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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
65106635994d91a479c18b140e8932588b6e8457 | 2,385 | py | Python | result/forms.py | Uqhs-1/uqhs | 1c7199d8c23a9d9eb3f75b1e36633a145fd2cd40 | [
"MIT"
] | 3 | 2020-06-16T20:03:31.000Z | 2021-01-17T20:45:51.000Z | result/forms.py | Uqhs-1/uqhs | 1c7199d8c23a9d9eb3f75b1e36633a145fd2cd40 | [
"MIT"
] | 8 | 2020-02-08T09:04:08.000Z | 2021-06-09T18:31:03.000Z | result/forms.py | Uqhs-1/uqhs | 1c7199d8c23a9d9eb3f75b1e36633a145fd2cd40 | [
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
"""
Created on Wed Jan 23 08:25:37 2019
@author: AdeolaOlalekan
"""
from django import forms
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.models import User
from .models import BTUTOR, CNAME, Edit_User, QSUBJECT, Post
####################################... | 29.8125 | 154 | 0.609224 |
6512ccce127a82c68b221b5453c2086be0c2bb8b | 3,165 | py | Python | 00-basic/04_01_data_structures_lists.py | TranXuanHoang/Python | 6e62282540a7f1e2b2d0dff99b1803715bf6c4b0 | [
"CNRI-Python"
] | null | null | null | 00-basic/04_01_data_structures_lists.py | TranXuanHoang/Python | 6e62282540a7f1e2b2d0dff99b1803715bf6c4b0 | [
"CNRI-Python"
] | null | null | null | 00-basic/04_01_data_structures_lists.py | TranXuanHoang/Python | 6e62282540a7f1e2b2d0dff99b1803715bf6c4b0 | [
"CNRI-Python"
] | null | null | null | # Lists
# Basics
foods = ['rice', 'Meat', 'vegetables', 'Eggs']
print(foods)
# Same as foods[len(foods):] = ['butter']
foods.append('butter')
print(foods)
# Same as foods[len(foods):] = ['tomatoes', 'chili sauce']
foods.extend(['tomatoes', 'Chili sauce'])
print(foods)
# Reverse order of elements in th... | 25.524194 | 79 | 0.581043 |
6513f213b7ae02509adbae8bebb7d8031a8a3323 | 110 | py | Python | pond5/blueprints/webui/views.py | IvanFrezzaJr/pond5 | 02cc39262b33eac59727ee416645f7006a99b099 | [
"MIT"
] | null | null | null | pond5/blueprints/webui/views.py | IvanFrezzaJr/pond5 | 02cc39262b33eac59727ee416645f7006a99b099 | [
"MIT"
] | null | null | null | pond5/blueprints/webui/views.py | IvanFrezzaJr/pond5 | 02cc39262b33eac59727ee416645f7006a99b099 | [
"MIT"
] | null | null | null | from flask import render_template
| 18.333333 | 60 | 0.745455 |
6514ff55c2d00ee1deed3eaa7d8b92b095c218ad | 141 | py | Python | featureflags/__init__.py | enverbisevac/ff-python-server-sdk | e7c809229d13517e0bf4b28fc0a556e693c9034e | [
"Apache-2.0"
] | null | null | null | featureflags/__init__.py | enverbisevac/ff-python-server-sdk | e7c809229d13517e0bf4b28fc0a556e693c9034e | [
"Apache-2.0"
] | null | null | null | featureflags/__init__.py | enverbisevac/ff-python-server-sdk | e7c809229d13517e0bf4b28fc0a556e693c9034e | [
"Apache-2.0"
] | null | null | null | """Top-level package for Feature Flag Server SDK."""
__author__ = """Enver Bisevac"""
__email__ = "enver@bisevac.com"
__version__ = "0.1.0"
| 23.5 | 52 | 0.695035 |
651500c04d2f53be7a66dad2701232feba9db8b0 | 4,919 | py | Python | MachineLearning/potential_field.py | JhaAman/lihax | c0421f62d7b86908a7c74251c1dc35b1407c4568 | [
"MIT"
] | null | null | null | MachineLearning/potential_field.py | JhaAman/lihax | c0421f62d7b86908a7c74251c1dc35b1407c4568 | [
"MIT"
] | null | null | null | MachineLearning/potential_field.py | JhaAman/lihax | c0421f62d7b86908a7c74251c1dc35b1407c4568 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import math, socket, struct, numpy as np, sys
# Get the gradient of the potential of an obstacle
# particle at (ox, oy) with the origin at (mx, my)
# Get the potential of an obstacle particle at (ox, oy)
# with the origin at (mx, my)
pf = PotentialField()
pf.receive_lidar()
| 42.042735 | 237 | 0.584468 |
6515124d4e3250bc474b369d4832ef055edc0d00 | 5,031 | py | Python | decomp/c/gen.py | nihilus/epanos | 998a9e3f45337df98b1bbc40b64954b079a1d4de | [
"MIT"
] | 1 | 2017-07-25T00:05:09.000Z | 2017-07-25T00:05:09.000Z | decomp/c/gen.py | nihilus/epanos | 998a9e3f45337df98b1bbc40b64954b079a1d4de | [
"MIT"
] | null | null | null | decomp/c/gen.py | nihilus/epanos | 998a9e3f45337df98b1bbc40b64954b079a1d4de | [
"MIT"
] | null | null | null | from itertools import imap, chain
from pycparser import c_generator, c_ast
from decomp import data, ida
from decomp.c import decl as cdecl, types as ep_ct
from decomp.cpu import ida as cpu_ida
XXX_INTRO_HACK = cpu_ida.ida_current_cpu().insns.support_header + '''
#include <stdint.h>
typedef union EPANOS_REG {
uint8... | 33.993243 | 135 | 0.624329 |
6515bd49015bb821ccbe010e9e5fbc460bed9de7 | 1,112 | py | Python | ocelot/io/__init__.py | cmutel/Ocelot | 20e9639570c43f84ae255750a6c402ebabe00981 | [
"BSD-3-Clause"
] | 21 | 2016-06-01T14:10:07.000Z | 2022-02-28T01:56:31.000Z | ocelot/io/__init__.py | cmutel/Ocelot | 20e9639570c43f84ae255750a6c402ebabe00981 | [
"BSD-3-Clause"
] | 152 | 2016-05-16T21:33:22.000Z | 2019-06-24T12:57:14.000Z | ocelot/io/__init__.py | cmutel/Ocelot | 20e9639570c43f84ae255750a6c402ebabe00981 | [
"BSD-3-Clause"
] | 12 | 2016-09-05T15:35:59.000Z | 2021-07-03T19:28:47.000Z | # -*- coding: utf-8 -*-
__all__ = (
"extract_directory",
"cleanup_data_directory",
"dataset_schema",
"validate_directory",
"validate_directory_against_xsd",
)
from .extract_ecospold2 import extract_ecospold2_directory
from ..filesystem import check_cache_directory, get_from_cache, cache_data
import... | 31.771429 | 82 | 0.75 |
65164ebc73c88c773a56c1c8312715ea40cc9b6c | 626 | py | Python | Data-Structure/Basic-Struct/Stack-Queues/Evaluation-of-Expressions/Eval.py | tz70s/lesson | a647105682bb0d1420c450d0cd7c56fe1de6e21b | [
"Apache-2.0"
] | 1 | 2015-08-27T17:27:43.000Z | 2015-08-27T17:27:43.000Z | Data-Structure/Basic-Struct/Stack-Queues/Evaluation-of-Expressions/Eval.py | tz70s/lesson | a647105682bb0d1420c450d0cd7c56fe1de6e21b | [
"Apache-2.0"
] | null | null | null | Data-Structure/Basic-Struct/Stack-Queues/Evaluation-of-Expressions/Eval.py | tz70s/lesson | a647105682bb0d1420c450d0cd7c56fe1de6e21b | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import stack
import queue
opset = {'*','+','(',")"}
if __name__ == "__main__":
eval()
| 17.885714 | 41 | 0.469649 |
65185342728b8ea46c26ce2b78a8072737b087c9 | 2,102 | py | Python | example/py/CHSHInequality/chsh_inequality.py | samn33/qlazy | b215febfec0a3b8192e57a20ec85f14576745a89 | [
"Apache-2.0"
] | 15 | 2019-04-09T13:02:58.000Z | 2022-01-13T12:57:08.000Z | example/py/CHSHInequality/chsh_inequality.py | samn33/qlazy | b215febfec0a3b8192e57a20ec85f14576745a89 | [
"Apache-2.0"
] | 3 | 2020-02-26T16:21:18.000Z | 2022-03-31T00:46:53.000Z | example/py/CHSHInequality/chsh_inequality.py | samn33/qlazy | b215febfec0a3b8192e57a20ec85f14576745a89 | [
"Apache-2.0"
] | 3 | 2021-01-28T05:38:55.000Z | 2021-10-30T12:19:19.000Z | import random
from qlazy import QState
if __name__ == '__main__':
classical_strategy()
quantum_strategy()
| 25.634146 | 77 | 0.450523 |
65192f76bf69dd1b91580c7c3d8c5be7720e2e54 | 410 | py | Python | peerplays/blockchainobject.py | farisshajahan/python-peerplays | 260e43d39307554f5c35574fe7a6f5451a51697f | [
"MIT"
] | 10 | 2019-03-14T03:09:42.000Z | 2021-03-17T10:20:05.000Z | peerplays/blockchainobject.py | farisshajahan/python-peerplays | 260e43d39307554f5c35574fe7a6f5451a51697f | [
"MIT"
] | 8 | 2019-04-02T17:07:20.000Z | 2020-04-30T08:24:01.000Z | peerplays/blockchainobject.py | farisshajahan/python-peerplays | 260e43d39307554f5c35574fe7a6f5451a51697f | [
"MIT"
] | 4 | 2019-04-02T17:00:22.000Z | 2021-08-09T11:28:20.000Z | # -*- coding: utf-8 -*-
from .instance import BlockchainInstance
from graphenecommon.blockchainobject import (
BlockchainObject as GrapheneBlockchainObject,
BlockchainObjects as GrapheneBlockchainObjects,
ObjectCache,
)
| 22.777778 | 51 | 0.807317 |
651a2825c2a207bb2573070d6b6a820935667fe9 | 102 | py | Python | Code/Python/LeetCode/tempCodeRunnerFile.py | dks1018/CoffeeShopCoding | 13ac1700673c86c601eb2758570920620a956e4c | [
"ADSL"
] | null | null | null | Code/Python/LeetCode/tempCodeRunnerFile.py | dks1018/CoffeeShopCoding | 13ac1700673c86c601eb2758570920620a956e4c | [
"ADSL"
] | null | null | null | Code/Python/LeetCode/tempCodeRunnerFile.py | dks1018/CoffeeShopCoding | 13ac1700673c86c601eb2758570920620a956e4c | [
"ADSL"
] | null | null | null | arr_1 = ["1","2","3","4","5","6","7"]
arr_2 = []
for n in arr_1:
arr_2.insert(0,n)
print(arr_2)
| 12.75 | 37 | 0.5 |
651ec842e96c1b1f0d0e9ffe6067c0199b8a1424 | 124 | py | Python | pyvat/utils.py | ponyville/pyvat | 75fb781d3c00cf323544eb929a96344c1978e2c8 | [
"Apache-2.0"
] | 48 | 2015-07-22T12:02:20.000Z | 2022-02-07T16:54:13.000Z | pyvat/utils.py | ponyville/pyvat | 75fb781d3c00cf323544eb929a96344c1978e2c8 | [
"Apache-2.0"
] | 34 | 2015-03-27T17:47:38.000Z | 2022-02-08T18:14:55.000Z | pyvat/utils.py | ponyville/pyvat | 75fb781d3c00cf323544eb929a96344c1978e2c8 | [
"Apache-2.0"
] | 40 | 2015-04-08T14:03:06.000Z | 2022-02-09T12:29:04.000Z | from decimal import Decimal
| 20.666667 | 66 | 0.782258 |
651f360c505b719ccafc01d1fe50f1f24c9b71d7 | 117 | py | Python | pype/modules/idle_manager/__init__.py | simonebarbieri/pype | a6dc83aa1300738749cbe8e5e2e6d2d1794e0289 | [
"MIT"
] | null | null | null | pype/modules/idle_manager/__init__.py | simonebarbieri/pype | a6dc83aa1300738749cbe8e5e2e6d2d1794e0289 | [
"MIT"
] | null | null | null | pype/modules/idle_manager/__init__.py | simonebarbieri/pype | a6dc83aa1300738749cbe8e5e2e6d2d1794e0289 | [
"MIT"
] | null | null | null | from .idle_module import (
IdleManager,
IIdleManager
)
__all__ = (
"IdleManager",
"IIdleManager"
)
| 10.636364 | 26 | 0.632479 |
652012211d75f39757469a76ffbd1e2d590d912a | 289 | py | Python | server/src/tests/samples/typeConstraint3.py | higoshi/pyright | 183c0ef56d2c010d28018149949cda1a40aa59b8 | [
"MIT"
] | null | null | null | server/src/tests/samples/typeConstraint3.py | higoshi/pyright | 183c0ef56d2c010d28018149949cda1a40aa59b8 | [
"MIT"
] | null | null | null | server/src/tests/samples/typeConstraint3.py | higoshi/pyright | 183c0ef56d2c010d28018149949cda1a40aa59b8 | [
"MIT"
] | null | null | null | # This sample exercises the type analyzer's assert type constraint logic.
