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f70b82a64651b669501101e2383b4a201ac4b9ba | 5,305 | py | Python | tests/test_content_download.py | easydo-cn/edo_client | 775f185c54f2eeda6a7dd6482de8228ca9ad89b0 | [
"Apache-2.0"
] | null | null | null | tests/test_content_download.py | easydo-cn/edo_client | 775f185c54f2eeda6a7dd6482de8228ca9ad89b0 | [
"Apache-2.0"
] | null | null | null | tests/test_content_download.py | easydo-cn/edo_client | 775f185c54f2eeda6a7dd6482de8228ca9ad89b0 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
import io
import os
import shutil
import tempfile
import unittest
from edo_client import WoClient
class ContentApi_DownloadTestCase(unittest.TestCase):
'''
- Basically this is to ensure
all the facilities related to HTTP range headers are working properly;
'''
@classmethod
... | 32.746914 | 106 | 0.590575 |
import io
import os
import shutil
import tempfile
import unittest
from edo_client import WoClient
class ContentApi_DownloadTestCase(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.file_size = 10 * (2 ** 20)
cls.download_url = 'http://192.168.1.115/docker/unittest/10mb.test'
... | true | true |
f70b82c0df0d88c5e8c371dcea1b15a28a5a37fd | 321 | py | Python | answers/Anuraj Pariya/Day 4/question 1.py | arc03/30-DaysOfCode-March-2021 | 6d6e11bf70280a578113f163352fa4fa8408baf6 | [
"MIT"
] | 22 | 2021-03-16T14:07:47.000Z | 2021-08-13T08:52:50.000Z | answers/Anuraj Pariya/Day 4/question 1.py | arc03/30-DaysOfCode-March-2021 | 6d6e11bf70280a578113f163352fa4fa8408baf6 | [
"MIT"
] | 174 | 2021-03-16T21:16:40.000Z | 2021-06-12T05:19:51.000Z | answers/Anuraj Pariya/Day 4/question 1.py | arc03/30-DaysOfCode-March-2021 | 6d6e11bf70280a578113f163352fa4fa8408baf6 | [
"MIT"
] | 135 | 2021-03-16T16:47:12.000Z | 2021-06-27T14:22:38.000Z | n=int(input('enter no.'))
factors = []
while n % 2 == 0:
factors.append(2)
n//=2
divisor=3
while n!=1 and divisor <=n:
if n% divisor == 0:
factors.append(divisor)
n//=divisor
else:
divisor+=2
print('prime factors is')
for i in range (len(factors)):
print(factors[i], end=" ")... | 18.882353 | 31 | 0.560748 | n=int(input('enter no.'))
factors = []
while n % 2 == 0:
factors.append(2)
n//=2
divisor=3
while n!=1 and divisor <=n:
if n% divisor == 0:
factors.append(divisor)
n//=divisor
else:
divisor+=2
print('prime factors is')
for i in range (len(factors)):
print(factors[i], end=" ")... | true | true |
f70b82ff4fbb8ab82c3cc5110fdd6e662a84733a | 9,806 | py | Python | salt/cli/caller.py | martin-helmich/salt | eed588f65b6c7e3b1fbd73bf618eba1d85b7cdb7 | [
"Apache-2.0"
] | null | null | null | salt/cli/caller.py | martin-helmich/salt | eed588f65b6c7e3b1fbd73bf618eba1d85b7cdb7 | [
"Apache-2.0"
] | null | null | null | salt/cli/caller.py | martin-helmich/salt | eed588f65b6c7e3b1fbd73bf618eba1d85b7cdb7 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
'''
The caller module is used as a front-end to manage direct calls to the salt
minion modules.
'''
# Import python libs
from __future__ import print_function
import os
import sys
import logging
import datetime
import traceback
# Import salt libs
import salt.exitcodes
import salt.loader
import... | 32.795987 | 80 | 0.538344 |
from __future__ import print_function
import os
import sys
import logging
import datetime
import traceback
import salt.exitcodes
import salt.loader
import salt.minion
import salt.output
import salt.payload
import salt.transport
import salt.utils.args
from salt._compat import string_types
from salt.log import LOG_L... | true | true |
f70b831d2289ee6bccaec8a8ac8e8f483a6803be | 17,388 | py | Python | PyFlow/UI/Widgets/PropertiesFramework.py | Kochera/PyFlow | 0f59c7127be696c514da276c003d2444cd3a1f9c | [
"Apache-2.0"
] | null | null | null | PyFlow/UI/Widgets/PropertiesFramework.py | Kochera/PyFlow | 0f59c7127be696c514da276c003d2444cd3a1f9c | [
"Apache-2.0"
] | null | null | null | PyFlow/UI/Widgets/PropertiesFramework.py | Kochera/PyFlow | 0f59c7127be696c514da276c003d2444cd3a1f9c | [
"Apache-2.0"
] | 1 | 2020-06-14T19:50:12.000Z | 2020-06-14T19:50:12.000Z | ## Copyright 2015-2019 Ilgar Lunin, Pedro Cabrera
## 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... | 38.8125 | 131 | 0.654762 | apsibleWidget(QtWidgets.QWidget):
def __init__(self, parent=None, headName="Collapse", noSpacer=True, collapsed=False):
super(CollapsibleWidget, self).__init__(parent)
self.setObjectName(self.__class__.__name__)
self.setupUi()
self.connectUi()
self.setButtonName(headName)
... | true | true |
f70b8423fc991d0b95cd0f26021b8c0e980bec5c | 31,695 | py | Python | docusign_esign/models/email_address.py | pivotal-energy-solutions/docusign-python-client | f3edd0b82e57999bc8848a63a0477712714ee437 | [
"MIT"
] | null | null | null | docusign_esign/models/email_address.py | pivotal-energy-solutions/docusign-python-client | f3edd0b82e57999bc8848a63a0477712714ee437 | [
"MIT"
] | null | null | null | docusign_esign/models/email_address.py | pivotal-energy-solutions/docusign-python-client | f3edd0b82e57999bc8848a63a0477712714ee437 | [
"MIT"
] | 1 | 2021-04-26T20:52:45.000Z | 2021-04-26T20:52:45.000Z | # coding: utf-8
"""
DocuSign REST API
The DocuSign REST API provides you with a powerful, convenient, and simple Web services API for interacting with DocuSign.
OpenAPI spec version: v2
Contact: devcenter@docusign.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from ppr... | 32.708978 | 690 | 0.629405 |
from pprint import pformat
from six import iteritems
import re
class EmailAddress(object):
def __init__(self, anchor_case_sensitive=None, anchor_horizontal_alignment=None, anchor_ignore_if_not_present=None, anchor_match_whole_word=None, anchor_string=None, anchor_units=None, anchor_x_offset=None, anchor_y_off... | true | true |
f70b85c39ef0540db908890e3580c1d06caf96f5 | 70 | py | Python | rltrain.py | leopd/jasrlp | 4ebc0a91bd0a5533aeb9b2d136612c862ec8f6a8 | [
"MIT"
] | 2 | 2019-12-02T04:32:36.000Z | 2019-12-03T03:17:40.000Z | rltrain.py | leopd/jasrlp | 4ebc0a91bd0a5533aeb9b2d136612c862ec8f6a8 | [
"MIT"
] | null | null | null | rltrain.py | leopd/jasrlp | 4ebc0a91bd0a5533aeb9b2d136612c862ec8f6a8 | [
"MIT"
] | null | null | null |
from rldqn import DQN, FCNet, RandomLearner
from rlddpg import DDPG
| 14 | 43 | 0.8 |
from rldqn import DQN, FCNet, RandomLearner
from rlddpg import DDPG
| true | true |
f70b86ad326a4d97bea318ce1998d3afe340e4cd | 368 | py | Python | scripts/ex_concat.py | spisakt/PUMI | bea29696aa90e5581f08919e1a2cd9f569284984 | [
"BSD-3-Clause"
] | 5 | 2018-06-12T08:17:13.000Z | 2022-02-25T20:07:00.000Z | scripts/ex_concat.py | spisakt/PUMI | bea29696aa90e5581f08919e1a2cd9f569284984 | [
"BSD-3-Clause"
] | null | null | null | scripts/ex_concat.py | spisakt/PUMI | bea29696aa90e5581f08919e1a2cd9f569284984 | [
"BSD-3-Clause"
] | 2 | 2020-10-19T15:27:28.000Z | 2021-06-04T17:02:27.000Z | #!/usr/bin/env python
import PUMI.utils.Concat as conc
conc=conc.concat_workflow(2)
conc.inputs.inputspec.par1="abc"
conc.inputs.inputspec.par2="def"
conc.write_graph('graph-orig.dot', graph2use='orig', simple_form=True);
conc.write_graph('graph-exec-detailed.dot', graph2use='exec', simple_form=False);
conc.write_gra... | 33.454545 | 81 | 0.769022 |
import PUMI.utils.Concat as conc
conc=conc.concat_workflow(2)
conc.inputs.inputspec.par1="abc"
conc.inputs.inputspec.par2="def"
conc.write_graph('graph-orig.dot', graph2use='orig', simple_form=True);
conc.write_graph('graph-exec-detailed.dot', graph2use='exec', simple_form=False);
conc.write_graph('graph.dot', graph... | true | true |
f70b87c4ef72db99b9638adb5bff6118843e5de5 | 40,741 | py | Python | tests/test_djangocache.py | mgorny/python-diskcache | b0451e084ea403c29980f683b8f0d8c9ac2a2dea | [
"Apache-2.0"
] | null | null | null | tests/test_djangocache.py | mgorny/python-diskcache | b0451e084ea403c29980f683b8f0d8c9ac2a2dea | [
"Apache-2.0"
] | null | null | null | tests/test_djangocache.py | mgorny/python-diskcache | b0451e084ea403c29980f683b8f0d8c9ac2a2dea | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Most of this file was copied from:
# https://raw.githubusercontent.com/django/django/1.11.12/tests/cache/tests.py
# Unit tests for cache framework
# Uses whatever cache backend is set in the test settings file.
from __future__ import unicode_literals
import copy
import io
import os
import r... | 39.174038 | 114 | 0.628188 |
from __future__ import unicode_literals
import copy
import io
import os
import re
import shutil
import tempfile
import threading
import time
import unittest
import warnings
from django.conf import settings
from django.core import management, signals
from django.core.cache import (
DEFAULT_CACHE_ALIAS, Cach... | true | true |
f70b881f1b2b4ed66c203c087f52e37d9971e9b5 | 2,571 | py | Python | test_requests.py | OT022/Threading-OCR | 50379078c5885a0046cb3b0598306da0bd6f5a0a | [
"MIT"
] | null | null | null | test_requests.py | OT022/Threading-OCR | 50379078c5885a0046cb3b0598306da0bd6f5a0a | [
"MIT"
] | null | null | null | test_requests.py | OT022/Threading-OCR | 50379078c5885a0046cb3b0598306da0bd6f5a0a | [
"MIT"
] | null | null | null | import pytest
import os
import logging
import requests_helper
@pytest.fixture
def valid_post_image():
return open('_test/src/img001.jpg', 'rb')
@pytest.fixture
def valid_post_url():
return os.environ['COMPUTER_VISION_ENDPOINT'] + "/vision/v3.0/read/analyze"
@pytest.fixture
def valid_headers():
return... | 38.954545 | 222 | 0.736289 | import pytest
import os
import logging
import requests_helper
@pytest.fixture
def valid_post_image():
return open('_test/src/img001.jpg', 'rb')
@pytest.fixture
def valid_post_url():
return os.environ['COMPUTER_VISION_ENDPOINT'] + "/vision/v3.0/read/analyze"
@pytest.fixture
def valid_headers():
return... | true | true |
f70b8964b3beea5bf3a3e0e4b46e46f93cf419a2 | 51,566 | bzl | Python | third_party/gpus/cuda_configure.bzl | parallelo/tensorflow-upstream | 41c9f4d4435707ed64b5a4fa5a964f73a5b99986 | [
"Apache-2.0"
] | null | null | null | third_party/gpus/cuda_configure.bzl | parallelo/tensorflow-upstream | 41c9f4d4435707ed64b5a4fa5a964f73a5b99986 | [
"Apache-2.0"
] | null | null | null | third_party/gpus/cuda_configure.bzl | parallelo/tensorflow-upstream | 41c9f4d4435707ed64b5a4fa5a964f73a5b99986 | [
"Apache-2.0"
] | null | null | null | """Repository rule for CUDA autoconfiguration.
`cuda_configure` depends on the following environment variables:
* `TF_NEED_CUDA`: Whether to enable building with CUDA.
* `GCC_HOST_COMPILER_PATH`: The GCC host compiler path
* `TF_CUDA_CLANG`: Whether to use clang as a cuda compiler.
