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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
098d7c6c55f7415535fddaa88a483e5bc3bc96a3 | 650 | py | Python | Python/[4 kyu] Sum of Intervals.py | KonstantinosAng/CodeWars | 9ec9da9ed95b47b9656a5ecf77f486230fd15e3a | [
"MIT"
] | null | null | null | Python/[4 kyu] Sum of Intervals.py | KonstantinosAng/CodeWars | 9ec9da9ed95b47b9656a5ecf77f486230fd15e3a | [
"MIT"
] | null | null | null | Python/[4 kyu] Sum of Intervals.py | KonstantinosAng/CodeWars | 9ec9da9ed95b47b9656a5ecf77f486230fd15e3a | [
"MIT"
] | null | null | null | # More details on this kata
# https://www.codewars.com/kata/52b7ed099cdc285c300001cd
| 32.5 | 56 | 0.432308 |
098ecd46fb3c22e9788a5fea3f7f90c4783dd2f7 | 59,170 | py | Python | tests/test_certdb.py | crocs-muni/cert-validataion-stats | bd61968c0487e634c160f6e25b7bb0eb1bab64fc | [
"MIT"
] | 3 | 2020-06-26T09:31:35.000Z | 2020-06-26T09:32:17.000Z | tests/test_certdb.py | crocs-muni/cert-validataion-stats | bd61968c0487e634c160f6e25b7bb0eb1bab64fc | [
"MIT"
] | null | null | null | tests/test_certdb.py | crocs-muni/cert-validataion-stats | bd61968c0487e634c160f6e25b7bb0eb1bab64fc | [
"MIT"
] | null | null | null | """
This module contains white-box unit tests of CertDB package
"""
# pylint: disable=W0212, C0103, C0302
import sys
import os
import subprocess
import time
import shutil
import string
import random
import unittest
import unittest.mock
from collections import OrderedDict
import toml
from cevast.utils import make_PEM_fi... | 43.86212 | 112 | 0.65905 |
09902a24aa7794ecafdf93045b5137f40aa8d310 | 2,325 | py | Python | src/utils/utils.py | T1b4lt/gen-alg-examples | 7498c3b96fbc2b6c968cc98d0f1ef6551345a1f4 | [
"MIT"
] | null | null | null | src/utils/utils.py | T1b4lt/gen-alg-examples | 7498c3b96fbc2b6c968cc98d0f1ef6551345a1f4 | [
"MIT"
] | null | null | null | src/utils/utils.py | T1b4lt/gen-alg-examples | 7498c3b96fbc2b6c968cc98d0f1ef6551345a1f4 | [
"MIT"
] | null | null | null | import uuid
import numpy as np
def fitness_offsprings(mutated_offsprings, func_weights):
fitness_array = []
for indv in mutated_offsprings:
fitness_array.append(fitness_max_function(indv.weights, func_weights))
print("Actual offsprings fitness values:")
print(fitness_array)
return fitness_array
def fitne... | 27.034884 | 112 | 0.743656 |
0990ac9875cade50ef8fa38605b20f842216c59c | 516 | py | Python | main/migrations/0023_auto_20200114_2019.py | Ducolnd/SQ37 | 2323c3bd07124f082f1bb018c6ae5ee4cb7c94d1 | [
"Apache-2.0"
] | null | null | null | main/migrations/0023_auto_20200114_2019.py | Ducolnd/SQ37 | 2323c3bd07124f082f1bb018c6ae5ee4cb7c94d1 | [
"Apache-2.0"
] | null | null | null | main/migrations/0023_auto_20200114_2019.py | Ducolnd/SQ37 | 2323c3bd07124f082f1bb018c6ae5ee4cb7c94d1 | [
"Apache-2.0"
] | null | null | null | # Generated by Django 2.2.1 on 2020-01-14 19:19
from django.db import migrations, models
| 22.434783 | 74 | 0.581395 |
0990bfe14e23c72b11bf2defe5e3302294dbdd91 | 11,197 | py | Python | unit_list.py | guliverza/AdditionalPylons | 37336dcd1678c6cdfa22d881c2178ba65cb1fd61 | [
"MIT"
] | null | null | null | unit_list.py | guliverza/AdditionalPylons | 37336dcd1678c6cdfa22d881c2178ba65cb1fd61 | [
"MIT"
] | null | null | null | unit_list.py | guliverza/AdditionalPylons | 37336dcd1678c6cdfa22d881c2178ba65cb1fd61 | [
"MIT"
] | null | null | null | import sc2
from sc2.constants import *
#our own classes
from unit_counters import UnitCounter
from warpprism import WarpPrism as wpControl
from immortal import Immortal as imControl
from stalker import Stalker as skControl
from zealot import Zealot as zlControl
from sentry import Sentry as snControl
from ade... | 34.24159 | 155 | 0.703224 |
09912f75595653975287507558557321b7720adb | 619 | py | Python | src/lib/bver/Versioned/Addon.py | backboneHQ/bver | c3c929442fadb28a3f39d0ddec19fb2dfc7a4732 | [
"MIT"
] | 1 | 2021-09-09T01:22:37.000Z | 2021-09-09T01:22:37.000Z | src/lib/bver/Versioned/Addon.py | backboneHQ/bver | c3c929442fadb28a3f39d0ddec19fb2dfc7a4732 | [
"MIT"
] | null | null | null | src/lib/bver/Versioned/Addon.py | backboneHQ/bver | c3c929442fadb28a3f39d0ddec19fb2dfc7a4732 | [
"MIT"
] | 1 | 2021-09-03T18:45:15.000Z | 2021-09-03T18:45:15.000Z | from .Versioned import Versioned
| 23.807692 | 77 | 0.568659 |
099172de3e642bdeca5a27c254f8bd00fc1bca12 | 393 | py | Python | agendamentos/migrations/0002_rename_ponto_agendamentos.py | afnmachado/univesp_pi_1 | e6f2b545faaf53d14d17f751d2fb32e6618885b7 | [
"MIT"
] | null | null | null | agendamentos/migrations/0002_rename_ponto_agendamentos.py | afnmachado/univesp_pi_1 | e6f2b545faaf53d14d17f751d2fb32e6618885b7 | [
"MIT"
] | null | null | null | agendamentos/migrations/0002_rename_ponto_agendamentos.py | afnmachado/univesp_pi_1 | e6f2b545faaf53d14d17f751d2fb32e6618885b7 | [
"MIT"
] | null | null | null | # Generated by Django 3.2.8 on 2021-11-15 20:32
from django.db import migrations
| 20.684211 | 63 | 0.613232 |
09928e74c332f7b48d51ab003cf566958a601031 | 5,988 | py | Python | backend/filing/admin.py | bhardwajRahul/sec-filings-app | 8cf7f5956717db8fee1f9a20445986ad9cb831ca | [
"MIT"
] | 36 | 2020-12-04T08:16:38.000Z | 2022-03-22T02:30:49.000Z | backend/filing/admin.py | bhardwajRahul/sec-filings-app | 8cf7f5956717db8fee1f9a20445986ad9cb831ca | [
"MIT"
] | 1 | 2021-10-14T22:20:40.000Z | 2021-10-17T17:29:50.000Z | backend/filing/admin.py | briancaffey/sec-filings-app | 8cf7f5956717db8fee1f9a20445986ad9cb831ca | [
"MIT"
] | 16 | 2020-11-30T18:46:51.000Z | 2022-01-20T23:01:58.000Z | from datetime import date
from django.contrib import admin, messages
from django.core.management import call_command
from django.utils.html import format_html
from django.http import HttpResponseRedirect
from django.urls import path
# Register your models here.
from .models import (
FilingList,
Filing,
H... | 27.981308 | 129 | 0.644122 |
0993f348c7032c4b29ebad6f8cebebce182f1117 | 1,039 | py | Python | 2019/day_06.py | nabiirah/advent-of-code | 9c7e7cae437c024aa05d9cb7f9211fd47f5226a2 | [
"MIT"
] | 24 | 2020-12-08T20:07:52.000Z | 2022-01-18T20:08:06.000Z | 2019/day_06.py | nestorhf/advent-of-code | 1bb827e9ea85e03e0720e339d10b3ed8c44d8f27 | [
"MIT"
] | null | null | null | 2019/day_06.py | nestorhf/advent-of-code | 1bb827e9ea85e03e0720e339d10b3ed8c44d8f27 | [
"MIT"
] | 10 | 2020-12-04T10:04:15.000Z | 2022-02-21T22:22:26.000Z | """Advent of Code 2019 Day 6 - Universal Orbit Map."""
