hexsha stringlengths 40 40 | size int64 5 2.06M | ext stringclasses 10
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 3 248 | max_stars_repo_name stringlengths 5 125 | max_stars_repo_head_hexsha stringlengths 40 78 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 191k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 3 248 | max_issues_repo_name stringlengths 5 125 | max_issues_repo_head_hexsha stringlengths 40 78 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 67k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 3 248 | max_forks_repo_name stringlengths 5 125 | max_forks_repo_head_hexsha stringlengths 40 78 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 105k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 5 2.06M | avg_line_length float64 1 1.02M | max_line_length int64 3 1.03M | alphanum_fraction float64 0 1 | count_classes int64 0 1.6M | score_classes float64 0 1 | count_generators int64 0 651k | score_generators float64 0 1 | count_decorators int64 0 990k | score_decorators float64 0 1 | count_async_functions int64 0 235k | score_async_functions float64 0 1 | count_documentation int64 0 1.04M | score_documentation float64 0 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
e4fbf9c4787bd6c823e79265ebbbdf508f8294f4 | 4,200 | py | Python | src/openclimategis/util/ncconv/experimental/ocg_converter/csv_.py | Peshal1067/OpenClimateGIS | 297db6ae1f6dd8459ede6bed905c8d85bd93c5d6 | [
"BSD-3-Clause"
] | 3 | 2015-04-23T09:09:04.000Z | 2020-02-26T17:40:19.000Z | src/openclimategis/util/ncconv/experimental/ocg_converter/csv_.py | arthur-e/OpenClimateGIS | 297db6ae1f6dd8459ede6bed905c8d85bd93c5d6 | [
"BSD-3-Clause"
] | null | null | null | src/openclimategis/util/ncconv/experimental/ocg_converter/csv_.py | arthur-e/OpenClimateGIS | 297db6ae1f6dd8459ede6bed905c8d85bd93c5d6 | [
"BSD-3-Clause"
] | 2 | 2017-05-30T10:27:36.000Z | 2020-11-09T13:52:58.000Z | import io
import zipfile
import csv
from util.ncconv.experimental.ocg_converter.subocg_converter import SubOcgConverter
class CsvConverter(SubOcgConverter):
# __headers__ = ['OCGID','GID','TIME','LEVEL','VALUE','AREA_M2','WKT','WKB']
def __init__(self,*args,**kwds):
self.as_wkt = kwds.pop('as_wkt'... | 37.837838 | 97 | 0.553095 | 4,067 | 0.968333 | 0 | 0 | 0 | 0 | 0 | 0 | 1,714 | 0.408095 |
9001723e3ad1821cbe597698ec69edc8b0731984 | 839 | py | Python | uninas/modules/modules/cnn.py | cogsys-tuebingen/uninas | 06729b9cf517ec416fb798ae387c5bd9c3a278ac | [
"MIT"
] | 18 | 2020-11-22T16:03:08.000Z | 2022-03-15T12:11:46.000Z | uninas/modules/modules/cnn.py | cogsys-tuebingen/uninas | 06729b9cf517ec416fb798ae387c5bd9c3a278ac | [
"MIT"
] | 2 | 2022-01-04T08:10:17.000Z | 2022-01-05T08:13:14.000Z | uninas/modules/modules/cnn.py | cogsys-tuebingen/uninas | 06729b9cf517ec416fb798ae387c5bd9c3a278ac | [
"MIT"
] | 6 | 2021-03-08T07:08:52.000Z | 2022-02-24T12:00:43.000Z | import torch
import torch.nn as nn
class SqueezeModule(nn.Module):
def forward(self, x: torch.Tensor) -> torch.Tensor:
return x.squeeze()
class GapSqueezeModule(nn.Module):
""" global average pooling and squeezing """
def __init__(self):
super().__init__()
self.gap = nn.Adaptive... | 27.064516 | 95 | 0.640048 | 795 | 0.947557 | 0 | 0 | 0 | 0 | 0 | 0 | 44 | 0.052443 |
9003b0f6d049c9acbb898890fc3e7195ecd16b28 | 1,634 | py | Python | arcade/gui/examples/anchor_widgets.py | akapkotel/arcade | 6e43ec53e7bfa3dee1aa574404794e3695aad381 | [
"MIT"
] | null | null | null | arcade/gui/examples/anchor_widgets.py | akapkotel/arcade | 6e43ec53e7bfa3dee1aa574404794e3695aad381 | [
"MIT"
] | 1 | 2022-03-21T06:24:29.000Z | 2022-03-21T06:24:29.000Z | arcade/gui/examples/anchor_widgets.py | Ibrahim2750mi/arcade | bf3229e64117931bffb8e50926a996a7a8fc9b8b | [
"MIT"
] | null | null | null | """
Example shows how to use UIAnchorWidget to position widgets on screen.
Dummy widgets indicate hovered, pressed and clicked.
"""
import arcade
from arcade.gui import UIManager
from arcade.gui.widgets import UIDummy
from arcade.gui.widgets.layout import UIAnchorLayout
class UIMockup(arcade.Window):
def __init_... | 24.38806 | 70 | 0.570991 | 1,324 | 0.810282 | 0 | 0 | 0 | 0 | 0 | 0 | 239 | 0.146267 |
90041b2eae192a57fb04bf6a09bec2f9aae7dce1 | 3,897 | py | Python | tools/e2e_inference.py | nanit/deep-high-resolution-net.pytorch | 17226df8effda518c47355e85f4733638c20297a | [
"MIT"
] | null | null | null | tools/e2e_inference.py | nanit/deep-high-resolution-net.pytorch | 17226df8effda518c47355e85f4733638c20297a | [
"MIT"
] | 2 | 2021-09-23T12:59:27.000Z | 2021-11-01T12:21:51.000Z | tools/e2e_inference.py | nanit/deep-high-resolution-net.pytorch | 17226df8effda518c47355e85f4733638c20297a | [
"MIT"
] | null | null | null | import os
import glob
import pickle
import sys
import tensorflow as tf
from numba import cuda
from python_tools.OSUtils import ensure_dir
from offline_predict import get_boxes_from_detection_predictions_data, convert_boxes_to_bboxes, predict_on_image_list, load_skeleton_model
DETECTION_RESEARCH_FOLDER = os.path.expand... | 45.847059 | 138 | 0.744419 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 724 | 0.185784 |
9007054fb0674671d547ac9d0adee85e1c24f33c | 1,234 | py | Python | analytics/extract/bare/funds-explorer/scrap_ranking.py | vicmattos/data-invest | 4318a33117583bf492b45c69c957fd0ea2c455e1 | [
"MIT"
] | null | null | null | analytics/extract/bare/funds-explorer/scrap_ranking.py | vicmattos/data-invest | 4318a33117583bf492b45c69c957fd0ea2c455e1 | [
"MIT"
] | null | null | null | analytics/extract/bare/funds-explorer/scrap_ranking.py | vicmattos/data-invest | 4318a33117583bf492b45c69c957fd0ea2c455e1 | [
"MIT"
] | null | null | null | #!/usr/bin/python
import os
import csv
import time
from datetime import datetime
import requests
from bs4 import BeautifulSoup
url = 'https://www.fundsexplorer.com.br/ranking'
# Data Cleansing
# 'R$' => ''
# '%' => ''
# '.0' => ''
# '.' => ''
# ',' => '.'
# 'N/A' => ''
print("Starting...{}".format(datetime.now())... | 20.915254 | 147 | 0.627229 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 295 | 0.23906 |
9009e3424db2d10a8ac51689c842cea2498a6040 | 14,546 | py | Python | stentseg/apps/_3DPointSelector.py | almarklein/stentseg | 48255fffdc2394d1dc4ce2208c9a91e1d4c35a46 | [
"BSD-3-Clause"
] | 1 | 2020-08-28T16:34:10.000Z | 2020-08-28T16:34:10.000Z | stentseg/apps/_3DPointSelector.py | almarklein/stentseg | 48255fffdc2394d1dc4ce2208c9a91e1d4c35a46 | [
"BSD-3-Clause"
] | null | null | null | stentseg/apps/_3DPointSelector.py | almarklein/stentseg | 48255fffdc2394d1dc4ce2208c9a91e1d4c35a46 | [
"BSD-3-Clause"
] | 1 | 2021-04-25T06:59:36.000Z | 2021-04-25T06:59:36.000Z | """ Module 3D Point Selector
Provides functionality view slices and to select points in multiplanar reconstructions.
"""
import os, time, sys
import numpy as np
import visvis as vv
from visvis.utils.pypoints import Point, Pointset, Aarray
import OpenGL.GL as gl
import OpenGL.GLU as glu
class VolViewer:
... | 36.732323 | 110 | 0.564691 | 12,342 | 0.848481 | 0 | 0 | 75 | 0.005156 | 0 | 0 | 2,162 | 0.148632 |
900c0665baf28282fa05f41faa6b983f942bdbf2 | 343 | py | Python | crossasr/estimator.py | mhilmiasyrofi/CrossASRv2 | 202b9a7caadf5f8d6f115f776526960af35a73a3 | [
"MIT"
] | 3 | 2021-05-12T02:48:06.000Z | 2021-12-21T14:45:56.000Z | crossasr/estimator.py | mhilmiasyrofi/CrossASRv2 | 202b9a7caadf5f8d6f115f776526960af35a73a3 | [
"MIT"
] | null | null | null | crossasr/estimator.py | mhilmiasyrofi/CrossASRv2 | 202b9a7caadf5f8d6f115f776526960af35a73a3 | [
"MIT"
] | 1 | 2021-06-14T11:15:35.000Z | 2021-06-14T11:15:35.000Z | class Estimator:
def __init__(self, name:str):
self.name = name
def getName(self) -> str :
return self.name
def setName(self, name:str):
self.name = name
def fit(self, X:[str], y:[int]):
raise NotImplementedError()
def predict(self, X:[str]):
raise... | 21.4375 | 36 | 0.571429 | 342 | 0.997085 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
900c0768bdb748b6c9e90f7a675de1895a6d4acc | 4,386 | py | Python | app/api/V1/views/auth_endpoints.py | eduhmik/Store-Manager-api | 50395d39758800784fbd0b3e516b8bedc900cdeb | [
"MIT"
] | null | null | null | app/api/V1/views/auth_endpoints.py | eduhmik/Store-Manager-api | 50395d39758800784fbd0b3e516b8bedc900cdeb | [
"MIT"
] | 8 | 2018-10-24T01:33:32.000Z | 2019-10-21T17:36:01.000Z | app/api/V1/views/auth_endpoints.py | eduhmik/Store-Manager-api | 50395d39758800784fbd0b3e516b8bedc900cdeb | [
"MIT"
] | 1 | 2018-10-19T21:57:48.000Z | 2018-10-19T21:57:48.000Z | from flask import Flask, request, jsonify, Blueprint, json, make_response
from flask_restplus import Resource, reqparse, Api, Namespace, fields
from ..models.user_model import User
api = Namespace('Register Endpoint', description='A collection of register endpoints for the user model')
ns = Namespace('Users Endpoints... | 33.227273 | 105 | 0.559052 | 1,731 | 0.394665 | 0 | 0 | 1,793 | 0.408801 | 0 | 0 | 1,080 | 0.246238 |
900d82f05310f821f29ddc9642e0427552a38aae | 2,687 | py | Python | wolfram/wolfram.py | Wyn10/aikaterna-cogs | a7fd5930f90b4046296ce98406639219c38302a7 | [
"MIT"
] | null | null | null | wolfram/wolfram.py | Wyn10/aikaterna-cogs | a7fd5930f90b4046296ce98406639219c38302a7 | [
"MIT"
] | null | null | null | wolfram/wolfram.py | Wyn10/aikaterna-cogs | a7fd5930f90b4046296ce98406639219c38302a7 | [
"MIT"
] | 1 | 2019-03-30T05:18:42.000Z | 2019-03-30T05:18:42.000Z | import os
import aiohttp
from discord.ext import commands
import xml.etree.ElementTree as ET
from cogs.utils.dataIO import dataIO
from .utils import checks
from .utils.chat_formatting import escape_mass_mentions
from .utils.chat_formatting import box
from __main__ import send_cmd_help
class Wolfram:
def __init__(... | 32.373494 | 100 | 0.593971 | 1,926 | 0.716785 | 0 | 0 | 1,777 | 0.661332 | 1,593 | 0.592854 | 620 | 0.230741 |
900e83820d1dd64bbe34d301bee0ba27a36ecb07 | 176 | py | Python | Servers/ProbabilisticServer.py | MartinHex/master-thesis | b5077d9acce60fd42467f73df6e39c61fd3e19b2 | [
"MIT"
] | null | null | null | Servers/ProbabilisticServer.py | MartinHex/master-thesis | b5077d9acce60fd42467f73df6e39c61fd3e19b2 | [
"MIT"
] | 2 | 2022-02-22T11:48:21.000Z | 2022-02-28T15:49:47.000Z | Servers/ProbabilisticServer.py | MartinHex/master-thesis | b5077d9acce60fd42467f73df6e39c61fd3e19b2 | [
"MIT"
] | null | null | null | from abc import ABC,abstractmethod
from Servers.ABCServer import ABCServer
class ProbabilisticServer(ABCServer):
@abstractmethod
def sample_model(self):
pass
| 19.555556 | 39 | 0.767045 | 99 | 0.5625 | 0 | 0 | 56 | 0.318182 | 0 | 0 | 0 | 0 |
900fb0840db60165c43f29441d88fb00f6f55c09 | 718 | py | Python | fastapi_crud/fastapicrud.py | miikapo/fastapi-crud | d8517d93068b0e71fb114a695a41f48570387b9a | [
"Apache-2.0"
] | 5 | 2021-11-02T20:13:41.000Z | 2022-03-19T00:01:53.000Z | fastapi_crud/fastapicrud.py | miikapo/fastapi-crud | d8517d93068b0e71fb114a695a41f48570387b9a | [
"Apache-2.0"
] | null | null | null | fastapi_crud/fastapicrud.py | miikapo/fastapi-crud | d8517d93068b0e71fb114a695a41f48570387b9a | [
"Apache-2.0"
] | null | null | null | from fastapi import Depends
from sqlalchemy.ext.asyncio import AsyncEngine
from sqlalchemy.orm import sessionmaker
from typing import AsyncGenerator
from fastapi_crud.session import Session
from fastapi_crud.router import ModelRouter
from fastapi_crud.types import Model
class FastapiCRUD:
def __init__(self, engi... | 32.636364 | 66 | 0.754875 | 443 | 0.616992 | 137 | 0.190808 | 0 | 0 | 137 | 0.190808 | 0 | 0 |
900fd7a3396de18f3541a06d832b5444ad752082 | 671 | py | Python | migrations/versions/98f3e3ad195c_update_blog_to_add_a_title.py | Josephat-n/myBlog | d2e3b368617cd3ca55b6bd40e6950122967e1d9f | [
"MIT"
] | null | null | null | migrations/versions/98f3e3ad195c_update_blog_to_add_a_title.py | Josephat-n/myBlog | d2e3b368617cd3ca55b6bd40e6950122967e1d9f | [
"MIT"
] | null | null | null | migrations/versions/98f3e3ad195c_update_blog_to_add_a_title.py | Josephat-n/myBlog | d2e3b368617cd3ca55b6bd40e6950122967e1d9f | [
"MIT"
] | null | null | null | """update blog to add a title.
