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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
c6c9c599a38959336f88eebadcaf6c1d141f5523 | 1,125 | py | Python | server/favorite_things/tests/test_fixtures/favorite_query.py | el-Joft/favorite-things | d840c779e98836c5a2f09c8abb981d00ff9fd278 | [
"MIT"
] | 1 | 2019-08-28T15:56:41.000Z | 2019-08-28T15:56:41.000Z | server/favorite_things/tests/test_fixtures/favorite_query.py | el-Joft/favorite-things | d840c779e98836c5a2f09c8abb981d00ff9fd278 | [
"MIT"
] | null | null | null | server/favorite_things/tests/test_fixtures/favorite_query.py | el-Joft/favorite-things | d840c779e98836c5a2f09c8abb981d00ff9fd278 | [
"MIT"
] | null | null | null | create_favorite_query = '''
mutation {{
createFavorite (
title: "{title}",
description: "{description}",
category: "{category}",
ranking: {ranking}
) {{
message
errors
favorite {{
id
title
}}
}}
}}
'''
update_favorite_query = '''
mutation {{
updateFavorite (
id: "{id}",
title: "{title}",
description: "{description}",
category: "{category}",
ranking: {ranking}
) {{
message
errors
favorite {{
id
title
description
ranking
category {{
id
name
}}
}}
}}
}}
'''
delete_favorite_query = '''
mutation {{
deleteFavorite(
id: "{id}"
) {{
message
favorite {{
title
}}
}}
}}
'''
all_favorites = '''
query {
favorites {
id
ranking
title
category {
id
name
}
}
}
'''
single_favorite = '''
query {{
favorite(id: "{id}") {{
id
title
description
category {{
id
name
}}
}}
}}
'''
all_audit_log = '''
query {
audits {
id
tableName
tableFields
timestamp
action
}
}
'''
| 11.71875 | 33 | 0.488 | 85 | 1,125 | 6.341176 | 0.317647 | 0.096475 | 0.116883 | 0.118738 | 0.333952 | 0.333952 | 0.333952 | 0.333952 | 0.333952 | 0.333952 | 0 | 0 | 0.360889 | 1,125 | 95 | 34 | 11.842105 | 0.749652 | 0 | 0 | 0.722222 | 0 | 0 | 0.849778 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
c6cf1db5cfc2af59cfc4d4606898d58ab9b93bfd | 70 | py | Python | src/python_boilerplate/__init__.py | mateuspontesm/python-boilerplate | 43442d2dc5aa0824177313b4a7d019b6e2e246b0 | [
"BSD-3-Clause"
] | null | null | null | src/python_boilerplate/__init__.py | mateuspontesm/python-boilerplate | 43442d2dc5aa0824177313b4a7d019b6e2e246b0 | [
"BSD-3-Clause"
] | null | null | null | src/python_boilerplate/__init__.py | mateuspontesm/python-boilerplate | 43442d2dc5aa0824177313b4a7d019b6e2e246b0 | [
"BSD-3-Clause"
] | null | null | null | """Top-level package for Python Boilerplate."""
__version__ = '0.2.0'
| 23.333333 | 47 | 0.7 | 10 | 70 | 4.5 | 0.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.048387 | 0.114286 | 70 | 2 | 48 | 35 | 0.677419 | 0.585714 | 0 | 0 | 0 | 0 | 0.217391 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
c6e6cecd009094980ad974a5ef4fce3fa79a3ad1 | 400,655 | py | Python | src/genie/libs/parser/iosxe/tests/ShowSnmpMib/cli/equal/golden_output1_expected.py | balmasea/genieparser | d1e71a96dfb081e0a8591707b9d4872decd5d9d3 | [
"Apache-2.0"
] | 204 | 2018-06-27T00:55:27.000Z | 2022-03-06T21:12:18.000Z | src/genie/libs/parser/iosxe/tests/ShowSnmpMib/cli/equal/golden_output1_expected.py | balmasea/genieparser | d1e71a96dfb081e0a8591707b9d4872decd5d9d3 | [
"Apache-2.0"
] | 468 | 2018-06-19T00:33:18.000Z | 2022-03-31T23:23:35.000Z | src/genie/libs/parser/iosxe/tests/ShowSnmpMib/cli/equal/golden_output1_expected.py | balmasea/genieparser | d1e71a96dfb081e0a8591707b9d4872decd5d9d3 | [
"Apache-2.0"
] | 309 | 2019-01-16T20:21:07.000Z | 2022-03-30T12:56:41.000Z | expected_output = {
"aal5VccEntry": {"3": {}, "4": {}, "5": {}},
"aarpEntry": {"1": {}, "2": {}, "3": {}},
"adslAtucChanConfFastMaxTxRate": {},
"adslAtucChanConfFastMinTxRate": {},
"adslAtucChanConfInterleaveMaxTxRate": {},
"adslAtucChanConfInterleaveMinTxRate": {},
"adslAtucChanConfMaxInterleaveDelay": {},
"adslAtucChanCorrectedBlks": {},
"adslAtucChanCrcBlockLength": {},
"adslAtucChanCurrTxRate": {},
"adslAtucChanInterleaveDelay": {},
"adslAtucChanIntervalCorrectedBlks": {},
"adslAtucChanIntervalReceivedBlks": {},
"adslAtucChanIntervalTransmittedBlks": {},
"adslAtucChanIntervalUncorrectBlks": {},
"adslAtucChanIntervalValidData": {},
"adslAtucChanPerfCurr15MinCorrectedBlks": {},
"adslAtucChanPerfCurr15MinReceivedBlks": {},
"adslAtucChanPerfCurr15MinTimeElapsed": {},
"adslAtucChanPerfCurr15MinTransmittedBlks": {},
"adslAtucChanPerfCurr15MinUncorrectBlks": {},
"adslAtucChanPerfCurr1DayCorrectedBlks": {},
"adslAtucChanPerfCurr1DayReceivedBlks": {},
"adslAtucChanPerfCurr1DayTimeElapsed": {},
"adslAtucChanPerfCurr1DayTransmittedBlks": {},
"adslAtucChanPerfCurr1DayUncorrectBlks": {},
"adslAtucChanPerfInvalidIntervals": {},
"adslAtucChanPerfPrev1DayCorrectedBlks": {},
"adslAtucChanPerfPrev1DayMoniSecs": {},
"adslAtucChanPerfPrev1DayReceivedBlks": {},
"adslAtucChanPerfPrev1DayTransmittedBlks": {},
"adslAtucChanPerfPrev1DayUncorrectBlks": {},
"adslAtucChanPerfValidIntervals": {},
"adslAtucChanPrevTxRate": {},
"adslAtucChanReceivedBlks": {},
"adslAtucChanTransmittedBlks": {},
"adslAtucChanUncorrectBlks": {},
"adslAtucConfDownshiftSnrMgn": {},
"adslAtucConfMaxSnrMgn": {},
"adslAtucConfMinDownshiftTime": {},
"adslAtucConfMinSnrMgn": {},
"adslAtucConfMinUpshiftTime": {},
"adslAtucConfRateChanRatio": {},
"adslAtucConfRateMode": {},
"adslAtucConfTargetSnrMgn": {},
"adslAtucConfUpshiftSnrMgn": {},
"adslAtucCurrAtn": {},
"adslAtucCurrAttainableRate": {},
"adslAtucCurrOutputPwr": {},
"adslAtucCurrSnrMgn": {},
"adslAtucCurrStatus": {},
"adslAtucDmtConfFastPath": {},
"adslAtucDmtConfFreqBins": {},
"adslAtucDmtConfInterleavePath": {},
"adslAtucDmtFastPath": {},
"adslAtucDmtInterleavePath": {},
"adslAtucDmtIssue": {},
"adslAtucDmtState": {},
"adslAtucInitFailureTrapEnable": {},
"adslAtucIntervalESs": {},
"adslAtucIntervalInits": {},
"adslAtucIntervalLofs": {},
"adslAtucIntervalLols": {},
"adslAtucIntervalLoss": {},
"adslAtucIntervalLprs": {},
"adslAtucIntervalValidData": {},
"adslAtucInvSerialNumber": {},
"adslAtucInvVendorID": {},
"adslAtucInvVersionNumber": {},
"adslAtucPerfCurr15MinESs": {},
"adslAtucPerfCurr15MinInits": {},
"adslAtucPerfCurr15MinLofs": {},
"adslAtucPerfCurr15MinLols": {},
"adslAtucPerfCurr15MinLoss": {},
"adslAtucPerfCurr15MinLprs": {},
"adslAtucPerfCurr15MinTimeElapsed": {},
"adslAtucPerfCurr1DayESs": {},
"adslAtucPerfCurr1DayInits": {},
"adslAtucPerfCurr1DayLofs": {},
"adslAtucPerfCurr1DayLols": {},
"adslAtucPerfCurr1DayLoss": {},
"adslAtucPerfCurr1DayLprs": {},
"adslAtucPerfCurr1DayTimeElapsed": {},
"adslAtucPerfESs": {},
"adslAtucPerfInits": {},
"adslAtucPerfInvalidIntervals": {},
"adslAtucPerfLofs": {},
"adslAtucPerfLols": {},
"adslAtucPerfLoss": {},
"adslAtucPerfLprs": {},
"adslAtucPerfPrev1DayESs": {},
"adslAtucPerfPrev1DayInits": {},
"adslAtucPerfPrev1DayLofs": {},
"adslAtucPerfPrev1DayLols": {},
"adslAtucPerfPrev1DayLoss": {},
"adslAtucPerfPrev1DayLprs": {},
"adslAtucPerfPrev1DayMoniSecs": {},
"adslAtucPerfValidIntervals": {},
"adslAtucThresh15MinESs": {},
"adslAtucThresh15MinLofs": {},
"adslAtucThresh15MinLols": {},
"adslAtucThresh15MinLoss": {},
"adslAtucThresh15MinLprs": {},
"adslAtucThreshFastRateDown": {},
"adslAtucThreshFastRateUp": {},
"adslAtucThreshInterleaveRateDown": {},
"adslAtucThreshInterleaveRateUp": {},
"adslAturChanConfFastMaxTxRate": {},
"adslAturChanConfFastMinTxRate": {},
"adslAturChanConfInterleaveMaxTxRate": {},
"adslAturChanConfInterleaveMinTxRate": {},
"adslAturChanConfMaxInterleaveDelay": {},
"adslAturChanCorrectedBlks": {},
"adslAturChanCrcBlockLength": {},
"adslAturChanCurrTxRate": {},
"adslAturChanInterleaveDelay": {},
"adslAturChanIntervalCorrectedBlks": {},
"adslAturChanIntervalReceivedBlks": {},
"adslAturChanIntervalTransmittedBlks": {},
"adslAturChanIntervalUncorrectBlks": {},
"adslAturChanIntervalValidData": {},
"adslAturChanPerfCurr15MinCorrectedBlks": {},
"adslAturChanPerfCurr15MinReceivedBlks": {},
"adslAturChanPerfCurr15MinTimeElapsed": {},
"adslAturChanPerfCurr15MinTransmittedBlks": {},
"adslAturChanPerfCurr15MinUncorrectBlks": {},
"adslAturChanPerfCurr1DayCorrectedBlks": {},
"adslAturChanPerfCurr1DayReceivedBlks": {},
"adslAturChanPerfCurr1DayTimeElapsed": {},
"adslAturChanPerfCurr1DayTransmittedBlks": {},
"adslAturChanPerfCurr1DayUncorrectBlks": {},
"adslAturChanPerfInvalidIntervals": {},
"adslAturChanPerfPrev1DayCorrectedBlks": {},
"adslAturChanPerfPrev1DayMoniSecs": {},
"adslAturChanPerfPrev1DayReceivedBlks": {},
"adslAturChanPerfPrev1DayTransmittedBlks": {},
"adslAturChanPerfPrev1DayUncorrectBlks": {},
"adslAturChanPerfValidIntervals": {},
"adslAturChanPrevTxRate": {},
"adslAturChanReceivedBlks": {},
"adslAturChanTransmittedBlks": {},
"adslAturChanUncorrectBlks": {},
"adslAturConfDownshiftSnrMgn": {},
"adslAturConfMaxSnrMgn": {},
"adslAturConfMinDownshiftTime": {},
"adslAturConfMinSnrMgn": {},
"adslAturConfMinUpshiftTime": {},
"adslAturConfRateChanRatio": {},
"adslAturConfRateMode": {},
"adslAturConfTargetSnrMgn": {},
"adslAturConfUpshiftSnrMgn": {},
"adslAturCurrAtn": {},
"adslAturCurrAttainableRate": {},
"adslAturCurrOutputPwr": {},
"adslAturCurrSnrMgn": {},
"adslAturCurrStatus": {},
"adslAturDmtConfFastPath": {},
"adslAturDmtConfFreqBins": {},
"adslAturDmtConfInterleavePath": {},
"adslAturDmtFastPath": {},
"adslAturDmtInterleavePath": {},
"adslAturDmtIssue": {},
"adslAturDmtState": {},
"adslAturIntervalESs": {},
"adslAturIntervalLofs": {},
"adslAturIntervalLoss": {},
"adslAturIntervalLprs": {},
"adslAturIntervalValidData": {},
"adslAturInvSerialNumber": {},
"adslAturInvVendorID": {},
"adslAturInvVersionNumber": {},
"adslAturPerfCurr15MinESs": {},
"adslAturPerfCurr15MinLofs": {},
"adslAturPerfCurr15MinLoss": {},
"adslAturPerfCurr15MinLprs": {},
"adslAturPerfCurr15MinTimeElapsed": {},
"adslAturPerfCurr1DayESs": {},
"adslAturPerfCurr1DayLofs": {},
"adslAturPerfCurr1DayLoss": {},
"adslAturPerfCurr1DayLprs": {},
"adslAturPerfCurr1DayTimeElapsed": {},
"adslAturPerfESs": {},
"adslAturPerfInvalidIntervals": {},
"adslAturPerfLofs": {},
"adslAturPerfLoss": {},
"adslAturPerfLprs": {},
"adslAturPerfPrev1DayESs": {},
"adslAturPerfPrev1DayLofs": {},
"adslAturPerfPrev1DayLoss": {},
"adslAturPerfPrev1DayLprs": {},
"adslAturPerfPrev1DayMoniSecs": {},
"adslAturPerfValidIntervals": {},
"adslAturThresh15MinESs": {},
"adslAturThresh15MinLofs": {},
"adslAturThresh15MinLoss": {},
"adslAturThresh15MinLprs": {},
"adslAturThreshFastRateDown": {},
"adslAturThreshFastRateUp": {},
"adslAturThreshInterleaveRateDown": {},
"adslAturThreshInterleaveRateUp": {},
"adslLineAlarmConfProfile": {},
"adslLineAlarmConfProfileRowStatus": {},
"adslLineCoding": {},
"adslLineConfProfile": {},
"adslLineConfProfileRowStatus": {},
"adslLineDmtConfEOC": {},
"adslLineDmtConfMode": {},
"adslLineDmtConfTrellis": {},
"adslLineDmtEOC": {},
"adslLineDmtTrellis": {},
"adslLineSpecific": {},
"adslLineType": {},
"alarmEntry": {
"1": {},
"10": {},
"11": {},
"12": {},
"2": {},
"3": {},
"4": {},
"5": {},
"6": {},
"7": {},
"8": {},
"9": {},
},
"alpsAscuA1": {},
"alpsAscuA2": {},
"alpsAscuAlarmsEnabled": {},
"alpsAscuCktName": {},
"alpsAscuDownReason": {},
"alpsAscuDropsAscuDisabled": {},
"alpsAscuDropsAscuDown": {},
"alpsAscuDropsGarbledPkts": {},
"alpsAscuEnabled": {},
"alpsAscuEntry": {"20": {}},
"alpsAscuFwdStatusOption": {},
"alpsAscuInOctets": {},
"alpsAscuInPackets": {},
"alpsAscuMaxMsgLength": {},
"alpsAscuOutOctets": {},
"alpsAscuOutPackets": {},
"alpsAscuRetryOption": {},
"alpsAscuRowStatus": {},
"alpsAscuState": {},
"alpsCktAscuId": {},
"alpsCktAscuIfIndex": {},
"alpsCktAscuStatus": {},
"alpsCktBaseAlarmsEnabled": {},
"alpsCktBaseConnType": {},
"alpsCktBaseCurrPeerConnId": {},
"alpsCktBaseCurrentPeer": {},
"alpsCktBaseDownReason": {},
"alpsCktBaseDropsCktDisabled": {},
"alpsCktBaseDropsLifeTimeExpd": {},
"alpsCktBaseDropsQOverflow": {},
"alpsCktBaseEnabled": {},
"alpsCktBaseHostLinkNumber": {},
"alpsCktBaseHostLinkType": {},
"alpsCktBaseInOctets": {},
"alpsCktBaseInPackets": {},
"alpsCktBaseLifeTimeTimer": {},
"alpsCktBaseLocalHld": {},
"alpsCktBaseNumActiveAscus": {},
"alpsCktBaseOutOctets": {},
"alpsCktBaseOutPackets": {},
"alpsCktBasePriPeerAddr": {},
"alpsCktBaseRemHld": {},
"alpsCktBaseRowStatus": {},
"alpsCktBaseState": {},
"alpsCktP1024Ax25LCN": {},
"alpsCktP1024BackupPeerAddr": {},
"alpsCktP1024DropsUnkAscu": {},
"alpsCktP1024EmtoxX121": {},
"alpsCktP1024IdleTimer": {},
"alpsCktP1024InPktSize": {},
"alpsCktP1024MatipCloseDelay": {},
"alpsCktP1024OutPktSize": {},
"alpsCktP1024RetryTimer": {},
"alpsCktP1024RowStatus": {},
"alpsCktP1024SvcMsgIntvl": {},
"alpsCktP1024SvcMsgList": {},
"alpsCktP1024WinIn": {},
"alpsCktP1024WinOut": {},
"alpsCktX25DropsVcReset": {},
"alpsCktX25HostX121": {},
"alpsCktX25IfIndex": {},
"alpsCktX25LCN": {},
"alpsCktX25RemoteX121": {},
"alpsIfHLinkActiveCkts": {},
"alpsIfHLinkAx25PvcDamp": {},
"alpsIfHLinkEmtoxHostX121": {},
"alpsIfHLinkX25ProtocolType": {},
"alpsIfP1024CurrErrCnt": {},
"alpsIfP1024EncapType": {},
"alpsIfP1024Entry": {"11": {}, "12": {}, "13": {}},
"alpsIfP1024GATimeout": {},
"alpsIfP1024MaxErrCnt": {},
"alpsIfP1024MaxRetrans": {},
"alpsIfP1024MinGoodPollResp": {},
"alpsIfP1024NumAscus": {},
"alpsIfP1024PollPauseTimeout": {},
"alpsIfP1024PollRespTimeout": {},
"alpsIfP1024PollingRatio": {},
"alpsIpAddress": {},
"alpsPeerInCallsAcceptFlag": {},
"alpsPeerKeepaliveMaxRetries": {},
"alpsPeerKeepaliveTimeout": {},
"alpsPeerLocalAtpPort": {},
"alpsPeerLocalIpAddr": {},
"alpsRemPeerAlarmsEnabled": {},
"alpsRemPeerCfgActivation": {},
"alpsRemPeerCfgAlarmsOn": {},
"alpsRemPeerCfgIdleTimer": {},
"alpsRemPeerCfgNoCircTimer": {},
"alpsRemPeerCfgRowStatus": {},
"alpsRemPeerCfgStatIntvl": {},
"alpsRemPeerCfgStatRetry": {},
"alpsRemPeerCfgTCPQLen": {},
"alpsRemPeerConnActivation": {},
"alpsRemPeerConnAlarmsOn": {},
"alpsRemPeerConnCreation": {},
"alpsRemPeerConnDownReason": {},
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},
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"cmqCommonCallActiveASPDirEar": {},
"cmqCommonCallActiveASPDirMic": {},
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"cmqCommonCallActiveLoudestFreqEstForLongEpiEar": {},
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"cmqCommonCallActiveTotASPDurEar": {},
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"cmqCommonCallHistoryASPCallReferenceId": {},
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"cmqCommonCallHistoryASPDirEar": {},
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"cmqCommonCallHistoryLongestDurEpiEar": {},
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"cmqCommonCallHistoryLoudestFreqEstForLongEpiEar": {},
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"cmqCommonCallHistoryPreNRNoiseFloorEstEar": {},
"cmqCommonCallHistoryPreNRNoiseFloorEstMic": {},
"cmqCommonCallHistoryTotASPDurEar": {},
"cmqCommonCallHistoryTotASPDurMic": {},
"cmqCommonCallHistoryTotNumASPTriggEar": {},
"cmqCommonCallHistoryTotNumASPTriggMic": {},
"cmqVideoCallActiveCallReferenceId": {},
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"cmqVideoCallActiveRxMOSAverage": {},
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"cmqVideoCallActiveRxNetworkDegradeAverage": {},
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"cmqVoIPCallHistoryRxPred107RMosListen": {},
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"cmqVoIPCallHistoryRxPredMosLqoRecent": {},
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"cmqVoIPCallHistoryRxRoundTripTime": {},
"cmqVoIPCallHistoryRxSevConcealRatioPct": {},
"cmqVoIPCallHistoryRxSevConcealSec": {},
"cmqVoIPCallHistoryRxSignalLvl": {},
"cmqVoIPCallHistoryRxUnimpairedSecOK": {},
"cmqVoIPCallHistoryRxVoiceDur": {},
"cmqVoIPCallHistoryTxCodecId": {},
"cmqVoIPCallHistoryTxNoiseFloor": {},
"cmqVoIPCallHistoryTxSignalLvl": {},
"cmqVoIPCallHistoryTxTmrActSpeechDur": {},
"cmqVoIPCallHistoryTxTmrCallDur": {},
"cmqVoIPCallHistoryTxVadEnabled": {},
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"cnatAddrBindDirection": {},
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"cnatAddrBindInTranslate": {},
"cnatAddrBindNumberOfEntries": {},
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"cnatAddrBindType": {},
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"cnatAddrPortBindDirection": {},
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"cnatAddrPortBindGlobalPort": {},
"cnatAddrPortBindId": {},
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"cnatAddrPortBindNumberOfEntries": {},
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"cnatAddrPortBindType": {},
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"cnatProtocolStatsInTranslate": {},
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"cnatProtocolStatsRejectCount": {},
"cndeCollectorStatus": {},
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"cneClientStatRedirectRx": {},
"cneNotifEnable": {},
"cneServerStatRedirectTx": {},
"cnfCIBridgedFlowStatsCtrlEntry": {"2": {}, "3": {}},
"cnfCICacheEntry": {
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"3": {},
"4": {},
"5": {},
"6": {},
"7": {},
"8": {},
"9": {},
},
"cnfCIInterfaceEntry": {"1": {}, "2": {}},
"cnfCacheInfo": {"4": {}},
"cnfEICollectorEntry": {"4": {}},
"cnfEIExportInfoEntry": {"1": {}, "2": {}, "3": {}, "4": {}},
"cnfExportInfo": {"2": {}},
"cnfExportStatistics": {"1": {}, "2": {}, "3": {}, "4": {}, "5": {}, "6": {}},
"cnfExportTemplate": {"1": {}},
"cnfPSProtocolStatEntry": {"2": {}, "3": {}, "4": {}, "5": {}, "6": {}},
"cnfProtocolStatistics": {"1": {}, "2": {}},
"cnfTemplateEntry": {"2": {}, "3": {}, "4": {}},
"cnfTemplateExportInfoEntry": {"1": {}, "2": {}, "3": {}, "4": {}, "5": {}},
"cnpdAllStatsEntry": {
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"12": {},
"2": {},
"3": {},
"4": {},
"5": {},
"6": {},
"7": {},
"8": {},
"9": {},
},
"cnpdNotificationsConfig": {"1": {}},
"cnpdStatusEntry": {"1": {}, "2": {}},
"cnpdSupportedProtocolsEntry": {"2": {}},
"cnpdThresholdConfigEntry": {
"10": {},
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"2": {},
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"4": {},
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"7": {},
"8": {},
"9": {},
},
"cnpdThresholdHistoryEntry": {"2": {}, "3": {}, "4": {}, "5": {}, "6": {}, "7": {}},
"cnpdTopNConfigEntry": {
"2": {},
"3": {},
"4": {},
"5": {},
"6": {},
"7": {},
"8": {},
},
"cnpdTopNStatsEntry": {"2": {}, "3": {}, "4": {}},
"cnsClkSelGlobClockMode": {},
"cnsClkSelGlobCurrHoldoverSeconds": {},
"cnsClkSelGlobEECOption": {},
"cnsClkSelGlobESMCMode": {},
"cnsClkSelGlobHoldoffTime": {},
"cnsClkSelGlobLastHoldoverSeconds": {},
"cnsClkSelGlobNetsyncEnable": {},
"cnsClkSelGlobNetworkOption": {},
"cnsClkSelGlobNofSources": {},
"cnsClkSelGlobProcessMode": {},
"cnsClkSelGlobRevertiveMode": {},
"cnsClkSelGlobWtrTime": {},
"cnsExtOutFSW": {},
"cnsExtOutIntfType": {},
"cnsExtOutMSW": {},
"cnsExtOutName": {},
"cnsExtOutPriority": {},
"cnsExtOutQualityLevel": {},
"cnsExtOutSelNetsyncIndex": {},
"cnsExtOutSquelch": {},
"cnsInpSrcAlarm": {},
"cnsInpSrcAlarmInfo": {},
"cnsInpSrcESMCCap": {},
"cnsInpSrcFSW": {},
"cnsInpSrcHoldoffTime": {},
"cnsInpSrcIntfType": {},
"cnsInpSrcLockout": {},
"cnsInpSrcMSW": {},
"cnsInpSrcName": {},
"cnsInpSrcPriority": {},
"cnsInpSrcQualityLevel": {},
"cnsInpSrcQualityLevelRx": {},
"cnsInpSrcQualityLevelRxCfg": {},
"cnsInpSrcQualityLevelTx": {},
"cnsInpSrcQualityLevelTxCfg": {},
"cnsInpSrcSSMCap": {},
"cnsInpSrcSignalFailure": {},
"cnsInpSrcWtrTime": {},
"cnsMIBEnableStatusNotification": {},
"cnsSelInpSrcFSW": {},
"cnsSelInpSrcIntfType": {},
"cnsSelInpSrcMSW": {},
"cnsSelInpSrcName": {},
"cnsSelInpSrcPriority": {},
"cnsSelInpSrcQualityLevel": {},
"cnsSelInpSrcTimestamp": {},
"cnsT4ClkSrcAlarm": {},
"cnsT4ClkSrcAlarmInfo": {},
"cnsT4ClkSrcESMCCap": {},
"cnsT4ClkSrcFSW": {},
"cnsT4ClkSrcHoldoffTime": {},
"cnsT4ClkSrcIntfType": {},
"cnsT4ClkSrcLockout": {},
"cnsT4ClkSrcMSW": {},
"cnsT4ClkSrcName": {},
"cnsT4ClkSrcPriority": {},
"cnsT4ClkSrcQualityLevel": {},
"cnsT4ClkSrcQualityLevelRx": {},
"cnsT4ClkSrcQualityLevelRxCfg": {},
"cnsT4ClkSrcQualityLevelTx": {},
"cnsT4ClkSrcQualityLevelTxCfg": {},
"cnsT4ClkSrcSSMCap": {},
"cnsT4ClkSrcSignalFailure": {},
"cnsT4ClkSrcWtrTime": {},
"cntpFilterRegisterEntry": {"2": {}, "3": {}, "4": {}},
"cntpPeersVarEntry": {
"10": {},
"11": {},
"12": {},
"13": {},
"14": {},
"15": {},
"16": {},
"17": {},
"18": {},
"19": {},
"2": {},
"20": {},
"21": {},
"22": {},
"23": {},
"24": {},
"25": {},
"26": {},
"27": {},
"28": {},
"29": {},
"3": {},
"30": {},
"31": {},
"4": {},
"5": {},
"6": {},
"7": {},
"8": {},
"9": {},
},
"cntpSystem": {
"1": {},
"10": {},
"2": {},
"3": {},
"4": {},
"5": {},
"6": {},
"7": {},
"8": {},
"9": {},
},
"coiFECCurrentCorBitErrs": {},
"coiFECCurrentCorByteErrs": {},
"coiFECCurrentDetOneErrs": {},
"coiFECCurrentDetZeroErrs": {},
"coiFECCurrentUncorWords": {},
"coiFECIntervalCorBitErrs": {},
"coiFECIntervalCorByteErrs": {},
"coiFECIntervalDetOneErrs": {},
"coiFECIntervalDetZeroErrs": {},
"coiFECIntervalUncorWords": {},
"coiFECIntervalValidData": {},
"coiFECThreshStatus": {},
"coiFECThreshStorageType": {},
"coiFECThreshValue": {},
"coiIfControllerFECMode": {},
"coiIfControllerFECValidIntervals": {},
"coiIfControllerLaserAdminStatus": {},
"coiIfControllerLaserOperStatus": {},
"coiIfControllerLoopback": {},
"coiIfControllerOTNValidIntervals": {},
"coiIfControllerOtnStatus": {},
"coiIfControllerPreFECBERExponent": {},
"coiIfControllerPreFECBERMantissa": {},
"coiIfControllerQFactor": {},
"coiIfControllerQMargin": {},
"coiIfControllerTDCOperMode": {},
"coiIfControllerTDCOperSetting": {},
"coiIfControllerTDCOperStatus": {},
"coiIfControllerWavelength": {},
"coiOtnFarEndCurrentBBERs": {},
"coiOtnFarEndCurrentBBEs": {},
"coiOtnFarEndCurrentESRs": {},
"coiOtnFarEndCurrentESs": {},
"coiOtnFarEndCurrentFCs": {},
"coiOtnFarEndCurrentSESRs": {},
"coiOtnFarEndCurrentSESs": {},
"coiOtnFarEndCurrentUASs": {},
"coiOtnFarEndIntervalBBERs": {},
"coiOtnFarEndIntervalBBEs": {},
"coiOtnFarEndIntervalESRs": {},
"coiOtnFarEndIntervalESs": {},
"coiOtnFarEndIntervalFCs": {},
"coiOtnFarEndIntervalSESRs": {},
"coiOtnFarEndIntervalSESs": {},
"coiOtnFarEndIntervalUASs": {},
"coiOtnFarEndIntervalValidData": {},
"coiOtnFarEndThreshStatus": {},
"coiOtnFarEndThreshStorageType": {},
"coiOtnFarEndThreshValue": {},
"coiOtnIfNotifEnabled": {},
"coiOtnIfODUStatus": {},
"coiOtnIfOTUStatus": {},
"coiOtnNearEndCurrentBBERs": {},
"coiOtnNearEndCurrentBBEs": {},
"coiOtnNearEndCurrentESRs": {},
"coiOtnNearEndCurrentESs": {},
"coiOtnNearEndCurrentFCs": {},
"coiOtnNearEndCurrentSESRs": {},
"coiOtnNearEndCurrentSESs": {},
"coiOtnNearEndCurrentUASs": {},
"coiOtnNearEndIntervalBBERs": {},
"coiOtnNearEndIntervalBBEs": {},
"coiOtnNearEndIntervalESRs": {},
"coiOtnNearEndIntervalESs": {},
"coiOtnNearEndIntervalFCs": {},
"coiOtnNearEndIntervalSESRs": {},
"coiOtnNearEndIntervalSESs": {},
"coiOtnNearEndIntervalUASs": {},
"coiOtnNearEndIntervalValidData": {},
"coiOtnNearEndThreshStatus": {},
"coiOtnNearEndThreshStorageType": {},
"coiOtnNearEndThreshValue": {},
"convQllcAdminEntry": {
"1": {},
"10": {},
"11": {},
"12": {},
"2": {},
"3": {},
"4": {},
"5": {},
"6": {},
"7": {},
"8": {},
"9": {},
},
"convQllcOperEntry": {
"1": {},
"10": {},
"11": {},
"12": {},
"13": {},
"14": {},
"15": {},
"2": {},
"3": {},
"4": {},
"5": {},
"6": {},
"7": {},
"8": {},
"9": {},
},
"convSdllcAddrEntry": {"2": {}, "3": {}, "4": {}, "5": {}},
"convSdllcPortEntry": {
"1": {},
"2": {},
"3": {},
"4": {},
"5": {},
"6": {},
"7": {},
},
"cospfAreaEntry": {"1": {}, "2": {}, "3": {}, "4": {}, "5": {}},
"cospfGeneralGroup": {"5": {}},
"cospfIfEntry": {"1": {}, "2": {}},
"cospfLocalLsdbEntry": {"6": {}, "7": {}, "8": {}, "9": {}},
"cospfLsdbEntry": {"2": {}, "3": {}, "4": {}, "5": {}},
"cospfShamLinkEntry": {"4": {}, "5": {}, "6": {}, "7": {}, "8": {}, "9": {}},
"cospfShamLinkNbrEntry": {"4": {}, "5": {}, "6": {}, "7": {}, "8": {}, "9": {}},
"cospfShamLinksEntry": {"10": {}, "11": {}, "6": {}, "7": {}, "8": {}, "9": {}},
"cospfTrapControl": {"1": {}, "2": {}, "3": {}, "4": {}},
"cospfVirtIfEntry": {"1": {}, "2": {}},
"cospfVirtLocalLsdbEntry": {"6": {}, "7": {}, "8": {}, "9": {}},
"cpfrActiveProbeAdminStatus": {},
"cpfrActiveProbeAssignedPfxAddress": {},
"cpfrActiveProbeAssignedPfxAddressType": {},
"cpfrActiveProbeAssignedPfxLen": {},
"cpfrActiveProbeCodecName": {},
"cpfrActiveProbeDscpValue": {},
"cpfrActiveProbeMapIndex": {},
"cpfrActiveProbeMapPolicyIndex": {},
"cpfrActiveProbeMethod": {},
"cpfrActiveProbeOperStatus": {},
"cpfrActiveProbePfrMapIndex": {},
"cpfrActiveProbeRowStatus": {},
"cpfrActiveProbeStorageType": {},
"cpfrActiveProbeTargetAddress": {},
"cpfrActiveProbeTargetAddressType": {},
"cpfrActiveProbeTargetPortNumber": {},
"cpfrActiveProbeType": {},
"cpfrBRAddress": {},
"cpfrBRAddressType": {},
"cpfrBRAuthFailCount": {},
"cpfrBRConnFailureReason": {},
"cpfrBRConnStatus": {},
"cpfrBRKeyName": {},
"cpfrBROperStatus": {},
"cpfrBRRowStatus": {},
"cpfrBRStorageType": {},
"cpfrBRUpTime": {},
"cpfrDowngradeBgpCommunity": {},
"cpfrExitCapacity": {},
"cpfrExitCost1": {},
"cpfrExitCost2": {},
"cpfrExitCost3": {},
"cpfrExitCostCalcMethod": {},
"cpfrExitCostDiscard": {},
"cpfrExitCostDiscardAbsolute": {},
"cpfrExitCostDiscardPercent": {},
"cpfrExitCostDiscardType": {},
"cpfrExitCostEndDayOfMonth": {},
"cpfrExitCostEndOffset": {},
"cpfrExitCostEndOffsetType": {},
"cpfrExitCostFixedFeeCost": {},
"cpfrExitCostNickName": {},
"cpfrExitCostRollupPeriod": {},
"cpfrExitCostSamplingPeriod": {},
"cpfrExitCostSummerTimeEnd": {},
"cpfrExitCostSummerTimeOffset": {},
"cpfrExitCostSummerTimeStart": {},
"cpfrExitCostTierFee": {},
"cpfrExitCostTierRowStatus": {},
"cpfrExitCostTierStorageType": {},
"cpfrExitMaxUtilRxAbsolute": {},
"cpfrExitMaxUtilRxPercentage": {},
"cpfrExitMaxUtilRxType": {},
"cpfrExitMaxUtilTxAbsolute": {},
"cpfrExitMaxUtilTxPercentage": {},
"cpfrExitMaxUtilTxType": {},
"cpfrExitName": {},
"cpfrExitNickName": {},
"cpfrExitOperStatus": {},
"cpfrExitRollupCollected": {},
"cpfrExitRollupCumRxBytes": {},
"cpfrExitRollupCumTxBytes": {},
"cpfrExitRollupCurrentTgtUtil": {},
"cpfrExitRollupDiscard": {},
"cpfrExitRollupLeft": {},
"cpfrExitRollupMomTgtUtil": {},
"cpfrExitRollupStartingTgtUtil": {},
"cpfrExitRollupTimeRemain": {},
"cpfrExitRollupTotal": {},
"cpfrExitRowStatus": {},
"cpfrExitRsvpBandwidthPool": {},
"cpfrExitRxBandwidth": {},
"cpfrExitRxLoad": {},
"cpfrExitStorageType": {},
"cpfrExitSustainedUtil1": {},
"cpfrExitSustainedUtil2": {},
"cpfrExitSustainedUtil3": {},
"cpfrExitTxBandwidth": {},
"cpfrExitTxLoad": {},
"cpfrExitType": {},
"cpfrLearnAggAccesslistName": {},
"cpfrLearnAggregationPrefixLen": {},
"cpfrLearnAggregationType": {},
"cpfrLearnExpireSessionNum": {},
"cpfrLearnExpireTime": {},
"cpfrLearnExpireType": {},
"cpfrLearnFilterAccessListName": {},
"cpfrLearnListAclFilterPfxName": {},
"cpfrLearnListAclName": {},
"cpfrLearnListMethod": {},
"cpfrLearnListNbarAppl": {},
"cpfrLearnListPfxInside": {},
"cpfrLearnListPfxName": {},
"cpfrLearnListReferenceName": {},
"cpfrLearnListRowStatus": {},
"cpfrLearnListSequenceNum": {},
"cpfrLearnListStorageType": {},
"cpfrLearnMethod": {},
"cpfrLearnMonitorPeriod": {},
"cpfrLearnPeriodInterval": {},
"cpfrLearnPrefixesNumber": {},
"cpfrLinkGroupBRIndex": {},
"cpfrLinkGroupExitEntry": {"6": {}, "7": {}},
"cpfrLinkGroupExitIndex": {},
"cpfrLinkGroupRowStatus": {},
"cpfrMCAdminStatus": {},
"cpfrMCConnStatus": {},
"cpfrMCEntranceLinksMaxUtil": {},
"cpfrMCEntry": {"26": {}, "27": {}, "28": {}, "29": {}, "30": {}},
"cpfrMCExitLinksMaxUtil": {},
"cpfrMCKeepAliveTimer": {},
"cpfrMCLearnState": {},
"cpfrMCLearnStateTimeRemain": {},
"cpfrMCMapIndex": {},
"cpfrMCMaxPrefixLearn": {},
"cpfrMCMaxPrefixTotal": {},
"cpfrMCNetflowExporter": {},
"cpfrMCNumofBorderRouters": {},
"cpfrMCNumofExits": {},
"cpfrMCOperStatus": {},
"cpfrMCPbrMet": {},
"cpfrMCPortNumber": {},
"cpfrMCPrefixConfigured": {},
"cpfrMCPrefixCount": {},
"cpfrMCPrefixLearned": {},
"cpfrMCResolveMapPolicyIndex": {},
"cpfrMCResolvePolicyType": {},
"cpfrMCResolvePriority": {},
"cpfrMCResolveRowStatus": {},
"cpfrMCResolveStorageType": {},
"cpfrMCResolveVariance": {},
"cpfrMCRowStatus": {},
"cpfrMCRsvpPostDialDelay": {},
"cpfrMCRsvpSignalingRetries": {},
"cpfrMCStorageType": {},
"cpfrMCTracerouteProbeDelay": {},
"cpfrMapActiveProbeFrequency": {},
"cpfrMapActiveProbePackets": {},
"cpfrMapBackoffMaxTimer": {},
"cpfrMapBackoffMinTimer": {},
"cpfrMapBackoffStepTimer": {},
"cpfrMapDelayRelativePercent": {},
"cpfrMapDelayThresholdMax": {},
"cpfrMapDelayType": {},
"cpfrMapEntry": {"38": {}, "39": {}, "40": {}},
"cpfrMapFallbackLinkGroupName": {},
"cpfrMapHolddownTimer": {},
"cpfrMapJitterThresholdMax": {},
"cpfrMapLinkGroupName": {},
"cpfrMapLossRelativeAvg": {},
"cpfrMapLossThresholdMax": {},
"cpfrMapLossType": {},
"cpfrMapModeMonitor": {},
"cpfrMapModeRouteOpts": {},
"cpfrMapModeSelectExitType": {},
"cpfrMapMossPercentage": {},
"cpfrMapMossThresholdMin": {},
"cpfrMapName": {},
"cpfrMapNextHopAddress": {},
"cpfrMapNextHopAddressType": {},
"cpfrMapPeriodicTimer": {},
"cpfrMapPrefixForwardInterface": {},
"cpfrMapRoundRobinResolver": {},
"cpfrMapRouteMetricBgpLocalPref": {},
"cpfrMapRouteMetricEigrpTagCommunity": {},
"cpfrMapRouteMetricStaticTag": {},
"cpfrMapRowStatus": {},
"cpfrMapStorageType": {},
"cpfrMapTracerouteReporting": {},
"cpfrMapUnreachableRelativeAvg": {},
"cpfrMapUnreachableThresholdMax": {},
"cpfrMapUnreachableType": {},
"cpfrMatchAddrAccessList": {},
"cpfrMatchAddrPrefixInside": {},
"cpfrMatchAddrPrefixList": {},
"cpfrMatchLearnListName": {},
"cpfrMatchLearnMode": {},
"cpfrMatchTCAccessListName": {},
"cpfrMatchTCNbarApplPfxList": {},
"cpfrMatchTCNbarListName": {},
"cpfrMatchValid": {},
"cpfrNbarApplListRowStatus": {},
"cpfrNbarApplListStorageType": {},
"cpfrNbarApplPdIndex": {},
"cpfrResolveMapIndex": {},
"cpfrTCBRExitIndex": {},
"cpfrTCBRIndex": {},
"cpfrTCDscpValue": {},
"cpfrTCDstMaxPort": {},
"cpfrTCDstMinPort": {},
"cpfrTCDstPrefix": {},
"cpfrTCDstPrefixLen": {},
"cpfrTCDstPrefixType": {},
"cpfrTCMActiveLTDelayAvg": {},
"cpfrTCMActiveLTUnreachableAvg": {},
"cpfrTCMActiveSTDelayAvg": {},
"cpfrTCMActiveSTJitterAvg": {},
"cpfrTCMActiveSTUnreachableAvg": {},
"cpfrTCMAge": {},
"cpfrTCMAttempts": {},
"cpfrTCMLastUpdateTime": {},
"cpfrTCMMOSPercentage": {},
"cpfrTCMPackets": {},
"cpfrTCMPassiveLTDelayAvg": {},
"cpfrTCMPassiveLTLossAvg": {},
"cpfrTCMPassiveLTUnreachableAvg": {},
"cpfrTCMPassiveSTDelayAvg": {},
"cpfrTCMPassiveSTLossAvg": {},
"cpfrTCMPassiveSTUnreachableAvg": {},
"cpfrTCMapIndex": {},
"cpfrTCMapPolicyIndex": {},
"cpfrTCMetricsValid": {},
"cpfrTCNbarApplication": {},
"cpfrTCProtocol": {},
"cpfrTCSControlBy": {},
"cpfrTCSControlState": {},
"cpfrTCSLastOOPEventTime": {},
"cpfrTCSLastOOPReason": {},
"cpfrTCSLastRouteChangeEvent": {},
"cpfrTCSLastRouteChangeReason": {},
"cpfrTCSLearnListIndex": {},
"cpfrTCSTimeOnCurrExit": {},
"cpfrTCSTimeRemainCurrState": {},
"cpfrTCSType": {},
"cpfrTCSrcMaxPort": {},
"cpfrTCSrcMinPort": {},
"cpfrTCSrcPrefix": {},
"cpfrTCSrcPrefixLen": {},
"cpfrTCSrcPrefixType": {},
"cpfrTCStatus": {},
"cpfrTrafficClassValid": {},
"cpim": {
"1": {},
"2": {},
"3": {},
"4": {},
"5": {},
"6": {},
"7": {},
"8": {},
"9": {},
},
"cpmCPUHistoryTable.1.2": {},
"cpmCPUHistoryTable.1.3": {},
"cpmCPUHistoryTable.1.4": {},
"cpmCPUHistoryTable.1.5": {},
"cpmCPUProcessHistoryTable.1.2": {},
"cpmCPUProcessHistoryTable.1.3": {},
"cpmCPUProcessHistoryTable.1.4": {},
"cpmCPUProcessHistoryTable.1.5": {},
"cpmCPUThresholdTable.1.2": {},
"cpmCPUThresholdTable.1.3": {},
"cpmCPUThresholdTable.1.4": {},
"cpmCPUThresholdTable.1.5": {},
"cpmCPUThresholdTable.1.6": {},
"cpmCPUTotalTable.1.10": {},
"cpmCPUTotalTable.1.11": {},
"cpmCPUTotalTable.1.12": {},
"cpmCPUTotalTable.1.13": {},
"cpmCPUTotalTable.1.14": {},
"cpmCPUTotalTable.1.15": {},
"cpmCPUTotalTable.1.16": {},
"cpmCPUTotalTable.1.17": {},
"cpmCPUTotalTable.1.18": {},
"cpmCPUTotalTable.1.19": {},
"cpmCPUTotalTable.1.2": {},
"cpmCPUTotalTable.1.20": {},
"cpmCPUTotalTable.1.21": {},
"cpmCPUTotalTable.1.22": {},
"cpmCPUTotalTable.1.23": {},
"cpmCPUTotalTable.1.24": {},
"cpmCPUTotalTable.1.25": {},
"cpmCPUTotalTable.1.26": {},
"cpmCPUTotalTable.1.27": {},
"cpmCPUTotalTable.1.28": {},
"cpmCPUTotalTable.1.29": {},
"cpmCPUTotalTable.1.3": {},
"cpmCPUTotalTable.1.4": {},
"cpmCPUTotalTable.1.5": {},
"cpmCPUTotalTable.1.6": {},
"cpmCPUTotalTable.1.7": {},
"cpmCPUTotalTable.1.8": {},
"cpmCPUTotalTable.1.9": {},
"cpmProcessExtTable.1.1": {},
"cpmProcessExtTable.1.2": {},
"cpmProcessExtTable.1.3": {},
"cpmProcessExtTable.1.4": {},
"cpmProcessExtTable.1.5": {},
"cpmProcessExtTable.1.6": {},
"cpmProcessExtTable.1.7": {},
"cpmProcessExtTable.1.8": {},
"cpmProcessTable.1.1": {},
"cpmProcessTable.1.2": {},
"cpmProcessTable.1.4": {},
"cpmProcessTable.1.5": {},
"cpmProcessTable.1.6": {},
"cpmThreadTable.1.2": {},
"cpmThreadTable.1.3": {},
"cpmThreadTable.1.4": {},
"cpmThreadTable.1.5": {},
"cpmThreadTable.1.6": {},
"cpmThreadTable.1.7": {},
"cpmThreadTable.1.8": {},
"cpmThreadTable.1.9": {},
"cpmVirtualProcessTable.1.10": {},
"cpmVirtualProcessTable.1.11": {},
"cpmVirtualProcessTable.1.12": {},
"cpmVirtualProcessTable.1.13": {},
"cpmVirtualProcessTable.1.2": {},
"cpmVirtualProcessTable.1.3": {},
"cpmVirtualProcessTable.1.4": {},
"cpmVirtualProcessTable.1.5": {},
"cpmVirtualProcessTable.1.6": {},
"cpmVirtualProcessTable.1.7": {},
"cpmVirtualProcessTable.1.8": {},
"cpmVirtualProcessTable.1.9": {},
"cpwAtmAvgCellsPacked": {},
"cpwAtmCellPacking": {},
"cpwAtmCellsReceived": {},
"cpwAtmCellsRejected": {},
"cpwAtmCellsSent": {},
"cpwAtmCellsTagged": {},
"cpwAtmClpQosMapping": {},
"cpwAtmEncap": {},
"cpwAtmHCCellsReceived": {},
"cpwAtmHCCellsRejected": {},
"cpwAtmHCCellsTagged": {},
"cpwAtmIf": {},
"cpwAtmMcptTimeout": {},
"cpwAtmMncp": {},
"cpwAtmOamCellSupported": {},
"cpwAtmPeerMncp": {},
"cpwAtmPktsReceived": {},
"cpwAtmPktsRejected": {},
"cpwAtmPktsSent": {},
"cpwAtmQosScalingFactor": {},
"cpwAtmRowStatus": {},
"cpwAtmVci": {},
"cpwAtmVpi": {},
"cpwVcAdminStatus": {},
"cpwVcControlWord": {},
"cpwVcCreateTime": {},
"cpwVcDescr": {},
"cpwVcHoldingPriority": {},
"cpwVcID": {},
"cpwVcIdMappingVcIndex": {},
"cpwVcInboundMode": {},
"cpwVcInboundOperStatus": {},
"cpwVcInboundVcLabel": {},
"cpwVcIndexNext": {},
"cpwVcLocalGroupID": {},
"cpwVcLocalIfMtu": {},
"cpwVcLocalIfString": {},
"cpwVcMplsEntry": {
"1": {},
"2": {},
