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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7982d122e6b4b0f1c01e5685de02f090bd0d7420 | 1,030 | py | Python | craynn/subnetworks/maxout_nets.py | maxim-borisyak/craynn | fceabd33f5969033fb3605f894778c42c42f3e08 | [
"MIT"
] | null | null | null | craynn/subnetworks/maxout_nets.py | maxim-borisyak/craynn | fceabd33f5969033fb3605f894778c42c42f3e08 | [
"MIT"
] | null | null | null | craynn/subnetworks/maxout_nets.py | maxim-borisyak/craynn | fceabd33f5969033fb3605f894778c42c42f3e08 | [
"MIT"
] | null | null | null | import theano.tensor as T
from ..layers import *
from ..layers.conv_ops import get_conv_nonlinearity
__all__ = [
'maxout2d',
'maxdropout2d'
]
def _maxout(incoming, conv_op, pool_size=5, f=None):
f = get_conv_nonlinearity(f)
return nonlinearity(f)(
feature_pool(pool_size, f=T.max)(conv_op(incoming))
)
... | 23.953488 | 92 | 0.68932 |
7982d1bfa0c3d1ffdd900de3ee7de65837bf34c9 | 85 | py | Python | django_gotolong/mfund/apps.py | ParikhKadam/gotolong | 839beb8aa37055a2078eaa289b8ae05b62e8905e | [
"BSD-2-Clause",
"BSD-3-Clause"
] | 15 | 2019-12-06T16:19:45.000Z | 2021-08-20T13:22:22.000Z | django_gotolong/mfund/apps.py | ParikhKadam/gotolong | 839beb8aa37055a2078eaa289b8ae05b62e8905e | [
"BSD-2-Clause",
"BSD-3-Clause"
] | 14 | 2020-12-08T10:45:05.000Z | 2021-09-21T17:23:45.000Z | django_gotolong/mfund/apps.py | ParikhKadam/gotolong | 839beb8aa37055a2078eaa289b8ae05b62e8905e | [
"BSD-2-Clause",
"BSD-3-Clause"
] | 9 | 2020-01-01T03:04:29.000Z | 2021-04-18T08:42:30.000Z | from django.apps import AppConfig
class MfundConfig(AppConfig):
name = 'mfund'
| 14.166667 | 33 | 0.741176 |
7982d1eba02a3072a6e63f01f20a9a6d1e489980 | 4,792 | py | Python | Develop/trainNetwork.py | einthomas/CVSP2019-Project-01a-Shot-Type-Classification-dl-based | 5fb005e3186127e8d4d5ad2d22e7c13107ae8e21 | [
"MIT"
] | 2 | 2020-05-25T09:55:52.000Z | 2022-03-11T07:36:48.000Z | Develop/trainNetwork.py | einthomas/CVSP2019-Project-01a-Shot-Type-Classification-dl-based | 5fb005e3186127e8d4d5ad2d22e7c13107ae8e21 | [
"MIT"
] | 2 | 2021-06-08T20:51:54.000Z | 2022-03-12T00:13:38.000Z | Develop/trainNetwork.py | einthomas/CVSP2019-Project-01a-Shot-Type-Classification-dl-based | 5fb005e3186127e8d4d5ad2d22e7c13107ae8e21 | [
"MIT"
] | null | null | null | import yaml
from argparse import ArgumentParser
import datetime
import tensorflow as tf
from keras.utils import to_categorical
from keras.preprocessing.image import ImageDataGenerator
from shotTypeML_pkg.imageUtil import *
from Develop.lr_finder import LRFinder
from shotTypeML_pkg.loadModel import *
# Fix "failed to ... | 43.563636 | 125 | 0.704716 |
7982d1f3ea7b332334671c7559eb5f6317f43eb7 | 13,259 | py | Python | Magnetic circuit/AutoML_SM.py | Duchanoy/ASAMS | 829e9c8c32a4d26b3acdc25de95804aa956e44f3 | [
"MIT"
] | null | null | null | Magnetic circuit/AutoML_SM.py | Duchanoy/ASAMS | 829e9c8c32a4d26b3acdc25de95804aa956e44f3 | [
"MIT"
] | null | null | null | Magnetic circuit/AutoML_SM.py | Duchanoy/ASAMS | 829e9c8c32a4d26b3acdc25de95804aa956e44f3 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# In[1]:
def TestData(data):
print(type(data))
print(data)
castdata=list(data)
print(type(castdata))
print(castdata)
return False
# In[ ]:
def AutoSBTest( inputs_train,outputs_train):
# firstmodel
from sklearn.neural_network import MLPReg... | 33.652284 | 119 | 0.685874 |
7982d1f8810cfcb8dfc4e54580358908da78d653 | 361 | py | Python | DSA/math/countPrimes.py | lance-lh/Data-Structures-and-Algorithms | c432654edaeb752536e826e88bcce3ed2ab000fb | [
"MIT"
] | 1 | 2019-03-27T13:00:28.000Z | 2019-03-27T13:00:28.000Z | DSA/math/countPrimes.py | lance-lh/Data-Structures-and-Algorithms | c432654edaeb752536e826e88bcce3ed2ab000fb | [
"MIT"
] | null | null | null | DSA/math/countPrimes.py | lance-lh/Data-Structures-and-Algorithms | c432654edaeb752536e826e88bcce3ed2ab000fb | [
"MIT"
] | null | null | null | class Solution:
def countPrimes(self, n: int) -> int:
if n < 3:
return 0
res = [True] * n
res[0] = res[1] = False
for i in range(2, n // 2 + 1):
if res[i] == True:
res[i * i: n: i] = [False] * len(res[i * i: n: i])
return sum(res)
# tes... | 27.769231 | 66 | 0.445983 |
7982d262010306d123049e54e58d3d81c5675b9a | 1,733 | py | Python | tests/backends/test_http.py | triagemd/stored | a14ba2ed1d646847b37e3dab5c54cac98f33467e | [
"MIT"
] | 3 | 2017-09-29T23:53:20.000Z | 2019-08-29T17:22:24.000Z | tests/backends/test_http.py | triagemd/stored | a14ba2ed1d646847b37e3dab5c54cac98f33467e | [
"MIT"
] | 3 | 2017-09-05T02:10:20.000Z | 2018-02-20T21:31:16.000Z | tests/backends/test_http.py | triagemd/stored | a14ba2ed1d646847b37e3dab5c54cac98f33467e | [
"MIT"
] | null | null | null | import pytest
import os
from stored.backends.local import LocalFileStorage
from stored.backends.http import HTTPStorage
@pytest.fixture
def sample_https_url():
return 'https://storage.googleapis.com/stored-http-01de4705-5b30-4631-b04e-c987c1476c4a/foo.tar.gz'
@pytest.fixture
def sample_http_url():
return '... | 32.698113 | 103 | 0.74322 |
7982d29f13c096302d165ae5e68352ebd0513adf | 7,705 | py | Python | netbox/secrets/api/views.py | orphanedgamboa/netbox | 5cdc38ec3adb5278480b267a6c8e674e9d3fca39 | [
"Apache-2.0"
] | 1 | 2022-02-18T03:00:08.000Z | 2022-02-18T03:00:08.000Z | netbox/secrets/api/views.py | orphanedgamboa/netbox | 5cdc38ec3adb5278480b267a6c8e674e9d3fca39 | [
"Apache-2.0"
] | 1 | 2021-08-23T15:38:47.000Z | 2021-08-23T15:40:10.000Z | netbox/secrets/api/views.py | orphanedgamboa/netbox | 5cdc38ec3adb5278480b267a6c8e674e9d3fca39 | [
"Apache-2.0"
] | 1 | 2018-12-05T12:03:21.000Z | 2018-12-05T12:03:21.000Z | import base64
from Crypto.PublicKey import RSA
from django.http import HttpResponseBadRequest
from rest_framework.exceptions import ValidationError
from rest_framework.permissions import IsAuthenticated
from rest_framework.response import Response
from rest_framework.routers import APIRootView
from rest_framework.view... | 34.397321 | 120 | 0.666061 |
7982d2dd66ee3a4bcf2c58a9712f55712b65116e | 366 | py | Python | cafe/migrations/0002_cafe_comment.py | MoGakCo/MogakCo | c0a5c6366179e3e2ad9daeb7cf4c8ca59790ac63 | [
"MIT"
] | 7 | 2018-02-06T07:42:20.000Z | 2019-03-25T03:49:11.000Z | cafe/migrations/0002_cafe_comment.py | MoGakCo/MogakCo | c0a5c6366179e3e2ad9daeb7cf4c8ca59790ac63 | [
"MIT"
] | null | null | null | cafe/migrations/0002_cafe_comment.py | MoGakCo/MogakCo | c0a5c6366179e3e2ad9daeb7cf4c8ca59790ac63 | [
"MIT"
] | 1 | 2018-01-21T12:15:00.000Z | 2018-01-21T12:15:00.000Z | # Generated by Django 2.0.1 on 2018-01-23 07:17
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('cafe', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='cafe',
name='comment',
field=m... | 19.263158 | 47 | 0.571038 |
7982d457f26c5cecb13c91ed8e03df0a86605171 | 1,017 | py | Python | setup.py | pi11/vkontakte | 87ccd1c031a2ffec35b74fa8a20df20e23db24b1 | [
"MIT"
] | null | null | null | setup.py | pi11/vkontakte | 87ccd1c031a2ffec35b74fa8a20df20e23db24b1 | [
"MIT"
] | null | null | null | setup.py | pi11/vkontakte | 87ccd1c031a2ffec35b74fa8a20df20e23db24b1 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from distutils.core import setup
version = '1.3.6'
setup(
name='vkontakte',
version=version,
author='Mikhail Korobov',
author_email='kmike84@gmail.com',
packages=['vkontakte'],
url='http://bitbucket.org/kmike/vkontakte/',
license='MIT license',
description="vk.com... | 30.818182 | 76 | 0.603736 |
7982d5c990d2fdef818106a3b34f805d7bde7cf9 | 1,587 | py | Python | tests/basics/gen_yield_from_close.py | peterson79/pycom-micropython-sigfox | 3f93fc2c02567c96f18cff4af9125db8fd7a6fb4 | [
"MIT"
] | 303 | 2015-07-11T17:12:55.000Z | 2018-01-08T03:02:37.000Z | tests/basics/gen_yield_from_close.py | peterson79/pycom-micropython-sigfox | 3f93fc2c02567c96f18cff4af9125db8fd7a6fb4 | [
"MIT"
] | 27 | 2015-01-02T16:17:37.000Z | 2015-09-07T19:21:26.000Z | tests/basics/gen_yield_from_close.py | peterson79/pycom-micropython-sigfox | 3f93fc2c02567c96f18cff4af9125db8fd7a6fb4 | [
"MIT"
] | 26 | 2018-01-18T09:15:33.000Z | 2022-02-07T13:09:14.000Z | def gen():
yield 1
yield 2
yield 3
yield 4
def gen2():
yield -1
print((yield from gen()))
yield 10
yield 11
g = gen2()
print(next(g))
print(next(g))
g.close()
try:
print(next(g))
except StopIteration:
print("StopIteration")
# Now variation of same test, but with leaf generato... | 18.034091 | 75 | 0.636421 |
7982d671b2e77af4d02791c7678b129ab9a42807 | 15,497 | py | Python | chapter09/RandomWalk.py | haoyuan80s/Free_trail | c86ae317e6d1df567fbac6606dee3fdbd864ea82 | [
"Apache-2.0"
] | null | null | null | chapter09/RandomWalk.py | haoyuan80s/Free_trail | c86ae317e6d1df567fbac6606dee3fdbd864ea82 | [
"Apache-2.0"
] | null | null | null | chapter09/RandomWalk.py | haoyuan80s/Free_trail | c86ae317e6d1df567fbac6606dee3fdbd864ea82 | [
"Apache-2.0"
] | null | null | null | #######################################################################
# Copyright (C) 2016 Shangtong Zhang(zhangshangtong.cpp@gmail.com) #
# Permission given to modify the code as long as you keep this #
# declaration at the top #
################################... | 34.668904 | 133 | 0.621927 |
7982d6905fc09e51ce5b583e9db894e790625def | 3,113 | py | Python | python_modules/dagster/dagster_tests/execution_tests/test_event_metadata.py | ymrzkrrs/dagster | b5713af752146674d1f96436d0a01363e6834cb7 | [
"Apache-2.0"
] | 1 | 2021-07-03T09:05:58.000Z | 2021-07-03T09:05:58.000Z | python_modules/dagster/dagster_tests/execution_tests/test_event_metadata.py | ymrzkrrs/dagster | b5713af752146674d1f96436d0a01363e6834cb7 | [
"Apache-2.0"
] | 1 | 2021-06-21T18:30:02.000Z | 2021-06-25T21:18:39.000Z | python_modules/dagster/dagster_tests/execution_tests/test_event_metadata.py | ymrzkrrs/dagster | b5713af752146674d1f96436d0a01363e6834cb7 | [
"Apache-2.0"
] | 1 | 2021-11-30T21:40:46.000Z | 2021-11-30T21:40:46.000Z | import pytest
from dagster import (
AssetMaterialization,
DagsterEventType,
EventMetadata,
FloatMetadataEntryData,
IntMetadataEntryData,
PythonArtifactMetadataEntryData,
TextMetadataEntryData,
UrlMetadataEntryData,
execute_pipeline,
pipeline,
solid,
)
from dagster.core.defini... | 29.367925 | 93 | 0.673627 |
7982d69b720dfcac88574e50f42f3662ff3f649d | 2,200 | py | Python | docs/conf.py | timolesterhuis/diagnostics | b83fcaf853fb4468061e049b430b0d506fef464c | [
"MIT"
] | 2 | 2019-05-01T06:24:06.000Z | 2019-05-08T07:23:29.000Z | docs/conf.py | tim00w/diagnostics | b83fcaf853fb4468061e049b430b0d506fef464c | [
"MIT"
] | 42 | 2019-03-12T05:53:48.000Z | 2019-07-26T23:59:46.000Z | docs/conf.py | timolesterhuis/diagnostics | b83fcaf853fb4468061e049b430b0d506fef464c | [
"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:
# http://www.sphinx-doc.org/en/master/config
# -- Path setup --------------------------------------------------------------
# If extensions (or module... | 31.884058 | 79 | 0.675455 |
7982d6afd8cf365a3503d537b08b621b865bdfcd | 1,284 | py | Python | iv/Leetcode/easy/563_binary_tree_tilt.py | iamsuman/iv | bf68d3fd45455b6041e74b09272f69503bf7a8ac | [
"MIT"
] | 2 | 2020-09-19T22:28:15.000Z | 2020-10-03T01:44:53.000Z | iv/Leetcode/easy/563_binary_tree_tilt.py | iamsuman/iv | bf68d3fd45455b6041e74b09272f69503bf7a8ac | [
"MIT"
] | null | null | null | iv/Leetcode/easy/563_binary_tree_tilt.py | iamsuman/iv | bf68d3fd45455b6041e74b09272f69503bf7a8ac | [
"MIT"
] | 1 | 2020-10-03T01:43:30.000Z | 2020-10-03T01:43:30.000Z | class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
class Solution:
def findTilt(self, root: TreeNode) -> int:
# TODO improve binary tree traversing
self.summ = 0
def traversal(root):
if... | 27.913043 | 91 | 0.57866 |
7982d9479b9359812a60ec4f94013a585e38be63 | 29 | py | Python | modules/tests/project/__init__.py | PeterDaveHello/eden | 26174a9dde2f19cd3bc879694f373ad5f765b6ed | [
"MIT"
] | 1 | 2017-11-16T14:50:19.000Z | 2017-11-16T14:50:19.000Z | modules/tests/project/__init__.py | PeterDaveHello/eden | 26174a9dde2f19cd3bc879694f373ad5f765b6ed | [
"MIT"
] | null | null | null | modules/tests/project/__init__.py | PeterDaveHello/eden | 26174a9dde2f19cd3bc879694f373ad5f765b6ed | [
"MIT"
] | 1 | 2019-12-16T15:14:46.000Z | 2019-12-16T15:14:46.000Z | from create_project import * | 29 | 29 | 0.827586 |
7982d9d835a2b184d651aecbc23e58f072750095 | 35,492 | py | Python | Lib/test/test_contextlib.py | Amandubey34/cpython | 732eebea20ad05e17e21715651da16278ca088e2 | [
"0BSD"
] | 7 | 2017-10-26T02:49:39.000Z | 2021-12-18T05:12:06.000Z | Lib/test/test_contextlib.py | Amandubey34/cpython | 732eebea20ad05e17e21715651da16278ca088e2 | [
"0BSD"
] | 17 | 2018-09-30T00:28:58.000Z | 2022-03-01T19:02:55.000Z | Lib/test/test_contextlib.py | Amandubey34/cpython | 732eebea20ad05e17e21715651da16278ca088e2 | [
"0BSD"
] | 2 | 2020-10-31T13:04:58.000Z | 2020-11-03T08:01:40.000Z | """Unit tests for contextlib.py, and other context managers."""