with open('inputs/day_06.txt', 'r') as f:
orbits = f.read().split()
objects_dict = {}
for orbit in orbits:
orbited, orbiter = orbit.split(')')
objects_dict[orbiter] = orbited
num_orbits = 0
for orbiter in objects_dict:
next_orbit = objects_dict.... | 25.975 | 79 | 0.704524 |
099616993ba496a5f298e789a5f964e19fc3db1f | 663 | py | Python | tests/test_handler.py | jbasko/hookery | 5638de2999ad533f83bc9a03110f85e5a0404257 | [
"MIT"
] | 3 | 2017-06-25T22:52:03.000Z | 2018-08-11T22:43:49.000Z | tests/test_handler.py | jbasko/hookery | 5638de2999ad533f83bc9a03110f85e5a0404257 | [
"MIT"
] | null | null | null | tests/test_handler.py | jbasko/hookery | 5638de2999ad533f83bc9a03110f85e5a0404257 | [
"MIT"
] | 1 | 2018-06-05T02:56:28.000Z | 2018-06-05T02:56:28.000Z | from hookery import Handler, Hook
| 22.1 | 66 | 0.641026 |
0996b5a05af034475da68915d54936a0fd18f441 | 1,057 | py | Python | apps/permcontrol/router.py | zshengsheng/Swallow | dd5098e241c5b4e50e53abbb105fd45323abf4d5 | [
"MIT"
] | 10 | 2018-03-18T14:22:31.000Z | 2019-03-18T03:13:40.000Z | apps/permcontrol/router.py | zshengsheng/Swallow | dd5098e241c5b4e50e53abbb105fd45323abf4d5 | [
"MIT"
] | null | null | null | apps/permcontrol/router.py | zshengsheng/Swallow | dd5098e241c5b4e50e53abbb105fd45323abf4d5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2019/2/25 14:14
# @Author : ZJJ
# @Email : 597105373@qq.com
from .views import UserViewset, ChangeUserPasswdView, GroupsViewset, UserGroupViewset, GroupMemberViewset, \
PermissionViewset, GroupPermViewset, PersonalInfoViewset
from rest_framework... | 52.85 | 109 | 0.796594 |
0996f3d1f1ac8a9ea6f99a214f2486805b79d23f | 3,742 | py | Python | __init__.py | FabienBasset/evolucare-skill | 4ecce1615cb11d72196ea745d2753fec19117b12 | [
"Apache-2.0"
] | null | null | null | __init__.py | FabienBasset/evolucare-skill | 4ecce1615cb11d72196ea745d2753fec19117b12 | [
"Apache-2.0"
] | null | null | null | __init__.py | FabienBasset/evolucare-skill | 4ecce1615cb11d72196ea745d2753fec19117b12 | [
"Apache-2.0"
] | null | null | null | # TODO: Add an appropriate license to your skill before publishing. See
# the LICENSE file for more information.
# Below is the list of outside modules you'll be using in your skill.
# They might be built-in to Python, from mycroft-core or from external
# libraries. If you use an external library, be sure to include... | 33.711712 | 84 | 0.638696 |
0997546f6d77374f92afff882bacd381651ee0ae | 123 | py | Python | inconnu/traits/__init__.py | tiltowait/inconnu | 6cca5fed520899d159537701b695c94222d8dc45 | [
"MIT"
] | 4 | 2021-09-06T20:18:13.000Z | 2022-02-05T17:08:44.000Z | inconnu/traits/__init__.py | tiltowait/inconnu | 6cca5fed520899d159537701b695c94222d8dc45 | [
"MIT"
] | 7 | 2021-09-13T00:46:57.000Z | 2022-01-11T06:38:50.000Z | inconnu/traits/__init__.py | tiltowait/inconnu | 6cca5fed520899d159537701b695c94222d8dc45 | [
"MIT"
] | 2 | 2021-11-27T22:24:53.000Z | 2022-03-16T21:05:00.000Z | """Set up the package interface."""
from .add_update import add, update
from .show import show
from .delete import delete
| 20.5 | 35 | 0.756098 |
0997cd0a89022a9406ffd19fb23a90e8f3cec543 | 300 | py | Python | web/searching.py | Kabanosk/JAVRIS | f3fac115eb537e689c59bd093da34e7f0b34a035 | [
"MIT"
] | null | null | null | web/searching.py | Kabanosk/JAVRIS | f3fac115eb537e689c59bd093da34e7f0b34a035 | [
"MIT"
] | null | null | null | web/searching.py | Kabanosk/JAVRIS | f3fac115eb537e689c59bd093da34e7f0b34a035 | [
"MIT"
] | null | null | null | import webbrowser as web
from bs4 import BeautifulSoup
STARTING_URL = 'https://www.google.com/search?q='
| 25 | 50 | 0.716667 |
099a45ec8f275507986b6214bd241fe4b6c71ae3 | 54 | py | Python | tests/__init__.py | GDG-Ukraine/talks-feedback | 9016e2ecc35858d45f4979fab5a54ee953a75f04 | [
"MIT"
] | null | null | null | tests/__init__.py | GDG-Ukraine/talks-feedback | 9016e2ecc35858d45f4979fab5a54ee953a75f04 | [
"MIT"
] | null | null | null | tests/__init__.py | GDG-Ukraine/talks-feedback | 9016e2ecc35858d45f4979fab5a54ee953a75f04 | [
"MIT"
] | null | null | null | """Test suite for the Talks Feedback microservice."""
