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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
c8aff4b9ed8b3817acf62ab9957b73694d696793 | 2,494 | py | Python | tests/modules/embedders/test_trainable_word_embedder.py | sean-dingxu/sciwing | 75eca1ea43be165eab20cf8bd81bbc19cecda74c | [
"MIT"
] | 50 | 2019-09-13T10:32:29.000Z | 2022-02-14T16:52:53.000Z | tests/modules/embedders/test_trainable_word_embedder.py | sean-dingxu/sciwing | 75eca1ea43be165eab20cf8bd81bbc19cecda74c | [
"MIT"
] | 31 | 2019-09-03T11:06:03.000Z | 2021-08-20T14:57:09.000Z | tests/modules/embedders/test_trainable_word_embedder.py | sean-dingxu/sciwing | 75eca1ea43be165eab20cf8bd81bbc19cecda74c | [
"MIT"
] | 9 | 2019-09-16T03:25:15.000Z | 2021-05-11T10:28:25.000Z | import pytest
import sciwing.constants as constants
import pathlib
from sciwing.datasets.seq_labeling.seq_labelling_dataset import (
SeqLabellingDatasetManager,
)
from sciwing.utils.common import chunks
from sciwing.modules.embedders.trainable_word_embedder import TrainableWordEmbedder
import torch
from sciwing.uti... | 34.638889 | 86 | 0.744988 |
c8aff8de0a0aa97674c5cb7a798fcadf80717342 | 875 | py | Python | test/vanilla/version-tolerant/Expected/AcceptanceTests/BodyByteVersionTolerant/bodybyteversiontolerant/__init__.py | cfculhane/autorest.python | 8cbca95faee88d933a58bbbd17b76834faa8d387 | [
"MIT"
] | null | null | null | test/vanilla/version-tolerant/Expected/AcceptanceTests/BodyByteVersionTolerant/bodybyteversiontolerant/__init__.py | cfculhane/autorest.python | 8cbca95faee88d933a58bbbd17b76834faa8d387 | [
"MIT"
] | null | null | null | test/vanilla/version-tolerant/Expected/AcceptanceTests/BodyByteVersionTolerant/bodybyteversiontolerant/__init__.py | cfculhane/autorest.python | 8cbca95faee88d933a58bbbd17b76834faa8d387 | [
"MIT"
] | 1 | 2022-03-28T08:58:03.000Z | 2022-03-28T08:58:03.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 43.75 | 114 | 0.661714 |
c8b0029f94a79d39821ee7697800669525a830bf | 5,188 | py | Python | pywinauto/taskbar.py | nimuston/pywinauto | 3f61f7dea13b2e5b1282d65d2ae8247aae00b06f | [
"BSD-3-Clause"
] | 1 | 2021-01-31T08:10:34.000Z | 2021-01-31T08:10:34.000Z | pywinauto/taskbar.py | nimuston/pywinauto | 3f61f7dea13b2e5b1282d65d2ae8247aae00b06f | [
"BSD-3-Clause"
] | null | null | null | pywinauto/taskbar.py | nimuston/pywinauto | 3f61f7dea13b2e5b1282d65d2ae8247aae00b06f | [
"BSD-3-Clause"
] | null | null | null | # GUI Application automation and testing library
# Copyright (C) 2006-2016 Mark Mc Mahon and Contributors
# https://github.com/pywinauto/pywinauto/graphs/contributors
# http://pywinauto.github.io/docs/credits.html
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# mod... | 45.113043 | 108 | 0.761565 |
c8b004c5c5dfa131682440bc6a68c4fe5e14e5ab | 2,035 | py | Python | funcBlasiBranca.py | Lyle-zhang/kinetic_schemes | dc572bd1eedfddb871767573724cadddc57db76d | [
"MIT"
] | 1 | 2021-12-27T11:14:58.000Z | 2021-12-27T11:14:58.000Z | funcBlasiBranca.py | Lyle-zhang/kinetic_schemes | dc572bd1eedfddb871767573724cadddc57db76d | [
"MIT"
] | null | null | null | funcBlasiBranca.py | Lyle-zhang/kinetic_schemes | dc572bd1eedfddb871767573724cadddc57db76d | [
"MIT"
] | 1 | 2021-08-14T13:40:24.000Z | 2021-08-14T13:40:24.000Z | """
Function based on Blasi 2001 kinetic reaction scheme for biomass pyrolysis.
Reactions are evaluated at some temperature.
Reference:
Blasi, Branca, 2001. Ind. Eng. Chem. Res., 40, pp.5547-5556.
"""
# Modules
# -----------------------------------------------------------------------------
import numpy as np
# Fun... | 33.360656 | 79 | 0.482555 |
c8b02fd10190f590c03cc5d09a25be35e593ca9b | 32,419 | py | Python | sphinxcontrib/confluencebuilder/builder.py | hedgetech/confluencebuilder | bc60b4c55c9ad3d8d36dff89d80df7d3d5666229 | [
"BSD-2-Clause"
] | null | null | null | sphinxcontrib/confluencebuilder/builder.py | hedgetech/confluencebuilder | bc60b4c55c9ad3d8d36dff89d80df7d3d5666229 | [
"BSD-2-Clause"
] | null | null | null | sphinxcontrib/confluencebuilder/builder.py | hedgetech/confluencebuilder | bc60b4c55c9ad3d8d36dff89d80df7d3d5666229 | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
:copyright: Copyright 2016-2020 by the contributors (see AUTHORS file).
:license: BSD-2-Clause, see LICENSE for details.
"""
from __future__ import absolute_import
from __future__ import print_function
from __future__ import unicode_literals
from .assets import ConfluenceAssetManage... | 41.562821 | 81 | 0.602455 |
c8b03ba2467043368658992a83002bf33635d31d | 5,950 | py | Python | salt/pillar/mongo.py | gotcha/salt | 7b84c704777d3d2062911895dc3fdf93d40e9848 | [
"Apache-2.0"
] | 1 | 2016-07-07T18:43:05.000Z | 2016-07-07T18:43:05.000Z | salt/pillar/mongo.py | gotcha/salt | 7b84c704777d3d2062911895dc3fdf93d40e9848 | [
"Apache-2.0"
] | null | null | null | salt/pillar/mongo.py | gotcha/salt | 7b84c704777d3d2062911895dc3fdf93d40e9848 | [
"Apache-2.0"
] | 1 | 2020-12-04T11:28:06.000Z | 2020-12-04T11:28:06.000Z | '''
Read pillar data from a mongodb collection.
This module will load a node-specific pillar dictionary from a mongo
collection. It uses the node's id for lookups and can load either the whole
document, or just a specific field from that
document as the pillar dictionary.
Salt Master Mongo Configuration
=============... | 36.956522 | 121 | 0.644874 |
c8b0c19c63396e4d1a40d3e3c590cdac8d0e57ac | 302 | py | Python | api/users/urls.py | dplorimer/osf | 9f3f400f62dc7bde18532949ed35bf1d3f6ec3d6 | [
"Apache-2.0"
] | null | null | null | api/users/urls.py | dplorimer/osf | 9f3f400f62dc7bde18532949ed35bf1d3f6ec3d6 | [
"Apache-2.0"
] | null | null | null | api/users/urls.py | dplorimer/osf | 9f3f400f62dc7bde18532949ed35bf1d3f6ec3d6 | [
"Apache-2.0"
] | null | null | null | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^$', views.UserList.as_view(), name='user-list'),
url(r'^(?P<user_id>\w+)/$', views.UserDetail.as_view(), name='user-detail'),
url(r'^(?P<user_id>\w+)/nodes/$', views.UserNodes.as_view(), name='user-nodes'),
]
| 23.230769 | 84 | 0.629139 |
c8b0d347d69410cd306c97cffd9471253ff284e9 | 24,134 | py | Python | dapper/stats.py | myying/DAPPER | 2f92fcb5610f9b2d44bb077ac5ed5438ac5fd6b3 | [
"MIT"
] | 1 | 2022-01-03T19:08:32.000Z | 2022-01-03T19:08:32.000Z | dapper/stats.py | myying/DAPPER | 2f92fcb5610f9b2d44bb077ac5ed5438ac5fd6b3 | [
"MIT"
] | null | null | null | dapper/stats.py | myying/DAPPER | 2f92fcb5610f9b2d44bb077ac5ed5438ac5fd6b3 | [
"MIT"
] | null | null | null | """Stats computation for the assessment of DA methods."""
import warnings
import numpy as np
import scipy.linalg as sla
import struct_tools
from matplotlib import pyplot as plt
from patlib.std import do_once
from tabulate import tabulate
import dapper.tools.liveplotting as liveplotting
import dapper.tools.series as ... | 35.543446 | 88 | 0.544543 |
c8b0dd62970e341a3c6b176278fe1c2adfcd8d20 | 3,792 | py | Python | tensorflow/contrib/estimator/python/estimator/logit_fns.py | tianyapiaozi/tensorflow | fb3ce0467766a8e91f1da0ad7ada7c24fde7a73a | [
"Apache-2.0"
] | 71 | 2017-05-25T16:02:15.000Z | 2021-06-09T16:08:08.000Z | tensorflow/contrib/estimator/python/estimator/logit_fns.py | shrikunjsarda/tensorflow | 7e8927e7af0c51ac20a63bd4eab6ff83df1a39ae | [
"Apache-2.0"
] | 133 | 2017-04-26T16:49:49.000Z | 2019-10-15T11:39:26.000Z | tensorflow/contrib/estimator/python/estimator/logit_fns.py | shrikunjsarda/tensorflow | 7e8927e7af0c51ac20a63bd4eab6ff83df1a39ae | [
"Apache-2.0"
] | 31 | 2018-09-11T02:17:17.000Z | 2021-12-15T10:33:35.000Z | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 39.092784 | 80 | 0.726793 |
c8b11edc34b966b073fe8813f17648f2425143fc | 1,907 | py | Python | Test.py | BaiganKing/DecisionTree-From-Scratch | 41a82305d6a3bf31a01270443d34662205d80a36 | [
"MIT"
] | null | null | null | Test.py | BaiganKing/DecisionTree-From-Scratch | 41a82305d6a3bf31a01270443d34662205d80a36 | [
"MIT"
] | null | null | null | Test.py | BaiganKing/DecisionTree-From-Scratch | 41a82305d6a3bf31a01270443d34662205d80a36 | [
"MIT"
] | null | null | null | from DecisionTree import DecisionTree as dt
from sklearn.model_selection import train_test_split
from sklearn.datasets import load_iris
def accuracy(prediction, actual):
"""
:param prediction:
:param actual:
:return accuaracy:
Simple function to compute raw accuaracy score quick comparis... | 31.262295 | 94 | 0.68904 |
c8b1245709af9f50cf39de74ccd175cd517f2663 | 2,032 | py | Python | data_manager/datasets.py | Howe-Young/asc_triplet | 12a018e6fd14c61ffedc87c8609b128e28c51d8d | [
"MIT"
] | 7 | 2019-01-08T11:02:50.000Z | 2021-01-12T14:16:51.000Z | data_manager/datasets.py | Howe-Young/asc_triplet | 12a018e6fd14c61ffedc87c8609b128e28c51d8d | [
"MIT"
] | 4 | 2019-01-08T12:47:58.000Z | 2019-01-09T12:18:54.000Z | data_manager/datasets.py | Howe-Young/asc_triplet | 12a018e6fd14c61ffedc87c8609b128e28c51d8d | [
"MIT"
] | 6 | 2019-01-04T14:13:47.000Z | 2020-06-17T07:48:17.000Z | import numpy as np
from torch.utils.data import Dataset
from data_manager.data_prepare import Dcase18TaskbData
from data_manager.dcase17_manager import Dcase17Data
from data_manager.dcase17_stdrizer import Dcase17Standarizer
"""
implement datasets class
"""
class DevSet(Dataset):
"""