* `CLANG_CUDA_COMPILER_PATH... | 36.468175 | 125 | 0.638134 |
load("//third_party/clang_toolchain:download_clang.bzl", "download_clang")
load(
"@bazel_tools//tools/cpp:lib_cc_configure.bzl",
"escape_string",
"get_env_var",
)
load(
"@bazel_tools//tools/cpp:windows_cc_configure.bzl",
"find_msvc_tool",
"find_vc_path",
"setup_vc_env_vars",
)
load(
"//... | true | true |
f70b8a2bb9b965788aeed7882a1db5c0a0a6b4de | 40,693 | py | Python | forms/forms_func.py | Wellheor1/l2 | d980210921c545c68fe9d5522bb693d567995024 | [
"MIT"
] | null | null | null | forms/forms_func.py | Wellheor1/l2 | d980210921c545c68fe9d5522bb693d567995024 | [
"MIT"
] | null | null | null | forms/forms_func.py | Wellheor1/l2 | d980210921c545c68fe9d5522bb693d567995024 | [
"MIT"
] | null | null | null | import datetime
import zlib
from collections import OrderedDict
from copy import deepcopy
from decimal import Decimal
from django.db.models import Q
from clients.models import Document, DispensaryReg, Card
from directions.models import Napravleniya, Issledovaniya, ParaclinicResult, IstochnikiFinansirovaniya, PersonCo... | 42.081696 | 183 | 0.591527 | import datetime
import zlib
from collections import OrderedDict
from copy import deepcopy
from decimal import Decimal
from django.db.models import Q
from clients.models import Document, DispensaryReg, Card
from directions.models import Napravleniya, Issledovaniya, ParaclinicResult, IstochnikiFinansirovaniya, PersonCo... | true | true |
f70b8b74c1eeee8137644ecf3c06c9597b396f6b | 10,428 | py | Python | vb_simulation_pkgs/pkg_vb_sim/scripts/task3_spawn_models.py | ROBODITYA/Eyantra-2021-Vargi-Bots | f1c6a82c46e6e84486a4832b3fbcd02625849447 | [
"MIT"
] | 1 | 2021-07-13T07:05:29.000Z | 2021-07-13T07:05:29.000Z | vb_simulation_pkgs/pkg_vb_sim/scripts/task3_spawn_models.py | TejasPhutane/Eyantra-2021-Vargi-Bots | ab84a1304101850be8c0f69cfe6de70d53c33189 | [
"MIT"
] | 1 | 2021-06-05T07:58:03.000Z | 2021-06-05T07:58:03.000Z | vb_simulation_pkgs/pkg_vb_sim/scripts/task3_spawn_models.py | ROBODITYA/Eyantra-2021-Vargi-Bots | f1c6a82c46e6e84486a4832b3fbcd02625849447 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import rospy
from gazebo_msgs.srv import SpawnModel, SpawnModelRequest, SpawnModelResponse
# from gazebo_msgs.srv import ApplyBodyWrench, GetModelProperties, GetWorldProperties, SetModelState
from copy import deepcopy
from tf.transformations import quaternion_from_euler
sdf_cube = """<?xml versi... | 26.07 | 100 | 0.476122 |
import rospy
from gazebo_msgs.srv import SpawnModel, SpawnModelRequest, SpawnModelResponse
from copy import deepcopy
from tf.transformations import quaternion_from_euler
sdf_cube = """<?xml version="1.0" ?>
<sdf version="1.4">
<model name="MODELNAME">
<static>0</static>
<link name="link">
<inertial>... | true | true |
f70b8bc855024eae8c8724cea7763f1ea53656f2 | 5,413 | py | Python | test/test_expected_behaviors_configurations.py | michael7198/deeplenstronomy_tests | e310684669f403969e169843185255a468c299d9 | [
"MIT"
] | 17 | 2020-11-13T17:39:28.000Z | 2022-03-18T11:22:01.000Z | test/test_expected_behaviors_configurations.py | michael7198/deeplenstronomy_tests | e310684669f403969e169843185255a468c299d9 | [
"MIT"
] | 23 | 2020-12-09T21:50:27.000Z | 2022-01-11T17:26:17.000Z | test/test_expected_behaviors_configurations.py | michael7198/deeplenstronomy_tests | e310684669f403969e169843185255a468c299d9 | [
"MIT"
] | 9 | 2020-11-11T19:15:19.000Z | 2022-03-01T17:50:55.000Z | """
Parsed Config File Produces Expected Behaviors - configurations
"""
import inspect
import os
import deeplenstronomy.deeplenstronomy as dl
doc = """
\tRunning tests from test_expected_behaviors_configurations.py
\tThe tests included in this module demonstrate that the properties of each
\tconfiguration wer... | 34.922581 | 84 | 0.616664 |
import inspect
import os
import deeplenstronomy.deeplenstronomy as dl
doc = """
\tRunning tests from test_expected_behaviors_configurations.py
\tThe tests included in this module demonstrate that the properties of each
\tconfiguration were simulated as expected. These properties include the
\texpected size o... | true | true |
f70b8bc93123bb50d895e673ddd956f0d95d791d | 1,299 | py | Python | setup.py | lietu/twitch-bot | e1f3462a8851031bc2cbd5dffb6440edc2e45116 | [
"MIT"
] | 6 | 2015-12-21T14:43:26.000Z | 2019-09-08T12:56:36.000Z | setup.py | lietu/twitch-quote-bot | e1f3462a8851031bc2cbd5dffb6440edc2e45116 | [
"MIT"
] | 5 | 2015-04-06T08:33:20.000Z | 2016-02-09T03:28:39.000Z | setup.py | lietu/twitch-bot | e1f3462a8851031bc2cbd5dffb6440edc2e45116 | [
"MIT"
] | 5 | 2015-12-03T17:54:51.000Z | 2020-06-29T12:43:07.000Z | import sys
from cx_Freeze import setup, Executable
base = None
# Uncomment to disable the console on Windows, once the thing is stable
#if sys.platform == "win32":
# base = "Win32GUI"
config = {
'description': 'Twitch Bot',
'author': 'Janne Enberg',
'url': 'https://github.com/lietu/twitch-bot',
'do... | 27.0625 | 74 | 0.602771 | import sys
from cx_Freeze import setup, Executable
base = None
config = {
'description': 'Twitch Bot',
'author': 'Janne Enberg',
'url': 'https://github.com/lietu/twitch-bot',
'download_url': 'https://github.com/lietu/twitch-bot',
'author_email': 'janne.enberg@lietu.net',
'version': '0.1',
... | true | true |
f70b8cb2129444e1f6211239a197af3e5f9f6cb3 | 14,418 | py | Python | conveyor_2.py | bjnortier/ai-experiments-1 | aff4496d84b059af6096f8f6b51d0ebcf6ed5c37 | [
"CC0-1.0"
] | null | null | null | conveyor_2.py | bjnortier/ai-experiments-1 | aff4496d84b059af6096f8f6b51d0ebcf6ed5c37 | [
"CC0-1.0"
] | null | null | null | conveyor_2.py | bjnortier/ai-experiments-1 | aff4496d84b059af6096f8f6b51d0ebcf6ed5c37 | [
"CC0-1.0"
] | null | null | null | import os
import glob
from pathlib import Path
import numpy as np
import random
import carb
from PIL import Image
from tensorflow import keras
from pxr import Usd, UsdGeom, Gf, UsdPhysics
import omni.kit
from omni.isaac.examples.base_sample import BaseSample
from omni.isaac.core.objects import DynamicCuboid
from omni.i... | 34.410501 | 103 | 0.619087 | import os
import glob
from pathlib import Path
import numpy as np
import random
import carb
from PIL import Image
from tensorflow import keras
from pxr import Usd, UsdGeom, Gf, UsdPhysics
import omni.kit
from omni.isaac.examples.base_sample import BaseSample
from omni.isaac.core.objects import DynamicCuboid
from omni.i... | true | true |
f70b8d0e2b5f41a42fe57c9b6a33830ab0c71fa9 | 305 | py | Python | config.py | tensorush/Neural-Painter-Bot | 420fd2d01a1a91b45553e3da07d4a5c18a60ec11 | [
"MIT"
] | 1 | 2021-02-18T02:52:10.000Z | 2021-02-18T02:52:10.000Z | config.py | tensorush/Neural-Painter-Bot | 420fd2d01a1a91b45553e3da07d4a5c18a60ec11 | [
"MIT"
] | null | null | null | config.py | tensorush/Neural-Painter-Bot | 420fd2d01a1a91b45553e3da07d4a5c18a60ec11 | [
"MIT"
] | null | null | null | import os
# Bot token
BOT_TOKEN = os.getenv('BOT_TOKEN')
# Web application setup
WEBAPP_HOST = '0.0.0.0'
WEBAPP_PORT = int(os.getenv('PORT'))
# Webhook setup
WEBHOOK_HOST = 'https://neural-painter-bot.herokuapp.com'
WEBHOOK_PATH = f'/webhook/{BOT_TOKEN}'
WEBHOOK_URL = f'{WEBHOOK_HOST}{WEBHOOK_PATH}'
| 20.333333 | 57 | 0.734426 | import os
BOT_TOKEN = os.getenv('BOT_TOKEN')
WEBAPP_HOST = '0.0.0.0'
WEBAPP_PORT = int(os.getenv('PORT'))
WEBHOOK_HOST = 'https://neural-painter-bot.herokuapp.com'
WEBHOOK_PATH = f'/webhook/{BOT_TOKEN}'
WEBHOOK_URL = f'{WEBHOOK_HOST}{WEBHOOK_PATH}'
| true | true |
f70b8dd29628c3270d786ed902fdfe1bff153136 | 998 | py | Python | two_factor/management/commands/two_factor_disable.py | ercpe/django-two-factor-auth | 76866dd310903b3a34526becaa0a5012dea7debe | [
"MIT"
] | null | null | null | two_factor/management/commands/two_factor_disable.py | ercpe/django-two-factor-auth | 76866dd310903b3a34526becaa0a5012dea7debe | [
"MIT"
] | 1 | 2015-07-13T16:52:33.000Z | 2015-07-16T20:24:59.000Z | two_factor/management/commands/two_factor_disable.py | ercpe/django-two-factor-auth | 76866dd310903b3a34526becaa0a5012dea7debe | [
"MIT"
] | 1 | 2019-12-30T15:38:13.000Z | 2019-12-30T15:38:13.000Z | from django.core.management.base import BaseCommand, CommandError
try:
from django.contrib.auth import get_user_model
except ImportError:
from django.contrib.auth.models import User
else:
User = get_user_model()
from django_otp import devices_for_user
class Command(BaseCommand):
"""
Command for d... | 28.514286 | 73 | 0.670341 | from django.core.management.base import BaseCommand, CommandError
try:
from django.contrib.auth import get_user_model
except ImportError:
from django.contrib.auth.models import User
else:
User = get_user_model()
from django_otp import devices_for_user
class Command(BaseCommand):
args = '<username use... | true | true |
f70b8fac17e6bde268e662cd3401fce8726fa90e | 599 | py | Python | tests/test_comments.py | EugeneZnm/pitches | 64edf62503f9195de2f1e11a7a7cf29e88fa00de | [
"Unlicense"
] | null | null | null | tests/test_comments.py | EugeneZnm/pitches | 64edf62503f9195de2f1e11a7a7cf29e88fa00de | [
"Unlicense"
] | null | null | null | tests/test_comments.py | EugeneZnm/pitches | 64edf62503f9195de2f1e11a7a7cf29e88fa00de | [
"Unlicense"
] | null | null | null | import unittest
from app.models import Comments
class CommentsModelTest(unittest.TestCase):
def setUp(self):
self.new_comment = Comments(comment='a')
def test_instance(self):
self.assertEqual(self.new_comment.comment, 'a')
def test_save_comment(self):
self.new_comment.save_comme... | 24.958333 | 55 | 0.686144 | import unittest
from app.models import Comments
class CommentsModelTest(unittest.TestCase):
def setUp(self):
self.new_comment = Comments(comment='a')
def test_instance(self):
self.assertEqual(self.new_comment.comment, 'a')
def test_save_comment(self):
self.new_comment.save_comme... | true | true |
f70b918593a9967c3c6a32aab2c0bf4d8d1dbaef | 1,505 | py | Python | dls_ade/dls_list_modules_test.py | hir12111/dls_ade | 92449cc2a0fadc1af4c125d72cfc392df4763f2c | [
"Apache-2.0"
] | null | null | null | dls_ade/dls_list_modules_test.py | hir12111/dls_ade | 92449cc2a0fadc1af4c125d72cfc392df4763f2c | [
"Apache-2.0"
] | null | null | null | dls_ade/dls_list_modules_test.py | hir12111/dls_ade | 92449cc2a0fadc1af4c125d72cfc392df4763f2c | [
"Apache-2.0"
] | null | null | null | #!/bin/env dls-python
from sys import version_info
if version_info.major == 2:
import __builtin__ as builtins # Allows for Python 2/3 compatibility, 'builtins' is namespace for inbuilt functions
else:
import builtins
import unittest
from mock import patch, MagicMock
p = patch('dls_ade.Server')
server_mock ... | 26.403509 | 120 | 0.711628 |
from sys import version_info
if version_info.major == 2:
import __builtin__ as builtins
else:
import builtins
import unittest
from mock import patch, MagicMock
p = patch('dls_ade.Server')
server_mock = MagicMock()
m = p.start()
m.return_value = server_mock
from dls_ade import dls_list_modules
p.stop()
... | true | true |
f70b928fea37b2c0df2781362cb19ba7188b7b27 | 1,220 | py | Python | project/train.py | Lucklyric/hydra-pytorch-lightning-seed | 2fd1ef2795c8705f03334f0af66e78aaa565a52e | [
"Apache-2.0"
] | 4 | 2021-05-03T14:00:12.000Z | 2022-03-16T18:39:24.000Z | project/train.py | Lucklyric/dl-optimizer-poc | fd7ddc91e10f3d9e6fa6154221c960cc6ff6a8a7 | [
"Apache-2.0"
] | null | null | null | project/train.py | Lucklyric/dl-optimizer-poc | fd7ddc91e10f3d9e6fa6154221c960cc6ff6a8a7 | [
"Apache-2.0"
] | 1 | 2021-09-07T13:15:51.000Z | 2021-09-07T13:15:51.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# File : train.py
# Author: Alvin(Xinyao) Sun <xinyao1@ualberta.ca>
# Date : 02.05.2021
import logging
import os
import sys
import hydra
import pytorch_lightning as pl
from omegaconf import DictConfig, OmegaConf
sys.path.append(os.path.dirname(os.path.realpath(__file__... | 23.461538 | 70 | 0.622951 |
import logging
import os
import sys
import hydra
import pytorch_lightning as pl
from omegaconf import DictConfig, OmegaConf
sys.path.append(os.path.dirname(os.path.realpath(__file__)))
log = logging.getLogger(__name__)
@hydra.main(config_path='config', config_name='train_config')
def main(cfg: DictConfig):
... | true | true |
f70b92b9aa2e2b3ff6177472d1bfaf0b814109aa | 182 | py | Python | src/python/gudhi/hera/__init__.py | m0baxter/gudhi-devel | 6e14ef1f31e09f3875316440303450ff870d9881 | [
"MIT"
] | 146 | 2019-03-15T14:10:31.000Z | 2022-03-23T21:14:52.000Z | src/python/gudhi/hera/__init__.py | m0baxter/gudhi-devel | 6e14ef1f31e09f3875316440303450ff870d9881 | [
"MIT"
] | 398 | 2019-03-07T14:55:22.000Z | 2022-03-31T14:50:40.000Z | src/python/gudhi/hera/__init__.py | m0baxter/gudhi-devel | 6e14ef1f31e09f3875316440303450ff870d9881 | [
"MIT"
] | 51 | 2019-03-08T15:58:48.000Z | 2022-03-14T10:23:23.000Z | from .wasserstein import wasserstein_distance
from .bottleneck import bottleneck_distance
__author__ = "Marc Glisse"
__copyright__ = "Copyright (C) 2020 Inria"
__license__ = "MIT"
| 22.75 | 45 | 0.802198 | from .wasserstein import wasserstein_distance
from .bottleneck import bottleneck_distance
__author__ = "Marc Glisse"
__copyright__ = "Copyright (C) 2020 Inria"
__license__ = "MIT"
| true | true |
f70b9516de8ebd320f979b8a39b117ab92fb9820 | 8,050 | py | Python | docs/languages/en/conf.py | chrisoconnell/zf2-documentation | f7ea720801db65c82448128cb173944e81a10d82 | [
"BSD-3-Clause"
] | null | null | null | docs/languages/en/conf.py | chrisoconnell/zf2-documentation | f7ea720801db65c82448128cb173944e81a10d82 | [
"BSD-3-Clause"
] | null | null | null | docs/languages/en/conf.py | chrisoconnell/zf2-documentation | f7ea720801db65c82448128cb173944e81a10d82 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Zend Framework 2 documentation build configuration file, created by
# sphinx-quickstart on Fri Jul 6 18:55:07 2012.
#
# 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... | 32.459677 | 83 | 0.717143 |
import sys, os
extensions = []
templates_path = ['_templates']
source_suffix = '.rst'
master_doc = 'index'
project = u'Zend Framework 2'
copyright = u'2012, Zend Technologies Ltd.'
# |version| and |release|, also used in various other places throughout the
# built documents.
#
# T... | true | true |
f70b959b58bee55c3001698484754add230dbb4e | 18,187 | py | Python | common/webapp/views/misc_views.py | jisantuc/labeller | 11c7738d43b860fbdad660b459572843f873abce | [
"Apache-2.0"
] | 2 | 2021-12-02T08:42:31.000Z | 2022-03-11T19:58:40.000Z | common/webapp/views/misc_views.py | jisantuc/labeller | 11c7738d43b860fbdad660b459572843f873abce | [
"Apache-2.0"
] | null | null | null | common/webapp/views/misc_views.py | jisantuc/labeller | 11c7738d43b860fbdad660b459572843f873abce | [
"Apache-2.0"
] | 2 | 2021-12-03T17:49:49.000Z | 2022-03-21T17:05:06.000Z | # Copyright 2014 SolidBuilds.com. All rights reserved #
# Authors: Ling Thio <ling.thio@gmail.com>
from datetime import datetime
from flask import current_app, flash
from flask import Blueprint, redirect, render_template
from flask import request, url_for
from flask_user import current_user, login_required, roles_acc... | 41.617849 | 137 | 0.675647 |
from datetime import datetime
from flask import current_app, flash
from flask import Blueprint, redirect, render_template
from flask import request, url_for
from flask_user import current_user, login_required, roles_accepted
from flask_user.views import _get_safe_next_param, render, _send_registered_email, _endpoint... | true | true |
f70b95eb5cf834f80422d263ac7df828a5ca831d | 73 | py | Python | __init__.py | dshatz/unionfind | 4c1f76b344e126ec9f08c5c992a34434ce1150ee | [
"MIT"
] | 51 | 2017-06-07T16:44:52.000Z | 2022-02-12T21:49:18.000Z | __init__.py | dshatz/unionfind | 4c1f76b344e126ec9f08c5c992a34434ce1150ee | [
"MIT"
] | 3 | 2018-06-14T04:04:05.000Z | 2021-10-07T18:55:21.000Z | __init__.py | dshatz/unionfind | 4c1f76b344e126ec9f08c5c992a34434ce1150ee | [
"MIT"
] | 26 | 2018-03-23T18:42:05.000Z | 2021-09-07T11:29:11.000Z | """
UnionFind disjoint sets data structure.
"""
from . import unionfind
| 12.166667 | 39 | 0.726027 |
from . import unionfind
| true | true |
f70b965627fb06acd42bbdb804a082cfe0104a24 | 280 | py | Python | core/task/__init__.py | HyokaChen/DailyNewsSpider | ea70c69fb4cf10130a45e00a148246525571c013 | [
"MIT"
] | 10 | 2020-07-30T14:46:43.000Z | 2021-11-16T12:04:01.000Z | core/task/__init__.py | HyokaChen/DailyNewsSpider | ea70c69fb4cf10130a45e00a148246525571c013 | [
"MIT"
] | null | null | null | core/task/__init__.py | HyokaChen/DailyNewsSpider | ea70c69fb4cf10130a45e00a148246525571c013 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
@File : __init__.py.py
@Time : 2020/3/27 22:36
@Author : Empty Chan
@Contact : chen19941018@gmail.com
@Description:
@License : (C) Copyright 2016-2020, iFuture Corporation Limited.