| 27 | 53 | 0.740741 |
099a7200287e3918106aa13022ec6083c9f7a764 | 867 | py | Python | app/models.py | KhaledHamoul/nbo_cs_dashboard | 0fc5a3479da4346d3b8f5cf44b19292ea2b99b10 | [
"MIT"
] | null | null | null | app/models.py | KhaledHamoul/nbo_cs_dashboard | 0fc5a3479da4346d3b8f5cf44b19292ea2b99b10 | [
"MIT"
] | null | null | null | app/models.py | KhaledHamoul/nbo_cs_dashboard | 0fc5a3479da4346d3b8f5cf44b19292ea2b99b10 | [
"MIT"
] | null | null | null | from django.db import models
from django.contrib.auth.models import User
import json
| 29.896552 | 81 | 0.730104 |
099bd56c8872287f3abf2cdee5e4888979d01b99 | 86 | py | Python | bigGay/__init__.py | MayaValentia/byleth-bot-dev | d22290156fdac597aca2dd6d83020dbb49ad8ff0 | [
"MIT"
] | 1 | 2020-08-12T18:46:49.000Z | 2020-08-12T18:46:49.000Z | bigGay/__init__.py | MayaValentia/byleth-bot-dev | d22290156fdac597aca2dd6d83020dbb49ad8ff0 | [
"MIT"
] | null | null | null | bigGay/__init__.py | MayaValentia/byleth-bot-dev | d22290156fdac597aca2dd6d83020dbb49ad8ff0 | [
"MIT"
] | 2 | 2020-09-13T02:55:48.000Z | 2021-02-11T09:34:07.000Z | from .bigGay import bigGay | 17.2 | 26 | 0.674419 |
099c6d4626feec61b7b00c6c857042abd77c6c2a | 2,039 | py | Python | ai_script_writer.py | FLWL/aoc-ai-parser | 2e08fc7b0909579aced5a84bda3645dbe8834d39 | [
"MIT"
] | 10 | 2019-03-17T00:48:35.000Z | 2022-02-06T18:15:48.000Z | ai_script_writer.py | FLWL/aoc-ai-parser | 2e08fc7b0909579aced5a84bda3645dbe8834d39 | [
"MIT"
] | null | null | null | ai_script_writer.py | FLWL/aoc-ai-parser | 2e08fc7b0909579aced5a84bda3645dbe8834d39 | [
"MIT"
] | 1 | 2022-01-16T12:38:52.000Z | 2022-01-16T12:38:52.000Z | from ai_constants import *
import ai_generator
if __name__ == '__main__':
# generate and express a rule
rule_tree = ai_generator.generate_rule()
rule_script = express_node(rule_tree)
print(rule_script)
# generate and write a script
script_tree = ai_generator.generate_script()
write_sc... | 30.432836 | 91 | 0.650809 |
099d1dd35cd095ae208ec87e7df60676dd935b0a | 1,316 | py | Python | euler-148.py | simonolander/euler | 4d7c4cd9333201cd0065419a511f111b6d75d90c | [
"MIT"
] | null | null | null | euler-148.py | simonolander/euler | 4d7c4cd9333201cd0065419a511f111b6d75d90c | [
"MIT"
] | null | null | null | euler-148.py | simonolander/euler | 4d7c4cd9333201cd0065419a511f111b6d75d90c | [
"MIT"
] | null | null | null | import numpy as np
from tabulate import tabulate
np.set_printoptions(linewidth=400, threshold=100000)
print(c(1000000000))
| 19.939394 | 70 | 0.506839 |
099d22378abb2c23fd159020197e09cb83d9cba8 | 440 | py | Python | geotrek/common/utils/translation.py | GeotrekCE/Geotrek | c1393925c1940ac795ab7fc04819cd8c78bc79fb | [
"BSD-2-Clause"
] | null | null | null | geotrek/common/utils/translation.py | GeotrekCE/Geotrek | c1393925c1940ac795ab7fc04819cd8c78bc79fb | [
"BSD-2-Clause"
] | null | null | null | geotrek/common/utils/translation.py | GeotrekCE/Geotrek | c1393925c1940ac795ab7fc04819cd8c78bc79fb | [
"BSD-2-Clause"
] | null | null | null | from django.conf import settings
if 'modeltranslation' in settings.INSTALLED_APPS:
from modeltranslation.translator import translator, NotRegistered
def get_translated_fields(model):
"""Get translated fields from a model"""
try:
mto = translator.get_options_for_model(model)
except NotRegister... | 27.5 | 69 | 0.731818 |
099dcffa5aed44bda69a923f230dbcd1cba3e9b5 | 141,668 | py | Python | pysnmp-with-texts/OSPF-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 8 | 2019-05-09T17:04:00.000Z | 2021-06-09T06:50:51.000Z | pysnmp-with-texts/OSPF-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 4 | 2019-05-31T16:42:59.000Z | 2020-01-31T21:57:17.000Z | pysnmp-with-texts/OSPF-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module OSPF-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/OSPF-MIB
# Produced by pysmi-0.3.4 at Wed May 1 11:18:45 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:1... | 152.659483 | 9,786 | 0.785753 |
099e3f2b24bd01bfd5b7e1350533a5d17bf7ffdd | 1,695 | py | Python | abandoned-ideas/yml-generator.py | HenryZheng1/sengrep-cli-py | 89d2ffad813706a534290f248220f0d32aeb4c3c | [
"Apache-2.0"
] | null | null | null | abandoned-ideas/yml-generator.py | HenryZheng1/sengrep-cli-py | 89d2ffad813706a534290f248220f0d32aeb4c3c | [
"Apache-2.0"
] | null | null | null | abandoned-ideas/yml-generator.py | HenryZheng1/sengrep-cli-py | 89d2ffad813706a534290f248220f0d32aeb4c3c | [
"Apache-2.0"
] | 2 | 2021-07-23T16:46:16.000Z | 2021-07-30T02:59:43.000Z | from csv import reader
import yaml
import json
go()
| 35.3125 | 150 | 0.60118 |
099e6785d5350ed75115c74f1a4e9bf333839d99 | 4,018 | py | Python | linearizer/utils.py | Max1993Liu/Linearizer | 739c47c0d98d262a0bc962a450729bcf83c61212 | [
"MIT"
] | null | null | null | linearizer/utils.py | Max1993Liu/Linearizer | 739c47c0d98d262a0bc962a450729bcf83c61212 | [
"MIT"
] | null | null | null | linearizer/utils.py | Max1993Liu/Linearizer | 739c47c0d98d262a0bc962a450729bcf83c61212 | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
from types import FunctionType
import warnings
from .transform import BaseTransformer
def drop_na(x, y, according='both'):
""" Drop the values in both x and y if the element in `according` is missing
ex. drop_na([1, 2, np.nan], [1, 2, 3], 'x') => [1, 2], [1, 2]
... | 31.637795 | 106 | 0.612245 |
099e97710e96accac9ae6950fc54a6209ae97168 | 821 | py | Python | lintcode/NineChapters/06/remove-duplicates-from-sorted-list-ii.py | shootsoft/practice | 49f28c2e0240de61d00e4e0291b3c5edd930e345 | [
"Apache-2.0"
] | null | null | null | lintcode/NineChapters/06/remove-duplicates-from-sorted-list-ii.py | shootsoft/practice | 49f28c2e0240de61d00e4e0291b3c5edd930e345 | [
"Apache-2.0"
] | null | null | null | lintcode/NineChapters/06/remove-duplicates-from-sorted-list-ii.py | shootsoft/practice | 49f28c2e0240de61d00e4e0291b3c5edd930e345 | [
"Apache-2.0"
] | null | null | null | __author__ = 'yinjun'
"""
Definition of ListNode
class ListNode(object):
def __init__(self, val, next=None):
self.val = val
self.next = next
"""
| 22.805556 | 61 | 0.504263 |
09a082c5b766d52ac4bd284843a07b1bfbf38eba | 325 | py | Python | testings.py | GYosifov88/Python-Fundamentals | b46ba2822bd2dac6ff46830c6a520e559b448442 | [
"MIT"
] | null | null | null | testings.py | GYosifov88/Python-Fundamentals | b46ba2822bd2dac6ff46830c6a520e559b448442 | [
"MIT"
] | null | null | null | testings.py | GYosifov88/Python-Fundamentals | b46ba2822bd2dac6ff46830c6a520e559b448442 | [
"MIT"
] | null | null | null |
vid = input()
object = Object(vid)
a = int(input())
b = int(input())
print(f'{object.square(a,b)}')
| 18.055556 | 35 | 0.52 |
09a0e0698bb4f209bcf75379d2f58d655b33426a | 809 | py | Python | argdeco/__main__.py | klorenz/python-argdeco | eb614d63430c5da68a972bdc40f8a1541070089d | [
"MIT"
] | null | null | null | argdeco/__main__.py | klorenz/python-argdeco | eb614d63430c5da68a972bdc40f8a1541070089d | [
"MIT"
] | null | null | null | argdeco/__main__.py | klorenz/python-argdeco | eb614d63430c5da68a972bdc40f8a1541070089d | [
"MIT"
] | null | null | null | from .main import Main
from .arguments import arg
from textwrap import dedent
main = Main()
command = main.command
main()
| 28.892857 | 100 | 0.700865 |
09a18d4b2a0fa8ae47cff0df35320c0b38f5b9e2 | 1,500 | py | Python | Resources/Python Example Files/Prior_move_rel.py | stephf0716/MATLAB-scanning-stage | a4f5e96b86d1c95bf16ff7262959b7c0f8b8e51d | [
"MIT"
] | null | null | null | Resources/Python Example Files/Prior_move_rel.py | stephf0716/MATLAB-scanning-stage | a4f5e96b86d1c95bf16ff7262959b7c0f8b8e51d | [
"MIT"
] | null | null | null | Resources/Python Example Files/Prior_move_rel.py | stephf0716/MATLAB-scanning-stage | a4f5e96b86d1c95bf16ff7262959b7c0f8b8e51d | [
"MIT"
] | null | null | null | # *********************************************************
