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1c32a8a2a1ea62504b0b0a48f589f3eb0e8f8376 | 222 | py | Python | generalapiwrapper/test_SteamworksWrapper.py | ECorpron/APIWrapper | 8fddd5ba9256c56d529faca09fd7e09fcd6a844e | [
"CC0-1.0"
] | null | null | null | generalapiwrapper/test_SteamworksWrapper.py | ECorpron/APIWrapper | 8fddd5ba9256c56d529faca09fd7e09fcd6a844e | [
"CC0-1.0"
] | null | null | null | generalapiwrapper/test_SteamworksWrapper.py | ECorpron/APIWrapper | 8fddd5ba9256c56d529faca09fd7e09fcd6a844e | [
"CC0-1.0"
] | null | null | null | # As mentioned in TestAPIWrapper, I am not familiar with testing api calls
# so this is something that I would like to add in the future.
class TestSteamworksWrapper():
def testGetGameAchievements(self):
pass
| 31.714286 | 74 | 0.752252 |
class TestSteamworksWrapper():
def testGetGameAchievements(self):
pass
| true | true |
1c32aa6e6005e89cd1da77d33f4d806ef0817224 | 1,058 | py | Python | tests/integration/installation_and_upgrade/test_data_consistancy.py | AlexTalker/integrated-manager-for-lustre | 251099e5c776f3c1898af50bb7cc77924c7cf7c7 | [
"MIT"
] | 1 | 2021-02-08T16:59:14.000Z | 2021-02-08T16:59:14.000Z | tests/integration/installation_and_upgrade/test_data_consistancy.py | AlexTalker/integrated-manager-for-lustre | 251099e5c776f3c1898af50bb7cc77924c7cf7c7 | [
"MIT"
] | null | null | null | tests/integration/installation_and_upgrade/test_data_consistancy.py | AlexTalker/integrated-manager-for-lustre | 251099e5c776f3c1898af50bb7cc77924c7cf7c7 | [
"MIT"
] | null | null | null | from tests.integration.installation_and_upgrade.test_installation_and_upgrade import TestInstallationAndUpgrade
class TestAllEndPoints(TestInstallationAndUpgrade):
def test_access_all_data_all_endpoints(self):
""" Fetch all the data from all the end points """
# Some end points just can't be fetc... | 39.185185 | 111 | 0.620983 | from tests.integration.installation_and_upgrade.test_installation_and_upgrade import TestInstallationAndUpgrade
class TestAllEndPoints(TestInstallationAndUpgrade):
def test_access_all_data_all_endpoints(self):
end_point_exceptions = [
"/api/help/",
"/api/test_host/",
... | true | true |
1c32ab045b8962e787b6429790061fb8695b5e7f | 82,515 | py | Python | tests/expressions/tests.py | coppfimm/django | 915ac165763cad3fc6a4aff9bc42ac8607b46c4d | [
"CNRI-Python-GPL-Compatible",
"BSD-3-Clause"
] | null | null | null | tests/expressions/tests.py | coppfimm/django | 915ac165763cad3fc6a4aff9bc42ac8607b46c4d | [
"CNRI-Python-GPL-Compatible",
"BSD-3-Clause"
] | null | null | null | tests/expressions/tests.py | coppfimm/django | 915ac165763cad3fc6a4aff9bc42ac8607b46c4d | [
"CNRI-Python-GPL-Compatible",
"BSD-3-Clause"
] | null | null | null | import datetime
import pickle
import unittest
import uuid
from collections import namedtuple
from copy import deepcopy
from decimal import Decimal
from unittest import mock
from django.core.exceptions import FieldError
from django.db import DatabaseError, NotSupportedError, connection
from django.db.models import (
... | 42.402364 | 116 | 0.620408 | import datetime
import pickle
import unittest
import uuid
from collections import namedtuple
from copy import deepcopy
from decimal import Decimal
from unittest import mock
from django.core.exceptions import FieldError
from django.db import DatabaseError, NotSupportedError, connection
from django.db.models import (
... | true | true |
1c32ab08df1cc376afa30d41b2722e1062722afb | 1,248 | py | Python | ampel/aux/SimpleTagFilter.py | mafn/Ampel-core | 744acbf36f0a2ceae7230ceab1350236c1501b57 | [
"BSD-3-Clause"
] | null | null | null | ampel/aux/SimpleTagFilter.py | mafn/Ampel-core | 744acbf36f0a2ceae7230ceab1350236c1501b57 | [
"BSD-3-Clause"
] | null | null | null | ampel/aux/SimpleTagFilter.py | mafn/Ampel-core | 744acbf36f0a2ceae7230ceab1350236c1501b57 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# File: Ampel-core/ampel/aux/SimpleTagFilter.py
# License: BSD-3-Clause
# Author: Jakob van Santen <jakob.van.santen@desy.de>
# Date: 06.12.2021
# Last Modified Date: 06.12.2021
# Last Modified By: Jakob van Santen ... | 35.657143 | 75 | 0.647436 |
from ampel.types import Tag
from ampel.abstract.AbsApplicable import AbsApplicable
from ampel.content.DataPoint import DataPoint
class SimpleTagFilter(AbsApplicable):
require: None | list[Tag] = None
forbid: None | list[Tag] = None
def __init__(self, **kwargs):
super().__init_... | true | true |
1c32ab8dde7a37d392ee659a6ea689faa12727e2 | 39 | py | Python | twistedchecker/test/__init__.py | twisted/twistedchecker | 4a69f3f7d80f2f42d915bc128d4257a2e15804e4 | [
"MIT"
] | 10 | 2015-01-06T14:59:50.000Z | 2021-01-10T19:06:16.000Z | twistedchecker/test/__init__.py | twisted/twistedchecker | 4a69f3f7d80f2f42d915bc128d4257a2e15804e4 | [
"MIT"
] | 76 | 2015-02-07T13:00:22.000Z | 2020-04-14T02:10:37.000Z | twistedchecker/test/__init__.py | twisted/twistedchecker | 4a69f3f7d80f2f42d915bc128d4257a2e15804e4 | [
"MIT"
] | 11 | 2015-05-24T15:55:49.000Z | 2017-10-15T11:34:35.000Z | """
Unit Tests for TwistedChecker.
"""
| 9.75 | 30 | 0.666667 | true | true | |
1c32abaa628bec8a0c59f08ddbef8035e36be06a | 517 | py | Python | tests/test_ipfs_add.py | mathiasfrohlich/blockfrost-python | 4b391a711683732c47fa9183532f14c189b75124 | [
"Apache-2.0"
] | 1 | 2022-01-17T14:26:05.000Z | 2022-01-17T14:26:05.000Z | tests/test_ipfs_add.py | mathiasfrohlich/blockfrost-python | 4b391a711683732c47fa9183532f14c189b75124 | [
"Apache-2.0"
] | null | null | null | tests/test_ipfs_add.py | mathiasfrohlich/blockfrost-python | 4b391a711683732c47fa9183532f14c189b75124 | [
"Apache-2.0"
] | null | null | null | from blockfrost import BlockFrostIPFS, ApiError
from blockfrost.ipfs.add import IPFSObjectResponse
file_path = "README.md"
def test_add(requests_mock):
ipfs = BlockFrostIPFS()
mock_data = {
"name": file_path,
"ipfs_hash": "QmZbHqiCxKEVX7QfijzJTkZiSi3WEVTcvANgNAWzDYgZDr",
"size": 12529... | 30.411765 | 75 | 0.727273 | from blockfrost import BlockFrostIPFS, ApiError
from blockfrost.ipfs.add import IPFSObjectResponse
file_path = "README.md"
def test_add(requests_mock):
ipfs = BlockFrostIPFS()
mock_data = {
"name": file_path,
"ipfs_hash": "QmZbHqiCxKEVX7QfijzJTkZiSi3WEVTcvANgNAWzDYgZDr",
"size": 12529... | true | true |
1c32acc88d168bc376ec29f2eae66ac341eab896 | 18,510 | py | Python | stacker/blueprints/base.py | scrthq/stacker | 3cdfbd543f82d6805435ac9fa2655bf31e436cc4 | [
"BSD-2-Clause"
] | 1 | 2018-07-17T11:23:47.000Z | 2018-07-17T11:23:47.000Z | stacker/blueprints/base.py | scrthq/stacker | 3cdfbd543f82d6805435ac9fa2655bf31e436cc4 | [
"BSD-2-Clause"
] | 2 | 2019-02-05T21:36:05.000Z | 2019-02-08T22:16:42.000Z | stacker/blueprints/base.py | scrthq/stacker | 3cdfbd543f82d6805435ac9fa2655bf31e436cc4 | [
"BSD-2-Clause"
] | 1 | 2020-02-29T04:49:11.000Z | 2020-02-29T04:49:11.000Z | from __future__ import print_function
from __future__ import division
from __future__ import absolute_import
from builtins import str
from past.builtins import basestring
from builtins import object
import copy
import hashlib
import logging
import string
from stacker.util import read_value_from_path
from stacker.variab... | 33.053571 | 107 | 0.622474 | from __future__ import print_function
from __future__ import division
from __future__ import absolute_import
from builtins import str
from past.builtins import basestring
from builtins import object
import copy
import hashlib
import logging
import string
from stacker.util import read_value_from_path
from stacker.variab... | true | true |
1c32ad1b4981abe93c3f66a5517ee15f7662ec65 | 407 | py | Python | Part_3_advanced/m03_date_and_time/date_construct/homework_1_start/main.py | Mikma03/InfoShareacademy_Python_Courses | 3df1008c8c92831bebf1625f960f25b39d6987e6 | [
"MIT"
] | null | null | null | Part_3_advanced/m03_date_and_time/date_construct/homework_1_start/main.py | Mikma03/InfoShareacademy_Python_Courses | 3df1008c8c92831bebf1625f960f25b39d6987e6 | [
"MIT"
] | null | null | null | Part_3_advanced/m03_date_and_time/date_construct/homework_1_start/main.py | Mikma03/InfoShareacademy_Python_Courses | 3df1008c8c92831bebf1625f960f25b39d6987e6 | [
"MIT"
] | null | null | null | from new_movies import movies_ranking
from new_movies.random_data_utility import random_generator
def run_example():
some_movies = random_generator.generate_random_movies(movies_number=15)
movies_ranking.print_top_movies(some_movies)
# movies_ranking.print_top_movies(some_movies, limit=12)
# movies_ra... | 29.071429 | 75 | 0.805897 | from new_movies import movies_ranking
from new_movies.random_data_utility import random_generator
def run_example():
some_movies = random_generator.generate_random_movies(movies_number=15)
movies_ranking.print_top_movies(some_movies)
if __name__ == "__main__":
run_example()
| true | true |
1c32ad3d236fe6ddd50443cf1f6b99698ac7bdc6 | 2,958 | py | Python | test/loader/loader.py | ameserole/Naumachia | dc13c33c5fcf053c74dfce8351a696d28857fd9d | [
"MIT"
] | null | null | null | test/loader/loader.py | ameserole/Naumachia | dc13c33c5fcf053c74dfce8351a696d28857fd9d | [
"MIT"
] | null | null | null | test/loader/loader.py | ameserole/Naumachia | dc13c33c5fcf053c74dfce8351a696d28857fd9d | [
"MIT"
] | null | null | null | from urllib.parse import urljoin
from db import Db
import requests
import os
import re
import json
import logging
import random
import string
import redis
import yaml
testcn_pattern = r'test[a-zA-Z]{32}'
script_dir = os.path.dirname(os.path.realpath(__file__))
REGISTRAR_URL = os.environ.get('REGISTRAR_URL', 'http://l... | 34.395349 | 113 | 0.644016 | from urllib.parse import urljoin
from db import Db
import requests
import os
import re
import json
import logging
import random
import string
import redis
import yaml
testcn_pattern = r'test[a-zA-Z]{32}'
script_dir = os.path.dirname(os.path.realpath(__file__))
REGISTRAR_URL = os.environ.get('REGISTRAR_URL', 'http://l... | true | true |
1c32ae12ebcc78a1b009081906dc246c710134e2 | 5,914 | py | Python | tests/pytests/unit/modules/virt/conftest.py | dirkmueller/salt | f9558f82307a81d29b083c1ba3d713d0bb239354 | [
"Apache-2.0"
] | null | null | null | tests/pytests/unit/modules/virt/conftest.py | dirkmueller/salt | f9558f82307a81d29b083c1ba3d713d0bb239354 | [
"Apache-2.0"
] | null | null | null | tests/pytests/unit/modules/virt/conftest.py | dirkmueller/salt | f9558f82307a81d29b083c1ba3d713d0bb239354 | [
"Apache-2.0"
] | null | null | null | import pytest
import salt.modules.config as config
import salt.modules.virt as virt
from salt._compat import ElementTree as ET
from tests.support.mock import MagicMock
class LibvirtMock(MagicMock): # pylint: disable=too-many-ancestors
"""
Libvirt library mock
"""
class virDomain(MagicMock):
... | 30.802083 | 84 | 0.611769 | import pytest
import salt.modules.config as config
import salt.modules.virt as virt
from salt._compat import ElementTree as ET
from tests.support.mock import MagicMock
class LibvirtMock(MagicMock):
class virDomain(MagicMock):
class libvirtError(Exception):
def __init__(self, msg):
sup... | true | true |
1c32b056b0adb053ca4604c722481eb2fb2b6a1e | 2,233 | py | Python | tests/slice_test.py | yohplala/vaex | ca7927a19d259576ca0403ee207a597aaef6adc2 | [
"MIT"
] | 1 | 2020-11-27T08:49:18.000Z | 2020-11-27T08:49:18.000Z | tests/slice_test.py | yohplala/vaex | ca7927a19d259576ca0403ee207a597aaef6adc2 | [
"MIT"
] | null | null | null | tests/slice_test.py | yohplala/vaex | ca7927a19d259576ca0403ee207a597aaef6adc2 | [
"MIT"
] | null | null | null | import pytest
from common import *
def test_slice_expression(df):
assert df.x[:2].tolist() == df[:2].x.tolist()
assert df.x[2:6].tolist() == df[2:6].x.tolist()
assert df.x[-3:].tolist() == df[-3:].x.tolist()
# we don't support non 1 steps
# assert df.x[::-3].tolist() == df[::-3].x.tolist()
def t... | 29 | 87 | 0.622929 | import pytest
from common import *
def test_slice_expression(df):
assert df.x[:2].tolist() == df[:2].x.tolist()
assert df.x[2:6].tolist() == df[2:6].x.tolist()
assert df.x[-3:].tolist() == df[-3:].x.tolist()
# assert df.x[::-3].tolist() == df[::-3].x.tolist()
def test_slice_against_numpy(df):
... | true | true |
1c32b07e30bd3542e714624d35aa16df31270ecc | 1,790 | py | Python | Iris_Deploy.py | DanielCalimayor/DS-Unit-3-Sprint-3-Productization-and-Cloud | d1479de0badb674daf9cbb8b5f738d214de831ed | [
"MIT"
] | null | null | null | Iris_Deploy.py | DanielCalimayor/DS-Unit-3-Sprint-3-Productization-and-Cloud | d1479de0badb674daf9cbb8b5f738d214de831ed | [
"MIT"
] | null | null | null | Iris_Deploy.py | DanielCalimayor/DS-Unit-3-Sprint-3-Productization-and-Cloud | d1479de0badb674daf9cbb8b5f738d214de831ed | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# In[ ]:
#pip install pickle-mixin
# In[1]:
#import the basics but important libraries
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
#Sklearn Preprocessing
from sklearn.preprocessing import LabelEncoder
from sklearn.model_selec... | 10.170455 | 138 | 0.672626 |
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.preprocessing import LabelEncoder
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score, classification_report
from sklearn.tree import DecisionTreeClassifie... | true | true |
1c32b0c57831827048b8dbacc63ac057b4af9b30 | 17,326 | py | Python | homeassistant/components/mqtt/light/schema_json.py | boojew/home-assistant | 697c331903f8a440a4ce324a4fb0788351dc86c3 | [
"Apache-2.0"
] | 1 | 2019-05-19T08:05:02.000Z | 2019-05-19T08:05:02.000Z | homeassistant/components/mqtt/light/schema_json.py | boojew/home-assistant | 697c331903f8a440a4ce324a4fb0788351dc86c3 | [
"Apache-2.0"
] | 6 | 2021-02-08T21:02:40.000Z | 2022-03-12T00:52:16.000Z | homeassistant/components/mqtt/light/schema_json.py | boojew/home-assistant | 697c331903f8a440a4ce324a4fb0788351dc86c3 | [
"Apache-2.0"
] | null | null | null | """
Support for MQTT JSON lights.
