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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
c400620022eebd6f0df3a706d1f575d077a9ad78 | 6,781 | py | Python | object/test.py | SkinLesionsResearch/NCPL | 562e9664f77e14ed9b2655b82e8498b8a8ce5d2d | [
"MIT"
] | null | null | null | object/test.py | SkinLesionsResearch/NCPL | 562e9664f77e14ed9b2655b82e8498b8a8ce5d2d | [
"MIT"
] | null | null | null | object/test.py | SkinLesionsResearch/NCPL | 562e9664f77e14ed9b2655b82e8498b8a8ce5d2d | [
"MIT"
] | null | null | null | import argparse
import os, sys
os.chdir("/home/jackie/ResearchArea/SkinCancerResearch/semi_skin_cancer")
sys.path.append("/home/jackie/ResearchArea/SkinCancerResearch/semi_skin_cancer")
print(os.getcwd())
import os.path as osp
import torchvision
import numpy as np
import torch
# import torch.nn as nn
# impo... | 38.971264 | 113 | 0.626309 |
c4009ade7b5eb056201eed0338579ec28e08eb56 | 226 | py | Python | countdownhype/urls.py | chri4354/BeeMe_platform | b73843d9146c5ba54a63a8839980ee7c8024e80d | [
"CC-BY-4.0"
] | null | null | null | countdownhype/urls.py | chri4354/BeeMe_platform | b73843d9146c5ba54a63a8839980ee7c8024e80d | [
"CC-BY-4.0"
] | 8 | 2020-06-06T01:55:55.000Z | 2022-03-12T00:31:52.000Z | countdownhype/urls.py | chri4354/BeeMe_platform | b73843d9146c5ba54a63a8839980ee7c8024e80d | [
"CC-BY-4.0"
] | null | null | null | from django.urls import path, re_path
from . import views
urlpatterns = [
path('', views.index, name='index'),
path('countdown/', views.countdown, name='countdown'),
#re_path(r'.+', views.redir, name='redir'),
]
| 22.6 | 58 | 0.650442 |
c40260dc06f3a35df8d6b1598c7152ecade68c53 | 204 | py | Python | argv.py | christoga/python | 1395b3177e7baf46677a7a7a4ae89d2488c6f0fa | [
"MIT"
] | 5 | 2015-11-15T19:08:31.000Z | 2015-11-27T02:34:28.000Z | argv.py | christoga/python | 1395b3177e7baf46677a7a7a4ae89d2488c6f0fa | [
"MIT"
] | null | null | null | argv.py | christoga/python | 1395b3177e7baf46677a7a7a4ae89d2488c6f0fa | [
"MIT"
] | null | null | null | from sys import argv
script, first, second, third = argv
print "This script called", script
print "The first variable :", first
print "The second variable :", second
print "The third variable :", third
| 22.666667 | 37 | 0.735294 |
c403737a02fdcf7c798629d6151ff7c1e4a813cf | 913 | py | Python | ryu/gui/views/topology.py | uiuc-srg/ryu | 2a597f812270ea9690269a20bf659f334c323eb6 | [
"Apache-2.0"
] | 269 | 2015-03-08T11:32:45.000Z | 2022-03-30T11:18:16.000Z | ryu/gui/views/topology.py | uiuc-srg/ryu | 2a597f812270ea9690269a20bf659f334c323eb6 | [
"Apache-2.0"
] | 4 | 2017-03-07T11:51:24.000Z | 2020-07-07T20:13:55.000Z | ryu/gui/views/topology.py | uiuc-srg/ryu | 2a597f812270ea9690269a20bf659f334c323eb6 | [
"Apache-2.0"
] | 205 | 2015-01-13T04:52:25.000Z | 2022-03-30T13:37:33.000Z | # Copyright (C) 2013 Nippon Telegraph and Telephone Corporation.
#
# 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 appli... | 33.814815 | 69 | 0.739321 |
c4038c43fba700001a9ef9e5ce94db202c34c7bb | 2,247 | py | Python | allennlp/tests/modules/token_embedders/bag_of_word_counts_token_embedder_test.py | urigoren/allennlp | 236e1fd01ca30409cd736625901292609009f5c4 | [
"Apache-2.0"
] | 1 | 2020-03-30T14:07:02.000Z | 2020-03-30T14:07:02.000Z | allennlp/tests/modules/token_embedders/bag_of_word_counts_token_embedder_test.py | urigoren/allennlp | 236e1fd01ca30409cd736625901292609009f5c4 | [
"Apache-2.0"
] | 123 | 2020-04-26T02:41:30.000Z | 2021-08-02T21:18:00.000Z | allennlp/tests/modules/token_embedders/bag_of_word_counts_token_embedder_test.py | urigoren/allennlp | 236e1fd01ca30409cd736625901292609009f5c4 | [
"Apache-2.0"
] | 2 | 2019-12-21T05:58:44.000Z | 2021-08-16T07:41:21.000Z | import numpy as np
import pytest
import torch
from numpy.testing import assert_almost_equal
from allennlp.common.checks import ConfigurationError
from allennlp.common.testing import AllenNlpTestCase
from allennlp.data import Vocabulary
from allennlp.modules.token_embedders import BagOfWordCountsTokenEmbedder
| 44.94 | 93 | 0.696484 |
c404204e3c66a1ac63a04d196c9f1142497f7ef7 | 1,020 | py | Python | dqn/ops.py | khurshedmemon/DQN-UN-TL | 1a981feff66825b6c35aafd08aba29d3c08ed745 | [
"Apache-2.0"
] | 1 | 2021-12-01T15:08:44.000Z | 2021-12-01T15:08:44.000Z | dqn/ops.py | khurshedmemon/DQN-UN-TL | 1a981feff66825b6c35aafd08aba29d3c08ed745 | [
"Apache-2.0"
] | 1 | 2021-12-02T06:09:05.000Z | 2021-12-02T06:09:05.000Z | dqn/ops.py | khurshedmemon/DQN-UN-TL | 1a981feff66825b6c35aafd08aba29d3c08ed745 | [
"Apache-2.0"
] | null | null | null | import tensorflow as tf
import numpy as np
| 32.903226 | 107 | 0.582353 |
c40422c343f9bc25ecff00b38032cd67afe03520 | 4,081 | py | Python | cellsium/model/initialization.py | modsim/CellSium | 8c3f4f5ccf84fa5555206d01cc3359c89071dcba | [
"BSD-2-Clause"
] | null | null | null | cellsium/model/initialization.py | modsim/CellSium | 8c3f4f5ccf84fa5555206d01cc3359c89071dcba | [
"BSD-2-Clause"
] | null | null | null | cellsium/model/initialization.py | modsim/CellSium | 8c3f4f5ccf84fa5555206d01cc3359c89071dcba | [
"BSD-2-Clause"
] | 1 | 2021-12-29T23:19:17.000Z | 2021-12-29T23:19:17.000Z | """Cell parameter random initializations."""
from typing import Any, Dict
import numpy as np
from ..parameters import (
Height,
NewCellBendLowerLower,
NewCellBendLowerUpper,
NewCellBendOverallLower,
NewCellBendOverallUpper,
NewCellBendUpperLower,
NewCellBendUpperUpper,
NewCellLength1Me... | 32.133858 | 81 | 0.589561 |
c4049f3019aff074a372d03e83e2c871a888286d | 7,540 | py | Python | QAOA_MaxClique.py | bernovie/QAOA-MaxClique | 59b795480e019ae19d25ace274bdb86714ed49e2 | [
"MIT"
] | 2 | 2020-06-19T06:58:11.000Z | 2021-05-18T07:17:22.000Z | QAOA_MaxClique.py | bernovie/QAOA-MaxClique | 59b795480e019ae19d25ace274bdb86714ed49e2 | [
"MIT"
] | 1 | 2020-09-21T20:26:46.000Z | 2020-09-21T20:26:46.000Z | QAOA_MaxClique.py | bernovie/QAOA-MaxClique | 59b795480e019ae19d25ace274bdb86714ed49e2 | [
"MIT"
] | 1 | 2020-09-20T12:42:02.000Z | 2020-09-20T12:42:02.000Z | import qiskit
import numpy as np
import matplotlib.pyplot as plt
import json
from graph import *
# Random comment
P =1
# measure all qubits in q_input register, return dictionary of samples
### gradient ascent optimizer
# graph is graph to optimize over
# epsilon controls how far out the delta is calculated
# eta is... | 31.157025 | 116 | 0.589125 |
c406c0be47fb741172f1a8941c81701c0d28eb02 | 253 | py | Python | yakut/cmd/file_server/__init__.py | pavel-kirienko/un | 996e64668d8902bd876fab16b64e3361094a674d | [
"MIT"
] | 1 | 2020-12-23T22:59:12.000Z | 2020-12-23T22:59:12.000Z | yakut/cmd/file_server/__init__.py | pavel-kirienko/un | 996e64668d8902bd876fab16b64e3361094a674d | [
"MIT"
] | null | null | null | yakut/cmd/file_server/__init__.py | pavel-kirienko/un | 996e64668d8902bd876fab16b64e3361094a674d | [
"MIT"
] | null | null | null | # Copyright (c) 2021 OpenCyphal
# This software is distributed under the terms of the MIT License.
# Author: Pavel Kirienko <pavel@opencyphal.org>
from ._app_descriptor import AppDescriptor as AppDescriptor
from ._cmd import file_server as file_server
| 36.142857 | 66 | 0.810277 |
c407355017835f143ce6a0c84504a53fa41a83ee | 15,959 | py | Python | src/learn_mtfixbmodel.py | ornithos/pytorch-mtds-mocap | 3ec10387d3d897e9a20d789bd4a3782a047519f7 | [
"MIT"
] | 2 | 2022-02-09T17:53:31.000Z | 2022-03-02T11:25:35.000Z | src/learn_mtfixbmodel.py | ornithos/pytorch-mtds-mocap | 3ec10387d3d897e9a20d789bd4a3782a047519f7 | [
"MIT"
] | null | null | null | src/learn_mtfixbmodel.py | ornithos/pytorch-mtds-mocap | 3ec10387d3d897e9a20d789bd4a3782a047519f7 | [
"MIT"
] | null | null | null | """Simple code for training an RNN for motion prediction."""
import os
import sys
import time
import numpy as np
import torch
import torch.optim as optim
from torch.autograd import Variable
import mtfixb_model
import mtfixb_model2
import parseopts
def create_model(args, total_num_batches):
"""Create MT model a... | 33.739958 | 119 | 0.59208 |
c408095eb7ab9da191765321215bacfdbf223067 | 11,260 | py | Python | python/tvm/topi/nn/conv2d_transpose.py | ccjoechou/tvm | 779dc51e1332f417fa4c304b595ce76891dfc33a | [
"Apache-2.0"
] | 4 | 2020-04-14T12:31:45.000Z | 2020-11-02T14:20:59.000Z | python/tvm/topi/nn/conv2d_transpose.py | ccjoechou/tvm | 779dc51e1332f417fa4c304b595ce76891dfc33a | [
"Apache-2.0"
] | null | null | null | python/tvm/topi/nn/conv2d_transpose.py | ccjoechou/tvm | 779dc51e1332f417fa4c304b595ce76891dfc33a | [
"Apache-2.0"
] | 1 | 2020-11-02T14:21:45.000Z | 2020-11-02T14:21:45.000Z | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 34.329268 | 99 | 0.653819 |
c40810867a32dd051fe382d63b22b8bac17db49f | 91,964 | py | Python | econml/solutions/causal_analysis/_causal_analysis.py | huigangchen/EconML | 9a56d651e2964ebd05144de52f577f9044a22a0b | [
"BSD-3-Clause"
] | 1,846 | 2019-05-06T21:14:19.000Z | 2022-03-31T11:52:21.000Z | econml/solutions/causal_analysis/_causal_analysis.py | cleeway/EconML | fb2d1139f6c271d4b9a24d9c6d122d4d0891afb0 | [
"BSD-3-Clause"
] | 393 | 2019-05-08T00:55:32.000Z | 2022-03-31T14:26:16.000Z | econml/solutions/causal_analysis/_causal_analysis.py | cleeway/EconML | fb2d1139f6c271d4b9a24d9c6d122d4d0891afb0 | [
"BSD-3-Clause"
] | 414 | 2019-05-14T03:51:08.000Z | 2022-03-31T09:32:17.000Z | # Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
"""Module for assessing causal feature importance."""
import warnings
from collections import OrderedDict, namedtuple
import joblib
import lightgbm as lgb
from numba.core.utils import erase_traceback
import numpy as np
from... | 51.319196 | 119 | 0.603562 |
c4083724a00de9c5692943d43c6a11f16b96a31e | 1,365 | py | Python | problem solving/mini-max-sum.py | avnoor-488/hackerrank-solutions | b62315549c254d88104b70755e4dfcd43eba59bf | [
"MIT"
] | 1 | 2020-10-01T16:54:52.000Z | 2020-10-01T16:54:52.000Z | problem solving/mini-max-sum.py | avnoor-488/hackerrank-solutions | b62315549c254d88104b70755e4dfcd43eba59bf | [
"MIT"
] | 2 | 2020-10-07T02:22:13.000Z | 2020-10-22T06:15:50.000Z | problem solving/mini-max-sum.py | avnoor-488/hackerrank-solutions | b62315549c254d88104b70755e4dfcd43eba59bf | [
"MIT"
] | 9 | 2020-10-01T12:30:56.000Z | 2020-10-22T06:10:14.000Z | '''
problem--
Given five positive integers, find the minimum and maximum values that can be calculated by summing exactly four of the five integers. Then print the respective minimum and maximum values as a single line of two space-separated long integers.