# Relative Stage Movement
#
# Stephanie Fung 2014
# *********************************************************
# Import modules.
# ---------------------------------------------------------
import visa
import string
import struct
import sys
import serial
# =... | 25.862069 | 59 | 0.420667 |
09a1a281f097af89e78698b2962835021fca03c7 | 7,794 | py | Python | ratatosk/lib/tools/picard.py | SciLifeLab/ratatosk | 4e9c9d8dc868b19a7c70eb7b326422c87bc3d7c0 | [
"Apache-2.0"
] | null | null | null | ratatosk/lib/tools/picard.py | SciLifeLab/ratatosk | 4e9c9d8dc868b19a7c70eb7b326422c87bc3d7c0 | [
"Apache-2.0"
] | null | null | null | ratatosk/lib/tools/picard.py | SciLifeLab/ratatosk | 4e9c9d8dc868b19a7c70eb7b326422c87bc3d7c0 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2013 Per Unneberg
#
# 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,... | 41.903226 | 186 | 0.673723 |
09a25fafbbc8341875cf49512a6963ebb67af9a9 | 1,092 | py | Python | working-with-data/part1/reading-and-writing-text-files.py | LucasHelal/data-science | 9b243be1dea23a521e6ebb49dc358708a9b17dbd | [
"MIT"
] | null | null | null | working-with-data/part1/reading-and-writing-text-files.py | LucasHelal/data-science | 9b243be1dea23a521e6ebb49dc358708a9b17dbd | [
"MIT"
] | null | null | null | working-with-data/part1/reading-and-writing-text-files.py | LucasHelal/data-science | 9b243be1dea23a521e6ebb49dc358708a9b17dbd | [
"MIT"
] | null | null | null | import sys
import pandas as pd
# Can open csv files as a dataframe
dframe = pd.read_csv('lec25.csv')
# Can also use read_table with ',' as a delimiter
dframe = pd.read_table('lec25.csv', sep=',')
# If we dont want the header to be the first row
dframe = pd.read_csv('lec25.csv', header=None)
# We can also indicate a... | 28.736842 | 79 | 0.739011 |
09a28df0637d0c34e269ec275da4a8046d1b7543 | 385 | py | Python | python-framework/libs/crypto.py | huangxingx/python-framework | a62618b0ee5ecff9de426327892cdd690d10510d | [
"MIT"
] | 7 | 2019-10-24T03:26:22.000Z | 2019-10-27T14:55:07.000Z | python-framework/libs/crypto.py | PJoemu/python-framework | a62618b0ee5ecff9de426327892cdd690d10510d | [
"MIT"
] | 3 | 2021-06-08T19:13:10.000Z | 2022-01-13T00:38:48.000Z | python-framework/libs/crypto.py | PJoemu/python-framework | a62618b0ee5ecff9de426327892cdd690d10510d | [
"MIT"
] | 2 | 2019-10-25T03:54:51.000Z | 2020-06-28T08:50:12.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @author: x.huang
# @date:17-8-17
from Crypto.Hash import MD5
if __name__ == '__main__':
print(encrypto('arhieason'))
| 15.4 | 51 | 0.623377 |
09a2b27d6e9143175c3eaab5d912857ca2f60085 | 1,428 | py | Python | comments/urls.py | ggetzie/greaterdebater | fb1739f3db42717f3d63fe6c9dbf0c2402fb1fd5 | [
"MIT"
] | null | null | null | comments/urls.py | ggetzie/greaterdebater | fb1739f3db42717f3d63fe6c9dbf0c2402fb1fd5 | [
"MIT"
] | 1 | 2020-05-02T02:03:08.000Z | 2020-05-02T02:03:08.000Z | comments/urls.py | ggetzie/greaterdebater | fb1739f3db42717f3d63fe6c9dbf0c2402fb1fd5 | [
"MIT"
] | null | null | null |
from django.conf.urls import patterns
from comments.views import CommentDebateList
# This url file is included from items.urls with the prefix /comments/
urlpatterns = patterns('',
# Add a comment to a topic
(r'^(?P<topic_id>\d+)/add/$', 'comments.views.add'),
... | 42 | 93 | 0.464286 |
09a4876d8faaee60c05b563c48e7b9207133b300 | 2,022 | py | Python | src/engine/app.py | vxlk/stoinks | afea92824a21d203098dd41137957f2343ec363d | [
"MIT"
] | 1 | 2020-12-30T23:54:58.000Z | 2020-12-30T23:54:58.000Z | src/engine/app.py | vxlk/stoinks | afea92824a21d203098dd41137957f2343ec363d | [
"MIT"
] | null | null | null | src/engine/app.py | vxlk/stoinks | afea92824a21d203098dd41137957f2343ec363d | [
"MIT"
] | null | null | null | import sys
from threading import Thread
from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
from PyQt5.QtCore import *
from pyqtconsole.console import PythonConsole
from view.console import Console
from view.gui_dock import *
from util.logger import *
from model.engine import *
# clear logs
logge... | 27.69863 | 67 | 0.787834 |
09a62e7b8881c3b94a94393151fe47674d845dd0 | 845 | py | Python | Python/behavioral_patterns/command/history_command.py | ploukareas/Design-Patterns | 8effde38d73ae9058c3028c97ef395644a90d55b | [
"BSD-3-Clause",
"MIT"
] | 28 | 2018-09-28T07:45:35.000Z | 2022-02-12T12:25:05.000Z | Python/behavioral_patterns/command/history_command.py | ploukareas/Design-Patterns | 8effde38d73ae9058c3028c97ef395644a90d55b | [
"BSD-3-Clause",
"MIT"
] | null | null | null | Python/behavioral_patterns/command/history_command.py | ploukareas/Design-Patterns | 8effde38d73ae9058c3028c97ef395644a90d55b | [
"BSD-3-Clause",
"MIT"
] | 5 | 2021-05-10T23:19:55.000Z | 2022-03-04T20:26:35.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
from behavioral_patterns.command.command import Command
#
# Holder of the past commands
#
#
| 15.089286 | 55 | 0.502959 |
09a65708ef251f13b9781f1e9b250a16f7eb5521 | 8,710 | py | Python | Agents/agent.py | TylerJamesMalloy/bullet3 | e357853815c1e0297683218273de79e586b574c8 | [
"Zlib"
] | null | null | null | Agents/agent.py | TylerJamesMalloy/bullet3 | e357853815c1e0297683218273de79e586b574c8 | [
"Zlib"
] | null | null | null | Agents/agent.py | TylerJamesMalloy/bullet3 | e357853815c1e0297683218273de79e586b574c8 | [
"Zlib"
] | null | null | null | import logging, os, time, multiprocessing, sys, signal
logging.disable(logging.WARNING)
os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"
import tensorflow as tf
import gym
import pybullet, pybullet_envs, pybullet_data
import numpy as np
import pandas as pd
from stable_baselines.sac.policies import MlpPolicy
from stable_ba... | 46.57754 | 186 | 0.666475 |
09a9810fc20f0e86e48fafc4f5dbb9adb6c5702a | 1,274 | py | Python | ToDoApp/todo/urls.py | akmcinto/ToDoApp | 2176294c1cfc33a2e651f613f23922a2c8879a84 | [
"Apache-2.0"
] | null | null | null | ToDoApp/todo/urls.py | akmcinto/ToDoApp | 2176294c1cfc33a2e651f613f23922a2c8879a84 | [
"Apache-2.0"
] | null | null | null | ToDoApp/todo/urls.py | akmcinto/ToDoApp | 2176294c1cfc33a2e651f613f23922a2c8879a84 | [
"Apache-2.0"
] | null | null | null | """
Copyright 2016 Andrea McIntosh
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 i... | 39.8125 | 79 | 0.689953 |
09a9fcdb559137e2907018a24bc26f28eb5ecd69 | 81,886 | py | Python | froi/main.py | sunshineDrizzle/FreeROI | e2bae1a19835667988e9dbe4a1a88e5b2778d819 | [
"BSD-3-Clause"
] | 13 | 2016-02-12T05:10:23.000Z | 2021-01-13T01:40:12.000Z | froi/main.py | sunshineDrizzle/FreeROI | e2bae1a19835667988e9dbe4a1a88e5b2778d819 | [
"BSD-3-Clause"
] | 14 | 2015-05-04T05:56:45.000Z | 2021-01-24T11:49:13.000Z | froi/main.py | sunshineDrizzle/FreeROI | e2bae1a19835667988e9dbe4a1a88e5b2778d819 | [
"BSD-3-Clause"
] | 8 | 2016-03-07T06:29:51.000Z | 2017-10-30T13:59:27.000Z | # emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
"""Graphic User Interface."""
