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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
6d0f4762cb6c7dadca16cfaf81e5ff75638bee31 | 561 | py | Python | setup.py | ztw33/code-sim | 7f81016b2ab005ed826a03ad6833baf831633138 | [
"MIT"
] | null | null | null | setup.py | ztw33/code-sim | 7f81016b2ab005ed826a03ad6833baf831633138 | [
"MIT"
] | null | null | null | setup.py | ztw33/code-sim | 7f81016b2ab005ed826a03ad6833baf831633138 | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
VERSION = "0.1.0"
setup(name="codesim",
version=VERSION,
description="A tool for measuring the similarity between two c++ code files.",
author="Tingwei Zhu",
author_email="tingweizhu33@smail.nju.edu.cn",
license="MIT",
packages=find_packa... | 25.5 | 84 | 0.597148 |
6d112c6bc1fae1e06b84d5fca2b108ce3f6c8d0e | 3,001 | py | Python | wdfn-server/waterdata/tests/commands/lookup_generation/test_wqp_lookups.py | skaymen/waterdataui | 3f419360771a007f8b441d631c782cd67a4e78b4 | [
"CC0-1.0"
] | null | null | null | wdfn-server/waterdata/tests/commands/lookup_generation/test_wqp_lookups.py | skaymen/waterdataui | 3f419360771a007f8b441d631c782cd67a4e78b4 | [
"CC0-1.0"
] | null | null | null | wdfn-server/waterdata/tests/commands/lookup_generation/test_wqp_lookups.py | skaymen/waterdataui | 3f419360771a007f8b441d631c782cd67a4e78b4 | [
"CC0-1.0"
] | null | null | null |
from unittest import TestCase, mock
import requests
from waterdata.commands.lookup_generation.wqp_lookups import (
get_lookup_by_json, is_us_county, get_nwis_state_lookup, get_nwis_county_lookup)
| 36.597561 | 114 | 0.614795 |
6d132e8c6c61ba288e7191f564d48638877b2dac | 6,553 | py | Python | src/SPARQL_BAMS_Store_Query_Example.py | rsoscia/BAMS-to-NeuroLex | e6c3b23725e63c0c9a70a7ef8c7a9ca0789ae153 | [
"MIT"
] | 1 | 2015-11-10T05:20:20.000Z | 2015-11-10T05:20:20.000Z | src/SPARQL_BAMS_Store_Query_Example.py | rsoscia/BAMS-to-NeuroLex | e6c3b23725e63c0c9a70a7ef8c7a9ca0789ae153 | [
"MIT"
] | null | null | null | src/SPARQL_BAMS_Store_Query_Example.py | rsoscia/BAMS-to-NeuroLex | e6c3b23725e63c0c9a70a7ef8c7a9ca0789ae153 | [
"MIT"
] | null | null | null | #SPARQL_BAMS_Store_Query_Example.py
#Accessing Python Interactive Mode:
#python -i SPARQL_BAMS_Store_Query_Example.py
#This program demonstrates a basic query pulling data out of a persisted SPARQL store
#For Parsing
import rdflib
from rdflib import plugin
#for getting the length of the files
import os
#for working... | 29.518018 | 94 | 0.53548 |
6d15f9fd513819715f4bc8c0abb5943c1d4656f1 | 3,767 | py | Python | basic_statistics.py | YitengZhou/cgcnn | e8de8d3c20ba7079314b25a6c5de33cedce4f783 | [
"MIT"
] | 1 | 2020-11-25T09:04:49.000Z | 2020-11-25T09:04:49.000Z | basic_statistics.py | YitengZhou/cgcnn | e8de8d3c20ba7079314b25a6c5de33cedce4f783 | [
"MIT"
] | null | null | null | basic_statistics.py | YitengZhou/cgcnn | e8de8d3c20ba7079314b25a6c5de33cedce4f783 | [
"MIT"
] | 1 | 2022-02-20T11:40:51.000Z | 2022-02-20T11:40:51.000Z | import csv
# # Calculate the proportion of Four types of datasets - energy, piezo, elasticity, diel
# # Energy
# energy = []
# with open('training/energy/energy.csv', 'r', encoding='utf-8') as en:
# reader = csv.reader(en)
# for row in reader:
# energy.append(row[0])
# print(len(energy))
#
# # elas... | 26.907143 | 88 | 0.581099 |
6d16bab14e4db8818657f1325e261ff5865d4eae | 5,434 | py | Python | web2py-appliances-master/SurveyAppFlourish/models/db.py | wantsomechocolate/WantsomeBeanstalk | 8c8a0a80490d04ea52661a3114fd3db8de65a01e | [
"BSD-3-Clause"
] | null | null | null | web2py-appliances-master/SurveyAppFlourish/models/db.py | wantsomechocolate/WantsomeBeanstalk | 8c8a0a80490d04ea52661a3114fd3db8de65a01e | [
"BSD-3-Clause"
] | null | null | null | web2py-appliances-master/SurveyAppFlourish/models/db.py | wantsomechocolate/WantsomeBeanstalk | 8c8a0a80490d04ea52661a3114fd3db8de65a01e | [
"BSD-3-Clause"
] | null | null | null | #########################################################################
# This scaffolding model makes your app work on Google App Engine too #
#########################################################################
try:
from gluon.contrib.gql import * # if running on Google App Engine
except:
db... | 52.25 | 148 | 0.54067 |
6d17da03232576a3082259035f5775a43856feae | 4,407 | py | Python | bax_insertion/plots/bax_bax_fret_nbd_release/plot_all_fret_fits.py | johnbachman/bax_insertion_paper | c9a1f7280998a8c3110f65d604afaa2686cda5c3 | [
"BSD-2-Clause"
] | null | null | null | bax_insertion/plots/bax_bax_fret_nbd_release/plot_all_fret_fits.py | johnbachman/bax_insertion_paper | c9a1f7280998a8c3110f65d604afaa2686cda5c3 | [
"BSD-2-Clause"
] | null | null | null | bax_insertion/plots/bax_bax_fret_nbd_release/plot_all_fret_fits.py | johnbachman/bax_insertion_paper | c9a1f7280998a8c3110f65d604afaa2686cda5c3 | [
"BSD-2-Clause"
] | null | null | null | import os
import sys
import cPickle
import itertools
import numpy as np
from matplotlib import pyplot as plt
from bax_insertion.util import set_fig_params_for_publication, format_axis, \
fontsize
from bax_insertion.plots.bax_bax_fret_nbd_release.preprocess_data import \
nbd_residues... | 38.321739 | 79 | 0.551849 |
6d1cc7830a743e72f8e4afa75122aae3870fb6d8 | 142 | py | Python | Code/htmlfileread.py | coolvikas/pythonHTTPWebServer | 2b89be729380473a24d5089717c1890128861828 | [
"Apache-2.0"
] | null | null | null | Code/htmlfileread.py | coolvikas/pythonHTTPWebServer | 2b89be729380473a24d5089717c1890128861828 | [
"Apache-2.0"
] | null | null | null | Code/htmlfileread.py | coolvikas/pythonHTTPWebServer | 2b89be729380473a24d5089717c1890128861828 | [
"Apache-2.0"
] | null | null | null |
#file_html("myfile.html");
| 15.777778 | 26 | 0.676056 |
6d1f03c1e079c08df6f2724f782ede4a537bd1ea | 2,455 | py | Python | welib/FEM/fem_model.py | moonieann/welib | 0e430ad3ca034d0d2d60bdb7bbe06c947ce08f52 | [
"MIT"
] | 24 | 2019-07-24T23:37:10.000Z | 2022-03-30T20:40:40.000Z | welib/FEM/fem_model.py | moonieann/welib | 0e430ad3ca034d0d2d60bdb7bbe06c947ce08f52 | [
"MIT"
] | null | null | null | welib/FEM/fem_model.py | moonieann/welib | 0e430ad3ca034d0d2d60bdb7bbe06c947ce08f52 | [
"MIT"
] | 11 | 2019-03-14T13:47:04.000Z | 2022-03-31T15:47:27.000Z | import numpy as np
import pandas as pd
from welib.tools.clean_exceptions import *
from welib.FEM.graph import Node as GraphNode
from welib.FEM.graph import Element as GraphElement
from welib.FEM.graph import NodeProperty
from welib.FEM.graph import GraphModel
if __name__=='__main__':
np.set_printoptions(linewidt... | 30.308642 | 114 | 0.607739 |
6d1f45a9ce8e28e7011e284064528bb0f1a5eef0 | 443 | py | Python | authentication.py | Daniel-Timothy-Leads/dtleads-api-helper-reference | 0206ba796a4df07cf0c1ceca0489c58928cade1e | [
"MIT"
] | null | null | null | authentication.py | Daniel-Timothy-Leads/dtleads-api-helper-reference | 0206ba796a4df07cf0c1ceca0489c58928cade1e | [
"MIT"
] | null | null | null | authentication.py | Daniel-Timothy-Leads/dtleads-api-helper-reference | 0206ba796a4df07cf0c1ceca0489c58928cade1e | [
"MIT"
] | null | null | null | import dtleads_api_helper
dtl = dtleads_api_helper.DanielTimothyLeads() # create instance of DTLeads helper
## Authentication/Authorization
results = dtl.authorize_login("<username>", "<password>")
token_details = dtl.handle_response(results)
print(token_details)
## refresh the token
refresh_token = token_details['r... | 31.642857 | 81 | 0.817156 |
6d1f4662ef17b1211c1453baf5dff18656b1d69a | 296 | py | Python | QuizApp/admin.py | mokosaur/legit-quizzes | 6ebca333c2cf5188c47f2163284e90feb8c635cb | [
"MIT"
] | 1 | 2019-01-17T08:47:45.000Z | 2019-01-17T08:47:45.000Z | QuizApp/admin.py | mokosaur/legit-quizzes | 6ebca333c2cf5188c47f2163284e90feb8c635cb | [
"MIT"
] | null | null | null | QuizApp/admin.py | mokosaur/legit-quizzes | 6ebca333c2cf5188c47f2163284e90feb8c635cb | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import Label, Choice, Quiz, Question, Answer, Submit
