Repository: hyperledger/fabric-chaincode-evm
Branch: main
Commit: 7bda24951b44
Files: 3589
Total size: 45.4 MB
Directory structure:
gitextract_ekf5vr0h/
├── .github/
│ ├── pull_request_template.md
│ ├── settings.yml
│ └── stale.yml
├── .gitignore
├── CHANGELOG.md
├── CODEOWNERS
├── CODE_OF_CONDUCT.md
├── CONTRIBUTING.md
├── Fab3_Instructions.md
├── LICENSE
├── MAINTAINERS.md
├── Makefile
├── README.md
├── SECURITY.md
├── ci/
│ └── azure-pipelines.yml
├── evmcc/
│ ├── address/
│ │ ├── converter.go
│ │ ├── converter_suite_test.go
│ │ └── converter_test.go
│ ├── event/
│ │ └── event.go
│ ├── eventmanager/
│ │ ├── eventmanager.go
│ │ ├── eventmanager_suite_test.go
│ │ └── eventmanager_test.go
│ ├── evmcc.go
│ ├── evmcc_suite_test.go
│ ├── evmcc_test.go
│ ├── go.mod
│ ├── go.sum
│ ├── mocks/
│ │ └── mockstub.go
│ ├── statemanager/
│ │ ├── statemanager.go
│ │ ├── statemanager_suite_test.go
│ │ └── statemanager_test.go
│ └── vendor/
│ ├── github.com/
│ │ ├── Azure/
│ │ │ └── go-ansiterm/
│ │ │ ├── LICENSE
│ │ │ ├── README.md
│ │ │ ├── constants.go
│ │ │ ├── context.go
│ │ │ ├── csi_entry_state.go
│ │ │ ├── csi_param_state.go
│ │ │ ├── escape_intermediate_state.go
│ │ │ ├── escape_state.go
│ │ │ ├── event_handler.go
│ │ │ ├── ground_state.go
│ │ │ ├── osc_string_state.go
│ │ │ ├── parser.go
│ │ │ ├── parser_action_helpers.go
│ │ │ ├── parser_actions.go
│ │ │ ├── states.go
│ │ │ ├── utilities.go
│ │ │ └── winterm/
│ │ │ ├── ansi.go
│ │ │ ├── api.go
│ │ │ ├── attr_translation.go
│ │ │ ├── cursor_helpers.go
│ │ │ ├── erase_helpers.go
│ │ │ ├── scroll_helper.go
│ │ │ ├── utilities.go
│ │ │ └── win_event_handler.go
│ │ ├── Microsoft/
│ │ │ └── go-winio/
│ │ │ ├── .gitignore
│ │ │ ├── LICENSE
│ │ │ ├── README.md
│ │ │ ├── backup.go
│ │ │ ├── ea.go
│ │ │ ├── file.go
│ │ │ ├── fileinfo.go
│ │ │ ├── pipe.go
│ │ │ ├── privilege.go
│ │ │ ├── reparse.go
│ │ │ ├── sd.go
│ │ │ ├── syscall.go
│ │ │ └── zsyscall_windows.go
│ │ ├── Nvveen/
│ │ │ └── Gotty/
│ │ │ ├── LICENSE
│ │ │ ├── README
│ │ │ ├── TODO
│ │ │ ├── attributes.go
│ │ │ ├── gotty.go
│ │ │ ├── parser.go
│ │ │ └── types.go
│ │ ├── btcsuite/
│ │ │ └── btcd/
│ │ │ ├── LICENSE
│ │ │ └── btcec/
│ │ │ ├── README.md
│ │ │ ├── btcec.go
│ │ │ ├── ciphering.go
│ │ │ ├── doc.go
│ │ │ ├── field.go
│ │ │ ├── genprecomps.go
│ │ │ ├── gensecp256k1.go
│ │ │ ├── precompute.go
│ │ │ ├── privkey.go
│ │ │ ├── pubkey.go
│ │ │ ├── secp256k1.go
│ │ │ └── signature.go
│ │ ├── containerd/
│ │ │ └── continuity/
│ │ │ ├── AUTHORS
│ │ │ ├── LICENSE
│ │ │ └── pathdriver/
│ │ │ └── path_driver.go
│ │ ├── davecgh/
│ │ │ └── go-spew/
│ │ │ ├── LICENSE
│ │ │ └── spew/
│ │ │ ├── bypass.go
│ │ │ ├── bypasssafe.go
│ │ │ ├── common.go
│ │ │ ├── config.go
│ │ │ ├── doc.go
│ │ │ ├── dump.go
│ │ │ ├── format.go
│ │ │ └── spew.go
│ │ ├── docker/
│ │ │ ├── docker/
│ │ │ │ ├── AUTHORS
│ │ │ │ ├── LICENSE
│ │ │ │ ├── NOTICE
│ │ │ │ ├── api/
│ │ │ │ │ └── types/
│ │ │ │ │ ├── auth.go
│ │ │ │ │ ├── blkiodev/
│ │ │ │ │ │ └── blkio.go
│ │ │ │ │ ├── client.go
│ │ │ │ │ ├── configs.go
│ │ │ │ │ ├── container/
│ │ │ │ │ │ ├── config.go
│ │ │ │ │ │ ├── container_changes.go
│ │ │ │ │ │ ├── container_create.go
│ │ │ │ │ │ ├── container_top.go
│ │ │ │ │ │ ├── container_update.go
│ │ │ │ │ │ ├── container_wait.go
│ │ │ │ │ │ ├── host_config.go
│ │ │ │ │ │ ├── hostconfig_unix.go
│ │ │ │ │ │ ├── hostconfig_windows.go
│ │ │ │ │ │ └── waitcondition.go
│ │ │ │ │ ├── error_response.go
│ │ │ │ │ ├── filters/
│ │ │ │ │ │ └── parse.go
│ │ │ │ │ ├── graph_driver_data.go
│ │ │ │ │ ├── id_response.go
│ │ │ │ │ ├── image_delete_response_item.go
│ │ │ │ │ ├── image_summary.go
│ │ │ │ │ ├── mount/
│ │ │ │ │ │ └── mount.go
│ │ │ │ │ ├── network/
│ │ │ │ │ │ └── network.go
│ │ │ │ │ ├── plugin.go
│ │ │ │ │ ├── plugin_device.go
│ │ │ │ │ ├── plugin_env.go
│ │ │ │ │ ├── plugin_interface_type.go
│ │ │ │ │ ├── plugin_mount.go
│ │ │ │ │ ├── plugin_responses.go
│ │ │ │ │ ├── port.go
│ │ │ │ │ ├── registry/
│ │ │ │ │ │ ├── authenticate.go
│ │ │ │ │ │ └── registry.go
│ │ │ │ │ ├── seccomp.go
│ │ │ │ │ ├── service_update_response.go
│ │ │ │ │ ├── stats.go
│ │ │ │ │ ├── strslice/
│ │ │ │ │ │ └── strslice.go
│ │ │ │ │ ├── swarm/
│ │ │ │ │ │ ├── common.go
│ │ │ │ │ │ ├── config.go
│ │ │ │ │ │ ├── container.go
│ │ │ │ │ │ ├── network.go
│ │ │ │ │ │ ├── node.go
│ │ │ │ │ │ ├── runtime/
│ │ │ │ │ │ │ ├── gen.go
│ │ │ │ │ │ │ ├── plugin.pb.go
│ │ │ │ │ │ │ └── plugin.proto
│ │ │ │ │ │ ├── runtime.go
│ │ │ │ │ │ ├── secret.go
│ │ │ │ │ │ ├── service.go
│ │ │ │ │ │ ├── swarm.go
│ │ │ │ │ │ └── task.go
│ │ │ │ │ ├── types.go
│ │ │ │ │ ├── versions/
│ │ │ │ │ │ ├── README.md
│ │ │ │ │ │ └── compare.go
│ │ │ │ │ └── volume.go
│ │ │ │ ├── errdefs/
│ │ │ │ │ ├── defs.go
│ │ │ │ │ ├── doc.go
│ │ │ │ │ ├── helpers.go
│ │ │ │ │ └── is.go
│ │ │ │ ├── opts/
│ │ │ │ │ ├── address_pools.go
│ │ │ │ │ ├── env.go
│ │ │ │ │ ├── hosts.go
│ │ │ │ │ ├── hosts_unix.go
│ │ │ │ │ ├── hosts_windows.go
│ │ │ │ │ ├── ip.go
│ │ │ │ │ ├── opts.go
│ │ │ │ │ ├── opts_unix.go
│ │ │ │ │ ├── opts_windows.go
│ │ │ │ │ ├── quotedstring.go
│ │ │ │ │ ├── runtime.go
│ │ │ │ │ └── ulimit.go
│ │ │ │ └── pkg/
│ │ │ │ ├── fileutils/
│ │ │ │ │ ├── fileutils.go
│ │ │ │ │ ├── fileutils_darwin.go
│ │ │ │ │ ├── fileutils_unix.go
│ │ │ │ │ └── fileutils_windows.go
│ │ │ │ ├── homedir/
│ │ │ │ │ ├── homedir_linux.go
│ │ │ │ │ ├── homedir_others.go
│ │ │ │ │ ├── homedir_unix.go
│ │ │ │ │ └── homedir_windows.go
│ │ │ │ ├── idtools/
│ │ │ │ │ ├── idtools.go
│ │ │ │ │ ├── idtools_unix.go
│ │ │ │ │ ├── idtools_windows.go
│ │ │ │ │ ├── usergroupadd_linux.go
│ │ │ │ │ ├── usergroupadd_unsupported.go
│ │ │ │ │ └── utils_unix.go
│ │ │ │ ├── ioutils/
│ │ │ │ │ ├── buffer.go
│ │ │ │ │ ├── bytespipe.go
│ │ │ │ │ ├── fswriters.go
│ │ │ │ │ ├── readers.go
│ │ │ │ │ ├── temp_unix.go
│ │ │ │ │ ├── temp_windows.go
│ │ │ │ │ ├── writeflusher.go
│ │ │ │ │ └── writers.go
│ │ │ │ ├── longpath/
│ │ │ │ │ └── longpath.go
│ │ │ │ ├── mount/
│ │ │ │ │ ├── flags.go
│ │ │ │ │ ├── flags_freebsd.go
│ │ │ │ │ ├── flags_linux.go
│ │ │ │ │ ├── flags_unsupported.go
│ │ │ │ │ ├── mount.go
│ │ │ │ │ ├── mounter_freebsd.go
│ │ │ │ │ ├── mounter_linux.go
│ │ │ │ │ ├── mounter_unsupported.go
│ │ │ │ │ ├── mountinfo.go
│ │ │ │ │ ├── mountinfo_freebsd.go
│ │ │ │ │ ├── mountinfo_linux.go
│ │ │ │ │ ├── mountinfo_unsupported.go
│ │ │ │ │ ├── mountinfo_windows.go
│ │ │ │ │ └── sharedsubtree_linux.go
│ │ │ │ ├── pools/
│ │ │ │ │ └── pools.go
│ │ │ │ ├── stdcopy/
│ │ │ │ │ └── stdcopy.go
│ │ │ │ └── system/
│ │ │ │ ├── chtimes.go
│ │ │ │ ├── chtimes_unix.go
│ │ │ │ ├── chtimes_windows.go
│ │ │ │ ├── errors.go
│ │ │ │ ├── exitcode.go
│ │ │ │ ├── filesys.go
│ │ │ │ ├── filesys_windows.go
│ │ │ │ ├── init.go
│ │ │ │ ├── init_unix.go
│ │ │ │ ├── init_windows.go
│ │ │ │ ├── lcow.go
│ │ │ │ ├── lcow_unix.go
│ │ │ │ ├── lcow_windows.go
│ │ │ │ ├── lstat_unix.go
│ │ │ │ ├── lstat_windows.go
│ │ │ │ ├── meminfo.go
│ │ │ │ ├── meminfo_linux.go
│ │ │ │ ├── meminfo_unsupported.go
│ │ │ │ ├── meminfo_windows.go
│ │ │ │ ├── mknod.go
│ │ │ │ ├── mknod_windows.go
│ │ │ │ ├── path.go
│ │ │ │ ├── process_unix.go
│ │ │ │ ├── process_windows.go
│ │ │ │ ├── rm.go
│ │ │ │ ├── stat_darwin.go
│ │ │ │ ├── stat_freebsd.go
│ │ │ │ ├── stat_linux.go
│ │ │ │ ├── stat_openbsd.go
│ │ │ │ ├── stat_solaris.go
│ │ │ │ ├── stat_unix.go
│ │ │ │ ├── stat_windows.go
│ │ │ │ ├── syscall_unix.go
│ │ │ │ ├── syscall_windows.go
│ │ │ │ ├── umask.go
│ │ │ │ ├── umask_windows.go
│ │ │ │ ├── utimes_freebsd.go
│ │ │ │ ├── utimes_linux.go
│ │ │ │ ├── utimes_unsupported.go
│ │ │ │ ├── xattrs_linux.go
│ │ │ │ └── xattrs_unsupported.go
│ │ │ ├── go-connections/
│ │ │ │ ├── LICENSE
│ │ │ │ └── nat/
│ │ │ │ ├── nat.go
│ │ │ │ ├── parse.go
│ │ │ │ └── sort.go
│ │ │ ├── go-units/
│ │ │ │ ├── CONTRIBUTING.md
│ │ │ │ ├── LICENSE
│ │ │ │ ├── MAINTAINERS
│ │ │ │ ├── README.md
│ │ │ │ ├── circle.yml
│ │ │ │ ├── duration.go
│ │ │ │ ├── size.go
│ │ │ │ └── ulimit.go
│ │ │ └── libnetwork/
│ │ │ ├── LICENSE
│ │ │ └── ipamutils/
│ │ │ └── utils.go
│ │ ├── fsnotify/
│ │ │ └── fsnotify/
│ │ │ ├── .editorconfig
│ │ │ ├── .gitignore
│ │ │ ├── .travis.yml
│ │ │ ├── AUTHORS
│ │ │ ├── CHANGELOG.md
│ │ │ ├── CONTRIBUTING.md
│ │ │ ├── LICENSE
│ │ │ ├── README.md
│ │ │ ├── fen.go
│ │ │ ├── fsnotify.go
│ │ │ ├── inotify.go
│ │ │ ├── inotify_poller.go
│ │ │ ├── kqueue.go
│ │ │ ├── open_mode_bsd.go
│ │ │ ├── open_mode_darwin.go
│ │ │ └── windows.go
│ │ ├── go-kit/
│ │ │ └── kit/
│ │ │ ├── LICENSE
│ │ │ └── log/
│ │ │ ├── README.md
│ │ │ ├── doc.go
│ │ │ ├── json_logger.go
│ │ │ ├── level/
│ │ │ │ ├── doc.go
│ │ │ │ └── level.go
│ │ │ ├── log.go
│ │ │ ├── logfmt_logger.go
│ │ │ ├── nop_logger.go
│ │ │ ├── stdlib.go
│ │ │ ├── sync.go
│ │ │ ├── term/
│ │ │ │ ├── LICENSE
│ │ │ │ ├── colorlogger.go
│ │ │ │ ├── colorwriter_others.go
│ │ │ │ ├── colorwriter_windows.go
│ │ │ │ ├── term.go
│ │ │ │ ├── terminal_appengine.go
│ │ │ │ ├── terminal_darwin.go
│ │ │ │ ├── terminal_freebsd.go
│ │ │ │ ├── terminal_linux.go
│ │ │ │ ├── terminal_notwindows.go
│ │ │ │ ├── terminal_openbsd.go
│ │ │ │ └── terminal_windows.go
│ │ │ └── value.go
│ │ ├── go-logfmt/
│ │ │ └── logfmt/
│ │ │ ├── .gitignore
│ │ │ ├── .travis.yml
│ │ │ ├── CHANGELOG.md
│ │ │ ├── LICENSE
│ │ │ ├── README.md
│ │ │ ├── decode.go
│ │ │ ├── doc.go
│ │ │ ├── encode.go
│ │ │ ├── fuzz.go
│ │ │ ├── go.mod
│ │ │ ├── go.sum
│ │ │ └── jsonstring.go
│ │ ├── gogo/
│ │ │ └── protobuf/
│ │ │ ├── AUTHORS
│ │ │ ├── CONTRIBUTORS
│ │ │ ├── LICENSE
│ │ │ ├── gogoproto/
│ │ │ │ ├── Makefile
│ │ │ │ ├── doc.go
│ │ │ │ ├── gogo.pb.go
│ │ │ │ ├── gogo.pb.golden
│ │ │ │ ├── gogo.proto
│ │ │ │ └── helper.go
│ │ │ ├── jsonpb/
│ │ │ │ └── jsonpb.go
│ │ │ ├── proto/
│ │ │ │ ├── Makefile
│ │ │ │ ├── clone.go
│ │ │ │ ├── custom_gogo.go
│ │ │ │ ├── decode.go
│ │ │ │ ├── deprecated.go
│ │ │ │ ├── discard.go
│ │ │ │ ├── duration.go
│ │ │ │ ├── duration_gogo.go
│ │ │ │ ├── encode.go
│ │ │ │ ├── encode_gogo.go
│ │ │ │ ├── equal.go
│ │ │ │ ├── extensions.go
│ │ │ │ ├── extensions_gogo.go
│ │ │ │ ├── lib.go
│ │ │ │ ├── lib_gogo.go
│ │ │ │ ├── message_set.go
│ │ │ │ ├── pointer_reflect.go
│ │ │ │ ├── pointer_reflect_gogo.go
│ │ │ │ ├── pointer_unsafe.go
│ │ │ │ ├── pointer_unsafe_gogo.go
│ │ │ │ ├── properties.go
│ │ │ │ ├── properties_gogo.go
│ │ │ │ ├── skip_gogo.go
│ │ │ │ ├── table_marshal.go
│ │ │ │ ├── table_marshal_gogo.go
│ │ │ │ ├── table_merge.go
│ │ │ │ ├── table_unmarshal.go
│ │ │ │ ├── table_unmarshal_gogo.go
│ │ │ │ ├── text.go
│ │ │ │ ├── text_gogo.go
│ │ │ │ ├── text_parser.go
│ │ │ │ ├── timestamp.go
│ │ │ │ ├── timestamp_gogo.go
│ │ │ │ ├── wrappers.go
│ │ │ │ └── wrappers_gogo.go
│ │ │ ├── protoc-gen-gogo/
│ │ │ │ └── descriptor/
│ │ │ │ ├── Makefile
│ │ │ │ ├── descriptor.go
│ │ │ │ ├── descriptor.pb.go
│ │ │ │ ├── descriptor_gostring.gen.go
│ │ │ │ └── helper.go
│ │ │ ├── sortkeys/
│ │ │ │ └── sortkeys.go
│ │ │ └── types/
│ │ │ ├── any.go
│ │ │ ├── any.pb.go
│ │ │ ├── api.pb.go
│ │ │ ├── doc.go
│ │ │ ├── duration.go
│ │ │ ├── duration.pb.go
│ │ │ ├── duration_gogo.go
│ │ │ ├── empty.pb.go
│ │ │ ├── field_mask.pb.go
│ │ │ ├── protosize.go
│ │ │ ├── source_context.pb.go
│ │ │ ├── struct.pb.go
│ │ │ ├── timestamp.go
│ │ │ ├── timestamp.pb.go
│ │ │ ├── timestamp_gogo.go
│ │ │ ├── type.pb.go
│ │ │ ├── wrappers.pb.go
│ │ │ └── wrappers_gogo.go
│ │ ├── golang/
│ │ │ └── protobuf/
│ │ │ ├── AUTHORS
│ │ │ ├── CONTRIBUTORS
│ │ │ ├── LICENSE
│ │ │ ├── proto/
│ │ │ │ ├── clone.go
│ │ │ │ ├── decode.go
│ │ │ │ ├── deprecated.go
│ │ │ │ ├── discard.go
│ │ │ │ ├── encode.go
│ │ │ │ ├── equal.go
│ │ │ │ ├── extensions.go
│ │ │ │ ├── lib.go
│ │ │ │ ├── message_set.go
│ │ │ │ ├── pointer_reflect.go
│ │ │ │ ├── pointer_unsafe.go
│ │ │ │ ├── properties.go
│ │ │ │ ├── table_marshal.go
│ │ │ │ ├── table_merge.go
│ │ │ │ ├── table_unmarshal.go
│ │ │ │ ├── text.go
│ │ │ │ └── text_parser.go
│ │ │ └── ptypes/
│ │ │ ├── any/
│ │ │ │ ├── any.pb.go
│ │ │ │ └── any.proto
│ │ │ ├── any.go
│ │ │ ├── doc.go
│ │ │ ├── duration/
│ │ │ │ ├── duration.pb.go
│ │ │ │ └── duration.proto
│ │ │ ├── duration.go
│ │ │ ├── empty/
│ │ │ │ ├── empty.pb.go
│ │ │ │ └── empty.proto
│ │ │ ├── timestamp/
│ │ │ │ ├── timestamp.pb.go
│ │ │ │ └── timestamp.proto
│ │ │ └── timestamp.go
│ │ ├── hashicorp/
│ │ │ └── hcl/
│ │ │ ├── .gitignore
│ │ │ ├── .travis.yml
│ │ │ ├── LICENSE
│ │ │ ├── Makefile
│ │ │ ├── README.md
│ │ │ ├── appveyor.yml
│ │ │ ├── decoder.go
│ │ │ ├── go.mod
│ │ │ ├── go.sum
│ │ │ ├── hcl/
│ │ │ │ ├── ast/
│ │ │ │ │ ├── ast.go
│ │ │ │ │ └── walk.go
│ │ │ │ ├── parser/
│ │ │ │ │ ├── error.go
│ │ │ │ │ └── parser.go
│ │ │ │ ├── printer/
│ │ │ │ │ ├── nodes.go
│ │ │ │ │ └── printer.go
│ │ │ │ ├── scanner/
│ │ │ │ │ └── scanner.go
│ │ │ │ ├── strconv/
│ │ │ │ │ └── quote.go
│ │ │ │ └── token/
│ │ │ │ ├── position.go
│ │ │ │ └── token.go
│ │ │ ├── hcl.go
│ │ │ ├── json/
│ │ │ │ ├── parser/
│ │ │ │ │ ├── flatten.go
│ │ │ │ │ └── parser.go
│ │ │ │ ├── scanner/
│ │ │ │ │ └── scanner.go
│ │ │ │ └── token/
│ │ │ │ ├── position.go
│ │ │ │ └── token.go
│ │ │ ├── lex.go
│ │ │ └── parse.go
│ │ ├── hpcloud/
│ │ │ └── tail/
│ │ │ ├── .gitignore
│ │ │ ├── .travis.yml
│ │ │ ├── CHANGES.md
│ │ │ ├── Dockerfile
│ │ │ ├── LICENSE.txt
│ │ │ ├── Makefile
│ │ │ ├── README.md
│ │ │ ├── appveyor.yml
│ │ │ ├── ratelimiter/
│ │ │ │ ├── Licence
│ │ │ │ ├── leakybucket.go
│ │ │ │ ├── memory.go
│ │ │ │ └── storage.go
│ │ │ ├── tail.go
│ │ │ ├── tail_posix.go
│ │ │ ├── tail_windows.go
│ │ │ ├── util/
│ │ │ │ └── util.go
│ │ │ ├── watch/
│ │ │ │ ├── filechanges.go
│ │ │ │ ├── inotify.go
│ │ │ │ ├── inotify_tracker.go
│ │ │ │ ├── polling.go
│ │ │ │ └── watch.go
│ │ │ └── winfile/
│ │ │ └── winfile.go
│ │ ├── hyperledger/
│ │ │ ├── burrow/
│ │ │ │ ├── LICENSE.md
│ │ │ │ ├── acm/
│ │ │ │ │ ├── account.go
│ │ │ │ │ ├── acm.go
│ │ │ │ │ ├── acm.pb.go
│ │ │ │ │ ├── acmstate/
│ │ │ │ │ │ ├── dump_state.go
│ │ │ │ │ │ ├── memory_state.go
│ │ │ │ │ │ ├── state.go
│ │ │ │ │ │ └── state_cache.go
│ │ │ │ │ ├── balance/
│ │ │ │ │ │ ├── balance.go
│ │ │ │ │ │ ├── balance.pb.go
│ │ │ │ │ │ └── type.go
│ │ │ │ │ ├── bytecode.go
│ │ │ │ │ ├── private_account.go
│ │ │ │ │ └── validator/
│ │ │ │ │ ├── bucket.go
│ │ │ │ │ ├── cache.go
│ │ │ │ │ ├── ring.go
│ │ │ │ │ ├── set.go
│ │ │ │ │ ├── validator.go
│ │ │ │ │ ├── validator.pb.go
│ │ │ │ │ └── validators.go
│ │ │ │ ├── binary/
│ │ │ │ │ ├── bytes.go
│ │ │ │ │ ├── byteslice.go
│ │ │ │ │ ├── integer.go
│ │ │ │ │ ├── word160.go
│ │ │ │ │ └── word256.go
│ │ │ │ ├── crypto/
│ │ │ │ │ ├── address.go
│ │ │ │ │ ├── crypto.go
│ │ │ │ │ ├── crypto.pb.go
│ │ │ │ │ ├── private_key.go
│ │ │ │ │ ├── public_key.go
│ │ │ │ │ ├── sha3/
│ │ │ │ │ │ ├── LICENSE
│ │ │ │ │ │ ├── PATENTS
│ │ │ │ │ │ ├── keccakf.go
│ │ │ │ │ │ └── sha3.go
│ │ │ │ │ ├── signature.go
│ │ │ │ │ └── tendermint.go
│ │ │ │ ├── deploy/
│ │ │ │ │ └── compile/
│ │ │ │ │ └── compilers.go
│ │ │ │ ├── event/
│ │ │ │ │ ├── convention.go
│ │ │ │ │ ├── emitter.go
│ │ │ │ │ ├── pubsub/
│ │ │ │ │ │ └── pubsub.go
│ │ │ │ │ └── query/
│ │ │ │ │ ├── Makefile
│ │ │ │ │ ├── builder.go
│ │ │ │ │ ├── empty.go
│ │ │ │ │ ├── query.go
│ │ │ │ │ ├── query.peg
│ │ │ │ │ ├── query.peg.go
│ │ │ │ │ ├── reflect_tagged.go
│ │ │ │ │ └── tags.go
│ │ │ │ ├── execution/
│ │ │ │ │ ├── errors/
│ │ │ │ │ │ ├── errors.go
│ │ │ │ │ │ ├── errors.pb.go
│ │ │ │ │ │ ├── native.go
│ │ │ │ │ │ └── vm.go
│ │ │ │ │ ├── evm/
│ │ │ │ │ │ ├── abi/
│ │ │ │ │ │ │ ├── abi.go
│ │ │ │ │ │ │ └── core.go
│ │ │ │ │ │ ├── asm/
│ │ │ │ │ │ │ ├── bc/
│ │ │ │ │ │ │ │ └── helpers.go
│ │ │ │ │ │ │ └── opcodes.go
│ │ │ │ │ │ ├── event_sink.go
│ │ │ │ │ │ ├── fake_app_state.go
│ │ │ │ │ │ ├── gas.go
│ │ │ │ │ │ ├── memory.go
│ │ │ │ │ │ ├── native.go
│ │ │ │ │ │ ├── options.go
│ │ │ │ │ │ ├── snative.go
│ │ │ │ │ │ ├── stack.go
│ │ │ │ │ │ ├── state.go
│ │ │ │ │ │ └── vm.go
│ │ │ │ │ ├── exec/
│ │ │ │ │ │ ├── block_execution.go
│ │ │ │ │ │ ├── call_event.go
│ │ │ │ │ │ ├── codec.go
│ │ │ │ │ │ ├── event.go
│ │ │ │ │ │ ├── exec.pb.go
│ │ │ │ │ │ ├── govern_account_event.go
│ │ │ │ │ │ ├── header.go
│ │ │ │ │ │ ├── log_event.go
│ │ │ │ │ │ ├── stream_event.go
│ │ │ │ │ │ └── tx_execution.go
│ │ │ │ │ └── names/
│ │ │ │ │ ├── cache.go
│ │ │ │ │ ├── names.go
│ │ │ │ │ └── names.pb.go
│ │ │ │ ├── genesis/
│ │ │ │ │ ├── deterministic_genesis.go
│ │ │ │ │ ├── genesis.go
│ │ │ │ │ └── spec/
│ │ │ │ │ ├── genesis_spec.go
│ │ │ │ │ ├── presets.go
│ │ │ │ │ ├── spec.pb.go
│ │ │ │ │ └── template_account.go
│ │ │ │ ├── keys/
│ │ │ │ │ ├── config.go
│ │ │ │ │ ├── core.go
│ │ │ │ │ ├── key_client.go
│ │ │ │ │ ├── key_store.go
│ │ │ │ │ ├── keys.pb.go
│ │ │ │ │ └── server.go
│ │ │ │ ├── logging/
│ │ │ │ │ ├── logger.go
│ │ │ │ │ ├── structure/
│ │ │ │ │ │ └── structure.go
│ │ │ │ │ └── terminal.go
│ │ │ │ ├── permission/
│ │ │ │ │ ├── account_permissions.go
│ │ │ │ │ ├── base_permissions.go
│ │ │ │ │ ├── errors.go
│ │ │ │ │ ├── perm_flag.go
│ │ │ │ │ ├── permission.pb.go
│ │ │ │ │ ├── permissions.go
│ │ │ │ │ ├── snatives.go
│ │ │ │ │ └── util.go
│ │ │ │ ├── process/
│ │ │ │ │ └── process.go
│ │ │ │ └── txs/
│ │ │ │ ├── amino_codec.go
│ │ │ │ ├── envelope.go
│ │ │ │ ├── json_codec.go
│ │ │ │ ├── payload/
│ │ │ │ │ ├── batch_tx.go
│ │ │ │ │ ├── bond_tx.go
│ │ │ │ │ ├── call_tx.go
│ │ │ │ │ ├── gov_tx.go
│ │ │ │ │ ├── name_tx.go
│ │ │ │ │ ├── payload.go
│ │ │ │ │ ├── payload.pb.go
│ │ │ │ │ ├── perms_tx.go
│ │ │ │ │ ├── proposal_tx.go
│ │ │ │ │ ├── send_tx.go
│ │ │ │ │ ├── tx_input.go
│ │ │ │ │ ├── tx_output.go
│ │ │ │ │ └── unbond_tx.go
│ │ │ │ ├── tx.go
│ │ │ │ └── txs.pb.go
│ │ │ ├── fabric/
│ │ │ │ ├── LICENSE
│ │ │ │ ├── bccsp/
│ │ │ │ │ ├── aesopts.go
│ │ │ │ │ ├── bccsp.go
│ │ │ │ │ ├── ecdsaopts.go
│ │ │ │ │ ├── factory/
│ │ │ │ │ │ ├── factory.go
│ │ │ │ │ │ ├── nopkcs11.go
│ │ │ │ │ │ ├── opts.go
│ │ │ │ │ │ ├── pkcs11.go
│ │ │ │ │ │ ├── pkcs11factory.go
│ │ │ │ │ │ ├── pluginfactory.go
│ │ │ │ │ │ └── swfactory.go
│ │ │ │ │ ├── hashopts.go
│ │ │ │ │ ├── idemix/
│ │ │ │ │ │ ├── bccsp.go
│ │ │ │ │ │ ├── bridge/
│ │ │ │ │ │ │ ├── credential.go
│ │ │ │ │ │ │ ├── credrequest.go
│ │ │ │ │ │ │ ├── issuer.go
│ │ │ │ │ │ │ ├── math.go
│ │ │ │ │ │ │ ├── nymsignaturescheme.go
│ │ │ │ │ │ │ ├── rand.go
│ │ │ │ │ │ │ ├── revocation.go
│ │ │ │ │ │ │ ├── signaturescheme.go
│ │ │ │ │ │ │ └── user.go
│ │ │ │ │ │ └── handlers/
│ │ │ │ │ │ ├── cred.go
│ │ │ │ │ │ ├── idemix.go
│ │ │ │ │ │ ├── issuer.go
│ │ │ │ │ │ ├── nym.go
│ │ │ │ │ │ ├── nymsigner.go
│ │ │ │ │ │ ├── revocation.go
│ │ │ │ │ │ ├── signer.go
│ │ │ │ │ │ └── user.go
│ │ │ │ │ ├── idemixerrs.go
│ │ │ │ │ ├── idemixopts.go
│ │ │ │ │ ├── keystore.go
│ │ │ │ │ ├── opts.go
│ │ │ │ │ ├── pkcs11/
│ │ │ │ │ │ ├── conf.go
│ │ │ │ │ │ ├── ecdsa.go
│ │ │ │ │ │ ├── ecdsakey.go
│ │ │ │ │ │ ├── impl.go
│ │ │ │ │ │ └── pkcs11.go
│ │ │ │ │ ├── rsaopts.go
│ │ │ │ │ ├── signer/
│ │ │ │ │ │ └── signer.go
│ │ │ │ │ ├── sw/
│ │ │ │ │ │ ├── aes.go
│ │ │ │ │ │ ├── aeskey.go
│ │ │ │ │ │ ├── conf.go
│ │ │ │ │ │ ├── dummyks.go
│ │ │ │ │ │ ├── ecdsa.go
│ │ │ │ │ │ ├── ecdsakey.go
│ │ │ │ │ │ ├── fileks.go
│ │ │ │ │ │ ├── hash.go
│ │ │ │ │ │ ├── impl.go
│ │ │ │ │ │ ├── inmemoryks.go
│ │ │ │ │ │ ├── internals.go
│ │ │ │ │ │ ├── keyderiv.go
│ │ │ │ │ │ ├── keygen.go
│ │ │ │ │ │ ├── keyimport.go
│ │ │ │ │ │ ├── new.go
│ │ │ │ │ │ ├── rsa.go
│ │ │ │ │ │ └── rsakey.go
│ │ │ │ │ └── utils/
│ │ │ │ │ ├── ecdsa.go
│ │ │ │ │ ├── errs.go
│ │ │ │ │ ├── io.go
│ │ │ │ │ ├── keys.go
│ │ │ │ │ ├── slice.go
│ │ │ │ │ └── x509.go
│ │ │ │ ├── common/
│ │ │ │ │ ├── crypto/
│ │ │ │ │ │ ├── expiration.go
│ │ │ │ │ │ ├── random.go
│ │ │ │ │ │ └── signer.go
│ │ │ │ │ ├── flogging/
│ │ │ │ │ │ ├── core.go
│ │ │ │ │ │ ├── fabenc/
│ │ │ │ │ │ │ ├── color.go
│ │ │ │ │ │ │ ├── encoder.go
│ │ │ │ │ │ │ └── formatter.go
│ │ │ │ │ │ ├── global.go
│ │ │ │ │ │ ├── legacy.go
│ │ │ │ │ │ ├── levels.go
│ │ │ │ │ │ ├── loggerlevels.go
│ │ │ │ │ │ ├── logging.go
│ │ │ │ │ │ └── zap.go
│ │ │ │ │ ├── ledger/
│ │ │ │ │ │ └── ledger_interface.go
│ │ │ │ │ ├── metadata/
│ │ │ │ │ │ └── metadata.go
│ │ │ │ │ ├── metrics/
│ │ │ │ │ │ └── provider.go
│ │ │ │ │ └── util/
│ │ │ │ │ ├── net.go
│ │ │ │ │ └── utils.go
│ │ │ │ ├── core/
│ │ │ │ │ ├── chaincode/
│ │ │ │ │ │ ├── platforms/
│ │ │ │ │ │ │ ├── ccmetadata/
│ │ │ │ │ │ │ │ ├── ccmetadata.go
│ │ │ │ │ │ │ │ ├── targzmetadataprovider.go
│ │ │ │ │ │ │ │ └── validators.go
│ │ │ │ │ │ │ └── platforms.go
│ │ │ │ │ │ └── shim/
│ │ │ │ │ │ ├── chaincode.go
│ │ │ │ │ │ ├── handler.go
│ │ │ │ │ │ ├── inprocstream.go
│ │ │ │ │ │ ├── interfaces.go
│ │ │ │ │ │ ├── mockstub.go
│ │ │ │ │ │ └── response.go
│ │ │ │ │ ├── comm/
│ │ │ │ │ │ ├── client.go
│ │ │ │ │ │ ├── config.go
│ │ │ │ │ │ ├── connection.go
│ │ │ │ │ │ ├── creds.go
│ │ │ │ │ │ ├── metrics.go
│ │ │ │ │ │ ├── producer.go
│ │ │ │ │ │ ├── server.go
│ │ │ │ │ │ ├── serverstatshandler.go
│ │ │ │ │ │ └── util.go
│ │ │ │ │ ├── config/
│ │ │ │ │ │ └── config.go
│ │ │ │ │ └── container/
│ │ │ │ │ └── util/
│ │ │ │ │ ├── dockerutil.go
│ │ │ │ │ └── writer.go
│ │ │ │ ├── idemix/
│ │ │ │ │ ├── credential.go
│ │ │ │ │ ├── credrequest.go
│ │ │ │ │ ├── idemix.pb.go
│ │ │ │ │ ├── issuerkey.go
│ │ │ │ │ ├── nonrevocation-prover.go
│ │ │ │ │ ├── nonrevocation-verifier.go
│ │ │ │ │ ├── nymsignature.go
│ │ │ │ │ ├── revocation_authority.go
│ │ │ │ │ ├── signature.go
│ │ │ │ │ ├── util.go
│ │ │ │ │ └── weak-bb.go
│ │ │ │ ├── msp/
│ │ │ │ │ ├── cert.go
│ │ │ │ │ ├── configbuilder.go
│ │ │ │ │ ├── factory.go
│ │ │ │ │ ├── idemix_roles.go
│ │ │ │ │ ├── idemixmsp.go
│ │ │ │ │ ├── identities.go
│ │ │ │ │ ├── msp.go
│ │ │ │ │ ├── mspimpl.go
│ │ │ │ │ ├── mspimplsetup.go
│ │ │ │ │ ├── mspimplvalidate.go
│ │ │ │ │ └── mspmgrimpl.go
│ │ │ │ └── protos/
│ │ │ │ ├── common/
│ │ │ │ │ ├── block.go
│ │ │ │ │ ├── collection.pb.go
│ │ │ │ │ ├── collection.proto
│ │ │ │ │ ├── common.go
│ │ │ │ │ ├── common.pb.go
│ │ │ │ │ ├── common.proto
│ │ │ │ │ ├── configtx.go
│ │ │ │ │ ├── configtx.pb.go
│ │ │ │ │ ├── configtx.proto
│ │ │ │ │ ├── configuration.go
│ │ │ │ │ ├── configuration.pb.go
│ │ │ │ │ ├── configuration.proto
│ │ │ │ │ ├── ledger.pb.go
│ │ │ │ │ ├── ledger.proto
│ │ │ │ │ ├── policies.go
│ │ │ │ │ ├── policies.pb.go
│ │ │ │ │ ├── policies.proto
│ │ │ │ │ └── signed_data.go
│ │ │ │ ├── ledger/
│ │ │ │ │ ├── queryresult/
│ │ │ │ │ │ ├── kv_query_result.pb.go
│ │ │ │ │ │ └── kv_query_result.proto
│ │ │ │ │ └── rwset/
│ │ │ │ │ ├── kvrwset/
│ │ │ │ │ │ ├── helper.go
│ │ │ │ │ │ ├── kv_rwset.pb.go
│ │ │ │ │ │ └── kv_rwset.proto
│ │ │ │ │ ├── rwset.go
│ │ │ │ │ ├── rwset.pb.go
│ │ │ │ │ └── rwset.proto
│ │ │ │ ├── msp/
│ │ │ │ │ ├── identities.pb.go
│ │ │ │ │ ├── identities.proto
│ │ │ │ │ ├── msp_config.go
│ │ │ │ │ ├── msp_config.pb.go
│ │ │ │ │ ├── msp_config.proto
│ │ │ │ │ ├── msp_principal.go
│ │ │ │ │ ├── msp_principal.pb.go
│ │ │ │ │ └── msp_principal.proto
│ │ │ │ ├── peer/
│ │ │ │ │ ├── admin.pb.go
│ │ │ │ │ ├── admin.proto
│ │ │ │ │ ├── chaincode.go
│ │ │ │ │ ├── chaincode.pb.go
│ │ │ │ │ ├── chaincode.proto
│ │ │ │ │ ├── chaincode_event.pb.go
│ │ │ │ │ ├── chaincode_event.proto
│ │ │ │ │ ├── chaincode_shim.pb.go
│ │ │ │ │ ├── chaincode_shim.proto
│ │ │ │ │ ├── chaincodeunmarshall.go
│ │ │ │ │ ├── configuration.go
│ │ │ │ │ ├── configuration.pb.go
│ │ │ │ │ ├── configuration.proto
│ │ │ │ │ ├── events.pb.go
│ │ │ │ │ ├── events.proto
│ │ │ │ │ ├── peer.pb.go
│ │ │ │ │ ├── peer.proto
│ │ │ │ │ ├── proposal.go
│ │ │ │ │ ├── proposal.pb.go
│ │ │ │ │ ├── proposal.proto
│ │ │ │ │ ├── proposal_response.go
│ │ │ │ │ ├── proposal_response.pb.go
│ │ │ │ │ ├── proposal_response.proto
│ │ │ │ │ ├── query.pb.go
│ │ │ │ │ ├── query.proto
│ │ │ │ │ ├── resources.pb.go
│ │ │ │ │ ├── resources.proto
│ │ │ │ │ ├── signed_cc_dep_spec.pb.go
│ │ │ │ │ ├── signed_cc_dep_spec.proto
│ │ │ │ │ ├── transaction.go
│ │ │ │ │ ├── transaction.pb.go
│ │ │ │ │ └── transaction.proto
│ │ │ │ ├── token/
│ │ │ │ │ ├── expectations.pb.go
│ │ │ │ │ ├── expectations.proto
│ │ │ │ │ ├── prover.pb.go
│ │ │ │ │ ├── prover.proto
│ │ │ │ │ ├── transaction.pb.go
│ │ │ │ │ └── transaction.proto
│ │ │ │ └── utils/
│ │ │ │ ├── blockutils.go
│ │ │ │ ├── chaincodeutils.go
│ │ │ │ ├── commonutils.go
│ │ │ │ ├── proputils.go
│ │ │ │ └── txutils.go
│ │ │ └── fabric-amcl/
│ │ │ ├── LICENSE
│ │ │ └── amcl/
│ │ │ ├── AES.go
│ │ │ ├── FP256BN/
│ │ │ │ ├── ARCH.go
│ │ │ │ ├── BIG.go
│ │ │ │ ├── DBIG.go
│ │ │ │ ├── ECDH.go
│ │ │ │ ├── ECP.go
│ │ │ │ ├── ECP2.go
│ │ │ │ ├── FP.go
│ │ │ │ ├── FP12.go
│ │ │ │ ├── FP2.go
│ │ │ │ ├── FP4.go
│ │ │ │ ├── MPIN.go
│ │ │ │ ├── PAIR.go
│ │ │ │ └── ROM.go
│ │ │ ├── GCM.go
│ │ │ ├── HASH256.go
│ │ │ ├── HASH384.go
│ │ │ ├── HASH512.go
│ │ │ ├── NHS.go
│ │ │ ├── RAND.go
│ │ │ └── SHA3.go
│ │ ├── konsorten/
│ │ │ └── go-windows-terminal-sequences/
│ │ │ ├── LICENSE
│ │ │ ├── README.md
│ │ │ ├── go.mod
│ │ │ └── sequences.go
│ │ ├── kr/
│ │ │ └── logfmt/
│ │ │ ├── .gitignore
│ │ │ ├── Readme
│ │ │ ├── decode.go
│ │ │ ├── scanner.go
│ │ │ └── unquote.go
│ │ ├── magiconair/
│ │ │ └── properties/
│ │ │ ├── .gitignore
│ │ │ ├── .travis.yml
│ │ │ ├── CHANGELOG.md
│ │ │ ├── LICENSE
│ │ │ ├── README.md
│ │ │ ├── decode.go
│ │ │ ├── doc.go
│ │ │ ├── go.mod
│ │ │ ├── integrate.go
│ │ │ ├── lex.go
│ │ │ ├── load.go
│ │ │ ├── parser.go
│ │ │ ├── properties.go
│ │ │ └── rangecheck.go
│ │ ├── miekg/
│ │ │ └── pkcs11/
│ │ │ ├── .gitignore
│ │ │ ├── .travis.yml
│ │ │ ├── LICENSE
│ │ │ ├── Makefile.release
│ │ │ ├── README.md
│ │ │ ├── const.go
│ │ │ ├── error.go
│ │ │ ├── go.mod
│ │ │ ├── params.go
│ │ │ ├── pkcs11.go
│ │ │ ├── pkcs11.h
│ │ │ ├── pkcs11f.h
│ │ │ ├── pkcs11go.h
│ │ │ ├── pkcs11t.h
│ │ │ ├── release.go
│ │ │ ├── softhsm.conf
│ │ │ ├── softhsm2.conf
│ │ │ ├── types.go
│ │ │ └── vendor.go
│ │ ├── mitchellh/
│ │ │ └── mapstructure/
│ │ │ ├── .travis.yml
│ │ │ ├── CHANGELOG.md
│ │ │ ├── LICENSE
│ │ │ ├── README.md
│ │ │ ├── decode_hooks.go
│ │ │ ├── error.go
│ │ │ ├── go.mod
│ │ │ └── mapstructure.go
│ │ ├── onsi/
│ │ │ ├── ginkgo/
│ │ │ │ ├── .gitignore
│ │ │ │ ├── .travis.yml
│ │ │ │ ├── CHANGELOG.md
│ │ │ │ ├── CONTRIBUTING.md
│ │ │ │ ├── LICENSE
│ │ │ │ ├── README.md
│ │ │ │ ├── RELEASING.md
│ │ │ │ ├── config/
│ │ │ │ │ └── config.go
│ │ │ │ ├── ginkgo_dsl.go
│ │ │ │ ├── internal/
│ │ │ │ │ ├── codelocation/
│ │ │ │ │ │ └── code_location.go
│ │ │ │ │ ├── containernode/
│ │ │ │ │ │ └── container_node.go
│ │ │ │ │ ├── failer/
│ │ │ │ │ │ └── failer.go
│ │ │ │ │ ├── leafnodes/
│ │ │ │ │ │ ├── benchmarker.go
│ │ │ │ │ │ ├── interfaces.go
│ │ │ │ │ │ ├── it_node.go
│ │ │ │ │ │ ├── measure_node.go
│ │ │ │ │ │ ├── runner.go
│ │ │ │ │ │ ├── setup_nodes.go
│ │ │ │ │ │ ├── suite_nodes.go
│ │ │ │ │ │ ├── synchronized_after_suite_node.go
│ │ │ │ │ │ └── synchronized_before_suite_node.go
│ │ │ │ │ ├── remote/
│ │ │ │ │ │ ├── aggregator.go
│ │ │ │ │ │ ├── forwarding_reporter.go
│ │ │ │ │ │ ├── output_interceptor.go
│ │ │ │ │ │ ├── output_interceptor_unix.go
│ │ │ │ │ │ ├── output_interceptor_win.go
│ │ │ │ │ │ ├── server.go
│ │ │ │ │ │ ├── syscall_dup_linux_arm64.go
│ │ │ │ │ │ ├── syscall_dup_solaris.go
│ │ │ │ │ │ └── syscall_dup_unix.go
│ │ │ │ │ ├── spec/
│ │ │ │ │ │ ├── spec.go
│ │ │ │ │ │ └── specs.go
│ │ │ │ │ ├── spec_iterator/
│ │ │ │ │ │ ├── index_computer.go
│ │ │ │ │ │ ├── parallel_spec_iterator.go
│ │ │ │ │ │ ├── serial_spec_iterator.go
│ │ │ │ │ │ ├── sharded_parallel_spec_iterator.go
│ │ │ │ │ │ └── spec_iterator.go
│ │ │ │ │ ├── specrunner/
│ │ │ │ │ │ ├── random_id.go
│ │ │ │ │ │ └── spec_runner.go
│ │ │ │ │ ├── suite/
│ │ │ │ │ │ └── suite.go
│ │ │ │ │ ├── testingtproxy/
│ │ │ │ │ │ └── testing_t_proxy.go
│ │ │ │ │ └── writer/
│ │ │ │ │ ├── fake_writer.go
│ │ │ │ │ └── writer.go
│ │ │ │ ├── reporters/
│ │ │ │ │ ├── default_reporter.go
│ │ │ │ │ ├── fake_reporter.go
│ │ │ │ │ ├── junit_reporter.go
│ │ │ │ │ ├── reporter.go
│ │ │ │ │ ├── stenographer/
│ │ │ │ │ │ ├── console_logging.go
│ │ │ │ │ │ ├── fake_stenographer.go
│ │ │ │ │ │ ├── stenographer.go
│ │ │ │ │ │ └── support/
│ │ │ │ │ │ ├── go-colorable/
│ │ │ │ │ │ │ ├── LICENSE
│ │ │ │ │ │ │ ├── README.md
│ │ │ │ │ │ │ ├── colorable_others.go
│ │ │ │ │ │ │ ├── colorable_windows.go
│ │ │ │ │ │ │ └── noncolorable.go
│ │ │ │ │ │ └── go-isatty/
│ │ │ │ │ │ ├── LICENSE
│ │ │ │ │ │ ├── README.md
│ │ │ │ │ │ ├── doc.go
│ │ │ │ │ │ ├── isatty_appengine.go
│ │ │ │ │ │ ├── isatty_bsd.go
│ │ │ │ │ │ ├── isatty_linux.go
│ │ │ │ │ │ ├── isatty_solaris.go
│ │ │ │ │ │ └── isatty_windows.go
│ │ │ │ │ └── teamcity_reporter.go
│ │ │ │ └── types/
│ │ │ │ ├── code_location.go
│ │ │ │ ├── synchronization.go
│ │ │ │ └── types.go
│ │ │ └── gomega/
│ │ │ ├── .gitignore
│ │ │ ├── .travis.yml
│ │ │ ├── CHANGELOG.md
│ │ │ ├── CONTRIBUTING.md
│ │ │ ├── LICENSE
│ │ │ ├── Makefile
│ │ │ ├── README.md
│ │ │ ├── RELEASING.md
│ │ │ ├── format/
│ │ │ │ └── format.go
│ │ │ ├── go.mod
│ │ │ ├── go.sum
│ │ │ ├── gomega_dsl.go
│ │ │ ├── internal/
│ │ │ │ ├── assertion/
│ │ │ │ │ └── assertion.go
│ │ │ │ ├── asyncassertion/
│ │ │ │ │ └── async_assertion.go
│ │ │ │ ├── oraclematcher/
│ │ │ │ │ └── oracle_matcher.go
│ │ │ │ └── testingtsupport/
│ │ │ │ └── testing_t_support.go
│ │ │ ├── matchers/
│ │ │ │ ├── and.go
│ │ │ │ ├── assignable_to_type_of_matcher.go
│ │ │ │ ├── attributes_slice.go
│ │ │ │ ├── be_a_directory.go
│ │ │ │ ├── be_a_regular_file.go
│ │ │ │ ├── be_an_existing_file.go
│ │ │ │ ├── be_closed_matcher.go
│ │ │ │ ├── be_element_of_matcher.go
│ │ │ │ ├── be_empty_matcher.go
│ │ │ │ ├── be_equivalent_to_matcher.go
│ │ │ │ ├── be_false_matcher.go
│ │ │ │ ├── be_identical_to.go
│ │ │ │ ├── be_nil_matcher.go
│ │ │ │ ├── be_numerically_matcher.go
│ │ │ │ ├── be_sent_matcher.go
│ │ │ │ ├── be_temporally_matcher.go
│ │ │ │ ├── be_true_matcher.go
│ │ │ │ ├── be_zero_matcher.go
│ │ │ │ ├── consist_of.go
│ │ │ │ ├── contain_element_matcher.go
│ │ │ │ ├── contain_substring_matcher.go
│ │ │ │ ├── equal_matcher.go
│ │ │ │ ├── have_cap_matcher.go
│ │ │ │ ├── have_key_matcher.go
│ │ │ │ ├── have_key_with_value_matcher.go
│ │ │ │ ├── have_len_matcher.go
│ │ │ │ ├── have_occurred_matcher.go
│ │ │ │ ├── have_prefix_matcher.go
│ │ │ │ ├── have_suffix_matcher.go
│ │ │ │ ├── match_error_matcher.go
│ │ │ │ ├── match_json_matcher.go
│ │ │ │ ├── match_regexp_matcher.go
│ │ │ │ ├── match_xml_matcher.go
│ │ │ │ ├── match_yaml_matcher.go
│ │ │ │ ├── not.go
│ │ │ │ ├── or.go
│ │ │ │ ├── panic_matcher.go
│ │ │ │ ├── receive_matcher.go
│ │ │ │ ├── semi_structured_data_support.go
│ │ │ │ ├── succeed_matcher.go
│ │ │ │ ├── support/
│ │ │ │ │ └── goraph/
│ │ │ │ │ ├── bipartitegraph/
│ │ │ │ │ │ ├── bipartitegraph.go
│ │ │ │ │ │ └── bipartitegraphmatching.go
│ │ │ │ │ ├── edge/
│ │ │ │ │ │ └── edge.go
│ │ │ │ │ ├── node/
│ │ │ │ │ │ └── node.go
│ │ │ │ │ └── util/
│ │ │ │ │ └── util.go
│ │ │ │ ├── type_support.go
│ │ │ │ └── with_transform.go
│ │ │ ├── matchers.go
│ │ │ └── types/
│ │ │ └── types.go
│ │ ├── op/
│ │ │ └── go-logging/
│ │ │ ├── .travis.yml
│ │ │ ├── CHANGELOG.md
│ │ │ ├── CONTRIBUTORS
│ │ │ ├── LICENSE
│ │ │ ├── README.md
│ │ │ ├── backend.go
│ │ │ ├── format.go
│ │ │ ├── level.go
│ │ │ ├── log_nix.go
│ │ │ ├── log_windows.go
│ │ │ ├── logger.go
│ │ │ ├── memory.go
│ │ │ ├── multi.go
│ │ │ ├── syslog.go
│ │ │ └── syslog_fallback.go
│ │ ├── opencontainers/
│ │ │ ├── go-digest/
│ │ │ │ ├── .mailmap
│ │ │ │ ├── .pullapprove.yml
│ │ │ │ ├── .travis.yml
│ │ │ │ ├── CONTRIBUTING.md
│ │ │ │ ├── LICENSE.code
│ │ │ │ ├── LICENSE.docs
│ │ │ │ ├── MAINTAINERS
│ │ │ │ ├── README.md
│ │ │ │ ├── algorithm.go
│ │ │ │ ├── digest.go
│ │ │ │ ├── digester.go
│ │ │ │ ├── doc.go
│ │ │ │ └── verifiers.go
│ │ │ ├── image-spec/
│ │ │ │ ├── LICENSE
│ │ │ │ └── specs-go/
│ │ │ │ ├── v1/
│ │ │ │ │ ├── annotations.go
│ │ │ │ │ ├── config.go
│ │ │ │ │ ├── descriptor.go
│ │ │ │ │ ├── index.go
│ │ │ │ │ ├── layout.go
│ │ │ │ │ ├── manifest.go
│ │ │ │ │ └── mediatype.go
│ │ │ │ ├── version.go
│ │ │ │ └── versioned.go
│ │ │ └── runc/
│ │ │ ├── LICENSE
│ │ │ ├── NOTICE
│ │ │ └── libcontainer/
│ │ │ └── user/
│ │ │ ├── MAINTAINERS
│ │ │ ├── lookup.go
│ │ │ ├── lookup_unix.go
│ │ │ ├── lookup_unsupported.go
│ │ │ └── user.go
│ │ ├── pelletier/
│ │ │ └── go-toml/
│ │ │ ├── .gitignore
│ │ │ ├── .travis.yml
│ │ │ ├── LICENSE
│ │ │ ├── README.md
│ │ │ ├── benchmark.json
│ │ │ ├── benchmark.sh
│ │ │ ├── benchmark.toml
│ │ │ ├── benchmark.yml
│ │ │ ├── doc.go
│ │ │ ├── example-crlf.toml
│ │ │ ├── example.toml
│ │ │ ├── fuzz.go
│ │ │ ├── fuzz.sh
│ │ │ ├── keysparsing.go
│ │ │ ├── lexer.go
│ │ │ ├── marshal.go
│ │ │ ├── marshal_test.toml
│ │ │ ├── parser.go
│ │ │ ├── position.go
│ │ │ ├── test.sh
│ │ │ ├── token.go
│ │ │ ├── toml.go
│ │ │ ├── tomltree_create.go
│ │ │ └── tomltree_write.go
│ │ ├── pkg/
│ │ │ └── errors/
│ │ │ ├── .gitignore
│ │ │ ├── .travis.yml
│ │ │ ├── LICENSE
│ │ │ ├── README.md
│ │ │ ├── appveyor.yml
│ │ │ ├── errors.go
│ │ │ └── stack.go
│ │ ├── spf13/
│ │ │ ├── afero/
│ │ │ │ ├── .travis.yml
│ │ │ │ ├── LICENSE.txt
│ │ │ │ ├── README.md
│ │ │ │ ├── afero.go
│ │ │ │ ├── appveyor.yml
│ │ │ │ ├── basepath.go
│ │ │ │ ├── cacheOnReadFs.go
│ │ │ │ ├── const_bsds.go
│ │ │ │ ├── const_win_unix.go
│ │ │ │ ├── copyOnWriteFs.go
│ │ │ │ ├── go.mod
│ │ │ │ ├── httpFs.go
│ │ │ │ ├── ioutil.go
│ │ │ │ ├── lstater.go
│ │ │ │ ├── match.go
│ │ │ │ ├── mem/
│ │ │ │ │ ├── dir.go
│ │ │ │ │ ├── dirmap.go
│ │ │ │ │ └── file.go
│ │ │ │ ├── memmap.go
│ │ │ │ ├── os.go
│ │ │ │ ├── path.go
│ │ │ │ ├── readonlyfs.go
│ │ │ │ ├── regexpfs.go
│ │ │ │ ├── unionFile.go
│ │ │ │ └── util.go
│ │ │ ├── cast/
│ │ │ │ ├── .gitignore
│ │ │ │ ├── .travis.yml
│ │ │ │ ├── LICENSE
│ │ │ │ ├── Makefile
│ │ │ │ ├── README.md
│ │ │ │ ├── cast.go
│ │ │ │ ├── caste.go
│ │ │ │ ├── go.mod
│ │ │ │ └── go.sum
│ │ │ ├── jwalterweatherman/
│ │ │ │ ├── .gitignore
│ │ │ │ ├── LICENSE
│ │ │ │ ├── README.md
│ │ │ │ ├── default_notepad.go
│ │ │ │ ├── go.mod
│ │ │ │ ├── log_counter.go
│ │ │ │ └── notepad.go
│ │ │ └── pflag/
│ │ │ ├── .gitignore
│ │ │ ├── .travis.yml
│ │ │ ├── LICENSE
│ │ │ ├── README.md
│ │ │ ├── bool.go
│ │ │ ├── bool_slice.go
│ │ │ ├── bytes.go
│ │ │ ├── count.go
│ │ │ ├── duration.go
│ │ │ ├── duration_slice.go
│ │ │ ├── flag.go
│ │ │ ├── float32.go
│ │ │ ├── float64.go
│ │ │ ├── golangflag.go
│ │ │ ├── int.go
│ │ │ ├── int16.go
│ │ │ ├── int32.go
│ │ │ ├── int64.go
│ │ │ ├── int8.go
│ │ │ ├── int_slice.go
│ │ │ ├── ip.go
│ │ │ ├── ip_slice.go
│ │ │ ├── ipmask.go
│ │ │ ├── ipnet.go
│ │ │ ├── string.go
│ │ │ ├── string_array.go
│ │ │ ├── string_slice.go
│ │ │ ├── string_to_int.go
│ │ │ ├── string_to_string.go
│ │ │ ├── uint.go
│ │ │ ├── uint16.go
│ │ │ ├── uint32.go
│ │ │ ├── uint64.go
│ │ │ ├── uint8.go
│ │ │ └── uint_slice.go
│ │ ├── tendermint/
│ │ │ └── tendermint/
│ │ │ ├── LICENSE
│ │ │ ├── abci/
│ │ │ │ └── types/
│ │ │ │ ├── application.go
│ │ │ │ ├── messages.go
│ │ │ │ ├── pubkey.go
│ │ │ │ ├── result.go
│ │ │ │ ├── types.pb.go
│ │ │ │ ├── types.proto
│ │ │ │ └── util.go
│ │ │ ├── crypto/
│ │ │ │ ├── CHANGELOG.md
│ │ │ │ ├── README.md
│ │ │ │ ├── crypto.go
│ │ │ │ ├── doc.go
│ │ │ │ ├── ed25519/
│ │ │ │ │ └── ed25519.go
│ │ │ │ ├── encoding/
│ │ │ │ │ └── amino/
│ │ │ │ │ └── amino.go
│ │ │ │ ├── hash.go
│ │ │ │ ├── merkle/
│ │ │ │ │ ├── README.md
│ │ │ │ │ ├── codec.go
│ │ │ │ │ ├── compile.sh
│ │ │ │ │ ├── doc.go
│ │ │ │ │ ├── hash.go
│ │ │ │ │ ├── merkle.pb.go
│ │ │ │ │ ├── merkle.proto
│ │ │ │ │ ├── proof.go
│ │ │ │ │ ├── proof_key_path.go
│ │ │ │ │ ├── proof_simple_value.go
│ │ │ │ │ ├── result.go
│ │ │ │ │ ├── simple_map.go
│ │ │ │ │ ├── simple_proof.go
│ │ │ │ │ ├── simple_tree.go
│ │ │ │ │ └── types.go
│ │ │ │ ├── multisig/
│ │ │ │ │ ├── bitarray/
│ │ │ │ │ │ └── compact_bit_array.go
│ │ │ │ │ ├── codec.go
│ │ │ │ │ ├── multisignature.go
│ │ │ │ │ └── threshold_pubkey.go
│ │ │ │ ├── random.go
│ │ │ │ ├── secp256k1/
│ │ │ │ │ ├── internal/
│ │ │ │ │ │ └── secp256k1/
│ │ │ │ │ │ ├── .gitignore
│ │ │ │ │ │ ├── LICENSE
│ │ │ │ │ │ ├── README.md
│ │ │ │ │ │ ├── curve.go
│ │ │ │ │ │ ├── ext.h
│ │ │ │ │ │ ├── panic_cb.go
│ │ │ │ │ │ └── secp256.go
│ │ │ │ │ ├── secp256k1.go
│ │ │ │ │ ├── secp256k1_cgo.go
│ │ │ │ │ └── secp256k1_nocgo.go
│ │ │ │ ├── tmhash/
│ │ │ │ │ └── hash.go
│ │ │ │ └── version.go
│ │ │ ├── libs/
│ │ │ │ ├── common/
│ │ │ │ │ ├── LICENSE
│ │ │ │ │ ├── async.go
│ │ │ │ │ ├── bit_array.go
│ │ │ │ │ ├── bytes.go
│ │ │ │ │ ├── byteslice.go
│ │ │ │ │ ├── cmap.go
│ │ │ │ │ ├── errors.go
│ │ │ │ │ ├── int.go
│ │ │ │ │ ├── kvpair.go
│ │ │ │ │ ├── math.go
│ │ │ │ │ ├── net.go
│ │ │ │ │ ├── nil.go
│ │ │ │ │ ├── os.go
│ │ │ │ │ ├── random.go
│ │ │ │ │ ├── result.go
│ │ │ │ │ ├── service.go
│ │ │ │ │ ├── string.go
│ │ │ │ │ ├── tempfile.go
│ │ │ │ │ ├── throttle_timer.go
│ │ │ │ │ ├── types.pb.go
│ │ │ │ │ └── types.proto
│ │ │ │ ├── log/
│ │ │ │ │ ├── filter.go
│ │ │ │ │ ├── logger.go
│ │ │ │ │ ├── nop_logger.go
│ │ │ │ │ ├── testing_logger.go
│ │ │ │ │ ├── tm_json_logger.go
│ │ │ │ │ ├── tm_logger.go
│ │ │ │ │ ├── tmfmt_logger.go
│ │ │ │ │ └── tracing_logger.go
│ │ │ │ └── pubsub/
│ │ │ │ ├── pubsub.go
│ │ │ │ ├── query/
│ │ │ │ │ ├── Makefile
│ │ │ │ │ ├── empty.go
│ │ │ │ │ ├── query.go
│ │ │ │ │ ├── query.peg
│ │ │ │ │ └── query.peg.go
│ │ │ │ └── subscription.go
│ │ │ ├── types/
│ │ │ │ ├── block.go
│ │ │ │ ├── block_meta.go
│ │ │ │ ├── canonical.go
│ │ │ │ ├── codec.go
│ │ │ │ ├── encoding_helper.go
│ │ │ │ ├── errors.go
│ │ │ │ ├── event_bus.go
│ │ │ │ ├── events.go
│ │ │ │ ├── evidence.go
│ │ │ │ ├── genesis.go
│ │ │ │ ├── keys.go
│ │ │ │ ├── params.go
│ │ │ │ ├── part_set.go
│ │ │ │ ├── priv_validator.go
│ │ │ │ ├── proposal.go
│ │ │ │ ├── protobuf.go
│ │ │ │ ├── results.go
│ │ │ │ ├── signable.go
│ │ │ │ ├── signed_msg_type.go
│ │ │ │ ├── test_util.go
│ │ │ │ ├── time/
│ │ │ │ │ └── time.go
│ │ │ │ ├── tx.go
│ │ │ │ ├── validation.go
│ │ │ │ ├── validator.go
│ │ │ │ ├── validator_set.go
│ │ │ │ ├── vote.go
│ │ │ │ └── vote_set.go
│ │ │ └── version/
│ │ │ └── version.go
│ │ └── tmthrgd/
│ │ └── go-hex/
│ │ ├── .travis.yml
│ │ ├── LICENSE
│ │ ├── README.md
│ │ ├── asm_gen.go
│ │ ├── hex.go
│ │ ├── hex_amd64.go
│ │ ├── hex_decode_amd64.s
│ │ ├── hex_encode_amd64.s
│ │ └── hex_other.go
│ ├── go.uber.org/
│ │ ├── atomic/
│ │ │ ├── .codecov.yml
│ │ │ ├── .gitignore
│ │ │ ├── .travis.yml
│ │ │ ├── LICENSE.txt
│ │ │ ├── Makefile
│ │ │ ├── README.md
│ │ │ ├── atomic.go
│ │ │ ├── error.go
│ │ │ ├── glide.yaml
│ │ │ └── string.go
│ │ └── multierr/
│ │ ├── .codecov.yml
│ │ ├── .gitignore
│ │ ├── .travis.yml
│ │ ├── CHANGELOG.md
│ │ ├── LICENSE.txt
│ │ ├── Makefile
│ │ ├── README.md
│ │ ├── error.go
│ │ └── glide.yaml
│ ├── golang.org/
│ │ └── x/
│ │ ├── crypto/
│ │ │ ├── AUTHORS
│ │ │ ├── CONTRIBUTORS
│ │ │ ├── LICENSE
│ │ │ ├── PATENTS
│ │ │ ├── ed25519/
│ │ │ │ ├── ed25519.go
│ │ │ │ ├── ed25519_go113.go
│ │ │ │ └── internal/
│ │ │ │ └── edwards25519/
│ │ │ │ ├── const.go
│ │ │ │ └── edwards25519.go
│ │ │ ├── pbkdf2/
│ │ │ │ └── pbkdf2.go
│ │ │ ├── ripemd160/
│ │ │ │ ├── ripemd160.go
│ │ │ │ └── ripemd160block.go
│ │ │ ├── scrypt/
│ │ │ │ └── scrypt.go
│ │ │ └── sha3/
│ │ │ ├── doc.go
│ │ │ ├── hashes.go
│ │ │ ├── hashes_generic.go
│ │ │ ├── keccakf.go
│ │ │ ├── keccakf_amd64.go
│ │ │ ├── keccakf_amd64.s
│ │ │ ├── register.go
│ │ │ ├── sha3.go
│ │ │ ├── sha3_s390x.go
│ │ │ ├── sha3_s390x.s
│ │ │ ├── shake.go
│ │ │ ├── shake_generic.go
│ │ │ ├── xor.go
│ │ │ ├── xor_generic.go
│ │ │ └── xor_unaligned.go
│ │ ├── net/
│ │ │ ├── AUTHORS
│ │ │ ├── CONTRIBUTORS
│ │ │ ├── LICENSE
│ │ │ ├── PATENTS
│ │ │ ├── context/
│ │ │ │ ├── context.go
│ │ │ │ ├── go17.go
│ │ │ │ ├── go19.go
│ │ │ │ ├── pre_go17.go
│ │ │ │ └── pre_go19.go
│ │ │ ├── html/
│ │ │ │ ├── atom/
│ │ │ │ │ ├── atom.go
│ │ │ │ │ ├── gen.go
│ │ │ │ │ └── table.go
│ │ │ │ ├── charset/
│ │ │ │ │ └── charset.go
│ │ │ │ ├── const.go
│ │ │ │ ├── doc.go
│ │ │ │ ├── doctype.go
│ │ │ │ ├── entity.go
│ │ │ │ ├── escape.go
│ │ │ │ ├── foreign.go
│ │ │ │ ├── node.go
│ │ │ │ ├── parse.go
│ │ │ │ ├── render.go
│ │ │ │ └── token.go
│ │ │ ├── http/
│ │ │ │ └── httpguts/
│ │ │ │ ├── guts.go
│ │ │ │ └── httplex.go
│ │ │ ├── http2/
│ │ │ │ ├── .gitignore
│ │ │ │ ├── Dockerfile
│ │ │ │ ├── Makefile
│ │ │ │ ├── README
│ │ │ │ ├── ciphers.go
│ │ │ │ ├── client_conn_pool.go
│ │ │ │ ├── databuffer.go
│ │ │ │ ├── errors.go
│ │ │ │ ├── flow.go
│ │ │ │ ├── frame.go
│ │ │ │ ├── go111.go
│ │ │ │ ├── gotrack.go
│ │ │ │ ├── headermap.go
│ │ │ │ ├── hpack/
│ │ │ │ │ ├── encode.go
│ │ │ │ │ ├── hpack.go
│ │ │ │ │ ├── huffman.go
│ │ │ │ │ └── tables.go
│ │ │ │ ├── http2.go
│ │ │ │ ├── not_go111.go
│ │ │ │ ├── pipe.go
│ │ │ │ ├── server.go
│ │ │ │ ├── transport.go
│ │ │ │ ├── write.go
│ │ │ │ ├── writesched.go
│ │ │ │ ├── writesched_priority.go
│ │ │ │ └── writesched_random.go
│ │ │ ├── idna/
│ │ │ │ ├── idna10.0.0.go
│ │ │ │ ├── idna9.0.0.go
│ │ │ │ ├── punycode.go
│ │ │ │ ├── tables10.0.0.go
│ │ │ │ ├── tables11.0.0.go
│ │ │ │ ├── tables9.0.0.go
│ │ │ │ ├── trie.go
│ │ │ │ └── trieval.go
│ │ │ ├── internal/
│ │ │ │ └── timeseries/
│ │ │ │ └── timeseries.go
│ │ │ └── trace/
│ │ │ ├── events.go
│ │ │ ├── histogram.go
│ │ │ └── trace.go
│ │ ├── sys/
│ │ │ ├── AUTHORS
│ │ │ ├── CONTRIBUTORS
│ │ │ ├── LICENSE
│ │ │ ├── PATENTS
│ │ │ ├── cpu/
│ │ │ │ ├── asm_aix_ppc64.s
│ │ │ │ ├── byteorder.go
│ │ │ │ ├── cpu.go
│ │ │ │ ├── cpu_aix_ppc64.go
│ │ │ │ ├── cpu_arm.go
│ │ │ │ ├── cpu_gc_s390x.go
│ │ │ │ ├── cpu_gc_x86.go
│ │ │ │ ├── cpu_gccgo.c
│ │ │ │ ├── cpu_gccgo.go
│ │ │ │ ├── cpu_gccgo_s390x.go
│ │ │ │ ├── cpu_linux.go
│ │ │ │ ├── cpu_linux_arm.go
│ │ │ │ ├── cpu_linux_arm64.go
│ │ │ │ ├── cpu_linux_ppc64x.go
│ │ │ │ ├── cpu_linux_s390x.go
│ │ │ │ ├── cpu_mips64x.go
│ │ │ │ ├── cpu_mipsx.go
│ │ │ │ ├── cpu_other_arm64.go
│ │ │ │ ├── cpu_s390x.s
│ │ │ │ ├── cpu_wasm.go
│ │ │ │ ├── cpu_x86.go
│ │ │ │ ├── cpu_x86.s
│ │ │ │ └── syscall_aix_ppc64_gc.go
│ │ │ ├── unix/
│ │ │ │ ├── .gitignore
│ │ │ │ ├── README.md
│ │ │ │ ├── affinity_linux.go
│ │ │ │ ├── aliases.go
│ │ │ │ ├── asm_aix_ppc64.s
│ │ │ │ ├── asm_darwin_386.s
│ │ │ │ ├── asm_darwin_amd64.s
│ │ │ │ ├── asm_darwin_arm.s
│ │ │ │ ├── asm_darwin_arm64.s
│ │ │ │ ├── asm_dragonfly_amd64.s
│ │ │ │ ├── asm_freebsd_386.s
│ │ │ │ ├── asm_freebsd_amd64.s
│ │ │ │ ├── asm_freebsd_arm.s
│ │ │ │ ├── asm_freebsd_arm64.s
│ │ │ │ ├── asm_linux_386.s
│ │ │ │ ├── asm_linux_amd64.s
│ │ │ │ ├── asm_linux_arm.s
│ │ │ │ ├── asm_linux_arm64.s
│ │ │ │ ├── asm_linux_mips64x.s
│ │ │ │ ├── asm_linux_mipsx.s
│ │ │ │ ├── asm_linux_ppc64x.s
│ │ │ │ ├── asm_linux_riscv64.s
│ │ │ │ ├── asm_linux_s390x.s
│ │ │ │ ├── asm_netbsd_386.s
│ │ │ │ ├── asm_netbsd_amd64.s
│ │ │ │ ├── asm_netbsd_arm.s
│ │ │ │ ├── asm_netbsd_arm64.s
│ │ │ │ ├── asm_openbsd_386.s
│ │ │ │ ├── asm_openbsd_amd64.s
│ │ │ │ ├── asm_openbsd_arm.s
│ │ │ │ ├── asm_openbsd_arm64.s
│ │ │ │ ├── asm_solaris_amd64.s
│ │ │ │ ├── bluetooth_linux.go
│ │ │ │ ├── cap_freebsd.go
│ │ │ │ ├── constants.go
│ │ │ │ ├── dev_aix_ppc.go
│ │ │ │ ├── dev_aix_ppc64.go
│ │ │ │ ├── dev_darwin.go
│ │ │ │ ├── dev_dragonfly.go
│ │ │ │ ├── dev_freebsd.go
│ │ │ │ ├── dev_linux.go
│ │ │ │ ├── dev_netbsd.go
│ │ │ │ ├── dev_openbsd.go
│ │ │ │ ├── dirent.go
│ │ │ │ ├── endian_big.go
│ │ │ │ ├── endian_little.go
│ │ │ │ ├── env_unix.go
│ │ │ │ ├── errors_freebsd_386.go
│ │ │ │ ├── errors_freebsd_amd64.go
│ │ │ │ ├── errors_freebsd_arm.go
│ │ │ │ ├── fcntl.go
│ │ │ │ ├── fcntl_darwin.go
│ │ │ │ ├── fcntl_linux_32bit.go
│ │ │ │ ├── gccgo.go
│ │ │ │ ├── gccgo_c.c
│ │ │ │ ├── gccgo_linux_amd64.go
│ │ │ │ ├── ioctl.go
│ │ │ │ ├── mkall.sh
│ │ │ │ ├── mkasm_darwin.go
│ │ │ │ ├── mkerrors.sh
│ │ │ │ ├── mkpost.go
│ │ │ │ ├── mksyscall.go
│ │ │ │ ├── mksyscall_aix_ppc.go
│ │ │ │ ├── mksyscall_aix_ppc64.go
│ │ │ │ ├── mksyscall_solaris.go
│ │ │ │ ├── mksysctl_openbsd.go
│ │ │ │ ├── mksysnum.go
│ │ │ │ ├── pagesize_unix.go
│ │ │ │ ├── pledge_openbsd.go
│ │ │ │ ├── race.go
│ │ │ │ ├── race0.go
│ │ │ │ ├── readdirent_getdents.go
│ │ │ │ ├── readdirent_getdirentries.go
│ │ │ │ ├── sockcmsg_dragonfly.go
│ │ │ │ ├── sockcmsg_linux.go
│ │ │ │ ├── sockcmsg_unix.go
│ │ │ │ ├── sockcmsg_unix_other.go
│ │ │ │ ├── str.go
│ │ │ │ ├── syscall.go
│ │ │ │ ├── syscall_aix.go
│ │ │ │ ├── syscall_aix_ppc.go
│ │ │ │ ├── syscall_aix_ppc64.go
│ │ │ │ ├── syscall_bsd.go
│ │ │ │ ├── syscall_darwin.1_12.go
│ │ │ │ ├── syscall_darwin.1_13.go
│ │ │ │ ├── syscall_darwin.go
│ │ │ │ ├── syscall_darwin_386.1_11.go
│ │ │ │ ├── syscall_darwin_386.go
│ │ │ │ ├── syscall_darwin_amd64.1_11.go
│ │ │ │ ├── syscall_darwin_amd64.go
│ │ │ │ ├── syscall_darwin_arm.1_11.go
│ │ │ │ ├── syscall_darwin_arm.go
│ │ │ │ ├── syscall_darwin_arm64.1_11.go
│ │ │ │ ├── syscall_darwin_arm64.go
│ │ │ │ ├── syscall_darwin_libSystem.go
│ │ │ │ ├── syscall_dragonfly.go
│ │ │ │ ├── syscall_dragonfly_amd64.go
│ │ │ │ ├── syscall_freebsd.go
│ │ │ │ ├── syscall_freebsd_386.go
│ │ │ │ ├── syscall_freebsd_amd64.go
│ │ │ │ ├── syscall_freebsd_arm.go
│ │ │ │ ├── syscall_freebsd_arm64.go
│ │ │ │ ├── syscall_linux.go
│ │ │ │ ├── syscall_linux_386.go
│ │ │ │ ├── syscall_linux_amd64.go
│ │ │ │ ├── syscall_linux_amd64_gc.go
│ │ │ │ ├── syscall_linux_arm.go
│ │ │ │ ├── syscall_linux_arm64.go
│ │ │ │ ├── syscall_linux_gc.go
│ │ │ │ ├── syscall_linux_gc_386.go
│ │ │ │ ├── syscall_linux_gccgo_386.go
│ │ │ │ ├── syscall_linux_gccgo_arm.go
│ │ │ │ ├── syscall_linux_mips64x.go
│ │ │ │ ├── syscall_linux_mipsx.go
│ │ │ │ ├── syscall_linux_ppc64x.go
│ │ │ │ ├── syscall_linux_riscv64.go
│ │ │ │ ├── syscall_linux_s390x.go
│ │ │ │ ├── syscall_linux_sparc64.go
│ │ │ │ ├── syscall_netbsd.go
│ │ │ │ ├── syscall_netbsd_386.go
│ │ │ │ ├── syscall_netbsd_amd64.go
│ │ │ │ ├── syscall_netbsd_arm.go
│ │ │ │ ├── syscall_netbsd_arm64.go
│ │ │ │ ├── syscall_openbsd.go
│ │ │ │ ├── syscall_openbsd_386.go
│ │ │ │ ├── syscall_openbsd_amd64.go
│ │ │ │ ├── syscall_openbsd_arm.go
│ │ │ │ ├── syscall_openbsd_arm64.go
│ │ │ │ ├── syscall_solaris.go
│ │ │ │ ├── syscall_solaris_amd64.go
│ │ │ │ ├── syscall_unix.go
│ │ │ │ ├── syscall_unix_gc.go
│ │ │ │ ├── syscall_unix_gc_ppc64x.go
│ │ │ │ ├── timestruct.go
│ │ │ │ ├── types_aix.go
│ │ │ │ ├── types_darwin.go
│ │ │ │ ├── types_dragonfly.go
│ │ │ │ ├── types_freebsd.go
│ │ │ │ ├── types_netbsd.go
│ │ │ │ ├── types_openbsd.go
│ │ │ │ ├── types_solaris.go
│ │ │ │ ├── unveil_openbsd.go
│ │ │ │ ├── xattr_bsd.go
│ │ │ │ ├── zerrors_aix_ppc.go
│ │ │ │ ├── zerrors_aix_ppc64.go
│ │ │ │ ├── zerrors_darwin_386.go
│ │ │ │ ├── zerrors_darwin_amd64.go
│ │ │ │ ├── zerrors_darwin_arm.go
│ │ │ │ ├── zerrors_darwin_arm64.go
│ │ │ │ ├── zerrors_dragonfly_amd64.go
│ │ │ │ ├── zerrors_freebsd_386.go
│ │ │ │ ├── zerrors_freebsd_amd64.go
│ │ │ │ ├── zerrors_freebsd_arm.go
│ │ │ │ ├── zerrors_freebsd_arm64.go
│ │ │ │ ├── zerrors_linux_386.go
│ │ │ │ ├── zerrors_linux_amd64.go
│ │ │ │ ├── zerrors_linux_arm.go
│ │ │ │ ├── zerrors_linux_arm64.go
│ │ │ │ ├── zerrors_linux_mips.go
│ │ │ │ ├── zerrors_linux_mips64.go
│ │ │ │ ├── zerrors_linux_mips64le.go
│ │ │ │ ├── zerrors_linux_mipsle.go
│ │ │ │ ├── zerrors_linux_ppc64.go
│ │ │ │ ├── zerrors_linux_ppc64le.go
│ │ │ │ ├── zerrors_linux_riscv64.go
│ │ │ │ ├── zerrors_linux_s390x.go
│ │ │ │ ├── zerrors_linux_sparc64.go
│ │ │ │ ├── zerrors_netbsd_386.go
│ │ │ │ ├── zerrors_netbsd_amd64.go
│ │ │ │ ├── zerrors_netbsd_arm.go
│ │ │ │ ├── zerrors_netbsd_arm64.go
│ │ │ │ ├── zerrors_openbsd_386.go
│ │ │ │ ├── zerrors_openbsd_amd64.go
│ │ │ │ ├── zerrors_openbsd_arm.go
│ │ │ │ ├── zerrors_openbsd_arm64.go
│ │ │ │ ├── zerrors_solaris_amd64.go
│ │ │ │ ├── zptrace386_linux.go
│ │ │ │ ├── zptracearm_linux.go
│ │ │ │ ├── zptracemips_linux.go
│ │ │ │ ├── zptracemipsle_linux.go
│ │ │ │ ├── zsyscall_aix_ppc.go
│ │ │ │ ├── zsyscall_aix_ppc64.go
│ │ │ │ ├── zsyscall_aix_ppc64_gc.go
│ │ │ │ ├── zsyscall_aix_ppc64_gccgo.go
│ │ │ │ ├── zsyscall_darwin_386.1_11.go
│ │ │ │ ├── zsyscall_darwin_386.1_13.go
│ │ │ │ ├── zsyscall_darwin_386.1_13.s
│ │ │ │ ├── zsyscall_darwin_386.go
│ │ │ │ ├── zsyscall_darwin_386.s
│ │ │ │ ├── zsyscall_darwin_amd64.1_11.go
│ │ │ │ ├── zsyscall_darwin_amd64.1_13.go
│ │ │ │ ├── zsyscall_darwin_amd64.1_13.s
│ │ │ │ ├── zsyscall_darwin_amd64.go
│ │ │ │ ├── zsyscall_darwin_amd64.s
│ │ │ │ ├── zsyscall_darwin_arm.1_11.go
│ │ │ │ ├── zsyscall_darwin_arm.1_13.go
│ │ │ │ ├── zsyscall_darwin_arm.1_13.s
│ │ │ │ ├── zsyscall_darwin_arm.go
│ │ │ │ ├── zsyscall_darwin_arm.s
│ │ │ │ ├── zsyscall_darwin_arm64.1_11.go
│ │ │ │ ├── zsyscall_darwin_arm64.1_13.go
│ │ │ │ ├── zsyscall_darwin_arm64.1_13.s
│ │ │ │ ├── zsyscall_darwin_arm64.go
│ │ │ │ ├── zsyscall_darwin_arm64.s
│ │ │ │ ├── zsyscall_dragonfly_amd64.go
│ │ │ │ ├── zsyscall_freebsd_386.go
│ │ │ │ ├── zsyscall_freebsd_amd64.go
│ │ │ │ ├── zsyscall_freebsd_arm.go
│ │ │ │ ├── zsyscall_freebsd_arm64.go
│ │ │ │ ├── zsyscall_linux_386.go
│ │ │ │ ├── zsyscall_linux_amd64.go
│ │ │ │ ├── zsyscall_linux_arm.go
│ │ │ │ ├── zsyscall_linux_arm64.go
│ │ │ │ ├── zsyscall_linux_mips.go
│ │ │ │ ├── zsyscall_linux_mips64.go
│ │ │ │ ├── zsyscall_linux_mips64le.go
│ │ │ │ ├── zsyscall_linux_mipsle.go
│ │ │ │ ├── zsyscall_linux_ppc64.go
│ │ │ │ ├── zsyscall_linux_ppc64le.go
│ │ │ │ ├── zsyscall_linux_riscv64.go
│ │ │ │ ├── zsyscall_linux_s390x.go
│ │ │ │ ├── zsyscall_linux_sparc64.go
│ │ │ │ ├── zsyscall_netbsd_386.go
│ │ │ │ ├── zsyscall_netbsd_amd64.go
│ │ │ │ ├── zsyscall_netbsd_arm.go
│ │ │ │ ├── zsyscall_netbsd_arm64.go
│ │ │ │ ├── zsyscall_openbsd_386.go
│ │ │ │ ├── zsyscall_openbsd_amd64.go
│ │ │ │ ├── zsyscall_openbsd_arm.go
│ │ │ │ ├── zsyscall_openbsd_arm64.go
│ │ │ │ ├── zsyscall_solaris_amd64.go
│ │ │ │ ├── zsysctl_openbsd_386.go
│ │ │ │ ├── zsysctl_openbsd_amd64.go
│ │ │ │ ├── zsysctl_openbsd_arm.go
│ │ │ │ ├── zsysctl_openbsd_arm64.go
│ │ │ │ ├── zsysnum_darwin_386.go
│ │ │ │ ├── zsysnum_darwin_amd64.go
│ │ │ │ ├── zsysnum_darwin_arm.go
│ │ │ │ ├── zsysnum_darwin_arm64.go
│ │ │ │ ├── zsysnum_dragonfly_amd64.go
│ │ │ │ ├── zsysnum_freebsd_386.go
│ │ │ │ ├── zsysnum_freebsd_amd64.go
│ │ │ │ ├── zsysnum_freebsd_arm.go
│ │ │ │ ├── zsysnum_freebsd_arm64.go
│ │ │ │ ├── zsysnum_linux_386.go
│ │ │ │ ├── zsysnum_linux_amd64.go
│ │ │ │ ├── zsysnum_linux_arm.go
│ │ │ │ ├── zsysnum_linux_arm64.go
│ │ │ │ ├── zsysnum_linux_mips.go
│ │ │ │ ├── zsysnum_linux_mips64.go
│ │ │ │ ├── zsysnum_linux_mips64le.go
│ │ │ │ ├── zsysnum_linux_mipsle.go
│ │ │ │ ├── zsysnum_linux_ppc64.go
│ │ │ │ ├── zsysnum_linux_ppc64le.go
│ │ │ │ ├── zsysnum_linux_riscv64.go
│ │ │ │ ├── zsysnum_linux_s390x.go
│ │ │ │ ├── zsysnum_linux_sparc64.go
│ │ │ │ ├── zsysnum_netbsd_386.go
│ │ │ │ ├── zsysnum_netbsd_amd64.go
│ │ │ │ ├── zsysnum_netbsd_arm.go
│ │ │ │ ├── zsysnum_netbsd_arm64.go
│ │ │ │ ├── zsysnum_openbsd_386.go
│ │ │ │ ├── zsysnum_openbsd_amd64.go
│ │ │ │ ├── zsysnum_openbsd_arm.go
│ │ │ │ ├── zsysnum_openbsd_arm64.go
│ │ │ │ ├── ztypes_aix_ppc.go
│ │ │ │ ├── ztypes_aix_ppc64.go
│ │ │ │ ├── ztypes_darwin_386.go
│ │ │ │ ├── ztypes_darwin_amd64.go
│ │ │ │ ├── ztypes_darwin_arm.go
│ │ │ │ ├── ztypes_darwin_arm64.go
│ │ │ │ ├── ztypes_dragonfly_amd64.go
│ │ │ │ ├── ztypes_freebsd_386.go
│ │ │ │ ├── ztypes_freebsd_amd64.go
│ │ │ │ ├── ztypes_freebsd_arm.go
│ │ │ │ ├── ztypes_freebsd_arm64.go
│ │ │ │ ├── ztypes_linux_386.go
│ │ │ │ ├── ztypes_linux_amd64.go
│ │ │ │ ├── ztypes_linux_arm.go
│ │ │ │ ├── ztypes_linux_arm64.go
│ │ │ │ ├── ztypes_linux_mips.go
│ │ │ │ ├── ztypes_linux_mips64.go
│ │ │ │ ├── ztypes_linux_mips64le.go
│ │ │ │ ├── ztypes_linux_mipsle.go
│ │ │ │ ├── ztypes_linux_ppc64.go
│ │ │ │ ├── ztypes_linux_ppc64le.go
│ │ │ │ ├── ztypes_linux_riscv64.go
│ │ │ │ ├── ztypes_linux_s390x.go
│ │ │ │ ├── ztypes_linux_sparc64.go
│ │ │ │ ├── ztypes_netbsd_386.go
│ │ │ │ ├── ztypes_netbsd_amd64.go
│ │ │ │ ├── ztypes_netbsd_arm.go
│ │ │ │ ├── ztypes_netbsd_arm64.go
│ │ │ │ ├── ztypes_openbsd_386.go
│ │ │ │ ├── ztypes_openbsd_amd64.go
│ │ │ │ ├── ztypes_openbsd_arm.go
│ │ │ │ ├── ztypes_openbsd_arm64.go
│ │ │ │ └── ztypes_solaris_amd64.go
│ │ │ └── windows/
│ │ │ ├── aliases.go
│ │ │ ├── dll_windows.go
│ │ │ ├── env_windows.go
│ │ │ ├── eventlog.go
│ │ │ ├── exec_windows.go
│ │ │ ├── memory_windows.go
│ │ │ ├── mkerrors.bash
│ │ │ ├── mkknownfolderids.bash
│ │ │ ├── mksyscall.go
│ │ │ ├── race.go
│ │ │ ├── race0.go
│ │ │ ├── security_windows.go
│ │ │ ├── service.go
│ │ │ ├── str.go
│ │ │ ├── syscall.go
│ │ │ ├── syscall_windows.go
│ │ │ ├── types_windows.go
│ │ │ ├── types_windows_386.go
│ │ │ ├── types_windows_amd64.go
│ │ │ ├── types_windows_arm.go
│ │ │ ├── zerrors_windows.go
│ │ │ ├── zknownfolderids_windows.go
│ │ │ └── zsyscall_windows.go
│ │ └── text/
│ │ ├── AUTHORS
│ │ ├── CONTRIBUTORS
│ │ ├── LICENSE
│ │ ├── PATENTS
│ │ ├── encoding/
│ │ │ ├── charmap/
│ │ │ │ ├── charmap.go
│ │ │ │ ├── maketables.go
│ │ │ │ └── tables.go
│ │ │ ├── encoding.go
│ │ │ ├── htmlindex/
│ │ │ │ ├── gen.go
│ │ │ │ ├── htmlindex.go
│ │ │ │ ├── map.go
│ │ │ │ └── tables.go
│ │ │ ├── internal/
│ │ │ │ ├── identifier/
│ │ │ │ │ ├── gen.go
│ │ │ │ │ ├── identifier.go
│ │ │ │ │ └── mib.go
│ │ │ │ └── internal.go
│ │ │ ├── japanese/
│ │ │ │ ├── all.go
│ │ │ │ ├── eucjp.go
│ │ │ │ ├── iso2022jp.go
│ │ │ │ ├── maketables.go
│ │ │ │ ├── shiftjis.go
│ │ │ │ └── tables.go
│ │ │ ├── korean/
│ │ │ │ ├── euckr.go
│ │ │ │ ├── maketables.go
│ │ │ │ └── tables.go
│ │ │ ├── simplifiedchinese/
│ │ │ │ ├── all.go
│ │ │ │ ├── gbk.go
│ │ │ │ ├── hzgb2312.go
│ │ │ │ ├── maketables.go
│ │ │ │ └── tables.go
│ │ │ ├── traditionalchinese/
│ │ │ │ ├── big5.go
│ │ │ │ ├── maketables.go
│ │ │ │ └── tables.go
│ │ │ └── unicode/
│ │ │ ├── override.go
│ │ │ └── unicode.go
│ │ ├── internal/
│ │ │ ├── tag/
│ │ │ │ └── tag.go
│ │ │ └── utf8internal/
│ │ │ └── utf8internal.go
│ │ ├── language/
│ │ │ ├── Makefile
│ │ │ ├── common.go
│ │ │ ├── coverage.go
│ │ │ ├── doc.go
│ │ │ ├── gen.go
│ │ │ ├── gen_common.go
│ │ │ ├── gen_index.go
│ │ │ ├── go1_1.go
│ │ │ ├── go1_2.go
│ │ │ ├── index.go
│ │ │ ├── language.go
│ │ │ ├── lookup.go
│ │ │ ├── match.go
│ │ │ ├── parse.go
│ │ │ ├── tables.go
│ │ │ └── tags.go
│ │ ├── runes/
│ │ │ ├── cond.go
│ │ │ └── runes.go
│ │ ├── secure/
│ │ │ └── bidirule/
│ │ │ ├── bidirule.go
│ │ │ ├── bidirule10.0.0.go
│ │ │ └── bidirule9.0.0.go
│ │ ├── transform/
│ │ │ └── transform.go
│ │ └── unicode/
│ │ ├── bidi/
│ │ │ ├── bidi.go
│ │ │ ├── bracket.go
│ │ │ ├── core.go
│ │ │ ├── gen.go
│ │ │ ├── gen_ranges.go
│ │ │ ├── gen_trieval.go
│ │ │ ├── prop.go
│ │ │ ├── tables10.0.0.go
│ │ │ ├── tables9.0.0.go
│ │ │ └── trieval.go
│ │ └── norm/
│ │ ├── composition.go
│ │ ├── forminfo.go
│ │ ├── input.go
│ │ ├── iter.go
│ │ ├── maketables.go
│ │ ├── normalize.go
│ │ ├── readwriter.go
│ │ ├── tables10.0.0.go
│ │ ├── tables9.0.0.go
│ │ ├── transform.go
│ │ ├── trie.go
│ │ └── triegen.go
│ ├── google.golang.org/
│ │ ├── genproto/
│ │ │ ├── LICENSE
│ │ │ └── googleapis/
│ │ │ └── rpc/
│ │ │ └── status/
│ │ │ └── status.pb.go
│ │ └── grpc/
│ │ ├── .travis.yml
│ │ ├── AUTHORS
│ │ ├── CODE-OF-CONDUCT.md
│ │ ├── CONTRIBUTING.md
│ │ ├── GOVERNANCE.md
│ │ ├── LICENSE
│ │ ├── MAINTAINERS.md
│ │ ├── Makefile
│ │ ├── README.md
│ │ ├── backoff.go
│ │ ├── balancer/
│ │ │ ├── balancer.go
│ │ │ ├── base/
│ │ │ │ ├── balancer.go
│ │ │ │ └── base.go
│ │ │ └── roundrobin/
│ │ │ └── roundrobin.go
│ │ ├── balancer.go
│ │ ├── balancer_conn_wrappers.go
│ │ ├── balancer_v1_wrapper.go
│ │ ├── binarylog/
│ │ │ └── grpc_binarylog_v1/
│ │ │ └── binarylog.pb.go
│ │ ├── call.go
│ │ ├── clientconn.go
│ │ ├── codec.go
│ │ ├── codegen.sh
│ │ ├── codes/
│ │ │ ├── code_string.go
│ │ │ └── codes.go
│ │ ├── connectivity/
│ │ │ └── connectivity.go
│ │ ├── credentials/
│ │ │ ├── credentials.go
│ │ │ ├── internal/
│ │ │ │ ├── syscallconn.go
│ │ │ │ └── syscallconn_appengine.go
│ │ │ └── tls13.go
│ │ ├── dialoptions.go
│ │ ├── doc.go
│ │ ├── encoding/
│ │ │ ├── encoding.go
│ │ │ └── proto/
│ │ │ └── proto.go
│ │ ├── go.mod
│ │ ├── go.sum
│ │ ├── grpclog/
│ │ │ ├── grpclog.go
│ │ │ ├── logger.go
│ │ │ └── loggerv2.go
│ │ ├── install_gae.sh
│ │ ├── interceptor.go
│ │ ├── internal/
│ │ │ ├── backoff/
│ │ │ │ └── backoff.go
│ │ │ ├── balancerload/
│ │ │ │ └── load.go
│ │ │ ├── binarylog/
│ │ │ │ ├── binarylog.go
│ │ │ │ ├── binarylog_testutil.go
│ │ │ │ ├── env_config.go
│ │ │ │ ├── method_logger.go
│ │ │ │ ├── regenerate.sh
│ │ │ │ ├── sink.go
│ │ │ │ └── util.go
│ │ │ ├── channelz/
│ │ │ │ ├── funcs.go
│ │ │ │ ├── types.go
│ │ │ │ ├── types_linux.go
│ │ │ │ ├── types_nonlinux.go
│ │ │ │ ├── util_linux.go
│ │ │ │ └── util_nonlinux.go
│ │ │ ├── envconfig/
│ │ │ │ └── envconfig.go
│ │ │ ├── grpcrand/
│ │ │ │ └── grpcrand.go
│ │ │ ├── grpcsync/
│ │ │ │ └── event.go
│ │ │ ├── internal.go
│ │ │ ├── syscall/
│ │ │ │ ├── syscall_linux.go
│ │ │ │ └── syscall_nonlinux.go
│ │ │ └── transport/
│ │ │ ├── bdp_estimator.go
│ │ │ ├── controlbuf.go
│ │ │ ├── defaults.go
│ │ │ ├── flowcontrol.go
│ │ │ ├── handler_server.go
│ │ │ ├── http2_client.go
│ │ │ ├── http2_server.go
│ │ │ ├── http_util.go
│ │ │ ├── log.go
│ │ │ └── transport.go
│ │ ├── keepalive/
│ │ │ └── keepalive.go
│ │ ├── metadata/
│ │ │ └── metadata.go
│ │ ├── naming/
│ │ │ ├── dns_resolver.go
│ │ │ └── naming.go
│ │ ├── peer/
│ │ │ └── peer.go
│ │ ├── picker_wrapper.go
│ │ ├── pickfirst.go
│ │ ├── preloader.go
│ │ ├── proxy.go
│ │ ├── resolver/
│ │ │ ├── dns/
│ │ │ │ └── dns_resolver.go
│ │ │ ├── passthrough/
│ │ │ │ └── passthrough.go
│ │ │ └── resolver.go
│ │ ├── resolver_conn_wrapper.go
│ │ ├── rpc_util.go
│ │ ├── server.go
│ │ ├── service_config.go
│ │ ├── serviceconfig/
│ │ │ └── serviceconfig.go
│ │ ├── stats/
│ │ │ ├── handlers.go
│ │ │ └── stats.go
│ │ ├── status/
│ │ │ └── status.go
│ │ ├── stream.go
│ │ ├── tap/
│ │ │ └── tap.go
│ │ ├── trace.go
│ │ ├── version.go
│ │ └── vet.sh
│ ├── gopkg.in/
│ │ ├── fsnotify.v1/
│ │ │ ├── .editorconfig
│ │ │ ├── .gitignore
│ │ │ ├── .travis.yml
│ │ │ ├── AUTHORS
│ │ │ ├── CHANGELOG.md
│ │ │ ├── CONTRIBUTING.md
│ │ │ ├── LICENSE
│ │ │ ├── README.md
│ │ │ ├── fen.go
│ │ │ ├── fsnotify.go
│ │ │ ├── inotify.go
│ │ │ ├── inotify_poller.go
│ │ │ ├── kqueue.go
│ │ │ ├── open_mode_bsd.go
│ │ │ ├── open_mode_darwin.go
│ │ │ └── windows.go
│ │ ├── tomb.v1/
│ │ │ ├── LICENSE
│ │ │ ├── README.md
│ │ │ └── tomb.go
│ │ └── yaml.v2/
│ │ ├── .travis.yml
│ │ ├── LICENSE
│ │ ├── LICENSE.libyaml
│ │ ├── NOTICE
│ │ ├── README.md
│ │ ├── apic.go
│ │ ├── decode.go
│ │ ├── emitterc.go
│ │ ├── encode.go
│ │ ├── go.mod
│ │ ├── parserc.go
│ │ ├── readerc.go
│ │ ├── resolve.go
│ │ ├── scannerc.go
│ │ ├── sorter.go
│ │ ├── writerc.go
│ │ ├── yaml.go
│ │ ├── yamlh.go
│ │ └── yamlprivateh.go
│ └── modules.txt
├── examples/
│ ├── EVM_Smart_Contracts.md
│ └── first-network-sdk-config.yaml
├── fab3/
│ ├── cmd/
│ │ └── main.go
│ ├── codec.go
│ ├── codec_test.go
│ ├── ethservice.go
│ ├── ethservice_test.go
│ ├── ethservice_types_roundtrip_test.go
│ ├── fab3.go
│ ├── fab3_suite_test.go
│ ├── fab3_test.go
│ ├── go.mod
│ ├── go.sum
│ ├── mocks/
│ │ ├── mockchannelclient.go
│ │ ├── mockethservice.go
│ │ └── mockledgerclient.go
│ ├── netservice.go
│ ├── netservice_test.go
│ └── types/
│ ├── types.go
│ ├── types_suite_test.go
│ └── types_test.go
├── gotools.mk
├── integration/
│ ├── e2e/
│ │ ├── e2e_suite_test.go
│ │ └── e2e_test.go
│ ├── fab3/
│ │ ├── fab3_configuration_test.go
│ │ ├── fab3_suite_test.go
│ │ ├── fab3_test.go
│ │ ├── instructor_contract.js
│ │ ├── voting_contract.js
│ │ ├── web3_e2e_test.js
│ │ └── web3_test.go
│ ├── go.mod
│ ├── go.sum
│ ├── helpers/
│ │ ├── contracts.go
│ │ ├── proxy_config.go
│ │ ├── runners.go
│ │ └── utils.go
│ └── vendor/
│ ├── github.com/
│ │ ├── Azure/
│ │ │ └── go-ansiterm/
│ │ │ ├── LICENSE
│ │ │ ├── README.md
│ │ │ ├── constants.go
│ │ │ ├── context.go
│ │ │ ├── csi_entry_state.go
│ │ │ ├── csi_param_state.go
│ │ │ ├── escape_intermediate_state.go
│ │ │ ├── escape_state.go
│ │ │ ├── event_handler.go
│ │ │ ├── ground_state.go
│ │ │ ├── osc_string_state.go
│ │ │ ├── parser.go
│ │ │ ├── parser_action_helpers.go
│ │ │ ├── parser_actions.go
│ │ │ ├── states.go
│ │ │ ├── utilities.go
│ │ │ └── winterm/
│ │ │ ├── ansi.go
│ │ │ ├── api.go
│ │ │ ├── attr_translation.go
│ │ │ ├── cursor_helpers.go
│ │ │ ├── erase_helpers.go
│ │ │ ├── scroll_helper.go
│ │ │ ├── utilities.go
│ │ │ └── win_event_handler.go
│ │ ├── Microsoft/
│ │ │ └── go-winio/
│ │ │ ├── .gitignore
│ │ │ ├── LICENSE
│ │ │ ├── README.md
│ │ │ ├── backup.go
│ │ │ ├── ea.go
│ │ │ ├── file.go
│ │ │ ├── fileinfo.go
│ │ │ ├── pipe.go
│ │ │ ├── privilege.go
│ │ │ ├── reparse.go
│ │ │ ├── sd.go
│ │ │ ├── syscall.go
│ │ │ └── zsyscall_windows.go
│ │ ├── Nvveen/
│ │ │ └── Gotty/
│ │ │ ├── LICENSE
│ │ │ ├── README
│ │ │ ├── TODO
│ │ │ ├── attributes.go
│ │ │ ├── gotty.go
│ │ │ ├── parser.go
│ │ │ └── types.go
│ │ ├── containerd/
│ │ │ └── continuity/
│ │ │ ├── AUTHORS
│ │ │ ├── LICENSE
│ │ │ └── pathdriver/
│ │ │ └── path_driver.go
│ │ ├── docker/
│ │ │ ├── docker/
│ │ │ │ ├── AUTHORS
│ │ │ │ ├── LICENSE
│ │ │ │ ├── NOTICE
│ │ │ │ ├── api/
│ │ │ │ │ └── types/
│ │ │ │ │ ├── auth.go
│ │ │ │ │ ├── blkiodev/
│ │ │ │ │ │ └── blkio.go
│ │ │ │ │ ├── client.go
│ │ │ │ │ ├── configs.go
│ │ │ │ │ ├── container/
│ │ │ │ │ │ ├── config.go
│ │ │ │ │ │ ├── container_changes.go
│ │ │ │ │ │ ├── container_create.go
│ │ │ │ │ │ ├── container_top.go
│ │ │ │ │ │ ├── container_update.go
│ │ │ │ │ │ ├── container_wait.go
│ │ │ │ │ │ ├── host_config.go
│ │ │ │ │ │ ├── hostconfig_unix.go
│ │ │ │ │ │ ├── hostconfig_windows.go
│ │ │ │ │ │ └── waitcondition.go
│ │ │ │ │ ├── error_response.go
│ │ │ │ │ ├── filters/
│ │ │ │ │ │ └── parse.go
│ │ │ │ │ ├── graph_driver_data.go
│ │ │ │ │ ├── id_response.go
│ │ │ │ │ ├── image_delete_response_item.go
│ │ │ │ │ ├── image_summary.go
│ │ │ │ │ ├── mount/
│ │ │ │ │ │ └── mount.go
│ │ │ │ │ ├── network/
│ │ │ │ │ │ └── network.go
│ │ │ │ │ ├── plugin.go
│ │ │ │ │ ├── plugin_device.go
│ │ │ │ │ ├── plugin_env.go
│ │ │ │ │ ├── plugin_interface_type.go
│ │ │ │ │ ├── plugin_mount.go
│ │ │ │ │ ├── plugin_responses.go
│ │ │ │ │ ├── port.go
│ │ │ │ │ ├── registry/
│ │ │ │ │ │ ├── authenticate.go
│ │ │ │ │ │ └── registry.go
│ │ │ │ │ ├── seccomp.go
│ │ │ │ │ ├── service_update_response.go
│ │ │ │ │ ├── stats.go
│ │ │ │ │ ├── strslice/
│ │ │ │ │ │ └── strslice.go
│ │ │ │ │ ├── swarm/
│ │ │ │ │ │ ├── common.go
│ │ │ │ │ │ ├── config.go
│ │ │ │ │ │ ├── container.go
│ │ │ │ │ │ ├── network.go
│ │ │ │ │ │ ├── node.go
│ │ │ │ │ │ ├── runtime/
│ │ │ │ │ │ │ ├── gen.go
│ │ │ │ │ │ │ ├── plugin.pb.go
│ │ │ │ │ │ │ └── plugin.proto
│ │ │ │ │ │ ├── runtime.go
│ │ │ │ │ │ ├── secret.go
│ │ │ │ │ │ ├── service.go
│ │ │ │ │ │ ├── swarm.go
│ │ │ │ │ │ └── task.go
│ │ │ │ │ ├── types.go
│ │ │ │ │ ├── versions/
│ │ │ │ │ │ ├── README.md
│ │ │ │ │ │ └── compare.go
│ │ │ │ │ └── volume.go
│ │ │ │ ├── errdefs/
│ │ │ │ │ ├── defs.go
│ │ │ │ │ ├── doc.go
│ │ │ │ │ ├── helpers.go
│ │ │ │ │ └── is.go
│ │ │ │ ├── opts/
│ │ │ │ │ ├── address_pools.go
│ │ │ │ │ ├── env.go
│ │ │ │ │ ├── hosts.go
│ │ │ │ │ ├── hosts_unix.go
│ │ │ │ │ ├── hosts_windows.go
│ │ │ │ │ ├── ip.go
