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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2b6e4feb528e794151fe0780d3fd084635cc36c5 | 879 | py | Python | ubivar/test/test_integration.py | oriskami/oriskami-python | 2b0d81f713a9149977907183c67eec136d49ee8c | [
"MIT"
] | 4 | 2017-05-28T19:37:31.000Z | 2017-06-13T11:34:26.000Z | ubivar/test/test_integration.py | ubivar/ubivar-python | 2b0d81f713a9149977907183c67eec136d49ee8c | [
"MIT"
] | null | null | null | ubivar/test/test_integration.py | ubivar/ubivar-python | 2b0d81f713a9149977907183c67eec136d49ee8c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import unittest2
if __name__ == '__main__':
unittest2.main()
| 23.131579 | 57 | 0.704209 | # -*- coding: utf-8 -*-
import os
import sys
import unittest2
import ubivar
from mock import patch
from ubivar.test.helper import (UbivarTestCase, NOW)
class FunctionalTests(UbivarTestCase):
request_client = ubivar.http_client.Urllib2Client
def setUp(self):
super(FunctionalTests, self).setUp()
... | 0 | 0 | 0 | 628 | 0 | 0 | 0 | 1 | 157 |
01f5f713c9f5b6622ee771d1a280ade07ea7739f | 886 | py | Python | care/facility/migrations/0177_auto_20200916_1448.py | gigincg/care | 07be6a7982b5c46a854e3435a52662f32800c8ae | [
"MIT"
] | 189 | 2020-03-17T17:18:58.000Z | 2022-02-22T09:49:45.000Z | care/facility/migrations/0177_auto_20200916_1448.py | gigincg/care | 07be6a7982b5c46a854e3435a52662f32800c8ae | [
"MIT"
] | 598 | 2020-03-19T21:22:09.000Z | 2022-03-30T05:08:37.000Z | care/facility/migrations/0177_auto_20200916_1448.py | gigincg/care | 07be6a7982b5c46a854e3435a52662f32800c8ae | [
"MIT"
] | 159 | 2020-03-19T18:45:56.000Z | 2022-03-17T13:23:12.000Z | # Generated by Django 2.2.11 on 2020-09-16 09:18
| 35.44 | 292 | 0.646727 | # Generated by Django 2.2.11 on 2020-09-16 09:18
import django.core.validators
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('facility', '0176_auto_20200916_1443'),
]
operations = [
migrations.AddField(
model_name='shifting... | 0 | 0 | 0 | 741 | 0 | 0 | 0 | 27 | 68 |
a9e45c93c57afe519d4227c00887dce9200f4d06 | 133 | py | Python | dynamic_watershed/__init__.py | PeterJackNaylor/dynamic_watershed | 37ac2dcc85dbcbefdd092ee3912a9888ae1269af | [
"MIT"
] | 11 | 2018-09-03T11:39:33.000Z | 2022-02-01T09:03:35.000Z | dynamic_watershed/__init__.py | PeterJackNaylor/dynamic_watershed | 37ac2dcc85dbcbefdd092ee3912a9888ae1269af | [
"MIT"
] | null | null | null | dynamic_watershed/__init__.py | PeterJackNaylor/dynamic_watershed | 37ac2dcc85dbcbefdd092ee3912a9888ae1269af | [
"MIT"
] | null | null | null | """ dynamic_watershed/__init__.py """
# __all__ = []
| 16.625 | 43 | 0.759398 | """ dynamic_watershed/__init__.py """
# __all__ = []
from .dynamic_watershed import post_process
from .version import __version__
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33 | 46 |
705e5afc9b357faa79c77b95cc4c2b90b2ead2c4 | 215 | py | Python | env/lib/python3.5/site-packages/pylint/test/functional/not_async_context_manager_py37.py | Udolf15/recommedMeMovies | be5ae74acd98e3f93beaaa5bb55623974fb24247 | [
"MIT"
] | 33 | 2019-08-04T01:48:11.000Z | 2022-03-20T13:53:42.000Z | env/lib/python3.5/site-packages/pylint/test/functional/not_async_context_manager_py37.py | Udolf15/recommedMeMovies | be5ae74acd98e3f93beaaa5bb55623974fb24247 | [
"MIT"
] | 16 | 2020-02-12T00:28:11.000Z | 2022-03-11T23:48:19.000Z | env/lib/python3.5/site-packages/pylint/test/functional/not_async_context_manager_py37.py | Udolf15/recommedMeMovies | be5ae74acd98e3f93beaaa5bb55623974fb24247 | [
"MIT"
] | 12 | 2019-08-12T07:59:38.000Z | 2022-03-24T08:09:40.000Z | # pylint: disable=missing-docstring
| 16.538462 | 42 | 0.776744 | # pylint: disable=missing-docstring
from contextlib import asynccontextmanager
@asynccontextmanager
async def context_manager(value):
yield value
async with context_manager(42) as ans:
assert ans == 42
| 0 | 49 | 38 | 0 | 0 | 0 | 0 | 21 | 69 |
0acc7992c6a4ebe8570e0359ddb4646be53431d5 | 2,445 | py | Python | RottenTomatoes/rt/rt/pipelines.py | hovhannest/TMScrappers | b9218bead4450931359b6827f3caf9278fed17b2 | [
"MIT"
] | null | null | null | RottenTomatoes/rt/rt/pipelines.py | hovhannest/TMScrappers | b9218bead4450931359b6827f3caf9278fed17b2 | [
"MIT"
] | null | null | null | RottenTomatoes/rt/rt/pipelines.py | hovhannest/TMScrappers | b9218bead4450931359b6827f3caf9278fed17b2 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html
| 34.928571 | 93 | 0.639264 | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html
import csv
from scrapy import signals
from scrapy.exporters import CsvItemExporter
import inspect
from rt.items import *
from rt... | 0 | 234 | 0 | 1,832 | 0 | 0 | 0 | 32 | 155 |
62ecc636d39a75a2ad17adc663a12642b740033b | 1,419 | py | Python | tictactoe_project/tests/board_test.py | agryman/sean | 11baf69c6eb9308266126bf9c8b1c67c6fd33afc | [
"MIT"
] | 1 | 2020-03-28T18:17:52.000Z | 2020-03-28T18:17:52.000Z | tictactoe_project/tests/board_test.py | agryman/sean | 11baf69c6eb9308266126bf9c8b1c67c6fd33afc | [
"MIT"
] | 1 | 2022-01-21T21:33:00.000Z | 2022-01-21T21:33:00.000Z | tictactoe_project/tests/board_test.py | agryman/sean | 11baf69c6eb9308266126bf9c8b1c67c6fd33afc | [
"MIT"
] | null | null | null | """This module tests the board module."""
| 30.191489 | 63 | 0.617336 | """This module tests the board module."""
import pytest
from tictactoe.player import Player
from tictactoe.row import Row
from tictactoe.board import Board, cell_indices
class TestCellIndices:
def test_fail(self):
with pytest.raises(ValueError):
cell_indices(0)
with pytest.raises(ValueE... | 0 | 0 | 0 | 1,180 | 0 | 0 | 0 | 40 | 157 |
e809129ade419fef97e899f2906ecc9e7c295aa6 | 12,480 | py | Python | src/kafka_rest_client/client.py | bozzzzo/kafka-rest-client | ce3a46f18e57b4a920ebce7d8ad421741be669f4 | [
"Apache-2.0"
] | null | null | null | src/kafka_rest_client/client.py | bozzzzo/kafka-rest-client | ce3a46f18e57b4a920ebce7d8ad421741be669f4 | [
"Apache-2.0"
] | null | null | null | src/kafka_rest_client/client.py | bozzzzo/kafka-rest-client | ce3a46f18e57b4a920ebce7d8ad421741be669f4 | [
"Apache-2.0"
] | 1 | 2021-08-30T13:56:53.000Z | 2021-08-30T13:56:53.000Z | import importlib_metadata
import logging
from collections import namedtuple
__all__ = [
'KafkaRestClient', 'KafkaRestClientException',
'TopicPartition', 'KafkaMessage'
]
log = logging.getLogger(name="kafka-rest-client")
__version__ = importlib_metadata.version('kafka-rest-client')
USER_AGENT = f"kafka-rest-... | 37.253731 | 93 | 0.565865 | import requests
import urllib
import uuid
import importlib_metadata
import json
import base64
import logging
from collections import namedtuple, defaultdict, ChainMap
from typing import List
__all__ = [
'KafkaRestClient', 'KafkaRestClientException',
'TopicPartition', 'KafkaMessage'
]
log = logging.getLogger(... | 0 | 471 | 0 | 11,318 | 0 | 0 | 0 | -17 | 178 |
56af300e8f4226b5d4e58e02ea559825aed78b3b | 4,417 | py | Python | simulator/delay.py | mmosko/ccnx-beginendfragment-sim | 092d080f92ef0dbbc93d2e8cd66236cd66e8cf47 | [
"BSD-2-Clause"
] | null | null | null | simulator/delay.py | mmosko/ccnx-beginendfragment-sim | 092d080f92ef0dbbc93d2e8cd66236cd66e8cf47 | [
"BSD-2-Clause"
] | null | null | null | simulator/delay.py | mmosko/ccnx-beginendfragment-sim | 092d080f92ef0dbbc93d2e8cd66236cd66e8cf47 | [
"BSD-2-Clause"
] | 1 | 2019-04-01T18:36:29.000Z | 2019-04-01T18:36:29.000Z | #
# Copyright (c) 2016, Xerox Corporation (Xerox) and Palo Alto Research Center, Inc (PARC)
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the abo... | 38.408696 | 90 | 0.721304 | #
# Copyright (c) 2016, Xerox Corporation (Xerox) and Palo Alto Research Center, Inc (PARC)
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the abo... | 0 | 136 | 0 | 1,043 | 0 | 0 | 0 | -19 | 114 |
b213981a7fe2cee320079878f5d531a7068db054 | 1,427 | py | Python | core/internationalization.py | aaaimx/covid19-assistant-api | 48293d97991aa69fe9b01a5871be86e9c5e38057 | [
"MIT"
] | 1 | 2020-03-28T06:40:36.000Z | 2020-03-28T06:40:36.000Z | core/internationalization.py | aaaimx/covid19-assistant-api | 48293d97991aa69fe9b01a5871be86e9c5e38057 | [
"MIT"
] | 14 | 2020-03-24T20:59:53.000Z | 2021-12-13T20:36:13.000Z | core/internationalization.py | aaaimx/covid19-assistant-api | 48293d97991aa69fe9b01a5871be86e9c5e38057 | [
"MIT"
] | null | null | null |
# Internationalization
# https://docs.djangoproject.com/en/3.0/topics/i18n/
LANGUAGE_CODE = 'en-us'
TIME_ZONE = 'UTC'
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Configuracin de formatos de fechas
DATETIME_INPUT_FORMATS = (
'%Y-%m-%d %H:%M:%S', # '2006-10-25 14:30:59'
'%Y-%m-%d %H:%M:%S.%f', # '200... | 34.804878 | 59 | 0.389629 |
# Internationalization
# https://docs.djangoproject.com/en/3.0/topics/i18n/
LANGUAGE_CODE = 'en-us'
TIME_ZONE = 'UTC'
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Configuración de formatos de fechas
DATETIME_INPUT_FORMATS = (
'%Y-%m-%d %H:%M:%S', # '2006-10-25 14:30:59'
'%Y-%m-%d %H:%M:%S.%f', # '20... | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
703e82659ac9ad52df6beb31fc77492e3f62d5db | 3,633 | py | Python | split-bib.py | 2e0byo/bib | 9d6cd7fcf214894caa4831d948ac868b696b0a02 | [
"CC0-1.0"
] | null | null | null | split-bib.py | 2e0byo/bib | 9d6cd7fcf214894caa4831d948ac868b696b0a02 | [
"CC0-1.0"
] | null | null | null | split-bib.py | 2e0byo/bib | 9d6cd7fcf214894caa4831d948ac868b696b0a02 | [
"CC0-1.0"
] | null | null | null | #!/usr/bin/python
# from https://gist.github.com/martin-ueding/4007035
_c = Colorcodes()
outfs = {}
if __name__ == "__main__":
try:
main()
except KeyboardInterrupt:
print("Exiting safely")
for _, f in outfs.items():
f.close()
| 27.522727 | 82 | 0.561795 | #!/usr/bin/python
from argparse import ArgumentParser
from pathlib import Path
import subprocess
from getkey import getkey
from pymdownx import keys
# from https://gist.github.com/martin-ueding/4007035
class Colorcodes(object):
"""
Provides ANSI terminal color codes which are gathered via the ``tput``
uti... | 0 | 0 | 0 | 1,121 | 0 | 2,011 | 0 | 21 | 202 |
20a3c05f8f7dbd0b7468631dec757204a38c622f | 4,728 | py | Python | distributed/comm/addressing.py | met-office-lab/distributed | 46e31cadd55456bbd0b85a01f040d1eb33ee587f | [
"BSD-3-Clause"
] | null | null | null | distributed/comm/addressing.py | met-office-lab/distributed | 46e31cadd55456bbd0b85a01f040d1eb33ee587f | [
"BSD-3-Clause"
] | 1 | 2021-04-30T20:41:53.000Z | 2021-04-30T20:41:53.000Z | distributed/comm/addressing.py | met-office-lab/distributed | 46e31cadd55456bbd0b85a01f040d1eb33ee587f | [
"BSD-3-Clause"
] | 1 | 2018-07-06T03:48:08.000Z | 2018-07-06T03:48:08.000Z | from __future__ import print_function, division, absolute_import
import six
from ..config import config
from . import registry
DEFAULT_SCHEME = config.get('default-scheme', 'tcp')
def parse_address(addr, strict=False):
"""
Split address into its scheme and scheme-dependent location string.
>>> parse_... | 27.649123 | 78 | 0.619924 | from __future__ import print_function, division, absolute_import
import six
from ..config import config
from . import registry
DEFAULT_SCHEME = config.get('default-scheme', 'tcp')
def parse_address(addr, strict=False):
"""
Split address into its scheme and scheme-dependent location string.
>>> parse_... | 0 | 0 | 0 | 0 | 0 | 185 | 0 | 0 | 54 |
f26711de310e0a56e03746ce2226ae8ef1929490 | 27,085 | py | Python | pypeit/deprecated/flux_old.py | ykwang1/PypeIt | a96cff699f1284905ce7ef19d06a9027cd333c63 | [
"BSD-3-Clause"
] | 107 | 2018-08-06T07:07:20.000Z | 2022-02-28T14:33:42.000Z | pypeit/deprecated/flux_old.py | ykwang1/PypeIt | a96cff699f1284905ce7ef19d06a9027cd333c63 | [
"BSD-3-Clause"
] | 889 | 2018-07-26T12:14:33.000Z | 2022-03-18T22:49:42.000Z | pypeit/deprecated/flux_old.py | ykwang1/PypeIt | a96cff699f1284905ce7ef19d06a9027cd333c63 | [
"BSD-3-Clause"
] | 74 | 2018-09-25T17:03:07.000Z | 2022-03-10T23:59:24.000Z |
## the following massive function is deprecated
def generate_sensfunc_old(wave, counts, counts_ivar, airmass, exptime, spectrograph, telluric=False, star_type=None,
star_mag=None, ra=None, dec=None, std_file = None, BALM_MASK_WID=5., norder=4, nresln=None,debug=False):
""" Function to generat... | 45.444631 | 140 | 0.622226 |
## the following massive function is deprecated
def generate_sensfunc_old(wave, counts, counts_ivar, airmass, exptime, spectrograph, telluric=False, star_type=None,
star_mag=None, ra=None, dec=None, std_file = None, BALM_MASK_WID=5., norder=4, nresln=None,debug=False):
""" Function to generat... | 0 | 0 | 0 | 0 | 0 | 1,441 | 0 | 0 | 23 |
225bf9f25bf98ea2daf3a88251d26bd761a4c7de | 3,536 | py | Python | virtuso.py | Thanatoz-1/virtuoso | 777b8a526d08751ac93ae236356c035641652824 | [
"Apache-2.0"
] | null | null | null | virtuso.py | Thanatoz-1/virtuoso | 777b8a526d08751ac93ae236356c035641652824 | [
"Apache-2.0"
] | 2 | 2019-12-08T13:18:44.000Z | 2019-12-13T12:12:39.000Z | virtuso.py | Thanatoz-1/virtuoso | 777b8a526d08751ac93ae236356c035641652824 | [
"Apache-2.0"
] | null | null | null | from argparse import ArgumentParser
import os
import spacy
nlp = spacy.load('en_core_web_sm')
target = DataFetcher()
def ArgParser():
'''
This is the function to parse your arguments into a more understable form and
provide relavant help whenever needed.