Revision ID: 98f3e3ad195c
Revises: 2d98c5165674
Create Date: 2019-12-02 22:58:10.377423
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '98f3e3ad195c'
down_revision = '2d98c5165674'
branch_labels = None
depends_on = None
def upg... | 23.137931 | 84 | 0.690015 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 402 | 0.599106 |
901066d43a75d83ccca11050c805f23f07e56a57 | 2,691 | py | Python | message/views.py | ThusharaX/mumbleapi | 8435fe9d86869cce81961f42c9860fa3810c171b | [
"Apache-2.0"
] | 187 | 2021-04-24T14:49:44.000Z | 2022-03-31T14:25:22.000Z | message/views.py | ThusharaX/mumbleapi | 8435fe9d86869cce81961f42c9860fa3810c171b | [
"Apache-2.0"
] | 119 | 2021-04-24T18:08:43.000Z | 2022-01-09T00:57:19.000Z | message/views.py | ThusharaX/mumbleapi | 8435fe9d86869cce81961f42c9860fa3810c171b | [
"Apache-2.0"
] | 174 | 2021-04-24T15:57:23.000Z | 2022-03-11T02:09:04.000Z | from rest_framework.decorators import api_view, permission_classes
from rest_framework.permissions import IsAuthenticated
from rest_framework.response import Response
from rest_framework import status
from users.models import UserProfile
from .serializers import MessageSerializer , ThreadSerializer
from .models import ... | 39 | 94 | 0.687105 | 0 | 0 | 0 | 0 | 2,312 | 0.85916 | 0 | 0 | 254 | 0.094389 |
9010af2b84b0a8a7a8c133b624651330f5e4d485 | 3,691 | py | Python | widgets/dialogs/transactions_editor.py | redstorm45/money_analyst | 9ccf8aa4cd7bad7aff21a82ce4219406009f126a | [
"Apache-2.0"
] | null | null | null | widgets/dialogs/transactions_editor.py | redstorm45/money_analyst | 9ccf8aa4cd7bad7aff21a82ce4219406009f126a | [
"Apache-2.0"
] | null | null | null | widgets/dialogs/transactions_editor.py | redstorm45/money_analyst | 9ccf8aa4cd7bad7aff21a82ce4219406009f126a | [
"Apache-2.0"
] | null | null | null | import PyQt5.QtWidgets as Qtw
import PyQt5.QtCore as QtCore
from widgets.labels import LabelsWidget
DATE_FORMAT = 'yyyy-MM-dd'
class TransactionDialog(Qtw.QDialog):
"""
A dialog used to edit a transaction
"""
def __init__(self, parent, model_cat, desc='', category=0, amount=0, date=''):
supe... | 38.051546 | 83 | 0.648605 | 3,565 | 0.964295 | 0 | 0 | 0 | 0 | 0 | 0 | 240 | 0.064918 |
9010dcd0fdbf2d57ab797fb8bac064a9780ede3f | 20,416 | py | Python | octue/cloud/pub_sub/service.py | octue/octue-sdk-python | 31c6e9358d3401ca708f5b3da702bfe3be3e52ce | [
"MIT"
] | 5 | 2020-10-01T12:43:10.000Z | 2022-03-14T17:26:25.000Z | octue/cloud/pub_sub/service.py | octue/octue-sdk-python | 31c6e9358d3401ca708f5b3da702bfe3be3e52ce | [
"MIT"
] | 322 | 2020-06-24T15:55:22.000Z | 2022-03-30T11:49:28.000Z | octue/cloud/pub_sub/service.py | octue/octue-sdk-python | 31c6e9358d3401ca708f5b3da702bfe3be3e52ce | [
"MIT"
] | null | null | null | import base64
import concurrent.futures
import json
import logging
import sys
import time
import traceback as tb
import uuid
from google.api_core import retry
from google.cloud import pubsub_v1
import octue.exceptions
import twined.exceptions
from octue.cloud.credentials import GCPCredentialsManager
from octue.cloud.p... | 43.162791 | 208 | 0.653556 | 19,222 | 0.941516 | 0 | 0 | 0 | 0 | 0 | 0 | 8,752 | 0.428683 |
90124bdf01042879c8d23bc0de43bbfc19264166 | 1,978 | py | Python | Tareas/DistanciaGrafos.py | A01746540/SEM9Algoritmos | 2aaf1a344413dfbece77022a5b34e0c5318aa5e5 | [
"MIT"
] | null | null | null | Tareas/DistanciaGrafos.py | A01746540/SEM9Algoritmos | 2aaf1a344413dfbece77022a5b34e0c5318aa5e5 | [
"MIT"
] | null | null | null | Tareas/DistanciaGrafos.py | A01746540/SEM9Algoritmos | 2aaf1a344413dfbece77022a5b34e0c5318aa5e5 | [
"MIT"
] | null | null | null | from collections import defaultdict
class Graph:
metro = ['El Rosario', 'Instituto del Petroleo', 'Tacuba', 'Hidalgo', 'Tacubaya', 'Deportivo 18 de Marzo',
'Centro Medico', 'Mixcoac', 'Balderas', 'Bellas Artes', 'Guerrero', 'Martin Carrera', 'Zapata',
'Chabacano',
'Salto del... | 25.688312 | 110 | 0.517695 | 1,336 | 0.67543 | 0 | 0 | 0 | 0 | 0 | 0 | 464 | 0.23458 |
9012c72f255c969953043607b7f84aeb3ccb4764 | 9,807 | py | Python | octopus_deploy_swagger_client/models/artifact_resource.py | cvent/octopus-deploy-api-client | 0e03e842e1beb29b132776aee077df570b88366a | [
"Apache-2.0"
] | null | null | null | octopus_deploy_swagger_client/models/artifact_resource.py | cvent/octopus-deploy-api-client | 0e03e842e1beb29b132776aee077df570b88366a | [
"Apache-2.0"
] | null | null | null | octopus_deploy_swagger_client/models/artifact_resource.py | cvent/octopus-deploy-api-client | 0e03e842e1beb29b132776aee077df570b88366a | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
Octopus Server API
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501
OpenAPI spec version: 2019.6.7+Branch.tags-2019.6.7.Sha.aa18dc6809953218c66f57eff7d26481d9b23d6a
Generated by: https://github.com/swagger-api... | 27.940171 | 207 | 0.597634 | 9,407 | 0.959213 | 0 | 0 | 5,276 | 0.537983 | 0 | 0 | 4,896 | 0.499235 |
9012e5a8ed3f5ec28adee161865cc14545390e2d | 1,691 | py | Python | lab04/submited/utils.py | Battleman/InternetAnalyticsW | 005e5de6c0e591be6dc303ec46cc82249e70f666 | [
"MIT"
] | null | null | null | lab04/submited/utils.py | Battleman/InternetAnalyticsW | 005e5de6c0e591be6dc303ec46cc82249e70f666 | [
"MIT"
] | null | null | null | lab04/submited/utils.py | Battleman/InternetAnalyticsW | 005e5de6c0e591be6dc303ec46cc82249e70f666 | [
"MIT"
] | null | null | null | # ######################
# Some useful utilities.
# ######################
import json, os, pickle
def listPrettyPrint(l, n):
"""Prints a list l on n columns to improve readability"""
if(n == 5):
for a,b,c,d,e in zip(l[::5],l[1::5],l[2::5],l[3::5],l[4::5]):
print('{:<22}{:<22}{:<22}{:<22}... | 25.621212 | 69 | 0.474867 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 575 | 0.340035 |
9012f44f49fd46b9f38512bc6891494632f15f28 | 489 | py | Python | primes/factorisation.py | miloszlakomy/algutils | f83c330a0ca31cdac536de811f447820c70ecb38 | [
"MIT"
] | null | null | null | primes/factorisation.py | miloszlakomy/algutils | f83c330a0ca31cdac536de811f447820c70ecb38 | [
"MIT"
] | null | null | null | primes/factorisation.py | miloszlakomy/algutils | f83c330a0ca31cdac536de811f447820c70ecb38 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from algutils.primes import cached_primes
def factorise(n):
if n <= 0:
raise ValueError("n must be a positive integer")
ps = cached_primes.get_primes_list(min_lim=int(n**.5) + 1)
ret = {}
for p in ps:
if n == 1:
break
if p**2 > n: # n is prime
break
i... | 13.971429 | 60 | 0.492843 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 76 | 0.155419 |
901370bb81cfb113acd130dc5b682b50dbdb76b2 | 1,133 | py | Python | NLP/DuSQL-Baseline/text2sql/models/grammar/__init__.py | pkulzb/Research | 88da4910a356f1e95e1e1e05316500055533683d | [
"Apache-2.0"
] | 53 | 2020-03-31T16:20:53.000Z | 2021-11-16T11:48:38.000Z | NLP/DuSQL-Baseline/text2sql/models/grammar/__init__.py | pkulzb/Research | 88da4910a356f1e95e1e1e05316500055533683d | [
"Apache-2.0"
] | 1 | 2020-04-06T08:10:12.000Z | 2020-04-06T08:10:12.000Z | NLP/DuSQL-Baseline/text2sql/models/grammar/__init__.py | pkulzb/Research | 88da4910a356f1e95e1e1e05316500055533683d | [
"Apache-2.0"
] | 53 | 2020-04-01T01:59:08.000Z | 2022-03-14T07:59:58.000Z | # -*- coding:utf8 -*-
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# ... | 41.962963 | 103 | 0.770521 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 774 | 0.683142 |
9015d694e84b3f0cc392aae6d053e1e708a338df | 627 | py | Python | verifai/samplers/__init__.py | jst-qaml/VerifAI | d91bc1289d720c055a36fa0e1ad9f68b986ca1a4 | [
"BSD-3-Clause"
] | 1 | 2020-07-27T13:32:01.000Z | 2020-07-27T13:32:01.000Z | verifai/samplers/__init__.py | shromonag/VerifAI | ace214d1c3282ed5ea63ee3f52457e35f54ebb62 | [
"BSD-3-Clause"
] | null | null | null | verifai/samplers/__init__.py | shromonag/VerifAI | ace214d1c3282ed5ea63ee3f52457e35f54ebb62 | [
"BSD-3-Clause"
] | null | null | null | from .domain_sampler import SamplingError, SplitSampler
from .feature_sampler import FeatureSampler, LateFeatureSampler
from .halton import HaltonSampler
from .cross_entropy import (CrossEntropySampler, ContinuousCrossEntropySampler,
DiscreteCrossEntropySampler)
from .random_sampler import RandomSampler
from .bayes... | 36.882353 | 79 | 0.845295 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 90 | 0.143541 |
90171f9ff5db50b3b195ffb3fb8c3f04d8941fed | 159 | py | Python | sb3_training/gym-iotmarket/setup.py | prasoonpatidar/multiagentRL-resource-sharing | e63ba7fc3c7ab019e9fd109cd45b739e3322152f | [
"MIT"
] | null | null | null | sb3_training/gym-iotmarket/setup.py | prasoonpatidar/multiagentRL-resource-sharing | e63ba7fc3c7ab019e9fd109cd45b739e3322152f | [
"MIT"
] | null | null | null | sb3_training/gym-iotmarket/setup.py | prasoonpatidar/multiagentRL-resource-sharing | e63ba7fc3c7ab019e9fd109cd45b739e3322152f | [
"MIT"
] | null | null | null | from setuptools import setup
setup(name='gym_iotmarket',
version='0.0.1',
install_requires=['gym','scipy','numpy'] # And any other dependencies
) | 26.5 | 76 | 0.685535 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 69 | 0.433962 |
901749f4d47b3e2fe3385b589ae5e10eae1bbab0 | 13,064 | py | Python | mcd2c/cfile/__init__.py | Asdew95/mcd2c | bcec95276a45b4bfd90ece5569246bd5a247368b | [
"Zlib"
] | 3 | 2020-08-18T19:11:39.000Z | 2021-06-13T12:16:41.000Z | mcd2c/cfile/__init__.py | Asdew95/mcd2c | bcec95276a45b4bfd90ece5569246bd5a247368b | [
"Zlib"
] | null | null | null | mcd2c/cfile/__init__.py | Asdew95/mcd2c | bcec95276a45b4bfd90ece5569246bd5a247368b | [
"Zlib"
] | 2 | 2021-06-13T12:16:47.000Z | 2021-12-07T18:52:43.000Z | # Inspired by https://github.com/cogu/cfile
c_indent_char = ' '
def set_indent_char(char):
global c_indent_char
c_indent_char = char
class blank:
def __init__(self, num=1):
self.indent = 0 #Irrelevant, kept because it simplifies sequences
self.num = num
def __str__(self):
#... | 26.770492 | 79 | 0.606782 | 12,102 | 0.926363 | 0 | 0 | 1,380 | 0.105634 | 0 | 0 | 2,448 | 0.187385 |
90179942b479c02a62c0f83dc133fc47dd16d363 | 906 | py | Python | typed_python/compiler/tests/subclass_of_test.py | APrioriInvestments/nativepython | 94e6b09d788e49cbe34b9b0d3c948218d7a8dcc5 | [
"Apache-2.0"
] | 52 | 2019-04-12T18:07:56.000Z | 2019-10-07T10:26:19.000Z | typed_python/compiler/tests/subclass_of_test.py | APrioriInvestments/nativepython | 94e6b09d788e49cbe34b9b0d3c948218d7a8dcc5 | [
"Apache-2.0"
] | 135 | 2019-04-15T12:52:56.000Z | 2019-10-08T18:39:58.000Z | typed_python/compiler/tests/subclass_of_test.py | APrioriInvestments/nativepython | 94e6b09d788e49cbe34b9b0d3c948218d7a8dcc5 | [
"Apache-2.0"
] | 1 | 2019-04-12T13:03:38.000Z | 2019-04-12T13:03:38.000Z | from typed_python import Entrypoint, SubclassOf, Class, Final, Function, ListOf
class A(Class):
pass
class B(A):
pass
class C(B, Final):
pass
def test_can_cast_subclass_of_correctly():
@Function
def f(c: SubclassOf(C)):
return "C"
@f.overload
def f(c: SubclassOf(B)):
... | 18.12 | 79 | 0.540839 | 71 | 0.078366 | 0 | 0 | 312 | 0.344371 | 0 | 0 | 36 | 0.039735 |
9017a7257730a81fd99b9ead002708bc4ceba13e | 1,442 | py | Python | experiments/toy.py | jcrickmer/pyvision | 5aea7cd9a85d7d26196c375275e7bf00c27a8ac8 | [
"MIT"
] | 53 | 2015-03-10T06:20:50.000Z | 2021-06-07T07:34:02.000Z | experiments/toy.py | jcrickmer/pyvision | 5aea7cd9a85d7d26196c375275e7bf00c27a8ac8 | [
"MIT"
] | 1 | 2016-11-20T14:28:38.000Z | 2016-11-20T14:28:38.000Z | experiments/toy.py | jcrickmer/pyvision | 5aea7cd9a85d7d26196c375275e7bf00c27a8ac8 | [
"MIT"
] | 56 | 2015-02-10T20:49:42.000Z | 2021-04-03T05:41:09.000Z | from vision import *
from vision.track import alearn, interpolation
from vision import visualize