│ │ │ │ │ ├── opts.go
│ │ │ │ │ ├── opts_unix.go
│ │ │ │ │ ├── opts_windows.go
│ │ │ │ │ ├── quotedstring.go
│ │ │ │ │ ├── runtime.go
│ │ │ │ │ └── ulimit.go
│ │ │ │ └── pkg/
│ │ │ │ ├── fileutils/
│ │ │ │ │ ├── fileutils.go
│ │ │ │ │ ├── fileutils_darwin.go
│ │ │ │ │ ├── fileutils_unix.go
│ │ │ │ │ └── fileutils_windows.go
│ │ │ │ ├── homedir/
│ │ │ │ │ ├── homedir_linux.go
│ │ │ │ │ ├── homedir_others.go
│ │ │ │ │ ├── homedir_unix.go
│ │ │ │ │ └── homedir_windows.go
│ │ │ │ ├── idtools/
│ │ │ │ │ ├── idtools.go
│ │ │ │ │ ├── idtools_unix.go
│ │ │ │ │ ├── idtools_windows.go
│ │ │ │ │ ├── usergroupadd_linux.go
│ │ │ │ │ ├── usergroupadd_unsupported.go
│ │ │ │ │ └── utils_unix.go
│ │ │ │ ├── ioutils/
│ │ │ │ │ ├── buffer.go
│ │ │ │ │ ├── bytespipe.go
│ │ │ │ │ ├── fswriters.go
│ │ │ │ │ ├── readers.go
│ │ │ │ │ ├── temp_unix.go
│ │ │ │ │ ├── temp_windows.go
│ │ │ │ │ ├── writeflusher.go
│ │ │ │ │ └── writers.go
│ │ │ │ ├── longpath/
│ │ │ │ │ └── longpath.go
│ │ │ │ ├── mount/
│ │ │ │ │ ├── flags.go
│ │ │ │ │ ├── flags_freebsd.go
│ │ │ │ │ ├── flags_linux.go
│ │ │ │ │ ├── flags_unsupported.go
│ │ │ │ │ ├── mount.go
│ │ │ │ │ ├── mounter_freebsd.go
│ │ │ │ │ ├── mounter_linux.go
│ │ │ │ │ ├── mounter_unsupported.go
│ │ │ │ │ ├── mountinfo.go
│ │ │ │ │ ├── mountinfo_freebsd.go
│ │ │ │ │ ├── mountinfo_linux.go
│ │ │ │ │ ├── mountinfo_unsupported.go
│ │ │ │ │ ├── mountinfo_windows.go
│ │ │ │ │ └── sharedsubtree_linux.go
│ │ │ │ ├── pools/
│ │ │ │ │ └── pools.go
│ │ │ │ ├── stdcopy/
│ │ │ │ │ └── stdcopy.go
│ │ │ │ └── system/
│ │ │ │ ├── chtimes.go
│ │ │ │ ├── chtimes_unix.go
│ │ │ │ ├── chtimes_windows.go
│ │ │ │ ├── errors.go
│ │ │ │ ├── exitcode.go
│ │ │ │ ├── filesys.go
│ │ │ │ ├── filesys_windows.go
│ │ │ │ ├── init.go
│ │ │ │ ├── init_unix.go
│ │ │ │ ├── init_windows.go
│ │ │ │ ├── lcow.go
│ │ │ │ ├── lcow_unix.go
│ │ │ │ ├── lcow_windows.go
│ │ │ │ ├── lstat_unix.go
│ │ │ │ ├── lstat_windows.go
│ │ │ │ ├── meminfo.go
│ │ │ │ ├── meminfo_linux.go
│ │ │ │ ├── meminfo_unsupported.go
│ │ │ │ ├── meminfo_windows.go
│ │ │ │ ├── mknod.go
│ │ │ │ ├── mknod_windows.go
│ │ │ │ ├── path.go
│ │ │ │ ├── process_unix.go
│ │ │ │ ├── process_windows.go
│ │ │ │ ├── rm.go
│ │ │ │ ├── stat_darwin.go
│ │ │ │ ├── stat_freebsd.go
│ │ │ │ ├── stat_linux.go
│ │ │ │ ├── stat_openbsd.go
│ │ │ │ ├── stat_solaris.go
│ │ │ │ ├── stat_unix.go
│ │ │ │ ├── stat_windows.go
│ │ │ │ ├── syscall_unix.go
│ │ │ │ ├── syscall_windows.go
│ │ │ │ ├── umask.go
│ │ │ │ ├── umask_windows.go
│ │ │ │ ├── utimes_freebsd.go
│ │ │ │ ├── utimes_linux.go
│ │ │ │ ├── utimes_unsupported.go
│ │ │ │ ├── xattrs_linux.go
│ │ │ │ └── xattrs_unsupported.go
│ │ │ ├── go-connections/
│ │ │ │ ├── LICENSE
│ │ │ │ └── nat/
│ │ │ │ ├── nat.go
│ │ │ │ ├── parse.go
│ │ │ │ └── sort.go
│ │ │ ├── go-units/
│ │ │ │ ├── CONTRIBUTING.md
│ │ │ │ ├── LICENSE
│ │ │ │ ├── MAINTAINERS
│ │ │ │ ├── README.md
│ │ │ │ ├── circle.yml
│ │ │ │ ├── duration.go
│ │ │ │ ├── size.go
│ │ │ │ └── ulimit.go
│ │ │ └── libnetwork/
│ │ │ ├── LICENSE
│ │ │ └── ipamutils/
│ │ │ └── utils.go
│ │ ├── fsnotify/
│ │ │ └── fsnotify/
│ │ │ ├── .editorconfig
│ │ │ ├── .gitignore
│ │ │ ├── .travis.yml
│ │ │ ├── AUTHORS
│ │ │ ├── CHANGELOG.md
│ │ │ ├── CONTRIBUTING.md
│ │ │ ├── LICENSE
│ │ │ ├── README.md
│ │ │ ├── fen.go
│ │ │ ├── fsnotify.go
│ │ │ ├── inotify.go
│ │ │ ├── inotify_poller.go
│ │ │ ├── kqueue.go
│ │ │ ├── open_mode_bsd.go
│ │ │ ├── open_mode_darwin.go
│ │ │ └── windows.go
│ │ ├── gogo/
│ │ │ └── protobuf/
│ │ │ ├── AUTHORS
│ │ │ ├── CONTRIBUTORS
│ │ │ ├── LICENSE
│ │ │ └── proto/
│ │ │ ├── Makefile
│ │ │ ├── clone.go
│ │ │ ├── custom_gogo.go
│ │ │ ├── decode.go
│ │ │ ├── deprecated.go
│ │ │ ├── discard.go
│ │ │ ├── duration.go
│ │ │ ├── duration_gogo.go
│ │ │ ├── encode.go
│ │ │ ├── encode_gogo.go
│ │ │ ├── equal.go
│ │ │ ├── extensions.go
│ │ │ ├── extensions_gogo.go
│ │ │ ├── lib.go
│ │ │ ├── lib_gogo.go
│ │ │ ├── message_set.go
│ │ │ ├── pointer_reflect.go
│ │ │ ├── pointer_reflect_gogo.go
│ │ │ ├── pointer_unsafe.go
│ │ │ ├── pointer_unsafe_gogo.go
│ │ │ ├── properties.go
│ │ │ ├── properties_gogo.go
│ │ │ ├── skip_gogo.go
│ │ │ ├── table_marshal.go
│ │ │ ├── table_marshal_gogo.go
│ │ │ ├── table_merge.go
│ │ │ ├── table_unmarshal.go
│ │ │ ├── table_unmarshal_gogo.go
│ │ │ ├── text.go
│ │ │ ├── text_gogo.go
│ │ │ ├── text_parser.go
│ │ │ ├── timestamp.go
│ │ │ ├── timestamp_gogo.go
│ │ │ ├── wrappers.go
│ │ │ └── wrappers_gogo.go
│ │ ├── golang/
│ │ │ └── protobuf/
│ │ │ ├── AUTHORS
│ │ │ ├── CONTRIBUTORS
│ │ │ ├── LICENSE
│ │ │ ├── proto/
│ │ │ │ ├── clone.go
│ │ │ │ ├── decode.go
│ │ │ │ ├── deprecated.go
│ │ │ │ ├── discard.go
│ │ │ │ ├── encode.go
│ │ │ │ ├── equal.go
│ │ │ │ ├── extensions.go
│ │ │ │ ├── lib.go
│ │ │ │ ├── message_set.go
│ │ │ │ ├── pointer_reflect.go
│ │ │ │ ├── pointer_unsafe.go
│ │ │ │ ├── properties.go
│ │ │ │ ├── table_marshal.go
│ │ │ │ ├── table_merge.go
│ │ │ │ ├── table_unmarshal.go
│ │ │ │ ├── text.go
│ │ │ │ └── text_parser.go
│ │ │ └── ptypes/
│ │ │ ├── any/
│ │ │ │ ├── any.pb.go
│ │ │ │ └── any.proto
│ │ │ ├── any.go
│ │ │ ├── doc.go
│ │ │ ├── duration/
│ │ │ │ ├── duration.pb.go
│ │ │ │ └── duration.proto
│ │ │ ├── duration.go
│ │ │ ├── empty/
│ │ │ │ ├── empty.pb.go
│ │ │ │ └── empty.proto
│ │ │ ├── timestamp/
│ │ │ │ ├── timestamp.pb.go
│ │ │ │ └── timestamp.proto
│ │ │ └── timestamp.go
│ │ ├── hashicorp/
│ │ │ └── hcl/
│ │ │ ├── .gitignore
│ │ │ ├── .travis.yml
│ │ │ ├── LICENSE
│ │ │ ├── Makefile
│ │ │ ├── README.md
│ │ │ ├── appveyor.yml
│ │ │ ├── decoder.go
│ │ │ ├── go.mod
│ │ │ ├── go.sum
│ │ │ ├── hcl/
│ │ │ │ ├── ast/
│ │ │ │ │ ├── ast.go
│ │ │ │ │ └── walk.go
│ │ │ │ ├── parser/
│ │ │ │ │ ├── error.go
│ │ │ │ │ └── parser.go
│ │ │ │ ├── printer/
│ │ │ │ │ ├── nodes.go
│ │ │ │ │ └── printer.go
│ │ │ │ ├── scanner/
│ │ │ │ │ └── scanner.go
│ │ │ │ ├── strconv/
│ │ │ │ │ └── quote.go
│ │ │ │ └── token/
│ │ │ │ ├── position.go
│ │ │ │ └── token.go
│ │ │ ├── hcl.go
│ │ │ ├── json/
│ │ │ │ ├── parser/
│ │ │ │ │ ├── flatten.go
│ │ │ │ │ └── parser.go
│ │ │ │ ├── scanner/
│ │ │ │ │ └── scanner.go
│ │ │ │ └── token/
│ │ │ │ ├── position.go
│ │ │ │ └── token.go
│ │ │ ├── lex.go
│ │ │ └── parse.go
│ │ ├── hpcloud/
│ │ │ └── tail/
│ │ │ ├── .gitignore
│ │ │ ├── .travis.yml
│ │ │ ├── CHANGES.md
│ │ │ ├── Dockerfile
│ │ │ ├── LICENSE.txt
│ │ │ ├── Makefile
│ │ │ ├── README.md
│ │ │ ├── appveyor.yml
│ │ │ ├── ratelimiter/
│ │ │ │ ├── Licence
│ │ │ │ ├── leakybucket.go
│ │ │ │ ├── memory.go
│ │ │ │ └── storage.go
│ │ │ ├── tail.go
│ │ │ ├── tail_posix.go
│ │ │ ├── tail_windows.go
│ │ │ ├── util/
│ │ │ │ └── util.go
│ │ │ ├── watch/
│ │ │ │ ├── filechanges.go
│ │ │ │ ├── inotify.go
│ │ │ │ ├── inotify_tracker.go
│ │ │ │ ├── polling.go
│ │ │ │ └── watch.go
│ │ │ └── winfile/
│ │ │ └── winfile.go
│ │ ├── hyperledger/
│ │ │ ├── fabric/
│ │ │ │ ├── LICENSE
│ │ │ │ ├── bccsp/
│ │ │ │ │ ├── aesopts.go
│ │ │ │ │ ├── bccsp.go
│ │ │ │ │ ├── ecdsaopts.go
│ │ │ │ │ ├── factory/
│ │ │ │ │ │ ├── factory.go
│ │ │ │ │ │ ├── nopkcs11.go
│ │ │ │ │ │ ├── opts.go
│ │ │ │ │ │ ├── pkcs11.go
│ │ │ │ │ │ ├── pkcs11factory.go
│ │ │ │ │ │ ├── pluginfactory.go
│ │ │ │ │ │ └── swfactory.go
│ │ │ │ │ ├── hashopts.go
│ │ │ │ │ ├── idemix/
│ │ │ │ │ │ ├── bccsp.go
│ │ │ │ │ │ ├── bridge/
│ │ │ │ │ │ │ ├── credential.go
│ │ │ │ │ │ │ ├── credrequest.go
│ │ │ │ │ │ │ ├── issuer.go
│ │ │ │ │ │ │ ├── math.go
│ │ │ │ │ │ │ ├── nymsignaturescheme.go
│ │ │ │ │ │ │ ├── rand.go
│ │ │ │ │ │ │ ├── revocation.go
│ │ │ │ │ │ │ ├── signaturescheme.go
│ │ │ │ │ │ │ └── user.go
│ │ │ │ │ │ └── handlers/
│ │ │ │ │ │ ├── cred.go
│ │ │ │ │ │ ├── idemix.go
│ │ │ │ │ │ ├── issuer.go
│ │ │ │ │ │ ├── nym.go
│ │ │ │ │ │ ├── nymsigner.go
│ │ │ │ │ │ ├── revocation.go
│ │ │ │ │ │ ├── signer.go
│ │ │ │ │ │ └── user.go
│ │ │ │ │ ├── idemixerrs.go
│ │ │ │ │ ├── idemixopts.go
│ │ │ │ │ ├── keystore.go
│ │ │ │ │ ├── opts.go
│ │ │ │ │ ├── pkcs11/
│ │ │ │ │ │ ├── conf.go
│ │ │ │ │ │ ├── ecdsa.go
│ │ │ │ │ │ ├── ecdsakey.go
│ │ │ │ │ │ ├── impl.go
│ │ │ │ │ │ └── pkcs11.go
│ │ │ │ │ ├── rsaopts.go
│ │ │ │ │ ├── signer/
│ │ │ │ │ │ └── signer.go
│ │ │ │ │ ├── sw/
│ │ │ │ │ │ ├── aes.go
│ │ │ │ │ │ ├── aeskey.go
│ │ │ │ │ │ ├── conf.go
│ │ │ │ │ │ ├── dummyks.go
│ │ │ │ │ │ ├── ecdsa.go
│ │ │ │ │ │ ├── ecdsakey.go
│ │ │ │ │ │ ├── fileks.go
│ │ │ │ │ │ ├── hash.go
│ │ │ │ │ │ ├── impl.go
│ │ │ │ │ │ ├── inmemoryks.go
│ │ │ │ │ │ ├── internals.go
│ │ │ │ │ │ ├── keyderiv.go
│ │ │ │ │ │ ├── keygen.go
│ │ │ │ │ │ ├── keyimport.go
│ │ │ │ │ │ ├── new.go
│ │ │ │ │ │ ├── rsa.go
│ │ │ │ │ │ └── rsakey.go
│ │ │ │ │ └── utils/
│ │ │ │ │ ├── ecdsa.go
│ │ │ │ │ ├── errs.go
│ │ │ │ │ ├── io.go
│ │ │ │ │ ├── keys.go
│ │ │ │ │ ├── slice.go
│ │ │ │ │ └── x509.go
│ │ │ │ ├── common/
│ │ │ │ │ ├── crypto/
│ │ │ │ │ │ ├── expiration.go
│ │ │ │ │ │ ├── random.go
│ │ │ │ │ │ └── signer.go
│ │ │ │ │ ├── flogging/
│ │ │ │ │ │ ├── core.go
│ │ │ │ │ │ ├── fabenc/
│ │ │ │ │ │ │ ├── color.go
│ │ │ │ │ │ │ ├── encoder.go
│ │ │ │ │ │ │ └── formatter.go
│ │ │ │ │ │ ├── global.go
│ │ │ │ │ │ ├── legacy.go
│ │ │ │ │ │ ├── levels.go
│ │ │ │ │ │ ├── loggerlevels.go
│ │ │ │ │ │ ├── logging.go
│ │ │ │ │ │ └── zap.go
│ │ │ │ │ ├── metadata/
│ │ │ │ │ │ └── metadata.go
│ │ │ │ │ ├── tools/
│ │ │ │ │ │ └── configtxlator/
│ │ │ │ │ │ └── update/
│ │ │ │ │ │ └── update.go
│ │ │ │ │ └── util/
│ │ │ │ │ ├── net.go
│ │ │ │ │ └── utils.go
│ │ │ │ ├── core/
│ │ │ │ │ ├── chaincode/
│ │ │ │ │ │ └── platforms/
│ │ │ │ │ │ ├── ccmetadata/
│ │ │ │ │ │ │ ├── ccmetadata.go
│ │ │ │ │ │ │ ├── targzmetadataprovider.go
│ │ │ │ │ │ │ └── validators.go
│ │ │ │ │ │ └── platforms.go
│ │ │ │ │ ├── config/
│ │ │ │ │ │ └── config.go
│ │ │ │ │ └── container/
│ │ │ │ │ └── util/
│ │ │ │ │ ├── dockerutil.go
│ │ │ │ │ └── writer.go
│ │ │ │ ├── idemix/
│ │ │ │ │ ├── credential.go
│ │ │ │ │ ├── credrequest.go
│ │ │ │ │ ├── idemix.pb.go
│ │ │ │ │ ├── issuerkey.go
│ │ │ │ │ ├── nonrevocation-prover.go
│ │ │ │ │ ├── nonrevocation-verifier.go
│ │ │ │ │ ├── nymsignature.go
│ │ │ │ │ ├── revocation_authority.go
│ │ │ │ │ ├── signature.go
│ │ │ │ │ ├── util.go
│ │ │ │ │ └── weak-bb.go
│ │ │ │ ├── integration/
│ │ │ │ │ ├── helpers/
│ │ │ │ │ │ └── images.go
│ │ │ │ │ ├── nwo/
│ │ │ │ │ │ ├── command.go
│ │ │ │ │ │ ├── commands/
│ │ │ │ │ │ │ ├── configtxgen.go
│ │ │ │ │ │ │ ├── cryptogen.go
│ │ │ │ │ │ │ ├── discover.go
│ │ │ │ │ │ │ └── peer.go
│ │ │ │ │ │ ├── components.go
│ │ │ │ │ │ ├── config.go
│ │ │ │ │ │ ├── configblock.go
│ │ │ │ │ │ ├── configtx_template.go
│ │ │ │ │ │ ├── core_template.go
│ │ │ │ │ │ ├── crypto_template.go
│ │ │ │ │ │ ├── deploy.go
│ │ │ │ │ │ ├── discover.go
│ │ │ │ │ │ ├── fabricconfig/
│ │ │ │ │ │ │ ├── core.go
│ │ │ │ │ │ │ └── orderer.go
│ │ │ │ │ │ ├── network.go
│ │ │ │ │ │ ├── orderer_template.go
│ │ │ │ │ │ ├── solo.yaml
│ │ │ │ │ │ ├── standard_networks.go
│ │ │ │ │ │ └── templates.go
│ │ │ │ │ └── runner/
│ │ │ │ │ ├── couchdb.go
│ │ │ │ │ ├── defaults.go
│ │ │ │ │ ├── kafka.go
│ │ │ │ │ └── zookeeper.go
│ │ │ │ ├── msp/
│ │ │ │ │ ├── cert.go
│ │ │ │ │ ├── configbuilder.go
│ │ │ │ │ ├── factory.go
│ │ │ │ │ ├── idemix_roles.go
│ │ │ │ │ ├── idemixmsp.go
│ │ │ │ │ ├── identities.go
│ │ │ │ │ ├── msp.go
│ │ │ │ │ ├── mspimpl.go
│ │ │ │ │ ├── mspimplsetup.go
│ │ │ │ │ ├── mspimplvalidate.go
│ │ │ │ │ └── mspmgrimpl.go
│ │ │ │ └── protos/
│ │ │ │ ├── common/
│ │ │ │ │ ├── block.go
│ │ │ │ │ ├── collection.pb.go
│ │ │ │ │ ├── collection.proto
│ │ │ │ │ ├── common.go
│ │ │ │ │ ├── common.pb.go
│ │ │ │ │ ├── common.proto
│ │ │ │ │ ├── configtx.go
│ │ │ │ │ ├── configtx.pb.go
│ │ │ │ │ ├── configtx.proto
│ │ │ │ │ ├── configuration.go
│ │ │ │ │ ├── configuration.pb.go
│ │ │ │ │ ├── configuration.proto
│ │ │ │ │ ├── ledger.pb.go
│ │ │ │ │ ├── ledger.proto
│ │ │ │ │ ├── policies.go
│ │ │ │ │ ├── policies.pb.go
│ │ │ │ │ ├── policies.proto
│ │ │ │ │ └── signed_data.go
│ │ │ │ ├── ledger/
│ │ │ │ │ └── rwset/
│ │ │ │ │ ├── kvrwset/
│ │ │ │ │ │ ├── helper.go
│ │ │ │ │ │ ├── kv_rwset.pb.go
│ │ │ │ │ │ └── kv_rwset.proto
│ │ │ │ │ ├── rwset.go
│ │ │ │ │ ├── rwset.pb.go
│ │ │ │ │ └── rwset.proto
│ │ │ │ ├── msp/
│ │ │ │ │ ├── identities.pb.go
│ │ │ │ │ ├── identities.proto
│ │ │ │ │ ├── msp_config.go
│ │ │ │ │ ├── msp_config.pb.go
│ │ │ │ │ ├── msp_config.proto
│ │ │ │ │ ├── msp_principal.go
│ │ │ │ │ ├── msp_principal.pb.go
│ │ │ │ │ └── msp_principal.proto
│ │ │ │ ├── peer/
│ │ │ │ │ ├── admin.pb.go
│ │ │ │ │ ├── admin.proto
│ │ │ │ │ ├── chaincode.go
│ │ │ │ │ ├── chaincode.pb.go
│ │ │ │ │ ├── chaincode.proto
│ │ │ │ │ ├── chaincode_event.pb.go
│ │ │ │ │ ├── chaincode_event.proto
│ │ │ │ │ ├── chaincode_shim.pb.go
│ │ │ │ │ ├── chaincode_shim.proto
│ │ │ │ │ ├── chaincodeunmarshall.go
│ │ │ │ │ ├── configuration.go
│ │ │ │ │ ├── configuration.pb.go
│ │ │ │ │ ├── configuration.proto
│ │ │ │ │ ├── events.pb.go
│ │ │ │ │ ├── events.proto
│ │ │ │ │ ├── peer.pb.go
│ │ │ │ │ ├── peer.proto
│ │ │ │ │ ├── proposal.go
│ │ │ │ │ ├── proposal.pb.go
│ │ │ │ │ ├── proposal.proto
│ │ │ │ │ ├── proposal_response.go
│ │ │ │ │ ├── proposal_response.pb.go
│ │ │ │ │ ├── proposal_response.proto
│ │ │ │ │ ├── query.pb.go
│ │ │ │ │ ├── query.proto
│ │ │ │ │ ├── resources.pb.go
│ │ │ │ │ ├── resources.proto
│ │ │ │ │ ├── signed_cc_dep_spec.pb.go
│ │ │ │ │ ├── signed_cc_dep_spec.proto
│ │ │ │ │ ├── transaction.go
│ │ │ │ │ ├── transaction.pb.go
│ │ │ │ │ └── transaction.proto
│ │ │ │ ├── token/
│ │ │ │ │ ├── expectations.pb.go
│ │ │ │ │ ├── expectations.proto
│ │ │ │ │ ├── prover.pb.go
│ │ │ │ │ ├── prover.proto
│ │ │ │ │ ├── transaction.pb.go
│ │ │ │ │ └── transaction.proto
│ │ │ │ └── utils/
│ │ │ │ ├── blockutils.go
│ │ │ │ ├── chaincodeutils.go
│ │ │ │ ├── commonutils.go
│ │ │ │ ├── proputils.go
│ │ │ │ └── txutils.go
│ │ │ ├── fabric-amcl/
│ │ │ │ ├── LICENSE
│ │ │ │ └── amcl/
│ │ │ │ ├── AES.go
│ │ │ │ ├── FP256BN/
│ │ │ │ │ ├── ARCH.go
│ │ │ │ │ ├── BIG.go
│ │ │ │ │ ├── DBIG.go
│ │ │ │ │ ├── ECDH.go
│ │ │ │ │ ├── ECP.go
│ │ │ │ │ ├── ECP2.go
│ │ │ │ │ ├── FP.go
│ │ │ │ │ ├── FP12.go
│ │ │ │ │ ├── FP2.go
│ │ │ │ │ ├── FP4.go
│ │ │ │ │ ├── MPIN.go
│ │ │ │ │ ├── PAIR.go
│ │ │ │ │ └── ROM.go
│ │ │ │ ├── GCM.go
│ │ │ │ ├── HASH256.go
│ │ │ │ ├── HASH384.go
│ │ │ │ ├── HASH512.go
│ │ │ │ ├── NHS.go
│ │ │ │ ├── RAND.go
│ │ │ │ └── SHA3.go
│ │ │ └── fabric-chaincode-evm/
│ │ │ └── fab3/
│ │ │ └── types/
│ │ │ └── types.go
│ │ ├── konsorten/
│ │ │ └── go-windows-terminal-sequences/
│ │ │ ├── LICENSE
│ │ │ ├── README.md
│ │ │ ├── go.mod
│ │ │ └── sequences.go
│ │ ├── magiconair/
│ │ │ └── properties/
│ │ │ ├── .gitignore
│ │ │ ├── .travis.yml
│ │ │ ├── CHANGELOG.md
│ │ │ ├── LICENSE
│ │ │ ├── README.md
│ │ │ ├── decode.go
│ │ │ ├── doc.go
│ │ │ ├── go.mod
│ │ │ ├── integrate.go
│ │ │ ├── lex.go
│ │ │ ├── load.go
│ │ │ ├── parser.go
│ │ │ ├── properties.go
│ │ │ └── rangecheck.go
│ │ ├── miekg/
│ │ │ └── pkcs11/
│ │ │ ├── .gitignore
│ │ │ ├── .travis.yml
│ │ │ ├── LICENSE
│ │ │ ├── Makefile.release
│ │ │ ├── README.md
│ │ │ ├── const.go
│ │ │ ├── error.go
│ │ │ ├── go.mod
│ │ │ ├── params.go
│ │ │ ├── pkcs11.go
│ │ │ ├── pkcs11.h
│ │ │ ├── pkcs11f.h
│ │ │ ├── pkcs11go.h
│ │ │ ├── pkcs11t.h
│ │ │ ├── release.go
│ │ │ ├── softhsm.conf
│ │ │ ├── softhsm2.conf
│ │ │ ├── types.go
│ │ │ └── vendor.go
│ │ ├── mitchellh/
│ │ │ └── mapstructure/
│ │ │ ├── .travis.yml
│ │ │ ├── CHANGELOG.md
│ │ │ ├── LICENSE
│ │ │ ├── README.md
│ │ │ ├── decode_hooks.go
│ │ │ ├── error.go
│ │ │ ├── go.mod
│ │ │ └── mapstructure.go
│ │ ├── onsi/
│ │ │ ├── ginkgo/
│ │ │ │ ├── .gitignore
│ │ │ │ ├── .travis.yml
│ │ │ │ ├── CHANGELOG.md
│ │ │ │ ├── CONTRIBUTING.md
│ │ │ │ ├── LICENSE
│ │ │ │ ├── README.md
│ │ │ │ ├── RELEASING.md
│ │ │ │ ├── config/
│ │ │ │ │ └── config.go
│ │ │ │ ├── ginkgo_dsl.go
│ │ │ │ ├── internal/
│ │ │ │ │ ├── codelocation/
│ │ │ │ │ │ └── code_location.go
│ │ │ │ │ ├── containernode/
│ │ │ │ │ │ └── container_node.go
│ │ │ │ │ ├── failer/
│ │ │ │ │ │ └── failer.go
│ │ │ │ │ ├── leafnodes/
│ │ │ │ │ │ ├── benchmarker.go
│ │ │ │ │ │ ├── interfaces.go
│ │ │ │ │ │ ├── it_node.go
│ │ │ │ │ │ ├── measure_node.go
│ │ │ │ │ │ ├── runner.go
│ │ │ │ │ │ ├── setup_nodes.go
│ │ │ │ │ │ ├── suite_nodes.go
│ │ │ │ │ │ ├── synchronized_after_suite_node.go
│ │ │ │ │ │ └── synchronized_before_suite_node.go
│ │ │ │ │ ├── remote/
│ │ │ │ │ │ ├── aggregator.go
│ │ │ │ │ │ ├── forwarding_reporter.go
│ │ │ │ │ │ ├── output_interceptor.go
│ │ │ │ │ │ ├── output_interceptor_unix.go
│ │ │ │ │ │ ├── output_interceptor_win.go
│ │ │ │ │ │ ├── server.go
│ │ │ │ │ │ ├── syscall_dup_linux_arm64.go
│ │ │ │ │ │ ├── syscall_dup_solaris.go
│ │ │ │ │ │ └── syscall_dup_unix.go
│ │ │ │ │ ├── spec/
│ │ │ │ │ │ ├── spec.go
│ │ │ │ │ │ └── specs.go
│ │ │ │ │ ├── spec_iterator/
│ │ │ │ │ │ ├── index_computer.go
│ │ │ │ │ │ ├── parallel_spec_iterator.go
│ │ │ │ │ │ ├── serial_spec_iterator.go
│ │ │ │ │ │ ├── sharded_parallel_spec_iterator.go
│ │ │ │ │ │ └── spec_iterator.go
│ │ │ │ │ ├── specrunner/
│ │ │ │ │ │ ├── random_id.go
│ │ │ │ │ │ └── spec_runner.go
│ │ │ │ │ ├── suite/
│ │ │ │ │ │ └── suite.go
│ │ │ │ │ ├── testingtproxy/
│ │ │ │ │ │ └── testing_t_proxy.go
│ │ │ │ │ └── writer/
│ │ │ │ │ ├── fake_writer.go
│ │ │ │ │ └── writer.go
│ │ │ │ ├── reporters/
│ │ │ │ │ ├── default_reporter.go
│ │ │ │ │ ├── fake_reporter.go
│ │ │ │ │ ├── junit_reporter.go
│ │ │ │ │ ├── reporter.go
│ │ │ │ │ ├── stenographer/
│ │ │ │ │ │ ├── console_logging.go
│ │ │ │ │ │ ├── fake_stenographer.go
│ │ │ │ │ │ ├── stenographer.go
│ │ │ │ │ │ └── support/
│ │ │ │ │ │ ├── go-colorable/
│ │ │ │ │ │ │ ├── LICENSE
│ │ │ │ │ │ │ ├── README.md
│ │ │ │ │ │ │ ├── colorable_others.go
│ │ │ │ │ │ │ ├── colorable_windows.go
│ │ │ │ │ │ │ └── noncolorable.go
│ │ │ │ │ │ └── go-isatty/
│ │ │ │ │ │ ├── LICENSE
│ │ │ │ │ │ ├── README.md
│ │ │ │ │ │ ├── doc.go
│ │ │ │ │ │ ├── isatty_appengine.go
│ │ │ │ │ │ ├── isatty_bsd.go
│ │ │ │ │ │ ├── isatty_linux.go
│ │ │ │ │ │ ├── isatty_solaris.go
│ │ │ │ │ │ └── isatty_windows.go
│ │ │ │ │ └── teamcity_reporter.go
│ │ │ │ └── types/
│ │ │ │ ├── code_location.go
│ │ │ │ ├── synchronization.go
│ │ │ │ └── types.go
│ │ │ └── gomega/
│ │ │ ├── .gitignore
│ │ │ ├── .travis.yml
│ │ │ ├── CHANGELOG.md
│ │ │ ├── CONTRIBUTING.md
│ │ │ ├── LICENSE
│ │ │ ├── Makefile
│ │ │ ├── README.md
│ │ │ ├── RELEASING.md
│ │ │ ├── format/
│ │ │ │ └── format.go
│ │ │ ├── gbytes/
│ │ │ │ ├── buffer.go
│ │ │ │ ├── io_wrappers.go
│ │ │ │ └── say_matcher.go
│ │ │ ├── gexec/
│ │ │ │ ├── build.go
│ │ │ │ ├── exit_matcher.go
│ │ │ │ ├── prefixed_writer.go
│ │ │ │ └── session.go
│ │ │ ├── go.mod
│ │ │ ├── go.sum
│ │ │ ├── gomega_dsl.go
│ │ │ ├── internal/
│ │ │ │ ├── assertion/
│ │ │ │ │ └── assertion.go
│ │ │ │ ├── asyncassertion/
│ │ │ │ │ └── async_assertion.go
│ │ │ │ ├── oraclematcher/
│ │ │ │ │ └── oracle_matcher.go
│ │ │ │ └── testingtsupport/
│ │ │ │ └── testing_t_support.go
│ │ │ ├── matchers/
│ │ │ │ ├── and.go
│ │ │ │ ├── assignable_to_type_of_matcher.go
│ │ │ │ ├── attributes_slice.go
│ │ │ │ ├── be_a_directory.go
│ │ │ │ ├── be_a_regular_file.go
│ │ │ │ ├── be_an_existing_file.go
│ │ │ │ ├── be_closed_matcher.go
│ │ │ │ ├── be_element_of_matcher.go
│ │ │ │ ├── be_empty_matcher.go
│ │ │ │ ├── be_equivalent_to_matcher.go
│ │ │ │ ├── be_false_matcher.go
│ │ │ │ ├── be_identical_to.go
│ │ │ │ ├── be_nil_matcher.go
│ │ │ │ ├── be_numerically_matcher.go
│ │ │ │ ├── be_sent_matcher.go
│ │ │ │ ├── be_temporally_matcher.go
│ │ │ │ ├── be_true_matcher.go
│ │ │ │ ├── be_zero_matcher.go
│ │ │ │ ├── consist_of.go
│ │ │ │ ├── contain_element_matcher.go
│ │ │ │ ├── contain_substring_matcher.go
│ │ │ │ ├── equal_matcher.go
│ │ │ │ ├── have_cap_matcher.go
│ │ │ │ ├── have_key_matcher.go
│ │ │ │ ├── have_key_with_value_matcher.go
│ │ │ │ ├── have_len_matcher.go
│ │ │ │ ├── have_occurred_matcher.go
│ │ │ │ ├── have_prefix_matcher.go
│ │ │ │ ├── have_suffix_matcher.go
│ │ │ │ ├── match_error_matcher.go
│ │ │ │ ├── match_json_matcher.go
│ │ │ │ ├── match_regexp_matcher.go
│ │ │ │ ├── match_xml_matcher.go
│ │ │ │ ├── match_yaml_matcher.go
│ │ │ │ ├── not.go
│ │ │ │ ├── or.go
│ │ │ │ ├── panic_matcher.go
│ │ │ │ ├── receive_matcher.go
│ │ │ │ ├── semi_structured_data_support.go
│ │ │ │ ├── succeed_matcher.go
│ │ │ │ ├── support/
│ │ │ │ │ └── goraph/
│ │ │ │ │ ├── bipartitegraph/
│ │ │ │ │ │ ├── bipartitegraph.go
│ │ │ │ │ │ └── bipartitegraphmatching.go
│ │ │ │ │ ├── edge/
│ │ │ │ │ │ └── edge.go
│ │ │ │ │ ├── node/
│ │ │ │ │ │ └── node.go
│ │ │ │ │ └── util/
│ │ │ │ │ └── util.go
│ │ │ │ ├── type_support.go
│ │ │ │ └── with_transform.go
│ │ │ ├── matchers.go
│ │ │ └── types/
│ │ │ └── types.go
│ │ ├── op/
│ │ │ └── go-logging/
│ │ │ ├── .travis.yml
│ │ │ ├── CHANGELOG.md
│ │ │ ├── CONTRIBUTORS
│ │ │ ├── LICENSE
│ │ │ ├── README.md
│ │ │ ├── backend.go
│ │ │ ├── format.go
│ │ │ ├── level.go
│ │ │ ├── log_nix.go
│ │ │ ├── log_windows.go
│ │ │ ├── logger.go
│ │ │ ├── memory.go
│ │ │ ├── multi.go
│ │ │ ├── syslog.go
│ │ │ └── syslog_fallback.go
│ │ ├── opencontainers/
│ │ │ ├── go-digest/
│ │ │ │ ├── .mailmap
│ │ │ │ ├── .pullapprove.yml
│ │ │ │ ├── .travis.yml
│ │ │ │ ├── CONTRIBUTING.md
│ │ │ │ ├── LICENSE.code
│ │ │ │ ├── LICENSE.docs
│ │ │ │ ├── MAINTAINERS
│ │ │ │ ├── README.md
│ │ │ │ ├── algorithm.go
│ │ │ │ ├── digest.go
│ │ │ │ ├── digester.go
│ │ │ │ ├── doc.go
│ │ │ │ └── verifiers.go
│ │ │ ├── image-spec/
│ │ │ │ ├── LICENSE
│ │ │ │ └── specs-go/
│ │ │ │ ├── v1/
│ │ │ │ │ ├── annotations.go
│ │ │ │ │ ├── config.go
│ │ │ │ │ ├── descriptor.go
│ │ │ │ │ ├── index.go
│ │ │ │ │ ├── layout.go
│ │ │ │ │ ├── manifest.go
│ │ │ │ │ └── mediatype.go
│ │ │ │ ├── version.go
│ │ │ │ └── versioned.go
│ │ │ └── runc/
│ │ │ ├── LICENSE
│ │ │ ├── NOTICE
│ │ │ └── libcontainer/
│ │ │ └── user/
│ │ │ ├── MAINTAINERS
│ │ │ ├── lookup.go
│ │ │ ├── lookup_unix.go
│ │ │ ├── lookup_unsupported.go
│ │ │ └── user.go
│ │ ├── pelletier/
│ │ │ └── go-toml/
│ │ │ ├── .gitignore
│ │ │ ├── .travis.yml
│ │ │ ├── LICENSE
│ │ │ ├── README.md
│ │ │ ├── benchmark.json
│ │ │ ├── benchmark.sh
│ │ │ ├── benchmark.toml
│ │ │ ├── benchmark.yml
│ │ │ ├── doc.go
│ │ │ ├── example-crlf.toml
│ │ │ ├── example.toml
│ │ │ ├── fuzz.go
│ │ │ ├── fuzz.sh
│ │ │ ├── keysparsing.go
│ │ │ ├── lexer.go
│ │ │ ├── marshal.go
│ │ │ ├── marshal_test.toml
│ │ │ ├── parser.go
│ │ │ ├── position.go
│ │ │ ├── test.sh
│ │ │ ├── token.go
│ │ │ ├── toml.go
│ │ │ ├── tomltree_create.go
│ │ │ └── tomltree_write.go
│ │ ├── pkg/
│ │ │ └── errors/
│ │ │ ├── .gitignore
│ │ │ ├── .travis.yml
│ │ │ ├── LICENSE
│ │ │ ├── README.md
│ │ │ ├── appveyor.yml
│ │ │ ├── errors.go
│ │ │ └── stack.go
│ │ ├── spf13/
│ │ │ ├── afero/
│ │ │ │ ├── .travis.yml
│ │ │ │ ├── LICENSE.txt
│ │ │ │ ├── README.md
│ │ │ │ ├── afero.go
│ │ │ │ ├── appveyor.yml
│ │ │ │ ├── basepath.go
│ │ │ │ ├── cacheOnReadFs.go
│ │ │ │ ├── const_bsds.go
│ │ │ │ ├── const_win_unix.go
│ │ │ │ ├── copyOnWriteFs.go
│ │ │ │ ├── go.mod
│ │ │ │ ├── httpFs.go
│ │ │ │ ├── ioutil.go
│ │ │ │ ├── lstater.go
│ │ │ │ ├── match.go
│ │ │ │ ├── mem/
│ │ │ │ │ ├── dir.go
│ │ │ │ │ ├── dirmap.go
│ │ │ │ │ └── file.go
│ │ │ │ ├── memmap.go
│ │ │ │ ├── os.go
│ │ │ │ ├── path.go
│ │ │ │ ├── readonlyfs.go
│ │ │ │ ├── regexpfs.go
│ │ │ │ ├── unionFile.go
│ │ │ │ └── util.go
│ │ │ ├── cast/
│ │ │ │ ├── .gitignore
│ │ │ │ ├── .travis.yml
│ │ │ │ ├── LICENSE
│ │ │ │ ├── Makefile
│ │ │ │ ├── README.md
│ │ │ │ ├── cast.go
│ │ │ │ ├── caste.go
│ │ │ │ ├── go.mod
│ │ │ │ └── go.sum
│ │ │ ├── jwalterweatherman/
│ │ │ │ ├── .gitignore
│ │ │ │ ├── LICENSE
│ │ │ │ ├── README.md
│ │ │ │ ├── default_notepad.go
│ │ │ │ ├── go.mod
│ │ │ │ ├── log_counter.go
│ │ │ │ └── notepad.go
│ │ │ └── pflag/
│ │ │ ├── .gitignore
│ │ │ ├── .travis.yml
│ │ │ ├── LICENSE
│ │ │ ├── README.md
│ │ │ ├── bool.go
│ │ │ ├── bool_slice.go
│ │ │ ├── bytes.go
│ │ │ ├── count.go
│ │ │ ├── duration.go
│ │ │ ├── duration_slice.go
│ │ │ ├── flag.go
│ │ │ ├── float32.go
│ │ │ ├── float64.go
│ │ │ ├── golangflag.go
│ │ │ ├── int.go
│ │ │ ├── int16.go
│ │ │ ├── int32.go
│ │ │ ├── int64.go
│ │ │ ├── int8.go
│ │ │ ├── int_slice.go
│ │ │ ├── ip.go
│ │ │ ├── ip_slice.go
│ │ │ ├── ipmask.go
│ │ │ ├── ipnet.go
│ │ │ ├── string.go
│ │ │ ├── string_array.go
│ │ │ ├── string_slice.go
│ │ │ ├── string_to_int.go
│ │ │ ├── string_to_string.go
│ │ │ ├── uint.go
│ │ │ ├── uint16.go
│ │ │ ├── uint32.go
│ │ │ ├── uint64.go
│ │ │ ├── uint8.go
│ │ │ └── uint_slice.go
│ │ └── tedsuo/
│ │ └── ifrit/
│ │ ├── .gitignore
│ │ ├── LICENSE
│ │ ├── README.md
│ │ ├── doc.go
│ │ ├── ginkgomon/
│ │ │ ├── ginkgomon.go
│ │ │ └── helpers.go
│ │ ├── grouper/
│ │ │ ├── client.go
│ │ │ ├── doc.go
│ │ │ ├── dynamic_group.go
│ │ │ ├── entrance_events.go
│ │ │ ├── exit_events.go
│ │ │ ├── members.go
│ │ │ ├── ordered.go
│ │ │ ├── parallel.go
│ │ │ ├── queue_ordered.go
│ │ │ └── sliding_buffer.go
│ │ ├── process.go
│ │ └── runner.go
│ ├── go.uber.org/
│ │ ├── atomic/
│ │ │ ├── .codecov.yml
│ │ │ ├── .gitignore
│ │ │ ├── .travis.yml
│ │ │ ├── LICENSE.txt
│ │ │ ├── Makefile
│ │ │ ├── README.md
│ │ │ ├── atomic.go
│ │ │ ├── error.go
│ │ │ ├── glide.yaml
│ │ │ └── string.go
│ │ └── multierr/
│ │ ├── .codecov.yml
│ │ ├── .gitignore
│ │ ├── .travis.yml
│ │ ├── CHANGELOG.md
│ │ ├── LICENSE.txt
│ │ ├── Makefile
│ │ ├── README.md
│ │ ├── error.go
│ │ └── glide.yaml
│ ├── golang.org/
│ │ └── x/
│ │ ├── crypto/
│ │ │ ├── AUTHORS
│ │ │ ├── CONTRIBUTORS
│ │ │ ├── LICENSE
│ │ │ ├── PATENTS
│ │ │ └── sha3/
│ │ │ ├── doc.go
│ │ │ ├── hashes.go
│ │ │ ├── hashes_generic.go
│ │ │ ├── keccakf.go
│ │ │ ├── keccakf_amd64.go
│ │ │ ├── keccakf_amd64.s
│ │ │ ├── register.go
│ │ │ ├── sha3.go
│ │ │ ├── sha3_s390x.go
│ │ │ ├── sha3_s390x.s
│ │ │ ├── shake.go
│ │ │ ├── shake_generic.go
│ │ │ ├── xor.go
│ │ │ ├── xor_generic.go
│ │ │ └── xor_unaligned.go
│ │ ├── net/
│ │ │ ├── AUTHORS
│ │ │ ├── CONTRIBUTORS
│ │ │ ├── LICENSE
│ │ │ ├── PATENTS
│ │ │ ├── context/
│ │ │ │ ├── context.go
│ │ │ │ ├── go17.go
│ │ │ │ ├── go19.go
│ │ │ │ ├── pre_go17.go
│ │ │ │ └── pre_go19.go
│ │ │ ├── html/
│ │ │ │ ├── atom/
│ │ │ │ │ ├── atom.go
│ │ │ │ │ ├── gen.go
│ │ │ │ │ └── table.go
│ │ │ │ ├── charset/
│ │ │ │ │ └── charset.go
│ │ │ │ ├── const.go
│ │ │ │ ├── doc.go
│ │ │ │ ├── doctype.go
│ │ │ │ ├── entity.go
│ │ │ │ ├── escape.go
│ │ │ │ ├── foreign.go
│ │ │ │ ├── node.go
│ │ │ │ ├── parse.go
│ │ │ │ ├── render.go
│ │ │ │ └── token.go
│ │ │ ├── http/
│ │ │ │ └── httpguts/
│ │ │ │ ├── guts.go
│ │ │ │ └── httplex.go
│ │ │ ├── http2/
│ │ │ │ ├── .gitignore
│ │ │ │ ├── Dockerfile
│ │ │ │ ├── Makefile
│ │ │ │ ├── README
│ │ │ │ ├── ciphers.go
│ │ │ │ ├── client_conn_pool.go
│ │ │ │ ├── databuffer.go
│ │ │ │ ├── errors.go
│ │ │ │ ├── flow.go
│ │ │ │ ├── frame.go
│ │ │ │ ├── go111.go
│ │ │ │ ├── gotrack.go
│ │ │ │ ├── headermap.go
│ │ │ │ ├── hpack/
│ │ │ │ │ ├── encode.go
│ │ │ │ │ ├── hpack.go
│ │ │ │ │ ├── huffman.go
│ │ │ │ │ └── tables.go
│ │ │ │ ├── http2.go
│ │ │ │ ├── not_go111.go
│ │ │ │ ├── pipe.go
│ │ │ │ ├── server.go
│ │ │ │ ├── transport.go
│ │ │ │ ├── write.go
│ │ │ │ ├── writesched.go
│ │ │ │ ├── writesched_priority.go
│ │ │ │ └── writesched_random.go
│ │ │ ├── idna/
│ │ │ │ ├── idna10.0.0.go
│ │ │ │ ├── idna9.0.0.go
│ │ │ │ ├── punycode.go
│ │ │ │ ├── tables10.0.0.go
│ │ │ │ ├── tables11.0.0.go
│ │ │ │ ├── tables9.0.0.go
│ │ │ │ ├── trie.go
│ │ │ │ └── trieval.go
│ │ │ ├── internal/
│ │ │ │ └── timeseries/
│ │ │ │ └── timeseries.go
│ │ │ └── trace/
│ │ │ ├── events.go
│ │ │ ├── histogram.go
│ │ │ └── trace.go
│ │ ├── sys/
│ │ │ ├── AUTHORS
│ │ │ ├── CONTRIBUTORS
│ │ │ ├── LICENSE
│ │ │ ├── PATENTS
│ │ │ ├── cpu/
│ │ │ │ ├── asm_aix_ppc64.s
│ │ │ │ ├── byteorder.go
│ │ │ │ ├── cpu.go
│ │ │ │ ├── cpu_aix_ppc64.go
│ │ │ │ ├── cpu_arm.go
│ │ │ │ ├── cpu_gc_s390x.go
│ │ │ │ ├── cpu_gc_x86.go
│ │ │ │ ├── cpu_gccgo.c
│ │ │ │ ├── cpu_gccgo.go
│ │ │ │ ├── cpu_gccgo_s390x.go
│ │ │ │ ├── cpu_linux.go
│ │ │ │ ├── cpu_linux_arm.go
│ │ │ │ ├── cpu_linux_arm64.go
│ │ │ │ ├── cpu_linux_ppc64x.go
│ │ │ │ ├── cpu_linux_s390x.go
│ │ │ │ ├── cpu_mips64x.go
│ │ │ │ ├── cpu_mipsx.go
│ │ │ │ ├── cpu_other_arm64.go
│ │ │ │ ├── cpu_s390x.s
│ │ │ │ ├── cpu_wasm.go
│ │ │ │ ├── cpu_x86.go
│ │ │ │ ├── cpu_x86.s
│ │ │ │ └── syscall_aix_ppc64_gc.go
│ │ │ ├── unix/
│ │ │ │ ├── .gitignore
│ │ │ │ ├── README.md
│ │ │ │ ├── affinity_linux.go
│ │ │ │ ├── aliases.go
│ │ │ │ ├── asm_aix_ppc64.s
│ │ │ │ ├── asm_darwin_386.s
│ │ │ │ ├── asm_darwin_amd64.s
│ │ │ │ ├── asm_darwin_arm.s
│ │ │ │ ├── asm_darwin_arm64.s
│ │ │ │ ├── asm_dragonfly_amd64.s
│ │ │ │ ├── asm_freebsd_386.s
│ │ │ │ ├── asm_freebsd_amd64.s
│ │ │ │ ├── asm_freebsd_arm.s
│ │ │ │ ├── asm_freebsd_arm64.s
│ │ │ │ ├── asm_linux_386.s
│ │ │ │ ├── asm_linux_amd64.s
│ │ │ │ ├── asm_linux_arm.s
│ │ │ │ ├── asm_linux_arm64.s
│ │ │ │ ├── asm_linux_mips64x.s
│ │ │ │ ├── asm_linux_mipsx.s
│ │ │ │ ├── asm_linux_ppc64x.s
│ │ │ │ ├── asm_linux_riscv64.s
│ │ │ │ ├── asm_linux_s390x.s
│ │ │ │ ├── asm_netbsd_386.s
│ │ │ │ ├── asm_netbsd_amd64.s
│ │ │ │ ├── asm_netbsd_arm.s
│ │ │ │ ├── asm_netbsd_arm64.s
│ │ │ │ ├── asm_openbsd_386.s
│ │ │ │ ├── asm_openbsd_amd64.s
│ │ │ │ ├── asm_openbsd_arm.s
│ │ │ │ ├── asm_openbsd_arm64.s
│ │ │ │ ├── asm_solaris_amd64.s
│ │ │ │ ├── bluetooth_linux.go
│ │ │ │ ├── cap_freebsd.go
│ │ │ │ ├── constants.go
│ │ │ │ ├── dev_aix_ppc.go
│ │ │ │ ├── dev_aix_ppc64.go
│ │ │ │ ├── dev_darwin.go
│ │ │ │ ├── dev_dragonfly.go
│ │ │ │ ├── dev_freebsd.go
│ │ │ │ ├── dev_linux.go
│ │ │ │ ├── dev_netbsd.go
│ │ │ │ ├── dev_openbsd.go
│ │ │ │ ├── dirent.go
│ │ │ │ ├── endian_big.go
│ │ │ │ ├── endian_little.go
│ │ │ │ ├── env_unix.go
│ │ │ │ ├── errors_freebsd_386.go
│ │ │ │ ├── errors_freebsd_amd64.go
│ │ │ │ ├── errors_freebsd_arm.go
│ │ │ │ ├── fcntl.go
│ │ │ │ ├── fcntl_darwin.go
│ │ │ │ ├── fcntl_linux_32bit.go
│ │ │ │ ├── gccgo.go
│ │ │ │ ├── gccgo_c.c
│ │ │ │ ├── gccgo_linux_amd64.go
│ │ │ │ ├── ioctl.go
│ │ │ │ ├── mkall.sh
│ │ │ │ ├── mkasm_darwin.go
│ │ │ │ ├── mkerrors.sh
│ │ │ │ ├── mkpost.go
│ │ │ │ ├── mksyscall.go
│ │ │ │ ├── mksyscall_aix_ppc.go
│ │ │ │ ├── mksyscall_aix_ppc64.go
│ │ │ │ ├── mksyscall_solaris.go
│ │ │ │ ├── mksysctl_openbsd.go
│ │ │ │ ├── mksysnum.go
│ │ │ │ ├── pagesize_unix.go
│ │ │ │ ├── pledge_openbsd.go
│ │ │ │ ├── race.go
│ │ │ │ ├── race0.go
│ │ │ │ ├── readdirent_getdents.go
│ │ │ │ ├── readdirent_getdirentries.go
│ │ │ │ ├── sockcmsg_dragonfly.go
│ │ │ │ ├── sockcmsg_linux.go
│ │ │ │ ├── sockcmsg_unix.go
│ │ │ │ ├── sockcmsg_unix_other.go
│ │ │ │ ├── str.go
│ │ │ │ ├── syscall.go
│ │ │ │ ├── syscall_aix.go
│ │ │ │ ├── syscall_aix_ppc.go
│ │ │ │ ├── syscall_aix_ppc64.go
│ │ │ │ ├── syscall_bsd.go
│ │ │ │ ├── syscall_darwin.1_12.go
│ │ │ │ ├── syscall_darwin.1_13.go
│ │ │ │ ├── syscall_darwin.go
│ │ │ │ ├── syscall_darwin_386.1_11.go
│ │ │ │ ├── syscall_darwin_386.go
│ │ │ │ ├── syscall_darwin_amd64.1_11.go
│ │ │ │ ├── syscall_darwin_amd64.go
│ │ │ │ ├── syscall_darwin_arm.1_11.go
│ │ │ │ ├── syscall_darwin_arm.go
│ │ │ │ ├── syscall_darwin_arm64.1_11.go
│ │ │ │ ├── syscall_darwin_arm64.go
│ │ │ │ ├── syscall_darwin_libSystem.go
│ │ │ │ ├── syscall_dragonfly.go
│ │ │ │ ├── syscall_dragonfly_amd64.go
│ │ │ │ ├── syscall_freebsd.go
│ │ │ │ ├── syscall_freebsd_386.go
│ │ │ │ ├── syscall_freebsd_amd64.go
│ │ │ │ ├── syscall_freebsd_arm.go
│ │ │ │ ├── syscall_freebsd_arm64.go
│ │ │ │ ├── syscall_linux.go
│ │ │ │ ├── syscall_linux_386.go
│ │ │ │ ├── syscall_linux_amd64.go
│ │ │ │ ├── syscall_linux_amd64_gc.go
│ │ │ │ ├── syscall_linux_arm.go
│ │ │ │ ├── syscall_linux_arm64.go
│ │ │ │ ├── syscall_linux_gc.go
│ │ │ │ ├── syscall_linux_gc_386.go
│ │ │ │ ├── syscall_linux_gccgo_386.go
│ │ │ │ ├── syscall_linux_gccgo_arm.go
│ │ │ │ ├── syscall_linux_mips64x.go
│ │ │ │ ├── syscall_linux_mipsx.go
│ │ │ │ ├── syscall_linux_ppc64x.go
│ │ │ │ ├── syscall_linux_riscv64.go
│ │ │ │ ├── syscall_linux_s390x.go
│ │ │ │ ├── syscall_linux_sparc64.go
│ │ │ │ ├── syscall_netbsd.go
│ │ │ │ ├── syscall_netbsd_386.go
│ │ │ │ ├── syscall_netbsd_amd64.go
│ │ │ │ ├── syscall_netbsd_arm.go
│ │ │ │ ├── syscall_netbsd_arm64.go
│ │ │ │ ├── syscall_openbsd.go
│ │ │ │ ├── syscall_openbsd_386.go
│ │ │ │ ├── syscall_openbsd_amd64.go
│ │ │ │ ├── syscall_openbsd_arm.go
│ │ │ │ ├── syscall_openbsd_arm64.go
│ │ │ │ ├── syscall_solaris.go
│ │ │ │ ├── syscall_solaris_amd64.go
│ │ │ │ ├── syscall_unix.go
│ │ │ │ ├── syscall_unix_gc.go
│ │ │ │ ├── syscall_unix_gc_ppc64x.go
│ │ │ │ ├── timestruct.go
│ │ │ │ ├── types_aix.go
│ │ │ │ ├── types_darwin.go
│ │ │ │ ├── types_dragonfly.go
│ │ │ │ ├── types_freebsd.go
│ │ │ │ ├── types_netbsd.go
│ │ │ │ ├── types_openbsd.go
│ │ │ │ ├── types_solaris.go
│ │ │ │ ├── unveil_openbsd.go
│ │ │ │ ├── xattr_bsd.go
│ │ │ │ ├── zerrors_aix_ppc.go
│ │ │ │ ├── zerrors_aix_ppc64.go
│ │ │ │ ├── zerrors_darwin_386.go
│ │ │ │ ├── zerrors_darwin_amd64.go
│ │ │ │ ├── zerrors_darwin_arm.go
│ │ │ │ ├── zerrors_darwin_arm64.go
│ │ │ │ ├── zerrors_dragonfly_amd64.go
│ │ │ │ ├── zerrors_freebsd_386.go
│ │ │ │ ├── zerrors_freebsd_amd64.go
│ │ │ │ ├── zerrors_freebsd_arm.go
│ │ │ │ ├── zerrors_freebsd_arm64.go
│ │ │ │ ├── zerrors_linux_386.go
│ │ │ │ ├── zerrors_linux_amd64.go
│ │ │ │ ├── zerrors_linux_arm.go
│ │ │ │ ├── zerrors_linux_arm64.go
│ │ │ │ ├── zerrors_linux_mips.go
│ │ │ │ ├── zerrors_linux_mips64.go
│ │ │ │ ├── zerrors_linux_mips64le.go
│ │ │ │ ├── zerrors_linux_mipsle.go
│ │ │ │ ├── zerrors_linux_ppc64.go
│ │ │ │ ├── zerrors_linux_ppc64le.go
│ │ │ │ ├── zerrors_linux_riscv64.go
│ │ │ │ ├── zerrors_linux_s390x.go
│ │ │ │ ├── zerrors_linux_sparc64.go
│ │ │ │ ├── zerrors_netbsd_386.go
│ │ │ │ ├── zerrors_netbsd_amd64.go
│ │ │ │ ├── zerrors_netbsd_arm.go
│ │ │ │ ├── zerrors_netbsd_arm64.go
│ │ │ │ ├── zerrors_openbsd_386.go
│ │ │ │ ├── zerrors_openbsd_amd64.go
│ │ │ │ ├── zerrors_openbsd_arm.go
│ │ │ │ ├── zerrors_openbsd_arm64.go
│ │ │ │ ├── zerrors_solaris_amd64.go
│ │ │ │ ├── zptrace386_linux.go
│ │ │ │ ├── zptracearm_linux.go
│ │ │ │ ├── zptracemips_linux.go
│ │ │ │ ├── zptracemipsle_linux.go
│ │ │ │ ├── zsyscall_aix_ppc.go
│ │ │ │ ├── zsyscall_aix_ppc64.go
│ │ │ │ ├── zsyscall_aix_ppc64_gc.go
│ │ │ │ ├── zsyscall_aix_ppc64_gccgo.go
│ │ │ │ ├── zsyscall_darwin_386.1_11.go
│ │ │ │ ├── zsyscall_darwin_386.1_13.go
│ │ │ │ ├── zsyscall_darwin_386.1_13.s
│ │ │ │ ├── zsyscall_darwin_386.go
│ │ │ │ ├── zsyscall_darwin_386.s
│ │ │ │ ├── zsyscall_darwin_amd64.1_11.go
│ │ │ │ ├── zsyscall_darwin_amd64.1_13.go
│ │ │ │ ├── zsyscall_darwin_amd64.1_13.s
│ │ │ │ ├── zsyscall_darwin_amd64.go
│ │ │ │ ├── zsyscall_darwin_amd64.s
│ │ │ │ ├── zsyscall_darwin_arm.1_11.go
│ │ │ │ ├── zsyscall_darwin_arm.1_13.go
│ │ │ │ ├── zsyscall_darwin_arm.1_13.s
│ │ │ │ ├── zsyscall_darwin_arm.go
│ │ │ │ ├── zsyscall_darwin_arm.s
│ │ │ │ ├── zsyscall_darwin_arm64.1_11.go
│ │ │ │ ├── zsyscall_darwin_arm64.1_13.go
│ │ │ │ ├── zsyscall_darwin_arm64.1_13.s
│ │ │ │ ├── zsyscall_darwin_arm64.go
│ │ │ │ ├── zsyscall_darwin_arm64.s
│ │ │ │ ├── zsyscall_dragonfly_amd64.go
│ │ │ │ ├── zsyscall_freebsd_386.go
│ │ │ │ ├── zsyscall_freebsd_amd64.go
│ │ │ │ ├── zsyscall_freebsd_arm.go
│ │ │ │ ├── zsyscall_freebsd_arm64.go
│ │ │ │ ├── zsyscall_linux_386.go
│ │ │ │ ├── zsyscall_linux_amd64.go
│ │ │ │ ├── zsyscall_linux_arm.go
│ │ │ │ ├── zsyscall_linux_arm64.go
│ │ │ │ ├── zsyscall_linux_mips.go
│ │ │ │ ├── zsyscall_linux_mips64.go
│ │ │ │ ├── zsyscall_linux_mips64le.go
│ │ │ │ ├── zsyscall_linux_mipsle.go
│ │ │ │ ├── zsyscall_linux_ppc64.go
│ │ │ │ ├── zsyscall_linux_ppc64le.go
│ │ │ │ ├── zsyscall_linux_riscv64.go
│ │ │ │ ├── zsyscall_linux_s390x.go
│ │ │ │ ├── zsyscall_linux_sparc64.go
│ │ │ │ ├── zsyscall_netbsd_386.go
│ │ │ │ ├── zsyscall_netbsd_amd64.go
│ │ │ │ ├── zsyscall_netbsd_arm.go
│ │ │ │ ├── zsyscall_netbsd_arm64.go
│ │ │ │ ├── zsyscall_openbsd_386.go
│ │ │ │ ├── zsyscall_openbsd_amd64.go
│ │ │ │ ├── zsyscall_openbsd_arm.go
│ │ │ │ ├── zsyscall_openbsd_arm64.go
│ │ │ │ ├── zsyscall_solaris_amd64.go
│ │ │ │ ├── zsysctl_openbsd_386.go
│ │ │ │ ├── zsysctl_openbsd_amd64.go
│ │ │ │ ├── zsysctl_openbsd_arm.go
│ │ │ │ ├── zsysctl_openbsd_arm64.go
│ │ │ │ ├── zsysnum_darwin_386.go
│ │ │ │ ├── zsysnum_darwin_amd64.go
│ │ │ │ ├── zsysnum_darwin_arm.go
│ │ │ │ ├── zsysnum_darwin_arm64.go
│ │ │ │ ├── zsysnum_dragonfly_amd64.go
│ │ │ │ ├── zsysnum_freebsd_386.go
│ │ │ │ ├── zsysnum_freebsd_amd64.go
│ │ │ │ ├── zsysnum_freebsd_arm.go
│ │ │ │ ├── zsysnum_freebsd_arm64.go
│ │ │ │ ├── zsysnum_linux_386.go
│ │ │ │ ├── zsysnum_linux_amd64.go
│ │ │ │ ├── zsysnum_linux_arm.go
│ │ │ │ ├── zsysnum_linux_arm64.go
│ │ │ │ ├── zsysnum_linux_mips.go
│ │ │ │ ├── zsysnum_linux_mips64.go
│ │ │ │ ├── zsysnum_linux_mips64le.go
│ │ │ │ ├── zsysnum_linux_mipsle.go
│ │ │ │ ├── zsysnum_linux_ppc64.go
│ │ │ │ ├── zsysnum_linux_ppc64le.go
│ │ │ │ ├── zsysnum_linux_riscv64.go
│ │ │ │ ├── zsysnum_linux_s390x.go
│ │ │ │ ├── zsysnum_linux_sparc64.go
│ │ │ │ ├── zsysnum_netbsd_386.go
│ │ │ │ ├── zsysnum_netbsd_amd64.go
│ │ │ │ ├── zsysnum_netbsd_arm.go
│ │ │ │ ├── zsysnum_netbsd_arm64.go
│ │ │ │ ├── zsysnum_openbsd_386.go
│ │ │ │ ├── zsysnum_openbsd_amd64.go
│ │ │ │ ├── zsysnum_openbsd_arm.go
│ │ │ │ ├── zsysnum_openbsd_arm64.go
│ │ │ │ ├── ztypes_aix_ppc.go
│ │ │ │ ├── ztypes_aix_ppc64.go
│ │ │ │ ├── ztypes_darwin_386.go
│ │ │ │ ├── ztypes_darwin_amd64.go
│ │ │ │ ├── ztypes_darwin_arm.go
│ │ │ │ ├── ztypes_darwin_arm64.go
│ │ │ │ ├── ztypes_dragonfly_amd64.go
│ │ │ │ ├── ztypes_freebsd_386.go
│ │ │ │ ├── ztypes_freebsd_amd64.go
│ │ │ │ ├── ztypes_freebsd_arm.go
│ │ │ │ ├── ztypes_freebsd_arm64.go
│ │ │ │ ├── ztypes_linux_386.go
│ │ │ │ ├── ztypes_linux_amd64.go
│ │ │ │ ├── ztypes_linux_arm.go
│ │ │ │ ├── ztypes_linux_arm64.go
│ │ │ │ ├── ztypes_linux_mips.go
│ │ │ │ ├── ztypes_linux_mips64.go
│ │ │ │ ├── ztypes_linux_mips64le.go
│ │ │ │ ├── ztypes_linux_mipsle.go
│ │ │ │ ├── ztypes_linux_ppc64.go
│ │ │ │ ├── ztypes_linux_ppc64le.go
│ │ │ │ ├── ztypes_linux_riscv64.go
│ │ │ │ ├── ztypes_linux_s390x.go
│ │ │ │ ├── ztypes_linux_sparc64.go
│ │ │ │ ├── ztypes_netbsd_386.go
│ │ │ │ ├── ztypes_netbsd_amd64.go
│ │ │ │ ├── ztypes_netbsd_arm.go
│ │ │ │ ├── ztypes_netbsd_arm64.go
│ │ │ │ ├── ztypes_openbsd_386.go
│ │ │ │ ├── ztypes_openbsd_amd64.go
│ │ │ │ ├── ztypes_openbsd_arm.go
│ │ │ │ ├── ztypes_openbsd_arm64.go
│ │ │ │ └── ztypes_solaris_amd64.go
│ │ │ └── windows/
│ │ │ ├── aliases.go
│ │ │ ├── dll_windows.go
│ │ │ ├── env_windows.go
│ │ │ ├── eventlog.go
│ │ │ ├── exec_windows.go
│ │ │ ├── memory_windows.go
│ │ │ ├── mkerrors.bash
│ │ │ ├── mkknownfolderids.bash
│ │ │ ├── mksyscall.go
│ │ │ ├── race.go
│ │ │ ├── race0.go
│ │ │ ├── security_windows.go
│ │ │ ├── service.go
│ │ │ ├── str.go
│ │ │ ├── syscall.go
│ │ │ ├── syscall_windows.go
│ │ │ ├── types_windows.go
│ │ │ ├── types_windows_386.go
│ │ │ ├── types_windows_amd64.go
│ │ │ ├── types_windows_arm.go
│ │ │ ├── zerrors_windows.go
│ │ │ ├── zknownfolderids_windows.go
│ │ │ └── zsyscall_windows.go
│ │ └── text/
│ │ ├── AUTHORS
│ │ ├── CONTRIBUTORS
│ │ ├── LICENSE
│ │ ├── PATENTS
│ │ ├── encoding/
│ │ │ ├── charmap/
│ │ │ │ ├── charmap.go
│ │ │ │ ├── maketables.go
│ │ │ │ └── tables.go
│ │ │ ├── encoding.go
│ │ │ ├── htmlindex/
│ │ │ │ ├── gen.go
│ │ │ │ ├── htmlindex.go
│ │ │ │ ├── map.go
│ │ │ │ └── tables.go
│ │ │ ├── internal/
│ │ │ │ ├── identifier/
│ │ │ │ │ ├── gen.go
│ │ │ │ │ ├── identifier.go
│ │ │ │ │ └── mib.go
│ │ │ │ └── internal.go
│ │ │ ├── japanese/
│ │ │ │ ├── all.go
│ │ │ │ ├── eucjp.go
│ │ │ │ ├── iso2022jp.go
│ │ │ │ ├── maketables.go
│ │ │ │ ├── shiftjis.go
│ │ │ │ └── tables.go
│ │ │ ├── korean/
│ │ │ │ ├── euckr.go
│ │ │ │ ├── maketables.go
│ │ │ │ └── tables.go
│ │ │ ├── simplifiedchinese/
│ │ │ │ ├── all.go
│ │ │ │ ├── gbk.go
│ │ │ │ ├── hzgb2312.go
│ │ │ │ ├── maketables.go
│ │ │ │ └── tables.go
│ │ │ ├── traditionalchinese/
│ │ │ │ ├── big5.go
│ │ │ │ ├── maketables.go
│ │ │ │ └── tables.go
│ │ │ └── unicode/
│ │ │ ├── override.go
│ │ │ └── unicode.go
│ │ ├── internal/
│ │ │ ├── tag/
│ │ │ │ └── tag.go
│ │ │ └── utf8internal/
│ │ │ └── utf8internal.go
│ │ ├── language/
│ │ │ ├── Makefile
│ │ │ ├── common.go
│ │ │ ├── coverage.go
│ │ │ ├── doc.go
│ │ │ ├── gen.go
│ │ │ ├── gen_common.go
│ │ │ ├── gen_index.go
│ │ │ ├── go1_1.go
│ │ │ ├── go1_2.go
│ │ │ ├── index.go
│ │ │ ├── language.go
│ │ │ ├── lookup.go
│ │ │ ├── match.go
│ │ │ ├── parse.go
│ │ │ ├── tables.go
│ │ │ └── tags.go
│ │ ├── runes/
│ │ │ ├── cond.go
│ │ │ └── runes.go
│ │ ├── secure/
│ │ │ └── bidirule/
│ │ │ ├── bidirule.go
│ │ │ ├── bidirule10.0.0.go
│ │ │ └── bidirule9.0.0.go
│ │ ├── transform/
│ │ │ └── transform.go
│ │ └── unicode/
│ │ ├── bidi/
│ │ │ ├── bidi.go
│ │ │ ├── bracket.go
│ │ │ ├── core.go
│ │ │ ├── gen.go
│ │ │ ├── gen_ranges.go
│ │ │ ├── gen_trieval.go
│ │ │ ├── prop.go
│ │ │ ├── tables10.0.0.go
│ │ │ ├── tables9.0.0.go
│ │ │ └── trieval.go
│ │ └── norm/
│ │ ├── composition.go
│ │ ├── forminfo.go
│ │ ├── input.go
│ │ ├── iter.go
│ │ ├── maketables.go
│ │ ├── normalize.go
│ │ ├── readwriter.go
│ │ ├── tables10.0.0.go
│ │ ├── tables9.0.0.go
│ │ ├── transform.go
│ │ ├── trie.go
│ │ └── triegen.go
│ ├── google.golang.org/
│ │ ├── genproto/
│ │ │ ├── LICENSE
│ │ │ └── googleapis/
│ │ │ └── rpc/
│ │ │ └── status/
│ │ │ └── status.pb.go
│ │ └── grpc/
│ │ ├── .travis.yml
│ │ ├── AUTHORS
│ │ ├── CODE-OF-CONDUCT.md
│ │ ├── CONTRIBUTING.md
│ │ ├── GOVERNANCE.md
│ │ ├── LICENSE
│ │ ├── MAINTAINERS.md
│ │ ├── Makefile
│ │ ├── README.md
│ │ ├── backoff.go
│ │ ├── balancer/
│ │ │ ├── balancer.go
│ │ │ ├── base/
│ │ │ │ ├── balancer.go
│ │ │ │ └── base.go
│ │ │ └── roundrobin/
│ │ │ └── roundrobin.go
│ │ ├── balancer.go
│ │ ├── balancer_conn_wrappers.go
│ │ ├── balancer_v1_wrapper.go
│ │ ├── binarylog/
│ │ │ └── grpc_binarylog_v1/
│ │ │ └── binarylog.pb.go
│ │ ├── call.go
│ │ ├── clientconn.go
│ │ ├── codec.go
│ │ ├── codegen.sh
│ │ ├── codes/
│ │ │ ├── code_string.go
│ │ │ └── codes.go
│ │ ├── connectivity/
│ │ │ └── connectivity.go
│ │ ├── credentials/
│ │ │ ├── credentials.go
│ │ │ ├── internal/
│ │ │ │ ├── syscallconn.go
│ │ │ │ └── syscallconn_appengine.go
│ │ │ └── tls13.go
│ │ ├── dialoptions.go
│ │ ├── doc.go
│ │ ├── encoding/
│ │ │ ├── encoding.go
│ │ │ └── proto/
│ │ │ └── proto.go
│ │ ├── go.mod
│ │ ├── go.sum
│ │ ├── grpclog/
│ │ │ ├── grpclog.go
│ │ │ ├── logger.go
│ │ │ └── loggerv2.go
│ │ ├── install_gae.sh
│ │ ├── interceptor.go
│ │ ├── internal/
│ │ │ ├── backoff/
│ │ │ │ └── backoff.go
│ │ │ ├── balancerload/
│ │ │ │ └── load.go
│ │ │ ├── binarylog/
│ │ │ │ ├── binarylog.go
│ │ │ │ ├── binarylog_testutil.go
│ │ │ │ ├── env_config.go
│ │ │ │ ├── method_logger.go
│ │ │ │ ├── regenerate.sh
│ │ │ │ ├── sink.go
│ │ │ │ └── util.go
│ │ │ ├── channelz/
│ │ │ │ ├── funcs.go
│ │ │ │ ├── types.go
│ │ │ │ ├── types_linux.go
│ │ │ │ ├── types_nonlinux.go
│ │ │ │ ├── util_linux.go
│ │ │ │ └── util_nonlinux.go
│ │ │ ├── envconfig/
│ │ │ │ └── envconfig.go
│ │ │ ├── grpcrand/
│ │ │ │ └── grpcrand.go
│ │ │ ├── grpcsync/
│ │ │ │ └── event.go
│ │ │ ├── internal.go
│ │ │ ├── syscall/
│ │ │ │ ├── syscall_linux.go
│ │ │ │ └── syscall_nonlinux.go
│ │ │ └── transport/
│ │ │ ├── bdp_estimator.go
│ │ │ ├── controlbuf.go
│ │ │ ├── defaults.go
│ │ │ ├── flowcontrol.go
│ │ │ ├── handler_server.go
│ │ │ ├── http2_client.go
│ │ │ ├── http2_server.go
│ │ │ ├── http_util.go
│ │ │ ├── log.go
│ │ │ └── transport.go
│ │ ├── keepalive/
│ │ │ └── keepalive.go
│ │ ├── metadata/
│ │ │ └── metadata.go
│ │ ├── naming/
│ │ │ ├── dns_resolver.go
│ │ │ └── naming.go
│ │ ├── peer/
│ │ │ └── peer.go
│ │ ├── picker_wrapper.go
│ │ ├── pickfirst.go
│ │ ├── preloader.go
│ │ ├── proxy.go
│ │ ├── resolver/
│ │ │ ├── dns/
│ │ │ │ └── dns_resolver.go
│ │ │ ├── passthrough/
│ │ │ │ └── passthrough.go
│ │ │ └── resolver.go
│ │ ├── resolver_conn_wrapper.go
│ │ ├── rpc_util.go
│ │ ├── server.go
│ │ ├── service_config.go
│ │ ├── serviceconfig/
│ │ │ └── serviceconfig.go
│ │ ├── stats/
│ │ │ ├── handlers.go
│ │ │ └── stats.go
│ │ ├── status/
│ │ │ └── status.go
│ │ ├── stream.go
│ │ ├── tap/
│ │ │ └── tap.go
│ │ ├── trace.go
│ │ ├── version.go
│ │ └── vet.sh
│ ├── gopkg.in/
│ │ ├── fsnotify.v1/
│ │ │ ├── .editorconfig
│ │ │ ├── .gitignore
│ │ │ ├── .travis.yml
│ │ │ ├── AUTHORS
│ │ │ ├── CHANGELOG.md
│ │ │ ├── CONTRIBUTING.md
│ │ │ ├── LICENSE
│ │ │ ├── README.md
│ │ │ ├── fen.go
│ │ │ ├── fsnotify.go
│ │ │ ├── inotify.go
│ │ │ ├── inotify_poller.go
│ │ │ ├── kqueue.go
│ │ │ ├── open_mode_bsd.go
│ │ │ ├── open_mode_darwin.go
│ │ │ └── windows.go
│ │ ├── tomb.v1/
│ │ │ ├── LICENSE
│ │ │ ├── README.md
│ │ │ └── tomb.go
│ │ └── yaml.v2/
│ │ ├── .travis.yml
│ │ ├── LICENSE
│ │ ├── LICENSE.libyaml
│ │ ├── NOTICE
│ │ ├── README.md
│ │ ├── apic.go
│ │ ├── decode.go
│ │ ├── emitterc.go
│ │ ├── encode.go
│ │ ├── go.mod
│ │ ├── parserc.go
│ │ ├── readerc.go
│ │ ├── resolve.go
│ │ ├── scannerc.go
│ │ ├── sorter.go
│ │ ├── writerc.go
│ │ ├── yaml.go
│ │ ├── yamlh.go
│ │ └── yamlprivateh.go
│ └── modules.txt
├── release_notes/
│ ├── v0.1.0.md
│ ├── v0.2.0.md
│ ├── v0.3.0.md
│ └── v0.4.0.md
└── scripts/
├── changelog.sh
├── check_license.sh
├── check_spelling.sh
├── golinter.sh
└── run-integration-tests.sh
================================================
FILE CONTENTS
================================================
================================================
FILE: .github/pull_request_template.md
================================================
Thank you for contributing to the `fabric-chaincode-evm` project!
Please look at our [Contributions Docs](../README.md#Contributions) and make
sure you have done the following before submitting:
* [ ] Ran the basic checks: `make basic-checks`
* [ ] Ran the unit tests: `make unit-test`
* [ ] Ran the integration tests: `make integration-test`
* [ ] Added the associated JIRA ticket number in the commit message title
* [ ] Link to the JIRA Ticket: https://jira.hyperledger.org/browse/FABCE-
If you do not have a corresponding JIRA ticket, please open one in the
[Hyperledger JIRA](https://jira.hyperledger.org/projects/FABCE/issues)
in the Fabric Chaincode EVM (FABCE) project. In the JIRA ticket,
include use cases, design and other information useful to
understanding why you are making this pull request.
If you have any questions please feel free to ask in the #fabric-evm channel
on the [Hyperledger Chat](https://chat.hyperledger.org/channel/fabric-evm).
Thanks again for your contribution!
================================================
FILE: .github/settings.yml
================================================
#
# SPDX-License-Identifier: Apache-2.0
#
repository:
name: fabric-chaincode-evm
description: null
homepage: https://wiki.hyperledger.org/display/fabric
default_branch: main
has_downloads: true
has_issues: false
has_projects: false
has_wiki: false
archived: true
private: false
allow_squash_merge: true
allow_merge_commit: false
allow_rebase_merge: true
================================================
FILE: .github/stale.yml
================================================
# SPDX-License-Identifier: Apache-2.0
# Number of days of inactivity before an issue becomes stale
daysUntilStale: 7
# Number of days of inactivity before a stale issue is closed
daysUntilClose: 14
# Issues with these labels will never be considered stale
# CAUTION: These issues are likely to get _less_ attention since stale bot
# will never nag anyone about them. Stale bot just reflects the community's
# actual priorities and adding labels to this list will not change that.
# If issues you care about are going stale, you need to work with the
# community to raise their profile, e.g. add more information, reach out on
# Rocket.Chat, join a community call, etc.
# WARNING: Please do not change these labels without seeking community
# consensus first!
# Label to use when marking an issue as stale
staleLabel: stale
only: pulls
# Comment to post when marking an issue as stale. Set to `false` to disable
markComment: false
# Comment to post when closing a stale issue. Set to `false` to disable
closeComment: false
================================================
FILE: .gitignore
================================================
#SPDX-License-Identifier: Apache-2.0
# Local build binaries
node-cli/node-cli
*.pyc
/bin
docs/build/*
examples/e2e_cli/docker-compose-e2e.yamlt
.idea
*.iml
.DS_Store
tags
.tags
.vagrant/
/.build
/release/darwin-amd64
/release/linux-amd64
/release/linux-s390x
/release/linux-ppc64le
/release/windows-amd64
# Emacs backup files
*~
*#
.#*
# Vim file artifacts
.*.sw*
# Makefile dummy artifacts
.*-dummy
# log files
*.log
# code coverage
*.cov
# ginkgo auto generated coverage reports
*.coverprofile
go-carpet-coverage*
# Test result xml files
report.xml
results.xml
TESTS*.xml
.settings
.project
.gradle
bin/
examples/e2e_cli/channel-artifacts/*.tx
examples/e2e_cli/channel-artifacts/*.block
examples/e2e_cli/crypto-config/*
# tox
.tox/
# vscode settings
.vscode
# Node artifacts from installing web3 for integration tests
node_modules
package-lock.json
================================================
FILE: CHANGELOG.md
================================================
## v0.4.0
Fri Dec 20 16:24:29 PST 2019
* [361ed2d](https://github.com/hyperledger/fabric-chaincode-evm/commit/361ed2d) [FABCE-145](https://jira.hyperledger.org/browse/FABCE-145) update README for 0.4.0 release
* [bf3fbd5](https://github.com/hyperledger/fabric-chaincode-evm/commit/bf3fbd5) [FAB-16919](https://jira.hyperledger.org/browse/FAB-16919) Remove scripts/goListFiles.sh
* [0ed01b6](https://github.com/hyperledger/fabric-chaincode-evm/commit/0ed01b6) [FAB-17053](https://jira.hyperledger.org/browse/FAB-17053) Switch Fab3 and Integration to Go Mod
* [0476cc1](https://github.com/hyperledger/fabric-chaincode-evm/commit/0476cc1) [FAB-17053](https://jira.hyperledger.org/browse/FAB-17053) Switch EVMCC to go modules
* [3dae2db](https://github.com/hyperledger/fabric-chaincode-evm/commit/3dae2db) [FAB-16918](https://jira.hyperledger.org/browse/FAB-16918) Restructure evmcc directory
* [b1cdfe0](https://github.com/hyperledger/fabric-chaincode-evm/commit/b1cdfe0) [FAB-16620](https://jira.hyperledger.org/browse/FAB-16620) HexEncode Event Name for contract create
* [8378f2f](https://github.com/hyperledger/fabric-chaincode-evm/commit/8378f2f) [FAB-16727](https://jira.hyperledger.org/browse/FAB-16727) Lowercase address in filters
* [5ce150c](https://github.com/hyperledger/fabric-chaincode-evm/commit/5ce150c) [FAB-16693](https://jira.hyperledger.org/browse/FAB-16693) Add Github PR Template
* [e327cab](https://github.com/hyperledger/fabric-chaincode-evm/commit/e327cab) Add default SECURITY policy
* [c8d208e](https://github.com/hyperledger/fabric-chaincode-evm/commit/c8d208e) [FAB-16697](https://jira.hyperledger.org/browse/FAB-16697) remove linters
* [c19796e](https://github.com/hyperledger/fabric-chaincode-evm/commit/c19796e) [FAB-16677](https://jira.hyperledger.org/browse/FAB-16677) Update Contributions Instructions
* [a697b37](https://github.com/hyperledger/fabric-chaincode-evm/commit/a697b37) [FAB-16692](https://jira.hyperledger.org/browse/FAB-16692) Remove jenkins pipeline files
* [5df7e55](https://github.com/hyperledger/fabric-chaincode-evm/commit/5df7e55) [FAB-16683](https://jira.hyperledger.org/browse/FAB-16683) Create AZP YAML File
* [1c384c4](https://github.com/hyperledger/fabric-chaincode-evm/commit/1c384c4) De-fang stalebot
* [efde49b](https://github.com/hyperledger/fabric-chaincode-evm/commit/efde49b) [FAB-15233](https://jira.hyperledger.org/browse/FAB-15233) add gasLimit to block return values
* [0793388](https://github.com/hyperledger/fabric-chaincode-evm/commit/0793388) [FAB-14617](https://jira.hyperledger.org/browse/FAB-14617) GetBlockByNumber omits invalid transactions
* [d944e0f](https://github.com/hyperledger/fabric-chaincode-evm/commit/d944e0f) [FAB-14067](https://jira.hyperledger.org/browse/FAB-14067) NewFilter & UninstallFilter
* [89b50d3](https://github.com/hyperledger/fabric-chaincode-evm/commit/89b50d3) [FAB-14651](https://jira.hyperledger.org/browse/FAB-14651) improve fab3 building instructions
* [6d8e0dd](https://github.com/hyperledger/fabric-chaincode-evm/commit/6d8e0dd) [FAB-16519](https://jira.hyperledger.org/browse/FAB-16519) clean calls existing gotools-clean target
* [f1b1d8d](https://github.com/hyperledger/fabric-chaincode-evm/commit/f1b1d8d) [FAB-16489](https://jira.hyperledger.org/browse/FAB-16489) Add CODEOWNERS
* [2c0ce40](https://github.com/hyperledger/fabric-chaincode-evm/commit/2c0ce40) [FAB-16491](https://jira.hyperledger.org/browse/FAB-16491) update dep to 0.5.4
* [2e9caa1](https://github.com/hyperledger/fabric-chaincode-evm/commit/2e9caa1) [FAB-16433](https://jira.hyperledger.org/browse/FAB-16433) Fix formatting in Fab3 Instructions
* [a2cb62a](https://github.com/hyperledger/fabric-chaincode-evm/commit/a2cb62a) [FAB-16434](https://jira.hyperledger.org/browse/FAB-16434) Remove ansicolor plugin changes
## v0.3.0
Fri Aug 2 11:33:17 PDT 2019
* [cc42f84](https://github.com/hyperledger/fabric-chaincode-evm/commit/cc42f84) [FAB-15280](https://jira.hyperledger.org/browse/FAB-15280) Allow contracts to create contract
* [65744e8](https://github.com/hyperledger/fabric-chaincode-evm/commit/65744e8) [FAB-16186](https://jira.hyperledger.org/browse/FAB-16186) Update transaction fields in docs
* [5dac5ed](https://github.com/hyperledger/fabric-chaincode-evm/commit/5dac5ed) [FAB-16185](https://jira.hyperledger.org/browse/FAB-16185) Update NetworkID in docs
* [1fe9b08](https://github.com/hyperledger/fabric-chaincode-evm/commit/1fe9b08) [FAB-16188](https://jira.hyperledger.org/browse/FAB-16188) Marshal Block based on txns type
* [d00408e](https://github.com/hyperledger/fabric-chaincode-evm/commit/d00408e) [FAB-16039](https://jira.hyperledger.org/browse/FAB-16039) NetworkID should be less than 53 bits
* [8e04bdd](https://github.com/hyperledger/fabric-chaincode-evm/commit/8e04bdd) [FAB-15842](https://jira.hyperledger.org/browse/FAB-15842) Net Version returns a quantity
* [95f9f8a](https://github.com/hyperledger/fabric-chaincode-evm/commit/95f9f8a) [FAB-14069](https://jira.hyperledger.org/browse/FAB-14069) Rename addressgenerator pkg to be address
* [88201c5](https://github.com/hyperledger/fabric-chaincode-evm/commit/88201c5) [FAB-14069](https://jira.hyperledger.org/browse/FAB-14069) create address generation package
* [a925da0](https://github.com/hyperledger/fabric-chaincode-evm/commit/a925da0) [FAB-15843](https://jira.hyperledger.org/browse/FAB-15843) Transaction has GasPrice and Value
* [2a9ed44](https://github.com/hyperledger/fabric-chaincode-evm/commit/2a9ed44) [FAB-15272](https://jira.hyperledger.org/browse/FAB-15272) Minor code edit
* [b79d2b1](https://github.com/hyperledger/fabric-chaincode-evm/commit/b79d2b1) [FAB-15281](https://jira.hyperledger.org/browse/FAB-15281) Contract Addr is null when empty
* [18086fa](https://github.com/hyperledger/fabric-chaincode-evm/commit/18086fa) [FAB-15154](https://jira.hyperledger.org/browse/FAB-15154) update fabric-go-sdk dep
* [20bb52d](https://github.com/hyperledger/fabric-chaincode-evm/commit/20bb52d) [FAB-13600](https://jira.hyperledger.org/browse/FAB-13600) Add eth_getTransactionCount
* [a3dc85f](https://github.com/hyperledger/fabric-chaincode-evm/commit/a3dc85f) [FAB-14652](https://jira.hyperledger.org/browse/FAB-14652) Add Table of Contents
* [b8b9c18](https://github.com/hyperledger/fabric-chaincode-evm/commit/b8b9c18) [FAB-14868](https://jira.hyperledger.org/browse/FAB-14868) Update pipeline scripts
* [42e7f80](https://github.com/hyperledger/fabric-chaincode-evm/commit/42e7f80) [FAB-15116](https://jira.hyperledger.org/browse/FAB-15116) update mocks
## v0.2.0
Mon Apr 8 20:58:07 PDT 2019
* [8de03f8](https://github.com/hyperledger/fabric-chaincode-evm/commit/8de03f8) [FAB-14837](https://jira.hyperledger.org/browse/FAB-14837) Release v0.2
* [b1f36a6](https://github.com/hyperledger/fabric-chaincode-evm/commit/b1f36a6) [FAB-14649](https://jira.hyperledger.org/browse/FAB-14649) Add EndToEnd diagram to README
* [a02855c](https://github.com/hyperledger/fabric-chaincode-evm/commit/a02855c) [FAB-14092](https://jira.hyperledger.org/browse/FAB-14092) getLogs blockhash argument implementation
* [57b3661](https://github.com/hyperledger/fabric-chaincode-evm/commit/57b3661) [FAB-15072](https://jira.hyperledger.org/browse/FAB-15072) eth_getLogs documentation
* [e76b141](https://github.com/hyperledger/fabric-chaincode-evm/commit/e76b141) [FAB-14021](https://jira.hyperledger.org/browse/FAB-14021) implement topic filters
* [be13643](https://github.com/hyperledger/fabric-chaincode-evm/commit/be13643) [FAB-14864](https://jira.hyperledger.org/browse/FAB-14864) change ginkgo flags used for unit-test
* [413ebda](https://github.com/hyperledger/fabric-chaincode-evm/commit/413ebda) [FAB-14020](https://jira.hyperledger.org/browse/FAB-14020) address filtering for GetLogs
* [3c5deb9](https://github.com/hyperledger/fabric-chaincode-evm/commit/3c5deb9) [FAB-14213](https://jira.hyperledger.org/browse/FAB-14213) Add STATICCALL test
* [464c77d](https://github.com/hyperledger/fabric-chaincode-evm/commit/464c77d) [FAB-14213](https://jira.hyperledger.org/browse/FAB-14213) Update Burrow to 0.24.4
* [3cb2955](https://github.com/hyperledger/fabric-chaincode-evm/commit/3cb2955) [FAB-14798](https://jira.hyperledger.org/browse/FAB-14798) use new golint import
* [ddd84e2](https://github.com/hyperledger/fabric-chaincode-evm/commit/ddd84e2) [FAB-13630](https://jira.hyperledger.org/browse/FAB-13630) minimum eth_getLogs implementation
* [2c4c128](https://github.com/hyperledger/fabric-chaincode-evm/commit/2c4c128) [FAB-14636](https://jira.hyperledger.org/browse/FAB-14636) Add missing closing bracket
* [382477f](https://github.com/hyperledger/fabric-chaincode-evm/commit/382477f) [FAB-14043](https://jira.hyperledger.org/browse/FAB-14043) Clean up of fabricEventToEVMLogs
* [d44fedd](https://github.com/hyperledger/fabric-chaincode-evm/commit/d44fedd) [FAB-13740](https://jira.hyperledger.org/browse/FAB-13740) Update documentation and README
* [5d98164](https://github.com/hyperledger/fabric-chaincode-evm/commit/5d98164) [FAB-14452](https://jira.hyperledger.org/browse/FAB-14452) Update the flag documentation
* [211db70](https://github.com/hyperledger/fabric-chaincode-evm/commit/211db70) [FAB-14059](https://jira.hyperledger.org/browse/FAB-14059) Add Contribution information
* [135fc8e](https://github.com/hyperledger/fabric-chaincode-evm/commit/135fc8e) [FAB-14191](https://jira.hyperledger.org/browse/FAB-14191) Create httpserver in Fab3 constructor
* [badebf5](https://github.com/hyperledger/fabric-chaincode-evm/commit/badebf5) [FAB-14190](https://jira.hyperledger.org/browse/FAB-14190) Contract Address has "0x" prefix
* [8d1c5ae](https://github.com/hyperledger/fabric-chaincode-evm/commit/8d1c5ae) [FAB-14258](https://jira.hyperledger.org/browse/FAB-14258) getCode doesn't error on empty acct
* [857b62d](https://github.com/hyperledger/fabric-chaincode-evm/commit/857b62d) [FAB-14244](https://jira.hyperledger.org/browse/FAB-14244) Log messages should not use dashes
* [84342a3](https://github.com/hyperledger/fabric-chaincode-evm/commit/84342a3) [FAB-14301](https://jira.hyperledger.org/browse/FAB-14301) clear json unmarshal struct target
* [29fe032](https://github.com/hyperledger/fabric-chaincode-evm/commit/29fe032) [FAB-14244](https://jira.hyperledger.org/browse/FAB-14244) Fix logging in Fab3 main
* [23c9208](https://github.com/hyperledger/fabric-chaincode-evm/commit/23c9208) [FAB-14243](https://jira.hyperledger.org/browse/FAB-14243) Dial fab3 port before tests
* [e41187b](https://github.com/hyperledger/fabric-chaincode-evm/commit/e41187b) [FAB-14279](https://jira.hyperledger.org/browse/FAB-14279) Integration tests use simpler network
* [6f7056a](https://github.com/hyperledger/fabric-chaincode-evm/commit/6f7056a) [FAB-13284](https://jira.hyperledger.org/browse/FAB-13284) update golang dep to v0.5.0
* [641c6fb](https://github.com/hyperledger/fabric-chaincode-evm/commit/641c6fb) [FAB-14164](https://jira.hyperledger.org/browse/FAB-14164) move input and output structs to fab3/types
* [548b543](https://github.com/hyperledger/fabric-chaincode-evm/commit/548b543) [FAB-14034](https://jira.hyperledger.org/browse/FAB-14034) write down why reset the branch
* [a3f658d](https://github.com/hyperledger/fabric-chaincode-evm/commit/a3f658d) [FAB-14194](https://jira.hyperledger.org/browse/FAB-14194) Install only the necessary gotools
* [93048eb](https://github.com/hyperledger/fabric-chaincode-evm/commit/93048eb) [FAB-14043](https://jira.hyperledger.org/browse/FAB-14043) conditionally add data to output
* [2570de3](https://github.com/hyperledger/fabric-chaincode-evm/commit/2570de3) [FAB-14203](https://jira.hyperledger.org/browse/FAB-14203) Add Web3 integration tests to Fab3
* [e6c8fdf](https://github.com/hyperledger/fabric-chaincode-evm/commit/e6c8fdf) [FAB-14177](https://jira.hyperledger.org/browse/FAB-14177) check all errs in fab3 integration tests
* [eb940a3](https://github.com/hyperledger/fabric-chaincode-evm/commit/eb940a3) [FAB-13947](https://jira.hyperledger.org/browse/FAB-13947) Change fab3 output file in documentation
* [08a8c37](https://github.com/hyperledger/fabric-chaincode-evm/commit/08a8c37) [FAB-14034](https://jira.hyperledger.org/browse/FAB-14034) download counterfeiter
* [ad60dda](https://github.com/hyperledger/fabric-chaincode-evm/commit/ad60dda) [FAB-14055](https://jira.hyperledger.org/browse/FAB-14055) CC-evm make fails if GOPATH contains >1 el
* [9d45323](https://github.com/hyperledger/fabric-chaincode-evm/commit/9d45323) [FAB-14038](https://jira.hyperledger.org/browse/FAB-14038) log to ginkgowriter
* [f8c8925](https://github.com/hyperledger/fabric-chaincode-evm/commit/f8c8925) [FAB-14060](https://jira.hyperledger.org/browse/FAB-14060) set empty environment during test
* [df0dd75](https://github.com/hyperledger/fabric-chaincode-evm/commit/df0dd75) [FAB-14039](https://jira.hyperledger.org/browse/FAB-14039) Update examples to use FAB3_PORT
* [4fbf01c](https://github.com/hyperledger/fabric-chaincode-evm/commit/4fbf01c) [FAB-13585](https://jira.hyperledger.org/browse/FAB-13585) Implement eth_BlockNumber
* [f79ebff](https://github.com/hyperledger/fabric-chaincode-evm/commit/f79ebff) [FAB-13065](https://jira.hyperledger.org/browse/FAB-13065) Fab3 exits gracefully on exit
* [95b572b](https://github.com/hyperledger/fabric-chaincode-evm/commit/95b572b) [FAB-13385](https://jira.hyperledger.org/browse/FAB-13385) fab3 can be configured with flags
* [515498f](https://github.com/hyperledger/fabric-chaincode-evm/commit/515498f) [FAB-13903](https://jira.hyperledger.org/browse/FAB-13903) typo in getting deployed contract address
* [00cf19a](https://github.com/hyperledger/fabric-chaincode-evm/commit/00cf19a) [FAB-13384](https://jira.hyperledger.org/browse/FAB-13384) Rename all references of fabproxy to fab3.
