hexsha string | size int64 | ext string | lang string | max_stars_repo_path string | max_stars_repo_name string | max_stars_repo_head_hexsha string | max_stars_repo_licenses list | max_stars_count int64 | max_stars_repo_stars_event_min_datetime string | max_stars_repo_stars_event_max_datetime string | max_issues_repo_path string | max_issues_repo_name string | max_issues_repo_head_hexsha string | max_issues_repo_licenses list | max_issues_count int64 | max_issues_repo_issues_event_min_datetime string | max_issues_repo_issues_event_max_datetime string | max_forks_repo_path string | max_forks_repo_name string | max_forks_repo_head_hexsha string | max_forks_repo_licenses list | max_forks_count int64 | max_forks_repo_forks_event_min_datetime string | max_forks_repo_forks_event_max_datetime string | content string | avg_line_length float64 | max_line_length int64 | alphanum_fraction float64 | qsc_code_num_words_quality_signal int64 | qsc_code_num_chars_quality_signal float64 | qsc_code_mean_word_length_quality_signal float64 | qsc_code_frac_words_unique_quality_signal float64 | qsc_code_frac_chars_top_2grams_quality_signal float64 | qsc_code_frac_chars_top_3grams_quality_signal float64 | qsc_code_frac_chars_top_4grams_quality_signal float64 | qsc_code_frac_chars_dupe_5grams_quality_signal float64 | qsc_code_frac_chars_dupe_6grams_quality_signal float64 | qsc_code_frac_chars_dupe_7grams_quality_signal float64 | qsc_code_frac_chars_dupe_8grams_quality_signal float64 | qsc_code_frac_chars_dupe_9grams_quality_signal float64 | qsc_code_frac_chars_dupe_10grams_quality_signal float64 | qsc_code_frac_chars_replacement_symbols_quality_signal float64 | qsc_code_frac_chars_digital_quality_signal float64 | qsc_code_frac_chars_whitespace_quality_signal float64 | qsc_code_size_file_byte_quality_signal float64 | qsc_code_num_lines_quality_signal float64 | qsc_code_num_chars_line_max_quality_signal float64 | qsc_code_num_chars_line_mean_quality_signal float64 | qsc_code_frac_chars_alphabet_quality_signal float64 | qsc_code_frac_chars_comments_quality_signal float64 | qsc_code_cate_xml_start_quality_signal float64 | qsc_code_frac_lines_dupe_lines_quality_signal float64 | qsc_code_cate_autogen_quality_signal float64 | qsc_code_frac_lines_long_string_quality_signal float64 | qsc_code_frac_chars_string_length_quality_signal float64 | qsc_code_frac_chars_long_word_length_quality_signal float64 | qsc_code_frac_lines_string_concat_quality_signal float64 | qsc_code_cate_encoded_data_quality_signal float64 | qsc_code_frac_chars_hex_words_quality_signal float64 | qsc_code_frac_lines_prompt_comments_quality_signal float64 | qsc_code_frac_lines_assert_quality_signal float64 | qsc_codepython_cate_ast_quality_signal float64 | qsc_codepython_frac_lines_func_ratio_quality_signal float64 | qsc_codepython_cate_var_zero_quality_signal bool | qsc_codepython_frac_lines_pass_quality_signal float64 | qsc_codepython_frac_lines_import_quality_signal float64 | qsc_codepython_frac_lines_simplefunc_quality_signal float64 | qsc_codepython_score_lines_no_logic_quality_signal float64 | qsc_codepython_frac_lines_print_quality_signal float64 | qsc_code_num_words int64 | qsc_code_num_chars int64 | qsc_code_mean_word_length int64 | qsc_code_frac_words_unique null | qsc_code_frac_chars_top_2grams int64 | qsc_code_frac_chars_top_3grams int64 | qsc_code_frac_chars_top_4grams int64 | qsc_code_frac_chars_dupe_5grams int64 | qsc_code_frac_chars_dupe_6grams int64 | qsc_code_frac_chars_dupe_7grams int64 | qsc_code_frac_chars_dupe_8grams int64 | qsc_code_frac_chars_dupe_9grams int64 | qsc_code_frac_chars_dupe_10grams int64 | qsc_code_frac_chars_replacement_symbols int64 | qsc_code_frac_chars_digital int64 | qsc_code_frac_chars_whitespace int64 | qsc_code_size_file_byte int64 | qsc_code_num_lines int64 | qsc_code_num_chars_line_max int64 | qsc_code_num_chars_line_mean int64 | qsc_code_frac_chars_alphabet int64 | qsc_code_frac_chars_comments int64 | qsc_code_cate_xml_start int64 | qsc_code_frac_lines_dupe_lines int64 | qsc_code_cate_autogen int64 | qsc_code_frac_lines_long_string int64 | qsc_code_frac_chars_string_length int64 | qsc_code_frac_chars_long_word_length int64 | qsc_code_frac_lines_string_concat null | qsc_code_cate_encoded_data int64 | qsc_code_frac_chars_hex_words int64 | qsc_code_frac_lines_prompt_comments int64 | qsc_code_frac_lines_assert int64 | qsc_codepython_cate_ast int64 | qsc_codepython_frac_lines_func_ratio int64 | qsc_codepython_cate_var_zero int64 | qsc_codepython_frac_lines_pass int64 | qsc_codepython_frac_lines_import int64 | qsc_codepython_frac_lines_simplefunc int64 | qsc_codepython_score_lines_no_logic int64 | qsc_codepython_frac_lines_print int64 | effective string | hits int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
b8006614c7092186d566b86a8da9c01e492c5978 | 25 | py | Python | python.py | ktaira0224/hello-world | 5185e1bf9b8280368648c36c5a67de9c8a7c7b96 | [
"Unlicense"
] | null | null | null | python.py | ktaira0224/hello-world | 5185e1bf9b8280368648c36c5a67de9c8a7c7b96 | [
"Unlicense"
] | null | null | null | python.py | ktaira0224/hello-world | 5185e1bf9b8280368648c36c5a67de9c8a7c7b96 | [
"Unlicense"
] | null | null | null | import os
import tkinter
| 8.333333 | 14 | 0.84 | 4 | 25 | 5.25 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.16 | 25 | 2 | 15 | 12.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
b806dd20cb3a6ebf83b815f4ba5655693f16f8ce | 190 | py | Python | wordgoal/documents/__init__.py | cariad/wordgoal | 46478f176e1947443107bc8eb2aa254b9c569d2d | [
"MIT"
] | null | null | null | wordgoal/documents/__init__.py | cariad/wordgoal | 46478f176e1947443107bc8eb2aa254b9c569d2d | [
"MIT"
] | 4 | 2021-03-14T18:05:56.000Z | 2021-03-16T14:41:32.000Z | wordgoal/documents/__init__.py | cariad/wordgoal | 46478f176e1947443107bc8eb2aa254b9c569d2d | [
"MIT"
] | null | null | null | from wordgoal.documents.markdown import markdown_goal, words_in_markdown
from wordgoal.documents.text import words_in_text
__all__ = ["markdown_goal", "words_in_markdown", "words_in_text"]
| 38 | 72 | 0.836842 | 27 | 190 | 5.37037 | 0.37037 | 0.193103 | 0.289655 | 0.262069 | 0.372414 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.078947 | 190 | 4 | 73 | 47.5 | 0.828571 | 0 | 0 | 0 | 0 | 0 | 0.226316 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
62cae0c1f675f5858619f4758e4c04a21cfadd1e | 9,425 | py | Python | cmibs/q_bridge_mib.py | prorevizor/noc | 37e44b8afc64318b10699c06a1138eee9e7d6a4e | [
"BSD-3-Clause"
] | 84 | 2017-10-22T11:01:39.000Z | 2022-02-27T03:43:48.000Z | cmibs/q_bridge_mib.py | prorevizor/noc | 37e44b8afc64318b10699c06a1138eee9e7d6a4e | [
"BSD-3-Clause"
] | 22 | 2017-12-11T07:21:56.000Z | 2021-09-23T02:53:50.000Z | cmibs/q_bridge_mib.py | prorevizor/noc | 37e44b8afc64318b10699c06a1138eee9e7d6a4e | [
"BSD-3-Clause"
] | 23 | 2017-12-06T06:59:52.000Z | 2022-02-24T00:02:25.000Z | # ----------------------------------------------------------------------
# Q-BRIDGE-MIB
# Compiled MIB
# Do not modify this file directly
# Run ./noc mib make-cmib instead
# ----------------------------------------------------------------------
# Copyright (C) 2007-2020 The NOC Project
# See LICENSE for details
# ----------------------------------------------------------------------
# MIB Name
NAME = "Q-BRIDGE-MIB"
# Metadata
LAST_UPDATED = "2006-01-09"
COMPILED = "2020-01-19"
# MIB Data: name -> oid
MIB = {
"Q-BRIDGE-MIB::qBridgeMIB": "1.3.6.1.2.1.17.7",
"Q-BRIDGE-MIB::qBridgeMIBObjects": "1.3.6.1.2.1.17.7.1",
"Q-BRIDGE-MIB::dot1qBase": "1.3.6.1.2.1.17.7.1.1",
"Q-BRIDGE-MIB::dot1qVlanVersionNumber": "1.3.6.1.2.1.17.7.1.1.1",
"Q-BRIDGE-MIB::dot1qMaxVlanId": "1.3.6.1.2.1.17.7.1.1.2",
"Q-BRIDGE-MIB::dot1qMaxSupportedVlans": "1.3.6.1.2.1.17.7.1.1.3",
"Q-BRIDGE-MIB::dot1qNumVlans": "1.3.6.1.2.1.17.7.1.1.4",
"Q-BRIDGE-MIB::dot1qGvrpStatus": "1.3.6.1.2.1.17.7.1.1.5",
"Q-BRIDGE-MIB::dot1qTp": "1.3.6.1.2.1.17.7.1.2",
"Q-BRIDGE-MIB::dot1qFdbTable": "1.3.6.1.2.1.17.7.1.2.1",
"Q-BRIDGE-MIB::dot1qFdbEntry": "1.3.6.1.2.1.17.7.1.2.1.1",
"Q-BRIDGE-MIB::dot1qFdbId": "1.3.6.1.2.1.17.7.1.2.1.1.1",
"Q-BRIDGE-MIB::dot1qFdbDynamicCount": "1.3.6.1.2.1.17.7.1.2.1.1.2",
"Q-BRIDGE-MIB::dot1qTpFdbTable": "1.3.6.1.2.1.17.7.1.2.2",
"Q-BRIDGE-MIB::dot1qTpFdbEntry": "1.3.6.1.2.1.17.7.1.2.2.1",
"Q-BRIDGE-MIB::dot1qTpFdbAddress": "1.3.6.1.2.1.17.7.1.2.2.1.1",
"Q-BRIDGE-MIB::dot1qTpFdbPort": "1.3.6.1.2.1.17.7.1.2.2.1.2",
"Q-BRIDGE-MIB::dot1qTpFdbStatus": "1.3.6.1.2.1.17.7.1.2.2.1.3",
"Q-BRIDGE-MIB::dot1qTpGroupTable": "1.3.6.1.2.1.17.7.1.2.3",
"Q-BRIDGE-MIB::dot1qTpGroupEntry": "1.3.6.1.2.1.17.7.1.2.3.1",
"Q-BRIDGE-MIB::dot1qTpGroupAddress": "1.3.6.1.2.1.17.7.1.2.3.1.1",
"Q-BRIDGE-MIB::dot1qTpGroupEgressPorts": "1.3.6.1.2.1.17.7.1.2.3.1.2",
"Q-BRIDGE-MIB::dot1qTpGroupLearnt": "1.3.6.1.2.1.17.7.1.2.3.1.3",
"Q-BRIDGE-MIB::dot1qForwardAllTable": "1.3.6.1.2.1.17.7.1.2.4",
"Q-BRIDGE-MIB::dot1qForwardAllEntry": "1.3.6.1.2.1.17.7.1.2.4.1",
"Q-BRIDGE-MIB::dot1qForwardAllPorts": "1.3.6.1.2.1.17.7.1.2.4.1.1",
"Q-BRIDGE-MIB::dot1qForwardAllStaticPorts": "1.3.6.1.2.1.17.7.1.2.4.1.2",
"Q-BRIDGE-MIB::dot1qForwardAllForbiddenPorts": "1.3.6.1.2.1.17.7.1.2.4.1.3",
"Q-BRIDGE-MIB::dot1qForwardUnregisteredTable": "1.3.6.1.2.1.17.7.1.2.5",
"Q-BRIDGE-MIB::dot1qForwardUnregisteredEntry": "1.3.6.1.2.1.17.7.1.2.5.1",
"Q-BRIDGE-MIB::dot1qForwardUnregisteredPorts": "1.3.6.1.2.1.17.7.1.2.5.1.1",
"Q-BRIDGE-MIB::dot1qForwardUnregisteredStaticPorts": "1.3.6.1.2.1.17.7.1.2.5.1.2",
"Q-BRIDGE-MIB::dot1qForwardUnregisteredForbiddenPorts": "1.3.6.1.2.1.17.7.1.2.5.1.3",
"Q-BRIDGE-MIB::dot1qStatic": "1.3.6.1.2.1.17.7.1.3",
"Q-BRIDGE-MIB::dot1qStaticUnicastTable": "1.3.6.1.2.1.17.7.1.3.1",
"Q-BRIDGE-MIB::dot1qStaticUnicastEntry": "1.3.6.1.2.1.17.7.1.3.1.1",
"Q-BRIDGE-MIB::dot1qStaticUnicastAddress": "1.3.6.1.2.1.17.7.1.3.1.1.1",
"Q-BRIDGE-MIB::dot1qStaticUnicastReceivePort": "1.3.6.1.2.1.17.7.1.3.1.1.2",
"Q-BRIDGE-MIB::dot1qStaticUnicastAllowedToGoTo": "1.3.6.1.2.1.17.7.1.3.1.1.3",
"Q-BRIDGE-MIB::dot1qStaticUnicastStatus": "1.3.6.1.2.1.17.7.1.3.1.1.4",
"Q-BRIDGE-MIB::dot1qStaticMulticastTable": "1.3.6.1.2.1.17.7.1.3.2",
"Q-BRIDGE-MIB::dot1qStaticMulticastEntry": "1.3.6.1.2.1.17.7.1.3.2.1",
"Q-BRIDGE-MIB::dot1qStaticMulticastAddress": "1.3.6.1.2.1.17.7.1.3.2.1.1",
"Q-BRIDGE-MIB::dot1qStaticMulticastReceivePort": "1.3.6.1.2.1.17.7.1.3.2.1.2",
"Q-BRIDGE-MIB::dot1qStaticMulticastStaticEgressPorts": "1.3.6.1.2.1.17.7.1.3.2.1.3",
"Q-BRIDGE-MIB::dot1qStaticMulticastForbiddenEgressPorts": "1.3.6.1.2.1.17.7.1.3.2.1.4",
"Q-BRIDGE-MIB::dot1qStaticMulticastStatus": "1.3.6.1.2.1.17.7.1.3.2.1.5",
"Q-BRIDGE-MIB::dot1qVlan": "1.3.6.1.2.1.17.7.1.4",
"Q-BRIDGE-MIB::dot1qVlanNumDeletes": "1.3.6.1.2.1.17.7.1.4.1",
"Q-BRIDGE-MIB::dot1qVlanCurrentTable": "1.3.6.1.2.1.17.7.1.4.2",
"Q-BRIDGE-MIB::dot1qVlanCurrentEntry": "1.3.6.1.2.1.17.7.1.4.2.1",
"Q-BRIDGE-MIB::dot1qVlanTimeMark": "1.3.6.1.2.1.17.7.1.4.2.1.1",
"Q-BRIDGE-MIB::dot1qVlanIndex": "1.3.6.1.2.1.17.7.1.4.2.1.2",
"Q-BRIDGE-MIB::dot1qVlanFdbId": "1.3.6.1.2.1.17.7.1.4.2.1.3",
"Q-BRIDGE-MIB::dot1qVlanCurrentEgressPorts": "1.3.6.1.2.1.17.7.1.4.2.1.4",
"Q-BRIDGE-MIB::dot1qVlanCurrentUntaggedPorts": "1.3.6.1.2.1.17.7.1.4.2.1.5",
"Q-BRIDGE-MIB::dot1qVlanStatus": "1.3.6.1.2.1.17.7.1.4.2.1.6",
"Q-BRIDGE-MIB::dot1qVlanCreationTime": "1.3.6.1.2.1.17.7.1.4.2.1.7",
"Q-BRIDGE-MIB::dot1qVlanStaticTable": "1.3.6.1.2.1.17.7.1.4.3",
"Q-BRIDGE-MIB::dot1qVlanStaticEntry": "1.3.6.1.2.1.17.7.1.4.3.1",
"Q-BRIDGE-MIB::dot1qVlanStaticName": "1.3.6.1.2.1.17.7.1.4.3.1.1",
"Q-BRIDGE-MIB::dot1qVlanStaticEgressPorts": "1.3.6.1.2.1.17.7.1.4.3.1.2",
"Q-BRIDGE-MIB::dot1qVlanForbiddenEgressPorts": "1.3.6.1.2.1.17.7.1.4.3.1.3",
"Q-BRIDGE-MIB::dot1qVlanStaticUntaggedPorts": "1.3.6.1.2.1.17.7.1.4.3.1.4",
"Q-BRIDGE-MIB::dot1qVlanStaticRowStatus": "1.3.6.1.2.1.17.7.1.4.3.1.5",
"Q-BRIDGE-MIB::dot1qNextFreeLocalVlanIndex": "1.3.6.1.2.1.17.7.1.4.4",
"Q-BRIDGE-MIB::dot1qPortVlanTable": "1.3.6.1.2.1.17.7.1.4.5",
"Q-BRIDGE-MIB::dot1qPortVlanEntry": "1.3.6.1.2.1.17.7.1.4.5.1",
"Q-BRIDGE-MIB::dot1qPvid": "1.3.6.1.2.1.17.7.1.4.5.1.1",
"Q-BRIDGE-MIB::dot1qPortAcceptableFrameTypes": "1.3.6.1.2.1.17.7.1.4.5.1.2",
"Q-BRIDGE-MIB::dot1qPortIngressFiltering": "1.3.6.1.2.1.17.7.1.4.5.1.3",
"Q-BRIDGE-MIB::dot1qPortGvrpStatus": "1.3.6.1.2.1.17.7.1.4.5.1.4",
"Q-BRIDGE-MIB::dot1qPortGvrpFailedRegistrations": "1.3.6.1.2.1.17.7.1.4.5.1.5",
"Q-BRIDGE-MIB::dot1qPortGvrpLastPduOrigin": "1.3.6.1.2.1.17.7.1.4.5.1.6",
"Q-BRIDGE-MIB::dot1qPortRestrictedVlanRegistration": "1.3.6.1.2.1.17.7.1.4.5.1.7",
"Q-BRIDGE-MIB::dot1qPortVlanStatisticsTable": "1.3.6.1.2.1.17.7.1.4.6",
"Q-BRIDGE-MIB::dot1qPortVlanStatisticsEntry": "1.3.6.1.2.1.17.7.1.4.6.1",
"Q-BRIDGE-MIB::dot1qTpVlanPortInFrames": "1.3.6.1.2.1.17.7.1.4.6.1.1",
"Q-BRIDGE-MIB::dot1qTpVlanPortOutFrames": "1.3.6.1.2.1.17.7.1.4.6.1.2",
"Q-BRIDGE-MIB::dot1qTpVlanPortInDiscards": "1.3.6.1.2.1.17.7.1.4.6.1.3",
"Q-BRIDGE-MIB::dot1qTpVlanPortInOverflowFrames": "1.3.6.1.2.1.17.7.1.4.6.1.4",
"Q-BRIDGE-MIB::dot1qTpVlanPortOutOverflowFrames": "1.3.6.1.2.1.17.7.1.4.6.1.5",
"Q-BRIDGE-MIB::dot1qTpVlanPortInOverflowDiscards": "1.3.6.1.2.1.17.7.1.4.6.1.6",
"Q-BRIDGE-MIB::dot1qPortVlanHCStatisticsTable": "1.3.6.1.2.1.17.7.1.4.7",
"Q-BRIDGE-MIB::dot1qPortVlanHCStatisticsEntry": "1.3.6.1.2.1.17.7.1.4.7.1",
"Q-BRIDGE-MIB::dot1qTpVlanPortHCInFrames": "1.3.6.1.2.1.17.7.1.4.7.1.1",
"Q-BRIDGE-MIB::dot1qTpVlanPortHCOutFrames": "1.3.6.1.2.1.17.7.1.4.7.1.2",
"Q-BRIDGE-MIB::dot1qTpVlanPortHCInDiscards": "1.3.6.1.2.1.17.7.1.4.7.1.3",
"Q-BRIDGE-MIB::dot1qLearningConstraintsTable": "1.3.6.1.2.1.17.7.1.4.8",
"Q-BRIDGE-MIB::dot1qLearningConstraintsEntry": "1.3.6.1.2.1.17.7.1.4.8.1",
"Q-BRIDGE-MIB::dot1qConstraintVlan": "1.3.6.1.2.1.17.7.1.4.8.1.1",
"Q-BRIDGE-MIB::dot1qConstraintSet": "1.3.6.1.2.1.17.7.1.4.8.1.2",
"Q-BRIDGE-MIB::dot1qConstraintType": "1.3.6.1.2.1.17.7.1.4.8.1.3",
"Q-BRIDGE-MIB::dot1qConstraintStatus": "1.3.6.1.2.1.17.7.1.4.8.1.4",
"Q-BRIDGE-MIB::dot1qConstraintSetDefault": "1.3.6.1.2.1.17.7.1.4.9",
"Q-BRIDGE-MIB::dot1qConstraintTypeDefault": "1.3.6.1.2.1.17.7.1.4.10",
"Q-BRIDGE-MIB::dot1vProtocol": "1.3.6.1.2.1.17.7.1.5",
"Q-BRIDGE-MIB::dot1vProtocolGroupTable": "1.3.6.1.2.1.17.7.1.5.1",
"Q-BRIDGE-MIB::dot1vProtocolGroupEntry": "1.3.6.1.2.1.17.7.1.5.1.1",
"Q-BRIDGE-MIB::dot1vProtocolTemplateFrameType": "1.3.6.1.2.1.17.7.1.5.1.1.1",
"Q-BRIDGE-MIB::dot1vProtocolTemplateProtocolValue": "1.3.6.1.2.1.17.7.1.5.1.1.2",
"Q-BRIDGE-MIB::dot1vProtocolGroupId": "1.3.6.1.2.1.17.7.1.5.1.1.3",
"Q-BRIDGE-MIB::dot1vProtocolGroupRowStatus": "1.3.6.1.2.1.17.7.1.5.1.1.4",
"Q-BRIDGE-MIB::dot1vProtocolPortTable": "1.3.6.1.2.1.17.7.1.5.2",
"Q-BRIDGE-MIB::dot1vProtocolPortEntry": "1.3.6.1.2.1.17.7.1.5.2.1",
"Q-BRIDGE-MIB::dot1vProtocolPortGroupId": "1.3.6.1.2.1.17.7.1.5.2.1.1",
"Q-BRIDGE-MIB::dot1vProtocolPortGroupVid": "1.3.6.1.2.1.17.7.1.5.2.1.2",
"Q-BRIDGE-MIB::dot1vProtocolPortRowStatus": "1.3.6.1.2.1.17.7.1.5.2.1.3",
"Q-BRIDGE-MIB::qBridgeConformance": "1.3.6.1.2.1.17.7.2",
"Q-BRIDGE-MIB::qBridgeGroups": "1.3.6.1.2.1.17.7.2.1",
"Q-BRIDGE-MIB::qBridgeCompliances": "1.3.6.1.2.1.17.7.2.2",
}
DISPLAY_HINTS = {
"1.3.6.1.2.1.17.7.1.2.2.1.1": ("OctetString", "1x:"), # Q-BRIDGE-MIB::dot1qTpFdbAddress
"1.3.6.1.2.1.17.7.1.2.3.1.1": ("OctetString", "1x:"), # Q-BRIDGE-MIB::dot1qTpGroupAddress
"1.3.6.1.2.1.17.7.1.3.1.1.1": ("OctetString", "1x:"), # Q-BRIDGE-MIB::dot1qStaticUnicastAddress
"1.3.6.1.2.1.17.7.1.3.2.1.1": (
"OctetString",
"1x:",
), # Q-BRIDGE-MIB::dot1qStaticMulticastAddress
"1.3.6.1.2.1.17.7.1.4.2.1.2": ("Unsigned32", "d"), # Q-BRIDGE-MIB::dot1qVlanIndex
"1.3.6.1.2.1.17.7.1.4.5.1.1": ("Unsigned32", "d"), # Q-BRIDGE-MIB::dot1qPvid
"1.3.6.1.2.1.17.7.1.4.5.1.6": (
"OctetString",
"1x:",
), # Q-BRIDGE-MIB::dot1qPortGvrpLastPduOrigin
"1.3.6.1.2.1.17.7.1.4.8.1.1": ("Unsigned32", "d"), # Q-BRIDGE-MIB::dot1qConstraintVlan
}
| 63.255034 | 100 | 0.6087 | 1,993 | 9,425 | 2.877572 | 0.081786 | 0.056844 | 0.064342 | 0.082999 | 0.510375 | 0.441325 | 0.349085 | 0.338971 | 0.332868 | 0.325894 | 0 | 0.200654 | 0.091034 | 9,425 | 148 | 101 | 63.682432 | 0.468776 | 0.072467 | 0 | 0.045455 | 0 | 0.825758 | 0.813553 | 0.776058 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
62e14400cb58c55f72006fcfc459b247db6999a3 | 1,069 | py | Python | python/anyascii/_data/_095.py | casept/anyascii | d4f426b91751254b68eaa84c6cd23099edd668e6 | [
"ISC"
] | null | null | null | python/anyascii/_data/_095.py | casept/anyascii | d4f426b91751254b68eaa84c6cd23099edd668e6 | [
"ISC"
] | null | null | null | python/anyascii/_data/_095.py | casept/anyascii | d4f426b91751254b68eaa84c6cd23099edd668e6 | [
"ISC"
] | null | null | null | b='Xiao Suo Li Zeng Chu Guo Gao E Xiu Cuo Lue Feng Xin Liu Kai Jian Rui Ti Lang Qin Ju A Qiang Zhe Nuo Cuo Mao Ben Qi De Ke Kun Chang Xi Gu Luo Chui Zhui Jin Zhi Xian Juan Huo Pei Tan Ding Jian Ju Meng Zi Qie Ying Kai Qiang Si E Cha Qiao Zhong Duan Sou Huang Huan Ai Du Mei Lou Zi Fei Mei Mo Zhen Bo Ge Nie Tang Juan Nie Na Liu Gao Bang Yi Jia Bin Rong Biao Tang Man Luo Beng Yong Jing Di Zu Xuan Liu Chan Jue Liao Pu Lu Dui Lan Pu Cuan Qiang Deng Huo Lei Huan Zhuo Lian Yi Cha Biao La Chan Xiang Zhang Chang Jiu Ao Die Qu Liao Mi Zhang Men Ma Shuan Shan Huo Men Yan Bi Han Bi Shan Kai Kang Beng Hong Run San Xian Xian Jian Min Xia Shui Dou Zha Nao Zhan Peng Xia Ling Bian Bi Run Ai Guan Ge Ge Fa Chu Hong Gui Min Se Kun Lang Lu Ting Sha Ju Yue Yue Chan Qu Lin Chang Shai Kun Yan Wen Yan E Hun Yu Wen Hong Bao Hong Qu Yao Wen Ban An Wei Yin Kuo Que Lan Du Quan Feng Tian Nie Ta Kai He Que Chuang Guan Dou Qi Kui Tang Guan Piao Kan Xi Hui Chan Pi Dang Huan Ta Wen Ta Men Shuan Shan Yan Han Bi Wen Chuang Run Wei Xian Hong Jian Min Kang Men Zha Nao Gui Wen Ta Min Lu Kai' | 1,069 | 1,069 | 0.758653 | 257 | 1,069 | 3.155642 | 0.603113 | 0.022195 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.238541 | 1,069 | 1 | 1,069 | 1,069 | 0.996315 | 0 | 0 | 0 | 0 | 1 | 0.995327 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
62f51774289620d33658fc857e28239f67d91745 | 13,945 | py | Python | resilient-sdk/tests/unit/test_cmds/test_validate.py | ibmresilient/resilient-python-api | 85e0ff684a88f744645c0ace414f51d769bcc3c2 | [
"MIT"
] | 28 | 2017-12-22T00:26:59.000Z | 2022-01-22T14:51:33.000Z | resilient-sdk/tests/unit/test_cmds/test_validate.py | ibmresilient/resilient-python-api | 85e0ff684a88f744645c0ace414f51d769bcc3c2 | [
"MIT"
] | 18 | 2018-03-06T19:04:20.000Z | 2022-03-21T15:06:30.000Z | resilient-sdk/tests/unit/test_cmds/test_validate.py | ibmresilient/resilient-python-api | 85e0ff684a88f744645c0ace414f51d769bcc3c2 | [
"MIT"
] | 28 | 2018-05-01T17:53:22.000Z | 2022-03-28T09:56:59.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# (c) Copyright IBM Corp. 2010, 2021. All Rights Reserved.