from vision.toymaker import *
import os
import multiprocessing
g = Geppetto()
b = Rectangle()
b = b.linear((300,300), 100)
b = b.linear((0,300), 200)
b = b.linear((300,0), 300)
g.add(b)
path = b.groundtruth()
pathdict = d... | 30.041667 | 71 | 0.585298 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 168 | 0.116505 |
90192683a9596914db24fa7e2c76ff1a12788127 | 355 | py | Python | angr/engines/soot/statements/goto.py | Kyle-Kyle/angr | 345b2131a7a67e3a6ffc7d9fd475146a3e12f837 | [
"BSD-2-Clause"
] | 6,132 | 2015-08-06T23:24:47.000Z | 2022-03-31T21:49:34.000Z | angr/engines/soot/statements/goto.py | Kyle-Kyle/angr | 345b2131a7a67e3a6ffc7d9fd475146a3e12f837 | [
"BSD-2-Clause"
] | 2,272 | 2015-08-10T08:40:07.000Z | 2022-03-31T23:46:44.000Z | angr/engines/soot/statements/goto.py | Kyle-Kyle/angr | 345b2131a7a67e3a6ffc7d9fd475146a3e12f837 | [
"BSD-2-Clause"
] | 1,155 | 2015-08-06T23:37:39.000Z | 2022-03-31T05:54:11.000Z |
import logging
from .base import SimSootStmt
l = logging.getLogger('angr.engines.soot.statements.goto')
class SimSootStmt_Goto(SimSootStmt):
def _execute(self):
jmp_target = self._get_bb_addr_from_instr(instr=self.stmt.target)
self._add_jmp_target(target=jmp_target,
... | 25.357143 | 73 | 0.704225 | 245 | 0.690141 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 0.098592 |
901943c57d651786afa2ce40b989408f3ebb4e7f | 979 | py | Python | game/entity/player.py | fisher60/pyweek-2021 | 294b45d768a7e0d85ac67dc4b12384e68fc4f399 | [
"MIT"
] | 8 | 2021-03-27T21:20:28.000Z | 2021-03-31T08:09:26.000Z | game/entity/player.py | fisher60/pyweek-2021 | 294b45d768a7e0d85ac67dc4b12384e68fc4f399 | [
"MIT"
] | 49 | 2021-03-27T21:18:08.000Z | 2021-04-03T02:53:53.000Z | game/entity/player.py | fisher60/pyweek-2021 | 294b45d768a7e0d85ac67dc4b12384e68fc4f399 | [
"MIT"
] | 1 | 2021-04-02T21:58:39.000Z | 2021-04-02T21:58:39.000Z | import arcade
from ..constants import TILE_SIZE, PLAYER_SCALING
from ..utils import Vector
class PlayerInventory:
keys: int = 0
class Player(arcade.Sprite):
def __init__(self, *args, **kwargs):
super().__init__(
"game/assets/sprites/square.png", PLAYER_SCALING, *args, **kwargs
)... | 25.763158 | 77 | 0.597549 | 881 | 0.899898 | 0 | 0 | 105 | 0.107252 | 0 | 0 | 114 | 0.116445 |
901a2b9dfc7f70764388119a93640679584d1a0d | 112 | py | Python | scikits/datasmooth/__init__.py | jjstickel/scikit-datasmooth | 976ab86998d1648506684360ab9d65b8a3ccf078 | [
"BSD-3-Clause"
] | 7 | 2015-06-18T15:34:28.000Z | 2021-09-14T13:04:08.000Z | scikits/datasmooth/__init__.py | jjstickel/scikit-datasmooth | 976ab86998d1648506684360ab9d65b8a3ccf078 | [
"BSD-3-Clause"
] | 2 | 2018-03-10T03:46:39.000Z | 2018-11-27T18:55:13.000Z | scikits/datasmooth/__init__.py | jjstickel/scikit-datasmooth | 976ab86998d1648506684360ab9d65b8a3ccf078 | [
"BSD-3-Clause"
] | 6 | 2015-03-29T07:36:18.000Z | 2020-09-15T16:25:06.000Z | __version__ = '0.7.1'
try:
from regularsmooth import *
except ImportError:
from .regularsmooth import *
| 18.666667 | 32 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0.0625 |
901cb3458a6cbbc2527b80d00c06a9a4f1e903b2 | 2,389 | py | Python | code/tfidf/tfidf.py | vadlamak/strata-teaching-the-elephant-to-read | 5f3963c90c520ac1b7b41d21939230ef5df6414f | [
"Apache-2.0"
] | null | null | null | code/tfidf/tfidf.py | vadlamak/strata-teaching-the-elephant-to-read | 5f3963c90c520ac1b7b41d21939230ef5df6414f | [
"Apache-2.0"
] | 1 | 2021-03-26T00:26:00.000Z | 2021-03-26T00:26:00.000Z | code/tfidf/tfidf.py | vadlamak/strata-teaching-the-elephant-to-read | 5f3963c90c520ac1b7b41d21939230ef5df6414f | [
"Apache-2.0"
] | null | null | null | import math
import string
from itertools import groupby
from operator import itemgetter
from nltk.corpus import stopwords
from nltk.tokenize import wordpunct_tokenize
N = 10788.0 # Number of documents, in float to make division work.
class TermMapper(object):
def __init__(self):
if 'stopwords' in self.... | 25.688172 | 72 | 0.612809 | 1,776 | 0.743407 | 1,010 | 0.422771 | 154 | 0.064462 | 0 | 0 | 134 | 0.05609 |
901d3f9a5542e6bed0daf35f7574ccf1740c36b8 | 1,046 | py | Python | game-watch-api/games/admin.py | fouadsan/game_watch | ca38d283ef8f55499ea520eb52a78ebfac8a77a4 | [
"MIT"
] | null | null | null | game-watch-api/games/admin.py | fouadsan/game_watch | ca38d283ef8f55499ea520eb52a78ebfac8a77a4 | [
"MIT"
] | null | null | null | game-watch-api/games/admin.py | fouadsan/game_watch | ca38d283ef8f55499ea520eb52a78ebfac8a77a4 | [
"MIT"
] | null | null | null | from django.contrib import admin
from admin_interface.models import Theme as Th
from .models import Genre, Platform, Screenshot, Artwork, Mode, PlayerPerspective, Engine, Theme, Game
admin.site.unregister(Th)
admin.site.register(Genre)
admin.site.register(Platform)
admin.site.register(Mode)
admin.site.register(Playe... | 32.6875 | 209 | 0.711281 | 554 | 0.529637 | 0 | 0 | 0 | 0 | 0 | 0 | 286 | 0.273423 |
901eab214940948112dfada28e162b16759ac77e | 589 | py | Python | plot-wbgt.py | tanupoo/tools-pubsec | 3dfea4b677226395eff89f90aebec3105ba4f4d5 | [
"MIT"
] | 1 | 2021-05-27T21:10:04.000Z | 2021-05-27T21:10:04.000Z | plot-wbgt.py | tanupoo/pubsec-tools | 3dfea4b677226395eff89f90aebec3105ba4f4d5 | [
"MIT"
] | null | null | null | plot-wbgt.py | tanupoo/pubsec-tools | 3dfea4b677226395eff89f90aebec3105ba4f4d5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import sys
import json
import matplotlib.pyplot as plt
result = json.load(sys.stdin)
x = result["hour"]
y = result["wbgt"]
fig = plt.figure(figsize=(8, 4))
ax1 = fig.add_subplot(1,1,1)
ax1.set_xlabel("hour")
ax1.set_ylabel("wbgt")
ax1.set_xticks(list(range(0,24,1)))
ax1.set_yticks(list(range(1... | 21.035714 | 48 | 0.696095 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 0.127334 |
90204f12090cacf498331393d685af08f22c49b2 | 1,005 | py | Python | day_07/day_07.py | GuillaumeGandon/advent-of-code-2015 | ff4201a9a27d1ca7f687a613eeec72dd12fe1487 | [
"MIT"
] | null | null | null | day_07/day_07.py | GuillaumeGandon/advent-of-code-2015 | ff4201a9a27d1ca7f687a613eeec72dd12fe1487 | [
"MIT"
] | null | null | null | day_07/day_07.py | GuillaumeGandon/advent-of-code-2015 | ff4201a9a27d1ca7f687a613eeec72dd12fe1487 | [
"MIT"
] | null | null | null | from functools import cache
def split_row(row):
instructions, output = row.split(' -> ')
return output, tuple(instructions.split(' '))
@cache
def solve(key):
if key.isdigit():
return int(key)
else:
instructions = circuit[key]
if len(instructions) == 1:
return solv... | 25.769231 | 65 | 0.536318 | 0 | 0 | 0 | 0 | 661 | 0.657711 | 0 | 0 | 107 | 0.106468 |
90215693db46543c286a97842122238df6972cc0 | 523 | py | Python | noteout/tests/test_nb_only.py | stefanv/noteout | b76b35c675fa1221be35835d56c2937e3f56b317 | [
"BSD-2-Clause"
] | 3 | 2021-08-14T19:35:37.000Z | 2021-08-23T16:53:51.000Z | noteout/tests/test_nb_only.py | stefanv/noteout | b76b35c675fa1221be35835d56c2937e3f56b317 | [
"BSD-2-Clause"
] | 1 | 2021-11-23T18:40:45.000Z | 2021-11-23T20:40:48.000Z | noteout/tests/test_nb_only.py | stefanv/noteout | b76b35c675fa1221be35835d56c2937e3f56b317 | [
"BSD-2-Clause"
] | 1 | 2021-11-23T18:33:58.000Z | 2021-11-23T18:33:58.000Z | """ Test nb-only filter
"""
from io import StringIO
from noteout.nb_only import NbonlyFilter as nnbo
from .tutils import (read_md, assert_json_equal, filter_doc)
def test_nb_only():
content = """/
Some text [notebook only]{.nb-only}more text.
::: nb-only
Only in notebook.
:::
More text.
"""
doc = read_md... | 17.433333 | 60 | 0.692161 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 169 | 0.323136 |
9021b355ad9a734bb50dcef4f74291f2233e5506 | 1,386 | py | Python | spectrocrunch/utils/comparable.py | woutdenolf/spectrocrunch | fde4b6e0f462f464ce7af6a942b355d3d8f39f77 | [
"MIT"
] | 3 | 2018-04-16T15:51:36.000Z | 2019-12-16T11:21:05.000Z | spectrocrunch/utils/comparable.py | woutdenolf/spectrocrunch | fde4b6e0f462f464ce7af6a942b355d3d8f39f77 | [
"MIT"
] | null | null | null | spectrocrunch/utils/comparable.py | woutdenolf/spectrocrunch | fde4b6e0f462f464ce7af6a942b355d3d8f39f77 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import operator
class Comparable(object):
@property
def _repr(self):
"""Unique representation of an instance"""
return "{}{}".format(type(self).__name__, id(self))
def _cmpkey(self, other):
return self._repr
def _sortkey(self, other):
return s... | 23.491525 | 59 | 0.591631 | 1,342 | 0.968254 | 0 | 0 | 141 | 0.101732 | 0 | 0 | 90 | 0.064935 |
9021bc3863fa351375d2c840439601cf105a7273 | 3,241 | py | Python | backend/fastspider.py | wakeblade/weiboSpiderAndCook | b5ca0708abd0a938eb0ac611d037a5d3daf9384f | [
"MIT"
] | 1 | 2020-02-08T16:22:19.000Z | 2020-02-08T16:22:19.000Z | backend/fastspider.py | wakeblade/weiboWordCount | b5ca0708abd0a938eb0ac611d037a5d3daf9384f | [
"MIT"
] | null | null | null | backend/fastspider.py | wakeblade/weiboWordCount | b5ca0708abd0a938eb0ac611d037a5d3daf9384f | [
"MIT"
] | null | null | null | # !/usr/bin/env python
# -*- coding: UTF-8 -*-
"""
from gevent import monkey
monkey.patch_all()
from gevent.queue import Queue
"""
import requests
import time
import random
proxies=[]
with open('./ips.txt') as f:
proxies = [line.split('@')[0] for line in f]
def randomProxy(proxies):
ip = random.choice(proxies... | 28.429825 | 142 | 0.573588 | 2,194 | 0.667884 | 0 | 0 | 0 | 0 | 0 | 0 | 1,222 | 0.371994 |
9021ca74c4cfd208803fde68aec8f4729d95dd36 | 1,156 | py | Python | setup.py | loic-simon/asyncode | 5f9873acf93f1a3ae6d4ca0b3dfc55acc7598969 | [
"MIT"
] | 1 | 2021-12-22T16:09:52.000Z | 2021-12-22T16:09:52.000Z | setup.py | loic-simon/asyncode | 5f9873acf93f1a3ae6d4ca0b3dfc55acc7598969 | [
"MIT"
] | null | null | null | setup.py | loic-simon/asyncode | 5f9873acf93f1a3ae6d4ca0b3dfc55acc7598969 | [
"MIT"
] | null | null | null | import setuptools
version = "1.0.0"
with open("README.md", "r", encoding="utf-8") as fh:
readme = fh.read()
setuptools.setup(
name="asyncode",
version=version,
author="Loïc Simon",
author_email="loic.simon@espci.org",
description="Emulating Python's interactive interpreter in asynchronous con... | 31.243243 | 86 | 0.634948 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 689 | 0.595506 |
9021dafddba10ec136860876afbe1b58c1dcc7f4 | 1,926 | py | Python | test_image.py | GSM-Festival-2021/Prettier-photo-plus-Server | 98c30d5c8379491d12a4cfd4ed880fd800c40a7c | [
"MIT"
] | null | null | null | test_image.py | GSM-Festival-2021/Prettier-photo-plus-Server | 98c30d5c8379491d12a4cfd4ed880fd800c40a7c | [
"MIT"
] | null | null | null | test_image.py | GSM-Festival-2021/Prettier-photo-plus-Server | 98c30d5c8379491d12a4cfd4ed880fd800c40a7c | [
"MIT"
] | null | null | null | function solution(x1, y1, x2, y2) {
const x1 = 8;
const y1 = 4;
const x2 = 8;
const y2 = 10;
let soundSum = 0;
// 두 스피커 사이가 가까워 음량이 5를 넘는 경우
if (Math.abs(x1 - x2) + Math.abs(y1 - y2) < 4) return -1;
if (3 < x1 && x1 < 13 && 3 < x2 && x2 < 13 && 3 < y1 && y1 < 13 && 3 < y2 && y2 < 13) {
... | 21.164835 | 91 | 0.450156 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9022b8901ebe6c1ee9599a4efe5b224353a4bd15 | 8,328 | py | Python | crops/command_line/crops-cropstr.py | jjavier-bm/crops | 658a98f9c168cc27b3f967e7a60a0df896ef5ac6 | [
"BSD-3-Clause"
] | null | null | null | crops/command_line/crops-cropstr.py | jjavier-bm/crops | 658a98f9c168cc27b3f967e7a60a0df896ef5ac6 | [
"BSD-3-Clause"
] | 5 | 2020-07-17T08:45:22.000Z | 2022-03-11T13:39:26.000Z | crops/command_line/crops-cropstr.py | jjavier-bm/crops | 658a98f9c168cc27b3f967e7a60a0df896ef5ac6 | [
"BSD-3-Clause"
] | 1 | 2020-07-07T15:42:07.000Z | 2020-07-07T15:42:07.000Z | """==========
This script will remove a number of residues from a sequence file
in agreement to the intervals and other details supplied.