* [58f25fb](https://github.com/hyperledger/fabric-chaincode-evm/commit/58f25fb) [FAB-13102](https://jira.hyperledger.org/browse/FAB-13102) implement burrow EventSink for fabric backend
* [3c697d4](https://github.com/hyperledger/fabric-chaincode-evm/commit/3c697d4) [FAB-13102](https://jira.hyperledger.org/browse/FAB-13102) Update burrow to 0.23.3
* [76335b5](https://github.com/hyperledger/fabric-chaincode-evm/commit/76335b5) [FAB-13851](https://jira.hyperledger.org/browse/FAB-13851) avoid printing during unit-tests
* [3b1ab16](https://github.com/hyperledger/fabric-chaincode-evm/commit/3b1ab16) [FAB-13628](https://jira.hyperledger.org/browse/FAB-13628) Release fabric-chaincode-evm v0.1.0
* [e6ed45b](https://github.com/hyperledger/fabric-chaincode-evm/commit/e6ed45b) [FAB-13576](https://jira.hyperledger.org/browse/FAB-13576) integration tests timeouts
* [fdacdd2](https://github.com/hyperledger/fabric-chaincode-evm/commit/fdacdd2) [FAB-10787](https://jira.hyperledger.org/browse/FAB-10787) Integration tests for events
## 0.1.0
Thu Jan 10 14:38:02 PST 2019
* [1aa2e0f](https://github.com/hyperledger/fabric-chaincode-evm/commit/1aa2e0f) [FAB-13628](https://jira.hyperledger.org/browse/FAB-13628) Release fabric-chaincode-evm v0.1.0
* [7342ad3](https://github.com/hyperledger/fabric-chaincode-evm/commit/7342ad3) [FAB-13263](https://jira.hyperledger.org/browse/FAB-13263) Update Fabric dependency to 1.4
* [7d7ccb9](https://github.com/hyperledger/fabric-chaincode-evm/commit/7d7ccb9) [FAB-13168](https://jira.hyperledger.org/browse/FAB-13168) Cleanup Makefile and scripts
* [97cb415](https://github.com/hyperledger/fabric-chaincode-evm/commit/97cb415) [FAB-13435](https://jira.hyperledger.org/browse/FAB-13435) Rename job name in Jenkinsfile
* [61bb885](https://github.com/hyperledger/fabric-chaincode-evm/commit/61bb885) [FAB-13435](https://jira.hyperledger.org/browse/FAB-13435) Update pipeline CI script on cc-evm
* [5f6f073](https://github.com/hyperledger/fabric-chaincode-evm/commit/5f6f073) Configure Stale ProBot
* [719a4f6](https://github.com/hyperledger/fabric-chaincode-evm/commit/719a4f6) [FAB-11081](https://jira.hyperledger.org/browse/FAB-11081) check marshaled json for eth RPC fields
* [94d314d](https://github.com/hyperledger/fabric-chaincode-evm/commit/94d314d) [FAB-13285](https://jira.hyperledger.org/browse/FAB-13285) Switch logger.Fatal to fmt.Print
* [6bb8493](https://github.com/hyperledger/fabric-chaincode-evm/commit/6bb8493) [FAB-10789](https://jira.hyperledger.org/browse/FAB-10789) EVM bytecode events are emitted
* [b5144f7](https://github.com/hyperledger/fabric-chaincode-evm/commit/b5144f7) [FAB-7983](https://jira.hyperledger.org/browse/FAB-7983) add and use zap logger
* [788a84d](https://github.com/hyperledger/fabric-chaincode-evm/commit/788a84d) [FAB-13106](https://jira.hyperledger.org/browse/FAB-13106) Update Fabric dependency to v1.3.0
* [c94adff](https://github.com/hyperledger/fabric-chaincode-evm/commit/c94adff) [FAB-11080](https://jira.hyperledger.org/browse/FAB-11080) Extend transaction receipt & refactor
* [867f3bf](https://github.com/hyperledger/fabric-chaincode-evm/commit/867f3bf) [FAB-13063](https://jira.hyperledger.org/browse/FAB-13063) basic build and clean
* [c56d7ec](https://github.com/hyperledger/fabric-chaincode-evm/commit/c56d7ec) [FAB-12903](https://jira.hyperledger.org/browse/FAB-12903) Allow contract to contract invocations
* [b354ec4](https://github.com/hyperledger/fabric-chaincode-evm/commit/b354ec4) [FAB-13101](https://jira.hyperledger.org/browse/FAB-13101) Consolidate long eventual timeout in tests
* [378fb88](https://github.com/hyperledger/fabric-chaincode-evm/commit/378fb88) update Morgan Bauer contact information
* [3219f63](https://github.com/hyperledger/fabric-chaincode-evm/commit/3219f63) [FAB-10374](https://jira.hyperledger.org/browse/FAB-10374) dep config to not prune ginkgo
* [06e4ebc](https://github.com/hyperledger/fabric-chaincode-evm/commit/06e4ebc) [FAB-11082](https://jira.hyperledger.org/browse/FAB-11082) full transactions for GetBlockByNumber
* [e9600df](https://github.com/hyperledger/fabric-chaincode-evm/commit/e9600df) [FAB-11081](https://jira.hyperledger.org/browse/FAB-11081) web3 integration tests
* [7a24ab4](https://github.com/hyperledger/fabric-chaincode-evm/commit/7a24ab4) FABCI-205 Build notifications to RocketChat
* [657467f](https://github.com/hyperledger/fabric-chaincode-evm/commit/657467f) [FAB-11081](https://jira.hyperledger.org/browse/FAB-11081) Add web3 integration tests
* [8ff5d79](https://github.com/hyperledger/fabric-chaincode-evm/commit/8ff5d79) [FAB-10374](https://jira.hyperledger.org/browse/FAB-10374) run all basic checks in jenkins
* [302e06e](https://github.com/hyperledger/fabric-chaincode-evm/commit/302e06e) [FAB-12683](https://jira.hyperledger.org/browse/FAB-12683) remove plugin references from README
* [1395119](https://github.com/hyperledger/fabric-chaincode-evm/commit/1395119) [FAB-11082](https://jira.hyperledger.org/browse/FAB-11082) implement eth_getTransactionByHash
* [2dcd448](https://github.com/hyperledger/fabric-chaincode-evm/commit/2dcd448) [FAB-10374](https://jira.hyperledger.org/browse/FAB-10374) add more flags to ginkgo runs
* [50743b7](https://github.com/hyperledger/fabric-chaincode-evm/commit/50743b7) [FAB-11082](https://jira.hyperledger.org/browse/FAB-11082) implement eth_getblockbynumber
* [891549a](https://github.com/hyperledger/fabric-chaincode-evm/commit/891549a) [FAB-11081](https://jira.hyperledger.org/browse/FAB-11081) Add fab3 integration tests
* [f478c99](https://github.com/hyperledger/fabric-chaincode-evm/commit/f478c99) Add Morgan Bauer as chaincode-evm maintainer
* [54494ed](https://github.com/hyperledger/fabric-chaincode-evm/commit/54494ed) [FAB-12480](https://jira.hyperledger.org/browse/FAB-12480) bump baseimage to 0.4.13
* [cf97461](https://github.com/hyperledger/fabric-chaincode-evm/commit/cf97461) [FAB-11081](https://jira.hyperledger.org/browse/FAB-11081) Use ginkgo in running tests
* [deb8a86](https://github.com/hyperledger/fabric-chaincode-evm/commit/deb8a86) [FAB-11081](https://jira.hyperledger.org/browse/FAB-11081) Move e2e tests into separate dir
* [0846767](https://github.com/hyperledger/fabric-chaincode-evm/commit/0846767) [FAB-12326](https://jira.hyperledger.org/browse/FAB-12326) Update CI script to install nodejs
* [7ce40d3](https://github.com/hyperledger/fabric-chaincode-evm/commit/7ce40d3) [FAB-11080](https://jira.hyperledger.org/browse/FAB-11080) BlockNumber should be hex encoded
* [2160999](https://github.com/hyperledger/fabric-chaincode-evm/commit/2160999) [FAB-11080](https://jira.hyperledger.org/browse/FAB-11080) Update README and add example
* [e5eba5c](https://github.com/hyperledger/fabric-chaincode-evm/commit/e5eba5c) [FAB-11080](https://jira.hyperledger.org/browse/FAB-11080) struct tags for proper json case output
* [2221bba](https://github.com/hyperledger/fabric-chaincode-evm/commit/2221bba) [FAB-11082](https://jira.hyperledger.org/browse/FAB-11082) implement eth_getBalance
* [920fd82](https://github.com/hyperledger/fabric-chaincode-evm/commit/920fd82) [FAB-11082](https://jira.hyperledger.org/browse/FAB-11082) annotation for regenerating mocks
* [44e412f](https://github.com/hyperledger/fabric-chaincode-evm/commit/44e412f) [FAB-11082](https://jira.hyperledger.org/browse/FAB-11082) bubble errors up to main
* [57f6194](https://github.com/hyperledger/fabric-chaincode-evm/commit/57f6194) [FAB-11082](https://jira.hyperledger.org/browse/FAB-11082) implement EstimateGas
* [b0ffdd7](https://github.com/hyperledger/fabric-chaincode-evm/commit/b0ffdd7) [FAB-10374](https://jira.hyperledger.org/browse/FAB-10374) Remove old e2e docker-compose tests
* [3683511](https://github.com/hyperledger/fabric-chaincode-evm/commit/3683511) [FAB-10374](https://jira.hyperledger.org/browse/FAB-10374) Switch integration tests to use ginkgo
* [1b5e571](https://github.com/hyperledger/fabric-chaincode-evm/commit/1b5e571) [FAB-11082](https://jira.hyperledger.org/browse/FAB-11082) add network rpc service
* [96ea951](https://github.com/hyperledger/fabric-chaincode-evm/commit/96ea951) [FAB-10374](https://jira.hyperledger.org/browse/FAB-10374) Add vendor dependencies
* [f83a7fe](https://github.com/hyperledger/fabric-chaincode-evm/commit/f83a7fe) [FAB-11083](https://jira.hyperledger.org/browse/FAB-11083) Add CORS support to the Proxy
* [b935805](https://github.com/hyperledger/fabric-chaincode-evm/commit/b935805) [FAB-11080](https://jira.hyperledger.org/browse/FAB-11080) MVP Fabproxy
* [4515d55](https://github.com/hyperledger/fabric-chaincode-evm/commit/4515d55) [FAB-11080](https://jira.hyperledger.org/browse/FAB-11080) Add dependencies needed for fabproxy
* [6e1d2f4](https://github.com/hyperledger/fabric-chaincode-evm/commit/6e1d2f4) [FAB-11658](https://jira.hyperledger.org/browse/FAB-11658) Encode storage keys
* [fabda63](https://github.com/hyperledger/fabric-chaincode-evm/commit/fabda63) [FAB-11507](https://jira.hyperledger.org/browse/FAB-11507) Remove build process
* [1d6e20d](https://github.com/hyperledger/fabric-chaincode-evm/commit/1d6e20d) [FAB-11513](https://jira.hyperledger.org/browse/FAB-11513) Add shim.Start to main
* [47bcb18](https://github.com/hyperledger/fabric-chaincode-evm/commit/47bcb18) FABCI-8 CI pipeline configuration
* [0fcb6c2](https://github.com/hyperledger/fabric-chaincode-evm/commit/0fcb6c2) [FAB-9730](https://jira.hyperledger.org/browse/FAB-9730) update README
* [298759f](https://github.com/hyperledger/fabric-chaincode-evm/commit/298759f) [FAB-10400](https://jira.hyperledger.org/browse/FAB-10400) add docker image to build
* [e0335d8](https://github.com/hyperledger/fabric-chaincode-evm/commit/e0335d8) [FAB-7742](https://jira.hyperledger.org/browse/FAB-7742) Add test cases for `account`
* [3ef2598](https://github.com/hyperledger/fabric-chaincode-evm/commit/3ef2598) [FAB-10373](https://jira.hyperledger.org/browse/FAB-10373) update baseimage version 0.4.8
* [24da74b](https://github.com/hyperledger/fabric-chaincode-evm/commit/24da74b) [FAB-10369](https://jira.hyperledger.org/browse/FAB-10369) Remove extraneous comments
* [5335ef0](https://github.com/hyperledger/fabric-chaincode-evm/commit/5335ef0) [FAB-10369](https://jira.hyperledger.org/browse/FAB-10369) Update Burrow dependency to 0.18.0
* [7c2f7f6](https://github.com/hyperledger/fabric-chaincode-evm/commit/7c2f7f6) [FAB-7749](https://jira.hyperledger.org/browse/FAB-7749) Add e2e example for evmscc.
* [53f4404](https://github.com/hyperledger/fabric-chaincode-evm/commit/53f4404) [FAB-9699](https://jira.hyperledger.org/browse/FAB-9699) add linters to makefile
* [d21c440](https://github.com/hyperledger/fabric-chaincode-evm/commit/d21c440) [FAB-8599](https://jira.hyperledger.org/browse/FAB-8599) Add makefile and build scripts.
* [9c94b80](https://github.com/hyperledger/fabric-chaincode-evm/commit/9c94b80) [FAB-7742](https://jira.hyperledger.org/browse/FAB-7742) Add dependencies for evmscc implementation.
* [6363946](https://github.com/hyperledger/fabric-chaincode-evm/commit/6363946) [FAB-7742](https://jira.hyperledger.org/browse/FAB-7742) Implement EVM chaincode as a scc plugin.
* [40beaee](https://github.com/hyperledger/fabric-chaincode-evm/commit/40beaee) [FAB-7747](https://jira.hyperledger.org/browse/FAB-7747) Implement Burrow state interfaces.
* [7a524ac](https://github.com/hyperledger/fabric-chaincode-evm/commit/7a524ac) [FAB-7747](https://jira.hyperledger.org/browse/FAB-7747) Vendor dependencies needed for statemanager
* [a12e22d](https://github.com/hyperledger/fabric-chaincode-evm/commit/a12e22d) [FAB-9360](https://jira.hyperledger.org/browse/FAB-9360) add CODE_OF_CONDUCT.md
* [677fb90](https://github.com/hyperledger/fabric-chaincode-evm/commit/677fb90) [FAB-9063](https://jira.hyperledger.org/browse/FAB-9063) Provide link to Fabric committers
* [7959197](https://github.com/hyperledger/fabric-chaincode-evm/commit/7959197) Gerrit/GitHub ID swap
* [6848b05](https://github.com/hyperledger/fabric-chaincode-evm/commit/6848b05) [FAB-7087](https://jira.hyperledger.org/browse/FAB-7087) initial commit
================================================
FILE: CODEOWNERS
================================================
# SPDX-License-Identifier: Apache-2.0
# Fabric Chaincode EVM maintainers
* @hyperledger/fabric-chaincode-evm-maintainers
================================================
FILE: CODE_OF_CONDUCT.md
================================================
Code of Conduct Guidelines
==========================
Please review the Hyperledger [Code of
Conduct](https://wiki.hyperledger.org/community/hyperledger-project-code-of-conduct)
before participating. It is important that we keep things civil.
This work is licensed under a Creative Commons Attribution 4.0 International License.
================================================
FILE: CONTRIBUTING.md
================================================
# Contributions Welcome!
This repository is part of the Fabric project.
Please consult [Fabric's CONTRIBUTING documentation](http://hyperledger-fabric.readthedocs.io/en/latest/CONTRIBUTING.html) for information on how to contribute to this repository.
We will follow [Fabric's Go Coding Guidelines](https://hyperledger-fabric.readthedocs.io/en/main/style-guides/go-style.html).
This work is licensed under a Creative Commons Attribution 4.0 International License
================================================
FILE: Fab3_Instructions.md
================================================
# Fab3 Instruction Set
Fab3 is a partial implementation of the [Ethereum JSON RPC API](https://github.com/ethereum/wiki/wiki/JSON-RPC).
Requests are expected in the following format and must always have a POST header.
```
curl http://127.0.0.1:5000 -X POST -H "Content-Type:application/json" -d '{
"jsonrpc":"2.0",
"method": ,
"id":,
"params":
}'
```
The examples below use a SimpleStorage contract.
Fab3 currently supports:
- [net_version](#net_version)
- [eth_getCode](#eth_getCode)
- [eth_call](#eth_call)
- [eth_sendTransaction](#eth_sendTransaction)
- [eth_accounts](#eth_accounts)
- [eth_estimateGas](#eth_estimateGas)
- [eth_getBalance](#eth_getBalance)
- [eth_getBlockByNumber](#eth_getBlockByNumber)
- [eth_blockNumber](#eth_blockNumber)
- [eth_getTransactionByHash](#eth_getTransactionByHash)
- [eth_getTransactionReceipt](#eth_getTransactionReceipt)
- [eth_getLogs](#eth_getLogs)
- [eth_getTransactionCount](#eth_getTransactionCount)
### net_version
`net_version` always returns the string `66616265766d`, which is the hex encoding
of `fabevm`. According to the spec, [net_version](https://github.com/ethereum/wiki/wiki/JSON-RPC#net_version)
does not take any parameters.
**Example**
```
curl http://127.0.0.1:5000 -X POST -H "Content-Type:application/json" -d '{
"jsonrpc":"2.0",
"method": "net_version",
"id":1,
"params":[]
}'
{"jsonrpc":"2.0","result":"66616265766d","id":1}
```
### eth_getCode
`eth_getCode` returns the runtime bytecode of the provided contract address.
According to the spec, [getCode](https://github.com/ethereum/wiki/wiki/JSON-RPC#eth_getcode)
takes in two arguments, the first is the contract address and the second is the
block number specifying the state of the ledger to run the query.
Fab3 does not support querying the state at a certain point in the ledger so the
second argument, if provided, will be ignored. Only the first argument, the
contract address, is required and honored by fab3.
**Example**
```
curl http://127.0.0.1:5000 -X POST -H "Content-Type:application/json" -d '{
"jsonrpc":"2.0",
"method": "eth_getCode",
"id":1,
"params":["0x40421fd8b64e91da48e703ea1daa488b44ff9d16"]
}'
{"jsonrpc":"2.0","result":"6080604052600436106043576000357c01000000000000000000000000000000000000000000000000000000009004806360fe47b11460485780636d4ce63c14607f575b600080fd5b348015605357600080fd5b50607d60048036036020811015606857600080fd5b810190808035906020019092919050505060a7565b005b348015608a57600080fd5b50609160b1565b6040518082815260200191505060405180910390f35b8060008190555050565b6000805490509056fea165627a7a72305820290b24d16ffaf96310c5e236cef6f8bd81744b72beaeae1ca817d9372b69c2ba0029","id":1}
```
### eth_call
`eth_call` queries the deployed EVMCC and simulates the transaction associated
with the specified parameters. According to the spec, [call](https://github.com/ethereum/wiki/wiki/JSON-RPC#eth_call)
takes in two arguments, the first is an object specifying the parameters of the
transaction and the second is the block number specifying the state of the
ledger to run the query against.
Only the first object is required and honored by fab3. The fields `to`, `data`
are the only fields that are required in the object and the rest are ignored if
provided.
**Example**
```
curl http://127.0.0.1:5000 -X POST -H "Content-Type:application/json" -d '{
"jsonrpc":"2.0",
"method": "eth_call",
"id":1,
"params":[{"to":"0x40421fd8b64e91da48e703ea1daa488b44ff9d16", "data":"0x6d4ce63c"}]
}'
{"jsonrpc":"2.0","result":"0x000000000000000000000000000000000000000000000000000000000000000a","id":1}
```
### eth_sendTransaction
`eth_sendTransaction` submits a transaction to the EVMCC with the specified
parameters. According to the spec, [sendTransaction](https://github.com/ethereum/wiki/wiki/JSON-RPC#eth_sendtransaction)
takes an object specifying the parameters of the transaction. The fields `to`,
`data` are the only fields that are required in the object and the rest are
ignored if provided. The Fabric transaction id associated to the transaction is
returned.
**Example**
```
curl http://127.0.0.1:5000 -X POST -H "Content-Type:application/json" -d '{
"jsonrpc":"2.0",
"method": "eth_sendTransaction",
"id":1,
"params":[
{"to":"0x40421fd8b64e91da48e703ea1daa488b44ff9d16",
"data":"0x60fe47b1000000000000000000000000000000000000000000000000000000000000000f"}]
}'
{"jsonrpc":"2.0","result":"9807a7ff4ed1962e9414b04f9dec7e05112382a6d826b7e64628fb7f12632dc5","id":1}
```
### eth_accounts
`eth_accounts` queries the EVMCC for the address that is generated from the user
associated to the fab3 instance. The return value will always only have one
address. According to the spec, [accounts](https://github.com/ethereum/wiki/wiki/JSON-RPC#eth_accounts)
does not take any parameters. Note that the returned address is generated on the fly
by the EVMCC and is not stored in the ledger. This should not affect Ethereum
smart contract execution. If a contract stores a user account, it will be
stored under that contract's data.
**Example**
```
curl http://127.0.0.1:5000 -X POST -H "Content-Type:application/json" -d '{
"jsonrpc":"2.0",
"method": "eth_accounts",
"id":1,
"params":[]
}'
{"jsonrpc":"2.0","result":["0x564fbd2e6e26ca8dbbac758f9253dd80d90974b6"],"id":1}
```
### eth_estimateGas
Gas is hardcoded in the EVMCC and enough is provided for transactions to
complete. Therefore `eth_estimateGas` will always return 0. According to the
spec, [estimateGas](https://github.com/ethereum/wiki/wiki/JSON-RPC#eth_estimategas)
takes in parameters similar to `eth_call`. These parameters, if provided, will
be ignored. However, if the parameter is provided it is expected in the object
format, otherwise an error will be returned.
**Example**
```
curl http://127.0.0.1:5000 -X POST -H "Content-Type:application/json" -d '{
"jsonrpc":"2.0",
"method": "eth_estimateGas",
"id":1,
"params":[
{"to":"0x40421fd8b64e91da48e703ea1daa488b44ff9d16",
"data":"0x60fe47b1000000000000000000000000000000000000000000000000000000000000000f"}]
}'
{"jsonrpc":"2.0","result":"0x0","id":1}
```
### eth_getBalance
No Ether or native tokens are created as part of the EVMCC. User accounts do not
have any balances. Therefore `eth_getBalance` will always return 0 regardless of
the parameters that are provided. According to the spec, [getBalance](https://github.com/ethereum/wiki/wiki/JSON-RPC#eth_getbalance)
expects an array of strings, an account address and a block number. These
parameters, if provided, are ignored. However, if parameters are provided they
must be an array of strings, otherwise an error will be returned.
**Example**
```
curl http://127.0.0.1:5000 -X POST -H "Content-Type:application/json" -d '{
"jsonrpc":"2.0",
"method": "eth_getBalance",
"id":1,
"params":["0x564fbd2e6e26ca8dbbac758f9253dd80d90974b6"]
}'
{"jsonrpc":"2.0","result":"0x0","id":1}
```
### eth_getBlockByNumber
`eth_getBlockByNumber` returns information about the requested block. According
to the spec, [getBlockByNumber](https://github.com/ethereum/wiki/wiki/JSON-RPC#eth_getblockbynumber)
accepts a number that is hex encoded or a default block parameter such as
`latest`, and `earliest` and a second parameter which is a boolean that
indicates whether full transaction information should be returned. Fabric does
not have a concept of `pending` blocks so providing `pending` as the block
number will result in an error. The field `gasLimit` is provided as a
compatibility measure, and is always hardcoded to `0x0`.
**Example**
```
curl http://127.0.0.1:5000 -X POST -H "Content-Type:application/json" -d '{
"jsonrpc":"2.0",
"method": "eth_getBlockByNumber",
"id":1,
"params":["latest", true]
}'
{
"jsonrpc": "2.0",
"result": {
"number": "0x8",
"hash": "0xe63104fc910f90f4d281dbc9d666225d74c5a4ac1438890b4252236d52e158e0",
"parentHash": "0x8230fad38e199e014aa7433656f78a9d8336ddd6aace9791a6cbbb78c6b9640e",
"gasLimit": "0x0",
"transactions": [
{
"blockHash": "0xe63104fc910f90f4d281dbc9d666225d74c5a4ac1438890b4252236d52e158e0",
"blockNumber": "0x8",
"to": "0x96036d93a9fd3f4cc4cc92e3b9fdb4213f552a99",
"from": "0xa6e427512d418a9f8f1277dff45a1942236005d3",
"input": "0x60fe47b1000000000000000000000000000000000000000000000000000000000000000a",
"transactionIndex": "0x0",
"hash": "0x1eafc293bd6c4c19dbd965dfb442a1817d2f7b1eaa8fd575a4409539086978dc",
"gasPrice": "0x0",
"value": "0x0"
}
]
},
"id": 1
}
```
### eth_blockNumber
`eth_blockNumber` returns the number associated with the latest block on the
ledger. According to the spec, [blockNumber](https://github.com/ethereum/wiki/wiki/JSON-RPC#eth_blockNumber)
does not take any parameters.
**Example**
```
curl http://127.0.0.1:5000 -X POST -H "Content-Type:application/json" -d '{
"jsonrpc":"2.0",
"method": "eth_BlockNumber",
"id":1,
"params":[]
}'
{"jsonrpc":"2.0","result":"0x6","id":1}
```
### eth_getTransactionByHash
`eth_getTransactionByHash` will return transaction information about the given
Fabric transaction id. According to the spec, [getTransactionByHash](https://github.com/ethereum/wiki/wiki/JSON-RPC#eth_gettransactionbyhash)
accepts only one argument, the transaction id.
**Example**
```
curl http://127.0.0.1:5000 -X POST -H "Content-Type:application/json" -d '{
"jsonrpc":"2.0",
"method": "eth_getTransactionByHash",
"id":1,
"params":["0x9c109bd5880c85a053bee913e82b2395510ef91be133dac06ebf1240e3d73abc"]
}'
{
"jsonrpc": "2.0",
"result": {
"blockHash": "0xffe091745796ce5f1b5cee98fca7ee8a53b5b7c834cdebe74c808a2a5cfbb510",
"blockNumber": "0x4",
"to": "0x0000000000000000000000000000000000000000",
"from": "0xa6e427512d418a9f8f1277dff45a1942236005d3",
"input": "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",
"transactionIndex": "0x0",
"hash": "0x9c109bd5880c85a053bee913e82b2395510ef91be133dac06ebf1240e3d73abc",
"gasPrice": "0x0",
"value": "0x0"
},
"id": 1
}
```
### eth_getTransactionReceipt
`eth_getTransactionReceipt` returns the receipt for the transaction. This
includes any logs that were generated from the transaction. If the transaction
was a contract creation, it will return the contract address of the newly
created contract. Otherwise the contract address will be null. According to the
spec, [getTransactionReceipt](https://github.com/ethereum/wiki/wiki/JSON-RPC#eth_gettransactionreceipt)
accepts only one parameter the Fabric transaction id.
**Example**
```
curl http://127.0.0.1:5000 -X POST -H "Content-Type:application/json" -d '{
"jsonrpc":"2.0",
"method": "eth_getTransactionReceipt",
"id":1,
"params":["0x9c109bd5880c85a053bee913e82b2395510ef91be133dac06ebf1240e3d73abc"]
}'
{
"jsonrpc": "2.0",
"result": {
"transactionHash": "0x9c109bd5880c85a053bee913e82b2395510ef91be133dac06ebf1240e3d73abc",
"transactionIndex": "0x0",
"blockHash": "0xffe091745796ce5f1b5cee98fca7ee8a53b5b7c834cdebe74c808a2a5cfbb510",
"blockNumber": "0x4",
"contractAddress": "0xad72cffcba95abedf4656a65a2ebab448aae8c19",
"gasUsed": 0,
"cumulativeGasUsed": 0,
"to": "",
"logs": [],
"status": "0x1",
"from": "0xa6e427512d418a9f8f1277dff45a1942236005d3"
},
"id": 1
}
```
### eth_getLogs
`eth_getLogs` returns matching log objects from transactions within the matching range of
blocks. These log objects are conversions from the fabric event objects on each transaction. All
visible events will be matched against, which will include other instances of the EVM chaincode
operating with different chaincode IDs. According to the spec,
[getLogs](https://github.com/ethereum/wiki/wiki/JSON-RPC#eth_getlogs) takes 5 arguments. All are
optional and BlockHash cannot be combined with FromBlock or ToBlock. FromBlock and ToBlock are used
to specify the inclusive range of blocks to search for matching log objects. FromBlock and ToBlock
accept a number that is hex encoded or a default block parameter such as `latest`, and
`earliest`. Fabric does not have a concept of `pending` blocks so providing `pending` as the block
number will result in an error. Address is an individual address or array of addresses which must
match the entries in the log objects. Topics is an array of matching topics which must match the
entries of the log objects. See the [spec for the
format](https://github.com/ethereum/wiki/wiki/JSON-RPC#a-note-on-specifying-topic-filters) of topic
filters. BlockHash is the exact hash of a fabric block, which will be the only block searched for
transactions that contain matching log entries.
**Example**
```
curl http://127.0.0.1:5000 -X POST -H "Content-Type:application/json" -d '{
"jsonrpc":"2.0",
"method": "eth_getLogs",
"id":1,
"params":[
{"fromBlock":"earliest",
"address":"0x96036d93a9fd3f4cc4cc92e3b9fdb4213f552a99",
"topics":["0x208509800c5cb9707f116ef96a1d456499ab9fa3c8edc1cdf381fe5216d5b173"]}]
}'
{
"jsonrpc": "2.0",
"result": [
{
"address": "0x96036d93a9fd3f4cc4cc92e3b9fdb4213f552a99",
"topics": [
"0x208509800c5cb9707f116ef96a1d456499ab9fa3c8edc1cdf381fe5216d5b173"
],
"data": "0x000000000000000000000000000000000000000000000000000000000000000a",
"blockNumber": "0x8",
"transactionHash": "0x1eafc293bd6c4c19dbd965dfb442a1817d2f7b1eaa8fd575a4409539086978dc",
"transactionIndex": "0x0",
"blockHash": "0xe63104fc910f90f4d281dbc9d666225d74c5a4ac1438890b4252236d52e158e0",
"logIndex": "0x0"
}
],
"id": 1
}
```
### eth_getTransactionCount
Transaction count per user is not tracked and there is no concept of a nonce in
Fabric. Therefore `eth_getTransactionCount` is hardcoded to always return `0x0`.
According to the spec, [getTransactionCount](https://github.com/ethereum/wiki/wiki/JSON-RPC#eth_gettransactioncount)
takes in an address and a block number. These parameters, if provided will be
ignored.
**Example**
```
curl http://127.0.0.1:5000 -X POST -H "Content-Type:application/json" -d '{
"jsonrpc":"2.0",
"method": "eth_getTransactionCount",
"id":1,
"params":[]
}'
{"jsonrpc":"2.0","result":"0x0","id":1}
```
================================================
FILE: LICENSE
================================================
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of the NOTICE file are for informational purposes only and
do not modify the License. You may add Your own attribution
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may provide additional or different license terms and conditions
for use, reproduction, or distribution of Your modifications, or
for any such Derivative Works as a whole, provided Your use,
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the conditions stated in this License.
5. Submission of Contributions. Unless You explicitly state otherwise,
any Contribution intentionally submitted for inclusion in the Work
by You to the Licensor shall be under the terms and conditions of
this License, without any additional terms or conditions.
Notwithstanding the above, nothing herein shall supersede or modify
the terms of any separate license agreement you may have executed
with Licensor regarding such Contributions.
6. Trademarks. This License does not grant permission to use the trade
names, trademarks, service marks, or product names of the Licensor,
except as required for reasonable and customary use in describing the
origin of the Work and reproducing the content of the NOTICE file.
7. Disclaimer of Warranty. Unless required by applicable law or
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Contributor provides its Contributions) on an "AS IS" BASIS,
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of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
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8. Limitation of Liability. In no event and under no legal theory,
whether in tort (including negligence), contract, or otherwise,
unless required by applicable law (such as deliberate and grossly
negligent acts) or agreed to in writing, shall any Contributor be
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Work (including but not limited to damages for loss of goodwill,
work stoppage, computer failure or malfunction, or any and all
other commercial damages or losses), even if such Contributor
has been advised of the possibility of such damages.
9. Accepting Warranty or Additional Liability. While redistributing
the Work or Derivative Works thereof, You may choose to offer,
and charge a fee for, acceptance of support, warranty, indemnity,
or other liability obligations and/or rights consistent with this
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on Your own behalf and on Your sole responsibility, not on behalf
of any other Contributor, and only if You agree to indemnify,
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incurred by, or claims asserted against, such Contributor by reason
of your accepting any such warranty or additional liability.
END OF TERMS AND CONDITIONS
APPENDIX: How to apply the Apache License to your work.
To apply the Apache License to your work, attach the following
boilerplate notice, with the fields enclosed by brackets "{}"
replaced with your own identifying information. (Don't include
the brackets!) The text should be enclosed in the appropriate
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Licensed under the Apache License, Version 2.0 (the "License");
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
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================================================
FILE: MAINTAINERS.md
================================================
## Maintainers
| Name | GitHub | Chat | email |
|------|--------|------|-------|
| Christopher Ferris | christo4ferris | cbf | chrisfer@us.ibm.com |
| Gari Singh | mastersingh24 | mastersingh24 | gari.r.singh@gmail.com |
| Jay Guo | guoger | guoger | guojiannan1101@gmail.com |
| Morgan Bauer | MHBauer | MHBauer | mbauer@us.ibm.com |
| Srinivasan Muralidharan | muralisrini | muralisr | srinivasan.muralidharan99@gmail.com |
| Swetha Repakula | swetharepakula | swetha | srepaku@us.ibm.com |
This work is licensed under a Creative Commons Attribution 4.0 International License
================================================
FILE: Makefile
================================================
# Copyright IBM Corp All Rights Reserved.
# Copyright London Stock Exchange Group All Rights Reserved.
#
# SPDX-License-Identifier: Apache-2.0
#
# -------------------------------------------------------------
# This makefile defines the following targets
#
# - all (default) - builds all targets and runs all tests/checks
# - basic-checks - performs basic checks like license, spelling and linter
# - check-deps - check for vendored dependencies that are no longer used
# - checks - runs all non-integration tests/checks
# - gotools - installs go tools like golint
# - license - checks go source files for Apache license header
# - linter - runs all code checks
# - unit-test - runs the go-test based unit tests
# - integration-test - runs the e2e_cli based test
# - docker-images - pulls the latest docker ccenv and couchdb images needed for integration tests
# - update-mocks - update the counterfeiter test doubles
#
FABRIC_RELEASE=1.4
PREV_VERSION=0.3.0
BASE_VERSION=0.4.0
EXECUTABLES ?= go git curl docker
K := $(foreach exec,$(EXECUTABLES),\
$(if $(shell which $(exec)),some string,$(error "No $(exec) in PATH: Check dependencies")))
all: checks integration-test
checks: basic-checks unit-test
basic-checks: license spelling linter build
.PHONY: spelling
spelling: gotool.misspell
@scripts/check_spelling.sh
.PHONY: license
license:
@scripts/check_license.sh
.PHONY: build
build: bin/fab3 bin/evmcc
include gotools.mk
.PHONY: clean
clean: gotools-clean
rm -rf bin/ node_modules/
.PHONY: gotools
gotools: gotools-install
unit-test: gotool.ginkgo
@echo "Running unit-tests"
ginkgo -p -randomizeAllSpecs -randomizeSuites -requireSuite -noColor -keepGoing -race -r evmcc
cd fab3 && GO111MODULE=on ginkgo -p -randomizeAllSpecs -randomizeSuites -requireSuite -noColor -keepGoing -race -r
unit-tests: unit-test
dev-test:
cd fab3 && GO111MODULE=on ginkgo watch -notify -randomizeAllSpecs -requireSuite -race -cover -r
linter: gotool.goimports
@echo "LINT: Running code checks.."
@scripts/golinter.sh
changelog:
@scripts/changelog.sh v$(PREV_VERSION) v$(BASE_VERSION)
# we don't use any of these images, they just need to exist for the integration
# tests, so pull busybox and tag it as needed
.PHONY: docker-images
docker-images:
docker pull busybox
@# check if the image exists, we only want the exit code, so give an empty format string
for IMAGE in couchdb kafka zookeeper; do \
docker inspect hyperledger/fabric-$$IMAGE --format ' ' || \
echo "tag $$IMAGE" && docker tag busybox hyperledger/fabric-$$IMAGE ; \
done
@docker inspect hyperledger/fabric-javaenv:amd64-latest --format ' ' || \
echo "tag javaenv" && docker tag busybox hyperledger/fabric-javaenv:amd64-latest
.PHONY: integration-test
integration-test: docker-images gotool.ginkgo
@echo "Running integration-test"
@scripts/run-integration-tests.sh
fab3: bin/fab3
.PHONY: bin/fab3 # let 'go build' handle caching and whether to rebuild
bin/fab3:
mkdir -p bin/
cd fab3 && GO111MODULE=on go build -o ./../bin/fab3 ./cmd
.PHONY: bin/evmcc # let 'go build' handle caching and whether to rebuild
bin/evmcc:
mkdir -p bin/
go build -o bin/evmcc ./evmcc
rm bin/evmcc # checking that it compiled, evmcc not meant to be run directly
# Requires go v1.11+
.PHONY:
update-mocks: gotool.counterfeiter
counterfeiter -o evmcc/mocks/mockstub.go --fake-name MockStub evmcc/vendor/github.com/hyperledger/fabric/core/chaincode/shim/interfaces.go ChaincodeStubInterface
cd fab3 && GO111MODULE=on go generate .
================================================
FILE: README.md
================================================
# Hyperledger Fabric EVM chaincode
**This project has been archived for lack of interest within the community.**
This is the project for the Hyperledger Fabric chaincode, integrating the
Burrow EVM. At its essence, this project enables one to use the Hyperledger
Fabric permissioned blockchain platform to interact with Ethereum smart
contracts written in an EVM compatible language such as Solidity or Vyper.
The integration is achieved through the EVM chaincode (EVMCC) and Fab3. The
EVMCC wraps the Hyperledger Burrow EVM package in a Go chaincode shim and maps
the various methods between the peer and the EVM itself. The EVMCC acts as the
smart contract runtime and stores the deployed contract code on the ledger under
the `evmcc` namespace.
The second piece is Fab3, a web3 provider, which is a proxy that implements a
subset of the Ethereum compliant JSON RPC interfaces, so that users could use
tools such as Web3.js to interact with smart contracts running in the Fabric
EVM. Using the Fabric GO SDK, Fab3 is able to communicate with the Fabric
network to interact with the EVMCC. Without Fab3, users can still interact with
the EVMCC using the Fabric APIs.
Used together, the EVMCC and Fab3 recreates the Ethereum smart contract runtime
and developer experience. Applications that make use of the Ethereum JSON RPC
API and EVM smart contracts should be able to stay unchanged and can be brought
to use with Hyperledger Fabric.
# Table of Contents
- [Deploying the Fabric EVM Chaincode (EVMCC)](#Deploying-the-Fabric-EVM-Chaincode-(EVMCC))
- [Running Fab3](#Running-Fab3)
- [Tutorial](#Tutorial)
- [Testing](#Testing)
- [Contributions](#Contributions)
- [Current Dependencies](#Current-Dependencies)
We hang out in the
[#fabric-evm channel](https://chat.hyperledger.org/channel/fabric-evm). We are
always interested in feedback and help in development and testing! For more
information about contributing look below at the [Contributions](#Contributions)
section.
## Deploying the Fabric EVM Chaincode (EVMCC)
This chaincode can be deployed like any other user chaincode to Hyperledger
Fabric. The chaincode has no instantiation arguments.
When installing, point to the EVMCC [main package](https://github.com/hyperledger/fabric-chaincode-evm/tree/main/evmcc). Below is an example of installation and
instantiation through the peer cli.
```
peer chaincode install -n evmcc -l golang -v 0 -p github.com/hyperledger/fabric-chaincode-evm/evmcc
peer chaincode instantiate -n evmcc -v 0 -C -c '{"Args":[]}' -o --tls --cafile
```
The interaction is the same as with any other chaincode, except that
the first argument of a chaincode invoke is the address for the contract and
the second argument is the input you typically provide for an Ethereum
transaction. In general the inputs match the `To` and `Data` fields in an
ethereum transaction. Typically the `To` field is the contract address that
contains the desired transaction. The `Data` field is the function to be invoked
concatenated with the encoded parameters expected.
```
peer chaincode invoke -n evmcc -C -c '{"Args":[,]}' -o --tls --cafile
# Contract Invocation
peer chaincode invoke -n evmcc -C -c '{"Args":[,]}' -o --tls --cafile
```
A special case of the ethereum transaction is contract creation. The `To` field
is the zero address and the `Data` field is the compiled bytecode of the smart
contract to be deployed.
```
# Contract Creation
peer chaincode invoke -n evmcc -C -c '{"Args":["0000000000000000000000000000000000000000",]}' -o --tls --cafile
```
The only actions that do not follow the above pattern are to query for contract
runtime code and accounts.
```
# To query for the user account address that is generated from the user public key
peer chaincode query -n evmcc -C -c '{"Args":["account"]}'
# To query for the runtime bytecode for a contract
peer chaincode query -n evmcc -C -c '{"Args":["getCode", ""]}'
```
**NOTE** No Ether or token balance is associated with user accounts, so Ethereum
smart contracts that require a native token cannot be migrated to Fabric
and must be rewritten. Token contracts such as those that follow the ERC 20 standard
can still be deployed to the EVMCC. Consequently since no balances exist, user
accounts are not stored on the ledger and the addresses are generated on the fly
when needed. This should not affect Ethereum smart contract execution. If a
contract stores an address, it will be stored under that contract's data.
**NOTE** In the current implementation of the EVMCC, the opcode `BLOCKHASH` is
not supported. Therefore contracts that use the `blockhash(uint blockNumber)`
function will result in an error.
## Running Fab3
Fab3 is a web3 provider that allows the use of ethereum tools such as Web3.js
and the Remix IDE to interact with the Ethereum Smart Contracts that have been
deployed through the Fabric EVM Chaincode.
For the most up to date instruction set look at the [ethservice](fab3/ethservice.go)
and [netservice](fab3/netservice.go)
implementations. For details about limitations and implementations of the the
instructions look at the [Fab3 Instructions](Fab3_Instructions.md).
To create the Fab3 binary, this repository must be checked out in the [GOPATH](https://github.com/golang/go/wiki/GOPATH)
```
mkdir -p $(go env GOPATH)/src/github.com/hyperledger/
git clone https://github.com/hyperledger/fabric-chaincode-evm.git $(go env GOPATH)/src/github.com/hyperledger/fabric-chaincode-evm
cd $(go env GOPATH)/src/github.com/hyperledger/fabric-chaincode-evm
```
Fab3 requires golang version 1.11 and up.
Run the following at the root of this repository:
```
make fab3
```
A binary named `fab3` will be created in the `bin` directory.
To run Fab3, the user needs to provide a Fabric SDK Config and Fabric user
information. To specify the Fabric user, the organization and
user id needs to be provided which corresponds to the credentials provided in
the SDK config. We provide a sample [config](examples/first-network-sdk-config.yaml)
that can be used with the first network example from the
[fabric-samples](https://github.com/hyperledger/fabric-samples) repository.
The credentials specified in the config, are expected to be in the directory
format that the [cryptogen](https://hyperledger-fabric.readthedocs.io/en/release-1.4/commands/cryptogen.html)
binary outputs.
The expected inputs can be provided to fab3 as environment variables or flags.
Flags will take precedence over the environment variables.
```
fab3 is a web3 provider used to interact with the EVM chaincode on a Fabric Network.
The flags provided will be honored over the corresponding environment variables.
Usage:
fab3 [flags]
Flags:
-i, --ccid string ID of the EVM Chaincode deployed in your fabric network.
The CCID to be used in by fab3 can also be set by the FAB3_CCID environment variable. (default "evmcc")
-C, --channel string Channel to be used for the transactions.
This flag is required if FAB3_CHANNEL is not set
-c, --config string Path to a compatible Fabric SDK Go config file.
This flag is required if FAB3_CONFIG is not set
-h, --help help for fab3
-o, --org string Organization of the specified user.
This flag is required if FAB3_ORG is not set
-p, --port int Port that Fab3 will be running on.
The listening port can also be set by the FAB3_PORT environment variable. (default 5000)
-u, --user string User identity being used for the proxy (Matches the users' names in the
crypto-config directory specified in the config).
This flag is required if FAB3_USER is not set
```
## Tutorial
We have a [tutorial](examples/EVM_Smart_Contracts.md) that runs through the
basic setup of the EVM chaincode as well as setting up fab3. It also covers
deploying a Solidity contract and interacting with it using the Web3.js node library.
## Testing
You can run the integration tests in which a sample Fabric Network is run and the
chaincode is installed with the CCID: `evmcc`.
```
make integration-test
```
The [end-2-end](integration/e2e/e2e_test.go)
test is derivative of the hyperledger/fabric/integration/e2e test. You can
compare them to see what is different.
The [fab3](integration/fab3/fab3_test.go)
test focuses on the JSON RPC API compatibility. The [web3](integration/fab3/web3_e2e_test.js)
test uses the Web3 node.js library as a client to run tests against fab3 and the
EVMCC.
## Contributions
Pull requests are now accepted on github. When submitting a pull request, please
include the JIRA number associated with your JIRA work item in the commit
message title.
To report a new issue, open a ticket in the Hyperledger Fabric [JIRA](https://jira.hyperledger.org/projects/FABCE/issues)
under the Fabric Chaincode EVM (FABCE) project.
## Current Dependencies
- Hyperledger Fabric [v1.4](https://github.com/hyperledger/fabric/releases/tag/v1.4.0). EVMCC can be run on Fabric 1.0 and newer.
- Hyperledger Fabric Go SDK [1.0.0-alpha5](https://github.com/hyperledger/fabric-sdk-go/releases/tag/v1.0.0-alpha5)
- Minimum of Go 1.11 is required to compile Fab3.
[](http://creativecommons.org/licenses/by/4.0/)
This work is licensed under a [Creative Commons Attribution 4.0 International License](http://creativecommons.org/licenses/by/4.0/)
================================================
FILE: SECURITY.md
================================================
# Hyperledger Security Policy
## Reporting a Security Bug
If you think you have discovered a security issue in any of the Hyperledger projects, we'd love to hear from you. We will take all security bugs seriously and if confirmed upon investigation we will patch it within a reasonable amount of time and release a public security bulletin discussing the impact and credit the discoverer.
There are two ways to report a security bug. The easiest is to email a description of the flaw and any related information (e.g. reproduction steps, version) to [security at hyperledger dot org](mailto:security@hyperledger.org).
The other way is to file a confidential security bug in our [JIRA bug tracking system](https://jira.hyperledger.org). Be sure to set the “Security Level” to “Security issue”.
The process by which the Hyperledger Security Team handles security bugs is documented further in our [Defect Response page](https://wiki.hyperledger.org/display/HYP/Defect+Response) on our [wiki](https://wiki.hyperledger.org).
================================================
FILE: ci/azure-pipelines.yml
================================================
# Copyright the Hyperledger Fabric contributors. All rights reserved.
#
# SPDX-License-Identifier: Apache-2.0
name: $(SourceBranchName)-$(Date:yyyyMMdd)$(Rev:.rrr)
trigger:
- main
pr:
- main
variables:
GOPATH: $(Agent.BuildDirectory)/go
PATH: $(Agent.BuildDirectory)/go/bin:/bin:/usr/bin:/sbin:/usr/sbin:/usr/local/bin:/usr/local/sbin
GO_VER: 1.11.13
NODE_VER: 8.11.3
jobs:
- job: VerifyBuild
pool:
vmImage: ubuntu-16.04
condition: and(succeeded(), eq(variables['build.reason'], 'PullRequest'))
steps:
- task: GoTool@0
inputs:
version: $(GO_VER)
goPath: $(GOPATH)
displayName: Install GoLang
- checkout: self
path: 'go/src/github.com/hyperledger/fabric-chaincode-evm'
displayName: Checkout Fabric Chaincode EVM Code
- script: make basic-checks
displayName: Check Spelling, Licenses and Linting
- job: UnitTests
pool:
vmImage: ubuntu-16.04
steps:
- task: GoTool@0
inputs:
version: $(GO_VER)
goPath: $(GOPATH)
displayName: Install GoLang
- checkout: self
path: 'go/src/github.com/hyperledger/fabric-chaincode-evm'
displayName: Checkout Fabric Chaincode EVM Code
- script: make unit-tests
displayName: Run Unit Tests
- job: IntegrationTests
pool:
vmImage: ubuntu-16.04
condition: and(succeeded(), eq(variables['build.reason'], 'PullRequest'))
steps:
- task: GoTool@0
inputs:
version: $(GO_VER)
goPath: $(GOPATH)
displayName: Install GoLang
- task: NodeTool@0
inputs:
versionSpec: $(NODE_VER)
displayName: Install Node.js
- checkout: self
path: 'go/src/github.com/hyperledger/fabric-chaincode-evm'
displayName: Checkout Fabric Chaincode EVM Code
- script: make integration-test
displayName: Run Integration Tests
================================================
FILE: evmcc/address/converter.go
================================================
/*
Copyright IBM Corp. All Rights Reserved.
SPDX-License-Identifier: Apache-2.0
*/
package address
import (
"crypto/x509"
"encoding/pem"
"fmt"
"github.com/golang/protobuf/proto"
"github.com/hyperledger/fabric/protos/msp"
"golang.org/x/crypto/sha3"
)
// IdentityToAddr computes 160 bits address from the public key encoded in an identity.
func IdentityToAddr(creator []byte) ([]byte, error) {
si := &msp.SerializedIdentity{}
if err := proto.Unmarshal(creator, si); err != nil {
return nil, fmt.Errorf("failed to unmarshal serialized identity: %s", err)
}
bl, _ := pem.Decode(si.IdBytes)
if bl == nil {
return nil, fmt.Errorf("no pem data found")
}
cert, err := x509.ParseCertificate(bl.Bytes)
if err != nil {
return nil, fmt.Errorf("failed to parse certificate: %s", err)
}
pubkeyBytes, err := x509.MarshalPKIXPublicKey(cert.PublicKey)
if err != nil {
return nil, fmt.Errorf("unable to marshal public key: %s", err)
}
// We want the last 160 bits of the sha3-256 sum as the address
sum := sha3.Sum256(pubkeyBytes)
return sum[12:], nil
}
================================================
FILE: evmcc/address/converter_suite_test.go
================================================
/*
Copyright IBM Corp. All Rights Reserved.
SPDX-License-Identifier: Apache-2.0
*/
package address_test
import (
"testing"
. "github.com/onsi/ginkgo"
. "github.com/onsi/gomega"
)
func TestAddressgenerator(t *testing.T) {
RegisterFailHandler(Fail)
RunSpecs(t, "Addressgenerator Suite")
}
================================================
FILE: evmcc/address/converter_test.go
================================================
/*
Copyright IBM Corp. All Rights Reserved.
SPDX-License-Identifier: Apache-2.0
*/
package address_test
import (
"encoding/hex"
"github.com/gogo/protobuf/proto"
"github.com/hyperledger/fabric-chaincode-evm/evmcc/address"
"github.com/hyperledger/fabric/protos/msp"
. "github.com/onsi/ginkgo"
. "github.com/onsi/gomega"
)
var _ = Describe("IdentityToAddr", func() {
var (
cert = `-----BEGIN CERTIFICATE-----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-----END CERTIFICATE-----`
creator []byte
)
BeforeEach(func() {
var err error
creator, err = proto.Marshal(&msp.SerializedIdentity{IdBytes: []byte(cert)})
Expect(err).ToNot(HaveOccurred())
})
It("returns a 160 bit address from a public key", func() {
address, err := address.IdentityToAddr([]byte(creator))
Expect(err).ToNot(HaveOccurred())
Expect(hex.EncodeToString(address)).To(Equal("b3778bcee2b9c349702e5832928730d2aed0ac07"),
"address generation has changed. Please update test.")
})
})
================================================
FILE: evmcc/event/event.go
================================================
/*
Copyright IBM Corp. All Rights Reserved.
SPDX-License-Identifier: Apache-2.0
*/
package event
type Event struct {
Address string
Data string
Topics []string
}
================================================
FILE: evmcc/eventmanager/eventmanager.go
================================================
/*
Copyright IBM Corp. All Rights Reserved.
SPDX-License-Identifier: Apache-2.0
*/
package eventmanager
import (
"encoding/json"
"fmt"
"strings"
"github.com/hyperledger/fabric-chaincode-evm/evmcc/event"
"github.com/hyperledger/fabric/core/chaincode/shim"
"github.com/hyperledger/burrow/execution/errors"
"github.com/hyperledger/burrow/execution/evm"
"github.com/hyperledger/burrow/execution/exec"
)
type EventManager struct {
Stub shim.ChaincodeStubInterface
EventCache []event.Event
}
var _ evm.EventSink = &EventManager{}
type EventSink interface {
Call(call *exec.CallEvent, exception *errors.Exception) error
Log(log *exec.LogEvent) error
}
// Flush will marshal all collected events from the transaction
// and set as a singular Fabric event
//
// eventName is for fabric, typically the evm 8byte function hash
func (evmgr *EventManager) Flush(eventName string) error {
if len(evmgr.EventCache) == 0 {
return nil
}
payload, err := json.Marshal(evmgr.EventCache)
if err != nil {
return fmt.Errorf("Failed to marshal event messages: %s", err)
}
return evmgr.Stub.SetEvent(eventName, payload)
}
// Call for right now is a noop
// need to figure out what it means (burrow or evm)
func (evmgr *EventManager) Call(call *exec.CallEvent, exception *errors.Exception) error {
return nil
}
// Log will take the given log message convert to a event type and
// append to the event manager's EventCache
func (evmgr *EventManager) Log(log *exec.LogEvent) error {
e := event.Event{Address: strings.ToLower(log.Address.String()), Data: strings.ToLower(log.Data.String())}
var topics []string
for _, topic := range log.Topics {
t, err := topic.MarshalText()
if err != nil {
return fmt.Errorf("Failed to Marshal Topic: %s", err)
}
topics = append(topics, strings.ToLower(string(t)))
}
e.Topics = topics
evmgr.EventCache = append(evmgr.EventCache, e)
return nil
}
================================================
FILE: evmcc/eventmanager/eventmanager_suite_test.go
================================================
/*
Copyright IBM Corp. All Rights Reserved.
SPDX-License-Identifier: Apache-2.0
*/
package eventmanager_test
import (
. "github.com/onsi/ginkgo"
. "github.com/onsi/gomega"
"testing"
)
func TestEventManager(t *testing.T) {
RegisterFailHandler(Fail)
RunSpecs(t, "EventManager Suite")
}
================================================
FILE: evmcc/eventmanager/eventmanager_test.go
================================================
/*
Copyright IBM Corp. All Rights Reserved.
SPDX-License-Identifier: Apache-2.0
*/
package eventmanager_test
import (
"encoding/hex"
"encoding/json"
"errors"
"strings"
"github.com/hyperledger/burrow/binary"
"github.com/hyperledger/burrow/crypto"
"github.com/hyperledger/burrow/execution/exec"
"github.com/hyperledger/fabric-chaincode-evm/evmcc/event"
"github.com/hyperledger/fabric-chaincode-evm/evmcc/eventmanager"
"github.com/hyperledger/fabric-chaincode-evm/evmcc/mocks"
. "github.com/onsi/ginkgo"
. "github.com/onsi/gomega"
)
var _ = Describe("Event", func() {
var (
eventManager *eventmanager.EventManager
mockStub *mocks.MockStub
addr crypto.Address
topics []binary.Word256
data binary.HexBytes
expectedTopics []string
expectedData string
)
BeforeEach(func() {
mockStub = &mocks.MockStub{}
eventManager = &eventmanager.EventManager{Stub: mockStub, EventCache: []event.Event{}}
var err error
addr, err = crypto.AddressFromBytes([]byte("000000000000addressz"))
Expect(err).ToNot(HaveOccurred())
topic1 := binary.RightPadWord256([]byte("topic-1z"))
topic2 := binary.RightPadWord256([]byte("topic-2z"))
topics = []binary.Word256{topic1, topic2}
expectedTopics = []string{
hex.EncodeToString(topic1.Bytes()),
hex.EncodeToString(topic2.Bytes()),
}
data = []byte("sample-data")
expectedData = hex.EncodeToString(data.Bytes())
})
Describe("Log", func() {
var message *exec.LogEvent
BeforeEach(func() {
message = &exec.LogEvent{Address: addr, Data: data, Topics: topics}
})
It("appends the new message info into the eventCache", func() {
originalLength := len(eventManager.EventCache)
err := eventManager.Log(message)
Expect(err).ToNot(HaveOccurred())
newLength := len(eventManager.EventCache)
Expect(newLength).To(Equal(originalLength + 1))
Expect(eventManager.EventCache[newLength-1]).To(Equal(event.Event{
Address: strings.ToLower(addr.String()),
Data: expectedData,
Topics: expectedTopics}))
})
})
Describe("Call", func() {
It("is a noop", func() {
originalLength := len(eventManager.EventCache)
err := eventManager.Call(&exec.CallEvent{}, nil)
Expect(err).ToNot(HaveOccurred())
Expect(eventManager.EventCache).To(HaveLen(originalLength))
})
})
Describe("Flush", func() {
var (
message1 *exec.LogEvent
message2 *exec.LogEvent
)
BeforeEach(func() {
message1 = &exec.LogEvent{
Address: addr,
}
message2 = &exec.LogEvent{
Address: addr,
}
})
Context("when a single event is emitted", func() {
It("sets a new event with a single messageInfo object payload", func() {
err := eventManager.Log(message1)
Expect(err).ToNot(HaveOccurred())
err = eventManager.Flush("Chaincode event")
Expect(err).ToNot(HaveOccurred())
messagePayloads := []event.Event{{Address: strings.ToLower(addr.String())}}
expectedPayload, err := json.Marshal(messagePayloads)
Expect(err).ToNot(HaveOccurred())
Expect(mockStub.SetEventCallCount()).To(Equal(1))
setEventName, setEventPayload := mockStub.SetEventArgsForCall(0)
Expect(setEventName).To(Equal("Chaincode event"))
Expect(setEventPayload).To(Equal(expectedPayload))
})
})
Context("when multiple events are emitted", func() {
It("sets a new event with a payload consisting of messageInfo objects marshaled together", func() {
err := eventManager.Log(message1)
Expect(err).ToNot(HaveOccurred())
err = eventManager.Log(message2)
Expect(err).ToNot(HaveOccurred())
err = eventManager.Flush("Chaincode event")
Expect(err).ToNot(HaveOccurred())
messagePayloads := []event.Event{
{Address: strings.ToLower(addr.String())},
{Address: strings.ToLower(addr.String())},
}
expectedPayload, err := json.Marshal(messagePayloads)
Expect(err).ToNot(HaveOccurred())
Expect(mockStub.SetEventCallCount()).To(Equal(1))
setEventName, setEventPayload := mockStub.SetEventArgsForCall(0)
Expect(setEventName).To(Equal("Chaincode event"))
Expect(setEventPayload).To(Equal(expectedPayload))
})
})
Context("when the event name is invalid (empty string)", func() {
BeforeEach(func() {
mockStub.SetEventReturns(errors.New("error: nil event name"))
})
It("returns an error", func() {
err := eventManager.Log(message1)
Expect(err).ToNot(HaveOccurred())
err1 := eventManager.Log(message2)
Expect(err1).ToNot(HaveOccurred())
er := eventManager.Flush("")
Expect(er).To(HaveOccurred())
})
})
})
})
================================================
FILE: evmcc/evmcc.go
================================================
/*
Copyright IBM Corp. All Rights Reserved.
SPDX-License-Identifier: Apache-2.0
*/
package main
import (
"encoding/hex"
"fmt"
"strings"
"github.com/hyperledger/burrow/acm"
"github.com/hyperledger/burrow/crypto"
"github.com/hyperledger/burrow/execution/evm"
"github.com/hyperledger/burrow/logging"
"github.com/hyperledger/burrow/permission"
"github.com/hyperledger/fabric/common/flogging"
"github.com/hyperledger/fabric/core/chaincode/shim"
pb "github.com/hyperledger/fabric/protos/peer"
"github.com/hyperledger/fabric-chaincode-evm/evmcc/address"
"github.com/hyperledger/fabric-chaincode-evm/evmcc/eventmanager"
"github.com/hyperledger/fabric-chaincode-evm/evmcc/statemanager"
)
//Permissions for all accounts (users & contracts) to send CallTx or SendTx to a contract
const ContractPermFlags = permission.Call | permission.Send | permission.CreateContract
var ContractPerms = permission.AccountPermissions{
Base: permission.BasePermissions{
Perms: ContractPermFlags,
SetBit: ContractPermFlags,
},
}
var logger = flogging.MustGetLogger("evmcc")
var evmLogger = logging.NewNoopLogger()
type EvmChaincode struct{}
func (evmcc *EvmChaincode) Init(stub shim.ChaincodeStubInterface) pb.Response {
logger.Debugf("Init evmcc, it's no-op")
return shim.Success(nil)
}
func (evmcc *EvmChaincode) Invoke(stub shim.ChaincodeStubInterface) pb.Response {
// We always expect 2 args: 'callee address, input data' or ' getCode , contract address'
args := stub.GetArgs()
if len(args) == 1 {
if string(args[0]) == "account" {
return evmcc.account(stub)
}
}
if len(args) != 2 {
return shim.Error(fmt.Sprintf("expects 2 args, got %d : %s", len(args), string(args[0])))
}
if string(args[0]) == "getCode" {
return evmcc.getCode(stub, args[1])
}
c, err := hex.DecodeString(string(args[0]))
if err != nil {
return shim.Error(fmt.Sprintf("failed to decode callee address from %s: %s", string(args[0]), err))
}
calleeAddr, err := crypto.AddressFromBytes(c)
if err != nil {
return shim.Error(fmt.Sprintf("failed to get callee address: %s", err))
}
// get caller account from creator public key
callerAddr, err := getCallerAddress(stub)
if err != nil {
return shim.Error(fmt.Sprintf("failed to get caller address: %s", err))
}
// get input bytes from args[1]
input, err := hex.DecodeString(string(args[1]))
if err != nil {
return shim.Error(fmt.Sprintf("failed to decode input bytes: %s", err))
}
var gas uint64 = 10000
state := statemanager.NewStateManager(stub)
evmCache := evm.NewState(state, func(height uint64) []byte {
// This function is to be used to return the block hash
// Currently EVMCC does not support the BLOCKHASH opcode.
// This function is only used for that opcode and will not
// affect execution if BLOCKHASH is not called.
panic("Block Hash shouldn't be called")
})
eventSink := &eventmanager.EventManager{Stub: stub}
nonce := crypto.Nonce(callerAddr, []byte(stub.GetTxID()))
vm := evm.NewVM(newParams(), callerAddr, nonce, evmLogger)
if calleeAddr == crypto.ZeroAddress {
logger.Debugf("Deploy contract")
logger.Debugf("Contract nonce number = %d", nonce)
contractAddr := crypto.NewContractAddress(callerAddr, nonce)
// Contract account needs to be created before setting code to it
evmCache.CreateAccount(contractAddr)
if evmErr := evmCache.Error(); evmErr != nil {
return shim.Error(fmt.Sprintf("failed to create the contract account: %s ", evmErr))
}
evmCache.SetPermission(contractAddr, ContractPermFlags, true)
if evmErr := evmCache.Error(); evmErr != nil {
return shim.Error(fmt.Sprintf("failed to set contract account permissions: %s ", evmErr))
}
rtCode, evmErr := vm.Call(evmCache, eventSink, callerAddr, contractAddr, input, input, 0, &gas)
if evmErr != nil {
return shim.Error(fmt.Sprintf("failed to deploy code: %s", evmErr))
}
if rtCode == nil {
return shim.Error(fmt.Sprintf("nil bytecode"))
}
evmCache.InitCode(contractAddr, rtCode)
if evmErr := evmCache.Error(); evmErr != nil {
return shim.Error(fmt.Sprintf("failed to update contract account: %s", evmErr))
}
// Passing the first 4 bytes contract address just created
// Since the bytes are not hex encoded, one byte will be represented
// as 2 hex bytes, so the event name will be 8 hex bytes.
// Hex Encode before flushing to ensure no non utf-8 characters
// Otherwise proto marshal fails on non utf-8 characters when
// the peer tries to marshal the event
err := eventSink.Flush(hex.EncodeToString(contractAddr.Bytes()[0:4]))
if err != nil {
return shim.Error(fmt.Sprintf("error in Flush: %s", err))
}
if evmErr := evmCache.Sync(); evmErr != nil {
return shim.Error(fmt.Sprintf("failed to sync: %s", evmErr))
}
// return encoded hex bytes for human-readability
return shim.Success([]byte(hex.EncodeToString(contractAddr.Bytes())))
} else {
logger.Debugf("Invoke contract at %x", calleeAddr.Bytes())
calleeCode := evmCache.GetCode(calleeAddr)
if evmErr := evmCache.Error(); evmErr != nil {
return shim.Error(fmt.Sprintf("failed to retrieve contract code: %s", evmErr))
}
output, evmErr := vm.Call(evmCache, eventSink, callerAddr, calleeAddr, calleeCode, input, 0, &gas)
if evmErr != nil {
return shim.Error(fmt.Sprintf("failed to execute contract: %s", evmErr))
}
// Passing the function hash of the method that has triggered the event
// The function hash is the first 8 bytes of the Input argument
// The argument is a hex-encoded evm function hash, so we can directly pass the bytes
err := eventSink.Flush(string(args[1][0:8]))
if err != nil {
return shim.Error(fmt.Sprintf("error in Flush: %s", err))
}
// Sync is required for evm to send writes to the statemanager.
if evmErr := evmCache.Sync(); evmErr != nil {
return shim.Error(fmt.Sprintf("failed to sync: %s", evmErr))
}
return shim.Success(output)
}
}
func (evmcc *EvmChaincode) getCode(stub shim.ChaincodeStubInterface, address []byte) pb.Response {
c, err := hex.DecodeString(string(address))
if err != nil {
return shim.Error(fmt.Sprintf("failed to decode callee address from %s: %s", string(address), err))
}
calleeAddr, err := crypto.AddressFromBytes(c)
if err != nil {
return shim.Error(fmt.Sprintf("failed to get callee address: %s", err))
}
acctBytes, err := stub.GetState(strings.ToLower(calleeAddr.String()))
if err != nil {
return shim.Error(fmt.Sprintf("failed to get contract account: %s", err))
}
if len(acctBytes) == 0 {
return shim.Success(acctBytes)
}
acct, err := acm.Decode(acctBytes)
if err != nil {
return shim.Error(fmt.Sprintf("failed to decode contract account: %s", err))
}
return shim.Success([]byte(hex.EncodeToString(acct.Code.Bytes())))
}
func (evmcc *EvmChaincode) account(stub shim.ChaincodeStubInterface) pb.Response {
callerAddr, err := getCallerAddress(stub)
if err != nil {
return shim.Error(fmt.Sprintf("fail to convert identity to address: %s", err))
}
return shim.Success([]byte(callerAddr.String()))
}
func newParams() evm.Params {
return evm.Params{
BlockHeight: 0,
BlockTime: 0,
GasLimit: 0,
}
}
func getCallerAddress(stub shim.ChaincodeStubInterface) (crypto.Address, error) {
creatorBytes, err := stub.GetCreator()
if err != nil {
return crypto.ZeroAddress, fmt.Errorf("failed to get creator: %s", err)
}
callerAddr, err := address.IdentityToAddr(creatorBytes)
if err != nil {
return crypto.ZeroAddress, fmt.Errorf("fail to convert identity to address: %s", err)
}
return crypto.AddressFromBytes(callerAddr)
}
func main() {
if err := shim.Start(new(EvmChaincode)); err != nil {
logger.Infof("Error starting EVM chaincode: %s", err)
}
}
================================================
FILE: evmcc/evmcc_suite_test.go
================================================
/*
Copyright IBM Corp. All Rights Reserved.
SPDX-License-Identifier: Apache-2.0
*/
package main_test
import (
. "github.com/onsi/ginkgo"
. "github.com/onsi/gomega"
"testing"
)
func TestPlugin(t *testing.T) {
RegisterFailHandler(Fail)
RunSpecs(t, "EVMCC Suite")
}
================================================
FILE: evmcc/evmcc_test.go
================================================
/*
Copyright IBM Corp. All Rights Reserved.
SPDX-License-Identifier: Apache-2.0
*/
package main_test
import (
"encoding/hex"
"encoding/json"
"fmt"
"strings"
"unicode/utf8"
"github.com/gogo/protobuf/proto"
"github.com/hyperledger/burrow/acm"
"github.com/hyperledger/burrow/crypto"
"github.com/hyperledger/burrow/permission"
evm "github.com/hyperledger/fabric-chaincode-evm/evmcc"
"github.com/hyperledger/fabric/core/chaincode/shim"
"github.com/hyperledger/fabric/protos/msp"
"github.com/hyperledger/fabric-chaincode-evm/evmcc/address"
"github.com/hyperledger/fabric-chaincode-evm/evmcc/event"
"github.com/hyperledger/fabric-chaincode-evm/evmcc/mocks"
. "github.com/onsi/ginkgo"
. "github.com/onsi/gomega"
)
var _ = Describe("evmcc", func() {
marshalCreator := func(mspId string, certByte []byte) []byte {
b, err := proto.Marshal(&msp.SerializedIdentity{Mspid: mspId, IdBytes: certByte})
if err != nil || b == nil {
panic("Failed to marshal identity ")
}
return b
}
var (
evmcc shim.Chaincode
stub *mocks.MockStub
fakeLedger map[string][]byte
nonce uint64
)
BeforeEach(func() {
evmcc = &evm.EvmChaincode{}
stub = &mocks.MockStub{}
fakeLedger = make(map[string][]byte)
stub.PutStateStub = func(key string, value []byte) error {
fakeLedger[key] = value
return nil
}
stub.GetStateStub = func(key string) ([]byte, error) {
return fakeLedger[key], nil
}
stub.DelStateStub = func(key string) error {
delete(fakeLedger, key)
return nil
}
//TxID is used to create a nonce which is used to create contract addresses
stub.GetTxIDStub = func() string {
nonce = nonce + 1
return fmt.Sprintf("%d", nonce)
}
// Real stub will error on non utf8 characters
stub.SetEventStub = func(eventName string, _ []byte) error {
Expect(utf8.ValidString(eventName)).To(BeTrue())
return nil
}
})
Describe("Init", func() {
It("returns an OK response", func() {
res := evmcc.Init(stub)
Expect(res.Status).To(Equal(int32(shim.OK)))
Expect(res.Payload).To(Equal([]byte(nil)))
})
})
Describe("Invoke", func() {
var (
user0Cert = `-----BEGIN CERTIFICATE-----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-----END CERTIFICATE-----`
creator = marshalCreator("TestOrg", []byte(user0Cert))
/* Sample App from https://solidity.readthedocs.io/en/develop/introduction-to-smart-contracts.html#storage
pragma solidity ^0.4.0;
contract SimpleStorage {
uint storedData;
function set(uint x) public {
storedData = x;
}
function get() public constant returns (uint) {
return storedData;
}
}
*/
deployCode = []byte("6060604052341561000f57600080fd5b60d38061001d6000396000f3006060604052600436106049576000357c0100000000000000000000000000000000000000000000000000000000900463ffffffff16806360fe47b114604e5780636d4ce63c14606e575b600080fd5b3415605857600080fd5b606c60048080359060200190919050506094565b005b3415607857600080fd5b607e609e565b6040518082815260200191505060405180910390f35b8060008190555050565b600080549050905600a165627a7a72305820122f55f799d70b5f6dbfd4312efb65cdbfaacddedf7c36249b8b1e915a8dd85b0029")
runtimeCode = "6060604052600436106049576000357c0100000000000000000000000000000000000000000000000000000000900463ffffffff16806360fe47b114604e5780636d4ce63c14606e575b600080fd5b3415605857600080fd5b606c60048080359060200190919050506094565b005b3415607857600080fd5b607e609e565b6040518082815260200191505060405180910390f35b8060008190555050565b600080549050905600a165627a7a72305820122f55f799d70b5f6dbfd4312efb65cdbfaacddedf7c36249b8b1e915a8dd85b0029"
)
BeforeEach(func() {
// Set contract creator
stub.GetCreatorReturns(creator, nil)
})
It("will create and store the runtime bytecode from the deploy bytecode in a contract account with the correct permsissions", func() {
// zero address, and deploy code is contract creation
stub.GetArgsReturns([][]byte{[]byte(crypto.ZeroAddress.String()), deployCode})
res := evmcc.Invoke(stub)
Expect(res.Status).To(Equal(int32(shim.OK)))
// PutState Call is for setting the code for the contract account
Expect(stub.PutStateCallCount()).To(Equal(1))
value := fakeLedger[string(res.Payload)]
contractAcct, err := acm.Decode(value)
Expect(err).ToNot(HaveOccurred())
Expect(hex.EncodeToString(contractAcct.Code.Bytes())).To(Equal(runtimeCode))
Expect(hex.EncodeToString(contractAcct.Address.Bytes())).To(Equal(string(res.Payload)))
Expect(contractAcct.Permissions).To(Equal(evm.ContractPerms))
expectedPerms := permission.Call | permission.Send | permission.CreateContract
Expect(contractAcct.Permissions.Base.Perms).To(Equal(expectedPerms))
Expect(contractAcct.Permissions.Base.SetBit).To(Equal(expectedPerms))
})
Context("when a contract has already been deployed", func() {
var (
contractAddress crypto.Address
SET = "60fe47b1"
GET = "6d4ce63c"
)
BeforeEach(func() {
// zero address, and deploy code is contract creation
stub.GetArgsReturns([][]byte{[]byte(crypto.ZeroAddress.String()), deployCode})
res := evmcc.Invoke(stub)
Expect(res.Status).To(Equal(int32(shim.OK)))
// PutState Call is for setting the code for the contract account
Expect(stub.PutStateCallCount()).To(Equal(1))
var err error
contractAddress, err = crypto.AddressFromHexString(string(res.Payload))
Expect(err).ToNot(HaveOccurred())
})
It("can run the methods of the contract", func() {
stub.GetArgsReturns([][]byte{[]byte(contractAddress.String()), []byte(GET)})
res := evmcc.Invoke(stub)
Expect(res.Status).To(Equal(int32(shim.OK)))
Expect(hex.EncodeToString(res.Payload)).To(Equal("0000000000000000000000000000000000000000000000000000000000000000"))
stub.GetArgsReturns([][]byte{[]byte(contractAddress.String()), []byte(SET + "000000000000000000000000000000000000000000000000000000000000002a")})
res = evmcc.Invoke(stub)
Expect(res.Status).To(Equal(int32(shim.OK)))
stub.GetArgsReturns([][]byte{[]byte(contractAddress.String()), []byte(GET)})
res = evmcc.Invoke(stub)
Expect(res.Status).To(Equal(int32(shim.OK)))
Expect(hex.EncodeToString(res.Payload)).To(Equal("000000000000000000000000000000000000000000000000000000000000002a"))
})
Context("when another contract is deployed", func() {
BeforeEach(func() {
stub.GetArgsReturns([][]byte{[]byte(crypto.ZeroAddress.String()), deployCode})
})
It("creates a new contract and returns another contract address", func() {
res := evmcc.Invoke(stub)
Expect(res.Status).To(Equal(int32(shim.OK)))
Expect(string(res.Payload)).ToNot(Equal(string(contractAddress.Bytes())))
})
})
})
Context("when more than 2 args are given", func() {
BeforeEach(func() {
stub.GetArgsReturns([][]byte{[]byte("arg1"), []byte("arg2"), []byte("arg3")})
})
It("returns an error", func() {
res := evmcc.Invoke(stub)
Expect(res.Status).To(Equal(int32(shim.ERROR)))
Expect(res.Message).To(ContainSubstring("expects 2 args"))
})
})
Context("when less than 2 args are given", func() {
Context("when only one argument is given", func() {
Context("when the argument is account", func() {
var callerAddress crypto.Address
BeforeEach(func() {
stub.GetArgsReturns([][]byte{[]byte("account")})
stub.GetCreatorReturns(creator, nil)
addr, err := address.IdentityToAddr(creator)
Expect(err).ToNot(HaveOccurred())
callerAddress, err = crypto.AddressFromBytes(addr)
Expect(err).ToNot(HaveOccurred())
})
It("will return the caller address of the contract", func() {
res := evmcc.Invoke(stub)
Expect(res.Status).To(Equal(int32(shim.OK)))
Expect(string(res.Payload)).To(Equal(callerAddress.String()))
})
})
Context("when the argument is not account", func() {
BeforeEach(func() {
stub.GetArgsReturns([][]byte{[]byte("arg1")})
})
It("returns an error", func() {
res := evmcc.Invoke(stub)
Expect(res.Status).To(Equal(int32(shim.ERROR)))
Expect(res.Message).To(ContainSubstring("expects 2 args"))
})
})
})
Context("when no argument is given", func() {
BeforeEach(func() {
stub.GetArgsReturns([][]byte{[]byte("")})
})
It("returns an error", func() {
res := evmcc.Invoke(stub)
Expect(res.Status).To(Equal(int32(shim.ERROR)))
Expect(res.Message).To(ContainSubstring("expects 2 args"))
})
})
})
Context("when getCode is the first arg provided", func() {
Context("when requested contract address exists", func() {
BeforeEach(func() {
// zero address, and deploy code is contract creation
stub.GetArgsReturns([][]byte{[]byte(crypto.ZeroAddress.String()), deployCode})
res := evmcc.Invoke(stub)
Expect(res.Status).To(Equal(int32(shim.OK)))
// PutState Call is for setting the code for the contract account
Expect(stub.PutStateCallCount()).To(Equal(1))
contractAddress, err := crypto.AddressFromHexString(string(res.Payload))
Expect(err).ToNot(HaveOccurred())
//Set the args for the Invoke Call to be "getCode, contractAddress"
stub.GetArgsReturns([][]byte{[]byte("getCode"), []byte(contractAddress.String())})
})
It("will return the runtime bytecode of the contract", func() {
res := evmcc.Invoke(stub)
Expect(res.Status).To(Equal(int32(shim.OK)))
Expect(string(res.Payload)).To(Equal(runtimeCode))
})
})
Context("when queried contract address does not exist", func() {
BeforeEach(func() {
//No contracts exists currently so no contract addresses exist
stub.GetArgsReturns([][]byte{[]byte("getCode"), []byte("0000000000000000000000000000000000000001")})
})
It("does not error and returns empty bytes", func() {
res := evmcc.Invoke(stub)
Expect(res.Status).To(Equal(int32(shim.OK)))
Expect(string(res.Payload)).To(BeEmpty())
})
})
Context("when the queried contract address is malformed", func() {
BeforeEach(func() {
stub.GetArgsReturns([][]byte{[]byte("getCode"), []byte("malformed-address")})
})
It("returns an error", func() {
res := evmcc.Invoke(stub)
Expect(res.Status).To(Equal(int32(shim.ERROR)))
Expect(res.Message).To(ContainSubstring("failed to decode callee address"))
})
})
})
Describe("Voting DApp", func() {
var (
/* Voting App from https://solidity.readthedocs.io/en/develop/solidity-by-example.html#voting
pragma solidity ^0.4.16;
/// @title Voting with delegation.
contract Ballot {
// This declares a new complex type which will
// be used for variables later.
// It will represent a single voter.
struct Voter {
uint weight; // weight is accumulated by delegation
bool voted; // if true, that person already voted
address delegate; // person delegated to
uint vote; // index of the voted proposal
}
// This is a type for a single proposal.
struct Proposal {
bytes32 name; // short name (up to 32 bytes)
uint voteCount; // number of accumulated votes
}
address public chairperson;
// This declares a state variable that
// stores a `Voter` struct for each possible address.
mapping(address => Voter) public voters;
// A dynamically-sized array of `Proposal` structs.
Proposal[] public proposals;
/// Create a new ballot to choose one of `proposalNames`.
function Ballot(bytes32[] proposalNames) public {
chairperson = msg.sender;
voters[chairperson].weight = 1;
// For each of the provided proposal names,
// create a new proposal object and add it
// to the end of the array.
for (uint i = 0; i < proposalNames.length; i++) {
// `Proposal({...})` creates a temporary
// Proposal object and `proposals.push(...)`
// appends it to the end of `proposals`.
proposals.push(Proposal({
name: proposalNames[i],
voteCount: 0
}));
}
}
// Give `voter` the right to vote on this ballot.
// May only be called by `chairperson`.
function giveRightToVote(address voter) public {
// If the argument of `require` evaluates to `false`,
// it terminates and reverts all changes to
// the state and to Ether balances. It is often
// a good idea to use this if functions are
// called incorrectly. But watch out, this
// will currently also consume all provided gas
// (this is planned to change in the future).
require((msg.sender == chairperson) && !voters[voter].voted && (voters[voter].weight == 0));
voters[voter].weight = 1;
}
/// Delegate your vote to the voter `to`.
function delegate(address to) public {
// assigns reference
Voter storage sender = voters[msg.sender];
require(!sender.voted);
// Self-delegation is not allowed.
require(to != msg.sender);
// Forward the delegation as long as
// `to` also delegated.
// In general, such loops are very dangerous,
// because if they run too long, they might
// need more gas than is available in a block.
// In this case, the delegation will not be executed,
// but in other situations, such loops might
// cause a contract to get "stuck" completely.
while (voters[to].delegate != address(0)) {
to = voters[to].delegate;
// We found a loop in the delegation, not allowed.
require(to != msg.sender);
}
// Since `sender` is a reference, this
// modifies `voters[msg.sender].voted`
sender.voted = true;
sender.delegate = to;
Voter storage delegate = voters[to];
if (delegate.voted) {
// If the delegate already voted,
// directly add to the number of votes
proposals[delegate.vote].voteCount += sender.weight;
} else {
// If the delegate did not vote yet,
// add to her weight.
delegate.weight += sender.weight;
}
}
/// Give your vote (including votes delegated to you)
/// to proposal `proposals[proposal].name`.
function vote(uint proposal) public {
Voter storage sender = voters[msg.sender];
require(!sender.voted);
sender.voted = true;
sender.vote = proposal;
// If `proposal` is out of the range of the array,
// this will throw automatically and revert all
// changes.
proposals[proposal].voteCount += sender.weight;
}
/// @dev Computes the winning proposal taking all
/// previous votes into account.
function winningProposal() public view
returns (uint winningProposal)
{
uint winningVoteCount = 0;
for (uint p = 0; p < proposals.length; p++) {
if (proposals[p].voteCount > winningVoteCount) {
winningVoteCount = proposals[p].voteCount;
winningProposal = p;
}
}
}
// Calls winningProposal() function to get the index
// of the winner contained in the proposals array and then
// returns the name of the winner
function winnerName() public view
returns (bytes32 winnerName)
{
winnerName = proposals[winningProposal()].name;
}
}
*/
contractByteCode = "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"
runtimeByteCode = "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"
// encoded bytes for ["a", "b"]
// It consists of four elements which take byte32 each:
// - 0x20 the location of data
// - 0x2 the length of array
// - 0x61 left-aligned 'a'
// - 0x62 left-aligned 'b'
constructorArgs = "0000000000000000000000000000000000000000000000000000000000000020000000000000000000000000000000000000000000000000000000000000000261000000000000000000000000000000000000000000000000000000000000006200000000000000000000000000000000000000000000000000000000000000"
// Method hash
giveRightToVote = "9e7b8d61"
proposals = "013cf08b"
vote = "0121b93f"
winnerName = "e2ba53f0"
voters = "a3ec138d"
user1Cert = `-----BEGIN CERTIFICATE-----
MIICGTCCAcCgAwIBAgIRAOdmptMzz5y0A9GOgFLxRNcwCgYIKoZIzj0EAwIwczEL
MAkGA1UEBhMCVVMxEzARBgNVBAgTCkNhbGlmb3JuaWExFjAUBgNVBAcTDVNhbiBG
cmFuY2lzY28xGTAXBgNVBAoTEG9yZzEuZXhhbXBsZS5jb20xHDAaBgNVBAMTE2Nh
Lm9yZzEuZXhhbXBsZS5jb20wHhcNMTgwMjEyMDY0MDMyWhcNMjgwMjEwMDY0MDMy
WjBbMQswCQYDVQQGEwJVUzETMBEGA1UECBMKQ2FsaWZvcm5pYTEWMBQGA1UEBxMN
U2FuIEZyYW5jaXNjbzEfMB0GA1UEAwwWVXNlcjFAb3JnMS5leGFtcGxlLmNvbTBZ
MBMGByqGSM49AgEGCCqGSM49AwEHA0IABEwsU2N6Kqrtl73S7+7/nD/LTfDFVWO4
q3MTtbckd6MH2zTUj9idLoaQ5VNGJVTRRPs+O6bxlvl0Mitu1rcXFoyjTTBLMA4G
A1UdDwEB/wQEAwIHgDAMBgNVHRMBAf8EAjAAMCsGA1UdIwQkMCKAIKtXuAgSGNzS
0Yz91W08FSieahwkOU7pWJvh86pkNuxSMAoGCCqGSM49BAMCA0cAMEQCIDOGUUvv
SgCqSQONblgBtkKuKgN36VgX+jLhZbaqMNAtAiBXiAHbgYdu3UHBVJwdTYxuFTWJ
Vc4foA7mruwjI8sEng==
-----END CERTIFICATE-----`
user2Cert = `-----BEGIN CERTIFICATE-----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-----END CERTIFICATE-----`
user1 = marshalCreator("TestOrg", []byte(user1Cert))
user2 = marshalCreator("TestOrg", []byte(user2Cert))
deployCode []byte
contractAddress crypto.Address
)
BeforeEach(func() {
deployCode = []byte(contractByteCode + constructorArgs)
// zero address, and deploy code is contract creation
stub.GetArgsReturns([][]byte{[]byte(crypto.ZeroAddress.String()), deployCode})
res := evmcc.Invoke(stub)
Expect(res.Status).To(Equal(int32(shim.OK)))
//check that contract account has been created
value := fakeLedger[string(res.Payload)]
contractAcct, err := acm.Decode(value)
Expect(err).ToNot(HaveOccurred())
Expect(hex.EncodeToString(contractAcct.Code.Bytes())).To(Equal(runtimeByteCode))
contractAddress, err = crypto.AddressFromHexString(string(res.Payload))
Expect(err).ToNot(HaveOccurred())
})
It("is able to properly initialize proposals through constructor", func() {
//invoke proposals(x) to see if constructor args are properly stored
stub.GetArgsReturns([][]byte{[]byte(contractAddress.String()), []byte(proposals + "0000000000000000000000000000000000000000000000000000000000000000")})
res := evmcc.Invoke(stub)
Expect(res.Status).To(Equal(int32(shim.OK)))
Expect(hex.EncodeToString(res.Payload)).To(Equal("61000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000"))
stub.GetArgsReturns([][]byte{[]byte(contractAddress.String()), []byte(proposals + "0000000000000000000000000000000000000000000000000000000000000001")})
res = evmcc.Invoke(stub)
Expect(res.Status).To(Equal(int32(shim.OK)))
Expect(hex.EncodeToString(res.Payload)).To(Equal("62000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000"))
})
Context("when user1 is given right to vote", func() {
var baseCallCount int
BeforeEach(func() {
addr, err := address.IdentityToAddr([]byte(user1))
Expect(err).ToNot(HaveOccurred())
user1Addr, err := crypto.AddressFromBytes(addr)
Expect(err).ToNot(HaveOccurred())
stub.GetArgsReturns([][]byte{[]byte(contractAddress.String()), []byte(giveRightToVote + hex.EncodeToString(user1Addr.Word256().Bytes()))})
res := evmcc.Invoke(stub)
Expect(res.Status).To(Equal(int32(shim.OK)))
baseCallCount = stub.PutStateCallCount()
})
Context("when user1 votes for proposal 'a'", func() {
BeforeEach(func() {
stub.GetArgsReturns([][]byte{[]byte(contractAddress.String()), []byte(vote + "0000000000000000000000000000000000000000000000000000000000000000")})
stub.GetCreatorReturns(user1, nil)
res := evmcc.Invoke(stub)
Expect(res.Status).To(Equal(int32(shim.OK)))
Expect(stub.PutStateCallCount()).To(Equal(baseCallCount+5), "`vote` should perform 5 writes: contract account, length of proposals, sender.voted, sender.vote, voteCount")
})
It("sets the variables of voter 1 (user1) properly", func() {
addr, err := address.IdentityToAddr([]byte(user1))
Expect(err).ToNot(HaveOccurred())
user1addr, err := crypto.AddressFromBytes(addr)
Expect(err).ToNot(HaveOccurred())
stub.GetArgsReturns([][]byte{[]byte(contractAddress.String()), []byte(voters + hex.EncodeToString(user1addr.Word256().Bytes()))})
res := evmcc.Invoke(stub)
Expect(res.Status).To(Equal(int32(shim.OK)))
Expect(hex.EncodeToString(res.Payload)).To(Equal("0000000000000000000000000000000000000000000000000000000000000001000000000000000000000000000000000000000000000000000000000000000100000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000"))
})
It("increments vote count of proposal 'a'", func() {
stub.GetArgsReturns([][]byte{[]byte(contractAddress.String()), []byte(proposals + "0000000000000000000000000000000000000000000000000000000000000000")})
res := evmcc.Invoke(stub)
Expect(res.Status).To(Equal(int32(shim.OK)))
Expect(hex.EncodeToString(res.Payload)).To(Equal("61000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000001"))
})
It("should make proposal 'a' winner", func() {
stub.GetArgsReturns([][]byte{[]byte(contractAddress.String()), []byte(winnerName)})
res := evmcc.Invoke(stub)
Expect(res.Status).To(Equal(int32(shim.OK)))
Expect(hex.EncodeToString(res.Payload)).To(Equal("6100000000000000000000000000000000000000000000000000000000000000"))
})
})
Context("when user2 votes for proposal 'a'", func() {
BeforeEach(func() {
stub.GetArgsReturns([][]byte{[]byte(contractAddress.String()), []byte(vote + "0000000000000000000000000000000000000000000000000000000000000000")})
stub.GetCreatorReturns(user2, nil)
res := evmcc.Invoke(stub)
baseCallCount = stub.PutStateCallCount()
Expect(res.Status).To(Equal(int32(shim.OK)))
Expect(stub.PutStateCallCount()).To(Equal(baseCallCount), "require(!sender.voted) should fail, therefore NO write should be performed")
})
It("does not increment vote count of proposal 'a'", func() {
stub.GetArgsReturns([][]byte{[]byte(contractAddress.String()), []byte(proposals + "0000000000000000000000000000000000000000000000000000000000000000")})
res := evmcc.Invoke(stub)
Expect(stub.PutStateCallCount()).To(Equal(baseCallCount), "query should not write to ledger")
Expect(res.Status).To(Equal(int32(shim.OK)))
Expect(hex.EncodeToString(res.Payload)).To(Equal("61000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000"))
})
})
})
})
Context("when a smart contract has events", func() {
var (
userCert = `-----BEGIN CERTIFICATE-----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-----END CERTIFICATE-----`
creator = marshalCreator("TestOrg", []byte(userCert))
/*
pragma solidity ^0.5.0;
contract Instructor {
bytes32 fName;
uint age;
uint salary;
event Setter(bytes32 indexed name, uint age, uint salary);
constructor (bytes32 _fName, uint _age, uint _salary) public{
fName = _fName;
age = _age;
salary = _salary;
emit Setter(_fName,age, _salary);
}
function setInstructor(bytes32 _fName, uint _age, uint _salary) public {
fName = _fName;
age = _age;
salary = _salary;
emit Setter(_fName,age, _salary);
}
function getInstructor() public view returns (bytes32, uint, uint) {
return (fName, age, salary);
}
}
*/
deployCode = "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"
contractAddress crypto.Address
SET = "31fb1dff" //"setInstructor(bytes32,uint256,uint256)"
GET = "3c1b81a5" //"getInstructor()"
msg event.Event
messagePayloads []event.Event
)
Context("when a contract has events in the constructor", func() {
It("sets a chaincode event", func() {
// Set contract creator
stub.GetCreatorReturns(creator, nil)
// First arg is the hex encoded name "Pam"
// Second arg is the hex encoded value 30
// Third arg is the hex encoded value 20000
stub.GetArgsReturns([][]byte{[]byte(crypto.ZeroAddress.String()), []byte(deployCode + "50616d0000000000000000000000000000000000000000000000000000000000" + "000000000000000000000000000000000000000000000000000000000000001e" + "0000000000000000000000000000000000000000000000000000000000004e20")})
var topics []string
//First topic refers to the Event: sha3('Setter(bytes32, uint256, uint256)')
topic := "e920a6ca2d94687457e136223552305dbabca6f28cf9c65d18efc2193a2369b0"
topics = append(topics, topic)
// Second topic is the value of the first indexed param of the event. In this case it is the name in bytes. The value is "Pam" in hex
topic = "50616d0000000000000000000000000000000000000000000000000000000000"
topics = append(topics, topic)
//Data contains the non indexed elements of the event concatenated together. Remaining values are age and salary which are hex encoded
// 0x000000000000000000000000000000000000000000000000000000000000001e is 30 (age)
// 0x0000000000000000000000000000000000000000000000000000000000004e20 is 20000 (salary)
data := "000000000000000000000000000000000000000000000000000000000000001e0000000000000000000000000000000000000000000000000000000000004e20"
res := evmcc.Invoke(stub)
Expect(res.Status).To(Equal(int32(shim.OK)))
var err error
contractAddress, err = crypto.AddressFromHexString(string(res.Payload))
Expect(err).ToNot(HaveOccurred())
Expect(fakeLedger).To(HaveKey(strings.ToLower(contractAddress.String())))
msg = event.Event{
Address: strings.ToLower(contractAddress.String()),
Topics: topics,
Data: data,
}
messagePayloads = []event.Event{msg}
msg.Address = strings.ToLower(contractAddress.String())
expectedPayload, err := json.Marshal(messagePayloads)
Expect(err).ToNot(HaveOccurred())
Expect(stub.SetEventCallCount()).To(Equal(1))
setEventName, setEventPayload := stub.SetEventArgsForCall(0)
Expect(setEventName).To(Equal(hex.EncodeToString(contractAddress[0:4])))
Expect(setEventName).To(HaveLen(8))
Expect(setEventPayload).To(Equal(expectedPayload))
var unmarshaledPayloads []event.Event
err = json.Unmarshal(setEventPayload, &unmarshaledPayloads)
Expect(err).ToNot(HaveOccurred())
Expect(unmarshaledPayloads).To(Equal(messagePayloads))
})
})
Context("when a smart contract has events in its functions ", func() {
BeforeEach(func() {
// Set contract creator
stub.GetCreatorReturns(creator, nil)
// zero address, and deploy code is contract creation
stub.GetArgsReturns([][]byte{[]byte(crypto.ZeroAddress.String()), []byte(deployCode + "53616d0000000000000000000000000000000000000000000000000000000000" + "000000000000000000000000000000000000000000000000000000000000001e" + "0000000000000000000000000000000000000000000000000000000000004e20")})
res := evmcc.Invoke(stub)
Expect(res.Status).To(Equal(int32(shim.OK)))
var err error
contractAddress, err = crypto.AddressFromHexString(string(res.Payload))
Expect(err).ToNot(HaveOccurred())
Expect(fakeLedger).To(HaveKey(strings.ToLower(contractAddress.String())))
topics := []string{}
//First topic refers to the Event: sha3('Setter(bytes32, uint256, uint256)')
topic := "e920a6ca2d94687457e136223552305dbabca6f28cf9c65d18efc2193a2369b0"
topics = append(topics, topic)
// Second topic is the value of the first indexed param of the event. In this case it is the name in bytes. The value is "Sam" in hex
topic = "53616d0000000000000000000000000000000000000000000000000000000000"
topics = append(topics, topic)
//Data contains the non indexed elements of the event concatenated together. Remaining values are age and salary which are hex encoded
// 0x0000000000000000000000000000000000000000000000000000000000000019 is 25 (age)
// 0x0000000000000000000000000000000000000000000000000000000000007530 is 30000 (salary)
data := "00000000000000000000000000000000000000000000000000000000000000190000000000000000000000000000000000000000000000000000000000007530"
msg = event.Event{
Address: strings.ToLower(contractAddress.String()),
Topics: topics,
Data: data,
}
messagePayloads = []event.Event{msg}
})
Context("if the method called emits event(s)", func() {
It("sets the chaincode event", func() {
// The 3 values following SET are the arguments to SET. All 3 are hex encoded
// First arg is the hex encoded name "Sam"
// Second arg is the hex encoded value 25
// Third arg is the hex encoded value 30000
stub.GetArgsReturns([][]byte{[]byte(contractAddress.String()), []byte(SET + "53616d0000000000000000000000000000000000000000000000000000000000" + "0000000000000000000000000000000000000000000000000000000000000019" + "0000000000000000000000000000000000000000000000000000000000007530")})
initialEventCallCount := stub.SetEventCallCount()
res := evmcc.Invoke(stub)
Expect(res.Status).To(Equal(int32(shim.OK)))
expectedPayload, ok := json.Marshal(messagePayloads)
Expect(ok).ToNot(HaveOccurred())
Expect(stub.SetEventCallCount()).To(Equal(initialEventCallCount + 1))
setEventName, setEventPayload := stub.SetEventArgsForCall(initialEventCallCount)
Expect(setEventName).To(Equal(SET))
Expect(setEventPayload).To(Equal([]byte(expectedPayload)))
var unmarshaledPayloads []event.Event
err := json.Unmarshal(setEventPayload, &unmarshaledPayloads)
Expect(err).ToNot(HaveOccurred())
Expect(unmarshaledPayloads).To(Equal(messagePayloads))
})
})
Context("if the method called does not emit any events", func() {
It("doesn't set any chaincode event", func() {
stub.GetArgsReturns([][]byte{[]byte(contractAddress.String()), []byte(GET)})
initialEventCallCount := stub.SetEventCallCount()
res := evmcc.Invoke(stub)
Expect(res.Status).To(Equal(int32(shim.OK)))
Expect(stub.SetEventCallCount()).To(Equal(initialEventCallCount))
})
})
})
})
Context("when a smart contract creates other smart contracts", func() {
/*
pragma solidity ^0.5.0;
contract SimpleStorage {
uint storedData;
function set(uint x) public {
storedData = x;
}
function get() public view returns (uint) {
return storedData;
}
}
contract SimpleStorageCreator {
function createSimpleStorage() public returns (SimpleStorage simpleStorageAddress){
return new SimpleStorage();
}
}
*/
var (
deployCode = "608060405234801561001057600080fd5b50610204806100206000396000f3fe60806040526004361061003b576000357c01000000000000000000000000000000000000000000000000000000009004806340d66b3b14610040575b600080fd5b34801561004c57600080fd5b50610055610097565b604051808273ffffffffffffffffffffffffffffffffffffffff1673ffffffffffffffffffffffffffffffffffffffff16815260200191505060405180910390f35b60006100a16100c3565b604051809103906000f0801580156100bd573d6000803e3d6000fd5b50905090565b604051610105806100d48339019056fe608060405234801561001057600080fd5b5060e68061001f6000396000f3fe6080604052600436106043576000357c01000000000000000000000000000000000000000000000000000000009004806360fe47b11460485780636d4ce63c14607f575b600080fd5b348015605357600080fd5b50607d60048036036020811015606857600080fd5b810190808035906020019092919050505060a7565b005b348015608a57600080fd5b50609160b1565b6040518082815260200191505060405180910390f35b8060008190555050565b6000805490509056fea165627a7a723058204fba53eb31e370bbdbe1f1064d4e2a6aa794f3533a7563265edde21d4e8563b40029a165627a7a723058208317acddf85b105bfe01677c962f5e4493cfc1b65fcd91dfc3474d3bd4be2eeb0029"
runtimeCode = "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"
contractAddress crypto.Address
CREATESIMPLESTORAGE = "40d66b3b"
SET = "60fe47b1"
GET = "6d4ce63c"
)
It("creates a new contract account", func() {
// Set contract creator
stub.GetCreatorReturns(creator, nil)
//Deploying SimpleStorageCreator
stub.GetArgsReturns([][]byte{[]byte(crypto.ZeroAddress.String()), []byte(deployCode)})
res := evmcc.Invoke(stub)
Expect(res.Status).To(Equal(int32(shim.OK)))
//check that contract account has been created
value := fakeLedger[string(res.Payload)]
contractAcct, err := acm.Decode(value)
Expect(err).ToNot(HaveOccurred())
Expect(hex.EncodeToString(contractAcct.Code.Bytes())).To(Equal(runtimeCode))
contractAddress, err = crypto.AddressFromHexString(string(res.Payload))
Expect(err).ToNot(HaveOccurred())
// Invoke createSimpleStorage()
stub.GetArgsReturns([][]byte{[]byte(contractAddress.String()), []byte(CREATESIMPLESTORAGE)})
res = evmcc.Invoke(stub)
Expect(res.Status).To(Equal(int32(shim.OK)))
//Returned value has 12 bytes of leading zeros than 20 bytes which is the address
createdContractAddr, err := crypto.AddressFromHexString(hex.EncodeToString(res.Payload[len(res.Payload)-20:]))
Expect(err).ToNot(HaveOccurred())
//Invoke the SimpleStorage contract that was created previously
stub.GetArgsReturns([][]byte{[]byte(createdContractAddr.String()), []byte(SET + "000000000000000000000000000000000000000000000000000000000000002a")})
res = evmcc.Invoke(stub)
Expect(res.Status).To(Equal(int32(shim.OK)))
//Get the previously set value
stub.GetArgsReturns([][]byte{[]byte(createdContractAddr.String()), []byte(GET)})
res = evmcc.Invoke(stub)
Expect(res.Status).To(Equal(int32(shim.OK)))
Expect(hex.EncodeToString(res.Payload)).To(Equal("000000000000000000000000000000000000000000000000000000000000002a"))
})
})
})
})
================================================
FILE: evmcc/go.mod
================================================
module github.com/hyperledger/fabric-chaincode-evm/evmcc
require (
github.com/Knetic/govaluate v3.0.0+incompatible // indirect
github.com/Shopify/sarama v1.24.0 // indirect
github.com/btcsuite/btcd v0.20.0-beta // indirect
github.com/fsouza/go-dockerclient v1.3.0 // indirect
github.com/gogo/protobuf v1.3.1
github.com/golang/protobuf v1.3.2
github.com/grpc-ecosystem/go-grpc-middleware v1.1.0 // indirect
github.com/hashicorp/go-version v1.2.0 // indirect
github.com/hyperledger/burrow v0.24.4
github.com/hyperledger/fabric v1.4.0
github.com/hyperledger/fabric-amcl v0.0.0-20190902191507-f66264322317 // indirect
github.com/klauspost/cpuid v1.2.1 // indirect
github.com/miekg/pkcs11 v1.0.3 // indirect
github.com/onsi/ginkgo v1.10.2
github.com/onsi/gomega v1.7.0
github.com/op/go-logging v0.0.0-20160315200505-970db520ece7 // indirect
github.com/sykesm/zap-logfmt v0.0.2 // indirect
github.com/tendermint/go-amino v0.15.1 // indirect
github.com/tendermint/tendermint v0.32.6 // indirect
github.com/tmthrgd/go-hex v0.0.0-20190904060850-447a3041c3bc // indirect
golang.org/x/crypto v0.0.0-20191011191535-87dc89f01550
golang.org/x/sys v0.0.0-20191020212454-3e7259c5e7c2 // indirect
google.golang.org/appengine v1.4.0 // indirect
google.golang.org/grpc v1.24.0 // indirect
)
================================================
FILE: evmcc/go.sum
================================================
cloud.google.com/go v0.26.0/go.mod h1:aQUYkXzVsufM+DwF1aE+0xfcU+56JwCaLick0ClmMTw=
github.com/Azure/go-ansiterm v0.0.0-20170929234023-d6e3b3328b78 h1:w+iIsaOQNcT7OZ575w+acHgRric5iCyQh+xv+KJ4HB8=
github.com/Azure/go-ansiterm v0.0.0-20170929234023-d6e3b3328b78/go.mod h1:LmzpDX56iTiv29bbRTIsUNlaFfuhWRQBWjQdVyAevI8=
github.com/BurntSushi/toml v0.3.1/go.mod h1:xHWCNGjB5oqiDr8zfno3MHue2Ht5sIBksp03qcyfWMU=
github.com/Knetic/govaluate v3.0.0+incompatible/go.mod h1:r7JcOSlj0wfOMncg0iLm8Leh48TZaKVeNIfJntJ2wa0=
github.com/Microsoft/go-winio v0.4.11 h1:zoIOcVf0xPN1tnMVbTtEdI+P8OofVk3NObnwOQ6nK2Q=
github.com/Microsoft/go-winio v0.4.11/go.mod h1:VhR8bwka0BXejwEJY73c50VrPtXAaKcyvVC4A4RozmA=
github.com/Nvveen/Gotty v0.0.0-20120604004816-cd527374f1e5 h1:TngWCqHvy9oXAN6lEVMRuU21PR1EtLVZJmdB18Gu3Rw=
github.com/Nvveen/Gotty v0.0.0-20120604004816-cd527374f1e5/go.mod h1:lmUJ/7eu/Q8D7ML55dXQrVaamCz2vxCfdQBasLZfHKk=
github.com/OneOfOne/xxhash v1.2.2/go.mod h1:HSdplMjZKSmBqAxg5vPj2TmRDmfkzw+cTzAElWljhcU=
github.com/Shopify/sarama v1.24.0/go.mod h1:fGP8eQ6PugKEI0iUETYYtnP6d1pH/bdDMTel1X5ajsU=
github.com/Shopify/toxiproxy v2.1.4+incompatible/go.mod h1:OXgGpZ6Cli1/URJOF1DMxUHB2q5Ap20/P/eIdh4G0pI=
github.com/VividCortex/gohistogram v1.0.0/go.mod h1:Pf5mBqqDxYaXu3hDrrU+w6nw50o/4+TcAqDqk/vUH7g=
github.com/Workiva/go-datastructures v1.0.50/go.mod h1:Z+F2Rca0qCsVYDS8z7bAGm8f3UkzuWYS/oBZz5a7VVA=
github.com/aead/siphash v1.0.1/go.mod h1:Nywa3cDsYNNK3gaciGTWPwHt0wlpNV15vwmswBAUSII=
github.com/alecthomas/template v0.0.0-20160405071501-a0175ee3bccc/go.mod h1:LOuyumcjzFXgccqObfd/Ljyb9UuFJ6TxHnclSeseNhc=
github.com/alecthomas/units v0.0.0-20151022065526-2efee857e7cf/go.mod h1:ybxpYRFXyAe+OPACYpWeL0wqObRcbAqCMya13uyzqw0=
github.com/armon/consul-api v0.0.0-20180202201655-eb2c6b5be1b6/go.mod h1:grANhF5doyWs3UAsr3K4I6qtAmlQcZDesFNEHPZAzj8=
github.com/beorn7/perks v0.0.0-20180321164747-3a771d992973/go.mod h1:Dwedo/Wpr24TaqPxmxbtue+5NUziq4I4S80YR8gNf3Q=
github.com/beorn7/perks v1.0.0/go.mod h1:KWe93zE9D1o94FZ5RNwFwVgaQK1VOXiVxmqh+CedLV8=
github.com/btcsuite/btcd v0.0.0-20190115013929-ed77733ec07d/go.mod h1:d3C0AkH6BRcvO8T0UEPu53cnw4IbV63x1bEjildYhO0=
github.com/btcsuite/btcd v0.20.0-beta h1:PamBMopnHxO2nEIsU89ibVVnqnXR2yFTgGNc+PdG68o=
github.com/btcsuite/btcd v0.20.0-beta/go.mod h1:wVuoA8VJLEcwgqHBwHmzLRazpKxTv13Px/pDuV7OomQ=
github.com/btcsuite/btclog v0.0.0-20170628155309-84c8d2346e9f/go.mod h1:TdznJufoqS23FtqVCzL0ZqgP5MqXbb4fg/WgDys70nA=
github.com/btcsuite/btcutil v0.0.0-20180706230648-ab6388e0c60a/go.mod h1:+5NJ2+qvTyV9exUAL/rxXi3DcLg2Ts+ymUAY5y4NvMg=
github.com/btcsuite/btcutil v0.0.0-20190425235716-9e5f4b9a998d/go.mod h1:+5NJ2+qvTyV9exUAL/rxXi3DcLg2Ts+ymUAY5y4NvMg=
github.com/btcsuite/go-socks v0.0.0-20170105172521-4720035b7bfd/go.mod h1:HHNXQzUsZCxOoE+CPiyCTO6x34Zs86zZUiwtpXoGdtg=
github.com/btcsuite/goleveldb v0.0.0-20160330041536-7834afc9e8cd/go.mod h1:F+uVaaLLH7j4eDXPRvw78tMflu7Ie2bzYOH4Y8rRKBY=
github.com/btcsuite/snappy-go v0.0.0-20151229074030-0bdef8d06723/go.mod h1:8woku9dyThutzjeg+3xrA5iCpBRH8XEEg3lh6TiUghc=
github.com/btcsuite/websocket v0.0.0-20150119174127-31079b680792/go.mod h1:ghJtEyQwv5/p4Mg4C0fgbePVuGr935/5ddU9Z3TmDRY=
github.com/btcsuite/winsvc v1.0.0/go.mod h1:jsenWakMcC0zFBFurPLEAyrnc/teJEM1O46fmI40EZs=
github.com/cespare/xxhash v1.1.0/go.mod h1:XrSqR1VqqWfGrhpAt58auRo0WTKS1nRRg3ghfAqPWnc=
github.com/client9/misspell v0.3.4/go.mod h1:qj6jICC3Q7zFZvVWo7KLAzC3yx5G7kyvSDkc90ppPyw=
github.com/containerd/continuity v0.0.0-20180814194400-c7c5070e6f6e h1:KEBqsIJcjops96ysfjRTg3x6STnVHBxe7CZLwwnlkWA=
github.com/containerd/continuity v0.0.0-20180814194400-c7c5070e6f6e/go.mod h1:GL3xCUCBDV3CZiTSEKksMWbLE66hEyuu9qyDOOqM47Y=
github.com/coreos/bbolt v1.3.2/go.mod h1:iRUV2dpdMOn7Bo10OQBFzIJO9kkE559Wcmn+qkEiiKk=
github.com/coreos/etcd v3.3.10+incompatible/go.mod h1:uF7uidLiAD3TWHmW31ZFd/JWoc32PjwdhPthX9715RE=
github.com/coreos/go-semver v0.2.0/go.mod h1:nnelYz7RCh+5ahJtPPxZlU+153eP4D4r3EedlOD2RNk=
github.com/coreos/go-systemd v0.0.0-20190321100706-95778dfbb74e/go.mod h1:F5haX7vjVVG0kc13fIWeqUViNPyEJxv/OmvnBo0Yme4=
github.com/coreos/pkg v0.0.0-20180928190104-399ea9e2e55f/go.mod h1:E3G3o1h8I7cfcXa63jLwjI0eiQQMgzzUDFVpN/nH/eA=
github.com/davecgh/go-spew v0.0.0-20171005155431-ecdeabc65495/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38=
github.com/davecgh/go-spew v1.1.0/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38=
github.com/davecgh/go-spew v1.1.1 h1:vj9j/u1bqnvCEfJOwUhtlOARqs3+rkHYY13jYWTU97c=
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github.com/spf13/jwalterweatherman v1.0.0 h1:XHEdyB+EcvlqZamSM4ZOMGlc93t6AcsBEu9Gc1vn7yk=
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github.com/spf13/pflag v1.0.3 h1:zPAT6CGy6wXeQ7NtTnaTerfKOsV6V6F8agHXFiazDkg=
github.com/spf13/pflag v1.0.3/go.mod h1:DYY7MBk1bdzusC3SYhjObp+wFpr4gzcvqqNjLnInEg4=
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github.com/stretchr/objx v0.1.0/go.mod h1:HFkY916IF+rwdDfMAkV7OtwuqBVzrE8GR6GFx+wExME=
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github.com/tendermint/tendermint v0.32.6 h1:HozXi0USWvKrWuEh5ratnJV10ykkTy4nwXUi0UvPVzg=
github.com/tendermint/tendermint v0.32.6/go.mod h1:D2+A3pNjY+Po72X0mTfaXorFhiVI8dh/Zg640FGyGtE=
github.com/tendermint/tm-db v0.2.0/go.mod h1:0cPKWu2Mou3IlxecH+MEUSYc1Ch537alLe6CpFrKzgw=
github.com/tmc/grpc-websocket-proxy v0.0.0-20190109142713-0ad062ec5ee5/go.mod h1:ncp9v5uamzpCO7NfCPTXjqaC+bZgJeR0sMTm6dMHP7U=
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github.com/vishvananda/netlink v1.0.0/go.mod h1:+SR5DhBJrl6ZM7CoCKvpw5BKroDKQ+PJqOg65H/2ktk=
github.com/vishvananda/netns v0.0.0-20180720170159-13995c7128cc/go.mod h1:ZjcWmFBXmLKZu9Nxj3WKYEafiSqer2rnvPr0en9UNpI=
github.com/xdg/scram v0.0.0-20180814205039-7eeb5667e42c/go.mod h1:lB8K/P019DLNhemzwFU4jHLhdvlE6uDZjXFejJXr49I=
github.com/xdg/stringprep v1.0.0/go.mod h1:Jhud4/sHMO4oL310DaZAKk9ZaJ08SJfe+sJh0HrGL1Y=
github.com/xiang90/probing v0.0.0-20190116061207-43a291ad63a2/go.mod h1:UETIi67q53MR2AWcXfiuqkDkRtnGDLqkBTpCHuJHxtU=
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go.etcd.io/bbolt v1.3.2/go.mod h1:IbVyRI1SCnLcuJnV2u8VeU0CEYM7e686BmAb1XKL+uU=
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golang.org/x/crypto v0.0.0-20180904163835-0709b304e793/go.mod h1:6SG95UA2DQfeDnfUPMdvaQW0Q7yPrPDi9nlGo2tz2b4=
golang.org/x/crypto v0.0.0-20190308221718-c2843e01d9a2/go.mod h1:djNgcEr1/C05ACkg1iLfiJU5Ep61QUkGW8qpdssI0+w=
golang.org/x/crypto v0.0.0-20190404164418-38d8ce5564a5/go.mod h1:WFFai1msRO1wXaEeE5yQxYXgSfI8pQAWXbQop6sCtWE=
golang.org/x/crypto v0.0.0-20191011191535-87dc89f01550 h1:ObdrDkeb4kJdCP557AjRjq69pTHfNouLtWZG7j9rPN8=
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golang.org/x/net v0.0.0-20190628185345-da137c7871d7/go.mod h1:z5CRVTTTmAJ677TzLLGU+0bjPO0LkuOLi4/5GtJWs/s=
golang.org/x/oauth2 v0.0.0-20180821212333-d2e6202438be/go.mod h1:N/0e6XlmueqKjAGxoOufVs8QHGRruUQn6yWY3a++T0U=
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golang.org/x/sys v0.0.0-20190403152447-81d4e9dc473e/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
golang.org/x/sys v0.0.0-20190412213103-97732733099d/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
golang.org/x/sys v0.0.0-20190422165155-953cdadca894/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
golang.org/x/sys v0.0.0-20191020212454-3e7259c5e7c2 h1:nq114VpM8lsSlP+lyUbANecYHYiFcSNFtqcBlxRV+gA=
golang.org/x/sys v0.0.0-20191020212454-3e7259c5e7c2/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
golang.org/x/text v0.3.0 h1:g61tztE5qeGQ89tm6NTjjM9VPIm088od1l6aSorWRWg=
golang.org/x/text v0.3.0/go.mod h1:NqM8EUOU14njkJ3fqMW+pc6Ldnwhi/IjpwHt7yyuwOQ=
golang.org/x/time v0.0.0-20190308202827-9d24e82272b4/go.mod h1:tRJNPiyCQ0inRvYxbN9jk5I+vvW/OXSQhTDSoE431IQ=
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golang.org/x/tools v0.0.0-20190114222345-bf090417da8b/go.mod h1:n7NCudcB/nEzxVGmLbDWY5pfWTLqBcC2KZ6jyYvM4mQ=
golang.org/x/tools v0.0.0-20190226205152-f727befe758c/go.mod h1:9Yl7xja0Znq3iFh3HoIrodX9oNMXvdceNzlUR8zjMvY=
golang.org/x/tools v0.0.0-20190311212946-11955173bddd/go.mod h1:LCzVGOaR6xXOjkQ3onu1FJEFr0SW1gC7cKk1uF8kGRs=
golang.org/x/tools v0.0.0-20190524140312-2c0ae7006135/go.mod h1:RgjU9mgBXZiqYHBnxXauZ1Gv1EHHAz9KjViQ78xBX0Q=
google.golang.org/appengine v1.1.0/go.mod h1:EbEs0AVv82hx2wNQdGPgUI5lhzA/G0D9YwlJXL52JkM=
google.golang.org/appengine v1.4.0/go.mod h1:xpcJRLb0r/rnEns0DIKYYv+WjYCduHsrkT7/EB5XEv4=
google.golang.org/genproto v0.0.0-20180817151627-c66870c02cf8/go.mod h1:JiN7NxoALGmiZfu7CAH4rXhgtRTLTxftemlI0sWmxmc=
google.golang.org/genproto v0.0.0-20180831171423-11092d34479b/go.mod h1:JiN7NxoALGmiZfu7CAH4rXhgtRTLTxftemlI0sWmxmc=
google.golang.org/genproto v0.0.0-20181029155118-b69ba1387ce2/go.mod h1:JiN7NxoALGmiZfu7CAH4rXhgtRTLTxftemlI0sWmxmc=
google.golang.org/genproto v0.0.0-20190819201941-24fa4b261c55 h1:gSJIx1SDwno+2ElGhA4+qG2zF97qiUzTM+rQ0klBOcE=
google.golang.org/genproto v0.0.0-20190819201941-24fa4b261c55/go.mod h1:DMBHOl98Agz4BDEuKkezgsaosCRResVns1a3J2ZsMNc=
google.golang.org/grpc v1.19.0/go.mod h1:mqu4LbDTu4XGKhr4mRzUsmM4RtVoemTSY81AxZiDr8c=
google.golang.org/grpc v1.21.0/go.mod h1:oYelfM1adQP15Ek0mdvEgi9Df8B9CZIaU1084ijfRaM=
google.golang.org/grpc v1.22.0/go.mod h1:Y5yQAOtifL1yxbo5wqy6BxZv8vAUGQwXBOALyacEbxg=
google.golang.org/grpc v1.23.1/go.mod h1:Y5yQAOtifL1yxbo5wqy6BxZv8vAUGQwXBOALyacEbxg=
google.golang.org/grpc v1.24.0 h1:vb/1TCsVn3DcJlQ0Gs1yB1pKI6Do2/QNwxdKqmc/b0s=
google.golang.org/grpc v1.24.0/go.mod h1:XDChyiUovWa60DnaeDeZmSW86xtLtjtZbwvSiRnRtcA=
gopkg.in/airbrake/gobrake.v2 v2.0.9/go.mod h1:/h5ZAUhDkGaJfjzjKLSjv6zCL6O0LLBxU4K+aSYdM/U=
gopkg.in/alecthomas/kingpin.v2 v2.2.6/go.mod h1:FMv+mEhP44yOT+4EoQTLFTRgOQ1FBLkstjWtayDeSgw=
gopkg.in/check.v1 v0.0.0-20161208181325-20d25e280405/go.mod h1:Co6ibVJAznAaIkqp8huTwlJQCZ016jof/cbN4VW5Yz0=
gopkg.in/check.v1 v1.0.0-20180628173108-788fd7840127/go.mod h1:Co6ibVJAznAaIkqp8huTwlJQCZ016jof/cbN4VW5Yz0=
gopkg.in/fsnotify.v1 v1.4.7 h1:xOHLXZwVvI9hhs+cLKq5+I5onOuwQLhQwiu63xxlHs4=
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gopkg.in/yaml.v2 v2.2.1/go.mod h1:hI93XBmqTisBFMUTm0b8Fm+jr3Dg1NNxqwp+5A1VGuI=
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honnef.co/go/tools v0.0.0-20190102054323-c2f93a96b099/go.mod h1:rf3lG4BRIbNafJWhAfAdb/ePZxsR/4RtNHQocxwk9r4=
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================================================
FILE: evmcc/mocks/mockstub.go
================================================
// Code generated by counterfeiter. DO NOT EDIT.