import io
import sys
import tempfile
import threading
import unittest
from contextlib import * # Tests __all__
from test import support
from test.support import os_helper
import weakref
class TestAbstractContextManager(unittest.TestCase):
def test... | 31.717605 | 81 | 0.575369 |
7982da780d13f1d2a757172cdf61ef795d2ccdf8 | 6,887 | py | Python | Simulation/modules/test_icache.py | fabmoraleshidalgo/Algol | 3529c5e9e60dc05b80b21b05f942e2987f2b5c1b | [
"MIT"
] | 22 | 2016-05-30T13:00:10.000Z | 2021-11-17T11:06:17.000Z | Simulation/modules/test_icache.py | June34/Algol | 3529c5e9e60dc05b80b21b05f942e2987f2b5c1b | [
"MIT"
] | null | null | null | Simulation/modules/test_icache.py | June34/Algol | 3529c5e9e60dc05b80b21b05f942e2987f2b5c1b | [
"MIT"
] | 12 | 2016-06-17T01:48:03.000Z | 2021-03-14T21:04:02.000Z | #!/usr/bin/env python
# Copyright (c) 2015 Angel Terrones (<angelterrones@gmail.com>)
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the r... | 33.759804 | 132 | 0.554959 |
7982db73c7c64f0e49ba80e0585d0e2017b47ff4 | 1,510 | py | Python | src/test-apps/happy/bin/weave-state.py | aiw-google/openweave-core | 5dfb14b21d0898ef95bb62ff564cadfeea4b4702 | [
"Apache-2.0"
] | 1 | 2021-08-10T12:08:31.000Z | 2021-08-10T12:08:31.000Z | src/test-apps/happy/bin/weave-state.py | aiw-google/openweave-core | 5dfb14b21d0898ef95bb62ff564cadfeea4b4702 | [
"Apache-2.0"
] | 1 | 2020-04-30T05:38:44.000Z | 2020-04-30T05:38:44.000Z | src/test-apps/happy/bin/weave-state.py | aiw-google/openweave-core | 5dfb14b21d0898ef95bb62ff564cadfeea4b4702 | [
"Apache-2.0"
] | 1 | 2021-03-16T03:22:52.000Z | 2021-03-16T03:22:52.000Z | #!/usr/bin/env python
#
# Copyright (c) 2016-2017 Nest Labs, 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/licen... | 26.034483 | 77 | 0.631788 |
7982dd11bb88dd9e1f7ab7632685959beaabc3b7 | 7,855 | py | Python | o-gan.py | HesseSummer/vq-vae-2-pytorch | 12281d82b86fd91e56bf5d44802b533429fc7308 | [
"MIT"
] | null | null | null | o-gan.py | HesseSummer/vq-vae-2-pytorch | 12281d82b86fd91e56bf5d44802b533429fc7308 | [
"MIT"
] | null | null | null | o-gan.py | HesseSummer/vq-vae-2-pytorch | 12281d82b86fd91e56bf5d44802b533429fc7308 | [
"MIT"
] | null | null | null | #! -*- coding: utf-8 -*-
import numpy as np
import scipy as sp
from scipy import misc
import glob
import imageio
from keras.models import Model
from keras.layers import *
from keras import backend as K
from keras.optimizers import RMSprop
from keras.callbacks import Callback
from keras.initializers import RandomNormal... | 32.593361 | 126 | 0.587778 |
7982dd4a16d4b11f56f6a4351becf3084f329a10 | 18,674 | py | Python | pandaserver/taskbuffer/ConBridge.py | virthead/panda-server | d2b65f788c4539dc103641ca2a8052cb18729d44 | [
"Apache-2.0"
] | 7 | 2015-03-30T14:15:35.000Z | 2021-12-22T06:48:22.000Z | pandaserver/taskbuffer/ConBridge.py | virthead/panda-server | d2b65f788c4539dc103641ca2a8052cb18729d44 | [
"Apache-2.0"
] | 16 | 2015-06-01T13:48:01.000Z | 2022-02-08T15:03:32.000Z | pandaserver/taskbuffer/ConBridge.py | virthead/panda-server | d2b65f788c4539dc103641ca2a8052cb18729d44 | [
"Apache-2.0"
] | 15 | 2015-03-02T08:57:35.000Z | 2022-03-01T09:48:45.000Z | import os
import sys
import time
import types
import socket
import signal
import random
import threading
import traceback
try:
import cPickle as pickle
except ImportError:
import pickle
from pandaserver.taskbuffer import OraDBProxy as DBProxy
from pandaserver.config import panda_config
from pandaserver.t... | 34.904673 | 109 | 0.502838 |
7982dd50cdb60d2ef3a8e7bf42fb09da0f1969a3 | 350,819 | py | Python | canadapost/canadapost_lib/pickuprequest.py | Purplship/purplship-carriers | dcd044320b86e9af5fe3ef15c36ebf7828b2851b | [
"MIT"
] | 2 | 2021-04-12T22:40:28.000Z | 2021-04-21T18:28:31.000Z | canadapost/canadapost_lib/pickuprequest.py | Purplship/purplship-carriers | dcd044320b86e9af5fe3ef15c36ebf7828b2851b | [
"MIT"
] | 2 | 2021-01-29T07:14:31.000Z | 2021-02-18T18:29:23.000Z | canadapost/canadapost_lib/pickuprequest.py | Purplship/purplship-carriers | dcd044320b86e9af5fe3ef15c36ebf7828b2851b | [
"MIT"
] | 3 | 2020-09-09T17:04:46.000Z | 2021-03-05T00:32:32.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Generated Wed Jul 14 15:39:45 2021 by generateDS.py version 2.39.2.
# Python 3.8.6 (v3.8.6:db455296be, Sep 23 2020, 13:31:39) [Clang 6.0 (clang-600.0.57)]
#
# Command line options:
# ('--no-namespace-defs', '')
# ('-o', './canadapost_lib/pickuprequest.py')
#
# Com... | 51.95779 | 279 | 0.638734 |
7982dd65eed93a0db943a7ae37a35f77b285732c | 6,072 | py | Python | session9.py | amitkml/EPAI3-AdvancedPython | fbfee70e5a549aea5a146f1884901d47ac0d43d7 | [
"Apache-2.0"
] | null | null | null | session9.py | amitkml/EPAI3-AdvancedPython | fbfee70e5a549aea5a146f1884901d47ac0d43d7 | [
"Apache-2.0"
] | null | null | null | session9.py | amitkml/EPAI3-AdvancedPython | fbfee70e5a549aea5a146f1884901d47ac0d43d7 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Tue Jul 6 11:53:11 2021 for Assignment 9 on namedtuple
@author: AKayal
"""
from decimal import *
def calculate_random_profile_info(no=10000,
convert_nmd_tuple = True):
"""
this function will call the Faker library to get 10000 random pr... | 39.686275 | 171 | 0.623188 |
7982dda36a7dc7f1e7277b72eda016dff3e90225 | 2,766 | py | Python | lifecycle/data/standalone/service_instance.py | mF2C/LifecycleManagement | a9661c6dcaad94564c3e00d6059b9c0713b3f3c0 | [
"Apache-2.0"
] | null | null | null | lifecycle/data/standalone/service_instance.py | mF2C/LifecycleManagement | a9661c6dcaad94564c3e00d6059b9c0713b3f3c0 | [
"Apache-2.0"
] | 18 | 2017-10-25T08:17:24.000Z | 2019-12-10T08:43:45.000Z | lifecycle/data/standalone/service_instance.py | mF2C/LifecycleManagement | a9661c6dcaad94564c3e00d6059b9c0713b3f3c0 | [
"Apache-2.0"
] | null | null | null | """
Service instance - Data management
This is being developed for the MF2C Project: http://www.mf2c-project.eu/
Copyright: Atos Research and Innovation, 2017.
This code is licensed under an Apache 2.0 license. Please, refer to the LICENSE.TXT file for more information
Created on 28 feb. 2019
@author: Roi Sucasas -... | 36.394737 | 178 | 0.570137 |
7982de3f2a8736d300e96c6aabcc7dbc5894ded8 | 2,019 | py | Python | main/bzip2/template.py | ismith/cports | 9fe76e231872e0b03b425252b5fc5e1d9af2a6d8 | [
"BSD-2-Clause"
] | null | null | null | main/bzip2/template.py | ismith/cports | 9fe76e231872e0b03b425252b5fc5e1d9af2a6d8 | [
"BSD-2-Clause"
] | null | null | null | main/bzip2/template.py | ismith/cports | 9fe76e231872e0b03b425252b5fc5e1d9af2a6d8 | [
"BSD-2-Clause"
] | null | null | null | pkgname = "bzip2"
version = "1.0.8"
revision = 0
short_desc = "Freely available, patent free, high-quality data compressor"
maintainer = "q66 <q66@chimera-linux.org>"
license = "bzip2-1.0.6"
homepage = "https://sourceware.org/bzip2"
distfiles = [f"https://sourceware.org/pub/bzip2/bzip2-{version}.tar.gz"]
checksum = ["a... | 30.134328 | 79 | 0.653294 |
7982df01ed2837604082103ac9219d6210b89669 | 26,256 | py | Python | aries_cloudagent/wallet/askar.py | itaru2622/aries-cloudagent-python | db6b7699e603ecb335165a79459fbab7b6587a70 | [
"Apache-2.0"
] | 4 | 2019-07-01T13:12:50.000Z | 2019-07-02T20:01:37.000Z | aries_cloudagent/wallet/askar.py | itaru2622/aries-cloudagent-python | db6b7699e603ecb335165a79459fbab7b6587a70 | [
"Apache-2.0"
] | 29 | 2019-06-24T22:48:04.000Z | 2019-07-02T20:52:16.000Z | aries_cloudagent/wallet/askar.py | amanji/aries-cloudagent-python | 211af2b4e5b8131d64b1b3855ef8e352e831b71f | [
"Apache-2.0"
] | 12 | 2019-06-24T22:17:44.000Z | 2019-07-02T19:49:31.000Z | """Aries-Askar implementation of BaseWallet interface."""
