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Repository: tylerhou/fiber
Branch: main
Commit: 713939487db1
Files: 19
Total size: 106.2 KB

Directory structure:
gitextract_hzh6qio3/

├── CONTRIBUTING.md
├── LICENSE
├── README.md
├── examples/
│   ├── edit_distance.py
│   ├── fib.py
│   ├── matrix_chain_mult.py
│   ├── sum.py
│   └── tree_recursion.py
└── src/
    ├── expressions.py
    ├── fiber.py
    ├── fiber_test.py
    ├── jumps.py
    ├── jumps_test.py
    ├── manual.py
    ├── mappers.py
    ├── mappers_test.py
    ├── trampoline.py
    ├── trampoline_test.py
    └── utils.py

================================================
FILE CONTENTS
================================================

================================================
FILE: CONTRIBUTING.md
================================================
# How to Contribute

We'd love to accept your patches and contributions to this project. There are
just a few small guidelines you need to follow.

## Contributor License Agreement

Contributions to this project must be accompanied by a Contributor License
Agreement. You (or your employer) retain the copyright to your contribution;
this simply gives us permission to use and redistribute your contributions as
part of the project. Head over to <https://cla.developers.google.com/> to see
your current agreements on file or to sign a new one.

You generally only need to submit a CLA once, so if you've already submitted one
(even if it was for a different project), you probably don't need to do it
again.

## Code Reviews

All submissions, including submissions by project members, require review. We
use GitHub pull requests for this purpose. Consult
[GitHub Help](https://help.github.com/articles/about-pull-requests/) for more
information on using pull requests.

## Community Guidelines

This project follows [Google's Open Source Community
Guidelines](https://opensource.google/conduct/).

================================================
FILE: LICENSE
================================================

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================================================
FILE: README.md
================================================
# Fiber

Fiber implements an proof-of-concept Python decorator that rewrites a function
so that it can be paused and resumed (by moving stack variables to a heap frame
and adding if statements to simulate jumps/gotos to specific lines of code).

Then, using a trampoline function that simulates the call stack on the heap, we
can call functions that recurse arbitrarily deeply without stack overflowing
(assuming we don't run out of heap memory).

```python3
cache = {}

@fiber.fiber(locals=locals())
def fib(n):
    assert n >= 0
    if n in cache:
        return cache[n]
    if n == 0:
        return 0
    if n == 1:
        return 1
    cache[n] = fib(n-1) + fib(n-2)
    return cache[n]

print(sys.getrecursionlimit())  # 1000 by default

# https://www.wolframalpha.com/input/?i=fib%281010%29+mod+10**5
print(trampoline.run(fib, [1010]) % 10 ** 5) # 74305
```

Please do not use this in production.

## TOC

* [Fiber](#fiber)
   * [How it works](#how-it-works)
   * [Performance](#performance)
   * [Limitations](#limitations)
      * [Possible improvements](#possible-improvements)
   * [Questions](#questions)
      * [Why didn't you use Python generators?](#why-didnt-you-use-python-generators)
      * [Why did you write this?](#why-did-you-write-this)
   * [Contributing](#contributing)
   * [License](#license)
   * [Disclaimer](#disclaimer)

## How it works

A quick refresher on the call stack: normally, when some function A calls
another function B, A is "paused" while B runs to completion. Then, once B
finishes, A is resumed.

In order to move the call stack to the heap, we need to transform function A
to (1) store all variables on the heap, and (2) be able to resume execution
at specific lines of code within the function.

The first step is easy: we rewrite all local loads and stores to instead load
and store in a frame dictionary that is passed into the function. The second is
more difficult: because Python doesn't support goto statements, we have to
insert if statements to skip the code prefix that we don't want to execute.

There are a variety of ["special
forms"](https://www.gnu.org/software/emacs/manual/html_node/elisp/Special-Forms.html)
that cannot be jumped into. These we must handle by rewriting them into a form
that we do handle.

For example, if we recursively call a function inside a for loop, we would like
to be able to resume execution on the same iteration. However, when Python
executes a for loop on an non-iterator iterable it will create a new iterator
every time. To handle this case, we rewrite for loops into the equivalent while
loop. Similarly, we must rewrite boolean expressions that short circuit (`and`,
`or`) into the equivalent if statements.

Lastly, we must replace all recursive calls and normal returns by instead
returning an instruction to a trampoline to call the child function or return
the value to the parent function, respectively.

To recap, here are the AST passes we currently implement:

1. Rewrite special forms:
   - `for_to_while`: Transforms for loops into the equivalent while loops.
   - `promote_while_cond`: Rewrites the while conditional to use a temporary
     variable that is updated every loop iteration so that we can control when
     it is evaluated (e.g. if the loop condition includes a recursive call).
   - `bool_exps_to_if`: Converts `and` and `or` expressions into the
     equivalent if statements.
1. `promote_to_temporary`: Assigns the results of recursive calls into
   temporary variables. This is necessary when we make multiple recursive calls
   in the same statement (e.g. `fib(n-1) + fib(n-2)`): we need to resume
   execution in the middle of the expression.
1. `remove_trivial_temporaries`: Removes temporaries that are assigned to only
   once and are directly assigned to some other variable, replacing subsequent
   usages with that other variable. This helps us detect tail calls.
1. `insert_jumps`: Marks the statement after yield points (currently recursive
   calls and normal returns) with a `pc` index, and inserts if statements so
   that re-execution of the function will resume at that program counter.
1. `lift_locals_to_frame`: Replaces loads and stores of local variables to
   loads and stores in the frame object.
1. `add_trampoline_returns`: Replaces places where we must yield (recursive
   calls and normal returns) with returns to the trampoline function.
1. `fix_fn_def`: Rewrites the function defintion to take a `frame` parameter.

See the [`examples`](examples) directory for functions and the results after
each AST pass. Also, see [`src/trampoline_test.py`](src/trampoline_test.py) for
some test cases.

## Performance

A simple tail-recursive function that computes the sum of an array takes about
10-11 seconds to compute with Fiber. 1000 iterations of the equivalent for loop
takes 7-8 seconds to compute. So we are slower by roughly a factor of 1000.

```python3
lst = list(range(1, 100001))

# fiber
@fiber.fiber(locals=locals())
def sum(lst, acc):
    if not lst:
        return acc
    return sum(lst[1:], acc + lst[0])

# for loop
total = 0
for i in lst:
    total += i

print(total, trampoline.run(sum, [lst, 0]))  # 5000050000, 5000050000
```

We could improve the performance of the code by eliminating redundant if
checks in the generated code. Also, as we statically know the stack variables,
we can use an array for the stack frame and integer indexes (instead of a
dictionary and string hashes + lookups). This should improve the performance
significantly, but there will still probably be a large amount of overhead.

Another performance improvement is to inline the stack array: instead of
storing a list of frames in the trampoline, we could variables directly in the
stack. Again, we can compute the frame size statically. Based on some tests in
a handwritten JavaScript implementation, this has the potential to speed up the
code by roughly a factor of 2-3, at the cost of a more complex implementation.

## Limitations

- The transformation works on the AST level, so we don't support other
  decorators (for example, we cannot use
  [functools.cache](https://docs.python.org/3.10/library/functools.html#functools.cache)
  in the above Fibonacci example).

- The function can only access variables that are passed in the `locals=`
  argument. As a consequence of this, to resolve recursive function calls,
  we maintain a global mapping of all fiber functions by name. This means that
  fibers must have distinct names.

- We don't support some special forms (ternaries, comprehensions). These can
  easily be added as a rewrite transformation.

- We don't support exceptions. This would require us to keep track of exception
  handlers in the trampoline and insert returns to the trampoline to register
  and deregister handlers.

- We don't support generators. To add support, we would have to modify the
  trampoline to accept another operation type (yield) that sends a value to the
  function that called `next()`. Also, the trampoline would have to support
  multiple call stacks.


### Possible improvements

- Improve test coverage on some of the AST transformations.
  - `remove_trivial_temporaries` may have a bug if the variable that it is
    replaced with is reassigned to another value.
- Support more special forms (comprehensions, generators).
- Support exceptions.
- Support recursive calls that don't read the return value.

## Questions

### Why didn't you use Python generators?

It's less interesting as the transformations are easier. Here, we are
effectively implementing generators in userspace (i.e. not needing VM support);
see the answer to the next question for why this is useful.

Also, people have used generators to do this; see [one recent generator
example](https://hurryabit.github.io/blog/stack-safety-for-free/).

### Why did you write this?

- [A+ project for CS 61A at
  Berkeley.](https://web.archive.org/web/20211208153249/https://cs61a.org/articles/about/#a-grades)
  During the course, we created a Scheme interpreter. The extra credit
  question we to replace tail calls in Python with a return to a trampoline,
  with the goal that tail call optimization in Python would let us evaluate
  tail calls to arbitrary depth in Scheme, in constant space.

  The test cases for the question checked whether interpreting tail-call
  recursive functions in Scheme caused a Python stack overflow. Using this
  Fiber implementation, (1) without tail call optimization in our trampoline,
  we would still be able to pass the test cases (we just wouldn't use constant
  space) and (2) we can now evaluate any Scheme expression to arbitrary depth,
  even if they are not in tail form.

- The React framework has an a bug open which explores a compiler transform to
  rewrite JavaScript generators to a state machine so that recursive operations
  (render, reconcilation) can be written more easily. This is necessary because
  some JavaScript engines still don't support generators.

  This project basically implements a rough version of that compiler transform
  as a proof of concept, just in Python.
  https://github.com/facebook/react/pull/18942

## Contributing

See [`CONTRIBUTING.md`](CONTRIBUTING.md) for more details.

## License

Apache 2.0; see [`LICENSE`](LICENSE) for more details.

## Disclaimer

This is a personal project, not an official Google project. It is not supported
by Google and Google specifically disclaims all warranties as to its quality,
merchantability, or fitness for a particular purpose.



================================================
FILE: examples/edit_distance.py
================================================
# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

# Pass (0): Start

def edit_distance__helper(f, s):
    if f == len(first):
        return len(second) - s
    if s == len(second):
        return len(first) - f

    if first[f] == second[s]:
        return edit_distance__helper(f + 1, s + 1)

    del_f = edit_distance__helper(f + 1, s) + 1
    replace = edit_distance__helper(f + 1, s + 1) + 1
    del_s = edit_distance__helper(f, s + 1) + 1

    return min(del_f, replace, del_s)


# ------------------------------------


# Pass (1): for_to_while

def edit_distance__helper(f, s):
    if f == len(first):
        return len(second) - s
    if s == len(second):
        return len(first) - f

    if first[f] == second[s]:
        return edit_distance__helper(f + 1, s + 1)

    del_f = edit_distance__helper(f + 1, s) + 1
    replace = edit_distance__helper(f + 1, s + 1) + 1
    del_s = edit_distance__helper(f, s + 1) + 1

    return min(del_f, replace, del_s)


# ------------------------------------


# Pass (2): promote_while_cond

def edit_distance__helper(f, s):
    if f == len(first):
        return len(second) - s
    if s == len(second):
        return len(first) - f

    if first[f] == second[s]:
        return edit_distance__helper(f + 1, s + 1)

    del_f = edit_distance__helper(f + 1, s) + 1
    replace = edit_distance__helper(f + 1, s + 1) + 1
    del_s = edit_distance__helper(f, s + 1) + 1

    return min(del_f, replace, del_s)


# ------------------------------------


# Pass (3): bool_exps_to_if

def edit_distance__helper(f, s):
    if f == len(first):
        return len(second) - s
    if s == len(second):
        return len(first) - f

    if first[f] == second[s]:
        return edit_distance__helper(f + 1, s + 1)

    del_f = edit_distance__helper(f + 1, s) + 1
    replace = edit_distance__helper(f + 1, s + 1) + 1
    del_s = edit_distance__helper(f, s + 1) + 1

    return min(del_f, replace, del_s)


# ------------------------------------


# Pass (4): promote_to_temporary_m

def edit_distance__helper(f, s):
    if f == len(first):
        return len(second) - s
    if s == len(second):
        return len(first) - f

    if first[f] == second[s]:
        __tmp0__ = edit_distance__helper(f + 1, s + 1)
        return __tmp0__

    __tmp1__ = edit_distance__helper(f + 1, s)
    del_f = __tmp1__ + 1
    __tmp2__ = edit_distance__helper(f + 1, s + 1)
    replace = __tmp2__ + 1
    __tmp3__ = edit_distance__helper(f, s + 1)
    del_s = __tmp3__ + 1

    return min(del_f, replace, del_s)


# ------------------------------------


# Pass (5): remove_trivial_temporaries

def edit_distance__helper(f, s):
    if f == len(first):
        return len(second) - s
    if s == len(second):
        return len(first) - f

    if first[f] == second[s]:
        return edit_distance__helper(f + 1, s + 1)

    __tmp1__ = edit_distance__helper(f + 1, s)
    del_f = __tmp1__ + 1
    __tmp2__ = edit_distance__helper(f + 1, s + 1)
    replace = __tmp2__ + 1
    __tmp3__ = edit_distance__helper(f, s + 1)
    del_s = __tmp3__ + 1

    return min(del_f, replace, del_s)