For example, arr=[1,3,5,7,9]. Our minimum sum is 1+3+5+7=16 a... | 24.375 | 242 | 0.710623 |
c40b63017932ee0022e50a1cd077dafbac537066 | 4,610 | py | Python | 19/network.py | jcsesznegi/advent-of-code-2017 | 9710e184e092b82aa798076b9ce3915c6e42758d | [
"MIT"
] | 1 | 2020-04-12T17:54:52.000Z | 2020-04-12T17:54:52.000Z | 19/network.py | jcsesznegi/advent-of-code-2017 | 9710e184e092b82aa798076b9ce3915c6e42758d | [
"MIT"
] | null | null | null | 19/network.py | jcsesznegi/advent-of-code-2017 | 9710e184e092b82aa798076b9ce3915c6e42758d | [
"MIT"
] | null | null | null | from pprint import pprint
from enum import Enum
| 37.786885 | 74 | 0.632972 |
c40cb374c8f69dbfb3dd6a423d469c3fd1845232 | 2,639 | py | Python | examples/gan.py | maxferrari/Torchelie | d133f227bebc3c4cbbb6167bd1fae815d2b5fa81 | [
"MIT"
] | 117 | 2019-07-14T20:39:48.000Z | 2021-10-17T19:16:48.000Z | examples/gan.py | maxferrari/Torchelie | d133f227bebc3c4cbbb6167bd1fae815d2b5fa81 | [
"MIT"
] | 41 | 2019-12-06T23:56:44.000Z | 2021-08-02T09:13:30.000Z | examples/gan.py | maxferrari/Torchelie | d133f227bebc3c4cbbb6167bd1fae815d2b5fa81 | [
"MIT"
] | 13 | 2019-09-22T00:46:54.000Z | 2021-04-09T15:53:15.000Z | import argparse
import copy
import torch
from torchvision.datasets import MNIST, CIFAR10
import torchvision.transforms as TF
import torchelie as tch
import torchelie.loss.gan.hinge as gan_loss
from torchelie.recipes.gan import GANRecipe
import torchelie.callbacks as tcb
from torchelie.recipes import Recipe
parser =... | 29.322222 | 84 | 0.61349 |
c40ce4ea8967938d11ba63e971d617289f172e0d | 22 | py | Python | Python/SCRIPT PYTHON/Hello.py | guimaraesalves/material-python | d56b6b24ae35a67d394b43cb1ef4420805c7bd9b | [
"MIT"
] | null | null | null | Python/SCRIPT PYTHON/Hello.py | guimaraesalves/material-python | d56b6b24ae35a67d394b43cb1ef4420805c7bd9b | [
"MIT"
] | null | null | null | Python/SCRIPT PYTHON/Hello.py | guimaraesalves/material-python | d56b6b24ae35a67d394b43cb1ef4420805c7bd9b | [
"MIT"
] | null | null | null | print ("Hello Word!")
| 11 | 21 | 0.636364 |
c40e9360b8918f73e4cf97eef85c363173d03ce0 | 21,719 | py | Python | hs_geo_raster_resource/serialization.py | tommac7/hydroshare | 87c4543a55f98103d2614bf4c47f7904c3f9c029 | [
"BSD-3-Clause"
] | 1 | 2018-09-17T13:07:29.000Z | 2018-09-17T13:07:29.000Z | hs_geo_raster_resource/serialization.py | tommac7/hydroshare | 87c4543a55f98103d2614bf4c47f7904c3f9c029 | [
"BSD-3-Clause"
] | 100 | 2017-08-01T23:48:04.000Z | 2018-04-03T13:17:27.000Z | hs_geo_raster_resource/serialization.py | tommac7/hydroshare | 87c4543a55f98103d2614bf4c47f7904c3f9c029 | [
"BSD-3-Clause"
] | 2 | 2017-07-27T20:41:33.000Z | 2017-07-27T22:40:57.000Z | import xml.sax
import rdflib
from django.db import transaction
from hs_core.serialization import GenericResourceMeta
| 47.215217 | 97 | 0.55776 |
c410261f2af66c058c52c7122ed945e7bc1bf8e8 | 857 | py | Python | setup.py | mrocklin/pygdf | 2de9407427da9497ebdf8951a12857be0fab31bb | [
"Apache-2.0"
] | 5 | 2019-01-15T12:31:49.000Z | 2021-03-05T21:17:13.000Z | setup.py | mrocklin/pygdf | 2de9407427da9497ebdf8951a12857be0fab31bb | [
"Apache-2.0"
] | 1 | 2019-06-18T20:58:21.000Z | 2019-06-18T20:58:21.000Z | setup.py | mrocklin/pygdf | 2de9407427da9497ebdf8951a12857be0fab31bb | [
"Apache-2.0"
] | null | null | null | from setuptools import setup
import versioneer
packages = ['pygdf',
'pygdf.tests',
]
install_requires = [
'numba',
]
setup(name='pygdf',
description="GPU Dataframe",
version=versioneer.get_version(),
classifiers=[
# "Development Status :: 4 - Beta",
"In... | 24.485714 | 54 | 0.588098 |
c412a68b17b363d84e8cdaf62f22ff38191fc6e5 | 335 | py | Python | pymarl/envs/__init__.py | twoodford/pymarl | c78e63e54ed772171fbcaea6c55c703cff0e9302 | [
"Apache-2.0"
] | null | null | null | pymarl/envs/__init__.py | twoodford/pymarl | c78e63e54ed772171fbcaea6c55c703cff0e9302 | [
"Apache-2.0"
] | null | null | null | pymarl/envs/__init__.py | twoodford/pymarl | c78e63e54ed772171fbcaea6c55c703cff0e9302 | [
"Apache-2.0"
] | null | null | null | from functools import partial
from .multiagentenv import MultiAgentEnv
import sys
import os
REGISTRY = {}
#REGISTRY["sc2"] = partial(env_fn, env=StarCraft2Env)
| 22.333333 | 53 | 0.740299 |
c415cf0f1a05df7a1ed0253bc2693cc05cb80cc0 | 4,938 | py | Python | gumtree_watchdog/db.py | undeadparrot/gumtree-telegram-watchdog | 48db6b37876c520bd5d2e0f9a97e19b04d70e12f | [
"MIT"
] | 1 | 2019-03-04T15:38:01.000Z | 2019-03-04T15:38:01.000Z | gumtree_watchdog/db.py | undeadparrot/gumtree-telegram-watchdog | 48db6b37876c520bd5d2e0f9a97e19b04d70e12f | [
"MIT"
] | null | null | null | gumtree_watchdog/db.py | undeadparrot/gumtree-telegram-watchdog | 48db6b37876c520bd5d2e0f9a97e19b04d70e12f | [
"MIT"
] | null | null | null | import os
import os.path
import sqlite3
import logging
from typing import List
from gumtree_watchdog.types import Listing, Contract, ListingWithChatId
TConn = sqlite3.Connection
DB_PATH = os.environ.get('GUMTREE_DB')
| 28.37931 | 92 | 0.584447 |
c4184af48713ebd40a957015c82bc531d4f8d4b7 | 3,601 | py | Python | apps/1d/mhd/shock_tube/this_app_params.py | dcseal/finess | 766e583ae9e84480640c7c3b3c157bf40ab87fe4 | [
"BSD-3-Clause"
] | null | null | null | apps/1d/mhd/shock_tube/this_app_params.py | dcseal/finess | 766e583ae9e84480640c7c3b3c157bf40ab87fe4 | [
"BSD-3-Clause"
] | null | null | null | apps/1d/mhd/shock_tube/this_app_params.py | dcseal/finess | 766e583ae9e84480640c7c3b3c157bf40ab87fe4 | [
"BSD-3-Clause"
] | null | null | null | #section [initial]
parameter_list, accessor_list, check_list = \
_parameters_accessors_checks()
| 31.587719 | 68 | 0.463482 |
c418d7e5abef02bb7493320d6cd67da6e01f6114 | 1,142 | py | Python | async-functions.py | cheezyy/python_scripts | 9db713ca085c6f1fd5ec63d79762a470093e028a | [
"MIT"
] | null | null | null | async-functions.py | cheezyy/python_scripts | 9db713ca085c6f1fd5ec63d79762a470093e028a | [
"MIT"
] | null | null | null | async-functions.py | cheezyy/python_scripts | 9db713ca085c6f1fd5ec63d79762a470093e028a | [
"MIT"
] | null | null | null | '''
Chad Meadowcroft
Credit to Sentdex (https://pythonprogramming.net/)
'''
import asyncio
if __name__ == '__main__':
try:
loop = asyncio.get_event_loop()
loop.set_debug(1)
d1, d2, d3 = loop.run_until_complete(main())
print(d1.result())
except Exception as e:
pass
f... | 29.282051 | 77 | 0.645359 |
c41996b81d3533341a720d569e52c1e49f5c467b | 1,114 | py | Python | setup.py | jackaraz/ma5_expert | 4d359b5110874c2f44f81e10307bd1ea3f9e20d0 | [
"MIT"
] | 2 | 2021-04-06T08:37:41.000Z | 2022-01-07T09:15:25.000Z | setup.py | jackaraz/ma5_expert | 4d359b5110874c2f44f81e10307bd1ea3f9e20d0 | [
"MIT"
] | null | null | null | setup.py | jackaraz/ma5_expert | 4d359b5110874c2f44f81e10307bd1ea3f9e20d0 | [
"MIT"
] | null | null | null | from setuptools import setup
import os
with open("README.md", "r", encoding="utf-8") as f:
long_description = f.read()
requirements = []
if os.path.isfile("./requirements.txt"):
with open("requirements.txt", "r") as f:
requirements = f.read()
requirements = [x for x in requirements.split("\n") if ... | 29.315789 | 67 | 0.630162 |
c41a92320c98d0d79eebb92f7c12dfc1830b9325 | 4,977 | py | Python | apitest/api_test/common/auth.py | willhuang1206/apitest | 4b41855710ba8f21788027da83a830f631e11f26 | [
"Apache-2.0"
] | null | null | null | apitest/api_test/common/auth.py | willhuang1206/apitest | 4b41855710ba8f21788027da83a830f631e11f26 | [
"Apache-2.0"
] | 3 | 2020-06-06T01:57:41.000Z | 2021-06-10T22:57:58.000Z | apitest/api_test/common/auth.py | willhuang1206/apitest | 4b41855710ba8f21788027da83a830f631e11f26 | [
"Apache-2.0"
] | null | null | null | from rest_framework.authentication import BaseAuthentication
from rest_framework import exceptions
from rest_framework.parsers import JSONParser
from django.conf import settings
import requests
from api_test.common import MD5
from api_test.models import ProjectMember
from django.contrib.auth.models import User,Group
fr... | 42.905172 | 166 | 0.569821 |
c41b88fc454a463ac7213753efc46174f0522ef0 | 12,745 | py | Python | futu/common/pb/Qot_GetPriceReminder_pb2.py | Hason-Cheung/py-futu-api | caa2f136ee07a2b123c79b2d75bbb524d7873e53 | [
"Apache-2.0"
] | 858 | 2018-11-12T12:54:56.000Z | 2022-03-10T17:35:43.000Z | futu/common/pb/Qot_GetPriceReminder_pb2.py | EricChengg/hongkong-futu-user-investment-report-generater | d450260a107f9e053036c31b05b8290b7b22c237 | [
"Apache-2.0"
] | 113 | 2018-11-12T01:52:31.000Z | 2022-02-27T03:53:07.000Z | futu/common/pb/Qot_GetPriceReminder_pb2.py | EricChengg/hongkong-futu-user-investment-report-generater | d450260a107f9e053036c31b05b8290b7b22c237 | [
"Apache-2.0"
] | 201 | 2018-11-19T08:32:45.000Z | 2022-03-23T06:39:02.000Z | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: Qot_GetPriceReminder.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflect... | 36.83526 | 1,141 | 0.748764 |
c41bd740e3e0dc24d155a81087255bfae49c7719 | 903 | py | Python | leave/models.py | shoaibsaikat/Django-Office-Management | 952aa44c2d3c2f99e91c2ed1aada17ee15fc9eb0 | [
"Apache-2.0"
] | null | null | null | leave/models.py | shoaibsaikat/Django-Office-Management | 952aa44c2d3c2f99e91c2ed1aada17ee15fc9eb0 | [