import asyncio
import json
import logging
from typing import List, Sequence, Tuple, Union
from aries_askar import (
AskarError,
AskarErrorCode,
Entry,
Key,
KeyAlg,
SeedMethod,
Session,
)
from ..askar.didcomm.v1 import pack_message... | 34.1875 | 88 | 0.570765 |
7982df93ee984f11ba71b95b9a4b9d7d95256acb | 11,248 | py | Python | isi_sdk_8_0_1/isi_sdk_8_0_1/models/event_eventlist_event.py | mohitjain97/isilon_sdk_python | a371f438f542568edb8cda35e929e6b300b1177c | [
"Unlicense"
] | 24 | 2018-06-22T14:13:23.000Z | 2022-03-23T01:21:26.000Z | isi_sdk_8_0_1/isi_sdk_8_0_1/models/event_eventlist_event.py | mohitjain97/isilon_sdk_python | a371f438f542568edb8cda35e929e6b300b1177c | [
"Unlicense"
] | 46 | 2018-04-30T13:28:22.000Z | 2022-03-21T21:11:07.000Z | isi_sdk_8_0_1/isi_sdk_8_0_1/models/event_eventlist_event.py | mohitjain97/isilon_sdk_python | a371f438f542568edb8cda35e929e6b300b1177c | [
"Unlicense"
] | 29 | 2018-06-19T00:14:04.000Z | 2022-02-08T17:51:19.000Z | # coding: utf-8
"""
Isilon SDK
Isilon SDK - Language bindings for the OneFS API # noqa: E501
OpenAPI spec version: 4
Contact: sdk@isilon.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re # noqa: F401
import six
from isi_sdk_8_0_1.models.empty i... | 27.91067 | 179 | 0.576991 |
7982e0711135b83ef3d6f496c6711072a622ce7c | 3,254 | py | Python | test/test_node.py | Taraxa-project/taraxa-py | 95aa0d8054bf4eba2c3200f3298421575b7bb5a0 | [
"MIT"
] | null | null | null | test/test_node.py | Taraxa-project/taraxa-py | 95aa0d8054bf4eba2c3200f3298421575b7bb5a0 | [
"MIT"
] | 1 | 2022-03-02T15:51:17.000Z | 2022-03-02T15:51:17.000Z | test/test_node.py | Taraxa-project/taraxa-py | 95aa0d8054bf4eba2c3200f3298421575b7bb5a0 | [
"MIT"
] | null | null | null |
import web3
import time
GAS = 7000000
GASPRICE = 10000000
boot_privateKey = "0x3800b2875669d9b2053c1aff9224ecfdc411423aac5b5a73d7a45ced1c3b9dcd"
boot_publicKey = "0x7b1fcf0ec1078320117b96e9e9ad9032c06d030cf4024a598347a4623a14a421d4f" \
"030cf25ef368ab394a45e920e14b57a259a09c41767dd50d1da27b627412a"
boot_address ... | 25.622047 | 144 | 0.678857 |
7982e2115a7dcc258dec4d3564e5a2efb4581c9d | 3,945 | py | Python | application/models.py | communitiesuk/digital-land-explorer | 6fcc8b1a05b56f4950060c6e1b67d6ae826be23a | [
"MIT"
] | null | null | null | application/models.py | communitiesuk/digital-land-explorer | 6fcc8b1a05b56f4950060c6e1b67d6ae826be23a | [
"MIT"
] | null | null | null | application/models.py | communitiesuk/digital-land-explorer | 6fcc8b1a05b56f4950060c6e1b67d6ae826be23a | [
"MIT"
] | 3 | 2019-04-23T12:17:13.000Z | 2021-04-10T21:08:44.000Z | from geoalchemy2 import Geometry
from sqlalchemy import ForeignKey
from sqlalchemy.dialects.postgresql import JSON, JSONB
from application.extensions import db
organisation_feature = db.Table('organisation_feature',
db.Column('organisation', db.String(64), db.ForeignKey('organisation... | 41.09375 | 122 | 0.637262 |
7982e273e19611a34d58b1ae7c8b5aa824dea323 | 3,995 | py | Python | metrics/sacrebleu/sacrebleu.py | tongni1975/nlp | 378484960c660244896ed96886bc0ad08eccf90e | [
"Apache-2.0"
] | 4 | 2020-09-09T19:10:52.000Z | 2022-03-30T15:31:07.000Z | metrics/sacrebleu/sacrebleu.py | tongni1975/nlp | 378484960c660244896ed96886bc0ad08eccf90e | [
"Apache-2.0"
] | null | null | null | metrics/sacrebleu/sacrebleu.py | tongni1975/nlp | 378484960c660244896ed96886bc0ad08eccf90e | [
"Apache-2.0"
] | 1 | 2020-12-30T21:24:44.000Z | 2020-12-30T21:24:44.000Z | # coding=utf-8
# Copyright 2020 The HuggingFace NLP Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | 37.688679 | 126 | 0.656821 |
7982e3f787c009694fba97fa4e7d8d6c5f37e4bf | 584 | py | Python | app/ui/cli.py | nacho-vlad/chess-engine | d4c5faee70fc93ce241d3c753d07a6f02771ff3f | [
"MIT"
] | null | null | null | app/ui/cli.py | nacho-vlad/chess-engine | d4c5faee70fc93ce241d3c753d07a6f02771ff3f | [
"MIT"
] | null | null | null | app/ui/cli.py | nacho-vlad/chess-engine | d4c5faee70fc93ce241d3c753d07a6f02771ff3f | [
"MIT"
] | null | null | null | from ..ui.base import UI
import subprocess
class CLI(UI):
def __init__(self):
super().__init__()
def draw(self, board):
subprocess.run("clear")
print(board.to_ascii())
def get_move(self, moves):
color = "blue" if len(moves)%2==0 else "pink"
move = input("Enter a... | 20.137931 | 57 | 0.506849 |
7982e46a3ecac1ba01ec9b246bff7d072f5edaed | 3,084 | py | Python | crispy_forms/templatetags/crispy_forms_filters.py | radicalgraphics/django-crispy-forms | 42c84a9b02d885de249c1d003c2e7ad031283c26 | [
"MIT"
] | null | null | null | crispy_forms/templatetags/crispy_forms_filters.py | radicalgraphics/django-crispy-forms | 42c84a9b02d885de249c1d003c2e7ad031283c26 | [
"MIT"
] | null | null | null | crispy_forms/templatetags/crispy_forms_filters.py | radicalgraphics/django-crispy-forms | 42c84a9b02d885de249c1d003c2e7ad031283c26 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from django.conf import settings
from django.forms import forms
from django.forms.formsets import BaseFormSet
from django.template import Context
from django.template.loader import get_template
from django.utils.functional import memoize
from django.utils.safestring import mark_safe
from django ... | 32.808511 | 90 | 0.699416 |
7982e4c6c3db80438bca61e2feccc327b509a1fd | 4,780 | py | Python | sdk/python/pulumi_aws/apigateway/client_certificate.py | JakeGinnivan/pulumi-aws | c91ef78932964ac74eda7f5da81f65b0f1798c93 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_aws/apigateway/client_certificate.py | JakeGinnivan/pulumi-aws | c91ef78932964ac74eda7f5da81f65b0f1798c93 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_aws/apigateway/client_certificate.py | JakeGinnivan/pulumi-aws | c91ef78932964ac74eda7f5da81f65b0f1798c93 | [
"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 json
import warnings
import pulumi
import pulumi.runtime
from typing import Union
from .. import utilities, tables
class Client... | 40.168067 | 152 | 0.669038 |
7982e4f460bd3693c64f686e210322fa17d063ae | 2,940 | py | Python | Lib/idlelib/idle_test/test_textview.py | sireliah/polish-python | 605df4944c2d3bc25f8bf6964b274c0a0d297cc3 | [
"PSF-2.0"
] | 1 | 2018-06-21T18:21:24.000Z | 2018-06-21T18:21:24.000Z | Lib/idlelib/idle_test/test_textview.py | sireliah/polish-python | 605df4944c2d3bc25f8bf6964b274c0a0d297cc3 | [
"PSF-2.0"
] | null | null | null | Lib/idlelib/idle_test/test_textview.py | sireliah/polish-python | 605df4944c2d3bc25f8bf6964b274c0a0d297cc3 | [
"PSF-2.0"
] | null | null | null | '''Test the functions oraz main klasa method of textView.py.
Since all methods oraz functions create (or destroy) a TextViewer, which
is a widget containing multiple widgets, all tests must be gui tests.
Using mock Text would nie change this. Other mocks are used to retrieve
information about calls.
The coverage jes... | 30 | 81 | 0.677551 |
7982e4fedc584d4fd8e9766be3df1a08e90a41b7 | 417 | py | Python | user/migrations/0002_auto_20200302_1621.py | code-rookie1/four | b416c00a879674a060fee648b9452aafd5c96ef6 | [
"MIT"
] | null | null | null | user/migrations/0002_auto_20200302_1621.py | code-rookie1/four | b416c00a879674a060fee648b9452aafd5c96ef6 | [
"MIT"
] | 6 | 2021-03-19T09:24:38.000Z | 2021-09-08T01:47:55.000Z | user/migrations/0002_auto_20200302_1621.py | code-rookie1/four | b416c00a879674a060fee648b9452aafd5c96ef6 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.3 on 2020-03-02 08:21
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('user', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='user',
name='password',
fiel... | 21.947368 | 95 | 0.601918 |
7982e606cc324bb96ed552ae62d936aebe0df192 | 2,393 | py | Python | tests/conftest.py | je-santos/lettuce | 9455449b997eb245cd714c5759d7a7cd4c33b1dc | [
"MIT"
] | 53 | 2021-04-01T06:17:52.000Z | 2022-03-21T18:27:13.000Z | tests/conftest.py | je-santos/lettuce | 9455449b997eb245cd714c5759d7a7cd4c33b1dc | [
"MIT"
] | 48 | 2019-09-17T14:07:57.000Z | 2020-11-18T19:53:24.000Z | tests/conftest.py | je-santos/lettuce | 9455449b997eb245cd714c5759d7a7cd4c33b1dc | [
"MIT"
] | 9 | 2021-04-16T12:57:19.000Z | 2022-03-08T11:40:50.000Z | """
Fixtures for unit tests.
"""
import pytest
import numpy as np
import torch
from lettuce import (
stencils, Stencil, get_subclasses, Transform, Lattice, moments
)
STENCILS = list(get_subclasses(Stencil, stencils))
TRANSFORMS = list(get_subclasses(Transform, moments))
@pytest.fixture(
params=["cpu", pyte... | 31.486842 | 114 | 0.712495 |
7982e74a16737437455fd3ec9210bddfb2ce1218 | 11,203 | py | Python | mvtectrain.py | yongfeng0616/CS230_fall_2019_Fruit_Detection | 84910e949fcc38df3029bdd1a774504fe94967d1 | [
"MIT"
] | 4 | 2021-03-12T12:40:54.000Z | 2021-08-23T19:09:21.000Z | mvtectrain.py | yongfeng0616/CS230_fall_2019_Fruit_Detection | 84910e949fcc38df3029bdd1a774504fe94967d1 | [
"MIT"
] | null | null | null | mvtectrain.py | yongfeng0616/CS230_fall_2019_Fruit_Detection | 84910e949fcc38df3029bdd1a774504fe94967d1 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sun Nov 17 11:16:13 2019
@author: Anna
"""
# Load the Drive helper and mount
#======================
#from google.colab import drive
#drive.mount('/content/drive')
import os
import sys
import random
import math
import numpy as np
import skimage.io
import matpl... | 30.693151 | 91 | 0.581362 |
7982e79e24b7d1f60facc0322a3ad2a718777319 | 1,137 | py | Python | vendor/mo_threads/busy_lock.py | klahnakoski/auth0-api | eda9c2554c641da76687f64445b8d35543d012d9 | [
"MIT"
] | null | null | null | vendor/mo_threads/busy_lock.py | klahnakoski/auth0-api | eda9c2554c641da76687f64445b8d35543d012d9 | [
"MIT"
] | null | null | null | vendor/mo_threads/busy_lock.py | klahnakoski/auth0-api | eda9c2554c641da76687f64445b8d35543d012d9 | [
"MIT"
] | null | null | null |
# encoding: utf-8
#
#
# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this file,
# You can obtain one at http://mozilla.org/MPL/2.0/.
#
# Author: Kyle Lahnakoski (kyle@lahnakoski.com)
#
# THIS THREADING MODULE IS PERMEATED BY THE pl... | 23.6875 | 75 | 0.635004 |
7982e8eb19d2ef1e5a3e90969a9fc91c20ac5301 | 869 | py | Python | 001146StepikPyBegin/Stepik001146PyBeginсh11p04st05TASK04_20210204_lists_methods.py | SafonovMikhail/python_000577 | 739f764e80f1ca354386f00b8e9db1df8c96531d | [
"Apache-2.0"
] | null | null | null | 001146StepikPyBegin/Stepik001146PyBeginсh11p04st05TASK04_20210204_lists_methods.py | SafonovMikhail/python_000577 | 739f764e80f1ca354386f00b8e9db1df8c96531d | [
"Apache-2.0"
] | null | null | null | 001146StepikPyBegin/Stepik001146PyBeginсh11p04st05TASK04_20210204_lists_methods.py | SafonovMikhail/python_000577 | 739f764e80f1ca354386f00b8e9db1df8c96531d | [
"Apache-2.0"
] | null | null | null | '''
Stepik001146PyBeginсh11p04st05TASK04_20210204_lists_methods.py
Без дубликатов
На вход программе подается натуральное число nn, а затем nn строк. Напишите программу, которая выводит только уникальные строки, в том же порядке, в котором они были введены.