import sys
import os
import glob
import ConfigParser
from PyQt4.QtCore import *
from PyQt4.QtGui import *
from version import __version__
from algorithm.imtool import label... | 46.97992 | 120 | 0.591078 |
09aba896248f30069fcb0a73d80efae7ce718e1a | 975 | py | Python | class1/exercise6&7.py | linkdebian/pynet_course | e0de498078ab914b3535fa2ea5c2e71d6e3799fb | [
"Apache-2.0"
] | null | null | null | class1/exercise6&7.py | linkdebian/pynet_course | e0de498078ab914b3535fa2ea5c2e71d6e3799fb | [
"Apache-2.0"
] | null | null | null | class1/exercise6&7.py | linkdebian/pynet_course | e0de498078ab914b3535fa2ea5c2e71d6e3799fb | [
"Apache-2.0"
] | null | null | null | import yaml
import json
from pprint import pprint as pp
my_list = []
while True:
x = raw_input("Enter num or text to add to list or press enter to finish: ")
if not x: break
my_list.append(x)
my_list.append({})
while True:
y = raw_input("Enter the name of the key in the list or press enter to finish... | 20.744681 | 85 | 0.58359 |
09abc457e5bd1caa1d8046d6ee92bbfdae5edefe | 1,475 | py | Python | backend/naki/naki/model/digital_item.py | iimcz/emod | 432094c020247597a94e95f76cc524c20b68b685 | [
"MIT"
] | null | null | null | backend/naki/naki/model/digital_item.py | iimcz/emod | 432094c020247597a94e95f76cc524c20b68b685 | [
"MIT"
] | 6 | 2021-03-08T23:32:15.000Z | 2022-02-26T08:11:38.000Z | backend/naki/naki/model/digital_item.py | iimcz/emod | 432094c020247597a94e95f76cc524c20b68b685 | [
"MIT"
] | null | null | null | import colander
from sqlalchemy import Column, ForeignKey
from sqlalchemy.types import DateTime, Integer, Unicode, UnicodeText
from naki.model.meta import Base
| 34.302326 | 110 | 0.602034 |
09ae724cdc803309af6a236723605a5ad5b9d098 | 4,389 | py | Python | z3/labeled_dice.py | Wikunia/hakank | 030bc928d2efe8dcbc5118bda3f8ae9575d0fd13 | [
"MIT"
] | 279 | 2015-01-10T09:55:35.000Z | 2022-03-28T02:34:03.000Z | z3/labeled_dice.py | Wikunia/hakank | 030bc928d2efe8dcbc5118bda3f8ae9575d0fd13 | [
"MIT"
] | 10 | 2017-10-05T15:48:50.000Z | 2021-09-20T12:06:52.000Z | z3/labeled_dice.py | Wikunia/hakank | 030bc928d2efe8dcbc5118bda3f8ae9575d0fd13 | [
"MIT"
] | 83 | 2015-01-20T03:44:00.000Z | 2022-03-13T23:53:06.000Z | #!/usr/bin/python -u
# -*- coding: latin-1 -*-
#
# Labeled dice and Building block problems in Z3
#
# * Labeled dice
#
# From Jim Orlin 'Colored letters, labeled dice: a logic puzzle'
# http://jimorlin.wordpress.com/2009/02/17/colored-letters-labeled-dice-a-logic-puzzle/
# '''
# My daughter Jenn bough a puzzle... | 26.281437 | 99 | 0.549784 |
09af767430017771c3139a9ce09339ca19b87b16 | 2,741 | py | Python | samples/flat_sample/test.py | benlindsay/job_tree | 0cdb293fd166d8d1cd50e54ab090264029adf978 | [
"MIT"
] | null | null | null | samples/flat_sample/test.py | benlindsay/job_tree | 0cdb293fd166d8d1cd50e54ab090264029adf978 | [
"MIT"
] | null | null | null | samples/flat_sample/test.py | benlindsay/job_tree | 0cdb293fd166d8d1cd50e54ab090264029adf978 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (c) 2017 Ben Lindsay <benjlindsay@gmail.com>
from job_tree import job_tree
# Tier 1 is 3 values of VAR_1 (1, 2, and 3) found in 'tier_1.csv'
tier_1_csv_file = 'tier_1.csv'
# Tier 2 is 2 values of VAR_2 for each VAR_1, defined as a function of VAR_1
# Tier ... | 24.256637 | 79 | 0.549435 |
09b071406342703275a6a5f8df9c8ce73299146c | 1,602 | py | Python | scripts/ai/mle/test_ai.py | AlexGustafsson/word-frequencies | 21a73dc1e56770f5563f928b7e3943874c995bd9 | [
"Unlicense"
] | null | null | null | scripts/ai/mle/test_ai.py | AlexGustafsson/word-frequencies | 21a73dc1e56770f5563f928b7e3943874c995bd9 | [
"Unlicense"
] | null | null | null | scripts/ai/mle/test_ai.py | AlexGustafsson/word-frequencies | 21a73dc1e56770f5563f928b7e3943874c995bd9 | [
"Unlicense"
] | null | null | null | import pickle
import random
from argparse import ArgumentParser
# Requires NLTK to be installed:
# python3 -m pip install nltk
# python3 -c 'import nltk;nltk.download("punkt")'
# May be slow at first start due to NLTK preparing its dependencies
from nltk.tokenize.treebank import TreebankWordDetokenizer
from nltk.lm im... | 32.693878 | 115 | 0.692884 |
09b38cadc8a5b66d765f9f62596709fa7325c773 | 7,529 | py | Python | lib/common/render_utils.py | YuliangXiu/ICON | ece5a09aa2d56aec28017430e65a0352622a0f30 | [
"Intel"
] | 486 | 2021-12-16T03:13:31.000Z | 2022-03-30T04:26:48.000Z | lib/common/render_utils.py | YuliangXiu/ICON | ece5a09aa2d56aec28017430e65a0352622a0f30 | [
"Intel"
] | 33 | 2021-12-30T07:28:10.000Z | 2022-03-30T08:04:06.000Z | lib/common/render_utils.py | YuliangXiu/ICON | ece5a09aa2d56aec28017430e65a0352622a0f30 | [
"Intel"
] | 38 | 2021-12-17T10:55:01.000Z | 2022-03-30T23:25:39.000Z |
# -*- 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... | 33.914414 | 79 | 0.592376 |
09b41443c1ba334ee6ad9dc77418ea29db20354e | 456 | py | Python | merge_string.py | mrillusi0n/compete | ac798e2b1ff27abddd8bebf113d079228f038e56 | [
"MIT"
] | null | null | null | merge_string.py | mrillusi0n/compete | ac798e2b1ff27abddd8bebf113d079228f038e56 | [
"MIT"
] | null | null | null | merge_string.py | mrillusi0n/compete | ac798e2b1ff27abddd8bebf113d079228f038e56 | [
"MIT"
] | null | null | null | ######################### AABCAAADA
from collections import OrderedDict
def remove_duplicates(block):
"""
>>> remove_duplicates('AAB')
