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f741eeac3679bdedc9994f41f7270233c724b1c4 | 40,024 | py | Python | openmdao.main/src/openmdao/main/test/test_egg_save.py | JustinSGray/OpenMDAO-Framework | 7ebd7fda0b10fbe8a86ae938dc4f135396dd9759 | [
"Apache-2.0"
] | 3 | 2015-06-02T00:36:28.000Z | 2018-11-03T00:35:21.000Z | openmdao.main/src/openmdao/main/test/test_egg_save.py | JustinSGray/OpenMDAO-Framework | 7ebd7fda0b10fbe8a86ae938dc4f135396dd9759 | [
"Apache-2.0"
] | null | null | null | openmdao.main/src/openmdao/main/test/test_egg_save.py | JustinSGray/OpenMDAO-Framework | 7ebd7fda0b10fbe8a86ae938dc4f135396dd9759 | [
"Apache-2.0"
] | null | null | null | """
Test saving and loading of simulations as eggs.
"""
import cPickle
import glob
import logging
import os.path
import pkg_resources
import shutil
import subprocess
import sys
import unittest
import nose
from enthought.traits.api import Callable
from openmdao.main.api import Assembly, Component, Container, SAVE_PIC... | 38.633205 | 95 | 0.577853 | """
Test saving and loading of simulations as eggs.
"""
import cPickle
import glob
import logging
import os.path
import pkg_resources
import shutil
import subprocess
import sys
import unittest
import nose
from enthought.traits.api import Callable
from openmdao.main.api import Assembly, Component, Container, SAVE_PIC... | false | true |
f741f0483705c4b852615cc60573e3956fc231aa | 4,598 | py | Python | tests/unit/transports/event_transport_test.py | allan-simon/haigha | 7b004e1c0316ec14b94fec1c54554654c38b1a25 | [
"BSD-3-Clause"
] | 82 | 2015-03-26T03:57:14.000Z | 2020-05-08T12:35:44.000Z | tests/unit/transports/event_transport_test.py | allan-simon/haigha | 7b004e1c0316ec14b94fec1c54554654c38b1a25 | [
"BSD-3-Clause"
] | 32 | 2015-03-05T22:15:49.000Z | 2019-06-20T20:17:52.000Z | tests/unit/transports/event_transport_test.py | allan-simon/haigha | 7b004e1c0316ec14b94fec1c54554654c38b1a25 | [
"BSD-3-Clause"
] | 24 | 2015-03-23T15:47:35.000Z | 2020-05-08T12:35:45.000Z | '''
Copyright (c) 2011-2017, Agora Games, LLC All rights reserved.
https://github.com/agoragames/haigha/blob/master/LICENSE.txt
'''
from chai import Chai
from haigha.transports import event_transport
from haigha.transports.event_transport import *
class EventTransportTest(Chai):
def setUp(self):
super... | 35.921875 | 83 | 0.670291 |
from chai import Chai
from haigha.transports import event_transport
from haigha.transports.event_transport import *
class EventTransportTest(Chai):
def setUp(self):
super(EventTransportTest, self).setUp()
self.connection = mock()
self.transport = EventTransport(self.connection)
... | true | true |
f741f0d019b5bee234279b686239bab118c8008a | 14,423 | py | Python | AutomatedTesting/Gem/PythonTests/physics/C12712454_ScriptCanvas_OverlapNodeVerification.py | cypherdotXd/o3de | bb90c4ddfe2d495e9c00ebf1e2650c6d603a5676 | [
"Apache-2.0",
"MIT"
] | 1 | 2022-03-12T14:13:45.000Z | 2022-03-12T14:13:45.000Z | AutomatedTesting/Gem/PythonTests/physics/C12712454_ScriptCanvas_OverlapNodeVerification.py | cypherdotXd/o3de | bb90c4ddfe2d495e9c00ebf1e2650c6d603a5676 | [
"Apache-2.0",
"MIT"
] | 2 | 2022-01-13T04:29:38.000Z | 2022-03-12T01:05:31.000Z | AutomatedTesting/Gem/PythonTests/physics/C12712454_ScriptCanvas_OverlapNodeVerification.py | cypherdotXd/o3de | bb90c4ddfe2d495e9c00ebf1e2650c6d603a5676 | [
"Apache-2.0",
"MIT"
] | null | null | null | """
Copyright (c) Contributors to the Open 3D Engine Project.
For complete copyright and license terms please see the LICENSE at the root of this distribution.
SPDX-License-Identifier: Apache-2.0 OR MIT
"""
# Test case ID : 12712454
# Test Case Title : Verify overlap nodes in script canvas
# fmt: off
class Tests:
... | 43.972561 | 125 | 0.657353 |
class Tests:
enter_game_mode = ("Entered game mode", "Failed to enter game mode")
exit_game_mode = ("Exited game mode", "Couldn't exit game mode")
# comm entities are used for communication between script canvas and the python script.
comm_entiti... | true | true |
f741f16fcd4b6ff4539f17ccd45bdb75bedb1a6b | 1,068 | py | Python | qmldataset/configurations/default_config_names.py | rajibchakravorty/QDataSet | 8eb21b8c7dad5654358021dd73b93ab90443f6d0 | [
"MIT"
] | null | null | null | qmldataset/configurations/default_config_names.py | rajibchakravorty/QDataSet | 8eb21b8c7dad5654358021dd73b93ab90443f6d0 | [
"MIT"
] | null | null | null | qmldataset/configurations/default_config_names.py | rajibchakravorty/QDataSet | 8eb21b8c7dad5654358021dd73b93ab90443f6d0 | [
"MIT"
] | null | null | null | """Dictionary of default configuration names
"""
from . import config_1q_X
from . import config_1q_X_N1Z
from . import config_1q_X_N2Z
from . import config_1q_X_N3Z
from . import config_1q_X_N4Z
from . import config_1q_XY
from . import config_1q_XY_N1X_N5Z
from . import config_1q_XY_N1X_N6Z
from . import config_1q_XY_... | 32.363636 | 66 | 0.798689 |
from . import config_1q_X
from . import config_1q_X_N1Z
from . import config_1q_X_N2Z
from . import config_1q_X_N3Z
from . import config_1q_X_N4Z
from . import config_1q_XY
from . import config_1q_XY_N1X_N5Z
from . import config_1q_XY_N1X_N6Z
from . import config_1q_XY_N3X_N6Z
from . import config_2q_IX_XI_XX
from . i... | true | true |
f741f2216e1a6ac456655c660a8ea0b689e44936 | 908 | py | Python | services/ingest-file/ingestors/worker.py | adikadashrieq/aleph | acc03197c10e511a279ae3a05120187223f173d2 | [
"MIT"
] | 2 | 2020-02-01T00:53:53.000Z | 2021-10-10T04:18:20.000Z | services/ingest-file/ingestors/worker.py | adikadashrieq/aleph | acc03197c10e511a279ae3a05120187223f173d2 | [
"MIT"
] | null | null | null | services/ingest-file/ingestors/worker.py | adikadashrieq/aleph | acc03197c10e511a279ae3a05120187223f173d2 | [
"MIT"
] | null | null | null | import logging
from followthemoney import model
from servicelayer.worker import Worker
from ingestors.manager import Manager
log = logging.getLogger(__name__)
class IngestWorker(Worker):
"""A long running task runner that uses Redis as a task queue"""
def dispatch_next(self, task, entities):
next_s... | 31.310345 | 73 | 0.672907 | import logging
from followthemoney import model
from servicelayer.worker import Worker
from ingestors.manager import Manager
log = logging.getLogger(__name__)
class IngestWorker(Worker):
def dispatch_next(self, task, entities):
next_stage = task.context.get('next_stage')
if next_stage is None:
... | true | true |
f741f28e3b4ef5b851bc3a425ac74e4b1b217d29 | 4,875 | py | Python | plaso/parsers/winreg_plugins/usbstor.py | SamuelePilleri/plaso | f5687f12a89c7309797ccc285da78e855c120579 | [
"Apache-2.0"
] | null | null | null | plaso/parsers/winreg_plugins/usbstor.py | SamuelePilleri/plaso | f5687f12a89c7309797ccc285da78e855c120579 | [
"Apache-2.0"
] | null | null | null | plaso/parsers/winreg_plugins/usbstor.py | SamuelePilleri/plaso | f5687f12a89c7309797ccc285da78e855c120579 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""File containing a Windows Registry plugin to parse the USBStor key."""
from __future__ import unicode_literals
from plaso.containers import time_events
from plaso.containers import windows_events
from plaso.lib import definitions
from plaso.parsers import logger
from plaso.parsers import wi... | 39.634146 | 79 | 0.71159 |
from __future__ import unicode_literals
from plaso.containers import time_events
from plaso.containers import windows_events
from plaso.lib import definitions
from plaso.parsers import logger
from plaso.parsers import winreg
from plaso.parsers.winreg_plugins import interface
class USBStorPlugin(interface.WindowsRe... | true | true |
f741f2b2445d7fcb9539f67dac5907fab7893a01 | 4,469 | py | Python | conditional_batchnorm.py | tasbolat1/DGflow | 6ce22095a0d33f4da3c15f093aa365ba6cabbac9 | [
"MIT"
] | 15 | 2021-02-03T13:34:03.000Z | 2022-02-16T03:33:23.000Z | conditional_batchnorm.py | tasbolat1/DGflow | 6ce22095a0d33f4da3c15f093aa365ba6cabbac9 | [
"MIT"
] | null | null | null | conditional_batchnorm.py | tasbolat1/DGflow | 6ce22095a0d33f4da3c15f093aa365ba6cabbac9 | [
"MIT"
] | 4 | 2021-05-13T05:31:19.000Z | 2022-02-16T06:57:16.000Z | import torch.nn as nn
import torch.nn.functional as F
from torch.nn import init
class ConditionalBatchNorm2d(nn.BatchNorm2d):
"""Conditional Batch Normalization"""
def __init__(self, num_features, eps=1e-05, momentum=0.1,
affine=False, track_running_stats=True):
super(ConditionalBat... | 33.856061 | 76 | 0.623406 | import torch.nn as nn
import torch.nn.functional as F
from torch.nn import init
class ConditionalBatchNorm2d(nn.BatchNorm2d):
def __init__(self, num_features, eps=1e-05, momentum=0.1,
affine=False, track_running_stats=True):
super(ConditionalBatchNorm2d, self).__init__(
num_... | true | true |
f741f47021d1439ce989ce8cd366e2ed7c11cc45 | 8,154 | py | Python | tests/ut/python/privacy/diff_privacy/test_monitor.py | hboshnak/mindarmour | 0609a4eaea875a84667bed279add9305752880cc | [
"Apache-2.0"
] | 139 | 2020-03-28T02:37:07.000Z | 2022-03-24T15:35:39.000Z | tests/ut/python/privacy/diff_privacy/test_monitor.py | hboshnak/mindarmour | 0609a4eaea875a84667bed279add9305752880cc | [
"Apache-2.0"
] | 2 | 2020-04-02T09:50:21.000Z | 2020-05-09T06:52:57.000Z | tests/ut/python/privacy/diff_privacy/test_monitor.py | hboshnak/mindarmour | 0609a4eaea875a84667bed279add9305752880cc | [
"Apache-2.0"
] | 12 | 2020-03-28T02:52:42.000Z | 2021-07-15T08:05:06.000Z | # Copyright 2019 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... | 39.201923 | 78 | 0.641894 |
import pytest
import numpy as np
import mindspore.nn as nn
import mindspore.dataset as ds
from mindspore.train import Model
import mindspore.context as context
from mindarmour.privacy.diff_privacy import PrivacyMonitorFactory
from mindarmour.utils.logger import LogUtil
from tests.ut.python.utils.mock_ne... | true | true |
f741f4da27d6d75ec64b5ca171f1410d843eb1c6 | 5,498 | py | Python | sgkit/model.py | timothymillar/sgkit | a3a5e961b6b21ff7de235075955c0f797ad5027c | [
"Apache-2.0"
] | null | null | null | sgkit/model.py | timothymillar/sgkit | a3a5e961b6b21ff7de235075955c0f797ad5027c | [
"Apache-2.0"
] | 2 | 2021-05-16T16:09:22.000Z | 2021-06-15T21:03:56.000Z | sgkit/model.py | timothymillar/sgkit | a3a5e961b6b21ff7de235075955c0f797ad5027c | [
"Apache-2.0"
] | 1 | 2021-05-15T05:01:41.000Z | 2021-05-15T05:01:41.000Z | from typing import Any, Dict, Hashable, List, Optional
import numpy as np
import xarray as xr
from .typing import ArrayLike
from .utils import create_dataset
DIM_VARIANT = "variants"
DIM_SAMPLE = "samples"
DIM_PLOIDY = "ploidy"
DIM_ALLELE = "alleles"
DIM_GENOTYPE = "genotypes"
def create_genotype_call_dataset(
... | 34.149068 | 91 | 0.655875 | from typing import Any, Dict, Hashable, List, Optional
import numpy as np
import xarray as xr
from .typing import ArrayLike
from .utils import create_dataset
DIM_VARIANT = "variants"
DIM_SAMPLE = "samples"
DIM_PLOIDY = "ploidy"
DIM_ALLELE = "alleles"
DIM_GENOTYPE = "genotypes"
def create_genotype_call_dataset(
... | true | true |
f741f6d898ce96f476634486d4ba2e6726e7d7f1 | 202 | py | Python | exercises/exe11 - 20/exe018.py | thomas-rohde/Classes-Python | f862995510b7aabf68bc14aecf815f597034d8a1 | [
"MIT"
] | null | null | null | exercises/exe11 - 20/exe018.py | thomas-rohde/Classes-Python | f862995510b7aabf68bc14aecf815f597034d8a1 | [
"MIT"
] | null | null | null | exercises/exe11 - 20/exe018.py | thomas-rohde/Classes-Python | f862995510b7aabf68bc14aecf815f597034d8a1 | [
"MIT"
] | null | null | null | from random import shuffle
n0 = input('1ª Aluna: ')
n1 = input('2ª Aluna: ')
n2 = input('3ª Aluna: ')
n3 = input('4ª Aluna: ')
l = [n0, n1, n2, n3]
shuffle(l)
print('A ordem dos alunos é {}'.format(l)) | 22.444444 | 42 | 0.613861 | from random import shuffle
n0 = input('1ª Aluna: ')
n1 = input('2ª Aluna: ')
n2 = input('3ª Aluna: ')
n3 = input('4ª Aluna: ')
l = [n0, n1, n2, n3]
shuffle(l)
print('A ordem dos alunos é {}'.format(l)) | true | true |
f741f6fdbc9a72107a6298765dae8fdb0e800934 | 160 | py | Python | 11-Iterators/iterators.py | MrNiebieski/boost-python-test | a0330a04c241575d6700a6b1d3f18a0567055afe | [
"BSL-1.0"
] | null | null | null | 11-Iterators/iterators.py | MrNiebieski/boost-python-test | a0330a04c241575d6700a6b1d3f18a0567055afe | [
"BSL-1.0"
] | null | null | null | 11-Iterators/iterators.py | MrNiebieski/boost-python-test | a0330a04c241575d6700a6b1d3f18a0567055afe | [
"BSL-1.0"
] | null | null | null | #!/usr/bin/env python
from sys import stdout
from iterators import Example
e = Example()
e.add("a")
e.add("b")
e.add("c")
print [ s for s in e.strings() ]
| 11.428571 | 32 | 0.64375 |
from sys import stdout
from iterators import Example
e = Example()
e.add("a")
e.add("b")
e.add("c")
print [ s for s in e.strings() ]
| false | true |
f741f75312b240700c8e6953eef7f268cdf1d5f1 | 1,092 | py | Python | setup.py | SimonBiggs/pytest-pylint | 3e0bbfae6e0c62f8755336e745aecf23907eee30 | [
"MIT"
] | null | null | null | setup.py | SimonBiggs/pytest-pylint | 3e0bbfae6e0c62f8755336e745aecf23907eee30 | [
"MIT"
] | null | null | null | setup.py | SimonBiggs/pytest-pylint | 3e0bbfae6e0c62f8755336e745aecf23907eee30 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
pytest-pylint
=============
Plugin for py.test for doing pylint tests
"""
from setuptools import setup
setup(
name='pytest-pylint',
description='pytest plugin to check source code with pylint',
long_description=open("README.rst").read(),
license='MIT',
version='0.18.0'... | 30.333333 | 69 | 0.6163 |
from setuptools import setup
setup(
name='pytest-pylint',
description='pytest plugin to check source code with pylint',
long_description=open("README.rst").read(),
license='MIT',
version='0.18.0',
author='Carson Gee',
author_email='x@carsongee.com',
url='https://github.com/carsongee/p... | true | true |
f741f878ba7b29881c62ce244081400c4214c0c9 | 6,345 | py | Python | options/train_options.py | snakch/pixel2style2pixel | 63e9c397daf7d4e81dc963a14231990b510ec1a8 | [
"Apache-2.0",
"BSD-2-Clause",
"MIT"
] | null | null | null | options/train_options.py | snakch/pixel2style2pixel | 63e9c397daf7d4e81dc963a14231990b510ec1a8 | [
"Apache-2.0",
"BSD-2-Clause",
"MIT"
] | null | null | null | options/train_options.py | snakch/pixel2style2pixel | 63e9c397daf7d4e81dc963a14231990b510ec1a8 | [
"Apache-2.0",
"BSD-2-Clause",
"MIT"
] | null | null | null | from argparse import ArgumentParser
from configs.paths_config import model_paths
from dataclasses import dataclass
@dataclass
class TrainOptionsDataClass:
exp_dir: str
dataset_type: str = "ffhq_encode"
encoder_type: str = "GradualStyleEncoder"
input_nc: int = 3
label_nc: int = 0
batch_size: ... | 27.828947 | 88 | 0.534121 | from argparse import ArgumentParser
from configs.paths_config import model_paths
from dataclasses import dataclass
@dataclass
class TrainOptionsDataClass:
exp_dir: str
dataset_type: str = "ffhq_encode"
encoder_type: str = "GradualStyleEncoder"
input_nc: int = 3
label_nc: int = 0
batch_size: ... | true | true |
f741f8f449b5fd7a651b9eda849d2a149c197fb7 | 10,902 | py | Python | pelix/remote/transport/jabsorb_rpc.py | svidoso/ipopo | 1d4b81207e67890dfccc8f562336c7104f194c17 | [
"Apache-2.0"
] | 65 | 2015-04-21T10:41:18.000Z | 2022-01-02T16:25:40.000Z | pelix/remote/transport/jabsorb_rpc.py | svidoso/ipopo | 1d4b81207e67890dfccc8f562336c7104f194c17 | [
"Apache-2.0"
] | 85 | 2015-01-20T14:23:52.000Z | 2022-02-19T17:08:46.000Z | pelix/remote/transport/jabsorb_rpc.py | svidoso/ipopo | 1d4b81207e67890dfccc8f562336c7104f194c17 | [
"Apache-2.0"
] | 32 | 2015-03-13T07:43:05.000Z | 2020-04-24T07:56:53.000Z | #!/usr/bin/env python
# -- Content-Encoding: UTF-8 --
"""
Pelix Remote Services: Java-compatible RPC, based on the Jabsorb library
:author: Thomas Calmant
:copyright: Copyright 2020, Thomas Calmant
:license: Apache License 2.0
:version: 1.0.1
..