For more details about this platform, please refer to the documentation at
https://home-assistant.io/components/light.mqtt_json/
"""
import json
import logging
import voluptuous as vol
from homeassistant.components import mqtt
from homeassistant.components.light import (
ATTR_BR... | 36.246862 | 79 | 0.616588 | import json
import logging
import voluptuous as vol
from homeassistant.components import mqtt
from homeassistant.components.light import (
ATTR_BRIGHTNESS, ATTR_COLOR_TEMP, ATTR_EFFECT, ATTR_FLASH, ATTR_HS_COLOR,
ATTR_TRANSITION, ATTR_WHITE_VALUE, FLASH_LONG, FLASH_SHORT,
SUPPORT_BRIGHTNESS, SUPPORT_COLOR... | true | true |
1c32b184f46700426a11d5fd1157683e7e2958c8 | 5,913 | py | Python | tfx/extensions/google_cloud_ai_platform/tuner/executor_test.py | avelez93/tfx | 75fbb6a7d50e99138609be3ca4c3a204a13a2195 | [
"Apache-2.0"
] | null | null | null | tfx/extensions/google_cloud_ai_platform/tuner/executor_test.py | avelez93/tfx | 75fbb6a7d50e99138609be3ca4c3a204a13a2195 | [
"Apache-2.0"
] | null | null | null | tfx/extensions/google_cloud_ai_platform/tuner/executor_test.py | avelez93/tfx | 75fbb6a7d50e99138609be3ca4c3a204a13a2195 | [
"Apache-2.0"
] | 1 | 2020-12-13T22:07:53.000Z | 2020-12-13T22:07:53.000Z | # Copyright 2020 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 required by applicable law or a... | 38.647059 | 100 | 0.70066 |
import copy
import os
from typing import Any, Dict
from unittest import mock
import tensorflow as tf
from tfx.extensions.google_cloud_ai_platform import constants
from tfx.extensions.google_cloud_ai_platform.trainer import executor as ai_platform_trainer_executor
from tfx.extensions.google_cloud_ai_platf... | true | true |
1c32b1ab805272c3b7c8593a9b1c385e93812605 | 8,377 | py | Python | homeassistant/components/enigma2/media_player.py | learn-home-automation/core | c5d8792c3487e9b418b1e7d623bf59e7dbddd6b7 | [
"Apache-2.0"
] | 22,481 | 2020-03-02T13:09:59.000Z | 2022-03-31T23:34:28.000Z | homeassistant/components/enigma2/media_player.py | jagadeeshvenkatesh/core | 1bd982668449815fee2105478569f8e4b5670add | [
"Apache-2.0"
] | 31,101 | 2020-03-02T13:00:16.000Z | 2022-03-31T23:57:36.000Z | homeassistant/components/enigma2/media_player.py | jagadeeshvenkatesh/core | 1bd982668449815fee2105478569f8e4b5670add | [
"Apache-2.0"
] | 11,411 | 2020-03-02T14:19:20.000Z | 2022-03-31T22:46:07.000Z | """Support for Enigma2 media players."""
from openwebif.api import CreateDevice
import voluptuous as vol
from homeassistant.components.media_player import MediaPlayerEntity
from homeassistant.components.media_player.const import (
MEDIA_TYPE_TVSHOW,
SUPPORT_NEXT_TRACK,
SUPPORT_PAUSE,
SUPPORT_PREVIOUS_T... | 30.797794 | 85 | 0.676256 | from openwebif.api import CreateDevice
import voluptuous as vol
from homeassistant.components.media_player import MediaPlayerEntity
from homeassistant.components.media_player.const import (
MEDIA_TYPE_TVSHOW,
SUPPORT_NEXT_TRACK,
SUPPORT_PAUSE,
SUPPORT_PREVIOUS_TRACK,
SUPPORT_SELECT_SOURCE,
SUPP... | true | true |
1c32b21103d9965df8d0584bef0eb83f78080ed7 | 2,581 | py | Python | cuda/onegram_rrnn.py | dodgejesse/rational-recurrences | 4d126903399cc4a86734733d037a9bb7c5dda93d | [
"MIT"
] | 7 | 2019-09-09T06:25:20.000Z | 2020-03-21T13:53:43.000Z | cuda/onegram_rrnn.py | dodgejesse/rational-recurrences | 4d126903399cc4a86734733d037a9bb7c5dda93d | [
"MIT"
] | 1 | 2020-12-13T14:26:03.000Z | 2020-12-13T14:26:03.000Z | cuda/onegram_rrnn.py | dodgejesse/rational-recurrences | 4d126903399cc4a86734733d037a9bb7c5dda93d | [
"MIT"
] | 1 | 2019-11-24T12:47:21.000Z | 2019-11-24T12:47:21.000Z | ONEGRAM_RRNN = """
extern "C" {
__global__ void rrnn_fwd(
const float * __restrict__ u,
const float * __restrict__ c1_init,
const int len,
const int batch,
const int dim,
const int k,
floa... | 29.329545 | 82 | 0.43859 | ONEGRAM_RRNN = """
extern "C" {
__global__ void rrnn_fwd(
const float * __restrict__ u,
const float * __restrict__ c1_init,
const int len,
const int batch,
const int dim,
const int k,
floa... | true | true |
1c32b265d90b33b936a3b38914a3e461f1359324 | 20,144 | py | Python | src/provisioning/models.py | litedesk/litedesk-webserver-provision | 1576b9d3e5e2e64d1136d276767c2710cfb1938f | [
"Apache-2.0"
] | 1 | 2016-01-18T08:19:22.000Z | 2016-01-18T08:19:22.000Z | src/provisioning/models.py | litedesk/litedesk-webserver-provision | 1576b9d3e5e2e64d1136d276767c2710cfb1938f | [
"Apache-2.0"
] | null | null | null | src/provisioning/models.py | litedesk/litedesk-webserver-provision | 1576b9d3e5e2e64d1136d276767c2710cfb1938f | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 2014, Deutsche Telekom AG - Laboratories (T-Labs)
#
# 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... | 33.131579 | 90 | 0.633191 |
import os
import logging
import datetime
from urlparse import urlparse
from autoslug import AutoSlugField
from django.conf import settings
from django.core.mail import send_mail
from django.db import models
from django.contrib.contenttypes.fields import GenericForeignKey
from django.contrib.contenttyp... | false | true |
1c32b2826520d61f621a1b187296b68c17e23093 | 659 | py | Python | src/brouwers/conf/travis.py | modelbrouwers/modelbrouwers | e0ba4819bf726d6144c0a648fdd4731cdc098a52 | [
"MIT"
] | 6 | 2015-03-03T13:23:07.000Z | 2021-12-19T18:12:41.000Z | src/brouwers/conf/travis.py | modelbrouwers/modelbrouwers | e0ba4819bf726d6144c0a648fdd4731cdc098a52 | [
"MIT"
] | 95 | 2015-02-07T00:55:39.000Z | 2022-02-08T20:22:05.000Z | src/brouwers/conf/travis.py | modelbrouwers/modelbrouwers | e0ba4819bf726d6144c0a648fdd4731cdc098a52 | [
"MIT"
] | 2 | 2016-03-22T16:53:26.000Z | 2019-02-09T22:46:04.000Z | import os
os.environ.setdefault("SECRET_KEY", "travis-key")
os.environ.setdefault("IS_HTTPS", "no")
os.environ.setdefault("DB_NAME", "brouwers")
os.environ.setdefault("DB_USER", "postgres")
os.environ.setdefault("DB_PASSWORD", "")
from .base import * # noqa isort:skip
# Secrets
DATABASES["mysql"] = {"ENGINE": "dja... | 22.724138 | 81 | 0.734446 | import os
os.environ.setdefault("SECRET_KEY", "travis-key")
os.environ.setdefault("IS_HTTPS", "no")
os.environ.setdefault("DB_NAME", "brouwers")
os.environ.setdefault("DB_USER", "postgres")
os.environ.setdefault("DB_PASSWORD", "")
from .base import *
DATABASES["mysql"] = {"ENGINE": "django.db.backends.sqlite3", ... | true | true |
1c32b43e4c148db4b606236f42a2f2577905a7e2 | 6,359 | py | Python | aioarangodb/client.py | ckdanny/aioarangodb | 432ac3701c1ca32bed2021ef510c724cd543f39f | [
"MIT"
] | 17 | 2020-06-11T20:26:41.000Z | 2021-04-03T19:07:57.000Z | aioarangodb/client.py | ckdanny/aioarangodb | 432ac3701c1ca32bed2021ef510c724cd543f39f | [
"MIT"
] | 5 | 2021-06-24T13:31:16.000Z | 2022-03-09T11:28:04.000Z | aioarangodb/client.py | ckdanny/aioarangodb | 432ac3701c1ca32bed2021ef510c724cd543f39f | [
"MIT"
] | 4 | 2020-09-12T11:52:41.000Z | 2021-04-21T19:30:00.000Z | from __future__ import absolute_import, unicode_literals
import json
from six import string_types
__all__ = ['ArangoClient']
from .connection import (
BasicConnection,
JWTConnection,
JWTSuperuserConnection
)
from .database import StandardDatabase
from .exceptions import ServerConnectionError
from .http ... | 36.130682 | 79 | 0.611731 | from __future__ import absolute_import, unicode_literals
import json
from six import string_types
__all__ = ['ArangoClient']
from .connection import (
BasicConnection,
JWTConnection,
JWTSuperuserConnection
)
from .database import StandardDatabase
from .exceptions import ServerConnectionError
from .http ... | true | true |
1c32b4965cd39a3830378f9064a6396f12e4d4ac | 2,114 | py | Python | saspy/__init__.py | metllord/saspy | 324dd76c5769355f4130186c99b5e907350ca205 | [
"Apache-2.0"
] | 1 | 2020-05-28T17:30:46.000Z | 2020-05-28T17:30:46.000Z | saspy/__init__.py | metllord/saspy | 324dd76c5769355f4130186c99b5e907350ca205 | [
"Apache-2.0"
] | null | null | null | saspy/__init__.py | metllord/saspy | 324dd76c5769355f4130186c99b5e907350ca205 | [
"Apache-2.0"
] | null | null | null | #
# Copyright SAS Institute
#
# Licensed under the Apache License, Version 2.0 (the License);
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing... | 30.2 | 102 | 0.703879 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from saspy.version import __version__
from saspy.sasbase import SASsession, SASconfig, list_configs
from saspy.sasdata import SASdata
from saspy.sasexceptions import SASIONotSupportedError, SASC... | true | true |
1c32b619b21812aea2744ec4477398c202b9057c | 3,920 | py | Python | gym_gvgai/envs/gvgai_env.py | joeljosephjin/gvgai-rl | 57281629c313abb43312950b22d043a3d67639cf | [
"Apache-2.0"
] | null | null | null | gym_gvgai/envs/gvgai_env.py | joeljosephjin/gvgai-rl | 57281629c313abb43312950b22d043a3d67639cf | [
"Apache-2.0"
] | null | null | null | gym_gvgai/envs/gvgai_env.py | joeljosephjin/gvgai-rl | 57281629c313abb43312950b22d043a3d67639cf | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Simulate VGDL Games
"""
import sys
from os import path
import numpy as np
dir = path.dirname(__file__)
gvgai_path = path.join(dir, "gvgai", "clients", "GVGAI-PythonClient", "src", "utils")
sys.path.append(gvgai_path)
import gym
from gym import error, spaces, utils
im... | 30.866142 | 158 | 0.557143 |
import sys
from os import path
import numpy as np
dir = path.dirname(__file__)
gvgai_path = path.join(dir, "gvgai", "clients", "GVGAI-PythonClient", "src", "utils")
sys.path.append(gvgai_path)
import gym
from gym import error, spaces, utils
import ClientCommGYM as gvgai
class GVGAI_Env(gym.Env):
def __init__... | true | true |
1c32b63182e3843d4781fc4ffb7434839531e4cc | 1,011 | py | Python | openproblems/tasks/_batch_integration/batch_integration_graph/metrics/ari.py | scottgigante-immunai/openproblems | d093c1a2f21715d98e07ec760eff2c8f50c68373 | [
"MIT"
] | null | null | null | openproblems/tasks/_batch_integration/batch_integration_graph/metrics/ari.py | scottgigante-immunai/openproblems | d093c1a2f21715d98e07ec760eff2c8f50c68373 | [
"MIT"
] | null | null | null | openproblems/tasks/_batch_integration/batch_integration_graph/metrics/ari.py | scottgigante-immunai/openproblems | d093c1a2f21715d98e07ec760eff2c8f50c68373 | [
"MIT"
] | null | null | null | from .....tools.decorators import metric
"""
The Rand index compares the overlap of two clusterings;
it considers both correct clustering overlaps while also counting correct
disagreements between two clusterings.
Similar to NMI, we compared the cell-type labels with the NMI-optimized
Louvain clustering computed on th... | 30.636364 | 81 | 0.726014 | from .....tools.decorators import metric
@metric(
metric_name="ARI",
maximize=True,
image="openproblems-python-batch-integration",
)
def ari(adata):
from scib.metrics import ari
from scib.metrics.clustering import opt_louvain
opt_louvain(
adata,
label_key="labels",
... | true | true |
1c32b6bda5245b70134b39bad44d9245efa72c04 | 5,608 | py | Python | examples/indoor.py | cnheider/MinkowskiEngine | ae6db31203ba012df2f695576e2d3819d49bf2d7 | [
"MIT"
] | null | null | null | examples/indoor.py | cnheider/MinkowskiEngine | ae6db31203ba012df2f695576e2d3819d49bf2d7 | [
"MIT"
] | null | null | null | examples/indoor.py | cnheider/MinkowskiEngine | ae6db31203ba012df2f695576e2d3819d49bf2d7 | [
"MIT"
] | 1 | 2022-02-27T10:44:31.000Z | 2022-02-27T10:44:31.000Z | # Copyright (c) Chris Choy (chrischoy@ai.stanford.edu).
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of
# this software and associated documentation files (the "Software"), to deal in
# the Software without restriction, including without limitation the rights to
# use, copy, modify, ... | 35.719745 | 97 | 0.637839 |
# Networks", CVPR'19 (https://arxiv.org/abs/1904.08755) if you use any part
# of the code.
import os
import argparse
import numpy as np
from urllib.request import urlretrieve
try:
import open3d as o3d
except ImportError:
raise ImportError('Please install open3d with `pip install open3d`.')