import os
import sys
from mock import patch
from resilient_sdk.cmds import CmdValidate, base_cmd
from resilient_sdk.util import constants
from resilient_sdk.util.sdk_validate_issue import SDKValidateIssue
from tests.shared_mock_data import mock_paths
def test_cmd_validate_setup(fx_copy_fn_main_mock_integration, fx_get_sub_parser, fx_cmd_line_args_validate):
cmd_validate = CmdValidate(fx_get_sub_parser)
assert isinstance(cmd_validate, base_cmd.BaseCmd)
assert cmd_validate.CMD_NAME == "validate"
assert cmd_validate.CMD_HELP == "Validate an App before packaging it"
assert cmd_validate.CMD_USAGE == """
$ resilient-sdk validate -p <name_of_package>
$ resilient-sdk validate -p <name_of_package> -c '/usr/custom_app.config'
$ resilient-sdk validate -p <name_of_package> --validate
$ resilient-sdk validate -p <name_of_package> --tests
$ resilient-sdk validate -p <name_of_package> --pylint --bandit --cve --selftest"""
assert cmd_validate.CMD_DESCRIPTION == cmd_validate.CMD_HELP
args = cmd_validate.parser.parse_known_args()[0]
assert args.package == "fn_main_mock_integration"
assert bool(not args.validate and not args.tests and not args.pylint and not args.bandit and not args.cve) is True
def test_print_package_details(fx_copy_fn_main_mock_integration, fx_get_sub_parser, fx_cmd_line_args_validate, caplog):
cmd_validate = CmdValidate(fx_get_sub_parser)
args = cmd_validate.parser.parse_known_args()[0]
assert args.package == "fn_main_mock_integration"
# set package name to path to package
args.package = fx_copy_fn_main_mock_integration[1]
cmd_validate._print_package_details(args)
assert "Printing details" in caplog.text
assert "name: fn_main_mock_integration" in caplog.text
assert "Proxy support: " in caplog.text
def test_pass_validate_setup_py_file(fx_copy_fn_main_mock_integration):
"""Test for success when calling _validate_setup()"""
mock_package_path = fx_copy_fn_main_mock_integration[1]
mock_data = {
"test": {
"fail_func": lambda x: False,
"parse_func": lambda _, attr_list: {attr: "mock_data" for attr in attr_list},
}
}
with patch.dict("resilient_sdk.cmds.validate.validation_configurations.setup_py_attributes", mock_data, clear=True):
results = CmdValidate._validate_setup(mock_package_path)
assert results[0]
assert len(results) == 2
assert len(results[1]) == 1
assert results[1][0].severity == SDKValidateIssue.SEVERITY_LEVEL_DEBUG
def test_fail_validate_setup_py_file(fx_copy_fn_main_mock_integration):
"""Test for failure when calling _validate_setup()"""
mock_package_path = fx_copy_fn_main_mock_integration[1]
mock_data = {
"test2": {
"fail_func": lambda x: True,
"fail_msg": "failed",
"severity": SDKValidateIssue.SEVERITY_LEVEL_WARN,
"missing_msg": "missing",
"solution": "solution",
"parse_func": lambda _, attr_list: {attr: "mock_data" for attr in attr_list},
},
"test": {
"fail_func": lambda x: True,
"fail_msg": "failed",
"severity": SDKValidateIssue.SEVERITY_LEVEL_CRITICAL,
"missing_msg": "missing",
"solution": "solution",
"parse_func": lambda _, attr_list: {attr: "mock_data" for attr in attr_list},
},
"test3": {
"fail_func": lambda x: True,
"fail_msg": "failed",
"severity": SDKValidateIssue.SEVERITY_LEVEL_INFO,
"missing_msg": "missing",
"solution": "solution",
"parse_func": lambda _, attr_list: {attr: "mock_data" for attr in attr_list},
}
}
with patch.dict("resilient_sdk.cmds.validate.validation_configurations.setup_py_attributes", mock_data, clear=True):
results = CmdValidate._validate_setup(mock_package_path)
assert not results[0]
assert len(results) == 2
assert len(results[1]) == 3
# note the returned values in results[1] are sorted so the levels should be in order of severity
assert results[1][0].severity == SDKValidateIssue.SEVERITY_LEVEL_CRITICAL
assert results[1][1].severity == SDKValidateIssue.SEVERITY_LEVEL_WARN
assert results[1][2].severity == SDKValidateIssue.SEVERITY_LEVEL_INFO
def test_pass_validate_selftest_py_file(fx_get_sub_parser, fx_cmd_line_args_validate, fx_copy_fn_main_mock_integration):
cmd_validate = CmdValidate(fx_get_sub_parser)
args = cmd_validate.parser.parse_known_args()[0]
mock_package_path = fx_copy_fn_main_mock_integration[1]
mock_data = [
{ "func": lambda **x: (True, SDKValidateIssue("pass", "pass", SDKValidateIssue.SEVERITY_LEVEL_DEBUG)) }
]
with patch("resilient_sdk.cmds.validate.validation_configurations.selftest_attributes", new=mock_data):
results = CmdValidate._validate_selftest(mock_package_path, args)
assert results[0]
assert len(results) == 2
assert len(results[1]) == 1
assert results[1][0].severity == SDKValidateIssue.SEVERITY_LEVEL_DEBUG
def test_fail_validate_selftest_py_file(fx_get_sub_parser, fx_cmd_line_args_validate, fx_copy_fn_main_mock_integration):
cmd_validate = CmdValidate(fx_get_sub_parser)
args = cmd_validate.parser.parse_known_args()[0]
mock_package_path = fx_copy_fn_main_mock_integration[1]
mock_data = [
{ "func": lambda **x: (True, SDKValidateIssue("pass", "pass", SDKValidateIssue.SEVERITY_LEVEL_DEBUG)) },
{ "func": lambda **x: (False, SDKValidateIssue("fail", "fail")) }
]
with patch("resilient_sdk.cmds.validate.validation_configurations.selftest_attributes", new=mock_data):
results = CmdValidate._validate_selftest(mock_package_path, args)
assert not results[0]
assert len(results) == 2
assert len(results[1]) == 2
assert results[1][0].severity == SDKValidateIssue.SEVERITY_LEVEL_CRITICAL
assert results[1][1].severity == SDKValidateIssue.SEVERITY_LEVEL_DEBUG
def test_pass_validate_package_files(fx_copy_fn_main_mock_integration):
mock_path_package = fx_copy_fn_main_mock_integration[1]
mock_data = {
"mock_valid_file": {"func": lambda **_: [SDKValidateIssue("pass", "pass", SDKValidateIssue.SEVERITY_LEVEL_DEBUG)]}
}
# the file isn't actually real so we need to mock the validate_file_paths call to not raise and error
with patch("resilient_sdk.cmds.validate.sdk_helpers.validate_file_paths") as mock_validate_file:
mock_validate_file.return_value = None
# mock the package_file data to mock_data
with patch("resilient_sdk.cmds.validate.validation_configurations.package_files", new=mock_data):
results = CmdValidate._validate_package_files(mock_path_package)
assert len(results) == 2
assert results[0]
assert len(results[1]) == 1
assert results[1][0].severity == SDKValidateIssue.SEVERITY_LEVEL_DEBUG
def test_fail_validate_package_files(fx_copy_fn_main_mock_integration):
mock_path_package = fx_copy_fn_main_mock_integration[1]
mock_data = {
"mock_valid_file": {"func": lambda **_: [SDKValidateIssue("pass", "pass", SDKValidateIssue.SEVERITY_LEVEL_DEBUG)]},
"mock_invalid_file": {"func": lambda **_: [SDKValidateIssue("fail", "fail")]}
}
# the file isn't actually real so we need to mock the validate_file_paths call to not raise and error
with patch("resilient_sdk.cmds.validate.sdk_helpers.validate_file_paths") as mock_validate_file:
mock_validate_file.return_value = None
# mock the package_file data to mock_data
with patch("resilient_sdk.cmds.validate.validation_configurations.package_files", new=mock_data):
results = CmdValidate._validate_package_files(mock_path_package)
assert len(results) == 2
assert not results[0]
assert len(results[1]) == 2
# note that the results should be sorted so the critical issue comes up first
assert results[1][0].severity == SDKValidateIssue.SEVERITY_LEVEL_CRITICAL
assert results[1][1].severity == SDKValidateIssue.SEVERITY_LEVEL_DEBUG
def test_file_not_found_validate_package_files(fx_copy_fn_main_mock_integration):
mock_path_package = fx_copy_fn_main_mock_integration[1]
mock_data = {
"mock_missing_file": {
"missing_name": "mock_name",
"missing_msg": "mock_msg {0}",
"missing_severity": SDKValidateIssue.SEVERITY_LEVEL_CRITICAL,
"missing_solution": "mock_solution"
}
}
# mock the package_file data to mock_data
with patch("resilient_sdk.cmds.validate.validation_configurations.package_files", new=mock_data):
results = CmdValidate._validate_package_files(mock_path_package)
assert len(results) == 2
assert not results[0]
assert len(results[1]) == 1
assert mock_path_package in results[1][0].description
assert results[1][0].severity == SDKValidateIssue.SEVERITY_LEVEL_CRITICAL
assert results[1][0].solution == "mock_solution"
def test_get_log_level():
assert CmdValidate._get_log_level(int("50")) == 10 # should only work on str's (returns DEBUG when given an int)
assert CmdValidate._get_log_level("DEBUG") == 10
assert CmdValidate._get_log_level("INFO") == 20
assert CmdValidate._get_log_level("WARNING") == 30
assert CmdValidate._get_log_level("CRITICAL") == 40
assert CmdValidate._get_log_level("CRITICAL", True) == 10 # when outputsuppressed == True, returns 10
assert CmdValidate._get_log_level("SOMESTRING") == 10
def test_print_summary(fx_get_sub_parser, caplog):
mock_data = [
SDKValidateIssue("default", "severity is used"),
SDKValidateIssue("default", "severity is used"),
SDKValidateIssue("default", "severity is used"),
SDKValidateIssue("warning", "severity", SDKValidateIssue.SEVERITY_LEVEL_WARN),
SDKValidateIssue("warning", "severity", SDKValidateIssue.SEVERITY_LEVEL_WARN),
SDKValidateIssue("debug", "pass", SDKValidateIssue.SEVERITY_LEVEL_DEBUG)
]
cmd_validate = CmdValidate(fx_get_sub_parser)
cmd_validate._print_summary(mock_data)
assert "Validation Results" in caplog.text
assert "Critical Issues: 3" in caplog.text
assert "Warnings: 2" in caplog.text
assert "Validations Passed: 1" in caplog.text
def test_print_status(fx_get_sub_parser, caplog):
cmd_validate = CmdValidate(fx_get_sub_parser)
cmd_validate._print_status("INFO", "testprintstatus", True)
assert "testprintstatus PASS" in caplog.text
cmd_validate._print_status("INFO", "testprintstatus", False)
assert "testprintstatus FAIL" in caplog.text
def test_custom_app_config_file(fx_pip_install_fn_main_mock_integration, fx_copy_fn_main_mock_integration, fx_cmd_line_args_validate, fx_get_sub_parser, fx_mock_res_client, caplog):
mock_app_config_path = mock_paths.TEST_TEMP_DIR + "/mock_app.config"
mock_integration_name = fx_copy_fn_main_mock_integration[0]
# Replace cmd line arg "fn_main_mock_integration" with path to temp dir location
sys.argv[sys.argv.index(mock_integration_name)] = fx_copy_fn_main_mock_integration[1]
# Add cmd line arg
sys.argv.extend(["--selftest"])
sys.argv.extend(["-c", mock_app_config_path])
with patch("resilient_sdk.cmds.validate.sdk_helpers.get_resilient_client") as mock_client:
mock_client.return_value = fx_mock_res_client
cmd_validate = CmdValidate(fx_get_sub_parser)
args = cmd_validate.parser.parse_known_args()[0]
cmd_validate.execute_command(args)
assert "Couldn't read config file '{0}'".format(mock_app_config_path) in caplog.text
assert not os.getenv(constants.ENV_VAR_APP_CONFIG_FILE, default=None)
def test_not_using_custom_app_config_file(fx_copy_fn_main_mock_integration, fx_cmd_line_args_validate, fx_get_sub_parser, fx_mock_res_client):
mock_integration_name = fx_copy_fn_main_mock_integration[0]
# Replace cmd line arg "fn_main_mock_integration" with path to temp dir location
sys.argv[sys.argv.index(mock_integration_name)] = fx_copy_fn_main_mock_integration[1]
# Add cmd line arg
sys.argv.extend(["--selftest"])
with patch("resilient_sdk.cmds.validate.sdk_helpers.get_resilient_client") as mock_client:
mock_client.return_value = fx_mock_res_client
cmd_validate = CmdValidate(fx_get_sub_parser)
args = cmd_validate.parser.parse_known_args()[0]
cmd_validate.execute_command(args)
assert not os.getenv(constants.ENV_VAR_APP_CONFIG_FILE, default=None)
def test_execute_command(fx_copy_fn_main_mock_integration, fx_cmd_line_args_validate, fx_get_sub_parser, fx_mock_res_client, caplog):
mock_integration_name = fx_copy_fn_main_mock_integration[0]
# Replace cmd line arg "fn_main_mock_integration" with path to temp dir location
sys.argv[sys.argv.index(mock_integration_name)] = fx_copy_fn_main_mock_integration[1]
# Add cmd line arg
sys.argv.extend(["--validate"])
with patch("resilient_sdk.cmds.validate.sdk_helpers.get_resilient_client") as mock_client:
mock_client.return_value = fx_mock_res_client
cmd_validate = CmdValidate(fx_get_sub_parser)
args = cmd_validate.parser.parse_known_args()[0]
cmd_validate.execute_command(args)
assert "Printing details" in caplog.text
assert "Validation Results" in caplog.text
assert u"ล ฦ ว ศ ษ ส ห ฬ อ" in caplog.text
assert "setup.py attribute 'author' remains unchanged from the default value" in caplog.text | 43.990536 | 181 | 0.721692 | 1,869 | 13,945 | 5.020867 | 0.119315 | 0.06234 | 0.035166 | 0.073849 | 0.803069 | 0.765985 | 0.738491 | 0.708014 | 0.679668 | 0.679668 | 0 | 0.009672 | 0.184439 | 13,945 | 317 | 182 | 43.990536 | 0.81544 | 0.079742 | 0 | 0.572727 | 0 | 0 | 0.181414 | 0.06927 | 0 | 0 | 0 | 0 | 0.295455 | 1 | 0.068182 | false | 0.045455 | 0.031818 | 0 | 0.1 | 0.040909 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
1a0848cd52c12f68743280920cae9b6993d3a99b | 1,115 | py | Python | foolbox/__init__.py | SamplingAndEnsemblingSolvers/foolbox | 788ea92b314cd974b39047000ed692a48c7e5bf1 | [
"MIT"
] | 2,292 | 2017-06-14T23:20:34.000Z | 2022-03-30T01:53:35.000Z | foolbox/__init__.py | SamplingAndEnsemblingSolvers/foolbox | 788ea92b314cd974b39047000ed692a48c7e5bf1 | [
"MIT"
] | 630 | 2017-06-15T06:34:51.000Z | 2022-03-30T05:11:05.000Z | foolbox/__init__.py | SamplingAndEnsemblingSolvers/foolbox | 788ea92b314cd974b39047000ed692a48c7e5bf1 | [
"MIT"
] | 482 | 2017-06-14T13:43:05.000Z | 2022-03-29T11:10:41.000Z | from os.path import join as _join
from os.path import dirname as _dirname
with open(_join(_dirname(__file__), "VERSION")) as _f:
__version__ = _f.read().strip()
# internal modules
# ----------------
from . import devutils # noqa: F401
from . import tensorboard # noqa: F401
from . import types # noqa: F401
# user-facing modules
# -------------------
from .distances import Distance # noqa: F401
from . import distances # noqa: F401
from .criteria import Criterion # noqa: F401
from .criteria import Misclassification # noqa: F401
from .criteria import TargetedMisclassification # noqa: F401
from . import plot # noqa: F401
from .models import Model # noqa: F401
from .models import PyTorchModel # noqa: F401
from .models import TensorFlowModel # noqa: F401
from .models import JAXModel # noqa: F401
from .models import NumPyModel # noqa: F401
from .utils import accuracy # noqa: F401
from .utils import samples # noqa: F401
from .attacks import Attack # noqa: F401
from . import attacks # noqa: F401
from . import zoo # noqa: F401
from . import gradient_estimators # noqa: F401
| 27.195122 | 61 | 0.70852 | 144 | 1,115 | 5.381944 | 0.305556 | 0.206452 | 0.27871 | 0.162581 | 0.314839 | 0 | 0 | 0 | 0 | 0 | 0 | 0.066007 | 0.184753 | 1,115 | 40 | 62 | 27.875 | 0.786579 | 0.26278 | 0 | 0 | 0 | 0 | 0.008783 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.916667 | 0 | 0.916667 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
1a204c3d56e6c7fccd65a7087462498a978411d0 | 75 | py | Python | Lib/reprlib.py | jdahlin/cpython | a51a0e7517c39d0e2268124708e6dfdd3295925d | [
"CNRI-Python-GPL-Compatible"
] | null | null | null | Lib/reprlib.py | jdahlin/cpython | a51a0e7517c39d0e2268124708e6dfdd3295925d | [
"CNRI-Python-GPL-Compatible"
] | null | null | null | Lib/reprlib.py | jdahlin/cpython | a51a0e7517c39d0e2268124708e6dfdd3295925d | [
"CNRI-Python-GPL-Compatible"
] | null | null | null | def recursive_repr(*args):
def f(*a, **k):
return
return f
| 15 | 26 | 0.533333 | 11 | 75 | 3.545455 | 0.727273 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.32 | 75 | 4 | 27 | 18.75 | 0.764706 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | true | 0 | 0 | 0.25 | 0.75 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 5 |
a7ea5656141883aa96c8c89c936550a46629fca6 | 610 | py | Python | src/kid/abstract/kabstract_command.py | KidKaboom/Kid-Maya-2022 | 0daec301a63438d681cc4c3a5df6d4efdc70daef | [
"MIT"
] | null | null | null | src/kid/abstract/kabstract_command.py | KidKaboom/Kid-Maya-2022 | 0daec301a63438d681cc4c3a5df6d4efdc70daef | [
"MIT"
] | null | null | null | src/kid/abstract/kabstract_command.py | KidKaboom/Kid-Maya-2022 | 0daec301a63438d681cc4c3a5df6d4efdc70daef | [
"MIT"
] | null | null | null | # :coding: utf-8
# Project Modules
# Python Modules
from abc import ABC, abstractclassmethod, abstractmethod, abstractproperty, abstractstaticmethod
class KAbstractCommand(ABC):
@abstractstaticmethod
def name():
raise NotImplementedError
@abstractstaticmethod
def title():
raise NotImplementedError
@abstractstaticmethod
def description():
raise NotImplementedError
@abstractclassmethod
def do_it(cls, *args, **kwargs):
raise NotImplementedError
def __init__(self, *args, **kwargs):
pass
if __name__ == '__main__':
pass
| 19.0625 | 96 | 0.691803 | 52 | 610 | 7.865385 | 0.596154 | 0.234719 | 0.215159 | 0.229829 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002132 | 0.231148 | 610 | 31 | 97 | 19.677419 | 0.869936 | 0.07377 | 0 | 0.5 | 0 | 0 | 0.01426 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.277778 | false | 0.111111 | 0.055556 | 0 | 0.388889 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 |
a7f701b735d33197b7ece382cd690419b4affdeb | 150 | py | Python | FirstMoveBoardEvaluator.py | SPD3/ChessBot | 4008d3ea6c364ad362722290229168ab011d3ca3 | [
"MIT"
] | null | null | null | FirstMoveBoardEvaluator.py | SPD3/ChessBot | 4008d3ea6c364ad362722290229168ab011d3ca3 | [
"MIT"
] | null | null | null | FirstMoveBoardEvaluator.py | SPD3/ChessBot | 4008d3ea6c364ad362722290229168ab011d3ca3 | [
"MIT"
] | null | null | null | from BoardEvaluator import BoardEvaluator
class FirstMoveBoardEvaluator(BoardEvaluator):
def getIndexOfBestBoard(self, boards):
return 0
| 25 | 46 | 0.793333 | 13 | 150 | 9.153846 | 0.846154 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007937 | 0.16 | 150 | 5 | 47 | 30 | 0.936508 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.25 | 0.25 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 5 |
c51235fe559edc7eb4e682f7452c5a349264db6d | 1,960 | py | Python | Python/phonenumbers/data/region_PT.py | skykisl/uberbruns2 | 26933efce04dba700d93cc75c7b74e069fb02d26 | [
"Unlicense"
] | 5 | 2015-04-27T20:10:56.000Z | 2018-06-14T18:19:09.000Z | python/phonenumbers/data/region_PT.py | vemel/python-phonenumbers | 595c322bf12106a3b95e3f202e948a7c6b6c15b8 | [
"Apache-2.0"
] | 2 | 2017-06-08T16:11:13.000Z | 2018-05-07T11:50:13.000Z | python/phonenumbers/data/region_PT.py | vemel/python-phonenumbers | 595c322bf12106a3b95e3f202e948a7c6b6c15b8 | [
"Apache-2.0"
] | 6 | 2015-02-19T11:11:04.000Z | 2022-03-15T19:38:31.000Z | """Auto-generated file, do not edit by hand. PT metadata"""
from ..phonemetadata import NumberFormat, PhoneNumberDesc, PhoneMetadata
PHONE_METADATA_PT = PhoneMetadata(id='PT', country_code=351, international_prefix='00',
general_desc=PhoneNumberDesc(national_number_pattern='[2-46-9]\\d{8}', possible_number_pattern='\\d{9}'),
fixed_line=PhoneNumberDesc(national_number_pattern='2(?:[12]\\d|[35][1-689]|4[1-59]|6[1-35689]|7[1-9]|8[1-69]|9[1256])\\d{6}', possible_number_pattern='\\d{9}', example_number='212345678'),
mobile=PhoneNumberDesc(national_number_pattern='9(?:[136]\\d{2}|2[124-79]\\d|4(?:80|9\\d))\\d{5}', possible_number_pattern='\\d{9}', example_number='912345678'),
toll_free=PhoneNumberDesc(national_number_pattern='4\\d{8}|80[02]\\d{6}', possible_number_pattern='\\d{9}', example_number='800123456'),
premium_rate=PhoneNumberDesc(national_number_pattern='71\\d{7}', possible_number_pattern='\\d{9}', example_number='712345678'),
shared_cost=PhoneNumberDesc(national_number_pattern='808\\d{6}', possible_number_pattern='\\d{9}', example_number='808123456'),
personal_number=PhoneNumberDesc(national_number_pattern='NA', possible_number_pattern='NA'),
voip=PhoneNumberDesc(national_number_pattern='30\\d{7}', possible_number_pattern='\\d{9}', example_number='301234567'),
pager=PhoneNumberDesc(national_number_pattern='NA', possible_number_pattern='NA'),
uan=PhoneNumberDesc(national_number_pattern='70(?:7\\d|8[147])\\d{5}', possible_number_pattern='\\d{9}', example_number='707123456'),
emergency=PhoneNumberDesc(national_number_pattern='112', possible_number_pattern='\\d{3}', example_number='112'),
voicemail=PhoneNumberDesc(national_number_pattern='NA', possible_number_pattern='NA'),
no_international_dialling=PhoneNumberDesc(national_number_pattern='NA', possible_number_pattern='NA'),
number_format=[NumberFormat(pattern='([2-46-9]\\d{2})(\\d{3})(\\d{3})', format=u'\\1 \\2 \\3')])
| 103.157895 | 193 | 0.744388 | 273 | 1,960 | 5.076923 | 0.315018 | 0.243867 | 0.272006 | 0.337662 | 0.449495 | 0.367965 | 0.367965 | 0.367965 | 0.367965 | 0 | 0 | 0.093225 | 0.058673 | 1,960 | 18 | 194 | 108.888889 | 0.657995 | 0.027041 | 0 | 0 | 1 | 0.125 | 0.204103 | 0.092057 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.0625 | 0 | 0.0625 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
c5134f9d4dc6abd7c808e84214812adcb8799d3b | 200 | py | Python | keg_apps/web/cli.py | level12/keg | 6f148a9bd0b8e167007ed5c2a0000daf7de3aee2 | [
"BSD-3-Clause"
] | 15 | 2015-06-26T09:01:53.000Z | 2020-08-28T16:29:14.000Z | keg_apps/web/cli.py | level12/keg | 6f148a9bd0b8e167007ed5c2a0000daf7de3aee2 | [
"BSD-3-Clause"
] | 165 | 2015-03-27T06:49:38.000Z | 2022-03-11T21:39:52.000Z | keg_apps/web/cli.py | level12/keg | 6f148a9bd0b8e167007ed5c2a0000daf7de3aee2 | [
"BSD-3-Clause"
] | 9 | 2015-04-22T17:03:32.000Z | 2018-06-25T17:48:15.000Z | from __future__ import absolute_import
from __future__ import print_function
from keg_apps.web.app import WebApp
def cli_entry():
WebApp.cli.main()
if __name__ == '__main__':
cli_entry()
| 15.384615 | 38 | 0.755 | 28 | 200 | 4.642857 | 0.607143 | 0.153846 | 0.246154 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.165 | 200 | 12 | 39 | 16.666667 | 0.778443 | 0 | 0 | 0 | 0 | 0 | 0.04 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | true | 0 | 0.428571 | 0 | 0.571429 | 0.142857 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
c51e2609c1f247aa644da513ff9d3cbf2c0de6af | 287 | py | Python | callbacks.py | ibaiGorordo/depthai | 57b437f38ebe80e870ee4852ca7ccc80eaaa76cc | [
"MIT"
] | null | null | null | callbacks.py | ibaiGorordo/depthai | 57b437f38ebe80e870ee4852ca7ccc80eaaa76cc | [
"MIT"
] | null | null | null | callbacks.py | ibaiGorordo/depthai | 57b437f38ebe80e870ee4852ca7ccc80eaaa76cc | [
"MIT"
] | null | null | null | def onNewFrame(frame, source):
pass
def onShowFrame(frame, source):
pass
def onNn(nn_packet, decoded_data):
pass
def onReport(report):
pass
def onSetup(*args, **kwargs):
pass
def onTeardown(*args, **kwargs):
pass
def onIter(*args, **kwargs):
pass
| 10.62963 | 34 | 0.641115 | 36 | 287 | 5.055556 | 0.5 | 0.230769 | 0.230769 | 0.197802 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.233449 | 287 | 26 | 35 | 11.038462 | 0.827273 | 0 | 0 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | false | 0.5 | 0 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 |
c52703bc94d79f6d2f7ba6c42d6f493cf0e42f40 | 3,589 | py | Python | Minecraft Builder/shapes.py | mozancetin/MinecraftBuilder | 49bea19dc5b5bc81fb637ed3f7c11c38d9effac6 | [
"MIT"
] | null | null | null | Minecraft Builder/shapes.py | mozancetin/MinecraftBuilder | 49bea19dc5b5bc81fb637ed3f7c11c38d9effac6 | [
"MIT"
] | null | null | null | Minecraft Builder/shapes.py | mozancetin/MinecraftBuilder | 49bea19dc5b5bc81fb637ed3f7c11c38d9effac6 | [
"MIT"
] | null | null | null | import pyautogui
import time
class Cube:
def __init__(self, material : str, side_length : int, startPoint : str):
self.material = material
self.side_length = side_length - 1
self.startPoint = startPoint
self.x, self.y, self.z = self.startPoint.split(" ")
def build(self):
self.startPoints = [f"{self.x} {self.y} {self.z}", f"{self.x} {self.y} {self.z}", f"{self.x} {self.y} {self.z}", f"{int(self.x) + self.side_length} {self.y} {int(self.z) + self.side_length}", f"{int(self.x) + self.side_length} {self.y} {int(self.z) + self.side_length}", f"{self.x} {int(self.y) + self.side_length} {self.z}"]
self.endPoints = [f"{self.x} {int(self.y) + self.side_length} {int(self.z) + self.side_length}", f"{int(self.x) + self.side_length} {self.y} {int(self.z) + self.side_length}", f"{int(self.x) + self.side_length} {int(self.y) + self.side_length} {self.z}", f"{self.x} {int(self.y) + self.side_length} {int(self.z) + self.side_length}", f"{int(self.x) + self.side_length} {int(self.y) + self.side_length} {self.z}", f"{int(self.x) + self.side_length} {int(self.y) + self.side_length} {int(self.z) + self.side_length}"]
for x in range(5):
print(f"Cube creating is starting in {5 - x} sec...")
time.sleep(1)
for i, j in zip(self.startPoints, self.endPoints):
pyautogui.press("t")
pyautogui.write(f"/fill {i} {j} {self.material}")
pyautogui.press("enter")
time.sleep(0.5)
self.x = str(int(self.x) + 1)
self.y = str(int(self.y) + 1)
self.z = str(int(self.z) + 1)
self.startPoint = f"{self.x} {self.y} {self.z}"
self.side_length -= 2
self.clear(wait=0)
def buildFilled(self, wait : int = 5):
for x in range(wait):
print(f"Filled cube creating is starting in {wait - x} sec...")
time.sleep(1)
pyautogui.press("t")
pyautogui.write(f"/fill {self.startPoint} {int(self.x) + self.side_length} {int(self.y) + self.side_length} {int(self.z) + self.side_length} {self.material}")
pyautogui.press("enter")
time.sleep(0.5)
def clear(self, wait : int = 5):
self.temp = self.material
self.material = "air"
self.buildFilled(wait=wait)
self.material = self.temp
del self.temp
class Pyramid:
def __init__(self, material : str, side_length : int, startPoint : str):
self.material = material
self.side_length = side_length - 1
self.startPoint = startPoint
self.x, self.y, self.z = self.startPoint.split(" ")
def buildFilled(self):
self.startPoints = []
self.endPoints = []
for i in range(0, int(self.side_length//2) + 1):
self.startPoints.append(f"{int(self.x) + i} {int(self.y) + i} {int(self.z) + i}")
self.endPoints.append(f"{int(self.x) + self.side_length - i} {int(self.y) + i} {int(self.z) + self.side_length - i}")
for x in range(5):
print(f"Pyramid creating is starting in {5 - x} sec...")
time.sleep(1)
for i, j in zip(self.startPoints, self.endPoints):
pyautogui.press("t")
pyautogui.write(f"/fill {i} {j} {self.material}")
pyautogui.press("enter")
time.sleep(0.5)
def clear(self):
self.temp = self.material
self.material = "air"
self.buildFilled()
self.material = self.temp
del self.temp
| 44.8625 | 524 | 0.567846 | 521 | 3,589 | 3.836852 | 0.099808 | 0.155078 | 0.189095 | 0.058529 | 0.81941 | 0.782891 | 0.775888 | 0.688344 | 0.667834 | 0.604302 | 0 | 0.009452 | 0.263026 | 3,589 | 79 | 525 | 45.43038 | 0.746314 | 0 | 0 | 0.553846 | 0 | 0.184615 | 0.364206 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.107692 | false | 0 | 0.030769 | 0 | 0.169231 | 0.046154 | 0 | 0 | 0 | null | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
c52e3a6f733337a5e9c190e034393171c880610c | 440 | py | Python | Sudoku solver/main.py | abhigyaraval/Python-Projects | 83a62cbd8ba4298a5a4bd2c0f6dda4d111cf2ec2 | [
"Apache-2.0"
] | null | null | null | Sudoku solver/main.py | abhigyaraval/Python-Projects | 83a62cbd8ba4298a5a4bd2c0f6dda4d111cf2ec2 | [
"Apache-2.0"
] | null | null | null | Sudoku solver/main.py | abhigyaraval/Python-Projects | 83a62cbd8ba4298a5a4bd2c0f6dda4d111cf2ec2 | [
"Apache-2.0"
] | null | null | null | # Sudoku solver >> main.py--- Main entry point into the program
# Author: Abhigya Raval
import numpy as np
# from utils import
# Define input
grid = [[5,3,0,0,7,0,0,0,0],
[6,0,0,1,9,5,0,0,0],
[0,9,8,0,0,0,0,6,0],
[8,0,0,0,6,0,0,0,3],
[4,0,0,8,0,3,0,0,1],
[7,0,0,0,2,0,0,0,6],
[0,6,0,0,0,0,2,8,0],
[0,0,0,4,1,9,0,0,5],
[0,0,0,0,8,0,0,7,9]]
grid = np.matrix(grid)
print(grid) | 23.157895 | 63 | 0.488636 | 110 | 440 | 1.954545 | 0.3 | 0.297674 | 0.223256 | 0.111628 | 0.209302 | 0.088372 | 0 | 0 | 0 | 0 | 0 | 0.243243 | 0.243182 | 440 | 19 | 64 | 23.157895 | 0.402402 | 0.259091 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.083333 | 0 | 0.083333 | 0.083333 | 0 | 0 | 1 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
c536dc87437d24a08301c29d3cc3b66c011383d2 | 57 | py | Python | configtest/sublevel/test_02.py | Euclid-Python/Python-pytest | a4b28e0b9b29fb8ef9e62cef1bf19ca6a54bd84f | [
"MIT"
] | 1 | 2019-11-15T09:57:09.000Z | 2019-11-15T09:57:09.000Z | configtest/sublevel/test_02.py | Euclid-Python/Python-pytest | a4b28e0b9b29fb8ef9e62cef1bf19ca6a54bd84f | [
"MIT"
] | 9 | 2019-10-17T15:28:47.000Z | 2019-10-22T19:04:04.000Z | configtest/sublevel/test_02.py | Euclid-Python/Python-pytest | a4b28e0b9b29fb8ef9e62cef1bf19ca6a54bd84f | [
"MIT"
] | 1 | 2019-11-15T09:57:12.000Z | 2019-11-15T09:57:12.000Z | def test_it(my_fixture):
assert my_fixture == "sublevel" | 28.5 | 32 | 0.77193 | 9 | 57 | 4.555556 | 0.777778 | 0.439024 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.105263 | 57 | 2 | 32 | 28.5 | 0.803922 | 0 | 0 | 0 | 0 | 0 | 0.137931 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0.5 | false | 0 | 0 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
c5387582584b013c9644ac32740fb3eaabb5e863 | 69 | py | Python | simplecoremidi/__init__.py | cclauss/simplecoremidi | cf951eefe4e85fc709c40248aa55682b7c7f3663 | [
"MIT"
] | 23 | 2015-09-10T18:32:21.000Z | 2022-03-25T14:47:57.000Z | simplecoremidi/__init__.py | cclauss/simplecoremidi | cf951eefe4e85fc709c40248aa55682b7c7f3663 | [
"MIT"
] | null | null | null | simplecoremidi/__init__.py | cclauss/simplecoremidi | cf951eefe4e85fc709c40248aa55682b7c7f3663 | [
"MIT"
] | 9 | 2016-10-23T02:16:26.000Z | 2022-03-25T14:47:59.000Z | from .core import send_midi, recv_midi, MIDISource, MIDIDestination
| 23 | 67 | 0.826087 | 9 | 69 | 6.111111 | 0.888889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.115942 | 69 | 2 | 68 | 34.5 | 0.901639 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
c53ef1b13941f52e3c47c9034735f1512dc61268 | 260 | py | Python | cctbx/eltbx/wavelengths.py | dperl-sol/cctbx_project | b9e390221a2bc4fd00b9122e97c3b79c632c6664 | [
"BSD-3-Clause-LBNL"
] | 155 | 2016-11-23T12:52:16.000Z | 2022-03-31T15:35:44.000Z | cctbx/eltbx/wavelengths.py | dperl-sol/cctbx_project | b9e390221a2bc4fd00b9122e97c3b79c632c6664 | [
"BSD-3-Clause-LBNL"
] | 590 | 2016-12-10T11:31:18.000Z | 2022-03-30T23:10:09.000Z | cctbx/eltbx/wavelengths.py | dperl-sol/cctbx_project | b9e390221a2bc4fd00b9122e97c3b79c632c6664 | [
"BSD-3-Clause-LBNL"
] | 115 | 2016-11-15T08:17:28.000Z | 2022-02-09T15:30:14.000Z | from __future__ import absolute_import, division, print_function
import boost_adaptbx.boost.python as bp
ext = bp.import_ext("cctbx_eltbx_wavelengths_ext")
from cctbx_eltbx_wavelengths_ext import *
bp.inject(ext.characteristic_iterator, bp.py3_make_iterator)
| 37.142857 | 64 | 0.857692 | 38 | 260 | 5.421053 | 0.552632 | 0.097087 | 0.203884 | 0.23301 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004167 | 0.076923 | 260 | 6 | 65 | 43.333333 | 0.854167 | 0 | 0 | 0 | 0 | 0 | 0.103846 | 0.103846 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.8 | 0 | 0.8 | 0.2 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
c557134cb91649aad83e4391aca917536b5eb4c4 | 148 | py | Python | tests/test_problems.py | feimeng93/probabilistic-bvp-solver | d6b38d4ff7b3ab6cf3003de30eb2f6eeb42c0beb | [
"MIT"
] | null | null | null | tests/test_problems.py | feimeng93/probabilistic-bvp-solver | d6b38d4ff7b3ab6cf3003de30eb2f6eeb42c0beb | [
"MIT"
] | null | null | null | tests/test_problems.py | feimeng93/probabilistic-bvp-solver | d6b38d4ff7b3ab6cf3003de30eb2f6eeb42c0beb | [
"MIT"
] | null | null | null | import sys
sys.path.append("..")
from bvps.problems import BoundaryValueProblem, SecondOrderBoundaryValueProblem
def test_sth():
assert True
| 16.444444 | 79 | 0.783784 | 16 | 148 | 7.1875 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.128378 | 148 | 8 | 80 | 18.5 | 0.891473 | 0 | 0 | 0 | 0 | 0 | 0.013514 | 0 | 0 | 0 | 0 | 0 | 0.2 | 1 | 0.2 | true | 0 | 0.4 | 0 | 0.6 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
3d708919ab52cbafcd27d581ad479409e132b53d | 221 | py | Python | learn-to-code-with-python/32-PROJECT-Texas-Hold-Em-Poker/poker/validators/no_cards_validator.py | MaciejZurek/python_practicing | 0a426f2aed151573e1f8678e0239ff596d92bbde | [
"MIT"
] | null | null | null | learn-to-code-with-python/32-PROJECT-Texas-Hold-Em-Poker/poker/validators/no_cards_validator.py | MaciejZurek/python_practicing | 0a426f2aed151573e1f8678e0239ff596d92bbde | [
"MIT"
] | null | null | null | learn-to-code-with-python/32-PROJECT-Texas-Hold-Em-Poker/poker/validators/no_cards_validator.py | MaciejZurek/python_practicing | 0a426f2aed151573e1f8678e0239ff596d92bbde | [
"MIT"
] | null | null | null | class NoCardsValidator():
def __init__(self, cards):
self.cards = cards
self.name = "No Cards"
def is_valid(self):
return len(self.cards) == 0
def valid_cards(self):
return [] | 22.1 | 35 | 0.579186 | 27 | 221 | 4.518519 | 0.481481 | 0.221311 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006494 | 0.303167 | 221 | 10 | 36 | 22.1 | 0.785714 | 0 | 0 | 0 | 0 | 0 | 0.036036 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.375 | false | 0 | 0 | 0.25 | 0.75 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 5 |
3d9916c557bc67e5bd8f6ca6600efe79905f2a2f | 301 | py | Python | death/tranreference/__init__.py | Fuchai/mayoehr | ec79d2157bedf4f4f0fc783d86523df8a758e27c | [
"MIT"
] | null | null | null | death/tranreference/__init__.py | Fuchai/mayoehr | ec79d2157bedf4f4f0fc783d86523df8a758e27c | [
"MIT"
] | null | null | null | death/tranreference/__init__.py | Fuchai/mayoehr | ec79d2157bedf4f4f0fc783d86523df8a758e27c | [
"MIT"
] | null | null | null | # import death.tran.Constants
# import death.tran.Modules
# import death.tran.Optim
# from death import tran
# __all__ = [
# death.tran.Constants, death.tran.Modules, death.tran.Layers,
# death.tran.SubLayers, death.tran.Models, death.tran.Optim,
# death.tran.Translator, death.tran.Beam]
| 33.444444 | 66 | 0.730897 | 41 | 301 | 5.268293 | 0.317073 | 0.458333 | 0.208333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.136213 | 301 | 8 | 67 | 37.625 | 0.830769 | 0.943522 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
3d9a254310be70392a9126c73001e1c6adaf42ef | 83 | py | Python | allegro/__init__.py | xnetcat/allegro-scraper | 463ca6830d44daa0533cf1b837802f5acfb705ff | [
"MIT"
] | null | null | null | allegro/__init__.py | xnetcat/allegro-scraper | 463ca6830d44daa0533cf1b837802f5acfb705ff | [
"MIT"
] | null | null | null | allegro/__init__.py | xnetcat/allegro-scraper | 463ca6830d44daa0533cf1b837802f5acfb705ff | [
"MIT"
] | null | null | null | from allegro.console import console_entry_point
__all__ = ["console_entry_point"]
| 20.75 | 47 | 0.831325 | 11 | 83 | 5.545455 | 0.636364 | 0.393443 | 0.557377 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.096386 | 83 | 3 | 48 | 27.666667 | 0.813333 | 0 | 0 | 0 | 0 | 0 | 0.228916 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
3d9d25c2b7bc2e5c688d6e3e9340c16a48c3d270 | 129 | py | Python | _solutions/basics/sequences/sequence_slice_c.py | sages-pl/2022-01-pythonsqlalchemy-aptiv | 1d6d856608e9dbe25b139e8968c48b7f46753b84 | [
"MIT"
] | null | null | null | _solutions/basics/sequences/sequence_slice_c.py | sages-pl/2022-01-pythonsqlalchemy-aptiv | 1d6d856608e9dbe25b139e8968c48b7f46753b84 | [
"MIT"
] | null | null | null | _solutions/basics/sequences/sequence_slice_c.py | sages-pl/2022-01-pythonsqlalchemy-aptiv | 1d6d856608e9dbe25b139e8968c48b7f46753b84 | [
"MIT"
] | null | null | null |
result = set()
result.update(a[::2])
result.update(b[::2])
# Alternative Solution
result = set()
result.update(a[::2], b[::2])
| 14.333333 | 29 | 0.627907 | 20 | 129 | 4.05 | 0.4 | 0.444444 | 0.37037 | 0.518519 | 0.567901 | 0.567901 | 0 | 0 | 0 | 0 | 0 | 0.035088 | 0.116279 | 129 | 8 | 30 | 16.125 | 0.675439 | 0.155039 | 0 | 0.4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
3db2f75c3d4ef29ce291e60b33cbff05dc94fd4e | 200 | py | Python | test.py | GA10v/calories_python_kafka | 788ccf7669a0226455ad123b9afd863237c54b7c | [
"Apache-2.0"
] | null | null | null | test.py | GA10v/calories_python_kafka | 788ccf7669a0226455ad123b9afd863237c54b7c | [
"Apache-2.0"
] | null | null | null | test.py | GA10v/calories_python_kafka | 788ccf7669a0226455ad123b9afd863237c54b7c | [
"Apache-2.0"
] | null | null | null | import requests
r = requests.get('https://www.allrecipes.com/recipe/14172/caesar-salad-supreme/')
print(r.text)
s = r.text
print()
print('==================================')
print()
print(s.strip()) | 25 | 81 | 0.59 | 26 | 200 | 4.538462 | 0.653846 | 0.254237 | 0.254237 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.026738 | 0.065 | 200 | 8 | 82 | 25 | 0.604278 | 0 | 0 | 0.25 | 0 | 0 | 0.472637 | 0.169154 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.125 | 0.625 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 |
3dc5f3736b20f52ea545e96328f66257c27418c6 | 157 | py | Python | muni_portal/core/apps.py | desafinadude/muni-portal-backend | 9ffc447194b8f29619585cd919f67d62062457a3 | [
"MIT"
] | 1 | 2021-01-18T13:01:04.000Z | 2021-01-18T13:01:04.000Z | muni_portal/core/apps.py | desafinadude/muni-portal-backend | 9ffc447194b8f29619585cd919f67d62062457a3 | [
"MIT"
] | 42 | 2020-08-29T08:55:53.000Z | 2021-04-14T16:41:29.000Z | muni_portal/core/apps.py | desafinadude/muni-portal-backend | 9ffc447194b8f29619585cd919f67d62062457a3 | [
"MIT"
] | 2 | 2020-10-28T16:34:41.000Z | 2022-02-07T10:29:31.000Z | from django.apps import AppConfig
class CoreConfig(AppConfig):
name = 'muni_portal.core'
def ready(self):
import muni_portal.core.signals
| 17.444444 | 39 | 0.713376 | 20 | 157 | 5.5 | 0.75 | 0.181818 | 0.254545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.203822 | 157 | 8 | 40 | 19.625 | 0.88 | 0 | 0 | 0 | 0 | 0 | 0.101911 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.4 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
3de83f8b93aba7fc296f7f1637c9a041a24f4bbd | 6,733 | py | Python | test/test_cli.py | AndrewCopeland/conjur-api-python3 | fc779ffd8ecbd74da831c5602e47a80b9122fde4 | [
"Apache-2.0"
] | null | null | null | test/test_cli.py | AndrewCopeland/conjur-api-python3 | fc779ffd8ecbd74da831c5602e47a80b9122fde4 | [
"Apache-2.0"
] | null | null | null | test/test_cli.py | AndrewCopeland/conjur-api-python3 | fc779ffd8ecbd74da831c5602e47a80b9122fde4 | [
"Apache-2.0"
] | null | null | null | import unittest
from unittest.mock import patch
from .util.cli_helpers import cli_arg_test, cli_test
from conjur.version import __version__
from conjur.cli import Cli
RESOURCE_LIST = [
'some_id1',
'some_id2',
]
class CliTest(unittest.TestCase):
@cli_test()
def test_cli_without_args_shows_help(self, cli_invocation, output, client):
self.assertIn("usage: cli", output)
@patch('conjur.cli.Cli')
def test_cli_is_run_when_launch_is_invoked(self, cli_instance):
Cli.launch()
cli_instance.return_value.run.assert_called_once_with()
@cli_test(["-h"])
def test_cli_shows_help_with_short_help_flag(self, cli_invocation, output, client):
self.assertIn("usage: cli", output)
@cli_test(["--help"])
def test_cli_shows_help_with_long_help_flag(self, cli_invocation, output, client):
self.assertIn("usage: cli", output)
@cli_test(["-v"])
def test_cli_shows_version_with_short_version_flag(self, cli_invocation, output, client):
self.assertEquals("cli v{}\n".format(__version__), output)
@cli_test(["--version"])
def test_cli_shows_version_with_long_version_flag(self, cli_invocation, output, client):
self.assertEquals("cli v{}\n".format(__version__), output)
# Optional params
# Account
@cli_arg_test(["-a", "myaccount"], account='myaccount')
def test_cli_passes_account_short_flag_to_client(self): pass
@cli_arg_test(["--account", "myaccount"], account='myaccount')
def test_cli_passes_account_long_flag_to_client(self): pass
# API key
@cli_arg_test(["-k", "myapikey"], api_key='myapikey')
def test_cli_passes_api_key_short_flag_to_client(self): pass
@cli_arg_test(["--api-key", "myapikey"], api_key='myapikey')
def test_cli_passes_api_key_long_flag_to_client(self): pass
# CA Bundle
@cli_arg_test(["-c", "mycabundle"], ca_bundle='mycabundle')
def test_cli_passes_ca_bundle_short_flag_to_client(self): pass
@cli_arg_test(["--ca-bundle", "mycabundle"], ca_bundle='mycabundle')
def test_cli_passes_ca_bundle_long_flag_to_client(self): pass
# Debug
@cli_arg_test(["-d"], debug=True)
def test_cli_passes_debug_short_flag_to_client(self): pass
@cli_arg_test(["--debug"], debug=True)