from typing import Union
| 19.266667 | 73 | 0.643599 |
65204673556284e6d6670bed61daa5eb343644d4 | 2,764 | py | Python | Attention.py | Pok0923/Time-series-forecasting-model | 58c0b1fd151b7fa73be323e8e1a6072876f06d10 | [
"MIT"
] | null | null | null | Attention.py | Pok0923/Time-series-forecasting-model | 58c0b1fd151b7fa73be323e8e1a6072876f06d10 | [
"MIT"
] | null | null | null | Attention.py | Pok0923/Time-series-forecasting-model | 58c0b1fd151b7fa73be323e8e1a6072876f06d10 | [
"MIT"
] | null | null | null | import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import backend as K
from keras.models import Sequential,Model
from keras.layers import *
from keras.optimizers import SGD,Adam
def selfattention_timeseries(nb_class, input_dim,):
model_input = Input(shape=input_dim)
#model_input = SinC... | 36.368421 | 71 | 0.608538 |
6523b70720c5c976b6f562eb7fe63867146d03b1 | 774 | py | Python | tests/remix/test_audio_chunk_merger.py | nroldanf/infiniteremixer | 5ffc2fc85e9cbebf6196d5baa374ba4630f2e3c0 | [
"MIT"
] | null | null | null | tests/remix/test_audio_chunk_merger.py | nroldanf/infiniteremixer | 5ffc2fc85e9cbebf6196d5baa374ba4630f2e3c0 | [
"MIT"
] | null | null | null | tests/remix/test_audio_chunk_merger.py | nroldanf/infiniteremixer | 5ffc2fc85e9cbebf6196d5baa374ba4630f2e3c0 | [
"MIT"
] | null | null | null | import numpy as np
import pytest
from infiniteremixer.remix.audiochunkmerger import AudioChunkMerger
| 27.642857 | 85 | 0.744186 |
6524869e78875d68bc7830017790dd24a2253209 | 738 | py | Python | app/libpinanny/__init__.py | MelonSmasher/piNanny | 2bc3a7b5eda83615e21518a2f36c3844b241d201 | [
"MIT"
] | null | null | null | app/libpinanny/__init__.py | MelonSmasher/piNanny | 2bc3a7b5eda83615e21518a2f36c3844b241d201 | [
"MIT"
] | 2 | 2021-03-10T05:28:36.000Z | 2021-09-02T05:40:44.000Z | app/libpinanny/__init__.py | MelonSmasher/piNanny | 2bc3a7b5eda83615e21518a2f36c3844b241d201 | [
"MIT"
] | null | null | null | from subprocess import PIPE, Popen
# Converts celsius temps to fahrenheit
# Gets the CPU temperature in degrees C
| 25.448276 | 62 | 0.609756 |
6525a7237e80a2dde7d058af9b7795a2a3cd2f21 | 4,247 | py | Python | paas-ce/paas/paas/esb/apps/guide/component_template/en/hcp/get_host_list.py | renmcc/bk-PaaS | 1c9e4e9cfb40fc3375cd6b5f08af8c84203de246 | [
"Apache-2.0"
] | 2 | 2019-09-22T13:54:53.000Z | 2021-07-29T02:31:40.000Z | paas-ce/paas/paas/esb/apps/guide/component_template/en/hcp/get_host_list.py | renmcc/bk-PaaS | 1c9e4e9cfb40fc3375cd6b5f08af8c84203de246 | [
"Apache-2.0"
] | 10 | 2021-02-08T20:32:31.000Z | 2022-03-11T23:47:06.000Z | paas-ce/paas/paas/esb/apps/guide/component_template/en/hcp/get_host_list.py | renmcc/bk-PaaS | 1c9e4e9cfb40fc3375cd6b5f08af8c84203de246 | [
"Apache-2.0"
] | 3 | 2019-08-22T09:05:31.000Z | 2021-03-23T14:21:19.000Z | # -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making PaaS (BlueKing PaaS Community Edition) available.
Copyright (C) 2017-2018 THL A29 Limited, a Tencent company. All rights reserved.
Licensed under the MIT License (the "License"); you may not use this file except in compliance ... | 30.120567 | 305 | 0.536379 |
6525b9fa24410fbd6e88a3ac0d7c4387bef24c34 | 1,354 | py | Python | pretix_googlepaypasses/views.py | pc-coholic/pretix-googlepaypasses | 1591ebf2b53294989ffca6ffcb185842196e034d | [
"Apache-2.0"
] | 2 | 2018-11-02T11:32:21.000Z | 2018-12-07T07:18:06.000Z | pretix_googlepaypasses/views.py | pc-coholic/pretix-googlepaypasses | 1591ebf2b53294989ffca6ffcb185842196e034d | [
"Apache-2.0"
] | 5 | 2018-10-30T19:49:56.000Z | 2018-11-26T21:11:42.000Z | pretix_googlepaypasses/views.py | pc-coholic/pretix-googlepaypasses | 1591ebf2b53294989ffca6ffcb185842196e034d | [
"Apache-2.0"
] | null | null | null | import json
import logging
from json import JSONDecodeError
from django.http import (
HttpResponse, HttpResponseBadRequest, HttpResponseForbidden,
)
from django.views.decorators.csrf import csrf_exempt
from django.views.decorators.http import require_POST
from pretix.base.models import Organizer
from . import tas... | 31.488372 | 117 | 0.716396 |
652624be473f589627bafdda2fb46234674c0cff | 12,300 | py | Python | alf/utils/checkpoint_utils.py | breakds/alf | b3d60048daee2c9625ba44f778e49570d0d029a7 | [
"Apache-2.0"
] | 1 | 2021-11-17T17:08:04.000Z | 2021-11-17T17:08:04.000Z | alf/utils/checkpoint_utils.py | ipsec/alf | 15fd71896eac5ad0987dbe14a9f630b32e0e131f | [
"Apache-2.0"
] | null | null | null | alf/utils/checkpoint_utils.py | ipsec/alf | 15fd71896eac5ad0987dbe14a9f630b32e0e131f | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2020 Horizon Robotics and ALF Contributors. 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... | 39.805825 | 89 | 0.579106 |
6526bd14e91e02ab2897caf04024aa618b204008 | 956 | py | Python | automon/integrations/slack/config.py | TheShellLand/automonisaur | b5f304a44449b8664c93d8a8a3c3cf2d73aa0ce9 | [
"MIT"
] | 2 | 2021-09-15T18:35:44.000Z | 2022-01-18T05:36:54.000Z | automon/integrations/slack/config.py | TheShellLand/automonisaur | b5f304a44449b8664c93d8a8a3c3cf2d73aa0ce9 | [
"MIT"
] | 16 | 2021-08-29T22:51:53.000Z | 2022-03-09T16:08:19.000Z | automon/integrations/slack/config.py | TheShellLand/automonisaur | b5f304a44449b8664c93d8a8a3c3cf2d73aa0ce9 | [
"MIT"
] | null | null | null | import os
from automon.log import Logging
log = Logging(name=__name__, level=Logging.ERROR)
| 35.407407 | 70 | 0.707113 |
652a2bec3a1bbb15dcd3f0465f2e3a5760856d24 | 182 | py | Python | z2z_metadata/__init__.py | Mitchellpkt/z2z-metadata | 261a694225efc21d65a9f3be69a9017bbc29864e | [
"MIT"
] | null | null | null | z2z_metadata/__init__.py | Mitchellpkt/z2z-metadata | 261a694225efc21d65a9f3be69a9017bbc29864e | [
"MIT"
] | null | null | null | z2z_metadata/__init__.py | Mitchellpkt/z2z-metadata | 261a694225efc21d65a9f3be69a9017bbc29864e | [
"MIT"
] | null | null | null | """Top-level package for z2z Metadata analysis."""
__author__ = """Isthmus // Mitchell P. Krawiec-Thayer"""
__email__ = 'project_z2z_metadata@mitchellpkt.com'
__version__ = '0.0.1'
| 30.333333 | 56 | 0.730769 |
652bea27b54e41523374e9b0f3eb5a5744c81344 | 81 | py | Python | pyeparse/tests/__init__.py | Eric89GXL/pyeparse | c1907c39276aacb0fad80034d69b537b07f82786 | [
"BSD-3-Clause"
] | null | null | null | pyeparse/tests/__init__.py | Eric89GXL/pyeparse | c1907c39276aacb0fad80034d69b537b07f82786 | [
"BSD-3-Clause"
] | null | null | null | pyeparse/tests/__init__.py | Eric89GXL/pyeparse | c1907c39276aacb0fad80034d69b537b07f82786 | [
"BSD-3-Clause"
] | null | null | null | # Authors: Denis Engemann <denis.engemann@gmail.com>
#
# License: BSD (3-clause)
| 20.25 | 52 | 0.716049 |
652cc48a5f826ddc6ae73b306f5bcedc4dba7eb7 | 1,659 | py | Python | Murphi/ModularMurphi/TemplateClass.py | icsa-caps/HieraGen | 4026c1718878d2ef69dd13d3e6e10cab69174fda | [
"MIT"
] | 6 | 2020-07-07T15:45:13.000Z | 2021-08-29T06:44:29.000Z | Murphi/ModularMurphi/TemplateClass.py | icsa-caps/HieraGen | 4026c1718878d2ef69dd13d3e6e10cab69174fda | [
"MIT"
] | null | null | null | Murphi/ModularMurphi/TemplateClass.py | icsa-caps/HieraGen | 4026c1718878d2ef69dd13d3e6e10cab69174fda | [
"MIT"
] | null | null | null | import inspect
import os
import re
| 29.105263 | 120 | 0.485835 |
652d0559a2243d1e92871449e1c32a5d4ef6cbbb | 8,660 | py | Python | bot/exts/filters/token_remover.py | adhikariprajitraj/bot | 207eb16e7be7a339bb3e670ffd74283e755a73a7 | [
"MIT"
] | null | null | null | bot/exts/filters/token_remover.py | adhikariprajitraj/bot | 207eb16e7be7a339bb3e670ffd74283e755a73a7 | [
"MIT"
] | null | null | null | bot/exts/filters/token_remover.py | adhikariprajitraj/bot | 207eb16e7be7a339bb3e670ffd74283e755a73a7 | [
"MIT"
] | null | null | null | import base64
import binascii
import logging
import re
import typing as t
from discord import Colour, Message, NotFound
from discord.ext.commands import Cog
from bot import utils
from bot.bot import Bot
from bot.constants import Channels, Colours, Event, Icons
from bot.exts.moderation.modlog import ModLog
from bot.ut... | 37.008547 | 105 | 0.639145 |
652e84bd8ad0187eda337ba399fb9e1a9cdb03eb | 377 | py | Python | setup.py | PaulDodd/pynomial | 8da81bf37ee96b8e3c49b40cdfcae075ba667632 | [
"Apache-2.0"
] | null | null | null | setup.py | PaulDodd/pynomial | 8da81bf37ee96b8e3c49b40cdfcae075ba667632 | [
"Apache-2.0"
] | null | null | null | setup.py | PaulDodd/pynomial | 8da81bf37ee96b8e3c49b40cdfcae075ba667632 | [
"Apache-2.0"
] | null | null | null | import sys
from setuptools import setup, find_packages
setup(
name='pynomial',
version='0.0.0',
packages=find_packages(),
author='Paul M Dodd',
author_email='pdodd@umich.edu',
description="python package for combinatorial problems",
url="https://github.com/PaulDodd/pynomial.git",
instal... | 26.928571 | 64 | 0.70557 |
652f515638fabbdc29fa03743668cd7f3bcdf458 | 830 | py | Python | src/seedbox/migrations/versions/35099fc974d2_.py | nailgun/seedbox | d124f71017dbbe5af81592e76933809b5cdddb08 | [
"Apache-2.0"
] | 29 | 2017-03-22T23:12:56.000Z | 2021-05-29T23:40:50.000Z | src/seedbox/migrations/versions/35099fc974d2_.py | macduff23/seedbox | d124f71017dbbe5af81592e76933809b5cdddb08 | [
"Apache-2.0"
] | 27 | 2017-04-10T14:00:11.000Z | 2017-12-01T06:56:15.000Z | src/seedbox/migrations/versions/35099fc974d2_.py | macduff23/seedbox | d124f71017dbbe5af81592e76933809b5cdddb08 | [
"Apache-2.0"
] | 6 | 2017-04-10T09:17:32.000Z | 2020-01-25T02:08:21.000Z | """empty message
Revision ID: 35099fc974d2
Revises: ae00e7974dca
Create Date: 2017-05-19 17:01:48.878196
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '35099fc974d2'