"""
from . import *
| 21.538462 | 68 | 0.603571 |
from . import *
| true | true |
f70b99540978fb2f332b286d95f514e1c656d922 | 8,634 | py | Python | tests/test_myplex.py | jjlawren/python-plexapi | 9f9e2350006da3c613a71f5bdee07d2c1181d89f | [
"BSD-3-Clause"
] | 1 | 2022-01-15T19:02:33.000Z | 2022-01-15T19:02:33.000Z | tests/test_myplex.py | jjlawren/python-plexapi | 9f9e2350006da3c613a71f5bdee07d2c1181d89f | [
"BSD-3-Clause"
] | 43 | 2021-07-27T01:31:21.000Z | 2022-03-30T11:20:55.000Z | tests/test_myplex.py | Montellese/python-plexapi | bd7de4281ec599e096c8991bbd1e583a0d196d8d | [
"BSD-3-Clause"
] | 2 | 2020-09-08T21:09:26.000Z | 2020-09-08T21:44:02.000Z | # -*- coding: utf-8 -*-
import pytest
from plexapi.exceptions import BadRequest, NotFound
from . import conftest as utils
def test_myplex_accounts(account, plex):
assert account, "Must specify username, password & resource to run this test."
print("MyPlexAccount:")
print("username: %s" % account.username... | 35.097561 | 88 | 0.677322 |
import pytest
from plexapi.exceptions import BadRequest, NotFound
from . import conftest as utils
def test_myplex_accounts(account, plex):
assert account, "Must specify username, password & resource to run this test."
print("MyPlexAccount:")
print("username: %s" % account.username)
print("email: %s"... | true | true |
f70b9a2e490b150981301c9d54d99efeb3e5f99f | 1,970 | py | Python | app/service/file_svc.py | FumblingBear/caldera | adef51b27ac04ab21bab33a3c988965ce69fb0f3 | [
"Apache-2.0"
] | null | null | null | app/service/file_svc.py | FumblingBear/caldera | adef51b27ac04ab21bab33a3c988965ce69fb0f3 | [
"Apache-2.0"
] | null | null | null | app/service/file_svc.py | FumblingBear/caldera | adef51b27ac04ab21bab33a3c988965ce69fb0f3 | [
"Apache-2.0"
] | null | null | null | import os
from aiohttp import web
from app.utility.logger import Logger
class FileSvc:
def __init__(self, payload_dirs, exfil_dir):
self.payload_dirs = payload_dirs
self.log = Logger('file_svc')
self.exfil_dir = exfil_dir
async def download(self, request):
name = request.he... | 33.965517 | 97 | 0.553807 | import os
from aiohttp import web
from app.utility.logger import Logger
class FileSvc:
def __init__(self, payload_dirs, exfil_dir):
self.payload_dirs = payload_dirs
self.log = Logger('file_svc')
self.exfil_dir = exfil_dir
async def download(self, request):
name = request.he... | true | true |
f70b9c2b4ad81820ced65c41979ef8e1756fe72a | 995 | py | Python | libs/yowsup/yowsup/yowsup/layers/protocol_acks/protocolentities/ack.py | akshitpradhan/TomHack | 837226e7b38de1140c19bc2d478eeb9e379ed1fd | [
"MIT"
] | 22 | 2017-07-14T20:01:17.000Z | 2022-03-08T14:22:39.000Z | libs/yowsup/yowsup/yowsup/layers/protocol_acks/protocolentities/ack.py | akshitpradhan/TomHack | 837226e7b38de1140c19bc2d478eeb9e379ed1fd | [
"MIT"
] | 6 | 2017-07-14T21:03:50.000Z | 2021-06-10T19:08:32.000Z | libs/yowsup/yowsup/yowsup/layers/protocol_acks/protocolentities/ack.py | akshitpradhan/TomHack | 837226e7b38de1140c19bc2d478eeb9e379ed1fd | [
"MIT"
] | 13 | 2017-07-14T20:13:14.000Z | 2020-11-12T08:06:05.000Z | from yowsup.structs import ProtocolEntity, ProtocolTreeNode
class AckProtocolEntity(ProtocolEntity):
'''
<ack class="{{receipt | message | ?}}" id="{{message_id}}">
</ack>
'''
def __init__(self, _id, _class):
super(AckProtocolEntity, self).__init__("ack")
self._id = _id
sel... | 24.875 | 71 | 0.554774 | from yowsup.structs import ProtocolEntity, ProtocolTreeNode
class AckProtocolEntity(ProtocolEntity):
def __init__(self, _id, _class):
super(AckProtocolEntity, self).__init__("ack")
self._id = _id
self._class = _class
def getId(self):
return self._id
def getClass(self):
... | true | true |
f70b9ca9a7409b6984913947757c73688e40b12c | 775 | py | Python | HW01/sha256bruteforce.py | ideaPeng/UW-Madison-CS642 | ae4ce979f9bd55a1807a0809ec84ccb679e71d5c | [
"MIT"
] | null | null | null | HW01/sha256bruteforce.py | ideaPeng/UW-Madison-CS642 | ae4ce979f9bd55a1807a0809ec84ccb679e71d5c | [
"MIT"
] | null | null | null | HW01/sha256bruteforce.py | ideaPeng/UW-Madison-CS642 | ae4ce979f9bd55a1807a0809ec84ccb679e71d5c | [
"MIT"
] | 1 | 2021-02-23T03:29:11.000Z | 2021-02-23T03:29:11.000Z | #!/usr/bin/env python3
import hashlib
def main():
print(hashlib.sha256("hugh,13145820,20193833".encode("ascii")).hexdigest())
# 13145820
guess_flag = True
digits = 1
while guess_flag:
bound = 10**digits
guess = 0
while guess < bound:
guess_str = ("hugh,{:0" + st... | 28.703704 | 92 | 0.547097 |
import hashlib
def main():
print(hashlib.sha256("hugh,13145820,20193833".encode("ascii")).hexdigest())
guess_flag = True
digits = 1
while guess_flag:
bound = 10**digits
guess = 0
while guess < bound:
guess_str = ("hugh,{:0" + str(digits) +
... | true | true |
f70b9dfdf88a8fb2039774b40ccfcf8d12c02620 | 6,479 | py | Python | turbinia/workers/analysis/jenkins.py | giovannt0/turbinia | 6733eea42ba3a2442c49aaf933656ace45bd20e1 | [
"Apache-2.0"
] | 1 | 2021-01-21T19:53:33.000Z | 2021-01-21T19:53:33.000Z | turbinia/workers/analysis/jenkins.py | joachimmetz/turbinia | f69b34b7da72d9f9eb0d0c4a11e2b8d5443faab8 | [
"Apache-2.0"
] | null | null | null | turbinia/workers/analysis/jenkins.py | joachimmetz/turbinia | f69b34b7da72d9f9eb0d0c4a11e2b8d5443faab8 | [
"Apache-2.0"
] | 1 | 2019-10-31T10:16:08.000Z | 2019-10-31T10:16:08.000Z | # -*- coding: utf-8 -*-
# Copyright 2018 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law ... | 33.921466 | 80 | 0.703812 |
from __future__ import unicode_literals
import os
import re
from turbinia import TurbiniaException
from turbinia.evidence import ReportText
from turbinia.lib import text_formatter as fmt
from turbinia.workers import TurbiniaTask
from turbinia.workers import Priority
from turbinia.lib.utils import extra... | true | true |
f70b9eda58e54f0a70a16842e2cf09a28ec76236 | 13,889 | py | Python | tangleanalyzer/filter/time.py | bingyanglin/tangle-analyzer.py | 70f43604aa13fdeaeeb15535508532da935e45d3 | [
"MIT"
] | 1 | 2020-07-27T17:18:03.000Z | 2020-07-27T17:18:03.000Z | tangleanalyzer/filter/time.py | bingyanglin/tangle-analyzer.py | 70f43604aa13fdeaeeb15535508532da935e45d3 | [
"MIT"
] | null | null | null | tangleanalyzer/filter/time.py | bingyanglin/tangle-analyzer.py | 70f43604aa13fdeaeeb15535508532da935e45d3 | [
"MIT"
] | null | null | null | from typing import Callable
from datetime import datetime, timezone
from time import mktime
from ..common.const import (
MILESTONES_USING_TIMESTAMP_ONLY,
TIMESTAMP_B,
TIMESTAMP_E,
ATCH_TIMESTAMP_B,
ATCH_TIMESTAMP_E
)
from ..common import tryte_to_int
import logging
__all__ = [
'TimeFilter',
]
... | 38.796089 | 101 | 0.606379 | from typing import Callable
from datetime import datetime, timezone
from time import mktime
from ..common.const import (
MILESTONES_USING_TIMESTAMP_ONLY,
TIMESTAMP_B,
TIMESTAMP_E,
ATCH_TIMESTAMP_B,
ATCH_TIMESTAMP_E
)
from ..common import tryte_to_int
import logging
__all__ = [
'TimeFilter',
]
... | true | true |
f70b9f243dd1b2f97a048c91c57187db026d813e | 4,939 | py | Python | huaweicloud-sdk-iam/huaweicloudsdkiam/v3/model/keystone_associate_group_with_project_permission_request.py | wuchen-huawei/huaweicloud-sdk-python-v3 | 3683d703f4320edb2b8516f36f16d485cff08fc2 | [
"Apache-2.0"
] | 1 | 2021-11-03T07:54:50.000Z | 2021-11-03T07:54:50.000Z | huaweicloud-sdk-iam/huaweicloudsdkiam/v3/model/keystone_associate_group_with_project_permission_request.py | wuchen-huawei/huaweicloud-sdk-python-v3 | 3683d703f4320edb2b8516f36f16d485cff08fc2 | [
"Apache-2.0"
] | null | null | null | huaweicloud-sdk-iam/huaweicloudsdkiam/v3/model/keystone_associate_group_with_project_permission_request.py | wuchen-huawei/huaweicloud-sdk-python-v3 | 3683d703f4320edb2b8516f36f16d485cff08fc2 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
import pprint
import re
import six
class KeystoneAssociateGroupWithProjectPermissionRequest:
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
... | 30.487654 | 101 | 0.617331 |
import pprint
import re
import six
class KeystoneAssociateGroupWithProjectPermissionRequest:
sensitive_list = []
openapi_types = {
'project_id': 'str',
'group_id': 'str',
'role_id': 'str'
}
attribute_map = {
'project_id': 'project_id',
'group_id': 'gr... | true | true |
f70ba056fcad84e17f9e4cbcc182c6fcaf5951d5 | 5,896 | py | Python | tensorflow/python/ops/parallel_for/gradients.py | vixadd/tensorflow | 8c624204eb686a91779149dc500e6c8c60096074 | [
"Apache-2.0"
] | 3 | 2019-11-19T14:07:27.000Z | 2020-10-04T12:57:40.000Z | tensorflow/python/ops/parallel_for/gradients.py | vixadd/tensorflow | 8c624204eb686a91779149dc500e6c8c60096074 | [
"Apache-2.0"
] | 4 | 2020-04-09T16:22:20.000Z | 2021-12-15T13:57:36.000Z | tensorflow/python/ops/parallel_for/gradients.py | vixadd/tensorflow | 8c624204eb686a91779149dc500e6c8c60096074 | [
"Apache-2.0"
] | 4 | 2022-01-13T11:23:44.000Z | 2022-03-02T11:11:42.000Z | # Copyright 2018 The TensorFlow 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 applica... | 39.837838 | 80 | 0.690807 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.framework import ops
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import check_ops
from tensorflow.python.ops import gradients_impl as gradient_ops... | true | true |
f70ba09090c619abec9379a4d93b0b6aea65b856 | 15,804 | py | Python | classification/models/model23.py | anonymous2submit/Pointsformer | 0eaa141b3d79d45cd925976bde6097b51e0d3819 | [
"MIT"
] | null | null | null | classification/models/model23.py | anonymous2submit/Pointsformer | 0eaa141b3d79d45cd925976bde6097b51e0d3819 | [
"MIT"
] | null | null | null | classification/models/model23.py | anonymous2submit/Pointsformer | 0eaa141b3d79d45cd925976bde6097b51e0d3819 | [
"MIT"
] | null | null | null | """
Exactly equals to Model21 (the best results so far), but differnt configurations.
Exactly based on Model10, but ReLU to GeLU
Based on Model8, add dropout and max, avg combine.
Based on Local model, add residual connections.
The extraction is doubled for depth.
Learning Point Cloud with Progressively Local represen... | 35.198218 | 110 | 0.590926 | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import einsum
from einops import rearrange, repeat
from pointnet2_ops import pointnet2_utils
def square_distance(src, dst):
B, N, _ = src.shape
_, M, _ = dst.shape
dist = -2 * torch.matmul(src, dst.permute(0, 2, 1))
dist += t... | true | true |
f70ba0b9684f17eb9c083521f1cbfc758a822d2e | 1,013 | py | Python | source/data_preparation/00b-generate_assembly_nochain.py | hui2000ji/masif | 70a76c5f4639f70c546d5603612c7cc9f47a35b8 | [
"Apache-2.0"
] | null | null | null | source/data_preparation/00b-generate_assembly_nochain.py | hui2000ji/masif | 70a76c5f4639f70c546d5603612c7cc9f47a35b8 | [
"Apache-2.0"
] | null | null | null | source/data_preparation/00b-generate_assembly_nochain.py | hui2000ji/masif | 70a76c5f4639f70c546d5603612c7cc9f47a35b8 | [
"Apache-2.0"
] | null | null | null | import os
import sys
from SBI.structure import PDB
from default_config.masif_opts import masif_opts
print(masif_opts["ligand"]["assembly_dir"])
if not os.path.exists(masif_opts["ligand"]["assembly_dir"]):
os.mkdir(masif_opts["ligand"]["assembly_dir"])
def assemble(pdb_id):
# Reads and builds the biological as... | 30.69697 | 104 | 0.686081 | import os
import sys
from SBI.structure import PDB
from default_config.masif_opts import masif_opts
print(masif_opts["ligand"]["assembly_dir"])
if not os.path.exists(masif_opts["ligand"]["assembly_dir"]):
os.mkdir(masif_opts["ligand"]["assembly_dir"])
def assemble(pdb_id):
print(os.path.join(masif_opts["... | true | true |
f70ba0cd1ceec91a3daa39c0d4e996db44d6f725 | 13,271 | py | Python | log_mito_act/model_57.py | LoLab-VU/Bayesian_Inference_of_Network_Dynamics | 54a5ef7e868be34289836bbbb024a2963c0c9c86 | [
"MIT"
] | null | null | null | log_mito_act/model_57.py | LoLab-VU/Bayesian_Inference_of_Network_Dynamics | 54a5ef7e868be34289836bbbb024a2963c0c9c86 | [
"MIT"
] | null | null | null | log_mito_act/model_57.py | LoLab-VU/Bayesian_Inference_of_Network_Dynamics | 54a5ef7e868be34289836bbbb024a2963c0c9c86 | [
"MIT"
] | null | null | null | # exported from PySB model 'model'
from pysb import Model, Monomer, Parameter, Expression, Compartment, Rule, Observable, Initial, MatchOnce, Annotation, ANY, WILD
Model()
Monomer('Ligand', ['Receptor'])
Monomer('ParpU', ['C3A'])
Monomer('C8A', ['BidU'])
Monomer('BaxM', ['BidM', 'BaxA'])
Monomer('Apop', ['C3pro', 'X... | 79.467066 | 614 | 0.809736 |
from pysb import Model, Monomer, Parameter, Expression, Compartment, Rule, Observable, Initial, MatchOnce, Annotation, ANY, WILD
Model()
Monomer('Ligand', ['Receptor'])
Monomer('ParpU', ['C3A'])
Monomer('C8A', ['BidU'])
Monomer('BaxM', ['BidM', 'BaxA'])
Monomer('Apop', ['C3pro', 'Xiap'])
Monomer('Fadd', ['Receptor'... | true | true |
f70ba1c7f2cb64fa136136f269dd626b70b2a811 | 13,693 | py | Python | tensorflow/python/framework/sparse_tensor_test.py | EricRemmerswaal/tensorflow | 141ff27877579c81a213fa113bd1b474c1749aca | [
"Apache-2.0"
] | 190,993 | 2015-11-09T13:17:30.000Z | 2022-03-31T23:05:27.000Z | tensorflow/python/framework/sparse_tensor_test.py | EricRemmerswaal/tensorflow | 141ff27877579c81a213fa113bd1b474c1749aca | [
"Apache-2.0"
] | 48,461 | 2015-11-09T14:21:11.000Z | 2022-03-31T23:17:33.000Z | tensorflow/python/framework/sparse_tensor_test.py | EricRemmerswaal/tensorflow | 141ff27877579c81a213fa113bd1b474c1749aca | [
"Apache-2.0"
] | 104,981 | 2015-11-09T13:40:17.000Z | 2022-03-31T19:51:54.000Z | # Copyright 2015 The TensorFlow 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 applica... | 38.463483 | 80 | 0.693274 |
from absl.testing import parameterized
import numpy as np
from tensorflow.python.eager import context
from tensorflow.python.eager import def_function
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import errors
from tensorflow.python.framework import ops
from tensorflow... | true | true |
f70ba1fbd0b88f8e278bb8592c895d1b36e75c20 | 11,615 | py | Python | devicely/empatica.py | DigitalBiomarkerDiscoveryPipeline/devicely | 9773fead4d3969a32ca2760b8db4ae728c4d5d50 | [
"MIT"
] | 13 | 2020-07-13T22:26:25.000Z | 2022-03-18T17:40:56.000Z | devicely/empatica.py | DigitalBiomarkerDiscoveryPipeline/devicely | 9773fead4d3969a32ca2760b8db4ae728c4d5d50 | [
"MIT"
] | 26 | 2020-11-29T11:11:09.000Z | 2022-01-12T11:34:19.000Z | devicely/empatica.py | DigitalBiomarkerDiscoveryPipeline/devicely | 9773fead4d3969a32ca2760b8db4ae728c4d5d50 | [
"MIT"
] | 5 | 2021-07-26T11:01:38.000Z | 2022-02-22T18:23:57.000Z | """
Empatica E4 is a wearable device that offers real-time physiological data
acquisition such as blood volume pulse, electrodermal activity (EDA), heart
rate, interbeat intervals, 3-axis acceleration and skin temperature.