# Register your models here.
admin.site.register(Quiz)
admin.site.register(Question)
admin.site.register(Answer)
admin.site.register(Label)
admin.site.register(Submit)
admin.site.register(Choice) | 26.909091 | 65 | 0.804054 |
6d1f7ee88bba8f89e9636269382af6be3f1c523c | 1,991 | py | Python | utils/bypass_csv.py | WishesFire/TelegramParser-flexible | 19cca351dd2bd1357037361577bcb72558c540e6 | [
"MIT"
] | 1 | 2021-02-12T21:55:49.000Z | 2021-02-12T21:55:49.000Z | utils/bypass_csv.py | WishesFire/TelegramParser-flexible | 19cca351dd2bd1357037361577bcb72558c540e6 | [
"MIT"
] | null | null | null | utils/bypass_csv.py | WishesFire/TelegramParser-flexible | 19cca351dd2bd1357037361577bcb72558c540e6 | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
from datetime import datetime
| 31.603175 | 105 | 0.620794 |
6d231af20a05018c0a6b1e05a8b4da554a3d0312 | 6,672 | py | Python | cs15211/CombinationSum.py | JulyKikuAkita/PythonPrac | 0ba027d9b8bc7c80bc89ce2da3543ce7a49a403c | [
"Apache-2.0"
] | 1 | 2021-07-05T01:53:30.000Z | 2021-07-05T01:53:30.000Z | cs15211/CombinationSum.py | JulyKikuAkita/PythonPrac | 0ba027d9b8bc7c80bc89ce2da3543ce7a49a403c | [
"Apache-2.0"
] | null | null | null | cs15211/CombinationSum.py | JulyKikuAkita/PythonPrac | 0ba027d9b8bc7c80bc89ce2da3543ce7a49a403c | [
"Apache-2.0"
] | 1 | 2018-01-08T07:14:08.000Z | 2018-01-08T07:14:08.000Z | __source__ = 'https://leetcode.com/problems/combination-sum/description/'
# https://github.com/kamyu104/LeetCode/blob/master/Python/combination-sum.py
# Time: O(n^m)
# Space: O(m)
#
# Description: Leetcode # 39. Combination Sum
#
# Given a set of candidate numbers (C) and a target number (T),
# find all unique combina... | 35.301587 | 138 | 0.578537 |
6d257d0788113ab5fb12a12f65216b5141100b58 | 3,681 | py | Python | apps/qt_kmeans_mysqlventage.py | eavelardev/my-dev-repo | d6c62db4a2ca498bf0bb7c1e97d58ab2036379b7 | [
"MIT"
] | null | null | null | apps/qt_kmeans_mysqlventage.py | eavelardev/my-dev-repo | d6c62db4a2ca498bf0bb7c1e97d58ab2036379b7 | [
"MIT"
] | null | null | null | apps/qt_kmeans_mysqlventage.py | eavelardev/my-dev-repo | d6c62db4a2ca498bf0bb7c1e97d58ab2036379b7 | [
"MIT"
] | 1 | 2021-08-16T07:50:59.000Z | 2021-08-16T07:50:59.000Z | import sys
import argparse
import pandas as pd
from random import randrange
import numpy as np
from PySide2.QtCore import QAbstractTableModel, QModelIndex, QRect, Qt
from PySide2.QtGui import QColor, QPainter
from PySide2.QtWidgets import (QApplication, QGridLayout, QHeaderView,
QTableView, QWidget, QVBoxLayout)
f... | 30.932773 | 111 | 0.679707 |
6d259ad8652754ae6ba08a88636138de14a40976 | 15,712 | py | Python | api/migrations/0001_initial.py | CraftyGirls/REST-Services | 30a435e113953ffe3984f611fcb595b38490e654 | [
"MIT"
] | null | null | null | api/migrations/0001_initial.py | CraftyGirls/REST-Services | 30a435e113953ffe3984f611fcb595b38490e654 | [
"MIT"
] | 22 | 2015-09-09T20:02:12.000Z | 2016-01-22T03:01:08.000Z | api/migrations/0001_initial.py | CraftyGirls/REST-Services | 30a435e113953ffe3984f611fcb595b38490e654 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
from django.conf import settings
| 45.542029 | 430 | 0.542261 |
6d287d8d5b728d11db09aec61a52e43199fca9b8 | 330 | py | Python | probe_f8_eps.py | bskinn/list-of-flake8-entrypoints | c38a55106c7e45b24b42aa7204532a343f2699c4 | [
"MIT"
] | 1 | 2020-08-04T17:57:34.000Z | 2020-08-04T17:57:34.000Z | probe_f8_eps.py | bskinn/list-of-flake8-entrypoints | c38a55106c7e45b24b42aa7204532a343f2699c4 | [
"MIT"
] | 4 | 2020-06-14T17:34:41.000Z | 2020-06-20T23:45:30.000Z | probe_f8_eps.py | bskinn/list-of-flake8-entrypoints | c38a55106c7e45b24b42aa7204532a343f2699c4 | [
"MIT"
] | null | null | null | import importlib.metadata as ilmd
from textwrap import dedent
if __name__ == "__main__":
main()
| 16.5 | 53 | 0.49697 |
6d28938d79b7e76b2cdfa1de69b81852ef790c7e | 3,483 | py | Python | app/main.py | jshcrm/weasley-clock | b7c58c7600528080c66ccc89c1ad0cb6d8ea0073 | [
"Unlicense"
] | null | null | null | app/main.py | jshcrm/weasley-clock | b7c58c7600528080c66ccc89c1ad0cb6d8ea0073 | [
"Unlicense"
] | null | null | null | app/main.py | jshcrm/weasley-clock | b7c58c7600528080c66ccc89c1ad0cb6d8ea0073 | [
"Unlicense"
] | null | null | null |
import kivy
kivy.require('1.0.6')
import json
import subprocess
from datetime import datetime, timedelta
from glob import glob
from kivy.app import App
from kivy.clock import Clock
from kivy.core.window import Window
from kivy.logger import Logger
from kivy.uix.relativelayout import RelativeLayout
from kivy.propertie... | 28.317073 | 87 | 0.633362 |
6d28cfa083a164bca98c7a991aac15a8a0a3b702 | 1,107 | py | Python | handlers/users/check_for_plagiat.py | sololvey/editorbot | 59511f460ad708b1372a506c62117538206a1a1a | [
"MIT"
] | 2 | 2021-09-24T21:45:00.000Z | 2021-09-27T15:30:14.000Z | handlers/users/check_for_plagiat.py | vR4eslav/editorbot | 59511f460ad708b1372a506c62117538206a1a1a | [
"MIT"
] | null | null | null | handlers/users/check_for_plagiat.py | vR4eslav/editorbot | 59511f460ad708b1372a506c62117538206a1a1a | [
"MIT"
] | 1 | 2021-09-17T18:38:05.000Z | 2021-09-17T18:38:05.000Z | from aiogram import types
from aiogram.dispatcher import FSMContext
from aiogram.dispatcher.filters import Command
from antiplagiat import Antiplagiat
from data.config import ADVEGO_TOKEN
from loader import dp, _
api = Antiplagiat(ADVEGO_TOKEN)
| 29.131579 | 94 | 0.711834 |
6d2a10208c314aebb6fd012b6d0972f2ca48afe8 | 1,344 | py | Python | nikkiepy/sockets.py | NikkieDev/nikkiepy | fde9688d53088e25d677d19f675c65933475fddf | [
"MIT"
] | null | null | null | nikkiepy/sockets.py | NikkieDev/nikkiepy | fde9688d53088e25d677d19f675c65933475fddf | [
"MIT"
] | 1 | 2021-09-16T15:02:40.000Z | 2021-09-16T15:09:42.000Z | nikkiepy/sockets.py | NikkieCodes/nikkiepy | ddbc6f67cb3aeb104a335ebd39b29cfe7b6ec0ce | [
"MIT"
] | null | null | null | import socket
import os
| 34.461538 | 144 | 0.627232 |
6d2a475caf65d5042e938885f0834e84b1582f23 | 1,454 | py | Python | arjuna-samples/workspace/arjex-new/tests/s01_config_and_selenium_wrapper/y23_dropdown.py | test-mile/arjuna | 21880b41e061e11bac2e600a3614684f8af75b2f | [
"Apache-2.0"
] | 9 | 2018-11-15T10:09:17.000Z | 2021-01-12T05:59:19.000Z | arjuna-samples/workspace/arjex-new/tests/s01_config_and_selenium_wrapper/y23_dropdown.py | test-mile/arjuna | 21880b41e061e11bac2e600a3614684f8af75b2f | [
"Apache-2.0"
] | 2 | 2019-07-01T15:33:46.000Z | 2019-07-12T13:04:08.000Z | arjuna-samples/workspace/arjex-new/tests/s01_config_and_selenium_wrapper/y23_dropdown.py | test-mile/arjuna | 21880b41e061e11bac2e600a3614684f8af75b2f | [
"Apache-2.0"
] | 4 | 2018-12-02T15:14:04.000Z | 2020-05-28T12:57:24.000Z | '''
Testers use 3 approaches for Dropdown controls in web test automation using Selenium.
1. Using Selenium's Select class as it provides higher level methods.
2. Using sendKeys() method of WebElement.
3. (Especially for custom select controls) - Click the drop down control and then click the option.
Arjuna tries to ... | 33.045455 | 100 | 0.817056 |
6d2a99fecde31a6a4af9bf695cbcd53620a95d2a | 1,066 | py | Python | ax/benchmark/benchmark_method.py | sparks-baird/Ax | 57ba8714902ac218eb87dc2f90090678aa307a43 | [
"MIT"
] | null | null | null | ax/benchmark/benchmark_method.py | sparks-baird/Ax | 57ba8714902ac218eb87dc2f90090678aa307a43 | [
"MIT"
] | null | null | null | ax/benchmark/benchmark_method.py | sparks-baird/Ax | 57ba8714902ac218eb87dc2f90090678aa307a43 | [
"MIT"
] | null | null | null | # Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from dataclasses import dataclass
from ax.exceptions.core import UserInputError
from ax.modelbridge.generation_strategy import GenerationSt... | 35.533333 | 87 | 0.757974 |
6d2aea52e87096103562723426f15bc7bd5295bb | 730 | py | Python | 2020/d12/d12.py | adam-blinzler/advent_of_code_2020 | a9681c04e1618090913411c24d3872cd97fc6ec9 | [
"MIT"
] | null | null | null | 2020/d12/d12.py | adam-blinzler/advent_of_code_2020 | a9681c04e1618090913411c24d3872cd97fc6ec9 | [
"MIT"
] | null | null | null | 2020/d12/d12.py | adam-blinzler/advent_of_code_2020 | a9681c04e1618090913411c24d3872cd97fc6ec9 | [
"MIT"
] | null | null | null | md = [0,0]
facing = "E"
##############################
for l in open("input.txt"):
move(list(l)[0], int(''.join(list(l.strip())[1:])))
print("Manhattan distance =", abs(md[0]) + abs(md[1]))
| 18.717949 | 55 | 0.423288 |
6d2b3418afb5afe27f7faa195e05cfdac751a8a3 | 324 | py | Python | Codeforces/C_Killjoy.py | anubhab-code/Competitive-Programming | de28cb7d44044b9e7d8bdb475da61e37c018ac35 | [
"MIT"
] | null | null | null | Codeforces/C_Killjoy.py | anubhab-code/Competitive-Programming | de28cb7d44044b9e7d8bdb475da61e37c018ac35 | [
"MIT"
] | null | null | null | Codeforces/C_Killjoy.py | anubhab-code/Competitive-Programming | de28cb7d44044b9e7d8bdb475da61e37c018ac35 | [
"MIT"
] | null | null | null | for _ in range(int(input())):
n,x = map(int,input().split())
l = list(map(int,input().split()))
flag=2
if len(set(l)) == 1 and l[0] == x:
flag=0
elif x in l or sum([i-x for i in l])==0:
flag=1
if flag==0:
print(0)
elif flag==1:
print(1)
else:
print... | 21.6 | 44 | 0.462963 |
6d2b49ec034c7246deefff873677796027bac91d | 4,062 | py | Python | examples/random_points_to_surface.py | YuliangXiu/bvh-distance-queries | c7e2151eb054a1b84f41d2b74d6f77d1ff3eac80 | [
"Cube"
] | 9 | 2022-02-07T04:48:47.000Z | 2022-03-18T18:34:35.000Z | examples/random_points_to_surface.py | YuliangXiu/bvh-distance-queries | c7e2151eb054a1b84f41d2b74d6f77d1ff3eac80 | [
"Cube"
] | 1 | 2022-02-11T03:33:45.000Z | 2022-02-11T03:33:45.000Z | examples/random_points_to_surface.py | YuliangXiu/bvh-distance-queries | c7e2151eb054a1b84f41d2b74d6f77d1ff3eac80 | [
"Cube"
] | null | null | null | # -*- coding: utf-8 -*-
# Max-Planck-Gesellschaft zur Frderung der Wissenschaften e.V. (MPG) is
# holder of all proprietary rights on this computer program.
# You can only use this computer program if you have closed
# a license agreement with MPG or you get the right to use the computer
# program from someone who is ... | 31.246154 | 79 | 0.68513 |
6d2dfab6aff32aa71e6750ca1bd9b42e41522133 | 1,130 | py | Python | msgcode/index2.py | MisterZhouZhou/pythonLearn | 8933c7a6d444d3d86a173984e6cf4c08dbf84039 | [
"Apache-2.0"
] | 1 | 2019-07-09T09:59:39.000Z | 2019-07-09T09:59:39.000Z | msgcode/index2.py | MisterZhouZhou/pythonLearn | 8933c7a6d444d3d86a173984e6cf4c08dbf84039 | [
"Apache-2.0"
] | null | null | null | msgcode/index2.py | MisterZhouZhou/pythonLearn | 8933c7a6d444d3d86a173984e6cf4c08dbf84039 | [
"Apache-2.0"
] | null | null | null | import PIL.Image,PIL.ImageDraw,PIL.ImageFont,PIL.ImageFilter
import random
#
#random.randint()65 90,A-Z
#chrkk kkascasckk
#1
#2
width = 60*4
height = 60
image = PIL.Image.new('RGB', (width, height), (255, 255, 255))
#RGBRGB(G)(B)RGB
#font
font = PIL.ImageFont.truetype('fonts.ttf', 36)
#TrueTypeOpenType->->
#d... | 26.904762 | 116 | 0.738053 |
6d2e3eb93bbd63b2ff2e5a5940b520e820248f07 | 1,211 | py | Python | 2015/src/Advent2015_12.py | davidxbuck/advent2018 | eed5424a8008b9c0829f5872ad6cd469ce9f70b9 | [
"MIT"
] | 1 | 2021-12-11T02:19:28.000Z | 2021-12-11T02:19:28.000Z | 2015/src/Advent2015_12.py | davidxbuck/advent2018 | eed5424a8008b9c0829f5872ad6cd469ce9f70b9 | [
"MIT"
] | null | null | null | 2015/src/Advent2015_12.py | davidxbuck/advent2018 | eed5424a8008b9c0829f5872ad6cd469ce9f70b9 | [
"MIT"
] | 1 | 2020-12-08T04:31:46.000Z | 2020-12-08T04:31:46.000Z | # Advent of Code 2015
#
# From https://adventofcode.com/2015/day/12
import json
import re
filename = ''
data = [re.findall(r'(-?\d+)', row.strip()) for row in open(f'../inputs/Advent2015_12{filename}.json', 'r')]
print(f"AoC 2015 Day 12, Part 1 answer is {sum(int(x[0]) for x in data if x)}")
with open(f'../inputs/A... | 29.536585 | 108 | 0.572254 |
6d2ecd14060115d1515992dd57554555f9359bcf | 1,381 | py | Python | Code/problems/xomo/xomo.py | rahlk/Experimental-Algorithms | d04a2d3ec5a4c54ff3ebff5cf003b93d2a983061 | [
"MIT"
] | null | null | null | Code/problems/xomo/xomo.py | rahlk/Experimental-Algorithms | d04a2d3ec5a4c54ff3ebff5cf003b93d2a983061 | [
"MIT"
] | 9 | 2015-09-14T21:07:06.000Z | 2015-12-08T01:38:08.000Z | Code/problems/xomo/xomo.py | rahlk/Experimental-Algorithms | d04a2d3ec5a4c54ff3ebff5cf003b93d2a983061 | [
"MIT"
] | null | null | null | from __future__ import print_function, division
import sys, os
sys.path.append(os.path.abspath("."))