... | true | true |
1c32b6fc1860b7fe41b96112f2204db29b88735e | 3,434 | py | Python | dataset/transform.py | AcodeC/video | 5d4497621cba764dc51ae22b10e1196c6e9e28bc | [
"MIT"
] | 23 | 2018-12-14T12:45:19.000Z | 2022-03-13T07:31:46.000Z | dataset/transform.py | AcodeC/video | 5d4497621cba764dc51ae22b10e1196c6e9e28bc | [
"MIT"
] | 3 | 2018-12-18T19:07:11.000Z | 2019-01-16T16:41:55.000Z | dataset/transform.py | AcodeC/video | 5d4497621cba764dc51ae22b10e1196c6e9e28bc | [
"MIT"
] | 8 | 2018-12-20T12:41:59.000Z | 2020-11-09T11:12:06.000Z | import math
import re
import string
import numpy as np
import torch
class UniformSample:
def __init__(self, n_sample):
self.n_sample = n_sample
def __call__(self, frames):
n_frames = len(frames)
if n_frames < self.n_sample:
return frames
sample_indices = [ int(i)... | 23.682759 | 93 | 0.62551 | import math
import re
import string
import numpy as np
import torch
class UniformSample:
def __init__(self, n_sample):
self.n_sample = n_sample
def __call__(self, frames):
n_frames = len(frames)
if n_frames < self.n_sample:
return frames
sample_indices = [ int(i)... | true | true |
1c32b763016a1c8a4b6126d8abb45c71d372978f | 10,551 | py | Python | infrastructure-provisioning/src/general/scripts/gcp/deeplearning_configure.py | ofuks/DLab | 460804a2559843d099936fe40373093f9bf9edcb | [
"Apache-2.0"
] | null | null | null | infrastructure-provisioning/src/general/scripts/gcp/deeplearning_configure.py | ofuks/DLab | 460804a2559843d099936fe40373093f9bf9edcb | [
"Apache-2.0"
] | null | null | null | infrastructure-provisioning/src/general/scripts/gcp/deeplearning_configure.py | ofuks/DLab | 460804a2559843d099936fe40373093f9bf9edcb | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# *****************************************************************************
#
# Copyright (c) 2016, EPAM SYSTEMS INC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#... | 50.725962 | 130 | 0.604019 |
import logging
import json
import sys
from dlab.fab import *
from dlab.meta_lib import *
from dlab.actions_lib import *
import os
if __name__ == "__main__":
local_log_filename = "{}_{}_{}.log".format(os.environ['conf_resource'], os.environ['edge_user_name'],
... | true | true |
1c32b79b708f112bdff89c86039028c44360ec78 | 14,446 | py | Python | scripts/constants/constants.py | sriramkswamy/kobuki-multi-agent-network | 976157ca701be63018cd13538431c2adafbe7f9a | [
"MIT"
] | null | null | null | scripts/constants/constants.py | sriramkswamy/kobuki-multi-agent-network | 976157ca701be63018cd13538431c2adafbe7f9a | [
"MIT"
] | null | null | null | scripts/constants/constants.py | sriramkswamy/kobuki-multi-agent-network | 976157ca701be63018cd13538431c2adafbe7f9a | [
"MIT"
] | null | null | null | import os
import sys
import inspect
from math import pi
# folder containing the output data
EXPTS_BASE_DATA_FOLDER = (os.path.realpath(
os.path.abspath(
os.path.split(
os.path.dirname(inspect.getfile(inspect.currentframe())))[0])))
EXPTS_BASE_DATA_FOLDER = os.path.join(EXPTS_BASE_DATA_FOLDER, '... | 62.808696 | 124 | 0.74775 | import os
import sys
import inspect
from math import pi
EXPTS_BASE_DATA_FOLDER = (os.path.realpath(
os.path.abspath(
os.path.split(
os.path.dirname(inspect.getfile(inspect.currentframe())))[0])))
EXPTS_BASE_DATA_FOLDER = os.path.join(EXPTS_BASE_DATA_FOLDER, 'data', 'expts', '')
EXPTS_BASE_PL... | true | true |
1c32b7b845744e864bc1c3f8c00f02adb11330da | 53 | py | Python | inac8hr/imports.py | th-bunratta/8hr.insomniac | 5173500a1ad7197096d513b38258aa65b035fcf3 | [
"BSD-3-Clause"
] | null | null | null | inac8hr/imports.py | th-bunratta/8hr.insomniac | 5173500a1ad7197096d513b38258aa65b035fcf3 | [
"BSD-3-Clause"
] | null | null | null | inac8hr/imports.py | th-bunratta/8hr.insomniac | 5173500a1ad7197096d513b38258aa65b035fcf3 | [
"BSD-3-Clause"
] | null | null | null | from inac8hr.wrappers.inac8hr_arcade.sprite import *
| 26.5 | 52 | 0.849057 | from inac8hr.wrappers.inac8hr_arcade.sprite import *
| true | true |
1c32b7f4e2e8580bc12dc9ae384db0c41e48d3c3 | 4,270 | py | Python | utm2wgs.py | Kevo89/UTM2LatLong | 79d1063da3f2ae1e7a9aae43b58021b01ff2a855 | [
"MIT"
] | 4 | 2017-03-09T22:19:31.000Z | 2020-02-19T16:23:17.000Z | utm2wgs.py | Kevo89/UTM2LatLong | 79d1063da3f2ae1e7a9aae43b58021b01ff2a855 | [
"MIT"
] | null | null | null | utm2wgs.py | Kevo89/UTM2LatLong | 79d1063da3f2ae1e7a9aae43b58021b01ff2a855 | [
"MIT"
] | 1 | 2019-08-09T00:32:48.000Z | 2019-08-09T00:32:48.000Z | #----------------------------
# UTM to WGS84 Converter #
# Python Version #
#----------------------------
# Adapted from Node-coordinator Project (https://github.com/beatgammit/node-coordinator)
#
# Original and this version released under MIT License (Provided below as per licensing)
#
# Copyright (c) 2... | 44.947368 | 257 | 0.65644 |
import math
def utmToLatLong(utmNorthing, utmEasting, utmZone):
eastingOffset = 500000.0
northingOffset = 10000000.0
k0 = 0.9996
equatorialRadius = 6378137.0
eccSquared = 0.006694380023
eccPrimeSquared = eccSquared / (1 - eccSquared)
e1 = (1 - math.sqrt(1 -... | false | true |
1c32b8911fad87127d03edfe8e86d02ba78a3fe0 | 9,218 | py | Python | aries_cloudagent/config/argparse.py | Patrik-Stas/aries-cloudagent-python | 28f4b59b11db72568084070e4e6c1576c298f03d | [
"Apache-2.0"
] | null | null | null | aries_cloudagent/config/argparse.py | Patrik-Stas/aries-cloudagent-python | 28f4b59b11db72568084070e4e6c1576c298f03d | [
"Apache-2.0"
] | null | null | null | aries_cloudagent/config/argparse.py | Patrik-Stas/aries-cloudagent-python | 28f4b59b11db72568084070e4e6c1576c298f03d | [
"Apache-2.0"
] | null | null | null | """Command line option parsing."""
import os
import argparse
from typing import Sequence
PARSER = argparse.ArgumentParser(description="Runs an Aries Cloud Agent.")
PARSER.add_argument(
"-it",
"--inbound-transport",
dest="inbound_transports",
type=str,
action="append",
nargs=3,
required=... | 26.039548 | 86 | 0.669993 |
import os
import argparse
from typing import Sequence
PARSER = argparse.ArgumentParser(description="Runs an Aries Cloud Agent.")
PARSER.add_argument(
"-it",
"--inbound-transport",
dest="inbound_transports",
type=str,
action="append",
nargs=3,
required=True,
metavar=("<module>", "<ho... | true | true |
1c32b8a716fff04e983de872a823ae7a7301c97c | 198 | py | Python | molo/surveys/admin_urls.py | praekelt/molo.surveys | c86d231f7cee669eb1c91db49ec05cf711984e30 | [
"BSD-3-Clause"
] | null | null | null | molo/surveys/admin_urls.py | praekelt/molo.surveys | c86d231f7cee669eb1c91db49ec05cf711984e30 | [
"BSD-3-Clause"
] | 88 | 2016-06-14T18:36:18.000Z | 2018-09-21T07:33:58.000Z | molo/surveys/admin_urls.py | praekeltfoundation/molo.surveys | c86d231f7cee669eb1c91db49ec05cf711984e30 | [
"BSD-3-Clause"
] | 1 | 2017-10-02T09:27:45.000Z | 2017-10-02T09:27:45.000Z | from django.conf.urls import url
from molo.surveys.views import index
urlpatterns = [
# re-route to overwritten index view, originally in wagtailsurveys
url(r'^$', index, name='index'),
]
| 22 | 70 | 0.717172 | from django.conf.urls import url
from molo.surveys.views import index
urlpatterns = [
url(r'^$', index, name='index'),
]
| true | true |
1c32b909397498ff4375230c5fafdb28c659683a | 2,030 | py | Python | source/services/giphy.py | skonik/vk-cat-bot | 8002e6974da1f2dc2dcb81b51cfefb75879f2d24 | [
"MIT"
] | null | null | null | source/services/giphy.py | skonik/vk-cat-bot | 8002e6974da1f2dc2dcb81b51cfefb75879f2d24 | [
"MIT"
] | 1 | 2021-06-02T00:16:03.000Z | 2021-06-02T00:16:03.000Z | source/services/giphy.py | skonik/vk-cat-bot | 8002e6974da1f2dc2dcb81b51cfefb75879f2d24 | [
"MIT"
] | null | null | null | import io
import re
import json
import aiohttp
class GiphyMethodsMeta(type):
GIPHY_API_METHODS_URL = 'https://api.giphy.com/v1/'
allowed_methods = re.compile(r'gifs')
def __new__(cls, name, bases, dct):
for attr_name, attr_value in dct.items():
if cls.allowed_methods.match(attr_name)... | 32.741935 | 97 | 0.614778 | import io
import re
import json
import aiohttp
class GiphyMethodsMeta(type):
GIPHY_API_METHODS_URL = 'https://api.giphy.com/v1/'
allowed_methods = re.compile(r'gifs')
def __new__(cls, name, bases, dct):
for attr_name, attr_value in dct.items():
if cls.allowed_methods.match(attr_name)... | true | true |
1c32b9172303fb54d84a0f56fa397803ccc87d99 | 238 | py | Python | Mundo 1-Fundamentos/PythonExercicios/ex023.py | JotaPeGabriel/curso-em-video-python3 | 141a9bec8acd7513c10768494fee5c86282dfa75 | [
"MIT"
] | null | null | null | Mundo 1-Fundamentos/PythonExercicios/ex023.py | JotaPeGabriel/curso-em-video-python3 | 141a9bec8acd7513c10768494fee5c86282dfa75 | [
"MIT"
] | null | null | null | Mundo 1-Fundamentos/PythonExercicios/ex023.py | JotaPeGabriel/curso-em-video-python3 | 141a9bec8acd7513c10768494fee5c86282dfa75 | [
"MIT"
] | null | null | null | num = int(input("Digite um numero de 0 a 9999: "))
uni = num // 1 % 10
dez = num // 10 % 10
cen = num // 100 % 10
mil = num // 1000 % 10
print(f'''O numero digitado foi: {num}
Unidade: {uni}
dezena: {dez}
Centena: {cen}
Milhar: {mil}''')
| 21.636364 | 50 | 0.588235 | num = int(input("Digite um numero de 0 a 9999: "))
uni = num // 1 % 10
dez = num // 10 % 10
cen = num // 100 % 10
mil = num // 1000 % 10
print(f'''O numero digitado foi: {num}
Unidade: {uni}
dezena: {dez}
Centena: {cen}
Milhar: {mil}''')
| true | true |
1c32ba4303f378b2390b94e61729cf0bc77089a1 | 2,058 | py | Python | scripts/mask-alignment.py | albernsrya/spheres-augur-build | fdc7866aa73c07508e2e4811f5b74b385736ad79 | [
"Apache-2.0"
] | 1 | 2021-07-03T14:05:19.000Z | 2021-07-03T14:05:19.000Z | scripts/mask-alignment.py | albernsrya/spheres-augur-build | fdc7866aa73c07508e2e4811f5b74b385736ad79 | [
"Apache-2.0"
] | null | null | null | scripts/mask-alignment.py | albernsrya/spheres-augur-build | fdc7866aa73c07508e2e4811f5b74b385736ad79 | [
"Apache-2.0"
] | null | null | null | """
Mask initial bases from alignment FASTA
"""
import argparse
import Bio
import Bio.SeqIO
from Bio.Seq import Seq
def mask_terminal_gaps(seq):
L = len(seq)
seq_trimmed = seq.lstrip('-')
left_gaps = L - len(seq_trimmed)
seq_trimmed = seq_trimmed.rstrip('-')
right_gaps = L - len(seq_trimmed) - left... | 38.830189 | 144 | 0.650632 | import argparse
import Bio
import Bio.SeqIO
from Bio.Seq import Seq
def mask_terminal_gaps(seq):
L = len(seq)
seq_trimmed = seq.lstrip('-')
left_gaps = L - len(seq_trimmed)
seq_trimmed = seq_trimmed.rstrip('-')
right_gaps = L - len(seq_trimmed) - left_gaps
return "N"*left_gaps + seq_trimmed + "... | true | true |
1c32ba78dc18ff3d51a570448d94b7e738fa37ea | 358 | py | Python | Rotating donut.py | Mario263/Hacktoberfest_2021 | 57965f48d3b19d25d2c0b75525eab4c4dce0157a | [
"MIT"
] | 16 | 2021-10-15T08:41:52.000Z | 2022-01-02T11:14:30.000Z | Rotating donut.py | Mario263/Hacktoberfest_2021 | 57965f48d3b19d25d2c0b75525eab4c4dce0157a | [
"MIT"
] | 5 | 2021-10-17T06:04:41.000Z | 2021-10-30T16:45:40.000Z | Rotating donut.py | Mario263/Hacktoberfest_2021 | 57965f48d3b19d25d2c0b75525eab4c4dce0157a | [
"MIT"
] | 43 | 2021-10-15T14:03:48.000Z | 2022-03-09T21:32:46.000Z | from vpython import *
canvas(background= color.purple)
donut = ring(radius=0.5, thickness=0.25, color=vector(400, 100, 1))
chocolate = ring(radius=0.55, thickness=0.25, color=vector(0.4, 0.2, 0))
rad = 0
while True:
rate(10)
donut.pos = vector(3*cos(rad), sin(rad), 0)
chocolate.pos = vector(3*cos(ra... | 35.8 | 73 | 0.639665 | from vpython import *
canvas(background= color.purple)
donut = ring(radius=0.5, thickness=0.25, color=vector(400, 100, 1))
chocolate = ring(radius=0.55, thickness=0.25, color=vector(0.4, 0.2, 0))
rad = 0
while True:
rate(10)
donut.pos = vector(3*cos(rad), sin(rad), 0)
chocolate.pos = vector(3*cos(ra... | true | true |
1c32bb2bde13ef8d4136b6393918978e0551a9c2 | 277 | py | Python | fdap/utils/loggeradapter.py | miniyus/AutomaticPosting-Python | 0627066e60d5cd474ed858e1567bcf6b5b1d9336 | [
"MIT"
] | null | null | null | fdap/utils/loggeradapter.py | miniyus/AutomaticPosting-Python | 0627066e60d5cd474ed858e1567bcf6b5b1d9336 | [
"MIT"
] | 1 | 2021-11-06T02:30:37.000Z | 2021-11-06T02:30:37.000Z | fdap/utils/loggeradapter.py | miniyus/AutomaticPosting-Python | 0627066e60d5cd474ed858e1567bcf6b5b1d9336 | [
"MIT"
] | null | null | null | import logging
class LoggerAdapter(logging.LoggerAdapter):
def __init__(self, prefix, logger):
super(LoggerAdapter, self).__init__(logger, {})
self.prefix = prefix
def process(self, msg, kwargs):
return '[%s] %s' % (self.prefix, msg), kwargs
| 25.181818 | 55 | 0.649819 | import logging
class LoggerAdapter(logging.LoggerAdapter):
def __init__(self, prefix, logger):
super(LoggerAdapter, self).__init__(logger, {})
self.prefix = prefix
def process(self, msg, kwargs):
return '[%s] %s' % (self.prefix, msg), kwargs
| true | true |
1c32bb5567a439d03bdb2f1993bc61fd4e88448f | 1,128 | py | Python | oneflow/python/framework/generator.py | wanghongsheng01/oneflow_cambricon | 187faaa2cb9ba995080ba22499b6219c2d36f0ac | [
"Apache-2.0"
] | null | null | null | oneflow/python/framework/generator.py | wanghongsheng01/oneflow_cambricon | 187faaa2cb9ba995080ba22499b6219c2d36f0ac | [
"Apache-2.0"
] | null | null | null | oneflow/python/framework/generator.py | wanghongsheng01/oneflow_cambricon | 187faaa2cb9ba995080ba22499b6219c2d36f0ac | [
"Apache-2.0"
] | null | null | null | """
Copyright 2020 The OneFlow Authors. 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 required by applicable law or agr... | 32.228571 | 72 | 0.779255 | from __future__ import absolute_import
import oneflow
import oneflow._oneflow_internal
from oneflow.python.oneflow_export import oneflow_export
@oneflow_export("Generator")
def MakeGenerator(device=None, seed=None):
if device is None:
device = "auto"
if seed is None:
return oneflow._oneflow_in... | true | true |
1c32bc14a129f0ae18754f98f17e46ae45610067 | 12,868 | py | Python | models/lights.py | elena-chiculita/PieShine | 288f526902906e2dbf6463c214edaa1c608302dc | [
"MIT"
] | null | null | null | models/lights.py | elena-chiculita/PieShine | 288f526902906e2dbf6463c214edaa1c608302dc | [
"MIT"
] | 1 | 2016-12-10T04:06:17.000Z | 2016-12-10T22:46:04.000Z | models/lights.py | elena-chiculita/PieShine | 288f526902906e2dbf6463c214edaa1c608302dc | [
"MIT"