# ------------------------------------


# Pass (6): insert_jumps

def edit_distance__helper(f, s):
    if __pc == 0:
        if f == len(first):
            if __pc == 0:
                return len(second) - s
                __pc = 1
        if s == len(second):
            if __pc == 0:
                return len(first) - f
                __pc = 1

        if first[f] == second[s]:
            if __pc == 0:
                return edit_distance__helper(f + 1, s + 1)
                __pc = 1
        __pc = 1

    if __pc == 1:
        __tmp1__ = edit_distance__helper(f + 1, s)
        __pc = 2
    if __pc == 2:
        del_f = __tmp1__ + 1
        __tmp2__ = edit_distance__helper(f + 1, s + 1)
        __pc = 3
    if __pc == 3:
        replace = __tmp2__ + 1
        __tmp3__ = edit_distance__helper(f, s + 1)
        __pc = 4

    if __pc == 4:
        del_s = __tmp3__ + 1
        return min(del_f, replace, del_s)
        __pc = 5


# ------------------------------------


# Pass (7): lift_locals_to_frame

def edit_distance__helper(f, s):
    if frame['__pc'] == 0:
        if frame['f'] == len(first):
            if frame['__pc'] == 0:
                return len(second) - frame['s']
                frame['__pc'] = 1
        if frame['s'] == len(second):
            if frame['__pc'] == 0:
                return len(first) - frame['f']
                frame['__pc'] = 1

        if first[frame['f']] == second[frame['s']]:
            if frame['__pc'] == 0:
                return edit_distance__helper(frame['f'] + 1, frame['s'] + 1)
                frame['__pc'] = 1
        frame['__pc'] = 1

    if frame['__pc'] == 1:
        frame['__tmp1__'] = edit_distance__helper(frame['f'] + 1, frame['s'])
        frame['__pc'] = 2
    if frame['__pc'] == 2:
        frame['del_f'] = frame['__tmp1__'] + 1
        frame['__tmp2__'] = edit_distance__helper(frame['f'] + 1, frame['s'] + 1)
        frame['__pc'] = 3
    if frame['__pc'] == 3:
        frame['replace'] = frame['__tmp2__'] + 1
        frame['__tmp3__'] = edit_distance__helper(frame['f'], frame['s'] + 1)
        frame['__pc'] = 4

    if frame['__pc'] == 4:
        frame['del_s'] = frame['__tmp3__'] + 1
        return min(frame['del_f'], frame['replace'], frame['del_s'])
        frame['__pc'] = 5


# ------------------------------------


# Pass (8): add_trampoline_returns

def edit_distance__helper(f, s):
    if frame['__pc'] == 0:
        if frame['f'] == len(first):
            if frame['__pc'] == 0:
                frame['__pc'] = 1
                return RetOp(value=len(second) - frame['s'])
        if frame['s'] == len(second):
            if frame['__pc'] == 0:
                frame['__pc'] = 1
                return RetOp(value=len(first) - frame['f'])

        if first[frame['f']] == second[frame['s']]:
            if frame['__pc'] == 0:
                frame['__pc'] = 1
                return TailCallOp(func='edit_distance__helper', args=[frame['f'] + 1, frame['s'] + 1], kwargs={})
        frame['__pc'] = 1

    if frame['__pc'] == 1:
        frame['__pc'] = 2
        return CallOp(func='edit_distance__helper', args=[frame['f'] + 1, frame['s']], kwargs={}, ret_variable='__tmp1__')
    if frame['__pc'] == 2:
        frame['del_f'] = frame['__tmp1__'] + 1
        frame['__pc'] = 3
        return CallOp(func='edit_distance__helper', args=[frame['f'] + 1, frame['s'] + 1], kwargs={}, ret_variable='__tmp2__')
    if frame['__pc'] == 3:
        frame['replace'] = frame['__tmp2__'] + 1
        frame['__pc'] = 4
        return CallOp(func='edit_distance__helper', args=[frame['f'], frame['s'] + 1], kwargs={}, ret_variable='__tmp3__')

    if frame['__pc'] == 4:
        frame['del_s'] = frame['__tmp3__'] + 1
        frame['__pc'] = 5
        return RetOp(value=min(frame['del_f'], frame['replace'], frame['del_s']))


# ------------------------------------


# Pass (9): fix_fn_def

def __fiberfn_edit_distance__helper(frame):
    if frame['__pc'] == 0:
        if frame['f'] == len(first):
            if frame['__pc'] == 0:
                frame['__pc'] = 1
                return RetOp(value=len(second) - frame['s'])
        if frame['s'] == len(second):
            if frame['__pc'] == 0:
                frame['__pc'] = 1
                return RetOp(value=len(first) - frame['f'])

        if first[frame['f']] == second[frame['s']]:
            if frame['__pc'] == 0:
                frame['__pc'] = 1
                return TailCallOp(func='edit_distance__helper', args=[frame['f'] + 1, frame['s'] + 1], kwargs={})
        frame['__pc'] = 1

    if frame['__pc'] == 1:
        frame['__pc'] = 2
        return CallOp(func='edit_distance__helper', args=[frame['f'] + 1, frame['s']], kwargs={}, ret_variable='__tmp1__')
    if frame['__pc'] == 2:
        frame['del_f'] = frame['__tmp1__'] + 1
        frame['__pc'] = 3
        return CallOp(func='edit_distance__helper', args=[frame['f'] + 1, frame['s'] + 1], kwargs={}, ret_variable='__tmp2__')
    if frame['__pc'] == 3:
        frame['replace'] = frame['__tmp2__'] + 1
        frame['__pc'] = 4
        return CallOp(func='edit_distance__helper', args=[frame['f'], frame['s'] + 1], kwargs={}, ret_variable='__tmp3__')

    if frame['__pc'] == 4:
        frame['del_s'] = frame['__tmp3__'] + 1
        frame['__pc'] = 5
        return RetOp(value=min(frame['del_f'], frame['replace'], frame['del_s']))


# ------------------------------------




================================================
FILE: examples/fib.py
================================================
# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

# Pass (0): Start

def fib(n):
    if n in cache:
        return cache[n]

    if n == 0:
        return 0
    if n == 1:
        return 1

    cache[n] = fib(n - 1) + fib(n - 2)
    return cache[n]


# ------------------------------------


# Pass (1): for_to_while

def fib(n):
    if n in cache:
        return cache[n]

    if n == 0:
        return 0
    if n == 1:
        return 1

    cache[n] = fib(n - 1) + fib(n - 2)
    return cache[n]


# ------------------------------------


# Pass (2): promote_while_cond

def fib(n):
    if n in cache:
        return cache[n]

    if n == 0:
        return 0
    if n == 1:
        return 1

    cache[n] = fib(n - 1) + fib(n - 2)
    return cache[n]


# ------------------------------------


# Pass (3): bool_exps_to_if

def fib(n):
    if n in cache:
        return cache[n]

    if n == 0:
        return 0
    if n == 1:
        return 1

    cache[n] = fib(n - 1) + fib(n - 2)
    return cache[n]


# ------------------------------------


# Pass (4): promote_to_temporary_m

def fib(n):
    if n in cache:
        return cache[n]

    if n == 0:
        return 0
    if n == 1:
        return 1

    __tmp0__ = fib(n - 1)
    __tmp1__ = fib(n - 2)

    cache[n] = __tmp0__ + __tmp1__
    return cache[n]


# ------------------------------------


# Pass (5): remove_trivial_temporaries

def fib(n):
    if n in cache:
        return cache[n]

    if n == 0:
        return 0
    if n == 1:
        return 1

    __tmp0__ = fib(n - 1)
    __tmp1__ = fib(n - 2)

    cache[n] = __tmp0__ + __tmp1__
    return cache[n]


# ------------------------------------


# Pass (6): insert_jumps

def fib(n):
    if __pc == 0:
        if n in cache:
            if __pc == 0:
                return cache[n]
                __pc = 1

        if n == 0:
            if __pc == 0:
                return 0
                __pc = 1
        if n == 1:
            if __pc == 0:
                return 1
                __pc = 1

        __tmp0__ = fib(n - 1)
        __pc = 1
    if __pc == 1:
        __tmp1__ = fib(n - 2)
        __pc = 2

    if __pc == 2:
        cache[n] = __tmp0__ + __tmp1__
        return cache[n]
        __pc = 3


# ------------------------------------


# Pass (7): lift_locals_to_frame

def fib(n):
    if frame['__pc'] == 0:
        if frame['n'] in cache:
            if frame['__pc'] == 0:
                return cache[frame['n']]
                frame['__pc'] = 1

        if frame['n'] == 0:
            if frame['__pc'] == 0:
                return 0
                frame['__pc'] = 1
        if frame['n'] == 1:
            if frame['__pc'] == 0:
                return 1
                frame['__pc'] = 1

        frame['__tmp0__'] = fib(frame['n'] - 1)
        frame['__pc'] = 1
    if frame['__pc'] == 1:
        frame['__tmp1__'] = fib(frame['n'] - 2)
        frame['__pc'] = 2

    if frame['__pc'] == 2:
        cache[frame['n']] = frame['__tmp0__'] + frame['__tmp1__']
        return cache[frame['n']]
        frame['__pc'] = 3


# ------------------------------------


# Pass (8): add_trampoline_returns

def fib(n):
    if frame['__pc'] == 0:
        if frame['n'] in cache:
            if frame['__pc'] == 0:
                frame['__pc'] = 1
                return RetOp(value=cache[frame['n']])

        if frame['n'] == 0:
            if frame['__pc'] == 0:
                frame['__pc'] = 1
                return RetOp(value=0)
        if frame['n'] == 1:
            if frame['__pc'] == 0:
                frame['__pc'] = 1
                return RetOp(value=1)

        frame['__pc'] = 1
        return CallOp(func='fib', args=[frame['n'] - 1], kwargs={}, ret_variable='__tmp0__')
    if frame['__pc'] == 1:
        frame['__pc'] = 2
        return CallOp(func='fib', args=[frame['n'] - 2], kwargs={}, ret_variable='__tmp1__')

    if frame['__pc'] == 2:
        cache[frame['n']] = frame['__tmp0__'] + frame['__tmp1__']
        frame['__pc'] = 3
        return RetOp(value=cache[frame['n']])


# ------------------------------------


# Pass (9): fix_fn_def

def __fiberfn_fib(frame):
    if frame['__pc'] == 0:
        if frame['n'] in cache:
            if frame['__pc'] == 0:
                frame['__pc'] = 1
                return RetOp(value=cache[frame['n']])

        if frame['n'] == 0:
            if frame['__pc'] == 0:
                frame['__pc'] = 1
                return RetOp(value=0)
        if frame['n'] == 1:
            if frame['__pc'] == 0:
                frame['__pc'] = 1
                return RetOp(value=1)

        frame['__pc'] = 1
        return CallOp(func='fib', args=[frame['n'] - 1], kwargs={}, ret_variable='__tmp0__')
    if frame['__pc'] == 1:
        frame['__pc'] = 2
        return CallOp(func='fib', args=[frame['n'] - 2], kwargs={}, ret_variable='__tmp1__')

    if frame['__pc'] == 2:
        cache[frame['n']] = frame['__tmp0__'] + frame['__tmp1__']
        frame['__pc'] = 3
        return RetOp(value=cache[frame['n']])


# ------------------------------------




================================================
FILE: examples/matrix_chain_mult.py
================================================
# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

