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edf05b399b9f068366d11eadfffffe4ec1a483a1 | 578 | py | Python | gym_envs/np_frozenlake.py | ranok92/deepirl | 88c7e76986243cf0b988d8d7dc0eef6b58e07864 | [
"MIT"
] | 2 | 2019-01-04T22:03:15.000Z | 2019-04-03T00:16:11.000Z | gym_envs/np_frozenlake.py | ranok92/deepirl | 88c7e76986243cf0b988d8d7dc0eef6b58e07864 | [
"MIT"
] | null | null | null | gym_envs/np_frozenlake.py | ranok92/deepirl | 88c7e76986243cf0b988d8d7dc0eef6b58e07864 | [
"MIT"
] | null | null | null | '''
Wrapper around frozenlake-v0 that outputs one-hot numpy vectors instead of
integers as the state space.
'''
import pdb
from gym.envs.toy_text import frozen_lake
import numpy as np
import sys
sys.path.insert(0, '..') # NOQA:E402:w
from utils import to_oh
class FrozenLakeNP(frozen_lake.FrozenLakeEnv):
def re... | 23.12 | 74 | 0.648789 |
e615a49a7dbf7905b05e1c8b3444cef29732b4e9 | 93,473 | py | Python | qa/rpc-tests/p2p-segwit.py | cryptotetsuya/shin4 | 73e81561294aef178e13ae5f5501de5e7431c8c2 | [
"MIT"
] | null | null | null | qa/rpc-tests/p2p-segwit.py | cryptotetsuya/shin4 | 73e81561294aef178e13ae5f5501de5e7431c8c2 | [
"MIT"
] | null | null | null | qa/rpc-tests/p2p-segwit.py | cryptotetsuya/shin4 | 73e81561294aef178e13ae5f5501de5e7431c8c2 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2016 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
from test_framework.mininode import *
from test_framework.test_framework import BitcoinTestFramework
from test... | 45.641113 | 143 | 0.658062 |
eb43e0611c6463324317b4e32b7d075dd28a3a37 | 5,805 | py | Python | axelrod/tests/unit/test_gambler.py | t0nyt93/Axelroddd | 66d95378d3ece8b32afeb1c77d305397bd9a815e | [
"MIT"
] | null | null | null | axelrod/tests/unit/test_gambler.py | t0nyt93/Axelroddd | 66d95378d3ece8b32afeb1c77d305397bd9a815e | [
"MIT"
] | null | null | null | axelrod/tests/unit/test_gambler.py | t0nyt93/Axelroddd | 66d95378d3ece8b32afeb1c77d305397bd9a815e | [
"MIT"
] | 1 | 2019-03-11T08:56:09.000Z | 2019-03-11T08:56:09.000Z | """Test for the Gambler strategy.
Most tests come form the LookerUp test suite.
"""
import copy
import axelrod
from .test_player import TestPlayer, TestMatch
C, D = axelrod.Actions.C, axelrod.Actions.D
class TestGambler(TestPlayer):
name = "Gambler"
player = axelrod.Gambler
expected_classifier = {
... | 29.617347 | 78 | 0.579845 |
f316fcd4a4ce94c124193ad5cd32388ef4d7d99b | 1,964 | py | Python | yt_concate/pipline/steps/get_video_list.py | nikibacon/yt-concate | a8aff16997c9fd898e73a296a7e235b0b1c668bd | [
"MIT"
] | null | null | null | yt_concate/pipline/steps/get_video_list.py | nikibacon/yt-concate | a8aff16997c9fd898e73a296a7e235b0b1c668bd | [
"MIT"
] | null | null | null | yt_concate/pipline/steps/get_video_list.py | nikibacon/yt-concate | a8aff16997c9fd898e73a296a7e235b0b1c668bd | [
"MIT"
] | null | null | null | import urllib.request
import json
from yt_concate.pipline.steps.step import Step
# global variable 都不變的話會用全大寫
from yt_concate.settings import API_KEY
class GetVideoList(Step):
def process(self, data, inputs, utils, logger):
channel_id = inputs['channel_id']
if utils.video_list_file_exists(channe... | 35.709091 | 119 | 0.57943 |
eb182a2fb32efbfc161df98b9b176d48b2cbab77 | 4,850 | py | Python | tests/unit/network_services/traffic_profile/test_fixed.py | kkltcjk/yardstick-moon | de48b16d1385cc26e83f8886d148d642c59e3d64 | [
"Apache-2.0"
] | null | null | null | tests/unit/network_services/traffic_profile/test_fixed.py | kkltcjk/yardstick-moon | de48b16d1385cc26e83f8886d148d642c59e3d64 | [
"Apache-2.0"
] | null | null | null | tests/unit/network_services/traffic_profile/test_fixed.py | kkltcjk/yardstick-moon | de48b16d1385cc26e83f8886d148d642c59e3d64 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# Copyright (c) 2016-2017 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... | 39.430894 | 78 | 0.506186 |
65e31f56764319899f31be787742d2f7410c7d50 | 1,208 | py | Python | app/sql/config/DbConfig.py | fredpan/Prosopagnosia_Web_Server | b56b58eccdbbde6b158802d49f7bcc1b44b18b69 | [
"Apache-2.0"
] | null | null | null | app/sql/config/DbConfig.py | fredpan/Prosopagnosia_Web_Server | b56b58eccdbbde6b158802d49f7bcc1b44b18b69 | [
"Apache-2.0"
] | null | null | null | app/sql/config/DbConfig.py | fredpan/Prosopagnosia_Web_Server | b56b58eccdbbde6b158802d49f7bcc1b44b18b69 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 EraO Prosopagnosia Helper Dev Team, Liren Pan, Yixiao Hong, Hongzheng Xu, Stephen Huang, Tiancong Wang
#
# Supervised by Prof. Steve Mann (http://www.eecg.toronto.edu/~mann/)
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with th... | 43.142857 | 120 | 0.728477 |
202cd481ebebd2eb54b8f1fab433e974985b212f | 49,984 | py | Python | src/transformers/utils/dummy_tf_objects.py | yhl48/transformers | b320d87eceb369ea22d5cd73866499851cb2cca3 | [
"Apache-2.0"
] | 1 | 2022-03-28T15:28:54.000Z | 2022-03-28T15:28:54.000Z | src/transformers/utils/dummy_tf_objects.py | yhl48/transformers | b320d87eceb369ea22d5cd73866499851cb2cca3 | [
"Apache-2.0"
] | null | null | null | src/transformers/utils/dummy_tf_objects.py | yhl48/transformers | b320d87eceb369ea22d5cd73866499851cb2cca3 | [
"Apache-2.0"
] | null | null | null | # This file is autogenerated by the command `make fix-copies`, do not edit.
# flake8: noqa
from ..utils import DummyObject, requires_backends
class TensorFlowBenchmarkArguments(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"])
class Tens... | 22.647938 | 75 | 0.676516 |
e93be4f26c8c5bdc42cfc0e258f4a5b0ae6ab693 | 4,096 | py | Python | modin/pandas/test/test_concat.py | zeevikal/modin | 2128f80280092902c61d738d9d2ef551bc4ffaf4 | [
"Apache-2.0"
] | null | null | null | modin/pandas/test/test_concat.py | zeevikal/modin | 2128f80280092902c61d738d9d2ef551bc4ffaf4 | [
"Apache-2.0"
] | null | null | null | modin/pandas/test/test_concat.py | zeevikal/modin | 2128f80280092902c61d738d9d2ef551bc4ffaf4 | [
"Apache-2.0"
] | null | null | null | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import pytest
import pandas
import modin.pandas as pd
from modin.pandas.utils import from_pandas, to_pandas
pd.DEFAULT_NPARTITIONS = 4
@pytest.fixture
def ray_df_equals_pandas(ray_df, pandas_df):
return ... | 25.128834 | 88 | 0.590088 |
2f37b48333271cbe66800e7a0397b62def02c340 | 536 | py | Python | subscription/migrations/0009_auto_20200603_1210.py | BuildForSDG/dijiElimu | 514a90d6f0480516aa209891224cf9dfe6be1607 | [
"MIT"
] | null | null | null | subscription/migrations/0009_auto_20200603_1210.py | BuildForSDG/dijiElimu | 514a90d6f0480516aa209891224cf9dfe6be1607 | [
"MIT"
] | 20 | 2020-05-12T12:11:01.000Z | 2022-03-12T00:33:12.000Z | subscription/migrations/0009_auto_20200603_1210.py | BuildForSDG/dijiElimu | 514a90d6f0480516aa209891224cf9dfe6be1607 | [
"MIT"
] | 4 | 2020-05-06T03:57:04.000Z | 2020-05-20T06:30:28.000Z | # Generated by Django 3.0.6 on 2020-06-03 12:10
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('course', '0007_auto_20200603_0823'),
('subscription', '0008_subscription_user'),
]
operations = [
m... | 25.52381 | 112 | 0.643657 |
599fe1aae2942a8aeab57f3d400bed460e015324 | 9,440 | py | Python | dataset/psenet/psenet_synth.py | wenjunyoung/PAN_PLUS | c893ff4775c8ff137a21c15d34fb93b9394dbfe5 | [
"Apache-2.0"
] | null | null | null | dataset/psenet/psenet_synth.py | wenjunyoung/PAN_PLUS | c893ff4775c8ff137a21c15d34fb93b9394dbfe5 | [
"Apache-2.0"
] | null | null | null | dataset/psenet/psenet_synth.py | wenjunyoung/PAN_PLUS | c893ff4775c8ff137a21c15d34fb93b9394dbfe5 | [
"Apache-2.0"
] | null | null | null | import numpy as np
from PIL import Image
from torch.utils import data
import cv2
import random
import torchvision.transforms as transforms
import torch
import pyclipper
import Polygon as plg
import math
import string
import scipy.io as scio
synth_root_dir = './data/SynthText/'
synth_train_data_dir = synth_root_dir
syn... | 32.108844 | 115 | 0.5625 |
1eff7f41ff5d54ae199137f59fb15f578ac53067 | 46,149 | py | Python | MetaScreener/external_sw/mgltools/MGLToolsPckgs/MolKit/pdbWriter.py | bio-hpc/metascreener | 6900497629f601c4b6c0c37da26de58ffa221988 | [
"Apache-2.0"
] | 8 | 2021-12-14T21:30:01.000Z | 2022-02-14T11:30:03.000Z | MetaScreener/external_sw/mgltools/MGLToolsPckgs/MolKit/pdbWriter.py | bio-hpc/metascreener | 6900497629f601c4b6c0c37da26de58ffa221988 | [
"Apache-2.0"
] | null | null | null | MetaScreener/external_sw/mgltools/MGLToolsPckgs/MolKit/pdbWriter.py | bio-hpc/metascreener | 6900497629f601c4b6c0c37da26de58ffa221988 | [
"Apache-2.0"
] | null | null | null | #############################################################################
#
# Author: Kevin Chan, Michel F. SANNER
#
# Copyright: M. Sanner TSRI 2000
#
#############################################################################
#
# $Header: /opt/cvs/python/packages/share1.5/MolKit/pdbWriter.py,v 1.29 2014/07/09 ... | 38.58612 | 107 | 0.497302 |
3d805506b40d844981dff551a05750793cddf6a9 | 2,835 | py | Python | examples/rsa/schelling.py | hicala/pyro | bc607f8cf817a8ee7cdebc83dfa51c233d5f13ae | [
"Apache-2.0"
] | null | null | null | examples/rsa/schelling.py | hicala/pyro | bc607f8cf817a8ee7cdebc83dfa51c233d5f13ae | [
"Apache-2.0"
] | null | null | null | examples/rsa/schelling.py | hicala/pyro | bc607f8cf817a8ee7cdebc83dfa51c233d5f13ae | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
"""
Schelling coordination game:
Two spies, Alice and Bob, want to meet.
They must choose between two locations without communicating
by recursively reasoning about one another.
Taken from: http://forestdb.org/models/schelling.ht... | 32.965116 | 82 | 0.710758 |
769ef68f1cab80c37bd6063c30ca2eff02c93891 | 49,825 | py | Python | edb/schema/constraints.py | jamilabreu/edgedb | 6d3f222e4c5d3300f483b4e06e8f747c6381f313 | [
"Apache-2.0"
] | null | null | null | edb/schema/constraints.py | jamilabreu/edgedb | 6d3f222e4c5d3300f483b4e06e8f747c6381f313 | [
"Apache-2.0"
] | null | null | null | edb/schema/constraints.py | jamilabreu/edgedb | 6d3f222e4c5d3300f483b4e06e8f747c6381f313 | [
"Apache-2.0"
] | null | null | null | #
# This source file is part of the EdgeDB open source project.
#
# Copyright 2008-present MagicStack Inc. and the EdgeDB 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... | 34.338387 | 79 | 0.585509 |
5afd11571e500a59f1295e5f371c29c6e3af7f94 | 3,963 | py | Python | examples/example_sim_rigid_chain.py | addy1997/warp | 1c231e3eda88a39ce8142b9727e918d2a3e4a4b1 | [
"MIT",
"Unlicense",
"Apache-2.0",
"0BSD"
] | null | null | null | examples/example_sim_rigid_chain.py | addy1997/warp | 1c231e3eda88a39ce8142b9727e918d2a3e4a4b1 | [
"MIT",
"Unlicense",
"Apache-2.0",
"0BSD"
] | null | null | null | examples/example_sim_rigid_chain.py | addy1997/warp | 1c231e3eda88a39ce8142b9727e918d2a3e4a4b1 | [
"MIT",
"Unlicense",
"Apache-2.0",
"0BSD"
] | null | null | null | # Copyright (c) 2022 NVIDIA CORPORATION. All rights reserved.