Copyright 2020 Thomas Calmant
Licensed under the Apache Licens... | 28.917772 | 80 | 0.601724 |
import logging
from jsonrpclib.SimpleJSONRPCServer import (
SimpleJSONRPCDispatcher,
NoMulticallResult,
)
import jsonrpclib.jsonrpc as jsonrpclib
import pelix.misc.jabsorb as jabsorb
from pelix.ipopo.decorators import (
ComponentFactory,
Provides,
Validate,
Invalidate,
Requires,
... | true | true |
f741f90ccd0c3c53faa7f853a6af6c9ff13a28c4 | 5,504 | py | Python | nipy/io/tests/test_save.py | fperez/nipy | 559f17150bd9fa8ead4fd088b330d7cf7db7aa79 | [
"BSD-3-Clause"
] | 1 | 2015-05-07T16:53:33.000Z | 2015-05-07T16:53:33.000Z | nipy/io/tests/test_save.py | fperez/nipy | 559f17150bd9fa8ead4fd088b330d7cf7db7aa79 | [
"BSD-3-Clause"
] | null | null | null | nipy/io/tests/test_save.py | fperez/nipy | 559f17150bd9fa8ead4fd088b330d7cf7db7aa79 | [
"BSD-3-Clause"
] | null | null | null | # emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
import os
from tempfile import mkstemp
import numpy as np
from nipy.testing import assert_true, assert_false, assert_equal, \
assert_array_almost_equal, funcfile
from nipy.io.api import load_image, s... | 34.4 | 81 | 0.647892 |
import os
from tempfile import mkstemp
import numpy as np
from nipy.testing import assert_true, assert_false, assert_equal, \
assert_array_almost_equal, funcfile
from nipy.io.api import load_image, save_image
from nipy.core import api
class Tempfile():
file = None
tmpfile = Tempfile()
def setup():
f... | true | true |
f741f933b7c32df127e1e34c19e9249b48bd1f16 | 3,872 | py | Python | makewiki/settings.py | Rasenku/makewiki_v2 | 4a61c64824f26d5f595c57c240a1a5190991ad51 | [
"MIT"
] | null | null | null | makewiki/settings.py | Rasenku/makewiki_v2 | 4a61c64824f26d5f595c57c240a1a5190991ad51 | [
"MIT"
] | 6 | 2020-06-06T01:25:11.000Z | 2022-02-10T13:48:49.000Z | makewiki/settings.py | clenberger/makewiki-v2 | 3dffafb708e206bf93bcc5b9aa7881bbeae34bf9 | [
"MIT"
] | null | null | null | """
Django settings for makewiki project.
Generated by 'django-admin startproject' using Django 2.2.7.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.2/ref/settings/
"""
import os
... | 25.986577 | 96 | 0.694473 |
import os
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
SECRET_KEY = '1yct-t!2bnkgc7j59z+9cdd2k)@y+ftqor$!aya()3if^cnlo-'
DEBUG = True
ALLOWED_HOSTS = []
# Application definition
INSTALLED_APPS = [
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.content... | true | true |
f741f99fe4171390615ec825282a6401d178df1f | 6,131 | py | Python | congress/datasources/datasource_driver.py | aaronorosen/congress | 2f74410c93a4d761a6fb3d913ea6bec87fd3085c | [
"Apache-2.0"
] | 1 | 2016-02-10T00:59:31.000Z | 2016-02-10T00:59:31.000Z | congress/datasources/datasource_driver.py | aaronorosen/congress | 2f74410c93a4d761a6fb3d913ea6bec87fd3085c | [
"Apache-2.0"
] | null | null | null | congress/datasources/datasource_driver.py | aaronorosen/congress | 2f74410c93a4d761a6fb3d913ea6bec87fd3085c | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# Copyright (c) 2013 VMware, Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | 40.335526 | 79 | 0.596966 |
from congress.dse import deepsix
from congress.policy import compile
from congress.policy import runtime
class DataSourceDriver(deepsix.deepSix):
def __init__(self, name, keys, inbox=None, datapath=None,
poll_time=None, **creds):
if poll_time is None:
poll_time... | true | true |
f741f9a134a29cde4417d89a622f8515e0c9db99 | 2,842 | py | Python | actions.py | ratnasankeerthanreddy/Chatbot-for-Personal-assisatance | 6c584601af4c98a3bebedf7073e0ccf2ad8ecf76 | [
"MIT"
] | 1 | 2020-10-28T15:57:44.000Z | 2020-10-28T15:57:44.000Z | actions.py | ratnasankeerthanreddy/Chatbot-for-Personal-assisatance | 6c584601af4c98a3bebedf7073e0ccf2ad8ecf76 | [
"MIT"
] | null | null | null | actions.py | ratnasankeerthanreddy/Chatbot-for-Personal-assisatance | 6c584601af4c98a3bebedf7073e0ccf2ad8ecf76 | [
"MIT"
] | null | null | null | from typing import Any, Text, Dict, List
from rasa_sdk import Action, Tracker
from rasa_sdk.executor import CollectingDispatcher
from utils import convert_timestamp
from rasa_sdk.events import AllSlotsReset
import datetime
from datetime import timedelta, date
import dateutil.parser
import boto3
from boto3.dynamodb.cond... | 35.974684 | 363 | 0.678044 | from typing import Any, Text, Dict, List
from rasa_sdk import Action, Tracker
from rasa_sdk.executor import CollectingDispatcher
from utils import convert_timestamp
from rasa_sdk.events import AllSlotsReset
import datetime
from datetime import timedelta, date
import dateutil.parser
import boto3
from boto3.dynamodb.cond... | true | true |
f741fa7d58a67afe45aa04452ed154c7616067c2 | 62 | py | Python | pydlm/plot/__init__.py | dtolpin/pydlm | 0016876bf6357784b161ecaa4f0798c063c54785 | [
"BSD-3-Clause"
] | 423 | 2016-09-15T06:45:26.000Z | 2022-03-29T08:41:11.000Z | pydlm/plot/__init__.py | dtolpin/pydlm | 0016876bf6357784b161ecaa4f0798c063c54785 | [
"BSD-3-Clause"
] | 50 | 2016-09-14T19:45:49.000Z | 2021-07-26T17:04:10.000Z | pydlm/plot/__init__.py | dtolpin/pydlm | 0016876bf6357784b161ecaa4f0798c063c54785 | [
"BSD-3-Clause"
] | 99 | 2016-09-19T08:08:41.000Z | 2022-03-07T13:47:36.000Z | #__all__ = ['dlmPlot']
#import pydlm.plot.dlmPlot as dlmPlot
| 15.5 | 37 | 0.725806 | true | true | |
f741faa690e468c1dd98dd8707f711d392c92338 | 51,722 | py | Python | analytics.py | apoursh/caringWithoutSharing | cf9769242a116685fadafa7a4228711366b98eb4 | [
"MIT"
] | 1 | 2018-10-06T14:05:12.000Z | 2018-10-06T14:05:12.000Z | analytics.py | apoursh/caringWithoutSharing | cf9769242a116685fadafa7a4228711366b98eb4 | [
"MIT"
] | null | null | null | analytics.py | apoursh/caringWithoutSharing | cf9769242a116685fadafa7a4228711366b98eb4 | [
"MIT"
] | null | null | null | # Armin Pourshafeie
#TODO write a generator that takes the chromosome and spits out data. do the regression in parallel
#TODO documentation
# Running the gwas
import logging
import numpy as np
import gzip, h5py, os, re, gc, tqdm
from sklearn.linear_model import LogisticRegression
import statsmodels.formula.api as smf... | 35.596696 | 218 | 0.596613 |
import logging
import numpy as np
import gzip, h5py, os, re, gc, tqdm
from sklearn.linear_model import LogisticRegression
import statsmodels.formula.api as smf
from statsmodels.tools.tools import add_constant
from functools import partial
from pathos.multiprocessing import ProcessingPool as Pool
import sklearn.dec... | false | true |
f741fcb9270622ed9b472a24bccf703c5ec28a4c | 3,428 | py | Python | openbb_terminal/cryptocurrency/defi/smartstake_view.py | tehcoderer/GamestonkTerminal | 54a1b6f545a0016c576e9e00eef5c003d229dacf | [
"MIT"
] | null | null | null | openbb_terminal/cryptocurrency/defi/smartstake_view.py | tehcoderer/GamestonkTerminal | 54a1b6f545a0016c576e9e00eef5c003d229dacf | [
"MIT"
] | null | null | null | openbb_terminal/cryptocurrency/defi/smartstake_view.py | tehcoderer/GamestonkTerminal | 54a1b6f545a0016c576e9e00eef5c003d229dacf | [
"MIT"
] | null | null | null | """SentimentInvestor View"""
__docformat__ = "numpy"
import os
import logging
from typing import Optional, List
from matplotlib import pyplot as plt
from openbb_terminal.decorators import check_api_key
from openbb_terminal.cryptocurrency.defi import smartstake_model
from openbb_terminal.helper_funcs import (
exp... | 25.021898 | 84 | 0.636523 | __docformat__ = "numpy"
import os
import logging
from typing import Optional, List
from matplotlib import pyplot as plt
from openbb_terminal.decorators import check_api_key
from openbb_terminal.cryptocurrency.defi import smartstake_model
from openbb_terminal.helper_funcs import (
export_data,
plot_autoscale,... | true | true |
f741fcc5b078acea4fa5592a85dfa586ca84fade | 52 | py | Python | hardware/BME280/__init__.py | RechnioMateusz/weather_forecast | 5ae9c65336831042b74a77e05c163b7b65b90dcd | [
"MIT"
] | 1 | 2019-10-22T20:09:54.000Z | 2019-10-22T20:09:54.000Z | hardware/BME280/__init__.py | RechnioMateusz/weather_forecast | 5ae9c65336831042b74a77e05c163b7b65b90dcd | [
"MIT"
] | null | null | null | hardware/BME280/__init__.py | RechnioMateusz/weather_forecast | 5ae9c65336831042b74a77e05c163b7b65b90dcd | [
"MIT"
] | null | null | null | from .bme280_handler import BME280, BME280Exception
| 26 | 51 | 0.865385 | from .bme280_handler import BME280, BME280Exception
| true | true |
f741fd921827a5c74e52bc10c9dc1f178a242130 | 1,085 | py | Python | airflow/dataminer/dataminer.py | ysfactory/wordcloud | c435888296108e5f678372f40ee321f025d05289 | [
"Beerware"
] | null | null | null | airflow/dataminer/dataminer.py | ysfactory/wordcloud | c435888296108e5f678372f40ee321f025d05289 | [
"Beerware"
] | null | null | null | airflow/dataminer/dataminer.py | ysfactory/wordcloud | c435888296108e5f678372f40ee321f025d05289 | [
"Beerware"
] | null | null | null | from krwordrank.word import KRWordRank
import krwordrank
def wordrank(textdir: str):
def get_texts_scores(fname: str):
with open(fname, encoding='utf-8') as f:
docs = [doc.lower().replace('\n', '').split('\t') for doc in f]
docs = [doc for doc in docs if len(doc) == 2]
... | 28.552632 | 77 | 0.587097 | from krwordrank.word import KRWordRank
import krwordrank
def wordrank(textdir: str):
def get_texts_scores(fname: str):
with open(fname, encoding='utf-8') as f:
docs = [doc.lower().replace('\n', '').split('\t') for doc in f]
docs = [doc for doc in docs if len(doc) == 2]
... | false | true |
f741fe8e57074ae189bab276e1b0899135878334 | 595 | py | Python | pynsgp/Selection/Selection.py | marcovirgolin/pyNSGP | 4a9634161012d6ab39ce3d304dba943b6f7d9b29 | [
"MIT"
] | 19 | 2020-05-26T05:48:51.000Z | 2022-01-01T13:32:34.000Z | pynsgp/Selection/Selection.py | marcovirgolin/pyNSGP | 4a9634161012d6ab39ce3d304dba943b6f7d9b29 | [
"MIT"
] | 1 | 2021-12-06T06:41:31.000Z | 2021-12-06T16:19:46.000Z | pynsgp/Selection/Selection.py | marcovirgolin/pyNSGP | 4a9634161012d6ab39ce3d304dba943b6f7d9b29 | [
"MIT"
] | 3 | 2021-01-18T13:37:42.000Z | 2021-09-26T08:19:15.000Z | import numpy as np
from copy import deepcopy
from numpy.random import randint
def TournamentSelect( population, how_many_to_select, tournament_size=4 ):
pop_size = len(population)
selection = []
while len(selection) < how_many_to_select:
best = population[randint(pop_size)]
for i in range(tournament_size - 1)... | 29.75 | 128 | 0.764706 | import numpy as np
from copy import deepcopy
from numpy.random import randint
def TournamentSelect( population, how_many_to_select, tournament_size=4 ):
pop_size = len(population)
selection = []
while len(selection) < how_many_to_select:
best = population[randint(pop_size)]
for i in range(tournament_size - 1)... | true | true |
f741fe92784d071e7aaeb9223f6d21bca2014920 | 1,265 | py | Python | camera_plugins/scripts/camera_plugins_node.py | liangzhao123/topic_ws | ef7aba11b975eab5f657101ed696b49ec94b5f86 | [
"Apache-2.0"
] | null | null | null | camera_plugins/scripts/camera_plugins_node.py | liangzhao123/topic_ws | ef7aba11b975eab5f657101ed696b49ec94b5f86 | [
"Apache-2.0"
] | null | null | null | camera_plugins/scripts/camera_plugins_node.py | liangzhao123/topic_ws | ef7aba11b975eab5f657101ed696b49ec94b5f86 | [
"Apache-2.0"
] | 1 | 2021-03-27T09:54:49.000Z | 2021-03-27T09:54:49.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import print_function
import rospy
from sensor_msgs.msg import Image
from cv_bridge import CvBridge, CvBridgeError
import ros_numpy
import cv2
class image_listenner:
def __init__(self):
self.bridge = CvBridge()
self.image_sub = ros... | 29.418605 | 103 | 0.666403 |
from __future__ import print_function
import rospy
from sensor_msgs.msg import Image
from cv_bridge import CvBridge, CvBridgeError
import ros_numpy
import cv2
class image_listenner:
def __init__(self):
self.bridge = CvBridge()
self.image_sub = rospy.Subscriber("/pylon_camera_node/image_raw"... | true | true |
f741fedf5017ea3ed61b5b1b6ec17664102991d5 | 1,760 | py | Python | sktime/classification/feature_based/tests/test_fresh_prince.py | Aparna-Sakshi/sktime | 419d347f062320290fb65e4afec72b82179e63bf | [
"BSD-3-Clause"
] | 1 | 2021-09-08T14:24:52.000Z | 2021-09-08T14:24:52.000Z | sktime/classification/feature_based/tests/test_fresh_prince.py | Aparna-Sakshi/sktime | 419d347f062320290fb65e4afec72b82179e63bf | [
"BSD-3-Clause"
] | null | null | null | sktime/classification/feature_based/tests/test_fresh_prince.py | Aparna-Sakshi/sktime | 419d347f062320290fb65e4afec72b82179e63bf | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""FreshPRINCE test code."""