"Apache-2.0"
] | null | null | null | leave/models.py | shoaibsaikat/Django-Office-Management | 952aa44c2d3c2f99e91c2ed1aada17ee15fc9eb0 | [
"Apache-2.0"
] | null | null | null | from django.db import models
from django.db.models.deletion import CASCADE
from accounts.models import User
| 45.15 | 102 | 0.75526 |
c41c16df2e1d607a9a0d2aad44ec758217ef96ce | 22,021 | py | Python | svtk/vtk_animation_timer_callback.py | SimLeek/pglsl-neural | 8daaffded197cf7be4432754bc5941f1bca3239c | [
"MIT"
] | 5 | 2018-03-25T23:43:32.000Z | 2019-05-18T10:35:21.000Z | svtk/vtk_animation_timer_callback.py | PyGPAI/PyGPNeural | 8daaffded197cf7be4432754bc5941f1bca3239c | [
"MIT"
] | 11 | 2017-12-24T20:03:16.000Z | 2017-12-26T00:18:34.000Z | svtk/vtk_animation_timer_callback.py | SimLeek/PyGPNeural | 8daaffded197cf7be4432754bc5941f1bca3239c | [
"MIT"
] | null | null | null | import time
import numpy as np
import vtk
from vtk.util import numpy_support
from svtk.lib.toolbox.integer import minmax
from svtk.lib.toolbox.idarray import IdArray
from svtk.lib.toolbox.numpy_helpers import normalize
import math as m
| 40.629151 | 121 | 0.608374 |
c41c57d2fe8c5d4f03096ac847acc8fe35f19ed2 | 3,679 | py | Python | work/ArchitectureSearch.py | jialiasus2/AI-Studio-Contest-Quantum202103 | 350f20b8805e9696cacacc1339e71bf695571e74 | [
"Apache-2.0"
] | null | null | null | work/ArchitectureSearch.py | jialiasus2/AI-Studio-Contest-Quantum202103 | 350f20b8805e9696cacacc1339e71bf695571e74 | [
"Apache-2.0"
] | null | null | null | work/ArchitectureSearch.py | jialiasus2/AI-Studio-Contest-Quantum202103 | 350f20b8805e9696cacacc1339e71bf695571e74 | [
"Apache-2.0"
] | null | null | null | import time
import numpy as np
from tqdm import tqdm
from utils import RandomCNOT, RandomCNOTs
def RandomSearch(cnot_creater, solver, epochs=100, save_path=None):
'''
Parameters:
cnot_creater: CNOT
solver:
epochs:
save_path:
'''
best_score = 0
start_time = ... | 38.322917 | 173 | 0.59527 |
c41c9ed8f0eeeb7bc96538ff09de8ee1da20fa88 | 4,113 | py | Python | tests/localyaml/test_localyaml.py | sbussetti/jenkins-job-builder | fc63f1439816d9022a2d538614b0b7592f96b454 | [
"Apache-2.0"
] | 1 | 2021-07-30T04:03:53.000Z | 2021-07-30T04:03:53.000Z | tests/localyaml/test_localyaml.py | sbussetti/jenkins-job-builder | fc63f1439816d9022a2d538614b0b7592f96b454 | [
"Apache-2.0"
] | 12 | 2020-05-29T05:33:48.000Z | 2020-09-29T13:02:29.000Z | tests/localyaml/test_localyaml.py | sbussetti/jenkins-job-builder | fc63f1439816d9022a2d538614b0b7592f96b454 | [
"Apache-2.0"
] | 2 | 2020-05-15T08:29:33.000Z | 2020-06-04T07:27:31.000Z | #!/usr/bin/env python
#
# Copyright 2013 Darragh Bailey
#
# 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... | 33.991736 | 87 | 0.699733 |
c41dbd4f1116c76a73c6b7f3a90d3a40a1fa6018 | 24,625 | py | Python | seijibot.py | seiji56/bot-tac | b16b8a8a79d6ac2deb0476ab3a9a0e0b136b1d54 | [
"MIT"
] | null | null | null | seijibot.py | seiji56/bot-tac | b16b8a8a79d6ac2deb0476ab3a9a0e0b136b1d54 | [
"MIT"
] | null | null | null | seijibot.py | seiji56/bot-tac | b16b8a8a79d6ac2deb0476ab3a9a0e0b136b1d54 | [
"MIT"
] | null | null | null | from bot_interface import *
import math
GameState(SeijiBot()).connect()
| 37.884615 | 608 | 0.496853 |
c41f3f30efc1128fe0e35981a452b93b464ce15f | 304 | py | Python | configs/gdrn/ycbvPbrSO/resnest50d_AugCosyAAEGray_BG05_visib10_mlBCE_DoubleMask_ycbvPbr100e_SO/resnest50d_AugCosyAAEGray_BG05_visib10_mlBCE_DoubleMask_ycbvPbr100e_SO_09_10PottedMeatCan.py | THU-DA-6D-Pose-Group/self6dpp | c267cfa55e440e212136a5e9940598720fa21d16 | [
"Apache-2.0"
] | 33 | 2021-12-15T07:11:47.000Z | 2022-03-29T08:58:32.000Z | configs/gdrn/ycbvPbrSO/resnest50d_AugCosyAAEGray_BG05_visib10_mlBCE_DoubleMask_ycbvPbr100e_SO/resnest50d_AugCosyAAEGray_BG05_visib10_mlBCE_DoubleMask_ycbvPbr100e_SO_09_10PottedMeatCan.py | THU-DA-6D-Pose-Group/self6dpp | c267cfa55e440e212136a5e9940598720fa21d16 | [
"Apache-2.0"
] | 3 | 2021-12-15T11:39:54.000Z | 2022-03-29T07:24:23.000Z | configs/gdrn/ycbvPbrSO/resnest50d_AugCosyAAEGray_BG05_visib10_mlBCE_DoubleMask_ycbvPbr100e_SO/resnest50d_AugCosyAAEGray_BG05_visib10_mlBCE_DoubleMask_ycbvPbr100e_SO_09_10PottedMeatCan.py | THU-DA-6D-Pose-Group/self6dpp | c267cfa55e440e212136a5e9940598720fa21d16 | [
"Apache-2.0"
] | null | null | null | _base_ = "./resnest50d_AugCosyAAEGray_BG05_visib10_mlBCE_DoubleMask_ycbvPbr100e_SO_01_02MasterChefCan.py"
OUTPUT_DIR = (
"output/gdrn/ycbvPbrSO/resnest50d_AugCosyAAEGray_BG05_visib10_mlBCE_DoubleMask_ycbvPbr100e_SO/09_10PottedMeatCan"
)
DATASETS = dict(TRAIN=("ycbv_010_potted_meat_can_train_pbr",))
| 50.666667 | 117 | 0.871711 |
c41fd9dec58d9f797e213eba1e8064f8aba14576 | 682 | py | Python | days/01-03-datetimes/code/100day_calc.py | rhelmstedter/100daysofcode-with-python-course | 076c99939b5641be541023f61c10ff30a7f05524 | [
"MIT"
] | null | null | null | days/01-03-datetimes/code/100day_calc.py | rhelmstedter/100daysofcode-with-python-course | 076c99939b5641be541023f61c10ff30a7f05524 | [
"MIT"
] | null | null | null | days/01-03-datetimes/code/100day_calc.py | rhelmstedter/100daysofcode-with-python-course | 076c99939b5641be541023f61c10ff30a7f05524 | [
"MIT"
] | null | null | null | from datetime import date, datetime, timedelta
import time
START_DATE = date(2021, 5, 25)
duration = timedelta(days=100)
| 32.47619 | 104 | 0.668622 |
c42001c4593f0af28c9a44cdd561459d12ab258c | 195 | py | Python | output/copilot/python/timeout/palindrome-partitioning.py | nhtnhan/CMPUT663-copilot-eval | 896711d006eb37a78e010cd1b9f79dc285ad054d | [
"Apache-2.0"
] | null | null | null | output/copilot/python/timeout/palindrome-partitioning.py | nhtnhan/CMPUT663-copilot-eval | 896711d006eb37a78e010cd1b9f79dc285ad054d | [
"Apache-2.0"
] | null | null | null | output/copilot/python/timeout/palindrome-partitioning.py | nhtnhan/CMPUT663-copilot-eval | 896711d006eb37a78e010cd1b9f79dc285ad054d | [
"Apache-2.0"
] | null | null | null | # https://leetcode.com/problems/palindrome-partitioning/
| 21.666667 | 56 | 0.54359 |
c42012e1044d2e28166a8361142bd8a07f4789f3 | 6,071 | py | Python | aggregathor/ea_datasource.py | big-data-lab-umbc/autodist | c8514b27cf5608f35254b63c4ac8093c7295a8e7 | [
"Apache-2.0"
] | null | null | null | aggregathor/ea_datasource.py | big-data-lab-umbc/autodist | c8514b27cf5608f35254b63c4ac8093c7295a8e7 | [
"Apache-2.0"
] | null | null | null | aggregathor/ea_datasource.py | big-data-lab-umbc/autodist | c8514b27cf5608f35254b63c4ac8093c7295a8e7 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import keras
import random
from keras.datasets import mnist
from keras import backend as K
K.set_floatx('float64')
if __name__ == "__main__":
# m = Mnist()
# # res = m.partitioned_by_rows(9)
# # print(res["test"][1].shape)
# for _ in range(10):
# print(m.gen_dummy_non_iid_we... | 43.056738 | 135 | 0.653434 |
c42094cad42afee256fee1fad8338f794ac45419 | 255 | py | Python | proxySTAR_V3/certbot/venv/lib/python2.7/site-packages/pylint/test/functional/pygtk_enum_crash.py | mami-project/lurk | 98c293251e9b1e9c9a4b02789486c5ddaf46ba3c | [
"Apache-2.0"
] | 2 | 2017-07-05T09:57:33.000Z | 2017-11-14T23:05:53.000Z | Libraries/Python/pylint/v1.4.4/pylint/test/functional/pygtk_enum_crash.py | davidbrownell/Common_Environment | 4015872aeac8d5da30a6aa7940e1035a6aa6a75d | [
"BSL-1.0"
] | 1 | 2019-01-17T14:26:22.000Z | 2019-01-17T22:56:26.000Z | Libraries/Python/pylint/v1.4.4/pylint/test/functional/pygtk_enum_crash.py | davidbrownell/Common_Environment | 4015872aeac8d5da30a6aa7940e1035a6aa6a75d | [
"BSL-1.0"
] | 1 | 2017-08-31T14:33:03.000Z | 2017-08-31T14:33:03.000Z | # pylint: disable=C0121
"""http://www.logilab.org/ticket/124337"""
import gtk
def print_some_constant(arg=gtk.BUTTONS_OK):
"""crash because gtk.BUTTONS_OK, a gtk enum type, is returned by
astroid as a constant
"""
print(arg)
| 21.25 | 69 | 0.662745 |
c4231b8d3eab02f60fcc36025477bf600813aa38 | 1,519 | py | Python | py_at/OrderItem.py | kanghua309/at_py | 8fa7943a9de52cd81d235f06b57a25aa07fb715b | [
"Apache-2.0"
] | null | null | null | py_at/OrderItem.py | kanghua309/at_py | 8fa7943a9de52cd81d235f06b57a25aa07fb715b | [
"Apache-2.0"
] | null | null | null | py_at/OrderItem.py | kanghua309/at_py | 8fa7943a9de52cd81d235f06b57a25aa07fb715b | [
"Apache-2.0"
] | 2 | 2018-09-19T16:07:26.000Z | 2019-11-09T15:46:21.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
__title__ = ''
__author__ = 'HaiFeng'
__mtime__ = '2016/8/16'
"""
import time
from py_at.EnumDefine import *
######################################################################## | 26.649123 | 142 | 0.578012 |
c4246529ebfd4899aa1216798277f3b74d90b3f5 | 547 | py | Python | pyscf/nao/m_rf_den.py | mfkasim1/pyscf | 7be5e015b2b40181755c71d888449db936604660 | [
"Apache-2.0"
] | 3 | 2021-02-28T00:52:53.000Z | 2021-03-01T06:23:33.000Z | pyscf/nao/m_rf_den.py | mfkasim1/pyscf | 7be5e015b2b40181755c71d888449db936604660 | [
"Apache-2.0"
] | 36 | 2018-08-22T19:44:03.000Z | 2020-05-09T10:02:36.000Z | pyscf/nao/m_rf_den.py | mfkasim1/pyscf | 7be5e015b2b40181755c71d888449db936604660 | [
"Apache-2.0"
] | 4 | 2018-02-14T16:28:28.000Z | 2019-08-12T16:40:30.000Z | from __future__ import print_function, division
import numpy as np