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this software and relate... | 28.510791 | 123 | 0.593237 |
72ebaa077b093b0a53e753401721c90f815d88cc | 2,326 | py | Python | features/environment.py | pablodoramas/behave | bfda54448906d919ffd3fa4424b6d3c155a5388b | [
"BSD-2-Clause"
] | 8 | 2016-01-06T09:19:45.000Z | 2021-05-29T11:58:10.000Z | features/environment.py | pablodoramas/behave | bfda54448906d919ffd3fa4424b6d3c155a5388b | [
"BSD-2-Clause"
] | 1 | 2022-02-16T20:56:42.000Z | 2022-02-16T20:56:42.000Z | features/environment.py | pablodoramas/behave | bfda54448906d919ffd3fa4424b6d3c155a5388b | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: UTF-8 -*-
# FILE: features/environemnt.py
from __future__ import absolute_import, print_function
from behave.tag_matcher import \
ActiveTagMatcher, setup_active_tag_values, print_active_tags
from behave4cmd0.setup_command_shell import setup_command_shell_processors4behave
from behave import python_fe... | 36.920635 | 81 | 0.671969 |
ebb6ce5ee0430b5d9dd1f5c04ffd7abf080fb5de | 2,184 | py | Python | magenta/models/coconet/export_saved_model.py | nkjulia/magenta | 063d320d59276a15afa0f8a3a8d386ad74594070 | [
"Apache-2.0"
] | 2,785 | 2020-06-05T03:00:48.000Z | 2022-03-31T20:59:43.000Z | magenta/models/coconet/export_saved_model.py | nkjulia/magenta | 063d320d59276a15afa0f8a3a8d386ad74594070 | [
"Apache-2.0"
] | 242 | 2020-06-04T18:35:42.000Z | 2022-03-30T09:14:18.000Z | magenta/models/coconet/export_saved_model.py | nkjulia/magenta | 063d320d59276a15afa0f8a3a8d386ad74594070 | [
"Apache-2.0"
] | 745 | 2020-06-05T02:32:45.000Z | 2022-03-30T04:44:20.000Z | # Copyright 2021 The Magenta Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in ... | 37.655172 | 76 | 0.723901 |
bb92072a203dbcbc75120c1ac04b2bf6162b34a0 | 10,381 | py | Python | PyFitch.py | donfbecker/PyFitch | b45c0307fe70bb4158d24c6a8be579e3109fecf8 | [
"MIT"
] | null | null | null | PyFitch.py | donfbecker/PyFitch | b45c0307fe70bb4158d24c6a8be579e3109fecf8 | [
"MIT"
] | null | null | null | PyFitch.py | donfbecker/PyFitch | b45c0307fe70bb4158d24c6a8be579e3109fecf8 | [
"MIT"
] | null | null | null | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import shutil
import sys
import glob
import numpy as np
import tflite_runtime.interpreter as tflite
from PIL import Image
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
from PyQt5.QtCore i... | 30.804154 | 114 | 0.635584 |
c0f1462f299f24e1c3663511f9f852aea1084658 | 744 | py | Python | backend/app/models/post.py | adriangb/fastapi-blog | e4db152065648470ad7c2116b84edcdf289f3efc | [
"MIT"
] | 57 | 2021-02-22T02:21:57.000Z | 2022-03-25T07:30:09.000Z | backend/app/models/post.py | adriangb/fastapi-blog | e4db152065648470ad7c2116b84edcdf289f3efc | [
"MIT"
] | 5 | 2021-05-30T22:21:55.000Z | 2022-01-22T23:41:51.000Z | backend/app/models/post.py | adriangb/fastapi-blog | e4db152065648470ad7c2116b84edcdf289f3efc | [
"MIT"
] | 5 | 2021-10-09T20:14:43.000Z | 2022-02-21T07:31:54.000Z | from datetime import datetime
from sqlalchemy import TIMESTAMP, Integer, String
from sqlalchemy.orm import relationship
from sqlalchemy.sql.schema import Column, ForeignKey
from app.db.base import Base
from . import user
class Post(Base):
__tablename__: str = "posts"
id: int = Column(Integer, primary_key=... | 31 | 69 | 0.725806 |
56e26f9e6e83e5e82955a52aa864e27becbc7b6b | 2,715 | py | Python | building_dataset.py | samshad/Stack-Twitter-Big5 | 0716503dc2992ed53dca3730bcea0adef5e15dd2 | [
"MIT"
] | null | null | null | building_dataset.py | samshad/Stack-Twitter-Big5 | 0716503dc2992ed53dca3730bcea0adef5e15dd2 | [
"MIT"
] | null | null | null | building_dataset.py | samshad/Stack-Twitter-Big5 | 0716503dc2992ed53dca3730bcea0adef5e15dd2 | [
"MIT"
] | null | null | null | import pandas as pd
import ast
main_data = pd.read_csv('Data/Stack+Twitter+Ocean Data.csv')
twitter = pd.read_csv('Data/twitter_data.csv')
personality = pd.read_csv('Data/personality_data_twitter.csv')
stackoverflow = pd.read_csv('Data/stackoverflow_data.csv')
# stackoverflow['top_tags_question'] = stackoverflow['to... | 49.363636 | 111 | 0.673665 |
3156ba119a8cba024ee4a8a65ed35360411ecf20 | 1,436 | py | Python | ai/STA/Tactic/TacticBook.py | wonwon0/RobocupStrategyIA | 891028f616d476b05b23b40924d7c99502a718e3 | [
"MIT"
] | null | null | null | ai/STA/Tactic/TacticBook.py | wonwon0/RobocupStrategyIA | 891028f616d476b05b23b40924d7c99502a718e3 | [
"MIT"
] | null | null | null | ai/STA/Tactic/TacticBook.py | wonwon0/RobocupStrategyIA | 891028f616d476b05b23b40924d7c99502a718e3 | [
"MIT"
] | null | null | null | # Under MIT License, see LICENSE.txt
from .GoGetBall import GoGetBall
from .ProtectGoal import GoalKeeper
from .GoToPosition import GoToPosition
from .RotateAroundBall import RotateAroundBall
from .Stop import Stop
from .ProtectZone import ProtectZone
from .DemoFollowBall import DemoFollowBall
from .GoToPositionNoPath... | 35.9 | 81 | 0.657382 |
eb1a483e6f1a1b05e2f46cfa1577695feece260e | 24,386 | py | Python | napari/components/add_layers_mixin.py | mrocklin/napari | b61d9ae570e30091a97b6c76e37cd95fe5b296b6 | [
"BSD-3-Clause"
] | null | null | null | napari/components/add_layers_mixin.py | mrocklin/napari | b61d9ae570e30091a97b6c76e37cd95fe5b296b6 | [
"BSD-3-Clause"
] | 1 | 2020-10-15T19:31:09.000Z | 2020-10-15T19:39:33.000Z | napari/components/add_layers_mixin.py | mrocklin/napari | b61d9ae570e30091a97b6c76e37cd95fe5b296b6 | [
"BSD-3-Clause"
] | null | null | null | import inspect
import itertools
import os
from functools import lru_cache
from logging import getLogger
from typing import Any, Dict, List, Optional, Sequence, Set, Union
from .. import layers
from ..layers.image._image_utils import guess_labels
from ..layers.utils.stack_utils import split_channels
from ..plugins.io i... | 39.91162 | 79 | 0.605429 |
398e71395fa2866d9c558fe8549a86efe6cc9dc2 | 117,126 | py | Python | salt/utils/cloud.py | jflowers84/salt | cbe1cfa4d94b1b39679f5b8a06335675152ef80e | [
"Apache-2.0",
"MIT"
] | null | null | null | salt/utils/cloud.py | jflowers84/salt | cbe1cfa4d94b1b39679f5b8a06335675152ef80e | [
"Apache-2.0",
"MIT"
] | null | null | null | salt/utils/cloud.py | jflowers84/salt | cbe1cfa4d94b1b39679f5b8a06335675152ef80e | [
"Apache-2.0",
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
'''
Utility functions for salt.cloud
'''
# Import python libs
from __future__ import absolute_import, print_function, unicode_literals
import errno
import os
import stat
import codecs
import shutil
import hashlib
import socket
import tempfile
import time
import subprocess
import multiprocessing... | 35.785518 | 123 | 0.556529 |
7fc009c5cf9eaf5f9d256357b1c7544eaa676592 | 2,088 | py | Python | src/python/merge_hospitals.py | samurai-madrid/data-processing | c8572419dbc140291afd5cc804936ee6f94d0f6a | [
"MIT"
] | 1 | 2020-09-26T21:06:59.000Z | 2020-09-26T21:06:59.000Z | src/python/merge_hospitals.py | samurai-madrid/data-processing | c8572419dbc140291afd5cc804936ee6f94d0f6a | [
"MIT"
] | null | null | null | src/python/merge_hospitals.py | samurai-madrid/data-processing | c8572419dbc140291afd5cc804936ee6f94d0f6a | [
"MIT"
] | 1 | 2020-09-26T21:07:55.000Z | 2020-09-26T21:07:55.000Z | import sys, getopt
import utils
import pandas as pd
import DatasetPaths
import yaml
KEY = 'Hospital'
COLUMNS_TO_KEEP = ['Hospital','km0_x','km0_y']
def merge_hospitals(df_samur, df_hospitals):
df_hospitals = df_hospitals[['name_orig','Hospital','hospital_x','hospital_y']]
df_samur.rename(columns={'Hospital':'Hospi... | 40.941176 | 150 | 0.728448 |
f07ba7b05f223c285b85819c70f49978e80ec184 | 6,672 | py | Python | src/modules/attenStereoNet_pac_psm.py | ccj5351/DAFStereoNets | 66b720a4abbac9097a794eacef034bab641771d9 | [
"MIT"
] | 19 | 2020-10-16T02:21:13.000Z | 2022-03-25T10:49:47.000Z | src/modules/attenStereoNet_pac_psm.py | ccj5351/DAFStereoNets | 66b720a4abbac9097a794eacef034bab641771d9 | [
"MIT"
] | null | null | null | src/modules/attenStereoNet_pac_psm.py | ccj5351/DAFStereoNets | 66b720a4abbac9097a794eacef034bab641771d9 | [
"MIT"
] | 5 | 2020-10-21T06:29:34.000Z | 2022-03-07T05:02:42.000Z | # !/usr/bin/env python3
# -*-coding:utf-8-*-
# @file: attenStereoNet_pac_psm.py
# @brief:
# @author: Changjiang Cai, ccai1@stevens.edu, caicj5351@gmail.com
# @version: 0.0.1
# @creation date: 17-12-2019
# @last modified: Sat 01 Feb 2020 07:28:24 PM EST
from __future__ import print_function
import torch
import torch.nn ... | 40.932515 | 102 | 0.569095 |
bb4ebe5f33be779eaebdc93a73339804113fc6c7 | 15,415 | py | Python | pyocd/commands/execution_context.py | Kris-b50122/pyOCD | df605c7aa04d72c5187ab652445063cc232cf378 | [
"Apache-2.0"
] | null | null | null | pyocd/commands/execution_context.py | Kris-b50122/pyOCD | df605c7aa04d72c5187ab652445063cc232cf378 | [
"Apache-2.0"
] | null | null | null | pyocd/commands/execution_context.py | Kris-b50122/pyOCD | df605c7aa04d72c5187ab652445063cc232cf378 | [
"Apache-2.0"
] | null | null | null | # pyOCD debugger
# Copyright (c) 2015-2020 Arm Limited
# SPDX-License-Identifier: Apache-2.0
#
# 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... | 37.144578 | 117 | 0.621278 |
0a25fcbbbd18544cf099ee24464178df56632234 | 1,379 | py | Python | herders/migrations/0027_auto_20210317_0522.py | Itori/swarfarm | 7192e2d8bca093b4254023bbec42b6a2b1887547 | [
"Apache-2.0"
] | 66 | 2017-09-11T04:46:00.000Z | 2021-03-13T00:02:42.000Z | herders/migrations/0027_auto_20210317_0522.py | Itori/swarfarm | 7192e2d8bca093b4254023bbec42b6a2b1887547 | [
"Apache-2.0"
] | 133 | 2017-09-24T21:28:59.000Z | 2021-04-02T10:35:31.000Z | herders/migrations/0027_auto_20210317_0522.py | Itori/swarfarm | 7192e2d8bca093b4254023bbec42b6a2b1887547 | [
"Apache-2.0"
] | 28 | 2017-08-30T19:04:32.000Z | 2020-11-16T04:09:00.000Z | # Generated by Django 2.2.17 on 2021-03-17 12:22
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('herders', '0026_auto_20210301_1052'),
]
operations = [