The package usage are as follows:
p... | 30.747826 | 88 | 0.598982 | from argparse import ArgumentParser
import os
import re
from collections import defaultdict
import random
import spacy
nlp = spacy.load('en_core_web_sm')
class DataFetcher:
def __init__(self):
BASE = 'Data/'
self.tables = os.listdir(BASE)
self._data = defaultdict(lambda: [])
for f... | 0 | 0 | 0 | 467 | 0 | 854 | 0 | -6 | 135 |
0d79f028460ea1be0d7b0b3b212ae770f0507107 | 94 | py | Python | catcher_modules/__init__.py | Daniel-Han-Yang/catcher_modules | 2eff08d2c19719539f761a7cae0a48b69a3231db | [
"Apache-2.0"
] | 5 | 2019-01-09T14:15:25.000Z | 2020-09-11T12:18:43.000Z | catcher_modules/__init__.py | Daniel-Han-Yang/catcher_modules | 2eff08d2c19719539f761a7cae0a48b69a3231db | [
"Apache-2.0"
] | 44 | 2019-06-30T09:19:42.000Z | 2021-12-30T16:09:09.000Z | catcher_modules/__init__.py | Daniel-Han-Yang/catcher_modules | 2eff08d2c19719539f761a7cae0a48b69a3231db | [
"Apache-2.0"
] | 5 | 2019-09-01T09:49:05.000Z | 2021-09-12T06:00:54.000Z | APPNAME = 'catcher-modules'
APPAUTHOR = 'Valerii Tikhonov, Ekaterina Belova'
APPVSN = '6.0.0'
| 23.5 | 48 | 0.734043 | APPNAME = 'catcher-modules'
APPAUTHOR = 'Valerii Tikhonov, Ekaterina Belova'
APPVSN = '6.0.0'
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
588a6b0bc1e1871fc4e4ef910ec05c9b253e71b8 | 968 | py | Python | src/bxgateway/utils/interval_minimum.py | doubleukay/bxgateway | ac01fc9475c039cf4255576dd4ecd6bff6c48f69 | [
"MIT"
] | 21 | 2019-11-06T17:37:41.000Z | 2022-03-28T07:18:33.000Z | src/bxgateway/utils/interval_minimum.py | doubleukay/bxgateway | ac01fc9475c039cf4255576dd4ecd6bff6c48f69 | [
"MIT"
] | 4 | 2019-11-06T22:08:00.000Z | 2021-12-08T06:20:51.000Z | src/bxgateway/utils/interval_minimum.py | doubleukay/bxgateway | ac01fc9475c039cf4255576dd4ecd6bff6c48f69 | [
"MIT"
] | 10 | 2020-08-05T15:58:16.000Z | 2022-02-07T23:51:10.000Z | from bxutils import logging
logger = logging.get_logger(__name__)
| 30.25 | 79 | 0.72624 | from typing import Optional
from bxcommon.utils.alarm_queue import AlarmQueue
from bxutils import logging
logger = logging.get_logger(__name__)
class IntervalMinimum:
def __init__(self, interval_len_s: int, alarm_queue: AlarmQueue):
self.current_minimum: int = 0
self._interval_len_s = interval... | 0 | 0 | 0 | 798 | 0 | 0 | 0 | 34 | 68 |
c428d11f614a84c41c037c142536fd24d6772c42 | 145 | py | Python | AcademicDealerBackend/project_level_tests.py | Acciente717/AcademicDealerBackend | 8024725f88997fa430fa92e1caa28161ffbb06f6 | [
"MIT"
] | 5 | 2019-03-10T06:57:15.000Z | 2019-03-17T03:04:40.000Z | AcademicDealerBackend/project_level_tests.py | Acciente717/AcademicDealerBackend | 8024725f88997fa430fa92e1caa28161ffbb06f6 | [
"MIT"
] | 11 | 2019-05-14T15:13:48.000Z | 2019-05-31T15:31:33.000Z | AcademicDealerBackend/project_level_tests.py | Acciente717/AcademicDealerBackend | 8024725f88997fa430fa92e1caa28161ffbb06f6 | [
"MIT"
] | null | null | null | import sys
sys.path.append("./AcademicDealerBackend/users")
from tests.py import CoreFunctionalTest
CoreFunctionalTest().test_core_functions()
| 20.714286 | 48 | 0.827586 | import sys
sys.path.append("./AcademicDealerBackend/users")
from tests.py import CoreFunctionalTest
CoreFunctionalTest().test_core_functions()
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0d0a3891596f7bbd389105cdc17d75da9f6f2560 | 108 | py | Python | tasks/EPAM/python_course/foundation-python/l7/m7-18-other-tools.py | AleksNeStu/projects | 1a4c68dfbdcb77228f0f3617e58fd18fcb1f5dbb | [
"Apache-2.0"
] | 2 | 2022-01-19T18:01:35.000Z | 2022-02-06T06:54:38.000Z | tasks/EPAM/python_course/foundation-python/l7/m7-18-other-tools.py | AleksNeStu/projects | 1a4c68dfbdcb77228f0f3617e58fd18fcb1f5dbb | [
"Apache-2.0"
] | null | null | null | tasks/EPAM/python_course/foundation-python/l7/m7-18-other-tools.py | AleksNeStu/projects | 1a4c68dfbdcb77228f0f3617e58fd18fcb1f5dbb | [
"Apache-2.0"
] | null | null | null | # RunSnakeRun
# https://pypi.python.org/pypi/RunSnakeRun
# http://www.vrplumber.com/programming/runsnakerun/ | 36 | 51 | 0.787037 | # RunSnakeRun
# https://pypi.python.org/pypi/RunSnakeRun
# http://www.vrplumber.com/programming/runsnakerun/ | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d7e2763dfb95ef81aa2a40092387dd5fb62e4526 | 2,854 | py | Python | dashboards/soap_explorer/soap_cluster.py | jmmshn/mp_dash_boards | 19f893fb50d88368068e9e6b9518bd2041db41e9 | [
"MIT"
] | null | null | null | dashboards/soap_explorer/soap_cluster.py | jmmshn/mp_dash_boards | 19f893fb50d88368068e9e6b9518bd2041db41e9 | [
"MIT"
] | null | null | null | dashboards/soap_explorer/soap_cluster.py | jmmshn/mp_dash_boards | 19f893fb50d88368068e9e6b9518bd2041db41e9 | [
"MIT"
] | null | null | null | # %%
from typing import List
from monty.serialization import loadfn
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash_mp_components import Simple3DScene
import os
import pandas as pd
import plotly.express as px
dir_path = os.path.dirname(os.path.realpath(__file__))
DUMMY_SPEC... | 28.828283 | 105 | 0.653819 | # %%
from typing import List
from monty.serialization import loadfn
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
from dash_mp_components import Simple3DScene
from pymatgen import Site
import crystal_toolkit # noqa: F401
from pymatgen.ana... | 0 | 536 | 0 | 0 | 0 | 265 | 0 | 79 | 193 |
0a404d9cd9a4229d8ab11fccf16b502660913ff8 | 954 | py | Python | conftest.py | kriti-d/snyker | 33d256a93428de6eb27cb30b480ce3978551bada | [
"Apache-2.0"
] | 1 | 2021-06-30T02:41:41.000Z | 2021-06-30T02:41:41.000Z | conftest.py | kriti-d/snyker | 33d256a93428de6eb27cb30b480ce3978551bada | [
"Apache-2.0"
] | 1 | 2020-12-04T12:18:48.000Z | 2020-12-04T12:18:48.000Z | conftest.py | kriti-d/snyker | 33d256a93428de6eb27cb30b480ce3978551bada | [
"Apache-2.0"
] | 3 | 2021-01-28T14:47:14.000Z | 2021-10-17T17:08:10.000Z | """
Configuration for pytest fixtures
"""
| 26.5 | 81 | 0.719078 | """
Configuration for pytest fixtures
"""
import boto3 # type: ignore
import pytest # type: ignore
from chalice import Chalice # type: ignore
from moto import mock_ssm # type: ignore
@pytest.fixture
def app() -> Chalice:
"""Return the application for testing"""
from app import app as chalice_app # pylin... | 0 | 694 | 0 | 0 | 0 | 0 | 0 | -7 | 222 |
f905cd9d13b659e019e1b8c2279b949410a81e30 | 33 | py | Python | foreshadow/tests/test_optimizers/test_param_distribution.py | adithyabsk/foreshadow | ca2e927c396ae0d61923b287d6e32e142f3ba96f | [
"Apache-2.0"
] | 25 | 2018-07-26T17:30:31.000Z | 2021-02-23T22:54:01.000Z | foreshadow/tests/test_optimizers/test_param_distribution.py | adithyabsk/foreshadow | ca2e927c396ae0d61923b287d6e32e142f3ba96f | [
"Apache-2.0"
] | 150 | 2018-11-02T18:09:12.000Z | 2020-05-15T01:01:35.000Z | foreshadow/tests/test_optimizers/test_param_distribution.py | adithyabsk/foreshadow | ca2e927c396ae0d61923b287d6e32e142f3ba96f | [
"Apache-2.0"
] | 1 | 2019-02-20T22:24:00.000Z | 2019-02-20T22:24:00.000Z | """Test param_distribution.py"""
| 16.5 | 32 | 0.727273 | """Test param_distribution.py"""
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4072a3fa19318b9de75a69e7c0ce5bed60bfb034 | 18,031 | py | Python | dexbot/storage.py | bitProfessor/DEXBot | 5d692fbf1acffeec46a82a12474b8a123e4c6370 | [
"MIT"
] | 1 | 2021-04-22T09:18:55.000Z | 2021-04-22T09:18:55.000Z | dexbot/storage.py | bitProfessor/DEXBot | 5d692fbf1acffeec46a82a12474b8a123e4c6370 | [
"MIT"
] | null | null | null | dexbot/storage.py | bitProfessor/DEXBot | 5d692fbf1acffeec46a82a12474b8a123e4c6370 | [
"MIT"
] | 2 | 2021-02-13T10:58:33.000Z | 2022-03-04T14:01:58.000Z | import os
import os.path
import alembic
from appdirs import user_data_dir
from . import helper
from dexbot import APP_NAME, AUTHOR
from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()
# For dexbot.sqlite file
storageDatabase = "dexbot.sqlite"
# Derive sqlite file directory
data_... | 35.216797 | 120 | 0.638179 | import os
import os.path
import sys
import json
import threading
import queue
import uuid
import alembic
import alembic.config
from appdirs import user_data_dir
from . import helper
from dexbot import APP_NAME, AUTHOR
from sqlalchemy import create_engine, Column, String, Integer, Float, Boolean
from sqlalchemy.ext.d... | 0 | 1,850 | 0 | 15,344 | 0 | 0 | 0 | 40 | 292 |
d9dbe1564fc700c61b7507bb9b58065a2f63e0e5 | 14,490 | py | Python | povary/apps/master_class/migrations/0009_auto__add_field_masterclass_visits_num__add_field_categorymc_visits_nu.py | TorinAsakura/cooking | cf0c78f613fa9ce0fcd4ec7a397ab880d9dd631a | [
"BSD-3-Clause"
] | null | null | null | povary/apps/master_class/migrations/0009_auto__add_field_masterclass_visits_num__add_field_categorymc_visits_nu.py | TorinAsakura/cooking | cf0c78f613fa9ce0fcd4ec7a397ab880d9dd631a | [
"BSD-3-Clause"
] | null | null | null | povary/apps/master_class/migrations/0009_auto__add_field_masterclass_visits_num__add_field_categorymc_visits_nu.py | TorinAsakura/cooking | cf0c78f613fa9ce0fcd4ec7a397ab880d9dd631a | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
| 71.732673 | 182 | 0.560663 | # -*- coding: utf-8 -*-
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding field 'MasterClass.visits_num'
db.add_column('master_class_masterclass', 'visits_num',
... | 0 | 0 | 0 | 14,337 | 0 | 0 | 0 | 18 | 111 |
f16671322873b3ab7c7a3a7ce2fce8aa55512aba | 1,995 | py | Python | 150-Challenges/Challenges 88 - 95/Challenge 94.py | DGrifferty/Python | d725301664db2cbcfd5c4f5974745b4d81c8e28a | [
"Apache-2.0"
] | null | null | null | 150-Challenges/Challenges 88 - 95/Challenge 94.py | DGrifferty/Python | d725301664db2cbcfd5c4f5974745b4d81c8e28a | [
"Apache-2.0"
] | null | null | null | 150-Challenges/Challenges 88 - 95/Challenge 94.py | DGrifferty/Python | d725301664db2cbcfd5c4f5974745b4d81c8e28a | [
"Apache-2.0"
] | null | null | null | # 094
# Display an array of five numbers. Ask the user to select one
# of the numbers. Once they have selected a number, display the
# position of that item in the array. If they enter something that
# is not in the array, ask them to try again until they select
# a relevant item.
import array as ar
import numpy as np... | 23.197674 | 70 | 0.601504 | # 094
# Display an array of five numbers. Ask the user to select one
# of the numbers. Once they have selected a number, display the
# position of that item in the array. If they enter something that
# is not in the array, ask them to try again until they select
# a relevant item.
import array as ar
import numpy as np... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8a1288e18e7a9b82a827aad422ef1aa964f3fc0c | 334 | py | Python | PycharmProjects/pythonteste/ex017.py | caioalexleme/Curso_Python | 6394f60689531c7431765538f1b699aabbf4acb2 | [
"MIT"
] | 3 | 2021-07-09T20:41:47.000Z | 2021-11-17T10:25:01.000Z | PycharmProjects/pythonteste/ex017.py | caioalexleme/Curso_Python | 6394f60689531c7431765538f1b699aabbf4acb2 | [
"MIT"
] | null | null | null | PycharmProjects/pythonteste/ex017.py | caioalexleme/Curso_Python | 6394f60689531c7431765538f1b699aabbf4acb2 | [
"MIT"
] | 1 | 2021-09-09T20:24:07.000Z | 2021-09-09T20:24:07.000Z | import math
co = float(input('Comprimento do cateto oposto: '))
ca = float(input('Comprimento do cateto adjacente: '))
hi = math.hypot(co, ca)
print('A hipotenusa vai medir {:.2f}'.format(hi))
'''hi = (co ** 2 + ca ** 2) **(1/2)
print('A hipotenusa vai medir {:.2f}'.format(hi))''' '''Usando matematicamente sem precisa... | 41.75 | 104 | 0.658683 | import math
co = float(input('Comprimento do cateto oposto: '))
ca = float(input('Comprimento do cateto adjacente: '))
hi = math.hypot(co, ca)
print('A hipotenusa vai medir {:.2f}'.format(hi))
'''hi = (co ** 2 + ca ** 2) **(1/2)
print('A hipotenusa vai medir {:.2f}'.format(hi))''' '''Usando matematicamente sem precisa... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
cceeb312e1e0b4d346b44ac72c5a6f4d2bafbd85 | 9,439 | py | Python | monasca_notification/plugins/jira_notifier.py | openstack/monasca-notification | 975f46d226e479180c6499fe34073225aeadefdb | [
"Apache-2.0"
] | 25 | 2015-10-18T02:54:54.000Z | 2020-04-16T12:05:27.000Z | monasca_notification/plugins/jira_notifier.py | openstack/monasca-notification | 975f46d226e479180c6499fe34073225aeadefdb | [
"Apache-2.0"
] | 1 | 2020-12-05T06:18:12.000Z | 2020-12-05T06:18:14.000Z | monasca_notification/plugins/jira_notifier.py | openstack/monasca-notification | 975f46d226e479180c6499fe34073225aeadefdb | [
"Apache-2.0"
] | 14 | 2016-01-11T08:58:56.000Z | 2021-11-19T09:11:19.000Z | # (C) Copyright 2016 Hewlett Packard Enterprise Development Company LP
# Copyright 2017 Fujitsu LIMITED
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/L... | 38.369919 | 97 | 0.637568 | # (C) Copyright 2016 Hewlett Packard Enterprise Development Company LP
# Copyright 2017 Fujitsu LIMITED
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/L... | 0 | 228 | 0 | 6,798 | 0 | 180 | 0 | 49 | 225 |
f445224ff812a87f09a566ea2f913fa27571701a | 3,889 | py | Python | vectorhub/encoders/text/torch_transformers/legal_bert.py | NanaAkwasiAbayieBoateng/vectorhub | 265933521cf0a3113a47182a30b0037bf163584b | [
"Apache-2.0"
] | 1 | 2020-11-04T16:02:39.000Z | 2020-11-04T16:02:39.000Z | vectorhub/encoders/text/torch_transformers/legal_bert.py | NanaAkwasiAbayieBoateng/vectorhub | 265933521cf0a3113a47182a30b0037bf163584b | [
"Apache-2.0"
] | null | null | null | vectorhub/encoders/text/torch_transformers/legal_bert.py | NanaAkwasiAbayieBoateng/vectorhub | 265933521cf0a3113a47182a30b0037bf163584b | [
"Apache-2.0"
] | null | null | null | from ....doc_utils import ModelDefinition
from ....models_dict import MODEL_REQUIREMENTS
from datetime import date
if is_all_dependency_installed(MODEL_REQUIREMENTS['encoders-text-torch-transformers-auto']):
LegalBertModelDefinition = ModelDefinition(
model_id="text/legal-bert",
model_name="Legal Bert",
... | 54.774648 | 1,034 | 0.717151 | from typing import List, Union
from ..base import BaseText2Vec
from ....base import catch_vector_errors
from ....doc_utils import ModelDefinition
from ....import_utils import *
from ....models_dict import MODEL_REQUIREMENTS
from datetime import date
if is_all_dependency_installed(MODEL_REQUIREMENTS['encoders-text-torch... | 0 | 1,411 | 0 | 337 | 0 | 0 | 0 | 66 | 163 |
6bfaa00fe949d7084b0d4ac71e333e1f7a72d58c | 3,365 | py | Python | tests/storage/test_keys.py | skalarproduktraum/synapse | c831748f4d243d74e9a3fd2042bc2b35cc30f961 | [
"Apache-2.0"
] | null | null | null | tests/storage/test_keys.py | skalarproduktraum/synapse | c831748f4d243d74e9a3fd2042bc2b35cc30f961 | [
"Apache-2.0"
] | null | null | null | tests/storage/test_keys.py | skalarproduktraum/synapse | c831748f4d243d74e9a3fd2042bc2b35cc30f961 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2017 Vector Creations Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 36.576087 | 82 | 0.652006 | # -*- coding: utf-8 -*-
# Copyright 2017 Vector Creations Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 0 | 0 | 0 | 2,401 | 0 | 0 | 0 | 22 | 69 |
897644b4e3ff887ea94b2e372e01f943dd13acdc | 12,861 | py | Python | image/__init__.py | conducto/conducto | b480780905f5a25e8c803b60ca7cdf6976ce5ef6 | [
"Apache-2.0"
] | 25 | 2020-05-07T22:51:11.000Z | 2021-11-17T16:14:42.000Z | image/__init__.py | conducto/conducto | b480780905f5a25e8c803b60ca7cdf6976ce5ef6 | [
"Apache-2.0"
] | 3 | 2020-04-21T06:38:02.000Z | 2020-05-31T01:57:19.000Z | image/__init__.py | conducto/conducto | b480780905f5a25e8c803b60ca7cdf6976ce5ef6 | [
"Apache-2.0"
] | 2 | 2020-05-14T01:47:32.000Z | 2020-06-03T21:58:12.000Z | import contextlib
import os
import sys
import traceback
from . import names
from conducto.shared import constants
CONST_EE = constants.ExecutionEnv
if sys.version_info >= (3, 7):
asynccontextmanager = contextlib.asynccontextmanager
else:
from conducto.shared import async_backport
asynccontextmanager = ... | 34.94837 | 109 | 0.651816 | import contextlib
import concurrent.futures
import os
import sys
import traceback
import typing
import itertools
from conducto.shared import (
async_utils,
client_utils,
types as t,
log,
)
import conducto
from . import dockerfile as dockerfile_mod, names
from conducto.shared import constants, imagepa... | 0 | 1,351 | 0 | 9,869 | 0 | 0 | 0 | 94 | 179 |
21f53f03707cdfeaf7be966e79c22e21d805b3f7 | 710 | py | Python | src/python/doufo/qlambda.py | Hong-Xiang/doufo | 3d375fef30670597768a6eef809b75b4b1b5a3fd | [
"Apache-2.0"
] | 3 | 2018-08-05T07:16:34.000Z | 2018-08-10T05:28:24.000Z | src/python/doufo/qlambda.py | tech-pi/doufo | 3d375fef30670597768a6eef809b75b4b1b5a3fd | [
"Apache-2.0"
] | 10 | 2018-09-16T15:44:19.000Z | 2018-10-06T10:39:59.000Z | src/python/doufo/qlambda.py | tech-pi/doufo | 3d375fef30670597768a6eef809b75b4b1b5a3fd | [
"Apache-2.0"
] | 1 | 2018-08-04T08:13:50.000Z | 2018-08-04T08:13:50.000Z | """
Quick lambda creator, useful for use in fmap, filter, etc.