import numpy as np
from numpy import testing
from sklearn.metrics import accuracy_score
from sktime.classification.feature_based import FreshPRINCE
from sktime.datasets import load_unit_test
def test_fresh_prince_on_unit_test_data():
"""Test of FreshPRINCE on ... | 21.728395 | 88 | 0.521023 |
import numpy as np
from numpy import testing
from sklearn.metrics import accuracy_score
from sktime.classification.feature_based import FreshPRINCE
from sktime.datasets import load_unit_test
def test_fresh_prince_on_unit_test_data():
X_train, y_train = load_unit_test(split="train")
X_test, y_test = loa... | true | true |
f742009710867138d6efdc26c0460c5522f38e3d | 6,107 | py | Python | EIDEGraphics/EIDEChannelsManager.py | Vicente-Francisco/EIDEGraphics | 8e61bf64f4644a2e80df00946271f8cba4b5e65e | [
"Unlicense"
] | 2 | 2022-02-09T08:06:13.000Z | 2022-03-18T07:30:19.000Z | EIDEGraphics/EIDEChannelsManager.py | Vicente-Francisco/EIDEGraphics | 8e61bf64f4644a2e80df00946271f8cba4b5e65e | [
"Unlicense"
] | null | null | null | EIDEGraphics/EIDEChannelsManager.py | Vicente-Francisco/EIDEGraphics | 8e61bf64f4644a2e80df00946271f8cba4b5e65e | [
"Unlicense"
] | null | null | null | # -*- coding: utf-8 -*-
#############################################################################
# #
# EIDEChannesManager #
# ... | 31.642487 | 79 | 0.502374 | true | true | |
f742011c788550ea25a25318b5b9b72e890832df | 24,459 | py | Python | pysnmp/CISCO-ENTITY-EXT-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 11 | 2021-02-02T16:27:16.000Z | 2021-08-31T06:22:49.000Z | pysnmp/CISCO-ENTITY-EXT-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 75 | 2021-02-24T17:30:31.000Z | 2021-12-08T00:01:18.000Z | pysnmp/CISCO-ENTITY-EXT-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module CISCO-ENTITY-EXT-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/CISCO-ENTITY-EXT-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 17:39:41 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (defau... | 132.210811 | 3,507 | 0.766507 |
ObjectIdentifier, Integer, OctetString = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "Integer", "OctetString")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ValueRangeConstraint, SingleValueConstraint, ValueSizeConstraint, ConstraintsUnion, ConstraintsIntersection = mibBuild... | true | true |
f74201a94d7a358f63b2df1b4eea26ca14b09d78 | 444 | py | Python | monitoring/admin.py | TyBeeProject/TyBeeWeb | d4d850000a95866272c4ba3e998f753e0cf8a6a3 | [
"MIT"
] | 2 | 2016-10-31T10:17:45.000Z | 2017-04-03T09:30:07.000Z | monitoring/admin.py | TyBeeProject/TyBeeWeb | d4d850000a95866272c4ba3e998f753e0cf8a6a3 | [
"MIT"
] | null | null | null | monitoring/admin.py | TyBeeProject/TyBeeWeb | d4d850000a95866272c4ba3e998f753e0cf8a6a3 | [
"MIT"
] | null | null | null | # coding: utf-8
from django.contrib import admin
from .models import Hive, Captor, Data
# Possibilité ajout capteur :
# ajoute dans la bdd une table pour le nouveau capteur, ainsi que l'identifiant qui devra être utilisé pour parser le flux de la ruche
#
admin.site.register(Hive)
admin.site.register(Captor)
admin.si... | 34.153846 | 137 | 0.77027 |
from django.contrib import admin
from .models import Hive, Captor, Data
#
admin.site.register(Hive)
admin.site.register(Captor)
admin.site.register(Data)
# Possibilité ajout ruche :
# ajoute une adresse ip/ un port pour la ruche nouvelle ruche à contacter
| true | true |
f74201e05bdced9050e1207f67c164610553e550 | 297 | py | Python | py4e/course3/parse_xml.py | tofritz/ExampleWork | 6779cce3148f1595fd062e4941aa2697c0a8248d | [
"MIT"
] | null | null | null | py4e/course3/parse_xml.py | tofritz/ExampleWork | 6779cce3148f1595fd062e4941aa2697c0a8248d | [
"MIT"
] | 8 | 2020-02-05T00:44:39.000Z | 2020-02-18T23:11:16.000Z | py4e/course3/parse_xml.py | tofritz/ExampleWork | 6779cce3148f1595fd062e4941aa2697c0a8248d | [
"MIT"
] | null | null | null | import urllib.request, urllib.parse, urllib.error
import xml.etree.ElementTree as ET
url = input('Enter XML URL: ')
data = urllib.request.urlopen(url).read()
tree = ET.fromstring(data)
counts = tree.findall('.//count')
total = 0
for count in counts:
total += int(count.text)
print(total)
| 18.5625 | 49 | 0.710438 | import urllib.request, urllib.parse, urllib.error
import xml.etree.ElementTree as ET
url = input('Enter XML URL: ')
data = urllib.request.urlopen(url).read()
tree = ET.fromstring(data)
counts = tree.findall('.//count')
total = 0
for count in counts:
total += int(count.text)
print(total)
| true | true |
f74203d05330bca2ca8d7d2e1e8d357166a2d202 | 3,278 | py | Python | venv/Lib/site-packages/astroid/transforms.py | AnxhelaMehmetaj/is219_flask | 1e88579f14a96c9826e9452b3c7f8e6477577ef7 | [
"BSD-3-Clause"
] | null | null | null | venv/Lib/site-packages/astroid/transforms.py | AnxhelaMehmetaj/is219_flask | 1e88579f14a96c9826e9452b3c7f8e6477577ef7 | [
"BSD-3-Clause"
] | null | null | null | venv/Lib/site-packages/astroid/transforms.py | AnxhelaMehmetaj/is219_flask | 1e88579f14a96c9826e9452b3c7f8e6477577ef7 | [
"BSD-3-Clause"
] | null | null | null | # Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
# For details: https://github.com/PyCQA/astroid/blob/main/LICENSE
# Copyright (c) https://github.com/PyCQA/astroid/blob/main/CONTRIBUTORS.txt
import collections
from functools import lru_cache
from astroid.context import _invalidate... | 36.831461 | 85 | 0.638499 |
import collections
from functools import lru_cache
from astroid.context import _invalidate_cache
class TransformVisitor:
TRANSFORM_MAX_CACHE_SIZE = 10000
def __init__(self):
self.transforms = collections.defaultdict(list)
@lru_cache(maxsize=TRANSFORM_MAX_CACHE_SIZE)
def _transform(self... | true | true |
f7420637d661263f0ca2012d29afbb8266ce8d61 | 7,219 | py | Python | ietf/meeting/admin.py | hassanakbar4/ietfdb | cabee059092ae776015410640226064331c293b7 | [
"BSD-3-Clause"
] | null | null | null | ietf/meeting/admin.py | hassanakbar4/ietfdb | cabee059092ae776015410640226064331c293b7 | [
"BSD-3-Clause"
] | 39 | 2021-05-31T21:10:14.000Z | 2022-03-07T16:07:14.000Z | ietf/meeting/admin.py | hassanakbar4/ietfdb | cabee059092ae776015410640226064331c293b7 | [
"BSD-3-Clause"
] | 2 | 2021-10-05T12:48:20.000Z | 2021-11-08T11:38:35.000Z | # Copyright The IETF Trust 2012-2020, All Rights Reserved
# -*- coding: utf-8 -*-
from django.contrib import admin
from ietf.meeting.models import (Meeting, Room, Session, TimeSlot, Constraint, Schedule,
SchedTimeSessAssignment, ResourceAssociation, FloorPlan, UrlResource,
SessionPresentation, ImportantDate,... | 35.387255 | 115 | 0.694556 |
from django.contrib import admin
from ietf.meeting.models import (Meeting, Room, Session, TimeSlot, Constraint, Schedule,
SchedTimeSessAssignment, ResourceAssociation, FloorPlan, UrlResource,
SessionPresentation, ImportantDate, SlideSubmission, SchedulingEvent, BusinessConstraint,
ProceedingsMaterial, ... | true | true |
f7420644022905c1b99d9fab7238d24a3a18144d | 14,142 | py | Python | Lib/site-packages/sqlalchemy/testing/exclusions.py | Carshy/blogApplication | a471cd8627510ebc2bd3ba213fe2dbe6e4eca60f | [
"bzip2-1.0.6"
] | 4 | 2020-06-06T02:29:28.000Z | 2021-07-22T17:06:40.000Z | Lib/site-packages/sqlalchemy/testing/exclusions.py | Carshy/blogApplication | a471cd8627510ebc2bd3ba213fe2dbe6e4eca60f | [
"bzip2-1.0.6"
] | 44 | 2020-07-21T10:40:23.000Z | 2020-08-03T17:34:21.000Z | Lib/site-packages/sqlalchemy/testing/exclusions.py | Carshy/blogApplication | a471cd8627510ebc2bd3ba213fe2dbe6e4eca60f | [
"bzip2-1.0.6"
] | 2 | 2020-01-16T06:35:46.000Z | 2020-01-16T06:48:06.000Z | # testing/exclusions.py
# Copyright (C) 2005-2019 the SQLAlchemy authors and contributors
# <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php
import contextlib
import operator
import re
from . import config
from .. imp... | 29.4625 | 79 | 0.583439 |
import contextlib
import operator
import re
from . import config
from .. import util
from ..util import decorator
from ..util.compat import inspect_getfullargspec
def skip_if(predicate, reason=None):
rule = compound()
pred = _as_predicate(predicate, reason)
rule.skips.add(pred)
return rule
... | true | true |
f74206e20ea65a2877cac5cb7dadcacfa8a19ff6 | 5,730 | py | Python | uncertainty_baselines/models/__init__.py | ranganathkrishnan/uncertainty-baselines | b9c6b870790034c1a2303246f887fd2cf53bff38 | [
"Apache-2.0"
] | 1 | 2022-03-03T15:35:12.000Z | 2022-03-03T15:35:12.000Z | uncertainty_baselines/models/__init__.py | ranganathkrishnan/uncertainty-baselines | b9c6b870790034c1a2303246f887fd2cf53bff38 | [
"Apache-2.0"
] | null | null | null | uncertainty_baselines/models/__init__.py | ranganathkrishnan/uncertainty-baselines | b9c6b870790034c1a2303246f887fd2cf53bff38 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2021 The Uncertainty Baselines 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 ap... | 54.056604 | 118 | 0.861606 |
from absl import logging
import tensorflow as tf
from uncertainty_baselines.models import efficientnet_utils
from uncertainty_baselines.models.criteo_mlp import criteo_mlp
from uncertainty_baselines.models.efficientnet import efficientnet
from uncertainty_baselines.models.efficientnet_batch_ensemble im... | true | true |
f7420b1caa664cf6764e3eacfd49e226c7bd722e | 1,060 | py | Python | Lib/site-packages/PyQt5/uic/port_v3/string_io.py | heylenz/python27 | bee49fa9d65b8ab7d591146a5b6cd47aeb41d940 | [
"bzip2-1.0.6",
"MIT"
] | null | null | null | Lib/site-packages/PyQt5/uic/port_v3/string_io.py | heylenz/python27 | bee49fa9d65b8ab7d591146a5b6cd47aeb41d940 | [
"bzip2-1.0.6",
"MIT"
] | null | null | null | Lib/site-packages/PyQt5/uic/port_v3/string_io.py | heylenz/python27 | bee49fa9d65b8ab7d591146a5b6cd47aeb41d940 | [
"bzip2-1.0.6",
"MIT"
] | null | null | null | #############################################################################
##
## Copyright (c) 2013 Riverbank Computing Limited <info@riverbankcomputing.com>
##
## This file is part of PyQt5.
##
## This file may be used under the terms of the GNU General Public License
## version 3.0 as published by the Free Softw... | 42.4 | 79 | 0.643396 | true | true | |
f7420ba4619ae917fc73259a2e194f196cd6f6b6 | 9,814 | py | Python | renjun/blockchain base.py | FYQ0919/Your_First_Decentralized_Application_Python | 21afb71a79c798c02a972eec6d54b4a17526358b | [
"MIT"
] | 2 | 2020-10-12T06:17:23.000Z | 2020-10-14T18:12:37.000Z | renjun/blockchain base.py | FYQ0919/Your_First_Decentralized_Application_Python | 21afb71a79c798c02a972eec6d54b4a17526358b | [
"MIT"
] | null | null | null | renjun/blockchain base.py | FYQ0919/Your_First_Decentralized_Application_Python | 21afb71a79c798c02a972eec6d54b4a17526358b | [
"MIT"
] | null | null | null | '''
Blockchain base prepared by Ren Jun in April 2019 with reference from ??.
Run blockchain base before running any of the simulation.