>>> 'AB'
"""
freq = OrderedDict()
for c in block:
freq[c] = freq.get(c, 0) + 1
return ''.join(freq.keys())
print(solve('AABCAAADA', 3))
| 18.24 | 65 | 0.58114 |
09b4cd6f2d42318aef248c6850aeea38ce8781bf | 335 | py | Python | src/art_of_geom/_util/_tmp.py | Mathverse/Art-of-Geometry | 8fd89fd3526f871815c38953580a48b017d39847 | [
"MIT"
] | 1 | 2021-12-25T01:16:10.000Z | 2021-12-25T01:16:10.000Z | src/art_of_geom/_util/_tmp.py | Mathverse/Art-of-Geometry | 8fd89fd3526f871815c38953580a48b017d39847 | [
"MIT"
] | null | null | null | src/art_of_geom/_util/_tmp.py | Mathverse/Art-of-Geometry | 8fd89fd3526f871815c38953580a48b017d39847 | [
"MIT"
] | null | null | null | __all__ = 'TMP_NAME_FACTORY', 'tmp_file_name', 'str_uuid'
import os
from tempfile import NamedTemporaryFile
from uuid import uuid4
TMP_NAME_FACTORY = tmp_file_name
| 17.631579 | 57 | 0.755224 |
09b5a2bb038f2cac57634bfef33f5cb085b77a89 | 48 | py | Python | tests/__init__.py | jebabi/controllerx | bc68cdd69e416880e6394b3ecf92522b3871e959 | [
"MIT"
] | 1 | 2020-02-28T17:26:36.000Z | 2020-02-28T17:26:36.000Z | tests/__init__.py | jebabi/controllerx | bc68cdd69e416880e6394b3ecf92522b3871e959 | [
"MIT"
] | null | null | null | tests/__init__.py | jebabi/controllerx | bc68cdd69e416880e6394b3ecf92522b3871e959 | [
"MIT"
] | null | null | null | import sys
sys.path.append("apps/controllerx")
| 12 | 35 | 0.770833 |
09b5d250f780316cd9c06c021e66be29bc76a8ed | 884 | py | Python | tests/views/test_is_component_field_model_or_unicorn_field.py | nerdoc/django-unicorn | e512b8f64f5c276a78127db9a05d9d5c042232d5 | [
"MIT"
] | 1 | 2021-12-21T16:20:49.000Z | 2021-12-21T16:20:49.000Z | tests/views/test_is_component_field_model_or_unicorn_field.py | teury/django-unicorn | 5e9142b8a7e13b862ece419d567e805cc783b517 | [
"MIT"
] | null | null | null | tests/views/test_is_component_field_model_or_unicorn_field.py | teury/django-unicorn | 5e9142b8a7e13b862ece419d567e805cc783b517 | [
"MIT"
] | 1 | 2022-02-10T07:47:01.000Z | 2022-02-10T07:47:01.000Z | from django_unicorn.components import UnicornView
from django_unicorn.views.utils import _is_component_field_model_or_unicorn_field
from example.coffee.models import Flavor
def test_type_hint():
component = TypeHintView(component_name="asdf", component_id="hjkl")
name = "model"
actual = _is_component_fi... | 27.625 | 81 | 0.7681 |
09bb144937911126f0899a4f90a8ca7646246b73 | 431 | py | Python | data_wrangling/data_manipulation/check_if_even.py | dkedar7/Notes | 08a9e710a774fd46ec525e0041c1cbd67fbe6c20 | [
"MIT"
] | 3 | 2021-05-28T09:00:56.000Z | 2021-12-21T01:12:20.000Z | data_wrangling/data_manipulation/check_if_even.py | dkedar7/Notes | 08a9e710a774fd46ec525e0041c1cbd67fbe6c20 | [
"MIT"
] | null | null | null | data_wrangling/data_manipulation/check_if_even.py | dkedar7/Notes | 08a9e710a774fd46ec525e0041c1cbd67fbe6c20 | [
"MIT"
] | null | null | null |
import pytest
testdata = [
(2, True),
(3, False),
(4, True),
(5, True) # We expect this test to fail
]
def check_if_even(a):
"""
Returns True if 'a' is an even number
"""
return a % 2 == 0
| 17.958333 | 61 | 0.612529 |
09bf7c1ce0c20840d83284f246ccdbf099539181 | 4,970 | py | Python | intvalpy/linear/system_properties.py | SShary/intvalpy | 42f4c8f6b23e6481f4032b0a0f7cc0d798fda3be | [
"MIT"
] | null | null | null | intvalpy/linear/system_properties.py | SShary/intvalpy | 42f4c8f6b23e6481f4032b0a0f7cc0d798fda3be | [
"MIT"
] | null | null | null | intvalpy/linear/system_properties.py | SShary/intvalpy | 42f4c8f6b23e6481f4032b0a0f7cc0d798fda3be | [
"MIT"
] | null | null | null | import numpy as np
from scipy.optimize import minimize
from intvalpy.MyClass import Interval
from intvalpy.intoper import zeros
def Uni(A, b, x=None, maxQ=False, x0=None, tol=1e-12, maxiter=1e3):
"""
Uni.
, maxQ=True .
Parameters:
A: Interval
.
... | 31.257862 | 86 | 0.547485 |
09bffb272321cfeba42574b90d3f77c2507d62be | 3,648 | py | Python | libcity/utils/GPS_utils.py | moghadas76/test_bigcity | 607b9602c5b1113b23e1830455e174b0901d7558 | [
"Apache-2.0"
] | 221 | 2021-09-06T03:33:31.000Z | 2022-03-28T05:36:49.000Z | libcity/utils/GPS_utils.py | moghadas76/test_bigcity | 607b9602c5b1113b23e1830455e174b0901d7558 | [
"Apache-2.0"
] | 43 | 2021-09-19T16:12:28.000Z | 2022-03-31T16:29:03.000Z | libcity/utils/GPS_utils.py | moghadas76/test_bigcity | 607b9602c5b1113b23e1830455e174b0901d7558 | [
"Apache-2.0"
] | 64 | 2021-09-06T07:56:10.000Z | 2022-03-25T08:48:35.000Z | import math
R_EARTH = 6371000 # meter
def angle2radian(angle):
"""
convert from an angle to a radian
:param angle: (float)
:return: radian (float)
"""
return math.radians(angle)
def spherical_law_of_cosines(phi1, lambda1, phi2, lambda2):
"""
calculate great circle distance with sp... | 32.283186 | 111 | 0.654331 |
09c01d1c28ae990e8cd5cd83a9d33b741fa6c805 | 1,154 | py | Python | python/docstring/__init__.py | liguohao96/template | 31648c4334bdce50cadcfc707c5f64c483e1abce | [
"MIT"
] | null | null | null | python/docstring/__init__.py | liguohao96/template | 31648c4334bdce50cadcfc707c5f64c483e1abce | [
"MIT"
] | null | null | null | python/docstring/__init__.py | liguohao96/template | 31648c4334bdce50cadcfc707c5f64c483e1abce | [
"MIT"
] | null | null | null | """
Python Template for docstring
-----------------------------
python.docstring is a package cotaining TEMPLATE for docstring in python.