package mocks
import (
sync "sync"
timestamp "github.com/golang/protobuf/ptypes/timestamp"
shim "github.com/hyperledger/fabric/core/chaincode/shim"
peer "github.com/hyperledger/fabric/protos/peer"
)
type MockStub struct {
CreateCompositeKeyStub func(string, []string) (string, error)
createCompositeKeyMutex sync.RWMutex
createCompositeKeyArgsForCall []struct {
arg1 string
arg2 []string
}
createCompositeKeyReturns struct {
result1 string
result2 error
}
createCompositeKeyReturnsOnCall map[int]struct {
result1 string
result2 error
}
DelPrivateDataStub func(string, string) error
delPrivateDataMutex sync.RWMutex
delPrivateDataArgsForCall []struct {
arg1 string
arg2 string
}
delPrivateDataReturns struct {
result1 error
}
delPrivateDataReturnsOnCall map[int]struct {
result1 error
}
DelStateStub func(string) error
delStateMutex sync.RWMutex
delStateArgsForCall []struct {
arg1 string
}
delStateReturns struct {
result1 error
}
delStateReturnsOnCall map[int]struct {
result1 error
}
GetArgsStub func() [][]byte
getArgsMutex sync.RWMutex
getArgsArgsForCall []struct {
}
getArgsReturns struct {
result1 [][]byte
}
getArgsReturnsOnCall map[int]struct {
result1 [][]byte
}
GetArgsSliceStub func() ([]byte, error)
getArgsSliceMutex sync.RWMutex
getArgsSliceArgsForCall []struct {
}
getArgsSliceReturns struct {
result1 []byte
result2 error
}
getArgsSliceReturnsOnCall map[int]struct {
result1 []byte
result2 error
}
GetBindingStub func() ([]byte, error)
getBindingMutex sync.RWMutex
getBindingArgsForCall []struct {
}
getBindingReturns struct {
result1 []byte
result2 error
}
getBindingReturnsOnCall map[int]struct {
result1 []byte
result2 error
}
GetChannelIDStub func() string
getChannelIDMutex sync.RWMutex
getChannelIDArgsForCall []struct {
}
getChannelIDReturns struct {
result1 string
}
getChannelIDReturnsOnCall map[int]struct {
result1 string
}
GetCreatorStub func() ([]byte, error)
getCreatorMutex sync.RWMutex
getCreatorArgsForCall []struct {
}
getCreatorReturns struct {
result1 []byte
result2 error
}
getCreatorReturnsOnCall map[int]struct {
result1 []byte
result2 error
}
GetDecorationsStub func() map[string][]byte
getDecorationsMutex sync.RWMutex
getDecorationsArgsForCall []struct {
}
getDecorationsReturns struct {
result1 map[string][]byte
}
getDecorationsReturnsOnCall map[int]struct {
result1 map[string][]byte
}
GetFunctionAndParametersStub func() (string, []string)
getFunctionAndParametersMutex sync.RWMutex
getFunctionAndParametersArgsForCall []struct {
}
getFunctionAndParametersReturns struct {
result1 string
result2 []string
}
getFunctionAndParametersReturnsOnCall map[int]struct {
result1 string
result2 []string
}
GetHistoryForKeyStub func(string) (shim.HistoryQueryIteratorInterface, error)
getHistoryForKeyMutex sync.RWMutex
getHistoryForKeyArgsForCall []struct {
arg1 string
}
getHistoryForKeyReturns struct {
result1 shim.HistoryQueryIteratorInterface
result2 error
}
getHistoryForKeyReturnsOnCall map[int]struct {
result1 shim.HistoryQueryIteratorInterface
result2 error
}
GetPrivateDataStub func(string, string) ([]byte, error)
getPrivateDataMutex sync.RWMutex
getPrivateDataArgsForCall []struct {
arg1 string
arg2 string
}
getPrivateDataReturns struct {
result1 []byte
result2 error
}
getPrivateDataReturnsOnCall map[int]struct {
result1 []byte
result2 error
}
GetPrivateDataByPartialCompositeKeyStub func(string, string, []string) (shim.StateQueryIteratorInterface, error)
getPrivateDataByPartialCompositeKeyMutex sync.RWMutex
getPrivateDataByPartialCompositeKeyArgsForCall []struct {
arg1 string
arg2 string
arg3 []string
}
getPrivateDataByPartialCompositeKeyReturns struct {
result1 shim.StateQueryIteratorInterface
result2 error
}
getPrivateDataByPartialCompositeKeyReturnsOnCall map[int]struct {
result1 shim.StateQueryIteratorInterface
result2 error
}
GetPrivateDataByRangeStub func(string, string, string) (shim.StateQueryIteratorInterface, error)
getPrivateDataByRangeMutex sync.RWMutex
getPrivateDataByRangeArgsForCall []struct {
arg1 string
arg2 string
arg3 string
}
getPrivateDataByRangeReturns struct {
result1 shim.StateQueryIteratorInterface
result2 error
}
getPrivateDataByRangeReturnsOnCall map[int]struct {
result1 shim.StateQueryIteratorInterface
result2 error
}
GetPrivateDataQueryResultStub func(string, string) (shim.StateQueryIteratorInterface, error)
getPrivateDataQueryResultMutex sync.RWMutex
getPrivateDataQueryResultArgsForCall []struct {
arg1 string
arg2 string
}
getPrivateDataQueryResultReturns struct {
result1 shim.StateQueryIteratorInterface
result2 error
}
getPrivateDataQueryResultReturnsOnCall map[int]struct {
result1 shim.StateQueryIteratorInterface
result2 error
}
GetPrivateDataValidationParameterStub func(string, string) ([]byte, error)
getPrivateDataValidationParameterMutex sync.RWMutex
getPrivateDataValidationParameterArgsForCall []struct {
arg1 string
arg2 string
}
getPrivateDataValidationParameterReturns struct {
result1 []byte
result2 error
}
getPrivateDataValidationParameterReturnsOnCall map[int]struct {
result1 []byte
result2 error
}
GetQueryResultStub func(string) (shim.StateQueryIteratorInterface, error)
getQueryResultMutex sync.RWMutex
getQueryResultArgsForCall []struct {
arg1 string
}
getQueryResultReturns struct {
result1 shim.StateQueryIteratorInterface
result2 error
}
getQueryResultReturnsOnCall map[int]struct {
result1 shim.StateQueryIteratorInterface
result2 error
}
GetQueryResultWithPaginationStub func(string, int32, string) (shim.StateQueryIteratorInterface, *peer.QueryResponseMetadata, error)
getQueryResultWithPaginationMutex sync.RWMutex
getQueryResultWithPaginationArgsForCall []struct {
arg1 string
arg2 int32
arg3 string
}
getQueryResultWithPaginationReturns struct {
result1 shim.StateQueryIteratorInterface
result2 *peer.QueryResponseMetadata
result3 error
}
getQueryResultWithPaginationReturnsOnCall map[int]struct {
result1 shim.StateQueryIteratorInterface
result2 *peer.QueryResponseMetadata
result3 error
}
GetSignedProposalStub func() (*peer.SignedProposal, error)
getSignedProposalMutex sync.RWMutex
getSignedProposalArgsForCall []struct {
}
getSignedProposalReturns struct {
result1 *peer.SignedProposal
result2 error
}
getSignedProposalReturnsOnCall map[int]struct {
result1 *peer.SignedProposal
result2 error
}
GetStateStub func(string) ([]byte, error)
getStateMutex sync.RWMutex
getStateArgsForCall []struct {
arg1 string
}
getStateReturns struct {
result1 []byte
result2 error
}
getStateReturnsOnCall map[int]struct {
result1 []byte
result2 error
}
GetStateByPartialCompositeKeyStub func(string, []string) (shim.StateQueryIteratorInterface, error)
getStateByPartialCompositeKeyMutex sync.RWMutex
getStateByPartialCompositeKeyArgsForCall []struct {
arg1 string
arg2 []string
}
getStateByPartialCompositeKeyReturns struct {
result1 shim.StateQueryIteratorInterface
result2 error
}
getStateByPartialCompositeKeyReturnsOnCall map[int]struct {
result1 shim.StateQueryIteratorInterface
result2 error
}
GetStateByPartialCompositeKeyWithPaginationStub func(string, []string, int32, string) (shim.StateQueryIteratorInterface, *peer.QueryResponseMetadata, error)
getStateByPartialCompositeKeyWithPaginationMutex sync.RWMutex
getStateByPartialCompositeKeyWithPaginationArgsForCall []struct {
arg1 string
arg2 []string
arg3 int32
arg4 string
}
getStateByPartialCompositeKeyWithPaginationReturns struct {
result1 shim.StateQueryIteratorInterface
result2 *peer.QueryResponseMetadata
result3 error
}
getStateByPartialCompositeKeyWithPaginationReturnsOnCall map[int]struct {
result1 shim.StateQueryIteratorInterface
result2 *peer.QueryResponseMetadata
result3 error
}
GetStateByRangeStub func(string, string) (shim.StateQueryIteratorInterface, error)
getStateByRangeMutex sync.RWMutex
getStateByRangeArgsForCall []struct {
arg1 string
arg2 string
}
getStateByRangeReturns struct {
result1 shim.StateQueryIteratorInterface
result2 error
}
getStateByRangeReturnsOnCall map[int]struct {
result1 shim.StateQueryIteratorInterface
result2 error
}
GetStateByRangeWithPaginationStub func(string, string, int32, string) (shim.StateQueryIteratorInterface, *peer.QueryResponseMetadata, error)
getStateByRangeWithPaginationMutex sync.RWMutex
getStateByRangeWithPaginationArgsForCall []struct {
arg1 string
arg2 string
arg3 int32
arg4 string
}
getStateByRangeWithPaginationReturns struct {
result1 shim.StateQueryIteratorInterface
result2 *peer.QueryResponseMetadata
result3 error
}
getStateByRangeWithPaginationReturnsOnCall map[int]struct {
result1 shim.StateQueryIteratorInterface
result2 *peer.QueryResponseMetadata
result3 error
}
GetStateValidationParameterStub func(string) ([]byte, error)
getStateValidationParameterMutex sync.RWMutex
getStateValidationParameterArgsForCall []struct {
arg1 string
}
getStateValidationParameterReturns struct {
result1 []byte
result2 error
}
getStateValidationParameterReturnsOnCall map[int]struct {
result1 []byte
result2 error
}
GetStringArgsStub func() []string
getStringArgsMutex sync.RWMutex
getStringArgsArgsForCall []struct {
}
getStringArgsReturns struct {
result1 []string
}
getStringArgsReturnsOnCall map[int]struct {
result1 []string
}
GetTransientStub func() (map[string][]byte, error)
getTransientMutex sync.RWMutex
getTransientArgsForCall []struct {
}
getTransientReturns struct {
result1 map[string][]byte
result2 error
}
getTransientReturnsOnCall map[int]struct {
result1 map[string][]byte
result2 error
}
GetTxIDStub func() string
getTxIDMutex sync.RWMutex
getTxIDArgsForCall []struct {
}
getTxIDReturns struct {
result1 string
}
getTxIDReturnsOnCall map[int]struct {
result1 string
}
GetTxTimestampStub func() (*timestamp.Timestamp, error)
getTxTimestampMutex sync.RWMutex
getTxTimestampArgsForCall []struct {
}
getTxTimestampReturns struct {
result1 *timestamp.Timestamp
result2 error
}
getTxTimestampReturnsOnCall map[int]struct {
result1 *timestamp.Timestamp
result2 error
}
InvokeChaincodeStub func(string, [][]byte, string) peer.Response
invokeChaincodeMutex sync.RWMutex
invokeChaincodeArgsForCall []struct {
arg1 string
arg2 [][]byte
arg3 string
}
invokeChaincodeReturns struct {
result1 peer.Response
}
invokeChaincodeReturnsOnCall map[int]struct {
result1 peer.Response
}
PutPrivateDataStub func(string, string, []byte) error
putPrivateDataMutex sync.RWMutex
putPrivateDataArgsForCall []struct {
arg1 string
arg2 string
arg3 []byte
}
putPrivateDataReturns struct {
result1 error
}
putPrivateDataReturnsOnCall map[int]struct {
result1 error
}
PutStateStub func(string, []byte) error
putStateMutex sync.RWMutex
putStateArgsForCall []struct {
arg1 string
arg2 []byte
}
putStateReturns struct {
result1 error
}
putStateReturnsOnCall map[int]struct {
result1 error
}
SetEventStub func(string, []byte) error
setEventMutex sync.RWMutex
setEventArgsForCall []struct {
arg1 string
arg2 []byte
}
setEventReturns struct {
result1 error
}
setEventReturnsOnCall map[int]struct {
result1 error
}
SetPrivateDataValidationParameterStub func(string, string, []byte) error
setPrivateDataValidationParameterMutex sync.RWMutex
setPrivateDataValidationParameterArgsForCall []struct {
arg1 string
arg2 string
arg3 []byte
}
setPrivateDataValidationParameterReturns struct {
result1 error
}
setPrivateDataValidationParameterReturnsOnCall map[int]struct {
result1 error
}
SetStateValidationParameterStub func(string, []byte) error
setStateValidationParameterMutex sync.RWMutex
setStateValidationParameterArgsForCall []struct {
arg1 string
arg2 []byte
}
setStateValidationParameterReturns struct {
result1 error
}
setStateValidationParameterReturnsOnCall map[int]struct {
result1 error
}
SplitCompositeKeyStub func(string) (string, []string, error)
splitCompositeKeyMutex sync.RWMutex
splitCompositeKeyArgsForCall []struct {
arg1 string
}
splitCompositeKeyReturns struct {
result1 string
result2 []string
result3 error
}
splitCompositeKeyReturnsOnCall map[int]struct {
result1 string
result2 []string
result3 error
}
invocations map[string][][]interface{}
invocationsMutex sync.RWMutex
}
func (fake *MockStub) CreateCompositeKey(arg1 string, arg2 []string) (string, error) {
var arg2Copy []string
if arg2 != nil {
arg2Copy = make([]string, len(arg2))
copy(arg2Copy, arg2)
}
fake.createCompositeKeyMutex.Lock()
ret, specificReturn := fake.createCompositeKeyReturnsOnCall[len(fake.createCompositeKeyArgsForCall)]
fake.createCompositeKeyArgsForCall = append(fake.createCompositeKeyArgsForCall, struct {
arg1 string
arg2 []string
}{arg1, arg2Copy})
fake.recordInvocation("CreateCompositeKey", []interface{}{arg1, arg2Copy})
fake.createCompositeKeyMutex.Unlock()
if fake.CreateCompositeKeyStub != nil {
return fake.CreateCompositeKeyStub(arg1, arg2)
}
if specificReturn {
return ret.result1, ret.result2
}
fakeReturns := fake.createCompositeKeyReturns
return fakeReturns.result1, fakeReturns.result2
}
func (fake *MockStub) CreateCompositeKeyCallCount() int {
fake.createCompositeKeyMutex.RLock()
defer fake.createCompositeKeyMutex.RUnlock()
return len(fake.createCompositeKeyArgsForCall)
}
func (fake *MockStub) CreateCompositeKeyArgsForCall(i int) (string, []string) {
fake.createCompositeKeyMutex.RLock()
defer fake.createCompositeKeyMutex.RUnlock()
argsForCall := fake.createCompositeKeyArgsForCall[i]
return argsForCall.arg1, argsForCall.arg2
}
func (fake *MockStub) CreateCompositeKeyReturns(result1 string, result2 error) {
fake.CreateCompositeKeyStub = nil
fake.createCompositeKeyReturns = struct {
result1 string
result2 error
}{result1, result2}
}
func (fake *MockStub) CreateCompositeKeyReturnsOnCall(i int, result1 string, result2 error) {
fake.CreateCompositeKeyStub = nil
if fake.createCompositeKeyReturnsOnCall == nil {
fake.createCompositeKeyReturnsOnCall = make(map[int]struct {
result1 string
result2 error
})
}
fake.createCompositeKeyReturnsOnCall[i] = struct {
result1 string
result2 error
}{result1, result2}
}
func (fake *MockStub) DelPrivateData(arg1 string, arg2 string) error {
fake.delPrivateDataMutex.Lock()
ret, specificReturn := fake.delPrivateDataReturnsOnCall[len(fake.delPrivateDataArgsForCall)]
fake.delPrivateDataArgsForCall = append(fake.delPrivateDataArgsForCall, struct {
arg1 string
arg2 string
}{arg1, arg2})
fake.recordInvocation("DelPrivateData", []interface{}{arg1, arg2})
fake.delPrivateDataMutex.Unlock()
if fake.DelPrivateDataStub != nil {
return fake.DelPrivateDataStub(arg1, arg2)
}
if specificReturn {
return ret.result1
}
fakeReturns := fake.delPrivateDataReturns
return fakeReturns.result1
}
func (fake *MockStub) DelPrivateDataCallCount() int {
fake.delPrivateDataMutex.RLock()
defer fake.delPrivateDataMutex.RUnlock()
return len(fake.delPrivateDataArgsForCall)
}
func (fake *MockStub) DelPrivateDataArgsForCall(i int) (string, string) {
fake.delPrivateDataMutex.RLock()
defer fake.delPrivateDataMutex.RUnlock()
argsForCall := fake.delPrivateDataArgsForCall[i]
return argsForCall.arg1, argsForCall.arg2
}
func (fake *MockStub) DelPrivateDataReturns(result1 error) {
fake.DelPrivateDataStub = nil
fake.delPrivateDataReturns = struct {
result1 error
}{result1}
}
func (fake *MockStub) DelPrivateDataReturnsOnCall(i int, result1 error) {
fake.DelPrivateDataStub = nil
if fake.delPrivateDataReturnsOnCall == nil {
fake.delPrivateDataReturnsOnCall = make(map[int]struct {
result1 error
})
}
fake.delPrivateDataReturnsOnCall[i] = struct {
result1 error
}{result1}
}
func (fake *MockStub) DelState(arg1 string) error {
fake.delStateMutex.Lock()
ret, specificReturn := fake.delStateReturnsOnCall[len(fake.delStateArgsForCall)]
fake.delStateArgsForCall = append(fake.delStateArgsForCall, struct {
arg1 string
}{arg1})
fake.recordInvocation("DelState", []interface{}{arg1})
fake.delStateMutex.Unlock()
if fake.DelStateStub != nil {
return fake.DelStateStub(arg1)
}
if specificReturn {
return ret.result1
}
fakeReturns := fake.delStateReturns
return fakeReturns.result1
}
func (fake *MockStub) DelStateCallCount() int {
fake.delStateMutex.RLock()
defer fake.delStateMutex.RUnlock()
return len(fake.delStateArgsForCall)
}
func (fake *MockStub) DelStateArgsForCall(i int) string {
fake.delStateMutex.RLock()
defer fake.delStateMutex.RUnlock()
argsForCall := fake.delStateArgsForCall[i]
return argsForCall.arg1
}
func (fake *MockStub) DelStateReturns(result1 error) {
fake.DelStateStub = nil
fake.delStateReturns = struct {
result1 error
}{result1}
}
func (fake *MockStub) DelStateReturnsOnCall(i int, result1 error) {
fake.DelStateStub = nil
if fake.delStateReturnsOnCall == nil {
fake.delStateReturnsOnCall = make(map[int]struct {
result1 error
})
}
fake.delStateReturnsOnCall[i] = struct {
result1 error
}{result1}
}
func (fake *MockStub) GetArgs() [][]byte {
fake.getArgsMutex.Lock()
ret, specificReturn := fake.getArgsReturnsOnCall[len(fake.getArgsArgsForCall)]
fake.getArgsArgsForCall = append(fake.getArgsArgsForCall, struct {
}{})
fake.recordInvocation("GetArgs", []interface{}{})
fake.getArgsMutex.Unlock()
if fake.GetArgsStub != nil {
return fake.GetArgsStub()
}
if specificReturn {
return ret.result1
}
fakeReturns := fake.getArgsReturns
return fakeReturns.result1
}
func (fake *MockStub) GetArgsCallCount() int {
fake.getArgsMutex.RLock()
defer fake.getArgsMutex.RUnlock()
return len(fake.getArgsArgsForCall)
}
func (fake *MockStub) GetArgsReturns(result1 [][]byte) {
fake.GetArgsStub = nil
fake.getArgsReturns = struct {
result1 [][]byte
}{result1}
}
func (fake *MockStub) GetArgsReturnsOnCall(i int, result1 [][]byte) {
fake.GetArgsStub = nil
if fake.getArgsReturnsOnCall == nil {
fake.getArgsReturnsOnCall = make(map[int]struct {
result1 [][]byte
})
}
fake.getArgsReturnsOnCall[i] = struct {
result1 [][]byte
}{result1}
}
func (fake *MockStub) GetArgsSlice() ([]byte, error) {
fake.getArgsSliceMutex.Lock()
ret, specificReturn := fake.getArgsSliceReturnsOnCall[len(fake.getArgsSliceArgsForCall)]
fake.getArgsSliceArgsForCall = append(fake.getArgsSliceArgsForCall, struct {
}{})
fake.recordInvocation("GetArgsSlice", []interface{}{})
fake.getArgsSliceMutex.Unlock()
if fake.GetArgsSliceStub != nil {
return fake.GetArgsSliceStub()
}
if specificReturn {
return ret.result1, ret.result2
}
fakeReturns := fake.getArgsSliceReturns
return fakeReturns.result1, fakeReturns.result2
}
func (fake *MockStub) GetArgsSliceCallCount() int {
fake.getArgsSliceMutex.RLock()
defer fake.getArgsSliceMutex.RUnlock()
return len(fake.getArgsSliceArgsForCall)
}
func (fake *MockStub) GetArgsSliceReturns(result1 []byte, result2 error) {
fake.GetArgsSliceStub = nil
fake.getArgsSliceReturns = struct {
result1 []byte
result2 error
}{result1, result2}
}
func (fake *MockStub) GetArgsSliceReturnsOnCall(i int, result1 []byte, result2 error) {
fake.GetArgsSliceStub = nil
if fake.getArgsSliceReturnsOnCall == nil {
fake.getArgsSliceReturnsOnCall = make(map[int]struct {
result1 []byte
result2 error
})
}
fake.getArgsSliceReturnsOnCall[i] = struct {
result1 []byte
result2 error
}{result1, result2}
}
func (fake *MockStub) GetBinding() ([]byte, error) {
fake.getBindingMutex.Lock()
ret, specificReturn := fake.getBindingReturnsOnCall[len(fake.getBindingArgsForCall)]
fake.getBindingArgsForCall = append(fake.getBindingArgsForCall, struct {
}{})
fake.recordInvocation("GetBinding", []interface{}{})
fake.getBindingMutex.Unlock()
if fake.GetBindingStub != nil {
return fake.GetBindingStub()
}
if specificReturn {
return ret.result1, ret.result2
}
fakeReturns := fake.getBindingReturns
return fakeReturns.result1, fakeReturns.result2
}
func (fake *MockStub) GetBindingCallCount() int {
fake.getBindingMutex.RLock()
defer fake.getBindingMutex.RUnlock()
return len(fake.getBindingArgsForCall)
}
func (fake *MockStub) GetBindingReturns(result1 []byte, result2 error) {
fake.GetBindingStub = nil
fake.getBindingReturns = struct {
result1 []byte
result2 error
}{result1, result2}
}
func (fake *MockStub) GetBindingReturnsOnCall(i int, result1 []byte, result2 error) {
fake.GetBindingStub = nil
if fake.getBindingReturnsOnCall == nil {
fake.getBindingReturnsOnCall = make(map[int]struct {
result1 []byte
result2 error
})
}
fake.getBindingReturnsOnCall[i] = struct {
result1 []byte
result2 error
}{result1, result2}
}
func (fake *MockStub) GetChannelID() string {
fake.getChannelIDMutex.Lock()
ret, specificReturn := fake.getChannelIDReturnsOnCall[len(fake.getChannelIDArgsForCall)]
fake.getChannelIDArgsForCall = append(fake.getChannelIDArgsForCall, struct {
}{})
fake.recordInvocation("GetChannelID", []interface{}{})
fake.getChannelIDMutex.Unlock()
if fake.GetChannelIDStub != nil {
return fake.GetChannelIDStub()
}
if specificReturn {
return ret.result1
}
fakeReturns := fake.getChannelIDReturns
return fakeReturns.result1
}
func (fake *MockStub) GetChannelIDCallCount() int {
fake.getChannelIDMutex.RLock()
defer fake.getChannelIDMutex.RUnlock()
return len(fake.getChannelIDArgsForCall)
}
func (fake *MockStub) GetChannelIDReturns(result1 string) {
fake.GetChannelIDStub = nil
fake.getChannelIDReturns = struct {
result1 string
}{result1}
}
func (fake *MockStub) GetChannelIDReturnsOnCall(i int, result1 string) {
fake.GetChannelIDStub = nil
if fake.getChannelIDReturnsOnCall == nil {
fake.getChannelIDReturnsOnCall = make(map[int]struct {
result1 string
})
}
fake.getChannelIDReturnsOnCall[i] = struct {
result1 string
}{result1}
}
func (fake *MockStub) GetCreator() ([]byte, error) {
fake.getCreatorMutex.Lock()
ret, specificReturn := fake.getCreatorReturnsOnCall[len(fake.getCreatorArgsForCall)]
fake.getCreatorArgsForCall = append(fake.getCreatorArgsForCall, struct {
}{})
fake.recordInvocation("GetCreator", []interface{}{})
fake.getCreatorMutex.Unlock()
if fake.GetCreatorStub != nil {
return fake.GetCreatorStub()
}
if specificReturn {
return ret.result1, ret.result2
}
fakeReturns := fake.getCreatorReturns
return fakeReturns.result1, fakeReturns.result2
}
func (fake *MockStub) GetCreatorCallCount() int {
fake.getCreatorMutex.RLock()
defer fake.getCreatorMutex.RUnlock()
return len(fake.getCreatorArgsForCall)
}
func (fake *MockStub) GetCreatorReturns(result1 []byte, result2 error) {
fake.GetCreatorStub = nil
fake.getCreatorReturns = struct {
result1 []byte
result2 error
}{result1, result2}
}
func (fake *MockStub) GetCreatorReturnsOnCall(i int, result1 []byte, result2 error) {
fake.GetCreatorStub = nil
if fake.getCreatorReturnsOnCall == nil {
fake.getCreatorReturnsOnCall = make(map[int]struct {
result1 []byte
result2 error
})
}
fake.getCreatorReturnsOnCall[i] = struct {
result1 []byte
result2 error
}{result1, result2}
}
func (fake *MockStub) GetDecorations() map[string][]byte {
fake.getDecorationsMutex.Lock()
ret, specificReturn := fake.getDecorationsReturnsOnCall[len(fake.getDecorationsArgsForCall)]
fake.getDecorationsArgsForCall = append(fake.getDecorationsArgsForCall, struct {
}{})
fake.recordInvocation("GetDecorations", []interface{}{})
fake.getDecorationsMutex.Unlock()
if fake.GetDecorationsStub != nil {
return fake.GetDecorationsStub()
}
if specificReturn {
return ret.result1
}
fakeReturns := fake.getDecorationsReturns
return fakeReturns.result1
}
func (fake *MockStub) GetDecorationsCallCount() int {
fake.getDecorationsMutex.RLock()
defer fake.getDecorationsMutex.RUnlock()
return len(fake.getDecorationsArgsForCall)
}
func (fake *MockStub) GetDecorationsReturns(result1 map[string][]byte) {
fake.GetDecorationsStub = nil
fake.getDecorationsReturns = struct {
result1 map[string][]byte
}{result1}
}
func (fake *MockStub) GetDecorationsReturnsOnCall(i int, result1 map[string][]byte) {
fake.GetDecorationsStub = nil
if fake.getDecorationsReturnsOnCall == nil {
fake.getDecorationsReturnsOnCall = make(map[int]struct {
result1 map[string][]byte
})
}
fake.getDecorationsReturnsOnCall[i] = struct {
result1 map[string][]byte
}{result1}
}
func (fake *MockStub) GetFunctionAndParameters() (string, []string) {
fake.getFunctionAndParametersMutex.Lock()
ret, specificReturn := fake.getFunctionAndParametersReturnsOnCall[len(fake.getFunctionAndParametersArgsForCall)]
fake.getFunctionAndParametersArgsForCall = append(fake.getFunctionAndParametersArgsForCall, struct {
}{})
fake.recordInvocation("GetFunctionAndParameters", []interface{}{})
fake.getFunctionAndParametersMutex.Unlock()
if fake.GetFunctionAndParametersStub != nil {
return fake.GetFunctionAndParametersStub()
}
if specificReturn {
return ret.result1, ret.result2
}
fakeReturns := fake.getFunctionAndParametersReturns
return fakeReturns.result1, fakeReturns.result2
}
func (fake *MockStub) GetFunctionAndParametersCallCount() int {
fake.getFunctionAndParametersMutex.RLock()
defer fake.getFunctionAndParametersMutex.RUnlock()
return len(fake.getFunctionAndParametersArgsForCall)
}
func (fake *MockStub) GetFunctionAndParametersReturns(result1 string, result2 []string) {
fake.GetFunctionAndParametersStub = nil
fake.getFunctionAndParametersReturns = struct {
result1 string
result2 []string
}{result1, result2}
}
func (fake *MockStub) GetFunctionAndParametersReturnsOnCall(i int, result1 string, result2 []string) {
fake.GetFunctionAndParametersStub = nil
if fake.getFunctionAndParametersReturnsOnCall == nil {
fake.getFunctionAndParametersReturnsOnCall = make(map[int]struct {
result1 string
result2 []string
})
}
fake.getFunctionAndParametersReturnsOnCall[i] = struct {
result1 string
result2 []string
}{result1, result2}
}
func (fake *MockStub) GetHistoryForKey(arg1 string) (shim.HistoryQueryIteratorInterface, error) {
fake.getHistoryForKeyMutex.Lock()
ret, specificReturn := fake.getHistoryForKeyReturnsOnCall[len(fake.getHistoryForKeyArgsForCall)]
fake.getHistoryForKeyArgsForCall = append(fake.getHistoryForKeyArgsForCall, struct {
arg1 string
}{arg1})
fake.recordInvocation("GetHistoryForKey", []interface{}{arg1})
fake.getHistoryForKeyMutex.Unlock()
if fake.GetHistoryForKeyStub != nil {
return fake.GetHistoryForKeyStub(arg1)
}
if specificReturn {
return ret.result1, ret.result2
}
fakeReturns := fake.getHistoryForKeyReturns
return fakeReturns.result1, fakeReturns.result2
}
func (fake *MockStub) GetHistoryForKeyCallCount() int {
fake.getHistoryForKeyMutex.RLock()
defer fake.getHistoryForKeyMutex.RUnlock()
return len(fake.getHistoryForKeyArgsForCall)
}
func (fake *MockStub) GetHistoryForKeyArgsForCall(i int) string {
fake.getHistoryForKeyMutex.RLock()
defer fake.getHistoryForKeyMutex.RUnlock()
argsForCall := fake.getHistoryForKeyArgsForCall[i]
return argsForCall.arg1
}
func (fake *MockStub) GetHistoryForKeyReturns(result1 shim.HistoryQueryIteratorInterface, result2 error) {
fake.GetHistoryForKeyStub = nil
fake.getHistoryForKeyReturns = struct {
result1 shim.HistoryQueryIteratorInterface
result2 error
}{result1, result2}
}
func (fake *MockStub) GetHistoryForKeyReturnsOnCall(i int, result1 shim.HistoryQueryIteratorInterface, result2 error) {
fake.GetHistoryForKeyStub = nil
if fake.getHistoryForKeyReturnsOnCall == nil {
fake.getHistoryForKeyReturnsOnCall = make(map[int]struct {
result1 shim.HistoryQueryIteratorInterface
result2 error
})
}
fake.getHistoryForKeyReturnsOnCall[i] = struct {
result1 shim.HistoryQueryIteratorInterface
result2 error
}{result1, result2}
}
func (fake *MockStub) GetPrivateData(arg1 string, arg2 string) ([]byte, error) {
fake.getPrivateDataMutex.Lock()
ret, specificReturn := fake.getPrivateDataReturnsOnCall[len(fake.getPrivateDataArgsForCall)]
fake.getPrivateDataArgsForCall = append(fake.getPrivateDataArgsForCall, struct {
arg1 string
arg2 string
}{arg1, arg2})
fake.recordInvocation("GetPrivateData", []interface{}{arg1, arg2})
fake.getPrivateDataMutex.Unlock()
if fake.GetPrivateDataStub != nil {
return fake.GetPrivateDataStub(arg1, arg2)
}
if specificReturn {
return ret.result1, ret.result2
}
fakeReturns := fake.getPrivateDataReturns
return fakeReturns.result1, fakeReturns.result2
}
func (fake *MockStub) GetPrivateDataCallCount() int {
fake.getPrivateDataMutex.RLock()
defer fake.getPrivateDataMutex.RUnlock()
return len(fake.getPrivateDataArgsForCall)
}
func (fake *MockStub) GetPrivateDataArgsForCall(i int) (string, string) {
fake.getPrivateDataMutex.RLock()
defer fake.getPrivateDataMutex.RUnlock()
argsForCall := fake.getPrivateDataArgsForCall[i]
return argsForCall.arg1, argsForCall.arg2
}
func (fake *MockStub) GetPrivateDataReturns(result1 []byte, result2 error) {
fake.GetPrivateDataStub = nil
fake.getPrivateDataReturns = struct {
result1 []byte
result2 error
}{result1, result2}
}
func (fake *MockStub) GetPrivateDataReturnsOnCall(i int, result1 []byte, result2 error) {
fake.GetPrivateDataStub = nil
if fake.getPrivateDataReturnsOnCall == nil {
fake.getPrivateDataReturnsOnCall = make(map[int]struct {
result1 []byte
result2 error
})
}
fake.getPrivateDataReturnsOnCall[i] = struct {
result1 []byte
result2 error
}{result1, result2}
}
func (fake *MockStub) GetPrivateDataByPartialCompositeKey(arg1 string, arg2 string, arg3 []string) (shim.StateQueryIteratorInterface, error) {
var arg3Copy []string
if arg3 != nil {
arg3Copy = make([]string, len(arg3))
copy(arg3Copy, arg3)
}
fake.getPrivateDataByPartialCompositeKeyMutex.Lock()
ret, specificReturn := fake.getPrivateDataByPartialCompositeKeyReturnsOnCall[len(fake.getPrivateDataByPartialCompositeKeyArgsForCall)]
fake.getPrivateDataByPartialCompositeKeyArgsForCall = append(fake.getPrivateDataByPartialCompositeKeyArgsForCall, struct {
arg1 string
arg2 string
arg3 []string
}{arg1, arg2, arg3Copy})
fake.recordInvocation("GetPrivateDataByPartialCompositeKey", []interface{}{arg1, arg2, arg3Copy})
fake.getPrivateDataByPartialCompositeKeyMutex.Unlock()
if fake.GetPrivateDataByPartialCompositeKeyStub != nil {
return fake.GetPrivateDataByPartialCompositeKeyStub(arg1, arg2, arg3)
}
if specificReturn {
return ret.result1, ret.result2
}
fakeReturns := fake.getPrivateDataByPartialCompositeKeyReturns
return fakeReturns.result1, fakeReturns.result2
}
func (fake *MockStub) GetPrivateDataByPartialCompositeKeyCallCount() int {
fake.getPrivateDataByPartialCompositeKeyMutex.RLock()
defer fake.getPrivateDataByPartialCompositeKeyMutex.RUnlock()
return len(fake.getPrivateDataByPartialCompositeKeyArgsForCall)
}
func (fake *MockStub) GetPrivateDataByPartialCompositeKeyArgsForCall(i int) (string, string, []string) {
fake.getPrivateDataByPartialCompositeKeyMutex.RLock()
defer fake.getPrivateDataByPartialCompositeKeyMutex.RUnlock()
argsForCall := fake.getPrivateDataByPartialCompositeKeyArgsForCall[i]
return argsForCall.arg1, argsForCall.arg2, argsForCall.arg3
}
func (fake *MockStub) GetPrivateDataByPartialCompositeKeyReturns(result1 shim.StateQueryIteratorInterface, result2 error) {
fake.GetPrivateDataByPartialCompositeKeyStub = nil
fake.getPrivateDataByPartialCompositeKeyReturns = struct {
result1 shim.StateQueryIteratorInterface
result2 error
}{result1, result2}
}
func (fake *MockStub) GetPrivateDataByPartialCompositeKeyReturnsOnCall(i int, result1 shim.StateQueryIteratorInterface, result2 error) {
fake.GetPrivateDataByPartialCompositeKeyStub = nil
if fake.getPrivateDataByPartialCompositeKeyReturnsOnCall == nil {
fake.getPrivateDataByPartialCompositeKeyReturnsOnCall = make(map[int]struct {
result1 shim.StateQueryIteratorInterface
result2 error
})
}
fake.getPrivateDataByPartialCompositeKeyReturnsOnCall[i] = struct {
result1 shim.StateQueryIteratorInterface
result2 error
}{result1, result2}
}
func (fake *MockStub) GetPrivateDataByRange(arg1 string, arg2 string, arg3 string) (shim.StateQueryIteratorInterface, error) {
fake.getPrivateDataByRangeMutex.Lock()
ret, specificReturn := fake.getPrivateDataByRangeReturnsOnCall[len(fake.getPrivateDataByRangeArgsForCall)]
fake.getPrivateDataByRangeArgsForCall = append(fake.getPrivateDataByRangeArgsForCall, struct {
arg1 string
arg2 string
arg3 string
}{arg1, arg2, arg3})
fake.recordInvocation("GetPrivateDataByRange", []interface{}{arg1, arg2, arg3})
fake.getPrivateDataByRangeMutex.Unlock()
if fake.GetPrivateDataByRangeStub != nil {
return fake.GetPrivateDataByRangeStub(arg1, arg2, arg3)
}
if specificReturn {
return ret.result1, ret.result2
}
fakeReturns := fake.getPrivateDataByRangeReturns
return fakeReturns.result1, fakeReturns.result2
}
func (fake *MockStub) GetPrivateDataByRangeCallCount() int {
fake.getPrivateDataByRangeMutex.RLock()
defer fake.getPrivateDataByRangeMutex.RUnlock()
return len(fake.getPrivateDataByRangeArgsForCall)
}
func (fake *MockStub) GetPrivateDataByRangeArgsForCall(i int) (string, string, string) {
fake.getPrivateDataByRangeMutex.RLock()
defer fake.getPrivateDataByRangeMutex.RUnlock()
argsForCall := fake.getPrivateDataByRangeArgsForCall[i]
return argsForCall.arg1, argsForCall.arg2, argsForCall.arg3
}
func (fake *MockStub) GetPrivateDataByRangeReturns(result1 shim.StateQueryIteratorInterface, result2 error) {
fake.GetPrivateDataByRangeStub = nil
fake.getPrivateDataByRangeReturns = struct {
result1 shim.StateQueryIteratorInterface
result2 error
}{result1, result2}
}
func (fake *MockStub) GetPrivateDataByRangeReturnsOnCall(i int, result1 shim.StateQueryIteratorInterface, result2 error) {
fake.GetPrivateDataByRangeStub = nil
if fake.getPrivateDataByRangeReturnsOnCall == nil {
fake.getPrivateDataByRangeReturnsOnCall = make(map[int]struct {
result1 shim.StateQueryIteratorInterface
result2 error
})
}
fake.getPrivateDataByRangeReturnsOnCall[i] = struct {
result1 shim.StateQueryIteratorInterface
result2 error
}{result1, result2}
}
func (fake *MockStub) GetPrivateDataQueryResult(arg1 string, arg2 string) (shim.StateQueryIteratorInterface, error) {
fake.getPrivateDataQueryResultMutex.Lock()
ret, specificReturn := fake.getPrivateDataQueryResultReturnsOnCall[len(fake.getPrivateDataQueryResultArgsForCall)]
fake.getPrivateDataQueryResultArgsForCall = append(fake.getPrivateDataQueryResultArgsForCall, struct {
arg1 string
arg2 string
}{arg1, arg2})
fake.recordInvocation("GetPrivateDataQueryResult", []interface{}{arg1, arg2})
fake.getPrivateDataQueryResultMutex.Unlock()
if fake.GetPrivateDataQueryResultStub != nil {
return fake.GetPrivateDataQueryResultStub(arg1, arg2)
}
if specificReturn {
return ret.result1, ret.result2
}
fakeReturns := fake.getPrivateDataQueryResultReturns
return fakeReturns.result1, fakeReturns.result2
}
func (fake *MockStub) GetPrivateDataQueryResultCallCount() int {
fake.getPrivateDataQueryResultMutex.RLock()
defer fake.getPrivateDataQueryResultMutex.RUnlock()
return len(fake.getPrivateDataQueryResultArgsForCall)
}
func (fake *MockStub) GetPrivateDataQueryResultArgsForCall(i int) (string, string) {
fake.getPrivateDataQueryResultMutex.RLock()
defer fake.getPrivateDataQueryResultMutex.RUnlock()
argsForCall := fake.getPrivateDataQueryResultArgsForCall[i]
return argsForCall.arg1, argsForCall.arg2
}
func (fake *MockStub) GetPrivateDataQueryResultReturns(result1 shim.StateQueryIteratorInterface, result2 error) {
fake.GetPrivateDataQueryResultStub = nil
fake.getPrivateDataQueryResultReturns = struct {
result1 shim.StateQueryIteratorInterface
result2 error
}{result1, result2}
}
func (fake *MockStub) GetPrivateDataQueryResultReturnsOnCall(i int, result1 shim.StateQueryIteratorInterface, result2 error) {
fake.GetPrivateDataQueryResultStub = nil
if fake.getPrivateDataQueryResultReturnsOnCall == nil {
fake.getPrivateDataQueryResultReturnsOnCall = make(map[int]struct {
result1 shim.StateQueryIteratorInterface
result2 error
})
}
fake.getPrivateDataQueryResultReturnsOnCall[i] = struct {
result1 shim.StateQueryIteratorInterface
result2 error
}{result1, result2}
}
func (fake *MockStub) GetPrivateDataValidationParameter(arg1 string, arg2 string) ([]byte, error) {
fake.getPrivateDataValidationParameterMutex.Lock()
ret, specificReturn := fake.getPrivateDataValidationParameterReturnsOnCall[len(fake.getPrivateDataValidationParameterArgsForCall)]
fake.getPrivateDataValidationParameterArgsForCall = append(fake.getPrivateDataValidationParameterArgsForCall, struct {
arg1 string
arg2 string
}{arg1, arg2})
fake.recordInvocation("GetPrivateDataValidationParameter", []interface{}{arg1, arg2})
fake.getPrivateDataValidationParameterMutex.Unlock()
if fake.GetPrivateDataValidationParameterStub != nil {
return fake.GetPrivateDataValidationParameterStub(arg1, arg2)
}
if specificReturn {
return ret.result1, ret.result2
}
fakeReturns := fake.getPrivateDataValidationParameterReturns
return fakeReturns.result1, fakeReturns.result2
}
func (fake *MockStub) GetPrivateDataValidationParameterCallCount() int {
fake.getPrivateDataValidationParameterMutex.RLock()
defer fake.getPrivateDataValidationParameterMutex.RUnlock()
return len(fake.getPrivateDataValidationParameterArgsForCall)
}
func (fake *MockStub) GetPrivateDataValidationParameterArgsForCall(i int) (string, string) {
fake.getPrivateDataValidationParameterMutex.RLock()
defer fake.getPrivateDataValidationParameterMutex.RUnlock()
argsForCall := fake.getPrivateDataValidationParameterArgsForCall[i]
return argsForCall.arg1, argsForCall.arg2
}
func (fake *MockStub) GetPrivateDataValidationParameterReturns(result1 []byte, result2 error) {
fake.GetPrivateDataValidationParameterStub = nil
fake.getPrivateDataValidationParameterReturns = struct {
result1 []byte
result2 error
}{result1, result2}
}
func (fake *MockStub) GetPrivateDataValidationParameterReturnsOnCall(i int, result1 []byte, result2 error) {
fake.GetPrivateDataValidationParameterStub = nil
if fake.getPrivateDataValidationParameterReturnsOnCall == nil {
fake.getPrivateDataValidationParameterReturnsOnCall = make(map[int]struct {
result1 []byte
result2 error
})
}
fake.getPrivateDataValidationParameterReturnsOnCall[i] = struct {
result1 []byte
result2 error
}{result1, result2}
}
func (fake *MockStub) GetQueryResult(arg1 string) (shim.StateQueryIteratorInterface, error) {
fake.getQueryResultMutex.Lock()
ret, specificReturn := fake.getQueryResultReturnsOnCall[len(fake.getQueryResultArgsForCall)]
fake.getQueryResultArgsForCall = append(fake.getQueryResultArgsForCall, struct {
arg1 string
}{arg1})
fake.recordInvocation("GetQueryResult", []interface{}{arg1})
fake.getQueryResultMutex.Unlock()
if fake.GetQueryResultStub != nil {
return fake.GetQueryResultStub(arg1)
}
if specificReturn {
return ret.result1, ret.result2
}
fakeReturns := fake.getQueryResultReturns
return fakeReturns.result1, fakeReturns.result2
}
func (fake *MockStub) GetQueryResultCallCount() int {
fake.getQueryResultMutex.RLock()
defer fake.getQueryResultMutex.RUnlock()
return len(fake.getQueryResultArgsForCall)
}
func (fake *MockStub) GetQueryResultArgsForCall(i int) string {
fake.getQueryResultMutex.RLock()
defer fake.getQueryResultMutex.RUnlock()
argsForCall := fake.getQueryResultArgsForCall[i]
return argsForCall.arg1
}
func (fake *MockStub) GetQueryResultReturns(result1 shim.StateQueryIteratorInterface, result2 error) {
fake.GetQueryResultStub = nil
fake.getQueryResultReturns = struct {
result1 shim.StateQueryIteratorInterface
result2 error
}{result1, result2}
}
func (fake *MockStub) GetQueryResultReturnsOnCall(i int, result1 shim.StateQueryIteratorInterface, result2 error) {
fake.GetQueryResultStub = nil
if fake.getQueryResultReturnsOnCall == nil {
fake.getQueryResultReturnsOnCall = make(map[int]struct {
result1 shim.StateQueryIteratorInterface
result2 error
})
}
fake.getQueryResultReturnsOnCall[i] = struct {
result1 shim.StateQueryIteratorInterface
result2 error
}{result1, result2}
}
func (fake *MockStub) GetQueryResultWithPagination(arg1 string, arg2 int32, arg3 string) (shim.StateQueryIteratorInterface, *peer.QueryResponseMetadata, error) {
fake.getQueryResultWithPaginationMutex.Lock()
ret, specificReturn := fake.getQueryResultWithPaginationReturnsOnCall[len(fake.getQueryResultWithPaginationArgsForCall)]
fake.getQueryResultWithPaginationArgsForCall = append(fake.getQueryResultWithPaginationArgsForCall, struct {
arg1 string
arg2 int32
arg3 string
}{arg1, arg2, arg3})
fake.recordInvocation("GetQueryResultWithPagination", []interface{}{arg1, arg2, arg3})
fake.getQueryResultWithPaginationMutex.Unlock()
if fake.GetQueryResultWithPaginationStub != nil {
return fake.GetQueryResultWithPaginationStub(arg1, arg2, arg3)
}
if specificReturn {
return ret.result1, ret.result2, ret.result3
}
fakeReturns := fake.getQueryResultWithPaginationReturns
return fakeReturns.result1, fakeReturns.result2, fakeReturns.result3
}
func (fake *MockStub) GetQueryResultWithPaginationCallCount() int {
fake.getQueryResultWithPaginationMutex.RLock()
defer fake.getQueryResultWithPaginationMutex.RUnlock()
return len(fake.getQueryResultWithPaginationArgsForCall)
}
func (fake *MockStub) GetQueryResultWithPaginationArgsForCall(i int) (string, int32, string) {
fake.getQueryResultWithPaginationMutex.RLock()
defer fake.getQueryResultWithPaginationMutex.RUnlock()
argsForCall := fake.getQueryResultWithPaginationArgsForCall[i]
return argsForCall.arg1, argsForCall.arg2, argsForCall.arg3
}
func (fake *MockStub) GetQueryResultWithPaginationReturns(result1 shim.StateQueryIteratorInterface, result2 *peer.QueryResponseMetadata, result3 error) {
fake.GetQueryResultWithPaginationStub = nil
fake.getQueryResultWithPaginationReturns = struct {
result1 shim.StateQueryIteratorInterface
result2 *peer.QueryResponseMetadata
result3 error
}{result1, result2, result3}
}
func (fake *MockStub) GetQueryResultWithPaginationReturnsOnCall(i int, result1 shim.StateQueryIteratorInterface, result2 *peer.QueryResponseMetadata, result3 error) {
fake.GetQueryResultWithPaginationStub = nil
if fake.getQueryResultWithPaginationReturnsOnCall == nil {
fake.getQueryResultWithPaginationReturnsOnCall = make(map[int]struct {
result1 shim.StateQueryIteratorInterface
result2 *peer.QueryResponseMetadata
result3 error
})
}
fake.getQueryResultWithPaginationReturnsOnCall[i] = struct {
result1 shim.StateQueryIteratorInterface
result2 *peer.QueryResponseMetadata
result3 error
}{result1, result2, result3}
}
func (fake *MockStub) GetSignedProposal() (*peer.SignedProposal, error) {
fake.getSignedProposalMutex.Lock()
ret, specificReturn := fake.getSignedProposalReturnsOnCall[len(fake.getSignedProposalArgsForCall)]
fake.getSignedProposalArgsForCall = append(fake.getSignedProposalArgsForCall, struct {
}{})
fake.recordInvocation("GetSignedProposal", []interface{}{})
fake.getSignedProposalMutex.Unlock()
if fake.GetSignedProposalStub != nil {
return fake.GetSignedProposalStub()
}
if specificReturn {
return ret.result1, ret.result2
}
fakeReturns := fake.getSignedProposalReturns
return fakeReturns.result1, fakeReturns.result2
}
func (fake *MockStub) GetSignedProposalCallCount() int {
fake.getSignedProposalMutex.RLock()
defer fake.getSignedProposalMutex.RUnlock()
return len(fake.getSignedProposalArgsForCall)
}
func (fake *MockStub) GetSignedProposalReturns(result1 *peer.SignedProposal, result2 error) {
fake.GetSignedProposalStub = nil
fake.getSignedProposalReturns = struct {
result1 *peer.SignedProposal
result2 error
}{result1, result2}
}
func (fake *MockStub) GetSignedProposalReturnsOnCall(i int, result1 *peer.SignedProposal, result2 error) {
fake.GetSignedProposalStub = nil
if fake.getSignedProposalReturnsOnCall == nil {
fake.getSignedProposalReturnsOnCall = make(map[int]struct {
result1 *peer.SignedProposal
result2 error
})
}
fake.getSignedProposalReturnsOnCall[i] = struct {
result1 *peer.SignedProposal
result2 error
}{result1, result2}
}
func (fake *MockStub) GetState(arg1 string) ([]byte, error) {
fake.getStateMutex.Lock()
ret, specificReturn := fake.getStateReturnsOnCall[len(fake.getStateArgsForCall)]
fake.getStateArgsForCall = append(fake.getStateArgsForCall, struct {
arg1 string
}{arg1})
fake.recordInvocation("GetState", []interface{}{arg1})
fake.getStateMutex.Unlock()
if fake.GetStateStub != nil {
return fake.GetStateStub(arg1)
}
if specificReturn {
return ret.result1, ret.result2
}
fakeReturns := fake.getStateReturns
return fakeReturns.result1, fakeReturns.result2
}
func (fake *MockStub) GetStateCallCount() int {
fake.getStateMutex.RLock()
defer fake.getStateMutex.RUnlock()
return len(fake.getStateArgsForCall)
}
func (fake *MockStub) GetStateArgsForCall(i int) string {
fake.getStateMutex.RLock()
defer fake.getStateMutex.RUnlock()
argsForCall := fake.getStateArgsForCall[i]
return argsForCall.arg1
}
func (fake *MockStub) GetStateReturns(result1 []byte, result2 error) {
fake.GetStateStub = nil
fake.getStateReturns = struct {
result1 []byte
result2 error
}{result1, result2}
}
func (fake *MockStub) GetStateReturnsOnCall(i int, result1 []byte, result2 error) {
fake.GetStateStub = nil
if fake.getStateReturnsOnCall == nil {
fake.getStateReturnsOnCall = make(map[int]struct {
result1 []byte
result2 error
})
}
fake.getStateReturnsOnCall[i] = struct {
result1 []byte
result2 error
}{result1, result2}
}
func (fake *MockStub) GetStateByPartialCompositeKey(arg1 string, arg2 []string) (shim.StateQueryIteratorInterface, error) {
var arg2Copy []string
if arg2 != nil {
arg2Copy = make([]string, len(arg2))
copy(arg2Copy, arg2)
}
fake.getStateByPartialCompositeKeyMutex.Lock()
ret, specificReturn := fake.getStateByPartialCompositeKeyReturnsOnCall[len(fake.getStateByPartialCompositeKeyArgsForCall)]
fake.getStateByPartialCompositeKeyArgsForCall = append(fake.getStateByPartialCompositeKeyArgsForCall, struct {
arg1 string
arg2 []string
}{arg1, arg2Copy})
fake.recordInvocation("GetStateByPartialCompositeKey", []interface{}{arg1, arg2Copy})
fake.getStateByPartialCompositeKeyMutex.Unlock()
if fake.GetStateByPartialCompositeKeyStub != nil {
return fake.GetStateByPartialCompositeKeyStub(arg1, arg2)
}
if specificReturn {
return ret.result1, ret.result2
}
fakeReturns := fake.getStateByPartialCompositeKeyReturns
return fakeReturns.result1, fakeReturns.result2
}
func (fake *MockStub) GetStateByPartialCompositeKeyCallCount() int {
fake.getStateByPartialCompositeKeyMutex.RLock()
defer fake.getStateByPartialCompositeKeyMutex.RUnlock()
return len(fake.getStateByPartialCompositeKeyArgsForCall)
}
func (fake *MockStub) GetStateByPartialCompositeKeyArgsForCall(i int) (string, []string) {
fake.getStateByPartialCompositeKeyMutex.RLock()
defer fake.getStateByPartialCompositeKeyMutex.RUnlock()
argsForCall := fake.getStateByPartialCompositeKeyArgsForCall[i]
return argsForCall.arg1, argsForCall.arg2
}
func (fake *MockStub) GetStateByPartialCompositeKeyReturns(result1 shim.StateQueryIteratorInterface, result2 error) {
fake.GetStateByPartialCompositeKeyStub = nil
fake.getStateByPartialCompositeKeyReturns = struct {
result1 shim.StateQueryIteratorInterface
result2 error
}{result1, result2}
}
func (fake *MockStub) GetStateByPartialCompositeKeyReturnsOnCall(i int, result1 shim.StateQueryIteratorInterface, result2 error) {
fake.GetStateByPartialCompositeKeyStub = nil
if fake.getStateByPartialCompositeKeyReturnsOnCall == nil {
fake.getStateByPartialCompositeKeyReturnsOnCall = make(map[int]struct {
result1 shim.StateQueryIteratorInterface
result2 error
})
}
fake.getStateByPartialCompositeKeyReturnsOnCall[i] = struct {
result1 shim.StateQueryIteratorInterface
result2 error
}{result1, result2}
}
func (fake *MockStub) GetStateByPartialCompositeKeyWithPagination(arg1 string, arg2 []string, arg3 int32, arg4 string) (shim.StateQueryIteratorInterface, *peer.QueryResponseMetadata, error) {
var arg2Copy []string
if arg2 != nil {
arg2Copy = make([]string, len(arg2))
copy(arg2Copy, arg2)
}
fake.getStateByPartialCompositeKeyWithPaginationMutex.Lock()
ret, specificReturn := fake.getStateByPartialCompositeKeyWithPaginationReturnsOnCall[len(fake.getStateByPartialCompositeKeyWithPaginationArgsForCall)]
fake.getStateByPartialCompositeKeyWithPaginationArgsForCall = append(fake.getStateByPartialCompositeKeyWithPaginationArgsForCall, struct {
arg1 string
arg2 []string
arg3 int32
arg4 string
}{arg1, arg2Copy, arg3, arg4})
fake.recordInvocation("GetStateByPartialCompositeKeyWithPagination", []interface{}{arg1, arg2Copy, arg3, arg4})
fake.getStateByPartialCompositeKeyWithPaginationMutex.Unlock()
if fake.GetStateByPartialCompositeKeyWithPaginationStub != nil {
return fake.GetStateByPartialCompositeKeyWithPaginationStub(arg1, arg2, arg3, arg4)
}
if specificReturn {
return ret.result1, ret.result2, ret.result3
}
fakeReturns := fake.getStateByPartialCompositeKeyWithPaginationReturns
return fakeReturns.result1, fakeReturns.result2, fakeReturns.result3
}
func (fake *MockStub) GetStateByPartialCompositeKeyWithPaginationCallCount() int {
fake.getStateByPartialCompositeKeyWithPaginationMutex.RLock()
defer fake.getStateByPartialCompositeKeyWithPaginationMutex.RUnlock()
return len(fake.getStateByPartialCompositeKeyWithPaginationArgsForCall)
}
func (fake *MockStub) GetStateByPartialCompositeKeyWithPaginationArgsForCall(i int) (string, []string, int32, string) {
fake.getStateByPartialCompositeKeyWithPaginationMutex.RLock()
defer fake.getStateByPartialCompositeKeyWithPaginationMutex.RUnlock()
argsForCall := fake.getStateByPartialCompositeKeyWithPaginationArgsForCall[i]
return argsForCall.arg1, argsForCall.arg2, argsForCall.arg3, argsForCall.arg4
}
func (fake *MockStub) GetStateByPartialCompositeKeyWithPaginationReturns(result1 shim.StateQueryIteratorInterface, result2 *peer.QueryResponseMetadata, result3 error) {
fake.GetStateByPartialCompositeKeyWithPaginationStub = nil
fake.getStateByPartialCompositeKeyWithPaginationReturns = struct {
result1 shim.StateQueryIteratorInterface
result2 *peer.QueryResponseMetadata
result3 error
}{result1, result2, result3}
}
func (fake *MockStub) GetStateByPartialCompositeKeyWithPaginationReturnsOnCall(i int, result1 shim.StateQueryIteratorInterface, result2 *peer.QueryResponseMetadata, result3 error) {
fake.GetStateByPartialCompositeKeyWithPaginationStub = nil
if fake.getStateByPartialCompositeKeyWithPaginationReturnsOnCall == nil {
fake.getStateByPartialCompositeKeyWithPaginationReturnsOnCall = make(map[int]struct {
result1 shim.StateQueryIteratorInterface
result2 *peer.QueryResponseMetadata
result3 error
})
}
fake.getStateByPartialCompositeKeyWithPaginationReturnsOnCall[i] = struct {
result1 shim.StateQueryIteratorInterface
result2 *peer.QueryResponseMetadata
result3 error
}{result1, result2, result3}
}
func (fake *MockStub) GetStateByRange(arg1 string, arg2 string) (shim.StateQueryIteratorInterface, error) {
fake.getStateByRangeMutex.Lock()
ret, specificReturn := fake.getStateByRangeReturnsOnCall[len(fake.getStateByRangeArgsForCall)]
fake.getStateByRangeArgsForCall = append(fake.getStateByRangeArgsForCall, struct {
arg1 string
arg2 string
}{arg1, arg2})
fake.recordInvocation("GetStateByRange", []interface{}{arg1, arg2})
fake.getStateByRangeMutex.Unlock()
if fake.GetStateByRangeStub != nil {
return fake.GetStateByRangeStub(arg1, arg2)
}
if specificReturn {
return ret.result1, ret.result2
}
fakeReturns := fake.getStateByRangeReturns
return fakeReturns.result1, fakeReturns.result2
}
func (fake *MockStub) GetStateByRangeCallCount() int {
fake.getStateByRangeMutex.RLock()
defer fake.getStateByRangeMutex.RUnlock()
return len(fake.getStateByRangeArgsForCall)
}
func (fake *MockStub) GetStateByRangeArgsForCall(i int) (string, string) {
fake.getStateByRangeMutex.RLock()
defer fake.getStateByRangeMutex.RUnlock()
argsForCall := fake.getStateByRangeArgsForCall[i]
return argsForCall.arg1, argsForCall.arg2
}
func (fake *MockStub) GetStateByRangeReturns(result1 shim.StateQueryIteratorInterface, result2 error) {
fake.GetStateByRangeStub = nil
fake.getStateByRangeReturns = struct {
result1 shim.StateQueryIteratorInterface
result2 error
}{result1, result2}
}
func (fake *MockStub) GetStateByRangeReturnsOnCall(i int, result1 shim.StateQueryIteratorInterface, result2 error) {
fake.GetStateByRangeStub = nil
if fake.getStateByRangeReturnsOnCall == nil {
fake.getStateByRangeReturnsOnCall = make(map[int]struct {
result1 shim.StateQueryIteratorInterface
result2 error
})
}
fake.getStateByRangeReturnsOnCall[i] = struct {
result1 shim.StateQueryIteratorInterface
result2 error
}{result1, result2}
}
func (fake *MockStub) GetStateByRangeWithPagination(arg1 string, arg2 string, arg3 int32, arg4 string) (shim.StateQueryIteratorInterface, *peer.QueryResponseMetadata, error) {
fake.getStateByRangeWithPaginationMutex.Lock()
ret, specificReturn := fake.getStateByRangeWithPaginationReturnsOnCall[len(fake.getStateByRangeWithPaginationArgsForCall)]
fake.getStateByRangeWithPaginationArgsForCall = append(fake.getStateByRangeWithPaginationArgsForCall, struct {
arg1 string
arg2 string
arg3 int32
arg4 string
}{arg1, arg2, arg3, arg4})
fake.recordInvocation("GetStateByRangeWithPagination", []interface{}{arg1, arg2, arg3, arg4})
fake.getStateByRangeWithPaginationMutex.Unlock()
if fake.GetStateByRangeWithPaginationStub != nil {
return fake.GetStateByRangeWithPaginationStub(arg1, arg2, arg3, arg4)
}
if specificReturn {
return ret.result1, ret.result2, ret.result3
}
fakeReturns := fake.getStateByRangeWithPaginationReturns
return fakeReturns.result1, fakeReturns.result2, fakeReturns.result3
}
func (fake *MockStub) GetStateByRangeWithPaginationCallCount() int {
fake.getStateByRangeWithPaginationMutex.RLock()
defer fake.getStateByRangeWithPaginationMutex.RUnlock()
return len(fake.getStateByRangeWithPaginationArgsForCall)
}
func (fake *MockStub) GetStateByRangeWithPaginationArgsForCall(i int) (string, string, int32, string) {
fake.getStateByRangeWithPaginationMutex.RLock()
defer fake.getStateByRangeWithPaginationMutex.RUnlock()
argsForCall := fake.getStateByRangeWithPaginationArgsForCall[i]
return argsForCall.arg1, argsForCall.arg2, argsForCall.arg3, argsForCall.arg4
}
func (fake *MockStub) GetStateByRangeWithPaginationReturns(result1 shim.StateQueryIteratorInterface, result2 *peer.QueryResponseMetadata, result3 error) {
fake.GetStateByRangeWithPaginationStub = nil
fake.getStateByRangeWithPaginationReturns = struct {
result1 shim.StateQueryIteratorInterface
result2 *peer.QueryResponseMetadata
result3 error
}{result1, result2, result3}
}
func (fake *MockStub) GetStateByRangeWithPaginationReturnsOnCall(i int, result1 shim.StateQueryIteratorInterface, result2 *peer.QueryResponseMetadata, result3 error) {
fake.GetStateByRangeWithPaginationStub = nil
if fake.getStateByRangeWithPaginationReturnsOnCall == nil {
fake.getStateByRangeWithPaginationReturnsOnCall = make(map[int]struct {
result1 shim.StateQueryIteratorInterface
result2 *peer.QueryResponseMetadata
result3 error
})
}
fake.getStateByRangeWithPaginationReturnsOnCall[i] = struct {
result1 shim.StateQueryIteratorInterface
result2 *peer.QueryResponseMetadata
result3 error
}{result1, result2, result3}
}
func (fake *MockStub) GetStateValidationParameter(arg1 string) ([]byte, error) {
fake.getStateValidationParameterMutex.Lock()
ret, specificReturn := fake.getStateValidationParameterReturnsOnCall[len(fake.getStateValidationParameterArgsForCall)]
fake.getStateValidationParameterArgsForCall = append(fake.getStateValidationParameterArgsForCall, struct {
arg1 string
}{arg1})
fake.recordInvocation("GetStateValidationParameter", []interface{}{arg1})
fake.getStateValidationParameterMutex.Unlock()
if fake.GetStateValidationParameterStub != nil {
return fake.GetStateValidationParameterStub(arg1)
}
if specificReturn {
return ret.result1, ret.result2
}
fakeReturns := fake.getStateValidationParameterReturns
return fakeReturns.result1, fakeReturns.result2
}
func (fake *MockStub) GetStateValidationParameterCallCount() int {
fake.getStateValidationParameterMutex.RLock()
defer fake.getStateValidationParameterMutex.RUnlock()
return len(fake.getStateValidationParameterArgsForCall)
}
func (fake *MockStub) GetStateValidationParameterArgsForCall(i int) string {
fake.getStateValidationParameterMutex.RLock()
defer fake.getStateValidationParameterMutex.RUnlock()
argsForCall := fake.getStateValidationParameterArgsForCall[i]
return argsForCall.arg1
}
func (fake *MockStub) GetStateValidationParameterReturns(result1 []byte, result2 error) {
fake.GetStateValidationParameterStub = nil
fake.getStateValidationParameterReturns = struct {
result1 []byte
result2 error
}{result1, result2}
}
func (fake *MockStub) GetStateValidationParameterReturnsOnCall(i int, result1 []byte, result2 error) {
fake.GetStateValidationParameterStub = nil
if fake.getStateValidationParameterReturnsOnCall == nil {
fake.getStateValidationParameterReturnsOnCall = make(map[int]struct {
result1 []byte
result2 error
})
}
fake.getStateValidationParameterReturnsOnCall[i] = struct {
result1 []byte
result2 error
}{result1, result2}
}
func (fake *MockStub) GetStringArgs() []string {
fake.getStringArgsMutex.Lock()
ret, specificReturn := fake.getStringArgsReturnsOnCall[len(fake.getStringArgsArgsForCall)]
fake.getStringArgsArgsForCall = append(fake.getStringArgsArgsForCall, struct {
}{})
fake.recordInvocation("GetStringArgs", []interface{}{})
fake.getStringArgsMutex.Unlock()
if fake.GetStringArgsStub != nil {
return fake.GetStringArgsStub()
}
if specificReturn {
return ret.result1
}
fakeReturns := fake.getStringArgsReturns
return fakeReturns.result1
}
func (fake *MockStub) GetStringArgsCallCount() int {
fake.getStringArgsMutex.RLock()
defer fake.getStringArgsMutex.RUnlock()
return len(fake.getStringArgsArgsForCall)
}
func (fake *MockStub) GetStringArgsReturns(result1 []string) {
fake.GetStringArgsStub = nil
fake.getStringArgsReturns = struct {
result1 []string
}{result1}
}
func (fake *MockStub) GetStringArgsReturnsOnCall(i int, result1 []string) {
fake.GetStringArgsStub = nil
if fake.getStringArgsReturnsOnCall == nil {
fake.getStringArgsReturnsOnCall = make(map[int]struct {
result1 []string
})
}
fake.getStringArgsReturnsOnCall[i] = struct {
result1 []string
}{result1}
}
func (fake *MockStub) GetTransient() (map[string][]byte, error) {
fake.getTransientMutex.Lock()
ret, specificReturn := fake.getTransientReturnsOnCall[len(fake.getTransientArgsForCall)]
fake.getTransientArgsForCall = append(fake.getTransientArgsForCall, struct {
}{})
fake.recordInvocation("GetTransient", []interface{}{})
fake.getTransientMutex.Unlock()
if fake.GetTransientStub != nil {
return fake.GetTransientStub()
}
if specificReturn {
return ret.result1, ret.result2
}
fakeReturns := fake.getTransientReturns
return fakeReturns.result1, fakeReturns.result2
}
func (fake *MockStub) GetTransientCallCount() int {
fake.getTransientMutex.RLock()
defer fake.getTransientMutex.RUnlock()
return len(fake.getTransientArgsForCall)
}
func (fake *MockStub) GetTransientReturns(result1 map[string][]byte, result2 error) {
fake.GetTransientStub = nil
fake.getTransientReturns = struct {
result1 map[string][]byte
result2 error
}{result1, result2}
}
func (fake *MockStub) GetTransientReturnsOnCall(i int, result1 map[string][]byte, result2 error) {
fake.GetTransientStub = nil
if fake.getTransientReturnsOnCall == nil {
fake.getTransientReturnsOnCall = make(map[int]struct {
result1 map[string][]byte
result2 error
})
}
fake.getTransientReturnsOnCall[i] = struct {
result1 map[string][]byte
result2 error
}{result1, result2}
}
func (fake *MockStub) GetTxID() string {
fake.getTxIDMutex.Lock()
ret, specificReturn := fake.getTxIDReturnsOnCall[len(fake.getTxIDArgsForCall)]
fake.getTxIDArgsForCall = append(fake.getTxIDArgsForCall, struct {
}{})
fake.recordInvocation("GetTxID", []interface{}{})
fake.getTxIDMutex.Unlock()
if fake.GetTxIDStub != nil {
return fake.GetTxIDStub()
}
if specificReturn {
return ret.result1
}
fakeReturns := fake.getTxIDReturns
return fakeReturns.result1
}
func (fake *MockStub) GetTxIDCallCount() int {
fake.getTxIDMutex.RLock()
defer fake.getTxIDMutex.RUnlock()
return len(fake.getTxIDArgsForCall)
}
func (fake *MockStub) GetTxIDReturns(result1 string) {
fake.GetTxIDStub = nil
fake.getTxIDReturns = struct {
result1 string
}{result1}
}
func (fake *MockStub) GetTxIDReturnsOnCall(i int, result1 string) {
fake.GetTxIDStub = nil
if fake.getTxIDReturnsOnCall == nil {
fake.getTxIDReturnsOnCall = make(map[int]struct {
result1 string
})
}
fake.getTxIDReturnsOnCall[i] = struct {
result1 string
}{result1}
}
func (fake *MockStub) GetTxTimestamp() (*timestamp.Timestamp, error) {
fake.getTxTimestampMutex.Lock()
ret, specificReturn := fake.getTxTimestampReturnsOnCall[len(fake.getTxTimestampArgsForCall)]
fake.getTxTimestampArgsForCall = append(fake.getTxTimestampArgsForCall, struct {
}{})
fake.recordInvocation("GetTxTimestamp", []interface{}{})
fake.getTxTimestampMutex.Unlock()
if fake.GetTxTimestampStub != nil {
return fake.GetTxTimestampStub()
}
if specificReturn {
return ret.result1, ret.result2
}
fakeReturns := fake.getTxTimestampReturns
return fakeReturns.result1, fakeReturns.result2
}
func (fake *MockStub) GetTxTimestampCallCount() int {
fake.getTxTimestampMutex.RLock()
defer fake.getTxTimestampMutex.RUnlock()
return len(fake.getTxTimestampArgsForCall)
}
func (fake *MockStub) GetTxTimestampReturns(result1 *timestamp.Timestamp, result2 error) {
fake.GetTxTimestampStub = nil
fake.getTxTimestampReturns = struct {
result1 *timestamp.Timestamp
result2 error
}{result1, result2}
}
func (fake *MockStub) GetTxTimestampReturnsOnCall(i int, result1 *timestamp.Timestamp, result2 error) {
fake.GetTxTimestampStub = nil
if fake.getTxTimestampReturnsOnCall == nil {
fake.getTxTimestampReturnsOnCall = make(map[int]struct {
result1 *timestamp.Timestamp
result2 error
})
}
fake.getTxTimestampReturnsOnCall[i] = struct {
result1 *timestamp.Timestamp
result2 error
}{result1, result2}
}
func (fake *MockStub) InvokeChaincode(arg1 string, arg2 [][]byte, arg3 string) peer.Response {
var arg2Copy [][]byte
if arg2 != nil {
arg2Copy = make([][]byte, len(arg2))
copy(arg2Copy, arg2)
}
fake.invokeChaincodeMutex.Lock()
ret, specificReturn := fake.invokeChaincodeReturnsOnCall[len(fake.invokeChaincodeArgsForCall)]
fake.invokeChaincodeArgsForCall = append(fake.invokeChaincodeArgsForCall, struct {
arg1 string
arg2 [][]byte
arg3 string
}{arg1, arg2Copy, arg3})
fake.recordInvocation("InvokeChaincode", []interface{}{arg1, arg2Copy, arg3})
fake.invokeChaincodeMutex.Unlock()
if fake.InvokeChaincodeStub != nil {
return fake.InvokeChaincodeStub(arg1, arg2, arg3)
}
if specificReturn {
return ret.result1
}
fakeReturns := fake.invokeChaincodeReturns
return fakeReturns.result1
}
func (fake *MockStub) InvokeChaincodeCallCount() int {
fake.invokeChaincodeMutex.RLock()
defer fake.invokeChaincodeMutex.RUnlock()
return len(fake.invokeChaincodeArgsForCall)
}
func (fake *MockStub) InvokeChaincodeArgsForCall(i int) (string, [][]byte, string) {
fake.invokeChaincodeMutex.RLock()
defer fake.invokeChaincodeMutex.RUnlock()
argsForCall := fake.invokeChaincodeArgsForCall[i]
return argsForCall.arg1, argsForCall.arg2, argsForCall.arg3
}
func (fake *MockStub) InvokeChaincodeReturns(result1 peer.Response) {
fake.InvokeChaincodeStub = nil
fake.invokeChaincodeReturns = struct {
result1 peer.Response
}{result1}
}
func (fake *MockStub) InvokeChaincodeReturnsOnCall(i int, result1 peer.Response) {
fake.InvokeChaincodeStub = nil
if fake.invokeChaincodeReturnsOnCall == nil {
fake.invokeChaincodeReturnsOnCall = make(map[int]struct {
result1 peer.Response
})
}
fake.invokeChaincodeReturnsOnCall[i] = struct {
result1 peer.Response
}{result1}
}
func (fake *MockStub) PutPrivateData(arg1 string, arg2 string, arg3 []byte) error {
var arg3Copy []byte
if arg3 != nil {
arg3Copy = make([]byte, len(arg3))
copy(arg3Copy, arg3)
}
fake.putPrivateDataMutex.Lock()
ret, specificReturn := fake.putPrivateDataReturnsOnCall[len(fake.putPrivateDataArgsForCall)]
fake.putPrivateDataArgsForCall = append(fake.putPrivateDataArgsForCall, struct {
arg1 string
arg2 string
arg3 []byte
}{arg1, arg2, arg3Copy})
fake.recordInvocation("PutPrivateData", []interface{}{arg1, arg2, arg3Copy})
fake.putPrivateDataMutex.Unlock()
if fake.PutPrivateDataStub != nil {
return fake.PutPrivateDataStub(arg1, arg2, arg3)
}
if specificReturn {
return ret.result1
}
fakeReturns := fake.putPrivateDataReturns
return fakeReturns.result1
}
func (fake *MockStub) PutPrivateDataCallCount() int {
fake.putPrivateDataMutex.RLock()
defer fake.putPrivateDataMutex.RUnlock()
return len(fake.putPrivateDataArgsForCall)
}
func (fake *MockStub) PutPrivateDataArgsForCall(i int) (string, string, []byte) {
fake.putPrivateDataMutex.RLock()
defer fake.putPrivateDataMutex.RUnlock()
argsForCall := fake.putPrivateDataArgsForCall[i]
return argsForCall.arg1, argsForCall.arg2, argsForCall.arg3
}
func (fake *MockStub) PutPrivateDataReturns(result1 error) {
fake.PutPrivateDataStub = nil
fake.putPrivateDataReturns = struct {
result1 error
}{result1}
}
func (fake *MockStub) PutPrivateDataReturnsOnCall(i int, result1 error) {
fake.PutPrivateDataStub = nil
if fake.putPrivateDataReturnsOnCall == nil {
fake.putPrivateDataReturnsOnCall = make(map[int]struct {
result1 error
})
}
fake.putPrivateDataReturnsOnCall[i] = struct {
result1 error
}{result1}
}
func (fake *MockStub) PutState(arg1 string, arg2 []byte) error {
var arg2Copy []byte
if arg2 != nil {
arg2Copy = make([]byte, len(arg2))
copy(arg2Copy, arg2)
}
fake.putStateMutex.Lock()
ret, specificReturn := fake.putStateReturnsOnCall[len(fake.putStateArgsForCall)]
fake.putStateArgsForCall = append(fake.putStateArgsForCall, struct {
arg1 string
arg2 []byte
}{arg1, arg2Copy})
fake.recordInvocation("PutState", []interface{}{arg1, arg2Copy})
fake.putStateMutex.Unlock()
if fake.PutStateStub != nil {
return fake.PutStateStub(arg1, arg2)
}
if specificReturn {
return ret.result1
}
fakeReturns := fake.putStateReturns
return fakeReturns.result1
}
func (fake *MockStub) PutStateCallCount() int {
fake.putStateMutex.RLock()
defer fake.putStateMutex.RUnlock()
return len(fake.putStateArgsForCall)
}
func (fake *MockStub) PutStateArgsForCall(i int) (string, []byte) {
fake.putStateMutex.RLock()
defer fake.putStateMutex.RUnlock()
argsForCall := fake.putStateArgsForCall[i]
return argsForCall.arg1, argsForCall.arg2
}
func (fake *MockStub) PutStateReturns(result1 error) {
fake.PutStateStub = nil
fake.putStateReturns = struct {
result1 error
}{result1}
}
func (fake *MockStub) PutStateReturnsOnCall(i int, result1 error) {
fake.PutStateStub = nil
if fake.putStateReturnsOnCall == nil {
fake.putStateReturnsOnCall = make(map[int]struct {
result1 error
})
}
fake.putStateReturnsOnCall[i] = struct {
result1 error
}{result1}
}
func (fake *MockStub) SetEvent(arg1 string, arg2 []byte) error {
var arg2Copy []byte
if arg2 != nil {
arg2Copy = make([]byte, len(arg2))
copy(arg2Copy, arg2)
}
fake.setEventMutex.Lock()
ret, specificReturn := fake.setEventReturnsOnCall[len(fake.setEventArgsForCall)]
fake.setEventArgsForCall = append(fake.setEventArgsForCall, struct {
arg1 string
arg2 []byte
}{arg1, arg2Copy})
fake.recordInvocation("SetEvent", []interface{}{arg1, arg2Copy})
fake.setEventMutex.Unlock()
if fake.SetEventStub != nil {
return fake.SetEventStub(arg1, arg2)
}
if specificReturn {
return ret.result1
}
fakeReturns := fake.setEventReturns
return fakeReturns.result1
}
func (fake *MockStub) SetEventCallCount() int {
fake.setEventMutex.RLock()
defer fake.setEventMutex.RUnlock()
return len(fake.setEventArgsForCall)
}
func (fake *MockStub) SetEventArgsForCall(i int) (string, []byte) {
fake.setEventMutex.RLock()
defer fake.setEventMutex.RUnlock()
argsForCall := fake.setEventArgsForCall[i]
return argsForCall.arg1, argsForCall.arg2
}
func (fake *MockStub) SetEventReturns(result1 error) {
fake.SetEventStub = nil
fake.setEventReturns = struct {
result1 error
}{result1}
}
func (fake *MockStub) SetEventReturnsOnCall(i int, result1 error) {
fake.SetEventStub = nil
if fake.setEventReturnsOnCall == nil {
fake.setEventReturnsOnCall = make(map[int]struct {
result1 error
})
}
fake.setEventReturnsOnCall[i] = struct {
result1 error
}{result1}
}
func (fake *MockStub) SetPrivateDataValidationParameter(arg1 string, arg2 string, arg3 []byte) error {
var arg3Copy []byte
if arg3 != nil {
arg3Copy = make([]byte, len(arg3))
copy(arg3Copy, arg3)
}
fake.setPrivateDataValidationParameterMutex.Lock()
ret, specificReturn := fake.setPrivateDataValidationParameterReturnsOnCall[len(fake.setPrivateDataValidationParameterArgsForCall)]
fake.setPrivateDataValidationParameterArgsForCall = append(fake.setPrivateDataValidationParameterArgsForCall, struct {
arg1 string
arg2 string
arg3 []byte
}{arg1, arg2, arg3Copy})
fake.recordInvocation("SetPrivateDataValidationParameter", []interface{}{arg1, arg2, arg3Copy})
fake.setPrivateDataValidationParameterMutex.Unlock()
if fake.SetPrivateDataValidationParameterStub != nil {
return fake.SetPrivateDataValidationParameterStub(arg1, arg2, arg3)
}
if specificReturn {
return ret.result1
}
fakeReturns := fake.setPrivateDataValidationParameterReturns
return fakeReturns.result1
}
func (fake *MockStub) SetPrivateDataValidationParameterCallCount() int {
fake.setPrivateDataValidationParameterMutex.RLock()
defer fake.setPrivateDataValidationParameterMutex.RUnlock()
return len(fake.setPrivateDataValidationParameterArgsForCall)
}
func (fake *MockStub) SetPrivateDataValidationParameterArgsForCall(i int) (string, string, []byte) {
fake.setPrivateDataValidationParameterMutex.RLock()
defer fake.setPrivateDataValidationParameterMutex.RUnlock()
argsForCall := fake.setPrivateDataValidationParameterArgsForCall[i]
return argsForCall.arg1, argsForCall.arg2, argsForCall.arg3
}
func (fake *MockStub) SetPrivateDataValidationParameterReturns(result1 error) {
fake.SetPrivateDataValidationParameterStub = nil
fake.setPrivateDataValidationParameterReturns = struct {
result1 error
}{result1}
}
func (fake *MockStub) SetPrivateDataValidationParameterReturnsOnCall(i int, result1 error) {
fake.SetPrivateDataValidationParameterStub = nil
if fake.setPrivateDataValidationParameterReturnsOnCall == nil {
fake.setPrivateDataValidationParameterReturnsOnCall = make(map[int]struct {
result1 error
})
}
fake.setPrivateDataValidationParameterReturnsOnCall[i] = struct {
result1 error
}{result1}
}
func (fake *MockStub) SetStateValidationParameter(arg1 string, arg2 []byte) error {
var arg2Copy []byte
if arg2 != nil {
arg2Copy = make([]byte, len(arg2))
copy(arg2Copy, arg2)
}
fake.setStateValidationParameterMutex.Lock()
ret, specificReturn := fake.setStateValidationParameterReturnsOnCall[len(fake.setStateValidationParameterArgsForCall)]
fake.setStateValidationParameterArgsForCall = append(fake.setStateValidationParameterArgsForCall, struct {
arg1 string
arg2 []byte
}{arg1, arg2Copy})
fake.recordInvocation("SetStateValidationParameter", []interface{}{arg1, arg2Copy})
fake.setStateValidationParameterMutex.Unlock()
if fake.SetStateValidationParameterStub != nil {
return fake.SetStateValidationParameterStub(arg1, arg2)
}
if specificReturn {
return ret.result1
}
fakeReturns := fake.setStateValidationParameterReturns
return fakeReturns.result1
}
func (fake *MockStub) SetStateValidationParameterCallCount() int {
fake.setStateValidationParameterMutex.RLock()
defer fake.setStateValidationParameterMutex.RUnlock()
return len(fake.setStateValidationParameterArgsForCall)
}
func (fake *MockStub) SetStateValidationParameterArgsForCall(i int) (string, []byte) {
fake.setStateValidationParameterMutex.RLock()
defer fake.setStateValidationParameterMutex.RUnlock()
argsForCall := fake.setStateValidationParameterArgsForCall[i]
return argsForCall.arg1, argsForCall.arg2
}
func (fake *MockStub) SetStateValidationParameterReturns(result1 error) {
fake.SetStateValidationParameterStub = nil
fake.setStateValidationParameterReturns = struct {
result1 error
}{result1}
}
func (fake *MockStub) SetStateValidationParameterReturnsOnCall(i int, result1 error) {
fake.SetStateValidationParameterStub = nil
if fake.setStateValidationParameterReturnsOnCall == nil {
fake.setStateValidationParameterReturnsOnCall = make(map[int]struct {
result1 error
})
}
fake.setStateValidationParameterReturnsOnCall[i] = struct {
result1 error
}{result1}
}
func (fake *MockStub) SplitCompositeKey(arg1 string) (string, []string, error) {
fake.splitCompositeKeyMutex.Lock()
ret, specificReturn := fake.splitCompositeKeyReturnsOnCall[len(fake.splitCompositeKeyArgsForCall)]
fake.splitCompositeKeyArgsForCall = append(fake.splitCompositeKeyArgsForCall, struct {
arg1 string
}{arg1})
fake.recordInvocation("SplitCompositeKey", []interface{}{arg1})
fake.splitCompositeKeyMutex.Unlock()
if fake.SplitCompositeKeyStub != nil {
return fake.SplitCompositeKeyStub(arg1)
}
if specificReturn {
return ret.result1, ret.result2, ret.result3
}
fakeReturns := fake.splitCompositeKeyReturns
return fakeReturns.result1, fakeReturns.result2, fakeReturns.result3
}
func (fake *MockStub) SplitCompositeKeyCallCount() int {
fake.splitCompositeKeyMutex.RLock()
defer fake.splitCompositeKeyMutex.RUnlock()
return len(fake.splitCompositeKeyArgsForCall)
}
func (fake *MockStub) SplitCompositeKeyArgsForCall(i int) string {
fake.splitCompositeKeyMutex.RLock()
defer fake.splitCompositeKeyMutex.RUnlock()
argsForCall := fake.splitCompositeKeyArgsForCall[i]
return argsForCall.arg1
}
func (fake *MockStub) SplitCompositeKeyReturns(result1 string, result2 []string, result3 error) {
fake.SplitCompositeKeyStub = nil
fake.splitCompositeKeyReturns = struct {
result1 string
result2 []string
result3 error
}{result1, result2, result3}
}
func (fake *MockStub) SplitCompositeKeyReturnsOnCall(i int, result1 string, result2 []string, result3 error) {
fake.SplitCompositeKeyStub = nil
if fake.splitCompositeKeyReturnsOnCall == nil {
fake.splitCompositeKeyReturnsOnCall = make(map[int]struct {
result1 string
result2 []string
result3 error
})
}
fake.splitCompositeKeyReturnsOnCall[i] = struct {
result1 string
result2 []string
result3 error
}{result1, result2, result3}
}
func (fake *MockStub) Invocations() map[string][][]interface{} {
fake.invocationsMutex.RLock()
defer fake.invocationsMutex.RUnlock()
fake.createCompositeKeyMutex.RLock()
defer fake.createCompositeKeyMutex.RUnlock()
fake.delPrivateDataMutex.RLock()
defer fake.delPrivateDataMutex.RUnlock()
fake.delStateMutex.RLock()
defer fake.delStateMutex.RUnlock()
fake.getArgsMutex.RLock()
defer fake.getArgsMutex.RUnlock()
fake.getArgsSliceMutex.RLock()
defer fake.getArgsSliceMutex.RUnlock()
fake.getBindingMutex.RLock()
defer fake.getBindingMutex.RUnlock()
fake.getChannelIDMutex.RLock()
defer fake.getChannelIDMutex.RUnlock()
fake.getCreatorMutex.RLock()
defer fake.getCreatorMutex.RUnlock()
fake.getDecorationsMutex.RLock()
defer fake.getDecorationsMutex.RUnlock()
fake.getFunctionAndParametersMutex.RLock()
defer fake.getFunctionAndParametersMutex.RUnlock()
fake.getHistoryForKeyMutex.RLock()
defer fake.getHistoryForKeyMutex.RUnlock()
fake.getPrivateDataMutex.RLock()
defer fake.getPrivateDataMutex.RUnlock()
fake.getPrivateDataByPartialCompositeKeyMutex.RLock()
defer fake.getPrivateDataByPartialCompositeKeyMutex.RUnlock()
fake.getPrivateDataByRangeMutex.RLock()
defer fake.getPrivateDataByRangeMutex.RUnlock()
fake.getPrivateDataQueryResultMutex.RLock()
defer fake.getPrivateDataQueryResultMutex.RUnlock()
fake.getPrivateDataValidationParameterMutex.RLock()
defer fake.getPrivateDataValidationParameterMutex.RUnlock()
fake.getQueryResultMutex.RLock()
defer fake.getQueryResultMutex.RUnlock()
fake.getQueryResultWithPaginationMutex.RLock()
defer fake.getQueryResultWithPaginationMutex.RUnlock()
fake.getSignedProposalMutex.RLock()
defer fake.getSignedProposalMutex.RUnlock()
fake.getStateMutex.RLock()
defer fake.getStateMutex.RUnlock()
fake.getStateByPartialCompositeKeyMutex.RLock()
defer fake.getStateByPartialCompositeKeyMutex.RUnlock()
fake.getStateByPartialCompositeKeyWithPaginationMutex.RLock()
defer fake.getStateByPartialCompositeKeyWithPaginationMutex.RUnlock()
fake.getStateByRangeMutex.RLock()
defer fake.getStateByRangeMutex.RUnlock()
fake.getStateByRangeWithPaginationMutex.RLock()
defer fake.getStateByRangeWithPaginationMutex.RUnlock()
fake.getStateValidationParameterMutex.RLock()
defer fake.getStateValidationParameterMutex.RUnlock()
fake.getStringArgsMutex.RLock()
defer fake.getStringArgsMutex.RUnlock()
fake.getTransientMutex.RLock()
defer fake.getTransientMutex.RUnlock()
fake.getTxIDMutex.RLock()
defer fake.getTxIDMutex.RUnlock()
fake.getTxTimestampMutex.RLock()
defer fake.getTxTimestampMutex.RUnlock()
fake.invokeChaincodeMutex.RLock()
defer fake.invokeChaincodeMutex.RUnlock()
fake.putPrivateDataMutex.RLock()
defer fake.putPrivateDataMutex.RUnlock()
fake.putStateMutex.RLock()
defer fake.putStateMutex.RUnlock()
fake.setEventMutex.RLock()
defer fake.setEventMutex.RUnlock()
fake.setPrivateDataValidationParameterMutex.RLock()
defer fake.setPrivateDataValidationParameterMutex.RUnlock()
fake.setStateValidationParameterMutex.RLock()
defer fake.setStateValidationParameterMutex.RUnlock()
fake.splitCompositeKeyMutex.RLock()
defer fake.splitCompositeKeyMutex.RUnlock()
copiedInvocations := map[string][][]interface{}{}
for key, value := range fake.invocations {
copiedInvocations[key] = value
}
return copiedInvocations
}
func (fake *MockStub) recordInvocation(key string, args []interface{}) {
fake.invocationsMutex.Lock()
defer fake.invocationsMutex.Unlock()
if fake.invocations == nil {
fake.invocations = map[string][][]interface{}{}
}
if fake.invocations[key] == nil {
fake.invocations[key] = [][]interface{}{}
}
fake.invocations[key] = append(fake.invocations[key], args)
}
var _ shim.ChaincodeStubInterface = new(MockStub)
================================================
FILE: evmcc/statemanager/statemanager.go
================================================
/*
Copyright IBM Corp. All Rights Reserved.
SPDX-License-Identifier: Apache-2.0
*/
package statemanager
import (
"encoding/hex"
"strings"
"github.com/hyperledger/burrow/acm"
"github.com/hyperledger/burrow/binary"
"github.com/hyperledger/burrow/crypto"
"github.com/hyperledger/fabric/core/chaincode/shim"
)
type StateManager interface {
GetAccount(address crypto.Address) (*acm.Account, error)
GetStorage(address crypto.Address, key binary.Word256) (binary.Word256, error)
UpdateAccount(updatedAccount *acm.Account) error
RemoveAccount(address crypto.Address) error
SetStorage(address crypto.Address, key, value binary.Word256) error
}
type stateManager struct {
stub shim.ChaincodeStubInterface
// We will be looking into adding a cache for accounts later
// The cache can be single threaded because the statemanager is 1-1 with the evm which is single threaded.
cache map[string]binary.Word256
}
func NewStateManager(stub shim.ChaincodeStubInterface) StateManager {
return &stateManager{
stub: stub,
cache: make(map[string]binary.Word256),
}
}
func (s *stateManager) GetAccount(address crypto.Address) (*acm.Account, error) {
acctBytes, err := s.stub.GetState(strings.ToLower(address.String()))
if err != nil {
return nil, err
}
if len(acctBytes) == 0 {
return nil, nil
}
return acm.Decode(acctBytes)
}
func (s *stateManager) GetStorage(address crypto.Address, key binary.Word256) (binary.Word256, error) {
compKey := strings.ToLower(address.String()) + hex.EncodeToString(key.Bytes())
if val, ok := s.cache[compKey]; ok {
return val, nil
}
val, err := s.stub.GetState(compKey)
if err != nil {
return binary.Word256{}, err
}
return binary.LeftPadWord256(val), nil
}
func (s *stateManager) UpdateAccount(updatedAccount *acm.Account) error {
encodedAcct, err := updatedAccount.Encode()
if err != nil {
return err
}
return s.stub.PutState(hex.EncodeToString(updatedAccount.Address.Bytes()), encodedAcct)
}
func (s *stateManager) RemoveAccount(address crypto.Address) error {
return s.stub.DelState(strings.ToLower(address.String()))
}
func (s *stateManager) SetStorage(address crypto.Address, key, value binary.Word256) error {
compKey := strings.ToLower(address.String()) + hex.EncodeToString(key.Bytes())
var err error
if value == binary.Zero256 {
return s.stub.DelState(compKey)
}
if err = s.stub.PutState(compKey, value.Bytes()); err == nil {
s.cache[compKey] = value
}
return err
}
================================================
FILE: evmcc/statemanager/statemanager_suite_test.go
================================================
/*
Copyright IBM Corp. All Rights Reserved.
SPDX-License-Identifier: Apache-2.0
*/
package statemanager_test
import (
. "github.com/onsi/ginkgo"
. "github.com/onsi/gomega"
"testing"
)
func TestStatemanager(t *testing.T) {
RegisterFailHandler(Fail)
RunSpecs(t, "Statemanager Suite")
}
================================================
FILE: evmcc/statemanager/statemanager_test.go
================================================
/*
Copyright IBM Corp. All Rights Reserved.