def test_cli_passes_debug_long_flag_to_client(self): pass
@cli_arg_test(["--verbose"], debug=True)
def test_cli_passes_verbose_as_the_debug_long_flag_to_client(self): pass
# User
@cli_arg_test(["-u", "myuser"], login_id='myuser')
def test_cli_passes_login_id_short_flag_to_client(self): pass
@cli_arg_test(["--user", "myuser"], login_id='myuser')
def test_cli_passes_login_id_long_flag_to_client(self): pass
# Password
@cli_arg_test(["-p", "mypassword"], password='mypassword')
def test_cli_passes_password_short_flag_to_client(self): pass
@cli_arg_test(["--password", "mypassword"], password='mypassword')
def test_cli_passes_password_long_flag_to_client(self): pass
# SSL Verify
@cli_arg_test(["--insecure"], ssl_verify=False)
def test_cli_passes_insecure_flag_to_client(self): pass
# URL
@cli_arg_test(["-l", "myurl"], url='myurl')
def test_cli_passes_url_short_flag_to_client(self): pass
@cli_arg_test(["--url", "myurl"], url='myurl')
def test_cli_passes_url_long_flag_to_client(self): pass
# Main method invocations
@cli_test(["variable", "set", "foo", "bar"])
def test_cli_invokes_variable_set_correctly(self, cli_invocation, output, client):
client.set.assert_called_once_with('foo', 'bar')
@cli_test(["variable"])
def test_cli_variable_parser_doesnt_break_without_action(self, cli_invocation, output, client):
self.assertIn("usage: cli", output)
@cli_test(["variable", "get", "foo"])
def test_cli_invokes_variable_get_correctly(self, cli_invocation, output, client):
client.get.assert_called_once_with('foo')
@cli_test(["variable", "get", "foo", "bar"], get_many_output={"foo": "A", "bar": "B"})
def test_cli_invokes_variable_get_correctly_with_multiple_vars(self, cli_invocation, output, client):
client.get_many.assert_called_once_with('foo', 'bar')
@cli_test(["variable", "get", "foo", "bar"], get_many_output={})
def test_cli_variable_get_with_multiple_vars_doesnt_break_on_empty_input(self, cli_invocation, output, client):
self.assertEquals('{}\n', output)
@cli_test(["variable", "get", "foo", "bar"], get_many_output={"foo": "A", "bar": "B"})
def test_cli_variable_get_with_multiple_vars_outputs_formatted_json(self, cli_invocation, output, client):
self.assertEquals('{\n "foo": "A",\n "bar": "B"\n}\n', output)
@cli_test(["policy"])
def test_cli_policy_parser_doesnt_break_without_action(self, cli_invocation, output, client):
self.assertIn("usage: cli", output)
@cli_test(["policy", "apply", "foo", "foopolicy"])
def test_cli_invokes_policy_apply_correctly(self, cli_invocation, output, client):
client.apply_policy_file.assert_called_once_with('foo', 'foopolicy')
@cli_test(["policy", "apply", "foo", "foopolicy"], policy_change_output={})
def test_cli_policy_apply_doesnt_break_on_empty_input(self, cli_invocation, output, client):
self.assertEquals('{}\n', output)
@cli_test(["policy", "apply", "foo", "foopolicy"], policy_change_output={"foo": "A", "bar": "B"})
def test_cli_policy_apply_outputs_formatted_json(self, cli_invocation, output, client):
self.assertEquals('{\n "foo": "A",\n "bar": "B"\n}\n', output)
@cli_test(["policy", "replace", "foo", "foopolicy"])
def test_cli_invokes_policy_replace_correctly(self, cli_invocation, output, client):
client.replace_policy_file.assert_called_once_with('foo', 'foopolicy')
@cli_test(["policy", "replace", "foo", "foopolicy"], policy_change_output={})
def test_cli_policy_replace_doesnt_break_on_empty_input(self, cli_invocation, output, client):
self.assertEquals('{}\n', output)
@cli_test(["policy", "replace", "foo", "foopolicy"], policy_change_output={"foo": "A", "bar": "B"})
def test_cli_policy_replace_outputs_formatted_json(self, cli_invocation, output, client):
self.assertEquals('{\n "foo": "A",\n "bar": "B"\n}\n', output)
@cli_test(["list"], list_output=RESOURCE_LIST)
def test_cli_invokes_resource_listing_correctly(self, cli_invocation, output, client):
client.list.assert_called_once_with()
@cli_test(["list"], list_output=RESOURCE_LIST)
def test_cli_resource_listing_outputs_formatted_json(self, cli_invocation, output, client):
self.assertEquals('[\n "some_id1",\n "some_id2"\n]\n', output)
| 41.561728 | 115 | 0.710233 | 938 | 6,733 | 4.663113 | 0.126866 | 0.060814 | 0.084591 | 0.105167 | 0.814129 | 0.793096 | 0.718107 | 0.608825 | 0.522634 | 0.416324 | 0 | 0.000694 | 0.144364 | 6,733 | 161 | 116 | 41.819876 | 0.758549 | 0.014852 | 0 | 0.160377 | 0 | 0 | 0.133796 | 0 | 0 | 0 | 0 | 0 | 0.198113 | 1 | 0.349057 | false | 0.169811 | 0.04717 | 0 | 0.40566 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 |
9a82238ea0dc1d41dd0369aeb609e2e67e1efe24 | 13,538 | py | Python | kelner/imagenet.py | lunardog/kelner | 6a3cc5bfaaf2d0933234460e7a2736c3e3fa391b | [
"MIT"
] | 24 | 2018-02-21T06:57:05.000Z | 2022-03-31T07:12:10.000Z | kelner/imagenet.py | lunardog/kelner | 6a3cc5bfaaf2d0933234460e7a2736c3e3fa391b | [
"MIT"
] | 2 | 2018-07-11T07:13:34.000Z | 2018-08-29T06:18:22.000Z | kelner/imagenet.py | lunardog/kelner | 6a3cc5bfaaf2d0933234460e7a2736c3e3fa391b | [
"MIT"
] | 5 | 2018-03-27T07:53:42.000Z | 2018-11-21T15:57:31.000Z |
IMAGENET_LABELS = ['dummy', 'kit fox', 'English setter', 'Siberian husky', 'Australian terrier', 'English springer', 'grey whale', 'lesser panda', 'Egyptian cat', 'ibex', 'Persian cat', 'cougar', 'gazelle', 'porcupine', 'sea lion', 'malamute', 'badger', 'Great Dane', 'Walker hound', 'Welsh springer spaniel', 'whippet', 'Scottish deerhound', 'killer whale', 'mink', 'African elephant', 'Weimaraner', 'soft-coated wheaten terrier', 'Dandie Dinmont', 'red wolf', 'Old English sheepdog', 'jaguar', 'otterhound', 'bloodhound', 'Airedale', 'hyena', 'meerkat', 'giant schnauzer', 'titi', 'three-toed sloth', 'sorrel', 'black-footed ferret', 'dalmatian', 'black-and-tan coonhound', 'papillon', 'skunk', 'Staffordshire bullterrier', 'Mexican hairless', 'Bouvier des Flandres', 'weasel', 'miniature poodle', 'Cardigan', 'malinois', 'bighorn', 'fox squirrel', 'colobus', 'tiger cat', 'Lhasa', 'impala', 'coyote', 'Yorkshire terrier', 'Newfoundland', 'brown bear', 'red fox', 'Norwegian elkhound', 'Rottweiler', 'hartebeest', 'Saluki', 'grey fox', 'schipperke', 'Pekinese', 'Brabancon griffon', 'West Highland white terrier', 'Sealyham terrier', 'guenon', 'mongoose', 'indri', 'tiger', 'Irish wolfhound', 'wild boar', 'EntleBucher', 'zebra', 'ram', 'French bulldog', 'orangutan', 'basenji', 'leopard', 'Bernese mountain dog', 'Maltese dog', 'Norfolk terrier', 'toy terrier', 'vizsla', 'cairn', 'squirrel monkey', 'groenendael', 'clumber', 'Siamese cat', 'chimpanzee', 'komondor', 'Afghan hound', 'Japanese spaniel', 'proboscis monkey', 'guinea pig', 'white wolf', 'ice bear', 'gorilla', 'borzoi', 'toy poodle', 'Kerry blue terrier', 'ox', 'Scotch terrier', 'Tibetan mastiff', 'spider monkey', 'Doberman', 'Boston bull', 'Greater Swiss Mountain dog', 'Appenzeller', 'Shih-Tzu', 'Irish water spaniel', 'Pomeranian', 'Bedlington terrier', 'warthog', 'Arabian camel', 'siamang', 'miniature schnauzer', 'collie', 'golden retriever', 'Irish terrier', 'affenpinscher', 'Border collie', 'hare', 'boxer', 'silky terrier', 'beagle', 'Leonberg', 'German short-haired pointer', 'patas', 'dhole', 'baboon', 'macaque', 'Chesapeake Bay retriever', 'bull mastiff', 'kuvasz', 'capuchin', 'pug', 'curly-coated retriever', 'Norwich terrier', 'flat-coated retriever', 'hog', 'keeshond', 'Eskimo dog', 'Brittany spaniel', 'standard poodle', 'Lakeland terrier', 'snow leopard', 'Gordon setter', 'dingo', 'standard schnauzer', 'hamster', 'Tibetan terrier', 'Arctic fox', 'wire-haired fox terrier', 'basset', 'water buffalo', 'American black bear', 'Angora', 'bison', 'howler monkey', 'hippopotamus', 'chow', 'giant panda', 'American Staffordshire terrier', 'Shetland sheepdog', 'Great Pyrenees', 'Chihuahua', 'tabby', 'marmoset', 'Labrador retriever', 'Saint Bernard', 'armadillo', 'Samoyed', 'bluetick', 'redbone', 'polecat', 'marmot', 'kelpie', 'gibbon', 'llama', 'miniature pinscher', 'wood rabbit', 'Italian greyhound', 'lion', 'cocker spaniel', 'Irish setter', 'dugong', 'Indian elephant', 'beaver', 'Sussex spaniel', 'Pembroke', 'Blenheim spaniel', 'Madagascar cat', 'Rhodesian ridgeback', 'lynx', 'African hunting dog', 'langur', 'Ibizan hound', 'timber wolf', 'cheetah', 'English foxhound', 'briard', 'sloth bear', 'Border terrier', 'German shepherd', 'otter', 'koala', 'tusker', 'echidna', 'wallaby', 'platypus', 'wombat', 'revolver', 'umbrella', 'schooner', 'soccer ball', 'accordion', 'ant', 'starfish', 'chambered nautilus', 'grand piano', 'laptop', 'strawberry', 'airliner', 'warplane', 'airship', 'balloon', 'space shuttle', 'fireboat', 'gondola', 'speedboat', 'lifeboat', 'canoe', 'yawl', 'catamaran', 'trimaran', 'container ship', 'liner', 'pirate', 'aircraft carrier', 'submarine', 'wreck', 'half track', 'tank', 'missile', 'bobsled', 'dogsled', 'bicycle-built-for-two', 'mountain bike', 'freight car', 'passenger car', 'barrow', 'shopping cart', 'motor scooter', 'forklift', 'electric locomotive', 'steam locomotive', 'amphibian', 'ambulance', 'beach wagon', 'cab', 'convertible', 'jeep', 'limousine', 'minivan', 'Model T', 'racer', 'sports car', 'go-kart', 'golfcart', 'moped', 'snowplow', 'fire engine', 'garbage truck', 'pickup', 'tow truck', 'trailer truck', 'moving van', 'police van', 'recreational vehicle', 'streetcar', 'snowmobile', 'tractor', 'mobile home', 'tricycle', 'unicycle', 'horse cart', 'jinrikisha', 'oxcart', 'bassinet', 'cradle', 'crib', 'four-poster', 'bookcase', 'china cabinet', 'medicine chest', 'chiffonier', 'table lamp', 'file', 'park bench', 'barber chair', 'throne', 'folding chair', 'rocking chair', 'studio couch', 'toilet seat', 'desk', 'pool table', 'dining table', 'entertainment center', 'wardrobe', 'Granny Smith', 'orange', 'lemon', 'fig', 'pineapple', 'banana', 'jackfruit', 'custard apple', 'pomegranate', 'acorn', 'hip', 'ear', 'rapeseed', 'corn', 'buckeye', 'organ', 'upright', 'chime', 'drum', 'gong', 'maraca', 'marimba', 'steel drum', 'banjo', 'cello', 'violin', 'harp', 'acoustic guitar', 'electric guitar', 'cornet', 'French horn', 'trombone', 'harmonica', 'ocarina', 'panpipe', 'bassoon', 'oboe', 'sax', 'flute', 'daisy', 'yellow lady\'s slipper', 'cliff', 'valley', 'alp', 'volcano', 'promontory', 'sandbar', 'coral reef', 'lakeside', 'seashore', 'geyser', 'hatchet', 'cleaver', 'letter opener', 'plane', 'power drill', 'lawn mower', 'hammer', 'corkscrew', 'can opener', 'plunger', 'screwdriver', 'shovel', 'plow', 'chain saw', 'cock', 'hen', 'ostrich', 'brambling', 'goldfinch', 'house finch', 'junco', 'indigo bunting', 'robin', 'bulbul', 'jay', 'magpie', 'chickadee', 'water ouzel', 'kite', 'bald eagle', 'vulture', 'great grey owl', 'black grouse', 'ptarmigan', 'ruffed grouse', 'prairie chicken', 'peacock', 'quail', 'partridge', 'African grey', 'macaw', 'sulphur-crested cockatoo', 'lorikeet', 'coucal', 'bee eater', 'hornbill', 'hummingbird', 'jacamar', 'toucan', 'drake', 'red-breasted merganser', 'goose', 'black swan', 'white stork', 'black stork', 'spoonbill', 'flamingo', 'American egret', 'little blue heron', 'bittern', 'crane', 'limpkin', 'American coot', 'bustard', 'ruddy turnstone', 'red-backed sandpiper', 'redshank', 'dowitcher', 'oystercatcher', 'European gallinule', 'pelican', 'king penguin', 'albatross', 'great white shark', 'tiger shark', 'hammerhead', 'electric ray', 'stingray', 'barracouta', 'coho', 'tench', 'goldfish', 'eel', 'rock beauty', 'anemone fish', 'lionfish', 'puffer', 'sturgeon', 'gar', 'loggerhead', 'leatherback turtle', 'mud turtle', 'terrapin', 'box turtle', 'banded gecko', 'common iguana', 'American chameleon', 'whiptail', 'agama', 'frilled lizard', 'alligator lizard', 'Gila monster', 'green lizard', 'African chameleon', 'Komodo dragon', 'triceratops', 'African crocodile', 'American alligator', 'thunder snake', 'ringneck snake', 'hognose snake', 'green snake', 'king snake',
'garter snake', 'water snake', 'vine snake', 'night snake', 'boa constrictor', 'rock python', 'Indian cobra', 'green mamba', 'sea snake', 'horned viper', 'diamondback', 'sidewinder', 'European fire salamander', 'common newt', 'eft', 'spotted salamander', 'axolotl', 'bullfrog', 'tree frog', 'tailed frog', 'whistle', 'wing', 'paintbrush', 'hand blower', 'oxygen mask', 'snorkel', 'loudspeaker', 'microphone', 'screen', 'mouse', 'electric fan', 'oil filter', 'strainer', 'space heater', 'stove', 'guillotine', 'barometer', 'rule', 'odometer', 'scale', 'analog clock', 'digital clock', 'wall clock', 'hourglass', 'sundial', 'parking meter', 'stopwatch', 'digital watch', 'stethoscope', 'syringe', 'magnetic compass', 'binoculars', 'projector', 'sunglasses', 'loupe', 'radio telescope', 'bow', 'cannon[ground]', 'assault rifle', 'rifle', 'projectile', 'computer keyboard', 'typewriter keyboard', 'crane', 'lighter', 'abacus', 'cash machine', 'slide rule', 'desktop computer', 'hand-held computer', 'notebook', 'web site', 'harvester', 'thresher', 'printer', 'slot', 'vending machine', 'sewing machine', 'joystick', 'switch', 'hook', 'car wheel', 'paddlewheel', 'pinwheel', 'potter\'s wheel', 'gas pump', 'carousel', 'swing', 'reel', 'radiator', 'puck', 'hard disc', 'sunglass', 'pick', 'car mirror', 'solar dish', 'remote control', 'disk brake', 'buckle', 'hair slide', 'knot', 'combination lock', 'padlock', 'nail', 'safety pin', 'screw', 'muzzle', 'seat belt', 'ski', 'candle', 'jack-o\'-lantern', 'spotlight', 'torch', 'neck brace', 'pier', 'tripod', 'maypole', 'mousetrap', 'spider web', 'trilobite', 'harvestman', 'scorpion', 'black and gold garden spider', 'barn spider', 'garden spider', 'black widow', 'tarantula', 'wolf spider', 'tick', 'centipede', 'isopod', 'Dungeness crab', 'rock crab', 'fiddler crab', 'king crab', 'American lobster', 'spiny lobster', 'crayfish', 'hermit crab', 'tiger beetle', 'ladybug', 'ground beetle', 'long-horned beetle', 'leaf beetle', 'dung beetle', 'rhinoceros beetle', 'weevil', 'fly', 'bee', 'grasshopper', 'cricket', 'walking stick', 'cockroach', 'mantis', 'cicada', 'leafhopper', 'lacewing', 'dragonfly', 'damselfly', 'admiral', 'ringlet', 'monarch', 'cabbage butterfly', 'sulphur butterfly', 'lycaenid', 'jellyfish', 'sea anemone', 'brain coral', 'flatworm', 'nematode', 'conch', 'snail', 'slug', 'sea slug', 'chiton', 'sea urchin', 'sea cucumber', 'iron', 'espresso maker', 'microwave', 'Dutch oven', 'rotisserie', 'toaster', 'waffle iron', 'vacuum', 'dishwasher', 'refrigerator', 'washer', 'Crock Pot', 'frying pan', 'wok', 'caldron', 'coffeepot', 'teapot', 'spatula', 'altar', 'triumphal arch', 'patio', 'steel arch bridge', 'suspension bridge', 'viaduct', 'barn', 'greenhouse', 'palace', 'monastery', 'library', 'apiary', 'boathouse', 'church', 'mosque', 'stupa', 'planetarium', 'restaurant', 'cinema', 'home theater', 'lumbermill', 'coil', 'obelisk', 'totem pole', 'castle', 'prison', 'grocery store', 'bakery', 'barbershop', 'bookshop', 'butcher shop', 'confectionery', 'shoe shop', 'tobacco shop', 'toyshop', 'fountain', 'cliff dwelling', 'yurt', 'dock', 'brass', 'megalith', 'bannister', 'breakwater', 'dam', 'chainlink fence', 'picket fence', 'worm fence', 'stone wall', 'grille', 'sliding door', 'turnstile', 'mountain tent', 'scoreboard', 'honeycomb', 'plate rack', 'pedestal', 'beacon', 'mashed potato', 'bell pepper', 'head cabbage', 'broccoli', 'cauliflower', 'zucchini', 'spaghetti squash', 'acorn squash', 'butternut squash', 'cucumber', 'artichoke', 'cardoon', 'mushroom', 'shower curtain', 'jean', 'carton', 'handkerchief', 'sandal', 'ashcan', 'safe', 'plate', 'necklace', 'croquet ball', 'fur coat', 'thimble', 'pajama', 'running shoe', 'cocktail shaker', 'chest', 'manhole cover', 'modem', 'tub', 'tray', 'balance beam', 'bagel', 'prayer rug', 'kimono', 'hot pot', 'whiskey jug', 'knee pad', 'book jacket', 'spindle', 'ski mask', 'beer bottle', 'crash helmet', 'bottlecap', 'tile roof', 'mask', 'maillot', 'Petri dish', 'football helmet', 'bathing cap', 'teddy bear', 'holster', 'pop bottle', 'photocopier', 'vestment', 'crossword puzzle', 'golf ball', 'trifle', 'suit', 'water tower', 'feather boa', 'cloak', 'red wine', 'drumstick', 'shield', 'Christmas stocking', 'hoopskirt', 'menu', 'stage', 'bonnet', 'meat loaf', 'baseball', 'face powder', 'scabbard', 'sunscreen', 'beer glass', 'hen-of-the-woods', 'guacamole', 'lampshade', 'wool', 'hay', 'bow tie', 'mailbag', 'water jug', 'bucket', 'dishrag', 'soup bowl', 'eggnog', 'mortar', 'trench coat', 'paddle', 'chain', 'swab', 'mixing bowl', 'potpie', 'wine bottle', 'shoji', 'bulletproof vest', 'drilling platform', 'binder', 'cardigan', 'sweatshirt', 'pot', 'birdhouse', 'hamper', 'ping-pong ball', 'pencil box', 'pay-phone', 'consomme', 'apron', 'punching bag', 'backpack', 'groom', 'bearskin', 'pencil sharpener', 'broom', 'mosquito net', 'abaya', 'mortarboard', 'poncho', 'crutch', 'Polaroid camera', 'space bar', 'cup', 'racket', 'traffic light', 'quill', 'radio', 'dough', 'cuirass', 'military uniform', 'lipstick', 'shower cap', 'monitor', 'oscilloscope', 'mitten', 'brassiere', 'French loaf', 'vase', 'milk can', 'rugby ball', 'paper towel', 'earthstar', 'envelope', 'miniskirt', 'cowboy hat', 'trolleybus', 'perfume', 'bathtub', 'hotdog', 'coral fungus', 'bullet train', 'pillow', 'toilet tissue', 'cassette', 'carpenter\'s kit', 'ladle', 'stinkhorn', 'lotion', 'hair spray', 'academic gown', 'dome', 'crate', 'wig', 'burrito', 'pill bottle', 'chain mail', 'theater curtain', 'window shade', 'barrel', 'washbasin', 'ballpoint', 'basketball', 'bath towel', 'cowboy boot', 'gown', 'window screen', 'agaric', 'cellular telephone', 'nipple', 'barbell', 'mailbox', 'lab coat', 'fire screen', 'minibus', 'packet', 'maze', 'pole', 'horizontal bar', 'sombrero', 'pickelhaube', 'rain barrel', 'wallet', 'cassette player', 'comic book', 'piggy bank', 'street sign', 'bell cote', 'fountain pen', 'Windsor tie', 'volleyball', 'overskirt', 'sarong', 'purse', 'bolo tie', 'bib', 'parachute', 'sleeping bag', 'television', 'swimming trunks', 'measuring cup', 'espresso', 'pizza', 'breastplate', 'shopping basket', 'wooden spoon', 'saltshaker', 'chocolate sauce', 'ballplayer', 'goblet', 'gyromitra', 'stretcher', 'water bottle', 'dial telephone', 'soap dispenser', 'jersey', 'school bus', 'jigsaw puzzle', 'plastic bag', 'reflex camera', 'diaper', 'Band Aid', 'ice lolly', 'velvet', 'tennis ball', 'gasmask', 'doormat', 'Loafer', 'ice cream', 'pretzel', 'quilt', 'maillot', 'tape player', 'clog', 'iPod', 'bolete', 'scuba diver', 'pitcher', 'matchstick', 'bikini', 'sock', 'CD player', 'lens cap', 'thatch', 'vault', 'beaker', 'bubble', 'cheeseburger', 'parallel bars', 'flagpole', 'coffee mug', 'rubber eraser', 'stole', 'carbonara', 'dumbbell']
| 3,384.5 | 6,773 | 0.667159 | 1,475 | 13,538 | 6.122712 | 0.781017 | 0.001772 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.10814 | 13,538 | 3 | 6,774 | 4,512.666667 | 0.747971 | 0 | 0 | 0 | 0 | 0 | 0.564084 | 0.001551 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 1 | 0 | 0 | 0 | 0.5 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 |
9ab2e07133acbb6212d23d13dddcd0e24fa6b7a8 | 3,175 | py | Python | tests/test_primes.py | wyllie/PrimeUs | e076669d7cb1d29179606723204a7bd746778495 | [
"MIT"
] | null | null | null | tests/test_primes.py | wyllie/PrimeUs | e076669d7cb1d29179606723204a7bd746778495 | [
"MIT"
] | 2 | 2019-10-15T22:28:13.000Z | 2019-10-16T13:25:36.000Z | tests/test_primes.py | wyllie/PrimeUs | e076669d7cb1d29179606723204a7bd746778495 | [
"MIT"
] | 1 | 2019-10-16T21:22:36.000Z | 2019-10-16T21:22:36.000Z | import pytest
from PrimeUs.Primes import Primes
def test_init():
primes = Primes()
assert type(primes) is Primes
def test_prime_check():
primes = Primes()
assert primes.prime_check(2) is True
assert primes.prime_check(3) is True
assert primes.prime_check(4) is False
assert primes.prime_check(5) is True
assert primes.prime_check(6) is False
assert primes.prime_check(7) is True
assert primes.prime_check(8) is False
assert primes.prime_check(9) is False
assert primes.prime_check(10) is False
assert primes.prime_check(11) is True
assert primes.prime_check(12) is False
assert primes.prime_check(13) is True
assert primes.prime_check(14) is False
assert primes.prime_check(15) is False
assert primes.prime_check(16) is False
assert primes.prime_check(17) is True
assert primes.prime_check(18) is False
assert primes.prime_check(19) is True
assert primes.prime_check(20) is False
assert primes.prime_check(21) is False
assert primes.prime_check(22) is False
assert primes.prime_check(23) is True
assert primes.prime_check(24) is False
assert primes.prime_check(25) is False
assert primes.prime_check(26) is False
assert primes.prime_check(27) is False
assert primes.prime_check(28) is False
assert primes.prime_check(29) is True
assert primes.prime_check(30) is False
assert primes.prime_check(31) is True
assert primes.prime_check(32) is False
assert primes.prime_check(33) is False
assert primes.prime_check(34) is False
assert primes.prime_check(35) is False
assert primes.prime_check(36) is False
assert primes.prime_check(37) is True
assert primes.prime_check(38) is False
assert primes.prime_check(39) is False
assert primes.prime_check(40) is False
assert primes.prime_check(41) is True
assert primes.prime_check(42) is False
assert primes.prime_check(43) is True
assert primes.prime_check(44) is False
assert primes.prime_check(45) is False
assert primes.prime_check(46) is False
assert primes.prime_check(47) is True
assert primes.prime_check(48) is False
assert primes.prime_check(49) is False
assert primes.prime_check(50) is False
# assert primes.prime_check(25) is False
def test_prime_check_larger(datadir):
'read in a list of primes and make sure they all check out'
primes = Primes()
i = 0
with open(datadir.join('primes'), 'r') as f:
for line in f:
assert primes.prime_check(int(line)) is True
i = i + 1
# make sure we got all of the numbers in the file
assert i == 168
def test_prime_check_neg():
primes = Primes()
with pytest.raises(Exception, match=r'Input: -3 is not a positive integer'):
primes.prime_check(-3)
with pytest.raises(Exception, match=r'Input: x is not a positive integer'):
primes.prime_check('x')
with pytest.raises(Exception, match=r'Input: 3.14 is not a positive integer'):
primes.prime_check(3.14)
with pytest.raises(Exception, match=r'Input: 1 is not a positive integer > 1'):
primes.prime_check(1)
| 33.776596 | 83 | 0.711181 | 511 | 3,175 | 4.293542 | 0.203523 | 0.264357 | 0.401094 | 0.511395 | 0.773473 | 0.763902 | 0.152689 | 0.119872 | 0.06928 | 0 | 0 | 0.042925 | 0.207559 | 3,175 | 93 | 84 | 34.139785 | 0.829094 | 0.045669 | 0 | 0.053333 | 0 | 0 | 0.067725 | 0 | 0 | 0 | 0 | 0 | 0.693333 | 1 | 0.053333 | false | 0 | 0.026667 | 0 | 0.08 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
9ac7f43a3a8c0c28900d8ca5689cc97370c73211 | 1,147 | py | Python | scripts/contractInteraction/contract_interaction.py | swamp-thing-sovryn/Sovryn-smart-contracts | 4a5d6ffe37f14752d96790e776fe333961799e83 | [
"Apache-2.0"
] | null | null | null | scripts/contractInteraction/contract_interaction.py | swamp-thing-sovryn/Sovryn-smart-contracts | 4a5d6ffe37f14752d96790e776fe333961799e83 | [
"Apache-2.0"
] | 2 | 2021-08-18T14:40:54.000Z | 2021-09-30T01:35:47.000Z | scripts/contractInteraction/contract_interaction.py | swamp-thing-sovryn/Sovryn-smart-contracts | 4a5d6ffe37f14752d96790e776fe333961799e83 | [
"Apache-2.0"
] | null | null | null |
'''
This script serves the purpose of interacting with existing smart contracts on the testnet or mainnet.
'''
from brownie import *
from brownie.network.contract import InterfaceContainer
import json
import time;
import copy
from scripts.utils import *
import scripts.contractInteraction.config as conf
from scripts.contractInteraction.loan_tokens import *
from scripts.contractInteraction.protocol import *
from scripts.contractInteraction.staking_vesting import *
from scripts.contractInteraction.multisig import *
from scripts.contractInteraction.governance import *
from scripts.contractInteraction.liquidity_mining import *
from scripts.contractInteraction.amm import *
from scripts.contractInteraction.token import *
from scripts.contractInteraction.ownership import *
from scripts.contractInteraction.misc import *
from scripts.contractInteraction.prices import *
from scripts.contractInteraction.liquidity_miningV2 import *
from scripts.contractInteraction.liquidity_mining_V1toV2_migrator import *
def main():
#load the contracts and acct depending on the network
conf.loadConfig()
#call the function you want here
| 34.757576 | 102 | 0.830863 | 132 | 1,147 | 7.166667 | 0.44697 | 0.162791 | 0.412262 | 0.45666 | 0.155391 | 0.107822 | 0 | 0 | 0 | 0 | 0 | 0.002956 | 0.115083 | 1,147 | 32 | 103 | 35.84375 | 0.929064 | 0.162162 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | true | 0 | 0.909091 | 0 | 0.954545 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
b168f9deb7f8585e08dbc186e78f93e4ec533b94 | 1,436 | py | Python | kornia/augmentation/_2d/intensity/__init__.py | YanivHollander/kornia | ccd258d0956da89b1feca96448eff8e4969d405a | [
"ECL-2.0",
"Apache-2.0"
] | 131 | 2019-01-16T18:33:10.000Z | 2019-05-23T02:09:18.000Z | kornia/augmentation/_2d/intensity/__init__.py | YanivHollander/kornia | ccd258d0956da89b1feca96448eff8e4969d405a | [
"ECL-2.0",
"Apache-2.0"
] | 94 | 2019-01-17T22:10:45.000Z | 2019-05-22T23:47:58.000Z | kornia/augmentation/_2d/intensity/__init__.py | admariner/kornia | 8a4c586b620b3e37f637c0235970838d45193d03 | [
"ECL-2.0",
"Apache-2.0"
] | 18 | 2019-02-01T07:10:13.000Z | 2019-05-21T14:52:03.000Z | from kornia.augmentation._2d.intensity.box_blur import RandomBoxBlur
from kornia.augmentation._2d.intensity.channel_shuffle import RandomChannelShuffle
from kornia.augmentation._2d.intensity.color_jiggle import ColorJiggle
from kornia.augmentation._2d.intensity.color_jitter import ColorJitter
from kornia.augmentation._2d.intensity.denormalize import Denormalize
from kornia.augmentation._2d.intensity.equalize import RandomEqualize
from kornia.augmentation._2d.intensity.erasing import RandomErasing
from kornia.augmentation._2d.intensity.gaussian_blur import RandomGaussianBlur
from kornia.augmentation._2d.intensity.gaussian_noise import RandomGaussianNoise
from kornia.augmentation._2d.intensity.grayscale import RandomGrayscale
from kornia.augmentation._2d.intensity.invert import RandomInvert
from kornia.augmentation._2d.intensity.motion_blur import RandomMotionBlur
from kornia.augmentation._2d.intensity.normalize import Normalize
from kornia.augmentation._2d.intensity.planckian_jitter import RandomPlanckianJitter
from kornia.augmentation._2d.intensity.plasma import RandomPlasmaBrightness, RandomPlasmaContrast, RandomPlasmaShadow
from kornia.augmentation._2d.intensity.posterize import RandomPosterize
from kornia.augmentation._2d.intensity.random_rgb_shift import RandomRGBShift
from kornia.augmentation._2d.intensity.sharpness import RandomSharpness
from kornia.augmentation._2d.intensity.solarize import RandomSolarize
| 71.8 | 117 | 0.891365 | 164 | 1,436 | 7.628049 | 0.29878 | 0.151879 | 0.334133 | 0.364508 | 0.521982 | 0.126299 | 0 | 0 | 0 | 0 | 0 | 0.013991 | 0.054318 | 1,436 | 19 | 118 | 75.578947 | 0.907216 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
b188d6bcd06a4a5e3c1dc647c6b62f71768009e7 | 216 | py | Python | 2 - Tipos de dados/2.1 - Texto/str.py | SamuelHDieterich/Walkthrough-Python | 22ca407d55af33f1aeb3f78a5b5019d76d2d3cd9 | [
"MIT"
] | 3 | 2021-06-09T23:04:34.000Z | 2021-06-10T16:54:58.000Z | 2 - Tipos de dados/2.1 - Texto/str.py | SamuelHDieterich/Walkthrough-Python | 22ca407d55af33f1aeb3f78a5b5019d76d2d3cd9 | [
"MIT"
] | null | null | null | 2 - Tipos de dados/2.1 - Texto/str.py | SamuelHDieterich/Walkthrough-Python | 22ca407d55af33f1aeb3f78a5b5019d76d2d3cd9 | [
"MIT"
] | null | null | null | # A variável 'texto' receberá o valor "Olá, mundo!"
texto = "Olá, Mundo!"
# texto = str("Olá, Mundo!")
# Retorna o valor da variável
print(texto) # Olá, Mundo!
# Retorna o tipo
print(type(texto)) # <class 'str'> | 24 | 51 | 0.648148 | 32 | 216 | 4.375 | 0.46875 | 0.228571 | 0.185714 | 0.228571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.185185 | 216 | 9 | 52 | 24 | 0.795455 | 0.671296 | 0 | 0 | 0 | 0 | 0.169231 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.666667 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 |
b191f1be6bdcdf2b6071eeae2f47c28720ec9d4e | 32 | py | Python | bobtemplates/sixfeetup/unified_buildout/+project_name+/content/interfaces/__init__.py | sixfeetup/bobtemplates.unified_buildout | 0c830055f9b8c2041c3642531f047baa3289c339 | [
"BSD-3-Clause"
] | 1 | 2017-07-07T21:03:34.000Z | 2017-07-07T21:03:34.000Z | bobtemplates/sixfeetup/unified_buildout/+project_name+/content/interfaces/__init__.py | sixfeetup/bobtemplates.unified_buildout | 0c830055f9b8c2041c3642531f047baa3289c339 | [
"BSD-3-Clause"
] | 14 | 2017-07-06T15:57:17.000Z | 2022-01-07T14:45:43.000Z | bobtemplates/sixfeetup/unified_buildout/+project_name+/content/interfaces/__init__.py | sixfeetup/bobtemplates.unified_buildout | 0c830055f9b8c2041c3642531f047baa3289c339 | [
"BSD-3-Clause"
] | 2 | 2017-07-06T15:57:22.000Z | 2019-03-06T21:51:30.000Z | # -*- extra stuff goes here -*-
| 16 | 31 | 0.5625 | 4 | 32 | 4.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.21875 | 32 | 1 | 32 | 32 | 0.72 | 0.90625 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
b1abce30f44e089b6addd47e698e6f75377b2b5b | 198 | py | Python | exoplanet/theano_ops/__init__.py | exowanderer/exoplanet | dfd4859525ca574f1936de7b683951c35c292586 | [
"MIT"
] | 2 | 2021-10-01T12:46:09.000Z | 2022-03-24T10:25:20.000Z | exoplanet/theano_ops/__init__.py | Junjun1guo/exoplanet | 5df07b16cf7f8770f02fa53598ae3961021cfd0f | [
"MIT"
] | null | null | null | exoplanet/theano_ops/__init__.py | Junjun1guo/exoplanet | 5df07b16cf7f8770f02fa53598ae3961021cfd0f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
__all__ = ["kepler", "contact", "celerite", "starry", "interp"]
from . import kepler
from . import contact
from . import celerite
from . import starry
from . import interp
| 19.8 | 63 | 0.671717 | 24 | 198 | 5.375 | 0.458333 | 0.387597 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006098 | 0.171717 | 198 | 9 | 64 | 22 | 0.780488 | 0.106061 | 0 | 0 | 0 | 0 | 0.188571 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.833333 | 0 | 0.833333 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
49421422b5557a07e50f4740cee9816d5a927739 | 12,957 | py | Python | library/_string_test.py | creativemindplus/skybison | d1740e08d8de85a0a56b650675717da67de171a0 | [
"CNRI-Python-GPL-Compatible"
] | 278 | 2021-08-31T00:46:51.000Z | 2022-02-13T19:43:28.000Z | library/_string_test.py | creativemindplus/skybison | d1740e08d8de85a0a56b650675717da67de171a0 | [
"CNRI-Python-GPL-Compatible"
] | 9 | 2021-11-05T22:28:43.000Z | 2021-11-23T08:39:04.000Z | library/_string_test.py | tekknolagi/skybison | bea8fc2af0a70e7203b4c19f36c14a745512a335 | [
"CNRI-Python-GPL-Compatible"
] | 12 | 2021-08-31T07:49:54.000Z | 2021-10-08T01:09:01.000Z | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. (http://www.facebook.com)
import unittest
from _string import formatter_field_name_split, formatter_parser
class FormatterFieldNameSplitTests(unittest.TestCase):
def test_multiple_subscripts_returns_multiple_subscripts(self):
res, it = formatter_field_name_split("0[2][3]")
self.assertEqual(res, 0)
self.assertEqual(tuple(it), ((False, 2), (False, 3)))
def test_non_dot_or_bracket_between_brackets_raises_value_error(self):
res, it = formatter_field_name_split("0[4]a[20]")
self.assertEqual(res, 0)
self.assertEqual(it.__next__(), (False, 4))
with self.assertRaises(ValueError) as context:
it.__next__()
self.assertEqual(
str(context.exception),
"Only '.' or '[' may follow ']' in format field specifier",
)
def test_string_as_subscript_uses_string_as_subscript(self):
res, it = formatter_field_name_split("0[a]")
self.assertEqual(res, 0)
self.assertEqual(tuple(it), ((False, "a"),))
def test_left_bracket_as_subscript_uses_bracket_as_subscript(self):
res, it = formatter_field_name_split("0[[]")
self.assertEqual(res, 0)
self.assertEqual(tuple(it), ((False, "["),))
def test_incomplete_subscript_raises_value_error(self):
res, it = formatter_field_name_split("0[2")
self.assertEqual(res, 0)
with self.assertRaises(ValueError) as context:
it.__next__()
self.assertEqual(str(context.exception), "Missing ']' in format string")
res, it = formatter_field_name_split("[2")
# TODO(T64268423): Once CPython has a fix, test for 0 instead of "" or
# 0.
self.assertTrue(res == "" or res == 0)
with self.assertRaises(ValueError):
it.__next__()
res, it = formatter_field_name_split("][")
self.assertEqual(res, "]")
with self.assertRaises(ValueError):
it.__next__()
def test_missing_left_bracket_includes_right_bracket_in_field_name(self):
res, it = formatter_field_name_split("2]")
self.assertEqual(res, "2]")
self.assertEqual(tuple(it), ())
res, it = formatter_field_name_split("]2")
self.assertEqual(res, "]2")
self.assertEqual(tuple(it), ())
def test_missing_subscript_raises_value_error(self):
res, it = formatter_field_name_split("[]")
# TODO(T64268423): Once CPython has a fix, test for 0 instead of "" or
# 0.
self.assertTrue(res == "" or res == 0)
with self.assertRaises(ValueError):
it.__next__()
def test_number_indexed_with_subscript(self):
res, it = formatter_field_name_split("0[2]")
self.assertEqual(res, 0)
self.assertEqual(tuple(it), ((False, 2),))
def test_name_indexed_with_subscript(self):
res, it = formatter_field_name_split("hello[2]")
self.assertEqual(res, "hello")
self.assertEqual(tuple(it), ((False, 2),))
def test_no_name_indexed_with_subscript(self):
res, it = formatter_field_name_split("[2]")
# TODO(T64268423): Once CPython has a fix, test for 0 instead of "" or
# 0.
self.assertTrue(res == "" or res == 0)
self.assertEqual(tuple(it), ((False, 2),))
def test_select_attr_from_name(self):
res, it = formatter_field_name_split("hello.attr")
self.assertEqual(res, "hello")
self.assertEqual(tuple(it), ((True, "attr"),))
def test_select_multiple_attr_from_name(self):
res, it = formatter_field_name_split("hello.first.second.third")
self.assertEqual(res, "hello")
self.assertEqual(
tuple(it), ((True, "first"), (True, "second"), (True, "third"))
)
def test_select_attr_from_number(self):
res, it = formatter_field_name_split("0.attr")
self.assertEqual(res, 0)
self.assertEqual(tuple(it), ((True, "attr"),))
def test_select_attr_from_name_and_index_with_subscript(self):
res1, it1 = formatter_field_name_split("hello.attr[2]")
res2, it2 = formatter_field_name_split("hello[2].attr")
self.assertEqual(res1, res2, "hello")
self.assertEqual(tuple(it1), ((True, "attr"), (False, 2)))
self.assertEqual(tuple(it2), ((False, 2), (True, "attr")))
def test_select_attr_from_number_and_index_with_subscript(self):
res1, it1 = formatter_field_name_split("0.attr[2]")
res2, it2 = formatter_field_name_split("0[2].attr")
self.assertEqual(res1, res2, 0)
self.assertEqual(tuple(it1), ((True, "attr"), (False, 2)))
self.assertEqual(tuple(it2), ((False, 2), (True, "attr")))
def test_missing_attr_raises_value_error(self):
res, it = formatter_field_name_split("hello.")
with self.assertRaises(ValueError) as context:
it.__next__()
self.assertEqual(str(context.exception), "Empty attribute in format string")
def test_simple_string_returns_string_iter_tuple(self):
res, it = formatter_field_name_split("foo")
self.assertEqual(res, "foo")
self.assertEqual(tuple(it), ())
def test_empty_string_returns_string_iter_tuple(self):
res, it = formatter_field_name_split("")
self.assertEqual(res, "")
self.assertEqual(tuple(it), ())
def test_simple_string_returns_int_iter_tuple(self):
res, it = formatter_field_name_split("42")
self.assertEqual(res, 42)
self.assertEqual(tuple(it), ())
def test_non_string_raises_type_error(self):
with self.assertRaises(TypeError):
formatter_field_name_split(42)
class FormatterParserTests(unittest.TestCase):
def test_empty_string_returns_empty_tuple(self):
self.assertEqual(tuple(formatter_parser("")), ())
def test_simple_string_returns_tuple(self):
self.assertEqual(tuple(formatter_parser(" ")), ((" ", None, None, None),))
self.assertEqual(
tuple(formatter_parser("hello")), (("hello", None, None, None),)
)
self.assertEqual(
tuple(formatter_parser("~!@#$%^&*()<>.")),
(("~!@#$%^&*()<>.", None, None, None),),
)
def test_double_curlies(self):
self.assertEqual(tuple(formatter_parser("{{")), (("{", None, None, None),))
self.assertEqual(tuple(formatter_parser("}}")), (("}", None, None, None),))
self.assertEqual(
tuple(formatter_parser("{{ab")),
(("{", None, None, None), ("ab", None, None, None)),
)
self.assertEqual(
tuple(formatter_parser("}}ab")),
(("}", None, None, None), ("ab", None, None, None)),
)
self.assertEqual(tuple(formatter_parser("ab{{")), (("ab{", None, None, None),))
self.assertEqual(tuple(formatter_parser("ab}}")), (("ab}", None, None, None),))
self.assertEqual(
tuple(formatter_parser("ab{{cd")),
(("ab{", None, None, None), ("cd", None, None, None)),
)
self.assertEqual(
tuple(formatter_parser("ab}}cd")),
(("ab}", None, None, None), ("cd", None, None, None)),
)
self.assertEqual(
tuple(formatter_parser("he{{}}llo")),
(
("he{", None, None, None),
("}", None, None, None),
("llo", None, None, None),
),
)
def test_format_with_identifier_returns_tuple(self):
self.assertEqual(tuple(formatter_parser("{}")), (("", "", "", None),))
self.assertEqual(tuple(formatter_parser("{foo}")), (("", "foo", "", None),))
self.assertEqual(
tuple(formatter_parser("foo{bar}")), (("foo", "bar", "", None),)
)
def test_format_with_conversion_specifier_returns_tuple(self):
self.assertEqual(tuple(formatter_parser("{!x}")), (("", "", "", "x"),))
self.assertEqual(tuple(formatter_parser("{foo!x}")), (("", "foo", "", "x"),))
self.assertEqual(tuple(formatter_parser("{!x}")), (("", "", "", "x"),))
self.assertEqual(
tuple(formatter_parser("foo{bar!b}")), (("foo", "bar", "", "b"),)
)
self.assertEqual(tuple(formatter_parser("{!}}")), (("", "", "", "}"),))
self.assertEqual(tuple(formatter_parser("{!{}")), (("", "", "", "{"),))
def test_format_with_spec_returns_tuple(self):
self.assertEqual(tuple(formatter_parser("{:foo}")), (("", "", "foo", None),))
self.assertEqual(
tuple(formatter_parser("{:foo!x}")), (("", "", "foo!x", None),)
)
self.assertEqual(
tuple(formatter_parser("{foo:bar}")), (("", "foo", "bar", None),)
)
self.assertEqual(
tuple(formatter_parser("foo{bar:baz}")), (("foo", "bar", "baz", None),)
)
def test_format_with_curly_in_spec_returns_tuple(self):
self.assertEqual(
tuple(formatter_parser("{:{foo}}")), (("", "", "{foo}", None),)
)
self.assertEqual(tuple(formatter_parser("{:{}}")), (("", "", "{}", None),))
self.assertEqual(
tuple(formatter_parser("{:{foo{bar}baz}}")),
(("", "", "{foo{bar}baz}", None),),
)
self.assertEqual(
tuple(formatter_parser("{:foo{bar}baz}")), (("", "", "foo{bar}baz", None),)
)
def test_format_with_square_in_spec_returns_tuple(self):
self.assertEqual(
tuple(formatter_parser("ab{0[0]}cd")),
(("ab", "0[0]", "", None), ("cd", None, None, None)),
)
self.assertEqual(
tuple(formatter_parser("ab{hello[0]}cd")),
(("ab", "hello[0]", "", None), ("cd", None, None, None)),
)
self.assertEqual(
tuple(formatter_parser("ab{[0]}cd")),
(("ab", "[0]", "", None), ("cd", None, None, None)),
)
self.assertEqual(
tuple(formatter_parser("ab{[0][1][2]}cd")),
(("ab", "[0][1][2]", "", None), ("cd", None, None, None)),
)
def test_format_with_all_returns_tuple(self):
self.assertEqual(
tuple(formatter_parser("foo{bar!r:baz}bam {15:2} {xxx!a}")),
(
("foo", "bar", "baz", "r"),
("bam ", "15", "2", None),
(" ", "xxx", "", "a"),
),
)
def test_unbalanced_rcurly_raises_value_error(self):
with self.assertRaises(ValueError) as context:
tuple(formatter_parser("}"))
self.assertEqual(
str(context.exception), "Single '}' encountered in format string"
)
with self.assertRaises(ValueError) as context:
tuple(formatter_parser("a} }"))
self.assertEqual(
str(context.exception), "Single '}' encountered in format string"
)
def test_unbalanced_lcurly_raises_value_error(self):
with self.assertRaises(ValueError) as context:
tuple(formatter_parser("{"))
self.assertEqual(
str(context.exception), "Single '{' encountered in format string"
)
with self.assertRaises(ValueError) as context:
tuple(formatter_parser("a{bcd"))
self.assertEqual(str(context.exception), "expected '}' before end of string")
with self.assertRaises(ValueError) as context:
tuple(formatter_parser("a{bcd!"))