specify mode and device,... | 33.311475 | 99 | 0.676673 |
c8b13c2f2e5df245b72be94b426f91c197f3385b | 876 | py | Python | tests/conftest.py | dorosch/django-readonly-model | 991836e47ab97c0c19d0f25a14cc64ea24b9506f | [
"MIT"
] | null | null | null | tests/conftest.py | dorosch/django-readonly-model | 991836e47ab97c0c19d0f25a14cc64ea24b9506f | [
"MIT"
] | null | null | null | tests/conftest.py | dorosch/django-readonly-model | 991836e47ab97c0c19d0f25a14cc64ea24b9506f | [
"MIT"
] | null | null | null | from django import conf
from readonly_model import settings
def pytest_configure():
conf.settings.configure(
DATABASES={
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': ':memory:'
}
},
SECRET_KEY='not need secret key in ... | 29.2 | 70 | 0.568493 |
c8b173b577af871d6a9bf4dd7f945adcfcdbf02f | 310 | py | Python | humidity_sensor.py | bilaleluneis/RaspberryPiRainbowHat | d3cec27c1be3fdf0243ba1e9640c87039b21c9f6 | [
"MIT"
] | null | null | null | humidity_sensor.py | bilaleluneis/RaspberryPiRainbowHat | d3cec27c1be3fdf0243ba1e9640c87039b21c9f6 | [
"MIT"
] | null | null | null | humidity_sensor.py | bilaleluneis/RaspberryPiRainbowHat | d3cec27c1be3fdf0243ba1e9640c87039b21c9f6 | [
"MIT"
] | null | null | null | from Adafruit_DHT import read_retry, DHT11
from time import sleep
def main():
while True:
humidity, temp = read_retry(DHT11, 18)
if humidity is not None:
print("Current Humidity={}% and temp={}".format(humidity, temp))
sleep(2)
if __name__ == "__main__":
main()
| 20.666667 | 76 | 0.622581 |
c8b1764eb2d887c8f0d30d01b81ea0212b3d0f40 | 1,390 | py | Python | cleverhans/utils_mnist.py | iamgroot42/cleverhans | 53da9cd6daf9d7457800831c3eaa75f729a39145 | [
"MIT"
] | 21 | 2019-06-07T17:05:30.000Z | 2022-02-07T03:25:15.000Z | cleverhans/utils_mnist.py | iamgroot42/cleverhans | 53da9cd6daf9d7457800831c3eaa75f729a39145 | [
"MIT"
] | 7 | 2019-12-16T22:20:01.000Z | 2022-02-10T00:45:21.000Z | cleverhans/utils_mnist.py | iamgroot42/cleverhans | 53da9cd6daf9d7457800831c3eaa75f729a39145 | [
"MIT"
] | 8 | 2019-06-11T03:06:29.000Z | 2022-01-18T04:18:27.000Z | # pylint: disable=missing-docstring
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import os
import tempfile
import warnings
from cleverhans import dataset
utils_mnist_warning = "cleverhans.utils_mnist is deprecrate... | 35.641026 | 76 | 0.692086 |
c8b18f522ca691d7014cd7f30d0095ea5463d68e | 551 | py | Python | terrascript/resource/alertmixer/amixr.py | mjuenema/python-terrascript | 6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d | [
"BSD-2-Clause"
] | 507 | 2017-07-26T02:58:38.000Z | 2022-01-21T12:35:13.000Z | terrascript/resource/alertmixer/amixr.py | mjuenema/python-terrascript | 6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d | [
"BSD-2-Clause"
] | 135 | 2017-07-20T12:01:59.000Z | 2021-10-04T22:25:40.000Z | terrascript/resource/alertmixer/amixr.py | mjuenema/python-terrascript | 6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d | [
"BSD-2-Clause"
] | 81 | 2018-02-20T17:55:28.000Z | 2022-01-31T07:08:40.000Z | # terrascript/resource/alertmixer/amixr.py
# Automatically generated by tools/makecode.py (24-Sep-2021 15:11:40 UTC)
import terrascript
class amixr_escalation(terrascript.Resource):
pass
class amixr_integration(terrascript.Resource):
pass
class amixr_on_call_shift(terrascript.Resource):
pass
class a... | 16.69697 | 73 | 0.745917 |
c8b190d9bc250279d338c2c90ea215df043082ad | 2,355 | py | Python | tests/test_fci-h2o-2.py | nuwandesilva/qcdb | b47fb2ed550fc4176198ddb1dbea3724d6704d23 | [
"BSD-3-Clause"
] | null | null | null | tests/test_fci-h2o-2.py | nuwandesilva/qcdb | b47fb2ed550fc4176198ddb1dbea3724d6704d23 | [
"BSD-3-Clause"
] | null | null | null | tests/test_fci-h2o-2.py | nuwandesilva/qcdb | b47fb2ed550fc4176198ddb1dbea3724d6704d23 | [
"BSD-3-Clause"
] | null | null | null | from .addons import using_psi4, using_gamess
from .utils import *
import qcdb
_refnuc = 9.2342185209120
_refscf = -75.985323665263
_refci = -76.1210978474779
_refcorr = _refci - _refscf
def system_water():
h2o = qcdb.set_molecule("""
O .0000000000 .0000000000 -.0742719254
H... | 35.149254 | 109 | 0.687049 |
c8b195676a96cf31df1d6bb5fc363f0eb31619a2 | 17,088 | py | Python | radiospectra/sources/callisto.py | binchensun/radiospectra | 487fd4d25926378ffa0ce391b4a239506a3686a2 | [
"BSD-2-Clause"
] | null | null | null | radiospectra/sources/callisto.py | binchensun/radiospectra | 487fd4d25926378ffa0ce391b4a239506a3686a2 | [
"BSD-2-Clause"
] | null | null | null | radiospectra/sources/callisto.py | binchensun/radiospectra | 487fd4d25926378ffa0ce391b4a239506a3686a2 | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function
import datetime
from collections import defaultdict
from distutils.version import LooseVersion
import numpy as np
from bs4 import BeautifulSoup
from scipy.ndimage import gaussian_filter1d
from scipy.optimize import leastsq
from ... | 31.527675 | 92 | 0.582104 |
c8b1bf3451645724b2d225bc2a2e84ea45907362 | 2,196 | py | Python | src/transformer/matrix.py | alexchueshev/icsme2020 | 05a1e2cb52eee8d810e5ff8820fbd78937973620 | [
"MIT"
] | null | null | null | src/transformer/matrix.py | alexchueshev/icsme2020 | 05a1e2cb52eee8d810e5ff8820fbd78937973620 | [
"MIT"
] | null | null | null | src/transformer/matrix.py | alexchueshev/icsme2020 | 05a1e2cb52eee8d810e5ff8820fbd78937973620 | [
"MIT"
] | 1 | 2020-08-27T12:05:54.000Z | 2020-08-27T12:05:54.000Z | from typing import TYPE_CHECKING
from abc import abstractmethod
import numpy as np
from sklearn.base import BaseEstimator, TransformerMixin
from scipy.sparse import coo_matrix
if TYPE_CHECKING:
from pandas import DataFrame
class _MatrixTransformer(BaseEstimator, TransformerMixin):
def __init__(self, dims: t... | 28.153846 | 84 | 0.634791 |
c8b200ef8c35b48c447c0dd00485616901944e3b | 7,069 | py | Python | KristaBackup/core/actions/movebkpperiod.py | javister/krista-backup | f8852c20afdf483e842ff22497bdd80eedc30c78 | [
"Apache-2.0"
] | 7 | 2020-07-28T06:53:02.000Z | 2022-03-18T05:23:03.000Z | KristaBackup/core/actions/movebkpperiod.py | javister/krista-backup | f8852c20afdf483e842ff22497bdd80eedc30c78 | [
"Apache-2.0"
] | 1 | 2020-11-25T16:13:26.000Z | 2020-11-25T16:13:26.000Z | KristaBackup/core/actions/movebkpperiod.py | javister/krista-backup | f8852c20afdf483e842ff22497bdd80eedc30c78 | [
"Apache-2.0"
] | 1 | 2020-07-28T13:47:09.000Z | 2020-07-28T13:47:09.000Z | # -*- coding: UTF-8 -*-
import os
import shutil
import functools
import re
from lib.crontex import CronExpression
from common.YamlConfig import AppConfig
from .action import Action
from .decorators import side_effecting
from .mixins import WalkAppierMixin
class MoveBkpPeriod(Action, WalkAppierMixin):
"""Выполн... | 31.699552 | 89 | 0.526524 |
c8b233357070eff6ee59660ec06c72fdb18fe45f | 9,090 | py | Python | tests/ext/aiohttp/test_middleware.py | musicinmybrain/aws-xray-sdk-python | b8e59423f1891351ceb1a0bd585603e0cd46c74c | [
"Apache-2.0"
] | 294 | 2017-10-10T19:01:04.000Z | 2022-03-18T15:52:19.000Z | tests/ext/aiohttp/test_middleware.py | musicinmybrain/aws-xray-sdk-python | b8e59423f1891351ceb1a0bd585603e0cd46c74c | [
"Apache-2.0"
] | 285 | 2017-10-20T09:27:21.000Z | 2022-03-29T15:33:45.000Z | tests/ext/aiohttp/test_middleware.py | musicinmybrain/aws-xray-sdk-python | b8e59423f1891351ceb1a0bd585603e0cd46c74c | [
"Apache-2.0"
] | 134 | 2017-10-11T13:55:17.000Z | 2022-03-23T07:21:17.000Z | """
Tests the middleware for aiohttp server
Expects pytest-aiohttp
"""
import asyncio
from aws_xray_sdk import global_sdk_config
from unittest.mock import patch
from aiohttp import web
from aiohttp.web_exceptions import HTTPUnauthorized
import pytest
from aws_xray_sdk.core.emitters.udp_emitter import UDPEmitter
from... | 29.705882 | 92 | 0.671617 |
c8b26721ed272b53a194ad3de5553fe52b516997 | 17,026 | py | Python | programs/maya/scripts/rig/modules/foot.py | nicklovin/pipeline | 4d8e042783321e5b0ed7b8a713a7db4d2cef9adb | [
"BSD-2-Clause"
] | null | null | null | programs/maya/scripts/rig/modules/foot.py | nicklovin/pipeline | 4d8e042783321e5b0ed7b8a713a7db4d2cef9adb | [
"BSD-2-Clause"
] | null | null | null | programs/maya/scripts/rig/modules/foot.py | nicklovin/pipeline | 4d8e042783321e5b0ed7b8a713a7db4d2cef9adb | [
"BSD-2-Clause"
] | null | null | null | import maya.cmds as cmds
from string import ascii_uppercase
from MasterRigger import basicTools as tool
from MasterRigger import attributeManipulation as attr
from MasterRigger import curve_assignment as crv
from MasterRigger import createNodeLibrary as node
reverse_foot_parts = ['bank_out', 'bank_in', 'heel', 'toe', ... | 43.994832 | 81 | 0.544461 |
c8b269edbc18bd20a23918155b546899385a1acc | 1,825 | py | Python | twisted/test/test_roots.py | sxamit/twisted | 30f6966329c857c3631c60aeb420d84d7828e01e | [
"MIT",
"Unlicense"
] | 1 | 2017-08-07T14:52:02.000Z | 2017-08-07T14:52:02.000Z | Lib/site-packages/twisted/test/test_roots.py | adzhou/Python27 | a7113b69d54a04cc780143241c2f1fe81939ad3a | [
"bzip2-1.0.6"
] | null | null | null | Lib/site-packages/twisted/test/test_roots.py | adzhou/Python27 | a7113b69d54a04cc780143241c2f1fe81939ad3a | [
"bzip2-1.0.6"
] | 1 | 2018-11-07T12:52:07.000Z | 2018-11-07T12:52:07.000Z | # Copyright (c) Twisted Matrix Laboratories.