SPDX-License-Identifier: Apache-2.0
*/
package statemanager_test
import (
"encoding/hex"
"errors"
"github.com/hyperledger/burrow/acm"
"github.com/hyperledger/burrow/binary"
"github.com/hyperledger/burrow/crypto"
"github.com/hyperledger/fabric-chaincode-evm/evmcc/mocks"
"github.com/hyperledger/fabric-chaincode-evm/evmcc/statemanager"
. "github.com/onsi/ginkgo"
. "github.com/onsi/gomega"
)
var _ = Describe("Statemanager", func() {
var (
sm statemanager.StateManager
mockStub *mocks.MockStub
addr crypto.Address
fakeGetLedger map[string][]byte
fakePutLedger map[string][]byte
)
BeforeEach(func() {
mockStub = &mocks.MockStub{}
sm = statemanager.NewStateManager(mockStub)
var err error
addr, err = crypto.AddressFromBytes([]byte("0000000000000address"))
Expect(err).ToNot(HaveOccurred())
fakeGetLedger = make(map[string][]byte)
fakePutLedger = make(map[string][]byte)
//Writing to a separate ledger so that writes to the ledger cannot be read in the same transaction.
// This is more consistent with the behavior fo the ledger
mockStub.PutStateStub = func(key string, value []byte) error {
fakePutLedger[key] = value
return nil
}
mockStub.GetStateStub = func(key string) ([]byte, error) {
return fakeGetLedger[key], nil
}
mockStub.DelStateStub = func(key string) error {
delete(fakePutLedger, key)
return nil
}
})
Describe("GetAccount", func() {
It("returns the account associated with the address", func() {
expectedAcct := &acm.Account{
Address: addr,
Code: []byte("account code"),
}
encodedAcct, err := expectedAcct.Encode()
Expect(err).ToNot(HaveOccurred())
fakeGetLedger[addr.String()] = encodedAcct
acct, err := sm.GetAccount(addr)
Expect(err).ToNot(HaveOccurred())
Expect(acct).To(Equal(expectedAcct))
})
Context("when no account exists", func() {
It("returns nil", func() {
acct, err := sm.GetAccount(addr)
Expect(err).ToNot(HaveOccurred())
Expect(acct).To(BeNil())
})
})
Context("when GetState errors out", func() {
BeforeEach(func() {
mockStub.GetStateReturns(nil, errors.New("boom!"))
})
It("returns a nil account and an error", func() {
acct, err := sm.GetAccount(addr)
Expect(err).To(HaveOccurred())
Expect(acct).To(BeNil())
})
})
})
Describe("GetStorage", func() {
var expectedVal, key binary.Word256
BeforeEach(func() {
expectedVal = binary.LeftPadWord256([]byte("storage-value"))
key = binary.LeftPadWord256([]byte("key"))
})
It("returns the value associated with the key", func() {
fakeGetLedger[addr.String()+hex.EncodeToString(key.Bytes())] = expectedVal.Bytes()
val, err := sm.GetStorage(addr, key)
Expect(err).ToNot(HaveOccurred())
Expect(val).To(Equal(expectedVal))
})
Context("when GetState returns an error", func() {
BeforeEach(func() {
mockStub.GetStateReturns(nil, errors.New("boom!"))
})
It("returns an error", func() {
val, err := sm.GetStorage(addr, key)
Expect(err).To(HaveOccurred())
Expect(val).To(Equal(binary.Word256{}))
})
})
Context("when a GetStorage is called after an SetStorage on the same key in the same tx", func() {
var initialVal, updatedVal binary.Word256
BeforeEach(func() {
initialVal = binary.LeftPadWord256([]byte("storage-value"))
updatedVal = binary.LeftPadWord256([]byte("updated-storage-value"))
fakeGetLedger[addr.String()+hex.EncodeToString(key.Bytes())] = initialVal.Bytes()
val, err := sm.GetStorage(addr, key)
Expect(err).ToNot(HaveOccurred())
Expect(val).To(Equal(initialVal))
err = sm.SetStorage(addr, key, updatedVal)
Expect(err).ToNot(HaveOccurred())
})
It("returns the account that was previously written in the same tx", func() {
val, err := sm.GetStorage(addr, key)
Expect(err).ToNot(HaveOccurred())
Expect(val).To(Equal(updatedVal))
})
})
})
Describe("UpdateAccount", func() {
var initialCode []byte
BeforeEach(func() {
initialCode = []byte("account code")
})
Context("when the account didn't exist", func() {
It("creates the account", func() {
expectedAcct := &acm.Account{
Address: addr,
Code: initialCode,
}
encodedAcct, err := expectedAcct.Encode()
Expect(err).ToNot(HaveOccurred())
err = sm.UpdateAccount(expectedAcct)
Expect(err).ToNot(HaveOccurred())
Expect(mockStub.PutStateCallCount()).To(Equal(1))
key, code := mockStub.PutStateArgsForCall(0)
Expect(key).To(Equal(addr.String()))
Expect(code).To(Equal(encodedAcct))
})
})
Context("when the account exists", func() {
It("updates the account", func() {
fakeGetLedger[addr.String()] = initialCode
updatedAccount := &acm.Account{
Address: addr,
Code: []byte("updated account code"),
}
encodedAcct, err := updatedAccount.Encode()
Expect(err).ToNot(HaveOccurred())
err = sm.UpdateAccount(updatedAccount)
Expect(err).ToNot(HaveOccurred())
Expect(mockStub.PutStateCallCount()).To(Equal(1))
putAddr, putVal := mockStub.PutStateArgsForCall(0)
Expect(putAddr).To(Equal(addr.String()))
Expect(putVal).To(Equal(encodedAcct))
})
})
Context("when stub throws an error", func() {
BeforeEach(func() {
mockStub.PutStateReturns(errors.New("boom!"))
})
It("returns an error", func() {
expectedAcct := &acm.Account{
Address: addr,
Code: initialCode,
}
err := sm.UpdateAccount(expectedAcct)
Expect(err).To(HaveOccurred())
})
})
})
Describe("RemoveAccount", func() {
Context("when the account existed previously", func() {
It("removes the account", func() {
fakeGetLedger[addr.String()] = []byte("account code")
err := sm.RemoveAccount(addr)
Expect(err).ToNot(HaveOccurred())
Expect(mockStub.DelStateCallCount()).To(Equal(1))
delAddr := mockStub.DelStateArgsForCall(0)
Expect(delAddr).To(Equal(addr.String()))
})
})
Context("when the account did not exists previously", func() {
It("does not return an error", func() {
err := sm.RemoveAccount(addr)
Expect(err).ToNot(HaveOccurred())
Expect(mockStub.DelStateCallCount()).To(Equal(1))
delAddr := mockStub.DelStateArgsForCall(0)
Expect(delAddr).To(Equal(addr.String()))
})
})
Context("when stub throws an error", func() {
BeforeEach(func() {
mockStub.DelStateReturns(errors.New("boom!"))
})
It("returns an error", func() {
err := sm.RemoveAccount(addr)
Expect(err).To(HaveOccurred())
})
})
})
Describe("SetStorage", func() {
var (
key, initialVal binary.Word256
compKey string
)
BeforeEach(func() {
initialVal = binary.LeftPadWord256([]byte("storage-value"))
key = binary.LeftPadWord256([]byte("key"))
compKey = addr.String() + hex.EncodeToString(key.Bytes())
})
Context("when key already exists", func() {
It("updates the key value pair", func() {
err := mockStub.PutState(compKey, initialVal.Bytes())
Expect(err).ToNot(HaveOccurred())
updatedVal := binary.LeftPadWord256([]byte("updated-storage-value"))
err = sm.SetStorage(addr, key, updatedVal)
Expect(err).ToNot(HaveOccurred())
Expect(mockStub.PutStateCallCount()).To(Equal(2))
putKey, putVal := mockStub.PutStateArgsForCall(1)
Expect(putKey).To(Equal(compKey))
Expect(putVal).To(Equal(updatedVal.Bytes()))
})
})
Context("when the key does not exist", func() {
It("creates the key value pair", func() {
err := sm.SetStorage(addr, key, initialVal)
Expect(err).ToNot(HaveOccurred())
Expect(mockStub.PutStateCallCount()).To(Equal(1))
putKey, putVal := mockStub.PutStateArgsForCall(0)
Expect(putKey).To(Equal(compKey))
Expect(putVal).To(Equal(initialVal.Bytes()))
})
})
Context("when stub throws an error", func() {
BeforeEach(func() {
mockStub.PutStateReturns(errors.New("boom!"))
})
It("returns an error", func() {
err := sm.SetStorage(addr, key, initialVal)
Expect(err).To(HaveOccurred())
val, err := mockStub.GetState(compKey)
Expect(err).ToNot(HaveOccurred())
Expect(val).To(BeEmpty())
})
})
Context("when value is the zero value", func() {
It("deletes the key", func() {
err := sm.SetStorage(addr, key, initialVal)
Expect(err).ToNot(HaveOccurred())
Expect(mockStub.PutStateCallCount()).To(Equal(1))
err = sm.SetStorage(addr, key, binary.Zero256)
Expect(err).ToNot(HaveOccurred())
Expect(mockStub.DelStateCallCount()).To(Equal(1))
deleteKey := mockStub.DelStateArgsForCall(0)
Expect(deleteKey).To(Equal(compKey))
})
})
})
})
================================================
FILE: evmcc/vendor/github.com/Azure/go-ansiterm/LICENSE
================================================
The MIT License (MIT)
Copyright (c) 2015 Microsoft Corporation
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
================================================
FILE: evmcc/vendor/github.com/Azure/go-ansiterm/README.md
================================================
# go-ansiterm
This is a cross platform Ansi Terminal Emulation library. It reads a stream of Ansi characters and produces the appropriate function calls. The results of the function calls are platform dependent.
For example the parser might receive "ESC, [, A" as a stream of three characters. This is the code for Cursor Up (http://www.vt100.net/docs/vt510-rm/CUU). The parser then calls the cursor up function (CUU()) on an event handler. The event handler determines what platform specific work must be done to cause the cursor to move up one position.
The parser (parser.go) is a partial implementation of this state machine (http://vt100.net/emu/vt500_parser.png). There are also two event handler implementations, one for tests (test_event_handler.go) to validate that the expected events are being produced and called, the other is a Windows implementation (winterm/win_event_handler.go).
See parser_test.go for examples exercising the state machine and generating appropriate function calls.
-----
This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/). For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.
================================================
FILE: evmcc/vendor/github.com/Azure/go-ansiterm/constants.go
================================================
package ansiterm
const LogEnv = "DEBUG_TERMINAL"
// ANSI constants
// References:
// -- http://www.ecma-international.org/publications/standards/Ecma-048.htm
// -- http://man7.org/linux/man-pages/man4/console_codes.4.html
// -- http://manpages.ubuntu.com/manpages/intrepid/man4/console_codes.4.html
// -- http://en.wikipedia.org/wiki/ANSI_escape_code
// -- http://vt100.net/emu/dec_ansi_parser
// -- http://vt100.net/emu/vt500_parser.svg
// -- http://invisible-island.net/xterm/ctlseqs/ctlseqs.html
// -- http://www.inwap.com/pdp10/ansicode.txt
const (
// ECMA-48 Set Graphics Rendition
// Note:
// -- Constants leading with an underscore (e.g., _ANSI_xxx) are unsupported or reserved
// -- Fonts could possibly be supported via SetCurrentConsoleFontEx
// -- Windows does not expose the per-window cursor (i.e., caret) blink times
ANSI_SGR_RESET = 0
ANSI_SGR_BOLD = 1
ANSI_SGR_DIM = 2
_ANSI_SGR_ITALIC = 3
ANSI_SGR_UNDERLINE = 4
_ANSI_SGR_BLINKSLOW = 5
_ANSI_SGR_BLINKFAST = 6
ANSI_SGR_REVERSE = 7
_ANSI_SGR_INVISIBLE = 8
_ANSI_SGR_LINETHROUGH = 9
_ANSI_SGR_FONT_00 = 10
_ANSI_SGR_FONT_01 = 11
_ANSI_SGR_FONT_02 = 12
_ANSI_SGR_FONT_03 = 13
_ANSI_SGR_FONT_04 = 14
_ANSI_SGR_FONT_05 = 15
_ANSI_SGR_FONT_06 = 16
_ANSI_SGR_FONT_07 = 17
_ANSI_SGR_FONT_08 = 18
_ANSI_SGR_FONT_09 = 19
_ANSI_SGR_FONT_10 = 20
_ANSI_SGR_DOUBLEUNDERLINE = 21
ANSI_SGR_BOLD_DIM_OFF = 22
_ANSI_SGR_ITALIC_OFF = 23
ANSI_SGR_UNDERLINE_OFF = 24
_ANSI_SGR_BLINK_OFF = 25
_ANSI_SGR_RESERVED_00 = 26
ANSI_SGR_REVERSE_OFF = 27
_ANSI_SGR_INVISIBLE_OFF = 28
_ANSI_SGR_LINETHROUGH_OFF = 29
ANSI_SGR_FOREGROUND_BLACK = 30
ANSI_SGR_FOREGROUND_RED = 31
ANSI_SGR_FOREGROUND_GREEN = 32
ANSI_SGR_FOREGROUND_YELLOW = 33
ANSI_SGR_FOREGROUND_BLUE = 34
ANSI_SGR_FOREGROUND_MAGENTA = 35
ANSI_SGR_FOREGROUND_CYAN = 36
ANSI_SGR_FOREGROUND_WHITE = 37
_ANSI_SGR_RESERVED_01 = 38
ANSI_SGR_FOREGROUND_DEFAULT = 39
ANSI_SGR_BACKGROUND_BLACK = 40
ANSI_SGR_BACKGROUND_RED = 41
ANSI_SGR_BACKGROUND_GREEN = 42
ANSI_SGR_BACKGROUND_YELLOW = 43
ANSI_SGR_BACKGROUND_BLUE = 44
ANSI_SGR_BACKGROUND_MAGENTA = 45
ANSI_SGR_BACKGROUND_CYAN = 46
ANSI_SGR_BACKGROUND_WHITE = 47
_ANSI_SGR_RESERVED_02 = 48
ANSI_SGR_BACKGROUND_DEFAULT = 49
// 50 - 65: Unsupported
ANSI_MAX_CMD_LENGTH = 4096
MAX_INPUT_EVENTS = 128
DEFAULT_WIDTH = 80
DEFAULT_HEIGHT = 24
ANSI_BEL = 0x07
ANSI_BACKSPACE = 0x08
ANSI_TAB = 0x09
ANSI_LINE_FEED = 0x0A
ANSI_VERTICAL_TAB = 0x0B
ANSI_FORM_FEED = 0x0C
ANSI_CARRIAGE_RETURN = 0x0D
ANSI_ESCAPE_PRIMARY = 0x1B
ANSI_ESCAPE_SECONDARY = 0x5B
ANSI_OSC_STRING_ENTRY = 0x5D
ANSI_COMMAND_FIRST = 0x40
ANSI_COMMAND_LAST = 0x7E
DCS_ENTRY = 0x90
CSI_ENTRY = 0x9B
OSC_STRING = 0x9D
ANSI_PARAMETER_SEP = ";"
ANSI_CMD_G0 = '('
ANSI_CMD_G1 = ')'
ANSI_CMD_G2 = '*'
ANSI_CMD_G3 = '+'
ANSI_CMD_DECPNM = '>'
ANSI_CMD_DECPAM = '='
ANSI_CMD_OSC = ']'
ANSI_CMD_STR_TERM = '\\'
KEY_CONTROL_PARAM_2 = ";2"
KEY_CONTROL_PARAM_3 = ";3"
KEY_CONTROL_PARAM_4 = ";4"
KEY_CONTROL_PARAM_5 = ";5"
KEY_CONTROL_PARAM_6 = ";6"
KEY_CONTROL_PARAM_7 = ";7"
KEY_CONTROL_PARAM_8 = ";8"
KEY_ESC_CSI = "\x1B["
KEY_ESC_N = "\x1BN"
KEY_ESC_O = "\x1BO"
FILL_CHARACTER = ' '
)
func getByteRange(start byte, end byte) []byte {
bytes := make([]byte, 0, 32)
for i := start; i <= end; i++ {
bytes = append(bytes, byte(i))
}
return bytes
}
var toGroundBytes = getToGroundBytes()
var executors = getExecuteBytes()
// SPACE 20+A0 hex Always and everywhere a blank space
// Intermediate 20-2F hex !"#$%&'()*+,-./
var intermeds = getByteRange(0x20, 0x2F)
// Parameters 30-3F hex 0123456789:;<=>?
// CSI Parameters 30-39, 3B hex 0123456789;
var csiParams = getByteRange(0x30, 0x3F)
var csiCollectables = append(getByteRange(0x30, 0x39), getByteRange(0x3B, 0x3F)...)
// Uppercase 40-5F hex @ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_
var upperCase = getByteRange(0x40, 0x5F)
// Lowercase 60-7E hex `abcdefghijlkmnopqrstuvwxyz{|}~
var lowerCase = getByteRange(0x60, 0x7E)
// Alphabetics 40-7E hex (all of upper and lower case)
var alphabetics = append(upperCase, lowerCase...)
var printables = getByteRange(0x20, 0x7F)
var escapeIntermediateToGroundBytes = getByteRange(0x30, 0x7E)
var escapeToGroundBytes = getEscapeToGroundBytes()
// See http://www.vt100.net/emu/vt500_parser.png for description of the complex
// byte ranges below
func getEscapeToGroundBytes() []byte {
escapeToGroundBytes := getByteRange(0x30, 0x4F)
escapeToGroundBytes = append(escapeToGroundBytes, getByteRange(0x51, 0x57)...)
escapeToGroundBytes = append(escapeToGroundBytes, 0x59)
escapeToGroundBytes = append(escapeToGroundBytes, 0x5A)
escapeToGroundBytes = append(escapeToGroundBytes, 0x5C)
escapeToGroundBytes = append(escapeToGroundBytes, getByteRange(0x60, 0x7E)...)
return escapeToGroundBytes
}
func getExecuteBytes() []byte {
executeBytes := getByteRange(0x00, 0x17)
executeBytes = append(executeBytes, 0x19)
executeBytes = append(executeBytes, getByteRange(0x1C, 0x1F)...)
return executeBytes
}
func getToGroundBytes() []byte {
groundBytes := []byte{0x18}
groundBytes = append(groundBytes, 0x1A)
groundBytes = append(groundBytes, getByteRange(0x80, 0x8F)...)
groundBytes = append(groundBytes, getByteRange(0x91, 0x97)...)
groundBytes = append(groundBytes, 0x99)
groundBytes = append(groundBytes, 0x9A)
groundBytes = append(groundBytes, 0x9C)
return groundBytes
}
// Delete 7F hex Always and everywhere ignored
// C1 Control 80-9F hex 32 additional control characters
// G1 Displayable A1-FE hex 94 additional displayable characters
// Special A0+FF hex Same as SPACE and DELETE
================================================
FILE: evmcc/vendor/github.com/Azure/go-ansiterm/context.go
================================================
package ansiterm
type ansiContext struct {
currentChar byte
paramBuffer []byte
interBuffer []byte
}
================================================
FILE: evmcc/vendor/github.com/Azure/go-ansiterm/csi_entry_state.go
================================================
package ansiterm
type csiEntryState struct {
baseState
}
func (csiState csiEntryState) Handle(b byte) (s state, e error) {
csiState.parser.logf("CsiEntry::Handle %#x", b)
nextState, err := csiState.baseState.Handle(b)
if nextState != nil || err != nil {
return nextState, err
}
switch {
case sliceContains(alphabetics, b):
return csiState.parser.ground, nil
case sliceContains(csiCollectables, b):
return csiState.parser.csiParam, nil
case sliceContains(executors, b):
return csiState, csiState.parser.execute()
}
return csiState, nil
}
func (csiState csiEntryState) Transition(s state) error {
csiState.parser.logf("CsiEntry::Transition %s --> %s", csiState.Name(), s.Name())
csiState.baseState.Transition(s)
switch s {
case csiState.parser.ground:
return csiState.parser.csiDispatch()
case csiState.parser.csiParam:
switch {
case sliceContains(csiParams, csiState.parser.context.currentChar):
csiState.parser.collectParam()
case sliceContains(intermeds, csiState.parser.context.currentChar):
csiState.parser.collectInter()
}
}
return nil
}
func (csiState csiEntryState) Enter() error {
csiState.parser.clear()
return nil
}
================================================
FILE: evmcc/vendor/github.com/Azure/go-ansiterm/csi_param_state.go
================================================
package ansiterm
type csiParamState struct {
baseState
}
func (csiState csiParamState) Handle(b byte) (s state, e error) {
csiState.parser.logf("CsiParam::Handle %#x", b)
nextState, err := csiState.baseState.Handle(b)
if nextState != nil || err != nil {
return nextState, err
}
switch {
case sliceContains(alphabetics, b):
return csiState.parser.ground, nil
case sliceContains(csiCollectables, b):
csiState.parser.collectParam()
return csiState, nil
case sliceContains(executors, b):
return csiState, csiState.parser.execute()
}
return csiState, nil
}
func (csiState csiParamState) Transition(s state) error {
csiState.parser.logf("CsiParam::Transition %s --> %s", csiState.Name(), s.Name())
csiState.baseState.Transition(s)
switch s {
case csiState.parser.ground:
return csiState.parser.csiDispatch()
}
return nil
}
================================================
FILE: evmcc/vendor/github.com/Azure/go-ansiterm/escape_intermediate_state.go
================================================
package ansiterm
type escapeIntermediateState struct {
baseState
}
func (escState escapeIntermediateState) Handle(b byte) (s state, e error) {
escState.parser.logf("escapeIntermediateState::Handle %#x", b)
nextState, err := escState.baseState.Handle(b)
if nextState != nil || err != nil {
return nextState, err
}
switch {
case sliceContains(intermeds, b):
return escState, escState.parser.collectInter()
case sliceContains(executors, b):
return escState, escState.parser.execute()
case sliceContains(escapeIntermediateToGroundBytes, b):
return escState.parser.ground, nil
}
return escState, nil
}
func (escState escapeIntermediateState) Transition(s state) error {
escState.parser.logf("escapeIntermediateState::Transition %s --> %s", escState.Name(), s.Name())
escState.baseState.Transition(s)
switch s {
case escState.parser.ground:
return escState.parser.escDispatch()
}
return nil
}
================================================
FILE: evmcc/vendor/github.com/Azure/go-ansiterm/escape_state.go
================================================
package ansiterm
type escapeState struct {
baseState
}
func (escState escapeState) Handle(b byte) (s state, e error) {
escState.parser.logf("escapeState::Handle %#x", b)
nextState, err := escState.baseState.Handle(b)
if nextState != nil || err != nil {
return nextState, err
}
switch {
case b == ANSI_ESCAPE_SECONDARY:
return escState.parser.csiEntry, nil
case b == ANSI_OSC_STRING_ENTRY:
return escState.parser.oscString, nil
case sliceContains(executors, b):
return escState, escState.parser.execute()
case sliceContains(escapeToGroundBytes, b):
return escState.parser.ground, nil
case sliceContains(intermeds, b):
return escState.parser.escapeIntermediate, nil
}
return escState, nil
}
func (escState escapeState) Transition(s state) error {
escState.parser.logf("Escape::Transition %s --> %s", escState.Name(), s.Name())
escState.baseState.Transition(s)
switch s {
case escState.parser.ground:
return escState.parser.escDispatch()
case escState.parser.escapeIntermediate:
return escState.parser.collectInter()
}
return nil
}
func (escState escapeState) Enter() error {
escState.parser.clear()
return nil
}
================================================
FILE: evmcc/vendor/github.com/Azure/go-ansiterm/event_handler.go
================================================
package ansiterm
type AnsiEventHandler interface {
// Print
Print(b byte) error
// Execute C0 commands
Execute(b byte) error
// CUrsor Up
CUU(int) error
// CUrsor Down
CUD(int) error
// CUrsor Forward
CUF(int) error
// CUrsor Backward
CUB(int) error
// Cursor to Next Line
CNL(int) error
// Cursor to Previous Line
CPL(int) error
// Cursor Horizontal position Absolute
CHA(int) error
// Vertical line Position Absolute
VPA(int) error
// CUrsor Position
CUP(int, int) error
// Horizontal and Vertical Position (depends on PUM)
HVP(int, int) error
// Text Cursor Enable Mode
DECTCEM(bool) error
// Origin Mode
DECOM(bool) error
// 132 Column Mode
DECCOLM(bool) error
// Erase in Display
ED(int) error
// Erase in Line
EL(int) error
// Insert Line
IL(int) error
// Delete Line
DL(int) error
// Insert Character
ICH(int) error
// Delete Character
DCH(int) error
// Set Graphics Rendition
SGR([]int) error
// Pan Down
SU(int) error
// Pan Up
SD(int) error
// Device Attributes
DA([]string) error
// Set Top and Bottom Margins
DECSTBM(int, int) error
// Index
IND() error
// Reverse Index
RI() error
// Flush updates from previous commands
Flush() error
}
================================================
FILE: evmcc/vendor/github.com/Azure/go-ansiterm/ground_state.go
================================================
package ansiterm
type groundState struct {
baseState
}
func (gs groundState) Handle(b byte) (s state, e error) {
gs.parser.context.currentChar = b
nextState, err := gs.baseState.Handle(b)
if nextState != nil || err != nil {
return nextState, err
}
switch {
case sliceContains(printables, b):
return gs, gs.parser.print()
case sliceContains(executors, b):
return gs, gs.parser.execute()
}
return gs, nil
}
================================================
FILE: evmcc/vendor/github.com/Azure/go-ansiterm/osc_string_state.go
================================================
package ansiterm
type oscStringState struct {
baseState
}
func (oscState oscStringState) Handle(b byte) (s state, e error) {
oscState.parser.logf("OscString::Handle %#x", b)
nextState, err := oscState.baseState.Handle(b)
if nextState != nil || err != nil {
return nextState, err
}
switch {
case isOscStringTerminator(b):
return oscState.parser.ground, nil
}
return oscState, nil
}
// See below for OSC string terminators for linux
// http://man7.org/linux/man-pages/man4/console_codes.4.html
func isOscStringTerminator(b byte) bool {
if b == ANSI_BEL || b == 0x5C {
return true
}
return false
}
================================================
FILE: evmcc/vendor/github.com/Azure/go-ansiterm/parser.go
================================================
package ansiterm
import (
"errors"
"log"
"os"
)
type AnsiParser struct {
currState state
eventHandler AnsiEventHandler
context *ansiContext
csiEntry state
csiParam state
dcsEntry state
escape state
escapeIntermediate state
error state
ground state
oscString state
stateMap []state
logf func(string, ...interface{})
}
type Option func(*AnsiParser)
func WithLogf(f func(string, ...interface{})) Option {
return func(ap *AnsiParser) {
ap.logf = f
}
}
func CreateParser(initialState string, evtHandler AnsiEventHandler, opts ...Option) *AnsiParser {
ap := &AnsiParser{
eventHandler: evtHandler,
context: &ansiContext{},
}
for _, o := range opts {
o(ap)
}
if isDebugEnv := os.Getenv(LogEnv); isDebugEnv == "1" {
logFile, _ := os.Create("ansiParser.log")
logger := log.New(logFile, "", log.LstdFlags)
if ap.logf != nil {
l := ap.logf
ap.logf = func(s string, v ...interface{}) {
l(s, v...)
logger.Printf(s, v...)
}
} else {
ap.logf = logger.Printf
}
}
if ap.logf == nil {
ap.logf = func(string, ...interface{}) {}
}
ap.csiEntry = csiEntryState{baseState{name: "CsiEntry", parser: ap}}
ap.csiParam = csiParamState{baseState{name: "CsiParam", parser: ap}}
ap.dcsEntry = dcsEntryState{baseState{name: "DcsEntry", parser: ap}}
ap.escape = escapeState{baseState{name: "Escape", parser: ap}}
ap.escapeIntermediate = escapeIntermediateState{baseState{name: "EscapeIntermediate", parser: ap}}
ap.error = errorState{baseState{name: "Error", parser: ap}}
ap.ground = groundState{baseState{name: "Ground", parser: ap}}
ap.oscString = oscStringState{baseState{name: "OscString", parser: ap}}
ap.stateMap = []state{
ap.csiEntry,
ap.csiParam,
ap.dcsEntry,
ap.escape,
ap.escapeIntermediate,
ap.error,
ap.ground,
ap.oscString,
}
ap.currState = getState(initialState, ap.stateMap)
ap.logf("CreateParser: parser %p", ap)
return ap
}
func getState(name string, states []state) state {
for _, el := range states {
if el.Name() == name {
return el
}
}
return nil
}
func (ap *AnsiParser) Parse(bytes []byte) (int, error) {
for i, b := range bytes {
if err := ap.handle(b); err != nil {
return i, err
}
}
return len(bytes), ap.eventHandler.Flush()
}
func (ap *AnsiParser) handle(b byte) error {
ap.context.currentChar = b
newState, err := ap.currState.Handle(b)
if err != nil {
return err
}
if newState == nil {
ap.logf("WARNING: newState is nil")
return errors.New("New state of 'nil' is invalid.")
}
if newState != ap.currState {
if err := ap.changeState(newState); err != nil {
return err
}
}
return nil
}
func (ap *AnsiParser) changeState(newState state) error {
ap.logf("ChangeState %s --> %s", ap.currState.Name(), newState.Name())
// Exit old state
if err := ap.currState.Exit(); err != nil {
ap.logf("Exit state '%s' failed with : '%v'", ap.currState.Name(), err)
return err
}
// Perform transition action
if err := ap.currState.Transition(newState); err != nil {
ap.logf("Transition from '%s' to '%s' failed with: '%v'", ap.currState.Name(), newState.Name, err)
return err
}
// Enter new state
if err := newState.Enter(); err != nil {
ap.logf("Enter state '%s' failed with: '%v'", newState.Name(), err)
return err
}
ap.currState = newState
return nil
}
================================================
FILE: evmcc/vendor/github.com/Azure/go-ansiterm/parser_action_helpers.go
================================================
package ansiterm
import (
"strconv"
)
func parseParams(bytes []byte) ([]string, error) {
paramBuff := make([]byte, 0, 0)
params := []string{}
for _, v := range bytes {
if v == ';' {
if len(paramBuff) > 0 {
// Completed parameter, append it to the list
s := string(paramBuff)
params = append(params, s)
paramBuff = make([]byte, 0, 0)
}
} else {
paramBuff = append(paramBuff, v)
}
}
// Last parameter may not be terminated with ';'
if len(paramBuff) > 0 {
s := string(paramBuff)
params = append(params, s)
}
return params, nil
}
func parseCmd(context ansiContext) (string, error) {
return string(context.currentChar), nil
}
func getInt(params []string, dflt int) int {
i := getInts(params, 1, dflt)[0]
return i
}
func getInts(params []string, minCount int, dflt int) []int {
ints := []int{}
for _, v := range params {
i, _ := strconv.Atoi(v)
// Zero is mapped to the default value in VT100.
if i == 0 {
i = dflt
}
ints = append(ints, i)
}
if len(ints) < minCount {
remaining := minCount - len(ints)
for i := 0; i < remaining; i++ {
ints = append(ints, dflt)
}
}
return ints
}
func (ap *AnsiParser) modeDispatch(param string, set bool) error {
switch param {
case "?3":
return ap.eventHandler.DECCOLM(set)
case "?6":
return ap.eventHandler.DECOM(set)
case "?25":
return ap.eventHandler.DECTCEM(set)
}
return nil
}
func (ap *AnsiParser) hDispatch(params []string) error {
if len(params) == 1 {
return ap.modeDispatch(params[0], true)
}
return nil
}
func (ap *AnsiParser) lDispatch(params []string) error {
if len(params) == 1 {
return ap.modeDispatch(params[0], false)
}
return nil
}
func getEraseParam(params []string) int {
param := getInt(params, 0)
if param < 0 || 3 < param {
param = 0
}
return param
}
================================================
FILE: evmcc/vendor/github.com/Azure/go-ansiterm/parser_actions.go
================================================
package ansiterm
func (ap *AnsiParser) collectParam() error {
currChar := ap.context.currentChar
ap.logf("collectParam %#x", currChar)
ap.context.paramBuffer = append(ap.context.paramBuffer, currChar)
return nil
}
func (ap *AnsiParser) collectInter() error {
currChar := ap.context.currentChar
ap.logf("collectInter %#x", currChar)
ap.context.paramBuffer = append(ap.context.interBuffer, currChar)
return nil
}
func (ap *AnsiParser) escDispatch() error {
cmd, _ := parseCmd(*ap.context)
intermeds := ap.context.interBuffer
ap.logf("escDispatch currentChar: %#x", ap.context.currentChar)
ap.logf("escDispatch: %v(%v)", cmd, intermeds)
switch cmd {
case "D": // IND
return ap.eventHandler.IND()
case "E": // NEL, equivalent to CRLF
err := ap.eventHandler.Execute(ANSI_CARRIAGE_RETURN)
if err == nil {
err = ap.eventHandler.Execute(ANSI_LINE_FEED)
}
return err
case "M": // RI
return ap.eventHandler.RI()
}
return nil
}
func (ap *AnsiParser) csiDispatch() error {
cmd, _ := parseCmd(*ap.context)
params, _ := parseParams(ap.context.paramBuffer)
ap.logf("Parsed params: %v with length: %d", params, len(params))
ap.logf("csiDispatch: %v(%v)", cmd, params)
switch cmd {
case "@":
return ap.eventHandler.ICH(getInt(params, 1))
case "A":
return ap.eventHandler.CUU(getInt(params, 1))
case "B":
return ap.eventHandler.CUD(getInt(params, 1))
case "C":
return ap.eventHandler.CUF(getInt(params, 1))
case "D":
return ap.eventHandler.CUB(getInt(params, 1))
case "E":
return ap.eventHandler.CNL(getInt(params, 1))
case "F":
return ap.eventHandler.CPL(getInt(params, 1))
case "G":
return ap.eventHandler.CHA(getInt(params, 1))
case "H":
ints := getInts(params, 2, 1)
x, y := ints[0], ints[1]
return ap.eventHandler.CUP(x, y)
case "J":
param := getEraseParam(params)
return ap.eventHandler.ED(param)
case "K":
param := getEraseParam(params)
return ap.eventHandler.EL(param)
case "L":
return ap.eventHandler.IL(getInt(params, 1))
case "M":
return ap.eventHandler.DL(getInt(params, 1))
case "P":
return ap.eventHandler.DCH(getInt(params, 1))
case "S":
return ap.eventHandler.SU(getInt(params, 1))
case "T":
return ap.eventHandler.SD(getInt(params, 1))
case "c":
return ap.eventHandler.DA(params)
case "d":
return ap.eventHandler.VPA(getInt(params, 1))
case "f":
ints := getInts(params, 2, 1)
x, y := ints[0], ints[1]
return ap.eventHandler.HVP(x, y)
case "h":
return ap.hDispatch(params)
case "l":
return ap.lDispatch(params)
case "m":
return ap.eventHandler.SGR(getInts(params, 1, 0))
case "r":
ints := getInts(params, 2, 1)
top, bottom := ints[0], ints[1]
return ap.eventHandler.DECSTBM(top, bottom)
default:
ap.logf("ERROR: Unsupported CSI command: '%s', with full context: %v", cmd, ap.context)
return nil
}
}
func (ap *AnsiParser) print() error {
return ap.eventHandler.Print(ap.context.currentChar)
}
func (ap *AnsiParser) clear() error {
ap.context = &ansiContext{}
return nil
}
func (ap *AnsiParser) execute() error {
return ap.eventHandler.Execute(ap.context.currentChar)
}
================================================
FILE: evmcc/vendor/github.com/Azure/go-ansiterm/states.go
================================================
package ansiterm
type stateID int
type state interface {
Enter() error
Exit() error
Handle(byte) (state, error)
Name() string
Transition(state) error
}
type baseState struct {
name string
parser *AnsiParser
}
func (base baseState) Enter() error {
return nil
}
func (base baseState) Exit() error {
return nil
}
func (base baseState) Handle(b byte) (s state, e error) {
switch {
case b == CSI_ENTRY:
return base.parser.csiEntry, nil
case b == DCS_ENTRY:
return base.parser.dcsEntry, nil
case b == ANSI_ESCAPE_PRIMARY:
return base.parser.escape, nil
case b == OSC_STRING:
return base.parser.oscString, nil
case sliceContains(toGroundBytes, b):
return base.parser.ground, nil
}
return nil, nil
}
func (base baseState) Name() string {
return base.name
}
func (base baseState) Transition(s state) error {
if s == base.parser.ground {
execBytes := []byte{0x18}
execBytes = append(execBytes, 0x1A)
execBytes = append(execBytes, getByteRange(0x80, 0x8F)...)
execBytes = append(execBytes, getByteRange(0x91, 0x97)...)
execBytes = append(execBytes, 0x99)
execBytes = append(execBytes, 0x9A)
if sliceContains(execBytes, base.parser.context.currentChar) {
return base.parser.execute()
}
}
return nil
}
type dcsEntryState struct {
baseState
}
type errorState struct {
baseState
}
================================================
FILE: evmcc/vendor/github.com/Azure/go-ansiterm/utilities.go
================================================
package ansiterm
import (
"strconv"
)
func sliceContains(bytes []byte, b byte) bool {
for _, v := range bytes {
if v == b {
return true
}
}
return false
}
func convertBytesToInteger(bytes []byte) int {
s := string(bytes)
i, _ := strconv.Atoi(s)
return i
}
================================================
FILE: evmcc/vendor/github.com/Azure/go-ansiterm/winterm/ansi.go
================================================
// +build windows
package winterm
import (
"fmt"
"os"
"strconv"
"strings"
"syscall"
"github.com/Azure/go-ansiterm"
)
// Windows keyboard constants
// See https://msdn.microsoft.com/en-us/library/windows/desktop/dd375731(v=vs.85).aspx.
const (
VK_PRIOR = 0x21 // PAGE UP key
VK_NEXT = 0x22 // PAGE DOWN key
VK_END = 0x23 // END key
VK_HOME = 0x24 // HOME key
VK_LEFT = 0x25 // LEFT ARROW key
VK_UP = 0x26 // UP ARROW key
VK_RIGHT = 0x27 // RIGHT ARROW key
VK_DOWN = 0x28 // DOWN ARROW key
VK_SELECT = 0x29 // SELECT key
VK_PRINT = 0x2A // PRINT key
VK_EXECUTE = 0x2B // EXECUTE key
VK_SNAPSHOT = 0x2C // PRINT SCREEN key
VK_INSERT = 0x2D // INS key
VK_DELETE = 0x2E // DEL key
VK_HELP = 0x2F // HELP key
VK_F1 = 0x70 // F1 key
VK_F2 = 0x71 // F2 key
VK_F3 = 0x72 // F3 key
VK_F4 = 0x73 // F4 key
VK_F5 = 0x74 // F5 key
VK_F6 = 0x75 // F6 key
VK_F7 = 0x76 // F7 key
VK_F8 = 0x77 // F8 key
VK_F9 = 0x78 // F9 key
VK_F10 = 0x79 // F10 key
VK_F11 = 0x7A // F11 key
VK_F12 = 0x7B // F12 key
RIGHT_ALT_PRESSED = 0x0001
LEFT_ALT_PRESSED = 0x0002
RIGHT_CTRL_PRESSED = 0x0004
LEFT_CTRL_PRESSED = 0x0008
SHIFT_PRESSED = 0x0010
NUMLOCK_ON = 0x0020
SCROLLLOCK_ON = 0x0040
CAPSLOCK_ON = 0x0080
ENHANCED_KEY = 0x0100
)
type ansiCommand struct {
CommandBytes []byte
Command string
Parameters []string
IsSpecial bool
}
func newAnsiCommand(command []byte) *ansiCommand {
if isCharacterSelectionCmdChar(command[1]) {
// Is Character Set Selection commands
return &ansiCommand{
CommandBytes: command,
Command: string(command),
IsSpecial: true,
}
}
// last char is command character
lastCharIndex := len(command) - 1
ac := &ansiCommand{
CommandBytes: command,
Command: string(command[lastCharIndex]),
IsSpecial: false,
}
// more than a single escape
if lastCharIndex != 0 {
start := 1
// skip if double char escape sequence
if command[0] == ansiterm.ANSI_ESCAPE_PRIMARY && command[1] == ansiterm.ANSI_ESCAPE_SECONDARY {
start++
}
// convert this to GetNextParam method
ac.Parameters = strings.Split(string(command[start:lastCharIndex]), ansiterm.ANSI_PARAMETER_SEP)
}
return ac
}
func (ac *ansiCommand) paramAsSHORT(index int, defaultValue int16) int16 {
if index < 0 || index >= len(ac.Parameters) {
return defaultValue
}
param, err := strconv.ParseInt(ac.Parameters[index], 10, 16)
if err != nil {
return defaultValue
}
return int16(param)
}
func (ac *ansiCommand) String() string {
return fmt.Sprintf("0x%v \"%v\" (\"%v\")",
bytesToHex(ac.CommandBytes),
ac.Command,
strings.Join(ac.Parameters, "\",\""))
}
// isAnsiCommandChar returns true if the passed byte falls within the range of ANSI commands.
// See http://manpages.ubuntu.com/manpages/intrepid/man4/console_codes.4.html.
func isAnsiCommandChar(b byte) bool {
switch {
case ansiterm.ANSI_COMMAND_FIRST <= b && b <= ansiterm.ANSI_COMMAND_LAST && b != ansiterm.ANSI_ESCAPE_SECONDARY:
return true
case b == ansiterm.ANSI_CMD_G1 || b == ansiterm.ANSI_CMD_OSC || b == ansiterm.ANSI_CMD_DECPAM || b == ansiterm.ANSI_CMD_DECPNM:
// non-CSI escape sequence terminator
return true
case b == ansiterm.ANSI_CMD_STR_TERM || b == ansiterm.ANSI_BEL:
// String escape sequence terminator
return true
}
return false
}
func isXtermOscSequence(command []byte, current byte) bool {
return (len(command) >= 2 && command[0] == ansiterm.ANSI_ESCAPE_PRIMARY && command[1] == ansiterm.ANSI_CMD_OSC && current != ansiterm.ANSI_BEL)
}
func isCharacterSelectionCmdChar(b byte) bool {
return (b == ansiterm.ANSI_CMD_G0 || b == ansiterm.ANSI_CMD_G1 || b == ansiterm.ANSI_CMD_G2 || b == ansiterm.ANSI_CMD_G3)
}
// bytesToHex converts a slice of bytes to a human-readable string.
func bytesToHex(b []byte) string {
hex := make([]string, len(b))
for i, ch := range b {
hex[i] = fmt.Sprintf("%X", ch)
}
return strings.Join(hex, "")
}
// ensureInRange adjusts the passed value, if necessary, to ensure it is within
// the passed min / max range.
func ensureInRange(n int16, min int16, max int16) int16 {
if n < min {
return min
} else if n > max {
return max
} else {
return n
}
}
func GetStdFile(nFile int) (*os.File, uintptr) {
var file *os.File
switch nFile {
case syscall.STD_INPUT_HANDLE:
file = os.Stdin
case syscall.STD_OUTPUT_HANDLE:
file = os.Stdout
case syscall.STD_ERROR_HANDLE:
file = os.Stderr
default:
panic(fmt.Errorf("Invalid standard handle identifier: %v", nFile))
}
fd, err := syscall.GetStdHandle(nFile)
if err != nil {
panic(fmt.Errorf("Invalid standard handle identifier: %v -- %v", nFile, err))
}
return file, uintptr(fd)
}
================================================
FILE: evmcc/vendor/github.com/Azure/go-ansiterm/winterm/api.go
================================================
// +build windows
package winterm
import (
"fmt"
"syscall"
"unsafe"
)
//===========================================================================================================
// IMPORTANT NOTE:
//
// The methods below make extensive use of the "unsafe" package to obtain the required pointers.
// Beginning in Go 1.3, the garbage collector may release local variables (e.g., incoming arguments, stack
// variables) the pointers reference *before* the API completes.
//
// As a result, in those cases, the code must hint that the variables remain in active by invoking the
// dummy method "use" (see below). Newer versions of Go are planned to change the mechanism to no longer
// require unsafe pointers.
//
// If you add or modify methods, ENSURE protection of local variables through the "use" builtin to inform
// the garbage collector the variables remain in use if:
//
// -- The value is not a pointer (e.g., int32, struct)
// -- The value is not referenced by the method after passing the pointer to Windows
//
// See http://golang.org/doc/go1.3.
//===========================================================================================================
var (
kernel32DLL = syscall.NewLazyDLL("kernel32.dll")
getConsoleCursorInfoProc = kernel32DLL.NewProc("GetConsoleCursorInfo")
setConsoleCursorInfoProc = kernel32DLL.NewProc("SetConsoleCursorInfo")
setConsoleCursorPositionProc = kernel32DLL.NewProc("SetConsoleCursorPosition")
setConsoleModeProc = kernel32DLL.NewProc("SetConsoleMode")
getConsoleScreenBufferInfoProc = kernel32DLL.NewProc("GetConsoleScreenBufferInfo")
setConsoleScreenBufferSizeProc = kernel32DLL.NewProc("SetConsoleScreenBufferSize")
scrollConsoleScreenBufferProc = kernel32DLL.NewProc("ScrollConsoleScreenBufferA")
setConsoleTextAttributeProc = kernel32DLL.NewProc("SetConsoleTextAttribute")
setConsoleWindowInfoProc = kernel32DLL.NewProc("SetConsoleWindowInfo")
writeConsoleOutputProc = kernel32DLL.NewProc("WriteConsoleOutputW")
readConsoleInputProc = kernel32DLL.NewProc("ReadConsoleInputW")
waitForSingleObjectProc = kernel32DLL.NewProc("WaitForSingleObject")
)
// Windows Console constants
const (
// Console modes
// See https://msdn.microsoft.com/en-us/library/windows/desktop/ms686033(v=vs.85).aspx.
ENABLE_PROCESSED_INPUT = 0x0001
ENABLE_LINE_INPUT = 0x0002
ENABLE_ECHO_INPUT = 0x0004
ENABLE_WINDOW_INPUT = 0x0008
ENABLE_MOUSE_INPUT = 0x0010
ENABLE_INSERT_MODE = 0x0020
ENABLE_QUICK_EDIT_MODE = 0x0040
ENABLE_EXTENDED_FLAGS = 0x0080
ENABLE_AUTO_POSITION = 0x0100
ENABLE_VIRTUAL_TERMINAL_INPUT = 0x0200
ENABLE_PROCESSED_OUTPUT = 0x0001
ENABLE_WRAP_AT_EOL_OUTPUT = 0x0002
ENABLE_VIRTUAL_TERMINAL_PROCESSING = 0x0004
DISABLE_NEWLINE_AUTO_RETURN = 0x0008
ENABLE_LVB_GRID_WORLDWIDE = 0x0010
// Character attributes
// Note:
// -- The attributes are combined to produce various colors (e.g., Blue + Green will create Cyan).
// Clearing all foreground or background colors results in black; setting all creates white.
// See https://msdn.microsoft.com/en-us/library/windows/desktop/ms682088(v=vs.85).aspx#_win32_character_attributes.
FOREGROUND_BLUE uint16 = 0x0001
FOREGROUND_GREEN uint16 = 0x0002
FOREGROUND_RED uint16 = 0x0004
FOREGROUND_INTENSITY uint16 = 0x0008
FOREGROUND_MASK uint16 = 0x000F
BACKGROUND_BLUE uint16 = 0x0010
BACKGROUND_GREEN uint16 = 0x0020
BACKGROUND_RED uint16 = 0x0040
BACKGROUND_INTENSITY uint16 = 0x0080
BACKGROUND_MASK uint16 = 0x00F0
COMMON_LVB_MASK uint16 = 0xFF00
COMMON_LVB_REVERSE_VIDEO uint16 = 0x4000
COMMON_LVB_UNDERSCORE uint16 = 0x8000
// Input event types
// See https://msdn.microsoft.com/en-us/library/windows/desktop/ms683499(v=vs.85).aspx.
KEY_EVENT = 0x0001
MOUSE_EVENT = 0x0002
WINDOW_BUFFER_SIZE_EVENT = 0x0004
MENU_EVENT = 0x0008
FOCUS_EVENT = 0x0010
// WaitForSingleObject return codes
WAIT_ABANDONED = 0x00000080
WAIT_FAILED = 0xFFFFFFFF
WAIT_SIGNALED = 0x0000000
WAIT_TIMEOUT = 0x00000102
// WaitForSingleObject wait duration
WAIT_INFINITE = 0xFFFFFFFF
WAIT_ONE_SECOND = 1000
WAIT_HALF_SECOND = 500
WAIT_QUARTER_SECOND = 250
)
// Windows API Console types
// -- See https://msdn.microsoft.com/en-us/library/windows/desktop/ms682101(v=vs.85).aspx for Console specific types (e.g., COORD)
// -- See https://msdn.microsoft.com/en-us/library/aa296569(v=vs.60).aspx for comments on alignment
type (
CHAR_INFO struct {
UnicodeChar uint16
Attributes uint16
}
CONSOLE_CURSOR_INFO struct {
Size uint32
Visible int32
}
CONSOLE_SCREEN_BUFFER_INFO struct {
Size COORD
CursorPosition COORD
Attributes uint16
Window SMALL_RECT
MaximumWindowSize COORD
}
COORD struct {
X int16
Y int16
}
SMALL_RECT struct {
Left int16
Top int16
Right int16
Bottom int16
}
// INPUT_RECORD is a C/C++ union of which KEY_EVENT_RECORD is one case, it is also the largest
// See https://msdn.microsoft.com/en-us/library/windows/desktop/ms683499(v=vs.85).aspx.
INPUT_RECORD struct {
EventType uint16
KeyEvent KEY_EVENT_RECORD
}
KEY_EVENT_RECORD struct {
KeyDown int32
RepeatCount uint16
VirtualKeyCode uint16
VirtualScanCode uint16
UnicodeChar uint16
ControlKeyState uint32
}
WINDOW_BUFFER_SIZE struct {
Size COORD
}
)
// boolToBOOL converts a Go bool into a Windows int32.
func boolToBOOL(f bool) int32 {
if f {
return int32(1)
} else {
return int32(0)
}
}
// GetConsoleCursorInfo retrieves information about the size and visiblity of the console cursor.
// See https://msdn.microsoft.com/en-us/library/windows/desktop/ms683163(v=vs.85).aspx.
func GetConsoleCursorInfo(handle uintptr, cursorInfo *CONSOLE_CURSOR_INFO) error {
r1, r2, err := getConsoleCursorInfoProc.Call(handle, uintptr(unsafe.Pointer(cursorInfo)), 0)
return checkError(r1, r2, err)
}
// SetConsoleCursorInfo sets the size and visiblity of the console cursor.
// See https://msdn.microsoft.com/en-us/library/windows/desktop/ms686019(v=vs.85).aspx.
func SetConsoleCursorInfo(handle uintptr, cursorInfo *CONSOLE_CURSOR_INFO) error {
r1, r2, err := setConsoleCursorInfoProc.Call(handle, uintptr(unsafe.Pointer(cursorInfo)), 0)
return checkError(r1, r2, err)
}
// SetConsoleCursorPosition location of the console cursor.
// See https://msdn.microsoft.com/en-us/library/windows/desktop/ms686025(v=vs.85).aspx.
func SetConsoleCursorPosition(handle uintptr, coord COORD) error {
r1, r2, err := setConsoleCursorPositionProc.Call(handle, coordToPointer(coord))
use(coord)
return checkError(r1, r2, err)
}
// GetConsoleMode gets the console mode for given file descriptor
// See http://msdn.microsoft.com/en-us/library/windows/desktop/ms683167(v=vs.85).aspx.
func GetConsoleMode(handle uintptr) (mode uint32, err error) {
err = syscall.GetConsoleMode(syscall.Handle(handle), &mode)
return mode, err
}
// SetConsoleMode sets the console mode for given file descriptor
// See http://msdn.microsoft.com/en-us/library/windows/desktop/ms686033(v=vs.85).aspx.
func SetConsoleMode(handle uintptr, mode uint32) error {
r1, r2, err := setConsoleModeProc.Call(handle, uintptr(mode), 0)
use(mode)
return checkError(r1, r2, err)
}
// GetConsoleScreenBufferInfo retrieves information about the specified console screen buffer.
// See http://msdn.microsoft.com/en-us/library/windows/desktop/ms683171(v=vs.85).aspx.
func GetConsoleScreenBufferInfo(handle uintptr) (*CONSOLE_SCREEN_BUFFER_INFO, error) {
info := CONSOLE_SCREEN_BUFFER_INFO{}
err := checkError(getConsoleScreenBufferInfoProc.Call(handle, uintptr(unsafe.Pointer(&info)), 0))
if err != nil {
return nil, err
}
return &info, nil
}
func ScrollConsoleScreenBuffer(handle uintptr, scrollRect SMALL_RECT, clipRect SMALL_RECT, destOrigin COORD, char CHAR_INFO) error {
r1, r2, err := scrollConsoleScreenBufferProc.Call(handle, uintptr(unsafe.Pointer(&scrollRect)), uintptr(unsafe.Pointer(&clipRect)), coordToPointer(destOrigin), uintptr(unsafe.Pointer(&char)))
use(scrollRect)
use(clipRect)
use(destOrigin)
use(char)
return checkError(r1, r2, err)
}
// SetConsoleScreenBufferSize sets the size of the console screen buffer.
// See https://msdn.microsoft.com/en-us/library/windows/desktop/ms686044(v=vs.85).aspx.
func SetConsoleScreenBufferSize(handle uintptr, coord COORD) error {
r1, r2, err := setConsoleScreenBufferSizeProc.Call(handle, coordToPointer(coord))
use(coord)
return checkError(r1, r2, err)
}
// SetConsoleTextAttribute sets the attributes of characters written to the
// console screen buffer by the WriteFile or WriteConsole function.
// See http://msdn.microsoft.com/en-us/library/windows/desktop/ms686047(v=vs.85).aspx.
func SetConsoleTextAttribute(handle uintptr, attribute uint16) error {
r1, r2, err := setConsoleTextAttributeProc.Call(handle, uintptr(attribute), 0)
use(attribute)
return checkError(r1, r2, err)
}
// SetConsoleWindowInfo sets the size and position of the console screen buffer's window.
// Note that the size and location must be within and no larger than the backing console screen buffer.
// See https://msdn.microsoft.com/en-us/library/windows/desktop/ms686125(v=vs.85).aspx.
func SetConsoleWindowInfo(handle uintptr, isAbsolute bool, rect SMALL_RECT) error {
r1, r2, err := setConsoleWindowInfoProc.Call(handle, uintptr(boolToBOOL(isAbsolute)), uintptr(unsafe.Pointer(&rect)))
use(isAbsolute)
use(rect)
return checkError(r1, r2, err)
}
// WriteConsoleOutput writes the CHAR_INFOs from the provided buffer to the active console buffer.
// See https://msdn.microsoft.com/en-us/library/windows/desktop/ms687404(v=vs.85).aspx.
func WriteConsoleOutput(handle uintptr, buffer []CHAR_INFO, bufferSize COORD, bufferCoord COORD, writeRegion *SMALL_RECT) error {
r1, r2, err := writeConsoleOutputProc.Call(handle, uintptr(unsafe.Pointer(&buffer[0])), coordToPointer(bufferSize), coordToPointer(bufferCoord), uintptr(unsafe.Pointer(writeRegion)))
use(buffer)
use(bufferSize)
use(bufferCoord)
return checkError(r1, r2, err)
}
// ReadConsoleInput reads (and removes) data from the console input buffer.
// See https://msdn.microsoft.com/en-us/library/windows/desktop/ms684961(v=vs.85).aspx.
func ReadConsoleInput(handle uintptr, buffer []INPUT_RECORD, count *uint32) error {
r1, r2, err := readConsoleInputProc.Call(handle, uintptr(unsafe.Pointer(&buffer[0])), uintptr(len(buffer)), uintptr(unsafe.Pointer(count)))
use(buffer)
return checkError(r1, r2, err)
}
// WaitForSingleObject waits for the passed handle to be signaled.
// It returns true if the handle was signaled; false otherwise.
// See https://msdn.microsoft.com/en-us/library/windows/desktop/ms687032(v=vs.85).aspx.
func WaitForSingleObject(handle uintptr, msWait uint32) (bool, error) {
r1, _, err := waitForSingleObjectProc.Call(handle, uintptr(uint32(msWait)))
switch r1 {
case WAIT_ABANDONED, WAIT_TIMEOUT:
return false, nil
case WAIT_SIGNALED:
return true, nil
}
use(msWait)
return false, err
}
// String helpers
func (info CONSOLE_SCREEN_BUFFER_INFO) String() string {
return fmt.Sprintf("Size(%v) Cursor(%v) Window(%v) Max(%v)", info.Size, info.CursorPosition, info.Window, info.MaximumWindowSize)
}
func (coord COORD) String() string {
return fmt.Sprintf("%v,%v", coord.X, coord.Y)
}
func (rect SMALL_RECT) String() string {
return fmt.Sprintf("(%v,%v),(%v,%v)", rect.Left, rect.Top, rect.Right, rect.Bottom)
}
// checkError evaluates the results of a Windows API call and returns the error if it failed.
func checkError(r1, r2 uintptr, err error) error {
// Windows APIs return non-zero to indicate success
if r1 != 0 {
return nil
}
// Return the error if provided, otherwise default to EINVAL
if err != nil {
return err
}
return syscall.EINVAL
}
// coordToPointer converts a COORD into a uintptr (by fooling the type system).
func coordToPointer(c COORD) uintptr {
// Note: This code assumes the two SHORTs are correctly laid out; the "cast" to uint32 is just to get a pointer to pass.
return uintptr(*((*uint32)(unsafe.Pointer(&c))))
}
// use is a no-op, but the compiler cannot see that it is.
// Calling use(p) ensures that p is kept live until that point.
func use(p interface{}) {}
================================================
FILE: evmcc/vendor/github.com/Azure/go-ansiterm/winterm/attr_translation.go
================================================
// +build windows
package winterm
import "github.com/Azure/go-ansiterm"
const (
FOREGROUND_COLOR_MASK = FOREGROUND_RED | FOREGROUND_GREEN | FOREGROUND_BLUE
BACKGROUND_COLOR_MASK = BACKGROUND_RED | BACKGROUND_GREEN | BACKGROUND_BLUE
)
// collectAnsiIntoWindowsAttributes modifies the passed Windows text mode flags to reflect the
// request represented by the passed ANSI mode.
func collectAnsiIntoWindowsAttributes(windowsMode uint16, inverted bool, baseMode uint16, ansiMode int16) (uint16, bool) {
switch ansiMode {
// Mode styles
case ansiterm.ANSI_SGR_BOLD:
windowsMode = windowsMode | FOREGROUND_INTENSITY
case ansiterm.ANSI_SGR_DIM, ansiterm.ANSI_SGR_BOLD_DIM_OFF:
windowsMode &^= FOREGROUND_INTENSITY
case ansiterm.ANSI_SGR_UNDERLINE:
windowsMode = windowsMode | COMMON_LVB_UNDERSCORE
case ansiterm.ANSI_SGR_REVERSE:
inverted = true
case ansiterm.ANSI_SGR_REVERSE_OFF:
inverted = false
case ansiterm.ANSI_SGR_UNDERLINE_OFF:
windowsMode &^= COMMON_LVB_UNDERSCORE
// Foreground colors
case ansiterm.ANSI_SGR_FOREGROUND_DEFAULT:
windowsMode = (windowsMode &^ FOREGROUND_MASK) | (baseMode & FOREGROUND_MASK)
case ansiterm.ANSI_SGR_FOREGROUND_BLACK:
windowsMode = (windowsMode &^ FOREGROUND_COLOR_MASK)
case ansiterm.ANSI_SGR_FOREGROUND_RED:
windowsMode = (windowsMode &^ FOREGROUND_COLOR_MASK) | FOREGROUND_RED
case ansiterm.ANSI_SGR_FOREGROUND_GREEN:
windowsMode = (windowsMode &^ FOREGROUND_COLOR_MASK) | FOREGROUND_GREEN
case ansiterm.ANSI_SGR_FOREGROUND_YELLOW:
windowsMode = (windowsMode &^ FOREGROUND_COLOR_MASK) | FOREGROUND_RED | FOREGROUND_GREEN
case ansiterm.ANSI_SGR_FOREGROUND_BLUE:
windowsMode = (windowsMode &^ FOREGROUND_COLOR_MASK) | FOREGROUND_BLUE
case ansiterm.ANSI_SGR_FOREGROUND_MAGENTA:
windowsMode = (windowsMode &^ FOREGROUND_COLOR_MASK) | FOREGROUND_RED | FOREGROUND_BLUE
case ansiterm.ANSI_SGR_FOREGROUND_CYAN:
windowsMode = (windowsMode &^ FOREGROUND_COLOR_MASK) | FOREGROUND_GREEN | FOREGROUND_BLUE
case ansiterm.ANSI_SGR_FOREGROUND_WHITE:
windowsMode = (windowsMode &^ FOREGROUND_COLOR_MASK) | FOREGROUND_RED | FOREGROUND_GREEN | FOREGROUND_BLUE
// Background colors
case ansiterm.ANSI_SGR_BACKGROUND_DEFAULT:
// Black with no intensity
windowsMode = (windowsMode &^ BACKGROUND_MASK) | (baseMode & BACKGROUND_MASK)
case ansiterm.ANSI_SGR_BACKGROUND_BLACK:
windowsMode = (windowsMode &^ BACKGROUND_COLOR_MASK)
case ansiterm.ANSI_SGR_BACKGROUND_RED:
windowsMode = (windowsMode &^ BACKGROUND_COLOR_MASK) | BACKGROUND_RED
case ansiterm.ANSI_SGR_BACKGROUND_GREEN:
windowsMode = (windowsMode &^ BACKGROUND_COLOR_MASK) | BACKGROUND_GREEN
case ansiterm.ANSI_SGR_BACKGROUND_YELLOW:
windowsMode = (windowsMode &^ BACKGROUND_COLOR_MASK) | BACKGROUND_RED | BACKGROUND_GREEN
case ansiterm.ANSI_SGR_BACKGROUND_BLUE:
windowsMode = (windowsMode &^ BACKGROUND_COLOR_MASK) | BACKGROUND_BLUE
case ansiterm.ANSI_SGR_BACKGROUND_MAGENTA:
windowsMode = (windowsMode &^ BACKGROUND_COLOR_MASK) | BACKGROUND_RED | BACKGROUND_BLUE
case ansiterm.ANSI_SGR_BACKGROUND_CYAN:
windowsMode = (windowsMode &^ BACKGROUND_COLOR_MASK) | BACKGROUND_GREEN | BACKGROUND_BLUE
case ansiterm.ANSI_SGR_BACKGROUND_WHITE:
windowsMode = (windowsMode &^ BACKGROUND_COLOR_MASK) | BACKGROUND_RED | BACKGROUND_GREEN | BACKGROUND_BLUE
}
return windowsMode, inverted
}
// invertAttributes inverts the foreground and background colors of a Windows attributes value
func invertAttributes(windowsMode uint16) uint16 {
return (COMMON_LVB_MASK & windowsMode) | ((FOREGROUND_MASK & windowsMode) << 4) | ((BACKGROUND_MASK & windowsMode) >> 4)
}
================================================
FILE: evmcc/vendor/github.com/Azure/go-ansiterm/winterm/cursor_helpers.go
================================================
// +build windows
package winterm
const (
horizontal = iota
vertical
)
func (h *windowsAnsiEventHandler) getCursorWindow(info *CONSOLE_SCREEN_BUFFER_INFO) SMALL_RECT {
if h.originMode {
sr := h.effectiveSr(info.Window)
return SMALL_RECT{
Top: sr.top,
Bottom: sr.bottom,
Left: 0,
Right: info.Size.X - 1,
}
} else {
return SMALL_RECT{
Top: info.Window.Top,
Bottom: info.Window.Bottom,
Left: 0,
Right: info.Size.X - 1,
}
}
}
// setCursorPosition sets the cursor to the specified position, bounded to the screen size
func (h *windowsAnsiEventHandler) setCursorPosition(position COORD, window SMALL_RECT) error {
position.X = ensureInRange(position.X, window.Left, window.Right)
position.Y = ensureInRange(position.Y, window.Top, window.Bottom)
err := SetConsoleCursorPosition(h.fd, position)
if err != nil {
return err
}
h.logf("Cursor position set: (%d, %d)", position.X, position.Y)
return err
}
func (h *windowsAnsiEventHandler) moveCursorVertical(param int) error {
return h.moveCursor(vertical, param)
}
func (h *windowsAnsiEventHandler) moveCursorHorizontal(param int) error {
return h.moveCursor(horizontal, param)
}
func (h *windowsAnsiEventHandler) moveCursor(moveMode int, param int) error {
info, err := GetConsoleScreenBufferInfo(h.fd)
if err != nil {
return err
}
position := info.CursorPosition
switch moveMode {
case horizontal:
position.X += int16(param)
case vertical:
position.Y += int16(param)
}
if err = h.setCursorPosition(position, h.getCursorWindow(info)); err != nil {
return err
}
return nil
}
func (h *windowsAnsiEventHandler) moveCursorLine(param int) error {
info, err := GetConsoleScreenBufferInfo(h.fd)
if err != nil {
return err
}
position := info.CursorPosition
position.X = 0
position.Y += int16(param)
if err = h.setCursorPosition(position, h.getCursorWindow(info)); err != nil {
return err
}
return nil
}
func (h *windowsAnsiEventHandler) moveCursorColumn(param int) error {
info, err := GetConsoleScreenBufferInfo(h.fd)
if err != nil {
return err
}
position := info.CursorPosition
position.X = int16(param) - 1
if err = h.setCursorPosition(position, h.getCursorWindow(info)); err != nil {
return err
}
return nil
}
================================================
FILE: evmcc/vendor/github.com/Azure/go-ansiterm/winterm/erase_helpers.go
================================================
// +build windows
package winterm
import "github.com/Azure/go-ansiterm"
func (h *windowsAnsiEventHandler) clearRange(attributes uint16, fromCoord COORD, toCoord COORD) error {
// Ignore an invalid (negative area) request
if toCoord.Y < fromCoord.Y {
return nil
}
var err error
var coordStart = COORD{}
var coordEnd = COORD{}
xCurrent, yCurrent := fromCoord.X, fromCoord.Y
xEnd, yEnd := toCoord.X, toCoord.Y
// Clear any partial initial line
if xCurrent > 0 {
coordStart.X, coordStart.Y = xCurrent, yCurrent
coordEnd.X, coordEnd.Y = xEnd, yCurrent
err = h.clearRect(attributes, coordStart, coordEnd)
if err != nil {
return err
}
xCurrent = 0
yCurrent += 1
}
// Clear intervening rectangular section
if yCurrent < yEnd {
coordStart.X, coordStart.Y = xCurrent, yCurrent
coordEnd.X, coordEnd.Y = xEnd, yEnd-1
err = h.clearRect(attributes, coordStart, coordEnd)
if err != nil {
return err
}
xCurrent = 0
yCurrent = yEnd
}
// Clear remaining partial ending line
coordStart.X, coordStart.Y = xCurrent, yCurrent
coordEnd.X, coordEnd.Y = xEnd, yEnd
err = h.clearRect(attributes, coordStart, coordEnd)
if err != nil {
return err
}
return nil
}
func (h *windowsAnsiEventHandler) clearRect(attributes uint16, fromCoord COORD, toCoord COORD) error {
region := SMALL_RECT{Top: fromCoord.Y, Left: fromCoord.X, Bottom: toCoord.Y, Right: toCoord.X}
width := toCoord.X - fromCoord.X + 1
height := toCoord.Y - fromCoord.Y + 1
size := uint32(width) * uint32(height)
if size <= 0 {
return nil
}
buffer := make([]CHAR_INFO, size)
char := CHAR_INFO{ansiterm.FILL_CHARACTER, attributes}
for i := 0; i < int(size); i++ {
buffer[i] = char
}
err := WriteConsoleOutput(h.fd, buffer, COORD{X: width, Y: height}, COORD{X: 0, Y: 0}, ®ion)
if err != nil {
return err
}
return nil
}
================================================
FILE: evmcc/vendor/github.com/Azure/go-ansiterm/winterm/scroll_helper.go
================================================
// +build windows
package winterm
// effectiveSr gets the current effective scroll region in buffer coordinates
func (h *windowsAnsiEventHandler) effectiveSr(window SMALL_RECT) scrollRegion {
top := addInRange(window.Top, h.sr.top, window.Top, window.Bottom)
bottom := addInRange(window.Top, h.sr.bottom, window.Top, window.Bottom)
if top >= bottom {
top = window.Top
bottom = window.Bottom
}
return scrollRegion{top: top, bottom: bottom}
}
func (h *windowsAnsiEventHandler) scrollUp(param int) error {
info, err := GetConsoleScreenBufferInfo(h.fd)
if err != nil {
return err
}
sr := h.effectiveSr(info.Window)
return h.scroll(param, sr, info)
}
func (h *windowsAnsiEventHandler) scrollDown(param int) error {
return h.scrollUp(-param)
}
func (h *windowsAnsiEventHandler) deleteLines(param int) error {
info, err := GetConsoleScreenBufferInfo(h.fd)
if err != nil {
return err
}
start := info.CursorPosition.Y
sr := h.effectiveSr(info.Window)
// Lines cannot be inserted or deleted outside the scrolling region.
if start >= sr.top && start <= sr.bottom {
sr.top = start
return h.scroll(param, sr, info)
} else {
return nil
}
}
func (h *windowsAnsiEventHandler) insertLines(param int) error {
return h.deleteLines(-param)
}
// scroll scrolls the provided scroll region by param lines. The scroll region is in buffer coordinates.
func (h *windowsAnsiEventHandler) scroll(param int, sr scrollRegion, info *CONSOLE_SCREEN_BUFFER_INFO) error {
h.logf("scroll: scrollTop: %d, scrollBottom: %d", sr.top, sr.bottom)
h.logf("scroll: windowTop: %d, windowBottom: %d", info.Window.Top, info.Window.Bottom)
// Copy from and clip to the scroll region (full buffer width)
scrollRect := SMALL_RECT{
Top: sr.top,
Bottom: sr.bottom,
Left: 0,
Right: info.Size.X - 1,
}
// Origin to which area should be copied
destOrigin := COORD{
X: 0,
Y: sr.top - int16(param),
}
char := CHAR_INFO{
UnicodeChar: ' ',
Attributes: h.attributes,
}
if err := ScrollConsoleScreenBuffer(h.fd, scrollRect, scrollRect, destOrigin, char); err != nil {
return err
}
return nil
}
func (h *windowsAnsiEventHandler) deleteCharacters(param int) error {
info, err := GetConsoleScreenBufferInfo(h.fd)
if err != nil {
return err
}
return h.scrollLine(param, info.CursorPosition, info)
}
func (h *windowsAnsiEventHandler) insertCharacters(param int) error {
return h.deleteCharacters(-param)
}
// scrollLine scrolls a line horizontally starting at the provided position by a number of columns.
func (h *windowsAnsiEventHandler) scrollLine(columns int, position COORD, info *CONSOLE_SCREEN_BUFFER_INFO) error {
// Copy from and clip to the scroll region (full buffer width)
scrollRect := SMALL_RECT{
Top: position.Y,
Bottom: position.Y,
Left: position.X,
Right: info.Size.X - 1,
}
// Origin to which area should be copied
destOrigin := COORD{
X: position.X - int16(columns),
Y: position.Y,
}
char := CHAR_INFO{
UnicodeChar: ' ',
Attributes: h.attributes,
}
if err := ScrollConsoleScreenBuffer(h.fd, scrollRect, scrollRect, destOrigin, char); err != nil {
return err
}
return nil
}
================================================
FILE: evmcc/vendor/github.com/Azure/go-ansiterm/winterm/utilities.go
================================================
// +build windows
package winterm
// AddInRange increments a value by the passed quantity while ensuring the values
// always remain within the supplied min / max range.
func addInRange(n int16, increment int16, min int16, max int16) int16 {
return ensureInRange(n+increment, min, max)
}
================================================
FILE: evmcc/vendor/github.com/Azure/go-ansiterm/winterm/win_event_handler.go
================================================
// +build windows
package winterm
import (
"bytes"
"log"
"os"
"strconv"
"github.com/Azure/go-ansiterm"
)
type windowsAnsiEventHandler struct {
fd uintptr
file *os.File
infoReset *CONSOLE_SCREEN_BUFFER_INFO
sr scrollRegion
buffer bytes.Buffer
attributes uint16
inverted bool
wrapNext bool
drewMarginByte bool
originMode bool
marginByte byte
curInfo *CONSOLE_SCREEN_BUFFER_INFO
curPos COORD
logf func(string, ...interface{})
}
type Option func(*windowsAnsiEventHandler)
func WithLogf(f func(string, ...interface{})) Option {
return func(w *windowsAnsiEventHandler) {
w.logf = f
}
}
func CreateWinEventHandler(fd uintptr, file *os.File, opts ...Option) ansiterm.AnsiEventHandler {
infoReset, err := GetConsoleScreenBufferInfo(fd)
if err != nil {
return nil
}
h := &windowsAnsiEventHandler{
fd: fd,
file: file,
infoReset: infoReset,
attributes: infoReset.Attributes,
}
for _, o := range opts {
o(h)
}
if isDebugEnv := os.Getenv(ansiterm.LogEnv); isDebugEnv == "1" {
logFile, _ := os.Create("winEventHandler.log")
logger := log.New(logFile, "", log.LstdFlags)
if h.logf != nil {
l := h.logf
h.logf = func(s string, v ...interface{}) {
l(s, v...)
logger.Printf(s, v...)
}
} else {
h.logf = logger.Printf
}
}
if h.logf == nil {
h.logf = func(string, ...interface{}) {}
}
return h
}
type scrollRegion struct {
top int16
bottom int16
}
// simulateLF simulates a LF or CR+LF by scrolling if necessary to handle the
// current cursor position and scroll region settings, in which case it returns
// true. If no special handling is necessary, then it does nothing and returns
// false.
//
// In the false case, the caller should ensure that a carriage return
// and line feed are inserted or that the text is otherwise wrapped.
func (h *windowsAnsiEventHandler) simulateLF(includeCR bool) (bool, error) {
if h.wrapNext {
if err := h.Flush(); err != nil {
return false, err
}
h.clearWrap()
}
pos, info, err := h.getCurrentInfo()
if err != nil {
return false, err
}
sr := h.effectiveSr(info.Window)
if pos.Y == sr.bottom {
// Scrolling is necessary. Let Windows automatically scroll if the scrolling region
// is the full window.
if sr.top == info.Window.Top && sr.bottom == info.Window.Bottom {
if includeCR {
pos.X = 0
h.updatePos(pos)
}
return false, nil
}
// A custom scroll region is active. Scroll the window manually to simulate
// the LF.
if err := h.Flush(); err != nil {
return false, err
}
h.logf("Simulating LF inside scroll region")
if err := h.scrollUp(1); err != nil {
return false, err
}
if includeCR {
pos.X = 0
if err := SetConsoleCursorPosition(h.fd, pos); err != nil {
return false, err
}
}
return true, nil
} else if pos.Y < info.Window.Bottom {
// Let Windows handle the LF.
pos.Y++
if includeCR {
pos.X = 0
}
h.updatePos(pos)
return false, nil
} else {
// The cursor is at the bottom of the screen but outside the scroll
// region. Skip the LF.
h.logf("Simulating LF outside scroll region")
if includeCR {
if err := h.Flush(); err != nil {
return false, err
}
pos.X = 0
if err := SetConsoleCursorPosition(h.fd, pos); err != nil {
return false, err
}
}
return true, nil
}
}
// executeLF executes a LF without a CR.
func (h *windowsAnsiEventHandler) executeLF() error {
handled, err := h.simulateLF(false)
if err != nil {
return err
}
if !handled {
// Windows LF will reset the cursor column position. Write the LF
// and restore the cursor position.
pos, _, err := h.getCurrentInfo()
if err != nil {
return err
}
h.buffer.WriteByte(ansiterm.ANSI_LINE_FEED)
if pos.X != 0 {
if err := h.Flush(); err != nil {
return err
}
h.logf("Resetting cursor position for LF without CR")
if err := SetConsoleCursorPosition(h.fd, pos); err != nil {
return err
}
}
}
return nil
}
func (h *windowsAnsiEventHandler) Print(b byte) error {
if h.wrapNext {
h.buffer.WriteByte(h.marginByte)
h.clearWrap()
if _, err := h.simulateLF(true); err != nil {
return err
}
}
pos, info, err := h.getCurrentInfo()
if err != nil {
return err
}
if pos.X == info.Size.X-1 {
h.wrapNext = true
h.marginByte = b
} else {
pos.X++
h.updatePos(pos)
h.buffer.WriteByte(b)
}
return nil
}
func (h *windowsAnsiEventHandler) Execute(b byte) error {
switch b {
case ansiterm.ANSI_TAB:
h.logf("Execute(TAB)")
// Move to the next tab stop, but preserve auto-wrap if already set.
if !h.wrapNext {
pos, info, err := h.getCurrentInfo()
if err != nil {
return err
}
pos.X = (pos.X + 8) - pos.X%8
if pos.X >= info.Size.X {
pos.X = info.Size.X - 1
}
if err := h.Flush(); err != nil {
return err
}
if err := SetConsoleCursorPosition(h.fd, pos); err != nil {
return err
}
}
return nil
case ansiterm.ANSI_BEL:
h.buffer.WriteByte(ansiterm.ANSI_BEL)
return nil
case ansiterm.ANSI_BACKSPACE:
if h.wrapNext {
if err := h.Flush(); err != nil {
return err
}
h.clearWrap()
}
pos, _, err := h.getCurrentInfo()
if err != nil {
return err
}
if pos.X > 0 {
pos.X--
h.updatePos(pos)
h.buffer.WriteByte(ansiterm.ANSI_BACKSPACE)
}
return nil
case ansiterm.ANSI_VERTICAL_TAB, ansiterm.ANSI_FORM_FEED:
// Treat as true LF.
return h.executeLF()
case ansiterm.ANSI_LINE_FEED:
// Simulate a CR and LF for now since there is no way in go-ansiterm
// to tell if the LF should include CR (and more things break when it's
// missing than when it's incorrectly added).
handled, err := h.simulateLF(true)
if handled || err != nil {
return err
}
return h.buffer.WriteByte(ansiterm.ANSI_LINE_FEED)
case ansiterm.ANSI_CARRIAGE_RETURN:
if h.wrapNext {
if err := h.Flush(); err != nil {
return err
}
h.clearWrap()
}
pos, _, err := h.getCurrentInfo()
if err != nil {
return err
}
if pos.X != 0 {
pos.X = 0
h.updatePos(pos)
h.buffer.WriteByte(ansiterm.ANSI_CARRIAGE_RETURN)
}
return nil
default:
return nil
}
}
func (h *windowsAnsiEventHandler) CUU(param int) error {
if err := h.Flush(); err != nil {
return err
}
h.logf("CUU: [%v]", []string{strconv.Itoa(param)})
h.clearWrap()
return h.moveCursorVertical(-param)
}
func (h *windowsAnsiEventHandler) CUD(param int) error {
if err := h.Flush(); err != nil {
return err
}
h.logf("CUD: [%v]", []string{strconv.Itoa(param)})
h.clearWrap()
return h.moveCursorVertical(param)
}
func (h *windowsAnsiEventHandler) CUF(param int) error {
if err := h.Flush(); err != nil {
return err
}
h.logf("CUF: [%v]", []string{strconv.Itoa(param)})
h.clearWrap()
return h.moveCursorHorizontal(param)
}
func (h *windowsAnsiEventHandler) CUB(param int) error {
if err := h.Flush(); err != nil {
return err
}
h.logf("CUB: [%v]", []string{strconv.Itoa(param)})
h.clearWrap()
return h.moveCursorHorizontal(-param)
}
func (h *windowsAnsiEventHandler) CNL(param int) error {
if err := h.Flush(); err != nil {
return err
}
h.logf("CNL: [%v]", []string{strconv.Itoa(param)})
h.clearWrap()
return h.moveCursorLine(param)
}
func (h *windowsAnsiEventHandler) CPL(param int) error {
if err := h.Flush(); err != nil {
return err
}
h.logf("CPL: [%v]", []string{strconv.Itoa(param)})
h.clearWrap()
return h.moveCursorLine(-param)
}
func (h *windowsAnsiEventHandler) CHA(param int) error {
if err := h.Flush(); err != nil {
return err
}
h.logf("CHA: [%v]", []string{strconv.Itoa(param)})
h.clearWrap()
return h.moveCursorColumn(param)
}
func (h *windowsAnsiEventHandler) VPA(param int) error {
if err := h.Flush(); err != nil {
return err
}
h.logf("VPA: [[%d]]", param)
h.clearWrap()
info, err := GetConsoleScreenBufferInfo(h.fd)
if err != nil {
return err
}
window := h.getCursorWindow(info)
position := info.CursorPosition
position.Y = window.Top + int16(param) - 1
return h.setCursorPosition(position, window)
}
func (h *windowsAnsiEventHandler) CUP(row int, col int) error {
if err := h.Flush(); err != nil {
return err
}
h.logf("CUP: [[%d %d]]", row, col)
h.clearWrap()
info, err := GetConsoleScreenBufferInfo(h.fd)
if err != nil {
return err
}
window := h.getCursorWindow(info)
position := COORD{window.Left + int16(col) - 1, window.Top + int16(row) - 1}
return h.setCursorPosition(position, window)
}
func (h *windowsAnsiEventHandler) HVP(row int, col int) error {
if err := h.Flush(); err != nil {
return err
}
h.logf("HVP: [[%d %d]]", row, col)
h.clearWrap()
return h.CUP(row, col)
}
func (h *windowsAnsiEventHandler) DECTCEM(visible bool) error {
if err := h.Flush(); err != nil {
return err
}
h.logf("DECTCEM: [%v]", []string{strconv.FormatBool(visible)})
h.clearWrap()
return nil
}
func (h *windowsAnsiEventHandler) DECOM(enable bool) error {
if err := h.Flush(); err != nil {
return err
}
h.logf("DECOM: [%v]", []string{strconv.FormatBool(enable)})
h.clearWrap()
h.originMode = enable
return h.CUP(1, 1)
}
func (h *windowsAnsiEventHandler) DECCOLM(use132 bool) error {
if err := h.Flush(); err != nil {
return err
}
h.logf("DECCOLM: [%v]", []string{strconv.FormatBool(use132)})
h.clearWrap()
if err := h.ED(2); err != nil {
return err
}
info, err := GetConsoleScreenBufferInfo(h.fd)
if err != nil {
return err
}
targetWidth := int16(80)
if use132 {
targetWidth = 132
}
if info.Size.X < targetWidth {
if err := SetConsoleScreenBufferSize(h.fd, COORD{targetWidth, info.Size.Y}); err != nil {
h.logf("set buffer failed: %v", err)
return err
}
}
window := info.Window
window.Left = 0
window.Right = targetWidth - 1
if err := SetConsoleWindowInfo(h.fd, true, window); err != nil {
h.logf("set window failed: %v", err)
return err
}
if info.Size.X > targetWidth {
if err := SetConsoleScreenBufferSize(h.fd, COORD{targetWidth, info.Size.Y}); err != nil {
h.logf("set buffer failed: %v", err)
return err
}
}
return SetConsoleCursorPosition(h.fd, COORD{0, 0})
}
func (h *windowsAnsiEventHandler) ED(param int) error {
if err := h.Flush(); err != nil {
return err
}
h.logf("ED: [%v]", []string{strconv.Itoa(param)})
h.clearWrap()
// [J -- Erases from the cursor to the end of the screen, including the cursor position.
// [1J -- Erases from the beginning of the screen to the cursor, including the cursor position.
// [2J -- Erases the complete display. The cursor does not move.
// Notes:
// -- Clearing the entire buffer, versus just the Window, works best for Windows Consoles
info, err := GetConsoleScreenBufferInfo(h.fd)
if err != nil {
return err
}
var start COORD
var end COORD
switch param {
case 0:
start = info.CursorPosition
end = COORD{info.Size.X - 1, info.Size.Y - 1}
case 1:
start = COORD{0, 0}
end = info.CursorPosition
case 2:
start = COORD{0, 0}
end = COORD{info.Size.X - 1, info.Size.Y - 1}
}
err = h.clearRange(h.attributes, start, end)
if err != nil {
return err
}
// If the whole buffer was cleared, move the window to the top while preserving
// the window-relative cursor position.
if param == 2 {
pos := info.CursorPosition
window := info.Window
pos.Y -= window.Top
window.Bottom -= window.Top
window.Top = 0
if err := SetConsoleCursorPosition(h.fd, pos); err != nil {
return err
}
if err := SetConsoleWindowInfo(h.fd, true, window); err != nil {
return err
}
}
return nil
}
func (h *windowsAnsiEventHandler) EL(param int) error {
if err := h.Flush(); err != nil {
return err
}
h.logf("EL: [%v]", strconv.Itoa(param))
h.clearWrap()
// [K -- Erases from the cursor to the end of the line, including the cursor position.
// [1K -- Erases from the beginning of the line to the cursor, including the cursor position.
// [2K -- Erases the complete line.
info, err := GetConsoleScreenBufferInfo(h.fd)
if err != nil {
return err
}
var start COORD
var end COORD
switch param {
case 0:
start = info.CursorPosition
end = COORD{info.Size.X, info.CursorPosition.Y}
case 1:
start = COORD{0, info.CursorPosition.Y}
end = info.CursorPosition
case 2:
start = COORD{0, info.CursorPosition.Y}
end = COORD{info.Size.X, info.CursorPosition.Y}
}
err = h.clearRange(h.attributes, start, end)
if err != nil {
return err
}
return nil
}
func (h *windowsAnsiEventHandler) IL(param int) error {
if err := h.Flush(); err != nil {
return err
}
h.logf("IL: [%v]", strconv.Itoa(param))
h.clearWrap()
return h.insertLines(param)
}
func (h *windowsAnsiEventHandler) DL(param int) error {
if err := h.Flush(); err != nil {
return err
}
h.logf("DL: [%v]", strconv.Itoa(param))
h.clearWrap()
return h.deleteLines(param)
}
func (h *windowsAnsiEventHandler) ICH(param int) error {
if err := h.Flush(); err != nil {
return err
}
h.logf("ICH: [%v]", strconv.Itoa(param))
h.clearWrap()
return h.insertCharacters(param)
}
func (h *windowsAnsiEventHandler) DCH(param int) error {
if err := h.Flush(); err != nil {
return err
}
h.logf("DCH: [%v]", strconv.Itoa(param))
h.clearWrap()
return h.deleteCharacters(param)
}
func (h *windowsAnsiEventHandler) SGR(params []int) error {
if err := h.Flush(); err != nil {
return err
}
strings := []string{}
for _, v := range params {
strings = append(strings, strconv.Itoa(v))
}
h.logf("SGR: [%v]", strings)
if len(params) <= 0 {
h.attributes = h.infoReset.Attributes
h.inverted = false
} else {
for _, attr := range params {
if attr == ansiterm.ANSI_SGR_RESET {
h.attributes = h.infoReset.Attributes
h.inverted = false
continue
}
h.attributes, h.inverted = collectAnsiIntoWindowsAttributes(h.attributes, h.inverted, h.infoReset.Attributes, int16(attr))
}
}
attributes := h.attributes
if h.inverted {
attributes = invertAttributes(attributes)
}
err := SetConsoleTextAttribute(h.fd, attributes)
if err != nil {
return err
}
return nil
}
func (h *windowsAnsiEventHandler) SU(param int) error {
if err := h.Flush(); err != nil {
return err
}
h.logf("SU: [%v]", []string{strconv.Itoa(param)})
h.clearWrap()
return h.scrollUp(param)
}
func (h *windowsAnsiEventHandler) SD(param int) error {
if err := h.Flush(); err != nil {
return err
}
h.logf("SD: [%v]", []string{strconv.Itoa(param)})
h.clearWrap()
return h.scrollDown(param)
}
func (h *windowsAnsiEventHandler) DA(params []string) error {
h.logf("DA: [%v]", params)
// DA cannot be implemented because it must send data on the VT100 input stream,
// which is not available to go-ansiterm.
return nil
}
func (h *windowsAnsiEventHandler) DECSTBM(top int, bottom int) error {
if err := h.Flush(); err != nil {
return err
}
h.logf("DECSTBM: [%d, %d]", top, bottom)
// Windows is 0 indexed, Linux is 1 indexed
h.sr.top = int16(top - 1)
h.sr.bottom = int16(bottom - 1)
// This command also moves the cursor to the origin.
h.clearWrap()
return h.CUP(1, 1)
}
func (h *windowsAnsiEventHandler) RI() error {
if err := h.Flush(); err != nil {
return err
}
h.logf("RI: []")
h.clearWrap()
info, err := GetConsoleScreenBufferInfo(h.fd)
if err != nil {
return err
}
sr := h.effectiveSr(info.Window)
if info.CursorPosition.Y == sr.top {
return h.scrollDown(1)
}
return h.moveCursorVertical(-1)
}
func (h *windowsAnsiEventHandler) IND() error {
h.logf("IND: []")
return h.executeLF()
}
func (h *windowsAnsiEventHandler) Flush() error {
h.curInfo = nil
if h.buffer.Len() > 0 {
h.logf("Flush: [%s]", h.buffer.Bytes())
if _, err := h.buffer.WriteTo(h.file); err != nil {
return err
}
}
if h.wrapNext && !h.drewMarginByte {
h.logf("Flush: drawing margin byte '%c'", h.marginByte)
info, err := GetConsoleScreenBufferInfo(h.fd)
if err != nil {
return err
}
charInfo := []CHAR_INFO{{UnicodeChar: uint16(h.marginByte), Attributes: info.Attributes}}
size := COORD{1, 1}
position := COORD{0, 0}
region := SMALL_RECT{Left: info.CursorPosition.X, Top: info.CursorPosition.Y, Right: info.CursorPosition.X, Bottom: info.CursorPosition.Y}
if err := WriteConsoleOutput(h.fd, charInfo, size, position, ®ion); err != nil {
return err
}
h.drewMarginByte = true
}
return nil
}
// cacheConsoleInfo ensures that the current console screen information has been queried
// since the last call to Flush(). It must be called before accessing h.curInfo or h.curPos.
func (h *windowsAnsiEventHandler) getCurrentInfo() (COORD, *CONSOLE_SCREEN_BUFFER_INFO, error) {
if h.curInfo == nil {
info, err := GetConsoleScreenBufferInfo(h.fd)
if err != nil {
return COORD{}, nil, err
}
h.curInfo = info
h.curPos = info.CursorPosition
}
return h.curPos, h.curInfo, nil
}
func (h *windowsAnsiEventHandler) updatePos(pos COORD) {
if h.curInfo == nil {
panic("failed to call getCurrentInfo before calling updatePos")
}
h.curPos = pos
}
// clearWrap clears the state where the cursor is in the margin
// waiting for the next character before wrapping the line. This must
// be done before most operations that act on the cursor.
func (h *windowsAnsiEventHandler) clearWrap() {
h.wrapNext = false
h.drewMarginByte = false
}
================================================
FILE: evmcc/vendor/github.com/Microsoft/go-winio/.gitignore
================================================
*.exe
================================================
FILE: evmcc/vendor/github.com/Microsoft/go-winio/LICENSE
================================================
The MIT License (MIT)
Copyright (c) 2015 Microsoft
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
================================================
FILE: evmcc/vendor/github.com/Microsoft/go-winio/README.md
================================================
# go-winio
This repository contains utilities for efficiently performing Win32 IO operations in
Go. Currently, this is focused on accessing named pipes and other file handles, and
for using named pipes as a net transport.
This code relies on IO completion ports to avoid blocking IO on system threads, allowing Go
to reuse the thread to schedule another goroutine. This limits support to Windows Vista and
newer operating systems. This is similar to the implementation of network sockets in Go's net
package.
Please see the LICENSE file for licensing information.
This project has adopted the [Microsoft Open Source Code of
Conduct](https://opensource.microsoft.com/codeofconduct/). For more information
see the [Code of Conduct
FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or contact
[opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional
questions or comments.
Thanks to natefinch for the inspiration for this library. See https://github.com/natefinch/npipe
for another named pipe implementation.
================================================
FILE: evmcc/vendor/github.com/Microsoft/go-winio/backup.go
================================================
// +build windows
package winio
import (
"encoding/binary"
"errors"
"fmt"
"io"
"io/ioutil"
"os"
"runtime"
"syscall"
"unicode/utf16"
)
//sys backupRead(h syscall.Handle, b []byte, bytesRead *uint32, abort bool, processSecurity bool, context *uintptr) (err error) = BackupRead
//sys backupWrite(h syscall.Handle, b []byte, bytesWritten *uint32, abort bool, processSecurity bool, context *uintptr) (err error) = BackupWrite
const (
BackupData = uint32(iota + 1)
BackupEaData
BackupSecurity
BackupAlternateData
BackupLink
BackupPropertyData
BackupObjectId
BackupReparseData
BackupSparseBlock
BackupTxfsData
)
const (
StreamSparseAttributes = uint32(8)
)
const (
WRITE_DAC = 0x40000
WRITE_OWNER = 0x80000
ACCESS_SYSTEM_SECURITY = 0x1000000
)
// BackupHeader represents a backup stream of a file.
type BackupHeader struct {
Id uint32 // The backup stream ID
Attributes uint32 // Stream attributes
Size int64 // The size of the stream in bytes
Name string // The name of the stream (for BackupAlternateData only).
Offset int64 // The offset of the stream in the file (for BackupSparseBlock only).
}
type win32StreamId struct {
StreamId uint32
Attributes uint32
Size uint64
NameSize uint32
}
// BackupStreamReader reads from a stream produced by the BackupRead Win32 API and produces a series
// of BackupHeader values.
type BackupStreamReader struct {
r io.Reader
bytesLeft int64
}
// NewBackupStreamReader produces a BackupStreamReader from any io.Reader.
func NewBackupStreamReader(r io.Reader) *BackupStreamReader {
return &BackupStreamReader{r, 0}
}
// Next returns the next backup stream and prepares for calls to Read(). It skips the remainder of the current stream if
// it was not completely read.
func (r *BackupStreamReader) Next() (*BackupHeader, error) {
if r.bytesLeft > 0 {
if s, ok := r.r.(io.Seeker); ok {
// Make sure Seek on io.SeekCurrent sometimes succeeds
// before trying the actual seek.
if _, err := s.Seek(0, io.SeekCurrent); err == nil {
if _, err = s.Seek(r.bytesLeft, io.SeekCurrent); err != nil {
return nil, err
}
r.bytesLeft = 0
}
}
if _, err := io.Copy(ioutil.Discard, r); err != nil {
return nil, err
}
}
var wsi win32StreamId
if err := binary.Read(r.r, binary.LittleEndian, &wsi); err != nil {
return nil, err
}
hdr := &BackupHeader{
Id: wsi.StreamId,
Attributes: wsi.Attributes,
Size: int64(wsi.Size),
}
if wsi.NameSize != 0 {
name := make([]uint16, int(wsi.NameSize/2))
if err := binary.Read(r.r, binary.LittleEndian, name); err != nil {
return nil, err
}
hdr.Name = syscall.UTF16ToString(name)
}
if wsi.StreamId == BackupSparseBlock {
if err := binary.Read(r.r, binary.LittleEndian, &hdr.Offset); err != nil {
return nil, err
}
hdr.Size -= 8
}
r.bytesLeft = hdr.Size
return hdr, nil
}
// Read reads from the current backup stream.
func (r *BackupStreamReader) Read(b []byte) (int, error) {
if r.bytesLeft == 0 {
return 0, io.EOF
}
if int64(len(b)) > r.bytesLeft {
b = b[:r.bytesLeft]
}
n, err := r.r.Read(b)
r.bytesLeft -= int64(n)
if err == io.EOF {
err = io.ErrUnexpectedEOF
} else if r.bytesLeft == 0 && err == nil {
err = io.EOF
}
return n, err
}
// BackupStreamWriter writes a stream compatible with the BackupWrite Win32 API.
type BackupStreamWriter struct {
w io.Writer
bytesLeft int64
}
// NewBackupStreamWriter produces a BackupStreamWriter on top of an io.Writer.
func NewBackupStreamWriter(w io.Writer) *BackupStreamWriter {
return &BackupStreamWriter{w, 0}
}
// WriteHeader writes the next backup stream header and prepares for calls to Write().
func (w *BackupStreamWriter) WriteHeader(hdr *BackupHeader) error {
if w.bytesLeft != 0 {
return fmt.Errorf("missing %d bytes", w.bytesLeft)
}
name := utf16.Encode([]rune(hdr.Name))
wsi := win32StreamId{
StreamId: hdr.Id,
Attributes: hdr.Attributes,
Size: uint64(hdr.Size),
NameSize: uint32(len(name) * 2),
}
if hdr.Id == BackupSparseBlock {
// Include space for the int64 block offset
wsi.Size += 8
}
if err := binary.Write(w.w, binary.LittleEndian, &wsi); err != nil {
return err
}
if len(name) != 0 {
if err := binary.Write(w.w, binary.LittleEndian, name); err != nil {
return err
}
}
if hdr.Id == BackupSparseBlock {
if err := binary.Write(w.w, binary.LittleEndian, hdr.Offset); err != nil {
return err
}
}
w.bytesLeft = hdr.Size
return nil
}
// Write writes to the current backup stream.
func (w *BackupStreamWriter) Write(b []byte) (int, error) {
if w.bytesLeft < int64(len(b)) {
return 0, fmt.Errorf("too many bytes by %d", int64(len(b))-w.bytesLeft)
}
n, err := w.w.Write(b)
w.bytesLeft -= int64(n)
return n, err
}
// BackupFileReader provides an io.ReadCloser interface on top of the BackupRead Win32 API.
type BackupFileReader struct {
f *os.File
includeSecurity bool
ctx uintptr
}
// NewBackupFileReader returns a new BackupFileReader from a file handle. If includeSecurity is true,
// Read will attempt to read the security descriptor of the file.
func NewBackupFileReader(f *os.File, includeSecurity bool) *BackupFileReader {
r := &BackupFileReader{f, includeSecurity, 0}
return r
}
// Read reads a backup stream from the file by calling the Win32 API BackupRead().
func (r *BackupFileReader) Read(b []byte) (int, error) {
var bytesRead uint32
err := backupRead(syscall.Handle(r.f.Fd()), b, &bytesRead, false, r.includeSecurity, &r.ctx)
if err != nil {
return 0, &os.PathError{"BackupRead", r.f.Name(), err}
}
runtime.KeepAlive(r.f)
if bytesRead == 0 {
return 0, io.EOF
}
return int(bytesRead), nil
}
// Close frees Win32 resources associated with the BackupFileReader. It does not close
// the underlying file.
func (r *BackupFileReader) Close() error {
if r.ctx != 0 {
backupRead(syscall.Handle(r.f.Fd()), nil, nil, true, false, &r.ctx)
runtime.KeepAlive(r.f)
r.ctx = 0
}
return nil
}
// BackupFileWriter provides an io.WriteCloser interface on top of the BackupWrite Win32 API.
type BackupFileWriter struct {
f *os.File
includeSecurity bool
ctx uintptr
}
// NewBackupFileWriter returns a new BackupFileWriter from a file handle. If includeSecurity is true,
// Write() will attempt to restore the security descriptor from the stream.
func NewBackupFileWriter(f *os.File, includeSecurity bool) *BackupFileWriter {
w := &BackupFileWriter{f, includeSecurity, 0}
return w
}
// Write restores a portion of the file using the provided backup stream.
func (w *BackupFileWriter) Write(b []byte) (int, error) {
var bytesWritten uint32
err := backupWrite(syscall.Handle(w.f.Fd()), b, &bytesWritten, false, w.includeSecurity, &w.ctx)
if err != nil {
return 0, &os.PathError{"BackupWrite", w.f.Name(), err}
}
runtime.KeepAlive(w.f)
if int(bytesWritten) != len(b) {
return int(bytesWritten), errors.New("not all bytes could be written")
}
return len(b), nil
}
// Close frees Win32 resources associated with the BackupFileWriter. It does not
// close the underlying file.
func (w *BackupFileWriter) Close() error {
if w.ctx != 0 {
backupWrite(syscall.Handle(w.f.Fd()), nil, nil, true, false, &w.ctx)
runtime.KeepAlive(w.f)
w.ctx = 0
}
return nil
}
// OpenForBackup opens a file or directory, potentially skipping access checks if the backup
// or restore privileges have been acquired.
//
// If the file opened was a directory, it cannot be used with Readdir().
func OpenForBackup(path string, access uint32, share uint32, createmode uint32) (*os.File, error) {
winPath, err := syscall.UTF16FromString(path)
if err != nil {
return nil, err
}
h, err := syscall.CreateFile(&winPath[0], access, share, nil, createmode, syscall.FILE_FLAG_BACKUP_SEMANTICS|syscall.FILE_FLAG_OPEN_REPARSE_POINT, 0)
if err != nil {
err = &os.PathError{Op: "open", Path: path, Err: err}
return nil, err
}
return os.NewFile(uintptr(h), path), nil
}
================================================
FILE: evmcc/vendor/github.com/Microsoft/go-winio/ea.go
================================================
package winio
import (
"bytes"
"encoding/binary"
"errors"
)
type fileFullEaInformation struct {
NextEntryOffset uint32
Flags uint8
NameLength uint8
ValueLength uint16
}
var (
fileFullEaInformationSize = binary.Size(&fileFullEaInformation{})
errInvalidEaBuffer = errors.New("invalid extended attribute buffer")
errEaNameTooLarge = errors.New("extended attribute name too large")
errEaValueTooLarge = errors.New("extended attribute value too large")
)
// ExtendedAttribute represents a single Windows EA.
type ExtendedAttribute struct {
Name string
Value []byte
Flags uint8
}
func parseEa(b []byte) (ea ExtendedAttribute, nb []byte, err error) {
var info fileFullEaInformation
err = binary.Read(bytes.NewReader(b), binary.LittleEndian, &info)
if err != nil {
err = errInvalidEaBuffer
return
}
nameOffset := fileFullEaInformationSize
nameLen := int(info.NameLength)
valueOffset := nameOffset + int(info.NameLength) + 1
valueLen := int(info.ValueLength)
nextOffset := int(info.NextEntryOffset)
if valueLen+valueOffset > len(b) || nextOffset < 0 || nextOffset > len(b) {
err = errInvalidEaBuffer
return
}
ea.Name = string(b[nameOffset : nameOffset+nameLen])
ea.Value = b[valueOffset : valueOffset+valueLen]
ea.Flags = info.Flags
if info.NextEntryOffset != 0 {
nb = b[info.NextEntryOffset:]
}
return
}
// DecodeExtendedAttributes decodes a list of EAs from a FILE_FULL_EA_INFORMATION
// buffer retrieved from BackupRead, ZwQueryEaFile, etc.
func DecodeExtendedAttributes(b []byte) (eas []ExtendedAttribute, err error) {
for len(b) != 0 {
ea, nb, err := parseEa(b)
if err != nil {
return nil, err
}
eas = append(eas, ea)
b = nb
}
return
}
func writeEa(buf *bytes.Buffer, ea *ExtendedAttribute, last bool) error {
if int(uint8(len(ea.Name))) != len(ea.Name) {
return errEaNameTooLarge
}
if int(uint16(len(ea.Value))) != len(ea.Value) {
return errEaValueTooLarge
}
entrySize := uint32(fileFullEaInformationSize + len(ea.Name) + 1 + len(ea.Value))
withPadding := (entrySize + 3) &^ 3
nextOffset := uint32(0)
if !last {
nextOffset = withPadding
}
info := fileFullEaInformation{
NextEntryOffset: nextOffset,
Flags: ea.Flags,
NameLength: uint8(len(ea.Name)),
ValueLength: uint16(len(ea.Value)),
}
err := binary.Write(buf, binary.LittleEndian, &info)
if err != nil {
return err
}
_, err = buf.Write([]byte(ea.Name))
if err != nil {
return err
}
err = buf.WriteByte(0)
if err != nil {
return err
}
_, err = buf.Write(ea.Value)
if err != nil {
return err
}
_, err = buf.Write([]byte{0, 0, 0}[0 : withPadding-entrySize])
if err != nil {
return err
}
return nil
}
// EncodeExtendedAttributes encodes a list of EAs into a FILE_FULL_EA_INFORMATION
// buffer for use with BackupWrite, ZwSetEaFile, etc.
func EncodeExtendedAttributes(eas []ExtendedAttribute) ([]byte, error) {
var buf bytes.Buffer
for i := range eas {
last := false
if i == len(eas)-1 {
last = true
}
err := writeEa(&buf, &eas[i], last)
if err != nil {
return nil, err
}
}
return buf.Bytes(), nil
}
================================================
FILE: evmcc/vendor/github.com/Microsoft/go-winio/file.go
================================================
// +build windows
package winio
import (
"errors"
"io"
"runtime"
"sync"
"sync/atomic"
"syscall"
"time"
)
//sys cancelIoEx(file syscall.Handle, o *syscall.Overlapped) (err error) = CancelIoEx
//sys createIoCompletionPort(file syscall.Handle, port syscall.Handle, key uintptr, threadCount uint32) (newport syscall.Handle, err error) = CreateIoCompletionPort
//sys getQueuedCompletionStatus(port syscall.Handle, bytes *uint32, key *uintptr, o **ioOperation, timeout uint32) (err error) = GetQueuedCompletionStatus
//sys setFileCompletionNotificationModes(h syscall.Handle, flags uint8) (err error) = SetFileCompletionNotificationModes
type atomicBool int32
func (b *atomicBool) isSet() bool { return atomic.LoadInt32((*int32)(b)) != 0 }
func (b *atomicBool) setFalse() { atomic.StoreInt32((*int32)(b), 0) }
func (b *atomicBool) setTrue() { atomic.StoreInt32((*int32)(b), 1) }
func (b *atomicBool) swap(new bool) bool {
var newInt int32
if new {
newInt = 1
}
return atomic.SwapInt32((*int32)(b), newInt) == 1
}
const (
cFILE_SKIP_COMPLETION_PORT_ON_SUCCESS = 1
cFILE_SKIP_SET_EVENT_ON_HANDLE = 2
)
var (
ErrFileClosed = errors.New("file has already been closed")
ErrTimeout = &timeoutError{}
)
type timeoutError struct{}
func (e *timeoutError) Error() string { return "i/o timeout" }
func (e *timeoutError) Timeout() bool { return true }
func (e *timeoutError) Temporary() bool { return true }
type timeoutChan chan struct{}
var ioInitOnce sync.Once
var ioCompletionPort syscall.Handle
// ioResult contains the result of an asynchronous IO operation
type ioResult struct {
bytes uint32
err error
}
// ioOperation represents an outstanding asynchronous Win32 IO
type ioOperation struct {
o syscall.Overlapped
ch chan ioResult
}
func initIo() {
h, err := createIoCompletionPort(syscall.InvalidHandle, 0, 0, 0xffffffff)
if err != nil {
panic(err)
}
ioCompletionPort = h
go ioCompletionProcessor(h)
}
// win32File implements Reader, Writer, and Closer on a Win32 handle without blocking in a syscall.