from numpy import identity, dot, zeros, zeros_like
def rf_den_via_rf0(self, rf0, v):
""" Whole matrix of the interacting response via non-interacting response and interaction"""
rf = zeros_like(rf0)
I = identity(rf0.shape[1])
for ir,r in enume... | 28.789474 | 94 | 0.718464 |
c4253c3edd906a40552637d516df1601047e0dd5 | 669 | py | Python | app/model/compare_users.py | dwdraugr/YADS | c8036d8196a3158636aaa4f1910033e70ec8ecb4 | [
"Apache-2.0"
] | 3 | 2019-09-02T11:26:58.000Z | 2019-12-06T15:54:38.000Z | app/model/compare_users.py | dwdraugr/YADS | c8036d8196a3158636aaa4f1910033e70ec8ecb4 | [
"Apache-2.0"
] | null | null | null | app/model/compare_users.py | dwdraugr/YADS | c8036d8196a3158636aaa4f1910033e70ec8ecb4 | [
"Apache-2.0"
] | null | null | null | from app.model.model import Model
| 35.210526 | 75 | 0.560538 |
c425a0389a78978ea2d9dbb437a26224ad54fcc9 | 9,004 | py | Python | venv/Lib/site-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_histogram.py | mokshagna517/recommendation_sys | bc8ced225dff3c93d619ff5da363f42d0aa0676c | [
"MIT"
] | 25 | 2019-03-08T01:03:03.000Z | 2022-02-14T17:38:32.000Z | venv/Lib/site-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_histogram.py | mokshagna517/recommendation_sys | bc8ced225dff3c93d619ff5da363f42d0aa0676c | [
"MIT"
] | 9 | 2020-09-25T22:32:02.000Z | 2022-02-09T23:45:10.000Z | venv/Lib/site-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_histogram.py | mokshagna517/recommendation_sys | bc8ced225dff3c93d619ff5da363f42d0aa0676c | [
"MIT"
] | 31 | 2019-01-15T20:16:50.000Z | 2022-03-01T05:47:38.000Z | import numpy as np
import pytest
from numpy.testing import assert_allclose
from numpy.testing import assert_array_equal
from sklearn.ensemble._hist_gradient_boosting.histogram import (
_build_histogram_naive,
_build_histogram,
_build_histogram_no_hessian,
_build_histogram_root_no_hessian,
_build_h... | 44.35468 | 79 | 0.691804 |
c425a78347ab246234b9b4acc34bdb1ab5a3665b | 349 | py | Python | dgpolygon/gmappolygons/urls.py | mariohmol/django-google-polygon | 9d9448e540a4d100d925d7170425143f126e2174 | [
"MIT"
] | 1 | 2018-04-28T17:06:23.000Z | 2018-04-28T17:06:23.000Z | dgpolygon/gmappolygons/urls.py | mariohmol/django-google-polygon | 9d9448e540a4d100d925d7170425143f126e2174 | [
"MIT"
] | null | null | null | dgpolygon/gmappolygons/urls.py | mariohmol/django-google-polygon | 9d9448e540a4d100d925d7170425143f126e2174 | [
"MIT"
] | null | null | null | from django.conf.urls import patterns, include, url
from django.contrib import admin
from gmappolygons import views
urlpatterns = patterns('',
url(r'^$', views.index, name='index'),
url(r'^search', views.search, name='search'),
url(r'^submit/$', views.submit, name='submit'),
url(r'^show/(?P<area_id>\d+)/',... | 31.727273 | 60 | 0.673352 |
c4263856e2d9e9e21750aa2037ab8e37b21086eb | 2,407 | py | Python | apps/user/models.py | mrf-foundation/ckios_v1 | 3556a99ba5e01f00e137fd124903ace77d2cba28 | [
"Apache-2.0"
] | null | null | null | apps/user/models.py | mrf-foundation/ckios_v1 | 3556a99ba5e01f00e137fd124903ace77d2cba28 | [
"Apache-2.0"
] | null | null | null | apps/user/models.py | mrf-foundation/ckios_v1 | 3556a99ba5e01f00e137fd124903ace77d2cba28 | [
"Apache-2.0"
] | null | null | null | from django.db import models
from django import forms
from django.contrib.auth.models import User
from PIL import Image
from django.utils.timezone import now
## User Update Profile
| 44.574074 | 103 | 0.658912 |
c429c3cef7b7daf43f4b36c099ac1e6ca683a4ff | 19,880 | py | Python | slt/chmm/train.py | paper-submit-account/Sparse-CHMM | 8a33dfe375a012cc0cc3324907135b74606a7b5d | [
"Apache-2.0"
] | null | null | null | slt/chmm/train.py | paper-submit-account/Sparse-CHMM | 8a33dfe375a012cc0cc3324907135b74606a7b5d | [
"Apache-2.0"
] | null | null | null | slt/chmm/train.py | paper-submit-account/Sparse-CHMM | 8a33dfe375a012cc0cc3324907135b74606a7b5d | [
"Apache-2.0"
] | null | null | null | import os
import logging
import numpy as np
from typing import Optional
import torch
from torch.utils.data import DataLoader
from ..eval import Metric
from .dataset import CHMMBaseDataset
from .dataset import collate_fn as default_collate_fn
logger = logging.getLogger(__name__)
OUT_RECALL = 0.9
OUT_PRECISION = 0.8
... | 38.452611 | 118 | 0.604326 |
c42c480ac786f98d925a893f66e8658af5b8de1c | 6,881 | py | Python | flask_obfuscateids/lib.py | mlenzen/flask-obfuscateids | 22319633b2685f2969bd67eae3fd09d2db6567f1 | [
"BSD-3-Clause"
] | null | null | null | flask_obfuscateids/lib.py | mlenzen/flask-obfuscateids | 22319633b2685f2969bd67eae3fd09d2db6567f1 | [
"BSD-3-Clause"
] | 1 | 2015-01-26T06:23:12.000Z | 2015-01-26T06:23:12.000Z | flask_obfuscateids/lib.py | mlenzen/flask-obfuscateids | 22319633b2685f2969bd67eae3fd09d2db6567f1 | [
"BSD-3-Clause"
] | null | null | null |
from random import Random
from collections_extended import setlist
# The version of seeding to use for random
SEED_VERSION = 2
# Common alphabets to use
ALPHANUM = '0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ'
BASE58 = '123456789ABCDEFGHJKLMNPQRSTUVWXYZabcdefghijkmnopqrstuvwxyz'
def encode_ba... | 30.312775 | 98 | 0.748874 |
c42c74470081e712e5a554684e5bb789162adcd2 | 377 | py | Python | lib/response.py | dpla/akara | 432f14782152dd19931bdbd8f9fad19b5932426d | [
"Apache-2.0"
] | 5 | 2015-01-30T03:50:37.000Z | 2015-09-23T00:46:11.000Z | lib/response.py | dpla/akara | 432f14782152dd19931bdbd8f9fad19b5932426d | [
"Apache-2.0"
] | null | null | null | lib/response.py | dpla/akara | 432f14782152dd19931bdbd8f9fad19b5932426d | [
"Apache-2.0"
] | 3 | 2015-03-09T19:16:56.000Z | 2019-09-19T02:41:29.000Z | """Information for the outgoing response
code - the HTTP response code (default is "200 Ok")
headers - a list of key/value pairs used for the WSGI start_response
"""
code = None
headers = []
def add_header(key, value):
"""Helper function to append (key, value) to the list of response headers"""
headers.... | 23.5625 | 80 | 0.700265 |
c42d5c2686fc626989593bdff74f807903b98683 | 1,594 | py | Python | parte 3/desafio93.py | BrunoSoares-DEV/Exercicios-python | fcfd0a7b3e2c6af2b7dd8e5a15ca6585c97f7c67 | [
"MIT"
] | 2 | 2021-02-24T20:05:24.000Z | 2021-02-24T20:05:41.000Z | parte 3/desafio93.py | BrunoSoares-DEV/Exercicios-python | fcfd0a7b3e2c6af2b7dd8e5a15ca6585c97f7c67 | [
"MIT"
] | null | null | null | parte 3/desafio93.py | BrunoSoares-DEV/Exercicios-python | fcfd0a7b3e2c6af2b7dd8e5a15ca6585c97f7c67 | [
"MIT"
] | null | null | null | jog = {}
#pegando dados
jog['Nome do jogador'] = str(input('Digite o nome do jogador: ')).strip().title()
jog['Total partidas'] = int(input('Quantas partidas jogou: '))
#lista de gol
gols = []
#Quantos gols em cada partida
for i in range(0, jog['Total partidas']):
gols.append(int(input(f'Quantos gols na partida ... | 37.952381 | 161 | 0.717064 |
c42d617d9e6dd57810d5d84da656ddd4e8d82bf1 | 5,891 | py | Python | b2sdk/v1/account_info.py | ehossack/b2-sdk-python | 034bec38671c0862b6956915993061359dbd51f6 | [
"MIT"
] | null | null | null | b2sdk/v1/account_info.py | ehossack/b2-sdk-python | 034bec38671c0862b6956915993061359dbd51f6 | [
"MIT"
] | null | null | null | b2sdk/v1/account_info.py | ehossack/b2-sdk-python | 034bec38671c0862b6956915993061359dbd51f6 | [
"MIT"
] | null | null | null | ######################################################################
#
# File: b2sdk/v1/account_info.py
#
# Copyright 2021 Backblaze Inc. All Rights Reserved.
#
# License https://www.backblaze.com/using_b2_code.html
#
######################################################################
from abc import abstractmeth... | 30.523316 | 186 | 0.636904 |
c42ddcb403bc1b33c57898bd141f1f505a69b04f | 9,539 | py | Python | src/pyrin/security/hashing/handlers/pbkdf2.py | wilsonGmn/pyrin | 25dbe3ce17e80a43eee7cfc7140b4c268a6948e0 | [
"BSD-3-Clause"
] | null | null | null | src/pyrin/security/hashing/handlers/pbkdf2.py | wilsonGmn/pyrin | 25dbe3ce17e80a43eee7cfc7140b4c268a6948e0 | [
"BSD-3-Clause"
] | null | null | null | src/pyrin/security/hashing/handlers/pbkdf2.py | wilsonGmn/pyrin | 25dbe3ce17e80a43eee7cfc7140b4c268a6948e0 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
pbkdf2 hashing handler module.
"""
import hashlib
import re
import pyrin.configuration.services as config_services
import pyrin.security.utils.services as security_utils_services
from pyrin.security.hashing.decorators import hashing
from pyrin.security.hashing.handlers.base import Hashing... | 39.094262 | 93 | 0.588636 |
c42e18634a20b6733cded46ea5994450f7ae4da0 | 8,652 | py | Python | src/steps/prepare_ner_data.py | allanwright/media-classifier | a0da0799cc0bd6ef7360012c362f9fab273286c6 | [
"MIT"
] | 2 | 2019-08-16T00:49:27.000Z | 2021-08-15T16:37:45.000Z | src/steps/prepare_ner_data.py | allanwright/media-classifier | a0da0799cc0bd6ef7360012c362f9fab273286c6 | [
"MIT"
] | 1 | 2020-02-19T10:17:56.000Z | 2020-07-26T09:42:49.000Z | src/steps/prepare_ner_data.py | allanwright/media-classifier | a0da0799cc0bd6ef7360012c362f9fab273286c6 | [
"MIT"
] | 1 | 2019-06-27T10:57:07.000Z | 2019-06-27T10:57:07.000Z | '''Defines a pipeline step which prepares training and test data for
named entity recognition.
