code stringlengths 1 1.49M | file_id stringlengths 42 46 | node_count int64 0 7.38k | total_lines int64 1 20.9k | vector_dim int64 15 15 | vector_labels stringclasses 1
value | nodes stringlengths 2 3.75M | connections stringlengths 2 964k |
|---|---|---|---|---|---|---|---|
# Copyright (C) 2011 Google Inc.
#
# 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 writ... | ajibawa-2023/Python-Code-Large/train/row_97363 | 33 | 105 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97363:Expr_L15_C0", "label": "expression", "type": "expression", "loc": [15, 19], "level": 0, "parent": null, "vector": [8, 0, 0.1619, 0.0476, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "anno... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97363:ClassDef_L57_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97363:Expr_L58_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97363:ClassDef_L62_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97363:Expr_L63_C2"}, {"f": "ajibawa-2023/Python-Code-Large/t... |
# Copyright (C) 2010 Google Inc.
#
# 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 writ... | ajibawa-2023/Python-Code-Large/train/row_97364 | 46 | 106 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97364:Expr_L15_C0", "label": "expression", "type": "expression", "loc": [15, 19], "level": 0, "parent": null, "vector": [8, 0, 0.1604, 0.0472, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "anno... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97364:ClassDef_L32_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97364:Expr_L33_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97364:ClassDef_L32_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97364:FunctionDef_L35_C2"}, {"f": "ajibawa-2023/Python-Code-... |
__version__ = "1.0c2"
| ajibawa-2023/Python-Code-Large/train/row_97365 | 1 | 1 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97365:Assign_L1_C0", "label": "__version__ =", "type": "assigned_variable", "loc": [1, 1], "level": 0, "parent": null, "vector": [14, 0, 1.0, 1.0, 0, 0.66, 0.0, 162, 1, 0, 0, 0, 0, 3, 0], "semantic": {"name": "__version__", "arg_names": [], "import_names": [], "rhs_call... | [] |
# Copyright (C) 2010 Google Inc.
#
# 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 writ... | ajibawa-2023/Python-Code-Large/train/row_97366 | 63 | 124 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97366:Expr_L15_C0", "label": "expression", "type": "expression", "loc": [15, 19], "level": 0, "parent": null, "vector": [8, 0, 0.1371, 0.0403, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "anno... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97366:ClassDef_L30_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97366:Assign_L32_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97366:ClassDef_L30_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97366:FunctionDef_L34_C2"}, {"f": "ajibawa-2023/Python-Cod... |
# Copyright (C) 2007 Joe Gregorio
#
# Licensed under the MIT License
"""MIME-Type Parser
This module provides basic functions for handling mime-types. It can handle
matching mime-types against a list of media-ranges. See section 14.1 of the
HTTP specification [RFC 2616] for a complete explanation.
http://www.w3.o... | ajibawa-2023/Python-Code-Large/train/row_97368 | 57 | 172 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97368:Expr_L5_C0", "label": "expression", "type": "expression", "loc": [5, 23], "level": 0, "parent": null, "vector": [8, 0, 0.0814, 0.1105, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annota... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97368:FunctionDef_L32_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97368:Expr_L33_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97368:FunctionDef_L32_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97368:Assign_L42_C4"}, {"f": "ajibawa-2023/Python-Code... |
# Copyright (C) 2010 Google Inc.
#
# 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 writ... | ajibawa-2023/Python-Code-Large/train/row_97369 | 114 | 303 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97369:Expr_L15_C0", "label": "expression", "type": "expression", "loc": [15, 58], "level": 0, "parent": null, "vector": [8, 0, 0.1205, 0.1452, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "anno... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97369:ClassDef_L68_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97369:Expr_L69_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97369:ClassDef_L68_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97369:FunctionDef_L71_C2"}, {"f": "ajibawa-2023/Python-Code-... |
# Copyright (C) 2010 Google Inc.
#
# 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 writ... | ajibawa-2023/Python-Code-Large/train/row_97370 | 7 | 32 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97370:Expr_L15_C0", "label": "expression", "type": "expression", "loc": [15, 19], "level": 0, "parent": null, "vector": [8, 0, 0.5312, 0.1562, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "anno... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97370:Try_L24_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97370:Import_L25_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97370:Try_L24_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97370:Try_L27_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_... |
# Copyright (C) 2010 Google Inc.
#
# 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 writ... | ajibawa-2023/Python-Code-Large/train/row_97371 | 201 | 483 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97371:Expr_L15_C0", "label": "expression", "type": "expression", "loc": [15, 18], "level": 0, "parent": null, "vector": [8, 0, 0.0342, 0.0083, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "anno... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97371:Try_L31_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97371:ImportFrom_L32_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97371:Try_L31_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97371:ImportFrom_L34_C2"}, {"f": "ajibawa-2023/Python-Code-Large... |
# Copyright (C) 2010 Google Inc.
#
# 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 writ... | ajibawa-2023/Python-Code-Large/train/row_97373 | 55 | 135 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97373:Expr_L15_C0", "label": "expression", "type": "expression", "loc": [15, 19], "level": 0, "parent": null, "vector": [8, 0, 0.1259, 0.037, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annot... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97373:ClassDef_L30_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97373:Expr_L31_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97373:ClassDef_L30_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97373:Assign_L36_C2"}, {"f": "ajibawa-2023/Python-Code-Large... |
# Copyright (C) 2010 Google Inc.
#
# 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 writ... | ajibawa-2023/Python-Code-Large/train/row_97375 | 28 | 63 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97375:Expr_L15_C0", "label": "expression", "type": "expression", "loc": [15, 18], "level": 0, "parent": null, "vector": [8, 0, 0.2619, 0.0635, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "anno... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97375:ClassDef_L28_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97375:Expr_L29_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97375:ClassDef_L28_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97375:FunctionDef_L31_C2"}, {"f": "ajibawa-2023/Python-Code-... |
# Copyright (C) 2010 Google Inc.
#
# 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 writ... | ajibawa-2023/Python-Code-Large/train/row_97376 | 29 | 56 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97376:Import_L15_C0", "label": "apiclient import apiclient", "type": "import", "loc": [15, 15], "level": 0, "parent": null, "vector": [1, 0, 0.2679, 0.0179, 0, 0.66, 0.0, 629, 0, 1, 0, 0, 629, 0, 0], "semantic": {"name": "apiclient", "arg_names": [], "import_names": ["a... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97376:ClassDef_L22_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97376:Assign_L24_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97376:ClassDef_L22_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97376:FunctionDef_L26_C2"}, {"f": "ajibawa-2023/Python-Cod... |
__version__ = "1.0c2"
| ajibawa-2023/Python-Code-Large/train/row_97377 | 1 | 1 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97377:Assign_L1_C0", "label": "__version__ =", "type": "assigned_variable", "loc": [1, 1], "level": 0, "parent": null, "vector": [14, 0, 1.0, 1.0, 0, 0.66, 0.0, 162, 1, 0, 0, 0, 0, 3, 0], "semantic": {"name": "__version__", "arg_names": [], "import_names": [], "rhs_call... | [] |
#!/usr/bin/python2.4
#
# Copyright (C) 2010 Google Inc.
#
# 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 l... | ajibawa-2023/Python-Code-Large/train/row_97378 | 154 | 385 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97378:Expr_L17_C0", "label": "expression", "type": "expression", "loc": [17, 23], "level": 0, "parent": null, "vector": [8, 0, 0.0519, 0.0182, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "anno... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97378:ClassDef_L45_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97378:Expr_L46_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97378:ClassDef_L45_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97378:FunctionDef_L53_C2"}, {"f": "ajibawa-2023/Python-Code-... |
#!/usr/bin/python2.4
#
# Copyright (C) 2010 Google Inc.
#
# 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 l... | ajibawa-2023/Python-Code-Large/train/row_97379 | 56 | 123 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97379:Expr_L17_C0", "label": "expression", "type": "expression", "loc": [17, 21], "level": 0, "parent": null, "vector": [8, 0, 0.1545, 0.0407, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "anno... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97379:ClassDef_L29_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97379:Expr_L30_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97379:ClassDef_L34_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97379:Expr_L35_C2"}, {"f": "ajibawa-2023/Python-Code-Large/t... |
"""
iri2uri
Converts an IRI to a URI.
"""
__author__ = "Joe Gregorio (joe@bitworking.org)"
__copyright__ = "Copyright 2006, Joe Gregorio"
__contributors__ = []
__version__ = "1.0.0"
__license__ = "MIT"
__history__ = """
"""
import urlparse
# Convert an IRI to a URI following the rules in RFC 3987
#
# The characte... | ajibawa-2023/Python-Code-Large/train/row_97380 | 43 | 110 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97380:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 6], "level": 0, "parent": null, "vector": [8, 0, 0.0318, 0.0545, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotat... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97380:FunctionDef_L53_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97380:Assign_L54_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97380:FunctionDef_L53_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97380:Assign_L55_C4"}, {"f": "ajibawa-2023/Python-Co... |
"""SocksiPy - Python SOCKS module.
Version 1.00
Copyright 2006 Dan-Haim. All rights reserved.