// It takes ownership of this handle and will close it if it is garbage collected.
type win32File struct {
handle syscall.Handle
wg sync.WaitGroup
wgLock sync.RWMutex
closing atomicBool
readDeadline deadlineHandler
writeDeadline deadlineHandler
}
type deadlineHandler struct {
setLock sync.Mutex
channel timeoutChan
channelLock sync.RWMutex
timer *time.Timer
timedout atomicBool
}
// makeWin32File makes a new win32File from an existing file handle
func makeWin32File(h syscall.Handle) (*win32File, error) {
f := &win32File{handle: h}
ioInitOnce.Do(initIo)
_, err := createIoCompletionPort(h, ioCompletionPort, 0, 0xffffffff)
if err != nil {
return nil, err
}
err = setFileCompletionNotificationModes(h, cFILE_SKIP_COMPLETION_PORT_ON_SUCCESS|cFILE_SKIP_SET_EVENT_ON_HANDLE)
if err != nil {
return nil, err
}
f.readDeadline.channel = make(timeoutChan)
f.writeDeadline.channel = make(timeoutChan)
return f, nil
}
func MakeOpenFile(h syscall.Handle) (io.ReadWriteCloser, error) {
return makeWin32File(h)
}
// closeHandle closes the resources associated with a Win32 handle
func (f *win32File) closeHandle() {
f.wgLock.Lock()
// Atomically set that we are closing, releasing the resources only once.
if !f.closing.swap(true) {
f.wgLock.Unlock()
// cancel all IO and wait for it to complete
cancelIoEx(f.handle, nil)
f.wg.Wait()
// at this point, no new IO can start
syscall.Close(f.handle)
f.handle = 0
} else {
f.wgLock.Unlock()
}
}
// Close closes a win32File.
func (f *win32File) Close() error {
f.closeHandle()
return nil
}
// prepareIo prepares for a new IO operation.
// The caller must call f.wg.Done() when the IO is finished, prior to Close() returning.
func (f *win32File) prepareIo() (*ioOperation, error) {
f.wgLock.RLock()
if f.closing.isSet() {
f.wgLock.RUnlock()
return nil, ErrFileClosed
}
f.wg.Add(1)
f.wgLock.RUnlock()
c := &ioOperation{}
c.ch = make(chan ioResult)
return c, nil
}
// ioCompletionProcessor processes completed async IOs forever
func ioCompletionProcessor(h syscall.Handle) {
for {
var bytes uint32
var key uintptr
var op *ioOperation
err := getQueuedCompletionStatus(h, &bytes, &key, &op, syscall.INFINITE)
if op == nil {
panic(err)
}
op.ch <- ioResult{bytes, err}
}
}
// asyncIo processes the return value from ReadFile or WriteFile, blocking until
// the operation has actually completed.
func (f *win32File) asyncIo(c *ioOperation, d *deadlineHandler, bytes uint32, err error) (int, error) {
if err != syscall.ERROR_IO_PENDING {
return int(bytes), err
}
if f.closing.isSet() {
cancelIoEx(f.handle, &c.o)
}
var timeout timeoutChan
if d != nil {
d.channelLock.Lock()
timeout = d.channel
d.channelLock.Unlock()
}
var r ioResult
select {
case r = <-c.ch:
err = r.err
if err == syscall.ERROR_OPERATION_ABORTED {
if f.closing.isSet() {
err = ErrFileClosed
}
}
case <-timeout:
cancelIoEx(f.handle, &c.o)
r = <-c.ch
err = r.err
if err == syscall.ERROR_OPERATION_ABORTED {
err = ErrTimeout
}
}
// runtime.KeepAlive is needed, as c is passed via native
// code to ioCompletionProcessor, c must remain alive
// until the channel read is complete.
runtime.KeepAlive(c)
return int(r.bytes), err
}
// Read reads from a file handle.
func (f *win32File) Read(b []byte) (int, error) {
c, err := f.prepareIo()
if err != nil {
return 0, err
}
defer f.wg.Done()
if f.readDeadline.timedout.isSet() {
return 0, ErrTimeout
}
var bytes uint32
err = syscall.ReadFile(f.handle, b, &bytes, &c.o)
n, err := f.asyncIo(c, &f.readDeadline, bytes, err)
runtime.KeepAlive(b)
// Handle EOF conditions.
if err == nil && n == 0 && len(b) != 0 {
return 0, io.EOF
} else if err == syscall.ERROR_BROKEN_PIPE {
return 0, io.EOF
} else {
return n, err
}
}
// Write writes to a file handle.
func (f *win32File) Write(b []byte) (int, error) {
c, err := f.prepareIo()
if err != nil {
return 0, err
}
defer f.wg.Done()
if f.writeDeadline.timedout.isSet() {
return 0, ErrTimeout
}
var bytes uint32
err = syscall.WriteFile(f.handle, b, &bytes, &c.o)
n, err := f.asyncIo(c, &f.writeDeadline, bytes, err)
runtime.KeepAlive(b)
return n, err
}
func (f *win32File) SetReadDeadline(deadline time.Time) error {
return f.readDeadline.set(deadline)
}
func (f *win32File) SetWriteDeadline(deadline time.Time) error {
return f.writeDeadline.set(deadline)
}
func (f *win32File) Flush() error {
return syscall.FlushFileBuffers(f.handle)
}
func (d *deadlineHandler) set(deadline time.Time) error {
d.setLock.Lock()
defer d.setLock.Unlock()
if d.timer != nil {
if !d.timer.Stop() {
<-d.channel
}
d.timer = nil
}
d.timedout.setFalse()
select {
case <-d.channel:
d.channelLock.Lock()
d.channel = make(chan struct{})
d.channelLock.Unlock()
default:
}
if deadline.IsZero() {
return nil
}
timeoutIO := func() {
d.timedout.setTrue()
close(d.channel)
}
now := time.Now()
duration := deadline.Sub(now)
if deadline.After(now) {
// Deadline is in the future, set a timer to wait
d.timer = time.AfterFunc(duration, timeoutIO)
} else {
// Deadline is in the past. Cancel all pending IO now.
timeoutIO()
}
return nil
}
================================================
FILE: evmcc/vendor/github.com/Microsoft/go-winio/fileinfo.go
================================================
// +build windows
package winio
import (
"os"
"runtime"
"syscall"
"unsafe"
)
//sys getFileInformationByHandleEx(h syscall.Handle, class uint32, buffer *byte, size uint32) (err error) = GetFileInformationByHandleEx
//sys setFileInformationByHandle(h syscall.Handle, class uint32, buffer *byte, size uint32) (err error) = SetFileInformationByHandle
const (
fileBasicInfo = 0
fileIDInfo = 0x12
)
// FileBasicInfo contains file access time and file attributes information.
type FileBasicInfo struct {
CreationTime, LastAccessTime, LastWriteTime, ChangeTime syscall.Filetime
FileAttributes uint32
pad uint32 // padding
}
// GetFileBasicInfo retrieves times and attributes for a file.
func GetFileBasicInfo(f *os.File) (*FileBasicInfo, error) {
bi := &FileBasicInfo{}
if err := getFileInformationByHandleEx(syscall.Handle(f.Fd()), fileBasicInfo, (*byte)(unsafe.Pointer(bi)), uint32(unsafe.Sizeof(*bi))); err != nil {
return nil, &os.PathError{Op: "GetFileInformationByHandleEx", Path: f.Name(), Err: err}
}
runtime.KeepAlive(f)
return bi, nil
}
// SetFileBasicInfo sets times and attributes for a file.
func SetFileBasicInfo(f *os.File, bi *FileBasicInfo) error {
if err := setFileInformationByHandle(syscall.Handle(f.Fd()), fileBasicInfo, (*byte)(unsafe.Pointer(bi)), uint32(unsafe.Sizeof(*bi))); err != nil {
return &os.PathError{Op: "SetFileInformationByHandle", Path: f.Name(), Err: err}
}
runtime.KeepAlive(f)
return nil
}
// FileIDInfo contains the volume serial number and file ID for a file. This pair should be
// unique on a system.
type FileIDInfo struct {
VolumeSerialNumber uint64
FileID [16]byte
}
// GetFileID retrieves the unique (volume, file ID) pair for a file.
func GetFileID(f *os.File) (*FileIDInfo, error) {
fileID := &FileIDInfo{}
if err := getFileInformationByHandleEx(syscall.Handle(f.Fd()), fileIDInfo, (*byte)(unsafe.Pointer(fileID)), uint32(unsafe.Sizeof(*fileID))); err != nil {
return nil, &os.PathError{Op: "GetFileInformationByHandleEx", Path: f.Name(), Err: err}
}
runtime.KeepAlive(f)
return fileID, nil
}
================================================
FILE: evmcc/vendor/github.com/Microsoft/go-winio/pipe.go
================================================
// +build windows
package winio
import (
"errors"
"io"
"net"
"os"
"syscall"
"time"
"unsafe"
)
//sys connectNamedPipe(pipe syscall.Handle, o *syscall.Overlapped) (err error) = ConnectNamedPipe
//sys createNamedPipe(name string, flags uint32, pipeMode uint32, maxInstances uint32, outSize uint32, inSize uint32, defaultTimeout uint32, sa *syscall.SecurityAttributes) (handle syscall.Handle, err error) [failretval==syscall.InvalidHandle] = CreateNamedPipeW
//sys createFile(name string, access uint32, mode uint32, sa *syscall.SecurityAttributes, createmode uint32, attrs uint32, templatefile syscall.Handle) (handle syscall.Handle, err error) [failretval==syscall.InvalidHandle] = CreateFileW
//sys getNamedPipeInfo(pipe syscall.Handle, flags *uint32, outSize *uint32, inSize *uint32, maxInstances *uint32) (err error) = GetNamedPipeInfo
//sys getNamedPipeHandleState(pipe syscall.Handle, state *uint32, curInstances *uint32, maxCollectionCount *uint32, collectDataTimeout *uint32, userName *uint16, maxUserNameSize uint32) (err error) = GetNamedPipeHandleStateW
//sys localAlloc(uFlags uint32, length uint32) (ptr uintptr) = LocalAlloc
const (
cERROR_PIPE_BUSY = syscall.Errno(231)
cERROR_NO_DATA = syscall.Errno(232)
cERROR_PIPE_CONNECTED = syscall.Errno(535)
cERROR_SEM_TIMEOUT = syscall.Errno(121)
cPIPE_ACCESS_DUPLEX = 0x3
cFILE_FLAG_FIRST_PIPE_INSTANCE = 0x80000
cSECURITY_SQOS_PRESENT = 0x100000
cSECURITY_ANONYMOUS = 0
cPIPE_REJECT_REMOTE_CLIENTS = 0x8
cPIPE_UNLIMITED_INSTANCES = 255
cNMPWAIT_USE_DEFAULT_WAIT = 0
cNMPWAIT_NOWAIT = 1
cPIPE_TYPE_MESSAGE = 4
cPIPE_READMODE_MESSAGE = 2
)
var (
// ErrPipeListenerClosed is returned for pipe operations on listeners that have been closed.
// This error should match net.errClosing since docker takes a dependency on its text.
ErrPipeListenerClosed = errors.New("use of closed network connection")
errPipeWriteClosed = errors.New("pipe has been closed for write")
)
type win32Pipe struct {
*win32File
path string
}
type win32MessageBytePipe struct {
win32Pipe
writeClosed bool
readEOF bool
}
type pipeAddress string
func (f *win32Pipe) LocalAddr() net.Addr {
return pipeAddress(f.path)
}
func (f *win32Pipe) RemoteAddr() net.Addr {
return pipeAddress(f.path)
}
func (f *win32Pipe) SetDeadline(t time.Time) error {
f.SetReadDeadline(t)
f.SetWriteDeadline(t)
return nil
}
// CloseWrite closes the write side of a message pipe in byte mode.
func (f *win32MessageBytePipe) CloseWrite() error {
if f.writeClosed {
return errPipeWriteClosed
}
err := f.win32File.Flush()
if err != nil {
return err
}
_, err = f.win32File.Write(nil)
if err != nil {
return err
}
f.writeClosed = true
return nil
}
// Write writes bytes to a message pipe in byte mode. Zero-byte writes are ignored, since
// they are used to implement CloseWrite().
func (f *win32MessageBytePipe) Write(b []byte) (int, error) {
if f.writeClosed {
return 0, errPipeWriteClosed
}
if len(b) == 0 {
return 0, nil
}
return f.win32File.Write(b)
}
// Read reads bytes from a message pipe in byte mode. A read of a zero-byte message on a message
// mode pipe will return io.EOF, as will all subsequent reads.
func (f *win32MessageBytePipe) Read(b []byte) (int, error) {
if f.readEOF {
return 0, io.EOF
}
n, err := f.win32File.Read(b)
if err == io.EOF {
// If this was the result of a zero-byte read, then
// it is possible that the read was due to a zero-size
// message. Since we are simulating CloseWrite with a
// zero-byte message, ensure that all future Read() calls
// also return EOF.
f.readEOF = true
} else if err == syscall.ERROR_MORE_DATA {
// ERROR_MORE_DATA indicates that the pipe's read mode is message mode
// and the message still has more bytes. Treat this as a success, since
// this package presents all named pipes as byte streams.
err = nil
}
return n, err
}
func (s pipeAddress) Network() string {
return "pipe"
}
func (s pipeAddress) String() string {
return string(s)
}
// DialPipe connects to a named pipe by path, timing out if the connection
// takes longer than the specified duration. If timeout is nil, then we use
// a default timeout of 5 seconds. (We do not use WaitNamedPipe.)
func DialPipe(path string, timeout *time.Duration) (net.Conn, error) {
var absTimeout time.Time
if timeout != nil {
absTimeout = time.Now().Add(*timeout)
} else {
absTimeout = time.Now().Add(time.Second * 2)
}
var err error
var h syscall.Handle
for {
h, err = createFile(path, syscall.GENERIC_READ|syscall.GENERIC_WRITE, 0, nil, syscall.OPEN_EXISTING, syscall.FILE_FLAG_OVERLAPPED|cSECURITY_SQOS_PRESENT|cSECURITY_ANONYMOUS, 0)
if err != cERROR_PIPE_BUSY {
break
}
if time.Now().After(absTimeout) {
return nil, ErrTimeout
}
// Wait 10 msec and try again. This is a rather simplistic
// view, as we always try each 10 milliseconds.
time.Sleep(time.Millisecond * 10)
}
if err != nil {
return nil, &os.PathError{Op: "open", Path: path, Err: err}
}
var flags uint32
err = getNamedPipeInfo(h, &flags, nil, nil, nil)
if err != nil {
return nil, err
}
f, err := makeWin32File(h)
if err != nil {
syscall.Close(h)
return nil, err
}
// If the pipe is in message mode, return a message byte pipe, which
// supports CloseWrite().
if flags&cPIPE_TYPE_MESSAGE != 0 {
return &win32MessageBytePipe{
win32Pipe: win32Pipe{win32File: f, path: path},
}, nil
}
return &win32Pipe{win32File: f, path: path}, nil
}
type acceptResponse struct {
f *win32File
err error
}
type win32PipeListener struct {
firstHandle syscall.Handle
path string
securityDescriptor []byte
config PipeConfig
acceptCh chan (chan acceptResponse)
closeCh chan int
doneCh chan int
}
func makeServerPipeHandle(path string, securityDescriptor []byte, c *PipeConfig, first bool) (syscall.Handle, error) {
var flags uint32 = cPIPE_ACCESS_DUPLEX | syscall.FILE_FLAG_OVERLAPPED
if first {
flags |= cFILE_FLAG_FIRST_PIPE_INSTANCE
}
var mode uint32 = cPIPE_REJECT_REMOTE_CLIENTS
if c.MessageMode {
mode |= cPIPE_TYPE_MESSAGE
}
sa := &syscall.SecurityAttributes{}
sa.Length = uint32(unsafe.Sizeof(*sa))
if securityDescriptor != nil {
len := uint32(len(securityDescriptor))
sa.SecurityDescriptor = localAlloc(0, len)
defer localFree(sa.SecurityDescriptor)
copy((*[0xffff]byte)(unsafe.Pointer(sa.SecurityDescriptor))[:], securityDescriptor)
}
h, err := createNamedPipe(path, flags, mode, cPIPE_UNLIMITED_INSTANCES, uint32(c.OutputBufferSize), uint32(c.InputBufferSize), 0, sa)
if err != nil {
return 0, &os.PathError{Op: "open", Path: path, Err: err}
}
return h, nil
}
func (l *win32PipeListener) makeServerPipe() (*win32File, error) {
h, err := makeServerPipeHandle(l.path, l.securityDescriptor, &l.config, false)
if err != nil {
return nil, err
}
f, err := makeWin32File(h)
if err != nil {
syscall.Close(h)
return nil, err
}
return f, nil
}
func (l *win32PipeListener) makeConnectedServerPipe() (*win32File, error) {
p, err := l.makeServerPipe()
if err != nil {
return nil, err
}
// Wait for the client to connect.
ch := make(chan error)
go func(p *win32File) {
ch <- connectPipe(p)
}(p)
select {
case err = <-ch:
if err != nil {
p.Close()
p = nil
}
case <-l.closeCh:
// Abort the connect request by closing the handle.
p.Close()
p = nil
err = <-ch
if err == nil || err == ErrFileClosed {
err = ErrPipeListenerClosed
}
}
return p, err
}
func (l *win32PipeListener) listenerRoutine() {
closed := false
for !closed {
select {
case <-l.closeCh:
closed = true
case responseCh := <-l.acceptCh:
var (
p *win32File
err error
)
for {
p, err = l.makeConnectedServerPipe()
// If the connection was immediately closed by the client, try
// again.
if err != cERROR_NO_DATA {
break
}
}
responseCh <- acceptResponse{p, err}
closed = err == ErrPipeListenerClosed
}
}
syscall.Close(l.firstHandle)
l.firstHandle = 0
// Notify Close() and Accept() callers that the handle has been closed.
close(l.doneCh)
}
// PipeConfig contain configuration for the pipe listener.
type PipeConfig struct {
// SecurityDescriptor contains a Windows security descriptor in SDDL format.
SecurityDescriptor string
// MessageMode determines whether the pipe is in byte or message mode. In either
// case the pipe is read in byte mode by default. The only practical difference in
// this implementation is that CloseWrite() is only supported for message mode pipes;
// CloseWrite() is implemented as a zero-byte write, but zero-byte writes are only
// transferred to the reader (and returned as io.EOF in this implementation)
// when the pipe is in message mode.
MessageMode bool
// InputBufferSize specifies the size the input buffer, in bytes.
InputBufferSize int32
// OutputBufferSize specifies the size the input buffer, in bytes.
OutputBufferSize int32
}
// ListenPipe creates a listener on a Windows named pipe path, e.g. \\.\pipe\mypipe.
// The pipe must not already exist.
func ListenPipe(path string, c *PipeConfig) (net.Listener, error) {
var (
sd []byte
err error
)
if c == nil {
c = &PipeConfig{}
}
if c.SecurityDescriptor != "" {
sd, err = SddlToSecurityDescriptor(c.SecurityDescriptor)
if err != nil {
return nil, err
}
}
h, err := makeServerPipeHandle(path, sd, c, true)
if err != nil {
return nil, err
}
// Create a client handle and connect it. This results in the pipe
// instance always existing, so that clients see ERROR_PIPE_BUSY
// rather than ERROR_FILE_NOT_FOUND. This ties the first instance
// up so that no other instances can be used. This would have been
// cleaner if the Win32 API matched CreateFile with ConnectNamedPipe
// instead of CreateNamedPipe. (Apparently created named pipes are
// considered to be in listening state regardless of whether any
// active calls to ConnectNamedPipe are outstanding.)
h2, err := createFile(path, 0, 0, nil, syscall.OPEN_EXISTING, cSECURITY_SQOS_PRESENT|cSECURITY_ANONYMOUS, 0)
if err != nil {
syscall.Close(h)
return nil, err
}
// Close the client handle. The server side of the instance will
// still be busy, leading to ERROR_PIPE_BUSY instead of
// ERROR_NOT_FOUND, as long as we don't close the server handle,
// or disconnect the client with DisconnectNamedPipe.
syscall.Close(h2)
l := &win32PipeListener{
firstHandle: h,
path: path,
securityDescriptor: sd,
config: *c,
acceptCh: make(chan (chan acceptResponse)),
closeCh: make(chan int),
doneCh: make(chan int),
}
go l.listenerRoutine()
return l, nil
}
func connectPipe(p *win32File) error {
c, err := p.prepareIo()
if err != nil {
return err
}
defer p.wg.Done()
err = connectNamedPipe(p.handle, &c.o)
_, err = p.asyncIo(c, nil, 0, err)
if err != nil && err != cERROR_PIPE_CONNECTED {
return err
}
return nil
}
func (l *win32PipeListener) Accept() (net.Conn, error) {
ch := make(chan acceptResponse)
select {
case l.acceptCh <- ch:
response := <-ch
err := response.err
if err != nil {
return nil, err
}
if l.config.MessageMode {
return &win32MessageBytePipe{
win32Pipe: win32Pipe{win32File: response.f, path: l.path},
}, nil
}
return &win32Pipe{win32File: response.f, path: l.path}, nil
case <-l.doneCh:
return nil, ErrPipeListenerClosed
}
}
func (l *win32PipeListener) Close() error {
select {
case l.closeCh <- 1:
<-l.doneCh
case <-l.doneCh:
}
return nil
}
func (l *win32PipeListener) Addr() net.Addr {
return pipeAddress(l.path)
}
================================================
FILE: evmcc/vendor/github.com/Microsoft/go-winio/privilege.go
================================================
// +build windows
package winio
import (
"bytes"
"encoding/binary"
"fmt"
"runtime"
"sync"
"syscall"
"unicode/utf16"
"golang.org/x/sys/windows"
)
//sys adjustTokenPrivileges(token windows.Token, releaseAll bool, input *byte, outputSize uint32, output *byte, requiredSize *uint32) (success bool, err error) [true] = advapi32.AdjustTokenPrivileges
//sys impersonateSelf(level uint32) (err error) = advapi32.ImpersonateSelf
//sys revertToSelf() (err error) = advapi32.RevertToSelf
//sys openThreadToken(thread syscall.Handle, accessMask uint32, openAsSelf bool, token *windows.Token) (err error) = advapi32.OpenThreadToken
//sys getCurrentThread() (h syscall.Handle) = GetCurrentThread
//sys lookupPrivilegeValue(systemName string, name string, luid *uint64) (err error) = advapi32.LookupPrivilegeValueW
//sys lookupPrivilegeName(systemName string, luid *uint64, buffer *uint16, size *uint32) (err error) = advapi32.LookupPrivilegeNameW
//sys lookupPrivilegeDisplayName(systemName string, name *uint16, buffer *uint16, size *uint32, languageId *uint32) (err error) = advapi32.LookupPrivilegeDisplayNameW
const (
SE_PRIVILEGE_ENABLED = 2
ERROR_NOT_ALL_ASSIGNED syscall.Errno = 1300
SeBackupPrivilege = "SeBackupPrivilege"
SeRestorePrivilege = "SeRestorePrivilege"
)
const (
securityAnonymous = iota
securityIdentification
securityImpersonation
securityDelegation
)
var (
privNames = make(map[string]uint64)
privNameMutex sync.Mutex
)
// PrivilegeError represents an error enabling privileges.
type PrivilegeError struct {
privileges []uint64
}
func (e *PrivilegeError) Error() string {
s := ""
if len(e.privileges) > 1 {
s = "Could not enable privileges "
} else {
s = "Could not enable privilege "
}
for i, p := range e.privileges {
if i != 0 {
s += ", "
}
s += `"`
s += getPrivilegeName(p)
s += `"`
}
return s
}
// RunWithPrivilege enables a single privilege for a function call.
func RunWithPrivilege(name string, fn func() error) error {
return RunWithPrivileges([]string{name}, fn)
}
// RunWithPrivileges enables privileges for a function call.
func RunWithPrivileges(names []string, fn func() error) error {
privileges, err := mapPrivileges(names)
if err != nil {
return err
}
runtime.LockOSThread()
defer runtime.UnlockOSThread()
token, err := newThreadToken()
if err != nil {
return err
}
defer releaseThreadToken(token)
err = adjustPrivileges(token, privileges, SE_PRIVILEGE_ENABLED)
if err != nil {
return err
}
return fn()
}
func mapPrivileges(names []string) ([]uint64, error) {
var privileges []uint64
privNameMutex.Lock()
defer privNameMutex.Unlock()
for _, name := range names {
p, ok := privNames[name]
if !ok {
err := lookupPrivilegeValue("", name, &p)
if err != nil {
return nil, err
}
privNames[name] = p
}
privileges = append(privileges, p)
}
return privileges, nil
}
// EnableProcessPrivileges enables privileges globally for the process.
func EnableProcessPrivileges(names []string) error {
return enableDisableProcessPrivilege(names, SE_PRIVILEGE_ENABLED)
}
// DisableProcessPrivileges disables privileges globally for the process.
func DisableProcessPrivileges(names []string) error {
return enableDisableProcessPrivilege(names, 0)
}
func enableDisableProcessPrivilege(names []string, action uint32) error {
privileges, err := mapPrivileges(names)
if err != nil {
return err
}
p, _ := windows.GetCurrentProcess()
var token windows.Token
err = windows.OpenProcessToken(p, windows.TOKEN_ADJUST_PRIVILEGES|windows.TOKEN_QUERY, &token)
if err != nil {
return err
}
defer token.Close()
return adjustPrivileges(token, privileges, action)
}
func adjustPrivileges(token windows.Token, privileges []uint64, action uint32) error {
var b bytes.Buffer
binary.Write(&b, binary.LittleEndian, uint32(len(privileges)))
for _, p := range privileges {
binary.Write(&b, binary.LittleEndian, p)
binary.Write(&b, binary.LittleEndian, action)
}
prevState := make([]byte, b.Len())
reqSize := uint32(0)
success, err := adjustTokenPrivileges(token, false, &b.Bytes()[0], uint32(len(prevState)), &prevState[0], &reqSize)
if !success {
return err
}
if err == ERROR_NOT_ALL_ASSIGNED {
return &PrivilegeError{privileges}
}
return nil
}
func getPrivilegeName(luid uint64) string {
var nameBuffer [256]uint16
bufSize := uint32(len(nameBuffer))
err := lookupPrivilegeName("", &luid, &nameBuffer[0], &bufSize)
if err != nil {
return fmt.Sprintf("", luid)
}
var displayNameBuffer [256]uint16
displayBufSize := uint32(len(displayNameBuffer))
var langID uint32
err = lookupPrivilegeDisplayName("", &nameBuffer[0], &displayNameBuffer[0], &displayBufSize, &langID)
if err != nil {
return fmt.Sprintf("", string(utf16.Decode(nameBuffer[:bufSize])))
}
return string(utf16.Decode(displayNameBuffer[:displayBufSize]))
}
func newThreadToken() (windows.Token, error) {
err := impersonateSelf(securityImpersonation)
if err != nil {
return 0, err
}
var token windows.Token
err = openThreadToken(getCurrentThread(), syscall.TOKEN_ADJUST_PRIVILEGES|syscall.TOKEN_QUERY, false, &token)
if err != nil {
rerr := revertToSelf()
if rerr != nil {
panic(rerr)
}
return 0, err
}
return token, nil
}
func releaseThreadToken(h windows.Token) {
err := revertToSelf()
if err != nil {
panic(err)
}
h.Close()
}
================================================
FILE: evmcc/vendor/github.com/Microsoft/go-winio/reparse.go
================================================
package winio
import (
"bytes"
"encoding/binary"
"fmt"
"strings"
"unicode/utf16"
"unsafe"
)
const (
reparseTagMountPoint = 0xA0000003
reparseTagSymlink = 0xA000000C
)
type reparseDataBuffer struct {
ReparseTag uint32
ReparseDataLength uint16
Reserved uint16
SubstituteNameOffset uint16
SubstituteNameLength uint16
PrintNameOffset uint16
PrintNameLength uint16
}
// ReparsePoint describes a Win32 symlink or mount point.
type ReparsePoint struct {
Target string
IsMountPoint bool
}
// UnsupportedReparsePointError is returned when trying to decode a non-symlink or
// mount point reparse point.
type UnsupportedReparsePointError struct {
Tag uint32
}
func (e *UnsupportedReparsePointError) Error() string {
return fmt.Sprintf("unsupported reparse point %x", e.Tag)
}
// DecodeReparsePoint decodes a Win32 REPARSE_DATA_BUFFER structure containing either a symlink
// or a mount point.
func DecodeReparsePoint(b []byte) (*ReparsePoint, error) {
tag := binary.LittleEndian.Uint32(b[0:4])
return DecodeReparsePointData(tag, b[8:])
}
func DecodeReparsePointData(tag uint32, b []byte) (*ReparsePoint, error) {
isMountPoint := false
switch tag {
case reparseTagMountPoint:
isMountPoint = true
case reparseTagSymlink:
default:
return nil, &UnsupportedReparsePointError{tag}
}
nameOffset := 8 + binary.LittleEndian.Uint16(b[4:6])
if !isMountPoint {
nameOffset += 4
}
nameLength := binary.LittleEndian.Uint16(b[6:8])
name := make([]uint16, nameLength/2)
err := binary.Read(bytes.NewReader(b[nameOffset:nameOffset+nameLength]), binary.LittleEndian, &name)
if err != nil {
return nil, err
}
return &ReparsePoint{string(utf16.Decode(name)), isMountPoint}, nil
}
func isDriveLetter(c byte) bool {
return (c >= 'a' && c <= 'z') || (c >= 'A' && c <= 'Z')
}
// EncodeReparsePoint encodes a Win32 REPARSE_DATA_BUFFER structure describing a symlink or
// mount point.
func EncodeReparsePoint(rp *ReparsePoint) []byte {
// Generate an NT path and determine if this is a relative path.
var ntTarget string
relative := false
if strings.HasPrefix(rp.Target, `\\?\`) {
ntTarget = `\??\` + rp.Target[4:]
} else if strings.HasPrefix(rp.Target, `\\`) {
ntTarget = `\??\UNC\` + rp.Target[2:]
} else if len(rp.Target) >= 2 && isDriveLetter(rp.Target[0]) && rp.Target[1] == ':' {
ntTarget = `\??\` + rp.Target
} else {
ntTarget = rp.Target
relative = true
}
// The paths must be NUL-terminated even though they are counted strings.
target16 := utf16.Encode([]rune(rp.Target + "\x00"))
ntTarget16 := utf16.Encode([]rune(ntTarget + "\x00"))
size := int(unsafe.Sizeof(reparseDataBuffer{})) - 8
size += len(ntTarget16)*2 + len(target16)*2
tag := uint32(reparseTagMountPoint)
if !rp.IsMountPoint {
tag = reparseTagSymlink
size += 4 // Add room for symlink flags
}
data := reparseDataBuffer{
ReparseTag: tag,
ReparseDataLength: uint16(size),
SubstituteNameOffset: 0,
SubstituteNameLength: uint16((len(ntTarget16) - 1) * 2),
PrintNameOffset: uint16(len(ntTarget16) * 2),
PrintNameLength: uint16((len(target16) - 1) * 2),
}
var b bytes.Buffer
binary.Write(&b, binary.LittleEndian, &data)
if !rp.IsMountPoint {
flags := uint32(0)
if relative {
flags |= 1
}
binary.Write(&b, binary.LittleEndian, flags)
}
binary.Write(&b, binary.LittleEndian, ntTarget16)
binary.Write(&b, binary.LittleEndian, target16)
return b.Bytes()
}
================================================
FILE: evmcc/vendor/github.com/Microsoft/go-winio/sd.go
================================================
// +build windows
package winio
import (
"syscall"
"unsafe"
)
//sys lookupAccountName(systemName *uint16, accountName string, sid *byte, sidSize *uint32, refDomain *uint16, refDomainSize *uint32, sidNameUse *uint32) (err error) = advapi32.LookupAccountNameW
//sys convertSidToStringSid(sid *byte, str **uint16) (err error) = advapi32.ConvertSidToStringSidW
//sys convertStringSecurityDescriptorToSecurityDescriptor(str string, revision uint32, sd *uintptr, size *uint32) (err error) = advapi32.ConvertStringSecurityDescriptorToSecurityDescriptorW
//sys convertSecurityDescriptorToStringSecurityDescriptor(sd *byte, revision uint32, secInfo uint32, sddl **uint16, sddlSize *uint32) (err error) = advapi32.ConvertSecurityDescriptorToStringSecurityDescriptorW
//sys localFree(mem uintptr) = LocalFree
//sys getSecurityDescriptorLength(sd uintptr) (len uint32) = advapi32.GetSecurityDescriptorLength
const (
cERROR_NONE_MAPPED = syscall.Errno(1332)
)
type AccountLookupError struct {
Name string
Err error
}
func (e *AccountLookupError) Error() string {
if e.Name == "" {
return "lookup account: empty account name specified"
}
var s string
switch e.Err {
case cERROR_NONE_MAPPED:
s = "not found"
default:
s = e.Err.Error()
}
return "lookup account " + e.Name + ": " + s
}
type SddlConversionError struct {
Sddl string
Err error
}
func (e *SddlConversionError) Error() string {
return "convert " + e.Sddl + ": " + e.Err.Error()
}
// LookupSidByName looks up the SID of an account by name
func LookupSidByName(name string) (sid string, err error) {
if name == "" {
return "", &AccountLookupError{name, cERROR_NONE_MAPPED}
}
var sidSize, sidNameUse, refDomainSize uint32
err = lookupAccountName(nil, name, nil, &sidSize, nil, &refDomainSize, &sidNameUse)
if err != nil && err != syscall.ERROR_INSUFFICIENT_BUFFER {
return "", &AccountLookupError{name, err}
}
sidBuffer := make([]byte, sidSize)
refDomainBuffer := make([]uint16, refDomainSize)
err = lookupAccountName(nil, name, &sidBuffer[0], &sidSize, &refDomainBuffer[0], &refDomainSize, &sidNameUse)
if err != nil {
return "", &AccountLookupError{name, err}
}
var strBuffer *uint16
err = convertSidToStringSid(&sidBuffer[0], &strBuffer)
if err != nil {
return "", &AccountLookupError{name, err}
}
sid = syscall.UTF16ToString((*[0xffff]uint16)(unsafe.Pointer(strBuffer))[:])
localFree(uintptr(unsafe.Pointer(strBuffer)))
return sid, nil
}
func SddlToSecurityDescriptor(sddl string) ([]byte, error) {
var sdBuffer uintptr
err := convertStringSecurityDescriptorToSecurityDescriptor(sddl, 1, &sdBuffer, nil)
if err != nil {
return nil, &SddlConversionError{sddl, err}
}
defer localFree(sdBuffer)
sd := make([]byte, getSecurityDescriptorLength(sdBuffer))
copy(sd, (*[0xffff]byte)(unsafe.Pointer(sdBuffer))[:len(sd)])
return sd, nil
}
func SecurityDescriptorToSddl(sd []byte) (string, error) {
var sddl *uint16
// The returned string length seems to including an aribtrary number of terminating NULs.
// Don't use it.
err := convertSecurityDescriptorToStringSecurityDescriptor(&sd[0], 1, 0xff, &sddl, nil)
if err != nil {
return "", err
}
defer localFree(uintptr(unsafe.Pointer(sddl)))
return syscall.UTF16ToString((*[0xffff]uint16)(unsafe.Pointer(sddl))[:]), nil
}
================================================
FILE: evmcc/vendor/github.com/Microsoft/go-winio/syscall.go
================================================
package winio
//go:generate go run $GOROOT/src/syscall/mksyscall_windows.go -output zsyscall_windows.go file.go pipe.go sd.go fileinfo.go privilege.go backup.go
================================================
FILE: evmcc/vendor/github.com/Microsoft/go-winio/zsyscall_windows.go
================================================
// MACHINE GENERATED BY 'go generate' COMMAND; DO NOT EDIT
package winio
import (
"syscall"
"unsafe"
"golang.org/x/sys/windows"
)
var _ unsafe.Pointer
// Do the interface allocations only once for common
// Errno values.
const (
errnoERROR_IO_PENDING = 997
)
var (
errERROR_IO_PENDING error = syscall.Errno(errnoERROR_IO_PENDING)
)
// errnoErr returns common boxed Errno values, to prevent
// allocations at runtime.
func errnoErr(e syscall.Errno) error {
switch e {
case 0:
return nil
case errnoERROR_IO_PENDING:
return errERROR_IO_PENDING
}
// TODO: add more here, after collecting data on the common
// error values see on Windows. (perhaps when running
// all.bat?)
return e
}
var (
modkernel32 = windows.NewLazySystemDLL("kernel32.dll")
modadvapi32 = windows.NewLazySystemDLL("advapi32.dll")
procCancelIoEx = modkernel32.NewProc("CancelIoEx")
procCreateIoCompletionPort = modkernel32.NewProc("CreateIoCompletionPort")
procGetQueuedCompletionStatus = modkernel32.NewProc("GetQueuedCompletionStatus")
procSetFileCompletionNotificationModes = modkernel32.NewProc("SetFileCompletionNotificationModes")
procConnectNamedPipe = modkernel32.NewProc("ConnectNamedPipe")
procCreateNamedPipeW = modkernel32.NewProc("CreateNamedPipeW")
procCreateFileW = modkernel32.NewProc("CreateFileW")
procWaitNamedPipeW = modkernel32.NewProc("WaitNamedPipeW")
procGetNamedPipeInfo = modkernel32.NewProc("GetNamedPipeInfo")
procGetNamedPipeHandleStateW = modkernel32.NewProc("GetNamedPipeHandleStateW")
procLocalAlloc = modkernel32.NewProc("LocalAlloc")
procLookupAccountNameW = modadvapi32.NewProc("LookupAccountNameW")
procConvertSidToStringSidW = modadvapi32.NewProc("ConvertSidToStringSidW")
procConvertStringSecurityDescriptorToSecurityDescriptorW = modadvapi32.NewProc("ConvertStringSecurityDescriptorToSecurityDescriptorW")
procConvertSecurityDescriptorToStringSecurityDescriptorW = modadvapi32.NewProc("ConvertSecurityDescriptorToStringSecurityDescriptorW")
procLocalFree = modkernel32.NewProc("LocalFree")
procGetSecurityDescriptorLength = modadvapi32.NewProc("GetSecurityDescriptorLength")
procGetFileInformationByHandleEx = modkernel32.NewProc("GetFileInformationByHandleEx")
procSetFileInformationByHandle = modkernel32.NewProc("SetFileInformationByHandle")
procAdjustTokenPrivileges = modadvapi32.NewProc("AdjustTokenPrivileges")
procImpersonateSelf = modadvapi32.NewProc("ImpersonateSelf")
procRevertToSelf = modadvapi32.NewProc("RevertToSelf")
procOpenThreadToken = modadvapi32.NewProc("OpenThreadToken")
procGetCurrentThread = modkernel32.NewProc("GetCurrentThread")
procLookupPrivilegeValueW = modadvapi32.NewProc("LookupPrivilegeValueW")
procLookupPrivilegeNameW = modadvapi32.NewProc("LookupPrivilegeNameW")
procLookupPrivilegeDisplayNameW = modadvapi32.NewProc("LookupPrivilegeDisplayNameW")
procBackupRead = modkernel32.NewProc("BackupRead")
procBackupWrite = modkernel32.NewProc("BackupWrite")
)
func cancelIoEx(file syscall.Handle, o *syscall.Overlapped) (err error) {
r1, _, e1 := syscall.Syscall(procCancelIoEx.Addr(), 2, uintptr(file), uintptr(unsafe.Pointer(o)), 0)
if r1 == 0 {
if e1 != 0 {
err = errnoErr(e1)
} else {
err = syscall.EINVAL
}
}
return
}
func createIoCompletionPort(file syscall.Handle, port syscall.Handle, key uintptr, threadCount uint32) (newport syscall.Handle, err error) {
r0, _, e1 := syscall.Syscall6(procCreateIoCompletionPort.Addr(), 4, uintptr(file), uintptr(port), uintptr(key), uintptr(threadCount), 0, 0)
newport = syscall.Handle(r0)
if newport == 0 {
if e1 != 0 {
err = errnoErr(e1)
} else {
err = syscall.EINVAL
}
}
return
}
func getQueuedCompletionStatus(port syscall.Handle, bytes *uint32, key *uintptr, o **ioOperation, timeout uint32) (err error) {
r1, _, e1 := syscall.Syscall6(procGetQueuedCompletionStatus.Addr(), 5, uintptr(port), uintptr(unsafe.Pointer(bytes)), uintptr(unsafe.Pointer(key)), uintptr(unsafe.Pointer(o)), uintptr(timeout), 0)
if r1 == 0 {
if e1 != 0 {
err = errnoErr(e1)
} else {
err = syscall.EINVAL
}
}
return
}
func setFileCompletionNotificationModes(h syscall.Handle, flags uint8) (err error) {
r1, _, e1 := syscall.Syscall(procSetFileCompletionNotificationModes.Addr(), 2, uintptr(h), uintptr(flags), 0)
if r1 == 0 {
if e1 != 0 {
err = errnoErr(e1)
} else {
err = syscall.EINVAL
}
}
return
}
func connectNamedPipe(pipe syscall.Handle, o *syscall.Overlapped) (err error) {
r1, _, e1 := syscall.Syscall(procConnectNamedPipe.Addr(), 2, uintptr(pipe), uintptr(unsafe.Pointer(o)), 0)
if r1 == 0 {
if e1 != 0 {
err = errnoErr(e1)
} else {
err = syscall.EINVAL
}
}
return
}
func createNamedPipe(name string, flags uint32, pipeMode uint32, maxInstances uint32, outSize uint32, inSize uint32, defaultTimeout uint32, sa *syscall.SecurityAttributes) (handle syscall.Handle, err error) {
var _p0 *uint16
_p0, err = syscall.UTF16PtrFromString(name)
if err != nil {
return
}
return _createNamedPipe(_p0, flags, pipeMode, maxInstances, outSize, inSize, defaultTimeout, sa)
}
func _createNamedPipe(name *uint16, flags uint32, pipeMode uint32, maxInstances uint32, outSize uint32, inSize uint32, defaultTimeout uint32, sa *syscall.SecurityAttributes) (handle syscall.Handle, err error) {
r0, _, e1 := syscall.Syscall9(procCreateNamedPipeW.Addr(), 8, uintptr(unsafe.Pointer(name)), uintptr(flags), uintptr(pipeMode), uintptr(maxInstances), uintptr(outSize), uintptr(inSize), uintptr(defaultTimeout), uintptr(unsafe.Pointer(sa)), 0)
handle = syscall.Handle(r0)
if handle == syscall.InvalidHandle {
if e1 != 0 {
err = errnoErr(e1)
} else {
err = syscall.EINVAL
}
}
return
}
func createFile(name string, access uint32, mode uint32, sa *syscall.SecurityAttributes, createmode uint32, attrs uint32, templatefile syscall.Handle) (handle syscall.Handle, err error) {
var _p0 *uint16
_p0, err = syscall.UTF16PtrFromString(name)
if err != nil {
return
}
return _createFile(_p0, access, mode, sa, createmode, attrs, templatefile)
}
func _createFile(name *uint16, access uint32, mode uint32, sa *syscall.SecurityAttributes, createmode uint32, attrs uint32, templatefile syscall.Handle) (handle syscall.Handle, err error) {
r0, _, e1 := syscall.Syscall9(procCreateFileW.Addr(), 7, uintptr(unsafe.Pointer(name)), uintptr(access), uintptr(mode), uintptr(unsafe.Pointer(sa)), uintptr(createmode), uintptr(attrs), uintptr(templatefile), 0, 0)
handle = syscall.Handle(r0)
if handle == syscall.InvalidHandle {
if e1 != 0 {
err = errnoErr(e1)
} else {
err = syscall.EINVAL
}
}
return
}
func waitNamedPipe(name string, timeout uint32) (err error) {
var _p0 *uint16
_p0, err = syscall.UTF16PtrFromString(name)
if err != nil {
return
}
return _waitNamedPipe(_p0, timeout)
}
func _waitNamedPipe(name *uint16, timeout uint32) (err error) {
r1, _, e1 := syscall.Syscall(procWaitNamedPipeW.Addr(), 2, uintptr(unsafe.Pointer(name)), uintptr(timeout), 0)
if r1 == 0 {
if e1 != 0 {
err = errnoErr(e1)
} else {
err = syscall.EINVAL
}
}
return
}
func getNamedPipeInfo(pipe syscall.Handle, flags *uint32, outSize *uint32, inSize *uint32, maxInstances *uint32) (err error) {
r1, _, e1 := syscall.Syscall6(procGetNamedPipeInfo.Addr(), 5, uintptr(pipe), uintptr(unsafe.Pointer(flags)), uintptr(unsafe.Pointer(outSize)), uintptr(unsafe.Pointer(inSize)), uintptr(unsafe.Pointer(maxInstances)), 0)
if r1 == 0 {
if e1 != 0 {
err = errnoErr(e1)
} else {
err = syscall.EINVAL
}
}
return
}
func getNamedPipeHandleState(pipe syscall.Handle, state *uint32, curInstances *uint32, maxCollectionCount *uint32, collectDataTimeout *uint32, userName *uint16, maxUserNameSize uint32) (err error) {
r1, _, e1 := syscall.Syscall9(procGetNamedPipeHandleStateW.Addr(), 7, uintptr(pipe), uintptr(unsafe.Pointer(state)), uintptr(unsafe.Pointer(curInstances)), uintptr(unsafe.Pointer(maxCollectionCount)), uintptr(unsafe.Pointer(collectDataTimeout)), uintptr(unsafe.Pointer(userName)), uintptr(maxUserNameSize), 0, 0)
if r1 == 0 {
if e1 != 0 {
err = errnoErr(e1)
} else {
err = syscall.EINVAL
}
}
return
}
func localAlloc(uFlags uint32, length uint32) (ptr uintptr) {
r0, _, _ := syscall.Syscall(procLocalAlloc.Addr(), 2, uintptr(uFlags), uintptr(length), 0)
ptr = uintptr(r0)
return
}
func lookupAccountName(systemName *uint16, accountName string, sid *byte, sidSize *uint32, refDomain *uint16, refDomainSize *uint32, sidNameUse *uint32) (err error) {
var _p0 *uint16
_p0, err = syscall.UTF16PtrFromString(accountName)
if err != nil {
return
}
return _lookupAccountName(systemName, _p0, sid, sidSize, refDomain, refDomainSize, sidNameUse)
}
func _lookupAccountName(systemName *uint16, accountName *uint16, sid *byte, sidSize *uint32, refDomain *uint16, refDomainSize *uint32, sidNameUse *uint32) (err error) {
r1, _, e1 := syscall.Syscall9(procLookupAccountNameW.Addr(), 7, uintptr(unsafe.Pointer(systemName)), uintptr(unsafe.Pointer(accountName)), uintptr(unsafe.Pointer(sid)), uintptr(unsafe.Pointer(sidSize)), uintptr(unsafe.Pointer(refDomain)), uintptr(unsafe.Pointer(refDomainSize)), uintptr(unsafe.Pointer(sidNameUse)), 0, 0)
if r1 == 0 {
if e1 != 0 {
err = errnoErr(e1)
} else {
err = syscall.EINVAL
}
}
return
}
func convertSidToStringSid(sid *byte, str **uint16) (err error) {
r1, _, e1 := syscall.Syscall(procConvertSidToStringSidW.Addr(), 2, uintptr(unsafe.Pointer(sid)), uintptr(unsafe.Pointer(str)), 0)
if r1 == 0 {
if e1 != 0 {
err = errnoErr(e1)
} else {
err = syscall.EINVAL
}
}
return
}
func convertStringSecurityDescriptorToSecurityDescriptor(str string, revision uint32, sd *uintptr, size *uint32) (err error) {
var _p0 *uint16
_p0, err = syscall.UTF16PtrFromString(str)
if err != nil {
return
}
return _convertStringSecurityDescriptorToSecurityDescriptor(_p0, revision, sd, size)
}
func _convertStringSecurityDescriptorToSecurityDescriptor(str *uint16, revision uint32, sd *uintptr, size *uint32) (err error) {
r1, _, e1 := syscall.Syscall6(procConvertStringSecurityDescriptorToSecurityDescriptorW.Addr(), 4, uintptr(unsafe.Pointer(str)), uintptr(revision), uintptr(unsafe.Pointer(sd)), uintptr(unsafe.Pointer(size)), 0, 0)
if r1 == 0 {
if e1 != 0 {
err = errnoErr(e1)
} else {
err = syscall.EINVAL
}
}
return
}
func convertSecurityDescriptorToStringSecurityDescriptor(sd *byte, revision uint32, secInfo uint32, sddl **uint16, sddlSize *uint32) (err error) {
r1, _, e1 := syscall.Syscall6(procConvertSecurityDescriptorToStringSecurityDescriptorW.Addr(), 5, uintptr(unsafe.Pointer(sd)), uintptr(revision), uintptr(secInfo), uintptr(unsafe.Pointer(sddl)), uintptr(unsafe.Pointer(sddlSize)), 0)
if r1 == 0 {
if e1 != 0 {
err = errnoErr(e1)
} else {
err = syscall.EINVAL
}
}
return
}
func localFree(mem uintptr) {
syscall.Syscall(procLocalFree.Addr(), 1, uintptr(mem), 0, 0)
return
}
func getSecurityDescriptorLength(sd uintptr) (len uint32) {
r0, _, _ := syscall.Syscall(procGetSecurityDescriptorLength.Addr(), 1, uintptr(sd), 0, 0)
len = uint32(r0)
return
}
func getFileInformationByHandleEx(h syscall.Handle, class uint32, buffer *byte, size uint32) (err error) {
r1, _, e1 := syscall.Syscall6(procGetFileInformationByHandleEx.Addr(), 4, uintptr(h), uintptr(class), uintptr(unsafe.Pointer(buffer)), uintptr(size), 0, 0)
if r1 == 0 {
if e1 != 0 {
err = errnoErr(e1)
} else {
err = syscall.EINVAL
}
}
return
}
func setFileInformationByHandle(h syscall.Handle, class uint32, buffer *byte, size uint32) (err error) {
r1, _, e1 := syscall.Syscall6(procSetFileInformationByHandle.Addr(), 4, uintptr(h), uintptr(class), uintptr(unsafe.Pointer(buffer)), uintptr(size), 0, 0)
if r1 == 0 {
if e1 != 0 {
err = errnoErr(e1)
} else {
err = syscall.EINVAL
}
}
return
}
func adjustTokenPrivileges(token windows.Token, releaseAll bool, input *byte, outputSize uint32, output *byte, requiredSize *uint32) (success bool, err error) {
var _p0 uint32
if releaseAll {
_p0 = 1
} else {
_p0 = 0
}
r0, _, e1 := syscall.Syscall6(procAdjustTokenPrivileges.Addr(), 6, uintptr(token), uintptr(_p0), uintptr(unsafe.Pointer(input)), uintptr(outputSize), uintptr(unsafe.Pointer(output)), uintptr(unsafe.Pointer(requiredSize)))
success = r0 != 0
if true {
if e1 != 0 {
err = errnoErr(e1)
} else {
err = syscall.EINVAL
}
}
return
}
func impersonateSelf(level uint32) (err error) {
r1, _, e1 := syscall.Syscall(procImpersonateSelf.Addr(), 1, uintptr(level), 0, 0)
if r1 == 0 {
if e1 != 0 {
err = errnoErr(e1)
} else {
err = syscall.EINVAL
}
}
return
}
func revertToSelf() (err error) {
r1, _, e1 := syscall.Syscall(procRevertToSelf.Addr(), 0, 0, 0, 0)
if r1 == 0 {
if e1 != 0 {
err = errnoErr(e1)
} else {
err = syscall.EINVAL
}
}
return
}
func openThreadToken(thread syscall.Handle, accessMask uint32, openAsSelf bool, token *windows.Token) (err error) {
var _p0 uint32
if openAsSelf {
_p0 = 1
} else {
_p0 = 0
}
r1, _, e1 := syscall.Syscall6(procOpenThreadToken.Addr(), 4, uintptr(thread), uintptr(accessMask), uintptr(_p0), uintptr(unsafe.Pointer(token)), 0, 0)
if r1 == 0 {
if e1 != 0 {
err = errnoErr(e1)
} else {
err = syscall.EINVAL
}
}
return
}
func getCurrentThread() (h syscall.Handle) {
r0, _, _ := syscall.Syscall(procGetCurrentThread.Addr(), 0, 0, 0, 0)
h = syscall.Handle(r0)
return
}
func lookupPrivilegeValue(systemName string, name string, luid *uint64) (err error) {
var _p0 *uint16
_p0, err = syscall.UTF16PtrFromString(systemName)
if err != nil {
return
}
var _p1 *uint16
_p1, err = syscall.UTF16PtrFromString(name)
if err != nil {
return
}
return _lookupPrivilegeValue(_p0, _p1, luid)
}
func _lookupPrivilegeValue(systemName *uint16, name *uint16, luid *uint64) (err error) {
r1, _, e1 := syscall.Syscall(procLookupPrivilegeValueW.Addr(), 3, uintptr(unsafe.Pointer(systemName)), uintptr(unsafe.Pointer(name)), uintptr(unsafe.Pointer(luid)))
if r1 == 0 {
if e1 != 0 {
err = errnoErr(e1)
} else {
err = syscall.EINVAL
}
}
return
}
func lookupPrivilegeName(systemName string, luid *uint64, buffer *uint16, size *uint32) (err error) {
var _p0 *uint16
_p0, err = syscall.UTF16PtrFromString(systemName)
if err != nil {
return
}
return _lookupPrivilegeName(_p0, luid, buffer, size)
}
func _lookupPrivilegeName(systemName *uint16, luid *uint64, buffer *uint16, size *uint32) (err error) {
r1, _, e1 := syscall.Syscall6(procLookupPrivilegeNameW.Addr(), 4, uintptr(unsafe.Pointer(systemName)), uintptr(unsafe.Pointer(luid)), uintptr(unsafe.Pointer(buffer)), uintptr(unsafe.Pointer(size)), 0, 0)
if r1 == 0 {
if e1 != 0 {
err = errnoErr(e1)
} else {
err = syscall.EINVAL
}
}
return
}
func lookupPrivilegeDisplayName(systemName string, name *uint16, buffer *uint16, size *uint32, languageId *uint32) (err error) {
var _p0 *uint16
_p0, err = syscall.UTF16PtrFromString(systemName)
if err != nil {
return
}
return _lookupPrivilegeDisplayName(_p0, name, buffer, size, languageId)
}
func _lookupPrivilegeDisplayName(systemName *uint16, name *uint16, buffer *uint16, size *uint32, languageId *uint32) (err error) {
r1, _, e1 := syscall.Syscall6(procLookupPrivilegeDisplayNameW.Addr(), 5, uintptr(unsafe.Pointer(systemName)), uintptr(unsafe.Pointer(name)), uintptr(unsafe.Pointer(buffer)), uintptr(unsafe.Pointer(size)), uintptr(unsafe.Pointer(languageId)), 0)
if r1 == 0 {
if e1 != 0 {
err = errnoErr(e1)
} else {
err = syscall.EINVAL
}
}
return
}
func backupRead(h syscall.Handle, b []byte, bytesRead *uint32, abort bool, processSecurity bool, context *uintptr) (err error) {
var _p0 *byte
if len(b) > 0 {
_p0 = &b[0]
}
var _p1 uint32
if abort {
_p1 = 1
} else {
_p1 = 0
}
var _p2 uint32
if processSecurity {
_p2 = 1
} else {
_p2 = 0
}
r1, _, e1 := syscall.Syscall9(procBackupRead.Addr(), 7, uintptr(h), uintptr(unsafe.Pointer(_p0)), uintptr(len(b)), uintptr(unsafe.Pointer(bytesRead)), uintptr(_p1), uintptr(_p2), uintptr(unsafe.Pointer(context)), 0, 0)
if r1 == 0 {
if e1 != 0 {
err = errnoErr(e1)
} else {
err = syscall.EINVAL
}
}
return
}
func backupWrite(h syscall.Handle, b []byte, bytesWritten *uint32, abort bool, processSecurity bool, context *uintptr) (err error) {
var _p0 *byte
if len(b) > 0 {
_p0 = &b[0]
}
var _p1 uint32
if abort {
_p1 = 1
} else {
_p1 = 0
}
var _p2 uint32
if processSecurity {
_p2 = 1
} else {
_p2 = 0
}
r1, _, e1 := syscall.Syscall9(procBackupWrite.Addr(), 7, uintptr(h), uintptr(unsafe.Pointer(_p0)), uintptr(len(b)), uintptr(unsafe.Pointer(bytesWritten)), uintptr(_p1), uintptr(_p2), uintptr(unsafe.Pointer(context)), 0, 0)
if r1 == 0 {
if e1 != 0 {
err = errnoErr(e1)
} else {
err = syscall.EINVAL
}
}
return
}
================================================
FILE: evmcc/vendor/github.com/Nvveen/Gotty/LICENSE
================================================
Copyright (c) 2012, Neal van Veen (nealvanveen@gmail.com)
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
The views and conclusions contained in the software and documentation are those
of the authors and should not be interpreted as representing official policies,
either expressed or implied, of the FreeBSD Project.
================================================
FILE: evmcc/vendor/github.com/Nvveen/Gotty/README
================================================
Gotty is a library written in Go that determines and reads termcap database
files to produce an interface for interacting with the capabilities of a
terminal.
See the godoc documentation or the source code for more information about
function usage.
================================================
FILE: evmcc/vendor/github.com/Nvveen/Gotty/TODO
================================================
gotty.go:// TODO add more concurrency to name lookup, look for more opportunities.
all:// TODO add more documentation, with function usage in a doc.go file.
all:// TODO add more testing/benchmarking with go test.
================================================
FILE: evmcc/vendor/github.com/Nvveen/Gotty/attributes.go
================================================
// Copyright 2012 Neal van Veen. All rights reserved.
// Usage of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
package gotty
// Boolean capabilities
var BoolAttr = [...]string{
"auto_left_margin", "bw",
"auto_right_margin", "am",
"no_esc_ctlc", "xsb",
"ceol_standout_glitch", "xhp",
"eat_newline_glitch", "xenl",
"erase_overstrike", "eo",
"generic_type", "gn",
"hard_copy", "hc",
"has_meta_key", "km",
"has_status_line", "hs",
"insert_null_glitch", "in",
"memory_above", "da",
"memory_below", "db",
"move_insert_mode", "mir",
"move_standout_mode", "msgr",
"over_strike", "os",
"status_line_esc_ok", "eslok",
"dest_tabs_magic_smso", "xt",
"tilde_glitch", "hz",
"transparent_underline", "ul",
"xon_xoff", "nxon",
"needs_xon_xoff", "nxon",
"prtr_silent", "mc5i",
"hard_cursor", "chts",
"non_rev_rmcup", "nrrmc",
"no_pad_char", "npc",
"non_dest_scroll_region", "ndscr",
"can_change", "ccc",
"back_color_erase", "bce",
"hue_lightness_saturation", "hls",
"col_addr_glitch", "xhpa",
"cr_cancels_micro_mode", "crxm",
"has_print_wheel", "daisy",
"row_addr_glitch", "xvpa",
"semi_auto_right_margin", "sam",
"cpi_changes_res", "cpix",
"lpi_changes_res", "lpix",
"backspaces_with_bs", "",
"crt_no_scrolling", "",
"no_correctly_working_cr", "",
"gnu_has_meta_key", "",
"linefeed_is_newline", "",
"has_hardware_tabs", "",
"return_does_clr_eol", "",
}
// Numerical capabilities
var NumAttr = [...]string{
"columns", "cols",
"init_tabs", "it",
"lines", "lines",
"lines_of_memory", "lm",
"magic_cookie_glitch", "xmc",
"padding_baud_rate", "pb",
"virtual_terminal", "vt",
"width_status_line", "wsl",
"num_labels", "nlab",
"label_height", "lh",
"label_width", "lw",
"max_attributes", "ma",
"maximum_windows", "wnum",
"max_colors", "colors",
"max_pairs", "pairs",
"no_color_video", "ncv",
"buffer_capacity", "bufsz",
"dot_vert_spacing", "spinv",
"dot_horz_spacing", "spinh",
"max_micro_address", "maddr",
"max_micro_jump", "mjump",
"micro_col_size", "mcs",
"micro_line_size", "mls",
"number_of_pins", "npins",
"output_res_char", "orc",
"output_res_line", "orl",
"output_res_horz_inch", "orhi",
"output_res_vert_inch", "orvi",
"print_rate", "cps",
"wide_char_size", "widcs",
"buttons", "btns",
"bit_image_entwining", "bitwin",
"bit_image_type", "bitype",
"magic_cookie_glitch_ul", "",
"carriage_return_delay", "",
"new_line_delay", "",
"backspace_delay", "",
"horizontal_tab_delay", "",
"number_of_function_keys", "",
}
// String capabilities
var StrAttr = [...]string{
"back_tab", "cbt",
"bell", "bel",
"carriage_return", "cr",
"change_scroll_region", "csr",
"clear_all_tabs", "tbc",
"clear_screen", "clear",
"clr_eol", "el",
"clr_eos", "ed",
"column_address", "hpa",
"command_character", "cmdch",
"cursor_address", "cup",
"cursor_down", "cud1",
"cursor_home", "home",
"cursor_invisible", "civis",
"cursor_left", "cub1",
"cursor_mem_address", "mrcup",
"cursor_normal", "cnorm",
"cursor_right", "cuf1",
"cursor_to_ll", "ll",
"cursor_up", "cuu1",
"cursor_visible", "cvvis",
"delete_character", "dch1",
"delete_line", "dl1",
"dis_status_line", "dsl",
"down_half_line", "hd",
"enter_alt_charset_mode", "smacs",
"enter_blink_mode", "blink",
"enter_bold_mode", "bold",
"enter_ca_mode", "smcup",
"enter_delete_mode", "smdc",
"enter_dim_mode", "dim",
"enter_insert_mode", "smir",
"enter_secure_mode", "invis",
"enter_protected_mode", "prot",
"enter_reverse_mode", "rev",
"enter_standout_mode", "smso",
"enter_underline_mode", "smul",
"erase_chars", "ech",
"exit_alt_charset_mode", "rmacs",
"exit_attribute_mode", "sgr0",
"exit_ca_mode", "rmcup",
"exit_delete_mode", "rmdc",
"exit_insert_mode", "rmir",
"exit_standout_mode", "rmso",
"exit_underline_mode", "rmul",
"flash_screen", "flash",
"form_feed", "ff",
"from_status_line", "fsl",
"init_1string", "is1",
"init_2string", "is2",
"init_3string", "is3",
"init_file", "if",
"insert_character", "ich1",
"insert_line", "il1",
"insert_padding", "ip",
"key_backspace", "kbs",
"key_catab", "ktbc",
"key_clear", "kclr",
"key_ctab", "kctab",
"key_dc", "kdch1",
"key_dl", "kdl1",
"key_down", "kcud1",
"key_eic", "krmir",
"key_eol", "kel",
"key_eos", "ked",
"key_f0", "kf0",
"key_f1", "kf1",
"key_f10", "kf10",
"key_f2", "kf2",
"key_f3", "kf3",
"key_f4", "kf4",
"key_f5", "kf5",
"key_f6", "kf6",
"key_f7", "kf7",
"key_f8", "kf8",
"key_f9", "kf9",
"key_home", "khome",
"key_ic", "kich1",
"key_il", "kil1",
"key_left", "kcub1",
"key_ll", "kll",
"key_npage", "knp",
"key_ppage", "kpp",
"key_right", "kcuf1",
"key_sf", "kind",
"key_sr", "kri",
"key_stab", "khts",
"key_up", "kcuu1",
"keypad_local", "rmkx",
"keypad_xmit", "smkx",
"lab_f0", "lf0",
"lab_f1", "lf1",
"lab_f10", "lf10",
"lab_f2", "lf2",
"lab_f3", "lf3",
"lab_f4", "lf4",
"lab_f5", "lf5",
"lab_f6", "lf6",
"lab_f7", "lf7",
"lab_f8", "lf8",
"lab_f9", "lf9",
"meta_off", "rmm",
"meta_on", "smm",
"newline", "_glitch",
"pad_char", "npc",
"parm_dch", "dch",
"parm_delete_line", "dl",
"parm_down_cursor", "cud",
"parm_ich", "ich",
"parm_index", "indn",
"parm_insert_line", "il",
"parm_left_cursor", "cub",
"parm_right_cursor", "cuf",
"parm_rindex", "rin",
"parm_up_cursor", "cuu",
"pkey_key", "pfkey",
"pkey_local", "pfloc",
"pkey_xmit", "pfx",
"print_screen", "mc0",
"prtr_off", "mc4",
"prtr_on", "mc5",
"repeat_char", "rep",
"reset_1string", "rs1",
"reset_2string", "rs2",
"reset_3string", "rs3",
"reset_file", "rf",
"restore_cursor", "rc",
"row_address", "mvpa",
"save_cursor", "row_address",
"scroll_forward", "ind",
"scroll_reverse", "ri",
"set_attributes", "sgr",
"set_tab", "hts",
"set_window", "wind",
"tab", "s_magic_smso",
"to_status_line", "tsl",
"underline_char", "uc",
"up_half_line", "hu",
"init_prog", "iprog",
"key_a1", "ka1",
"key_a3", "ka3",
"key_b2", "kb2",
"key_c1", "kc1",
"key_c3", "kc3",
"prtr_non", "mc5p",
"char_padding", "rmp",
"acs_chars", "acsc",
"plab_norm", "pln",
"key_btab", "kcbt",
"enter_xon_mode", "smxon",
"exit_xon_mode", "rmxon",
"enter_am_mode", "smam",
"exit_am_mode", "rmam",
"xon_character", "xonc",
"xoff_character", "xoffc",
"ena_acs", "enacs",
"label_on", "smln",
"label_off", "rmln",
"key_beg", "kbeg",
"key_cancel", "kcan",
"key_close", "kclo",
"key_command", "kcmd",
"key_copy", "kcpy",
"key_create", "kcrt",
"key_end", "kend",
"key_enter", "kent",
"key_exit", "kext",
"key_find", "kfnd",
"key_help", "khlp",
"key_mark", "kmrk",
"key_message", "kmsg",
"key_move", "kmov",
"key_next", "knxt",
"key_open", "kopn",
"key_options", "kopt",
"key_previous", "kprv",
"key_print", "kprt",
"key_redo", "krdo",
"key_reference", "kref",
"key_refresh", "krfr",
"key_replace", "krpl",
"key_restart", "krst",
"key_resume", "kres",
"key_save", "ksav",
"key_suspend", "kspd",
"key_undo", "kund",
"key_sbeg", "kBEG",
"key_scancel", "kCAN",
"key_scommand", "kCMD",
"key_scopy", "kCPY",
"key_screate", "kCRT",
"key_sdc", "kDC",
"key_sdl", "kDL",
"key_select", "kslt",
"key_send", "kEND",
"key_seol", "kEOL",
"key_sexit", "kEXT",
"key_sfind", "kFND",
"key_shelp", "kHLP",
"key_shome", "kHOM",
"key_sic", "kIC",
"key_sleft", "kLFT",
"key_smessage", "kMSG",
"key_smove", "kMOV",
"key_snext", "kNXT",
"key_soptions", "kOPT",
"key_sprevious", "kPRV",
"key_sprint", "kPRT",
"key_sredo", "kRDO",
"key_sreplace", "kRPL",
"key_sright", "kRIT",
"key_srsume", "kRES",
"key_ssave", "kSAV",
"key_ssuspend", "kSPD",
"key_sundo", "kUND",
"req_for_input", "rfi",
"key_f11", "kf11",
"key_f12", "kf12",
"key_f13", "kf13",
"key_f14", "kf14",
"key_f15", "kf15",
"key_f16", "kf16",
"key_f17", "kf17",
"key_f18", "kf18",
"key_f19", "kf19",
"key_f20", "kf20",
"key_f21", "kf21",
"key_f22", "kf22",
"key_f23", "kf23",
"key_f24", "kf24",
"key_f25", "kf25",
"key_f26", "kf26",
"key_f27", "kf27",
"key_f28", "kf28",
"key_f29", "kf29",
"key_f30", "kf30",
"key_f31", "kf31",
"key_f32", "kf32",
"key_f33", "kf33",
"key_f34", "kf34",
"key_f35", "kf35",
"key_f36", "kf36",
"key_f37", "kf37",
"key_f38", "kf38",
"key_f39", "kf39",
"key_f40", "kf40",
"key_f41", "kf41",
"key_f42", "kf42",
"key_f43", "kf43",
"key_f44", "kf44",
"key_f45", "kf45",
"key_f46", "kf46",
"key_f47", "kf47",
"key_f48", "kf48",
"key_f49", "kf49",
"key_f50", "kf50",
"key_f51", "kf51",
"key_f52", "kf52",
"key_f53", "kf53",
"key_f54", "kf54",
"key_f55", "kf55",
"key_f56", "kf56",
"key_f57", "kf57",
"key_f58", "kf58",
"key_f59", "kf59",
"key_f60", "kf60",
"key_f61", "kf61",
"key_f62", "kf62",
"key_f63", "kf63",
"clr_bol", "el1",
"clear_margins", "mgc",
"set_left_margin", "smgl",
"set_right_margin", "smgr",
"label_format", "fln",
"set_clock", "sclk",
"display_clock", "dclk",
"remove_clock", "rmclk",
"create_window", "cwin",
"goto_window", "wingo",
"hangup", "hup",
"dial_phone", "dial",
"quick_dial", "qdial",
"tone", "tone",
"pulse", "pulse",
"flash_hook", "hook",
"fixed_pause", "pause",
"wait_tone", "wait",
"user0", "u0",
"user1", "u1",
"user2", "u2",
"user3", "u3",
"user4", "u4",
"user5", "u5",
"user6", "u6",
"user7", "u7",
"user8", "u8",
"user9", "u9",
"orig_pair", "op",
"orig_colors", "oc",
"initialize_color", "initc",
"initialize_pair", "initp",
"set_color_pair", "scp",
"set_foreground", "setf",
"set_background", "setb",
"change_char_pitch", "cpi",
"change_line_pitch", "lpi",
"change_res_horz", "chr",
"change_res_vert", "cvr",
"define_char", "defc",
"enter_doublewide_mode", "swidm",
"enter_draft_quality", "sdrfq",
"enter_italics_mode", "sitm",
"enter_leftward_mode", "slm",
"enter_micro_mode", "smicm",
"enter_near_letter_quality", "snlq",
"enter_normal_quality", "snrmq",
"enter_shadow_mode", "sshm",
"enter_subscript_mode", "ssubm",
"enter_superscript_mode", "ssupm",
"enter_upward_mode", "sum",
"exit_doublewide_mode", "rwidm",
"exit_italics_mode", "ritm",
"exit_leftward_mode", "rlm",
"exit_micro_mode", "rmicm",
"exit_shadow_mode", "rshm",
"exit_subscript_mode", "rsubm",
"exit_superscript_mode", "rsupm",
"exit_upward_mode", "rum",
"micro_column_address", "mhpa",
"micro_down", "mcud1",
"micro_left", "mcub1",
"micro_right", "mcuf1",
"micro_row_address", "mvpa",
"micro_up", "mcuu1",
"order_of_pins", "porder",
"parm_down_micro", "mcud",
"parm_left_micro", "mcub",
"parm_right_micro", "mcuf",
"parm_up_micro", "mcuu",
"select_char_set", "scs",
"set_bottom_margin", "smgb",
"set_bottom_margin_parm", "smgbp",
"set_left_margin_parm", "smglp",
"set_right_margin_parm", "smgrp",
"set_top_margin", "smgt",
"set_top_margin_parm", "smgtp",
"start_bit_image", "sbim",
"start_char_set_def", "scsd",
"stop_bit_image", "rbim",
"stop_char_set_def", "rcsd",
"subscript_characters", "subcs",
"superscript_characters", "supcs",
"these_cause_cr", "docr",
"zero_motion", "zerom",
"char_set_names", "csnm",
"key_mouse", "kmous",
"mouse_info", "minfo",
"req_mouse_pos", "reqmp",
"get_mouse", "getm",
"set_a_foreground", "setaf",
"set_a_background", "setab",
"pkey_plab", "pfxl",
"device_type", "devt",
"code_set_init", "csin",
"set0_des_seq", "s0ds",
"set1_des_seq", "s1ds",
"set2_des_seq", "s2ds",
"set3_des_seq", "s3ds",
"set_lr_margin", "smglr",
"set_tb_margin", "smgtb",
"bit_image_repeat", "birep",
"bit_image_newline", "binel",
"bit_image_carriage_return", "bicr",
"color_names", "colornm",
"define_bit_image_region", "defbi",
"end_bit_image_region", "endbi",
"set_color_band", "setcolor",
"set_page_length", "slines",
"display_pc_char", "dispc",
"enter_pc_charset_mode", "smpch",
"exit_pc_charset_mode", "rmpch",
"enter_scancode_mode", "smsc",
"exit_scancode_mode", "rmsc",
"pc_term_options", "pctrm",
"scancode_escape", "scesc",
"alt_scancode_esc", "scesa",
"enter_horizontal_hl_mode", "ehhlm",
"enter_left_hl_mode", "elhlm",
"enter_low_hl_mode", "elohlm",
"enter_right_hl_mode", "erhlm",
"enter_top_hl_mode", "ethlm",
"enter_vertical_hl_mode", "evhlm",
"set_a_attributes", "sgr1",
"set_pglen_inch", "slength",
"termcap_init2", "",
"termcap_reset", "",
"linefeed_if_not_lf", "",
"backspace_if_not_bs", "",
"other_non_function_keys", "",
"arrow_key_map", "",
"acs_ulcorner", "",
"acs_llcorner", "",
"acs_urcorner", "",
"acs_lrcorner", "",
"acs_ltee", "",
"acs_rtee", "",
"acs_btee", "",
"acs_ttee", "",
"acs_hline", "",
"acs_vline", "",
"acs_plus", "",
"memory_lock", "",
"memory_unlock", "",
"box_chars_1", "",
}
================================================
FILE: evmcc/vendor/github.com/Nvveen/Gotty/gotty.go
================================================
// Copyright 2012 Neal van Veen. All rights reserved.
// Usage of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
// Gotty is a Go-package for reading and parsing the terminfo database
package gotty
// TODO add more concurrency to name lookup, look for more opportunities.
import (
"encoding/binary"
"errors"
"fmt"
"os"
"reflect"
"strings"
"sync"
)
// Open a terminfo file by the name given and construct a TermInfo object.
// If something went wrong reading the terminfo database file, an error is
// returned.
func OpenTermInfo(termName string) (*TermInfo, error) {
var term *TermInfo
var err error
// Find the environment variables
termloc := os.Getenv("TERMINFO")
if len(termloc) == 0 {
// Search like ncurses
locations := []string{os.Getenv("HOME") + "/.terminfo/", "/etc/terminfo/",
"/lib/terminfo/", "/usr/share/terminfo/"}
var path string
for _, str := range locations {
// Construct path
path = str + string(termName[0]) + "/" + termName
// Check if path can be opened
file, _ := os.Open(path)
if file != nil {
// Path can open, fall out and use current path
file.Close()
break
}
}
if len(path) > 0 {
term, err = readTermInfo(path)
} else {
err = errors.New(fmt.Sprintf("No terminfo file(-location) found"))
}
}
return term, err
}
// Open a terminfo file from the environment variable containing the current
// terminal name and construct a TermInfo object. If something went wrong
// reading the terminfo database file, an error is returned.
func OpenTermInfoEnv() (*TermInfo, error) {
termenv := os.Getenv("TERM")
return OpenTermInfo(termenv)
}
// Return an attribute by the name attr provided. If none can be found,
// an error is returned.
func (term *TermInfo) GetAttribute(attr string) (stacker, error) {
// Channel to store the main value in.
var value stacker
// Add a blocking WaitGroup
var block sync.WaitGroup
// Keep track of variable being written.
written := false
// Function to put into goroutine.
f := func(ats interface{}) {
var ok bool
var v stacker
// Switch on type of map to use and assign value to it.
switch reflect.TypeOf(ats).Elem().Kind() {
case reflect.Bool:
v, ok = ats.(map[string]bool)[attr]
case reflect.Int16:
v, ok = ats.(map[string]int16)[attr]
case reflect.String:
v, ok = ats.(map[string]string)[attr]
}
// If ok, a value is found, so we can write.
if ok {
value = v
written = true
}
// Goroutine is done
block.Done()
}
block.Add(3)
// Go for all 3 attribute lists.
go f(term.boolAttributes)
go f(term.numAttributes)
go f(term.strAttributes)
// Wait until every goroutine is done.
block.Wait()
// If a value has been written, return it.
if written {
return value, nil
}
// Otherwise, error.
return nil, fmt.Errorf("Erorr finding attribute")
}
// Return an attribute by the name attr provided. If none can be found,
// an error is returned. A name is first converted to its termcap value.
func (term *TermInfo) GetAttributeName(name string) (stacker, error) {
tc := GetTermcapName(name)
return term.GetAttribute(tc)
}
// A utility function that finds and returns the termcap equivalent of a
// variable name.
func GetTermcapName(name string) string {
// Termcap name
var tc string
// Blocking group
var wait sync.WaitGroup
// Function to put into a goroutine
f := func(attrs []string) {
// Find the string corresponding to the name
for i, s := range attrs {
if s == name {
tc = attrs[i+1]
}
}
// Goroutine is finished
wait.Done()
}
wait.Add(3)
// Go for all 3 attribute lists
go f(BoolAttr[:])
go f(NumAttr[:])
go f(StrAttr[:])
// Wait until every goroutine is done
wait.Wait()
// Return the termcap name
return tc
}
// This function takes a path to a terminfo file and reads it in binary
// form to construct the actual TermInfo file.
func readTermInfo(path string) (*TermInfo, error) {
// Open the terminfo file
file, err := os.Open(path)
defer file.Close()
if err != nil {
return nil, err
}
// magic, nameSize, boolSize, nrSNum, nrOffsetsStr, strSize
// Header is composed of the magic 0432 octal number, size of the name
// section, size of the boolean section, the amount of number values,
// the number of offsets of strings, and the size of the string section.
var header [6]int16
// Byte array is used to read in byte values
var byteArray []byte
// Short array is used to read in short values
var shArray []int16
// TermInfo object to store values
var term TermInfo
// Read in the header
err = binary.Read(file, binary.LittleEndian, &header)
if err != nil {
return nil, err
}
// If magic number isn't there or isn't correct, we have the wrong filetype
if header[0] != 0432 {
return nil, errors.New(fmt.Sprintf("Wrong filetype"))
}
// Read in the names
byteArray = make([]byte, header[1])
err = binary.Read(file, binary.LittleEndian, &byteArray)
if err != nil {
return nil, err
}
term.Names = strings.Split(string(byteArray), "|")
// Read in the booleans
byteArray = make([]byte, header[2])
err = binary.Read(file, binary.LittleEndian, &byteArray)
if err != nil {
return nil, err
}
term.boolAttributes = make(map[string]bool)
for i, b := range byteArray {
if b == 1 {
term.boolAttributes[BoolAttr[i*2+1]] = true
}
}
// If the number of bytes read is not even, a byte for alignment is added
if len(byteArray)%2 != 0 {
err = binary.Read(file, binary.LittleEndian, make([]byte, 1))
if err != nil {
return nil, err
}
}
// Read in shorts
shArray = make([]int16, header[3])
err = binary.Read(file, binary.LittleEndian, &shArray)
if err != nil {
return nil, err
}
term.numAttributes = make(map[string]int16)
for i, n := range shArray {
if n != 0377 && n > -1 {
term.numAttributes[NumAttr[i*2+1]] = n
}
}
// Read the offsets into the short array
shArray = make([]int16, header[4])
err = binary.Read(file, binary.LittleEndian, &shArray)
if err != nil {
return nil, err
}
// Read the actual strings in the byte array
byteArray = make([]byte, header[5])
err = binary.Read(file, binary.LittleEndian, &byteArray)
if err != nil {
return nil, err
}
term.strAttributes = make(map[string]string)
// We get an offset, and then iterate until the string is null-terminated
for i, offset := range shArray {
if offset > -1 {
r := offset
for ; byteArray[r] != 0; r++ {
}
term.strAttributes[StrAttr[i*2+1]] = string(byteArray[offset:r])
}
}
return &term, nil
}
================================================
FILE: evmcc/vendor/github.com/Nvveen/Gotty/parser.go
================================================
// Copyright 2012 Neal van Veen. All rights reserved.
// Usage of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
package gotty
import (
"bytes"
"errors"
"fmt"
"regexp"
"strconv"
"strings"
)
var exp = [...]string{
"%%",
"%c",
"%s",
"%p(\\d)",
"%P([A-z])",
"%g([A-z])",
"%'(.)'",
"%{([0-9]+)}",
"%l",
"%\\+|%-|%\\*|%/|%m",
"%&|%\\||%\\^",
"%=|%>|%<",
"%A|%O",
"%!|%~",
"%i",
"%(:[\\ #\\-\\+]{0,4})?(\\d+\\.\\d+|\\d+)?[doxXs]",
"%\\?(.*?);",
}
var regex *regexp.Regexp
var staticVar map[byte]stacker
// Parses the attribute that is received with name attr and parameters params.
func (term *TermInfo) Parse(attr string, params ...interface{}) (string, error) {
// Get the attribute name first.
iface, err := term.GetAttribute(attr)
str, ok := iface.(string)
if err != nil {
return "", err
}
if !ok {
return str, errors.New("Only string capabilities can be parsed.")
}
// Construct the hidden parser struct so we can use a recursive stack based
// parser.
ps := &parser{}
// Dynamic variables only exist in this context.
ps.dynamicVar = make(map[byte]stacker, 26)
ps.parameters = make([]stacker, len(params))
// Convert the parameters to insert them into the parser struct.
for i, x := range params {
ps.parameters[i] = x
}
// Recursively walk and return.
result, err := ps.walk(str)
return result, err
}
// Parses the attribute that is received with name attr and parameters params.
// Only works on full name of a capability that is given, which it uses to
// search for the termcap name.
func (term *TermInfo) ParseName(attr string, params ...interface{}) (string, error) {
tc := GetTermcapName(attr)
return term.Parse(tc, params)
}
// Identify each token in a stack based manner and do the actual parsing.
func (ps *parser) walk(attr string) (string, error) {
// We use a buffer to get the modified string.
var buf bytes.Buffer
// Next, find and identify all tokens by their indices and strings.
tokens := regex.FindAllStringSubmatch(attr, -1)
if len(tokens) == 0 {
return attr, nil
}
indices := regex.FindAllStringIndex(attr, -1)
q := 0 // q counts the matches of one token
// Iterate through the string per character.
for i := 0; i < len(attr); i++ {
// If the current position is an identified token, execute the following
// steps.
if q < len(indices) && i >= indices[q][0] && i < indices[q][1] {
// Switch on token.
switch {
case tokens[q][0][:2] == "%%":
// Literal percentage character.
buf.WriteByte('%')
case tokens[q][0][:2] == "%c":
// Pop a character.
c, err := ps.st.pop()
if err != nil {
return buf.String(), err
}
buf.WriteByte(c.(byte))
case tokens[q][0][:2] == "%s":
// Pop a string.
str, err := ps.st.pop()
if err != nil {
return buf.String(), err
}
if _, ok := str.(string); !ok {
return buf.String(), errors.New("Stack head is not a string")
}
buf.WriteString(str.(string))
case tokens[q][0][:2] == "%p":
// Push a parameter on the stack.
index, err := strconv.ParseInt(tokens[q][1], 10, 8)
index--
if err != nil {
return buf.String(), err
}
if int(index) >= len(ps.parameters) {
return buf.String(), errors.New("Parameters index out of bound")
}
ps.st.push(ps.parameters[index])
case tokens[q][0][:2] == "%P":
// Pop a variable from the stack as a dynamic or static variable.
val, err := ps.st.pop()
if err != nil {
return buf.String(), err
}
index := tokens[q][2]
if len(index) > 1 {
errorStr := fmt.Sprintf("%s is not a valid dynamic variables index",
index)
return buf.String(), errors.New(errorStr)
}
// Specify either dynamic or static.
if index[0] >= 'a' && index[0] <= 'z' {
ps.dynamicVar[index[0]] = val
} else if index[0] >= 'A' && index[0] <= 'Z' {
staticVar[index[0]] = val
}
case tokens[q][0][:2] == "%g":
// Push a variable from the stack as a dynamic or static variable.
index := tokens[q][3]
if len(index) > 1 {
errorStr := fmt.Sprintf("%s is not a valid static variables index",
index)
return buf.String(), errors.New(errorStr)
}
var val stacker
if index[0] >= 'a' && index[0] <= 'z' {
val = ps.dynamicVar[index[0]]
} else if index[0] >= 'A' && index[0] <= 'Z' {
val = staticVar[index[0]]
}
ps.st.push(val)
case tokens[q][0][:2] == "%'":
// Push a character constant.
con := tokens[q][4]
if len(con) > 1 {
errorStr := fmt.Sprintf("%s is not a valid character constant", con)
return buf.String(), errors.New(errorStr)
}
ps.st.push(con[0])
case tokens[q][0][:2] == "%{":
// Push an integer constant.
con, err := strconv.ParseInt(tokens[q][5], 10, 32)
if err != nil {
return buf.String(), err
}
ps.st.push(con)
case tokens[q][0][:2] == "%l":
// Push the length of the string that is popped from the stack.
popStr, err := ps.st.pop()
if err != nil {
return buf.String(), err
}
if _, ok := popStr.(string); !ok {
errStr := fmt.Sprintf("Stack head is not a string")
return buf.String(), errors.New(errStr)
}
ps.st.push(len(popStr.(string)))
case tokens[q][0][:2] == "%?":
// If-then-else construct. First, the whole string is identified and
// then inside this substring, we can specify which parts to switch on.
ifReg, _ := regexp.Compile("%\\?(.*)%t(.*)%e(.*);|%\\?(.*)%t(.*);")
ifTokens := ifReg.FindStringSubmatch(tokens[q][0])
var (
ifStr string
err error
)
// Parse the if-part to determine if-else.
if len(ifTokens[1]) > 0 {
ifStr, err = ps.walk(ifTokens[1])
} else { // else
ifStr, err = ps.walk(ifTokens[4])
}
// Return any errors
if err != nil {
return buf.String(), err
} else if len(ifStr) > 0 {
// Self-defined limitation, not sure if this is correct, but didn't
// seem like it.
return buf.String(), errors.New("If-clause cannot print statements")
}
var thenStr string
// Pop the first value that is set by parsing the if-clause.
choose, err := ps.st.pop()
if err != nil {
return buf.String(), err
}
// Switch to if or else.
if choose.(int) == 0 && len(ifTokens[1]) > 0 {
thenStr, err = ps.walk(ifTokens[3])
} else if choose.(int) != 0 {
if len(ifTokens[1]) > 0 {
thenStr, err = ps.walk(ifTokens[2])
} else {
thenStr, err = ps.walk(ifTokens[5])
}
}
if err != nil {
return buf.String(), err
}
buf.WriteString(thenStr)
case tokens[q][0][len(tokens[q][0])-1] == 'd': // Fallthrough for printing
fallthrough
case tokens[q][0][len(tokens[q][0])-1] == 'o': // digits.
fallthrough
case tokens[q][0][len(tokens[q][0])-1] == 'x':
fallthrough
case tokens[q][0][len(tokens[q][0])-1] == 'X':
fallthrough
case tokens[q][0][len(tokens[q][0])-1] == 's':
token := tokens[q][0]
// Remove the : that comes before a flag.
if token[1] == ':' {
token = token[:1] + token[2:]
}
digit, err := ps.st.pop()
if err != nil {
return buf.String(), err
}
// The rest is determined like the normal formatted prints.
digitStr := fmt.Sprintf(token, digit.(int))
buf.WriteString(digitStr)
case tokens[q][0][:2] == "%i":
// Increment the parameters by one.
if len(ps.parameters) < 2 {
return buf.String(), errors.New("Not enough parameters to increment.")
}
val1, val2 := ps.parameters[0].(int), ps.parameters[1].(int)
val1++
val2++
ps.parameters[0], ps.parameters[1] = val1, val2
default:
// The rest of the tokens is a special case, where two values are
// popped and then operated on by the token that comes after them.
op1, err := ps.st.pop()
if err != nil {
return buf.String(), err
}
op2, err := ps.st.pop()
if err != nil {
return buf.String(), err
}
var result stacker
switch tokens[q][0][:2] {
case "%+":
// Addition
result = op2.(int) + op1.(int)
case "%-":
// Subtraction
result = op2.(int) - op1.(int)
case "%*":
// Multiplication
result = op2.(int) * op1.(int)
case "%/":
// Division
result = op2.(int) / op1.(int)
case "%m":
// Modulo
result = op2.(int) % op1.(int)
case "%&":
// Bitwise AND
result = op2.(int) & op1.(int)
case "%|":
// Bitwise OR
result = op2.(int) | op1.(int)
case "%^":
// Bitwise XOR
result = op2.(int) ^ op1.(int)
case "%=":
// Equals
result = op2 == op1
case "%>":
// Greater-than
result = op2.(int) > op1.(int)
case "%<":
// Lesser-than
result = op2.(int) < op1.(int)
case "%A":
// Logical AND
result = op2.(bool) && op1.(bool)
case "%O":
// Logical OR
result = op2.(bool) || op1.(bool)
case "%!":
// Logical complement
result = !op1.(bool)
case "%~":
// Bitwise complement
result = ^(op1.(int))
}
ps.st.push(result)
}
i = indices[q][1] - 1
q++
} else {
// We are not "inside" a token, so just skip until the end or the next
// token, and add all characters to the buffer.
j := i
if q != len(indices) {
for !(j >= indices[q][0] && j < indices[q][1]) {
j++
}
} else {
j = len(attr)
}
buf.WriteString(string(attr[i:j]))
i = j
}
}
// Return the buffer as a string.
return buf.String(), nil
}
// Push a stacker-value onto the stack.
func (st *stack) push(s stacker) {
*st = append(*st, s)
}
// Pop a stacker-value from the stack.
func (st *stack) pop() (stacker, error) {
if len(*st) == 0 {
return nil, errors.New("Stack is empty.")
}
newStack := make(stack, len(*st)-1)
val := (*st)[len(*st)-1]
copy(newStack, (*st)[:len(*st)-1])
*st = newStack
return val, nil
}
// Initialize regexes and the static vars (that don't get changed between
// calls.
func init() {
// Initialize the main regex.
expStr := strings.Join(exp[:], "|")
regex, _ = regexp.Compile(expStr)
// Initialize the static variables.
staticVar = make(map[byte]stacker, 26)
}
================================================
FILE: evmcc/vendor/github.com/Nvveen/Gotty/types.go
================================================
// Copyright 2012 Neal van Veen. All rights reserved.
// Usage of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
package gotty
type TermInfo struct {
boolAttributes map[string]bool
numAttributes map[string]int16
strAttributes map[string]string
// The various names of the TermInfo file.
Names []string
}
type stacker interface {
}
type stack []stacker
type parser struct {
st stack
parameters []stacker
dynamicVar map[byte]stacker
}
================================================
FILE: evmcc/vendor/github.com/btcsuite/btcd/LICENSE
================================================
ISC License
Copyright (c) 2013-2017 The btcsuite developers
Copyright (c) 2015-2016 The Decred developers
Permission to use, copy, modify, and distribute this software for any
purpose with or without fee is hereby granted, provided that the above
copyright notice and this permission notice appear in all copies.
THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES
WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR
ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF
OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
================================================
FILE: evmcc/vendor/github.com/btcsuite/btcd/btcec/README.md
================================================
btcec
=====
[](https://travis-ci.org/btcsuite/btcec)
[](http://copyfree.org)
[](http://godoc.org/github.com/btcsuite/btcd/btcec)
Package btcec implements elliptic curve cryptography needed for working with
Bitcoin (secp256k1 only for now). It is designed so that it may be used with the
standard crypto/ecdsa packages provided with go. A comprehensive suite of test
is provided to ensure proper functionality. Package btcec was originally based
on work from ThePiachu which is licensed under the same terms as Go, but it has
signficantly diverged since then. The btcsuite developers original is licensed
under the liberal ISC license.
Although this package was primarily written for btcd, it has intentionally been
designed so it can be used as a standalone package for any projects needing to
use secp256k1 elliptic curve cryptography.
## Installation and Updating
```bash
$ go get -u github.com/btcsuite/btcd/btcec
```
## Examples
* [Sign Message](http://godoc.org/github.com/btcsuite/btcd/btcec#example-package--SignMessage)
Demonstrates signing a message with a secp256k1 private key that is first
parsed form raw bytes and serializing the generated signature.
* [Verify Signature](http://godoc.org/github.com/btcsuite/btcd/btcec#example-package--VerifySignature)
Demonstrates verifying a secp256k1 signature against a public key that is
first parsed from raw bytes. The signature is also parsed from raw bytes.
* [Encryption](http://godoc.org/github.com/btcsuite/btcd/btcec#example-package--EncryptMessage)
Demonstrates encrypting a message for a public key that is first parsed from
raw bytes, then decrypting it using the corresponding private key.
* [Decryption](http://godoc.org/github.com/btcsuite/btcd/btcec#example-package--DecryptMessage)
Demonstrates decrypting a message using a private key that is first parsed
from raw bytes.
## GPG Verification Key
All official release tags are signed by Conformal so users can ensure the code
has not been tampered with and is coming from the btcsuite developers. To
verify the signature perform the following:
- Download the public key from the Conformal website at
https://opensource.conformal.com/GIT-GPG-KEY-conformal.txt
- Import the public key into your GPG keyring:
```bash
gpg --import GIT-GPG-KEY-conformal.txt
```
- Verify the release tag with the following command where `TAG_NAME` is a
placeholder for the specific tag:
```bash
git tag -v TAG_NAME
```
## License
Package btcec is licensed under the [copyfree](http://copyfree.org) ISC License
except for btcec.go and btcec_test.go which is under the same license as Go.
================================================
FILE: evmcc/vendor/github.com/btcsuite/btcd/btcec/btcec.go
================================================
// Copyright 2010 The Go Authors. All rights reserved.
// Copyright 2011 ThePiachu. All rights reserved.
// Copyright 2013-2014 The btcsuite developers
// Use of this source code is governed by an ISC
// license that can be found in the LICENSE file.
package btcec
// References:
// [SECG]: Recommended Elliptic Curve Domain Parameters
// http://www.secg.org/sec2-v2.pdf
//
// [GECC]: Guide to Elliptic Curve Cryptography (Hankerson, Menezes, Vanstone)
// This package operates, internally, on Jacobian coordinates. For a given
// (x, y) position on the curve, the Jacobian coordinates are (x1, y1, z1)
// where x = x1/z1² and y = y1/z1³. The greatest speedups come when the whole
// calculation can be performed within the transform (as in ScalarMult and
// ScalarBaseMult). But even for Add and Double, it's faster to apply and
// reverse the transform than to operate in affine coordinates.
import (
"crypto/elliptic"
"math/big"
"sync"
)
var (
// fieldOne is simply the integer 1 in field representation. It is
// used to avoid needing to create it multiple times during the internal
// arithmetic.
fieldOne = new(fieldVal).SetInt(1)
)
// KoblitzCurve supports a koblitz curve implementation that fits the ECC Curve
// interface from crypto/elliptic.
type KoblitzCurve struct {
*elliptic.CurveParams
// q is the value (P+1)/4 used to compute the square root of field
// elements.
q *big.Int
H int // cofactor of the curve.
halfOrder *big.Int // half the order N
// fieldB is the constant B of the curve as a fieldVal.
fieldB *fieldVal
// byteSize is simply the bit size / 8 and is provided for convenience
// since it is calculated repeatedly.
byteSize int
// bytePoints
bytePoints *[32][256][3]fieldVal
// The next 6 values are used specifically for endomorphism
// optimizations in ScalarMult.
// lambda must fulfill lambda^3 = 1 mod N where N is the order of G.
lambda *big.Int
// beta must fulfill beta^3 = 1 mod P where P is the prime field of the
// curve.
beta *fieldVal
// See the EndomorphismVectors in gensecp256k1.go to see how these are
// derived.
a1 *big.Int
b1 *big.Int
a2 *big.Int
b2 *big.Int
}
// Params returns the parameters for the curve.
func (curve *KoblitzCurve) Params() *elliptic.CurveParams {
return curve.CurveParams
}
// bigAffineToField takes an affine point (x, y) as big integers and converts
// it to an affine point as field values.
func (curve *KoblitzCurve) bigAffineToField(x, y *big.Int) (*fieldVal, *fieldVal) {
x3, y3 := new(fieldVal), new(fieldVal)
x3.SetByteSlice(x.Bytes())
y3.SetByteSlice(y.Bytes())
return x3, y3
}
// fieldJacobianToBigAffine takes a Jacobian point (x, y, z) as field values and
// converts it to an affine point as big integers.
func (curve *KoblitzCurve) fieldJacobianToBigAffine(x, y, z *fieldVal) (*big.Int, *big.Int) {
// Inversions are expensive and both point addition and point doubling
// are faster when working with points that have a z value of one. So,
// if the point needs to be converted to affine, go ahead and normalize
// the point itself at the same time as the calculation is the same.
var zInv, tempZ fieldVal
zInv.Set(z).Inverse() // zInv = Z^-1
tempZ.SquareVal(&zInv) // tempZ = Z^-2
x.Mul(&tempZ) // X = X/Z^2 (mag: 1)
y.Mul(tempZ.Mul(&zInv)) // Y = Y/Z^3 (mag: 1)
z.SetInt(1) // Z = 1 (mag: 1)
// Normalize the x and y values.
x.Normalize()
y.Normalize()
// Convert the field values for the now affine point to big.Ints.
x3, y3 := new(big.Int), new(big.Int)
x3.SetBytes(x.Bytes()[:])
y3.SetBytes(y.Bytes()[:])
return x3, y3
}
// IsOnCurve returns boolean if the point (x,y) is on the curve.
// Part of the elliptic.Curve interface. This function differs from the
// crypto/elliptic algorithm since a = 0 not -3.
func (curve *KoblitzCurve) IsOnCurve(x, y *big.Int) bool {
// Convert big ints to field values for faster arithmetic.
fx, fy := curve.bigAffineToField(x, y)
// Elliptic curve equation for secp256k1 is: y^2 = x^3 + 7
y2 := new(fieldVal).SquareVal(fy).Normalize()
result := new(fieldVal).SquareVal(fx).Mul(fx).AddInt(7).Normalize()
return y2.Equals(result)
}
// addZ1AndZ2EqualsOne adds two Jacobian points that are already known to have
// z values of 1 and stores the result in (x3, y3, z3). That is to say
// (x1, y1, 1) + (x2, y2, 1) = (x3, y3, z3). It performs faster addition than
// the generic add routine since less arithmetic is needed due to the ability to
// avoid the z value multiplications.
func (curve *KoblitzCurve) addZ1AndZ2EqualsOne(x1, y1, z1, x2, y2, x3, y3, z3 *fieldVal) {
// To compute the point addition efficiently, this implementation splits
// the equation into intermediate elements which are used to minimize
// the number of field multiplications using the method shown at:
// http://hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-0.html#addition-mmadd-2007-bl
//
// In particular it performs the calculations using the following:
// H = X2-X1, HH = H^2, I = 4*HH, J = H*I, r = 2*(Y2-Y1), V = X1*I
// X3 = r^2-J-2*V, Y3 = r*(V-X3)-2*Y1*J, Z3 = 2*H
//
// This results in a cost of 4 field multiplications, 2 field squarings,
// 6 field additions, and 5 integer multiplications.
// When the x coordinates are the same for two points on the curve, the
// y coordinates either must be the same, in which case it is point
// doubling, or they are opposite and the result is the point at
// infinity per the group law for elliptic curve cryptography.
x1.Normalize()
y1.Normalize()
x2.Normalize()
y2.Normalize()
if x1.Equals(x2) {
if y1.Equals(y2) {
// Since x1 == x2 and y1 == y2, point doubling must be
// done, otherwise the addition would end up dividing
// by zero.
curve.doubleJacobian(x1, y1, z1, x3, y3, z3)
return
}
// Since x1 == x2 and y1 == -y2, the sum is the point at
// infinity per the group law.
x3.SetInt(0)
y3.SetInt(0)
z3.SetInt(0)
return
}
// Calculate X3, Y3, and Z3 according to the intermediate elements
// breakdown above.
var h, i, j, r, v fieldVal
var negJ, neg2V, negX3 fieldVal
h.Set(x1).Negate(1).Add(x2) // H = X2-X1 (mag: 3)
i.SquareVal(&h).MulInt(4) // I = 4*H^2 (mag: 4)
j.Mul2(&h, &i) // J = H*I (mag: 1)
r.Set(y1).Negate(1).Add(y2).MulInt(2) // r = 2*(Y2-Y1) (mag: 6)
v.Mul2(x1, &i) // V = X1*I (mag: 1)
negJ.Set(&j).Negate(1) // negJ = -J (mag: 2)
neg2V.Set(&v).MulInt(2).Negate(2) // neg2V = -(2*V) (mag: 3)
x3.Set(&r).Square().Add(&negJ).Add(&neg2V) // X3 = r^2-J-2*V (mag: 6)
negX3.Set(x3).Negate(6) // negX3 = -X3 (mag: 7)
j.Mul(y1).MulInt(2).Negate(2) // J = -(2*Y1*J) (mag: 3)
y3.Set(&v).Add(&negX3).Mul(&r).Add(&j) // Y3 = r*(V-X3)-2*Y1*J (mag: 4)
z3.Set(&h).MulInt(2) // Z3 = 2*H (mag: 6)
// Normalize the resulting field values to a magnitude of 1 as needed.
x3.Normalize()
y3.Normalize()
z3.Normalize()
}
// addZ1EqualsZ2 adds two Jacobian points that are already known to have the
// same z value and stores the result in (x3, y3, z3). That is to say
// (x1, y1, z1) + (x2, y2, z1) = (x3, y3, z3). It performs faster addition than
// the generic add routine since less arithmetic is needed due to the known
// equivalence.
func (curve *KoblitzCurve) addZ1EqualsZ2(x1, y1, z1, x2, y2, x3, y3, z3 *fieldVal) {
// To compute the point addition efficiently, this implementation splits
// the equation into intermediate elements which are used to minimize
// the number of field multiplications using a slightly modified version
// of the method shown at:
// http://hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-0.html#addition-mmadd-2007-bl
//
// In particular it performs the calculations using the following:
// A = X2-X1, B = A^2, C=Y2-Y1, D = C^2, E = X1*B, F = X2*B
// X3 = D-E-F, Y3 = C*(E-X3)-Y1*(F-E), Z3 = Z1*A
//
// This results in a cost of 5 field multiplications, 2 field squarings,
// 9 field additions, and 0 integer multiplications.