# Pass (0): Start

def matrix_chain_mult__helper(i, j):
    if i == j:
        return 0

    max_profit = float('-inf')
    for k in range(i, j):
        profit = matrix_chain_mult__helper(i, k)
        profit += matrix_chain_mult__helper(k + 1, j)
        profit += sizes[i - 1] * sizes[k] * sizes[j]
        max_profit = max(max_profit, profit)

    return max_profit


# ------------------------------------


# Pass (1): for_to_while

def matrix_chain_mult__helper(i, j):
    if i == j:
        return 0

    max_profit = float('-inf')
    __tmp0__ = iter(range(i, j))
    __tmp1__ = True
    while __tmp1__:
        try:
            k = next(__tmp0__)
        except StopIteration:
            __tmp1__ = False
            continue
        profit = matrix_chain_mult__helper(i, k)
        profit += matrix_chain_mult__helper(k + 1, j)
        profit += sizes[i - 1] * sizes[k] * sizes[j]
        max_profit = max(max_profit, profit)

    return max_profit


# ------------------------------------


# Pass (2): promote_while_cond

def matrix_chain_mult__helper(i, j):
    if i == j:
        return 0

    max_profit = float('-inf')
    __tmp0__ = iter(range(i, j))
    __tmp1__ = True
    while __tmp1__:
        try:
            k = next(__tmp0__)
        except StopIteration:
            __tmp1__ = False
            continue
        profit = matrix_chain_mult__helper(i, k)
        profit += matrix_chain_mult__helper(k + 1, j)
        profit += sizes[i - 1] * sizes[k] * sizes[j]
        max_profit = max(max_profit, profit)

    return max_profit


# ------------------------------------


# Pass (3): bool_exps_to_if

def matrix_chain_mult__helper(i, j):
    if i == j:
        return 0

    max_profit = float('-inf')
    __tmp0__ = iter(range(i, j))
    __tmp1__ = True
    while __tmp1__:
        try:
            k = next(__tmp0__)
        except StopIteration:
            __tmp1__ = False
            continue
        profit = matrix_chain_mult__helper(i, k)
        profit += matrix_chain_mult__helper(k + 1, j)
        profit += sizes[i - 1] * sizes[k] * sizes[j]
        max_profit = max(max_profit, profit)

    return max_profit


# ------------------------------------


# Pass (4): promote_to_temporary_m

def matrix_chain_mult__helper(i, j):
    if i == j:
        return 0

    max_profit = float('-inf')
    __tmp0__ = iter(range(i, j))
    __tmp1__ = True
    while __tmp1__:
        try:
            k = next(__tmp0__)
        except StopIteration:
            __tmp1__ = False
            continue
        __tmp2__ = matrix_chain_mult__helper(i, k)
        profit = __tmp2__
        __tmp3__ = matrix_chain_mult__helper(k + 1, j)
        profit += __tmp3__
        profit += sizes[i - 1] * sizes[k] * sizes[j]
        max_profit = max(max_profit, profit)

    return max_profit


# ------------------------------------


# Pass (5): remove_trivial_temporaries

def matrix_chain_mult__helper(i, j):
    if i == j:
        return 0

    max_profit = float('-inf')
    __tmp0__ = iter(range(i, j))
    __tmp1__ = True
    while __tmp1__:
        try:
            k = next(__tmp0__)
        except StopIteration:
            __tmp1__ = False
            continue
        profit = matrix_chain_mult__helper(i, k)
        __tmp3__ = matrix_chain_mult__helper(k + 1, j)
        profit += __tmp3__
        profit += sizes[i - 1] * sizes[k] * sizes[j]
        max_profit = max(max_profit, profit)

    return max_profit


# ------------------------------------


# Pass (6): insert_jumps

def matrix_chain_mult__helper(i, j):
    if __pc == 0:
        if i == j:
            if __pc == 0:
                return 0
                __pc = 1

        max_profit = float('-inf')
        __tmp0__ = iter(range(i, j))
        __tmp1__ = True
        __pc = 1
    if 1 <= __pc < 4:
        while __tmp1__:
            if __pc == 1:
                try:
                    k = next(__tmp0__)
                except StopIteration:
                    __tmp1__ = False
                    continue
                profit = matrix_chain_mult__helper(i, k)
                __pc = 2
            if __pc == 2:
                __tmp3__ = matrix_chain_mult__helper(k + 1, j)
                __pc = 3
            if __pc == 3:
                profit += __tmp3__
                profit += sizes[i - 1] * sizes[k] * sizes[j]
                max_profit = max(max_profit, profit)
                __pc = 4
            __pc = 1
        __pc = 4

    if __pc == 4:
        return max_profit
        __pc = 5


# ------------------------------------


# Pass (7): lift_locals_to_frame

def matrix_chain_mult__helper(i, j):
    if frame['__pc'] == 0:
        if frame['i'] == frame['j']:
            if frame['__pc'] == 0:
                return 0
                frame['__pc'] = 1

        frame['max_profit'] = float('-inf')
        frame['__tmp0__'] = iter(range(frame['i'], frame['j']))
        frame['__tmp1__'] = True
        frame['__pc'] = 1
    if 1 <= frame['__pc'] < 4:
        while frame['__tmp1__']:
            if frame['__pc'] == 1:
                try:
                    frame['k'] = next(frame['__tmp0__'])
                except StopIteration:
                    frame['__tmp1__'] = False
                    continue
                frame['profit'] = matrix_chain_mult__helper(frame['i'], frame['k'])
                frame['__pc'] = 2
            if frame['__pc'] == 2:
                frame['__tmp3__'] = matrix_chain_mult__helper(frame['k'] + 1, frame['j'])
                frame['__pc'] = 3
            if frame['__pc'] == 3:
                frame['profit'] += frame['__tmp3__']
                frame['profit'] += sizes[frame['i'] - 1] * sizes[frame['k']] * sizes[frame['j']]
                frame['max_profit'] = max(frame['max_profit'], frame['profit'])
                frame['__pc'] = 4
            frame['__pc'] = 1
        frame['__pc'] = 4

    if frame['__pc'] == 4:
        return frame['max_profit']
        frame['__pc'] = 5


# ------------------------------------


# Pass (8): add_trampoline_returns

def matrix_chain_mult__helper(i, j):
    if frame['__pc'] == 0:
        if frame['i'] == frame['j']:
            if frame['__pc'] == 0:
                frame['__pc'] = 1
                return RetOp(value=0)

        frame['max_profit'] = float('-inf')
        frame['__tmp0__'] = iter(range(frame['i'], frame['j']))
        frame['__tmp1__'] = True
        frame['__pc'] = 1
    if 1 <= frame['__pc'] < 4:
        while frame['__tmp1__']:
            if frame['__pc'] == 1:
                try:
                    frame['k'] = next(frame['__tmp0__'])
                except StopIteration:
                    frame['__tmp1__'] = False
                    continue
                frame['__pc'] = 2
                return CallOp(func='matrix_chain_mult__helper', args=[frame['i'], frame['k']], kwargs={}, ret_variable='profit')
            if frame['__pc'] == 2:
                frame['__pc'] = 3
                return CallOp(func='matrix_chain_mult__helper', args=[frame['k'] + 1, frame['j']], kwargs={}, ret_variable='__tmp3__')
            if frame['__pc'] == 3:
                frame['profit'] += frame['__tmp3__']
                frame['profit'] += sizes[frame['i'] - 1] * sizes[frame['k']] * sizes[frame['j']]
                frame['max_profit'] = max(frame['max_profit'], frame['profit'])
                frame['__pc'] = 4
            frame['__pc'] = 1
        frame['__pc'] = 4

    if frame['__pc'] == 4:
        frame['__pc'] = 5
        return RetOp(value=frame['max_profit'])


# ------------------------------------


# Pass (9): fix_fn_def

def __fiberfn_matrix_chain_mult__helper(frame):
    if frame['__pc'] == 0:
        if frame['i'] == frame['j']:
            if frame['__pc'] == 0:
                frame['__pc'] = 1
                return RetOp(value=0)

        frame['max_profit'] = float('-inf')
        frame['__tmp0__'] = iter(range(frame['i'], frame['j']))
        frame['__tmp1__'] = True
        frame['__pc'] = 1
    if 1 <= frame['__pc'] < 4:
        while frame['__tmp1__']:
            if frame['__pc'] == 1:
                try:
                    frame['k'] = next(frame['__tmp0__'])
                except StopIteration:
                    frame['__tmp1__'] = False
                    continue
                frame['__pc'] = 2
                return CallOp(func='matrix_chain_mult__helper', args=[frame['i'], frame['k']], kwargs={}, ret_variable='profit')
            if frame['__pc'] == 2:
                frame['__pc'] = 3
                return CallOp(func='matrix_chain_mult__helper', args=[frame['k'] + 1, frame['j']], kwargs={}, ret_variable='__tmp3__')
            if frame['__pc'] == 3:
                frame['profit'] += frame['__tmp3__']
                frame['profit'] += sizes[frame['i'] - 1] * sizes[frame['k']] * sizes[frame['j']]
                frame['max_profit'] = max(frame['max_profit'], frame['profit'])
                frame['__pc'] = 4
            frame['__pc'] = 1
        frame['__pc'] = 4

    if frame['__pc'] == 4:
        frame['__pc'] = 5
        return RetOp(value=frame['max_profit'])


# ------------------------------------




================================================
FILE: examples/sum.py
================================================
# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

# Pass (0): Start

def sum(lst, acc):
    if not lst:
        return acc
    return sum(lst[1:], acc + lst[0])


# ------------------------------------


# Pass (1): for_to_while

def sum(lst, acc):
    if not lst:
        return acc
    return sum(lst[1:], acc + lst[0])


# ------------------------------------


# Pass (2): promote_while_cond

def sum(lst, acc):
    if not lst:
        return acc
    return sum(lst[1:], acc + lst[0])


# ------------------------------------


# Pass (3): bool_exps_to_if

def sum(lst, acc):
    if not lst:
        return acc
    return sum(lst[1:], acc + lst[0])


# ------------------------------------


# Pass (4): promote_to_temporary_m

def sum(lst, acc):
    if not lst:
        return acc
    __tmp0__ = sum(lst[1:], acc + lst[0])
    return __tmp0__


# ------------------------------------


# Pass (5): remove_trivial_temporaries

def sum(lst, acc):
    if not lst:
        return acc
    return sum(lst[1:], acc + lst[0])


# ------------------------------------


# Pass (6): insert_jumps

def sum(lst, acc):
    if __pc == 0:
        if not lst:
            if __pc == 0:
                return acc
                __pc = 1
        return sum(lst[1:], acc + lst[0])
        __pc = 1


# ------------------------------------


# Pass (7): lift_locals_to_frame

def sum(lst, acc):
    if frame['__pc'] == 0:
        if not frame['lst']:
            if frame['__pc'] == 0:
                return frame['acc']
                frame['__pc'] = 1
        return sum(frame['lst'][1:], frame['acc'] + frame['lst'][0])
        frame['__pc'] = 1


# ------------------------------------


# Pass (8): add_trampoline_returns

def sum(lst, acc):
    if frame['__pc'] == 0:
        if not frame['lst']:
            if frame['__pc'] == 0:
                frame['__pc'] = 1
                return RetOp(value=frame['acc'])
        frame['__pc'] = 1
        return TailCallOp(func='sum', args=[frame['lst'][1:], frame['acc'] + frame['lst'][0]], kwargs={})


# ------------------------------------


# Pass (9): fix_fn_def

def __fiberfn_sum(frame):
    if frame['__pc'] == 0:
        if not frame['lst']:
            if frame['__pc'] == 0:
                frame['__pc'] = 1
                return RetOp(value=frame['acc'])
        frame['__pc'] = 1
        return TailCallOp(func='sum', args=[frame['lst'][1:], frame['acc'] + frame['lst'][0]], kwargs={})


# ------------------------------------




================================================
FILE: examples/tree_recursion.py
================================================
# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

# Pass (0): Start

def all_zeroes(tree):
    if tree == 0:
        return True
    if not isinstance(tree, Tree):
        return False

    return all_zeroes(tree.left) and all_zeroes(tree.right)


# ------------------------------------


# Pass (1): for_to_while

def all_zeroes(tree):
    if tree == 0:
        return True
    if not isinstance(tree, Tree):
        return False

    return all_zeroes(tree.left) and all_zeroes(tree.right)


# ------------------------------------


# Pass (2): promote_while_cond

def all_zeroes(tree):
    if tree == 0:
        return True
    if not isinstance(tree, Tree):
        return False

    return all_zeroes(tree.left) and all_zeroes(tree.right)


# ------------------------------------


# Pass (3): bool_exps_to_if

def all_zeroes(tree):
    if tree == 0:
        return True
    if not isinstance(tree, Tree):
        return False

    __tmp0__ = all_zeroes(tree.left)
    if __tmp0__:
        __tmp0__ = all_zeroes(tree.right)
    return __tmp0__


# ------------------------------------


# Pass (4): promote_to_temporary_m

def all_zeroes(tree):
    if tree == 0:
        return True
    if not isinstance(tree, Tree):
        return False

    __tmp1__ = all_zeroes(tree.left)
    __tmp0__ = __tmp1__
    if __tmp0__:
        __tmp2__ = all_zeroes(tree.right)
        __tmp0__ = __tmp2__
    return __tmp0__


# ------------------------------------


# Pass (5): remove_trivial_temporaries

def all_zeroes(tree):
    if tree == 0:
        return True
    if not isinstance(tree, Tree):
        return False

    __tmp0__ = all_zeroes(tree.left)
    if __tmp0__:
        __tmp0__ = all_zeroes(tree.right)
    return __tmp0__


# ------------------------------------


# Pass (6): insert_jumps

def all_zeroes(tree):
    if __pc == 0:
        if tree == 0:
            if __pc == 0:
                return True
                __pc = 1
        if not isinstance(tree, Tree):
            if __pc == 0:
                return False
                __pc = 1

        __tmp0__ = all_zeroes(tree.left)
        __pc = 1
    if __pc == 1:
        if __tmp0__:
            if __pc == 1:
                __tmp0__ = all_zeroes(tree.right)
                __pc = 2
        __pc = 2
    if __pc == 2:
        return __tmp0__
        __pc = 3


# ------------------------------------


# Pass (7): lift_locals_to_frame

def all_zeroes(tree):
    if frame['__pc'] == 0:
        if frame['tree'] == 0:
            if frame['__pc'] == 0:
                return True
                frame['__pc'] = 1
        if not isinstance(frame['tree'], Tree):
            if frame['__pc'] == 0:
                return False
                frame['__pc'] = 1

        frame['__tmp0__'] = all_zeroes(frame['tree'].left)
        frame['__pc'] = 1
    if frame['__pc'] == 1:
        if frame['__tmp0__']:
            if frame['__pc'] == 1:
                frame['__tmp0__'] = all_zeroes(frame['tree'].right)
                frame['__pc'] = 2
        frame['__pc'] = 2
    if frame['__pc'] == 2:
        return frame['__tmp0__']
        frame['__pc'] = 3