migrations.AddField(
model_name='artifa... | 39.4 | 165 | 0.659898 |
7be3ddd3bf202222e51862d237440739853f6555 | 2,012 | py | Python | test/bak/minimal_community_install_test.py | pmi-kbase/KBaseSynCom | 9f048011be9efefc615ee4cdfb1e86e9809a28db | [
"MIT"
] | null | null | null | test/bak/minimal_community_install_test.py | pmi-kbase/KBaseSynCom | 9f048011be9efefc615ee4cdfb1e86e9809a28db | [
"MIT"
] | null | null | null | test/bak/minimal_community_install_test.py | pmi-kbase/KBaseSynCom | 9f048011be9efefc615ee4cdfb1e86e9809a28db | [
"MIT"
] | 1 | 2022-01-25T17:28:24.000Z | 2022-01-25T17:28:24.000Z | import unittest
import logging
import sys
import os # noqa: F401
import time
import hashlib
import subprocess
import uuid
class MinimalCommunityInstallTest(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.__LOGGER = logging.getLogger('MinimalCommunityInstallTest')
cls.__LOGGER.setLe... | 35.298246 | 102 | 0.617296 |
cfc427bffb7b4a25018dce4875eb81a33ddbe987 | 9,595 | py | Python | sockeye/lr_scheduler.py | xingniu/sockeye | 130a650068dd1540231e8d15eec65f051a684f9e | [
"Apache-2.0"
] | 3 | 2019-06-03T17:29:49.000Z | 2021-07-11T05:51:53.000Z | sockeye/lr_scheduler.py | xingniu/sockeye | 130a650068dd1540231e8d15eec65f051a684f9e | [
"Apache-2.0"
] | null | null | null | sockeye/lr_scheduler.py | xingniu/sockeye | 130a650068dd1540231e8d15eec65f051a684f9e | [
"Apache-2.0"
] | 1 | 2021-07-11T05:51:54.000Z | 2021-07-11T05:51:54.000Z | # Copyright 2017--2019 Amazon.com, Inc. or its affiliates. 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. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" fi... | 42.268722 | 120 | 0.658155 |
5885aacc4aa8b1ddad824661d3b82b59b50ab61d | 8,881 | py | Python | dpg_pn/utils.py | tttslab/armos | 6003a9e90ea5ed586f8e45d7d8b872fdad58e26a | [
"MIT"
] | null | null | null | dpg_pn/utils.py | tttslab/armos | 6003a9e90ea5ed586f8e45d7d8b872fdad58e26a | [
"MIT"
] | null | null | null | dpg_pn/utils.py | tttslab/armos | 6003a9e90ea5ed586f8e45d7d8b872fdad58e26a | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
import random
import configparser
import librosa
from multiprocessing import Process
from multiprocessing import Queue
import TractSeqToWave_Func
conf = configparser.SafeConfigParser()
conf.read("config.ini")
IN_SIZE = int(conf... | 48.005405 | 160 | 0.568179 |
067ef1d222d867ac00637e863099055e69b522f0 | 165 | py | Python | TwitchClipVault/Vault/urls.py | leekcake/TwitchClipVault | c60faaf68939771f06468a8c430e0c52e9baa217 | [
"MIT"
] | null | null | null | TwitchClipVault/Vault/urls.py | leekcake/TwitchClipVault | c60faaf68939771f06468a8c430e0c52e9baa217 | [
"MIT"
] | null | null | null | TwitchClipVault/Vault/urls.py | leekcake/TwitchClipVault | c60faaf68939771f06468a8c430e0c52e9baa217 | [
"MIT"
] | null | null | null | from django.urls import path
from . import views
urlpatterns = [
path('', views.index, name='index'),
path('view/<str:videoId>', views.view, name='view')
] | 20.625 | 55 | 0.654545 |
428d4f341715c69d52176c5ac61269510511dfb6 | 99,347 | py | Python | Lib/test/test_shutil.py | umoqnier/cpython | d8ca2354ed30c12b9ce37c4535222b700a727b32 | [
"CNRI-Python-GPL-Compatible"
] | 2 | 2020-01-04T07:21:53.000Z | 2020-10-02T17:32:24.000Z | Lib/test/test_shutil.py | umoqnier/cpython | d8ca2354ed30c12b9ce37c4535222b700a727b32 | [
"CNRI-Python-GPL-Compatible"
] | null | null | null | Lib/test/test_shutil.py | umoqnier/cpython | d8ca2354ed30c12b9ce37c4535222b700a727b32 | [
"CNRI-Python-GPL-Compatible"
] | 2 | 2019-11-16T02:03:51.000Z | 2019-11-16T02:10:57.000Z | # Copyright (C) 2003 Python Software Foundation
import unittest
import unittest.mock
import shutil
import tempfile
import sys
import stat
import os
import os.path
import errno
import functools
import pathlib
import subprocess
import random
import string
import contextlib
import io
from shutil import (make_archive,
... | 39.691171 | 92 | 0.604689 |
130492c3858b4d5c23b4428dd210cfff0cf53f19 | 4,481 | py | Python | tests/test_estimators/test_demographic_parity.py | lahdjirayhan/scikit-lego | 5dd145df796c4d254cd505727c9db01484ebc39c | [
"MIT"
] | 784 | 2019-03-01T21:35:53.000Z | 2022-03-30T11:22:46.000Z | tests/test_estimators/test_demographic_parity.py | lahdjirayhan/scikit-lego | 5dd145df796c4d254cd505727c9db01484ebc39c | [
"MIT"
] | 382 | 2019-02-27T10:38:53.000Z | 2022-03-31T07:22:24.000Z | tests/test_estimators/test_demographic_parity.py | lahdjirayhan/scikit-lego | 5dd145df796c4d254cd505727c9db01484ebc39c | [
"MIT"
] | 112 | 2019-03-01T19:34:37.000Z | 2022-03-30T14:10:29.000Z | import warnings
import pytest
import numpy as np
try:
from cvxpy import SolverError
except ImportError:
pass
from sklearn.linear_model import LogisticRegression
from sklego.common import flatten
from sklego.linear_model import DemographicParityClassifier, FairClassifier
from sklego.metrics import p_percent_sc... | 30.482993 | 112 | 0.677974 |
60d69e6f9e2f265c0d30a97500e43b251f79867c | 241 | py | Python | data_collection/gazette/spiders/mg_associacao_municipios.py | Jefersonalves/diario-oficial | 9a4bdfe2e31414c993d88831a67160c49a5ee657 | [
"MIT"
] | 2 | 2020-10-16T20:06:19.000Z | 2020-10-20T01:59:30.000Z | data_collection/gazette/spiders/mg_associacao_municipios.py | Jefersonalves/diario-oficial | 9a4bdfe2e31414c993d88831a67160c49a5ee657 | [
"MIT"
] | 4 | 2021-02-10T02:36:48.000Z | 2022-03-02T14:55:34.000Z | data_collection/gazette/spiders/mg_associacao_municipios.py | Jefersonalves/diario-oficial | 9a4bdfe2e31414c993d88831a67160c49a5ee657 | [
"MIT"
] | null | null | null | from gazette.spiders.base import SigpubGazetteSpider
class MgAssociacaoMunicipiosSpider(SigpubGazetteSpider):
name = "mg_associacao_municipios"
TERRITORY_ID = "3100000"
CALENDAR_URL = "http://www.diariomunicipal.com.br/amm-mg"
| 30.125 | 61 | 0.788382 |
d78b8a31ba522378e07ebe572fea755e7708b306 | 13,230 | py | Python | jasmin/routing/Routes.py | paradiseng/jasmin | 16c54261a6a1a82db64311ee2a235f6c966c14ab | [
"Apache-2.0"
] | 750 | 2015-01-02T23:09:54.000Z | 2022-03-29T11:00:29.000Z | jasmin/routing/Routes.py | diwacreation3/jasmin | 16c54261a6a1a82db64311ee2a235f6c966c14ab | [
"Apache-2.0"
] | 806 | 2015-01-01T16:17:06.000Z | 2022-03-29T20:36:03.000Z | jasmin/routing/Routes.py | diwacreation3/jasmin | 16c54261a6a1a82db64311ee2a235f6c966c14ab | [
"Apache-2.0"
] | 509 | 2015-01-16T20:15:25.000Z | 2022-03-30T12:57:03.000Z | # pylint: disable=W0401,W0611,W0231
"""
More info: http://docs.jasminsms.com/en/latest/routing/index.html
"""
import random
from jasmin.routing.Bills import SubmitSmBill
from jasmin.routing.Filters import Filter
from jasmin.routing.Routables import Routable
from jasmin.routing.jasminApi import *
class InvalidRouteP... | 34.724409 | 108 | 0.621315 |
d7f8a47a65f25d7561c83bcc474896f4ce941ee7 | 935 | py | Python | google-sheet-api.py | blaze1522/iiserp-sem6 | 38a2aea3a82e3771099a0eedfcdd953a727f749a | [
"MIT"
] | null | null | null | google-sheet-api.py | blaze1522/iiserp-sem6 | 38a2aea3a82e3771099a0eedfcdd953a727f749a | [
"MIT"
] | 2 | 2021-02-10T11:26:31.000Z | 2021-02-11T08:27:20.000Z | google-sheet-api.py | blaze1522/iiserp-sem6 | 38a2aea3a82e3771099a0eedfcdd953a727f749a | [
"MIT"
] | 2 | 2021-02-10T09:06:30.000Z | 2021-08-07T19:02:50.000Z | import gspread
import pandas as pd
import os
# Documentation: https://gspread.readthedocs.io/en/latest/oauth2.html
# Linux: Move service_account.json to ~/.config/gspread/service_account.json
# Windows: Add %APPDATA%\gspread\service_account.json to PATH variable
gc = gspread.service_account()
#Or move servi... | 33.392857 | 81 | 0.690909 |
375a9712e990f4ef6d09113dd86ee2a9b6482946 | 3,921 | py | Python | zcommon/shell.py | LamaAni/zcommon.py | 4d2df1d431638edc439fff09981a0458c3a8dea8 | [
"MIT"
] | null | null | null | zcommon/shell.py | LamaAni/zcommon.py | 4d2df1d431638edc439fff09981a0458c3a8dea8 | [
"MIT"
] | null | null | null | zcommon/shell.py | LamaAni/zcommon.py | 4d2df1d431638edc439fff09981a0458c3a8dea8 | [
"MIT"
] | null | null | null | import os
import sys
import logging
from typing import List
from enum import Enum
try:
import colorama
colorama.init()
except Exception:
pass
class OS_SIMPLE_TYPES(Enum):
windows = "windows"
linux = "linux"
mac = "mac"
other = "other"
OS_TYPE: OS_SIMPLE_TYPES = OS_SIMPLE_TYPES.other
i... | 28.208633 | 114 | 0.624586 |
9ec87809cc0a9358d98c31876fc29dfd335dc53c | 388 | py | Python | pyfe/context.py | sparkingdark/PyFE | 2a437f1043826c8b76231196306a96f9629a0e9b | [
"Apache-2.0"
] | 37 | 2020-05-22T15:24:48.000Z | 2021-12-07T16:47:43.000Z | pyfe/context.py | sparkingdark/PyFE | 2a437f1043826c8b76231196306a96f9629a0e9b | [
"Apache-2.0"
] | 3 | 2020-06-09T10:30:28.000Z | 2021-09-12T14:04:37.000Z | pyfe/context.py | sparkingdark/PyFE | 2a437f1043826c8b76231196306a96f9629a0e9b | [
"Apache-2.0"
] | 5 | 2020-05-26T15:26:14.000Z | 2021-08-23T15:17:56.000Z | from charm.toolbox.pairinggroup import G1
from charm.toolbox.pairinggroup import G2
from charm.toolbox.pairinggroup import PairingGroup
from charm.toolbox.pairinggroup import pair
class Context:
def __init__(self):
self.group = PairingGroup('MNT159')
self.g1 = self.group.random(G1)
self.g... | 25.866667 | 51 | 0.716495 |
ec119a49ae5810dae090d71cacafc6a34db7dc1c | 4,439 | py | Python | quex/engine/state_machine/check/tail.py | Liby99/quex | 45f3d21d5df3307376e175cca2d8473e26cb5622 | [
"MIT"
] | null | null | null | quex/engine/state_machine/check/tail.py | Liby99/quex | 45f3d21d5df3307376e175cca2d8473e26cb5622 | [
"MIT"
] | 1 | 2022-01-31T18:08:44.000Z | 2022-01-31T18:08:44.000Z | quex/engine/state_machine/check/tail.py | Liby99/quex | 45f3d21d5df3307376e175cca2d8473e26cb5622 | [
"MIT"
] | null | null | null | # Project Quex (http://quex.sourceforge.net); License: MIT;
# (C) 2005-2020 Frank-Rene Schaefer;
#_______________________________________________________________________________
"""PURPOSE:
Given two state machines A and T, determine whether A ends with T.