] | null | null | null | import time
from models.utils.comms import Comms
from models.utils.userobj import UserObj
from models.utils.callableobj import CallableObj
from models.utils.testobj import TestObj
from models.utils.color import Gamut
REFRESH_TIMEOUT = 5
# Associate a model id with a gamut.
ModelsGamut = {
'LCT001': 'B',
'LCT... | 33.336788 | 136 | 0.578178 | import time
from models.utils.comms import Comms
from models.utils.userobj import UserObj
from models.utils.callableobj import CallableObj
from models.utils.testobj import TestObj
from models.utils.color import Gamut
REFRESH_TIMEOUT = 5
ModelsGamut = {
'LCT001': 'B',
'LCT002': 'B',
'LCT003': 'B',
'L... | true | true |
1c32bc3560154a4414ff7fb012ff5c5d11236aac | 3,673 | py | Python | FluentPython/concurrency_with_asyncio/flag2_asyncio.py | xu6148152/Binea_Python_Project | d943eb5f4685d08f080b372dcf1a7cbd5d63efed | [
"MIT"
] | null | null | null | FluentPython/concurrency_with_asyncio/flag2_asyncio.py | xu6148152/Binea_Python_Project | d943eb5f4685d08f080b372dcf1a7cbd5d63efed | [
"MIT"
] | null | null | null | FluentPython/concurrency_with_asyncio/flag2_asyncio.py | xu6148152/Binea_Python_Project | d943eb5f4685d08f080b372dcf1a7cbd5d63efed | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- encoding: utf-8 -*-
import asyncio
import collections
import aiohttp
from aiohttp import web
import tqdm
from concurrency_futures.flags2_common import main, HTTPStatus, Result, save_flag
# default set low to avoid errors from remote site, such as
# 503 - Service Temporarily Unavailable
D... | 29.620968 | 117 | 0.642254 |
import asyncio
import collections
import aiohttp
from aiohttp import web
import tqdm
from concurrency_futures.flags2_common import main, HTTPStatus, Result, save_flag
DEFAULT_CONCUR_REQ = 5
MAX_CONCUR_REQ = 1000
class FetchError(Exception):
def __init__(self, country_code):
self.country_code = coun... | true | true |
1c32bcec0553e370ac4baffa77df6bcc9051b48b | 397 | py | Python | tests/test_binomial.py | fau-klue/pandas-association-measures | 80625936d8c25afc81810a5c82b2b7fff66a375c | [
"MIT"
] | 5 | 2020-07-30T08:17:53.000Z | 2021-12-09T09:00:03.000Z | tests/test_binomial.py | fau-klue/pandas-association-measures | 80625936d8c25afc81810a5c82b2b7fff66a375c | [
"MIT"
] | 11 | 2019-04-14T21:28:25.000Z | 2021-12-07T10:35:49.000Z | tests/test_binomial.py | fau-klue/pandas-association-measures | 80625936d8c25afc81810a5c82b2b7fff66a375c | [
"MIT"
] | null | null | null | import pytest
from association_measures import binomial as bi
@pytest.mark.binomial
def test_choose():
assert bi.choose(9, 3) == 84
assert bi.choose(5, 2) == 10
assert bi.choose(2, 2) == 1
assert bi.choose(0, 0) == 1
assert bi.choose(-3, 5) == 0
assert bi.choose(-2, -2) == 0
assert bi.ch... | 23.352941 | 58 | 0.629723 | import pytest
from association_measures import binomial as bi
@pytest.mark.binomial
def test_choose():
assert bi.choose(9, 3) == 84
assert bi.choose(5, 2) == 10
assert bi.choose(2, 2) == 1
assert bi.choose(0, 0) == 1
assert bi.choose(-3, 5) == 0
assert bi.choose(-2, -2) == 0
assert bi.ch... | true | true |
1c32be0998b0394d9fa7382a2b7e68a4e0aa3b72 | 2,962 | py | Python | src/ktop/widget_dashboard.py | deathbeds/ktop | b9ff55af75980526337ea1903bda83ccf1bf2f1e | [
"BSD-3-Clause"
] | null | null | null | src/ktop/widget_dashboard.py | deathbeds/ktop | b9ff55af75980526337ea1903bda83ccf1bf2f1e | [
"BSD-3-Clause"
] | 1 | 2018-01-19T17:11:40.000Z | 2018-01-19T17:11:40.000Z | src/ktop/widget_dashboard.py | deathbeds/ktop | b9ff55af75980526337ea1903bda83ccf1bf2f1e | [
"BSD-3-Clause"
] | null | null | null | import traitlets as T
import ipywidgets as W
class DefaultKernelView(W.VBox):
""" Show a kernel
"""
def __init__(self, *args, **kwargs):
kernel = kwargs.pop("kernel")
super(DefaultKernelView, self).__init__(*args, **kwargs)
progress = W.FloatProgress(min=0.0, max=1.0)
wid... | 27.425926 | 73 | 0.497974 | import traitlets as T
import ipywidgets as W
class DefaultKernelView(W.VBox):
def __init__(self, *args, **kwargs):
kernel = kwargs.pop("kernel")
super(DefaultKernelView, self).__init__(*args, **kwargs)
progress = W.FloatProgress(min=0.0, max=1.0)
widgets = W.VBox()
shutdo... | true | true |
1c32bef877f7c9cf27ab6520cf26b17fc8852996 | 5,118 | py | Python | zodiac_circle_v2.2.py | DCRHallum/Zodiac-Circle | 9a121f982bd2a813e4fa8aee725b7949703f2564 | [
"CC0-1.0"
] | null | null | null | zodiac_circle_v2.2.py | DCRHallum/Zodiac-Circle | 9a121f982bd2a813e4fa8aee725b7949703f2564 | [
"CC0-1.0"
] | null | null | null | zodiac_circle_v2.2.py | DCRHallum/Zodiac-Circle | 9a121f982bd2a813e4fa8aee725b7949703f2564 | [
"CC0-1.0"
] | null | null | null | zodiac_signs = ['aries','taurus','gemini','cancer','leo','virgo','libra','scorpio','sagittarius','capricorn','aquarius','pisces']
fin_zodiac_signs = ['Aries','Taurus','Gemini','Cancer','Leo','Virgo','Libra','Scorpio','Sagittarius','Capricorn','Aquarius','Pisces']
houses = ['Mars','Venus','Mercury','The Moon','The Sun... | 33.45098 | 175 | 0.655334 | zodiac_signs = ['aries','taurus','gemini','cancer','leo','virgo','libra','scorpio','sagittarius','capricorn','aquarius','pisces']
fin_zodiac_signs = ['Aries','Taurus','Gemini','Cancer','Leo','Virgo','Libra','Scorpio','Sagittarius','Capricorn','Aquarius','Pisces']
houses = ['Mars','Venus','Mercury','The Moon','The Sun... | true | true |
1c32c03775f8c3d36f64ba55ad12508fc9bcf5e2 | 4,699 | py | Python | createaddr.py | xcbtrader/multi-btc-address-create | 7904b30dfe9457cd669bd113e28fb74ec1be3350 | [
"MIT"
] | null | null | null | createaddr.py | xcbtrader/multi-btc-address-create | 7904b30dfe9457cd669bd113e28fb74ec1be3350 | [
"MIT"
] | null | null | null | createaddr.py | xcbtrader/multi-btc-address-create | 7904b30dfe9457cd669bd113e28fb74ec1be3350 | [
"MIT"
] | null | null | null | __author__ = 'deunido'
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from bitcoin import *
from tkinter import *
from tkinter import ttk, font
import sys
import requests
import json
class Aplicacion():
def __init__(self):
self.raiz = Tk()
self.raiz.geometry("700x305")
self.raiz.resizable(width=F... | 34.807407 | 216 | 0.662269 | __author__ = 'deunido'
from bitcoin import *
from tkinter import *
from tkinter import ttk, font
import sys
import requests
import json
class Aplicacion():
def __init__(self):
self.raiz = Tk()
self.raiz.geometry("700x305")
self.raiz.resizable(width=False, height=False)
self.raiz.title("Multi... | true | true |
1c32c2c431f709326d664e14c7f2c6b0b119b490 | 1,031 | py | Python | detect_mask_and_ocr.py | isomorphicdude/Highlighted-Text-OCR | 07557bf77172b5e411f83352d8c4a6ba1b46fe6a | [
"MIT"
] | null | null | null | detect_mask_and_ocr.py | isomorphicdude/Highlighted-Text-OCR | 07557bf77172b5e411f83352d8c4a6ba1b46fe6a | [
"MIT"
] | null | null | null | detect_mask_and_ocr.py | isomorphicdude/Highlighted-Text-OCR | 07557bf77172b5e411f83352d8c4a6ba1b46fe6a | [
"MIT"
] | null | null | null | import cv2
import numpy as np
import torch
import easyocr
# Reading the image
img = cv2.imread('image.jpg')
#define kernel size
kernel = np.ones((7,7),np.uint8)
# convert to hsv colorspace
hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
# lower bound and upper bound for Green color
# lower_bound =... | 25.146341 | 55 | 0.694471 | import cv2
import numpy as np
import torch
import easyocr
img = cv2.imread('image.jpg')
kernel = np.ones((7,7),np.uint8)
hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
lower_bound = np.array([20, 80, 80])
upper_bound = np.array([30, 255, 255])
mask = cv2.inRange(hsv, lower_bound, upper... | true | true |
1c32c3186b313f3e843531f74356fcc5f1147f9b | 45,071 | py | Python | pkgs/conf-pkg/src/genie/libs/conf/l2vpn/iosxr/bridge_domain.py | miott/genielibs | 6464642cdd67aa2367bdbb12561af4bb060e5e62 | [
"Apache-2.0"
] | 94 | 2018-04-30T20:29:15.000Z | 2022-03-29T13:40:31.000Z | pkgs/conf-pkg/src/genie/libs/conf/l2vpn/iosxr/bridge_domain.py | miott/genielibs | 6464642cdd67aa2367bdbb12561af4bb060e5e62 | [
"Apache-2.0"
] | 67 | 2018-12-06T21:08:09.000Z | 2022-03-29T18:00:46.000Z | pkgs/conf-pkg/src/genie/libs/conf/l2vpn/iosxr/bridge_domain.py | miott/genielibs | 6464642cdd67aa2367bdbb12561af4bb060e5e62 | [
"Apache-2.0"
] | 49 | 2018-06-29T18:59:03.000Z | 2022-03-10T02:07:59.000Z |
from abc import ABC
import warnings
import contextlib
from genie.conf.base.attributes import UnsupportedAttributeWarning,\
AttributesHelper
from genie.conf.base.cli import CliConfigBuilder
from genie.conf.base.config import CliConfig
from genie.libs.conf.interface import BviInterface
from genie.libs.conf.l2vpn.p... | 85.039623 | 191 | 0.609305 |
from abc import ABC
import warnings
import contextlib
from genie.conf.base.attributes import UnsupportedAttributeWarning,\
AttributesHelper
from genie.conf.base.cli import CliConfigBuilder
from genie.conf.base.config import CliConfig
from genie.libs.conf.interface import BviInterface
from genie.libs.conf.l2vpn.p... | true | true |
1c32c430911cda1f536110a33edb83aad3b2f3d6 | 64,678 | py | Python | python/pyspark/pandas/internal.py | amwufiv/spark | b50d4507f52315d5f6d75c617e845248a1c828a9 | [
"BSD-2-Clause",
"Apache-2.0",
"CC0-1.0",
"MIT",
"MIT-0",
"ECL-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 7 | 2015-02-05T10:57:54.000Z | 2022-01-12T08:52:54.000Z | python/pyspark/pandas/internal.py | amwufiv/spark | b50d4507f52315d5f6d75c617e845248a1c828a9 | [
"BSD-2-Clause",
"Apache-2.0",
"CC0-1.0",
"MIT",
"MIT-0",
"ECL-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 27 | 2021-04-14T16:44:15.000Z | 2022-03-13T00:35:17.000Z | python/pyspark/pandas/internal.py | amwufiv/spark | b50d4507f52315d5f6d75c617e845248a1c828a9 | [
"BSD-2-Clause",
"Apache-2.0",
"CC0-1.0",
"MIT",
"MIT-0",
"ECL-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 6 | 2022-01-24T20:07:59.000Z | 2022-01-25T16:11:34.000Z | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | 40.172671 | 106 | 0.581434 |
import re
from typing import Any, Dict, List, Optional, Sequence, Tuple, Union, TYPE_CHECKING, cast
import numpy as np
import pandas as pd
from pandas.api.types import CategoricalDtype
from pyspark._globals import _NoValue, _NoValueType
from pyspark.sql import functions as F, Column, DataFrame as Sp... | true | true |
1c32c4bd87d48b8ecbc4afc1533f653fe99d2f0f | 3,387 | py | Python | exot/util/analysers.py | ETHZ-TEC/exot_eengine | 7b7ce6cb949e1b0a02e716b03f2f9af751713b29 | [
"BSD-3-Clause"
] | null | null | null | exot/util/analysers.py | ETHZ-TEC/exot_eengine | 7b7ce6cb949e1b0a02e716b03f2f9af751713b29 | [
"BSD-3-Clause"
] | null | null | null | exot/util/analysers.py | ETHZ-TEC/exot_eengine | 7b7ce6cb949e1b0a02e716b03f2f9af751713b29 | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2015-2020, Swiss Federal Institute of Technology (ETH Zurich)
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright... | 40.807229 | 92 | 0.679658 |
import numpy as np
import pandas as pd
from exot.util.attributedict import LabelMapping
def all_labels_in_dataset(experiment, sort_str=False, **kwargs):
for key in ["phase", "labelcolumn", "io"]:
if key not in kwargs.keys():
raise ValueError(f"key {key} not specifi... | true | true |
1c32c5bf3ef61e16be2fe366d916eb5e61b98c5c | 7,985 | py | Python | docs/conf.py | tony/sphinx-argparse | dcf53c8092e87e375388f8691a28254fbbd7ac24 | [
"MIT"
] | null | null | null | docs/conf.py | tony/sphinx-argparse | dcf53c8092e87e375388f8691a28254fbbd7ac24 | [
"MIT"
] | null | null | null | docs/conf.py | tony/sphinx-argparse | dcf53c8092e87e375388f8691a28254fbbd7ac24 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# sphinx-argparse documentation build configuration file, created by
# sphinx-quickstart on Thu Jan 31 15:13:43 2013.
#
# This file is execfile()d with the current directory set to its containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.... | 32.45935 | 100 | 0.717721 |
import sys, os
sys.path.insert(0, os.path.abspath('..'))
extensions = ['sphinx.ext.autodoc', 'sphinx.ext.todo', 'sphinx.ext.coverage', 'sphinx.ext.viewcode']
templates_path = ['_templates']
source_suffix = '.rst'
master_doc = 'index'
project = u'sphinx-argparse'
copyright = u'2013, A... | true | true |
1c32c6c2808bf6c3550db9b366434945d7d62c09 | 3,371 | py | Python | kin.py | yuri-almeid/Snackin-Assistant | 750aa6c0b29a810ee5d3fb85a24ccc5a384e25b0 | [
"Apache-2.0"
] | 1 | 2021-06-12T13:43:39.000Z | 2021-06-12T13:43:39.000Z | kin.py | yuri-almeid/Snackin-Assistant | 750aa6c0b29a810ee5d3fb85a24ccc5a384e25b0 | [
"Apache-2.0"
] | null | null | null | kin.py | yuri-almeid/Snackin-Assistant | 750aa6c0b29a810ee5d3fb85a24ccc5a384e25b0 | [
"Apache-2.0"
] | null | null | null |
## Importando Módulos
from ibm_watson import TextToSpeechV1 # Biblioteca IBM Watson para TTS
from ibm_cloud_sdk_core.authenticators import IAMAuthenticator # Biblioteca IBM Watson para autenticação da API
from datetime import datetime # módulo de tempo
from datetime import date # Módulo de tempo (data)
import random
i... | 29.831858 | 113 | 0.613171 |
ort TextToSpeechV1
from ibm_cloud_sdk_core.authenticators import IAMAuthenticator
from datetime import datetime
from datetime import date
import random
import os
def IBM_auth():
print(" >>> Iniciando autenticação do IBM Watson...")
print()
CQk5et-VDTSpApnG9dDG2e'
url = 'https://api.us-south.text-to-spee... | true | true |
1c32c6ccaac73c2b146765c6a92a1e99e7b49e0f | 4,484 | py | Python | windcraft/text.py | marchdf/windcraft | 9334864171f10c7a2fa1f0da71938551cc45465a | [
"Apache-2.0"
] | null | null | null | windcraft/text.py | marchdf/windcraft | 9334864171f10c7a2fa1f0da71938551cc45465a | [
"Apache-2.0"
] | 2 | 2018-03-12T23:41:26.000Z | 2018-03-16T16:19:28.000Z | windcraft/text.py | marchdf/windcraft | 9334864171f10c7a2fa1f0da71938551cc45465a | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 National Renewable Energy Laboratory. This software
# is released under the license detailed in the file, LICENSE, which
# is located in the top-level directory structure.
# ========================================================================
#
# Imports
#
# =======================================... | 41.906542 | 86 | 0.48595 |
import pygame
import windcraft.colors as colors
import windcraft.fonts as fonts
class Text():
def __init__(self):
self.colors = colors.Colors()
self.fonts = fonts.Fonts()
self.yoffset = 0.03 * pygame.display.get_surface().get_height()
def display(self, screen, num_turbi... | true | true |
1c32c6ed3176ab052d74abbd5c969a01cd06cee4 | 10,605 | py | Python | test/test_provider_notification_subscriptions_api.py | vericred/vericred-python | be45691c821a595c3d77a561b2ca33049b1239b4 | [
"Apache-2.0"
] | 3 | 2016-08-10T23:39:11.000Z | 2021-08-25T02:39:39.000Z | test/test_provider_notification_subscriptions_api.py | vericred/vericred-python | be45691c821a595c3d77a561b2ca33049b1239b4 | [
"Apache-2.0"
] | 2 | 2016-05-27T12:44:08.000Z | 2016-08-24T18:19:36.000Z | test/test_provider_notification_subscriptions_api.py | vericred/vericred-python | be45691c821a595c3d77a561b2ca33049b1239b4 | [
"Apache-2.0"
] | 4 | 2016-05-27T08:18:14.000Z | 2021-08-25T02:41:18.000Z | # coding: utf-8
"""
Vericred API
Vericred's API allows you to search for Health Plans that a specific doctor
accepts.
