--- title: Title keywords: fastai sidebar: home_sidebar nb_path: "nbs/demo-Copy1.ipynb" ---
import pandas as pd
from tree_sitter import Language
from function_parser.language_data import LANGUAGE_METADATA
from function_parser.process import DataProcessor
Language.build_library(
# Store the library in the directory
'/root/workspace/function_parser/py-tree-sitter-languages.so',
# Include one or more languages
['/root/workspace/function_parser/tree-sitter-python']
)
True
language = 'python'
DataProcessor.PARSER.set_language(Language('/root/workspace/function_parser/py-tree-sitter-languages.so', language))
processor = DataProcessor(language=language,
language_parser=LANGUAGE_METADATA[language]['language_parser'])
dependee = 'keras-team/keras'
definitions = processor.process_dee(dependee, ext=LANGUAGE_METADATA[language]['ext'])
pd.DataFrame(definitions).head()
nwo | sha | path | language | identifier | parameters | argument_list | return_statement | docstring | docstring_summary | docstring_tokens | function | function_tokens | url | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | keras-team/keras | e43af6c89cd6c4adecc21ad5fc05b21e7fa9477b | keras/optimizer_v1.py | python | Optimizer.__init__ | (self, **kwargs) | [] | def __init__(self, **kwargs):\n allowed_kwa... | [def, __init__, (, self, ,, *, *, kwargs, ), :... | https://github.com/keras-team/keras/blob/e43af... | ||||
1 | keras-team/keras | e43af6c89cd6c4adecc21ad5fc05b21e7fa9477b | keras/optimizer_v1.py | python | Optimizer._create_all_weights | (self, params) | Creates and sets all optimizer weights.\n\n ... | Creates and sets all optimizer weights. | [Creates, and, sets, all, optimizer, weights, .] | def _create_all_weights(self, params):\n ""... | [def, _create_all_weights, (, self, ,, params,... | https://github.com/keras-team/keras/blob/e43af... | ||
2 | keras-team/keras | e43af6c89cd6c4adecc21ad5fc05b21e7fa9477b | keras/optimizer_v1.py | python | Optimizer.get_gradients | (self, loss, params) | return grads | Returns gradients of `loss` with respect to `p... | Returns gradients of `loss` with respect to `p... | [Returns, gradients, of, loss, with, respect, ... | def get_gradients(self, loss, params):\n ""... | [def, get_gradients, (, self, ,, loss, ,, para... | https://github.com/keras-team/keras/blob/e43af... | |
3 | keras-team/keras | e43af6c89cd6c4adecc21ad5fc05b21e7fa9477b | keras/optimizer_v1.py | python | Optimizer.set_weights | (self, weights) | Sets the weights of the optimizer, from Numpy ... | Sets the weights of the optimizer, from Numpy ... | [Sets, the, weights, of, the, optimizer, from,... | def set_weights(self, weights):\n """Sets t... | [def, set_weights, (, self, ,, weights, ), :, ... | https://github.com/keras-team/keras/blob/e43af... | ||
4 | keras-team/keras | e43af6c89cd6c4adecc21ad5fc05b21e7fa9477b | keras/optimizer_v1.py | python | Optimizer.get_weights | (self) | return K.batch_get_value(self.weights) | Returns the current value of the weights of th... | Returns the current value of the weights of th... | [Returns, the, current, value, of, the, weight... | def get_weights(self):\n """Returns the cur... | [def, get_weights, (, self, ), :, return, K, .... | https://github.com/keras-team/keras/blob/e43af... |
library_candidates = {}
library_candidates[dependee.split('/')[-1]] = definitions
dependent = dependee#'eriklindernoren/Keras-GAN'
calls, edges = processor.process_dent(dependent, ext=LANGUAGE_METADATA[language]['ext'], library_candidates=library_candidates)
edges
[('https://github.com/keras-team/keras/blob/e43af6c89cd6c4adecc21ad5fc05b21e7fa9477b/keras/callbacks_v1.py#L166-L166', 'https://github.com/keras-team/keras/blob/e43af6c89cd6c4adecc21ad5fc05b21e7fa9477b/keras/backend.py#L729-L736'), ('https://github.com/keras-team/keras/blob/e43af6c89cd6c4adecc21ad5fc05b21e7fa9477b/keras/callbacks_v1.py#L168-L168', 'https://github.com/keras-team/keras/blob/e43af6c89cd6c4adecc21ad5fc05b21e7fa9477b/keras/backend.py#L729-L736'), ('https://github.com/keras-team/keras/blob/e43af6c89cd6c4adecc21ad5fc05b21e7fa9477b/keras/callbacks_v1.py#L182-L182', 'https://github.com/keras-team/keras/blob/e43af6c89cd6c4adecc21ad5fc05b21e7fa9477b/keras/backend.py#L1402-L1428'), ('https://github.com/keras-team/keras/blob/e43af6c89cd6c4adecc21ad5fc05b21e7fa9477b/keras/callbacks_v1.py#L186-L186', 'https://github.com/keras-team/keras/blob/e43af6c89cd6c4adecc21ad5fc05b21e7fa9477b/keras/backend.py#L1402-L1428'), 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pd.DataFrame(calls)