from problems.problem import *
from cocomo import Cocomo
__author__ = 'panzer'
| 28.183673 | 95 | 0.597393 |
6d30715f18b7f5f1c423d6d7d8c6bbe32705a416 | 2,847 | py | Python | laser_align.py | larry12193/triangulation_scanner | 5cf81e230886d789527d5112c53f43019c7d6059 | [
"BSD-2-Clause"
] | 6 | 2020-04-07T10:41:42.000Z | 2020-12-12T18:05:22.000Z | laser_align.py | larry12193/triangulation_scanner | 5cf81e230886d789527d5112c53f43019c7d6059 | [
"BSD-2-Clause"
] | 1 | 2021-05-11T08:15:21.000Z | 2021-05-11T08:15:21.000Z | laser_align.py | larry12193/triangulation_scanner | 5cf81e230886d789527d5112c53f43019c7d6059 | [
"BSD-2-Clause"
] | 3 | 2020-03-23T07:51:49.000Z | 2020-12-10T09:25:07.000Z | #!/usr/bin/env python
import sys
import time
import random
import pigpio
import cv2
import imutils
import numpy as np
import math
if __name__=='__main__':
la = laser_align()
la.run()
| 28.188119 | 125 | 0.566561 |
6d31e720a0395d6ea7884f350148553c622f24df | 2,066 | py | Python | google/ads/google_ads/v0/proto/services/keyword_view_service_pb2_grpc.py | jwygoda/google-ads-python | 863892b533240cb45269d9c2cceec47e2c5a8b68 | [
"Apache-2.0"
] | null | null | null | google/ads/google_ads/v0/proto/services/keyword_view_service_pb2_grpc.py | jwygoda/google-ads-python | 863892b533240cb45269d9c2cceec47e2c5a8b68 | [
"Apache-2.0"
] | null | null | null | google/ads/google_ads/v0/proto/services/keyword_view_service_pb2_grpc.py | jwygoda/google-ads-python | 863892b533240cb45269d9c2cceec47e2c5a8b68 | [
"Apache-2.0"
] | null | null | null | # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
import grpc
from google.ads.google_ads.v0.proto.resources import keyword_view_pb2 as google_dot_ads_dot_googleads__v0_dot_proto_dot_resources_dot_keyword__view__pb2
from google.ads.google_ads.v0.proto.services import keyword_view_service_pb2 as goog... | 43.041667 | 167 | 0.810745 |
6d33f0adfd51d3772fb0f2c840325f3f15714598 | 517 | py | Python | web/backend/service/security.py | Vikort/neo4j-platform | 03e838673db98e2595293c9052dec02cbd630826 | [
"MIT"
] | null | null | null | web/backend/service/security.py | Vikort/neo4j-platform | 03e838673db98e2595293c9052dec02cbd630826 | [
"MIT"
] | 4 | 2021-10-11T18:26:28.000Z | 2021-11-02T11:43:06.000Z | web/backend/service/security.py | Vikort/neo4j-platform | 03e838673db98e2595293c9052dec02cbd630826 | [
"MIT"
] | 2 | 2021-10-10T20:29:08.000Z | 2021-10-12T23:39:23.000Z | from typing import Optional
from werkzeug.security import check_password_hash
from .models.user import User
| 23.5 | 68 | 0.750484 |
6d342f939fd9a4230e78c9eb288c6fea2595e21d | 7,926 | py | Python | Practicas/Practica 3/FuncionesRRD.py | NacxitCotuha/ASR-2022-4CM13 | 99ea48cdecd631453e237beb077b8a37e1979a5c | [
"MIT"
] | null | null | null | Practicas/Practica 3/FuncionesRRD.py | NacxitCotuha/ASR-2022-4CM13 | 99ea48cdecd631453e237beb077b8a37e1979a5c | [
"MIT"
] | null | null | null | Practicas/Practica 3/FuncionesRRD.py | NacxitCotuha/ASR-2022-4CM13 | 99ea48cdecd631453e237beb077b8a37e1979a5c | [
"MIT"
] | null | null | null | import os
import time
# RRD Librerias
import rrdtool
from pysnmp.hlapi import *
# Extras Librerias
from FuncionesExtras import *
| 37.386792 | 106 | 0.602574 |
6d374b34660addae6755625188158494a9832526 | 182 | py | Python | scripts/python/do_nothing.py | catforward/batch-launcher | 35fe0c67ba30f34bba781a5e9efeece3d34bf505 | [
"MIT"
] | null | null | null | scripts/python/do_nothing.py | catforward/batch-launcher | 35fe0c67ba30f34bba781a5e9efeece3d34bf505 | [
"MIT"
] | null | null | null | scripts/python/do_nothing.py | catforward/batch-launcher | 35fe0c67ba30f34bba781a5e9efeece3d34bf505 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os, sys
print("my id is %s. wrote by %s." % \
(sys.argv[1], os.getenv("PROC_TYPE", default = "unknown")))
sys.exit(0) | 20.222222 | 60 | 0.571429 |
6d377b9f0e95cc7da3ba86cd55faed22a2297117 | 891 | py | Python | setup.py | spapas/django-git | a62215d315263bce5d5d0afcfa14152601f76901 | [
"MIT"
] | 1 | 2019-03-15T10:32:21.000Z | 2019-03-15T10:32:21.000Z | setup.py | spapas/django-git | a62215d315263bce5d5d0afcfa14152601f76901 | [
"MIT"
] | null | null | null | setup.py | spapas/django-git | a62215d315263bce5d5d0afcfa14152601f76901 | [
"MIT"
] | 1 | 2016-03-25T03:57:49.000Z | 2016-03-25T03:57:49.000Z | #!/usr/bin/env python
from setuptools import setup, find_packages
setup(
name='django-git',
version='0.1.0',
description='Get git information for your django repository',
author='Serafeim Papastefanos',
author_email='spapas@gmail.com',
license='MIT',
url='https://github.com/spapas/django-g... | 29.7 | 69 | 0.62514 |
6d38cd4a3589344b7d244c1e47bd1f875465bb17 | 7,883 | py | Python | py/legacyanalysis/cosmos-6x.py | manera/legacypipe | 64dfe164fe1def50f5ad53784edd9a63321b0d45 | [
"BSD-3-Clause"
] | 32 | 2015-08-25T00:25:23.000Z | 2022-03-04T06:35:54.000Z | py/legacyanalysis/cosmos-6x.py | manera/legacypipe | 64dfe164fe1def50f5ad53784edd9a63321b0d45 | [
"BSD-3-Clause"
] | 644 | 2015-07-08T16:26:28.000Z | 2022-03-30T19:09:10.000Z | py/legacyanalysis/cosmos-6x.py | manera/legacypipe | 64dfe164fe1def50f5ad53784edd9a63321b0d45 | [
"BSD-3-Clause"
] | 22 | 2015-08-24T18:27:36.000Z | 2021-12-04T03:10:42.000Z | from __future__ import print_function
from astrometry.util.fits import *
import pylab as plt
import numpy as np
from glob import glob
from astrometry.util.plotutils import *
from astrometry.libkd.spherematch import *
from astrometry.util.resample import *
from astrometry.util.util import *
ps = PlotSequence('cosmos')
... | 33.832618 | 86 | 0.635672 |
6d395494c821bd0b349fbd6c23a637634a0b0583 | 279 | py | Python | examples/usage/expressionsB.py | rmorshea/viewdom | 24c528642e9ef0179999936b2e6f3b8a9d770df8 | [
"MIT"
] | null | null | null | examples/usage/expressionsB.py | rmorshea/viewdom | 24c528642e9ef0179999936b2e6f3b8a9d770df8 | [
"MIT"
] | null | null | null | examples/usage/expressionsB.py | rmorshea/viewdom | 24c528642e9ef0179999936b2e6f3b8a9d770df8 | [
"MIT"
] | null | null | null | from viewdom import html, render
name = 'viewdom'
result = render(html('<div>Hello {make_bigly(name)}</div>'))
# '<div>Hello BIGLY: VIEWDOM</div>'
# end-before
expected = '<div>Hello BIGLY: VIEWDOM</div>'
| 21.461538 | 60 | 0.666667 |
6d3b00355ab894a2faa97ab1e971ed05c56826d8 | 7,463 | py | Python | legacy/models/resnet/tensorflow2/train_tf2_resnet.py | kevinyang8/deep-learning-models | 271ddfa106c99bc131023e8e159c1b8cc903fe0e | [
"Apache-2.0",
"MIT"
] | 129 | 2018-07-21T11:51:16.000Z | 2022-03-09T07:15:09.000Z | legacy/models/resnet/tensorflow2/train_tf2_resnet.py | kevinyang8/deep-learning-models | 271ddfa106c99bc131023e8e159c1b8cc903fe0e | [
"Apache-2.0",
"MIT"
] | 20 | 2018-09-13T23:19:56.000Z | 2021-05-22T02:12:53.000Z | legacy/models/resnet/tensorflow2/train_tf2_resnet.py | kevinyang8/deep-learning-models | 271ddfa106c99bc131023e8e159c1b8cc903fe0e | [
"Apache-2.0",
"MIT"
] | 74 | 2018-07-23T12:14:01.000Z | 2022-01-21T05:17:13.000Z | # Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of this
# software and associated documentation files (the "Software"), to deal in the Software
# without restriction, including without limitation the rights to use... | 46.354037 | 119 | 0.680825 |
6d3b123c46b2e5744010847c1dd9cee530962ce8 | 930 | py | Python | luna_ml/api/model_yaml.py | luna-ml/luna-ml | ff44eefe52ae85334ee51a51cbc488000ab73b1c | [
"Apache-2.0"
] | 5 | 2021-04-12T02:51:50.000Z | 2021-11-10T11:27:08.000Z | luna_ml/api/model_yaml.py | luna-ml/luna-ml | ff44eefe52ae85334ee51a51cbc488000ab73b1c | [
"Apache-2.0"
] | null | null | null | luna_ml/api/model_yaml.py | luna-ml/luna-ml | ff44eefe52ae85334ee51a51cbc488000ab73b1c | [
"Apache-2.0"
] | 1 | 2021-11-10T11:27:12.000Z | 2021-11-10T11:27:12.000Z | import yaml
| 21.627907 | 95 | 0.480645 |
6d3b196b1b9ee7730b26944c0ced83c8485223e9 | 790 | py | Python | torchpq/CustomModule.py | francisr/TorchPQ | cb851053ac01a64b9fa374c9985c354f6249a628 | [
"MIT"
] | null | null | null | torchpq/CustomModule.py | francisr/TorchPQ | cb851053ac01a64b9fa374c9985c354f6249a628 | [
"MIT"
] | null | null | null | torchpq/CustomModule.py | francisr/TorchPQ | cb851053ac01a64b9fa374c9985c354f6249a628 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn | 34.347826 | 97 | 0.589873 |
6d3b68e07d86851fe5e0a884e7544b6d16b3b476 | 206 | py | Python | faketests/slowtests/test_3.py | Djailla/pytest-sugar | 6ac4a1fa18a51e67c7a759bc11a9264cb78619e4 | [
"BSD-3-Clause"
] | 418 | 2019-08-30T00:41:51.000Z | 2022-03-21T09:31:54.000Z | faketests/slowtests/test_3.py | Djailla/pytest-sugar | 6ac4a1fa18a51e67c7a759bc11a9264cb78619e4 | [
"BSD-3-Clause"
] | 62 | 2019-08-27T16:50:36.000Z | 2022-03-11T07:03:32.000Z | faketests/slowtests/test_3.py | Djailla/pytest-sugar | 6ac4a1fa18a51e67c7a759bc11a9264cb78619e4 | [
"BSD-3-Clause"
] | 25 | 2019-11-27T15:58:16.000Z | 2022-03-21T09:31:56.000Z | import time
import pytest
| 22.888889 | 61 | 0.68932 |
6d3b89d7e2be00a2238a2e44ed78c4b9050bf029 | 2,450 | py | Python | ex09-pg/ex09-pg.py | s0tt/rl-course | e2094b3d4d6f4401c5eaee1f283dae9ddf516716 | [
"MIT"
] | null | null | null | ex09-pg/ex09-pg.py | s0tt/rl-course | e2094b3d4d6f4401c5eaee1f283dae9ddf516716 | [
"MIT"
] | null | null | null | ex09-pg/ex09-pg.py | s0tt/rl-course | e2094b3d4d6f4401c5eaee1f283dae9ddf516716 | [
"MIT"
] | null | null | null | import gym
import numpy as np
import matplotlib.pyplot as plt
def policy(state, theta):
""" TODO: return probabilities for actions under softmax action selection """
h = state @ theta
return np.exp(h)/np.sum(np.exp(h))
def generate_episode(env, theta, display=False):
""" enerates one episode and ret... | 29.518072 | 128 | 0.59551 |
6d3dea70d27480b04ab234ec6603df5eec45e0a3 | 1,425 | py | Python | Bite 105. Slice and dice.py | Guznin/PyBites | 4a683a1d3aa6e742d28e96e8dfe5de7dd1f61e4a | [
"MIT"
] | 1 | 2019-07-16T15:51:19.000Z | 2019-07-16T15:51:19.000Z | Bite 105. Slice and dice.py | Guznin/PyBites | 4a683a1d3aa6e742d28e96e8dfe5de7dd1f61e4a | [
"MIT"
] | null | null | null | Bite 105. Slice and dice.py | Guznin/PyBites | 4a683a1d3aa6e742d28e96e8dfe5de7dd1f61e4a | [
"MIT"
] | 2 | 2019-10-02T07:30:17.000Z | 2020-04-07T20:38:58.000Z |
"""
Take the block of text provided and strip off the whitespace at both ends. Split the text by newline (\n) using split.