"""
import os
import random
import numpy as np
import pandas as pd
class EmpaticaReader:
... | 40.611888 | 101 | 0.584245 |
import os
import random
import numpy as np
import pandas as pd
class EmpaticaReader:
def __init__(self, path):
self.start_times = {}
self.sample_freqs = {}
files = [f for f in os.listdir(path) if os.path.isfile(os.path.join(path, f))]
if files is None:
print('Empt... | true | true |
f70ba28c0ff01d16d24b0d53e79a3c5456d834b5 | 7,925 | py | Python | thor/filter_orbits.py | moeyensj/thor | ec1150e23ec69944e45f6beddf57cfb46e9e44dc | [
"BSD-3-Clause"
] | 11 | 2019-08-22T18:37:09.000Z | 2022-02-28T22:49:25.000Z | thor/filter_orbits.py | moeyensj/thor | ec1150e23ec69944e45f6beddf57cfb46e9e44dc | [
"BSD-3-Clause"
] | 57 | 2019-08-20T19:57:14.000Z | 2021-09-16T20:54:59.000Z | thor/filter_orbits.py | moeyensj/thor | ec1150e23ec69944e45f6beddf57cfb46e9e44dc | [
"BSD-3-Clause"
] | 7 | 2021-02-09T21:28:43.000Z | 2022-02-01T08:55:29.000Z | import pandas as pd
from typing import Tuple
from .data_processing import UNKNOWN_ID_REGEX
from .utils import calcDeltas
__all__ = [
"filterKnownOrbits",
"filterOrbits"
]
def filterKnownOrbits(
orbits: pd.DataFrame,
orbit_observations: pd.DataFrame,
associations: pd.DataFrame,
... | 45.285714 | 123 | 0.722145 | import pandas as pd
from typing import Tuple
from .data_processing import UNKNOWN_ID_REGEX
from .utils import calcDeltas
__all__ = [
"filterKnownOrbits",
"filterOrbits"
]
def filterKnownOrbits(
orbits: pd.DataFrame,
orbit_observations: pd.DataFrame,
associations: pd.DataFrame,
... | true | true |
f70ba298444fd5ee9e0963aa7594d931ec799e5c | 2,064 | py | Python | Archi/tests/test_esbn_model.py | Near32/Archi | 0005713fa4e37c7cd9b34cd257c481d08928db8a | [
"MIT"
] | null | null | null | Archi/tests/test_esbn_model.py | Near32/Archi | 0005713fa4e37c7cd9b34cd257c481d08928db8a | [
"MIT"
] | null | null | null | Archi/tests/test_esbn_model.py | Near32/Archi | 0005713fa4e37c7cd9b34cd257c481d08928db8a | [
"MIT"
] | null | null | null | import Archi
import yaml
def test_model_loading():
try:
config = yaml.safe_load(
open("./esbn_model_test_config.yaml", 'r'),
)
except yaml.YANNLError as e:
print(e)
from Archi import load_model
model = load_model(config)
assert 'KeyValueMemory' in model.... | 32.761905 | 103 | 0.66376 | import Archi
import yaml
def test_model_loading():
try:
config = yaml.safe_load(
open("./esbn_model_test_config.yaml", 'r'),
)
except yaml.YANNLError as e:
print(e)
from Archi import load_model
model = load_model(config)
assert 'KeyValueMemory' in model.... | true | true |
f70ba2dbbed027a097316912aef62f7e4fca727a | 5,378 | py | Python | airflow/operators/bash.py | mebelousov/airflow | d99833c9b5be9eafc0c7851343ee86b6c20aed40 | [
"Apache-2.0"
] | 2 | 2020-05-15T02:40:25.000Z | 2020-06-08T04:30:00.000Z | airflow/operators/bash.py | mebelousov/airflow | d99833c9b5be9eafc0c7851343ee86b6c20aed40 | [
"Apache-2.0"
] | 33 | 2020-06-16T15:12:33.000Z | 2021-07-23T07:04:35.000Z | airflow/operators/bash.py | mebelousov/airflow | d99833c9b5be9eafc0c7851343ee86b6c20aed40 | [
"Apache-2.0"
] | 2 | 2021-01-11T13:53:03.000Z | 2021-10-02T05:06:34.000Z | #
# 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... | 38.141844 | 105 | 0.649498 |
import os
import signal
from subprocess import PIPE, STDOUT, Popen
from tempfile import TemporaryDirectory, gettempdir
from typing import Dict, Optional
from airflow.exceptions import AirflowException
from airflow.models import BaseOperator
from airflow.utils.decorators import apply_defaults
from ai... | true | true |
f70ba333ac2eec228f11aaf00c56987a66df3504 | 2,669 | py | Python | api_tests/users/views/test_user_list.py | sf2ne/Playground | 95b2d222d7ac43baca0249acbfc34e043d6a95b3 | [
"Apache-2.0"
] | null | null | null | api_tests/users/views/test_user_list.py | sf2ne/Playground | 95b2d222d7ac43baca0249acbfc34e043d6a95b3 | [
"Apache-2.0"
] | 13 | 2020-03-24T15:29:41.000Z | 2022-03-11T23:15:28.000Z | api_tests/users/views/test_user_list.py | sf2ne/Playground | 95b2d222d7ac43baca0249acbfc34e043d6a95b3 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import urlparse
from nose.tools import * # flake8: noqa
from tests.base import ApiTestCase
from tests.factories import AuthUserFactory
from api.base.settings.defaults import API_BASE
class TestUsers(ApiTestCase):
def setUp(self):
super(TestUsers, self).setUp()
self.user... | 32.54878 | 86 | 0.630948 |
import urlparse
from nose.tools import *
from tests.base import ApiTestCase
from tests.factories import AuthUserFactory
from api.base.settings.defaults import API_BASE
class TestUsers(ApiTestCase):
def setUp(self):
super(TestUsers, self).setUp()
self.user_one = AuthUserFactory()
self... | true | true |
f70ba36f5449e78d850667a6792ccd3d50af645e | 155 | py | Python | muteria/drivers/testgeneration/testcase_formats/python_unittest/__init__.py | muteria/muteria | 2cb72ff04548b011bce9296833bceb295199ae8e | [
"MIT"
] | 5 | 2020-05-06T03:13:01.000Z | 2021-12-09T22:39:26.000Z | muteria/drivers/testgeneration/testcase_formats/python_unittest/__init__.py | muteria/muteria | 2cb72ff04548b011bce9296833bceb295199ae8e | [
"MIT"
] | 6 | 2019-11-27T18:38:09.000Z | 2021-12-16T20:40:50.000Z | muteria/drivers/testgeneration/testcase_formats/python_unittest/__init__.py | muteria/muteria | 2cb72ff04548b011bce9296833bceb295199ae8e | [
"MIT"
] | 4 | 2019-06-24T08:54:36.000Z | 2022-03-31T15:38:35.000Z | from muteria.drivers.testgeneration.testcase_formats.python_unittest.unittest\
import * | 77.5 | 78 | 0.496774 | from muteria.drivers.testgeneration.testcase_formats.python_unittest.unittest\
import * | true | true |
f70ba37efe5a4d8ded4bea670347e317978fe155 | 4,833 | py | Python | pixelprint.py | optoisolator/pixel-print | 99ed669bdc47d50c6f9785b7232e97d9b6653467 | [
"MIT"
] | null | null | null | pixelprint.py | optoisolator/pixel-print | 99ed669bdc47d50c6f9785b7232e97d9b6653467 | [
"MIT"
] | null | null | null | pixelprint.py | optoisolator/pixel-print | 99ed669bdc47d50c6f9785b7232e97d9b6653467 | [
"MIT"
] | null | null | null | #!/usr/bin/python
"""
--------------------------------------------------------------------------------------------------------------
The MIT License (MIT)
Copyright (c) 2016 William Yang
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (th... | 26.124324 | 110 | 0.53652 |
import time
import RPi.GPIO as GPIO
import alphanumeric
pin_r1 = 5
pin_r2 = 6
pin_r3 = 13
pin_r4 = 19
pin_r5 = 26
pin_c1 = 21
pin_c2 = 20
pin_c3 = 16
pin_c4 = 12
PAUSE_INTERVAL = 300
COL_SCAN = 0.0001
ROW_SCAN = 0.0008
NUM_COLS = 8
class LEDMatrixControl:
def __init__(self):
self.row_ctrl = [pi... | true | true |
f70ba4152c3dda319f435fa092eb83c1d673060f | 9,175 | py | Python | tests/utils/test_calculate_accuracies.py | RubensZimbres/pytorch-metric-learning | 3ff3b9ae6065fdf470f7c19ea8c11f9850d697ea | [
"MIT"
] | 1 | 2020-12-22T01:11:46.000Z | 2020-12-22T01:11:46.000Z | tests/utils/test_calculate_accuracies.py | marijnl/pytorch-metric-learning | 41e06ef5af398c05d238e0a74ee6c42fa7bd574c | [
"MIT"
] | null | null | null | tests/utils/test_calculate_accuracies.py | marijnl/pytorch-metric-learning | 41e06ef5af398c05d238e0a74ee6c42fa7bd574c | [
"MIT"
] | null | null | null | import unittest
from pytorch_metric_learning.utils import accuracy_calculator
import numpy as np
class TestCalculateAccuracies(unittest.TestCase):
def test_accuracy_calculator(self):
query_labels = np.array([1, 1, 2, 3, 4])
knn_labels1 = np.array(
[
[0, 1, 1... | 40.597345 | 87 | 0.500817 | import unittest
from pytorch_metric_learning.utils import accuracy_calculator
import numpy as np
class TestCalculateAccuracies(unittest.TestCase):
def test_accuracy_calculator(self):
query_labels = np.array([1, 1, 2, 3, 4])
knn_labels1 = np.array(
[
[0, 1, 1... | true | true |
f70ba52887f184ad281e8caf21f7d1bf136269b9 | 51,226 | py | Python | tensorflow/python/eager/backprop.py | piquark6046/tensorflow | 57771c5d008f6d16fd147110213855d145a7e0bc | [
"Apache-2.0"
] | null | null | null | tensorflow/python/eager/backprop.py | piquark6046/tensorflow | 57771c5d008f6d16fd147110213855d145a7e0bc | [
"Apache-2.0"
] | null | null | null | tensorflow/python/eager/backprop.py | piquark6046/tensorflow | 57771c5d008f6d16fd147110213855d145a7e0bc | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 The TensorFlow 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 applica... | 36.986282 | 90 | 0.679011 |
import functools
import operator
import sys
import six
from tensorflow.python import pywrap_tfe
from tensorflow.python.eager import backprop_util
from tensorflow.python.eager import context
from tensorflow.python.eager import execute
from tensorflow.python.eager import imperative_grad
from tensorflo... | true | true |
f70ba52a2bd12e48541dace861de83c615f1e6a9 | 142,862 | py | Python | test/test_fx.py | ammar1510/pytorch | ec8d6777255821bed73b471eadddde068cd60c0b | [
"Intel"
] | 1 | 2022-02-23T08:20:59.000Z | 2022-02-23T08:20:59.000Z | test/test_fx.py | ammar1510/pytorch | ec8d6777255821bed73b471eadddde068cd60c0b | [
"Intel"
] | null | null | null | test/test_fx.py | ammar1510/pytorch | ec8d6777255821bed73b471eadddde068cd60c0b | [
"Intel"
] | null | null | null | # Owner(s): ["oncall: fx"]
import builtins
import contextlib
import copy
import functools
import inspect
import math
import numbers
import operator
import os
import pickle
import sys
import torch
import traceback
import typing
import types
import warnings
import unittest
from math import sqrt
from torch.multiprocessin... | 36.687725 | 128 | 0.585348 |
import builtins
import contextlib
import copy
import functools
import inspect
import math
import numbers
import operator
import os
import pickle
import sys
import torch
import traceback
import typing
import types
import warnings
import unittest
from math import sqrt
from torch.multiprocessing import Process
from torc... | true | true |
f70ba6b87b169178ffb85b354aeb87156f54dfd1 | 3,275 | py | Python | generator/verify/sim_sram.py | VLSIDA/OpenCache | 0e79bf353c68d57dcc49d78178b12fd0b468f19a | [
"BSD-3-Clause"
] | 5 | 2021-09-15T18:29:49.000Z | 2022-03-26T04:41:01.000Z | generator/verify/sim_sram.py | VLSIDA/OpenCache | 0e79bf353c68d57dcc49d78178b12fd0b468f19a | [
"BSD-3-Clause"
] | null | null | null | generator/verify/sim_sram.py | VLSIDA/OpenCache | 0e79bf353c68d57dcc49d78178b12fd0b468f19a | [
"BSD-3-Clause"
] | null | null | null | # See LICENSE for licensing information.
#
# Copyright (c) 2021 Regents of the University of California and The Board
# of Regents for the Oklahoma Agricultural and Mechanical College
# (acting for and on behalf of Oklahoma State University)
# All rights reserved.
#
from policy import replacement_policy as rp
from glob... | 27.521008 | 110 | 0.617405 |
from policy import replacement_policy as rp
from globals import OPTS
class sim_sram:
def __init__(self, num_words, num_ways, num_rows):
self.num_words = num_words
self.num_ways = num_ways
self.num_rows = num_rows
def reset(self):
self.valid_array = [[0] * self.num_w... | true | true |
f70ba70746408cde2e2e445a071d007f2f2b62f8 | 1,369 | wsgi | Python | files/config-files/maposmatic.wsgi | chatelao/maposmatic-vagrant | c4864a5da5c40a5755f7432c3e2e77eaa87e99e4 | [
"Unlicense"
] | 25 | 2016-03-24T23:24:41.000Z | 2022-03-04T16:52:47.000Z | files/config-files/maposmatic.wsgi | chatelao/maposmatic-vagrant | c4864a5da5c40a5755f7432c3e2e77eaa87e99e4 | [
"Unlicense"
] | 30 | 2016-03-25T06:53:18.000Z | 2022-03-12T18:51:27.000Z | files/config-files/maposmatic.wsgi | chatelao/maposmatic-vagrant | c4864a5da5c40a5755f7432c3e2e77eaa87e99e4 | [
"Unlicense"
] | 13 | 2016-03-26T23:36:04.000Z | 2021-01-20T18:41:10.000Z | # coding: utf-8
# maposmatic, the web front-end of the MapOSMatic city map generation system
# Copyright (C) 2009 David Decotigny
# Copyright (C) 2009 Frédéric Lehobey
# Copyright (C) 2009 David Mentré
# Copyright (C) 2009 Maxime Petazzoni
# Copyright (C) 2009 Thomas Petazzoni
# Copyright (C) 2009 Gaël Utard
# ... | 37 | 89 | 0.770636 |
import os, sys
sys.path.append("/home/maposmatic/maposmatic")
sys.path.append("/home/maposmatic/ocitysmap")
os.environ["DJANGO_SETTINGS_MODULE"] = 'www.settings'
os.environ["MAPOSMATIC_LOG_FILE"] = "/home/maposmatic/maposmatic/logs/maposmatic-www.log"
os.environ["PGCONNECT_TIMEOUT"] = "1"
impo... | true | true |
f70ba851bced003f1bd4ef374153c70502f27c10 | 2,395 | py | Python | bam/task_specific/task.py | deepneuralmachine/google-research | d2ce2cf0f5c004f8d78bfeddf6e88e88f4840231 | [
"Apache-2.0"
] | 23,901 | 2018-10-04T19:48:53.000Z | 2022-03-31T21:27:42.000Z | bam/task_specific/task.py | deepneuralmachine/google-research | d2ce2cf0f5c004f8d78bfeddf6e88e88f4840231 | [
"Apache-2.0"
] | 891 | 2018-11-10T06:16:13.000Z | 2022-03-31T10:42:34.000Z | bam/task_specific/task.py | deepneuralmachine/google-research | d2ce2cf0f5c004f8d78bfeddf6e88e88f4840231 | [
"Apache-2.0"
] | 6,047 | 2018-10-12T06:31:02.000Z | 2022-03-31T13:59:28.000Z | # coding=utf-8
# Copyright 2021 The Google Research Authors.
#
# 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 applicab... | 25.752688 | 74 | 0.704384 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import abc
import csv
import os
import tensorflow.compat.v1 as tf
class Example(object):
__metaclass__ = abc.ABCMeta
def __init__(self, task_name):
self.task_name = task_name
class ... | true | true |
f70ba8cd1beb723b680a53896c7f7d9b27f3178c | 3,345 | py | Python | amazon_scraper/settings.py | Samyak2/amazon-scraper | f8922e5e9c7e8a1184b59b758757b192f7aa6c29 | [
"MIT"
] | 1 | 2019-11-22T13:42:56.000Z | 2019-11-22T13:42:56.000Z | amazon_scraper/settings.py | Samyak2/amazon-scraper | f8922e5e9c7e8a1184b59b758757b192f7aa6c29 | [
"MIT"
] | null | null | null | amazon_scraper/settings.py | Samyak2/amazon-scraper | f8922e5e9c7e8a1184b59b758757b192f7aa6c29 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Scrapy settings for amazon_scraper project
#
# For simplicity, this file contains only settings considered important or
# commonly used. You can find more settings consulting the documentation:
#
# https://doc.scrapy.org/en/latest/topics/settings.html
# https://doc.scrapy.org/en/lates... | 35.210526 | 102 | 0.781166 |
BOT_NAME = 'amazon_scraper'
SPIDER_MODULES = ['amazon_scraper.spiders']
NEWSPIDER_MODULE = 'amazon_scraper.spiders'
USER_AGENT = 'amazon_scraper_3 (+your@email.here)'
ROBOTSTXT_OBEY = True
CONCURRENT_REQUESTS = 2
Y = 3
ITEM_PIPELINES = {
'amazon_scraper.pi... | true | true |
f70babde43bff0c8c248591d5b1a2c576b8fd8cb | 6,101 | py | Python | chainer/functions/pooling/average_pooling_2d.py | LuoYuanke/PrivChainer | 758d765c7903f6913cfd58c21db069d5f2a12203 | [
"MIT"
] | null | null | null | chainer/functions/pooling/average_pooling_2d.py | LuoYuanke/PrivChainer | 758d765c7903f6913cfd58c21db069d5f2a12203 | [
"MIT"
] | null | null | null | chainer/functions/pooling/average_pooling_2d.py | LuoYuanke/PrivChainer | 758d765c7903f6913cfd58c21db069d5f2a12203 | [
"MIT"
] | 1 | 2022-02-20T10:32:59.000Z | 2022-02-20T10:32:59.000Z | import numpy
import chainer
from chainer.backends import cuda
from chainer import function_node
from chainer.functions.pooling import pooling_2d
from chainer.utils import conv
class AveragePooling2D(pooling_2d.Pooling2D):
"""Average pooling over a set of 2d planes."""