"""
import quex.engine.state_machine.check.outrun ... | 39.990991 | 83 | 0.623113 |
58ba25256ef7160140001b4bea776928b7455a3c | 9,513 | py | Python | InfoField.py | tyomies123/asteroid-game | aa2b198fc6da88d3c988edec52cef372f893ae4d | [
"MIT"
] | 1 | 2019-12-17T18:42:20.000Z | 2019-12-17T18:42:20.000Z | InfoField.py | tyomies123/asteroid-game | aa2b198fc6da88d3c988edec52cef372f893ae4d | [
"MIT"
] | null | null | null | InfoField.py | tyomies123/asteroid-game | aa2b198fc6da88d3c988edec52cef372f893ae4d | [
"MIT"
] | null | null | null | import pygame
from Boundary import Boundary
from DisplayObject import DisplayObject
#Creating numbers to display player ammo, hp and enemy hp
class NumberFactory():
def __init__(self):
self.numbers = {'0':'assets/zero.png', '1':'assets/one.png', '2' :'assets/two.png', '3':'assets/three.png',
... | 38.51417 | 126 | 0.582676 |
01d264ec393aea159c76a34caeadb7c5bd885b1e | 574 | py | Python | ledpi_controller/yaml_processor.py | muhlba91/ledpi-controller | 5cb8bdd40b4fc26a8c9bfb7b3394b6b53e60780b | [
"MIT"
] | 1 | 2021-01-23T12:40:34.000Z | 2021-01-23T12:40:34.000Z | ledpi_controller/yaml_processor.py | muhlba91/ledpi-controller | 5cb8bdd40b4fc26a8c9bfb7b3394b6b53e60780b | [
"MIT"
] | 3 | 2021-01-08T09:55:51.000Z | 2021-05-13T08:39:13.000Z | ledpi_controller/yaml_processor.py | muhlba91/ledpi-controller | 5cb8bdd40b4fc26a8c9bfb7b3394b6b53e60780b | [
"MIT"
] | null | null | null | """YAML reader and writer."""
import yaml
from ledpi_controller.state import State
class YamlProcessor:
def __init__(self, file):
self.file = file
def load(self):
with open(self.file) as stream:
return yaml.unsafe_load(stream)
def write(self, doc):
with open(self.fi... | 21.259259 | 55 | 0.618467 |
5dbacf0e7319f9ce36ea5101deb9efb91909d19c | 2,094 | py | Python | compiler/modules/hierarchical_predecode2x4.py | panicmarvin/OpenRAM | abf47bab50adb48337c59b72ccd6023c1999f3fc | [
"BSD-3-Clause"
] | null | null | null | compiler/modules/hierarchical_predecode2x4.py | panicmarvin/OpenRAM | abf47bab50adb48337c59b72ccd6023c1999f3fc | [
"BSD-3-Clause"
] | null | null | null | compiler/modules/hierarchical_predecode2x4.py | panicmarvin/OpenRAM | abf47bab50adb48337c59b72ccd6023c1999f3fc | [
"BSD-3-Clause"
] | 1 | 2020-01-23T07:12:52.000Z | 2020-01-23T07:12:52.000Z | from tech import drc
import debug
import design
from vector import vector
from hierarchical_predecode import hierarchical_predecode
class hierarchical_predecode2x4(hierarchical_predecode):
"""
Pre 2x4 decoder used in hierarchical_decoder.
"""
def __init__(self):
hierarchical_predecode.__init__(... | 34.327869 | 99 | 0.56829 |
6c04876685227a179a01f42de39c1d4cf314d94a | 1,913 | py | Python | molpy/molpy.py | Lihua1990/molpy | b4284fdc06ced9429f67f540a7e383c23415a6dc | [
"MIT"
] | 1 | 2020-03-11T10:46:48.000Z | 2020-03-11T10:46:48.000Z | molpy/molpy.py | Lihua1990/molpy | b4284fdc06ced9429f67f540a7e383c23415a6dc | [
"MIT"
] | 3 | 2020-02-12T14:59:39.000Z | 2020-02-13T17:34:13.000Z | molpy/molpy.py | Lihua1990/molpy | b4284fdc06ced9429f67f540a7e383c23415a6dc | [
"MIT"
] | null | null | null | """
molpy.py
A really cool molecule manipulation package.
Handles the primary functions
"""
from .util import distance
import numpy as np
def canvas(with_attribution=True):
"""
Placeholder function to show example docstring (NumPy format)
Replace this function and doc string for your own project
Par... | 24.844156 | 74 | 0.658651 |
32f024e0e298cb7d08a18c693dc4be6193e4059c | 22,354 | py | Python | src/azure-cli/azure/cli/command_modules/acs/_params.py | bim-msft/azure-cli | c673f94fdef812f6cbd46118b62584d3169d1d38 | [
"MIT"
] | 1 | 2020-11-29T19:26:37.000Z | 2020-11-29T19:26:37.000Z | src/azure-cli/azure/cli/command_modules/acs/_params.py | bim-msft/azure-cli | c673f94fdef812f6cbd46118b62584d3169d1d38 | [
"MIT"
] | 2 | 2021-01-15T09:24:07.000Z | 2021-01-15T09:30:10.000Z | src/azure-cli/azure/cli/command_modules/acs/_params.py | bim-msft/azure-cli | c673f94fdef812f6cbd46118b62584d3169d1d38 | [
"MIT"
] | null | null | null | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | 63.68661 | 203 | 0.695625 |
75bbaa25e281f230fb9622ccebcf399e6f7b4b1c | 5,192 | py | Python | kashgari/embeddings/word_embedding.py | ericperfect/Bert_Position_BiLSTM_Attention_CRF_LSTMDecoder | 6c38d25572612ffc74c9c35c3e9c7382deca334c | [
"Apache-2.0"
] | 16 | 2020-12-02T13:44:20.000Z | 2022-03-16T00:49:34.000Z | kashgari/embeddings/word_embedding.py | ericperfect/Bert_Position_BiLSTM_Attention_CRF_LSTMDecoder | 6c38d25572612ffc74c9c35c3e9c7382deca334c | [
"Apache-2.0"
] | 1 | 2022-01-11T08:14:05.000Z | 2022-02-25T09:29:17.000Z | kashgari/embeddings/word_embedding.py | ericperfect/Bert_Position_BiLSTM_Attention_CRF_LSTMDecoder | 6c38d25572612ffc74c9c35c3e9c7382deca334c | [
"Apache-2.0"
] | 3 | 2021-06-18T00:00:58.000Z | 2022-03-26T11:35:24.000Z | # encoding: utf-8
# author: BrikerMan
# contact: eliyar917@gmail.com
# blog: https://eliyar.biz
# file: w2v_embedding.py
# time: 2019-05-20 17:32
import logging
from typing import Union, Optional, Dict, Any, List, Tuple
import numpy as np
from gensim.models import KeyedVectors
from tensorflow import keras
from kas... | 37.352518 | 119 | 0.565678 |
4c691151fd07b1b90dedbc0d9906cc4cf3bf2f45 | 10,208 | py | Python | neutron/tests/unit/test_agent_netns_cleanup.py | petrutlucian94/neutron | 44976d12bbe72331e536d92bb46e35a8835a75ce | [
"Apache-2.0"
] | 1 | 2016-04-23T21:33:31.000Z | 2016-04-23T21:33:31.000Z | neutron/tests/unit/test_agent_netns_cleanup.py | petrutlucian94/neutron | 44976d12bbe72331e536d92bb46e35a8835a75ce | [
"Apache-2.0"
] | null | null | null | neutron/tests/unit/test_agent_netns_cleanup.py | petrutlucian94/neutron | 44976d12bbe72331e536d92bb46e35a8835a75ce | [
"Apache-2.0"
] | 4 | 2015-04-14T10:06:51.000Z | 2019-10-02T01:28:34.000Z | # vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright (c) 2012 OpenStack Foundation.
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.... | 40.031373 | 79 | 0.596199 |
a24197bdc12551f74b204be6c69eb5c06250bbfd | 1,708 | py | Python | dreamplace/ops/fence_region/figures.py | Eternity666/DREAMPlace | f694cddc39486e3ef2d5ae36431d8b21d1c397bd | [
"BSD-3-Clause"
] | 323 | 2019-02-28T10:09:53.000Z | 2022-03-24T04:00:01.000Z | dreamplace/ops/fence_region/figures.py | Eternity666/DREAMPlace | f694cddc39486e3ef2d5ae36431d8b21d1c397bd | [
"BSD-3-Clause"
] | 61 | 2019-06-10T08:47:09.000Z | 2022-03-31T13:38:18.000Z | dreamplace/ops/fence_region/figures.py | Eternity666/DREAMPlace | f694cddc39486e3ef2d5ae36431d8b21d1c397bd | [
"BSD-3-Clause"
] | 109 | 2019-03-22T17:32:16.000Z | 2022-03-26T14:31:05.000Z | from math import sqrt
from shapely import affinity
GM = (sqrt(5) - 1.0) / 2.0
W = 8.0
H = W * GM
SIZE = (W, H)
BLUE = "#6699cc"
GRAY = "#999999"
DARKGRAY = "#333333"
YELLOW = "#ffcc33"
GREEN = "#339933"
RED = "#ff3333"
BLACK = "#000000"
COLOR_ISVALID = {
True: BLUE,
False: RED,
}
def plot_line(ax, ob, colo... | 23.081081 | 103 | 0.62822 |
4b578a72282cccc67d98179b009bf7c28e0030db | 86,398 | py | Python | tests/test_utils/test_box3d.py | konyul/monovideo | f50db55c324c2ab4a66d414b47f0558b72a3a009 | [
"Apache-2.0"
] | 5 | 2022-01-26T13:03:12.000Z | 2022-01-27T03:59:09.000Z | tests/test_utils/test_box3d.py | konyul/monovideo | f50db55c324c2ab4a66d414b47f0558b72a3a009 | [
"Apache-2.0"
] | 1 | 2022-03-31T08:33:12.000Z | 2022-03-31T08:35:55.000Z | tests/test_utils/test_box3d.py | konyul/monovideo | f50db55c324c2ab4a66d414b47f0558b72a3a009 | [
"Apache-2.0"
] | 1 | 2022-03-30T04:08:39.000Z | 2022-03-30T04:08:39.000Z | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import pytest
import torch
import unittest
from mmdet3d.core.bbox import (BaseInstance3DBoxes, Box3DMode,
CameraInstance3DBoxes, Coord3DMode,
DepthInstance3DBoxes, LiDARInstance3DBoxes,
... | 48.105791 | 79 | 0.486122 |
f9414fa3c9430d5a01340b2642f8ee129162b91b | 1,039 | py | Python | dynamic_storages/tests/fields/test_dynamic_storage_fields.py | mcclory/django-dynamic-storages | 3e7be3cf1b53faa20c8f52ed29384aed23fa5fd0 | [
"BSD-3-Clause"
] | 2 | 2021-03-06T03:13:21.000Z | 2021-03-06T15:02:31.000Z | dynamic_storages/tests/fields/test_dynamic_storage_fields.py | mcclory/django-dynamic-storages | 3e7be3cf1b53faa20c8f52ed29384aed23fa5fd0 | [
"BSD-3-Clause"
] | null | null | null | dynamic_storages/tests/fields/test_dynamic_storage_fields.py | mcclory/django-dynamic-storages | 3e7be3cf1b53faa20c8f52ed29384aed23fa5fd0 | [
"BSD-3-Clause"
] | null | null | null | import glob
import os
import random
from django.core.management.utils import get_random_secret_key
from test_plus.test import TestCase
from .. import TEST_FILES_DIR, TEST_IMAGES_DIR
from ..factories import TestFileStorageModelFactory, TestImageStorageModelFactory
from ..models import TestFileStorageModel, TestImageSt... | 28.861111 | 81 | 0.712223 |
db6dfa26311c6c35be436904d176504d76f42fd7 | 767 | py | Python | daktari/os.py | sonocent/daktari | 41528a87ce83305bef5acd86df7705fd96535113 | [
"MIT"
] | 1 | 2022-01-27T15:38:08.000Z | 2022-01-27T15:38:08.000Z | daktari/os.py | sonocent/daktari | 41528a87ce83305bef5acd86df7705fd96535113 | [
"MIT"
] | 7 | 2021-05-18T09:45:02.000Z | 2021-12-06T17:26:57.000Z | daktari/os.py | sonocent/daktari | 41528a87ce83305bef5acd86df7705fd96535113 | [
"MIT"
] | null | null | null | import logging
from os import environ
import distro
class OS:
OS_X = "osx"
GENERIC = "generic"
UBUNTU = "ubuntu"
def detect_os() -> str:
(id_name, _, _) = distro.linux_distribution()
if id_name == "Darwin":
return OS.OS_X
elif id_name == "Ubuntu":
return OS.UBUNTU
else:
... | 20.72973 | 67 | 0.629726 |
ff561ddbf0e37afad1b4ed69c49b4c46a03dce26 | 5,927 | py | Python | src/quicknlp/models/cvae.py | jalajthanaki/quick-nlp | 861a54c9e30de076a2316cb6712d934de4058cc5 | [
"MIT"
] | 287 | 2018-04-10T10:58:09.000Z | 2022-03-22T02:05:40.000Z | src/quicknlp/models/cvae.py | scutcyr/quick-nlp | 861a54c9e30de076a2316cb6712d934de4058cc5 | [
"MIT"
] | 1 | 2018-07-03T17:10:03.000Z | 2018-07-03T17:10:03.000Z | src/quicknlp/models/cvae.py | scutcyr/quick-nlp | 861a54c9e30de076a2316cb6712d934de4058cc5 | [
"MIT"
] | 51 | 2018-04-10T11:38:02.000Z | 2021-10-17T06:23:43.000Z | from typing import List, Union
import torch
import torch.nn as nn
from fastai.core import V, to_gpu
from quicknlp.utils import assert_dims, concat_bidir_state
from .hred import HRED
HParam = Union[List[int], int]
class CVAE(HRED):
"""Basic CVAE model see:
T. Zhao, R. Zhao, and M. Eskenazi, “Learning Discou... | 55.392523 | 180 | 0.626118 |
c8efed3e79232b9516d7cc9ae932653eb4f75e46 | 6,780 | py | Python | LAB2/search.py | Yalfoosh/UI-Labosi | 6c8f5796cafe603012ae94b9bd2adf4642c6a1e2 | [
"Apache-2.0"
] | null | null | null | LAB2/search.py | Yalfoosh/UI-Labosi | 6c8f5796cafe603012ae94b9bd2adf4642c6a1e2 | [
"Apache-2.0"
] | null | null | null | LAB2/search.py | Yalfoosh/UI-Labosi | 6c8f5796cafe603012ae94b9bd2adf4642c6a1e2 | [
"Apache-2.0"
] | 3 | 2018-03-26T13:40:24.000Z | 2019-06-07T14:02:26.000Z | import util
import copy
from util import Queue
from game import Directions
from game import Agent
from game import Actions
class SearchNode:
"""
This class represents a node in the graph which represents the search problem.