Loop through the lines and if the first character of each (stripped) line is lowercase, split the line into words and add the last word to the (given) results list, stripping the trailing dot (.)... | 39.583333 | 246 | 0.687719 |
6d3ec069650a07875b8e93b882c63f60bc92401c | 1,809 | py | Python | main/migrations/0009_auto_20180512_1403.py | jfilter/MDMA | 90feb5cf351787b1590a556764c4528daabfe051 | [
"MIT"
] | 4 | 2018-06-14T15:33:37.000Z | 2019-02-25T09:23:45.000Z | main/migrations/0009_auto_20180512_1403.py | jfilter/MDMA | 90feb5cf351787b1590a556764c4528daabfe051 | [
"MIT"
] | 1 | 2020-02-11T22:26:49.000Z | 2020-02-11T22:26:49.000Z | main/migrations/0009_auto_20180512_1403.py | jfilter/MDMA | 90feb5cf351787b1590a556764c4528daabfe051 | [
"MIT"
] | 1 | 2019-02-25T09:23:48.000Z | 2019-02-25T09:23:48.000Z | # Generated by Django 2.0.5 on 2018-05-12 14:03
import django.core.validators
from django.db import migrations, models
import main.models
| 34.132075 | 164 | 0.610835 |
6d4062683b884798ed07b82edb1e9d86a003556b | 21,319 | py | Python | recipes/Python/577462_A_Buttonbar_program_with_color_/recipe-577462.py | tdiprima/code | 61a74f5f93da087d27c70b2efe779ac6bd2a3b4f | [
"MIT"
] | 2,023 | 2017-07-29T09:34:46.000Z | 2022-03-24T08:00:45.000Z | recipes/Python/577462_A_Buttonbar_program_with_color_/recipe-577462.py | unhacker/code | 73b09edc1b9850c557a79296655f140ce5e853db | [
"MIT"
] | 32 | 2017-09-02T17:20:08.000Z | 2022-02-11T17:49:37.000Z | recipes/Python/577462_A_Buttonbar_program_with_color_/recipe-577462.py | unhacker/code | 73b09edc1b9850c557a79296655f140ce5e853db | [
"MIT"
] | 780 | 2017-07-28T19:23:28.000Z | 2022-03-25T20:39:41.000Z | '''
;#template` {-path} {-menu} {-s1} {-s2} {-s3}
;#option`-path`Path to controlling file`F`c:\source\python\projects\menu\buttonbar.py`
;#option`-menu`Path to menu file`F`c:\source\python\projects\menu\test.ini`
;#option`-s1`First section`X`info`
;#option`-s2`Second section`X`help`
;#option`-s3`Third section`X`data`
;... | 39.045788 | 140 | 0.506262 |
6d4066a1425f074c566a49541275b469d942ae98 | 2,125 | py | Python | main.py | kaankarakoc42/neutron-tk | 0ce61ef378e0b0f1476eb745f4c57326df53cbdf | [
"MIT"
] | null | null | null | main.py | kaankarakoc42/neutron-tk | 0ce61ef378e0b0f1476eb745f4c57326df53cbdf | [
"MIT"
] | null | null | null | main.py | kaankarakoc42/neutron-tk | 0ce61ef378e0b0f1476eb745f4c57326df53cbdf | [
"MIT"
] | null | null | null | from Neutron import NeutronApp,tk,Rotate,Translate,Painter
from PIL import Image,ImageTk
color="#1c1d22"
maincolor="#1c1c1d"
imagepath="image.png"
image = Image.open(imagepath)
app=NeutronApp(800,400)
if __name__ == "__main__":
app.run()
| 42.5 | 135 | 0.719059 |
6d40792fa1fedb6ee87c31e6fb93bfa09365633c | 13,551 | py | Python | ghostwriter/ghtest/test_postarticle.py | arthurmco/ghostwriter | f6040846c28a08bf1b39de19bd2470772eb89080 | [
"MIT"
] | null | null | null | ghostwriter/ghtest/test_postarticle.py | arthurmco/ghostwriter | f6040846c28a08bf1b39de19bd2470772eb89080 | [
"MIT"
] | 4 | 2017-07-23T02:12:39.000Z | 2017-10-01T03:55:02.000Z | ghostwriter/ghtest/test_postarticle.py | arthurmco/ghostwriter | f6040846c28a08bf1b39de19bd2470772eb89080 | [
"MIT"
] | null | null | null | import unittest
from ghostwriter import app, mm
#
# Post basic test fixture(?)
# Copyright (C) 2017 Arthur M
#
#
# Post composition
#
# Post search tests
| 36.23262 | 278 | 0.590436 |
6d42d200de04bf75125a5f7cac6051062bfeb40b | 1,414 | py | Python | getting_started.py | amit-timalsina/Generative-Python-Transformer | 9353cccb084f7c01be5355eedf69094f91d30433 | [
"MIT"
] | null | null | null | getting_started.py | amit-timalsina/Generative-Python-Transformer | 9353cccb084f7c01be5355eedf69094f91d30433 | [
"MIT"
] | null | null | null | getting_started.py | amit-timalsina/Generative-Python-Transformer | 9353cccb084f7c01be5355eedf69094f91d30433 | [
"MIT"
] | null | null | null | <<<<<<< HEAD
from curtsies.fmtfuncs import cyan, bold
=======
>>>>>>> 9a201987d7a6490e552e7d03d8281330895ef733
from github import Github
import time
from datetime import datetime
import os
ACCESS_TOKEN = open('token.txt', 'r').read()
g = Github(ACCESS_TOKEN)
print(g.get_user())
<<<<<<< HEAD
end_time = time.time() - ... | 30.73913 | 103 | 0.687412 |
6d440d089fb7b9e358b4bdec26af74927f52dd64 | 1,470 | py | Python | docs/meta/update_doc.py | ZhihongShao/cotk | 252ebc20c9ce175327e3721a9ddbdbb0bffd2744 | [
"Apache-2.0"
] | null | null | null | docs/meta/update_doc.py | ZhihongShao/cotk | 252ebc20c9ce175327e3721a9ddbdbb0bffd2744 | [
"Apache-2.0"
] | null | null | null | docs/meta/update_doc.py | ZhihongShao/cotk | 252ebc20c9ce175327e3721a9ddbdbb0bffd2744 | [
"Apache-2.0"
] | null | null | null | import os
import path
if __name__ == "__main__":
for filename in os.listdir("./"):
if not filename.endswith(".md") and not filename.endswith(".rst"):
continue
print(filename)
file = open(filename, "r", encoding='utf-8').read()
locations = get_location(file)
fo... | 27.222222 | 80 | 0.505442 |
6d451b82a61be9c8cca43334325abb31306bcadf | 760 | py | Python | sessions/session 4/queue_publish_read.py | IceCrew-Source/BachelorDIM-Lectures-Algorithms-2020 | 95d2761883feebada25f62c20bdfe405a1353f61 | [
"MIT"
] | null | null | null | sessions/session 4/queue_publish_read.py | IceCrew-Source/BachelorDIM-Lectures-Algorithms-2020 | 95d2761883feebada25f62c20bdfe405a1353f61 | [
"MIT"
] | null | null | null | sessions/session 4/queue_publish_read.py | IceCrew-Source/BachelorDIM-Lectures-Algorithms-2020 | 95d2761883feebada25f62c20bdfe405a1353f61 | [
"MIT"
] | null | null | null | import argparse
import os
import pika
from decouple import config
import importlib
simple_queue_read = importlib.import_module('simple_queue_read')
simple_queue_publish = importlib.import_module('simple_queue_publish')
URL = config('URL')
url = os.environ.get('CLOUDAMQP_URL', URL)
params = pika.URLParameters(url)
pa... | 27.142857 | 70 | 0.794737 |
6d47aacf1b36329cbd49360860e849074b4c7ea2 | 2,341 | py | Python | src/plex_posters/__dev/__init__.py | dtomlinson91/plex_posters | a79b95eb285f96cea26b863e6dc6d33af3816c9a | [
"MIT"
] | null | null | null | src/plex_posters/__dev/__init__.py | dtomlinson91/plex_posters | a79b95eb285f96cea26b863e6dc6d33af3816c9a | [
"MIT"
] | 1 | 2021-06-02T00:43:37.000Z | 2021-06-02T00:43:37.000Z | src/plex_posters/__dev/__init__.py | dtomlinson91/plex_posters | a79b95eb285f96cea26b863e6dc6d33af3816c9a | [
"MIT"
] | null | null | null | from __future__ import annotations
from .__version__ import __version__ # noqa
from .lib import export
from typing import Type, TypeVar, List, Dict
import praw # type: ignore
import requests
__all__ = [] # type: List
__header__ = 'plex_posters'
# __section__ = 'module'
T_movie_poster_porn_scraper = TypeVar(
'... | 24.904255 | 74 | 0.574968 |
6d4b0371bbc405789746fc2f894683115042f998 | 1,186 | py | Python | translate.py | KTH1234/deep_summ | f242733f55e0b42c4fe3ac469142f9586102599d | [
"MIT"
] | null | null | null | translate.py | KTH1234/deep_summ | f242733f55e0b42c4fe3ac469142f9586102599d | [
"MIT"
] | null | null | null | translate.py | KTH1234/deep_summ | f242733f55e0b42c4fe3ac469142f9586102599d | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from __future__ import division, unicode_literals
import argparse
from onmt.translate.Translator import make_translator
import onmt.io
import onmt.translate
import onmt
import onmt.ModelConstructor
import onmt.modules
import onmt.opts
import timeit
if __name__ == "__main__":
parser = argpa... | 27.581395 | 112 | 0.724283 |
6d4b6d9bc6438881c86aba43447624f736ef090a | 3,447 | py | Python | test/aftershock_unittest.py | uofuseismo/shakemap-aqms | 228dc31fa987c71e48c70896946c54677497ce4a | [
"CC0-1.0"
] | null | null | null | test/aftershock_unittest.py | uofuseismo/shakemap-aqms | 228dc31fa987c71e48c70896946c54677497ce4a | [
"CC0-1.0"
] | 3 | 2021-02-04T00:58:05.000Z | 2021-02-08T21:54:43.000Z | test/aftershock_unittest.py | uofuseismo/shakemap-aqms | 228dc31fa987c71e48c70896946c54677497ce4a | [
"CC0-1.0"
] | 2 | 2021-01-27T15:20:38.000Z | 2021-01-29T22:23:03.000Z | #!/usr/bin/env python
"""aftershock_unittest runs unit tests on the aftershock script in shakemap-aqms"""
import os
import unittest
import time
import logging
import sqlite3
from aftershock import aftershockDB
from shakemap.utils.config import get_config_paths
from shakemap_aqms.util import (get_aqms_config,
... | 43.632911 | 130 | 0.668697 |
6d4e191efc3419a7a996c235bf6de8f939ba944e | 492 | py | Python | app/measurement/migrations/0018_auto_20201013_2006.py | pnsn/squac_api | 7b1741cd32dbc32972f75ac53958468fdf7d04ee | [
"MIT"
] | 6 | 2019-11-07T09:32:43.000Z | 2021-09-02T22:37:14.000Z | app/measurement/migrations/0018_auto_20201013_2006.py | pnsn/squacapi | e330a925aff38937656983841e495ba3824c11e1 | [
"MIT"
] | 196 | 2019-10-04T17:03:36.000Z | 2022-03-31T17:54:59.000Z | app/measurement/migrations/0018_auto_20201013_2006.py | pnsn/squac_api | 7b1741cd32dbc32972f75ac53958468fdf7d04ee | [
"MIT"
] | null | null | null | # Generated by Django 2.2.16 on 2020-10-13 20:06
from django.db import migrations
| 22.363636 | 51 | 0.613821 |
6d4e1c612f0259f7f3638caf74ccb8db92fe0856 | 7,093 | py | Python | src/lava/lib/dl/slayer/neuron/norm.py | timcheck/lava-dl | e680722071129fde952ea0d744984aa2a038797a | [
"BSD-3-Clause"
] | 37 | 2021-09-30T16:47:15.000Z | 2022-03-07T22:29:21.000Z | src/lava/lib/dl/slayer/neuron/norm.py | timcheck/lava-dl | e680722071129fde952ea0d744984aa2a038797a | [
"BSD-3-Clause"
] | 36 | 2021-11-04T16:54:55.000Z | 2022-03-31T02:26:29.000Z | src/lava/lib/dl/slayer/neuron/norm.py | timcheck/lava-dl | e680722071129fde952ea0d744984aa2a038797a | [
"BSD-3-Clause"
] | 20 | 2021-10-29T22:55:58.000Z | 2022-03-22T17:27:16.000Z | # Copyright (C) 2022 Intel Corporation
# SPDX-License-Identifier: BSD-3-Clause
"""Neuron normalization methods."""