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice, this
... | ajibawa-2023/Python-Code-Large/train/row_97382 | 213 | 438 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97382:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 31], "level": 0, "parent": null, "vector": [8, 0, 0.0365, 0.0708, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annota... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97382:FunctionDef_L96_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97382:Expr_L97_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97382:FunctionDef_L96_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97382:Assign_L102_C4"}, {"f": "ajibawa-2023/Python-Cod... |
import Cookie
import datetime
import time
import email.utils
import calendar
import base64
import hashlib
import hmac
import re
import logging
# Ripped from the Tornado Framework's web.py
# http://github.com/facebook/tornado/commit/39ac6d169a36a54bb1f6b9bf1fdebb5c9da96e09
#
# Tornado is licensed under the Apache Licen... | ajibawa-2023/Python-Code-Large/train/row_97383 | 115 | 168 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97383:Import_L1_C0", "label": "Cookie import Cookie", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.006, 0.006, 0, 0.66, 0.0, 32, 0, 1, 0, 0, 32, 0, 0], "semantic": {"name": "Cookie", "arg_names": [], "import_names": ["Cookie"], "rhs_ca... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97383:ClassDef_L23_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97383:FunctionDef_L26_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97383:FunctionDef_L26_C2", "t": "ajibawa-2023/Python-Code-Large/train/row_97383:If_L27_C4"}, {"f": "ajibawa-2023/Python-Code... |
# This is the version of this source code.
manual_verstr = "1.5"
auto_build_num = "211"
verstr = manual_verstr + "." + auto_build_num
try:
from pyutil.version_class import Version as pyutil_Version
__version__ = pyutil_Version(verstr)
except (ImportError, ValueError):
# Maybe there is no pyutil insta... | ajibawa-2023/Python-Code-Large/train/row_97384 | 8 | 18 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97384:Assign_L3_C0", "label": "manual_verstr =", "type": "assigned_variable", "loc": [3, 3], "level": 0, "parent": null, "vector": [14, 0, 0.1667, 0.0556, 0, 0.66, 0.0, 189, 1, 0, 0, 0, 0, 3, 0], "semantic": {"name": "manual_verstr", "arg_names": [], "import_names": [],... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97384:Try_L12_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97384:ImportFrom_L13_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97384:Try_L12_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97384:Assign_L14_C4"}, {"f": "ajibawa-2023/Python-Code-Large/tra... |
"""
The MIT License
Copyright (c) 2007-2010 Leah Culver, Joe Stump, Mark Paschal, Vic Fryzel
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the ... | ajibawa-2023/Python-Code-Large/train/row_97385 | 10 | 41 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97385:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 23], "level": 0, "parent": null, "vector": [8, 0, 0.2927, 0.561, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotat... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97385:ClassDef_L30_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97385:Expr_L31_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97385:ClassDef_L30_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97385:FunctionDef_L33_C4"}, {"f": "ajibawa-2023/Python-Code-... |
"""
The MIT License
Copyright (c) 2007-2010 Leah Culver, Joe Stump, Mark Paschal, Vic Fryzel
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the ... | ajibawa-2023/Python-Code-Large/train/row_97386 | 9 | 40 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97386:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 23], "level": 0, "parent": null, "vector": [8, 0, 0.3, 0.575, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotation... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97386:ClassDef_L29_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97386:Expr_L30_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97386:ClassDef_L29_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97386:FunctionDef_L32_C4"}, {"f": "ajibawa-2023/Python-Code-... |
# Early, and incomplete implementation of -04.
#
import re
import urllib
RESERVED = ":/?#[]@!$&'()*+,;="
OPERATOR = "+./;?|!@"
EXPLODE = "*+"
MODIFIER = ":^"
TEMPLATE = re.compile(r"{(?P<operator>[\+\./;\?|!@])?(?P<varlist>[^}]+)}", re.UNICODE)
VAR = re.compile(r"^(?P<varname>[^=\+\*:\^]+)((?P<explode>[\+\*])|(?P<part... | ajibawa-2023/Python-Code-Large/train/row_97388 | 112 | 147 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97388:Import_L3_C0", "label": "re import re", "type": "import", "loc": [3, 3], "level": 0, "parent": null, "vector": [1, 0, 0.0204, 0.0068, 0, 0.66, 0.0, 540, 0, 1, 0, 0, 540, 0, 0], "semantic": {"name": "re", "arg_names": [], "import_names": ["re"], "rhs_call_name": ""... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97388:FunctionDef_L13_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97388:If_L14_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97388:If_L14_C2", "t": "ajibawa-2023/Python-Code-Large/train/row_97388:If_L15_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/ro... |
#! /usr/bin/python
# $Id: testupnpigd.py,v 1.4 2008/10/11 10:27:20 nanard Exp $
# MiniUPnP project
# Author : Thomas Bernard
# This Sample code is public domain.
# website : http://miniupnp.tuxfamily.org/
# import the python miniupnpc module
import miniupnpc
import socket
import BaseHTTPServer
# function definition
d... | ajibawa-2023/Python-Code-Large/train/row_97389 | 15 | 19 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97389:Import_L1_C0", "label": "miniupnpc import miniupnpc", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.0526, 0.0526, 0, 0.66, 0.0, 772, 0, 1, 0, 0, 772, 0, 0], "semantic": {"name": "miniupnpc", "arg_names": [], "import_names": ["mini... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97389:FunctionDef_L5_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97389:Assign_L6_C1"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97389:FunctionDef_L5_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97389:While_L7_C1"}, {"f": "ajibawa-2023/Python-Code-La... |
#! /usr/bin/python
# $Id: setup.py,v 1.3 2009/04/17 20:59:42 nanard Exp $
# the MiniUPnP Project (c) 2007 Thomas Bernard
# http://miniupnp.tuxfamily.org/ or http://miniupnp.free.fr/
#
# python script to build the miniupnpc module under unix
#
# replace libminiupnpc.a by libminiupnpc.so for shared library usage
from dis... | ajibawa-2023/Python-Code-Large/train/row_97390 | 2 | 15 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97390:ImportFrom_L9_C0", "label": "from distutils.core import setup, Extension", "type": "import", "loc": [9, 9], "level": 0, "parent": null, "vector": [1, 0, 0.6, 0.0667, 0, 0.66, 0.0, 152, 0, 2, 0, 0, 152, 0, 0], "semantic": {"name": "distutils.core", "arg_names": [],... | [] |
#! /usr/bin/python
# $Id: setupmingw32.py,v 1.1 2007/06/12 23:04:13 nanard Exp $
# the MiniUPnP Project (c) 2007 Thomas Bernard
# http://miniupnp.tuxfamily.org/ or http://miniupnp.free.fr/
#
# python script to build the miniupnpc module under unix
#
from distutils.core import setup, Extension
setup(name="miniupnpc", ve... | ajibawa-2023/Python-Code-Large/train/row_97391 | 2 | 15 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97391:ImportFrom_L8_C0", "label": "from distutils.core import setup, Extension", "type": "import", "loc": [8, 8], "level": 0, "parent": null, "vector": [1, 0, 0.5333, 0.0667, 0, 0.66, 0.0, 152, 0, 2, 0, 0, 152, 0, 0], "semantic": {"name": "distutils.core", "arg_names": ... | [] |