"""
def __init__(self, position, parent=None, transition=None, cost=0, heuris... | 33.564356 | 107 | 0.629056 |
c3e4286d0adb48d3480fbad791ca4095e9bbbefa | 7,317 | py | Python | test/ibm/test_filter_backends.py | daka1510/qiskit-ibm-provider | 74fdae4457e6f15ba445a8742a25ac7a714ea51b | [
"Apache-2.0"
] | null | null | null | test/ibm/test_filter_backends.py | daka1510/qiskit-ibm-provider | 74fdae4457e6f15ba445a8742a25ac7a714ea51b | [
"Apache-2.0"
] | null | null | null | test/ibm/test_filter_backends.py | daka1510/qiskit-ibm-provider | 74fdae4457e6f15ba445a8742a25ac7a714ea51b | [
"Apache-2.0"
] | null | null | null | # This code is part of Qiskit.
#
# (C) Copyright IBM 2021.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or derivative wo... | 36.954545 | 85 | 0.620473 |
3a6c737c69972a0d3ec2697b0c807170c6786cc6 | 528 | py | Python | blog/urls.py | TeeblaQ1/zuriblogapp | dd3759358deee2169fadc1c900a98a8dcac03adc | [
"MIT"
] | null | null | null | blog/urls.py | TeeblaQ1/zuriblogapp | dd3759358deee2169fadc1c900a98a8dcac03adc | [
"MIT"
] | null | null | null | blog/urls.py | TeeblaQ1/zuriblogapp | dd3759358deee2169fadc1c900a98a8dcac03adc | [
"MIT"
] | null | null | null | from django.urls import path
from .views import BlogListView, BlogCreateView, BlogUpdateView, BlogDeleteView, postDetailView
urlpatterns = [
path('', BlogListView.as_view(), name='home'),
#path('post/<int:pk>', BlogDetailView.as_view(), name='detail'),
path('post/<int:pk>', postDetailView, name='detail'),
... | 44 | 95 | 0.691288 |
8f8d0a100280505d76de69ac794099396de17a02 | 8,572 | py | Python | sdk/python/pulumi_aws/ebs/snapshot.py | mdop-wh/pulumi-aws | 05bb32e9d694dde1c3b76d440fd2cd0344d23376 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_aws/ebs/snapshot.py | mdop-wh/pulumi-aws | 05bb32e9d694dde1c3b76d440fd2cd0344d23376 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_aws/ebs/snapshot.py | mdop-wh/pulumi-aws | 05bb32e9d694dde1c3b76d440fd2cd0344d23376 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Dict, List, Mapping, Optional, Tuple, Union
from .. import ... | 38.78733 | 145 | 0.616776 |
a3d2723d7d7532ea6a79a48373f71eaa14200f09 | 2,490 | py | Python | sql-cli/tests/test_opensearchsql_cli.py | amarouane-ABDELHAK/sql | 2bacfca74d5fb15a7dc3a78e138cb19ad4c8fe40 | [
"Apache-2.0"
] | null | null | null | sql-cli/tests/test_opensearchsql_cli.py | amarouane-ABDELHAK/sql | 2bacfca74d5fb15a7dc3a78e138cb19ad4c8fe40 | [
"Apache-2.0"
] | null | null | null | sql-cli/tests/test_opensearchsql_cli.py | amarouane-ABDELHAK/sql | 2bacfca74d5fb15a7dc3a78e138cb19ad4c8fe40 | [
"Apache-2.0"
] | null | null | null | """
Copyright OpenSearch Contributors
SPDX-License-Identifier: Apache-2.0
"""
import mock
import pytest
from prompt_toolkit.shortcuts import PromptSession
from prompt_toolkit.input.defaults import create_pipe_input
from src.opensearch_sql_cli.opensearch_buffer import opensearch_is_multiline
from .utils import estest,... | 37.164179 | 132 | 0.704016 |
51289e0c67dc081a7864914957a2a0dc296da9f9 | 11,200 | py | Python | Ch06_Code/GUI_queues_put_get.py | arifmudi/Python-GUI-Programming-Cookbook-Third-Edition | 942c151a62ef422bb6fdd15b4b141a07c699cb9a | [
"MIT"
] | 68 | 2019-08-23T10:54:38.000Z | 2022-03-09T20:21:39.000Z | Ch06_Code/GUI_queues_put_get.py | arifmudi/Python-GUI-Programming-Cookbook-Third-Edition | 942c151a62ef422bb6fdd15b4b141a07c699cb9a | [
"MIT"
] | null | null | null | Ch06_Code/GUI_queues_put_get.py | arifmudi/Python-GUI-Programming-Cookbook-Third-Edition | 942c151a62ef422bb6fdd15b4b141a07c699cb9a | [
"MIT"
] | 46 | 2019-09-03T18:04:29.000Z | 2022-03-30T01:06:52.000Z | '''
Created on May 28, 2019
Ch06
@author: Burkhard A. Meier
'''
#======================
# imports
#======================
import tkinter as tk
from tkinter import ttk
from tkinter import scrolledtext
from tkinter import Menu
from tkinter import messagebox as msg
from tkinter import Spinbox
from time impor... | 41.481481 | 135 | 0.540268 |
e94309cb7dbfd72122e8a71de882bfe8b6d1a4ee | 800 | py | Python | src/noise.py | quangduyhcmut/Simple_Image_ProcessinUIg_G | 546bf33ee4ad0904594dfe702e7c864472c617bc | [
"MIT"
] | null | null | null | src/noise.py | quangduyhcmut/Simple_Image_ProcessinUIg_G | 546bf33ee4ad0904594dfe702e7c864472c617bc | [
"MIT"
] | null | null | null | src/noise.py | quangduyhcmut/Simple_Image_ProcessinUIg_G | 546bf33ee4ad0904594dfe702e7c864472c617bc | [
"MIT"
] | null | null | null | import cv2
import numpy as np
from skimage.util import random_noise
# Load the image
img = cv2.imread("input/Lenna.png")
# Add salt-and-pepper noise to the image.
noise_img = random_noise(img, mode='s&p',amount=0.3)
# The above function returns a floating-point image
# on the range [0, 1], thus we changed it to '... | 29.62963 | 68 | 0.75125 |
7f7d9b7ea377a792bc7e1c3099f4b38f9e2cdc6c | 10,500 | py | Python | tools/build_travis.py | Eric-Yang-China/core | 26e9aa4b4e79a589c579a4880f0fbb36343d4100 | [
"Apache-2.0"
] | null | null | null | tools/build_travis.py | Eric-Yang-China/core | 26e9aa4b4e79a589c579a4880f0fbb36343d4100 | [
"Apache-2.0"
] | null | null | null | tools/build_travis.py | Eric-Yang-China/core | 26e9aa4b4e79a589c579a4880f0fbb36343d4100 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python2
"""
Travis-CI build script
mbed SDK
Copyright (c) 2011-2013 ARM Limited
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
Unle... | 56.756757 | 151 | 0.521143 |
b8fb32d8bbd66f2ce6c52058c1b4fea0c623bab7 | 6,392 | py | Python | BeMAp_package/alignment/make_target_centered.py | yusuketsuda/BeMAp | b64608730e5a819f83170e34c72a7b3d609ff12c | [
"MIT"
] | null | null | null | BeMAp_package/alignment/make_target_centered.py | yusuketsuda/BeMAp | b64608730e5a819f83170e34c72a7b3d609ff12c | [
"MIT"
] | null | null | null | BeMAp_package/alignment/make_target_centered.py | yusuketsuda/BeMAp | b64608730e5a819f83170e34c72a7b3d609ff12c | [
"MIT"
] | null | null | null | from Bio import SeqIO
import pandas as pd
import numpy as np
import math
import re
import os
def invert_new(pdDataFrame, No_genes, pd_column_index, gene_description):
pdDataFrame_dict = pdDataFrame.to_dict()
new_pdDataFrame_dict = {}
for i in No_genes.index:
new_pdDataFrame_dict[i] = list(pdDataFr... | 43.482993 | 142 | 0.629537 |
407a9244e727197497bf01ebcc8c36a1738cb867 | 2,613 | py | Python | test/test_chain.py | micetti/TweetsOnBlocks | e9355a0d35c0bfe1755d80fc64ae2d781c762e30 | [
"MIT"
] | null | null | null | test/test_chain.py | micetti/TweetsOnBlocks | e9355a0d35c0bfe1755d80fc64ae2d781c762e30 | [
"MIT"
] | null | null | null | test/test_chain.py | micetti/TweetsOnBlocks | e9355a0d35c0bfe1755d80fc64ae2d781c762e30 | [
"MIT"
] | null | null | null | from blockchain.chain import Chain
from blockchain.block import Block
class TestChain:
def test_chain_constructor(self):
test_chain = Chain()
assert len(test_chain.chain) == 1
assert type(test_chain.get_latest_block()) == Block
assert test_chain.get_latest_block().data == 'first Bl... | 31.107143 | 69 | 0.667432 |
802cc2e89354c42324a89144bc4f24ad1a134ed4 | 6,729 | py | Python | onnxruntime/test/testdata/transform/fusion/matmul_scale_gen.py | smkarlap/onnxruntime | 417929b049829c44bcd59c0d0eae7ae6c71ab111 | [
"MIT"
] | 1 | 2022-03-11T18:47:48.000Z | 2022-03-11T18:47:48.000Z | onnxruntime/test/testdata/transform/fusion/matmul_scale_gen.py | Nifury/onnxruntime | 7871c4b16f33634d83ef8b3e3f25ae80e9ec0f26 | [
"MIT"
] | null | null | null | onnxruntime/test/testdata/transform/fusion/matmul_scale_gen.py | Nifury/onnxruntime | 7871c4b16f33634d83ef8b3e3f25ae80e9ec0f26 | [
"MIT"
] | null | null | null | import onnx
from onnx import helper
from onnx import TensorProto
from onnx import OperatorSetIdProto
onnxdomain = OperatorSetIdProto()
onnxdomain.version = 12
# The empty string ("") or absence of this field implies the operator set that is defined as part of the ONNX specification.
onnxdomain.domain = ""
msdomain = ... | 30.447964 | 124 | 0.622975 |
f2da688c3f79a83f6f1258d4ece76d43e48e4bfb | 871 | py | Python | api/views.py | ahasan09/drf_shoestore | 3e8ba29f48dc968c36fae29184f370f1f89385f6 | [
"MIT"
] | null | null | null | api/views.py | ahasan09/drf_shoestore | 3e8ba29f48dc968c36fae29184f370f1f89385f6 | [
"MIT"
] | null | null | null | api/views.py | ahasan09/drf_shoestore | 3e8ba29f48dc968c36fae29184f370f1f89385f6 | [
"MIT"
] | null | null | null | from rest_framework import viewsets
from django.shortcuts import render
from .serializer import ShoeSerializer, ShoeTypeSerializer, ShoeColorSerializer, ManufacturerSerializer
from .models import Shoe, ShoeType, ShoeColor, Manufacturer
# Create your views here.
def index(request):
return render(request, 'index.h... | 28.096774 | 103 | 0.789897 |
e5a3385c7e8cb3c9fe56c26bf4413655dacd9574 | 2,921 | py | Python | internals/approval_defs.py | Acidburn0zzz/chromium-dashboard | dabcfb780f28c2d81f55b7bfc8df3cf77f22ec7d | [
"Apache-2.0"
] | 2 | 2016-07-03T21:00:15.000Z | 2021-04-16T07:53:50.000Z | internals/approval_defs.py | FarhanAliRaza/chromium-dashboard | dabcfb780f28c2d81f55b7bfc8df3cf77f22ec7d | [
"Apache-2.0"
] | null | null | null | internals/approval_defs.py | FarhanAliRaza/chromium-dashboard | dabcfb780f28c2d81f55b7bfc8df3cf77f22ec7d | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2021 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License")
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | 28.920792 | 74 | 0.725094 |
79da2f9d080a212e1343dab6176e0f13ab95078b | 512 | py | Python | hackerrank/Python/Integers Come In All Sizes/test.py | ATrain951/01.python-com_Qproject | c164dd093954d006538020bdf2e59e716b24d67c | [
"MIT"
] | 4 | 2020-07-24T01:59:50.000Z | 2021-07-24T15:14:08.000Z | hackerrank/Python/Integers Come In All Sizes/test.py | ATrain951/01.python-com_Qproject | c164dd093954d006538020bdf2e59e716b24d67c | [
"MIT"
] | null | null | null | hackerrank/Python/Integers Come In All Sizes/test.py | ATrain951/01.python-com_Qproject | c164dd093954d006538020bdf2e59e716b24d67c | [
"MIT"
] | null | null | null | import io
import unittest
from contextlib import redirect_stdout
from unittest.mock import patch
class TestQ(unittest.TestCase):
@patch('builtins.input', side_effect=[
'9',
'29',
'7',
'27',
])
def test_case_0(self, input_mock=None):
text_trap = io.StringIO()
... | 22.26087 | 80 | 0.642578 |
69a86b461aff4417a8820f6ea0a8b8fdd652e8b6 | 8,692 | py | Python | mr_reduction/mr_direct_beam_finder.py | mdoucet/MagnetismReflectometer | f5e25682ce95ff4e8799627ad8ff01583d0d3990 | [
"Apache-2.0"
] | null | null | null | mr_reduction/mr_direct_beam_finder.py | mdoucet/MagnetismReflectometer | f5e25682ce95ff4e8799627ad8ff01583d0d3990 | [
"Apache-2.0"
] | 1 | 2020-05-28T14:24:14.000Z | 2020-05-28T14:24:14.000Z | mr_reduction/mr_direct_beam_finder.py | mdoucet/MagnetismReflectometer | f5e25682ce95ff4e8799627ad8ff01583d0d3990 | [
"Apache-2.0"
] | null | null | null | #pylint: disable=bare-except, invalid-name, too-many-nested-blocks, too-many-arguments, too-many-instance-attributes, too-many-locals, too-few-public-methods
"""
Find a suitable direct beam file for a data set.