down_revision = 'ae00e7974dca'
branch_labels = None
depends_on = None
| 28.62069 | 117 | 0.749398 |
6531c01cdf271608c3cf89baaec7f83d527a1013 | 658 | py | Python | searchNMin2.py | plguhur/random-sets | 8cd0d18816628909f304d839b1a7eed208dfb49f | [
"Apache-2.0"
] | null | null | null | searchNMin2.py | plguhur/random-sets | 8cd0d18816628909f304d839b1a7eed208dfb49f | [
"Apache-2.0"
] | null | null | null | searchNMin2.py | plguhur/random-sets | 8cd0d18816628909f304d839b1a7eed208dfb49f | [
"Apache-2.0"
] | null | null | null | from randomSets import *
import numpy as np
winners = [1,5,10]
candidates = range(100, 1100, 500)
Nmin = np.zeros((len(winners),len(candidates)))
for i in range(len(winners)):
for j in range(len(candidates)):
print("Nwinner: %i, Ncandidates: %i" % (winners[i], candidates[j]))
#alpha = findMinAlpha(... | 41.125 | 130 | 0.647416 |
6532631e7c9cbad3268bcb207c447017749491f6 | 894 | py | Python | drs4Calibration/drs4Calibration_version_0/config.py | fact-project/DrsTemperatureCalibration | 3702ee390c16cf2c5930d4a0f24c1354d036d645 | [
"MIT"
] | null | null | null | drs4Calibration/drs4Calibration_version_0/config.py | fact-project/DrsTemperatureCalibration | 3702ee390c16cf2c5930d4a0f24c1354d036d645 | [
"MIT"
] | null | null | null | drs4Calibration/drs4Calibration_version_0/config.py | fact-project/DrsTemperatureCalibration | 3702ee390c16cf2c5930d4a0f24c1354d036d645 | [
"MIT"
] | null | null | null | from drs4Calibration.drs4Calibration_version_0.constants import NRCELL, ROI
# Dont shuffle drsValueTypes
# The order have to be the same as the of the 'RUNIDs'
# in the drsFiles
drsValueTypes = ['Baseline',
'Gain',
'TriggerOffset']
renamedDrsValueTypes = ['Baseline',
... | 31.928571 | 75 | 0.589485 |
6532a25e13d94b833b61abb8bf5f04bc39b60efe | 91 | py | Python | bai03.py | trietto/python | b89b990fc509228445157465f6af3371c4b4d159 | [
"Apache-2.0"
] | null | null | null | bai03.py | trietto/python | b89b990fc509228445157465f6af3371c4b4d159 | [
"Apache-2.0"
] | null | null | null | bai03.py | trietto/python | b89b990fc509228445157465f6af3371c4b4d159 | [
"Apache-2.0"
] | null | null | null | n=int(input("Nhap vao mot so:"))
d=dict()
for i in range(1, n+1):
d[i]=i*i
print(d) | 18.2 | 32 | 0.549451 |
653326363f171f61656c55ab1ac0a5e07a6afbd8 | 18,085 | pyw | Python | quizme.pyw | dmahugh/quizme | edd5340db4524855c7e0dea0340339dafb10a78a | [
"MIT"
] | null | null | null | quizme.pyw | dmahugh/quizme | edd5340db4524855c7e0dea0340339dafb10a78a | [
"MIT"
] | null | null | null | quizme.pyw | dmahugh/quizme | edd5340db4524855c7e0dea0340339dafb10a78a | [
"MIT"
] | null | null | null | """GUI for taking tests based on quizme-xxx.json files.
"""
import os
import sys
import json
from random import randint
import tkinter as tk
from tkinter import font
from tkinter import ttk
from tkinter import filedialog
from tkinter import messagebox
from widgetrefs import widgets
def center_window(window):
"""... | 38.397028 | 80 | 0.648825 |
6533cb2d911f06e68a721247deb37def17dac93b | 5,448 | py | Python | kedro/extras/datasets/pandas/appendable_excel_dataset.py | hfwittmann/kedro | b0d4fcd8f19b49a7916d78fd09daeb6209a7b6c6 | [
"Apache-2.0"
] | 1 | 2021-11-25T12:33:13.000Z | 2021-11-25T12:33:13.000Z | kedro/extras/datasets/pandas/appendable_excel_dataset.py | MerelTheisenQB/kedro | 1eaa2e0fa5d80f96e18ea60b9f3d6e6efc161827 | [
"Apache-2.0"
] | null | null | null | kedro/extras/datasets/pandas/appendable_excel_dataset.py | MerelTheisenQB/kedro | 1eaa2e0fa5d80f96e18ea60b9f3d6e6efc161827 | [
"Apache-2.0"
] | null | null | null | """``AppendableExcelDataSet`` loads/saves data from/to a local Excel file opened in append mode.
It uses pandas to handle the Excel file.
"""
from copy import deepcopy
from pathlib import Path, PurePosixPath
from typing import Any, Dict
import pandas as pd
from kedro.io.core import AbstractDataSet, DataSetError
| 39.766423 | 101 | 0.612518 |
6534588d4ecf52898349353cb160282e5abd6d54 | 3,360 | py | Python | graalpython/benchmarks/src/meso/euler31.py | muellren/graalpython | 9104425805f1d38ad7a521c75e53798a3b79b4f0 | [
"UPL-1.0",
"Apache-2.0",
"OpenSSL"
] | 1 | 2019-05-28T13:04:32.000Z | 2019-05-28T13:04:32.000Z | graalpython/benchmarks/src/meso/euler31.py | muellren/graalpython | 9104425805f1d38ad7a521c75e53798a3b79b4f0 | [
"UPL-1.0",
"Apache-2.0",
"OpenSSL"
] | null | null | null | graalpython/benchmarks/src/meso/euler31.py | muellren/graalpython | 9104425805f1d38ad7a521c75e53798a3b79b4f0 | [
"UPL-1.0",
"Apache-2.0",
"OpenSSL"
] | null | null | null | #!/usr/bin/env python
# Copyright 2008-2010 Isaac Gouy
# Copyright (c) 2013, 2014, Regents of the University of California
# Copyright (c) 2017, 2018, Oracle and/or its affiliates.
# All rights reserved.
#
# Revised BSD license
#
# This is a specific instance of the Open Source Initiative (OSI) BSD license
# template h... | 34.639175 | 115 | 0.698214 |
65349ddf8e79064277992fac5e85fa136f547f1d | 3,150 | py | Python | comicMaker/readComicsOnlineRu.py | Gunjan933/comicMaker | 9e10f8bc7d1b9c9ad6af271ca7a01fb03b26c6ee | [
"MIT"
] | 3 | 2019-09-03T14:27:28.000Z | 2021-03-04T04:23:38.000Z | comicMaker/readComicsOnlineRu.py | Gunjan933/comicMaker | 9e10f8bc7d1b9c9ad6af271ca7a01fb03b26c6ee | [
"MIT"
] | null | null | null | comicMaker/readComicsOnlineRu.py | Gunjan933/comicMaker | 9e10f8bc7d1b9c9ad6af271ca7a01fb03b26c6ee | [
"MIT"
] | 2 | 2019-06-18T04:21:28.000Z | 2021-08-17T18:24:20.000Z | from .makeFullPdf import makeFullPdf
from .parseImage import parseImage
from .makePdf import makePdf
import requests,os,os.path,sys,time,json
from bs4 import BeautifulSoup | 30.288462 | 99 | 0.668889 |
65351167928ce81c735f063228eadca0eb91e2b5 | 828 | py | Python | geoipgen/generate.py | christivn/INDES-devices-scan-engine | 5229ac68f0b075ffaba7641e5c8fb634d42d4915 | [
"MIT"
] | 2 | 2020-09-11T11:30:49.000Z | 2021-07-01T22:06:25.000Z | geoipgen/generate.py | christivn/INDES-devices-scan-engine | 5229ac68f0b075ffaba7641e5c8fb634d42d4915 | [
"MIT"
] | null | null | null | geoipgen/generate.py | christivn/INDES-devices-scan-engine | 5229ac68f0b075ffaba7641e5c8fb634d42d4915 | [
"MIT"
] | null | null | null | from . import subnetCal
from . import functions
from random import randint
| 23.657143 | 66 | 0.629227 |
6536be01b7eb4b8a845b975aa35e3be000f854f3 | 1,182 | py | Python | lib/googlecloudsdk/command_lib/filestore/operations/flags.py | bshaffer/google-cloud-sdk | f587382fd112f238c0d6d5ca3dab8f52d2b5c5f9 | [
"Apache-2.0"
] | null | null | null | lib/googlecloudsdk/command_lib/filestore/operations/flags.py | bshaffer/google-cloud-sdk | f587382fd112f238c0d6d5ca3dab8f52d2b5c5f9 | [
"Apache-2.0"
] | null | null | null | lib/googlecloudsdk/command_lib/filestore/operations/flags.py | bshaffer/google-cloud-sdk | f587382fd112f238c0d6d5ca3dab8f52d2b5c5f9 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*- #
# Copyright 2017 Google 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... | 40.758621 | 141 | 0.716582 |
65373505df666d8a906bfd1acd7f0539541bd3a0 | 940 | py | Python | model_agreement.py | ntunlp/coherence-paradigm | 7219fe5b57f5a44e780ca8ba5632194a68e07528 | [
"MIT"
] | null | null | null | model_agreement.py | ntunlp/coherence-paradigm | 7219fe5b57f5a44e780ca8ba5632194a68e07528 | [
"MIT"
] | null | null | null | model_agreement.py | ntunlp/coherence-paradigm | 7219fe5b57f5a44e780ca8ba5632194a68e07528 | [
"MIT"
] | null | null | null | import sys
import pickle
from krips_alpha import krippendorff_alpha, nominal_metric
annotations = pickle.load(open(sys.argv[1], 'rb'))
#print(len(annotations[0]))
alpha = krippendorff_alpha(annotations, nominal_metric)
#print(alpha)
model_output = pickle.load(open(sys.argv[2], 'rb'))
print(len(model_output))
model... | 24.102564 | 61 | 0.71383 |
65380b922221efe3ab83a1ce124526460a9adeeb | 10,392 | py | Python | lewansoul-lx16a/lewansoul_lx16a.py | christophschnabl/lewansoul-lx16a | fc92dc3470bc12353576bae00f6bc0873c753a7a | [
"MIT"
] | 2 | 2019-10-22T10:37:56.000Z | 2020-01-19T20:43:45.000Z | lewansoul-lx16a/lewansoul_lx16a.py | christophschnabl/lewansoul-lx16a | fc92dc3470bc12353576bae00f6bc0873c753a7a | [
"MIT"
] | null | null | null | lewansoul-lx16a/lewansoul_lx16a.py | christophschnabl/lewansoul-lx16a | fc92dc3470bc12353576bae00f6bc0873c753a7a | [
"MIT"
] | 1 | 2022-01-05T08:20:38.000Z | 2022-01-05T08:20:38.000Z | __all__ = [
'ServoController',
'TimeoutError',
'SERVO_ERROR_OVER_TEMPERATURE',
'SERVO_ERROR_OVER_VOLTAGE',
'SERVO_ERROR_LOCKED_ROTOR',
]
from serial.serialutil import *
from functools import partial
import threading
import logging
SERVO_ID_ALL = 0xfe
SERVO_MOVE_TIME_WRITE = 1
SERVO_MOVE_TIME_R... | 32.373832 | 84 | 0.647998 |
653ce627115bca9b0a99c6fcb8f87bd198d5309b | 1,223 | py | Python | Basic Data Structures/string/leet_551_StudentAttendanceRecordI.py | rush2catch/algorithms-leetcode | 38a5e6aa33d48fa14fe09c50c28a2eaabd736e55 | [
"MIT"
] | null | null | null | Basic Data Structures/string/leet_551_StudentAttendanceRecordI.py | rush2catch/algorithms-leetcode | 38a5e6aa33d48fa14fe09c50c28a2eaabd736e55 | [
"MIT"
] | null | null | null | Basic Data Structures/string/leet_551_StudentAttendanceRecordI.py | rush2catch/algorithms-leetcode | 38a5e6aa33d48fa14fe09c50c28a2eaabd736e55 | [
"MIT"
] | null | null | null | # Problem: Student Attendance Record I
# Difficulty: Easy
# Category: String
# Leetcode 551: https://leetcode.com/problems/student-attendance-record-i/#/description
# Description:
"""
You are given a string representing an attendance record for a student.
