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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
216053aaf8b29fc8b35d155e70516ea38c7964da | 142 | py | Python | homecam.py | stigmarl/flask-homecam | cb56b4dff468faa8f1020e9504a03aae0072ceba | [
"MIT"
] | null | null | null | homecam.py | stigmarl/flask-homecam | cb56b4dff468faa8f1020e9504a03aae0072ceba | [
"MIT"
] | null | null | null | homecam.py | stigmarl/flask-homecam | cb56b4dff468faa8f1020e9504a03aae0072ceba | [
"MIT"
] | null | null | null | from app import create_app, db
app = create_app()
| 15.777778 | 33 | 0.711268 |
216075410bdf65b4cfa98dc5604abc1c889ef2b2 | 3,288 | py | Python | dtargs.py | petedmarsh/dtargs | 6d3ae82f7ae9f865212f7f4f6c85d4aef31d0671 | [
"MIT"
] | null | null | null | dtargs.py | petedmarsh/dtargs | 6d3ae82f7ae9f865212f7f4f6c85d4aef31d0671 | [
"MIT"
] | null | null | null | dtargs.py | petedmarsh/dtargs | 6d3ae82f7ae9f865212f7f4f6c85d4aef31d0671 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import argparse
import pytz
from datetime import datetime
| 39.142857 | 79 | 0.615268 |
216118178f22c620e11f9953a3111b92a4f5fc5d | 2,683 | py | Python | pykeops/numpy/lazytensor/LazyTensor.py | Rama27SepIBM/keops | bf71b2afea7b23a6788c38745846cf9f1dffd93a | [
"MIT"
] | 1 | 2021-04-20T09:04:21.000Z | 2021-04-20T09:04:21.000Z | pykeops/numpy/lazytensor/LazyTensor.py | Rama27SepIBM/keops | bf71b2afea7b23a6788c38745846cf9f1dffd93a | [
"MIT"
] | null | null | null | pykeops/numpy/lazytensor/LazyTensor.py | Rama27SepIBM/keops | bf71b2afea7b23a6788c38745846cf9f1dffd93a | [
"MIT"
] | 1 | 2021-04-06T16:36:30.000Z | 2021-04-06T16:36:30.000Z | import numpy as np
from pykeops.common.lazy_tensor import GenericLazyTensor
from pykeops.numpy.utils import numpytools
# Convenient aliases:
def Vi(x_or_ind, dim=None):
r"""
Simple wrapper that return an instantiation of :class:`LazyTensor` of type 0.
"""
return Var(x_or_ind, dim, 0)
def Vj(x_or_... | 30.83908 | 87 | 0.654119 |
2161360bfb81e040502ee6b62c38a124e41869d0 | 15,947 | py | Python | src/legUp_v2.py | mjaquiery/legUp | ec1555ecb8b396cad109ad0b9d4ce0086295f8ef | [
"MIT"
] | null | null | null | src/legUp_v2.py | mjaquiery/legUp | ec1555ecb8b396cad109ad0b9d4ce0086295f8ef | [
"MIT"
] | null | null | null | src/legUp_v2.py | mjaquiery/legUp | ec1555ecb8b396cad109ad0b9d4ce0086295f8ef | [
"MIT"
] | null | null | null | """
Updated on Sun Feb 25 15:26 2018
- tkinter library used to enable file selection dialogues for loading data and saving output
- options now specified with a dialogue box rather than a command line
Created on Thu Feb 06 17:29:27 2015
This program takes csv files containing voltage readings
(20,000 of them per file)... | 32.216162 | 128 | 0.612466 |
21614ce4ba8fe5009d765fbf8cc775a72c5b4840 | 2,553 | py | Python | clismo/sim/client_server_model.py | jmorgadov/clismo | 1200a5115eef5b2e1801bd1768c78191220ae0e2 | [
"MIT"
] | 2 | 2022-02-19T22:11:30.000Z | 2022-02-23T18:22:56.000Z | clismo/sim/client_server_model.py | jmorgadov/clismo | 1200a5115eef5b2e1801bd1768c78191220ae0e2 | [
"MIT"
] | null | null | null | clismo/sim/client_server_model.py | jmorgadov/clismo | 1200a5115eef5b2e1801bd1768c78191220ae0e2 | [
"MIT"
] | null | null | null | from queue import PriorityQueue
from typing import Callable, List
| 35.957746 | 86 | 0.541324 |
21618cc54a6c2516a96f053ea9a88f8e38e43a1b | 98 | py | Python | genoome/color_aliases/admin.py | jiivan/genoomy | e71fdd7ef7440e41efd8e245bbdb61f11b896be5 | [
"MIT"
] | null | null | null | genoome/color_aliases/admin.py | jiivan/genoomy | e71fdd7ef7440e41efd8e245bbdb61f11b896be5 | [
"MIT"
] | 2 | 2016-01-19T13:09:05.000Z | 2017-03-15T13:49:02.000Z | genoome/color_aliases/admin.py | jiivan/genoomy | e71fdd7ef7440e41efd8e245bbdb61f11b896be5 | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import ColorAlias
admin.site.register(ColorAlias)
| 16.333333 | 32 | 0.826531 |
21629f0708dae873e8a5adb69fcdb728a21e4126 | 315 | py | Python | app/gql/__init__.py | yoshiya0503/flask-graphQL-example | 469bc38d183ebb0ed7e9a14427d813cb1fdb3b3e | [
"MIT"
] | null | null | null | app/gql/__init__.py | yoshiya0503/flask-graphQL-example | 469bc38d183ebb0ed7e9a14427d813cb1fdb3b3e | [
"MIT"
] | null | null | null | app/gql/__init__.py | yoshiya0503/flask-graphQL-example | 469bc38d183ebb0ed7e9a14427d813cb1fdb3b3e | [
"MIT"
] | null | null | null | #! /usr/bin/env python3
# -*- encoding: utf-8 -*-
"""
schema object
schema
"""
__author__ = 'Yoshiya Ito <myon53@gmail.com>'
__version__ = '1.0.0'
__date__ = '2019-12-02'
import graphene
from app.gql.query import Query
from app.gql.mutation import Mutation
schema = graphene.Schema(query=Query, mutation=Mutation)
| 21 | 56 | 0.72381 |
216485c38366b8711003ea1f47b4b3d0d3777fa3 | 25,526 | py | Python | tests/test_operands.py | cu2/aldebaran | affd692bd568cdb5a3a1840c6bc02b5197da1064 | [
"MIT"
] | 4 | 2018-11-20T07:31:48.000Z | 2020-12-29T22:04:03.000Z | tests/test_operands.py | cu2/aldebaran | affd692bd568cdb5a3a1840c6bc02b5197da1064 | [
"MIT"
] | 7 | 2020-09-04T22:49:12.000Z | 2022-02-26T11:19:39.000Z | tests/test_operands.py | cu2/aldebaran | affd692bd568cdb5a3a1840c6bc02b5197da1064 | [
"MIT"
] | null | null | null | import unittest
from unittest.mock import Mock
from instructions.operands import (
Operand, OpLen, OpType,
get_operand_opcode, parse_operand_buffer,
get_operand_value, set_operand_value,
_get_reference_address, _get_opbyte,
_get_register_code_by_name, _get_register_name_by_code,
InvalidRegister... | 44.315972 | 114 | 0.653882 |
2165794335ca95279cca6df02ac540918b551bc8 | 1,096 | py | Python | event_loop/cancel_task.py | lishulongVI/Ilhabela | 12e97ad2c239038bca0aaecc037beba7f7d3715a | [
"MIT"
] | null | null | null | event_loop/cancel_task.py | lishulongVI/Ilhabela | 12e97ad2c239038bca0aaecc037beba7f7d3715a | [
"MIT"
] | null | null | null | event_loop/cancel_task.py | lishulongVI/Ilhabela | 12e97ad2c239038bca0aaecc037beba7f7d3715a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
@contact: lishulong.never@gmail.com
@time: 2019/3/25 9:43
"""
import asyncio
if __name__ == '__main__':
tasks = [consume() for i in range(10)]
loop = asyncio.get_event_loop()
try:
loop.run_until_complete(asyncio.wait(tasks))
except KeyboardInterrupt as e:
... | 15.884058 | 59 | 0.663321 |
2167face4e0d997c82f580f3b2a66b5b2585ee56 | 762 | py | Python | testTF.py | acsstudios/assgnopts | 0a754861b47b56992fad1cb8026260be39e8f765 | [
"MIT"
] | 1 | 2021-09-09T10:03:55.000Z | 2021-09-09T10:03:55.000Z | testTF.py | acsstudios/assgnopts | 0a754861b47b56992fad1cb8026260be39e8f765 | [
"MIT"
] | null | null | null | testTF.py | acsstudios/assgnopts | 0a754861b47b56992fad1cb8026260be39e8f765 | [
"MIT"
] | null | null | null | # Importing required libraries
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras.preprocessing.text import Tokenizer
# List of sample sentences that we want to tokenize
sentences = ['I love my dog',
'I love my cat',
'you love my dog!',
'Do you think my d... | 28.222222 | 57 | 0.695538 |
2168d2e3e100b833c3bdb3e0fda3939272c31053 | 7,953 | py | Python | harjoitustyo/src/ui/views/menu_view.py | ronituohino/ohte-harjoitustyo | 18eb9033c285d6f826ae0bafe5fec9319401eb82 | [
"MIT"
] | null | null | null | harjoitustyo/src/ui/views/menu_view.py | ronituohino/ohte-harjoitustyo | 18eb9033c285d6f826ae0bafe5fec9319401eb82 | [
"MIT"
] | null | null | null | harjoitustyo/src/ui/views/menu_view.py | ronituohino/ohte-harjoitustyo | 18eb9033c285d6f826ae0bafe5fec9319401eb82 | [
"MIT"
] | null | null | null | import os
from os.path import isfile, join
import pygame
from ui.view import View
from ui.components.button import Button
from ui.components.text import render, blit, text
from ui.components.box import box
from services.menu import Menu
| 30.825581 | 85 | 0.406262 |
2169433be713fc577361a94f5719a5780017349f | 1,238 | py | Python | Study/interesting_program/test.py | pynickle/awesome-python-tools | e405fb8d9a1127ae7cd5bcbd6481da78f6f1fb07 | [
"BSD-2-Clause"
] | 21 | 2019-06-02T01:55:14.000Z | 2022-01-08T22:35:31.000Z | Study/interesting_program/test.py | code-nick-python/awesome-daily-tools | e405fb8d9a1127ae7cd5bcbd6481da78f6f1fb07 | [
"BSD-2-Clause"
] | 3 | 2019-06-02T01:55:17.000Z | 2019-06-14T12:32:06.000Z | Study/interesting_program/test.py | code-nick-python/awesome-daily-tools | e405fb8d9a1127ae7cd5bcbd6481da78f6f1fb07 | [
"BSD-2-Clause"
] | 16 | 2019-06-23T13:00:04.000Z | 2021-09-18T06:09:58.000Z | """
Copyright: Copyright (c) 2019
License : WTFPL License
owner : pynickle
title : amazing-python study projects
description : projects for studying python
"""
import sys
import io
import unittest
import importlib
unittest.main()
| 24.76 | 75 | 0.679321 |
216bb3640cb2bccd362d7ee3d859fa96b2df5029 | 4,437 | py | Python | ssl_joystick_operation/scripts/joystick_node.py | SSL-Roots/CON-SAI | dbe60090441547df3d31c87db948c8822b07bfb1 | [
"MIT"
] | 28 | 2017-08-15T03:38:53.000Z | 2021-11-25T02:11:05.000Z | ssl_joystick_operation/scripts/joystick_node.py | SSL-Roots/CON-SAI | dbe60090441547df3d31c87db948c8822b07bfb1 | [
"MIT"
] | 41 | 2017-08-17T07:48:18.000Z | 2019-07-23T04:36:37.000Z | ssl_joystick_operation/scripts/joystick_node.py | SSL-Roots/CON-SAI | dbe60090441547df3d31c87db948c8822b07bfb1 | [
"MIT"
] | 8 | 2017-08-27T14:46:05.000Z | 2021-03-07T07:05:46.000Z | #!/usr/bin/env python
import rospy
import socket
import math
from std_msgs.msg import String
from std_msgs.msg import Time
from std_msgs.msg import UInt8
from std_msgs.msg import UInt32
from sensor_msgs.msg import Joy
from consai_msgs.msg import robot_commands
import topic_tools.srv
# import ssl_refbox.msg
# class... | 28.811688 | 78 | 0.615731 |
216c3e584bf0ccf79b7676172b319c96938d2937 | 189 | py | Python | pythontutorials/Udacity/CS101/Lesson 02 - Problem Set/Q6-Bodacious Udacity.py | JoseALermaIII/python-tutorials | 9d6cb78beec0bb55e27c49da1217317ba4d5f4fc | [
"MIT"
] | 2 | 2017-04-20T02:57:19.000Z | 2018-10-12T20:15:47.000Z | pythontutorials/Udacity/CS101/Lesson 02 - Problem Set/Q6-Bodacious Udacity.py | JoseALermaIII/python-tutorials | 9d6cb78beec0bb55e27c49da1217317ba4d5f4fc | [
"MIT"
] | 8 | 2021-03-18T21:50:16.000Z | 2022-03-11T23:38:01.000Z | pythontutorials/Udacity/CS101/Lesson 02 - Problem Set/Q6-Bodacious Udacity.py | JoseALermaIII/python-tutorials | 9d6cb78beec0bb55e27c49da1217317ba4d5f4fc | [
"MIT"
] | 3 | 2018-08-30T20:30:50.000Z | 2022-01-18T13:40:51.000Z | # Given the variables s and t defined as:
s = 'udacity'
t = 'bodacious'