## Getting Started
Visit our [Developer Portal](https://developers.vericred.com) to
create an account.
Once you have created an account, you can create one Application for
Production and an... | 39.570896 | 228 | 0.671759 |
from __future__ import absolute_import
import os
import sys
import unittest
import vericred_client
from vericred_client.rest import ApiException
from vericred_client.apis.provider_notification_subscriptions_api import ProviderNotificationSubscriptionsApi
class TestProviderNotificationSubscriptionsApi(unittest.Te... | true | true |
1c32c7f89a9fed5d1178980ccfdbc998795f0171 | 1,592 | py | Python | lib/surface/ml_engine/jobs/describe.py | bopopescu/Google-Cloud-SDK-1 | c4683bacb2f6192d8a816932e438a0493085469b | [
"Apache-2.0"
] | null | null | null | lib/surface/ml_engine/jobs/describe.py | bopopescu/Google-Cloud-SDK-1 | c4683bacb2f6192d8a816932e438a0493085469b | [
"Apache-2.0"
] | null | null | null | lib/surface/ml_engine/jobs/describe.py | bopopescu/Google-Cloud-SDK-1 | c4683bacb2f6192d8a816932e438a0493085469b | [
"Apache-2.0"
] | 1 | 2020-07-24T20:13:29.000Z | 2020-07-24T20:13:29.000Z | # Copyright 2016 Google Inc. 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 required by applicable law or ag... | 33.87234 | 74 | 0.759422 |
from googlecloudsdk.api_lib.ml_engine import jobs
from googlecloudsdk.calliope import base
from googlecloudsdk.command_lib.ml_engine import flags
from googlecloudsdk.command_lib.ml_engine import jobs_util
from googlecloudsdk.core import log
def _AddDescribeArgs(parser):
flags.JOB_NAME.AddToParser(pars... | true | true |
1c32c88929975fdde3db41aa931defc525144752 | 4,526 | py | Python | phyutil/phyapp/common/tornado/auth/crowd.py | frib-high-level-controls/phyhlc | 6486607e3aa0212054a12e9f2ad1a3ef15542f48 | [
"BSD-3-Clause"
] | 1 | 2018-03-22T15:18:54.000Z | 2018-03-22T15:18:54.000Z | phyutil/phyapp/common/tornado/auth/crowd.py | frib-high-level-controls/phyhlc | 6486607e3aa0212054a12e9f2ad1a3ef15542f48 | [
"BSD-3-Clause"
] | null | null | null | phyutil/phyapp/common/tornado/auth/crowd.py | frib-high-level-controls/phyhlc | 6486607e3aa0212054a12e9f2ad1a3ef15542f48 | [
"BSD-3-Clause"
] | null | null | null | # encoding: UTF-8
#
# Copyright (c) 2015, Facility for Rare Isotope Beams
#
#
"""
Implements authentication support using the Atlassian Crowd service RESTful API.
.. moduleauthor:: Dylan Maxwell <maxwelld@frib.msu.edu>
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import ... | 32.561151 | 88 | 0.659744 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import time
import logging
from tornado.gen import coroutine
from tornado.gen import Return
from tornado.httputil import HTTPHeaders
from tornado.httpclient import HTTPError
from tornado.httpclient impo... | true | true |
1c32c8e2b728f4959affb9559606f07c687dac76 | 1,656 | py | Python | cyrax/events.py | piranha/cyrax | fd1c0473f0c69631339b2a5476933b00f604c643 | [
"0BSD"
] | 10 | 2015-12-18T22:39:02.000Z | 2021-03-03T15:11:05.000Z | cyrax/events.py | piranha/cyrax | fd1c0473f0c69631339b2a5476933b00f604c643 | [
"0BSD"
] | 9 | 2016-01-01T09:28:13.000Z | 2019-12-17T09:39:15.000Z | cyrax/events.py | piranha/cyrax | fd1c0473f0c69631339b2a5476933b00f604c643 | [
"0BSD"
] | 9 | 2015-12-31T23:18:07.000Z | 2020-08-10T10:56:46.000Z | # -*- coding: utf-8 -*-
"""
cyrax.events
~~~~~~~~~~~~~~~
:copyright: 2007-2008 by Armin Ronacher as glashammer.utils.events
:copyright: 2009 by Alexander Solovyov
:license: MIT
"""
import logging
from collections import deque
try:
from sys import intern
except ImportError:
pass
logger ... | 25.476923 | 79 | 0.610507 |
import logging
from collections import deque
try:
from sys import intern
except ImportError:
pass
logger = logging.getLogger(__name__)
class EventManager(object):
def __init__(self):
self._listeners = {}
self._last_listener = 0
def connect(self, event, callback, prepend=False)... | true | true |
1c32c949f32cd734de31efaf4aa3e2b1f1b83a1c | 5,754 | py | Python | qlib/data/base.py | minkefusiji/qlib | 5ee2d9496b2ffb261b2ec077b1aac88298938040 | [
"MIT"
] | 2 | 2021-11-09T05:12:36.000Z | 2021-11-09T05:12:40.000Z | qlib/data/base.py | GuBuChang/qlib | 7b15682c637106d4da0801e942d889c5615ebb70 | [
"MIT"
] | null | null | null | qlib/data/base.py | GuBuChang/qlib | 7b15682c637106d4da0801e942d889c5615ebb70 | [
"MIT"
] | null | null | null | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
from __future__ import division
from __future__ import print_function
import abc
import pandas as pd
from ..log import get_module_logger
class Expression(abc.ABC):
"""Expression base class"""
def __str__(self):
return type(s... | 24.381356 | 100 | 0.607404 |
from __future__ import division
from __future__ import print_function
import abc
import pandas as pd
from ..log import get_module_logger
class Expression(abc.ABC):
def __str__(self):
return type(self).__name__
def __repr__(self):
return str(self)
def __gt__(self, other):
f... | true | true |
1c32c97738a15cff439f8342b36199b82ae5409a | 3,902 | py | Python | kmip/tests/unit/core/test_policy.py | vbnmmnbv/PyKMIP | 4617ae528006178c466fe3945a477f568b596940 | [
"Apache-2.0"
] | 12 | 2016-09-14T21:59:10.000Z | 2020-03-11T07:37:25.000Z | kmip/tests/unit/core/test_policy.py | vbnmmnbv/PyKMIP | 4617ae528006178c466fe3945a477f568b596940 | [
"Apache-2.0"
] | null | null | null | kmip/tests/unit/core/test_policy.py | vbnmmnbv/PyKMIP | 4617ae528006178c466fe3945a477f568b596940 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2016 The Johns Hopkins University/Applied Physics Laboratory
# 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/LICEN... | 29.78626 | 76 | 0.59021 |
import shutil
import tempfile
import testtools
from kmip.core import enums
from kmip.core import policy
class TestPolicy(testtools.TestCase):
def setUp(self):
super(TestPolicy, self).setUp()
self.temp_dir = tempfile.mkdtemp()
self.addCleanup(shutil.rmtree, self.temp_dir)
... | true | true |
1c32ca2f342192aa11548e66287cc2d2ff6b0c83 | 10,104 | py | Python | pyHeatTransfer/conduction.py | OSUmageed/pyHeatTransfer | b1db8ca7594a657826a1ccfb38a4e4eb102cce55 | [
"MIT"
] | 3 | 2017-07-30T19:01:21.000Z | 2021-06-03T23:28:16.000Z | pyHeatTransfer/conduction.py | OSUmageed/pyHeatTransfer | b1db8ca7594a657826a1ccfb38a4e4eb102cce55 | [
"MIT"
] | null | null | null | pyHeatTransfer/conduction.py | OSUmageed/pyHeatTransfer | b1db8ca7594a657826a1ccfb38a4e4eb102cce55 | [
"MIT"
] | 1 | 2020-06-28T08:28:59.000Z | 2020-06-28T08:28:59.000Z | #I suppose the idea is that it gets these values from somewhere and takes off.
#Regardless of where those values come from.
import os
import os.path as op
import sys
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
import CoolProp.CoolProp as cp
import collections
import time
imp... | 29.630499 | 140 | 0.538104 |
import os
import os.path as op
import sys
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
import CoolProp.CoolProp as cp
import collections
import time
import random
from deco import concurrent, synchronized
sourcepath = op.abspath(op.dirname(__file__))
gitpath = op.dirname... | true | true |
1c32ca3aa49e20ae7571a8f8bceee4c37493a328 | 6,188 | py | Python | model/DynamicPricing.py | pranavsb/RL_smart_grid | b23b407d3c873171d9a2af6d5a0104a7bcadc6cd | [
"MIT"
] | 8 | 2019-09-06T08:05:23.000Z | 2022-03-24T23:40:55.000Z | model/DynamicPricing.py | pranavsb/RL_smart_grid | b23b407d3c873171d9a2af6d5a0104a7bcadc6cd | [
"MIT"
] | 1 | 2020-10-30T13:00:49.000Z | 2021-01-28T04:18:34.000Z | model/DynamicPricing.py | pranavsb/RL_smart_grid | b23b407d3c873171d9a2af6d5a0104a7bcadc6cd | [
"MIT"
] | 3 | 2020-09-12T16:21:44.000Z | 2020-11-05T20:33:34.000Z | from Environment import Environment
from QTableAgent import QTableAgent
import time, os
import numpy as np
import pickle
from Utils import get_battery_reward_factor
SOURCE_DEMAND_STATE = 'demand'
SOURCE_SMART_LOADS = True
SOURCE_LEARNING_RATE = 0.03
SOURCE_DISCOUNT_FACTOR = 0.95
SOURCE_NUM_LOADS = 10
SOURCE_MODE = 'va... | 40.444444 | 173 | 0.627182 | from Environment import Environment
from QTableAgent import QTableAgent
import time, os
import numpy as np
import pickle
from Utils import get_battery_reward_factor
SOURCE_DEMAND_STATE = 'demand'
SOURCE_SMART_LOADS = True
SOURCE_LEARNING_RATE = 0.03
SOURCE_DISCOUNT_FACTOR = 0.95
SOURCE_NUM_LOADS = 10
SOURCE_MODE = 'va... | true | true |
1c32cb7103a6a39e5bcb355a0f36e5866914d3b6 | 298,432 | py | Python | src/oci/os_management/os_management_client.py | ezequielramos/oci-python-sdk | cc4235cf217beaf9feed75760e9ce82610222762 | [
"Apache-2.0",
"BSD-3-Clause"
] | 3 | 2020-09-10T22:09:45.000Z | 2021-12-24T17:00:07.000Z | src/oci/os_management/os_management_client.py | ezequielramos/oci-python-sdk | cc4235cf217beaf9feed75760e9ce82610222762 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | src/oci/os_management/os_management_client.py | ezequielramos/oci-python-sdk | cc4235cf217beaf9feed75760e9ce82610222762 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | # coding: utf-8
# Copyright (c) 2016, 2021, Oracle and/or its affiliates. All rights reserved.
# This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may c... | 48.336897 | 262 | 0.647632 |
from __future__ import absolute_import
from oci._vendor import requests
from oci._vendor import six
from oci import retry, circuit_breaker
from oci.base_client import BaseClient
from oci.config import get_config_value_or_default, validate_config
from oci.signer import Signer
from oci.util import Sentinel, get... | true | true |
1c32cbf02d8a965ded2df7baac755640a4f074e0 | 2,501 | py | Python | kornia/contrib/max_blur_pool.py | IEM-Computer-Vision/kornia | f98bd9a2158a6e59cda076d55d476acf13f4e0af | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | kornia/contrib/max_blur_pool.py | IEM-Computer-Vision/kornia | f98bd9a2158a6e59cda076d55d476acf13f4e0af | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | kornia/contrib/max_blur_pool.py | IEM-Computer-Vision/kornia | f98bd9a2158a6e59cda076d55d476acf13f4e0af | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | from typing import Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from kornia.geometry.transform.pyramid import pyrdown
__all__ = [
"max_blur_pool2d",
"MaxBlurPool2d",
]
def _compute_zero_padding(kernel_size: Tuple[int, int]) -> Tuple[int, int]:
"""Computes zero padding tuple.... | 31.658228 | 100 | 0.62615 | from typing import Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from kornia.geometry.transform.pyramid import pyrdown
__all__ = [
"max_blur_pool2d",
"MaxBlurPool2d",
]
def _compute_zero_padding(kernel_size: Tuple[int, int]) -> Tuple[int, int]:
padding = [(k - 1) // 2 for k i... | true | true |
1c32cc54145a5ead761dc49d1c6ae9962191bca9 | 502 | py | Python | python/tuples.py | Shaimyst/toy-problems | 3ed20f7cba90504f0711f58c387d30db23be858b | [
"MIT"
] | null | null | null | python/tuples.py | Shaimyst/toy-problems | 3ed20f7cba90504f0711f58c387d30db23be858b | [
"MIT"
] | null | null | null | python/tuples.py | Shaimyst/toy-problems | 3ed20f7cba90504f0711f58c387d30db23be858b | [
"MIT"
] | null | null | null | # Task
# Given an integer, 'n', and 'n' space-separated integers as input, create a tuple, 't',
# of those integers. Then compute and print the result of hash(t).
# Sample Input 0
# 2
# 1 2
# Sample Output 0
# 3713081631934410656
if __name__ == '__main__':
n = int(raw_input())
integer_list = map(int, raw_i... | 22.818182 | 88 | 0.661355 |
if __name__ == '__main__':
n = int(raw_input())
integer_list = map(int, raw_input().split())
my_tuple = tuple(integer_list)
print(hash(my_tuple)) | true | true |
1c32cdf46dce0ec761ecdb963bbacea91f05c4a1 | 1,395 | py | Python | python-opcua/timetable_parser.py | ssriblo/ionic-smarthome-test-1 | 060bc247e0b8295d6cd869d90b364756515cfc19 | [
"MIT"
] | 1 | 2020-12-18T15:18:19.000Z | 2020-12-18T15:18:19.000Z | python-opcua/timetable_parser.py | ssriblo/ionic-smarthome-test-1 | 060bc247e0b8295d6cd869d90b364756515cfc19 | [
"MIT"
] | 42 | 2020-08-20T04:01:12.000Z | 2021-01-09T18:50:21.000Z | python-opcua/timetable_parser.py | ssriblo/ionic-smarthome-test-1 | 060bc247e0b8295d6cd869d90b364756515cfc19 | [
"MIT"
] | null | null | null | import numpy as np
import sys
import json
class DataParserTT(object):
def __init__(self):
pass
# Let convert from string to json:
#
def timetableParser(self, str):
# ob = self.obj
a = [None]*16
print(f"\n\nstr type", type(str), str) # магическим образом э... | 31 | 123 | 0.424373 | import numpy as np
import sys
import json
class DataParserTT(object):
def __init__(self):
pass
def timetableParser(self, str):
a = [None]*16
print(f"\n\nstr type", type(str), str)
ob = json.loads(str)
try:
if (ob['mode'] == "TimeTable"):... | true | true |
1c32cebad503494afaeb02a6817eeb5b18bd9cd8 | 12,464 | py | Python | src/gluonts/model/deepvar_hierarchical/_network.py | Xiaoxiong-Liu/gluon-ts | 097c492769258dd70b7f223f826b17b0051ceee9 | [
"Apache-2.0"
] | 2,648 | 2019-06-03T17:18:27.000Z | 2022-03-31T08:29:22.000Z | src/gluonts/model/deepvar_hierarchical/_network.py | Xiaoxiong-Liu/gluon-ts | 097c492769258dd70b7f223f826b17b0051ceee9 | [
"Apache-2.0"
] | 1,220 | 2019-06-04T09:00:14.000Z | 2022-03-31T10:45:43.000Z | src/gluonts/model/deepvar_hierarchical/_network.py | Xiaoxiong-Liu/gluon-ts | 097c492769258dd70b7f223f826b17b0051ceee9 | [
"Apache-2.0"
] | 595 | 2019-06-04T01:04:31.000Z | 2022-03-30T10:40:26.000Z | # Copyright 2018 Amazon.com, Inc. or its affiliates. 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.