# ------------------------------------


# Pass (8): add_trampoline_returns

def all_zeroes(tree):
    if frame['__pc'] == 0:
        if frame['tree'] == 0:
            if frame['__pc'] == 0:
                frame['__pc'] = 1
                return RetOp(value=True)
        if not isinstance(frame['tree'], Tree):
            if frame['__pc'] == 0:
                frame['__pc'] = 1
                return RetOp(value=False)

        frame['__pc'] = 1
        return CallOp(func='all_zeroes', args=[frame['tree'].left], kwargs={}, ret_variable='__tmp0__')
    if frame['__pc'] == 1:
        if frame['__tmp0__']:
            if frame['__pc'] == 1:
                frame['__pc'] = 2
                return CallOp(func='all_zeroes', args=[frame['tree'].right], kwargs={}, ret_variable='__tmp0__')
        frame['__pc'] = 2
    if frame['__pc'] == 2:
        frame['__pc'] = 3
        return RetOp(value=frame['__tmp0__'])


# ------------------------------------


# Pass (9): fix_fn_def

def __fiberfn_all_zeroes(frame):
    if frame['__pc'] == 0:
        if frame['tree'] == 0:
            if frame['__pc'] == 0:
                frame['__pc'] = 1
                return RetOp(value=True)
        if not isinstance(frame['tree'], Tree):
            if frame['__pc'] == 0:
                frame['__pc'] = 1
                return RetOp(value=False)

        frame['__pc'] = 1
        return CallOp(func='all_zeroes', args=[frame['tree'].left], kwargs={}, ret_variable='__tmp0__')
    if frame['__pc'] == 1:
        if frame['__tmp0__']:
            if frame['__pc'] == 1:
                frame['__pc'] = 2
                return CallOp(func='all_zeroes', args=[frame['tree'].right], kwargs={}, ret_variable='__tmp0__')
        frame['__pc'] = 2
    if frame['__pc'] == 2:
        frame['__pc'] = 3
        return RetOp(value=frame['__tmp0__'])


# ------------------------------------




================================================
FILE: src/expressions.py
================================================
# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import ast
from collections.abc import Container
import utils
import itertools


def promote_call_expressions(expression: ast.AST, fns: Container[str], name_iter, assignments):
    """Given a expression, transforms call expressions to functions in fns by
    promoting them to temporary variables. Appends promoting assignment
    expressions to assignments. Returns the new expression with call expressions
    replaced."""
    def map_attributes(field, expression):
        return promote_call_expressions(expression, fns, name_iter, assignments)

    # Recursively map the expression's attributes (e.g. subexpressions).
    new_expression = utils.map_expression(expression, map_attributes)

    # If the function is a special function, then lift the expression to a
    # temporary. Also, replace the current expression with a reference to that
    # temporary.
    if isinstance(expression, ast.Call) and isinstance(expression.func, ast.Name) and expression.func.id in fns:
        name = next(name_iter)
        assignments.append(utils.make_assign(name, new_expression))
        return utils.make_lookup(name)
    return new_expression


def make_and_if(name: str, expression: ast.AST, body):
    return ast.If(
        test=utils.make_lookup(name),
        body=body,
        orelse=[],
    )


def make_or_if(name: str, expression: ast.AST, body):
    return ast.If(
        test=utils.make_not(utils.make_lookup(name)),
        body=body,
        orelse=[],
    )


def promote_boolean_expression_operands(expression: ast.AST, name_iter, lines):
    """Given a expression, transforms boolean expressions by promoting their
    operands to temporary values assigned to by if expressions.  Returns the
    resulting temporary variable, and appends to lines the corresponding if
    expressions that populate the variable.
    """
    def map_attributes(field, expression):
        # If the expression is a boolop, append if statements to lines.
        if isinstance(expression, ast.BoolOp):
            assert len(expression.values) > 0
            maker = make_or_if if isinstance(
                expression.op, ast.Or) else make_and_if
            name = next(name_iter)
            lines.append(utils.make_assign(name, expression.values[0]))
            for child in itertools.islice(expression.values, 1, None):
                body = []
                body.append(promote_boolean_expression_operands(
                    utils.make_assign(name, child),
                    name_iter,
                    body,
                ))
                lines.append(maker(name, child, body))
            return utils.make_lookup(name)
        return promote_boolean_expression_operands(expression, name_iter, lines)

    # Recursively map the expression's attributes (e.g. subexpressions).
    return utils.map_expression(expression, map_attributes)


FRAME_LOCAL_NAME = "frame"


def promote_variable_access(expression: ast.AST, name_fn):
    def map_attributes(field, expression):
        if isinstance(expression, ast.Name) and (name := name_fn(expression.id)) is not None:
            return ast.Subscript(
                ctx=expression.ctx,
                slice=ast.Constant(value=name),
                value=ast.Name(id=FRAME_LOCAL_NAME, ctx=ast.Load())
            )
        return promote_variable_access(expression, name_fn)
    return utils.map_expression(expression, map_attributes)


================================================
FILE: src/fiber.py
================================================
# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import ast
from collections import ChainMap
from dataclasses import dataclass
import inspect
from typing import Any, Container, Dict, List, Set, Union
import textwrap

import jumps
import mappers
import utils


def get_tree(fn):
    lines = textwrap.dedent(inspect.getsource(fn)).split("\n")
    for i, line in enumerate(lines):
        if line.startswith("def"):
            break
    return ast.parse("\n".join(lines[i:]))


def fn_call_names(stmt: ast.AST, fns: Container[str]):
    for node in ast.walk(stmt):
        if isinstance(node, ast.Call):
            if isinstance(node.func, ast.Name) and node.func.id in fns:
                yield node.func.id


def make_prev_dict(block: ast.AST):
    prev_dict = {}

    def helper(block: ast.AST):
        assert utils.is_block(block)
        for i, stmt in enumerate(block.body):
            if 0 <= i - 1:
                assert stmt not in prev_dict
                prev_dict[stmt] = block.body[i - 1]
        for stmt in block.body:
            if utils.is_block(stmt):
                helper(stmt)
    helper(block)
    return prev_dict


@dataclass
class CallOp:
    func: Any
    args: List[Any]
    kwargs: Dict[Any, Any]
    ret_variable: str


@dataclass
class TailCallOp:
    func: Any
    args: List[Any]
    kwargs: Dict[Any, Any]


@dataclass
class RetOp:
    value: Any


OP_MAP = {
    CallOp.__name__: CallOp,
    TailCallOp.__name__: TailCallOp,
    RetOp.__name__: RetOp,
}


def matches_call(call: Union[ast.expr, None], fns: Container[str]):
    return isinstance(call, ast.Call) \
        and isinstance(call.func, ast.Name) \
        and call.func.id in fns


def matches_callop(stmt: ast.AST, fns: Container[str]):
    return isinstance(stmt, ast.Assign) and \
        len(stmt.targets) == 1 and \
        isinstance(target := stmt.targets[0], ast.Subscript) and \
        isinstance(target.value, ast.Name) and \
        target.value.id == "frame" and \
        matches_call(stmt.value, fns)


def matches_tailcallop(stmt: ast.AST, fns: Container[str]):
    return isinstance(stmt, ast.Return) and matches_call(stmt.value, fns)


def matches_retop(stmt: ast.AST, fns: Container[str]):
    return isinstance(stmt, ast.Return)


def is_pc_assign(stmt: ast.AST):
    return isinstance(stmt, ast.Assign) and \
        len(stmt.targets) == 1 and \
        isinstance(target := stmt.targets[0], ast.Subscript) and \
        isinstance(target.value, ast.Name) and \
        target.value.id == "frame" and \
        isinstance(name := target.slice, ast.Constant) and \
        name.value == jumps.PC_LOCAL_NAME and \
        isinstance(stmt.value, ast.Constant) and \
        isinstance(stmt.value.value, int)


def is_tail_call(stmt: ast.AST):
    return isinstance(stmt, ast.Return) and \
        isinstance(stmt.value, ast.Call)


def make_callop_expr(variable: ast.Constant, call: ast.Call):
    return ast.Return(
        value=ast.Call(
            func=utils.make_lookup(CallOp.__name__),
            args=[],
            keywords=[
                ast.keyword(arg="func", value=ast.Constant(
                    value=call.func.id)),
                ast.keyword(arg="args", value=ast.List(
                    elts=call.args, ctx=ast.Load())),
                ast.keyword(arg="kwargs", value=ast.Dict(
                    keys=[ast.Constant(k.arg) for k in call.keywords], values=[k.value for k in call.keywords])),
                ast.keyword(arg="ret_variable", value=variable),
            ]
        )
    )


def make_tailcallop_expr(call: ast.Call):
    return ast.Return(
        value=ast.Call(
            func=utils.make_lookup(TailCallOp.__name__),
            args=[],
            keywords=[
                ast.keyword(arg="func", value=ast.Constant(
                    value=call.func.id)),
                ast.keyword(arg="args", value=ast.List(
                    elts=call.args, ctx=ast.Load())),
                ast.keyword(arg="kwargs", value=ast.Dict(
                    keys=[ast.Constant(k.arg) for k in call.keywords], values=[k.value for k in call.keywords])),
            ]
        )
    )


def make_retop_expr(value: ast.AST):
    return ast.Return(
        value=ast.Call(
            func=utils.make_lookup(RetOp.__name__),
            args=[],
            keywords=[
                ast.keyword(arg="value", value=value)
            ]
        )
    )


def make_arguments():
    return ast.arguments(
        posonlyargs=[],
        args=[ast.arg(arg="frame")],
        kwonlyargs=[],
        kwarg=None,
        vararg=None,
        defaults=[],
        kw_defaults=[],
    )


def fix_fn_def(fn_tree: ast.FunctionDef, fn):
    fn_tree.name = f"__fiberfn_{fn.__name__}"
    fn_tree.args = make_arguments()


def fiber_locals(fn_tree: ast.FunctionDef):
    local_vars = utils.local_vars(fn_tree)
    local_vars.add(jumps.PC_LOCAL_NAME)
    return local_vars


def insert_jumps(fn_tree: ast.FunctionDef, prev_dict, fns):
    prev_dict = make_prev_dict(fn_tree)
    body, _ = jumps.insert_jumps(
        fn_tree.body, jump_to=lambda stmt: needs_jump(stmt, prev_dict, fns))
    return body


def lift_locals_to_frame(fn_tree: ast.FunctionDef):
    local_vars = fiber_locals(fn_tree)
    return mappers.map_scope(fn_tree, mappers.lift_to_frame_m(
        name_fn=lambda x: x if x in local_vars else None))


def needs_jump(stmt: ast.AST, prev_dict, fns):
    if not stmt in prev_dict:
        return False

    # Check whether the child function is a trampoline.
    fn_calls = list(fn_call_names(prev_dict[stmt], fns))
    if not fn_calls:
        return False
    for name in fn_calls:
        if not (name in FIBER_FN_NAME_MAP or name in fns):
            return False

    return not is_tail_call(prev_dict[stmt])


def compile_tree(tree: ast.AST, fn, local_vars):
    tree = ast.fix_missing_locations(tree)
    code = compile(tree, f"<fiber> {inspect.getfile(fn)}", "exec")
    results = {}
    exec(code, dict([*fn.__globals__.items(), *
         OP_MAP.items(), *local_vars.items()]), results)
    results[tree.body[0].name].__fibercode__ = ast.unparse(tree)
    return results[tree.body[0].name]


# This is hacky...

@dataclass
class FiberMetadata:
    fn_def: ast.FunctionDef
    fn: Any


FIBER_FN_NAME_MAP = {}
FIBER_FN_COMPILED_MAP = {}


def add_trampoline_returns(block: ast.AST, fns: Container[str]):
    """Recursively mutates the block by replacing a function call or a return
    statement with a return to a trampoline. Also moves the PC assignment to
    before the return to the trampoline.

    We assume that all recursive calls have been lifted to temporaries, and
    tail calls are in `return call()` form (trivial temporary eliminated)."""
    assert utils.is_block(block)
    # Make a shallow copy, as we mutate the list as we iterate (by swapping).
    body = block.body
    for index, stmt in enumerate(list(body)):
        if utils.is_block(stmt):
            add_trampoline_returns(stmt, fns)
            continue
        if matches_callop(stmt, fns):
            replaced = make_callop_expr(stmt.targets[0].slice, stmt.value)
        elif matches_tailcallop(stmt, fns):
            replaced = make_tailcallop_expr(stmt.value)
        elif matches_retop(stmt, fns):
            replaced = make_retop_expr(stmt.value)
        else:
            continue
        assert index + 1 < len(body)
        assert is_pc_assign(body[index + 1])
        body[index], body[index + 1] = body[index+1], replaced


def fiber(fns: Container[str] = None, *, locals, recursive=True):
    """Returns a decorator that converts a function to a fiber.

    A fiber is a userspace scheduled thread. In this fiber implementation, we
    yield to the userspace scheduler whenever a listed function is called.