# write Python code that prints out udacious
# without using any quote characters in
# your code.
print s[0] + t[2:]
| 23.625 | 44 | 0.708995 |
216c848e1ddcba2e2b04e531b179a3e5a5e41621 | 9,527 | py | Python | datasets/classification.py | billhhh/model-quantization-1 | e816c3ffd36426810e31de04dfdec1894a600c2d | [
"BSD-2-Clause"
] | 66 | 2020-07-28T06:28:59.000Z | 2022-03-30T03:34:31.000Z | datasets/classification.py | billhhh/model-quantization-1 | e816c3ffd36426810e31de04dfdec1894a600c2d | [
"BSD-2-Clause"
] | 5 | 2021-07-07T10:12:15.000Z | 2021-08-19T11:30:45.000Z | datasets/classification.py | billhhh/model-quantization-1 | e816c3ffd36426810e31de04dfdec1894a600c2d | [
"BSD-2-Clause"
] | 17 | 2021-03-11T09:54:16.000Z | 2022-03-22T13:06:12.000Z |
import torch
import torchvision
import torchvision.transforms as transforms
import torchvision.datasets as datasets
import os
import numpy as np
from PIL import Image, ImageFile
__imagenet_pca = {
'eigval': torch.Tensor([0.2175, 0.0188, 0.0045]),
'eigvec': torch.Tensor([
[-0.5675, 0.7192, 0.4009],
... | 38.727642 | 157 | 0.601868 |
dcbe7f19c1dbf983d47755b3e4b05e87bf1bdbd3 | 42 | py | Python | selection.py | JOkendo/PythonPrograms | f8520bbedfe8a1d967f61108c5a24b07f56c7d91 | [
"MIT"
] | null | null | null | selection.py | JOkendo/PythonPrograms | f8520bbedfe8a1d967f61108c5a24b07f56c7d91 | [
"MIT"
] | null | null | null | selection.py | JOkendo/PythonPrograms | f8520bbedfe8a1d967f61108c5a24b07f56c7d91 | [
"MIT"
] | null | null | null | marks = 70
if num > 50:
print("pass!") | 14 | 18 | 0.547619 |
dcbe975027f4df9e2601fd2aaf93136cc3a06d31 | 1,181 | py | Python | examples/src/main/python/python_example.py | bensenberner/spline-spark-agent | b391bae118233f88f9f2f235d35d11d93055507e | [
"Apache-2.0"
] | 65 | 2020-01-09T08:30:35.000Z | 2022-03-29T11:02:01.000Z | examples/src/main/python/python_example.py | bensenberner/spline-spark-agent | b391bae118233f88f9f2f235d35d11d93055507e | [
"Apache-2.0"
] | 359 | 2020-01-03T15:47:38.000Z | 2022-03-21T14:22:30.000Z | examples/src/main/python/python_example.py | bensenberner/spline-spark-agent | b391bae118233f88f9f2f235d35d11d93055507e | [
"Apache-2.0"
] | 57 | 2020-03-30T09:16:47.000Z | 2022-03-18T19:55:18.000Z | #
# Copyright 2017 ABSA Group 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
#
# Unless required by applicable law or agreed to in ... | 36.90625 | 115 | 0.740051 |
dcbed17561796433a09061693546b7d9c9b7c335 | 314 | py | Python | scribedb/__init__.py | Decathlon/scribedb | 153ae8854bc77c33a799f2757a2d4629f3909f8c | [
"Apache-2.0"
] | 3 | 2020-03-17T09:13:50.000Z | 2020-07-17T08:30:07.000Z | scribedb/__init__.py | doc22940/scribedb | 153ae8854bc77c33a799f2757a2d4629f3909f8c | [
"Apache-2.0"
] | 5 | 2020-03-09T15:11:20.000Z | 2020-09-17T20:50:08.000Z | scribedb/__init__.py | doc22940/scribedb | 153ae8854bc77c33a799f2757a2d4629f3909f8c | [
"Apache-2.0"
] | 1 | 2020-04-08T01:02:20.000Z | 2020-04-08T01:02:20.000Z |
"""
scribeDB is a light tool which compares data at schema level.
Let us say we have two schemas deployed inside PostgreSQL
and Oracle RDBs.
A minimal usage example:
#
"""
from . import oracle, postgres, rdbms, scribedb
__version__ = '0.1.0'
__all__ = ['__version__', 'oracle', 'postgres', 'scribedb','rdbms']
| 20.933333 | 67 | 0.72293 |
dcbfb218a75df60570bbac44effd705f21976a4c | 1,871 | py | Python | src/bot/xlparser/settings/config.py | delvinru/schedule | 4ef58b54d5df0aa06e123480f0fe4231295da873 | [
"MIT"
] | 2 | 2021-09-21T09:50:44.000Z | 2021-12-12T21:34:35.000Z | src/bot/xlparser/settings/config.py | delvinru/schedule | 4ef58b54d5df0aa06e123480f0fe4231295da873 | [
"MIT"
] | null | null | null | src/bot/xlparser/settings/config.py | delvinru/schedule | 4ef58b54d5df0aa06e123480f0fe4231295da873 | [
"MIT"
] | null | null | null | '''
parser.
'''
link_MireaSchedule = "https://www.mirea.ru/schedule/"
links_file = "links.txt"
first_september = [2021, 9, 1]
first_january = [2022, 1, 1]
semestr_start = [2021, 8, 30] #
block_tags = { # ,
"" : "", #
"" : "", #
"" : "", #
"" : "", #
... | 27.925373 | 82 | 0.577231 |
dcc3791c6b08e46a11284b513cf249f26c00368b | 1,795 | py | Python | referals/platforms/crowdtangle.py | jakobbaek/link_collector | 18fa1083a876b653e345f35075402a415aa71b6d | [
"MIT"
] | null | null | null | referals/platforms/crowdtangle.py | jakobbaek/link_collector | 18fa1083a876b653e345f35075402a415aa71b6d | [
"MIT"
] | null | null | null | referals/platforms/crowdtangle.py | jakobbaek/link_collector | 18fa1083a876b653e345f35075402a415aa71b6d | [
"MIT"
] | null | null | null | import random
import requests
import time
| 33.867925 | 132 | 0.587744 |
dcc672cd1529c256e9ce92450f3e659f1ce15438 | 7,240 | py | Python | src/AgentSPL/train.py | Yulv-git/Awesome-Ultrasound-Standard-Plane-Detection | 2e35afaa891badf5a235b5d995102e4dc8a4cf0d | [
"MIT"
] | 1 | 2022-03-24T06:54:36.000Z | 2022-03-24T06:54:36.000Z | src/AgentSPL/train.py | Yulv-git/Awesome-Ultrasound-Standard-Plane-Detection | 2e35afaa891badf5a235b5d995102e4dc8a4cf0d | [
"MIT"
] | null | null | null | src/AgentSPL/train.py | Yulv-git/Awesome-Ultrasound-Standard-Plane-Detection | 2e35afaa891badf5a235b5d995102e4dc8a4cf0d | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding=utf-8
'''
Author: Shuangchi He / Yulv
Email: yulvchi@qq.com
Date: 2022-03-20 18:17:37
Motto: Entities should not be multiplied unnecessarily.
LastEditors: Shuangchi He
LastEditTime: 2022-04-03 17:16:14
FilePath: /Awesome-Ultrasound-Standard-Plane-Detection/src/AgentSPL/train.py
... | 40.903955 | 123 | 0.623481 |
dcc6d54a859e984a75c2b6603ea50f7c1bdba1fa | 14,620 | py | Python | tests/batch/base_parse_replication_stream_test.py | ywlianghang/mysql_streamer | 7fc85efaca3db6a387ea4b791632c2df2d04cb3e | [
"Apache-2.0"
] | 419 | 2016-11-17T18:41:47.000Z | 2022-03-14T02:50:02.000Z | tests/batch/base_parse_replication_stream_test.py | ywlianghang/mysql_streamer | 7fc85efaca3db6a387ea4b791632c2df2d04cb3e | [
"Apache-2.0"
] | 19 | 2016-11-30T18:09:00.000Z | 2019-04-02T06:20:02.000Z | tests/batch/base_parse_replication_stream_test.py | ywlianghang/mysql_streamer | 7fc85efaca3db6a387ea4b791632c2df2d04cb3e | [
"Apache-2.0"
] | 90 | 2016-11-23T06:26:20.000Z | 2022-01-22T09:24:42.000Z | # -*- coding: utf-8 -*-
# Copyright 2016 Yelp 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 ag... | 33.076923 | 98 | 0.675103 |
dcc700f21b2de33960e29c9e4a85159939c5b5f3 | 1,362 | py | Python | build.py | sijad/iran-cities | b895d45c2adf049a56e9acfb6914914578d547a1 | [
"MIT"
] | 14 | 2016-05-01T11:33:15.000Z | 2019-07-27T17:21:40.000Z | build.py | sijad/iran-cities-list | b895d45c2adf049a56e9acfb6914914578d547a1 | [
"MIT"
] | 1 | 2017-10-14T19:23:51.000Z | 2017-10-14T19:23:51.000Z | build.py | sijad/iran-cities-list | b895d45c2adf049a56e9acfb6914914578d547a1 | [
"MIT"
] | 3 | 2016-12-03T22:24:59.000Z | 2017-10-13T16:15:13.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import json
# see: https://en.wikipedia.org/wiki/ISO_3166-2:IR
PROVINCE_MAP = {
u' ': 1,
u' ': 2,
u'': 3,
u'': 4,
u'': 5,
u'': 6,
u'': 7,
u' ': 8,
u'': 10,
u'': 11,
u'': 12,
u' ': 13,
u'': 14,
u'': 15,
u'': 1... | 21.28125 | 75 | 0.551395 |
dcc701ccb8967fd5ddcba24fee8eaeca6fa55888 | 900 | py | Python | 57 - Square root convergents/converg.py | jamtot/PyProjectEuler | 98c2cf5dbfa3d38a2727f2ad204e41f01b624dda | [
"MIT"
] | null | null | null | 57 - Square root convergents/converg.py | jamtot/PyProjectEuler | 98c2cf5dbfa3d38a2727f2ad204e41f01b624dda | [
"MIT"
] | null | null | null | 57 - Square root convergents/converg.py | jamtot/PyProjectEuler | 98c2cf5dbfa3d38a2727f2ad204e41f01b624dda | [
"MIT"
] | null | null | null | """
3 7 17 41 99 239 577 1393 n = 2n(i-1(previous)) + n(i-2(num before previous))
- - -- -- -- --- --- ----
2 5 12 29 70 169 408 985 (same as above, next number is 2 times previous plus
the number before that)
"""
if __name__ == "__main__":
numerator_expansions = [3, 7, 17, 41, 99,... | 32.142857 | 85 | 0.645556 |
dcc741045cd440a4dccfd1036075439ab58dcc3c | 565 | py | Python | src/__init__.py | chompomonim/python-graphql-example | e7b3ba1a549e2c4719eab1529d896fb19ab1cbb2 | [
"MIT"
] | null | null | null | src/__init__.py | chompomonim/python-graphql-example | e7b3ba1a549e2c4719eab1529d896fb19ab1cbb2 | [
"MIT"
] | null | null | null | src/__init__.py | chompomonim/python-graphql-example | e7b3ba1a549e2c4719eab1529d896fb19ab1cbb2 | [
"MIT"
] | null | null | null | from sanic import Sanic
from sanic.response import json, text
from sanic_graphql import GraphQLView
from api import schema, setup
app = Sanic()
app.add_route(GraphQLView.as_view(schema=schema, graphiql=True), '/graphql')
if __name__ == "__main__":
setup()
app.run(host="0.0.0.0", port=4000)
| 22.6 | 76 | 0.707965 |
dcc80839aa9d4bea48c925ed65c8c0a36c832df3 | 255 | py | Python | swarmdjango/core/models/Heading.py | YCP-Swarm-Robotics-Capstone-2020-2021/swarm-website-backend | 081d1930cc9283ee299d373f91f7c127f466c104 | [
"MIT"
] | null | null | null | swarmdjango/core/models/Heading.py | YCP-Swarm-Robotics-Capstone-2020-2021/swarm-website-backend | 081d1930cc9283ee299d373f91f7c127f466c104 | [
"MIT"
] | 51 | 2020-08-31T16:50:09.000Z | 2021-05-10T03:04:18.000Z | swarmdjango/core/models/Heading.py | YCP-Swarm-Robotics-Capstone-2020-2021/swarm-website-backend | 081d1930cc9283ee299d373f91f7c127f466c104 | [
"MIT"
] | null | null | null | from django.db import models
from core.models import Change | 28.333333 | 60 | 0.733333 |
dcc81393de725a070444fbc983b8a4a61724241e | 904 | py | Python | iaso/api/algorithms.py | ekhalilbsq/iaso | e6400c52aeb4f67ce1ca83b03efa3cb11ef235ee | [