# A copy of the License is located at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# or in the "license... | 33.326203 | 120 | 0.634467 |
from typing import List, Optional
from itertools import product
import mxnet as mx
import numpy as np
from gluonts.core.component import validated
from gluonts.mx import Tensor
from gluonts.mx.distribution import Distribution, DistributionOutput
from gluonts.mx.distribution import EmpiricalDistributio... | true | true |
1c32ced5986b513b59820c9d7855cb384387ef16 | 6,208 | py | Python | simpleai/search/models.py | kod3r/simpleai | 989f7ae3e1d770b34aa41611243635fd6109aff8 | [
"MIT"
] | 1 | 2019-04-19T23:05:28.000Z | 2019-04-19T23:05:28.000Z | simpleai/search/models.py | kod3r/simpleai | 989f7ae3e1d770b34aa41611243635fd6109aff8 | [
"MIT"
] | null | null | null | simpleai/search/models.py | kod3r/simpleai | 989f7ae3e1d770b34aa41611243635fd6109aff8 | [
"MIT"
] | null | null | null | # coding=utf-8
class SearchProblem(object):
'''Abstract base class to represent and manipulate the search space of a
problem.
In this class, the search space is meant to be represented implicitly as
a graph.
Each state corresponds with a problem state (ie, a valid configuration)
... | 35.073446 | 79 | 0.598099 |
class SearchProblem(object):
def __init__(self, initial_state):
self.initial_state = initial_state
def actions(self, state):
raise NotImplementedError
def result(self, state, action):
raise NotImplementedError
def cost(self, state, action, state2):
return 1
de... | true | true |
1c32cf13fb47d925ee945cb67723304bbf17b044 | 2,298 | py | Python | tp_screening/tests/test_subject_screeing_form.py | MoffatMore/tp-screening | 20a98ba6fc57118968e507bdf5861cbdcada1848 | [
"MIT"
] | null | null | null | tp_screening/tests/test_subject_screeing_form.py | MoffatMore/tp-screening | 20a98ba6fc57118968e507bdf5861cbdcada1848 | [
"MIT"
] | null | null | null | tp_screening/tests/test_subject_screeing_form.py | MoffatMore/tp-screening | 20a98ba6fc57118968e507bdf5861cbdcada1848 | [
"MIT"
] | null | null | null | '''
Created on Jun 22, 2018
@author: moffat
'''
from django.test import TestCase, tag
from edc_constants.constants import YES, FEMALE, NO, NOT_APPLICABLE
from ..forms import SubjectScreeningForm
from edc_base.utils import get_utcnow
from copy import copy
@tag('TestSubjectForm')
class TestSubjectScreeningForm(TestCa... | 31.916667 | 67 | 0.622715 |
from django.test import TestCase, tag
from edc_constants.constants import YES, FEMALE, NO, NOT_APPLICABLE
from ..forms import SubjectScreeningForm
from edc_base.utils import get_utcnow
from copy import copy
@tag('TestSubjectForm')
class TestSubjectScreeningForm(TestCase):
def setUp(self):
self.screening... | true | true |
1c32d0dbb302a6369ad6d5b15600eda528f552aa | 38,427 | py | Python | atlassian/bamboo.py | ezchi/atlassian-python-api | 721a4895348fc410b4781f2c1af01b6ddf80b9c5 | [
"Apache-2.0"
] | null | null | null | atlassian/bamboo.py | ezchi/atlassian-python-api | 721a4895348fc410b4781f2c1af01b6ddf80b9c5 | [
"Apache-2.0"
] | null | null | null | atlassian/bamboo.py | ezchi/atlassian-python-api | 721a4895348fc410b4781f2c1af01b6ddf80b9c5 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
import logging
from requests.exceptions import HTTPError
from .rest_client import AtlassianRestAPI
log = logging.getLogger(__name__)
class Bamboo(AtlassianRestAPI):
"""Private methods"""
def _get_generator(
self,
path,
elements_key="results",
element_key="res... | 35.449262 | 120 | 0.601608 |
import logging
from requests.exceptions import HTTPError
from .rest_client import AtlassianRestAPI
log = logging.getLogger(__name__)
class Bamboo(AtlassianRestAPI):
def _get_generator(
self,
path,
elements_key="results",
element_key="result",
data=None,
flags=N... | true | true |
1c32d4d28c537a81e998d99b7abbb9c41bd7fce6 | 13,439 | py | Python | pdkb/test/aamas.py | QuMuLab/PDKB-Planning | 61a96c006b606aa051b2c7c9b5bfc9b6473d2a4d | [
"MIT"
] | 11 | 2020-05-11T15:32:49.000Z | 2021-09-14T17:49:48.000Z | pdkb/test/aamas.py | QuMuLab/PDKB-Planning | 61a96c006b606aa051b2c7c9b5bfc9b6473d2a4d | [
"MIT"
] | 1 | 2020-04-22T13:16:49.000Z | 2020-04-22T13:16:49.000Z | pdkb/test/aamas.py | QuMuLab/PDKB-Planning | 61a96c006b606aa051b2c7c9b5bfc9b6473d2a4d | [
"MIT"
] | 4 | 2020-04-16T08:51:17.000Z | 2021-09-14T17:51:50.000Z |
import sys, random, time
from pdkb.kd45 import *
from pdkb.indexed_kd45 import *
from pdkb.pinf import *
from pdkb.rml import *
from pdkb.test.utils import random_pdkb, random_rml, write_file, append_file
TYPE = 'normal'
NUM_PDKBS = 10
QUERIES_PER_PDKB = 10
if 'small' == TYPE:
AGENTS = (2,3)
DEPTH = (2,3)
... | 36.22372 | 193 | 0.564328 |
import sys, random, time
from pdkb.kd45 import *
from pdkb.indexed_kd45 import *
from pdkb.pinf import *
from pdkb.rml import *
from pdkb.test.utils import random_pdkb, random_rml, write_file, append_file
TYPE = 'normal'
NUM_PDKBS = 10
QUERIES_PER_PDKB = 10
if 'small' == TYPE:
AGENTS = (2,3)
DEPTH = (2,3)
... | true | true |
1c32d51cb8737141a11db3eef28fed93d17034df | 20,597 | py | Python | ixnetwork_restpy/testplatform/sessions/ixnetwork/quicktest/rfc3918ipmcminmaxlat_26e8ac413e1c57bed7d65373af19d55d.py | OpenIxia/ixnetwork_restpy | f628db450573a104f327cf3c737ca25586e067ae | [
"MIT"
] | 20 | 2019-05-07T01:59:14.000Z | 2022-02-11T05:24:47.000Z | ixnetwork_restpy/testplatform/sessions/ixnetwork/quicktest/rfc3918ipmcminmaxlat_26e8ac413e1c57bed7d65373af19d55d.py | OpenIxia/ixnetwork_restpy | f628db450573a104f327cf3c737ca25586e067ae | [
"MIT"
] | 60 | 2019-04-03T18:59:35.000Z | 2022-02-22T12:05:05.000Z | ixnetwork_restpy/testplatform/sessions/ixnetwork/quicktest/rfc3918ipmcminmaxlat_26e8ac413e1c57bed7d65373af19d55d.py | OpenIxia/ixnetwork_restpy | f628db450573a104f327cf3c737ca25586e067ae | [
"MIT"
] | 13 | 2019-05-20T10:48:31.000Z | 2021-10-06T07:45:44.000Z | # MIT LICENSE
#
# Copyright 1997 - 2020 by IXIA Keysight
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# the rights to use, copy, modify,... | 43.362105 | 193 | 0.646793 |
from ixnetwork_restpy.base import Base
from ixnetwork_restpy.files import Files
from typing import List, Any, Union
class Rfc3918ipmcMinMaxLat(Base):
__slots__ = ()
_SDM_NAME = 'rfc3918ipmcMinMaxLat'
_SDM_ATT_MAP = {
'ForceApplyQTConfig': 'forceApplyQTConfig',
'InputP... | true | true |
1c32d61fcb9418e9dcc63acc39db3553e81a2963 | 12,641 | py | Python | models/main.py | PKUxxz/simp-detr | c83846b1b6fc0e396e268dcfef278e162cf231c5 | [
"Apache-2.0"
] | null | null | null | models/main.py | PKUxxz/simp-detr | c83846b1b6fc0e396e268dcfef278e162cf231c5 | [
"Apache-2.0"
] | null | null | null | models/main.py | PKUxxz/simp-detr | c83846b1b6fc0e396e268dcfef278e162cf231c5 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import argparse
import datetime
import json
import random
import sys
import time
from pathlib import Path
import numpy as np
import torch
from torch.utils.data import DataLoader, DistributedSampler
sys.path.append("../../../lib")
import datasets
i... | 46.304029 | 119 | 0.624159 |
import argparse
import datetime
import json
import random
import sys
import time
from pathlib import Path
import numpy as np
import torch
from torch.utils.data import DataLoader, DistributedSampler
sys.path.append("../../../lib")
import datasets
import util.misc as utils
from datasets import build_dataset, get_coco_... | true | true |
1c32d66bea5628ee2e303da88010cebf2114cd34 | 5,646 | py | Python | tests/test_rdscluster.py | agiza/cloud-custodian | 9592d0f700970e05e89574280cfe0e1479c95228 | [
"Apache-2.0"
] | null | null | null | tests/test_rdscluster.py | agiza/cloud-custodian | 9592d0f700970e05e89574280cfe0e1479c95228 | [
"Apache-2.0"
] | null | null | null | tests/test_rdscluster.py | agiza/cloud-custodian | 9592d0f700970e05e89574280cfe0e1479c95228 | [
"Apache-2.0"
] | null | null | null | # Copyright 2016 Capital One Services, LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | 38.148649 | 90 | 0.591038 |
from common import BaseTest
from c7n.executor import MainThreadExecutor
from c7n.resources import rdscluster
class RDSClusterTest(BaseTest):
def test_rdscluster_simple(self):
session_factory = self.replay_flight_data('test_rdscluster_simple')
p = self.load_policy({
'name... | true | true |
1c32d68f3c087086e1183822232971de969a5f6a | 1,359 | py | Python | _bin/java2smali.py | HongxuChen/dotfiles | 4a51a74ae3345273514faccf40a47e1a39048049 | [
"MIT"
] | 13 | 2015-09-11T14:53:06.000Z | 2021-12-19T23:07:06.000Z | _bin/java2smali.py | HongxuChen/dotfiles | 4a51a74ae3345273514faccf40a47e1a39048049 | [
"MIT"
] | 5 | 2015-03-18T17:08:01.000Z | 2020-01-07T08:51:47.000Z | _bin/java2smali.py | HongxuChen/dotfiles | 4a51a74ae3345273514faccf40a47e1a39048049 | [
"MIT"
] | 4 | 2016-12-27T14:52:19.000Z | 2019-05-16T07:07:53.000Z | #!/usr/bin/env python3
from __future__ import print_function
import os
import shutil
import subprocess
version = "1.6"
name = "_java2smali"
dex_type = "apk"
def require(cond, msg):
if not cond:
raise Exception(msg)
def run(cmd):
print("=> {}".format(cmd))
subprocess.call(cmd.split())
def ... | 21.234375 | 74 | 0.629139 |
from __future__ import print_function
import os
import shutil
import subprocess
version = "1.6"
name = "_java2smali"
dex_type = "apk"
def require(cond, msg):
if not cond:
raise Exception(msg)
def run(cmd):
print("=> {}".format(cmd))
subprocess.call(cmd.split())
def java2jar(d):
java_... | true | true |
1c32d71d45f237e8444736f93738b7e89ba16125 | 1,225 | py | Python | setup.py | dreamkeep/hbp-neuromorphic-client | e4268321e12d6bb0da600ed977d088317b7c47d9 | [
"Apache-2.0"
] | 1 | 2019-12-24T04:29:11.000Z | 2019-12-24T04:29:11.000Z | setup.py | dreamkeep/hbp-neuromorphic-client | e4268321e12d6bb0da600ed977d088317b7c47d9 | [
"Apache-2.0"
] | null | null | null | setup.py | dreamkeep/hbp-neuromorphic-client | e4268321e12d6bb0da600ed977d088317b7c47d9 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from distutils.core import setup
long_description = open("README.md").read()
setup(
name="hbp_neuromorphic_platform",
version='0.7.2',
packages=['nmpi'],
install_requires=['requests',],
author="Andrew P. Davison and Domenico Guarino",
author_email... | 36.029412 | 94 | 0.638367 |
from distutils.core import setup
long_description = open("README.md").read()
setup(
name="hbp_neuromorphic_platform",
version='0.7.2',
packages=['nmpi'],
install_requires=['requests',],
author="Andrew P. Davison and Domenico Guarino",
author_email="andrew.davison@unic.cnrs-gif.fr",
desc... | true | true |
1c32d7a8998db158d1459d6bbf46c622488c673c | 1,185 | py | Python | setup.py | woolfson-group/array_sensing | ae9e0c7d9137e4034d183ebc920b7ee6352ebc93 | [
"MIT"
] | null | null | null | setup.py | woolfson-group/array_sensing | ae9e0c7d9137e4034d183ebc920b7ee6352ebc93 | [
"MIT"
] | null | null | null | setup.py | woolfson-group/array_sensing | ae9e0c7d9137e4034d183ebc920b7ee6352ebc93 | [
"MIT"
] | null | null | null |
from setuptools import setup, find_packages
with open('README.md', 'r') as f:
long_description = f.read()
setup(
name='array_sensing',
packages=find_packages(),
version='0.1.0',
description=('BADASS_ML: A package to parse the input data and run ML '
'on fluorescence data collecte... | 40.862069 | 79 | 0.611814 |
from setuptools import setup, find_packages
with open('README.md', 'r') as f:
long_description = f.read()
setup(
name='array_sensing',
packages=find_packages(),
version='0.1.0',
description=('BADASS_ML: A package to parse the input data and run ML '
'on fluorescence data collecte... | true | true |
1c32d7f72ce35c184dd89232c5ca0cace531ab3f | 1,034 | py | Python | efilter_tests/unit/protocols/applicative.py | Onager/dotty | b145131499be0c4b755fc2e2ac19be11a50bce6a | [
"Apache-2.0"
] | 54 | 2015-08-02T14:26:50.000Z | 2021-10-21T02:44:25.000Z | efilter_tests/unit/protocols/applicative.py | Onager/dotty | b145131499be0c4b755fc2e2ac19be11a50bce6a | [
"Apache-2.0"
] | 23 | 2015-11-27T10:08:58.000Z | 2017-09-27T08:54:56.000Z | efilter_tests/unit/protocols/applicative.py | Onager/dotty | b145131499be0c4b755fc2e2ac19be11a50bce6a | [
"Apache-2.0"
] | 16 | 2015-08-14T10:11:20.000Z | 2021-10-21T02:44:18.000Z | # EFILTER Forensic Query Language
#
# Copyright 2015 Google Inc. 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
#
# Un... | 27.945946 | 74 | 0.752418 |
__author__ = "Adam Sindelar <adamsh@google.com>"
import unittest
from efilter_tests import mocks
from efilter.protocols import applicative
class ApplicativeTest(unittest.TestCase):
def testApplyingFunction(self):
result = applicative.apply(mocks.MockFunction(), [10], dict(y=20))
... | true | true |
1c32d80c636c7007f06dbb384a20862f86d2b290 | 8,945 | py | Python | tests/test_segmentation.py | goitom/eemeter | bb05d5b776546858f8f3a8d3a95bec202728d9f0 | [
"Apache-2.0"
] | null | null | null | tests/test_segmentation.py | goitom/eemeter | bb05d5b776546858f8f3a8d3a95bec202728d9f0 | [
"Apache-2.0"
] | null | null | null | tests/test_segmentation.py | goitom/eemeter | bb05d5b776546858f8f3a8d3a95bec202728d9f0 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Copyright 2018 Open Energy Efficiency, Inc.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICE... | 32.060932 | 85 | 0.651202 |
import json
import numpy as np
import pandas as pd
import pytest
from eemeter.segmentation import (
CalTRACKSegmentModel,
SegmentedModel,
segment_time_series,