# TODO(beam2d): Support cover_all mode.... | 37.20122 | 77 | 0.532208 | import numpy
import chainer
from chainer.backends import cuda
from chainer import function_node
from chainer.functions.pooling import pooling_2d
from chainer.utils import conv
class AveragePooling2D(pooling_2d.Pooling2D):
def forward_cpu(self, x):
self._in_shape = x[0].shape
self._in_dtype... | true | true |
f70bac85c3a38d428186f259f52a297e8e68a3f2 | 632 | py | Python | app/forms.py | YiChengCai1999/DepressionAnnotator | 828f505d0f22f7c2337f1b37c7dee3ea23468951 | [
"Apache-2.0"
] | null | null | null | app/forms.py | YiChengCai1999/DepressionAnnotator | 828f505d0f22f7c2337f1b37c7dee3ea23468951 | [
"Apache-2.0"
] | null | null | null | app/forms.py | YiChengCai1999/DepressionAnnotator | 828f505d0f22f7c2337f1b37c7dee3ea23468951 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2020/12/5 19:35
# @Author : cendeavor
# @File : forms.py
# @Software: PyCharm
from flask_wtf import Form, FlaskForm
from wtforms import StringField, SubmitField, PasswordField
from wtforms.validators import Required, DataRequired, EqualTo
class NameForm(... | 27.478261 | 69 | 0.693038 |
from flask_wtf import Form, FlaskForm
from wtforms import StringField, SubmitField, PasswordField
from wtforms.validators import Required, DataRequired, EqualTo
class NameForm(Form):
name = StringField('What is your name?', validators=[Required()])
submit = SubmitField('注册')
class LoginForm(FlaskForm... | true | true |
f70bacb5720192a7e432abae6a62ee6600ea78fe | 13,872 | py | Python | label_script/label script.py | rechardchen123/tensorflow_understand | aa271efc7253bd273ce8f7ac76eb50ebb68a4534 | [
"Apache-2.0"
] | null | null | null | label_script/label script.py | rechardchen123/tensorflow_understand | aa271efc7253bd273ce8f7ac76eb50ebb68a4534 | [
"Apache-2.0"
] | null | null | null | label_script/label script.py | rechardchen123/tensorflow_understand | aa271efc7253bd273ce8f7ac76eb50ebb68a4534 | [
"Apache-2.0"
] | null | null | null | from __future__ import division
from tkinter import *
import tkMessageBox
from PIL import Image, ImageTk
import os
import glob
import random
w0 = 1 #图片原始宽度
h0 = 1 #图片原始高度
# colors for the bboxes
COLORS = ['red','blue','yellow','pink','cyan','green','black']
#image size
SIZE = 256,256
#指定缩放后的图像大小
DEST_SIZE = 500,50... | 35.118987 | 118 | 0.517445 | from __future__ import division
from tkinter import *
import tkMessageBox
from PIL import Image, ImageTk
import os
import glob
import random
w0 = 1
h0 = 1
COLORS = ['red','blue','yellow','pink','cyan','green','black']
SIZE = 256,256
DEST_SIZE = 500,500
class LabelTool():
def __init__(self,master):
... | true | true |
f70bace2128f09dc26c0dcf8ff0f701cb867a582 | 8,016 | py | Python | adafruit_pyportal/network.py | jposada202020/Adafruit_CircuitPython_PyPortal | 2c09cc1ba6130de03f3f6d2643af5fcc6c82bb8e | [
"Unlicense",
"MIT-0",
"MIT"
] | null | null | null | adafruit_pyportal/network.py | jposada202020/Adafruit_CircuitPython_PyPortal | 2c09cc1ba6130de03f3f6d2643af5fcc6c82bb8e | [
"Unlicense",
"MIT-0",
"MIT"
] | null | null | null | adafruit_pyportal/network.py | jposada202020/Adafruit_CircuitPython_PyPortal | 2c09cc1ba6130de03f3f6d2643af5fcc6c82bb8e | [
"Unlicense",
"MIT-0",
"MIT"
] | null | null | null | # SPDX-FileCopyrightText: 2020 Melissa LeBlanc-Williams, written for Adafruit Industries
#
# SPDX-License-Identifier: Unlicense
"""
`adafruit_pyportal.network`
================================================================================
CircuitPython driver for Adafruit PyPortal.
* Author(s): Limor Fried, Kevin J... | 38.171429 | 253 | 0.594561 |
import gc
from adafruit_portalbase.network import (
NetworkBase,
CONTENT_JSON,
CONTENT_TEXT,
)
from adafruit_pyportal.wifi import WiFi
__version__ = "0.0.0-auto.0"
__repo__ = "https://github.com/adafruit/Adafruit_CircuitPython_PyPortal.git"
IMAGE_CONVERTER_SERVICE = (
"https://io.adafruit.com... | true | true |
f70bad7ea69e067caab69fe4854350f67d504f31 | 5,718 | py | Python | src/sadie/renumbering/result.py | jwillis0720/pybody | 2d7c68650ac1ef5f3003ccb67171898eac1f63eb | [
"MIT"
] | null | null | null | src/sadie/renumbering/result.py | jwillis0720/pybody | 2d7c68650ac1ef5f3003ccb67171898eac1f63eb | [
"MIT"
] | null | null | null | src/sadie/renumbering/result.py | jwillis0720/pybody | 2d7c68650ac1ef5f3003ccb67171898eac1f63eb | [
"MIT"
] | null | null | null | import logging
import pandas as pd
from ast import literal_eval
from .constants import NUMBERING_RESULTS
from sadie.numbering.scheme_numbering import scheme_numbering
logger = logging.getLogger("NUMBERING")
class NumberingResults(pd.DataFrame):
def __init__(self, *args, scheme="", region_definition="", allowed_... | 38.635135 | 120 | 0.549668 | import logging
import pandas as pd
from ast import literal_eval
from .constants import NUMBERING_RESULTS
from sadie.numbering.scheme_numbering import scheme_numbering
logger = logging.getLogger("NUMBERING")
class NumberingResults(pd.DataFrame):
def __init__(self, *args, scheme="", region_definition="", allowed_... | true | true |
f70bade14a31fddad9b14b51709da0b4d1094b8f | 1,071 | py | Python | tests/test_split_settings.py | abdulniyaspm/django-split-settings | 9a004ce261ffd16782da08577fb700300f3bd40b | [
"BSD-3-Clause"
] | 1 | 2021-04-21T03:07:15.000Z | 2021-04-21T03:07:15.000Z | tests/test_split_settings.py | abdulniyaspm/django-split-settings | 9a004ce261ffd16782da08577fb700300f3bd40b | [
"BSD-3-Clause"
] | null | null | null | tests/test_split_settings.py | abdulniyaspm/django-split-settings | 9a004ce261ffd16782da08577fb700300f3bd40b | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# pylint: disable=no-member
"""
This file contains tests with base functionality.
"""
def test_merge(merged):
"""
Test that all values from settings are present.
"""
assert hasattr(merged, 'SECRET_KEY')
assert hasattr(merged, 'STATIC_ROOT')
def test_override(merged, mon... | 23.8 | 73 | 0.704949 |
def test_merge(merged):
assert hasattr(merged, 'SECRET_KEY')
assert hasattr(merged, 'STATIC_ROOT')
def test_override(merged, monkeypatch):
monkeypatch.setenv('DJANGO_SETTINGS_MODULE', 'tests.settings.merged')
from django.conf import settings
assert merged.STATIC_ROOT == settings.STATI... | true | true |
f70bae9c979732376e4cb729a58df45c13daa528 | 528 | py | Python | backend/home/migrations/0001_load_initial_data.py | crowdbotics-apps/share-34244 | b4acf167275d5bf120b1f0254aabc2e0e95111a9 | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | backend/home/migrations/0001_load_initial_data.py | crowdbotics-apps/share-34244 | b4acf167275d5bf120b1f0254aabc2e0e95111a9 | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | backend/home/migrations/0001_load_initial_data.py | crowdbotics-apps/share-34244 | b4acf167275d5bf120b1f0254aabc2e0e95111a9 | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | from django.db import migrations
def create_site(apps, schema_editor):
Site = apps.get_model("sites", "Site")
custom_domain = "share-34244.botics.co"
site_params = {
"name": "SHARE",
}
if custom_domain:
site_params["domain"] = custom_domain
Site.objects.update_or_create(defau... | 20.307692 | 61 | 0.651515 | from django.db import migrations
def create_site(apps, schema_editor):
Site = apps.get_model("sites", "Site")
custom_domain = "share-34244.botics.co"
site_params = {
"name": "SHARE",
}
if custom_domain:
site_params["domain"] = custom_domain
Site.objects.update_or_create(defau... | true | true |
f70baf1f4016fb95e12e305e4c79a70b93b9b4a6 | 3,210 | py | Python | do_it_django_prj/settings.py | Eliksny/do_it_django_a_to_z | 728d08f11cbed05aa93004d116926df26f681ccf | [
"MIT"
] | null | null | null | do_it_django_prj/settings.py | Eliksny/do_it_django_a_to_z | 728d08f11cbed05aa93004d116926df26f681ccf | [
"MIT"
] | null | null | null | do_it_django_prj/settings.py | Eliksny/do_it_django_a_to_z | 728d08f11cbed05aa93004d116926df26f681ccf | [
"MIT"
] | null | null | null | """
Django settings for do_it_django_prj project.
Generated by 'django-admin startproject' using Django 3.1.1.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.1/ref/settings/
"""
impo... | 25.275591 | 91 | 0.697508 | import os
from pathlib import Path
BASE_DIR = Path(__file__).resolve().parent.parent
SECRET_KEY = '^il&w&37030%c0kbg@9(h+k(jsps53_)brjyw)mksmj=*c^5vf'
DEBUG = True
ALLOWED_HOSTS = []
# Application definition
INSTALLED_APPS = [
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.cont... | true | true |
f70baf4ada1e8690727609371f5fe6b0550ce622 | 1,073 | py | Python | run_on_vacuum/my_logger.py | edwios/xiaomiWifiMapper | 55a4bafcca9f7d000e5df4360e2c8e4584541942 | [
"MIT"
] | 6 | 2019-04-13T07:22:38.000Z | 2022-03-30T16:38:07.000Z | run_on_vacuum/my_logger.py | edwios/xiaomiWifiMapper | 55a4bafcca9f7d000e5df4360e2c8e4584541942 | [
"MIT"
] | null | null | null | run_on_vacuum/my_logger.py | edwios/xiaomiWifiMapper | 55a4bafcca9f7d000e5df4360e2c8e4584541942 | [
"MIT"
] | 1 | 2022-02-08T16:08:21.000Z | 2022-02-08T16:08:21.000Z | import logging
import datetime
import os
def config_logs():
# Logfile
logfolder = "logs/"
logdate = datetime.datetime.now().strftime("%y-%m-%d_%H:%M") + "_"
logfile = "aerodust.log"
logpath = logfolder + logfile
#logpath = logfolder + logdate + logfile
if not os.path.exists(logfolder):
... | 29 | 70 | 0.691519 | import logging
import datetime
import os
def config_logs():
logfolder = "logs/"
logdate = datetime.datetime.now().strftime("%y-%m-%d_%H:%M") + "_"
logfile = "aerodust.log"
logpath = logfolder + logfile
if not os.path.exists(logfolder):
os.makedirs(logfolder)
logfor... | true | true |
f70bafa9d216982e080b2ecad32e8a1c7f55bbe2 | 11,523 | py | Python | httpBridge/http_server.py | neilbroadbent/captive-web-view | ff0b541727ab60df6d05cae1eb66dd9d7b572b89 | [
"BSD-2-Clause"
] | null | null | null | httpBridge/http_server.py | neilbroadbent/captive-web-view | ff0b541727ab60df6d05cae1eb66dd9d7b572b89 | [
"BSD-2-Clause"
] | null | null | null | httpBridge/http_server.py | neilbroadbent/captive-web-view | ff0b541727ab60df6d05cae1eb66dd9d7b572b89 | [
"BSD-2-Clause"
] | null | null | null | # Run with Python 3
# Copyright 2019 VMware, Inc.
# SPDX-License-Identifier: BSD-2-Clause
"""\
HTTP server that can be used as a back end to Captive Web View applications.
The server is based around a Python3 Simple HTTP Server extended to pick files
from one of a number of directories.