#! /usr/bin/python
# MiniUPnP project
# Author : Thomas Bernard
# This Sample code is public domain.
# website : http://miniupnp.tuxfamily.org/
# import the python miniupnpc module
import miniupnpc
import sys
# create the object
u = miniupnpc.UPnP()
print 'inital(default) values :'
print ' discoverdelay', u.discoverd... | ajibawa-2023/Python-Code-Large/train/row_97392 | 2 | 3 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97392:Import_L1_C0", "label": "miniupnpc import miniupnpc", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.3333, 0.3333, 0, 0.66, 0.0, 772, 0, 1, 0, 0, 772, 0, 0], "semantic": {"name": "miniupnpc", "arg_names": [], "import_names": ["mini... | [] |
#! /usr/bin/python
import dbus
bus = dbus.SessionBus()
proxy = bus.get_object('org.xchat.service', '/org/xchat/Remote')
remote = dbus.Interface(proxy, 'org.xchat.connection')
path = remote.Connect ("example.py",
"Python example",
"Example of a D-Bus client written in python",
"1.0")
proxy =... | ajibawa-2023/Python-Code-Large/train/row_97393 | 19 | 28 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97393:Import_L3_C0", "label": "dbus import dbus", "type": "import", "loc": [3, 3], "level": 0, "parent": null, "vector": [1, 0, 0.1071, 0.0357, 0, 0.66, 0.0, 551, 0, 1, 0, 0, 551, 0, 0], "semantic": {"name": "dbus", "arg_names": [], "import_names": ["dbus"], "rhs_call_n... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97393:While_L16_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97393:Assign_L17_C1"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97393:While_L16_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97393:Expr_L18_C1"}, {"f": "ajibawa-2023/Python-Code-Large/train... |
print("only a test")
| ajibawa-2023/Python-Code-Large/train/row_97394 | 1 | 2 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97394:Expr_L2_C0", "label": "print()", "type": "expression", "loc": [2, 2], "level": 0, "parent": null, "vector": [8, 0, 1.0, 0.5, 0, 0.66, 0.0, 535, 3, 1, 0, 0, 0, 0, 1], "semantic": {"name": "print", "arg_names": [], "import_names": [], "rhs_call_name": "print", "anno... | [] |
import os
import inspect
import glob
# try to import an environment first
try:
Import('env')
except:
exec open("../build/build-env.py")
env = Environment()
# on mac we have to tell the linker to link against the C++ library
if env['PLATFORM'] == "darwin":
env.Append(LINKFLAGS = "-lstdc++")
# find all .cus & ... | ajibawa-2023/Python-Code-Large/train/row_97396 | 18 | 29 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97396:Import_L1_C0", "label": "os import os", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.0345, 0.0345, 0, 0.66, 0.0, 688, 0, 1, 0, 0, 688, 0, 0], "semantic": {"name": "os", "arg_names": [], "import_names": ["os"], "rhs_call_name": ""... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97396:Try_L6_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97396:Expr_L7_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97396:Try_L6_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97396:Expr_L9_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97396... |
from scipy.sparse import coo_matrix
from scipy.io import mmwrite
from numpy.random import permutation
M = N = 10
for nnz in [0, 1, 2, 5, 8, 10, 15, 20, 30, 50, 80, 100]:
P = permutation(M * N)[:nnz]
I = P / N
J = P % N
V = permutation(nnz) + 1
A = coo_matrix( (V,(I,J)) , shape=(M,N))
filename ... | ajibawa-2023/Python-Code-Large/train/row_97397 | 12 | 15 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97397:ImportFrom_L1_C0", "label": "from scipy.sparse import coo_matrix", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.0667, 0.0667, 0, 0.66, 0.0, 683, 0, 1, 0, 0, 683, 0, 0], "semantic": {"name": "scipy.sparse", "arg_names": [], "impor... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97397:For_L6_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97397:Assign_L7_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97397:For_L6_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97397:Assign_L8_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_9... |
import os
import inspect
# try to import an environment first
try:
Import('env')
except:
exec open("../build/build-env.py")
env = Environment()
# on mac we have to tell the linker to link against the C++ library
if env['PLATFORM'] == "darwin":
env.Append(LINKFLAGS = "-lstdc++")
# on windows we have to do /bi... | ajibawa-2023/Python-Code-Large/train/row_97398 | 34 | 57 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97398:Import_L1_C0", "label": "os import os", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.0175, 0.0175, 0, 0.66, 0.0, 688, 0, 1, 0, 0, 688, 0, 0], "semantic": {"name": "os", "arg_names": [], "import_names": ["os"], "rhs_call_name": ""... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97398:Try_L5_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97398:Expr_L6_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97398:Try_L5_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97398:Expr_L8_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97398... |
import os
import glob
from warnings import warn
cusp_abspath = os.path.abspath("../../cusp/")
# try to import an environment first
try:
Import('env')
except:
exec open("../../build/build-env.py")
env = Environment()
# this function builds a trivial source file from a Cusp header
def trivial_source_from_header(... | ajibawa-2023/Python-Code-Large/train/row_97399 | 36 | 71 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97399:Import_L1_C0", "label": "os import os", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.0141, 0.0141, 0, 0.66, 0.0, 688, 0, 1, 0, 0, 688, 0, 0], "semantic": {"name": "os", "arg_names": [], "import_names": ["os"], "rhs_call_name": ""... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97399:Try_L8_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97399:Expr_L9_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97399:Try_L8_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97399:Expr_L11_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_9739... |
import os
import inspect
import glob
# try to import an environment first
try:
Import('env')
except:
exec open("../../build/build-env.py")
env = Environment()
# on mac we have to tell the linker to link against the C++ library
if env['PLATFORM'] == "darwin":
env.Append(LINKFLAGS = "-lstdc++")
# find all .cus... | ajibawa-2023/Python-Code-Large/train/row_97400 | 18 | 29 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97400:Import_L1_C0", "label": "os import os", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.0345, 0.0345, 0, 0.66, 0.0, 688, 0, 1, 0, 0, 688, 0, 0], "semantic": {"name": "os", "arg_names": [], "import_names": ["os"], "rhs_call_name": ""... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97400:Try_L6_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97400:Expr_L7_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97400:Try_L6_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97400:Expr_L9_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97400... |
import os
import inspect
import glob
# try to import an environment first
try:
Import('env')
except:
exec open("../../build/build-env.py")
env = Environment()
# on mac we have to tell the linker to link against the C++ library
if env['PLATFORM'] == "darwin":
env.Append(LINKFLAGS = "-lstdc++")
# find all .cus... | ajibawa-2023/Python-Code-Large/train/row_97401 | 18 | 29 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97401:Import_L1_C0", "label": "os import os", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.0345, 0.0345, 0, 0.66, 0.0, 688, 0, 1, 0, 0, 688, 0, 0], "semantic": {"name": "os", "arg_names": [], "import_names": ["os"], "rhs_call_name": ""... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97401:Try_L6_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97401:Expr_L7_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97401:Try_L6_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97401:Expr_L9_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97401... |
import os
import inspect
import glob
# try to import an environment first
try:
Import('env')
except:
exec open("../../build/build-env.py")
env = Environment()
# on mac we have to tell the linker to link against the C++ library
if env['PLATFORM'] == "darwin":
env.Append(LINKFLAGS = "-lstdc++")
# find all .cus... | ajibawa-2023/Python-Code-Large/train/row_97402 | 18 | 29 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97402:Import_L1_C0", "label": "os import os", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.0345, 0.0345, 0, 0.66, 0.0, 688, 0, 1, 0, 0, 688, 0, 0], "semantic": {"name": "os", "arg_names": [], "import_names": ["os"], "rhs_call_name": ""... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97402:Try_L6_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97402:Expr_L7_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97402:Try_L6_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97402:Expr_L9_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97402... |
import os
import inspect
import glob
# try to import an environment first
try:
Import('env')
except:
exec open("../../build/build-env.py")
env = Environment()
# on mac we have to tell the linker to link against the C++ library
if env['PLATFORM'] == "darwin":
env.Append(LINKFLAGS = "-lstdc++")
# find all .cus... | ajibawa-2023/Python-Code-Large/train/row_97403 | 18 | 29 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97403:Import_L1_C0", "label": "os import os", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.0345, 0.0345, 0, 0.66, 0.0, 688, 0, 1, 0, 0, 688, 0, 0], "semantic": {"name": "os", "arg_names": [], "import_names": ["os"], "rhs_call_name": ""... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97403:Try_L6_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97403:Expr_L7_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97403:Try_L6_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97403:Expr_L9_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97403... |
import os
import inspect
import glob
# try to import an environment first
try:
Import('env')
except:
exec open("../../build/build-env.py")
env = Environment()
# on mac we have to tell the linker to link against the C++ library
if env['PLATFORM'] == "darwin":
env.Append(LINKFLAGS = "-lstdc++")
# find all .cus... | ajibawa-2023/Python-Code-Large/train/row_97404 | 18 | 29 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97404:Import_L1_C0", "label": "os import os", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.0345, 0.0345, 0, 0.66, 0.0, 688, 0, 1, 0, 0, 688, 0, 0], "semantic": {"name": "os", "arg_names": [], "import_names": ["os"], "rhs_call_name": ""... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97404:Try_L6_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97404:Expr_L7_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97404:Try_L6_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97404:Expr_L9_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97404... |
#!/usr/bin/env python
import os,csv
device_id = '0' # index of the device to use
binary_filename = '../spmv' # command used to run the tests
output_file = 'benchmark_output.log' # file where results are stored
# The unstructured matrices are available online:
# http://www.nvidia.com/con... | ajibawa-2023/Python-Code-Large/train/row_97405 | 49 | 106 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97405:Import_L2_C0", "label": "os import os, csv", "type": "import", "loc": [2, 2], "level": 0, "parent": null, "vector": [1, 0, 0.0189, 0.0094, 0, 0.66, 0.0, 688, 0, 2, 0, 0, 688, 0, 0], "semantic": {"name": "os", "arg_names": [], "import_names": ["os", "csv"], "rhs_ca... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97405:FunctionDef_L43_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97405:Expr_L45_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97405:FunctionDef_L43_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97405:For_L48_C4"}, {"f": "ajibawa-2023/Python-Code-La... |
import os