self.assertEqual(
str(context.exception),
"end of string while looking for conversion specifier",
)
with self.assertRaises(ValueError) as context:
tuple(formatter_parser("a{bcd!x"))
self.assertEqual(str(context.exception), "unmatched '{' in format spec")
with self.assertRaises(ValueError) as context:
tuple(formatter_parser("a{bcd:"))
self.assertEqual(str(context.exception), "unmatched '{' in format spec")
def test_missing_conversion_specifier_raises_value_error(self):
with self.assertRaises(ValueError) as context:
tuple(formatter_parser("a{bcd!}"))
self.assertEqual(str(context.exception), "unmatched '{' in format spec")
def test_chars_after_conversion_specifier_raises_value_error(self):
with self.assertRaises(ValueError) as context:
tuple(formatter_parser("a{bcd!xy}"))
self.assertEqual(
str(context.exception), "expected ':' after conversion specifier"
)
def test_lcurly_in_field_name_raises_value_error(self):
with self.assertRaises(ValueError) as context:
tuple(formatter_parser("{foo{bar}baz}"))
self.assertEqual(str(context.exception), "unexpected '{' in field name")
def test_non_string_raise_type_error(self):
with self.assertRaises(TypeError):
tuple(formatter_parser(42))
if __name__ == "__main__":
unittest.main()
| 40.364486 | 87 | 0.591958 | 1,455 | 12,957 | 5.023368 | 0.102406 | 0.174442 | 0.145027 | 0.13887 | 0.847996 | 0.814475 | 0.772472 | 0.736079 | 0.699959 | 0.626625 | 0 | 0.012536 | 0.242726 | 12,957 | 320 | 88 | 40.490625 | 0.732369 | 0.02408 | 0 | 0.335849 | 0 | 0 | 0.09583 | 0.001899 | 0 | 0 | 0 | 0.003125 | 0.4 | 1 | 0.132075 | false | 0 | 0.007547 | 0 | 0.14717 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
49602b416cf1a9bbd9047c8a2dc7d40d24ce90d8 | 18 | py | Python | test/test_suite_subdir/__init__.py | slingamn/Testify | ab9fd3948dd5a4327e4e71a6b7df5a007c613c83 | [
"Apache-2.0"
] | 1 | 2016-08-19T04:11:16.000Z | 2016-08-19T04:11:16.000Z | test/test_suite_subdir/__init__.py | slingamn/Testify | ab9fd3948dd5a4327e4e71a6b7df5a007c613c83 | [
"Apache-2.0"
] | null | null | null | test/test_suite_subdir/__init__.py | slingamn/Testify | ab9fd3948dd5a4327e4e71a6b7df5a007c613c83 | [
"Apache-2.0"
] | null | null | null | # __test__ = False | 18 | 18 | 0.722222 | 2 | 18 | 4.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.166667 | 18 | 1 | 18 | 18 | 0.6 | 0.888889 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
4965040af169b679e9620b5abcd74163925d3751 | 102 | py | Python | api/admin.py | City-of-Helsinki/notification-service-api | 1c4c6d900de5f2ce9ce9becb6774d10892084ede | [
"MIT"
] | null | null | null | api/admin.py | City-of-Helsinki/notification-service-api | 1c4c6d900de5f2ce9ce9becb6774d10892084ede | [
"MIT"
] | 17 | 2020-07-07T12:08:34.000Z | 2021-06-10T20:26:20.000Z | api/admin.py | City-of-Helsinki/notification-service-api | 1c4c6d900de5f2ce9ce9becb6774d10892084ede | [
"MIT"
] | null | null | null | from api.models import DeliveryLog
from django.contrib import admin
admin.site.register(DeliveryLog)
| 20.4 | 34 | 0.843137 | 14 | 102 | 6.142857 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.098039 | 102 | 4 | 35 | 25.5 | 0.934783 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
496fb5671365bf3ed07ef359cbab0dc006d93581 | 22,418 | py | Python | src/Solver_OptiMathSat.py | allisonchen23/COMET | 9ed3e91c8c2a3b0c2f6e85eee80d9f17298685c0 | [
"MIT"
] | 11 | 2020-06-24T14:54:33.000Z | 2021-11-16T07:42:13.000Z | src/Solver_OptiMathSat.py | allisonchen23/COMET | 9ed3e91c8c2a3b0c2f6e85eee80d9f17298685c0 | [
"MIT"
] | 1 | 2020-11-15T12:35:27.000Z | 2021-01-28T08:20:27.000Z | src/Solver_OptiMathSat.py | allisonchen23/COMET | 9ed3e91c8c2a3b0c2f6e85eee80d9f17298685c0 | [
"MIT"
] | 5 | 2020-06-24T14:54:34.000Z | 2021-03-29T21:01:57.000Z | #!/usr/bin/env python
# coding: utf-8
import os
import time
import tempfile
import subprocess
import numpy as np
from z3 import *
from datetime import datetime
from sexpdata import loads, dumps
epsilon = 0.001
def verifier(monotonic_indices,path,layers,monotonicity_direction,min_dict,max_dict,variable_types,model="",logging="",isUpper = True, prefix_path=""):
s = Optimize()
variableMap ={}
variableMapF2 ={}
input_features = len(variable_types)
variableNameForIndex = ""
for i in range(0,input_features):
if variable_types[i] == "Real":
variableMap[i] = Real('x'+str(i))
variableMapF2[i] = Real('y'+str(i))
else:
if variable_types[i] == "Int":
variableMap[i] = Int('x'+str(i))
variableMapF2[i] = Int('y'+str(i))
directory = path
weightDict ={}
biasDict = {}
for i in range(0,layers):
weightDict[i] = np.loadtxt(open(directory+"weights_layer"+str(i)+".csv", "rb"), delimiter=",")
biasDict[i] = np.loadtxt(open(directory+"bias_layer"+str(i)+".csv", "rb"), delimiter=",")
NN1 = nn_encoding(variableMap,weightDict,"x",layers,biasDict,s)
NN2 = nn_encoding(variableMapF2,weightDict,"y",layers,biasDict,s)
for index in range(0,len(variable_types)):
if variable_types[index] == "Real":
s.add(variableMapF2[index] >= RealVal(min_dict[index]))
s.add(variableMapF2[index] <= RealVal(max_dict[index]))
s.add(variableMap[index] >= RealVal(min_dict[index]))
s.add(variableMap[index] <= RealVal(max_dict[index]))
else:
s.add(variableMapF2[index] >= IntVal(min_dict[index]))
s.add(variableMapF2[index] <= IntVal(max_dict[index]))
s.add(variableMap[index] >= IntVal(min_dict[index]))
s.add(variableMap[index] <= IntVal(max_dict[index]))
monotonicity_direction = int(monotonicity_direction)
if monotonicity_direction == 0:
for monotonic_index in monotonic_indices:
s.add(variableMapF2[monotonic_index]<variableMap[monotonic_index])
s.add(variableMap[monotonic_index] - variableMapF2[monotonic_index] > epsilon)
s.add(NN2 - NN1 > epsilon)
s.maximize(NN2-NN1)
else:
for monotonic_index in monotonic_indices:
s.add(variableMapF2[monotonic_index]>variableMap[monotonic_index])
s.add(variableMapF2[monotonic_index] - variableMap[monotonic_index]> epsilon)
s.add(NN2 -NN1 > epsilon)
s.maximize(NN2-NN1)
tf = tempfile.NamedTemporaryFile()
with open(prefix_path+tf.name, mode='w') as f:
f.write("(set-option :produce-models true)\n")
sexpr = s.sexpr()
sexpr = sexpr.replace(")\n(check-sat)","")
sexpr = sexpr + "\n :id f_y )\n(check-sat)\n"
f.write(sexpr)
f.write("(exit)")
start_time = datetime.now()
try:
optimatsatsolver_path = "optimathsat"
cmd = optimatsatsolver_path+" "+prefix_path+tf.name
p = subprocess.Popen([cmd, ""], shell=True,
stdin=subprocess.PIPE, stdout=subprocess.PIPE, close_fds=True)
p.wait()
returned_value = p.stdout.read().decode('UTF-8')
elapsed_time = datetime.now() - start_time
if "unsat" in returned_value:
return "UNSAT", None, elapsed_time.total_seconds()
else:
if "sat" in returned_value:
return "SAT", returned_value, elapsed_time.total_seconds()
except Exception as e:
print("Exception ", e)
return "Exception while verifying",None, None
def counter_pair_generator(datapoint, monotonic_index, index,label,path,layers,monotonicity_direction,min,max,variable_types,model="",logging="",isUpper = True, prefix_path=""):
s = Optimize()
variableMap ={}
variableMapF2 ={}
input_features = len(datapoint)
variableNameForIndex = ""
for i in range(0,input_features):
if variable_types[i] == "Real":
tmp = Real('x'+str(i))
tmp = RealVal(datapoint[i])
else:
if variable_types[i] == "Int":
tmp = Int('x'+str(i))
tmp = IntVal(datapoint[i])
variableMap[i] = tmp
if i == monotonic_index:
if variable_types[i] == "Real":
variableMapF2[i] = Real('y'+str(i))
variableMap[i] = Real('x'+str(i))
variableNameForIndex = 'y'+str(i)
else:
if variable_types[i] == "Int":
variableMapF2[i] = Int('y'+str(i))
variableNameForIndex = 'y'+str(i)
variableMap[i] = Int('x'+str(i))
else:
variableMapF2[i] = variableMap[i]
directory = path
weightDict ={}
biasDict = {}
for i in range(0,layers):
weightDict[i] = np.loadtxt(open(directory+"weights_layer"+str(i)+".csv", "rb"), delimiter=",")
biasDict[i] = np.loadtxt(open(directory+"bias_layer"+str(i)+".csv", "rb"), delimiter=",")
NN1 = nn_encoding(variableMap,weightDict,"x",layers,biasDict,s)
NN2 = nn_encoding(variableMapF2,weightDict,"y",layers,biasDict,s)
if variable_types[monotonic_index] == "Real":
s.add(variableMapF2[monotonic_index] >= RealVal(min))
s.add(variableMapF2[monotonic_index] <= RealVal(max))
s.add(variableMap[monotonic_index] >= RealVal(min))
s.add(variableMap[monotonic_index] <= RealVal(max))
else:
s.add(variableMapF2[monotonic_index] >= IntVal(min))
s.add(variableMapF2[monotonic_index] <= IntVal(max))
s.add(variableMap[monotonic_index] >= IntVal(min))
s.add(variableMap[monotonic_index] <= IntVal(max))
logging.debug("\nSolving with OptimathSat")
logging.debug('x\' > %2f'%(float(min)))
logging.debug('x\' < %2f'%(float(max)))
logging.debug('x = %2f'%(datapoint[monotonic_index]))
logging.debug('y = %2f'%(label))
monotonicity_direction = int(monotonicity_direction)
logging.debug("The type of monotonicity direction and the value is %s"%(monotonicity_direction))
logging.debug(type(monotonicity_direction))
if isUpper:
if monotonicity_direction == 0:
logging.debug("Increasing Monotonicity")
logging.debug('x\' < %2f'%(datapoint[monotonic_index]))
s.add(variableMapF2[monotonic_index]<variableMap[monotonic_index])
s.add(variableMap[monotonic_index] - variableMapF2[monotonic_index] > epsilon)
s.add(NN2 - NN1 > epsilon)
s.maximize(NN2-NN1)
else:
logging.debug("Decreasing Monotonicity")
logging.debug('y > %2f'%(datapoint[monotonic_index]))
s.add(variableMapF2[monotonic_index]>variableMap[monotonic_index])
s.add(variableMapF2[monotonic_index] - variableMap[monotonic_index]> epsilon)
s.add(NN2 - NN1 > epsilon)
s.maximize(NN2-NN1)
tf = tempfile.NamedTemporaryFile()
with open(prefix_path+tf.name, mode='w') as f:
f.write("(set-option :produce-models true)\n")
# f.write("(set-option :timeout 20.0)\n")
# f.write("(set-option :config opt.soft_timeout=true)\n")
sexpr = s.sexpr()
sexpr = sexpr.replace(")\n(check-sat)","")
sexpr = sexpr + "\n :id diff )\n(check-sat)"
f.write(sexpr)
# f.write("(get-value ("+variableNameForIndex+"))\n(get-value (f_y))\n(exit)")
f.write("(get-value (x"+str(monotonic_index)+"))\n(get-value ("+variableNameForIndex+"))\n(get-value (diff))\n(exit)")
start_time = time.time()
try:
optimatsatsolver_path = "optimathsat"
cmd = optimatsatsolver_path+" "+prefix_path+tf.name
elapsed_time = time.time() - start_time
p = subprocess.Popen([cmd, ""], shell=True,
stdin=subprocess.PIPE, stdout=subprocess.PIPE, close_fds=True)
p.wait()
elapsed_time = time.time() - start_time
# subprocess.call(cmd,shell = True)
returned_value = p.stdout.read().decode('UTF-8')
if "unsat" in returned_value:
logging.debug("Unsat: No model")
return None, elapsed_time,index
returned_values = returned_value.splitlines()
solved_vals = []
for v in returned_values:
if "sat" in v:
continue
name, val = parseSexp(v)
if 'x' in dumps(name) or 'y' in dumps(name):
solved_vals.append(val)
return solved_vals,elapsed_time,index
except Exception as e:
print("Exception ", e)
elapsed_time = time.time() - start_time
return None,elapsed_time,index
def nn_encoding(variableMap, weightDict, type_nn,layers,biasDict,s):
input_vars = variableMap
hiddenLayerConstraintMapYF2 = {}
hiddenLayerConstraintMapXF2 = {}
for i in range(0,layers-1):
z3LayerConstraintsFL1 = generateReluConstraintsEachLayer(input_vars,weightDict[i],biasDict[i],i,hiddenLayerConstraintMapYF2,hiddenLayerConstraintMapXF2,type_nn,s)
input_vars = hiddenLayerConstraintMapXF2
hiddenLayerConstraintMapYF2 = {}
hiddenLayerConstraintMapXF2 = {}
i = i + 1
encoding = Real("finallayer_"+type_nn)
encoding = generateFinalLayerConstraint(input_vars,weightDict[i],biasDict[i])
return encoding
def counter_example_generator_upper_env(datapoint, monotonic_indices, label, path, layers, monotonicity_direction, min_dict, max_dict, variable_types, logging="", prefix_path="", isClassification = False):
s = Optimize()
variableMap ={}
variableMapF2 ={}
input_features = len(datapoint)
variableNameForIndex = ""
for i in range(0,input_features):
if variable_types[i] == "Real":
tmp = Real('x'+str(i))
tmp = RealVal(datapoint[i])
else:
if variable_types[i] == "Int":
tmp = Int('x'+str(i))
tmp = IntVal(datapoint[i])
variableMap[i] = tmp
if i in monotonic_indices:
if variable_types[i] == "Real":
variableMapF2[i] = Real('y'+str(i))
variableNameForIndex = 'y'+str(i)
else:
if variable_types[i] == "Int":
variableMapF2[i] = Int('y'+str(i))
variableNameForIndex = 'y'+str(i)
else:
variableMapF2[i] = variableMap[i]
directory = path
weightDict ={}
biasDict = {}
for i in range(0,layers):
weightDict[i] = np.loadtxt(open(directory+"weights_layer"+str(i)+".csv", "rb"), delimiter=",")
biasDict[i] = np.loadtxt(open(directory+"bias_layer"+str(i)+".csv", "rb"), delimiter=",")
NN1 = nn_encoding(variableMap,weightDict,"x",layers,biasDict,s)
NN2 = nn_encoding(variableMapF2,weightDict,"y",layers,biasDict,s)
for monotonic_index in monotonic_indices:
if variable_types[monotonic_index] == "Real":
s.add(variableMapF2[monotonic_index] >= RealVal(min_dict[monotonic_index]))
s.add(variableMapF2[monotonic_index] <= RealVal(max_dict[monotonic_index]))
else:
s.add(variableMapF2[monotonic_index] >= IntVal(min_dict[monotonic_index]))
s.add(variableMapF2[monotonic_index] <= IntVal(max_dict[monotonic_index]))
monotonicity_direction = int(monotonicity_direction)
logging.debug("The type of monotonicity direction and the value is %s"%(monotonicity_direction))
logging.debug(type(monotonicity_direction))
if monotonicity_direction == 0:
logging.debug("Increasing Monotonicity")
for monotonic_index in monotonic_indices:
logging.debug('x\' < %2f'%(datapoint[monotonic_index]))
s.add(variableMapF2[monotonic_index]<=variableMap[monotonic_index])
# s.add(variableMap[monotonic_index] - variableMapF2[monotonic_index] > epsilon)
if isClassification:
s.add(NN2 - NN1 > epsilon)
s.maximize(NN2-NN1)
else:
s.add(NN2 - label > epsilon)
s.maximize(NN2-label)
else:
logging.debug("Decreasing Monotonicity")
for monotonic_index in monotonic_indices:
# logging.debug('y > %2f'%(datapoint[monotonic_index]))
s.add(variableMapF2[monotonic_index]>=variableMap[monotonic_index])
# s.add(variableMapF2[monotonic_index] - variableMap[monotonic_index]> epsilon)
if isClassification:
s.add(NN2 - NN1 > epsilon)
s.maximize(NN2-NN1)
else:
s.add(NN2 -label > epsilon)
s.maximize(NN2-label)
# print("The number of constraints in upper verifier is " + str(len(s.assertions())))
tf = tempfile.NamedTemporaryFile()
with open(prefix_path+tf.name, mode='w') as f:
f.write("(set-option :produce-models true)\n")
sexpr = s.sexpr()
sexpr = sexpr.replace(")\n(check-sat)","")
sexpr = sexpr + "\n :id f_y )\n(check-sat)\n"
f.write(sexpr)
for i in monotonic_indices:
variableNameForIndex = 'y'+str(i)
f.write("(get-value ("+variableNameForIndex+"))\n")
f.write("(get-value (f_y))\n(exit)")
return solve(logging,variable_types,monotonic_indices,input_features,datapoint, tf,prefix_path)
def counter_example_generator_lower_env(datapoint, monotonic_indices, label, path, layers, monotonicity_direction, min_dict, max_dict, variable_types, logging="", prefix_path="", isClassification = False):
s = Optimize()
variableMap ={}
variableMapF2 ={}
input_features = len(datapoint)
variableNameForIndex = ""
for i in range(0,input_features):
if variable_types[i] == "Real":
tmp = Real('x'+str(i))
tmp = RealVal(datapoint[i])
else:
if variable_types[i] == "Int":
tmp = Int('x'+str(i))
tmp = IntVal(datapoint[i])
variableMap[i] = tmp
if i in monotonic_indices:
if variable_types[i] == "Real":
variableMapF2[i] = Real('y'+str(i))
variableNameForIndex = 'y'+str(i)
else:
if variable_types[i] == "Int":
variableMapF2[i] = Int('y'+str(i))
variableNameForIndex = 'y'+str(i)
else:
variableMapF2[i] = variableMap[i]
directory = path
weightDict ={}
biasDict = {}
for i in range(0,layers):
weightDict[i] = np.loadtxt(open(directory+"weights_layer"+str(i)+".csv", "rb"), delimiter=",")
biasDict[i] = np.loadtxt(open(directory+"bias_layer"+str(i)+".csv", "rb"), delimiter=",")
NN1 = nn_encoding(variableMap,weightDict,"x",layers,biasDict,s)
NN2 = nn_encoding(variableMapF2,weightDict,"y",layers,biasDict,s)
for monotonic_index in monotonic_indices:
if variable_types[monotonic_index] == "Real":
s.add(variableMapF2[monotonic_index] >= RealVal(min_dict[monotonic_index]))
s.add(variableMapF2[monotonic_index] <= RealVal(max_dict[monotonic_index]))
else:
s.add(variableMapF2[monotonic_index] >= IntVal(min_dict[monotonic_index]))
s.add(variableMapF2[monotonic_index] <= IntVal(max_dict[monotonic_index]))
monotonicity_direction = int(monotonicity_direction)
logging.debug("The type of monotonicity direction and the value is %s"%(monotonicity_direction))
logging.debug(type(monotonicity_direction))
if monotonicity_direction == 0:
logging.debug("Increasing Monotonicity")
for monotonic_index in monotonic_indices:
logging.debug('y < %2f'%(datapoint[monotonic_index]))
s.add(variableMapF2[monotonic_index] >= variableMap[monotonic_index])
# s.add(variableMapF2[monotonic_index] - variableMap[monotonic_index] > epsilon )
if isClassification:
s.add(NN1 - NN2 > epsilon)
s.maximize(NN1 - NN2)
else:
s.add(label - NN2 > epsilon)
s.maximize(label - NN2)
else:
logging.debug("Decreasing Monotonicity")
for monotonic_index in monotonic_indices:
# logging.debug('y > %2f'%(datapoint[monotonic_index]))
s.add(variableMapF2[monotonic_index] <= variableMap[monotonic_index])
# s.add(variableMap[monotonic_index] - variableMapF2[monotonic_index] > epsilon )
if isClassification:
s.add(NN1 - NN2 > epsilon)
s.maximize(NN1 - NN2)
else:
s.add(label - NN2 > epsilon)
s.maximize(label - NN2)
# print("The number of constraints in lower verifier is " + str(len(s.assertions())))
tf = tempfile.NamedTemporaryFile()
with open(prefix_path+tf.name, mode='w') as f:
f.write("(set-option :produce-models true)\n")
sexpr = s.sexpr()
sexpr = sexpr.replace(")\n(check-sat)","")
sexpr = sexpr + "\n :id f_y )\n(check-sat)\n"
f.write(sexpr)
for i in monotonic_indices:
variableNameForIndex = 'y'+str(i)
f.write("(get-value ("+variableNameForIndex+"))\n")
f.write("(get-value (f_y))\n(exit)")
return solve(logging, variable_types, monotonic_indices, input_features, datapoint, tf, prefix_path)
def parseSexp(sexp):
parsed_sexp = loads(sexp)
val = 0.0
if '/' not in sexp:
val = int(parsed_sexp[0][1])
else:
if '-' in sexp:
val = -1 * float((1.0*parsed_sexp[0][1][1][1])/parsed_sexp[0][1][1][2])
else:
val = float((1.0*parsed_sexp[0][1][1])/parsed_sexp[0][1][2])
return (parsed_sexp[0][0],val)
def solve(logging, variable_types,monotonic_indices,input_features,datapoint, smtFileName = "",prefix_path=""):
start_time = time.time()
try:
optimatsatsolver_path = "optimathsat"
cmd = optimatsatsolver_path+" "+ prefix_path +smtFileName.name
elapsed_time = time.time() - start_time
p = subprocess.Popen([cmd, ""], shell=True,
stdin=subprocess.PIPE, stdout=subprocess.PIPE, close_fds=True)
p.wait()
elapsed_time = time.time() - start_time
counter_examples = []
returned_value = p.stdout.read().decode('UTF-8')
if "unsat" in returned_value:
logging.debug("Unsat: No model")
return None, elapsed_time, None
noOfLines = len(returned_value.splitlines())
f_y_parsedsexp = loads(returned_value.splitlines()[noOfLines-1])
f_y = 0.0
if '-' in returned_value.splitlines()[noOfLines-1]:
f_y = -1 * float((1.0*f_y_parsedsexp[0][1][1][1])/f_y_parsedsexp[0][1][1][2])
else:
f_y = float((1.0*f_y_parsedsexp[0][1][1])/f_y_parsedsexp[0][1][2])
cg_parsedsexp = {}
count = 1
for monotonic_index in monotonic_indices:
cg_parsed = loads(returned_value.splitlines()[count])
cg = 0
if variable_types[monotonic_index] == "Int":
cg = int(cg_parsed[0][1])
else:
if '/' in returned_value.splitlines()[count]:
if '-' in returned_value.splitlines()[count]:
cg = -1 * float(cg_parsed[0][1][1][1]/cg_parsed[0][1][1][2])
else:
cg = float(cg_parsed[0][1][1]/cg_parsed[0][1][2])
else:
cg = float(cg_parsed[0][1])
count = count + 1
cg_parsedsexp[monotonic_index] = cg
logging.debug('violation = %2f'%(f_y))
for i in range(0,input_features):
if i in monotonic_indices:
datapoint[i] = cg_parsedsexp[i]
os.remove(prefix_path +smtFileName.name)
return datapoint,elapsed_time,f_y
except Exception as e:
print("Exception "+ str(e))
elapsed_time = time.time() - start_time
os.remove(prefix_path +smtFileName.name)
return None,elapsed_time,None
def generateFinalLayerConstraint(z3LayerConstraints,weights,bias):
count =0
constraints =[]
for i in weights:
prod = z3.Product(z3LayerConstraints[count],i)
if(len(constraints)>0):
constraint=z3.Sum(constraints.pop(),prod)
constraints.append(constraint)
else:
constraints.append(prod)
count = count+1
return z3.Sum(constraint,bias)
def generateReluConstraintsEachLayer(variableMap, weights, bias,layerNo,hiddenLayerConstraintMapInput,hiddenLayerConstraintMapOutput,subscript,s):
outercount=0
z3LayerConstraints = {}
constraints = []
for i in np.transpose(weights):
count = 0
constraint = None
constraints =[]
for j in i:
if isinstance(variableMap[count],z3.z3.IntNumRef) or (isinstance(variableMap[count],z3.z3.ArithRef) and variableMap[count].is_int()):
prod = z3.Product(ToReal(variableMap[count]),j)
else:
prod = z3.Product(variableMap[count],j)
if(len(constraints)>0):
constraint=z3.Sum(constraints.pop(),prod)
constraints.append(constraint)
else:
constraints.append(prod)
count = count+1
constraint = z3.Sum(constraint,bias[outercount])
hiddenLayerConstraintMapInput[outercount] = Real("layer_"+str(layerNo)+"hiddeninput_"+subscript+str(layerNo)+str(outercount))
hiddenLayerConstraintMapInput[outercount] = constraint
hiddenLayerConstraintMapOutput[outercount] = Real("layer"+str(layerNo)+"hiddenoutput_"+subscript+str(layerNo)+str(outercount))
s.add(Implies(hiddenLayerConstraintMapInput[outercount]>0,hiddenLayerConstraintMapOutput[outercount]>=hiddenLayerConstraintMapInput[outercount]))
s.add(Implies(hiddenLayerConstraintMapInput[outercount]>0,hiddenLayerConstraintMapOutput[outercount]<=hiddenLayerConstraintMapInput[outercount]))
s.add(Implies(hiddenLayerConstraintMapInput[outercount]<=0,hiddenLayerConstraintMapOutput[outercount]>=0))
s.add(Implies(hiddenLayerConstraintMapInput[outercount]<=0,hiddenLayerConstraintMapOutput[outercount]<=0))
z3LayerConstraints[outercount]=(constraint)
outercount = outercount+1
return z3LayerConstraints
| 44.129921 | 205 | 0.618209 | 2,558 | 22,418 | 5.286943 | 0.084441 | 0.082816 | 0.035197 | 0.04614 | 0.816179 | 0.774771 | 0.71643 | 0.667332 | 0.652322 | 0.632062 | 0 | 0.014716 | 0.248283 | 22,418 | 507 | 206 | 44.216963 | 0.7878 | 0.037247 | 0 | 0.72 | 0 | 0.011111 | 0.060272 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02 | false | 0 | 0.017778 | 0 | 0.071111 | 0.006667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
497efd3e8f462084b3e4b9fc462ddb07c9394b33 | 3,181 | py | Python | tests/admin/test_u2f.py | joshua-cerniglia/duo_client_python | 9d91cdd505d9ed999f8d79305181587d626186bd | [
"Apache-2.0"
] | 96 | 2015-01-02T08:03:29.000Z | 2022-03-28T13:31:39.000Z | tests/admin/test_u2f.py | joshua-cerniglia/duo_client_python | 9d91cdd505d9ed999f8d79305181587d626186bd | [
"Apache-2.0"
] | 87 | 2015-05-12T02:44:33.000Z | 2022-01-20T05:53:27.000Z | tests/admin/test_u2f.py | joshua-cerniglia/duo_client_python | 9d91cdd505d9ed999f8d79305181587d626186bd | [
"Apache-2.0"
] | 110 | 2015-03-03T20:23:42.000Z | 2021-12-16T23:01:29.000Z | from .. import util
import duo_client.admin
from .base import TestAdmin
class TestU2F(TestAdmin):
def test_get_u2ftokens_with_params(self):
""" Test to get u2ftokens with params.
"""
response = list(self.client_list.get_u2ftokens(limit=8))[0]
uri, args = response['uri'].split('?')
self.assertEqual(response['method'], 'GET')
self.assertEqual(uri, '/admin/v1/u2ftokens')
self.assertEqual(
util.params_to_dict(args),
{
'account_id':[self.client_list.account_id],
'limit': ['8'],
'offset': ['0'],
}
)
def test_get_u2ftokens_iterator(self):
response = self.client_list.get_u2ftokens_iterator()
response = next(response)
uri, args = response['uri'].split('?')
self.assertEqual(response['method'], 'GET')
self.assertEqual(uri, '/admin/v1/u2ftokens')
self.assertEqual(
util.params_to_dict(args),
{
'account_id': [self.client_list.account_id],
'limit': ['100'],
'offset': ['0']
}
)
def test_get_u2ftokens_without_params(self):
""" Test to get u2ftokens without params.
"""
response = list(self.client_list.get_u2ftokens())[0]
uri, args = response['uri'].split('?')
self.assertEqual(response['method'], 'GET')
self.assertEqual(uri, '/admin/v1/u2ftokens')
self.assertEqual(
util.params_to_dict(args),
{
'account_id': [self.client_list.account_id],
'limit': ['100'],
'offset': ['0'],
}
)
def test_get_u2ftokens_with_offset(self):
response = list(self.client_list.get_u2ftokens(limit=2, offset=3))[0]
uri, args = response['uri'].split('?')
self.assertEqual(response['method'], 'GET')
self.assertEqual(uri, '/admin/v1/u2ftokens')
self.assertEqual(
util.params_to_dict(args),
{
'account_id':[self.client_list.account_id],
'limit': ['2'],
'offset': ['3']
}
)
def test_get_u2ftoken_by_id(self):
""" Test to get u2ftoken by registration id.
"""
response = self.client.get_u2ftoken_by_id('DU012345678901234567')
uri, args = response['uri'].split('?')
self.assertEqual(response['method'], 'GET')
self.assertEqual(uri, '/admin/v1/u2ftokens/DU012345678901234567')
self.assertEqual(util.params_to_dict(args),
{'account_id':[self.client.account_id]})
def test_delete_u2ftoken(self):
""" Test to delete u2ftoken by registration id.
"""
response = self.client.delete_u2ftoken('DU012345678901234567')
uri, args = response['uri'].split('?')
self.assertEqual(response['method'], 'DELETE')
self.assertEqual(uri, '/admin/v1/u2ftokens/DU012345678901234567')
self.assertEqual(util.params_to_dict(args),
{'account_id':[self.client.account_id]})
| 34.204301 | 77 | 0.560516 | 329 | 3,181 | 5.227964 | 0.133739 | 0.156977 | 0.065116 | 0.062791 | 0.837791 | 0.806977 | 0.759302 | 0.710465 | 0.631395 | 0.631395 | 0 | 0.053149 | 0.296133 | 3,181 | 92 | 78 | 34.576087 | 0.715051 | 0.057843 | 0 | 0.521127 | 0 | 0 | 0.132636 | 0.027 | 0 | 0 | 0 | 0 | 0.253521 | 1 | 0.084507 | false | 0 | 0.042254 | 0 | 0.140845 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
4997b6d163be228f00ad79dc6aa0e14c9a882e4b | 76 | py | Python | Task/Closures-Value-capture/Python/closures-value-capture-6.py | LaudateCorpus1/RosettaCodeData | 9ad63ea473a958506c041077f1d810c0c7c8c18d | [
"Info-ZIP"
] | 5 | 2021-01-29T20:08:05.000Z | 2022-03-22T06:16:05.000Z | Task/Closures-Value-capture/Python/closures-value-capture-6.py | seanwallawalla-forks/RosettaCodeData | 9ad63ea473a958506c041077f1d810c0c7c8c18d | [
"Info-ZIP"
] | null | null | null | Task/Closures-Value-capture/Python/closures-value-capture-6.py | seanwallawalla-forks/RosettaCodeData | 9ad63ea473a958506c041077f1d810c0c7c8c18d | [
"Info-ZIP"
] | 1 | 2018-11-09T22:08:40.000Z | 2018-11-09T22:08:40.000Z | funcs = map(lambda i: lambda: i * i, range(10))
print funcs[3]() # prints 9
| 25.333333 | 47 | 0.631579 | 14 | 76 | 3.428571 | 0.714286 | 0.291667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.064516 | 0.184211 | 76 | 2 | 48 | 38 | 0.709677 | 0.105263 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0.5 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 |
770df289660c24b8559990b9c4c5482be6ae96a1 | 51 | py | Python | detector/__init__.py | qwe79137/JumpStarter | e59ee341f31d7cc9fde05b6f395d29d4d63130e4 | [
"MIT"
] | 18 | 2021-05-15T05:38:11.000Z | 2022-03-15T22:22:33.000Z | detector/__init__.py | qwe79137/JumpStarter | e59ee341f31d7cc9fde05b6f395d29d4d63130e4 | [
"MIT"
] | 1 | 2022-01-05T12:02:27.000Z | 2022-03-20T02:49:51.000Z | detector/__init__.py | qwe79137/JumpStarter | e59ee341f31d7cc9fde05b6f395d29d4d63130e4 | [
"MIT"
] | 4 | 2021-06-11T08:29:55.000Z | 2022-03-04T08:55:53.000Z | from .cs_anomaly_detector import CSAnomalyDetector
| 25.5 | 50 | 0.901961 | 6 | 51 | 7.333333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.078431 | 51 | 1 | 51 | 51 | 0.93617 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
65694425c5d5436fc59eed39c494348b250b8aa2 | 1,650 | py | Python | asnets/experiments/descent.py | xf1590281/ASNets | 5f4b29fb62a5e72004b813228442d06246c9ec33 | [
"MIT"
] | 21 | 2017-12-05T13:27:36.000Z | 2021-11-16T20:32:33.000Z | asnets/experiments/descent.py | xf1590281/ASNets | 5f4b29fb62a5e72004b813228442d06246c9ec33 | [
"MIT"
] | 2 | 2018-07-16T12:15:46.000Z | 2020-10-31T00:02:49.000Z | asnets/experiments/descent.py | xf1590281/ASNets | 5f4b29fb62a5e72004b813228442d06246c9ec33 | [
"MIT"
] | 7 | 2018-03-19T13:45:13.000Z | 2022-03-24T07:52:20.000Z | """For experiments on our descent domain."""