# See LICENSE for details.
from __future__ import absolute_import, division
from twisted.trial import unittest
from twisted.python import roots
class RootsTests(unittest.TestCase):
def testExceptions(self):
request = roots.Request()
try:
r... | 28.515625 | 57 | 0.548493 |
c8b282c1a147eb75c07d51b73a08036032d8a36f | 14,997 | py | Python | src/olympia/ratings/models.py | shashwatsingh/addons-server | 8fce98901104349055a828b5a47865f5e8f4120b | [
"BSD-3-Clause"
] | 1 | 2020-11-15T20:06:40.000Z | 2020-11-15T20:06:40.000Z | src/olympia/ratings/models.py | shashwatsingh/addons-server | 8fce98901104349055a828b5a47865f5e8f4120b | [
"BSD-3-Clause"
] | 1,398 | 2020-10-08T06:32:26.000Z | 2022-03-31T12:06:24.000Z | src/olympia/ratings/models.py | shashwatsingh/addons-server | 8fce98901104349055a828b5a47865f5e8f4120b | [
"BSD-3-Clause"
] | 1 | 2020-06-04T10:18:59.000Z | 2020-06-04T10:18:59.000Z | from django.core.cache import cache
from django.db import models
from django.db.models import Q
from django.dispatch import receiver
from django.utils.translation import ugettext_lazy as _
import olympia.core.logger
from olympia import activity, amo
from olympia.amo.fields import PositiveAutoField
from olympia.amo.mo... | 38.257653 | 79 | 0.624658 |
c8b299c55ab584a5562971a8dd6c4806da93d71a | 1,361 | py | Python | ML/config1_PP.py | adamslab-ub/UAV-Noise-Experimental-Data-and-Modeling | 0127eff7541780b3c5c4dec1b6a1cd75cb59c745 | [
"MIT"
] | null | null | null | ML/config1_PP.py | adamslab-ub/UAV-Noise-Experimental-Data-and-Modeling | 0127eff7541780b3c5c4dec1b6a1cd75cb59c745 | [
"MIT"
] | null | null | null | ML/config1_PP.py | adamslab-ub/UAV-Noise-Experimental-Data-and-Modeling | 0127eff7541780b3c5c4dec1b6a1cd75cb59c745 | [
"MIT"
] | 2 | 2021-11-01T21:47:57.000Z | 2021-12-07T07:27:48.000Z | import torch
device = torch.device('cuda:0')
D_in = 8
D_invin = 80
D_invout = 30
D_out = 1
lr = 1e-5
dropout = 0.1
batch_size = 10
epochs = 200
Hidden_layer_size = 100
Num_layers = 5
weight_decay = 0#1e-5
# mono_loc=torch.cuda.FloatTensor([[0.642718009121920, -0.769149253898193, -1.99925545455873, 1.99747800231622], ... | 35.815789 | 113 | 0.657605 |
c8b2af96d2fe84d7ca65de888303c7d02d015bfa | 1,833 | py | Python | models/layers/Encoder.py | gamerDecathlete/NormalizingFlowsNMT | 5bff15058cad26c52002c026daa906b5aa8b894b | [
"MIT"
] | null | null | null | models/layers/Encoder.py | gamerDecathlete/NormalizingFlowsNMT | 5bff15058cad26c52002c026daa906b5aa8b894b | [
"MIT"
] | null | null | null | models/layers/Encoder.py | gamerDecathlete/NormalizingFlowsNMT | 5bff15058cad26c52002c026daa906b5aa8b894b | [
"MIT"
] | null | null | null | import torch.nn as nn
from torch.nn.utils.rnn import pad_packed_sequence, pack_padded_sequence
import torch
class Encoder(nn.Module):
"""Encodes a sequence of word embeddings"""
def __init__(self, input_size, hidden_size, num_layers=1, dropout=0.):
super(Encoder, self).__init__()
self.num_layer... | 44.707317 | 104 | 0.656301 |
c8b2c1d8693df15d9c1e28d1c728dbf456abbc3e | 745 | py | Python | office365/sharepoint/portal/SPSiteCreationRequest.py | stardust85/Office365-REST-Python-Client | cd369c607c7d137a000734e9c5e8f03ae3e3c603 | [
"MIT"
] | null | null | null | office365/sharepoint/portal/SPSiteCreationRequest.py | stardust85/Office365-REST-Python-Client | cd369c607c7d137a000734e9c5e8f03ae3e3c603 | [
"MIT"
] | null | null | null | office365/sharepoint/portal/SPSiteCreationRequest.py | stardust85/Office365-REST-Python-Client | cd369c607c7d137a000734e9c5e8f03ae3e3c603 | [
"MIT"
] | null | null | null | from office365.runtime.client_value_object import ClientValueObject
class SPSiteCreationRequest(ClientValueObject):
def __init__(self, title, url, owner=None):
self.Title = title
self.Url = url
self.WebTemplate = "SITEPAGEPUBLISHING#0"
self.Owner = owner
self.Lcid = 1033
... | 33.863636 | 76 | 0.692617 |
c8b2cdea1c31897280b8dd337955f5c3237778ac | 1,969 | py | Python | libs/parallel_utils.py | ConsultingMD/covid-data-model | f3d23f98eccca1ce33c7a11ab546e9aab5d0aa4d | [
"MIT"
] | 155 | 2020-03-18T13:23:42.000Z | 2022-03-19T23:57:10.000Z | libs/parallel_utils.py | ConsultingMD/covid-data-model | f3d23f98eccca1ce33c7a11ab546e9aab5d0aa4d | [
"MIT"
] | 418 | 2020-03-20T02:22:01.000Z | 2022-03-31T23:05:08.000Z | libs/parallel_utils.py | ConsultingMD/covid-data-model | f3d23f98eccca1ce33c7a11ab546e9aab5d0aa4d | [
"MIT"
] | 63 | 2020-03-19T07:04:23.000Z | 2022-02-25T13:51:26.000Z | import multiprocessing
import os
import platform
from typing import Callable, TypeVar, Iterable
from pandarallel import pandarallel
import pandas as pd
import structlog
_log = structlog.get_logger()
VISIBIBLE_PROGRESS_BAR = os.environ.get("PYSEIR_VERBOSITY") == "True"
pandarallel.initialize(progress_bar=VISIBIBLE_PR... | 38.607843 | 109 | 0.741493 |
c8b2d0b188bc0ea7c18ee9e395477211eb2f60cc | 364 | py | Python | ros/build/tl_detector/catkin_generated/pkg.develspace.context.pc.py | bryantravissmith/SelfDrivingCar-ND-Capstone | 58147b0b3977a918b2cf9f182c315c8dd7c041e2 | [
"MIT"
] | null | null | null | ros/build/tl_detector/catkin_generated/pkg.develspace.context.pc.py | bryantravissmith/SelfDrivingCar-ND-Capstone | 58147b0b3977a918b2cf9f182c315c8dd7c041e2 | [
"MIT"
] | 11 | 2020-01-28T23:13:19.000Z | 2022-03-12T00:10:25.000Z | ros/build/tl_detector/catkin_generated/pkg.develspace.context.pc.py | bryantravissmith/SelfDrivingCar-ND-Capstone | 58147b0b3977a918b2cf9f182c315c8dd7c041e2 | [
"MIT"
] | null | null | null | # generated from catkin/cmake/template/pkg.context.pc.in
CATKIN_PACKAGE_PREFIX = ""
PROJECT_PKG_CONFIG_INCLUDE_DIRS = "".split(';') if "" != "" else []
PROJECT_CATKIN_DEPENDS = "".replace(';', ' ')
PKG_CONFIG_LIBRARIES_WITH_PREFIX = "".split(';') if "" != "" else []
PROJECT_NAME = "tl_detector"
PROJECT_SPACE_DIR = "/ca... | 40.444444 | 68 | 0.700549 |
c8b2d0dd436e487e96d6b60f9501646c8fcb1185 | 7,585 | py | Python | posthog/api/team.py | PostHog/posthog-foss | ea18305bba5c49d3823ee2f304b0476a2f1addef | [
"MIT"
] | 58 | 2020-08-26T16:26:18.000Z | 2022-03-30T05:32:23.000Z | posthog/api/team.py | PostHog/posthog-foss | ea18305bba5c49d3823ee2f304b0476a2f1addef | [
"MIT"
] | 2 | 2021-01-12T14:25:06.000Z | 2021-08-28T04:45:33.000Z | posthog/api/team.py | PostHog/posthog-foss | ea18305bba5c49d3823ee2f304b0476a2f1addef | [
"MIT"
] | 13 | 2020-09-08T13:27:07.000Z | 2022-03-19T17:27:10.000Z | from typing import Any, Dict, List, Optional, Type, cast
from django.db import transaction
from django.shortcuts import get_object_or_404
from rest_framework import exceptions, permissions, request, response, serializers, viewsets
from rest_framework.decorators import action
from posthog.api.shared import TeamBasicSe... | 41.906077 | 121 | 0.661173 |
c8b2d295d26eac4b473ce142e529bb56ce185907 | 6,164 | py | Python | numeric_numpad.py | pmcloete/numpad | 5ab86ecd9d9d8778ba2807250219b78eab6d5df5 | [
"MIT"
] | null | null | null | numeric_numpad.py | pmcloete/numpad | 5ab86ecd9d9d8778ba2807250219b78eab6d5df5 | [
"MIT"
] | null | null | null | numeric_numpad.py | pmcloete/numpad | 5ab86ecd9d9d8778ba2807250219b78eab6d5df5 | [
"MIT"
] | null | null | null | import PySimpleGUI as sg
from PySimpleGUI.PySimpleGUI import DEFAULT_BASE64_ICON, DEFAULT_BASE64_ICON_16_BY_16, ICON_BUY_ME_A_COFFEE, InputText, set_global_icon
from themes import Themes
class Numpad:
"""Creates a numpad"""
def __init__(self):
"""Initialize the keypad"""
# GUI Instance
... | 39.012658 | 148 | 0.503569 |
c8b31169fd79c6e819bbe5eac890af099de15377 | 1,745 | py | Python | services/traction/acapy_wrapper/models/v10_credential_conn_free_offer_request.py | Open-Earth-Foundation/traction | 908b555a7f408a88541b7692d3730e37a297c919 | [
"Apache-2.0"
] | 12 | 2022-01-29T20:30:03.000Z | 2022-03-29T11:46:14.000Z | services/traction/acapy_wrapper/models/v10_credential_conn_free_offer_request.py | Open-Earth-Foundation/traction | 908b555a7f408a88541b7692d3730e37a297c919 | [
"Apache-2.0"
] | 38 | 2021-11-22T17:52:50.000Z | 2022-03-31T17:52:00.000Z | services/traction/acapy_wrapper/models/v10_credential_conn_free_offer_request.py | Open-Earth-Foundation/traction | 908b555a7f408a88541b7692d3730e37a297c919 | [
"Apache-2.0"
] | 9 | 2021-11-22T18:05:48.000Z | 2022-03-29T11:25:08.000Z | # coding: utf-8
from __future__ import annotations
from datetime import date, datetime # noqa: F401
import re # noqa: F401
from typing import Any, Dict, List, Optional # noqa: F401
from pydantic import AnyUrl, BaseModel, EmailStr, validator # noqa: F401
from acapy_wrapper.models.credential_preview import Credent... | 38.777778 | 197 | 0.741547 |
c8b322b3c832a88d5cf244fb45a09cad2c3e5a95 | 161,026 | py | Python | pandas/tests/tseries/offsets/test_offsets.py | chrisdonlan/pandas | af4e2ce19c9c0b89db4bc06d7730b68068c6aeae | [
"BSD-3-Clause"
] | null | null | null | pandas/tests/tseries/offsets/test_offsets.py | chrisdonlan/pandas | af4e2ce19c9c0b89db4bc06d7730b68068c6aeae | [
"BSD-3-Clause"
] | null | null | null | pandas/tests/tseries/offsets/test_offsets.py | chrisdonlan/pandas | af4e2ce19c9c0b89db4bc06d7730b68068c6aeae | [
"BSD-3-Clause"
] | null | null | null | from datetime import date, datetime, time as dt_time, timedelta
from typing import Dict, List, Optional, Tuple, Type
import numpy as np
import pytest
from pandas._libs.tslibs import (
NaT,
OutOfBoundsDatetime,
Timestamp,
conversion,
timezones,
)
from pandas._libs.tslibs.frequencies import (
IN... | 36.373616 | 88 | 0.505179 |
c8b337174a0f0a28fde7b21a6ae86be0b33fcfe4 | 1,954 | py | Python | stdplugins/auto_profile.py | dqanshi/alluka | f1ac5b227f4e12a4363c6e06b8acc0fd5aac6f1c | [
"Apache-2.0"
] | 1 | 2020-08-02T11:14:29.000Z | 2020-08-02T11:14:29.000Z | stdplugins/auto_profile.py | dqanshi/alluka | f1ac5b227f4e12a4363c6e06b8acc0fd5aac6f1c | [
"Apache-2.0"
] | 1 | 2021-02-08T20:41:43.000Z | 2021-02-08T20:41:43.000Z | stdplugins/auto_profile.py | dqanshi/alluka | f1ac5b227f4e12a4363c6e06b8acc0fd5aac6f1c | [
"Apache-2.0"
] | 1 | 2020-05-31T07:19:52.000Z | 2020-05-31T07:19:52.000Z | # For @UniBorg
# (c) Shrimadhav U K
"""Auto Profile Updation Commands
.autoname
.autobio"""
import asyncio
import time
from telethon.tl import functions
from telethon.errors import FloodWaitError
from uniborg.util import admin_cmd
DEL_TIME_OUT = 70
@borg.on(admin_cmd(pattern="autobio")) # pylint:disable=E0602
asyn... | 30.53125 | 86 | 0.585466 |
c8b359dd9112483ccd0612d0ed3b3804ecdeefe5 | 674 | py | Python | zerver/lib/realm_icon.py | gnprice/zulip | f29a1918f3cd3795f6ded3dc174472ef0fde3973 | [
"Apache-2.0"
] | null | null | null | zerver/lib/realm_icon.py | gnprice/zulip | f29a1918f3cd3795f6ded3dc174472ef0fde3973 | [
"Apache-2.0"
] | 6 | 2020-09-05T21:07:41.000Z | 2021-12-02T17:56:37.000Z | zerver/lib/realm_icon.py | gnprice/zulip | f29a1918f3cd3795f6ded3dc174472ef0fde3973 | [
"Apache-2.0"
] | 1 | 2021-01-07T23:27:52.000Z | 2021-01-07T23:27:52.000Z | from django.conf import settings
from typing import Text
from zerver.lib.avatar_hash import gravatar_hash, user_avatar_hash
from zerver.lib.upload import upload_backend
from zerver.models import Realm
def realm_icon_url(realm: Realm) -> Text:
return get_realm_icon_url(realm)
def get_realm_icon_url(realm: Realm)... | 33.7 | 80 | 0.753709 |
c8b36a2e7b774984091be1d98607a4b3d506a54c | 2,143 | py | Python | tensorflow_federated/python/core/utils/__init__.py | xueyuuu/federated | ad617401324c133eb838e4e0af7442a4dfa71d6e | [
"Apache-2.0"
] | 2 | 2019-07-09T10:04:39.000Z | 2019-10-02T05:10:16.000Z | tensorflow_federated/python/core/utils/__init__.py | xueyuuu/federated | ad617401324c133eb838e4e0af7442a4dfa71d6e | [
"Apache-2.0"
] | null | null | null | tensorflow_federated/python/core/utils/__init__.py | xueyuuu/federated | ad617401324c133eb838e4e0af7442a4dfa71d6e | [
"Apache-2.0"
] | null | null | null | # Lint as: python3
# Copyright 2018, The TensorFlow Federated 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 ... | 43.734694 | 88 | 0.814279 |
c8b396e19cbc17b9e36409c48a93afa9449a2984 | 11,336 | py | Python | modules/templates/RLPPTM/maintenance.py | nursix/DRKCM | 09328289ff721c416494398aa751ff99906327cb | [
"MIT"
] | 3 | 2022-01-26T08:07:54.000Z | 2022-03-21T21:53:52.000Z | modules/templates/RLPPTM/maintenance.py | nursix/eden-asp | e49f46cb6488918f8d5a163dcd5a900cd686978c | [
"MIT"
] | null | null | null | modules/templates/RLPPTM/maintenance.py | nursix/eden-asp | e49f46cb6488918f8d5a163dcd5a900cd686978c | [
"MIT"
] | null | null | null | """
Maintenance Tasks for RLPPTM
License: MIT
"""
import datetime
import os
import time
from gluon import current
from gluon.settings import global_settings
# =============================================================================
class Daily():
""" Daily Maintenance Tasks """
def __call__(se... | 34.773006 | 94 | 0.476447 |
c8b3c7df0a8081aa7352046429fdccc9470d95b2 | 6,794 | py | Python | pydreamer/models/rnn.py | danieldugas/pydreamer | 247cb1c71555252646e225c53174a19a0260d246 | [
"MIT"
] | null | null | null | pydreamer/models/rnn.py | danieldugas/pydreamer | 247cb1c71555252646e225c53174a19a0260d246 | [
"MIT"
] | null | null | null | pydreamer/models/rnn.py | danieldugas/pydreamer | 247cb1c71555252646e225c53174a19a0260d246 | [
"MIT"
] | null | null | null | from typing import Tuple, Optional
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.jit as jit
from torch import Tensor
from torch.nn import Parameter
class GRU2Inputs(nn.Module):
def __init__(self, input1_dim, input2_dim, mlp_dim=200, state_dim=200, num_layers=1, bidirectional=Fal... | 40.927711 | 134 | 0.644686 |
c8b3f89afa65a084d2366b043c74ee04c5c77c17 | 13,852 | py | Python | awx_collection/plugins/modules/tower_credential.py | Mayses/awx | 35441694a9707d0d2f57c701970db22110091163 | [
"Apache-2.0"
] | 1 | 2021-08-02T10:37:09.000Z | 2021-08-02T10:37:09.000Z | awx_collection/plugins/modules/tower_credential.py | Mayses/awx | 35441694a9707d0d2f57c701970db22110091163 | [
"Apache-2.0"
] | 2 | 2019-03-01T19:08:10.000Z | 2020-03-12T09:14:27.000Z | awx_collection/plugins/modules/tower_credential.py | hostinger/awx | dac01b14e2c04c201a162ea03ef8386d822e3923 | [
"Apache-2.0"
] | 24 | 2020-11-27T08:37:35.000Z | 2021-03-08T13:27:15.000Z | #!/usr/bin/python
# coding: utf-8 -*-
# Copyright: (c) 2017, Wayne Witzel III <wayne@riotousliving.com>
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_ver... | 31.917051 | 150 | 0.653624 |
c8b41b809ef79c4a4d6054c0e927493da5b583f1 | 8,094 | py | Python | rllib/dataset/utilities.py | sebascuri/rllib | 6e3cb640cd943b2fda84ad59e72a939563502c2e | [
"MIT"
] | 8 | 2020-10-23T07:52:19.000Z | 2022-03-06T13:35:12.000Z | rllib/dataset/utilities.py | sebascuri/rllib | 6e3cb640cd943b2fda84ad59e72a939563502c2e | [
"MIT"
] | 3 | 2021-03-04T13:44:01.000Z | 2021-03-23T09:57:50.000Z | rllib/dataset/utilities.py | sebascuri/rllib | 6e3cb640cd943b2fda84ad59e72a939563502c2e | [
"MIT"
] | 3 | 2021-03-18T08:23:56.000Z | 2021-07-06T11:20:12.000Z | """Utilities for dataset submodule."""