import torch
| 30.705628 | 79 | 0.565064 |
6d4e696d020c5cc19c2a78065f0bfe86189cfbb6 | 476 | py | Python | src/streaming-programs/01-wordsplit_map.py | gofore/aws-emr | 31c70abc92aa84cfa93841be59f546809310fe6c | [
"MIT"
] | 2 | 2017-02-12T07:14:37.000Z | 2019-08-12T19:13:40.000Z | src/streaming-programs/01-wordsplit_map.py | gofore/aws-emr | 31c70abc92aa84cfa93841be59f546809310fe6c | [
"MIT"
] | 1 | 2021-05-07T05:47:27.000Z | 2021-05-07T05:47:27.000Z | src/streaming-programs/01-wordsplit_map.py | gofore/aws-emr | 31c70abc92aa84cfa93841be59f546809310fe6c | [
"MIT"
] | 7 | 2015-02-23T18:57:52.000Z | 2019-11-06T09:31:24.000Z | #!/usr/bin/python
import sys
import re
# Test application to check whether EMR pipeline and reading the data works
# This code is from the EMR example:
# https://s3.amazonaws.com/elasticmapreduce/samples/wordcount/wordSplitter.py
if __name__ == "__main__":
main(sys.argv)
| 28 | 77 | 0.67437 |
6d4ed1f29076811117c1ee8af17b2c9fb71cec92 | 2,596 | py | Python | domonic/constants/keyboard.py | Jordan-Cottle/domonic | 05d70af0d1564d3ba80c860bb5f5bfe089293b18 | [
"MIT"
] | 1 | 2022-03-09T03:39:04.000Z | 2022-03-09T03:39:04.000Z | domonic/constants/keyboard.py | Jordan-Cottle/domonic | 05d70af0d1564d3ba80c860bb5f5bfe089293b18 | [
"MIT"
] | null | null | null | domonic/constants/keyboard.py | Jordan-Cottle/domonic | 05d70af0d1564d3ba80c860bb5f5bfe089293b18 | [
"MIT"
] | null | null | null | """
domonic.constants.keyboard
====================================
"""
| 20.768 | 54 | 0.373267 |
6d5062c8e3235dd5b1d309a37505fc11bcdff8b7 | 370 | py | Python | setup.py | jeffFranklin/linkbot | 8696061bb03d80ff70a5436a967be02df0e7a938 | [
"Apache-2.0"
] | 1 | 2018-10-11T16:48:19.000Z | 2018-10-11T16:48:19.000Z | setup.py | jeffFranklin/linkbot | 8696061bb03d80ff70a5436a967be02df0e7a938 | [
"Apache-2.0"
] | null | null | null | setup.py | jeffFranklin/linkbot | 8696061bb03d80ff70a5436a967be02df0e7a938 | [
"Apache-2.0"
] | 1 | 2018-03-30T16:32:30.000Z | 2018-03-30T16:32:30.000Z | from setuptools import setup
install_requires = ['beautifulsoup4',
'simplejson',
'slacker',
'jira',
'requests',
'websocket-client']
setup(name='linkbot',
install_requires=install_requires,
description='slac... | 28.461538 | 72 | 0.543243 |
6d510036057cee60385a3f7350a0e31d6ad3aa8a | 589 | py | Python | tests/__init__.py | hmpf/easydmp | 650b241fedd839635335c1044f2d695f9c076e4c | [
"MIT"
] | 5 | 2018-09-25T15:48:39.000Z | 2020-06-04T11:56:36.000Z | tests/__init__.py | hmpf/easydmp | 650b241fedd839635335c1044f2d695f9c076e4c | [
"MIT"
] | 233 | 2018-01-10T17:28:41.000Z | 2022-03-30T09:38:03.000Z | tests/__init__.py | hmpf/easydmp | 650b241fedd839635335c1044f2d695f9c076e4c | [
"MIT"
] | 2 | 2019-02-07T10:34:09.000Z | 2019-03-12T07:25:09.000Z | import django
# Now this is ugly.
# The django.db.backend.features that exist changes per version and per db :/
if django.VERSION[:2] == (2, 2):
has_sufficient_json_support = ('has_jsonb_agg',)
if django.VERSION[:2] == (3, 2):
# This version of EasyDMP is not using Django's native JSONField
# implementatio... | 42.071429 | 77 | 0.724958 |
6d5163ff7afac2854217dc08a8bc7b2702ea0ae5 | 1,550 | py | Python | query_research/bound_variables.py | sjuenger/WikiMETA | 13ed293b4bda8ff0fc10b532907ca35c24a12616 | [
"MIT"
] | null | null | null | query_research/bound_variables.py | sjuenger/WikiMETA | 13ed293b4bda8ff0fc10b532907ca35c24a12616 | [
"MIT"
] | null | null | null | query_research/bound_variables.py | sjuenger/WikiMETA | 13ed293b4bda8ff0fc10b532907ca35c24a12616 | [
"MIT"
] | null | null | null | import glob
import json
# to hand over the bound variables of a quuery
# e.g. ["var4", "<http://www.w3.org/ns/prov#wasDerivedFrom>"]
# for :
#SELECT ?var1 ?var2Label ?var3
#WHERE {
# BIND ( <http://www.w3.org/ns/prov#wasDerivedFrom> AS ?var4 ).
# ?var5 ?var6 ?var4 .
# ?var5 <http://www.w3.org/1999/02/22-rdf... | 36.046512 | 107 | 0.58129 |
6d520b7ec88266cce313daeeffbe58a78a8cd7b3 | 337 | py | Python | metaci/build/migrations/0030_build_priority.py | sfdc-qbranch/MetaCI | 78ac0d2bccd2db381998321ebd71029dd5d9ab39 | [
"BSD-3-Clause"
] | 48 | 2018-10-24T14:52:06.000Z | 2022-03-25T21:14:50.000Z | metaci/build/migrations/0030_build_priority.py | sfdc-qbranch/MetaCI | 78ac0d2bccd2db381998321ebd71029dd5d9ab39 | [
"BSD-3-Clause"
] | 2,034 | 2018-10-31T20:59:16.000Z | 2022-03-22T21:38:03.000Z | metaci/build/migrations/0030_build_priority.py | sfdc-qbranch/MetaCI | 78ac0d2bccd2db381998321ebd71029dd5d9ab39 | [
"BSD-3-Clause"
] | 27 | 2018-12-24T18:16:23.000Z | 2021-12-15T17:57:27.000Z | # Generated by Django 2.2.5 on 2019-10-01 15:52
from django.db import migrations, models
| 22.466667 | 85 | 0.661721 |
6d537aafddd30273e1241cbf12d001f8b117f913 | 3,392 | py | Python | work/MTRIX/submit_to_queue3.py | youdar/work | d5f32015e7be1d58ede255eeadbd1d12acb3f270 | [
"MIT"
] | null | null | null | work/MTRIX/submit_to_queue3.py | youdar/work | d5f32015e7be1d58ede255eeadbd1d12acb3f270 | [
"MIT"
] | null | null | null | work/MTRIX/submit_to_queue3.py | youdar/work | d5f32015e7be1d58ede255eeadbd1d12acb3f270 | [
"MIT"
] | null | null | null | from __future__ import division
from libtbx.command_line import easy_qsub
from misc_scripts import helpers
from misc_scripts.r_factor_calc import *
from iotbx import pdb
import cPickle as pickle
import os
'''
Submit to queue all files with good MTRIX records that also havestracture factor files
'''
def get_file_name... | 40.86747 | 121 | 0.721403 |
6d53cf11b98a0029c282fbe3850d3f6d77b73010 | 3,824 | py | Python | server/controllers/invites.py | omerk2511/dropbox | 8d7ff4b74b412d2fc10a3450b7648f973d5f961b | [
"MIT"
] | 4 | 2020-05-14T12:03:07.000Z | 2020-12-22T14:25:54.000Z | server/controllers/invites.py | omerk2511/dropbox | 8d7ff4b74b412d2fc10a3450b7648f973d5f961b | [
"MIT"
] | null | null | null | server/controllers/invites.py | omerk2511/dropbox | 8d7ff4b74b412d2fc10a3450b7648f973d5f961b | [
"MIT"
] | null | null | null | import functools
import sqlite3 as lite
from common import Codes, Message
from controller import controller
from validators import validator, existing_group
from auth import authenticated, group_owner
from ..models import Groups, Users, UsersGroups, Invites
INVITE_PAYLOAD = [
('group', [int]),
('username', [s... | 24.356688 | 89 | 0.606433 |
6d53fe4563e41a0f241cdbdebf80e81f575c14ec | 1,130 | py | Python | pandas/tests/indexes/timedeltas/test_partial_slicing.py | k-fillmore/pandas | 67d4cae17bec45e84b9cf51bcf4fb5bbe293b26f | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 2 | 2022-02-02T02:05:28.000Z | 2022-02-02T02:09:37.000Z | pandas/tests/indexes/timedeltas/test_partial_slicing.py | k-fillmore/pandas | 67d4cae17bec45e84b9cf51bcf4fb5bbe293b26f | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 2 | 2021-02-16T06:43:48.000Z | 2021-03-19T00:07:02.000Z | pandas/tests/indexes/timedeltas/test_partial_slicing.py | k-fillmore/pandas | 67d4cae17bec45e84b9cf51bcf4fb5bbe293b26f | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 1 | 2020-10-28T03:32:40.000Z | 2020-10-28T03:32:40.000Z | import numpy as np
from pandas import Series, timedelta_range
import pandas._testing as tm
| 28.25 | 72 | 0.60354 |
6d540b98a72ab68cdb241761ec9a3d49ae2599e1 | 426 | py | Python | czsc/__init__.py | vercity/czsc | 7a372baa3a550b18ff319008ac3fcab0f3faa684 | [
"MIT"
] | 1 | 2022-02-22T06:31:40.000Z | 2022-02-22T06:31:40.000Z | czsc/__init__.py | vercity/czsc | 7a372baa3a550b18ff319008ac3fcab0f3faa684 | [
"MIT"
] | 1 | 2021-09-25T02:32:39.000Z | 2021-09-25T02:32:39.000Z | czsc/__init__.py | vercity/czsc | 7a372baa3a550b18ff319008ac3fcab0f3faa684 | [
"MIT"
] | null | null | null | # coding: utf-8
from .analyze import CZSC
from .traders.advanced import CzscAdvancedTrader
from .utils.ta import SMA, EMA, MACD, KDJ
from .objects import Freq, Operate, Direction, Signal, Factor, Event, RawBar, NewBar
from . import aphorism
__version__ = "0.8.17"
__author__ = "zengbin93"
__email__ = "zeng_bin8888@163... | 23.666667 | 84 | 0.758216 |
6d546d1dc2cae3ea649edcb8b4f5382cc4bc67ee | 334 | py | Python | restaurant/migrations/0004_remove_recipe_ingreiends.py | turgayh/Recipe-Share | 858eb3e0e21c11b62249fbc9490cd7bb1f244b9e | [
"MIT"
] | 1 | 2021-01-20T20:52:47.000Z | 2021-01-20T20:52:47.000Z | restaurant/migrations/0004_remove_recipe_ingreiends.py | turgayh/Recipe-Share | 858eb3e0e21c11b62249fbc9490cd7bb1f244b9e | [
"MIT"
] | null | null | null | restaurant/migrations/0004_remove_recipe_ingreiends.py | turgayh/Recipe-Share | 858eb3e0e21c11b62249fbc9490cd7bb1f244b9e | [
"MIT"
] | null | null | null | # Generated by Django 3.0.2 on 2020-01-25 19:30
from django.db import migrations
| 18.555556 | 49 | 0.598802 |
6d573bc453dd58a54c399a376e1f87e3d35c0f8e | 11,488 | py | Python | smirk/migrations/0001_initial.py | ahmsayat/CyberSeed | 1c9368eb3849ec3e0e02c600bdf813cedcaa88c7 | [
"MIT"
] | null | null | null | smirk/migrations/0001_initial.py | ahmsayat/CyberSeed | 1c9368eb3849ec3e0e02c600bdf813cedcaa88c7 | [
"MIT"
] | 5 | 2017-09-26T05:12:06.000Z | 2017-10-27T05:32:27.000Z | smirk/migrations/0001_initial.py | ahmsayat/CyberSeed | 1c9368eb3849ec3e0e02c600bdf813cedcaa88c7 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2017-10-08 01:12
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
| 56.591133 | 327 | 0.613945 |
6d574c23e31223710983173b31daded06d3575c8 | 1,176 | py | Python | hargreaves/session/__init__.py | dastra/hargreaves-sdk-python | 8099d775c6a70ac415690c0322fe1b964356f6ff | [
"MIT"
] | null | null | null | hargreaves/session/__init__.py | dastra/hargreaves-sdk-python | 8099d775c6a70ac415690c0322fe1b964356f6ff | [
"MIT"
] | null | null | null | hargreaves/session/__init__.py | dastra/hargreaves-sdk-python | 8099d775c6a70ac415690c0322fe1b964356f6ff | [