"MIT"
] | 29 | 2020-12-26T07:22:19.000Z | 2022-03-07T13:40:09.000Z | iaso/api/algorithms.py | ekhalilbsq/iaso | e6400c52aeb4f67ce1ca83b03efa3cb11ef235ee | [
"MIT"
] | 150 | 2020-11-09T15:03:27.000Z | 2022-03-07T15:36:07.000Z | iaso/api/algorithms.py | ekhalilbsq/iaso | e6400c52aeb4f67ce1ca83b03efa3cb11ef235ee | [
"MIT"
] | 4 | 2020-11-09T10:38:13.000Z | 2021-10-04T09:42:47.000Z | from rest_framework import viewsets, permissions, serializers
from rest_framework.response import Response
from iaso.models import MatchingAlgorithm
from .common import HasPermission
| 28.25 | 100 | 0.725664 |
dcc8dbdd612c29691ae2ae82b4109c98232e4fd7 | 3,608 | py | Python | lib/googlecloudsdk/command_lib/run/printers/k8s_object_printer_util.py | google-cloud-sdk-unofficial/google-cloud-sdk | 2a48a04df14be46c8745050f98768e30474a1aac | [
"Apache-2.0"
] | 2 | 2019-11-10T09:17:07.000Z | 2019-12-18T13:44:08.000Z | lib/googlecloudsdk/command_lib/run/printers/k8s_object_printer_util.py | google-cloud-sdk-unofficial/google-cloud-sdk | 2a48a04df14be46c8745050f98768e30474a1aac | [
"Apache-2.0"
] | null | null | null | lib/googlecloudsdk/command_lib/run/printers/k8s_object_printer_util.py | google-cloud-sdk-unofficial/google-cloud-sdk | 2a48a04df14be46c8745050f98768e30474a1aac | [
"Apache-2.0"
] | 1 | 2020-07-25T01:40:19.000Z | 2020-07-25T01:40:19.000Z | # -*- coding: utf-8 -*- #
# Copyright 2019 Google LLC. 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... | 33.100917 | 80 | 0.720621 |
dcc93490f493990dafb1397d9f13b6202e693216 | 201 | py | Python | codility/lessons/1-iterations/test_binary_gap.py | phacic/dsa-py | 77e07361d502aeec004c7e44b714a53fe7f9cae0 | [
"MIT"
] | null | null | null | codility/lessons/1-iterations/test_binary_gap.py | phacic/dsa-py | 77e07361d502aeec004c7e44b714a53fe7f9cae0 | [
"MIT"
] | null | null | null | codility/lessons/1-iterations/test_binary_gap.py | phacic/dsa-py | 77e07361d502aeec004c7e44b714a53fe7f9cae0 | [
"MIT"
] | null | null | null | import pytest
from binary_gap import solution
| 25.125 | 81 | 0.686567 |
dcc98874a25ce5c8605f3884f1b1cc84e78aae08 | 1,287 | py | Python | IntroProPython/IntroProPython - exercicios/capitulo 07/exercicio-07-02.py | SweydAbdul/estudos-python | b052708d0566a0afb9a1c04d035467d45f820879 | [
"MIT"
] | null | null | null | IntroProPython/IntroProPython - exercicios/capitulo 07/exercicio-07-02.py | SweydAbdul/estudos-python | b052708d0566a0afb9a1c04d035467d45f820879 | [
"MIT"
] | null | null | null | IntroProPython/IntroProPython - exercicios/capitulo 07/exercicio-07-02.py | SweydAbdul/estudos-python | b052708d0566a0afb9a1c04d035467d45f820879 | [
"MIT"
] | null | null | null | ##############################################################################
# Parte do livro Introduo Programao com Python
# Autor: Nilo Ney Coutinho Menezes
# Editora Novatec (c) 2010-2017
# Primeira edio - Novembro/2010 - ISBN 978-85-7522-250-8
# Primeira reimpresso - Outubro/2011
# Segunda reimpresso - Novembro/... | 34.783784 | 78 | 0.637918 |
dcc9cd475081319ccd143f49c43e6f3a2600ff8d | 727 | py | Python | tests/pup/sensors/ultrasonic_lights.py | cschlack/pybricks-micropython | 0abfd2918267a4e6e7a04062976ac1bb3da1f4b1 | [
"MIT"
] | 115 | 2020-06-15T16:43:14.000Z | 2022-03-21T21:11:57.000Z | tests/pup/sensors/ultrasonic_lights.py | cschlack/pybricks-micropython | 0abfd2918267a4e6e7a04062976ac1bb3da1f4b1 | [
"MIT"
] | 83 | 2020-06-17T17:19:29.000Z | 2022-03-08T18:50:35.000Z | tests/pup/sensors/ultrasonic_lights.py | BertLindeman/pybricks-micropython | 8f22a99551100e66ddf08d014d9f442f22b33b4d | [
"MIT"
] | 40 | 2020-06-15T18:36:39.000Z | 2022-03-28T13:22:43.000Z | # SPDX-License-Identifier: MIT
# Copyright (c) 2020 The Pybricks Authors
"""
Hardware Module: 1
Description: This tests the lights on the Ultrasonic Sensor. No external
sensors are used to verify that it works.
"""
from pybricks.pupdevices import UltrasonicSensor
from pybricks.parameters import Port
from pybricks.to... | 20.194444 | 72 | 0.729023 |
dcca7131726cc736db9713ef7e9fc6e4d4c07906 | 226 | py | Python | sites/newbrandx/rankx/admin.py | jackytu/newbrandx | 19569a725bef86a77e94009353e7be5fc6f1b993 | [
"BSD-3-Clause"
] | null | null | null | sites/newbrandx/rankx/admin.py | jackytu/newbrandx | 19569a725bef86a77e94009353e7be5fc6f1b993 | [
"BSD-3-Clause"
] | null | null | null | sites/newbrandx/rankx/admin.py | jackytu/newbrandx | 19569a725bef86a77e94009353e7be5fc6f1b993 | [
"BSD-3-Clause"
] | null | null | null | from django.contrib import admin
# Register your models here.
from .models import Milk
from .models import Brand
from .models import Company
admin.site.register(Milk)
admin.site.register(Brand)
admin.site.register(Company)
| 18.833333 | 32 | 0.800885 |
dcca9238b45a4d07ef66ddc0ab5b12946af6ccf6 | 24 | py | Python | class.py | adadesions/python_class | f593cdf3887bff17de05958751e1b080a0a8162e | [
"MIT"
] | null | null | null | class.py | adadesions/python_class | f593cdf3887bff17de05958751e1b080a0a8162e | [
"MIT"
] | null | null | null | class.py | adadesions/python_class | f593cdf3887bff17de05958751e1b080a0a8162e | [
"MIT"
] | null | null | null | """
class lesson
""" | 8 | 16 | 0.458333 |
dccc2de6c78a75b6d941a646536abd681d5266d8 | 9,797 | py | Python | Paddle_ChineseBert/PaddleNLP/paddlenlp/transformers/chinesebert/tokenizer.py | jiaqianjing/ChineseBERT-Paddle | c4a1a7d08eb8e4b3de1b8e0fb9cefeb7dc0451be | [
"MIT"
] | 1 | 2022-02-25T11:28:31.000Z | 2022-02-25T11:28:31.000Z | Paddle_ChineseBert/PaddleNLP/paddlenlp/transformers/chinesebert/tokenizer.py | jiaqianjing/ChineseBERT-Paddle | c4a1a7d08eb8e4b3de1b8e0fb9cefeb7dc0451be | [
"MIT"
] | null | null | null | Paddle_ChineseBert/PaddleNLP/paddlenlp/transformers/chinesebert/tokenizer.py | jiaqianjing/ChineseBERT-Paddle | c4a1a7d08eb8e4b3de1b8e0fb9cefeb7dc0451be | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
'''
@File : tokenzier.py
@Time : 2021/09/11 16:00:04
@Author : Jia Qianjing
@Version : 1.0
@Contact : jiaqianjing@gmail.com
@Desc : None
'''
import json
import os
from typing import List
import numpy as np
from pypinyin import Style, pinyin
from ..... | 39.031873 | 104 | 0.526488 |
dccc3770539a345be610b7f21997fe1acd9b086e | 9,949 | py | Python | train.py | w86763777/pytorch-simple-yolov3 | fb08b7c83493bdad3c0d60f8446a2018827b53a1 | [
"WTFPL"
] | null | null | null | train.py | w86763777/pytorch-simple-yolov3 | fb08b7c83493bdad3c0d60f8446a2018827b53a1 | [
"WTFPL"
] | null | null | null | train.py | w86763777/pytorch-simple-yolov3 | fb08b7c83493bdad3c0d60f8446a2018827b53a1 | [
"WTFPL"
] | null | null | null | import os
import argparse
from collections import defaultdict
import torch
import torch.distributed as dist
from torch.nn.parallel import DistributedDataParallel as DDP
from torch.multiprocessing import Process
from tqdm import trange
from tensorboardX import SummaryWriter
from pycocotools.coco import COCO
from yolov... | 37.123134 | 82 | 0.609911 |
dcccd3460841aa56fdd3f12e2c4b74b5af2f3969 | 1,708 | py | Python | progress.py | zzeleznick/config | f7d519004573968aa47fff850480618fd57dc0d1 | [
"MIT"
] | null | null | null | progress.py | zzeleznick/config | f7d519004573968aa47fff850480618fd57dc0d1 | [
"MIT"
] | null | null | null | progress.py | zzeleznick/config | f7d519004573968aa47fff850480618fd57dc0d1 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding=UTF-8
import sys
from blessings import Terminal
import time
import numpy as np
import argparse
# import subprocess;
# subprocess.call(["printf", "\033c"]);
if __name__ == '__main__':
main() | 25.878788 | 72 | 0.522834 |
dccdd28cc039a3a5144b0d2df2b3d0fb83817707 | 3,359 | py | Python | misc/jarvis-dsc-bot/challenge/bot.py | PWrWhiteHats/BtS-CTF-Challenges-03-2021 | 545880c414a6c55fe216d71f9eee2f54f64bb070 | [
"MIT"
] | 7 | 2021-03-14T16:34:56.000Z | 2022-01-18T16:46:25.000Z | misc/jarvis-dsc-bot/challenge/bot.py | PWrWhiteHats/BtS-CTF-Challenges-03-2021 | 545880c414a6c55fe216d71f9eee2f54f64bb070 | [
"MIT"
] | 4 | 2021-03-19T16:09:12.000Z | 2022-03-12T00:55:12.000Z | misc/jarvis-dsc-bot/challenge/bot.py | PWrWhiteHats/BtS-CTF-Challenges-03-2021 | 545880c414a6c55fe216d71f9eee2f54f64bb070 | [
"MIT"
] | null | null | null | # bot.py
import os
import discord
from discord.ext import commands
from dotenv import load_dotenv
from time import sleep
load_dotenv()
TOKEN = os.getenv('DISCORD_TOKEN')
try:
with open('/app/flag.txt', 'r') as r:
FLAG = r.read().strip()
except FileNotFoundError:
FLAG = os.getenv('FLAG', 'bts{tmpflag}... | 31.990476 | 134 | 0.677583 |
dccfb668a1df9c3316a2a14e3756a083e3ab3839 | 3,734 | py | Python | google/ads/google_ads/v4/proto/services/campaign_bid_modifier_service_pb2_grpc.py | arammaliachi/google-ads-python | a4fe89567bd43eb784410523a6306b5d1dd9ee67 | [
"Apache-2.0"
] | 1 | 2021-04-09T04:28:47.000Z | 2021-04-09T04:28:47.000Z | google/ads/google_ads/v4/proto/services/campaign_bid_modifier_service_pb2_grpc.py | arammaliachi/google-ads-python | a4fe89567bd43eb784410523a6306b5d1dd9ee67 | [
"Apache-2.0"
] | null | null | null | google/ads/google_ads/v4/proto/services/campaign_bid_modifier_service_pb2_grpc.py | arammaliachi/google-ads-python | a4fe89567bd43eb784410523a6306b5d1dd9ee67 | [
"Apache-2.0"
] | null | null | null | # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
import grpc
from google.ads.google_ads.v4.proto.resources import campaign_bid_modifier_pb2 as google_dot_ads_dot_googleads__v4_dot_proto_dot_resources_dot_campaign__bid__modifier__pb2