"3": {},
"4": {},
"5": {},
"6": {},
"7": {},
"8": {},
},
"cpwVcMplsInboundEntry": {
"2": {},
"3": {},
"4": {},
"5": {},
"6": {},
"7": {},
"8": {},
"9": {},
},
"cpwVcMplsMIB.1.2": {},
"cpwVcMplsMIB.1.4": {},
"cpwVcMplsNonTeMappingEntry": {"4": {}},
"cpwVcMplsOutboundEntry": {
"2": {},
"3": {},
"4": {},
"5": {},
"6": {},
"7": {},
"8": {},
"9": {},
},
"cpwVcMplsTeMappingEntry": {"6": {}},
"cpwVcName": {},
"cpwVcNotifRate": {},
"cpwVcOperStatus": {},
"cpwVcOutboundOperStatus": {},
"cpwVcOutboundVcLabel": {},
"cpwVcOwner": {},
"cpwVcPeerAddr": {},
"cpwVcPeerAddrType": {},
"cpwVcPeerMappingVcIndex": {},
"cpwVcPerfCurrentInHCBytes": {},
"cpwVcPerfCurrentInHCPackets": {},
"cpwVcPerfCurrentOutHCBytes": {},
"cpwVcPerfCurrentOutHCPackets": {},
"cpwVcPerfIntervalInHCBytes": {},
"cpwVcPerfIntervalInHCPackets": {},
"cpwVcPerfIntervalOutHCBytes": {},
"cpwVcPerfIntervalOutHCPackets": {},
"cpwVcPerfIntervalTimeElapsed": {},
"cpwVcPerfIntervalValidData": {},
"cpwVcPerfTotalDiscontinuityTime": {},
"cpwVcPerfTotalErrorPackets": {},
"cpwVcPerfTotalInHCBytes": {},
"cpwVcPerfTotalInHCPackets": {},
"cpwVcPerfTotalOutHCBytes": {},
"cpwVcPerfTotalOutHCPackets": {},
"cpwVcPsnType": {},
"cpwVcRemoteControlWord": {},
"cpwVcRemoteGroupID": {},
"cpwVcRemoteIfMtu": {},
"cpwVcRemoteIfString": {},
"cpwVcRowStatus": {},
"cpwVcSetUpPriority": {},
"cpwVcStorageType": {},
"cpwVcTimeElapsed": {},
"cpwVcType": {},
"cpwVcUpDownNotifEnable": {},
"cpwVcUpTime": {},
"cpwVcValidIntervals": {},
"cqvTerminationPeEncap": {},
"cqvTerminationRowStatus": {},
"cqvTranslationEntry": {"3": {}, "4": {}, "5": {}, "6": {}, "7": {}},
"creAcctClientAverageResponseDelay": {},
"creAcctClientBadAuthenticators": {},
"creAcctClientBufferAllocFailures": {},
"creAcctClientDupIDs": {},
"creAcctClientLastUsedSourceId": {},
"creAcctClientMalformedResponses": {},
"creAcctClientMaxBufferSize": {},
"creAcctClientMaxResponseDelay": {},
"creAcctClientTimeouts": {},
"creAcctClientTotalPacketsWithResponses": {},
"creAcctClientTotalPacketsWithoutResponses": {},
"creAcctClientTotalResponses": {},
"creAcctClientUnknownResponses": {},
"creAuthClientAverageResponseDelay": {},
"creAuthClientBadAuthenticators": {},
"creAuthClientBufferAllocFailures": {},
"creAuthClientDupIDs": {},
"creAuthClientLastUsedSourceId": {},
"creAuthClientMalformedResponses": {},
"creAuthClientMaxBufferSize": {},
"creAuthClientMaxResponseDelay": {},
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"xdsl2PMChCurr15MValidIntervals": {},
"xdsl2PMChCurr1DayCodingViolations": {},
"xdsl2PMChCurr1DayCorrectedBlocks": {},
"xdsl2PMChCurr1DayInvalidIntervals": {},
"xdsl2PMChCurr1DayTimeElapsed": {},
"xdsl2PMChCurr1DayValidIntervals": {},
"xdsl2PMChHist15MCodingViolations": {},
"xdsl2PMChHist15MCorrectedBlocks": {},
"xdsl2PMChHist15MMonitoredTime": {},
"xdsl2PMChHist15MValidInterval": {},
"xdsl2PMChHist1DCodingViolations": {},
"xdsl2PMChHist1DCorrectedBlocks": {},
"xdsl2PMChHist1DMonitoredTime": {},
"xdsl2PMChHist1DValidInterval": {},
"xdsl2PMLCurr15MEs": {},
"xdsl2PMLCurr15MFecs": {},
"xdsl2PMLCurr15MInvalidIntervals": {},
"xdsl2PMLCurr15MLoss": {},
"xdsl2PMLCurr15MSes": {},
"xdsl2PMLCurr15MTimeElapsed": {},
"xdsl2PMLCurr15MUas": {},
"xdsl2PMLCurr15MValidIntervals": {},
"xdsl2PMLCurr1DayEs": {},
"xdsl2PMLCurr1DayFecs": {},
"xdsl2PMLCurr1DayInvalidIntervals": {},
"xdsl2PMLCurr1DayLoss": {},
"xdsl2PMLCurr1DaySes": {},
"xdsl2PMLCurr1DayTimeElapsed": {},
"xdsl2PMLCurr1DayUas": {},
"xdsl2PMLCurr1DayValidIntervals": {},
"xdsl2PMLHist15MEs": {},
"xdsl2PMLHist15MFecs": {},
"xdsl2PMLHist15MLoss": {},
"xdsl2PMLHist15MMonitoredTime": {},
"xdsl2PMLHist15MSes": {},
"xdsl2PMLHist15MUas": {},
"xdsl2PMLHist15MValidInterval": {},
"xdsl2PMLHist1DEs": {},
"xdsl2PMLHist1DFecs": {},
"xdsl2PMLHist1DLoss": {},
"xdsl2PMLHist1DMonitoredTime": {},
"xdsl2PMLHist1DSes": {},
"xdsl2PMLHist1DUas": {},
"xdsl2PMLHist1DValidInterval": {},
"xdsl2PMLInitCurr15MFailedFullInits": {},
"xdsl2PMLInitCurr15MFailedShortInits": {},
"xdsl2PMLInitCurr15MFullInits": {},
"xdsl2PMLInitCurr15MInvalidIntervals": {},
"xdsl2PMLInitCurr15MShortInits": {},
"xdsl2PMLInitCurr15MTimeElapsed": {},
"xdsl2PMLInitCurr15MValidIntervals": {},
"xdsl2PMLInitCurr1DayFailedFullInits": {},
"xdsl2PMLInitCurr1DayFailedShortInits": {},
"xdsl2PMLInitCurr1DayFullInits": {},
"xdsl2PMLInitCurr1DayInvalidIntervals": {},
"xdsl2PMLInitCurr1DayShortInits": {},
"xdsl2PMLInitCurr1DayTimeElapsed": {},
"xdsl2PMLInitCurr1DayValidIntervals": {},
"xdsl2PMLInitHist15MFailedFullInits": {},
"xdsl2PMLInitHist15MFailedShortInits": {},
"xdsl2PMLInitHist15MFullInits": {},
"xdsl2PMLInitHist15MMonitoredTime": {},
"xdsl2PMLInitHist15MShortInits": {},
"xdsl2PMLInitHist15MValidInterval": {},
"xdsl2PMLInitHist1DFailedFullInits": {},
"xdsl2PMLInitHist1DFailedShortInits": {},
"xdsl2PMLInitHist1DFullInits": {},
"xdsl2PMLInitHist1DMonitoredTime": {},
"xdsl2PMLInitHist1DShortInits": {},
"xdsl2PMLInitHist1DValidInterval": {},
"xdsl2SCStatusAttainableRate": {},
"xdsl2SCStatusBandLnAtten": {},
"xdsl2SCStatusBandSigAtten": {},
"xdsl2SCStatusLinScGroupSize": {},
"xdsl2SCStatusLinScale": {},
"xdsl2SCStatusLogMt": {},
"xdsl2SCStatusLogScGroupSize": {},
"xdsl2SCStatusQlnMt": {},
"xdsl2SCStatusQlnScGroupSize": {},
"xdsl2SCStatusRowStatus": {},
"xdsl2SCStatusSegmentBitsAlloc": {},
"xdsl2SCStatusSegmentGainAlloc": {},
"xdsl2SCStatusSegmentLinImg": {},
"xdsl2SCStatusSegmentLinReal": {},
"xdsl2SCStatusSegmentLog": {},
"xdsl2SCStatusSegmentQln": {},
"xdsl2SCStatusSegmentSnr": {},
"xdsl2SCStatusSnrMtime": {},
"xdsl2SCStatusSnrScGroupSize": {},
"xdsl2ScalarSCAvailInterfaces": {},
"xdsl2ScalarSCMaxInterfaces": {},
"zipEntry": {"1": {}, "2": {}, "3": {}, "4": {}, "5": {}},
}
| 30.561022 | 88 | 0.533279 | 19,734 | 400,655 | 10.826999 | 0.381778 | 0.004222 | 0.004521 | 0.005242 | 0.085407 | 0.058762 | 0.03778 | 0.032819 | 0.025428 | 0.023851 | 0 | 0.058165 | 0.242578 | 400,655 | 13,109 | 89 | 30.563353 | 0.645903 | 0 | 0 | 0.315966 | 0 | 0 | 0.547324 | 0.434636 | 0 | 0 | 0 | 0 | 0.001449 | 1 | 0 | false | 0.001983 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
c6f0d7b5f1db77901cb1482e2883fe1e90374169 | 716 | py | Python | apps/demo/models.py | blackmatrix7/apizen-tornado | d8432c5389dc0392410081879e24eaa3ff4d589c | [
"Apache-2.0"
] | null | null | null | apps/demo/models.py | blackmatrix7/apizen-tornado | d8432c5389dc0392410081879e24eaa3ff4d589c | [
"Apache-2.0"
] | null | null | null | apps/demo/models.py | blackmatrix7/apizen-tornado | d8432c5389dc0392410081879e24eaa3ff4d589c | [
"Apache-2.0"
] | 1 | 2017-07-11T07:41:01.000Z | 2017-07-11T07:41:01.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2017/11/8 下午1:53
# @Author : Matrix
# @Github : https://github.com/blackmatrix7/
# @Blog : http://www.cnblogs.com/blackmatrix/
# @File : models.py
# @Software: PyCharm
from tornsql.model import ModelBase
from sqlalchemy import Column, String, Text
__author__ = 'blackmatrix'
class Article(ModelBase):
__tablename__ = 'article'
__database__ = 'demo'
title = Column(String(40), nullable=True)
content = Column(Text, nullable=True)
class Logs(ModelBase):
__tablename__ = 'logs'
__database__ = 'logs'
name = Column(String(40), nullable=True)
remark = Column(String(40), nullable=True)
if __name__ == '__main__':
pass
| 20.457143 | 46 | 0.675978 | 85 | 716 | 5.364706 | 0.623529 | 0.105263 | 0.092105 | 0.144737 | 0.171053 | 0 | 0 | 0 | 0 | 0 | 0 | 0.030612 | 0.178771 | 716 | 34 | 47 | 21.058824 | 0.744898 | 0.290503 | 0 | 0 | 0 | 0 | 0.076 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.066667 | 0.133333 | 0 | 0.8 | 0 | 0 | 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 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 |
c6f25530da9f38212added7c3b51cf0afb508138 | 212 | py | Python | Mundo 1/ArquivosComCores/File 012.py | PedroHenriqueSimoes/Exercicios-Python | 702a819d508dd7878b88fb676559d899237ac761 | [
"MIT"
] | 1 | 2020-04-30T21:32:01.000Z | 2020-04-30T21:32:01.000Z | Mundo 1/ArquivosComCores/File 012.py | PedroHenriqueSimoes/Exercicios-Python | 702a819d508dd7878b88fb676559d899237ac761 | [
"MIT"
] | 1 | 2021-10-05T02:00:04.000Z | 2021-10-05T02:00:04.000Z | Mundo 1/ArquivosComCores/File 012.py | PedroHenriqueSimoes/Exercicios-Python | 702a819d508dd7878b88fb676559d899237ac761 | [
"MIT"
] | null | null | null | preco = (float(input('\033[33mDigite o valor do produto: \033[m')))
print("""O\033[32m produto que custava {:.2f} com 5 por cento de desconto
ira valer {:.2f}\033[m""".format(preco, preco - ((5 / preco) * 100))) | 70.666667 | 73 | 0.650943 | 36 | 212 | 3.833333 | 0.694444 | 0.057971 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.125683 | 0.136792 | 212 | 3 | 74 | 70.666667 | 0.628415 | 0 | 0 | 0 | 0 | 0 | 0.605634 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.333333 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
05a838aad8dd02cb3641d6c0e1f3e71ac836ce34 | 351 | py | Python | archive/Tensorflow-101/ep4-multi-indexing.py | IncredibleDevHQ/incredible-dev-videos | 38d5b3d85fd21b8ec8043b90312b500da398d9f9 | [
"MIT"
] | 2 | 2021-02-23T15:33:34.000Z | 2021-03-09T06:59:02.000Z | archive/Tensorflow-101/ep4-multi-indexing.py | IncredibleDevHQ/incredible-dev-videos | 38d5b3d85fd21b8ec8043b90312b500da398d9f9 | [
"MIT"
] | null | null | null | archive/Tensorflow-101/ep4-multi-indexing.py | IncredibleDevHQ/incredible-dev-videos | 38d5b3d85fd21b8ec8043b90312b500da398d9f9 | [
"MIT"
] | 2 | 2021-03-09T06:20:28.000Z | 2021-03-18T10:47:11.000Z | # Multi Indexing a Tensor
import tensorflow as tf
rank_2 = tf.constant(
[[1, 2],[3, 4],[5, 6]], dtype=tf.float16)
print(rank_2[1, 1].numpy())
# 4.0
print("Second row:", rank_2[1, :].numpy())
# Second row: [3. 4.]
print("Second column:", rank_2[:, 1].numpy())
# Second column: [2. 4. 6.]
# Skip first row :
rank_2[1:, :].numpy()
# [[3. 4.] [5. 6.]] | 20.647059 | 45 | 0.584046 | 63 | 351 | 3.174603 | 0.412698 | 0.125 | 0.12 | 0.165 | 0.255 | 0 | 0 | 0 | 0 | 0 | 0 | 0.097973 | 0.156695 | 351 | 17 | 46 | 20.647059 | 0.577703 | 0.307692 | 0 | 0 | 0 | 0 | 0.105485 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 0.428571 | 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 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 |
05af71442e505371cf18e4fcfc9ba3e40a114e71 | 2,236 | py | Python | tests/playerActionTests.py | Capocane/keyforge-simulator | ae262940705b323fe3c86a5aa0b9480994fddf9a | [
"MIT"
] | null | null | null | tests/playerActionTests.py | Capocane/keyforge-simulator | ae262940705b323fe3c86a5aa0b9480994fddf9a | [
"MIT"
] | null | null | null | tests/playerActionTests.py | Capocane/keyforge-simulator | ae262940705b323fe3c86a5aa0b9480994fddf9a | [
"MIT"
] | null | null | null | from tests.keyforgeTest import *
class PlayCardsTest(KeyforgeTest):
def test_playCardWithAmberBonus_gainAmber(self):
card = Action(TEST_HOUSE, 1)
self.set_active_player_state(hand=[card], activeHouse = TEST_HOUSE)
self.player.play_card(card)
self.assertEqual(self.player.get_amber(), 1)
def test_playCardOfInactiveHouse_raisesError(self):
card = Action(OTHER_HOUSE)
with self.assertRaises(ValueError):
self.player.play_card(card)
def test_playAction_cardGoesToDiscard(self):
card = Action(TEST_HOUSE)
self.set_active_player_state(hand=[card], activeHouse = TEST_HOUSE)
self.player.play_card(card)
self.assertIn(card, self.player.get_discard())
def test_playArtifact_isInPlay(self):
card = Artifact(TEST_HOUSE)
self.set_active_player_state(hand=[card], activeHouse = TEST_HOUSE)
self.player.play_card(card)
self.assertIn(card, self.player.state.artifacts)
def test_playCreature_isOnBattleline(self):
card = Creature(TEST_HOUSE)
self.set_active_player_state(hand=[card], activeHouse = TEST_HOUSE)
self.player.play_card(card, leftFlank=True)
self.assertIn(card, self.player.state.battleline.get_all())
@unittest.skip("Haven't decided how to implement upgrades.")
def test_playUpgrade_isAttachedToCreature(self):
pass
class DamageTest(KeyforgeTest):
def setUp(self):
super().setUp()
self.player.state.battleline.add(self.creature, leftFlank=True)
def test_damageCreatureEqualToPower_creatureIsRemovedFromBattleline(self):
self.player.damage(self.creature, self.creature.power)
self.assertNotIn(self.creature, self.player.state.battleline)
def test_damageCreatureEqualToPower_creatureIsMovedToDiscard(self):
self.player.damage(self.creature, self.creature.power)
self.assertIn(self.creature, self.player.state.discard)
def test_damamageCreatureNotOnBattleline_raisesExcepiton(self):
#TODO right exception?
with self.assertRaises(ValueError):
self.player.damage(Creature(TEST_HOUSE), 1)
| 41.407407 | 79 | 0.701252 | 247 | 2,236 | 6.153846 | 0.295547 | 0.098684 | 0.059868 | 0.059211 | 0.463158 | 0.395395 | 0.319079 | 0.319079 | 0.319079 | 0.319079 | 0 | 0.001685 | 0.203936 | 2,236 | 53 | 80 | 42.188679 | 0.852247 | 0.009392 | 0 | 0.285714 | 0 | 0 | 0.019435 | 0 | 0 | 0 | 0 | 0.018868 | 0.190476 | 1 | 0.238095 | false | 0.02381 | 0.02381 | 0 | 0.309524 | 0 | 0 | 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 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
05b268ed450b275267b59561058505b1c76cc908 | 1,307 | py | Python | core/tests/unittests/models/test_bagged_ensemble_model.py | daobook/autogluon | 7309118f2ab1c9519f25acf61a283a95af95842b | [
"Apache-2.0"
] | 1 | 2022-02-19T13:22:26.000Z | 2022-02-19T13:22:26.000Z | core/tests/unittests/models/test_bagged_ensemble_model.py | daobook/autogluon | 7309118f2ab1c9519f25acf61a283a95af95842b | [
"Apache-2.0"
] | 3 | 2021-12-30T20:28:01.000Z | 2022-02-09T20:19:21.000Z | core/tests/unittests/models/test_bagged_ensemble_model.py | engsarah365/autogluon | bdbaac2d13d14d075b7aa751561f0bbd39927789 | [
"Apache-2.0"
] | null | null | null |
import pandas as pd
from autogluon.core.models import BaggedEnsembleModel
from autogluon.core.utils.utils import CVSplitter
def test_generate_fold_configs():
y = pd.Series([0, 0, 0, 1, 1, 1, 1, 1])
X = pd.DataFrame([[0], [0], [0], [0], [0], [0], [0], [0]])
k_fold_start = 2
k_fold_end = 1
k_fold = 3
n_repeat_start = 2
n_repeats = 5
cv_splitter = CVSplitter(n_splits=k_fold, n_repeats=n_repeats, stratified=True, random_state=0)
fold_fit_args_list, n_repeats_started, n_repeats_finished = BaggedEnsembleModel._generate_fold_configs(
X=X,
y=y,
cv_splitter=cv_splitter,
k_fold_start=k_fold_start,
k_fold_end=k_fold_end,
n_repeat_start=n_repeat_start,
n_repeat_end=n_repeats,
)
assert fold_fit_args_list[0]['model_name_suffix'] == 'S3F3'
assert fold_fit_args_list[-1]['model_name_suffix'] == 'S5F1'
assert len(fold_fit_args_list) == 5
assert n_repeats_started == 2
assert n_repeats_finished == 2
assert fold_fit_args_list[0]['is_last_fold'] is False
assert fold_fit_args_list[1]['is_last_fold'] is False
assert fold_fit_args_list[2]['is_last_fold'] is False
assert fold_fit_args_list[3]['is_last_fold'] is False
assert fold_fit_args_list[4]['is_last_fold'] is True
| 31.878049 | 107 | 0.696251 | 215 | 1,307 | 3.832558 | 0.251163 | 0.021845 | 0.120146 | 0.163835 | 0.343447 | 0.275485 | 0.194175 | 0.184466 | 0.184466 | 0.184466 | 0 | 0.034156 | 0.193573 | 1,307 | 40 | 108 | 32.675 | 0.747628 | 0 | 0 | 0 | 1 | 0 | 0.078101 | 0 | 0 | 0 | 0 | 0 | 0.322581 | 1 | 0.032258 | false | 0 | 0.096774 | 0 | 0.129032 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
05cd67f89fd379dde735db0a5383057c3af67f82 | 446 | py | Python | geolib/models/dsheetpiling/water_level.py | Deltares/geolib | d38aab35a034e977bb7684322395458986bda059 | [
"MIT"
] | 4 | 2021-10-29T21:30:47.000Z | 2022-03-18T13:15:17.000Z | geolib/models/dsheetpiling/water_level.py | cemsbv/GEOLib | 54de109460a836caed51f0f26974a51f39edcfa3 | [
"MIT"
] | 3 | 2021-11-05T07:56:16.000Z | 2022-03-27T13:27:05.000Z | geolib/models/dsheetpiling/water_level.py | cemsbv/GEOLib | 54de109460a836caed51f0f26974a51f39edcfa3 | [
"MIT"
] | 4 | 2021-10-29T21:30:51.000Z | 2022-01-17T13:20:40.000Z | from typing import Optional
from geolib.models import BaseDataClass
from .internal import WaterLevel as InternalWaterLevel
from .settings import DistributionType
class WaterLevel(BaseDataClass):
name: str
level: float
distribution_type: DistributionType = DistributionType.NONE
standard_deviation: float = 0.0
def to_internal(self) -> InternalWaterLevel:
return InternalWaterLevel(**self.dict(exclude_none=True))
| 26.235294 | 65 | 0.780269 | 48 | 446 | 7.166667 | 0.645833 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005333 | 0.159193 | 446 | 16 | 66 | 27.875 | 0.912 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.363636 | 0.090909 | 1 | 0 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
05df14ede04670d4837727b5c2c89bc70358e690 | 269 | py | Python | qulab/cli/notebook.py | feihoo87/QuLab | cc16f4777e5523fca327f7f0a9725fd13f9b057f | [
"MIT"
] | 16 | 2018-03-16T12:08:31.000Z | 2022-03-20T08:53:35.000Z | qulab/cli/notebook.py | Lagikna/QuLab | 417111cffd3941b4a581ebf80066863e78476f0a | [
"MIT"
] | 148 | 2018-03-18T09:33:18.000Z | 2022-03-21T16:00:15.000Z | qulab/cli/notebook.py | feihoo87/QuLab | cc16f4777e5523fca327f7f0a9725fd13f9b057f | [
"MIT"
] | 14 | 2018-03-18T08:00:12.000Z | 2020-10-21T12:39:42.000Z | import re
import sys
from notebook.notebookapp import main
from qulab.utils import ShutdownBlocker
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
with ShutdownBlocker('jupyter-notebook'):
sys.exit(main())
| 24.454545 | 69 | 0.67658 | 36 | 269 | 4.833333 | 0.611111 | 0.08046 | 0.091954 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008811 | 0.156134 | 269 | 10 | 70 | 26.9 | 0.757709 | 0 | 0 | 0 | 0 | 0 | 0.174721 | 0.085502 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0 | 0 | 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 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
05e83ff4d571b082a165fd35efe26c1bee8f7641 | 1,981 | py | Python | prequ/repositories/base.py | wgarlock/prelaunch | 827b4520441fce537c4618421a3e815c933ab907 | [
"BSD-2-Clause"
] | 13 | 2017-06-15T07:35:39.000Z | 2020-08-06T13:25:47.000Z | prequ/repositories/base.py | suutari-ai/pip-requ | 93adbd63691cff1003cdc88868b20b2ad0c766cc | [
"BSD-2-Clause"
] | 28 | 2017-06-18T12:02:50.000Z | 2020-02-19T08:26:36.000Z | prequ/repositories/base.py | suutari-ai/pip-requ | 93adbd63691cff1003cdc88868b20b2ad0c766cc | [
"BSD-2-Clause"
] | 4 | 2018-04-28T11:14:51.000Z | 2020-12-27T16:01:16.000Z | # coding: utf-8
from __future__ import (
absolute_import, division, print_function, unicode_literals)
from abc import ABCMeta, abstractmethod
from ..utils import is_pinned_requirement
try:
from abc import ABC
except ImportError:
class ABC(object):
__metaclass__ = ABCMeta
class BaseRepository(ABC):
def clear_caches(self):
"""Should clear any caches used by the implementation."""
def freshen_build_caches(self):
"""Should start with fresh build/source caches."""
@abstractmethod
def find_best_match(self, ireq):
"""
Return a Version object that indicates the best match for the given
InstallRequirement according to the repository.
"""
def get_dependencies(self, ireq):
"""
Given a pinned or an editable InstallRequirement, returns a set of
dependencies (also InstallRequirements, but not necessarily pinned).
They indicate the secondary dependencies for the given requirement.
"""
if not (ireq.editable or is_pinned_requirement(ireq)):
raise TypeError('Expected pinned or editable InstallRequirement, got {}'.format(ireq))
return self._get_dependencies(ireq)
def prepare_ireq(self, ireq):
"""
Prepare install requirement for requirement analysis.
Downloads and unpacks the sources to get the egg_info etc.
Note: For URLs or local paths even key_from_ireq(ireq) might
fail before this is done.
:type ireq: pip.req.InstallRequirement
"""
self._get_dependencies(ireq)
@abstractmethod
def _get_dependencies(self, ireq):
pass
@abstractmethod
def get_hashes(self, ireq):
"""
Given a pinned InstallRequire, returns a set of hashes that represent
all of the files for a given requirement. It is not acceptable for an
editable or unpinned requirement to be passed to this function.
"""
| 30.953125 | 98 | 0.677436 | 239 | 1,981 | 5.481172 | 0.476987 | 0.030534 | 0.019847 | 0.033588 | 0.064122 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000679 | 0.256941 | 1,981 | 63 | 99 | 31.444444 | 0.889266 | 0.442201 | 0 | 0.12 | 0 | 0 | 0.058065 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.28 | false | 0.04 | 0.24 | 0 | 0.68 | 0.04 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
05efe322ac9655e3a89c9428a69f9b2bebab2f1d | 1,795 | pyw | Python | JPS_ARBITRAGE/python/caresjpsarbitrage/print_headers.pyw | mdhillmancmcl/TheWorldAvatar-CMCL-Fork | 011aee78c016b76762eaf511c78fabe3f98189f4 | [
"MIT"
] | 21 | 2021-03-08T01:58:25.000Z | 2022-03-09T15:46:16.000Z | JPS_ARBITRAGE/python/caresjpsarbitrage/print_headers.pyw | mdhillmancmcl/TheWorldAvatar-CMCL-Fork | 011aee78c016b76762eaf511c78fabe3f98189f4 | [
"MIT"
] | 63 | 2021-05-04T15:05:30.000Z | 2022-03-23T14:32:29.000Z | JPS_ARBITRAGE/python/caresjpsarbitrage/print_headers.pyw | mdhillmancmcl/TheWorldAvatar-CMCL-Fork | 011aee78c016b76762eaf511c78fabe3f98189f4 | [
"MIT"
] | 15 | 2021-03-08T07:52:03.000Z | 2022-03-29T04:46:20.000Z |
def print_headers():
headers = [
"V_energyF_Electricity_001,",
"V_Costs_Transport_USGC-NEA_NaturalGas_001,",
"V_Costs_MediumPressureSteam_001,",
"V_Costs_CoolingWater_001,",
"V_massF_BiodieselOutput_001,",
"V_Costs_Transport_SG-SC_Methanol_001,",
"V_Price_Storage_NaturalGas_001,",
"V_Price_CoolingWater_001,",
"V_Price_Storage_Biodiesel_001,",
"V_Price_Storage_CrudePalmOil_001,",
"V_Costs_Storage_CrudePalmOil_001,",
"V_Earnings_MethanolOutput_001,",
"V_Price_Storage_Methanol_001,",
"V_massF_HighPressureSteam_001,",
"V_Costs_NaturalGasInput_001,",
"V_Price_Transport_Malaysia-SG_CrudePalmOil_001,",
"V_Price_Electricity_001,",
"V_Costs_CrudePalmOilInput_001,",
"V_massF_LowPressureSteam_001,",
"V_Costs_Storage_Biodiesel_001,",
"V_massF_MethanolOutput_001,",
"V_Price_Transport_SG-SC_Methanol_001,",
"V_moleF_FuelGas_001,",
"V_massF_NaturalGasInput_001,",
"V_Costs_HighPressureSteam_001,",
"V_USD_to_SGD,",
"V_Costs_Transport_Malaysia-SG_CrudePalmOil_001,",
"V_Price_ProcessWater_001,",
"V_Price_Transport_USGC-NEA_NaturalGas_001,",
"V_Costs_Storage_Methanol_001,",
"V_massF_MediumPressureSteam_001,",
"V_Price_HighPressureSteam_001,",
"V_Earnings_BiodieselOutput_001,",
"V_massF_CoolingWater_001,",
"V_USD_to_CNY,",
"V_Costs_LowPressureSteam_001,",
"V_Costs_FuelGas_001,",
"V_massF_CrudePalmOilInput_001,",
"V_Price_MediumPressureSteam_001,",
"V_Costs_Storage_NaturalGas_001,",
"V_Price_LowPressureSteam_001,",
"V_Price_Transport_SEA-SC_Biodiesel_001,",
"V_massF_ProcessWater_001,",
"V_Price_FuelGas_001,",
"V_Costs_Electricity_001,",
"V_Costs_Transport_SEA-SC_Biodiesel_001,",
"V_Costs_ProcessWater_001"
]
string =""
for element in headers:
string = string + element
print(string)
if __name__ == "__main__":
print_headers()
| 27.615385 | 51 | 0.805014 | 239 | 1,795 | 5.313808 | 0.188285 | 0.138583 | 0.106299 | 0.050394 | 0.310236 | 0.2 | 0.11811 | 0 | 0 | 0 | 0 | 0.081325 | 0.075209 | 1,795 | 64 | 52 | 28.046875 | 0.683735 | 0 | 0 | 0 | 0 | 0 | 0.779699 | 0.727273 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017857 | false | 0 | 0 | 0 | 0.017857 | 0.053571 | 0 | 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 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
af05d937140a7bc5ed632acfa6f9cf5e4f0617a4 | 56 | py | Python | submissions/diverta2019/a.py | m-star18/atcoder | 08e475810516602fa088f87daf1eba590b4e07cc | [
"Unlicense"
] | 1 | 2021-05-10T01:16:28.000Z | 2021-05-10T01:16:28.000Z | submissions/diverta2019/a.py | m-star18/atcoder | 08e475810516602fa088f87daf1eba590b4e07cc | [
"Unlicense"
] | 3 | 2021-05-11T06:14:15.000Z | 2021-06-19T08:18:36.000Z | submissions/diverta2019/a.py | m-star18/atcoder | 08e475810516602fa088f87daf1eba590b4e07cc | [
"Unlicense"
] | null | null | null | n, k = map(int, input().split())
ans = n-k+1
print(ans)
| 14 | 32 | 0.571429 | 12 | 56 | 2.666667 | 0.75 | 0.125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.021277 | 0.160714 | 56 | 3 | 33 | 18.666667 | 0.659574 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
af07ca71bc897b36040b02ca45bf4be25934566d | 269 | py | Python | log/urls.py | deep2696/DBMS_Website | 849d0bd509e56d35c138fa6f410d693175523aa4 | [
"MIT"
] | null | null | null | log/urls.py | deep2696/DBMS_Website | 849d0bd509e56d35c138fa6f410d693175523aa4 | [
"MIT"
] | 1 | 2020-06-05T18:16:00.000Z | 2020-06-05T18:16:00.000Z | log/urls.py | deep2696/DBMS_Website | 849d0bd509e56d35c138fa6f410d693175523aa4 | [
"MIT"
] | 2 | 2018-10-24T13:06:00.000Z | 2018-10-31T15:52:01.000Z | from django.conf.urls import url, include
from . import views
from django.contrib.auth import views as auth_views
app_name = 'log'
urlpatterns = [
url(r'^login/$', views.login_view, name='login_url'),
url(r'^logout/$', views.logout_view, name='logout_url'),
]
| 26.9 | 60 | 0.713755 | 41 | 269 | 4.536585 | 0.463415 | 0.107527 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.137546 | 269 | 9 | 61 | 29.888889 | 0.801724 | 0 | 0 | 0 | 0 | 0 | 0.144981 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.375 | 0 | 0.375 | 0 | 0 | 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 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
af0b6fe564278c898bbc8ad18ad8f8d7dcf8139c | 324 | py | Python | 7.py | Polar1ty/euler_problems | bc1cd917d95d1b63b80a0b182dbd5e9f90a95d90 | [
"MIT"
] | 2 | 2020-06-09T10:35:12.000Z | 2020-06-09T11:32:16.000Z | 7.py | Polar1ty/euler_problems | bc1cd917d95d1b63b80a0b182dbd5e9f90a95d90 | [
"MIT"
] | null | null | null | 7.py | Polar1ty/euler_problems | bc1cd917d95d1b63b80a0b182dbd5e9f90a95d90 | [
"MIT"
] | null | null | null | i = 3
shit_indicator = 0
simple_nums = [2]
while len(simple_nums) < 10001:
for k in range(2, i):
if i % k == 0:
shit_indicator = 1
break
if shit_indicator == 1:
pass
else:
simple_nums.append(i)
i += 1
shit_indicator = 0
print(simple_nums[-1]) | 21.6 | 32 | 0.518519 | 46 | 324 | 3.478261 | 0.478261 | 0.325 | 0.175 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.074627 | 0.37963 | 324 | 15 | 33 | 21.6 | 0.721393 | 0 | 0 | 0.133333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.066667 | 0 | 0 | 0 | 0.066667 | 0 | 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 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
af14b1f1dcd1dc691596199a1ecfddf6966633cd | 53,793 | py | Python | stats/simplestats.py | WPPlugins/simple-flash-video | dde9a0daf682895de6fe49a959d7794cec236fd4 | [
"BSD-Source-Code"
] | null | null | null | stats/simplestats.py | WPPlugins/simple-flash-video | dde9a0daf682895de6fe49a959d7794cec236fd4 | [
"BSD-Source-Code"
] | null | null | null | stats/simplestats.py | WPPlugins/simple-flash-video | dde9a0daf682895de6fe49a959d7794cec236fd4 | [
"BSD-Source-Code"
] | null | null | null | #!/usr/bin/env python
"""
Simple Stats
============
Generate statistics for the JW FLV player and provide nice graphs and tables
using Open Flash Chart and XHTML.
http://www.simplethoughtproductions.com/simple-stats/
Usage
-----
simplestats.py --summary myfile.log
simplestats.py --query=192.168.0.1 myfile.log
simplestats.py --query=/videos/myvideo.flv myfile.log
These commands will generate the following, which can then be opened by
a browser or included via PHP or another server-side language into a
stats interface:
output/logfilename.html
output/192.168.0.1.html
output/_videos_myvideo.flv.html
Contributers
------------
Daniel G. Taylor <dan@programmer-art.org>
Josh Chesarek <josh@simplethoughtproductions.com>
License
-------
Copyright 2008 Daniel G. Taylor
Released under the Creative Commons Attribution Noncommercial Share Alike
license. For more information please see the following:
http://creativecommons.org/licenses/by-nc-sa/3.0/
This work is NOT licensed for commercial use. If you use it to manage stats
on a commercial site, or provide stats information to customers through the
use of this script, then you must buy a commercial license. Commercial
licenses are affordable, simple to obtain, and help provide further
development of Simple Stats. Please see the following:
http://www.simplethoughtproductions.com/simple-stats-licensing/
"""
import cPickle
import os
import os.path
import re
import sys
from OpenFlashChart import graph, graph_object
from optparse import OptionParser
from urllib import quote
from urlparse import urlsplit
# ==============================================================================
# Settings go here!
# ==============================================================================
# The maximum number of items to show in a graph (along the x-axis)
GRAPH_ITEMS_MAX = 10
# The maximum length of names along the x-axis
GRAPH_MAX_LABEL_LENGTH = 25
# The maximum number of items to show in the detail tables
MAX_FILES_DETAILED = 25
MAX_IPS_DETAILED = 25
MAX_REFERERS_DETAILED = 25
# Graph dimensions
GRAPH_WIDTH = 720
GRAPH_HEIGHT = 400
# Colors
GRAPH_BACKGROUND_COLOR = "#ffffff"
GRAPH_TITLE_COLOR = "#000000"
GRAPH_GRID_COLOR = "#cccccc"
GRAPH_LABEL_COLOR = "#222222"
GRAPH_BAR_OPACITY = 75
GRAPH_TOTAL_HITS_COLOR = "#1996dc"
GRAPH_UNIQUE_HITS_COLOR = "#ab19dc"
GRAPH_ELAPSED_COLOR = "#33cc11"
GRAPH_PERCENT_COLOR = "#c49316"
GRAPH_IP_COLOR = "#993322"
#GRAPH_REFERER_COLOR = "#b5e92b"
GRAPH_POPULARITY_COLOR = "#b5e92b"
# The precision at which to map popularity within a specific file
# The default is 10 and is precise to 1/10th of the file.
FILE_POPULARITY_PRECISION = 10
# ==============================================================================
# Internal stuff you probably don't want to mess with!
# ==============================================================================
VERSION = open("VERSION").read().strip()
# States
STATE_NONE = 0
STATE_BUFFERING = 1
STATE_PLAYING = 2
STATE_FINISHED = 3
# ==============================================================================
# Python 2.3.x doesn't support sets, so define a function to return a set!
if not hasattr(__builtins__, "set"):
def set(lst):
"""
Return a set (list of unique objects) from a list.
"""
s = []
for item in lst:
if item not in s:
s.append(item)
return s
# ==============================================================================
class State(object):
"""
An object representing a state at a specific point in time.
"""
def __init__(self, state, pos, seconds):
"""
Store the state and number of seconds at which this state was
activated.
"""
self.type = int(state)
self.pos = int(pos)
self.seconds = int(seconds)
def __repr__(self):
"""
Return a friendly representation of this State object, for use e.g.
inside the Python interactive interpreter.
"""
return "<State: " + str(self.type) + ", " + str(self.pos) + ", " + \
str(self.seconds) + ">"
class Stat(object):
"""
An object representing a single statistic from the log file.
"""
def __init__(self, filename=""):
"""
Set sane defaults so that items aren't missing when they are not
part of the log file.
"""
self.title = ""
self.filename = filename
self.ip = ""
self.agent = ""
self.referer = ""
self.hits = 0
self.elapsed = 0
self.duration = 0
self.client = ""
self.version = ""
def __repr__(self):
"""
Return a friendly representation of this Stat object, for use e.g.
inside the Python interactive interpreter.
"""
return "<Stat: " + ", ".join([str(key) + "=" + \
str(self.__dict__[key]) for key in self.__dict__]) + ">"
def get_popularity(self):
"""
We are given a list of States
[ <State: 0, 0, 0>,
<State: 1, 0, 0>,
<State: 2, 0, 2>,
<State: 1, 15, 17>,
<State: 2, 15, 21>,
<State: 1, 25, 31> ]
And we need to turn this into a mapping
The mapping is split into X pieces where each piece counts as
viewed iff a piece of the video was played within the region of
length duration / X.
For the example above, say the duration is 40 seconds. Say we
want X = 10 (popularity for each 10th of the video). We can see
that the viewer left while stuck buffering at 25 seconds into
the video, so we can see the end was not watched.
The mapping would look like (where each value represents
40 / 10 = 4 seconds, so the first True is for 0 to 4 seconds,
the second for 5 to 8 seconds, and so on):
watched = [1, 1, 1, 1, 1, 1, 0, 0, 0, 0]
This counts as a view for seconds 0 to 28 and no view for
seconds 29 - 40.
"""
if not self.duration or not self.states:
return []
precision = max(1, self.duration / FILE_POPULARITY_PRECISION)
popularity = [0 for x in range(100 / FILE_POPULARITY_PRECISION)]
last_state = None
last_end = -1
playing = False
for state in self.states:
if not playing and state.type == STATE_PLAYING:
playing = True
last_state = state
elif playing and state.type != STATE_PLAYING:
playing = False
start = last_state.pos / precision
if start == last_end:
start += 1
if last_state.pos < state.pos:
end = (state.pos / precision)
else:
end = (last_state.pos + (last_state.seconds - \
state.seconds)) / precision
if end >= len(popularity):
end = len(popularity) - 1
for x in range(start, end + 1):
try:
popularity[x] += 1
except Exception, e:
pass
last_end = end
if playing:
start = (state.pos / precision)
end = ((state.pos + self.elapsed - state.seconds) / precision)
if end >= len(popularity):
end = len(popularity) - 1
for x in range(start, end + 1):
try:
popularity[x] += 1
except Exception, e:
pass
return popularity
def get_buffer_time(self):
"""
We are given a list of states
[ <State: 0, 0, 0>,
<State: 1, 0, 0>,
<State: 2, 0, 2>,
<State: 1, 15, 17>,
<State: 2, 15, 21>,
<State: 1, 25, 31> ]
The buffering time can be calculated as the difference
between state 1 -> state 2 in real time. For the example above
we see that the time spent buffering was:
buffered = (2 - 0) + (21 - 17) = 6 seconds
"""
if not self.duration or not self.states:
return -1
buffer_time = 0
buffering = True
last_state = State(STATE_BUFFERING, 0, 0)
for state in self.states:
if not buffering and state.type == STATE_BUFFERING:
buffering = True
last_state = state
elif buffering and state.type != STATE_BUFFERING:
buffering = False
buffer_time += state.seconds - last_state.seconds
if buffering:
buffer_time += self.elapsed - state.seconds
return buffer_time
class SummaryItem(object):
"""
An object representing a summary of information about a single file
in the log, such as the number of hits and average elapsed time.