'''
import ast
import json
import pickle
from mccore import EntityRecognizer
from mccore import ner
from mccore import persistence
import pandas as pd
from sklearn.utils import resample
from src.step import Step
| 36.05 | 98 | 0.496417 |
c42e658ca9b791acfc8cc494fe87a5ee5b2f994f | 1,006 | py | Python | jubakit/test/__init__.py | vishalbelsare/jubakit | f6252ba627ce4e2e42eb9aafaaf05c882bc1c678 | [
"MIT"
] | 12 | 2016-04-11T04:49:08.000Z | 2019-02-08T01:43:46.000Z | jubakit/test/__init__.py | vishalbelsare/jubakit | f6252ba627ce4e2e42eb9aafaaf05c882bc1c678 | [
"MIT"
] | 138 | 2016-04-11T05:57:48.000Z | 2020-09-26T03:09:31.000Z | jubakit/test/__init__.py | vishalbelsare/jubakit | f6252ba627ce4e2e42eb9aafaaf05c882bc1c678 | [
"MIT"
] | 10 | 2016-04-11T03:18:45.000Z | 2018-04-14T10:11:15.000Z | # -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function, unicode_literals
__all__ = ['requireSklearn']
from jubakit.compat import PYTHON3
try:
import embedded_jubatus
embedded_available = True
except ImportError:
embedded_available = False
try:
import numpy
import scipy
... | 26.473684 | 82 | 0.777336 |
c42e88219fc65a0c84a4b46fac98f1c167ea84ef | 9,859 | py | Python | YoLo2Net.py | zhouyc2002/yolo2-cntk | 549cb46365d1750031eee90044b6262f9b94ff49 | [
"Apache-2.0"
] | 3 | 2017-07-27T00:05:39.000Z | 2021-02-25T08:56:10.000Z | YoLo2Net.py | zhouyc2002/yolo2-cntk | 549cb46365d1750031eee90044b6262f9b94ff49 | [
"Apache-2.0"
] | 1 | 2019-08-05T12:55:06.000Z | 2019-08-06T00:43:58.000Z | YoLo2Net.py | zhouyc2002/yolo2-cntk | 549cb46365d1750031eee90044b6262f9b94ff49 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Wed Jun 28 13:03:05 2017
@author: ZHOU Yuncheng
"""
import cntk as C
import _cntk_py
import cntk.layers
import cntk.initializer
import cntk.losses
import cntk.metrics
import cntk.logging
import cntk.io.transforms as xforms
import cntk.io
import cntk.train
import os
import numpy ... | 39.436 | 171 | 0.647733 |
c42f5f63c17465e80eb4449fa0bfca6ef5e47655 | 948 | py | Python | hqq_tool/rongcloud/demo.py | yaoruda/DRFLearning | 6b17ef0d557142e8563d80788351f8b7ab94f248 | [
"MIT"
] | 1 | 2018-09-21T09:42:02.000Z | 2018-09-21T09:42:02.000Z | hqq_tool/rongcloud/demo.py | yaoruda/DRFLearning | 6b17ef0d557142e8563d80788351f8b7ab94f248 | [
"MIT"
] | null | null | null | hqq_tool/rongcloud/demo.py | yaoruda/DRFLearning | 6b17ef0d557142e8563d80788351f8b7ab94f248 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# __author__= "Ruda"
# Date: 2018/10/16
'''
import os
from rongcloud import RongCloud
app_key = os.environ['APP_KEY']
app_secret = os.environ['APP_SECRET']
rcloud = RongCloud(app_key, app_secret)
r = rcloud.User.getToken(userId='userid1', name='username', portraitUri='http://www.rongcloud.c... | 27.085714 | 143 | 0.679325 |
c4311123dd5258af551865a612948896d2a1bbc9 | 2,132 | py | Python | registration/email.py | openstack-kr/openinfradays-2018 | 9eb0e284ab95e177dc4acca17d63ccbdaff67fb1 | [
"Apache-2.0"
] | null | null | null | registration/email.py | openstack-kr/openinfradays-2018 | 9eb0e284ab95e177dc4acca17d63ccbdaff67fb1 | [
"Apache-2.0"
] | 1 | 2018-06-17T02:21:41.000Z | 2018-06-17T02:21:41.000Z | registration/email.py | openstack-kr/openinfradays-2018 | 9eb0e284ab95e177dc4acca17d63ccbdaff67fb1 | [
"Apache-2.0"
] | 1 | 2018-05-31T11:39:02.000Z | 2018-05-31T11:39:02.000Z | from django.core.mail import EmailMessage
from django.conf import settings
| 38.071429 | 147 | 0.60272 |
c431a581714f033cba2ab3f52062e3fdddf8f0b8 | 5,767 | py | Python | train_ema.py | qym7/WTALFakeLabels | 139738025ab69f287c4fe3c97389a637f1a0b376 | [
"MIT"
] | 3 | 2021-12-24T09:27:42.000Z | 2022-01-03T10:59:47.000Z | train_ema.py | qym7/WTALFakeLabels | 139738025ab69f287c4fe3c97389a637f1a0b376 | [
"MIT"
] | 1 | 2021-12-26T02:40:40.000Z | 2021-12-26T02:50:26.000Z | train_ema.py | qym7/WTALFakeLabels | 139738025ab69f287c4fe3c97389a637f1a0b376 | [
"MIT"
] | null | null | null | '''
Author: your name
Date: 2021-12-25 17:33:51
LastEditTime: 2021-12-29 10:10:14
LastEditors: Please set LastEditors
Description: koroFileHeader : https://github.com/OBKoro1/koro1FileHeader/wiki/%E9%85%8D%E7%BD%AE
FilePath: /yimingqin/code/WTAL-Uncertainty-Modeling/train.py
'''
import torch
import torch.nn as nn
impor... | 38.704698 | 106 | 0.602393 |
c43395c47fe6f6295740535434326b1a38c6e0c8 | 3,597 | py | Python | scan/fetchers/cli/cli_fetch_oteps_lxb.py | korenlev/calipso-cvim | 39278a5cf09c40b26a8a143ccc0c8d437961abc2 | [
"Apache-2.0"
] | null | null | null | scan/fetchers/cli/cli_fetch_oteps_lxb.py | korenlev/calipso-cvim | 39278a5cf09c40b26a8a143ccc0c8d437961abc2 | [
"Apache-2.0"
] | null | null | null | scan/fetchers/cli/cli_fetch_oteps_lxb.py | korenlev/calipso-cvim | 39278a5cf09c40b26a8a143ccc0c8d437961abc2 | [
"Apache-2.0"
] | null | null | null | ###############################################################################
# Copyright (c) 2017-2020 Koren Lev (Cisco Systems), #
# Yaron Yogev (Cisco Systems), Ilia Abashin (Cisco Systems) and others #
# #
... | 43.865854 | 79 | 0.512093 |
c433cd175dc051909207a6a2031e2dac3b9eff92 | 612 | py | Python | appengine_config.py | ioriwitte/datavocab | 5f99c679a23a164ab93ac1bcaf9a30a01728ee37 | [
"Apache-2.0"
] | 13 | 2019-12-03T15:25:55.000Z | 2021-10-16T00:18:47.000Z | appengine_config.py | jesman/schemaorg | 6649c41e56a9724eaeed25dedf67736258f922bf | [
"Apache-2.0"
] | 11 | 2019-10-16T12:34:11.000Z | 2021-02-04T11:23:03.000Z | appengine_config.py | jesman/schemaorg | 6649c41e56a9724eaeed25dedf67736258f922bf | [
"Apache-2.0"
] | 9 | 2017-12-13T08:07:48.000Z | 2019-06-18T14:30:12.000Z | """`appengine_config` gets loaded when starting a new application instance."""
import vendor
# insert `lib` as a site directory so our `main` module can load
# third-party libraries, and override built-ins with newer
# versions.
vendor.add('lib')
import os
# Called only if the current namespace is not set.
| 38.25 | 78 | 0.756536 |
c433ed35cefab756913c6887caed7bdb03a9f9e5 | 270 | py | Python | 10_KNN_3D/main.py | ManMohan291/PyProgram | edcaa927bd70676bd14355acad7262ae2d32b8e5 | [
"MIT"
] | 2 | 2018-09-07T17:44:54.000Z | 2018-09-07T17:44:57.000Z | 10_KNN_3D/main.py | ManMohan291/PyProgram | edcaa927bd70676bd14355acad7262ae2d32b8e5 | [
"MIT"
] | null | null | null | 10_KNN_3D/main.py | ManMohan291/PyProgram | edcaa927bd70676bd14355acad7262ae2d32b8e5 | [
"MIT"
] | null | null | null |
import KNN as K
K.clearScreen()
dataTraining= K.loadData("dataTraining.txt")
X=dataTraining[:,0:3]
initial_centroids=K.listToArray([[3, 3,3],[6, 2,4],[8,5,7]])
idx=K.KMean_Run(X,initial_centroids,5)
K.SaveData(K.concatenateVectors(X,idx))
K.plotKNN2(X,idx)
| 12.272727 | 60 | 0.703704 |
c434ee7e49ec7f84e8ed989b7259f62a6d292fde | 3,793 | py | Python | hummingbird/graphics/state_plotbox.py | don4get/hummingbird | ec9da37b74f17702201f475d79b842f41694c095 | [
"MIT"
] | null | null | null | hummingbird/graphics/state_plotbox.py | don4get/hummingbird | ec9da37b74f17702201f475d79b842f41694c095 | [
"MIT"
] | null | null | null | hummingbird/graphics/state_plotbox.py | don4get/hummingbird | ec9da37b74f17702201f475d79b842f41694c095 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import pyqtgraph as pg
from pyqtgraph import ViewBox
from hummingbird.graphics.plotter_args import PlotBoxArgs
from hummingbird.graphics.state_plot import StatePlot
| 35.12037 | 108 | 0.627472 |
c4355d1898179dbc210d3d0618bca78d79edd5b7 | 348 | py | Python | quizapp/jsonify_quiz_output.py | malgulam/100ProjectsOfCode | 95026b15d858a6e97dfd847c5ec576bbc260ff61 | [
"MIT"
] | 8 | 2020-12-13T16:15:34.000Z | 2021-11-13T22:45:28.000Z | quizapp/jsonify_quiz_output.py | malgulam/100ProjectsOfCode | 95026b15d858a6e97dfd847c5ec576bbc260ff61 | [
"MIT"
] | 1 | 2021-06-02T03:42:39.000Z | 2021-06-02T03:42:39.000Z | quizapp/jsonify_quiz_output.py | malgulam/100ProjectsOfCode | 95026b15d858a6e97dfd847c5ec576bbc260ff61 | [
"MIT"
] | 1 | 2020-12-14T20:01:14.000Z | 2020-12-14T20:01:14.000Z | import json
#start
print('start')
with open('quizoutput.txt') as f:
lines = f.readlines()
print('loaded quiz data')
print('changing to json')
json_output = json.loads(lines[0])
print(json_output)
with open('quizoutput.txt', 'w') as f:
f.write(json_output)
# for item in json_output:
# print(item['ques... | 19.333333 | 38 | 0.666667 |
c43704aafbacbc4c468d75623400e2f129cb8ef2 | 6,544 | py | Python | panku/lambdaCollect.py | mccartney/panku-gdzie-jestes | 50a677170162c5255a24eacdbf8062ad876bee3f | [
"MIT"
] | null | null | null | panku/lambdaCollect.py | mccartney/panku-gdzie-jestes | 50a677170162c5255a24eacdbf8062ad876bee3f | [
"MIT"
] | null | null | null | panku/lambdaCollect.py | mccartney/panku-gdzie-jestes | 50a677170162c5255a24eacdbf8062ad876bee3f | [
"MIT"
] | null | null | null | #!/usr/bin/python
import requests
import boto3
import time
import geopy.distance
import xml.etree.ElementTree as ET
import itertools
import sys
import pickle
S3_BUCKET = "panku-gdzie-jestes-latest-storage"
def lambda_handler(event, context):
services = [Traficar, Veturilo, Panek]
for service in services:
prin... | 38.046512 | 137 | 0.636461 |
c4372286ca07457197e0279205b6dabde1342c8d | 1,412 | py | Python | data/migrations/0039_2_data_update_questionnaires_vmsettings.py | Duke-GCB/bespin-api | cea5c20fb2ff592adabe6ebb7ca934939aa11a34 | [
"MIT"
] | null | null | null | data/migrations/0039_2_data_update_questionnaires_vmsettings.py | Duke-GCB/bespin-api | cea5c20fb2ff592adabe6ebb7ca934939aa11a34 | [
"MIT"
] | 137 | 2016-12-09T18:59:45.000Z | 2021-06-10T18:55:47.000Z | data/migrations/0039_2_data_update_questionnaires_vmsettings.py | Duke-GCB/bespin-api | cea5c20fb2ff592adabe6ebb7ca934939aa11a34 | [
"MIT"
] | 3 | 2017-11-14T16:05:58.000Z | 2018-12-28T18:07:43.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.10.1 on 2017-12-08 18:42
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
def update_questionnaires(apps, schema_editor):
"""
Forward migration function to normalize settings into VMSettings and C... | 36.205128 | 112 | 0.71813 |
c438178586df87a3168fc1363cc17cdd53b3728e | 4,872 | py | Python | app/models.py | maxnovais/Flapy_Blog | e543faa4c8f99ef3a2cdb1470de507d9cfb330bf | [
"Apache-2.0"
] | null | null | null | app/models.py | maxnovais/Flapy_Blog | e543faa4c8f99ef3a2cdb1470de507d9cfb330bf | [
"Apache-2.0"
] | null | null | null | app/models.py | maxnovais/Flapy_Blog | e543faa4c8f99ef3a2cdb1470de507d9cfb330bf | [
"Apache-2.0"
] | null | null | null | from datetime import datetime
from . import db
from config import COMMENTS_INITIAL_ENABLED
from flask.ext.security import UserMixin, RoleMixin
from markdown import markdown
import bleach
# Define models
roles_users = db.Table(
'roles_users',
db.Column('user_id', db.Integer(), db.ForeignKey('user.id')),
db.... | 36.909091 | 77 | 0.632389 |
c43aafbe58eb02eba9cd936508eecb607d118824 | 751 | py | Python | 8.1-triple-step.py | rithvikp1998/ctci | 52068e94449e61aef6bac9646a7863260acc7a05 | [
"MIT"
] | null | null | null | 8.1-triple-step.py | rithvikp1998/ctci | 52068e94449e61aef6bac9646a7863260acc7a05 | [
"MIT"
] | null | null | null | 8.1-triple-step.py | rithvikp1998/ctci | 52068e94449e61aef6bac9646a7863260acc7a05 | [
"MIT"
] | null | null | null | '''
If the child is currently on the nth step,
then there are three possibilites as to how
it reached there:
1. Reached (n-3)th step and hopped 3 steps in one time
2. Reached (n-2)th step and hopped 2 steps in one time
3. Reached (n-1)th step and hopped 2 steps in one time
The total number of possibilities is the sum... | 25.896552 | 79 | 0.701731 |
c43e6b9c823f200efcc9e2b9380194f0c4a67a27 | 9,604 | py | Python | terrain_relative_navigation/peak_extractor_algorithm.py | rschwa6308/Landmark-Based-TRN | 5d712221138ec6250ed5bd19caed49810f17014e | [
"Apache-2.0"
] | null | null | null | terrain_relative_navigation/peak_extractor_algorithm.py | rschwa6308/Landmark-Based-TRN | 5d712221138ec6250ed5bd19caed49810f17014e | [
"Apache-2.0"
] | null | null | null | terrain_relative_navigation/peak_extractor_algorithm.py | rschwa6308/Landmark-Based-TRN | 5d712221138ec6250ed5bd19caed49810f17014e | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
/***************************************************************************
PeakExtractor
A QGIS plugin
This plugin procedurally extracts morphological peaks from a given DEM.