The server will change direc... | 38.667785 | 110 | 0.586392 |
import argparse
from http.server import HTTPServer, SimpleHTTPRequestHandler
import json
import chdir
import os.path
from pathlib import Path
import shutil
import ThreadingMixIn
ys
import textwrap
def project_path(*segments):
return Path(__file__).resolve().parents[1].joinpath(*se... | true | true |
f70bb050c191468d1bf7ec98d2a0e34ce404620f | 1,940 | py | Python | environment/controller/ppo_test.py | rafaelcostafrf/UAV_3d_virtual_env | bccaa52ec97fff5c0a17e1351a09f913d91c4c7b | [
"CC0-1.0"
] | 7 | 2020-07-16T08:23:58.000Z | 2022-02-03T17:51:13.000Z | environment/controller/ppo_test.py | rafaelcostafrf/UAV_3D_Virtual_Env | bccaa52ec97fff5c0a17e1351a09f913d91c4c7b | [
"CC0-1.0"
] | null | null | null | environment/controller/ppo_test.py | rafaelcostafrf/UAV_3D_Virtual_Env | bccaa52ec97fff5c0a17e1351a09f913d91c4c7b | [
"CC0-1.0"
] | 3 | 2020-09-16T14:24:48.000Z | 2021-02-03T10:01:00.000Z | import sys
from quadrotor_env import quad, render, animation
import numpy as np
import torch
import torch.nn as nn
from torch.distributions import MultivariateNormal
import numpy as np
from quadrotor_env import quad, render, animation
from model import ActorCritic
"""
MECHANICAL ENGINEERING POST-GRADUATE PROGRAM
UNIVE... | 28.115942 | 98 | 0.716495 | import sys
from quadrotor_env import quad, render, animation
import numpy as np
import torch
import torch.nn as nn
from torch.distributions import MultivariateNormal
import numpy as np
from quadrotor_env import quad, render, animation
from model import ActorCritic
time_int_step = 0.01
max_timesteps = 1000
T = 5
devi... | true | true |
f70bb0dcace5468cfd76a8c6fc2bbcfa258e969a | 926 | py | Python | server.py | serchrod/PlotWebService | 3d744641e7fa187d46903e71b3da6faa1ca80197 | [
"MIT"
] | null | null | null | server.py | serchrod/PlotWebService | 3d744641e7fa187d46903e71b3da6faa1ca80197 | [
"MIT"
] | null | null | null | server.py | serchrod/PlotWebService | 3d744641e7fa187d46903e71b3da6faa1ca80197 | [
"MIT"
] | null | null | null | from flask import Flask, escape, request
from flask import send_file
from Graph.plot import Plot
app = Flask(__name__)
@app.route('/', methods=["POST"])
def hello():
print(request.method)
req_data= request.get_json()
print(req_data)
name = request.args.get("name", "World")
return f'Hello, {escape(name)... | 25.027027 | 63 | 0.679266 | from flask import Flask, escape, request
from flask import send_file
from Graph.plot import Plot
app = Flask(__name__)
@app.route('/', methods=["POST"])
def hello():
print(request.method)
req_data= request.get_json()
print(req_data)
name = request.args.get("name", "World")
return f'Hello, {escape(name)... | true | true |
f70bb2806abe8753fedf0fa824ed6ca2d2632ea8 | 56 | py | Python | django_menus/__init__.py | jonesim/django-menus | 11f46eead9dec3c99724d9d5df87ce7eb0bee730 | [
"MIT"
] | 1 | 2021-11-20T06:24:41.000Z | 2021-11-20T06:24:41.000Z | django_menus/__init__.py | jonesim/django-menus | 11f46eead9dec3c99724d9d5df87ce7eb0bee730 | [
"MIT"
] | null | null | null | django_menus/__init__.py | jonesim/django-menus | 11f46eead9dec3c99724d9d5df87ce7eb0bee730 | [
"MIT"
] | null | null | null | DUMMY_MENU_ID = 999999
DUMMY_MENU_SLUG = 'SLUGGOESHERE'
| 18.666667 | 32 | 0.821429 | DUMMY_MENU_ID = 999999
DUMMY_MENU_SLUG = 'SLUGGOESHERE'
| true | true |
f70bb319fc1590c0ee070b2f24afe5ede7e22037 | 22,466 | py | Python | tests/wav2vec2/test_modeling_flax_wav2vec2.py | techthiyanes/transformers | 705d65368fb28246534ef636fe62c008f4fb2682 | [
"Apache-2.0"
] | 2 | 2020-02-26T08:10:20.000Z | 2020-02-28T19:10:01.000Z | tests/wav2vec2/test_modeling_flax_wav2vec2.py | techthiyanes/transformers | 705d65368fb28246534ef636fe62c008f4fb2682 | [
"Apache-2.0"
] | 1 | 2022-03-26T12:10:11.000Z | 2022-03-26T12:10:11.000Z | tests/wav2vec2/test_modeling_flax_wav2vec2.py | techthiyanes/transformers | 705d65368fb28246534ef636fe62c008f4fb2682 | [
"Apache-2.0"
] | 1 | 2022-01-12T14:45:41.000Z | 2022-01-12T14:45:41.000Z | # Copyright 2021 The HuggingFace Team. 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 applicabl... | 40.921676 | 200 | 0.685658 |
import inspect
import math
import unittest
import numpy as np
from datasets import load_dataset
from transformers import Wav2Vec2Config, is_flax_available
from transformers.testing_utils import (
is_librosa_available,
is_pyctcdecode_available,
require_flax,
require_librosa,
require_p... | true | true |
f70bb3e18995f3440115fb6135f9b27b8831cd83 | 157 | py | Python | src/silicium/utils/require.py | PH-KDX/silicium | 813e8719a4ba381691d3d1b11ea5738bb2ee2d36 | [
"MIT"
] | 2 | 2021-12-12T12:06:46.000Z | 2021-12-12T12:21:18.000Z | src/silicium/utils/require.py | PH-KDX/silicium | 813e8719a4ba381691d3d1b11ea5738bb2ee2d36 | [
"MIT"
] | 1 | 2021-12-12T12:21:43.000Z | 2021-12-12T22:49:46.000Z | src/silicium/utils/require.py | PH-KDX/silicium | 813e8719a4ba381691d3d1b11ea5738bb2ee2d36 | [
"MIT"
] | 2 | 2021-12-12T15:13:54.000Z | 2021-12-21T09:08:42.000Z | import os
def require(file, *args):
with open(os.path.join(os.path.dirname(file), *args), "r") as fh:
source = fh.read()
return source
| 19.625 | 69 | 0.598726 | import os
def require(file, *args):
with open(os.path.join(os.path.dirname(file), *args), "r") as fh:
source = fh.read()
return source
| true | true |
f70bb3f0b9097225846ad1f4840fb47c67f84b16 | 25,331 | py | Python | efficientdet/det_model_fn.py | templeblock/automl | 0a73e836fd4a9d22919cb1ff5af9ca30082fa4b2 | [
"Apache-2.0"
] | null | null | null | efficientdet/det_model_fn.py | templeblock/automl | 0a73e836fd4a9d22919cb1ff5af9ca30082fa4b2 | [
"Apache-2.0"
] | null | null | null | efficientdet/det_model_fn.py | templeblock/automl | 0a73e836fd4a9d22919cb1ff5af9ca30082fa4b2 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 Google Research. 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... | 39.641628 | 80 | 0.67218 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import functools
import re
from absl import logging
import numpy as np
import tensorflow.compat.v1 as tf
import coco_metric
import efficientdet_arch
import hparams_config
import iou_utils
import... | true | true |
f70bb51fb5f77dd016a4f81eefdabf218aad321e | 2,730 | py | Python | app/tests/v1/test_meetup.py | KelynPNjeri/Questioner-API | 5d71b169be0db2d18642b13075b2cc4e3904e9ee | [
"MIT"
] | 1 | 2019-01-15T06:12:37.000Z | 2019-01-15T06:12:37.000Z | app/tests/v1/test_meetup.py | KelynPNjeri/Questioner-API | 5d71b169be0db2d18642b13075b2cc4e3904e9ee | [
"MIT"
] | 17 | 2019-01-08T16:02:37.000Z | 2019-10-21T17:38:01.000Z | app/tests/v1/test_meetup.py | KelynPNjeri/Questioner-API | 5d71b169be0db2d18642b13075b2cc4e3904e9ee | [
"MIT"
] | null | null | null | """Module for Testing the Meetup Endpoint."""
import json
# Local Import
from .basecase import TestBaseCase as base
class TestMeetup(base):
"""Testing the Meetup Endpoints with valid input."""
def setUp(self):
base.setUp(self)
def test_create_meetup(self):
"""Testing Creation of a Meetu... | 42 | 172 | 0.675824 | import json
from .basecase import TestBaseCase as base
class TestMeetup(base):
def setUp(self):
base.setUp(self)
def test_create_meetup(self):
response = self.client.post(
"/api/v1/meetups",
data=json.dumps(self.meetup_payload),
content_type=self.conten... | true | true |
f70bb60cd9a165991bea09f982f2310be199ff23 | 4,891 | py | Python | yolo3/models/yolo3_resnet50.py | holajoa/keras-YOLOv3-model-set | c15b8a2f48371c063f6482b25593dc70d5956323 | [
"MIT"
] | 601 | 2019-08-24T10:14:52.000Z | 2022-03-29T15:05:33.000Z | yolo3/models/yolo3_resnet50.py | holajoa/keras-YOLOv3-model-set | c15b8a2f48371c063f6482b25593dc70d5956323 | [
"MIT"
] | 220 | 2019-10-04T18:57:59.000Z | 2022-03-31T15:30:37.000Z | yolo3/models/yolo3_resnet50.py | holajoa/keras-YOLOv3-model-set | c15b8a2f48371c063f6482b25593dc70d5956323 | [
"MIT"
] | 218 | 2019-10-31T03:32:11.000Z | 2022-03-25T14:44:19.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""YOLO_v3 ResNet50 Model Defined in Keras."""
from tensorflow.keras.layers import UpSampling2D, Concatenate
from tensorflow.keras.models import Model
from tensorflow.keras.applications.resnet import ResNet50
from yolo3.models.layers import yolo3_predictions, yol... | 36.22963 | 143 | 0.686363 |
from tensorflow.keras.layers import UpSampling2D, Concatenate
from tensorflow.keras.models import Model
from tensorflow.keras.applications.resnet import ResNet50
from yolo3.models.layers import yolo3_predictions, yolo3lite_predictions, tiny_yolo3_predictions, tiny_yolo3lite_predictions
def yolo3_resnet50_... | true | true |
f70bb65474dfcd0bf14ad96f156718369f73d25c | 4,069 | py | Python | experiments/ashvin/icml2020/hand/sparse/rewards_relocate1.py | Asap7772/rail-rl-franka-eval | 4bf99072376828193d05b53cf83c7e8f4efbd3ba | [
"MIT"
] | null | null | null | experiments/ashvin/icml2020/hand/sparse/rewards_relocate1.py | Asap7772/rail-rl-franka-eval | 4bf99072376828193d05b53cf83c7e8f4efbd3ba | [
"MIT"
] | null | null | null | experiments/ashvin/icml2020/hand/sparse/rewards_relocate1.py | Asap7772/rail-rl-franka-eval | 4bf99072376828193d05b53cf83c7e8f4efbd3ba | [
"MIT"
] | null | null | null | """
AWR + SAC from demo experiment
"""
from railrl.demos.source.dict_to_mdp_path_loader import DictToMDPPathLoader
from railrl.demos.source.mdp_path_loader import MDPPathLoader
from railrl.launchers.experiments.ashvin.awr_sac_rl import experiment
import railrl.misc.hyperparameter as hyp
from railrl.launchers.arglaunc... | 30.140741 | 75 | 0.574343 |
from railrl.demos.source.dict_to_mdp_path_loader import DictToMDPPathLoader
from railrl.demos.source.mdp_path_loader import MDPPathLoader
from railrl.launchers.experiments.ashvin.awr_sac_rl import experiment
import railrl.misc.hyperparameter as hyp
from railrl.launchers.arglauncher import run_variants
from railrl.to... | true | true |
f70bb6d64ee156cd9362f37bcdaef380680dc2cd | 26,277 | py | Python | parlai/tasks/blended_skill_talk/agents.py | Misterion777/ParlAI | 1a6849d643a30a9a981825d9f50470b6512817c5 | [
"MIT"
] | null | null | null | parlai/tasks/blended_skill_talk/agents.py | Misterion777/ParlAI | 1a6849d643a30a9a981825d9f50470b6512817c5 | [
"MIT"
] | null | null | null | parlai/tasks/blended_skill_talk/agents.py | Misterion777/ParlAI | 1a6849d643a30a9a981825d9f50470b6512817c5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import copy
import os
import random
import re
from collections import defaultdict
from typing import List, Optional, Dic... | 41.381102 | 247 | 0.595464 |
import copy
import os
import random
import re
from collections import defaultdict
from typing import List, Optional, Dict, Tuple
from parlai.core.opt import Opt
from parlai.core.teachers import ParlAIDialogTeacher, create_task_agent_from_taskname
from parlai.tasks.convai2.agents import BothTeacher
from parlai.ta... | true | true |
f70bb732c7dba05e730ab3f4b6cafea04d163ce2 | 2,582 | py | Python | meiduo_mall02/apps/users/migrations/0003_auto_20190519_1544.py | hongyinwang/meiduo_project02 | 3f21773d2d98204400ea2c3738969ac2a593b242 | [
"MIT"
] | null | null | null | meiduo_mall02/apps/users/migrations/0003_auto_20190519_1544.py | hongyinwang/meiduo_project02 | 3f21773d2d98204400ea2c3738969ac2a593b242 | [
"MIT"
] | null | null | null | meiduo_mall02/apps/users/migrations/0003_auto_20190519_1544.py | hongyinwang/meiduo_project02 | 3f21773d2d98204400ea2c3738969ac2a593b242 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.11 on 2019-05-19 15:44
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('areas', '0001_initial'),
... | 52.693878 | 168 | 0.62316 |
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('areas', '0001_initial'),
('users', '0002_user_email_active'),
]
operations = [
... | true | true |
f70bb8099e8fc99c6b1915a64aa50ef8bc9e551b | 466 | py | Python | pylearn/assignment/triangle/04.py | wangding/demo-code | ecc225642ba3aa1463f7e15b0f7fd96ecd43f067 | [
"MIT"
] | 6 | 2017-10-12T06:17:37.000Z | 2022-03-09T13:57:32.000Z | pylearn/assignment/triangle/04.py | wangding/demo-code | ecc225642ba3aa1463f7e15b0f7fd96ecd43f067 | [
"MIT"
] | 4 | 2017-06-09T01:31:13.000Z | 2020-09-01T20:08:17.000Z | pylearn/assignment/triangle/04.py | wangding/demo-code | ecc225642ba3aa1463f7e15b0f7fd96ecd43f067 | [
"MIT"
] | 4 | 2017-10-10T08:57:53.000Z | 2018-07-05T09:03:47.000Z | #! /user/bin/env python
# _*_ coding: utf-8 _*_
# __author__ = "王顶"
# Email: 408542507@qq.com
"""
循环切片实现
需求总是改变，一会是4层金字塔，一会儿是5层金子塔
到底要几层，改一下 while 循环的条件变量就行了
"""
level = 0
line = ''
stars = '*******************************************'
spaces = ' '
while level < 4:
n ... | 19.416667 | 54 | 0.450644 |
level = 0
line = ''
stars = '*******************************************'
spaces = ' '
while level < 4:
n = level * 2 + 1
m = 4 - level
line = spaces[:m] + stars[:n]
print(line)
level = level + 1 | true | true |
f70bba66989a10c1afc4308f981a114b3aac0610 | 4,231 | py | Python | tests/st/ops/cpu/test_broadcast_to_op.py | PowerOlive/mindspore | bda20724a94113cedd12c3ed9083141012da1f15 | [
"Apache-2.0"
] | 3,200 | 2020-02-17T12:45:41.000Z | 2022-03-31T20:21:16.000Z | tests/st/ops/cpu/test_broadcast_to_op.py | zimo-geek/mindspore | 665ec683d4af85c71b2a1f0d6829356f2bc0e1ff | [
"Apache-2.0"
] | 176 | 2020-02-12T02:52:11.000Z | 2022-03-28T22:15:55.000Z | tests/st/ops/cpu/test_broadcast_to_op.py | zimo-geek/mindspore | 665ec683d4af85c71b2a1f0d6829356f2bc0e1ff | [
"Apache-2.0"
] | 621 | 2020-03-09T01:31:41.000Z | 2022-03-30T03:43:19.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 35.258333 | 78 | 0.670527 |
import numpy as np
import pytest
import mindspore.context as context
from mindspore.common.tensor import Tensor
from mindspore.ops import operations as P
@pytest.mark.level0
@pytest.mark.platform_x86_cpu
@pytest.mark.env_onecard
def test_broadcast():
context.set_context(mode=context.GRAPH_MODE, de... | true | true |
f70bbae8184a4fbe5f16077443f13743bf9bd7ba | 3,695 | py | Python | huaweicloud-sdk-smn/huaweicloudsdksmn/v2/model/update_application_endpoint_request_body.py | wuchen-huawei/huaweicloud-sdk-python-v3 | 3683d703f4320edb2b8516f36f16d485cff08fc2 | [
"Apache-2.0"
] | 1 | 2021-04-16T07:59:28.000Z | 2021-04-16T07:59:28.000Z | huaweicloud-sdk-smn/huaweicloudsdksmn/v2/model/update_application_endpoint_request_body.py | wuchen-huawei/huaweicloud-sdk-python-v3 | 3683d703f4320edb2b8516f36f16d485cff08fc2 | [
"Apache-2.0"
] | null | null | null | huaweicloud-sdk-smn/huaweicloudsdksmn/v2/model/update_application_endpoint_request_body.py | wuchen-huawei/huaweicloud-sdk-python-v3 | 3683d703f4320edb2b8516f36f16d485cff08fc2 | [
"Apache-2.0"
] | 1 | 2022-01-17T02:24:18.000Z | 2022-01-17T02:24:18.000Z | # coding: utf-8
import pprint
import re
import six
class UpdateApplicationEndpointRequestBody:
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
... | 26.775362 | 87 | 0.573748 |
import pprint
import re
import six
class UpdateApplicationEndpointRequestBody:
sensitive_list = []
openapi_types = {
'enabled': 'str',
'user_data': 'str'
}
attribute_map = {
'enabled': 'enabled',
'user_data': 'user_data'
}
def __init__(self, enabled=... | true | true |
f70bbd6d1707e41946b26993726d5c4787519f5a | 332 | py | Python | tests/test_info_ordering.py | aventon1/text-summarizer | d7540bfd862b1222f6ebd7875948bbf20c52f603 | [
"MIT"
] | null | null | null | tests/test_info_ordering.py | aventon1/text-summarizer | d7540bfd862b1222f6ebd7875948bbf20c52f603 | [
"MIT"
] | null | null | null | tests/test_info_ordering.py | aventon1/text-summarizer | d7540bfd862b1222f6ebd7875948bbf20c52f603 | [
"MIT"
] | 2 | 2019-10-09T17:17:40.000Z | 2020-11-30T05:05:07.000Z | #!opt/python-3.6/bin/python3
import unittest
import sys
sys.path.append("../src")
from info_ordering import order_info
class TestInfoOrdering(unittest.TestCase):
def test_order_info(self):
# TODO: fix to actually test
value = 5
self.assertEqual(value, 5)
if __name__ == '__main__':
uni... | 18.444444 | 42 | 0.692771 |
import unittest
import sys
sys.path.append("../src")
from info_ordering import order_info
class TestInfoOrdering(unittest.TestCase):
def test_order_info(self):
value = 5
self.assertEqual(value, 5)
if __name__ == '__main__':
unittest.main() | true | true |
f70bbe427124f831ca320689a3b1138ac1f62dfa | 15,815 | py | Python | mypy/semanal_typeddict.py | SwagatSBhuyan/mypy | 218b91c5576a69da51e0813abd0fc7c5fd2d627e | [
"PSF-2.0"
] | 12,496 | 2016-02-19T13:38:26.000Z | 2022-03-31T23:56:19.000Z | mypy/semanal_typeddict.py | SwagatSBhuyan/mypy | 218b91c5576a69da51e0813abd0fc7c5fd2d627e | [
"PSF-2.0"
] | 9,429 | 2016-02-19T13:41:32.000Z | 2022-03-31T23:29:38.000Z | mypy/semanal_typeddict.py | SwagatSBhuyan/mypy | 218b91c5576a69da51e0813abd0fc7c5fd2d627e | [
"PSF-2.0"
] | 2,770 | 2016-02-19T16:18:19.000Z | 2022-03-31T08:12:49.000Z | """Semantic analysis of TypedDict definitions."""