e.g. List([1,2]).fmap(x + 1)
"""
from doufo import identity
__all__ = ['QuickLambda', 'x']
x = QuickLambda(identity)
| 22.903226 | 76 | 0.669014 | """
Quick lambda creator, useful for use in fmap, filter, etc.
e.g. List([1,2]).fmap(x + 1)
"""
from doufo import WrappedFunction, identity, Functor, FunctorArithmeticMixin
import operator
__all__ = ['QuickLambda', 'x']
class QuickLambda(WrappedFunction, FunctorArithmeticMixin):
"""
QuickLambda constructor.... | 0 | 0 | 0 | 436 | 0 | 0 | 0 | 44 | 45 |
956e8f44b682bac08ca006ab5acb457d983ced03 | 7,849 | py | Python | workbench/server/plugin_manager.py | Ayub-Khan/workbench | 710232756dd717f734253315e3d0b33c9628dafb | [
"MIT"
] | 61 | 2015-01-04T01:23:49.000Z | 2021-06-22T14:41:10.000Z | workbench/server/plugin_manager.py | Ayub-Khan/workbench | 710232756dd717f734253315e3d0b33c9628dafb | [
"MIT"
] | 3 | 2015-01-02T23:26:59.000Z | 2015-01-03T19:28:36.000Z | workbench/server/plugin_manager.py | Ayub-Khan/workbench | 710232756dd717f734253315e3d0b33c9628dafb | [
"MIT"
] | 17 | 2015-08-25T23:57:22.000Z | 2020-05-30T02:36:05.000Z | """A simple plugin manager. Rolling my own for three reasons:
1) Environmental scan did not give me quite what I wanted.
2) The super simple examples didn't support automatic/dynamic loading.
3) I kinda wanted to understand the process :)
"""
import os, sys
from datetime import datetime
import dir_watcher
imp... | 35.515837 | 108 | 0.600459 | """A simple plugin manager. Rolling my own for three reasons:
1) Environmental scan did not give me quite what I wanted.
2) The super simple examples didn't support automatic/dynamic loading.
3) I kinda wanted to understand the process :)
"""
import os, sys
from datetime import datetime
import dir_watcher
imp... | 0 | 0 | 0 | 6,858 | 0 | 0 | 0 | 0 | 23 |
fc73e92f597f35947bedf2470fc9fcc7c500e873 | 5,492 | py | Python | DeviceAPI/MagnumThermostat.py | ajfar-bem/wisebldg | 0cb8ef7c5984cbb5cc86e40780fdf4e14e5bda05 | [
"Unlicense"
] | null | null | null | DeviceAPI/MagnumThermostat.py | ajfar-bem/wisebldg | 0cb8ef7c5984cbb5cc86e40780fdf4e14e5bda05 | [
"Unlicense"
] | null | null | null | DeviceAPI/MagnumThermostat.py | ajfar-bem/wisebldg | 0cb8ef7c5984cbb5cc86e40780fdf4e14e5bda05 | [
"Unlicense"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import division
'''
Copyright 2014 by Virginia Polytechnic Institute and State University
All rights reserved
Virginia Polytechnic Institute and State University (Virginia Tech) owns the copyright for the BEMOSS software and its
associated documentation (Software) and retains r... | 54.92 | 206 | 0.734523 | # -*- coding: utf-8 -*-
from __future__ import division
'''
Copyright © 2014 by Virginia Polytechnic Institute and State University
All rights reserved
Virginia Polytechnic Institute and State University (Virginia Tech) owns the copyright for the BEMOSS software and its
associated documentation (“Software”) and retain... | 11 | 0 | 0 | 2,624 | 0 | 0 | 0 | 69 | 68 |
8f0e40e1e9ad26888f88397edb734ee26570185f | 1,337 | py | Python | profiles/migrations/0004_auto_20180322_2323.py | joatuapp/joatu-django | 5626d03ba89c55650ff5bff2e706ca0883ae3b9c | [
"MIT"
] | 10 | 2018-05-13T18:01:57.000Z | 2018-12-23T17:11:14.000Z | profiles/migrations/0004_auto_20180322_2323.py | moileretour/joatu | 9d18cb58b4280235688e269be6fd2d34b77ccead | [
"MIT"
] | 88 | 2018-05-04T15:33:46.000Z | 2022-03-08T21:09:21.000Z | profiles/migrations/0004_auto_20180322_2323.py | joatuapp/joatu-django | 5626d03ba89c55650ff5bff2e706ca0883ae3b9c | [
"MIT"
] | 7 | 2018-05-08T16:05:06.000Z | 2018-09-13T05:49:05.000Z | # Generated by Django 2.0.3 on 2018-03-23 03:23
| 29.065217 | 118 | 0.579656 | # Generated by Django 2.0.3 on 2018-03-23 03:23
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('profiles', '0003_auto_20180322_2257'),
]
operations = [
migrations.RemoveField(
model_name='pro... | 0 | 0 | 0 | 1,190 | 0 | 0 | 0 | 30 | 68 |
1e89d3726c6c30924f01c404b413fb86e1e9b799 | 1,370 | py | Python | chapter7/stylegan2_pytorch/mapping_network.py | tms-byte/gan_sample | 1ff723cf37af902b400dbb68777a52e6e3dfcc89 | [
"MIT"
] | 57 | 2021-02-11T12:25:30.000Z | 2022-03-16T11:47:21.000Z | chapter7/stylegan2_pytorch/mapping_network.py | tms-byte/gan_sample | 1ff723cf37af902b400dbb68777a52e6e3dfcc89 | [
"MIT"
] | 8 | 2021-02-22T01:38:36.000Z | 2021-06-29T15:55:04.000Z | chapter7/stylegan2_pytorch/mapping_network.py | tms-byte/gan_sample | 1ff723cf37af902b400dbb68777a52e6e3dfcc89 | [
"MIT"
] | 11 | 2021-02-11T14:49:08.000Z | 2022-01-26T04:18:11.000Z | import torch.nn as nn
| 35.128205 | 112 | 0.669343 | import numpy as np
import torch.nn as nn
import torch
from dense_layer import DenseLayer
from fused_bias_activation import FusedBiasActivation
from base_layer import BaseLayer
from tensorboard_logger import TensorboardLogger
class MappingNetwork(BaseLayer):
def __init__(self, dlaten_size, opt):
super(Mapp... | 0 | 0 | 0 | 1,121 | 0 | 0 | 0 | 71 | 156 |
9ffd4b2fe2dd2b154da114d62a59314623da1cc0 | 1,063 | py | Python | src/genie/libs/parser/iosxr/tests/ShowMplsLdpDiscovery/cli/equal/golden_output_2_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/iosxr/tests/ShowMplsLdpDiscovery/cli/equal/golden_output_2_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/iosxr/tests/ShowMplsLdpDiscovery/cli/equal/golden_output_2_expected.py | balmasea/genieparser | d1e71a96dfb081e0a8591707b9d4872decd5d9d3 | [
"Apache-2.0"
] | 309 | 2019-01-16T20:21:07.000Z | 2022-03-30T12:56:41.000Z |
expected_output = {
'vrf': {
'default': {
'local_ldp_identifier': {
'10.52.31.247:0': {
'discovery_sources': {
'interfaces': {
'TenGigE0/0/0/5.2097': {
'ldp_id': {
... | 35.433333 | 82 | 0.238946 |
expected_output = {
'vrf': {
'default': {
'local_ldp_identifier': {
'10.52.31.247:0': {
'discovery_sources': {
'interfaces': {
'TenGigE0/0/0/5.2097': {
'ldp_id': {
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
793d35dc4008ac42c5b5a7d8858e3efef0efcc65 | 2,887 | py | Python | cad_tickers/sedar/tsx.py | FriendlyUser/cad_tickers | 2f99a4494498419d8decf41fb0fbc77722dbc712 | [
"MIT"
] | 2 | 2022-03-16T02:19:25.000Z | 2022-03-16T02:22:39.000Z | cad_tickers/sedar/tsx.py | FriendlyUser/cad_tickers | 2f99a4494498419d8decf41fb0fbc77722dbc712 | [
"MIT"
] | 57 | 2020-07-30T15:43:43.000Z | 2022-03-28T02:04:13.000Z | cad_tickers/sedar/tsx.py | FriendlyUser/cad_tickers | 2f99a4494498419d8decf41fb0fbc77722dbc712 | [
"MIT"
] | null | null | null | import requests
import json
from datetime import datetime
from cad_tickers.exchanges.tsx.gql_data import GQL
from typing import Union
def get_ticker_filings(
symbol: str,
fromDate: str = datetime.today().replace(day=1).strftime("%Y-%m-%d"),
toDate: str = datetime.today().strftime("%Y-%m-%d"),
limit: i... | 28.584158 | 74 | 0.5646 | import requests
import json
from datetime import datetime
from cad_tickers.exchanges.tsx.gql_data import GQL
from typing import Union
def get_ticker_filings(
symbol: str,
fromDate: str = datetime.today().replace(day=1).strftime("%Y-%m-%d"),
toDate: str = datetime.today().strftime("%Y-%m-%d"),
limit: i... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c5876f0f0b87f80844430381e47a218150e0e357 | 1,012 | py | Python | mentor_helper/questions/models.py | idisblueflash/mentor-helper | 93265a654a0752a21cf87f5569baae02ed03d31e | [
"MIT"
] | null | null | null | mentor_helper/questions/models.py | idisblueflash/mentor-helper | 93265a654a0752a21cf87f5569baae02ed03d31e | [
"MIT"
] | null | null | null | mentor_helper/questions/models.py | idisblueflash/mentor-helper | 93265a654a0752a21cf87f5569baae02ed03d31e | [
"MIT"
] | null | null | null |
# Create your models here.
| 28.914286 | 70 | 0.725296 | from django.db import models
# Create your models here.
class SkillPoint(models.Model):
name = models.CharField(max_length=200)
def __str__(self):
return self.name
class Category(models.Model):
name = models.CharField(max_length=200)
def __str__(self):
return self.name
class Questio... | 0 | 0 | 0 | 864 | 0 | 0 | 0 | 7 | 113 |
783b2e782983edf1245746b1a07c08b6bc41a100 | 5,415 | py | Python | rogue/challenge/challenge.py | cypher-me/HAS-Qualifier-Challenges | bb795303716155dad4a930880a58fecb5d9b50c5 | [
"MIT"
] | 75 | 2020-07-20T20:54:00.000Z | 2022-03-09T09:18:37.000Z | rogue/challenge/challenge.py | cypher-me/HAS-Qualifier-Challenges | bb795303716155dad4a930880a58fecb5d9b50c5 | [
"MIT"
] | 3 | 2020-09-13T00:46:49.000Z | 2021-07-06T16:18:22.000Z | rogue/challenge/challenge.py | cypher-me/HAS-Qualifier-Challenges | bb795303716155dad4a930880a58fecb5d9b50c5 | [
"MIT"
] | 14 | 2020-07-22T16:34:51.000Z | 2021-09-13T12:19:59.000Z | import os, sys
import numpy as np
import time
from skyfield.api import load
from timeout import TimeoutError
timeout_time = int(os.getenv("TIMEOUT",60))
speed_of_light_km_ns = 0.000299792
au_to_km = 149598000
geo_orbit_km = 42164
sealevel_km = 6371
num_sats = int(os.getenv("NUM_SATS", 8))
minA = np.deg2rad(15)
ma... | 27.211055 | 83 | 0.570452 | import os, sys
import numpy as np
import time
import math
from scipy.spatial.transform import Rotation as R
from skyfield.api import load,Topos
from skyfield.earthlib import terra, reverse_terra
from timeout import timeout, TimeoutError
timeout_time = int(os.getenv("TIMEOUT",60))
speed_of_light_km_ns = 0.000299792
a... | 0 | 910 | 0 | 0 | 0 | 2,114 | 0 | 62 | 272 |
38fb95037a513aa50d7261f6b8818c317e7f9a8d | 7,217 | py | Python | j5/backends/hardware/sr/v4/power_board.py | udhayacommits/j5 | 2b516af67ccf5aa31e20489d479c48075e737f4d | [
"MIT"
] | null | null | null | j5/backends/hardware/sr/v4/power_board.py | udhayacommits/j5 | 2b516af67ccf5aa31e20489d479c48075e737f4d | [
"MIT"
] | null | null | null | j5/backends/hardware/sr/v4/power_board.py | udhayacommits/j5 | 2b516af67ccf5aa31e20489d479c48075e737f4d | [
"MIT"
] | null | null | null | """Hardware Backend for the SR V4 power board."""
from typing import Mapping
from j5.backends.hardware.j5.raw_usb import (ReadCommand, WriteCommand)
from j5.boards.sr.v4.power_board import PowerOutputPosition
# The names and codes of these commands match the definitions in usb.h in the firmware
# source.
CMD_READ_OUTP... | 38.185185 | 90 | 0.640987 | """Hardware Backend for the SR V4 power board."""
import struct
from datetime import timedelta
from time import sleep
from typing import Callable, Dict, Mapping, Set, cast
import usb
from j5.backends.hardware.env import NotSupportedByHardwareError
from j5.backends.hardware.j5.raw_usb import (
RawUSBHardwareBacke... | 0 | 1,024 | 0 | 4,926 | 0 | 0 | 0 | 260 | 180 |
bf27a951fe891c22d59e5ab0f3da52fcd0d0ceca | 2,163 | py | Python | intreehooks.py | hroncok/intreehooks | 675b0a9039abe61839c267edcc440ee13331aad3 | [
"MIT"
] | 5 | 2018-08-30T19:04:25.000Z | 2020-05-01T18:51:37.000Z | intreehooks.py | hroncok/intreehooks | 675b0a9039abe61839c267edcc440ee13331aad3 | [
"MIT"
] | 2 | 2019-12-14T11:33:51.000Z | 2020-06-04T15:40:48.000Z | intreehooks.py | hroncok/intreehooks | 675b0a9039abe61839c267edcc440ee13331aad3 | [
"MIT"
] | 1 | 2018-08-30T19:04:29.000Z | 2018-08-30T19:04:29.000Z | """Load a PEP 517 backend from inside the source tree.
"""
import os
__version__ = '1.0'
loader = HooksLoader(os.path.realpath(os.getcwd()))
| 32.283582 | 75 | 0.678225 | """Load a PEP 517 backend from inside the source tree.