PDDL_DIR = '../problems/mine/descent/'
COMMON_PDDLS = ['descent.pddl']
TRAIN_PDDLS = [
'problems/descent-n2-s1.pddl',
'problems/descent-n3-s1.pddl',
'problems/descent-n4-s1.pddl',
'problems/descent-n5-s1.pddl',
'problems/descent-n6-s1.pddl',
'problems/descent-n7-s1.pddl',
'problems/descent-n8-s1.pddl',
'problems/descent-n9-s1.pddl',
'problems/descent-n10-s1.pddl',
'problems/descent-n11-s1.pddl',
'problems/descent-n12-s1.pddl',
] # yapf: disable
TRAIN_NAMES = None
TEST_RUNS = [
(['problems/descent-n13-s1.pddl'], None),
(['problems/descent-n14-s1.pddl'], None),
(['problems/descent-n15-s1.pddl'], None),
(['problems/descent-n16-s1.pddl'], None),
(['problems/descent-n17-s1.pddl'], None),
(['problems/descent-n18-s1.pddl'], None),
(['problems/descent-n19-s1.pddl'], None),
(['problems/descent-n20-s1.pddl'], None),
(['problems/descent-n25-s1.pddl'], None),
(['problems/descent-n30-s1.pddl'], None),
(['problems/descent-n35-s1.pddl'], None),
(['problems/descent-n40-s1.pddl'], None),
(['problems/descent-n45-s1.pddl'], None),
(['problems/descent-n50-s1.pddl'], None),
(['problems/descent-n55-s1.pddl'], None),
(['problems/descent-n60-s1.pddl'], None),
(['problems/descent-n65-s1.pddl'], None),
(['problems/descent-n70-s1.pddl'], None),
(['problems/descent-n75-s1.pddl'], None),
(['problems/descent-n80-s1.pddl'], None),
(['problems/descent-n85-s1.pddl'], None),
(['problems/descent-n90-s1.pddl'], None),
(['problems/descent-n95-s1.pddl'], None),
] # yapf: disable
| 37.5 | 45 | 0.629697 | 219 | 1,650 | 4.721461 | 0.246575 | 0.49323 | 0.222437 | 0.382979 | 0.531915 | 0 | 0 | 0 | 0 | 0 | 0 | 0.065965 | 0.136364 | 1,650 | 43 | 46 | 38.372093 | 0.659649 | 0.040606 | 0 | 0 | 0 | 0 | 0.622462 | 0.614848 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
65a11a7059791b64e3cf61b4460e7971f76bd560 | 26 | py | Python | sdk/lusid/__version__.py | mneedham/lusid-sdk-python | edabec16b357ba3fc48a53f3faacb4f94b18843e | [
"MIT"
] | null | null | null | sdk/lusid/__version__.py | mneedham/lusid-sdk-python | edabec16b357ba3fc48a53f3faacb4f94b18843e | [
"MIT"
] | null | null | null | sdk/lusid/__version__.py | mneedham/lusid-sdk-python | edabec16b357ba3fc48a53f3faacb4f94b18843e | [
"MIT"
] | null | null | null | __version__ = "0.11.2808"
| 13 | 25 | 0.692308 | 4 | 26 | 3.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.304348 | 0.115385 | 26 | 1 | 26 | 26 | 0.304348 | 0 | 0 | 0 | 0 | 0 | 0.346154 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
65c321d893115cf1d7bb3bfe5ed61e17fa3c0558 | 10,121 | py | Python | OmniDB/OmniDB_app/views/tree_cachedb.py | sifacaii/OmniDB | 92243792ae4141d0b0bd7f72715be07b55a31c75 | [
"MIT"
] | 1 | 2021-12-16T11:22:05.000Z | 2021-12-16T11:22:05.000Z | OmniDB/OmniDB_app/views/tree_cachedb.py | sifacaii/OmniDB | 92243792ae4141d0b0bd7f72715be07b55a31c75 | [
"MIT"
] | null | null | null | OmniDB/OmniDB_app/views/tree_cachedb.py | sifacaii/OmniDB | 92243792ae4141d0b0bd7f72715be07b55a31c75 | [
"MIT"
] | null | null | null | from django.http import HttpResponse
from django.template import loader
from django.http import JsonResponse
from django.core import serializers
import json
import sys
import OmniDB_app.include.Spartacus as Spartacus
import OmniDB_app.include.Spartacus.Database as Database
import OmniDB_app.include.Spartacus.Utils as Utils
from OmniDB_app.include.Session import Session
from datetime import datetime
from OmniDB_app.views.memory_objects import *
@user_authenticated
@database_required(p_check_timeout = True, p_open_connection = True)
def get_tree_info(request, v_database):
v_return = {}
v_return['v_data'] = ''
v_return['v_error'] = False
v_return['v_error_id'] = -1
json_object = json.loads(request.POST.get('data', None))
v_database_index = json_object['p_database_index']
v_tab_id = json_object['p_tab_id']
try:
v_return['v_data'] = {
'v_mode': 'database',
'v_database_return': {
'v_database': v_database.GetName(),
'version': v_database.GetVersion(),
'v_username': v_database.GetUserName(),
'superuser': v_database.GetUserSuper(),
}
}
except Exception as exc:
v_return['v_data'] = {'password_timeout': True, 'message': str(exc) }
v_return['v_error'] = True
return JsonResponse(v_return)
return JsonResponse(v_return)
@user_authenticated
@database_required(p_check_timeout = True, p_open_connection = True)
def get_properties(request, v_database):
v_return = {}
v_return['v_data'] = ''
v_return['v_error'] = False
v_return['v_error_id'] = -1
json_object = json.loads(request.POST.get('data', None))
v_database_index = json_object['p_database_index']
v_data = json_object['p_data']
v_tab_id = json_object['p_tab_id']
v_list_properties = []
v_ddl = ''
try:
v_properties = v_database.GetProperties(v_data['p_schema'],v_data['p_table'],v_data['p_object'],v_data['p_type'])
for v_property in v_properties.Rows:
v_list_properties.append([v_property['Property'],v_property['Value']])
v_ddl = v_database.GetDDL(v_data['p_schema'],v_data['p_table'],v_data['p_object'],v_data['p_type'])
except Exception as exc:
v_return['v_data'] = {'password_timeout': True, 'message': str(exc) }
v_return['v_error'] = True
return JsonResponse(v_return)
v_return['v_data'] = {
'properties': v_list_properties,
'ddl': v_ddl
}
return JsonResponse(v_return)
@user_authenticated
@database_required(p_check_timeout = True, p_open_connection = True)
def get_tables(request, v_database):
v_return = {}
v_return['v_data'] = ''
v_return['v_error'] = False
v_return['v_error_id'] = -1
json_object = json.loads(request.POST.get('data', None))
v_database_index = json_object['p_database_index']
v_schema = json_object['p_schema']
v_tab_id = json_object['p_tab_id']
v_list_tables = []
try:
v_tables = v_database.QueryTables(False,v_schema)
for v_table in v_tables.Rows:
v_table_data = {
'v_name': v_table['table_name'],
'v_has_primary_keys': v_database.v_has_primary_keys,
'v_has_foreign_keys': v_database.v_has_foreign_keys,
'v_has_uniques': v_database.v_has_uniques,
'v_has_indexes': v_database.v_has_indexes,
'v_has_checks': v_database.v_has_checks,
'v_has_excludes': v_database.v_has_excludes,
'v_has_rules': v_database.v_has_rules,
'v_has_triggers': v_database.v_has_triggers,
'v_has_partitions': v_database.v_has_partitions,
'v_has_statistics': v_database.v_has_statistics
}
v_list_tables.append(v_table_data)
except Exception as exc:
v_return['v_data'] = {'password_timeout': True, 'message': str(exc) }
v_return['v_error'] = True
return JsonResponse(v_return)
v_return['v_data'] = v_list_tables
return JsonResponse(v_return)
@user_authenticated
@database_required(p_check_timeout = True, p_open_connection = True)
def get_columns(request, v_database):
v_return = {}
v_return['v_data'] = ''
v_return['v_error'] = False
v_return['v_error_id'] = -1
json_object = json.loads(request.POST.get('data', None))
v_database_index = json_object['p_database_index']
v_table = json_object['p_table']
v_schema = json_object['p_schema']
v_tab_id = json_object['p_tab_id']
v_list_columns = []
try:
v_columns = v_database.QueryTablesFields(v_table,False,v_schema)
for v_column in v_columns.Rows:
v_column_data = {
'v_column_name': v_column['column_name'],
'v_data_type': v_column['data_type'],
'v_data_length': v_column['data_length'],
'v_nullable': v_column['nullable']
}
v_list_columns.append(v_column_data)
except Exception as exc:
v_return['v_data'] = {'password_timeout': True, 'message': str(exc) }
v_return['v_error'] = True
return JsonResponse(v_return)
v_return['v_data'] = v_list_columns
return JsonResponse(v_return)
@user_authenticated
@database_required(p_check_timeout = True, p_open_connection = True)
def get_pk(request, v_database):
v_return = {}
v_return['v_data'] = ''
v_return['v_error'] = False
v_return['v_error_id'] = -1
json_object = json.loads(request.POST.get('data', None))
v_database_index = json_object['p_database_index']
v_table = json_object['p_table']
v_schema = json_object['p_schema']
v_tab_id = json_object['p_tab_id']
v_list_pk = []
try:
v_pks = v_database.QueryTablesPrimaryKeys(v_table, False, v_schema)
for v_pk in v_pks.Rows:
v_pk_data = []
v_pk_data.append(v_pk['constraint_name'])
v_list_pk.append(v_pk_data)
except Exception as exc:
v_return['v_data'] = {'password_timeout': True, 'message': str(exc) }
v_return['v_error'] = True
return JsonResponse(v_return)
v_return['v_data'] = v_list_pk
return JsonResponse(v_return)
@user_authenticated
@database_required(p_check_timeout = True, p_open_connection = True)
def get_pk_columns(request, v_database):
v_return = {}
v_return['v_data'] = ''
v_return['v_error'] = False
v_return['v_error_id'] = -1
json_object = json.loads(request.POST.get('data', None))
v_database_index = json_object['p_database_index']
v_pkey = json_object['p_key']
v_table = json_object['p_table']
v_schema = json_object['p_schema']
v_tab_id = json_object['p_tab_id']
v_list_pk = []
try:
v_pks = v_database.QueryTablesPrimaryKeysColumns(v_pkey, v_table, False, v_schema)
for v_pk in v_pks.Rows:
v_pk_data = []
v_pk_data.append(v_pk['column_name'])
v_list_pk.append(v_pk_data)
except Exception as exc:
v_return['v_data'] = {'password_timeout': True, 'message': str(exc) }
v_return['v_error'] = True
return JsonResponse(v_return)
v_return['v_data'] = v_list_pk
return JsonResponse(v_return)
@user_authenticated
@database_required(p_check_timeout = True, p_open_connection = True)
def get_databases(request, v_database):
v_return = {}
v_return['v_data'] = ''
v_return['v_error'] = False
v_return['v_error_id'] = -1
json_object = json.loads(request.POST.get('data', None))
v_database_index = json_object['p_database_index']
v_tab_id = json_object['p_tab_id']
v_list_databases = []
try:
v_databases = v_database.QueryDatabases()
for v_database in v_databases.Rows:
v_database_data = {
'v_name': v_database[0]
}
v_list_databases.append(v_database_data)
except Exception as exc:
v_return['v_data'] = {'password_timeout': True, 'message': str(exc) }
v_return['v_error'] = True
return JsonResponse(v_return)
v_return['v_data'] = v_list_databases
return JsonResponse(v_return)
@user_authenticated
@database_required(p_check_timeout = True, p_open_connection = True)
def kill_backend(request, v_database):
v_return = {}
v_return['v_data'] = ''
v_return['v_error'] = False
v_return['v_error_id'] = -1
json_object = json.loads(request.POST.get('data', None))
v_database_index = json_object['p_database_index']
v_pid = json_object['p_pid']
v_tab_id = json_object['p_tab_id']
try:
v_data = v_database.Terminate(v_pid)
except Exception as exc:
v_return['v_data'] = {'password_timeout': True, 'message': str(exc) }
v_return['v_error'] = True
return JsonResponse(v_return)
return JsonResponse(v_return)
@user_authenticated
@database_required(p_check_timeout = True, p_open_connection = True)
def get_all(request, v_database):
v_return = {}
v_return['v_data'] = ''
v_return['v_error'] = False
v_return['v_error_id'] = -1
json_object = json.loads(request.POST.get('data', None))
v_database_index = json_object['p_database_index']
v_tab_id = json_object['p_tab_id']
v_list_columns = []
try:
v_columns = v_database.GetALL()
for v_column in v_columns.Rows:
v_column_data = {
'v_table_schema':v_column['table_schema'],
'v_table_name':v_column['table_name'],
'v_column_name': v_column['column_name'],
'v_data_type': v_column['data_type'],
'v_nullable': v_column['nullable']
}
v_list_columns.append(v_column_data)
except Exception as exc:
v_return['v_data'] = {'password_timeout': True, 'message': str(exc) }
v_return['v_error'] = True
return JsonResponse(v_return)
v_return['v_data'] = v_list_columns
return JsonResponse(v_return)
| 32.439103 | 121 | 0.652505 | 1,411 | 10,121 | 4.258682 | 0.082211 | 0.093194 | 0.091862 | 0.058412 | 0.763688 | 0.730404 | 0.730404 | 0.727409 | 0.727409 | 0.727409 | 0 | 0.001283 | 0.229622 | 10,121 | 311 | 122 | 32.543408 | 0.769398 | 0 | 0 | 0.682731 | 0 | 0 | 0.142278 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.036145 | false | 0.036145 | 0.048193 | 0 | 0.156627 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
65d8b10fa11806d49b8ea08972ba0abca7d9a320 | 265 | py | Python | art/defences/__init__.py | monshri/adversarial-robustness-toolbox | 6465240cb6a71bc376dae52459a7133e403df8d2 | [
"MIT"
] | 1,350 | 2020-07-14T08:06:55.000Z | 2022-03-31T19:22:25.000Z | art/defences/__init__.py | Tikquuss/adversarial-robustness-toolbox | 62ffe7c951d8a60d49a9ea6ac7b04aa4432a3fb7 | [
"MIT"
] | 936 | 2020-07-14T03:33:00.000Z | 2022-03-31T23:05:29.000Z | art/defences/__init__.py | Tikquuss/adversarial-robustness-toolbox | 62ffe7c951d8a60d49a9ea6ac7b04aa4432a3fb7 | [
"MIT"
] | 413 | 2020-07-16T16:00:16.000Z | 2022-03-29T10:31:12.000Z | """
Module implementing multiple types of defences against adversarial attacks.
"""
from art.defences import detector
from art.defences import postprocessor
from art.defences import preprocessor
from art.defences import trainer
from art.defences import transformer
| 29.444444 | 75 | 0.837736 | 34 | 265 | 6.529412 | 0.5 | 0.157658 | 0.337838 | 0.472973 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.116981 | 265 | 8 | 76 | 33.125 | 0.948718 | 0.283019 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
02a6c6fbc42d26d31f64525fbc3f02372cc9c145 | 728 | py | Python | tests/test_at.py | rohankumardubey/npx | 3dc43cbf765a748f5197286ed70f5cbccf11e2bf | [
"BSD-3-Clause"
] | 24 | 2021-03-05T16:19:37.000Z | 2022-01-10T00:09:54.000Z | tests/test_at.py | rohankumardubey/npx | 3dc43cbf765a748f5197286ed70f5cbccf11e2bf | [
"BSD-3-Clause"
] | 1 | 2021-07-02T13:38:46.000Z | 2021-07-02T13:38:46.000Z | tests/test_at.py | rohankumardubey/npx | 3dc43cbf765a748f5197286ed70f5cbccf11e2bf | [
"BSD-3-Clause"
] | 2 | 2021-07-02T13:19:52.000Z | 2022-03-01T17:20:58.000Z | import numpy as np
import npx
def test_sum_at():
a = [1.0, 2.0, 3.0]
idx = [0, 1, 0]
out = npx.sum_at(a, idx, minlength=4)
tol = 1.0e-13
ref = np.array([4.0, 2.0, 0.0, 0.0])
assert np.all(np.abs(out - ref) < (1 + np.abs(ref)) * tol)
def test_add_at():
a = [1.0, 2.0, 3.0]
idx = [0, 1, 0]
out = np.zeros(2)
npx.add_at(out, idx, a)
tol = 1.0e-13
ref = np.array([4.0, 2.0])
assert np.all(np.abs(out - ref) < (1 + np.abs(ref)) * tol)
def test_subtract_at():
a = [1.0, 2.0, 3.0]
idx = [0, 1, 0]
out = np.ones(2)
npx.subtract_at(out, idx, a)
tol = 1.0e-13
ref = np.array([-3.0, -1.0])
assert np.all(np.abs(out - ref) < (1 + np.abs(ref)) * tol)
| 20.222222 | 62 | 0.502747 | 152 | 728 | 2.348684 | 0.197368 | 0.039216 | 0.042017 | 0.042017 | 0.717087 | 0.717087 | 0.717087 | 0.717087 | 0.717087 | 0.717087 | 0 | 0.11597 | 0.277473 | 728 | 35 | 63 | 20.8 | 0.562738 | 0 | 0 | 0.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.12 | 1 | 0.12 | false | 0 | 0.08 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
02a9b20158f7008c8754ab746669dabd5f23c745 | 402 | py | Python | test/test21.py | zhouyuanmin/MyDemo | 664977a6243992c77931e58b98f5262745759d1a | [
"MIT"
] | null | null | null | test/test21.py | zhouyuanmin/MyDemo | 664977a6243992c77931e58b98f5262745759d1a | [
"MIT"
] | null | null | null | test/test21.py | zhouyuanmin/MyDemo | 664977a6243992c77931e58b98f5262745759d1a | [
"MIT"
] | null | null | null | """21. 输出以下由数字组成的图形"""
for i in range(6):
for j in range(i + 1):
print(j + 1, end='')
print()
#
for i in range(6, 0, -1):
for j in range(6 - i):
print(' ', end='')
for j in range(i, 0, -1):
print(j, end='')
print()
#
for i in range(6):
for j in range(5 - i):
print(' ', end='')
for j in range(i + 1):
print(j + 1, end='')
print()
| 20.1 | 29 | 0.442786 | 68 | 402 | 2.617647 | 0.191176 | 0.314607 | 0.168539 | 0.308989 | 0.792135 | 0.792135 | 0.792135 | 0.679775 | 0.511236 | 0.314607 | 0 | 0.057034 | 0.345771 | 402 | 19 | 30 | 21.157895 | 0.619772 | 0.039801 | 0 | 0.6875 | 0 | 0 | 0.005291 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.5 | 0 | 0 | 0 | null | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 |
02ae2d04122145d41b46fdd90758f057996875c4 | 37 | py | Python | trainer/__init__.py | DQle38/Fair-Feature-Distillation-for-Visual-Recognition | f0f98728f36528218bf19dce9a26d6ee1ba96e58 | [
"MIT"
] | 5 | 2021-09-07T13:33:45.000Z | 2022-02-12T18:56:45.000Z | trainer/__init__.py | DQle38/Fair-Feature-Distillation-for-Visual-Recognition | f0f98728f36528218bf19dce9a26d6ee1ba96e58 | [
"MIT"
] | null | null | null | trainer/__init__.py | DQle38/Fair-Feature-Distillation-for-Visual-Recognition | f0f98728f36528218bf19dce9a26d6ee1ba96e58 | [
"MIT"
] | 4 | 2021-09-25T06:56:38.000Z | 2022-03-24T18:06:08.000Z | from trainer.trainer_factory import * | 37 | 37 | 0.864865 | 5 | 37 | 6.2 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.081081 | 37 | 1 | 37 | 37 | 0.911765 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
02e9af16cc6a6e575e2429686b67bba506cb2707 | 187,438 | py | Python | find_glaciers_2redo.py | Ruitangtang/PyGEM | ac619bd1fd862b93a01068a0887efa2a97478b99 | [
"MIT"
] | 25 | 2019-06-12T21:08:24.000Z | 2022-03-01T08:05:14.000Z | find_glaciers_2redo.py | Ruitangtang/PyGEM | ac619bd1fd862b93a01068a0887efa2a97478b99 | [
"MIT"
] | 2 | 2020-04-23T14:08:00.000Z | 2020-06-04T13:52:44.000Z | find_glaciers_2redo.py | Ruitangtang/PyGEM | ac619bd1fd862b93a01068a0887efa2a97478b99 | [
"MIT"
] | 24 | 2019-06-12T19:48:40.000Z | 2022-02-16T03:42:53.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Jan 6 13:54:37 2021
@author: drounce
"""
import os
import pickle
import shutil
import numpy as np
import pandas as pd
import pygem.pygem_input as pygem_prms
regions = [3]
#regions = pygem_prms.rgi_regionsO1
#start_count = 10000
#end_count = 20000
start_count = 0
end_count = None
option_missing_sims = True
option_read_missing_mcmc_pkl = False
option_missing_mcmc = False
option_dif_success = False
option_redo_nomelt = False
option_zip_dir = False
if option_missing_sims:
glacno_list = []
for reg in regions:
dir_fp = ('/Users/drounce/Documents/HiMAT/spc_backup/simulations/' + str(reg).zfill(2) +
'/failed/' + str(reg).zfill(2) + '/CanESM2/rcp26/')
for i in os.listdir(dir_fp):
if i.endswith('.txt'):
glacno_list.append(i.split('-')[0])
glacno_list = sorted(glacno_list)
print(glacno_list)
if option_zip_dir:
for reg in regions:
# dir_fp = pygem_prms.output_filepath + 'calibration/' + str(reg).zfill(2)
# dir_fp = pygem_prms.output_filepath + 'emulator/models/' + str(reg).zfill(2)
# dir_fp = pygem_prms.output_filepath + 'emulator/sims/' + str(reg).zfill(2)
# dir_fp = pygem_prms.oggm_gdir_fp + 'per_glacier/RGI60-' + str(reg).zfill(2)
# for gcm_name in ['GFDL-ESM2M']:
# for gcm_name in ['GISS-E2-R']:
# for gcm_name in ['IPSL-CM5A-LR']:
# for gcm_name in ['MPI-ESM-LR']:
for gcm_name in ['NorESM1-M']:
dir_fp = pygem_prms.output_filepath + 'simulations/' + gcm_name
print('trying to zip ' + dir_fp)
shutil.make_archive(dir_fp, "zip", dir_fp)
print('zippped ' + dir_fp)
#%%
if option_read_missing_mcmc_pkl:
pkl_fp = '/Users/drounce/Documents/HiMAT/spc_backup/'
for reg in regions:
pkl_fns = []
for i in os.listdir(pkl_fp):
if i.startswith(str(reg)) and i.endswith('.pkl'):
pkl_fns.append(i)
pkl_fns = sorted(pkl_fns)
glac_no = []
for pkl_fn in pkl_fns:
# pkl_fn = str(reg) + '-todo_list.pkl'
with open(pkl_fp + pkl_fn, 'rb') as f:
glac_no_subset = pickle.load(f)
glac_no = glac_no + glac_no_subset
glac_no = sorted(glac_no)
print(len(glac_no), glac_no)
#%%
if option_missing_mcmc:
for reg in regions:
prms_fp = '/Users/drounce/Documents/HiMAT/spc_backup/calibration-trial/' + str(reg).zfill(2) + '/'
# prms_fp = pygem_prms.output_filepath + 'calibration/' + str(reg).zfill(2) + '/'
print(prms_fp)
prms_fns = []
for i in os.listdir(prms_fp):
if i.endswith('-modelprms_dict.pkl'):
prms_fns.append(i)
prms_fns = sorted(prms_fns)
print(prms_fns)
todo_list = []
# for nfn, prms_fn in enumerate(prms_fns):
if end_count is None:
end_count = len(prms_fns)
for nfn, prms_fn in enumerate(prms_fns[start_count:end_count]):
glac_str = prms_fn.split('-')[0]
if nfn%500 == 0:
print(glac_str)
# Load model parameters
try:
with open(prms_fp + prms_fn, 'rb') as f:
modelprms_dict = pickle.load(f)
# Check if 'MCMC' is in the modelprms_dict
if not 'MCMC' in modelprms_dict.keys():
todo_list.append(glac_str)
except:
print('\n\n' + glac_str + ' had issue with loading modelprms_dict\n\n')
print('todo_list (length/list):', len(todo_list), todo_list)
# if len(todo_list) > 0:
# if end_count == len(prms_fns):
# todo_list_fn = str(reg) + '-todo_list.pkl'
# else:
# todo_list_fn = str(reg) + '-todo_list_' + str(start_count) + '-' + str(end_count) + '.pkl'
# todo_list_fp = pygem_prms.output_filepath + 'calibration/todo_pkls/'
# if not os.path.exists(todo_list_fp):
# os.makedirs(todo_list_fp)
#
## with open(todo_list_fp + todo_list_fn, 'wb') as f:
# with open(todo_list_fn, 'wb') as f:
# pickle.dump(todo_list, f)
##
## # # Find glaciers where error occurred
## # glac_str_1 = str(reg) + '.00001'
## # if glac_str_1 not in todo_list:
## # todo_list = [glac_str_1] + todo_list
## #
## # todo_array = np.array([int(x.split('.')[1]) for x in todo_list])
## # todo_subtract = todo_array[1:] - todo_array[:-1]
## # problem_glac_idx = np.where(todo_subtract > 1)[0]
## # todo_array_problems = todo_array[problem_glac_idx+1]
## # todo_list_problems = [str(reg) + '.' + str(x).zfill(5) for x in todo_array_problems]
## #
## # print(todo_list_problems)
#%%
if option_dif_success:
# glac_no = ['1.00055', '1.00056', '1.00057', '1.00058', '1.00059', '1.00060', '1.00061', '1.00062', '1.00063', '1.00064', '1.00065', '1.00066', '1.00067', '1.00068', '1.00069', '1.00070', '1.00071', '1.00072', '1.00073', '1.00074', '1.00075', '1.00076', '1.00077', '1.00078', '1.00079', '1.00080', '1.00081', '1.00082', '1.00083', '1.00084', '1.00085', '1.00086', '1.00087', '1.00088', '1.00089', '1.00090', '1.00091', '1.00092', '1.00093', '1.00094', '1.00095', '1.00096', '1.00097', '1.00098', '1.00099', '1.00100', '1.00101', '1.00102', '1.00103', '1.00104', '1.00105', '1.00106', '1.00107', '1.00108', '1.00109', '1.00110', '1.00111', '1.00112', '1.00113', '1.00114', '1.00115', '1.00116', '1.00117', '1.00118', '1.00119', '1.00120', '1.00121', '1.00122', '1.00123', '1.00124', '1.00125', '1.00126', '1.00127', '1.00128', '1.00129', '1.00130', '1.00131', '1.00132', '1.00133', '1.00134', '1.00135', '1.00136', '1.00137', '1.00138', '1.00139', '1.00140', '1.00141', '1.00142', '1.00196', '1.00197', '1.00198', '1.00199', '1.00200', '1.00201', '1.00202', '1.00203', '1.00204', '1.00205', '1.00206', '1.00207', '1.00208', '1.00209', '1.00210', '1.00211', '1.00212', '1.00213', '1.00214', '1.00215', '1.00216', '1.00217', '1.00218', '1.00219', '1.00220', '1.00221', '1.00222', '1.00223', '1.00224', '1.00225', '1.00226', '1.00227', '1.00228', '1.00229', '1.00230', '1.00231', '1.00232', '1.00233', '1.00234', '1.00235', '1.00236', '1.00237', '1.00238', '1.00239', '1.00240', '1.00241', '1.00242', '1.00243', '1.00244', '1.00245', '1.00246', '1.00247', '1.00248', '1.00249', '1.00250', '1.00251', '1.00252', '1.00253', '1.00254', '1.00255', '1.00256', '1.00257', '1.00258', '1.00259', '1.00260', '1.00261', '1.00262', '1.00263', '1.00264', '1.00265', '1.00266', '1.00267', '1.00268', '1.00269', '1.00270', '1.00271', '1.00272', '1.00273', '1.00274', '1.00275', '1.00276', '1.00277', '1.00278', '1.00279', '1.00280', '1.00281', '1.00282', '1.00283', '1.00284', '1.00343', '1.00344', '1.00345', '1.00346', '1.00347', '1.00348', '1.00349', '1.00350', '1.00351', '1.00352', '1.00353', '1.00354', '1.00355', '1.00356', '1.00357', '1.00358', '1.00359', '1.00360', '1.00361', '1.00362', '1.00363', '1.00364', '1.00365', '1.00366', '1.00367', '1.00368', '1.00369', '1.00370', '1.00371', '1.00372', '1.00373', '1.00374', '1.00375', '1.00376', '1.00377', '1.00378', '1.00379', '1.00380', '1.00381', '1.00382', '1.00383', '1.00384', '1.00385', '1.00386', '1.00387', '1.00388', '1.00389', '1.00390', '1.00391', '1.00392', '1.00393', '1.00394', '1.00395', '1.00396', '1.00397', '1.00398', '1.00399', '1.00400', '1.00401', '1.00402', '1.00403', '1.00404', '1.00405', '1.00406', '1.00407', '1.00408', '1.00409', '1.00410', '1.00411', '1.00412', '1.00413', '1.00414', '1.00415', '1.00416', '1.00417', '1.00418', '1.00419', '1.00420', '1.00421', '1.00422', '1.00423', '1.00424', '1.00425', '1.00426', '1.00483', '1.00484', '1.00485', '1.00486', '1.00487', '1.00488', '1.00489', '1.00490', '1.00491', '1.00492', '1.00493', '1.00494', '1.00495', '1.00496', '1.00497', '1.00498', '1.00499', '1.00500', '1.00501', '1.00502', '1.00503', '1.00504', '1.00505', '1.00506', '1.00507', '1.00508', '1.00509', '1.00510', '1.00511', '1.00512', '1.00513', '1.00514', '1.00515', '1.00516', '1.00517', '1.00518', '1.00519', '1.00520', '1.00521', '1.00522', '1.00523', '1.00524', '1.00525', '1.00526', '1.00527', '1.00528', '1.00529', '1.00530', '1.00531', '1.00532', '1.00533', '1.00534', '1.00535', '1.00536', '1.00537', '1.00538', '1.00539', '1.00540', '1.00541', '1.00542', '1.00543', '1.00544', '1.00545', '1.00546', '1.00547', '1.00548', '1.00549', '1.00550', '1.00551', '1.00552', '1.00553', '1.00554', '1.00555', '1.00556', '1.00557', '1.00558', '1.00559', '1.00560', '1.00561', '1.00562', '1.00563', '1.00564', '1.00565', '1.00566', '1.00567', '1.00568', '1.00625', '1.00626', '1.00627', '1.00628', '1.00629', '1.00630', '1.00631', '1.00632', '1.00633', '1.00634', '1.00635', '1.00636', '1.00637', '1.00638', '1.00639', '1.00640', '1.00641', '1.00642', '1.00643', '1.00644', '1.00645', '1.00646', '1.00647', '1.00648', '1.00649', '1.00650', '1.00651', '1.00652', '1.00653', '1.00654', '1.00655', '1.00656', '1.00657', '1.00658', '1.00659', '1.00660', '1.00661', '1.00662', '1.00663', '1.00664', '1.00665', '1.00666', '1.00667', '1.00668', '1.00669', '1.00670', '1.00671', '1.00672', '1.00673', '1.00674', '1.00675', '1.00676', '1.00677', '1.00678', '1.00679', '1.00680', '1.00681', '1.00682', '1.00683', '1.00684', '1.00685', '1.00686', '1.00687', '1.00688', '1.00689', '1.00690', '1.00691', '1.00692', '1.00693', '1.00694', '1.00695', '1.00696', '1.00697', '1.00698', '1.00699', '1.00700', '1.00701', '1.00702', '1.00703', '1.00704', '1.00705', '1.00706', '1.00707', '1.00708', '1.00709', '1.00710', '1.00767', '1.00768', '1.00769', '1.00770', '1.00771', '1.00772', '1.00773', '1.00774', '1.00775', '1.00776', '1.00777', '1.00778', '1.00779', '1.00780', '1.00781', '1.00782', '1.00783', '1.00784', '1.00785', '1.00786', '1.00787', '1.00788', '1.00789', '1.00790', '1.00791', '1.00792', '1.00793', '1.00794', '1.00795', '1.00796', '1.00797', '1.00798', '1.00799', '1.00800', '1.00801', '1.00802', '1.00803', '1.00804', '1.00805', '1.00806', '1.00807', '1.00808', '1.00809', '1.00810', '1.00811', '1.00812', '1.00813', '1.00814', '1.00815', '1.00816', '1.00817', '1.00818', '1.00819', '1.00820', '1.00821', '1.00822', '1.00823', '1.00824', '1.00825', '1.00826', '1.00827', '1.00828', '1.00829', '1.00830', '1.00831', '1.00832', '1.00833', '1.00834', '1.00835', '1.00836', '1.00837', '1.00838', '1.00839', '1.00840', '1.00841', '1.00842', '1.00843', '1.00844', '1.00845', '1.00846', '1.00847', '1.00848', '1.00849', '1.00850', '1.00851', '1.00908', '1.00909', '1.00910', '1.00911', '1.00912', '1.00913', '1.00914', '1.00915', '1.00916', '1.00917', '1.00918', '1.00919', '1.00920', '1.00921', '1.00922', '1.00923', '1.00924', '1.00925', '1.00926', '1.00927', '1.00928', '1.00929', '1.00930', '1.00931', '1.00932', '1.00933', 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'1.26539', '1.26540', '1.26541', '1.26542', '1.26543', '1.26544', '1.26545', '1.26546', '1.26547', '1.26548', '1.26605', '1.26606', '1.26607', '1.26608', '1.26609', '1.26610', '1.26611', '1.26612', '1.26613', '1.26614', '1.26615', '1.26616', '1.26617', '1.26618', '1.26619', '1.26620', '1.26621', '1.26622', '1.26623', '1.26624', '1.26625', '1.26626', '1.26627', '1.26628', '1.26629', '1.26630', '1.26631', '1.26632', '1.26633', '1.26634', '1.26635', '1.26636', '1.26637', '1.26638', '1.26639', '1.26640', '1.26641', '1.26642', '1.26643', '1.26644', '1.26645', '1.26646', '1.26647', '1.26648', '1.26649', '1.26650', '1.26651', '1.26652', '1.26653', '1.26654', '1.26655', '1.26656', '1.26657', '1.26658', '1.26659', '1.26660', '1.26661', '1.26662', '1.26663', '1.26664', '1.26665', '1.26666', '1.26667', '1.26668', '1.26669', '1.26670', '1.26671', '1.26672', '1.26673', '1.26674', '1.26675', '1.26676', '1.26677', '1.26678', '1.26679', '1.26680', '1.26681', '1.26682', '1.26683', '1.26684', '1.26685', '1.26686', '1.26687', '1.26688', '1.26689', '1.26749', '1.26750', '1.26751', '1.26752', '1.26753', '1.26754', '1.26755', '1.26756', '1.26757', '1.26758', '1.26759', '1.26760', '1.26761', '1.26762', '1.26763', '1.26764', '1.26765', '1.26766', '1.26767', '1.26768', '1.26769', '1.26770', '1.26771', '1.26772', '1.26773', '1.26774', '1.26775', '1.26776', '1.26777', '1.26778', '1.26779', '1.26780', '1.26781', '1.26782', '1.26783', '1.26784', '1.26785', '1.26786', '1.26787', '1.26788', '1.26789', '1.26790', '1.26791', '1.26792', '1.26793', '1.26794', '1.26795', '1.26796', '1.26797', '1.26798', '1.26799', '1.26800', '1.26801', '1.26802', '1.26803', '1.26804', '1.26805', '1.26806', '1.26807', '1.26808', '1.26809', '1.26810', '1.26811', '1.26812', '1.26813', '1.26814', '1.26815', '1.26816', '1.26817', '1.26818', '1.26819', '1.26820', '1.26821', '1.26822', '1.26823', '1.26824', '1.26825', '1.26826', '1.26827', '1.26828', '1.26829', '1.26830', '1.26888', '1.26889', '1.26890', '1.26891', '1.26892', '1.26893', '1.26894', '1.26895', '1.26896', '1.26897', '1.26898', '1.26899', '1.26900', '1.26901', '1.26902', '1.26903', '1.26904', '1.26905', '1.26906', '1.26907', '1.26908', '1.26909', '1.26910', '1.26911', '1.26912', '1.26913', '1.26914', '1.26915', '1.26916', '1.26917', '1.26918', '1.26919', '1.26920', '1.26921', '1.26922', '1.26923', '1.26924', '1.26925', '1.26926', '1.26927', '1.26928', '1.26929', '1.26930', '1.26931', '1.26932', '1.26933', '1.26934', '1.26935', '1.26936', '1.26937', '1.26938', '1.26939', '1.26940', '1.26941', '1.26942', '1.26943', '1.26944', '1.26945', '1.26946', '1.26947', '1.26948', '1.26949', '1.26950', '1.26951', '1.26952', '1.26953', '1.26954', '1.26955', '1.26956', '1.26957', '1.26958', '1.26959', '1.26960', '1.26961', '1.26962', '1.26963', '1.26964', '1.26965', '1.26966', '1.26967', '1.26968', '1.26969', '1.26970', '1.26971', '1.27030', '1.27031', '1.27032', '1.27033', '1.27034', '1.27035', '1.27036', '1.27037', '1.27038', '1.27039', '1.27040', '1.27041', '1.27042', '1.27043', '1.27044', '1.27045', '1.27046', '1.27047', '1.27048', '1.27049', '1.27050', '1.27051', '1.27052', '1.27053', '1.27054', '1.27055', '1.27056', '1.27057', '1.27058', '1.27059', '1.27060', '1.27061', '1.27062', '1.27063', '1.27064', '1.27065', '1.27066', '1.27067', '1.27068', '1.27069', '1.27070', '1.27071', '1.27072', '1.27073', '1.27074', '1.27075', '1.27076', '1.27077', '1.27078', '1.27079', '1.27080', '1.27081', '1.27082', '1.27083', '1.27084', '1.27085', '1.27086', '1.27087', '1.27088', '1.27089', '1.27090', '1.27091', '1.27092', '1.27093', '1.27094', '1.27095', '1.27096', '1.27097', '1.27098', '1.27099', '1.27100', '1.27101', '1.27102', '1.27103', '1.27104', '1.27105', '1.27106', '1.27107', '1.27108', '1.27109', '1.27110', '1.27111', '1.27112']
glac_no = ['3.03177', '3.03178', '3.03179', '3.03180', '3.03181', '3.03182', '3.03183', '3.03184', '3.03185', '3.03186', '3.03187', '3.03188', '3.03189', '3.03190', '3.03191', '3.03192', '3.03193', '3.03194', '3.03195', '3.03196', '3.03197', '3.03198', '3.03199', '3.03200', '3.03201', '3.03202', '3.03203', '3.03204', '3.03205', '3.03206', '3.03207', '3.03208', '3.03209', '3.03210', '3.03211', '3.03212', '3.03213', '3.03214', '3.03215', '3.03216', '3.03217', '3.03218', '3.03219', '3.03220', '3.03221', '3.03222', '3.03223', '3.03224', '3.03225', '3.03226', '3.03227', '3.03228', '3.03229', '3.04552', '3.04553', '3.04554', '3.04555', '3.04556', '3.04557', '3.04558']
# cal_list = []
cal_list = ['3.03179','3.03190','3.03201','3.03212','3.03223',
'3.03180','3.03191','3.03202','3.03213','3.03224',
'3.03181','3.03192','3.03203','3.03214','3.03225',
'3.03182','3.03193','3.03204','3.03215','3.03226',
'3.03183','3.03194','3.03205','3.03216','3.03227',
'3.03184','3.03195','3.03206','3.03217','3.03228',
'3.03185','3.03196','3.03207','3.03218','3.03229',
'3.03186','3.03197','3.03208','3.03219',
'3.03187','3.03198','3.03209','3.03220',
'3.03188','3.03199','3.03210','3.03221',
'3.03189','3.03200','3.03211','3.03222']
for reg in regions:
# glac_fp = '/Users/drounce/Documents/HiMAT/spc_backup/mcmc_success/' + str(reg).zfill(2) + '/'
#
# for i in os.listdir(glac_fp):
# if i.endswith('-mcmc_success.txt'):
# cal_list.append(i.split('-')[0])
todo_list = list(np.setdiff1d(glac_no, cal_list))
print(todo_list)
# # Find glaciers where error occurred
# glac_str_1 = str(reg) + '.00001'
# if glac_str_1 not in todo_list:
# todo_list = [glac_str_1] + todo_list
#
# todo_array = np.array([int(x.split('.')[1]) for x in todo_list])
# todo_subtract = todo_array[1:] - todo_array[:-1]
# problem_glac_idx = np.where(todo_subtract > 1)[0]
# todo_array_problems = todo_array[problem_glac_idx+1]
# todo_list_problems = [str(reg) + '.' + str(x).zfill(5) for x in todo_array_problems]
#
# print(todo_list_problems)
#%%
if option_redo_nomelt:
for reg in regions:
# List to re-do sims where no melting occurred because tbias was too restricted
# sims_fp = pygem_prms.emulator_fp + 'sims/' + str(reg).zfill(2) + '/'
sims_fp = '/Users/drounce/Documents/HiMAT/spc_backup/emulator/sims/' + str(reg).zfill(2) + '/'
sims_fns = []
for i in os.listdir(sims_fp):
if i.endswith('_emulator_sims.csv'):
sims_fns.append(i)
sims_fns = sorted(sims_fns)
redo_list = []
for nfn, sims_fn in enumerate(sims_fns):
glac_str = sims_fn.split('-')[0]
if nfn%500 == 0:
print(glac_str)
sims_df = pd.read_csv(sims_fp + sims_fn)
if sims_df['nbinyrs_negmbclim'].max() == 0:
redo_list.append(glac_str)
print(redo_list)
| 836.776786 | 178,952 | 0.545338 | 33,703 | 187,438 | 3.025191 | 0.488206 | 0.002511 | 0.001187 | 0.001295 | 0.016419 | 0.014428 | 0.011897 | 0.009612 | 0.008768 | 0.008768 | 0 | 0.58329 | 0.100353 | 187,438 | 224 | 178,953 | 836.776786 | 0.021343 | 0.970897 | 0 | 0.095238 | 0 | 0 | 0.224734 | 0.039604 | 0 | 0 | 0 | 0.004464 | 0 | 1 | 0 | false | 0 | 0.057143 | 0 | 0.057143 | 0.114286 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
02eefce79200ad634ced1e398fc7315c7ed9d19e | 52 | py | Python | Chapter 01/Chap01_Example1.39.py | Anancha/Programming-Techniques-using-Python | e80c329d2a27383909d358741a5cab03cb22fd8b | [
"MIT"
] | null | null | null | Chapter 01/Chap01_Example1.39.py | Anancha/Programming-Techniques-using-Python | e80c329d2a27383909d358741a5cab03cb22fd8b | [
"MIT"
] | null | null | null | Chapter 01/Chap01_Example1.39.py | Anancha/Programming-Techniques-using-Python | e80c329d2a27383909d358741a5cab03cb22fd8b | [
"MIT"
] | null | null | null | #\v --- vertical tab
print("Hi I am an \vEngineer")
| 17.333333 | 30 | 0.634615 | 9 | 52 | 3.666667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.173077 | 52 | 2 | 31 | 26 | 0.767442 | 0.365385 | 0 | 0 | 0 | 0 | 0.65625 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 |
b85cc42ce7460d38dc4fc4d607932955521f4e49 | 52 | py | Python | app/routers/notification/__init__.py | cdlaimin/pity | c718d4ec17bb5672fd6e671e6cee7e62d41a2743 | [
"Apache-2.0"
] | null | null | null | app/routers/notification/__init__.py | cdlaimin/pity | c718d4ec17bb5672fd6e671e6cee7e62d41a2743 | [
"Apache-2.0"
] | null | null | null | app/routers/notification/__init__.py | cdlaimin/pity | c718d4ec17bb5672fd6e671e6cee7e62d41a2743 | [
"Apache-2.0"
] | null | null | null | from app.routers.notification.message import router
| 26 | 51 | 0.865385 | 7 | 52 | 6.428571 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.076923 | 52 | 1 | 52 | 52 | 0.9375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
b8815da12123fbdce6d5db544f4f2af21ce51bd8 | 86 | py | Python | classification_ScanObjectNN/models/__init__.py | DeVriesMatt/pointMLP-pytorch | e9c09a2038551e83b072353f3fd7e3294463e892 | [
"Apache-2.0"
] | 95 | 2022-02-15T10:09:31.000Z | 2022-03-30T04:29:12.000Z | classification_ScanObjectNN/models/__init__.py | DeVriesMatt/pointMLP-pytorch | e9c09a2038551e83b072353f3fd7e3294463e892 | [
"Apache-2.0"
] | 17 | 2022-02-16T06:41:09.000Z | 2022-03-31T13:00:09.000Z | classification_ScanObjectNN/models/__init__.py | 13952522076/pointMLP-pytorch | 205669826d269972e2616b13198dd52f41c9992e | [
"Apache-2.0"
] | 13 | 2022-02-16T10:06:11.000Z | 2022-03-31T12:55:44.000Z | from __future__ import absolute_import
from .pointmlp import pointMLP, pointMLPElite
| 21.5 | 45 | 0.860465 | 10 | 86 | 6.9 | 0.6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.116279 | 86 | 3 | 46 | 28.666667 | 0.907895 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
b885544f2177cfd66cfba7f92e6cd162ad4c9562 | 2,122 | py | Python | tester/cp8.py | KuipersT/CS2900-Lab-1 | 351abab4bc67d07cc14e19e389d0a930c51121aa | [
"Apache-2.0"
] | null | null | null | tester/cp8.py | KuipersT/CS2900-Lab-1 | 351abab4bc67d07cc14e19e389d0a930c51121aa | [
"Apache-2.0"
] | null | null | null | tester/cp8.py | KuipersT/CS2900-Lab-1 | 351abab4bc67d07cc14e19e389d0a930c51121aa | [
"Apache-2.0"
] | null | null | null | test = {
'name': 'checkpoint-8',
'points': 1,
'suites': [
{
'cases': [
{
'code': r"""
>>> # It seems cDE is undefined. Have you defined it correctly?