"""
def __init__(self):
self.ips = []
self.ip_hits = {}
self.agents = []
self.referers = []
self.referer_hits = {}
self.referer_host_hits = {}
self.title = "undefined"
self.hits = 0
self.elapsed = []
self.elapsed_avg = 0
self.duration = 0
self.percent_watched = 0
self.popularity = []
self.buffering = []
self.buffering_avg = 0
def __repr__(self):
"""
Return a friendly representation of this SummaryItem object, for use
e.g. inside the Python interactive interpreter.
"""
return "<SummaryItem: hits=" + str(self.hits) + ", elapsed=" + \
str(self.elapsed_avg) + ", duration=" + str(self.duration) + ">"
def keys_ip_hits(self):
"""
Return a list of keys sorted by the number of hits per ip in
increasing order for a particular file, where the keys are
ip addresses.
"""
keys = self.ip_hits.keys()
keys.sort(lambda x, y: cmp(self.ip_hits[y], self.ip_hits[x]))
keys = keys[:MAX_IPS_DETAILED]
return keys
def keys_referer_hits(self):
"""
Return a list of keys sorted by the number of hits per referer in
increasing order for a particular file, where the keys are
referer pages.
"""
keys = self.referer_hits.keys()
keys.sort(lambda x, y: cmp(self.referer_hits[y],
self.referer_hits[x]))
keys = keys[:MAX_REFERERS_DETAILED]
return keys
def keys_referer_host_hits(self):
"""
Return a list of keys sorted by the number of hits per referer host
in increasing order for a particular file, where the keys are the
referer hostname (domains).
"""
keys = self.referer_host_hits.keys()
keys.sort(lambda x, y: cmp(self.referer_host_hits[y],
self.referer_host_hits[x]))
keys = keys[:GRAPH_ITEMS_MAX]
return keys
class Summary(dict):
"""
A dictionary of SummaryItems that represents a total summary of all
files contained in the log. This object provides special methods for
retrieving keys sorted on particular criteria, such as the most hits
or longest average elapsed time.
"""
def __init__(self):
"""
Initialize dictionary, set sane defaults, clear all caches.
"""
dict.__init__(self)
self.pos = 0
self.common_prefix_len = 0
self.ip_hits = {}
self.agent_hits = {}
self.referer_hits = {}
self.referer_host_hits = {}
self.reset_caches()
self.version = VERSION
self.clients = {}
self.versions = {}
def reset_caches(self):
"""
Clear all caches so that they are recalculated when sorted keys
are requested. This should be called whenever the summary is
updated with new information so that new caches are generated
that take this new information into account.
"""
self._keys_hits = None
self._keys_elapsed_avg = None
self._keys_percent_watched = None
self._keys_ip_hits = None
self._keys_agent_hits = None
self._keys_referer_hits = None
self._keys_referer_host_hits = None
self._keys_clients = None
def calculate_common_prefix(self):
"""
Recalculate the common prefix length that all files share. This
should be called whenever the summary object is updated from the
log file. The common prefix length is used when returning file
titles and names for simplifying their display in graphs and
tables.
"""
prefix = None
if len(self) > 1:
for key in self:
if prefix == None:
prefix = key
else:
for x in range(len(key), -1, -1):
if prefix.startswith(key[:x]):
prefix = key[:x]
break
if prefix == "":
break
elif len(self) == 1:
prefix = os.path.dirname(self.keys()[0]) + "/"
if prefix:
self.common_prefix_len = len(prefix)
else:
self.common_prefix_len = 0
def keys_hits(self):
"""
Return a list of keys sorted by the total number of hits per file,
sorted from most hits to fewest.
"""
if self._keys_hits:
return self._keys_hits
keys = self.keys()
keys.sort(lambda x, y: cmp(self[y].hits, self[x].hits))
#keys = keys[:GRAPH_ITEMS_MAX]
self._keys_hits = keys
return keys
def keys_hits_titles(self):
"""
Return a list of keys sorted by the total number of hits per file,
with each element either the title of the video (if available) or
the file name of the video minus any common prefix that all file
names have in common.
"""
return [self[key].title != "undefined" and self[key].title or key[self.common_prefix_len:] for key in self.keys_hits()]
def keys_elapsed_avg(self):
"""
Return a list of keys sorted by the average elapsed time per file,
sorted from longest to shortest.
"""
if self._keys_elapsed_avg:
return self._keys_elapsed_avg
keys = self.keys()
keys.sort(lambda x, y: cmp(self[y].elapsed_avg, self[x].elapsed_avg))
keys = keys[:GRAPH_ITEMS_MAX]
self._keys_elapsed_avg = keys
return keys
def keys_elapsed_avg_titles(self):
"""
Return a list of keys sorted by the average_elapsed time per file,
with each element either the title of the video (if available) or
the file name of the video minus any common prefix that all file
names have in common.
"""
return [self[key].title != "undefined" and self[key].title or key[self.common_prefix_len:] for key in self.keys_elapsed_avg()]
def keys_percent_watched(self):
"""
Return a list of keys sorted by the percent of the file that was
watched, sorted from highest to lowest.
"""
if self._keys_percent_watched:
return self._keys_percent_watched
keys = self.keys()
keys.sort(lambda x, y: cmp(self[y].percent_watched, self[x].percent_watched))
keys = keys[:GRAPH_ITEMS_MAX]
self._keys_percent_watched = keys
return keys
def keys_percent_watched_titles(self):
"""
Return a list of keys sorted by the percent of the file that was
watched, with each element either the title of the video (if
available) or the file name of the video minus any common prefix
that all file names have in common.
"""
return [self[key].title != "undefined" and self[key].title or key[self.common_prefix_len:] for key in self.keys_percent_watched()]
def keys_ip_hits(self):
"""
Return a list of IPs, sorted by the number of hits per IP, from
highest to lowest.
"""
if self._keys_ip_hits:
return self._keys_ip_hits
keys = self.ip_hits.keys()
keys.sort(lambda x, y: cmp(self.ip_hits[y], self.ip_hits[x]))
keys = keys[:GRAPH_ITEMS_MAX]
self._keys_ip_hits = keys
return keys
def keys_referer_hits(self):
"""
Return a list of referers, sorted by the number of hits per referer,
from highest to lowest.
"""
if self._keys_referer_hits:
return self._keys_referer_hits
keys = self.referer_hits.keys()
keys.sort(lambda x, y: cmp(self.referer_hits[y], self.referer_hits[x]))
keys = keys[:GRAPH_ITEMS_MAX]
self._keys_referer_hits = keys
return keys
def keys_referer_host_hits(self):
"""
Return a list of referer hosts, sorted by the number of hits per
referer, from highest to lowest.
"""
if self._keys_referer_host_hits:
return self._keys_referer_host_hits
keys = self.referer_host_hits.keys()
keys.sort(lambda x, y: cmp(self.referer_host_hits[y],
self.referer_host_hits[x]))
keys = keys[:GRAPH_ITEMS_MAX]
self._keys_referer_host_hits = keys
return keys
def keys_agent_hits(self):
"""
Return a list of user agents, sorted by the number of hits per
user agent, from highest to lowest.
"""
if self._keys_agent_hits:
return self._keys_agent_hits
keys = self.agent_hits.keys()
keys.sort(lambda x, y: cmp(self.agent_hits[y], self.agent_hits[x]))
keys = keys[:GRAPH_ITEMS_MAX]
self._keys_agent_hits = keys
return keys
def keys_hits_by_ip(self, ip):
"""
Return a tuple of (hits, keys) where hits is a dict corresponding
to the number of hits per file from a particular ip and keys are
the keys (file names) sorted by hits in increasing order.
"""
file_hits = {}
for filename in self:
for address in self[filename].ips:
if address == ip:
if filename not in file_hits:
file_hits[filename] = 0
file_hits[filename] += 1
top_files_keys = file_hits.keys()
top_files_keys.sort(lambda x, y: cmp(file_hits[y], file_hits[x]))
return (file_hits, top_files_keys)
def keys_hits_by_ip_titles(self, ip):
"""
Return a list of keys sorted by the number of hits per file, with
each element either the title of the video (if available) or the
file name of the video minus any common prefix that all file names
have in common.
"""
hits, keys = self.keys_hits_by_ip(ip)
return [self[key].title != "undefined" and self[key].title or key[self.common_prefix_len:] for key in keys]
def keys_clients(self):
"""
Return a list of clients sorted by the number of hits.
"""
if self._keys_clients:
return self._keys_clients
keys = self.clients.keys()
keys.sort(lambda x, y: cmp(self.clients[y], self.clients[x]))
self._keys_clients = keys
return keys
class Graph(graph):
"""
The default base graph for Simple Stats graphs that defines some
color and style information and simplifies several methods.
"""
def __init__(self, title):
graph.__init__(self)
self.bg_colour = GRAPH_BACKGROUND_COLOR
self.y_max = 100
self.title(title)
self.set_x_axis_3d(12)
self.x_axis_colour = GRAPH_GRID_COLOR
self.x_grid_colour = GRAPH_GRID_COLOR
self.y_axis_colour = GRAPH_GRID_COLOR
self.y_grid_colour = GRAPH_GRID_COLOR
self.set_x_label_style(8, GRAPH_LABEL_COLOR, 2)
self.set_y_label_style(8, GRAPH_LABEL_COLOR)
self.set_x_legend("Videos")
self.set_y_legend("Hits")
def title(self, text):
graph.title(self, text, "{font-size:20px; color:%s;}" % GRAPH_TITLE_COLOR)
def bar_3d(self, color, name):
graph.bar_3d(self, GRAPH_BAR_OPACITY, color, name, 10)
def set_y_legend(self, name):
graph.set_y_legend(self, name, 12, GRAPH_LABEL_COLOR)
def set_x_legend(self, name):
graph.set_x_legend(self, name, 12, GRAPH_LABEL_COLOR)
class GraphObject(graph_object):
"""
Override the default graph renderer.
"""
def __init__(self, options):
self.path = options.server_path
def render(self, width, height, data_url):
"""
Render this graph using the server path given to Simple Stats.
"""
return graph_object.render(self, width, height, data_url, self.path + os.path.sep)
def title_constrain(title):
"""
Constrain the length of a title to GRAPH_MAX_LABEL_LENGTH characters.
This method also URL-escapes the string for graph use.
"""
if len(title) > GRAPH_MAX_LABEL_LENGTH:
title = "..." + title[-(GRAPH_MAX_LABEL_LENGTH - 3):]
return quote(title)
def sec_to_str(sec):
"""
Return a nice string given a number of seconds, such as 21:53. Takes
into account hours, minutes, and seconds.
"""
s = ""
if sec < 0:
return "Unknown"
hours = sec / 3600
min = (sec % 3600) / 60
sec = sec % 60
if hours:
s += str(hours) + ":"
if min and min < 10 and hours:
s += "0" + str(min) + ":"
elif min:
s += str(min) + ":"
if sec < 10 and min:
s += "0"
s += str(sec)
return s
def percent_to_str(percent):
"""
Return a nice string given a percentage.
"""
s = ""
if percent < 0:
return "Unknown"
return str(int(percent)) + "%"
def sanitize_filename(filename):
"""
Return a sanitized file path with certain characters replaced.
"""
return filename.replace(":", "_").replace("/", "_")
def query(query_string, data):
"""
Return a query string for use in HTML links. For example, if
query_string is "?page=foo" and data is "date=200807" this function
will return "?page=foo&date=200807" while if query_string were "" it
would return "?date=200807".
"""
if query_string:
if not query_string.startswith("?"):
query_string = "?" + query_string
if data:
if (not data.startswith("&")) and (not query_string.endswith("&")):
data = "&" + data
return query_string + data
else:
return query_string
else:
if not data.startswith("?"):
data = "?" + data
return data
def load(filename, start=0):
"""
Load and return a dictionary of log entries from a given file and
starting position. The dictionary keys are the file names from the log
entries.
"""
stats = {}
infile = open(filename)
# If we are given a starting position, seek to it!
if start:
infile.seek(start)
# Process each line from the log
count = 0
total_count = 0
for line in infile.readlines():
# Set some defaults
agent = "unknown"
referer = "unknown"
filename = "unknown"
ip = "unknown"
try:
# Make sure the line isn't a comment or commented out entry.
line = line.strip()
if line and not line.startswith("#"):
# Split each of the parts separated by commas
try:
parts = line.split(", ")
except:
print "Error with line %i: %s" % (total_count, line)
continue
for part in parts:
# Split each part into a key, value pair
try:
moreparts = part.split("=")
key, value = moreparts[0], "=".join(moreparts[1:])
except:
print "Error with line %i, part: %s" % (total_count, part)
continue
# Process the key, value pair
if key == "ip":
if value.startswith("::ffff:"):
value = value[7:]
ip = value
elif key in ["agent", "referer", "filename",
"client", "version"]:
try:
exec(key + " = '" + value + "'")
except:
print "Error setting %s to %s" % (key, value)
if key == "filename":
if not stats.has_key(filename):
stats[filename] = [Stat(filename)]
else:
stats[filename].append(Stat(filename))
stats[filename][-1].ip = ip
stats[filename][-1].agent = agent
stats[filename][-1].referer = referer
elif key in ["client", "version"]:
setattr(stats[filename][-1], key, value)
elif key in ["time", "playerid", "width", "height",
"volume", "remaining"]:
# We currently do not care about these values!
continue
elif key in ["states", "volume"]:
# Process the state change lists in states and volume
more_parts = []
for state in value.split("."):
try:
stateinfo = state.split(":")
if len(stateinfo) == 2:
current_state, seconds = stateinfo
pos = -1
elif len(stateinfo) == 3:
current_state, pos, seconds = stateinfo
more_parts.append(State(current_state, pos,
seconds))
except:
print "Error with %s" % part
setattr(stats[filename][-1], key, more_parts)
else:
# Check for known integer values and convert
if key in ["width", "height", "duration", "elapsed",
"percent", "time", "remaining", "hits"]:
try:
value = int(float(value))
except ValueError:
print "Error with %s" % part
continue
setattr(stats[filename][-1], key, value)
count += 1
total_count += 1
except KeyError:
print "Problem on line %i: %s" % (total_count, line)
print "Loaded %i log entries" % count
return stats, infile.tell()
def summary(filename, options):
"""
Generate and return a Summary for a given log file name using and
updating a cache if possible.
"""
s = Summary()
# If a cache for this log file exists, load it!
if options.cache and os.path.exists(filename + ".cache"):
s = cPickle.load(open(filename + ".cache"))
if hasattr(s, "version") and s.version == VERSION:
statlog = os.stat(filename)
statcache = os.stat(filename + ".cache")
if statlog.st_mtime <= statcache.st_mtime:
print "Cache is up to date"
return s
else:
print "Cache version mismatch, regenerating..."
s = Summary()
print "Loading data..."
stats, pos = load(filename, s.pos)
# If no new stats were found, don't process!
if not stats:
return s
s.pos = pos
print "Generating summary..."
# Reset the caches and generate a new summary
s.reset_caches()
for fname, statslist in stats.items():
if fname not in s:
item = SummaryItem()
s[fname] = item
else:
item = s[fname]
for stat in statslist:
# Keep track of hits per IP
if stat.ip not in s.ip_hits:
s.ip_hits[stat.ip] = 0
s.ip_hits[stat.ip] += 1
# Keep track of hits per referer
if stat.referer not in s.referer_hits:
s.referer_hits[stat.referer] = 0
s.referer_hits[stat.referer] += 1
# Keep track of hits per referer's hostname
#try:
# hostname = urlsplit(stat.referer).hostname
# if hostname not in s.referer_host_hits:
# s.referer_host_hits[hostname] = 0
# s.referer_host_hits[hostname] += 1
#except:
# print "Error splitting hostname from %s" % stat.referer
# Keep track of hits per user agent
if stat.agent not in s.agent_hits:
s.agent_hits[stat.agent] = 0
s.agent_hits[stat.agent] += 1
# Keep track of IP hits per file
if stat.ip not in item.ip_hits:
item.ip_hits[stat.ip] = 0
item.ip_hits[stat.ip] += 1
# Keep track of referers per file
if stat.referer not in item.referer_hits:
item.referer_hits[stat.referer] = 0
item.referer_hits[stat.referer] += 1
# Keep track of referer host hits per file
#try:
# hostname = urlsplit(stat.referer).hostname
# if hostname not in item.referer_host_hits:
# item.referer_host_hits[hostname] = 0
# item.referer_host_hits[hostname] += 1
#except:
# print "Error splitting hostname from %s" % stat.referer
popularity = stat.get_popularity()
if len(item.popularity) < len(popularity):
item.popularity += [0 for x in range(len(popularity) - len(item.popularity))]
for x in range(len(popularity)):
item.popularity[x] += popularity[x]
buffering = stat.get_buffer_time()
if buffering != -1:
item.buffering.append(buffering)
item.ips.append(stat.ip)
item.agents.append(stat.agent)
item.referers.append(stat.referer)
item.hits += stat.hits
for hit in range(stat.hits):
try:
item.elapsed.append(stat.elapsed / stat.hits)
except ZeroDivisionError:
pass
# Keep track of Flash and FLV player versions
if stat.client:
if not s.clients.has_key(stat.client):
s.clients[stat.client] = 0
s.clients[stat.client] += 1
if stat.version:
if not s.versions.has_key(stat.version):
s.versions[stat.version] = 0
s.versions[stat.version] += 1
# Use the latest duration and title, as these values shouldn't change!
for x in range(len(statslist) - 1, -1, -1):
if statslist[x].duration:
item.duration = statslist[x].duration
break
for x in range(len(statslist) - 1, -1, -1):
if statslist[x].title:
item.title = statslist[x].title
break
try:
item.elapsed_avg = reduce(lambda x, y: x + y, item.elapsed) / \
len(item.elapsed)
except ZeroDivisionError:
item.elapsed_avg = -1
except TypeError:
item.elapsed_avg = -1
try:
item.percent_watched = item.elapsed_avg / float(item.duration) * 100.0
except ZeroDivisionError:
item.percent_watched = -1
except TypeError:
item.percent_watched = -1
try:
item.buffering_avg = reduce(lambda x, y: x + y, item.buffering, 0) / len(item.buffering)
except ZeroDivisionError:
item.buffering_avg = -1
except TypeError:
item.buffering_avg = -1
# Update the common prefix length for files
s.calculate_common_prefix()
# Save the updated summary!
if options.cache:
cPickle.dump(s, open(filename + ".cache", "w"), 2)
return s
def write_summary(summary, filename, options):
"""
Generate graphs, tables, and output a summary page, which defaults to
./output/filenamedate.html and can be included as the content in another
XHTML page.
"""
date = options.date
if not len(summary):
print "No items to process..."
return True
if not os.path.exists("output"):
os.mkdir("output")
outfile = os.path.join("output", sanitize_filename(filename))
outlink = os.path.join(options.server_path, outfile)
# =====================
# Total and unique hits
# =====================
g = Graph("Top Total and Unique Hits")
g.bar_3d(GRAPH_TOTAL_HITS_COLOR, "Total")
g.set_data([summary[key].hits for key in summary.keys_hits()[:GRAPH_ITEMS_MAX]])
g.y_max = summary[summary.keys_hits()[0]].hits
g.bar_3d(GRAPH_UNIQUE_HITS_COLOR, "Unique")
g.set_data([len(set(summary[key].ips)) for key in summary.keys_hits()[:GRAPH_ITEMS_MAX]])
g.set_links([query(options.query_string, "query=%s&date=%s" % (key, date)) for key in summary.keys_hits()[:GRAPH_ITEMS_MAX]])
g.set_x_labels(map(title_constrain, summary.keys_hits_titles()[:GRAPH_ITEMS_MAX]))
open(outfile + "_hits%s.txt" % date, "w").write(g.render())
# ========================
# Top average time watched
# ========================
g = Graph("Top Average Time Watched")
g.bar_3d(GRAPH_ELAPSED_COLOR, "Seconds")
g.set_data([summary[key].elapsed_avg for key in summary.keys_elapsed_avg()])
g.set_links([query(options.query_string, "query=%s&date=%s" % (key, date)) for key in summary.keys_elapsed_avg()])
g.y_max = summary[summary.keys_elapsed_avg()[0]].elapsed_avg
g.set_x_labels(map(title_constrain, summary.keys_elapsed_avg_titles()))
g.set_y_legend("Seconds")
open(outfile + "_time_watched%s.txt" % date, "w").write(g.render())
# ===========================
# Top average percent watched
# ===========================
g = Graph("Top Average Percent Watched")
g.bar_3d(GRAPH_PERCENT_COLOR, "Percent")
g.set_data([summary[key].percent_watched for key in summary.keys_percent_watched()])
g.set_links([query(options.query_string, "query=%s&date=%s" % (key, date)) for key in summary.keys_percent_watched()])
g.y_max = max(100, summary[summary.keys_percent_watched()[0]].percent_watched)
g.set_x_labels(map(title_constrain, summary.keys_percent_watched_titles()))
g.set_y_legend("Percent Watched")
open(outfile + "_percent_watched%s.txt" % date, "w").write(g.render())
# ===========
# Top viewers
# ===========
g = Graph("Top Viewers")
g.bar_3d(GRAPH_IP_COLOR, "Hits")
g.set_data([summary.ip_hits[key] for key in summary.keys_ip_hits()])
g.set_links([query(options.query_string, "query=%s&date=%s" % (key, date)) for key in summary.keys_ip_hits()])
g.y_max = summary.ip_hits[summary.keys_ip_hits()[0]]
g.set_x_legend("IP Addresses")
g.set_x_labels(summary.keys_ip_hits())
open(outfile + "_ips%s.txt" % date, "w").write(g.render())
# ===================
# Top referer Domains
# ===================
#g = Graph("Top Referer Domains")
#g.bar_3d(GRAPH_REFERER_COLOR, "Hits")
#g.set_data([summary.referer_host_hits[key] for key in summary.keys_referer_host_hits()])
#g.y_max = summary.referer_host_hits[summary.keys_referer_host_hits()[0]]
#g.set_x_legend("Domain")
#g.set_x_labels(summary.keys_referer_host_hits())
#open(outfile + "_referers%s.txt" % date, "w").write(g.render())
# =============
# Details table
# =============
data_table = "<table><tr><th>Name</th><th>Hits</th><th>Unique Hits</th><th>Time Watched</th><th>Percent Watched</th></tr>\n"
alt = False
titles = summary.keys_hits_titles()
keys = summary.keys_hits()
for x in range(len(keys)):
name = titles[x]
item = summary[keys[x]]
link = query(options.query_string, "query=%s&date=%s" % (keys[x], date))
data_table += "<tr%s><td class=\"name\"><a href=\"%s\">%s</a></td><td>%i</td><td>%i</td><td>%s</td><td>%s</td>\n" % (alt and ' class="alt"' or "", link, name, item.hits, len(set(item.ips)), sec_to_str(item.elapsed_avg), percent_to_str(item.percent_watched))
alt = not alt
data_table += "</table>\n"
# =================
# Top viewers table
# =================
ip_keys = summary.keys_ip_hits()
alt = False
ip_table = "<table><tr><th>IP Address</th><th>Hits</th></tr>\n"
for ip in ip_keys:
link = query(options.query_string, "query=%s&date=%s" % (ip, date))
ip_table += "<tr%s><td class=\"name\"><a href=\"%s\">%s</a></td><td>%i</td></tr>\n" % (alt and ' class="alt"' or "", link, ip, summary.ip_hits[ip])
alt = not alt
ip_table += "</table>\n"
# ==================
# Top referers table
# ==================
referer_table = "<table><tr><th>Referer</th><th>Hits</th></tr>\n"
alt = False
for referer in summary.keys_referer_hits():
referer_table += "<tr%s><td class=\"name\"><a href=\"%s\">%s</a></td><td>%i</td></tr>\n" % (alt and ' class="alt"' or "", referer, referer, summary.referer_hits[referer])
alt = not alt
referer_table += "</table>\n"
# =====================
# Top user agents table
# =====================
agent_table = "<table><tr><th>User Agent</th><th>Hits</th></tr>\n"
alt = False
for agent in summary.keys_agent_hits():
agent_table += "<tr%s><td class=\"name\">%s</td><td>%i</td></tr>\n" % (alt and ' class="alt"' or "", agent, summary.agent_hits[agent])
alt = not alt
agent_table += "</table>\n"
# =======================
# Flash client info table
# =======================
client_table = "<table><tr><th>Flash Version</th><th>Hits</th></tr>\n"
alt = False
for client in summary.keys_clients():
client_table += "<tr%s><td class=\"name\">%s</td><td>%i</td></tr>\n" % (alt and ' class="alt"' or "", client, summary.clients[client])
alt = not alt
client_table += "</table>\n"
# =======================
# Write out XHTML summary
# =======================
g = GraphObject(options)
open(outfile + date + ".html", "w").write("""
<div class="graph">
%s
</div>
<div class="graph">
%s
</div>
<div class="graph">
%s
</div>
<div class="graph">
%s
</div>
<div id="detailed">
<h2>Detailed Statistics</h2>
%s
</div>
<div>
<h2>Top Viewers</h2>
%s
</div>
<div>
<h2>Top Referer Pages</h2>
%s
</div>
<div>
<h2>Top User Agents</h2>
%s
</div>
<div>
<h2>Flash Client Summary</h2>
%s
</div>
""" % (g.render(GRAPH_WIDTH, GRAPH_HEIGHT, outlink + "_hits%s.txt" % date),
g.render(GRAPH_WIDTH, GRAPH_HEIGHT, outlink + "_time_watched%s.txt" % date),
g.render(GRAPH_WIDTH, GRAPH_HEIGHT, outlink + "_percent_watched%s.txt" % date),
g.render(GRAPH_WIDTH, GRAPH_HEIGHT, outlink + "_ips%s.txt" % date),
#g.render(GRAPH_WIDTH, GRAPH_HEIGHT, outlink + "_referers%s.txt" % date),
data_table,
ip_table,
referer_table,
agent_table,
client_table))
return False
def write_ip_summary(summary, options):
"""
Get information on a specific IP if it has been logged.
"""
ip = options.query
date = options.date
if not os.path.exists("output"):
os.mkdir("output")
if ip in summary.ip_hits:
outfile = os.path.join("output", ip)
outlink = os.path.join(options.server_path, outfile)
if options.get_output_path:
print outfile + "%s.html" % date
return False
# Create a summary of hits for each file from this IP
top_files, keys = summary.keys_hits_by_ip(ip)
titles = summary.keys_hits_by_ip_titles(ip)
# ======================
# Top videos for this IP
# ======================
g = Graph("Top Videos")
g.bar_3d(GRAPH_TOTAL_HITS_COLOR, "Hits")
g.set_data([top_files[key] for key in keys[:GRAPH_ITEMS_MAX]])
g.set_links([query(options.query_string, "query=%s&date=%s" % (key, date)) for key in keys[:GRAPH_ITEMS_MAX]])
g.y_max = top_files[keys[0]]
g.set_x_labels(map(title_constrain, titles[:GRAPH_ITEMS_MAX]))
open(outfile + "_hits%s.txt" % date, "w").write(g.render())
# =========================
# Top videos detailed table
# =========================
files_table = "<table><tr><th>Name</th><th>Hits</th></tr>\n"
alt = False
for pos in range(len(keys[:MAX_FILES_DETAILED])):
name = keys[pos]
title = titles[pos]
link = query(options.query_string, "query=%s&date=%s" % (name, date))
files_table += "<tr%s><td class=\"name\"><a href=\"%s\">%s</a></td><td>%i</td></tr>\n" % (alt and ' class="alt"' or "", link, title, top_files[name])
alt = not alt
files_table += "</table>\n"
# =======================
# Write out XHTML IP info
# =======================
g = GraphObject(options)
open(outfile + "%s.html" % date, "w").write("""
<div class="graph">
%s
</div>
<div id="detailed">
<h2>Top Videos</h2>
%s
</div>
""" % (g.render(GRAPH_WIDTH, GRAPH_HEIGHT, outlink + \
"_hits%s.txt" % date), files_table))
return False
print "Error: IP Address '%s' not found in log." % ip
return True
def write_file_summary(summary, options):
"""
Get information on a specific filename if it has been logged.
"""
filename = options.query
date = options.date
if not len(summary):
print "No items to process..."
return True
if filename not in summary:
# Look for similar filenames
for name in summary:
if name.endswith(filename):
filename = name
break
if filename not in summary:
for name in summary:
if filename in name:
filename = name
if filename not in summary:
print "Error: File '%s' not found in log." % filename
return True
else:
options.query = filename
if not os.path.exists("output"):
os.mkdir("output")
sumitem = summary[filename]
outfile = os.path.join("output", sanitize_filename(filename))
outlink = os.path.join(options.server_path, outfile)
if options.get_output_path:
print outfile + "%s.html" % date
return False
ip_hits = sumitem.ip_hits
ip_keys = sumitem.keys_ip_hits()
referer_hits = sumitem.referer_hits
referer_keys = sumitem.keys_referer_hits()
#referer_host_hits = sumitem.referer_host_hits
#referer_host_keys = sumitem.keys_referer_host_hits()
# ========================================
# Top total and unique hits for this video
# ========================================
g = Graph("Total / Unique / Top Viewer Hits")
g.bar_3d(GRAPH_TOTAL_HITS_COLOR, "Total")
g.set_data([sumitem.hits])
g.bar_3d(GRAPH_UNIQUE_HITS_COLOR, "Unique")
g.set_data([len(set(sumitem.ips))])
g.bar_3d(GRAPH_IP_COLOR, "Top Viewer")
g.set_data([ip_hits[ip_keys[0]]])
g.y_max = sumitem.hits
g.set_x_labels([sumitem.title != "undefined" and sumitem.title or filename[summary.common_prefix_len:]])
g.set_x_legend("Video")
g.x_label_style_orientation = 0
open(outfile + "_hits%s.txt" % date, "w").write(g.render())
# ==========================
# Top viewers for this video
# ==========================
g = Graph("Top Viewers")
g.bar_3d(GRAPH_IP_COLOR, "Hits")
g.set_data([ip_hits[key] for key in ip_keys[:GRAPH_ITEMS_MAX]])
g.set_links([query(options.query_string, "query=%s&date=%s" % (key, date)) for key in ip_keys[:GRAPH_ITEMS_MAX]])
g.y_max = ip_hits[ip_keys[0]]
g.set_x_legend("IP Addresses")
g.set_x_labels(ip_keys[:GRAPH_ITEMS_MAX])
open(outfile + "_ips%s.txt" % date, "w").write(g.render())
# ===============================
# Top referer hits for this video
# ===============================
#g = Graph("Top Referer Domains")
#g.bar_3d(GRAPH_REFERER_COLOR, "Hits")
#g.set_data([referer_host_hits[key] for key in referer_host_keys])
#g.y_max = referer_host_hits[referer_host_keys[0]]
#g.set_x_legend("Domain")
#g.set_x_labels(referer_host_keys)
#open(outfile + "_referers%s.txt" % date, "w").write(g.render())
# =============================
# Popularity map for this video
# =============================
g = Graph("Popularity Map")
g.bar_3d(GRAPH_POPULARITY_COLOR, "Views")
g.set_data(sumitem.popularity)
try:
g.y_max = max(sumitem.popularity)
except ValueError:
g.y_max = 0
g.set_x_legend("File Region")
labels = ["%i%%25" % percent for percent in range(0, 100, FILE_POPULARITY_PRECISION)]
g.set_x_labels(labels)
open(outfile + "_popularity%s.txt" % date, "w").write(g.render())
# =============
# Details table
# =============
data_table = "<table class=\"detailed\"><tr><th>Property</th><th>Value</th></tr>\n"
name = sumitem.title != "undefined" and sumitem.title or filename[summary.common_prefix_len:]
rows = [
["Name", name],
["Total Hits", sumitem.hits],
["Unique Hits", len(set(sumitem.ips))],
["Duration", sec_to_str(sumitem.duration)],
["Average Time Watched", sec_to_str(sumitem.elapsed_avg)],
["Average Percent Watched", percent_to_str(sumitem.percent_watched)],
["Average Time Buffering", sec_to_str(sumitem.buffering_avg)],
]
odd = False
for item, value in rows:
data_table += "<tr%s><td>%s</td><td>%s</td></tr>\n" % (odd and " class=\"alt\"" or "", item, str(value))
odd = not odd
data_table += "</table>\n"
# =================
# Top viewers table
# =================
alt = False
ip_table = "<table><tr><th>IP Address</th><th>Hits</th></tr>\n"
for ip in ip_keys:
link = query(options.query_string, "query=%s&date=%s" % (ip, date))
ip_table += "<tr%s><td class=\"name\"><a href=\"%s\">%s</a></td><td>%i</td></tr>\n" % (alt and ' class="alt"' or "", link, ip, ip_hits[ip])
alt = not alt
ip_table += "</table>\n"
# ==================
# Top referers table
# ==================
alt = False
referer_table = "<table><tr><th>Referer</th><th>Hits</th></tr>\n"
for referer in referer_keys:
referer_table += "<tr%s><td class=\"name\"><a href=\"%s\">%s</a></td><td>%i</td></tr>\n" % (alt and ' class="alt"' or "", referer, referer, referer_hits[referer])
alt = not alt
referer_table += "</table>\n"
# =====================
# Write XHTML file info
# =====================
g = GraphObject(options)
open(outfile + "%s.html" % date, "w").write("""
<div class="graph">
%s
</div>
<div class="graph">
%s
</div>
<div class="graph">
%s
</div>
<div id="detailed">
<h2>Details</h2>
%s
</div>
<div>
<h2>Top Viewers</h2>
%s
</div>
<div>
<h2>Top Referer Pages</h2>
%s
</div>
""" % (g.render(GRAPH_WIDTH, GRAPH_HEIGHT, outlink + "_hits%s.txt" % date),
g.render(GRAPH_WIDTH, GRAPH_HEIGHT, outlink + "_ips%s.txt" % date),
#g.render(GRAPH_WIDTH, GRAPH_HEIGHT, outlink + "_referers%s.txt" % date),
g.render(GRAPH_WIDTH, GRAPH_HEIGHT, outlink + "_popularity%s.txt" % date),
data_table,
ip_table,
referer_table))
return False
if __name__ == "__main__":
"""
Handle commandline arguments and run the script when run as a program.
"""
ip_re = re.compile("^[0-9]+\.[0-9]+\.[0-9]+\.[0-9]+$")
retval = 0
parser = OptionParser(usage = "%prog [-s] [-v] [-q query] [-d date] log", version="Simple Stats Version " + str(VERSION))
parser.add_option("-s", "--summary", action="store_true", default=False,
dest="summary", help="Generate summary")
parser.add_option("-q", "--query", dest="query", help="Query file or IP")
parser.add_option("-d", "--date", dest="date", default="",
help="Generate links with a particular date")
parser.add_option("-p", "--server-path", dest="server_path", default="",
help="Path on the server to prepend to links")
parser.add_option("-n", "--no-cache", dest="cache", action="store_false",
default=True, help="Disable cache")
parser.add_option("-g", "--query-string", dest="query_string",
help="Server query string to append")
parser.add_option("-l", "--get-output-path", dest="get_output_path",
action="store_true", default=False,
help="Print the output path and exit")
options, args = parser.parse_args()
if len(args) != 1:
parser.print_help()
raise SystemExit(1)
if not os.path.exists(args[0]):
print args[0], "not found."
raise SystemExit(1)
if options.query:
sum = summary(args[0], options)
if ip_re.search(options.query):
retval = write_ip_summary(sum, options)
else:
retval = write_file_summary(sum, options)
else:
if not options.summary:
print "Assuming --summary..."
sum = summary(args[0], options)
retval = write_summary(sum, args[0], options)
raise SystemExit(retval)
| 35.297244 | 265 | 0.523172 | 6,443 | 53,793 | 4.223964 | 0.095918 | 0.011758 | 0.017086 | 0.007165 | 0.472056 | 0.396032 | 0.353665 | 0.320448 | 0.298585 | 0.263715 | 0 | 0.011437 | 0.344971 | 53,793 | 1,523 | 266 | 35.32042 | 0.760926 | 0.092335 | 0 | 0.355972 | 1 | 0.007026 | 0.120747 | 0.019382 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.003513 | 0.010539 | null | null | 0.023419 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
af31f8fd92a5ca9f818a6c2397ed390b4cbb8af2 | 1,074 | py | Python | middleware.py | jfroejk/cartridge_quickpay | 50b5a4e73a1305cef57f37ad0bf2a46aa8af1162 | [
"BSD-3-Clause"
] | null | null | null | middleware.py | jfroejk/cartridge_quickpay | 50b5a4e73a1305cef57f37ad0bf2a46aa8af1162 | [
"BSD-3-Clause"
] | null | null | null | middleware.py | jfroejk/cartridge_quickpay | 50b5a4e73a1305cef57f37ad0bf2a46aa8af1162 | [
"BSD-3-Clause"
] | null | null | null | from django.http import HttpRequest, HttpResponse
from django.utils.deprecation import MiddlewareMixin
from typing import Optional
import logging
class QuickpayMiddleware(MiddlewareMixin):
def process_view(self, request: HttpRequest, view_func, view_args, view_kwargs) -> Optional[HttpResponse]:
from cartridge.shop.views import checkout_steps
from cartridge.shop.checkout import CHECKOUT_STEP_FIRST
logging.debug("Quickpay.process_view: method={}, at checkout={}, step={}"
.format(request.method, view_func is checkout_steps, request.POST.get('step', 0)))
step_str = request.POST.get('step', '0')
step = int(step_str) if step_str.isdigit() else 0
if (request.method == 'POST'
and view_func is checkout_steps
and step == CHECKOUT_STEP_FIRST):
logging.debug("Quickpay.process_view: Making QP checkout view")
from .views import quickpay_checkout
return quickpay_checkout(request)
else:
return None
| 42.96 | 110 | 0.673184 | 125 | 1,074 | 5.624 | 0.384 | 0.046942 | 0.048364 | 0.068279 | 0.267425 | 0.201991 | 0.136558 | 0.136558 | 0 | 0 | 0 | 0.003686 | 0.242086 | 1,074 | 24 | 111 | 44.75 | 0.859951 | 0 | 0 | 0 | 0 | 0 | 0.108007 | 0.040968 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.35 | 0 | 0.55 | 0 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
af72e56410cfd4f18c381893cc5f4f3f0e549c60 | 3,217 | py | Python | raml/layers.py | Mathemmagician/raML | 21da54ac520e4de148c3473770b81938f8cd634b | [
"MIT"
] | 2 | 2020-10-25T22:30:44.000Z | 2020-11-07T15:42:16.000Z | raml/layers.py | Mathemmagician/raML | 21da54ac520e4de148c3473770b81938f8cd634b | [
"MIT"
] | null | null | null | raml/layers.py | Mathemmagician/raML | 21da54ac520e4de148c3473770b81938f8cd634b | [
"MIT"
] | null | null | null |
from abc import ABC, abstractmethod
import numpy as np
from .activations import Identity
class Layer(ABC):
def __init__(self, size, input_shape=(None, None)):
'''
Params
------
size : int
number of neurons (size) of output layer
input_shape : (int, int)
(number of input features, number of samples) *only required for first layer*
'''
self.size = size
self.IN, self.n = self.input_shape = input_shape
def compile(self, input_shape, output_shape):
'''
Notes
-----
IN - number of neurons (size) of input layer
OUT - number of neurons (size) of output layer
n - number of samples
'''
assert len(input_shape)== 2
IN, n = input_shape
self.input_shape = input_shape
self.output_shape = output_shape
self.IN = IN
self.OUT = output_shape[0]
self.n = n
@abstractmethod
def forward(self, X):
pass
@abstractmethod
def backward(self, dA):
pass
class Dense(Layer):
def __init__(self, size, input_shape=(None, None), activation=Identity):
super().__init__(size, input_shape)
self.activation = activation()
def compile(self, input_shape, output_shape=(1,)):
''' W is the weights matrix | [in x out]
Z is Sum(w_i * x_i) | [out x n]
A is activation.apply(Z)| [out x n]
'''
super().compile(input_shape, output_shape)
#self.W = np.random.rand(self.OUT, self.IN)
self.W = np.random.randn(self.OUT, self.IN) * np.sqrt(2 / (self.IN + self.OUT))
# Important note: for tanh: 1/self.IN, Relu: 2/self.IN. Instead, I'm using new theory
self.alpha = 0.1 # Place holder for optimizer
def forward(self, X):
'''Applies forward propagation to inputs X, i.e.
self.Z = W * X
self.A = a(Z)
'''
assert X.ndim == 2 and X.shape[0] == self.input_shape[0]
self.X = X
self.Z = np.dot(self.W, self.X)
self.A = self.activation.apply(self.Z)
assert self.A.shape == self.Z.shape # Sanity check
return self.A
def backward(self, dA):
'''Given derivatives of next layer, adjust the weights
Math:
dZ = dA .* a'(Z), .* - element wise multiplication
dW = dZ dot X.T
dX = dW.T dot dZ
Params:
dA := partial derivative dJ / dA
Notes:
dX is dA of left layer
'''
assert dA.shape == self.Z.shape
dZ = dA * self.activation.derivative(self.Z, A=self.A)
assert dZ.shape == dA.shape
dW = np.dot(dZ, self.X.transpose()) / self.n
assert dW.shape == self.W.shape
dX = np.dot(self.W.transpose(), dZ)
self.W = self.W - self.alpha * dW
return dX, dW
class Lambda(Layer):
'''Gotta think about this one'''
def __init__(self, function):
self.function = function
def compile(self):
pass
def forward(self, X):
return
def backward(self, dA):
pass | 27.033613 | 93 | 0.544296 | 430 | 3,217 | 3.983721 | 0.255814 | 0.081728 | 0.040864 | 0.033275 | 0.181553 | 0.116754 | 0.116754 | 0.038529 | 0 | 0 | 0 | 0.005196 | 0.341933 | 3,217 | 119 | 94 | 27.033613 | 0.803968 | 0.295928 | 0 | 0.222222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.111111 | 1 | 0.222222 | false | 0.074074 | 0.055556 | 0.018519 | 0.388889 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 2 |
af81cbab6096b02fc63033da2f31e549ce61f7c4 | 1,099 | py | Python | cloudmesh-exercises/e-cloudmesh-shell-3/cloudmesh-experiment_docopt/cloudmesh/experiment_docopt/command/experiment_docopt.py | cybertraining-dsc/fa19-516-151 | 1b5c07b0a7e64f9fcc8452edf1ee3a1e97689de5 | [
"Apache-2.0"
] | null | null | null | cloudmesh-exercises/e-cloudmesh-shell-3/cloudmesh-experiment_docopt/cloudmesh/experiment_docopt/command/experiment_docopt.py | cybertraining-dsc/fa19-516-151 | 1b5c07b0a7e64f9fcc8452edf1ee3a1e97689de5 | [
"Apache-2.0"
] | 6 | 2019-10-14T03:15:06.000Z | 2019-10-21T00:47:35.000Z | cloudmesh-exercises/e-cloudmesh-shell-3/cloudmesh-experiment_docopt/cloudmesh/experiment_docopt/command/experiment_docopt.py | cybertraining-dsc/fa19-516-151 | 1b5c07b0a7e64f9fcc8452edf1ee3a1e97689de5 | [
"Apache-2.0"
] | 2 | 2019-09-27T19:16:49.000Z | 2019-10-14T03:03:41.000Z | from __future__ import print_function
from cloudmesh.shell.command import command
from cloudmesh.shell.command import PluginCommand
from cloudmesh.experiment_docopt.api.manager import Manager
from cloudmesh.common.console import Console
from cloudmesh.common.util import path_expand
from pprint import pprint
from cloudmesh.common.debug import VERBOSE
class Experiment_docoptCommand(PluginCommand):
# noinspection PyUnusedLocal
@command
def do_experiment_docopt(self, args, arguments):
"""
::
Usage:
experiment_docopt --rand_1=rand_1 --rand_2=rand_2
experiment_docopt list
This command does some useful things.