"""
from contextlib import contextmanager
import importlib
import os
import pytoml
import sys
__version__ = '1.0'
@contextmanager
def prepended_to_syspath(directory):
sys.path.insert(0, directory)
try:
yield
finally:
sys.path.pop(0)
c... | 0 | 534 | 0 | 1,360 | 0 | 0 | 0 | -8 | 134 |
3aa0f9b4ac917875eedf179635675351921cfa88 | 844 | py | Python | examples/nlp/bert_glue_pytorch/constants.py | gh-determined-ai/determined | 9a1ab33a3a356b69681b3351629fef4ab98ddb56 | [
"Apache-2.0"
] | 1,729 | 2020-04-27T17:36:40.000Z | 2022-03-31T05:48:39.000Z | examples/nlp/bert_glue_pytorch/constants.py | ChrisW09/determined | 5c37bfe9cfcc69174ba29a3f1a115c3e9e3632e0 | [
"Apache-2.0"
] | 1,940 | 2020-04-27T17:34:14.000Z | 2022-03-31T23:02:28.000Z | examples/nlp/bert_glue_pytorch/constants.py | ChrisW09/determined | 5c37bfe9cfcc69174ba29a3f1a115c3e9e3632e0 | [
"Apache-2.0"
] | 214 | 2020-04-27T19:57:28.000Z | 2022-03-29T08:17:16.000Z | from transformers import (BertConfig, BertForSequenceClassification, BertTokenizer, DistilBertConfig, DistilBertForSequenceClassification, DistilBertTokenizer, RobertaConfig, RobertaForSequenceClassification, RobertaTokenizer, XLMConfig, XLMForSequenceClassification, XLMTokenizer, XLNetConfig, XLNetForSequenceClassific... | 31.259259 | 95 | 0.774882 | from transformers import (
BertConfig,
BertForSequenceClassification,
BertTokenizer,
DistilBertConfig,
DistilBertForSequenceClassification,
DistilBertTokenizer,
RobertaConfig,
RobertaForSequenceClassification,
RobertaTokenizer,
XLMConfig,
XLMForSequenceClassification,
XLM... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 63 | 0 |
a8e4d20c8ab80f5b7903457929ef9c281fbe49b2 | 95 | py | Python | flashback/caching/__init__.py | PaulRenvoise/flashback | f9a16f4b0cb12a2180206c7b95d9eb8fb256381d | [
"MIT"
] | 3 | 2021-06-08T11:40:59.000Z | 2022-03-31T16:22:56.000Z | flashback/caching/__init__.py | PaulRenvoise/flashback | f9a16f4b0cb12a2180206c7b95d9eb8fb256381d | [
"MIT"
] | 28 | 2020-04-28T22:36:14.000Z | 2021-06-06T20:32:00.000Z | flashback/caching/__init__.py | PaulRenvoise/flashback | f9a16f4b0cb12a2180206c7b95d9eb8fb256381d | [
"MIT"
] | null | null | null | from .cache import Cache
from .cached import cached
__all__ = (
"Cache",
"cached",
)
| 10.555556 | 26 | 0.631579 | from .cache import Cache
from .cached import cached
__all__ = (
"Cache",
"cached",
)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
aa43158a1a5030a9fbe2caa413e11432a7cc303b | 1,708 | py | Python | c/lic_eliminar.py | yo-alan/personal | 2f711a9f5dd5a16fbb3ab2a6f9b89069894ce40c | [
"MIT"
] | null | null | null | c/lic_eliminar.py | yo-alan/personal | 2f711a9f5dd5a16fbb3ab2a6f9b89069894ce40c | [
"MIT"
] | 10 | 2015-01-12T12:57:09.000Z | 2015-03-30T13:39:23.000Z | c/lic_eliminar.py | yo-alan/personal | 2f711a9f5dd5a16fbb3ab2a6f9b89069894ce40c | [
"MIT"
] | null | null | null | # coding=utf-8
| 21.897436 | 103 | 0.697307 | # coding=utf-8
from PyQt4.QtGui import *
from PyQt4.QtCore import *
from c.error import Error
from v.ui_lic_eliminar import Ui_Lic_Eliminar
class Lic_Eliminar(QMessageBox):
l = None
error = None
def __init__(self, principal):
QDialog.__init__(self, principal)
self.ui = Ui_Lic_Eliminar()
self.ui.setupUi(s... | 6 | 0 | 0 | 1,538 | 0 | 0 | 0 | 37 | 112 |
7dd9bcfe92839d70d4b8933849b2c5516e4aa2a5 | 882 | py | Python | source/_static/code/linear_models/tsh_hg.py | tuttugu-ryo/lecture-source-py | 9ce84044c2cc421775ea63a004556d7ae3b4e504 | [
"BSD-3-Clause"
] | null | null | null | source/_static/code/linear_models/tsh_hg.py | tuttugu-ryo/lecture-source-py | 9ce84044c2cc421775ea63a004556d7ae3b4e504 | [
"BSD-3-Clause"
] | null | null | null | source/_static/code/linear_models/tsh_hg.py | tuttugu-ryo/lecture-source-py | 9ce84044c2cc421775ea63a004556d7ae3b4e504 | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import norm
from quantecon import LinearStateSpace
phi_1, phi_2, phi_3, phi_4 = 0.5, -0.2, 0, 0.5
sigma = 0.1
A = [[phi_1, phi_2, phi_3, phi_4],
[1, 0, 0, 0],
[0, 1, 0, 0],
[0, 0, 1, 0]]
C = [[sigma]... | 23.837838 | 75 | 0.608844 | import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import norm
from quantecon import LinearStateSpace
phi_1, phi_2, phi_3, phi_4 = 0.5, -0.2, 0, 0.5
sigma = 0.1
A = [[phi_1, phi_2, phi_3, phi_4],
[1, 0, 0, 0],
[0, 1, 0, 0],
[0, 0, 1, 0]]
C = [[sigma]... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a6664b1d0580e21b207addf21d9ef99693e8773a | 2,910 | py | Python | calc_main.py | PaprikaX33/stupidly-simple-calculator | d35085baf7ce78d0fc111e3d8a7e8232c270998b | [
"MIT"
] | null | null | null | calc_main.py | PaprikaX33/stupidly-simple-calculator | d35085baf7ce78d0fc111e3d8a7e8232c270998b | [
"MIT"
] | 7 | 2019-10-09T04:13:54.000Z | 2019-10-14T03:10:11.000Z | calc_main.py | PaprikaX33/stupidly-simple-calculator | d35085baf7ce78d0fc111e3d8a7e8232c270998b | [
"MIT"
] | null | null | null | #!/usr/bin/env python2
while True:
print("\n CALCULATOR MENU")
print("1 for addition :")
print("2 for subtraction :")
print('3 for multiplication :')
print("4 for raise to power:")
print("5 for Division:")
print("6 for floor division:")
print("7 for factorial:")
print("8 for Stateme... | 25.752212 | 82 | 0.519244 | #!/usr/bin/env python2
import math
import parser as pr
def add(a, b):
return a + b
def red(a, b):
return a - b
def mul(a, b):
return a * b
def div(a, b):
return a / b
def power(a, b):
return a ** b
def statement_wrapper():
doper = {
'+' : add
,'-' : red
,'*' : mul
... | 0 | 0 | 0 | 0 | 0 | 1,740 | 0 | -12 | 406 |
dbdd6aecbadab47e637b3959e99f9f1394312c3b | 12,312 | py | Python | dask/dataframe/indexing.py | deHasara/dask | fb544144611b25a6f23d90637038a93f93153f8f | [
"BSD-3-Clause"
] | null | null | null | dask/dataframe/indexing.py | deHasara/dask | fb544144611b25a6f23d90637038a93f93153f8f | [
"BSD-3-Clause"
] | 2 | 2020-03-30T22:18:11.000Z | 2020-04-02T04:13:36.000Z | dask/dataframe/indexing.py | deHasara/dask | fb544144611b25a6f23d90637038a93f93153f8f | [
"BSD-3-Clause"
] | 1 | 2020-04-29T19:28:41.000Z | 2020-04-29T19:28:41.000Z | from datetime import datetime
from collections import defaultdict
import bisect
import numpy as np
import pandas as pd
from .utils import is_index_like
def _partition_of_index_value(divisions, val):
"""In which partition does this value lie?
>>> _partition_of_index_value([0, 5, 10], 3)
0
>>> _par... | 33.275676 | 87 | 0.584146 | from datetime import datetime
from collections import defaultdict
import bisect
import numpy as np
import pandas as pd
from .core import new_dd_object, Series
from ..array.core import Array
from .utils import is_index_like, meta_nonempty
from . import methods
from ..base import tokenize
from ..highlevelgraph import H... | 0 | 193 | 0 | 8,943 | 0 | 0 | 0 | 70 | 180 |
7c0783775708e164a7de2a7db1e9ec1cd5c7040a | 182 | py | Python | source/__init__.py | Very1Fake/monitor | bb47352cffebd8b99bafac0a342324b042b3d826 | [
"Apache-2.0",
"MIT"
] | null | null | null | source/__init__.py | Very1Fake/monitor | bb47352cffebd8b99bafac0a342324b042b3d826 | [
"Apache-2.0",
"MIT"
] | null | null | null | source/__init__.py | Very1Fake/monitor | bb47352cffebd8b99bafac0a342324b042b3d826 | [
"Apache-2.0",
"MIT"
] | null | null | null | from packaging.version import Version
__credits__ = ["very1fake"]
__license__ = "MIT/Apache-2.0"
__version__ = "1.0.6"
__maintainer__ = "very1fake"
version = Version(__version__)
| 18.2 | 37 | 0.752747 | from packaging.version import Version
__credits__ = ["very1fake"]
__license__ = "MIT/Apache-2.0"
__version__ = "1.0.6"
__maintainer__ = "very1fake"
version = Version(__version__)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
62e63d0c6b135c8198eca554bf7e6a2e7baac64d | 433 | py | Python | ACM ICPC/String/Top_K_Frequent_Words/top_k_frequent_words.py | shreejitverma/GeeksforGeeks | d7bcb166369fffa9a031a258e925b6aff8d44e6c | [
"MIT"
] | 2 | 2022-02-18T05:14:28.000Z | 2022-03-08T07:00:08.000Z | ACM ICPC/String/Top_K_Frequent_Words/top_k_frequent_words.py | shivaniverma1/Competitive-Programming-1 | d7bcb166369fffa9a031a258e925b6aff8d44e6c | [
"MIT"
] | 6 | 2022-01-13T04:31:04.000Z | 2022-03-12T01:06:16.000Z | ACM ICPC/String/Top_K_Frequent_Words/top_k_frequent_words.py | shivaniverma1/Competitive-Programming-1 | d7bcb166369fffa9a031a258e925b6aff8d44e6c | [
"MIT"
] | 2 | 2022-02-14T19:53:53.000Z | 2022-02-18T05:14:30.000Z | # Returns k number of words sorted on their occurrence
if __name__ == '__main__':
inpt = input('Enter space seperated words: ').split()
k = int(
input(
'Enter the amount of words to retreive based on their occurance: ')
)
print(top_k_frequent_words(inpt, k))
| 30.928571 | 79 | 0.65127 | # Returns k number of words sorted on their occurrence
def top_k_frequent_words(words, k: int):
return sorted(
sorted(set(words)), key=lambda x: words.count(x), reverse=True)[:k]
if __name__ == '__main__':
inpt = input('Enter space seperated words: ').split()
k = int(
input(
'E... | 0 | 0 | 0 | 0 | 0 | 114 | 0 | 0 | 22 |
d54be79502f4c11601fd7fb259a73d045fb9a1a2 | 415 | py | Python | church/migrations/0018_facebooklink_file_upload.py | khanhpn/florida | 5e83d0561b9f41ff79383a6a2f0a84d6c8459ef0 | [
"Apache-2.0"
] | 1 | 2021-01-22T02:52:33.000Z | 2021-01-22T02:52:33.000Z | church/migrations/0018_facebooklink_file_upload.py | khanhpn/florida | 5e83d0561b9f41ff79383a6a2f0a84d6c8459ef0 | [
"Apache-2.0"
] | null | null | null | church/migrations/0018_facebooklink_file_upload.py | khanhpn/florida | 5e83d0561b9f41ff79383a6a2f0a84d6c8459ef0 | [
"Apache-2.0"
] | null | null | null | # Generated by Django 3.2.5 on 2021-09-03 12:56
| 21.842105 | 77 | 0.59759 | # Generated by Django 3.2.5 on 2021-09-03 12:56
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('church', '0017_linkedchurch'),
]
operations = [
migrations.AddField(
model_name='facebooklink',
name='file_upload',
... | 0 | 0 | 0 | 301 | 0 | 0 | 0 | 19 | 46 |
36a2775a2ac44b7d929353e95a007696147eb907 | 1,270 | py | Python | crypto_address_validator/__init__.py | null-po1nter/crypto-address-validator | a65239ff86613c1cca744849c3c6910bb4eacf64 | [
"Unlicense"
] | 6 | 2022-01-11T15:25:57.000Z | 2022-02-16T08:05:07.000Z | crypto_address_validator/__init__.py | null-po1nter/crypto-address-validator | a65239ff86613c1cca744849c3c6910bb4eacf64 | [
"Unlicense"
] | null | null | null | crypto_address_validator/__init__.py | null-po1nter/crypto-address-validator | a65239ff86613c1cca744849c3c6910bb4eacf64 | [
"Unlicense"
] | 2 | 2022-01-11T15:26:05.000Z | 2022-03-22T08:05:59.000Z | from crypto_address_validator.validators import default_validator
from crypto_address_validator.validators import atom_validator
from crypto_address_validator.validators import bnb_validator
from crypto_address_validator.validators import aion_validator
from crypto_address_validator.validators import eos_validator
from... | 30.238095 | 65 | 0.735433 | from crypto_address_validator.validators import default_validator
from crypto_address_validator.validators import atom_validator
from crypto_address_validator.validators import bnb_validator
from crypto_address_validator.validators import aion_validator
from crypto_address_validator.validators import eos_validator
from... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
59f7061bacac1bfdf2d744f13106a5a5eadbd85e | 6,312 | py | Python | src/create_topic_graph.py | medialab/webclim_propagation_graphs_facebook | d2c6345a5045a29c903b7bd355c6c13ba01d0e71 | [
"MIT"
] | 1 | 2020-05-12T14:18:00.000Z | 2020-05-12T14:18:00.000Z | src/create_topic_graph.py | medialab/webclim_analyses | d2c6345a5045a29c903b7bd355c6c13ba01d0e71 | [
"MIT"
] | null | null | null | src/create_topic_graph.py | medialab/webclim_analyses | d2c6345a5045a29c903b7bd355c6c13ba01d0e71 | [
"MIT"
] | null | null | null | """Based on which facebook groups have shared the fake news
published by specific domain names,
this script will generate a bipartite graph
with the facebook groups and the domain names"""
import pandas as pd
import networkx as nx
import ural
import os
import sys
def clean_data(CLEAN_DATA_DIRECTORY, SCIENTIFIC_TOP... | 42.938776 | 104 | 0.64512 | """Based on which facebook groups have shared the fake news
published by specific domain names,
this script will generate a bipartite graph
with the facebook groups and the domain names"""
import pandas as pd
import numpy as np
import matplotlib as mpl
import networkx as nx
from networkx.algorithms import bipartite
i... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 66 |
36dbb5b4b4d979e45050f4692afffb84a7eed0f8 | 9,251 | py | Python | mac/google-cloud-sdk/lib/googlecloudsdk/api_lib/firebase/test/tool_results.py | bopopescu/cndw | ee432efef88a4351b355f3d6d5350defc7f4246b | [
"Apache-2.0"
] | null | null | null | mac/google-cloud-sdk/lib/googlecloudsdk/api_lib/firebase/test/tool_results.py | bopopescu/cndw | ee432efef88a4351b355f3d6d5350defc7f4246b | [
"Apache-2.0"
] | 4 | 2020-07-21T12:51:46.000Z | 2022-01-22T10:29:25.000Z | mac/google-cloud-sdk/lib/googlecloudsdk/api_lib/firebase/test/tool_results.py | bopopescu/cndw | ee432efef88a4351b355f3d6d5350defc7f4246b | [
"Apache-2.0"
] | 1 | 2020-07-25T18:17:57.000Z | 2020-07-25T18:17:57.000Z | # -*- coding: utf-8 -*- #
# Copyright 2017 Google LLC. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | 45.126829 | 80 | 0.720246 | # -*- coding: utf-8 -*- #
# Copyright 2017 Google LLC. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | 0 | 0 | 0 | 316 | 0 | 0 | 0 | -3 | 46 |
f22fa272296f5002435df89407092a61d69e7af3 | 1,705 | py | Python | ServerScript/recievestore.py | wmizzi/tn2capstone | e9855ba6b49e2d05293df74846c64fa0c220a25d | [
"BSD-2-Clause"
] | null | null | null | ServerScript/recievestore.py | wmizzi/tn2capstone | e9855ba6b49e2d05293df74846c64fa0c220a25d | [
"BSD-2-Clause"
] | null | null | null | ServerScript/recievestore.py | wmizzi/tn2capstone | e9855ba6b49e2d05293df74846c64fa0c220a25d | [
"BSD-2-Clause"
] | null | null | null | # created by Angus Clark 9/2/17 updated 27/2/17