"MIT"
] | null | null | null | import logging
from requests_tracker.session import WebSessionFactory
from requests_tracker.storage import ICookieStorage
from ..config.models import ApiConfiguration
from ..utils.cookies import HLCookieHelper
from ..session.shared import LoggedInSession
logging.getLogger(__name__).addHandler(logging.NullHandler())
... | 30.153846 | 71 | 0.705782 |
6d5b5843a99ae892b0a5c5a29a23c571243bb918 | 76 | py | Python | todo/settings/develop.py | bzd111/todolist | 9fcbc12e115c3b43118367c90902a2268ef598ac | [
"MIT"
] | null | null | null | todo/settings/develop.py | bzd111/todolist | 9fcbc12e115c3b43118367c90902a2268ef598ac | [
"MIT"
] | 6 | 2020-06-06T00:58:31.000Z | 2022-02-10T09:05:44.000Z | todo/settings/develop.py | bzd111/todolist | 9fcbc12e115c3b43118367c90902a2268ef598ac | [
"MIT"
] | null | null | null | from .base import *
ALLOWED_HOSTS = ["localhost", "0.0.0.0", "127.0.0.1"]
| 15.2 | 53 | 0.605263 |
6d5b9db2ef3c280e75f116340f39ee60fd487560 | 1,035 | py | Python | api server/server/routes/front_routes.py | rabo452/flipbook | f892d568fd4acff84414098dfbad17867fc0fc7b | [
"MIT"
] | null | null | null | api server/server/routes/front_routes.py | rabo452/flipbook | f892d568fd4acff84414098dfbad17867fc0fc7b | [
"MIT"
] | null | null | null | api server/server/routes/front_routes.py | rabo452/flipbook | f892d568fd4acff84414098dfbad17867fc0fc7b | [
"MIT"
] | null | null | null | # routes for front-end part of project
from flask import url_for, render_template, request
from server import app
| 32.34375 | 110 | 0.675362 |
6d5cef5c79576f1d75365dd8f354f0ce37652ed8 | 2,670 | py | Python | osp/graphs/osp_graph.py | davidmcclure/open-syllabus-project | 078cfd4c5a257fbfb0901d43bfbc6350824eed4e | [
"Apache-2.0"
] | 220 | 2016-01-22T21:19:02.000Z | 2022-01-25T04:33:55.000Z | osp/graphs/osp_graph.py | davidmcclure/open-syllabus-project | 078cfd4c5a257fbfb0901d43bfbc6350824eed4e | [
"Apache-2.0"
] | 14 | 2016-01-23T14:34:39.000Z | 2016-09-19T19:58:37.000Z | osp/graphs/osp_graph.py | davidmcclure/open-syllabus-project | 078cfd4c5a257fbfb0901d43bfbc6350824eed4e | [
"Apache-2.0"
] | 14 | 2016-02-03T13:47:48.000Z | 2019-03-27T13:09:05.000Z |
import networkx as nx
import random
from osp.common.utils import query_bar
from osp.graphs.graph import Graph
from osp.citations.models import Text, Citation, Text_Index
from osp.corpus.models import Document
from itertools import combinations
from peewee import fn
from clint.textui import progress
| 23.421053 | 65 | 0.539326 |
6d5ea38576f25db53776c642414c54041033cdde | 7,525 | py | Python | Project/src/uff/ic/mell/sentimentembedding/modelos/modelo_transformer.py | MeLL-UFF/tuning_sentiment | cb8683be115f694e02c12f8e1a90529a08c7d1d6 | [
"MIT"
] | 2 | 2021-09-23T18:06:10.000Z | 2021-09-23T18:15:11.000Z | Project/src/uff/ic/mell/sentimentembedding/modelos/modelo_transformer.py | MeLL-UFF/tuning_sentiment | cb8683be115f694e02c12f8e1a90529a08c7d1d6 | [
"MIT"
] | null | null | null | Project/src/uff/ic/mell/sentimentembedding/modelos/modelo_transformer.py | MeLL-UFF/tuning_sentiment | cb8683be115f694e02c12f8e1a90529a08c7d1d6 | [
"MIT"
] | null | null | null | from uff.ic.mell.sentimentembedding.utils.data_converstion_utils import convert_tensor2array
from uff.ic.mell.sentimentembedding.modelos.modelo import Modelo
import pandas as pd
import numpy as np
import torch
from enum import Enum
from tokenizers import ByteLevelBPETokenizer
| 47.626582 | 154 | 0.612226 |
6d5f77bccd5162155079b37338363a35a130b2e2 | 901 | py | Python | service/src/service/edit_distance.py | xuqiongkai/ALTER | a9ec98c0ed576a68f14711eeff6f1c7d2d34c6f7 | [
"MIT"
] | 8 | 2019-09-18T01:14:07.000Z | 2022-02-05T03:43:24.000Z | service/src/service/edit_distance.py | xuqiongkai/ALTER | a9ec98c0ed576a68f14711eeff6f1c7d2d34c6f7 | [
"MIT"
] | 4 | 2019-11-15T03:09:52.000Z | 2022-03-24T15:01:55.000Z | service/src/service/edit_distance.py | xuqiongkai/ALTER | a9ec98c0ed576a68f14711eeff6f1c7d2d34c6f7 | [
"MIT"
] | 4 | 2019-09-17T22:17:30.000Z | 2022-02-05T03:43:28.000Z | import editdistance
| 26.5 | 100 | 0.521643 |
6d60650cd762f88755f54feccc523154dd54bfa9 | 485 | py | Python | tf_rl/test/utils_test/memory_save_test.py | Rowing0914/TF2_RL | c1b7f9b376cbecf01deb17f76f8e761035ed336a | [
"MIT"
] | 8 | 2020-01-13T03:29:50.000Z | 2021-11-19T00:59:42.000Z | tf_rl/test/utils_test/memory_save_test.py | Rowing0914/TF2_RL | c1b7f9b376cbecf01deb17f76f8e761035ed336a | [
"MIT"
] | 5 | 2020-11-13T17:40:40.000Z | 2022-03-12T00:11:33.000Z | tf_rl/test/utils_test/memory_save_test.py | Rowing0914/TF2_RL | c1b7f9b376cbecf01deb17f76f8e761035ed336a | [
"MIT"
] | 1 | 2021-04-02T13:42:39.000Z | 2021-04-02T13:42:39.000Z | import gym
from tf_rl.common.memory import ReplayBuffer
size = 100000
env = gym.make("CartPole-v0")
memory = ReplayBuffer(size=size, traj_dir="./traj/")
state = env.reset()
action = env.action_space.sample()
next_state, reward, done, info = env.step(action)
env.close()
for _ in range(size):
memory.add(state, acti... | 25.526316 | 71 | 0.736082 |
6d60d1c4abd2129f815bdb0880d24a4bef820a4f | 2,586 | py | Python | stacking/1.binary/stack_xgb_lgb.py | huseinzol05/Machine-Learning-Data-Science-Reuse | 83f967a94254eb71ae021dccbc13f861d50c64f0 | [
"MIT"
] | 26 | 2018-02-09T04:57:19.000Z | 2021-10-03T13:06:18.000Z | stacking/1.binary/stack_xgb_lgb.py | huseinzol05/Machine-Learning-Data-Science-Reuse | 83f967a94254eb71ae021dccbc13f861d50c64f0 | [
"MIT"
] | null | null | null | stacking/1.binary/stack_xgb_lgb.py | huseinzol05/Machine-Learning-Data-Science-Reuse | 83f967a94254eb71ae021dccbc13f861d50c64f0 | [
"MIT"
] | 26 | 2018-03-04T08:10:03.000Z | 2021-08-04T08:05:49.000Z | import numpy as np
import pandas as pd
from sklearn.model_selection import StratifiedKFold
import lightgbm as lgb
import xgboost as xgb
# read dataset
df_train = pd.read_csv('train.csv')
df_test = pd.read_csv('test.csv')
# gini function
# define fold number
kfold = 5
skf = StratifiedKFold(n_splits=kfold, random_stat... | 31.925926 | 146 | 0.660866 |
6d61115da86ee25dd4b72746264e5411b0609670 | 7,889 | py | Python | sdk/python/pulumi_ovh/get_vps.py | legitbee/pulumi-ovh | 23205a76a958edfbfcd96242d9663b3d7c81ccd9 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_ovh/get_vps.py | legitbee/pulumi-ovh | 23205a76a958edfbfcd96242d9663b3d7c81ccd9 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_ovh/get_vps.py | legitbee/pulumi-ovh | 23205a76a958edfbfcd96242d9663b3d7c81ccd9 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from . import ... | 34.3 | 263 | 0.63316 |
6d61124fdff6342f0f0ec0bd44dc8339e788d4a2 | 901 | py | Python | config_projector.py | edmcdonagh/drumminhands_projector | bcb32ccfd9b18889ea87b01e6ad32a6298e89fdb | [
"MIT"
] | 6 | 2016-11-19T21:15:57.000Z | 2020-03-07T13:26:38.000Z | config_projector.py | edmcdonagh/drumminhands_projector | bcb32ccfd9b18889ea87b01e6ad32a6298e89fdb | [
"MIT"
] | null | null | null | config_projector.py | edmcdonagh/drumminhands_projector | bcb32ccfd9b18889ea87b01e6ad32a6298e89fdb | [
"MIT"
] | 2 | 2017-11-30T07:59:21.000Z | 2019-02-09T22:29:43.000Z | #!/usr/bin/env python
# configure these settings to change projector behavior
server_mount_path = '//192.168.42.11/PiShare' # shared folder on other pi
user_name = 'pi' # shared drive login user name
user_password = 'raspberry' # shared drive login password
client_mount_path = '/mnt/pishare' # where to find the shared... | 56.3125 | 88 | 0.758047 |
6d657cc1dbf7a0067d9d527dfd593e28370c316c | 12,213 | py | Python | quest/util/misc.py | sdc50/quest | 95fee57e6fb177c4d32c5e6cffbde61333f81b7d | [
"BSD-3-Clause"
] | 12 | 2018-03-26T19:59:54.000Z | 2022-02-02T01:21:09.000Z | quest/util/misc.py | sdc50/quest | 95fee57e6fb177c4d32c5e6cffbde61333f81b7d | [
"BSD-3-Clause"
] | 110 | 2018-02-08T19:56:15.000Z | 2019-05-30T20:55:09.000Z | quest/util/misc.py | sdc50/quest | 95fee57e6fb177c4d32c5e6cffbde61333f81b7d | [
"BSD-3-Clause"
] | 10 | 2018-02-08T20:31:43.000Z | 2020-08-05T18:45:01.000Z | import os
import re
import warnings
from uuid import uuid4, UUID
import shapely.geometry
import geopandas as gpd
import pandas as pd
import numpy as np
from geojson import LineString, Point, Polygon, Feature, FeatureCollection, MultiPolygon
try:
import simplejson as json
except ImportError:
import json
from ... | 28.940758 | 117 | 0.630558 |
6d66395e3f57acd1f4192653cc17454599adfcee | 27,335 | py | Python | xvqa2.py | frkl/SOBERT-XVQA-demo | c99d2f36d9ed275dfd3ba25c200019bbde197d4f | [
"Apache-2.0"
] | 2 | 2021-07-25T12:44:29.000Z | 2021-07-27T08:55:48.000Z | xvqa2.py | frkl/SOBERT-XVQA-demo | c99d2f36d9ed275dfd3ba25c200019bbde197d4f | [
"Apache-2.0"
] | null | null | null | xvqa2.py | frkl/SOBERT-XVQA-demo | c99d2f36d9ed275dfd3ba25c200019bbde197d4f | [
"Apache-2.0"
] | 1 | 2021-07-25T12:44:30.000Z | 2021-07-25T12:44:30.000Z | import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision.models
import torchvision.datasets.folder
import torchvision.transforms as transforms
import torchvision.transforms.functional as Ft
from pytorch_transformers import BertTokenizer
import os
import db
from PIL import Image
import cv2
i... | 39.788937 | 201 | 0.548601 |
ed8e12d1428a72d4ab6140f65c41158afee78887 | 3,455 | py | Python | fzutils/memory_utils.py | superonesfazai/fzutils | a8aafaacd94af0001af2ab139f0aa8cbcb8b5eda | [
"MIT"
] | 11 | 2018-08-04T08:14:27.000Z | 2021-09-03T09:00:33.000Z | fzutils/memory_utils.py | superonesfazai/fzutils | a8aafaacd94af0001af2ab139f0aa8cbcb8b5eda | [
"MIT"
] | null | null | null | fzutils/memory_utils.py | superonesfazai/fzutils | a8aafaacd94af0001af2ab139f0aa8cbcb8b5eda | [
"MIT"
] | 8 | 2018-08-04T08:16:17.000Z | 2019-05-05T09:17:35.000Z | # coding:utf-8
'''