// When the x coordinates are the same for two points on the curve, the
// y coordinates either must be the same, in which case it is point
// doubling, or they are opposite and the result is the point at
// infinity per the group law for elliptic curve cryptography.
x1.Normalize()
y1.Normalize()
x2.Normalize()
y2.Normalize()
if x1.Equals(x2) {
if y1.Equals(y2) {
// Since x1 == x2 and y1 == y2, point doubling must be
// done, otherwise the addition would end up dividing
// by zero.
curve.doubleJacobian(x1, y1, z1, x3, y3, z3)
return
}
// Since x1 == x2 and y1 == -y2, the sum is the point at
// infinity per the group law.
x3.SetInt(0)
y3.SetInt(0)
z3.SetInt(0)
return
}
// Calculate X3, Y3, and Z3 according to the intermediate elements
// breakdown above.
var a, b, c, d, e, f fieldVal
var negX1, negY1, negE, negX3 fieldVal
negX1.Set(x1).Negate(1) // negX1 = -X1 (mag: 2)
negY1.Set(y1).Negate(1) // negY1 = -Y1 (mag: 2)
a.Set(&negX1).Add(x2) // A = X2-X1 (mag: 3)
b.SquareVal(&a) // B = A^2 (mag: 1)
c.Set(&negY1).Add(y2) // C = Y2-Y1 (mag: 3)
d.SquareVal(&c) // D = C^2 (mag: 1)
e.Mul2(x1, &b) // E = X1*B (mag: 1)
negE.Set(&e).Negate(1) // negE = -E (mag: 2)
f.Mul2(x2, &b) // F = X2*B (mag: 1)
x3.Add2(&e, &f).Negate(3).Add(&d) // X3 = D-E-F (mag: 5)
negX3.Set(x3).Negate(5).Normalize() // negX3 = -X3 (mag: 1)
y3.Set(y1).Mul(f.Add(&negE)).Negate(3) // Y3 = -(Y1*(F-E)) (mag: 4)
y3.Add(e.Add(&negX3).Mul(&c)) // Y3 = C*(E-X3)+Y3 (mag: 5)
z3.Mul2(z1, &a) // Z3 = Z1*A (mag: 1)
// Normalize the resulting field values to a magnitude of 1 as needed.
x3.Normalize()
y3.Normalize()
}
// addZ2EqualsOne adds two Jacobian points when the second point is already
// known to have a z value of 1 (and the z value for the first point is not 1)
// and stores the result in (x3, y3, z3). That is to say (x1, y1, z1) +
// (x2, y2, 1) = (x3, y3, z3). It performs faster addition than the generic
// add routine since less arithmetic is needed due to the ability to avoid
// multiplications by the second point's z value.
func (curve *KoblitzCurve) addZ2EqualsOne(x1, y1, z1, x2, y2, x3, y3, z3 *fieldVal) {
// To compute the point addition efficiently, this implementation splits
// the equation into intermediate elements which are used to minimize
// the number of field multiplications using the method shown at:
// http://hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-0.html#addition-madd-2007-bl
//
// In particular it performs the calculations using the following:
// Z1Z1 = Z1^2, U2 = X2*Z1Z1, S2 = Y2*Z1*Z1Z1, H = U2-X1, HH = H^2,
// I = 4*HH, J = H*I, r = 2*(S2-Y1), V = X1*I
// X3 = r^2-J-2*V, Y3 = r*(V-X3)-2*Y1*J, Z3 = (Z1+H)^2-Z1Z1-HH
//
// This results in a cost of 7 field multiplications, 4 field squarings,
// 9 field additions, and 4 integer multiplications.
// When the x coordinates are the same for two points on the curve, the
// y coordinates either must be the same, in which case it is point
// doubling, or they are opposite and the result is the point at
// infinity per the group law for elliptic curve cryptography. Since
// any number of Jacobian coordinates can represent the same affine
// point, the x and y values need to be converted to like terms. Due to
// the assumption made for this function that the second point has a z
// value of 1 (z2=1), the first point is already "converted".
var z1z1, u2, s2 fieldVal
x1.Normalize()
y1.Normalize()
z1z1.SquareVal(z1) // Z1Z1 = Z1^2 (mag: 1)
u2.Set(x2).Mul(&z1z1).Normalize() // U2 = X2*Z1Z1 (mag: 1)
s2.Set(y2).Mul(&z1z1).Mul(z1).Normalize() // S2 = Y2*Z1*Z1Z1 (mag: 1)
if x1.Equals(&u2) {
if y1.Equals(&s2) {
// Since x1 == x2 and y1 == y2, point doubling must be
// done, otherwise the addition would end up dividing
// by zero.
curve.doubleJacobian(x1, y1, z1, x3, y3, z3)
return
}
// Since x1 == x2 and y1 == -y2, the sum is the point at
// infinity per the group law.
x3.SetInt(0)
y3.SetInt(0)
z3.SetInt(0)
return
}
// Calculate X3, Y3, and Z3 according to the intermediate elements
// breakdown above.
var h, hh, i, j, r, rr, v fieldVal
var negX1, negY1, negX3 fieldVal
negX1.Set(x1).Negate(1) // negX1 = -X1 (mag: 2)
h.Add2(&u2, &negX1) // H = U2-X1 (mag: 3)
hh.SquareVal(&h) // HH = H^2 (mag: 1)
i.Set(&hh).MulInt(4) // I = 4 * HH (mag: 4)
j.Mul2(&h, &i) // J = H*I (mag: 1)
negY1.Set(y1).Negate(1) // negY1 = -Y1 (mag: 2)
r.Set(&s2).Add(&negY1).MulInt(2) // r = 2*(S2-Y1) (mag: 6)
rr.SquareVal(&r) // rr = r^2 (mag: 1)
v.Mul2(x1, &i) // V = X1*I (mag: 1)
x3.Set(&v).MulInt(2).Add(&j).Negate(3) // X3 = -(J+2*V) (mag: 4)
x3.Add(&rr) // X3 = r^2+X3 (mag: 5)
negX3.Set(x3).Negate(5) // negX3 = -X3 (mag: 6)
y3.Set(y1).Mul(&j).MulInt(2).Negate(2) // Y3 = -(2*Y1*J) (mag: 3)
y3.Add(v.Add(&negX3).Mul(&r)) // Y3 = r*(V-X3)+Y3 (mag: 4)
z3.Add2(z1, &h).Square() // Z3 = (Z1+H)^2 (mag: 1)
z3.Add(z1z1.Add(&hh).Negate(2)) // Z3 = Z3-(Z1Z1+HH) (mag: 4)
// Normalize the resulting field values to a magnitude of 1 as needed.
x3.Normalize()
y3.Normalize()
z3.Normalize()
}
// addGeneric adds two Jacobian points (x1, y1, z1) and (x2, y2, z2) without any
// assumptions about the z values of the two points and stores the result in
// (x3, y3, z3). That is to say (x1, y1, z1) + (x2, y2, z2) = (x3, y3, z3). It
// is the slowest of the add routines due to requiring the most arithmetic.
func (curve *KoblitzCurve) addGeneric(x1, y1, z1, x2, y2, z2, x3, y3, z3 *fieldVal) {
// To compute the point addition efficiently, this implementation splits
// the equation into intermediate elements which are used to minimize
// the number of field multiplications using the method shown at:
// http://hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-0.html#addition-add-2007-bl
//
// In particular it performs the calculations using the following:
// Z1Z1 = Z1^2, Z2Z2 = Z2^2, U1 = X1*Z2Z2, U2 = X2*Z1Z1, S1 = Y1*Z2*Z2Z2
// S2 = Y2*Z1*Z1Z1, H = U2-U1, I = (2*H)^2, J = H*I, r = 2*(S2-S1)
// V = U1*I
// X3 = r^2-J-2*V, Y3 = r*(V-X3)-2*S1*J, Z3 = ((Z1+Z2)^2-Z1Z1-Z2Z2)*H
//
// This results in a cost of 11 field multiplications, 5 field squarings,
// 9 field additions, and 4 integer multiplications.
// When the x coordinates are the same for two points on the curve, the
// y coordinates either must be the same, in which case it is point
// doubling, or they are opposite and the result is the point at
// infinity. Since any number of Jacobian coordinates can represent the
// same affine point, the x and y values need to be converted to like
// terms.
var z1z1, z2z2, u1, u2, s1, s2 fieldVal
z1z1.SquareVal(z1) // Z1Z1 = Z1^2 (mag: 1)
z2z2.SquareVal(z2) // Z2Z2 = Z2^2 (mag: 1)
u1.Set(x1).Mul(&z2z2).Normalize() // U1 = X1*Z2Z2 (mag: 1)
u2.Set(x2).Mul(&z1z1).Normalize() // U2 = X2*Z1Z1 (mag: 1)
s1.Set(y1).Mul(&z2z2).Mul(z2).Normalize() // S1 = Y1*Z2*Z2Z2 (mag: 1)
s2.Set(y2).Mul(&z1z1).Mul(z1).Normalize() // S2 = Y2*Z1*Z1Z1 (mag: 1)
if u1.Equals(&u2) {
if s1.Equals(&s2) {
// Since x1 == x2 and y1 == y2, point doubling must be
// done, otherwise the addition would end up dividing
// by zero.
curve.doubleJacobian(x1, y1, z1, x3, y3, z3)
return
}
// Since x1 == x2 and y1 == -y2, the sum is the point at
// infinity per the group law.
x3.SetInt(0)
y3.SetInt(0)
z3.SetInt(0)
return
}
// Calculate X3, Y3, and Z3 according to the intermediate elements
// breakdown above.
var h, i, j, r, rr, v fieldVal
var negU1, negS1, negX3 fieldVal
negU1.Set(&u1).Negate(1) // negU1 = -U1 (mag: 2)
h.Add2(&u2, &negU1) // H = U2-U1 (mag: 3)
i.Set(&h).MulInt(2).Square() // I = (2*H)^2 (mag: 2)
j.Mul2(&h, &i) // J = H*I (mag: 1)
negS1.Set(&s1).Negate(1) // negS1 = -S1 (mag: 2)
r.Set(&s2).Add(&negS1).MulInt(2) // r = 2*(S2-S1) (mag: 6)
rr.SquareVal(&r) // rr = r^2 (mag: 1)
v.Mul2(&u1, &i) // V = U1*I (mag: 1)
x3.Set(&v).MulInt(2).Add(&j).Negate(3) // X3 = -(J+2*V) (mag: 4)
x3.Add(&rr) // X3 = r^2+X3 (mag: 5)
negX3.Set(x3).Negate(5) // negX3 = -X3 (mag: 6)
y3.Mul2(&s1, &j).MulInt(2).Negate(2) // Y3 = -(2*S1*J) (mag: 3)
y3.Add(v.Add(&negX3).Mul(&r)) // Y3 = r*(V-X3)+Y3 (mag: 4)
z3.Add2(z1, z2).Square() // Z3 = (Z1+Z2)^2 (mag: 1)
z3.Add(z1z1.Add(&z2z2).Negate(2)) // Z3 = Z3-(Z1Z1+Z2Z2) (mag: 4)
z3.Mul(&h) // Z3 = Z3*H (mag: 1)
// Normalize the resulting field values to a magnitude of 1 as needed.
x3.Normalize()
y3.Normalize()
}
// addJacobian adds the passed Jacobian points (x1, y1, z1) and (x2, y2, z2)
// together and stores the result in (x3, y3, z3).
func (curve *KoblitzCurve) addJacobian(x1, y1, z1, x2, y2, z2, x3, y3, z3 *fieldVal) {
// A point at infinity is the identity according to the group law for
// elliptic curve cryptography. Thus, ∞ + P = P and P + ∞ = P.
if (x1.IsZero() && y1.IsZero()) || z1.IsZero() {
x3.Set(x2)
y3.Set(y2)
z3.Set(z2)
return
}
if (x2.IsZero() && y2.IsZero()) || z2.IsZero() {
x3.Set(x1)
y3.Set(y1)
z3.Set(z1)
return
}
// Faster point addition can be achieved when certain assumptions are
// met. For example, when both points have the same z value, arithmetic
// on the z values can be avoided. This section thus checks for these
// conditions and calls an appropriate add function which is accelerated
// by using those assumptions.
z1.Normalize()
z2.Normalize()
isZ1One := z1.Equals(fieldOne)
isZ2One := z2.Equals(fieldOne)
switch {
case isZ1One && isZ2One:
curve.addZ1AndZ2EqualsOne(x1, y1, z1, x2, y2, x3, y3, z3)
return
case z1.Equals(z2):
curve.addZ1EqualsZ2(x1, y1, z1, x2, y2, x3, y3, z3)
return
case isZ2One:
curve.addZ2EqualsOne(x1, y1, z1, x2, y2, x3, y3, z3)
return
}
// None of the above assumptions are true, so fall back to generic
// point addition.
curve.addGeneric(x1, y1, z1, x2, y2, z2, x3, y3, z3)
}
// Add returns the sum of (x1,y1) and (x2,y2). Part of the elliptic.Curve
// interface.
func (curve *KoblitzCurve) Add(x1, y1, x2, y2 *big.Int) (*big.Int, *big.Int) {
// A point at infinity is the identity according to the group law for
// elliptic curve cryptography. Thus, ∞ + P = P and P + ∞ = P.
if x1.Sign() == 0 && y1.Sign() == 0 {
return x2, y2
}
if x2.Sign() == 0 && y2.Sign() == 0 {
return x1, y1
}
// Convert the affine coordinates from big integers to field values
// and do the point addition in Jacobian projective space.
fx1, fy1 := curve.bigAffineToField(x1, y1)
fx2, fy2 := curve.bigAffineToField(x2, y2)
fx3, fy3, fz3 := new(fieldVal), new(fieldVal), new(fieldVal)
fOne := new(fieldVal).SetInt(1)
curve.addJacobian(fx1, fy1, fOne, fx2, fy2, fOne, fx3, fy3, fz3)
// Convert the Jacobian coordinate field values back to affine big
// integers.
return curve.fieldJacobianToBigAffine(fx3, fy3, fz3)
}
// doubleZ1EqualsOne performs point doubling on the passed Jacobian point
// when the point is already known to have a z value of 1 and stores
// the result in (x3, y3, z3). That is to say (x3, y3, z3) = 2*(x1, y1, 1). It
// performs faster point doubling than the generic routine since less arithmetic
// is needed due to the ability to avoid multiplication by the z value.
func (curve *KoblitzCurve) doubleZ1EqualsOne(x1, y1, x3, y3, z3 *fieldVal) {
// This function uses the assumptions that z1 is 1, thus the point
// doubling formulas reduce to:
//
// X3 = (3*X1^2)^2 - 8*X1*Y1^2
// Y3 = (3*X1^2)*(4*X1*Y1^2 - X3) - 8*Y1^4
// Z3 = 2*Y1
//
// To compute the above efficiently, this implementation splits the
// equation into intermediate elements which are used to minimize the
// number of field multiplications in favor of field squarings which
// are roughly 35% faster than field multiplications with the current
// implementation at the time this was written.
//
// This uses a slightly modified version of the method shown at:
// http://hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-0.html#doubling-mdbl-2007-bl
//
// In particular it performs the calculations using the following:
// A = X1^2, B = Y1^2, C = B^2, D = 2*((X1+B)^2-A-C)
// E = 3*A, F = E^2, X3 = F-2*D, Y3 = E*(D-X3)-8*C
// Z3 = 2*Y1
//
// This results in a cost of 1 field multiplication, 5 field squarings,
// 6 field additions, and 5 integer multiplications.
var a, b, c, d, e, f fieldVal
z3.Set(y1).MulInt(2) // Z3 = 2*Y1 (mag: 2)
a.SquareVal(x1) // A = X1^2 (mag: 1)
b.SquareVal(y1) // B = Y1^2 (mag: 1)
c.SquareVal(&b) // C = B^2 (mag: 1)
b.Add(x1).Square() // B = (X1+B)^2 (mag: 1)
d.Set(&a).Add(&c).Negate(2) // D = -(A+C) (mag: 3)
d.Add(&b).MulInt(2) // D = 2*(B+D)(mag: 8)
e.Set(&a).MulInt(3) // E = 3*A (mag: 3)
f.SquareVal(&e) // F = E^2 (mag: 1)
x3.Set(&d).MulInt(2).Negate(16) // X3 = -(2*D) (mag: 17)
x3.Add(&f) // X3 = F+X3 (mag: 18)
f.Set(x3).Negate(18).Add(&d).Normalize() // F = D-X3 (mag: 1)
y3.Set(&c).MulInt(8).Negate(8) // Y3 = -(8*C) (mag: 9)
y3.Add(f.Mul(&e)) // Y3 = E*F+Y3 (mag: 10)
// Normalize the field values back to a magnitude of 1.
x3.Normalize()
y3.Normalize()
z3.Normalize()
}
// doubleGeneric performs point doubling on the passed Jacobian point without
// any assumptions about the z value and stores the result in (x3, y3, z3).
// That is to say (x3, y3, z3) = 2*(x1, y1, z1). It is the slowest of the point
// doubling routines due to requiring the most arithmetic.
func (curve *KoblitzCurve) doubleGeneric(x1, y1, z1, x3, y3, z3 *fieldVal) {
// Point doubling formula for Jacobian coordinates for the secp256k1
// curve:
// X3 = (3*X1^2)^2 - 8*X1*Y1^2
// Y3 = (3*X1^2)*(4*X1*Y1^2 - X3) - 8*Y1^4
// Z3 = 2*Y1*Z1
//
// To compute the above efficiently, this implementation splits the
// equation into intermediate elements which are used to minimize the
// number of field multiplications in favor of field squarings which
// are roughly 35% faster than field multiplications with the current
// implementation at the time this was written.
//
// This uses a slightly modified version of the method shown at:
// http://hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-0.html#doubling-dbl-2009-l
//
// In particular it performs the calculations using the following:
// A = X1^2, B = Y1^2, C = B^2, D = 2*((X1+B)^2-A-C)
// E = 3*A, F = E^2, X3 = F-2*D, Y3 = E*(D-X3)-8*C
// Z3 = 2*Y1*Z1
//
// This results in a cost of 1 field multiplication, 5 field squarings,
// 6 field additions, and 5 integer multiplications.
var a, b, c, d, e, f fieldVal
z3.Mul2(y1, z1).MulInt(2) // Z3 = 2*Y1*Z1 (mag: 2)
a.SquareVal(x1) // A = X1^2 (mag: 1)
b.SquareVal(y1) // B = Y1^2 (mag: 1)
c.SquareVal(&b) // C = B^2 (mag: 1)
b.Add(x1).Square() // B = (X1+B)^2 (mag: 1)
d.Set(&a).Add(&c).Negate(2) // D = -(A+C) (mag: 3)
d.Add(&b).MulInt(2) // D = 2*(B+D)(mag: 8)
e.Set(&a).MulInt(3) // E = 3*A (mag: 3)
f.SquareVal(&e) // F = E^2 (mag: 1)
x3.Set(&d).MulInt(2).Negate(16) // X3 = -(2*D) (mag: 17)
x3.Add(&f) // X3 = F+X3 (mag: 18)
f.Set(x3).Negate(18).Add(&d).Normalize() // F = D-X3 (mag: 1)
y3.Set(&c).MulInt(8).Negate(8) // Y3 = -(8*C) (mag: 9)
y3.Add(f.Mul(&e)) // Y3 = E*F+Y3 (mag: 10)
// Normalize the field values back to a magnitude of 1.
x3.Normalize()
y3.Normalize()
z3.Normalize()
}
// doubleJacobian doubles the passed Jacobian point (x1, y1, z1) and stores the
// result in (x3, y3, z3).
func (curve *KoblitzCurve) doubleJacobian(x1, y1, z1, x3, y3, z3 *fieldVal) {
// Doubling a point at infinity is still infinity.
if y1.IsZero() || z1.IsZero() {
x3.SetInt(0)
y3.SetInt(0)
z3.SetInt(0)
return
}
// Slightly faster point doubling can be achieved when the z value is 1
// by avoiding the multiplication on the z value. This section calls
// a point doubling function which is accelerated by using that
// assumption when possible.
if z1.Normalize().Equals(fieldOne) {
curve.doubleZ1EqualsOne(x1, y1, x3, y3, z3)
return
}
// Fall back to generic point doubling which works with arbitrary z
// values.
curve.doubleGeneric(x1, y1, z1, x3, y3, z3)
}
// Double returns 2*(x1,y1). Part of the elliptic.Curve interface.
func (curve *KoblitzCurve) Double(x1, y1 *big.Int) (*big.Int, *big.Int) {
if y1.Sign() == 0 {
return new(big.Int), new(big.Int)
}
// Convert the affine coordinates from big integers to field values
// and do the point doubling in Jacobian projective space.
fx1, fy1 := curve.bigAffineToField(x1, y1)
fx3, fy3, fz3 := new(fieldVal), new(fieldVal), new(fieldVal)
fOne := new(fieldVal).SetInt(1)
curve.doubleJacobian(fx1, fy1, fOne, fx3, fy3, fz3)
// Convert the Jacobian coordinate field values back to affine big
// integers.
return curve.fieldJacobianToBigAffine(fx3, fy3, fz3)
}
// splitK returns a balanced length-two representation of k and their signs.
// This is algorithm 3.74 from [GECC].
//
// One thing of note about this algorithm is that no matter what c1 and c2 are,
// the final equation of k = k1 + k2 * lambda (mod n) will hold. This is
// provable mathematically due to how a1/b1/a2/b2 are computed.
//
// c1 and c2 are chosen to minimize the max(k1,k2).
func (curve *KoblitzCurve) splitK(k []byte) ([]byte, []byte, int, int) {
// All math here is done with big.Int, which is slow.
// At some point, it might be useful to write something similar to
// fieldVal but for N instead of P as the prime field if this ends up
// being a bottleneck.
bigIntK := new(big.Int)
c1, c2 := new(big.Int), new(big.Int)
tmp1, tmp2 := new(big.Int), new(big.Int)
k1, k2 := new(big.Int), new(big.Int)
bigIntK.SetBytes(k)
// c1 = round(b2 * k / n) from step 4.
// Rounding isn't really necessary and costs too much, hence skipped
c1.Mul(curve.b2, bigIntK)
c1.Div(c1, curve.N)
// c2 = round(b1 * k / n) from step 4 (sign reversed to optimize one step)
// Rounding isn't really necessary and costs too much, hence skipped
c2.Mul(curve.b1, bigIntK)
c2.Div(c2, curve.N)
// k1 = k - c1 * a1 - c2 * a2 from step 5 (note c2's sign is reversed)
tmp1.Mul(c1, curve.a1)
tmp2.Mul(c2, curve.a2)
k1.Sub(bigIntK, tmp1)
k1.Add(k1, tmp2)
// k2 = - c1 * b1 - c2 * b2 from step 5 (note c2's sign is reversed)
tmp1.Mul(c1, curve.b1)
tmp2.Mul(c2, curve.b2)
k2.Sub(tmp2, tmp1)
// Note Bytes() throws out the sign of k1 and k2. This matters
// since k1 and/or k2 can be negative. Hence, we pass that
// back separately.
return k1.Bytes(), k2.Bytes(), k1.Sign(), k2.Sign()
}
// moduloReduce reduces k from more than 32 bytes to 32 bytes and under. This
// is done by doing a simple modulo curve.N. We can do this since G^N = 1 and
// thus any other valid point on the elliptic curve has the same order.
func (curve *KoblitzCurve) moduloReduce(k []byte) []byte {
// Since the order of G is curve.N, we can use a much smaller number
// by doing modulo curve.N
if len(k) > curve.byteSize {
// Reduce k by performing modulo curve.N.
tmpK := new(big.Int).SetBytes(k)
tmpK.Mod(tmpK, curve.N)
return tmpK.Bytes()
}
return k
}
// NAF takes a positive integer k and returns the Non-Adjacent Form (NAF) as two
// byte slices. The first is where 1s will be. The second is where -1s will
// be. NAF is convenient in that on average, only 1/3rd of its values are
// non-zero. This is algorithm 3.30 from [GECC].
//
// Essentially, this makes it possible to minimize the number of operations
// since the resulting ints returned will be at least 50% 0s.
func NAF(k []byte) ([]byte, []byte) {
// The essence of this algorithm is that whenever we have consecutive 1s
// in the binary, we want to put a -1 in the lowest bit and get a bunch
// of 0s up to the highest bit of consecutive 1s. This is due to this
// identity:
// 2^n + 2^(n-1) + 2^(n-2) + ... + 2^(n-k) = 2^(n+1) - 2^(n-k)
//
// The algorithm thus may need to go 1 more bit than the length of the
// bits we actually have, hence bits being 1 bit longer than was
// necessary. Since we need to know whether adding will cause a carry,
// we go from right-to-left in this addition.
var carry, curIsOne, nextIsOne bool
// these default to zero
retPos := make([]byte, len(k)+1)
retNeg := make([]byte, len(k)+1)
for i := len(k) - 1; i >= 0; i-- {
curByte := k[i]
for j := uint(0); j < 8; j++ {
curIsOne = curByte&1 == 1
if j == 7 {
if i == 0 {
nextIsOne = false
} else {
nextIsOne = k[i-1]&1 == 1
}
} else {
nextIsOne = curByte&2 == 2
}
if carry {
if curIsOne {
// This bit is 1, so continue to carry
// and don't need to do anything.
} else {
// We've hit a 0 after some number of
// 1s.
if nextIsOne {
// Start carrying again since
// a new sequence of 1s is
// starting.
retNeg[i+1] += 1 << j
} else {
// Stop carrying since 1s have
// stopped.
carry = false
retPos[i+1] += 1 << j
}
}
} else if curIsOne {
if nextIsOne {
// If this is the start of at least 2
// consecutive 1s, set the current one
// to -1 and start carrying.
retNeg[i+1] += 1 << j
carry = true
} else {
// This is a singleton, not consecutive
// 1s.
retPos[i+1] += 1 << j
}
}
curByte >>= 1
}
}
if carry {
retPos[0] = 1
return retPos, retNeg
}
return retPos[1:], retNeg[1:]
}
// ScalarMult returns k*(Bx, By) where k is a big endian integer.
// Part of the elliptic.Curve interface.
func (curve *KoblitzCurve) ScalarMult(Bx, By *big.Int, k []byte) (*big.Int, *big.Int) {
// Point Q = ∞ (point at infinity).
qx, qy, qz := new(fieldVal), new(fieldVal), new(fieldVal)
// Decompose K into k1 and k2 in order to halve the number of EC ops.
// See Algorithm 3.74 in [GECC].
k1, k2, signK1, signK2 := curve.splitK(curve.moduloReduce(k))
// The main equation here to remember is:
// k * P = k1 * P + k2 * ϕ(P)
//
// P1 below is P in the equation, P2 below is ϕ(P) in the equation
p1x, p1y := curve.bigAffineToField(Bx, By)
p1yNeg := new(fieldVal).NegateVal(p1y, 1)
p1z := new(fieldVal).SetInt(1)
// NOTE: ϕ(x,y) = (βx,y). The Jacobian z coordinate is 1, so this math
// goes through.
p2x := new(fieldVal).Mul2(p1x, curve.beta)
p2y := new(fieldVal).Set(p1y)
p2yNeg := new(fieldVal).NegateVal(p2y, 1)
p2z := new(fieldVal).SetInt(1)
// Flip the positive and negative values of the points as needed
// depending on the signs of k1 and k2. As mentioned in the equation
// above, each of k1 and k2 are multiplied by the respective point.
// Since -k * P is the same thing as k * -P, and the group law for
// elliptic curves states that P(x, y) = -P(x, -y), it's faster and
// simplifies the code to just make the point negative.
if signK1 == -1 {
p1y, p1yNeg = p1yNeg, p1y
}
if signK2 == -1 {
p2y, p2yNeg = p2yNeg, p2y
}
// NAF versions of k1 and k2 should have a lot more zeros.
//
// The Pos version of the bytes contain the +1s and the Neg versions
// contain the -1s.
k1PosNAF, k1NegNAF := NAF(k1)
k2PosNAF, k2NegNAF := NAF(k2)
k1Len := len(k1PosNAF)
k2Len := len(k2PosNAF)
m := k1Len
if m < k2Len {
m = k2Len
}
// Add left-to-right using the NAF optimization. See algorithm 3.77
// from [GECC]. This should be faster overall since there will be a lot
// more instances of 0, hence reducing the number of Jacobian additions
// at the cost of 1 possible extra doubling.
var k1BytePos, k1ByteNeg, k2BytePos, k2ByteNeg byte
for i := 0; i < m; i++ {
// Since we're going left-to-right, pad the front with 0s.
if i < m-k1Len {
k1BytePos = 0
k1ByteNeg = 0
} else {
k1BytePos = k1PosNAF[i-(m-k1Len)]
k1ByteNeg = k1NegNAF[i-(m-k1Len)]
}
if i < m-k2Len {
k2BytePos = 0
k2ByteNeg = 0
} else {
k2BytePos = k2PosNAF[i-(m-k2Len)]
k2ByteNeg = k2NegNAF[i-(m-k2Len)]
}
for j := 7; j >= 0; j-- {
// Q = 2 * Q
curve.doubleJacobian(qx, qy, qz, qx, qy, qz)
if k1BytePos&0x80 == 0x80 {
curve.addJacobian(qx, qy, qz, p1x, p1y, p1z,
qx, qy, qz)
} else if k1ByteNeg&0x80 == 0x80 {
curve.addJacobian(qx, qy, qz, p1x, p1yNeg, p1z,
qx, qy, qz)
}
if k2BytePos&0x80 == 0x80 {
curve.addJacobian(qx, qy, qz, p2x, p2y, p2z,
qx, qy, qz)
} else if k2ByteNeg&0x80 == 0x80 {
curve.addJacobian(qx, qy, qz, p2x, p2yNeg, p2z,
qx, qy, qz)
}
k1BytePos <<= 1
k1ByteNeg <<= 1
k2BytePos <<= 1
k2ByteNeg <<= 1
}
}
// Convert the Jacobian coordinate field values back to affine big.Ints.
return curve.fieldJacobianToBigAffine(qx, qy, qz)
}
// ScalarBaseMult returns k*G where G is the base point of the group and k is a
// big endian integer.
// Part of the elliptic.Curve interface.
func (curve *KoblitzCurve) ScalarBaseMult(k []byte) (*big.Int, *big.Int) {
newK := curve.moduloReduce(k)
diff := len(curve.bytePoints) - len(newK)
// Point Q = ∞ (point at infinity).
qx, qy, qz := new(fieldVal), new(fieldVal), new(fieldVal)
// curve.bytePoints has all 256 byte points for each 8-bit window. The
// strategy is to add up the byte points. This is best understood by
// expressing k in base-256 which it already sort of is.
// Each "digit" in the 8-bit window can be looked up using bytePoints
// and added together.
for i, byteVal := range newK {
p := curve.bytePoints[diff+i][byteVal]
curve.addJacobian(qx, qy, qz, &p[0], &p[1], &p[2], qx, qy, qz)
}
return curve.fieldJacobianToBigAffine(qx, qy, qz)
}
// QPlus1Div4 returns the (P+1)/4 constant for the curve for use in calculating
// square roots via exponentiation.
//
// DEPRECATED: The actual value returned is (P+1)/4, where as the original
// method name implies that this value is (((P+1)/4)+1)/4. This method is kept
// to maintain backwards compatibility of the API. Use Q() instead.
func (curve *KoblitzCurve) QPlus1Div4() *big.Int {
return curve.q
}
// Q returns the (P+1)/4 constant for the curve for use in calculating square
// roots via exponentiation.
func (curve *KoblitzCurve) Q() *big.Int {
return curve.q
}
var initonce sync.Once
var secp256k1 KoblitzCurve
func initAll() {
initS256()
}
// fromHex converts the passed hex string into a big integer pointer and will
// panic is there is an error. This is only provided for the hard-coded
// constants so errors in the source code can bet detected. It will only (and
// must only) be called for initialization purposes.
func fromHex(s string) *big.Int {
r, ok := new(big.Int).SetString(s, 16)
if !ok {
panic("invalid hex in source file: " + s)
}
return r
}
func initS256() {
// Curve parameters taken from [SECG] section 2.4.1.
secp256k1.CurveParams = new(elliptic.CurveParams)
secp256k1.P = fromHex("FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEFFFFFC2F")
secp256k1.N = fromHex("FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFEBAAEDCE6AF48A03BBFD25E8CD0364141")
secp256k1.B = fromHex("0000000000000000000000000000000000000000000000000000000000000007")
secp256k1.Gx = fromHex("79BE667EF9DCBBAC55A06295CE870B07029BFCDB2DCE28D959F2815B16F81798")
secp256k1.Gy = fromHex("483ADA7726A3C4655DA4FBFC0E1108A8FD17B448A68554199C47D08FFB10D4B8")
secp256k1.BitSize = 256
secp256k1.q = new(big.Int).Div(new(big.Int).Add(secp256k1.P,
big.NewInt(1)), big.NewInt(4))
secp256k1.H = 1
secp256k1.halfOrder = new(big.Int).Rsh(secp256k1.N, 1)
secp256k1.fieldB = new(fieldVal).SetByteSlice(secp256k1.B.Bytes())
// Provided for convenience since this gets computed repeatedly.
secp256k1.byteSize = secp256k1.BitSize / 8
// Deserialize and set the pre-computed table used to accelerate scalar
// base multiplication. This is hard-coded data, so any errors are
// panics because it means something is wrong in the source code.
if err := loadS256BytePoints(); err != nil {
panic(err)
}
// Next 6 constants are from Hal Finney's bitcointalk.org post:
// https://bitcointalk.org/index.php?topic=3238.msg45565#msg45565
// May he rest in peace.
//
// They have also been independently derived from the code in the
// EndomorphismVectors function in gensecp256k1.go.
secp256k1.lambda = fromHex("5363AD4CC05C30E0A5261C028812645A122E22EA20816678DF02967C1B23BD72")
secp256k1.beta = new(fieldVal).SetHex("7AE96A2B657C07106E64479EAC3434E99CF0497512F58995C1396C28719501EE")
secp256k1.a1 = fromHex("3086D221A7D46BCDE86C90E49284EB15")
secp256k1.b1 = fromHex("-E4437ED6010E88286F547FA90ABFE4C3")
secp256k1.a2 = fromHex("114CA50F7A8E2F3F657C1108D9D44CFD8")
secp256k1.b2 = fromHex("3086D221A7D46BCDE86C90E49284EB15")
// Alternatively, we can use the parameters below, however, they seem
// to be about 8% slower.
// secp256k1.lambda = fromHex("AC9C52B33FA3CF1F5AD9E3FD77ED9BA4A880B9FC8EC739C2E0CFC810B51283CE")
// secp256k1.beta = new(fieldVal).SetHex("851695D49A83F8EF919BB86153CBCB16630FB68AED0A766A3EC693D68E6AFA40")
// secp256k1.a1 = fromHex("E4437ED6010E88286F547FA90ABFE4C3")
// secp256k1.b1 = fromHex("-3086D221A7D46BCDE86C90E49284EB15")
// secp256k1.a2 = fromHex("3086D221A7D46BCDE86C90E49284EB15")
// secp256k1.b2 = fromHex("114CA50F7A8E2F3F657C1108D9D44CFD8")
}
// S256 returns a Curve which implements secp256k1.
func S256() *KoblitzCurve {
initonce.Do(initAll)
return &secp256k1
}
================================================
FILE: evmcc/vendor/github.com/btcsuite/btcd/btcec/ciphering.go
================================================
// Copyright (c) 2015-2016 The btcsuite developers
// Use of this source code is governed by an ISC
// license that can be found in the LICENSE file.
package btcec
import (
"bytes"
"crypto/aes"
"crypto/cipher"
"crypto/hmac"
"crypto/rand"
"crypto/sha256"
"crypto/sha512"
"errors"
"io"
)
var (
// ErrInvalidMAC occurs when Message Authentication Check (MAC) fails
// during decryption. This happens because of either invalid private key or
// corrupt ciphertext.
ErrInvalidMAC = errors.New("invalid mac hash")
// errInputTooShort occurs when the input ciphertext to the Decrypt
// function is less than 134 bytes long.
errInputTooShort = errors.New("ciphertext too short")
// errUnsupportedCurve occurs when the first two bytes of the encrypted
// text aren't 0x02CA (= 712 = secp256k1, from OpenSSL).
errUnsupportedCurve = errors.New("unsupported curve")
errInvalidXLength = errors.New("invalid X length, must be 32")
errInvalidYLength = errors.New("invalid Y length, must be 32")
errInvalidPadding = errors.New("invalid PKCS#7 padding")
// 0x02CA = 714
ciphCurveBytes = [2]byte{0x02, 0xCA}
// 0x20 = 32
ciphCoordLength = [2]byte{0x00, 0x20}
)
// GenerateSharedSecret generates a shared secret based on a private key and a
// public key using Diffie-Hellman key exchange (ECDH) (RFC 4753).
// RFC5903 Section 9 states we should only return x.
func GenerateSharedSecret(privkey *PrivateKey, pubkey *PublicKey) []byte {
x, _ := pubkey.Curve.ScalarMult(pubkey.X, pubkey.Y, privkey.D.Bytes())
return x.Bytes()
}
// Encrypt encrypts data for the target public key using AES-256-CBC. It also
// generates a private key (the pubkey of which is also in the output). The only
// supported curve is secp256k1. The `structure' that it encodes everything into
// is:
//
// struct {
// // Initialization Vector used for AES-256-CBC
// IV [16]byte
// // Public Key: curve(2) + len_of_pubkeyX(2) + pubkeyX +
// // len_of_pubkeyY(2) + pubkeyY (curve = 714)
// PublicKey [70]byte
// // Cipher text
// Data []byte
// // HMAC-SHA-256 Message Authentication Code
// HMAC [32]byte
// }
//
// The primary aim is to ensure byte compatibility with Pyelliptic. Also, refer
// to section 5.8.1 of ANSI X9.63 for rationale on this format.
func Encrypt(pubkey *PublicKey, in []byte) ([]byte, error) {
ephemeral, err := NewPrivateKey(S256())
if err != nil {
return nil, err
}
ecdhKey := GenerateSharedSecret(ephemeral, pubkey)
derivedKey := sha512.Sum512(ecdhKey)
keyE := derivedKey[:32]
keyM := derivedKey[32:]
paddedIn := addPKCSPadding(in)
// IV + Curve params/X/Y + padded plaintext/ciphertext + HMAC-256
out := make([]byte, aes.BlockSize+70+len(paddedIn)+sha256.Size)
iv := out[:aes.BlockSize]
if _, err = io.ReadFull(rand.Reader, iv); err != nil {
return nil, err
}
// start writing public key
pb := ephemeral.PubKey().SerializeUncompressed()
offset := aes.BlockSize
// curve and X length
copy(out[offset:offset+4], append(ciphCurveBytes[:], ciphCoordLength[:]...))
offset += 4
// X
copy(out[offset:offset+32], pb[1:33])
offset += 32
// Y length
copy(out[offset:offset+2], ciphCoordLength[:])
offset += 2
// Y
copy(out[offset:offset+32], pb[33:])
offset += 32
// start encryption
block, err := aes.NewCipher(keyE)
if err != nil {
return nil, err
}
mode := cipher.NewCBCEncrypter(block, iv)
mode.CryptBlocks(out[offset:len(out)-sha256.Size], paddedIn)
// start HMAC-SHA-256
hm := hmac.New(sha256.New, keyM)
hm.Write(out[:len(out)-sha256.Size]) // everything is hashed
copy(out[len(out)-sha256.Size:], hm.Sum(nil)) // write checksum
return out, nil
}
// Decrypt decrypts data that was encrypted using the Encrypt function.
func Decrypt(priv *PrivateKey, in []byte) ([]byte, error) {
// IV + Curve params/X/Y + 1 block + HMAC-256
if len(in) < aes.BlockSize+70+aes.BlockSize+sha256.Size {
return nil, errInputTooShort
}
// read iv
iv := in[:aes.BlockSize]
offset := aes.BlockSize
// start reading pubkey
if !bytes.Equal(in[offset:offset+2], ciphCurveBytes[:]) {
return nil, errUnsupportedCurve
}
offset += 2
if !bytes.Equal(in[offset:offset+2], ciphCoordLength[:]) {
return nil, errInvalidXLength
}
offset += 2
xBytes := in[offset : offset+32]
offset += 32
if !bytes.Equal(in[offset:offset+2], ciphCoordLength[:]) {
return nil, errInvalidYLength
}
offset += 2
yBytes := in[offset : offset+32]
offset += 32
pb := make([]byte, 65)
pb[0] = byte(0x04) // uncompressed
copy(pb[1:33], xBytes)
copy(pb[33:], yBytes)
// check if (X, Y) lies on the curve and create a Pubkey if it does
pubkey, err := ParsePubKey(pb, S256())
if err != nil {
return nil, err
}
// check for cipher text length
if (len(in)-aes.BlockSize-offset-sha256.Size)%aes.BlockSize != 0 {
return nil, errInvalidPadding // not padded to 16 bytes
}
// read hmac
messageMAC := in[len(in)-sha256.Size:]
// generate shared secret
ecdhKey := GenerateSharedSecret(priv, pubkey)
derivedKey := sha512.Sum512(ecdhKey)
keyE := derivedKey[:32]
keyM := derivedKey[32:]
// verify mac
hm := hmac.New(sha256.New, keyM)
hm.Write(in[:len(in)-sha256.Size]) // everything is hashed
expectedMAC := hm.Sum(nil)
if !hmac.Equal(messageMAC, expectedMAC) {
return nil, ErrInvalidMAC
}
// start decryption
block, err := aes.NewCipher(keyE)
if err != nil {
return nil, err
}
mode := cipher.NewCBCDecrypter(block, iv)
// same length as ciphertext
plaintext := make([]byte, len(in)-offset-sha256.Size)
mode.CryptBlocks(plaintext, in[offset:len(in)-sha256.Size])
return removePKCSPadding(plaintext)
}
// Implement PKCS#7 padding with block size of 16 (AES block size).
// addPKCSPadding adds padding to a block of data
func addPKCSPadding(src []byte) []byte {
padding := aes.BlockSize - len(src)%aes.BlockSize
padtext := bytes.Repeat([]byte{byte(padding)}, padding)
return append(src, padtext...)
}
// removePKCSPadding removes padding from data that was added with addPKCSPadding
func removePKCSPadding(src []byte) ([]byte, error) {
length := len(src)
padLength := int(src[length-1])
if padLength > aes.BlockSize || length < aes.BlockSize {
return nil, errInvalidPadding
}
return src[:length-padLength], nil
}
================================================
FILE: evmcc/vendor/github.com/btcsuite/btcd/btcec/doc.go
================================================
// Copyright (c) 2013-2014 The btcsuite developers
// Use of this source code is governed by an ISC
// license that can be found in the LICENSE file.
/*
Package btcec implements support for the elliptic curves needed for bitcoin.
Bitcoin uses elliptic curve cryptography using koblitz curves
(specifically secp256k1) for cryptographic functions. See
http://www.secg.org/collateral/sec2_final.pdf for details on the
standard.
This package provides the data structures and functions implementing the
crypto/elliptic Curve interface in order to permit using these curves
with the standard crypto/ecdsa package provided with go. Helper
functionality is provided to parse signatures and public keys from
standard formats. It was designed for use with btcd, but should be
general enough for other uses of elliptic curve crypto. It was originally based
on some initial work by ThePiachu, but has significantly diverged since then.
*/
package btcec
================================================
FILE: evmcc/vendor/github.com/btcsuite/btcd/btcec/field.go
================================================
// Copyright (c) 2013-2016 The btcsuite developers
// Copyright (c) 2013-2016 Dave Collins
// Use of this source code is governed by an ISC
// license that can be found in the LICENSE file.
package btcec
// References:
// [HAC]: Handbook of Applied Cryptography Menezes, van Oorschot, Vanstone.
// http://cacr.uwaterloo.ca/hac/
// All elliptic curve operations for secp256k1 are done in a finite field
// characterized by a 256-bit prime. Given this precision is larger than the
// biggest available native type, obviously some form of bignum math is needed.
// This package implements specialized fixed-precision field arithmetic rather
// than relying on an arbitrary-precision arithmetic package such as math/big
// for dealing with the field math since the size is known. As a result, rather
// large performance gains are achieved by taking advantage of many
// optimizations not available to arbitrary-precision arithmetic and generic
// modular arithmetic algorithms.
//
// There are various ways to internally represent each finite field element.
// For example, the most obvious representation would be to use an array of 4
// uint64s (64 bits * 4 = 256 bits). However, that representation suffers from
// a couple of issues. First, there is no native Go type large enough to handle
// the intermediate results while adding or multiplying two 64-bit numbers, and
// second there is no space left for overflows when performing the intermediate
// arithmetic between each array element which would lead to expensive carry
// propagation.
//
// Given the above, this implementation represents the the field elements as
// 10 uint32s with each word (array entry) treated as base 2^26. This was
// chosen for the following reasons:
// 1) Most systems at the current time are 64-bit (or at least have 64-bit
// registers available for specialized purposes such as MMX) so the
// intermediate results can typically be done using a native register (and
// using uint64s to avoid the need for additional half-word arithmetic)
// 2) In order to allow addition of the internal words without having to
// propagate the the carry, the max normalized value for each register must
// be less than the number of bits available in the register
// 3) Since we're dealing with 32-bit values, 64-bits of overflow is a
// reasonable choice for #2
// 4) Given the need for 256-bits of precision and the properties stated in #1,
// #2, and #3, the representation which best accommodates this is 10 uint32s
// with base 2^26 (26 bits * 10 = 260 bits, so the final word only needs 22
// bits) which leaves the desired 64 bits (32 * 10 = 320, 320 - 256 = 64) for
// overflow
//
// Since it is so important that the field arithmetic is extremely fast for
// high performance crypto, this package does not perform any validation where
// it ordinarily would. For example, some functions only give the correct
// result is the field is normalized and there is no checking to ensure it is.
// While I typically prefer to ensure all state and input is valid for most
// packages, this code is really only used internally and every extra check
// counts.
import (
"encoding/hex"
)
// Constants used to make the code more readable.
const (
twoBitsMask = 0x3
fourBitsMask = 0xf
sixBitsMask = 0x3f
eightBitsMask = 0xff
)
// Constants related to the field representation.
const (
// fieldWords is the number of words used to internally represent the
// 256-bit value.
fieldWords = 10
// fieldBase is the exponent used to form the numeric base of each word.
// 2^(fieldBase*i) where i is the word position.
fieldBase = 26
// fieldOverflowBits is the minimum number of "overflow" bits for each
// word in the field value.
fieldOverflowBits = 32 - fieldBase
// fieldBaseMask is the mask for the bits in each word needed to
// represent the numeric base of each word (except the most significant
// word).
fieldBaseMask = (1 << fieldBase) - 1
// fieldMSBBits is the number of bits in the most significant word used
// to represent the value.
fieldMSBBits = 256 - (fieldBase * (fieldWords - 1))
// fieldMSBMask is the mask for the bits in the most significant word
// needed to represent the value.
fieldMSBMask = (1 << fieldMSBBits) - 1
// fieldPrimeWordZero is word zero of the secp256k1 prime in the
// internal field representation. It is used during negation.
fieldPrimeWordZero = 0x3fffc2f
// fieldPrimeWordOne is word one of the secp256k1 prime in the
// internal field representation. It is used during negation.
fieldPrimeWordOne = 0x3ffffbf
)
var (
// fieldQBytes is the value Q = (P+1)/4 for the secp256k1 prime P. This
// value is used to efficiently compute the square root of values in the
// field via exponentiation. The value of Q in hex is:
//
// Q = 3fffffffffffffffffffffffffffffffffffffffffffffffffffffffbfffff0c
fieldQBytes = []byte{
0x3f, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff,
0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff,
0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff,
0xff, 0xff, 0xff, 0xff, 0xbf, 0xff, 0xff, 0x0c,
}
)
// fieldVal implements optimized fixed-precision arithmetic over the
// secp256k1 finite field. This means all arithmetic is performed modulo
// 0xfffffffffffffffffffffffffffffffffffffffffffffffffffffffefffffc2f. It
// represents each 256-bit value as 10 32-bit integers in base 2^26. This
// provides 6 bits of overflow in each word (10 bits in the most significant
// word) for a total of 64 bits of overflow (9*6 + 10 = 64). It only implements
// the arithmetic needed for elliptic curve operations.
//
// The following depicts the internal representation:
// -----------------------------------------------------------------
// | n[9] | n[8] | ... | n[0] |
// | 32 bits available | 32 bits available | ... | 32 bits available |
// | 22 bits for value | 26 bits for value | ... | 26 bits for value |
// | 10 bits overflow | 6 bits overflow | ... | 6 bits overflow |
// | Mult: 2^(26*9) | Mult: 2^(26*8) | ... | Mult: 2^(26*0) |
// -----------------------------------------------------------------
//
// For example, consider the number 2^49 + 1. It would be represented as:
// n[0] = 1
// n[1] = 2^23
// n[2..9] = 0
//
// The full 256-bit value is then calculated by looping i from 9..0 and
// doing sum(n[i] * 2^(26i)) like so:
// n[9] * 2^(26*9) = 0 * 2^234 = 0
// n[8] * 2^(26*8) = 0 * 2^208 = 0
// ...
// n[1] * 2^(26*1) = 2^23 * 2^26 = 2^49
// n[0] * 2^(26*0) = 1 * 2^0 = 1
// Sum: 0 + 0 + ... + 2^49 + 1 = 2^49 + 1
type fieldVal struct {
n [10]uint32
}
// String returns the field value as a human-readable hex string.
func (f fieldVal) String() string {
t := new(fieldVal).Set(&f).Normalize()
return hex.EncodeToString(t.Bytes()[:])
}
// Zero sets the field value to zero. A newly created field value is already
// set to zero. This function can be useful to clear an existing field value
// for reuse.
func (f *fieldVal) Zero() {
f.n[0] = 0
f.n[1] = 0
f.n[2] = 0
f.n[3] = 0
f.n[4] = 0
f.n[5] = 0
f.n[6] = 0
f.n[7] = 0
f.n[8] = 0
f.n[9] = 0
}
// Set sets the field value equal to the passed value.
//
// The field value is returned to support chaining. This enables syntax like:
// f := new(fieldVal).Set(f2).Add(1) so that f = f2 + 1 where f2 is not
// modified.
func (f *fieldVal) Set(val *fieldVal) *fieldVal {
*f = *val
return f
}
// SetInt sets the field value to the passed integer. This is a convenience
// function since it is fairly common to perform some arithemetic with small
// native integers.
//
// The field value is returned to support chaining. This enables syntax such
// as f := new(fieldVal).SetInt(2).Mul(f2) so that f = 2 * f2.
func (f *fieldVal) SetInt(ui uint) *fieldVal {
f.Zero()
f.n[0] = uint32(ui)
return f
}
// SetBytes packs the passed 32-byte big-endian value into the internal field
// value representation.
//
// The field value is returned to support chaining. This enables syntax like:
// f := new(fieldVal).SetBytes(byteArray).Mul(f2) so that f = ba * f2.
func (f *fieldVal) SetBytes(b *[32]byte) *fieldVal {
// Pack the 256 total bits across the 10 uint32 words with a max of
// 26-bits per word. This could be done with a couple of for loops,
// but this unrolled version is significantly faster. Benchmarks show
// this is about 34 times faster than the variant which uses loops.
f.n[0] = uint32(b[31]) | uint32(b[30])<<8 | uint32(b[29])<<16 |
(uint32(b[28])&twoBitsMask)<<24
f.n[1] = uint32(b[28])>>2 | uint32(b[27])<<6 | uint32(b[26])<<14 |
(uint32(b[25])&fourBitsMask)<<22
f.n[2] = uint32(b[25])>>4 | uint32(b[24])<<4 | uint32(b[23])<<12 |
(uint32(b[22])&sixBitsMask)<<20
f.n[3] = uint32(b[22])>>6 | uint32(b[21])<<2 | uint32(b[20])<<10 |
uint32(b[19])<<18
f.n[4] = uint32(b[18]) | uint32(b[17])<<8 | uint32(b[16])<<16 |
(uint32(b[15])&twoBitsMask)<<24
f.n[5] = uint32(b[15])>>2 | uint32(b[14])<<6 | uint32(b[13])<<14 |
(uint32(b[12])&fourBitsMask)<<22
f.n[6] = uint32(b[12])>>4 | uint32(b[11])<<4 | uint32(b[10])<<12 |
(uint32(b[9])&sixBitsMask)<<20
f.n[7] = uint32(b[9])>>6 | uint32(b[8])<<2 | uint32(b[7])<<10 |
uint32(b[6])<<18
f.n[8] = uint32(b[5]) | uint32(b[4])<<8 | uint32(b[3])<<16 |
(uint32(b[2])&twoBitsMask)<<24
f.n[9] = uint32(b[2])>>2 | uint32(b[1])<<6 | uint32(b[0])<<14
return f
}
// SetByteSlice packs the passed big-endian value into the internal field value
// representation. Only the first 32-bytes are used. As a result, it is up to
// the caller to ensure numbers of the appropriate size are used or the value
// will be truncated.
//
// The field value is returned to support chaining. This enables syntax like:
// f := new(fieldVal).SetByteSlice(byteSlice)
func (f *fieldVal) SetByteSlice(b []byte) *fieldVal {
var b32 [32]byte
for i := 0; i < len(b); i++ {
if i < 32 {
b32[i+(32-len(b))] = b[i]
}
}
return f.SetBytes(&b32)
}
// SetHex decodes the passed big-endian hex string into the internal field value
// representation. Only the first 32-bytes are used.
//
// The field value is returned to support chaining. This enables syntax like:
// f := new(fieldVal).SetHex("0abc").Add(1) so that f = 0x0abc + 1
func (f *fieldVal) SetHex(hexString string) *fieldVal {
if len(hexString)%2 != 0 {
hexString = "0" + hexString
}
bytes, _ := hex.DecodeString(hexString)
return f.SetByteSlice(bytes)
}
// Normalize normalizes the internal field words into the desired range and
// performs fast modular reduction over the secp256k1 prime by making use of the
// special form of the prime.
func (f *fieldVal) Normalize() *fieldVal {
// The field representation leaves 6 bits of overflow in each word so
// intermediate calculations can be performed without needing to
// propagate the carry to each higher word during the calculations. In
// order to normalize, we need to "compact" the full 256-bit value to
// the right while propagating any carries through to the high order
// word.
//
// Since this field is doing arithmetic modulo the secp256k1 prime, we
// also need to perform modular reduction over the prime.
//
// Per [HAC] section 14.3.4: Reduction method of moduli of special form,
// when the modulus is of the special form m = b^t - c, highly efficient
// reduction can be achieved.
//
// The secp256k1 prime is equivalent to 2^256 - 4294968273, so it fits
// this criteria.
//
// 4294968273 in field representation (base 2^26) is:
// n[0] = 977
// n[1] = 64
// That is to say (2^26 * 64) + 977 = 4294968273
//
// The algorithm presented in the referenced section typically repeats
// until the quotient is zero. However, due to our field representation
// we already know to within one reduction how many times we would need
// to repeat as it's the uppermost bits of the high order word. Thus we
// can simply multiply the magnitude by the field representation of the
// prime and do a single iteration. After this step there might be an
// additional carry to bit 256 (bit 22 of the high order word).
t9 := f.n[9]
m := t9 >> fieldMSBBits
t9 = t9 & fieldMSBMask
t0 := f.n[0] + m*977
t1 := (t0 >> fieldBase) + f.n[1] + (m << 6)
t0 = t0 & fieldBaseMask
t2 := (t1 >> fieldBase) + f.n[2]
t1 = t1 & fieldBaseMask
t3 := (t2 >> fieldBase) + f.n[3]
t2 = t2 & fieldBaseMask
t4 := (t3 >> fieldBase) + f.n[4]
t3 = t3 & fieldBaseMask
t5 := (t4 >> fieldBase) + f.n[5]
t4 = t4 & fieldBaseMask
t6 := (t5 >> fieldBase) + f.n[6]
t5 = t5 & fieldBaseMask
t7 := (t6 >> fieldBase) + f.n[7]
t6 = t6 & fieldBaseMask
t8 := (t7 >> fieldBase) + f.n[8]
t7 = t7 & fieldBaseMask
t9 = (t8 >> fieldBase) + t9
t8 = t8 & fieldBaseMask
// At this point, the magnitude is guaranteed to be one, however, the
// value could still be greater than the prime if there was either a
// carry through to bit 256 (bit 22 of the higher order word) or the
// value is greater than or equal to the field characteristic. The
// following determines if either or these conditions are true and does
// the final reduction in constant time.
//
// Note that the if/else statements here intentionally do the bitwise
// operators even when it won't change the value to ensure constant time
// between the branches. Also note that 'm' will be zero when neither
// of the aforementioned conditions are true and the value will not be
// changed when 'm' is zero.
m = 1
if t9 == fieldMSBMask {
m &= 1
} else {
m &= 0
}
if t2&t3&t4&t5&t6&t7&t8 == fieldBaseMask {
m &= 1
} else {
m &= 0
}
if ((t0+977)>>fieldBase + t1 + 64) > fieldBaseMask {
m &= 1
} else {
m &= 0
}
if t9>>fieldMSBBits != 0 {
m |= 1
} else {
m |= 0
}
t0 = t0 + m*977
t1 = (t0 >> fieldBase) + t1 + (m << 6)
t0 = t0 & fieldBaseMask
t2 = (t1 >> fieldBase) + t2
t1 = t1 & fieldBaseMask
t3 = (t2 >> fieldBase) + t3
t2 = t2 & fieldBaseMask
t4 = (t3 >> fieldBase) + t4
t3 = t3 & fieldBaseMask
t5 = (t4 >> fieldBase) + t5
t4 = t4 & fieldBaseMask
t6 = (t5 >> fieldBase) + t6
t5 = t5 & fieldBaseMask
t7 = (t6 >> fieldBase) + t7
t6 = t6 & fieldBaseMask
t8 = (t7 >> fieldBase) + t8
t7 = t7 & fieldBaseMask
t9 = (t8 >> fieldBase) + t9
t8 = t8 & fieldBaseMask
t9 = t9 & fieldMSBMask // Remove potential multiple of 2^256.
// Finally, set the normalized and reduced words.
f.n[0] = t0
f.n[1] = t1
f.n[2] = t2
f.n[3] = t3
f.n[4] = t4
f.n[5] = t5
f.n[6] = t6
f.n[7] = t7
f.n[8] = t8
f.n[9] = t9
return f
}
// PutBytes unpacks the field value to a 32-byte big-endian value using the
// passed byte array. There is a similar function, Bytes, which unpacks the
// field value into a new array and returns that. This version is provided
// since it can be useful to cut down on the number of allocations by allowing
// the caller to reuse a buffer.
//
// The field value must be normalized for this function to return the correct
// result.
func (f *fieldVal) PutBytes(b *[32]byte) {
// Unpack the 256 total bits from the 10 uint32 words with a max of
// 26-bits per word. This could be done with a couple of for loops,
// but this unrolled version is a bit faster. Benchmarks show this is
// about 10 times faster than the variant which uses loops.
b[31] = byte(f.n[0] & eightBitsMask)
b[30] = byte((f.n[0] >> 8) & eightBitsMask)
b[29] = byte((f.n[0] >> 16) & eightBitsMask)
b[28] = byte((f.n[0]>>24)&twoBitsMask | (f.n[1]&sixBitsMask)<<2)
b[27] = byte((f.n[1] >> 6) & eightBitsMask)
b[26] = byte((f.n[1] >> 14) & eightBitsMask)
b[25] = byte((f.n[1]>>22)&fourBitsMask | (f.n[2]&fourBitsMask)<<4)
b[24] = byte((f.n[2] >> 4) & eightBitsMask)
b[23] = byte((f.n[2] >> 12) & eightBitsMask)
b[22] = byte((f.n[2]>>20)&sixBitsMask | (f.n[3]&twoBitsMask)<<6)
b[21] = byte((f.n[3] >> 2) & eightBitsMask)
b[20] = byte((f.n[3] >> 10) & eightBitsMask)
b[19] = byte((f.n[3] >> 18) & eightBitsMask)
b[18] = byte(f.n[4] & eightBitsMask)
b[17] = byte((f.n[4] >> 8) & eightBitsMask)
b[16] = byte((f.n[4] >> 16) & eightBitsMask)
b[15] = byte((f.n[4]>>24)&twoBitsMask | (f.n[5]&sixBitsMask)<<2)
b[14] = byte((f.n[5] >> 6) & eightBitsMask)
b[13] = byte((f.n[5] >> 14) & eightBitsMask)
b[12] = byte((f.n[5]>>22)&fourBitsMask | (f.n[6]&fourBitsMask)<<4)
b[11] = byte((f.n[6] >> 4) & eightBitsMask)
b[10] = byte((f.n[6] >> 12) & eightBitsMask)
b[9] = byte((f.n[6]>>20)&sixBitsMask | (f.n[7]&twoBitsMask)<<6)
b[8] = byte((f.n[7] >> 2) & eightBitsMask)
b[7] = byte((f.n[7] >> 10) & eightBitsMask)
b[6] = byte((f.n[7] >> 18) & eightBitsMask)
b[5] = byte(f.n[8] & eightBitsMask)
b[4] = byte((f.n[8] >> 8) & eightBitsMask)
b[3] = byte((f.n[8] >> 16) & eightBitsMask)
b[2] = byte((f.n[8]>>24)&twoBitsMask | (f.n[9]&sixBitsMask)<<2)
b[1] = byte((f.n[9] >> 6) & eightBitsMask)
b[0] = byte((f.n[9] >> 14) & eightBitsMask)
}
// Bytes unpacks the field value to a 32-byte big-endian value. See PutBytes
// for a variant that allows the a buffer to be passed which can be useful to
// to cut down on the number of allocations by allowing the caller to reuse a
// buffer.
//
// The field value must be normalized for this function to return correct
// result.
func (f *fieldVal) Bytes() *[32]byte {
b := new([32]byte)
f.PutBytes(b)
return b
}
// IsZero returns whether or not the field value is equal to zero.
func (f *fieldVal) IsZero() bool {
// The value can only be zero if no bits are set in any of the words.
// This is a constant time implementation.
bits := f.n[0] | f.n[1] | f.n[2] | f.n[3] | f.n[4] |
f.n[5] | f.n[6] | f.n[7] | f.n[8] | f.n[9]
return bits == 0
}
// IsOdd returns whether or not the field value is an odd number.
//
// The field value must be normalized for this function to return correct
// result.
func (f *fieldVal) IsOdd() bool {
// Only odd numbers have the bottom bit set.
return f.n[0]&1 == 1
}
// Equals returns whether or not the two field values are the same. Both
// field values being compared must be normalized for this function to return
// the correct result.
func (f *fieldVal) Equals(val *fieldVal) bool {
// Xor only sets bits when they are different, so the two field values
// can only be the same if no bits are set after xoring each word.
// This is a constant time implementation.
bits := (f.n[0] ^ val.n[0]) | (f.n[1] ^ val.n[1]) | (f.n[2] ^ val.n[2]) |
(f.n[3] ^ val.n[3]) | (f.n[4] ^ val.n[4]) | (f.n[5] ^ val.n[5]) |
(f.n[6] ^ val.n[6]) | (f.n[7] ^ val.n[7]) | (f.n[8] ^ val.n[8]) |
(f.n[9] ^ val.n[9])
return bits == 0
}
// NegateVal negates the passed value and stores the result in f. The caller
// must provide the magnitude of the passed value for a correct result.
//
// The field value is returned to support chaining. This enables syntax like:
// f.NegateVal(f2).AddInt(1) so that f = -f2 + 1.
func (f *fieldVal) NegateVal(val *fieldVal, magnitude uint32) *fieldVal {
// Negation in the field is just the prime minus the value. However,
// in order to allow negation against a field value without having to
// normalize/reduce it first, multiply by the magnitude (that is how
// "far" away it is from the normalized value) to adjust. Also, since
// negating a value pushes it one more order of magnitude away from the
// normalized range, add 1 to compensate.
//
// For some intuition here, imagine you're performing mod 12 arithmetic
// (picture a clock) and you are negating the number 7. So you start at
// 12 (which is of course 0 under mod 12) and count backwards (left on
// the clock) 7 times to arrive at 5. Notice this is just 12-7 = 5.
// Now, assume you're starting with 19, which is a number that is
// already larger than the modulus and congruent to 7 (mod 12). When a
// value is already in the desired range, its magnitude is 1. Since 19
// is an additional "step", its magnitude (mod 12) is 2. Since any
// multiple of the modulus is conguent to zero (mod m), the answer can
// be shortcut by simply mulplying the magnitude by the modulus and
// subtracting. Keeping with the example, this would be (2*12)-19 = 5.
f.n[0] = (magnitude+1)*fieldPrimeWordZero - val.n[0]
f.n[1] = (magnitude+1)*fieldPrimeWordOne - val.n[1]
f.n[2] = (magnitude+1)*fieldBaseMask - val.n[2]
f.n[3] = (magnitude+1)*fieldBaseMask - val.n[3]
f.n[4] = (magnitude+1)*fieldBaseMask - val.n[4]
f.n[5] = (magnitude+1)*fieldBaseMask - val.n[5]
f.n[6] = (magnitude+1)*fieldBaseMask - val.n[6]
f.n[7] = (magnitude+1)*fieldBaseMask - val.n[7]
f.n[8] = (magnitude+1)*fieldBaseMask - val.n[8]
f.n[9] = (magnitude+1)*fieldMSBMask - val.n[9]
return f
}
// Negate negates the field value. The existing field value is modified. The
// caller must provide the magnitude of the field value for a correct result.
//
// The field value is returned to support chaining. This enables syntax like:
// f.Negate().AddInt(1) so that f = -f + 1.
func (f *fieldVal) Negate(magnitude uint32) *fieldVal {
return f.NegateVal(f, magnitude)
}
// AddInt adds the passed integer to the existing field value and stores the
// result in f. This is a convenience function since it is fairly common to
// perform some arithemetic with small native integers.
//
// The field value is returned to support chaining. This enables syntax like:
// f.AddInt(1).Add(f2) so that f = f + 1 + f2.
func (f *fieldVal) AddInt(ui uint) *fieldVal {
// Since the field representation intentionally provides overflow bits,
// it's ok to use carryless addition as the carry bit is safely part of
// the word and will be normalized out.
f.n[0] += uint32(ui)
return f
}
// Add adds the passed value to the existing field value and stores the result
// in f.
//
// The field value is returned to support chaining. This enables syntax like:
// f.Add(f2).AddInt(1) so that f = f + f2 + 1.
func (f *fieldVal) Add(val *fieldVal) *fieldVal {
// Since the field representation intentionally provides overflow bits,
// it's ok to use carryless addition as the carry bit is safely part of
// each word and will be normalized out. This could obviously be done
// in a loop, but the unrolled version is faster.
f.n[0] += val.n[0]
f.n[1] += val.n[1]
f.n[2] += val.n[2]
f.n[3] += val.n[3]
f.n[4] += val.n[4]
f.n[5] += val.n[5]
f.n[6] += val.n[6]
f.n[7] += val.n[7]
f.n[8] += val.n[8]
f.n[9] += val.n[9]
return f
}
// Add2 adds the passed two field values together and stores the result in f.
//
// The field value is returned to support chaining. This enables syntax like:
// f3.Add2(f, f2).AddInt(1) so that f3 = f + f2 + 1.
func (f *fieldVal) Add2(val *fieldVal, val2 *fieldVal) *fieldVal {
// Since the field representation intentionally provides overflow bits,
// it's ok to use carryless addition as the carry bit is safely part of
// each word and will be normalized out. This could obviously be done
// in a loop, but the unrolled version is faster.
f.n[0] = val.n[0] + val2.n[0]
f.n[1] = val.n[1] + val2.n[1]
f.n[2] = val.n[2] + val2.n[2]
f.n[3] = val.n[3] + val2.n[3]
f.n[4] = val.n[4] + val2.n[4]
f.n[5] = val.n[5] + val2.n[5]
f.n[6] = val.n[6] + val2.n[6]
f.n[7] = val.n[7] + val2.n[7]
f.n[8] = val.n[8] + val2.n[8]
f.n[9] = val.n[9] + val2.n[9]
return f
}
// MulInt multiplies the field value by the passed int and stores the result in
// f. Note that this function can overflow if multiplying the value by any of
// the individual words exceeds a max uint32. Therefore it is important that
// the caller ensures no overflows will occur before using this function.
//
// The field value is returned to support chaining. This enables syntax like:
// f.MulInt(2).Add(f2) so that f = 2 * f + f2.
func (f *fieldVal) MulInt(val uint) *fieldVal {
// Since each word of the field representation can hold up to
// fieldOverflowBits extra bits which will be normalized out, it's safe
// to multiply each word without using a larger type or carry
// propagation so long as the values won't overflow a uint32. This
// could obviously be done in a loop, but the unrolled version is
// faster.
ui := uint32(val)
f.n[0] *= ui
f.n[1] *= ui
f.n[2] *= ui
f.n[3] *= ui
f.n[4] *= ui
f.n[5] *= ui
f.n[6] *= ui
f.n[7] *= ui
f.n[8] *= ui
f.n[9] *= ui
return f
}
// Mul multiplies the passed value to the existing field value and stores the
// result in f. Note that this function can overflow if multiplying any
// of the individual words exceeds a max uint32. In practice, this means the
// magnitude of either value involved in the multiplication must be a max of
// 8.
//
// The field value is returned to support chaining. This enables syntax like:
// f.Mul(f2).AddInt(1) so that f = (f * f2) + 1.
func (f *fieldVal) Mul(val *fieldVal) *fieldVal {
return f.Mul2(f, val)
}
// Mul2 multiplies the passed two field values together and stores the result
// result in f. Note that this function can overflow if multiplying any of
// the individual words exceeds a max uint32. In practice, this means the
// magnitude of either value involved in the multiplication must be a max of
// 8.
//
// The field value is returned to support chaining. This enables syntax like:
// f3.Mul2(f, f2).AddInt(1) so that f3 = (f * f2) + 1.
func (f *fieldVal) Mul2(val *fieldVal, val2 *fieldVal) *fieldVal {
// This could be done with a couple of for loops and an array to store
// the intermediate terms, but this unrolled version is significantly
// faster.
// Terms for 2^(fieldBase*0).
m := uint64(val.n[0]) * uint64(val2.n[0])
t0 := m & fieldBaseMask
// Terms for 2^(fieldBase*1).
m = (m >> fieldBase) +
uint64(val.n[0])*uint64(val2.n[1]) +
uint64(val.n[1])*uint64(val2.n[0])
t1 := m & fieldBaseMask
// Terms for 2^(fieldBase*2).
m = (m >> fieldBase) +
uint64(val.n[0])*uint64(val2.n[2]) +
uint64(val.n[1])*uint64(val2.n[1]) +
uint64(val.n[2])*uint64(val2.n[0])
t2 := m & fieldBaseMask
// Terms for 2^(fieldBase*3).
m = (m >> fieldBase) +
uint64(val.n[0])*uint64(val2.n[3]) +
uint64(val.n[1])*uint64(val2.n[2]) +
uint64(val.n[2])*uint64(val2.n[1]) +
uint64(val.n[3])*uint64(val2.n[0])
t3 := m & fieldBaseMask
// Terms for 2^(fieldBase*4).
m = (m >> fieldBase) +
uint64(val.n[0])*uint64(val2.n[4]) +
uint64(val.n[1])*uint64(val2.n[3]) +
uint64(val.n[2])*uint64(val2.n[2]) +
uint64(val.n[3])*uint64(val2.n[1]) +
uint64(val.n[4])*uint64(val2.n[0])
t4 := m & fieldBaseMask
// Terms for 2^(fieldBase*5).
m = (m >> fieldBase) +
uint64(val.n[0])*uint64(val2.n[5]) +
uint64(val.n[1])*uint64(val2.n[4]) +
uint64(val.n[2])*uint64(val2.n[3]) +
uint64(val.n[3])*uint64(val2.n[2]) +
uint64(val.n[4])*uint64(val2.n[1]) +
uint64(val.n[5])*uint64(val2.n[0])
t5 := m & fieldBaseMask
// Terms for 2^(fieldBase*6).
m = (m >> fieldBase) +
uint64(val.n[0])*uint64(val2.n[6]) +
uint64(val.n[1])*uint64(val2.n[5]) +
uint64(val.n[2])*uint64(val2.n[4]) +
uint64(val.n[3])*uint64(val2.n[3]) +
uint64(val.n[4])*uint64(val2.n[2]) +
uint64(val.n[5])*uint64(val2.n[1]) +
uint64(val.n[6])*uint64(val2.n[0])
t6 := m & fieldBaseMask
// Terms for 2^(fieldBase*7).
m = (m >> fieldBase) +
uint64(val.n[0])*uint64(val2.n[7]) +
uint64(val.n[1])*uint64(val2.n[6]) +
uint64(val.n[2])*uint64(val2.n[5]) +
uint64(val.n[3])*uint64(val2.n[4]) +
uint64(val.n[4])*uint64(val2.n[3]) +
uint64(val.n[5])*uint64(val2.n[2]) +
uint64(val.n[6])*uint64(val2.n[1]) +
uint64(val.n[7])*uint64(val2.n[0])
t7 := m & fieldBaseMask
// Terms for 2^(fieldBase*8).
m = (m >> fieldBase) +
uint64(val.n[0])*uint64(val2.n[8]) +
uint64(val.n[1])*uint64(val2.n[7]) +
uint64(val.n[2])*uint64(val2.n[6]) +
uint64(val.n[3])*uint64(val2.n[5]) +
uint64(val.n[4])*uint64(val2.n[4]) +
uint64(val.n[5])*uint64(val2.n[3]) +
uint64(val.n[6])*uint64(val2.n[2]) +
uint64(val.n[7])*uint64(val2.n[1]) +
uint64(val.n[8])*uint64(val2.n[0])
t8 := m & fieldBaseMask
// Terms for 2^(fieldBase*9).
m = (m >> fieldBase) +
uint64(val.n[0])*uint64(val2.n[9]) +
uint64(val.n[1])*uint64(val2.n[8]) +
uint64(val.n[2])*uint64(val2.n[7]) +
uint64(val.n[3])*uint64(val2.n[6]) +
uint64(val.n[4])*uint64(val2.n[5]) +
uint64(val.n[5])*uint64(val2.n[4]) +
uint64(val.n[6])*uint64(val2.n[3]) +
uint64(val.n[7])*uint64(val2.n[2]) +
uint64(val.n[8])*uint64(val2.n[1]) +
uint64(val.n[9])*uint64(val2.n[0])
t9 := m & fieldBaseMask
// Terms for 2^(fieldBase*10).
m = (m >> fieldBase) +
uint64(val.n[1])*uint64(val2.n[9]) +
uint64(val.n[2])*uint64(val2.n[8]) +
uint64(val.n[3])*uint64(val2.n[7]) +
uint64(val.n[4])*uint64(val2.n[6]) +
uint64(val.n[5])*uint64(val2.n[5]) +
uint64(val.n[6])*uint64(val2.n[4]) +
uint64(val.n[7])*uint64(val2.n[3]) +
uint64(val.n[8])*uint64(val2.n[2]) +
uint64(val.n[9])*uint64(val2.n[1])
t10 := m & fieldBaseMask
// Terms for 2^(fieldBase*11).
m = (m >> fieldBase) +
uint64(val.n[2])*uint64(val2.n[9]) +
uint64(val.n[3])*uint64(val2.n[8]) +
uint64(val.n[4])*uint64(val2.n[7]) +
uint64(val.n[5])*uint64(val2.n[6]) +
uint64(val.n[6])*uint64(val2.n[5]) +
uint64(val.n[7])*uint64(val2.n[4]) +
uint64(val.n[8])*uint64(val2.n[3]) +
uint64(val.n[9])*uint64(val2.n[2])
t11 := m & fieldBaseMask
// Terms for 2^(fieldBase*12).
m = (m >> fieldBase) +
uint64(val.n[3])*uint64(val2.n[9]) +
uint64(val.n[4])*uint64(val2.n[8]) +
uint64(val.n[5])*uint64(val2.n[7]) +
uint64(val.n[6])*uint64(val2.n[6]) +
uint64(val.n[7])*uint64(val2.n[5]) +
uint64(val.n[8])*uint64(val2.n[4]) +
uint64(val.n[9])*uint64(val2.n[3])
t12 := m & fieldBaseMask
// Terms for 2^(fieldBase*13).
m = (m >> fieldBase) +
uint64(val.n[4])*uint64(val2.n[9]) +
uint64(val.n[5])*uint64(val2.n[8]) +
uint64(val.n[6])*uint64(val2.n[7]) +
uint64(val.n[7])*uint64(val2.n[6]) +
uint64(val.n[8])*uint64(val2.n[5]) +
uint64(val.n[9])*uint64(val2.n[4])
t13 := m & fieldBaseMask
// Terms for 2^(fieldBase*14).
m = (m >> fieldBase) +
uint64(val.n[5])*uint64(val2.n[9]) +
uint64(val.n[6])*uint64(val2.n[8]) +
uint64(val.n[7])*uint64(val2.n[7]) +
uint64(val.n[8])*uint64(val2.n[6]) +
uint64(val.n[9])*uint64(val2.n[5])
t14 := m & fieldBaseMask
// Terms for 2^(fieldBase*15).
m = (m >> fieldBase) +
uint64(val.n[6])*uint64(val2.n[9]) +
uint64(val.n[7])*uint64(val2.n[8]) +
uint64(val.n[8])*uint64(val2.n[7]) +
uint64(val.n[9])*uint64(val2.n[6])
t15 := m & fieldBaseMask
// Terms for 2^(fieldBase*16).
m = (m >> fieldBase) +
uint64(val.n[7])*uint64(val2.n[9]) +
uint64(val.n[8])*uint64(val2.n[8]) +
uint64(val.n[9])*uint64(val2.n[7])
t16 := m & fieldBaseMask
// Terms for 2^(fieldBase*17).
m = (m >> fieldBase) +
uint64(val.n[8])*uint64(val2.n[9]) +
uint64(val.n[9])*uint64(val2.n[8])
t17 := m & fieldBaseMask
// Terms for 2^(fieldBase*18).
m = (m >> fieldBase) + uint64(val.n[9])*uint64(val2.n[9])
t18 := m & fieldBaseMask
// What's left is for 2^(fieldBase*19).
t19 := m >> fieldBase
// At this point, all of the terms are grouped into their respective
// base.
//
// Per [HAC] section 14.3.4: Reduction method of moduli of special form,
// when the modulus is of the special form m = b^t - c, highly efficient
// reduction can be achieved per the provided algorithm.
//
// The secp256k1 prime is equivalent to 2^256 - 4294968273, so it fits
// this criteria.
//
// 4294968273 in field representation (base 2^26) is:
// n[0] = 977
// n[1] = 64
// That is to say (2^26 * 64) + 977 = 4294968273
//
// Since each word is in base 26, the upper terms (t10 and up) start
// at 260 bits (versus the final desired range of 256 bits), so the
// field representation of 'c' from above needs to be adjusted for the
// extra 4 bits by multiplying it by 2^4 = 16. 4294968273 * 16 =
// 68719492368. Thus, the adjusted field representation of 'c' is:
// n[0] = 977 * 16 = 15632
// n[1] = 64 * 16 = 1024
// That is to say (2^26 * 1024) + 15632 = 68719492368
//
// To reduce the final term, t19, the entire 'c' value is needed instead
// of only n[0] because there are no more terms left to handle n[1].
// This means there might be some magnitude left in the upper bits that
// is handled below.
m = t0 + t10*15632
t0 = m & fieldBaseMask
m = (m >> fieldBase) + t1 + t10*1024 + t11*15632
t1 = m & fieldBaseMask
m = (m >> fieldBase) + t2 + t11*1024 + t12*15632
t2 = m & fieldBaseMask
m = (m >> fieldBase) + t3 + t12*1024 + t13*15632
t3 = m & fieldBaseMask
m = (m >> fieldBase) + t4 + t13*1024 + t14*15632
t4 = m & fieldBaseMask
m = (m >> fieldBase) + t5 + t14*1024 + t15*15632
t5 = m & fieldBaseMask
m = (m >> fieldBase) + t6 + t15*1024 + t16*15632
t6 = m & fieldBaseMask
m = (m >> fieldBase) + t7 + t16*1024 + t17*15632
t7 = m & fieldBaseMask
m = (m >> fieldBase) + t8 + t17*1024 + t18*15632
t8 = m & fieldBaseMask
m = (m >> fieldBase) + t9 + t18*1024 + t19*68719492368
t9 = m & fieldMSBMask
m = m >> fieldMSBBits
// At this point, if the magnitude is greater than 0, the overall value
// is greater than the max possible 256-bit value. In particular, it is
// "how many times larger" than the max value it is.
//
// The algorithm presented in [HAC] section 14.3.4 repeats until the
// quotient is zero. However, due to the above, we already know at
// least how many times we would need to repeat as it's the value
// currently in m. Thus we can simply multiply the magnitude by the
// field representation of the prime and do a single iteration. Notice
// that nothing will be changed when the magnitude is zero, so we could
// skip this in that case, however always running regardless allows it
// to run in constant time. The final result will be in the range
// 0 <= result <= prime + (2^64 - c), so it is guaranteed to have a
// magnitude of 1, but it is denormalized.
d := t0 + m*977
f.n[0] = uint32(d & fieldBaseMask)
d = (d >> fieldBase) + t1 + m*64
f.n[1] = uint32(d & fieldBaseMask)
f.n[2] = uint32((d >> fieldBase) + t2)
f.n[3] = uint32(t3)
f.n[4] = uint32(t4)
f.n[5] = uint32(t5)
f.n[6] = uint32(t6)
f.n[7] = uint32(t7)
f.n[8] = uint32(t8)
f.n[9] = uint32(t9)
return f
}
// Square squares the field value. The existing field value is modified. Note
// that this function can overflow if multiplying any of the individual words
// exceeds a max uint32. In practice, this means the magnitude of the field
// must be a max of 8 to prevent overflow.
//
// The field value is returned to support chaining. This enables syntax like:
// f.Square().Mul(f2) so that f = f^2 * f2.
func (f *fieldVal) Square() *fieldVal {
return f.SquareVal(f)
}
// SquareVal squares the passed value and stores the result in f. Note that
// this function can overflow if multiplying any of the individual words
// exceeds a max uint32. In practice, this means the magnitude of the field
// being squred must be a max of 8 to prevent overflow.
//
// The field value is returned to support chaining. This enables syntax like:
// f3.SquareVal(f).Mul(f) so that f3 = f^2 * f = f^3.
func (f *fieldVal) SquareVal(val *fieldVal) *fieldVal {
// This could be done with a couple of for loops and an array to store
// the intermediate terms, but this unrolled version is significantly
// faster.
// Terms for 2^(fieldBase*0).
m := uint64(val.n[0]) * uint64(val.n[0])
t0 := m & fieldBaseMask
// Terms for 2^(fieldBase*1).
m = (m >> fieldBase) + 2*uint64(val.n[0])*uint64(val.n[1])
t1 := m & fieldBaseMask
// Terms for 2^(fieldBase*2).
m = (m >> fieldBase) +
2*uint64(val.n[0])*uint64(val.n[2]) +
uint64(val.n[1])*uint64(val.n[1])
t2 := m & fieldBaseMask
// Terms for 2^(fieldBase*3).
m = (m >> fieldBase) +
2*uint64(val.n[0])*uint64(val.n[3]) +
2*uint64(val.n[1])*uint64(val.n[2])
t3 := m & fieldBaseMask
// Terms for 2^(fieldBase*4).
m = (m >> fieldBase) +
2*uint64(val.n[0])*uint64(val.n[4]) +
2*uint64(val.n[1])*uint64(val.n[3]) +
uint64(val.n[2])*uint64(val.n[2])
t4 := m & fieldBaseMask
// Terms for 2^(fieldBase*5).
m = (m >> fieldBase) +
2*uint64(val.n[0])*uint64(val.n[5]) +
2*uint64(val.n[1])*uint64(val.n[4]) +
2*uint64(val.n[2])*uint64(val.n[3])
t5 := m & fieldBaseMask
// Terms for 2^(fieldBase*6).
m = (m >> fieldBase) +
2*uint64(val.n[0])*uint64(val.n[6]) +
2*uint64(val.n[1])*uint64(val.n[5]) +
2*uint64(val.n[2])*uint64(val.n[4]) +
uint64(val.n[3])*uint64(val.n[3])
t6 := m & fieldBaseMask
// Terms for 2^(fieldBase*7).
m = (m >> fieldBase) +
2*uint64(val.n[0])*uint64(val.n[7]) +
2*uint64(val.n[1])*uint64(val.n[6]) +
2*uint64(val.n[2])*uint64(val.n[5]) +
2*uint64(val.n[3])*uint64(val.n[4])
t7 := m & fieldBaseMask
// Terms for 2^(fieldBase*8).
m = (m >> fieldBase) +
2*uint64(val.n[0])*uint64(val.n[8]) +
2*uint64(val.n[1])*uint64(val.n[7]) +
2*uint64(val.n[2])*uint64(val.n[6]) +
2*uint64(val.n[3])*uint64(val.n[5]) +
uint64(val.n[4])*uint64(val.n[4])
t8 := m & fieldBaseMask
// Terms for 2^(fieldBase*9).
m = (m >> fieldBase) +
2*uint64(val.n[0])*uint64(val.n[9]) +
2*uint64(val.n[1])*uint64(val.n[8]) +
2*uint64(val.n[2])*uint64(val.n[7]) +
2*uint64(val.n[3])*uint64(val.n[6]) +
2*uint64(val.n[4])*uint64(val.n[5])
t9 := m & fieldBaseMask
// Terms for 2^(fieldBase*10).
m = (m >> fieldBase) +
2*uint64(val.n[1])*uint64(val.n[9]) +
2*uint64(val.n[2])*uint64(val.n[8]) +
2*uint64(val.n[3])*uint64(val.n[7]) +
2*uint64(val.n[4])*uint64(val.n[6]) +
uint64(val.n[5])*uint64(val.n[5])
t10 := m & fieldBaseMask
// Terms for 2^(fieldBase*11).
m = (m >> fieldBase) +
2*uint64(val.n[2])*uint64(val.n[9]) +
2*uint64(val.n[3])*uint64(val.n[8]) +
2*uint64(val.n[4])*uint64(val.n[7]) +
2*uint64(val.n[5])*uint64(val.n[6])
t11 := m & fieldBaseMask
// Terms for 2^(fieldBase*12).
m = (m >> fieldBase) +
2*uint64(val.n[3])*uint64(val.n[9]) +
2*uint64(val.n[4])*uint64(val.n[8]) +
2*uint64(val.n[5])*uint64(val.n[7]) +
uint64(val.n[6])*uint64(val.n[6])
t12 := m & fieldBaseMask
// Terms for 2^(fieldBase*13).
m = (m >> fieldBase) +
2*uint64(val.n[4])*uint64(val.n[9]) +
2*uint64(val.n[5])*uint64(val.n[8]) +
2*uint64(val.n[6])*uint64(val.n[7])
t13 := m & fieldBaseMask
// Terms for 2^(fieldBase*14).
m = (m >> fieldBase) +
2*uint64(val.n[5])*uint64(val.n[9]) +
2*uint64(val.n[6])*uint64(val.n[8]) +
uint64(val.n[7])*uint64(val.n[7])
t14 := m & fieldBaseMask
// Terms for 2^(fieldBase*15).
m = (m >> fieldBase) +
2*uint64(val.n[6])*uint64(val.n[9]) +
2*uint64(val.n[7])*uint64(val.n[8])
t15 := m & fieldBaseMask
// Terms for 2^(fieldBase*16).
m = (m >> fieldBase) +
2*uint64(val.n[7])*uint64(val.n[9]) +
uint64(val.n[8])*uint64(val.n[8])
t16 := m & fieldBaseMask
// Terms for 2^(fieldBase*17).
m = (m >> fieldBase) + 2*uint64(val.n[8])*uint64(val.n[9])
t17 := m & fieldBaseMask
// Terms for 2^(fieldBase*18).
m = (m >> fieldBase) + uint64(val.n[9])*uint64(val.n[9])
t18 := m & fieldBaseMask
// What's left is for 2^(fieldBase*19).
t19 := m >> fieldBase
// At this point, all of the terms are grouped into their respective
// base.
//
// Per [HAC] section 14.3.4: Reduction method of moduli of special form,
// when the modulus is of the special form m = b^t - c, highly efficient
// reduction can be achieved per the provided algorithm.
//
// The secp256k1 prime is equivalent to 2^256 - 4294968273, so it fits
// this criteria.
//
// 4294968273 in field representation (base 2^26) is:
// n[0] = 977
// n[1] = 64
// That is to say (2^26 * 64) + 977 = 4294968273
//
// Since each word is in base 26, the upper terms (t10 and up) start
// at 260 bits (versus the final desired range of 256 bits), so the
// field representation of 'c' from above needs to be adjusted for the
// extra 4 bits by multiplying it by 2^4 = 16. 4294968273 * 16 =
// 68719492368. Thus, the adjusted field representation of 'c' is:
// n[0] = 977 * 16 = 15632
// n[1] = 64 * 16 = 1024
// That is to say (2^26 * 1024) + 15632 = 68719492368
//
// To reduce the final term, t19, the entire 'c' value is needed instead
// of only n[0] because there are no more terms left to handle n[1].
// This means there might be some magnitude left in the upper bits that
// is handled below.
m = t0 + t10*15632
t0 = m & fieldBaseMask
m = (m >> fieldBase) + t1 + t10*1024 + t11*15632
t1 = m & fieldBaseMask
m = (m >> fieldBase) + t2 + t11*1024 + t12*15632
t2 = m & fieldBaseMask
m = (m >> fieldBase) + t3 + t12*1024 + t13*15632
t3 = m & fieldBaseMask
m = (m >> fieldBase) + t4 + t13*1024 + t14*15632
t4 = m & fieldBaseMask
m = (m >> fieldBase) + t5 + t14*1024 + t15*15632
t5 = m & fieldBaseMask
m = (m >> fieldBase) + t6 + t15*1024 + t16*15632
t6 = m & fieldBaseMask
m = (m >> fieldBase) + t7 + t16*1024 + t17*15632
t7 = m & fieldBaseMask
m = (m >> fieldBase) + t8 + t17*1024 + t18*15632
t8 = m & fieldBaseMask
m = (m >> fieldBase) + t9 + t18*1024 + t19*68719492368
t9 = m & fieldMSBMask
m = m >> fieldMSBBits
// At this point, if the magnitude is greater than 0, the overall value
// is greater than the max possible 256-bit value. In particular, it is
// "how many times larger" than the max value it is.
//
// The algorithm presented in [HAC] section 14.3.4 repeats until the
// quotient is zero. However, due to the above, we already know at
// least how many times we would need to repeat as it's the value
// currently in m. Thus we can simply multiply the magnitude by the
// field representation of the prime and do a single iteration. Notice
// that nothing will be changed when the magnitude is zero, so we could
// skip this in that case, however always running regardless allows it
// to run in constant time. The final result will be in the range
// 0 <= result <= prime + (2^64 - c), so it is guaranteed to have a
// magnitude of 1, but it is denormalized.
n := t0 + m*977
f.n[0] = uint32(n & fieldBaseMask)
n = (n >> fieldBase) + t1 + m*64
f.n[1] = uint32(n & fieldBaseMask)
f.n[2] = uint32((n >> fieldBase) + t2)
f.n[3] = uint32(t3)
f.n[4] = uint32(t4)
f.n[5] = uint32(t5)
f.n[6] = uint32(t6)
f.n[7] = uint32(t7)
f.n[8] = uint32(t8)
f.n[9] = uint32(t9)
return f
}
// Inverse finds the modular multiplicative inverse of the field value. The
// existing field value is modified.
//
// The field value is returned to support chaining. This enables syntax like:
// f.Inverse().Mul(f2) so that f = f^-1 * f2.
func (f *fieldVal) Inverse() *fieldVal {
// Fermat's little theorem states that for a nonzero number a and prime
// prime p, a^(p-1) = 1 (mod p). Since the multipliciative inverse is
// a*b = 1 (mod p), it follows that b = a*a^(p-2) = a^(p-1) = 1 (mod p).
// Thus, a^(p-2) is the multiplicative inverse.
//
// In order to efficiently compute a^(p-2), p-2 needs to be split into
// a sequence of squares and multipications that minimizes the number of
// multiplications needed (since they are more costly than squarings).
// Intermediate results are saved and reused as well.
//
// The secp256k1 prime - 2 is 2^256 - 4294968275.
//
// This has a cost of 258 field squarings and 33 field multiplications.
var a2, a3, a4, a10, a11, a21, a42, a45, a63, a1019, a1023 fieldVal
a2.SquareVal(f)
a3.Mul2(&a2, f)
a4.SquareVal(&a2)
a10.SquareVal(&a4).Mul(&a2)
a11.Mul2(&a10, f)
a21.Mul2(&a10, &a11)
a42.SquareVal(&a21)
a45.Mul2(&a42, &a3)
a63.Mul2(&a42, &a21)
a1019.SquareVal(&a63).Square().Square().Square().Mul(&a11)
a1023.Mul2(&a1019, &a4)
f.Set(&a63) // f = a^(2^6 - 1)
f.Square().Square().Square().Square().Square() // f = a^(2^11 - 32)
f.Square().Square().Square().Square().Square() // f = a^(2^16 - 1024)
f.Mul(&a1023) // f = a^(2^16 - 1)
f.Square().Square().Square().Square().Square() // f = a^(2^21 - 32)
f.Square().Square().Square().Square().Square() // f = a^(2^26 - 1024)
f.Mul(&a1023) // f = a^(2^26 - 1)
f.Square().Square().Square().Square().Square() // f = a^(2^31 - 32)
f.Square().Square().Square().Square().Square() // f = a^(2^36 - 1024)
f.Mul(&a1023) // f = a^(2^36 - 1)
f.Square().Square().Square().Square().Square() // f = a^(2^41 - 32)
f.Square().Square().Square().Square().Square() // f = a^(2^46 - 1024)
f.Mul(&a1023) // f = a^(2^46 - 1)
f.Square().Square().Square().Square().Square() // f = a^(2^51 - 32)
f.Square().Square().Square().Square().Square() // f = a^(2^56 - 1024)
f.Mul(&a1023) // f = a^(2^56 - 1)
f.Square().Square().Square().Square().Square() // f = a^(2^61 - 32)
f.Square().Square().Square().Square().Square() // f = a^(2^66 - 1024)
f.Mul(&a1023) // f = a^(2^66 - 1)
f.Square().Square().Square().Square().Square() // f = a^(2^71 - 32)
f.Square().Square().Square().Square().Square() // f = a^(2^76 - 1024)
f.Mul(&a1023) // f = a^(2^76 - 1)
f.Square().Square().Square().Square().Square() // f = a^(2^81 - 32)
f.Square().Square().Square().Square().Square() // f = a^(2^86 - 1024)
f.Mul(&a1023) // f = a^(2^86 - 1)
f.Square().Square().Square().Square().Square() // f = a^(2^91 - 32)
f.Square().Square().Square().Square().Square() // f = a^(2^96 - 1024)
f.Mul(&a1023) // f = a^(2^96 - 1)
f.Square().Square().Square().Square().Square() // f = a^(2^101 - 32)
f.Square().Square().Square().Square().Square() // f = a^(2^106 - 1024)
f.Mul(&a1023) // f = a^(2^106 - 1)
f.Square().Square().Square().Square().Square() // f = a^(2^111 - 32)
f.Square().Square().Square().Square().Square() // f = a^(2^116 - 1024)
f.Mul(&a1023) // f = a^(2^116 - 1)
f.Square().Square().Square().Square().Square() // f = a^(2^121 - 32)
f.Square().Square().Square().Square().Square() // f = a^(2^126 - 1024)
f.Mul(&a1023) // f = a^(2^126 - 1)
f.Square().Square().Square().Square().Square() // f = a^(2^131 - 32)
f.Square().Square().Square().Square().Square() // f = a^(2^136 - 1024)
f.Mul(&a1023) // f = a^(2^136 - 1)
f.Square().Square().Square().Square().Square() // f = a^(2^141 - 32)
f.Square().Square().Square().Square().Square() // f = a^(2^146 - 1024)
f.Mul(&a1023) // f = a^(2^146 - 1)
f.Square().Square().Square().Square().Square() // f = a^(2^151 - 32)
f.Square().Square().Square().Square().Square() // f = a^(2^156 - 1024)
f.Mul(&a1023) // f = a^(2^156 - 1)
f.Square().Square().Square().Square().Square() // f = a^(2^161 - 32)
f.Square().Square().Square().Square().Square() // f = a^(2^166 - 1024)
f.Mul(&a1023) // f = a^(2^166 - 1)
f.Square().Square().Square().Square().Square() // f = a^(2^171 - 32)
f.Square().Square().Square().Square().Square() // f = a^(2^176 - 1024)
f.Mul(&a1023) // f = a^(2^176 - 1)
f.Square().Square().Square().Square().Square() // f = a^(2^181 - 32)
f.Square().Square().Square().Square().Square() // f = a^(2^186 - 1024)
f.Mul(&a1023) // f = a^(2^186 - 1)
f.Square().Square().Square().Square().Square() // f = a^(2^191 - 32)
f.Square().Square().Square().Square().Square() // f = a^(2^196 - 1024)
f.Mul(&a1023) // f = a^(2^196 - 1)
f.Square().Square().Square().Square().Square() // f = a^(2^201 - 32)
f.Square().Square().Square().Square().Square() // f = a^(2^206 - 1024)
f.Mul(&a1023) // f = a^(2^206 - 1)
f.Square().Square().Square().Square().Square() // f = a^(2^211 - 32)
f.Square().Square().Square().Square().Square() // f = a^(2^216 - 1024)
f.Mul(&a1023) // f = a^(2^216 - 1)
f.Square().Square().Square().Square().Square() // f = a^(2^221 - 32)
f.Square().Square().Square().Square().Square() // f = a^(2^226 - 1024)
f.Mul(&a1019) // f = a^(2^226 - 5)
f.Square().Square().Square().Square().Square() // f = a^(2^231 - 160)
f.Square().Square().Square().Square().Square() // f = a^(2^236 - 5120)
f.Mul(&a1023) // f = a^(2^236 - 4097)
f.Square().Square().Square().Square().Square() // f = a^(2^241 - 131104)
f.Square().Square().Square().Square().Square() // f = a^(2^246 - 4195328)
f.Mul(&a1023) // f = a^(2^246 - 4194305)
f.Square().Square().Square().Square().Square() // f = a^(2^251 - 134217760)
f.Square().Square().Square().Square().Square() // f = a^(2^256 - 4294968320)
return f.Mul(&a45) // f = a^(2^256 - 4294968275) = a^(p-2)
}
// SqrtVal computes the square root of x modulo the curve's prime, and stores
// the result in f. The square root is computed via exponentiation of x by the
// value Q = (P+1)/4 using the curve's precomputed big-endian representation of
// the Q. This method uses a modified version of square-and-multiply
// exponentiation over secp256k1 fieldVals to operate on bytes instead of bits,
// which offers better performance over both big.Int exponentiation and bit-wise
// square-and-multiply.
//
// NOTE: This method only works when P is intended to be the secp256k1 prime and
// is not constant time. The returned value is of magnitude 1, but is
// denormalized.
func (f *fieldVal) SqrtVal(x *fieldVal) *fieldVal {
// The following computation iteratively computes x^((P+1)/4) = x^Q
// using the recursive, piece-wise definition:
//
// x^n = (x^2)^(n/2) mod P if n is even
// x^n = x(x^2)^(n-1/2) mod P if n is odd
//
// Given n in its big-endian representation b_k, ..., b_0, x^n can be
// computed by defining the sequence r_k+1, ..., r_0, where:
//
// r_k+1 = 1
// r_i = (r_i+1)^2 * x^b_i for i = k, ..., 0
//
// The final value r_0 = x^n.
//
// See https://en.wikipedia.org/wiki/Exponentiation_by_squaring for more
// details.
//
// This can be further optimized, by observing that the value of Q in
// secp256k1 has the value:
//
// Q = 3fffffffffffffffffffffffffffffffffffffffffffffffffffffffbfffff0c
//
// We can unroll the typical bit-wise interpretation of the
// exponentiation algorithm above to instead operate on bytes.
// This reduces the number of comparisons by an order of magnitude,
// reducing the overhead of failed branch predictions and additional
// comparisons in this method.
//
// Since there there are only 4 unique bytes of Q, this keeps the jump
// table small without the need to handle all possible 8-bit values.
// Further, we observe that 29 of the 32 bytes are 0xff; making the
// first case handle 0xff therefore optimizes the hot path.
f.SetInt(1)
for _, b := range fieldQBytes {
switch b {
// Most common case, where all 8 bits are set.
case 0xff:
f.Square().Mul(x)
f.Square().Mul(x)
f.Square().Mul(x)
f.Square().Mul(x)
f.Square().Mul(x)
f.Square().Mul(x)
f.Square().Mul(x)
f.Square().Mul(x)
// First byte of Q (0x3f), where all but the top two bits are
// set. Note that this case only applies six operations, since
// the highest bit of Q resides in bit six of the first byte. We
// ignore the first two bits, since squaring for these bits will
// result in an invalid result. We forgo squaring f before the
// first multiply, since 1^2 = 1.
case 0x3f:
f.Mul(x)
f.Square().Mul(x)
f.Square().Mul(x)
f.Square().Mul(x)
f.Square().Mul(x)
f.Square().Mul(x)
// Byte 28 of Q (0xbf), where only bit 7 is unset.
case 0xbf:
f.Square().Mul(x)
f.Square()
f.Square().Mul(x)
f.Square().Mul(x)
f.Square().Mul(x)
f.Square().Mul(x)
f.Square().Mul(x)
f.Square().Mul(x)
// Byte 31 of Q (0x0c), where only bits 3 and 4 are set.
default:
f.Square()
f.Square()
f.Square()
f.Square()
f.Square().Mul(x)
f.Square().Mul(x)
f.Square()
f.Square()
}
}
return f
}
// Sqrt computes the square root of f modulo the curve's prime, and stores the
// result in f. The square root is computed via exponentiation of x by the value
// Q = (P+1)/4 using the curve's precomputed big-endian representation of the Q.
// This method uses a modified version of square-and-multiply exponentiation
// over secp256k1 fieldVals to operate on bytes instead of bits, which offers
// better performance over both big.Int exponentiation and bit-wise
// square-and-multiply.
//
// NOTE: This method only works when P is intended to be the secp256k1 prime and
// is not constant time. The returned value is of magnitude 1, but is
// denormalized.
func (f *fieldVal) Sqrt() *fieldVal {
return f.SqrtVal(f)
}
================================================
FILE: evmcc/vendor/github.com/btcsuite/btcd/btcec/genprecomps.go
================================================
// Copyright 2015 The btcsuite developers
// Use of this source code is governed by an ISC
// license that can be found in the LICENSE file.
// This file is ignored during the regular build due to the following build tag.
// It is called by go generate and used to automatically generate pre-computed
// tables used to accelerate operations.
// +build ignore
package main
import (
"bytes"
"compress/zlib"
"encoding/base64"
"fmt"
"log"
"os"
"github.com/btcsuite/btcd/btcec"
)
func main() {
fi, err := os.Create("secp256k1.go")
if err != nil {
log.Fatal(err)
}
defer fi.Close()
// Compress the serialized byte points.
serialized := btcec.S256().SerializedBytePoints()
var compressed bytes.Buffer
w := zlib.NewWriter(&compressed)
if _, err := w.Write(serialized); err != nil {
fmt.Println(err)
os.Exit(1)
}
w.Close()
// Encode the compressed byte points with base64.
encoded := make([]byte, base64.StdEncoding.EncodedLen(compressed.Len()))
base64.StdEncoding.Encode(encoded, compressed.Bytes())
fmt.Fprintln(fi, "// Copyright (c) 2015 The btcsuite developers")
fmt.Fprintln(fi, "// Use of this source code is governed by an ISC")
fmt.Fprintln(fi, "// license that can be found in the LICENSE file.")
fmt.Fprintln(fi)
fmt.Fprintln(fi, "package btcec")
fmt.Fprintln(fi)
fmt.Fprintln(fi, "// Auto-generated file (see genprecomps.go)")
fmt.Fprintln(fi, "// DO NOT EDIT")
fmt.Fprintln(fi)
fmt.Fprintf(fi, "var secp256k1BytePoints = %q\n", string(encoded))
a1, b1, a2, b2 := btcec.S256().EndomorphismVectors()
fmt.Println("The following values are the computed linearly " +
"independent vectors needed to make use of the secp256k1 " +
"endomorphism:")
fmt.Printf("a1: %x\n", a1)
fmt.Printf("b1: %x\n", b1)
fmt.Printf("a2: %x\n", a2)
fmt.Printf("b2: %x\n", b2)
}
================================================
FILE: evmcc/vendor/github.com/btcsuite/btcd/btcec/gensecp256k1.go
================================================
// Copyright (c) 2014-2015 The btcsuite developers
// Use of this source code is governed by an ISC
// license that can be found in the LICENSE file.
// This file is ignored during the regular build due to the following build tag.
// This build tag is set during go generate.