"""
from crops.about import __prog__, __description__, __author__, __date__, __version__
import argparse
import os
from crops.io import check_path
from crops.io import outpathgen... | 47.862069 | 289 | 0.635687 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,908 | 0.229107 |
90251fea4bf1c0681bcedcffe3e8a599e9d53e72 | 13,189 | py | Python | DSDM_Assignment2_final.py | antonyjames1996/time-series-analysis-agrotech | 1e2abfe07f0e82c7a6f5cc01a268826fb2d29635 | [
"MIT"
] | null | null | null | DSDM_Assignment2_final.py | antonyjames1996/time-series-analysis-agrotech | 1e2abfe07f0e82c7a6f5cc01a268826fb2d29635 | [
"MIT"
] | null | null | null | DSDM_Assignment2_final.py | antonyjames1996/time-series-analysis-agrotech | 1e2abfe07f0e82c7a6f5cc01a268826fb2d29635 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# In[95]:
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
# get_ipython().run_line_magic('matplotlib', 'inline')
from sklearn.neighbors import LocalOutlierFactor
from sklearn.model_selection import train_test_split
from sklearn.line... | 26.116832 | 119 | 0.679506 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6,832 | 0.518007 |
902524521dfdcde30b78e79a7e608392d647a998 | 6,127 | py | Python | modules/msa/msa/contrib/uniqauth/views.py | haoyutan/MSA-Framework | 7c5553b244347f26029729161e15e60b0cc805f5 | [
"MIT"
] | 2 | 2016-11-22T11:44:52.000Z | 2017-08-29T02:38:01.000Z | modules/msa/msa/contrib/uniqauth/views.py | haoyutan/MSA-Framework | 7c5553b244347f26029729161e15e60b0cc805f5 | [
"MIT"
] | null | null | null | modules/msa/msa/contrib/uniqauth/views.py | haoyutan/MSA-Framework | 7c5553b244347f26029729161e15e60b0cc805f5 | [
"MIT"
] | null | null | null | from django.contrib.auth import authenticate
from msa.utils.ipware import get_ip
from msa.views import LoggedAPIView
from rest_framework import status
from rest_framework.authentication import TokenAuthentication, BasicAuthentication
from rest_framework.authtoken.models import Token
from rest_framework.permissions impo... | 37.588957 | 110 | 0.647299 | 5,668 | 0.925086 | 0 | 0 | 0 | 0 | 0 | 0 | 337 | 0.055002 |
9025967f892fe7e0100f3ff33e467fab11a11531 | 4,830 | py | Python | dcm2niix.py | rhancockn/dcm2bids | 16597eeb20edfa0ec707c9bd0bf8468d94e0c925 | [
"MIT"
] | null | null | null | dcm2niix.py | rhancockn/dcm2bids | 16597eeb20edfa0ec707c9bd0bf8468d94e0c925 | [
"MIT"
] | null | null | null | dcm2niix.py | rhancockn/dcm2bids | 16597eeb20edfa0ec707c9bd0bf8468d94e0c925 | [
"MIT"
] | null | null | null | #!/use/bin/python
import tempfile
import os
import dicom
import pandas
import json
import numpy as np
from os.path import join
import glob
import errno
import shutil
class dcm2niix(object):
"""A wrapper for the dcm2niix command
"""
def __init__(self, row, bids_dir, intent = None):
self.intent = intent
#Dico... | 32.2 | 285 | 0.695238 | 4,654 | 0.963561 | 0 | 0 | 0 | 0 | 0 | 0 | 1,238 | 0.256315 |
902da8cbd33808618399125bb013b3cfef957b80 | 4,479 | py | Python | src/sss/genkey.py | foundriesio/plug-and-trust-ssscli | f77c65d5b3de649d7db1c023ee41d871f77cd224 | [
"Apache-2.0"
] | null | null | null | src/sss/genkey.py | foundriesio/plug-and-trust-ssscli | f77c65d5b3de649d7db1c023ee41d871f77cd224 | [
"Apache-2.0"
] | null | null | null | src/sss/genkey.py | foundriesio/plug-and-trust-ssscli | f77c65d5b3de649d7db1c023ee41d871f77cd224 | [
"Apache-2.0"
] | null | null | null | #
# Copyright 2018-2020 NXP
# SPDX-License-Identifier: Apache-2.0
#
#
"""License text"""
import logging
from . import sss_api as apis
from .keystore import KeyStore
from .keyobject import KeyObject
from .getkey import Get
from .util import get_ecc_cypher_type
log = logging.getLogger(__name__)
class Generate:
"... | 33.177778 | 124 | 0.621121 | 4,179 | 0.933021 | 0 | 0 | 0 | 0 | 0 | 0 | 1,780 | 0.39741 |
902e9315b6728c26e93d095508b7d9dca413b5b0 | 979 | py | Python | Python/uds/uds_client.py | kaehsu/template-bash | f8a8a4babb8537622a4e4246701761a9832d6aeb | [
"MIT"
] | null | null | null | Python/uds/uds_client.py | kaehsu/template-bash | f8a8a4babb8537622a4e4246701761a9832d6aeb | [
"MIT"
] | null | null | null | Python/uds/uds_client.py | kaehsu/template-bash | f8a8a4babb8537622a4e4246701761a9832d6aeb | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
#
# To communicate with UDS server by nc: "echo -e "string\c" | sudo nc -q 1 -U /var/run/uds_led"
import socket
serverAddress = '/tmp/portex_tmp'
def main():
try:
while True:
message = input(
'Enter the message send to server ("Quit" to quit): ')
... | 28.794118 | 95 | 0.507661 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 324 | 0.33095 |
902fb2aef8b4515b1af62bd380980dd14457df65 | 502 | py | Python | apps/workspaces/migrations/0007_workspacegeneralsettings_auto_map_employees.py | fylein/fyle-xero-api | ba81af058dc413fc801d4cf7d1a8961bd42df469 | [
"MIT"
] | null | null | null | apps/workspaces/migrations/0007_workspacegeneralsettings_auto_map_employees.py | fylein/fyle-xero-api | ba81af058dc413fc801d4cf7d1a8961bd42df469 | [
"MIT"
] | 6 | 2020-12-24T10:24:02.000Z | 2021-11-30T05:04:53.000Z | apps/workspaces/migrations/0007_workspacegeneralsettings_auto_map_employees.py | fylein/fyle-xero-api | ba81af058dc413fc801d4cf7d1a8961bd42df469 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.3 on 2021-02-19 18:04
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('workspaces', '0006_workspacegeneralsettings_import_categories'),
]
operations = [
migrations.AddField(
model_name='workspacegene... | 26.421053 | 111 | 0.663347 | 409 | 0.814741 | 0 | 0 | 0 | 0 | 0 | 0 | 192 | 0.38247 |
903025199c8cb18d7b43068916c16d96cb4139f2 | 2,967 | py | Python | 0x06-python-classes/100-singly_linked_list.py | Trice254/alx-higher_level_programming | b49b7adaf2c3faa290b3652ad703914f8013c67c | [
"MIT"
] | null | null | null | 0x06-python-classes/100-singly_linked_list.py | Trice254/alx-higher_level_programming | b49b7adaf2c3faa290b3652ad703914f8013c67c | [
"MIT"
] | null | null | null | 0x06-python-classes/100-singly_linked_list.py | Trice254/alx-higher_level_programming | b49b7adaf2c3faa290b3652ad703914f8013c67c | [
"MIT"
] | null | null | null | #!/usr/bin/python3
"""
Module 100-singly_linked_list
Defines class Node (with private data and next_node)
Defines class SinglyLinkedList (with private head and public sorted_insert)
"""
class Node:
"""
class Node definition
Args:
data (int): private
next_node : private; can be None or Node... | 23.179688 | 78 | 0.532524 | 2,770 | 0.933603 | 0 | 0 | 860 | 0.289855 | 0 | 0 | 1,462 | 0.492754 |
90303a8de55d76b20b74b604783236c6d15111a5 | 310 | py | Python | BI-IOS/semester-project/webapp/beecon/campaigns/urls.py | josefdolezal/fit-cvut | 6b6abea4232b946246d33290718d6c5007926b63 | [
"MIT"
] | 20 | 2016-05-15T10:39:53.000Z | 2022-03-29T00:06:06.000Z | BI-IOS/semester-project/webapp/beecon/campaigns/urls.py | josefdolezal/fit-cvut | 6b6abea4232b946246d33290718d6c5007926b63 | [
"MIT"
] | 3 | 2017-05-27T16:44:01.000Z | 2019-01-02T21:02:59.000Z | BI-IOS/semester-project/webapp/beecon/campaigns/urls.py | josefdolezal/fit-cvut | 6b6abea4232b946246d33290718d6c5007926b63 | [
"MIT"
] | 11 | 2018-08-22T21:16:32.000Z | 2021-04-10T22:42:34.000Z | from django.conf.urls import url
from . import views
app_name = 'campaigns'
urlpatterns = [
url( r'^$', views.JsonView.response, name='index' ),
url( r'^(?P<app_code>[a-zA-Z0-9]+)/info/$', views.info, name='info' ),
url( r'^(?P<app_code>[a-zA-Z0-9]+)/services/$', views.services, name='services' ),
]
| 25.833333 | 84 | 0.632258 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 117 | 0.377419 |
9032381dcc04f711d03772a06dc91a54a4d1b366 | 5,802 | py | Python | models/joint_representation.py | ybCliff/VideoCaptioning | 93fc3b095c970e51e1e24909163a827df98d6ef3 | [
"MIT"
] | 3 | 2020-05-16T23:59:57.000Z | 2021-06-14T01:59:41.000Z | models/joint_representation.py | ybCliff/VideoCaptioning | 93fc3b095c970e51e1e24909163a827df98d6ef3 | [
"MIT"
] | null | null | null | models/joint_representation.py | ybCliff/VideoCaptioning | 93fc3b095c970e51e1e24909163a827df98d6ef3 | [
"MIT"
] | 3 | 2020-05-17T00:01:01.000Z | 2020-07-28T18:04:05.000Z | import torch
import torch.nn as nn
class Gated_Sum(nn.Module):
def __init__(self, opt):
super(Gated_Sum, self).__init__()
hidden_size = opt['dim_hidden']
nf = opt.get('num_factor', 512)
self.hidden_size = hidden_size
self.num_feats = len(opt['modality']) - sum(opt['skip_in... | 39.739726 | 146 | 0.601344 | 5,763 | 0.993278 | 0 | 0 | 0 | 0 | 0 | 0 | 1,032 | 0.17787 |
9034fc76134be07855830d17f0d402a691811b26 | 2,489 | py | Python | scream/monorepo.py | r-kells/scream | 3f5d325cd05a0f3eccc4b579b4929be49029ab09 | [
"MIT"
] | 26 | 2018-11-29T13:33:25.000Z | 2021-11-22T18:45:19.000Z | scream/monorepo.py | r-kells/scream | 3f5d325cd05a0f3eccc4b579b4929be49029ab09 | [
"MIT"
] | 14 | 2019-01-20T00:07:13.000Z | 2020-07-15T13:19:29.000Z | scream/monorepo.py | r-kells/scream | 3f5d325cd05a0f3eccc4b579b4929be49029ab09 | [
"MIT"
] | 2 | 2019-02-25T17:31:47.000Z | 2020-01-22T22:10:41.000Z | import collections
from scream.files import Docs, Scream, Tox
class Monorepo(object):
def __init__(self, root_dir):
self.root_dir = root_dir
self.config = Scream(self.root_dir)
def sync(self):
"""Used internally ensure monorepo maintains certain standards.