from itertools import product
import numpy as np
import torch
from .datatypes import Observation
def _cast_to_iter_class(generator, class_):
if class_ in (tuple, list):
return class_(generator)
else:
return class_(*generator)
def map_observation(func,... | 28.00692 | 86 | 0.638992 |
c8b432fbc0a4d179413740a242893672fbcb26a0 | 20,229 | py | Python | foldit/team_models.py | awb-carleton/pattern-analysis | 532066398f2d102031aaa86b9a7c739ee16ceb9c | [
"MIT"
] | null | null | null | foldit/team_models.py | awb-carleton/pattern-analysis | 532066398f2d102031aaa86b9a7c739ee16ceb9c | [
"MIT"
] | null | null | null | foldit/team_models.py | awb-carleton/pattern-analysis | 532066398f2d102031aaa86b9a7c739ee16ceb9c | [
"MIT"
] | null | null | null | import os
from sklearn.ensemble import GradientBoostingRegressor
from sklearn.inspection import plot_partial_dependence, permutation_importance
from sklearn.linear_model import Ridge
from sklearn.model_selection import cross_val_score, ShuffleSplit, ParameterGrid, GroupShuffleSplit
from sklearn.feature_selection import... | 46.718245 | 166 | 0.597953 |
c8b44b94eeee5e5000f64b36565377189aade6ba | 1,237 | py | Python | admin/binaries.py | cprovencher/dcos-e2e | c54b3d41f246efe3f90dcf225b0bffdc1f615daa | [
"Apache-2.0"
] | null | null | null | admin/binaries.py | cprovencher/dcos-e2e | c54b3d41f246efe3f90dcf225b0bffdc1f615daa | [
"Apache-2.0"
] | null | null | null | admin/binaries.py | cprovencher/dcos-e2e | c54b3d41f246efe3f90dcf225b0bffdc1f615daa | [
"Apache-2.0"
] | null | null | null | """
Create binaries for the CLIs.
"""
import logging
from pathlib import Path
from typing import Set
import docker
from docker.types import Mount
LOGGER = logging.getLogger(__name__)
def make_linux_binaries(repo_root: Path) -> Set[Path]:
"""
Create binaries for Linux in a Docker container.
Args:
... | 21.327586 | 66 | 0.601455 |
c8b456322ccc94abda25bd7c02073c48517b1a28 | 876 | py | Python | CreatingClassAndObjectInPython.py | trishahanlon/algorithms-review | 4e08938526020204d0a7f47982b46c05b0973636 | [
"Apache-2.0"
] | null | null | null | CreatingClassAndObjectInPython.py | trishahanlon/algorithms-review | 4e08938526020204d0a7f47982b46c05b0973636 | [
"Apache-2.0"
] | null | null | null | CreatingClassAndObjectInPython.py | trishahanlon/algorithms-review | 4e08938526020204d0a7f47982b46c05b0973636 | [
"Apache-2.0"
] | null | null | null | class Parrot:
# class attribute
species = "bird"
# instance attribute
def __init__(self, name, age):
self.name = name
self.age = age
# instance methods
def sing(self, song):
return "{} sings {}".format(self.name, song)
def dance(self):
return "{} is now dan... | 25.764706 | 79 | 0.642694 |
c8b4890e3f0d782ef0b74e10b7cdac1d7c516ca6 | 3,142 | py | Python | trainers/random_average_weights_perweight.py | LaudateCorpus1/learning-subspaces | 240122f8a875f580eca92325fb06a98bf71bbf3e | [
"AML"
] | 105 | 2021-03-30T06:03:44.000Z | 2022-03-03T15:50:41.000Z | trainers/random_average_weights_perweight.py | LaudateCorpus1/learning-subspaces | 240122f8a875f580eca92325fb06a98bf71bbf3e | [
"AML"
] | 3 | 2021-07-16T04:46:25.000Z | 2022-01-29T04:47:26.000Z | trainers/random_average_weights_perweight.py | LaudateCorpus1/learning-subspaces | 240122f8a875f580eca92325fb06a98bf71bbf3e | [
"AML"
] | 12 | 2021-03-23T17:24:43.000Z | 2022-03-26T11:43:12.000Z | #
# For licensing see accompanying LICENSE file.
# Copyright (C) 2020 Apple Inc. All Rights Reserved.
#
import numpy as np
import torch
import torch.nn as nn
import utils
from args import args
def init(model, writer, train_loader):
pass
def train(models, writer, data_loader, optimizers, criterion, epoch):
... | 30.803922 | 82 | 0.553151 |
c8b4b30f196c0312327b9f0c06d520815e16178d | 1,013 | py | Python | doctoreval/__init__.py | progrium/DrEval | 8cda2e93f7356656e50d41ab02a06343e8a7b4fe | [
"MIT"
] | 17 | 2015-02-05T17:10:25.000Z | 2021-01-07T20:56:16.000Z | doctoreval/__init__.py | progrium/DrEval | 8cda2e93f7356656e50d41ab02a06343e8a7b4fe | [
"MIT"
] | null | null | null | doctoreval/__init__.py | progrium/DrEval | 8cda2e93f7356656e50d41ab02a06343e8a7b4fe | [
"MIT"
] | 3 | 2015-11-05T12:15:52.000Z | 2016-08-02T17:09:33.000Z | from twisted.internet import defer, reactor
from twisted.web import server
from twisted.application.service import Service
from ampoule import pool, main
from doctoreval import worker, web
__version__ = '0.1.0'
__url__ = "http://github.com/progrium/DrEval"
@defer.inlineCallbacks
def start(port=8123, max_workers=2, t... | 28.138889 | 83 | 0.682132 |
c8b4bb70c3f23450f8f66002bd27b535d0c4a476 | 43,478 | py | Python | Data_post_process_scripts/data_post_process_utils.py | pincher-chen/Molten-Salt-Simulation-Toolkit | a9c891617eeb9260e1a33b6a1558f73e9ddbf410 | [
"MIT"
] | 4 | 2020-02-10T08:22:42.000Z | 2021-03-03T01:34:21.000Z | Data_post_process_scripts/data_post_process_utils.py | pangchq/Molten-Salt-Simulation-Toolkit | 9b82be67fde78b4f48ecc409ec89bea14040d2b1 | [
"MIT"
] | null | null | null | Data_post_process_scripts/data_post_process_utils.py | pangchq/Molten-Salt-Simulation-Toolkit | 9b82be67fde78b4f48ecc409ec89bea14040d2b1 | [
"MIT"
] | 1 | 2020-02-08T04:39:44.000Z | 2020-02-08T04:39:44.000Z | #!/bin/env python
# -*- coding: utf-8 -*-
# use numpy to accerlate computation
__author__ = 'Gechuanqi Pan'
import os
import time
import glob
import re
import numpy as np
from scipy.optimize import curve_fit
from scipy.interpolate import spline
import matplotlib.pyplot as plt
import MDAnalysis as MDA
f... | 42.376218 | 1,031 | 0.700147 |
c8b4d016c3726532c63141fbfa0f05ae810e165f | 11,987 | py | Python | services/traction/acapy_client/model/v20_cred_attr_spec.py | Open-Earth-Foundation/traction | 908b555a7f408a88541b7692d3730e37a297c919 | [
"Apache-2.0"
] | 12 | 2022-01-29T20:30:03.000Z | 2022-03-29T11:46:14.000Z | services/traction/acapy_client/model/v20_cred_attr_spec.py | Open-Earth-Foundation/traction | 908b555a7f408a88541b7692d3730e37a297c919 | [
"Apache-2.0"
] | 38 | 2021-11-22T17:52:50.000Z | 2022-03-31T17:52:00.000Z | services/traction/acapy_client/model/v20_cred_attr_spec.py | Open-Earth-Foundation/traction | 908b555a7f408a88541b7692d3730e37a297c919 | [
"Apache-2.0"
] | 9 | 2021-11-22T18:05:48.000Z | 2022-03-29T11:25:08.000Z | """
Aries Cloud Agent
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
The version of the OpenAPI document: v0.7.2
Generated by: https://openapi-generator.tech
"""
import re # noqa: F401
import sys # noqa: F401
from acapy_cli... | 41.334483 | 124 | 0.557687 |
c8b506dafb3f2dee0a553bd6d73747b2a670b6d4 | 1,722 | py | Python | src/worker/adm_molecule.py | chemspacelab/clockwork | 0956d8d29417a974809166857de9a978d7fac677 | [
"MIT"
] | null | null | null | src/worker/adm_molecule.py | chemspacelab/clockwork | 0956d8d29417a974809166857de9a978d7fac677 | [
"MIT"
] | null | null | null | src/worker/adm_molecule.py | chemspacelab/clockwork | 0956d8d29417a974809166857de9a978d7fac677 | [
"MIT"
] | null | null | null | import numpy as np
from rdkit import Chem
from rdkit.Chem import AllChem, ChemicalForceFields
import rmsd
def load_sdf(filename):
"""
load sdf file and return rdkit mol list
args:
filename sdf
return:
list of mol objs
"""
suppl = Chem.SDMolSupplier(filename,
... | 19.348315 | 77 | 0.579559 |
c8b53e6434d6fe0751986675ce956d1ca1a0c999 | 449 | py | Python | django-project/shows/migrations/0004_episode_canonical_url.py | KBIAnews/PodCastle | 39d8fd10802b2e37fea846be33ff046b161a4540 | [
"MIT"
] | null | null | null | django-project/shows/migrations/0004_episode_canonical_url.py | KBIAnews/PodCastle | 39d8fd10802b2e37fea846be33ff046b161a4540 | [
"MIT"
] | 6 | 2020-02-24T19:11:26.000Z | 2021-05-07T13:44:56.000Z | django-project/shows/migrations/0004_episode_canonical_url.py | KBIAnews/PodCastle | 39d8fd10802b2e37fea846be33ff046b161a4540 | [
"MIT"
] | 1 | 2018-07-31T16:13:42.000Z | 2018-07-31T16:13:42.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2018-07-31 13:19
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('shows', '0003_auto_20180730_1216'),
]
operations = [
migrations.AddField(
... | 21.380952 | 46 | 0.616927 |
c8b5491876a3e7c8654ca38a526a90de83ce38ff | 926 | py | Python | py/cidoc_crm_types/entities/e56_language.py | minorg/cidoc-crm-types | 9018bdbf0658e4d28a87bc94543e467be45d8aa5 | [
"Apache-2.0"
] | null | null | null | py/cidoc_crm_types/entities/e56_language.py | minorg/cidoc-crm-types | 9018bdbf0658e4d28a87bc94543e467be45d8aa5 | [
"Apache-2.0"
] | null | null | null | py/cidoc_crm_types/entities/e56_language.py | minorg/cidoc-crm-types | 9018bdbf0658e4d28a87bc94543e467be45d8aa5 | [
"Apache-2.0"
] | null | null | null | from .e55_type import E55Type
from dataclasses import dataclass
@dataclass
class E56Language(E55Type):
"""
Scope note:
This class is a specialization of E55 Type and comprises the natural languages in the sense of concepts.