The record only contains the following three characters:
'A' : ... | 23.519231 | 92 | 0.681112 |
653d695cd3021eadcb097d2dd9fa97ca942ec702 | 10,454 | py | Python | etc/check-python.py | maxzheng/auto-update | 7d9afa139f890ff9a6bbeb01549a311bdb5168d0 | [
"MIT"
] | 7 | 2018-08-22T21:03:54.000Z | 2022-02-04T20:31:20.000Z | etc/check-python.py | maxzheng/auto-update | 7d9afa139f890ff9a6bbeb01549a311bdb5168d0 | [
"MIT"
] | null | null | null | etc/check-python.py | maxzheng/auto-update | 7d9afa139f890ff9a6bbeb01549a311bdb5168d0 | [
"MIT"
] | 2 | 2019-04-24T20:49:01.000Z | 2019-10-30T17:45:19.000Z | #!/usr/bin/env python
import argparse
import os
import platform
import re
import shutil
import subprocess
import sys
SUPPORTED_VERSIONS = ('3.6', '3.7')
IS_DEBIAN = platform.system() == 'Linux' and os.path.exists('/etc/debian_version')
IS_OLD_UBUNTU = (IS_DEBIAN and os.path.exists('/etc/lsb-release')
... | 34.730897 | 117 | 0.583604 |
653e20753803cf3d8c774a1a90f5c5407a146bd4 | 3,463 | py | Python | pnet/measure.py | changshuowang/PersistenceNetwork | 519aa3b4a123091ae6cc3cf619182b5be54fcac3 | [
"ISC"
] | 1 | 2020-01-20T06:44:14.000Z | 2020-01-20T06:44:14.000Z | pnet/measure.py | changshuowang/PersistenceNetwork | 519aa3b4a123091ae6cc3cf619182b5be54fcac3 | [
"ISC"
] | null | null | null | pnet/measure.py | changshuowang/PersistenceNetwork | 519aa3b4a123091ae6cc3cf619182b5be54fcac3 | [
"ISC"
] | null | null | null | import numpy as np
from sklearn.metrics import average_precision_score as ap
from sklearn.metrics import roc_auc_score
"""
each row is an instance
each column is the prediction of a class
"""
# For clip evaluation
def auc_y_classwise(Y_target, Y_score):
"""
Y_target: list of lists. {0, 1}
real labels... | 24.913669 | 74 | 0.636442 |
653e59fcbdd6ab10a8f9cfbeb5d59f5f53315a37 | 6,114 | py | Python | src/trainer/transformations.py | tiborkubik/Robust-Teeth-Detection-in-3D-Dental-Scans-by-Automated-Multi-View-Landmarking | c7d9fa29b3b94ea786da5f4ec11a11520c1b882a | [
"MIT"
] | 2 | 2022-02-20T23:45:47.000Z | 2022-03-14T07:36:53.000Z | src/trainer/transformations.py | tiborkubik/Robust-Teeth-Detection-in-3D-Dental-Scans-by-Automated-Multi-View-Landmarking | c7d9fa29b3b94ea786da5f4ec11a11520c1b882a | [
"MIT"
] | null | null | null | src/trainer/transformations.py | tiborkubik/Robust-Teeth-Detection-in-3D-Dental-Scans-by-Automated-Multi-View-Landmarking | c7d9fa29b3b94ea786da5f4ec11a11520c1b882a | [
"MIT"
] | null | null | null | """
:filename transformations.py
:author Tibor Kubik
:email xkubik34@stud.fit.vutbr.cz
from
Classes of custom transformations that are applied during the training as additional augmentation of the depth maps.
"""
import torch
import random
import numpy as np
import torch.nn.functional as F
from random... | 31.678756 | 129 | 0.596663 |
653f571cf7026f415159e6338a4dc99110c41d1a | 5,691 | py | Python | cappuccino.py | y-tsutsu/cappuccino | 11212565c064a8e65f5858d2ea457b5cd0389799 | [
"MIT"
] | 1 | 2017-08-15T11:47:37.000Z | 2017-08-15T11:47:37.000Z | cappuccino.py | y-tsutsu/cappuccino | 11212565c064a8e65f5858d2ea457b5cd0389799 | [
"MIT"
] | 1 | 2021-06-02T10:32:27.000Z | 2021-06-02T10:32:27.000Z | cappuccino.py | y-tsutsu/cappuccino | 11212565c064a8e65f5858d2ea457b5cd0389799 | [
"MIT"
] | null | null | null | import random
import shutil
import sys
from argparse import ArgumentParser
from os import path
from pathlib import Path
from threading import Thread
from PySide6 import __version__ as PySideVer
from PySide6.QtCore import (Property, QCoreApplication, QObject, Qt, QTimer,
Signal, Slot)
from P... | 29.795812 | 102 | 0.692497 |
654050d7cccb1b2c34b6283890ccaab142889563 | 48,459 | py | Python | lofti_gaia/lofti.py | logan-pearce/lofti_gaia | b88940553669a134a461bb052843afa0dad4d71f | [
"BSD-3-Clause"
] | 2 | 2020-05-06T07:39:56.000Z | 2020-07-23T16:39:55.000Z | lofti_gaia/lofti.py | logan-pearce/lofti_gaia | b88940553669a134a461bb052843afa0dad4d71f | [
"BSD-3-Clause"
] | null | null | null | lofti_gaia/lofti.py | logan-pearce/lofti_gaia | b88940553669a134a461bb052843afa0dad4d71f | [
"BSD-3-Clause"
] | 2 | 2020-07-25T15:43:52.000Z | 2021-05-18T20:20:55.000Z | import astropy.units as u
import numpy as np
from lofti_gaia.loftitools import *
from lofti_gaia.cFunctions import calcOFTI_C
#from loftitools import *
import pickle
import time
import matplotlib.pyplot as plt
# Astroquery throws some warnings we can ignore:
import warnings
warnings.filterwarnings("ignore")
'''This mo... | 49.650615 | 170 | 0.585278 |
65411b851445a48f4001d24e9d3426293a327569 | 243 | py | Python | src/data_curation/dataset_manager/views.py | NovaSBE-DSKC/retention-evaluation | 5b68b9282f0b5479a9dc5238faef68067c76b861 | [
"MIT"
] | null | null | null | src/data_curation/dataset_manager/views.py | NovaSBE-DSKC/retention-evaluation | 5b68b9282f0b5479a9dc5238faef68067c76b861 | [
"MIT"
] | null | null | null | src/data_curation/dataset_manager/views.py | NovaSBE-DSKC/retention-evaluation | 5b68b9282f0b5479a9dc5238faef68067c76b861 | [
"MIT"
] | null | null | null | from src.data_curation.dataset_manager import get_meta
import pandas as pd
| 17.357143 | 54 | 0.654321 |
6541203743362ff0dff952a51d471197ab93e9cb | 109 | py | Python | deid/model/layers/__init__.py | KavishBhatia/deid-training-data | 9d586cd7f52d929b2571028365587d3f96e44caa | [
"MIT"
] | 15 | 2018-10-28T13:57:55.000Z | 2022-01-03T07:25:04.000Z | deid/model/layers/__init__.py | KavishBhatia/deid-training-data | 9d586cd7f52d929b2571028365587d3f96e44caa | [
"MIT"
] | 7 | 2019-04-29T13:55:52.000Z | 2021-12-13T19:51:30.000Z | deid/model/layers/__init__.py | KavishBhatia/deid-training-data | 9d586cd7f52d929b2571028365587d3f96e44caa | [
"MIT"
] | 3 | 2019-08-01T19:02:37.000Z | 2021-01-08T09:12:25.000Z | from .gradient_reversal import GradientReversal
from .noise import Noise, AdditiveNoise, MultiplicativeNoise
| 36.333333 | 60 | 0.87156 |
654539319f4d10a8899c207b7e590fdb33eef877 | 2,344 | py | Python | db_pool/mysql/base.py | GiftLee/devops | 1d63ee32c3e9519131bf5f6f2cda19675a1ca833 | [
"MIT"
] | 300 | 2019-07-30T03:01:29.000Z | 2022-03-14T05:51:41.000Z | db_pool/mysql/base.py | nice555/devops | fe09e6a3165d92dcd2dc67a0df3c2e47c6accc41 | [
"MIT"
] | 27 | 2019-11-04T08:41:52.000Z | 2021-09-27T07:51:41.000Z | db_pool/mysql/base.py | nice555/devops | fe09e6a3165d92dcd2dc67a0df3c2e47c6accc41 | [
"MIT"
] | 124 | 2019-08-21T03:32:15.000Z | 2022-03-14T05:51:43.000Z | # -*- coding: utf-8 -*-
"""
django.db.backends.mysql.base.by django mysql
django
CONN_MAX_AGE CONN_MAX_AGE
close too many connections
mysql
"""
from django.core.exceptions import ImproperlyConfigured
import queue
import threading
try:
import MySQLdb as Database
except ImportError as err:
raise Impr... | 32.109589 | 95 | 0.677901 |
6546238c5cc99f6434344bc2dc8680356df8f817 | 34,758 | py | Python | flowsa/flowbyfunctions.py | modelearth/flowsa | d4dcf5ef8764b4ef895080a54d0546668daf0e1a | [
"CC0-1.0"
] | 13 | 2020-04-10T20:43:00.000Z | 2022-02-12T09:00:56.000Z | flowsa/flowbyfunctions.py | modelearth/flowsa | d4dcf5ef8764b4ef895080a54d0546668daf0e1a | [
"CC0-1.0"
] | 93 | 2020-03-05T14:22:42.000Z | 2022-03-30T20:33:06.000Z | flowsa/flowbyfunctions.py | modelearth/flowsa | d4dcf5ef8764b4ef895080a54d0546668daf0e1a | [
"CC0-1.0"
] | 16 | 2020-05-03T13:54:59.000Z | 2022-01-06T16:42:53.000Z | # flowbyfunctions.py (flowsa)
# !/usr/bin/env python3
# coding=utf-8
"""
Helper functions for flowbyactivity and flowbysector data
"""
import pandas as pd
import numpy as np
from esupy.dqi import get_weighted_average
import flowsa
from flowsa.common import fbs_activity_fields, US_FIPS, get_state_FIPS, \
get_county... | 46.97027 | 100 | 0.638328 |
6547bff0921c0fa8bf1ae4180062d6c76818b672 | 3,553 | py | Python | stochastic_hill_climbing/src/AdalineSGD.py | Wookhwang/Machine-Learning | 8eaf8517057d4beb3272081cb2f2092687123f3d | [
"Apache-2.0"
] | null | null | null | stochastic_hill_climbing/src/AdalineSGD.py | Wookhwang/Machine-Learning | 8eaf8517057d4beb3272081cb2f2092687123f3d | [
"Apache-2.0"
] | 1 | 2020-01-19T10:14:41.000Z | 2020-01-19T10:14:41.000Z | stochastic_hill_climbing/src/AdalineSGD.py | Wookhwang/Machine-Learning | 8eaf8517057d4beb3272081cb2f2092687123f3d | [
"Apache-2.0"
] | null | null | null | import numpy as np
# gradient descent tensorflow .
# .
| 30.110169 | 77 | 0.509992 |
65489ab1059af5d3af74f3912af4a5da4c39124a | 383 | py | Python | las1.2.py | Theskill19/sweetpotato | 7cb46c412f400bcd51838db365038a766cf593cd | [
"CC0-1.0"
] | null | null | null | las1.2.py | Theskill19/sweetpotato | 7cb46c412f400bcd51838db365038a766cf593cd | [
"CC0-1.0"
] | null | null | null | las1.2.py | Theskill19/sweetpotato | 7cb46c412f400bcd51838db365038a766cf593cd | [
"CC0-1.0"
] | null | null | null | #2. .