@author = super_fazai
@File : memory_utils.py
@connect : superonesfazai@gmail.com
'''
"""
memory utils
"""
from pprint import pprint
from weakref import WeakKeyDictionary
from functools import wraps
from inspect import stack as inspect_stack
from traceback import extract_stack
from sys import _... | 27.420635 | 92 | 0.592185 |
ed8e6ab269e092f762ee8df541cc82f929c9e8fd | 283 | py | Python | molecule/default/tests/test_default.py | tottoto/ansible-role-kubectl | a6df49ffa401b4bde930feda75fb28abc484cb16 | [
"MIT"
] | null | null | null | molecule/default/tests/test_default.py | tottoto/ansible-role-kubectl | a6df49ffa401b4bde930feda75fb28abc484cb16 | [
"MIT"
] | 4 | 2020-02-26T20:19:31.000Z | 2021-09-23T23:33:14.000Z | molecule/default/tests/test_default.py | tottoto/ansible-role-kubectl | a6df49ffa401b4bde930feda75fb28abc484cb16 | [
"MIT"
] | null | null | null | import os
import testinfra.utils.ansible_runner
testinfra_hosts = testinfra.utils.ansible_runner.AnsibleRunner(
os.environ['MOLECULE_INVENTORY_FILE']).get_hosts('all')
| 23.583333 | 63 | 0.791519 |
ed8eb07399ef5dd6cfc37f643159fffdc078a9b3 | 636 | py | Python | lisa/web_api/producer.py | benbenwt/lisa_docker | 0b851223dbaecef9b27c418eae05890fea752d49 | [
"Apache-2.0"
] | null | null | null | lisa/web_api/producer.py | benbenwt/lisa_docker | 0b851223dbaecef9b27c418eae05890fea752d49 | [
"Apache-2.0"
] | 1 | 2021-12-17T00:14:27.000Z | 2021-12-17T00:14:27.000Z | lisa/web_api/producer.py | benbenwt/lisa_docker | 0b851223dbaecef9b27c418eae05890fea752d49 | [
"Apache-2.0"
] | null | null | null | from kafka import KafkaProducer, KafkaConsumer
from kafka.errors import kafka_errors
import traceback
import json
if __name__=='__main__':
produce("lisa",r"C:\Users\guo\Desktop\input1") | 28.909091 | 58 | 0.668239 |
ed9031f0183c6a80b06e2ca7c92c8e983422b804 | 1,847 | py | Python | lightgallery_caption.py | kellpossible/lightgallery-markdown-caption | dc7771fc06591add0a6c8a7300f1f5fdd4d512e6 | [
"MIT"
] | null | null | null | lightgallery_caption.py | kellpossible/lightgallery-markdown-caption | dc7771fc06591add0a6c8a7300f1f5fdd4d512e6 | [
"MIT"
] | null | null | null | lightgallery_caption.py | kellpossible/lightgallery-markdown-caption | dc7771fc06591add0a6c8a7300f1f5fdd4d512e6 | [
"MIT"
] | null | null | null | from markdown import Extension
from markdown.treeprocessors import Treeprocessor
from markdown.util import etree
import re
def makeExtension(configs={}):
return LightGalleryExtension(configs=configs)
| 37.693878 | 86 | 0.543584 |
ed9138a01663758b17298e639488cbf64b28b95b | 1,247 | py | Python | core/screen/screenshot_image.py | echim/pySteps | c33ac3446593b545aece475062d140527dcb443c | [
"MIT"
] | 8 | 2018-05-15T21:20:40.000Z | 2021-08-19T00:25:18.000Z | core/screen/screenshot_image.py | echim/pySteps | c33ac3446593b545aece475062d140527dcb443c | [
"MIT"
] | null | null | null | core/screen/screenshot_image.py | echim/pySteps | c33ac3446593b545aece475062d140527dcb443c | [
"MIT"
] | 2 | 2018-09-12T01:33:54.000Z | 2021-01-25T02:21:58.000Z | import cv2
import numpy as np
from pyautogui import screenshot
from pyautogui import size as get_screen_size
from core.screen.screen_rectangle import ScreenRectangle
| 31.974359 | 119 | 0.709703 |
ed94af084e037eae274541880d7fd4eaccace6d8 | 21 | py | Python | detection/models/__init__.py | DoomsdayT/Raspberry-Pi-Fall-Detection | ca1216e1e23ccf3484ea8365fac0b10e5bc8eb2a | [
"MIT"
] | 1 | 2020-09-08T08:08:56.000Z | 2020-09-08T08:08:56.000Z | detection/models/__init__.py | DoomsdayT/Raspberry-Pi-Fall-Detection | ca1216e1e23ccf3484ea8365fac0b10e5bc8eb2a | [
"MIT"
] | null | null | null | detection/models/__init__.py | DoomsdayT/Raspberry-Pi-Fall-Detection | ca1216e1e23ccf3484ea8365fac0b10e5bc8eb2a | [
"MIT"
] | 1 | 2022-01-24T06:03:54.000Z | 2022-01-24T06:03:54.000Z | from . import expert
| 10.5 | 20 | 0.761905 |
ed96d61d5cbb65d06584f7cebce259b1a0c9688c | 2,930 | py | Python | tests/port_tests/utils.py | synapticarbors/wagyu | b98354611dceda8888f2951e9704f843a4e88c27 | [
"MIT"
] | 1 | 2021-01-20T05:49:13.000Z | 2021-01-20T05:49:13.000Z | tests/port_tests/utils.py | synapticarbors/wagyu | b98354611dceda8888f2951e9704f843a4e88c27 | [
"MIT"
] | 1 | 2020-11-20T18:21:24.000Z | 2020-11-20T18:21:37.000Z | tests/port_tests/utils.py | synapticarbors/wagyu | b98354611dceda8888f2951e9704f843a4e88c27 | [
"MIT"
] | 2 | 2020-11-20T18:17:31.000Z | 2021-01-20T14:58:22.000Z | from typing import (List,
Tuple)
from tests.utils import (RawPointsList,
RawPolygon,
enum_to_values)
from wagyu.bound import Bound as PortedBound
from wagyu.box import Box as PortedBox
from wagyu.edge import Edge as PortedEdge
from wagyu.enums impor... | 41.267606 | 76 | 0.740956 |
ed9896d9b85e134af17c775461c25784086c7535 | 4,181 | py | Python | django_oneskyapp/management/commands/pullonesky.py | goteamup/django-oneskyapp | 8220b93f6faec1193e6d2263b3b42dc065ddae5f | [
"MIT"
] | null | null | null | django_oneskyapp/management/commands/pullonesky.py | goteamup/django-oneskyapp | 8220b93f6faec1193e6d2263b3b42dc065ddae5f | [
"MIT"
] | null | null | null | django_oneskyapp/management/commands/pullonesky.py | goteamup/django-oneskyapp | 8220b93f6faec1193e6d2263b3b42dc065ddae5f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from django.conf import settings
from django.core import management
from django_oneskyapp.utils import OneSkyApiClientException, OneSkyApiClient
import os
| 51.617284 | 243 | 0.729012 |
ed99622ae1dd4a334318cf1ef4a3d20d64828d4e | 29 | py | Python | sparksetup/__init__.py | PKPDAI/PKDocClassifier | f37e6623185f3388c64322fc47fe6aaa8a597939 | [
"MIT"
] | 10 | 2021-03-12T17:01:14.000Z | 2022-03-26T02:02:56.000Z | sparksetup/__init__.py | PKPDAI/PKDocClassifier | f37e6623185f3388c64322fc47fe6aaa8a597939 | [
"MIT"
] | 1 | 2021-02-10T19:09:07.000Z | 2021-02-10T19:09:07.000Z | sparksetup/__init__.py | fgh95/PKDocClassifier | f37e6623185f3388c64322fc47fe6aaa8a597939 | [
"MIT"
] | 3 | 2021-03-18T12:37:39.000Z | 2022-01-11T02:35:10.000Z | from .sparkconf import spark
| 14.5 | 28 | 0.827586 |
ed99cd98ac2a8832973daebcd0b8516c9f800d03 | 751 | py | Python | setup/patch-install-rdf.py | BearerPipelineTest/zotero-better-bibtex | 67985f6a8bd5d56297ec56c9558ffe1bfb417843 | [
"MIT"
] | null | null | null | setup/patch-install-rdf.py | BearerPipelineTest/zotero-better-bibtex | 67985f6a8bd5d56297ec56c9558ffe1bfb417843 | [
"MIT"
] | null | null | null | setup/patch-install-rdf.py | BearerPipelineTest/zotero-better-bibtex | 67985f6a8bd5d56297ec56c9558ffe1bfb417843 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import glob
import json
import xml.dom.minidom as minidom
import json
install = minidom.parse('build/install.rdf')
ta = install.getElementsByTagNameNS('*', 'targetApplication')[0]
with open('schema/supported.json') as f:
min_version = json.load(f)
for client, version in min_version.items():... | 32.652174 | 106 | 0.724368 |
ed9a1bc4040b9471e3562acd05d761a9d49742e8 | 410 | py | Python | python/import-data-url.py | wizzardz/vehicle-statistics-india | a54f84460ce3129d170510ce2c33799008b1a7a6 | [
"Apache-2.0"
] | null | null | null | python/import-data-url.py | wizzardz/vehicle-statistics-india | a54f84460ce3129d170510ce2c33799008b1a7a6 | [
"Apache-2.0"
] | null | null | null | python/import-data-url.py | wizzardz/vehicle-statistics-india | a54f84460ce3129d170510ce2c33799008b1a7a6 | [
"Apache-2.0"
] | null | null | null | import urllib.request
import json
import sys
import os
data = ''
url = sys.argv[1]
output_folder = sys.argv[2]
file_name = sys.argv[3]
with urllib.request.urlopen(url) as response:
data = response.read().decode('utf-8')
index = 1
filename = output_folder + '/' + file_name + '.json'
os.makedirs(os.path.dirname(fil... | 20.5 | 53 | 0.719512 |
ed9aa65300cd780d6505d47d777d1fe467511db5 | 1,777 | py | Python | opt.py | ArmandB/RITnet | afe9524fdd795982c7e52761da68af2dfda589ea | [
"MIT"
] | null | null | null | opt.py | ArmandB/RITnet | afe9524fdd795982c7e52761da68af2dfda589ea | [
"MIT"
] | null | null | null | opt.py | ArmandB/RITnet | afe9524fdd795982c7e52761da68af2dfda589ea | [
"MIT"
] | 3 | 2021-03-05T04:49:42.000Z | 2022-02-16T20:20:33.000Z | from pprint import pprint
import argparse
if __name__ == '__main__':
opt = parse_args()
print('opt[\'dataset\'] is ', opt.dataset)
| 43.341463 | 112 | 0.694429 |
ed9af6a143012b913881d84d203843d4df5a3ae6 | 2,988 | py | Python | Face Cluster/Project/Validation folder/FaceDetection.py | adius0711/CVIP | c8fe00c607cd69260ec48eeeb7baee6ef28cd898 | [
"Apache-2.0"
] | null | null | null | Face Cluster/Project/Validation folder/FaceDetection.py | adius0711/CVIP | c8fe00c607cd69260ec48eeeb7baee6ef28cd898 | [
"Apache-2.0"
] | null | null | null | Face Cluster/Project/Validation folder/FaceDetection.py | adius0711/CVIP | c8fe00c607cd69260ec48eeeb7baee6ef28cd898 | [
"Apache-2.0"
] | null | null | null | import cv2
import argparse
import os
import numpy as np
import json
from colab import files
image_types = (".jpg", ".jpeg", ".png", ".bmp", ".tif", ".tiff")
ap = argparse.ArgumentParser()
ap.add_argument("-C", "--confidence", type=float, default=0.58,
help="minimum probability to filt... | 36.888889 | 106 | 0.614458 |
ed9ba2f7e9dbbd66c02c15b827c7a04d2ac3b61b | 11,678 | py | Python | concept/tools/decorator.py | Nachtfeuer/concept-py | 64e1f82de144f959cdf3c6dcf0f692bbc0ceb20f | [
"MIT"
] | 2 | 2019-03-02T18:50:24.000Z | 2019-12-19T14:15:42.000Z | concept/tools/decorator.py | Nachtfeuer/concept-py | 64e1f82de144f959cdf3c6dcf0f692bbc0ceb20f | [
"MIT"
] | 10 | 2015-07-27T03:24:57.000Z | 2017-03-31T18:11:26.000Z | concept/tools/decorator.py | Nachtfeuer/concept-py | 64e1f82de144f959cdf3c6dcf0f692bbc0ceb20f | [
"MIT"
] | null | null | null | """
Decorator tools.