This type is used categorically in the model without reference to instances of it, i.e. t... | 31.931034 | 224 | 0.7473 |
c8b54f5a34a2862ec524d64970814ffa5012f238 | 3,930 | py | Python | xbots/utils.py | kohloderso/quickbot_bbb | 430510b1b3bc54f72fd738b8235abecdfa186ff2 | [
"BSD-3-Clause"
] | 1 | 2017-01-07T00:52:04.000Z | 2017-01-07T00:52:04.000Z | xbots/utils.py | kohloderso/quickbot_bbb | 430510b1b3bc54f72fd738b8235abecdfa186ff2 | [
"BSD-3-Clause"
] | null | null | null | xbots/utils.py | kohloderso/quickbot_bbb | 430510b1b3bc54f72fd738b8235abecdfa186ff2 | [
"BSD-3-Clause"
] | null | null | null | import time
import numpy as np
# Tic toc constants
TICTOC_START = 0
TICTOC_COUNT = 0
TICTOC_MEAN = 0
TICTOC_MAX = -float('inf')
TICTOC_MIN = float('inf')
def operatingPoint(uStar, uStarThreshold):
"""
This function returns the steady state tick velocity given some PWM input.
uStar: PWM input.
uStarT... | 29.111111 | 79 | 0.586005 |
c8b55a9b26f551e9703e07f2d07e5cfe05c149b0 | 79,860 | py | Python | sherlock/transient_classifier.py | Mattlk13/sherlock | 8b6d12d18b2d2529f972b028c5b9b9cfb1ac0afa | [
"MIT"
] | null | null | null | sherlock/transient_classifier.py | Mattlk13/sherlock | 8b6d12d18b2d2529f972b028c5b9b9cfb1ac0afa | [
"MIT"
] | null | null | null | sherlock/transient_classifier.py | Mattlk13/sherlock | 8b6d12d18b2d2529f972b028c5b9b9cfb1ac0afa | [
"MIT"
] | null | null | null | #!/usr/local/bin/python
# encoding: utf-8
"""
*classify a set of transients defined by a database query in the sherlock settings file*
:Author:
David Young
:Date Created:
January 5, 2017
"""
################# GLOBAL IMPORTS ####################
import sys
import os
import collections
import codecs
import re
... | 41.080247 | 2,489 | 0.569184 |
c8b55dae587618ce7df7938689aea1702d744144 | 7,108 | py | Python | toontown/estate/House.py | LittleNed/toontown-stride | 1252a8f9a8816c1810106006d09c8bdfe6ad1e57 | [
"Apache-2.0"
] | 3 | 2020-01-02T08:43:36.000Z | 2020-07-05T08:59:02.000Z | toontown/estate/House.py | NoraTT/Historical-Commits-Project-Altis-Source | fe88e6d07edf418f7de6ad5b3d9ecb3d0d285179 | [
"Apache-2.0"
] | null | null | null | toontown/estate/House.py | NoraTT/Historical-Commits-Project-Altis-Source | fe88e6d07edf418f7de6ad5b3d9ecb3d0d285179 | [
"Apache-2.0"
] | 4 | 2019-06-20T23:45:23.000Z | 2020-10-14T20:30:15.000Z | from pandac.PandaModules import *
from toontown.toonbase.ToonBaseGlobal import *
from direct.directnotify import DirectNotifyGlobal
from toontown.hood import Place
from direct.showbase import DirectObject
from direct.fsm import StateData
from direct.fsm import ClassicFSM, State
from direct.fsm import State
from direct.... | 39.270718 | 143 | 0.656725 |
c8b580ca7d6af4fad6449b251936e26ae09de22e | 6,703 | py | Python | papers/none2021_ecrad/views/fields_comparison.py | anton-pershin/restools | eb141f0989617db796d106de1b0824161ccaa0aa | [
"MIT"
] | null | null | null | papers/none2021_ecrad/views/fields_comparison.py | anton-pershin/restools | eb141f0989617db796d106de1b0824161ccaa0aa | [
"MIT"
] | null | null | null | papers/none2021_ecrad/views/fields_comparison.py | anton-pershin/restools | eb141f0989617db796d106de1b0824161ccaa0aa | [
"MIT"
] | null | null | null | import os
import sys
from dataclasses import dataclass
from typing import Any
from matplotlib import colors
sys.path.append(os.getcwd())
import pickle
import json
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
import iris
import iris.plot as iplt
import cartopy.crs as ccrs
import restools
from ... | 46.874126 | 141 | 0.628375 |
c8b59fc018f671f0bca2fe97475aab706680bc3c | 1,319 | py | Python | src/notify.py | CrizR/Crypto-Alpha | 558674f7d7ad2c2924281ef42f873f5b45a89f2d | [
"MIT"
] | 2 | 2018-10-16T18:29:58.000Z | 2020-02-12T14:58:46.000Z | src/notify.py | CrizR/CryptoAlpha | 558674f7d7ad2c2924281ef42f873f5b45a89f2d | [
"MIT"
] | null | null | null | src/notify.py | CrizR/CryptoAlpha | 558674f7d7ad2c2924281ef42f873f5b45a89f2d | [
"MIT"
] | null | null | null | from twilio.rest import Client
HOST_NUMBER = "8312469327"
class ClientNotif(object):
"""
Abstraction used for handling the list of people who want text notifications
"""
def __init__(self, username, token, mongo_client):
self.mongo_client = mongo_client
self.db = mongo_client['client_... | 36.638889 | 115 | 0.648218 |
c8b5a51fa5186ee2318c4f0ddead63a195c751bf | 7,501 | py | Python | tests/variantstudy/test_command_factory.py | AntaresSimulatorTeam/antaREST | d686d2a86a52737c211ae67f3cee591f559909f2 | [
"Apache-2.0"
] | 2 | 2021-11-15T09:26:33.000Z | 2022-02-24T09:53:54.000Z | tests/variantstudy/test_command_factory.py | AntaresSimulatorTeam/antaREST | d686d2a86a52737c211ae67f3cee591f559909f2 | [
"Apache-2.0"
] | 542 | 2021-01-11T13:23:47.000Z | 2022-03-31T15:38:10.000Z | tests/variantstudy/test_command_factory.py | AntaresSimulatorTeam/antaREST | d686d2a86a52737c211ae67f3cee591f559909f2 | [
"Apache-2.0"
] | 1 | 2020-10-01T12:18:15.000Z | 2020-10-01T12:18:15.000Z | from unittest.mock import Mock
import pytest
from antarest.matrixstore.service import MatrixService
from antarest.study.storage.variantstudy.business.matrix_constants_generator import (
GeneratorMatrixConstants,
)
from antarest.study.storage.variantstudy.command_factory import CommandFactory
from antarest.study.s... | 31.919149 | 85 | 0.480203 |
c8b5c86f16c3bd47d752d8279ade8c5bc263285c | 2,957 | py | Python | lib/BatchSystemHelper.py | rmmilewi/pira | 58d6510af3d3dfc0581921d9e00bf24d026a8c44 | [
"BSD-3-Clause"
] | 6 | 2019-08-15T17:00:33.000Z | 2020-10-01T13:01:02.000Z | lib/BatchSystemHelper.py | rmmilewi/pira | 58d6510af3d3dfc0581921d9e00bf24d026a8c44 | [
"BSD-3-Clause"
] | null | null | null | lib/BatchSystemHelper.py | rmmilewi/pira | 58d6510af3d3dfc0581921d9e00bf24d026a8c44 | [
"BSD-3-Clause"
] | 1 | 2020-02-18T21:10:11.000Z | 2020-02-18T21:10:11.000Z | """
File: BatchSystemHelper.py
License: Part of the PIRA project. Licensed under BSD 3 clause license. See LICENSE.txt file at https://github.com/jplehr/pira/LICENSE.txt
Description: Needs attention
"""
import lib.Utility as util
import lib.Logging as log
queued_job_filename = './queued_job.tmp'
class BatchSystemJob... | 26.881818 | 138 | 0.703416 |
c8b5f54ab33309847271eb57ee23dd0cf84f6a6c | 3,151 | py | Python | validation_cuda.py | scaomath/kaggle-riiid-test | 6c99deccc33def7e5d0c982b0a9a19612138e893 | [
"MIT"
] | null | null | null | validation_cuda.py | scaomath/kaggle-riiid-test | 6c99deccc33def7e5d0c982b0a9a19612138e893 | [
"MIT"
] | null | null | null | validation_cuda.py | scaomath/kaggle-riiid-test | 6c99deccc33def7e5d0c982b0a9a19612138e893 | [
"MIT"
] | null | null | null | #%%
import gc
import random
import numpy as np
import pandas as pd
import cudf
import matplotlib.pyplot as plt
def fast_merge(left, right, key):
return cudf.concat([left.reset_index(drop=True),
right.reindex(left[key].values).reset_index(drop=True)],
axis=1)
DATA... | 33.521277 | 97 | 0.727388 |
c8b60472c4867c7f0a46a3e9ad3b1d15661a11e2 | 1,341 | py | Python | jaraco/windows/api/memory.py | jaraco/jaraco.windows | e858172b4d5ee91233a8cc5319de99f17848f090 | [
"MIT"
] | 21 | 2016-01-31T00:58:59.000Z | 2021-05-06T22:30:56.000Z | jaraco/windows/api/memory.py | jaraco/jaraco.windows | e858172b4d5ee91233a8cc5319de99f17848f090 | [
"MIT"
] | 14 | 2016-07-21T12:02:08.000Z | 2021-08-06T03:07:54.000Z | jaraco/windows/api/memory.py | jaraco/jaraco.windows | e858172b4d5ee91233a8cc5319de99f17848f090 | [
"MIT"
] | 5 | 2016-06-14T04:57:04.000Z | 2021-05-06T22:30:57.000Z | import ctypes.wintypes
GMEM_MOVEABLE = 0x2
GlobalAlloc = ctypes.windll.kernel32.GlobalAlloc
GlobalAlloc.argtypes = ctypes.wintypes.UINT, ctypes.c_size_t
GlobalAlloc.restype = ctypes.wintypes.HANDLE
GlobalLock = ctypes.windll.kernel32.GlobalLock
GlobalLock.argtypes = (ctypes.wintypes.HGLOBAL,)
GlobalLock.restype = ct... | 31.928571 | 76 | 0.816555 |
c8b60ffb3240506f8106fc71e7689b8b105d65a1 | 14,297 | py | Python | lgi_generative_model_alt.py | RuudFirsa/Graph-GEN | 3eb81277954c22f99b7e5a253e71d8d7a79664a3 | [
"BSD-3-Clause"
] | 3 | 2019-09-26T07:14:51.000Z | 2020-02-06T18:35:10.000Z | lgi_generative_model_alt.py | RuudFirsa/Graph-GEN | 3eb81277954c22f99b7e5a253e71d8d7a79664a3 | [
"BSD-3-Clause"
] | null | null | null | lgi_generative_model_alt.py | RuudFirsa/Graph-GEN | 3eb81277954c22f99b7e5a253e71d8d7a79664a3 | [
"BSD-3-Clause"
] | null | null | null | """
Copyright 2019 Ruud van Deursen, Firmenich SA.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaim... | 43.063253 | 755 | 0.60796 |
c8b62bb3e00508a20b89f4e6e70ace37e6c186d4 | 488 | py | Python | sdk/anomalydetector/azure-ai-anomalydetector/azure/ai/anomalydetector/_version.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2022-03-09T08:59:13.000Z | 2022-03-09T08:59:13.000Z | sdk/anomalydetector/azure-ai-anomalydetector/azure/ai/anomalydetector/_version.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | sdk/anomalydetector/azure-ai-anomalydetector/azure/ai/anomalydetector/_version.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2022-03-04T06:21:56.000Z | 2022-03-04T06:21:56.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 48.8 | 94 | 0.528689 |
c8b652b78268913c0109475ba322ae1d6de6a51c | 7,179 | py | Python | WP3/Task3.1/spark/jobs/datasetextraction_question5/__init__.py | on-merrit/ON-MERRIT | a21324a54a6365f2f769b5952b0cf5347a97d480 | [
"MIT"
] | 2 | 2019-12-10T13:10:58.000Z | 2019-12-13T10:11:41.000Z | WP3/Task3.1/spark/jobs/datasetextraction_question5/__init__.py | on-merrit/ON-MERRIT | a21324a54a6365f2f769b5952b0cf5347a97d480 | [
"MIT"
] | 4 | 2020-03-31T12:13:45.000Z | 2020-04-15T15:59:17.000Z | WP3/Task3.1/spark/jobs/datasetextraction_question5/__init__.py | on-merrit/ON-MERRIT | a21324a54a6365f2f769b5952b0cf5347a97d480 | [
"MIT"
] | 1 | 2020-02-26T08:52:39.000Z | 2020-02-26T08:52:39.000Z | '''
Q5: Distribution of citation counts (incoming) of open access vs subscription papers published by the university.
Extracts dataset of OA status of all papers of all the universities listed in THE WUR and for each of those, gets the
count of incoming citations available in MAG.