# , ::.
# .
time = int(input(" "))
hours = time // 3600
minutes = (time - hours * 3600) // 60
seconds = time - (hours * 3600 + minutes * 60)
print(f" :: {hours} : {minutes} : {seconds}") | 42.555556 | 75 | 0.681462 |
654ad9f66cc00d76dc7800cff09e9d14c95e20e3 | 2,259 | py | Python | tpdatasrc/tpgamefiles/rules/char_class/class020_archmage.py | edoipi/TemplePlus | f0e552289822fea908f16daa379fa568b1bd286d | [
"MIT"
] | null | null | null | tpdatasrc/tpgamefiles/rules/char_class/class020_archmage.py | edoipi/TemplePlus | f0e552289822fea908f16daa379fa568b1bd286d | [
"MIT"
] | null | null | null | tpdatasrc/tpgamefiles/rules/char_class/class020_archmage.py | edoipi/TemplePlus | f0e552289822fea908f16daa379fa568b1bd286d | [
"MIT"
] | null | null | null | from toee import *
import char_class_utils
###################################################
classEnum = stat_level_archmage
###################################################
class_feats = {
}
class_skills = (skill_alchemy, skill_concentration, skill_craft, skill_knowledge_all, skill_profession, skill_search,... | 20.916667 | 135 | 0.736609 |
654b5be42b94507090bb99be14ad14d6bad404c8 | 427 | py | Python | src/bananas/drf/errors.py | beshrkayali/django-bananas | 8e832ca91287c5b3eed5af8de948c67fd026c4b9 | [
"MIT"
] | 26 | 2015-04-07T12:18:26.000Z | 2021-07-23T18:05:52.000Z | src/bananas/drf/errors.py | beshrkayali/django-bananas | 8e832ca91287c5b3eed5af8de948c67fd026c4b9 | [
"MIT"
] | 55 | 2016-10-25T08:13:50.000Z | 2022-03-04T12:53:24.000Z | src/bananas/drf/errors.py | beshrkayali/django-bananas | 8e832ca91287c5b3eed5af8de948c67fd026c4b9 | [
"MIT"
] | 16 | 2015-10-13T10:11:59.000Z | 2021-11-11T12:30:32.000Z | from rest_framework import status
from rest_framework.exceptions import APIException
| 28.466667 | 53 | 0.800937 |
654c820b6644777c47304297e45e886b1326f0ee | 11,749 | py | Python | tools/train_net.py | luzhenyv/sesame | 5cef18c45192f7886b1c3c0096327e0095663adc | [
"Apache-2.0"
] | null | null | null | tools/train_net.py | luzhenyv/sesame | 5cef18c45192f7886b1c3c0096327e0095663adc | [
"Apache-2.0"
] | null | null | null | tools/train_net.py | luzhenyv/sesame | 5cef18c45192f7886b1c3c0096327e0095663adc | [
"Apache-2.0"
] | null | null | null | """Train a video classification"""
import torch
import sesame.models.losses as losses
import sesame.models.optimizer as optim
import sesame.utils.distributed as du
import sesame.utils.misc as misc
import sesame.utils.metrics as metrics
import sesame.utils.logger as logger
from sesame.datasets.mixup import MixUp
log ... | 35.929664 | 97 | 0.544302 |
e8da2871c87cf2076690059ef9b906d674072b5a | 846 | py | Python | setup.py | stshrive/pycense | 5bfd1b7b6b326a5592f58d621ee596c6c1d8a490 | [
"MIT"
] | null | null | null | setup.py | stshrive/pycense | 5bfd1b7b6b326a5592f58d621ee596c6c1d8a490 | [
"MIT"
] | 5 | 2018-09-15T23:40:11.000Z | 2018-10-05T22:57:13.000Z | setup.py | stshrive/pycense | 5bfd1b7b6b326a5592f58d621ee596c6c1d8a490 | [
"MIT"
] | 1 | 2018-10-04T23:43:42.000Z | 2018-10-04T23:43:42.000Z | import os
import setuptools
VERSION = "1.0.0a1+dev"
INSTALL_REQUIRES = [
'pip-licenses',
]
CLASSIFIERS = [
'Development Status :: 3 - Alpha',
'Intended Audience :: Developers',
'Intended Audience :: Science/Research'
]
setuptools.setup(
name='pycense',
version="0.1.0",
description='Pytho... | 24.171429 | 78 | 0.682033 |
e8db35ba967d9e65ca9d8b55e48764bb1fce3b61 | 101 | py | Python | parents/admin.py | joseph0919/Student_Management_Django | 085e839a86ac574f5ebe83a4911c5808841f50cd | [
"MIT"
] | null | null | null | parents/admin.py | joseph0919/Student_Management_Django | 085e839a86ac574f5ebe83a4911c5808841f50cd | [
"MIT"
] | null | null | null | parents/admin.py | joseph0919/Student_Management_Django | 085e839a86ac574f5ebe83a4911c5808841f50cd | [
"MIT"
] | null | null | null | from django.contrib import admin
from parents.models import Guardian
admin.site.register(Guardian)
| 16.833333 | 35 | 0.831683 |
e8db7b8afe28efde2a5b3d53186f27fb42108a8d | 1,912 | py | Python | src/test/tests/hybrid/missingdata.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 226 | 2018-12-29T01:13:49.000Z | 2022-03-30T19:16:31.000Z | src/test/tests/hybrid/missingdata.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 5,100 | 2019-01-14T18:19:25.000Z | 2022-03-31T23:08:36.000Z | src/test/tests/hybrid/missingdata.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 84 | 2019-01-24T17:41:50.000Z | 2022-03-10T10:01:46.000Z | # ----------------------------------------------------------------------------
# CLASSES: nightly
#
# Test Case: missingdata.py
#
# Tests: missing data
#
# Programmer: Brad Whitlock
# Date: Thu Jan 19 09:49:15 PST 2012
#
# Modifications:
#
# ------------------------------------------------------------... | 26.555556 | 78 | 0.619247 |
e8dc347e2e8914b12566e7ce88c38a00dd0fd08d | 540 | py | Python | data_input/__init__.py | uabalabadubdub/ppcd-pec4 | b9b1dfae84fd987c4e9b4ea09c0197ef746b30d7 | [
"CC0-1.0"
] | null | null | null | data_input/__init__.py | uabalabadubdub/ppcd-pec4 | b9b1dfae84fd987c4e9b4ea09c0197ef746b30d7 | [
"CC0-1.0"
] | null | null | null | data_input/__init__.py | uabalabadubdub/ppcd-pec4 | b9b1dfae84fd987c4e9b4ea09c0197ef746b30d7 | [
"CC0-1.0"
] | null | null | null | from pathlib import Path
current_path = Path(".")
datafolder = current_path / "data"
imagefolder = current_path / "images"
if not datafolder.exists():
print(f"Creating {datafolder}/...")
datafolder.mkdir()
if not imagefolder.exists():
print(f"Creating {imagefolder}/...")
imagefolder.mkdir()
print("S... | 24.545455 | 49 | 0.668519 |
e8dd9680732e2d43b71a4834c51c94a4f70393dd | 4,521 | py | Python | displacy_service_tests/test_server.py | mjfox3/spacy-api-docker | 8622ae1cc3e18835d4675432f9d286794dd380f5 | [
"MIT"
] | null | null | null | displacy_service_tests/test_server.py | mjfox3/spacy-api-docker | 8622ae1cc3e18835d4675432f9d286794dd380f5 | [
"MIT"
] | 1 | 2019-11-08T14:39:55.000Z | 2019-11-08T14:39:55.000Z | displacy_service_tests/test_server.py | mjfox3/spacy-api-docker | 8622ae1cc3e18835d4675432f9d286794dd380f5 | [
"MIT"
] | 1 | 2019-11-07T14:15:37.000Z | 2019-11-07T14:15:37.000Z | import falcon.testing
import pytest
import json
from displacy_service.server import APP, MODELS
model = MODELS[0]
| 47.09375 | 211 | 0.523114 |
e8df842f0c6982487b7ca3ace562a894cc9d1940 | 606 | py | Python | exposures/generate_passwords.py | jarnoln/exposures | bbae3f79078048d25b77e178db6c0801ffe9f97e | [
"MIT"
] | null | null | null | exposures/generate_passwords.py | jarnoln/exposures | bbae3f79078048d25b77e178db6c0801ffe9f97e | [
"MIT"
] | null | null | null | exposures/generate_passwords.py | jarnoln/exposures | bbae3f79078048d25b77e178db6c0801ffe9f97e | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import random
import argparse
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('password_file_path', help='Where password file will be placed')
args = parser.parse_args()
generate_passwords(args.password_file_path)
| 31.894737 | 88 | 0.737624 |
e8e12c70a26b28e73712420fd03691434cb4267c | 13,354 | py | Python | adversarial-transfer-nlp/CW_attack.py | AI-secure/Uncovering-the-Connections-BetweenAdversarial-Transferability-and-Knowledge-Transferability | a2fb10f56618c6d6dd1638967d59c4a83ffa1c05 | [
"CC0-1.0"
] | 8 | 2021-06-18T10:32:27.000Z | 2022-01-16T06:46:25.000Z | adversarial-transfer-nlp/CW_attack.py | AI-secure/Does-Adversairal-Transferability-Indicate-Knowledge-Transferability | a2fb10f56618c6d6dd1638967d59c4a83ffa1c05 | [
"CC0-1.0"
] | 2 | 2021-08-25T15:14:12.000Z | 2022-02-09T23:55:46.000Z | adversarial-transfer-nlp/CW_attack.py | AI-secure/Does-Adversairal-Transferability-Indicate-Knowledge-Transferability | a2fb10f56618c6d6dd1638967d59c4a83ffa1c05 | [
"CC0-1.0"
] | null | null | null | import sys
import torch
import numpy as np
from torch import optim
from util import args
| 44.962963 | 126 | 0.543582 |
e8e227fac1aeb6cb15d17a60f96b91194af13f7f | 639 | py | Python | api/cueSearch/migrations/0005_searchcardtemplate_connectiontype.py | cuebook/CueSearch | 8bf047de273b27bba41b8bf4e266aac1eee7f81a | [
"Apache-2.0"
] | 3 | 2022-02-10T17:00:19.000Z | 2022-03-29T14:31:25.000Z | api/cueSearch/migrations/0005_searchcardtemplate_connectiontype.py | cuebook/CueSearch | 8bf047de273b27bba41b8bf4e266aac1eee7f81a | [
"Apache-2.0"
] | null | null | null | api/cueSearch/migrations/0005_searchcardtemplate_connectiontype.py | cuebook/CueSearch | 8bf047de273b27bba41b8bf4e266aac1eee7f81a | [
"Apache-2.0"
] | null | null | null | # Generated by Django 3.2.5 on 2022-02-18 08:20
from django.db import migrations, models
import django.db.models.deletion
| 24.576923 | 61 | 0.57277 |
e8e29b7b8972a06149daa7c111affc519cbc1ff4 | 629 | py | Python | FormulaAccordingPrint.py | FreeBirdsCrew/Brainstorming_Codes | 9d06216cd0772ce56586acff2c240a210b94ba1f | [
"Apache-2.0"
] | 1 | 2020-12-11T10:24:08.000Z | 2020-12-11T10:24:08.000Z | FormulaAccordingPrint.py | FreeBirdsCrew/Brainstorming_Codes | 9d06216cd0772ce56586acff2c240a210b94ba1f | [
"Apache-2.0"
] | null | null | null | FormulaAccordingPrint.py | FreeBirdsCrew/Brainstorming_Codes | 9d06216cd0772ce56586acff2c240a210b94ba1f | [
"Apache-2.0"
] | null | null | null | """
Write a program that calculates and prints the value according to the given formula:
Q = Square root of [(2 * C * D)/H]
Following are the fixed values of C and H:
C is 50. H is 30.
D is the variable whose values should be input to your program in a comma-separated sequence.