"""
self.co... | 34.09589 | 107 | 0.627561 | 2,107 | 0.846525 | 0 | 0 | 361 | 0.145038 | 0 | 0 | 232 | 0.09321 |
9036fe41e979c0dcc374002d6e7021871b3e9ae0 | 9,837 | py | Python | src/oddball/oddball.py | stillarrow/NetworkAnomalyDetection | f41fd6b6d7cb302dc2eaa4c0f8d7b04b7ed4fd3c | [
"MIT"
] | 1 | 2021-05-12T09:37:47.000Z | 2021-05-12T09:37:47.000Z | src/oddball/oddball.py | stillarrow/NetworkAnomalyDetection | f41fd6b6d7cb302dc2eaa4c0f8d7b04b7ed4fd3c | [
"MIT"
] | null | null | null | src/oddball/oddball.py | stillarrow/NetworkAnomalyDetection | f41fd6b6d7cb302dc2eaa4c0f8d7b04b7ed4fd3c | [
"MIT"
] | null | null | null | '''
Python3 implementation of oddball
@author:
Tao Yu (gloooryyt@gmail.com)
'''
import numpy as np
from sklearn.linear_model import LinearRegression
from sklearn.neighbors import LocalOutlierFactor
# feature dictionary which format is {node i's id:Ni, Ei, Wi, λw,i}
def star_or_clique(featureDict):
N = []
... | 31.630225 | 125 | 0.620718 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,655 | 0.167952 |
9037bc76d22fa05dd0f3bfed5e08c4fd3d0cc516 | 538 | py | Python | tbase/common/logger.py | iminders/TradeBaselines | 26eb87f2bcd5f6ff479149219b38b17002be6a40 | [
"MIT"
] | 16 | 2020-03-19T15:12:28.000Z | 2021-12-20T06:02:32.000Z | tbase/common/logger.py | iminders/TradeBaselines | 26eb87f2bcd5f6ff479149219b38b17002be6a40 | [
"MIT"
] | 14 | 2020-03-23T03:57:00.000Z | 2021-12-20T05:53:33.000Z | tbase/common/logger.py | iminders/TradeBaselines | 26eb87f2bcd5f6ff479149219b38b17002be6a40 | [
"MIT"
] | 7 | 2020-03-25T00:30:18.000Z | 2021-01-31T18:45:09.000Z | import logging
import os
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s %(filename)s[%(lineno)d] %(levelname)s %(message)s')
logger = logging.getLogger()
dir_name = os.path.join("/tmp", "tbase")
if not os.path.exists(dir_name):
os.makedirs(dir_name)
handler = logging.FileHandler(os.path.jo... | 26.9 | 76 | 0.723048 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 152 | 0.282528 |
9037ec295216061bb4362e12f89dff7a2894c6f3 | 3,125 | py | Python | profesionales/migrations/0005_auto_20190928_2338.py | cluster311/ggg | 262173c66fe40ada30083d439a79f16f841f5772 | [
"BSD-3-Clause"
] | 6 | 2020-03-16T02:51:16.000Z | 2020-11-10T00:58:01.000Z | profesionales/migrations/0005_auto_20190928_2338.py | cluster311/ggg | 262173c66fe40ada30083d439a79f16f841f5772 | [
"BSD-3-Clause"
] | 204 | 2019-09-19T02:00:57.000Z | 2022-02-10T10:48:52.000Z | profesionales/migrations/0005_auto_20190928_2338.py | cluster311/ggg | 262173c66fe40ada30083d439a79f16f841f5772 | [
"BSD-3-Clause"
] | 3 | 2019-09-16T22:59:24.000Z | 2022-03-21T22:52:44.000Z | # Generated by Django 2.2.4 on 2019-09-28 23:38
import address.models
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('address', '0002_auto_20160213_1726'),
('profesionales', '0004_auto_20190927_0004'),
]
... | 38.580247 | 377 | 0.57824 | 2,978 | 0.952655 | 0 | 0 | 0 | 0 | 0 | 0 | 1,007 | 0.322137 |
903b18672626ab4ad3a5e3aded8aea7688abd5d5 | 757 | py | Python | standards/tests/models.py | GROCCAD/groccad | 1d461043030bebe277d74b1c9df9877436baa270 | [
"MIT"
] | 1 | 2022-03-05T03:11:51.000Z | 2022-03-05T03:11:51.000Z | standards/tests/models.py | rocdata/rocserver | 1d461043030bebe277d74b1c9df9877436baa270 | [
"MIT"
] | null | null | null | standards/tests/models.py | rocdata/rocserver | 1d461043030bebe277d74b1c9df9877436baa270 | [
"MIT"
] | null | null | null | from functools import partial
from django.db import models
from standards.fields import CharIdField
# MODEL FIXTURES
################################################################################
class CharIdModel(models.Model):
field = CharIdField()
class CharIdModelWithPrefix(models.Model):
field = C... | 23.65625 | 80 | 0.698811 | 540 | 0.713342 | 0 | 0 | 0 | 0 | 0 | 0 | 123 | 0.162483 |
903bd4a9af5949595a7b7528cd44f5048565dedd | 10,070 | py | Python | torchsrc/models/fcn32s_BN.py | yuankaihuo/MedPhysics | 94d8c5357b76658b9b161b541a1f195c6550ce55 | [
"Apache-2.0"
] | null | null | null | torchsrc/models/fcn32s_BN.py | yuankaihuo/MedPhysics | 94d8c5357b76658b9b161b541a1f195c6550ce55 | [
"Apache-2.0"
] | null | null | null | torchsrc/models/fcn32s_BN.py | yuankaihuo/MedPhysics | 94d8c5357b76658b9b161b541a1f195c6550ce55 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
# https://github.com/shelhamer/fcn.berkeleyvision.org/blob/master/surgery.py
def get_upsample_filter(size):
"""Make a 2D bilinear kernel suitable for upsampling"""
factor = (size + 1) // 2
if size % 2 == 1:
... | 36.751825 | 101 | 0.523932 | 9,497 | 0.943098 | 0 | 0 | 0 | 0 | 0 | 0 | 987 | 0.098014 |
903c7397f31fe34f15318c7f6541642d7c880c26 | 1,067 | py | Python | src/schema/models.py | prashant0079/metabolic_assignment | 9660ef06e6015833e3c64de9c3fe34927c85ba49 | [
"MIT"
] | null | null | null | src/schema/models.py | prashant0079/metabolic_assignment | 9660ef06e6015833e3c64de9c3fe34927c85ba49 | [
"MIT"
] | 1 | 2021-09-05T15:39:56.000Z | 2021-09-05T20:26:39.000Z | src/schema/models.py | prashant0079/metabolic_assignment | 9660ef06e6015833e3c64de9c3fe34927c85ba49 | [
"MIT"
] | null | null | null | from pydantic import BaseModel
from typing import List
# The models used in this module are being used by the API
# for type validation using Pydantic as FastAPI is reliant
# on pydantic for Data validation
class GeographySchema(BaseModel):
id: int
short_name: str
name: str
class EntrySchema(BaseModel)... | 17.209677 | 58 | 0.68135 | 841 | 0.788191 | 0 | 0 | 0 | 0 | 0 | 0 | 149 | 0.139644 |
903c8cc3beaefd54c725e04177cee3cf91f69504 | 348 | py | Python | myproject/myapp/admin.py | wasit7/cs459_2018 | 78243bbc939fcc2ed7528df8c14ad75e4b78d9a2 | [
"BSD-2-Clause"
] | null | null | null | myproject/myapp/admin.py | wasit7/cs459_2018 | 78243bbc939fcc2ed7528df8c14ad75e4b78d9a2 | [
"BSD-2-Clause"
] | null | null | null | myproject/myapp/admin.py | wasit7/cs459_2018 | 78243bbc939fcc2ed7528df8c14ad75e4b78d9a2 | [
"BSD-2-Clause"
] | null | null | null | from django.contrib import admin
from .models import Product
class ProductAdmin(admin.ModelAdmin):
fields = ('name', 'price', 'category', 'image')
list_display = ('name', 'price', 'category', 'image')
list_filter = ('category', 'price', )
list_editable = ('price', 'category', 'image', )
admin.site.reg... | 34.8 | 57 | 0.678161 | 242 | 0.695402 | 0 | 0 | 0 | 0 | 0 | 0 | 101 | 0.29023 |
903de14b44d3f2b0857467165c0169f5dac5d5b8 | 404 | py | Python | app.py | 923310233/APk-Down-Load | e7c3e4fdfbf9f7d8398d91ce0c5c028dfc685f3a | [
"MIT"
] | 2 | 2021-07-28T07:06:55.000Z | 2021-07-28T07:08:19.000Z | app.py | 923310233/APk-Down-Load | e7c3e4fdfbf9f7d8398d91ce0c5c028dfc685f3a | [
"MIT"
] | null | null | null | app.py | 923310233/APk-Down-Load | e7c3e4fdfbf9f7d8398d91ce0c5c028dfc685f3a | [
"MIT"
] | null | null | null | import subprocess
f = open("app_list.csv","r")
lines = f.readlines()
for line in lines:
print(line.strip())
command = "node app.js " + line.strip();
display = subprocess.run(command, stdout=subprocess.PIPE, shell=True)
# display = subprocess.run(["sudo","-u",username,"tshark", "-r", pcapname, "-Y", disp... | 31.076923 | 126 | 0.680693 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 199 | 0.492574 |
903e7c7c7eb9a7d02da0c1871291e12b6246e93e | 20,260 | py | Python | shoptimizer_api/optimizers_builtin/title_word_order_optimizer_test.py | astivi/shoptimizer | e9e415650b2b8fc07e4ae68c741e692b538e4a2c | [
"Apache-2.0"
] | null | null | null | shoptimizer_api/optimizers_builtin/title_word_order_optimizer_test.py | astivi/shoptimizer | e9e415650b2b8fc07e4ae68c741e692b538e4a2c | [
"Apache-2.0"
] | null | null | null | shoptimizer_api/optimizers_builtin/title_word_order_optimizer_test.py | astivi/shoptimizer | e9e415650b2b8fc07e4ae68c741e692b538e4a2c | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2021 Google LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | 40.846774 | 123 | 0.696249 | 19,988 | 0.911861 | 0 | 0 | 20,562 | 0.938047 | 0 | 0 | 7,923 | 0.361451 |
903ed7280655c7a88f5f5eb4e9a427e26a17d12e | 4,035 | py | Python | contracts/models.py | sivanagarajumolabanti/IPFS | 9ae01ce09c97660ca312aad7d612bbc8eb8146e7 | [
"MIT"
] | 1 | 2019-08-27T04:20:06.000Z | 2019-08-27T04:20:06.000Z | contracts/models.py | sivanagarajumolabanti/IPFS | 9ae01ce09c97660ca312aad7d612bbc8eb8146e7 | [
"MIT"
] | null | null | null | contracts/models.py | sivanagarajumolabanti/IPFS | 9ae01ce09c97660ca312aad7d612bbc8eb8146e7 | [
"MIT"
] | null | null | null | from django.contrib.auth.models import User
from django.db import models
from django.utils.timezone import now
class Vendor(models.Model):
user = models.ManyToManyField(User)
name = models.CharField(max_length=30, null=True)
created_at = models.DateTimeField(auto_now_add=True)
updated_at = models.Date... | 36.351351 | 102 | 0.691698 | 3,900 | 0.966543 | 0 | 0 | 0 | 0 | 0 | 0 | 189 | 0.04684 |
903f6e6ec0a321ed686c231ab9ebc657c40c7407 | 1,500 | py | Python | models/DenseNet.py | Apollo1840/DeepECG | 5132b5fc8f6b40c4b2f175cd5e56c4aec128ab3e | [
"MIT"
] | 2 | 2020-11-16T10:50:56.000Z | 2020-11-23T12:31:30.000Z | models/DenseNet.py | Apollo1840/DeepECG | 5132b5fc8f6b40c4b2f175cd5e56c4aec128ab3e | [
"MIT"
] | null | null | null | models/DenseNet.py | Apollo1840/DeepECG | 5132b5fc8f6b40c4b2f175cd5e56c4aec128ab3e | [
"MIT"
] | 1 | 2020-08-05T00:23:54.000Z | 2020-08-05T00:23:54.000Z | from keras.models import Sequential
from keras.layers import Dense, Dropout
def denseNet(input_dim, output_dim=4):
model = Sequential()
model.add(Dense(1024, input_shape=(input_dim,), kernel_initializer='normal', activation='relu'))
model.add(Dense(1024, kernel_initializer='normal', activation='relu'))
... | 41.666667 | 100 | 0.719333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 241 | 0.160667 |
9040b2be08c9dcba639583373b5f0c4c01de3091 | 13,242 | py | Python | openstackclient/tests/unit/volume/v3/fakes.py | mydevice/python-openstackclient | 4891bb38208fdcd1a2ae60e47b056841e14fbdf7 | [
"Apache-2.0"
] | 262 | 2015-01-29T20:10:49.000Z | 2022-03-23T01:59:23.000Z | openstackclient/tests/unit/volume/v3/fakes.py | mydevice/python-openstackclient | 4891bb38208fdcd1a2ae60e47b056841e14fbdf7 | [
"Apache-2.0"
] | 5 | 2015-01-21T02:37:35.000Z | 2021-11-23T02:26:00.000Z | openstackclient/tests/unit/volume/v3/fakes.py | mydevice/python-openstackclient | 4891bb38208fdcd1a2ae60e47b056841e14fbdf7 | [
"Apache-2.0"
] | 194 | 2015-01-08T07:39:27.000Z | 2022-03-30T13:51:23.000Z | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under th... | 33.953846 | 79 | 0.614258 | 12,117 | 0.915043 | 0 | 0 | 10,167 | 0.767784 | 0 | 0 | 5,710 | 0.431204 |
9040cb412be761146b6669d9fd4eade5a3ac0512 | 12,287 | py | Python | gammapy/cube/tests/test_core.py | grburgess/gammapy | 609e460698caca7223afeef5e71826c7b32728d1 | [
"BSD-3-Clause"
] | 3 | 2019-01-28T12:21:14.000Z | 2019-02-10T19:58:07.000Z | gammapy/cube/tests/test_core.py | grburgess/gammapy | 609e460698caca7223afeef5e71826c7b32728d1 | [
"BSD-3-Clause"
] | null | null | null | gammapy/cube/tests/test_core.py | grburgess/gammapy | 609e460698caca7223afeef5e71826c7b32728d1 | [
"BSD-3-Clause"
] | null | null | null | # Licensed under a 3-clause BSD style license - see LICENSE.rst
from __future__ import absolute_import, division, print_function, unicode_literals
import numpy as np
from numpy.testing import assert_allclose
from astropy.coordinates import Angle
from astropy.tests.helper import pytest, assert_quantity_allclose
from ast... | 39.763754 | 90 | 0.657524 | 5,918 | 0.481647 | 0 | 0 | 10,180 | 0.828518 | 0 | 0 | 3,179 | 0.258729 |
90429ee16f26834b4fd4e1ca6831ceabda97033d | 298 | py | Python | api/applications/migrations/0042_merge_20201213_0228.py | django-doctor/lite-api | 1ba278ba22ebcbb977dd7c31dd3701151cd036bf | [
"MIT"
] | 3 | 2019-05-15T09:30:39.000Z | 2020-04-22T16:14:23.000Z | api/applications/migrations/0042_merge_20201213_0228.py | django-doctor/lite-api | 1ba278ba22ebcbb977dd7c31dd3701151cd036bf | [
"MIT"
] | 85 | 2019-04-24T10:39:35.000Z | 2022-03-21T14:52:12.000Z | api/applications/migrations/0042_merge_20201213_0228.py | django-doctor/lite-api | 1ba278ba22ebcbb977dd7c31dd3701151cd036bf | [
"MIT"
] | 1 | 2021-01-17T11:12:19.000Z | 2021-01-17T11:12:19.000Z | # Generated by Django 2.2.16 on 2020-12-13 02:28
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
("applications", "0041_goodonapplication_is_precedent"),
("applications", "0041_goodonapplicationdocument"),
]
operations = []
| 21.285714 | 64 | 0.694631 | 212 | 0.711409 | 0 | 0 | 0 | 0 | 0 | 0 | 145 | 0.486577 |
90459d8bfe26d007178d66a09649931906768496 | 5,829 | py | Python | web_app/ca_modules/make_utils.py | Lockers13/codagio | cfe9325cb3c207f7728db3c287439ce761ffea14 | [