Generated by Plugin Builder: http://g-sherman.github.io/Qgis-Plugin-Builder/
... | 32.890411 | 138 | 0.570596 |
c43f47ff2e792fe2c4acc6424f3c4c0fdde3ecb2 | 3,657 | py | Python | manila/tests/api/views/test_quota_class_sets.py | openstack/manila | 1ebae738c235c6f1874ac7b11307e0d5fb567dba | [
"Apache-2.0"
] | 159 | 2015-01-02T09:35:15.000Z | 2022-01-04T11:51:34.000Z | manila/tests/api/views/test_quota_class_sets.py | openstack/manila | 1ebae738c235c6f1874ac7b11307e0d5fb567dba | [
"Apache-2.0"
] | 5 | 2015-07-24T09:28:21.000Z | 2020-11-20T04:33:51.000Z | manila/tests/api/views/test_quota_class_sets.py | openstack/manila | 1ebae738c235c6f1874ac7b11307e0d5fb567dba | [
"Apache-2.0"
] | 128 | 2015-01-05T22:52:28.000Z | 2021-12-29T14:00:58.000Z | # Copyright (c) 2017 Mirantis, Inc.
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | 41.089888 | 79 | 0.654908 |
c441a8d53ebaea6e35e7d68f0992cf2efeee375b | 2,429 | py | Python | tests/sequence_utils_test.py | rmcolq/genofunk | ffa031fb361fc736e839d0e36d36f8ed7ade30dc | [
"MIT"
] | 1 | 2021-01-09T23:25:02.000Z | 2021-01-09T23:25:02.000Z | tests/sequence_utils_test.py | rmcolq/genofunk | ffa031fb361fc736e839d0e36d36f8ed7ade30dc | [
"MIT"
] | null | null | null | tests/sequence_utils_test.py | rmcolq/genofunk | ffa031fb361fc736e839d0e36d36f8ed7ade30dc | [
"MIT"
] | null | null | null | import os
import unittest
import json
import filecmp
from genofunk.sequence_utils import *
this_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) | 34.211268 | 94 | 0.645533 |
c442b7615909101f05f7c648d2d237c13e312b98 | 1,630 | py | Python | Modules/Biophotonics/python/iMC/msi/test/test_nrrdwriter.py | SVRTK/MITK | 52252d60e42702e292d188e30f6717fe50c23962 | [
"BSD-3-Clause"
] | 5 | 2015-02-05T10:58:41.000Z | 2019-04-17T15:04:07.000Z | Modules/Biophotonics/python/iMC/msi/test/test_nrrdwriter.py | wyyrepo/MITK | d0837f3d0d44f477b888ec498e9a2ed407e79f20 | [
"BSD-3-Clause"
] | 141 | 2015-03-03T06:52:01.000Z | 2020-12-10T07:28:14.000Z | Modules/Biophotonics/python/iMC/msi/test/test_nrrdwriter.py | wyyrepo/MITK | d0837f3d0d44f477b888ec498e9a2ed407e79f20 | [
"BSD-3-Clause"
] | 4 | 2015-02-19T06:48:13.000Z | 2020-06-19T16:20:25.000Z | # -*- coding: utf-8 -*-
"""
Created on Thu Aug 13 09:52:47 2015
@author: wirkert
"""
import unittest
import os
import numpy as np
import msi.msimanipulations as msimani
from msi.io.nrrdreader import NrrdReader
from msi.io.nrrdwriter import NrrdWriter
from msi.test import helpers
| 29.636364 | 76 | 0.633129 |
c4438dbc98a70b3fe8296d0282cdfe5e4623856b | 3,369 | py | Python | crossplatformshell/__init__.py | ryanpdwyer/crossplatformshell | d6239ae362cff42faffc85714f7a5e1b56dc6463 | [
"MIT"
] | null | null | null | crossplatformshell/__init__.py | ryanpdwyer/crossplatformshell | d6239ae362cff42faffc85714f7a5e1b56dc6463 | [
"MIT"
] | null | null | null | crossplatformshell/__init__.py | ryanpdwyer/crossplatformshell | d6239ae362cff42faffc85714f7a5e1b56dc6463 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
============================
crossplatformshell
============================
"""
from __future__ import (print_function, division, absolute_import,
unicode_literals)
import pathlib
import io
import os
import shutil
import distutils.dir_util
import platform
# Use subp... | 23.234483 | 74 | 0.62808 |
c444346fedeae3b1a36842a83b1d34e2d12fa382 | 28,857 | py | Python | collections/nemo_nlp/nemo_nlp/data/data_layers.py | Giuseppe5/NeMo | f946aca100c9a1bf22e6bd25fba9f80299722112 | [
"Apache-2.0"
] | 2 | 2020-05-12T05:16:10.000Z | 2021-12-01T02:30:45.000Z | collections/nemo_nlp/nemo_nlp/data/data_layers.py | Giuseppe5/NeMo | f946aca100c9a1bf22e6bd25fba9f80299722112 | [
"Apache-2.0"
] | 3 | 2020-11-13T17:45:41.000Z | 2022-03-12T00:28:59.000Z | collections/nemo_nlp/nemo_nlp/data/data_layers.py | Giuseppe5/NeMo | f946aca100c9a1bf22e6bd25fba9f80299722112 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2019 NVIDIA Corporation
# If you want to add your own data layer, you should put its name in
# __all__ so that it can be imported with 'from text_data_layers import *'
__all__ = ['TextDataLayer',
'BertSentenceClassificationDataLayer',
'BertJointIntentSlotDataLayer',
'... | 34.851449 | 79 | 0.537547 |
c446129e206d55ad3a8c2ed465762b2ddf662a3e | 12,208 | py | Python | h2o-py/h2o/automl/_base.py | vishalbelsare/h2o-3 | 9322fb0f4c0e2358449e339a434f607d524c69fa | [
"Apache-2.0"
] | null | null | null | h2o-py/h2o/automl/_base.py | vishalbelsare/h2o-3 | 9322fb0f4c0e2358449e339a434f607d524c69fa | [
"Apache-2.0"
] | 58 | 2021-10-01T12:43:37.000Z | 2021-12-08T22:58:43.000Z | h2o-py/h2o/automl/_base.py | vishalbelsare/h2o-3 | 9322fb0f4c0e2358449e339a434f607d524c69fa | [
"Apache-2.0"
] | null | null | null | import h2o
from h2o.base import Keyed
from h2o.exceptions import H2OValueError
from h2o.job import H2OJob
from h2o.model import ModelBase
from h2o.utils.typechecks import assert_is_type, is_type
def get_best_model(self, algorithm=None, criterion=None):
"""
Get best model of a given family/algorith... | 42.096552 | 173 | 0.63442 |
c44725a87dd7a0e5d3208fe6f2ccd197531d2ad1 | 2,687 | py | Python | Pistol.py | KRHS-GameProgramming-2014/survival-island | 375b2710a2bc29551170b18638e2c00c6b2dc7c5 | [
"BSD-3-Clause"
] | 1 | 2015-04-01T12:46:26.000Z | 2015-04-01T12:46:26.000Z | Pistol.py | KRHS-GameProgramming-2014/survival-island | 375b2710a2bc29551170b18638e2c00c6b2dc7c5 | [
"BSD-3-Clause"
] | null | null | null | Pistol.py | KRHS-GameProgramming-2014/survival-island | 375b2710a2bc29551170b18638e2c00c6b2dc7c5 | [
"BSD-3-Clause"
] | null | null | null | import math,sys,pygame
| 33.17284 | 79 | 0.519166 |
c447c656ac034795409e4bb710eaaca13a84688c | 3,388 | py | Python | appdaemon/apps/common/common.py | Mithras/ha | d37f8673eed27a85f76c97ee3e924d2ddc033ee5 | [
"MIT"
] | 3 | 2019-10-27T06:10:26.000Z | 2020-07-21T01:27:11.000Z | appdaemon/apps/common/common.py | Mithras/ha | d37f8673eed27a85f76c97ee3e924d2ddc033ee5 | [
"MIT"
] | null | null | null | appdaemon/apps/common/common.py | Mithras/ha | d37f8673eed27a85f76c97ee3e924d2ddc033ee5 | [
"MIT"
] | null | null | null | import hassapi as hass
import csv
from collections import namedtuple
Profile = namedtuple(
"Profile", ["profile", "x_color", "y_color", "brightness"])
with open("/config/light_profiles.csv") as profiles_file:
profiles_reader = csv.reader(profiles_file)
next(profiles_reader)
LIGHT_PROFILES = [Profile(r... | 41.317073 | 80 | 0.602715 |
c448522cb4d655aac706a30087c1d285bd8f1d0f | 3,133 | py | Python | src/mongo_model.py | zxteloiv/curated-geokb-subsearcher | 8f42dca4cb293ccf3baf25bb31ba9b6cd6a76c8d | [
"MIT"
] | null | null | null | src/mongo_model.py | zxteloiv/curated-geokb-subsearcher | 8f42dca4cb293ccf3baf25bb31ba9b6cd6a76c8d | [
"MIT"
] | null | null | null | src/mongo_model.py | zxteloiv/curated-geokb-subsearcher | 8f42dca4cb293ccf3baf25bb31ba9b6cd6a76c8d | [
"MIT"
] | null | null | null | # coding: utf-8
from pymongo import MongoClient
import conf
| 34.054348 | 99 | 0.452601 |
c448639417746f765b5ac2d5c6459142e8c6a83b | 8,809 | py | Python | src/dcm/agent/plugins/builtin/configure_server.py | JPWKU/unix-agent | 8f1278fc8c2768a8d4d54af642a881bace43652f | [
"Apache-2.0"
] | null | null | null | src/dcm/agent/plugins/builtin/configure_server.py | JPWKU/unix-agent | 8f1278fc8c2768a8d4d54af642a881bace43652f | [
"Apache-2.0"
] | 22 | 2015-09-15T20:52:34.000Z | 2016-03-11T22:44:24.000Z | src/dcm/agent/plugins/builtin/configure_server.py | JPWKU/unix-agent | 8f1278fc8c2768a8d4d54af642a881bace43652f | [
"Apache-2.0"
] | 3 | 2015-09-11T20:21:33.000Z | 2016-09-30T08:30:19.000Z | #
# Copyright (C) 2014 Dell, 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 wri... | 38.635965 | 79 | 0.595187 |
c44957a976ba959e51bd70f903dcac90438fe807 | 17,184 | py | Python | phy/plot/interact.py | ycanerol/phy | 7a247f926dd5bf5d8ab95fe138e8f4a0db11b068 | [
"BSD-3-Clause"
] | 118 | 2019-06-03T06:19:43.000Z | 2022-03-25T00:05:26.000Z | phy/plot/interact.py | ycanerol/phy | 7a247f926dd5bf5d8ab95fe138e8f4a0db11b068 | [
"BSD-3-Clause"
] | 761 | 2015-01-08T11:17:41.000Z | 2019-05-27T16:12:08.000Z | phy/plot/interact.py | ycanerol/phy | 7a247f926dd5bf5d8ab95fe138e8f4a0db11b068 | [
"BSD-3-Clause"
] | 70 | 2019-05-30T11:05:26.000Z | 2022-03-30T11:51:23.000Z | # -*- coding: utf-8 -*-
"""Common layouts."""