A separate csv will be generated for... | 55.651163 | 374 | 0.705391 |
c8b657d6d4c6fbbf74afb4ddf14ee5a51f53cb48 | 966 | py | Python | src/experiment/TrainModelExperiment.py | dhruvtapasvi/implementation | 964980f431517f4548a87172a05107cdf700fb84 | [
"MIT"
] | 1 | 2020-05-25T10:24:58.000Z | 2020-05-25T10:24:58.000Z | src/experiment/TrainModelExperiment.py | dhruvtapasvi/implementation | 964980f431517f4548a87172a05107cdf700fb84 | [
"MIT"
] | 1 | 2017-12-18T02:16:44.000Z | 2017-12-18T02:16:44.000Z | src/experiment/TrainModelExperiment.py | dhruvtapasvi/implementation | 964980f431517f4548a87172a05107cdf700fb84 | [
"MIT"
] | null | null | null | from experiment.Experiment import Experiment
from model.VariationalAutoencoder import VariationalAutoencoder
from dataset.loader.DatasetLoader import DatasetLoader
class TrainModelExperiment(Experiment):
def __init__(self, variationalAutoencoder: VariationalAutoencoder, datasetLoader: DatasetLoader, epochs, batch... | 43.909091 | 120 | 0.747412 |
c8b67b582f471440fc865101605c5552045e1fb8 | 4,432 | py | Python | api/chalicelib/services/availability_service.py | joseph-behrens/vaccine-availability-notifications | aa8c0be201899c4b789d6599af83959a01c92ad9 | [
"MIT"
] | 9 | 2021-03-31T16:10:19.000Z | 2022-01-20T22:31:30.000Z | api/chalicelib/services/availability_service.py | joseph-behrens/vaccine-availability-notifications | aa8c0be201899c4b789d6599af83959a01c92ad9 | [
"MIT"
] | 6 | 2021-04-17T02:20:46.000Z | 2021-05-11T03:19:55.000Z | api/chalicelib/services/availability_service.py | joseph-behrens/vaccine-availability-notifications | aa8c0be201899c4b789d6599af83959a01c92ad9 | [
"MIT"
] | 1 | 2021-04-18T00:23:12.000Z | 2021-04-18T00:23:12.000Z | import asyncio
import json
import os
from typing import Any, List, Tuple
import boto3
from chalicelib.logs.utils import get_logger
from chalicelib.services.sqs_service import send_location_availability_to_queue
from chalicelib.services.vaccinespotter_service import (
fetch_availability_for_state,
)
from chaliceli... | 32.82963 | 86 | 0.683213 |
c8b6a4275163be653e0eb9b70bb25e103bd70b07 | 5,271 | py | Python | supplychainpy/bi/recommendation_generator.py | luisccalves/supplychainpy | 63a10b77ffdcc5bca71e815c70667c819d8f9af0 | [
"BSD-3-Clause"
] | 231 | 2016-05-30T02:34:45.000Z | 2022-03-28T17:00:29.000Z | supplychainpy/bi/recommendation_generator.py | luisccalves/supplychainpy | 63a10b77ffdcc5bca71e815c70667c819d8f9af0 | [
"BSD-3-Clause"
] | 77 | 2016-03-23T16:28:34.000Z | 2021-09-30T22:08:03.000Z | supplychainpy/bi/recommendation_generator.py | luisccalves/supplychainpy | 63a10b77ffdcc5bca71e815c70667c819d8f9af0 | [
"BSD-3-Clause"
] | 103 | 2016-08-10T19:53:09.000Z | 2022-03-16T16:34:38.000Z | # Copyright (c) 2015-2016, The Authors and Contributors
# <see AUTHORS file>
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without modification, are permitted provided that the
# following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright n... | 50.682692 | 124 | 0.741795 |
c8b6ac7427a19d266b93f5ce9a86347ef0bdd2db | 992 | py | Python | RMT/Chapter20/Fig_20_3_1.py | cc7768/RecMacroTheoryFigures | 487030e8608eea6bd082d28b17c2aaf486c403a7 | [
"MIT"
] | 11 | 2017-05-14T16:22:19.000Z | 2021-02-24T02:17:58.000Z | RMT/Chapter20/Fig_20_3_1.py | cc7768/RecMacroTheoryFigures | 487030e8608eea6bd082d28b17c2aaf486c403a7 | [
"MIT"
] | 1 | 2016-02-01T20:28:31.000Z | 2016-02-01T20:29:12.000Z | RMT/Chapter20/Fig_20_3_1.py | cc7768/RecMacroTheoryFigures | 487030e8608eea6bd082d28b17c2aaf486c403a7 | [
"MIT"
] | 5 | 2017-05-13T12:19:30.000Z | 2020-10-25T14:41:17.000Z | """
This file produces a figure similar to the one at
as chapter 20 section 3 figure 1 in Recursive
Macroeconomic Theory.
"""
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sn
from Chp20Specification import Chp20_Sec3_Economy
def Fig_20_3_1(nw=50):
# Create the economy described
m = Chp... | 23.619048 | 58 | 0.635081 |
c8b6f746ceaf3084c4382372fd7733e3ccc0c5ae | 31,671 | py | Python | monai/transforms/utility/array.py | myron/MONAI | 6e7b2d6ad9688b0418eee21efeea196da2ad054f | [
"Apache-2.0"
] | null | null | null | monai/transforms/utility/array.py | myron/MONAI | 6e7b2d6ad9688b0418eee21efeea196da2ad054f | [
"Apache-2.0"
] | null | null | null | monai/transforms/utility/array.py | myron/MONAI | 6e7b2d6ad9688b0418eee21efeea196da2ad054f | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 - 2021 MONAI Consortium
# 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 wri... | 37.929341 | 119 | 0.64027 |
c8b76193928010cdba97f91b7c7c795cf3d539d8 | 4,656 | py | Python | dynamic-programming/frozenlake.py | aopina1/DRLND-Course | 1140e101221cfcee16a24d146b4f86cd79d53832 | [
"MIT"
] | null | null | null | dynamic-programming/frozenlake.py | aopina1/DRLND-Course | 1140e101221cfcee16a24d146b4f86cd79d53832 | [
"MIT"
] | 7 | 2019-12-16T22:13:37.000Z | 2022-02-10T01:05:42.000Z | dynamic-programming/frozenlake.py | aopina1/DRLND-Course | 1140e101221cfcee16a24d146b4f86cd79d53832 | [
"MIT"
] | null | null | null | import numpy as np
import sys
from six import StringIO, b
from gym import utils
from gym.envs.toy_text import discrete
LEFT = 0
DOWN = 1
RIGHT = 2
UP = 3
MAPS = {
"4x4": [
"SFFF",
"FHFH",
"FFFH",
"HFFG"
],
"8x8": [
"SFFFFFFF",
"FFFFFFFF... | 34.235294 | 96 | 0.488617 |
c8b773e3988b009436a31b42fdb456c6f8e6defc | 222,754 | py | Python | sdk/resources/azure-mgmt-resource/azure/mgmt/resource/policy/v2021_06_01/operations/_operations.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2022-02-01T18:50:12.000Z | 2022-02-01T18:50:12.000Z | sdk/resources/azure-mgmt-resource/azure/mgmt/resource/policy/v2021_06_01/operations/_operations.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | sdk/resources/azure-mgmt-resource/azure/mgmt/resource/policy/v2021_06_01/operations/_operations.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | # pylint: disable=too-many-lines
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRe... | 45.073654 | 281 | 0.674053 |
c8b7ddc41763319af0d8b7d01c9f4e1e8afed744 | 1,890 | py | Python | tcp_check/setup.py | seants/integrations-core | 1e5548915fc24f1bbd095e845f0940c22992b09c | [
"BSD-3-Clause"
] | 1 | 2020-08-08T02:01:01.000Z | 2020-08-08T02:01:01.000Z | tcp_check/setup.py | seants/integrations-core | 1e5548915fc24f1bbd095e845f0940c22992b09c | [
"BSD-3-Clause"
] | 1 | 2018-08-15T05:50:17.000Z | 2018-08-15T05:50:17.000Z | tcp_check/setup.py | seants/integrations-core | 1e5548915fc24f1bbd095e845f0940c22992b09c | [
"BSD-3-Clause"
] | 1 | 2018-08-15T05:45:42.000Z | 2018-08-15T05:45:42.000Z | # (C) Datadog, Inc. 2018
# All rights reserved
# Licensed under a 3-clause BSD style license (see LICENSE)
from setuptools import setup
from codecs import open # To use a consistent encoding
from os import path
HERE = path.dirname(path.abspath(__file__))
# Get version info
ABOUT = {}
with open(path.join(HERE, 'datad... | 27.794118 | 79 | 0.683069 |
c8b7e55ca6f7d31147e4f9825ba0240b9bdaede7 | 21,706 | py | Python | ml3d/torch/pipelines/semantic_segmentation.py | kylevedder/Open3D-ML | 87ec50ed81d531377b1bb27e5c16f964201eadb0 | [
"MIT"
] | 447 | 2020-10-14T23:16:41.000Z | 2021-07-27T06:57:45.000Z | ml3d/torch/pipelines/semantic_segmentation.py | kylevedder/Open3D-ML | 87ec50ed81d531377b1bb27e5c16f964201eadb0 | [
"MIT"
] | 118 | 2020-10-14T10:20:37.000Z | 2021-07-27T12:23:18.000Z | ml3d/torch/pipelines/semantic_segmentation.py | kylevedder/Open3D-ML | 87ec50ed81d531377b1bb27e5c16f964201eadb0 | [
"MIT"
] | 80 | 2020-10-14T17:35:48.000Z | 2021-07-23T08:48:17.000Z | import torch, pickle
import torch.nn as nn
import numpy as np
import logging
import sys
from datetime import datetime
from tqdm import tqdm
from torch.utils.tensorboard import SummaryWriter
from torch.utils.data import Dataset, IterableDataset, DataLoader
from pathlib import Path
from sklearn.metrics import confusion_... | 39.039568 | 114 | 0.572607 |
c8b7e5ec0ab5e0c0f1cce4fdfe67da1e031ac777 | 480 | py | Python | test/manual_test/manual_test_all_examples.py | loonghao/photoshop_python_api | f6796134845fb2b41d023b2085e678aeef822692 | [
"MIT"
] | 17 | 2019-03-01T12:09:37.000Z | 2020-04-09T14:14:59.000Z | test/manual_test/manual_test_all_examples.py | loonghao/photoshop_python_api | f6796134845fb2b41d023b2085e678aeef822692 | [
"MIT"
] | 7 | 2019-04-28T15:20:27.000Z | 2020-04-07T19:14:47.000Z | test/manual_test/manual_test_all_examples.py | loonghao/photoshop_python_api | f6796134845fb2b41d023b2085e678aeef822692 | [
"MIT"
] | 3 | 2020-02-28T14:27:11.000Z | 2020-04-01T16:12:40.000Z | """Manual test all examples."""
# Import local modules
from photoshop.api import Application
from pathlib import Path
root = Path(__file__).parent.parent.parent.joinpath("examples")
for script_file in root.glob("*.py"):
try:
exec(script_file.read_text())
except Exception as err:
print(f"Test f... | 25.263158 | 64 | 0.70625 |
c8b809520246bab83df727b82d2659482f28fc74 | 1,560 | py | Python | impacket/examples/logger.py | black-security/impacket3 | 5b6145b3f511d4f7cddaba64cf150b109113afea | [
"Apache-1.1"
] | null | null | null | impacket/examples/logger.py | black-security/impacket3 | 5b6145b3f511d4f7cddaba64cf150b109113afea | [
"Apache-1.1"
] | null | null | null | impacket/examples/logger.py | black-security/impacket3 | 5b6145b3f511d4f7cddaba64cf150b109113afea | [
"Apache-1.1"