Arguments:
rand_1 the first rand
rand_2 the second rand
Options:
-f specify the file
"""
arguments.rand_1 = int(arguments['--rand_1'] or None)
arguments.rand_2 = int(arguments['--rand_2'] or None)
# Printing the sum of the two rands
print(arguments.rand_1+arguments.rand_2)
return "" | 28.921053 | 65 | 0.66697 | 131 | 1,099 | 5.412214 | 0.427481 | 0.12835 | 0.078984 | 0.070522 | 0.087447 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014944 | 0.269336 | 1,099 | 38 | 66 | 28.921053 | 0.867995 | 0.289354 | 0 | 0 | 0 | 0 | 0.023392 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.533333 | 0 | 0.733333 | 0.2 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
af847c34981aa2793c238a99b53bfa1e288e9123 | 76 | py | Python | src/riotwatcher/__version__.py | mikeread-dev/Riot-Watcher | 4d31bc29577c99066967190a9d5ba3994d29e63e | [
"MIT"
] | null | null | null | src/riotwatcher/__version__.py | mikeread-dev/Riot-Watcher | 4d31bc29577c99066967190a9d5ba3994d29e63e | [
"MIT"
] | null | null | null | src/riotwatcher/__version__.py | mikeread-dev/Riot-Watcher | 4d31bc29577c99066967190a9d5ba3994d29e63e | [
"MIT"
] | null | null | null | __version__ = "3.1.2"
__author__ = "pseudonym117"
__title__ = "RiotWatcher"
| 19 | 27 | 0.736842 | 8 | 76 | 5.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.089552 | 0.118421 | 76 | 3 | 28 | 25.333333 | 0.567164 | 0 | 0 | 0 | 0 | 0 | 0.368421 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
af85490398a5c3d8aaf8ad2490c0afd82b3894f7 | 2,780 | py | Python | chesscorpy/user.py | kurtjd/correspondence-chess | 127c4b1f4983f08c824970c04841071e7533fad9 | [
"MIT"
] | 2 | 2021-09-02T18:14:17.000Z | 2021-12-19T17:32:49.000Z | chesscorpy/user.py | kurtjd/correspondence-chess | 127c4b1f4983f08c824970c04841071e7533fad9 | [
"MIT"
] | null | null | null | chesscorpy/user.py | kurtjd/correspondence-chess | 127c4b1f4983f08c824970c04841071e7533fad9 | [
"MIT"
] | null | null | null | from flask import session
from werkzeug.security import generate_password_hash
from . import database
USERNAME_MAX_LEN = 15
EMAIL_MAX_LEN = 320
PASSWORD_MAX_LEN = 100
DEFAULT_RATING = 1000
MIN_RATING = 1
MAX_RATING = 3000
PUBLIC_USER_ID = 0
DRAW_USER_ID = 0
USER_SESSION = 'user_id'
def get_data_by_id(userid, fields='*'):
"""Retrieves the data of a user with the given id."""
query = f'SELECT {",".join(fields)} FROM users WHERE id = ? LIMIT 1'
query_args = [userid]
return database.sql_exec(database.DATABASE_FILE, query, query_args, False)
def get_data_by_name(username, fields=('*',), case_sensitive=False):
"""Retrieves the data of a user with the given name."""
if not case_sensitive:
query = (f'SELECT {",".join(fields)} FROM users WHERE '
'LOWER(username) = ? LIMIT 1')
query_args = [username.lower()]
else:
query = (f'SELECT {",".join(fields)} FROM users WHERE '
'username = ? LIMIT 1')
query_args = [username]
return database.sql_exec(database.DATABASE_FILE, query, query_args, False)
def logged_in():
"""Checks if the user is logged in."""
return True if session.get(USER_SESSION) else False
def create(username, password, email, rating, notifications):
"""Creates a new user in the database."""
query = ('INSERT INTO users (username, password, email, rating, '
'notifications) VALUES(?, ?, ?, ?, ?)')
query_args = [username, generate_password_hash(password), email, rating,
notifications]
database.sql_exec(database.DATABASE_FILE, query, query_args, False)
def update_settings(user_id, notify):
"""Updates a user's settings."""
query = 'UPDATE users SET notifications = ? WHERE id = ?'
query_args = [notify, user_id]
database.sql_exec(database.DATABASE_FILE, query, query_args, False)
def auto_login(username):
"""Automatically logs in a user given a username."""
query = 'SELECT id FROM users WHERE username=?'
query_args = [username]
user_id = database.sql_exec(database.DATABASE_FILE, query, query_args,
False)
create_session(user_id['id'])
def get_logged_in_id():
"""Gets the id of the currently logged-in user."""
return session[USER_SESSION]
def create_session(userid):
"""Creates a session for the given user id."""
session[USER_SESSION] = userid
def delete_session():
"""Deletes the current user session."""
session.clear()
def set_rating(rating):
"""Sets the user's starting rating."""
if not rating:
rating = DEFAULT_RATING
return rating
try:
rating = int(rating)
except ValueError:
rating = DEFAULT_RATING
return rating
| 25.272727 | 78 | 0.660072 | 363 | 2,780 | 4.870523 | 0.261708 | 0.055995 | 0.042421 | 0.065045 | 0.38914 | 0.308824 | 0.273756 | 0.273756 | 0.21267 | 0.173077 | 0 | 0.010247 | 0.227698 | 2,780 | 109 | 79 | 25.504587 | 0.813228 | 0.141367 | 0 | 0.20339 | 1 | 0 | 0.160531 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.169492 | false | 0.084746 | 0.050847 | 0 | 0.322034 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
af913e7540a2b7fd6f8b379d175532f876e3bb97 | 732 | py | Python | views/catalogue.py | KBA07/stylor-web-backend | 9ef4ade46c81f3d48a63d78227db9dc645989ad4 | [
"MIT"
] | null | null | null | views/catalogue.py | KBA07/stylor-web-backend | 9ef4ade46c81f3d48a63d78227db9dc645989ad4 | [
"MIT"
] | null | null | null | views/catalogue.py | KBA07/stylor-web-backend | 9ef4ade46c81f3d48a63d78227db9dc645989ad4 | [
"MIT"
] | null | null | null | import csv
from flask import (
Blueprint, flash, redirect, render_template, request, url_for
)
bp = Blueprint('catalogue', __name__)
@bp.route('/getCategories', methods=['GET'])
def index():
# Returns all the categories present in excel sheet
if request.method == 'POST':
return "the method is post"
return "the method is get"
@bp.route('/getProducts/<category>', methods=['GET'])
def delete(category):
# gets product based on category
return "the method is delete {}".format(id)
@bp.route('/getProductDetails/<productId>', methods=['GET'])
def getProductDetails(productId):
pass
@bp.route('/getProductInventory/<productId>', methods=['GET'])
def getProductInventory(productId):
pass | 24.4 | 65 | 0.695355 | 87 | 732 | 5.781609 | 0.54023 | 0.055666 | 0.10338 | 0.101392 | 0.083499 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.161202 | 732 | 30 | 66 | 24.4 | 0.819218 | 0.10929 | 0 | 0.105263 | 0 | 0 | 0.28 | 0.130769 | 0 | 0 | 0 | 0 | 0 | 1 | 0.210526 | false | 0.105263 | 0.105263 | 0.052632 | 0.473684 | 0.105263 | 0 | 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 | 0 | 0 | 0 | 0 | 2 |
af9ae88d9f65a57a8d4119762a33492ff3e13b99 | 438 | py | Python | product_filter/urls.py | shahinvx/ecom_micro | 625ed6ec9c4fef15d64832cb5243772162838097 | [
"MIT"
] | null | null | null | product_filter/urls.py | shahinvx/ecom_micro | 625ed6ec9c4fef15d64832cb5243772162838097 | [
"MIT"
] | null | null | null | product_filter/urls.py | shahinvx/ecom_micro | 625ed6ec9c4fef15d64832cb5243772162838097 | [
"MIT"
] | null | null | null | from django.contrib import admin
from django.urls import path
from django.urls.conf import include
from product_filter.views import *
urlpatterns = [
path('home/', Home.as_view(), name='home'),
path('login/', Login.as_view(), name='Log-In'),
path('register/', Register.as_view(), name='User-Register'),
path('jck/', JWT_ck.as_view(), name='jck'),
path('', Product.as_view(), name='products'),
]
| 27.375 | 65 | 0.639269 | 59 | 438 | 4.627119 | 0.440678 | 0.10989 | 0.18315 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.178082 | 438 | 15 | 66 | 29.2 | 0.758333 | 0 | 0 | 0 | 0 | 0 | 0.137116 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.363636 | 0 | 0.363636 | 0 | 0 | 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 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
afb26c52d080623bb1932169c96800513391c7ee | 951 | py | Python | aura/AI Engineer/course2_20191117/a8_titanic/a1_raw_try_no_process.py | linksdl/futuretec-project-coursera_cerficates | 278a533501b702abd90ac3124739d3d85935e1f8 | [
"Apache-2.0"
] | null | null | null | aura/AI Engineer/course2_20191117/a8_titanic/a1_raw_try_no_process.py | linksdl/futuretec-project-coursera_cerficates | 278a533501b702abd90ac3124739d3d85935e1f8 | [
"Apache-2.0"
] | null | null | null | aura/AI Engineer/course2_20191117/a8_titanic/a1_raw_try_no_process.py | linksdl/futuretec-project-coursera_cerficates | 278a533501b702abd90ac3124739d3d85935e1f8 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# 加载相关模块和库
import sys
import io
#改变标准输出的默认编码
sys.stdout=io.TextIOWrapper(sys.stdout.buffer,encoding='utf8')
import numpy as np
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif']=['SimHei'] #用来正常显示中文标签
plt.rcParams['axes.unicode_minus']=False #用来正常显示负号
from sklearn.model_selection import learning_curve
from sklearn import linear_model
from sklearn.ensemble import RandomForestRegressor
import pandas as pd #数据分析
from sklearn import linear_model
from sklearn.ensemble import RandomForestClassifier
from util import plot_learning_curve
# (1) 读取数据集
data_train = pd.read_csv("data/train.csv")
train_np = data_train.as_matrix()
# y即Survival结果
y = train_np[:, 1]
# X即特征属性值
X = train_np[:, 2:]
# (5) 模型构建与训练
clf = linear_model.LogisticRegression(C=100.0, penalty='l1', tol=1e-6)
#clf = RandomForestClassifier(criterion='gini', max_depth=5, n_estimators=5)
# (6) 绘制learning curve
plot_learning_curve(clf, u"学习曲线", X, y) | 30.677419 | 76 | 0.77918 | 140 | 951 | 5.157143 | 0.557143 | 0.076177 | 0.047091 | 0.063712 | 0.146814 | 0.146814 | 0.146814 | 0.146814 | 0.146814 | 0 | 0 | 0.018735 | 0.101998 | 951 | 31 | 77 | 30.677419 | 0.826698 | 0.212408 | 0 | 0.1 | 0 | 0 | 0.085482 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.55 | 0 | 0.55 | 0 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
afc200d8153f7fe1e2ed02f1ef14c4b18aad3acf | 392 | py | Python | test/azure/Expected/AcceptanceTests/CustomPollerPagerDefinitions/custompollerpagerdefinitions/aio/__init__.py | qwordy/autorest.python | 6b12df51c2a39a1285546b5a771b69f5896e794f | [
"MIT"
] | 35 | 2018-04-03T12:15:53.000Z | 2022-03-11T14:03:34.000Z | test/azure/Expected/AcceptanceTests/CustomPollerPagerDefinitions/custompollerpagerdefinitions/aio/__init__.py | qwordy/autorest.python | 6b12df51c2a39a1285546b5a771b69f5896e794f | [
"MIT"
] | 652 | 2017-08-28T22:44:41.000Z | 2022-03-31T21:20:31.000Z | test/azure/Expected/AcceptanceTests/CustomPollerPagerDefinitions/custompollerpagerdefinitions/aio/__init__.py | qwordy/autorest.python | 6b12df51c2a39a1285546b5a771b69f5896e794f | [
"MIT"
] | 29 | 2017-08-28T20:57:01.000Z | 2022-03-11T14:03:38.000Z | from azure.core.paging import ReturnType
from azure.core.async_paging import AsyncItemPaged
from azure.core.polling import AsyncLROPoller
from azure.core.polling._poller import PollingReturnType
class AsyncCustomPager(AsyncItemPaged[ReturnType]):
pass
class AsyncCustomPoller(AsyncLROPoller[PollingReturnType]):
pass
__all__ = [
'AsyncCustomPager',
'AsyncCustomPoller',
] | 23.058824 | 59 | 0.806122 | 39 | 392 | 7.948718 | 0.435897 | 0.116129 | 0.167742 | 0.129032 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.122449 | 392 | 17 | 60 | 23.058824 | 0.901163 | 0 | 0 | 0.166667 | 0 | 0 | 0.083969 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.166667 | 0.333333 | 0 | 0.5 | 0 | 0 | 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 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 2 |
afc9e27bd9f3ea1fa39c43fece72d03e41bed8ce | 792 | py | Python | app/case/urls.py | Allen-lang/FXTest | ccbc5e986f4d0f9d3145a857674529380d873719 | [
"MIT"
] | 1 | 2019-12-31T01:53:04.000Z | 2019-12-31T01:53:04.000Z | app/case/urls.py | fuyang123/FXTest | ccbc5e986f4d0f9d3145a857674529380d873719 | [
"MIT"
] | null | null | null | app/case/urls.py | fuyang123/FXTest | ccbc5e986f4d0f9d3145a857674529380d873719 | [
"MIT"
] | null | null | null | """
@author: lileilei
@file: urls.py
@time: 2018/1/31 13:20
"""
from app.case.views import *
from app.case import case
case.add_url_rule('/addtestcase',view_func=AddtestcaseView.as_view('addtestcase'))
case.add_url_rule('/edit_case/<int:id>',view_func=EditcaseView.as_view('edit_case'))
case.add_url_rule('/daoru_case',view_func=DaorucaseView.as_view('daoru_case'))
case.add_url_rule('/ser_yongli',view_func=SeryongliView.as_view('ser_yongli'))
case.add_url_rule('/makeonlyonecase',view_func=MakeonlyoneCase.as_view('makeonlyonecase'))
case.add_url_rule('/duoyongli',view_func=DuoyongliView.as_view('duoyongli'))
case.add_url_rule('/daochucase',view_func=DaochuCase.as_view('daochucase'))
case.add_url_rule('/caseonedeteil',view_func=OnecaseDetial.as_view('caseonedeteil'))
| 49.5 | 91 | 0.784091 | 117 | 792 | 4.982906 | 0.333333 | 0.096055 | 0.137221 | 0.19211 | 0.092624 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014686 | 0.054293 | 792 | 15 | 92 | 52.8 | 0.763685 | 0.070707 | 0 | 0 | 0 | 0 | 0.268636 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.2 | 0 | 0.2 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
bb663f0c875f63c576503ac0556df97983324080 | 665 | py | Python | scripts/user_guide/testing_kfoldcv.py | kliegr/pyIDS | 83e12503dc7b2680b35bfb377bc13521a54237bc | [
"MIT"
] | 1 | 2021-12-18T01:00:16.000Z | 2021-12-18T01:00:16.000Z | scripts/user_guide/testing_kfoldcv.py | kliegr/pyIDS | 83e12503dc7b2680b35bfb377bc13521a54237bc | [
"MIT"
] | null | null | null | scripts/user_guide/testing_kfoldcv.py | kliegr/pyIDS | 83e12503dc7b2680b35bfb377bc13521a54237bc | [
"MIT"
] | null | null | null | from sklearn.metrics import roc_auc_score, f1_score, accuracy_score
import scipy
import numpy as np
import pandas as pd
from pyarc.qcba import *
from pyarc.algorithms import createCARs, top_rules
from pyarc import TransactionDB
from pyids import IDS
from pyids.ids_cacher import IDSCacher
from pyids.ids_ruleset import IDSRuleSet
from pyids.ids_rule import IDSRule
from pyids.ids_classifier import IDSOneVsAll
from pyids.model_selection import encode_label, mode, KFoldCV
dataframes = [ pd.read_csv("./data/iris{}.csv".format(i)) for i in range(10)]
kfold = KFoldCV(IDSOneVsAll(), dataframes, score_auc=True)
scores = kfold.fit(rule_cutoff=50)
print(scores) | 26.6 | 77 | 0.809023 | 102 | 665 | 5.137255 | 0.54902 | 0.103053 | 0.091603 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008532 | 0.118797 | 665 | 25 | 78 | 26.6 | 0.885666 | 0 | 0 | 0 | 0 | 0 | 0.025526 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.764706 | 0 | 0.764706 | 0.058824 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
bb6c7edaf688297079f158f3f539a243f6bf52ca | 1,742 | py | Python | tests/test_vector_builder.py | David-Durst/fault | 523b684d94c95f7c4cca653ecfb53897ca41e37c | [
"BSD-3-Clause"
] | null | null | null | tests/test_vector_builder.py | David-Durst/fault | 523b684d94c95f7c4cca653ecfb53897ca41e37c | [
"BSD-3-Clause"
] | null | null | null | tests/test_vector_builder.py | David-Durst/fault | 523b684d94c95f7c4cca653ecfb53897ca41e37c | [
"BSD-3-Clause"
] | null | null | null | import random
from bit_vector import BitVector
import fault
import common
from fault.actions import Poke, Expect, Eval, Step, Print
from fault.array import Array
from fault.vector_builder import VectorBuilder
def test_tester_basic():
circ = common.TestBasicCircuit
builder = VectorBuilder(circ)
builder.process(Poke(circ.I, BitVector(0, 1)))
builder.process(Expect(circ.O, BitVector(0, 1)))
assert builder.vectors == [[BitVector(0, 1), BitVector(0, 1)]]
builder.process(Eval())
assert builder.vectors == [[BitVector(0, 1), BitVector(0, 1)],
[BitVector(0, 1), fault.AnyValue]]
def test_tester_clock():
circ = common.TestBasicClkCircuit
builder = VectorBuilder(circ)
builder.process(Poke(circ.I, BitVector(0, 1)))
builder.process(Print(circ.O))
builder.process(Expect(circ.O, BitVector(0, 1)))
assert builder.vectors == [
[BitVector(0, 1), BitVector(0, 1), fault.AnyValue]
]
builder.process(Poke(circ.CLK, BitVector(0, 1)))
assert builder.vectors == [
[BitVector(0, 1), BitVector(0, 1), BitVector(0, 1)]
]
builder.process(Step(circ.CLK, 1))
assert builder.vectors == [
[BitVector(0, 1), BitVector(0, 1), BitVector(0, 1)],
[BitVector(0, 1), fault.AnyValue, BitVector(1, 1)]
]
def test_tester_nested_arrays():
circ = common.TestNestedArraysCircuit
builder = VectorBuilder(circ)
expected = []
for i in range(3):
val = random.randint(0, (1 << 4) - 1)
builder.process(Poke(circ.I[i], BitVector(val, 4)))
builder.process(Expect(circ.O[i], BitVector(val, 4)))
expected.append(val)
assert builder.vectors == [[Array(expected, 3), Array(expected, 3)]]
| 34.156863 | 72 | 0.650402 | 225 | 1,742 | 4.995556 | 0.204444 | 0.035587 | 0.185943 | 0.160142 | 0.518683 | 0.475979 | 0.475979 | 0.475979 | 0.439502 | 0.439502 | 0 | 0.035997 | 0.202641 | 1,742 | 50 | 73 | 34.84 | 0.773218 | 0 | 0 | 0.227273 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.136364 | 1 | 0.068182 | false | 0 | 0.159091 | 0 | 0.227273 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
bb7adaab6673424dd5ada11b0d613c8cef5dde80 | 131 | py | Python | python/ops/ops_pred_08_1.py | jasarsoft/examples | d6fddfcb8c50c31fbfe170a3edd2b6c07890f13e | [
"MIT"
] | null | null | null | python/ops/ops_pred_08_1.py | jasarsoft/examples | d6fddfcb8c50c31fbfe170a3edd2b6c07890f13e | [
"MIT"
] | null | null | null | python/ops/ops_pred_08_1.py | jasarsoft/examples | d6fddfcb8c50c31fbfe170a3edd2b6c07890f13e | [
"MIT"
] | null | null | null | broj = -1
while broj != 0:
print("Trenutni broj je " + str(broj))
broj = int(intpu("Unesite novi broj: "))
print("Kraj")
| 16.375 | 44 | 0.587786 | 19 | 131 | 4.052632 | 0.684211 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019802 | 0.229008 | 131 | 7 | 45 | 18.714286 | 0.742574 | 0 | 0 | 0 | 0 | 0 | 0.305344 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.4 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
bb8b0ff4b958c3b1f7dd74e99027ca63d6e37d4d | 5,116 | py | Python | Tutorial6AddCertificates/ecus/impl_ecu_myprotocol.py | arturmrowca/IVNS | 8915142d16debe4af780a9eb6859e44dea2ca7e6 | [
"MIT"
] | null | null | null | Tutorial6AddCertificates/ecus/impl_ecu_myprotocol.py | arturmrowca/IVNS | 8915142d16debe4af780a9eb6859e44dea2ca7e6 | [
"MIT"
] | null | null | null | Tutorial6AddCertificates/ecus/impl_ecu_myprotocol.py | arturmrowca/IVNS | 8915142d16debe4af780a9eb6859e44dea2ca7e6 | [
"MIT"
] | 2 | 2018-08-04T07:43:51.000Z | 2018-12-14T14:59:46.000Z | from components.base.ecu.types.impl_ecu_simple import SimpleECU
from components.base.ecu.software.ecu_software import ECUSoftware
from components.security.ecu.software.impl_app_layer_secure import SecureApplicationLayer
from layers.impl_comm_module_my_protocol import MyProtocolCommModule
class MyProtocolECU(SimpleECU):
def __init__(self, sim_env=None, ecu_id=None, data_rate=None, size_sending_buffer=None, size_receive_buffer=None):
''' Constructor
Input: sim_env simpy.Environment environment in which this ECU lives
ecu_id string id of this ECU component
data_rate integer data_rate of the connected bus
size_sending_buffer float size of the sending buffer of this ECU
size_receive_buffer float size of the receiving buffer of this ECU
Output: -
'''
# set settings
self.set_settings()
if sim_env == None: return
# set SW and HW
SimpleECU.__init__(self, sim_env, ecu_id, data_rate, size_sending_buffer, size_receive_buffer)
self.ecuSW = ECUSoftware(sim_env, MyProtocolCommModule(sim_env, ecu_id), SecureApplicationLayer(sim_env, ecu_id))
# connect
self._connect_hw_sw()
def add_sending(self, start_time, interval, message_id, data, data_len):
''' this method adds a new sending action to the application layer of this
ECU. Then the message will start sending messages in the defined interval
starting at the specified start_time
Input: start_time float time at which the first message is sent
interval float period within which the messages are sent
message_id integer message identifier of the messages that are sent
data object/.. content of the messages that are sent
data_length float size of one message
Output: -
'''
self.ecuSW.app_lay.add_sending(start_time, interval, message_id, data, data_len)
def get_type_id(self):
''' returns the id of this ECU type
Input: -
Output: ecu_type string type of this ECU; e.g.'TLSECU'
'''
return "MyProtocolECU"
def add_stream(self, new_stream):
''' this method adds a new stream that is allowed to the TESLA environment.
This stream will then be legal and the ECUs will send according to those
streams.
Input: new_stream MessageStream message stream that is added to the environment
Output: -
'''
# push to communication module
self.ecuSW.comm_mod.add_stream(new_stream)
# add HW filter
if self.ecu_id in new_stream.receivers and \
new_stream.message_id not in self._allowed_streams:
self._allowed_streams += [new_stream.message_id]
self.ecuHW.transceiver.install_filter(self._allowed_streams)
def set_max_message_number(self, nr_messages):
''' sets the number of messages that are sent by this ecu per
stream
Input: nr_messages int number of messages sent
Output: -
'''
self.ecuSW.app_lay.set_max_message_number(nr_messages)
def set_settings(self):
''' sets the initial setting association between the settings variables
and the actual parameter
Input: -
Output: -
'''
self.settings = {}
return self.settings
def monitor_update(self):
''' returns a list of monitor inputs
Input: -
Output: list list list of MonitorInput objects
'''
return self.ecuSW.comm_mod.monitor_update()
'''class StdTLSECUTimingFunctions(object):
def __init__(self, main_library_tag='CyaSSL'):
self.available_tags = ['CyaSSL', 'Crypto_Lib_HW', 'Crypto_Lib_SW']
self.library_tag = main_library_tag # e.g. CyaSSL, or CryptoLib
self.function_map = {}
# Record Layer
self.function_map['t_tls_record_compression'] = self.c_t_tls_record_compression
self.function_map['t_tls_record_decompression'] = self.c_t_tls_record_decompression
def get_function_map(self):
return self.function_map
def c_t_timing_function_1(self, msg_size, compr_alg):
if compr_alg == CompressionMethod.NULL:
return 0
return 0
def c_t_timing_function_2(self, compressed_msg_size, compr_alg):
if compr_alg == CompressionMethod.NULL:
return 0
return 0
''' | 38.757576 | 121 | 0.59226 | 593 | 5,116 | 4.860034 | 0.291737 | 0.019431 | 0.018737 | 0.01145 | 0.176266 | 0.104094 | 0.086745 | 0.067314 | 0.041638 | 0.041638 | 0 | 0.001808 | 0.351446 | 5,116 | 132 | 122 | 38.757576 | 0.866787 | 0.36337 | 0 | 0 | 0 | 0 | 0.007054 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.142857 | 0 | 0.535714 | 0 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
bb8e5918c30de2d5a8bc85cf692c89a1517f1423 | 611 | py | Python | rail/core/types.py | yanzastro/RAIL | 588ad550b21bcd60a8c33243f720ee3729f6ab7e | [
"MIT"
] | null | null | null | rail/core/types.py | yanzastro/RAIL | 588ad550b21bcd60a8c33243f720ee3729f6ab7e | [
"MIT"
] | null | null | null | rail/core/types.py | yanzastro/RAIL | 588ad550b21bcd60a8c33243f720ee3729f6ab7e | [
"MIT"
] | null | null | null | """ Data types for RAIL File Input/Output """
#from rail.core.data import DataFile
#class TextFile(DataFile):
# """
# A data file in plain text format.
# """
# suffix = "txt"
# format = "http://edamontology.org/format_2330"
#@classmethod
#def read(cls, path):
#@classmethod
#def write(cls, data, path, **kwargs):
#class YamlFile(DataFile):
# """
# A data file in yaml format.
# """
# suffix = "yml"
# format = "http://edamontology.org/format_3750"
#@classmethod
#def read(cls, path):
#@classmethod
#def write(cls, data, path, **kwargs):
| 17.457143 | 51 | 0.592471 | 72 | 611 | 5 | 0.486111 | 0.155556 | 0.072222 | 0.094444 | 0.616667 | 0.338889 | 0.338889 | 0.338889 | 0.338889 | 0.338889 | 0 | 0.017316 | 0.243863 | 611 | 34 | 52 | 17.970588 | 0.761905 | 0.847791 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
bb951da4fdd7401ded5d6eaf3e9662429746142e | 384 | py | Python | src/modules/graph.py | fivegrant/yhack2019 | 53e9dce61eeef3a8fd28565d282cc6894b9a844b | [
"MIT"
] | null | null | null | src/modules/graph.py | fivegrant/yhack2019 | 53e9dce61eeef3a8fd28565d282cc6894b9a844b | [
"MIT"
] | null | null | null | src/modules/graph.py | fivegrant/yhack2019 | 53e9dce61eeef3a8fd28565d282cc6894b9a844b | [
"MIT"
] | null | null | null | from neo4j import GraphDatabase
class AddressGraph:
def __init__(self, address, password):
self.connection = GraphDatabase.driver(address, auth=("neo4j", password))
def write(self, query):
with self.connection.session() as session:
session.run(query)
def read(self, query):
with self.connection.session() as session:
return session.run(query)
| 24 | 77 | 0.700521 | 46 | 384 | 5.76087 | 0.478261 | 0.158491 | 0.098113 | 0.128302 | 0.324528 | 0.324528 | 0.324528 | 0.324528 | 0 | 0 | 0 | 0.006431 | 0.190104 | 384 | 15 | 78 | 25.6 | 0.845659 | 0 | 0 | 0.2 | 0 | 0 | 0.013021 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.3 | false | 0.2 | 0.1 | 0 | 0.6 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 2 |
bb97c772ebb54c240c1d9314d59370b1eedea9cc | 832 | py | Python | perception/sub8_perception/sub8_vision_tools/labelling/pickle_combiner.py | ericgorday/SubjuGator | f45ac790f06eb97efc0b0810a7b43d0a6e2facee | [
"MIT"
] | 27 | 2020-02-17T21:54:09.000Z | 2022-03-18T17:49:23.000Z | perception/sub8_perception/sub8_vision_tools/labelling/pickle_combiner.py | ericgorday/SubjuGator | f45ac790f06eb97efc0b0810a7b43d0a6e2facee | [
"MIT"
] | 325 | 2019-09-11T14:13:56.000Z | 2022-03-31T00:38:30.000Z | perception/sub8_perception/sub8_vision_tools/labelling/pickle_combiner.py | ericgorday/SubjuGator | f45ac790f06eb97efc0b0810a7b43d0a6e2facee | [
"MIT"
] | 24 | 2019-09-16T00:29:45.000Z | 2022-03-06T10:56:38.000Z | import pickle
import argparse
import sys
if __name__ == '__main__':
usage_msg = ("Pass the path to an arbitrary number of pickle files.")
desc_msg = "Used to combine multiple pickles into one."
parser = argparse.ArgumentParser(usage=usage_msg, description=desc_msg)
parser.add_argument(dest='pickles', nargs="*",
help="List of pickles to combine.")
parser.add_argument('--output', type=str, help="Path to a file to output to (and overwrite)",
default='combine.p')
args = parser.parse_args(sys.argv[1:])
out_pickle = []
print "Loading pickles."
for pickle_file in args.pickles:
out_pickle += pickle.load(open(pickle_file, 'rb'))
print "Pickles loaded - saving."
pickle.dump(out_pickle, open(args.output, 'wb'))
print "Done!"
| 34.666667 | 97 | 0.651442 | 110 | 832 | 4.745455 | 0.545455 | 0.051724 | 0.065134 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001555 | 0.227163 | 832 | 23 | 98 | 36.173913 | 0.810264 | 0 | 0 | 0 | 0 | 0 | 0.296875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.052632 | 0.157895 | null | null | 0.157895 | 0 | 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 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
bbaaa10ee3c3d804db37accd46d0b8698161f1e0 | 2,004 | py | Python | megalista_dataflow/models/sheets_config.py | omnicomdatahousecl/megalista | a8085608263b592a9ace144809d6352b5f24e58d | [
"Apache-2.0"
] | 44 | 2021-03-10T15:41:50.000Z | 2022-02-28T11:21:37.000Z | megalista_dataflow/models/sheets_config.py | QPC-database/megalista | 0d74da9129886969ee1ddeb2c59ead15a98eb99a | [
"Apache-2.0"
] | 42 | 2021-04-29T14:16:21.000Z | 2022-03-01T08:03:15.000Z | megalista_dataflow/models/sheets_config.py | QPC-database/megalista | 0d74da9129886969ee1ddeb2c59ead15a98eb99a | [
"Apache-2.0"
] | 25 | 2021-03-10T00:53:12.000Z | 2022-03-29T16:09:58.000Z | # Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from google.oauth2.credentials import Credentials
from googleapiclient.discovery import build
class SheetsConfig:
def __init__(self, oauth_credentials):
self._oauth_credentials = oauth_credentials
self._sheets_service = None
def _get_sheets_service(self):
if not self._sheets_service:
credentials = Credentials(
token=self._oauth_credentials.get_access_token(),
refresh_token=self._oauth_credentials.get_refresh_token(),
client_id=self._oauth_credentials.get_client_id(),
client_secret=self._oauth_credentials.get_client_secret(),
token_uri='https://accounts.google.com/o/oauth2/token',
scopes=['https://www.googleapis.com/auth/spreadsheets.readonly'])
self._sheets_service = build('sheets', 'v4', credentials=credentials)
return self._sheets_service
def to_dict(self, config):
return dict(map(lambda x: (x[0], {"op": x[1], "value": x[2], "multiplier": x[3]}), config))
def get_config(self, sheet_id, range):
config_range = self.get_range(sheet_id, range)
return self.to_dict(config_range['values'])
def get_range(self, sheet_id, range):
return self._get_sheets_service().spreadsheets().values().get(spreadsheetId=sheet_id, range=range).execute()
def get_value(self, sheet_id, range):
range = self.get_range(sheet_id, range)
if range.get('values') is None:
return None
return range['values'][0][0]
| 38.538462 | 112 | 0.734032 | 281 | 2,004 | 5.032028 | 0.402135 | 0.079208 | 0.084866 | 0.065064 | 0.144272 | 0.041018 | 0.041018 | 0 | 0 | 0 | 0 | 0.010077 | 0.158184 | 2,004 | 51 | 113 | 39.294118 | 0.828097 | 0.273453 | 0 | 0 | 0 | 0 | 0.0957 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.206897 | false | 0 | 0.068966 | 0.068966 | 0.517241 | 0 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
bbcbfd030bf327db3008e8ad83a4f8b6b210dfef | 925 | py | Python | torrentsearchengine/torrent.py | AlexCovizzi/torrent-search-engine | 926092232dbfda40da7785daca4b845282b505d3 | [
"Apache-2.0"
] | 4 | 2020-03-18T16:32:05.000Z | 2022-03-13T01:00:13.000Z | torrentsearchengine/torrent.py | AlexCovizzi/torrent-search-engine | 926092232dbfda40da7785daca4b845282b505d3 | [
"Apache-2.0"
] | 1 | 2021-06-01T23:57:58.000Z | 2021-06-01T23:57:58.000Z | torrentsearchengine/torrent.py | AlexCovizzi/torrent-search-engine | 926092232dbfda40da7785daca4b845282b505d3 | [
"Apache-2.0"
] | 1 | 2020-11-02T10:55:04.000Z | 2020-11-02T10:55:04.000Z | from .utils import simple_hash
from .torrentbase import TorrentBase
from .torrentdetails import TorrentDetails
class Torrent(TorrentBase):
def fetch_details(self, timeout=30) -> TorrentDetails:
"""
Retrieve details about this torrent (e.g link, description, files...)
Parameters:
timeout: int - Timeout in seconds.
Returns:
TorrentDetails - Torrent details.
Raises:
ValueError - Missing some properties.
RequestError - Something went wrong requesting the search page.
Timeout - The search lasted longer than timeout.
"""
details_data = self.provider.fetch_details_data(self, timeout)
# the torrent details are a combination of the data
# we already have and the new data found in the info page
details = TorrentDetails(**{**self.data, **details_data})
return details
| 33.035714 | 77 | 0.656216 | 101 | 925 | 5.950495 | 0.574257 | 0.054908 | 0.049917 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00299 | 0.276757 | 925 | 27 | 78 | 34.259259 | 0.895366 | 0.484324 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.375 | 0 | 0.75 | 0 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
bbd92d03871a2a41ce32b7b09558665fac74362b | 3,999 | py | Python | testAPI.py | DarkDisasters/winglets_python | 4b8a13ef8aefae6ffc0e59a87aa5131036bd2dff | [
"MIT"
] | 2 | 2021-12-28T07:46:35.000Z | 2022-01-13T19:44:44.000Z | testAPI.py | DarkDisasters/winglets_python | 4b8a13ef8aefae6ffc0e59a87aa5131036bd2dff | [
"MIT"
] | null | null | null | testAPI.py | DarkDisasters/winglets_python | 4b8a13ef8aefae6ffc0e59a87aa5131036bd2dff | [
"MIT"
] | 1 | 2021-05-27T10:58:55.000Z | 2021-05-27T10:58:55.000Z | import Winglets
import json
import math
## Prepare Data
dataDict = {}
dataArray = []
f = open('./testFile.json', 'r')
dataDict = json.loads(f.read())
for curKey in dataDict['dots'].keys():
curArrDictData = dataDict['dots'][curKey]
curKeyArr = []
for i in range(len(curArrDictData)):
curKeyArr.append([curArrDictData[i]['x'], curArrDictData[i]['y']])
dataArray.append(curKeyArr)
dataArrayTest = [
[
[2,3],
[4,6],
[4,5],
[3,2],
[6,5],
[5,6],
[1,2],
[2,4]
]
]
dataArrayTest1 = [
[
[-1.8467827164233757, -0.32359462877408124],
[-0.7646302727249497, -0.20169742403492624],
[-1.9490266612960963, -0.06872107311219157],
[-1.3985176033785436, -0.1394565639809605],
[-1.3192884234119042, 0.10408209719246732],
[-1.3008685617349127, -0.11898413174114462],
[-1.6118388742131056, -0.0825317789879439],
[-1.5480362947416044, 0.05477850586236834],
[-0.5204018281010724, -0.0064287721502440396],
[-1.3260328260134568, 0.0192675336368897],
[-1.3673899592569305, 0.02269954670743994],
[-1.8011236429571018, -0.2943896776054888],
[-1.2543877120537488, 0.013826796210314464],
[-1.7624360292903625, -0.13316404689552958],
[-2.1375891691271023, -0.10481913067508605],
[-1.0797929311491847, -0.006604367860836293],
[-1.9291588152470303, -0.05091304686418803],
[-2.070795065814931, 0.3587612219744936],
[-1.930805837668947, 0.19656344116061403],
[-1.7169013639633552, -0.19956534844023005],
[-1.030997817981172, 0.019922204353402286]
],
[
[-0.5245786836857915, -0.009288441027319272],
[-1.5975406720074177, -0.164711589213956],
[-0.5238814441706277, -0.009185694875345709],
[-0.5376809953080502, -0.020119170111257204],
[-0.6552283992534788, -0.07678937700237982]
]
]
for i in range(len(dataArrayTest1)):
for j in range(len(dataArrayTest1[i])):
if dataArrayTest1[i][j][0] < 0:
dataArrayTest1[i][j][0] *= -1
if dataArrayTest1[i][j][1] < 0:
dataArrayTest1[i][j][1] *= -1
dataArrayTest1[i][j] = [dataArrayTest1[i][j][0] * 100, dataArrayTest1[i][j][1] * 100 ]
## Test Circle
# Winglets.drawCirlce(dataArray, ['#d7191c', '#fdae61', '#abdda4','#2b83ba'], False)
# Winglets.drawCirlce(dataDict['dots'], ['#d7191c', '#fdae61', '#abdda4','#2b83ba'], False)
# Winglets.drawCirlce(dataArray, ['#d7191c', '#fdae61', '#abdda4','#2b83ba'])
# Winglets.drawCirlce(dataDict['dots'], ['#d7191c', '#fdae61', '#abdda4','#2b83ba'])
# Winglets.drawCirlce(dataDict['dots'], ['#d7191c', '#abdda4','#2b83ba'])
## Test Winglets
# Winglets.drawWinglets(dataArrayTest1, ['#d7191c', '#fdae61', '#abdda4','#2b83ba'], False)
# Winglets.drawWinglets(dataArray, ['#d7191c', '#fdae61', '#abdda4','#2b83ba'])
Winglets.drawWinglets(dataDict['dots'], ['#d7191c', '#fdae61', '#abdda4','#2b83ba'])
# Winglets.drawWinglets(dataDict['dots'], ['#d7191c', '#fdae61', '#abdda4','#2b83ba'], False)
# Winglets.drawWinglets(dataArray, ['#d7191c', '#fdae61', '#abdda4'])
## Test CommonFate
# Winglets.drawCommonFate(dataArray, ['#d7191c', '#fdae61', '#abdda4','#2b83ba'])
# Winglets.drawCommonFate(dataDict['dots'], ['#d7191c', '#fdae61', '#abdda4','#2b83ba'])
# Winglets.drawCommonFate(dataDict['dots'], ['#d7191c', '#fdae61', '#abdda4'])
## Test Proximity
# Winglets.drawProximity(dataArray, ['#d7191c', '#fdae61', '#abdda4','#2b83ba'])
# Winglets.drawProximity(dataDict['dots'], ['#d7191c', '#fdae61', '#abdda4','#2b83ba']) | 41.65625 | 94 | 0.570643 | 340 | 3,999 | 6.711765 | 0.305882 | 0.07362 | 0.110429 | 0.126205 | 0.328659 | 0.316389 | 0.278703 | 0.245837 | 0.216477 | 0.166521 | 0 | 0.361561 | 0.244061 | 3,999 | 96 | 95 | 41.65625 | 0.393318 | 0.289322 | 0 | 0 | 0 | 0 | 0.020976 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.046154 | 0 | 0.046154 | 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 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
bbd9ccdac60a4406d16e15c4b27b1167f75d0c9e | 890 | py | Python | src/test/processors/test_pre_processing.py | hiitsme123/python | e08309fe61fd5ed88cfb39e9f402613dd7e39269 | [
"MIT"
] | null | null | null | src/test/processors/test_pre_processing.py | hiitsme123/python | e08309fe61fd5ed88cfb39e9f402613dd7e39269 | [
"MIT"
] | null | null | null | src/test/processors/test_pre_processing.py | hiitsme123/python | e08309fe61fd5ed88cfb39e9f402613dd7e39269 | [
"MIT"
] | null | null | null | import unittest
from programy.processors.pre.toupper import ToUpperPreProcessor
from programy.processors.pre.normalize import NormalizePreProcessor
from programy.bot import Bot
from programy.brain import Brain
from programy.config.brain import BrainConfiguration
from programy.config.bot import BotConfiguration
class PreProcessingTests(unittest.TestCase):
def setUp(self):
self.bot = Bot(Brain(BrainConfiguration()), config=BotConfiguration())
def test_pre_cleanup(self):
test_str = "Hello World"
normalize_processor = NormalizePreProcessor()
pass1_str = normalize_processor.process(self.bot, "testid", test_str)
self.assertEqual("Hello World", pass1_str)
toupper_processor = ToUpperPreProcessor()
pass2_str = toupper_processor.process(self.bot, "testid", pass1_str)
self.assertEqual("HELLO WORLD", pass2_str)
| 34.230769 | 78 | 0.759551 | 99 | 890 | 6.69697 | 0.323232 | 0.108597 | 0.066365 | 0.075415 | 0.171946 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006676 | 0.158427 | 890 | 25 | 79 | 35.6 | 0.878505 | 0 | 0 | 0 | 0 | 0 | 0.050562 | 0 | 0 | 0 | 0 | 0 | 0.111111 | 1 | 0.111111 | false | 0.222222 | 0.388889 | 0 | 0.555556 | 0 | 0 | 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 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 2 |
bbddfda22176dac0635ff7d021d70c9fd2da5662 | 1,145 | py | Python | adventure_game/models/room.py | Def4l71diot/A-Day-in-the-Kremlin | 6f62ecf07980beba8804114b007d6bd7a4f55cc7 | [
"MIT"
] | 2 | 2017-10-26T10:25:51.000Z | 2017-10-26T10:57:23.000Z | adventure_game/models/room.py | Def4l71diot/A-Day-in-the-Kremlin | 6f62ecf07980beba8804114b007d6bd7a4f55cc7 | [
"MIT"
] | null | null | null | adventure_game/models/room.py | Def4l71diot/A-Day-in-the-Kremlin | 6f62ecf07980beba8804114b007d6bd7a4f55cc7 | [
"MIT"
] | null | null | null | from adventure_game.models.contracts import IRoom
class Room(IRoom):
def __init__(self,
room_id,
name=None,
description=None,
items=None,
exits=None,
puzzles=None):
self._id = room_id
self._name = name
self._description = description
self._items = items if items else []
self._exits = exits if exits else {}
self._puzzles = puzzles if puzzles else []
@property
def puzzles(self):
return self._puzzles
@property
def exits(self):
return self._exits
@property
def description(self):
return self._description
@description.setter
def description(self, value):
self._description = value
@property
def name(self):
return self._name
@property
def items(self):
return self._items
@property
def id(self):
return self._id
def check_if_completed(self):
for puzzle in self.puzzles:
if not puzzle.is_solved:
return False
return True
| 21.203704 | 50 | 0.561572 | 123 | 1,145 | 5.04065 | 0.284553 | 0.106452 | 0.135484 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.366812 | 1,145 | 53 | 51 | 21.603774 | 0.855172 | 0 | 0 | 0.146341 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.219512 | false | 0 | 0.02439 | 0.146341 | 0.463415 | 0 | 0 | 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 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
bbe04754f97a677070f3ab6a59501c2884862a3b | 263 | py | Python | cmit_facepipe.py | ShawnZhang31/facepipe | 5f08a121a27674445e5d2b2833eb5aeafc1726aa | [
"MIT"
] | 1 | 2021-06-12T12:53:33.000Z | 2021-06-12T12:53:33.000Z | cmit_facepipe.py | ShawnZhang31/facepipe | 5f08a121a27674445e5d2b2833eb5aeafc1726aa | [
"MIT"
] | null | null | null | cmit_facepipe.py | ShawnZhang31/facepipe | 5f08a121a27674445e5d2b2833eb5aeafc1726aa | [
"MIT"
] | null | null | null | # 应用脚本
import os
from webapp import create_app
from dotenv import load_dotenv
dotenv_path = os.path.join(os.path.dirname(__file__), '.env')
if os.path.exists(dotenv_path):
load_dotenv(dotenv_path)
app = create_app(os.getenv("APP_CONFIG") or "production")
| 20.230769 | 61 | 0.760456 | 42 | 263 | 4.47619 | 0.47619 | 0.159574 | 0.170213 | 0.212766 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.121673 | 263 | 12 | 62 | 21.916667 | 0.813853 | 0.015209 | 0 | 0 | 0 | 0 | 0.09375 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.428571 | 0 | 0.428571 | 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 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
a54ac23bee9f8c01ff79cea635bf73592e7f4962 | 457 | py | Python | uumpa_ci_toolbox/kubectl/cli.py | CloudWebManage/uumpa-ci-toolbox | 807a483b65f3ec28787300499d961338a9d6bc4a | [
"MIT"
] | 3 | 2021-08-30T09:44:19.000Z | 2021-11-08T11:24:05.000Z | uumpa_ci_toolbox/kubectl/cli.py | CloudWebManage/uumpa-ci-toolbox | 807a483b65f3ec28787300499d961338a9d6bc4a | [
"MIT"
] | null | null | null | uumpa_ci_toolbox/kubectl/cli.py | CloudWebManage/uumpa-ci-toolbox | 807a483b65f3ec28787300499d961338a9d6bc4a | [
"MIT"
] | 1 | 2021-08-30T07:54:11.000Z | 2021-08-30T07:54:11.000Z | import click
from uumpa_ci_toolbox import common
from . import api
@click.group()
def kubectl():
pass
@kubectl.command()
@click.option('--version', required=True, help='Kubectl version to install, e.g. "v1.19.0"')
@click.option('--target-filename', default='/usr/local/bin/kubectl')
@click.option('--with-sudo', is_flag=True)
def install(**kwargs):
"""Install Kubectl in the given version"""
api.install(**kwargs)
common.cli_success()
| 21.761905 | 92 | 0.695842 | 64 | 457 | 4.90625 | 0.640625 | 0.105096 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01005 | 0.129103 | 457 | 20 | 93 | 22.85 | 0.778894 | 0.078775 | 0 | 0 | 0 | 0 | 0.243373 | 0.053012 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153846 | true | 0.076923 | 0.230769 | 0 | 0.384615 | 0 | 0 | 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 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
a5539ddb7d0fa0599f96411d55c658c3db5715be | 900 | py | Python | rknreporter.py | KindEvilDm/RKNreporter | 0102a7cede9060d09e640834fe3bcf1f88f4786a | [
"MIT"
] | 2 | 2021-09-03T17:41:46.000Z | 2021-09-07T10:47:20.000Z | rknreporter.py | KindEvilDm/RKNreporter | 0102a7cede9060d09e640834fe3bcf1f88f4786a | [
"MIT"
] | 4 | 2021-03-18T22:00:07.000Z | 2022-03-11T23:38:25.000Z | rknreporter.py | KindEvilDm/RKNreporter | 0102a7cede9060d09e640834fe3bcf1f88f4786a | [
"MIT"
] | 1 | 2019-06-20T14:53:52.000Z | 2019-06-20T14:53:52.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import argparse
from reporter import Reporter
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--orgname", help="Название организации")
parser.add_argument("--login", help="Логин на portal.rfc-revizor.ru")
parser.add_argument("--password", help="Пароль на portal.rfc-revizor.ru")
parser.add_argument("--date", help="Дата в формате 01.01.2018")
parser.add_argument("--retry-count", help="Кол-во попыток.")