This code is to prepare one starting block of the blockchain, which is a passive block without any data,
and also, the function to add subsequent blocks to the blockchain by getting d... | 29.383234 | 176 | 0.599654 |
import hashlib
import json
from time import time
from urllib.parse import urlparse
from uuid import uuid4
import requests
from flask import Flask, jsonify, request
class Blockchain:
def __init__(self):
self.current_transactions = ['Start']
self.chain = []
self.nodes = set()
... | true | true |
f7420cb69d18526f656e68084c1e825a9cfb3c7a | 1,009 | py | Python | pong/resources/install_hy.py | kshithijiyer/pong | 0d58074855809577d094f5716edeee07ff6bab14 | [
"Apache-2.0"
] | 2 | 2016-01-15T18:07:57.000Z | 2016-02-04T09:11:11.000Z | pong/resources/install_hy.py | kshithijiyer/pong | 0d58074855809577d094f5716edeee07ff6bab14 | [
"Apache-2.0"
] | 24 | 2016-02-12T03:45:16.000Z | 2016-10-18T15:11:09.000Z | pong/resources/install_hy.py | kshithijiyer/pong | 0d58074855809577d094f5716edeee07ff6bab14 | [
"Apache-2.0"
] | 2 | 2016-02-24T20:56:43.000Z | 2020-01-27T07:23:05.000Z | from subprocess import Popen, STDOUT
import os
def clone_hy(dest):
owd = os.getcwd()
os.chdir(dest)
cmd = "git clone https://github.com/hylang/hy.git"
proc = Popen(cmd, stdout=STDOUT, stderr=STDOUT)
outp, _ = proc.communicate()
print outp
if proc.returncode != 0:
raise Exception("U... | 22.931818 | 81 | 0.576809 | from subprocess import Popen, STDOUT
import os
def clone_hy(dest):
owd = os.getcwd()
os.chdir(dest)
cmd = "git clone https://github.com/hylang/hy.git"
proc = Popen(cmd, stdout=STDOUT, stderr=STDOUT)
outp, _ = proc.communicate()
print outp
if proc.returncode != 0:
raise Exception("U... | false | true |
f7420d2da066af30e3adf4d249d2a4b8a0053933 | 457 | py | Python | join.py | carderne/msoa-income | 2cfaef3e1942ba6f97b963cbc02472a154fae6d6 | [
"MIT"
] | null | null | null | join.py | carderne/msoa-income | 2cfaef3e1942ba6f97b963cbc02472a154fae6d6 | [
"MIT"
] | null | null | null | join.py | carderne/msoa-income | 2cfaef3e1942ba6f97b963cbc02472a154fae6d6 | [
"MIT"
] | null | null | null | import sys
import pandas as pd
import geopandas as gpd
def main(csv, gpkg, out):
df = pd.read_csv(csv).assign(
Income=lambda x: pd.to_numeric(x.Income.str.replace(",", ""))
)
gpd.read_file(gpkg).get(["MSOA01CD", "geometry"]).merge(
df, how="inner", left_on="MSOA01CD", right_on="MSOA"
... | 20.772727 | 69 | 0.608315 | import sys
import pandas as pd
import geopandas as gpd
def main(csv, gpkg, out):
df = pd.read_csv(csv).assign(
Income=lambda x: pd.to_numeric(x.Income.str.replace(",", ""))
)
gpd.read_file(gpkg).get(["MSOA01CD", "geometry"]).merge(
df, how="inner", left_on="MSOA01CD", right_on="MSOA"
... | true | true |
f7420d6b6cc229c4605f7a33be752915acbbb2b6 | 1,929 | py | Python | Source/lstm.py | SamanKhamesian/Human-Activity-Recognition-Time-Series-Classification | 1b1d8474997ddf3c0f22791acecdfd823b9de5fd | [
"Apache-2.0"
] | 6 | 2020-11-30T03:03:58.000Z | 2021-08-10T19:29:38.000Z | Source/lstm.py | SamanKhamesian/Human-Activity-Recognition-Time-Series-Classification | 1b1d8474997ddf3c0f22791acecdfd823b9de5fd | [
"Apache-2.0"
] | 3 | 2020-11-30T03:18:07.000Z | 2021-07-08T07:41:18.000Z | Source/lstm.py | SamanKhamesian/Human-Activity-Recognition-Time-Series-Classification | 1b1d8474997ddf3c0f22791acecdfd823b9de5fd | [
"Apache-2.0"
] | 2 | 2021-04-14T13:50:50.000Z | 2021-07-18T22:29:14.000Z | import os
import tensorflow as tf
from keras.layers import LSTM, Dense, Dropout
from keras.models import Sequential
from Source.config import Model
from Source.driver import Driver
tf.logging.set_verbosity(tf.logging.ERROR)
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
def run():
dataset = Driver()
n_time_step... | 35.722222 | 101 | 0.715397 | import os
import tensorflow as tf
from keras.layers import LSTM, Dense, Dropout
from keras.models import Sequential
from Source.config import Model
from Source.driver import Driver
tf.logging.set_verbosity(tf.logging.ERROR)
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
def run():
dataset = Driver()
n_time_step... | true | true |
f7420d8378ce975687fa683c35fcd94a511ec490 | 357 | py | Python | backend/app/database/database.py | Michal-Miko/competitive-teams | 6bb55542e06121f413248ddf0b75285296b610bb | [
"MIT"
] | null | null | null | backend/app/database/database.py | Michal-Miko/competitive-teams | 6bb55542e06121f413248ddf0b75285296b610bb | [
"MIT"
] | null | null | null | backend/app/database/database.py | Michal-Miko/competitive-teams | 6bb55542e06121f413248ddf0b75285296b610bb | [
"MIT"
] | null | null | null | from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
from os import getenv
SQLALCHEMY_DATABASE_URL = getenv("DATABASE_URL")
engine = create_engine(SQLALCHEMY_DATABASE_URL)
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bin... | 29.75 | 75 | 0.845938 | from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
from os import getenv
SQLALCHEMY_DATABASE_URL = getenv("DATABASE_URL")
engine = create_engine(SQLALCHEMY_DATABASE_URL)
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bin... | true | true |
f7420dbbd758df6ab201185302ea91228a0259ca | 2,343 | py | Python | Edges/workers/Worker.py | faramarzQ/Cloud_assisted_resource_allocation_using_machine_learning | 1aa8d8e63dcd6053f69e17bf90595a0aa2a7d317 | [
"Apache-2.0"
] | 1 | 2022-03-14T01:44:28.000Z | 2022-03-14T01:44:28.000Z | Edges/workers/Worker.py | faramarzQ/Cloud_assisted_resource_allocation_using_machine_learning | 1aa8d8e63dcd6053f69e17bf90595a0aa2a7d317 | [
"Apache-2.0"
] | null | null | null | Edges/workers/Worker.py | faramarzQ/Cloud_assisted_resource_allocation_using_machine_learning | 1aa8d8e63dcd6053f69e17bf90595a0aa2a7d317 | [
"Apache-2.0"
] | 1 | 2021-08-04T08:30:58.000Z | 2021-08-04T08:30:58.000Z |
class Worker():
def __init__(self):
""" initialize Worker class
"""
self.cloudlets = []
self.bandwidth = {}
self.mips = int
self.position = int
self.timer = 0
def attachCloudlet(self, cloudlet):
""" attach cloudlet to worker
Args:
... | 30.038462 | 85 | 0.51003 |
class Worker():
def __init__(self):
self.cloudlets = []
self.bandwidth = {}
self.mips = int
self.position = int
self.timer = 0
def attachCloudlet(self, cloudlet):
self.cloudlets.append(cloudlet)
def run(self):
for cloudlet in self.cloudlets:
... | true | true |
f7420ebbec6d43b0e5c6c988489095100cbfe534 | 7,365 | py | Python | test/e2e/live_cluster/test_info.py | jfwm2/aerospike-admin | 3ce721bbd249eca73046345620941a6aef325589 | [
"Apache-2.0"
] | null | null | null | test/e2e/live_cluster/test_info.py | jfwm2/aerospike-admin | 3ce721bbd249eca73046345620941a6aef325589 | [
"Apache-2.0"
] | null | null | null | test/e2e/live_cluster/test_info.py | jfwm2/aerospike-admin | 3ce721bbd249eca73046345620941a6aef325589 | [
"Apache-2.0"
] | null | null | null | # Copyright 2013-2021 Aerospike, 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 or agreed to in writ... | 30.6875 | 105 | 0.57461 |
import unittest
from lib.view.sheet import set_style_json
import lib.live_cluster.live_cluster_root_controller as controller
import lib.utils.util as util
from test.e2e import util as test_util
set_style_json()
class TestInfo(unittest.TestCase):
rc = None
output_list = list()
service_info... | true | true |
f7421039b0e769a44cd5256eb710be07db933fc9 | 4,850 | py | Python | handlers/card_handler.py | HearthSim/HearthBot | 4fc4fbf24f816c7fc2075849b2ad747965fa4204 | [
"MIT"
] | 8 | 2018-04-26T13:01:24.000Z | 2021-04-04T02:34:11.000Z | handlers/card_handler.py | HearthSim/HearthBot | 4fc4fbf24f816c7fc2075849b2ad747965fa4204 | [
"MIT"
] | 4 | 2017-08-26T13:01:15.000Z | 2019-09-14T21:58:44.000Z | handlers/card_handler.py | HearthSim/HearthBot | 4fc4fbf24f816c7fc2075849b2ad747965fa4204 | [
"MIT"
] | 11 | 2017-04-18T17:52:22.000Z | 2021-05-08T19:10:46.000Z | import re
from hearthstone import cardxml
from hearthstone.cardxml import CardXML
from hearthstone.enums import CardType, GameTag, Race, Rarity
ERR_LANG_NOT_FOUND = "Language not found. Supported language keys are e.g. `enUS` or `deDE`"
db, _ = cardxml.load()
def loc_name(self, locale):
return self.strings[Game... | 28.869048 | 94 | 0.633402 | import re
from hearthstone import cardxml
from hearthstone.cardxml import CardXML
from hearthstone.enums import CardType, GameTag, Race, Rarity
ERR_LANG_NOT_FOUND = "Language not found. Supported language keys are e.g. `enUS` or `deDE`"
db, _ = cardxml.load()
def loc_name(self, locale):
return self.strings[Game... | true | true |
f7421103ba2cf980561213214889bf7c562a5fbd | 1,625 | py | Python | app/core/tests/tests_admin.py | pnsn/squac_api | 7b1741cd32dbc32972f75ac53958468fdf7d04ee | [
"MIT"
] | 6 | 2019-11-07T09:32:43.000Z | 2021-09-02T22:37:14.000Z | app/core/tests/tests_admin.py | pnsn/squacapi | e330a925aff38937656983841e495ba3824c11e1 | [
"MIT"
] | 196 | 2019-10-04T17:03:36.000Z | 2022-03-31T17:54:59.000Z | app/core/tests/tests_admin.py | pnsn/squac_api | 7b1741cd32dbc32972f75ac53958468fdf7d04ee | [
"MIT"
] | null | null | null | from django.test import TestCase
from django.contrib.auth import get_user_model
from django.urls import reverse
from django.test import Client
from organization.models import Organization
class AdminSiteTests(TestCase):
def setUp(self):
admin_email = 'admin@pnsn.org'
admin_pass = 'password123'
... | 33.163265 | 68 | 0.648 | from django.test import TestCase
from django.contrib.auth import get_user_model
from django.urls import reverse
from django.test import Client
from organization.models import Organization
class AdminSiteTests(TestCase):
def setUp(self):
admin_email = 'admin@pnsn.org'
admin_pass = 'password123'
... | true | true |
f7421155086f679794f76826296e13e2251dbf74 | 7,022 | py | Python | src/model/SLIM/SSLIM_BPR.py | riccardopoiani/recsys_2019 | 47a44d2f7d85e76e31dacf4ba2e69721d010b6b8 | [
"MIT"
] | 2 | 2020-10-01T11:08:32.000Z | 2020-11-25T11:05:37.000Z | src/model/SLIM/SSLIM_BPR.py | riccardopoiani/recsys_2019 | 47a44d2f7d85e76e31dacf4ba2e69721d010b6b8 | [
"MIT"
] | null | null | null | src/model/SLIM/SSLIM_BPR.py | riccardopoiani/recsys_2019 | 47a44d2f7d85e76e31dacf4ba2e69721d010b6b8 | [
"MIT"
] | 1 | 2020-10-01T11:08:33.000Z | 2020-10-01T11:08:33.000Z | from course_lib.Base.Recommender_utils import check_matrix
from course_lib.Base.BaseSimilarityMatrixRecommender import BaseItemSimilarityMatrixRecommender
from course_lib.Base.Recommender_utils import similarityMatrixTopK
from course_lib.Base.Incremental_Training_Early_Stopping import Incremental_Training_Early_Stoppin... | 42.301205 | 152 | 0.608659 | from course_lib.Base.Recommender_utils import check_matrix
from course_lib.Base.BaseSimilarityMatrixRecommender import BaseItemSimilarityMatrixRecommender
from course_lib.Base.Recommender_utils import similarityMatrixTopK
from course_lib.Base.Incremental_Training_Early_Stopping import Incremental_Training_Early_Stoppin... | true | true |
f74211b461aa22de6a02638850beb03044fa3455 | 1,134 | py | Python | axelrod/tests/strategies/test_negation.py | nandhinianandj/Axelrod | 379b907d64c51816a50abfd8480240276c893953 | [
"MIT"
] | 596 | 2015-03-30T17:34:14.000Z | 2022-03-21T19:32:38.000Z | axelrod/tests/strategies/test_negation.py | nandhinianandj/Axelrod | 379b907d64c51816a50abfd8480240276c893953 | [
"MIT"
] | 1,018 | 2015-03-30T14:57:33.000Z | 2022-03-14T14:57:48.000Z | axelrod/tests/strategies/test_negation.py | nandhinianandj/Axelrod | 379b907d64c51816a50abfd8480240276c893953 | [
"MIT"
] | 263 | 2015-03-31T10:26:28.000Z | 2022-03-29T09:26:02.000Z | """Tests for the Neg Strategy"""
import axelrod as axl
from .test_player import TestPlayer
C, D = axl.Action.C, axl.Action.D
class TestNegation(TestPlayer):
name = "Negation"
player = axl.Negation
expected_classifier = {
"memory_depth": 1,
"stochastic": True,
"makes_use_of": se... | 27 | 71 | 0.560847 |
import axelrod as axl
from .test_player import TestPlayer
C, D = axl.Action.C, axl.Action.D
class TestNegation(TestPlayer):
name = "Negation"
player = axl.Negation
expected_classifier = {
"memory_depth": 1,
"stochastic": True,
"makes_use_of": set(),
"long_run_time": Fal... | true | true |
f74212f2159b3a40a39e82599691a64e90f98877 | 2,917 | py | Python | python/arcade/02_trees.py | jwatson-CO-edu/nanoverse | 20ec7c5e641bad5e2e10534d5e9f0d6d189a297b | [
"MIT"
] | null | null | null | python/arcade/02_trees.py | jwatson-CO-edu/nanoverse | 20ec7c5e641bad5e2e10534d5e9f0d6d189a297b | [
"MIT"
] | null | null | null | python/arcade/02_trees.py | jwatson-CO-edu/nanoverse | 20ec7c5e641bad5e2e10534d5e9f0d6d189a297b | [
"MIT"
] | null | null | null | """
This is a sample program to show how to draw using the Python programming
language and the Arcade library.
"""
# Import the "arcade" library
import arcade
# Open up a window.
# From the "arcade" library, use a function called "open_window"
# Set the window title to "Drawing Example"
# Set the dimensions (width an... | 36.924051 | 88 | 0.693521 |
import arcade
arcade.open_window( 600, 600, "Drawing Example" )
arcade.set_background_color( arcade.csscolor.SKY_BLUE )
arcade.start_render()
arcade.draw_lrtb_rectangle_filled( 0, 599, 300, 0, arcade.csscolor.GREEN )
arcade.draw_rectangle_filled( 100, 320, 20, 60, arcade.csscolor.SIENNA )
arcade.draw... | true | true |
f74214f8616adf2de0b654e562f43b4add02138a | 411 | py | Python | OBB_Train_Station/wsgi.py | marcmelchor/OBB-Train-Station | 6371f2a27205f20289afd1842ad055106d732158 | [
"MIT"
] | null | null | null | OBB_Train_Station/wsgi.py | marcmelchor/OBB-Train-Station | 6371f2a27205f20289afd1842ad055106d732158 | [
"MIT"
] | 3 | 2019-12-04T23:14:40.000Z | 2021-03-01T19:02:22.000Z | OBB_Train_Station/wsgi.py | marcmelchor/OBB-Train-Station | 6371f2a27205f20289afd1842ad055106d732158 | [
"MIT"
] | null | null | null | """
WSGI config for OBB_Train_Station project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('DJ... | 24.176471 | 78 | 0.79562 |
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'OBB_Train_Station.settings')
application = get_wsgi_application()
| true | true |
f74214f9360641816d6d299d36ab80932bf127de | 1,890 | py | Python | essai polygon.py | PnMercantour/suivi_zh | 724609c4988ba85f47356490873a4ea8c092c95a | [
"MIT"
] | null | null | null | essai polygon.py | PnMercantour/suivi_zh | 724609c4988ba85f47356490873a4ea8c092c95a | [
"MIT"
] | null | null | null | essai polygon.py | PnMercantour/suivi_zh | 724609c4988ba85f47356490873a4ea8c092c95a | [
"MIT"
] | null | null | null | from logging import log
import dash
import dash_leaflet as dl
import dash_leaflet.express as dlx
from dash.dependencies import Input, Output
from dash_extensions.javascript import assign, arrow_function
import pandas as pd
import dash_html_components as html
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWL... | 33.157895 | 92 | 0.640741 | from logging import log
import dash
import dash_leaflet as dl
import dash_leaflet.express as dlx
from dash.dependencies import Input, Output
from dash_extensions.javascript import assign, arrow_function
import pandas as pd
import dash_html_components as html
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWL... | true | true |
f74215657f9662796c652bd155019ab043315fbc | 2,858 | py | Python | rclpy/test/test_serialization.py | RoboStack/rclpy | c67e43a69a1580eeac4a90767e24ceeea31a298e | [
"Apache-2.0"
] | 121 | 2015-11-19T19:46:09.000Z | 2022-03-17T16:36:52.000Z | rclpy/test/test_serialization.py | RoboStack/rclpy | c67e43a69a1580eeac4a90767e24ceeea31a298e | [
"Apache-2.0"
] | 759 | 2016-01-29T01:44:19.000Z | 2022-03-30T13:37:26.000Z | rclpy/test/test_serialization.py | RoboStack/rclpy | c67e43a69a1580eeac4a90767e24ceeea31a298e | [
"Apache-2.0"
] | 160 | 2016-01-12T16:56:21.000Z | 2022-03-22T23:20:35.000Z | # Copyright 2020 Open Source Robotics Foundation, 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... | 38.621622 | 87 | 0.771868 |
import pytest
from rclpy.serialization import deserialize_message
from rclpy.serialization import serialize_message
from test_msgs.message_fixtures import get_test_msg
from test_msgs.msg import Arrays
from test_msgs.msg import BasicTypes
from test_msgs.msg import BoundedSequences
from test_msgs.msg impo... | true | true |
f74216515895d7f79a72c0f8cd02e9603aa01918 | 15,184 | py | Python | lib/taurus/qt/qtgui/input/tauruscombobox.py | cpascual/taurus | 1786e741418f1d3ecf8f00243ec7ebe2493a3c99 | [
"CC-BY-3.0"
] | 1 | 2016-10-19T13:54:08.000Z | 2016-10-19T13:54:08.000Z | lib/taurus/qt/qtgui/input/tauruscombobox.py | cpascual/taurus | 1786e741418f1d3ecf8f00243ec7ebe2493a3c99 | [
"CC-BY-3.0"
] | 27 | 2016-05-25T08:56:58.000Z | 2019-01-21T09:18:08.000Z | lib/taurus/qt/qtgui/input/tauruscombobox.py | cpascual/taurus | 1786e741418f1d3ecf8f00243ec7ebe2493a3c99 | [
"CC-BY-3.0"
] | 8 | 2015-07-24T09:16:50.000Z | 2018-06-12T12:33:59.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#############################################################################
##
# This file is part of Taurus
##
# http://taurus-scada.org
##
# Copyright 2011 CELLS / ALBA Synchrotron, Bellaterra, Spain
##
# Taurus is free software: you can redistribute it and/or modify
#... | 37.771144 | 143 | 0.556902 |
stComboBox(Qt.QComboBox, TaurusBaseWidget):
def __init__(self, parent=None, designMode=False):
name = self.__class__.__name__
self.call__init__wo_kw(Qt.QComboBox, parent)
self.call__init__(TaurusBaseWidget, name)
self.insertEventFilter(eventfilters.IGNORE_CONFIG)
self.set... | true | true |
f742168122346151540395090d876f91489b704e | 5,206 | py | Python | sundial/price_model/parameter_tuning.py | UWSEDS-aut17/uwseds-group-maximize-savings-in-clean-energy | c485c5e1f5bea1135b013835d28227f858a68c4d | [
"MIT"
] | null | null | null | sundial/price_model/parameter_tuning.py | UWSEDS-aut17/uwseds-group-maximize-savings-in-clean-energy | c485c5e1f5bea1135b013835d28227f858a68c4d | [
"MIT"
] | 6 | 2017-11-15T21:51:02.000Z | 2017-11-16T05:07:45.000Z | sundial/price_model/parameter_tuning.py | UWSEDS-aut17/SunDial | c485c5e1f5bea1135b013835d28227f858a68c4d | [
"MIT"
] | 2 | 2019-05-09T22:23:13.000Z | 2019-07-10T01:53:18.000Z | import numpy as np
from matplotlib import pyplot as plt
import seaborn as sns
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn import linear_model
from sklearn import neighbors
from sklearn import svm
from sklearn.model_selection import GridSearchCV
from sundial.price_model.utils.fi... | 30.623529 | 79 | 0.670572 | import numpy as np
from matplotlib import pyplot as plt
import seaborn as sns
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn import linear_model
from sklearn import neighbors
from sklearn import svm
from sklearn.model_selection import GridSearchCV
from sundial.price_model.utils.fi... | true | true |
f74216e58d1ef59d52d2d994e4dd8311a98cf26f | 4,859 | py | Python | demo/work_pretty_trio.py | yosukefk/plotter | 16127ee7fc3105c717e92875ee3d61477bd41533 | [
"MIT"
] | null | null | null | demo/work_pretty_trio.py | yosukefk/plotter | 16127ee7fc3105c717e92875ee3d61477bd41533 | [
"MIT"
] | 6 | 2021-05-25T15:51:27.000Z | 2021-08-18T20:39:41.000Z | demo/work_pretty_trio.py | yosukefk/plotter | 16127ee7fc3105c717e92875ee3d61477bd41533 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import sys
plotterdir = '..'