"""
from __future__ import (absolute_import, division, print_function)
import sys
import json
import math... | 46.983784 | 157 | 0.514266 |
a0f4d89914ef72109da888e3354f7264315b66f3 | 188 | py | Python | Curso/ExMundo1/Ex006DobroTriploRaizQ.py | DavidBitner/Aprendizado-Python | e1dcf18f9473c697fc2302f34a2d3e025ca6c969 | [
"MIT"
] | null | null | null | Curso/ExMundo1/Ex006DobroTriploRaizQ.py | DavidBitner/Aprendizado-Python | e1dcf18f9473c697fc2302f34a2d3e025ca6c969 | [
"MIT"
] | null | null | null | Curso/ExMundo1/Ex006DobroTriploRaizQ.py | DavidBitner/Aprendizado-Python | e1dcf18f9473c697fc2302f34a2d3e025ca6c969 | [
"MIT"
] | null | null | null | n = int(input('Digite um numero:'))
print('O dobro do numero é: {}!'.format(n*2))
print('O triplo do numero é: {}!'.format(n*3))
print('A raiz quadrada do numero é: {}!'.format(n**(1/2)))
| 37.6 | 58 | 0.617021 |
6c56a5776dd567bd25d3d3c1adeb6a609d474a66 | 10,931 | py | Python | src/oci/license_manager/models/create_license_record_details.py | pabs3/oci-python-sdk | 437ba18ce39af2d1090e277c4bb8750c89f83021 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | src/oci/license_manager/models/create_license_record_details.py | pabs3/oci-python-sdk | 437ba18ce39af2d1090e277c4bb8750c89f83021 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | src/oci/license_manager/models/create_license_record_details.py | pabs3/oci-python-sdk | 437ba18ce39af2d1090e277c4bb8750c89f83021 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | # coding: utf-8
# Copyright (c) 2016, 2022, Oracle and/or its affiliates. All rights reserved.
# This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may c... | 32.055718 | 245 | 0.64898 |
89f040bf8547c56db424411ceee615bb3bb6f7a5 | 1,013 | py | Python | myapp/models.py | coderrohanpahwa/events | fa3180de0f8214955bc075a305612103d532eefd | [
"MIT"
] | null | null | null | myapp/models.py | coderrohanpahwa/events | fa3180de0f8214955bc075a305612103d532eefd | [
"MIT"
] | null | null | null | myapp/models.py | coderrohanpahwa/events | fa3180de0f8214955bc075a305612103d532eefd | [
"MIT"
] | null | null | null | from django.db import models
# Create your models here.
class DetailsOfEvent(models.Model):
name=models.CharField(max_length=100)
description=models.TextField()
date=models.DateField()
def __str__(self):
return self.name
choices=(
("Organise","organise"),
("Attend","Attend"),
("Spo... | 29.794118 | 61 | 0.711747 |
20a8b422823177cb6f6dbf205e46e4474a4babe2 | 403 | py | Python | simple-ui/web_app.py | ankitshaw/Question-Answering-System | 38b64799526c02af580e768a3989771ab05e2f81 | [
"MIT"
] | null | null | null | simple-ui/web_app.py | ankitshaw/Question-Answering-System | 38b64799526c02af580e768a3989771ab05e2f81 | [
"MIT"
] | null | null | null | simple-ui/web_app.py | ankitshaw/Question-Answering-System | 38b64799526c02af580e768a3989771ab05e2f81 | [
"MIT"
] | null | null | null | """Main module for the streamlit app"""
import streamlit as st
import pages.upload
import pages.search
PAGES = {
"Search": pages.search,
"Upload": pages.upload,
}
def main():
"""Main function of the App"""
st.sidebar.title("Navigation")
selection = st.sidebar.radio("Go to", list(PAGES.keys()))
... | 18.318182 | 61 | 0.645161 |
f175e6d707da7ca4f962909d5b28bf9345f21471 | 14,215 | py | Python | tests/oauth1/rfc5849/endpoints/test_base.py | kdazzle/oauthlib | b1a902c822c869da8a465e4fe472bd29075fc7a9 | [
"BSD-3-Clause"
] | null | null | null | tests/oauth1/rfc5849/endpoints/test_base.py | kdazzle/oauthlib | b1a902c822c869da8a465e4fe472bd29075fc7a9 | [
"BSD-3-Clause"
] | null | null | null | tests/oauth1/rfc5849/endpoints/test_base.py | kdazzle/oauthlib | b1a902c822c869da8a465e4fe472bd29075fc7a9 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import unicode_literals, absolute_import
from mock import MagicMock
from re import sub
from ....unittest import TestCase
from oauthlib.common import safe_string_equals
from oauthlib.oauth1 import Client, RequestValidator
from oauthlib.oauth1.rfc5849 import errors, SIGNATURE_RSA, SIGNATURE_HMAC
from oa... | 39.706704 | 88 | 0.623145 |
d9772733c613d0d881cea43eee55a1234f8b9fa7 | 1,790 | py | Python | billing/models/amazon_fps_models.py | litchfield/merchant | e4fba8a88a326bbde39c26e937c17d5283817320 | [
"BSD-3-Clause"
] | null | null | null | billing/models/amazon_fps_models.py | litchfield/merchant | e4fba8a88a326bbde39c26e937c17d5283817320 | [
"BSD-3-Clause"
] | null | null | null | billing/models/amazon_fps_models.py | litchfield/merchant | e4fba8a88a326bbde39c26e937c17d5283817320 | [
"BSD-3-Clause"
] | null | null | null | from django.db import models
class AmazonFPSResponse(models.Model):
""" See This doc for a list of fields available, and what they mean.
http://docs.aws.amazon.com/AmazonFPS/latest/FPSAPIReference/AWSFPSIPNDetails.html """
buyerEmail = models.EmailField()
buyerName = models.CharField(max_length=75)
... | 45.897436 | 89 | 0.743017 |
f576648837b3641a368a50270e538e64d7099c56 | 900 | py | Python | step1_choose_center.py | JunchuangYang/DensityPeakCluster- | 9af56be896ef523ae07251ab09b6e9dc6c662316 | [
"MIT"
] | 8 | 2019-09-10T12:44:06.000Z | 2021-11-05T16:12:54.000Z | step1_choose_center.py | tenglang123/DensityPeakCluster-2 | 9af56be896ef523ae07251ab09b6e9dc6c662316 | [
"MIT"
] | null | null | null | step1_choose_center.py | tenglang123/DensityPeakCluster-2 | 9af56be896ef523ae07251ab09b6e9dc6c662316 | [
"MIT"
] | 4 | 2019-12-10T01:15:46.000Z | 2022-01-11T11:27:20.000Z | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
import logging
from plot import *
from cluster import *
def plot(data, auto_select_dc = False):
logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.INFO)
dpcluster = DensityPeakCluster()
'''
rho:各个点的局部密度的数组
rc：截断距离
'''
distances, m... | 32.142857 | 126 | 0.741111 |
b8472c4801aa193b9322c9070cd5602a87dc0334 | 1,190 | py | Python | app/core/models.py | nouman-10/RestAPI-for-Recipes | 9f73cb07a6803ee3491729522246a1a39316679e | [
"MIT"
] | null | null | null | app/core/models.py | nouman-10/RestAPI-for-Recipes | 9f73cb07a6803ee3491729522246a1a39316679e | [
"MIT"
] | null | null | null | app/core/models.py | nouman-10/RestAPI-for-Recipes | 9f73cb07a6803ee3491729522246a1a39316679e | [
"MIT"
] | null | null | null | from django.db import models
from django.contrib.auth.models import (
AbstractBaseUser,
BaseUserManager,
PermissionsMixin,
)
class UserManager(BaseUserManager):
def create_user(self, email, password=None, **extra_fields):
"""Creates and saves a new user"""
if not email:
rai... | 29.02439 | 76 | 0.681513 |
6341ee034d1a7d38e256129808c7cf57aa65bbed | 10,090 | py | Python | src/test/tests/plots/mesh.py | cstatz/visit | f352f3984fa77392e81acbaa6943778a779f0435 | [
"BSD-3-Clause"
] | null | null | null | src/test/tests/plots/mesh.py | cstatz/visit | f352f3984fa77392e81acbaa6943778a779f0435 | [
"BSD-3-Clause"
] | null | null | null | src/test/tests/plots/mesh.py | cstatz/visit | f352f3984fa77392e81acbaa6943778a779f0435 | [
"BSD-3-Clause"
] | 1 | 2020-03-18T23:17:43.000Z | 2020-03-18T23:17:43.000Z | # ----------------------------------------------------------------------------
# CLASSES: nightly
#
# Test Case: mesh.py
#
# Tests: mesh - 3D structured, single domain
# - 3D point, single domain
# - 2D point, single domain
# - 3D unstru... | 27.123656 | 84 | 0.634985 |
2005488d2cd373c9a43993d701a2622be88fcf16 | 4,930 | py | Python | appraise/wmt16/validators.py | yuyang-huang/Appraise | 05b956e90ec47d79125e71e2f7acacbec37ff4b3 | [
"BSD-3-Clause"
] | 68 | 2015-03-20T15:39:30.000Z | 2022-03-03T13:44:31.000Z | appraise/wmt16/validators.py | yuyang-huang/Appraise | 05b956e90ec47d79125e71e2f7acacbec37ff4b3 | [
"BSD-3-Clause"
] | 30 | 2015-04-12T13:14:51.000Z | 2021-05-06T11:42:18.000Z | appraise/wmt16/validators.py | yuyang-huang/Appraise | 05b956e90ec47d79125e71e2f7acacbec37ff4b3 | [
"BSD-3-Clause"
] | 24 | 2016-03-15T09:38:08.000Z | 2021-01-06T02:52:43.000Z | # -*- coding: utf-8 -*-
"""
Project: Appraise evaluation system
Author: Christian Federmann <cfedermann@gmail.com>
"""
import logging
from xml.etree.ElementTree import Element, fromstring, ParseError
from django.core.exceptions import ValidationError
from appraise.settings import LOG_LEVEL, LOG_HANDLER
# Setup log... | 32.434211 | 77 | 0.604868 |
cbae51646fe06beeea552bc4efe8dcef1eb35cfc | 6,104 | py | Python | invenio_communities/views/communities.py | rekt-hard/invenio-communities | 4711cb9bcd930079c3b237e910781eaadbb4d98b | [
"MIT"
] | null | null | null | invenio_communities/views/communities.py | rekt-hard/invenio-communities | 4711cb9bcd930079c3b237e910781eaadbb4d98b | [
"MIT"
] | null | null | null | invenio_communities/views/communities.py | rekt-hard/invenio-communities | 4711cb9bcd930079c3b237e910781eaadbb4d98b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# This file is part of Invenio.