import inspect
import glob
# try to import an environment first
try:
Import('env')
except:
exec open("../../build/build-env.py")
env = Environment()
# on mac we have to tell the linker to link against the C++ library
if env['PLATFORM'] == "darwin":
env.Append(LINKFLAGS = "-lstdc++")
# find all .cus... | ajibawa-2023/Python-Code-Large/train/row_97406 | 18 | 29 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97406:Import_L1_C0", "label": "os import os", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.0345, 0.0345, 0, 0.66, 0.0, 688, 0, 1, 0, 0, 688, 0, 0], "semantic": {"name": "os", "arg_names": [], "import_names": ["os"], "rhs_call_name": ""... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97406:Try_L6_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97406:Expr_L7_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97406:Try_L6_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97406:Expr_L9_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97406... |
import os
import inspect
import glob
# try to import an environment first
try:
Import('env')
except:
exec open("../../build/build-env.py")
env = Environment()
# on mac we have to tell the linker to link against the C++ library
if env['PLATFORM'] == "darwin":
env.Append(LINKFLAGS = "-lstdc++")
# find all .cus... | ajibawa-2023/Python-Code-Large/train/row_97407 | 18 | 29 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97407:Import_L1_C0", "label": "os import os", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.0345, 0.0345, 0, 0.66, 0.0, 688, 0, 1, 0, 0, 688, 0, 0], "semantic": {"name": "os", "arg_names": [], "import_names": ["os"], "rhs_call_name": ""... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97407:Try_L6_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97407:Expr_L7_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97407:Try_L6_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97407:Expr_L9_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97407... |
import os
import inspect
import glob
# try to import an environment first
try:
Import('env')
except:
exec open("../../build/build-env.py")
env = Environment()
# on mac we have to tell the linker to link against the C++ library
if env['PLATFORM'] == "darwin":
env.Append(LINKFLAGS = "-lstdc++")
# find all .cus... | ajibawa-2023/Python-Code-Large/train/row_97408 | 18 | 29 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97408:Import_L1_C0", "label": "os import os", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.0345, 0.0345, 0, 0.66, 0.0, 688, 0, 1, 0, 0, 688, 0, 0], "semantic": {"name": "os", "arg_names": [], "import_names": ["os"], "rhs_call_name": ""... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97408:Try_L6_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97408:Expr_L7_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97408:Try_L6_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97408:Expr_L9_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97408... |
#!/usr/bin/python
#
# Copyright 2012 Facebook
#
# 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 agre... | ajibawa-2023/Python-Code-Large/train/row_97409 | 4 | 5 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97409:Import_L1_C0", "label": "sys import sys", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.2, 0.2, 0, 0.66, 0.0, 509, 0, 1, 0, 0, 509, 0, 0], "semantic": {"name": "sys", "arg_names": [], "import_names": ["sys"], "rhs_call_name": "", ... | [] |
#!/usr/bin/python
#
# Copyright 2012 Facebook
#
# 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 agre... | ajibawa-2023/Python-Code-Large/train/row_97410 | 4 | 5 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97410:Import_L1_C0", "label": "sys import sys", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.2, 0.2, 0, 0.66, 0.0, 509, 0, 1, 0, 0, 509, 0, 0], "semantic": {"name": "sys", "arg_names": [], "import_names": ["sys"], "rhs_call_name": "", ... | [] |
#!/usr/bin/python
#
# Copyright 2012 Facebook
#
# 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 agre... | ajibawa-2023/Python-Code-Large/train/row_97411 | 4 | 5 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97411:Import_L1_C0", "label": "sys import sys", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.2, 0.2, 0, 0.66, 0.0, 509, 0, 1, 0, 0, 509, 0, 0], "semantic": {"name": "sys", "arg_names": [], "import_names": ["sys"], "rhs_call_name": "", ... | [] |
#!/usr/bin/python
#
# Copyright 2012 Facebook
#
# 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 agre... | ajibawa-2023/Python-Code-Large/train/row_97412 | 4 | 5 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97412:Import_L1_C0", "label": "sys import sys", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.2, 0.2, 0, 0.66, 0.0, 509, 0, 1, 0, 0, 509, 0, 0], "semantic": {"name": "sys", "arg_names": [], "import_names": ["sys"], "rhs_call_name": "", ... | [] |
#!/usr/bin/env python
import time
t = time.time()
u = time.gmtime(t)
s = time.strftime('%a, %e %b %Y %T GMT', u)
print 'Content-Type: text/javascript'
print 'Cache-Control: no-cache'
print 'Date: ' + s
print 'Expires: ' + s
print ''
print 'var timeskew = new Date().getTime() - ' + str(t*1000) + ';'
| ajibawa-2023/Python-Code-Large/train/row_97413 | 10 | 11 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97413:Import_L2_C0", "label": "time import time", "type": "import", "loc": [2, 2], "level": 0, "parent": null, "vector": [1, 0, 0.1818, 0.0909, 0, 0.66, 0.0, 654, 0, 1, 0, 0, 654, 0, 0], "semantic": {"name": "time", "arg_names": [], "import_names": ["time"], "rhs_call_n... | [] |
#!/usr/bin/python
#
# Copyright (C) 2012 Google Inc.
#
# 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 ... | ajibawa-2023/Python-Code-Large/train/row_97414 | 133 | 305 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97414:Assign_L17_C0", "label": "__author__ =", "type": "assigned_variable", "loc": [17, 17], "level": 0, "parent": null, "vector": [14, 0, 0.0557, 0.0033, 0, 0.66, 0.0, 777, 1, 0, 0, 0, 0, 3, 0], "semantic": {"name": "__author__", "arg_names": [], "import_names": [], "r... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97414:ClassDef_L45_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97414:Expr_L46_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97414:ClassDef_L45_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97414:Assign_L47_C2"}, {"f": "ajibawa-2023/Python-Code-Large... |
#!/usr/bin/python
#
# Copyright (C) 2012 Google Inc.
#
# 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 ... | ajibawa-2023/Python-Code-Large/train/row_97415 | 218 | 605 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97415:Assign_L17_C0", "label": "__author__ =", "type": "assigned_variable", "loc": [17, 17], "level": 0, "parent": null, "vector": [14, 0, 0.0281, 0.0017, 0, 0.66, 0.0, 777, 1, 0, 0, 0, 0, 3, 0], "semantic": {"name": "__author__", "arg_names": [], "import_names": [], "r... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97415:FunctionDef_L46_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97415:Expr_L47_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97415:FunctionDef_L46_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97415:Return_L54_C2"}, {"f": "ajibawa-2023/Python-Code... |
#!/usr/bin/env python
# Copyright (c) 2010, Google Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must retain the above copyright
# notice, this l... | ajibawa-2023/Python-Code-Large/train/row_97417 | 51 | 187 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97417:Expr_L32_C0", "label": "expression", "type": "expression", "loc": [32, 36], "level": 0, "parent": null, "vector": [8, 0, 0.1818, 0.0267, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "anno... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97417:ClassDef_L41_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97417:Expr_L42_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97417:ClassDef_L45_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97417:Expr_L46_C2"}, {"f": "ajibawa-2023/Python-Code-Large/t... |
#!/usr/bin/python2.4
# -*- coding: utf-8 -*-
#
# Copyright (C) 2011 Google Inc.
#
# 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 ... | ajibawa-2023/Python-Code-Large/train/row_97419 | 86 | 244 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97419:Import_L18_C0", "label": "base64 import base64", "type": "import", "loc": [18, 18], "level": 0, "parent": null, "vector": [1, 0, 0.0738, 0.0041, 0, 0.66, 0.0, 177, 0, 1, 0, 0, 177, 0, 0], "semantic": {"name": "base64", "arg_names": [], "import_names": ["base64"], ... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97419:ClassDef_L36_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97419:Expr_L37_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97419:ClassDef_L36_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97419:FunctionDef_L39_C2"}, {"f": "ajibawa-2023/Python-Code-... |
# Copyright 2011 Google Inc. All Rights Reserved.
"""Multi-credential file store with lock support.
This module implements a JSON credential store where multiple
credentials can be stored in one file. That file supports locking
both in a single process and across processes.
The credential themselves are keyed off o... | ajibawa-2023/Python-Code-Large/train/row_97421 | 155 | 378 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97421:Expr_L3_C0", "label": "expression", "type": "expression", "loc": [3, 30], "level": 0, "parent": null, "vector": [8, 0, 0.0437, 0.0741, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annota... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97421:ClassDef_L52_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97421:Expr_L53_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97421:ClassDef_L57_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97421:Expr_L58_C2"}, {"f": "ajibawa-2023/Python-Code-Large/t... |
# Copyright (C) 2010 Google Inc.
#
# 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 writ... | ajibawa-2023/Python-Code-Large/train/row_97422 | 7 | 32 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97422:Expr_L15_C0", "label": "expression", "type": "expression", "loc": [15, 19], "level": 0, "parent": null, "vector": [8, 0, 0.5312, 0.1562, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "anno... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97422:Try_L24_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97422:Import_L26_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97422:Try_L24_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97422:Try_L28_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_... |
# Copyright (C) 2010 Google Inc.
#
# 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 writ... | ajibawa-2023/Python-Code-Large/train/row_97424 | 396 | 1,139 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97424:Expr_L15_C0", "label": "expression", "type": "expression", "loc": [15, 18], "level": 0, "parent": null, "vector": [8, 0, 0.0145, 0.0035, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "anno... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97424:Try_L37_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97424:ImportFrom_L38_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97424:Try_L37_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97424:ImportFrom_L39_C2"}, {"f": "ajibawa-2023/Python-Code-Large... |
# Copyright (C) 2011 Google Inc.
#
# 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 writ... | ajibawa-2023/Python-Code-Large/train/row_97425 | 33 | 105 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97425:Expr_L15_C0", "label": "expression", "type": "expression", "loc": [15, 19], "level": 0, "parent": null, "vector": [8, 0, 0.1619, 0.0476, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "anno... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97425:ClassDef_L57_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97425:Expr_L58_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97425:ClassDef_L62_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97425:Expr_L63_C2"}, {"f": "ajibawa-2023/Python-Code-Large/t... |