>>> # I.e. cDE = ...
>>> 'cDE' in dir()
True
"""
},
{
'code': r"""
>>> # It seems cDu is undefined. Have you defined it correctly?
>>> # I.e. cDu = ...
>>> 'cDu' in dir()
True
"""
},
{
'code': r"""
>>> # It seems cEu is undefined. Have you defined it correctly?
>>> # I.e. cEu = ...
>>> 'cEu' in dir()
True
"""
},
{
'code': r"""
>>> # Your calculation of cDE is wrong by at least 0.001.
>>> # Check if it is following the calculation described in this notebook.
>>> np.isclose(cDE, 0.932, atol=10**-3, rtol=0)
True
"""
},
{
'code': r"""
>>> # Your calculation of cDu is wrong by at least 0.001.
>>> # Check if it is following the calculation described in this notebook.
>>> np.isclose(cDu, 0.927, atol=10**-3, rtol=0)
True
"""
},
{
'code': r"""
>>> # Your calculation of cEu is wrong by at least 0.001.
>>> # Check if it is following the calculation described in this notebook.
>>> np.isclose(cEu, 0.992, atol=10**-3, rtol=0)
True
"""
}
],
'scored': True,
'type': 'doctest'
}
]
}
| 34.786885 | 94 | 0.312912 | 174 | 2,122 | 3.816092 | 0.310345 | 0.045181 | 0.067771 | 0.054217 | 0.808735 | 0.801205 | 0.737952 | 0.674699 | 0.674699 | 0.503012 | 0 | 0.041394 | 0.567389 | 2,122 | 60 | 95 | 35.366667 | 0.681917 | 0 | 0 | 0.35 | 0 | 0.05 | 0.737512 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
b89cdcfd1eae6df82f75b8f8bbae2b0d704a445f | 33 | py | Python | qa327_test/integration/buy/test_buy.py | 327qabot/chad-CI-python | ca50e2f172a8efc67b63cd3250d2850517c1aeb9 | [
"MIT"
] | null | null | null | qa327_test/integration/buy/test_buy.py | 327qabot/chad-CI-python | ca50e2f172a8efc67b63cd3250d2850517c1aeb9 | [
"MIT"
] | 15 | 2020-10-15T17:02:08.000Z | 2020-12-14T03:16:25.000Z | qa327_test/integration/buy/test_buy.py | 327qabot/chad-CI-python | ca50e2f172a8efc67b63cd3250d2850517c1aeb9 | [
"MIT"
] | 2 | 2020-12-11T17:51:36.000Z | 2021-10-05T23:07:21.000Z | # All tests for R6 - /buy go here | 33 | 33 | 0.666667 | 7 | 33 | 3.142857 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.04 | 0.242424 | 33 | 1 | 33 | 33 | 0.84 | 0.939394 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
b8bd91567fff4b6c5b88a508600d51ea6e773fa5 | 108 | py | Python | firehole/algorithms/convert/__init__.py | xSumner/firehole | 50007fdf3d71cfe3a2c2aa76d2043bca1b52a05b | [
"Apache-2.0"
] | 4 | 2020-06-23T08:27:07.000Z | 2021-05-18T06:59:03.000Z | firehole/algorithms/convert/__init__.py | xSumner/firehole | 50007fdf3d71cfe3a2c2aa76d2043bca1b52a05b | [
"Apache-2.0"
] | null | null | null | firehole/algorithms/convert/__init__.py | xSumner/firehole | 50007fdf3d71cfe3a2c2aa76d2043bca1b52a05b | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from firehole.algorithms.convert.convertID import ConvertID
| 21.6 | 59 | 0.731481 | 14 | 108 | 5.642857 | 0.928571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020833 | 0.111111 | 108 | 4 | 60 | 27 | 0.802083 | 0.398148 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
b2272183ae8a9372679ffb4998f63bcc49316b65 | 497 | py | Python | test/test_SimController.py | jonaspleyer/PhysiCell-SimRunner | e4ae3326a200bfb4c7629e4704dfb9f915398373 | [
"BSD-3-Clause"
] | null | null | null | test/test_SimController.py | jonaspleyer/PhysiCell-SimRunner | e4ae3326a200bfb4c7629e4704dfb9f915398373 | [
"BSD-3-Clause"
] | null | null | null | test/test_SimController.py | jonaspleyer/PhysiCell-SimRunner | e4ae3326a200bfb4c7629e4704dfb9f915398373 | [
"BSD-3-Clause"
] | null | null | null | #!/bin/python
import unittest
from src.SimController import Controller
# TODO write tests for all important user functions of SimController class
class SimController(unittest.TestCase):
def test_add_sampler_method(self):
pass
def test_add_variable_param(self):
pass
def test_add_static_param(self):
pass
def test_add_correlated_param(self):
pass
def test_correlate_params(self):
pass
def test_run(self):
pass | 16.566667 | 74 | 0.688129 | 63 | 497 | 5.190476 | 0.52381 | 0.12844 | 0.168196 | 0.229358 | 0.256881 | 0.140673 | 0 | 0 | 0 | 0 | 0 | 0 | 0.255533 | 497 | 30 | 75 | 16.566667 | 0.883784 | 0.171026 | 0 | 0.4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033333 | 0 | 1 | 0.4 | false | 0.4 | 0.133333 | 0 | 0.6 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 |
b22e2dbad9fa90c4d745305577ef4dffb5608d3a | 77 | py | Python | pymonad/maybe/__init__.py | Wildhoney/Pymonad | 177989b3d0f362c3bf3af962d89306309ff000c3 | [
"MIT"
] | null | null | null | pymonad/maybe/__init__.py | Wildhoney/Pymonad | 177989b3d0f362c3bf3af962d89306309ff000c3 | [
"MIT"
] | null | null | null | pymonad/maybe/__init__.py | Wildhoney/Pymonad | 177989b3d0f362c3bf3af962d89306309ff000c3 | [
"MIT"
] | null | null | null | from .maybe import Maybe
from .nothing import Nothing
from .just import Just
| 19.25 | 28 | 0.805195 | 12 | 77 | 5.166667 | 0.416667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.155844 | 77 | 3 | 29 | 25.666667 | 0.953846 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
b28848c965ba9d66e7d0b6a7d9920622b5b2f49b | 172 | py | Python | service/admin.py | jlech42/chump_django | 6650de31ec9c4c35e45641a88f212e06a80ea4d7 | [
"MIT"
] | null | null | null | service/admin.py | jlech42/chump_django | 6650de31ec9c4c35e45641a88f212e06a80ea4d7 | [
"MIT"
] | null | null | null | service/admin.py | jlech42/chump_django | 6650de31ec9c4c35e45641a88f212e06a80ea4d7 | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import Service, ServiceContent
# Register your models here.
admin.site.register(Service)
admin.site.register(ServiceContent)
| 24.571429 | 43 | 0.825581 | 22 | 172 | 6.454545 | 0.545455 | 0.126761 | 0.239437 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.098837 | 172 | 6 | 44 | 28.666667 | 0.916129 | 0.151163 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
b28c58a3a7bea6eae86dbb7f7736e03314a3515d | 165 | py | Python | Patterns/Smita543.py | Smita543/HACKTOBERFEST2021_PATTERN | 5e8180e517703d97b77b92facbf9865ddfe34979 | [
"MIT"
] | null | null | null | Patterns/Smita543.py | Smita543/HACKTOBERFEST2021_PATTERN | 5e8180e517703d97b77b92facbf9865ddfe34979 | [
"MIT"
] | null | null | null | Patterns/Smita543.py | Smita543/HACKTOBERFEST2021_PATTERN | 5e8180e517703d97b77b92facbf9865ddfe34979 | [
"MIT"
] | null | null | null | for i in range(4):
for j in range(4-i):
print("*",end=" ")
print()
for i in range(3):
for j in range(i+2):
print("*",end=" ")
print() | 20.625 | 26 | 0.460606 | 28 | 165 | 2.714286 | 0.357143 | 0.368421 | 0.157895 | 0.289474 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.035714 | 0.321212 | 165 | 8 | 27 | 20.625 | 0.642857 | 0 | 0 | 0.5 | 0 | 0 | 0.024096 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 |
b2991b13e81808fff390093932fbd39b7cc28e07 | 89 | py | Python | task_geo/data_sources/covid/nyt/__init__.py | Brian-V/task-geo | f03776b63d9dd60f7fd5795023d36370c70a63b0 | [
"MIT"
] | 12 | 2020-03-29T12:02:24.000Z | 2021-05-08T22:05:11.000Z | task_geo/data_sources/covid/nyt/__init__.py | Brian-V/task-geo | f03776b63d9dd60f7fd5795023d36370c70a63b0 | [
"MIT"
] | 51 | 2020-03-29T11:31:54.000Z | 2020-06-13T16:55:30.000Z | task_geo/data_sources/covid/nyt/__init__.py | Brian-V/task-geo | f03776b63d9dd60f7fd5795023d36370c70a63b0 | [
"MIT"
] | 27 | 2020-03-29T09:36:26.000Z | 2021-10-31T19:44:19.000Z | from task_geo.data_sources.covid.nyt.nyt import us_covid_nyt
__all__ = ['us_covid_nyt']
| 22.25 | 60 | 0.808989 | 16 | 89 | 3.875 | 0.625 | 0.387097 | 0.322581 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.089888 | 89 | 3 | 61 | 29.666667 | 0.765432 | 0 | 0 | 0 | 0 | 0 | 0.134831 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
b29d38e0157cf48fadeb284f1134a7001af79bf6 | 207 | py | Python | lbm/utils/ansible/import.py | buzzsurfr/lbm | 01799b966bc38ef109d14131c0100c794e6e74a2 | [
"MIT"
] | null | null | null | lbm/utils/ansible/import.py | buzzsurfr/lbm | 01799b966bc38ef109d14131c0100c794e6e74a2 | [
"MIT"
] | 20 | 2016-05-09T11:22:20.000Z | 2016-06-16T14:53:44.000Z | lbm/utils/ansible/import.py | buzzsurfr/lbm | 01799b966bc38ef109d14131c0100c794e6e74a2 | [
"MIT"
] | null | null | null | import copy
import bigsuds
from ansible.parsing.dataloader import DataLoader
from ansible.vars import VariableManager
from ansible.inventory import Inventory
from system.models import DeviceGroup, Device
| 20.7 | 49 | 0.855072 | 26 | 207 | 6.807692 | 0.538462 | 0.186441 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.115942 | 207 | 9 | 50 | 23 | 0.967213 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
a2ae5da4f4d618132ceb74f19ee01d5e5ffcf0af | 788 | py | Python | pipeline_dp/__init__.py | MashaTelyatnikova/PipelineDP | b35d8cd5870df4949cf2431f4b3fda4b4465ba84 | [
"Apache-2.0"
] | null | null | null | pipeline_dp/__init__.py | MashaTelyatnikova/PipelineDP | b35d8cd5870df4949cf2431f4b3fda4b4465ba84 | [
"Apache-2.0"
] | null | null | null | pipeline_dp/__init__.py | MashaTelyatnikova/PipelineDP | b35d8cd5870df4949cf2431f4b3fda4b4465ba84 | [
"Apache-2.0"
] | null | null | null | from pipeline_dp.aggregate_params import AggregateParams
from pipeline_dp.aggregate_params import CountParams
from pipeline_dp.aggregate_params import MechanismType
from pipeline_dp.aggregate_params import Metrics
from pipeline_dp.aggregate_params import NoiseKind
from pipeline_dp.aggregate_params import PrivacyIdCountParams
from pipeline_dp.aggregate_params import SelectPartitionsParams
from pipeline_dp.aggregate_params import SumParams
from pipeline_dp.budget_accounting import NaiveBudgetAccountant
from pipeline_dp.dp_engine import DataExtractors
from pipeline_dp.dp_engine import DPEngine
from pipeline_dp.pipeline_backend import BeamBackend
from pipeline_dp.pipeline_backend import LocalBackend
from pipeline_dp.pipeline_backend import SparkRDDBackend
__version__ = '0.0.1rc1'
| 46.352941 | 63 | 0.899746 | 102 | 788 | 6.637255 | 0.264706 | 0.248154 | 0.289513 | 0.271787 | 0.651403 | 0.651403 | 0 | 0 | 0 | 0 | 0 | 0.005495 | 0.076142 | 788 | 16 | 64 | 49.25 | 0.924451 | 0 | 0 | 0 | 0 | 0 | 0.010152 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.933333 | 0 | 0.933333 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
a2bb9844027c774397a7109859b17f9dc44f5a9b | 96 | py | Python | app/app/admin.py | poornachandrakashi/covid-cough-prediction | 3466d21c1e9e9931484db486116afe8f591e6ab8 | [
"MIT"
] | 3 | 2020-04-05T21:09:07.000Z | 2022-02-15T15:23:37.000Z | app/app/admin.py | poornachandrakashi/covid-cough-prediction | 3466d21c1e9e9931484db486116afe8f591e6ab8 | [
"MIT"
] | 2 | 2020-06-06T01:42:31.000Z | 2021-06-10T22:43:54.000Z | app/app/admin.py | poornachandrakashi/covid-cough-prediction | 3466d21c1e9e9931484db486116afe8f591e6ab8 | [
"MIT"
] | 3 | 2020-04-08T12:53:47.000Z | 2021-08-10T11:10:32.000Z | from django.contrib import admin
from app.models import Response
admin.site.register(Response)
| 19.2 | 32 | 0.833333 | 14 | 96 | 5.714286 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.104167 | 96 | 4 | 33 | 24 | 0.930233 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
a2ef7d0a663ef0b9983b8a7e5e54c0ac54e7a1cc | 290 | py | Python | test/test_precipitation.py | jdkloe/python-metar | 0ac3c94e7f56eda252248ffe16e8425d0d242480 | [
"BSD-1-Clause"
] | 136 | 2018-07-25T06:44:30.000Z | 2022-03-29T18:39:03.000Z | test/test_precipitation.py | jdkloe/python-metar | 0ac3c94e7f56eda252248ffe16e8425d0d242480 | [
"BSD-1-Clause"
] | 125 | 2018-07-22T19:00:41.000Z | 2022-03-30T13:28:44.000Z | test/test_precipitation.py | jdkloe/python-metar | 0ac3c94e7f56eda252248ffe16e8425d0d242480 | [
"BSD-1-Clause"
] | 66 | 2018-07-22T18:57:23.000Z | 2022-03-10T18:29:28.000Z | """Test precipitation."""
from metar.Datatypes import precipitation
def test_trace():
"""How do we handle trace reports"""
assert precipitation("0000", "IN").string() == "Trace"
assert precipitation("0000", "IN").istrace()
assert not precipitation("0010", "IN").istrace()
| 29 | 58 | 0.672414 | 33 | 290 | 5.878788 | 0.606061 | 0.195876 | 0.237113 | 0.257732 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.04878 | 0.151724 | 290 | 9 | 59 | 32.222222 | 0.739837 | 0.172414 | 0 | 0 | 0 | 0 | 0.100437 | 0 | 0 | 0 | 0 | 0 | 0.6 | 1 | 0.2 | true | 0 | 0.2 | 0 | 0.4 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
0c1cb453629e71cce3ca4c90769ce499c2c47a44 | 182 | py | Python | spikes/Docker/current/docker-builds/broncode_c/executors/codeexecutor.py | CharlesDDNoble/broncode | 01d35823871345a42b7c1e022466561b48d69a17 | [
"MIT"
] | null | null | null | spikes/Docker/current/docker-builds/broncode_c/executors/codeexecutor.py | CharlesDDNoble/broncode | 01d35823871345a42b7c1e022466561b48d69a17 | [
"MIT"
] | 1 | 2020-06-06T00:42:26.000Z | 2020-06-06T00:42:26.000Z | spikes/Docker/old/poc2/executors/codeexecutor.py | CharlesDDNoble/broncode | 01d35823871345a42b7c1e022466561b48d69a17 | [
"MIT"
] | null | null | null | import subprocess
import abc
class CodeExecutor(abc.ABC):
@property
def get_log(self):
return self.log
@abc.abstractmethod
def execute():
pass
| 14 | 28 | 0.626374 | 21 | 182 | 5.380952 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.296703 | 182 | 12 | 29 | 15.166667 | 0.882813 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0.111111 | 0.222222 | 0.111111 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 5 |
0c31edfe01c344a3c3c48472fdb02978065adb9f | 135 | py | Python | app/django/apps/home/views.py | aoirint/Mnemosyne | 1b08aa827e4b74c24ec24887bce4bd0b50ce7b64 | [
"MIT"
] | null | null | null | app/django/apps/home/views.py | aoirint/Mnemosyne | 1b08aa827e4b74c24ec24887bce4bd0b50ce7b64 | [
"MIT"
] | 2 | 2020-11-12T17:12:18.000Z | 2020-11-12T17:12:18.000Z | app/django/apps/home/views.py | aoirint/Mnemosyne | 1b08aa827e4b74c24ec24887bce4bd0b50ce7b64 | [
"MIT"
] | null | null | null | from django.shortcuts import render, redirect
# Create your views here.
def index(request):
return redirect('print3d:index')
| 22.5 | 46 | 0.733333 | 17 | 135 | 5.823529 | 0.882353 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009009 | 0.177778 | 135 | 5 | 47 | 27 | 0.882883 | 0.17037 | 0 | 0 | 0 | 0 | 0.12381 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.333333 | 0.333333 | 1 | 0.333333 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 5 |
0c520124cc155368a0c730a8141583d477236bea | 91 | py | Python | squidasm/sim/network/__init__.py | QuTech-Delft/squidasm | 1d223a428620a2fb42a8a0e321dce732a1678f0d | [
"MIT"
] | 2 | 2022-01-16T00:25:27.000Z | 2022-01-21T13:56:45.000Z | squidasm/sim/network/__init__.py | QuTech-Delft/squidasm | 1d223a428620a2fb42a8a0e321dce732a1678f0d | [
"MIT"
] | 8 | 2022-01-20T14:00:47.000Z | 2022-03-29T13:05:21.000Z | squidasm/sim/network/__init__.py | QuTech-Delft/squidasm | 1d223a428620a2fb42a8a0e321dce732a1678f0d | [
"MIT"
] | 1 | 2022-01-23T18:55:47.000Z | 2022-01-23T18:55:47.000Z | from squidasm.nqasm.netstack import reset_network
from .network import NVQDevice, QDevice
| 22.75 | 49 | 0.846154 | 12 | 91 | 6.333333 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.10989 | 91 | 3 | 50 | 30.333333 | 0.938272 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
0c6650a7f51f5d06667e90b482e2df4995811b66 | 880 | py | Python | mltools/__init__.py | YYMatUCI/CS273AHW4 | 08c3fdbef0ff6b17a4e9ec33a411ea2c26e4bb5e | [
"MIT"
] | null | null | null | mltools/__init__.py | YYMatUCI/CS273AHW4 | 08c3fdbef0ff6b17a4e9ec33a411ea2c26e4bb5e | [
"MIT"
] | null | null | null | mltools/__init__.py | YYMatUCI/CS273AHW4 | 08c3fdbef0ff6b17a4e9ec33a411ea2c26e4bb5e | [
"MIT"
] | 1 | 2018-12-07T21:30:46.000Z | 2018-12-07T21:30:46.000Z |
# import needed utility functions into main namespace
from .utils import *
# import "base" (abstract) classifier and regressor classes
from .base import *
# import feature transforms etc into sub-namespace
from . import transforms
from .transforms import rescale # useful to have at top namespace
# import "plot" functions into main namespace
from .plot import *
# import classifiers into sub-namespaces
try: from . import bayes
except ImportError: pass
try: from . import knn
except ImportError: pass
try: from . import linear
except ImportError: pass
try: from . import linearC
except ImportError: pass
try: from . import nnet
except ImportError: pass
try: from . import dtree
except ImportError: pass
try: from . import ensembles
except ImportError: pass
# import clustering unsupervised learning algos
try: from . import cluster
except ImportError: pass
| 20.952381 | 72 | 0.771591 | 115 | 880 | 5.904348 | 0.382609 | 0.132548 | 0.153166 | 0.212077 | 0.388807 | 0.300442 | 0 | 0 | 0 | 0 | 0 | 0 | 0.175 | 880 | 41 | 73 | 21.463415 | 0.935262 | 0.3625 | 0 | 0.380952 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.380952 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 5 |
a75fc753dd52488b7c8a713a3707bc1eb53baa31 | 473 | py | Python | amnesia/utils/validation/helpers.py | silenius/amnesia | ba5e3ac79a89da599c22206ad1fd17541855f74c | [
"BSD-2-Clause"
] | 4 | 2015-05-08T10:57:56.000Z | 2021-05-17T04:32:11.000Z | amnesia/utils/validation/helpers.py | silenius/amnesia | ba5e3ac79a89da599c22206ad1fd17541855f74c | [
"BSD-2-Clause"
] | 6 | 2019-12-26T16:43:41.000Z | 2022-02-28T11:07:54.000Z | amnesia/utils/validation/helpers.py | silenius/amnesia | ba5e3ac79a89da599c22206ad1fd17541855f74c | [
"BSD-2-Clause"
] | 1 | 2019-09-23T14:08:11.000Z | 2019-09-23T14:08:11.000Z | # -*- coding: utf-8 -*-
TRUE = ('1', 'yes', 'y', True, 'true', 'on', 1)
FALSE = ('0', 'no', 'n', False, 'false', 'off', 0)
def is_true(value):
if isinstance(value, str):
return value.lower() in TRUE
return value in TRUE
def is_false(value):
if isinstance(value, str):
return value.lower() in FALSE
return value in FALSE
def as_list(value):
if isinstance(value, (tuple, list, set, frozenset)):
return value
return [value]
| 23.65 | 56 | 0.589852 | 68 | 473 | 4.058824 | 0.397059 | 0.23913 | 0.184783 | 0.23913 | 0.311594 | 0.311594 | 0.311594 | 0.311594 | 0.311594 | 0 | 0 | 0.013889 | 0.238901 | 473 | 19 | 57 | 24.894737 | 0.752778 | 0.044397 | 0 | 0.142857 | 0 | 0 | 0.051111 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.214286 | false | 0 | 0 | 0 | 0.642857 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 |
a764d2fe5a98c070f060ad4257cffb74121250fe | 6,046 | py | Python | Parser/Tests/test_aiClient.py | WikiLibs/Parser | 1a20978a29ab285f80a35c7b55fc484c40d20bbb | [
"BSD-3-Clause"
] | null | null | null | Parser/Tests/test_aiClient.py | WikiLibs/Parser | 1a20978a29ab285f80a35c7b55fc484c40d20bbb | [
"BSD-3-Clause"
] | null | null | null | Parser/Tests/test_aiClient.py | WikiLibs/Parser | 1a20978a29ab285f80a35c7b55fc484c40d20bbb | [
"BSD-3-Clause"
] | null | null | null | import unittest
import sys
import io
import requests
import Parser.useful as useful
from unittest.mock import patch
import Parser.jsonClasses as jsClass
import Parser.aiClient as aiClient
class Test_aiClient(unittest.TestCase):
res = requests
res.status_code = 600
res.text = "test"
res2 = requests
res2.status_code = 200
res2.text = "test"
def test_get_token_connection_error(self):
with self.assertRaises(ConnectionError) as cm:
capturedOutput = io.StringIO() # setup an io
sys.stdout = capturedOutput # redirect stdout
client = aiClient.AIClient("what", "", "")
client.GetToken()
@patch('Parser.aiClient.AIClient.GetToken', return_value="test")
def test_push_symbol_error(self,
mock_get_token):
sym = jsClass.SymbolUpdate("test")
sym.setLang("test2")
sym.setPath("test")
sym.setType("test")
proto = jsClass.SymbolPrototype("test")
proto.setPrototype("test")
proto.setDescription("")
param = jsClass.SymbolParam("test")
param.setPath("")
param.setDescription("")
param.setPrototype("test")
proto.appendParameters(param)
proto.appendParameters(param)
sym.appendPrototypes(proto)
sym.appendPrototypes(proto)
sym.appendSymbols("test")
with self.assertRaises(OSError) as cm:
capturedOutput = io.StringIO() # setup an io
sys.stdout = capturedOutput # redirect stdout
client = aiClient.AIClient("what", "", "")
client.PushSymbol(sym)
@patch('requests.post', return_value=res2)
def test_get_token_no_error(self,
mock_request_post):
client = aiClient.AIClient("what", "", "")
client.GetToken()
mock_request_post.assert_called()
@patch('requests.patch', return_value=res2)
def test_refresh_token_refreshing_no_error(self,
mock_request_patch):
client = aiClient.AIClient("what", "", "")
client._time = -3000
client.CheckIfRefresh()
def test_refresh_token_connection_error(self):
with self.assertRaises(ConnectionError) as cm:
capturedOutput = io.StringIO() # setup an io
sys.stdout = capturedOutput # redirect stdout
client = aiClient.AIClient("what", "", "")
client._time = -3000
client.CheckIfRefresh()
def test_push_symbol_res_connect_error(self):
sym = jsClass.SymbolUpdate("test")
sym.setLang("test2")
sym.setPath("test")
sym.setType("test")
proto = jsClass.SymbolPrototype("test")
proto.setPrototype("test")
proto.setDescription("")
param = jsClass.SymbolParam("test")
param.setPath("")
param.setDescription("")
param.setPrototype("test")
proto.appendParameters(param)
proto.appendParameters(param)
sym.appendPrototypes(proto)
sym.appendPrototypes(proto)
sym.appendSymbols("test")
with self.assertRaises(OSError) as cm:
capturedOutput = io.StringIO() # setup an io
sys.stdout = capturedOutput # redirect stdout
client = aiClient.AIClient(aiClient.APP_KEY, aiClient.APP_ID, aiClient.SEC)
client.GetToken()
client.PushSymbol(sym)
@patch('Parser.aiClient.AIClient.CheckIfRefresh')
def test_push_symbol_res_post_error(self,
mock_check_if_refresh):
sym = jsClass.SymbolUpdate("test")
sym.setLang("test2")
sym.setPath("test")
sym.setType("test")
proto = jsClass.SymbolPrototype("test")
proto.setPrototype("test")
proto.setDescription("")
param = jsClass.SymbolParam("test")
param.setPath("")
param.setDescription("")
param.setPrototype("test")
proto.appendParameters(param)
proto.appendParameters(param)
sym.appendPrototypes(proto)
sym.appendPrototypes(proto)
sym.appendSymbols("test")
with self.assertRaises(IOError) as cm:
capturedOutput = io.StringIO() # setup an io
sys.stdout = capturedOutput # redirect stdout
client = aiClient.AIClient(aiClient.APP_KEY, aiClient.APP_ID, aiClient.SEC)
client._token = "test"
client.PushSymbol(sym)
@patch('Parser.aiClient.AIClient.GetToken', return_value="test")
def test_optimize_no_token(self,
mock_get_token):
with self.assertRaises(OSError) as cm:
capturedOutput = io.StringIO() # setup an io
sys.stdout = capturedOutput # redirect stdout
client = aiClient.AIClient("what", "", "")
client.Optimize()
mock_get_token.assert_called()
@patch('Parser.aiClient.AIClient.CheckIfRefresh')
def test_optimizer_optimize_error_post(self,
mock_check_if_refresh):
with self.assertRaises(IOError) as cm:
capturedOutput = io.StringIO() # setup an io
sys.stdout = capturedOutput # redirect stdout
client = aiClient.AIClient(aiClient.APP_KEY, aiClient.APP_ID, aiClient.SEC)
client._token = "what"
client.Optimize()
@patch('requests.post', return_value=res2)
@patch('Parser.aiClient.AIClient.CheckIfRefresh')
def test_optimize_optimize_error_patch(self,
mock_check_if_refresh,
req_post):
with self.assertRaises(IOError) as cm:
capturedOutput = io.StringIO() # setup an io
sys.stdout = capturedOutput # redirect stdout
client = aiClient.AIClient("what", "", "")
client._token = "what"
client.Optimize()
req_post.assert_called()
| 38.025157 | 87 | 0.604367 | 592 | 6,046 | 6.027027 | 0.143581 | 0.080717 | 0.061659 | 0.044843 | 0.83324 | 0.782791 | 0.744114 | 0.693105 | 0.693105 | 0.693105 | 0 | 0.005376 | 0.292425 | 6,046 | 158 | 88 | 38.265823 | 0.828658 | 0.036884 | 0 | 0.760563 | 0 | 0 | 0.067172 | 0.031519 | 0 | 0 | 0 | 0 | 0.077465 | 1 | 0.070423 | false | 0 | 0.056338 | 0 | 0.147887 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
a77055d8be5be00ff4e8a917cca6e681ebf5b2b5 | 135 | py | Python | game/libs/IA/bot.py | Gnukos/codingGame | 867e856c934731cf5bfb20919c4a4d0af20a3116 | [
"MIT"
] | null | null | null | game/libs/IA/bot.py | Gnukos/codingGame | 867e856c934731cf5bfb20919c4a4d0af20a3116 | [
"MIT"
] | null | null | null | game/libs/IA/bot.py | Gnukos/codingGame | 867e856c934731cf5bfb20919c4a4d0af20a3116 | [
"MIT"
] | null | null | null |
class Bot(object):
def __init__(self):
pass
def Hello(self):
print('hello')
def NewBot():
return Bot()
| 11.25 | 23 | 0.540741 | 16 | 135 | 4.3125 | 0.6875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.325926 | 135 | 11 | 24 | 12.272727 | 0.758242 | 0 | 0 | 0 | 0 | 0 | 0.037313 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.428571 | false | 0.142857 | 0 | 0.142857 | 0.714286 | 0.142857 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 5 |
a78434add34512659970293572597ed3331d7830 | 477 | py | Python | tests.py | sammygrey/epileptic-trigger-test-beta | 019f3c3bc17a50871be754f97cbce38b2271b053 | [
"MIT"
] | null | null | null | tests.py | sammygrey/epileptic-trigger-test-beta | 019f3c3bc17a50871be754f97cbce38b2271b053 | [
"MIT"
] | null | null | null | tests.py | sammygrey/epileptic-trigger-test-beta | 019f3c3bc17a50871be754f97cbce38b2271b053 | [
"MIT"
] | null | null | null | from gif_test import frame_brightness_test
#---Test that flashing gifs are detected as flashing, non-flashing gifs are not---
assert frame_brightness_test('gifs/flashing2.gif') == True
print('----------break----------')
assert frame_brightness_test('gifs/flashing.gif') == True
print('----------break----------')
assert frame_brightness_test('gifs/animation.gif') == False
print('----------break----------')
assert frame_brightness_test('gifs/this nuts.gif') == True
| 23.85 | 82 | 0.666667 | 59 | 477 | 5.20339 | 0.389831 | 0.2443 | 0.309446 | 0.325733 | 0.521173 | 0.42671 | 0.42671 | 0.299674 | 0.299674 | 0 | 0 | 0.00232 | 0.096436 | 477 | 19 | 83 | 25.105263 | 0.709977 | 0.169811 | 0 | 0.375 | 0 | 0 | 0.372449 | 0.191327 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | true | 0 | 0.125 | 0 | 0.125 | 0.375 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
a78b16d3972c4a53ad5e3d74650d8cdc79f0fb81 | 122 | py | Python | ytsearch/search/admin.py | ch1nmay7898/Youtube_Search_API | 93b979a31bdfd76653afed10f224865e0e77808e | [
"MIT"
] | null | null | null | ytsearch/search/admin.py | ch1nmay7898/Youtube_Search_API | 93b979a31bdfd76653afed10f224865e0e77808e | [
"MIT"
] | null | null | null | ytsearch/search/admin.py | ch1nmay7898/Youtube_Search_API | 93b979a31bdfd76653afed10f224865e0e77808e | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import SavedVids
# Register your models here.
admin.site.register(SavedVids) | 30.5 | 32 | 0.827869 | 17 | 122 | 5.941176 | 0.647059 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.106557 | 122 | 4 | 33 | 30.5 | 0.926606 | 0.213115 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
a7a01549e71cb3783747c782525e3664901f06e6 | 5,624 | py | Python | home/migrations/0001_initial.py | pensivewebstudio/django-template-optimal | 3147e7152b805c0319e9d2483bb1295b622de8ba | [
"BSD-2-Clause"
] | null | null | null | home/migrations/0001_initial.py | pensivewebstudio/django-template-optimal | 3147e7152b805c0319e9d2483bb1295b622de8ba | [
"BSD-2-Clause"
] | null | null | null | home/migrations/0001_initial.py | pensivewebstudio/django-template-optimal | 3147e7152b805c0319e9d2483bb1295b622de8ba | [
"BSD-2-Clause"
] | null | null | null | # Generated by Django 2.2 on 2019-05-06 00:57
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='AboutHeader',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('about_header_title', models.CharField(max_length=255)),
('about_header_text', models.CharField(max_length=255)),
],
),
migrations.CreateModel(
name='AboutItem',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('about_Item_fav_class', models.CharField(max_length=255)),
('about_item_title', models.CharField(max_length=255)),
('about_item_text', models.CharField(max_length=255)),
],
),
migrations.CreateModel(
name='ContactCTA',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('contact_cta', models.CharField(max_length=255)),
],
),
migrations.CreateModel(
name='ContactHeader',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('contact_header_title', models.CharField(max_length=255)),
('contact_header_text', models.CharField(max_length=255)),
],
),
migrations.CreateModel(
name='CTA',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('cta_image_url', models.ImageField(upload_to='media/')),
('cta_title', models.CharField(max_length=255)),
('cta_text', models.CharField(max_length=255)),
],
),
migrations.CreateModel(
name='GalleryHeader',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('gallery_header_title', models.CharField(max_length=255)),
('gallery_header_text', models.CharField(max_length=255)),
],
),
migrations.CreateModel(
name='GalleryItem',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('gallery_item_image_url', models.ImageField(upload_to='media/')),
],
),
migrations.CreateModel(
name='NavLogo',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('nav_logo_fav_class', models.CharField(max_length=255, null=True)),
('nav_logo_text', models.CharField(max_length=255, null=True)),
],
),
migrations.CreateModel(
name='ServicesHeader',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('services_header_title', models.CharField(max_length=255)),
('services_header_text', models.CharField(max_length=255)),
],
),
migrations.CreateModel(
name='ServicesItem',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('services_Item_fav_class', models.CharField(max_length=255)),
('services_item_title', models.CharField(max_length=255)),
('services_item_text', models.CharField(max_length=255)),
],
),
migrations.CreateModel(
name='SiteHeader',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('site_header_image_url', models.ImageField(upload_to='media/')),
('site_header_title', models.CharField(max_length=255)),
('site_header_text', models.CharField(max_length=255)),
],
),
migrations.CreateModel(
name='SliderItem',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('slider_image_url', models.ImageField(upload_to='media/')),
],
),
migrations.CreateModel(
name='Testimonial',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('testimonial_image_url', models.ImageField(upload_to='media/')),
('testimonial_title', models.CharField(max_length=255)),
('testimonial_text', models.CharField(max_length=255)),
],
),
migrations.CreateModel(
name='TestimonialsHeader',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('testimonials_header_title', models.CharField(max_length=255)),
('testimonials_header_text', models.CharField(max_length=255)),
],
),
]
| 43.596899 | 114 | 0.565612 | 535 | 5,624 | 5.699065 | 0.134579 | 0.122991 | 0.147589 | 0.196786 | 0.849131 | 0.849131 | 0.826828 | 0.641522 | 0.598885 | 0.562152 | 0 | 0.0226 | 0.299787 | 5,624 | 128 | 115 | 43.9375 | 0.751651 | 0.007646 | 0 | 0.578512 | 1 | 0 | 0.138018 | 0.028141 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.008264 | 0 | 0.041322 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
a7d579a16f44ee780bb49f4ba8f10410864f40e5 | 92 | py | Python | setup.py | istayping/pyhton1 | 6d954e5c59672e35b400a08134d1fec4cdd8806f | [
"MIT"
] | 23 | 2015-01-26T06:05:09.000Z | 2019-03-08T09:33:57.000Z | setup.py | istayping/pyhton1 | 6d954e5c59672e35b400a08134d1fec4cdd8806f | [
"MIT"
] | 1 | 2015-11-10T02:11:22.000Z | 2015-11-13T05:52:51.000Z | setup.py | istayping/pyhton1 | 6d954e5c59672e35b400a08134d1fec4cdd8806f | [
"MIT"
] | 17 | 2015-01-23T11:26:13.000Z | 2020-08-05T14:01:10.000Z | # setup.py
from distutils.core import setup
import py2exe
setup(console=["webqq.py"]) | 18.4 | 32 | 0.717391 | 13 | 92 | 5.076923 | 0.692308 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012987 | 0.163043 | 92 | 5 | 33 | 18.4 | 0.844156 | 0.086957 | 0 | 0 | 0 | 0 | 0.096386 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
38f53ef47c76173a29889f6631c85cb946ade3e8 | 4,023 | py | Python | tests/001_utils/06_create_image_file.py | emencia/cmsplugin-blocks | 7ec99afd542948aef5d9069bd001729f5c14bded | [
"MIT"
] | 1 | 2019-04-14T01:30:37.000Z | 2019-04-14T01:30:37.000Z | tests/001_utils/06_create_image_file.py | emencia/cmsplugin-blocks | 7ec99afd542948aef5d9069bd001729f5c14bded | [
"MIT"
] | 16 | 2018-02-19T11:13:15.000Z | 2022-02-05T00:10:41.000Z | tests/001_utils/06_create_image_file.py | emencia/cmsplugin-blocks | 7ec99afd542948aef5d9069bd001729f5c14bded | [
"MIT"
] | null | null | null | import io
import os
from PIL import Image
import pytest
from django.core.files.storage import get_storage_class
from cmsplugin_blocks.utils.factories import create_image_file
def test_create_image_file_basic(caplog, testsettings):
"""
Basic usage without arguments should succeed with a created file as
expected from default argument values.
"""
storage = get_storage_class()()
image = create_image_file()
destination = os.path.join("pil", image.name)
assert image.name == "blue.png"
storage.save(destination, image)
saved = storage.path(destination)
assert os.path.exists(saved) == True
try:
with Image.open(saved) as im:
# Since image are just single plain color we can pick any pixel to
# verify expected color
pixel_sample = im.getpixel((10, 10))
assert im.format == "PNG"
assert im.size == (100, 100)
assert pixel_sample == (0, 0, 255, 255)
except IOError:
print("Cannot open image file with PIL:", saved)
raise
def test_create_image_file_args(caplog, testsettings):
"""
Should succeed with a created file as expected from given arguments.
"""
storage = get_storage_class()()
image = create_image_file(
filename="foo.red",
size=(200, 200),
color="red",
format_name="PNG"
)
destination = os.path.join("pil", image.name)
assert image.name == "foo.red"
storage.save(destination, image)
saved = storage.path(destination)
assert os.path.exists(saved) == True
try:
with Image.open(saved) as im:
# Since image are just single plain color we can pick any pixel to
# verify expected color
pixel_sample = im.getpixel((10, 10))
assert im.format == "PNG"
assert im.size == (200, 200)
assert pixel_sample == (255, 0, 0, 255)
except IOError:
print("Cannot open image file with PIL:", saved)
raise
def test_create_image_file_jpg(caplog, testsettings):
"""
Created image should be in the required format from argument.
"""
storage = get_storage_class()()
image = create_image_file(
format_name="JPEG"
)
destination = os.path.join("pil", image.name)
assert image.name == "blue.jpg"
storage.save(destination, image)
saved = storage.path(destination)
assert os.path.exists(saved) == True
try:
with Image.open(saved) as im:
assert im.format == "JPEG"
except IOError:
print("Cannot open image file with PIL:", saved)
raise
def test_create_image_file_gif(caplog, testsettings):
"""
Created image should be in the required format from argument.
"""
storage = get_storage_class()()
image = create_image_file(
format_name="GIF"
)
destination = os.path.join("pil", image.name)
assert image.name == "blue.gif"
storage.save(destination, image)
saved = storage.path(destination)
assert os.path.exists(saved) == True
try:
with Image.open(saved) as im:
assert im.format == "GIF"
except IOError:
print("Cannot open image file with PIL:", saved)
raise
def test_create_image_file_svg(caplog, testsettings):
"""
SVG format should create a dummy SVG file.