    Using the trampoline scheduler, we can functions that recurse arbitrarily
    deep by simulating the call stack on the heap: Suppose we are executing a
    function A. When A reaches a call to some function B in fns, instead of
    calling the B directly, A will return a call operation to a trampoline. The
    trampoline will call the B with the correct arguments. After B finishes
    executing, the trampoline will resume A, passing B's return value.

    >>> @fiber(locals=locals())
    ... def fib(n):
    ...     if n <= 1: return n
    ...     return fib(n-1) + fib(n-2)
    ...
    >>> import trampoline
    >>> trampoline.run(fib, [10])
    55
    """

    if fns is None:
        fns = set()
    for fiber_fn in FIBER_FN_NAME_MAP:
        fns = set(fns)
        fns.add(fiber_fn)
    if callable(fns):
        raise ValueError("Did you forget to call the fiber decorator?")

    def make_fiber(fn):
        if recursive:
            fns.add(fn.__name__)

        tree = get_tree(fn)
        name_iter, fn_tree = utils.dunder_names(), tree.body[0]
        assert isinstance(fn_tree, ast.FunctionDef)

        transforms = [
            mappers.for_to_while_m(name_iter),
            mappers.promote_while_cond_m(name_iter),
            mappers.bool_exps_to_if_m(name_iter),
            mappers.promote_to_temporary_m(fns, name_iter),
        ]
        for t in transforms:
            fn_tree = mappers.map_scope(fn_tree, t)

        # These mappers need access to the new tree to preprocess variables.
        fn_tree = mappers.map_scope(fn_tree, mappers.remove_trivial_temporaries_m(fn_tree))

        prev_dict = make_prev_dict(fn_tree)
        fn_tree.body = insert_jumps(fn_tree, prev_dict, fns)
        fn_tree = lift_locals_to_frame(fn_tree)
        add_trampoline_returns(fn_tree, fns)
        fix_fn_def(fn_tree, fn)

        tree.body[0] = fn_tree
        fiber_fn = compile_tree(tree, fn, locals)

        lookup = FiberMetadata(get_tree(fn).body[0], fiber_fn)
        FIBER_FN_NAME_MAP[fn.__name__] = lookup
        FIBER_FN_COMPILED_MAP[fiber_fn] = lookup
        return fiber_fn

    return make_fiber


================================================
FILE: src/fiber_test.py
================================================
# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import unittest

import fiber


class TestFiber(unittest.TestCase):

    def test_fib(self):
        @fiber.fiber(locals=locals())
        def fib(n):
            if n == 0:
                return 0
            if n == 1:
                return 1
            return fib(n-1) + fib(n=n-2)
        self.maxDiff = None

        want = """
def __fiberfn_fib(frame):
    if frame['__pc'] == 0:
        if frame['n'] == 0:
            if frame['__pc'] == 0:
                frame['__pc'] = 1
                return RetOp(value=0)
        if frame['n'] == 1:
            if frame['__pc'] == 0:
                frame['__pc'] = 1
                return RetOp(value=1)
        frame['__pc'] = 1
        return CallOp(func='fib', args=[frame['n'] - 1], kwargs={}, ret_variable='__tmp0__')
    if frame['__pc'] == 1:
        frame['__pc'] = 2
        return CallOp(func='fib', args=[], kwargs={'n': frame['n'] - 2}, ret_variable='__tmp1__')
    if frame['__pc'] == 2:
        frame['__pc'] = 3
        return RetOp(value=frame['__tmp0__'] + frame['__tmp1__'])
        """.strip()
        self.assertEqual(want, fib.__fibercode__)

    def test_sum(self):
        @fiber.fiber(locals=locals())
        def sum(lst, acc):
            if not lst:
                return acc
            return sum(lst[1:], acc + lst[0])

        want = """
def __fiberfn_sum(frame):
    if frame['__pc'] == 0:
        if not frame['lst']:
            if frame['__pc'] == 0:
                frame['__pc'] = 1
                return RetOp(value=frame['acc'])
        frame['__pc'] = 1
        return TailCallOp(func='sum', args=[frame['lst'][1:], frame['acc'] + frame['lst'][0]], kwargs={})
        """.strip()
        self.assertEqual(want, sum.__fibercode__)


if __name__ == '__main__':
    unittest.main()


================================================
FILE: src/jumps.py
================================================
# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import ast
from typing import List, Callable, Iterable
import utils

PC_LOCAL_NAME = "__pc"


def is_supported_jump_block(b: ast.AST):
    return any(isinstance(b, t) for t in (ast.While, ast.If))


def block_has_jump_to(block, jump_to: Callable[[ast.AST], bool]):
    return any(has_jump_to(stmt, jump_to) for stmt in block.body)


def has_jump_to(stmt: ast.AST, jump_to: Callable[[ast.AST], bool]):
    return jump_to(stmt) or (is_supported_jump_block(stmt) and block_has_jump_to(stmt, jump_to))


def partition_stmts(stmts: Iterable[ast.AST], jump_to: Callable[[ast.AST], bool]):
    """Splits statements into partitions with jump_to statements as dividers.
    The first statement in each partition is one that needs to be jumped to."""
    current = []
    for stmt in stmts:
        if has_jump_to(stmt, jump_to):
            yield current
            current = []
        current.append(stmt)
    yield current


def transform_if(stmt: ast.If, jump_to: Callable[[ast.AST], bool], next_pc):
    body, next_pc = insert_jumps(
        stmt.body, jump_to, next_pc)
    return ast.If(test=stmt.test, body=body, orelse=stmt.orelse), next_pc


def transform_while(stmt: ast.While, jump_to: Callable[[ast.AST], bool], next_pc):
    first_pc = next_pc
    body, next_pc = insert_jumps(stmt.body, jump_to, next_pc)
    # While loops jump back to the start of the loop.
    body.append(utils.make_assign(PC_LOCAL_NAME, ast.Constant(first_pc)))
    return ast.While(test=stmt.test, body=body, orelse=stmt.orelse), next_pc


def make_range_test(start_pc, end_pc):
    """Creates an boolean expression AST that checks whether the pc variable is
    in range(start, end)."""
    if start_pc + 1 == end_pc:
        return ast.Compare(
            left=utils.make_lookup(PC_LOCAL_NAME),
            ops=[ast.Eq()],
            comparators=[ast.Constant(value=start_pc)]
        )
    return ast.Compare(
        left=ast.Constant(value=start_pc),
        ops=[ast.LtE(), ast.Lt()],
        comparators=[utils.make_lookup(
            PC_LOCAL_NAME), ast.Constant(value=end_pc)],
    )


def transform_partition(partition, jump_to, next_pc):
    """Recursively transforms the partition, and wraps it in the appropriate if
    statement. Returns the new AST as well as the next pc value."""
    body = []
    start_pc = next_pc
    next_pc += 1  # Need at least one PC for this partition.
    for stmt in partition:
        transformed = stmt
        if isinstance(stmt, ast.If):
            # For blocks, the first inner PC is the same PC as the outer PC.
            transformed, next_pc = transform_if(stmt, jump_to, next_pc-1)
        elif isinstance(stmt, ast.While):
            transformed, next_pc = transform_while(stmt, jump_to, next_pc-1)
        body.append(transformed)
    end_pc = next_pc
    body.append(utils.make_assign(PC_LOCAL_NAME, ast.Constant(end_pc)))

    return ast.If(test=make_range_test(start_pc, end_pc), body=body, orelse=[]), next_pc


def insert_jumps(stmts: Iterable[ast.AST], jump_to: Callable[[ast.AST], bool], start_pc=0):
    """Inserts ifs into a sequence of statements such that each statement for
    which jump_to returns True has a pc value where entering the sequence with
    that value jumps to that statement.

    Only recursively inserts jumps inside child if and for blocks. If your
    block has for loops, then use for_to_while_m to rewrite them to while.

    Returns a new list of statements and the total number of jumps inserted.
    """
    new_stmts = []
    next_pc = start_pc
    for partition in partition_stmts(stmts, jump_to):
        if not partition:
            continue
        transformed, next_pc = transform_partition(partition, jump_to, next_pc)
        new_stmts.append(transformed)
    return new_stmts, next_pc


================================================
FILE: src/jumps_test.py
================================================
# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import ast
import unittest

import jumps


class TestInsertJumps(unittest.TestCase):

    def test_complex(self):
        source = """
def bar(hello, world):
    for i in range(10):
        print(hello)
    a = hello + world
    while b < a:
        print()
        b = a * a
        a = a + b
    if True:
        d = a + b
        d = d * 2
    d = d + 1
    d = d + 2
    return d
        """.strip()

        want = """
def bar(hello, world):
    if __pc == 0:
        for i in range(10):
            print(hello)
        __pc = 1
    if __pc == 1:
        a = hello + world
        __pc = 2
    if 2 <= __pc < 5:
        while b < a:
            if __pc == 2:
                print()
                __pc = 3
            if __pc == 3:
                b = a * a
                __pc = 4
            if __pc == 4:
                a = a + b
                __pc = 5
            __pc = 2
        __pc = 5
    if 5 <= __pc < 7:
        if True:
            if __pc == 5:
                d = a + b
                __pc = 6
            if __pc == 6:
                d = d * 2
                __pc = 7
        __pc = 7
    if __pc == 7:
        d = d + 1
        __pc = 8
    if __pc == 8:
        d = d + 2
        return d
        __pc = 9
        """.strip()

        tree = ast.parse(source)
        fn_tree = tree.body[0]
        assert isinstance(fn_tree, ast.FunctionDef)
        fn_tree.body, _ = jumps.insert_jumps(
            fn_tree.body, lambda stmt: isinstance(stmt, ast.Assign))
        tree = ast.fix_missing_locations(tree)
        result = ast.unparse(tree)
        self.assertEqual(result, want)

    def test_equivalent(self):
        source = """
def fib(__pc, n):
    curr = 0
    next = 1
    for i in range(n):
        tmp = curr
        curr = next
        next = tmp + next
    return curr
"""

        tree = ast.parse(source)
        fn_tree = tree.body[0]
        assert isinstance(fn_tree, ast.FunctionDef)
        fn_tree.body, _ = jumps.insert_jumps(
            fn_tree.body, lambda stmt: isinstance(stmt, ast.Assign))
        fn_tree.name = "fib_transformed"

        tree = ast.fix_missing_locations(tree)
        code = compile(tree, "<string>", "exec")
        results = {}
        exec(code, globals(), results)
        exec(source, globals(), results)
        fib, fib_transformed = results["fib"], results["fib_transformed"]
        for i in range(100):
            self.assertEqual(fib(0, i), fib_transformed(0, i))


if __name__ == '__main__':
    unittest.main()


================================================
FILE: src/manual.py
================================================
# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from dataclasses import dataclass
from typing import Any


def editDistance(first, second):
    """Computes the edit distance between two strings.

    >>> editDistance("kitten", "sitting")
    3
    """

    return editDistanceImpl(first, second, 0, 0)


def editDistanceImpl(first, second, f, s):
    if f == len(first):
        return len(second) - s
    if s == len(second):
        return len(first) - f

    if first[f] == second[s]:
        return editDistanceImpl(first, second, f+1, s+1)

    deleteFirst = editDistanceImpl(first, second, f+1, s) + 1
    deleteSecond = editDistanceImpl(first, second, f, s+1) + 1
    replace = editDistanceImpl(first, second, f+1, s+1) + 1
    return min(deleteFirst, deleteSecond, replace)


@dataclass
class Frame:
    __pc: int
    locals: Any
    child: Any


@dataclass
class CallOp:
    fn: Any
    arguments: Any


@dataclass
class TailCallOp:
    callop: CallOp


@dataclass
class RetOp:
    pass


def engine(fn, args):
    stack = []  # make frame fn, args
    while True:
        # op = run last function on stack
        # if op == tailcall
        # pop the last frame in stack
        # if op == call or tailcall
        # bind arguments to corresponding frame locals
        # push new frame onto stack
        # if op == ret
        # pop last frame in stack
        # if no parent frame, return value
        # assign new top's child frame pointer to popped frame
        # next function will read the return value through the pointer

        # ABI: returns put return value into the current frame
        # We don't support nested functions.


def editDistanceIterImpl(frame):
    if frame.__pc == 0:
        if frame.f == len(frame.first):
            return len(frame.second) - frame.s
        if frame.s == len(frame.second):
            return len(frame.first) - frame.s

    if 0 <= frame.__pc <= 1:
        if frame.first[frame.f] == frame.second[frame.s]:
            if frame.__pc == 0:
                frame.__pc = 1
                # callop editDistanceImpl(frame.first, frame.second, frame.f+1, frame.s+1)
            # jmp (1)
            return frame.child.ret
        frame.__pc = 2

    if frame.__pc == 2:
        frame.__pc = 3
        # callop editDistanceImpl(frame.first, frame.second, frame.f+1, frame.s)
        frame.deleteFirst = frame.child.ret + 1
    # jmp
    if frame.__pc == 3:
        frame.__pc = 4
        # callop editDistanceImpl(frame.first, frame.second, frame.f, frame.s+1)
        frame.deleteSecond = frame.child.ret + 1
    # jmp
    if frame.__pc == 4:
        frame.__pc = 5
        # callop editDistanceImpl(frame.first, frame.second, frame.f+1, frame.s+1)
        frame.replace = frame.child.ret + 1
    # jmp
    if frame.__pc == 5:
        return min(frame.deleteFirst, frame.deleteSecond, frame.replace)

# transforms
# mark recursive calls
# promote nested recursive call results to temporaries
# change locals to accesses in heap frame
# add jump points after recursive calls
# write recursive calls as returning (tail)?call ops
# write returns as returning return ops
# write jumps as if statements & pc counter


================================================
FILE: src/mappers.py
================================================
# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import ast
from collections.abc import Container

import expressions
import utils


def map_scope(scope, fn):
    """Applies the mapping function to every statement in the scope.