# Copyright (C) 2016-2021 CERN.
#
# Invenio is free software; you can redistribute it and/or modify it
# under the terms of the MIT License; see LICENSE file for more details.
"""Routes for community-related pages provided by Invenio-Communities."""
from flask... | 29.77561 | 79 | 0.659404 |
a6d31be122e50d5c091848f87a49de2cd8e4bcf0 | 4,521 | py | Python | notebooks/notebooks/benchmarking.py | grchristensen/avpd | f7617844ae454a93825aa231e04c125cb4e58a20 | [
"Apache-2.0"
] | null | null | null | notebooks/notebooks/benchmarking.py | grchristensen/avpd | f7617844ae454a93825aa231e04c125cb4e58a20 | [
"Apache-2.0"
] | 9 | 2021-03-04T20:29:54.000Z | 2021-03-31T22:03:51.000Z | notebooks/notebooks/benchmarking.py | grchristensen/avpd | f7617844ae454a93825aa231e04c125cb4e58a20 | [
"Apache-2.0"
] | 3 | 2021-01-30T02:19:07.000Z | 2021-04-11T19:48:37.000Z | import numpy as np
from numpy import ndarray
# import numpy as np
# from tqdm import tqdm
#
# def texts_from_author(dataset, author, feature_extractor):
# author_data = dataset.loc[author]
#
# author_texts_df = author_data.groupby("text_id")
#
# def sentences_to_text(group):
# group = group.sort_va... | 32.292857 | 89 | 0.655607 |
6ca2531834f9d5a6792fd25c4e9f3dfaac8b8719 | 4,763 | py | Python | tests/test_model_sarimax.py | khrapovs/hcl-model | 879740e6072c2ff45864040db0b8364b55de1f44 | [
"MIT"
] | null | null | null | tests/test_model_sarimax.py | khrapovs/hcl-model | 879740e6072c2ff45864040db0b8364b55de1f44 | [
"MIT"
] | 5 | 2022-02-09T12:38:04.000Z | 2022-02-21T15:25:06.000Z | tests/test_model_sarimax.py | khrapovs/hcl-model | 879740e6072c2ff45864040db0b8364b55de1f44 | [
"MIT"
] | 1 | 2022-02-17T09:59:22.000Z | 2022-02-17T09:59:22.000Z | import pandas as pd
from hcl_model.model_sarimax import SARIMAXModel
from tests.test_model_common import TestModelCommon
class TestSARIMAX(TestModelCommon):
def test_model_fit(self) -> None:
endog, exog = self.generate_data()
model = SARIMAXModel(trend="n")
y_train = endog[self.lbl_valu... | 38.41129 | 107 | 0.636784 |
4da806ef7fb497258e33215ef6971ea5d50944cd | 987 | py | Python | Examples/put_worksheet_shape.py | aspose-cells-cloud/aspose-cells-cloud-python | 0189236d38053dc67f7edc754b5101f17262cee8 | [
"MIT"
] | 3 | 2018-05-23T03:16:26.000Z | 2020-11-07T11:42:41.000Z | Examples/put_worksheet_shape.py | aspose-cells-cloud/aspose-cells-cloud-python | 0189236d38053dc67f7edc754b5101f17262cee8 | [
"MIT"
] | null | null | null | Examples/put_worksheet_shape.py | aspose-cells-cloud/aspose-cells-cloud-python | 0189236d38053dc67f7edc754b5101f17262cee8 | [
"MIT"
] | 4 | 2018-08-29T18:45:05.000Z | 2021-03-25T07:59:56.000Z | import os
import sys
ABSPATH = os.path.abspath(os.path.realpath(os.path.dirname(__file__)) + "/..")
sys.path.append(ABSPATH)
import asposecellscloud
from asposecellscloud.rest import ApiException
from asposecellscloud.apis.cells_api import CellsApi
import AuthUtil
from asposecellscloud.models import CalculationOptions... | 34.034483 | 158 | 0.734549 |
0d90ad908e3e12c564cc0cd472bda639863f3ee9 | 5,137 | py | Python | fasttest/runner/case_analysis.py | Hanlen520/fasttest | f302adabc0250d1540a6bf97605cef81ce929bc2 | [
"MIT"
] | 17 | 2020-03-26T10:02:29.000Z | 2021-04-22T09:03:44.000Z | fasttest/runner/case_analysis.py | Hanlen520/fasttest | f302adabc0250d1540a6bf97605cef81ce929bc2 | [
"MIT"
] | null | null | null | fasttest/runner/case_analysis.py | Hanlen520/fasttest | f302adabc0250d1540a6bf97605cef81ce929bc2 | [
"MIT"
] | 5 | 2020-02-21T01:45:09.000Z | 2021-04-21T19:59:08.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import re
import sys
import traceback
from fasttest.common import Var
from fasttest.runner.action_analysis import ActionAnalysis
class CaseAnalysis(object):
def __init__(self):
self.action_nalysis = ActionAnalysis()
self.testcase_steps = [... | 43.533898 | 123 | 0.455908 |
58bc325b32677283ad75597f434677782ba4f37b | 1,302 | py | Python | examples/anscombe_lines_no_points.py | andrewhw/VizThoughts | 738a6e05a22a6cb377b61b236c7b894e7d2194c6 | [
"CC-BY-4.0"
] | null | null | null | examples/anscombe_lines_no_points.py | andrewhw/VizThoughts | 738a6e05a22a6cb377b61b236c7b894e7d2194c6 | [
"CC-BY-4.0"
] | null | null | null | examples/anscombe_lines_no_points.py | andrewhw/VizThoughts | 738a6e05a22a6cb377b61b236c7b894e7d2194c6 | [
"CC-BY-4.0"
] | null | null | null | #!/usr/bin/env python
# Example adapted from:
# https://seaborn.pydata.org/examples/anscombes_quartet.html
import sys
import pandas as pd
import seaborn as sns
from matplotlib import pyplot as plt
# set overall theme for seaborn plotting
sns.set_theme(style="ticks")
# Load the example dataset for Anscombe's q... | 27.125 | 71 | 0.709677 |
2b77cb895e7b43676a24bcb965a126cb65861981 | 9,946 | py | Python | tests/test_02_dxf_graphics/test_237_mline.py | jpsantos-mf/ezdxf | 2b542a551b2cfc3c0920a5dbf302ff58cea90fbd | [
"MIT"
] | 1 | 2021-06-05T09:15:15.000Z | 2021-06-05T09:15:15.000Z | tests/test_02_dxf_graphics/test_237_mline.py | jpsantos-mf/ezdxf | 2b542a551b2cfc3c0920a5dbf302ff58cea90fbd | [
"MIT"
] | null | null | null | tests/test_02_dxf_graphics/test_237_mline.py | jpsantos-mf/ezdxf | 2b542a551b2cfc3c0920a5dbf302ff58cea90fbd | [
"MIT"
] | null | null | null | # Copyright (c) 2018-2020 Manfred Moitzi
# License: MIT License
from typing import cast
import pytest
import math
from unittest.mock import MagicMock
import ezdxf
from ezdxf.audit import Auditor
from ezdxf.lldxf import const
from ezdxf.lldxf.tagwriter import TagCollector
from ezdxf.lldxf.tags import Tags
from ezdxf.e... | 29.252941 | 74 | 0.624774 |
e0cde222a5f5dbe6545c933dad99fd36f05f5531 | 9,183 | py | Python | tests/test_workflow_build_combinations.py | tschoonj/cgat-daisy | f85a2c82ca04f352aad00660cfc14a9aa6773168 | [
"MIT"
] | 1 | 2020-06-29T14:39:42.000Z | 2020-06-29T14:39:42.000Z | tests/test_workflow_build_combinations.py | tschoonj/cgat-daisy | f85a2c82ca04f352aad00660cfc14a9aa6773168 | [
"MIT"
] | 1 | 2019-05-15T20:50:37.000Z | 2019-05-15T20:50:37.000Z | tests/test_workflow_build_combinations.py | tschoonj/cgat-daisy | f85a2c82ca04f352aad00660cfc14a9aa6773168 | [
"MIT"
] | 1 | 2021-11-11T13:22:56.000Z | 2021-11-11T13:22:56.000Z | import pytest
from daisy.workflow import build_combinations
def test_one_option():
assert build_combinations(
{"option1": ["value1", "value2"]}) == \
[{'option1': 'value1'},
{'option1': 'value2'}]
def test_two_options():
assert build_combinations(
{'option1': ["value1", "val... | 38.746835 | 92 | 0.516607 |
d12cb160efcec522b469d30ffdacf4ae0e0be2b3 | 1,299 | py | Python | api/tests/opentrons/drivers/smoothie_drivers/test_parse_utils.py | knownmed/opentrons | d02eb3c6cbf9f1c8c05c5e9e1dac30a92a8c5e6c | [
"Apache-2.0"
] | null | null | null | api/tests/opentrons/drivers/smoothie_drivers/test_parse_utils.py | knownmed/opentrons | d02eb3c6cbf9f1c8c05c5e9e1dac30a92a8c5e6c | [
"Apache-2.0"
] | null | null | null | api/tests/opentrons/drivers/smoothie_drivers/test_parse_utils.py | knownmed/opentrons | d02eb3c6cbf9f1c8c05c5e9e1dac30a92a8c5e6c | [
"Apache-2.0"
] | null | null | null | import pytest
from opentrons.drivers import utils
from opentrons.drivers.smoothie_drivers import parse_utils
from opentrons.drivers.utils import ParseError
def test_parse_position_response():
good_data = "ok M114.2 X:10 Y:20 Z:30 A:40 B:50 C:60"
res = parse_utils.parse_position_response(good_data)
expecte... | 24.055556 | 68 | 0.613549 |
27b0c96d84004428e5e9bee6a43c3b85f5db2f3e | 707 | py | Python | Python/Tensorflow/hello.py | GeorgiyDemo/scrapheap | 1d298eb63e0e6a8fc92ab84a05372d2ed33beba1 | [
"MIT"
] | null | null | null | Python/Tensorflow/hello.py | GeorgiyDemo/scrapheap | 1d298eb63e0e6a8fc92ab84a05372d2ed33beba1 | [
"MIT"
] | null | null | null | Python/Tensorflow/hello.py | GeorgiyDemo/scrapheap | 1d298eb63e0e6a8fc92ab84a05372d2ed33beba1 | [
"MIT"
] | 1 | 2019-03-14T15:48:23.000Z | 2019-03-14T15:48:23.000Z | from matplotlib.pyplot import plot
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
from tensorflow import keras
model = tf.keras.Sequential([keras.layers.Dense(units=1, input_shape=[1])])
model.compile(optimizer="sgd", loss="mean_squared_error")
# y = 2x
xs = np.array([1.0, 10.0, 5.0, 2.0, ... | 25.25 | 75 | 0.687412 |
9da3bbed5215cbadcd61157957346f7a8f603e60 | 8,290 | py | Python | botcmd.py | JuEeHa/hynneflip | e3e78e80e2a7f0bac8a0961f7cfe051f2f050446 | [
"Unlicense"
] | null | null | null | botcmd.py | JuEeHa/hynneflip | e3e78e80e2a7f0bac8a0961f7cfe051f2f050446 | [
"Unlicense"
] | null | null | null | botcmd.py | JuEeHa/hynneflip | e3e78e80e2a7f0bac8a0961f7cfe051f2f050446 | [
"Unlicense"
] | null | null | null | import threading
import unicodedata
from collections import namedtuple
import linguistics
Entry = namedtuple('Entry', ['hymmnos', 'word_class', 'pronunciation', 'meaning_ja', 'meaning_en', 'dialect'])
hymmnos_lexicon = []
hymmnos_lexicon_by_hymmnos = {}
hymmnos_lexicon_lock = threading.Lock()
Emotion = namedtuple('E... | 32.382813 | 113 | 0.72316 |
d2f4664f89b08aadcf21f13c78baddcee5e1091e | 2,902 | py | Python | telemetry/telemetry/story/story_unittest.py | tingshao/catapult | a8fe19e0c492472a8ed5710be9077e24cc517c5c | [
"BSD-3-Clause"
] | 2,151 | 2020-04-18T07:31:17.000Z | 2022-03-31T08:39:18.000Z | telemetry/telemetry/story/story_unittest.py | tingshao/catapult | a8fe19e0c492472a8ed5710be9077e24cc517c5c | [
"BSD-3-Clause"
] | 395 | 2020-04-18T08:22:18.000Z | 2021-12-08T13:04:49.000Z | telemetry/telemetry/story/story_unittest.py | tingshao/catapult | a8fe19e0c492472a8ed5710be9077e24cc517c5c | [
"BSD-3-Clause"
] | 338 | 2020-04-18T08:03:10.000Z | 2022-03-29T12:33:22.000Z | # Copyright 2014 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import unittest
from telemetry import story
from telemetry.story import shared_state
# pylint: disable=abstract-method
class SharedStateBar(shared_state.S... | 34.963855 | 80 | 0.703653 |
9a8ed34d199778b3c87308a4724518f1f039d236 | 2,781 | py | Python | prediction/anfis-module/utils/extractData.py | HPCC-Cloud-Computing/press | 776f820116b853c9413c8771e8d0832238e88b1a | [
"MIT"
] | 2 | 2018-01-19T15:53:02.000Z | 2018-01-19T20:07:48.000Z | prediction/anfis-module/utils/extractData.py | HPCC-Cloud-Computing/press | 776f820116b853c9413c8771e8d0832238e88b1a | [
"MIT"
] | 5 | 2017-04-22T18:47:37.000Z | 2018-02-27T17:25:13.000Z | prediction/anfis-module/utils/extractData.py | HPCC-Cloud-Computing/press | 776f820116b853c9413c8771e8d0832238e88b1a | [
"MIT"
] | null | null | null | import json
import numpy as np
import pandas as pd
FILE_DIRECTORY = "dataset/dru_10_minutes.csv"
HEADER = ["time_stamp", "numberOfTaskIndex", "numberOfMachineId",
"meanCPUUsage", "canonical memory usage", "AssignMem",
"unmapped_cache_usage", "page_cache_usage", "max_mem_usage",
"mean_dis... | 34.7625 | 110 | 0.635023 |
ce0bccba0e6812f7cfb2e0c228a2c7963aa7fd11 | 1,301 | py | Python | query_analysis/nlu/media/comic.py | JK-River/RobotAIEngine | 9113a73792c3f2d3e02558b25817915fb760d6e5 | [
"Apache-2.0"
] | 69 | 2017-03-05T09:12:52.000Z | 2021-11-10T03:45:34.000Z | query_analysis/nlu/media/comic.py | vevenlcf/RobotAIEngine | 9113a73792c3f2d3e02558b25817915fb760d6e5 | [
"Apache-2.0"
] | 2 | 2018-05-01T13:58:21.000Z | 2018-06-15T11:59:54.000Z | query_analysis/nlu/media/comic.py | vevenlcf/RobotAIEngine | 9113a73792c3f2d3e02558b25817915fb760d6e5 | [
"Apache-2.0"
] | 47 | 2017-03-15T08:20:37.000Z | 2021-10-30T16:26:50.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Copyright (c) 2016,小忆机器人
All rights reserved.