#------------------------------------------------------------------------------
# Imports
#------------------------------------------------------------------------------
import logging
import numpy as np
from phylib.utils import emit
from phylib.utils.geometry import g... | 33.694118 | 97 | 0.557437 |
c44cda7d547bb9bf0fd8879defc0c14046119449 | 623 | py | Python | AutocompleteHandler.py | codeforamerica/sheltraustin | a07ffd4b328a9d961347a85b49c95d8bf5ec1046 | [
"BSD-3-Clause"
] | null | null | null | AutocompleteHandler.py | codeforamerica/sheltraustin | a07ffd4b328a9d961347a85b49c95d8bf5ec1046 | [
"BSD-3-Clause"
] | 1 | 2015-08-03T21:27:36.000Z | 2015-08-03T21:27:36.000Z | AutocompleteHandler.py | codeforamerica/sheltraustin | a07ffd4b328a9d961347a85b49c95d8bf5ec1046 | [
"BSD-3-Clause"
] | 1 | 2021-04-17T10:13:29.000Z | 2021-04-17T10:13:29.000Z |
import tornado.httpserver
import tornado.ioloop
import tornado.options
import tornado.web
import simplejson
from QueryHandler import QueryHandler | 23.074074 | 62 | 0.746388 |
c44d0eafae3c92e64f9041228d582ce1a1b6ed30 | 1,869 | py | Python | mirari/SV/migrations/0052_auto_20190428_1522.py | gcastellan0s/mirariapp | 24a9db06d10f96c894d817ef7ccfeec2a25788b7 | [
"MIT"
] | null | null | null | mirari/SV/migrations/0052_auto_20190428_1522.py | gcastellan0s/mirariapp | 24a9db06d10f96c894d817ef7ccfeec2a25788b7 | [
"MIT"
] | 18 | 2019-12-27T19:58:20.000Z | 2022-02-27T08:17:49.000Z | mirari/SV/migrations/0052_auto_20190428_1522.py | gcastellan0s/mirariapp | 24a9db06d10f96c894d817ef7ccfeec2a25788b7 | [
"MIT"
] | null | null | null | # Generated by Django 2.0.5 on 2019-04-28 20:22
from django.db import migrations, models
import django.db.models.deletion
| 37.38 | 147 | 0.604066 |
c44d2937a78223f5c0f6b30adbd02a5949d5f2e6 | 3,339 | py | Python | svl/compiler/plot_validators.py | timothyrenner/svl | a74c09c49f2e14046acd4b0eeb861f8fef6bca96 | [
"MIT"
] | 8 | 2019-03-27T12:49:21.000Z | 2020-10-10T11:16:25.000Z | svl/compiler/plot_validators.py | timothyrenner/svl | a74c09c49f2e14046acd4b0eeb861f8fef6bca96 | [
"MIT"
] | 65 | 2018-08-26T14:48:45.000Z | 2020-03-17T12:24:42.000Z | svl/compiler/plot_validators.py | timothyrenner/svl | a74c09c49f2e14046acd4b0eeb861f8fef6bca96 | [
"MIT"
] | 1 | 2019-09-13T19:39:07.000Z | 2019-09-13T19:39:07.000Z | from toolz import get
PLOT_VALIDATORS = [
(
{"line", "scatter", "bar"},
lambda x: ("x" not in x) or ("y" not in x),
"XY plot does not have X and Y.",
),
(
{"histogram"},
lambda x: ("step" in x) and ("bins" in x),
"Histogram cannot have STEP and BINS.",
),... | 29.289474 | 77 | 0.481881 |
c44dbf415c5fb9329410760b9f9c0e517b6fdb6f | 7,421 | py | Python | decision_tree.py | cjbayron/ml-models | b3171c9a82fe5ecdcdc5abcdc20af7c18f9f8ec4 | [
"MIT"
] | 1 | 2018-12-15T16:36:41.000Z | 2018-12-15T16:36:41.000Z | decision_tree.py | cjbayron/ml-models | b3171c9a82fe5ecdcdc5abcdc20af7c18f9f8ec4 | [
"MIT"
] | null | null | null | decision_tree.py | cjbayron/ml-models | b3171c9a82fe5ecdcdc5abcdc20af7c18f9f8ec4 | [
"MIT"
] | null | null | null | '''
Building a Decision Tree using CART (from scratch)
Note: Code was tested only on dataset with numerical features.
Categorical features are not yet fully supported.
'''
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from sklearn.metrics im... | 31.849785 | 87 | 0.597898 |
c44e49588a5ae8bdc21c7e3ab11388f043afd9f0 | 8,816 | py | Python | codegen/codegen/fblas_routine.py | spcl/fblas | 96425fbdbaeab6f43997d839836b8224a04f3b53 | [
"BSD-3-Clause"
] | 68 | 2019-02-07T21:30:21.000Z | 2022-02-16T20:09:27.000Z | codegen/codegen/fblas_routine.py | spcl/fblas | 96425fbdbaeab6f43997d839836b8224a04f3b53 | [
"BSD-3-Clause"
] | 2 | 2019-03-15T17:49:03.000Z | 2019-07-24T14:05:35.000Z | codegen/codegen/fblas_routine.py | spcl/fblas | 96425fbdbaeab6f43997d839836b8224a04f3b53 | [
"BSD-3-Clause"
] | 25 | 2019-03-15T03:00:15.000Z | 2021-08-04T10:21:43.000Z | """
FBlas Routine class: it used to represent a routine definition, specified by the user using JSON file.
It is used by the Host and Module Codegen (specified by the _codegen variable). Accordingly,
some class members could be invalid.
"""
from codegen import fblas_types
from codegen import generator_def... | 27.810726 | 153 | 0.678993 |
c451451a751c9fd2575b893cf89c5f54e2fd8166 | 840 | py | Python | test_hoyolab.py | c3kay/hoyolab-json-feed | 43839194a253271c9c2fcbb564eb4b3e6179c01e | [
"Unlicense"
] | 1 | 2021-09-17T12:40:40.000Z | 2021-09-17T12:40:40.000Z | test_hoyolab.py | c3kay/hoyolab-json-feed | 43839194a253271c9c2fcbb564eb4b3e6179c01e | [
"Unlicense"
] | null | null | null | test_hoyolab.py | c3kay/hoyolab-json-feed | 43839194a253271c9c2fcbb564eb4b3e6179c01e | [
"Unlicense"
] | null | null | null | from hoyolab import main
from os import environ
from os.path import exists
import atoma
| 24.705882 | 62 | 0.713095 |
c453263bed6e1f5fabe0695622acd9caad9d7447 | 194,112 | py | Python | thirdweb/abi/nft_collection/__init__.py | princetonwong/python-sdk | f35181d97620e29d055498fca75f3702f3bb2449 | [
"Apache-2.0"
] | 1 | 2022-02-18T16:59:12.000Z | 2022-02-18T16:59:12.000Z | thirdweb/abi/nft_collection/__init__.py | princetonwong/python-sdk | f35181d97620e29d055498fca75f3702f3bb2449 | [
"Apache-2.0"
] | null | null | null | thirdweb/abi/nft_collection/__init__.py | princetonwong/python-sdk | f35181d97620e29d055498fca75f3702f3bb2449 | [
"Apache-2.0"
] | null | null | null | """Generated wrapper for NFTCollection Solidity contract."""
# pylint: disable=too-many-arguments
import json
from typing import ( # pylint: disable=unused-import
Any,
List,
Optional,
Tuple,
Union,
)
from eth_utils import to_checksum_address
from mypy_extensions import TypedDict # pylint: disab... | 37.684333 | 17,643 | 0.634865 |
c45419a203ad566f8ae9d52cc297219542ecf9f1 | 237 | py | Python | sausage_grinder/urls.py | jesseerdmann/audiobonsai | ec1edcdbadc6b2aff3b743b5c42515f4d5638830 | [
"Apache-2.0"
] | null | null | null | sausage_grinder/urls.py | jesseerdmann/audiobonsai | ec1edcdbadc6b2aff3b743b5c42515f4d5638830 | [
"Apache-2.0"
] | null | null | null | sausage_grinder/urls.py | jesseerdmann/audiobonsai | ec1edcdbadc6b2aff3b743b5c42515f4d5638830 | [
"Apache-2.0"
] | null | null | null | from django.urls import path
from . import views as sg
urlpatterns = [
path('artist', sg.artist),
path('genre', sg.genre),
path('release', sg.release),
path('track', sg.track),
path('', sg.sausage_grinder_index),
]
| 19.75 | 39 | 0.637131 |
c45577ce768212873fbaadfacdbe638ce864abf9 | 1,194 | py | Python | sails/ui/mmck/parameters/string.py | metrasynth/solar-sails | 3a10774dad29d85834d3acb38171741b3a11ef91 | [
"MIT"
] | 6 | 2016-11-22T14:32:55.000Z | 2021-08-15T01:35:33.000Z | sails/ui/mmck/parameters/string.py | metrasynth/solar-sails | 3a10774dad29d85834d3acb38171741b3a11ef91 | [
"MIT"
] | 2 | 2022-03-18T16:47:43.000Z | 2022-03-18T16:47:44.000Z | sails/ui/mmck/parameters/string.py | metrasynth/solar-sails | 3a10774dad29d85834d3acb38171741b3a11ef91 | [
"MIT"
] | 2 | 2019-07-09T23:44:08.000Z | 2021-08-15T01:35:37.000Z | from PyQt5.QtCore import pyqtSlot
from PyQt5.QtWidgets import QComboBox
from PyQt5.QtWidgets import QLineEdit
from sf.mmck.parameters import String
from .manager import widget_class_for
from .widget import ParameterWidget
| 35.117647 | 89 | 0.707705 |
c455ef3791cf634263613f0736425fbda6d62c4c | 550 | py | Python | plot_top_performers.py | jmphil09/mario_rl | 6e93c1318e9957d679a5ec8d29687756ac7fc4b1 | [
"MIT"
] | null | null | null | plot_top_performers.py | jmphil09/mario_rl | 6e93c1318e9957d679a5ec8d29687756ac7fc4b1 | [
"MIT"
] | null | null | null | plot_top_performers.py | jmphil09/mario_rl | 6e93c1318e9957d679a5ec8d29687756ac7fc4b1 | [
"MIT"
] | null | null | null | from FitnessPlot import FitnessPlot
'''
for n in range(1,6):
plot = FitnessPlot(folder_prefix='data_top{}'.format(n))
plot.plot_all_workers()
plot.plot_workers_as_average()
'''
plot = FitnessPlot(folder_prefix='data_top1', num_workers=16)
worker_dict = plot.create_worker_dict()
#plot.plot_all_workers()
#... | 23.913043 | 61 | 0.703636 |
c456582b3a99628d95abc79fe354227dac957e3b | 3,696 | py | Python | test/PySrc/tests/test_code_tracer_width.py | lifubang/live-py-plugin | 38a3cf447fd7d9c4e6014b71134e178b0d8a01de | [
"MIT"
] | 224 | 2015-03-22T23:40:52.000Z | 2022-03-01T21:45:51.000Z | test/PySrc/tests/test_code_tracer_width.py | lifubang/live-py-plugin | 38a3cf447fd7d9c4e6014b71134e178b0d8a01de | [
"MIT"
] | 371 | 2015-04-28T05:14:00.000Z | 2022-03-28T01:31:22.000Z | test/PySrc/tests/test_code_tracer_width.py | lifubang/live-py-plugin | 38a3cf447fd7d9c4e6014b71134e178b0d8a01de | [
"MIT"
] | 53 | 2015-10-30T07:52:07.000Z | 2022-02-28T12:56:35.000Z | from space_tracer.main import replace_input, TraceRunner
| 25.666667 | 73 | 0.446699 |
c45760cde68ead756aaeedf9a4958bde55f0fdc2 | 458 | py | Python | benchmark/src/benchmark/bench_logging.py | lwanfuturewei/QFlock | 90d6875d9adc8fe2968694904f8421d41e30e189 | [
"Apache-2.0"
] | null | null | null | benchmark/src/benchmark/bench_logging.py | lwanfuturewei/QFlock | 90d6875d9adc8fe2968694904f8421d41e30e189 | [
"Apache-2.0"
] | null | null | null | benchmark/src/benchmark/bench_logging.py | lwanfuturewei/QFlock | 90d6875d9adc8fe2968694904f8421d41e30e189 | [
"Apache-2.0"
] | 2 | 2022-03-03T15:28:23.000Z | 2022-03-04T15:33:19.000Z |
import logging
| 26.941176 | 86 | 0.530568 |
c45814f676d4f4897bba48b176daa7d8a452554e | 6,921 | py | Python | tools/configure-gateway/threescale/proxies.py | jparsai/f8a-3scale-connect-api | a782753d662eee5d450da3c20e9ae9eb13b8b560 | [
"Apache-2.0"
] | 1 | 2018-09-14T05:18:52.000Z | 2018-09-14T05:18:52.000Z | tools/configure-gateway/threescale/proxies.py | jparsai/f8a-3scale-connect-api | a782753d662eee5d450da3c20e9ae9eb13b8b560 | [
"Apache-2.0"
] | 48 | 2017-12-05T12:05:56.000Z | 2021-03-25T22:09:29.000Z | tools/configure-gateway/threescale/proxies.py | jparsai/f8a-3scale-connect-api | a782753d662eee5d450da3c20e9ae9eb13b8b560 | [
"Apache-2.0"
] | 5 | 2018-01-29T04:53:13.000Z | 2020-04-16T13:59:42.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""ThreeScale Proxies Rule interface for APIs."""