usage:
>>> from python import docstring
>>> help(docstring)
>>> print(docstring.module_.__doc__)
>>> print(docstring.class_.__doc__)
>>> print(docstrin... | 31.189189 | 90 | 0.714905 |
09c0c79a0b5cfaa45266d9d9675a6a0f9435dae8 | 6,234 | py | Python | orwell/agent/main.py | dchilot/agent-server-game-python | ce8db9560047a06960343cc66a9eddb11e77f5a1 | [
"BSD-3-Clause"
] | null | null | null | orwell/agent/main.py | dchilot/agent-server-game-python | ce8db9560047a06960343cc66a9eddb11e77f5a1 | [
"BSD-3-Clause"
] | null | null | null | orwell/agent/main.py | dchilot/agent-server-game-python | ce8db9560047a06960343cc66a9eddb11e77f5a1 | [
"BSD-3-Clause"
] | null | null | null | import logging
import sys
import socket
from cliff.app import App
from cliff.command import Command
from cliff.commandmanager import CommandManager
def main(argv=sys.argv[1:]):
myapp = AgentApp()
return myapp.run(argv)
if ("__main__" == __name__):
sys.exit(main(sys.argv[1:])) # pragma: n... | 26.193277 | 76 | 0.611806 |
09c1b09e1644ac2346f010a7494eb66da023d9f8 | 88 | py | Python | yad2/encoders/__init__.py | odcinek/yad2 | 5ecf5073a7eb9651944837e33c083c4a1e7945bc | [
"MIT"
] | null | null | null | yad2/encoders/__init__.py | odcinek/yad2 | 5ecf5073a7eb9651944837e33c083c4a1e7945bc | [
"MIT"
] | null | null | null | yad2/encoders/__init__.py | odcinek/yad2 | 5ecf5073a7eb9651944837e33c083c4a1e7945bc | [
"MIT"
] | 1 | 2021-10-17T15:46:50.000Z | 2021-10-17T15:46:50.000Z | from format2 import Format2
from format40 import Format40
from format80 import Format80
| 22 | 29 | 0.863636 |
09c1d29d541d96d593332dafbd24a6cf449f04ba | 20,705 | py | Python | bin/scripts/findsnps_refalt.py | smozaffari/ASE | ad0013daf8505227d1818ba8f9e4ea6cc1fd0f4b | [
"Apache-2.0"
] | null | null | null | bin/scripts/findsnps_refalt.py | smozaffari/ASE | ad0013daf8505227d1818ba8f9e4ea6cc1fd0f4b | [
"Apache-2.0"
] | null | null | null | bin/scripts/findsnps_refalt.py | smozaffari/ASE | ad0013daf8505227d1818ba8f9e4ea6cc1fd0f4b | [
"Apache-2.0"
] | 1 | 2016-01-26T07:15:50.000Z | 2016-01-26T07:15:50.000Z |
import sys
import os
import gzip
import argparse
import numpy as np
import pysam
import util
import snptable
import tables
MAX_SEQS_DEFAULT = 64
MAX_SNPS_DEFAULT = 6
def parse_options():
parser = argparse.ArgumentParser(description="Looks for SNPs and indels "
... | 40.203883 | 205 | 0.543009 |
09c1f3727d6933c8c847df8d0be18f6dbfa8e1a9 | 25,145 | py | Python | bungieapi/generated/clients/group_v2.py | itemmanager/bungieapi | 0c4326f88ea0f28a1dcab683dc08c8d21c940fc1 | [
"MIT"
] | 5 | 2022-01-06T21:05:53.000Z | 2022-02-12T19:58:11.000Z | bungieapi/generated/clients/group_v2.py | itemmanager/bungieapi | 0c4326f88ea0f28a1dcab683dc08c8d21c940fc1 | [
"MIT"
] | 8 | 2021-12-25T02:40:56.000Z | 2022-03-28T03:31:41.000Z | bungieapi/generated/clients/group_v2.py | itemmanager/bungieapi | 0c4326f88ea0f28a1dcab683dc08c8d21c940fc1 | [
"MIT"
] | 1 | 2022-01-30T23:53:25.000Z | 2022-01-30T23:53:25.000Z | # generated by update to not change manually
import typing as t
from bungieapi.base import BaseClient, clean_query_value
from bungieapi.forge import forge
from bungieapi.generated.components.responses import (
CEListOfGroupOptionalConversationClientResponse,
DictionaryOfint32AndstringClientResponse,
ListOf... | 36.923642 | 197 | 0.643786 |
09c267a3cb1cc17f6f5bb5ef69492d09f87a64fa | 1,475 | py | Python | tests/test_models.py | jimimvp/CausalProb | 900527725ad43eac258df2b16ef93fd1643deb3a | [
"MIT"
] | 3 | 2021-11-04T16:37:45.000Z | 2022-03-08T10:24:19.000Z | tests/test_models.py | jimimvp/CausalProb | 900527725ad43eac258df2b16ef93fd1643deb3a | [
"MIT"
] | 13 | 2021-11-07T11:11:54.000Z | 2021-11-20T10:40:39.000Z | tests/test_models.py | jimimvp/CausalProb | 900527725ad43eac258df2b16ef93fd1643deb3a | [
"MIT"
] | 1 | 2021-11-17T21:40:49.000Z | 2021-11-17T21:40:49.000Z | from causalprob import CausalProb
import unittest
import jax.numpy as jnp
import numpy as np
| 39.864865 | 122 | 0.547119 |
09c2c4fe16627c25f8121510a450845e41ae70cc | 1,713 | py | Python | python/analysis/simulations/replot_as_bar.py | UKPLab/tacl2018-preference-convincing | 65eb1cd3bf76f8068889880e0f80178e790350ce | [
"Apache-2.0"
] | 13 | 2019-03-01T19:40:23.000Z | 2022-01-10T05:53:47.000Z | python/analysis/simulations/replot_as_bar.py | UKPLab/tacl2018-preference-convincing | 65eb1cd3bf76f8068889880e0f80178e790350ce | [
"Apache-2.0"
] | 12 | 2020-11-13T17:54:01.000Z | 2022-02-09T23:39:11.000Z | python/analysis/simulations/replot_as_bar.py | UKPLab/tacl2018-preference-convincing | 65eb1cd3bf76f8068889880e0f80178e790350ce | [
"Apache-2.0"
] | 5 | 2019-02-06T12:08:20.000Z | 2022-01-10T20:40:22.000Z | '''
Generate a bar chart with error bars -- might be easier to read than a line graph with error bars.
'''
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
if __name__ == '__main__':
figure_save_path = './results/synth2/'
filename = 'r_pairs_bar.pdf'
fig = None
cs = [1,3,10,20]... | 32.320755 | 119 | 0.624051 |
09c49181d3fdabb104e8b2473f43e07ce944fcb6 | 74 | py | Python | shapes-trainer/training_shapes_module/__init__.py | dakotaJang/shapes | 19ba73ad2a9b50b57cafca53560678273aeb7776 | [
"MIT"
] | 1 | 2019-02-02T11:46:55.000Z | 2019-02-02T11:46:55.000Z | shapes-trainer/training_shapes_module/__init__.py | dakotaJang/shapes | 19ba73ad2a9b50b57cafca53560678273aeb7776 | [
"MIT"
] | null | null | null | shapes-trainer/training_shapes_module/__init__.py | dakotaJang/shapes | 19ba73ad2a9b50b57cafca53560678273aeb7776 | [
"MIT"
] | null | null | null | from .loader import *
from .model import *
from .train_and_test import * | 24.666667 | 29 | 0.743243 |
09c6c74d8c24c276c440f25295526d610514d57d | 468 | py | Python | python-lab-file/78_tkintermenu.py | zshashz/py1729 | 3281ae2a20c665ebcc0d53840cc95143cbe6861b | [
"MIT"
] | 1 | 2021-01-22T09:03:59.000Z | 2021-01-22T09:03:59.000Z | python-lab-file/78_tkintermenu.py | zshashz/py1729 | 3281ae2a20c665ebcc0d53840cc95143cbe6861b | [
"MIT"
] | null | null | null | python-lab-file/78_tkintermenu.py | zshashz/py1729 | 3281ae2a20c665ebcc0d53840cc95143cbe6861b | [
"MIT"
] | 2 | 2021-05-04T11:29:38.000Z | 2021-11-03T13:09:48.000Z | # Program 77 : make Tkinter menu
from tkinter import *
from tkinter import *
root = Tk()
menu = Menu(root)
root.config(menu=menu)
filemenu = Menu(menu)
menu.add_cascade(label='File', menu=filemenu)
filemenu.add_command(label='New')
filemenu.add_command(label='Open...')
filemenu.add_separator()
filemenu.add_command(... | 23.4 | 53 | 0.75641 |
09c972c8ee2252231ba255a8d7fd24be9200e9e4 | 445 | py | Python | chat/tests/factories.py | gurupratap-matharu/chatylon | d23ce4b9fa3954ad49fc18647ccf54cd0cc73cf8 | [
"MIT"
] | 4 | 2020-11-16T01:53:17.000Z | 2021-09-01T06:02:31.000Z | chat/tests/factories.py | gurupratap-matharu/chatylon | d23ce4b9fa3954ad49fc18647ccf54cd0cc73cf8 | [
"MIT"
] | null | null | null | chat/tests/factories.py | gurupratap-matharu/chatylon | d23ce4b9fa3954ad49fc18647ccf54cd0cc73cf8 | [
"MIT"
] | null | null | null | import factory
from chat.models import Chat, ChatRoom
from users.factories import UserFactory
| 22.25 | 57 | 0.730337 |
09c9a15d0f7a17f53680be679c2a6066d5b21c97 | 1,335 | py | Python | tools/prepare_data.py | xrick/CTC_DySpeechCommands | d92cb97f7344fb5acdb6aa3fc3dfb7c022fffc6e | [
"MIT"
] | 74 | 2018-05-05T18:43:28.000Z | 2022-03-21T13:00:14.000Z | tools/prepare_data.py | xrick/CTC_DySpeechCommands | d92cb97f7344fb5acdb6aa3fc3dfb7c022fffc6e | [
"MIT"
] | 5 | 2018-07-20T16:18:57.000Z | 2021-01-26T11:52:31.000Z | tools/prepare_data.py | xrick/CTC_DySpeechCommands | d92cb97f7344fb5acdb6aa3fc3dfb7c022fffc6e | [
"MIT"
] | 21 | 2018-06-18T07:21:19.000Z | 2021-04-11T06:49:03.000Z | """Downloads the training dataset and removes bad samples.