Example
Let us assume the followin... | 28.590909 | 94 | 0.694754 |
e8e2e1e3ca7f9bd9067ac2608c856319f1c4cab7 | 675 | py | Python | src/django_sys_indicator/utils.py | marksweb/django-sys-indicator | 7318a7df8a6cda613a999d1129d00a181403cbaf | [
"MIT"
] | 1 | 2022-02-12T15:33:53.000Z | 2022-02-12T15:33:53.000Z | src/django_sys_indicator/utils.py | marksweb/django-sys-indicator | 7318a7df8a6cda613a999d1129d00a181403cbaf | [
"MIT"
] | null | null | null | src/django_sys_indicator/utils.py | marksweb/django-sys-indicator | 7318a7df8a6cda613a999d1129d00a181403cbaf | [
"MIT"
] | null | null | null | from __future__ import annotations
from django.template.loader import render_to_string
from .conf import settings
| 25.961538 | 69 | 0.668148 |
e8e431aaa0e0c0342df0906099d3bfe584c4dc40 | 262 | py | Python | MUNDO 1/ex023.py | athavus/Curso-em-video-Python-3 | a32be95adbccfcbe512a1ed30d3859141a230b5e | [
"MIT"
] | 1 | 2020-11-12T14:03:32.000Z | 2020-11-12T14:03:32.000Z | MUNDO 1/ex023.py | athavus/Curso-em-video-Python-3 | a32be95adbccfcbe512a1ed30d3859141a230b5e | [
"MIT"
] | null | null | null | MUNDO 1/ex023.py | athavus/Curso-em-video-Python-3 | a32be95adbccfcbe512a1ed30d3859141a230b5e | [
"MIT"
] | 1 | 2021-01-05T22:18:46.000Z | 2021-01-05T22:18:46.000Z | n1 = int(input('Digite um nmero entre 0 e 9999: '))
u = n1 // 1 % 10
d = n1 // 10 % 10
c = n1 // 100 % 10
m = n1 // 1000 % 10
print(f'Analisando o nmero {n1}')
print(f'unidade: {u}')
print(f'dezena: {d}')
print(f'centena: {c}')
print(f'milhar: {m}')
| 23.818182 | 53 | 0.549618 |
e8e44f8a42a8c9211af1456c9b87394460144341 | 3,366 | py | Python | openapi_server/controllers/instance_metadata_controller.py | eugenegesdisc/gmuedr | e8b3e5c7b8d18421d875f0f6f778a37a6d8ec3fd | [
"MIT"
] | null | null | null | openapi_server/controllers/instance_metadata_controller.py | eugenegesdisc/gmuedr | e8b3e5c7b8d18421d875f0f6f778a37a6d8ec3fd | [
"MIT"
] | null | null | null | openapi_server/controllers/instance_metadata_controller.py | eugenegesdisc/gmuedr | e8b3e5c7b8d18421d875f0f6f778a37a6d8ec3fd | [
"MIT"
] | null | null | null | from typing import List, Dict
from aiohttp import web
from openapi_server.models.edr_feature_collection_geo_json import EdrFeatureCollectionGeoJSON
from openapi_server.models.exception import Exception
from openapi_server.models.one_ofobjectobject import OneOfobjectobject
from openapi_server import util
| 116.068966 | 1,557 | 0.778372 |
e8e693322ca4748ac11e7ad6f26ec9749c3ce95e | 904 | py | Python | Python Notebook/Python files/data_utility.py | wilfy9249/Capstone-Fall-18 | 832632eb00a10240e0ad16c364449d5020814c83 | [
"MIT"
] | 2 | 2018-10-24T21:32:17.000Z | 2019-02-19T21:15:29.000Z | Python Notebook/Python files/data_utility.py | wilfy9249/Capstone-Fall-18 | 832632eb00a10240e0ad16c364449d5020814c83 | [
"MIT"
] | null | null | null | Python Notebook/Python files/data_utility.py | wilfy9249/Capstone-Fall-18 | 832632eb00a10240e0ad16c364449d5020814c83 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import numpy as np
import pandas as pd
import os
# In[2]:
#function to get current directory
# In[3]:
#function to read csv file
# In[4]:
#function to filter Data
# In[5]:
#function to get count of a value
# In[7]:
#function to sort
# In[ ]:
... | 14.580645 | 85 | 0.692478 |
e8e88d99dce51ba1201b6f79edf2263f1faa8d1a | 125 | py | Python | microtbs_rl/algorithms/common/__init__.py | alex-petrenko/simple-reinforcement-learning | d0da1d9026d1f05e2552d08e56fbe58ad869fafd | [
"MIT"
] | 8 | 2018-03-05T05:13:39.000Z | 2021-02-27T03:12:05.000Z | microtbs_rl/algorithms/common/__init__.py | alex-petrenko/simple-reinforcement-learning | d0da1d9026d1f05e2552d08e56fbe58ad869fafd | [
"MIT"
] | null | null | null | microtbs_rl/algorithms/common/__init__.py | alex-petrenko/simple-reinforcement-learning | d0da1d9026d1f05e2552d08e56fbe58ad869fafd | [
"MIT"
] | 4 | 2018-09-04T04:44:26.000Z | 2021-07-22T06:34:51.000Z | from microtbs_rl.algorithms.common.agent import AgentLearner
from microtbs_rl.algorithms.common.loops import run_policy_loop
| 41.666667 | 63 | 0.888 |
e8e961a8029a5dbe75bc908fc0b55465398ece35 | 806 | py | Python | retrieve/GetTotalEarnings.py | TRiCAM-Lab/task-effort | 69d072470359a20dfb3eb5df84bf1331a48e59f2 | [
"MIT"
] | null | null | null | retrieve/GetTotalEarnings.py | TRiCAM-Lab/task-effort | 69d072470359a20dfb3eb5df84bf1331a48e59f2 | [
"MIT"
] | 1 | 2022-03-25T19:16:43.000Z | 2022-03-25T19:16:43.000Z | retrieve/GetTotalEarnings.py | TRiCAM-Lab/task-effort | 69d072470359a20dfb3eb5df84bf1331a48e59f2 | [
"MIT"
] | null | null | null |
import sys
from collections.abc import Mapping
import firebase_admin
from firebase_admin import credentials
from firebase_admin import firestore
# Use a service account
cred = credentials.Certificate('./service-account-key.json')
firebase_admin.initialize_app(cred)
db = firestore.client()
for row in sys.stdin:
... | 24.424242 | 70 | 0.636476 |
e8eaacdbf20c0fc2ed919b5008d2aa81872089dc | 192 | py | Python | pyGAE/handlers/ManageSubscriptionHandler.py | analyticstraining/pycocms | 29d7c3eea9377495bcafd8b8c62016c21c1a74a7 | [
"MIT"
] | null | null | null | pyGAE/handlers/ManageSubscriptionHandler.py | analyticstraining/pycocms | 29d7c3eea9377495bcafd8b8c62016c21c1a74a7 | [
"MIT"
] | null | null | null | pyGAE/handlers/ManageSubscriptionHandler.py | analyticstraining/pycocms | 29d7c3eea9377495bcafd8b8c62016c21c1a74a7 | [
"MIT"
] | null | null | null | from BaseHandler import BaseHandler, user_required | 32 | 56 | 0.786458 |
e8ec71dfe68f78e0bbd64c46510e470c4242fa2e | 1,228 | py | Python | aiphysim/models/spacetime.py | perovai/deepkoopman | eb6de915f5ea1f20b47cb3a22a384f55c30f0558 | [
"MIT"
] | null | null | null | aiphysim/models/spacetime.py | perovai/deepkoopman | eb6de915f5ea1f20b47cb3a22a384f55c30f0558 | [
"MIT"
] | 10 | 2021-07-07T09:24:33.000Z | 2021-09-27T14:32:59.000Z | aiphysim/models/spacetime.py | perovai/deepkoopman | eb6de915f5ea1f20b47cb3a22a384f55c30f0558 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
| 34.111111 | 98 | 0.666124 |
e8ed02dac89d480ead9705b1ad919290dfc731c8 | 934 | py | Python | fabfile/text.py | nprapps/austin | 45237e878260678bbeb57801e798b89e67ad4e0b | [
"MIT"
] | 7 | 2015-01-26T16:02:49.000Z | 2015-04-01T12:37:52.000Z | fabfile/text.py | nprapps/austin | 45237e878260678bbeb57801e798b89e67ad4e0b | [
"MIT"
] | 272 | 2015-01-26T16:37:22.000Z | 2016-04-04T17:08:55.000Z | fabfile/text.py | nprapps/austin | 45237e878260678bbeb57801e798b89e67ad4e0b | [
"MIT"
] | 4 | 2015-03-05T00:38:17.000Z | 2021-02-23T10:26:28.000Z | #!/usr/bin/env python
"""
Commands related to syncing copytext from Google Docs.
"""
from fabric.api import task
from termcolor import colored
import app_config
from etc.gdocs import GoogleDoc
| 24.578947 | 175 | 0.586724 |
e8ed68a76b6810bfc7416102a15fd740faaea0ec | 4,699 | py | Python | program.py | jaesik817/programmable-agents_tensorflow | b64d1774803c585e87aa9769beadde31e18f8ea4 | [
"MIT"
] | 39 | 2017-09-25T02:01:18.000Z | 2019-06-18T15:17:53.000Z | program.py | jsikyoon/programmable-agents_tensorflow | b64d1774803c585e87aa9769beadde31e18f8ea4 | [
"MIT"
] | 5 | 2017-09-22T00:40:09.000Z | 2018-05-07T15:11:11.000Z | program.py | jsikyoon/programmable-agents_tensorflow | b64d1774803c585e87aa9769beadde31e18f8ea4 | [
"MIT"
] | 10 | 2017-09-25T06:49:12.000Z | 2019-06-18T10:17:03.000Z | import tensorflow as tf
import numpy as np
import math
# Parameter
order_num=2;
| 53.397727 | 262 | 0.668227 |
e8eead32e4d9ed6fcdbc15a39026a6dc60b3a888 | 3,161 | py | Python | ism_pkg/tools/opt_gaussian.py | endsley/stochastic_ISM | 6438eb17bd391e8698e989156acb9b786c8f7299 | [
"MIT"
] | 1 | 2021-11-04T06:30:22.000Z | 2021-11-04T06:30:22.000Z | ism_pkg/tools/opt_gaussian.py | endsley/stochastic_ISM | 6438eb17bd391e8698e989156acb9b786c8f7299 | [
"MIT"
] | null | null | null | ism_pkg/tools/opt_gaussian.py | endsley/stochastic_ISM | 6438eb17bd391e8698e989156acb9b786c8f7299 | [
"MIT"
] | 2 | 2021-11-04T06:30:24.000Z | 2022-02-07T02:04:14.000Z | #!/usr/bin/env python
import sys
import matplotlib
import numpy as np
import random
import itertools
import socket
import sklearn.metrics
from scipy.optimize import minimize
from scipy.optimize import Bounds
from sklearn import preprocessing
from sklearn.preprocessing import OneHotEncoder
from sklearn.utils.random im... | 25.288 | 127 | 0.660234 |
e8eedc51b24c6143d7853efa95a31479c5ffbbd9 | 2,645 | py | Python | tests/commands/test_generate.py | pedrovelho/camp | 98105c9054b8db3377cb6a06e7b5451b97c6c285 | [
"MIT"
] | null | null | null | tests/commands/test_generate.py | pedrovelho/camp | 98105c9054b8db3377cb6a06e7b5451b97c6c285 | [
"MIT"
] | null | null | null | tests/commands/test_generate.py | pedrovelho/camp | 98105c9054b8db3377cb6a06e7b5451b97c6c285 | [
"MIT"
] | 1 | 2019-02-05T08:49:41.000Z | 2019-02-05T08:49:41.000Z | #
# CAMP
#
# Copyright (C) 2017, 2018 SINTEF Digital
# All rights reserved.
#
# This software may be modified and distributed under the terms
# of the MIT license. See the LICENSE file for details.
#
from unittest import TestCase
from camp.commands import Command, Generate
| 25.190476 | 63 | 0.689981 |
e8eedebb919e5d37cf8c9784ea6066d77842d262 | 4,757 | py | Python | create_cpu_config.py | ttungl/HeteroArchGen4M2S | 85752243dc38b3d44207b6b200d6ebc88c2be8ea | [
"MIT"
] | 5 | 2018-04-29T15:33:01.000Z | 2021-11-17T11:41:45.000Z | create_cpu_config.py | berwingan/HeteroArchGen4M2S | 4922711cdfe20d120dc525a6c7cb8cd2230cba09 | [
"MIT"
] | null | null | null | create_cpu_config.py | berwingan/HeteroArchGen4M2S | 4922711cdfe20d120dc525a6c7cb8cd2230cba09 | [
"MIT"
] | 7 | 2017-07-28T02:29:59.000Z | 2021-11-20T12:01:40.000Z | #!/usr/bin/env python
# ===========================================================================
# Copyright 2017 `Tung Thanh Le`
# Email: ttungl at gmail dot com
# Heterogeneous Architecture Configurations Generator for Multi2Sim simulator
# (aka, `HeteroArchGen4M2S`)
# `HeteroArchGen4M2S` is free software, which... | 41.008621 | 115 | 0.634433 |
e8ef256cd90a45f756f9b6bac7615546b4352096 | 7,475 | py | Python | app/wall_e/models/canvas_api.py | dbwebb-se/umbridge | 76dd1a15f2f481c1fc3819990ab41e20ca65afe3 | [
"MIT"
] | null | null | null | app/wall_e/models/canvas_api.py | dbwebb-se/umbridge | 76dd1a15f2f481c1fc3819990ab41e20ca65afe3 | [
"MIT"
] | 12 | 2021-09-07T12:11:31.000Z | 2022-03-22T10:05:03.000Z | app/wall_e/models/canvas_api.py | dbwebb-se/umbridge | 76dd1a15f2f481c1fc3819990ab41e20ca65afe3 | [
"MIT"
] | null | null | null | """
"""
import os
from flask import current_app
from canvasapi import submission, requester
from app.wall_e.models.requester import Requester
from app.settings import settings
| 34.447005 | 147 | 0.597458 |
e8f09f4acc1e578e6bbb291e4f8a3a87b3a0b297 | 908 | py | Python | chat/views.py | xiaoqiao99/chat | ca65ed25fbc277828390b890a50ecadf4675cfb4 | [
"MIT"
] | 2 | 2019-06-21T10:30:18.000Z | 2019-07-12T07:46:25.000Z | chat/views.py | xiaoqiao99/chat | ca65ed25fbc277828390b890a50ecadf4675cfb4 | [
"MIT"
] | 8 | 2020-06-05T19:56:53.000Z | 2022-03-11T23:41:44.000Z | chat/views.py | xiaoqiao99/chat | ca65ed25fbc277828390b890a50ecadf4675cfb4 | [
"MIT"
] | 3 | 2020-03-13T03:22:40.000Z | 2020-07-03T03:03:02.000Z | from django.shortcuts import render