iterate_segmented_dataset,
)
@pytest.fixture
def index_8760():
return pd.date_range("2017-01-01", periods=365 * 24, freq="H", tz="UTC")
... | true | true |
1c32d8431f0489ef556ac058fc71283341a5757d | 64 | py | Python | setup.py | ken2403/schnettriple | 28df9c89648f07524b563c0b9b58d93d9264869c | [
"MIT"
] | null | null | null | setup.py | ken2403/schnettriple | 28df9c89648f07524b563c0b9b58d93d9264869c | [
"MIT"
] | null | null | null | setup.py | ken2403/schnettriple | 28df9c89648f07524b563c0b9b58d93d9264869c | [
"MIT"
] | null | null | null | import setuptools
# argumet is in setup.cfg
setuptools.setup()
| 12.8 | 25 | 0.78125 | import setuptools
setuptools.setup()
| true | true |
1c32d8bc34e95480e3ea1a50f32460e724aa0965 | 36,950 | py | Python | src/models/model.py | CrafterKolyan/IRNet-1 | 72df5c876f368ae4a1b594e7a740ff966dbbd3ba | [
"MIT"
] | 223 | 2019-11-11T09:06:51.000Z | 2022-03-17T06:55:56.000Z | src/models/model.py | KevinQian97/Semantic-Error-Correction | 0cbad02e4a6c8638af12c14856df84d143f9299d | [
"Apache-2.0"
] | 50 | 2019-11-17T08:08:09.000Z | 2022-02-13T08:54:02.000Z | src/models/model.py | KevinQian97/Semantic-Error-Correction | 0cbad02e4a6c8638af12c14856df84d143f9299d | [
"Apache-2.0"
] | 86 | 2019-11-11T09:07:50.000Z | 2022-02-14T07:41:33.000Z | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
# -*- coding: utf-8 -*-
"""
# @Time : 2019/5/25
# @Author : Jiaqi&Zecheng
# @File : model.py
# @Software: PyCharm
"""
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.nn.utils... | 48.300654 | 140 | 0.532476 |
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.nn.utils
from torch.autograd import Variable
from src.beam import Beams, ActionInfo
from src.dataset import Batch
from src.models import nn_utils
from src.models.basic_model import BasicModel
from src.mod... | true | true |
1c32dbb26c5581a55894974e838f48581581ce9e | 20,395 | py | Python | cnns/foolbox/foolbox_2_3_0/attacks/hop_skip_jump_attack.py | anonymous-user-commits/perturb-net | 66fc7c4a1234fa34b92bcc85751f0a6e23d80a23 | [
"MIT"
] | 12 | 2021-07-27T07:18:24.000Z | 2022-03-09T13:52:20.000Z | cnns/foolbox/foolbox_2_3_0/attacks/hop_skip_jump_attack.py | anonymous-user-commits/perturb-net | 66fc7c4a1234fa34b92bcc85751f0a6e23d80a23 | [
"MIT"
] | 2 | 2021-08-03T09:21:33.000Z | 2021-12-29T14:25:30.000Z | cnns/foolbox/foolbox_2_3_0/attacks/hop_skip_jump_attack.py | anonymous-user-commits/perturb-net | 66fc7c4a1234fa34b92bcc85751f0a6e23d80a23 | [
"MIT"
] | 3 | 2021-11-18T14:46:40.000Z | 2022-01-03T15:47:23.000Z | import warnings
import time
import sys
from .base import Attack
from .base import generator_decorator
from ..distances import MSE, Linf
from ..criteria import Misclassification
import numpy as np
import math
from warnings import warn
import logging
class HopSkipJumpAttack(Attack):
"""A powerful adversarial attac... | 37.559853 | 102 | 0.54783 | import warnings
import time
import sys
from .base import Attack
from .base import generator_decorator
from ..distances import MSE, Linf
from ..criteria import Misclassification
import numpy as np
import math
from warnings import warn
import logging
class HopSkipJumpAttack(Attack):
@generator_decorator
def a... | true | true |
1c32dd699853256f1e8ca3c43d488c9561e77f45 | 374 | py | Python | Exe13_Dias_da_semana.py | lucaslk122/Exercicios_Python_estutura_decisao | 51a9699c5d85aa6cfb163d891c56e804a7255634 | [
"MIT"
] | null | null | null | Exe13_Dias_da_semana.py | lucaslk122/Exercicios_Python_estutura_decisao | 51a9699c5d85aa6cfb163d891c56e804a7255634 | [
"MIT"
] | null | null | null | Exe13_Dias_da_semana.py | lucaslk122/Exercicios_Python_estutura_decisao | 51a9699c5d85aa6cfb163d891c56e804a7255634 | [
"MIT"
] | null | null | null | print("Digite um numero inteiro, de 1 a 7 que retornarei qual dia da semana é")
dia = int(input())
if dia == 1:
print("Domingo")
elif dia == 2:
print("Segunda")
elif dia == 3:
print("Terça")
elif dia == 4:
print("Quarta")
elif dia == 5:
print("Quinta")
elif dia == 6:
print("Sexta")
elif dia == ... | 20.777778 | 79 | 0.593583 | print("Digite um numero inteiro, de 1 a 7 que retornarei qual dia da semana é")
dia = int(input())
if dia == 1:
print("Domingo")
elif dia == 2:
print("Segunda")
elif dia == 3:
print("Terça")
elif dia == 4:
print("Quarta")
elif dia == 5:
print("Quinta")
elif dia == 6:
print("Sexta")
elif dia == ... | true | true |
1c32dd85b8535f53247c6abf36aeeb797e6fcb1c | 10,005 | py | Python | mealpy/bio_based/VCS.py | Alhassan20/mealpy | 7ed365c5c495ad1c1e066662c90159b3d5e9b8e3 | [
"MIT"
] | 162 | 2020-08-31T10:13:06.000Z | 2022-03-31T09:38:19.000Z | mealpy/bio_based/VCS.py | Alhassan20/mealpy | 7ed365c5c495ad1c1e066662c90159b3d5e9b8e3 | [
"MIT"
] | 51 | 2020-09-13T10:46:31.000Z | 2022-03-30T06:12:08.000Z | mealpy/bio_based/VCS.py | Alhassan20/mealpy | 7ed365c5c495ad1c1e066662c90159b3d5e9b8e3 | [
"MIT"
] | 58 | 2020-09-12T13:29:18.000Z | 2022-03-31T09:38:21.000Z | #!/usr/bin/env python
# ------------------------------------------------------------------------------------------------------%
# Created by "Thieu Nguyen" at 22:07, 11/04/2020 %
# ... | 51.572165 | 148 | 0.53963 |
from numpy import sum, log1p, array, mean, prod, abs, where
from numpy.random import uniform, normal, choice
from copy import deepcopy
from mealpy.optimizer import Root
class BaseVCS(Root):
def __init__(self, obj_func=None, lb=None, ub=None, verbose=True, epoch=750, pop_size=100, lamda=0.5, xichma=0.3, ... | true | true |
1c32de006462a0aee12320703b3287e24affe290 | 2,477 | py | Python | sdk/python/pulumi_azure_nextgen/kusto/v20190121/list_database_principals.py | test-wiz-sec/pulumi-azure-nextgen | 20a695af0d020b34b0f1c336e1b69702755174cc | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_nextgen/kusto/v20190121/list_database_principals.py | test-wiz-sec/pulumi-azure-nextgen | 20a695af0d020b34b0f1c336e1b69702755174cc | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_nextgen/kusto/v20190121/list_database_principals.py | test-wiz-sec/pulumi-azure-nextgen | 20a695af0d020b34b0f1c336e1b69702755174cc | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from... | 35.898551 | 152 | 0.69237 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from . import outputs
__all__ = [
'ListDatabasePrincipalsResult',
'AwaitableListDatabasePrincipalsResult',
'list_database_principals',
]
@pulumi.output_typ... | true | true |
1c32de7addcb2901a9b6caafd9376cc644a4b77e | 3,229 | py | Python | PythonBaseDemo/GraphicInterfaceProgrammin/11.8/manipulate_tag.py | CypHelp/TestNewWorldDemo | ee6f73df05756f191c1c56250fa290461fdd1b9a | [
"Apache-2.0"
] | null | null | null | PythonBaseDemo/GraphicInterfaceProgrammin/11.8/manipulate_tag.py | CypHelp/TestNewWorldDemo | ee6f73df05756f191c1c56250fa290461fdd1b9a | [
"Apache-2.0"
] | null | null | null | PythonBaseDemo/GraphicInterfaceProgrammin/11.8/manipulate_tag.py | CypHelp/TestNewWorldDemo | ee6f73df05756f191c1c56250fa290461fdd1b9a | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
#########################################################################
# 网站: <a href="http://www.crazyit.org">疯狂Java联盟</a> #
# author yeeku.H.lee kongyeeku@163.com #
# #
# version 1.0 ... | 42.486842 | 85 | 0.453081 | true | true | |
1c32deb9492bfcf889a68577e3dc4879fd4a245c | 566 | py | Python | consul/consul_rce_poc.py | JnuSimba/vulhub | d5491ee0b39dab4f92829ef35d99be9ad25500c5 | [
"MIT"
] | 3 | 2020-12-16T14:35:17.000Z | 2020-12-22T03:15:50.000Z | consul/consul_rce_poc.py | JnuSimba/vulhub | d5491ee0b39dab4f92829ef35d99be9ad25500c5 | [
"MIT"
] | null | null | null | consul/consul_rce_poc.py | JnuSimba/vulhub | d5491ee0b39dab4f92829ef35d99be9ad25500c5 | [
"MIT"
] | null | null | null | # -*- coding: UTF-8 -*-
import requests
data = {
"ID": "http",
"Name": "http",
"Address": "127.0.0.1",
"Port": 80,
"check": {
#"script": "sh -i >& /dev/tcp/119.1.1.28/8080 0>&1", # bash may not exist
# 某些镜像 /dev/tcp 目录不存在会导致失败
# docker 里面可以... | 31.444444 | 83 | 0.515901 |
import requests
data = {
"ID": "http",
"Name": "http",
"Address": "127.0.0.1",
"Port": 80,
"check": {
"script":"touch /tmp/simba.txt",
"interval": "10s"
}
}
result = requests.put("http://127.0.0.1:1998/v1/agent/service... | false | true |
1c32deff61557b7a2ba4518c3ad36f40f29a3a21 | 964 | py | Python | kubernetes/test/test_v1_replica_set_list.py | Scalr/kubernetes-client-python | 07442bdb76f0876ec96c0b0da6f9c4b06d7e5e38 | [
"Apache-2.0"
] | 3 | 2019-05-19T05:05:37.000Z | 2020-03-20T04:56:20.000Z | kubernetes/test/test_v1_replica_set_list.py | Scalr/kubernetes-client-python | 07442bdb76f0876ec96c0b0da6f9c4b06d7e5e38 | [
"Apache-2.0"
] | null | null | null | kubernetes/test/test_v1_replica_set_list.py | Scalr/kubernetes-client-python | 07442bdb76f0876ec96c0b0da6f9c4b06d7e5e38 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: v1.13.5
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import os
import sys
i... | 21.422222 | 105 | 0.709544 |
from __future__ import absolute_import
import os
import sys
import unittest
import kubernetes.client
from kubernetes.client.rest import ApiException
from kubernetes.client.models.v1_replica_set_list import V1ReplicaSetList
class TestV1ReplicaSetList(unittest.TestCase):
def setUp(self):
pass
de... | true | true |
1c32dfb7d010be6550570f6a03b005a2b2b34c94 | 536 | py | Python | apidocs/search_es.py | kleag/external-knowledge-codegen | 9b6562a549d4bad755fa99a3bee15521fac59e97 | [
"Apache-2.0"
] | null | null | null | apidocs/search_es.py | kleag/external-knowledge-codegen | 9b6562a549d4bad755fa99a3bee15521fac59e97 | [
"Apache-2.0"
] | null | null | null | apidocs/search_es.py | kleag/external-knowledge-codegen | 9b6562a549d4bad755fa99a3bee15521fac59e97 | [
"Apache-2.0"
] | null | null | null | import json
import pprint
import sys
from elasticsearch import Elasticsearch
def get_top_k(query, k=5):
results = es.search(index='python-code', params={"q": query})['hits']['hits'][:k]
for doc in results:
print("Score: ", doc['_score'])
print("Docstring: ", doc['_source']['intent'])
p... | 26.8 | 85 | 0.602612 | import json
import pprint
import sys
from elasticsearch import Elasticsearch
def get_top_k(query, k=5):
results = es.search(index='python-code', params={"q": query})['hits']['hits'][:k]
for doc in results:
print("Score: ", doc['_score'])
print("Docstring: ", doc['_source']['intent'])
p... | true | true |
1c32e058405e630fce30abbd6463173e1df2acbe | 16,138 | py | Python | optimus/helpers/constants.py | liRONCO11/optimus | 0ca0567267300397c7ba711483c46f94ac265e55 | [
"Apache-2.0"
] | null | null | null | optimus/helpers/constants.py | liRONCO11/optimus | 0ca0567267300397c7ba711483c46f94ac265e55 | [
"Apache-2.0"
] | null | null | null | optimus/helpers/constants.py | liRONCO11/optimus | 0ca0567267300397c7ba711483c46f94ac265e55 | [
"Apache-2.0"
] | null | null | null | from enum import Enum
from optimus.helpers.logger import logger
# Python to PySpark reference
#
# type(None): NullType,
# bool: BooleanType,
# int: LongType,
# float: DoubleType,
# str: StringType,
# bytearray: BinaryType,
# decimal.Decimal: DecimalType,
# datetime.date: DateType,
# datetime.datetime: TimestampType,... | 27.680961 | 119 | 0.468212 | from enum import Enum
from optimus.helpers.logger import logger
class Actions(Enum):
PROFILER_DTYPE = "profiler_dtype"
MATCH = "match"
LOWER = "lower"
UPPER = "upper"
PROPER = "proper"
PAD = "pad"
TRIM = "trim"
REVERSE = "reverse"
REMOVE_ACCENTS = "remove"
... | true | true |
1c32e11606263dcf39250cd485f75133e0df204e | 931 | py | Python | surveyapp/app/app/database.py | danielSilva21/interlinker-service-augmenter | 54b6ab3b9f2c21fd4779a03839842534544b9f9b | [
"MIT"
] | null | null | null | surveyapp/app/app/database.py | danielSilva21/interlinker-service-augmenter | 54b6ab3b9f2c21fd4779a03839842534544b9f9b | [
"MIT"
] | null | null | null | surveyapp/app/app/database.py | danielSilva21/interlinker-service-augmenter | 54b6ab3b9f2c21fd4779a03839842534544b9f9b | [
"MIT"
] | null | null | null | import logging
from motor.motor_asyncio import AsyncIOMotorClient, AsyncIOMotorCollection
from app.config import settings
import os
MAX_CONNECTIONS_COUNT = int(os.getenv("MAX_CONNECTIONS_COUNT", 10))
MIN_CONNECTIONS_COUNT = int(os.getenv("MIN_CONNECTIONS_COUNT", 10))
class DataBase:
client: AsyncIOMotorClient = N... | 33.25 | 74 | 0.728249 | import logging
from motor.motor_asyncio import AsyncIOMotorClient, AsyncIOMotorCollection
from app.config import settings
import os
MAX_CONNECTIONS_COUNT = int(os.getenv("MAX_CONNECTIONS_COUNT", 10))
MIN_CONNECTIONS_COUNT = int(os.getenv("MIN_CONNECTIONS_COUNT", 10))
class DataBase:
client: AsyncIOMotorClient = N... | true | true |
1c32e27a764119e0c51f69ff7e5bfdd210ef0fc7 | 4,886 | py | Python | rlpyt/samplers/collectors.py | tristandeleu/rlpyt | 22eccb4e2b33d3c52947a27b6d300b575e36a3ea | [
"MIT"
] | 1 | 2021-04-24T16:42:18.000Z | 2021-04-24T16:42:18.000Z | rlpyt/samplers/collectors.py | tristandeleu/rlpyt | 22eccb4e2b33d3c52947a27b6d300b575e36a3ea | [
"MIT"
] | null | null | null | rlpyt/samplers/collectors.py | tristandeleu/rlpyt | 22eccb4e2b33d3c52947a27b6d300b575e36a3ea | [
"MIT"
] | null | null | null |
import numpy as np
from rlpyt.agents.base import AgentInputs
from rlpyt.utils.buffer import buffer_from_example, torchify_buffer, numpify_buffer
from rlpyt.utils.logging import logger
class BaseCollector:
"""Class that steps environments, possibly in worker process."""