"MIT"
] | 2 | 2021-01-16T13:42:14.000Z | 2021-03-03T19:36:47.000Z | web_app/ca_modules/make_utils.py | Lockers13/codagio | cfe9325cb3c207f7728db3c287439ce761ffea14 | [
"MIT"
] | null | null | null | web_app/ca_modules/make_utils.py | Lockers13/codagio | cfe9325cb3c207f7728db3c287439ce761ffea14 | [
"MIT"
] | null | null | null | ### A module containing various utilities used at various points throughout the processes of submitting and analyzing problems ###
import os
import json
import subprocess
import hashlib
import sys
import random
import string
from .output_processor import process_output
from . import code_templates
def make_file(path,... | 40.2 | 198 | 0.632699 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,573 | 0.269858 |
904821f621f97dceeec43eb063d81e21fa90c37c | 21,136 | py | Python | wazimap/data/utils.py | AssembleOnline/wazimap | 1b8b68fb231b768047eee1b20ed180e4820a2890 | [
"MIT"
] | 1 | 2019-01-14T15:37:03.000Z | 2019-01-14T15:37:03.000Z | wazimap/data/utils.py | Bhanditz/wazimap | fde22a0874020cf0ae013aeec7ab55b7c5a70b27 | [
"MIT"
] | null | null | null | wazimap/data/utils.py | Bhanditz/wazimap | fde22a0874020cf0ae013aeec7ab55b7c5a70b27 | [
"MIT"
] | null | null | null | from __future__ import division
from collections import OrderedDict
from sqlalchemy import create_engine, MetaData, func
from sqlalchemy.orm import sessionmaker, class_mapper
from django.conf import settings
from django.db.backends.base.creation import TEST_DATABASE_PREFIX
from django.db import connection
if settin... | 36.758261 | 138 | 0.607116 | 1,027 | 0.04859 | 0 | 0 | 0 | 0 | 0 | 0 | 7,870 | 0.37235 |
9048acfcee11de068839ac11bcc199658e3bb1fe | 9,913 | py | Python | ovis/analysis/gradients.py | vlievin/ovis | 71f05a5f5219b2df66a9cdbd5a5339e0e179597b | [
"MIT"
] | 10 | 2020-08-06T22:25:11.000Z | 2022-03-07T13:10:15.000Z | ovis/analysis/gradients.py | vlievin/ovis | 71f05a5f5219b2df66a9cdbd5a5339e0e179597b | [
"MIT"
] | 2 | 2021-06-08T22:15:24.000Z | 2022-03-12T00:45:59.000Z | ovis/analysis/gradients.py | vlievin/ovis | 71f05a5f5219b2df66a9cdbd5a5339e0e179597b | [
"MIT"
] | null | null | null | from time import time
from typing import *
import torch
from booster import Diagnostic
from torch import Tensor
from tqdm import tqdm
from .utils import cosine, percentile, RunningMean, RunningVariance
from ..estimators import GradientEstimator
from ..models import TemplateModel
def get_grads_from_tensor(model: Tem... | 42.545064 | 125 | 0.611924 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,509 | 0.454857 |
904a907ab750687eb1de030da0541431f23b5d88 | 1,081 | py | Python | Sem-09-T1-Q5.py | daianasousa/Semana-09 | decfc9b47931ae4f5a4f30a0d26b931ecd548f59 | [
"MIT"
] | null | null | null | Sem-09-T1-Q5.py | daianasousa/Semana-09 | decfc9b47931ae4f5a4f30a0d26b931ecd548f59 | [
"MIT"
] | null | null | null | Sem-09-T1-Q5.py | daianasousa/Semana-09 | decfc9b47931ae4f5a4f30a0d26b931ecd548f59 | [
"MIT"
] | null | null | null | def carrega_cidades():
resultado = []
with open('cidades.csv', 'r', encoding='utf-8') as arquivo:
for linha in arquivo:
uf, ibge, nome, dia, mes, pop = linha.split(';')
resultado.append(
(uf, int(ibge), nome, int(dia), int(mes), int(pop))
)
arquivo... | 30.885714 | 138 | 0.543941 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 331 | 0.304508 |
5f3a8ec38dd614e2783df50d617c5b8f3ca8b0f8 | 1,428 | py | Python | data_split.py | CodeDogandCat/ChineseGrammarErrorDiagnose | 4e1ec745ae938f742c6afb0e88b08ea50c6028cb | [
"Apache-2.0"
] | null | null | null | data_split.py | CodeDogandCat/ChineseGrammarErrorDiagnose | 4e1ec745ae938f742c6afb0e88b08ea50c6028cb | [
"Apache-2.0"
] | null | null | null | data_split.py | CodeDogandCat/ChineseGrammarErrorDiagnose | 4e1ec745ae938f742c6afb0e88b08ea50c6028cb | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import re
# from pyltp import Segmentor
import jieba.posseg as pseg
import jieba
import os
import sys
import json
import math
# import kenlm
import nltk
from collections import Counter
def dataSplit(inputpath, count):
(filepath, tempfilename) = os.path.split(inputpath)
(filename, exten... | 28 | 81 | 0.621148 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 315 | 0.218447 |
5f3bba72b50ee67716dbeda71e53db5b079da28f | 2,435 | py | Python | Code/Python/pract_fund1_sol.py | kunal-mulki/Materials | b76bba123002972e4063b9b24cd5dc3d980e16e9 | [
"MIT"
] | 27 | 2016-12-07T17:38:41.000Z | 2021-06-28T06:19:49.000Z | Code/Python/pract_fund1_sol.py | kunal-mulki/Materials | b76bba123002972e4063b9b24cd5dc3d980e16e9 | [
"MIT"
] | 27 | 2016-05-28T21:32:24.000Z | 2016-12-08T16:47:09.000Z | Code/Python/pract_fund1_sol.py | NYUDataBootcamp/Materials | b76bba123002972e4063b9b24cd5dc3d980e16e9 | [
"MIT"
] | 50 | 2016-10-12T11:04:50.000Z | 2021-06-01T23:24:45.000Z | """
Practice problems, Python fundamentals 1 -- Solutions
@authors: Balint Szoke, Daniel Csaba
@date: 06/02/2017
"""
#-------------------------------------------------------
# 1) Solution
good_string = "Sarah's code"
#or
good_string = """Sarah's code"""
#-------------------------------------------------------
... | 21.936937 | 62 | 0.433265 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,398 | 0.574127 |
5f3df5f78e78d0ee2fc42ec4cf3a85208b508f67 | 7,178 | py | Python | eos/old_scott_ANEOS_conversion.py | ScottHull/FDPS_SPH | 6db11d599d433f889da100e78c17d6f65365ceda | [
"MIT"
] | null | null | null | eos/old_scott_ANEOS_conversion.py | ScottHull/FDPS_SPH | 6db11d599d433f889da100e78c17d6f65365ceda | [
"MIT"
] | null | null | null | eos/old_scott_ANEOS_conversion.py | ScottHull/FDPS_SPH | 6db11d599d433f889da100e78c17d6f65365ceda | [
"MIT"
] | null | null | null | """
This is a python script that converts u(rho, T), P(rho, T), Cs(rho,T), S(rho, T)
to T(rho, u), P(rho, u), Cs(rho, u), S(rho, u), which is more useful for SPH calculations
"""
import matplotlib.pyplot as plt
from collections import OrderedDict
import numpy as np
import pandas as pd
import csv
import sys
from scipy... | 34.344498 | 146 | 0.636389 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,924 | 0.54667 |
5f3f44af77a5d9949e7fe7c6858624af3b7fa923 | 346 | py | Python | scheduler/post_scheduler/urls.py | Awinja-j/Social-Media-post-Scheduler | 4f95b4bb2ca3f890d3e22bcda859b94ebc483b87 | [
"MIT"
] | 1 | 2021-05-08T08:21:06.000Z | 2021-05-08T08:21:06.000Z | scheduler/post_scheduler/urls.py | Awinja-j/Social-Media-post-Scheduler | 4f95b4bb2ca3f890d3e22bcda859b94ebc483b87 | [
"MIT"
] | null | null | null | scheduler/post_scheduler/urls.py | Awinja-j/Social-Media-post-Scheduler | 4f95b4bb2ca3f890d3e22bcda859b94ebc483b87 | [
"MIT"
] | null | null | null | from django.urls import path
from . import views
urlpatterns = [
path('post_posts', views.post_posts),
path('fetch_posts', views.get_posts),
path('fetch_post/<pk>', views.get_post),
path('delete_post/<pk>', views.delete_post),
path('edit_post/<pk>', views.edit_post),
path('search_for_a_post', v... | 28.833333 | 54 | 0.699422 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 95 | 0.274566 |
5f3fad78b868dac1b90ecb78a5594353e0e31396 | 506 | py | Python | dato-graphlab/src/config.py | warreee/apache-flink_vs_dato-graphlab | cd01cee208461479d3f27489ab45df439b8b9820 | [
"Apache-2.0"
] | null | null | null | dato-graphlab/src/config.py | warreee/apache-flink_vs_dato-graphlab | cd01cee208461479d3f27489ab45df439b8b9820 | [
"Apache-2.0"
] | null | null | null | dato-graphlab/src/config.py | warreee/apache-flink_vs_dato-graphlab | cd01cee208461479d3f27489ab45df439b8b9820 | [
"Apache-2.0"
] | null | null | null | import os
def getDataPath():
return os.getcwd().replace("dato-graphlab/src", "data/")
def getSmall():
return getDataPath() + "sample-small.txt"
def getMedium():
return getDataPath() + "sample-medium.txt"
def getLarge():
return getDataPath() + "sample-large.txt"
def getGoogle():
return getDa... | 16.322581 | 63 | 0.666008 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 144 | 0.284585 |
5f42caff296a8e9070523febb1d633e533ecbfff | 950 | py | Python | tools.py | chougousui/keyboard_layout_for_mobile | 3bb59169f10ac56fb82cb62be07f821f1ecac22e | [
"MIT"
] | 5 | 2019-06-12T09:29:06.000Z | 2020-12-31T08:53:19.000Z | tools.py | chougousui/keyboard_layout_for_mobile | 3bb59169f10ac56fb82cb62be07f821f1ecac22e | [
"MIT"
] | null | null | null | tools.py | chougousui/keyboard_layout_for_mobile | 3bb59169f10ac56fb82cb62be07f821f1ecac22e | [
"MIT"
] | null | null | null | import numpy as np
def generate_cost_dict():
def inner_func(i, j):
x1 = i % 10
y1 = i // 10
x2 = j % 10
y2 = j // 10
alpha = 5
x_center = 5.5
x_radius = 7.5
y_center = 1
y_radius = 4.5
dist = np.sqrt(47 * 47 * np.square(x1 - x2) + 7... | 29.6875 | 119 | 0.489474 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5f43a06d91c00b879b94bd9ca11de4d7d8fcab07 | 377 | py | Python | full-stack/backend/django-app/django-jwt-app/settings/urls.py | mp5maker/library | b4d2eea70ae0da9d917285569031edfb4d8ab9fc | [
"MIT"
] | null | null | null | full-stack/backend/django-app/django-jwt-app/settings/urls.py | mp5maker/library | b4d2eea70ae0da9d917285569031edfb4d8ab9fc | [
"MIT"
] | 23 | 2020-08-15T15:18:32.000Z | 2022-02-26T13:49:05.000Z | full-stack/backend/django-app/django-jwt-app/settings/urls.py | mp5maker/library | b4d2eea70ae0da9d917285569031edfb4d8ab9fc | [
"MIT"
] | null | null | null | from django.contrib import admin
from django.urls import path, include
from rest_framework_jwt.views import (
obtain_jwt_token,
refresh_jwt_token,
)
urlpatterns = [
path('admin/', admin.site.urls),
path('token-auth/', obtain_jwt_token),
path('token-refresh/', refresh_jwt_token),
path('employ... | 22.176471 | 70 | 0.710875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 73 | 0.193634 |
5f45037068a6ca19658fc2ba430b609e4386fc29 | 15,989 | py | Python | models/train_classifier.py | tarcisobraz/disaster-message-clf | 22de03350a0f993005564a1d07a43da6bd989e67 | [
"DOC"
] | null | null | null | models/train_classifier.py | tarcisobraz/disaster-message-clf | 22de03350a0f993005564a1d07a43da6bd989e67 | [
"DOC"
] | null | null | null | models/train_classifier.py | tarcisobraz/disaster-message-clf | 22de03350a0f993005564a1d07a43da6bd989e67 | [
"DOC"
] | null | null | null | #General libs
import sys
import os
import json
from datetime import datetime
import time
#Data wrangling libs
import pandas as pd
import numpy as np
#DB related libs
from sqlalchemy import create_engine
#ML models related libs
from sklearn.pipeline import Pipeline, FeatureUnion
from sklearn.metrics import confusion_... | 37.888626 | 117 | 0.659704 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6,550 | 0.409657 |
5f468ef647d08df9b7e435bbbbaaf01ef4277cf4 | 148 | py | Python | src/cortexpy/test/constants.py | karljohanw/cortexpy | 70dcce771136f98edb5250ad8abd2a46bda7f0a6 | [
"Apache-2.0"
] | 2 | 2020-04-08T15:31:12.000Z | 2020-07-01T11:04:47.000Z | src/cortexpy/test/constants.py | karljohanw/cortexpy | 70dcce771136f98edb5250ad8abd2a46bda7f0a6 | [
"Apache-2.0"
] | 9 | 2018-09-12T09:29:43.000Z | 2020-03-15T09:11:25.000Z | src/cortexpy/test/constants.py | karljohanw/cortexpy | 70dcce771136f98edb5250ad8abd2a46bda7f0a6 | [
"Apache-2.0"
] | 1 | 2019-03-29T10:59:13.000Z | 2019-03-29T10:59:13.000Z | import struct
MAX_UINT = 2 ** (struct.calcsize('I') * 8) - 1
MAX_ULONG = 2 ** (struct.calcsize('L') * 8) - 1
UINT8_T = 1
UINT32_T = 4
UINT64_T = 8
| 18.5 | 47 | 0.614865 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0.040541 |
5f47bfe261a0653163329656400b45e38dc2e334 | 2,103 | py | Python | tests/functional_tests/authors/test_authors_login.py | Kaique425/recipes | ab188dbe1ca3891160f65a7858613b8750faa721 | [
"MIT"
] | null | null | null | tests/functional_tests/authors/test_authors_login.py | Kaique425/recipes | ab188dbe1ca3891160f65a7858613b8750faa721 | [
"MIT"
] | null | null | null | tests/functional_tests/authors/test_authors_login.py | Kaique425/recipes | ab188dbe1ca3891160f65a7858613b8750faa721 | [
"MIT"
] | null | null | null | import pytest
from django.contrib.auth.models import User
from django.urls import reverse
from selenium.webdriver.common.by import By
from .base import AuthorBaseFunctionalTest
@pytest.mark.functional_test
class AuthorLoginTest(AuthorBaseFunctionalTest):
def test_user_valid_data_can_login_successfully(self):
... | 37.553571 | 85 | 0.661912 | 1,893 | 0.900143 | 0 | 0 | 1,922 | 0.913932 | 0 | 0 | 368 | 0.174988 |
5f483bb62aff2e6859980fe0b75abe98dd22d479 | 3,873 | py | Python | fixture/contact.py | piersto/python_training | a5e323f62177e97d31e39449d675192354ec70ed | [