] | 1 | 2022-01-28T00:53:41.000Z | 2022-01-28T00:53:41.000Z | #!/usr/bin/python
# Copyright (c) 2003-2013 CORE Security Technologies
#
# This software is provided under under a slightly modified version
# of the Apache Software License. See the accompanying LICENSE file
# for more information.
#
# Description: This logger is intended to be used by impacket instead
# of printing d... | 31.836735 | 71 | 0.708974 |
c8b809bb720b39acba606c9c4b9652e34cd2efc9 | 3,215 | py | Python | starro/starro.py | marcosborges/starro-python | 24ff71fd51e8ed69caf0abab931ded073cbb0fa8 | [
"MIT"
] | 3 | 2021-04-10T23:16:00.000Z | 2021-04-12T16:30:22.000Z | starro/starro.py | marcosborges/starro-python | 24ff71fd51e8ed69caf0abab931ded073cbb0fa8 | [
"MIT"
] | null | null | null | starro/starro.py | marcosborges/starro-python | 24ff71fd51e8ed69caf0abab931ded073cbb0fa8 | [
"MIT"
] | null | null | null | import re
import math
def complete(arg):
"""Turns all characters to an string
Args:
arg (str): string to be converted
Returns:
str: converted string on string
"""
return '*' * len(str(arg))
def password(arg):
return complete(arg)
def token(arg):
return complete(arg)
... | 18.477011 | 79 | 0.541835 |
c8b834fd43abfe09632e59132f0fad9f7ebcb356 | 21 | py | Python | prosper/datareader/hitbtc/__init__.py | EVEprosper/ProsperDatareader | 31f0d77074c21222161774f4d653326925611167 | [
"MIT"
] | null | null | null | prosper/datareader/hitbtc/__init__.py | EVEprosper/ProsperDatareader | 31f0d77074c21222161774f4d653326925611167 | [
"MIT"
] | 14 | 2017-08-14T02:25:42.000Z | 2018-11-16T19:15:52.000Z | prosper/datareader/hitbtc/__init__.py | EVEprosper/ProsperDatareader | 31f0d77074c21222161774f4d653326925611167 | [
"MIT"
] | null | null | null | from . import quotes
| 10.5 | 20 | 0.761905 |
c8b836a1ca81c6779113966aa450181466339928 | 642 | py | Python | simplejson/tests/test_errors.py | gitdaniel228/realtor | 4366d57b064be87b31c8a036b3ed7a99b2036461 | [
"BSD-3-Clause"
] | 20 | 2015-01-26T01:39:44.000Z | 2020-05-30T19:04:14.000Z | simplejson/tests/test_errors.py | gitdaniel228/realtor | 4366d57b064be87b31c8a036b3ed7a99b2036461 | [
"BSD-3-Clause"
] | 6 | 2015-02-23T06:47:09.000Z | 2015-06-04T20:31:30.000Z | simplejson/tests/test_errors.py | gitdaniel228/realtor | 4366d57b064be87b31c8a036b3ed7a99b2036461 | [
"BSD-3-Clause"
] | 13 | 2015-01-26T01:39:45.000Z | 2022-03-09T16:45:09.000Z | from unittest import TestCase
import simplejson as json
class TestErrors(TestCase):
def test_string_keys_error(self):
data = [{'a': 'A', 'b': (2, 4), 'c': 3.0, ('d',): 'D tuple'}]
self.assertRaises(TypeError, json.dumps, data)
def test_decode_error(self):
err = None
try:
... | 29.181818 | 69 | 0.587227 |
c8b83dff7bbdee6bd7620668891cb85fa98d7d0d | 1,358 | py | Python | nova/virt/docker/network.py | osrg/nova | 14b6bc655145c832bd9c822e48f877818e0e53ff | [
"Apache-2.0"
] | null | null | null | nova/virt/docker/network.py | osrg/nova | 14b6bc655145c832bd9c822e48f877818e0e53ff | [
"Apache-2.0"
] | null | null | null | nova/virt/docker/network.py | osrg/nova | 14b6bc655145c832bd9c822e48f877818e0e53ff | [
"Apache-2.0"
] | null | null | null | # vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright 2014 OpenStack Foundation
# 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.apach... | 36.702703 | 78 | 0.67894 |
c8b84ab98aaf83fa0ffaae2df62a5ee03d44be6c | 5,628 | py | Python | Analytics/models/widget_layout.py | thanosbnt/SharingCitiesDashboard | 5d123691d1f25d0b85e20e4e8293266bf23c9f8a | [
"Apache-2.0"
] | 4 | 2018-11-21T14:42:18.000Z | 2020-05-11T10:52:59.000Z | Analytics/models/widget_layout.py | thanosbnt/SharingCitiesDashboard | 5d123691d1f25d0b85e20e4e8293266bf23c9f8a | [
"Apache-2.0"
] | 60 | 2018-11-21T15:11:59.000Z | 2019-12-02T10:46:44.000Z | Analytics/models/widget_layout.py | thanosbnt/SharingCitiesDashboard | 5d123691d1f25d0b85e20e4e8293266bf23c9f8a | [
"Apache-2.0"
] | 7 | 2018-11-21T14:42:44.000Z | 2019-11-28T16:24:14.000Z | from typing import NoReturn
import logging
from sqlalchemy.exc import IntegrityError
from db import db
logging.basicConfig(level='INFO')
logger = logging.getLogger(__name__)
class Layouts(db.Model):
"""
Database model for the layouts table used to persist widget layout data
:param widgetID: The wid... | 34.740741 | 101 | 0.568763 |
c8b85b69a635f5a582031ffc395ba7bb62e88b62 | 4,115 | py | Python | producten/migrations/0007_auto__add_field_simpelproduct_minimum_hoeveelheid.py | fahrrad/klepro | 3257a30a6a20bdcaf51256f31d80126047fd1c63 | [
"Apache-2.0"
] | null | null | null | producten/migrations/0007_auto__add_field_simpelproduct_minimum_hoeveelheid.py | fahrrad/klepro | 3257a30a6a20bdcaf51256f31d80126047fd1c63 | [
"Apache-2.0"
] | null | null | null | producten/migrations/0007_auto__add_field_simpelproduct_minimum_hoeveelheid.py | fahrrad/klepro | 3257a30a6a20bdcaf51256f31d80126047fd1c63 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from south.utils import datetime_utils as datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding field 'SimpelProduct.minimum_hoeveelheid'
db.add_column(u'produc... | 63.307692 | 200 | 0.58955 |
c8b867ae14bd2c7c5ec3b711524b472e14d11e00 | 408 | py | Python | workalendar/asia/qatar.py | vanadium23/workalendar | 4c67b5a7900fa56d7a93b767c6cbd8f1cc6b70a7 | [
"MIT"
] | null | null | null | workalendar/asia/qatar.py | vanadium23/workalendar | 4c67b5a7900fa56d7a93b767c6cbd8f1cc6b70a7 | [
"MIT"
] | null | null | null | workalendar/asia/qatar.py | vanadium23/workalendar | 4c67b5a7900fa56d7a93b767c6cbd8f1cc6b70a7 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from workalendar.core import Calendar
from workalendar.core import FRI, SAT, IslamicMixin
class Qatar(IslamicMixin, Calendar):
"Qatar"
WEEKEND_DAYS = (FRI, SAT)
FIXED_HOLIDAYS = (
(12, 18, "National Day"),
)
include_start_ramadan = True
include_eid_al_fitr = Tr... | 22.666667 | 51 | 0.678922 |
c8b8867886f58ef268fa5688e334f97ee04e0cfa | 6,245 | py | Python | hood/views.py | Hillarydalie/jiraniwatch | 4d531c066a641cfc6bbeb4f2ade2f71f706aedd3 | [
"MIT"
] | null | null | null | hood/views.py | Hillarydalie/jiraniwatch | 4d531c066a641cfc6bbeb4f2ade2f71f706aedd3 | [
"MIT"
] | 7 | 2020-06-06T00:18:19.000Z | 2022-03-12T00:03:41.000Z | hood/views.py | Hillarydalie/jiraniwatch | 4d531c066a641cfc6bbeb4f2ade2f71f706aedd3 | [
"MIT"
] | null | null | null | from django.shortcuts import render, redirect
from .models import Profile, Hood, Business, Post, Join
from django.contrib.sites.shortcuts import get_current_site
from django.utils.encoding import force_bytes
from django.utils.http import urlsafe_base64_encode
from django.template.loader import render_to_string
from .fo... | 33.395722 | 115 | 0.668215 |
c8b88f12a9d5b66c8b1ef46854ebe6299eaa30c0 | 14,686 | py | Python | adpkd_segmentation/datasets/datasets.py | Florassss/adpkd-segmentation-pytorch | ce06bcf9a5028836255d5845fd9017d6828d6bf7 | [
"MIT"
] | null | null | null | adpkd_segmentation/datasets/datasets.py | Florassss/adpkd-segmentation-pytorch | ce06bcf9a5028836255d5845fd9017d6828d6bf7 | [
"MIT"
] | null | null | null | adpkd_segmentation/datasets/datasets.py | Florassss/adpkd-segmentation-pytorch | ce06bcf9a5028836255d5845fd9017d6828d6bf7 | [
"MIT"
] | null | null | null | import json
import numpy as np
import torch
from pathlib import Path
import pandas as pd
import pydicom
from ast import literal_eval
from adpkd_segmentation.data.data_utils import (
get_labeled,
get_y_Path,
int16_to_uint8,
make_dcmdicts,
path_2dcm_int16,
path_2label,
TKV_update,
)
from adp... | 30.595833 | 79 | 0.598597 |
c8b895867edede5e41cf8ec5444e319101d6e0a1 | 756 | py | Python | algorithms/types.py | Hwhitetooth/jax_muzero | b8ab36251d22e0246d61514841ba17a22f4b2a36 | [
"MIT"
] | 17 | 2022-02-27T13:40:25.000Z | 2022-03-24T21:06:02.000Z | algorithms/types.py | Hwhitetooth/jax_muzero | b8ab36251d22e0246d61514841ba17a22f4b2a36 | [
"MIT"
] | 1 | 2022-03-08T19:47:52.000Z | 2022-03-24T21:05:30.000Z | algorithms/types.py | Hwhitetooth/jax_muzero | b8ab36251d22e0246d61514841ba17a22f4b2a36 | [
"MIT"
] | 1 | 2022-03-08T14:58:12.000Z | 2022-03-08T14:58:12.000Z | """Customized data structures."""
import collections
ActorOutput = collections.namedtuple('ActorOutput', [
'action_tm1',
'reward',
'observation',
'first',
'last',
])
AgentOutput = collections.namedtuple('AgentOutput', [
'state',
'logits',
'value_logits',
'value',
'reward_logi... | 15.75 | 53 | 0.531746 |
c8b8b9b0404bc2806515f700b5c380a886417ffc | 1,392 | py | Python | modules/emulator/pytari2600/graphics/pygletstella.py | 5space/nesbot | 38a9e8cadf0cbe41ee25e0850c244e2834a6e12c | [
"MIT"
] | null | null | null | modules/emulator/pytari2600/graphics/pygletstella.py | 5space/nesbot | 38a9e8cadf0cbe41ee25e0850c244e2834a6e12c | [
"MIT"
] | null | null | null | modules/emulator/pytari2600/graphics/pygletstella.py | 5space/nesbot | 38a9e8cadf0cbe41ee25e0850c244e2834a6e12c | [
"MIT"
] | null | null | null | import pyglet
from pyglet.gl import *
from . import stella
window = pyglet.window.Window(visible=False, resizable=True)
class PygletColors(stella.Colors):
def __init__(self):
super(PygletColors, self).__init__()
def set_color(self, r, g, b):
return [r,g,b]
class PygletStella(stella.Stella):
... | 30.26087 | 90 | 0.653017 |
c8b8bc547622cfd7091419ea2bd362fa9eda0e47 | 1,037 | py | Python | tql/algo_dl/keras/models/TextRNN.py | Jie-Yuan/1_DataMining | f5338388b4f883233f350d4fb9c5903180883430 | [
"Apache-2.0"
] | 14 | 2019-06-25T13:46:32.000Z | 2020-10-27T02:04:59.000Z | tql/algo_dl/keras/models/TextRNN.py | Jie-Yuan/2_DataMining | f5338388b4f883233f350d4fb9c5903180883430 | [
"Apache-2.0"
] | null | null | null | tql/algo_dl/keras/models/TextRNN.py | Jie-Yuan/2_DataMining | f5338388b4f883233f350d4fb9c5903180883430 | [
"Apache-2.0"
] | 7 | 2019-06-25T13:26:16.000Z | 2020-10-27T02:05:03.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Project : tql-Python.
# @File : TextRNN
# @Time : 2019-06-24 11:23
# @Author : yuanjie
# @Email : yuanjie@xiaomi.com
# @Software : PyCharm
# @Description :
from .BaseModel import BaseModel
from tensorflow.python.keras import Input... | 33.451613 | 109 | 0.644166 |
c8b8c929934b972bd064eae6e87ac981c255cb8c | 5,498 | py | Python | google-datacatalog-qlik-connector/tests/google/datacatalog_connectors/qlik/scrape/engine_api_sheets_helper_test.py | anugrah86/datacatalog-connectors-bi | 58cc57e12632cbd1e237b3d6930e519333c51f4e | [
"Apache-2.0"
] | 27 | 2020-04-27T21:55:49.000Z | 2022-02-18T22:09:13.000Z | google-datacatalog-qlik-connector/tests/google/datacatalog_connectors/qlik/scrape/engine_api_sheets_helper_test.py | anugrah86/datacatalog-connectors-bi | 58cc57e12632cbd1e237b3d6930e519333c51f4e | [
"Apache-2.0"
] | 36 | 2020-05-01T15:26:14.000Z | 2022-03-26T00:09:19.000Z | google-datacatalog-qlik-connector/tests/google/datacatalog_connectors/qlik/scrape/engine_api_sheets_helper_test.py | anugrah86/datacatalog-connectors-bi | 58cc57e12632cbd1e237b3d6930e519333c51f4e | [
"Apache-2.0"
] | 18 | 2020-04-30T22:14:09.000Z | 2022-01-13T10:28:03.000Z | #!/usr/bin/python
#
# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | 38.447552 | 79 | 0.643507 |
c8b8e0dc8580a98880ec08d347416af1c8187d4b | 1,284 | py | Python | test/test_inline_response201.py | pallavigopi/esper-client-py | f7e71d3f25a5d91f35628b414e8abe9e6849d316 | [
"Apache-2.0"
] | null | null | null | test/test_inline_response201.py | pallavigopi/esper-client-py | f7e71d3f25a5d91f35628b414e8abe9e6849d316 | [
"Apache-2.0"
] | null | null | null | test/test_inline_response201.py | pallavigopi/esper-client-py | f7e71d3f25a5d91f35628b414e8abe9e6849d316 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
Esper APIs
OpenAPI spec version: 1.0.0
Contact: developer@esper.io
---------------------------------------------------------
Copyright 2019 Shoonya Enterprises Inc.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
Yo... | 24.226415 | 73 | 0.720405 |
c8b90e4cb5c827960cbaef404f361bc87b64b4ef | 5,260 | py | Python | redbrick/cli/project.py | dereklukacs/redbrick-sdk | 4cf93444c1d808694c1601334f9e039e616dfd3d | [
"MIT"
] | 1 | 2020-11-26T04:25:15.000Z | 2020-11-26T04:25:15.000Z | redbrick/cli/project.py | redbrick-ai/redbrick-sdk | 4cf93444c1d808694c1601334f9e039e616dfd3d | [
"MIT"
] | 33 | 2021-02-04T17:51:53.000Z | 2022-03-17T07:28:36.000Z | redbrick/cli/project.py | dereklukacs/redbrick-sdk | 4cf93444c1d808694c1601334f9e039e616dfd3d | [
"MIT"
] | 1 | 2021-06-09T10:06:35.000Z | 2021-06-09T10:06:35.000Z | """Main CLI project."""