sys.path.insert(0, plotterdir)
from plotter import calpost_reader
import plotter.plotter_multi as plotter_multi
from plotter.plotter_util import LambertConformalTCEQ
from plotter.plotter_background import BackgroundManager
import cartopy.crs as ccrs
import geopanda... | 28.086705 | 101 | 0.615147 |
import sys
plotterdir = '..'
sys.path.insert(0, plotterdir)
from plotter import calpost_reader
import plotter.plotter_multi as plotter_multi
from plotter.plotter_util import LambertConformalTCEQ
from plotter.plotter_background import BackgroundManager
import cartopy.crs as ccrs
import geopandas as gpd
import matplo... | true | true |
f74216f426dbc31123e0f8346e16ada73510a9f0 | 1,651 | py | Python | backend/src/photoImposer.py | jayeshjakkani/American-Football-Analytics-Application | 54609c0ea1b635425e4edad08f3414bcf3d05459 | [
"MIT"
] | null | null | null | backend/src/photoImposer.py | jayeshjakkani/American-Football-Analytics-Application | 54609c0ea1b635425e4edad08f3414bcf3d05459 | [
"MIT"
] | null | null | null | backend/src/photoImposer.py | jayeshjakkani/American-Football-Analytics-Application | 54609c0ea1b635425e4edad08f3414bcf3d05459 | [
"MIT"
] | 1 | 2020-10-26T20:52:44.000Z | 2020-10-26T20:52:44.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from photoCoordinates import photoCoordinates
from PIL import Image, ImageFont, ImageDraw
class photoImposer:
pc = photoCoordinates()
allCoordinates = pc.allCoordinates
all_images = {}
def __init__(self):
self.all_images['KICKOFF'] = "formation... | 40.268293 | 123 | 0.643852 |
from photoCoordinates import photoCoordinates
from PIL import Image, ImageFont, ImageDraw
class photoImposer:
pc = photoCoordinates()
allCoordinates = pc.allCoordinates
all_images = {}
def __init__(self):
self.all_images['KICKOFF'] = "formationImages/kickoff_coverage.png"
self.all... | true | true |
f742178115791ddefe5a0f1456b4cc9f0c4ef4bc | 4,078 | py | Python | syft/federated/federated_client.py | theoptips/PySyft | 4b68c3c6fbe0c18cdf87dfe6ddc3c2071a71f1cc | [
"Apache-2.0"
] | 1 | 2019-08-27T21:48:50.000Z | 2019-08-27T21:48:50.000Z | syft/federated/federated_client.py | theoptips/PySyft | 4b68c3c6fbe0c18cdf87dfe6ddc3c2071a71f1cc | [
"Apache-2.0"
] | null | null | null | syft/federated/federated_client.py | theoptips/PySyft | 4b68c3c6fbe0c18cdf87dfe6ddc3c2071a71f1cc | [
"Apache-2.0"
] | null | null | null | import torch as th
from torch.utils.data import BatchSampler, RandomSampler, SequentialSampler
from syft.generic import ObjectStorage
from syft.federated.train_config import TrainConfig
class FederatedClient(ObjectStorage):
"""A Client able to execute federated learning in local datasets."""
def __init__(se... | 33.42623 | 95 | 0.615253 | import torch as th
from torch.utils.data import BatchSampler, RandomSampler, SequentialSampler
from syft.generic import ObjectStorage
from syft.federated.train_config import TrainConfig
class FederatedClient(ObjectStorage):
def __init__(self, datasets=None):
super().__init__()
self.datasets = da... | true | true |
f74217b79ca81c9cfc1468248c045e90fbea2e44 | 7,580 | py | Python | ditrit.py | snarfed/misc | 75ff9f19bee6bbb5f1cb855e53c0a14d942b3f70 | [
"CC0-1.0"
] | 17 | 2015-04-24T09:36:25.000Z | 2021-04-26T06:12:46.000Z | ditrit.py | snarfed/misc | 75ff9f19bee6bbb5f1cb855e53c0a14d942b3f70 | [
"CC0-1.0"
] | 12 | 2016-12-20T02:11:13.000Z | 2018-04-13T05:06:58.000Z | ditrit.py | snarfed/misc | 75ff9f19bee6bbb5f1cb855e53c0a14d942b3f70 | [
"CC0-1.0"
] | 7 | 2015-01-15T13:54:25.000Z | 2022-01-06T20:51:41.000Z | #!/usr/bin/python2
#
# ditrit.py
# Copyright 2006 Ryan Barrett <ditrit@ryanb.org>
# http://snarfed.org/ditrit
#
# See docstring for usage details.
#
# Ideas:
# url open in browser, whois, alexa/netcraft
# email address compose in mail client, add to address book
# email mai... | 28.074074 | 78 | 0.620712 |
USAGE = """A programmable application launcher. Reads input from stdin or
the X primary selection (aka clipboard), finds a template in the config file
that matches it, and runs the corresponding command. The input may be wholly
or... | false | true |
f74218219100926c9b72b62eb0646106e594d558 | 814 | py | Python | lgp/geometry/transform.py | humans-to-robots-motion/lgp | f62da0c0cb7a209eb90848cce8eddc91c14fa099 | [
"MIT"
] | 1 | 2022-01-08T13:53:05.000Z | 2022-01-08T13:53:05.000Z | lgp/geometry/transform.py | humans-to-robots-motion/lgp | f62da0c0cb7a209eb90848cce8eddc91c14fa099 | [
"MIT"
] | 1 | 2022-01-21T07:52:34.000Z | 2022-01-21T07:52:34.000Z | lgp/geometry/transform.py | humans-to-robots-motion/lgp | f62da0c0cb7a209eb90848cce8eddc91c14fa099 | [
"MIT"
] | 2 | 2021-02-16T15:54:10.000Z | 2021-12-07T14:22:08.000Z | import numpy as np
from pyrieef.geometry.differentiable_geometry import DifferentiableMap
class LinearTranslation(DifferentiableMap):
"""
Simple linear translation
"""
def __init__(self, p0=np.zeros(2)):
assert isinstance(p0, np.ndarray)
self._p = p0
def forward(self, q):
... | 24.666667 | 70 | 0.653563 | import numpy as np
from pyrieef.geometry.differentiable_geometry import DifferentiableMap
class LinearTranslation(DifferentiableMap):
def __init__(self, p0=np.zeros(2)):
assert isinstance(p0, np.ndarray)
self._p = p0
def forward(self, q):
assert q.shape[0] == self.input_dimension
... | true | true |
f742185bf3b9484233e61df21912202df91b692f | 1,853 | py | Python | flod_facilities_backend/validation/credential_validators.py | Trondheim-kommune/Bookingbasen | 58235a5a1fd6ad291cb237e6ec9a67bfe8c463c6 | [
"BSD-2-Clause-FreeBSD"
] | 1 | 2017-10-17T12:15:28.000Z | 2017-10-17T12:15:28.000Z | flod_facilities_backend/validation/credential_validators.py | Trondheim-kommune/Bookingbasen | 58235a5a1fd6ad291cb237e6ec9a67bfe8c463c6 | [
"BSD-2-Clause-FreeBSD"
] | 6 | 2021-03-22T17:15:52.000Z | 2022-01-13T00:39:58.000Z | flod_facilities_backend/validation/credential_validators.py | Trondheim-kommune/Bookingbasen | 58235a5a1fd6ad291cb237e6ec9a67bfe8c463c6 | [
"BSD-2-Clause-FreeBSD"
] | 1 | 2019-09-09T13:35:03.000Z | 2019-09-09T13:35:03.000Z | # -*- coding: utf-8 -*-
from flask import request, current_app
from domain.models import Image, Document
from validation.base_validators import ParameterizedValidator
import repo
class CanCreateFacilityValidator(ParameterizedValidator):
def validate(self, f, *args, **kwargs):
user_id = repo.get_user_id_f... | 45.195122 | 98 | 0.657312 |
from flask import request, current_app
from domain.models import Image, Document
from validation.base_validators import ParameterizedValidator
import repo
class CanCreateFacilityValidator(ParameterizedValidator):
def validate(self, f, *args, **kwargs):
user_id = repo.get_user_id_for_user(cookies=request... | true | true |
f74218a652b58014e64850fcc512135f4d8a5a3d | 5,248 | py | Python | rgg_ensemble_analysis/Statistics_Computation.py | MGarrod1/rgg_ensemble_analysis | 679ea7b11c0eae4d92eef9f08fe9c63dcfd3837c | [
"MIT"
] | null | null | null | rgg_ensemble_analysis/Statistics_Computation.py | MGarrod1/rgg_ensemble_analysis | 679ea7b11c0eae4d92eef9f08fe9c63dcfd3837c | [
"MIT"
] | null | null | null | rgg_ensemble_analysis/Statistics_Computation.py | MGarrod1/rgg_ensemble_analysis | 679ea7b11c0eae4d92eef9f08fe9c63dcfd3837c | [
"MIT"
] | null | null | null | """
Functions to compute various statistics of the data
and their associated errors.
"""
#Compute statistics about the variance of an estimator:
import numpy as np
from scipy import stats
import math
#The following functions as involved in estimating the standard
def Moment(Sample,k) :
"""
This function com... | 20.5 | 288 | 0.68064 |
import numpy as np
from scipy import stats
import math
def Moment(Sample,k) :
Mean = np.mean(Sample)
Moment = 0.0
for i in range(0,len(Sample) ) :
Moment = Moment + (Mean - Sample[i] )**k
return Moment/(len(Sample))
def D4(Sample) :
M = float( len(Sample) )
D4 = ((M-1)/(M**3))*( (M**2 - 3*M + 3... | true | true |
f7421b12fe5a143ea38630139185a216a4d89962 | 9,679 | py | Python | saleor/graphql/core/connection.py | tgarbowski/saleor | 11218aeac8649112626c8f971ef3eec8378b5537 | [
"CC-BY-4.0"
] | null | null | null | saleor/graphql/core/connection.py | tgarbowski/saleor | 11218aeac8649112626c8f971ef3eec8378b5537 | [
"CC-BY-4.0"
] | 8 | 2022-02-14T04:25:58.000Z | 2022-03-28T04:53:16.000Z | saleor/graphql/core/connection.py | tgarbowski/saleor | 11218aeac8649112626c8f971ef3eec8378b5537 | [
"CC-BY-4.0"
] | null | null | null | import json
from typing import Any, Dict, Iterable, List, Tuple, Union
import graphene
from django.db.models import Model as DjangoModel, Q, QuerySet
from graphene.relay.connection import Connection
from graphene_django.types import DjangoObjectType
from graphql.error import GraphQLError
from graphql_relay.connection.... | 34.080986 | 87 | 0.673003 | import json
from typing import Any, Dict, Iterable, List, Tuple, Union
import graphene
from django.db.models import Model as DjangoModel, Q, QuerySet
from graphene.relay.connection import Connection
from graphene_django.types import DjangoObjectType
from graphql.error import GraphQLError
from graphql_relay.connection.... | true | true |
f7421b1eb505298bdde11af41aa3cb292f25adeb | 1,130 | py | Python | tests/storage/cases/test_KT1HYegMXP5pqPe83SbeYdHuJZub4tuG2ZvN.py | juztin/pytezos-1 | 7e608ff599d934bdcf129e47db43dbdb8fef9027 | [
"MIT"
] | 1 | 2021-05-20T16:52:08.000Z | 2021-05-20T16:52:08.000Z | tests/storage/cases/test_KT1HYegMXP5pqPe83SbeYdHuJZub4tuG2ZvN.py | juztin/pytezos-1 | 7e608ff599d934bdcf129e47db43dbdb8fef9027 | [
"MIT"
] | 1 | 2020-12-30T16:44:56.000Z | 2020-12-30T16:44:56.000Z | tests/storage/cases/test_KT1HYegMXP5pqPe83SbeYdHuJZub4tuG2ZvN.py | juztin/pytezos-1 | 7e608ff599d934bdcf129e47db43dbdb8fef9027 | [
"MIT"
] | 1 | 2022-03-20T19:01:00.000Z | 2022-03-20T19:01:00.000Z | from unittest import TestCase
from tests import get_data
from pytezos.michelson.converter import build_schema, decode_micheline, encode_micheline, micheline_to_michelson
class StorageTestKT1HYegMXP5pqPe83SbeYdHuJZub4tuG2ZvN(TestCase):
@classmethod
def setUpClass(cls):
cls.maxDiff = None
cls.... | 40.357143 | 112 | 0.748673 | from unittest import TestCase
from tests import get_data
from pytezos.michelson.converter import build_schema, decode_micheline, encode_micheline, micheline_to_michelson
class StorageTestKT1HYegMXP5pqPe83SbeYdHuJZub4tuG2ZvN(TestCase):
@classmethod
def setUpClass(cls):
cls.maxDiff = None
cls.... | true | true |
f7421c61dc4a9f2905083616a76cf5c9a110855b | 4,688 | py | Python | main.py | Davidswinkels/DownloadWalkingRoutes | 9ceaee0b96507149086aef7081790a09ab6b3653 | [
"Apache-2.0"
] | null | null | null | main.py | Davidswinkels/DownloadWalkingRoutes | 9ceaee0b96507149086aef7081790a09ab6b3653 | [
"Apache-2.0"
] | null | null | null | main.py | Davidswinkels/DownloadWalkingRoutes | 9ceaee0b96507149086aef7081790a09ab6b3653 | [
"Apache-2.0"
] | null | null | null | from scripts.downloader import *
import fiona
from shapely.geometry import shape
import geopandas as gpd
import matplotlib.pyplot as plt
from pprint import pprint
import requests
import json
import time
import os
# Constant variables
input_min_lat = 50.751797561
input_min_lon = 5.726110232
input_max_lat = 50.938216069... | 53.272727 | 133 | 0.588097 | from scripts.downloader import *
import fiona
from shapely.geometry import shape
import geopandas as gpd
import matplotlib.pyplot as plt
from pprint import pprint
import requests
import json
import time
import os
input_min_lat = 50.751797561
input_min_lon = 5.726110232
input_max_lat = 50.938216069
input_max_lon = 6.1... | true | true |
f7421d81349d859b4d67819456d7204314191856 | 5,095 | py | Python | elyra/elyra_app.py | lresende/elyra | d62f6933003887449686610967111d2a3fd115aa | [
"Apache-2.0"
] | null | null | null | elyra/elyra_app.py | lresende/elyra | d62f6933003887449686610967111d2a3fd115aa | [
"Apache-2.0"
] | null | null | null | elyra/elyra_app.py | lresende/elyra | d62f6933003887449686610967111d2a3fd115aa | [
"Apache-2.0"
] | null | null | null | #
# Copyright 2018-2021 Elyra 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 applicable law or agreed to in writ... | 45.491071 | 115 | 0.750736 |
import os
from jupyter_server.extension.application import ExtensionApp
from jupyter_server.extension.application import ExtensionAppJinjaMixin
from elyra._version import __version__
from elyra.api.handlers import YamlSpecHandler
from elyra.contents.handlers import ContentHandler
from elyra.metadata.ha... | true | true |
f7421d98eda4f2491161fc476f629a50e65d92cc | 8,051 | py | Python | RGBDFace/utils/face.py | liggest/RGBDFace | 75768b1848f03d3e9d53913546b19cce0b1ada67 | [
"MIT"
] | 1 | 2021-06-10T16:08:18.000Z | 2021-06-10T16:08:18.000Z | RGBDFace/utils/face.py | liggest/RGBDFace | 75768b1848f03d3e9d53913546b19cce0b1ada67 | [
"MIT"
] | null | null | null | RGBDFace/utils/face.py | liggest/RGBDFace | 75768b1848f03d3e9d53913546b19cce0b1ada67 | [
"MIT"
] | null | null | null | import numpy as np
# import open3d as o3d
import face_recognition
# import cv2
from skimage import draw #,morphology
# from .depth import depthPreprocess
from .image import getConvexHullMask,getMaskedImg2, maskClosing,maskDilation,maskErosion
def faceLandmarks(image):
'''
人脸边框+特征点
'''
image=np.as... | 37.273148 | 112 | 0.70985 | import numpy as np
import face_recognition
from skimage import draw
from .image import getConvexHullMask,getMaskedImg2, maskClosing,maskDilation,maskErosion
def faceLandmarks(image):
image=np.asarray(image)
locations=face_recognition.face_locations(image)
if not locations:
return None,None
... | true | true |
f7421e409e1a14805af9c1bfa029d410c0aecf02 | 2,238 | py | Python | Classifier_shah.py | meetshah91/Class-Identifier | ab215ef685164ac450996844a8d0a56c34d013e6 | [
"MIT"
] | null | null | null | Classifier_shah.py | meetshah91/Class-Identifier | ab215ef685164ac450996844a8d0a56c34d013e6 | [
"MIT"
] | null | null | null | Classifier_shah.py | meetshah91/Class-Identifier | ab215ef685164ac450996844a8d0a56c34d013e6 | [
"MIT"
] | null | null | null |
import math
import sys
import pandas as pd
from decison_tree import decision_btree
from file_healper import file_operation
def classify_validation_data(cls_validation_data):
classification_result = list()
for idx in cls_validation_data.index:
if cls_validation_data["TailLn"][idx]<=9.0:
if cls_validati... | 30.243243 | 75 | 0.655049 |
import math
import sys
import pandas as pd
from decison_tree import decision_btree
from file_healper import file_operation
def classify_validation_data(cls_validation_data):
classification_result = list()
for idx in cls_validation_data.index:
if cls_validation_data["TailLn"][idx]<=9.0:
if cls_validati... | true | true |
f7421e9f56ec9815ff71cff91744f89c3fb3f15f | 3,530 | py | Python | utils.py | defensetongxue/pyGAT | 5677b15be986b0650b883cdd20dbfb1bb486d6f5 | [
"MIT"
] | null | null | null | utils.py | defensetongxue/pyGAT | 5677b15be986b0650b883cdd20dbfb1bb486d6f5 | [
"MIT"
] | null | null | null | utils.py | defensetongxue/pyGAT | 5677b15be986b0650b883cdd20dbfb1bb486d6f5 | [
"MIT"
] | null | null | null | import numpy as np
import scipy.sparse as sp
import torch
import json as js
import pandas as pd
def encode_onehot(labels):