from google.ads.google_ads.v4.proto.services import campaign_bid_... | 53.342857 | 186 | 0.831012 |
dccfcf5fe340584cacae04463285d5b6a560f3d3 | 4,369 | py | Python | readthedocs/oauth/models.py | adrianmugnoz/Documentacion-universidades | 0e088718cdfdb2c9c52118c181def8086c821b1e | [
"MIT"
] | 1 | 2019-05-07T15:08:53.000Z | 2019-05-07T15:08:53.000Z | readthedocs/oauth/models.py | mba811/readthedocs.org | b882cec8c0e7d741d3c58af2f6d0f48d1a123f8d | [
"MIT"
] | null | null | null | readthedocs/oauth/models.py | mba811/readthedocs.org | b882cec8c0e7d741d3c58af2f6d0f48d1a123f8d | [
"MIT"
] | null | null | null | from django.db import models
from django.contrib.auth.models import User
from django.utils.translation import ugettext_lazy as _
| 46.978495 | 98 | 0.673838 |
dcd1979ad4bab59c6389ed6cdcd41efd03611f23 | 8,840 | py | Python | hg_agent_forwarder/forwarder.py | hostedgraphite/hg-agent-forwarder | b5bc9a69f1cbd49ba925dd33fa4f28617f1e33dc | [
"MIT"
] | null | null | null | hg_agent_forwarder/forwarder.py | hostedgraphite/hg-agent-forwarder | b5bc9a69f1cbd49ba925dd33fa4f28617f1e33dc | [
"MIT"
] | null | null | null | hg_agent_forwarder/forwarder.py | hostedgraphite/hg-agent-forwarder | b5bc9a69f1cbd49ba925dd33fa4f28617f1e33dc | [
"MIT"
] | 2 | 2018-07-17T15:11:38.000Z | 2018-08-19T12:16:55.000Z | import threading
import Queue
import os
import logging
import json
import time
import random
import requests
import multitail2
import errno
import tempfile
from requests.auth import HTTPBasicAuth
from utils import Datapoint
| 36.378601 | 81 | 0.541176 |
dcd1af861d1db0434de55a20de85ed1a197219cd | 27 | py | Python | kutana/__main__.py | ekonda/kutana | 902f9d521c10c6c7ccabb1387ee3d87db5e2eba6 | [
"MIT"
] | 69 | 2018-10-05T21:42:51.000Z | 2022-03-16T17:22:21.000Z | kutana/__main__.py | ekonda/kutana | 902f9d521c10c6c7ccabb1387ee3d87db5e2eba6 | [
"MIT"
] | 41 | 2018-10-20T09:18:43.000Z | 2021-11-22T12:19:44.000Z | kutana/__main__.py | ekonda/kutana | 902f9d521c10c6c7ccabb1387ee3d87db5e2eba6 | [
"MIT"
] | 26 | 2018-10-20T09:13:42.000Z | 2021-12-24T17:01:02.000Z | from .cli import run
run()
| 9 | 20 | 0.703704 |
dcd27c7511190004659b9e60ba4a4a26b905d6d5 | 2,119 | py | Python | Chapter9_FormatDetection/pr9_3_1.py | SeventeenChen/Python_Speech_SZY | 0074ad1d519387a75d5eca42c77f4d6966eb0a0e | [
"MIT"
] | 7 | 2020-11-23T11:03:43.000Z | 2021-10-24T01:26:21.000Z | Chapter9_FormatDetection/pr9_3_1.py | SeventeenChen/Python_Speech_SZY | 0074ad1d519387a75d5eca42c77f4d6966eb0a0e | [
"MIT"
] | null | null | null | Chapter9_FormatDetection/pr9_3_1.py | SeventeenChen/Python_Speech_SZY | 0074ad1d519387a75d5eca42c77f4d6966eb0a0e | [
"MIT"
] | 2 | 2021-06-23T14:26:13.000Z | 2021-06-30T10:39:08.000Z | #
# pr9_3_1
from audiolazy import lazy_lpc
from scipy.signal import lfilter, find_peaks
from LPC import LPC
from Universal import *
if __name__ == '__main__':
filename = 'snn27.wav'
speech = Speech()
x, fs = speech.audioread(filename, None) # read one frame data
u = lfilter(b=np.array([1, -0.99]), a=1, x=x) # ... | 30.710145 | 108 | 0.601699 |
dcd3f42d79247d516e91a944ac5320d42c096f12 | 8,356 | py | Python | FP - Fundamentals Of Programming/bank-accounts-manager/tests.py | p0licat/university | 4c86fd2e7aafb830f7d9cb2d38f96a145b7e7f7b | [
"MIT"
] | 2 | 2018-03-05T14:07:37.000Z | 2021-01-24T22:44:24.000Z | FP - Fundamentals Of Programming/bank-accounts-manager/tests.py | p0licat/university | 4c86fd2e7aafb830f7d9cb2d38f96a145b7e7f7b | [
"MIT"
] | 1 | 2017-03-08T09:08:29.000Z | 2017-03-10T08:23:58.000Z | FP - Fundamentals Of Programming/bank-accounts-manager/tests.py | p0licat/university | 4c86fd2e7aafb830f7d9cb2d38f96a145b7e7f7b | [
"MIT"
] | 1 | 2017-03-08T12:25:11.000Z | 2017-03-08T12:25:11.000Z | from methods import *
'''
This file contains the test functions of every function defined in methods.py, which is imported.
This file is imported by the main file ( application.py )
'''
# ========================================================= TEST FUNCTIONS =================================================... | 43.072165 | 155 | 0.602202 |
dcd42f2daa76bc524d4c8ee909709be681a4b7f0 | 679 | py | Python | darshan-util/pydarshan/darshan/error.py | gaocegege/darshan | 2d54cd8ec96d26db23e9ca421df48d2031a4c55e | [
"mpich2"
] | null | null | null | darshan-util/pydarshan/darshan/error.py | gaocegege/darshan | 2d54cd8ec96d26db23e9ca421df48d2031a4c55e | [
"mpich2"
] | null | null | null | darshan-util/pydarshan/darshan/error.py | gaocegege/darshan | 2d54cd8ec96d26db23e9ca421df48d2031a4c55e | [
"mpich2"
] | null | null | null | """ Darshan Error classes and functions. """
| 24.25 | 103 | 0.645066 |
dcd4c65a2576a728fe423b160c1c1d7a8fc3fb51 | 6,618 | py | Python | etl_e2e/census_etl/dfxml/python/dfxml/fiwalk.py | thinkmoore/das | d9faabf3de987b890a5079b914f5aba597215b14 | [
"CC0-1.0"
] | 35 | 2019-04-16T19:37:01.000Z | 2022-02-14T20:33:41.000Z | etl_e2e/census_etl/dfxml/python/dfxml/fiwalk.py | thinkmoore/das | d9faabf3de987b890a5079b914f5aba597215b14 | [
"CC0-1.0"
] | 17 | 2021-07-02T21:19:52.000Z | 2022-01-27T22:30:19.000Z | etl_e2e/census_etl/dfxml/python/dfxml/fiwalk.py | thinkmoore/das | d9faabf3de987b890a5079b914f5aba597215b14 | [
"CC0-1.0"
] | 12 | 2019-05-02T19:38:06.000Z | 2021-09-11T22:02:03.000Z | #!/usr/bin/env python
# This software was developed in whole or in part by employees of the
# Federal Government in the course of their official duties, and with
# other Federal assistance. Pursuant to title 17 Section 105 of the
# United States Code portions of this software authored by Federal
# employees are not su... | 37.389831 | 111 | 0.653974 |
dcd4e905ad3640b7680d21aba4cf6c5615e3a1ee | 17,684 | py | Python | backend/tests/test_response.py | PolyCortex/polydodo | 473d5a8b89e9bdb68ba9592241e45d30b86b471c | [
"MIT"
] | 13 | 2020-06-02T03:17:10.000Z | 2022-03-23T04:06:52.000Z | backend/tests/test_response.py | PolyCortex/polydodo | 473d5a8b89e9bdb68ba9592241e45d30b86b471c | [
"MIT"
] | 43 | 2020-07-15T04:21:06.000Z | 2022-03-06T00:32:19.000Z | backend/tests/test_response.py | PolyCortex/polydodo | 473d5a8b89e9bdb68ba9592241e45d30b86b471c | [
"MIT"
] | 2 | 2020-12-27T07:21:18.000Z | 2021-09-16T20:06:47.000Z | """
Not tested as they seemed obvious:
- "SleepTime": 31045, // Total amount of time sleeping including nocturnal awakenings (sleepOffset - sleepOnset)
- "WASO": 3932, // Total amount of time passed in nocturnal awakenings. It is the total time passed in non-wake stage
// from sleep Onset to sleep offse... | 42.30622 | 117 | 0.604558 |
dcd4fad7ef29868c6597c0320970ff225d173cc6 | 602 | py | Python | ver_colores.py | maltenzo/surrendeador | a3a0acbcaafa1ddec451cfaa6a75d850904a01e4 | [
"MIT"
] | null | null | null | ver_colores.py | maltenzo/surrendeador | a3a0acbcaafa1ddec451cfaa6a75d850904a01e4 | [
"MIT"
] | null | null | null | ver_colores.py | maltenzo/surrendeador | a3a0acbcaafa1ddec451cfaa6a75d850904a01e4 | [
"MIT"
] | null | null | null | import mouse
import keyboard
from PIL import Image
import pyscreenshot
from time import sleep
import os
while True:
# print(mouse.get_position())
print( dame_colores())
| 25.083333 | 81 | 0.679402 |
dcd6208add7287d2ee89286c6cb5068024c9c289 | 8,124 | py | Python | src/train.py | 2212221352/Multimodal-Transformer | 7e57e93f75119082ed923a33259f873824c7b300 | [
"MIT"
] | null | null | null | src/train.py | 2212221352/Multimodal-Transformer | 7e57e93f75119082ed923a33259f873824c7b300 | [
"MIT"
] | null | null | null | src/train.py | 2212221352/Multimodal-Transformer | 7e57e93f75119082ed923a33259f873824c7b300 | [
"MIT"
] | null | null | null | import torch
from torch import nn
import sys
from src import models
from src import ctc
from src.utils import *
import torch.optim as optim
import numpy as np
import time
from torch.optim.lr_scheduler import ReduceLROnPlateau
import os
import pickle
from sklearn.metrics import classification_report
from sklearn.metric... | 40.62 | 133 | 0.590103 |
dcd91413a4ee5c2dc186ccc8e249ed33ec01e5cc | 4,145 | py | Python | datawin-parse.py | BlackLotus/ogme | c163d51d495e61b96d8123cbb0efe8eae0e4fb66 | [
"MIT"
] | null | null | null | datawin-parse.py | BlackLotus/ogme | c163d51d495e61b96d8123cbb0efe8eae0e4fb66 | [
"MIT"
] | null | null | null | datawin-parse.py | BlackLotus/ogme | c163d51d495e61b96d8123cbb0efe8eae0e4fb66 | [
"MIT"
] | null | null | null | #!/usr/bin/python2
# -*- coding: utf-8 -*-
import os, sys
import binascii
import struct
import StringIO
# chunk names are 4 bytes long
# not quite sure how long the header is but I guess 8 bytes for now :>
# actually it's not really a header but the first chunk
# 4 bytes for the name (FORM) and 4 bytes for the length ... | 30.255474 | 174 | 0.587696 |
dcd99c7731f5c8f42cf05cb204ee8f7516acc652 | 413 | py | Python | Diena_1_4_thonny/d2_u2_d11.py | edzya/Python_RTU_08_20 | d2921d998c611c18328dd523daf976a27ce858c1 | [
"MIT"
] | 8 | 2020-08-31T16:10:54.000Z | 2021-11-24T06:37:37.000Z | Diena_1_4_thonny/d2_u2_d11.py | edzya/Python_RTU_08_20 | d2921d998c611c18328dd523daf976a27ce858c1 | [
"MIT"
] | 8 | 2021-06-08T22:30:29.000Z | 2022-03-12T00:48:55.000Z | Diena_1_4_thonny/d2_u2_d11.py | edzya/Python_RTU_08_20 | d2921d998c611c18328dd523daf976a27ce858c1 | [
"MIT"
] | 12 | 2020-09-28T17:06:52.000Z | 2022-02-17T12:12:46.000Z | try:
width=float(input("Ieraksti savas istabas platumu (metros): "))
height=float(input("Ieraksti savas istabas augstumu (metros): "))
length=float(input("Ieraksti savas istabas garumu (metros): "))
capacity=round(width*height*length, 2)
print(f"Tavas istabas tilpums ir {capacity} m\u00b3.")