.. module:: decorator
:platform: Unix, Windows
:synopis: decorator tools.
.. moduleauthor:: Thomas Lehmann <thomas.lehmann.private@googlemail.com>
=======
License
=======
Copyright (c) 2015 Thomas Lehmann
Permission is hereby granted, free of charge, to any person obt... | 35.822086 | 93 | 0.60721 |
ed9c653527a279116750d849e9b13b625dcbc002 | 4,827 | py | Python | reframe/core/schedulers/torque.py | stevenvdb/reframe | be9de13dc16d2c9fb4b760e07ac986b04f8ed880 | [
"BSD-3-Clause"
] | null | null | null | reframe/core/schedulers/torque.py | stevenvdb/reframe | be9de13dc16d2c9fb4b760e07ac986b04f8ed880 | [
"BSD-3-Clause"
] | null | null | null | reframe/core/schedulers/torque.py | stevenvdb/reframe | be9de13dc16d2c9fb4b760e07ac986b04f8ed880 | [
"BSD-3-Clause"
] | null | null | null | # Copyright 2016-2020 Swiss National Supercomputing Centre (CSCS/ETH Zurich)
# ReFrame Project Developers. See the top-level LICENSE file for details.
#
# SPDX-License-Identifier: BSD-3-Clause
#
# Torque backend
#
# - Initial version submitted by Samuel Moors, Vrije Universiteit Brussel (VUB)
#
import re
import os
imp... | 34.478571 | 79 | 0.549617 |
ed9cd937ba522f2f4faa679769f731bbd4fc5628 | 4,623 | py | Python | env/lib/python3.8/site-packages/unidecode/x09a.py | avdhari/enigma | b7e965a91ca5f0e929c4c719d695f15ccb8b5a2c | [
"MIT"
] | 82 | 2020-03-28T02:24:38.000Z | 2022-03-30T04:18:42.000Z | venv/lib/python3.6/site-packages/unidecode/x09a.py | mrsaicharan1/iiita-updates | a22a0157b90d29b946d0f020e5f76744f73a6bff | [
"Apache-2.0"
] | 392 | 2015-07-30T14:37:05.000Z | 2022-03-21T16:56:09.000Z | venv/lib/python3.6/site-packages/unidecode/x09a.py | mrsaicharan1/iiita-updates | a22a0157b90d29b946d0f020e5f76744f73a6bff | [
"Apache-2.0"
] | 30 | 2020-06-20T15:31:53.000Z | 2022-03-06T06:23:55.000Z | data = (
'E ', # 0x00
'Cheng ', # 0x01
'Xin ', # 0x02
'Ai ', # 0x03
'Lu ', # 0x04
'Zhui ', # 0x05
'Zhou ', # 0x06
'She ', # 0x07
'Pian ', # 0x08
'Kun ', # 0x09
'Tao ', # 0x0a
'Lai ', # 0x0b
'Zong ', # 0x0c
'Ke ', # 0x0d
'Qi ', # 0x0e
'Qi ', # 0x0f
'Yan ', # 0x10
'Fei '... | 17.849421 | 20 | 0.389358 |
ed9ced796a1b1297b457584a21018d8e45918e30 | 879 | py | Python | test_series_size.py | soothingjennyg/pandasTestingProject | c1bf9ec30723316c992f57dd9e2c5e2215dbe595 | [
"MIT"
] | null | null | null | test_series_size.py | soothingjennyg/pandasTestingProject | c1bf9ec30723316c992f57dd9e2c5e2215dbe595 | [
"MIT"
] | null | null | null | test_series_size.py | soothingjennyg/pandasTestingProject | c1bf9ec30723316c992f57dd9e2c5e2215dbe595 | [
"MIT"
] | 1 | 2021-12-08T20:59:09.000Z | 2021-12-08T20:59:09.000Z | import pandas as pd
import unittest
if __name__ == '__main__':
unittest.main()
| 30.310345 | 114 | 0.653015 |
ed9e989e3ecf6c7b2201afc78dfc1d0c1fbdb7cf | 12,325 | py | Python | dqn.py | justinmilner1/Connect4-master | 9cd16b1c23c5a0de07177dd332e53d4574269d28 | [
"MIT"
] | null | null | null | dqn.py | justinmilner1/Connect4-master | 9cd16b1c23c5a0de07177dd332e53d4574269d28 | [
"MIT"
] | null | null | null | dqn.py | justinmilner1/Connect4-master | 9cd16b1c23c5a0de07177dd332e53d4574269d28 | [
"MIT"
] | null | null | null | import random
import logging
import numpy as np
import tensorflow as tf
| 61.625 | 156 | 0.618093 |
eda0102bee225153a9a9c699f2932d3638a5b5ac | 192 | py | Python | Test.py | pgDora56/MakeVirtualBlogArticle | 17de05ace2dfc85566563796553cde212b647749 | [
"MIT"
] | null | null | null | Test.py | pgDora56/MakeVirtualBlogArticle | 17de05ace2dfc85566563796553cde212b647749 | [
"MIT"
] | null | null | null | Test.py | pgDora56/MakeVirtualBlogArticle | 17de05ace2dfc85566563796553cde212b647749 | [
"MIT"
] | null | null | null | import MeCab
with open(r"output\417\001.txt", encoding="utf-8") as f:
s = f.read()
m = MeCab.Tagger().parse(s)
print(m)
m = MeCab.Tagger().parse("[NEWLINE]")
print(m)
| 17.454545 | 57 | 0.572917 |
eda26997e04dad71a5345443c6618c67bd6570e5 | 613 | py | Python | oops_fhir/r4/value_set/contact_point_system.py | Mikuana/oops_fhir | 77963315d123756b7d21ae881f433778096a1d25 | [
"MIT"
] | null | null | null | oops_fhir/r4/value_set/contact_point_system.py | Mikuana/oops_fhir | 77963315d123756b7d21ae881f433778096a1d25 | [
"MIT"
] | null | null | null | oops_fhir/r4/value_set/contact_point_system.py | Mikuana/oops_fhir | 77963315d123756b7d21ae881f433778096a1d25 | [
"MIT"
] | null | null | null | from pathlib import Path
from fhir.resources.valueset import ValueSet as _ValueSet
from oops_fhir.utils import ValueSet
from oops_fhir.r4.code_system.contact_point_system import (
ContactPointSystem as ContactPointSystem_,
)
__all__ = ["ContactPointSystem"]
_resource = _ValueSet.parse_file(Path(__file__).wit... | 19.774194 | 69 | 0.748777 |
eda269eeba1002830ddb7feba1403352015b2168 | 3,367 | py | Python | django_db_meter/views.py | djangothon/django-db-meter | 2a96b32b5cc1a926832316841afd5da7d90a0b8f | [
"Apache-2.0"
] | null | null | null | django_db_meter/views.py | djangothon/django-db-meter | 2a96b32b5cc1a926832316841afd5da7d90a0b8f | [
"Apache-2.0"
] | null | null | null | django_db_meter/views.py | djangothon/django-db-meter | 2a96b32b5cc1a926832316841afd5da7d90a0b8f | [
"Apache-2.0"
] | null | null | null | import json
from django.conf import settings
from django.core.urlresolvers import reverse
from django.http import HttpResponse
from django.db.models import get_apps, get_models
from django.shortcuts import render
from django.core.serializers.json import DjangoJSONEncoder
from django_db_meter.models import DBQueryMetr... | 33.67 | 101 | 0.703594 |
eda4d5314c384a7c541d66c7886698d6c0355864 | 1,109 | py | Python | demo.py | smartninja/smartninja-mongo | 5d9bd1bdf81db79560b71688b4ec0795014e5804 | [
"MIT"
] | null | null | null | demo.py | smartninja/smartninja-mongo | 5d9bd1bdf81db79560b71688b4ec0795014e5804 | [
"MIT"
] | null | null | null | demo.py | smartninja/smartninja-mongo | 5d9bd1bdf81db79560b71688b4ec0795014e5804 | [
"MIT"
] | null | null | null | import datetime
from smartninja_mongo.bson import ObjectId
from smartninja_mongo.connection import MongoClient
from smartninja_mongo.odm import Model
client = MongoClient('mongodb://localhost:27017/')
db = client.my_database
collection = db.users
user_id = collection.insert_one({"first_name": "Matej", "last_name":... | 23.595745 | 97 | 0.724977 |
eda65be31fd3ddf73831bba093f8142205944ce0 | 6,629 | py | Python | scripts/extract_coll_format.py | therosko/Thesis-NER-in-English-novels | 7988c3aa4f904e91b1e674090dbdc6487b4ad042 | [
"Apache-2.0"
] | null | null | null | scripts/extract_coll_format.py | therosko/Thesis-NER-in-English-novels | 7988c3aa4f904e91b1e674090dbdc6487b4ad042 | [
"Apache-2.0"
] | null | null | null | scripts/extract_coll_format.py | therosko/Thesis-NER-in-English-novels | 7988c3aa4f904e91b1e674090dbdc6487b4ad042 | [
"Apache-2.0"
] | null | null | null |
####################################################################################################################################################
# Flair Dekker
import pandas as pd
import os
import csv
# import own script
from hyphens import *
from patch_flair_parsing import *
from calculate_metrics import *
fi... | 53.459677 | 292 | 0.610348 |
edaa2e6e59e705770a65843fb484ab08934862e0 | 148 | py | Python | ml_model_evaluation/__init__.py | nkaenzig/ml_model_evaluation | 0064a223b3a6362b7e281d9241cb9ffe97247bb0 | [
"MIT"
] | null | null | null | ml_model_evaluation/__init__.py | nkaenzig/ml_model_evaluation | 0064a223b3a6362b7e281d9241cb9ffe97247bb0 | [
"MIT"
] | null | null | null | ml_model_evaluation/__init__.py | nkaenzig/ml_model_evaluation | 0064a223b3a6362b7e281d9241cb9ffe97247bb0 | [
"MIT"
] | null | null | null | """Top-level package for ML Model Evaluation Toolkit."""
__author__ = """Nicolas Kaenzig"""
__email__ = "nkaenzig@gmail.com"
__version__ = "0.1.0"
| 24.666667 | 56 | 0.709459 |