def __init__(
self,
... | 36.192593 | 85 | 0.586779 |
import numpy as np
from rlpyt.agents.base import AgentInputs
from rlpyt.utils.buffer import buffer_from_example, torchify_buffer, numpify_buffer
from rlpyt.utils.logging import logger
class BaseCollector:
def __init__(
self,
rank,
envs,
samples_np,
ba... | true | true |
1c32e4313ba1e38678b13425e96ab2875bc04622 | 1,760 | py | Python | graphrole/graph/interface/__init__.py | dkaslovsky/GraphRole | 5336a9c3c42f8f89565686ed44e321ce6cce1a69 | [
"MIT"
] | 60 | 2019-03-07T15:15:49.000Z | 2022-03-25T19:21:18.000Z | graphrole/graph/interface/__init__.py | dkaslovsky/GraphRole | 5336a9c3c42f8f89565686ed44e321ce6cce1a69 | [
"MIT"
] | 5 | 2020-08-24T08:51:40.000Z | 2021-12-08T06:50:47.000Z | graphrole/graph/interface/__init__.py | dkaslovsky/GraphRole | 5336a9c3c42f8f89565686ed44e321ce6cce1a69 | [
"MIT"
] | 17 | 2019-08-02T04:15:50.000Z | 2022-03-16T21:32:23.000Z | from typing import List, TypeVar
from graphrole.graph.interface.base import BaseGraphInterface
from graphrole.graph.interface.networkx import NetworkxInterface
# IgraphInterface should not be imported if igraph is not installed
try:
from graphrole.graph.interface.igraph import IgraphInterface
except ImportError:
... | 32.592593 | 76 | 0.725568 | from typing import List, TypeVar
from graphrole.graph.interface.base import BaseGraphInterface
from graphrole.graph.interface.networkx import NetworkxInterface
try:
from graphrole.graph.interface.igraph import IgraphInterface
except ImportError:
pass
INTERFACES = {
'networkx': NetworkxInterface,
... | true | true |
1c32e5600b4003e9f85a4060cae7a7cc3ab0c06e | 43 | py | Python | Ejercicio2.0.py | acasasaez/Warm-up | 9b97ee8d7d4a1c6e0b577b392c5fd62d5e1727f3 | [
"Apache-2.0"
] | null | null | null | Ejercicio2.0.py | acasasaez/Warm-up | 9b97ee8d7d4a1c6e0b577b392c5fd62d5e1727f3 | [
"Apache-2.0"
] | null | null | null | Ejercicio2.0.py | acasasaez/Warm-up | 9b97ee8d7d4a1c6e0b577b392c5fd62d5e1727f3 | [
"Apache-2.0"
] | null | null | null | print (chr(27)+ "[0;32;40m" + "Hola Mundo") | 43 | 43 | 0.581395 | print (chr(27)+ "[0;32;40m" + "Hola Mundo") | true | true |
1c32e56a8b489e0337bcce9ebcb6a97161fef89f | 518 | py | Python | plotly/validators/layout/slider/_templateitemname.py | gnestor/plotly.py | a8ae062795ddbf9867b8578fe6d9e244948c15ff | [
"MIT"
] | 12 | 2020-04-18T18:10:22.000Z | 2021-12-06T10:11:15.000Z | plotly/validators/layout/slider/_templateitemname.py | Vesauza/plotly.py | e53e626d59495d440341751f60aeff73ff365c28 | [
"MIT"
] | 27 | 2020-04-28T21:23:12.000Z | 2021-06-25T15:36:38.000Z | plotly/validators/layout/slider/_templateitemname.py | Vesauza/plotly.py | e53e626d59495d440341751f60aeff73ff365c28 | [
"MIT"
] | 6 | 2020-04-18T23:07:08.000Z | 2021-11-18T07:53:06.000Z | import _plotly_utils.basevalidators
class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name='templateitemname',
parent_name='layout.slider',
**kwargs
):
super(TemplateitemnameValidator, self).__init__(
... | 27.263158 | 78 | 0.627413 | import _plotly_utils.basevalidators
class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name='templateitemname',
parent_name='layout.slider',
**kwargs
):
super(TemplateitemnameValidator, self).__init__(
... | true | true |
1c32e6ea491d0cdacd28a51303b5f5cb694e4266 | 11,781 | py | Python | landsat/landsat.py | willemarcel/landsat-util | 5804331f4f3d757312931c2ede5714cf7407f60c | [
"CC0-1.0"
] | 1 | 2017-02-17T13:27:09.000Z | 2017-02-17T13:27:09.000Z | landsat/landsat.py | willemarcel/landsat-util | 5804331f4f3d757312931c2ede5714cf7407f60c | [
"CC0-1.0"
] | null | null | null | landsat/landsat.py | willemarcel/landsat-util | 5804331f4f3d757312931c2ede5714cf7407f60c | [
"CC0-1.0"
] | null | null | null | #!/usr/bin/env python
# USGS Landsat Imagery Util
#
#
# Author: developmentseed
# Contributer: scisco, KAPPS-
#
# License: CC0 1.0 Universal
from __future__ import print_function
import sys
import subprocess
import argparse
import textwrap
import json
from dateutil.parser import parse
from gs_helper import GsHelper... | 39.800676 | 87 | 0.482811 |
from __future__ import print_function
import sys
import subprocess
import argparse
import textwrap
import json
from dateutil.parser import parse
from gs_helper import GsHelper
from clipper_helper import Clipper
from search_helper import Search
from general_helper import reformat_date
from image_helper impor... | true | true |
1c32e6f4423ee74d820255630e8ed91535e91b01 | 2,986 | py | Python | tools/ad_map_access_qgis/ad_map_access_qgis/MapSnappingTest.py | woojinjjang/map-1 | d12bb410f03d078a995130b4e671746ace8b6287 | [
"MIT"
] | 61 | 2019-12-19T20:57:24.000Z | 2022-03-29T15:20:51.000Z | tools/ad_map_access_qgis/ad_map_access_qgis/MapSnappingTest.py | woojinjjang/map-1 | d12bb410f03d078a995130b4e671746ace8b6287 | [
"MIT"
] | 54 | 2020-04-05T05:32:47.000Z | 2022-03-15T18:42:33.000Z | tools/ad_map_access_qgis/ad_map_access_qgis/MapSnappingTest.py | woojinjjang/map-1 | d12bb410f03d078a995130b4e671746ace8b6287 | [
"MIT"
] | 31 | 2019-12-20T07:37:39.000Z | 2022-03-16T13:06:16.000Z | # ----------------- BEGIN LICENSE BLOCK ---------------------------------
#
# Copyright (C) 2018-2021 Intel Corporation
#
# SPDX-License-Identifier: MIT
#
# ----------------- END LICENSE BLOCK -----------------------------------
"..."
import ad_map_access as ad
import Globs
from qgis.gui import QgsMapToolEmitPoint
from... | 35.547619 | 202 | 0.543202 |
import ad_map_access as ad
import Globs
from qgis.gui import QgsMapToolEmitPoint
from qgis.core import QgsField
from PyQt5.QtCore import QVariant
import qgis.PyQt.QtCore
from .QGISLayer import WGS84PointLayer
class MapSnappingTest(QgsMapToolEmitPoint):
TITLE = "Map-Snapped"
SYMBOL = "diamond"
COLO... | true | true |
1c32e7e594a8a0d9fba4cbb31dabf80383c02ce9 | 1,190 | py | Python | py/py_0183_maximum_product_of_parts.py | lcsm29/project-euler | fab794ece5aa7a11fc7c2177f26250f40a5b1447 | [
"MIT"
] | null | null | null | py/py_0183_maximum_product_of_parts.py | lcsm29/project-euler | fab794ece5aa7a11fc7c2177f26250f40a5b1447 | [
"MIT"
] | null | null | null | py/py_0183_maximum_product_of_parts.py | lcsm29/project-euler | fab794ece5aa7a11fc7c2177f26250f40a5b1447 | [
"MIT"
] | null | null | null | # Solution of;
# Project Euler Problem 183: Maximum product of parts
# https://projecteuler.net/problem=183
#
# Let N be a positive integer and let N be split into k equal parts, r = N/k,
# so that N = r + r + . . . + r. Let P be the product of these parts, P = r ×
# r × . . . × r = rk. For example, if 11 is split i... | 38.387097 | 79 | 0.633613 |
import timed
def dummy(n):
pass
if __name__ == '__main__':
n = 1000
i = 10000
prob_id = 183
timed.caller(dummy, n, i, prob_id)
| true | true |
1c32e9360606b10ab00f8696f91f0d35e73a7e74 | 7,471 | py | Python | fastr/DrivenExtraction.py | remydecoupes/covid19-tweets-mood-tetis | beb3553f7c080f283751d2be14990475008bd82d | [
"CECILL-B"
] | null | null | null | fastr/DrivenExtraction.py | remydecoupes/covid19-tweets-mood-tetis | beb3553f7c080f283751d2be14990475008bd82d | [
"CECILL-B"
] | null | null | null | fastr/DrivenExtraction.py | remydecoupes/covid19-tweets-mood-tetis | beb3553f7c080f283751d2be14990475008bd82d | [
"CECILL-B"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Tue May 9 14:07:38 2017
For: UMR TETIS RESEARCH UNIT
Author: Gaurav_Shrivastava
"""
import os
import sys
import numpy as np
import pandas as pd
import nltk
import re
import matplotlib as plt
import json
from collections import defaultdict
from nltk.stem.porter impor... | 29.070039 | 119 | 0.681435 |
import os
import sys
import numpy as np
import pandas as pd
import nltk
import re
import matplotlib as plt
import json
from collections import defaultdict
from nltk.stem.porter import PorterStemmer
from nltk.corpus import stopwords
from nltk.corpus import wordnet as wn
import argparse
def is_noun(tag):
... | true | true |
1c32e9a0925ed2999d02030f82708738ca6d9199 | 22,061 | py | Python | language/install.py | ritabt/legion | 62d9a513bb85050995b1837d132faddce9c1a8a4 | [
"Apache-2.0"
] | null | null | null | language/install.py | ritabt/legion | 62d9a513bb85050995b1837d132faddce9c1a8a4 | [
"Apache-2.0"
] | null | null | null | language/install.py | ritabt/legion | 62d9a513bb85050995b1837d132faddce9c1a8a4 | [
"Apache-2.0"
] | 1 | 2021-01-07T22:07:18.000Z | 2021-01-07T22:07:18.000Z | #!/usr/bin/env python
# Copyright 2020 Stanford University
#
# 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... | 43.427165 | 127 | 0.627351 |
from __future__ import print_function
import argparse, json, multiprocessing, os, platform, shutil, subprocess, sys
_version = sys.version_info.major
if _version == 2:
_input = raw_input
elif _version == 3:
_input = input
else:
raise Exception('Incompatible Python version')
make_ex... | true | true |
1c32ea71e1a82052c0748ab501146930d51a83c6 | 820 | py | Python | city_scrapers/spiders/cuya_archives_advisory.py | PaulR-Docs/city-scrapers-cle | 00f5db64b64e1ea0ddfa3b7f53d1f5db26c1042d | [
"MIT"
] | 14 | 2019-10-18T15:33:43.000Z | 2021-12-17T17:15:36.000Z | city_scrapers/spiders/cuya_archives_advisory.py | PaulR-Docs/city-scrapers-cle | 00f5db64b64e1ea0ddfa3b7f53d1f5db26c1042d | [
"MIT"
] | 35 | 2020-01-16T15:56:46.000Z | 2022-03-19T18:41:42.000Z | city_scrapers/spiders/cuya_archives_advisory.py | PaulR-Docs/city-scrapers-cle | 00f5db64b64e1ea0ddfa3b7f53d1f5db26c1042d | [
"MIT"
] | 13 | 2019-09-16T18:44:45.000Z | 2022-02-22T20:59:26.000Z | from city_scrapers_core.constants import ADVISORY_COMMITTEE
from city_scrapers_core.spiders import CityScrapersSpider
from city_scrapers.mixins import CuyaCountyMixin
class CuyaArchivesAdvisorySpider(CuyaCountyMixin, CityScrapersSpider):
name = "cuya_archives_advisory"
agency = "Cuyahoga County Archives Advi... | 37.272727 | 88 | 0.729268 | from city_scrapers_core.constants import ADVISORY_COMMITTEE
from city_scrapers_core.spiders import CityScrapersSpider
from city_scrapers.mixins import CuyaCountyMixin
class CuyaArchivesAdvisorySpider(CuyaCountyMixin, CityScrapersSpider):
name = "cuya_archives_advisory"
agency = "Cuyahoga County Archives Advi... | true | true |
1c32ec154452a68a67e0bffdbf3555ccbf090d30 | 12,694 | py | Python | src/bin/feature_extract.py | patrickltobing/shallow-wavenet | a7348805825e47a24e3ad0e759cecfe85284ba9f | [
"Apache-2.0"
] | 19 | 2020-02-28T06:25:26.000Z | 2021-04-22T06:28:16.000Z | src/bin/feature_extract.py | patrickltobing/shallow-wavenet | a7348805825e47a24e3ad0e759cecfe85284ba9f | [
"Apache-2.0"
] | null | null | null | src/bin/feature_extract.py | patrickltobing/shallow-wavenet | a7348805825e47a24e3ad0e759cecfe85284ba9f | [
"Apache-2.0"
] | 1 | 2020-05-03T10:54:59.000Z | 2020-05-03T10:54:59.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 2019 Patrick Lumban Tobing (Nagoya University)
# based on PyTorch implementation for WaveNet vocoder by Tomoki Hayashi (Nagoya University)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
from __future__ import division
from __future__ import print_... | 34.778082 | 109 | 0.606507 |
from __future__ import division
from __future__ import print_function
import argparse
import multiprocessing as mp
import os
import sys
from distutils.util import strtobool
import logging
import numpy as np
from numpy.matlib import repmat
from scipy.interpolate import interp1d
from scipy.signal import firwin
... | true | true |
1c32ec50134f1af67e3fc4a70e2f7a93960bbedc | 1,162 | py | Python | probs/prob38.py | mattrid93/ProjectEuler | 3e1cf1bad9581e526b37d17e20b5fe8af837c1c6 | [
"MIT"
] | null | null | null | probs/prob38.py | mattrid93/ProjectEuler | 3e1cf1bad9581e526b37d17e20b5fe8af837c1c6 | [
"MIT"
] | null | null | null | probs/prob38.py | mattrid93/ProjectEuler | 3e1cf1bad9581e526b37d17e20b5fe8af837c1c6 | [
"MIT"
] | null | null | null | """Problem 38: Pandigital multiples"""
import unittest
def is_pandigital(n):
"""Tests if n is a 1-9 pandigital"""
if len(str(n)) != 9:
return False
if "0" in str(n):
return False
return len(str(n)) == len(set(str(n)))
def multiply_by_1_m(n):
"""Returns concatenated product of n wit... | 27.023256 | 71 | 0.635972 | import unittest
def is_pandigital(n):
if len(str(n)) != 9:
return False
if "0" in str(n):
return False
return len(str(n)) == len(set(str(n)))
def multiply_by_1_m(n):
conc_product = ""
i = 1
while len(conc_product) < 9:
conc_product += str(n*i)
i += 1
return ... | true | true |
1c32ece427ef557825a544911d926880964c2989 | 1,052 | py | Python | Desafios/Mundo 2/ex065.py | lucasllimati/CursoEmVideo | 01d75626baf8b82f141d62f681e55a9bda0099fd | [
"MIT"
] | null | null | null | Desafios/Mundo 2/ex065.py | lucasllimati/CursoEmVideo | 01d75626baf8b82f141d62f681e55a9bda0099fd | [
"MIT"
] | null | null | null | Desafios/Mundo 2/ex065.py | lucasllimati/CursoEmVideo | 01d75626baf8b82f141d62f681e55a9bda0099fd | [
"MIT"
] | null | null | null | # 65
# Crie um programa que leia vários números inteiros pelo teclado. No final da execução, mostre a média entre todos os valores e qual foi o maior e o menor valores lidos. O programa deve perguntar ao usuário se ele quer ou não continuar a digitar valores.
# Description
# continuar ~> user response 'do you want to ... | 30.057143 | 254 | 0.615019 |
resp = 'S'
cont = 0
soma = 0
maior = 0
menor = 0
media = 0
while resp in 'Ss':
num = int(input('Digite um número: '))
soma += num
cont += 1
if cont == 1:
maior = num
menor = num
else:
if maior < num:
maior = num
if menor > num:
... | true | true |
1c32ed6ae2c9c4365fc5b168442472f647ec0389 | 2,778 | py | Python | wkz/file_helper/gpx_parser.py | Anyesh/workoutizer | 5cfdef5d08f63d59d6d7d7922540566f6500753b | [
"MIT"
] | 1 | 2021-09-11T16:09:27.000Z | 2021-09-11T16:09:27.000Z | wkz/file_helper/gpx_parser.py | MakhmudovMurod/workoutizer | 1509b711b43875c5f01d62ddbc182b0ee5e23dd2 | [
"MIT"
] | null | null | null | wkz/file_helper/gpx_parser.py | MakhmudovMurod/workoutizer | 1509b711b43875c5f01d62ddbc182b0ee5e23dd2 | [
"MIT"
] | null | null | null | import logging
import gpxpy
import gpxpy.gpx
from wkz.file_helper.parser import Parser
from wkz.gis.geo import get_total_distance_of_trace
log = logging.getLogger(__name__)
class GPXParser(Parser):
def __init__(self, path_to_file: str, md5sum: str):
super(GPXParser, self).__init__(path_to_file, md5sum)... | 36.552632 | 89 | 0.605832 | import logging
import gpxpy
import gpxpy.gpx
from wkz.file_helper.parser import Parser
from wkz.gis.geo import get_total_distance_of_trace
log = logging.getLogger(__name__)
class GPXParser(Parser):
def __init__(self, path_to_file: str, md5sum: str):
super(GPXParser, self).__init__(path_to_file, md5sum)... | true | true |
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