# ToDo impliment traceroute function into this
# Perhaps get rid of unnecessary itemediate temp file
import socket
import os
import json
import my_traceroute
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
host = '130.56.253.43'
#print host
port = 5201 # Change ... | 30.446429 | 86 | 0.609971 | # created by Angus Clark 9/2/17 updated 27/2/17
# ToDo impliment traceroute function into this
# Perhaps get rid of unnecessary itemediate temp file
import socket
import os
import json
import my_traceroute
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
host = '130.56.253.43'
#print host
port = 5201 # Change ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
402bd0ecd3ad3683810f6e43fdd05ede3dff3a02 | 9,732 | py | Python | src/piebus/api.py | hiway/piebus | 898e084c6065824fdb1dce8fedc1f8fac8499703 | [
"BSD-2-Clause"
] | null | null | null | src/piebus/api.py | hiway/piebus | 898e084c6065824fdb1dce8fedc1f8fac8499703 | [
"BSD-2-Clause"
] | 5 | 2021-03-19T01:09:42.000Z | 2022-01-13T01:17:44.000Z | src/piebus/api.py | hiway/piebus | 898e084c6065824fdb1dce8fedc1f8fac8499703 | [
"BSD-2-Clause"
] | null | null | null | import asyncio
from playhouse.sqlite_ext import (SqliteExtDatabase)
from . import PATH_DATABASE
loop = asyncio.get_event_loop()
pragmas = [
('journal_mode', 'wal'),
('cache_size', -1024 * 32)]
db = SqliteExtDatabase(PATH_DATABASE, pragmas=pragmas)
| 31.597403 | 110 | 0.585491 | import asyncio
import base64
import datetime
import hashlib
import json
import os
import smopy
import traceback
from json import JSONDecodeError
from uuid import uuid4
import bcrypt
import peewee
from PIL import Image, ImageDraw
from peewee import (
Model,
CharField,
TextField,
IntegerField,
Foreig... | 0 | 2,776 | 2,930 | 2,970 | 0 | 149 | 0 | 124 | 515 |
6f3c693c479a27919155bf7fe3a2aa2e751a7747 | 2,731 | py | Python | tests/test_attention_gqn.py | rnagumo/gqnlib | 96bd8499f90c00b29817f71e6380bc622ce78479 | [
"MIT"
] | 1 | 2020-08-13T01:54:52.000Z | 2020-08-13T01:54:52.000Z | tests/test_attention_gqn.py | rnagumo/gqnlib | 96bd8499f90c00b29817f71e6380bc622ce78479 | [
"MIT"
] | null | null | null | tests/test_attention_gqn.py | rnagumo/gqnlib | 96bd8499f90c00b29817f71e6380bc622ce78479 | [
"MIT"
] | 1 | 2021-01-03T16:02:55.000Z | 2021-01-03T16:02:55.000Z |
import unittest
if __name__ == "__main__":
unittest.main()
| 33.716049 | 72 | 0.58074 |
import unittest
import torch
import gqnlib
class TestAttentionGQN(unittest.TestCase):
def setUp(self):
self.model = gqnlib.AttentionGQN()
def test_inference(self):
x_c = torch.randn(4, 15, 3, 64, 64)
v_c = torch.randn(4, 15, 7)
x_q = torch.randn(4, 2, 3, 64, 64)
v_... | 0 | 0 | 0 | 2,612 | 0 | 0 | 0 | -17 | 69 |
bbece0a7cdc6417247ddc363307eef71f86b1fdd | 562 | py | Python | subdomains.py | kiuru/pyTLScanner | ba4b3b35675ad7854366bf6765678229c74fa77b | [
"MIT"
] | null | null | null | subdomains.py | kiuru/pyTLScanner | ba4b3b35675ad7854366bf6765678229c74fa77b | [
"MIT"
] | null | null | null | subdomains.py | kiuru/pyTLScanner | ba4b3b35675ad7854366bf6765678229c74fa77b | [
"MIT"
] | null | null | null | #!/usr/bin/env python
if __name__ == '__main__':
run_scan('helsinki', True)
| 26.761905 | 64 | 0.709964 | #!/usr/bin/env python
from get_listed_companies import get_listed_companies_from_cache
import tldextract
def run_scan(market, debug):
companies = get_listed_companies_from_cache(market, debug)
domain_list = []
for company in companies:
ext_domain = tldextract.extract(company.website)
doma... | 0 | 0 | 0 | 0 | 0 | 370 | 0 | 39 | 68 |
8512a29537636ae25ad14c6bc16ec03b4ce86019 | 10,146 | py | Python | feapder/network/user_pool/gold_user_pool.py | ibryang/feapder | 14b1c1e9bd0953ea8af102d6d220fed4b79d0a5c | [
"MIT"
] | 876 | 2021-02-09T11:08:04.000Z | 2022-03-31T21:14:11.000Z | feapder/network/user_pool/gold_user_pool.py | ibryang/feapder | 14b1c1e9bd0953ea8af102d6d220fed4b79d0a5c | [
"MIT"
] | 94 | 2021-02-20T07:59:28.000Z | 2022-03-28T09:54:53.000Z | feapder/network/user_pool/gold_user_pool.py | ibryang/feapder | 14b1c1e9bd0953ea8af102d6d220fed4b79d0a5c | [
"MIT"
] | 172 | 2021-02-22T08:24:44.000Z | 2022-03-29T08:15:27.000Z | # -*- coding: utf-8 -*-
"""
Created on 2018/12/27 11:32 AM
---------
@summary: UserPool
---------
@author: Boris
@email: boris_liu@foxmail.com
"""
| 34.746575 | 101 | 0.479401 | # -*- coding: utf-8 -*-
"""
Created on 2018/12/27 11:32 AM
---------
@summary: 账号昂贵、限制查询次数及使用时间的用户UserPool
---------
@author: Boris
@email: boris_liu@foxmail.com
"""
import os
import random
import time
from enum import Enum, unique
from typing import Optional, List
from feapder import setting
from feapder.db.redisdb... | 924 | 223 | 0 | 9,013 | 0 | 0 | 0 | 140 | 312 |
91d239c28c854fd8c9982789a6d5ce7d11f7e345 | 1,509 | py | Python | tests/unit/test_core/test_events.py | MarvinTorres/kytos | 2c72f45a76cf61f0e2e62f6703bf794db617e8a9 | [
"MIT"
] | 43 | 2017-03-27T14:30:20.000Z | 2022-02-04T12:42:10.000Z | tests/unit/test_core/test_events.py | MarvinTorres/kytos | 2c72f45a76cf61f0e2e62f6703bf794db617e8a9 | [
"MIT"
] | 612 | 2017-03-09T19:22:16.000Z | 2021-05-31T21:48:52.000Z | tests/unit/test_core/test_events.py | MarvinTorres/kytos | 2c72f45a76cf61f0e2e62f6703bf794db617e8a9 | [
"MIT"
] | 54 | 2017-03-03T19:11:26.000Z | 2022-02-16T15:31:49.000Z | """Test kytos.core.events module."""
| 31.4375 | 78 | 0.60106 | """Test kytos.core.events module."""
from unittest import TestCase
from kytos.core.events import KytosEvent
class TestKytosEvent(TestCase):
"""KytosEvent tests."""
def setUp(self):
"""Instantiate a KytosEvent."""
self.event = KytosEvent('kytos/core.any')
def test__str__(self):
"... | 0 | 0 | 0 | 1,376 | 0 | 0 | 0 | 27 | 68 |
383b5d4a3508e1677c06bc8c513a3d82750bc6c2 | 793 | py | Python | project7-------Pig Latin Translator.py | Omkar-Atugade/Python-Projects | a6e82aced415bff78ff0a2d14a8a4213ca7d09be | [
"MIT"
] | null | null | null | project7-------Pig Latin Translator.py | Omkar-Atugade/Python-Projects | a6e82aced415bff78ff0a2d14a8a4213ca7d09be | [
"MIT"
] | null | null | null | project7-------Pig Latin Translator.py | Omkar-Atugade/Python-Projects | a6e82aced415bff78ff0a2d14a8a4213ca7d09be | [
"MIT"
] | null | null | null | #Get sentence from user
sentence = input('Enter the sentence you want to translate : ').strip().lower()
#Spliting sentence into words
words = sentence.split()
#Converting words to pig latin
latin_words = []
for word in words :
if word[0] in "aeiou" :
latin_word = word + 'yay'
latin_wo... | 23.323529 | 80 | 0.580076 | #Get sentence from user
sentence = input('Enter the sentence you want to translate : ').strip().lower()
#Spliting sentence into words
words = sentence.split()
#Converting words to pig latin
latin_words = []
for word in words :
if word[0] in "aeiou" :
latin_word = word + 'yay'
latin_wo... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4a9e0c3844fe2098fee7bb70d4bee89a6d62f2d9 | 2,352 | py | Python | cloud/endagaweb/tests/test_users.py | pcarivbts/CommunityCellularManager | aaeca413f7e6326d16c9e4587a83aa93dd5a0666 | [
"BSD-3-Clause"
] | 1 | 2018-04-27T17:55:53.000Z | 2018-04-27T17:55:53.000Z | cloud/endagaweb/tests/test_users.py | pcarivbts/CommunityCellularManager | aaeca413f7e6326d16c9e4587a83aa93dd5a0666 | [
"BSD-3-Clause"
] | 14 | 2017-12-12T08:49:41.000Z | 2018-08-23T20:57:01.000Z | cloud/endagaweb/tests/test_users.py | pcarivbts/CommunityCellularManager | aaeca413f7e6326d16c9e4587a83aa93dd5a0666 | [
"BSD-3-Clause"
] | 1 | 2018-07-04T00:53:38.000Z | 2018-07-04T00:53:38.000Z | """Tests for models.Users.
Copyright (c) 2016-present, Facebook, Inc.
All rights reserved.
This source code is licensed under the BSD-style license found in the
LICENSE file in the root directory of this source tree. An additional grant
of patent rights can be found in the PATENTS file in the same directory.
"""
fro... | 28.337349 | 75 | 0.642432 | """Tests for models.Users.
Copyright (c) 2016-present, Facebook, Inc.
All rights reserved.
This source code is licensed under the BSD-style license found in the
LICENSE file in the root directory of this source tree. An additional grant
of patent rights can be found in the PATENTS file in the same directory.
"""
fro... | 0 | 1,223 | 0 | 303 | 0 | 0 | 0 | 19 | 338 |
d78996f2c44c9ac476a065b14b21e830ef580e30 | 304 | py | Python | Python/OS Module/importing.py | themohitpapneja/Code_Dump | ec72144e66d12cba2ce719c37292517588490b42 | [
"Apache-2.0"
] | null | null | null | Python/OS Module/importing.py | themohitpapneja/Code_Dump | ec72144e66d12cba2ce719c37292517588490b42 | [
"Apache-2.0"
] | null | null | null | Python/OS Module/importing.py | themohitpapneja/Code_Dump | ec72144e66d12cba2ce719c37292517588490b42 | [
"Apache-2.0"
] | null | null | null | """
import os
print(os.getcwd())
"""
#OR#
print(getcwd())
print(name) ## OS name
print(path.abspath('.'))
print(listdir('.'))
mkdir("india") ## making directory
sleep(2)
rename("india","india2") ## renaming directory
sleep(2)
rmdir("india2") ## removing directory
| 17.882353 | 46 | 0.664474 | """
import os
print(os.getcwd())
"""
#OR#
from time import *
from os import *
print(getcwd())
print(name) ## OS name
print(path.abspath('.'))
print(listdir('.'))
mkdir("india") ## making directory
sleep(2)
rename("india","india2") ## renaming directory
sleep(2)
rmdir("india2") ## removing directory
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | -8 | 44 |
d2929f6e3b5f0622d33214a597d49836b5363ae9 | 655 | py | Python | scripts/resume_parse.py | vishaljangid1729/Tej-WhatsApp | d346c3ef51a7f9502b027aaec3429ccfbda1b7ca | [
"MIT"
] | null | null | null | scripts/resume_parse.py | vishaljangid1729/Tej-WhatsApp | d346c3ef51a7f9502b027aaec3429ccfbda1b7ca | [
"MIT"
] | null | null | null | scripts/resume_parse.py | vishaljangid1729/Tej-WhatsApp | d346c3ef51a7f9502b027aaec3429ccfbda1b7ca | [
"MIT"
] | null | null | null | # spacy.load('en_core_web_sm')
| 20.46875 | 74 | 0.696183 |
import time
from pyresparser import ResumeParser
import os
from scripts.whatsapp import WhatsApp
# spacy.load('en_core_web_sm')
def Hello ():
main_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
resume_path = f'{main_dir}/Resume/vishal_jangid.pdf'
data = ResumeParser(resume_path).get_... | 0 | 0 | 0 | 0 | 0 | 498 | 0 | 9 | 112 |
86b37d705857d108cdba720a1c9b283be9d61e61 | 9,593 | py | Python | jesse/modes/optimize_mode/__init__.py | jcsaaddupuy/jesse | 58c64c57dfb6aa31d2547415b97bba3e5de53548 | [
"MIT"
] | 1 | 2022-01-12T22:43:23.000Z | 2022-01-12T22:43:23.000Z | jesse/modes/optimize_mode/__init__.py | jcsaaddupuy/jesse | 58c64c57dfb6aa31d2547415b97bba3e5de53548 | [
"MIT"
] | 10 | 2021-12-08T10:32:12.000Z | 2022-03-29T10:30:10.000Z | jesse/modes/optimize_mode/__init__.py | b1nhm1nh/jesse-cli | b463bdc491cedd8042f1a9215e039efa4f701325 | [
"MIT"
] | null | null | null | import os
from multiprocessing import cpu_count
import jesse.services.required_candles as required_candles
os.environ['NUMEXPR_MAX_THREADS'] = str(cpu_count())
| 42.259912 | 194 | 0.629834 | import os
from math import log10
from multiprocessing import cpu_count
from typing import Dict, Any, Tuple, Union
import arrow
import click
from numpy import ndarray
import jesse.helpers as jh
import jesse.services.required_candles as required_candles
from jesse import exceptions
from jesse.config import config
from ... | 0 | 0 | 0 | 6,964 | 0 | 1,935 | 0 | 151 | 379 |
2e0fb78fa4ac896060bf8099388628c620cb68d7 | 22 | py | Python | dipper/utils/__init__.py | monarch-ci/dipper | abcd4843ec051a47cef3b592fadc1cd7d1616b45 | [
"BSD-3-Clause"
] | 52 | 2015-01-28T21:22:19.000Z | 2022-03-15T09:21:07.000Z | dipper/utils/__init__.py | monarch-ci/dipper | abcd4843ec051a47cef3b592fadc1cd7d1616b45 | [
"BSD-3-Clause"
] | 742 | 2015-01-06T00:21:30.000Z | 2021-08-02T20:57:17.000Z | dipper/utils/__init__.py | monarch-ci/dipper | abcd4843ec051a47cef3b592fadc1cd7d1616b45 | [
"BSD-3-Clause"
] | 24 | 2015-07-28T17:06:30.000Z | 2021-08-18T21:28:53.000Z | __author__ = 'nicole'
| 11 | 21 | 0.727273 | __author__ = 'nicole'
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
aabd88d6d9266e9e9a00b2139c397b70f4290f58 | 2,320 | py | Python | dante.py | dantefurrybot/dantev4 | 7282e9466209e794b1e91234a0eb7aa83fd6e413 | [
"CC-BY-4.0"
] | 1 | 2020-08-17T15:59:40.000Z | 2020-08-17T15:59:40.000Z | dante.py | dantefurrybot/dantev4 | 7282e9466209e794b1e91234a0eb7aa83fd6e413 | [
"CC-BY-4.0"
] | null | null | null | dante.py | dantefurrybot/dantev4 | 7282e9466209e794b1e91234a0eb7aa83fd6e413 | [
"CC-BY-4.0"
] | 2 | 2020-08-08T19:02:27.000Z | 2020-08-11T00:40:35.000Z |
channels = [725776681159098408, 728691486115233804, 738967638964830341, 725566843766571112, 732288159060328529, 739199815627440232, 730887667491012720, 729753696199508088]
client = MyClient()
client.run('YourTokenHere')
| 42.181818 | 188 | 0.607759 | import discord
import importlib
from discord.ext import commands
channels = [725776681159098408, 728691486115233804, 738967638964830341, 725566843766571112, 732288159060328529, 739199815627440232, 730887667491012720, 729753696199508088]
class MyClient(discord.Client):
async def on_ready(self):
print('Log... | 0 | 0 | 1,946 | 10 | 0 | 0 | 0 | -1 | 143 |
31259c906ff2965d051dbbd5b31dab0049ea6a49 | 14,800 | py | Python | L3NEW_TG_B10_graph.py | Drywock/L3N_TDG_Projet | a584307efb47f6e8ea0d23d177112aa0ca540104 | [
"MIT"
] | null | null | null | L3NEW_TG_B10_graph.py | Drywock/L3N_TDG_Projet | a584307efb47f6e8ea0d23d177112aa0ca540104 | [
"MIT"
] | null | null | null | L3NEW_TG_B10_graph.py | Drywock/L3N_TDG_Projet | a584307efb47f6e8ea0d23d177112aa0ca540104 | [
"MIT"
] | null | null | null | """
file : graph.py
author(s) : Thomas LINTANF, Laurent CALYDON
Version : 6.0
Definition de la classe Graph qui permet de stocker un graph orient et de lui
appliquer diffrents algorithmes.
"""
| 35.835351 | 101 | 0.548243 | """
file : graph.py
author(s) : Thomas LINTANF, Laurent CALYDON
Version : 6.0
Definition de la classe Graph qui permet de stocker un graph orienté et de lui
appliquer différents algorithmes.