# Copyright (C) 2010 Google Inc.
#
# 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 writ... | ajibawa-2023/Python-Code-Large/train/row_97426 | 46 | 106 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97426:Expr_L15_C0", "label": "expression", "type": "expression", "loc": [15, 19], "level": 0, "parent": null, "vector": [8, 0, 0.1604, 0.0472, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "anno... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97426:ClassDef_L32_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97426:Expr_L33_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97426:ClassDef_L32_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97426:FunctionDef_L35_C2"}, {"f": "ajibawa-2023/Python-Code-... |
__version__ = "1.0c2"
| ajibawa-2023/Python-Code-Large/train/row_97427 | 1 | 1 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97427:Assign_L1_C0", "label": "__version__ =", "type": "assigned_variable", "loc": [1, 1], "level": 0, "parent": null, "vector": [14, 0, 1.0, 1.0, 0, 0.66, 0.0, 162, 1, 0, 0, 0, 0, 3, 0], "semantic": {"name": "__version__", "arg_names": [], "import_names": [], "rhs_call... | [] |
# Copyright (C) 2010 Google Inc.
#
# 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 writ... | ajibawa-2023/Python-Code-Large/train/row_97428 | 63 | 124 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97428:Expr_L15_C0", "label": "expression", "type": "expression", "loc": [15, 19], "level": 0, "parent": null, "vector": [8, 0, 0.1371, 0.0403, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "anno... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97428:ClassDef_L30_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97428:Assign_L32_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97428:ClassDef_L30_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97428:FunctionDef_L34_C2"}, {"f": "ajibawa-2023/Python-Cod... |
# Copyright (C) 2007 Joe Gregorio
#
# Licensed under the MIT License
"""MIME-Type Parser
This module provides basic functions for handling mime-types. It can handle
matching mime-types against a list of media-ranges. See section 14.1 of the
HTTP specification [RFC 2616] for a complete explanation.
http://www.w3.o... | ajibawa-2023/Python-Code-Large/train/row_97430 | 57 | 172 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97430:Expr_L5_C0", "label": "expression", "type": "expression", "loc": [5, 23], "level": 0, "parent": null, "vector": [8, 0, 0.0814, 0.1105, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annota... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97430:FunctionDef_L32_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97430:Expr_L33_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97430:FunctionDef_L32_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97430:Assign_L42_C4"}, {"f": "ajibawa-2023/Python-Code... |
# Copyright (C) 2010 Google Inc.
#
# 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 writ... | ajibawa-2023/Python-Code-Large/train/row_97431 | 114 | 303 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97431:Expr_L15_C0", "label": "expression", "type": "expression", "loc": [15, 58], "level": 0, "parent": null, "vector": [8, 0, 0.1205, 0.1452, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "anno... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97431:ClassDef_L68_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97431:Expr_L69_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97431:ClassDef_L68_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97431:FunctionDef_L71_C2"}, {"f": "ajibawa-2023/Python-Code-... |
# Copyright (C) 2010 Google Inc.
#
# 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 writ... | ajibawa-2023/Python-Code-Large/train/row_97432 | 7 | 32 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97432:Expr_L15_C0", "label": "expression", "type": "expression", "loc": [15, 19], "level": 0, "parent": null, "vector": [8, 0, 0.5312, 0.1562, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "anno... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97432:Try_L24_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97432:Import_L25_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97432:Try_L24_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97432:Try_L27_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_... |
# Copyright (C) 2010 Google Inc.
#
# 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 writ... | ajibawa-2023/Python-Code-Large/train/row_97433 | 201 | 483 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97433:Expr_L15_C0", "label": "expression", "type": "expression", "loc": [15, 18], "level": 0, "parent": null, "vector": [8, 0, 0.0342, 0.0083, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "anno... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97433:Try_L31_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97433:ImportFrom_L32_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97433:Try_L31_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97433:ImportFrom_L34_C2"}, {"f": "ajibawa-2023/Python-Code-Large... |
# Copyright (C) 2010 Google Inc.
#
# 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 writ... | ajibawa-2023/Python-Code-Large/train/row_97435 | 55 | 135 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97435:Expr_L15_C0", "label": "expression", "type": "expression", "loc": [15, 19], "level": 0, "parent": null, "vector": [8, 0, 0.1259, 0.037, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annot... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97435:ClassDef_L30_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97435:Expr_L31_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97435:ClassDef_L30_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97435:Assign_L36_C2"}, {"f": "ajibawa-2023/Python-Code-Large... |
# Copyright (C) 2010 Google Inc.
#
# 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 writ... | ajibawa-2023/Python-Code-Large/train/row_97437 | 28 | 63 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97437:Expr_L15_C0", "label": "expression", "type": "expression", "loc": [15, 18], "level": 0, "parent": null, "vector": [8, 0, 0.2619, 0.0635, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "anno... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97437:ClassDef_L28_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97437:Expr_L29_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97437:ClassDef_L28_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97437:FunctionDef_L31_C2"}, {"f": "ajibawa-2023/Python-Code-... |
# Copyright (C) 2010 Google Inc.
#
# 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 writ... | ajibawa-2023/Python-Code-Large/train/row_97438 | 29 | 56 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97438:Import_L15_C0", "label": "apiclient import apiclient", "type": "import", "loc": [15, 15], "level": 0, "parent": null, "vector": [1, 0, 0.2679, 0.0179, 0, 0.66, 0.0, 629, 0, 1, 0, 0, 629, 0, 0], "semantic": {"name": "apiclient", "arg_names": [], "import_names": ["a... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97438:ClassDef_L22_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97438:Assign_L24_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97438:ClassDef_L22_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97438:FunctionDef_L26_C2"}, {"f": "ajibawa-2023/Python-Cod... |
__version__ = "1.0c2"
| ajibawa-2023/Python-Code-Large/train/row_97439 | 1 | 1 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97439:Assign_L1_C0", "label": "__version__ =", "type": "assigned_variable", "loc": [1, 1], "level": 0, "parent": null, "vector": [14, 0, 1.0, 1.0, 0, 0.66, 0.0, 162, 1, 0, 0, 0, 0, 3, 0], "semantic": {"name": "__version__", "arg_names": [], "import_names": [], "rhs_call... | [] |
#!/usr/bin/python2.4
#
# Copyright (C) 2010 Google Inc.
#
# 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 l... | ajibawa-2023/Python-Code-Large/train/row_97440 | 154 | 385 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97440:Expr_L17_C0", "label": "expression", "type": "expression", "loc": [17, 23], "level": 0, "parent": null, "vector": [8, 0, 0.0519, 0.0182, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "anno... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97440:ClassDef_L45_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97440:Expr_L46_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97440:ClassDef_L45_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97440:FunctionDef_L53_C2"}, {"f": "ajibawa-2023/Python-Code-... |
#!/usr/bin/python2.4
#
# Copyright (C) 2010 Google Inc.
#
# 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 l... | ajibawa-2023/Python-Code-Large/train/row_97441 | 56 | 123 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97441:Expr_L17_C0", "label": "expression", "type": "expression", "loc": [17, 21], "level": 0, "parent": null, "vector": [8, 0, 0.1545, 0.0407, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "anno... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97441:ClassDef_L29_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97441:Expr_L30_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97441:ClassDef_L34_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97441:Expr_L35_C2"}, {"f": "ajibawa-2023/Python-Code-Large/t... |
"""
iri2uri
Converts an IRI to a URI.
"""
__author__ = "Joe Gregorio (joe@bitworking.org)"
__copyright__ = "Copyright 2006, Joe Gregorio"
__contributors__ = []
__version__ = "1.0.0"
__license__ = "MIT"
__history__ = """
"""
import urlparse
# Convert an IRI to a URI following the rules in RFC 3987
#
# The characte... | ajibawa-2023/Python-Code-Large/train/row_97442 | 43 | 110 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97442:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 6], "level": 0, "parent": null, "vector": [8, 0, 0.0318, 0.0545, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotat... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97442:FunctionDef_L53_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97442:Assign_L54_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97442:FunctionDef_L53_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97442:Assign_L55_C4"}, {"f": "ajibawa-2023/Python-Co... |
"""SocksiPy - Python SOCKS module.
Version 1.00
Copyright 2006 Dan-Haim. All rights reserved.