    The mapping function should return a list of statements; the returned
    statements will be flattened together."""
    kwargs = {field: value for field, value in ast.iter_fields(scope)}
    body = []
    for stmt in scope.body:
        body.extend(fn(stmt))
        # TODO(tylerhou): Should we map all scopes?
        if utils.is_supported_scope(stmt):
            body[-1] = map_scope(body[-1], fn)
    kwargs["body"] = body
    return type(scope)(**kwargs)


def promote_to_temporary_m(fns: Container[str], name_iter):
    """Creates a function mapper that promotes the results of inner calls to
    functions in fns to temporary variables."""
    def promote_mapper(stmt):
        stmts = []
        stmts.append(expressions.promote_call_expressions(
            stmt, fns, name_iter, stmts))  # Mutates stmts
        return stmts
    return promote_mapper


def remove_trivial_temporaries_m(fn_ast: ast.AST):
    """Creates a function mapper that removes trivial assignments."""
    trivial_temps = set(utils.potentially_trivial_temporaries(fn_ast))
    first_assignment, last_assignment = utils.find_assignments(fn_ast, trivial_temps)
    trivial_temps = set(t for t in trivial_temps if last_assignment[t] is first_assignment[t])
    trivial_assignments = set(last_assignment[t] for t in trivial_temps)
    to_replace = {temp: last_assignment[temp] for temp in trivial_temps if temp in trivial_temps}


    def remove_trivial_mapper(stmt):
        return [] if stmt in trivial_assignments else [utils.replace_variable(stmt, to_replace)]
    return remove_trivial_mapper


def for_to_while_m(name_iter):
    """Creates a function mapper that converts for loops to equivalent while loops."""
    def mapper(stmt):
        if not isinstance(stmt, ast.For):
            return [stmt]
        iter_n, test_n = next(name_iter), next(name_iter)
        body = [utils.make_for_try(stmt.target, iter_n, test_n)] + stmt.body
        return [
            utils.make_assign(iter_n, utils.make_call("iter", stmt.iter)),
            utils.make_assign(test_n, ast.Constant(value=True)),
            ast.While(test=utils.make_lookup(test_n),
                      body=body, orelse=stmt.orelse),
        ]
    return mapper


def promote_while_cond_m(name_iter):
    """Creates a function mapper that promotes the test in while loops to a variable."""
    def mapper(stmt):
        if not isinstance(stmt, ast.While):
            return [stmt]
        if isinstance(stmt.test, ast.Name):
            return [stmt]
            # TODO(tylerhou): Add a test for this.
        condition_n = next(name_iter)
        test_assign = utils.make_assign(condition_n, stmt.test)
        body = stmt.body + [test_assign]
        return [test_assign, ast.While(test=utils.make_lookup(condition_n), body=body, orelse=stmt.orelse)]
    return mapper


def bool_exps_to_if_m(name_iter):
    """Creates a function mapper that rewrites boolean expressions as if
    statements so promotion to temporaries doesn't change evaluation order."""
    def mapper(stmt):
        stmts = []
        stmts.append(expressions.promote_boolean_expression_operands(
            stmt, name_iter, stmts))  # Mutates stmts
        return stmts
    return mapper


def lift_to_frame_m(name_fn=lambda x: x):
    """Creates a function mapper that replaces all accesses where name_fn
    returns not None to loads and stores in a frame object."""
    def mapper(stmt):
        return [expressions.promote_variable_access(stmt, name_fn)]
    return mapper


================================================
FILE: src/mappers_test.py
================================================
# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import ast
import unittest
import mappers
import utils


def map_function(source, mapper):
    tree = ast.parse(source).body[0]
    tree = mappers.map_scope(tree, mapper)
    tree = ast.fix_missing_locations(tree)
    return ast.unparse(tree)


class TestMappers(unittest.TestCase):

    def test_promote_to_temporary_m(self):
        source = """
def foo():
    t = bar(2)
    if t == 1:
        return bar(bar(bar(1), 3), 5) + bar(baz(t), 4)
    if t == bar(10):
        return bar(baz(t), 2)
        """.strip()

        want = """
def foo():
    __tmp0__ = bar(2)
    t = __tmp0__
    if t == 1:
        __tmp1__ = bar(1)
        __tmp2__ = bar(__tmp1__, 3)
        __tmp3__ = bar(__tmp2__, 5)
        __tmp4__ = bar(baz(t), 4)
        return __tmp3__ + __tmp4__
    __tmp5__ = bar(10)
    if t == __tmp5__:
        __tmp6__ = bar(baz(t), 2)
        return __tmp6__
        """.strip()

        mapper = mappers.promote_to_temporary_m(["bar"], utils.dunder_names())
        result = map_function(source, mapper)
        self.assertEqual(result, want)

    def test_remove_trivial_temporaries_m(self):
        source = """
def foo():
    __tmp0__ = bar(2)
    t = __tmp0__
    if t == 1:
        __tmp1__ = bar(1)
        __tmp2__ = bar(__tmp1__, 3)
        __tmp3__ = bar(__tmp2__, 5)
        __tmp4__ = bar(baz(t), 4)
        return __tmp3__ + __tmp4__
    __tmp5__ = bar(10)
    if t == __tmp5__:
        __tmp6__ = bar(baz(t), 2)
        return __tmp6__
        """.strip()

        want = """
def foo():
    t = bar(2)
    if t == 1:
        __tmp1__ = bar(1)
        __tmp2__ = bar(__tmp1__, 3)
        __tmp3__ = bar(__tmp2__, 5)
        __tmp4__ = bar(baz(t), 4)
        return __tmp3__ + __tmp4__
    __tmp5__ = bar(10)
    if t == __tmp5__:
        return bar(baz(t), 2)
        """.strip()

        tree = ast.parse(source).body[0]
        # Remove trivial needs to preprocess the tree to find trivial variables.
        mapper = mappers.remove_trivial_temporaries_m(tree)
        tree = mappers.map_scope(tree, mapper)
        tree = ast.fix_missing_locations(tree)
        result = ast.unparse(tree)
        self.assertEqual(result, want)

    def test_remove_trivial_temporaries_m_tail_call(self):
        source = """
def sum(lst, acc):
    if not lst:
        return acc
    __tmp0__ = sum(lst[1:], acc + lst[0])
    return __tmp0__
        """.strip()

        want = """
def sum(lst, acc):
    if not lst:
        return acc
    return sum(lst[1:], acc + lst[0])
        """.strip()
        tree = ast.parse(source).body[0]
        mapper = mappers.remove_trivial_temporaries_m(tree)
        tree = mappers.map_scope(tree, mapper)
        tree = ast.fix_missing_locations(tree)
        result = ast.unparse(tree)
        self.assertEqual(result, want)

    def test_for_to_while_m(self):
        source = """
def bar():
    pre = 1
    for i in range(10):
        print(pre, i)
        if i == 5:
            break
    else:
        print('else')
    post = 1
    return pre + post
        """.strip()

        want = """
def bar():
    pre = 1
    __tmp0__ = iter(range(10))
    __tmp1__ = True
    while __tmp1__:
        try:
            i = next(__tmp0__)
        except StopIteration:
            __tmp1__ = False
            continue
        print(pre, i)
        if i == 5:
            break
    else:
        print('else')
    post = 1
    return pre + post
        """.strip()

        mapper = mappers.for_to_while_m(utils.dunder_names())
        result = map_function(source, mapper)
        self.assertEqual(result, want)

    def test_promote_while_cond_m(self):
        source = """
def bar():
    p = [1, 2, 3]
    while len(p) > 0:
        t = p.pop()
    else:
        print('else')
    post = 1
    return t + post
        """.strip()

        want = """
def bar():
    p = [1, 2, 3]
    __tmp0__ = len(p) > 0
    while __tmp0__:
        t = p.pop()
        __tmp0__ = len(p) > 0
    else:
        print('else')
    post = 1
    return t + post
        """.strip()

        mapper = mappers.promote_while_cond_m(utils.dunder_names())
        result = map_function(source, mapper)
        self.assertEqual(result, want)

    def test_bool_exps_to_if_m(self):
        source = """
def bar():
    a = first() and (second() or third()) and fourth()
    b = 1 + (foo() or baz())
    return a or b
        """.strip()

        want = """
def bar():
    __tmp0__ = first()
    if __tmp0__:
        __tmp1__ = second()
        if not __tmp1__:
            __tmp1__ = third()
        __tmp0__ = __tmp1__
    if __tmp0__:
        __tmp0__ = fourth()
    a = __tmp0__
    __tmp2__ = foo()
    if not __tmp2__:
        __tmp2__ = baz()
    b = 1 + __tmp2__
    __tmp3__ = a
    if not __tmp3__:
        __tmp3__ = b
    return __tmp3__
        """.strip()

        mapper = mappers.bool_exps_to_if_m(utils.dunder_names())
        result = map_function(source, mapper)
        self.assertEqual(result, want)

    def test_lift_to_frame_m(self):
        source = """
def bar(arg1, arg2):
    a = arg1 + arg2
    if a == 2:
        return arg1 + arg2
    b = a + (foo() or baz())
    return a + b
        """.strip()

        want = """
def bar(arg1, arg2):
    frame['a'] = frame['arg1'] + frame['arg2']
    if frame['a'] == 2:
        return frame['arg1'] + frame['arg2']
    frame['b'] = frame['a'] + (foo() or baz())
    return frame['a'] + frame['b']
        """.strip()
        mapper = mappers.lift_to_frame_m(
            lambda x: x if x in ("a", "b", "arg1", "arg2") else None)
        result = map_function(source, mapper)
        self.assertEqual(result, want)


if __name__ == '__main__':
    unittest.main()


================================================
FILE: src/trampoline.py
================================================
# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import ast
from dataclasses import dataclass
from typing import Any, Dict, List, Union
import itertools

import fiber
import jumps


@dataclass
class StackFrame:
    frame: Dict[str, Any]
    fn: Any
    ret_variable: Union[str, None]


def pos_with_defaults(args: ast.arguments):
    num_non_defaults = len(args.posonlyargs) + \
        len(args.args) - len(args.defaults)
    args_iter = itertools.chain(iter(args.posonlyargs), iter(args.args))
    for _ in range(num_non_defaults):
        yield next(args_iter), None
    for default in args.defaults:
        yield next(args_iter), default


def bind_frame(positional_args, keyword_args, fn_tree: ast.FunctionDef):
    frame = {}
    # Reverse the list of args because we pop args from the front of the
    # original list, which is the back of the reversed list.
    positional_args, fn_args = list(reversed(positional_args)), fn_tree.args
    for needed_arg, default in pos_with_defaults(fn_args):
        name: str = needed_arg.arg
        if positional_args:  # If we can still take args
            frame[name] = positional_args.pop()
            continue

        if name in keyword_args:
            if needed_arg in fn_tree.args.posonlyargs:
                raise TypeError(
                    f"{fn_tree.name}: got positional only argument {name} as a keyword")
            frame[name] = keyword_args[name]
            del keyword_args[name]
            continue

        elif not default:
            raise TypeError(f"{fn_tree.name} had too few positional arguments")
        frame[name] = default

    if fn_args.vararg:
        # Unreverse the list as from the beginning.
        frame[fn_args.vararg.arg] = list(reversed(positional_args))

    keyword_arg_names = set(k.arg for k in itertools.chain(
        fn_args.args, fn_args.kwonlyargs))
    for kwarg in keyword_args:
        if kwarg not in keyword_arg_names:
            raise TypeError(
                f"{fn_tree.name} got invalid keyword argument '{kwarg}'")
        if kwarg in frame:
            raise TypeError(
                f"{fn_tree.name} got multiple values for argument '{kwarg}'")
        frame[kwarg] = keyword_args[kwarg]

    for kwarg, default in zip(fn_args.kwonlyargs, fn_args.kw_defaults):
        if default is None and kwarg.arg not in frame:
            raise TypeError(
                f"{fn_tree.name} missing required keyword only argument '{kwarg.arg}'")
        if default is not None and kwarg.arg not in frame:
            frame[kwarg.arg] = ast.literal_eval(default)

    frame[jumps.PC_LOCAL_NAME] = 0
    return frame


def run(fn, args=None, kwargs=None, *, __max_stack_size=float('inf')):
    if args is None:
        args = []
    if kwargs is None:
        kwargs = {}

    frame = bind_frame(args, kwargs, fiber.FIBER_FN_COMPILED_MAP[fn].fn_def)
    stack: List[StackFrame] = [StackFrame(frame, fn, None)]
    while True:
        assert len(stack) <= __max_stack_size
        top = stack[-1]
        op = top.fn(top.frame)
        if isinstance(op, fiber.CallOp):
            metadata = fiber.FIBER_FN_NAME_MAP[op.func]
            top.ret_variable = op.ret_variable
            frame = bind_frame(op.args, op.kwargs, metadata.fn_def)
            stack.append(StackFrame(frame, metadata.fn, None))
        elif isinstance(op, fiber.TailCallOp):
            stack.pop()  # Tail call, so we can discard the frame.
            metadata = fiber.FIBER_FN_NAME_MAP[op.func]
            frame = bind_frame(op.args, op.kwargs, metadata.fn_def)
            stack.append(StackFrame(frame, metadata.fn, None))
        elif isinstance(op, fiber.RetOp):
            stack.pop()
            if not stack:
                return op.value
            top = stack[-1]
            assert top.ret_variable is not None
            top.frame[top.ret_variable] = op.value