"""
import csv
import logging as log
class Graph:
"""
classe Graph : représente un graphe ori... | 146 | 0 | 0 | 14,458 | 0 | 0 | 0 | -11 | 68 |
84234b9119a4722806e3ea59c33ea0d1f267519b | 565 | py | Python | _basics/nano blink.py | albertoSoto/raspberry-tic-projects | 692762dade2397ba4bedb77b4733a1d5d9829450 | [
"MIT"
] | null | null | null | _basics/nano blink.py | albertoSoto/raspberry-tic-projects | 692762dade2397ba4bedb77b4733a1d5d9829450 | [
"MIT"
] | null | null | null | _basics/nano blink.py | albertoSoto/raspberry-tic-projects | 692762dade2397ba4bedb77b4733a1d5d9829450 | [
"MIT"
] | null | null | null | #EJEMPLO DE BLINKING CON RASPBERRY PI
#Escrito por Gl4r3
import RPi.GPIO as GPIO #importamos la libreria y cambiamos su nombre por "GPIO"
import time #necesario para los delays
#establecemos el sistema de numeracion que queramos, en mi caso BCM
GPIO.setmode(GPIO.BCM)
#configuramos el pin GPIO17 como una salida
GPIO... | 26.904762 | 80 | 0.743363 | #EJEMPLO DE BLINKING CON RASPBERRY PI
#Escrito por Gl4r3
import RPi.GPIO as GPIO #importamos la libreria y cambiamos su nombre por "GPIO"
import time #necesario para los delays
#establecemos el sistema de numeracion que queramos, en mi caso BCM
GPIO.setmode(GPIO.BCM)
#configuramos el pin GPIO17 como una salida
GPIO... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0a5a9577bfb54220f64cd0996cbec96b469bb62e | 11,726 | py | Python | hubspot/cms/blogs/blog_posts/models/styles.py | fakepop/hubspot-api-python | f04103a09f93f5c26c99991b25fa76801074f3d3 | [
"Apache-2.0"
] | null | null | null | hubspot/cms/blogs/blog_posts/models/styles.py | fakepop/hubspot-api-python | f04103a09f93f5c26c99991b25fa76801074f3d3 | [
"Apache-2.0"
] | null | null | null | hubspot/cms/blogs/blog_posts/models/styles.py | fakepop/hubspot-api-python | f04103a09f93f5c26c99991b25fa76801074f3d3 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
Blog Post endpoints
\"Use these endpoints for interacting with Blog Posts, Blog Authors, and Blog Tags\" # noqa: E501
The version of the OpenAPI document: v3
Generated by: https://openapi-generator.tech
"""
| 32.481994 | 105 | 0.613082 | # coding: utf-8
"""
Blog Post endpoints
\"Use these endpoints for interacting with Blog Posts, Blog Authors, and Blog Tags\" # noqa: E501
The version of the OpenAPI document: v3
Generated by: https://openapi-generator.tech
"""
import pprint
import re # noqa: F401
import six
from hubspot.cms.blo... | 0 | 7,000 | 0 | 4,333 | 0 | 0 | 0 | 16 | 128 |
9f3deda47c7c529d5518249b5f4b244e3e3d95c1 | 572 | py | Python | image_finder.py | AlexKent3141/PicASCII | 464415d9eb43553720336ae1e5f66a46d9f3eef5 | [
"MIT"
] | null | null | null | image_finder.py | AlexKent3141/PicASCII | 464415d9eb43553720336ae1e5f66a46d9f3eef5 | [
"MIT"
] | null | null | null | image_finder.py | AlexKent3141/PicASCII | 464415d9eb43553720336ae1e5f66a46d9f3eef5 | [
"MIT"
] | null | null | null |
# Base class for image finders.
if __name__ == "__main__":
f = find_image(["mountain", "alps"])
download_image(f, "mount.jpg")
| 31.777778 | 71 | 0.674825 | import urllib2
# Base class for image finders.
class ImageFinder(object):
# This method must be implemented in the derived class.
def find(self, search_terms):
raise NotImplementedError("ImageFinder::find not implemented!")
# Download the file at the specified URL and save it.
def download(sel... | 0 | 0 | 0 | 398 | 0 | 0 | 0 | -7 | 44 |
6adc04cb703a03f9e3146952968df89ed80db336 | 1,665 | py | Python | nanodet/util/misc.py | Sean-hku/nanodet | f62a3a1e311fb446afabb3512a5ebedc81105778 | [
"Apache-2.0"
] | 8 | 2021-05-01T14:11:19.000Z | 2022-01-11T01:08:35.000Z | nanodet/util/misc.py | Sean-hku/nanodet | f62a3a1e311fb446afabb3512a5ebedc81105778 | [
"Apache-2.0"
] | 1 | 2022-02-17T14:20:11.000Z | 2022-02-17T14:20:11.000Z | nanodet/util/misc.py | Sean-hku/nanodet | f62a3a1e311fb446afabb3512a5ebedc81105778 | [
"Apache-2.0"
] | null | null | null | # Modification 2020 RangiLyu
# Copyright 2018-2019 Open-MMLab.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicabl... | 32.647059 | 75 | 0.678679 | # Modification 2020 RangiLyu
# Copyright 2018-2019 Open-MMLab.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicabl... | 0 | 0 | 0 | 0 | 0 | 157 | 0 | 8 | 45 |
e2cd8925067691083a53320bbc702cff13ae910f | 11,031 | py | Python | tests/test_mcts_player.py | donkirkby/zero-play | 15e3afa950037cfd1f373ee4943cd8b42d4c82c9 | [
"MIT"
] | 7 | 2020-04-30T15:44:56.000Z | 2021-04-07T18:37:21.000Z | tests/test_mcts_player.py | donkirkby/zero-play | 15e3afa950037cfd1f373ee4943cd8b42d4c82c9 | [
"MIT"
] | 84 | 2019-05-07T04:37:10.000Z | 2022-03-04T18:17:57.000Z | tests/test_mcts_player.py | donkirkby/zero-play | 15e3afa950037cfd1f373ee4943cd8b42d4c82c9 | [
"MIT"
] | 1 | 2021-04-07T18:37:25.000Z | 2021-04-07T18:37:25.000Z |
import numpy as np
from zero_play.mcts_player import MctsPlayer, SearchManager
from zero_play.playout import Playout
from zero_play.tictactoe.state import TicTacToeState
def test_choose_moves_at_random():
""" Early moves are chosen from a weighted random population. """
np.random.seed(0)
sta... | 24.900677 | 98 | 0.658327 | import typing
from collections import Counter
import numpy as np
from pytest import approx
from zero_play.connect4.game import Connect4State
from zero_play.game_state import GameState
from zero_play.heuristic import Heuristic
from zero_play.mcts_player import SearchNode, MctsPlayer, SearchManager
from zero_play.playo... | 0 | 0 | 0 | 1,262 | 0 | 7,320 | 0 | 87 | 570 |
b3dc77bb14f38cb12956556bf85829eb1755a3ee | 1,218 | py | Python | 11/star1.py | nfitzen/advent-of-code-2020 | 774b7db35aaf31b0e72a569b3441343d50f4d079 | [
"CC0-1.0",
"MIT"
] | null | null | null | 11/star1.py | nfitzen/advent-of-code-2020 | 774b7db35aaf31b0e72a569b3441343d50f4d079 | [
"CC0-1.0",
"MIT"
] | null | null | null | 11/star1.py | nfitzen/advent-of-code-2020 | 774b7db35aaf31b0e72a569b3441343d50f4d079 | [
"CC0-1.0",
"MIT"
] | null | null | null | #!/usr/bin/env python3
# SPDX-FileCopyrightText: 2020 Nathaniel Fitzenrider <https://github.com/nfitzen>
#
# SPDX-License-Identifier: CC0-1.0
import itertools
from typing import List
from copy import deepcopy
with open('input.txt') as f:
data = list(list(s.strip()) for s in f.readlines())
def update(state: List[... | 29.707317 | 81 | 0.526273 | #!/usr/bin/env python3
# SPDX-FileCopyrightText: 2020 Nathaniel Fitzenrider <https://github.com/nfitzen>
#
# SPDX-License-Identifier: CC0-1.0
import itertools
from typing import List
from copy import deepcopy
with open('input.txt') as f:
data = list(list(s.strip()) for s in f.readlines())
def update(state: List[... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0c57458a5e82bfdc85a8d11ffd2f10db47dcbdb0 | 451 | py | Python | lona/unique_ids.py | korantu/lona | 5039fa59f37cc32b9c789753af2ed8a8670ab611 | [
"MIT"
] | 230 | 2021-08-15T20:46:24.000Z | 2022-03-30T10:17:43.000Z | lona/unique_ids.py | korantu/lona | 5039fa59f37cc32b9c789753af2ed8a8670ab611 | [
"MIT"
] | 176 | 2021-08-18T08:19:37.000Z | 2022-03-29T16:45:06.000Z | lona/unique_ids.py | korantu/lona | 5039fa59f37cc32b9c789753af2ed8a8670ab611 | [
"MIT"
] | 13 | 2021-08-20T10:35:04.000Z | 2022-01-17T15:49:40.000Z |
_name_spaces = {
'': UniqueIDGenerator(),
'nodes': UniqueIDGenerator(),
'view_runtimes': UniqueIDGenerator(),
}
| 18.04 | 41 | 0.625277 | from threading import Lock
class UniqueIDGenerator:
def __init__(self):
self._lock = Lock()
self._value = 0
def __call__(self):
with self._lock:
self._value += 1
return str(self._value)
_name_spaces = {
'': UniqueIDGenerator(),
'nodes': UniqueIDGener... | 0 | 0 | 0 | 195 | 0 | 55 | 0 | 5 | 68 |
540974b01b23268f6d433583746dfaade82d9a64 | 6,190 | py | Python | Compass_gait_biped_simulations/Animate_posterior_compass_biped.py | ernovoseller/CoSpar | 2a9584dc9d1cdda5f7c0376ce744a18edab56cbb | [
"MIT"
] | 5 | 2020-11-18T14:05:13.000Z | 2021-05-18T15:00:33.000Z | Compass_gait_biped_simulations/Animate_posterior_compass_biped.py | ernovoseller/CoSpar | 2a9584dc9d1cdda5f7c0376ce744a18edab56cbb | [
"MIT"
] | null | null | null | Compass_gait_biped_simulations/Animate_posterior_compass_biped.py | ernovoseller/CoSpar | 2a9584dc9d1cdda5f7c0376ce744a18edab56cbb | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
For the ICRA video, we made some animations of how the preference model
posteriors evolve after each iteration. This script saves the stack of images
to make such an animation for the compass-gait biped's model posterior. For
every iteration, we save an image of the model posterior from on... | 35.780347 | 82 | 0.639742 | # -*- coding: utf-8 -*-
"""
For the ICRA video, we made some animations of how the preference model
posteriors evolve after each iteration. This script saves the stack of images
to make such an animation for the compass-gait biped's model posterior. For
every iteration, we save an image of the model posterior from on... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c37a56745c7c38908f76b7304b7460e23194957e | 11,107 | py | Python | gym_minigrid/envs/fourrooms_memory.py | andreykurenkov/gym-minigrid | 2c053e8f78ebe6f7aa92cdf81c7539a4fffc12ec | [
"Apache-2.0"
] | null | null | null | gym_minigrid/envs/fourrooms_memory.py | andreykurenkov/gym-minigrid | 2c053e8f78ebe6f7aa92cdf81c7539a4fffc12ec | [
"Apache-2.0"
] | null | null | null | gym_minigrid/envs/fourrooms_memory.py | andreykurenkov/gym-minigrid | 2c053e8f78ebe6f7aa92cdf81c7539a4fffc12ec | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from gym_minigrid.register import register
register(
id='MiniGrid-FourRoomsMemory-v0',
entry_point='gym_minigrid.envs:FourRoomsMemoryEnv'
)
register(
id='MiniGrid-FourRoomsMemoryRGB-v0',
entry_point='gym_minigrid.envs:rgb_env'
)
register(
id='MiniGri... | 33.966361 | 102 | 0.545062 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from gym_minigrid.minigrid import *
from gym_minigrid.register import register
from gym_minigrid.wrappers import RGBImgPartialObsWrapper
from gym_minigrid.wrappers import FrameStack
from collections import deque
from gym.spaces import Box
from gym import Wrapper
import num... | 0 | 0 | 0 | 9,893 | 0 | 464 | 0 | 77 | 269 |
53c98d607588d8ce88a263df9e07ac14a254f1e0 | 3,518 | py | Python | Equation_Solver8.py | mmankowski/Loewe-additivity-calculator | 43f7135429a992d932d805dfa8a4c3b0b8fc769c | [
"MIT"
] | null | null | null | Equation_Solver8.py | mmankowski/Loewe-additivity-calculator | 43f7135429a992d932d805dfa8a4c3b0b8fc769c | [
"MIT"
] | null | null | null | Equation_Solver8.py | mmankowski/Loewe-additivity-calculator | 43f7135429a992d932d805dfa8a4c3b0b8fc769c | [
"MIT"
] | null | null | null | # to run open terminal window in location then type 'python "scriptname.py" "filename.csv" ' - "" indicates that these portions are replaced with actual file names
# import necessary libraries
import csv
import sys
import math
# read in the file & convert "that memory" into a csv read file
f = open(sys.argv[1],'rb')... | 24.774648 | 163 | 0.627345 | # to run open terminal window in location then type 'python "scriptname.py" "filename.csv" ' - "" indicates that these portions are replaced with actual file names
# import necessary libraries
import csv
import sys
import math
# read in the file & convert "that memory" into a csv read file
f = open(sys.argv[1],'rb')... | 0 | 0 | 0 | 0 | 0 | 595 | 0 | 0 | 71 |
f4fbe171060d67aad65e5f5de62f76eb891714f0 | 800 | py | Python | setup.py | beaumartinez/twittercide | 5ef74560f17f7e2497edb3ae915dc0172e4fcf5d | [
"0BSD"
] | 2 | 2015-01-04T04:34:03.000Z | 2018-04-18T20:35:29.000Z | setup.py | beaumartinez/twittercide | 5ef74560f17f7e2497edb3ae915dc0172e4fcf5d | [
"0BSD"
] | null | null | null | setup.py | beaumartinez/twittercide | 5ef74560f17f7e2497edb3ae915dc0172e4fcf5d | [
"0BSD"
] | null | null | null | #! /usr/bin/env python
from setuptools import find_packages
from setuptools import setup
with open('README.md') as readme_file:
readme = readme_file.read()
setup(
author='Beau Martinez',
classifiers=[
'Programming Language :: Python :: 2.7',
],
description='Delete your tweets and backup... | 22.857143 | 80 | 0.61375 | #! /usr/bin/env python
from setuptools import find_packages
from setuptools import setup
with open('README.md') as readme_file:
readme = readme_file.read()
setup(
author='Beau Martinez',
classifiers=[
'Programming Language :: Python :: 2.7',
],
description='Delete your tweets and backup... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9c4590f9f6a92336f506f82a881a87cbc141ae94 | 10,753 | py | Python | backend/database/result.py | brownben/munro | 2beeae23f29fd064b102a44a1c2d3d852eed65e0 | [