Формат входных данных
На вход программе подаются натуральное ... | 21.725 | 174 | 0.743383 |
7982e9950858a02d6f9ada11def8578f5a70272f | 1,941 | py | Python | wxpusher/wxpusher.py | hnauto/wxpusher-sdk-python | 6787c0bdd7bef673b1a3f56984f6587c07bb0546 | [
"Apache-2.0"
] | 124 | 2020-01-17T03:02:05.000Z | 2022-03-30T09:51:02.000Z | wxpusher/wxpusher.py | hnauto/wxpusher-sdk-python | 6787c0bdd7bef673b1a3f56984f6587c07bb0546 | [
"Apache-2.0"
] | 3 | 2020-01-17T09:31:47.000Z | 2021-09-25T06:55:37.000Z | wxpusher/wxpusher.py | hnauto/wxpusher-sdk-python | 6787c0bdd7bef673b1a3f56984f6587c07bb0546 | [
"Apache-2.0"
] | 23 | 2020-01-17T03:02:11.000Z | 2022-03-29T13:25:24.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
WxPusher Python SDK.
File: wxpusher.py
Author: huxuan
Email: i(at)huxuan.org
"""
import requests
from . import exceptions
BASEURL = 'http://wxpusher.zjiecode.com/api'
class WxPusher():
"""WxPusher Python SDK."""
default_token = None
@classmethod
d... | 27.338028 | 63 | 0.573416 |
7982ea5f78ee339f7202d57c12bdafe897466c8c | 448 | py | Python | idp_data/idp_data/migrations/0017_eventaction_confirmed_date.py | emre2038/idp-data | c31e9783f86a2745403011f21f5148dd98420510 | [
"MIT"
] | null | null | null | idp_data/idp_data/migrations/0017_eventaction_confirmed_date.py | emre2038/idp-data | c31e9783f86a2745403011f21f5148dd98420510 | [
"MIT"
] | 6 | 2020-08-20T12:39:29.000Z | 2020-12-01T11:17:02.000Z | idp_data/idp_data/migrations/0017_eventaction_confirmed_date.py | emre2038/idp-data | c31e9783f86a2745403011f21f5148dd98420510 | [
"MIT"
] | 3 | 2020-08-04T21:11:06.000Z | 2020-08-18T11:40:00.000Z | # Generated by Django 2.2.10 on 2020-08-23 20:15
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('idp_data', '0016_auto_20200823_2014'),
]
operations = [
migrations.AddField(
model_name='eventaction',
name='confir... | 22.4 | 63 | 0.609375 |
7982ebadcc9482b6bb5d3719f5a5f8a529369010 | 1,670 | py | Python | profiles_api/models.py | ragav78/profile-rest-api | 8a96f35fc74191793f4d897b7358867e7dcb047b | [
"MIT"
] | null | null | null | profiles_api/models.py | ragav78/profile-rest-api | 8a96f35fc74191793f4d897b7358867e7dcb047b | [
"MIT"
] | null | null | null | profiles_api/models.py | ragav78/profile-rest-api | 8a96f35fc74191793f4d897b7358867e7dcb047b | [
"MIT"
] | null | null | null | from django.db import models
from django.contrib.auth.models import AbstractBaseUser
from django.contrib.auth.models import PermissionsMixin
from django.contrib.auth.models import BaseUserManager
class UserProfileManager(BaseUserManager):
"""Manager for user profiles"""
def create_user(self, email, name, pas... | 29.298246 | 64 | 0.677246 |
7982ebc72607fa62115eb55be01808741d8b3839 | 470 | py | Python | users/signals.py | ihosseinu/django-farsi-users | 76b9800661f6a8c14312d0e119f6ee5c6f065a3b | [
"MIT"
] | 1 | 2022-01-22T11:35:28.000Z | 2022-01-22T11:35:28.000Z | users/signals.py | ihosseinu/django-farsi-users | 76b9800661f6a8c14312d0e119f6ee5c6f065a3b | [
"MIT"
] | null | null | null | users/signals.py | ihosseinu/django-farsi-users | 76b9800661f6a8c14312d0e119f6ee5c6f065a3b | [
"MIT"
] | null | null | null | from django.db.models.signals import post_save
from django.dispatch import receiver
from .models import User, Profile
@receiver(post_save, sender=User)
def update_profile(sender, instance, created, **kwargs):
"""
Creates a profile instance when a new user is registered.
Updates related profile instance wh... | 29.375 | 76 | 0.725532 |
7982ec2fda1387d8a6bce77fdc7ce5ba6b8f21d4 | 72,335 | py | Python | atomica/optimization.py | atomicateam/atomica | de05daf15088e315b89fd62319fa11529d43f8cf | [
"MIT"
] | 2 | 2019-04-16T17:56:01.000Z | 2019-09-02T15:53:18.000Z | atomica/optimization.py | atomicateam/atomica | de05daf15088e315b89fd62319fa11529d43f8cf | [
"MIT"
] | 93 | 2018-09-20T16:45:22.000Z | 2021-11-15T21:59:38.000Z | atomica/optimization.py | atomicateam/atomica | de05daf15088e315b89fd62319fa11529d43f8cf | [
"MIT"
] | 1 | 2018-09-22T08:12:53.000Z | 2018-09-22T08:12:53.000Z | """
Implements various Optimizations in Atomica
This module implements the :class:`Optimization` class, which contains the
information required to perform an optimization in Atomica. An Optimization
effectively serves as a mapping from one set of program instructions to another.
"""
import logging
import pickle
from... | 51.228754 | 523 | 0.68762 |
7982ec3615f583f4e0037b520987d7b5737b25f7 | 2,593 | py | Python | DeriaLock/DeriaDecryptor.py | AlexanderAda/Ransomware-Decryptors | c7a8d5f208a877ac0bcbfd73ac67e7054e3ebd34 | [
"MIT"
] | 4 | 2019-03-03T13:09:03.000Z | 2020-10-28T07:12:29.000Z | DeriaLock/DeriaDecryptor.py | AlexanderAda/Ransomware-Decryptors | c7a8d5f208a877ac0bcbfd73ac67e7054e3ebd34 | [
"MIT"
] | null | null | null | DeriaLock/DeriaDecryptor.py | AlexanderAda/Ransomware-Decryptors | c7a8d5f208a877ac0bcbfd73ac67e7054e3ebd34 | [
"MIT"
] | 1 | 2020-10-07T17:14:33.000Z | 2020-10-07T17:14:33.000Z |
# DeriaLock Decryptor
# NioGuard Security Lab, 2017
# Author: Alexander Adamov
# Email: ada@nioguard.com
import os
import hashlib
from array import *
from Crypto.Cipher import AES
DECRYPT_LOCATIONS = [
"%s" % os.environ['USERPROFILE'],
"d:/"
]
EXT ... | 37.042857 | 156 | 0.640956 |
7982ed028b77ea2065e170390616d7bb19269747 | 1,678 | py | Python | convert_html.py | GamerX248/hexo-recover-files | 7db830625b94cbddf53ec82c73dfa005bbb13d7e | [
"MIT"
] | null | null | null | convert_html.py | GamerX248/hexo-recover-files | 7db830625b94cbddf53ec82c73dfa005bbb13d7e | [
"MIT"
] | null | null | null | convert_html.py | GamerX248/hexo-recover-files | 7db830625b94cbddf53ec82c73dfa005bbb13d7e | [
"MIT"
] | null | null | null | import os
from tomd import Tomd
from bs4 import BeautifulSoup
import codecs
import re
def build_file(name):
path = "posts/" + name + "/index.html"
f = codecs.open(path, 'r')
html = f.read()
soup = BeautifulSoup(html, features="html5lib")
# Save title
md = "---"
md += "\ntitle: " + soup.find("h1").get_text().... | 26.21875 | 68 | 0.567938 |
7982ed1a5573faa04dc80a131bc1ffc56eebc680 | 1,119 | py | Python | source/orchestration/orchestration.py | joshhills/dissertation-project | 0a2ef09a98aa3e6921384a1768b051e02d8dffb1 | [
"MIT"
] | null | null | null | source/orchestration/orchestration.py | joshhills/dissertation-project | 0a2ef09a98aa3e6921384a1768b051e02d8dffb1 | [
"MIT"
] | null | null | null | source/orchestration/orchestration.py | joshhills/dissertation-project | 0a2ef09a98aa3e6921384a1768b051e02d8dffb1 | [
"MIT"
] | null | null | null | """
:author: Josh Hills
Define the public entryway to the
microservice architecture.
"""
import flask
import shared.messaging
import shared.database
# Global fields
app = flask.Flask(__name__)
messaging = shared.messaging.RabbitMQMessaging()
database = shared.database.Couchbase()
# API
@app.route("/scrape/product/<... | 21.113208 | 84 | 0.709562 |
7982ed2efbd84876c320a746dab88cc1c908b121 | 11,814 | py | Python | ebnn/functions/function_binary_convolution_2d.py | viv-codes/ebnn | 4b042f9a100a988b1cec7c83d8367a6c4e01e199 | [
"MIT"
] | 39 | 2017-02-24T20:37:14.000Z | 2022-03-10T09:12:03.000Z | ebnn/functions/function_binary_convolution_2d.py | sandy2008/binary-net-toolkit | c9807f60a9cff7b90319a576a27e77ca163cc2e1 | [
"Unlicense"
] | 10 | 2017-07-05T15:11:03.000Z | 2020-06-29T00:22:00.000Z | ebnn/functions/function_binary_convolution_2d.py | sandy2008/binary-net-toolkit | c9807f60a9cff7b90319a576a27e77ca163cc2e1 | [
"Unlicense"
] | 19 | 2017-02-21T12:00:22.000Z | 2022-03-03T16:16:46.000Z | import numpy
from six import moves
from chainer import cuda
from chainer import function
from chainer.utils import conv
from chainer.utils import type_check
if cuda.cudnn_enabled:
cudnn = cuda.cudnn
libcudnn = cuda.cudnn.cudnn
_cudnn_version = libcudnn.getVersion()
_fwd_pref = libcudnn.CUDNN_CONVOLUTI... | 38.482085 | 80 | 0.56797 |
7982ed4905831af8b990c9e541f3b16a19166ddb | 117 | py | Python | main/schema/components/media_prev.py | kristianmk/tator | 0eb75ee9333316b06f773de2b75e8e797a98ffdb | [
"MIT"
] | 50 | 2019-09-18T14:32:18.000Z | 2022-03-31T16:26:07.000Z | main/schema/components/media_prev.py | kristianmk/tator | 0eb75ee9333316b06f773de2b75e8e797a98ffdb | [
"MIT"
] | 566 | 2019-09-18T16:33:40.000Z | 2022-03-31T20:01:38.000Z | main/schema/components/media_prev.py | kristianmk/tator | 0eb75ee9333316b06f773de2b75e8e797a98ffdb | [
"MIT"
] | 19 | 2019-09-21T20:08:12.000Z | 2022-03-17T14:53:11.000Z | media_prev = {
'type': 'object',
'properties': {
'prev': {'type': 'integer', 'minimum': 0},
},
}
| 16.714286 | 50 | 0.452991 |
7982ee29e6c754a83826810378c8fb5749069770 | 6,419 | py | Python | lgat/generator.py | kohilin/lgat | ba9fe6b4edd22c33c1c96f3139833cca9d149022 | [
"Apache-1.1"
] | null | null | null | lgat/generator.py | kohilin/lgat | ba9fe6b4edd22c33c1c96f3139833cca9d149022 | [
"Apache-1.1"
] | null | null | null | lgat/generator.py | kohilin/lgat | ba9fe6b4edd22c33c1c96f3139833cca9d149022 | [
"Apache-1.1"
] | null | null | null | from collections import OrderedDict
import torch
import numpy as np
from .q import QLayer, QAction, merge_q_layer_outputs
from .vocab import VocabDict
def build_q_layers_for_template_action(state_size, template_collection, **kwargs):
q_layers = OrderedDict()
q_layer_type = kwargs.pop('q_layer_type', 'dqn')
... | 40.88535 | 127 | 0.658358 |
7982ee2eff56c765cf2d7f0d4c60872fc72149a2 | 2,882 | py | Python | runtests.py | jtiai/django-rest-framework | b24741ae8905cee870f222f1ead4d55f57670665 | [
"BSD-2-Clause"
] | null | null | null | runtests.py | jtiai/django-rest-framework | b24741ae8905cee870f222f1ead4d55f57670665 | [
"BSD-2-Clause"
] | null | null | null | runtests.py | jtiai/django-rest-framework | b24741ae8905cee870f222f1ead4d55f57670665 | [
"BSD-2-Clause"
] | null | null | null | #! /usr/bin/env python
from __future__ import print_function
import os
import subprocess
import sys
import pytest
PYTEST_ARGS = {
'default': ['tests', '--tb=short'],
'fast': ['tests', '--tb=short', '-q'],
}
FLAKE8_ARGS = ['rest_framework', 'tests', '--ignore=E501']