argument_list | identifier | language | nwo | path | sha | url | |
---|---|---|---|---|---|---|---|
0 | (0.0002, 0.5) | Adam | python | eriklindernoren/Keras-GAN | discogan/discogan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
1 | (layer_input) | Conv2D | python | eriklindernoren/Keras-GAN | discogan/discogan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
2 | (filters, kernel_size=f_size, strides=2, paddi... | Conv2D | python | eriklindernoren/Keras-GAN | discogan/discogan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
3 | (d) | LeakyReLU | python | eriklindernoren/Keras-GAN | discogan/discogan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
4 | (alpha=0.2) | LeakyReLU | python | eriklindernoren/Keras-GAN | discogan/discogan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
5 | (layer_input) | UpSampling2D | python | eriklindernoren/Keras-GAN | discogan/discogan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
6 | (size=2) | UpSampling2D | python | eriklindernoren/Keras-GAN | discogan/discogan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
7 | (u) | Conv2D | python | eriklindernoren/Keras-GAN | discogan/discogan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
8 | (filters, kernel_size=f_size, strides=1, paddi... | Conv2D | python | eriklindernoren/Keras-GAN | discogan/discogan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
9 | (u) | Dropout | python | eriklindernoren/Keras-GAN | discogan/discogan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
10 | (dropout_rate) | Dropout | python | eriklindernoren/Keras-GAN | discogan/discogan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
11 | ([u, skip_input]) | Concatenate | python | eriklindernoren/Keras-GAN | discogan/discogan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
12 | () | Concatenate | python | eriklindernoren/Keras-GAN | discogan/discogan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
13 | (u6) | UpSampling2D | python | eriklindernoren/Keras-GAN | discogan/discogan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
14 | (size=2) | UpSampling2D | python | eriklindernoren/Keras-GAN | discogan/discogan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
15 | (u7) | Conv2D | python | eriklindernoren/Keras-GAN | discogan/discogan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
16 | (self.channels, kernel_size=4, strides=1,\n ... | Conv2D | python | eriklindernoren/Keras-GAN | discogan/discogan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
17 | (layer_input) | Conv2D | python | eriklindernoren/Keras-GAN | discogan/discogan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
18 | (filters, kernel_size=f_size, strides=2, paddi... | Conv2D | python | eriklindernoren/Keras-GAN | discogan/discogan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
19 | (d) | LeakyReLU | python | eriklindernoren/Keras-GAN | discogan/discogan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
20 | (alpha=0.2) | LeakyReLU | python | eriklindernoren/Keras-GAN | discogan/discogan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
21 | (d4) | Conv2D | python | eriklindernoren/Keras-GAN | discogan/discogan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
22 | (1, kernel_size=4, strides=1, padding='same') | Conv2D | python | eriklindernoren/Keras-GAN | discogan/discogan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
23 | (0.0002, 0.5) | Adam | python | eriklindernoren/Keras-GAN | dcgan/dcgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
24 | () | Sequential | python | eriklindernoren/Keras-GAN | dcgan/dcgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
25 | (128 * 7 * 7, activation="relu", input_dim=sel... | Dense | python | eriklindernoren/Keras-GAN | dcgan/dcgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
26 | ((7, 7, 128)) | Reshape | python | eriklindernoren/Keras-GAN | dcgan/dcgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
27 | () | UpSampling2D | python | eriklindernoren/Keras-GAN | dcgan/dcgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
28 | (128, kernel_size=3, padding="same") | Conv2D | python | eriklindernoren/Keras-GAN | dcgan/dcgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