// +build gensecp256k1
package btcec
// References:
// [GECC]: Guide to Elliptic Curve Cryptography (Hankerson, Menezes, Vanstone)
import (
"encoding/binary"
"math/big"
)
// secp256k1BytePoints are dummy points used so the code which generates the
// real values can compile.
var secp256k1BytePoints = ""
// getDoublingPoints returns all the possible G^(2^i) for i in
// 0..n-1 where n is the curve's bit size (256 in the case of secp256k1)
// the coordinates are recorded as Jacobian coordinates.
func (curve *KoblitzCurve) getDoublingPoints() [][3]fieldVal {
doublingPoints := make([][3]fieldVal, curve.BitSize)
// initialize px, py, pz to the Jacobian coordinates for the base point
px, py := curve.bigAffineToField(curve.Gx, curve.Gy)
pz := new(fieldVal).SetInt(1)
for i := 0; i < curve.BitSize; i++ {
doublingPoints[i] = [3]fieldVal{*px, *py, *pz}
// P = 2*P
curve.doubleJacobian(px, py, pz, px, py, pz)
}
return doublingPoints
}
// SerializedBytePoints returns a serialized byte slice which contains all of
// the possible points per 8-bit window. This is used to when generating
// secp256k1.go.
func (curve *KoblitzCurve) SerializedBytePoints() []byte {
doublingPoints := curve.getDoublingPoints()
// Segregate the bits into byte-sized windows
serialized := make([]byte, curve.byteSize*256*3*10*4)
offset := 0
for byteNum := 0; byteNum < curve.byteSize; byteNum++ {
// Grab the 8 bits that make up this byte from doublingPoints.
startingBit := 8 * (curve.byteSize - byteNum - 1)
computingPoints := doublingPoints[startingBit : startingBit+8]
// Compute all points in this window and serialize them.
for i := 0; i < 256; i++ {
px, py, pz := new(fieldVal), new(fieldVal), new(fieldVal)
for j := 0; j < 8; j++ {
if i>>uint(j)&1 == 1 {
curve.addJacobian(px, py, pz, &computingPoints[j][0],
&computingPoints[j][1], &computingPoints[j][2], px, py, pz)
}
}
for i := 0; i < 10; i++ {
binary.LittleEndian.PutUint32(serialized[offset:], px.n[i])
offset += 4
}
for i := 0; i < 10; i++ {
binary.LittleEndian.PutUint32(serialized[offset:], py.n[i])
offset += 4
}
for i := 0; i < 10; i++ {
binary.LittleEndian.PutUint32(serialized[offset:], pz.n[i])
offset += 4
}
}
}
return serialized
}
// sqrt returns the square root of the provided big integer using Newton's
// method. It's only compiled and used during generation of pre-computed
// values, so speed is not a huge concern.
func sqrt(n *big.Int) *big.Int {
// Initial guess = 2^(log_2(n)/2)
guess := big.NewInt(2)
guess.Exp(guess, big.NewInt(int64(n.BitLen()/2)), nil)
// Now refine using Newton's method.
big2 := big.NewInt(2)
prevGuess := big.NewInt(0)
for {
prevGuess.Set(guess)
guess.Add(guess, new(big.Int).Div(n, guess))
guess.Div(guess, big2)
if guess.Cmp(prevGuess) == 0 {
break
}
}
return guess
}
// EndomorphismVectors runs the first 3 steps of algorithm 3.74 from [GECC] to
// generate the linearly independent vectors needed to generate a balanced
// length-two representation of a multiplier such that k = k1 + k2λ (mod N) and
// returns them. Since the values will always be the same given the fact that N
// and λ are fixed, the final results can be accelerated by storing the
// precomputed values with the curve.
func (curve *KoblitzCurve) EndomorphismVectors() (a1, b1, a2, b2 *big.Int) {
bigMinus1 := big.NewInt(-1)
// This section uses an extended Euclidean algorithm to generate a
// sequence of equations:
// s[i] * N + t[i] * λ = r[i]
nSqrt := sqrt(curve.N)
u, v := new(big.Int).Set(curve.N), new(big.Int).Set(curve.lambda)
x1, y1 := big.NewInt(1), big.NewInt(0)
x2, y2 := big.NewInt(0), big.NewInt(1)
q, r := new(big.Int), new(big.Int)
qu, qx1, qy1 := new(big.Int), new(big.Int), new(big.Int)
s, t := new(big.Int), new(big.Int)
ri, ti := new(big.Int), new(big.Int)
a1, b1, a2, b2 = new(big.Int), new(big.Int), new(big.Int), new(big.Int)
found, oneMore := false, false
for u.Sign() != 0 {
// q = v/u
q.Div(v, u)
// r = v - q*u
qu.Mul(q, u)
r.Sub(v, qu)
// s = x2 - q*x1
qx1.Mul(q, x1)
s.Sub(x2, qx1)
// t = y2 - q*y1
qy1.Mul(q, y1)
t.Sub(y2, qy1)
// v = u, u = r, x2 = x1, x1 = s, y2 = y1, y1 = t
v.Set(u)
u.Set(r)
x2.Set(x1)
x1.Set(s)
y2.Set(y1)
y1.Set(t)
// As soon as the remainder is less than the sqrt of n, the
// values of a1 and b1 are known.
if !found && r.Cmp(nSqrt) < 0 {
// When this condition executes ri and ti represent the
// r[i] and t[i] values such that i is the greatest
// index for which r >= sqrt(n). Meanwhile, the current
// r and t values are r[i+1] and t[i+1], respectively.
// a1 = r[i+1], b1 = -t[i+1]
a1.Set(r)
b1.Mul(t, bigMinus1)
found = true
oneMore = true
// Skip to the next iteration so ri and ti are not
// modified.
continue
} else if oneMore {
// When this condition executes ri and ti still
// represent the r[i] and t[i] values while the current
// r and t are r[i+2] and t[i+2], respectively.
// sum1 = r[i]^2 + t[i]^2
rSquared := new(big.Int).Mul(ri, ri)
tSquared := new(big.Int).Mul(ti, ti)
sum1 := new(big.Int).Add(rSquared, tSquared)
// sum2 = r[i+2]^2 + t[i+2]^2
r2Squared := new(big.Int).Mul(r, r)
t2Squared := new(big.Int).Mul(t, t)
sum2 := new(big.Int).Add(r2Squared, t2Squared)
// if (r[i]^2 + t[i]^2) <= (r[i+2]^2 + t[i+2]^2)
if sum1.Cmp(sum2) <= 0 {
// a2 = r[i], b2 = -t[i]
a2.Set(ri)
b2.Mul(ti, bigMinus1)
} else {
// a2 = r[i+2], b2 = -t[i+2]
a2.Set(r)
b2.Mul(t, bigMinus1)
}
// All done.
break
}
ri.Set(r)
ti.Set(t)
}
return a1, b1, a2, b2
}
================================================
FILE: evmcc/vendor/github.com/btcsuite/btcd/btcec/precompute.go
================================================
// Copyright 2015 The btcsuite developers
// Use of this source code is governed by an ISC
// license that can be found in the LICENSE file.
package btcec
import (
"compress/zlib"
"encoding/base64"
"encoding/binary"
"io/ioutil"
"strings"
)
//go:generate go run -tags gensecp256k1 genprecomps.go
// loadS256BytePoints decompresses and deserializes the pre-computed byte points
// used to accelerate scalar base multiplication for the secp256k1 curve. This
// approach is used since it allows the compile to use significantly less ram
// and be performed much faster than it is with hard-coding the final in-memory
// data structure. At the same time, it is quite fast to generate the in-memory
// data structure at init time with this approach versus computing the table.
func loadS256BytePoints() error {
// There will be no byte points to load when generating them.
bp := secp256k1BytePoints
if len(bp) == 0 {
return nil
}
// Decompress the pre-computed table used to accelerate scalar base
// multiplication.
decoder := base64.NewDecoder(base64.StdEncoding, strings.NewReader(bp))
r, err := zlib.NewReader(decoder)
if err != nil {
return err
}
serialized, err := ioutil.ReadAll(r)
if err != nil {
return err
}
// Deserialize the precomputed byte points and set the curve to them.
offset := 0
var bytePoints [32][256][3]fieldVal
for byteNum := 0; byteNum < 32; byteNum++ {
// All points in this window.
for i := 0; i < 256; i++ {
px := &bytePoints[byteNum][i][0]
py := &bytePoints[byteNum][i][1]
pz := &bytePoints[byteNum][i][2]
for i := 0; i < 10; i++ {
px.n[i] = binary.LittleEndian.Uint32(serialized[offset:])
offset += 4
}
for i := 0; i < 10; i++ {
py.n[i] = binary.LittleEndian.Uint32(serialized[offset:])
offset += 4
}
for i := 0; i < 10; i++ {
pz.n[i] = binary.LittleEndian.Uint32(serialized[offset:])
offset += 4
}
}
}
secp256k1.bytePoints = &bytePoints
return nil
}
================================================
FILE: evmcc/vendor/github.com/btcsuite/btcd/btcec/privkey.go
================================================
// Copyright (c) 2013-2016 The btcsuite developers
// Use of this source code is governed by an ISC
// license that can be found in the LICENSE file.
package btcec
import (
"crypto/ecdsa"
"crypto/elliptic"
"crypto/rand"
"math/big"
)
// PrivateKey wraps an ecdsa.PrivateKey as a convenience mainly for signing
// things with the the private key without having to directly import the ecdsa
// package.
type PrivateKey ecdsa.PrivateKey
// PrivKeyFromBytes returns a private and public key for `curve' based on the
// private key passed as an argument as a byte slice.
func PrivKeyFromBytes(curve elliptic.Curve, pk []byte) (*PrivateKey,
*PublicKey) {
x, y := curve.ScalarBaseMult(pk)
priv := &ecdsa.PrivateKey{
PublicKey: ecdsa.PublicKey{
Curve: curve,
X: x,
Y: y,
},
D: new(big.Int).SetBytes(pk),
}
return (*PrivateKey)(priv), (*PublicKey)(&priv.PublicKey)
}
// NewPrivateKey is a wrapper for ecdsa.GenerateKey that returns a PrivateKey
// instead of the normal ecdsa.PrivateKey.
func NewPrivateKey(curve elliptic.Curve) (*PrivateKey, error) {
key, err := ecdsa.GenerateKey(curve, rand.Reader)
if err != nil {
return nil, err
}
return (*PrivateKey)(key), nil
}
// PubKey returns the PublicKey corresponding to this private key.
func (p *PrivateKey) PubKey() *PublicKey {
return (*PublicKey)(&p.PublicKey)
}
// ToECDSA returns the private key as a *ecdsa.PrivateKey.
func (p *PrivateKey) ToECDSA() *ecdsa.PrivateKey {
return (*ecdsa.PrivateKey)(p)
}
// Sign generates an ECDSA signature for the provided hash (which should be the result
// of hashing a larger message) using the private key. Produced signature
// is deterministic (same message and same key yield the same signature) and canonical
// in accordance with RFC6979 and BIP0062.
func (p *PrivateKey) Sign(hash []byte) (*Signature, error) {
return signRFC6979(p, hash)
}
// PrivKeyBytesLen defines the length in bytes of a serialized private key.
const PrivKeyBytesLen = 32
// Serialize returns the private key number d as a big-endian binary-encoded
// number, padded to a length of 32 bytes.
func (p *PrivateKey) Serialize() []byte {
b := make([]byte, 0, PrivKeyBytesLen)
return paddedAppend(PrivKeyBytesLen, b, p.ToECDSA().D.Bytes())
}
================================================
FILE: evmcc/vendor/github.com/btcsuite/btcd/btcec/pubkey.go
================================================
// Copyright (c) 2013-2014 The btcsuite developers
// Use of this source code is governed by an ISC
// license that can be found in the LICENSE file.
package btcec
import (
"crypto/ecdsa"
"errors"
"fmt"
"math/big"
)
// These constants define the lengths of serialized public keys.
const (
PubKeyBytesLenCompressed = 33
PubKeyBytesLenUncompressed = 65
PubKeyBytesLenHybrid = 65
)
func isOdd(a *big.Int) bool {
return a.Bit(0) == 1
}
// decompressPoint decompresses a point on the secp256k1 curve given the X point and
// the solution to use.
func decompressPoint(curve *KoblitzCurve, bigX *big.Int, ybit bool) (*big.Int, error) {
var x fieldVal
x.SetByteSlice(bigX.Bytes())
// Compute x^3 + B mod p.
var x3 fieldVal
x3.SquareVal(&x).Mul(&x)
x3.Add(curve.fieldB).Normalize()
// Now calculate sqrt mod p of x^3 + B
// This code used to do a full sqrt based on tonelli/shanks,
// but this was replaced by the algorithms referenced in
// https://bitcointalk.org/index.php?topic=162805.msg1712294#msg1712294
var y fieldVal
y.SqrtVal(&x3).Normalize()
if ybit != y.IsOdd() {
y.Negate(1).Normalize()
}
// Check that y is a square root of x^3 + B.
var y2 fieldVal
y2.SquareVal(&y).Normalize()
if !y2.Equals(&x3) {
return nil, fmt.Errorf("invalid square root")
}
// Verify that y-coord has expected parity.
if ybit != y.IsOdd() {
return nil, fmt.Errorf("ybit doesn't match oddness")
}
return new(big.Int).SetBytes(y.Bytes()[:]), nil
}
const (
pubkeyCompressed byte = 0x2 // y_bit + x coord
pubkeyUncompressed byte = 0x4 // x coord + y coord
pubkeyHybrid byte = 0x6 // y_bit + x coord + y coord
)
// IsCompressedPubKey returns true the the passed serialized public key has
// been encoded in compressed format, and false otherwise.
func IsCompressedPubKey(pubKey []byte) bool {
// The public key is only compressed if it is the correct length and
// the format (first byte) is one of the compressed pubkey values.
return len(pubKey) == PubKeyBytesLenCompressed &&
(pubKey[0]&^byte(0x1) == pubkeyCompressed)
}
// ParsePubKey parses a public key for a koblitz curve from a bytestring into a
// ecdsa.Publickey, verifying that it is valid. It supports compressed,
// uncompressed and hybrid signature formats.
func ParsePubKey(pubKeyStr []byte, curve *KoblitzCurve) (key *PublicKey, err error) {
pubkey := PublicKey{}
pubkey.Curve = curve
if len(pubKeyStr) == 0 {
return nil, errors.New("pubkey string is empty")
}
format := pubKeyStr[0]
ybit := (format & 0x1) == 0x1
format &= ^byte(0x1)
switch len(pubKeyStr) {
case PubKeyBytesLenUncompressed:
if format != pubkeyUncompressed && format != pubkeyHybrid {
return nil, fmt.Errorf("invalid magic in pubkey str: "+
"%d", pubKeyStr[0])
}
pubkey.X = new(big.Int).SetBytes(pubKeyStr[1:33])
pubkey.Y = new(big.Int).SetBytes(pubKeyStr[33:])
// hybrid keys have extra information, make use of it.
if format == pubkeyHybrid && ybit != isOdd(pubkey.Y) {
return nil, fmt.Errorf("ybit doesn't match oddness")
}
if pubkey.X.Cmp(pubkey.Curve.Params().P) >= 0 {
return nil, fmt.Errorf("pubkey X parameter is >= to P")
}
if pubkey.Y.Cmp(pubkey.Curve.Params().P) >= 0 {
return nil, fmt.Errorf("pubkey Y parameter is >= to P")
}
if !pubkey.Curve.IsOnCurve(pubkey.X, pubkey.Y) {
return nil, fmt.Errorf("pubkey isn't on secp256k1 curve")
}
case PubKeyBytesLenCompressed:
// format is 0x2 | solution,
// solution determines which solution of the curve we use.
/// y^2 = x^3 + Curve.B
if format != pubkeyCompressed {
return nil, fmt.Errorf("invalid magic in compressed "+
"pubkey string: %d", pubKeyStr[0])
}
pubkey.X = new(big.Int).SetBytes(pubKeyStr[1:33])
pubkey.Y, err = decompressPoint(curve, pubkey.X, ybit)
if err != nil {
return nil, err
}
default: // wrong!
return nil, fmt.Errorf("invalid pub key length %d",
len(pubKeyStr))
}
return &pubkey, nil
}
// PublicKey is an ecdsa.PublicKey with additional functions to
// serialize in uncompressed, compressed, and hybrid formats.
type PublicKey ecdsa.PublicKey
// ToECDSA returns the public key as a *ecdsa.PublicKey.
func (p *PublicKey) ToECDSA() *ecdsa.PublicKey {
return (*ecdsa.PublicKey)(p)
}
// SerializeUncompressed serializes a public key in a 65-byte uncompressed
// format.
func (p *PublicKey) SerializeUncompressed() []byte {
b := make([]byte, 0, PubKeyBytesLenUncompressed)
b = append(b, pubkeyUncompressed)
b = paddedAppend(32, b, p.X.Bytes())
return paddedAppend(32, b, p.Y.Bytes())
}
// SerializeCompressed serializes a public key in a 33-byte compressed format.
func (p *PublicKey) SerializeCompressed() []byte {
b := make([]byte, 0, PubKeyBytesLenCompressed)
format := pubkeyCompressed
if isOdd(p.Y) {
format |= 0x1
}
b = append(b, format)
return paddedAppend(32, b, p.X.Bytes())
}
// SerializeHybrid serializes a public key in a 65-byte hybrid format.
func (p *PublicKey) SerializeHybrid() []byte {
b := make([]byte, 0, PubKeyBytesLenHybrid)
format := pubkeyHybrid
if isOdd(p.Y) {
format |= 0x1
}
b = append(b, format)
b = paddedAppend(32, b, p.X.Bytes())
return paddedAppend(32, b, p.Y.Bytes())
}
// IsEqual compares this PublicKey instance to the one passed, returning true if
// both PublicKeys are equivalent. A PublicKey is equivalent to another, if they
// both have the same X and Y coordinate.
func (p *PublicKey) IsEqual(otherPubKey *PublicKey) bool {
return p.X.Cmp(otherPubKey.X) == 0 &&
p.Y.Cmp(otherPubKey.Y) == 0
}
// paddedAppend appends the src byte slice to dst, returning the new slice.
// If the length of the source is smaller than the passed size, leading zero
// bytes are appended to the dst slice before appending src.
func paddedAppend(size uint, dst, src []byte) []byte {
for i := 0; i < int(size)-len(src); i++ {
dst = append(dst, 0)
}
return append(dst, src...)
}
================================================
FILE: evmcc/vendor/github.com/btcsuite/btcd/btcec/secp256k1.go
================================================
// Copyright (c) 2015 The btcsuite developers
// Use of this source code is governed by an ISC
// license that can be found in the LICENSE file.
package btcec
// Auto-generated file (see genprecomps.go)
// DO NOT EDIT
var secp256k1BytePoints = "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"
================================================
FILE: evmcc/vendor/github.com/btcsuite/btcd/btcec/signature.go
================================================
// Copyright (c) 2013-2017 The btcsuite developers
// Use of this source code is governed by an ISC
// license that can be found in the LICENSE file.
package btcec
import (
"bytes"
"crypto/ecdsa"
"crypto/elliptic"
"crypto/hmac"
"crypto/sha256"
"errors"
"fmt"
"hash"
"math/big"
)
// Errors returned by canonicalPadding.
var (
errNegativeValue = errors.New("value may be interpreted as negative")
errExcessivelyPaddedValue = errors.New("value is excessively padded")
)
// Signature is a type representing an ecdsa signature.
type Signature struct {
R *big.Int
S *big.Int
}
var (
// Used in RFC6979 implementation when testing the nonce for correctness
one = big.NewInt(1)
// oneInitializer is used to fill a byte slice with byte 0x01. It is provided
// here to avoid the need to create it multiple times.
oneInitializer = []byte{0x01}
)
// Serialize returns the ECDSA signature in the more strict DER format. Note
// that the serialized bytes returned do not include the appended hash type
// used in Bitcoin signature scripts.
//
// encoding/asn1 is broken so we hand roll this output:
//
// 0x30 0x02 r 0x02 s
func (sig *Signature) Serialize() []byte {
// low 'S' malleability breaker
sigS := sig.S
if sigS.Cmp(S256().halfOrder) == 1 {
sigS = new(big.Int).Sub(S256().N, sigS)
}
// Ensure the encoded bytes for the r and s values are canonical and
// thus suitable for DER encoding.
rb := canonicalizeInt(sig.R)
sb := canonicalizeInt(sigS)
// total length of returned signature is 1 byte for each magic and
// length (6 total), plus lengths of r and s
length := 6 + len(rb) + len(sb)
b := make([]byte, length)
b[0] = 0x30
b[1] = byte(length - 2)
b[2] = 0x02
b[3] = byte(len(rb))
offset := copy(b[4:], rb) + 4
b[offset] = 0x02
b[offset+1] = byte(len(sb))
copy(b[offset+2:], sb)
return b
}
// Verify calls ecdsa.Verify to verify the signature of hash using the public
// key. It returns true if the signature is valid, false otherwise.
func (sig *Signature) Verify(hash []byte, pubKey *PublicKey) bool {
return ecdsa.Verify(pubKey.ToECDSA(), hash, sig.R, sig.S)
}
// IsEqual compares this Signature instance to the one passed, returning true
// if both Signatures are equivalent. A signature is equivalent to another, if
// they both have the same scalar value for R and S.
func (sig *Signature) IsEqual(otherSig *Signature) bool {
return sig.R.Cmp(otherSig.R) == 0 &&
sig.S.Cmp(otherSig.S) == 0
}
// MinSigLen is the minimum length of a DER encoded signature and is when both R
// and S are 1 byte each.
// 0x30 + <1-byte> + 0x02 + 0x01 + + 0x2 + 0x01 +
const MinSigLen = 8
func parseSig(sigStr []byte, curve elliptic.Curve, der bool) (*Signature, error) {
// Originally this code used encoding/asn1 in order to parse the
// signature, but a number of problems were found with this approach.
// Despite the fact that signatures are stored as DER, the difference
// between go's idea of a bignum (and that they have sign) doesn't agree
// with the openssl one (where they do not). The above is true as of
// Go 1.1. In the end it was simpler to rewrite the code to explicitly
// understand the format which is this:
// 0x30 <0x02> 0x2
// .
signature := &Signature{}
if len(sigStr) < MinSigLen {
return nil, errors.New("malformed signature: too short")
}
// 0x30
index := 0
if sigStr[index] != 0x30 {
return nil, errors.New("malformed signature: no header magic")
}
index++
// length of remaining message
siglen := sigStr[index]
index++
// siglen should be less than the entire message and greater than
// the minimal message size.
if int(siglen+2) > len(sigStr) || int(siglen+2) < MinSigLen {
return nil, errors.New("malformed signature: bad length")
}
// trim the slice we're working on so we only look at what matters.
sigStr = sigStr[:siglen+2]
// 0x02
if sigStr[index] != 0x02 {
return nil,
errors.New("malformed signature: no 1st int marker")
}
index++
// Length of signature R.
rLen := int(sigStr[index])
// must be positive, must be able to fit in another 0x2,
// hence the -3. We assume that the length must be at least one byte.
index++
if rLen <= 0 || rLen > len(sigStr)-index-3 {
return nil, errors.New("malformed signature: bogus R length")
}
// Then R itself.
rBytes := sigStr[index : index+rLen]
if der {
switch err := canonicalPadding(rBytes); err {
case errNegativeValue:
return nil, errors.New("signature R is negative")
case errExcessivelyPaddedValue:
return nil, errors.New("signature R is excessively padded")
}
}
signature.R = new(big.Int).SetBytes(rBytes)
index += rLen
// 0x02. length already checked in previous if.
if sigStr[index] != 0x02 {
return nil, errors.New("malformed signature: no 2nd int marker")
}
index++
// Length of signature S.
sLen := int(sigStr[index])
index++
// S should be the rest of the string.
if sLen <= 0 || sLen > len(sigStr)-index {
return nil, errors.New("malformed signature: bogus S length")
}
// Then S itself.
sBytes := sigStr[index : index+sLen]
if der {
switch err := canonicalPadding(sBytes); err {
case errNegativeValue:
return nil, errors.New("signature S is negative")
case errExcessivelyPaddedValue:
return nil, errors.New("signature S is excessively padded")
}
}
signature.S = new(big.Int).SetBytes(sBytes)
index += sLen
// sanity check length parsing
if index != len(sigStr) {
return nil, fmt.Errorf("malformed signature: bad final length %v != %v",
index, len(sigStr))
}
// Verify also checks this, but we can be more sure that we parsed
// correctly if we verify here too.
// FWIW the ecdsa spec states that R and S must be | 1, N - 1 |
// but crypto/ecdsa only checks for Sign != 0. Mirror that.
if signature.R.Sign() != 1 {
return nil, errors.New("signature R isn't 1 or more")
}
if signature.S.Sign() != 1 {
return nil, errors.New("signature S isn't 1 or more")
}
if signature.R.Cmp(curve.Params().N) >= 0 {
return nil, errors.New("signature R is >= curve.N")
}
if signature.S.Cmp(curve.Params().N) >= 0 {
return nil, errors.New("signature S is >= curve.N")
}
return signature, nil
}
// ParseSignature parses a signature in BER format for the curve type `curve'
// into a Signature type, perfoming some basic sanity checks. If parsing
// according to the more strict DER format is needed, use ParseDERSignature.
func ParseSignature(sigStr []byte, curve elliptic.Curve) (*Signature, error) {
return parseSig(sigStr, curve, false)
}
// ParseDERSignature parses a signature in DER format for the curve type
// `curve` into a Signature type. If parsing according to the less strict
// BER format is needed, use ParseSignature.
func ParseDERSignature(sigStr []byte, curve elliptic.Curve) (*Signature, error) {
return parseSig(sigStr, curve, true)
}
// canonicalizeInt returns the bytes for the passed big integer adjusted as
// necessary to ensure that a big-endian encoded integer can't possibly be
// misinterpreted as a negative number. This can happen when the most
// significant bit is set, so it is padded by a leading zero byte in this case.
// Also, the returned bytes will have at least a single byte when the passed
// value is 0. This is required for DER encoding.
func canonicalizeInt(val *big.Int) []byte {
b := val.Bytes()
if len(b) == 0 {
b = []byte{0x00}
}
if b[0]&0x80 != 0 {
paddedBytes := make([]byte, len(b)+1)
copy(paddedBytes[1:], b)
b = paddedBytes
}
return b
}
// canonicalPadding checks whether a big-endian encoded integer could
// possibly be misinterpreted as a negative number (even though OpenSSL
// treats all numbers as unsigned), or if there is any unnecessary
// leading zero padding.
func canonicalPadding(b []byte) error {
switch {
case b[0]&0x80 == 0x80:
return errNegativeValue
case len(b) > 1 && b[0] == 0x00 && b[1]&0x80 != 0x80:
return errExcessivelyPaddedValue
default:
return nil
}
}
// hashToInt converts a hash value to an integer. There is some disagreement
// about how this is done. [NSA] suggests that this is done in the obvious
// manner, but [SECG] truncates the hash to the bit-length of the curve order
// first. We follow [SECG] because that's what OpenSSL does. Additionally,
// OpenSSL right shifts excess bits from the number if the hash is too large
// and we mirror that too.
// This is borrowed from crypto/ecdsa.
func hashToInt(hash []byte, c elliptic.Curve) *big.Int {
orderBits := c.Params().N.BitLen()
orderBytes := (orderBits + 7) / 8
if len(hash) > orderBytes {
hash = hash[:orderBytes]
}
ret := new(big.Int).SetBytes(hash)
excess := len(hash)*8 - orderBits
if excess > 0 {
ret.Rsh(ret, uint(excess))
}
return ret
}
// recoverKeyFromSignature recovers a public key from the signature "sig" on the
// given message hash "msg". Based on the algorithm found in section 4.1.6 of
// SEC 1 Ver 2.0, page 47-48 (53 and 54 in the pdf). This performs the details
// in the inner loop in Step 1. The counter provided is actually the j parameter
// of the loop * 2 - on the first iteration of j we do the R case, else the -R
// case in step 1.6. This counter is used in the bitcoin compressed signature
// format and thus we match bitcoind's behaviour here.
func recoverKeyFromSignature(curve *KoblitzCurve, sig *Signature, msg []byte,
iter int, doChecks bool) (*PublicKey, error) {
// 1.1 x = (n * i) + r
Rx := new(big.Int).Mul(curve.Params().N,
new(big.Int).SetInt64(int64(iter/2)))
Rx.Add(Rx, sig.R)
if Rx.Cmp(curve.Params().P) != -1 {
return nil, errors.New("calculated Rx is larger than curve P")
}
// convert 02 to point R. (step 1.2 and 1.3). If we are on an odd
// iteration then 1.6 will be done with -R, so we calculate the other
// term when uncompressing the point.
Ry, err := decompressPoint(curve, Rx, iter%2 == 1)
if err != nil {
return nil, err
}
// 1.4 Check n*R is point at infinity
if doChecks {
nRx, nRy := curve.ScalarMult(Rx, Ry, curve.Params().N.Bytes())
if nRx.Sign() != 0 || nRy.Sign() != 0 {
return nil, errors.New("n*R does not equal the point at infinity")
}
}
// 1.5 calculate e from message using the same algorithm as ecdsa
// signature calculation.
e := hashToInt(msg, curve)
// Step 1.6.1:
// We calculate the two terms sR and eG separately multiplied by the
// inverse of r (from the signature). We then add them to calculate
// Q = r^-1(sR-eG)
invr := new(big.Int).ModInverse(sig.R, curve.Params().N)
// first term.
invrS := new(big.Int).Mul(invr, sig.S)
invrS.Mod(invrS, curve.Params().N)
sRx, sRy := curve.ScalarMult(Rx, Ry, invrS.Bytes())
// second term.
e.Neg(e)
e.Mod(e, curve.Params().N)
e.Mul(e, invr)
e.Mod(e, curve.Params().N)
minuseGx, minuseGy := curve.ScalarBaseMult(e.Bytes())
// TODO: this would be faster if we did a mult and add in one
// step to prevent the jacobian conversion back and forth.
Qx, Qy := curve.Add(sRx, sRy, minuseGx, minuseGy)
return &PublicKey{
Curve: curve,
X: Qx,
Y: Qy,
}, nil
}
// SignCompact produces a compact signature of the data in hash with the given
// private key on the given koblitz curve. The isCompressed parameter should
// be used to detail if the given signature should reference a compressed
// public key or not. If successful the bytes of the compact signature will be
// returned in the format:
// <(byte of 27+public key solution)+4 if compressed >< padded bytes for signature R>
// where the R and S parameters are padde up to the bitlengh of the curve.
func SignCompact(curve *KoblitzCurve, key *PrivateKey,
hash []byte, isCompressedKey bool) ([]byte, error) {
sig, err := key.Sign(hash)
if err != nil {
return nil, err
}
// bitcoind checks the bit length of R and S here. The ecdsa signature
// algorithm returns R and S mod N therefore they will be the bitsize of
// the curve, and thus correctly sized.
for i := 0; i < (curve.H+1)*2; i++ {
pk, err := recoverKeyFromSignature(curve, sig, hash, i, true)
if err == nil && pk.X.Cmp(key.X) == 0 && pk.Y.Cmp(key.Y) == 0 {
result := make([]byte, 1, 2*curve.byteSize+1)
result[0] = 27 + byte(i)
if isCompressedKey {
result[0] += 4
}
// Not sure this needs rounding but safer to do so.
curvelen := (curve.BitSize + 7) / 8
// Pad R and S to curvelen if needed.
bytelen := (sig.R.BitLen() + 7) / 8
if bytelen < curvelen {
result = append(result,
make([]byte, curvelen-bytelen)...)
}
result = append(result, sig.R.Bytes()...)
bytelen = (sig.S.BitLen() + 7) / 8
if bytelen < curvelen {
result = append(result,
make([]byte, curvelen-bytelen)...)
}
result = append(result, sig.S.Bytes()...)
return result, nil
}
}
return nil, errors.New("no valid solution for pubkey found")
}
// RecoverCompact verifies the compact signature "signature" of "hash" for the
// Koblitz curve in "curve". If the signature matches then the recovered public
// key will be returned as well as a boolen if the original key was compressed
// or not, else an error will be returned.
func RecoverCompact(curve *KoblitzCurve, signature,
hash []byte) (*PublicKey, bool, error) {
bitlen := (curve.BitSize + 7) / 8
if len(signature) != 1+bitlen*2 {
return nil, false, errors.New("invalid compact signature size")
}
iteration := int((signature[0] - 27) & ^byte(4))
// format is
sig := &Signature{
R: new(big.Int).SetBytes(signature[1 : bitlen+1]),
S: new(big.Int).SetBytes(signature[bitlen+1:]),
}
// The iteration used here was encoded
key, err := recoverKeyFromSignature(curve, sig, hash, iteration, false)
if err != nil {
return nil, false, err
}
return key, ((signature[0] - 27) & 4) == 4, nil
}
// signRFC6979 generates a deterministic ECDSA signature according to RFC 6979 and BIP 62.
func signRFC6979(privateKey *PrivateKey, hash []byte) (*Signature, error) {
privkey := privateKey.ToECDSA()
N := S256().N
halfOrder := S256().halfOrder
k := nonceRFC6979(privkey.D, hash)
inv := new(big.Int).ModInverse(k, N)
r, _ := privkey.Curve.ScalarBaseMult(k.Bytes())
r.Mod(r, N)
if r.Sign() == 0 {
return nil, errors.New("calculated R is zero")
}
e := hashToInt(hash, privkey.Curve)
s := new(big.Int).Mul(privkey.D, r)
s.Add(s, e)
s.Mul(s, inv)
s.Mod(s, N)
if s.Cmp(halfOrder) == 1 {
s.Sub(N, s)
}
if s.Sign() == 0 {
return nil, errors.New("calculated S is zero")
}
return &Signature{R: r, S: s}, nil
}
// nonceRFC6979 generates an ECDSA nonce (`k`) deterministically according to RFC 6979.
// It takes a 32-byte hash as an input and returns 32-byte nonce to be used in ECDSA algorithm.
func nonceRFC6979(privkey *big.Int, hash []byte) *big.Int {
curve := S256()
q := curve.Params().N
x := privkey
alg := sha256.New
qlen := q.BitLen()
holen := alg().Size()
rolen := (qlen + 7) >> 3
bx := append(int2octets(x, rolen), bits2octets(hash, curve, rolen)...)
// Step B
v := bytes.Repeat(oneInitializer, holen)
// Step C (Go zeroes the all allocated memory)
k := make([]byte, holen)
// Step D
k = mac(alg, k, append(append(v, 0x00), bx...))
// Step E
v = mac(alg, k, v)
// Step F
k = mac(alg, k, append(append(v, 0x01), bx...))
// Step G
v = mac(alg, k, v)
// Step H
for {
// Step H1
var t []byte
// Step H2
for len(t)*8 < qlen {
v = mac(alg, k, v)
t = append(t, v...)
}
// Step H3
secret := hashToInt(t, curve)
if secret.Cmp(one) >= 0 && secret.Cmp(q) < 0 {
return secret
}
k = mac(alg, k, append(v, 0x00))
v = mac(alg, k, v)
}
}
// mac returns an HMAC of the given key and message.
func mac(alg func() hash.Hash, k, m []byte) []byte {
h := hmac.New(alg, k)
h.Write(m)
return h.Sum(nil)
}
// https://tools.ietf.org/html/rfc6979#section-2.3.3
func int2octets(v *big.Int, rolen int) []byte {
out := v.Bytes()
// left pad with zeros if it's too short
if len(out) < rolen {
out2 := make([]byte, rolen)
copy(out2[rolen-len(out):], out)
return out2
}
// drop most significant bytes if it's too long
if len(out) > rolen {
out2 := make([]byte, rolen)
copy(out2, out[len(out)-rolen:])
return out2
}
return out
}
// https://tools.ietf.org/html/rfc6979#section-2.3.4
func bits2octets(in []byte, curve elliptic.Curve, rolen int) []byte {
z1 := hashToInt(in, curve)
z2 := new(big.Int).Sub(z1, curve.Params().N)
if z2.Sign() < 0 {
return int2octets(z1, rolen)
}
return int2octets(z2, rolen)
}
================================================
FILE: evmcc/vendor/github.com/containerd/continuity/AUTHORS
================================================
Aaron Lehmann
Akash Gupta
Akihiro Suda
Andrew Pennebaker
Brandon Philips
Christopher Jones
Daniel, Dao Quang Minh
Derek McGowan
Edward Pilatowicz
Ian Campbell
Justin Cormack
Justin Cummins
Phil Estes
Stephen J Day
Tobias Klauser
Tonis Tiigi
================================================
FILE: evmcc/vendor/github.com/containerd/continuity/LICENSE
================================================
Apache License
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================================================
FILE: evmcc/vendor/github.com/containerd/continuity/pathdriver/path_driver.go
================================================
package pathdriver
import (
"path/filepath"
)
// PathDriver provides all of the path manipulation functions in a common
// interface. The context should call these and never use the `filepath`
// package or any other package to manipulate paths.
type PathDriver interface {
Join(paths ...string) string
IsAbs(path string) bool
Rel(base, target string) (string, error)
Base(path string) string
Dir(path string) string
Clean(path string) string
Split(path string) (dir, file string)
Separator() byte
Abs(path string) (string, error)
Walk(string, filepath.WalkFunc) error
FromSlash(path string) string
ToSlash(path string) string
Match(pattern, name string) (matched bool, err error)
}
// pathDriver is a simple default implementation calls the filepath package.
type pathDriver struct{}
// LocalPathDriver is the exported pathDriver struct for convenience.
var LocalPathDriver PathDriver = &pathDriver{}
func (*pathDriver) Join(paths ...string) string {
return filepath.Join(paths...)
}
func (*pathDriver) IsAbs(path string) bool {
return filepath.IsAbs(path)
}
func (*pathDriver) Rel(base, target string) (string, error) {
return filepath.Rel(base, target)
}
func (*pathDriver) Base(path string) string {
return filepath.Base(path)
}
func (*pathDriver) Dir(path string) string {
return filepath.Dir(path)
}
func (*pathDriver) Clean(path string) string {
return filepath.Clean(path)
}
func (*pathDriver) Split(path string) (dir, file string) {
return filepath.Split(path)
}
func (*pathDriver) Separator() byte {
return filepath.Separator
}
func (*pathDriver) Abs(path string) (string, error) {
return filepath.Abs(path)
}
// Note that filepath.Walk calls os.Stat, so if the context wants to
// to call Driver.Stat() for Walk, they need to create a new struct that
// overrides this method.
func (*pathDriver) Walk(root string, walkFn filepath.WalkFunc) error {
return filepath.Walk(root, walkFn)
}
func (*pathDriver) FromSlash(path string) string {
return filepath.FromSlash(path)
}
func (*pathDriver) ToSlash(path string) string {
return filepath.ToSlash(path)
}
func (*pathDriver) Match(pattern, name string) (bool, error) {
return filepath.Match(pattern, name)
}
================================================
FILE: evmcc/vendor/github.com/davecgh/go-spew/LICENSE
================================================
ISC License
Copyright (c) 2012-2016 Dave Collins
Permission to use, copy, modify, and/or distribute this software for any
purpose with or without fee is hereby granted, provided that the above
copyright notice and this permission notice appear in all copies.
THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES
WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR
ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF
OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
================================================
FILE: evmcc/vendor/github.com/davecgh/go-spew/spew/bypass.go
================================================
// Copyright (c) 2015-2016 Dave Collins
//
// Permission to use, copy, modify, and distribute this software for any
// purpose with or without fee is hereby granted, provided that the above
// copyright notice and this permission notice appear in all copies.
//
// THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES
// WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
// MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR
// ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
// WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
// ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF
// OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
// NOTE: Due to the following build constraints, this file will only be compiled
// when the code is not running on Google App Engine, compiled by GopherJS, and
// "-tags safe" is not added to the go build command line. The "disableunsafe"
// tag is deprecated and thus should not be used.
// Go versions prior to 1.4 are disabled because they use a different layout
// for interfaces which make the implementation of unsafeReflectValue more complex.
// +build !js,!appengine,!safe,!disableunsafe,go1.4
package spew
import (
"reflect"
"unsafe"
)
const (
// UnsafeDisabled is a build-time constant which specifies whether or
// not access to the unsafe package is available.
UnsafeDisabled = false
// ptrSize is the size of a pointer on the current arch.
ptrSize = unsafe.Sizeof((*byte)(nil))
)
type flag uintptr
var (
// flagRO indicates whether the value field of a reflect.Value
// is read-only.
flagRO flag
// flagAddr indicates whether the address of the reflect.Value's
// value may be taken.
flagAddr flag
)
// flagKindMask holds the bits that make up the kind
// part of the flags field. In all the supported versions,
// it is in the lower 5 bits.
const flagKindMask = flag(0x1f)
// Different versions of Go have used different
// bit layouts for the flags type. This table
// records the known combinations.
var okFlags = []struct {
ro, addr flag
}{{
// From Go 1.4 to 1.5
ro: 1 << 5,
addr: 1 << 7,
}, {
// Up to Go tip.
ro: 1<<5 | 1<<6,
addr: 1 << 8,
}}
var flagValOffset = func() uintptr {
field, ok := reflect.TypeOf(reflect.Value{}).FieldByName("flag")
if !ok {
panic("reflect.Value has no flag field")
}
return field.Offset
}()
// flagField returns a pointer to the flag field of a reflect.Value.
func flagField(v *reflect.Value) *flag {
return (*flag)(unsafe.Pointer(uintptr(unsafe.Pointer(v)) + flagValOffset))
}
// unsafeReflectValue converts the passed reflect.Value into a one that bypasses
// the typical safety restrictions preventing access to unaddressable and
// unexported data. It works by digging the raw pointer to the underlying
// value out of the protected value and generating a new unprotected (unsafe)
// reflect.Value to it.
//
// This allows us to check for implementations of the Stringer and error
// interfaces to be used for pretty printing ordinarily unaddressable and
// inaccessible values such as unexported struct fields.
func unsafeReflectValue(v reflect.Value) reflect.Value {
if !v.IsValid() || (v.CanInterface() && v.CanAddr()) {
return v
}
flagFieldPtr := flagField(&v)
*flagFieldPtr &^= flagRO
*flagFieldPtr |= flagAddr
return v
}
// Sanity checks against future reflect package changes
// to the type or semantics of the Value.flag field.
func init() {
field, ok := reflect.TypeOf(reflect.Value{}).FieldByName("flag")
if !ok {
panic("reflect.Value has no flag field")
}
if field.Type.Kind() != reflect.TypeOf(flag(0)).Kind() {
panic("reflect.Value flag field has changed kind")
}
type t0 int
var t struct {
A t0
// t0 will have flagEmbedRO set.
t0
// a will have flagStickyRO set
a t0
}
vA := reflect.ValueOf(t).FieldByName("A")
va := reflect.ValueOf(t).FieldByName("a")
vt0 := reflect.ValueOf(t).FieldByName("t0")
// Infer flagRO from the difference between the flags
// for the (otherwise identical) fields in t.
flagPublic := *flagField(&vA)
flagWithRO := *flagField(&va) | *flagField(&vt0)
flagRO = flagPublic ^ flagWithRO
// Infer flagAddr from the difference between a value
// taken from a pointer and not.
vPtrA := reflect.ValueOf(&t).Elem().FieldByName("A")
flagNoPtr := *flagField(&vA)
flagPtr := *flagField(&vPtrA)
flagAddr = flagNoPtr ^ flagPtr
// Check that the inferred flags tally with one of the known versions.
for _, f := range okFlags {
if flagRO == f.ro && flagAddr == f.addr {
return
}
}
panic("reflect.Value read-only flag has changed semantics")
}
================================================
FILE: evmcc/vendor/github.com/davecgh/go-spew/spew/bypasssafe.go
================================================
// Copyright (c) 2015-2016 Dave Collins
//
// Permission to use, copy, modify, and distribute this software for any
// purpose with or without fee is hereby granted, provided that the above
// copyright notice and this permission notice appear in all copies.
//
// THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES
// WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
// MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR
// ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
// WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
// ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF
// OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
// NOTE: Due to the following build constraints, this file will only be compiled
// when the code is running on Google App Engine, compiled by GopherJS, or
// "-tags safe" is added to the go build command line. The "disableunsafe"
// tag is deprecated and thus should not be used.
// +build js appengine safe disableunsafe !go1.4
package spew
import "reflect"
const (
// UnsafeDisabled is a build-time constant which specifies whether or
// not access to the unsafe package is available.
UnsafeDisabled = true
)
// unsafeReflectValue typically converts the passed reflect.Value into a one
// that bypasses the typical safety restrictions preventing access to
// unaddressable and unexported data. However, doing this relies on access to
// the unsafe package. This is a stub version which simply returns the passed
// reflect.Value when the unsafe package is not available.
func unsafeReflectValue(v reflect.Value) reflect.Value {
return v
}
================================================
FILE: evmcc/vendor/github.com/davecgh/go-spew/spew/common.go
================================================
/*
* Copyright (c) 2013-2016 Dave Collins
*
* Permission to use, copy, modify, and distribute this software for any
* purpose with or without fee is hereby granted, provided that the above
* copyright notice and this permission notice appear in all copies.
*
* THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES
* WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
* MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR
* ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
* WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
* ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF
* OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
*/
package spew
import (
"bytes"
"fmt"
"io"
"reflect"
"sort"
"strconv"
)
// Some constants in the form of bytes to avoid string overhead. This mirrors
// the technique used in the fmt package.
var (
panicBytes = []byte("(PANIC=")
plusBytes = []byte("+")
iBytes = []byte("i")
trueBytes = []byte("true")
falseBytes = []byte("false")
interfaceBytes = []byte("(interface {})")
commaNewlineBytes = []byte(",\n")
newlineBytes = []byte("\n")
openBraceBytes = []byte("{")
openBraceNewlineBytes = []byte("{\n")
closeBraceBytes = []byte("}")
asteriskBytes = []byte("*")
colonBytes = []byte(":")
colonSpaceBytes = []byte(": ")
openParenBytes = []byte("(")
closeParenBytes = []byte(")")
spaceBytes = []byte(" ")
pointerChainBytes = []byte("->")
nilAngleBytes = []byte("")
maxNewlineBytes = []byte("\n")
maxShortBytes = []byte("")
circularBytes = []byte("")
circularShortBytes = []byte("")
invalidAngleBytes = []byte("")
openBracketBytes = []byte("[")
closeBracketBytes = []byte("]")
percentBytes = []byte("%")
precisionBytes = []byte(".")
openAngleBytes = []byte("<")
closeAngleBytes = []byte(">")
openMapBytes = []byte("map[")
closeMapBytes = []byte("]")
lenEqualsBytes = []byte("len=")
capEqualsBytes = []byte("cap=")
)
// hexDigits is used to map a decimal value to a hex digit.
var hexDigits = "0123456789abcdef"
// catchPanic handles any panics that might occur during the handleMethods
// calls.
func catchPanic(w io.Writer, v reflect.Value) {
if err := recover(); err != nil {
w.Write(panicBytes)
fmt.Fprintf(w, "%v", err)
w.Write(closeParenBytes)
}
}
// handleMethods attempts to call the Error and String methods on the underlying
// type the passed reflect.Value represents and outputes the result to Writer w.
//
// It handles panics in any called methods by catching and displaying the error
// as the formatted value.
func handleMethods(cs *ConfigState, w io.Writer, v reflect.Value) (handled bool) {
// We need an interface to check if the type implements the error or
// Stringer interface. However, the reflect package won't give us an
// interface on certain things like unexported struct fields in order
// to enforce visibility rules. We use unsafe, when it's available,
// to bypass these restrictions since this package does not mutate the
// values.
if !v.CanInterface() {
if UnsafeDisabled {
return false
}
v = unsafeReflectValue(v)
}
// Choose whether or not to do error and Stringer interface lookups against
// the base type or a pointer to the base type depending on settings.
// Technically calling one of these methods with a pointer receiver can
// mutate the value, however, types which choose to satisify an error or
// Stringer interface with a pointer receiver should not be mutating their
// state inside these interface methods.
if !cs.DisablePointerMethods && !UnsafeDisabled && !v.CanAddr() {
v = unsafeReflectValue(v)
}
if v.CanAddr() {
v = v.Addr()
}
// Is it an error or Stringer?
switch iface := v.Interface().(type) {
case error:
defer catchPanic(w, v)
if cs.ContinueOnMethod {
w.Write(openParenBytes)
w.Write([]byte(iface.Error()))
w.Write(closeParenBytes)
w.Write(spaceBytes)
return false
}
w.Write([]byte(iface.Error()))
return true
case fmt.Stringer:
defer catchPanic(w, v)
if cs.ContinueOnMethod {
w.Write(openParenBytes)
w.Write([]byte(iface.String()))
w.Write(closeParenBytes)
w.Write(spaceBytes)
return false
}
w.Write([]byte(iface.String()))
return true
}
return false
}
// printBool outputs a boolean value as true or false to Writer w.
func printBool(w io.Writer, val bool) {
if val {
w.Write(trueBytes)
} else {
w.Write(falseBytes)
}
}
// printInt outputs a signed integer value to Writer w.
func printInt(w io.Writer, val int64, base int) {
w.Write([]byte(strconv.FormatInt(val, base)))
}
// printUint outputs an unsigned integer value to Writer w.
func printUint(w io.Writer, val uint64, base int) {
w.Write([]byte(strconv.FormatUint(val, base)))
}
// printFloat outputs a floating point value using the specified precision,
// which is expected to be 32 or 64bit, to Writer w.
func printFloat(w io.Writer, val float64, precision int) {
w.Write([]byte(strconv.FormatFloat(val, 'g', -1, precision)))
}
// printComplex outputs a complex value using the specified float precision
// for the real and imaginary parts to Writer w.
func printComplex(w io.Writer, c complex128, floatPrecision int) {
r := real(c)
w.Write(openParenBytes)
w.Write([]byte(strconv.FormatFloat(r, 'g', -1, floatPrecision)))
i := imag(c)
if i >= 0 {
w.Write(plusBytes)
}
w.Write([]byte(strconv.FormatFloat(i, 'g', -1, floatPrecision)))
w.Write(iBytes)
w.Write(closeParenBytes)
}
// printHexPtr outputs a uintptr formatted as hexadecimal with a leading '0x'
// prefix to Writer w.
func printHexPtr(w io.Writer, p uintptr) {
// Null pointer.
num := uint64(p)
if num == 0 {
w.Write(nilAngleBytes)
return
}
// Max uint64 is 16 bytes in hex + 2 bytes for '0x' prefix
buf := make([]byte, 18)
// It's simpler to construct the hex string right to left.
base := uint64(16)
i := len(buf) - 1
for num >= base {
buf[i] = hexDigits[num%base]
num /= base
i--
}
buf[i] = hexDigits[num]
// Add '0x' prefix.
i--
buf[i] = 'x'
i--
buf[i] = '0'
// Strip unused leading bytes.
buf = buf[i:]
w.Write(buf)
}
// valuesSorter implements sort.Interface to allow a slice of reflect.Value
// elements to be sorted.
type valuesSorter struct {
values []reflect.Value
strings []string // either nil or same len and values
cs *ConfigState
}
// newValuesSorter initializes a valuesSorter instance, which holds a set of
// surrogate keys on which the data should be sorted. It uses flags in
// ConfigState to decide if and how to populate those surrogate keys.
func newValuesSorter(values []reflect.Value, cs *ConfigState) sort.Interface {
vs := &valuesSorter{values: values, cs: cs}
if canSortSimply(vs.values[0].Kind()) {
return vs
}
if !cs.DisableMethods {
vs.strings = make([]string, len(values))
for i := range vs.values {
b := bytes.Buffer{}
if !handleMethods(cs, &b, vs.values[i]) {
vs.strings = nil
break
}
vs.strings[i] = b.String()
}
}
if vs.strings == nil && cs.SpewKeys {
vs.strings = make([]string, len(values))
for i := range vs.values {
vs.strings[i] = Sprintf("%#v", vs.values[i].Interface())
}
}
return vs
}
// canSortSimply tests whether a reflect.Kind is a primitive that can be sorted
// directly, or whether it should be considered for sorting by surrogate keys
// (if the ConfigState allows it).
func canSortSimply(kind reflect.Kind) bool {
// This switch parallels valueSortLess, except for the default case.
switch kind {
case reflect.Bool:
return true
case reflect.Int8, reflect.Int16, reflect.Int32, reflect.Int64, reflect.Int:
return true
case reflect.Uint8, reflect.Uint16, reflect.Uint32, reflect.Uint64, reflect.Uint:
return true
case reflect.Float32, reflect.Float64:
return true
case reflect.String:
return true
case reflect.Uintptr:
return true
case reflect.Array:
return true
}
return false
}
// Len returns the number of values in the slice. It is part of the
// sort.Interface implementation.
func (s *valuesSorter) Len() int {
return len(s.values)
}
// Swap swaps the values at the passed indices. It is part of the
// sort.Interface implementation.
func (s *valuesSorter) Swap(i, j int) {
s.values[i], s.values[j] = s.values[j], s.values[i]
if s.strings != nil {
s.strings[i], s.strings[j] = s.strings[j], s.strings[i]
}
}
// valueSortLess returns whether the first value should sort before the second
// value. It is used by valueSorter.Less as part of the sort.Interface
// implementation.
func valueSortLess(a, b reflect.Value) bool {
switch a.Kind() {
case reflect.Bool:
return !a.Bool() && b.Bool()
case reflect.Int8, reflect.Int16, reflect.Int32, reflect.Int64, reflect.Int:
return a.Int() < b.Int()
case reflect.Uint8, reflect.Uint16, reflect.Uint32, reflect.Uint64, reflect.Uint:
return a.Uint() < b.Uint()
case reflect.Float32, reflect.Float64:
return a.Float() < b.Float()
case reflect.String:
return a.String() < b.String()
case reflect.Uintptr:
return a.Uint() < b.Uint()
case reflect.Array:
// Compare the contents of both arrays.
l := a.Len()
for i := 0; i < l; i++ {
av := a.Index(i)
bv := b.Index(i)
if av.Interface() == bv.Interface() {
continue
}
return valueSortLess(av, bv)
}
}
return a.String() < b.String()
}
// Less returns whether the value at index i should sort before the
// value at index j. It is part of the sort.Interface implementation.
func (s *valuesSorter) Less(i, j int) bool {
if s.strings == nil {
return valueSortLess(s.values[i], s.values[j])
}
return s.strings[i] < s.strings[j]
}
// sortValues is a sort function that handles both native types and any type that
// can be converted to error or Stringer. Other inputs are sorted according to
// their Value.String() value to ensure display stability.
func sortValues(values []reflect.Value, cs *ConfigState) {
if len(values) == 0 {
return
}
sort.Sort(newValuesSorter(values, cs))
}
================================================
FILE: evmcc/vendor/github.com/davecgh/go-spew/spew/config.go
================================================
/*
* Copyright (c) 2013-2016 Dave Collins
*
* Permission to use, copy, modify, and distribute this software for any
* purpose with or without fee is hereby granted, provided that the above
* copyright notice and this permission notice appear in all copies.
*
* THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES
* WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
* MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR
* ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
* WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
* ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF
* OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
*/
package spew
import (
"bytes"
"fmt"
"io"
"os"
)
// ConfigState houses the configuration options used by spew to format and
// display values. There is a global instance, Config, that is used to control
// all top-level Formatter and Dump functionality. Each ConfigState instance
// provides methods equivalent to the top-level functions.
//
// The zero value for ConfigState provides no indentation. You would typically
// want to set it to a space or a tab.
//
// Alternatively, you can use NewDefaultConfig to get a ConfigState instance
// with default settings. See the documentation of NewDefaultConfig for default
// values.
type ConfigState struct {
// Indent specifies the string to use for each indentation level. The
// global config instance that all top-level functions use set this to a
// single space by default. If you would like more indentation, you might
// set this to a tab with "\t" or perhaps two spaces with " ".
Indent string
// MaxDepth controls the maximum number of levels to descend into nested
// data structures. The default, 0, means there is no limit.
//
// NOTE: Circular data structures are properly detected, so it is not
// necessary to set this value unless you specifically want to limit deeply
// nested data structures.
MaxDepth int
// DisableMethods specifies whether or not error and Stringer interfaces are
// invoked for types that implement them.
DisableMethods bool
// DisablePointerMethods specifies whether or not to check for and invoke
// error and Stringer interfaces on types which only accept a pointer
// receiver when the current type is not a pointer.
//
// NOTE: This might be an unsafe action since calling one of these methods
// with a pointer receiver could technically mutate the value, however,
// in practice, types which choose to satisify an error or Stringer
// interface with a pointer receiver should not be mutating their state
// inside these interface methods. As a result, this option relies on
// access to the unsafe package, so it will not have any effect when
// running in environments without access to the unsafe package such as
// Google App Engine or with the "safe" build tag specified.
DisablePointerMethods bool
// DisablePointerAddresses specifies whether to disable the printing of
// pointer addresses. This is useful when diffing data structures in tests.
DisablePointerAddresses bool
// DisableCapacities specifies whether to disable the printing of capacities
// for arrays, slices, maps and channels. This is useful when diffing
// data structures in tests.
DisableCapacities bool
// ContinueOnMethod specifies whether or not recursion should continue once
// a custom error or Stringer interface is invoked. The default, false,
// means it will print the results of invoking the custom error or Stringer
// interface and return immediately instead of continuing to recurse into
// the internals of the data type.
//
// NOTE: This flag does not have any effect if method invocation is disabled
// via the DisableMethods or DisablePointerMethods options.
ContinueOnMethod bool
// SortKeys specifies map keys should be sorted before being printed. Use
// this to have a more deterministic, diffable output. Note that only
// native types (bool, int, uint, floats, uintptr and string) and types
// that support the error or Stringer interfaces (if methods are
// enabled) are supported, with other types sorted according to the
// reflect.Value.String() output which guarantees display stability.
SortKeys bool
// SpewKeys specifies that, as a last resort attempt, map keys should
// be spewed to strings and sorted by those strings. This is only
// considered if SortKeys is true.
SpewKeys bool
}
// Config is the active configuration of the top-level functions.
// The configuration can be changed by modifying the contents of spew.Config.
var Config = ConfigState{Indent: " "}
// Errorf is a wrapper for fmt.Errorf that treats each argument as if it were
// passed with a Formatter interface returned by c.NewFormatter. It returns
// the formatted string as a value that satisfies error. See NewFormatter
// for formatting details.
//
// This function is shorthand for the following syntax:
//
// fmt.Errorf(format, c.NewFormatter(a), c.NewFormatter(b))
func (c *ConfigState) Errorf(format string, a ...interface{}) (err error) {
return fmt.Errorf(format, c.convertArgs(a)...)
}
// Fprint is a wrapper for fmt.Fprint that treats each argument as if it were
// passed with a Formatter interface returned by c.NewFormatter. It returns
// the number of bytes written and any write error encountered. See
// NewFormatter for formatting details.
//
// This function is shorthand for the following syntax:
//
// fmt.Fprint(w, c.NewFormatter(a), c.NewFormatter(b))
func (c *ConfigState) Fprint(w io.Writer, a ...interface{}) (n int, err error) {
return fmt.Fprint(w, c.convertArgs(a)...)
}
// Fprintf is a wrapper for fmt.Fprintf that treats each argument as if it were
// passed with a Formatter interface returned by c.NewFormatter. It returns
// the number of bytes written and any write error encountered. See
// NewFormatter for formatting details.
//
// This function is shorthand for the following syntax:
//
// fmt.Fprintf(w, format, c.NewFormatter(a), c.NewFormatter(b))
func (c *ConfigState) Fprintf(w io.Writer, format string, a ...interface{}) (n int, err error) {
return fmt.Fprintf(w, format, c.convertArgs(a)...)
}
// Fprintln is a wrapper for fmt.Fprintln that treats each argument as if it
// passed with a Formatter interface returned by c.NewFormatter. See
// NewFormatter for formatting details.
//
// This function is shorthand for the following syntax:
//
// fmt.Fprintln(w, c.NewFormatter(a), c.NewFormatter(b))
func (c *ConfigState) Fprintln(w io.Writer, a ...interface{}) (n int, err error) {
return fmt.Fprintln(w, c.convertArgs(a)...)
}
// Print is a wrapper for fmt.Print that treats each argument as if it were
// passed with a Formatter interface returned by c.NewFormatter. It returns
// the number of bytes written and any write error encountered. See
// NewFormatter for formatting details.
//
// This function is shorthand for the following syntax:
//
// fmt.Print(c.NewFormatter(a), c.NewFormatter(b))
func (c *ConfigState) Print(a ...interface{}) (n int, err error) {
return fmt.Print(c.convertArgs(a)...)
}
// Printf is a wrapper for fmt.Printf that treats each argument as if it were
// passed with a Formatter interface returned by c.NewFormatter. It returns
// the number of bytes written and any write error encountered. See
// NewFormatter for formatting details.
//
// This function is shorthand for the following syntax:
//
// fmt.Printf(format, c.NewFormatter(a), c.NewFormatter(b))
func (c *ConfigState) Printf(format string, a ...interface{}) (n int, err error) {
return fmt.Printf(format, c.convertArgs(a)...)
}
// Println is a wrapper for fmt.Println that treats each argument as if it were
// passed with a Formatter interface returned by c.NewFormatter. It returns
// the number of bytes written and any write error encountered. See
// NewFormatter for formatting details.
//
// This function is shorthand for the following syntax:
//
// fmt.Println(c.NewFormatter(a), c.NewFormatter(b))
func (c *ConfigState) Println(a ...interface{}) (n int, err error) {
return fmt.Println(c.convertArgs(a)...)
}
// Sprint is a wrapper for fmt.Sprint that treats each argument as if it were
// passed with a Formatter interface returned by c.NewFormatter. It returns
// the resulting string. See NewFormatter for formatting details.
//
// This function is shorthand for the following syntax:
//
// fmt.Sprint(c.NewFormatter(a), c.NewFormatter(b))
func (c *ConfigState) Sprint(a ...interface{}) string {
return fmt.Sprint(c.convertArgs(a)...)
}
// Sprintf is a wrapper for fmt.Sprintf that treats each argument as if it were
// passed with a Formatter interface returned by c.NewFormatter. It returns
// the resulting string. See NewFormatter for formatting details.
//
// This function is shorthand for the following syntax:
//
// fmt.Sprintf(format, c.NewFormatter(a), c.NewFormatter(b))
func (c *ConfigState) Sprintf(format string, a ...interface{}) string {
return fmt.Sprintf(format, c.convertArgs(a)...)
}
// Sprintln is a wrapper for fmt.Sprintln that treats each argument as if it
// were passed with a Formatter interface returned by c.NewFormatter. It
// returns the resulting string. See NewFormatter for formatting details.
//
// This function is shorthand for the following syntax:
//
// fmt.Sprintln(c.NewFormatter(a), c.NewFormatter(b))
func (c *ConfigState) Sprintln(a ...interface{}) string {
return fmt.Sprintln(c.convertArgs(a)...)
}
/*
NewFormatter returns a custom formatter that satisfies the fmt.Formatter
interface. As a result, it integrates cleanly with standard fmt package
printing functions. The formatter is useful for inline printing of smaller data
types similar to the standard %v format specifier.
The custom formatter only responds to the %v (most compact), %+v (adds pointer
addresses), %#v (adds types), and %#+v (adds types and pointer addresses) verb
combinations. Any other verbs such as %x and %q will be sent to the the
standard fmt package for formatting. In addition, the custom formatter ignores
the width and precision arguments (however they will still work on the format
specifiers not handled by the custom formatter).
Typically this function shouldn't be called directly. It is much easier to make
use of the custom formatter by calling one of the convenience functions such as
c.Printf, c.Println, or c.Printf.
*/
func (c *ConfigState) NewFormatter(v interface{}) fmt.Formatter {
return newFormatter(c, v)
}
// Fdump formats and displays the passed arguments to io.Writer w. It formats
// exactly the same as Dump.
func (c *ConfigState) Fdump(w io.Writer, a ...interface{}) {
fdump(c, w, a...)
}
/*
Dump displays the passed parameters to standard out with newlines, customizable
indentation, and additional debug information such as complete types and all
pointer addresses used to indirect to the final value. It provides the
following features over the built-in printing facilities provided by the fmt
package:
* Pointers are dereferenced and followed
* Circular data structures are detected and handled properly
* Custom Stringer/error interfaces are optionally invoked, including
on unexported types
* Custom types which only implement the Stringer/error interfaces via
a pointer receiver are optionally invoked when passing non-pointer
variables
* Byte arrays and slices are dumped like the hexdump -C command which
includes offsets, byte values in hex, and ASCII output
The configuration options are controlled by modifying the public members
of c. See ConfigState for options documentation.
See Fdump if you would prefer dumping to an arbitrary io.Writer or Sdump to
get the formatted result as a string.
*/
func (c *ConfigState) Dump(a ...interface{}) {
fdump(c, os.Stdout, a...)
}
// Sdump returns a string with the passed arguments formatted exactly the same
// as Dump.
func (c *ConfigState) Sdump(a ...interface{}) string {
var buf bytes.Buffer
fdump(c, &buf, a...)
return buf.String()
}
// convertArgs accepts a slice of arguments and returns a slice of the same
// length with each argument converted to a spew Formatter interface using
// the ConfigState associated with s.
func (c *ConfigState) convertArgs(args []interface{}) (formatters []interface{}) {
formatters = make([]interface{}, len(args))
for index, arg := range args {
formatters[index] = newFormatter(c, arg)
}
return formatters
}
// NewDefaultConfig returns a ConfigState with the following default settings.
//
// Indent: " "
// MaxDepth: 0
// DisableMethods: false
// DisablePointerMethods: false
// ContinueOnMethod: false
// SortKeys: false
func NewDefaultConfig() *ConfigState {
return &ConfigState{Indent: " "}
}
================================================
FILE: evmcc/vendor/github.com/davecgh/go-spew/spew/doc.go
================================================
/*
* Copyright (c) 2013-2016 Dave Collins
*
* Permission to use, copy, modify, and distribute this software for any
* purpose with or without fee is hereby granted, provided that the above
* copyright notice and this permission notice appear in all copies.
*
* THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES
* WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
* MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR
* ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
* WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
* ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF
* OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
*/
/*
Package spew implements a deep pretty printer for Go data structures to aid in
debugging.
A quick overview of the additional features spew provides over the built-in
printing facilities for Go data types are as follows:
* Pointers are dereferenced and followed
* Circular data structures are detected and handled properly
* Custom Stringer/error interfaces are optionally invoked, including
on unexported types
* Custom types which only implement the Stringer/error interfaces via
a pointer receiver are optionally invoked when passing non-pointer
variables
* Byte arrays and slices are dumped like the hexdump -C command which
includes offsets, byte values in hex, and ASCII output (only when using
Dump style)
There are two different approaches spew allows for dumping Go data structures:
* Dump style which prints with newlines, customizable indentation,
and additional debug information such as types and all pointer addresses
used to indirect to the final value
* A custom Formatter interface that integrates cleanly with the standard fmt
package and replaces %v, %+v, %#v, and %#+v to provide inline printing
similar to the default %v while providing the additional functionality
outlined above and passing unsupported format verbs such as %x and %q
along to fmt
Quick Start
This section demonstrates how to quickly get started with spew. See the
sections below for further details on formatting and configuration options.
To dump a variable with full newlines, indentation, type, and pointer
information use Dump, Fdump, or Sdump:
spew.Dump(myVar1, myVar2, ...)
spew.Fdump(someWriter, myVar1, myVar2, ...)
str := spew.Sdump(myVar1, myVar2, ...)
Alternatively, if you would prefer to use format strings with a compacted inline
printing style, use the convenience wrappers Printf, Fprintf, etc with
%v (most compact), %+v (adds pointer addresses), %#v (adds types), or
%#+v (adds types and pointer addresses):
spew.Printf("myVar1: %v -- myVar2: %+v", myVar1, myVar2)
spew.Printf("myVar3: %#v -- myVar4: %#+v", myVar3, myVar4)
spew.Fprintf(someWriter, "myVar1: %v -- myVar2: %+v", myVar1, myVar2)
spew.Fprintf(someWriter, "myVar3: %#v -- myVar4: %#+v", myVar3, myVar4)
Configuration Options
Configuration of spew is handled by fields in the ConfigState type. For
convenience, all of the top-level functions use a global state available
via the spew.Config global.
It is also possible to create a ConfigState instance that provides methods
equivalent to the top-level functions. This allows concurrent configuration
options. See the ConfigState documentation for more details.
The following configuration options are available:
* Indent
String to use for each indentation level for Dump functions.
It is a single space by default. A popular alternative is "\t".
* MaxDepth
Maximum number of levels to descend into nested data structures.
There is no limit by default.
* DisableMethods
Disables invocation of error and Stringer interface methods.
Method invocation is enabled by default.
* DisablePointerMethods
Disables invocation of error and Stringer interface methods on types
which only accept pointer receivers from non-pointer variables.
Pointer method invocation is enabled by default.
* DisablePointerAddresses
DisablePointerAddresses specifies whether to disable the printing of
pointer addresses. This is useful when diffing data structures in tests.
* DisableCapacities
DisableCapacities specifies whether to disable the printing of
capacities for arrays, slices, maps and channels. This is useful when
diffing data structures in tests.
* ContinueOnMethod
Enables recursion into types after invoking error and Stringer interface
methods. Recursion after method invocation is disabled by default.
* SortKeys
Specifies map keys should be sorted before being printed. Use
this to have a more deterministic, diffable output. Note that
only native types (bool, int, uint, floats, uintptr and string)
and types which implement error or Stringer interfaces are
supported with other types sorted according to the
reflect.Value.String() output which guarantees display
stability. Natural map order is used by default.
* SpewKeys
Specifies that, as a last resort attempt, map keys should be
spewed to strings and sorted by those strings. This is only
considered if SortKeys is true.
Dump Usage
Simply call spew.Dump with a list of variables you want to dump:
spew.Dump(myVar1, myVar2, ...)
You may also call spew.Fdump if you would prefer to output to an arbitrary
io.Writer. For example, to dump to standard error:
spew.Fdump(os.Stderr, myVar1, myVar2, ...)
A third option is to call spew.Sdump to get the formatted output as a string:
str := spew.Sdump(myVar1, myVar2, ...)
Sample Dump Output
See the Dump example for details on the setup of the types and variables being
shown here.
(main.Foo) {
unexportedField: (*main.Bar)(0xf84002e210)({
flag: (main.Flag) flagTwo,
data: (uintptr)
}),
ExportedField: (map[interface {}]interface {}) (len=1) {
(string) (len=3) "one": (bool) true
}
}
Byte (and uint8) arrays and slices are displayed uniquely like the hexdump -C
command as shown.
([]uint8) (len=32 cap=32) {
00000000 11 12 13 14 15 16 17 18 19 1a 1b 1c 1d 1e 1f 20 |............... |
00000010 21 22 23 24 25 26 27 28 29 2a 2b 2c 2d 2e 2f 30 |!"#$%&'()*+,-./0|
00000020 31 32 |12|
}
Custom Formatter
Spew provides a custom formatter that implements the fmt.Formatter interface
so that it integrates cleanly with standard fmt package printing functions. The
formatter is useful for inline printing of smaller data types similar to the
standard %v format specifier.
The custom formatter only responds to the %v (most compact), %+v (adds pointer
addresses), %#v (adds types), or %#+v (adds types and pointer addresses) verb
combinations. Any other verbs such as %x and %q will be sent to the the
standard fmt package for formatting. In addition, the custom formatter ignores
the width and precision arguments (however they will still work on the format
specifiers not handled by the custom formatter).
Custom Formatter Usage
The simplest way to make use of the spew custom formatter is to call one of the
convenience functions such as spew.Printf, spew.Println, or spew.Printf. The
functions have syntax you are most likely already familiar with:
spew.Printf("myVar1: %v -- myVar2: %+v", myVar1, myVar2)
spew.Printf("myVar3: %#v -- myVar4: %#+v", myVar3, myVar4)
spew.Println(myVar, myVar2)
spew.Fprintf(os.Stderr, "myVar1: %v -- myVar2: %+v", myVar1, myVar2)
spew.Fprintf(os.Stderr, "myVar3: %#v -- myVar4: %#+v", myVar3, myVar4)
See the Index for the full list convenience functions.
Sample Formatter Output
Double pointer to a uint8:
%v: <**>5
%+v: <**>(0xf8400420d0->0xf8400420c8)5
%#v: (**uint8)5
%#+v: (**uint8)(0xf8400420d0->0xf8400420c8)5
Pointer to circular struct with a uint8 field and a pointer to itself:
%v: <*>{1 <*>}
%+v: <*>(0xf84003e260){ui8:1 c:<*>(0xf84003e260)}
%#v: (*main.circular){ui8:(uint8)1 c:(*main.circular)}
%#+v: (*main.circular)(0xf84003e260){ui8:(uint8)1 c:(*main.circular)(0xf84003e260)}
See the Printf example for details on the setup of variables being shown
here.
Errors
Since it is possible for custom Stringer/error interfaces to panic, spew
detects them and handles them internally by printing the panic information
inline with the output. Since spew is intended to provide deep pretty printing
capabilities on structures, it intentionally does not return any errors.
*/
package spew
================================================
FILE: evmcc/vendor/github.com/davecgh/go-spew/spew/dump.go
================================================
/*
* Copyright (c) 2013-2016 Dave Collins
*
* Permission to use, copy, modify, and distribute this software for any
* purpose with or without fee is hereby granted, provided that the above
* copyright notice and this permission notice appear in all copies.
*
* THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES
* WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
* MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR
* ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
* WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
* ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF
* OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
*/
package spew
import (
"bytes"
"encoding/hex"
"fmt"
"io"
"os"
"reflect"
"regexp"
"strconv"
"strings"
)
var (
// uint8Type is a reflect.Type representing a uint8. It is used to
// convert cgo types to uint8 slices for hexdumping.
uint8Type = reflect.TypeOf(uint8(0))
// cCharRE is a regular expression that matches a cgo char.
// It is used to detect character arrays to hexdump them.
cCharRE = regexp.MustCompile(`^.*\._Ctype_char$`)
// cUnsignedCharRE is a regular expression that matches a cgo unsigned
// char. It is used to detect unsigned character arrays to hexdump
// them.
cUnsignedCharRE = regexp.MustCompile(`^.*\._Ctype_unsignedchar$`)
// cUint8tCharRE is a regular expression that matches a cgo uint8_t.
// It is used to detect uint8_t arrays to hexdump them.
cUint8tCharRE = regexp.MustCompile(`^.*\._Ctype_uint8_t$`)
)
// dumpState contains information about the state of a dump operation.
type dumpState struct {
w io.Writer
depth int
pointers map[uintptr]int
ignoreNextType bool
ignoreNextIndent bool
cs *ConfigState
}
// indent performs indentation according to the depth level and cs.Indent
// option.
func (d *dumpState) indent() {
if d.ignoreNextIndent {
d.ignoreNextIndent = false
return
}
d.w.Write(bytes.Repeat([]byte(d.cs.Indent), d.depth))
}
// unpackValue returns values inside of non-nil interfaces when possible.
// This is useful for data types like structs, arrays, slices, and maps which
// can contain varying types packed inside an interface.
func (d *dumpState) unpackValue(v reflect.Value) reflect.Value {
if v.Kind() == reflect.Interface && !v.IsNil() {
v = v.Elem()
}
return v
}
// dumpPtr handles formatting of pointers by indirecting them as necessary.
func (d *dumpState) dumpPtr(v reflect.Value) {
// Remove pointers at or below the current depth from map used to detect
// circular refs.
for k, depth := range d.pointers {
if depth >= d.depth {
delete(d.pointers, k)
}
}
// Keep list of all dereferenced pointers to show later.
pointerChain := make([]uintptr, 0)
// Figure out how many levels of indirection there are by dereferencing
// pointers and unpacking interfaces down the chain while detecting circular
// references.
nilFound := false
cycleFound := false
indirects := 0
ve := v
for ve.Kind() == reflect.Ptr {
if ve.IsNil() {
nilFound = true
break
}
indirects++
addr := ve.Pointer()
pointerChain = append(pointerChain, addr)
if pd, ok := d.pointers[addr]; ok && pd < d.depth {
cycleFound = true
indirects--
break
}
d.pointers[addr] = d.depth
ve = ve.Elem()
if ve.Kind() == reflect.Interface {
if ve.IsNil() {
nilFound = true
break
}
ve = ve.Elem()
}
}
// Display type information.
d.w.Write(openParenBytes)
d.w.Write(bytes.Repeat(asteriskBytes, indirects))
d.w.Write([]byte(ve.Type().String()))
d.w.Write(closeParenBytes)
// Display pointer information.
if !d.cs.DisablePointerAddresses && len(pointerChain) > 0 {
d.w.Write(openParenBytes)
for i, addr := range pointerChain {
if i > 0 {
d.w.Write(pointerChainBytes)
}
printHexPtr(d.w, addr)
}
d.w.Write(closeParenBytes)
}
// Display dereferenced value.
d.w.Write(openParenBytes)
switch {
case nilFound:
d.w.Write(nilAngleBytes)
case cycleFound:
d.w.Write(circularBytes)
default:
d.ignoreNextType = true
d.dump(ve)
}
d.w.Write(closeParenBytes)
}
// dumpSlice handles formatting of arrays and slices. Byte (uint8 under
// reflection) arrays and slices are dumped in hexdump -C fashion.
func (d *dumpState) dumpSlice(v reflect.Value) {
// Determine whether this type should be hex dumped or not. Also,
// for types which should be hexdumped, try to use the underlying data
// first, then fall back to trying to convert them to a uint8 slice.
var buf []uint8
doConvert := false
doHexDump := false
numEntries := v.Len()
if numEntries > 0 {
vt := v.Index(0).Type()
vts := vt.String()
switch {
// C types that need to be converted.
case cCharRE.MatchString(vts):
fallthrough
case cUnsignedCharRE.MatchString(vts):
fallthrough
case cUint8tCharRE.MatchString(vts):
doConvert = true
// Try to use existing uint8 slices and fall back to converting
// and copying if that fails.
case vt.Kind() == reflect.Uint8:
// We need an addressable interface to convert the type
// to a byte slice. However, the reflect package won't
// give us an interface on certain things like
// unexported struct fields in order to enforce
// visibility rules. We use unsafe, when available, to
// bypass these restrictions since this package does not
// mutate the values.
vs := v
if !vs.CanInterface() || !vs.CanAddr() {
vs = unsafeReflectValue(vs)
}
if !UnsafeDisabled {
vs = vs.Slice(0, numEntries)
// Use the existing uint8 slice if it can be
// type asserted.
iface := vs.Interface()
if slice, ok := iface.([]uint8); ok {
buf = slice
doHexDump = true
break
}
}
// The underlying data needs to be converted if it can't
// be type asserted to a uint8 slice.
doConvert = true
}
// Copy and convert the underlying type if needed.
if doConvert && vt.ConvertibleTo(uint8Type) {
// Convert and copy each element into a uint8 byte
// slice.
buf = make([]uint8, numEntries)
for i := 0; i < numEntries; i++ {
vv := v.Index(i)
buf[i] = uint8(vv.Convert(uint8Type).Uint())
}
doHexDump = true
}
}
// Hexdump the entire slice as needed.
if doHexDump {
indent := strings.Repeat(d.cs.Indent, d.depth)
str := indent + hex.Dump(buf)
str = strings.Replace(str, "\n", "\n"+indent, -1)
str = strings.TrimRight(str, d.cs.Indent)
d.w.Write([]byte(str))
return
}
// Recursively call dump for each item.
for i := 0; i < numEntries; i++ {
d.dump(d.unpackValue(v.Index(i)))
if i < (numEntries - 1) {
d.w.Write(commaNewlineBytes)
} else {
d.w.Write(newlineBytes)
}
}
}
// dump is the main workhorse for dumping a value. It uses the passed reflect
// value to figure out what kind of object we are dealing with and formats it
// appropriately. It is a recursive function, however circular data structures
// are detected and handled properly.
func (d *dumpState) dump(v reflect.Value) {
// Handle invalid reflect values immediately.
kind := v.Kind()
if kind == reflect.Invalid {
d.w.Write(invalidAngleBytes)
return
}
// Handle pointers specially.
if kind == reflect.Ptr {
d.indent()
d.dumpPtr(v)
return
}
// Print type information unless already handled elsewhere.
if !d.ignoreNextType {
d.indent()
d.w.Write(openParenBytes)
d.w.Write([]byte(v.Type().String()))
d.w.Write(closeParenBytes)
d.w.Write(spaceBytes)
}
d.ignoreNextType = false
// Display length and capacity if the built-in len and cap functions
// work with the value's kind and the len/cap itself is non-zero.
valueLen, valueCap := 0, 0
switch v.Kind() {
case reflect.Array, reflect.Slice, reflect.Chan:
valueLen, valueCap = v.Len(), v.Cap()
case reflect.Map, reflect.String:
valueLen = v.Len()
}
if valueLen != 0 || !d.cs.DisableCapacities && valueCap != 0 {
d.w.Write(openParenBytes)
if valueLen != 0 {
d.w.Write(lenEqualsBytes)
printInt(d.w, int64(valueLen), 10)
}
if !d.cs.DisableCapacities && valueCap != 0 {
if valueLen != 0 {
d.w.Write(spaceBytes)
}
d.w.Write(capEqualsBytes)
printInt(d.w, int64(valueCap), 10)
}
d.w.Write(closeParenBytes)
d.w.Write(spaceBytes)
}
// Call Stringer/error interfaces if they exist and the handle methods flag
// is enabled
if !d.cs.DisableMethods {
if (kind != reflect.Invalid) && (kind != reflect.Interface) {
if handled := handleMethods(d.cs, d.w, v); handled {
return
}
}
}
switch kind {
case reflect.Invalid:
// Do nothing. We should never get here since invalid has already
// been handled above.
case reflect.Bool:
printBool(d.w, v.Bool())
case reflect.Int8, reflect.Int16, reflect.Int32, reflect.Int64, reflect.Int:
printInt(d.w, v.Int(), 10)
case reflect.Uint8, reflect.Uint16, reflect.Uint32, reflect.Uint64, reflect.Uint:
printUint(d.w, v.Uint(), 10)
case reflect.Float32:
printFloat(d.w, v.Float(), 32)
case reflect.Float64:
printFloat(d.w, v.Float(), 64)
case reflect.Complex64:
printComplex(d.w, v.Complex(), 32)
case reflect.Complex128:
printComplex(d.w, v.Complex(), 64)
case reflect.Slice:
if v.IsNil() {
d.w.Write(nilAngleBytes)
break
}
fallthrough
case reflect.Array:
d.w.Write(openBraceNewlineBytes)
d.depth++
if (d.cs.MaxDepth != 0) && (d.depth > d.cs.MaxDepth) {
d.indent()
d.w.Write(maxNewlineBytes)
} else {
d.dumpSlice(v)
}
d.depth--
d.indent()
d.w.Write(closeBraceBytes)
case reflect.String:
d.w.Write([]byte(strconv.Quote(v.String())))
case reflect.Interface:
// The only time we should get here is for nil interfaces due to
// unpackValue calls.
if v.IsNil() {
d.w.Write(nilAngleBytes)
}
case reflect.Ptr:
// Do nothing. We should never get here since pointers have already
// been handled above.
case reflect.Map:
// nil maps should be indicated as different than empty maps
if v.IsNil() {
d.w.Write(nilAngleBytes)
break
}
d.w.Write(openBraceNewlineBytes)
d.depth++
if (d.cs.MaxDepth != 0) && (d.depth > d.cs.MaxDepth) {
d.indent()
d.w.Write(maxNewlineBytes)
} else {
numEntries := v.Len()
keys := v.MapKeys()
if d.cs.SortKeys {
sortValues(keys, d.cs)
}
for i, key := range keys {
d.dump(d.unpackValue(key))
d.w.Write(colonSpaceBytes)
d.ignoreNextIndent = true
d.dump(d.unpackValue(v.MapIndex(key)))
if i < (numEntries - 1) {
d.w.Write(commaNewlineBytes)
} else {
d.w.Write(newlineBytes)
}
}
}
d.depth--
d.indent()
d.w.Write(closeBraceBytes)
case reflect.Struct:
d.w.Write(openBraceNewlineBytes)
d.depth++
if (d.cs.MaxDepth != 0) && (d.depth > d.cs.MaxDepth) {
d.indent()
d.w.Write(maxNewlineBytes)
} else {
vt := v.Type()
numFields := v.NumField()
for i := 0; i < numFields; i++ {
d.indent()
vtf := vt.Field(i)
d.w.Write([]byte(vtf.Name))
d.w.Write(colonSpaceBytes)
d.ignoreNextIndent = true
d.dump(d.unpackValue(v.Field(i)))
if i < (numFields - 1) {
d.w.Write(commaNewlineBytes)
} else {
d.w.Write(newlineBytes)
}
}
}
d.depth--
d.indent()
d.w.Write(closeBraceBytes)
case reflect.Uintptr:
printHexPtr(d.w, uintptr(v.Uint()))
case reflect.UnsafePointer, reflect.Chan, reflect.Func:
printHexPtr(d.w, v.Pointer())
// There were not any other types at the time this code was written, but
// fall back to letting the default fmt package handle it in case any new
// types are added.
default:
if v.CanInterface() {
fmt.Fprintf(d.w, "%v", v.Interface())
} else {
fmt.Fprintf(d.w, "%v", v.String())
}
}
}
// fdump is a helper function to consolidate the logic from the various public
// methods which take varying writers and config states.
func fdump(cs *ConfigState, w io.Writer, a ...interface{}) {
for _, arg := range a {
if arg == nil {
w.Write(interfaceBytes)
w.Write(spaceBytes)
w.Write(nilAngleBytes)
w.Write(newlineBytes)
continue
}
d := dumpState{w: w, cs: cs}
d.pointers = make(map[uintptr]int)
d.dump(reflect.ValueOf(arg))
d.w.Write(newlineBytes)
}
}
// Fdump formats and displays the passed arguments to io.Writer w. It formats
// exactly the same as Dump.
func Fdump(w io.Writer, a ...interface{}) {
fdump(&Config, w, a...)
}
// Sdump returns a string with the passed arguments formatted exactly the same
// as Dump.
func Sdump(a ...interface{}) string {
var buf bytes.Buffer
fdump(&Config, &buf, a...)
return buf.String()
}
/*
Dump displays the passed parameters to standard out with newlines, customizable
indentation, and additional debug information such as complete types and all
pointer addresses used to indirect to the final value. It provides the
following features over the built-in printing facilities provided by the fmt
package:
* Pointers are dereferenced and followed
* Circular data structures are detected and handled properly
* Custom Stringer/error interfaces are optionally invoked, including
on unexported types
* Custom types which only implement the Stringer/error interfaces via
a pointer receiver are optionally invoked when passing non-pointer
variables
* Byte arrays and slices are dumped like the hexdump -C command which
includes offsets, byte values in hex, and ASCII output
The configuration options are controlled by an exported package global,
spew.Config. See ConfigState for options documentation.
See Fdump if you would prefer dumping to an arbitrary io.Writer or Sdump to
get the formatted result as a string.
*/
func Dump(a ...interface{}) {
fdump(&Config, os.Stdout, a...)
}
================================================
FILE: evmcc/vendor/github.com/davecgh/go-spew/spew/format.go
================================================
/*
* Copyright (c) 2013-2016 Dave Collins
*
* Permission to use, copy, modify, and distribute this software for any
* purpose with or without fee is hereby granted, provided that the above
* copyright notice and this permission notice appear in all copies.
*
* THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES
* WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
* MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR
* ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
* WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
* ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF
* OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
*/
package spew
import (
"bytes"
"fmt"
"reflect"
"strconv"
"strings"
)
// supportedFlags is a list of all the character flags supported by fmt package.
const supportedFlags = "0-+# "
// formatState implements the fmt.Formatter interface and contains information
// about the state of a formatting operation. The NewFormatter function can
// be used to get a new Formatter which can be used directly as arguments
// in standard fmt package printing calls.
type formatState struct {
value interface{}
fs fmt.State
depth int
pointers map[uintptr]int
ignoreNextType bool
cs *ConfigState
}
// buildDefaultFormat recreates the original format string without precision
// and width information to pass in to fmt.Sprintf in the case of an
// unrecognized type. Unless new types are added to the language, this
// function won't ever be called.
func (f *formatState) buildDefaultFormat() (format string) {
buf := bytes.NewBuffer(percentBytes)
for _, flag := range supportedFlags {
if f.fs.Flag(int(flag)) {
buf.WriteRune(flag)
}
}
buf.WriteRune('v')
format = buf.String()
return format
}
// constructOrigFormat recreates the original format string including precision
// and width information to pass along to the standard fmt package. This allows
// automatic deferral of all format strings this package doesn't support.
func (f *formatState) constructOrigFormat(verb rune) (format string) {
buf := bytes.NewBuffer(percentBytes)
for _, flag := range supportedFlags {
if f.fs.Flag(int(flag)) {
buf.WriteRune(flag)
}
}
if width, ok := f.fs.Width(); ok {
buf.WriteString(strconv.Itoa(width))
}
if precision, ok := f.fs.Precision(); ok {
buf.Write(precisionBytes)
buf.WriteString(strconv.Itoa(precision))
}
buf.WriteRune(verb)
format = buf.String()
return format
}
// unpackValue returns values inside of non-nil interfaces when possible and
// ensures that types for values which have been unpacked from an interface
// are displayed when the show types flag is also set.
// This is useful for data types like structs, arrays, slices, and maps which
// can contain varying types packed inside an interface.
func (f *formatState) unpackValue(v reflect.Value) reflect.Value {
if v.Kind() == reflect.Interface {
f.ignoreNextType = false
if !v.IsNil() {
v = v.Elem()
}
}
return v
}
// formatPtr handles formatting of pointers by indirecting them as necessary.
func (f *formatState) formatPtr(v reflect.Value) {
// Display nil if top level pointer is nil.
showTypes := f.fs.Flag('#')
if v.IsNil() && (!showTypes || f.ignoreNextType) {
f.fs.Write(nilAngleBytes)
return
}
// Remove pointers at or below the current depth from map used to detect
// circular refs.
for k, depth := range f.pointers {
if depth >= f.depth {
delete(f.pointers, k)
}
}
// Keep list of all dereferenced pointers to possibly show later.
pointerChain := make([]uintptr, 0)
// Figure out how many levels of indirection there are by derferencing
// pointers and unpacking interfaces down the chain while detecting circular
// references.
nilFound := false
cycleFound := false
indirects := 0
ve := v
for ve.Kind() == reflect.Ptr {
if ve.IsNil() {
nilFound = true
break
}
indirects++
addr := ve.Pointer()
pointerChain = append(pointerChain, addr)
if pd, ok := f.pointers[addr]; ok && pd < f.depth {
cycleFound = true
indirects--
break
}
f.pointers[addr] = f.depth
ve = ve.Elem()
if ve.Kind() == reflect.Interface {
if ve.IsNil() {
nilFound = true
break
}
ve = ve.Elem()
}
}
// Display type or indirection level depending on flags.
if showTypes && !f.ignoreNextType {
f.fs.Write(openParenBytes)
f.fs.Write(bytes.Repeat(asteriskBytes, indirects))
f.fs.Write([]byte(ve.Type().String()))
f.fs.Write(closeParenBytes)
} else {
if nilFound || cycleFound {
indirects += strings.Count(ve.Type().String(), "*")
}
f.fs.Write(openAngleBytes)
f.fs.Write([]byte(strings.Repeat("*", indirects)))
f.fs.Write(closeAngleBytes)
}
// Display pointer information depending on flags.
if f.fs.Flag('+') && (len(pointerChain) > 0) {
f.fs.Write(openParenBytes)
for i, addr := range pointerChain {
if i > 0 {
f.fs.Write(pointerChainBytes)
}
printHexPtr(f.fs, addr)
}
f.fs.Write(closeParenBytes)
}
// Display dereferenced value.
switch {
case nilFound:
f.fs.Write(nilAngleBytes)
case cycleFound:
f.fs.Write(circularShortBytes)
default:
f.ignoreNextType = true
f.format(ve)
}
}
// format is the main workhorse for providing the Formatter interface. It
// uses the passed reflect value to figure out what kind of object we are
// dealing with and formats it appropriately. It is a recursive function,
// however circular data structures are detected and handled properly.
func (f *formatState) format(v reflect.Value) {
// Handle invalid reflect values immediately.
kind := v.Kind()
if kind == reflect.Invalid {
f.fs.Write(invalidAngleBytes)
return
}
// Handle pointers specially.
if kind == reflect.Ptr {
f.formatPtr(v)
return
}
// Print type information unless already handled elsewhere.
if !f.ignoreNextType && f.fs.Flag('#') {
f.fs.Write(openParenBytes)
f.fs.Write([]byte(v.Type().String()))
f.fs.Write(closeParenBytes)
}
f.ignoreNextType = false
// Call Stringer/error interfaces if they exist and the handle methods
// flag is enabled.
if !f.cs.DisableMethods {
if (kind != reflect.Invalid) && (kind != reflect.Interface) {
if handled := handleMethods(f.cs, f.fs, v); handled {
return
}
}
}
switch kind {
case reflect.Invalid:
// Do nothing. We should never get here since invalid has already
// been handled above.
case reflect.Bool:
printBool(f.fs, v.Bool())
case reflect.Int8, reflect.Int16, reflect.Int32, reflect.Int64, reflect.Int:
printInt(f.fs, v.Int(), 10)
case reflect.Uint8, reflect.Uint16, reflect.Uint32, reflect.Uint64, reflect.Uint:
printUint(f.fs, v.Uint(), 10)
case reflect.Float32:
printFloat(f.fs, v.Float(), 32)
case reflect.Float64:
printFloat(f.fs, v.Float(), 64)
case reflect.Complex64:
printComplex(f.fs, v.Complex(), 32)
case reflect.Complex128:
printComplex(f.fs, v.Complex(), 64)
case reflect.Slice:
if v.IsNil() {
f.fs.Write(nilAngleBytes)
break
}
fallthrough
case reflect.Array:
f.fs.Write(openBracketBytes)
f.depth++
if (f.cs.MaxDepth != 0) && (f.depth > f.cs.MaxDepth) {
f.fs.Write(maxShortBytes)
} else {
numEntries := v.Len()
for i := 0; i < numEntries; i++ {
if i > 0 {
f.fs.Write(spaceBytes)
}
f.ignoreNextType = true
f.format(f.unpackValue(v.Index(i)))
}
}
f.depth--
f.fs.Write(closeBracketBytes)
case reflect.String:
f.fs.Write([]byte(v.String()))
case reflect.Interface:
// The only time we should get here is for nil interfaces due to
// unpackValue calls.
if v.IsNil() {
f.fs.Write(nilAngleBytes)
}
case reflect.Ptr:
// Do nothing. We should never get here since pointers have already
// been handled above.
case reflect.Map:
// nil maps should be indicated as different than empty maps
if v.IsNil() {
f.fs.Write(nilAngleBytes)
break
}
f.fs.Write(openMapBytes)
f.depth++
if (f.cs.MaxDepth != 0) && (f.depth > f.cs.MaxDepth) {
f.fs.Write(maxShortBytes)
} else {
keys := v.MapKeys()
if f.cs.SortKeys {
sortValues(keys, f.cs)
}
for i, key := range keys {
if i > 0 {
f.fs.Write(spaceBytes)
}
f.ignoreNextType = true
f.format(f.unpackValue(key))
f.fs.Write(colonBytes)
f.ignoreNextType = true
f.format(f.unpackValue(v.MapIndex(key)))
}
}
f.depth--
f.fs.Write(closeMapBytes)
case reflect.Struct:
numFields := v.NumField()
f.fs.Write(openBraceBytes)
f.depth++
if (f.cs.MaxDepth != 0) && (f.depth > f.cs.MaxDepth) {
f.fs.Write(maxShortBytes)
} else {
vt := v.Type()
for i := 0; i < numFields; i++ {
if i > 0 {
f.fs.Write(spaceBytes)
}
vtf := vt.Field(i)
if f.fs.Flag('+') || f.fs.Flag('#') {
f.fs.Write([]byte(vtf.Name))
f.fs.Write(colonBytes)
}
f.format(f.unpackValue(v.Field(i)))
}
}
f.depth--
f.fs.Write(closeBraceBytes)
case reflect.Uintptr:
printHexPtr(f.fs, uintptr(v.Uint()))
case reflect.UnsafePointer, reflect.Chan, reflect.Func:
printHexPtr(f.fs, v.Pointer())
// There were not any other types at the time this code was written, but
// fall back to letting the default fmt package handle it if any get added.
default:
format := f.buildDefaultFormat()
if v.CanInterface() {
fmt.Fprintf(f.fs, format, v.Interface())
} else {
fmt.Fprintf(f.fs, format, v.String())
}
}
}
// Format satisfies the fmt.Formatter interface. See NewFormatter for usage
// details.
func (f *formatState) Format(fs fmt.State, verb rune) {
f.fs = fs
// Use standard formatting for verbs that are not v.
if verb != 'v' {
format := f.constructOrigFormat(verb)
fmt.Fprintf(fs, format, f.value)
return
}
if f.value == nil {
if fs.Flag('#') {
fs.Write(interfaceBytes)
}
fs.Write(nilAngleBytes)
return
}
f.format(reflect.ValueOf(f.value))
}
// newFormatter is a helper function to consolidate the logic from the various
// public methods which take varying config states.
func newFormatter(cs *ConfigState, v interface{}) fmt.Formatter {
fs := &formatState{value: v, cs: cs}
fs.pointers = make(map[uintptr]int)
return fs
}
/*
NewFormatter returns a custom formatter that satisfies the fmt.Formatter
interface. As a result, it integrates cleanly with standard fmt package
printing functions. The formatter is useful for inline printing of smaller data
types similar to the standard %v format specifier.
The custom formatter only responds to the %v (most compact), %+v (adds pointer
addresses), %#v (adds types), or %#+v (adds types and pointer addresses) verb
combinations. Any other verbs such as %x and %q will be sent to the the
standard fmt package for formatting. In addition, the custom formatter ignores
the width and precision arguments (however they will still work on the format
specifiers not handled by the custom formatter).
Typically this function shouldn't be called directly. It is much easier to make
use of the custom formatter by calling one of the convenience functions such as
Printf, Println, or Fprintf.
*/
func NewFormatter(v interface{}) fmt.Formatter {
return newFormatter(&Config, v)
}
================================================
FILE: evmcc/vendor/github.com/davecgh/go-spew/spew/spew.go
================================================
/*
* Copyright (c) 2013-2016 Dave Collins
*
* Permission to use, copy, modify, and distribute this software for any
* purpose with or without fee is hereby granted, provided that the above
* copyright notice and this permission notice appear in all copies.
*
* THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES
* WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
* MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR
* ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
* WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
* ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF
* OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
*/
package spew
import (
"fmt"
"io"
)
// Errorf is a wrapper for fmt.Errorf that treats each argument as if it were
// passed with a default Formatter interface returned by NewFormatter. It
// returns the formatted string as a value that satisfies error. See
// NewFormatter for formatting details.
//
// This function is shorthand for the following syntax:
//
// fmt.Errorf(format, spew.NewFormatter(a), spew.NewFormatter(b))
func Errorf(format string, a ...interface{}) (err error) {
return fmt.Errorf(format, convertArgs(a)...)
}
// Fprint is a wrapper for fmt.Fprint that treats each argument as if it were
// passed with a default Formatter interface returned by NewFormatter. It
// returns the number of bytes written and any write error encountered. See
// NewFormatter for formatting details.
//
// This function is shorthand for the following syntax:
//
// fmt.Fprint(w, spew.NewFormatter(a), spew.NewFormatter(b))
func Fprint(w io.Writer, a ...interface{}) (n int, err error) {
return fmt.Fprint(w, convertArgs(a)...)
}
// Fprintf is a wrapper for fmt.Fprintf that treats each argument as if it were
// passed with a default Formatter interface returned by NewFormatter. It
// returns the number of bytes written and any write error encountered. See
// NewFormatter for formatting details.
//
// This function is shorthand for the following syntax:
//
// fmt.Fprintf(w, format, spew.NewFormatter(a), spew.NewFormatter(b))
func Fprintf(w io.Writer, format string, a ...interface{}) (n int, err error) {
return fmt.Fprintf(w, format, convertArgs(a)...)
}
// Fprintln is a wrapper for fmt.Fprintln that treats each argument as if it
// passed with a default Formatter interface returned by NewFormatter. See
// NewFormatter for formatting details.
//
// This function is shorthand for the following syntax:
//
// fmt.Fprintln(w, spew.NewFormatter(a), spew.NewFormatter(b))
func Fprintln(w io.Writer, a ...interface{}) (n int, err error) {
return fmt.Fprintln(w, convertArgs(a)...)
}
// Print is a wrapper for fmt.Print that treats each argument as if it were
// passed with a default Formatter interface returned by NewFormatter. It
// returns the number of bytes written and any write error encountered. See
// NewFormatter for formatting details.
//
// This function is shorthand for the following syntax:
//
// fmt.Print(spew.NewFormatter(a), spew.NewFormatter(b))
func Print(a ...interface{}) (n int, err error) {
return fmt.Print(convertArgs(a)...)
}
// Printf is a wrapper for fmt.Printf that treats each argument as if it were
// passed with a default Formatter interface returned by NewFormatter. It
// returns the number of bytes written and any write error encountered. See
// NewFormatter for formatting details.
//
// This function is shorthand for the following syntax:
//
// fmt.Printf(format, spew.NewFormatter(a), spew.NewFormatter(b))
func Printf(format string, a ...interface{}) (n int, err error) {
return fmt.Printf(format, convertArgs(a)...)
}
// Println is a wrapper for fmt.Println that treats each argument as if it were
// passed with a default Formatter interface returned by NewFormatter. It
// returns the number of bytes written and any write error encountered. See
// NewFormatter for formatting details.
//
// This function is shorthand for the following syntax:
//
// fmt.Println(spew.NewFormatter(a), spew.NewFormatter(b))
func Println(a ...interface{}) (n int, err error) {
return fmt.Println(convertArgs(a)...)
}
// Sprint is a wrapper for fmt.Sprint that treats each argument as if it were
// passed with a default Formatter interface returned by NewFormatter. It
// returns the resulting string. See NewFormatter for formatting details.
//
// This function is shorthand for the following syntax:
//
// fmt.Sprint(spew.NewFormatter(a), spew.NewFormatter(b))
func Sprint(a ...interface{}) string {
return fmt.Sprint(convertArgs(a)...)
}
// Sprintf is a wrapper for fmt.Sprintf that treats each argument as if it were
// passed with a default Formatter interface returned by NewFormatter. It
// returns the resulting string. See NewFormatter for formatting details.
//
// This function is shorthand for the following syntax:
//
// fmt.Sprintf(format, spew.NewFormatter(a), spew.NewFormatter(b))
func Sprintf(format string, a ...interface{}) string {
return fmt.Sprintf(format, convertArgs(a)...)
}
// Sprintln is a wrapper for fmt.Sprintln that treats each argument as if it
// were passed with a default Formatter interface returned by NewFormatter. It
// returns the resulting string. See NewFormatter for formatting details.
//
// This function is shorthand for the following syntax:
//
// fmt.Sprintln(spew.NewFormatter(a), spew.NewFormatter(b))
func Sprintln(a ...interface{}) string {
return fmt.Sprintln(convertArgs(a)...)
}
// convertArgs accepts a slice of arguments and returns a slice of the same
// length with each argument converted to a default spew Formatter interface.
func convertArgs(args []interface{}) (formatters []interface{}) {
formatters = make([]interface{}, len(args))
for index, arg := range args {
formatters[index] = NewFormatter(arg)
}
return formatters
}
================================================
FILE: evmcc/vendor/github.com/docker/docker/AUTHORS
================================================
# This file lists all individuals having contributed content to the repository.
# For how it is generated, see `hack/generate-authors.sh`.
Aanand Prasad
Aaron Davidson
Aaron Feng
Aaron Huslage
Aaron L. Xu
Aaron Lehmann
Aaron Welch
Aaron.L.Xu
Abel Muiño
Abhijeet Kasurde
Abhinandan Prativadi
Abhinav Ajgaonkar
Abhishek Chanda
Abhishek Sharma
Abin Shahab
Adam Avilla
Adam Eijdenberg
Adam Kunk
Adam Miller
Adam Mills
Adam Pointer
Adam Singer
Adam Walz
Addam Hardy
Aditi Rajagopal
Aditya
Adnan Khan
Adolfo Ochagavía
Adria Casas
Adrian Moisey
Adrian Mouat
Adrian Oprea
Adrien Folie
Adrien Gallouët
Ahmed Kamal
Ahmet Alp Balkan
Aidan Feldman
Aidan Hobson Sayers
AJ Bowen
Ajey Charantimath
ajneu
Akash Gupta
Akihiro Matsushima
Akihiro Suda
Akim Demaille
Akira Koyasu
Akshay Karle
Al Tobey
alambike
Alan Scherger
Alan Thompson
Albert Callarisa
Albert Zhang
Alejandro González Hevia
Aleksa Sarai
Aleksandrs Fadins
Alena Prokharchyk
Alessandro Boch
Alessio Biancalana
Alex Chan
Alex Chen
Alex Coventry
Alex Crawford
Alex Ellis
Alex Gaynor
Alex Goodman
Alex Olshansky
Alex Samorukov
Alex Warhawk
Alexander Artemenko
Alexander Boyd
Alexander Larsson
Alexander Midlash
Alexander Morozov
Alexander Shopov
Alexandre Beslic
Alexandre Garnier
Alexandre González
Alexandre Jomin
Alexandru Sfirlogea
Alexey Guskov
Alexey Kotlyarov
Alexey Shamrin
Alexis THOMAS
Alfred Landrum
Ali Dehghani
Alicia Lauerman
Alihan Demir
Allen Madsen
Allen Sun
almoehi
Alvaro Saurin
Alvin Deng
Alvin Richards
amangoel
Amen Belayneh
Amir Goldstein
Amit Bakshi
Amit Krishnan
Amit Shukla
Amr Gawish
Amy Lindburg
Anand Patil
AnandkumarPatel
Anatoly Borodin
Anchal Agrawal
Anda Xu
Anders Janmyr
Andre Dublin <81dublin@gmail.com>
Andre Granovsky
Andrea Luzzardi
Andrea Turli
Andreas Elvers
Andreas Köhler
Andreas Savvides
Andreas Tiefenthaler
Andrei Gherzan
Andrew C. Bodine
Andrew Clay Shafer
Andrew Duckworth
Andrew France
Andrew Gerrand
Andrew Guenther
Andrew He
Andrew Hsu
Andrew Kuklewicz
Andrew Macgregor
Andrew Macpherson
Andrew Martin
Andrew McDonnell
Andrew Munsell
Andrew Pennebaker
Andrew Po
Andrew Weiss
Andrew Williams
Andrews Medina
Andrey Petrov
Andrey Stolbovsky
André Martins
andy
Andy Chambers
andy diller
Andy Goldstein
Andy Kipp
Andy Rothfusz
Andy Smith
Andy Wilson
Anes Hasicic
Anil Belur
Anil Madhavapeddy
Ankush Agarwal
Anonmily
Anran Qiao
Anshul Pundir
Anthon van der Neut
Anthony Baire
Anthony Bishopric
Anthony Dahanne
Anthony Sottile
Anton Löfgren
Anton Nikitin
Anton Polonskiy
Anton Tiurin
Antonio Murdaca
Antonis Kalipetis
Antony Messerli
Anuj Bahuguna
Anusha Ragunathan
apocas
Arash Deshmeh
ArikaChen
Arnaud Lefebvre
Arnaud Porterie
Arthur Barr
Arthur Gautier
Artur Meyster