================================================
FILE: src/trampoline_test.py
================================================
# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import sys
import unittest

import fiber
import trampoline


class TestTrampoline(unittest.TestCase):

    def test_fib(self):
        cache = {}

        @fiber.fiber(locals=locals())
        def fib(n):
            if n in cache:
                return cache[n]
            if n == 0:
                return 0
            if n == 1:
                return 1
            cache[n] = fib(n-1) + fib(n=n-2)
            return cache[n]
        self.assertEqual(55, trampoline.run(fib, [10], {}))
        self.assertLess(0, trampoline.run(fib, [1002], {}))

    def test_sum(self):
        @fiber.fiber(locals=locals())
        def sum(lst, acc):
            if not lst:
                return acc
            return sum(lst[1:], acc + lst[0])
        n = sys.getrecursionlimit() + 1
        want = n * (n + 1) / 2
        got = trampoline.run(sum, [list(range(1, n+1)), 0], __max_stack_size=1)
        self.assertEqual(want, got)

    def test_sum_recursion_exceeded(self):
        def sum(lst, acc):
            if not lst:
                return acc
            return sum(lst[1:], acc + lst[0])
        n = sys.getrecursionlimit() + 1
        self.assertRaises(RecursionError, sum, list(range(1, n+1)), 0)

    def test_sum_non_tailcall(self):
        @fiber.fiber(locals=locals())
        def sum(lst, acc):
            if not lst:
                return acc
            return sum(lst[1:], acc + lst[0]) + 1
        n = sys.getrecursionlimit() + 1
        want = n * (n + 1) / 2 + n
        got = trampoline.run(sum, [list(range(1, n+1)), 0])
        self.assertEqual(want, got)

    def test_mutual_recursion(self):
        @fiber.fiber(["b"], locals=locals())
        def a(n):
            if n == 0:
                return 1
            return b(n-1) * 2

        @fiber.fiber(locals=locals())
        def b(n):
            if n == 0:
                return 1
            return a(n-1) * 3
        got = trampoline.run(a, [10])
        self.assertEqual(2**5 * 3**5, got)

    def test_edit_distance(self):
        def edit_distance(first, second):
            @fiber.fiber(locals=locals())
            def edit_distance__helper(f, s):
                if f == len(first):
                    return len(second) - s
                if s == len(second):
                    return len(first) - f

                if first[f] == second[s]:
                    return edit_distance__helper(f+1, s+1)

                del_f = edit_distance__helper(f+1, s) + 1
                replace = edit_distance__helper(f+1, s+1) + 1
                del_s = edit_distance__helper(f, s+1) + 1

                return min(del_f, replace, del_s)

            return trampoline.run(edit_distance__helper, [0, 0])
        self.assertEqual(3, edit_distance("kitten", "sitting"))

    def test_pop_balloons(self):
        def pop_balloons(balloons):
            balloons = [1] + balloons + [1]

            @fiber.fiber(locals=locals())
            def pop_balloons__helper(i, j):
                if i == j:
                    return 0
                max_profit = float('-inf')
                for k in range(i, j):
                    profit = pop_balloons__helper(i, k)
                    profit += pop_balloons__helper(k+1, j)
                    profit += balloons[i-1] * balloons[k] * balloons[j]
                    max_profit = max(max_profit, profit)
                return max_profit

            return trampoline.run(pop_balloons__helper, [1, len(balloons) - 1])
        self.assertEqual(175, pop_balloons([4, 5, 7]))

    def test_tree_recursion(self):
        from collections import namedtuple
        Tree = namedtuple("Tree", ["left", "right"])

        @fiber.fiber(locals=locals())
        def all_zeroes(tree):
            if tree == 0:
                return True
            if not isinstance(tree, Tree):
                return False
            return all_zeroes(tree.left) and all_zeroes(tree.right)

        zeroes = Tree(Tree(0, 0), Tree(Tree(Tree(0, 0), 0), Tree(0, 0)))
        one = Tree(Tree(0, 0), Tree(Tree(Tree(1, 0), 0), Tree(0, 0)))
        self.assertTrue(trampoline.run(all_zeroes, [zeroes]))
        self.assertFalse(trampoline.run(all_zeroes, [one]))


if __name__ == '__main__':
    unittest.main()


================================================
FILE: src/utils.py
================================================
# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import ast
import itertools
import re

# We don't support exceptions (ast.Try) or async for/while.
# Exception support is fairly easy to add; async is harder.
FN_INNER_SCOPE_NODES = [ast.For, ast.While, ast.If, ast.While]


def dunder_names():
    for i in itertools.count():
        yield f"__tmp{i}__"


dunder_regex = re.compile(r'__tmp\d+__')


def is_temporary(name):
    return re.match(dunder_regex, name) != None


def is_supported_scope(tree):
    return any(isinstance(tree, scope_type) for scope_type in FN_INNER_SCOPE_NODES)


def map_expression(statement: ast.AST, fn):
    """Recursively transforms an expression by applying the mapping function to
    all attributes that are AST nodes.

    Does not recursively transform scope bodies (while, for, try) as one would
    usually call this function from a mapper in map_scope, which itself already
    iterates through scope bodies."""
    kwargs = {}
    for field, value in ast.iter_fields(statement):
        result = value
        if is_supported_scope(statement) and field == "body":
            result = value
        elif isinstance(value, list):
            result = [fn(field, v)
                      for v in value if isinstance(v, ast.AST)]
        elif isinstance(value, ast.AST):
            result = fn(field, value)
        kwargs[field] = result
    return type(statement)(**kwargs)


def iter_scope(scope):
    """Iterates through every statement in the scope, recursively."""
    for stmt in scope.body:
        yield stmt
        if is_supported_scope(stmt):
            yield from iter_scope(stmt)


def potentially_trivial_temporaries(fn):
    """Yields potentially trivial temporaries.

    Temporaries are trivial if they are directly assigned to another variable
    or if they are returned; e.g.
        t = __tmp1__
        return __tmp2__

    If they are assigned to multiple times, then they are not trivial.
    """
    for statement in iter_scope(fn):
        if isinstance(statement, ast.Return) and \
                isinstance(statement.value, ast.Name) and \
                is_temporary(statement.value.id):
            yield statement.value.id

        if (isinstance(statement, ast.Assign) or
                isinstance(statement, ast.AnnAssign)) and \
                isinstance(statement.value, ast.Name) and \
                is_temporary(statement.value.id):
            yield statement.value.id


def find_assignments(fn, variables):
    """Finds the first and last assignment for each variable."""
    first_assignment, last_assignment = {}, {}
    for statement in iter_scope(fn):
        if isinstance(statement, ast.Assign) and \
                len(statement.targets) == 1 and \
                isinstance(statement.targets[0], ast.Name) and \
                (var := statement.targets[0].id) in variables:
            if var not in first_assignment:
                first_assignment[var] = statement
            last_assignment[var] = statement
    return first_assignment, last_assignment


def replace_variable(statement, assignments):
    def mapper(field, expression):
        if field == "value":
            return assignments[expression.id].value
        return expression

    if isinstance(statement, ast.Return) and \
            isinstance(statement.value, ast.Name) and \
            statement.value.id in assignments:
        return map_expression(statement, mapper)

    if (isinstance(statement, ast.Assign) or
        isinstance(statement, ast.AnnAssign)) and \
        isinstance(statement.value, ast.Name) and \
            statement.value.id in assignments:
        return map_expression(statement, mapper)
    return statement


def make_assign(target, value):
    return ast.Assign(targets=[ast.Name(id=target, ctx=ast.Store())], value=value)


def make_call(func: str, *args):
    return ast.Call(func=ast.Name(id=func, ctx=ast.Load()), args=list(args), keywords=[])


def make_lookup(name: str):
    return ast.Name(id=name, ctx=ast.Load())


def make_not(exp: ast.AST):
    return ast.UnaryOp(op=ast.Not(), operand=exp)


def make_for_try(loop_target, iter_n, test_n):
    return ast.Try(
        body=[ast.Assign(targets=[loop_target], value=make_call(
            "next", make_lookup(iter_n)))],
        handlers=[
            ast.ExceptHandler(type=make_lookup("StopIteration"),
                              body=[
                                  make_assign(
                                      test_n, ast.Constant(value=False)),
                                  ast.Continue()
            ])],
        orelse=[],
        finalbody=[])


def is_block(block: ast.AST):
    return hasattr(block, "body") and isinstance(block.body, list)


def _locals_impl(fn: ast.AST):
    assert isinstance(fn, ast.FunctionDef)
    args = fn.args
    for arg in itertools.chain(args.posonlyargs, args.args, args.kwonlyargs, (args.vararg, args.kwarg)):
        if arg is not None:
            yield arg.arg

    def helper(block: ast.AST):
        for node in block.body:
            if isinstance(node, ast.Assign):
                for target in node.targets:
                    if isinstance(target, ast.Name):
                        yield target.id
            if isinstance(node, ast.AnnAssign) or \
                    isinstance(node, ast.AugAssign) or \
                    isinstance(node, ast.NamedExpr):
                if isinstance(node.target, ast.Name):
                    yield node.target.id
            if is_block(node) and not isinstance(node, ast.FunctionDef):
                yield from helper(node)
    yield from helper(fn)


def local_vars(fn: ast.AST):
    """Returns a set of all function local variables."""
    return set(_locals_impl(fn))
Download .txt
gitextract_hzh6qio3/

├── CONTRIBUTING.md
├── LICENSE
├── README.md
├── examples/
│   ├── edit_distance.py
│   ├── fib.py
│   ├── matrix_chain_mult.py
│   ├── sum.py
│   └── tree_recursion.py
└── src/
    ├── expressions.py
    ├── fiber.py
    ├── fiber_test.py
    ├── jumps.py
    ├── jumps_test.py
    ├── manual.py
    ├── mappers.py
    ├── mappers_test.py
    ├── trampoline.py
    ├── trampoline_test.py
    └── utils.py
Download .txt
SYMBOL INDEX (148 symbols across 16 files)

FILE: examples/edit_distance.py
  function edit_distance__helper (line 17) | def edit_distance__helper(f, s):
  function edit_distance__helper (line 38) | def edit_distance__helper(f, s):
  function edit_distance__helper (line 59) | def edit_distance__helper(f, s):
  function edit_distance__helper (line 80) | def edit_distance__helper(f, s):
  function edit_distance__helper (line 101) | def edit_distance__helper(f, s):
  function edit_distance__helper (line 126) | def edit_distance__helper(f, s):
  function edit_distance__helper (line 150) | def edit_distance__helper(f, s):
  function edit_distance__helper (line 190) | def edit_distance__helper(f, s):
  function edit_distance__helper (line 230) | def edit_distance__helper(f, s):
  function __fiberfn_edit_distance__helper (line 270) | def __fiberfn_edit_distance__helper(frame):

FILE: examples/fib.py
  function fib (line 17) | def fib(n):
  function fib (line 35) | def fib(n):
  function fib (line 53) | def fib(n):
  function fib (line 71) | def fib(n):
  function fib (line 89) | def fib(n):
  function fib (line 110) | def fib(n):
  function fib (line 131) | def fib(n):
  function fib (line 164) | def fib(n):
  function fib (line 197) | def fib(n):
  function __fiberfn_fib (line 230) | def __fiberfn_fib(frame):

FILE: examples/matrix_chain_mult.py
  function matrix_chain_mult__helper (line 17) | def matrix_chain_mult__helper(i, j):
  function matrix_chain_mult__helper (line 36) | def matrix_chain_mult__helper(i, j):
  function matrix_chain_mult__helper (line 62) | def matrix_chain_mult__helper(i, j):
  function matrix_chain_mult__helper (line 88) | def matrix_chain_mult__helper(i, j):
  function matrix_chain_mult__helper (line 114) | def matrix_chain_mult__helper(i, j):
  function matrix_chain_mult__helper (line 142) | def matrix_chain_mult__helper(i, j):
  function matrix_chain_mult__helper (line 169) | def matrix_chain_mult__helper(i, j):
  function matrix_chain_mult__helper (line 211) | def matrix_chain_mult__helper(i, j):
  function matrix_chain_mult__helper (line 253) | def matrix_chain_mult__helper(i, j):
  function __fiberfn_matrix_chain_mult__helper (line 295) | def __fiberfn_matrix_chain_mult__helper(frame):