"""
storage = get_storage_class()()
image = create_image_file(
format_name="SVG",
color="green",
size=(150, 80),
)
destination = os.path.join("pil", image.name)
assert image.name == "green.svg"
storage.save(destination, image)
saved = storage.path(destination)
assert os.path.exists(saved) == True
with io.open(saved) as fp:
content = fp.read()
expected = (
"""<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 150 80">"""
"""<path fill="green" d="M0 0h150v80H0z"/>"""
"""</svg>"""
)
assert content == expected
| 24.23494 | 78 | 0.618941 | 507 | 4,023 | 4.806706 | 0.21499 | 0.055396 | 0.067706 | 0.036931 | 0.751334 | 0.742306 | 0.742306 | 0.742306 | 0.707838 | 0.672548 | 0 | 0.022781 | 0.268954 | 4,023 | 165 | 79 | 24.381818 | 0.805848 | 0.128511 | 0 | 0.56383 | 0 | 0 | 0.067899 | 0 | 0 | 0 | 0 | 0 | 0.202128 | 1 | 0.053191 | false | 0 | 0.06383 | 0 | 0.117021 | 0.042553 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
ac403b78492a249ec61b450216a03008859d5d09 | 352 | py | Python | npbench/infrastructure/__init__.py | frahlg/npbench | 1bc4d9e2e22f3ca67fa2bc7f40e2e751a9c8dd26 | [
"BSD-3-Clause"
] | 27 | 2021-05-10T11:49:13.000Z | 2022-03-22T18:07:19.000Z | npbench/infrastructure/__init__.py | frahlg/npbench | 1bc4d9e2e22f3ca67fa2bc7f40e2e751a9c8dd26 | [
"BSD-3-Clause"
] | 3 | 2021-12-01T13:03:17.000Z | 2022-03-17T10:53:00.000Z | npbench/infrastructure/__init__.py | frahlg/npbench | 1bc4d9e2e22f3ca67fa2bc7f40e2e751a9c8dd26 | [
"BSD-3-Clause"
] | 7 | 2021-06-24T03:40:25.000Z | 2022-01-26T09:04:33.000Z | # Copyright 2021 ETH Zurich and the NPBench authors. All rights reserved.
from .benchmark import *
from .framework import *
from .line_count import *
from .test import *
from .utilities import *
from .cupy_framework import *
from .dace_framework import *
from .legate_framework import *
from .numba_framework import *
from .pythran_framework import *
| 27.076923 | 73 | 0.784091 | 47 | 352 | 5.744681 | 0.510638 | 0.333333 | 0.351852 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013378 | 0.150568 | 352 | 12 | 74 | 29.333333 | 0.889632 | 0.201705 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
ac4058462f36e3fd521ee5928f36f6f053c3791d | 110 | py | Python | portfolio/admin.py | ZanderSparrow/portfolio | 74681bcbd632b9705cbfcfb1869b609333c3df12 | [
"MIT"
] | null | null | null | portfolio/admin.py | ZanderSparrow/portfolio | 74681bcbd632b9705cbfcfb1869b609333c3df12 | [
"MIT"
] | null | null | null | portfolio/admin.py | ZanderSparrow/portfolio | 74681bcbd632b9705cbfcfb1869b609333c3df12 | [
"MIT"
] | 1 | 2018-12-10T13:50:45.000Z | 2018-12-10T13:50:45.000Z | from django.contrib import admin
from .models import Project
# Register models
admin.site.register(Project)
| 18.333333 | 32 | 0.809091 | 15 | 110 | 5.933333 | 0.6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.127273 | 110 | 5 | 33 | 22 | 0.927083 | 0.136364 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
ac524910facfa47a3c451666cf55f9dfdb90230d | 208 | py | Python | dawg_python/__init__.py | Hussainulabideen/DAWG-Python | e56241ec919b78735ff79014bf18d7fd1f8e08b9 | [
"MIT"
] | 30 | 2016-07-08T16:44:46.000Z | 2022-03-21T08:32:17.000Z | dawg_python/__init__.py | Hussainulabideen/DAWG-Python | e56241ec919b78735ff79014bf18d7fd1f8e08b9 | [
"MIT"
] | 3 | 2016-09-18T21:24:35.000Z | 2021-11-22T19:40:16.000Z | dawg_python/__init__.py | Hussainulabideen/DAWG-Python | e56241ec919b78735ff79014bf18d7fd1f8e08b9 | [
"MIT"
] | 8 | 2016-10-17T20:02:01.000Z | 2022-02-01T12:21:15.000Z | # -*- coding: utf-8 -*-
from __future__ import absolute_import
from .wrapper import Dictionary
from .dawgs import (DAWG, CompletionDAWG, BytesDAWG, RecordDAWG,
IntDAWG, IntCompletionDAWG)
| 34.666667 | 64 | 0.711538 | 21 | 208 | 6.809524 | 0.761905 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006024 | 0.201923 | 208 | 5 | 65 | 41.6 | 0.855422 | 0.100962 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.75 | 0 | 0.75 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
ac5d3ceeb61d88b7b49da89df283c676e5796015 | 778 | py | Python | asyncy/processing/mutations/DictMutations.py | zeebonk/platform-engine | c82feecad7a7e3786ed69e02bbeef712182a27ae | [
"Apache-2.0"
] | null | null | null | asyncy/processing/mutations/DictMutations.py | zeebonk/platform-engine | c82feecad7a7e3786ed69e02bbeef712182a27ae | [
"Apache-2.0"
] | null | null | null | asyncy/processing/mutations/DictMutations.py | zeebonk/platform-engine | c82feecad7a7e3786ed69e02bbeef712182a27ae | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
class DictMutations:
@classmethod
def size(cls, mutation, value, story, line, operator, operand):
return len(value)
@classmethod
def keys(cls, mutation, value, story, line, operator, operand):
return list(value.keys())
@classmethod
def values(cls, mutation, value, story, line, operator, operand):
return list(value.values())
@classmethod
def pop(cls, mutation, value, story, line, operator, operand):
return value.pop(operand, None)
@classmethod
def get(cls, mutation, value, story, line, operator, operand):
return value.get(operand)
@classmethod
def has(cls, mutation, value, story, line, operator, operand):
return value.get(operand) is not None
| 26.827586 | 69 | 0.6491 | 92 | 778 | 5.48913 | 0.282609 | 0.166337 | 0.190099 | 0.249505 | 0.651485 | 0.651485 | 0.651485 | 0.651485 | 0.560396 | 0.459406 | 0 | 0.001675 | 0.232648 | 778 | 28 | 70 | 27.785714 | 0.844221 | 0.026992 | 0 | 0.315789 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.315789 | false | 0 | 0 | 0.315789 | 0.684211 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 5 |
ac6b5dbcd2204ae4c43836ba1ae0ab6a31024ac7 | 1,128 | py | Python | layerserver/migrations/0017_auto_20190305_1011.py | aroiginfraplan/giscube-admin | b7f3131b0186f847f3902df97f982cb288b16a49 | [
"BSD-3-Clause"
] | 5 | 2018-06-07T12:54:35.000Z | 2022-01-14T10:38:38.000Z | layerserver/migrations/0017_auto_20190305_1011.py | aroiginfraplan/giscube-admin | b7f3131b0186f847f3902df97f982cb288b16a49 | [
"BSD-3-Clause"
] | 140 | 2018-06-18T10:27:28.000Z | 2022-03-23T09:53:15.000Z | layerserver/migrations/0017_auto_20190305_1011.py | aroiginfraplan/giscube-admin | b7f3131b0186f847f3902df97f982cb288b16a49 | [
"BSD-3-Clause"
] | 1 | 2021-04-13T11:20:54.000Z | 2021-04-13T11:20:54.000Z | # Generated by Django 2.1.7 on 2019-03-05 10:11
import colorfield.fields
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('layerserver', '0016_auto_20190218_0848'),
]
operations = [
migrations.AlterField(
model_name='databaselayer',
name='fill_color',
field=colorfield.fields.ColorField(blank=True, default='#FFC300', max_length=18, null=True),
),
migrations.AlterField(
model_name='databaselayer',
name='stroke_color',
field=colorfield.fields.ColorField(blank=True, default='#FF3333', max_length=18, null=True),
),
migrations.AlterField(
model_name='geojsonlayer',
name='fill_color',
field=colorfield.fields.ColorField(blank=True, default='#FFC300', max_length=18, null=True),
),
migrations.AlterField(
model_name='geojsonlayer',
name='stroke_color',
field=colorfield.fields.ColorField(blank=True, default='#FF3333', max_length=18, null=True),
),
]
| 32.228571 | 104 | 0.616135 | 115 | 1,128 | 5.913043 | 0.391304 | 0.117647 | 0.147059 | 0.170588 | 0.75 | 0.75 | 0.669118 | 0.669118 | 0.669118 | 0.669118 | 0 | 0.063625 | 0.261525 | 1,128 | 34 | 105 | 33.176471 | 0.752701 | 0.039894 | 0 | 0.714286 | 1 | 0 | 0.144311 | 0.021277 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.071429 | 0 | 0.178571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
3bde0e68befc19859afb27bfc6dfb9b38b8660c5 | 105 | py | Python | wrongCommand.py | YichengZhong/FlaskRedis | 4dce0f9204ca4954da067576264fb0e918ac9866 | [
"BSD-3-Clause"
] | null | null | null | wrongCommand.py | YichengZhong/FlaskRedis | 4dce0f9204ca4954da067576264fb0e918ac9866 | [
"BSD-3-Clause"
] | null | null | null | wrongCommand.py | YichengZhong/FlaskRedis | 4dce0f9204ca4954da067576264fb0e918ac9866 | [
"BSD-3-Clause"
] | null | null | null | def wrong_func(command,redisConnect):
'''
执行命令不在范围之内
:return:
'''
print('wrong_func') | 17.5 | 37 | 0.6 | 10 | 105 | 6.1 | 0.8 | 0.295082 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.247619 | 105 | 6 | 38 | 17.5 | 0.772152 | 0.180952 | 0 | 0 | 0 | 0 | 0.149254 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | false | 0 | 0 | 0 | 0.5 | 0.5 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 |
3bdffd919e39cc51d153e7cf77c7f39b050f63de | 241 | py | Python | petra_camera/widgets/image_view.py | yamedvedya/camera_viewer | 9e4d213f1ffc5a32517f4cd4f67e7563819ea480 | [
"MIT"
] | null | null | null | petra_camera/widgets/image_view.py | yamedvedya/camera_viewer | 9e4d213f1ffc5a32517f4cd4f67e7563819ea480 | [
"MIT"
] | null | null | null | petra_camera/widgets/image_view.py | yamedvedya/camera_viewer | 9e4d213f1ffc5a32517f4cd4f67e7563819ea480 | [
"MIT"
] | null | null | null | # Created by matveyev at 13.11.2020
from pyqtgraph import ImageView
# ----------------------------------------------------------------------
class ImageViewNoKeyboard(ImageView):
"""
"""
def keyPressEvent(self, ev):
pass | 26.777778 | 72 | 0.473029 | 19 | 241 | 6 | 0.947368 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.039801 | 0.165975 | 241 | 9 | 73 | 26.777778 | 0.527363 | 0.431535 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0.25 | 0.25 | 0 | 0.75 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 |
3be6005ce9c2a8007f872a3b022108359d753edd | 109 | py | Python | Python/Collection/RandomUniform.py | piovezan/SOpt | a5ec90796b7bdf98f0675457fc4bb99c8695bc40 | [
"MIT"
] | 148 | 2017-08-03T01:49:27.000Z | 2022-03-26T10:39:30.000Z | Python/Collection/RandomUniform.py | piovezan/SOpt | a5ec90796b7bdf98f0675457fc4bb99c8695bc40 | [
"MIT"
] | 3 | 2017-11-23T19:52:05.000Z | 2020-04-01T00:44:40.000Z | Python/Collection/RandomUniform.py | piovezan/SOpt | a5ec90796b7bdf98f0675457fc4bb99c8695bc40 | [
"MIT"
] | 59 | 2017-08-03T01:49:19.000Z | 2022-03-31T23:24:38.000Z | import random
print([random.uniform(-1, 1) for _ in range(20)])
#https://pt.stackoverflow.com/q/345368/101
| 18.166667 | 49 | 0.715596 | 18 | 109 | 4.277778 | 0.888889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.132653 | 0.100917 | 109 | 5 | 50 | 21.8 | 0.653061 | 0.376147 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0.5 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 5 |
3beb7cd9714d0d593664ce3fb991ae52ae2e0418 | 2,894 | py | Python | bot_plugins/Draw/sdorica/__init__.py | Twip-Emma/QQbot-Twip | 16e2a248037e200e518af732df9ad865bf32f566 | [
"MIT"
] | 2 | 2021-06-24T09:07:52.000Z | 2021-12-23T15:36:48.000Z | bot_plugins/Draw/sdorica/__init__.py | Twip-Emma/QQbot-Twip | 16e2a248037e200e518af732df9ad865bf32f566 | [
"MIT"
] | 3 | 2021-06-24T02:38:21.000Z | 2022-02-09T04:54:04.000Z | bot_plugins/Draw/sdorica/__init__.py | Twip-Emma/QQbot-Twip | 16e2a248037e200e518af732df9ad865bf32f566 | [
"MIT"
] | 1 | 2021-06-30T14:44:41.000Z | 2021-06-30T14:44:41.000Z | '''
Author: 七画一只妖
Date: 2021-09-09 09:32:53
LastEditors: 七画一只妖
LastEditTime: 2021-09-29 14:16:04
Description: file content
'''
import time
from bot_config import GROUP_USE, ban_suer_id # 从config导入授权群列表
from nonebot import (CommandSession, IntentCommand, NLPSession, get_bot, log,
on_command, on_natural_language)
from nonebot import permission as perm
from nonebot.permission import *
from .image_final import *
from .database import *
FILE_PATH = os.path.dirname(__file__)
IMAGE_PATH = f"{FILE_PATH}\\png_paste.png"
@on_command('sdorica_gacha_1.0', aliases=('-万象十连'), permission=GROUP, only_to_me=False)
async def gacha_(session: CommandSession):
session.finish("该指令已失效，请发送其他抽卡指令：起源十连，盛夏十连，限定十连，首发十连")
t1 = time.time()
gid = str(session.event.group_id)
userid = str(session.event.user_id)
if gid not in GROUP_USE or userid in ban_suer_id:
session.finish()
cq = start(userid)
await session.send(message=f"{cq}", at_sender=userid)
t2 = time.time()
print("init总耗时：",t2-t1)
@on_command('sdorica_gacha_1.1', aliases=('-起源十连'), permission=GROUP, only_to_me=False)
async def gacha_(session: CommandSession):
t1 = time.time()
gid = str(session.event.group_id)
userid = str(session.event.user_id)
if gid not in GROUP_USE or userid in ban_suer_id:
session.finish()
cq = start(userid,"起源十连")
await session.send(cq)
t2 = time.time()
print("init总耗时：",t2-t1)
@on_command('sdorica_gacha_1.2', aliases=('-盛夏十连'), permission=GROUP, only_to_me=False)
async def gacha_(session: CommandSession):
t1 = time.time()
gid = str(session.event.group_id)
userid = str(session.event.user_id)
if gid not in GROUP_USE or userid in ban_suer_id:
session.finish()
cq = start(userid,"盛夏十连")
await session.send(message=f"{cq}", at_sender=userid)
t2 = time.time()
print("init总耗时：",t2-t1)
@on_command('sdorica_gacha_1.3', aliases=('-限定十连'), permission=GROUP, only_to_me=False)
async def gacha_(session: CommandSession):
t1 = time.time()
gid = str(session.event.group_id)
userid = str(session.event.user_id)
if gid not in GROUP_USE or userid in ban_suer_id:
session.finish()
cq = start(userid,"限定十连")
await session.send(message=f"{cq}", at_sender=userid)
t2 = time.time()
print("init总耗时：",t2-t1)
@on_command('sdorica_gacha_1.4', aliases=('-首发十连'), permission=GROUP, only_to_me=False)
async def gacha_(session: CommandSession):
t1 = time.time()
gid = str(session.event.group_id)
userid = str(session.event.user_id)
if gid not in GROUP_USE or userid in ban_suer_id:
session.finish()
cq = start(userid,"首发十连")
await session.send(message=f"{cq}", at_sender=userid)
t2 = time.time()
print("init总耗时：",t2-t1)
| 32.155556 | 88 | 0.671389 | 420 | 2,894 | 4.445238 | 0.219048 | 0.042849 | 0.080343 | 0.05624 | 0.715051 | 0.703267 | 0.703267 | 0.703267 | 0.703267 | 0.703267 | 0 | 0.024989 | 0.197996 | 2,894 | 89 | 89 | 32.516854 | 0.779405 | 0.046303 | 0 | 0.666667 | 0 | 0 | 0.091695 | 0.0233 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.106061 | 0 | 0.106061 | 0.075758 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
ce150790b050177b843fd629f67e8b3598c400c1 | 134 | py | Python | user/admin.py | Time-xg/bookmanager_django | 3d8f2e9b38570e0e4ea5498f6ab4fe16b7d2f969 | [
"MIT"
] | null | null | null | user/admin.py | Time-xg/bookmanager_django | 3d8f2e9b38570e0e4ea5498f6ab4fe16b7d2f969 | [
"MIT"
] | null | null | null | user/admin.py | Time-xg/bookmanager_django | 3d8f2e9b38570e0e4ea5498f6ab4fe16b7d2f969 | [
"MIT"
] | null | null | null | from django.contrib import admin
# Register your models here.
# 注册模型
from user.models import UserInfo
admin.site.register(UserInfo)
| 16.75 | 32 | 0.798507 | 19 | 134 | 5.631579 | 0.684211 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.134328 | 134 | 7 | 33 | 19.142857 | 0.922414 | 0.231343 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
ce24abc321b698a643858515349c0d23795e2250 | 2,284 | py | Python | parser/fase2/team20/execution/executeDrop.py | Gabriel-15/tytus | fb00718bf3fcc5211a3604fba1a551f44bdc6deb | [
"MIT"
] | 35 | 2020-12-07T03:11:43.000Z | 2021-04-15T17:38:16.000Z | parser/fase2/team20/execution/executeDrop.py | Gabriel-15/tytus | fb00718bf3fcc5211a3604fba1a551f44bdc6deb | [
"MIT"
] | 47 | 2020-12-09T01:29:09.000Z | 2021-01-13T05:37:50.000Z | parser/fase2/team20/execution/executeDrop.py | Gabriel-15/tytus | fb00718bf3fcc5211a3604fba1a551f44bdc6deb | [
"MIT"
] | 556 | 2020-12-07T03:13:31.000Z | 2021-06-17T17:41:10.000Z | from .storageManager import jsonMode
from .storageManager.TypeChecker import TCcreateDatabase,TCSearchDatabase,TCdropDatabase,TCgetDatabase,TCDropIndex
from .AST.error import *
def executeDropDatabase(self,database):
if(database.ifExistsFlag):
res=TCSearchDatabase(database.name)
if res==1:
return jsonMode.dropDatabase(database.name)
elif res==2:
return jsonMode.dropDatabase(database.name)
elif res==3:
return jsonMode.dropDatabase(database.name)
elif res==4:
return jsonMode.dropDatabase(database.name)
elif res==8:
return jsonMode.dropDatabase(database.name)
else:
print_error("SEMANTIC ERROR","Mode between 1-5",2)
else:
res=TCSearchDatabase(database.name)
if res==1:
return jsonMode.dropDatabase(database.name)
elif res==2:
return jsonMode.dropDatabase(database.name)
elif res==3:
return jsonMode.dropDatabase(database.name)
elif res==4:
return jsonMode.dropDatabase(database.name)
elif res==8:
return jsonMode.dropDatabase(database.name)
else:
print_error("SEMANTIC ERROR","Mode between 1-5",2)
def executeDropTable(self,table):
database=TCgetDatabase()
res=TCSearchDatabase(database)
if res==1:
return jsonMode.dropTable(database,table.name)
elif res==2:
return jsonMode.dropTable(database,table.name)
elif res==3:
return jsonMode.dropTable(database,table.name)
elif res==4:
return jsonMode.dropTable(database,table.name)
elif res==8:
return jsonMode.dropTable(database,table.name)
else:
print_error("SEMANTIC ERROR","Mode between 1-5",2)
def executeDropIndex(self,index):
database=TCgetDatabase()
res=TCSearchDatabase(database)
if res==1:
return TCDropIndex(database,index.name)
elif res==2:
return TCDropIndex(database,index.name)
elif res==3:
return TCDropIndex(database,index.name)
elif res==4:
return TCDropIndex(database,index.name)
elif res==8:
return TCDropIndex(database,index.name)
else:
print_error("SEMANTIC ERROR","Mode between 1-5",2) | 35.138462 | 114 | 0.656305 | 256 | 2,284 | 5.839844 | 0.152344 | 0.085619 | 0.117726 | 0.227425 | 0.822742 | 0.8 | 0.773244 | 0.667559 | 0.545819 | 0.465552 | 0 | 0.018486 | 0.242119 | 2,284 | 65 | 115 | 35.138462 | 0.845176 | 0 | 0 | 0.887097 | 0 | 0 | 0.052516 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.048387 | false | 0 | 0.048387 | 0 | 0.419355 | 0.064516 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
ce2ed2093f0be30a7bf48c77a3e5840a86905180 | 273 | py | Python | parser/team29/analizer/typechecker/Metadata/File.py | jorasofra/tytus | a4943af1c7d3c268edd5c8c1df82561419e2a37e | [
"MIT"
] | null | null | null | parser/team29/analizer/typechecker/Metadata/File.py | jorasofra/tytus | a4943af1c7d3c268edd5c8c1df82561419e2a37e | [
"MIT"
] | null | null | null | parser/team29/analizer/typechecker/Metadata/File.py | jorasofra/tytus | a4943af1c7d3c268edd5c8c1df82561419e2a37e | [
"MIT"
] | null | null | null | import json
def exportFile(Databases):
with open("Databases.json", "w") as file:
json.dump(Databases, file)
print("Export")
def importFile():
with open("Databases.json", "r") as file:
databases = json.load(file)
return databases
| 19.5 | 45 | 0.619048 | 33 | 273 | 5.121212 | 0.515152 | 0.230769 | 0.201183 | 0.248521 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.249084 | 273 | 13 | 46 | 21 | 0.82439 | 0 | 0 | 0 | 0 | 0 | 0.131868 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0 | 0.222222 | 0 | 0.555556 | 0.111111 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 |
024ee2ca64cb99b442919b3e812cc7d89b33c0a7 | 53 | py | Python | sat/attacks/manipulate/__init__.py | larsksy/Semantic-Adversarial-Toolbox | f5a79e3aa5dc15d7f2fd677ea64f41dd3a1e9cd8 | [
"MIT"
] | null | null | null | sat/attacks/manipulate/__init__.py | larsksy/Semantic-Adversarial-Toolbox | f5a79e3aa5dc15d7f2fd677ea64f41dd3a1e9cd8 | [
"MIT"
] | null | null | null | sat/attacks/manipulate/__init__.py | larsksy/Semantic-Adversarial-Toolbox | f5a79e3aa5dc15d7f2fd677ea64f41dd3a1e9cd8 | [
"MIT"
] | 1 | 2021-09-30T07:48:47.000Z | 2021-09-30T07:48:47.000Z | from sat.attacks.manipulate.edgefool import EdgeFool
| 26.5 | 52 | 0.867925 | 7 | 53 | 6.571429 | 0.857143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.075472 | 53 | 1 | 53 | 53 | 0.938776 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
024f444135f1fa52bb4e50e1d5539201b771d11a | 3,806 | py | Python | tests/test_message.py | sebmaster36/bobbit | 7c9106a5c1d30f6ea64dc4ada2458f626f94b047 | [
"MIT"
] | 10 | 2020-05-20T20:28:01.000Z | 2022-02-15T06:08:17.000Z | tests/test_message.py | sebmaster36/bobbit | 7c9106a5c1d30f6ea64dc4ada2458f626f94b047 | [
"MIT"
] | 28 | 2020-05-20T20:39:32.000Z | 2021-12-31T16:37:05.000Z | tests/test_message.py | sebmaster36/bobbit | 7c9106a5c1d30f6ea64dc4ada2458f626f94b047 | [
"MIT"
] | 19 | 2020-05-27T23:47:11.000Z | 2022-03-04T04:11:12.000Z | ''' Test message module '''
import os
import sys
import unittest
from unittest import mock
sys.path.insert(0, 'src')
from bobbit.history import History
from bobbit.message import Message
from bobbit.bot import Bobbit
from bobbit.message import Message
# Test Cases
class MessageTestCase(unittest.IsolatedAsyncioTestCase):
def test_init_no_timestamp(self):
TEST_DEFAULT_TIME = 1111
with mock.patch('time.time', mock.MagicMock(return_value=TEST_DEFAULT_TIME)):
msg = Message("hi")
self.assertEqual(msg.timestamp, TEST_DEFAULT_TIME)
def test_init_timestamp(self):
TEST_TIMESTAMP = 1234
msg = Message("hi", timestamp = TEST_TIMESTAMP)
self.assertEqual(msg.timestamp, TEST_TIMESTAMP)
def test_copy_defaults(self):
test_msg = Message("hi", nick="woof", channel="foo", notice=True)
copied_msg = test_msg.copy()
self.assertNotEqual(id(test_msg), id(copied_msg))
self.assertEqual(test_msg.body, copied_msg.body)
self.assertEqual(test_msg.nick, copied_msg.nick)
self.assertEqual(test_msg.channel, copied_msg.channel)
self.assertEqual(test_msg.notice, copied_msg.notice)
self.assertEqual(test_msg.highlighted, copied_msg.highlighted)
self.assertEqual(test_msg.timestamp, copied_msg.timestamp)
def test_copy(self):
test_msg = Message("hi", nick="woof", channel="foo", notice=True)
copied_msg = test_msg.copy(body="hello", channel="fu", notice=False)
self.assertNotEqual(id(test_msg), id(copied_msg))
self.assertNotEqual(test_msg.body, copied_msg.body)
self.assertEqual(test_msg.nick, copied_msg.nick)
self.assertNotEqual(test_msg.channel, copied_msg.channel)
self.assertNotEqual(test_msg.notice, copied_msg.notice)
self.assertEqual(test_msg.highlighted, copied_msg.highlighted)
self.assertEqual(test_msg.timestamp, copied_msg.timestamp)
def test_with_body(self):
test_msg = Message("hi", nick="woof", channel="foo", notice=True, highlighted=True)
copied_msg = test_msg.with_body("hello")
self.assertNotEqual(id(test_msg), id(copied_msg))
self.assertNotEqual(test_msg.body, copied_msg.body)
self.assertEqual(test_msg.nick, copied_msg.nick)
self.assertEqual(test_msg.channel, copied_msg.channel)
self.assertEqual(test_msg.notice, copied_msg.notice)
self.assertEqual(test_msg.highlighted, copied_msg.highlighted)
self.assertEqual(test_msg.timestamp, copied_msg.timestamp)
def test_with_highlight_default(self):
test_msg = Message("hi", nick="woof", channel="foo")
copied_msg = test_msg.with_highlight()
self.assertNotEqual(id(test_msg), id(copied_msg))
self.assertEqual(test_msg.body, copied_msg.body)
self.assertEqual(test_msg.nick, copied_msg.nick)
self.assertEqual(test_msg.channel, copied_msg.channel)
self.assertEqual(test_msg.notice, copied_msg.notice)
self.assertTrue(copied_msg.highlighted)
self.assertEqual(test_msg.timestamp, copied_msg.timestamp)
def test_with_highlight_false(self):
test_msg = Message("hi", nick="woof", channel="foo", highlighted=True)
copied_msg = test_msg.with_highlight(highlighted=False)
self.assertNotEqual(id(test_msg), id(copied_msg))
self.assertEqual(test_msg.body, copied_msg.body)
self.assertEqual(test_msg.nick, copied_msg.nick)
self.assertEqual(test_msg.channel, copied_msg.channel)
self.assertEqual(test_msg.notice, copied_msg.notice)
self.assertFalse(copied_msg.highlighted)
self.assertEqual(test_msg.timestamp, copied_msg.timestamp)
if __name__ == '__main__':
unittest.main()
| 37.313725 | 91 | 0.709932 | 488 | 3,806 | 5.290984 | 0.120902 | 0.116576 | 0.176607 | 0.204493 | 0.780015 | 0.732765 | 0.718048 | 0.677769 | 0.677769 | 0.648335 | 0 | 0.002892 | 0.182344 | 3,806 | 101 | 92 | 37.683168 | 0.826799 | 0.008408 | 0 | 0.492958 | 0 | 0 | 0.021503 | 0 | 0 | 0 | 0 | 0 | 0.521127 | 1 | 0.098592 | false | 0 | 0.112676 | 0 | 0.225352 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
02788ae4de59865545770ebcc39a28253cf5a464 | 202 | py | Python | dacy/__init__.py | HLasse/DaCy | 67ca82f3c1637193b140ecea7a683cd5d4c6749e | [
"Apache-2.0"
] | null | null | null | dacy/__init__.py | HLasse/DaCy | 67ca82f3c1637193b140ecea7a683cd5d4c6749e | [
"Apache-2.0"
] | null | null | null | dacy/__init__.py | HLasse/DaCy | 67ca82f3c1637193b140ecea7a683cd5d4c6749e | [
"Apache-2.0"
] | null | null | null | from .download import download_model
from .load import load, where_is_my_dacy, models
from .about import __version__
from dacy import sentiment
from dacy import subclasses
from dacy import readability
| 25.25 | 48 | 0.841584 | 30 | 202 | 5.4 | 0.5 | 0.148148 | 0.259259 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.133663 | 202 | 7 | 49 | 28.857143 | 0.925714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
65fa46bc228364025d794d7ad2390ada96f2d474 | 18,424 | py | Python | exowirc/plot_utils.py | mgreklek/exowirc | a0e556653d0b28ce74d6113fca1b002eca8c28bd | [
"MIT"
] | null | null | null | exowirc/plot_utils.py | mgreklek/exowirc | a0e556653d0b28ce74d6113fca1b002eca8c28bd | [
"MIT"
] | null | null | null | exowirc/plot_utils.py | mgreklek/exowirc | a0e556653d0b28ce74d6113fca1b002eca8c28bd | [
"MIT"
] | null | null | null | import numpy as np
import lightkurve as lk
import pymc3 as pm
import arviz as az
import matplotlib.pyplot as plt
import photutils
import corner
import matplotlib
def plot_sources(img_dir, image, sources, fwhm, ann_rads):
positions = [(x, y) for x, y in zip(
sources['xcentroid'], sources['ycentroid'])]
apertures = photutils.CircularAperture(positions, r = fwhm/2)
annuli = photutils.CircularAnnulus(
positions, r_in = ann_rads[0], r_out = ann_rads[1])
plt.figure(figsize = (10, 8))
plt.imshow(image, cmap = 'Greys', vmin = -5000, vmax = 5000,
origin = 'lower')
plt.colorbar()
apertures.plot(color = 'blue', lw = 1.5, alpha = 0.5)
annuli.plot(color = 'green', lw = 1.5, alpha = 0.5)
plt.savefig(img_dir + 'source_plot.png')
plt.close()
return None
def plot_outlier_rejection(plot_dir, x, quick_detrend, filtered, mask,
tag = ''):
plt.plot(x, quick_detrend, 'k.')
plt.plot(x, filtered, 'r-')
plt.plot(x[~mask], quick_detrend[~mask], 'r.')
plt.savefig(f'{plot_dir}outlier_rejection'+tag+'.png')
plt.close()
return None
def plot_initial_map(plot_dir, x, ys, yerrs, compars, map_soln, gp = False,
joint = False, joint_num = 'None'):
if joint:
append = f'_{joint_num}'
else:
append = ''
lc = map_soln["light_curve" + append]
vec = x - np.mean(x)
systematics = np.dot(map_soln["weights" + append], compars)
if gp:
baseline = map_soln["gp_pred" + append]
else:
baseline = 0.
detrended_data = (ys[0])/systematics
true_err= np.sqrt(yerrs[0]**2 + map_soln["jitter" + append]**2)
plt.errorbar(x, detrended_data, yerr = true_err,
color = 'k', marker = '.', linestyle = 'None')
plt.plot(x, lc, 'r-', zorder = 10)
plt.savefig(f'{plot_dir}initial_map_soln{append}.png')
plt.close()
return None
def plot_quickfit(plot_dir, x, ys, yerrs, tag = ''):
plt.errorbar(x, ys[0]/np.mean(ys[1:], axis = 0), yerr = yerrs[0],
marker = '.', linestyle = 'None')
plt.xlabel("Time [BJD]")
plt.ylabel("Normalized Flux (Quick Detrend)")
plt.savefig(f'{plot_dir}quickfit{tag}.png')
plt.close()
return None
def plot_covariates(plot_dir, x, covariate_names, covs, tag = ''):
for name, cov in zip(covariate_names, covs):
plt.plot(x, cov, 'C0-')
plt.xlabel("Time [BJD]")
plt.ylabel(f"{name}")
plt.savefig(f'{plot_dir}{name}{tag}.png')
plt.close()
return None
def plot_white_light_curves(plot_dir, x, ys, tag = ''):
for i, y in enumerate(ys):
fmtstr = 'k.' if i == 0 else '.'
lblstr = f'Comp {i}' if i > 0 else 'Target'
plt.plot(x, y, fmtstr, label = lblstr)
plt.legend(loc = 'best')
plt.savefig(f'{plot_dir}white_light_curves{tag}.png')
plt.legend(loc = 'best')
plt.close()
return None
def plot_aperture_opt(plot_dir, apertures, rmses):
plt.plot(apertures, rmses)
plt.xlabel("Aperture Size [px]")
plt.ylabel("Per-Point rms")
plt.savefig(f'{plot_dir}rms_vs_aperture.png')
plt.close()
return None
def gen_rms(lc, binsize):
binned = lc.bin(time_bin_size = binsize)
return(np.nanstd(binned.flux))
def gen_photon_noise(lc, photon_noise, binsize, texp):
binned = lc.bin(time_bin_size = binsize)
length_arr = len(binned.time)
length_factor = np.sqrt(length_arr/(length_arr - 1))
white_noise = photon_noise/np.sqrt(binsize/texp)*length_factor
return white_noise
def gen_photon_noise_errors(lc, photon_noise, binsize):
binned = lc.bin(time_bin_size = binsize)
length_arr = len(binned.time)
rms = np.nanstd(binned.flux)
return rms/np.sqrt(2*length_arr)
def represent_noise_stats(dump_dir, new_map, resid, yerrs):
filename = open(f'{dump_dir}noise_stats.txt', 'w')
shot_noise = yerrs[0]
sigma_extra = float(new_map['jitter'])
rms = np.nanstd(resid)
npts = len(resid)
print("Mean shot noise (data + bkg): ", np.mean(shot_noise)*1e6, "ppm",
file = filename)
print("Extra noise: ", sigma_extra*1e6, "ppm", file = filename)
print("Per point rms: ", rms*1e6, "ppm", file = filename)
print("Number of points: ", npts, file = filename)
return None
def corner_plot(plot_dir, samples, varnames):
corner.corner(samples, var_names = varnames,
hist2d_kwargs = {'data_kwargs': {'rasterized': True}})
plt.savefig(f'{plot_dir}cornerplt.png', dpi = 200,
bbox_inches = 'tight')
plt.close()
return None
def trace_plot(plot_dir, data, varnames):
az.plot_trace(data, var_names = varnames,
trace_kwargs = {'rasterized': True})
plt.savefig(f'{plot_dir}traceplt.pdf')
plt.close()
return None
def doubleplot(plot_dir, dump_dir, x, ys, yerrs, compars, detrended_data,
new_map, trace, texp, map_t0, map_p, phase = 'primary', bin_time = 10,
gp = False, plot_nominal = False, baseline = None, fit_tess = False):
#bin_time in mins
matplotlib.rcParams['mathtext.fontset'] = 'cm'
matplotlib.rcParams['font.family'] = 'STIXGeneral'
matplotlib.rcParams['font.size'] = 20
fig, ax = plt.subplots(2, 1, figsize = (8, 8), sharex = True,
gridspec_kw={'height_ratios': [3, 1]})
#MAP lightcurve and reduction
lc = np.array(new_map[f'light_curve'])
true_err = np.sqrt(yerrs[0]**2 + float(new_map[f"jitter"])**2)
#if phase == 'primary':
x_fold = (x - map_t0 + 0.5 * map_p) % map_p - 0.5 * map_p
#else:
# x_fold = (x - map_t0) % map_p - 0.5 * map_p
if gp:
ax[0].plot(x_fold, 1+baseline, color = 'g', linestyle = '-', lw = 1)
#setting the light curves for plotting and residuals
plot_lc = lk.LightCurve(time = x_fold, flux = detrended_data,
flux_err = true_err)
bin_lc = plot_lc.bin(time_bin_size = bin_time / 1440.)
plot_resid = lk.LightCurve(time = x_fold, flux = detrended_data - lc,
flux_err = true_err)
bin_resid = plot_resid.bin(time_bin_size = bin_time / 1440.)
#plotting light curve and residuals, unbinned and binned
ax[0].errorbar(x_fold, detrended_data, yerr = true_err,
color = 'k', marker = '.', linestyle = 'None', alpha = 0.1)
ax[0].errorbar(bin_lc.time.value, bin_lc.flux.value,
yerr = bin_lc.flux_err.value,
color = 'k', marker = '.', linestyle = 'None', ms = 5)
ax[1].errorbar(plot_resid.time.value, plot_resid.flux.value,
yerr = plot_resid.flux_err.value, color = 'k', marker = '.',
linestyle = 'None', alpha = 0.1)
ax[1].errorbar(bin_resid.time.value, bin_resid.flux.value,
yerr = bin_resid.flux_err.value, color = 'k', marker = '.',
linestyle = 'None', ms = 5)
#MAP wirc light curve
dummy_fold = new_map['dummy_t'] - map_t0
dummy_lc = new_map['dummy_light_curve']
ax[0].plot(dummy_fold, dummy_lc, f'r-', zorder = 10, lw = 2)
#68 percentile on the confidence interval
stacked = trace.posterior.stack(draws=("chain", "draw"))
lcsamps = stacked.dummy_light_curve.values
lower = np.percentile(lcsamps, 16, axis = 1)
upper = np.percentile(lcsamps, 84, axis = 1)
ax[0].fill_between(dummy_fold, lower, upper,
alpha = 0.3, facecolor = f'r', lw = 1)
#MAP wirc light curve
if plot_nominal == True:
dummy_lc_opt = new_map['light_curve_nominal']
ax[0].plot(dummy_fold, dummy_lc_opt, f'b-', zorder = 10, lw = 2)
#lcsamps = stacked.light_curve_nominal.values
#lower = np.percentile(lcsamps, 16, axis = 1)
#upper = np.percentile(lcsamps, 84, axis = 1)
#ax[0].fill_between(dummy_fold, lower, upper,
# alpha = 0.3, facecolor = f'b', lw = 1)
if fit_tess:
dummy_lc_opt = new_map['light_curve_nominal']
ax[0].plot(dummy_fold, dummy_lc_opt, f'b-', zorder = 10, lw = 2)
minx = min(x_fold)
maxx = max(x_fold)
ymin, ymax = ax[0].get_ylim()
scale = (ymax - ymin)/3
ax[1].set_ylim(-scale/2, scale/2)
ax[0].set_ylabel("Relative Flux")
ax[1].set_ylabel("Residual")
ax[1].set_xlabel("Time from Eclipse Center [d]")
ax[0].set_xlim(minx, maxx)
ax[1].set_xlim(minx, maxx)
fig.align_ylabels(ax)
fig.subplots_adjust(hspace=0)
plt.savefig(f'{plot_dir}double_plot.pdf', dpi = 200,
bbox_inches = 'tight')
plt.close()
return None
def tripleplot(plot_dir, dump_dir, x, ys, yerrs, compars, detrended_data,
new_map, trace, texp, map_t0, map_p, phase = 'primary', bin_time = 10,
gp = False, plot_nominal = False, baseline = None, fit_tess = False):
#bin_time in mins
matplotlib.rcParams['mathtext.fontset'] = 'cm'
matplotlib.rcParams['font.family'] = 'STIXGeneral'
matplotlib.rcParams['font.size'] = 20
fig, ax = plt.subplots(3, 1, figsize = (8, 12),
gridspec_kw={'height_ratios': [3, 1, 3]})
#MAP lightcurve and reduction
lc = np.array(new_map[f'light_curve'])
true_err = np.sqrt(yerrs[0]**2 + float(new_map[f"jitter"])**2)
#if phase == 'primary':
x_fold = (x - map_t0 + 0.5 * map_p) % map_p - 0.5 * map_p
#else:
# x_fold = (x - map_t0) % map_p - 0.5 * map_p
if gp:
ax[0].plot(x_fold, 1+baseline, color = 'g', linestyle = '-', lw = 1)
#setting the light curves for plotting and residuals
plot_lc = lk.LightCurve(time = x_fold, flux = detrended_data,
flux_err = true_err)
bin_lc = plot_lc.bin(time_bin_size = bin_time / 1440.)
plot_resid = lk.LightCurve(time = x_fold, flux = detrended_data - lc,
flux_err = true_err)
bin_resid = plot_resid.bin(time_bin_size = bin_time / 1440.)
represent_noise_stats(dump_dir, new_map, plot_resid.flux, yerrs)
#plotting light curve and residuals, unbinned and binned
ax[0].errorbar(x_fold, detrended_data, yerr = true_err,
color = 'k', marker = '.', linestyle = 'None', alpha = 0.1)
ax[0].errorbar(bin_lc.time.value, bin_lc.flux.value,
yerr = bin_lc.flux_err.value,
color = 'k', marker = '.', linestyle = 'None', ms = 5)
ax[1].errorbar(plot_resid.time.value, plot_resid.flux.value,
yerr = plot_resid.flux_err.value, color = 'k', marker = '.',
linestyle = 'None', alpha = 0.1)
ax[1].errorbar(bin_resid.time.value, bin_resid.flux.value,
yerr = bin_resid.flux_err.value, color = 'k', marker = '.',
linestyle = 'None', ms = 5)
#MAP wirc light curve
dummy_fold = new_map['dummy_t'] - map_t0
dummy_lc = new_map['dummy_light_curve']
ax[0].plot(dummy_fold, dummy_lc, f'r-', zorder = 10, lw = 2)
#68 percentile on the confidence interval
stacked = trace.posterior.stack(draws=("chain", "draw"))
lcsamps = stacked.dummy_light_curve.values
lower = np.percentile(lcsamps, 16, axis = 1)
upper = np.percentile(lcsamps, 84, axis = 1)
ax[0].fill_between(dummy_fold, lower, upper,
alpha = 0.3, facecolor = f'r', lw = 1)
#MAP wirc light curve
if plot_nominal == True:
dummy_lc_opt = new_map['light_curve_nominal']
ax[0].plot(dummy_fold, dummy_lc_opt, f'b-', zorder = 10, lw = 2)
#lcsamps = stacked.light_curve_nominal.values
#lower = np.percentile(lcsamps, 16, axis = 1)
#upper = np.percentile(lcsamps, 84, axis = 1)
#ax[0].fill_between(dummy_fold, lower, upper,
# alpha = 0.3, facecolor = f'b', lw = 1)
if fit_tess:
dummy_lc_opt = new_map['light_curve_nominal']
ax[0].plot(dummy_fold, dummy_lc_opt, f'b-', zorder = 10, lw = 2)
#rms vs binsize
tsep = np.median(np.ediff1d(x))
binsizes = np.arange(1, 30) * tsep
rmses = [gen_rms(plot_resid, bs) for bs in binsizes]
photon_noise = np.median(yerrs[0])
photon_noises = [gen_photon_noise(
plot_resid, photon_noise, bs, tsep) for bs in binsizes]
photon_noise_errors = [gen_photon_noise_errors(
plot_resid, photon_noise, bs) for bs in binsizes]
ax[2].errorbar(binsizes*1440., rmses, yerr = photon_noise_errors,
color = 'k')
ax[2].plot(binsizes*1440., photon_noises, 'r-')
ax[2].plot(binsizes*1440.,
np.array(photon_noises)*rmses[0]/photon_noises[0], 'r--')
minx = min(x_fold)
maxx = max(x_fold)
ymin, ymax = ax[0].get_ylim()
scale = (ymax - ymin)/3
ax[1].set_ylim(-scale/2, scale/2)
ax[0].set_ylabel("Relative Flux")
ax[1].set_ylabel("Residual")
ax[1].set_xlabel("Time from Eclipse Center [d]")
ax[0].set_xlim(minx, maxx)
ax[1].set_xlim(minx, maxx)
ax[2].set_ylabel("rms scatter")
ax[2].set_xlabel("Binsize [min]")
ax[2].set_xscale('log')
ax[2].set_yscale('log')
fig.align_ylabels(ax)
plt.tight_layout()
plt.savefig(f'{plot_dir}triple_plot.pdf', dpi = 200,
bbox_inches = 'tight')
plt.close()
return None
def plot_tess(plot_dir, x, ys, yerrs, new_map, trace, texp, map_t0, map_p, bin_time = 10):
#bin_time in mins
matplotlib.rcParams['mathtext.fontset'] = 'cm'
matplotlib.rcParams['font.family'] = 'STIXGeneral'
matplotlib.rcParams['font.size'] = 20
fig, ax = plt.subplots(3, 1, figsize = (8, 12),
gridspec_kw={'height_ratios': [3, 1, 3]})
#MAP lightcurve and reduction
lc = np.array(new_map[f'light_curve_TESS'])
true_err = yerrs*float(new_map[f'tess_error_scaling'])
x_fold = (x - map_t0 + 0.5 * map_p) % map_p - 0.5 * map_p
sort_inds = np.argsort(x_fold)
#setting the light curves for plotting and residuals
plot_lc = lk.LightCurve(time = x_fold[sort_inds], flux = ys[sort_inds],
flux_err = true_err[sort_inds])
bin_lc = plot_lc.bin(time_bin_size = bin_time / 1440.)
plot_resid = lk.LightCurve(time = x_fold[sort_inds], flux = ys[sort_inds] - lc[sort_inds],
flux_err = true_err[sort_inds])
bin_resid = plot_resid.bin(time_bin_size = bin_time / 1440.)