"Apache-2.0"
] | null | null | null | fixture/contact.py | piersto/python_training | a5e323f62177e97d31e39449d675192354ec70ed | [
"Apache-2.0"
] | null | null | null | fixture/contact.py | piersto/python_training | a5e323f62177e97d31e39449d675192354ec70ed | [
"Apache-2.0"
] | null | null | null | class ContactHelper:
def __init__(self, app):
self.app = app
def submit_specified_user(self):
wd = self.app.wd
wd.find_element_by_xpath("(//input[@name='submit'])[2]").click()
def add_user(self, add_new_contact):
wd = self.app.wd
wd.find_element_by_... | 60.515625 | 110 | 0.674154 | 3,873 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 456 | 0.117738 |
5f4b11817e6c6f5664fb7eebcff8bd3df9ed5773 | 42 | py | Python | varex/__init__.py | weiyi-bitw/varex | 765e8876c0ced480a47c0e523736bd31b7897644 | [
"MIT"
] | null | null | null | varex/__init__.py | weiyi-bitw/varex | 765e8876c0ced480a47c0e523736bd31b7897644 | [
"MIT"
] | null | null | null | varex/__init__.py | weiyi-bitw/varex | 765e8876c0ced480a47c0e523736bd31b7897644 | [
"MIT"
] | null | null | null | from .commons import VCFEntry, LabeledMat
| 21 | 41 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5f4ba7ea00a9b4ae2bec68e16163449e185187d1 | 2,612 | py | Python | simulation/battery/base_battery.py | BillMakwae/Simulation | 8d0ec274643f23bc0e78c96e50508b60791c11d2 | [
"MIT"
] | 8 | 2020-03-29T01:44:16.000Z | 2022-03-26T23:15:34.000Z | simulation/battery/base_battery.py | BillMakwae/Simulation | 8d0ec274643f23bc0e78c96e50508b60791c11d2 | [
"MIT"
] | 60 | 2020-02-08T22:07:16.000Z | 2022-03-26T23:51:55.000Z | simulation/battery/base_battery.py | BillMakwae/Simulation | 8d0ec274643f23bc0e78c96e50508b60791c11d2 | [
"MIT"
] | 1 | 2021-10-20T20:07:06.000Z | 2021-10-20T20:07:06.000Z | from simulation.common import Storage
from simulation.common import BatteryEmptyError
class BaseBattery(Storage):
def __init__(self, initial_energy, max_current_capacity, max_energy_capacity,
max_voltage, min_voltage, voltage, state_of_charge):
super().__init__()
# Constants
... | 39.575758 | 116 | 0.61562 | 2,523 | 0.965926 | 0 | 0 | 0 | 0 | 0 | 0 | 776 | 0.29709 |
5f501af017d1618fd9d8ac7f58bef0af07c22038 | 2,757 | py | Python | MLP/Detectar cancer de mama/Cancer_mama_simples.py | alex7alves/Deep-Learning | 7843629d5367f3ea8b15915a7ba3667cf7a65587 | [
"Apache-2.0"
] | null | null | null | MLP/Detectar cancer de mama/Cancer_mama_simples.py | alex7alves/Deep-Learning | 7843629d5367f3ea8b15915a7ba3667cf7a65587 | [
"Apache-2.0"
] | null | null | null | MLP/Detectar cancer de mama/Cancer_mama_simples.py | alex7alves/Deep-Learning | 7843629d5367f3ea8b15915a7ba3667cf7a65587 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Wed Oct 17 21:04:48 2018
@author: Alex Alves
Programa para determinar se um tumor de mama
é benigno (saida 0) ou maligno (saida 1)
"""
import pandas as pa
# Importação para poder dividir os dados entre treinamento da rede e testes de validação
from skl... | 33.216867 | 114 | 0.791077 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,504 | 0.541982 |
5f50dd9219cff3c1253c4849dd5381638d312cc3 | 1,214 | py | Python | py/py_0736_paths_to_equality.py | lcsm29/project-euler | fab794ece5aa7a11fc7c2177f26250f40a5b1447 | [
"MIT"
] | null | null | null | py/py_0736_paths_to_equality.py | lcsm29/project-euler | fab794ece5aa7a11fc7c2177f26250f40a5b1447 | [
"MIT"
] | null | null | null | py/py_0736_paths_to_equality.py | lcsm29/project-euler | fab794ece5aa7a11fc7c2177f26250f40a5b1447 | [
"MIT"
] | null | null | null | # Solution of;
# Project Euler Problem 736: Paths to Equality
# https://projecteuler.net/problem=736
#
# Define two functions on lattice points:$r(x,y) = (x+1,2y)$$s(x,y) =
# (2x,y+1)$A path to equality of length $n$ for a pair $(a,b)$ is a sequence
# $\Big((a_1,b_1),(a_2,b_2),\ldots,(a_n,b_n)\Big)$, where:$(a_1,b_1... | 40.466667 | 213 | 0.651565 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,056 | 0.869852 |
5f548523f9dcf1f62a0e2fe0f345f22d699939d1 | 1,728 | py | Python | codejam/2020-qualification/d.py | Ashindustry007/competitive-programming | 2eabd3975c029d235abb7854569593d334acae2f | [
"WTFPL"
] | 506 | 2018-08-22T10:30:38.000Z | 2022-03-31T10:01:49.000Z | codejam/2020-qualification/d.py | Ashindustry007/competitive-programming | 2eabd3975c029d235abb7854569593d334acae2f | [
"WTFPL"
] | 13 | 2019-08-07T18:31:18.000Z | 2020-12-15T21:54:41.000Z | codejam/2020-qualification/d.py | Ashindustry007/competitive-programming | 2eabd3975c029d235abb7854569593d334acae2f | [
"WTFPL"
] | 234 | 2018-08-06T17:11:41.000Z | 2022-03-26T10:56:42.000Z | #!/usr/bin/env python3
# https://codingcompetitions.withgoogle.com/codejam/round/000000000019fd27/0000000000209a9e
t, b = map(int, input().split())
for _ in range(t):
xs = [None] * b
q, k, k1, k2 = 0, 0, None, None
def query(k):
global q
q += 1
print(k)
r = int(input())
... | 27 | 91 | 0.358218 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 118 | 0.068287 |
5f54a49151f01f5e6cf35cf93d8091376f6fa1d7 | 431 | py | Python | doping_test/Standard.py | Biewer/Doping-Tests-for-Cyber-Physical-Systems-Tool | eb359ba618f0022dcd403edc99904f3ef2940e65 | [
"MIT"
] | null | null | null | doping_test/Standard.py | Biewer/Doping-Tests-for-Cyber-Physical-Systems-Tool | eb359ba618f0022dcd403edc99904f3ef2940e65 | [
"MIT"
] | null | null | null | doping_test/Standard.py | Biewer/Doping-Tests-for-Cyber-Physical-Systems-Tool | eb359ba618f0022dcd403edc99904f3ef2940e65 | [
"MIT"
] | null | null | null | class Standard(object):
"""Abstract class for representation of Standard LTS"""
def __init__(self):
super(Standard, self).__init__()
def get_any_trace(self, boundary):
# Return any of the traces of standard LTS S
raise NotImplementedError('Abstract method not implemented!')
def get_traces(self, boundary):
... | 30.785714 | 63 | 0.756381 | 429 | 0.99536 | 0 | 0 | 0 | 0 | 0 | 0 | 210 | 0.487239 |
5f587bf36e711ee18aa81e26269a6338ac9328eb | 1,388 | py | Python | Stephanie/updater.py | JeremyARussell/stephanie-va | acc894fa69b4e5559308067d525f71f951ecc258 | [
"MIT"
] | 866 | 2017-06-10T19:25:28.000Z | 2022-01-06T18:29:36.000Z | Stephanie/updater.py | JeremyARussell/stephanie-va | acc894fa69b4e5559308067d525f71f951ecc258 | [
"MIT"
] | 54 | 2017-06-11T06:41:19.000Z | 2022-01-10T23:06:03.000Z | Stephanie/updater.py | JeremyARussell/stephanie-va | acc894fa69b4e5559308067d525f71f951ecc258 | [
"MIT"
] | 167 | 2017-06-10T19:32:54.000Z | 2022-01-03T07:01:39.000Z | import requests
from Stephanie.configurer import config
class Updater:
def __init__(self, speaker):
self.speaker = speaker
self.c = config
self.current_version = self.c.config.get("APPLICATION", "version")
self.update_url = "https://raw.githubusercontent.com/SlapBot/va-version-check/master/version.json"
se... | 34.7 | 142 | 0.730548 | 1,329 | 0.957493 | 0 | 0 | 0 | 0 | 0 | 0 | 539 | 0.388329 |
5f591fe59a581e7f936f818cedb0f094b131b698 | 24,533 | py | Python | WORC/featureprocessing/ComBat.py | MStarmans91/WORC | b6b8fc2ccb7d443a69b5ca20b1d6efb65b3f0fc7 | [
"ECL-2.0",
"Apache-2.0"
] | 47 | 2018-01-28T14:08:15.000Z | 2022-03-24T16:10:07.000Z | WORC/featureprocessing/ComBat.py | JZK00/WORC | 14e8099835eccb35d49b52b97c0be64ecca3809c | [
"ECL-2.0",
"Apache-2.0"
] | 13 | 2018-08-28T13:32:57.000Z | 2020-10-26T16:35:59.000Z | WORC/featureprocessing/ComBat.py | JZK00/WORC | 14e8099835eccb35d49b52b97c0be64ecca3809c | [
"ECL-2.0",
"Apache-2.0"
] | 16 | 2017-11-13T10:53:36.000Z | 2022-03-18T17:02:04.000Z | #!/usr/bin/env python
# Copyright 2020 Biomedical Imaging Group Rotterdam, Departments of
# Medical Informatics and Radiology, Erasmus MC, Rotterdam, The Netherlands
#
# 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... | 40.684909 | 161 | 0.604329 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5,937 | 0.242001 |
5f59e320e469d3924b3247fe49f94eea11acee62 | 727 | py | Python | setup.py | mariocesar/pg-worker | d79c6daa8825226c754330c21150e4e416b09005 | [
"MIT"
] | 1 | 2020-06-03T21:21:03.000Z | 2020-06-03T21:21:03.000Z | setup.py | mariocesar/pg-worker | d79c6daa8825226c754330c21150e4e416b09005 | [
"MIT"
] | null | null | null | setup.py | mariocesar/pg-worker | d79c6daa8825226c754330c21150e4e416b09005 | [
"MIT"
] | null | null | null | import os
import sys
from setuptools import setup, find_packages
ROOT = os.path.realpath(os.path.join(os.path.dirname(
sys.modules['__main__'].__file__)))
sys.path.insert(0, os.path.join(ROOT, 'src'))
setup(
name='pgworker',
packages=find_packages('src'),
package_dir={'': 'src'},
classifiers=[
... | 24.233333 | 53 | 0.603851 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 315 | 0.433287 |
5f5a0eafce7a5f076591e84cd9440a10e1d4e795 | 2,040 | py | Python | PyBank/main.py | gentikosumi/python-challenge | e6532bf1033f5272616d4f8a1cf623bbafe1a1c2 | [
"ADSL"
] | null | null | null | PyBank/main.py | gentikosumi/python-challenge | e6532bf1033f5272616d4f8a1cf623bbafe1a1c2 | [
"ADSL"
] | null | null | null | PyBank/main.py | gentikosumi/python-challenge | e6532bf1033f5272616d4f8a1cf623bbafe1a1c2 | [
"ADSL"
] | null | null | null | import os
import csv
path = '/Users/kevinkosumi12345/Genti/python-challenge/PyBank/Resources/budget_data.csv'
budget_csv=os.path.join("../Resources", "budget_data.csv")
csvfile = open(path, newline="")
reader=csv.reader(csvfile, delimiter=",")
header = next(reader)
# print(header)
# the columns we have to convert ... | 30.909091 | 129 | 0.702451 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,058 | 0.518627 |
5f5b2c35892025ff370debbb01a9bff69a798ad0 | 1,516 | py | Python | models/python/hypothalamus/dynamical/old/simple.py | ABRG-Models/MammalBot | 0b153232b94197c7a65156c1c3451ab2b9f725ae | [
"MIT"
] | null | null | null | models/python/hypothalamus/dynamical/old/simple.py | ABRG-Models/MammalBot | 0b153232b94197c7a65156c1c3451ab2b9f725ae | [
"MIT"
] | null | null | null | models/python/hypothalamus/dynamical/old/simple.py | ABRG-Models/MammalBot | 0b153232b94197c7a65156c1c3451ab2b9f725ae | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
T = 30000
# v = 0.02906
# v = 0.617085
v = 0.99
h = 0.01
a = 0.5
b = 0.5
epsilon = 0.05
c = 0.4
eta = lambda rho: np.exp(-(rho)**2/(2*c**2))
nrho = lambda rho, v: -2.0*(rho**3 + (rho-1.0)*v/2.0 - rho)/(rho + 1.0)
nu = lambda rho: (b - eta(rho+1))/a
u = np.zeros(T)
... | 28.603774 | 85 | 0.529024 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 329 | 0.217018 |
5f5c0b0acb48624cb76c04ec88d096e81b40a0f1 | 176 | py | Python | test_script.py | SamPurle/DE17_Flask | a6462b85854f7bd72c80ebcc555d50488ef17e67 | [
"MIT"
] | null | null | null | test_script.py | SamPurle/DE17_Flask | a6462b85854f7bd72c80ebcc555d50488ef17e67 | [
"MIT"
] | null | null | null | test_script.py | SamPurle/DE17_Flask | a6462b85854f7bd72c80ebcc555d50488ef17e67 | [
"MIT"
] | null | null | null | import numpy as np
import os
my_array = np.zeros(10)
print(my_array)
os.system('pip freeze > requirements.txt')
my_list = [1,2,3,4,5]
for item in my_list:
print(item)
| 12.571429 | 42 | 0.693182 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 0.176136 |
5f5ebabcae4886b932638d5f3ecd10d1eb595d7b | 6,058 | py | Python | lib/blastin.py | zbwrnz/blastdbm | ee694c01ebb00779623702738a9c958fd496a080 | [
"Unlicense"
] | 1 | 2018-03-22T10:34:20.000Z | 2018-03-22T10:34:20.000Z | lib/blastin.py | arendsee/blastdbm | ee694c01ebb00779623702738a9c958fd496a080 | [
"Unlicense"
] | null | null | null | lib/blastin.py | arendsee/blastdbm | ee694c01ebb00779623702738a9c958fd496a080 | [
"Unlicense"
] | null | null | null | #! /usr/bin/python3
import argparse
import os
import re
import sqlite3 as sql
import sys
import xml.etree.cElementTree as et
import traceback
import lib.initialize as initialize
import lib.sqlite_interface as misc
import lib.meta as meta
# ==================
# EXPORTED FUNCTIONS
# ==================
def parse(pare... | 31.552083 | 83 | 0.530538 | 3,064 | 0.505777 | 0 | 0 | 0 | 0 | 0 | 0 | 1,322 | 0.218224 |
5f63c4934790515bb6fc74d4d7ecc9a70d977a36 | 646 | py | Python | tests/test_get_image.py | kortizceballos/codeastro-group6 | 9f0ceb8a0fca3e619dbabe97105a3f283e59fa04 | [
"BSD-3-Clause"
] | 1 | 2021-06-25T21:20:42.000Z | 2021-06-25T21:20:42.000Z | tests/test_get_image.py | kortizceballos/codeastro-group6 | 9f0ceb8a0fca3e619dbabe97105a3f283e59fa04 | [
"BSD-3-Clause"
] | null | null | null | tests/test_get_image.py | kortizceballos/codeastro-group6 | 9f0ceb8a0fca3e619dbabe97105a3f283e59fa04 | [
"BSD-3-Clause"
] | null | null | null | from matplotlib.pyplot import get
import pyhips
from pyhips import get_image
def test_get_image():
"""
Tests the get_image() function to make sure no errors are thrown.