ISORT_ARGS = ['--recursive', '--check-onl... | 25.732143 | 114 | 0.623178 |
7982ef2eb3f7060c872d459adcaf661312327f43 | 2,115 | py | Python | utils/createTFRecords.py | Leechanggun/Flow_DeepLearning | 1440128cb4076f7511d56c347eaac2532598d59c | [
"Apache-2.0"
] | 2 | 2018-10-14T13:50:22.000Z | 2019-04-30T14:57:17.000Z | utils/createTFRecords.py | Leechanggun/Flow_DeepLearning | 1440128cb4076f7511d56c347eaac2532598d59c | [
"Apache-2.0"
] | 9 | 2020-01-28T22:31:44.000Z | 2022-02-10T00:01:58.000Z | utils/createTFRecords.py | Leechanggun/Flow_DeepLearning | 1440128cb4076f7511d56c347eaac2532598d59c | [
"Apache-2.0"
] | null | null | null |
import numpy as np
import tensorflow as tf
from glob import glob as glb
import re
from tqdm import *
from flow_reader import load_flow, load_boundary
FLAGS = tf.app.flags.FLAGS
tf.app.flags.DEFINE_bool('debug', False,
""" this will show the images while generating records. """)
# help... | 26.4375 | 88 | 0.652955 |
7982ef9f408bbf014bd487cb9b3da35b19da465e | 1,527 | py | Python | examples/voice_update_webhook.py | smadivad/sreemessage | b9642c32bfea65ec7b523bffd7b23306b235e651 | [
"BSD-2-Clause"
] | 57 | 2015-04-07T21:20:12.000Z | 2022-03-30T17:27:48.000Z | examples/voice_update_webhook.py | smadivad/sreemessage | b9642c32bfea65ec7b523bffd7b23306b235e651 | [
"BSD-2-Clause"
] | 33 | 2015-09-24T21:29:48.000Z | 2022-02-11T22:17:29.000Z | examples/voice_update_webhook.py | smadivad/sreemessage | b9642c32bfea65ec7b523bffd7b23306b235e651 | [
"BSD-2-Clause"
] | 59 | 2015-01-08T13:00:13.000Z | 2022-03-09T16:55:46.000Z | #!/usr/bin/env python
import argparse
import messagebird
from messagebird.voice_webhook import VoiceUpdateWebhookRequest
parser = argparse.ArgumentParser()
parser.add_argument('--accessKey', help='access key for MessageBird API', type=str, required=True)
parser.add_argument('--webhookId', help='webhook that you want t... | 40.184211 | 99 | 0.67649 |
7982f0570f9252fb9a62dbc01f8b9ed646de6d3d | 3,235 | py | Python | tests/flytekit/unit/models/test_common.py | nuclyde-io/flytekit | a4c990f0492e5f7245b5f2f7bb137c54684a3826 | [
"Apache-2.0"
] | null | null | null | tests/flytekit/unit/models/test_common.py | nuclyde-io/flytekit | a4c990f0492e5f7245b5f2f7bb137c54684a3826 | [
"Apache-2.0"
] | 1 | 2021-02-05T02:57:25.000Z | 2021-02-05T02:57:25.000Z | tests/flytekit/unit/models/test_common.py | nuclyde-io/flytekit | a4c990f0492e5f7245b5f2f7bb137c54684a3826 | [
"Apache-2.0"
] | null | null | null | from flytekit.models import common as _common
from flytekit.models.core import execution as _execution
def test_notification_email():
obj = _common.EmailNotification(["a", "b", "c"])
assert obj.recipients_email == ["a", "b", "c"]
obj2 = _common.EmailNotification.from_flyte_idl(obj.to_flyte_idl())
asse... | 35.549451 | 92 | 0.715611 |
7982f1039208b85aa67f9da32645f39117b42554 | 554 | py | Python | todo/notes/migrations/0001_initial.py | bhagvank/pythonConstructs | eb6b3bb2dca0b859c4e78188f70dadc933b8ce40 | [
"Apache-2.0"
] | null | null | null | todo/notes/migrations/0001_initial.py | bhagvank/pythonConstructs | eb6b3bb2dca0b859c4e78188f70dadc933b8ce40 | [
"Apache-2.0"
] | null | null | null | todo/notes/migrations/0001_initial.py | bhagvank/pythonConstructs | eb6b3bb2dca0b859c4e78188f70dadc933b8ce40 | [
"Apache-2.0"
] | null | null | null | # Generated by Django 2.0.4 on 2018-04-27 07:58
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Note',
fields=[
('id', models.AutoField(aut... | 24.086957 | 114 | 0.575812 |
7982f30e7fd6ed385f2574e1b073d92ceb935699 | 7,933 | py | Python | build-support/run_dist_test.py | ImpactInc/kudu | 984a3e1a1240c5f36d7c0e29d065a829ca1083e0 | [
"Apache-2.0"
] | 2 | 2019-07-17T19:08:07.000Z | 2019-07-17T19:13:25.000Z | build-support/run_dist_test.py | ImpactInc/kudu | 984a3e1a1240c5f36d7c0e29d065a829ca1083e0 | [
"Apache-2.0"
] | null | null | null | build-support/run_dist_test.py | ImpactInc/kudu | 984a3e1a1240c5f36d7c0e29d065a829ca1083e0 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python2
#
# 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
# ... | 40.47449 | 99 | 0.689651 |
7982f3d8ed6c14300c56bebd3008662510b04186 | 171 | py | Python | tests/conftest.py | joshuahlang/sqlalchemy-ctds | 87ac134665c53c58f1420694718c7590c5f5e8e8 | [
"MIT"
] | 2 | 2018-09-11T22:34:17.000Z | 2021-05-02T16:26:49.000Z | tests/conftest.py | joshuahlang/sqlalchemy-ctds | 87ac134665c53c58f1420694718c7590c5f5e8e8 | [
"MIT"
] | 2 | 2018-01-31T02:45:59.000Z | 2018-01-31T16:44:35.000Z | tests/conftest.py | joshuahlang/sqlalchemy-ctds | 87ac134665c53c58f1420694718c7590c5f5e8e8 | [
"MIT"
] | 1 | 2018-01-31T03:29:08.000Z | 2018-01-31T03:29:08.000Z | from sqlalchemy.dialects import registry
registry.register('mssql.ctds', 'sqlalchemy_ctds.ctds', 'MSDialect_ctds')
from sqlalchemy.testing.plugin.pytestplugin import *
| 24.428571 | 73 | 0.812865 |
7982f435d0cb127e8c0b82af2f9a43a9ffb30e62 | 1,279 | py | Python | tests/distinct_on_fields/models.py | webjunkie/django | 5dbca13f3baa2e1bafd77e84a80ad6d8a074712e | [
"BSD-3-Clause"
] | 790 | 2015-01-03T02:13:39.000Z | 2020-05-10T19:53:57.000Z | AppServer/lib/django-1.5/tests/modeltests/distinct_on_fields/models.py | nlake44/appscale | 6944af660ca4cb772c9b6c2332ab28e5ef4d849f | [
"Apache-2.0"
] | 1,361 | 2015-01-08T23:09:40.000Z | 2020-04-14T00:03:04.000Z | AppServer/lib/django-1.5/tests/modeltests/distinct_on_fields/models.py | nlake44/appscale | 6944af660ca4cb772c9b6c2332ab28e5ef4d849f | [
"Apache-2.0"
] | 155 | 2015-01-08T22:59:31.000Z | 2020-04-08T08:01:53.000Z | from __future__ import unicode_literals
from django.db import models
from django.utils.encoding import python_2_unicode_compatible
@python_2_unicode_compatible
class Tag(models.Model):
name = models.CharField(max_length=10)
parent = models.ForeignKey('self', blank=True, null=True,
related_name='ch... | 27.212766 | 67 | 0.715403 |
7982f4e6e10ef5938dfb83e413acd2822677cd77 | 2,127 | py | Python | workspace/cogrob/dialogue/listen_for_intent/intent_listener.py | CogRob/TritonBot | d05b521ec7a7f54a04409f5a2897f3e5c75fd3bf | [
"BSD-3-Clause"
] | 8 | 2018-09-21T09:56:02.000Z | 2021-07-26T14:35:14.000Z | workspace/cogrob/dialogue/listen_for_intent/intent_listener.py | CogRob/TritonBot | d05b521ec7a7f54a04409f5a2897f3e5c75fd3bf | [
"BSD-3-Clause"
] | null | null | null | workspace/cogrob/dialogue/listen_for_intent/intent_listener.py | CogRob/TritonBot | d05b521ec7a7f54a04409f5a2897f3e5c75fd3bf | [
"BSD-3-Clause"
] | 4 | 2018-08-26T21:44:52.000Z | 2019-08-22T07:38:08.000Z | # Copyright (c) 2018, The Regents of the University of California
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright
# notice, thi... | 48.340909 | 79 | 0.794076 |
7982f4fe4205534a1ee98c870d33661cdeec51e0 | 9,969 | py | Python | desktop/core/ext-py/Django-1.11/tests/utils_tests/test_html.py | kokosing/hue | 2307f5379a35aae9be871e836432e6f45138b3d9 | [
"Apache-2.0"
] | 3 | 2018-01-29T14:16:02.000Z | 2019-02-05T21:33:05.000Z | desktop/core/ext-py/Django-1.11/tests/utils_tests/test_html.py | kokosing/hue | 2307f5379a35aae9be871e836432e6f45138b3d9 | [
"Apache-2.0"
] | 1 | 2019-05-06T15:32:21.000Z | 2019-05-06T15:32:21.000Z | desktop/core/ext-py/Django-1.11/tests/utils_tests/test_html.py | kokosing/hue | 2307f5379a35aae9be871e836432e6f45138b3d9 | [
"Apache-2.0"
] | 2 | 2019-12-05T17:24:36.000Z | 2021-11-22T21:21:32.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import os
from datetime import datetime
from django.test import SimpleTestCase
from django.utils import html, safestring, six
from django.utils._os import upath
from django.utils.encoding import force_text
from django.utils.functional import lazystr
cl... | 42.421277 | 117 | 0.534056 |
7982f5b4d1e7cb29d2df8f5999999b63075207a2 | 2,992 | py | Python | frappe_backend/hooks.py | Nirchains/frappe-backend | 8258016e9ece7573ee935e79b3c065eff6616e0b | [
"MIT"
] | null | null | null | frappe_backend/hooks.py | Nirchains/frappe-backend | 8258016e9ece7573ee935e79b3c065eff6616e0b | [
"MIT"
] | null | null | null | frappe_backend/hooks.py | Nirchains/frappe-backend | 8258016e9ece7573ee935e79b3c065eff6616e0b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from . import __version__ as app_version
app_name = "frappe_backend"
app_title = "Frappe Backend"
app_publisher = "Pedro Antonio Fernández Gómez"
app_description = "Frappe backend styles and functions"
app_icon = "octicon octicon-file-directory"
app_color... | 24.325203 | 102 | 0.684492 |
7982f5d02410a68cd1975a54167178ec04476930 | 20,261 | py | Python | app/controllers/algoritma.py | haryobagus/haryo_ig | 1ad160b422d2c6d5b9b3016e312eb77a576ff9b1 | [
"MIT"
] | null | null | null | app/controllers/algoritma.py | haryobagus/haryo_ig | 1ad160b422d2c6d5b9b3016e312eb77a576ff9b1 | [
"MIT"
] | null | null | null | app/controllers/algoritma.py | haryobagus/haryo_ig | 1ad160b422d2c6d5b9b3016e312eb77a576ff9b1 | [
"MIT"
] | null | null | null | import math
import numpy as np
import pandas as pd
import scipy.sparse as sp
import copy
from flask import render_template, jsonify, url_for
from app.models import Dataset, Klasifikasi, Username
from sklearn.metrics import classification_report
from sklearn.svm import SVC
from sklearn.neural_network import MLPClassi... | 44.237991 | 256 | 0.655545 |
7982f61906da8cff990c1428e3ab8ce41ea4f101 | 1,635 | py | Python | groupofchanges.py | LK/monopoly-simulator | 16655da3402cd660b758c536fb8c05b9e661af5f | [
"MIT"
] | 2 | 2016-09-03T13:01:20.000Z | 2016-12-28T06:37:42.000Z | groupofchanges.py | LK/monopoly-simulator | 16655da3402cd660b758c536fb8c05b9e661af5f | [
"MIT"
] | 21 | 2016-09-12T21:38:23.000Z | 2017-01-06T04:25:59.000Z | groupofchanges.py | LK/monopoly-simulator | 16655da3402cd660b758c536fb8c05b9e661af5f | [
"MIT"
] | null | null | null | '''
Author: Lenny Khazan & Michael Friedman
Created:
Description:
This class contains a list of GameStateChanges that should be applied as a unit.
This is designed with the convention that the GameStateChanges will be applied
in the order given during initialization.