parser.add_argument("--notify", help="Куда отправлять (telegram/email)")
parser.add_argument("--contact", help="адрес (почта или tg-id)")
parser.add_argument("--config", help="Файл конфигурации.")
args = parser.parse_args()
argsdict = vars(args)
reporter = Reporter(**argsdict)
is_ok = reporter.get_report()
if is_ok:
reporter.parse_and_send()
| 33.333333 | 77 | 0.683333 | 116 | 900 | 5.112069 | 0.568966 | 0.121417 | 0.229342 | 0.060708 | 0.124789 | 0.124789 | 0.124789 | 0.124789 | 0 | 0 | 0 | 0.013089 | 0.151111 | 900 | 26 | 78 | 34.615385 | 0.763089 | 0.047778 | 0 | 0 | 0 | 0 | 0.318129 | 0.049123 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.055556 | 0.111111 | 0 | 0.111111 | 0 | 0 | 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 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
a564a8e4e68f918f6ce1da1ca637ef17a9cfe848 | 882 | py | Python | testscripts/testtmhomepage.py | fingerella2000/e2enuggets | 8f2c6a88106985a3409bb032de1d2b9b7dcfb2fe | [
"MIT"
] | null | null | null | testscripts/testtmhomepage.py | fingerella2000/e2enuggets | 8f2c6a88106985a3409bb032de1d2b9b7dcfb2fe | [
"MIT"
] | null | null | null | testscripts/testtmhomepage.py | fingerella2000/e2enuggets | 8f2c6a88106985a3409bb032de1d2b9b7dcfb2fe | [
"MIT"
] | null | null | null | import sys
import os
sys.path.append(os.getcwd())
import unittest
import logging
from selenium import webdriver
from tmbasetest import TMBaseTest
from uiautomation.common import Constants
from uiautomation.common import BaseWebDriver
from uiautomation.pages.tmhomepage import TMHomePage
# class TestTMHomePage(TMBaseTest):
class TestTMHomePage(unittest.TestCase):
def setUp(self):
self.driver = BaseWebDriver.getDriver(self)
self.driver.get(Constants.TM_BASE_URL)
def testSearchAndView(self):
self.home_page = TMHomePage(self.driver)
self.assertTrue(self.home_page.search(Constants.SEARCH_KEY_WORDS))
self.assertTrue(self.home_page.viewTopPages(3))
def tearDown(self):
for handle in self.driver.window_handles:
self.driver.switch_to.window(handle)
# self.driver.close()
| 30.413793 | 81 | 0.729025 | 104 | 882 | 6.096154 | 0.461538 | 0.094637 | 0.056782 | 0.088328 | 0.082019 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001401 | 0.190476 | 882 | 28 | 82 | 31.5 | 0.886555 | 0.064626 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.095238 | 1 | 0.142857 | false | 0 | 0.428571 | 0 | 0.619048 | 0 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
a56adb586c4746ad2024352179dee996d2fccb87 | 2,137 | py | Python | pic_analyzer_python/image.py | 610yilingliu/simi_pic_detection | b523a388831e1968fadd065bb8e77099f9f80567 | [
"MIT"
] | null | null | null | pic_analyzer_python/image.py | 610yilingliu/simi_pic_detection | b523a388831e1968fadd065bb8e77099f9f80567 | [
"MIT"
] | null | null | null | pic_analyzer_python/image.py | 610yilingliu/simi_pic_detection | b523a388831e1968fadd065bb8e77099f9f80567 | [
"MIT"
] | null | null | null | import numpy as np
from PIL import Image
import matplotlib.pyplot as plt
import cv2
import os
class input_img(object):
def __init__(self, pic_path):
self.__path = pic_path
self.__image = Image.open(pic_path)
self.__rgb_np = np.array(self.__image)
self.__name = os.path.basename(pic_path)
self.__hsv = cv2.cvtColor(self.__rgb_np, cv2.COLOR_RGB2HSV)
self.__hsv_np = np.array(self.__hsv)
def get_name(self):
return self.__name
def get_image(self):
return self.__image
def getrgb_np(self):
return self.__rgb_np
def getpath(self):
return self.__path
def getRchannel(self):
rgb_np = self.__rgb_np
R = rgb_np[:,:,0]
return R
def getGchannel(self):
rgb_np = self.__rgb_np
G = rgb_np[:,:,1]
return G
def getBchannel(self):
rgb_np = self.__rgb_np
B = rgb_np[:,:,2]
return B
def gethsv(self):
return self.__hsv
def gethsv_np(self):
return self.__hsv_np
def getHchannel(self):
hsv_np = self.__hsv_np
return hsv_np[:,:,0]
def getSchannel(self):
hsv_np = self.__hsv_np
return hsv_np[:,:,1]
def getVchannel(self):
hsv_np = self.__hsv_np
return hsv_np[:,:,2]
def getgrayimage(self):
img = self.__rgb_np
gray_img = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
out_img = cv2.cvtColor(gray_img, cv2.COLOR_GRAY2RGB)
return out_img
def getbwimages(self, thresholds = [40, 80, 120, 160, 200]):
gray_img = cv2.cvtColor(self.getgrayimage(), cv2.COLOR_RGB2GRAY)
bw_dic = dict()
for i in range(len(thresholds)):
bw = cv2.threshold(gray_img, thresholds[i], 255, cv2.THRESH_BINARY)[1]
bw_dic['bw' + str(i)] = cv2.cvtColor(bw, cv2.COLOR_GRAY2RGB)
return bw_dic
def showimg(image):
plt.imshow(image)
plt.show()
if __name__ == '__main__':
p = input_img('../pics/raw_1.jpg')
G = p.getGchannel()
B = p.getBchannel()
R = p.getSchannel()
showimg(R)
| 24.284091 | 82 | 0.598971 | 296 | 2,137 | 3.966216 | 0.273649 | 0.055366 | 0.076661 | 0.03322 | 0.120102 | 0.120102 | 0.074106 | 0.074106 | 0.074106 | 0 | 0 | 0.027595 | 0.287787 | 2,137 | 88 | 83 | 24.284091 | 0.743758 | 0 | 0 | 0.089552 | 0 | 0 | 0.012629 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.238806 | false | 0 | 0.074627 | 0.089552 | 0.537313 | 0 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
a5962e7e5549e8f7ad4dea14758b733bebbd84cd | 2,687 | py | Python | src/questions/questions1.py | odinosaur/gamimg | 79a9576b2f68cba2240a135a28f509d57225efc7 | [
"MIT"
] | null | null | null | src/questions/questions1.py | odinosaur/gamimg | 79a9576b2f68cba2240a135a28f509d57225efc7 | [
"MIT"
] | null | null | null | src/questions/questions1.py | odinosaur/gamimg | 79a9576b2f68cba2240a135a28f509d57225efc7 | [
"MIT"
] | null | null | null | # Solve the following with a comment for the answer below
# True or False is
# true
# True and True is
# true
# (True and False) or True is
# true
# Not False is
# true
# 1 or 0 is
# 1 :: Technicaly 1 or 0 is True because a boolean statement can only solve to True or False HOWEVER 1 == True mathematically so this is fine
# not(False or False) and (True or False) is
# true
# True ^ True is
# false
# (True or False) and 3 > 2 is
# true
# Name each of the operators and explain what they do
# > greater than (eg 5 > 3 = true)
# < less than (eg 3 < 5 = true)
# >= greater than or equal to (eg 3>=3)
# <= less than or equal to (eg 3<=3)
# != not equal to (eg 4 !=2)
# == = compares 2 things and gives true is they are exactly the same (eg true == true solves to {true == true}) :: Technically just solves to True because True == True
# Why do we use if/else/elif statements
# We use if/else/elif statements due to Python using boolean to determine wether things are true or false.
# The use of if/eles/elif statements are a safeguard against possible bugs, for example unintended data value inputs.
# :: While these statements are true, if/else/elif are actually used to control the flow of code, only executing particular segments when boolean conditions are fufilled
# :: This, in turn, safeguards against bugs, but thats not the only reason we use if/else/elif
# In your own words why do we gather requirements
# In an ideal workforce, gathering requirements should be left to a competant project manager.
# However, most of the time the programmer does not live in an ideal workforce, thus it is important to have the skills necesarry to gather requirements independantly.
# Furthermore, having an adept sense of what is and what isn't needed for a project can assist a better outcome for the task as a whole.
# :: The first two sentences here are filler and don't actually answer the question, rather, they comment on the place of a project manager and what a good workforce looks
# :: like. In reality, the reason we gather requirements is so that we have the most strictly defined understanding of what the client needs and wants, as well as a strictly
# :: defined outline of the purpose of the software and why we are creating it in the first place. Requirements also include things like use cases, which are stories that
# :: describe how the customer expects to interact with the software. Requirements also contain constraints such as budgets, timelines, due dates, technology restraints etc etc.
# :: There is much more to why we gather requirements than just getting a better outcome, in short its to achieve the _best_ outcome.
| 53.74 | 177 | 0.739486 | 456 | 2,687 | 4.35307 | 0.414474 | 0.021159 | 0.027708 | 0.016625 | 0.071033 | 0.063476 | 0.017128 | 0 | 0 | 0 | 0 | 0.008891 | 0.204689 | 2,687 | 49 | 178 | 54.836735 | 0.919981 | 0.96725 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
a5a445f7a62d4b2a741e01dabedc9735a9d4fd58 | 319 | py | Python | Season 10 - Advanced Python Development/Episode 06 - Queues in Python.py | Pythobit/Python-tutorial | b0743eaa9c237c3578131ead1b3f2c295f11b7ee | [
"MIT"
] | 3 | 2021-02-19T18:33:00.000Z | 2021-08-03T14:56:50.000Z | Season 10 - Advanced Python Development/Episode 06 - Queues in Python.py | barawalojas/Python-tutorial | 3f4b2b073e421888b3d62ff634658317d9abcb9b | [
"MIT"
] | 1 | 2021-07-10T14:37:57.000Z | 2021-07-20T09:51:39.000Z | Season 10 - Advanced Python Development/Episode 06 - Queues in Python.py | barawalojas/Python-tutorial | 3f4b2b073e421888b3d62ff634658317d9abcb9b | [
"MIT"
] | 1 | 2021-08-02T05:39:38.000Z | 2021-08-02T05:39:38.000Z | # Queue in python
"""
Queue is like people entering in a theatre in queue
i.e: add elements at the end, and remove the elements from the start
A Queue in python is where you can add or remove elements either side is called `deque` or `double ended queue`.
and in the stack, you add and remove from the same end
"""
| 26.583333 | 112 | 0.742947 | 60 | 319 | 3.95 | 0.533333 | 0.059072 | 0.109705 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.206897 | 319 | 11 | 113 | 29 | 0.936759 | 0.962382 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
a5ab4a92eff97a6d076b84fb86a569f8115a7465 | 3,012 | py | Python | aospy_user/calcs/mse_from_hypso_budget.py | spencerahill/aospy-obj-lib | 76803806e8c6b0042c901735eed1c88042d4e4ed | [
"Apache-2.0"
] | 3 | 2015-10-27T19:32:17.000Z | 2021-05-07T12:41:30.000Z | aospy_user/calcs/mse_from_hypso_budget.py | spencerahill/aospy-obj-lib | 76803806e8c6b0042c901735eed1c88042d4e4ed | [
"Apache-2.0"
] | 11 | 2015-09-25T15:45:59.000Z | 2020-03-31T13:50:29.000Z | aospy_user/calcs/mse_from_hypso_budget.py | spencerahill/aospy-obj-lib | 76803806e8c6b0042c901735eed1c88042d4e4ed | [
"Apache-2.0"
] | null | null | null | """MSE budget functions, with height computed using hypsometric equation."""
from indiff.advec import Upwind
from indiff.deriv import LatCenDeriv, LonCenDeriv
from .. import LAT_STR, LON_STR, PLEVEL_STR
from .advection import (zonal_advec_upwind, merid_advec_upwind,
horiz_advec_upwind)
from .thermo import cpt_lvq, mse_from_hypso
def mse_from_hypso_merid_deriv(ps, temp, sphum):
"""Meridional derivative of frozen MSE on pressure coordinates."""
deriv_obj = LatCenDeriv(mse_from_hypso(ps, temp, sphum), LAT_STR)
return deriv_obj.deriv()
def mse_from_hypso_zonal_deriv(ps, temp, sphum):
"""Zonal derivative of frozen MSE on pressure coordinates."""
deriv_obj = LonCenDeriv(mse_from_hypso(ps, temp, sphum), LON_STR)
return deriv_obj.deriv()
def mse_from_hypso_zonal_advec_upwind(ps, temp, sphum, u, radius, order=2):
"""Zonal advection of moist static energy using upwind scheme."""
return zonal_advec_upwind(mse_from_hypso(ps, temp, sphum), u, radius,
order=order)
def mse_from_hypso_merid_advec_upwind(ps, temp, sphum, v, radius, order=2):
"""Meridional advection of moist static energy using upwind scheme."""
return merid_advec_upwind(mse_from_hypso(ps, temp, sphum), v, radius,
order=order)
def mse_from_hypso_horiz_advec_upwind(ps, temp, sphum, u, v, radius, order=2):
"""Horizontal moist static energy advection using upwind scheme."""
return horiz_advec_upwind(mse_from_hypso(ps, temp, sphum), u, v, radius,
order=order)
def mse_from_hypso_vert_advec_upwind(ps, temp, sphum, omega, p, order=2):
"""Upwind vertical advection of moist static energy."""
return Upwind(omega, mse_from_hypso(ps, temp, sphum), PLEVEL_STR,
coord=p, order=order, fill_edge=True).advec()
def cpt_lvq_merid_deriv(temp, sphum):
"""Meridional derivative of c_p*T + L_v*q on pressure coordinates."""
deriv_obj = LatCenDeriv(cpt_lvq(temp, sphum), LAT_STR)
return deriv_obj.deriv()
def cpt_lvq_zonal_deriv(temp, sphum):
"""Zonal derivative of c_p*T + L_v*q on pressure coordinates."""
deriv_obj = LonCenDeriv(cpt_lvq(temp, sphum), LON_STR)
return deriv_obj.deriv()
def cpt_lvq_zonal_advec_upwind(temp, sphum, u, radius, order=2):
"""Zonal advection of moist static energy using upwind scheme."""
return zonal_advec_upwind(cpt_lvq(temp, sphum), u, radius,
order=order)
def cpt_lvq_merid_advec_upwind(temp, sphum, v, radius, order=2):
"""Meridional advection of moist static energy using upwind scheme."""
return merid_advec_upwind(cpt_lvq(temp, sphum), v, radius,
order=order)
def cpt_lvq_horiz_advec_upwind(temp, sphum, u, v, radius, order=2):
"""Horizontal moist static energy advection using upwind scheme."""
return horiz_advec_upwind(cpt_lvq(temp, sphum), u, v, radius,
order=order)
| 40.16 | 78 | 0.693891 | 428 | 3,012 | 4.63785 | 0.149533 | 0.099748 | 0.078589 | 0.04534 | 0.784887 | 0.697229 | 0.627204 | 0.561713 | 0.517884 | 0.382872 | 0 | 0.002925 | 0.205511 | 3,012 | 74 | 79 | 40.702703 | 0.826578 | 0.243692 | 0 | 0.25641 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.282051 | false | 0 | 0.128205 | 0 | 0.692308 | 0 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
a5ae4c39ece87636935e1c233692fb4b10d9c7e2 | 259 | py | Python | exercicios python/ex017.py | fabiano-filho/python | dafe83d4faf7aba304bdaf4d32ac7a176fa53153 | [
"MIT"
] | null | null | null | exercicios python/ex017.py | fabiano-filho/python | dafe83d4faf7aba304bdaf4d32ac7a176fa53153 | [
"MIT"
] | null | null | null | exercicios python/ex017.py | fabiano-filho/python | dafe83d4faf7aba304bdaf4d32ac7a176fa53153 | [
"MIT"
] | null | null | null | from math import sqrt
catetoO = float(input('Qual o comprimento do cateto oposto? '))
catetoa = float(input('Qual o comprimento do cateto adjacente? '))
hipotenusa = sqrt(catetoO ** 2 + catetoa ** 2)
print('O valor da hipotenusa é {:.2f}'.format(hipotenusa))
| 43.166667 | 66 | 0.722008 | 37 | 259 | 5.054054 | 0.621622 | 0.117647 | 0.149733 | 0.160428 | 0.363636 | 0.363636 | 0.363636 | 0 | 0 | 0 | 0 | 0.013514 | 0.142857 | 259 | 5 | 67 | 51.8 | 0.828829 | 0 | 0 | 0 | 0 | 0 | 0.413127 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0.2 | 0 | 0 | 0 | null | 0 | 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 | 0 | 0 | 2 |
a5b9cdfde64286362173b1f38b02d8a590c291ac | 4,605 | py | Python | commands/dev/roles.py | adl212/Lacan-NTSport-Source-Code | b5b01cbb5cc97b5cbd3a6ebcf90c2e6d82322968 | [
"MIT"
] | 1 | 2021-04-25T18:31:48.000Z | 2021-04-25T18:31:48.000Z | commands/dev/roles.py | adl212/Lacan-NTSport-Source-Code | b5b01cbb5cc97b5cbd3a6ebcf90c2e6d82322968 | [
"MIT"
] | 6 | 2021-03-26T21:18:57.000Z | 2021-05-03T18:04:37.000Z | commands/dev/roles.py | adl212/Lacan-NTSport-Source-Code | b5b01cbb5cc97b5cbd3a6ebcf90c2e6d82322968 | [
"MIT"
] | 4 | 2021-03-06T16:48:36.000Z | 2021-05-23T00:54:09.000Z | '''Add roles to a server'''
from discord.ext import commands
from packages.utils import Embed, ImproperType
import requests, json, os
import discord
class Command(commands.Cog):
def __init__(self, client):
self.client = client
@commands.command()
async def roles(self, ctx):
#return await ctx.send('This command is currently under maintenance. The developers will try to get it up again as soon as possible. In the meantime feel free to use `n.help` to get the other commands. Thank you for your understanding!')
if (ctx.author.id) not in [396075607420567552, 505338178287173642, 637638904513691658]:
embed = Embed('Error!', 'You\'re not a developer of this bot! Click [here](https://www.latlmes.com/entertainment/dev-application-1) to apply for dev.', 'warning')
embed.footer(f'⚙️This command is a 🛠️developer🛠️ only command.⚙️', 'https://cdn.discordapp.com/attachments/719414661686099993/754971786231283712/season-callout-badge.png')
return await embed.send(ctx)
embed = Embed('Success!', f'The roles for `{str(ctx.author.guild.id)}` were created by '+str(ctx.author.name + '#' + ctx.author.discriminator)+'.','white_check_mark')
embed.footer(f'Discord user '+str(ctx.author.name + '#' + ctx.author.discriminator)+' is a 🛠️developer🛠️ of this bot.\n⚙️This command is a 🛠️developer🛠️ only command.⚙️', 'https://media.discordapp.net/attachments/719414661686099993/765490220858081280/output-onlinepngtools_32.png')
guild = ctx.guild
await embed.send(ctx)
await guild.create_role(name="Gold Member", colour=discord.Colour(0xFFFF00))
await guild.create_role(name="Registered")
await guild.create_role(name=">99% Accuracy")
await guild.create_role(name="99% Accuracy")
await guild.create_role(name="98% Accuracy")
await guild.create_role(name="97% Accuracy")
await guild.create_role(name="96% Accuracy")
await guild.create_role(name="94-95% Accuracy")
await guild.create_role(name="90-93% Accuracy")
await guild.create_role(name="87-89% Accuracy")
await guild.create_role(name="84-86% Accuracy")
await guild.create_role(name="80-83% Accuracy")
await guild.create_role(name="75-79% Accuracy")
await guild.create_role(name="<75% Accuracy")
await guild.create_role(name="220+ WPM")
await guild.create_role(name="210-219 WPM")
await guild.create_role(name="200-209 WPM")
await guild.create_role(name="190-199 WPM")
await guild.create_role(name="180-189 WPM")
await guild.create_role(name="170-179 WPM")
await guild.create_role(name="160-169 WPM")
await guild.create_role(name="150-159 WPM")
await guild.create_role(name="140-149 WPM")
await guild.create_role(name="130-139 WPM")
await guild.create_role(name="120-129 WPM")
await guild.create_role(name="110-119 WPM")
await guild.create_role(name="100-109 WPM")
await guild.create_role(name="90-99 WPM")
await guild.create_role(name="80-89 WPM")
await guild.create_role(name="70-79 WPM")
await guild.create_role(name="60-69 WPM")
await guild.create_role(name="50-59 WPM")
await guild.create_role(name="40-49 WPM")
await guild.create_role(name="30-39 WPM")
await guild.create_role(name="20-29 WPM")
await guild.create_role(name="10-19 WPM")
await guild.create_role(name="1-9 WPM")
await guild.create_role(name="500000+ Races")
await guild.create_role(name="250000-499999 Races")
await guild.create_role(name="200000-249999 Races")
await guild.create_role(name="150000-199999 Races")
await guild.create_role(name="100000-149999 Races")
await guild.create_role(name="75000-99999 Races")
await guild.create_role(name="50000-74999 Races")
await guild.create_role(name="40000-49999 Races")
await guild.create_role(name="30000-39999 Races")
await guild.create_role(name="20000-29999 Races")
await guild.create_role(name="10000-19999 Races")
await guild.create_role(name="5000-9999 Races")
await guild.create_role(name="3000-4999 Races")
await guild.create_role(name="1000-2999 Races")
await guild.create_role(name="500-999 Races")
await guild.create_role(name="100-499 Races")
await guild.create_role(name="50-99 Races")
await guild.create_role(name="1-49 Races")
def setup(client):
client.add_cog(Command(client)) | 56.851852 | 289 | 0.679045 | 663 | 4,605 | 4.651584 | 0.316742 | 0.17834 | 0.285344 | 0.35668 | 0.57847 | 0.557717 | 0.107004 | 0.060311 | 0.060311 | 0.060311 | 0 | 0.1173 | 0.189142 | 4,605 | 81 | 290 | 56.851852 | 0.703267 | 0.056026 | 0 | 0 | 0 | 0 | 0.264164 | 0.006449 | 0 | 0 | 0.001842 | 0 | 0 | 1 | 0.027027 | false | 0 | 0.054054 | 0 | 0.108108 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
3c0c1d9870c5563425dee279fecdcedf50c630fc | 798 | py | Python | docker_sdk_api/domain/exceptions/job_exception.py | BMW-InnovationLab/BMW-Semantic-Segmentation-Training-GUI | 902f35a7e367e635898f687b16a830db892fbaa5 | [
"Apache-2.0"
] | 20 | 2021-07-13T13:08:57.000Z | 2022-03-29T09:38:00.000Z | docker_sdk_api/domain/exceptions/job_exception.py | hadikoub/BMW-TensorFlow-Training-GUI | 0c18e65529b3fcb6a7ea9e57f8e4e2e5e6e93d5d | [
"Apache-2.0"
] | null | null | null | docker_sdk_api/domain/exceptions/job_exception.py | hadikoub/BMW-TensorFlow-Training-GUI | 0c18e65529b3fcb6a7ea9e57f8e4e2e5e6e93d5d | [
"Apache-2.0"
] | 2 | 2021-07-12T08:42:53.000Z | 2022-03-04T18:41:25.000Z | from domain.exceptions.application_error import ApplicationError
class ContainerNotFound(ApplicationError):
def __init__(self, additional_message: str = '', container_name: str = ''):
super().__init__("Container Name Not Found ", additional_message + '{}'.format(container_name))
class JobNotStarted(ApplicationError):
def __init__(self, additional_message: str = '', container_name: str = ''):
super().__init__("Job Not Started ", additional_message + '{}'.format(container_name))
class ListIndexOutOfRange(ApplicationError):
def __init__(self, additional_message: str = '', container_id: str = ''):
super().__init__("The running container has no RepoTag please kill to proceed ",
additional_message + '{}'.format(container_id))
| 44.333333 | 103 | 0.705514 | 81 | 798 | 6.493827 | 0.432099 | 0.193916 | 0.131179 | 0.153992 | 0.536122 | 0.536122 | 0.380228 | 0.380228 | 0.273764 | 0.273764 | 0 | 0 | 0.171679 | 798 | 17 | 104 | 46.941176 | 0.795764 | 0 | 0 | 0.181818 | 0 | 0 | 0.135338 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.272727 | false | 0 | 0.090909 | 0 | 0.636364 | 0 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
3c23a88f26d632b4bde9b7772e8ca193bc9790d9 | 3,154 | py | Python | colour/__init__.py | canavandl/colour | a453cd37b6135a9092d5ea5b2aafb8d19134bdff | [
"BSD-3-Clause"
] | 1 | 2019-06-27T11:32:48.000Z | 2019-06-27T11:32:48.000Z | colour/__init__.py | canavandl/colour | a453cd37b6135a9092d5ea5b2aafb8d19134bdff | [
"BSD-3-Clause"
] | null | null | null | colour/__init__.py | canavandl/colour | a453cd37b6135a9092d5ea5b2aafb8d19134bdff | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Colour
======
**Colour** is a **Python** colour science package implementing a comprehensive
number of colour theory transformations and algorithms.
Subpackages
-----------
- adaptation: Chromatic adaptation transformations.
- algebra: Algebra utilities.
- appearance: Colour appearance models.
- characterisation: Colour fitting and camera characterisation.
- colorimetry: Core objects for colour computations.
- constants: *CIE* and *CODATA* constants.
- difference: Colour difference computations.
- examples: Examples for the sub-packages.
- io: Input / output objects for reading and writing data.
- models: Colour models.
- notation: Colour notation systems.
- optimal: Optimal colour stimuli computation.
- phenomenons: Computation of various optical phenomenons.
- plotting: Diagrams, plots, etc...
- quality: Colour quality computation.
- temperature: Colour temperature and correlated colour temperature
computation.
- utilities: Various utilities and data structures.
"""
from __future__ import absolute_import
import sys
if sys.version_info[0] >= 3:
# Python 3 compatibility hacks.
import builtins
import itertools
import functools
builtins.basestring = str
builtins.unicode = str
builtins.reduce = functools.reduce
itertools.izip = zip
from .adaptation import * # noqa
from . import adaptation
from .algebra import * # noqa
from . import algebra
from .appearance import * # noqa
from . import appearance
from .colorimetry import * # noqa
from . import colorimetry
from .constants import *
from . import constants
from .difference import * # noqa
from . import difference
from .characterisation import * # noqa
from . import characterisation
from .io import * # noqa
from . import io
from .models import * # noqa
from . import models
from .optimal import * # noqa
from . import optimal
from .phenomenons import * # noqa
from . import phenomenons
from .notation import * # noqa
from . import notation
from .quality import * # noqa
from . import quality
from .temperature import * # noqa
from . import temperature
from . import plotting
from . import utilities
__author__ = 'Colour Developers'
__copyright__ = 'Copyright (C) 2013 - 2014 - Colour Developers'
__license__ = 'New BSD License - http://opensource.org/licenses/BSD-3-Clause'
__maintainer__ = 'Colour Developers'
__email__ = 'colour-science@googlegroups.com'
__status__ = 'Production'
__all__ = []
__all__ += adaptation.__all__
__all__ += algebra.__all__
__all__ += appearance.__all__
__all__ += characterisation.__all__
__all__ += colorimetry.__all__
__all__ += constants.__all__
__all__ += difference.__all__
__all__ += io.__all__
__all__ += models.__all__
__all__ += optimal.__all__
__all__ += phenomenons.__all__
__all__ += notation.__all__
__all__ += quality.__all__
__all__ += temperature.__all__
__application_name__ = 'Colour'
__major_version__ = '0'
__minor_version__ = '3'
__change_version__ = '2'
__version__ = '.'.join((__major_version__,
__minor_version__,
__change_version__))
| 28.672727 | 78 | 0.736208 | 346 | 3,154 | 6.176301 | 0.33237 | 0.074871 | 0.085166 | 0.121666 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006142 | 0.174065 | 3,154 | 109 | 79 | 28.93578 | 0.814203 | 0.366519 | 0 | 0 | 0 | 0 | 0.096709 | 0.015696 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.514706 | 0 | 0.514706 | 0 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
3c3d752aaae1dfd3d36b5d6ce71a87b70b27cdef | 463 | py | Python | config.py | LaktionovVladyslav/HelpexApp | 71f948adb053fa52bfdd3d16585b57efbd7836ab | [
"Unlicense"
] | null | null | null | config.py | LaktionovVladyslav/HelpexApp | 71f948adb053fa52bfdd3d16585b57efbd7836ab | [
"Unlicense"
] | null | null | null | config.py | LaktionovVladyslav/HelpexApp | 71f948adb053fa52bfdd3d16585b57efbd7836ab | [
"Unlicense"
] | null | null | null | import os
class Config:
SQLALCHEMY_TRACK_MODIFICATIONS = False
CSRF_ENABLED = True
FLASK_DEBUG = True
SQLALCHEMY_DATABASE_URI = os.environ.get('DATABASE_URL', 'mysql+mysqlconnector://root:root@localhost:8889/lak_db')
DATABASE_URL = os.environ.get('CLEARDB_DATABASE_URL', 'mysql+mysqlconnector://root:root@localhost:8889/hnuvs_db')
PORT = int(os.environ.get('PORT', '5000'))
SECRET_KEY = os.environ.get('SECRET_KEY', 'SITE_BOMBS')
| 30.866667 | 118 | 0.732181 | 62 | 463 | 5.225806 | 0.548387 | 0.111111 | 0.148148 | 0.185185 | 0.314815 | 0.314815 | 0.314815 | 0.314815 | 0 | 0 | 0 | 0.029925 | 0.133909 | 463 | 14 | 119 | 33.071429 | 0.778055 | 0 | 0 | 0 | 0 | 0 | 0.369565 | 0.23913 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 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 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
3c3ee11c722dce0cf31b1c46ea70c9733e4caecf | 1,234 | py | Python | libs/yowsup/yowsup/yowsup/layers/protocol_chatstate/protocolentities/chatstate.py | akshitpradhan/TomHack | 837226e7b38de1140c19bc2d478eeb9e379ed1fd | [
"MIT"
] | 22 | 2017-07-14T20:01:17.000Z | 2022-03-08T14:22:39.000Z | libs/yowsup/yowsup/yowsup/layers/protocol_chatstate/protocolentities/chatstate.py | akshitpradhan/TomHack | 837226e7b38de1140c19bc2d478eeb9e379ed1fd | [
"MIT"
] | 6 | 2017-07-14T21:03:50.000Z | 2021-06-10T19:08:32.000Z | libs/yowsup/yowsup/yowsup/layers/protocol_chatstate/protocolentities/chatstate.py | akshitpradhan/TomHack | 837226e7b38de1140c19bc2d478eeb9e379ed1fd | [
"MIT"
] | 13 | 2017-07-14T20:13:14.000Z | 2020-11-12T08:06:05.000Z | from yowsup.structs import ProtocolEntity, ProtocolTreeNode
class ChatstateProtocolEntity(ProtocolEntity):
'''
INCOMING
<chatstate from="xxxxxxxxxxx@s.whatsapp.net">
<{{composing|paused}}></{{composing|paused}}>
</chatstate>
OUTGOING
<chatstate to="xxxxxxxxxxx@s.whatsapp.net">
<{{composing|paused}}></{{composing|paused}}>
</chatstate>
'''
STATE_TYPING = "composing"
STATE_PAUSED = "paused"
STATES = (STATE_TYPING, STATE_PAUSED)
def __init__(self, _state):
super(ChatstateProtocolEntity, self).__init__("chatstate")
assert _state in self.__class__.STATES, "Expected chat state to be in %s, got %s" % (self.__class__.STATES, _state)
self._state = _state
def getState(self):
return self._state
def toProtocolTreeNode(self):
node = self._createProtocolTreeNode({}, None, data = None)
node.addChild(ProtocolTreeNode(self._state))
return node
def __str__(self):
out = "CHATSTATE:\n"
out += "State: %s\n" % self._state
return out
@staticmethod
def fromProtocolTreeNode(node):
return ChatstateProtocolEntity(
node.getAllChildren()[0].tag,
)
| 27.422222 | 123 | 0.642626 | 121 | 1,234 | 6.280992 | 0.38843 | 0.059211 | 0.052632 | 0.060526 | 0.163158 | 0.163158 | 0.163158 | 0.163158 | 0.163158 | 0 | 0 | 0.001057 | 0.233387 | 1,234 | 44 | 124 | 28.045455 | 0.802326 | 0.184765 | 0 | 0 | 0 | 0 | 0.089397 | 0 | 0 | 0 | 0 | 0 | 0.041667 | 1 | 0.208333 | false | 0 | 0.041667 | 0.083333 | 0.583333 | 0 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
3c3fff08a3f918f224e236cc8f3e6edf76bec504 | 1,589 | py | Python | Testing/Elements.py | freder/PageBotExamples | eb4ced53a673b9376e8357afa9ea0795b022b13c | [
"Ruby",
"MIT"
] | 5 | 2020-06-20T22:01:23.000Z | 2021-08-06T04:39:50.000Z | Testing/Elements.py | freder/PageBotExamples | eb4ced53a673b9376e8357afa9ea0795b022b13c | [
"Ruby",
"MIT"
] | 5 | 2020-05-17T09:32:27.000Z | 2021-03-15T19:45:52.000Z | Testing/Elements.py | freder/PageBotExamples | eb4ced53a673b9376e8357afa9ea0795b022b13c | [
"Ruby",
"MIT"
] | 2 | 2021-02-25T19:07:45.000Z | 2022-01-09T21:14:06.000Z | #!/usr/bin/env python3
# -*- coding: UTF-8 -*-
# -----------------------------------------------------------------------------
#
# P A G E B O T E X A M P L E S
#
# Copyright (c) 2017 Thom Janssen <https://github.com/thomgb>
# www.pagebot.io
# Licensed under MIT conditions
#
# Supporting DrawBot, www.drawbot.com
# Supporting Flat, xxyxyz.org/flat
# -----------------------------------------------------------------------------
#
# TODO: Floating on second line does not seem to work currently
from pagebot.conditions import *
from pagebot import getContext
from pagebot.elements.element import Element
context = getContext()
#context = getContext('Flat')
context.newDrawing()
context.newPage()
e = Element(w=500, h=500, context=context)
print(' * Testing in %s' % context.name)
print(e)
print(e.childClipPath)
e1 = Element(parent=e, x=0, y=0, w=50, h=80)
# Flat not getting correct results due to missing boolean operators.
print(len(e.childClipPath)) # 7
print(len(e1.childClipPath)) # 7
print(e.childClipPath.points)
print(e1.childClipPath.points)
#[(50.0, 0.0), (500.0, 0.0), (500.0, 500.0), (0.0, 500.0), (0.0, 80.0), (50.0, 80.0), (50.0, 0.0)]
e = Element(w=500, h=500, context=context)
e1 = Element(parent=e, w=100, h=100, conditions=[Left2Left(), Top2Top()])
e2 = Element(parent=e, w=100, h=100, conditions=(Left2Left(), Bottom2Bottom()))
score = e.solve()
print(e.childClipPath.points)
#[(100.0, 0.0), (500.0, 0.0), (500.0, 500.0), (0.0, 500.0), (0.0, 100.0), (100.0, 100.0), (100.0, 0.0)]
print(e.childClipPath.__class__.__name__)
'PageBotPath'
| 34.543478 | 103 | 0.604154 | 240 | 1,589 | 3.966667 | 0.379167 | 0.042017 | 0.031513 | 0.037815 | 0.231092 | 0.218487 | 0.218487 | 0.201681 | 0.138655 | 0.052521 | 0 | 0.097242 | 0.132788 | 1,589 | 45 | 104 | 35.311111 | 0.593614 | 0.498427 | 0 | 0.181818 | 0 | 0 | 0.034839 | 0 | 0 | 0 | 0 | 0.022222 | 0 | 1 | 0 | false | 0 | 0.136364 | 0 | 0.136364 | 0.409091 | 0 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 |
3c7010be2aadb5947cc6cb8f9f65c471f437b19c | 226 | py | Python | runtests.py | lukemerrett/SteamProgress | 32a2a067573c936940a9c281e63cf303b06cc851 | [
"MIT"
] | 2 | 2015-06-27T10:25:55.000Z | 2015-07-05T13:04:46.000Z | runtests.py | lukemerrett/SteamProgress | 32a2a067573c936940a9c281e63cf303b06cc851 | [
"MIT"
] | null | null | null | runtests.py | lukemerrett/SteamProgress | 32a2a067573c936940a9c281e63cf303b06cc851 | [
"MIT"
] | null | null | null | import unittest
if __name__ == "__main__":
# Finds all tests in submodules ending in *tests.py and runs them
suite = unittest.TestLoader().discover('.', pattern = "*tests.py")
unittest.TextTestRunner().run(suite)
| 32.285714 | 70 | 0.699115 | 28 | 226 | 5.357143 | 0.75 | 0.093333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.168142 | 226 | 6 | 71 | 37.666667 | 0.797872 | 0.278761 | 0 | 0 | 0 | 0 | 0.111801 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
3c7324f514a293436d0273fcef4f5aa49d31b761 | 4,609 | py | Python | tests/unit/cirrus/quality_control_test.py | Maxsparrow/cirrus | ae9639daba4f2d8d9285e98d5b11a89eac573f96 | [
"Apache-2.0"
] | 12 | 2016-04-30T16:13:55.000Z | 2021-01-20T23:42:31.000Z | tests/unit/cirrus/quality_control_test.py | Maxsparrow/cirrus | ae9639daba4f2d8d9285e98d5b11a89eac573f96 | [
"Apache-2.0"
] | 153 | 2015-02-12T15:25:42.000Z | 2020-03-09T07:16:15.000Z | tests/unit/cirrus/quality_control_test.py | Maxsparrow/cirrus | ae9639daba4f2d8d9285e98d5b11a89eac573f96 | [
"Apache-2.0"
] | 7 | 2015-06-15T21:30:38.000Z | 2020-02-17T02:13:00.000Z | '''
qc command tests
'''
import mock
import unittest
from cirrus.quality_control import main, run_linters, build_parser
class QCCommandTests(unittest.TestCase):
"""
test coverage for qc command module
"""
def test_build_parser(self):
"""test build_parser call"""
args = [
'--include-files', 'file1', 'file2',
'--exclude-files', 'file3', 'file4',
'--exclude-dirs', 'dir1',
'--linters', 'Pep8', 'Pyflakes'
]
qc_conf = {}
opts = build_parser(args, qc_conf)
self.assertEqual(opts.include_files, ['file1', 'file2'])
self.assertEqual(opts.exclude_files, ['file3', 'file4'])
self.assertEqual(opts.exclude_dirs, ['dir1'])
self.assertEqual(opts.linters, ['Pep8', 'Pyflakes'])
qc_conf = {'exclude_dirs': ['dir3', 'dir4']}
args = [
'--include-files', 'file1', 'file2',
'--exclude-files', 'file3', 'file4',
'--linters', 'Pep8', 'Pyflakes'
]
opts = build_parser(args, qc_conf)
self.assertEqual(opts.exclude_dirs, ['dir3', 'dir4'])
@mock.patch("cirrus.quality_control.load_configuration")
@mock.patch("cirrus.quality_control.FACTORY")
def test_run_linters(self, mock_factory, mock_conf):
"""test pass case"""
mock_linter = mock.Mock()
mock_linter.test_mode = False
mock_linter.check = mock.Mock()
mock_linter.errors = None
mock_factory.return_value = mock_linter
mock_factory.registry = {
'Pep8': None,
'Pylint': None
}
opts = mock.Mock()
opts.test_only = False
opts.linters = ['Pep8', 'Pylint']
run_linters(opts, mock_conf, {})
self.assertTrue(mock_linter.check.called)
self.assertEqual(mock_linter.check.call_count, 2)
@mock.patch("cirrus.quality_control.load_configuration")
@mock.patch("cirrus.quality_control.FACTORY")
def test_run_linters_fail(self, mock_factory, mock_conf):
"""test fail case"""
mock_linter = mock.Mock()
mock_linter.test_mode = False
mock_linter.check = mock.Mock()
mock_linter.errors = 100
mock_factory.return_value = mock_linter
mock_factory.registry = {
'Pep8': None,
'Pylint': None
}
opts = mock.Mock()
opts.test_only = False
opts.linters = ['Pep8', 'Pylint']
self.assertRaises(RuntimeError, run_linters, opts, mock_conf, {})
@mock.patch("cirrus.quality_control.load_configuration")
@mock.patch("cirrus.quality_control.FACTORY")
def test_bad_linter_name(self, mock_factory, mock_conf):
"""test fail case"""
mock_linter = mock.Mock()
mock_linter.test_mode = False
mock_linter.check = mock.Mock()
mock_linter.errors = 100
mock_factory.return_value = mock_linter
mock_factory.registry = {
'Pep8': None,
'Pylint': None
}
opts = mock.Mock()
opts.test_only = False
opts.linters = ['WOMP']
self.assertRaises(RuntimeError, run_linters, opts, mock_conf, {})
@mock.patch("cirrus.quality_control.load_configuration")
@mock.patch("cirrus.quality_control.build_parser")
@mock.patch("cirrus.quality_control.run_linters")
@mock.patch("cirrus.quality_control.get_diff_files")
def test_main(self, mock_diffs, mock_rl, mock_bp, mock_conf):
mock_qc = {}
mock_conf.quality_control = mock.Mock(return_value=mock_qc)
mock_opts = mock.Mock()
mock_opts.only_changes = False
mock_bp.return_value = mock_opts
main()
self.assertTrue(mock_rl.called)
@mock.patch("cirrus.quality_control.load_configuration")
@mock.patch("cirrus.quality_control.build_parser")
@mock.patch("cirrus.quality_control.run_linters")
@mock.patch("cirrus.quality_control.get_diff_files")
def test_main_diffs(self, mock_diffs, mock_rl, mock_bp, mock_conf):
mock_qc = {}
mock_conf.quality_control = mock.Mock(return_value=mock_qc)
mock_opts = mock.Mock()
mock_opts.only_changes = True
mock_opts.incude_files = None
mock_bp.return_value = mock_opts
mock_diffs.return_value = ['DIFF1.py', 'DIFF2.py']
main()
self.assertTrue(mock_rl.called)
self.assertEqual(mock_opts.include_files, mock_diffs.return_value)
mock_diffs.return_value = []
self.assertRaises(SystemExit, main)
if __name__ == '__main__':
unittest.main()
| 34.140741 | 74 | 0.625298 | 538 | 4,609 | 5.078067 | 0.154275 | 0.061493 | 0.10981 | 0.112738 | 0.762811 | 0.721449 | 0.671303 | 0.671303 | 0.671303 | 0.603953 | 0 | 0.010089 | 0.247342 | 4,609 | 134 | 75 | 34.395522 | 0.777457 | 0.026036 | 0 | 0.650943 | 0 | 0 | 0.182002 | 0.114061 | 0 | 0 | 0 | 0 | 0.122642 | 1 | 0.056604 | false | 0 | 0.028302 | 0 | 0.09434 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 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 | 2 |
3c97dfea60504a48b67c6df474b86cb87dcbf717 | 5,175 | py | Python | registry/views.py | gutma-org/droneregistry | 4be915d8cd3b8217564e9b3bf18c4a24c2d42208 | [
"Apache-2.0"
] | 4 | 2018-09-30T06:46:25.000Z | 2019-10-17T03:17:32.000Z | registry/views.py | gutma-org/droneregistry | 4be915d8cd3b8217564e9b3bf18c4a24c2d42208 | [
"Apache-2.0"
] | 4 | 2019-04-29T14:25:40.000Z | 2020-01-31T08:52:52.000Z | registry/views.py | gutma-org/droneregistry | 4be915d8cd3b8217564e9b3bf18c4a24c2d42208 | [
"Apache-2.0"
] | 2 | 2019-07-08T12:39:47.000Z | 2020-12-13T10:13:05.000Z | import datetime
import json
from datetime import datetime
from django.core.exceptions import PermissionDenied
from django.http import Http404
from django.shortcuts import get_object_or_404, redirect, render
from django.template import loader
from django.utils import translation
from django.views.generic import TemplateView
from rest_framework import generics, mixins, status, viewsets
from rest_framework.authentication import (SessionAuthentication,
TokenAuthentication)
from rest_framework.permissions import IsAuthenticated
from rest_framework.response import Response
from rest_framework.views import APIView
from registry.models import Activity, Authorization, Contact, Operator, Aircraft, Pilot, Test, TestValidity
from registry.serializers import (ContactSerializer, OperatorSerializer, PilotSerializer,
PrivilagedContactSerializer, PrivilagedPilotSerializer,
PrivilagedOperatorSerializer, AircraftSerializer, AircraftESNSerializer)
from django.http import JsonResponse
from rest_framework.decorators import api_view
from six.moves.urllib import request as req
from functools import wraps
class OperatorList(mixins.ListModelMixin,
generics.GenericAPIView):
"""
List all operators, or create a new operator.