# The classes must be sorted before encoding to enable static class encoding.
# In other words, make sure the first class always maps to index 0.
classes = sorted(list(set(labels)))
... | 37.553191 | 142 | 0.652125 | import numpy as np
import scipy.sparse as sp
import torch
import json as js
import pandas as pd
def encode_onehot(labels):
classes = sorted(list(set(labels)))
classes_dict = {c: np.identity(len(classes))[i, :] for i, c in enumerate(classes)}
labels_onehot = np.array(list(map(classes_dict.get, lab... | true | true |
f7421f87a99a927a6118a3682dbbc37b720d089c | 614 | py | Python | sgmon/nr.py | relistan/singularity-monitor | ddb1dcd1d43d6d901ff367850198f4a141f01c0d | [
"MIT"
] | null | null | null | sgmon/nr.py | relistan/singularity-monitor | ddb1dcd1d43d6d901ff367850198f4a141f01c0d | [
"MIT"
] | 1 | 2019-10-15T21:10:01.000Z | 2019-11-14T16:25:18.000Z | sgmon/nr.py | relistan/singularity-monitor | ddb1dcd1d43d6d901ff367850198f4a141f01c0d | [
"MIT"
] | 1 | 2019-10-16T10:10:21.000Z | 2019-10-16T10:10:21.000Z | import os
import logging
import newrelic.agent as agent
from sgmon.log import get_logger
logger = get_logger(__name__)
def init_newrelic_agent():
try:
_ = os.environ["NEW_RELIC_LICENSE_KEY"]
except KeyError:
logger.info("Agent will not report data to New Relic APM")
else:
config_... | 27.909091 | 66 | 0.692182 | import os
import logging
import newrelic.agent as agent
from sgmon.log import get_logger
logger = get_logger(__name__)
def init_newrelic_agent():
try:
_ = os.environ["NEW_RELIC_LICENSE_KEY"]
except KeyError:
logger.info("Agent will not report data to New Relic APM")
else:
config_... | true | true |
f7421fa66c6d619b26a663213b5dc0c477691527 | 535 | py | Python | Problems/Sherlock and Numbers/small.py | jamtot/HackerEarth | 71b919920dbc5b3af3fc49920939bab418455fb6 | [
"MIT"
] | 3 | 2018-07-17T09:03:02.000Z | 2020-05-11T18:03:25.000Z | Problems/Sherlock and Numbers/small.py | jamtot/HackerEarth | 71b919920dbc5b3af3fc49920939bab418455fb6 | [
"MIT"
] | null | null | null | Problems/Sherlock and Numbers/small.py | jamtot/HackerEarth | 71b919920dbc5b3af3fc49920939bab418455fb6 | [
"MIT"
] | 2 | 2016-06-01T13:16:27.000Z | 2018-09-25T08:32:24.000Z | def pth(N,K,P): # too slow for the huge inputs
A=set(map(int,raw_input().split()))
try:
return [x for x in range(1,N+1) if x not in A][P-1]
except IndexError:
return -1
def ppth(N,K,P):
x=P
e = map(int,raw_input().split())
for i in xrange(K):
if(e[i]<=x):
x+=... | 23.26087 | 59 | 0.517757 | def pth(N,K,P):
A=set(map(int,raw_input().split()))
try:
return [x for x in range(1,N+1) if x not in A][P-1]
except IndexError:
return -1
def ppth(N,K,P):
x=P
e = map(int,raw_input().split())
for i in xrange(K):
if(e[i]<=x):
x+=1
if(P<=N-K):
retu... | false | true |
f7421faefdbb37474b33a7e9ab63a0e6a6b978d3 | 5,975 | py | Python | test/functional/rpc_users.py | zzcasper/JNita-Coin-Sources | bbe8b5d647d993611021cc12d79c4e509dae5a78 | [
"MIT"
] | null | null | null | test/functional/rpc_users.py | zzcasper/JNita-Coin-Sources | bbe8b5d647d993611021cc12d79c4e509dae5a78 | [
"MIT"
] | null | null | null | test/functional/rpc_users.py | zzcasper/JNita-Coin-Sources | bbe8b5d647d993611021cc12d79c4e509dae5a78 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2015-2017 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Test multiple RPC users."""
from test_framework.test_framework import BitcoinTestFramework
from test_f... | 38.798701 | 129 | 0.613556 |
from test_framework.test_framework import BitcoinTestFramework
from test_framework.util import str_to_b64str, assert_equal
import os
import http.client
import urllib.parse
class HTTPBasicsTest (BitcoinTestFramework):
def set_test_params(self):
self.num_nodes = 2
def setup_chain(self):
su... | true | true |
f7421fc599e53f32dad63efa64c062d82c605e44 | 3,124 | py | Python | Project/make_post.py | JonnyPugh/WordpostBot | 3fcd485edf594a9098e210790b22f0a9caa9933d | [
"MIT"
] | null | null | null | Project/make_post.py | JonnyPugh/WordpostBot | 3fcd485edf594a9098e210790b22f0a9caa9933d | [
"MIT"
] | null | null | null | Project/make_post.py | JonnyPugh/WordpostBot | 3fcd485edf594a9098e210790b22f0a9caa9933d | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from extensions import *
from config import *
from sets import Set
from re import match
def get_wordnik_json(route, extra_params):
params = {
"limit": 1,
"api_key": wordnik_key
}
params.update(extra_params)
request_json = []
while not request_json:
request_json = get_request_json("htt... | 42.216216 | 432 | 0.709347 |
from extensions import *
from config import *
from sets import Set
from re import match
def get_wordnik_json(route, extra_params):
params = {
"limit": 1,
"api_key": wordnik_key
}
params.update(extra_params)
request_json = []
while not request_json:
request_json = get_request_json("https://api.wordnik.com/... | true | true |
f7422123c4ff2af193eb05d8808126b771bddc6a | 2,719 | py | Python | idfy_rest_client/models/packaging.py | dealflowteam/Idfy | fa3918a6c54ea0eedb9146578645b7eb1755b642 | [
"MIT"
] | null | null | null | idfy_rest_client/models/packaging.py | dealflowteam/Idfy | fa3918a6c54ea0eedb9146578645b7eb1755b642 | [
"MIT"
] | null | null | null | idfy_rest_client/models/packaging.py | dealflowteam/Idfy | fa3918a6c54ea0eedb9146578645b7eb1755b642 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
idfy_rest_client.models.packaging
This file was automatically generated for Idfy by APIMATIC v2.0 ( https://apimatic.io )
"""
import idfy_rest_client.models.pades_settings
class Packaging(object):
"""Implementation of the 'Packaging' model.
TODO: type model ... | 34.417722 | 172 | 0.638838 |
import idfy_rest_client.models.pades_settings
class Packaging(object):
_names = {
"signature_package_formats":'signaturePackageFormats',
"pades_settings":'padesSettings'
}
def __init__(self,
signature_package_formats=None,
pades_setti... | true | true |
f742212e7d3764151798805df46cf2ba8e7c0d01 | 7,778 | py | Python | official/projects/yt8m/dataloaders/yt8m_input_test.py | wnorris/models | a5e4965d1f4e4b02d51aa344336b6fff53af7c17 | [
"Apache-2.0"
] | 1 | 2020-09-14T10:46:07.000Z | 2020-09-14T10:46:07.000Z | official/projects/yt8m/dataloaders/yt8m_input_test.py | wnorris/models | a5e4965d1f4e4b02d51aa344336b6fff53af7c17 | [
"Apache-2.0"
] | null | null | null | official/projects/yt8m/dataloaders/yt8m_input_test.py | wnorris/models | a5e4965d1f4e4b02d51aa344336b6fff53af7c17 | [
"Apache-2.0"
] | null | null | null | # Copyright 2022 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... | 39.887179 | 80 | 0.700437 |
import os
from absl import logging
from absl.testing import parameterized
import numpy as np
import tensorflow as tf
from official.core import input_reader
from official.projects.yt8m.configs import yt8m as yt8m_configs
from official.projects.yt8m.dataloaders import utils
from official.projects.yt8m.dat... | true | true |
f74221b001745c7f5c3c8a00f32e750084d8c97c | 6,577 | py | Python | sgsclient/__init__.py | stratumgs/stratum-client-libs | 5bbc52036860535316d0fe833315c7b53af4ee01 | [
"MIT"
] | null | null | null | sgsclient/__init__.py | stratumgs/stratum-client-libs | 5bbc52036860535316d0fe833315c7b53af4ee01 | [
"MIT"
] | null | null | null | sgsclient/__init__.py | stratumgs/stratum-client-libs | 5bbc52036860535316d0fe833315c7b53af4ee01 | [
"MIT"
] | null | null | null | """
.. module sgsclient
This module contains the client library code. In general, a client should
subclass ``StratumGSClientInstance`` and call the ``main`` function.
"""
import json
import socket
import sys
version = "0.1.0"
class StratumGSClient(object):
def __init__(self, settings, client_instance_constru... | 33.050251 | 89 | 0.590695 |
import json
import socket
import sys
version = "0.1.0"
class StratumGSClient(object):
def __init__(self, settings, client_instance_constructor):
self._settings = settings
self._socket = None
self._socket_readfile = None
self._socket_writefile = None
self._client_instanc... | true | true |
f7422287ec0b3f27d2c37e67280260f59347da80 | 11,927 | py | Python | python/macro_compiler_spec.py | jhogsett/linkit | 97f9a99d3829a33e1b31b6f14210a7af44306a0f | [
"MIT"
] | 2 | 2018-01-07T23:40:48.000Z | 2018-06-07T08:08:58.000Z | python/macro_compiler_spec.py | jhogsett/linkit | 97f9a99d3829a33e1b31b6f14210a7af44306a0f | [
"MIT"
] | 1 | 2020-10-29T23:36:10.000Z | 2020-10-29T23:36:10.000Z | python/macro_compiler_spec.py | jhogsett/linkit | 97f9a99d3829a33e1b31b6f14210a7af44306a0f | [
"MIT"
] | null | null | null | #!/usr/bin/python
import sys
import macro_compiler as mc
import os
import app_ui as ui
import terminal_colors as tc
import argparse
import led_command as lc
import math
import utils as u
import datetime
global app_description, verbose_mode, random_seed
app_description = None
verbose_mode = None
random_seed = 1
glob... | 38.350482 | 188 | 0.65423 |
import sys
import macro_compiler as mc
import os
import app_ui as ui
import terminal_colors as tc
import argparse
import led_command as lc
import math
import utils as u
import datetime
global app_description, verbose_mode, random_seed
app_description = None
verbose_mode = None
random_seed = 1
global device_profile... | false | true |
f7422296ebefa821653e07a5f93e36b497c20bbe | 27,260 | py | Python | cvat/apps/dataset_manager/task.py | gitibharatibiswal/cvat-adas-team | a33c1ae38d79ed6e35a61a97b74cd2978853e4c2 | [
"Intel",
"MIT"
] | 2 | 2022-03-13T03:45:15.000Z | 2022-03-13T03:46:19.000Z | cvat/apps/dataset_manager/task.py | nav13n/cvat | 9bdcc7f8f2d86a763ab5f306ea049ce1432da557 | [
"Intel",
"MIT"
] | 9 | 2021-07-15T13:42:33.000Z | 2021-09-22T12:43:07.000Z | cvat/apps/dataset_manager/task.py | nav13n/cvat | 9bdcc7f8f2d86a763ab5f306ea049ce1432da557 | [
"Intel",
"MIT"
] | 41 | 2020-12-16T05:52:41.000Z | 2021-09-23T08:45:16.000Z |
# Copyright (C) 2019-2021 Intel Corporation
#
# SPDX-License-Identifier: MIT
from collections import OrderedDict
from enum import Enum
from django.conf import settings
from django.db import transaction
from django.utils import timezone
from cvat.apps.engine import models, serializers
from cvat.apps.engine.plugins i... | 35.494792 | 110 | 0.617498 |
from collections import OrderedDict
from enum import Enum
from django.conf import settings
from django.db import transaction
from django.utils import timezone
from cvat.apps.engine import models, serializers
from cvat.apps.engine.plugins import plugin_decorator
from cvat.apps.profiler import silk_profile
from .... | true | true |
f74223737b9b5e69384d1627cc4291a3cc011965 | 8,423 | py | Python | examples/rough_translated1/osganimationhardware.py | JaneliaSciComp/osgpyplusplus | a5ae3f69c7e9101a32d8cc95fe680dab292f75ac | [
"BSD-3-Clause"
] | 17 | 2015-06-01T12:19:46.000Z | 2022-02-12T02:37:48.000Z | examples/rough_translated1/osganimationhardware.py | cmbruns/osgpyplusplus | f8bfca2cf841e15f6ddb41c958f3ad0d0b9e4b75 | [
"BSD-3-Clause"
] | 7 | 2015-07-04T14:36:49.000Z | 2015-07-23T18:09:49.000Z | examples/rough_translated1/osganimationhardware.py | cmbruns/osgpyplusplus | f8bfca2cf841e15f6ddb41c958f3ad0d0b9e4b75 | [
"BSD-3-Clause"