#plotting light curve and residuals, unbinned and binned
ax[0].errorbar(x_fold, ys, yerr = true_err,
color = 'k', marker = '.', linestyle = 'None', alpha = 0.1)
ax[0].errorbar(bin_lc.time.value, bin_lc.flux.value,
yerr = bin_lc.flux_err.value,
color = 'k', marker = '.', linestyle = 'None', ms = 5, zorder = 5)
ax[1].errorbar(plot_resid.time.value, plot_resid.flux.value,
yerr = plot_resid.flux_err.value, color = 'k', marker = '.',
linestyle = 'None', alpha = 0.1)
ax[1].errorbar(bin_resid.time.value, bin_resid.flux.value,
yerr = bin_resid.flux_err.value, color = 'k', marker = '.',
linestyle = 'None', ms = 5, zorder = 5)
#MAP wirc light curve
dummy_fold = new_map['dummy_t'] - map_t0
dummy_lc = new_map['light_curve_nominal']
ax[0].plot(dummy_fold, dummy_lc, f'b-', zorder = 10, lw = 2)
#68 percentile on the confidence interval
stacked = trace.posterior.stack(draws=("chain", "draw"))
lcsamps = stacked.light_curve_nominal.values
lower = np.percentile(lcsamps, 16, axis = 1)
upper = np.percentile(lcsamps, 84, axis = 1)
ax[0].fill_between(dummy_fold, lower, upper,
alpha = 0.3, facecolor = f'b', lw = 1)
#rms vs binsize
tsep = np.median(np.ediff1d(x))
binsizes = np.arange(1, 30) * tsep
rmses = [gen_rms(plot_resid, bs) for bs in binsizes]
photon_noise = np.median(yerrs[0])
photon_noises = [gen_photon_noise(
plot_resid, photon_noise, bs, tsep) for bs in binsizes]
photon_noise_errors = [gen_photon_noise_errors(
plot_resid, photon_noise, bs) for bs in binsizes]
ax[2].errorbar(binsizes*1440., rmses, yerr = photon_noise_errors,
color = 'k')
ax[2].plot(binsizes*1440., photon_noises, 'r-')
ax[2].plot(binsizes*1440.,
np.array(photon_noises)*rmses[0]/photon_noises[0], 'r--')
minx = -0.2
maxx = 0.2
ax[0].set_ylabel("Relative Flux")
ax[1].set_ylabel("Residual")
ax[1].set_xlabel("Time from Eclipse Center [d]")
ax[0].set_xlim(minx, maxx)
ax[1].set_xlim(minx, maxx)
ax[2].set_ylabel("rms scatter")
ax[2].set_xlabel("Binsize [min]")
ax[2].set_xscale('log')
ax[2].set_yscale('log')
fig.align_ylabels(ax)
plt.tight_layout()
plt.savefig(f'{plot_dir}triple_plot_tess.pdf', dpi = 200,
bbox_inches = 'tight')
plt.close()
return None
def tripleplot_joint(plot_dir, x_final, y_final, yerrs_final, resid_final,
new_map, trace, texp_list, map_t0, map_p, full_x, full_y, full_yerr,
full_resid, bin_time = 5, plot_nominal = False):
matplotlib.rcParams['mathtext.fontset'] = 'cm'
matplotlib.rcParams['font.family'] = 'STIXGeneral'
matplotlib.rcParams['font.size'] = 20
fig, ax = plt.subplots(3, 1, figsize = (8, 12),
gridspec_kw={'height_ratios': [3, 1, 3]})
minx = 0
maxx = 0
for i in range(len(x_final)):
minx = min(min(x_final[i]), minx)
maxx = max(max(x_final[i]), maxx)
plot_lc = lk.LightCurve(time = x_final[i], flux = y_final[i],
flux_err = yerrs_final[i])
plot_resid = lk.LightCurve(time = x_final[i],
flux = resid_final[i], flux_err = yerrs_final[i])
#represent_noise_stats(dump_dir, new_map, plot_resid.flux, yerrs)
if i == 0:
m = '.'
elif i == 1:
m = '^'
else:
m = 's'
ax[0].errorbar(plot_lc.time.value, plot_lc.flux.value,
yerr = plot_lc.flux_err.value, color = 'k', marker = m,
linestyle = 'None', alpha = 0.1)
ax[1].errorbar(plot_resid.time.value, plot_resid.flux.value,
yerr = plot_resid.flux_err.value, color = 'k',
marker = m, linestyle = 'None', alpha = 0.1)
tsep = np.median(np.ediff1d(x_final[i]))
binsizes = np.arange(1, 30) * tsep
rmses = [gen_rms(plot_resid, bs) for bs in binsizes]
photon_noise = np.median(yerrs_final[i][0])
photon_noises = [gen_photon_noise(
plot_resid, photon_noise, bs, tsep) for bs in binsizes]
photon_noise_errors = [gen_photon_noise_errors(
plot_resid, photon_noise, bs) for bs in binsizes]
ax[2].errorbar(binsizes*1440., rmses, marker = m,
yerr = photon_noise_errors, color = 'k')
ax[2].plot(binsizes*1440., photon_noises, 'r-')
ax[2].plot(binsizes*1440.,
np.array(photon_noises)*rmses[0]/photon_noises[0],
'r--')
plot_lc = lk.LightCurve(time = full_x, flux = full_y,
flux_err = full_yerr)
bin_lc = plot_lc.bin(time_bin_size = bin_time / 1440.)
plot_resid = lk.LightCurve(time = full_x,
flux = full_resid, flux_err = full_yerr)
bin_resid = plot_resid.bin(time_bin_size = bin_time / 1440.)
ax[0].errorbar(bin_lc.time.value, bin_lc.flux.value,
yerr = bin_lc.flux_err.value,
color = 'k', marker = '.', linestyle = 'None', ms = 5)
ax[1].errorbar(bin_resid.time.value, bin_resid.flux.value,
yerr = bin_resid.flux_err.value,
color = 'k', marker = '.', linestyle = 'None', ms = 5)
#MAP wirc light curve
dummy_fold = new_map['dummy_t'] - map_t0
dummy_lc = new_map['dummy_light_curve']
dummy_lc_opt = new_map['light_curve_nominal']
ax[0].plot(dummy_fold, dummy_lc, f'r-', zorder = 10, lw = 2)
ax[0].plot(dummy_fold, dummy_lc_opt, f'b-', zorder = 10, lw = 2)
#68 percentile on the confidence interval
stacked = trace.posterior.stack(draws=("chain", "draw"))
lcsamps = stacked.dummy_light_curve.values
lower = np.percentile(lcsamps, 16, axis = 1)
upper = np.percentile(lcsamps, 84, axis = 1)
ax[0].fill_between(dummy_fold, lower, upper,
alpha = 0.3, facecolor = f'r', lw = 1)
#rms vs binsize
ax[0].set_ylabel("Relative Flux")
ax[1].set_ylabel("Residual")
ax[1].set_xlabel("Time from Eclipse Center [d]")
ax[0].set_xlim(minx, maxx)
ax[1].set_xlim(minx, maxx)
ax[2].set_ylabel("rms scatter")
ax[2].set_xlabel("Binsize [min]")
ax[2].set_xscale('log')
ax[2].set_yscale('log')
fig.align_ylabels(ax)
plt.tight_layout()
plt.savefig(f'{plot_dir}triple_plot_joint.pdf', dpi = 200,
bbox_inches = 'tight')
plt.close()
return full_x, full_y, full_yerr
| 35.636364 | 91 | 0.689644 | 3,048 | 18,424 | 3.971129 | 0.10105 | 0.008675 | 0.016854 | 0.026024 | 0.795192 | 0.766441 | 0.7481 | 0.727115 | 0.707617 | 0.700182 | 0 | 0.028218 | 0.147905 | 18,424 | 516 | 92 | 35.705426 | 0.742786 | 0.076422 | 0 | 0.635037 | 0 | 0 | 0.102286 | 0.021447 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041363 | false | 0 | 0.019465 | 0 | 0.099757 | 0.009732 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
5a21417b3845f11c59804f89d77bd16d842f0b73 | 78 | py | Python | scripts/quest/autogen_q43726s.py | doriyan13/doristory | 438caf3b123922da3f5f3b16fcc98a26a8ab85ce | [
"MIT"
] | null | null | null | scripts/quest/autogen_q43726s.py | doriyan13/doristory | 438caf3b123922da3f5f3b16fcc98a26a8ab85ce | [
"MIT"
] | null | null | null | scripts/quest/autogen_q43726s.py | doriyan13/doristory | 438caf3b123922da3f5f3b16fcc98a26a8ab85ce | [
"MIT"
] | null | null | null | # ParentID: 43726
# ObjectID: 0
# Character field ID when accessed: 100000000
| 19.5 | 45 | 0.75641 | 10 | 78 | 5.9 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.230769 | 0.166667 | 78 | 3 | 46 | 26 | 0.676923 | 0.910256 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
5a26adf54a1c2b9f09e4448135f12837341917ec | 126 | py | Python | admin.py | cameronlai/ath_res_vis | bda9f5d52146f5d6952610efa0c7cb88048ded00 | [
"MIT"
] | null | null | null | admin.py | cameronlai/ath_res_vis | bda9f5d52146f5d6952610efa0c7cb88048ded00 | [
"MIT"
] | null | null | null | admin.py | cameronlai/ath_res_vis | bda9f5d52146f5d6952610efa0c7cb88048ded00 | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import AthResults
# Register your models here.
admin.site.register(AthResults)
| 21 | 32 | 0.81746 | 17 | 126 | 6.058824 | 0.647059 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.119048 | 126 | 5 | 33 | 25.2 | 0.927928 | 0.206349 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
5a3fae1c9c7a8b5a03b936928a8ec814063fecdb | 63 | py | Python | teuthology/lock/__init__.py | zhsj/teuthology | 7f11a09f2b7d7406d65f21a85fc2e3db395a95a0 | [
"MIT"
] | null | null | null | teuthology/lock/__init__.py | zhsj/teuthology | 7f11a09f2b7d7406d65f21a85fc2e3db395a95a0 | [
"MIT"
] | 1 | 2021-02-23T19:06:55.000Z | 2021-02-23T19:06:55.000Z | teuthology/lock/__init__.py | zhsj/teuthology | 7f11a09f2b7d7406d65f21a85fc2e3db395a95a0 | [
"MIT"
] | 2 | 2019-09-26T09:31:37.000Z | 2019-09-26T09:36:30.000Z | from teuthology.lock import cli, keys, ops, query, util # noqa | 63 | 63 | 0.746032 | 10 | 63 | 4.7 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.15873 | 63 | 1 | 63 | 63 | 0.886792 | 0.063492 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
5a59191640aaf7c754ca95a108149788cc9ed74f | 15,217 | py | Python | tests/unit_test/data_processor/history_test.py | Shashank411/kairon | 8a3a083136d8cf89359021e49a7610509772ca9b | [
"Apache-2.0"
] | null | null | null | tests/unit_test/data_processor/history_test.py | Shashank411/kairon | 8a3a083136d8cf89359021e49a7610509772ca9b | [
"Apache-2.0"
] | null | null | null | tests/unit_test/data_processor/history_test.py | Shashank411/kairon | 8a3a083136d8cf89359021e49a7610509772ca9b | [
"Apache-2.0"
] | null | null | null | import json
import os
from datetime import datetime
import pytest
from mongoengine import connect
from mongomock import MongoClient
from rasa.core.tracker_store import MongoTrackerStore
from rasa.shared.core.domain import Domain
from kairon.data_processor.history import ChatHistory
from kairon.data_processor.processor import MongoProcessor
from kairon.utils import Utility
class TestHistory:
@pytest.fixture(autouse=True)
def init_connection(self):
os.environ["system_file"] = "./tests/testing_data/system.yaml"
Utility.load_evironment()
connect(host=Utility.environment['database']["url"])
def history_conversations(self, *args, **kwargs):
json_data = json.load(
open("tests/testing_data/history/conversations_history.json")
)
return json_data[0]['events'], None
def get_history_conversations(self):
json_data = json.load(
open("tests/testing_data/history/conversations_history.json")
)
for event in json_data[0]['events'][15:]:
event['timestamp'] = datetime.utcnow().timestamp()
return json_data[0], None
def get_history_conversations_new(self):
json_data = json.load(
open("tests/testing_data/history/conversations_history.json")
)
for event in json_data[0:2]:
event['latest_event_time'] = datetime.utcnow().timestamp()
for ev in event['events']:
ev['timestamp'] = datetime.utcnow().timestamp()
return json_data[0:2], None
def get_tracker_and_domain_data(self, *args, **kwargs):
domain = Domain.from_file("tests/testing_data/initial/domain.yml")
return domain, MongoTrackerStore(domain, host="mongodb://192.168.100.140:27169"), None
@pytest.fixture
def mock_get_tracker_and_domain(self, monkeypatch):
monkeypatch.setattr(
ChatHistory, "get_tracker_and_domain", self.get_tracker_and_domain_data
)
@pytest.fixture
def mock_fallback_user_data(self, monkeypatch):
def db_client(*args, **kwargs):
client = MongoClient()
db = client.get_database("conversation")
conversations = db.get_collection("conversations")
history, _ = self.get_history_conversations()
conversations.insert(history)
return client, "conversation", "conversations", None
monkeypatch.setattr(ChatHistory, "get_mongo_connection", db_client)
@pytest.fixture
def mock_fallback_user_data_new(self, monkeypatch):
def db_client(*args, **kwargs):
client = MongoClient()
db = client.get_database("conversation")
conversations = db.get_collection("conversations")
history, _ = self.get_history_conversations_new()
conversations.insert(history)
return client, "conversation", "conversations", None
monkeypatch.setattr(ChatHistory, "get_mongo_connection", db_client)
@pytest.fixture
def mock_mongo_client(self, monkeypatch):
def db_client(*args, **kwargs):
client = MongoClient()
db = client.get_database("conversation")
conversations = db.get_collection("conversations")
history, _ = self.history_conversations()
conversations.insert_many(history)
return client, "conversation", "conversations", None
monkeypatch.setattr(ChatHistory, "get_mongo_connection", db_client)
@pytest.fixture
def mock_mongo_client_empty(self, monkeypatch):
def client(*args, **kwargs):
client = MongoClient()
return client, "conversation", "conversations", None
monkeypatch.setattr(ChatHistory, "get_mongo_connection", client)
def endpoint_details(self, *args, **kwargs):
return {"tracker_endpoint": {"url": "mongodb://localhost:27169", "db": "conversation"}}
@pytest.fixture
def mock_mongo_processor(self, monkeypatch):
monkeypatch.setattr(MongoProcessor, "get_endpoints", self.endpoint_details)
def test_fetch_chat_users_db_error(self, mock_mongo_processor):
with pytest.raises(Exception):
users = ChatHistory.fetch_chat_users(bot="tests")
assert len(users) == 0
def test_fetch_chat_users(self, mock_mongo_client):
users = ChatHistory.fetch_chat_users(bot="tests")
assert len(users) == 2
def test_fetch_chat_users_empty(self, mock_mongo_client_empty):
users = ChatHistory.fetch_chat_users(bot="tests")
assert len(users) == 2
def test_fetch_chat_users_error(self, mock_mongo_processor):
with pytest.raises(Exception):
users, message = ChatHistory.fetch_chat_users(bot="tests")
assert len(users) == 0
assert message is None
def test_fetch_chat_history_error(self, mock_mongo_processor):
with pytest.raises(Exception):
history, message = ChatHistory.fetch_chat_history(sender="123", bot="tests")
assert len(history) == 0
assert message is None
def test_fetch_chat_history_empty(self, mock_mongo_client_empty):
history, message = ChatHistory.fetch_chat_history(sender="123", bot="tests")
assert len(history) == 0
assert message is None
def test_fetch_chat_history(self, monkeypatch):
def events(*args, **kwargs):
json_data = json.load(open("tests/testing_data/history/conversation.json"))
return json_data['events'], None
monkeypatch.setattr(ChatHistory, "fetch_user_history", events)
history, message = ChatHistory.fetch_chat_history(
sender="5e564fbcdcf0d5fad89e3acd", bot="tests"
)
assert len(history) == 12
assert history[0]["event"]
assert history[0]["time"]
assert history[0]["date"]
assert history[0]["text"]
assert history[0]["is_exists"] == False or history[0]["is_exists"]
assert history[0]["intent"]
assert history[0]["confidence"]
assert message is None
def test_visitor_hit_fallback_error(self, mock_mongo_processor):
with pytest.raises(Exception):
hit_fall_back, message = ChatHistory.visitor_hit_fallback("tests")
assert hit_fall_back["fallback_count"] == 0
assert hit_fall_back["total_count"] == 0
assert message is None
def test_visitor_hit_fallback(self, mock_fallback_user_data, monkeypatch):
def _mock_load_config(*args, **kwargs):
return {"policies": [{"name": "RulePolicy", 'core_fallback_action_name': 'action_default_fallback'}]}
monkeypatch.setattr(MongoProcessor, 'load_config', _mock_load_config)
hit_fall_back, message = ChatHistory.visitor_hit_fallback("5b029887-bed2-4bbb-aa25-bd12fda26244")
assert hit_fall_back["fallback_count"] == 1
assert hit_fall_back["total_count"] == 4
assert message is None
def test_visitor_hit_fallback_action_not_configured(self, mock_fallback_user_data, monkeypatch):
def _mock_load_config(*args, **kwargs):
return {"policies": [{"name": "RulePolicy"}]}
monkeypatch.setattr(MongoProcessor, 'load_config', _mock_load_config)
hit_fall_back, message = ChatHistory.visitor_hit_fallback("5b029887-bed2-4bbb-aa25-bd12fda26244")
assert hit_fall_back["fallback_count"] == 1
assert hit_fall_back["total_count"] == 4
assert message is None
def test_visitor_hit_fallback_custom_action(self, mock_fallback_user_data, monkeypatch):
def _mock_load_config(*args, **kwargs):
return {"policies": [{"name": "RulePolicy", 'core_fallback_action_name': 'utter_location_query'}]}
monkeypatch.setattr(MongoProcessor, 'load_config', _mock_load_config)
hit_fall_back, message = ChatHistory.visitor_hit_fallback("5b029887-bed2-4bbb-aa25-bd12fda26244")
assert hit_fall_back["fallback_count"] == 1
assert hit_fall_back["total_count"] == 4
assert message is None
def test_visitor_hit_fallback_nlu_fallback_configured(self, mock_fallback_user_data):
steps = [
{"name": "nlu_fallback", "type": "INTENT"},
{"name": "utter_please_rephrase", "type": "BOT"}
]
rule = {'name': 'fallback_rule', 'steps': steps, 'type': 'RULE'}
MongoProcessor().add_complex_story(rule, "5b029887-bed2-4bbb-aa25-bd12fda26244", 'test')
hit_fall_back, message = ChatHistory.visitor_hit_fallback("5b029887-bed2-4bbb-aa25-bd12fda26244")
assert hit_fall_back["fallback_count"] == 2
assert hit_fall_back["total_count"] == 4
assert message is None
def test_conversation_time_error(self, mock_mongo_processor):
with pytest.raises(Exception):
conversation_time, message = ChatHistory.conversation_time("tests")
assert not conversation_time
assert message is None
def test_conversation_time_empty(self, mock_mongo_client_empty):
conversation_time, message = ChatHistory.conversation_time("tests")
assert not conversation_time
assert message is None
def test_conversation_time(self, mock_mongo_client):
conversation_time, message = ChatHistory.conversation_time("tests")
assert conversation_time == []
assert message is None
def test_conversation_steps_error(self, mock_mongo_processor):
with pytest.raises(Exception):
conversation_steps, message = ChatHistory.conversation_steps("tests")
assert not conversation_steps
assert message is None
def test_conversation_steps_empty(self, mock_mongo_client_empty):
conversation_steps, message = ChatHistory.conversation_steps("tests")
assert not conversation_steps
assert message is None
def test_conversation_steps(self, mock_mongo_client):
conversation_steps, message = ChatHistory.conversation_steps("tests")
assert conversation_steps == []
assert message is None
def test_user_with_metrics(self, mock_mongo_client):
users, message = ChatHistory.user_with_metrics("tests")
assert users == []
assert message is None
def test_engaged_users_error(self, mock_mongo_processor):
with pytest.raises(Exception):
engaged_user, message = ChatHistory.engaged_users("tests")
assert not engaged_user
assert message is None
def test_engaged_users(self, mock_mongo_client):
engaged_user, message = ChatHistory.engaged_users("tests")
assert engaged_user['engaged_users'] == 0
assert message is None
def test_new_user_error(self, mock_mongo_processor):
with pytest.raises(Exception):
count_user, message = ChatHistory.new_users("tests")
assert not count_user
assert message is None
def test_new_user(self, mock_mongo_client):
count_user, message = ChatHistory.new_users("tests")
assert count_user['new_users'] == 0
assert message is None
def test_successful_conversation_error(self, mock_mongo_processor):
with pytest.raises(Exception):
conversation_steps, message = ChatHistory.successful_conversations("tests")
assert not conversation_steps
assert message is None
def test_successful_conversation(self, mock_mongo_client):
conversation_steps, message = ChatHistory.successful_conversations("tests")
assert conversation_steps['successful_conversations'] == 0
assert message is None
def test_user_retention_error(self, mock_mongo_processor):
with pytest.raises(Exception):
retention, message = ChatHistory.user_retention("tests")
assert not retention
assert message is None
def test_user_retention(self, mock_mongo_client):
retention, message = ChatHistory.user_retention("tests")
assert retention['user_retention'] == 0
assert message is None
def test_engaged_users_range_error(self, mock_mongo_processor):
with pytest.raises(Exception):
engaged_user, message = ChatHistory.engaged_users_range("tests")
assert not engaged_user
assert message is None
def test_engaged_users_range(self, mock_mongo_client):
engaged_user, message = ChatHistory.engaged_users_range("tests")
assert engaged_user["engaged_user_range"] == {}
assert message is None
def test_new_user_range_error(self, mock_mongo_processor):
with pytest.raises(Exception):
count_user, message = ChatHistory.new_users_range("tests")
assert not count_user
assert message is None
def test_new_user_range(self, mock_mongo_client):
count_user, message = ChatHistory.new_users_range("tests")
assert count_user['new_user_range'] == {}
assert message is None
def test_successful_conversation_range_error(self, mock_mongo_processor):
with pytest.raises(Exception):
conversation_steps, message = ChatHistory.successful_conversation_range("tests")
assert not conversation_steps
assert message is None
def test_successful_conversation_range(self, mock_mongo_client):
conversation_steps, message = ChatHistory.successful_conversation_range("tests")
assert conversation_steps["success_conversation_range"] == {}
assert message is None
def test_user_retention_range_error(self, mock_mongo_processor):
with pytest.raises(Exception):
retention, message = ChatHistory.user_retention_range("tests")
assert not retention
assert message is None
def test_user_retention_range(self, mock_mongo_client):
retention, message = ChatHistory.user_retention_range("tests")
assert retention['retention_range'] == {}
assert message is None
def test_fallback_range_error(self, mock_mongo_processor):
with pytest.raises(Exception):
f_count, message = ChatHistory.fallback_count_range("tests")
assert not f_count
assert message is None
def test_fallback_range(self, mock_mongo_client):
f_count, message = ChatHistory.fallback_count_range("tests")
assert f_count["fallback_counts"] == {}
assert message is None
def test_flatten_conversation_error(self, mock_mongo_processor):
with pytest.raises(Exception):
f_count, message = ChatHistory.flatten_conversations("tests")
assert not f_count
assert message is None
def test_flatten_conversation_range(self, mock_mongo_client):
f_count, message = ChatHistory.flatten_conversations("tests")
assert f_count["conversation_data"] == []
assert message is None
def test_flatten_conversation_with_data(self, mock_fallback_user_data_new):
f_data, message = ChatHistory.flatten_conversations("tests")
assert f_data["conversation_data"][0]['events'][0]['text'] == "Hi"
assert message is None
| 42.864789 | 113 | 0.685878 | 1,744 | 15,217 | 5.685206 | 0.091743 | 0.02824 | 0.055976 | 0.070903 | 0.810287 | 0.763893 | 0.747857 | 0.724054 | 0.644478 | 0.553707 | 0 | 0.014187 | 0.221791 | 15,217 | 354 | 114 | 42.985876 | 0.823087 | 0 | 0 | 0.52901 | 0 | 0 | 0.117902 | 0.045873 | 0 | 0 | 0 | 0 | 0.303754 | 1 | 0.204778 | false | 0 | 0.037543 | 0.013652 | 0.290102 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
5a64b3d56bf03c41ae19f304cc19c0743e40fc41 | 101 | py | Python | angr/engines/light/__init__.py | mariusmue/angr | f8304c4b1f0097a721a6692b02a45cabaae137c5 | [
"BSD-2-Clause"
] | 2 | 2019-01-17T14:48:13.000Z | 2021-02-22T11:49:42.000Z | angr/engines/light/__init__.py | mariusmue/angr | f8304c4b1f0097a721a6692b02a45cabaae137c5 | [
"BSD-2-Clause"
] | 2 | 2018-11-13T16:19:16.000Z | 2018-12-10T15:45:53.000Z | angr/engines/light/__init__.py | mariusmue/angr | f8304c4b1f0097a721a6692b02a45cabaae137c5 | [
"BSD-2-Clause"
] | 1 | 2022-02-10T02:29:38.000Z | 2022-02-10T02:29:38.000Z |
from .data import SpOffset, RegisterOffset
from .engine import SimEngineLightVEX, SimEngineLightAIL
| 25.25 | 56 | 0.851485 | 10 | 101 | 8.6 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.108911 | 101 | 3 | 57 | 33.666667 | 0.955556 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
5a6d6582c20c8989002e8a65906be13f1880e599 | 7,136 | py | Python | tests/stackdriver_test.py | pyk/kumparan.py | f9c9973cfec50b96b6672dfbc41f26875fa2a18a | [
"BSD-3-Clause"
] | 1 | 2018-03-19T11:08:56.000Z | 2018-03-19T11:08:56.000Z | tests/stackdriver_test.py | pyk/kumparan.py | f9c9973cfec50b96b6672dfbc41f26875fa2a18a | [
"BSD-3-Clause"
] | 8 | 2018-03-19T15:58:32.000Z | 2021-06-01T22:01:26.000Z | tests/stackdriver_test.py | kumparan/kumparan.py | f9c9973cfec50b96b6672dfbc41f26875fa2a18a | [
"BSD-3-Clause"
] | null | null | null | import unittest
import logging
import ujson
from kumparan.stackdriver import StackdriverLoggingFormatter
def init_logger(output_path: str,
service_name: str,
service_version: str) -> logging.Logger:
"""init_logger Initialize new logging.Logger
Arguments:
output_path {str} -- Path to the .log file
service_name {str} -- Service name for the stackdriver
service_version {str} -- Service version of the stackdriver
Returns:
logging.Logger -- Class of the logging.Logger
"""
logger = logging.getLogger(__name__)
# Setup the logging handler and the formatter
service_name = "test"
service_version = "test"
handler = logging.FileHandler(filename=output_path)
formatter = StackdriverLoggingFormatter(
service_name=service_name,
service_version=service_version)
handler.setFormatter(formatter)
logger.addHandler(handler)
logger.setLevel(logging.DEBUG)
return logger
class TestStackdriverLogging(unittest.TestCase):
def test_severity_debug(self):
# Setup the logging handler and the formatter
log_file_path = "stackdriver_test_debug.log"
service_name = "test"
service_version = "test"
service_context = {
"service": service_name,
"version": service_version
}
logger = init_logger(output_path=log_file_path,
service_name=service_name,
service_version=service_version)
logger.debug("message")
with open(log_file_path) as f:
line = f.read().strip()
log_record = ujson.loads(line)
# Make sure the logging is correct
self.assertTrue("timestamp" in log_record)
self.assertEqual(log_record["severity"], "DEBUG")
self.assertEqual(log_record["message"], "message")
self.assertEqual(log_record["serviceContext"], service_context)
self.assertTrue("sourceLocation" in log_record)
def test_severity_info(self):
# Setup the logging handler and the formatter
log_file_path = "stackdriver_test_info.log"
service_name = "test"
service_version = "test"
service_context = {
"service": service_name,
"version": service_version
}
logger = init_logger(output_path=log_file_path,
service_name=service_name,
service_version=service_version)
logger.info("message")
with open(log_file_path) as f:
line = f.read().strip()
log_record = ujson.loads(line)
# Make sure the logging is correct
self.assertTrue("timestamp" in log_record)
self.assertEqual(log_record["severity"], "INFO")
self.assertEqual(log_record["message"], "message")
self.assertEqual(log_record["serviceContext"], service_context)
self.assertTrue("sourceLocation" in log_record)
def test_severity_warning(self):
# Setup the logging handler and the formatter
log_file_path = "stackdriver_test_warning.log"
service_name = "test"
service_version = "test"
service_context = {
"service": service_name,
"version": service_version
}
logger = init_logger(output_path=log_file_path,
service_name=service_name,
service_version=service_version)
logger.warning("message")
with open(log_file_path) as f:
line = f.read().strip()
log_record = ujson.loads(line)
# Make sure the logging is correct
self.assertTrue("timestamp" in log_record)
self.assertEqual(log_record["severity"], "WARNING")
self.assertEqual(log_record["message"], "message")
self.assertEqual(log_record["serviceContext"], service_context)
self.assertTrue("sourceLocation" in log_record)
def test_severity_error(self):
# Setup the logging handler and the formatter
log_file_path = "stackdriver_test_error.log"
service_name = "test"
service_version = "test"
service_context = {
"service": service_name,
"version": service_version
}
logger = init_logger(output_path=log_file_path,
service_name=service_name,
service_version=service_version)
logger.error("message")
with open(log_file_path) as f:
line = f.read().strip()
log_record = ujson.loads(line)
# Make sure the logging is correct
self.assertTrue("timestamp" in log_record)
self.assertEqual(log_record["severity"], "ERROR")
self.assertEqual(log_record["message"], "message")
self.assertEqual(log_record["serviceContext"], service_context)
self.assertTrue("sourceLocation" in log_record)
def test_severity_critical(self):
# Setup the logging handler and the formatter
log_file_path = "stackdriver_test_critical.log"
service_name = "test"
service_version = "test"
service_context = {
"service": service_name,
"version": service_version
}
logger = init_logger(output_path=log_file_path,
service_name=service_name,
service_version=service_version)
logger.critical("message")
with open(log_file_path) as f:
line = f.read().strip()
log_record = ujson.loads(line)
# Make sure the logging is correct
self.assertTrue("timestamp" in log_record)
self.assertEqual(log_record["severity"], "CRITICAL")
self.assertEqual(log_record["message"], "message")
self.assertEqual(log_record["serviceContext"], service_context)
self.assertTrue("sourceLocation" in log_record)
def test_severity_exception(self):
# Setup the logging handler and the formatter
log_file_path = "stackdriver_test_exception.log"
service_name = "test"
service_version = "test"
service_context = {
"service": service_name,
"version": service_version
}
logger = init_logger(output_path=log_file_path,
service_name=service_name,
service_version=service_version)
try:
raise ValueError("Input is not valid")
except Exception as e:
logger.exception(e)
with open(log_file_path) as f:
line = f.read().strip()
log_record = ujson.loads(line)
# Make sure the logging is correct
self.assertTrue("timestamp" in log_record)
self.assertEqual(log_record["severity"], "ERROR")
self.assertTrue("ValueError" in log_record["message"])
self.assertEqual(log_record["serviceContext"], service_context)
self.assertTrue("sourceLocation" in log_record)
if __name__ == '__main__':
unittest.main()
| 36.408163 | 71 | 0.624019 | 760 | 7,136 | 5.602632 | 0.106579 | 0.076092 | 0.046501 | 0.09582 | 0.795444 | 0.795444 | 0.787694 | 0.779004 | 0.767262 | 0.767262 | 0 | 0 | 0.288397 | 7,136 | 195 | 72 | 36.594872 | 0.838519 | 0.110706 | 0 | 0.659722 | 0 | 0 | 0.120019 | 0.026036 | 0 | 0 | 0 | 0 | 0.208333 | 1 | 0.048611 | false | 0 | 0.027778 | 0 | 0.090278 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
5a74f4493fd1e2d2bfbff8815421959516fa5d88 | 70 | py | Python | weighted_collection/__init__.py | subalterngames/weighted_collection | d881a650266bb12a79e52c62637f071d7ab1fe25 | [
"MIT"
] | null | null | null | weighted_collection/__init__.py | subalterngames/weighted_collection | d881a650266bb12a79e52c62637f071d7ab1fe25 | [
"MIT"
] | null | null | null | weighted_collection/__init__.py | subalterngames/weighted_collection | d881a650266bb12a79e52c62637f071d7ab1fe25 | [
"MIT"
] | null | null | null | from weighted_collection.weighted_collection import WeightedCollection | 70 | 70 | 0.942857 | 7 | 70 | 9.142857 | 0.714286 | 0.5625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.042857 | 70 | 1 | 70 | 70 | 0.955224 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 |
5a85bcaabf3a39f73ecd75b573b39992b34d8558 | 199 | py | Python | docker_sdk_api/domain/services/contract/abstract_path_service.py | hadikoub/BMW-TensorFlow-Training-GUI | 0c18e65529b3fcb6a7ea9e57f8e4e2e5e6e93d5d | [
"Apache-2.0"
] | 1 | 2020-06-22T12:56:58.000Z | 2020-06-22T12:56:58.000Z | docker_sdk_api/domain/services/contract/abstract_path_service.py | hadikoub/BMW-TensorFlow-Training-GUI | 0c18e65529b3fcb6a7ea9e57f8e4e2e5e6e93d5d | [
"Apache-2.0"
] | null | null | null | docker_sdk_api/domain/services/contract/abstract_path_service.py | hadikoub/BMW-TensorFlow-Training-GUI | 0c18e65529b3fcb6a7ea9e57f8e4e2e5e6e93d5d | [
"Apache-2.0"
] | null | null | null |
from abc import ABC, abstractmethod
from domain.models.paths import Paths
class AbstractPathService(ABC):
@abstractmethod
def get_paths(self)-> Paths:raise NotImplementedError
| 19.9 | 57 | 0.743719 | 22 | 199 | 6.681818 | 0.636364 | 0.231293 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.19598 | 199 | 9 | 58 | 22.111111 | 0.91875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.4 | 0 | 0.8 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
ce49917fb5a91f543a780583b1c4653d32a7d20e | 116 | py | Python | scripts/yaml2json.py | kwjw/dredd | cf96579dc4240fd79f062b8abebda97f518131ab | [
"MIT"
] | 6 | 2019-10-02T21:16:00.000Z | 2021-12-19T11:43:38.000Z | scripts/yaml2json.py | kwjw/dredd | cf96579dc4240fd79f062b8abebda97f518131ab | [
"MIT"
] | 10 | 2019-10-03T18:38:15.000Z | 2021-11-26T21:42:29.000Z | scripts/yaml2json.py | kwjw/dredd | cf96579dc4240fd79f062b8abebda97f518131ab | [
"MIT"
] | 11 | 2019-10-02T21:17:08.000Z | 2021-10-01T15:34:15.000Z | #!/usr/bin/env python3
import json
import sys
import yaml
print(json.dumps(yaml.safe_load(sys.stdin), indent=4))
| 12.888889 | 54 | 0.75 | 20 | 116 | 4.3 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019417 | 0.112069 | 116 | 8 | 55 | 14.5 | 0.815534 | 0.181034 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.75 | 0 | 0.75 | 0.25 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
ce77aeefe468dced11da78dbb4dd1717813db007 | 267 | py | Python | src/faber/artefacts/boost/__init__.py | stefanseefeld/constructor | 0f369a8a9e4de305e5379d9662b2e79bffd43910 | [
"BSL-1.0"
] | 14 | 2017-05-27T00:18:24.000Z | 2021-09-11T03:51:02.000Z | src/faber/artefacts/boost/__init__.py | stefanseefeld/faber | 0f369a8a9e4de305e5379d9662b2e79bffd43910 | [
"BSL-1.0"
] | 26 | 2017-07-16T17:20:57.000Z | 2021-02-08T02:49:53.000Z | src/faber/artefacts/boost/__init__.py | stefanseefeld/constructor | 0f369a8a9e4de305e5379d9662b2e79bffd43910 | [
"BSL-1.0"
] | 3 | 2018-05-24T13:52:40.000Z | 2020-06-30T16:46:26.000Z | #
# Copyright (c) 2019 Stefan Seefeld
# All rights reserved.
#
# This file is part of Faber. It is made available under the
# Boost Software License, Version 1.0.
# (Consult LICENSE or http://www.boost.org/LICENSE_1_0.txt)
from .test import test_module # noqa F401
| 26.7 | 60 | 0.737828 | 44 | 267 | 4.409091 | 0.840909 | 0.020619 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.04955 | 0.168539 | 267 | 9 | 61 | 29.666667 | 0.824324 | 0.816479 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 5 |
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