SYMBOL INDEX (70 symbols across 17 files)

FILE: _codes/cpp/面向对象-不通过继承实现多态-动态序列.cpp
  class num_sequence (line 4) | class num_sequence {
    type ns_type (line 11) | enum ns_type {
    method num_sequence (line 16) | num_sequence(): _pmf(func_tbl[ns_fibonacci]) { }
    method set_sequence (line 19) | void set_sequence(ns_type nst) {
    method print (line 29) | void print(int n) {
    method fibonacci (line 34) | void fibonacci(int n) {
    method square (line 42) | void square(int n) {
  function main (line 58) | int main() {

FILE: _codes/machine_learning/KMeans/kmeans.py
  function load_data (line 11) | def load_data(file_path):
  function score_euclidean (line 24) | def score_euclidean(a, b):
  function rand_center (line 30) | def rand_center(data, k):
  function k_means (line 36) | def k_means(data, k, max_iter=100, score=score_euclidean, e=1e-6):
  function _test (line 87) | def _test():

FILE: _codes/model/倒排索引/inverse_index.py
  function word_clean (line 23) | def word_clean(word):
  function create_inverse_index (line 30) | def create_inverse_index(files_list):
  function search_tokens (line 70) | def search_tokens(tokens, inverse_index, word_freq=None):
  function search (line 81) | def search(txt, inverse_index, word_freq=None):
  function printy (line 108) | def printy(ret):

FILE: _codes/my_nlp/src/utils/__init__.py
  function get_w2v (line 6) | def get_w2v(file_path):

FILE: _codes/my_nlp/src/utils/vocab.py
  function set_vocab (line 4) | def set_vocab(sentences, save_path=None):
  function get_vocab (line 12) | def get_vocab(file_path):

FILE: _codes/my_tensorflow/src/activations/__init__.py
  function linear (line 6) | def linear(x):
  function identity (line 11) | def identity(x):
  function sigmoid (line 16) | def sigmoid(x):
  function hard_sigmoid (line 21) | def hard_sigmoid(x):
  function tanh (line 32) | def tanh(x):
  function softplus (line 37) | def softplus(x):
  function softsign (line 42) | def softsign(x):
  function softmax (line 49) | def softmax(x, axis=-1):
  function elu (line 65) | def elu(x):
  function selu (line 70) | def selu(x):

FILE: _codes/my_tensorflow/src/activations/relu.py
  function relu (line 8) | def relu(x):
  function relu6 (line 15) | def relu6(x):
  function crelu (line 22) | def crelu(x, axis=-1):
  function leaky_relu (line 28) | def leaky_relu(x, alpha=0.1):
  function clip_relu (line 35) | def clip_relu(x, max_value):
  function parametric_relu (line 44) | def parametric_relu(x, channel_shared=False, alpha_init=constant(0.), na...

FILE: _codes/my_tensorflow/src/layers/attention.py
  function attention_for_dense (line 16) | def attention_for_dense(x, name=None, reuse=None):
  function attention_for_rnn (line 41) | def attention_for_rnn(x, n_step=None, name=None, reuse=None, use_mean_at...

FILE: _codes/my_tensorflow/src/layers/cnn.py
  function conv1d (line 13) | def conv1d():
  function conv2d (line 17) | def conv2d(x, kernel_size, out_channels,

FILE: _codes/my_tensorflow/src/layers/dense.py
  function dense (line 15) | def dense(x, n_unit, act_fn=relu, name=None, reuse=None):
  function multi_dense (line 37) | def multi_dense(x, n_unit_ls, act_fn=relu, name=None):
  function linear_dense (line 56) | def linear_dense(x, n_unit, name=None, reuse=None):
  class Dense (line 70) | class Dense(object):
    method __init__ (line 73) | def __init__(self, n_unit, act_fn=relu, name=None):
    method _build (line 81) | def _build(self, n_input):
    method _call (line 86) | def _call(self, x):
    method __call__ (line 91) | def __call__(self, x):

FILE: _codes/my_tensorflow/src/layers/embedding/char_cnn.py
  function char_cnn_embedding (line 13) | def char_cnn_embedding(x, c_embed_size=8, share_cnn_weights=True, name="...

FILE: _codes/my_tensorflow/src/layers/highway.py
  function highway_dense (line 15) | def highway_dense(x, act_fn=relu, carry_bias=-1.0, name=None):
  function multi_highway_dense (line 39) | def multi_highway_dense(x, n_layer, act_fn=relu, carry_bias=-1.0, name=N...
  function highway_conv2d (line 51) | def highway_conv2d(x, kernel_size,
  function multi_highway_conv2d (line 89) | def multi_highway_conv2d(x, kernel_size, n_layer,

FILE: _codes/my_tensorflow/src/layers/match/attention_flow.py
  function attention_flow_self (line 17) | def attention_flow_self(h, u, T=None, J=None, d=None, name=None, reuse=N...
  function attention_flow (line 62) | def attention_flow(h, u, T=None, J=None, d=None, name=None, reuse=None):

FILE: _codes/my_tensorflow/src/regularizers/L1L2.py
  class L1L2Regularizer (line 11) | class L1L2Regularizer(object):
    method __init__ (line 19) | def __init__(self, l1=0., l2=0.):
    method __call__ (line 28) | def __call__(self, x):

FILE: _codes/my_tensorflow/src/utils/__init__.py
  function foo (line 22) | def foo():
  function get_shape (line 26) | def get_shape(x):
  function get_wb (line 39) | def get_wb(shape,
  function get_w (line 54) | def get_w(shape,
  function get_params_dict (line 64) | def get_params_dict():
  function print_params_dict (line 73) | def print_params_dict():
  function get_params_number (line 87) | def get_params_number():
  function print_params_number (line 93) | def print_params_number():

FILE: _codes/my_tensorflow/src/utils/array_op.py
  function permute (line 12) | def permute(x, perm):
  function repeat (line 29) | def repeat(x, n):

FILE: _codes/my_tensorflow/src/utils/math_op.py
  function dot (line 10) | def dot(x, y):