FILE: examples/sum.py
  function sum (line 17) | def sum(lst, acc):
  function sum (line 28) | def sum(lst, acc):
  function sum (line 39) | def sum(lst, acc):
  function sum (line 50) | def sum(lst, acc):
  function sum (line 61) | def sum(lst, acc):
  function sum (line 73) | def sum(lst, acc):
  function sum (line 84) | def sum(lst, acc):
  function sum (line 99) | def sum(lst, acc):
  function sum (line 114) | def sum(lst, acc):
  function __fiberfn_sum (line 129) | def __fiberfn_sum(frame):

FILE: examples/tree_recursion.py
  function all_zeroes (line 17) | def all_zeroes(tree):
  function all_zeroes (line 31) | def all_zeroes(tree):
  function all_zeroes (line 45) | def all_zeroes(tree):
  function all_zeroes (line 59) | def all_zeroes(tree):
  function all_zeroes (line 76) | def all_zeroes(tree):
  function all_zeroes (line 95) | def all_zeroes(tree):
  function all_zeroes (line 112) | def all_zeroes(tree):
  function all_zeroes (line 141) | def all_zeroes(tree):
  function all_zeroes (line 170) | def all_zeroes(tree):
  function __fiberfn_all_zeroes (line 199) | def __fiberfn_all_zeroes(frame):

FILE: src/expressions.py
  function promote_call_expressions (line 21) | def promote_call_expressions(expression: ast.AST, fns: Container[str], n...
  function make_and_if (line 42) | def make_and_if(name: str, expression: ast.AST, body):
  function make_or_if (line 50) | def make_or_if(name: str, expression: ast.AST, body):
  function promote_boolean_expression_operands (line 58) | def promote_boolean_expression_operands(expression: ast.AST, name_iter, ...
  function promote_variable_access (line 90) | def promote_variable_access(expression: ast.AST, name_fn):

FILE: src/fiber.py
  function get_tree (line 27) | def get_tree(fn):
  function fn_call_names (line 35) | def fn_call_names(stmt: ast.AST, fns: Container[str]):
  function make_prev_dict (line 42) | def make_prev_dict(block: ast.AST):
  class CallOp (line 59) | class CallOp:
  class TailCallOp (line 67) | class TailCallOp:
  class RetOp (line 74) | class RetOp:
  function matches_call (line 85) | def matches_call(call: Union[ast.expr, None], fns: Container[str]):
  function matches_callop (line 91) | def matches_callop(stmt: ast.AST, fns: Container[str]):
  function matches_tailcallop (line 100) | def matches_tailcallop(stmt: ast.AST, fns: Container[str]):
  function matches_retop (line 104) | def matches_retop(stmt: ast.AST, fns: Container[str]):
  function is_pc_assign (line 108) | def is_pc_assign(stmt: ast.AST):
  function is_tail_call (line 120) | def is_tail_call(stmt: ast.AST):
  function make_callop_expr (line 125) | def make_callop_expr(variable: ast.Constant, call: ast.Call):
  function make_tailcallop_expr (line 143) | def make_tailcallop_expr(call: ast.Call):
  function make_retop_expr (line 160) | def make_retop_expr(value: ast.AST):
  function make_arguments (line 172) | def make_arguments():
  function fix_fn_def (line 184) | def fix_fn_def(fn_tree: ast.FunctionDef, fn):
  function fiber_locals (line 189) | def fiber_locals(fn_tree: ast.FunctionDef):
  function insert_jumps (line 195) | def insert_jumps(fn_tree: ast.FunctionDef, prev_dict, fns):
  function lift_locals_to_frame (line 202) | def lift_locals_to_frame(fn_tree: ast.FunctionDef):
  function needs_jump (line 208) | def needs_jump(stmt: ast.AST, prev_dict, fns):
  function compile_tree (line 223) | def compile_tree(tree: ast.AST, fn, local_vars):
  class FiberMetadata (line 236) | class FiberMetadata:
  function add_trampoline_returns (line 245) | def add_trampoline_returns(block: ast.AST, fns: Container[str]):
  function fiber (line 272) | def fiber(fns: Container[str] = None, *, locals, recursive=True):

FILE: src/fiber_test.py
  class TestFiber (line 20) | class TestFiber(unittest.TestCase):
    method test_fib (line 22) | def test_fib(self):
    method test_sum (line 54) | def test_sum(self):

FILE: src/jumps.py
  function is_supported_jump_block (line 22) | def is_supported_jump_block(b: ast.AST):
  function block_has_jump_to (line 26) | def block_has_jump_to(block, jump_to: Callable[[ast.AST], bool]):
  function has_jump_to (line 30) | def has_jump_to(stmt: ast.AST, jump_to: Callable[[ast.AST], bool]):
  function partition_stmts (line 34) | def partition_stmts(stmts: Iterable[ast.AST], jump_to: Callable[[ast.AST...
  function transform_if (line 46) | def transform_if(stmt: ast.If, jump_to: Callable[[ast.AST], bool], next_...
  function transform_while (line 52) | def transform_while(stmt: ast.While, jump_to: Callable[[ast.AST], bool],...
  function make_range_test (line 60) | def make_range_test(start_pc, end_pc):
  function transform_partition (line 77) | def transform_partition(partition, jump_to, next_pc):
  function insert_jumps (line 97) | def insert_jumps(stmts: Iterable[ast.AST], jump_to: Callable[[ast.AST], ...

FILE: src/jumps_test.py
  class TestInsertJumps (line 21) | class TestInsertJumps(unittest.TestCase):
    method test_complex (line 23) | def test_complex(self):
    method test_equivalent (line 90) | def test_equivalent(self):

FILE: src/manual.py
  function editDistance (line 19) | def editDistance(first, second):
  function editDistanceImpl (line 29) | def editDistanceImpl(first, second, f, s):
  class Frame (line 45) | class Frame:
  class CallOp (line 52) | class CallOp:
  class TailCallOp (line 58) | class TailCallOp:
  class RetOp (line 63) | class RetOp:
  function engine (line 67) | def engine(fn, args):
  function editDistanceIterImpl (line 86) | def editDistanceIterImpl(frame):

FILE: src/mappers.py
  function map_scope (line 22) | def map_scope(scope, fn):
  function promote_to_temporary_m (line 38) | def promote_to_temporary_m(fns: Container[str], name_iter):
  function remove_trivial_temporaries_m (line 49) | def remove_trivial_temporaries_m(fn_ast: ast.AST):
  function for_to_while_m (line 63) | def for_to_while_m(name_iter):
  function promote_while_cond_m (line 79) | def promote_while_cond_m(name_iter):
  function bool_exps_to_if_m (line 94) | def bool_exps_to_if_m(name_iter):
  function lift_to_frame_m (line 105) | def lift_to_frame_m(name_fn=lambda x: x):

FILE: src/mappers_test.py
  function map_function (line 21) | def map_function(source, mapper):
  class TestMappers (line 28) | class TestMappers(unittest.TestCase):
    method test_promote_to_temporary_m (line 30) | def test_promote_to_temporary_m(self):
    method test_remove_trivial_temporaries_m (line 60) | def test_remove_trivial_temporaries_m(self):
    method test_remove_trivial_temporaries_m_tail_call (line 99) | def test_remove_trivial_temporaries_m_tail_call(self):
    method test_for_to_while_m (line 121) | def test_for_to_while_m(self):
    method test_promote_while_cond_m (line 159) | def test_promote_while_cond_m(self):
    method test_bool_exps_to_if_m (line 188) | def test_bool_exps_to_if_m(self):
    method test_lift_to_frame_m (line 221) | def test_lift_to_frame_m(self):

FILE: src/trampoline.py
  class StackFrame (line 25) | class StackFrame:
  function pos_with_defaults (line 31) | def pos_with_defaults(args: ast.arguments):
  function bind_frame (line 41) | def bind_frame(positional_args, keyword_args, fn_tree: ast.FunctionDef):
  function run (line 90) | def run(fn, args=None, kwargs=None, *, __max_stack_size=float('inf')):

FILE: src/trampoline_test.py
  class TestTrampoline (line 22) | class TestTrampoline(unittest.TestCase):
    method test_fib (line 24) | def test_fib(self):
    method test_sum (line 40) | def test_sum(self):
    method test_sum_recursion_exceeded (line 51) | def test_sum_recursion_exceeded(self):
    method test_sum_non_tailcall (line 59) | def test_sum_non_tailcall(self):
    method test_mutual_recursion (line 70) | def test_mutual_recursion(self):
    method test_edit_distance (line 85) | def test_edit_distance(self):
    method test_pop_balloons (line 106) | def test_pop_balloons(self):
    method test_tree_recursion (line 125) | def test_tree_recursion(self):

FILE: src/utils.py
  function dunder_names (line 24) | def dunder_names():
  function is_temporary (line 32) | def is_temporary(name):
  function is_supported_scope (line 36) | def is_supported_scope(tree):
  function map_expression (line 40) | def map_expression(statement: ast.AST, fn):
  function iter_scope (line 61) | def iter_scope(scope):
  function potentially_trivial_temporaries (line 69) | def potentially_trivial_temporaries(fn):
  function find_assignments (line 92) | def find_assignments(fn, variables):
  function replace_variable (line 106) | def replace_variable(statement, assignments):
  function make_assign (line 125) | def make_assign(target, value):
  function make_call (line 129) | def make_call(func: str, *args):
  function make_lookup (line 133) | def make_lookup(name: str):
  function make_not (line 137) | def make_not(exp: ast.AST):
  function make_for_try (line 141) | def make_for_try(loop_target, iter_n, test_n):
  function is_block (line 156) | def is_block(block: ast.AST):
  function _locals_impl (line 160) | def _locals_impl(fn: ast.AST):
  function local_vars (line 183) | def local_vars(fn: ast.AST):
Condensed preview — 19 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (113K chars).
[
  {
    "path": "CONTRIBUTING.md",
    "chars": 1096,
    "preview": "# How to Contribute\n\nWe'd love to accept your patches and contributions to this project. There are\njust a few small guid"
  },
  {
    "path": "LICENSE",
    "chars": 11358,
    "preview": "\n                                 Apache License\n                           Version 2.0, January 2004\n                  "
  },
  {
    "path": "README.md",
    "chars": 9520,
    "preview": "# Fiber\n\nFiber implements an proof-of-concept Python decorator that rewrites a function\nso that it can be paused and res"
  },
  {
    "path": "examples/edit_distance.py",
    "chars": 9053,
    "preview": "# Copyright 2021 Google LLC\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this f"
  },
  {
    "path": "examples/fib.py",
    "chars": 5588,
    "preview": "# Copyright 2021 Google LLC\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this f"
  },
  {
    "path": "examples/matrix_chain_mult.py",
    "chars": 9714,
    "preview": "# Copyright 2021 Google LLC\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this f"
  },
  {
    "path": "examples/sum.py",
    "chars": 3010,
    "preview": "# Copyright 2021 Google LLC\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this f"
  },
  {
    "path": "examples/tree_recursion.py",
    "chars": 5539,
    "preview": "# Copyright 2021 Google LLC\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this f"
  },
  {
    "path": "src/expressions.py",
    "chars": 3980,
    "preview": "# Copyright 2021 Google LLC\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this f"
  },
  {
    "path": "src/fiber.py",
    "chars": 10428,
    "preview": "# Copyright 2021 Google LLC\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this f"
  },
  {
    "path": "src/fiber_test.py",
    "chars": 2352,
    "preview": "# Copyright 2021 Google LLC\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this f"
  },
  {
    "path": "src/jumps.py",
    "chars": 4349,
    "preview": "# Copyright 2021 Google LLC\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this f"
  },
  {
    "path": "src/jumps_test.py",
    "chars": 3079,
    "preview": "# Copyright 2021 Google LLC\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this f"
  },
  {
    "path": "src/manual.py",
    "chars": 3701,
    "preview": "# Copyright 2021 Google LLC\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this f"
  },
  {
    "path": "src/mappers.py",
    "chars": 4265,
    "preview": "# Copyright 2021 Google LLC\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this f"
  },
  {
    "path": "src/mappers_test.py",
    "chars": 6222,
    "preview": "# Copyright 2021 Google LLC\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this f"
  },
  {
    "path": "src/trampoline.py",
    "chars": 4393,
    "preview": "# Copyright 2021 Google LLC\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this f"
  },
  {
    "path": "src/trampoline_test.py",
    "chars": 4798,
    "preview": "# Copyright 2021 Google LLC\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this f"
  },
  {
    "path": "src/utils.py",
    "chars": 6278,
    "preview": "# Copyright 2021 Google LLC\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this f"
  }
]

About this extraction

This page contains the full source code of the tylerhou/fiber GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 19 files (106.2 KB), approximately 27.4k tokens, and a symbol index with 148 extracted functions, classes, methods, constants, and types. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.

Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.

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