29 | (momentum=0.8) | BatchNormalization | python | eriklindernoren/Keras-GAN | dcgan/dcgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
... | ... | ... | ... | ... | ... | ... | ... |
621 | (alpha=0.2) | LeakyReLU | python | eriklindernoren/Keras-GAN | ccgan/ccgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
622 | (d) | BatchNormalization | python | eriklindernoren/Keras-GAN | ccgan/ccgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
623 | (momentum=0.8) | BatchNormalization | python | eriklindernoren/Keras-GAN | ccgan/ccgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
624 | (layer_input) | UpSampling2D | python | eriklindernoren/Keras-GAN | ccgan/ccgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
625 | (size=2) | UpSampling2D | python | eriklindernoren/Keras-GAN | ccgan/ccgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
626 | (u) | Conv2D | python | eriklindernoren/Keras-GAN | ccgan/ccgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
627 | (filters, kernel_size=f_size, strides=1, paddi... | Conv2D | python | eriklindernoren/Keras-GAN | ccgan/ccgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
628 | (u) | Dropout | python | eriklindernoren/Keras-GAN | ccgan/ccgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
629 | (dropout_rate) | Dropout | python | eriklindernoren/Keras-GAN | ccgan/ccgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
630 | (u) | BatchNormalization | python | eriklindernoren/Keras-GAN | ccgan/ccgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
631 | (momentum=0.8) | BatchNormalization | python | eriklindernoren/Keras-GAN | ccgan/ccgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
632 | ([u, skip_input]) | Concatenate | python | eriklindernoren/Keras-GAN | ccgan/ccgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
633 | () | Concatenate | python | eriklindernoren/Keras-GAN | ccgan/ccgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
634 | (u3) | UpSampling2D | python | eriklindernoren/Keras-GAN | ccgan/ccgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
635 | (size=2) | UpSampling2D | python | eriklindernoren/Keras-GAN | ccgan/ccgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
636 | (u4) | Conv2D | python | eriklindernoren/Keras-GAN | ccgan/ccgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
637 | (self.channels, kernel_size=4, strides=1, padd... | Conv2D | python | eriklindernoren/Keras-GAN | ccgan/ccgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
638 | () | Sequential | python | eriklindernoren/Keras-GAN | ccgan/ccgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
639 | (64, kernel_size=4, strides=2, padding='same',... | Conv2D | python | eriklindernoren/Keras-GAN | ccgan/ccgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
640 | (alpha=0.8) | LeakyReLU | python | eriklindernoren/Keras-GAN | ccgan/ccgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
641 | (128, kernel_size=4, strides=2, padding='same') | Conv2D | python | eriklindernoren/Keras-GAN | ccgan/ccgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
642 | (alpha=0.2) | LeakyReLU | python | eriklindernoren/Keras-GAN | ccgan/ccgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
643 | (256, kernel_size=4, strides=2, padding='same') | Conv2D | python | eriklindernoren/Keras-GAN | ccgan/ccgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
644 | (alpha=0.2) | LeakyReLU | python | eriklindernoren/Keras-GAN | ccgan/ccgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
645 | (features) | Conv2D | python | eriklindernoren/Keras-GAN | ccgan/ccgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
646 | (1, kernel_size=4, strides=1, padding='same') | Conv2D | python | eriklindernoren/Keras-GAN | ccgan/ccgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
647 | (features) | Flatten | python | eriklindernoren/Keras-GAN | ccgan/ccgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
648 | () | Flatten | python | eriklindernoren/Keras-GAN | ccgan/ccgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
649 | (label) | Dense | python | eriklindernoren/Keras-GAN | ccgan/ccgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
650 | (self.num_classes+1, activation="softmax") | Dense | python | eriklindernoren/Keras-GAN | ccgan/ccgan.py | 44d3320e84ca00071de8a5c0fb4566d10486bb1d | https://github.com/eriklindernoren/Keras-GAN/b... |
651 rows × 7 columns
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