# Create your views here.
# chat/views.py
from django.shortcuts import render
from django.utils.safestring import mark_safe
import json
from chat.models import Room
| 27.515152 | 93 | 0.654185 |
e8f180504d0fc36abc7d16119e4914419e1e1ee4 | 806 | py | Python | src/app/db.py | jorwalk/fastapi-crud-async | 000705ac977673d316a5fac2ce98adac23768b6e | [
"MIT"
] | null | null | null | src/app/db.py | jorwalk/fastapi-crud-async | 000705ac977673d316a5fac2ce98adac23768b6e | [
"MIT"
] | null | null | null | src/app/db.py | jorwalk/fastapi-crud-async | 000705ac977673d316a5fac2ce98adac23768b6e | [
"MIT"
] | null | null | null | import os
from sqlalchemy import (Column, DateTime, Integer, MetaData, String, Text, Table,
create_engine)
from sqlalchemy.sql import func
from databases import Database
DATABASE_URL = os.getenv("DATABASE_URL")
# SQLAlchemy
engine = create_engine(DATABASE_URL)
metadata = MetaData()
movies =... | 26 | 81 | 0.672457 |
e8f1a3ca50bcfed7f7af218f87aa8a2b2ac30b0f | 3,224 | py | Python | python/greshunkel.py | qpfiffer/38-Moths | e7985b3ee655bca965c37b8fefde6c6ad70fdd4f | [
"MIT"
] | 14 | 2015-02-23T07:16:36.000Z | 2021-05-05T11:49:57.000Z | python/greshunkel.py | qpfiffer/futility | e7985b3ee655bca965c37b8fefde6c6ad70fdd4f | [
"MIT"
] | 19 | 2015-03-21T22:14:28.000Z | 2017-01-25T17:07:21.000Z | python/greshunkel.py | qpfiffer/futility | e7985b3ee655bca965c37b8fefde6c6ad70fdd4f | [
"MIT"
] | 3 | 2015-02-23T07:17:08.000Z | 2015-03-23T18:05:34.000Z | from ctypes import cdll, c_char_p, c_size_t, c_void_p, Union,\
LittleEndianStructure, c_char, POINTER,\
c_int, byref, CFUNCTYPE, create_string_buffer
GshklFilterFunc = CFUNCTYPE(c_char_p, c_char_p)
lib38moths = cdll.LoadLibrary("lib38moths.so")
lib38moths.gshkl_init_context.rest... | 45.408451 | 109 | 0.715261 |
e8f205c39839ed18e131eea74299ddd64618a420 | 11,443 | py | Python | objects/paginators.py | fossabot/KiwiBot | cd077ce742775ed69ea7a14796c967ed878e1abc | [
"MIT"
] | null | null | null | objects/paginators.py | fossabot/KiwiBot | cd077ce742775ed69ea7a14796c967ed878e1abc | [
"MIT"
] | null | null | null | objects/paginators.py | fossabot/KiwiBot | cd077ce742775ed69ea7a14796c967ed878e1abc | [
"MIT"
] | null | null | null | from collections import OrderedDict
from asyncio import TimeoutError, wait
from concurrent.futures import FIRST_COMPLETED
import time
from discord import TextChannel, DMChannel
from discord.errors import Forbidden, NotFound
from objects.context import Context
class Paginator(PaginatorABC):
"""
Basic pagin... | 31.874652 | 131 | 0.589094 |
e8f4043d5536bdca2c37406c6cd15241be633a78 | 21,362 | py | Python | tests/test_managedblockchain/test_managedblockchain_proposalvotes.py | junelife/moto | e61d794cbc9c18b06c11014da666e25f3fce637b | [
"Apache-2.0"
] | 1 | 2021-12-12T04:23:06.000Z | 2021-12-12T04:23:06.000Z | tests/test_managedblockchain/test_managedblockchain_proposalvotes.py | junelife/moto | e61d794cbc9c18b06c11014da666e25f3fce637b | [
"Apache-2.0"
] | 2 | 2018-08-07T10:47:18.000Z | 2018-08-08T15:13:04.000Z | tests/test_managedblockchain/test_managedblockchain_proposalvotes.py | junelife/moto | e61d794cbc9c18b06c11014da666e25f3fce637b | [
"Apache-2.0"
] | null | null | null | from __future__ import unicode_literals
import os
import boto3
import sure # noqa
from freezegun import freeze_time
from unittest import SkipTest
from moto import mock_managedblockchain, settings
from . import helpers
| 31.836066 | 87 | 0.679805 |
e8f4751164f0af5c0a64d647c72d41648acdaa32 | 752 | py | Python | docs/Others/Python_leetcode/Codes/1.Two_Sum.py | mheanng/PythonNote | e3e5ede07968fab0a45f6ac4db96e62092c17026 | [
"Apache-2.0"
] | 2 | 2020-04-09T05:56:23.000Z | 2021-03-25T18:42:36.000Z | docs/Others/Python_leetcode/Codes/1.Two_Sum.py | mheanng/PythonNote | e3e5ede07968fab0a45f6ac4db96e62092c17026 | [
"Apache-2.0"
] | 22 | 2020-04-09T06:09:14.000Z | 2021-01-06T01:05:32.000Z | docs/Others/Python_leetcode/Codes/1.Two_Sum.py | mheanng/PythonNote | e3e5ede07968fab0a45f6ac4db96e62092c17026 | [
"Apache-2.0"
] | 6 | 2020-03-09T07:19:21.000Z | 2021-01-05T23:23:42.000Z | """
nums target
:
nums = [2, 7, 11, 15], target = 9
nums[0] + nums[1] = 2 + 7 = 9
[0, 1]
"""
# %%
nums = [2, 2, 7, 11, 15]
target = 9
print(Solution().twoSum(nums, target))
nums = [2, 5, 5, 11]
target = 10
print(Solution().twoSum(nums, target))
| 22.117647 | 66 | 0.542553 |
e8f4b23ed19c18a99bdef84f2585aee923db8769 | 3,306 | py | Python | pyathena/util/rebin.py | changgoo/pyathena-1 | c461ac3390d773537ce52393e3ebf68a3282aa46 | [
"MIT"
] | 1 | 2019-10-03T13:59:14.000Z | 2019-10-03T13:59:14.000Z | pyathena/util/rebin.py | changgoo/pyathena-1 | c461ac3390d773537ce52393e3ebf68a3282aa46 | [
"MIT"
] | 3 | 2020-09-23T23:36:17.000Z | 2022-01-11T06:16:56.000Z | pyathena/util/rebin.py | changgoo/pyathena-1 | c461ac3390d773537ce52393e3ebf68a3282aa46 | [
"MIT"
] | 2 | 2019-06-10T04:26:16.000Z | 2019-12-04T22:27:02.000Z | from __future__ import print_function
import numpy as np
def rebin_xyz(arr, bin_factor, fill_value=None):
"""
Function to rebin masked 3d array.
Parameters
----------
arr : ndarray
Masked or unmasked 3d numpy array. Shape is assumed to be (nz, ny, nx).
bin_factor : int
bin... | 28.747826 | 109 | 0.578947 |
e8f589ed3e76934af8053deea1546715e9acd247 | 9,095 | py | Python | fn_utilities/fn_utilities/components/utilities_shell_command.py | rudimeyer/resilient-community-apps | 7a46841ba41fa7a1c421d4b392b0a3ca9e36bd00 | [
"MIT"
] | 1 | 2020-08-25T03:43:07.000Z | 2020-08-25T03:43:07.000Z | fn_utilities/fn_utilities/components/utilities_shell_command.py | rudimeyer/resilient-community-apps | 7a46841ba41fa7a1c421d4b392b0a3ca9e36bd00 | [
"MIT"
] | 1 | 2019-07-08T16:57:48.000Z | 2019-07-08T16:57:48.000Z | fn_utilities/fn_utilities/components/utilities_shell_command.py | rudimeyer/resilient-community-apps | 7a46841ba41fa7a1c421d4b392b0a3ca9e36bd00 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# (c) Copyright IBM Corp. 2018. All Rights Reserved.
# pragma pylint: disable=unused-argument, no-self-use
"""Function implementation"""
import os
import logging
import time
import shlex
import subprocess
import json
import chardet
import winrm
import re
from resilient_circuits import Resilien... | 45.934343 | 119 | 0.534469 |
e8f5e5aaaf237abae1b7ee4f6b5a71282972a181 | 428 | py | Python | snapmerge/home/migrations/0010_project_email.py | R4356th/smerge | 2f2a6a4acfe3903ed4f71d90537f7277248e8b59 | [
"MIT"
] | 13 | 2018-07-16T09:59:55.000Z | 2022-01-27T19:07:17.000Z | snapmerge/home/migrations/0010_project_email.py | R4356th/smerge | 2f2a6a4acfe3903ed4f71d90537f7277248e8b59 | [
"MIT"
] | 55 | 2018-07-16T12:17:58.000Z | 2022-03-17T16:10:30.000Z | snapmerge/home/migrations/0010_project_email.py | R4356th/smerge | 2f2a6a4acfe3903ed4f71d90537f7277248e8b59 | [
"MIT"
] | 4 | 2019-10-10T20:16:49.000Z | 2021-03-12T07:15:50.000Z | # Generated by Django 2.0.1 on 2018-07-26 12:51
from django.db import migrations, models
| 22.526316 | 97 | 0.61215 |
e8f70cb35f8f35780ab43f567c03a983bf3f8b23 | 5,512 | py | Python | othello.py | edjacob25/Intelligent-Systems | ae24c7e1039c98cd2940a5a813aae27fabadb99f | [
"MIT"
] | null | null | null | othello.py | edjacob25/Intelligent-Systems | ae24c7e1039c98cd2940a5a813aae27fabadb99f | [
"MIT"
] | null | null | null | othello.py | edjacob25/Intelligent-Systems | ae24c7e1039c98cd2940a5a813aae27fabadb99f | [
"MIT"
] | null | null | null | from games import (GameState, Game, query_player, random_player,
alphabeta_player, play_game, minimax_decision,
alphabeta_full_search, alphabeta_search)
| 40.529412 | 80 | 0.502903 |
e8fb499b8bff3a7d1f52fd19a5495fe47b6684e5 | 2,165 | py | Python | bot/lib/controller/GetCommentTask.py | nullwriter/ig-actor | a089107657ccdf11ba213160c4cc5d3690cecd76 | [
"MIT"
] | null | null | null | bot/lib/controller/GetCommentTask.py | nullwriter/ig-actor | a089107657ccdf11ba213160c4cc5d3690cecd76 | [
"MIT"
] | null | null | null | bot/lib/controller/GetCommentTask.py | nullwriter/ig-actor | a089107657ccdf11ba213160c4cc5d3690cecd76 | [
"MIT"
] | null | null | null | import time
import re
from FileLogger import FileLogger as FL
import datetime
| 28.116883 | 100 | 0.525635 |
e8fc53ef376367f7c8b17273ac9b30e8bcf26788 | 4,981 | py | Python | scripts/mc_counting_same_origin.py | jonassagild/Track-to-Track-Fusion | 6bb7fbe6a6e2d9a2713c47f211899226485eee79 | [
"MIT"
] | 4 | 2021-06-16T19:33:56.000Z | 2022-03-14T06:47:41.000Z | scripts/mc_counting_same_origin.py | jonassagild/Track-to-Track-Fusion | 6bb7fbe6a6e2d9a2713c47f211899226485eee79 | [
"MIT"
] | 2 | 2021-06-08T16:18:45.000Z | 2021-11-25T09:38:08.000Z | scripts/mc_counting_same_origin.py | jonassagild/Track-to-Track-Fusion | 6bb7fbe6a6e2d9a2713c47f211899226485eee79 | [
"MIT"
] | 4 | 2020-09-28T04:54:17.000Z | 2021-10-15T15:58:38.000Z | """
script to run mc sims on the three associations techniques when the tracks origin are equal. Used to calculate the
total number of correctly associating tracks and total # falsly not associating tracks from the same target.