'''
class GroupOfChanges(object):
# Takes... | 28.189655 | 81 | 0.767584 |
7982f690d2ad247831ecbb9a09b03e3404ff291a | 1,004 | py | Python | apps/employees/schema/types.py | wis-software/office-manager | 0342d2cf9b3e4779f3e3d2a4faba6768e95047b1 | [
"MIT"
] | 7 | 2017-09-28T11:20:43.000Z | 2020-01-18T23:23:52.000Z | apps/employees/schema/types.py | wis-software/office-manager | 0342d2cf9b3e4779f3e3d2a4faba6768e95047b1 | [
"MIT"
] | 1 | 2019-03-12T18:16:12.000Z | 2019-03-12T20:17:40.000Z | apps/employees/schema/types.py | wis-software/office-manager | 0342d2cf9b3e4779f3e3d2a4faba6768e95047b1 | [
"MIT"
] | 7 | 2017-09-27T11:12:25.000Z | 2019-04-04T13:24:01.000Z | import graphene
from graphene_django.types import DjangoObjectType
from apps.employees import models
class EmployeeType(DjangoObjectType):
class Meta:
model = models.Employee
filter_fields = {
'first_name': ['icontains', 'istartswith'],
'last_name': ['icontains', 'ista... | 21.361702 | 58 | 0.582669 |
7982f693a9b4f00a050a43fa9562d0bfce902c9c | 6,471 | py | Python | glyph.py | sangh/LaserShow | abc95e465e3455dc220cc602dd58358c84666f29 | [
"BSD-3-Clause"
] | null | null | null | glyph.py | sangh/LaserShow | abc95e465e3455dc220cc602dd58358c84666f29 | [
"BSD-3-Clause"
] | null | null | null | glyph.py | sangh/LaserShow | abc95e465e3455dc220cc602dd58358c84666f29 | [
"BSD-3-Clause"
] | null | null | null |
from header import *
import json
import math
# This used to be a class, but I want to use json w/o all the
# manual mangling needed, so it's just going to be a dictionary.
# It must have X and Y grid points and keys for
# the 'name' and a 'path' (list of (x,y) points or "on"/"off" cmds).
def pointIsValid( pt ):
... | 31.720588 | 87 | 0.533302 |
7982f706966b99d9328609c9c9632eb585c52d45 | 4,025 | py | Python | msgpack_socket_platform.py | khinsen/PythonBridge | 4245e1e4ea215b29108929100c9c9ec8eb71095a | [
"MIT"
] | 22 | 2019-01-09T01:07:11.000Z | 2022-03-18T21:54:38.000Z | msgpack_socket_platform.py | khinsen/PythonBridge | 4245e1e4ea215b29108929100c9c9ec8eb71095a | [
"MIT"
] | 6 | 2019-02-18T21:17:13.000Z | 2021-04-28T18:32:12.000Z | msgpack_socket_platform.py | khinsen/PythonBridge | 4245e1e4ea215b29108929100c9c9ec8eb71095a | [
"MIT"
] | 5 | 2019-03-19T20:04:16.000Z | 2021-03-25T20:08:39.000Z | import msgpack
import socket
import _thread
import threading
import time
import sys
from PythonBridge import bridge_globals, stoppable_thread, msgpack_serializer
from uuid import uuid1
# Messages supported by this sockets must be Dictionaries. This is because we use special key __sync to know if it is
# a synchronize... | 33.823529 | 119 | 0.63205 |
7982f84bcd193db138b918f6c78b3bb1f5b89093 | 1,302 | py | Python | mythx_models/util.py | ConsenSys/mythx-models | e912c2fc6e7d18041310d3b9f0f95085db47ed9b | [
"MIT"
] | 2 | 2019-08-26T13:42:28.000Z | 2019-11-13T15:44:16.000Z | mythx_models/util.py | ConsenSys/mythx-models | e912c2fc6e7d18041310d3b9f0f95085db47ed9b | [
"MIT"
] | 22 | 2019-08-26T13:14:55.000Z | 2021-04-18T14:22:52.000Z | mythx_models/util.py | ConsenSys/mythx-models | e912c2fc6e7d18041310d3b9f0f95085db47ed9b | [
"MIT"
] | 6 | 2019-08-29T15:51:38.000Z | 2021-04-05T11:41:34.000Z | """This module contains various utility functions for MythX domain models."""
from datetime import datetime
from typing import Dict, Union
import dateutil.parser
def deserialize_api_timestamp(timestamp_str: str) -> datetime:
"""Deserialize a JavaScript API timestamp into Python datetime format.
:param time... | 30.27907 | 81 | 0.675115 |
7982f9072591d802727ffcc7c83cc66acc943150 | 13,241 | py | Python | sim_proto.py | egdinger/QuadCopterSim | e87113f1566c7039c6fa146b196fb32f9d410754 | [
"MIT"
] | 1 | 2015-08-07T15:04:19.000Z | 2015-08-07T15:04:19.000Z | sim_proto.py | egdinger/QuadCopterSim | e87113f1566c7039c6fa146b196fb32f9d410754 | [
"MIT"
] | null | null | null | sim_proto.py | egdinger/QuadCopterSim | e87113f1566c7039c6fa146b196fb32f9d410754 | [
"MIT"
] | null | null | null | from random import *
import numpy, math
import matplotlib as mpl
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt1
import pdb
#These are constants that need to be set for each quadcopter
mass = 1.2
CodX = 1.04 #Coefficient of Drag on the x axis
CodY = 1.04 #Coefficient of Drag on the y a... | 41.507837 | 309 | 0.643909 |
7982f9d353c7895c3d63eec4c1ccb4dacd70c5f7 | 3,121 | py | Python | utils/mnist_loader.py | Kur1su0/ML-proj | 78d6b56674b83c6c876e6397d778c5bee031885a | [
"MIT"
] | null | null | null | utils/mnist_loader.py | Kur1su0/ML-proj | 78d6b56674b83c6c876e6397d778c5bee031885a | [
"MIT"
] | null | null | null | utils/mnist_loader.py | Kur1su0/ML-proj | 78d6b56674b83c6c876e6397d778c5bee031885a | [
"MIT"
] | null | null | null | import pickle
import gzip
import numpy as np
def load_data():
"""Return the MNIST data as a tuple containing the training data,
the validation data, and the test data.
The ``training_data`` is returned as a tuple with two entries.
The first entry contains the actual training images. This is a
... | 48.015385 | 82 | 0.682474 |
7982f9e33a3b8145cde3b2580c0954f54d959742 | 3,233 | py | Python | test/tests/eval_test.py | aisk/pyston | ac69cfef0621dbc8901175e84fa2b5cb5781a646 | [
"BSD-2-Clause",
"Apache-2.0"
] | 1 | 2020-02-06T14:28:45.000Z | 2020-02-06T14:28:45.000Z | test/tests/eval_test.py | aisk/pyston | ac69cfef0621dbc8901175e84fa2b5cb5781a646 | [
"BSD-2-Clause",
"Apache-2.0"
] | null | null | null | test/tests/eval_test.py | aisk/pyston | ac69cfef0621dbc8901175e84fa2b5cb5781a646 | [
"BSD-2-Clause",
"Apache-2.0"
] | 1 | 2020-02-06T14:29:00.000Z | 2020-02-06T14:29:00.000Z | print eval("3 + 4")
a = 5
print eval("a")
print eval("[b for b in range(5)]")
print b
c = 2
print eval("[c for c in range(5)]")
print c
try:
print eval("int('abc')")
except ValueError:
print 'got ValueError'
d = 19
e = 20
i = 21
def func():
loc = 231
print 'loc', eval("loc")
print eval("d")
... | 19.475904 | 84 | 0.583978 |
7982fa00851004eef1ea249e5814ccf4b96bc1fb | 20,094 | py | Python | modoboa_stats/management/commands/logparser.py | tsabi/modoboa-stats | a60929b578c2d4f66ddb65249de63e816790d504 | [
"MIT"
] | null | null | null | modoboa_stats/management/commands/logparser.py | tsabi/modoboa-stats | a60929b578c2d4f66ddb65249de63e816790d504 | [
"MIT"
] | null | null | null | modoboa_stats/management/commands/logparser.py | tsabi/modoboa-stats | a60929b578c2d4f66ddb65249de63e816790d504 | [
"MIT"
] | null | null | null | # coding: utf-8
"""
Postfix log parser.
This scripts parses a log file produced by postfix (or using the same
format). It looks for predefined events and build statistics about
their occurence rate.
At the, somes default graphics are generated using the grapher module.
(see grapher.py)
Predefined events are:
* Per... | 34.173469 | 219 | 0.529959 |
7982fc0e34e1c4cdda9f19697ba0313c4bd007cc | 467 | py | Python | superadmin/fingerprint/databaseHelper.py | aerootaku/Fingerprint-Locker | a8970bb543206e4bcb0f87d223481a7c5b10727c | [
"MIT"
] | null | null | null | superadmin/fingerprint/databaseHelper.py | aerootaku/Fingerprint-Locker | a8970bb543206e4bcb0f87d223481a7c5b10727c | [
"MIT"
] | null | null | null | superadmin/fingerprint/databaseHelper.py | aerootaku/Fingerprint-Locker | a8970bb543206e4bcb0f87d223481a7c5b10727c | [
"MIT"
] | null | null | null | from mysql.connector import MySQLConnection, Error
from db_config import read_db_config
def connect():
""" Connect to MySQL database """
db_config = read_db_config()
try:
print('Connecting to MySQL database...')
conn = MySQLConnection(**db_config)
if conn.is_connected():
... | 22.238095 | 50 | 0.620985 |
7982fc7abe4fa968f9cb765feca4adab4deac0f7 | 6,709 | py | Python | structured/Tools/MADna/CreateMolecule/CreateBonds.py | PabloIbannez/UAMMD-structured | 897d7211c3d37123976a03bc5ffa545495d673cd | [
"MIT"
] | null | null | null | structured/Tools/MADna/CreateMolecule/CreateBonds.py | PabloIbannez/UAMMD-structured | 897d7211c3d37123976a03bc5ffa545495d673cd | [
"MIT"
] | null | null | null | structured/Tools/MADna/CreateMolecule/CreateBonds.py | PabloIbannez/UAMMD-structured | 897d7211c3d37123976a03bc5ffa545495d673cd | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import sys
import math
import numpy as np
import glob
import scipy.optimize as optimization
import os
from itertools import islice
import re
#Bond Types
# 1-16 -> SP
# 17-32 -> PS
# 33-36 -> SB
# 37-38 -> BB-inter
# 39-54 -> BB-intra
WC = {
'A': 'T',
'C': 'G',
'G': 'C',
'T': 'A... | 22.513423 | 96 | 0.551647 |
7982fe149b30331b7819b73acad3bbc92d99efe0 | 1,032 | py | Python | eos/convert_files_to_csv.py | ScottHull/FDPS_SPH | 6db11d599d433f889da100e78c17d6f65365ceda | [
"MIT"
] | null | null | null | eos/convert_files_to_csv.py | ScottHull/FDPS_SPH | 6db11d599d433f889da100e78c17d6f65365ceda | [
"MIT"
] | null | null | null | eos/convert_files_to_csv.py | ScottHull/FDPS_SPH | 6db11d599d433f889da100e78c17d6f65365ceda | [
"MIT"
] | null | null | null | import os
import csv
fname1 = 'granite.rho_u.txt'
fname2 = 'granite.table.txt'
fnames = [fname1, fname2]
def returnReader(fname, delimiter):
with open(fname, 'r') as infile:
reader = csv.reader(infile, delimiter=delimiter)
return list(reader)
def removeOutput(oname):
if oname in os.listdir(os... | 28.666667 | 57 | 0.501938 |
7983006e8e02ffbe1d60c031f41fc66dc8b48974 | 1,480 | py | Python | rllib/examples/env/simple_rpg.py | firebolt55439/ray | 215300b070628c06f0106906fc6c03bd70ebf140 | [
"Apache-2.0"
] | 21,382 | 2016-09-26T23:12:52.000Z | 2022-03-31T21:47:45.000Z | rllib/examples/env/simple_rpg.py | firebolt55439/ray | 215300b070628c06f0106906fc6c03bd70ebf140 | [
"Apache-2.0"
] | 19,689 | 2016-09-17T08:21:25.000Z | 2022-03-31T23:59:30.000Z | rllib/examples/env/simple_rpg.py | firebolt55439/ray | 215300b070628c06f0106906fc6c03bd70ebf140 | [
"Apache-2.0"
] | 4,114 | 2016-09-23T18:54:01.000Z | 2022-03-31T15:07:32.000Z | import gym
from gym.spaces import Discrete, Box, Dict
from ray.rllib.utils.spaces.repeated import Repeated
# Constraints on the Repeated space.
MAX_PLAYERS = 4
MAX_ITEMS = 7
MAX_EFFECTS = 2
class SimpleRPG(gym.Env):
"""Example of a custom env with a complex, structured observation.