] | 7 | 2015-11-28T17:00:31.000Z | 2020-01-08T07:00:59.000Z | #!/bin/env python
# Automatically translated python version of
# OpenSceneGraph example program "osganimationhardware"
# !!! This program will need manual tuning before it will work. !!!
import sys
from osgpypp import osg
from osgpypp import osgAnimation
from osgpypp import osgDB
from osgpypp import osgGA
from osgp... | 33.031373 | 131 | 0.658554 |
import sys
from osgpypp import osg
from osgpypp import osgAnimation
from osgpypp import osgDB
from osgpypp import osgGA
from osgpypp import osgViewer
static unsigned int getRandomValueinRange(unsigned int v)
return static_cast<unsigned int>((rand() * 1.0 * v)/(RAND_MAX... | false | true |
f742240ea53e33fcd737210f6c04b29b16bb4de3 | 413 | py | Python | build/lib/admintool_command/command.py | jayvdb/django-admintool-command | aee5f8f003b5956e3a3e7df4957c5b839ffd8341 | [
"MIT"
] | 3 | 2019-08-07T23:33:19.000Z | 2021-03-26T11:08:12.000Z | build/lib/admintool_command/command.py | jayvdb/django-admintool-command | aee5f8f003b5956e3a3e7df4957c5b839ffd8341 | [
"MIT"
] | 6 | 2020-04-27T13:09:42.000Z | 2020-08-16T06:36:02.000Z | build/lib/admintool_command/command.py | jayvdb/django-admintool-command | aee5f8f003b5956e3a3e7df4957c5b839ffd8341 | [
"MIT"
] | 1 | 2020-08-07T05:52:46.000Z | 2020-08-07T05:52:46.000Z | from abc import ABC, abstractmethod
from django import forms
from django.core.management import BaseCommand
class AdminCommand(BaseCommand, ABC):
name = None
template = "admintool_command/command.html"
class Form(forms.Form):
pass
def init_context(self, request=None, **kwargs):
retu... | 20.65 | 51 | 0.7046 | from abc import ABC, abstractmethod
from django import forms
from django.core.management import BaseCommand
class AdminCommand(BaseCommand, ABC):
name = None
template = "admintool_command/command.html"
class Form(forms.Form):
pass
def init_context(self, request=None, **kwargs):
retu... | true | true |
f74224205c7c48e01dd834f9755a26c8ba344dd8 | 5,727 | py | Python | demo/yolo.py | ruoxinx/site-dust-detect | f1b4c71f3ce5c325b25e26e9d663e3c1f7096ce7 | [
"MIT"
] | 4 | 2021-03-30T00:42:49.000Z | 2022-02-10T00:25:08.000Z | demo/yolo.py | ruoxinx/site-dust-detect | f1b4c71f3ce5c325b25e26e9d663e3c1f7096ce7 | [
"MIT"
] | null | null | null | demo/yolo.py | ruoxinx/site-dust-detect | f1b4c71f3ce5c325b25e26e9d663e3c1f7096ce7 | [
"MIT"
] | null | null | null | import colorsys
import os
import numpy as np
from keras import backend as K
from keras.layers import Input
from keras.models import load_model
from PIL import Image, ImageDraw, ImageFont
from nets.yolo3 import yolo_body, yolo_eval
from utils.utils import letterbox_image
class YOLO(object):
_defaults = {
... | 38.695946 | 112 | 0.573948 | import colorsys
import os
import numpy as np
from keras import backend as K
from keras.layers import Input
from keras.models import load_model
from PIL import Image, ImageDraw, ImageFont
from nets.yolo3 import yolo_body, yolo_eval
from utils.utils import letterbox_image
class YOLO(object):
_defaults = {
... | true | true |
f7422471a9b38da29fe8e9fa9f6505b82f5b2840 | 25,851 | py | Python | ndg_oauth_server/ndg/oauth/server/lib/authorization_server.py | cedadev/ndg_oauth | 83f2525bac3d739d1a61817ce3071c491b587793 | [
"BSD-3-Clause"
] | 2 | 2015-09-24T21:08:58.000Z | 2016-10-20T02:34:45.000Z | ndg_oauth_server/ndg/oauth/server/lib/authorization_server.py | cedadev/ndg_oauth | 83f2525bac3d739d1a61817ce3071c491b587793 | [
"BSD-3-Clause"
] | null | null | null | ndg_oauth_server/ndg/oauth/server/lib/authorization_server.py | cedadev/ndg_oauth | 83f2525bac3d739d1a61817ce3071c491b587793 | [
"BSD-3-Clause"
] | 1 | 2015-01-06T13:26:55.000Z | 2015-01-06T13:26:55.000Z | """OAuth 2.0 WSGI server middleware implements support for basic bearer
tokens and also X.509 certificates as access tokens
OAuth 2.0 Authorisation Server
"""
__author__ = "R B Wilkinson"
__date__ = "12/12/11"
__copyright__ = "(C) 2011 Science and Technology Facilities Council"
__license__ = "BSD - see LICENSE file i... | 40.903481 | 90 | 0.563228 | """OAuth 2.0 WSGI server middleware implements support for basic bearer
tokens and also X.509 certificates as access tokens
OAuth 2.0 Authorisation Server
"""
__author__ = "R B Wilkinson"
__date__ = "12/12/11"
__copyright__ = "(C) 2011 Science and Technology Facilities Council"
__license__ = "BSD - see LICENSE file i... | false | true |
f74224c79bf42c2d191df6e2d2f0e86a94c04fe9 | 7,611 | py | Python | teacher_miniImageNet/datasets/cifar_few_shot.py | MuawizChaudhary/STARTUP | 03f39b34a4ec232f132173b4a1e67ea04165e52b | [
"MIT"
] | 184 | 2020-01-21T22:18:38.000Z | 2022-03-23T21:42:31.000Z | datasets/cifar_few_shot.py | marzi-heidari/cdfsl-benchmark | 5cfa6694a4ffa6ffd3cc22deceb4626fd008ee83 | [
"Apache-2.0"
] | 43 | 2020-01-29T12:15:36.000Z | 2022-01-31T16:51:21.000Z | datasets/cifar_few_shot.py | marzi-heidari/cdfsl-benchmark | 5cfa6694a4ffa6ffd3cc22deceb4626fd008ee83 | [
"Apache-2.0"
] | 41 | 2020-02-02T21:06:55.000Z | 2022-01-05T04:10:53.000Z | # This code is modified from https://github.com/facebookresearch/low-shot-shrink-hallucinate
import torch
from PIL import Image
import numpy as np
import torchvision.transforms as transforms
import additional_transforms as add_transforms
from abc import abstractmethod
from torchvision.datasets import CIFAR100, CIFAR10... | 36.946602 | 123 | 0.607673 |
import torch
from PIL import Image
import numpy as np
import torchvision.transforms as transforms
import additional_transforms as add_transforms
from abc import abstractmethod
from torchvision.datasets import CIFAR100, CIFAR10
identity = lambda x:x
class SimpleDataset:
def __init__(self, mode, dataset, transform... | true | true |
f74225b1057045a8ea00bca650a6c895a650fbab | 2,745 | py | Python | Scripts/training_mask_detection_model.py | thadanipaarth/Non-Invasive-Public-Safety-Detection-System | 760b79c295e31003c7d0e826fe9214a73245c344 | [
"MIT"
] | null | null | null | Scripts/training_mask_detection_model.py | thadanipaarth/Non-Invasive-Public-Safety-Detection-System | 760b79c295e31003c7d0e826fe9214a73245c344 | [
"MIT"
] | null | null | null | Scripts/training_mask_detection_model.py | thadanipaarth/Non-Invasive-Public-Safety-Detection-System | 760b79c295e31003c7d0e826fe9214a73245c344 | [
"MIT"
] | null | null | null | from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.applications import MobileNetV2
from tensorflow.keras.layers import AveragePooling2D
from tensorflow.keras.layers import Dropout
from tensorflow.keras.layers import Flatten
from tensorflow.keras.layers import Dense
from tensorflow... | 36.118421 | 71 | 0.798543 | from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.applications import MobileNetV2
from tensorflow.keras.layers import AveragePooling2D
from tensorflow.keras.layers import Dropout
from tensorflow.keras.layers import Flatten
from tensorflow.keras.layers import Dense
from tensorflow... | true | true |
f74226d24cb5318ab4668e10bc2cb3276a388bc2 | 1,635 | py | Python | src/saltext/vmware/utils/vmc_constants.py | kdsalvy/salt-ext-modules-vmware-1 | 9fdc941692e4c526f575f33b2ce23c1470582934 | [
"Apache-2.0"
] | 10 | 2021-11-02T20:24:44.000Z | 2022-03-11T05:54:27.000Z | src/saltext/vmware/utils/vmc_constants.py | cmcmarrow/salt-ext-modules-vmware | c546a9f9ae121b7399dabae82f714117d0ab558d | [
"Apache-2.0"
] | 83 | 2021-10-01T15:13:02.000Z | 2022-03-31T16:22:40.000Z | src/saltext/vmware/utils/vmc_constants.py | cmcmarrow/salt-ext-modules-vmware | c546a9f9ae121b7399dabae82f714117d0ab558d | [
"Apache-2.0"
] | 15 | 2021-09-30T23:17:27.000Z | 2022-03-23T06:54:22.000Z | CSP_AUTHORIZATION_URL = "csp/gateway/am/api/auth/api-tokens/authorize"
HTTPS_URL_PREFIX = "https://"
URL_SUFFIX = "/"
REFRESH_TOKEN = "refresh_token"
CONTENT_TYPE = "Content-Type"
ACCESS_TOKEN = "access_token"
APPLICATION_JSON = "application/json"
CSP_AUTH_TOKEN = "csp-auth-token"
ERROR = "error"
ERROR_MSG = "error_mes... | 38.023256 | 100 | 0.769419 | CSP_AUTHORIZATION_URL = "csp/gateway/am/api/auth/api-tokens/authorize"
HTTPS_URL_PREFIX = "https://"
URL_SUFFIX = "/"
REFRESH_TOKEN = "refresh_token"
CONTENT_TYPE = "Content-Type"
ACCESS_TOKEN = "access_token"
APPLICATION_JSON = "application/json"
CSP_AUTH_TOKEN = "csp-auth-token"
ERROR = "error"
ERROR_MSG = "error_mes... | true | true |
f7422731979ad4853b3ed8984d505258dff7f132 | 24,927 | py | Python | pybind/nos/v7_0_1b/interface/port_channel/ip/__init__.py | shivharis/pybind | 4e1c6d54b9fd722ccec25546ba2413d79ce337e6 | [
"Apache-2.0"
] | null | null | null | pybind/nos/v7_0_1b/interface/port_channel/ip/__init__.py | shivharis/pybind | 4e1c6d54b9fd722ccec25546ba2413d79ce337e6 | [
"Apache-2.0"
] | null | null | null | pybind/nos/v7_0_1b/interface/port_channel/ip/__init__.py | shivharis/pybind | 4e1c6d54b9fd722ccec25546ba2413d79ce337e6 | [
"Apache-2.0"
] | null | null | null |
from operator import attrgetter
import pyangbind.lib.xpathhelper as xpathhelper
from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType, RestrictedClassType, TypedListType
from pyangbind.lib.yangtypes import YANGBool, YANGListType, YANGDynClass, ReferenceType
from pyangbind.lib.base import PybindBase
from d... | 72.885965 | 584 | 0.741565 |
from operator import attrgetter
import pyangbind.lib.xpathhelper as xpathhelper
from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType, RestrictedClassType, TypedListType
from pyangbind.lib.yangtypes import YANGBool, YANGListType, YANGDynClass, ReferenceType
from pyangbind.lib.base import PybindBase
from d... | true | true |
f74227c47e5910246a5bc7d4c5075bdecbcb498d | 44,612 | py | Python | lib/galaxy/datatypes/data.py | BalthazarPavot/galaxy_project_reports | aa397de11a9a3425f85c701087af4c5d165b571f | [
"CC-BY-3.0"
] | 1 | 2019-07-03T08:13:57.000Z | 2019-07-03T08:13:57.000Z | lib/galaxy/datatypes/data.py | LainOldAccound/galaxy_project_reports | aa397de11a9a3425f85c701087af4c5d165b571f | [
"CC-BY-3.0"
] | null | null | null | lib/galaxy/datatypes/data.py | LainOldAccound/galaxy_project_reports | aa397de11a9a3425f85c701087af4c5d165b571f | [
"CC-BY-3.0"
] | null | null | null | import logging
import mimetypes
import os
import shutil
import tempfile
import zipfile
from cgi import escape
from inspect import isclass
import metadata
from galaxy import util
from galaxy.datatypes.metadata import MetadataElement # import directly to maintain ease of use in Datatype class definitions
from galaxy.ut... | 43.823183 | 206 | 0.611607 | import logging
import mimetypes
import os
import shutil
import tempfile
import zipfile
from cgi import escape
from inspect import isclass
import metadata
from galaxy import util
from galaxy.datatypes.metadata import MetadataElement
from galaxy.util import inflector
from galaxy.util.bunch import Bunch
from galaxy.uti... | true | true |
f7422894886f612777bc1518c8fe57d0e0a3eb4f | 4,053 | py | Python | google/ads/googleads/v7/googleads-py/google/ads/googleads/v7/services/services/combined_audience_service/transports/base.py | googleapis/googleapis-gen | d84824c78563d59b0e58d5664bfaa430e9ad7e7a | [
"Apache-2.0"
] | 7 | 2021-02-21T10:39:41.000Z | 2021-12-07T07:31:28.000Z | google/ads/googleads/v7/googleads-py/google/ads/googleads/v7/services/services/combined_audience_service/transports/base.py | googleapis/googleapis-gen | d84824c78563d59b0e58d5664bfaa430e9ad7e7a | [
"Apache-2.0"
] | 6 | 2021-02-02T23:46:11.000Z | 2021-11-15T01:46:02.000Z | google/ads/googleads/v7/googleads-py/google/ads/googleads/v7/services/services/combined_audience_service/transports/base.py | googleapis/googleapis-gen | d84824c78563d59b0e58d5664bfaa430e9ad7e7a | [
"Apache-2.0"
] | 4 | 2021-01-28T23:25:45.000Z | 2021-08-30T01:55:16.000Z | # -*- coding: utf-8 -*-
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | 36.1875 | 79 | 0.66716 |
import abc
import typing
import pkg_resources
import google.auth
from google.api_core import gapic_v1
from google.api_core import retry as retries
from google.auth import credentials as ga_credentials
from google.ads.googleads.v7.resources.types import combined_audience
from google.ads.google... | true | true |
f74228b96d1ad4d9e23a8482267deb5aae07cb1c | 1,503 | py | Python | Back End Projects/P5-SWISH_TOURNAMENT/create_character_database.py | UndreamtMayhem/Back-End-Dev | 742849277303a379947706bc39295c1897f66c85 | [
"MIT"
] | null | null | null | Back End Projects/P5-SWISH_TOURNAMENT/create_character_database.py | UndreamtMayhem/Back-End-Dev | 742849277303a379947706bc39295c1897f66c85 | [
"MIT"
] | null | null | null | Back End Projects/P5-SWISH_TOURNAMENT/create_character_database.py | UndreamtMayhem/Back-End-Dev | 742849277303a379947706bc39295c1897f66c85 | [
"MIT"
] | null | null | null | """ Character database schema """
from sqlalchemy import Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import create_engine
base = declarative_base()
class Character(base):
""" Character database schema """
__tablename__ = 'character'
id = Column(Integ... | 30.673469 | 63 | 0.64338 | from sqlalchemy import Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import create_engine
base = declarative_base()
class Character(base):
__tablename__ = 'character'
id = Column(Integer, primary_key=True)
name = Column(String(250), nullable=False)
s... | true | true |
f742291935372790290d1e94edc2a9daaf0f1ad9 | 595 | py | Python | kvdroid/jclass/__init__.py | wilsenmuts/Kvdroid | 9ab29c54e761ce4cfaa9d8f847257c4a975fbe0f | [
"MIT"
] | 27 | 2021-03-09T21:39:43.000Z | 2022-01-25T22:55:34.000Z | kvdroid/jclass/__init__.py | kengoon/Kvdroid | a47ab614079b70f81031c2e16a2a04fba1d39677 | [
"MIT"
] | 10 | 2021-03-22T20:38:17.000Z | 2021-12-23T21:06:40.000Z | kvdroid/jclass/__init__.py | kengoon/Kvdroid | a47ab614079b70f81031c2e16a2a04fba1d39677 | [
"MIT"
] | 7 | 2021-03-23T07:55:47.000Z | 2021-12-17T09:32:35.000Z | from jnius import autoclass, JavaException
def _class_call(cls, args: tuple, instantiate: bool):
if not args:
return cls() if instantiate else cls
else:
return cls(*args)
def _browserx_except_cls_call(namespace: str, args: tuple, instantiate: bool):
try:
return _class_call(autocl... | 31.315789 | 105 | 0.680672 | from jnius import autoclass, JavaException
def _class_call(cls, args: tuple, instantiate: bool):
if not args:
return cls() if instantiate else cls
else:
return cls(*args)
def _browserx_except_cls_call(namespace: str, args: tuple, instantiate: bool):
try:
return _class_call(autocl... | true | true |
f74229a10411559ea2f0bcfe44b35a0fb5a31916 | 4,863 | py | Python | examples/02_Example_WaterwaySearch/dubinsUAV.py | jaywilhelm/OpenUxAS | 76b08d94c4c51ca51d9f79c9db03d7344e9d6552 | [