"""
import numpy as np
from stonesoup.types.state import GaussianState
from data_associati... | 49.81 | 116 | 0.682995 |
e8fc72a77fdd416f9afae8ddad6132491cc5fabf | 4,405 | py | Python | c4/system/history.py | Brewgarten/c4-system-manager | 6fdec33ced4b1cb32d82a24cd168447a899b7e10 | [
"MIT"
] | null | null | null | c4/system/history.py | Brewgarten/c4-system-manager | 6fdec33ced4b1cb32d82a24cd168447a899b7e10 | [
"MIT"
] | 1 | 2017-10-17T21:51:40.000Z | 2017-10-17T21:51:40.000Z | c4/system/history.py | Brewgarten/c4-system-manager | 6fdec33ced4b1cb32d82a24cd168447a899b7e10 | [
"MIT"
] | null | null | null | """
Copyright (c) IBM 2015-2017. All Rights Reserved.
Project name: c4-system-manager
This project is licensed under the MIT License, see LICENSE
"""
from abc import ABCMeta, abstractmethod
| 26.065089 | 90 | 0.595687 |
e8ff4205f8efbe6454dce1e931b810fa2782cb7c | 5,876 | py | Python | zkfarmer/utils.py | artarik/zkfarmer | e1297bd27347ac8a5333b4b10aaae3868f457222 | [
"MIT"
] | null | null | null | zkfarmer/utils.py | artarik/zkfarmer | e1297bd27347ac8a5333b4b10aaae3868f457222 | [
"MIT"
] | null | null | null | zkfarmer/utils.py | artarik/zkfarmer | e1297bd27347ac8a5333b4b10aaae3868f457222 | [
"MIT"
] | null | null | null | import json
import operator
import logging
import re
import time
from socket import socket, AF_INET, SOCK_DGRAM
from functools import reduce
logger = logging.getLogger(__name__)
def ip():
"""Find default IP"""
ip = None
s = socket(AF_INET, SOCK_DGRAM)
try:
s.connect(('239.255.0.0', 9))
... | 31.934783 | 96 | 0.536079 |
e8ff9e109d1e3411f4ef5d970014c1908546fefe | 6,168 | py | Python | support/update_dht_servers.py | sonofmom/ton-zabbix-scripts | b43471d058873c5ba78a92fa79d334380df5f6fc | [
"MIT"
] | null | null | null | support/update_dht_servers.py | sonofmom/ton-zabbix-scripts | b43471d058873c5ba78a92fa79d334380df5f6fc | [
"MIT"
] | null | null | null | support/update_dht_servers.py | sonofmom/ton-zabbix-scripts | b43471d058873c5ba78a92fa79d334380df5f6fc | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
#
import sys
import os
sys.path.append(os.path.dirname(os.path.dirname(os.path.realpath(__file__))))
import argparse
import Libraries.arguments as ar
import Libraries.tools.general as gt
import Libraries.tools.zabbix as zt
import Classes.AppConfig as AppConfig
import requests
import copy
if __... | 35.245714 | 148 | 0.50989 |
330000bbbc4cd1509f76a97c2471648387f8c603 | 332 | py | Python | src/data/dbConnection.py | leonardoleyva/api-agenda-uas | 697740a0a3feebb2ada01133db020fcf5127e1de | [
"MIT"
] | 1 | 2022-03-13T02:28:29.000Z | 2022-03-13T02:28:29.000Z | src/data/dbConnection.py | leonardoleyva/api-agenda-uas | 697740a0a3feebb2ada01133db020fcf5127e1de | [
"MIT"
] | null | null | null | src/data/dbConnection.py | leonardoleyva/api-agenda-uas | 697740a0a3feebb2ada01133db020fcf5127e1de | [
"MIT"
] | null | null | null | from firebase_admin import firestore
from google.cloud.firestore_v1.base_client import BaseClient
from ..core.app import App
| 23.714286 | 60 | 0.710843 |
3300e6cf675f4b79e58bd1692aff8eee2b9eee77 | 124 | py | Python | math/PowerModPower.py | silvioedu/HackerRank-Python-Practice | e31ebe49d431c0a23fed0cd67a6984e2b0b7a260 | [
"MIT"
] | null | null | null | math/PowerModPower.py | silvioedu/HackerRank-Python-Practice | e31ebe49d431c0a23fed0cd67a6984e2b0b7a260 | [
"MIT"
] | null | null | null | math/PowerModPower.py | silvioedu/HackerRank-Python-Practice | e31ebe49d431c0a23fed0cd67a6984e2b0b7a260 | [
"MIT"
] | null | null | null | if __name__ == '__main__':
a, b, m = int(input()),int(input()),int(input())
print(pow(a,b))
print(pow(a,b,m)) | 31 | 53 | 0.532258 |
3301f92fef2ea95eab5a3e90a808b11c54276e49 | 273 | py | Python | test_autolens/integration/tests/imaging/lens_only/mock_nlo/lens_light__hyper_bg_noise.py | PyJedi/PyAutoLens | bcfb2e7b447aa24508fc648d60b6fd9b4fd852e7 | [
"MIT"
] | 1 | 2020-04-06T20:07:56.000Z | 2020-04-06T20:07:56.000Z | test_autolens/integration/tests/imaging/lens_only/mock_nlo/lens_light__hyper_bg_noise.py | PyJedi/PyAutoLens | bcfb2e7b447aa24508fc648d60b6fd9b4fd852e7 | [
"MIT"
] | null | null | null | test_autolens/integration/tests/imaging/lens_only/mock_nlo/lens_light__hyper_bg_noise.py | PyJedi/PyAutoLens | bcfb2e7b447aa24508fc648d60b6fd9b4fd852e7 | [
"MIT"
] | null | null | null | from test_autolens.integration.tests.imaging.lens_only import lens_light__hyper_bg_noise
from test_autolens.integration.tests.imaging.runner import run_a_mock
| 34.125 | 88 | 0.849817 |
33026e3d3385ab0a61779b22eebf7f1ae1b53d97 | 3,047 | py | Python | pyleecan/Methods/Slot/HoleM51/_comp_point_coordinate.py | IrakozeFD/pyleecan | 5a93bd98755d880176c1ce8ac90f36ca1b907055 | [
"Apache-2.0"
] | 95 | 2019-01-23T04:19:45.000Z | 2022-03-17T18:22:10.000Z | pyleecan/Methods/Slot/HoleM51/_comp_point_coordinate.py | IrakozeFD/pyleecan | 5a93bd98755d880176c1ce8ac90f36ca1b907055 | [
"Apache-2.0"
] | 366 | 2019-02-20T07:15:08.000Z | 2022-03-31T13:37:23.000Z | pyleecan/Methods/Slot/HoleM51/_comp_point_coordinate.py | IrakozeFD/pyleecan | 5a93bd98755d880176c1ce8ac90f36ca1b907055 | [
"Apache-2.0"
] | 74 | 2019-01-24T01:47:31.000Z | 2022-02-25T05:44:42.000Z | from numpy import exp, pi, cos, sin, tan
from ....Functions.Geometry.inter_line_circle import inter_line_circle
def _comp_point_coordinate(self):
"""Compute the point coordinates needed to plot the Slot.
Parameters
----------
self : HoleM51
A HoleM51 object
Returns
-------
point_... | 31.091837 | 81 | 0.535609 |
3302f95944549893e6c718830b8f06c614895c10 | 8,700 | py | Python | Python/cs611python.py | david145/CS6112018 | 7a74c239bf5157507594157b5871c9d0c70fcc23 | [
"MIT"
] | null | null | null | Python/cs611python.py | david145/CS6112018 | 7a74c239bf5157507594157b5871c9d0c70fcc23 | [
"MIT"
] | 1 | 2018-10-29T17:41:08.000Z | 2018-10-29T17:41:08.000Z | Python/cs611python.py | david145/CS6112018 | 7a74c239bf5157507594157b5871c9d0c70fcc23 | [
"MIT"
] | null | null | null | print("\n")
print("PythonExercises-v2 by David Bochan")
print("\n")
print("=== EXERCISE 1 ===")
print("\n")
print("(a) 5 / 3 = " + str(5 / 3))
print("=> with python3 you can receive a float even if you divide two \
integers")
print("\n")
print("(b) 5 % 3 = " + str(5 % 3))
print("=> % is the modulus which divides lef... | 23.138298 | 79 | 0.608046 |
33030065b5b2083f8a15967babebd9c665e0b507 | 5,774 | py | Python | src/usgsgeomag.py | jake9wi/spaceweather | a0e08033c3dc34835f8d5d46c6263b5f4b5f0877 | [
"MIT"
] | null | null | null | src/usgsgeomag.py | jake9wi/spaceweather | a0e08033c3dc34835f8d5d46c6263b5f4b5f0877 | [
"MIT"
] | null | null | null | src/usgsgeomag.py | jake9wi/spaceweather | a0e08033c3dc34835f8d5d46c6263b5f4b5f0877 | [
"MIT"
] | null | null | null | """Plot USGS geomag data."""
import argparse
import pathlib as pl
import datetime as dt
import matplotlib; matplotlib.use('cairo')
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import matplotlib.ticker as mticker
import requests
import pandas as pd
import funcs
funcs.check_cwd(pl.Path.cwd())
DTG_F... | 20.621429 | 72 | 0.574991 |
3304cda4bb7181483694fd293ce4ad5249b9bc1e | 2,178 | py | Python | checkov/terraform/checks/resource/kubernetes/PodSecurityContext.py | pmalkki/checkov | b6cdf386dd976fe27c16fed6d550756a678a5d7b | [
"Apache-2.0"
] | null | null | null | checkov/terraform/checks/resource/kubernetes/PodSecurityContext.py | pmalkki/checkov | b6cdf386dd976fe27c16fed6d550756a678a5d7b | [
"Apache-2.0"
] | null | null | null | checkov/terraform/checks/resource/kubernetes/PodSecurityContext.py | pmalkki/checkov | b6cdf386dd976fe27c16fed6d550756a678a5d7b | [
"Apache-2.0"
] | null | null | null | from checkov.common.models.enums import CheckCategories, CheckResult
from checkov.terraform.checks.resource.base_resource_check import BaseResourceCheck
check = PodSecurityContext()
| 41.09434 | 106 | 0.596878 |
33050cf010c98c8d6ee47a3c7fc7081460e0df92 | 345 | py | Python | hardware/demo_i2c.py | leeehuang/MaixPy_scripts | 79a5485ec983e67bb8861305a52418b29e0dc205 | [
"MIT"
] | null | null | null | hardware/demo_i2c.py | leeehuang/MaixPy_scripts | 79a5485ec983e67bb8861305a52418b29e0dc205 | [
"MIT"
] | null | null | null | hardware/demo_i2c.py | leeehuang/MaixPy_scripts | 79a5485ec983e67bb8861305a52418b29e0dc205 | [
"MIT"
] | null | null | null | from machine import I2C
# i2c = I2C(I2C.I2C0, freq=100000, scl=28, sda=29) # hardware i2c
i2c = I2C(I2C.I2C3, freq=100000, scl=28, sda=29) # software i2c
devices = i2c.scan()
print(devices)
for device in devices:
i2c.writeto(device, b'123')
i2c.readfrom(device, 3)
# tmp = bytearray(6)
# i2c.readfrom_... | 23 | 65 | 0.672464 |
3305691c62826956ff8ed131b9e4f86523e06726 | 1,431 | py | Python | repos/system_upgrade/common/models/selinux.py | sm00th/leapp-repository | 1c171ec3a5f9260a3c6f84a9b15cad78a875ac61 | [
"Apache-2.0"
] | null | null | null | repos/system_upgrade/common/models/selinux.py | sm00th/leapp-repository | 1c171ec3a5f9260a3c6f84a9b15cad78a875ac61 | [
"Apache-2.0"
] | 1 | 2022-03-07T15:34:11.000Z | 2022-03-07T15:35:15.000Z | repos/system_upgrade/common/models/selinux.py | sm00th/leapp-repository | 1c171ec3a5f9260a3c6f84a9b15cad78a875ac61 | [
"Apache-2.0"
] | null | null | null | from leapp.models import fields, Model
from leapp.topics import SystemInfoTopic, TransactionTopic
| 31.108696 | 70 | 0.716981 |