from .base import ThreeScale
import logging
import requests
import xmltodict
import json
logger = logging.getLogger(__name__)
| 38.237569 | 91 | 0.566681 |
c458cb4e772b1e30729560fd59117cb1dab40b05 | 241 | py | Python | src/__main__.py | Grox2006/Kayambot | a49cf7fd16fdc049500ae645784cc671b04edf87 | [
"MIT"
] | null | null | null | src/__main__.py | Grox2006/Kayambot | a49cf7fd16fdc049500ae645784cc671b04edf87 | [
"MIT"
] | null | null | null | src/__main__.py | Grox2006/Kayambot | a49cf7fd16fdc049500ae645784cc671b04edf87 | [
"MIT"
] | null | null | null | import sys
from __init__ import Bot
MESSAGE_USAGE = "Usage is python %s [name] [token]"
if __name__ == "__main__":
if len(sys.argv) == 3:
Bot(sys.argv[1], sys.argv[2])
else:
print(MESSAGE_USAGE.format(sys.argv[0]))
| 21.909091 | 51 | 0.630705 |
c45a35a45e18477dcb0c3a971fc4e41ecd533922 | 985 | py | Python | app/__init__.py | logicalicy/flask-react-boilerplate | 2a999c969a7fc7d244830ebba02a00f0feca79dd | [
"MIT"
] | 2 | 2017-02-27T16:48:08.000Z | 2019-05-10T11:22:07.000Z | app/__init__.py | logicalicy/flask-react-boilerplate | 2a999c969a7fc7d244830ebba02a00f0feca79dd | [
"MIT"
] | null | null | null | app/__init__.py | logicalicy/flask-react-boilerplate | 2a999c969a7fc7d244830ebba02a00f0feca79dd | [
"MIT"
] | null | null | null | # Created with tutorials:
# https://www.digitalocean.com/community/tutorials/how-to-structure-large-flask-applications
# http://flask.pocoo.org/docs/0.12/tutorial
from flask import Flask, g, render_template
from flask_sqlalchemy import SQLAlchemy
import sqlite3
# Define WSGI application object.
app = Flask(__name__... | 25.921053 | 92 | 0.792893 |
c45c0b6aabc6d08c2689d66882739d5b4c1b5f06 | 19,075 | py | Python | dumpcode/cpiter.py | gkfthddk/keras | 46d96c65d69c39df298800336bbb4d867a2561fb | [
"MIT"
] | null | null | null | dumpcode/cpiter.py | gkfthddk/keras | 46d96c65d69c39df298800336bbb4d867a2561fb | [
"MIT"
] | null | null | null | dumpcode/cpiter.py | gkfthddk/keras | 46d96c65d69c39df298800336bbb4d867a2561fb | [
"MIT"
] | null | null | null | import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
import subprocess
import numpy as np
import datetime
import random
import warnings
import ROOT as rt
import math
from keras.preprocessing.sequence import pad_sequences
from keras.callbacks import Callback
from array import array
from sklearn.metrics import roc_auc_sco... | 39.739583 | 841 | 0.654522 |
c45d9da847d632f929a40311d340ee5e03a9dfff | 287 | py | Python | addons/iap_crm/models/crm_lead.py | SHIVJITH/Odoo_Machine_Test | 310497a9872db7844b521e6dab5f7a9f61d365a4 | [
"Apache-2.0"
] | null | null | null | addons/iap_crm/models/crm_lead.py | SHIVJITH/Odoo_Machine_Test | 310497a9872db7844b521e6dab5f7a9f61d365a4 | [
"Apache-2.0"
] | null | null | null | addons/iap_crm/models/crm_lead.py | SHIVJITH/Odoo_Machine_Test | 310497a9872db7844b521e6dab5f7a9f61d365a4 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
from odoo import fields, models
| 26.090909 | 99 | 0.703833 |
c45f0b40e801dd329eac9e771b4dd170e217817c | 6,600 | py | Python | vitrage/tests/unit/datasources/kubernetes/test_kubernetes_transformer.py | openstack/vitrage | 95b33dbf39b040e23915882a2879c87aec239ca9 | [
"Apache-2.0"
] | 89 | 2015-09-30T21:42:17.000Z | 2022-03-28T16:31:19.000Z | vitrage/tests/unit/datasources/kubernetes/test_kubernetes_transformer.py | openstack/vitrage | 95b33dbf39b040e23915882a2879c87aec239ca9 | [
"Apache-2.0"
] | 4 | 2015-12-13T13:06:53.000Z | 2016-01-03T19:51:28.000Z | vitrage/tests/unit/datasources/kubernetes/test_kubernetes_transformer.py | openstack/vitrage | 95b33dbf39b040e23915882a2879c87aec239ca9 | [
"Apache-2.0"
] | 43 | 2015-11-04T15:54:27.000Z | 2021-12-10T14:24:03.000Z | # Copyright 2018 - Nokia
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, sof... | 39.759036 | 79 | 0.700455 |
c45fabb5527e1d2513cfd056db4a65258232ae26 | 1,058 | py | Python | two_children.py | daniel2019-max/HackerRank-preparation-month | 400f8c0cfaa9fc8e13a683c15ecb5d2341d9c209 | [
"MIT"
] | null | null | null | two_children.py | daniel2019-max/HackerRank-preparation-month | 400f8c0cfaa9fc8e13a683c15ecb5d2341d9c209 | [
"MIT"
] | null | null | null | two_children.py | daniel2019-max/HackerRank-preparation-month | 400f8c0cfaa9fc8e13a683c15ecb5d2341d9c209 | [
"MIT"
] | null | null | null | # Two children, Lily and Ron, want to share a chocolate bar. Each of the squares has an integer on it.
# Lily decides to share a contiguous segment of the bar selected such that:
# The length of the segment matches Ron's birth month, and,
# The sum of the integers on the squares is equal to his birth day.
# Determine... | 31.117647 | 102 | 0.670132 |
c46046acfa73778c21a31da519b8cdbcc2cefaef | 3,517 | py | Python | sdk/python/pulumi_sonarqube/get_users.py | jshield/pulumi-sonarqube | 53664a97903af3ecdf4f613117d83d0acae8e53e | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_sonarqube/get_users.py | jshield/pulumi-sonarqube | 53664a97903af3ecdf4f613117d83d0acae8e53e | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_sonarqube/get_users.py | jshield/pulumi-sonarqube | 53664a97903af3ecdf4f613117d83d0acae8e53e | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from . import ... | 31.972727 | 119 | 0.644868 |
c460565d7c12782c020979637ad1d6a595e59cab | 504 | py | Python | rl/valuefunction/FeatureExtractor.py | nickswalker/counterpoint-reinforcement-learning | 1d0481bd2c9976533175339e411a41f4eb1650aa | [
"MIT"
] | 1 | 2016-12-09T18:29:30.000Z | 2016-12-09T18:29:30.000Z | rl/valuefunction/FeatureExtractor.py | nickswalker/counterpoint-reinforcement-learning | 1d0481bd2c9976533175339e411a41f4eb1650aa | [
"MIT"
] | null | null | null | rl/valuefunction/FeatureExtractor.py | nickswalker/counterpoint-reinforcement-learning | 1d0481bd2c9976533175339e411a41f4eb1650aa | [
"MIT"
] | null | null | null | from abc import abstractmethod
from typing import List
from rl.action import Action
from rl.state import State
| 19.384615 | 67 | 0.684524 |
c4606fc8327fb668e73c4a4c899e2f956318eefb | 563 | py | Python | yxf_utils/jsonx.py | yanyaming/yxf_utils | c1e1f7012f089374088210e55a953548b3c4da8b | [
"MIT"
] | null | null | null | yxf_utils/jsonx.py | yanyaming/yxf_utils | c1e1f7012f089374088210e55a953548b3c4da8b | [
"MIT"
] | null | null | null | yxf_utils/jsonx.py | yanyaming/yxf_utils | c1e1f7012f089374088210e55a953548b3c4da8b | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
json
"""
import json
# jsonpythonor
# json-pythonor
# pythonjsonjson
| 20.851852 | 58 | 0.735346 |
c4611f97e3d7c75a5d43b772cd3ffe6b29e5f96b | 1,044 | py | Python | ggshield/scan/scannable_errors.py | rgajason/gg-shield | 45c3534bdd174880710b97aedac068f6ddd52eaf | [
"MIT"
] | null | null | null | ggshield/scan/scannable_errors.py | rgajason/gg-shield | 45c3534bdd174880710b97aedac068f6ddd52eaf | [
"MIT"
] | 1 | 2021-06-02T04:28:09.000Z | 2021-06-02T04:28:09.000Z | ggshield/scan/scannable_errors.py | rgajason/gg-shield | 45c3534bdd174880710b97aedac068f6ddd52eaf | [
"MIT"
] | null | null | null | from ast import literal_eval
from typing import Dict, List
import click
from pygitguardian.models import Detail
from ggshield.text_utils import STYLE, display_error, format_text, pluralize
| 32.625 | 80 | 0.598659 |
c461b7cff1ea76d96382e29fc4f6db6ef1e4b933 | 18,049 | py | Python | Packs/Base/Scripts/DBotPreprocessTextData/DBotPreprocessTextData.py | matan-xmcyber/content | 7f02301c140b35956af3cd20cb8dfc64f34afb3e | [
"MIT"
] | 1 | 2021-08-07T00:21:58.000Z | 2021-08-07T00:21:58.000Z | Packs/Base/Scripts/DBotPreprocessTextData/DBotPreprocessTextData.py | matan-xmcyber/content | 7f02301c140b35956af3cd20cb8dfc64f34afb3e | [
"MIT"
] | 48 | 2022-03-08T13:45:00.000Z | 2022-03-31T14:32:05.000Z | Packs/Base/Scripts/DBotPreprocessTextData/DBotPreprocessTextData.py | matan-xmcyber/content | 7f02301c140b35956af3cd20cb8dfc64f34afb3e | [
"MIT"
] | 2 | 2020-12-10T12:02:45.000Z | 2020-12-15T09:20:01.000Z | # pylint: disable=no-member
from CommonServerUserPython import *
from CommonServerPython import *
from sklearn.feature_extraction.text import TfidfVectorizer
import pickle
import uuid
import spacy
import string
from html.parser import HTMLParser
from html import unescape
from re import compile as _Re
import pandas as p... | 40.559551 | 120 | 0.633165 |
c464ae6c792d78df3c469e563d6a59248c7a5e64 | 2,799 | py | Python | punc_recover/tester/punc_tester.py | Z-yq/audioSamples.github.io | 53c474288f0db1a3acfe40ba57a4cd5f2aecbcd3 | [
"Apache-2.0"
] | 1 | 2022-03-03T02:51:55.000Z | 2022-03-03T02:51:55.000Z | punc_recover/tester/punc_tester.py | RapidAI/TensorflowASR | 084519b5a0464f465e1d72c24cba07c1ec55cd26 | [
"Apache-2.0"
] | null | null | null | punc_recover/tester/punc_tester.py | RapidAI/TensorflowASR | 084519b5a0464f465e1d72c24cba07c1ec55cd26 | [
"Apache-2.0"
] | null | null | null | import logging
import os
import tensorflow as tf
from punc_recover.models.punc_transformer import PuncTransformer
from punc_recover.tester.base_tester import BaseTester
from utils.text_featurizers import TextFeaturizer
| 36.350649 | 94 | 0.599857 |
c464fcd2cef62b8d92f36f587767dd193dd32e2a | 13,293 | py | Python | moztrap/model/core/migrations/0003_auto__add_field_productversion_cc_version__add_field_product.py | mbeko/moztrap | db75e1f8756ef2c0c39652a66302b19c8afa0256 | [
"BSD-2-Clause"
] | null | null | null | moztrap/model/core/migrations/0003_auto__add_field_productversion_cc_version__add_field_product.py | mbeko/moztrap | db75e1f8756ef2c0c39652a66302b19c8afa0256 | [
"BSD-2-Clause"
] | null | null | null | moztrap/model/core/migrations/0003_auto__add_field_productversion_cc_version__add_field_product.py | mbeko/moztrap | db75e1f8756ef2c0c39652a66302b19c8afa0256 | [
"BSD-2-Clause"
] | null | null | null | # encoding: utf-8
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
| 85.76129 | 187 | 0.568871 |