from mypy.backports import OrderedDict
from typing import Optional, List, Set, Tuple
from typing_extensions import Final
from mypy.types import Type, AnyType, TypeOfAny, TypedDictType, TPDICT_NAMES
from mypy.nodes import (
CallExpr, TypedDictExpr, Expression, Name... | 47.779456 | 99 | 0.583244 |
from mypy.backports import OrderedDict
from typing import Optional, List, Set, Tuple
from typing_extensions import Final
from mypy.types import Type, AnyType, TypeOfAny, TypedDictType, TPDICT_NAMES
from mypy.nodes import (
CallExpr, TypedDictExpr, Expression, NameExpr, Context, StrExpr, BytesExpr, UnicodeExpr,
... | true | true |
f70bbe50147981c90239bd8aac6d747789d5ce75 | 3,673 | py | Python | main.py | omergoc/ihbarBotu | a30028be26a65b67e0d5c94547e17ab7f00c2a81 | [
"Apache-2.0"
] | null | null | null | main.py | omergoc/ihbarBotu | a30028be26a65b67e0d5c94547e17ab7f00c2a81 | [
"Apache-2.0"
] | null | null | null | main.py | omergoc/ihbarBotu | a30028be26a65b67e0d5c94547e17ab7f00c2a81 | [
"Apache-2.0"
] | null | null | null | from bs4 import BeautifulSoup
import requests
import os
class App:
def __init__(self):
self.userlist = []
self.headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.212 Safari/537.36"}
self.page = 1
... | 39.923913 | 157 | 0.494963 | from bs4 import BeautifulSoup
import requests
import os
class App:
def __init__(self):
self.userlist = []
self.headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.212 Safari/537.36"}
self.page = 1
... | true | true |
f70bbe7af3801fa430e6f0bec3f47ab6459ea35a | 4,689 | py | Python | esmvaltool/diag_scripts/ocean/diagnostic_profiles.py | ruthlorenz/ESMValTool | c3c61b5341037d01c776c3524c0dd4c767507a3d | [
"Apache-2.0"
] | null | null | null | esmvaltool/diag_scripts/ocean/diagnostic_profiles.py | ruthlorenz/ESMValTool | c3c61b5341037d01c776c3524c0dd4c767507a3d | [
"Apache-2.0"
] | null | null | null | esmvaltool/diag_scripts/ocean/diagnostic_profiles.py | ruthlorenz/ESMValTool | c3c61b5341037d01c776c3524c0dd4c767507a3d | [
"Apache-2.0"
] | null | null | null | """
Diagnostic:
Diagnostic to produce images of the profile over time from a cube.
These plost show cube value (ie temperature) on the x-axis, and depth/height
on the y axis. The colour scale is the annual mean of the cube data.
Note that this diagnostic assumes that the preprocessors do the bulk of the
hard work, an... | 26.794286 | 78 | 0.622521 | import logging
import os
import sys
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import iris
import iris.quickplot as qplt
import diagnostic_tools as diagtools
from esmvaltool.diag_scripts.shared import run_diagnostic
logger = logging.getLogger(os.path.basename(__file__))
logging.getLog... | true | true |
f70bbe7da9fe3c9d459fd663fd9800dbefafe584 | 2,122 | py | Python | test/python/test_problem_options.py | vlad17/BlitzML | f13e089acf7435416bec17e87e5b3130426fc2cd | [
"BSD-3-Clause"
] | 6 | 2015-06-16T05:17:17.000Z | 2018-08-02T05:50:01.000Z | test/python/test_problem_options.py | vlad17/BlitzML | f13e089acf7435416bec17e87e5b3130426fc2cd | [
"BSD-3-Clause"
] | 2 | 2018-05-13T13:53:58.000Z | 2019-06-11T14:53:26.000Z | test/python/test_problem_options.py | vlad17/BlitzML | f13e089acf7435416bec17e87e5b3130426fc2cd | [
"BSD-3-Clause"
] | 3 | 2018-08-02T05:50:03.000Z | 2021-02-21T04:44:15.000Z | import unittest
import blitzml
import numpy as np
from common import captured_output
class TestProblemOptions(unittest.TestCase):
def setUp(self):
A = np.arange(20).reshape(5, 4)
b = np.arange(5).astype(np.float64)
self.prob = blitzml.LassoProblem(A, b)
def tearDown(self):
del self.prob
def te... | 30.753623 | 59 | 0.723845 | import unittest
import blitzml
import numpy as np
from common import captured_output
class TestProblemOptions(unittest.TestCase):
def setUp(self):
A = np.arange(20).reshape(5, 4)
b = np.arange(5).astype(np.float64)
self.prob = blitzml.LassoProblem(A, b)
def tearDown(self):
del self.prob
def te... | true | true |
f70bbfa4c46a7b61211c94260b55968ce1dd3e22 | 5,156 | py | Python | webscraping/Tokenize.py | jfmendozam/ontotoutra | bea4ceafa62500b23495a6de120884ca40f785e9 | [
"Apache-2.0"
] | null | null | null | webscraping/Tokenize.py | jfmendozam/ontotoutra | bea4ceafa62500b23495a6de120884ca40f785e9 | [
"Apache-2.0"
] | null | null | null | webscraping/Tokenize.py | jfmendozam/ontotoutra | bea4ceafa62500b23495a6de120884ca40f785e9 | [
"Apache-2.0"
] | null | null | null | import nltk
from langdetect import detect
import csv
class Tokenize:
""" Text tokenizer """
def __init__(self):
""" Default constructor """
self.language = "en"
self.workDirectory = "/run/media/jf/Datos/Tourist Text Mining/datasets/colombia_en/"
self.tagFilename = "t... | 32.840764 | 114 | 0.442591 | import nltk
from langdetect import detect
import csv
class Tokenize:
def __init__(self):
self.language = "en"
self.workDirectory = "/run/media/jf/Datos/Tourist Text Mining/datasets/colombia_en/"
self.tagFilename = "tags_en.csv"
self.wfFilename = "words_freq_en.csv"
... | true | true |
f70bbfe4549985072572f1ddf6fb4774ad2ef538 | 562 | py | Python | tests/static/yaff_test_files/sp/yscript.py | t-brink/pyiron | c07552b54a39e3f036ba395325cd4b372af0f794 | [
"BSD-3-Clause"
] | null | null | null | tests/static/yaff_test_files/sp/yscript.py | t-brink/pyiron | c07552b54a39e3f036ba395325cd4b372af0f794 | [
"BSD-3-Clause"
] | 1 | 2021-11-02T09:22:56.000Z | 2021-11-02T09:22:56.000Z | tests/static/yaff_test_files/sp/yscript.py | t-brink/pyiron | c07552b54a39e3f036ba395325cd4b372af0f794 | [
"BSD-3-Clause"
] | 1 | 2021-11-02T08:35:47.000Z | 2021-11-02T08:35:47.000Z | #! /usr/bin/python
from molmod.units import *
from yaff import *
import h5py, numpy as np
#Setting up system and force field
system = System.from_file('system.chk')
ff = ForceField.generate(system, 'pars.txt', rcut=15.0*angstrom, alpha_scale=3.2, gcut_scale=1.5, smooth_ei=True)
#Setting up output
f = h5py.File('outp... | 23.416667 | 113 | 0.717082 |
from molmod.units import *
from yaff import *
import h5py, numpy as np
system = System.from_file('system.chk')
ff = ForceField.generate(system, 'pars.txt', rcut=15.0*angstrom, alpha_scale=3.2, gcut_scale=1.5, smooth_ei=True)
f = h5py.File('output.h5', mode='w')
hdf5 = HDF5Writer(f, step=1)
r = h5py.File('restart.... | true | true |
f70bc02a75fa586549688f9970179c4376a1feab | 1,410 | py | Python | multiprune_plusone/multiprune_plusone.py | 5joono/Swin-Transformer | b5b7e85aa11ad72b2bec2d458fa78066e4c3d0f2 | [
"MIT"
] | null | null | null | multiprune_plusone/multiprune_plusone.py | 5joono/Swin-Transformer | b5b7e85aa11ad72b2bec2d458fa78066e4c3d0f2 | [
"MIT"
] | null | null | null | multiprune_plusone/multiprune_plusone.py | 5joono/Swin-Transformer | b5b7e85aa11ad72b2bec2d458fa78066e4c3d0f2 | [
"MIT"
] | null | null | null | import os
import numpy as np
import pandas as pd
os.environ['MKL_THREADING_LAYER'] = 'GNU'
# df = pd.DataFrame(columns=['multiprune', 'headstr', 'pluslayer', 'plushead', 'acc1'])
# df.to_csv("multiprune_plusone.csv",index=False)
prevheadlist = [set([7]),set([11]),set([0]),set([7]),set([9]),set([9])]
plusheadlist = [s... | 45.483871 | 285 | 0.656028 | import os
import numpy as np
import pandas as pd
os.environ['MKL_THREADING_LAYER'] = 'GNU'
prevheadlist = [set([7]),set([11]),set([0]),set([7]),set([9]),set([9])]
plusheadlist = [set(range(12))-{7},set(range(12))-{11},set(range(12))-{0},set(range(12))-{7},set(range(12))-{9},set(range(12))-{9}]
for multiprune in ra... | true | true |
f70bc203e41ad8b576f3082f590f0bd6ff805df1 | 1,969 | py | Python | pythonturtle/my_turtle.py | Cleverect/PythonTurtle | 961f8d13cd835e55efa8fd04ebbcb0120ec7dec4 | [
"MIT"
] | 114 | 2019-08-27T11:47:21.000Z | 2022-02-22T11:50:49.000Z | pythonturtle/my_turtle.py | Cleverect/PythonTurtle | 961f8d13cd835e55efa8fd04ebbcb0120ec7dec4 | [
"MIT"
] | 31 | 2019-08-26T22:54:26.000Z | 2022-01-10T17:13:27.000Z | pythonturtle/my_turtle.py | Cleverect/PythonTurtle | 961f8d13cd835e55efa8fd04ebbcb0120ec7dec4 | [
"MIT"
] | 38 | 2019-10-05T07:41:33.000Z | 2022-01-15T03:32:23.000Z | import wx
from .misc.helpers import deg_to_rad, rad_to_deg
from .misc.vector import Vector
# Size of the turtle canvas. We assume no user will have a screen
# so big that the canvas will be bigger than this.
BITMAP_SIZE = Vector((2000, 1200))
# Center of the canvas.
origin = BITMAP_SIZE / 2.0
def to_my_angle(angle... | 25.907895 | 75 | 0.643982 | import wx
from .misc.helpers import deg_to_rad, rad_to_deg
from .misc.vector import Vector
BITMAP_SIZE = Vector((2000, 1200))
origin = BITMAP_SIZE / 2.0
def to_my_angle(angle):
return rad_to_deg(-angle) - 180
def from_my_angle(angle):
return deg_to_rad(-angle + 180)
def from_my_pos(pos):
return ... | true | true |
f70bc44faef09945bde95e95977b11d93d4dcd31 | 1,698 | py | Python | cmsis-svd-parsing/main.py | michael-christen/prototypes | 676dbcfc750b7a0b4a88bcd6a9fc8b109d8cd88f | [
"MIT"
] | null | null | null | cmsis-svd-parsing/main.py | michael-christen/prototypes | 676dbcfc750b7a0b4a88bcd6a9fc8b109d8cd88f | [
"MIT"
] | 9 | 2021-03-10T14:00:17.000Z | 2022-02-27T02:41:57.000Z | cmsis-svd-parsing/main.py | michael-christen/prototypes | 676dbcfc750b7a0b4a88bcd6a9fc8b109d8cd88f | [
"MIT"
] | null | null | null | import click
from cmsis_svd.parser import SVDParser
MCU_OPTIONS = [
'STM32F0xx',
]
MCU2VENDOR_FILE = {
'STM32F0xx': ('STMicro', 'STM32F0xx.svd'),
}
ALL = 'show_all'
def show_register(register):
fields = []
for field in register.fields:
upper_index = field.bit_offset + field.bit_width - 1
... | 29.789474 | 112 | 0.668433 | import click
from cmsis_svd.parser import SVDParser
MCU_OPTIONS = [
'STM32F0xx',
]
MCU2VENDOR_FILE = {
'STM32F0xx': ('STMicro', 'STM32F0xx.svd'),
}
ALL = 'show_all'
def show_register(register):
fields = []
for field in register.fields:
upper_index = field.bit_offset + field.bit_width - 1
... | true | true |
f70bc45cd14977ecb22dd06d2ffddc212674349a | 14,910 | py | Python | mycv/train.py | duanzhiihao/mycv | 184b52f7a5c1b6f603122d4f4050952b65ba0ead | [
"MIT"
] | null | null | null | mycv/train.py | duanzhiihao/mycv | 184b52f7a5c1b6f603122d4f4050952b65ba0ead | [
"MIT"
] | null | null | null | mycv/train.py | duanzhiihao/mycv | 184b52f7a5c1b6f603122d4f4050952b65ba0ead | [
"MIT"
] | null | null | null | from mycv.utils.general import disable_multithreads
disable_multithreads()
import os
from pathlib import Path
import argparse
from tqdm import tqdm
import math
import torch
import torch.cuda.amp as amp
from torch.optim.lr_scheduler import LambdaLR
from torch.nn.parallel import DistributedDataParallel as DDP
import wand... | 39.340369 | 93 | 0.576526 | from mycv.utils.general import disable_multithreads
disable_multithreads()
import os
from pathlib import Path
import argparse
from tqdm import tqdm
import math
import torch
import torch.cuda.amp as amp
from torch.optim.lr_scheduler import LambdaLR
from torch.nn.parallel import DistributedDataParallel as DDP
import wand... | true | true |
f70bc4b73a9f5b613ca9d0d69fb70d4dd3db32df | 13,451 | py | Python | config/settings/base.py | CrazyMath/smcrm | 7027026d450279d63b81147e49cc2be2be622550 | [
"MIT"
] | null | null | null | config/settings/base.py | CrazyMath/smcrm | 7027026d450279d63b81147e49cc2be2be622550 | [
"MIT"
] | null | null | null | config/settings/base.py | CrazyMath/smcrm | 7027026d450279d63b81147e49cc2be2be622550 | [
"MIT"
] | null | null | null | """
Base settings to build other settings files upon.