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice, this
... | ajibawa-2023/Python-Code-Large/train/row_97444 | 213 | 438 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97444:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 31], "level": 0, "parent": null, "vector": [8, 0, 0.0365, 0.0708, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annota... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97444:FunctionDef_L96_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97444:Expr_L97_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97444:FunctionDef_L96_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97444:Assign_L102_C4"}, {"f": "ajibawa-2023/Python-Cod... |
import Cookie
import datetime
import time
import email.utils
import calendar
import base64
import hashlib
import hmac
import re
import logging
# Ripped from the Tornado Framework's web.py
# http://github.com/facebook/tornado/commit/39ac6d169a36a54bb1f6b9bf1fdebb5c9da96e09
#
# Tornado is licensed under the Apache Licen... | ajibawa-2023/Python-Code-Large/train/row_97445 | 115 | 168 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97445:Import_L1_C0", "label": "Cookie import Cookie", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.006, 0.006, 0, 0.66, 0.0, 32, 0, 1, 0, 0, 32, 0, 0], "semantic": {"name": "Cookie", "arg_names": [], "import_names": ["Cookie"], "rhs_ca... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97445:ClassDef_L23_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97445:FunctionDef_L26_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97445:FunctionDef_L26_C2", "t": "ajibawa-2023/Python-Code-Large/train/row_97445:If_L27_C4"}, {"f": "ajibawa-2023/Python-Code... |
# This is the version of this source code.
manual_verstr = "1.5"
auto_build_num = "211"
verstr = manual_verstr + "." + auto_build_num
try:
from pyutil.version_class import Version as pyutil_Version
__version__ = pyutil_Version(verstr)
except (ImportError, ValueError):
# Maybe there is no pyutil insta... | ajibawa-2023/Python-Code-Large/train/row_97446 | 8 | 18 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97446:Assign_L3_C0", "label": "manual_verstr =", "type": "assigned_variable", "loc": [3, 3], "level": 0, "parent": null, "vector": [14, 0, 0.1667, 0.0556, 0, 0.66, 0.0, 189, 1, 0, 0, 0, 0, 3, 0], "semantic": {"name": "manual_verstr", "arg_names": [], "import_names": [],... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97446:Try_L12_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97446:ImportFrom_L13_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97446:Try_L12_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97446:Assign_L14_C4"}, {"f": "ajibawa-2023/Python-Code-Large/tra... |
"""
The MIT License
Copyright (c) 2007-2010 Leah Culver, Joe Stump, Mark Paschal, Vic Fryzel
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the ... | ajibawa-2023/Python-Code-Large/train/row_97447 | 10 | 41 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97447:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 23], "level": 0, "parent": null, "vector": [8, 0, 0.2927, 0.561, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotat... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97447:ClassDef_L30_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97447:Expr_L31_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97447:ClassDef_L30_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97447:FunctionDef_L33_C4"}, {"f": "ajibawa-2023/Python-Code-... |
"""
The MIT License
Copyright (c) 2007-2010 Leah Culver, Joe Stump, Mark Paschal, Vic Fryzel
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the ... | ajibawa-2023/Python-Code-Large/train/row_97448 | 9 | 40 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97448:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 23], "level": 0, "parent": null, "vector": [8, 0, 0.3, 0.575, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotation... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97448:ClassDef_L29_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97448:Expr_L30_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97448:ClassDef_L29_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97448:FunctionDef_L32_C4"}, {"f": "ajibawa-2023/Python-Code-... |
# Early, and incomplete implementation of -04.
#
import re
import urllib
RESERVED = ":/?#[]@!$&'()*+,;="
OPERATOR = "+./;?|!@"
EXPLODE = "*+"
MODIFIER = ":^"
TEMPLATE = re.compile(r"{(?P<operator>[\+\./;\?|!@])?(?P<varlist>[^}]+)}", re.UNICODE)
VAR = re.compile(r"^(?P<varname>[^=\+\*:\^]+)((?P<explode>[\+\*])|(?P<part... | ajibawa-2023/Python-Code-Large/train/row_97450 | 112 | 147 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97450:Import_L3_C0", "label": "re import re", "type": "import", "loc": [3, 3], "level": 0, "parent": null, "vector": [1, 0, 0.0204, 0.0068, 0, 0.66, 0.0, 540, 0, 1, 0, 0, 540, 0, 0], "semantic": {"name": "re", "arg_names": [], "import_names": ["re"], "rhs_call_name": ""... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97450:FunctionDef_L13_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97450:If_L14_C2"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97450:If_L14_C2", "t": "ajibawa-2023/Python-Code-Large/train/row_97450:If_L15_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/ro... |
#====================================================================
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you ... | ajibawa-2023/Python-Code-Large/train/row_97451 | 38 | 74 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97451:Import_L26_C0", "label": "os import os", "type": "import", "loc": [26, 26], "level": 0, "parent": null, "vector": [1, 0, 0.3514, 0.0135, 0, 0.66, 0.0, 688, 0, 1, 0, 0, 688, 0, 0], "semantic": {"name": "os", "arg_names": [], "import_names": ["os"], "rhs_call_name":... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97451:FunctionDef_L35_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97451:Assign_L36_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97451:FunctionDef_L35_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97451:For_L37_C4"}, {"f": "ajibawa-2023/Python-Code-... |
import sys, os, popen2
def cmd(comando):
out = popen2.popen3(comando)
try:
return out[0].read()
except:
print "Imposible de ejecutar Comando: <"+comando+">"
print
raw_input("Nos vemos luego, enter para salir")
sys.exit(1)
def cargar():
directoriosTest = cmd("cd .. && ls Source/*Tests/bin/Debug/*.Tests.... | ajibawa-2023/Python-Code-Large/train/row_97453 | 86 | 118 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97453:Import_L1_C0", "label": "sys import sys, os, popen2", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.0085, 0.0085, 0, 0.66, 0.0, 509, 0, 3, 0, 0, 509, 0, 0], "semantic": {"name": "sys", "arg_names": [], "import_names": ["sys", "os"... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97453:FunctionDef_L3_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97453:Assign_L4_C1"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97453:FunctionDef_L3_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97453:Try_L5_C1"}, {"f": "ajibawa-2023/Python-Code-Larg... |
#!/usr/bin/env python
# coding: utf-8
from matplotlib.pyplot import *
fin=open('time_err.dat')
fin2=open('time_err_n3.dat')
todo=fin.read().split('\n')
todo2=fin2.read().split('\n')
xs=[float(x.split()[0]) for x in todo if x]
ys=[float(x.split()[1]) for x in todo if x]
ys2=[float(x.split()[1]) for x in todo2 if x]
yer... | ajibawa-2023/Python-Code-Large/train/row_97454 | 19 | 23 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97454:ImportFrom_L3_C0", "label": "from matplotlib.pyplot import *", "type": "import", "loc": [3, 3], "level": 0, "parent": null, "vector": [1, 0, 0.1304, 0.0435, 0, 0.66, 0.0, 596, 0, 1, 0, 0, 596, 0, 0], "semantic": {"name": "matplotlib.pyplot", "arg_names": [], "impo... | [] |
#!/usr/bin/env python
# coding: utf-8
from matplotlib.pyplot import *
fin=open('time_err.dat')
todo=fin.read().split('\n')
xs=[float(x.split()[0]) for x in todo if x]
ys=[float(x.split()[1]) for x in todo if x]
yerr=[float(x.split()[2]) for x in todo if x]
title("Tiempo de ejecucion de $cw$")
xlabel("Cantidad de Perso... | ajibawa-2023/Python-Code-Large/train/row_97455 | 15 | 18 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97455:ImportFrom_L3_C0", "label": "from matplotlib.pyplot import *", "type": "import", "loc": [3, 3], "level": 0, "parent": null, "vector": [1, 0, 0.1667, 0.0556, 0, 0.66, 0.0, 596, 0, 1, 0, 0, 596, 0, 0], "semantic": {"name": "matplotlib.pyplot", "arg_names": [], "impo... | [] |
#!/usr/bin/env python
# coding: utf-8
from matplotlib.pyplot import *
fin=open('time_err.dat')
fin2=open('time_err_n3.dat')
todo=fin.read().split('\n')
todo2=fin2.read().split('\n')
xs=[float(x.split()[0]) for x in todo if x]
ys=[float(x.split()[1]) for x in todo if x]
ys2=[float(x.split()[1]) for x in todo2 if x]
yer... | ajibawa-2023/Python-Code-Large/train/row_97456 | 19 | 23 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97456:ImportFrom_L3_C0", "label": "from matplotlib.pyplot import *", "type": "import", "loc": [3, 3], "level": 0, "parent": null, "vector": [1, 0, 0.1304, 0.0435, 0, 0.66, 0.0, 596, 0, 1, 0, 0, 596, 0, 0], "semantic": {"name": "matplotlib.pyplot", "arg_names": [], "impo... | [] |