except ... | 45.888889 | 69 | 0.714286 |
dcdafaad8c8fc0f7203bbde1fef43d4a96e917bd | 1,381 | py | Python | javaStringHashCollision.py | VivekYadav7272/hash_code_collisions | 98eed61a4a4d69f1c6985ed43f01a18feb2f9605 | [
"MIT"
] | null | null | null | javaStringHashCollision.py | VivekYadav7272/hash_code_collisions | 98eed61a4a4d69f1c6985ed43f01a18feb2f9605 | [
"MIT"
] | null | null | null | javaStringHashCollision.py | VivekYadav7272/hash_code_collisions | 98eed61a4a4d69f1c6985ed43f01a18feb2f9605 | [
"MIT"
] | null | null | null | # Program to check how effective is Java's String's Hash Collision
# for generating hash codes for Indian Phone No.s
import random
from pprint import pprint
SAMPLE_SPACE = 10000
def genJavaHashCode(phone: str) -> int:
"""
s[0]*31^(n-1) + s[1]*31^(n-2) + + s[n-1]
where :
s[i] is the ith ... | 30.688889 | 92 | 0.627806 |
dcdb3ea3ab1893474827b46227655af67fd0f6e0 | 1,701 | py | Python | arrhenuis/termodyn.py | xtotdam/leipzig-report | fe4146f9201a8453683ef1221fc768f135677153 | [
"MIT"
] | null | null | null | arrhenuis/termodyn.py | xtotdam/leipzig-report | fe4146f9201a8453683ef1221fc768f135677153 | [
"MIT"
] | null | null | null | arrhenuis/termodyn.py | xtotdam/leipzig-report | fe4146f9201a8453683ef1221fc768f135677153 | [
"MIT"
] | null | null | null | from arrhenius import stringify
"""
This script generates cool table with termodynamic parameters, taken from 'termodyn-acid.data.txt' and 'termodyn-anion.data.txt'
"""
head = '''
\\begin{center}
\\begin{tabular}{ x{1cm} x{2cm} x{2cm} x{2cm} x{2cm} x{2cm} } \\hline
Acid & E$_A$ \\newline kJ/mol & A \\ne... | 36.191489 | 167 | 0.542034 |
dcdc34ed85ff8e76e296804c80c837bca03715e7 | 9,930 | py | Python | functree/tree.py | yutayamate/functree-ng | 0eeb59c7117c4271125871929f680f660e4a413a | [
"MIT"
] | 17 | 2019-01-17T09:20:50.000Z | 2022-02-08T05:49:35.000Z | functree/tree.py | yutayamate/functree-ng | 0eeb59c7117c4271125871929f680f660e4a413a | [
"MIT"
] | 17 | 2019-03-26T10:16:10.000Z | 2022-03-11T23:38:33.000Z | functree/tree.py | yutayamate/functree-ng | 0eeb59c7117c4271125871929f680f660e4a413a | [
"MIT"
] | 7 | 2019-04-30T02:57:58.000Z | 2021-09-01T18:53:20.000Z | #!/usr/bin/env python3
import re, copy, urllib.request, urllib.parse, argparse, json
import networkx as nx
KEGG_DOWNLOAD_HTEXT_ENDPOINT = 'http://www.genome.jp/kegg-bin/download_htext?'
EXCLUDES = ['Global and overview maps', 'Drug Development', 'Chemical structure transformation maps']
def from_tsv(path, name):
... | 38.941176 | 135 | 0.544411 |
dcdd023a81feca70c98120ea168d3604a0c94976 | 416 | py | Python | app/config.py | dogukangungordi/cinetify-Movie | 85946010f4471cef0fb42873d50d59493372d060 | [
"MIT"
] | null | null | null | app/config.py | dogukangungordi/cinetify-Movie | 85946010f4471cef0fb42873d50d59493372d060 | [
"MIT"
] | null | null | null | app/config.py | dogukangungordi/cinetify-Movie | 85946010f4471cef0fb42873d50d59493372d060 | [
"MIT"
] | null | null | null | import os
TWO_WEEKS = 1209600
SECRET_KEY = os.getenv('SECRET_KEY', None)
assert SECRET_KEY
TOKEN_EXPIRES = TWO_WEEKS
DATABASE_URL = os.getenv(
'DATABASE_URL',
'postgres://postgres@{0}:5432/postgres'.format(os.getenv('DB_PORT_5432_TCP_ADDR', None)))
assert DATABASE_URL
REDIS_HOST = os.getenv('REDIS_HOST', ... | 23.111111 | 93 | 0.759615 |
dcdd6e685bb422c18bab7a2d6e2b60a9ba328309 | 597 | py | Python | 2020/day02/password_philosopy.py | rycmak/advent-of-code | 2a3289516f4c1d0bc1d24a38d495a93edcb19e29 | [
"MIT"
] | 1 | 2021-03-03T01:40:09.000Z | 2021-03-03T01:40:09.000Z | 2020/day02/password_philosopy.py | rycmak/advent-of-code | 2a3289516f4c1d0bc1d24a38d495a93edcb19e29 | [
"MIT"
] | null | null | null | 2020/day02/password_philosopy.py | rycmak/advent-of-code | 2a3289516f4c1d0bc1d24a38d495a93edcb19e29 | [
"MIT"
] | null | null | null | file = open("input.txt", "r")
num_valid = 0
for line in file:
# policy = part before colon
policy = line.strip().split(":")[0]
# get min/max number allowed for given letter
min_max = policy.split(" ")[0]
letter = policy.split(" ")[1]
min = int(min_max.split("-")[0])
max = int(min_max.split("-")[1])
... | 28.428571 | 69 | 0.644891 |
dcddcfee3d5454fe6a00d6247e9174457baf2d21 | 4,209 | py | Python | tools/config_setting.py | JBoRu/IMN-Pytorch-implement | 2e605353a2f9aac2c151b72c40a19eb2a9eb9967 | [
"MIT"
] | 1 | 2020-05-08T02:03:20.000Z | 2020-05-08T02:03:20.000Z | tools/config_setting.py | JBoRu/IMN-Pytorch-implement | 2e605353a2f9aac2c151b72c40a19eb2a9eb9967 | [
"MIT"
] | 1 | 2021-07-21T07:33:23.000Z | 2021-07-22T02:09:55.000Z | tools/config_setting.py | JBoRu/IMN-Pytorch-implement | 2e605353a2f9aac2c151b72c40a19eb2a9eb9967 | [
"MIT"
] | null | null | null | import argparse
import logging
import numpy as np
| 89.553191 | 195 | 0.703968 |
dcde4bcab3184fcfb3d10a1de327eba5c84c244b | 3,503 | py | Python | data_loader.py | franpena-kth/learning-deep-learning | 9cd287b602dee1358672c4189445721a9c24f107 | [
"MIT"
] | null | null | null | data_loader.py | franpena-kth/learning-deep-learning | 9cd287b602dee1358672c4189445721a9c24f107 | [
"MIT"
] | null | null | null | data_loader.py | franpena-kth/learning-deep-learning | 9cd287b602dee1358672c4189445721a9c24f107 | [
"MIT"
] | null | null | null | import h5py
import numpy
import sklearn
import sklearn.datasets
from matplotlib import pyplot
| 40.264368 | 112 | 0.666572 |
dce163daae46473015d3b2a1132e2c0325c306ae | 669 | py | Python | landmarkrest/field_predictor/field_models/TwoDigitYear.py | inferlink/landmark-rest | 5bda40424bd1d62c64c9f4931855b4e341742b95 | [
"BSD-4-Clause"
] | null | null | null | landmarkrest/field_predictor/field_models/TwoDigitYear.py | inferlink/landmark-rest | 5bda40424bd1d62c64c9f4931855b4e341742b95 | [
"BSD-4-Clause"
] | null | null | null | landmarkrest/field_predictor/field_models/TwoDigitYear.py | inferlink/landmark-rest | 5bda40424bd1d62c64c9f4931855b4e341742b95 | [
"BSD-4-Clause"
] | null | null | null | from BaseModel import BaseModel
| 33.45 | 87 | 0.630792 |
dce57c487095cb71ffd506dd3c16e7691af00444 | 5,078 | py | Python | compressor.py | kunliu7/compress_2RDM | 29ffa35ae5172d897fefb431b7894cdaf38b91ae | [
"MIT"
] | null | null | null | compressor.py | kunliu7/compress_2RDM | 29ffa35ae5172d897fefb431b7894cdaf38b91ae | [
"MIT"
] | null | null | null | compressor.py | kunliu7/compress_2RDM | 29ffa35ae5172d897fefb431b7894cdaf38b91ae | [
"MIT"
] | null | null | null | import numpy as np
| 31.153374 | 99 | 0.541355 |
dce5e9ef143c58e970f4648e4aa54bd55e17fa5f | 5,285 | py | Python | Lib/site-packages/node/tests/test_lifecycle.py | Dr8Ninja/ShareSpace | 7b445783a313cbdebb1938e824e98370a42def5f | [
"MIT"
] | 11 | 2015-04-02T17:47:44.000Z | 2020-10-26T20:27:43.000Z | Lib/site-packages/node/tests/test_lifecycle.py | Dr8Ninja/ShareSpace | 7b445783a313cbdebb1938e824e98370a42def5f | [
"MIT"
] | 5 | 2017-01-18T11:05:42.000Z | 2019-03-30T06:19:21.000Z | Lib/site-packages/node/tests/test_lifecycle.py | Dr8Ninja/ShareSpace | 7b445783a313cbdebb1938e824e98370a42def5f | [
"MIT"
] | 2 | 2015-09-15T06:50:22.000Z | 2016-12-01T11:12:01.000Z | from node.behaviors import Attributes
from node.behaviors import AttributesLifecycle
from node.behaviors import DefaultInit
from node.behaviors import DictStorage
from node.behaviors import Lifecycle
from node.behaviors import NodeAttributes
from node.behaviors import Nodespaces
from node.behaviors import Nodify
from n... | 30.373563 | 79 | 0.652602 |
dce61460a569ea1c684c33c8c9a8695d6d330978 | 547 | py | Python | sources/t08/t08ej02.py | workready/pythonbasic | 59bd82caf99244f5e711124e1f6f4dec8de22141 | [
"MIT"
] | null | null | null | sources/t08/t08ej02.py | workready/pythonbasic | 59bd82caf99244f5e711124e1f6f4dec8de22141 | [
"MIT"
] | null | null | null | sources/t08/t08ej02.py | workready/pythonbasic | 59bd82caf99244f5e711124e1f6f4dec8de22141 | [
"MIT"
] | null | null | null |
jorge = Empleado("Jorge", "jorge@mail.com")
jorge.guapo = "Por supuesto"
# Probando hasattr, getattr, setattr
print(hasattr(jorge, 'guapo')) # True
print(getattr(jorge, 'guapo')) # Por supuesto
print(hasattr(jorge, 'listo')) # False
setattr(jorge, 'listo', 'Ms que las monas')
print(getattr(jorge, 'listo')) # Ma... | 27.35 | 51 | 0.670932 |
dce6dd052404f932eea34b3955c8909dbf822ff0 | 852 | py | Python | utils/label_smoothing.py | wdjose/keyword-transformer | ded7ee4dae3e0a164f6f2ebb46c105431aadc9d1 | [
"MIT"
] | 9 | 2021-05-15T17:57:50.000Z | 2022-03-28T14:39:43.000Z | utils/label_smoothing.py | wdjose/kws-transformer | ded7ee4dae3e0a164f6f2ebb46c105431aadc9d1 | [
"MIT"
] | null | null | null | utils/label_smoothing.py | wdjose/kws-transformer | ded7ee4dae3e0a164f6f2ebb46c105431aadc9d1 | [
"MIT"
] | 2 | 2021-05-15T18:01:36.000Z | 2021-06-02T06:22:43.000Z | import torch
from torch import nn
# LabelSmoothingLoss from: https://github.com/dreamgonfly/transformer-pytorch/blob/master/losses.py
# License: https://github.com/dreamgonfly/transformer-pytorch/blob/master/LICENSE
| 42.6 | 99 | 0.67723 |
dce816b69b0582baaf4d9c46666864b3035d5fab | 931 | py | Python | lib/west_tools/westpa/reweight/__init__.py | ajoshpratt/westpa | 545a42a5ae4cfa77de0e125a38a5b1ec2b9ab218 | [
"MIT"
] | 1 | 2019-12-21T09:11:54.000Z | 2019-12-21T09:11:54.000Z | lib/west_tools/westpa/reweight/__init__.py | astatide/westpa | 545a42a5ae4cfa77de0e125a38a5b1ec2b9ab218 | [
"MIT"
] | 1 | 2020-04-14T20:49:38.000Z | 2020-04-14T20:49:38.000Z | lib/west_tools/westpa/reweight/__init__.py | ajoshpratt/westpa | 545a42a5ae4cfa77de0e125a38a5b1ec2b9ab218 | [
"MIT"
] | 1 | 2020-04-14T20:42:11.000Z | 2020-04-14T20:42:11.000Z | # Copyright (C) 2017 Matthew C. Zwier and Lillian T. Chong