"""
from pathlib import Path
import environ
ROOT_DIR = Path(__file__).resolve(strict=True).parent.parent.parent
# smcrm/
APPS_DIR = ROOT_DIR / "smcrm"
env = environ.Env()
READ_DOT_ENV_FILE = env.bool("DJANGO_READ_DOT_ENV_FILE", default=False)
if READ_DOT_ENV_FILE... | 42.701587 | 100 | 0.647833 | from pathlib import Path
import environ
ROOT_DIR = Path(__file__).resolve(strict=True).parent.parent.parent
APPS_DIR = ROOT_DIR / "smcrm"
env = environ.Env()
READ_DOT_ENV_FILE = env.bool("DJANGO_READ_DOT_ENV_FILE", default=False)
if READ_DOT_ENV_FILE:
env.read_env(str(ROOT_DIR / ".env"))
= env.bool("DJ... | true | true |
f70bc4c80a5039b58b01dee499a76cc5f8cb418b | 1,693 | py | Python | utils/imgs_getter.py | albertschr/wechat_robot_supported_blockchain | 27b257bb9cfc491f0c6b8178a0fe0de9e92dd5c5 | [
"MIT"
] | 7 | 2019-04-01T01:04:52.000Z | 2019-04-30T09:09:30.000Z | utils/imgs_getter.py | albertschr/wechat_robot_supported_blockchain | 27b257bb9cfc491f0c6b8178a0fe0de9e92dd5c5 | [
"MIT"
] | 6 | 2019-03-09T03:17:02.000Z | 2019-04-03T11:51:13.000Z | utils/imgs_getter.py | leeduckgo/wechat_robot_supported_blockchain | 27b257bb9cfc491f0c6b8178a0fe0de9e92dd5c5 | [
"MIT"
] | 6 | 2019-03-08T01:50:40.000Z | 2019-03-22T02:06:02.000Z | # -*- coding: utf-8 -*-
"""
获取YCY图片
"""
import json
import os
import requests
from settings import PROJECT_PATH
class YCYImage(object):
def __init__(self):
self.headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/72.0.3626.121 Safari/537.36"... | 29.189655 | 158 | 0.546958 |
import json
import os
import requests
from settings import PROJECT_PATH
class YCYImage(object):
def __init__(self):
self.headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/72.0.3626.121 Safari/537.36",
}
def get_i... | true | true |
f70bc60d5ef867aef041dfad4d51b7dc3f6c6c3a | 4,772 | py | Python | dace/transformation/testing.py | targetsm/dace | 297b12804a334df8cc6fad5250d5fb0cce20dc6e | [
"BSD-3-Clause"
] | null | null | null | dace/transformation/testing.py | targetsm/dace | 297b12804a334df8cc6fad5250d5fb0cce20dc6e | [
"BSD-3-Clause"
] | null | null | null | dace/transformation/testing.py | targetsm/dace | 297b12804a334df8cc6fad5250d5fb0cce20dc6e | [
"BSD-3-Clause"
] | null | null | null | # Copyright 2019-2020 ETH Zurich and the DaCe authors. All rights reserved.
import copy
from io import StringIO
import os
import sys
import traceback
from dace.sdfg import SDFG
from dace.transformation.optimizer import Optimizer
class TransformationTester(Optimizer):
""" An SDFG optimizer that consecutively appl... | 34.085714 | 80 | 0.548617 |
import copy
from io import StringIO
import os
import sys
import traceback
from dace.sdfg import SDFG
from dace.transformation.optimizer import Optimizer
class TransformationTester(Optimizer):
def __init__(self,
sdfg: SDFG,
depth=1,
validate=True,
... | true | true |
f70bc898982ac2eebdf07a06cfac61453b208b2a | 1,639 | py | Python | snake/main/point.py | megh-khaire/SnakeAIs | 1dbc76a47a3bb4651c426f04671ae8ae12079c97 | [
"Apache-2.0"
] | null | null | null | snake/main/point.py | megh-khaire/SnakeAIs | 1dbc76a47a3bb4651c426f04671ae8ae12079c97 | [
"Apache-2.0"
] | null | null | null | snake/main/point.py | megh-khaire/SnakeAIs | 1dbc76a47a3bb4651c426f04671ae8ae12079c97 | [
"Apache-2.0"
] | null | null | null | import pygame
from snake.resources.constants import BLOCK_SIZE, WIDTH, HEIGHT
from snake.resources.directions import Direction
class Point:
def __init__(self, x, y):
self.x = x
self.y = y
self.f = 0
self.g = 0
self.h = 0
self.neighbors = []
self.origin = Non... | 37.25 | 93 | 0.611959 | import pygame
from snake.resources.constants import BLOCK_SIZE, WIDTH, HEIGHT
from snake.resources.directions import Direction
class Point:
def __init__(self, x, y):
self.x = x
self.y = y
self.f = 0
self.g = 0
self.h = 0
self.neighbors = []
self.origin = Non... | true | true |
f70bc89ae28e0a1442364b6237ac83deeb24e3ef | 3,508 | py | Python | examples/01_modelling/plot_06_synthetic_4d.py | geophysics-ubonn/crtomo_tools | a01b4d31d7250bc729605ae4dc035f108168128e | [
"MIT"
] | 2 | 2021-03-05T14:30:20.000Z | 2021-04-16T05:31:07.000Z | examples/01_modelling/plot_06_synthetic_4d.py | geophysics-ubonn/crtomo_tools | a01b4d31d7250bc729605ae4dc035f108168128e | [
"MIT"
] | 1 | 2019-06-06T12:22:26.000Z | 2019-06-06T12:22:26.000Z | examples/01_modelling/plot_06_synthetic_4d.py | geophysics-ubonn/crtomo_tools | a01b4d31d7250bc729605ae4dc035f108168128e | [
"MIT"
] | 9 | 2019-02-22T12:17:50.000Z | 2021-09-01T01:47:55.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Generating a 4D synthetic data set with noise.
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
A 2D space, time and frequency data set is generated for testing purposes in
reda.
"""
###############################################################################
# import... | 37.319149 | 82 | 0.586374 | true | true | |
f70bc95dea3ed52a2d7c9b3d4c50969f525e91e1 | 619 | py | Python | test/test_add_contact.py | Atush/py_learning | 2c25151882eb0fc8864fd868cf20d04311d2bac7 | [
"Apache-2.0"
] | null | null | null | test/test_add_contact.py | Atush/py_learning | 2c25151882eb0fc8864fd868cf20d04311d2bac7 | [
"Apache-2.0"
] | null | null | null | test/test_add_contact.py | Atush/py_learning | 2c25151882eb0fc8864fd868cf20d04311d2bac7 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from model.contact import Contact
def test_add_contact(app, json_contacts, db, check_ui):
contact=json_contacts
app.open_home_page()
old_contacts = db.get_contact_list()
app.contact.create(contact)
assert len(old_contacts) + 1 == app.contact.count()
new_contacts = db.g... | 38.6875 | 123 | 0.73021 |
from model.contact import Contact
def test_add_contact(app, json_contacts, db, check_ui):
contact=json_contacts
app.open_home_page()
old_contacts = db.get_contact_list()
app.contact.create(contact)
assert len(old_contacts) + 1 == app.contact.count()
new_contacts = db.get_contact_list()
o... | true | true |
f70bcacb9fbd7c0eef2a877d9d13e34b3353d545 | 6,654 | py | Python | src/models/model_evaluate.py | singh-karanpal/Capstone | 807ca3f70276a0dd17244a123a759a914d358424 | [
"MIT"
] | null | null | null | src/models/model_evaluate.py | singh-karanpal/Capstone | 807ca3f70276a0dd17244a123a759a914d358424 | [
"MIT"
] | null | null | null | src/models/model_evaluate.py | singh-karanpal/Capstone | 807ca3f70276a0dd17244a123a759a914d358424 | [
"MIT"
] | null | null | null | # author: Carlina Kim, Karanpal Singh, Sukriti Trehan, Victor Cuspinera
# date: 2020-06-21
'''This script will read the saved theme/subtheme model(s), padded validation sets and y validation sets for model evaluation,
and will save the evaluation results in the specified directory.
There are 2 parameters Input Path ... | 42.653846 | 175 | 0.625338 |
import pandas as pd
import numpy as np
from docopt import docopt
from sklearn.metrics import precision_score, recall_score, f1_score, accuracy_score, precision_recall_curve
import matplotlib.pyplot as plt
import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()
opt = docopt(__doc__)
print("\n-----START: model... | true | true |
f70bccb51593edf285f53782a14711199b469634 | 6,083 | py | Python | applications/graph/node2vec/randproj.py | aj-prime/lbann | a4cf81386b3f43586057b5312192e180b1259add | [
"Apache-2.0"
] | null | null | null | applications/graph/node2vec/randproj.py | aj-prime/lbann | a4cf81386b3f43586057b5312192e180b1259add | [
"Apache-2.0"
] | 5 | 2021-07-15T20:51:21.000Z | 2022-01-01T03:18:05.000Z | applications/graph/node2vec/randproj.py | aj-prime/lbann | a4cf81386b3f43586057b5312192e180b1259add | [
"Apache-2.0"
] | null | null | null | """Learn embedding weights with LBANN."""
import argparse
import os.path
import numpy as np
import lbann
import lbann.contrib.launcher
import lbann.contrib.args
import data.data_readers
import model.random_projection
import utils
import utils.graph
import utils.snap
root_dir = os.path.dirname(os.path.realpath(__file... | 28.293023 | 75 | 0.687161 | import argparse
import os.path
import numpy as np
import lbann
import lbann.contrib.launcher
import lbann.contrib.args
import data.data_readers
import model.random_projection
import utils
import utils.graph
import utils.snap
root_dir = os.path.dirname(os.path.realpath(__file__))
parser = argparse.ArgumentParse... | true | true |
f70bcdde6c2b7e2b286a382114dbe03ea56ebf57 | 3,005 | py | Python | tests/lib/bes/testing/framework/test_unit_test_inspect.py | reconstruir/bes | 82ff54b2dadcaef6849d7de424787f1dedace85c | [
"Apache-2.0"
] | null | null | null | tests/lib/bes/testing/framework/test_unit_test_inspect.py | reconstruir/bes | 82ff54b2dadcaef6849d7de424787f1dedace85c | [
"Apache-2.0"
] | null | null | null | tests/lib/bes/testing/framework/test_unit_test_inspect.py | reconstruir/bes | 82ff54b2dadcaef6849d7de424787f1dedace85c | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
#-*- coding:utf-8; mode:python; indent-tabs-mode: nil; c-basic-offset: 2; tab-width: 2 -*-
import os.path as path
from bes.fs.file_util import file_util
from bes.fs.temp_file import temp_file
from bes.testing.unit_test import unit_test
from bes.testing.framework import unit_test_inspect as UTI
fr... | 26.130435 | 90 | 0.671215 |
import os.path as path
from bes.fs.file_util import file_util
from bes.fs.temp_file import temp_file
from bes.testing.unit_test import unit_test
from bes.testing.framework import unit_test_inspect as UTI
from bes.testing.unit_test_skip import raise_skip
class test_unit_test_inspect(unit_test):
@classmethod
d... | true | true |
f70bcdea0c2a415ada92517635d009ce45a9da67 | 840 | py | Python | vcx/wrappers/python3/aries-test-server/inviter.py | sklump/indy-sdk | ee05a89ddf60b42f7483bebf2d89a936e12730df | [
"Apache-2.0"
] | 636 | 2017-05-25T07:45:43.000Z | 2022-03-23T22:30:34.000Z | vcx/wrappers/python3/aries-test-server/inviter.py | Nick-1979/indy-sdk | e5f812e14962f0d51cf96f843033754ff841ce30 | [
"Apache-2.0"
] | 731 | 2017-05-29T07:15:08.000Z | 2022-03-31T07:55:58.000Z | vcx/wrappers/python3/aries-test-server/inviter.py | Nick-1979/indy-sdk | e5f812e14962f0d51cf96f843033754ff841ce30 | [
"Apache-2.0"
] | 904 | 2017-05-25T07:45:49.000Z | 2022-03-31T07:43:31.000Z | import json
from vcx.api.connection import Connection
from utils import init_vcx, run_coroutine_in_new_loop
from connection import BaseConnection
class Inviter(BaseConnection):
async def start(self):
await init_vcx()
print("Create a connection to alice and print out the invite details")
c... | 30 | 78 | 0.679762 | import json
from vcx.api.connection import Connection
from utils import init_vcx, run_coroutine_in_new_loop
from connection import BaseConnection
class Inviter(BaseConnection):
async def start(self):
await init_vcx()
print("Create a connection to alice and print out the invite details")
c... | true | true |
f70bce271d5d7f26a676fc36c142470dd67601e0 | 5,593 | py | Python | server.py | pgneditor/pgneditor | 676334e9325a6d48ac6367d35a03fedf44ec2be9 | [
"MIT"
] | 2 | 2019-07-15T00:52:13.000Z | 2019-08-04T07:46:56.000Z | server.py | pgneditor/pgneditor | 676334e9325a6d48ac6367d35a03fedf44ec2be9 | [
"MIT"
] | 2 | 2021-02-08T20:48:35.000Z | 2021-06-01T23:45:13.000Z | server.py | pgneditor/pgneditor | 676334e9325a6d48ac6367d35a03fedf44ec2be9 | [
"MIT"
] | 1 | 2019-08-04T07:47:04.000Z | 2019-08-04T07:47:04.000Z | ###################################################################
import logging
import tornado.escape
import tornado.ioloop
import tornado.options
import tornado.web
import tornado.websocket
import os.path
import uuid
from os import environ
import json
from tornado.options import define, options
import mimetypes
... | 33.491018 | 122 | 0.576971 | true | true | |
f70bcec89189e9db37ce50fe1f17d8e2b524dad4 | 3,994 | py | Python | nova/tests/functional/regressions/test_bug_1689692.py | bopopescu/nova-8 | 768d7cc0a632e1a880f00c5840c1ec8051e161be | [
"Apache-2.0"
] | null | null | null | nova/tests/functional/regressions/test_bug_1689692.py | bopopescu/nova-8 | 768d7cc0a632e1a880f00c5840c1ec8051e161be | [
"Apache-2.0"
] | 2 | 2015-02-03T06:25:24.000Z | 2015-02-04T10:10:36.000Z | nova/tests/functional/regressions/test_bug_1689692.py | bopopescu/nova-8 | 768d7cc0a632e1a880f00c5840c1ec8051e161be | [
"Apache-2.0"
] | 7 | 2015-01-20T10:30:08.000Z | 2020-02-05T10:29:05.000Z | # Copyright 2017 Huawei Technologies Co.,LTD.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | 46.988235 | 79 | 0.686279 |
from nova import test
from nova.tests import fixtures as nova_fixtures
from nova.tests.functional import integrated_helpers
from nova.tests.unit import cast_as_call
from nova.tests.unit.image import fake as image_fake
from nova.tests.unit import policy_fixture
class ServerListLimitMarkerCell0Test(test.T... | true | true |
f70bd07a185c559699661056ded03831035519a5 | 12,204 | py | Python | isic_archive/models/segmentation_helpers/scikit.py | ImageMarkup/isic-archive | 7cd8097886d685ec629e2fcba079271fb77d028f | [
"Apache-2.0"
] | 42 | 2015-12-12T14:05:46.000Z | 2022-03-26T15:20:39.000Z | isic_archive/models/segmentation_helpers/scikit.py | ImageMarkup/isic-archive | 7cd8097886d685ec629e2fcba079271fb77d028f | [
"Apache-2.0"
] | 494 | 2015-07-09T16:14:12.000Z | 2021-03-09T09:37:36.000Z | isic_archive/models/segmentation_helpers/scikit.py | ImageMarkup/uda | d221af3368baf3a06ecab67e69e9d0077426c8f9 | [
"Apache-2.0"
] | 12 | 2015-08-20T14:20:48.000Z | 2020-10-20T01:14:44.000Z | import collections
import io
from typing import BinaryIO, Tuple, Union
import warnings
import numpy
import skimage.io
import skimage.measure
import skimage.morphology
import skimage.segmentation
import skimage.transform
from .base import BaseSegmentationHelper
class ScikitSegmentationHelper(BaseSegmentationHelper):... | 37.207317 | 100 | 0.619879 | import collections
import io
from typing import BinaryIO, Tuple, Union
import warnings
import numpy
import skimage.io
import skimage.measure
import skimage.morphology
import skimage.segmentation
import skimage.transform
from .base import BaseSegmentationHelper
class ScikitSegmentationHelper(BaseSegmentationHelper):... | true | true |
f70bd2041fc86759e5bde0e6cb049a727675d6f9 | 13,026 | py | Python | mmdet/models/backbones/res2net.py | yypurpose/mmdetection | ec6bfd96eae0af047c623f3d1ec31b0b3f1f4a6c | [
"Apache-2.0"
] | null | null | null | mmdet/models/backbones/res2net.py | yypurpose/mmdetection | ec6bfd96eae0af047c623f3d1ec31b0b3f1f4a6c | [
"Apache-2.0"
] | null | null | null | mmdet/models/backbones/res2net.py | yypurpose/mmdetection | ec6bfd96eae0af047c623f3d1ec31b0b3f1f4a6c | [
"Apache-2.0"
] | null | null | null | import math
import torch
import torch.nn as nn
import torch.utils.checkpoint as cp
from mmcv.cnn import (build_conv_layer, build_norm_layer, constant_init,
kaiming_init)
from mmcv.runner import load_checkpoint
from torch.nn.modules.batchnorm import _BatchNorm
from mmdet.utils import ge... | 37.005682 | 80 | 0.513511 | import math
import torch
import torch.nn as nn
import torch.utils.checkpoint as cp
from mmcv.cnn import (build_conv_layer, build_norm_layer, constant_init,
kaiming_init)
from mmcv.runner import load_checkpoint
from torch.nn.modules.batchnorm import _BatchNorm
from mmdet.utils import ge... | true | true |
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