"""
queryset = Operator.objects.all()
serializer_class = OperatorSerializer
def get(self, request, *args, **kwargs):
return self.list(request, *args, **kwargs)
class OperatorDetail(mixins.RetrieveModelMixin,
generics.GenericAPIView):
"""
Retrieve, update or delete a Operator instance.
"""
queryset = Operator.objects.all()
serializer_class = OperatorSerializer
def get(self, request, *args, **kwargs):
return self.retrieve(request, *args, **kwargs)
def delete(self, request, *args, **kwargs):
return self.destroy(request, *args, **kwargs)
class OperatorDetailPrivilaged(mixins.RetrieveModelMixin,
generics.GenericAPIView):
"""
Retrieve, update or delete a Operator instance.
"""
queryset = Operator.objects.all()
serializer_class = PrivilagedOperatorSerializer
def get(self, request, *args, **kwargs):
return self.retrieve(request, *args, **kwargs)
class OperatorAircraft(mixins.RetrieveModelMixin,
generics.GenericAPIView):
"""
Retrieve, update or delete a Operator instance.
"""
queryset = Aircraft.objects.all()
serializer_class = AircraftSerializer
def get_Aircraft(self, pk):
try:
o = Operator.objects.get(id=pk)
except Operator.DoesNotExist:
raise Http404
else:
return Aircraft.objects.filter(operator = o)
def get(self, request, pk,format=None):
aircraft = self.get_Aircraft(pk)
serializer = AircraftSerializer(aircraft, many=True)
return Response(serializer.data)
class AircraftESNDetails(mixins.RetrieveModelMixin,
generics.GenericAPIView):
queryset = Aircraft.objects.all()
serializer_class = AircraftESNSerializer
lookup_field = 'esn'
def get(self, request, *args, **kwargs):
return self.retrieve(request, *args, **kwargs)
class ContactList(mixins.ListModelMixin,
generics.GenericAPIView):
"""
List all contacts in the database
"""
queryset = Contact.objects.all()
serializer_class = ContactSerializer
def get(self, request, *args, **kwargs):
return self.list(request, *args, **kwargs)
class ContactDetail(mixins.RetrieveModelMixin,
generics.GenericAPIView):
"""
Retrieve, update or delete a Contact instance.
"""
queryset = Contact.objects.all()
serializer_class = ContactSerializer
def get(self, request, *args, **kwargs):
return self.retrieve(request, *args, **kwargs)
class ContactDetailPrivilaged(mixins.RetrieveModelMixin,
generics.GenericAPIView):
"""
Retrieve, update or delete a Contact instance.
"""
queryset = Contact.objects.all()
serializer_class = PrivilagedContactSerializer
def get(self, request, *args, **kwargs):
return self.retrieve(request, *args, **kwargs)
class PilotList(mixins.ListModelMixin,
generics.GenericAPIView):
"""
List all pilots in the database
"""
queryset = Pilot.objects.all()
serializer_class = PilotSerializer
def get(self, request, *args, **kwargs):
return self.list(request, *args, **kwargs)
class PilotDetail(mixins.RetrieveModelMixin,
generics.GenericAPIView):
"""
Retrieve, update or delete a Pilot instance.
"""
queryset = Pilot.objects.all()
serializer_class = PilotSerializer
def get(self, request, *args, **kwargs):
return self.retrieve(request, *args, **kwargs)
class PilotDetailPrivilaged(mixins.RetrieveModelMixin,
generics.GenericAPIView):
"""
Retrieve, update or delete a Pilot instance.
"""
queryset = Pilot.objects.all()
serializer_class = PrivilagedPilotSerializer
def get(self, request, *args, **kwargs):
return self.retrieve(request, *args, **kwargs)
class HomeView(TemplateView):
template_name ='registry/index.html'
class APIView(TemplateView):
template_name ='registry/api.html'
| 27.673797 | 107 | 0.724444 | 534 | 5,175 | 6.97191 | 0.2397 | 0.065001 | 0.100457 | 0.073865 | 0.525651 | 0.525651 | 0.457964 | 0.457964 | 0.457964 | 0.457964 | 0 | 0.002121 | 0.180097 | 5,175 | 186 | 108 | 27.822581 | 0.875324 | 0.084831 | 0 | 0.457143 | 0 | 0 | 0.008396 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.12381 | false | 0 | 0.190476 | 0.104762 | 0.8 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 2 |
b1c53a63d3103a21a163d2a0e6bab7d5d48636f8 | 245 | py | Python | OfficeQts/OfficeApp/urls.py | jvillarreal7/TheOfficeQuotes | 9db2c35c369d74a249e02be0bbba08e5e3721390 | [
"MIT"
] | null | null | null | OfficeQts/OfficeApp/urls.py | jvillarreal7/TheOfficeQuotes | 9db2c35c369d74a249e02be0bbba08e5e3721390 | [
"MIT"
] | 7 | 2021-03-19T00:53:07.000Z | 2022-03-12T00:19:05.000Z | OfficeQts/OfficeApp/urls.py | jvillarreal7/TheOfficeQuotes | 9db2c35c369d74a249e02be0bbba08e5e3721390 | [
"MIT"
] | null | null | null | from django.urls import path
from .views import *
from . import views
urlpatterns = [
path('', views.Home),
path('login-dashboard/', views.LoginAdmin),
path('dashboard/', views.Dashboard),
path('logout/', views.LogoutAdmin),
]
| 20.416667 | 47 | 0.669388 | 28 | 245 | 5.857143 | 0.464286 | 0.170732 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.171429 | 245 | 11 | 48 | 22.272727 | 0.807882 | 0 | 0 | 0 | 0 | 0 | 0.134694 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
b1d6d66c66fe09afc103ca5bee82fcd7e14e846e | 960 | py | Python | env/Lib/site-packages/OpenGL/GLES2/ANGLE/program_binary.py | 5gconnectedbike/Navio2 | 8c3f2b5d8bbbcea1fc08739945183c12b206712c | [
"BSD-3-Clause"
] | 210 | 2016-04-09T14:26:00.000Z | 2022-03-25T18:36:19.000Z | env/Lib/site-packages/OpenGL/GLES2/ANGLE/program_binary.py | 5gconnectedbike/Navio2 | 8c3f2b5d8bbbcea1fc08739945183c12b206712c | [
"BSD-3-Clause"
] | 72 | 2016-09-04T09:30:19.000Z | 2022-03-27T17:06:53.000Z | env/Lib/site-packages/OpenGL/GLES2/ANGLE/program_binary.py | 5gconnectedbike/Navio2 | 8c3f2b5d8bbbcea1fc08739945183c12b206712c | [
"BSD-3-Clause"
] | 64 | 2016-04-09T14:26:49.000Z | 2022-03-21T11:19:47.000Z | '''OpenGL extension ANGLE.program_binary
This module customises the behaviour of the
OpenGL.raw.GLES2.ANGLE.program_binary to provide a more
Python-friendly API
Overview (from the spec)
This extension makes available a program binary format,
PROGRAM_BINARY_ANGLE. It enables retrieving and loading of pre-linked
ANGLE program objects.
The official definition of this extension is available here:
http://www.opengl.org/registry/specs/ANGLE/program_binary.txt
'''
from OpenGL import platform, constant, arrays
from OpenGL import extensions, wrapper
import ctypes
from OpenGL.raw.GLES2 import _types, _glgets
from OpenGL.raw.GLES2.ANGLE.program_binary import *
from OpenGL.raw.GLES2.ANGLE.program_binary import _EXTENSION_NAME
def glInitProgramBinaryANGLE():
'''Return boolean indicating whether this extension is available'''
from OpenGL import extensions
return extensions.hasGLExtension( _EXTENSION_NAME )
### END AUTOGENERATED SECTION | 33.103448 | 71 | 0.810417 | 130 | 960 | 5.884615 | 0.492308 | 0.118954 | 0.117647 | 0.07451 | 0.151634 | 0.151634 | 0.109804 | 0.109804 | 0 | 0 | 0 | 0.004779 | 0.128125 | 960 | 29 | 72 | 33.103448 | 0.9092 | 0.605208 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | true | 0 | 0.777778 | 0 | 1 | 0 | 0 | 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 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
b1dc79b6e38ff252d51502306fa86607b1ba834b | 566 | py | Python | app/helpers/exceptions.py | ONSdigital/sdx-downstream-ctp | 8909f8025679a0d9aa438201193aa99be1184f7e | [
"MIT"
] | null | null | null | app/helpers/exceptions.py | ONSdigital/sdx-downstream-ctp | 8909f8025679a0d9aa438201193aa99be1184f7e | [
"MIT"
] | 21 | 2016-12-07T09:13:01.000Z | 2017-10-12T14:52:51.000Z | app/helpers/exceptions.py | ONSdigital/sdx-receipt-ctp | ff1ed23a6d5de305ee79978eafff50989adb50c6 | [
"MIT"
] | 1 | 2021-04-11T08:17:35.000Z | 2021-04-11T08:17:35.000Z | class BadMessageError(Exception):
# A bad message is broken in some way that will never be accepted by
# the endpoing and as such should be rejected (it will still be logged
# and stored so no data is lost)
pass
class RetryableError(Exception):
# A retryable error is apparently transient and may be due to temporary
# network issues or misconfiguration, but the message is valid and should
# be retried
pass
class DecryptError(Exception):
# Can't even decrypt the message. May be corrupt or keys may be out of step.
pass
| 31.444444 | 80 | 0.724382 | 87 | 566 | 4.712644 | 0.678161 | 0.036585 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.236749 | 566 | 17 | 81 | 33.294118 | 0.949074 | 0.696113 | 0 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.5 | 0 | 0 | 0.5 | 0 | 0 | 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 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
b1ebc74ffc22d82d36b58f3cde38ce8ff5e8f8d2 | 368 | py | Python | rrunner/common/handle_path.py | jigangc/rrunner | 5aeecd5dbcb5f62fde6f811c551aa5a2d1760b66 | [
"Apache-2.0"
] | null | null | null | rrunner/common/handle_path.py | jigangc/rrunner | 5aeecd5dbcb5f62fde6f811c551aa5a2d1760b66 | [
"Apache-2.0"
] | null | null | null | rrunner/common/handle_path.py | jigangc/rrunner | 5aeecd5dbcb5f62fde6f811c551aa5a2d1760b66 | [
"Apache-2.0"
] | null | null | null | import os
# 获取当前文件目录的根目录
DIR = os.path.dirname(os.path.dirname(__file__))
# 定义测试数据的存放目录
DATA_DIR = os.path.join(DIR, 'data')
# 定义用例存放的根目录
CASE_DIR = os.path.join(os.getcwd(), "testcases")
# 定义报告存放的根目录
REPORT_DIR = os.path.join(os.getcwd(), 'reports')
# 定义配置文件存放的根目录
CONFIG_DIR = os.path.join(DIR, 'config')
# 测试文件目录
TESTS_DIR = os.path.join(os.getcwd(), "testcases")
| 24.533333 | 50 | 0.722826 | 54 | 368 | 4.759259 | 0.388889 | 0.163424 | 0.210117 | 0.252918 | 0.439689 | 0.315175 | 0.233463 | 0 | 0 | 0 | 0 | 0 | 0.103261 | 368 | 14 | 51 | 26.285714 | 0.778788 | 0.179348 | 0 | 0 | 0 | 0 | 0.118644 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
b1ef6fb6ace37bde992f02a9870593c833aae320 | 1,129 | py | Python | QUANTAXIS/QAUtil/QASetting.py | 5267/QUANTAXIS | c3f38b805939e33309e2da7ea8cb32d245c3edfb | [
"MIT"
] | 5 | 2017-06-30T04:42:29.000Z | 2018-01-05T09:20:28.000Z | QUANTAXIS/QAUtil/QASetting.py | 5267/QUANTAXIS | c3f38b805939e33309e2da7ea8cb32d245c3edfb | [
"MIT"
] | null | null | null | QUANTAXIS/QAUtil/QASetting.py | 5267/QUANTAXIS | c3f38b805939e33309e2da7ea8cb32d245c3edfb | [
"MIT"
] | null | null | null | from QUANTAXIS.QAUtil import QA_util_log_info,QA_util_sql_mongo_setting
from QUANTAXIS.QASU.user import QA_user_sign_in,QA_user_sign_up
class QA_Setting():
QA_util_sql_mongo_ip='127.0.0.1'
QA_util_sql_mongo_port='27017'
client=QA_util_sql_mongo_setting(QA_util_sql_mongo_ip,QA_util_sql_mongo_port)
QA_setting_user_name=''
QA_setting_user_password=''
user={'username':'','password':'','login':False}
def QA_setting_init(self):
self.client=QA_util_sql_mongo_setting(self.QA_util_sql_mongo_ip,self.QA_util_sql_mongo_port)
self.user=self.QA_setting_login()
def QA_setting_login(self):
self.username=self.QA_setting_user_name
self.password=self.QA_setting_user_password
QA_util_log_info('username:'+str(self.QA_setting_user_name))
result=QA_user_sign_in(self.username,self.password,self.client)
if result==True:
self.user['username']=self.username
self.user['password']=self.password
self.user['login']=True
return self.user
else:
QA_util_log_info('failed to login')
| 40.321429 | 100 | 0.717449 | 172 | 1,129 | 4.267442 | 0.232558 | 0.098093 | 0.110354 | 0.171662 | 0.318801 | 0.126703 | 0 | 0 | 0 | 0 | 0 | 0.011892 | 0.180691 | 1,129 | 27 | 101 | 41.814815 | 0.781622 | 0 | 0 | 0 | 0 | 0 | 0.070859 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0.208333 | 0.083333 | 0 | 0.5 | 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 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
594a29a108665d863e79c59fe6af69b080dcf41c | 23,502 | py | Python | toughradius/manage/models.py | geosson/GSRadius | 5870e3d055e8366f98b8e65220a1520b5da22f6d | [
"Apache-2.0"
] | 1 | 2019-05-12T15:06:58.000Z | 2019-05-12T15:06:58.000Z | toughradius/manage/models.py | geosson/GSRadius | 5870e3d055e8366f98b8e65220a1520b5da22f6d | [
"Apache-2.0"
] | null | null | null | toughradius/manage/models.py | geosson/GSRadius | 5870e3d055e8366f98b8e65220a1520b5da22f6d | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
#coding:utf-8
import sqlalchemy
import warnings
warnings.simplefilter('ignore', sqlalchemy.exc.SAWarning)
from sqlalchemy import *
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relation
from sqlalchemy.orm import scoped_session, sessionmaker
from hashlib import md5
from toughlib import utils
import functools
DeclarativeBase = declarative_base()
def get_metadata(db_engine):
global DeclarativeBase
metadata = DeclarativeBase.metadata
metadata.bind = db_engine
return metadata
class SystemSession(DeclarativeBase):
"""session表"""
__tablename__ = 'system_session'
__table_args__ = {
'mysql_engine' : 'MEMORY'
}
key = Column(u'_key', Unicode(length=512), primary_key=True, nullable=False,doc=u"session key")
value = Column(u'_value', Unicode(length=2048), nullable=False,doc=u"session value")
time = Column(u'_time', INTEGER(), nullable=False,doc=u"session timeout")
class SystemCache(DeclarativeBase):
"""cache表"""
__tablename__ = 'system_cache'
__table_args__ = {
'mysql_engine' : 'MEMORY'
}
key = Column(u'_key', Unicode(length=512), primary_key=True, nullable=False,doc=u"cache key")
value = Column(u'_value', Unicode(length=8192), nullable=False,doc=u"cache value")
time = Column(u'_time', INTEGER(), nullable=False,doc=u"cache timeout")
class TrNode(DeclarativeBase):
"""区域表"""
__tablename__ = 'tr_node'
__table_args__ = {}
id = Column(u'id', INTEGER(), primary_key=True, nullable=False,doc=u"区域编号")
node_name = Column(u'node_name', Unicode(length=32), nullable=False,doc=u"区域名")
node_desc = Column(u'node_desc', Unicode(length=64), nullable=False,doc=u"区域描述")
class TrOperator(DeclarativeBase):
"""操作员表 操作员类型 0 系统管理员 1 普通操作员"""
__tablename__ = 'tr_operator'
__table_args__ = {}
id = Column(u'id', INTEGER(), primary_key=True, nullable=False,doc=u"操作员id")
operator_type = Column('operator_type', INTEGER(), nullable=False,doc=u"操作员类型")
operator_name = Column(u'operator_name', Unicode(32), nullable=False,doc=u"操作员名称")
operator_pass = Column(u'operator_pass', Unicode(length=128), nullable=False,doc=u"操作员密码")
operator_status = Column(u'operator_status', INTEGER(), nullable=False,doc=u"操作员状态,0/1")
operator_desc = Column(u'operator_desc', Unicode(255), nullable=False,doc=u"操作员描述")
class TrOperatorNodes(DeclarativeBase):
"""操作员表关联区域"""
__tablename__ = 'tr_operator_nodes'
__table_args__ = {}
operator_name = Column(u'operator_name', Unicode(32),primary_key=True,nullable=False,doc=u"操作员名称")
node_name = Column(u'node_name', Unicode(32), primary_key=True,nullable=False,doc=u"区域名称")
class TrOperatorProducts(DeclarativeBase):
"""操作员表关联产品"""
__tablename__ = 'tr_operator_products'
__table_args__ = {}
# column definitions
operator_name = Column(u'operator_name', Unicode(32), primary_key=True, nullable=False, doc=u"操作员名称")
product_id = Column(u'product_id', Unicode(32), primary_key=True, nullable=False, doc=u"资费ID")
class TrOperatorRule(DeclarativeBase):
"""操作员权限表"""
__tablename__ = 'tr_operator_rule'
__table_args__ = {}
id = Column(u'id', INTEGER(), primary_key=True, nullable=False,doc=u"权限id")
operator_name = Column(u'operator_name', Unicode(32), nullable=False,doc=u"操作员名称")
rule_path = Column(u'rule_path', Unicode(128), nullable=False,doc=u"权限URL")
rule_name = Column(u'rule_name', Unicode(128), nullable=False,doc=u"权限名称")
rule_category = Column(u'rule_category', Unicode(128), nullable=False,doc=u"权限分类")
class TrParam(DeclarativeBase):
"""系统参数表 """
__tablename__ = 'tr_param'
__table_args__ = {}
param_name = Column(u'param_name', Unicode(length=64), primary_key=True, nullable=False,doc=u"参数名")
param_value = Column(u'param_value', Unicode(length=1024), nullable=False,doc=u"参数值")
param_desc = Column(u'param_desc', Unicode(length=255),doc=u"参数描述")
class TrBas(DeclarativeBase):
"""BAS设备表"""
__tablename__ = 'tr_bas'
__table_args__ = {}
id = Column(u'id', INTEGER(), primary_key=True, nullable=False,doc=u"设备id")
dns_name = Column(u'dns_name', Unicode(length=128), nullable=True, doc=u"DNS名称")
vendor_id = Column(u'vendor_id', Unicode(length=32), nullable=False,doc=u"厂商标识")
ip_addr = Column(u'ip_addr', Unicode(length=15), nullable=True,doc=u"IP地址")
bas_name = Column(u'bas_name', Unicode(length=64), nullable=False,doc=u"bas名称")
bas_secret = Column(u'bas_secret', Unicode(length=64), nullable=False,doc=u"共享密钥")
coa_port = Column(u'coa_port', INTEGER(), nullable=False,doc=u"CoA端口")
time_type = Column(u'time_type', SMALLINT(), nullable=False,doc=u"时区类型")
class TrBasNode(DeclarativeBase):
"""BAS设备关联区域"""
__tablename__ = 'tr_bas_node'
__table_args__ = {}
bas_id = Column(u'bas_id', INTEGER(), primary_key=True, nullable=False,doc=u"设备id")
node_id = Column(u'node_id', INTEGER(), primary_key=True, nullable=False,doc=u"区域id")
class TrRoster(DeclarativeBase):
"""黑白名单 0 白名单 1 黑名单"""
__tablename__ = 'tr_roster'
__table_args__ = {}
id = Column(u'id', INTEGER(), primary_key=True, nullable=False,doc=u"黑白名单id")
mac_addr = Column('mac_addr', Unicode(length=17), nullable=False,doc=u"mac地址")
begin_time = Column('begin_time', Unicode(length=19), nullable=False,doc=u"生效开始时间")
end_time = Column('end_time', Unicode(length=19), nullable=False,doc=u"生效结束时间")
roster_type = Column('roster_type', SMALLINT(), nullable=False,doc=u"黑白名单类型")
class TrCustomer(DeclarativeBase):
"""用户信息表"""
__tablename__ = 'tr_customer'
__table_args__ = {}
customer_id = Column('customer_id', INTEGER(),
Sequence('customer_id_seq', start=100001, increment=1),
primary_key=True,nullable=False,doc=u"用户id")
node_id = Column('node_id', INTEGER(), nullable=False,doc=u"区域id")
customer_name = Column('customer_name', Unicode(length=64), nullable=False,doc=u"用户登录名")
password = Column('password', Unicode(length=128), nullable=False,doc=u"用户登录密码")
realname = Column('realname', Unicode(length=64), nullable=False,doc=u"")
idcard = Column('idcard', Unicode(length=32),doc=u"用户证件号码")
sex = Column('sex', SMALLINT(), nullable=True,doc=u"用户性别0/1")
age = Column('age', INTEGER(), nullable=True,doc=u"用户年龄")
email = Column('email', Unicode(length=255), nullable=True,doc=u"用户邮箱")
email_active = Column('email_active', SMALLINT(), default=0,doc=u"用户邮箱激活状态")
active_code = Column('active_code', Unicode(length=32), nullable=False,doc=u"邮箱激活码")
mobile = Column('mobile', Unicode(length=16), nullable=True,doc=u"用户手机")
mobile_active = Column('mobile_active', SMALLINT(), default=0,doc=u"用户手机绑定状态")
address = Column('address', Unicode(length=255), nullable=True,doc=u"用户地址")
customer_desc = Column(u'customer_desc', Unicode(255),doc=u"用户描述")
create_time = Column('create_time', Unicode(length=19), nullable=False,doc=u"创建时间")
update_time = Column('update_time', Unicode(length=19), nullable=False,doc=u"更新时间")
class TrCustomerOrder(DeclarativeBase):
"""
订购信息表(交易记录)
pay_status交易支付状态：0-未支付，1-已支付，2-已取消
"""
__tablename__ = 'tr_customer_order'
__table_args__ = {}
order_id = Column('order_id', Unicode(length=32),primary_key=True,nullable=False,doc=u"订单id")
customer_id = Column('customer_id', INTEGER(),nullable=False,doc=u"用户id")
product_id = Column('product_id', INTEGER(),nullable=False,doc=u"资费id")
account_number = Column('account_number', Unicode(length=32),nullable=False,doc=u"上网账号")
order_fee = Column('order_fee', INTEGER(), nullable=False,doc=u"订单费用")
actual_fee = Column('actual_fee', INTEGER(), nullable=False,doc=u"实缴费用")
pay_status = Column('pay_status', INTEGER(), nullable=False,doc=u"支付状态")
accept_id = Column('accept_id', INTEGER(),nullable=False,doc=u"受理id")
order_source = Column('order_source', Unicode(length=64), nullable=False,doc=u"订单来源")
order_desc = Column('order_desc', Unicode(length=255),doc=u"订单描述")
create_time = Column('create_time', Unicode(length=19), nullable=False,doc=u"交易时间")
class TrAccount(DeclarativeBase):
"""
上网账号表，每个会员可以同时拥有多个上网账号
account_number 为每个套餐对应的上网账号，每个上网账号全局唯一
用户状态 0:"预定",1:"正常", 2:"停机" , 3:"销户", 4:"到期"
"""
__tablename__ = 'tr_account'
__table_args__ = {}
account_number = Column('account_number', Unicode(length=32),primary_key=True,nullable=False,doc=u"上网账号")
customer_id = Column('customer_id', INTEGER(),nullable=False,doc=u"用户id")
client_id = Column('client_id', INTEGER(),nullable=False,doc=u"客户id")
product_id = Column('product_id', INTEGER(),nullable=False,doc=u"资费id")
group_id = Column('group_id', INTEGER(),doc=u"用户组id")
password = Column('password', Unicode(length=128), nullable=False,doc=u"上网密码")
status = Column('status', INTEGER(), nullable=False,doc=u"用户状态")
install_address = Column('install_address', Unicode(length=128), nullable=False,doc=u"装机地址")
balance = Column('balance', INTEGER(), nullable=False, default=0, doc=u"用户余额-分")
time_length = Column('time_length', INTEGER(), nullable=False,default=0,doc=u"用户时长-秒")
flow_length = Column('flow_length', INTEGER(), nullable=False,default=0,doc=u"用户流量-kb")
expire_date = Column('expire_date', Unicode(length=10), nullable=False,doc=u"过期时间- ####-##-##")
user_concur_number = Column('user_concur_number', INTEGER(), nullable=False,doc=u"用户并发数")
bind_mac = Column('bind_mac', SMALLINT(), nullable=False,doc=u"是否绑定mac")
bind_vlan = Column('bind_vlan', SMALLINT(), nullable=False,doc=u"是否绑定vlan")
mac_addr = Column('mac_addr', Unicode(length=17),doc=u"mac地址")
vlan_id1 = Column('vlan_id1', INTEGER(),doc=u"内层vlan")
vlan_id2 = Column('vlan_id2', INTEGER(),doc=u"外层vlan")
ip_address = Column('ip_address', Unicode(length=15),doc=u"静态IP地址")
last_pause = Column('last_pause', Unicode(length=19),doc=u"最后停机时间")
account_desc = Column(u'account_desc', Unicode(255),doc=u"用户描述")
create_time = Column('create_time', Unicode(length=19), nullable=False,doc=u"创建时间")
update_time = Column('update_time', Unicode(length=19), nullable=False,doc=u"更新时间")
class TrAccountAttr(DeclarativeBase):
"""上网账号扩展策略属性表"""
__tablename__ = 'tr_account_attr'
__table_args__ = {}
id = Column(u'id', INTEGER(), primary_key=True, nullable=False,doc=u"属性id")
account_number = Column('account_number', Unicode(length=32),nullable=False,doc=u"上网账号")
attr_type = Column('attr_type', INTEGER(), default=1, doc=u"属性类型，0，一般；1，radius属性")
attr_name = Column(u'attr_name', Unicode(length=255), nullable=False,doc=u"属性名")
attr_value = Column(u'attr_value', Unicode(length=255), nullable=False,doc=u"属性值")
attr_desc = Column(u'attr_desc', Unicode(length=255),doc=u"属性描述")
UniqueConstraint('account_number','attr_name','attr_type',name='tr_account_attr_idx')
class TrProduct(DeclarativeBase):
'''
资费信息表
资费类型 product_policy 0 预付费包月 1 预付费时长 2 买断包月 3 买断时长 4 预付费流量 5 买断流量 6 自由资费
销售状态 product_status 0 正常 1 停用 资费停用后不允许再订购
'''
__tablename__ = 'tr_product'
__table_args__ = {}
id = Column('id', INTEGER(),primary_key=True,autoincrement=1,nullable=False,doc=u"资费id")
product_name = Column('product_name', Unicode(length=64), nullable=False,doc=u"资费名称")
product_policy = Column('product_policy', INTEGER(), nullable=False,doc=u"资费策略")
product_status = Column('product_status', SMALLINT(), nullable=False,doc=u"资费状态")
bind_mac = Column('bind_mac', SMALLINT(), nullable=False,doc=u"是否绑定mac")
bind_vlan = Column('bind_vlan', SMALLINT(), nullable=False,doc=u"是否绑定vlan")
concur_number = Column('concur_number', INTEGER(), nullable=False,doc=u"并发数")
fee_period = Column('fee_period', Unicode(length=11),doc=u"开放认证时段")
fee_months = Column('fee_months', INTEGER(),doc=u"买断授权月数")
fee_times = Column('fee_times', INTEGER(),doc=u"买断时长(秒)")
fee_flows = Column('fee_flows', INTEGER(),doc=u"买断流量(kb)")
fee_price = Column('fee_price', INTEGER(),nullable=False,doc=u"资费价格")
fee_period = Column('fee_period', Unicode(length=11),doc=u"计费认证时段")
input_max_limit = Column('input_max_limit', INTEGER(), nullable=False,doc=u"上行速率")
output_max_limit = Column('output_max_limit', INTEGER(), nullable=False,doc=u"下行速率")
create_time = Column('create_time', Unicode(length=19), nullable=False,doc=u"创建时间")
update_time = Column('update_time', Unicode(length=19), nullable=False,doc=u"更新时间")
class TrProductAttr(DeclarativeBase):
'''资费扩展属性表'''
__tablename__ = 'tr_product_attr'
__table_args__ = {}
id = Column(u'id', INTEGER(), primary_key=True, nullable=False,doc=u"属性id")
product_id = Column('product_id', INTEGER(),nullable=False,doc=u"资费id")
attr_type = Column('attr_type', INTEGER(), default=1, doc=u"属性类型，0，一般；1，radius属性")
attr_name = Column(u'attr_name', Unicode(length=255), nullable=False,doc=u"属性名")
attr_value = Column(u'attr_value', Unicode(length=255), nullable=False,doc=u"属性值")
attr_desc = Column(u'attr_desc', Unicode(length=255),doc=u"属性描述")
UniqueConstraint('product_id','attr_type',name='tr_product_attr_idx')
class TrBilling(DeclarativeBase):
"""计费信息表 is_deduct 0 未扣费 1 已扣费"""
__tablename__ = 'tr_billing'
__table_args__ = { }
id = Column(u'id', INTEGER(), primary_key=True, nullable=False,doc=u"计费id")
account_number = Column(u'account_number', Unicode(length=253), nullable=False,doc=u"上网账号")
nas_addr = Column(u'nas_addr', Unicode(length=15), nullable=False,doc=u"bas地址")
acct_session_id = Column(u'acct_session_id', Unicode(length=253), nullable=False,doc=u"会话id")
acct_start_time = Column(u'acct_start_time', Unicode(length=19), nullable=False,doc=u"计费开始时间")
acct_session_time = Column(u'acct_session_time', INTEGER(), nullable=False,doc=u"会话时长")
input_total = Column(u'input_total', INTEGER(),doc=u"会话的上行流量（kb）")
output_total = Column(u'output_total', INTEGER(),doc=u"会话的下行流量（kb）")
acct_times = Column(u'acct_times', INTEGER(), nullable=False,doc=u"扣费时长(秒)")
acct_flows = Column(u'acct_flows', INTEGER(), nullable=False,doc=u"扣费流量(kb)")
acct_fee = Column(u'acct_fee', INTEGER(), nullable=False,doc=u"应扣费用")
actual_fee = Column('actual_fee', INTEGER(), nullable=False,doc=u"实扣费用")
balance = Column('balance', INTEGER(), nullable=False,doc=u"当前余额")
time_length = Column('time_length', INTEGER(), nullable=False,default=0,doc=u"当前用户时长-秒")
flow_length = Column('flow_length', INTEGER(), nullable=False,default=0,doc=u"当前用户流量-kb")
is_deduct = Column(u'is_deduct', INTEGER(), nullable=False,doc=u"是否扣费")
create_time = Column('create_time', Unicode(length=19), nullable=False,doc=u"计费时间")
class TrTicket(DeclarativeBase):
"""上网日志表"""
__tablename__ = 'tr_ticket'
__table_args__ = { }
id = Column(u'id', INTEGER(), primary_key=True, nullable=False,doc=u"日志id")
account_number = Column(u'account_number', Unicode(length=253), nullable=False,doc=u"上网账号")
acct_input_gigawords = Column(u'acct_input_gigawords', INTEGER(),doc=u"会话的上行的字（4字节）的吉倍数")
acct_output_gigawords = Column(u'acct_output_gigawords', INTEGER(),doc=u"会话的下行的字（4字节）的吉倍数")
acct_input_octets = Column(u'acct_input_octets', INTEGER(),doc=u"会话的上行流量（字节数）")
acct_output_octets = Column(u'acct_output_octets', INTEGER(),doc=u"会话的下行流量（字节数）")
acct_input_packets = Column(u'acct_input_packets', INTEGER(),doc=u"会话的上行包数量")
acct_output_packets = Column(u'acct_output_packets', INTEGER(),doc=u"会话的下行包数量")
acct_session_id = Column(u'acct_session_id', Unicode(length=253), nullable=False,doc=u"会话id")
acct_session_time = Column(u'acct_session_time', INTEGER(), nullable=False,doc=u"会话时长")
acct_start_time = Column(u'acct_start_time', Unicode(length=19), nullable=False,doc=u"会话开始时间")
acct_stop_time = Column(u'acct_stop_time', Unicode(length=19), nullable=False,doc=u"会话结束时间")
acct_terminate_cause = Column(u'acct_terminate_cause',INTEGER(),doc=u"会话中止原因")
mac_addr = Column(u'mac_addr', Unicode(length=128),doc=u"mac地址")
calling_station_id = Column(u'calling_station_id', Unicode(length=128),doc=u"用户接入物理信息")
framed_netmask = Column(u'framed_netmask', Unicode(length=15),doc=u"地址掩码")
framed_ipaddr = Column(u'framed_ipaddr', Unicode(length=15),doc=u"IP地址")
nas_class = Column(u'nas_class', Unicode(length=253),doc=u"bas class")
nas_addr = Column(u'nas_addr', Unicode(length=15), nullable=False,doc=u"bas地址")
nas_port = Column(u'nas_port', Unicode(length=32),doc=u"接入端口")
nas_port_id = Column(u'nas_port_id', Unicode(length=255),doc=u"接入端口物理信息")
nas_port_type = Column(u'nas_port_type', INTEGER(),doc=u"接入端口类型")
service_type = Column(u'service_type', INTEGER(),doc=u"接入服务类型")
session_timeout = Column(u'session_timeout', INTEGER(),doc=u"会话超时时间")
start_source = Column(u'start_source', INTEGER(), nullable=False,doc=u"会话开始来源")
stop_source = Column(u'stop_source', INTEGER(), nullable=False,doc=u"会话中止来源")
class TrOnline(DeclarativeBase):
"""用户在线信息表"""
__tablename__ = 'tr_online'
__table_args__ = {
'mysql_engine' : 'MEMORY'
}
id = Column(u'id', INTEGER(), primary_key=True, nullable=False,doc=u"在线id")
account_number = Column(u'account_number', Unicode(length=32), nullable=False, index=True, doc=u"上网账号")
nas_addr = Column(u'nas_addr', Unicode(length=32), nullable=False,index=True, doc=u"bas地址")
acct_session_id = Column(u'acct_session_id', Unicode(length=64),index=True, nullable=False,doc=u"会话id")
acct_start_time = Column(u'acct_start_time', Unicode(length=19), nullable=False,doc=u"会话开始时间")
framed_ipaddr = Column(u'framed_ipaddr', Unicode(length=32), nullable=False,doc=u"IP地址")
mac_addr = Column(u'mac_addr', Unicode(length=32), nullable=False,doc=u"mac地址")
nas_port_id = Column(u'nas_port_id', Unicode(length=255), nullable=False,doc=u"接入端口物理信息")
billing_times = Column(u'billing_times', INTEGER(), nullable=False,doc=u"已记账时间")
input_total = Column(u'input_total', INTEGER(),doc=u"上行流量（kb）")
output_total = Column(u'output_total', INTEGER(),doc=u"下行流量（kb）")
start_source = Column(u'start_source', SMALLINT(), nullable=False,doc=u"记账开始来源")
UniqueConstraint('nas_addr', 'acct_session_id', name='unique_nas_session')
class TrAcceptLog(DeclarativeBase):
'''
业务受理日志表
open:开户 pause:停机 resume:复机 cancel:销户 next:续费 charge:充值
'''
__tablename__ = 'tr_accept_log'
__table_args__ = {}
id = Column(u'id', INTEGER(), primary_key=True, nullable=False,doc=u"日志id")
accept_type = Column(u'accept_type', Unicode(length=16), nullable=False,doc=u"受理类型")
accept_desc = Column(u'accept_desc', Unicode(length=512),doc=u"受理描述")
account_number = Column(u'account_number', Unicode(length=32), nullable=False,doc=u"上网账号")
operator_name = Column(u'operator_name', Unicode(32),doc=u"操作员名")
accept_source = Column(u'accept_source', Unicode(length=128),doc=u"受理渠道来源")
accept_time = Column(u'accept_time', Unicode(length=19), nullable=False,doc=u"受理时间")
class TrOperateLog(DeclarativeBase):
"""操作日志表"""
__tablename__ = 'tr_operate_log'
__table_args__ = {}
id = Column(u'id', INTEGER(), primary_key=True, nullable=False,doc=u"日志id")
operator_name = Column(u'operator_name', Unicode(32), nullable=False,doc=u"操作员名称")
operate_ip = Column(u'operate_ip', Unicode(length=128),doc=u"操作员ip")
operate_time = Column(u'operate_time', Unicode(length=19), nullable=False,doc=u"操作时间")
operate_desc = Column(u'operate_desc', Unicode(length=1024),doc=u"操作描述")
###############################################################################
# 统计数据模型 ####
###############################################################################
class TrOnlineStat(DeclarativeBase):
"""用户在线统计表 """
__tablename__ = 'tr_online_stat'
__table_args__ = {}
id = Column(u'id', INTEGER(), primary_key=True, nullable=False,doc=u"id")
node_id = Column('node_id', INTEGER(),nullable=False,doc=u"区域id")
stat_time = Column(u'stat_time', INTEGER(), nullable=False,doc=u"统计时间")
total = Column(u'total', INTEGER(),doc=u"在线数")
class TrFlowStat(DeclarativeBase):
"""用户在线统计表 """
__tablename__ = 'tr_flow_stat'
__table_args__ = {}
id = Column(u'id', INTEGER(), primary_key=True, nullable=False,doc=u"id")
node_id = Column('node_id', INTEGER(),nullable=False,doc=u"区域id")
stat_time = Column(u'stat_time', INTEGER(), nullable=False,doc=u"统计时间")
input_total = Column(u'input_total', INTEGER(),doc=u"上行流量（kb）")
output_total = Column(u'output_total', INTEGER(),doc=u"下行流量（kb）")
class TrUserStat(DeclarativeBase):
"""28. 用户发展统计"""
__tablename__ = 'tr_user_stat'
__table_args__ = {}
node_id = Column(u'node_id', INTEGER(), primary_key=True, nullable=False,doc=u"区域编号")
stat_day = Column(u'stat_day', Unicode(length=10),primary_key=True,nullable=False,doc=u"统计日期")
open_count = Column(u'open_count', INTEGER(), nullable=False,doc=u"新开数")
pause_count = Column(u'pause_count', INTEGER(), nullable=False,doc=u"停机数")
resume_count = Column(u'resume_count', INTEGER(), nullable=False,doc=u"复机数")
cancel_count = Column(u'cancel_count', INTEGER(), nullable=False,doc=u"销户数")
next_count = Column(u'next_count', INTEGER(), nullable=False,doc=u"续费数")
valid_count = Column(u'valid_count', INTEGER(), nullable=False,doc=u"在网数")
class TrProductStat(DeclarativeBase):
"""29. 资费统计表"""
__tablename__ = 'tr_product_stat'
__table_args__ = {}
node_id = Column(u'node_id', INTEGER(), primary_key=True,nullable=False,doc=u"区域编号")
stat_day = Column(u'stat_day', Unicode(length=10),primary_key=True,nullable=False,doc=u"统计日期")
product_id = Column('product_id', INTEGER(),primary_key=True,nullable=False,doc=u"资费id")
count = Column(u'count', INTEGER(),nullable=False,doc=u"服务订购数")
class TrFeeStat(DeclarativeBase):
"""30. 费用统计表"""
__tablename__ = 'tr_fee_stat'
__table_args__ = {}
node_id = Column(u'node_id', INTEGER(), primary_key=True,nullable=False,doc=u"区域编号")
stat_day = Column(u'stat_day', Unicode(length=10),primary_key=True,nullable=False,doc=u"统计日期")
income_fee = Column(u'income_fee', INTEGER(),nullable=False,doc=u"收入")
refund_fee = Column(u'refund_fee', INTEGER(),nullable=False,doc=u"退费")
def print_header():
print "|%s|%s|%s|%s|"%("属性".ljust(26,' '),"类型（长度）".ljust(25,' '),"可否为空".ljust(23,' '),'描述'.ljust(30,' '))
print "|%s|:%s|:%s:|%s:|"%("-"*23,"-"*17,"-"*16,"-"*26)
def print_model(tmdl):
print "##", tmdl.__tablename__
print
if tmdl.__doc__ :
print tmdl.__doc__
print
pk = ",".join( c.name for c in tmdl.__table__.primary_key.columns)
print_header()
for c in tmdl.__table__.columns:
# print c.name,c.type,c.nullable
_name = str(c.name).ljust(21," ")
_type = str(c.type).ljust(16," ")
_null = str(c.nullable).ljust(16," ")
_doc = str((c.doc or '').encode("utf-8")).ljust(30,' ')
print "|%s |%s |%s |%s|"%(_name,_type,_null,_doc)
# print_end()
mdls = [
TrProduct,
TrCustomer,
TrAccount,
TrBas,
TrNode
]
if __name__ == '__main__':
print "# ToughRADIUS数据字典\n\n"
for mdl in mdls:
print_model(mdl)
print
| 46.082353 | 109 | 0.692877 | 3,306 | 23,502 | 4.683001 | 0.143981 | 0.05529 | 0.153985 | 0.163609 | 0.577445 | 0.537398 | 0.474293 | 0.423976 | 0.385609 | 0.375856 | 0 | 0.016527 | 0.134967 | 23,502 | 509 | 110 | 46.172888 | 0.745007 | 0.006978 | 0 | 0.270655 | 0 | 0 | 0.176113 | 0.000938 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.008547 | 0.025641 | null | null | 0.037037 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
59509eba398d490fc0031f7f59deedb76786e320 | 2,614 | py | Python | blog.py | miyuchina/ipsum-lorem | ac1b8379c123e597787a7c9397dc6bbccde2644d | [
"MIT"
] | 2 | 2020-09-28T20:26:05.000Z | 2020-11-30T14:07:32.000Z | blog.py | miyuchina/ipsum-lorem | ac1b8379c123e597787a7c9397dc6bbccde2644d | [
"MIT"
] | null | null | null | blog.py | miyuchina/ipsum-lorem | ac1b8379c123e597787a7c9397dc6bbccde2644d | [
"MIT"
] | 1 | 2020-11-30T13:40:03.000Z | 2020-11-30T13:40:03.000Z | # Python packages
import re, json
class Blog:
"""
Read config file and store site-wide variables.
"""
def __init__(self, config_file="./config.json"):
"""
When initializing a Blog instance, populate it with settings in the
config file.
In case of KeyError (user not providing settings in config.json),
revert to default settings provided below.
Args:
config_file: specify the path to config file.
"""
# Read config file.
with open(config_file, "r") as fin:
conf = json.load(fin)
# Public variables
self.name = conf.get("blog_name", "Another Blog")
self.default_author = conf.get("default_author", "Anonymous")
self.baseurl = conf.get("baseurl", "localhost:5000/")
self.description = conf.get("description", "Some description.")
self.contact = conf.get("contact", "Your contact information.")
self.highlight_style = conf.get("highlight_style", "default")
# Private variables
self._posts_dir = conf.get("posts_dir", "posts/")
self._assets_dir = conf.get("assets_dir", "assets/")
self._theme_dir = (conf.get("styles_dir", "templates/css/")
+ conf.get("theme", "default") + "/")
self._js_dir = conf.get("js_dir", "templates/js/")
self._templates_dir = conf.get("templates_dir", "templates/")
self._static_dir = conf.get("static_dir", "static/")
# ignore files with these patterns
self._ignore_posts = [re.compile(pattern) for pattern
in conf.get("ignore_posts", ["ignore"])]
# Accessor methods
def get_posts_dir(self): return self._posts_dir
def get_assets_dir(self): return self._assets_dir
def get_theme_dir(self): return self._theme_dir
def get_js_dir(self): return self._js_dir
def get_templates_dir(self): return self._templates_dir
def get_static_dir(self): return self._static_dir
def get_ignore_posts(self): return self._ignore_posts
def check_included(self, filename):
"""
Check if a post should be included on the index page.
Args:
filename: the path to the markdown file.