#
# This file is part of WESTPA.
#
# WESTPA is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any... | 33.25 | 72 | 0.765843 |
dce9049b9ad5800c270533fc62b259d65fd6b5da | 3,044 | py | Python | platforms/m3/programming/mbus_message.py | lab11/M-ulator | 95b49c6194678c74accca4a20af71380efbcac5f | [
"Apache-2.0",
"MIT"
] | 19 | 2015-01-26T10:47:23.000Z | 2021-08-13T11:07:54.000Z | platforms/m3/programming/mbus_message.py | lab11/M-ulator | 95b49c6194678c74accca4a20af71380efbcac5f | [
"Apache-2.0",
"MIT"
] | 14 | 2015-08-24T02:35:46.000Z | 2021-05-05T03:53:44.000Z | platforms/m3/programming/mbus_message.py | lab11/M-ulator | 95b49c6194678c74accca4a20af71380efbcac5f | [
"Apache-2.0",
"MIT"
] | 9 | 2015-05-27T23:27:35.000Z | 2020-10-05T22:02:43.000Z | #!/usr/bin/python
import sys
import logging
from m3_common import m3_common
#m3_common.configure_root_logger()
#logger = logging.getLogger(__name__)
from m3_logging import get_logger
logger = get_logger(__name__)
m = mbus_message_generator()
#m.do_default("Run power-on sequence", m.power_on)
#m.do_default("Reset ... | 33.450549 | 96 | 0.654402 |
dce928dcf018f001f3c1247ee7dfb3079e1b064c | 1,172 | py | Python | test/test_nn/test_distribution/test_gaussian.py | brunomaga/PRML | 47d9830b39e91690cedb27003934df85cfb8c5c7 | [
"MIT"
] | 11,017 | 2017-07-03T03:06:25.000Z | 2022-03-30T18:47:20.000Z | test/test_nn/test_distribution/test_gaussian.py | brunomaga/PRML | 47d9830b39e91690cedb27003934df85cfb8c5c7 | [
"MIT"
] | 21 | 2017-08-13T01:35:41.000Z | 2022-03-21T06:25:09.000Z | test/test_nn/test_distribution/test_gaussian.py | brunomaga/PRML | 47d9830b39e91690cedb27003934df85cfb8c5c7 | [
"MIT"
] | 3,417 | 2017-07-05T12:55:52.000Z | 2022-03-30T18:47:27.000Z | import unittest
import numpy as np
import prml.nn as nn
if __name__ == "__main__":
unittest.main()
| 32.555556 | 93 | 0.598123 |
dce9859de967085bbcf63975cb47a3c6a5bf26ec | 1,087 | py | Python | monsterapi/migrations/0023_check.py | merenor/momeback | 33195c43abd2757a361dfc5cb7e3cf56f6b57402 | [
"MIT"
] | 1 | 2018-11-05T13:08:48.000Z | 2018-11-05T13:08:48.000Z | monsterapi/migrations/0023_check.py | merenor/momeback | 33195c43abd2757a361dfc5cb7e3cf56f6b57402 | [
"MIT"
] | null | null | null | monsterapi/migrations/0023_check.py | merenor/momeback | 33195c43abd2757a361dfc5cb7e3cf56f6b57402 | [
"MIT"
] | null | null | null | # Generated by Django 2.1.3 on 2018-11-24 13:52
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
| 40.259259 | 140 | 0.643054 |
dceac604206c3804e988356a36e1c21687d75def | 50 | py | Python | api_module/___init__.py | miscdec/tk-auto-study | 2c5c716ab652dfc04796c335d2fb2bc01c494ccd | [
"MIT"
] | null | null | null | api_module/___init__.py | miscdec/tk-auto-study | 2c5c716ab652dfc04796c335d2fb2bc01c494ccd | [
"MIT"
] | null | null | null | api_module/___init__.py | miscdec/tk-auto-study | 2c5c716ab652dfc04796c335d2fb2bc01c494ccd | [
"MIT"
] | null | null | null | from . import main_api
__all__=[
"main_api"
] | 10 | 22 | 0.66 |
dcec0a27d90cdc4a82ce90945f1522764fe59ffb | 5,852 | py | Python | result/fig1_opt/plot.py | HongdaWu1226/FedPNS | 9045da7c925bee006ae8ea5432abbc44bc84376c | [
"MIT"
] | null | null | null | result/fig1_opt/plot.py | HongdaWu1226/FedPNS | 9045da7c925bee006ae8ea5432abbc44bc84376c | [
"MIT"
] | null | null | null | result/fig1_opt/plot.py | HongdaWu1226/FedPNS | 9045da7c925bee006ae8ea5432abbc44bc84376c | [
"MIT"
] | null | null | null | import sys
import argparse
import matplotlib.pyplot as plt
import numpy as np
import pickle
matrices = ['acc', 'loss']
# labels = ['fedavg_5iid_5niid', 'fedavg_6iid_4niid', 'fedavg_2iid_8niid', 'fedavg_8iid_2niid' ]
# labels_prun = ['fedavg_5iid_5niid_prun', 'fedavg_6iid_4niid_prun', 'fedavg_8iid_2niid_prun']
... | 28.827586 | 122 | 0.572454 |
dcec0a932b384751e223e69c5f0bacbab7b74478 | 2,502 | py | Python | tools/solViewer.py | afkummer/gecco2020-brkga | a76438483528da54a0406925ffb8ae26a029c2eb | [
"MIT"
] | null | null | null | tools/solViewer.py | afkummer/gecco2020-brkga | a76438483528da54a0406925ffb8ae26a029c2eb | [
"MIT"
] | null | null | null | tools/solViewer.py | afkummer/gecco2020-brkga | a76438483528da54a0406925ffb8ae26a029c2eb | [
"MIT"
] | 2 | 2020-04-11T07:39:15.000Z | 2020-10-19T16:58:13.000Z | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
#
# The MIT License (MIT)
#
# Copyright (c) 2020
# Alberto Francisco Kummer Neto (afkneto@inf.ufrgs.br),
# Luciana Salete Buriol (buriol@inf.ufrgs.br) and
# Olinto Csar Bassi de Arajo (olinto@ctism.ufsm.br)
#
# Permission is hereby granted, free of charge, to any person ob... | 29.093023 | 82 | 0.673861 |
dcec3b942ff3cfa0abdd8f17276dd930a550b6c9 | 936 | py | Python | test cases/unittest_homophone_module.py | johnbumgarner/wordhoard | c71ad970505801ffe6d5c640c63f073c434b9a47 | [
"MIT"
] | 40 | 2020-10-21T19:49:51.000Z | 2022-03-05T20:46:58.000Z | test cases/unittest_homophone_module.py | johnbumgarner/wordhoard | c71ad970505801ffe6d5c640c63f073c434b9a47 | [
"MIT"
] | 10 | 2021-08-15T13:56:03.000Z | 2022-03-03T14:15:26.000Z | test cases/unittest_homophone_module.py | johnbumgarner/wordhoard | c71ad970505801ffe6d5c640c63f073c434b9a47 | [
"MIT"
] | 4 | 2020-12-30T15:22:07.000Z | 2022-02-01T21:05:49.000Z | #!/usr/bin/env python3
"""
This Python script is designed to perform unit testing of Wordhoard's
Homophones module.
"""
__author__ = 'John Bumgarner'
__date__ = 'September 20, 2020'
__status__ = 'Quality Assurance'
__license__ = 'MIT'
__copyright__ = "Copyright (C) 2021 John Bumgarner"
import unittest
from wordhoard... | 25.297297 | 86 | 0.690171 |
dcec6ff0d9def2fe9c68c69ed39626402f66ee06 | 3,492 | py | Python | resist/types/models/message.py | an-dyy/Resist | db4526e2db78bbd8d16567ae3e3880cf2c64eda1 | [
"MIT"
] | 4 | 2022-03-05T21:54:14.000Z | 2022-03-13T07:51:07.000Z | resist/types/models/message.py | an-dyy/Resist | db4526e2db78bbd8d16567ae3e3880cf2c64eda1 | [
"MIT"
] | 1 | 2022-03-09T20:15:09.000Z | 2022-03-10T10:39:25.000Z | resist/types/models/message.py | an-dyy/Resist | db4526e2db78bbd8d16567ae3e3880cf2c64eda1 | [
"MIT"
] | 1 | 2022-03-09T10:58:54.000Z | 2022-03-09T10:58:54.000Z | from __future__ import annotations
from typing import Literal, TypedDict, Union, final
from typing_extensions import NotRequired
from .asset import AssetData
SoundcloudLinkEmbedMetadata = TypedDict(
"SoundcloudLinkEmbedMetadata", {"type": Literal["Soundcloud"]}
)
NoneEmbed = TypedDict("NoneEmbed", {... | 23.436242 | 80 | 0.70189 |
dceca6923a77f2914c413d91ca752154c85edfb7 | 2,933 | py | Python | baseline/DRL/rpm.py | sugam45/CS771_project | 0361fd71fa65981614bc14bff8dceb763cb7c152 | [
"MIT"
] | null | null | null | baseline/DRL/rpm.py | sugam45/CS771_project | 0361fd71fa65981614bc14bff8dceb763cb7c152 | [
"MIT"
] | null | null | null | baseline/DRL/rpm.py | sugam45/CS771_project | 0361fd71fa65981614bc14bff8dceb763cb7c152 | [
"MIT"
] | 2 | 2020-12-09T05:00:24.000Z | 2021-12-05T12:00:12.000Z | # from collections import deque
import numpy as np
import random
import torch
import pickle as pickle
from torch.autograd import Variable
| 38.592105 | 116 | 0.617797 |
dcedf5797dbbe753e782f1e510c2e2eadacb0ae4 | 1,519 | py | Python | Line bot/app/models_for_line.py | FatTtyLoser/LINE-Bot | 32c5ffaabbf9c84b161ae720333b1405887be10a | [
"MIT"
] | null | null | null | Line bot/app/models_for_line.py | FatTtyLoser/LINE-Bot | 32c5ffaabbf9c84b161ae720333b1405887be10a | [
"MIT"
] | null | null | null | Line bot/app/models_for_line.py | FatTtyLoser/LINE-Bot | 32c5ffaabbf9c84b161ae720333b1405887be10a | [
"MIT"
] | null | null | null | from app import handler
from app import line_bot_api, handler
from linebot.models import (
MessageEvent, TextMessage, TextSendMessage, ImageSendMessage
)
import random
import re
import urllib
| 29.784314 | 135 | 0.622778 |
dcee0aabb64225f7e08fe67c3434070100bac04e | 5,885 | py | Python | misc/m2g_script.py | PSSF23/neurodata.io | 81ae10cc5082136db2d654026737a0a64f65cd88 | [
"Apache-2.0"
] | 9 | 2018-11-23T15:21:23.000Z | 2022-03-27T22:41:29.000Z | misc/m2g_script.py | PSSF23/neurodata.io | 81ae10cc5082136db2d654026737a0a64f65cd88 | [
"Apache-2.0"
] | 515 | 2016-02-17T19:58:15.000Z | 2022-03-31T20:57:48.000Z | misc/m2g_script.py | PSSF23/neurodata.io | 81ae10cc5082136db2d654026737a0a64f65cd88 | [
"Apache-2.0"
] | 19 | 2016-03-25T19:52:57.000Z | 2022-01-11T01:17:19.000Z | import boto3
import botocore
from ruamel.yaml import YAML
yaml = YAML()
CLIENT = boto3.client('s3', # region_name='us-east-1',
config=botocore.client.Config(signature_version=botocore.UNSIGNED))
RESOURCE = boto3.resource('s3')
REF_DIFF = {'SWU4': 'http://fcon_1000.projects.nitrc.org/indi/CoRR/h... | 38.214286 | 89 | 0.581648 |
dcf22457d7a59600a3e671d892fcbc97a92f684c | 207 | py | Python | pip_services3_prometheus/count/__init__.py | pip-services-python/pip-services-prometheus-python | 062be3bad4548c4733f0ed398d7b6069018eaffa | [
"MIT"
] | null | null | null | pip_services3_prometheus/count/__init__.py | pip-services-python/pip-services-prometheus-python | 062be3bad4548c4733f0ed398d7b6069018eaffa | [
"MIT"
] | null | null | null | pip_services3_prometheus/count/__init__.py | pip-services-python/pip-services-prometheus-python | 062be3bad4548c4733f0ed398d7b6069018eaffa | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
__all__ = ['PrometheusCounterConverter', 'PrometheusCounters']
from .PrometheusCounterConverter import PrometheusCounterConverter
from .PrometheusCounters import PrometheusCounters
| 29.571429 | 66 | 0.816425 |
dcf39fbfef9164b52a639bb7ce9ec336fdfee6b7 | 635 | py | Python | datenight/urls.py | SarahJaine/date-night | fb63b68cfb115f52c5d3ec39f2e73454c5d63bb6 | [
"MIT"
] | null | null | null | datenight/urls.py | SarahJaine/date-night | fb63b68cfb115f52c5d3ec39f2e73454c5d63bb6 | [
"MIT"
] | null | null | null | datenight/urls.py | SarahJaine/date-night | fb63b68cfb115f52c5d3ec39f2e73454c5d63bb6 | [
"MIT"
] | null | null | null | from django.conf import settings
from django.conf.urls import include, url
from django.contrib import admin
from datenight.views import HomePageView
urlpatterns = [
# Examples:
url(r'^$', HomePageView.as_view(), name='home'),
# url(r'^blog/', include('blog.urls')),
url(r'^admin/rq/', include('django... | 27.608696 | 83 | 0.696063 |