#!/usr/bin/env python
# coding: utf-8
from matplotlib.pyplot import *
fin=open('counts.dat')
todo=fin.read().split('\n')
xs=[int(x.split()[0]) for x in todo if x]
ys=[int(x.split()[1]) for x in todo if x]
title("Cantidad de operaciones de $cw$")
xlabel("Cantidad de Personas")
ylabel("Cantidad de operaciones")
plot(xs,... | ajibawa-2023/Python-Code-Large/train/row_97457 | 14 | 17 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97457:ImportFrom_L3_C0", "label": "from matplotlib.pyplot import *", "type": "import", "loc": [3, 3], "level": 0, "parent": null, "vector": [1, 0, 0.1765, 0.0588, 0, 0.66, 0.0, 596, 0, 1, 0, 0, 596, 0, 0], "semantic": {"name": "matplotlib.pyplot", "arg_names": [], "impo... | [] |
#!/usr/bin/env python
import getopt,sys
import subprocess
from random import random,randint,seed
from math import sqrt
seed(1234) # defino el seed para hacer el experimento reproducible
ejecutable="cw"
tamanios_entrada=sorted(range(1,45)*2)
def prueba(tamanio_entrada):
out=str(tamanio_entrada)
for i in range(tamani... | ajibawa-2023/Python-Code-Large/train/row_97458 | 22 | 26 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97458:Import_L1_C0", "label": "getopt import getopt, sys", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.0385, 0.0385, 0, 0.66, 0.0, 588, 0, 2, 0, 0, 588, 0, 0], "semantic": {"name": "getopt", "arg_names": [], "import_names": ["getopt",... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97458:FunctionDef_L5_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97458:Assign_L6_C1"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97458:FunctionDef_L5_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97458:For_L7_C1"}, {"f": "ajibawa-2023/Python-Code-Larg... |
#!/usr/bin/env python
import getopt,sys
import subprocess
from random import random,randint,seed
from math import sqrt
seed(1234) # defino el seed para hacer el experimento reproducible
ejecutable="cw_n3"
tamanios_entrada=sorted(range(1,45)*2)
def prueba(tamanio_entrada):
out=str(tamanio_entrada)
for i in range(tam... | ajibawa-2023/Python-Code-Large/train/row_97459 | 22 | 26 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97459:Import_L1_C0", "label": "getopt import getopt, sys", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.0385, 0.0385, 0, 0.66, 0.0, 588, 0, 2, 0, 0, 588, 0, 0], "semantic": {"name": "getopt", "arg_names": [], "import_names": ["getopt",... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97459:FunctionDef_L5_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97459:Assign_L6_C1"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97459:FunctionDef_L5_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97459:For_L7_C1"}, {"f": "ajibawa-2023/Python-Code-Larg... |
#!/usr/bin/env python
# coding: utf-8
from matplotlib.pyplot import *
fin2=open('time_err_n3.dat')
todo2=fin2.read().split('\n')
xs=[float(x.split()[0]) for x in todo2 if x]
ys2=[float(x.split()[1]) for x in todo2 if x]
yerr2=[float(x.split()[2]) for x in todo2 if x]
title("Tiempo de ejecución de algoritmo cubico de $... | ajibawa-2023/Python-Code-Large/train/row_97460 | 14 | 18 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97460:ImportFrom_L3_C0", "label": "from matplotlib.pyplot import *", "type": "import", "loc": [3, 3], "level": 0, "parent": null, "vector": [1, 0, 0.1667, 0.0556, 0, 0.66, 0.0, 596, 0, 1, 0, 0, 596, 0, 0], "semantic": {"name": "matplotlib.pyplot", "arg_names": [], "impo... | [] |
#!/usr/bin/env python
# coding: utf-8
from matplotlib.pyplot import *
fin2=open('time_err_n3.dat')
todo2=fin2.read().split('\n')
xs=[float(x.split()[0]) for x in todo2 if x]
ys2=[float(x.split()[1]) for x in todo2 if x]
yerr2=[float(x.split()[2]) for x in todo2 if x]
title("Tiempo de ejecución de algoritmo cubico de $... | ajibawa-2023/Python-Code-Large/train/row_97461 | 14 | 18 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97461:ImportFrom_L3_C0", "label": "from matplotlib.pyplot import *", "type": "import", "loc": [3, 3], "level": 0, "parent": null, "vector": [1, 0, 0.1667, 0.0556, 0, 0.66, 0.0, 596, 0, 1, 0, 0, 596, 0, 0], "semantic": {"name": "matplotlib.pyplot", "arg_names": [], "impo... | [] |
#!/usr/bin/env python
import getopt,sys
import subprocess
from random import random,randint,seed
from math import sqrt
seed(1234) # defino el seed para hacer el experimento reproducible
ejecutable="cw"
tamanios_entrada=sorted(range(1,45)*2)
def prueba(tamanio_entrada):
out=str(tamanio_entrada)
for i in range(tamani... | ajibawa-2023/Python-Code-Large/train/row_97462 | 22 | 26 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97462:Import_L1_C0", "label": "getopt import getopt, sys", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.0385, 0.0385, 0, 0.66, 0.0, 588, 0, 2, 0, 0, 588, 0, 0], "semantic": {"name": "getopt", "arg_names": [], "import_names": ["getopt",... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97462:FunctionDef_L5_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97462:Assign_L6_C1"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97462:FunctionDef_L5_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97462:For_L7_C1"}, {"f": "ajibawa-2023/Python-Code-Larg... |
#!/usr/bin/env python
# coding: utf-8
from matplotlib.pyplot import *
fin=open('time_err.dat')
todo=fin.read().split('\n')
xs=[float(x.split()[0]) for x in todo if x]
ys=[float(x.split()[1]) for x in todo if x]
yerr=[float(x.split()[2]) for x in todo if x]
title("Tiempo de ejecucion de $cw$")
xlabel("Cantidad de Perso... | ajibawa-2023/Python-Code-Large/train/row_97463 | 15 | 18 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97463:ImportFrom_L3_C0", "label": "from matplotlib.pyplot import *", "type": "import", "loc": [3, 3], "level": 0, "parent": null, "vector": [1, 0, 0.1667, 0.0556, 0, 0.66, 0.0, 596, 0, 1, 0, 0, 596, 0, 0], "semantic": {"name": "matplotlib.pyplot", "arg_names": [], "impo... | [] |
#!/usr/bin/env python
# coding: utf-8
from matplotlib.pyplot import *
fin=open('counts.dat')
todo=fin.read().split('\n')
xs=[int(x.split()[0]) for x in todo if x]
ys=[int(x.split()[1]) for x in todo if x]
title("Cantidad de operaciones de $cw$")
xlabel("Cantidad de Personas")
ylabel("Cantidad de operaciones")
plot(xs,... | ajibawa-2023/Python-Code-Large/train/row_97464 | 14 | 17 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97464:ImportFrom_L3_C0", "label": "from matplotlib.pyplot import *", "type": "import", "loc": [3, 3], "level": 0, "parent": null, "vector": [1, 0, 0.1765, 0.0588, 0, 0.66, 0.0, 596, 0, 1, 0, 0, 596, 0, 0], "semantic": {"name": "matplotlib.pyplot", "arg_names": [], "impo... | [] |
#!/usr/bin/env python
# coding: utf-8
from matplotlib.pyplot import *
fin=open('time_err.dat')
todo=fin.read().split('\n')
xs=[float(x.split()[0]) for x in todo if x]
ys=[float(x.split()[1]) for x in todo if x]
yerr=[float(x.split()[2]) for x in todo if x]
title("Tiempo de ejecucion de $matching$")
xlabel("Tamano de e... | ajibawa-2023/Python-Code-Large/train/row_97465 | 14 | 17 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97465:ImportFrom_L3_C0", "label": "from matplotlib.pyplot import *", "type": "import", "loc": [3, 3], "level": 0, "parent": null, "vector": [1, 0, 0.1765, 0.0588, 0, 0.66, 0.0, 596, 0, 1, 0, 0, 596, 0, 0], "semantic": {"name": "matplotlib.pyplot", "arg_names": [], "impo... | [] |
#!/usr/bin/env python
# coding: utf-8
from matplotlib.pyplot import *
fin=open('counts.dat')
todo=fin.read().split('\n')
xs=[int(x.split()[0]) for x in todo if x]
ys=[int(x.split()[1]) for x in todo if x]
title("Cantidad de operaciones de $matching$")
xlabel("Tamano de entrada")
ylabel("Cantidad de operaciones")
plot(... | ajibawa-2023/Python-Code-Large/train/row_97466 | 13 | 16 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97466:ImportFrom_L3_C0", "label": "from matplotlib.pyplot import *", "type": "import", "loc": [3, 3], "level": 0, "parent": null, "vector": [1, 0, 0.1875, 0.0625, 0, 0.66, 0.0, 596, 0, 1, 0, 0, 596, 0, 0], "semantic": {"name": "matplotlib.pyplot", "arg_names": [], "impo... | [] |
#!/usr/bin/env python
import getopt,sys
import subprocess
from random import random,randint,seed
from math import sqrt
seed(1234) # defino el seed para hacer el experimento reproducible
ejecutable="matching"
tamanios_entrada=sorted(range(3,300)[::5])
def prueba(tamanio_entrada):
return str(tamanio_entrada)+' '+' '.j... | ajibawa-2023/Python-Code-Large/train/row_97467 | 19 | 21 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97467:Import_L1_C0", "label": "getopt import getopt, sys", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.0476, 0.0476, 0, 0.66, 0.0, 588, 0, 2, 0, 0, 588, 0, 0], "semantic": {"name": "getopt", "arg_names": [], "import_names": ["getopt",... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97467:FunctionDef_L5_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97467:Return_L6_C1"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97467:FunctionDef_L7_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97467:Assign_L8_C1"}, {"f": "ajibawa-2023/Python-Code-L... |
#!/usr/bin/env python
import getopt,sys
import subprocess
from random import random,randint,seed
from math import sqrt
seed(1234) # defino el seed para hacer el experimento reproducible