The observation is a lis... | 30.204082 | 77 | 0.645946 |
798300822d244326d67a5b19173afdb51a775ca5 | 5,361 | py | Python | tests/test_struct/test_summary/test_summary_nodes.py | smoe/pybel | 9a45a7b3b62da55b459c8d8acbba45f7aef91442 | [
"Apache-2.0"
] | null | null | null | tests/test_struct/test_summary/test_summary_nodes.py | smoe/pybel | 9a45a7b3b62da55b459c8d8acbba45f7aef91442 | [
"Apache-2.0"
] | null | null | null | tests/test_struct/test_summary/test_summary_nodes.py | smoe/pybel | 9a45a7b3b62da55b459c8d8acbba45f7aef91442 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""Tests for summary functions for nodes."""
import unittest
from collections import Counter
from pybel import BELGraph
from pybel.constants import ABUNDANCE, BIOPROCESS, COMPLEX, PROTEIN
from pybel.dsl import fusion_range, pathology, protein, protein_fusion
from pybel.examples import egf_gra... | 35.74 | 114 | 0.631039 |
798301d9ed402f9f0f1c3dc1ebcdc27b39c485d4 | 54,808 | py | Python | dask_ml/model_selection/_search.py | cmarmo/dask-ml | a5b96edf863e3540be83c8321a9e2aa37dc91b4a | [
"BSD-3-Clause"
] | null | null | null | dask_ml/model_selection/_search.py | cmarmo/dask-ml | a5b96edf863e3540be83c8321a9e2aa37dc91b4a | [
"BSD-3-Clause"
] | null | null | null | dask_ml/model_selection/_search.py | cmarmo/dask-ml | a5b96edf863e3540be83c8321a9e2aa37dc91b4a | [
"BSD-3-Clause"
] | null | null | null | from __future__ import absolute_import, division, print_function
import logging
import numbers
from collections import defaultdict
from itertools import repeat
from multiprocessing import cpu_count
from operator import getitem
import dask
import numpy as np
import packaging.version
from dask.base import tokenize
from... | 31.809634 | 88 | 0.573821 |
798302d18dce5404441870f74006793fdb31cdad | 447 | py | Python | src/apps/children/migrations/0002_auto_20160914_1051.py | mitrofun/kids2 | 6059422c911966e4799e5947d0fc243328bb5787 | [
"MIT"
] | null | null | null | src/apps/children/migrations/0002_auto_20160914_1051.py | mitrofun/kids2 | 6059422c911966e4799e5947d0fc243328bb5787 | [
"MIT"
] | null | null | null | src/apps/children/migrations/0002_auto_20160914_1051.py | mitrofun/kids2 | 6059422c911966e4799e5947d0fc243328bb5787 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.9.5 on 2016-09-14 10:51
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('children', '0001_initial'),
]
operations = [
migrations.AlterUniqueTogether(
... | 22.35 | 90 | 0.619687 |
7983032f1a1248eca4c16027af6e3255ee7d04db | 22,453 | py | Python | python/paddle/incubate/autograd/primrules.py | L-Net-1992/Paddle | 4d0ca02ba56760b456f3d4b42a538555b9b6c307 | [
"Apache-2.0"
] | 11 | 2016-08-29T07:43:26.000Z | 2016-08-29T07:51:24.000Z | python/paddle/incubate/autograd/primrules.py | L-Net-1992/Paddle | 4d0ca02ba56760b456f3d4b42a538555b9b6c307 | [
"Apache-2.0"
] | null | null | null | python/paddle/incubate/autograd/primrules.py | L-Net-1992/Paddle | 4d0ca02ba56760b456f3d4b42a538555b9b6c307 | [
"Apache-2.0"
] | 1 | 2021-09-24T11:23:36.000Z | 2021-09-24T11:23:36.000Z | # Copyright (c) 2022 PaddlePaddle 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 appli... | 29.739073 | 166 | 0.619784 |
79830341789d49e9d75da15169191a7fc1833c49 | 9,145 | py | Python | examples/bluetooth/ble_temperature_central.py | amirgon/lv_mpy | 9b4e5b35d809380efd397f0287aa22957071d978 | [
"MIT"
] | 1 | 2021-01-05T22:33:46.000Z | 2021-01-05T22:33:46.000Z | examples/bluetooth/ble_temperature_central.py | amirgon/lv_mpy | 9b4e5b35d809380efd397f0287aa22957071d978 | [
"MIT"
] | null | null | null | examples/bluetooth/ble_temperature_central.py | amirgon/lv_mpy | 9b4e5b35d809380efd397f0287aa22957071d978 | [
"MIT"
] | 1 | 2021-05-11T05:17:16.000Z | 2021-05-11T05:17:16.000Z | # This example finds and connects to a BLE temperature sensor (e.g. the one in ble_temperature.py).
import bluetooth
import random
import struct
import time
import micropython
from ble_advertising import decode_services, decode_name
from micropython import const
_IRQ_CENTRAL_CONNECT = const(1)
_IRQ_CENTRAL_DISCONNE... | 34.640152 | 99 | 0.642428 |
798304ce1fcf761a92a8ce19dfd8d8d271f243d2 | 633 | py | Python | telegram_bot/handlers/messages/sum.py | ProgrammingLanguageLeader/MathematicianBot | a4627962a6c8bfac76013d80780997ab4b0f7952 | [
"MIT"
] | null | null | null | telegram_bot/handlers/messages/sum.py | ProgrammingLanguageLeader/MathematicianBot | a4627962a6c8bfac76013d80780997ab4b0f7952 | [
"MIT"
] | 16 | 2018-03-05T14:25:16.000Z | 2022-03-11T23:46:56.000Z | telegram_bot/handlers/messages/sum.py | ProgrammingLanguageLeader/MathematicianBot | a4627962a6c8bfac76013d80780997ab4b0f7952 | [
"MIT"
] | null | null | null | from telegram import ReplyKeyboardRemove
from telegram_bot.handlers.utils.decorators import write_logs, send_typing, \
remember_new_user
from telegram_bot.handlers.utils.menu_entries import MenuEntry
@write_logs
@send_typing
@remember_new_user
def handle_sum(bot, update) -> int:
chat_id = update.message.chat... | 30.142857 | 77 | 0.709321 |
7983052064db161f0200c2cec58c2cc62df44203 | 159,901 | py | Python | src/pagure/hooks/files/git_multimail_upstream.py | yifengyou/learn-pagure | e54ba955368918c92ad2be6347b53bb2c24a228c | [
"Unlicense"
] | null | null | null | src/pagure/hooks/files/git_multimail_upstream.py | yifengyou/learn-pagure | e54ba955368918c92ad2be6347b53bb2c24a228c | [
"Unlicense"
] | null | null | null | src/pagure/hooks/files/git_multimail_upstream.py | yifengyou/learn-pagure | e54ba955368918c92ad2be6347b53bb2c24a228c | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python
__version__ = "1.4.0"
# Copyright (c) 2015-2016 Matthieu Moy and others
# Copyright (c) 2012-2014 Michael Haggerty and others
# Derived from contrib/hooks/post-receive-email, which is
# Copyright (c) 2007 Andy Parkins
# and also includes contributions by other authors.
#
# This file is part of g... | 34.806487 | 93 | 0.593486 |
7983072e9191c47733615512cd20df66e53cee6b | 5,251 | py | Python | dask/dataframe/io/demo.py | aeisenbarth/dask | 3c46e89aea2af010e69049cd638094fea2ddd576 | [
"BSD-3-Clause"
] | 9,684 | 2016-02-12T16:09:21.000Z | 2022-03-31T19:38:26.000Z | dask/dataframe/io/demo.py | aeisenbarth/dask | 3c46e89aea2af010e69049cd638094fea2ddd576 | [
"BSD-3-Clause"
] | 7,059 | 2016-02-11T18:32:45.000Z | 2022-03-31T22:12:40.000Z | dask/dataframe/io/demo.py | aeisenbarth/dask | 3c46e89aea2af010e69049cd638094fea2ddd576 | [
"BSD-3-Clause"
] | 1,794 | 2016-02-13T23:28:39.000Z | 2022-03-30T14:33:19.000Z | import numpy as np
import pandas as pd
from ...highlevelgraph import HighLevelGraph
from ...layers import DataFrameIOLayer
from ...utils import random_state_data
from ..core import DataFrame, tokenize
__all__ = ["make_timeseries"]
def make_float(n, rstate):
return rstate.rand(n) * 2 - 1
def make_int(n, rstate... | 27.783069 | 87 | 0.596077 |
798308716e1c43700d868dd091fee901e7dc3064 | 16,332 | py | Python | tensorflow_model_analysis/api/tfma_unit.py | josephw-ml/model-analysis | 3105200fd39aa46e4c4d83aa460d92aa08a4b784 | [
"Apache-2.0"
] | null | null | null | tensorflow_model_analysis/api/tfma_unit.py | josephw-ml/model-analysis | 3105200fd39aa46e4c4d83aa460d92aa08a4b784 | [
"Apache-2.0"
] | null | null | null | tensorflow_model_analysis/api/tfma_unit.py | josephw-ml/model-analysis | 3105200fd39aa46e4c4d83aa460d92aa08a4b784 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 41.663265 | 105 | 0.706956 |
798308ef6ce7a9702e112e67186f18de86676e4a | 47,955 | py | Python | For_Real_iCub/learning/learnwoFd.py | a-taniguchi/CSL-BGM | 64bd803289e55b76a219c02ea040325a8a5b949e | [
"MIT"
] | 1 | 2018-09-27T12:19:05.000Z | 2018-09-27T12:19:05.000Z | For_Real_iCub/learning/learnwoFd.py | neuronalX/CSL-BGM | 2fc66611928783c9b65c675ec84d9c06e0b6cd8a | [
"MIT"
] | null | null | null | For_Real_iCub/learning/learnwoFd.py | neuronalX/CSL-BGM | 2fc66611928783c9b65c675ec84d9c06e0b6cd8a | [
"MIT"
] | 1 | 2018-09-27T12:19:21.000Z | 2018-09-27T12:19:21.000Z | #coding:utf-8
##############################################
# iCub learning program
# Basically, Gibbs sampling of GMMs and LDA (Fdの制約なし)
# Akira Taniguchi 2016/05/31-2016/6/15-2017/03/15
##############################################
###そもそもどんなデータを受け取るのか
#別プログラムで、処理しておいて、読み込むだけにする（？）
#単語は、latticelmする場合は、... | 37.759843 | 515 | 0.480909 |
798309412280bea39f5b3a4f130640c04d27789e | 1,261 | py | Python | algorithms/sort/merge_sort.py | OrangeShen/algorithms | 111ae513e25579418a31283109a4eb4aed089425 | [
"MIT"
] | null | null | null | algorithms/sort/merge_sort.py | OrangeShen/algorithms | 111ae513e25579418a31283109a4eb4aed089425 | [
"MIT"
] | null | null | null | algorithms/sort/merge_sort.py | OrangeShen/algorithms | 111ae513e25579418a31283109a4eb4aed089425 | [
"MIT"
] | null | null | null | def merge_sort(arr):
""" Merge Sort
Complexity: O(n log(n))
"""
# Our recursive base case
if len(arr) <= 1:
return arr
mid = len(arr) // 2
# Perform merge_sort recursively on both halves
left, right = merge_sort(arr[:mid]), merge_sort(arr[mid:])
# Merge each side togethe... | 32.333333 | 68 | 0.632038 |
79830a2dcb34f5a9ad09aa8f700f9561e8647381 | 1,411 | py | Python | Client.py | Sohrj00/TAKR2018 | 69a3720c4ab1572d9d839d82f6b6eb9b4370d9df | [
"MIT"
] | null | null | null | Client.py | Sohrj00/TAKR2018 | 69a3720c4ab1572d9d839d82f6b6eb9b4370d9df | [
"MIT"
] | null | null | null | Client.py | Sohrj00/TAKR2018 | 69a3720c4ab1572d9d839d82f6b6eb9b4370d9df | [
"MIT"
] | null | null | null | import random
import asyncio
#globalni promenne
n=65537
g=111
maleC=123123
def diffehel(velkeS):
global n,g,maleC
velkeS=int(velkeS)
klic=velkeS**maleC%n
return klic
async def posliVecDostanOdpoved(message, loop):
reader, writer = await asyncio.open_connection('127.0.0.1', 888... | 23.915254 | 80 | 0.632176 |
79830a4c9952967dea366334f17adac06eb8e07e | 257 | py | Python | tea_admin/tea_admin/doctype/kamjari/test_kamjari.py | nivedita05/Tea-Admin | 4267cfa9d0c97e586bd9b5401e310bcd8ec93268 | [
"MIT"
] | null | null | null | tea_admin/tea_admin/doctype/kamjari/test_kamjari.py | nivedita05/Tea-Admin | 4267cfa9d0c97e586bd9b5401e310bcd8ec93268 | [
"MIT"
] | null | null | null | tea_admin/tea_admin/doctype/kamjari/test_kamjari.py | nivedita05/Tea-Admin | 4267cfa9d0c97e586bd9b5401e310bcd8ec93268 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2015, Frappe and Contributors
# See license.txt
from __future__ import unicode_literals
import frappe
import unittest
# test_records = frappe.get_test_records('Kamjari')
class TestKamjari(unittest.TestCase):
pass
| 19.769231 | 51 | 0.766537 |
79830aa46993b1e13d5b4dfd1253502a4c53ec30 | 3,675 | py | Python | lib/utils/oauth.py | sierrezinal/api-l3x-in | 0c5122a29ecd8f94cb9b99909499c330969d26ee | [
"Apache-2.0"
] | 1 | 2021-02-04T23:42:43.000Z | 2021-02-04T23:42:43.000Z | lib/utils/oauth.py | sierrezinal/api-l3x-in | 0c5122a29ecd8f94cb9b99909499c330969d26ee | [
"Apache-2.0"
] | null | null | null | lib/utils/oauth.py | sierrezinal/api-l3x-in | 0c5122a29ecd8f94cb9b99909499c330969d26ee | [
"Apache-2.0"
] | null | null | null | from typing import (
Iterable,
Mapping,
Optional,
)
from . import (
HandledError,
Log,
Response,
)
from .helpers import (
import_non_stdlib_module,
send_http_request,
)
oauthlib = import_non_stdlib_module("oauthlib.oauth2") # pylint: disable=invalid-name
requests_oauthlib = import_no... | 33.108108 | 97 | 0.623673 |
79830ab76f7fef13ad38c4efff90563bf7d225f4 | 3,813 | py | Python | examples/withRaycing/02_Balder_BL/__init__.py | adinatan/xrt | 75b884c0cba7e1aac15b30f2d0d803597328a208 | [
"MIT"
] | 71 | 2016-07-04T06:40:52.000Z | 2022-03-31T10:03:07.000Z | examples/withRaycing/02_Balder_BL/__init__.py | adinatan/xrt | 75b884c0cba7e1aac15b30f2d0d803597328a208 | [
"MIT"
] | 99 | 2016-07-10T16:39:05.000Z | 2022-03-28T07:50:10.000Z | examples/withRaycing/02_Balder_BL/__init__.py | adinatan/xrt | 75b884c0cba7e1aac15b30f2d0d803597328a208 | [
"MIT"
] | 30 | 2016-07-08T17:12:30.000Z | 2022-03-30T06:54:21.000Z | # -*- coding: utf-8 -*-
r"""
Beamline optics
---------------
The images below are produced by the scripts in
``\examples\withRaycing\02_Balder_BL\``.