摘 要：相声语义
创 建 者：余菲
创建日期：17/2/10
"""
from nlu.rule import Rule
from nlu.media.common import *
from utils.utils import attach_perperty
class Comic(object):
"""
相声语义
"""
# 标识是mode领域
service = ... | 29.568182 | 114 | 0.578017 |
504c44c960328e180227d67af63af2fc674537c9 | 7,938 | py | Python | formencode/declarative.py | satosi-k/formencode | f840ed8c9b5926e68491f4ff710cc26d8c9f3ee0 | [
"Python-2.0"
] | null | null | null | formencode/declarative.py | satosi-k/formencode | f840ed8c9b5926e68491f4ff710cc26d8c9f3ee0 | [
"Python-2.0"
] | null | null | null | formencode/declarative.py | satosi-k/formencode | f840ed8c9b5926e68491f4ff710cc26d8c9f3ee0 | [
"Python-2.0"
] | null | null | null | """
Declarative objects for FormEncode.
Declarative objects have a simple protocol: you can use classes in
lieu of instances and they are equivalent, and any keyword arguments
you give to the constructor will override those instance variables.
(So if a class is received, we'll simply instantiate an instance with
no ar... | 34.513043 | 79 | 0.576216 |
e69643c93340bde6a5d7f9134b7bca7f83d4bb24 | 612 | py | Python | main.py | eddaughe/Dictionaries | b42ae2d651d05bfd32dcbd6bcdd04af9f6565043 | [
"MIT"
] | null | null | null | main.py | eddaughe/Dictionaries | b42ae2d651d05bfd32dcbd6bcdd04af9f6565043 | [
"MIT"
] | null | null | null | main.py | eddaughe/Dictionaries | b42ae2d651d05bfd32dcbd6bcdd04af9f6565043 | [
"MIT"
] | null | null | null | if __name__ == '__main__':
birthdays = {
'Peter Ginsberg': '04/15/1981',
'Daylon Kinsinger': '01/17/1969',
'Griffin Matherly': '09/21/2000',
'Adam Gontier': '07/14/1979',
'Dustin Bates': '02/23/1972'}
print('Welcome to the birthday dictionary. We know the birthdays of:')... | 36 | 74 | 0.581699 |
c0f9e882e0f10988cd07dd6266508962cb230cc6 | 1,221 | py | Python | comicolorization/models/normalize.py | DwangoMediaVillage/Comicolorization | 98f323e78baceae0b1086f01ac51b5e8a7515abb | [
"MIT"
] | 122 | 2017-08-21T10:01:07.000Z | 2022-03-21T13:52:19.000Z | comicolorization/models/normalize.py | DwangoMediaVillage/Comicolorization | 98f323e78baceae0b1086f01ac51b5e8a7515abb | [
"MIT"
] | 7 | 2017-10-20T15:12:13.000Z | 2022-01-30T23:04:37.000Z | comicolorization/models/normalize.py | DwangoMediaVillage/Comicolorization | 98f323e78baceae0b1086f01ac51b5e8a7515abb | [
"MIT"
] | 26 | 2017-08-22T08:11:20.000Z | 2022-03-09T14:59:18.000Z | import typing
import chainer
from comicolorization import utility
class ColorNormalize(chainer.Chain):
def __init__(self, type, in_min, in_max):
# type: (str, typing.Tuple, typing.Tuple) -> None
super(ColorNormalize, self).__init__()
self.type = type
self.in_min = in_min
se... | 32.131579 | 112 | 0.579034 |
fe7020d35a9978e458f5ba68a3f24946cd9fbd77 | 7,865 | py | Python | captum/attr/_utils/summarizer.py | aravipati12/captum | ef3e81d89c8c4404a49c384cf0727f2e7d393f5f | [
"BSD-3-Clause"
] | 1 | 2019-11-10T06:51:11.000Z | 2019-11-10T06:51:11.000Z | captum/attr/_utils/summarizer.py | aravipati12/captum | ef3e81d89c8c4404a49c384cf0727f2e7d393f5f | [
"BSD-3-Clause"
] | 4 | 2020-11-20T21:05:39.000Z | 2022-03-18T15:28:01.000Z | captum/attr/_utils/summarizer.py | aravipati12/captum | ef3e81d89c8c4404a49c384cf0727f2e7d393f5f | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
from typing import Dict, List, Optional, Tuple, Type, Union
from torch import Tensor
from captum.attr._utils.stat import MSE, Count, Max, Mean, Min, Stat, StdDev, Sum, Var
from captum.log import log_usage
class Summarizer:
r"""
This class simply wraps over a given a set of Summarizer... | 33.900862 | 87 | 0.602797 |
0cf1a940cd04f5a00baa866405008be880a2e9fa | 1,571 | py | Python | code/utils/cluster/general.py | yanxi0830/IIC | 77641baebca36d5e5f7c9ec25c0755d14524dd4e | [
"MIT"
] | null | null | null | code/utils/cluster/general.py | yanxi0830/IIC | 77641baebca36d5e5f7c9ec25c0755d14524dd4e | [
"MIT"
] | null | null | null | code/utils/cluster/general.py | yanxi0830/IIC | 77641baebca36d5e5f7c9ec25c0755d14524dd4e | [
"MIT"
] | null | null | null | import torch
import torchvision
from torch.optim import Adam
_opt_dict = {"Adam": Adam}
def get_opt(name):
return _opt_dict[name]
def config_to_str(config):
attrs = vars(config)
string_val = "Config: -----\n"
string_val += "\n".join("%s: %s" % item for item in attrs.items())
string_val += "\n--... | 25.33871 | 70 | 0.583705 |
1fa358ca282e84b324fc105e405f6897600675d1 | 5,270 | py | Python | build/env/lib/python2.6/site-packages/logilab_astng-0.24.3-py2.6.egg/logilab/astng/test/unittest_regrtest.py | lockhart39/HueQualityAndIngestionApp | c75e55a43a8bdeb7aa0f5bf2101ec72b01dcac1c | [
"Apache-2.0"
] | 1 | 2018-05-07T05:40:36.000Z | 2018-05-07T05:40:36.000Z | build/env/lib/python2.6/site-packages/logilab_astng-0.24.3-py2.6.egg/logilab/astng/test/unittest_regrtest.py | lockhart39/HueQualityAndIngestionApp | c75e55a43a8bdeb7aa0f5bf2101ec72b01dcac1c | [
"Apache-2.0"
] | null | null | null | build/env/lib/python2.6/site-packages/logilab_astng-0.24.3-py2.6.egg/logilab/astng/test/unittest_regrtest.py | lockhart39/HueQualityAndIngestionApp | c75e55a43a8bdeb7aa0f5bf2101ec72b01dcac1c | [
"Apache-2.0"
] | null | null | null | # copyright 2003-2013 LOGILAB S.A. (Paris, FRANCE), all rights reserved.
# contact http://www.logilab.fr/ -- mailto:contact@logilab.fr
#
# This file is part of logilab-astng.
#
# logilab-astng is free software: you can redistribute it and/or modify it
# under the terms of the GNU Lesser General Public License as publis... | 36.597222 | 85 | 0.673245 |
c852bc7ecf6d67bc972cd1fe27b667ad4242d6fc | 51,010 | py | Python | python/ccxt/idex.py | pcriadoperez/ccxt | fd0db4bad42f4f937c401cdb4cd0bcc4e716282e | [
"MIT"
] | null | null | null | python/ccxt/idex.py | pcriadoperez/ccxt | fd0db4bad42f4f937c401cdb4cd0bcc4e716282e | [
"MIT"
] | null | null | null | python/ccxt/idex.py | pcriadoperez/ccxt | fd0db4bad42f4f937c401cdb4cd0bcc4e716282e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# PLEASE DO NOT EDIT THIS FILE, IT IS GENERATED AND WILL BE OVERWRITTEN:
# https://github.com/ccxt/ccxt/blob/master/CONTRIBUTING.md#how-to-contribute-code
from ccxt.base.exchange import Exchange
import hashlib
from ccxt.base.errors import ExchangeError
from ccxt.base.errors import Authenticati... | 38.038777 | 142 | 0.507489 |
383197950d3044912396ec6c80bb30688949dc55 | 27,501 | py | Python | jupyterlab/labapp.py | VinayaSathyanarayana/jupyterlab | b1f4648bf7775a88ed97185caec073d48fe6a2f4 | [
"BSD-3-Clause"
] | null | null | null | jupyterlab/labapp.py | VinayaSathyanarayana/jupyterlab | b1f4648bf7775a88ed97185caec073d48fe6a2f4 | [
"BSD-3-Clause"
] | null | null | null | jupyterlab/labapp.py | VinayaSathyanarayana/jupyterlab | b1f4648bf7775a88ed97185caec073d48fe6a2f4 | [
"BSD-3-Clause"
] | null | null | null | # coding: utf-8
"""A tornado based Jupyter lab server."""
# Copyright (c) Jupyter Development Team.
# Distributed under the terms of the Modified BSD License.
import json
import os
import os.path as osp
from os.path import join as pjoin
import sys
from jinja2 import Environment, FileSystemLoader
from jupyter_core.ap... | 37.063342 | 159 | 0.656085 |
8783855367318e36c617893ea9bd0299d0632e4e | 290 | py | Python | Dataset/Leetcode/train/70/45.py | kkcookies99/UAST | fff81885aa07901786141a71e5600a08d7cb4868 | [
"MIT"
] | null | null | null | Dataset/Leetcode/train/70/45.py | kkcookies99/UAST | fff81885aa07901786141a71e5600a08d7cb4868 | [
"MIT"
] | null | null | null | Dataset/Leetcode/train/70/45.py | kkcookies99/UAST | fff81885aa07901786141a71e5600a08d7cb4868 | [
"MIT"
] | null | null | null | class Solution:
def XXX(self, n: int) -> int:
i = 1 # 爬到1台阶仅有1种方法
j = 2 # 爬到2台阶有2种方法
for _ in range(3, n): # 自底向上递推 F(n)=F(n-1)+F(n-2)
i, j = j, i + j # 每次仅保留前两个值，依次往后推算
return i + j if n > 2 else n # 注意当n=1,n=2时的情况
| 32.222222 | 65 | 0.448276 |
67dc89e31900f351839571d880557949297ca490 | 6,413 | py | Python | beast/plotting/plot_cmd_with_fits.py | lea-hagen/beast | 44d12e3ae9039fc4ad8c64721babd8f9901c48aa | [
"BSD-3-Clause"
] | null | null | null | beast/plotting/plot_cmd_with_fits.py | lea-hagen/beast | 44d12e3ae9039fc4ad8c64721babd8f9901c48aa | [
"BSD-3-Clause"
] | null | null | null | beast/plotting/plot_cmd_with_fits.py | lea-hagen/beast | 44d12e3ae9039fc4ad8c64721babd8f9901c48aa | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
import argparse
from astropy.io import fits
from astropy.coordinates import SkyCoord
from astropy import units as u
import copy
__all__ = ["plot_cmd_with_fits"]
def plot_cmd_with_fits(
data_fits_file,
beast_fits_file,
mag1_filter="F475W",
mag2_filter... | 27.761905 | 88 | 0.618899 |
300e1703b177765ea3df7c35fbbfae3d0aa8817a | 1,340 | py | Python | subresource-integrity/tools/generate_javascript.py | ziransun/wpt | ab8f451eb39eb198584d547f5d965ef54df2a86a | [
"BSD-3-Clause"
] | 14,668 | 2015-01-01T01:57:10.000Z | 2022-03-31T23:33:32.000Z | subresource-integrity/tools/generate_javascript.py | ziransun/wpt | ab8f451eb39eb198584d547f5d965ef54df2a86a | [
"BSD-3-Clause"
] | 7,642 | 2018-05-28T09:38:03.000Z | 2022-03-31T20:55:48.000Z | subresource-integrity/tools/generate_javascript.py | ziransun/wpt | ab8f451eb39eb198584d547f5d965ef54df2a86a | [
"BSD-3-Clause"
] | 5,941 | 2015-01-02T11:32:21.000Z | 2022-03-31T16:35:46.000Z | from __future__ import print_function
from os import path, listdir
from hashlib import sha512, sha256, md5
from base64 import b64encode
import re
JS_DIR = path.normpath(path.join(__file__, "..", ".."))
'''
Yield each file in the javascript directory
'''
def js_files():
for f in listdir(JS_DIR):
if path.isfile(... | 24.363636 | 62 | 0.677612 |
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