ejecutable="matching"
tamanios_entrada=sorted(range(3,300)[::5])
def prueba(tamanio_entrada):
return str(tamanio_entrada)+' '+' '.j... | ajibawa-2023/Python-Code-Large/train/row_97468 | 19 | 21 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97468:Import_L1_C0", "label": "getopt import getopt, sys", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.0476, 0.0476, 0, 0.66, 0.0, 588, 0, 2, 0, 0, 588, 0, 0], "semantic": {"name": "getopt", "arg_names": [], "import_names": ["getopt",... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97468:FunctionDef_L5_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97468:Return_L6_C1"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97468:FunctionDef_L7_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97468:Assign_L8_C1"}, {"f": "ajibawa-2023/Python-Code-L... |
#!/usr/bin/env python
# coding: utf-8
from matplotlib.pyplot import *
fin=open('time_err.dat')
todo=fin.read().split('\n')
xs=[float(x.split()[0]) for x in todo if x]
ys=[float(x.split()[1]) for x in todo if x]
yerr=[float(x.split()[2]) for x in todo if x]
title("Tiempo de ejecucion de $matching$")
xlabel("Tamano de e... | ajibawa-2023/Python-Code-Large/train/row_97469 | 14 | 17 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97469:ImportFrom_L3_C0", "label": "from matplotlib.pyplot import *", "type": "import", "loc": [3, 3], "level": 0, "parent": null, "vector": [1, 0, 0.1765, 0.0588, 0, 0.66, 0.0, 596, 0, 1, 0, 0, 596, 0, 0], "semantic": {"name": "matplotlib.pyplot", "arg_names": [], "impo... | [] |
#!/usr/bin/env python
# coding: utf-8
from matplotlib.pyplot import *
fin=open('counts.dat')
todo=fin.read().split('\n')
xs=[int(x.split()[0]) for x in todo if x]
ys=[int(x.split()[1]) for x in todo if x]
title("Cantidad de operaciones de $matching$")
xlabel("Tamano de entrada")
ylabel("Cantidad de operaciones")
plot(... | ajibawa-2023/Python-Code-Large/train/row_97470 | 13 | 16 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97470:ImportFrom_L3_C0", "label": "from matplotlib.pyplot import *", "type": "import", "loc": [3, 3], "level": 0, "parent": null, "vector": [1, 0, 0.1875, 0.0625, 0, 0.66, 0.0, 596, 0, 1, 0, 0, 596, 0, 0], "semantic": {"name": "matplotlib.pyplot", "arg_names": [], "impo... | [] |
#!/usr/bin/env python
from Tkinter import *
from random import *
from math import sqrt
import subprocess
def prueba(tamanio_entrada):
cant=int(random()*tamanio_entrada)
w=randint(3,int(2*sqrt(tamanio_entrada)))
h=tamanio_entrada/w
vs=[]
for v in range(cant):
orient=choice(['-','|'])
if orient=='|':
l=rand... | ajibawa-2023/Python-Code-Large/train/row_97471 | 59 | 74 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97471:ImportFrom_L3_C0", "label": "from Tkinter import *", "type": "import", "loc": [3, 3], "level": 0, "parent": null, "vector": [1, 0, 0.0405, 0.0135, 0, 0.66, 0.0, 368, 0, 1, 0, 0, 368, 0, 0], "semantic": {"name": "Tkinter", "arg_names": [], "import_names": ["*"], "r... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97471:FunctionDef_L8_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97471:Assign_L9_C1"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97471:FunctionDef_L8_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97471:Assign_L10_C1"}, {"f": "ajibawa-2023/Python-Code-... |
#!/usr/bin/env python
# coding: utf-8
from matplotlib.pyplot import *
fin=open('time_err.dat')
todo=fin.read().split('\n')
xs=[float(x.split()[0]) for x in todo if x]
ys=[float(x.split()[1]) for x in todo if x]
yerr=[float(x.split()[2]) for x in todo if x]
title("Tiempo de ejecucion de $flood$")
xlabel("Tamano de entr... | ajibawa-2023/Python-Code-Large/train/row_97472 | 14 | 17 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97472:ImportFrom_L3_C0", "label": "from matplotlib.pyplot import *", "type": "import", "loc": [3, 3], "level": 0, "parent": null, "vector": [1, 0, 0.1765, 0.0588, 0, 0.66, 0.0, 596, 0, 1, 0, 0, 596, 0, 0], "semantic": {"name": "matplotlib.pyplot", "arg_names": [], "impo... | [] |
#!/usr/bin/env python
# coding: utf-8
from matplotlib.pyplot import *
fin=open('counts.dat')
todo=fin.read().split('\n')
xs=[int(x.split()[0]) for x in todo if x]
ys=[int(x.split()[1]) for x in todo if x]
title("Cantidad de operaciones de $flood$")
xlabel("Tamano de entrada")
ylabel("Cantidad de operaciones")
plot(xs,... | ajibawa-2023/Python-Code-Large/train/row_97473 | 13 | 16 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97473:ImportFrom_L3_C0", "label": "from matplotlib.pyplot import *", "type": "import", "loc": [3, 3], "level": 0, "parent": null, "vector": [1, 0, 0.1875, 0.0625, 0, 0.66, 0.0, 596, 0, 1, 0, 0, 596, 0, 0], "semantic": {"name": "matplotlib.pyplot", "arg_names": [], "impo... | [] |
#!/usr/bin/env python
import getopt,sys
import subprocess
from random import random,randint,seed,choice
from math import sqrt
seed(1234) # defino el seed para hacer el experimento reproducible
ejecutable="flood"
tamanios_entrada=sorted(range(100,5000)[::35])
def prueba(tamanio_entrada):
cant=int(random()*tamanio_en... | ajibawa-2023/Python-Code-Large/train/row_97474 | 41 | 42 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97474:Import_L1_C0", "label": "getopt import getopt, sys", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.0238, 0.0238, 0, 0.66, 0.0, 588, 0, 2, 0, 0, 588, 0, 0], "semantic": {"name": "getopt", "arg_names": [], "import_names": ["getopt",... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97474:FunctionDef_L5_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97474:Assign_L6_C1"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97474:FunctionDef_L5_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97474:Assign_L7_C1"}, {"f": "ajibawa-2023/Python-Code-L... |
#!/usr/bin/env python
import getopt,sys
import subprocess
from random import random,randint,seed,choice
from math import sqrt
seed(1234) # defino el seed para hacer el experimento reproducible
ejecutable="flood"
tamanios_entrada=sorted(range(100,5000)[::35])
def prueba(tamanio_entrada):
cant=int(random()*tamanio_en... | ajibawa-2023/Python-Code-Large/train/row_97475 | 41 | 42 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97475:Import_L1_C0", "label": "getopt import getopt, sys", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.0238, 0.0238, 0, 0.66, 0.0, 588, 0, 2, 0, 0, 588, 0, 0], "semantic": {"name": "getopt", "arg_names": [], "import_names": ["getopt",... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97475:FunctionDef_L5_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97475:Assign_L6_C1"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97475:FunctionDef_L5_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97475:Assign_L7_C1"}, {"f": "ajibawa-2023/Python-Code-L... |
#!/usr/bin/env python
# coding: utf-8
from matplotlib.pyplot import *
fin=open('time_err.dat')
todo=fin.read().split('\n')
xs=[float(x.split()[0]) for x in todo if x]
ys=[float(x.split()[1]) for x in todo if x]
yerr=[float(x.split()[2]) for x in todo if x]
title("Tiempo de ejecucion de $flood$")
xlabel("Tamano de entr... | ajibawa-2023/Python-Code-Large/train/row_97476 | 14 | 17 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97476:ImportFrom_L3_C0", "label": "from matplotlib.pyplot import *", "type": "import", "loc": [3, 3], "level": 0, "parent": null, "vector": [1, 0, 0.1765, 0.0588, 0, 0.66, 0.0, 596, 0, 1, 0, 0, 596, 0, 0], "semantic": {"name": "matplotlib.pyplot", "arg_names": [], "impo... | [] |
#!/usr/bin/env python
from Tkinter import *
from random import *
from math import sqrt
import subprocess
def prueba(tamanio_entrada):
cant=int(random()*tamanio_entrada)
w=randint(3,int(2*sqrt(tamanio_entrada)))
h=tamanio_entrada/w
vs=[]
for v in range(cant):
orient=choice(['-','|'])
if orient=='|':
l=rand... | ajibawa-2023/Python-Code-Large/train/row_97477 | 59 | 74 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97477:ImportFrom_L3_C0", "label": "from Tkinter import *", "type": "import", "loc": [3, 3], "level": 0, "parent": null, "vector": [1, 0, 0.0405, 0.0135, 0, 0.66, 0.0, 368, 0, 1, 0, 0, 368, 0, 0], "semantic": {"name": "Tkinter", "arg_names": [], "import_names": ["*"], "r... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_97477:FunctionDef_L8_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97477:Assign_L9_C1"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_97477:FunctionDef_L8_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_97477:Assign_L10_C1"}, {"f": "ajibawa-2023/Python-Code-... |
#!/usr/bin/env python
# coding: utf-8
from matplotlib.pyplot import *
fin=open('counts.dat')
todo=fin.read().split('\n')
xs=[int(x.split()[0]) for x in todo if x]
ys=[int(x.split()[1]) for x in todo if x]
title("Cantidad de operaciones de $flood$")
xlabel("Tamano de entrada")
ylabel("Cantidad de operaciones")
plot(xs,... | ajibawa-2023/Python-Code-Large/train/row_97478 | 13 | 16 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_97478:ImportFrom_L3_C0", "label": "from matplotlib.pyplot import *", "type": "import", "loc": [3, 3], "level": 0, "parent": null, "vector": [1, 0, 0.1875, 0.0625, 0, 0.66, 0.0, 596, 0, 1, 0, 0, 596, 0, 0], "semantic": {"name": "matplotlib.pyplot", "arg_names": [], "impo... | [] |
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