The examples show the scans of various optical elements at Balder@MaxIV
beamline. The source is a multipole conventional wiggler.
Diamond filter of varying thickness
... | 37.019417 | 79 | 0.468135 |
79830b257513e33fedb297961ef6fbdc6376af4e | 20,879 | py | Python | sdk/python/pulumi_vsphere/storage_drs_vm_override.py | pulumi/pulumi-vsphere | a4536cd49860323bd57cbf2a127c5b57c9f9b60c | [
"ECL-2.0",
"Apache-2.0"
] | 38 | 2018-09-17T18:56:29.000Z | 2022-03-26T03:07:20.000Z | sdk/python/pulumi_vsphere/storage_drs_vm_override.py | pulumi/pulumi-vsphere | a4536cd49860323bd57cbf2a127c5b57c9f9b60c | [
"ECL-2.0",
"Apache-2.0"
] | 75 | 2018-09-17T13:18:24.000Z | 2022-03-31T21:32:30.000Z | sdk/python/pulumi_vsphere/storage_drs_vm_override.py | pulumi/pulumi-vsphere | a4536cd49860323bd57cbf2a127c5b57c9f9b60c | [
"ECL-2.0",
"Apache-2.0"
] | 2 | 2019-10-05T10:30:01.000Z | 2020-09-30T11:16:59.000Z | # 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 ... | 49.711905 | 134 | 0.67144 |
79830bf4bf6e5da3c81ebb8252d9cb24353ba5c6 | 4,709 | py | Python | chapter05/06_RaceTrack_MCC_OffP.py | cemkaraoguz/reinforcement-learning-an-introduction-second-edition | 735bfa6b66ffb52b7cf03966164e7bc1755942de | [
"MIT"
] | 1 | 2022-03-01T11:48:55.000Z | 2022-03-01T11:48:55.000Z | chapter05/06_RaceTrack_MCC_OffP.py | cemkaraoguz/reinforcement-learning-an-introduction-second-edition | 735bfa6b66ffb52b7cf03966164e7bc1755942de | [
"MIT"
] | null | null | null | chapter05/06_RaceTrack_MCC_OffP.py | cemkaraoguz/reinforcement-learning-an-introduction-second-edition | 735bfa6b66ffb52b7cf03966164e7bc1755942de | [
"MIT"
] | null | null | null | '''
06_RaceTrack_MCC_OffP.py : Solution to exercise 5.12
Cem Karaoguz, 2020
MIT License
'''
import sys
import numpy as np
import pylab as pl
from mpl_toolkits.mplot3d import Axes3D
from IRL.environments.Gridworlds import RaceTrack
from IRL.agents.MonteCarlo import MonteCarloOffPolicyControl
from IRL.utils.Policies i... | 34.881481 | 109 | 0.661924 |
79830c4528dd658144ce3810dbb38c44be2e2da6 | 4,604 | py | Python | third_party/harfbuzz/test/subset/run-tests.py | panda-factory/showmaker | cd76586af8227e2325f44b28f3c93aadec6b22ea | [
"Apache-2.0"
] | null | null | null | third_party/harfbuzz/test/subset/run-tests.py | panda-factory/showmaker | cd76586af8227e2325f44b28f3c93aadec6b22ea | [
"Apache-2.0"
] | 1 | 2021-10-12T08:44:43.000Z | 2021-10-12T08:44:43.000Z | third_party/harfbuzz/test/subset/run-tests.py | panda-factory/wtf | cd76586af8227e2325f44b28f3c93aadec6b22ea | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# Runs a subsetting test suite. Compares the results of subsetting via harfbuzz
# to subsetting via fonttools.
from difflib import unified_diff
import os
import re
import subprocess
import sys
import tempfile
import shutil
import io
import hashlib
from subset_test_suite import SubsetTestSuite
... | 30.899329 | 110 | 0.680278 |
79830c871684e65eb27513f01cc3d97f20f7dd1a | 47,923 | py | Python | napari/layers/shapes/_tests/test_shapes.py | danielballan/napari | 9963d6bf52971f8f240b507be206ec682487fb4a | [
"BSD-3-Clause"
] | null | null | null | napari/layers/shapes/_tests/test_shapes.py | danielballan/napari | 9963d6bf52971f8f240b507be206ec682487fb4a | [
"BSD-3-Clause"
] | null | null | null | napari/layers/shapes/_tests/test_shapes.py | danielballan/napari | 9963d6bf52971f8f240b507be206ec682487fb4a | [
"BSD-3-Clause"
] | null | null | null | from copy import copy
from itertools import cycle, islice
import numpy as np
import pandas as pd
import pytest
from vispy.color import get_colormap
from napari.layers import Shapes
from napari.utils.colormaps.standardize_color import transform_color
def _make_cycled_properties(values, length):
"""Helper functio... | 33.724842 | 83 | 0.651086 |
79830cb2c32e00c74567da960cdcf4ecf203bcd0 | 474 | py | Python | torchtext/models/roberta/__init__.py | pmeier/text | 91dde7e938e38cf31029d9c41799bd4e29c5fa78 | [
"BSD-3-Clause"
] | null | null | null | torchtext/models/roberta/__init__.py | pmeier/text | 91dde7e938e38cf31029d9c41799bd4e29c5fa78 | [
"BSD-3-Clause"
] | null | null | null | torchtext/models/roberta/__init__.py | pmeier/text | 91dde7e938e38cf31029d9c41799bd4e29c5fa78 | [
"BSD-3-Clause"
] | null | null | null | from .model import (
RobertaEncoderConf,
RobertaClassificationHead,
RobertaModel,
)
from .bundler import (
RobertaModelBundle,
XLMR_BASE_ENCODER,
XLMR_LARGE_ENCODER,
ROBERTA_BASE_ENCODER,
ROBERTA_LARGE_ENCODER,
)
__all__ = [
"RobertaEncoderConf",
"RobertaClassificationHead",
... | 18.96 | 32 | 0.71097 |
79830d02fc9a734167ec74b2bc663733fc71070f | 8,790 | py | Python | pyxform/question.py | HaidarZ/pyxform | a80dea062c7c75299869d64239c6ac3223d77e31 | [
"BSD-2-Clause"
] | null | null | null | pyxform/question.py | HaidarZ/pyxform | a80dea062c7c75299869d64239c6ac3223d77e31 | [
"BSD-2-Clause"
] | null | null | null | pyxform/question.py | HaidarZ/pyxform | a80dea062c7c75299869d64239c6ac3223d77e31 | [
"BSD-2-Clause"
] | null | null | null | import os.path
from pyxform.errors import PyXFormError
from pyxform.question_type_dictionary import QUESTION_TYPE_DICT
from pyxform.survey_element import SurveyElement
from pyxform.utils import basestring, node, unicode
class Question(SurveyElement):
def validate(self):
SurveyElement.validate(self)
... | 31.281139 | 78 | 0.584414 |
79830e590b0528a5e9596cc2ccabdd0b3b9d6960 | 3,902 | py | Python | trick_source/er7_utils/sims/SIM_grav/RUN_test/long_er7_euler.py | gilbertguoze/trick | f0537efb0fa3cb5c0c84e36b60f055c1d1c60d21 | [
"NASA-1.3"
] | 647 | 2015-05-07T16:08:16.000Z | 2022-03-30T02:33:21.000Z | trick_source/er7_utils/sims/SIM_grav/RUN_test/long_er7_euler.py | gilbertguoze/trick | f0537efb0fa3cb5c0c84e36b60f055c1d1c60d21 | [
"NASA-1.3"
] | 995 | 2015-04-30T19:44:31.000Z | 2022-03-31T20:14:44.000Z | trick_source/er7_utils/sims/SIM_grav/RUN_test/long_er7_euler.py | gilbertguoze/trick | f0537efb0fa3cb5c0c84e36b60f055c1d1c60d21 | [
"NASA-1.3"
] | 251 | 2015-05-15T09:24:34.000Z | 2022-03-22T20:39:05.000Z | # Configure the simulation control parameters.
trick.sim_services.exec_set_trap_sigbus(1)
trick.sim_services.exec_set_trap_sigfpe(1)
trick.sim_services.exec_set_trap_sigsegv(1)
# Turn off unneeded Trick objects
trick_sys.sched.set_sim_object_onoff("trick_vs", 0)
trick_sys.sched.set_sim_object_onoff("instruments", 0)
t... | 33.930435 | 74 | 0.789339 |
798310eeb23efdc89ca89b00255258b52fe09e52 | 1,160 | py | Python | istarmap.py | AlexStirban/PlagiarismDetector | e361ccfe60688cf1e110ddd79eafab613905d7c9 | [
"MIT"
] | 3 | 2020-11-19T08:12:43.000Z | 2021-04-13T03:31:38.000Z | istarmap.py | AlexStirban/PlagiarismDetector | e361ccfe60688cf1e110ddd79eafab613905d7c9 | [
"MIT"
] | null | null | null | istarmap.py | AlexStirban/PlagiarismDetector | e361ccfe60688cf1e110ddd79eafab613905d7c9 | [
"MIT"
] | 1 | 2020-11-03T01:28:34.000Z | 2020-11-03T01:28:34.000Z | #######################################################################################
# Thanks to Darkoanout fo the istarmap patch #
# Taken from: https://stackoverflow.com/questions/57354700/starmap-combined-with-tqdm #
########################################################... | 34.117647 | 87 | 0.487931 |
798311ea87dbf0ee56b7fdb2a3f36fce4ac48f7e | 2,026 | py | Python | pytest_shard/pytest_shard.py | alex/pytest-shard | 077beb3f7059deb5cfd5a74c887b9132de7020ae | [
"MIT"
] | null | null | null | pytest_shard/pytest_shard.py | alex/pytest-shard | 077beb3f7059deb5cfd5a74c887b9132de7020ae | [
"MIT"
] | null | null | null | pytest_shard/pytest_shard.py | alex/pytest-shard | 077beb3f7059deb5cfd5a74c887b9132de7020ae | [
"MIT"
] | null | null | null | """Shard tests to support parallelism across multiple machines."""
import hashlib
from typing import Iterable, List, Sequence
from _pytest import nodes # for type checking only
def positive_int(x) -> int:
x = int(x)
if x < 0:
raise ValueError(f"Argument {x} must be positive")
return x
def pyt... | 31.65625 | 99 | 0.666831 |
798312d5b33d0ec90840eedd368b944a42e15d22 | 1,617 | py | Python | libkol/request/store_item_remove.py | danheath/pykol-lib | bdc9aa8dbae64ead07e7dbc36f9d6ba802f65ddc | [
"BSD-3-Clause"
] | 6 | 2019-06-11T19:25:32.000Z | 2022-01-21T17:05:01.000Z | libkol/request/store_item_remove.py | danheath/pykol-lib | bdc9aa8dbae64ead07e7dbc36f9d6ba802f65ddc | [
"BSD-3-Clause"
] | 8 | 2019-06-17T11:41:14.000Z | 2019-08-07T17:28:50.000Z | libkol/request/store_item_remove.py | python-kol/pykollib | bdc9aa8dbae64ead07e7dbc36f9d6ba802f65ddc | [
"BSD-3-Clause"
] | 9 | 2019-06-09T22:23:06.000Z | 2021-07-10T00:49:00.000Z | import libkol
from ..Error import ItemNotFoundError, UnknownError
from ..pattern import PatternManager
from .request import Request
class store_item_remove(Request[bool]):
"""
Take a single item from your store using the new Mall interface from Sep 2013
Class expects at least an itemId. If no quantity i... | 35.933333 | 94 | 0.691404 |
798312fd0ba60e6d0d3666d198d4c03535da0246 | 6,499 | py | Python | data/external/repositories_2to3/115375/hail-seizure-master/train.py | Keesiu/meta-kaggle | 87de739aba2399fd31072ee81b391f9b7a63f540 | [
"MIT"
] | null | null | null | data/external/repositories_2to3/115375/hail-seizure-master/train.py | Keesiu/meta-kaggle | 87de739aba2399fd31072ee81b391f9b7a63f540 | [
"MIT"
] | null | null | null | data/external/repositories_2to3/115375/hail-seizure-master/train.py | Keesiu/meta-kaggle | 87de739aba2399fd31072ee81b391f9b7a63f540 | [
"MIT"
] | 1 | 2019-12-04T08:23:33.000Z | 2019-12-04T08:23:33.000Z | #!/usr/bin/env python3
import python.utils as utils
import os
import joblib
import pickle
import pdb
def main(settingsfname, verbose=False, store_models=True,
store_features=False, save_training_detailed=False,
load_pickled=False, parallel=0):
settings = utils.get_settings(setting... | 39.871166 | 82 | 0.413756 |
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