"MIT"
] | 5 | 2020-02-02T14:58:15.000Z | 2022-01-07T08:24:37.000Z | backend/database/result.py | brownben/munro | 2beeae23f29fd064b102a44a1c2d3d852eed65e0 | [
"MIT"
] | 773 | 2020-01-04T22:54:01.000Z | 2022-03-31T16:07:56.000Z | backend/database/result.py | brownben/munro | 2beeae23f29fd064b102a44a1c2d3d852eed65e0 | [
"MIT"
] | 1 | 2021-12-25T14:32:25.000Z | 2021-12-25T14:32:25.000Z | from __future__ import annotations
properties = [
"time",
"position",
"points",
"incomplete",
"event",
"competitor",
"type",
"course",
"id",
"name",
"ageClass",
"club",
"course",
"eventName",
]
| 28.149215 | 75 | 0.464894 | from __future__ import annotations
from typing import Any, Dict, List, Literal, Optional, Union
from .event import Event
from .database import query, queryWithResult, queryWithResults
properties = [
"time",
"position",
"points",
"incomplete",
"event",
"competitor",
"type",
"course",
... | 0 | 7,281 | 0 | 3,047 | 0 | 0 | 0 | 83 | 90 |
4c974887fd1b1b9962ef96e605440ab8067fc6be | 2,952 | py | Python | plotdev.py | SABSR3-Group-2/PKLibaryGroup2 | 99b065e75aed0a5e640f218455b9c9e452613fa6 | [
"MIT"
] | null | null | null | plotdev.py | SABSR3-Group-2/PKLibaryGroup2 | 99b065e75aed0a5e640f218455b9c9e452613fa6 | [
"MIT"
] | 11 | 2020-10-21T13:41:53.000Z | 2020-10-28T10:16:56.000Z | plotdev.py | SABSR3-Group-2/PKLibaryGroup2 | 99b065e75aed0a5e640f218455b9c9e452613fa6 | [
"MIT"
] | null | null | null |
# solveData = pd.DataFrame(data = [[1,2,4,8,16,32,64,128],[1,1,2,3,4,3,2,1]], columns=[0,1,2,3,4,5,6,7])
# solveData = solveData.transpose()
# a = [[1,2,3,4],[4,3,2,1,2,3,4,3,2,1]]
# #b= np.array(a)
# c = np.array(a).T
# newData = pd.DataFrame(data = a, columns=[1,2,3,3.5,4,5,6,7,8,9])
# newData = newData.tra... | 25.230769 | 104 | 0.602304 | import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
def __unitsFormat(unitsInput):
if unitsInput != "":
unitsOutput = " ("+unitsInput+")"
else:
unitsOutput = unitsInput
return unitsOutput
# solveData = pd.DataFrame(data = [[1,2,4,8,16,32,64,128],[1,1,2,3,4,3,2,1]], co... | 0 | 0 | 0 | 1,834 | 0 | 142 | 0 | 5 | 112 |
52b2b8048d01ad33751970a0ccba10527e01ab2d | 7,194 | py | Python | attack_methods/Jpeg_compression.py | ASU-Active-Perception-Group/decentralized_attribution_of_generative_models | b57c38b215cff4df24744262ffa02d41c61151ac | [
"MIT"
] | 3 | 2021-03-19T08:34:57.000Z | 2021-03-20T04:06:43.000Z | attack_methods/Jpeg_compression.py | ASU-Active-Perception-Group/decentralized_attribution_of_generative_models | b57c38b215cff4df24744262ffa02d41c61151ac | [
"MIT"
] | null | null | null | attack_methods/Jpeg_compression.py | ASU-Active-Perception-Group/decentralized_attribution_of_generative_models | b57c38b215cff4df24744262ffa02d41c61151ac | [
"MIT"
] | null | null | null | import torch.nn as nn
# def zigzag_indices(shape: (int, int), count):
# x_range, y_range = shape
# index_order = sorted(((x, y) for x in range(x_range) for y in range(y_range)),
# key=lambda p: (p[0] + p[1], -p[1] if (p[0] + p[1]) % 2 else p[1]))
#
# mask = np.zeros(shape)
# fo... | 43.077844 | 155 | 0.578121 | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
def gen_filters(size_x: int, size_y: int, dct_or_idct_fun: callable) -> np.ndarray:
tile_size_x = 8
filters = np.zeros((size_x * size_y, size_x, size_y))
for k_y in range(size_y):
for k_x in range(size_x):
... | 0 | 0 | 0 | 4,246 | 0 | 1,376 | 0 | -2 | 181 |
ffedf602d2f9c7fa1d071765a091d64c3cb50e73 | 413 | py | Python | session/migrations/0006_auto_20190415_1247.py | tonymontaro/mentorci_server | 527885a38da60e80698624309f99455e0c8b1192 | [
"MIT"
] | 2 | 2019-07-11T09:46:11.000Z | 2020-02-14T19:47:30.000Z | session/migrations/0006_auto_20190415_1247.py | tonymontaro/mentorci_server | 527885a38da60e80698624309f99455e0c8b1192 | [
"MIT"
] | 14 | 2019-07-05T08:52:17.000Z | 2022-02-10T08:25:03.000Z | session/migrations/0006_auto_20190415_1247.py | tonymontaro/mentorci_server | 527885a38da60e80698624309f99455e0c8b1192 | [
"MIT"
] | 2 | 2019-07-11T09:46:14.000Z | 2020-02-14T20:57:55.000Z | # Generated by Django 2.2 on 2019-04-15 12:47
| 21.736842 | 74 | 0.607748 | # Generated by Django 2.2 on 2019-04-15 12:47
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('session', '0005_auto_20190415_0524'),
]
operations = [
migrations.AlterField(
model_name='sessionlog',
name='concern',... | 0 | 0 | 0 | 301 | 0 | 0 | 0 | 19 | 46 |
2020c53b7f2ac02ac70f17066db5bac7ae6d6bf8 | 2,643 | py | Python | trend/src/zutils/tensorflow/tf_store.py | limingmax/WFCode | f2e6d2fcf05ad9fdaac3a69603afee047ed37ca3 | [
"Apache-2.0"
] | 2 | 2018-10-23T01:56:46.000Z | 2018-10-23T01:56:49.000Z | trend/src/zutils/tensorflow/tf_store.py | limingmax/WFCode | f2e6d2fcf05ad9fdaac3a69603afee047ed37ca3 | [
"Apache-2.0"
] | null | null | null | trend/src/zutils/tensorflow/tf_store.py | limingmax/WFCode | f2e6d2fcf05ad9fdaac3a69603afee047ed37ca3 | [
"Apache-2.0"
] | null | null | null | # @Time : 2018-9-10
# @Author : zxh
| 39.447761 | 99 | 0.67045 | # @Time : 2018-9-10
# @Author : zxh
import os
import tensorflow as tf
import sys
from zutils.utils import relative_project_path
class TFStore:
def __init__(self, sess, model_name, net_name, max_to_keep=500):
self.sess = sess
self.model_name= model_name
self.net_name = net_name
sel... | 0 | 0 | 0 | 2,490 | 0 | 0 | 0 | 4 | 111 |
72bc8a1878b0d62c89218738d3dca18323b62324 | 5,997 | py | Python | otter/database/model.py | pathob/odoo-otter | 1bf5dbab3c3ef12a12cae604d82d4e6f855f37fc | [
"Apache-2.0"
] | null | null | null | otter/database/model.py | pathob/odoo-otter | 1bf5dbab3c3ef12a12cae604d82d4e6f855f37fc | [
"Apache-2.0"
] | 1 | 2022-01-10T15:05:53.000Z | 2022-01-10T15:05:53.000Z | otter/database/model.py | pathob/odoo-otter | 1bf5dbab3c3ef12a12cae604d82d4e6f855f37fc | [
"Apache-2.0"
] | null | null | null | # based on https://realpython.com/python-sqlite-sqlalchemy/#using-flat-files-for-data-storage
from sqlalchemy.ext.declarative import declarative_base
from otter.database import engine
# from otter.database import session as sess
Base = declarative_base()
# cached Odoo objects
# class BaseMixin(Base):
# @class... | 30.135678 | 113 | 0.629148 | # based on https://realpython.com/python-sqlite-sqlalchemy/#using-flat-files-for-data-storage
from datetime import datetime
import sqlalchemy
from sqlalchemy import Column, String, Boolean, Integer, Float, Date, DateTime, ForeignKey, select, func, cast
from sqlalchemy.exc import NoResultFound
from sqlalchemy.ext.decla... | 0 | 2,257 | 0 | 2,683 | 0 | 0 | 0 | 231 | 270 |
f17683f3d27673d7aef5f527130d3c6b329fd12a | 3,553 | py | Python | golfshot-downloader.py | tinman6/golfshot-downloader | c5093c670a673fc0ee26fd0dceb9bba0c7675ad2 | [
"MIT"
] | null | null | null | golfshot-downloader.py | tinman6/golfshot-downloader | c5093c670a673fc0ee26fd0dceb9bba0c7675ad2 | [
"MIT"
] | null | null | null | golfshot-downloader.py | tinman6/golfshot-downloader | c5093c670a673fc0ee26fd0dceb9bba0c7675ad2 | [
"MIT"
] | null | null | null | #!/usr/bin/python
import argparse
from lxml import etree
import requests
GOLFSHOT_URL = 'https://play.golfshot.com'
parser = argparse.ArgumentParser(description='Download GolfShot data')
parser.add_argument('username', help='Username for GolfShot account')
parser.add_argument('password', help='Password for ... | 33.838095 | 160 | 0.687025 | #!/usr/bin/python
import argparse
from bs4 import BeautifulSoup
from html.parser import HTMLParser
from lxml import etree
import json
import re
import requests
GOLFSHOT_URL = 'https://play.golfshot.com'
class RoundParser(HTMLParser):
def handle_data(self, data):
# the golfshot model is available in a script b... | 0 | 0 | 0 | 637 | 0 | 1,581 | 0 | -1 | 203 |
195f9f62c5e9e58bb63a7defda4ff1c86c175351 | 1,719 | py | Python | examples/pyqtcom/mainwindow_UI.py | chinnurtb/distrex | a97a086050af6c799c86dadd3d2eb5c4ecb9b21c | [
"BSD-4-Clause"
] | 1 | 2015-01-12T01:19:13.000Z | 2015-01-12T01:19:13.000Z | examples/pyqtcom/mainwindow_UI.py | chinnurtb/distrex | a97a086050af6c799c86dadd3d2eb5c4ecb9b21c | [
"BSD-4-Clause"
] | null | null | null | examples/pyqtcom/mainwindow_UI.py | chinnurtb/distrex | a97a086050af6c799c86dadd3d2eb5c4ecb9b21c | [
"BSD-4-Clause"
] | null | null | null | from PyQt4 import QtCore
try:
_fromUtf8 = QtCore.QString.fromUtf8
except AttributeError:
_fromUtf8 = lambda s: s
| 47.75 | 139 | 0.706225 | from PyQt4 import QtCore, QtGui
try:
_fromUtf8 = QtCore.QString.fromUtf8
except AttributeError:
_fromUtf8 = lambda s: s
class Ui_MainWindow(object):
def setupUi(self, MainWindow):
MainWindow.setObjectName(_fromUtf8("MainWindow"))
MainWindow.resize(800, 756)
self.centralw... | 0 | 0 | 0 | 1,559 | 0 | 0 | 0 | 7 | 25 |
4b805d7ef26b22a989836bce1b521bf8bf18807d | 5,618 | py | Python | src/os-specific/windows/token/modify_token.py | shownadda/Malware-Dev | a3fb40371bb4c4f41c582747af41ae8800050f5c | [
"Unlicense"
] | 46 | 2022-01-30T14:29:02.000Z | 2022-03-25T03:49:13.000Z | src/os-specific/windows/token/modify_token.py | shownadda/Malware-Dev | a3fb40371bb4c4f41c582747af41ae8800050f5c | [
"Unlicense"
] | null | null | null | src/os-specific/windows/token/modify_token.py | shownadda/Malware-Dev | a3fb40371bb4c4f41c582747af41ae8800050f5c | [
"Unlicense"
] | 1 | 2022-03-05T03:42:55.000Z | 2022-03-05T03:42:55.000Z | ## Modify Process Token
# Global Imports
import ctypes
# Grab a handle on Advapi.dll, User32.dll and Kernel32.dll
a_handle = ctypes.WinDLL("Advapi32.dll")
u_handle = ctypes.WinDLL("User32.dll")
k_handle = ctypes.WinDLL("Kernel32.dll")
# Shortcut to give "All Access" rights to the current process.
# The |... | 33.242604 | 122 | 0.681737 | ## Modify Process Token
# Global Imports
import ctypes
from ctypes.wintypes import DWORD
# Grab a handle on Advapi.dll, User32.dll and Kernel32.dll
a_handle = ctypes.WinDLL("Advapi32.dll")
u_handle = ctypes.WinDLL("User32.dll")
k_handle = ctypes.WinDLL("Kernel32.dll")
# Shortcut to give "All Access" right... | 0 | 0 | 0 | 478 | 0 | 0 | 0 | 12 | 123 |
e176e8f1cee58c069ecdbb88cf40ac41ba41119d | 709 | py | Python | Taller_Estructuras_de_Control_Secuenciales/Ejercicio_15.py | LeonardoJimenezUbaque/Algoritmos_y_Programacion_C4_G2 | 7bb6fffa7d5d99ac2b5c0a3724f97a84e145bbb7 | [
"MIT"
] | null | null | null | Taller_Estructuras_de_Control_Secuenciales/Ejercicio_15.py | LeonardoJimenezUbaque/Algoritmos_y_Programacion_C4_G2 | 7bb6fffa7d5d99ac2b5c0a3724f97a84e145bbb7 | [
"MIT"
] | null | null | null | Taller_Estructuras_de_Control_Secuenciales/Ejercicio_15.py | LeonardoJimenezUbaque/Algoritmos_y_Programacion_C4_G2 | 7bb6fffa7d5d99ac2b5c0a3724f97a84e145bbb7 | [
"MIT"
] | null | null | null | """
Ejercicio 15
Dados como datos el precio final pagado por un producto y su precio de venta al pblico (PVP), se requiere
que calcule y muestre el porcentaje de descuento que le ha sido aplicado.
Entradas
Precio_Final_Pagado --> Float --> P_F
Precio_Venta_Publico --> Float --> P_V_P
Salidas
Porcentaje_Descuento --> ... | 32.227273 | 106 | 0.744711 | """
Ejercicio 15
Dados como datos el precio final pagado por un producto y su precio de venta al público (PVP), se requiere
que calcule y muestre el porcentaje de descuento que le ha sido aplicado.
Entradas
Precio_Final_Pagado --> Float --> P_F
Precio_Venta_Publico --> Float --> P_V_P
Salidas
Porcentaje_Descuento -->... | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ffd083841407fefac167ebacd9988307729e3322 | 3,021 | py | Python | source/brailleInput.py | davidhilton936/clone | 0889f95ef2d74f43b2c98f4d45bf09b0c605f1de | [
"bzip2-1.0.6"
] | 1 | 2019-10-26T04:13:35.000Z | 2019-10-26T04:13:35.000Z | source/brailleInput.py | davidhilton936/clone | 0889f95ef2d74f43b2c98f4d45bf09b0c605f1de | [
"bzip2-1.0.6"
] | 1 | 2017-08-08T00:44:17.000Z | 2017-08-08T00:44:17.000Z | source/brailleInput.py | davidhilton936/clone | 0889f95ef2d74f43b2c98f4d45bf09b0c605f1de | [
"bzip2-1.0.6"
] | 1 | 2020-04-30T19:14:00.000Z | 2020-04-30T19:14:00.000Z | #brailleInput.py
#A part of NonVisual Desktop Access (NVDA)
#This file is covered by the GNU General Public License.
#See the file COPYING for more details.
#Copyright (C) 2012-2013 NV Access Limited, Rui Batista
"""Framework for handling braille input from the user.
All braille input is represented by a {BrailleInput... | 28.5 | 86 | 0.709037 | #brailleInput.py
#A part of NonVisual Desktop Access (NVDA)
#This file is covered by the GNU General Public License.
#See the file COPYING for more details.