"""
assert get_image("Vega", frame="ICRS", survey="DSS", cmap="plasma") == 0
assert get_image("notanid", frame="ICRS", survey="D... | 35.888889 | 83 | 0.662539 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 237 | 0.366873 |
5f65055d81665e397feccfc78dd6d2f299634b64 | 138 | py | Python | cumulus2/template.py | peterkh/cumulus2 | 11352ce469acb0c319ba9cfb8691d80f4ae5048e | [
"Apache-2.0"
] | 1 | 2016-02-12T11:54:07.000Z | 2016-02-12T11:54:07.000Z | cumulus2/template.py | peterkh/cumulus2 | 11352ce469acb0c319ba9cfb8691d80f4ae5048e | [
"Apache-2.0"
] | null | null | null | cumulus2/template.py | peterkh/cumulus2 | 11352ce469acb0c319ba9cfb8691d80f4ae5048e | [
"Apache-2.0"
] | null | null | null | """
Template module for cumulus.
template class for reading yaml tempalte and creating data_source objects to
retrieve external data.
"""
| 23 | 76 | 0.797101 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 137 | 0.992754 |
5f67096a7114362044846dbb3a2978d1562f88ac | 700 | py | Python | Python-AI-Algorithms/Bubble_sort.py | screadore/Artificial-Intelligence-Sorting-Algorithms | d69f34dbd02556c6a7bbb8e0dee45ab7fdb4b12c | [
"MIT"
] | null | null | null | Python-AI-Algorithms/Bubble_sort.py | screadore/Artificial-Intelligence-Sorting-Algorithms | d69f34dbd02556c6a7bbb8e0dee45ab7fdb4b12c | [
"MIT"
] | null | null | null | Python-AI-Algorithms/Bubble_sort.py | screadore/Artificial-Intelligence-Sorting-Algorithms | d69f34dbd02556c6a7bbb8e0dee45ab7fdb4b12c | [
"MIT"
] | null | null | null | # Bubble sort steps through the list and compares adjacent pairs of elements. The elements are swapped if they are in the wrong order. The pass through the unsorted portion of the list is repeated until the list is sorted. Because Bubble sort repeatedly passes through the unsorted part of the list, it has a worst case... | 36.842105 | 342 | 0.591429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 343 | 0.489301 |
5f670af72f12c73cbff679c29371d4269f74b778 | 551 | py | Python | Practice/Python/Strings/the_minion_game.py | nifannn/HackerRank | b05318251226704b1fb949c29aa49493d6ced44b | [
"MIT"
] | 7 | 2019-02-22T10:34:26.000Z | 2021-07-13T01:51:48.000Z | Practice/Python/Strings/the_minion_game.py | nifannn/HackerRank | b05318251226704b1fb949c29aa49493d6ced44b | [
"MIT"
] | null | null | null | Practice/Python/Strings/the_minion_game.py | nifannn/HackerRank | b05318251226704b1fb949c29aa49493d6ced44b | [
"MIT"
] | 7 | 2018-11-09T13:52:34.000Z | 2021-03-18T20:36:22.000Z | def minion_game(string):
# Stuart score
s_idx = [i for i, c in enumerate(string) if c not in 'AEIOU']
s_score = sum([len(string)-i for i in s_idx])
# Kevin score
k_idx = [i for i, c in enumerate(string) if c in 'AEIOU']
k_score = sum([len(string)-i for i in k_idx])
# final result
if k_sc... | 30.611111 | 65 | 0.604356 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 0.199637 |
5f6e27388481683369aca2bd805d2c503d7286e8 | 189 | py | Python | deep_learning_zero/ch5/sample.py | kaito0223/shakyou | 8d901b4da24fbf0c708e3eb429a57d194e9857c1 | [
"MIT"
] | null | null | null | deep_learning_zero/ch5/sample.py | kaito0223/shakyou | 8d901b4da24fbf0c708e3eb429a57d194e9857c1 | [
"MIT"
] | null | null | null | deep_learning_zero/ch5/sample.py | kaito0223/shakyou | 8d901b4da24fbf0c708e3eb429a57d194e9857c1 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import numpy as np
X = np.random.rand(2) #input
W = np.random.rand(2,3) #weight
B = np.random.rand(3) #bias
print(X)
print(W)
print(B)
Y=np.dot(X,W)+B
print(Y)
| 11.8125 | 31 | 0.613757 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 41 | 0.216931 |
5f71554b9254c1a62eba83f18f61c6f664cfe709 | 2,485 | py | Python | bdd/contact_stepts.py | LukinVV/python_training | 9e6eb57fe9527fd591d563b4219c19e49188c4de | [
"Apache-2.0"
] | null | null | null | bdd/contact_stepts.py | LukinVV/python_training | 9e6eb57fe9527fd591d563b4219c19e49188c4de | [
"Apache-2.0"
] | null | null | null | bdd/contact_stepts.py | LukinVV/python_training | 9e6eb57fe9527fd591d563b4219c19e49188c4de | [
"Apache-2.0"
] | null | null | null | from pytest_bdd import given, when, then
from model.contact import Contact
import random
@given('a contact list')
def contact_list(orm):
return orm.get_contact_list()
@given('a contact with <firstname>, <lastname> and <address>')
def new_contact(firstname, lastname, address):
return Contact(firstname=firstnam... | 42.118644 | 101 | 0.781087 | 0 | 0 | 0 | 0 | 2,377 | 0.956539 | 0 | 0 | 481 | 0.193561 |
5f72286dd657c066d24e11dfe7993aa6f68aabbc | 769 | py | Python | FigureMaker.py | space-physics/histfeas | caa0100087d8c2b8711c1c3cb60c322379ef5431 | [
"MIT"
] | null | null | null | FigureMaker.py | space-physics/histfeas | caa0100087d8c2b8711c1c3cb60c322379ef5431 | [
"MIT"
] | null | null | null | FigureMaker.py | space-physics/histfeas | caa0100087d8c2b8711c1c3cb60c322379ef5431 | [
"MIT"
] | 1 | 2015-05-22T23:51:58.000Z | 2015-05-22T23:51:58.000Z | #!/usr/bin/env python
"""
Figures generated by HiST program
intended for use with in/ files including:
*_flame.ini
*_impulse.ini
*_trans.ini
Flaming Aurora 2 cameras:
./FigureMaker.py in/2cam_flame.ini
Translating Aurora 2 cameras:
./FigureMaker.py in/2cam_trans.ini
Impulse Aurora (for testing):
./FigureMaker.py in... | 20.783784 | 55 | 0.758127 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 571 | 0.742523 |
5f72433b75556b159f57faa7593653f49eb2cb21 | 3,557 | py | Python | T53/webapp/accounts/models.py | DevelopAppWithMe/Hackathon_5.0 | 6af503a995721c04986931d6a29d8f946ceaa067 | [
"MIT"
] | null | null | null | T53/webapp/accounts/models.py | DevelopAppWithMe/Hackathon_5.0 | 6af503a995721c04986931d6a29d8f946ceaa067 | [
"MIT"
] | null | null | null | T53/webapp/accounts/models.py | DevelopAppWithMe/Hackathon_5.0 | 6af503a995721c04986931d6a29d8f946ceaa067 | [
"MIT"
] | null | null | null | from django.db import models
# Create your models here.
from django.contrib.auth.models import (
AbstractBaseUser,
BaseUserManager,
PermissionsMixin,
)
from django.core.validators import RegexValidator
from django.db import models
class UserManager(BaseUserManager):
def create_user(self, phone_numb... | 32.336364 | 104 | 0.687939 | 3,301 | 0.928029 | 0 | 0 | 0 | 0 | 0 | 0 | 749 | 0.210571 |
5f72dad431a7abe4ecae9aa703b14fc2183ff13a | 2,998 | py | Python | pyv6m/ha/v6m.py | dubnom/pyv6m | d56bf3f3d39b7c2f747b08bc1974dc3dbe6ccff8 | [
"MIT"
] | 1 | 2020-02-16T00:42:17.000Z | 2020-02-16T00:42:17.000Z | pyv6m/ha/v6m.py | dubnom/pyv6m | d56bf3f3d39b7c2f747b08bc1974dc3dbe6ccff8 | [
"MIT"
] | null | null | null | pyv6m/ha/v6m.py | dubnom/pyv6m | d56bf3f3d39b7c2f747b08bc1974dc3dbe6ccff8 | [
"MIT"
] | null | null | null | """Component to control v6m relays and sensors.
For more details about this component, please refer to the documentation at
https://home-assistant.io/components/v6m/
"""
import logging
import voluptuous as vol
from homeassistant.const import (
EVENT_HOMEASSISTANT_STOP, CONF_HOST, CONF_PORT, CONF_NAME)
import homea... | 28.552381 | 75 | 0.615744 | 1,894 | 0.631755 | 0 | 0 | 252 | 0.084056 | 0 | 0 | 584 | 0.194797 |
5f7622df0a14efca2dcdfe048326621ae11f4cbc | 550 | py | Python | blog/models.py | Happy-Project-Foundation/HappyProject | 86e9fa7633e68c026e0003f8494df0226fa0dfcf | [
"Apache-2.0"
] | 3 | 2021-12-04T15:00:54.000Z | 2021-12-08T16:07:35.000Z | blog/models.py | BirnadinErick/HappyProject | 4993a2d966d9c1458ce0e29e72c3a758a7a4ef54 | [
"Apache-2.0"
] | 3 | 2021-12-15T00:49:01.000Z | 2021-12-16T00:46:14.000Z | blog/models.py | Happy-Project-Foundation/HappyProject | 86e9fa7633e68c026e0003f8494df0226fa0dfcf | [
"Apache-2.0"
] | 3 | 2021-12-04T14:18:15.000Z | 2021-12-05T08:40:13.000Z | import uuid
from django.db import models
from django.db.models.fields import TextField
class Blog(models.Model):
id = models.UUIDField(primary_key=True, default=uuid.uuid4, editable=False)
title = models.CharField(verbose_name="Title", max_length=150, default="Happy Blog", blank=False)
content = models.T... | 32.352941 | 109 | 0.736364 | 454 | 0.825455 | 0 | 0 | 0 | 0 | 0 | 0 | 53 | 0.096364 |