"""
# exclude non-markdown files
if not filename.endswith(".md"):
return False
# exclude patterns specified in ignore_posts
for REGEX in self.get_ignore_posts():
if re.match(REGEX, filename):
return False
# passed all the tests, include this post
return True
| 36.816901 | 75 | 0.620122 | 327 | 2,614 | 4.75841 | 0.333333 | 0.062982 | 0.062982 | 0.065553 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002104 | 0.272762 | 2,614 | 70 | 76 | 37.342857 | 0.816412 | 0.241393 | 0 | 0.058824 | 0 | 0 | 0.167474 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.264706 | false | 0 | 0.029412 | 0.205882 | 0.411765 | 0 | 0 | 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 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
3cb45d0d15c5a39d0bbea5dde86fcea4b8e434cd | 1,406 | py | Python | LAMARCK_ML/architectures/dataFlow.py | JonasDHomburg/LAMARCK | 0e372c908ff59effc6fd68e6477d04c4d89e6c26 | [
"Apache-2.0",
"BSD-3-Clause"
] | 3 | 2019-09-20T08:03:47.000Z | 2021-05-10T11:02:09.000Z | LAMARCK_ML/architectures/dataFlow.py | JonasDHomburg/LAMARCK_ML | 0e372c908ff59effc6fd68e6477d04c4d89e6c26 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | LAMARCK_ML/architectures/dataFlow.py | JonasDHomburg/LAMARCK_ML | 0e372c908ff59effc6fd68e6477d04c4d89e6c26 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | from typing import Dict, Tuple, List
from LAMARCK_ML.data_util import TypeShape
from LAMARCK_ML.data_util import ProtoSerializable
class DataFlow(ProtoSerializable):
def __init__(self, *args, **kwargs):
super(DataFlow, self).__init__(**kwargs)
@property
def outputs(self) -> Dict[str, TypeShape]:
"""
Set of named data output shape and type of DataFlow object.
:return: Set of TypeShape
"""
raise NotImplementedError()
@property
def inputLabels(self) -> List[str]:
"""
Labels for one or more inputs.
:return: List of labels for inputs
"""
raise NotImplementedError()
@property
def inputs(self) -> Dict[str, Tuple[str, str]]:
"""
DataFlow connections: Dict[obj_inputLabel, Tuple[other_outputLabel, DataFlow object/id_name]]
:return: Dict[IOLabel, Tuple[IOLabel, DataFlow(str)]]
"""
raise NotImplementedError()
# def connect(self, dataFlow_obj: 'DataFlow', connection: Dict[IOLabel, IOLabel]):
# """
# Add a DataFlow object as input to another DataFlow object.
# :param dataFlow_obj: data providing DataFlow object
# :param connection: inputLabel -> outputLabel
# """
# raise NotImplementedError()
@property
def id_name(self) -> str:
"""
:return: unique object name, typically composition of class name and class wide unique identifier
"""
raise NotImplementedError()
pass
| 27.568627 | 101 | 0.688478 | 163 | 1,406 | 5.828221 | 0.398773 | 0.073684 | 0.101053 | 0.110526 | 0.056842 | 0.056842 | 0 | 0 | 0 | 0 | 0 | 0 | 0.204125 | 1,406 | 50 | 102 | 28.12 | 0.848972 | 0.485775 | 0 | 0.421053 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.263158 | false | 0.052632 | 0.157895 | 0 | 0.473684 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 2 |
3cbbe321209f5e7e9b057639f4281845bdb69eb4 | 308 | py | Python | django_ilmoitin/migrations/0003_remove_notificationtemplate_from_email.py | City-of-Helsinki/django-ilmoitin | ac847179b1ac6445551f23e2dd20c798abacc43e | [
"MIT"
] | 2 | 2021-01-26T17:57:01.000Z | 2021-04-28T04:57:23.000Z | django_ilmoitin/migrations/0003_remove_notificationtemplate_from_email.py | City-of-Helsinki/django-ilmoitin | ac847179b1ac6445551f23e2dd20c798abacc43e | [
"MIT"
] | 30 | 2019-06-03T12:15:01.000Z | 2021-09-22T19:24:38.000Z | django_ilmoitin/migrations/0003_remove_notificationtemplate_from_email.py | a-rmz/django-ilmoitin | 2e98920fe898ca356ee49e4cdd856e3e12ea9d67 | [
"MIT"
] | 1 | 2019-09-13T10:46:12.000Z | 2019-09-13T10:46:12.000Z | # Generated by Django 2.2.8 on 2020-01-03 21:50
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [("django_ilmoitin", "0002_add_admin_notifications")]
operations = [
migrations.RemoveField(model_name="notificationtemplate", name="from_email")
]
| 23.692308 | 84 | 0.730519 | 37 | 308 | 5.918919 | 0.783784 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.073359 | 0.159091 | 308 | 12 | 85 | 25.666667 | 0.772201 | 0.146104 | 0 | 0 | 1 | 0 | 0.279693 | 0.10728 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 1 | 0 | 0 | 2 |
3cc63938b2370c37599581673c6e3ed75088e10f | 239 | py | Python | src/plotly_test/template_ex1.py | jiaweiM/plot-note | 5b4147795aa03665fd51df7558b79f927101fbbf | [
"MIT"
] | null | null | null | src/plotly_test/template_ex1.py | jiaweiM/plot-note | 5b4147795aa03665fd51df7558b79f927101fbbf | [
"MIT"
] | null | null | null | src/plotly_test/template_ex1.py | jiaweiM/plot-note | 5b4147795aa03665fd51df7558b79f927101fbbf | [
"MIT"
] | null | null | null | import plotly.graph_objects as go
large_rockwell_template = dict(
layout=go.Layout(title_font=dict(family="Rockwell", size=24))
)
fig = go.Figure()
fig.update_layout(title='Figure Title', template=large_rockwell_template)
fig.show()
| 23.9 | 73 | 0.774059 | 35 | 239 | 5.085714 | 0.571429 | 0.146067 | 0.235955 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009259 | 0.096234 | 239 | 9 | 74 | 26.555556 | 0.814815 | 0 | 0 | 0 | 0 | 0 | 0.083682 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
3cfd7eb560a54cede9ece0efe63c158ab1bb1da0 | 953 | py | Python | stations/medic/admin.py | boyombo/django-stations | 93a70be7eb8268f9d48f6e3cf9a532bcb27ff895 | [
"MIT"
] | null | null | null | stations/medic/admin.py | boyombo/django-stations | 93a70be7eb8268f9d48f6e3cf9a532bcb27ff895 | [
"MIT"
] | null | null | null | stations/medic/admin.py | boyombo/django-stations | 93a70be7eb8268f9d48f6e3cf9a532bcb27ff895 | [
"MIT"
] | null | null | null | from django.contrib import admin
from medic.models import BloodType, Location, Subscriber, BloodRequest,\
Message, Candidate, BloodBank
@admin.register(BloodType, Location)
class LocationAdmin(admin.ModelAdmin):
pass
@admin.register(Subscriber)
class SubscriberAdmin(admin.ModelAdmin):
list_display = [
'user', 'name', 'location', 'blood_type',
'verified', 'verification_code']
@admin.register(BloodRequest)
class BloodRequestAdmin(admin.ModelAdmin):
list_display = ['subscriber', 'blood_type', 'location', 'when', 'comment']
@admin.register(Message)
class MessageAdmin(admin.ModelAdmin):
list_display = ['subscriber', 'request', 'when', 'text']
@admin.register(Candidate)
class CandidateAdmin(admin.ModelAdmin):
list_display = ['blood_request', 'subscriber', 'active']
@admin.register(BloodBank)
class BloodBankAdmin(admin.ModelAdmin):
list_display = ['name', 'address', 'location', 'latitude']
| 25.756757 | 78 | 0.729276 | 96 | 953 | 7.145833 | 0.416667 | 0.113703 | 0.138484 | 0.189504 | 0.104956 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.130115 | 953 | 36 | 79 | 26.472222 | 0.827503 | 0 | 0 | 0 | 0 | 0 | 0.179433 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.043478 | 0.086957 | 0 | 0.565217 | 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 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
a7061889bd4008698e201a574e0dedf47cf343ce | 2,191 | py | Python | example.py | duanyytop/ckb-sdk-python | 4c7b1676fbb130abfe795290ebba32c1d6d97a08 | [
"MIT"
] | 1 | 2021-09-17T06:05:20.000Z | 2021-09-17T06:05:20.000Z | example.py | duanyytop/ckb-sdk-python | 4c7b1676fbb130abfe795290ebba32c1d6d97a08 | [
"MIT"
] | null | null | null | example.py | duanyytop/ckb-sdk-python | 4c7b1676fbb130abfe795290ebba32c1d6d97a08 | [
"MIT"
] | null | null | null | from ckb_toolkit.core.signer import sign_tx
from ckb_toolkit.core.rpc import RPCClient
from ckb_toolkit.core.hash import ckb_blake160
from ckb_toolkit.core.hex_coder import hex_to_bytes, hex_from_bytes
from ckb_toolkit.address.address import generateShortAddress, generateFullAddress
from coincurve import PublicKey, PrivateKey
import json
unsigned_raw_tx = {'version': '0x0', 'cell_deps': [{'out_point': {'tx_hash': '0xbd262c87a84c08ea3bc141700cf55c1a285009de0e22c247a8d9597b4fc491e6', 'index': '0x2'}, 'dep_type': 'code'}, {'out_point': {'tx_hash': '0xd346695aa3293a84e9f985448668e9692892c959e7e83d6d8042e59c08b8cf5c', 'index': '0x0'}, 'dep_type': 'code'}, {'out_point': {'tx_hash': '0x03dd2a5594ed2d79196b396c83534e050ba0ad07fa5c1cd61a7094f9fb60a592', 'index': '0x0'}, 'dep_type': 'code'}, {'out_point': {'tx_hash': '0xf8de3bb47d055cdf460d93a2a6e1b05f7432f9777c8c474abf4eec1d4aee5d37', 'index': '0x0'}, 'dep_type': 'dep_group'}], 'header_deps': [
], 'inputs': [{'previous_output': {'tx_hash': '0xad375e8c40fdf42187ecbec79f7ddcae72017ce7773a4762421f3f50722dccb0', 'index': '0x1'}, 'since': '0x0'}], 'outputs': [{'capacity': '0x31eb3c002', 'lock': {'code_hash': '0x9bd7e06f3ecf4be0f2fcd2188b23f1b9fcc88e5d4b65a8637b17723bbda3cce8', 'args': '0xed893ca482474e66b5779e57dc1d5281f9033e4f', 'hash_type': 'type'}, 'type': {'code_hash': '0xb1837b5ad01a88558731953062d1f5cb547adf89ece01e8934a9f0aeed2d959f', 'args': '0xf90f9c38b0ea0815156bbc340c910d0a21ee57cf0000003700000002', 'hash_type': 'type'}}], 'outputs_data': ['0x000000000000000000c000'], 'witnesses': ['0x']}
private_key = 'd52a6cb37ce90aed79a96ea9976668fbdbe16d6eac3611d5b15de388168da2c3'
public_key = PrivateKey.from_hex(private_key).public_key.format()
args = ckb_blake160(public_key)[2:]
address = generateShortAddress(args, network = "testnet")
print(address)
lock = {'code_hash': '9bd7e06f3ecf4be0f2fcd2188b23f1b9fcc88e5d4b65a8637b17723bbda3cce8', 'hash_type': 'type', 'args': args}
full_address = generateFullAddress(lock, network = "testnet")
print(full_address)
tx = sign_tx(unsigned_raw_tx, private_key)
print(tx)
rpc = RPCClient('https://testnet.ckb.dev/rpc')
tx_hash = rpc.request('send_transaction', tx)
print(tx_hash)
| 75.551724 | 611 | 0.79005 | 208 | 2,191 | 8.0625 | 0.370192 | 0.025045 | 0.041741 | 0.042934 | 0.054264 | 0.054264 | 0.054264 | 0.039356 | 0.039356 | 0 | 0 | 0.229116 | 0.065723 | 2,191 | 28 | 612 | 78.25 | 0.590132 | 0 | 0 | 0 | 0 | 0 | 0.51529 | 0.325879 | 0 | 0 | 0.282063 | 0 | 0 | 1 | 0 | false | 0 | 0.318182 | 0 | 0.318182 | 0.181818 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
a71e0fee884d2633a4b2c290808767dead94151c | 529 | py | Python | Python_beyondBasics/resolver/resolver.py | pjbaudin/Python_path | 3c9d5c87036bd6246c5199f3e2719253bd9f494b | [
"MIT"
] | null | null | null | Python_beyondBasics/resolver/resolver.py | pjbaudin/Python_path | 3c9d5c87036bd6246c5199f3e2719253bd9f494b | [
"MIT"
] | null | null | null | Python_beyondBasics/resolver/resolver.py | pjbaudin/Python_path | 3c9d5c87036bd6246c5199f3e2719253bd9f494b | [
"MIT"
] | null | null | null | # Time the response time to resolve a website IP address
# from timeit import timeit
# timeit(setup="from __main__ import resolve", stmt="resolve("python.org")", number=1)
import socket
class Resolver:
def __init__(self):
self._cache = {}
def __call__(self, host):
if host not in self._cache:
self._cache[host] = socket.gethostbyname(host)
return self._cache[host]
def clear(self):
self._cache.clear()
def has_host(self, host):
return host in self._cache
| 24.045455 | 86 | 0.652174 | 71 | 529 | 4.591549 | 0.492958 | 0.165644 | 0.079755 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0025 | 0.243856 | 529 | 21 | 87 | 25.190476 | 0.8125 | 0.311909 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.083333 | 0.083333 | 0.666667 | 0 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
a71ff80e93755727953d4ac280bfd5ba641b21cf | 435 | py | Python | legacy/resources/scheduler.py | hiidef/hiispider | ba2b55cc72261cd360935992ab2e8196ac6a1278 | [
"MIT"
] | 2 | 2015-08-30T02:38:09.000Z | 2019-11-12T20:52:41.000Z | legacy/resources/scheduler.py | hiidef/hiispider | ba2b55cc72261cd360935992ab2e8196ac6a1278 | [
"MIT"
] | null | null | null | legacy/resources/scheduler.py | hiidef/hiispider | ba2b55cc72261cd360935992ab2e8196ac6a1278 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Scheduler Resource"""
from hiispider.resources.base import BaseResource
class SchedulerResource(BaseResource):
isLeaf = True
def __init__(self, schedulerserver):
self.schedulerserver = schedulerserver
BaseResource.__init__(self)
def render(self, request):
request.setHeader('Content-type', 'text/javascript; charset=UTF-8')
return "{}"
| 22.894737 | 75 | 0.68046 | 44 | 435 | 6.545455 | 0.727273 | 0.027778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005682 | 0.190805 | 435 | 18 | 76 | 24.166667 | 0.8125 | 0.14023 | 0 | 0 | 0 | 0 | 0.119891 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0 | 0.111111 | 0 | 0.666667 | 0 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
a721f2b2b6fcd36ee560b9bfa9f8402d96f2564b | 2,504 | py | Python | src/sdgen/fields/_field.py | PP-TSD/sdgen | 58a3a46f7f612c8d7774dd43a4ab55df4f33ab20 | [
"MIT"
] | 1 | 2015-02-18T17:59:05.000Z | 2015-02-18T17:59:05.000Z | src/sdgen/fields/_field.py | PP-TSD/sdgen | 58a3a46f7f612c8d7774dd43a4ab55df4f33ab20 | [
"MIT"
] | null | null | null | src/sdgen/fields/_field.py | PP-TSD/sdgen | 58a3a46f7f612c8d7774dd43a4ab55df4f33ab20 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from sdgen._configurable_mixin import ConfigurableMixin
from sdgen.utils import helpers
class Field(ConfigurableMixin):
"""Abstract base *field* class.
Each field represents simple or complex graphical element, for example:
:class:`sdgen.fields.character.Character` or
:class:`sdgen.fields.simple_arrow.SimpleArrow` described with set of
params, like padding, width, font_size, etc.
Fields are created by views (you can find them in :module:`sdgen.views`)
with all needed parameters and then called to render by specific *Builder*.
"""
marked = False # field can be highlighted, default: False
def __init__(self, *args, **kwargs):
"""
All frontend-configuration (such as font_color and so on) can be
prefixed by marked_, which will be used when field/view is marked
(marked=True).
:param marked: True, if field should be marked.
:type marked: bool.
"""
super(Field, self).__init__(*args, **kwargs)
def __getattribute__(self, attrname):
"""
When self.marked is set to True, then try to return self.marked_{name}
if setted, else returns value assigned to passed attribute name
"""
if attrname not in ['marked']:
marked_name = "_".join(("marked", attrname))
if getattr(self, "marked", False) and hasattr(self, marked_name):
return object.__getattribute__(self, marked_name)
return object.__getattribute__(self, attrname)
def to_png(self):
"""Render field in png
This method should be overwritted in derived classes to render png
image of field.
"""
raise NotImplementedError()
def to_svg(self):
"""Render field in svg.
This method should be overwritted in derived classes to render svg
image of field.
"""
raise NotImplementedError()
def pt_to_px(self, points):
"""Mapping :function:`pt_to_px` from :mod:`sdgen.lib.helpers`.
Result of this method can be modified by setting antialiasing decorator
on class.
"""
return helpers.pt_to_px(points)
def px_to_pt(self, points):
"""Mapping :function:`px_to_pt` from :mod:`sdgen.lib.helpers`.
Result of this method can be modified by setting antialiasing decorator
on class.
"""
return helpers.px_to_pt(points)
| 34.30137 | 79 | 0.635783 | 312 | 2,504 | 4.958333 | 0.413462 | 0.032321 | 0.027149 | 0.025857 | 0.303814 | 0.303814 | 0.253394 | 0.201681 | 0.201681 | 0.201681 | 0 | 0.000551 | 0.27516 | 2,504 | 72 | 80 | 34.777778 | 0.851791 | 0.527157 | 0 | 0.1 | 0 | 0 | 0.021111 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.3 | false | 0 | 0.1 | 0 | 0.7 | 0 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
a738912a0a77bcd2429f23101e245b31d85dfe45 | 363 | py | Python | Ago-Dic-2019/Luis Llanes/Practica1/ejercicio6-7.py | Arbupa/DAS_Sistemas | 52263ab91436b2e5a24ce6f8493aaa2e2fe92fb1 | [
"MIT"
] | 41 | 2017-09-26T09:36:32.000Z | 2022-03-19T18:05:25.000Z | Ago-Dic-2019/Luis Llanes/Practica1/ejercicio6-7.py | Arbupa/DAS_Sistemas | 52263ab91436b2e5a24ce6f8493aaa2e2fe92fb1 | [
"MIT"
] | 67 | 2017-09-11T05:06:12.000Z | 2022-02-14T04:44:04.000Z | Ago-Dic-2019/Luis Llanes/Practica1/ejercicio6-7.py | Arbupa/DAS_Sistemas | 52263ab91436b2e5a24ce6f8493aaa2e2fe92fb1 | [
"MIT"
] | 210 | 2017-09-01T00:10:08.000Z | 2022-03-19T18:05:12.000Z | Friend1 = {"First_name": "Anita", "Last_name": "Sanchez", "Age": 21, "City": "Saltillo"}
Friend2 = {"First_name": "Andrea", "Last_name": "De la Fuente", "Age": 21, "City": "Monclova"}
Friend3 = {"First_name": "Jorge", "Last_name": "Sanchez", "Age":20, "City": "Saltillo"}
amigos = [Friend1, Friend2, Friend3]
for i in range(0, len(amigos)):
print(amigos[i]) | 45.375 | 94 | 0.630854 | 49 | 363 | 4.55102 | 0.55102 | 0.121076 | 0.134529 | 0.161435 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.041139 | 0.129477 | 363 | 8 | 95 | 45.375 | 0.664557 | 0 | 0 | 0 | 0 | 0 | 0.395604 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.166667 | 0 | 0 | 0 | null | 0 | 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 | 0 | 0 | 2 |
595a52cda01b17ca5c2ace0f3ce6796bbc8c7d7b | 1,208 | py | Python | alacode/migrations/0003_auto_20200116_1628.py | vanatteveldt/alacode | 58463967e2dca5ece229ea89480b2422171790bd | [
"MIT"
] | null | null | null | alacode/migrations/0003_auto_20200116_1628.py | vanatteveldt/alacode | 58463967e2dca5ece229ea89480b2422171790bd | [
"MIT"
] | null | null | null | alacode/migrations/0003_auto_20200116_1628.py | vanatteveldt/alacode | 58463967e2dca5ece229ea89480b2422171790bd | [
"MIT"
] | null | null | null | # Generated by Django 3.0.2 on 2020-01-16 16:28
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('alacode', '0002_auto_20200116_1512'),
]
operations = [
migrations.AlterField(
model_name='code',
name='q10',
field=models.IntegerField(choices=[(0, 'No'), (1, 'Yes')], default=0, help_text='Does the tweet express feelings of anger?', verbose_name='q10'),
),
migrations.AlterField(
model_name='code',
name='q11',
field=models.IntegerField(choices=[(0, 'No'), (1, 'Yes')], default=0, help_text='Does the tweet express feelings of fear?', verbose_name='q11'),
),
migrations.AlterField(
model_name='code',
name='q12',
field=models.CharField(default='no notes', help_text='Notes', max_length=500, verbose_name='q12'),
),
migrations.AlterField(
model_name='code',
name='q9',
field=models.IntegerField(choices=[(0, 'No'), (1, 'Yes')], default=0, help_text='Does the tweet express feelings of enthusiasm?', verbose_name='q9'),
),
]
| 35.529412 | 161 | 0.582781 | 138 | 1,208 | 4.985507 | 0.413043 | 0.116279 | 0.145349 | 0.168605 | 0.572674 | 0.572674 | 0.357558 | 0.357558 | 0.357558 | 0.357558 | 0 | 0.064334 | 0.266556 | 1,208 | 33 | 162 | 36.606061 | 0.71219 | 0.037252 | 0 | 0.444444 | 1 | 0 | 0.192076 | 0.019811 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.037037 | 0 | 0.148148 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
596953f50aac7af71198d7cf4428aaf3de8b93be | 6,369 | py | Python | dataset/re_spacing.py | ShafinH/ViT-FL-main | e479a797d1494d4cb85fc40c6148f520cfcadfaf | [
"MIT"
] | null | null | null | dataset/re_spacing.py | ShafinH/ViT-FL-main | e479a797d1494d4cb85fc40c6148f520cfcadfaf | [
"MIT"
] | null | null | null | dataset/re_spacing.py | ShafinH/ViT-FL-main | e479a797d1494d4cb85fc40c6148f520cfcadfaf | [
"MIT"
] | null | null | null | import numpy as np
import os
import nibabel as nib
from skimage.transform import resize
from tqdm import tqdm
import matplotlib.pyplot as plt
import SimpleITK as sitk
spacing = {
0: [1.5, 0.8, 0.8],
1: [1.5, 0.8, 0.8],
2: [1.5, 0.8, 0.8],
3: [1.5, 0.8, 0.8],
4: [1.5, 0.8, 0.8],
5: [1.5, 0.8, 0.8],
6: [1.5, 0.8, 0.8],
}
ori_path = './0123456'
new_path = './0123456_spacing_same'
count = -1
for root1, dirs1, _ in os.walk(ori_path):
for i_dirs1 in tqdm(sorted(dirs1)): # 0Liver
# if i_dirs1 != '0Liver':
# continue
###########################################################################
if i_dirs1 == '1Kidney':
for root2, dirs2, files2 in os.walk(os.path.join(root1, i_dirs1)):
for root3, dirs3, files3 in os.walk(os.path.join(root2, 'origin')):
for i_dirs3 in sorted(dirs3): # case_00000
# if int(i_dirs3[-2:])!=4:
# continue
for root4, dirs4, files4 in os.walk(os.path.join(root3, i_dirs3)):
for i_files4 in sorted(files4):
# read img
print("Processing %s" % (i_files4))
img_path = os.path.join(root4, i_files4)
imageITK = sitk.ReadImage(img_path)
image = sitk.GetArrayFromImage(imageITK)
ori_size = np.array(imageITK.GetSize())[[2, 1, 0]]
ori_spacing = np.array(imageITK.GetSpacing())[[2, 1, 0]]
ori_origin = imageITK.GetOrigin()
ori_direction = imageITK.GetDirection()
task_id = int(i_dirs1[0])
target_spacing = np.array(spacing[task_id])
if ori_spacing[0] < 0 or ori_spacing[1] < 0 or ori_spacing[2] < 0:
print("error")
spc_ratio = ori_spacing / target_spacing
data_type = image.dtype
if i_files4 != 'segmentation.nii.gz':
data_type = np.int32
if i_files4 == 'segmentation.nii.gz':
order = 0
mode_ = 'edge'
else:
order = 3
mode_ = 'constant'
image = image.astype(np.float)
image_resize = resize(image, (
int(ori_size[0] * spc_ratio[0]), int(ori_size[1] * spc_ratio[1]),
int(ori_size[2] * spc_ratio[2])), order=order, cval=0, clip=True,
preserve_range=True)
image_resize = np.round(image_resize).astype(data_type)
# save
save_path = os.path.join(new_path, i_dirs1, 'origin', i_dirs3)
if not os.path.exists(save_path):
os.makedirs(save_path)
saveITK = sitk.GetImageFromArray(image_resize)
saveITK.SetSpacing(target_spacing[[2, 1, 0]])
saveITK.SetOrigin(ori_origin)
saveITK.SetDirection(ori_direction)
sitk.WriteImage(saveITK, os.path.join(save_path, i_files4))
#############################################################################
for root2, dirs2, files2 in os.walk(os.path.join(root1, i_dirs1)):
for i_dirs2 in sorted(dirs2): # imagesTr
for root3, dirs3, files3 in os.walk(os.path.join(root2, i_dirs2)):
for i_files3 in sorted(files3):
if i_files3[0] == '.':
continue
# read img
print("Processing %s" % (i_files3))
img_path = os.path.join(root3, i_files3)
imageITK = sitk.ReadImage(img_path)
image = sitk.GetArrayFromImage(imageITK)
ori_size = np.array(imageITK.GetSize())[[2, 1, 0]]
ori_spacing = np.array(imageITK.GetSpacing())[[2, 1, 0]]
ori_origin = imageITK.GetOrigin()
ori_direction = imageITK.GetDirection()
task_id = int(i_dirs1[0])
target_spacing = np.array(spacing[task_id])
spc_ratio = ori_spacing / target_spacing
data_type = image.dtype
if i_dirs2 != 'labelsTr':
data_type = np.int32
if i_dirs2 == 'labelsTr':
order = 0
mode_ = 'edge'
else:
order = 3
mode_ = 'constant'
image = image.astype(np.float)
image_resize = resize(image, (int(ori_size[0] * spc_ratio[0]), int(ori_size[1] * spc_ratio[1]),
int(ori_size[2] * spc_ratio[2])),
order=order, mode=mode_, cval=0, clip=True, preserve_range=True)
image_resize = np.round(image_resize).astype(data_type)
# save
save_path = os.path.join(new_path, i_dirs1, i_dirs2)
if not os.path.exists(save_path):
os.makedirs(save_path)
saveITK = sitk.GetImageFromArray(image_resize)
saveITK.SetSpacing(target_spacing[[2, 1, 0]])
saveITK.SetOrigin(ori_origin)
saveITK.SetDirection(ori_direction)
sitk.WriteImage(saveITK, os.path.join(save_path, i_files3)) | 47.529851 | 119 | 0.420003 | 630 | 6,369 | 4.068254 | 0.177778 | 0.010925 | 0.042918 | 0.010925 | 0.757316 | 0.739368 | 0.665236 | 0.665236 | 0.665236 | 0.665236 | 0 | 0.052986 | 0.463652 | 6,369 | 134 | 120 | 47.529851 | 0.697307 | 0.020254 | 0 | 0.490196 | 0 | 0 | 0.026329 | 0.00362 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.068627 | 0 | 0.068627 | 0.029412 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 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 | 2 |
5970a19bb0a8eb8c38d5dfb9e36c8cd0265d1301 | 116 | py | Python | While/While6.py | liyuanyuan11/Python | d94cc7ab39e56c6e24bfc741a30da77590d1d220 | [
"MIT"
] | null | null | null | While/While6.py | liyuanyuan11/Python | d94cc7ab39e56c6e24bfc741a30da77590d1d220 | [
"MIT"
] | null | null | null | While/While6.py | liyuanyuan11/Python | d94cc7ab39e56c6e24bfc741a30da77590d1d220 | [
"MIT"
] | null | null | null | animals=["Tiger","Lion","Panda","Bear","Welf"]
for animals in animals:
print("This zoo contains a "+animals+".") | 38.666667 | 46 | 0.655172 | 16 | 116 | 4.75 | 0.8125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.112069 | 116 | 3 | 47 | 38.666667 | 0.737864 | 0 | 0 | 0 | 0 | 0 | 0.367521 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
599a3a450268ae3f0f4d162542200bdee367555b | 182 | py | Python | Exercises/ejercicio-45.py | shoriwe-upb/TallerEjercicios | ba37eb6cd673a8d38a1dfac87c5efac3f728da21 | [
"MIT"
] | null | null | null | Exercises/ejercicio-45.py | shoriwe-upb/TallerEjercicios | ba37eb6cd673a8d38a1dfac87c5efac3f728da21 | [
"MIT"
] | null | null | null | Exercises/ejercicio-45.py | shoriwe-upb/TallerEjercicios | ba37eb6cd673a8d38a1dfac87c5efac3f728da21 | [
"MIT"
] | null | null | null | def main():
ref = "lunes,martes,miercoles,juevez,viernes,sabado,domindo".split(",")
day = int(input("Day: ")) - 1
print(ref[day])
if __name__ == '__main__':
main()
| 20.222222 | 75 | 0.598901 | 23 | 182 | 4.391304 | 0.782609 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006803 | 0.192308 | 182 | 8 | 76 | 22.75 | 0.680272 | 0 | 0 | 0 | 0 | 0 | 0.362637 | 0.285714 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0 | 0 | 0.166667 | 0.166667 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
59b61235cfebfb001867fab7ac7f10a35e1382e6 | 561 | py | Python | cvat/apps/engine/migrations/0025_add_multiple_versions_fields.py | daedaleanai/cvat | d0df08c3f66a39324bd0b82683ee4cef05ed9c53 | [
"MIT"
] | 1 | 2021-07-12T20:34:31.000Z | 2021-07-12T20:34:31.000Z | cvat/apps/engine/migrations/0025_add_multiple_versions_fields.py | daedaleanai/cvat | d0df08c3f66a39324bd0b82683ee4cef05ed9c53 | [
"MIT"
] | 8 | 2020-05-04T09:44:13.000Z | 2021-10-14T12:54:40.000Z | cvat/apps/engine/migrations/0025_add_multiple_versions_fields.py | daedaleanai/cvat | d0df08c3f66a39324bd0b82683ee4cef05ed9c53 | [
"MIT"
] | 1 | 2020-07-15T09:30:13.000Z | 2020-07-15T09:30:13.000Z | # Generated by Django 2.2.10 on 2020-09-09 08:24
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('engine', '0024_change_shape_type_choices'),
]
operations = [
migrations.AddField(
model_name='job',
name='version',
field=models.PositiveIntegerField(default=0),
),
migrations.AddField(
model_name='task',
name='times_annotated',
field=models.PositiveIntegerField(default=1),
),
]
| 23.375 | 57 | 0.590018 | 55 | 561 | 5.890909 | 0.690909 | 0.111111 | 0.141975 | 0.166667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.05598 | 0.299465 | 561 | 23 | 58 | 24.391304 | 0.768448 | 0.081996 | 0 | 0.235294 | 1 | 0 | 0.126706 | 0.05848 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.058824 | 0 | 0.235294 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
59c8c7c95459cb8167513acfdad5390aca18ba0d | 933 | py | Python | curation_portal/migrations/0009_add_flags.py | macarthur-lab/variant-curation-portal | bd1e3afd609924fde727116525a00e67d433f1da | [
"MIT"
] | 1 | 2021-03-26T19:44:19.000Z | 2021-03-26T19:44:19.000Z | curation_portal/migrations/0009_add_flags.py | macarthur-lab/variant-curation-portal | bd1e3afd609924fde727116525a00e67d433f1da | [
"MIT"
] | 50 | 2019-08-23T12:07:11.000Z | 2022-02-26T16:45:08.000Z | curation_portal/migrations/0009_add_flags.py | macarthur-lab/variant-curation-portal | bd1e3afd609924fde727116525a00e67d433f1da | [
"MIT"
] | null | null | null | # Generated by Django 2.2.20 on 2021-05-06 13:45
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [("curation_portal", "0008_add_flags")]
operations = [
migrations.AddField(
model_name="curationresult",
name="flag_low_pext",
field=models.BooleanField(default=False),
),
migrations.AddField(
model_name="curationresult",
name="flag_pext_less_than_half_max",
field=models.BooleanField(default=False),
),
migrations.AddField(
model_name="curationresult",
name="flag_uninformative_pext",
field=models.BooleanField(default=False),
),
migrations.AddField(
model_name="curationresult",
name="flag_weak_gene_conservation",
field=models.BooleanField(default=False),
),
]
| 29.15625 | 58 | 0.608789 | 89 | 933 | 6.168539 | 0.494382 | 0.131148 | 0.167577 | 0.196721 | 0.626594 | 0.562842 | 0.562842 | 0.473588 | 0.473588 | 0.473588 | 0 | 0.030075 | 0.287245 | 933 | 31 | 59 | 30.096774 | 0.795489 | 0.049303 | 0 | 0.64 | 1 | 0 | 0.19887 | 0.088136 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.04 | 0 | 0.16 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
59cac6897058326dc41ccd66a395420d32e7b422 | 3,086 | py | Python | test/fixtures_stiffener_elements.py | ruy-sevalho/german_lloyds_hsc_rules | ac65158ddfeca0b96487c4959476256e83981d3f | [
"MIT"
] | null | null | null | test/fixtures_stiffener_elements.py | ruy-sevalho/german_lloyds_hsc_rules | ac65158ddfeca0b96487c4959476256e83981d3f | [
"MIT"
] | null | null | null | test/fixtures_stiffener_elements.py | ruy-sevalho/german_lloyds_hsc_rules | ac65158ddfeca0b96487c4959476256e83981d3f | [
"MIT"
] | null | null | null | import pytest as pt
from dataclass_tools.tools import deserialize_dataclass
from gl_hsc_scantling.elements import StructuralElement
from .exp_output import ExpStiffenerElement, ExpStiffenerSection
from .fixtures_laminates import *
from .fixtures_stiffener_sections import *
from .fixtures_vessel import *
@pt.fixture
def stiffener_bottom_01_input():
return {
"name": "Bottom Stiffener 01",
"vessel": "catamaran",
"x": 8,
"z": -0.3,
"element_type": "Stiffener",
"span": 1,
"spacing_1": 0.4,
"spacing_2": 0.4,
"stiff_att_plate": 1,
"att_plate_1": "et_0900_20x",
"att_plate_2": "et_0900_20x",
"stiff_section": "lbar_01",
"location": "bottom",
"deadrise": 16,
}
@pt.fixture
def stiffener_bottom_01(et_0900_20x, lbar_01, vessel_ex1, stiffener_bottom_01_input):
laminates = {et_0900_20x.name: et_0900_20x}
stiff_sections = {lbar_01.name: lbar_01}
vessels = {vessel_ex1.name: vessel_ex1}
collections = {
"laminates": laminates,
"stiffener_sections": stiff_sections,
"vessels": vessels,
}
return deserialize_dataclass(
dct=stiffener_bottom_01_input,
dataclass=StructuralElement,
build_instance=True,
dict_of_collections=collections,
)
@pt.fixture
def stiffener_bottom_01_exp():
return ExpStiffenerElement(
stiffener_section=ExpStiffenerSection(
bend_stiffness_NA=8.33124543714909,
z_NA=0.0115411623450635,
web_shear_stiffness=2707.26407307195,
stiffness=23856.1306743935,
),
pressures={"sea": 18.46875, "impact": 21.3672413793103},
)
@pt.fixture
def stiffener_side_01_input():
return {
"name": "Side Stiffener 01",
"vessel": "catamaran",
"x": 4,
"z": 0.5,
"element_type": "Stiffener",
"span": 1,
"spacing_1": 0.4,
"spacing_2": 0.4,
"stiff_att_plate": 1,
"stiff_att_angle": 20,
"att_plate_1": "et_0900_20x",
"att_plate_2": "et_0900_20x",
"stiff_section": "lbar_01",
"location": "side",
}
@pt.fixture
def stiffener_side_01(et_0900_20x, lbar_01, vessel_ex1, stiffener_side_01_input):
laminates = {et_0900_20x.name: et_0900_20x}
stiff_sections = {lbar_01.name: lbar_01}
vessels = {vessel_ex1.name: vessel_ex1}
collections = {
"laminates": laminates,
"stiffener_sections": stiff_sections,
"vessels": vessels,
}
return deserialize_dataclass(
dct=stiffener_side_01_input,
dataclass=StructuralElement,
build_instance=True,
dict_of_collections=collections,
)
@pt.fixture
def stiffener_side_01_exp():
return ExpStiffenerElement(
stiffener_section=ExpStiffenerSection(
bend_stiffness_NA=7.98195791502877,
z_NA=0.0112865125011699,
web_shear_stiffness=2707.26407307195,
stiffness=23856.1306743935,
),
pressures={"sea": 10},
)
| 27.801802 | 85 | 0.638691 | 347 | 3,086 | 5.337176 | 0.253602 | 0.032397 | 0.048596 | 0.068035 | 0.75162 | 0.722462 | 0.658747 | 0.658747 | 0.658747 | 0.62095 | 0 | 0.123264 | 0.253402 | 3,086 | 110 | 86 | 28.054545 | 0.680556 | 0 | 0 | 0.597938 | 0 | 0 | 0.146144 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061856 | false | 0 | 0.072165 | 0.041237 | 0.195876 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 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 | 2 |
59cd58c051007c1c95f23ec16c16bde61403aa0d | 395 | py | Python | backend/chat/api/v1/viewsets.py | crowdbotics-apps/scenariotest-28332 | 9f0680ca829f533670be635eaa1625255b0d1168 | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | backend/chat/api/v1/viewsets.py | crowdbotics-apps/scenariotest-28332 | 9f0680ca829f533670be635eaa1625255b0d1168 | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | backend/chat/api/v1/viewsets.py | crowdbotics-apps/scenariotest-28332 | 9f0680ca829f533670be635eaa1625255b0d1168 | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | from rest_framework import authentication
from chat.models import Users
from .serializers import UsersSerializer
from rest_framework import viewsets
class UsersViewSet(viewsets.ModelViewSet):
serializer_class = UsersSerializer
authentication_classes = (
authentication.SessionAuthentication,
authentication.TokenAuthentication,
)
queryset = Users.objects.all()
| 28.214286 | 45 | 0.789873 | 36 | 395 | 8.555556 | 0.583333 | 0.051948 | 0.11039 | 0.149351 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.162025 | 395 | 13 | 46 | 30.384615 | 0.930514 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.363636 | 0 | 0.727273 | 0 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
59d4f3dd5c7d4d4c266d958629b4b5936b017de8 | 6,267 | py | Python | src/python/makeGraphs.py | neoremind/luceneutil | 1a495d53bce97b32a1fae16d93d84d44eaa85eb3 | [
"Apache-2.0"
] | 164 | 2015-07-10T21:27:54.000Z | 2022-03-26T22:56:47.000Z | src/python/makeGraphs.py | neoremind/luceneutil | 1a495d53bce97b32a1fae16d93d84d44eaa85eb3 | [
"Apache-2.0"
] | 126 | 2015-10-26T18:48:43.000Z | 2022-03-21T13:19:39.000Z | src/python/makeGraphs.py | neoremind/luceneutil | 1a495d53bce97b32a1fae16d93d84d44eaa85eb3 | [
"Apache-2.0"
] | 87 | 2015-10-26T15:47:02.000Z | 2022-02-11T07:32:14.000Z | import responseTimeGraph
import loadGraphActualQPS
import sys
import re
import os
reQPS = re.compile(r'\.qps([\.0-9]+)(\.|$)')
rePCT = re.compile(r'\.pct([\.0-9]+)$')
def main(maxQPS = None):
logsDir = sys.argv[1]
warmupSec = int(sys.argv[2])
reportsDir = sys.argv[3]
if maxQPS is None:
if os.path.exists(reportsDir):
print 'ERROR: please move existing reportsDir (%s) out of the way' % reportsDir
sys.exit(1)
print 'getInterpValue: list=%s interpDate=%s' % (valueList, interpDate)
os.makedirs(reportsDir)
qps = set()
names = set()
byName = {}
byPCT = {}
for f in os.listdir(logsDir):
m = reQPS.search(f)
if m is not None:
qpsString = m.group(1)
qpsValue = float(qpsString)
if False and qpsValue > 200:
continue
qps.add((qpsValue, qpsString))
name = f[:f.find('.qps')]
# nocommit
if name.find('G1') != -1:
continue
if name.lower().find('warmup') == -1:
names.add(name)
if not name in byName:
byName[name] = []
byName[name].append((qpsValue, qpsString, f))
m = rePCT.search(f)
if m is not None:
pct = int(m.group(1))
if pct not in byPCT:
byPCT[pct] = []
byPCT[pct].append((name, qpsValue, qpsString, f))
if len(names) == 0:
raise RuntimeError('no logs found @ %s' % logsDir)
if False:
for name, l in byName.items():
l.sort()
for idx, (qpsS, qps, dirName) in enumerate(l):
if dirName.find('.pct') == -1:
os.rename('%s/%s' % (logsDir, dirName),
'%s/%s.pct%s' % (logsDir, dirName, pcts[idx]))
print '%s -> %s' % (name, l)
if maxQPS is None:
indexOut = open('%s/index.html' % reportsDir, 'wb')
else:
indexOut = open('%s/index.html' % reportsDir, 'ab')
indexOut.write('\n<br>')
w = indexOut.write
names = list(names)
names.sort()
try:
if maxQPS is None:
w('<h2>By QPS:</h2>')
if len(byPCT) != 0:
l = list(byPCT.keys())
l.sort()
# Collate by PCT:
for idx, pct in enumerate(l):
# Sort by name so we get consistent colors:
l2 = byPCT[pct]
l2.sort()
d = []
for name, qpsValue, qpsString, resultsFile in l2:
d.append(('%s.qps%s' % (name, qpsString), '%s/%s/results.bin' % (logsDir, resultsFile)))
if len(d) == 0:
raise RuntimeError('nothing matches pct=%d' % pct)
print
print 'Create response-time graph @ pct=%d: d=%s' % (pct, d)
if len(d) != 0:
try:
html = responseTimeGraph.createGraph(d, warmupSec, title='Query time at %d%% load' % pct)
except IndexError:
raise
fileName = '%s/responseTime%sPCT.html' % (reportsDir, pct)
open(fileName, 'wb').write(html)
w('<a href="%s">at %d%% load</a>' % (fileName, pct))
w('<br>\n')
else:
# Collate by QPS:
l = list(qps)
l.sort()
for idx, (qps, qpsString) in enumerate(l):
d = []
validNames = []
for name in names:
resultsFile = '%s/%s.qps%s/results.bin' % (logsDir, name, qpsString)
if os.path.exists(resultsFile):
d.append(('%s.qps%s' % (name, qpsString), resultsFile))
validNames.append(name)
if len(d) == 0:
#raise RuntimeError('nothing matches qps=%s' % qpsString)
continue
print
print 'Create response-time graph @ qps=%s: d=%s' % (qps, d)
if len(d) != 0:
try:
html = responseTimeGraph.createGraph(d, warmupSec)
except IndexError:
raise
open('%s/%sqps.html' % (reportsDir, qpsString), 'wb').write(html)
w('<a href="%sqps.html">%d queries/sec [%s]</a>' % (qpsString, qps, ', '.join(responseTimeGraph.cleanName(x) for x in validNames)))
w('<br>\n')
if maxQPS is None:
w('<h2>By percentile:</h2>')
else:
w('<h2>By percentile (max QPS %d):</h2>' % maxQPS)
allPassesSLA = None
for idx in xrange(len(loadGraphActualQPS.logPoints)):
print
print 'Create pct graph @ %s%%' % loadGraphActualQPS.logPoints[idx][0]
if maxQPS is not None:
fileName = 'load%spct_max%s.html' % (loadGraphActualQPS.logPoints[idx][0], maxQPS)
else:
fileName = 'load%spct.html' % (loadGraphActualQPS.logPoints[idx][0])
stop = False
try:
passesSLA, maxActualQPS = loadGraphActualQPS.graph(idx, logsDir, warmupSec, names, '%s/%s' % (reportsDir, fileName), maxQPS=maxQPS)
except RuntimeError:
stop = True
if passesSLA is not None:
if allPassesSLA is None:
allPassesSLA = passesSLA
else:
for x in list(allPassesSLA):
if x not in passesSLA:
allPassesSLA.remove(x)
if stop:
break
w('<a href="%s">%s %%</a>' % (fileName, loadGraphActualQPS.logPoints[idx][0]))
w('<br>\n')
fileName = '%s/loadmax.html' % reportsDir
passesSLA, maxActualQPS = loadGraphActualQPS.graph('max', logsDir, warmupSec, names, fileName, maxQPS=maxQPS)
if passesSLA is not None:
for x in list(allPassesSLA):
if x not in passesSLA:
allPassesSLA.remove(x)
highest = {}
for qps, name in allPassesSLA:
if name not in highest or qps > highest[name]:
highest[name] = qps
l = [(y, x) for x, y in highest.items()]
l.sort()
print
print 'Max actual QPS:'
for name, qps in maxActualQPS.items():
print ' %s: %.1f QPS' % (name, qps)
print
print 'Highest QPS w/ SLA met:'
for qps, name in l:
print ' %s: %s QPS' % (responseTimeGraph.cleanName(name), qps)
w('<a href="loadmax.html">100%%</a>')
w('<br>')
finally:
indexOut.close()
if __name__ == '__main__':
if '-again' in sys.argv:
idx = sys.argv.index('-again')
maxQPS = int(sys.argv[1+idx])
del sys.argv[idx:idx+2]
else:
maxQPS = None
main()
if maxQPS is not None:
main(maxQPS)
| 27.486842 | 143 | 0.541886 | 782 | 6,267 | 4.331202 | 0.20844 | 0.004724 | 0.017715 | 0.016534 | 0.21612 | 0.173605 | 0.125185 | 0.087983 | 0.065545 | 0.065545 | 0 | 0.009702 | 0.309239 | 6,267 | 227 | 144 | 27.60793 | 0.772696 | 0.02202 | 0 | 0.298246 | 0 | 0 | 0.137351 | 0.016005 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.081871 | 0.02924 | null | null | 0.087719 | 0 | 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 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
59dd5be01d8ecf99956981370e0d304e9e268c0d | 194 | py | Python | backend/tournesol/entities/__init__.py | iamnkc/tournesol | 4a09985f494577917c357783a37dfae02c57fd82 | [
"CC0-1.0"
] | null | null | null | backend/tournesol/entities/__init__.py | iamnkc/tournesol | 4a09985f494577917c357783a37dfae02c57fd82 | [
"CC0-1.0"
] | null | null | null | backend/tournesol/entities/__init__.py | iamnkc/tournesol | 4a09985f494577917c357783a37dfae02c57fd82 | [
"CC0-1.0"
] | null | null | null | from .video import VideoEntity
ENTITY_CLASSES = [VideoEntity]
ENTITY_TYPE_CHOICES = [
(VideoEntity.name, 'Video'),
]
ENTITY_TYPE_NAME_TO_CLASS = {
k.name: k for k in ENTITY_CLASSES
}
| 16.166667 | 37 | 0.726804 | 26 | 194 | 5.115385 | 0.538462 | 0.255639 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.175258 | 194 | 11 | 38 | 17.636364 | 0.83125 | 0 | 0 | 0 | 0 | 0 | 0.025773 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.125 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
59e2ff0fc12e200fa8a38021618ebe1669d849f7 | 5,164 | py | Python | django_shotgun/tests.py | timgates42/django-shotgun | 55a8778c81a8b4799dda18c0d8ccbc49788df4a5 | [
"BSD-2-Clause"
] | 14 | 2015-03-15T04:29:59.000Z | 2021-11-01T03:53:42.000Z | django_shotgun/tests.py | timgates42/django-shotgun | 55a8778c81a8b4799dda18c0d8ccbc49788df4a5 | [
"BSD-2-Clause"
] | null | null | null | django_shotgun/tests.py | timgates42/django-shotgun | 55a8778c81a8b4799dda18c0d8ccbc49788df4a5 | [
"BSD-2-Clause"
] | 3 | 2018-09-23T21:50:00.000Z | 2021-10-20T02:25:13.000Z |
import os
import sys
from HTMLParser import HTMLParser, HTMLParseError
from django.test import TestCase
import requests
from django_shotgun.settings import EXCLUDE_URLS, ROOT_URL, \
FIXTURE_NAME, FIXTURE_PATH
def external(url):
return url.lower().startswith(("http://", "https://", "mailto:"))
def log(message):
args = " ".join(sys.argv)
if " -v 3" in args or " --verbosity=3" in args:
print message
class DjangoParser(HTMLParser):
"""
HTML parser that parses URLs from anchors and forms in a Django-driven
HTML page.