dcf431fc5aea71e31c30dbdd5ee59dfa4598f2c6 | 8,337 | py | Python | plugins/view/tightening_controller_views.py | masami10/airflow | 3df5353d7a31ec890925dc4fd7c2a82fd349a483 | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 1 | 2021-03-03T07:00:02.000Z | 2021-03-03T07:00:02.000Z | plugins/view/tightening_controller_views.py | masami10/airflow | 3df5353d7a31ec890925dc4fd7c2a82fd349a483 | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 36 | 2021-11-26T00:08:49.000Z | 2021-11-26T00:09:33.000Z | plugins/view/tightening_controller_views.py | masami10/airflow | 3df5353d7a31ec890925dc4fd7c2a82fd349a483 | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 3 | 2020-06-30T02:38:17.000Z | 2022-01-19T06:14:08.000Z | # -*- coding: utf-8 -*-
from flask import flash, make_response, request
import json
from flask_babel import lazy_gettext, gettext
from datetime import datetime
from flask_login import current_user
from flask_appbuilder.actions import action
from flask_appbuilder import expose
from flask import redirect
from plugins.com... | 36.247826 | 119 | 0.689816 |
dcf4b8560b916ceca9700c2e7bf16bb6a53c4588 | 3,601 | py | Python | src/python/nimbusml/internal/entrypoints/models_ovamodelcombiner.py | GalOshri/NimbusML | a2ba6f51b7c8cdd3c3316d5ecf4605621be3bd8d | [
"MIT"
] | 2 | 2019-03-01T01:22:54.000Z | 2019-07-10T19:57:38.000Z | src/python/nimbusml/internal/entrypoints/models_ovamodelcombiner.py | GalOshri/NimbusML | a2ba6f51b7c8cdd3c3316d5ecf4605621be3bd8d | [
"MIT"
] | null | null | null | src/python/nimbusml/internal/entrypoints/models_ovamodelcombiner.py | GalOshri/NimbusML | a2ba6f51b7c8cdd3c3316d5ecf4605621be3bd8d | [
"MIT"
] | null | null | null | # - Generated by tools/entrypoint_compiler.py: do not edit by hand
"""
Models.OvaModelCombiner
"""
from ..utils.entrypoints import EntryPoint
from ..utils.utils import try_set, unlist
def models_ovamodelcombiner(
training_data,
predictor_model=None,
model_array=None,
use_probabilitie... | 31.867257 | 71 | 0.599833 |
dcf50395b719a7f5d100f42a4c173a03d2453dfa | 2,496 | py | Python | kraken/public/views.py | peterdemartini/KrakenMaster | 2b3ed18f6dcc720e66e1ac397a3b5ee902914e58 | [
"BSD-3-Clause"
] | 1 | 2016-12-22T22:25:05.000Z | 2016-12-22T22:25:05.000Z | kraken/public/views.py | peterdemartini/KrakenMaster | 2b3ed18f6dcc720e66e1ac397a3b5ee902914e58 | [
"BSD-3-Clause"
] | null | null | null | kraken/public/views.py | peterdemartini/KrakenMaster | 2b3ed18f6dcc720e66e1ac397a3b5ee902914e58 | [
"BSD-3-Clause"
] | 1 | 2022-03-28T00:28:07.000Z | 2022-03-28T00:28:07.000Z | # -*- coding: utf-8 -*-
'''Public section, including homepage and signup.'''
from flask import (Blueprint, request, render_template, flash, url_for,
redirect, session)
from flask.ext.login import login_user, login_required, logout_user
from kraken.extensions import login_manager
from kraken.user.mo... | 34.666667 | 93 | 0.659054 |
dcf7760ee0ea08cc59fe587411f1de19eb0c37fe | 374 | py | Python | web/game/migrations/0002_message_visible.py | ihsgnef/kuiperbowl | a0c3e346bc05ed149fdb34f12b872c983a40613e | [
"MIT"
] | null | null | null | web/game/migrations/0002_message_visible.py | ihsgnef/kuiperbowl | a0c3e346bc05ed149fdb34f12b872c983a40613e | [
"MIT"
] | 5 | 2019-10-01T03:34:43.000Z | 2020-05-26T14:28:40.000Z | web/game/migrations/0002_message_visible.py | jasmaa/quizbowl | 282fe17217891266da96bcf1a9da4af5eff80fcc | [
"MIT"
] | 1 | 2021-05-10T01:46:45.000Z | 2021-05-10T01:46:45.000Z | # Generated by Django 2.2.7 on 2020-05-29 19:44
from django.db import migrations, models
| 19.684211 | 52 | 0.585561 |
dcf7946f10ce6e7e4b323d54039dd26ab7fa02da | 271 | py | Python | problem_49/test_prime_permutations.py | plilja/project-euler | 646d1989cf15e903ef7e3c6e487284847d522ec9 | [
"Apache-2.0"
] | null | null | null | problem_49/test_prime_permutations.py | plilja/project-euler | 646d1989cf15e903ef7e3c6e487284847d522ec9 | [
"Apache-2.0"
] | null | null | null | problem_49/test_prime_permutations.py | plilja/project-euler | 646d1989cf15e903ef7e3c6e487284847d522ec9 | [
"Apache-2.0"
] | null | null | null | import unittest
from prime_permutations import *
if __name__ == '__main__':
unittest.main()
| 20.846154 | 82 | 0.741697 |
dcf7baef1e6706bbb04fa4359be5af5f09500ebe | 1,495 | py | Python | lecture10/inventory_hitting_time.py | BenGravell/optimal-control-course | ae8ab619b5c138f79d466d9c6dfc7af46b2a23b6 | [
"MIT"
] | null | null | null | lecture10/inventory_hitting_time.py | BenGravell/optimal-control-course | ae8ab619b5c138f79d466d9c6dfc7af46b2a23b6 | [
"MIT"
] | null | null | null | lecture10/inventory_hitting_time.py | BenGravell/optimal-control-course | ae8ab619b5c138f79d466d9c6dfc7af46b2a23b6 | [
"MIT"
] | null | null | null | import numpy as np
import numpy.linalg as la
import matplotlib.pyplot as plt
capacity = 6
prob_demand_mass = np.array([0.7, 0.2, 0.1])
prob_demand_supp = np.array([0, 1, 2])
T = 50
P = np.array([[0, 0, 0, 0, prob_demand_mass[0], prob_demand_mass[1], prob_demand_mass[2]],
[0, 0, 0, 0, prob_demand_mass[0... | 36.463415 | 102 | 0.656856 |
dcfa4eb39a27cde22f1cd1ef58378d755009e643 | 1,177 | py | Python | mongoproj/First_Q_City/Paris.py | OuassimAKEBLI/MongoDB | d224a8d7e2a2bd8451b2b46e39602e085994c6b8 | [
"Apache-2.0"
] | null | null | null | mongoproj/First_Q_City/Paris.py | OuassimAKEBLI/MongoDB | d224a8d7e2a2bd8451b2b46e39602e085994c6b8 | [
"Apache-2.0"
] | null | null | null | mongoproj/First_Q_City/Paris.py | OuassimAKEBLI/MongoDB | d224a8d7e2a2bd8451b2b46e39602e085994c6b8 | [
"Apache-2.0"
] | null | null | null | import requests
import json
from pprint import pprint
from pymongo import MongoClient
v_paris = get_vparis()
v_paris_to_insert = [
{
'name': elem.get('fields', {}).get('name', '').title(),
'geometry': elem.get('geometry'),
'size': elem.get('fields', {}).get('capacity'),
'source':... | 30.179487 | 119 | 0.641461 |
dcfc51bcf5d6a13b28a3e162e544af447ae8e347 | 681 | py | Python | Youcheng/twitter_REST.py | xiaoli-chen/Godel | 181b347aa88220b0e3e9ae628089f5acd1e6f170 | [
"Apache-2.0"
] | null | null | null | Youcheng/twitter_REST.py | xiaoli-chen/Godel | 181b347aa88220b0e3e9ae628089f5acd1e6f170 | [
"Apache-2.0"
] | null | null | null | Youcheng/twitter_REST.py | xiaoli-chen/Godel | 181b347aa88220b0e3e9ae628089f5acd1e6f170 | [
"Apache-2.0"
] | null | null | null | #from twython import Twython
from twitter import Twitter, OAuth, TwitterHTTPError, TwitterStream
import json
CONSUMER_KEY = 'pxeqo0ylpUayIIl5Nlc2kBmkb'
CONSUMER_SECRET = 'JUAAG5ilMS9TxZN1Y0ZKwPhsamtE3gFoIYTnKfwWTGqGmF6zXL'
ACCESS_TOKEN = '395150986-GiB9RbBtrjjiEetZ977wtQwYGVWCuhiPMir0962F'
ACCESS_SECRET = 'DUk5aVVGGy... | 32.428571 | 78 | 0.806167 |
dcfe313a4570b1136b9927ba85fb05f98e2c3f09 | 2,903 | py | Python | app/risk/RiskEngine.py | OuissalTAIM/jenkins | 7ea5bcdeb6c0bb3cc14c2826a68e4f521de163c1 | [
"BSD-1-Clause"
] | null | null | null | app/risk/RiskEngine.py | OuissalTAIM/jenkins | 7ea5bcdeb6c0bb3cc14c2826a68e4f521de163c1 | [
"BSD-1-Clause"
] | 6 | 2021-02-02T22:52:41.000Z | 2022-03-12T00:37:30.000Z | app/risk/RiskEngine.py | OuissalTAIM/jenkins | 7ea5bcdeb6c0bb3cc14c2826a68e4f521de163c1 | [
"BSD-1-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from app.data.DataManager import DataManager
from app.model.Simulator import Simulator
from app.data.Client import Driver
from app.tools.Logger import logger_sensitivity as logger
from app.model.ScenarioGenerator import ScenarioGeneratorFactory as SGF
from app.config.env import ScenarioGenerat... | 42.072464 | 122 | 0.619015 |
0d00ee6cb81689f5aa3f9ed7df94760a8859265c | 2,129 | py | Python | upf/python/upf.py | aiplan4eu/upf-poc | 616c4044a4d0f26dc00aa3d371f61329b173bf8f | [
"Apache-2.0"
] | null | null | null | upf/python/upf.py | aiplan4eu/upf-poc | 616c4044a4d0f26dc00aa3d371f61329b173bf8f | [
"Apache-2.0"
] | null | null | null | upf/python/upf.py | aiplan4eu/upf-poc | 616c4044a4d0f26dc00aa3d371f61329b173bf8f | [
"Apache-2.0"
] | null | null | null | import importlib
from dataclasses import dataclass
from typing import FrozenSet, Callable, List
class Solver():
class LinkedSolver(Solver):
from contextlib import contextmanager
if __name__ == '__main__':
size = 10
problem = generate_problem(size)
planners = ['cppplanner_upf', 'pyplanner_upf', '... | 25.963415 | 104 | 0.610146 |
0d034550164c2e8133c022210ebe779bc78107db | 1,547 | py | Python | rnnparser/RecursiveNN/tests/test_code_gen.py | uphere-co/nlp-prototype | c4623927e5c5c5f9c3e702eb36497ea1d9fd1ff3 | [
"BSD-3-Clause"
] | null | null | null | rnnparser/RecursiveNN/tests/test_code_gen.py | uphere-co/nlp-prototype | c4623927e5c5c5f9c3e702eb36497ea1d9fd1ff3 | [
"BSD-3-Clause"
] | null | null | null | rnnparser/RecursiveNN/tests/test_code_gen.py | uphere-co/nlp-prototype | c4623927e5c5c5f9c3e702eb36497ea1d9fd1ff3 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
import numpy as np
import pytest
from recursiveNN.nodes import Val,Var,VSF, Add,Mul,Dot,CTimes,Transpose, Node
| 38.675 | 100 | 0.553975 |
0d05520e82655910896021870c67e33da2f6dc74 | 569 | py | Python | tests/api/schemas/test_product_schema.py | igor822/product-categorization | e9c64834bf60cd9d51ab9b696b1b3ea49e702c9d | [
"MIT"
] | 19 | 2018-11-13T15:12:12.000Z | 2022-01-31T20:43:26.000Z | tests/api/schemas/test_product_schema.py | igor822/product-categorization | e9c64834bf60cd9d51ab9b696b1b3ea49e702c9d | [
"MIT"
] | null | null | null | tests/api/schemas/test_product_schema.py | igor822/product-categorization | e9c64834bf60cd9d51ab9b696b1b3ea49e702c9d | [
"MIT"
] | 8 | 2019-03-07T03:32:43.000Z | 2020-11-13T01:51:03.000Z | import unittest
import pytest
from src.api.schemas.product_schema import ProductSchema
| 27.095238 | 76 | 0.683656 |
0d058e1ee4a48662be58d98c65151d8e58a92c4b | 430 | py | Python | InterAutoTest_W/testcase/t_pytest/pytest_class.py | xuguoyan/pytest_api3 | c83d8b1fbd2b061db9d6dee40068ac84ae81c708 | [
"MIT"
] | 7 | 2019-11-28T07:17:37.000Z | 2020-10-28T08:24:09.000Z | InterAutoTest_W/testcase/t_pytest/pytest_class.py | xuguoyan/pytest_api3 | c83d8b1fbd2b061db9d6dee40068ac84ae81c708 | [
"MIT"
] | null | null | null | InterAutoTest_W/testcase/t_pytest/pytest_class.py | xuguoyan/pytest_api3 | c83d8b1fbd2b061db9d6dee40068ac84ae81c708 | [
"MIT"
] | 7 | 2021-01-10T14:11:10.000Z | 2022-02-28T12:41:04.000Z | #coding=utf-8
"""
1.;
2.test
3.setup_class, teardown_class
4.