"NASA-1.3"
] | null | null | null | examples/02_Example_WaterwaySearch/dubinsUAV.py | jaywilhelm/OpenUxAS | 76b08d94c4c51ca51d9f79c9db03d7344e9d6552 | [
"NASA-1.3"
] | 3 | 2019-06-10T06:10:52.000Z | 2020-07-21T16:10:41.000Z | examples/02_Example_WaterwaySearch/dubinsUAV.py | jaywilhelm/OpenUxAS | 76b08d94c4c51ca51d9f79c9db03d7344e9d6552 | [
"NASA-1.3"
] | 1 | 2021-01-12T02:45:46.000Z | 2021-01-12T02:45:46.000Z | from matplotlib import pyplot as plt
from shapely.geometry import Point
from shapely.geometry.polygon import Polygon
#from lineSegmentAoE import *
import numpy as np
import sys
class dubinsUAV():
def __init__(self, position, velocity, heading, dt=0.1):
self.velocity = velocity
self.turnRateLimite... | 32.637584 | 169 | 0.539173 | from matplotlib import pyplot as plt
from shapely.geometry import Point
from shapely.geometry.polygon import Polygon
import numpy as np
import sys
class dubinsUAV():
def __init__(self, position, velocity, heading, dt=0.1):
self.velocity = velocity
self.turnRateLimited = True
self.v = vel... | true | true |
f7422ac4ee31436492783881d897dc14998a4159 | 722 | py | Python | app/core/migrations/0006_auto_20200413_0905.py | SkroX/TravelAlly-Backend | cb46204d44e71e39f4de1f593c91285677822a38 | [
"MIT"
] | null | null | null | app/core/migrations/0006_auto_20200413_0905.py | SkroX/TravelAlly-Backend | cb46204d44e71e39f4de1f593c91285677822a38 | [
"MIT"
] | null | null | null | app/core/migrations/0006_auto_20200413_0905.py | SkroX/TravelAlly-Backend | cb46204d44e71e39f4de1f593c91285677822a38 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.4 on 2020-04-13 09:05
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('core', '0005_trip'),
]
operations = [
migrations.AlterField(
m... | 27.769231 | 136 | 0.641274 |
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('core', '0005_trip'),
]
operations = [
migrations.AlterField(
model_name='trip',
name='extra_peopl... | true | true |
f7422bb099822402bc498ed27403c18b2eeec166 | 614 | py | Python | dim/dim/errors.py | D3luxee/dim | 14226db6006a14bddb6f6027f33f26a241bcb348 | [
"MIT"
] | null | null | null | dim/dim/errors.py | D3luxee/dim | 14226db6006a14bddb6f6027f33f26a241bcb348 | [
"MIT"
] | null | null | null | dim/dim/errors.py | D3luxee/dim | 14226db6006a14bddb6f6027f33f26a241bcb348 | [
"MIT"
] | null | null | null | class DimError(Exception):
code = 1
error_types = dict(
InvalidPoolError=2,
InvalidIPError=3,
InvalidVLANError=4,
InvalidStatusError=5,
InvalidPriorityError=6,
InvalidGroupError=7,
InvalidUserError=8,
InvalidAccessRightError=9,
InvalidZoneError=10,
InvalidViewError=11,
... | 23.615385 | 61 | 0.710098 | class DimError(Exception):
code = 1
error_types = dict(
InvalidPoolError=2,
InvalidIPError=3,
InvalidVLANError=4,
InvalidStatusError=5,
InvalidPriorityError=6,
InvalidGroupError=7,
InvalidUserError=8,
InvalidAccessRightError=9,
InvalidZoneError=10,
InvalidViewError=11,
... | true | true |
f7422be2928f7e893987a70a71df567a2d61e2ad | 1,097 | py | Python | Python/_vrconv/main.py | arigo/vr-sketch-3 | 97491e40476278cd6d487f2516b12a3d9db84c2d | [
"MIT"
] | null | null | null | Python/_vrconv/main.py | arigo/vr-sketch-3 | 97491e40476278cd6d487f2516b12a3d9db84c2d | [
"MIT"
] | null | null | null | Python/_vrconv/main.py | arigo/vr-sketch-3 | 97491e40476278cd6d487f2516b12a3d9db84c2d | [
"MIT"
] | null | null | null | import os
import argparse
from model import Face
def find_module(filename):
ext = os.path.splitext(filename)[1].lower()
if ext == '.vrsketch':
from _vrconv import vrsketch as result_module
elif ext == '.skp':
from _vrconv import sketchup as result_module
else:
raise ValueError(... | 31.342857 | 84 | 0.66454 | import os
import argparse
from model import Face
def find_module(filename):
ext = os.path.splitext(filename)[1].lower()
if ext == '.vrsketch':
from _vrconv import vrsketch as result_module
elif ext == '.skp':
from _vrconv import sketchup as result_module
else:
raise ValueError(... | false | true |
f7422c1ec6a44f76adbbbf2f72cc38ba90ad2fb4 | 5,393 | py | Python | Windows_v1.py | e-bookd/e-BookD | 850d9e8ef3a2752224ed0a1886359bc52579af8a | [
"Apache-2.0"
] | 3 | 2021-04-03T16:02:21.000Z | 2021-04-06T09:32:39.000Z | Windows_v1.py | rrosajp/webPDFsaver | 36100c378500ab1c773b37487b55685a6c006165 | [
"Apache-2.0"
] | 1 | 2021-04-05T06:56:08.000Z | 2021-04-05T06:59:18.000Z | Windows_v1.py | rrosajp/webPDFsaver | 36100c378500ab1c773b37487b55685a6c006165 | [
"Apache-2.0"
] | 3 | 2021-03-31T11:32:55.000Z | 2021-04-10T08:01:34.000Z | # Web PDF Saver (Standard GUI-Windows). Liscensed under Apache License 2.0.
# Release v1.0
# Not in standard library- img2pdf, pyautogui, PIL
import img2pdf
import time
import tkinter as tk
from PIL import ImageGrab
import pyautogui
import os
#Main window creation
# Top level window
frame = tk.Tk()
... | 25.083721 | 175 | 0.683293 |
import img2pdf
import time
import tkinter as tk
from PIL import ImageGrab
import pyautogui
import os
frame = tk.Tk()
frame.title("Screenshot PDF maker")
frame.geometry('400x400')
frame.wm_attributes('-alpha',1)
def makeTrans():
frame.update()
frame.wm_attributes('-alpha',0.3)
frame.upda... | true | true |
f7422cb93d22840b78c03976591b22aeaae716be | 1,030 | py | Python | stackoverflowRecommender/apps.py | frozencure/recommender-website | 33d2863c91ee15b007143d71c6d7db8d6918b4fa | [
"Apache-2.0"
] | null | null | null | stackoverflowRecommender/apps.py | frozencure/recommender-website | 33d2863c91ee15b007143d71c6d7db8d6918b4fa | [
"Apache-2.0"
] | null | null | null | stackoverflowRecommender/apps.py | frozencure/recommender-website | 33d2863c91ee15b007143d71c6d7db8d6918b4fa | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import os
from django.apps import AppConfig
class StackoverflowrecommenderConfig(AppConfig):
name = 'stackoverflowRecommender'
def __init__(self, app_name, app_module):
super(StackoverflowrecommenderConfig, self).__init__(app_name, app_mo... | 38.148148 | 114 | 0.664078 |
from __future__ import unicode_literals
import os
from django.apps import AppConfig
class StackoverflowrecommenderConfig(AppConfig):
name = 'stackoverflowRecommender'
def __init__(self, app_name, app_module):
super(StackoverflowrecommenderConfig, self).__init__(app_name, app_module)
... | true | true |
f7422cbf0a0214cf992c3b5195fa542f32bdf022 | 3,816 | py | Python | telesurscraper/spiders/articles.py | dreglad/telesur-scraper | 3a2ba8d8c2b89ded24cb34e3f06f8ef88b3823f8 | [
"MIT"
] | 1 | 2020-03-21T22:45:37.000Z | 2020-03-21T22:45:37.000Z | telesurscraper/spiders/articles.py | dreglad/telesur-scraper | 3a2ba8d8c2b89ded24cb34e3f06f8ef88b3823f8 | [
"MIT"
] | null | null | null | telesurscraper/spiders/articles.py | dreglad/telesur-scraper | 3a2ba8d8c2b89ded24cb34e3f06f8ef88b3823f8 | [
"MIT"
] | null | null | null | from datetime import datetime
from html import unescape
import logging
from dateutil.parser import parse as parse_date
import htmlmin
from scrapy import Request
from scrapy.spiders import Spider, CrawlSpider, Rule
from scrapy.linkextractors import LinkExtractor
from scrapy.loader.processors import TakeFirst, MapCompos... | 34.378378 | 135 | 0.690514 | from datetime import datetime
from html import unescape
import logging
from dateutil.parser import parse as parse_date
import htmlmin
from scrapy import Request
from scrapy.spiders import Spider, CrawlSpider, Rule
from scrapy.linkextractors import LinkExtractor
from scrapy.loader.processors import TakeFirst, MapCompos... | true | true |
f7422db374b82c26cb0141b5f92ca781c4f23d19 | 24,148 | py | Python | tests/fib/test_fib.py | stephengao-ragilenetworks/sonic-mgmt | b7ce8f6592f12ee8a7a0daca9a4337d5eaf9313f | [
"Apache-2.0"
] | 1 | 2020-10-15T05:52:17.000Z | 2020-10-15T05:52:17.000Z | tests/fib/test_fib.py | stephengao-ragilenetworks/sonic-mgmt | b7ce8f6592f12ee8a7a0daca9a4337d5eaf9313f | [
"Apache-2.0"
] | null | null | null | tests/fib/test_fib.py | stephengao-ragilenetworks/sonic-mgmt | b7ce8f6592f12ee8a7a0daca9a4337d5eaf9313f | [
"Apache-2.0"
] | null | null | null | import time
import json
import logging
import tempfile
import random
from datetime import datetime
import pytest
import requests
from tests.common.fixtures.ptfhost_utils import run_icmp_responder # lgtm[py/unused-import]
from tests.common.fixtures.ptfhost_utils import copy_ptftests_directory # lgtm[py/u... | 41.278632 | 150 | 0.586343 | import time
import json
import logging
import tempfile
import random
from datetime import datetime
import pytest
import requests
from tests.common.fixtures.ptfhost_utils import run_icmp_responder
from tests.common.fixtures.ptfhost_utils import copy_ptftests_directory
from tests.common.fixtures.ptfhost... | true | true |
f7422dd9b332918b8e4e4d575042b64014d82f5f | 49,058 | py | Python | Lib/threading.py | Ian-Foote/cpython | 793cf3da645cc67989ee7376c66b7859005dd938 | [
"PSF-2.0"
] | 1 | 2015-10-15T01:25:33.000Z | 2015-10-15T01:25:33.000Z | Lib/threading.py | Ian-Foote/cpython | 793cf3da645cc67989ee7376c66b7859005dd938 | [
"PSF-2.0"
] | null | null | null | Lib/threading.py | Ian-Foote/cpython | 793cf3da645cc67989ee7376c66b7859005dd938 | [
"PSF-2.0"
] | null | null | null | """Thread module emulating a subset of Java's threading model."""
import sys as _sys
import _thread
from time import monotonic as _time
from traceback import format_exc as _format_exc
from _weakrefset import WeakSet
from itertools import islice as _islice
try:
from _collections import deque as _deque
except Impor... | 35.992663 | 101 | 0.624873 |
import sys as _sys
import _thread
from time import monotonic as _time
from traceback import format_exc as _format_exc
from _weakrefset import WeakSet
from itertools import islice as _islice
try:
from _collections import deque as _deque
except ImportError:
from collections import deque as _deque
# Jav... | true | true |
f74230076b952b4e8ac5d38d2184e3461ad32237 | 521 | py | Python | proj/models.py | lucasviei/Projeto-Estagio | bbceb65305b6c8b28d301be4e7fcd3455a279fcf | [
"MIT"
] | null | null | null | proj/models.py | lucasviei/Projeto-Estagio | bbceb65305b6c8b28d301be4e7fcd3455a279fcf | [
"MIT"
] | null | null | null | proj/models.py | lucasviei/Projeto-Estagio | bbceb65305b6c8b28d301be4e7fcd3455a279fcf | [
"MIT"
] | null | null | null | from django.db import models
from django.contrib.auth.models import User
# Create your models here.
class Acervo(models.Model):
tipoObra = models.CharField(max_length=11)
tituloObra = models.CharField(max_length=20)
description = models.TextField()
begin_date = models.DateField(auto_now_add=True)
a... | 27.421053 | 60 | 0.71977 | from django.db import models
from django.contrib.auth.models import User
class Acervo(models.Model):
tipoObra = models.CharField(max_length=11)
tituloObra = models.CharField(max_length=20)
description = models.TextField()
begin_date = models.DateField(auto_now_add=True)
active = models.BooleanFiel... | true | true |
f742316cf6026b42f23c3604bd3924b05febb262 | 1,973 | py | Python | Sketches/JL/test_Internet/test_MulticastTransceiverSystem.py | sparkslabs/kamaelia_orig | 24b5f855a63421a1f7c6c7a35a7f4629ed955316 | [
"Apache-2.0"
] | 12 | 2015-10-20T10:22:01.000Z | 2021-07-19T10:09:44.000Z | Sketches/JL/test_Internet/test_MulticastTransceiverSystem.py | sparkslabs/kamaelia_orig | 24b5f855a63421a1f7c6c7a35a7f4629ed955316 | [
"Apache-2.0"
] | 2 | 2015-10-20T10:22:55.000Z | 2017-02-13T11:05:25.000Z | Sketches/JL/test_Internet/test_MulticastTransceiverSystem.py | sparkslabs/kamaelia_orig | 24b5f855a63421a1f7c6c7a35a7f4629ed955316 | [
"Apache-2.0"
] | 6 | 2015-03-09T12:51:59.000Z | 2020-03-01T13:06:21.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Basic acceptance test harness for the Multicast_sender and receiver
# components.
#
# Copyright 2010 British Broadcasting Corporation and Kamaelia Contributors(1)
#
# (1) Kamaelia Contributors are listed in the AUTHORS file and at
# http://www.kamaelia.org/AUTHORS - ple... | 32.344262 | 80 | 0.708566 |
import socket
import Axon
def tests():
from Axon.Scheduler import scheduler
from Kamaelia.Util.Console import ConsoleEchoer
from Kamaelia.Util.Chargen import Chargen
from Kamaelia.Internet.Multicast_sender import Multicast_sender
from Kamaelia.Internet.Multicast_receiver impor... | false | true |
f74231ee4316ebf339b9a91a03df0d307485d59f | 6,249 | py | Python | sacd/agent/sacd.py | lucifer2859/sac-discrete-pytorch | c6f367d95bdc5cee8b3d6e5a01172bb99af5b171 | [
"MIT"
] | null | null | null | sacd/agent/sacd.py | lucifer2859/sac-discrete-pytorch | c6f367d95bdc5cee8b3d6e5a01172bb99af5b171 | [
"MIT"
] | null | null | null | sacd/agent/sacd.py | lucifer2859/sac-discrete-pytorch | c6f367d95bdc5cee8b3d6e5a01172bb99af5b171 | [
"MIT"
] | 1 | 2021-01-11T11:48:31.000Z | 2021-01-11T11:48:31.000Z | import os
import numpy as np
import torch
from torch.optim import Adam
from .base import BaseAgent
from sacd.model import TwinnedQNetwork, CategoricalPolicy
from sacd.utils import disable_gradients
# If you want to use Prioritized Experience Replay(PER), N-step return
# or Dueling Networks, change use_per, multi_ste... | 40.843137 | 79 | 0.649384 | import os
import numpy as np
import torch
from torch.optim import Adam
from .base import BaseAgent
from sacd.model import TwinnedQNetwork, CategoricalPolicy
from sacd.utils import disable_gradients
class SacdAgent(BaseAgent):
def __init__(self, env, test_env, log_dir, num_steps=100000, batch_size=64,
... | true | true |
f7423216377ad5bfde584d5cb77fe45743ddf5a1 | 1,683 | py | Python | vocoder/inference_wavrnn.py | freenowill/autoVC-WavRNN | 871a7ae5671e81fe4396cbc6f89a90009b01049b | [
"MIT"
] | null | null | null | vocoder/inference_wavrnn.py | freenowill/autoVC-WavRNN | 871a7ae5671e81fe4396cbc6f89a90009b01049b | [
"MIT"
] | null | null | null | vocoder/inference_wavrnn.py | freenowill/autoVC-WavRNN | 871a7ae5671e81fe4396cbc6f89a90009b01049b | [
"MIT"
] | null | null | null | from vocoder.models.fatchord_version import WaveRNN
from vocoder import hparams as hp
import torch
_model = None # type: WaveRNN
def load_model(weights_fpath, verbose=True):
global _model
if verbose:
print("Building Wave-RNN")
_model = WaveRNN(
rnn_dims=hp.voc_rnn_dims... | 28.525424 | 95 | 0.636364 | from vocoder.models.fatchord_version import WaveRNN
from vocoder import hparams as hp
import torch
_model = None
def load_model(weights_fpath, verbose=True):
global _model
if verbose:
print("Building Wave-RNN")
_model = WaveRNN(
rnn_dims=hp.voc_rnn_dims,
fc_di... | true | true |
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