"""
def __init__(self, url):
"""
URLs and forms are stored in lists. Also store the page's URL in case
if a form with no action, then the page's URL is used as the action.
"""
self.url = url
self.urls = []
self.forms = []
HTMLParser.__init__(self)
def valid_url(self, url):
valid = url.startswith(ROOT_URL) and url not in EXCLUDE_URLS
if not valid and url:
log("Ignoring %s" % url)
return valid
def prefix_host(self, url):
if url and external(ROOT_URL) and not external(url):
url = ROOT_URL.rstrip("/") + "/" + url.lstrip("/")
return url
def handle_starttag(self, tag, attrs):
"""
Add anchor HREFs as URLs and build the list of forms by attaching
each of the form field names and values to it.
"""
attrs = dict(attrs)
if tag == "a":
url = self.prefix_host(attrs.get("href", ""))
if self.valid_url(url):
self.urls.append(url.split("#")[0])
elif tag == "form":
url = self.prefix_host(attrs.get("action", "") or self.url)
if self.valid_url(url):
self.forms.append({"action": url, "fields": {}})
elif tag in ("input", "select", "textarea"):
name = attrs.get("name", "")
if name and self.forms:
value = ""
if name == "csrfmiddlewaretoken":
value = attrs.get("value", "")
self.forms[-1]["fields"][name] = value
class Tests(TestCase):
"""
Runs the DjangoParser over the entire site testing for HTTP error codes.
"""
fixtures = [os.path.join(FIXTURE_PATH, FIXTURE_NAME)]
def test_site(self):
"""
Attempt to test every valid URL on the site by maintaing two lists,
a list of URLs still to check (``todo``), and a list of those that
have been checked (``done``). As each URL is checked it is taken from
the ``todo`` list and put onto the ``done`` list. Checking a URL
will parse new URLs from the given page and these are added to the
``todo`` list if they're not yet checked. This process continues
until the ``todo`` list is empty.
Each URL is a pair containing the URL and form field data if the URL
was parsed as a form action. When dealing with a form URL test it by
performing both a GET and POST with the form data.
"""
todo = [(ROOT_URL, None)] # Start URL
done = []
while True:
url, data = todo.pop(0)
done.append((url, data))
# Build a list of responses, since a form URL will be tested
# more than once via POST and GET.
if external(url):
client = requests
kwargs = {}
else:
client = self.client
kwargs = {"follow": True}
if not data:
responses = [client.get(url, **kwargs)]
else:
responses = [
client.get(url, data=data, **kwargs),
client.post(url, data=data, **kwargs),
]
urls = []
forms = []
# Test each response code and build lists of URLs and forms from
# the parsed HTML.
for response in responses:
log("HTTP %s for %s" % (response.status_code, url))
self.assertEqual(response.status_code, 200)
parser = DjangoParser(url)
try:
parser.feed(response.content)
except HTMLParseError:
pass
urls.extend(parser.urls)
forms.extend(parser.forms)
for url in urls:
url = (url, None)
if url not in todo and url not in done:
todo.append(url)
for form in forms:
# Add the form twice, once with test data and once without.
no_data = form["fields"]
test_data = dict((k, v if v else "test") for k, v in
no_data.items())
urls = [
(form["action"], no_data),
(form["action"], test_data),
]
for url in urls:
if url not in todo and url not in done:
todo.append(url)
if not todo:
break
| 35.129252 | 77 | 0.523625 | 639 | 5,164 | 4.176839 | 0.300469 | 0.018359 | 0.014987 | 0.012364 | 0.065942 | 0.065942 | 0.031472 | 0.031472 | 0.031472 | 0.031472 | 0 | 0.002494 | 0.378776 | 5,164 | 146 | 78 | 35.369863 | 0.829489 | 0.046282 | 0 | 0.105263 | 0 | 0 | 0.048483 | 0 | 0 | 0 | 0 | 0.027397 | 0.010526 | 0 | null | null | 0.010526 | 0.063158 | null | null | 0.010526 | 0 | 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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
ab670a418ea278313c70fe393decbb3a88b0db48 | 357 | py | Python | seutil/ds/__init__.py | Prodigysov/seutil | 988f33f707e43ddf38b0d4bb8805e48dad3a0517 | [
"Apache-2.0"
] | 2 | 2019-07-30T20:33:37.000Z | 2020-01-06T17:20:16.000Z | seutil/ds/__init__.py | Prodigysov/seutil | 988f33f707e43ddf38b0d4bb8805e48dad3a0517 | [
"Apache-2.0"
] | null | null | null | seutil/ds/__init__.py | Prodigysov/seutil | 988f33f707e43ddf38b0d4bb8805e48dad3a0517 | [
"Apache-2.0"
] | null | null | null | """
Adding simple implementations or interfaces to some data types that are missing from the standard library.
"""
import lazy_import
from .graph_common import (Edge, EdgeExistedError, InvariantError, Node,
NodeIndexError)
lattice = lazy_import.lazy_module("seutil.ds.lattice")
trie = lazy_import.lazy_module("seutil.ds.trie")
| 29.75 | 106 | 0.736695 | 44 | 357 | 5.840909 | 0.681818 | 0.116732 | 0.108949 | 0.155642 | 0.217899 | 0.217899 | 0 | 0 | 0 | 0 | 0 | 0 | 0.179272 | 357 | 11 | 107 | 32.454545 | 0.877133 | 0.296919 | 0 | 0 | 0 | 0 | 0.127572 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.8 | 0 | 0.8 | 0 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
ab6b919c10f20d15c83daa6c81d14c1a84b1a059 | 981 | py | Python | matching/plot12.py | seanmchu/algo-research | 199964b7ce376a88e248349946538cb2159c4797 | [
"MIT"
] | null | null | null | matching/plot12.py | seanmchu/algo-research | 199964b7ce376a88e248349946538cb2159c4797 | [
"MIT"
] | null | null | null | matching/plot12.py | seanmchu/algo-research | 199964b7ce376a88e248349946538cb2159c4797 | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt
import matplotlib.markers
hfont = {'fontname':'serif'}
x = [20,40,60,80]
az = [0.6860335195530726, 0.479874213836478, 0.5158273381294963, 0.7716386554621849]
ehyy = [0.6860335195530726, 0.479874213836478, 0.5158273381294963, 0.7716386554621849]
sy1 = [0.9528491620111732, 0.9543616352201256, 0.9723908872901678, 0.9804642857142856]
sy2 = [0.701860335195530726, 0.48979874213836478, 0.52158273381294963, 0.7816386554621849]
pog = [1.0, 1.0, 1.0, 1.0]
pos = [1.0, 1.0, 1.0, 1.0]
plt.plot(x,az, label = "A-S", linestyle = '--', marker = '^')
plt.plot(x,ehyy, label = "EHYY",linestyle = '-.', marker = 'o')
plt.plot(x,sy1, label = "SY1",alpha = 1,lw = 1,linestyle = ':', marker = 's')
plt.plot(x,sy2, label = "SY2",linestyle = 'dotted', marker = 'p')
plt.plot(x,pog, label = "POG",linestyle = '--', marker = 'D')
plt.plot(x,pos, label = "POS",linestyle = '--', marker = 'P')
plt.title("")
plt.xlabel("Capacity (q_c)",**hfont)
plt.legend()
plt.show()
| 40.875 | 90 | 0.670744 | 141 | 981 | 4.659574 | 0.375887 | 0.024353 | 0.027397 | 0.03653 | 0.228311 | 0.228311 | 0.228311 | 0.228311 | 0 | 0 | 0 | 0.353349 | 0.117227 | 981 | 23 | 91 | 42.652174 | 0.405312 | 0 | 0 | 0 | 0 | 0 | 0.068507 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.1 | 0 | 0.1 | 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 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
ab75e129253f08572c93e0c3264604fe797f422b | 327 | py | Python | functions/callstack.py | Rhoynar/pysel | 7a283cfdcaea3b1e33e615d1e655b6bd1f23f09f | [
"MIT"
] | 1 | 2019-09-09T12:58:36.000Z | 2019-09-09T12:58:36.000Z | functions/callstack.py | Rhoynar/pysel | 7a283cfdcaea3b1e33e615d1e655b6bd1f23f09f | [
"MIT"
] | null | null | null | functions/callstack.py | Rhoynar/pysel | 7a283cfdcaea3b1e33e615d1e655b6bd1f23f09f | [
"MIT"
] | null | null | null | # An example of function calling another
def func_a():
print('A')
# func_b() calls system function print()
def func_b():
print('B')
# func_ab() calls func_a() and func_b()
def func_ab():
func_a()
func_b()
print('Done!')
# Main calls func_ab()
def main():
func_ab()
# Call main() function.
main() | 13.625 | 40 | 0.614679 | 51 | 327 | 3.72549 | 0.352941 | 0.105263 | 0.063158 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.223242 | 327 | 24 | 41 | 13.625 | 0.748032 | 0.48318 | 0 | 0 | 0 | 0 | 0.042683 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.363636 | true | 0 | 0 | 0 | 0.363636 | 0.272727 | 0 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
ab7d0b0b3e1b2a762e059cb591f624bc97ff95e7 | 6,090 | py | Python | denim/__init__.py | timsavage/denim | 8aafd7d7b0d6cc4029e451e36e6fa25d4c842a04 | [
"BSD-2-Clause"
] | null | null | null | denim/__init__.py | timsavage/denim | 8aafd7d7b0d6cc4029e451e36e6fa25d4c842a04 | [
"BSD-2-Clause"
] | 1 | 2015-08-06T22:24:16.000Z | 2015-08-18T07:17:38.000Z | denim/__init__.py | timsavage/denim | 8aafd7d7b0d6cc4029e451e36e6fa25d4c842a04 | [
"BSD-2-Clause"
] | null | null | null | # -*- encoding:utf8 -*-
"""::
_/_/_/ _/ _/ _/_/
_/ _/ _/_/ _/_/_/ _/_/_/ _/_/ _/ _/ _/ _/
_/ _/ _/_/_/_/ _/ _/ _/ _/ _/ _/ _/ _/ _/
_/ _/ _/ _/ _/ _/ _/ _/ _/ _/ _/ _/
_/_/_/ _/_/_/ _/ _/ _/ _/ _/ _/ _/ _/ _/_/_/_/
A `Fabric <http://www.fabfile.org>`_ deployment strategy for Python
applications.
Denim has been developed to support Python applications in a similar manor as
capistrano supports Ruby applications. While most methods will work with any
distribution of GNU/Linux, Denim was developed to primarily work with
Debian GNU/Linux (and derivative) distribution. With tools to support nginx,
supervisor, virtualenv, gunicorn, pip etc.
Designed to provide a rich tool-set built on top of and working with the
existing functionality provided by Fabric. Get up and running quickly with
the default deployment strategy.
====================
The default strategy
====================
The default strategy describes a project layout and deployment structure for
Django applications that lets you deploy straight away
The strategy is designed to take a freshly deployed server and provision,
deploy and activate your application, using best practices.
By default your application will run as the user based on the
*env.project_name* variable with a ``/bin/false`` shell and write access to
limited parts of the filesystem. All code is owned by *root*.
Folder Structure
================
Key Variables
-------------
Certain key variables are required to be set in the Fabric ``env`` dictionary,
these should be setup in your *fabfile*:
project_name
The name of your project, this does not need to be Python compatible (ie you
can use a dash '-').
package_name
The name of the python package being deployed, this name is the name of your
applications package folder (i.e. the django project name).
deploy_env
The name of the environment you are deploying your application into, this is
used to determine which configuration should be used. For example production,
stage, uat.
These key variables will be used throughout this document.
Deployment
----------
+------------------------------------------------+-------------------------------------------+
| /opt/*project_name* | Project path |
+-+----------------------------------------------+-------------------------------------------+
| | releases | Path of all releases |
+-+-+--------------------------------------------+-------------------------------------------+
| | *revision*/*package_name* | The revision and application package |
+-+-+--------------------------------------------+-------------------------------------------+
| | current | The current active release |
+-+----------------------------------------------+-------------------------------------------+
| | bin | Binary folder [2]_ |
+-+----------------------------------------------+-------------------------------------------+
| | include | Include folder [2]_ |
+-+----------------------------------------------+-------------------------------------------+
| | lib | Lib folder [2]_ |
+-+----------------------------------------------+-------------------------------------------+
| | public | Public web root for web server [3]_ |
+-+----------------------------------------------+-------------------------------------------+
| | var | Application variable data [3]_ |
+-+-+--------------------------------------------+-------------------------------------------+
| | pids | Any application PIDS |
+---+--------------------------------------------+-------------------------------------------+
| | wsgi.sock | WSGI socket |
+---+--------------------------------------------+-------------------------------------------+
| /var/log/*project_name* | Project log path [3]_ |
+------------------------------------------------+-------------------------------------------+
.. [1] Symlink to the current revision.
.. [2] Virtualenv created folders (if virtualenv is in use).
.. [3] Writable by application user.
Development
-----------
+--------------------------------+--------------------------------+
| app | Application source root |
+-+------------------------------+--------------------------------+
| | *package_name* | Application package |
+-+------------------------------+--------------------------------+
| | requirements.txt | PIP requirements file |
+-+------------------------------+--------------------------------+
| conf | Configuration |
+-+------------------------------+--------------------------------+
| | init.d | Startup scripts for init.d |
+-+------------------------------+--------------------------------+
| | nginx | Nginx configuration |
+-+-+----------------------------+--------------------------------+
| | nginx.*deploy_env*.conf | Environment configuration [4]_ |
+---+----------------------------+--------------------------------+
| fabfile.py | Project fabric definition file |
+-+------------------------------+--------------------------------+
.. [4] Used to apply specific configuration based on deployment environment.
"""
__version__ = '0.2'
| 49.512195 | 94 | 0.367816 | 417 | 6,090 | 5.158273 | 0.458034 | 0.02557 | 0.016736 | 0.024175 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003148 | 0.269787 | 6,090 | 122 | 95 | 49.918033 | 0.480549 | 0.995074 | 0 | 0 | 0 | 0 | 0.136364 | 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 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
ab7eada6641d229b06c31802d325c713cfd4d648 | 988 | py | Python | program1.py | petroud/python-prj | c017a557da51d5b712e5c9fc845ada087d9c6897 | [
"Apache-2.0"
] | null | null | null | program1.py | petroud/python-prj | c017a557da51d5b712e5c9fc845ada087d9c6897 | [
"Apache-2.0"
] | null | null | null | program1.py | petroud/python-prj | c017a557da51d5b712e5c9fc845ada087d9c6897 | [
"Apache-2.0"
] | 1 | 2020-12-14T21:01:14.000Z | 2020-12-14T21:01:14.000Z | #This is my first program in python. Trying various things and capabilities of python
from datetime import datetime
import getpass
todaysDate = datetime.today().strftime('%d-%m-%Y')
welcomeMessage = "Hello " + getpass.getuser() + ' , welcome!'
userActions = 0
print('\n-------------------------------------------------------------------')
print('Date: ', todaysDate)
print(welcomeMessage)
print('This program is just an introduction to Python programming language')
print('-------------------------------------------------------------------')
userName = input('What\'s your name dear: ')
userActions = userActions + 1
print('\nOkay ',userName,' let\'s start!')
userAge = int(input('What\'s your age: '))
userActions = userActions + 1
if(userAge < 18):
print('>>So you are not an adult yet.\n')
else:
print('>>Oh you are an adult.\n')
print('You did a total of ',userActions,' actions. Perfect job!')
print('Goodbye, ', getpass.getuser(), ' || Program exiting...')
| 27.444444 | 85 | 0.59413 | 115 | 988 | 5.104348 | 0.608696 | 0.0477 | 0.034072 | 0.0477 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005862 | 0.13664 | 988 | 35 | 86 | 28.228571 | 0.682298 | 0.08502 | 0 | 0.095238 | 0 | 0 | 0.425721 | 0.150776 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.142857 | 0.095238 | 0 | 0.095238 | 0.47619 | 0 | 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 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 2 |
ab804f28358bf8f930a25b50870d572847b07ef4 | 1,124 | py | Python | examples/bingohall/bingohall/complete_line.py | ramalho/modernoopy | 07f53e0bb02673293633b3ad764ec20833bb3e76 | [
"BSD-3-Clause"
] | 13 | 2018-10-27T14:54:31.000Z | 2019-10-13T09:52:04.000Z | examples/bingohall/bingohall/complete_line.py | ramalho/modernoopy | 07f53e0bb02673293633b3ad764ec20833bb3e76 | [
"BSD-3-Clause"
] | null | null | null | examples/bingohall/bingohall/complete_line.py | ramalho/modernoopy | 07f53e0bb02673293633b3ad764ec20833bb3e76 | [
"BSD-3-Clause"
] | 2 | 2019-02-15T22:32:57.000Z | 2019-03-18T11:16:28.000Z | import pytest
@pytest.fixture
def board():
return [
[1, 1, 0],
[0, 1, 0],
[1, 1, 1]
]
@pytest.fixture
def board_mirrored():
return [
[0, 1, 1],
[0, 1, 0],
[1, 1, 1]
]
def complete_column(board, column):
return all(row[column] for row in board)
def complete_row(board, row):
return all(board[row])
def complete_diagonal(board, row, column):
size = len(board) # assume square board
if row == column:
return all(board[i][i] for i in range(size))
elif row == (size - column - 1):
return all(board[i][size - i - 1] for i in range(size))
def test_complete_column(board):
assert complete_column(board, 1)
def test_complete_column_false(board):
assert not complete_column(board, 2)
def test_complete_row(board):
assert complete_row(board, 2)
def test_complete_row_false(board):
assert not complete_row(board, 1)
def test_complete_diagonal(board):
assert complete_diagonal(board, 1, 1)
def test_complete_diagonal_mirrored(board_mirrored):
assert complete_diagonal(board_mirrored, 1, 1)
| 18.733333 | 63 | 0.645018 | 164 | 1,124 | 4.256098 | 0.176829 | 0.022923 | 0.12894 | 0.068768 | 0.312321 | 0.08596 | 0 | 0 | 0 | 0 | 0 | 0.032634 | 0.236655 | 1,124 | 59 | 64 | 19.050847 | 0.780886 | 0.016904 | 0 | 0.216216 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.162162 | 1 | 0.297297 | false | 0 | 0.027027 | 0.108108 | 0.486486 | 0 | 0 | 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 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
aba64a3c28377984f43a5ba15731c0758952848e | 91 | py | Python | fedml_api/data_preprocessing/shakespeare/__init__.py | GabriJP/FedML | 9ccf52baddc065bf9cf3ca8ae2eeaadbc338e988 | [
"Apache-2.0"
] | null | null | null | fedml_api/data_preprocessing/shakespeare/__init__.py | GabriJP/FedML | 9ccf52baddc065bf9cf3ca8ae2eeaadbc338e988 | [
"Apache-2.0"
] | null | null | null | fedml_api/data_preprocessing/shakespeare/__init__.py | GabriJP/FedML | 9ccf52baddc065bf9cf3ca8ae2eeaadbc338e988 | [
"Apache-2.0"
] | null | null | null | from .data_loader import ShakespeareDataLoader
__all__ = [
'ShakespeareDataLoader',
]
| 15.166667 | 46 | 0.769231 | 7 | 91 | 9.285714 | 0.857143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.153846 | 91 | 5 | 47 | 18.2 | 0.844156 | 0 | 0 | 0 | 0 | 0 | 0.230769 | 0.230769 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
abb8f5e963737c0fbd2acf54a82c3801b011ebf3 | 1,095 | py | Python | app/customers/migrations/0001_initial.py | dylanbuchi/customers-rest-api | d60df324cac9d7d87bd1eb5a7b87cace1848d93b | [
"MIT"
] | null | null | null | app/customers/migrations/0001_initial.py | dylanbuchi/customers-rest-api | d60df324cac9d7d87bd1eb5a7b87cace1848d93b | [
"MIT"
] | null | null | null | app/customers/migrations/0001_initial.py | dylanbuchi/customers-rest-api | d60df324cac9d7d87bd1eb5a7b87cace1848d93b | [
"MIT"
] | null | null | null | # Generated by Django 3.1.6 on 2021-02-05 13:18
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Customer',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('first_name', models.CharField(max_length=255)),
('last_name', models.CharField(max_length=255)),
('email', models.EmailField(max_length=255, unique=True)),
('gender', models.CharField(max_length=255)),
('company', models.CharField(max_length=255)),
('city', models.CharField(max_length=255)),
('title', models.CharField(max_length=255)),
('latitude', models.DecimalField(blank=True, decimal_places=4, max_digits=22, null=True)),
('longitude', models.DecimalField(blank=True, decimal_places=4, max_digits=22, null=True)),
],
),
]
| 36.5 | 114 | 0.587215 | 117 | 1,095 | 5.358974 | 0.504274 | 0.100478 | 0.133971 | 0.229665 | 0.46252 | 0.290271 | 0.191388 | 0.191388 | 0.191388 | 0.191388 | 0 | 0.052764 | 0.273059 | 1,095 | 29 | 115 | 37.758621 | 0.734925 | 0.041096 | 0 | 0 | 1 | 0 | 0.071565 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.045455 | 0 | 0.227273 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
abca6329df057522f120f0a9473ab0b47dbef8e2 | 217 | py | Python | ddi_search_engine/Bio/NBRF/ValSeq.py | dbmi-pitt/DIKB-Evidence-analytics | 9ffd629db30c41ced224ff2afdf132ce9276ae3f | [
"MIT"
] | 3 | 2015-06-08T17:58:54.000Z | 2022-03-10T18:49:44.000Z | ddi_search_engine/Bio/NBRF/ValSeq.py | dbmi-pitt/DIKB-Evidence-analytics | 9ffd629db30c41ced224ff2afdf132ce9276ae3f | [
"MIT"
] | null | null | null | ddi_search_engine/Bio/NBRF/ValSeq.py | dbmi-pitt/DIKB-Evidence-analytics | 9ffd629db30c41ced224ff2afdf132ce9276ae3f | [
"MIT"
] | 1 | 2019-08-19T22:05:14.000Z | 2019-08-19T22:05:14.000Z | valid_sequence_dict = { "P1": "complete protein", "F1": "protein fragment", \
"DL": "linear DNA", "DC": "circular DNA", "RL": "linear RNA", \
"RC":"circular RNA", "N3": "transfer RNA", "N1": "other"
}
| 43.4 | 78 | 0.557604 | 26 | 217 | 4.576923 | 0.769231 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.023121 | 0.202765 | 217 | 4 | 79 | 54.25 | 0.66474 | 0 | 0 | 0 | 0 | 0 | 0.511737 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
abf0c5996dadb54198e9f6f8d49719d49968e777 | 558 | py | Python | adventofcode-2021/01-2.py | HannahLo/puzzle | f49db77d46a828c091059286863ac36c2af9cd69 | [
"MIT"
] | null | null | null | adventofcode-2021/01-2.py | HannahLo/puzzle | f49db77d46a828c091059286863ac36c2af9cd69 | [
"MIT"
] | null | null | null | adventofcode-2021/01-2.py | HannahLo/puzzle | f49db77d46a828c091059286863ac36c2af9cd69 | [
"MIT"
] | null | null | null | import sys
input = open(sys.argv[1], 'r').read().split('\n')
if input[-1] == '':
input.pop()
greater_count = 0
"""
for idx in range(3, len(input)):
# (int(input[idx-1]) + int(input[idx-2]) + int(input[idx-3])) < (int(input[idx]) + int(input[idx-1]) + int(input[idx-2]))
# int(input[idx-3]) < int(input[idx-2])
if int(input[idx-3]) < int(input[idx-2]):
greater_count+=1
"""
# actually, check 0 -> len-4
for idx in range(0, len(input)-3):
if int(input[idx]) < int(input[idx+1]):
greater_count+=1
print(greater_count)
| 22.32 | 125 | 0.577061 | 96 | 558 | 3.3125 | 0.28125 | 0.301887 | 0.415094 | 0.150943 | 0.446541 | 0.446541 | 0.446541 | 0.374214 | 0.295597 | 0.295597 | 0 | 0.04386 | 0.182796 | 558 | 24 | 126 | 23.25 | 0.653509 | 0.046595 | 0 | 0 | 0 | 0 | 0.012048 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 0 | 0.111111 | 0.111111 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
f9f4bbd47813de2cb89fac095640c698bd84ed3b | 779 | py | Python | instances/models.py | exler/metricbox | cf0a409f75c14cf085e8efd0fb1631605d1b0e62 | [
"MIT"
] | null | null | null | instances/models.py | exler/metricbox | cf0a409f75c14cf085e8efd0fb1631605d1b0e62 | [
"MIT"
] | null | null | null | instances/models.py | exler/metricbox | cf0a409f75c14cf085e8efd0fb1631605d1b0e62 | [
"MIT"
] | null | null | null | from typing import Any
from django.conf import settings
from django.db import models
from common.mixins import ModelDiffMixin
from common.models import TimeStampedModel
from common.utils import slugify
class Instance(ModelDiffMixin, TimeStampedModel):
user = models.ForeignKey(settings.AUTH_USER_MODEL, on_delete=models.PROTECT, related_name="instances")
name = models.CharField(max_length=128)
slug = models.SlugField(max_length=128, unique=True, blank=True)
url = models.URLField("URL", max_length=255)
def __str__(self) -> str:
return self.name
def save(self, *args: Any, **kwargs: Any) -> None:
if not self.slug or "name" in self.changed_fields:
self.slug = slugify(self.name)
super().save(*args, **kwargs)
| 29.961538 | 106 | 0.720154 | 104 | 779 | 5.278846 | 0.519231 | 0.054645 | 0.043716 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014041 | 0.17715 | 779 | 25 | 107 | 31.16 | 0.842434 | 0 | 0 | 0 | 0 | 0 | 0.020539 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0.352941 | 0.058824 | 0.823529 | 0 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
e60efb89096a2431d078eb17f8ba63671291674d | 416 | py | Python | template.py | vanHavel/AdventOfCode2021 | a83ee21cffff56ba3f49de7af5113bf0b11fea7a | [
"MIT"
] | null | null | null | template.py | vanHavel/AdventOfCode2021 | a83ee21cffff56ba3f49de7af5113bf0b11fea7a | [
"MIT"
] | null | null | null | template.py | vanHavel/AdventOfCode2021 | a83ee21cffff56ba3f49de7af5113bf0b11fea7a | [
"MIT"
] | null | null | null | from aocd import get_data, submit
DAY = %DAY%
YEAR = 2021
def part1(data: str) -> str:
res = ''
return res
def part2(data: str) -> str:
res = ''
return res
if __name__ == '__main__':
input_data = get_data(day=DAY, year=YEAR)
ans1 = part1(input_data)
submit(answer=ans1, day=DAY, year=YEAR, part=1)
#ans2 = part2(input_data)
#submit(answer=ans2, day=DAY, year=YEAR, part=2)
| 18.086957 | 52 | 0.625 | 63 | 416 | 3.920635 | 0.396825 | 0.097166 | 0.161943 | 0.17004 | 0.323887 | 0.178138 | 0 | 0 | 0 | 0 | 0 | 0.04375 | 0.230769 | 416 | 22 | 53 | 18.909091 | 0.728125 | 0.170673 | 0 | 0.307692 | 0 | 0 | 0.023324 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.076923 | null | null | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
e6104d20199548e3c4f822cccc9ff28880810571 | 384 | py | Python | intake/models/fields.py | cforlando/intake | a5233d5c0f862f28ee265b9b4831405aabeec7e2 | [
"MIT"
] | 51 | 2016-07-20T02:26:57.000Z | 2021-07-07T14:45:06.000Z | intake/models/fields.py | enterstudio/intake | 793a8935914fdc8356321ec46e54d9ae1eeeee04 | [
"MIT"
] | 1,091 | 2016-04-29T18:07:45.000Z | 2021-04-19T18:39:39.000Z | intake/models/fields.py | enterstudio/intake | 793a8935914fdc8356321ec46e54d9ae1eeeee04 | [
"MIT"
] | 24 | 2016-06-14T18:10:43.000Z | 2021-11-14T20:26:39.000Z | from django.contrib.postgres.fields import JSONField
from intake import validators
class ContactInfoJSONField(JSONField):
"""
A field for storing contact information that validates
data against expected keys and structure
"""
def validate(self, value, model_instance):
validators.contact_info_json(value)
super().validate(value, model_instance)
| 27.428571 | 58 | 0.744792 | 44 | 384 | 6.409091 | 0.772727 | 0.070922 | 0.12766 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1875 | 384 | 13 | 59 | 29.538462 | 0.903846 | 0.247396 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.333333 | 0 | 0.666667 | 0 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
e634036731b7d8dc966eb0c7c72c2bed4d72260e | 2,339 | py | Python | data/games.py | AndryMaster/Game-store-Site | 9f59fd7e9cefdcc3790023138beed493b37edeca | [
"MIT"
] | null | null | null | data/games.py | AndryMaster/Game-store-Site | 9f59fd7e9cefdcc3790023138beed493b37edeca | [
"MIT"
] | null | null | null | data/games.py | AndryMaster/Game-store-Site | 9f59fd7e9cefdcc3790023138beed493b37edeca | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import datetime
import sqlalchemy
from sqlalchemy import orm
from sqlalchemy_serializer import SerializerMixin
from .db_session import SqlAlchemyBase
from .model import Model
class Games(SqlAlchemyBase, SerializerMixin, Model):
__tablename__ = 'games'
id = sqlalchemy.Column(sqlalchemy.Integer, primary_key=True, autoincrement=True)
title = sqlalchemy.Column(sqlalchemy.String, unique=True, nullable=True)
rating = sqlalchemy.Column(sqlalchemy.Integer, default=0)
original_price = sqlalchemy.Column(sqlalchemy.Float, nullable=True)
discount = sqlalchemy.Column(sqlalchemy.Float, nullable=True)
discount_price = sqlalchemy.Column(sqlalchemy.Float, nullable=True)
image_urls = sqlalchemy.Column(sqlalchemy.String, nullable=True)
placement_date = sqlalchemy.Column(sqlalchemy.DateTime, default=datetime.datetime.now)
published_date = sqlalchemy.Column(sqlalchemy.DateTime, nullable=True)
developer_name = sqlalchemy.Column(sqlalchemy.String, nullable=True)
is_open = sqlalchemy.Column(sqlalchemy.Boolean, default=False)
user_id = sqlalchemy.Column(sqlalchemy.Integer, sqlalchemy.ForeignKey("users.id"))
user = orm.relation('User')
comments = orm.relationship("Comments", back_populates='game')
def show_all(self):
self.is_open = True
self.placement_date = datetime.datetime.now()
def get_img_urls(self) -> dict:
return {'Wide': self.image_urls.split(';')[0],
'Tall': self.image_urls.split(';')[1]}
def set_img_urls(self, urls: dict):
self.image_urls = ';'.join([urls['Wide'], urls['Tall']])
def set_published_date(self, date_str: str):
y, m, d = list(map(int, date_str.split('-')))
self.published_date = datetime.datetime(year=y, month=m, day=d)
def add_rating(self, delta_rating):
if self.is_open:
self.rating += delta_rating
# @staticmethod
# def value_to_str(value, is_total=False):
# if isinstance(value, int) or isinstance(value, float):
# if round(value, 2) or is_total:
# return f"{value:0.2f} ₽"
# else:
# return "Бесплатно"
# # raise TypeError("Неправильный тип для валюты!")
def __repr__(self):
return f'<Game_{self.id}> "{self.title}"'
| 37.126984 | 90 | 0.684053 | 283 | 2,339 | 5.501767 | 0.363958 | 0.123314 | 0.200385 | 0.063584 | 0.249839 | 0.156069 | 0.09955 | 0 | 0 | 0 | 0 | 0.003702 | 0.191535 | 2,339 | 62 | 91 | 37.725806 | 0.819143 | 0.132535 | 0 | 0 | 0 | 0 | 0.039643 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.157895 | false | 0 | 0.157895 | 0.052632 | 0.789474 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
e63c1d8b5db51eee4c8607b83d2e960ec7b2bc7b | 354 | py | Python | helpers/models.py | guezandy/PAS-EMIS | 7d07c94852855c9d63e3826ff1769427495e5775 | [
"MIT"
] | null | null | null | helpers/models.py | guezandy/PAS-EMIS | 7d07c94852855c9d63e3826ff1769427495e5775 | [
"MIT"
] | 6 | 2021-04-01T16:11:32.000Z | 2021-05-03T18:14:09.000Z | helpers/models.py | guezandy/PAS-EMIS | 7d07c94852855c9d63e3826ff1769427495e5775 | [
"MIT"
] | null | null | null | import datetime
from django.db import models
class TrackedUpdateModel(models.Model):
created_at = models.DateField(auto_now_add=True)
created_by = models.CharField(max_length=255, blank=True)
updated_at = models.DateField(auto_now_add=True)
updated_by = models.CharField(max_length=255, blank=True)
class Meta:
abstract=True | 32.181818 | 61 | 0.759887 | 49 | 354 | 5.285714 | 0.510204 | 0.061776 | 0.131274 | 0.162162 | 0.532819 | 0.532819 | 0.532819 | 0.293436 | 0 | 0 | 0 | 0.02 | 0.152542 | 354 | 11 | 62 | 32.181818 | 0.843333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.222222 | 0 | 0.888889 | 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 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
e6561547dfb45da7ee88aa1455c4c9673aaafe0b | 258 | py | Python | mnetemplate/_template.py | rob-luke/mne-project-template | da19c1bdad32fafcfe46923fcbecc89015a966dd | [
"BSD-3-Clause"
] | 2 | 2021-02-03T18:59:06.000Z | 2021-07-30T06:12:57.000Z | mnetemplate/_template.py | rob-luke/mne-project-template | da19c1bdad32fafcfe46923fcbecc89015a966dd | [
"BSD-3-Clause"
] | 5 | 2020-05-03T09:45:15.000Z | 2021-07-25T06:25:35.000Z | mnetemplate/_template.py | rob-luke/mne-project-template | da19c1bdad32fafcfe46923fcbecc89015a966dd | [
"BSD-3-Clause"
] | 5 | 2019-04-27T07:40:33.000Z | 2021-03-24T01:48:37.000Z | """
This is a module to be used as a reference for building other modules
"""
def foo():
"""docstring for foo"""
return 'foo'
class Bar():
"""docstring for Bar"""
def __init__(self, arg):
super().__init__()
self.arg = arg
| 16.125 | 69 | 0.581395 | 35 | 258 | 4.057143 | 0.657143 | 0.169014 | 0.15493 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.275194 | 258 | 15 | 70 | 17.2 | 0.759358 | 0.406977 | 0 | 0 | 0 | 0 | 0.022222 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0 | 0.666667 | 0 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
e659fadbdf3aad629f8ceb88e42e4c7d8e7159e3 | 7,449 | py | Python | mysite/settings.py | MohammedRakib/Django | b8d4d7bc381849e8fbce3ed482563522f321b09c | [
"MIT"
] | 2 | 2020-10-01T09:24:50.000Z | 2020-10-28T04:55:49.000Z | mysite/settings.py | MohammedRakib/Django | b8d4d7bc381849e8fbce3ed482563522f321b09c | [
"MIT"
] | 4 | 2021-03-30T14:00:52.000Z | 2021-09-22T19:25:25.000Z | mysite/settings.py | MohammedRakib/Login-Logout-System | b8d4d7bc381849e8fbce3ed482563522f321b09c | [
"MIT"
] | null | null | null | """
Django settings for mysite project.
Generated by 'django-admin startproject' using Django 3.0.8.
For more information on this file, see
https://docs.djangoproject.com/en/3.0/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.0/ref/settings/
"""
import os
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/3.0/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = '9ytuh3qnf728e^g@)51b6%wbi*8$btxez-b*@9q=86l$kz58l!'
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = True
ALLOWED_HOSTS = ['sample2-django.herokuapp.com', '127.0.0.1']
# Application definition
INSTALLED_APPS = [
'myapp',
'social_django',
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
]
MIDDLEWARE = [
'social_django.middleware.SocialAuthExceptionMiddleware',
'whitenoise.middleware.WhiteNoiseMiddleware',
'django.middleware.security.SecurityMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.common.CommonMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.middleware.clickjacking.XFrameOptionsMiddleware',
]
ROOT_URLCONF = 'mysite.urls'
TEMPLATES = [
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [os.path.join(BASE_DIR, 'templates')],
'APP_DIRS': True,
'OPTIONS': {
'context_processors': [
'social_django.context_processors.backends',
'social_django.context_processors.login_redirect',
'django.template.context_processors.debug',
'django.template.context_processors.request',
'django.contrib.auth.context_processors.auth',
'django.contrib.messages.context_processors.messages',
],
},
},
]
WSGI_APPLICATION = 'mysite.wsgi.application'
# Database
# https://docs.djangoproject.com/en/3.0/ref/settings/#databases
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': os.path.join(BASE_DIR, 'db.sqlite3'),
}
}
import dj_database_url
db_from_env = dj_database_url.config(conn_max_age=600)
DATABASES['default'].update(db_from_env)
# Password validation
# https://docs.djangoproject.com/en/3.0/ref/settings/#auth-password-validators
AUTH_PASSWORD_VALIDATORS = [
{
'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
},
]
AUTHENTICATION_BACKENDS = (
'social_core.backends.github.GithubOAuth2',
'social_core.backends.google.GoogleOAuth2',
'social_core.backends.linkedin.LinkedinOAuth2',
'django.contrib.auth.backends.ModelBackend',
)
#SOCAIL ACCOUNTS
SOCIAL_AUTH_GITHUB_KEY = '64bb1387469db405c532'
SOCIAL_AUTH_GITHUB_SECRET = 'f65bad213b1cd41542022efe10c3a8f46ba0e326'
SOCIAL_AUTH_GOOGLE_OAUTH2_KEY = '608285229918-n1mctkfht5jshe074qe7b954ism5el3m.apps.googleusercontent.com'
SOCIAL_AUTH_GOOGLE_OAUTH2_SECRET = 'ZLfl1eUBQaB295nRw1le2sc5'
SOCIAL_AUTH_GOOGLE_OAUTH2_SCOPE = [
'https://www.googleapis.com/auth/userinfo.profile',
'https://www.googleapis.com/auth/userinfo.email',
]
SOCIAL_AUTH_LINKEDIN_OAUTH2_KEY = '86gye4tm4k4vfv'
SOCIAL_AUTH_LINKEDIN_OAUTH2_SECRET = 'IeTBmFSVxuY3pWJ4'
SOCIAL_AUTH_LINKEDIN_OAUTH2_SCOPE = ['r_liteprofile', 'r_emailaddress']
SOCIAL_AUTH_LINKEDIN_OAUTH2_FIELD_SELECTORS = ['email-address', 'formatted-name', 'public-profile-url', 'picture-url']
SOCIAL_AUTH_LINKEDIN_OAUTH2_EXTRA_DATA = [
('id', 'id'),
('formatted-name', 'name'),
('email-address', 'email_address'),
('picture-url', 'picture_url'),
('public-profile-url', 'profile_url'),
]
SOCIAL_AUTH_PIPELINE = (
# Get the information we can about the user and return it in a simple
# format to create the user instance later. In some cases the details are
# already part of the auth response from the provider, but sometimes this
# could hit a provider API.
'social_core.pipeline.social_auth.social_details',
# Get the social uid from whichever service we're authing thru. The uid is
# the unique identifier of the given user in the provider.
'social_core.pipeline.social_auth.social_uid',
# Verifies that the current auth process is valid within the current
# project, this is where emails and domains whitelists are applied (if
# defined).
'social_core.pipeline.social_auth.auth_allowed',
# Checks if the current social-account is already associated in the site.
'social_core.pipeline.social_auth.social_user',
# Make up a username for this person, appends a random string at the end if
# there's any collision.
'social_core.pipeline.user.get_username',
# Send a validation email to the user to verify its email address.
# Disabled by default.
'social_core.pipeline.mail.mail_validation',
# Associates the current social details with another user account with
# a similar email address. Disabled by default.
# 'social_core.pipeline.social_auth.associate_by_email',
# Create a user account if we haven't found one yet.
'social_core.pipeline.user.create_user',
# Create the record that associates the social account with the user.
'social_core.pipeline.social_auth.associate_user',
# Populate the extra_data field in the social record with the values
# specified by settings (and the default ones like access_token, etc).
'social_core.pipeline.social_auth.load_extra_data',
# Update the user record with any changed info from the auth service.
'social_core.pipeline.user.user_details',
)
# Login, logout, login redirect, logout redirect URL
LOGIN_URL = 'login'
LOGOUT_URL = 'logout'
LOGIN_REDIRECT_URL = '/'
LOGOUT_REDIRECT_URL = 'login'
SOCIAL_AUTH_LOGIN_ERROR_URL = '/settings/'
SOCIAL_AUTH_LOGIN_REDIRECT_URL = '/settings/'
SOCIAL_AUTH_RAISE_EXCEPTIONS = False
# Internationalization
# https://docs.djangoproject.com/en/3.0/topics/i18n/
LANGUAGE_CODE = 'en-us'
TIME_ZONE = 'Asia/Dhaka'
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/3.0/howto/static-files/
#Static Root specifies the diretory from where all static files will be fetched when deployed
#in a web server. The server runs the python manage.py collectstatic command which creates a folder
#inside the directory mentioned in the STATIC ROOT command (in our case the folder name is static files) and copies all static files to that folder
STATIC_ROOT = os.path.join(BASE_DIR, 'staticfiles')
STATIC_URL = '/static/'
#STATIC_DIRS no need if there is a static folder in each app's directory
| 32.960177 | 147 | 0.736072 | 938 | 7,449 | 5.683369 | 0.348614 | 0.039392 | 0.037141 | 0.032827 | 0.168261 | 0.138998 | 0.067717 | 0.067717 | 0.02251 | 0 | 0 | 0.021687 | 0.158142 | 7,449 | 225 | 148 | 33.106667 | 0.828417 | 0.365284 | 0 | 0 | 1 | 0 | 0.543316 | 0.419893 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.042017 | 0.016807 | 0 | 0.016807 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
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