"""
import pytest
if __name__ == "__main__":
pytest.main(['-s', 'pytest_class.py']) | 17.2 | 43 | 0.588372 |
0d094d21102a554dd26ab1f57fd940c5c211f30e | 1,469 | py | Python | tests/test_cmd.py | mick88/poeditor-sync | 2326b0ff6c0537b3d4ff729fd45b079e0789d2c7 | [
"MIT"
] | 6 | 2021-07-16T14:19:44.000Z | 2022-03-10T10:27:39.000Z | tests/test_cmd.py | mick88/poeditor-sync | 2326b0ff6c0537b3d4ff729fd45b079e0789d2c7 | [
"MIT"
] | 9 | 2021-07-10T15:57:52.000Z | 2021-10-17T11:44:24.000Z | tests/test_cmd.py | mick88/poeditor-sync | 2326b0ff6c0537b3d4ff729fd45b079e0789d2c7 | [
"MIT"
] | null | null | null | from unittest import TestCase
from click.testing import CliRunner, Result
from poeditor_sync.cmd import poeditor
| 36.725 | 122 | 0.684139 |
0d09b1f3b7cd0f00460955d0c6f059dbe658e86b | 3,472 | py | Python | cats/cats_simus/vortex.py | brunellacarlomagno/CATS | 2fb85366dbca81736d75a982156674523632414f | [
"MIT"
] | null | null | null | cats/cats_simus/vortex.py | brunellacarlomagno/CATS | 2fb85366dbca81736d75a982156674523632414f | [
"MIT"
] | null | null | null | cats/cats_simus/vortex.py | brunellacarlomagno/CATS | 2fb85366dbca81736d75a982156674523632414f | [
"MIT"
] | null | null | null | import numpy as np
import cv2
import proper
from cats.cats_simus import *
| 51.058824 | 191 | 0.615495 |
0d0a48c167ff778fcf72beb6012207a10ec69a12 | 1,119 | py | Python | Search/rotated/Solution.py | Voley/AlgorithmicProblemsV2 | 0c70e4fe61b66ae3f648ee6dada4dd75a4234edd | [
"MIT"
] | null | null | null | Search/rotated/Solution.py | Voley/AlgorithmicProblemsV2 | 0c70e4fe61b66ae3f648ee6dada4dd75a4234edd | [
"MIT"
] | null | null | null | Search/rotated/Solution.py | Voley/AlgorithmicProblemsV2 | 0c70e4fe61b66ae3f648ee6dada4dd75a4234edd | [
"MIT"
] | null | null | null |
# Problem code
| 27.292683 | 62 | 0.544236 |
0d0ada3c223ce67e0153b8f576b9926c738f9141 | 21,631 | py | Python | pysnmp/CISCO-EMBEDDED-EVENT-MGR-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 11 | 2021-02-02T16:27:16.000Z | 2021-08-31T06:22:49.000Z | pysnmp/CISCO-EMBEDDED-EVENT-MGR-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 75 | 2021-02-24T17:30:31.000Z | 2021-12-08T00:01:18.000Z | pysnmp/CISCO-EMBEDDED-EVENT-MGR-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module CISCO-EMBEDDED-EVENT-MGR-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/CISCO-EMBEDDED-EVENT-MGR-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 17:39:13 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python vers... | 142.309211 | 3,183 | 0.773473 |
0d0b5671587550eca8af9d7486e1e9c27446306c | 277 | py | Python | src/util_walk_sftp.py | Chrisebell24/walk_sftp | 65dcb4e4231fabe8f8d9f2a6b595371c31ddc0d6 | [
"MIT"
] | null | null | null | src/util_walk_sftp.py | Chrisebell24/walk_sftp | 65dcb4e4231fabe8f8d9f2a6b595371c31ddc0d6 | [
"MIT"
] | null | null | null | src/util_walk_sftp.py | Chrisebell24/walk_sftp | 65dcb4e4231fabe8f8d9f2a6b595371c31ddc0d6 | [
"MIT"
] | null | null | null | import paramiko | 34.625 | 50 | 0.696751 |
0d0cfb3214f9d822574bd483b912ab38da359e78 | 13,211 | py | Python | Project_2/source/project_2.py | larsjbro/FYS4150 | 95ac4e09b5aad133b29c9aabb5be1302abdd8e65 | [
"BSD-2-Clause"
] | null | null | null | Project_2/source/project_2.py | larsjbro/FYS4150 | 95ac4e09b5aad133b29c9aabb5be1302abdd8e65 | [
"BSD-2-Clause"
] | null | null | null | Project_2/source/project_2.py | larsjbro/FYS4150 | 95ac4e09b5aad133b29c9aabb5be1302abdd8e65 | [
"BSD-2-Clause"
] | null | null | null | '''
Created on 14. sep. 2017 v2
@author: LJB
'''
from __future__ import division, absolute_import
from numba import jit, float64, int64, void
import numpy as np
import matplotlib.pyplot as plt
import timeit
_DPI = 250
_SIZE = 0.7
def cpu_time(repetition=10, n=100):
'''
Grid n =10^6 and two repetitions ga... | 32.379902 | 119 | 0.594202 |
0d0d282cf5109854c1ac67b2906a8fd2bb27e9ac | 266 | py | Python | L.py | tomerl20-meet/meet2018y1mini-proj | 5c66652b900c50d0b30326170c21e1b1224c649a | [
"MIT"
] | null | null | null | L.py | tomerl20-meet/meet2018y1mini-proj | 5c66652b900c50d0b30326170c21e1b1224c649a | [
"MIT"
] | null | null | null | L.py | tomerl20-meet/meet2018y1mini-proj | 5c66652b900c50d0b30326170c21e1b1224c649a | [
"MIT"
] | null | null | null | import turtle
screen = turtle.Screen()
# this assures that the size of the screen will always be 400x400 ...
screen.setup(400, 400)
# ... which is the same size as our image
# now set the background to our space image
screen.bgpic("game.over")
turtle.mainloop()
| 20.461538 | 69 | 0.729323 |
0d0dad0715867923a463d0648e569bd453764be1 | 844 | py | Python | demo.py | PAV-Laboratory/cryptoblotter | f573592a3638fbc6cae24d76305de36b932949c6 | [
"MIT"
] | 1 | 2021-08-01T19:16:02.000Z | 2021-08-01T19:16:02.000Z | demo.py | PAV-Laboratory/cryptoblotter | f573592a3638fbc6cae24d76305de36b932949c6 | [
"MIT"
] | null | null | null | demo.py | PAV-Laboratory/cryptoblotter | f573592a3638fbc6cae24d76305de36b932949c6 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from cryptofeed import FeedHandler
from cryptofeed.defines import TRADES
from cryptoblotter.exchanges import CoinbaseBlotter
from cryptoblotter.trades import SequentialIntegerTradeCallback, ThreshCallback
from cryptoblotter.trades.constants import VOLUME
if __name__ == "__main__":
fh = F... | 24.823529 | 79 | 0.562796 |
0d0e450b602d94ac05485326e1145ffc9479645d | 29,665 | py | Python | mars/tensor/datasource/tests/test_datasource.py | HarshCasper/mars | 4c12c968414d666c7a10f497bc22de90376b1932 | [
"Apache-2.0"
] | 2 | 2019-03-29T04:11:10.000Z | 2020-07-08T10:19:54.000Z | mars/tensor/datasource/tests/test_datasource.py | HarshCasper/mars | 4c12c968414d666c7a10f497bc22de90376b1932 | [
"Apache-2.0"
] | null | null | null | mars/tensor/datasource/tests/test_datasource.py | HarshCasper/mars | 4c12c968414d666c7a10f497bc22de90376b1932 | [
"Apache-2.0"
] | null | null | null | # Copyright 1999-2020 Alibaba Group Holding Ltd.
#
# 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 a... | 38.228093 | 103 | 0.607821 |
0d0f8d40c6da19e8a82a8164266b4e9bf0bbd18d | 1,259 | py | Python | setup.py | n1k0r/tplink-wr-api | 7f4e29b4b08cf6564b06d9bc3381ab5682afd83f | [
"MIT"
] | 5 | 2021-11-02T13:13:10.000Z | 2021-12-14T14:13:28.000Z | setup.py | n1k0r/tplink-wr-api | 7f4e29b4b08cf6564b06d9bc3381ab5682afd83f | [
"MIT"
] | null | null | null | setup.py | n1k0r/tplink-wr-api | 7f4e29b4b08cf6564b06d9bc3381ab5682afd83f | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from setuptools import find_packages, setup
with open("README.md", "r", encoding="utf-8") as f:
long_description = f.read()
setup(
name="tplink-wr-api",
version="0.2.1",
url="https://github.com/n1k0r/tplink-wr-api",
author="n1k0r",
author_email="me@n1k0r.me",
descript... | 32.282051 | 59 | 0.619539 |
0d10a5908b7fb6316071dd7f27f26e87d1e2419d | 5,835 | py | Python | examples/qp2q/preprocessing/session_data_processing.py | xeisberg/pecos | c9cf209676205dd000479861667351e724f0ba1c | [
"Apache-2.0"
] | 288 | 2021-04-26T21:34:12.000Z | 2022-03-29T19:50:06.000Z | examples/qp2q/preprocessing/session_data_processing.py | xeisberg/pecos | c9cf209676205dd000479861667351e724f0ba1c | [
"Apache-2.0"
] | 32 | 2021-04-29T23:58:23.000Z | 2022-03-28T17:23:04.000Z | examples/qp2q/preprocessing/session_data_processing.py | xeisberg/pecos | c9cf209676205dd000479861667351e724f0ba1c | [
"Apache-2.0"
] | 63 | 2021-04-28T20:12:59.000Z | 2022-03-29T14:10:36.000Z | """The module contains functions to preprocess input
datasets into usable format."""
import gc
import gzip
import json
import logging
import multiprocessing as mp
import pathlib
import sys
from itertools import repeat
import numpy as np
import scipy.sparse as smat
logging.basicConfig(
stream=sys.stdout,
format... | 28.188406 | 100 | 0.605484 |