import os
from typing import Optional
from halo.halo import Halo # type: ignore
from redbrick import _populate_context
from redbrick.common.context import RBContext
from redbrick.organization import RBOrganization
from redbrick.project import RBProject
from redbrick.cli.entity import CLICache... | 34.605263 | 99 | 0.578327 |
c8b931159cc217d4f910ba95dd5fa8a96bbbc113 | 764 | py | Python | tests/test_function.py | GentleCP/cptools | 6816314f7e16168d3ce43c73e335a3c08590acb5 | [
"MIT"
] | 2 | 2021-04-17T13:16:38.000Z | 2021-06-16T02:26:09.000Z | tests/test_function.py | GentleCP/cptools | 6816314f7e16168d3ce43c73e335a3c08590acb5 | [
"MIT"
] | null | null | null | tests/test_function.py | GentleCP/cptools | 6816314f7e16168d3ce43c73e335a3c08590acb5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
-----------------File Info-----------------------
Name: test_function.py
Description:
Author: GentleCP
Email: 574881148@qq.com
WebSite: https://www.gentlecp.com
Create Date: 2021/4/6
-------------... | 28.296296 | 75 | 0.52356 |
c8b97b8febadf522340df99d3beeee987f0b3492 | 2,996 | py | Python | doc/source/conf.py | Algue-Rythme/deel-lip | bfff5765159cd500730129aa282b849283942eed | [
"MIT"
] | null | null | null | doc/source/conf.py | Algue-Rythme/deel-lip | bfff5765159cd500730129aa282b849283942eed | [
"MIT"
] | null | null | null | doc/source/conf.py | Algue-Rythme/deel-lip | bfff5765159cd500730129aa282b849283942eed | [
"MIT"
] | null | null | null | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If ex... | 31.208333 | 87 | 0.664887 |
c8b98dc69d109e08d4609ddd3a98b150f08521fc | 6,053 | py | Python | exercise_8/submission/DNN.py | best4281/programming-practice-2021 | 39e826661430f00c1a2aaebd36ceff5e50f98f89 | [
"MIT"
] | null | null | null | exercise_8/submission/DNN.py | best4281/programming-practice-2021 | 39e826661430f00c1a2aaebd36ceff5e50f98f89 | [
"MIT"
] | null | null | null | exercise_8/submission/DNN.py | best4281/programming-practice-2021 | 39e826661430f00c1a2aaebd36ceff5e50f98f89 | [
"MIT"
] | null | null | null | import random
import numpy as np
import tensorflow as tf
import keras.layers as layer
from matplotlib import pyplot as plt
from keras.datasets import cifar10
from keras.models import Model
from keras.utils import np_utils
from tensorflow import keras
from tensorflow.keras import optimizers
class ImgDataSet:... | 41.458904 | 143 | 0.688915 |
c8b98ea4d9c81883e09b070cd891e9b3406d27a8 | 3,995 | py | Python | WebService/app/forms.py | CryptoSalamander/DeepFake-Detection | f3b1c95ce1955a4c203a9f3d1279c5fbade66684 | [
"MIT"
] | null | null | null | WebService/app/forms.py | CryptoSalamander/DeepFake-Detection | f3b1c95ce1955a4c203a9f3d1279c5fbade66684 | [
"MIT"
] | null | null | null | WebService/app/forms.py | CryptoSalamander/DeepFake-Detection | f3b1c95ce1955a4c203a9f3d1279c5fbade66684 | [
"MIT"
] | 1 | 2021-04-11T06:27:48.000Z | 2021-04-11T06:27:48.000Z | from app.models import User
from flask_login import current_user
from flask_wtf import FlaskForm
from flask_wtf.file import FileField, FileAllowed, FileRequired
from wtforms import StringField, PasswordField, BooleanField, SubmitField, IntegerField, TextField
from wtforms.validators import ValidationError, DataRequired... | 43.423913 | 98 | 0.643554 |
c8b99382e97c12a1d5cdbc9c2df2e03f1c76ca81 | 35,170 | py | Python | toontown/coghq/DistributedCashbotBossCrane.py | LittleNed/toontown-stride | 1252a8f9a8816c1810106006d09c8bdfe6ad1e57 | [
"Apache-2.0"
] | 3 | 2020-01-02T08:43:36.000Z | 2020-07-05T08:59:02.000Z | toontown/coghq/DistributedCashbotBossCrane.py | NoraTT/Historical-Commits-Project-Altis-Source | fe88e6d07edf418f7de6ad5b3d9ecb3d0d285179 | [
"Apache-2.0"
] | null | null | null | toontown/coghq/DistributedCashbotBossCrane.py | NoraTT/Historical-Commits-Project-Altis-Source | fe88e6d07edf418f7de6ad5b3d9ecb3d0d285179 | [
"Apache-2.0"
] | 4 | 2019-06-20T23:45:23.000Z | 2020-10-14T20:30:15.000Z | import random
from direct.gui.DirectGui import *
from pandac.PandaModules import *
from direct.interval.IntervalGlobal import *
from direct.distributed.ClockDelta import *
from direct.fsm import FSM
from direct.distributed import DistributedObject
from direct.showutil import Rope
from toontown.toonbase import ToonPytho... | 39.208473 | 393 | 0.628917 |
c8b9bc052a97094f2c4c9397e65e8c1eb8538db8 | 3,435 | py | Python | app/dao/organisation_dao.py | cds-snc/notifier-api | 90b385ec49efbaee7e607516fc7d9f08991af813 | [
"MIT"
] | 41 | 2019-11-28T16:58:41.000Z | 2022-01-28T21:11:16.000Z | app/dao/organisation_dao.py | cds-snc/notification-api | b1c1064f291eb860b494c3fa65ac256ad70bf47c | [
"MIT"
] | 1,083 | 2019-07-08T12:57:24.000Z | 2022-03-08T18:53:40.000Z | app/dao/organisation_dao.py | cds-snc/notifier-api | 90b385ec49efbaee7e607516fc7d9f08991af813 | [
"MIT"
] | 9 | 2020-01-24T19:56:43.000Z | 2022-01-27T21:36:53.000Z | from sqlalchemy.sql.expression import func
from app import db
from app.dao.dao_utils import transactional, version_class
from app.models import Domain, InvitedOrganisationUser, Organisation, Service, User
def dao_get_organisations():
return Organisation.query.order_by(Organisation.active.desc(), Organisation.nam... | 31.227273 | 128 | 0.759825 |
c8b9ca1d3c92139e06a4f667826c35571783e694 | 25,581 | py | Python | workalendar/core.py | vanadium23/workalendar | 4c67b5a7900fa56d7a93b767c6cbd8f1cc6b70a7 | [
"MIT"
] | null | null | null | workalendar/core.py | vanadium23/workalendar | 4c67b5a7900fa56d7a93b767c6cbd8f1cc6b70a7 | [
"MIT"
] | null | null | null | workalendar/core.py | vanadium23/workalendar | 4c67b5a7900fa56d7a93b767c6cbd8f1cc6b70a7 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Working day tools
"""
from copy import copy
import warnings
from calendar import monthrange
from datetime import date, timedelta, datetime
from math import pi
import ephem
import pytz
from calverter import Calverter
from dateutil import easter
from lunardate import LunarDate
MON, TUE, WED,... | 36.080395 | 79 | 0.617646 |
c8ba04a5d03d4010fc28b87e1fd1c0e31486d263 | 10,736 | py | Python | galpy/potential/ChandrasekharDynamicalFrictionForce.py | itsx/galpy | d7fec24568347776ad89b4d4d1fc71a3f2f8d5e1 | [
"BSD-3-Clause"
] | 1 | 2019-02-28T08:54:38.000Z | 2019-02-28T08:54:38.000Z | galpy/potential/ChandrasekharDynamicalFrictionForce.py | itsx/galpy | d7fec24568347776ad89b4d4d1fc71a3f2f8d5e1 | [
"BSD-3-Clause"
] | null | null | null | galpy/potential/ChandrasekharDynamicalFrictionForce.py | itsx/galpy | d7fec24568347776ad89b4d4d1fc71a3f2f8d5e1 | [
"BSD-3-Clause"
] | null | null | null | ###############################################################################
# ChandrasekharDynamicalFrictionForce: Class that implements the
# Chandrasekhar dynamical friction
###############################################################################
import hashlib
imp... | 40.360902 | 398 | 0.573584 |
c8ba2d2d9d76c4b2aea588ca775813d7cb03179b | 4,793 | py | Python | configs/top_down/hrnet/coco-wholebody/hrnet_w32_coco_wholebody_256x192.py | irvingzhang0512/mmpose | 17557522ce3e41f830973079c5b4321935c41439 | [
"Apache-2.0"
] | null | null | null | configs/top_down/hrnet/coco-wholebody/hrnet_w32_coco_wholebody_256x192.py | irvingzhang0512/mmpose | 17557522ce3e41f830973079c5b4321935c41439 | [
"Apache-2.0"
] | null | null | null | configs/top_down/hrnet/coco-wholebody/hrnet_w32_coco_wholebody_256x192.py | irvingzhang0512/mmpose | 17557522ce3e41f830973079c5b4321935c41439 | [
"Apache-2.0"
] | null | null | null | log_level = 'INFO'
load_from = None
resume_from = None
dist_params = dict(backend='nccl')
workflow = [('train', 1)]
checkpoint_config = dict(interval=10)
evaluation = dict(interval=10, metric='mAP', key_indicator='AP')
optimizer = dict(
type='Adam',
lr=5e-4,
)
optimizer_config = dict(grad_clip=None)
# learning... | 28.194118 | 79 | 0.593365 |
c8bac33614c72b287299707efa487ca0050298be | 20,816 | py | Python | python_modules/libraries/dagster-airflow/dagster_airflow/factory.py | kstennettlull/dagster | dd6f57e170ff03bf145f1dd1417e0b2c3156b1d6 | [
"Apache-2.0"
] | null | null | null | python_modules/libraries/dagster-airflow/dagster_airflow/factory.py | kstennettlull/dagster | dd6f57e170ff03bf145f1dd1417e0b2c3156b1d6 | [
"Apache-2.0"
] | null | null | null | python_modules/libraries/dagster-airflow/dagster_airflow/factory.py | kstennettlull/dagster | dd6f57e170ff03bf145f1dd1417e0b2c3156b1d6 | [
"Apache-2.0"
] | null | null | null | import datetime
import os
import re
from collections import namedtuple
from airflow import DAG
from airflow.models.baseoperator import BaseOperator
from dagster_airflow.operators.util import check_storage_specified
from dagster import check, seven
from dagster.core.definitions.reconstruct import ReconstructableReposi... | 37.916211 | 159 | 0.693313 |
c8bac434b5706408aced098cfc9c381d0190e42b | 2,577 | py | Python | user_profiles/templatetags/user_extras.py | perimetro20/asiaticon | 40e833d9ad3e3d8a97803fa10fec64f69ca622cb | [
"MIT"
] | null | null | null | user_profiles/templatetags/user_extras.py | perimetro20/asiaticon | 40e833d9ad3e3d8a97803fa10fec64f69ca622cb | [
"MIT"
] | null | null | null | user_profiles/templatetags/user_extras.py | perimetro20/asiaticon | 40e833d9ad3e3d8a97803fa10fec64f69ca622cb | [
"MIT"
] | null | null | null | """ Utility functions and constants that will be used in the project.
"""
from django import template
register = template.Library()
# Names of groups for users
ADMIN_GROUP = 'Admin'
AGENT_GROUP = 'Agent'
EXPORT_GROUP = 'Export'
@register.filter(name='is_member')
def is_member(user, groups):
""" Test if a user b... | 31.814815 | 89 | 0.675592 |
c8bae33747dced29105121816d6bed9d4935e0a3 | 4,016 | py | Python | alipay/aop/api/request/AlipayCommerceTransportEtcBindModifyRequest.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 213 | 2018-08-27T16:49:32.000Z | 2021-12-29T04:34:12.000Z | alipay/aop/api/request/AlipayCommerceTransportEtcBindModifyRequest.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 29 | 2018-09-29T06:43:00.000Z | 2021-09-02T03:27:32.000Z | alipay/aop/api/request/AlipayCommerceTransportEtcBindModifyRequest.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 59 | 2018-08-27T16:59:26.000Z | 2022-03-25T10:08:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.FileItem import FileItem
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.AlipayCommerceTransportEtcBindModifyModel import AlipayCommerceTransportEtcBindModifyModel
class AlipayCommerceTransportEtcBindModif... | 27.696552 | 148 | 0.648406 |
c8baf174e7a64dc265058bb8aa7de8878fe2e841 | 536 | py | Python | src/djangoflash/tests/testproj/app/urls.py | duct-tape/django-flash | ce77d3ca3d6823068984f898c3b44e2fef0beb8b | [
"BSD-3-Clause"
] | null | null | null | src/djangoflash/tests/testproj/app/urls.py | duct-tape/django-flash | ce77d3ca3d6823068984f898c3b44e2fef0beb8b | [
"BSD-3-Clause"
] | null | null | null | src/djangoflash/tests/testproj/app/urls.py | duct-tape/django-flash | ce77d3ca3d6823068984f898c3b44e2fef0beb8b | [
"BSD-3-Clause"
] | null | null | null | from django.conf.urls.defaults import *
from testproj.app import views
urlpatterns = patterns('',
(r'^default/$', views.render_template),
(r'^set_flash_var/$', views.set_flash_var),
(r'^set_another_flash_var/$', views.set_another_flash_var),
(r'^set_now_var/$', views.set_now_var),
(r'^keep_var/$',... | 33.5 | 63 | 0.684701 |
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