#Copyright (C) 2012-2013 NV Access Limited, Rui Batista
import os.path
import louis
import braille
import config
from logHandler import log
import winUser
import ... | 0 | 0 | 0 | 2,131 | 0 | 111 | 0 | -38 | 247 |
927514758cfa6089deece09c9319a8bda7feab28 | 1,064 | py | Python | CEGO/testFunctions/DTLZ8.py | napa-jmm/CEGO | 172d511133a608ca5bf265d9ebd2937b8a171b3e | [
"MIT"
] | 6 | 2018-07-18T06:38:42.000Z | 2021-11-17T21:01:40.000Z | CEGO/testFunctions/DTLZ8.py | napa-jmm/CEGO | 172d511133a608ca5bf265d9ebd2937b8a171b3e | [
"MIT"
] | null | null | null | CEGO/testFunctions/DTLZ8.py | napa-jmm/CEGO | 172d511133a608ca5bf265d9ebd2937b8a171b3e | [
"MIT"
] | 6 | 2018-10-15T09:35:24.000Z | 2021-05-08T13:40:19.000Z | # -*- coding: utf-8 -*-
"""
Created on Mon Mar 5 11:06:16 2018
@author: r.dewinter
"""
#import matplotlib.pyplot as plt
#from mpl_toolkits.mplot3d import Axes3D
#rngMin = np.zeros(9)
#rngMax = np.ones(9)
#nVar = 9
#ref = np.array([1,1,1])
#parameters = np.empty((200,9))
#objectives = np.empty((200,... | 23.644444 | 72 | 0.56391 | # -*- coding: utf-8 -*-
"""
Created on Mon Mar 5 11:06:16 2018
@author: r.dewinter
"""
import numpy as np
def DTLZ8(x):
f1 = 1/3*np.sum(x[:3])
f2 = 1/3*np.sum(x[3:6])
f3 = 1/3*np.sum(x[6:])
g1 = f3+4*f1-1
g2 = f3+4*f2-1
g3 = 2*f3+f1+f2-1
return np.array([f... | 0 | 0 | 0 | 0 | 0 | 217 | 0 | -3 | 48 |
583b74e40fc0ea58b61f300685cd5e11e60972b3 | 2,747 | py | Python | vectorize.py | orestislabridis/X-SPELLS | 4285888ef2c9cc5ef59756d363319599d8599e69 | [
"Apache-2.0"
] | 1 | 2021-01-09T09:21:02.000Z | 2021-01-09T09:21:02.000Z | vectorize.py | orestislabridis/X-SPELLS | 4285888ef2c9cc5ef59756d363319599d8599e69 | [
"Apache-2.0"
] | 1 | 2020-11-26T14:34:08.000Z | 2021-02-03T12:48:35.000Z | vectorize.py | orestislampridis/X-SPELLS | 4285888ef2c9cc5ef59756d363319599d8599e69 | [
"Apache-2.0"
] | null | null | null | """
Helper script used for turning text into tf-idf vector for the knn experiment
"""
import re
import numpy
from nltk import pos_tag
from nltk.stem import SnowballStemmer
from nltk.stem import WordNetLemmatizer
from nltk.tokenize import word_tokenize
def cleanText(text, lemmatize, stemmer):
"""Me... | 32.317647 | 112 | 0.625774 | """
Helper script used for turning text into tf-idf vector for the knn experiment
"""
import re
import numpy
from nltk import pos_tag
from nltk.corpus import stopwords
from nltk.corpus import wordnet
from nltk.stem import SnowballStemmer
from nltk.stem import WordNetLemmatizer
from nltk.tokenize import wo... | 0 | 0 | 0 | 0 | 0 | 1,151 | 0 | 60 | 127 |
1de486ee204679bd8893f40a41b6333021fd84bd | 81 | py | Python | ichnaea/tests/__init__.py | crankycoder/ichnaea | fb54000e92c605843b7a41521e36fd648c11ae94 | [
"Apache-2.0"
] | 1 | 2018-01-18T16:02:43.000Z | 2018-01-18T16:02:43.000Z | ichnaea/tests/__init__.py | crankycoder/ichnaea | fb54000e92c605843b7a41521e36fd648c11ae94 | [
"Apache-2.0"
] | null | null | null | ichnaea/tests/__init__.py | crankycoder/ichnaea | fb54000e92c605843b7a41521e36fd648c11ae94 | [
"Apache-2.0"
] | 1 | 2018-01-19T17:56:48.000Z | 2018-01-19T17:56:48.000Z | import os.path
DATA_DIRECTORY = os.path.join(os.path.dirname(__file__), 'data')
| 20.25 | 64 | 0.753086 | import os.path
DATA_DIRECTORY = os.path.join(os.path.dirname(__file__), 'data')
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
66bacfd2c886a3e584925a335ad2ea71c33c9b69 | 1,524 | py | Python | algo_test3.py | pflun/learningAlgorithms | 3101e989488dfc8a56f1bf256a1c03a837fe7d97 | [
"MIT"
] | null | null | null | algo_test3.py | pflun/learningAlgorithms | 3101e989488dfc8a56f1bf256a1c03a837fe7d97 | [
"MIT"
] | null | null | null | algo_test3.py | pflun/learningAlgorithms | 3101e989488dfc8a56f1bf256a1c03a837fe7d97 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# test = Solution()
# # print test.lexicographical('apple', 'appld')
# print test.trySet()
test = Solution3()
print test.canFinish([[1, 0], [2, 1], [2, 0]]) | 24.190476 | 63 | 0.489501 | # -*- coding: utf-8 -*-
class Solution(object):
# 静态变量
TAG = "Person"
def lexicographical(self, a, b):
for i in range(5, -1, -1):
print i
matrix = [
[1, 5, 9],
[10, 11, 13],
[12, 13, 15]
],
r... | 12 | 0 | 0 | 1,269 | 0 | 0 | 0 | 0 | 68 |
8d4eba3c2060dccdffd308731cd2c7d3744a9820 | 2,751 | py | Python | terrascript/resource/phillbaker/elasticsearch.py | mjuenema/python-terrascript | 6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d | [
"BSD-2-Clause"
] | 507 | 2017-07-26T02:58:38.000Z | 2022-01-21T12:35:13.000Z | terrascript/resource/phillbaker/elasticsearch.py | mjuenema/python-terrascript | 6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d | [
"BSD-2-Clause"
] | 135 | 2017-07-20T12:01:59.000Z | 2021-10-04T22:25:40.000Z | terrascript/resource/phillbaker/elasticsearch.py | mjuenema/python-terrascript | 6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d | [
"BSD-2-Clause"
] | 81 | 2018-02-20T17:55:28.000Z | 2022-01-31T07:08:40.000Z | # terrascript/resource/phillbaker/elasticsearch.py
# Automatically generated by tools/makecode.py (24-Sep-2021 15:15:48 UTC)
__all__ = [
"elasticsearch_component_template",
"elasticsearch_composable_index_template",
"elasticsearch_index",
"elasticsearch_index_template",
"ela... | 22.365854 | 74 | 0.811705 | # terrascript/resource/phillbaker/elasticsearch.py
# Automatically generated by tools/makecode.py (24-Sep-2021 15:15:48 UTC)
import terrascript
class elasticsearch_component_template(terrascript.Resource):
pass
class elasticsearch_composable_index_template(terrascript.Resource):
pass
class elasticsearch_i... | 0 | 0 | 0 | 1,123 | 0 | 0 | 0 | -3 | 551 |
5d8d397e6a8ca3fdf09cc0422991f6bb28d600a0 | 3,758 | py | Python | ex4/4_2_binary_classification/4_2_binary_classification.py | Jeilef/FoSA | d4b53bd687d06af80f91d4c7c96c1ef97708933f | [
"MIT"
] | null | null | null | ex4/4_2_binary_classification/4_2_binary_classification.py | Jeilef/FoSA | d4b53bd687d06af80f91d4c7c96c1ef97708933f | [
"MIT"
] | null | null | null | ex4/4_2_binary_classification/4_2_binary_classification.py | Jeilef/FoSA | d4b53bd687d06af80f91d4c7c96c1ef97708933f | [
"MIT"
] | null | null | null | import argparse
import pandas as pd
from scipy.io import arff
# to get the summary both logistic-regression and support-vector-machines have to be run once with the output errors option
if __name__ == "__main__":
parser = argparse.ArgumentParser('FSA')
parser.add_argument('--type', type=str, help='which... | 37.207921 | 135 | 0.685737 | import argparse, os
from sklearn.linear_model import LogisticRegression
from sklearn.svm import SVR
import pandas as pd
from scipy.io import arff
def train_svm(train_dataset):
cols = train_dataset.columns.values
x = train_dataset[cols[:-1]].to_numpy()
y = train_dataset[cols[-1]].to_numpy()
y = [i[0] f... | 0 | 0 | 0 | 0 | 0 | 2,246 | 0 | 40 | 158 |
327fc17dee8a883eb99c23c7dc2a82bf1781a06f | 757 | py | Python | ElectrospraySimulator/GUI_scripts/PredefinedFuns.py | DavidPoves/Liquid-meniscus-in-the-ionic-regime-simulator | 9a8cfce64ae2adb06c39418fdbbb187c75431c69 | [
"MIT"
] | null | null | null | ElectrospraySimulator/GUI_scripts/PredefinedFuns.py | DavidPoves/Liquid-meniscus-in-the-ionic-regime-simulator | 9a8cfce64ae2adb06c39418fdbbb187c75431c69 | [
"MIT"
] | null | null | null | ElectrospraySimulator/GUI_scripts/PredefinedFuns.py | DavidPoves/Liquid-meniscus-in-the-ionic-regime-simulator | 9a8cfce64ae2adb06c39418fdbbb187c75431c69 | [
"MIT"
] | null | null | null |
"""
Within this file, the predefined functions appearing in the main menu may be defined. If a new one is added, it must be
added to the attributes self.predef_funs_show and self.predef_funs of the PredefinedFunctions class from the MainMenu.py
file. Moreover, these functions must be added to the self.save method from... | 24.419355 | 120 | 0.660502 | import numpy as np
"""
Within this file, the predefined functions appearing in the main menu may be defined. If a new one is added, it must be
added to the attributes self.predef_funs_show and self.predef_funs of the PredefinedFunctions class from the MainMenu.py
file. Moreover, these functions must be added to the se... | 0 | 0 | 0 | 0 | 0 | 297 | 0 | -3 | 114 |
727e5a69e567a4226eac8c6955f63566c5e67590 | 1,284 | py | Python | algorithm/graph_theory/connected_cell/solution.py | delaanthonio/hackerrank | b1f2e1e93b3260be90eb3b8cb8e86e9a700acf27 | [
"MIT"
] | 1 | 2017-07-02T01:35:39.000Z | 2017-07-02T01:35:39.000Z | algorithm/graph_theory/connected_cell/solution.py | delaanthonio/hackerrank | b1f2e1e93b3260be90eb3b8cb8e86e9a700acf27 | [
"MIT"
] | null | null | null | algorithm/graph_theory/connected_cell/solution.py | delaanthonio/hackerrank | b1f2e1e93b3260be90eb3b8cb8e86e9a700acf27 | [
"MIT"
] | 1 | 2018-04-03T15:11:56.000Z | 2018-04-03T15:11:56.000Z | #!/usr/bin/env python3
"""
:problem: https://www.hackerrank.com/challenges/ctci-connected-cell-in-a-grid/problem
"""
from typing import Tuple
Cell = Tuple[int, int]
if __name__ == '__main__':
main()
| 24.226415 | 85 | 0.492212 | #!/usr/bin/env python3
"""
:problem: https://www.hackerrank.com/challenges/ctci-connected-cell-in-a-grid/problem
"""
from typing import List, Set, Tuple
Cell = Tuple[int, int]
def dfs_region(grid: List[List[int]], visited: Set[Cell], start: Cell) -> int:
area = 0
if start in visited:
return 1
ce... | 0 | 0 | 0 | 0 | 0 | 1,018 | 0 | 11 | 46 |
bfb08d3994e7214fb72cf9fbaa7086621a4d8da3 | 4,713 | py | Python | FC.py | mahootiha-maryam/DL-for-image-analysis | 2e645341a6d3c54b2dbe31a04f96c2a06a5793c9 | [
"Apache-2.0"
] | null | null | null | FC.py | mahootiha-maryam/DL-for-image-analysis | 2e645341a6d3c54b2dbe31a04f96c2a06a5793c9 | [
"Apache-2.0"
] | null | null | null | FC.py | mahootiha-maryam/DL-for-image-analysis | 2e645341a6d3c54b2dbe31a04f96c2a06a5793c9 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
'''
This is a fully connected neural network.
It contains data batching , using Relu activation function,
using adam optimizer and dropout for overfitting.
'''
import torch
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import sklearn
data = pd.read_csv('bike_sharing.c... | 30.406452 | 97 | 0.663484 | # -*- coding: utf-8 -*-
'''
This is a fully connected neural network.
It contains data batching , using Relu activation function,
using adam optimizer and dropout for overfitting.
'''
import torch
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import sklearn
data = pd.read_csv('bike_sharing.c... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9b0433912348ba45b8e9413dd40fe8c371f9ea92 | 11,956 | py | Python | HLTrigger/Configuration/python/HLT_75e33/modules/hltPhase2L3MuonsNoID_cfi.py | PKUfudawei/cmssw | 8fbb5ce74398269c8a32956d7c7943766770c093 | [
"Apache-2.0"
] | 1 | 2021-11-30T16:24:46.000Z | 2021-11-30T16:24:46.000Z | HLTrigger/Configuration/python/HLT_75e33/modules/hltPhase2L3MuonsNoID_cfi.py | PKUfudawei/cmssw | 8fbb5ce74398269c8a32956d7c7943766770c093 | [
"Apache-2.0"
] | 4 | 2021-11-29T13:57:56.000Z | 2022-03-29T06:28:36.000Z | HLTrigger/Configuration/python/HLT_75e33/modules/hltPhase2L3MuonsNoID_cfi.py | PKUfudawei/cmssw | 8fbb5ce74398269c8a32956d7c7943766770c093 | [
"Apache-2.0"
] | 1 | 2021-11-30T16:16:05.000Z | 2021-11-30T16:16:05.000Z | import FWCore.ParameterSet.Config as cms
hltPhase2L3MuonsNoID = cms.EDProducer("MuonIdProducer",
CaloExtractorPSet = cms.PSet(
CenterConeOnCalIntersection = cms.bool(False),
ComponentName = cms.string('CaloExtractorByAssociator'),
DR_Max = cms.double(1.0),
DR_Veto_E = cms.double(0.0... | 43.794872 | 128 | 0.610572 | import FWCore.ParameterSet.Config as cms
hltPhase2L3MuonsNoID = cms.EDProducer("MuonIdProducer",
CaloExtractorPSet = cms.PSet(
CenterConeOnCalIntersection = cms.bool(False),
ComponentName = cms.string('CaloExtractorByAssociator'),
DR_Max = cms.double(1.0),
DR_Veto_E = cms.double(0.0... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
932abde0780a030533a6b3666904bc58b1662fa8 | 754 | py | Python | 01. Searching & Sorting/Python files/Insertion_sort.py | Ansh-cell/Data-structure-Algorithms-using-Python | 2074bd1aece7ea95a8ae12bd3e4de8139711eba1 | [
"MIT"
] | 2 | 2021-07-06T21:27:33.000Z | 2021-08-24T14:28:34.000Z | 01. Searching & Sorting/Python files/Insertion_sort.py | Ansh-cell/Data-structure-Algorithms-using-Python | 2074bd1aece7ea95a8ae12bd3e4de8139711eba1 | [
"MIT"
] | null | null | null | 01. Searching & Sorting/Python files/Insertion_sort.py | Ansh-cell/Data-structure-Algorithms-using-Python | 2074bd1aece7ea95a8ae12bd3e4de8139711eba1 | [
"MIT"
] | null | null | null |
arr = [2, 4, 1, 2, 8, 3]
insertionSort(arr)
print(arr) | 47.125 | 108 | 0.600796 | def insertionSort(arr): # argument: (arr) --> arr = array / list
length = len(arr) # find the length of array
for i in range(1, length): # starting from 1st index till end
temp = arr[i] # store the value of ith index in temp so it can be access later
j = i - 1 # as we are starting from 1st... | 0 | 0 | 0 | 0 | 0 | 676 | 0 | 0 | 22 |
469949c76743edf2d55f59e5b288ae57e2e866c5 | 70,296 | py | Python | intensio/examples/python/intermediate/output/basicRAT-example/ItAvGNeiuyvPMOGsZIzXIVBRyHPHRAwkpnsoyvPsfARqNqWfJInnIyGCFSGxjyC.py | Warlockk/Intensio-Obfuscator | befaf1cfd2f7320266f07ef036542413317b3d9b | [
"MIT"
] | 1 | 2020-02-25T10:54:44.000Z | 2020-02-25T10:54:44.000Z | intensio/examples/python/intermediate/output/basicRAT-example/ItAvGNeiuyvPMOGsZIzXIVBRyHPHRAwkpnsoyvPsfARqNqWfJInnIyGCFSGxjyC.py | Warlockk/Intensio-Obfuscator | befaf1cfd2f7320266f07ef036542413317b3d9b | [
"MIT"
] | null | null | null | intensio/examples/python/intermediate/output/basicRAT-example/ItAvGNeiuyvPMOGsZIzXIVBRyHPHRAwkpnsoyvPsfARqNqWfJInnIyGCFSGxjyC.py | Warlockk/Intensio-Obfuscator | befaf1cfd2f7320266f07ef036542413317b3d9b | [
"MIT"
] | null | null | null | #!/usr/bin/env python
FjRNtSCJtxQIHzHCBANyvSDFfkHSAoEHzzByCQCtzEQRIPEGztHSpPBmIAjBJFF = 'RXLQksAGmIIuwhBJUptxVuytBrDBAdGQAQvkSrGtgiSFnGSZospnORAnCEZHCBz'
zmNDzvGHuIEXFHBBtGtCEpxpAQSFvzsESQMwGFYFyGQyEUBBoMCOCFPCRARREmS = 'RICsbwNkCOqPrHxHGDwjHTJCAhHPGiRZSFzrFITzFLmZFDDAuBRtAxtkQzDUuGg'
xJOxLDDlmqmAmyPHrDJSJSCFCitymFVQqv... | 126.431655 | 278 | 0.865753 | #!/usr/bin/env python
FjRNtSCJtxQIHzHCBANyvSDFfkHSAoEHzzByCQCtzEQRIPEGztHSpPBmIAjBJFF = 'RXLQksAGmIIuwhBJUptxVuytBrDBAdGQAQvkSrGtgiSFnGSZospnORAnCEZHCBz'
zmNDzvGHuIEXFHBBtGtCEpxpAQSFvzsESQMwGFYFyGQyEUBBoMCOCFPCRARREmS = 'RICsbwNkCOqPrHxHGDwjHTJCAhHPGiRZSFzrFITzFLmZFDDAuBRtAxtkQzDUuGg'
xJOxLDDlmqmAmyPHrDJSJSCFCitymFVQqv... | 0 | 0 | 0 | 0 | 0 | 34,464 | 0 | 854 | 218 |
c608b7e78abd3f1e926ac291a49708e420d785ec | 2,057 | py | Python | topfarm/examples/data/parque_ficticio_offshore.py | DTUWindEnergy/TopFarm2 | cba70b20431f7a828370447117fe2e7533edf7c2 | [
"MIT"
] | 4 | 2019-02-18T08:46:00.000Z | 2021-01-28T06:35:52.000Z | topfarm/examples/data/parque_ficticio_offshore.py | DTUWindEnergy/TopFarm2 | cba70b20431f7a828370447117fe2e7533edf7c2 | [
"MIT"
] | 1 | 2019-11-26T12:12:12.000Z | 2019-11-26T12:12:12.000Z | topfarm/examples/data/parque_ficticio_offshore.py | DTUWindEnergy/TopFarm2 | cba70b20431f7a828370447117fe2e7533edf7c2 | [
"MIT"
] | 8 | 2019-01-14T09:33:26.000Z | 2021-06-30T11:56:03.000Z | # -*- coding: utf-8 -*-
"""
Created on Mon Jun 28 10:55:12 2021
@author: mikf
"""
import numpy as np
x = np.asarray([262403., 262553., 262703., 262853., 263003., 263153., 263303.,
263453., 263603., 263753., 263903., 264053., 264203., 264353.,
264503., 264653., 264803., 264953., 265103... | 39.557692 | 83 | 0.613515 | # -*- coding: utf-8 -*-
"""
Created on Mon Jun 28 10:55:12 2021
@author: mikf
"""
import numpy as np
from py_wake.examples.data.ParqueFicticio import ParqueFicticio_path
from py_wake.site import WaspGridSite
from py_wake.site.xrsite import XRSite
x = np.asarray([262403., 262553., 262703., 262853., 263003., 263153., ... | 0 | 0 | 0 | 497 | 0 | 0 | 0 | 80 | 89 |