"""
import csv
import os
import urllib.request
import tarfile
import glob
DATA_URL = 'http://download.tensorflow.org/data/speech_commands_v0.01.tar.gz'
TRAIN_DIR = '../dataset/train/audio/'
FILE_BAD = 'bad_samples.txt'
def maybe_download(data_url, dest_di... | 26.7 | 77 | 0.698876 |
09ca172ccac0fbc44db1af59fb9a28884f053bb0 | 162 | py | Python | remote_control/apps.py | adrienemery/auv-control-api | 44d04c070879be3a52633369886534657b2d67ca | [
"MIT"
] | null | null | null | remote_control/apps.py | adrienemery/auv-control-api | 44d04c070879be3a52633369886534657b2d67ca | [
"MIT"
] | 2 | 2016-08-03T00:37:37.000Z | 2016-08-03T00:46:12.000Z | remote_control/apps.py | adrienemery/auv-control | 44d04c070879be3a52633369886534657b2d67ca | [
"MIT"
] | null | null | null | from django.apps import AppConfig
| 18 | 37 | 0.734568 |
09caab87d8b63d185ae16695cb5079d8b60078ed | 4,232 | py | Python | Dashboard_Relay/tests/unit/api/test_authorization.py | weiwa6/SecValidation | e899b7aa3f46ded3b39aeb6a1eeab95cc8dc21b5 | [
"BSD-3-Clause"
] | null | null | null | Dashboard_Relay/tests/unit/api/test_authorization.py | weiwa6/SecValidation | e899b7aa3f46ded3b39aeb6a1eeab95cc8dc21b5 | [
"BSD-3-Clause"
] | null | null | null | Dashboard_Relay/tests/unit/api/test_authorization.py | weiwa6/SecValidation | e899b7aa3f46ded3b39aeb6a1eeab95cc8dc21b5 | [
"BSD-3-Clause"
] | null | null | null | from http import HTTPStatus
from authlib.jose import jwt
from pytest import fixture
from .utils import get_headers
from api.errors import AUTH_ERROR
def test_call_with_authorization_header_failure(
route, client,
authorization_errors_expected_payload
):
response = client.post(route)
a... | 27.660131 | 79 | 0.712193 |
09cbcab75f8e35ba54cb7a9b30b5581da605210d | 1,562 | py | Python | ops-implementations/ads-ml-service/app/gunicorn.init.py | IBM/open-prediction-service-hub | 8b7db98f46a81b731d0dddfde8e3fb6f91ebc71a | [
"Apache-2.0"
] | 1 | 2021-09-14T18:40:33.000Z | 2021-09-14T18:40:33.000Z | ops-implementations/ads-ml-service/app/gunicorn.init.py | IBM/open-prediction-service-hub | 8b7db98f46a81b731d0dddfde8e3fb6f91ebc71a | [
"Apache-2.0"
] | 7 | 2021-04-23T13:41:39.000Z | 2021-08-12T09:33:10.000Z | ops-implementations/ads-ml-service/app/gunicorn.init.py | IBM/open-prediction-service-hub | 8b7db98f46a81b731d0dddfde8e3fb6f91ebc71a | [
"Apache-2.0"
] | 5 | 2020-12-10T14:27:23.000Z | 2022-03-29T08:44:22.000Z | #!/usr/bin/env python3
#
# Copyright 2020 IBM
# 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 t... | 33.956522 | 111 | 0.734955 |
09cd5bd9b3afeaf12e00c4f547e27cdd27294e5a | 394 | py | Python | projecteuler/util/summation.py | Tenebrar/codebase | 59c9a35289fb29afedad0e3edd0519b67372ef9f | [
"Unlicense"
] | 1 | 2020-04-21T11:39:25.000Z | 2020-04-21T11:39:25.000Z | projecteuler/util/summation.py | Tenebrar/codebase | 59c9a35289fb29afedad0e3edd0519b67372ef9f | [
"Unlicense"
] | 7 | 2020-02-12T01:08:01.000Z | 2022-02-10T11:56:56.000Z | projecteuler/util/summation.py | Tenebrar/codebase | 59c9a35289fb29afedad0e3edd0519b67372ef9f | [
"Unlicense"
] | null | null | null | def sum_all_to(num: int) -> int:
""" Return the sum of all numbers up to and including the input number """
return num * (num + 1) // 2
def square_pyramidal_number(num: int) -> int:
""" Return the sum of the squares of all numbers up to and including the input number """
# https://en.wikipedia.org/wik... | 39.4 | 93 | 0.649746 |
09ce6912201c289c5c7f36b054105384590d7dc8 | 2,143 | py | Python | graphics/place_camera.py | bdemin/M113_Visualization | bf863af9dfc2902ae9123afeae8d5bd413a4bedb | [
"MIT"
] | null | null | null | graphics/place_camera.py | bdemin/M113_Visualization | bf863af9dfc2902ae9123afeae8d5bd413a4bedb | [
"MIT"
] | null | null | null | graphics/place_camera.py | bdemin/M113_Visualization | bf863af9dfc2902ae9123afeae8d5bd413a4bedb | [
"MIT"
] | null | null | null | import numpy as np
| 31.985075 | 133 | 0.585161 |
09cf011d62fddefba9f4507356da24e66db71898 | 16,405 | py | Python | src/tools/api_compiler/compiler.py | facade-technologies-inc/facile | 4c9134dced71734641fed605e152880cd9ddefe3 | [
"MIT"
] | 2 | 2020-09-17T20:51:18.000Z | 2020-11-03T15:58:10.000Z | src/tools/api_compiler/compiler.py | facade-technologies-inc/facile | 4c9134dced71734641fed605e152880cd9ddefe3 | [
"MIT"
] | 97 | 2020-08-26T05:07:08.000Z | 2022-03-28T16:01:49.000Z | src/tools/api_compiler/compiler.py | facade-technologies-inc/facile | 4c9134dced71734641fed605e152880cd9ddefe3 | [
"MIT"
] | null | null | null | """
..
/------------------------------------------------------------------------------\
| -- FACADE TECHNOLOGIES INC. CONFIDENTIAL -- |
|------------------------------------------------------------------------------|
| ... | 40.208333 | 120 | 0.585431 |
09d449514e9039bc5c41cf98d5932b80f0321669 | 898 | py | Python | TestSourceCode_Store/PIM_example_resize.py | leejaymin/QDroid | 13ff9d26932378513a7c9f0038eb59b922ed06eb | [
"Apache-2.0"
] | null | null | null | TestSourceCode_Store/PIM_example_resize.py | leejaymin/QDroid | 13ff9d26932378513a7c9f0038eb59b922ed06eb | [
"Apache-2.0"
] | null | null | null | TestSourceCode_Store/PIM_example_resize.py | leejaymin/QDroid | 13ff9d26932378513a7c9f0038eb59b922ed06eb | [
"Apache-2.0"
] | null | null | null | import sys
from PIL import Image
#import ImageChops
#import numpy as np
#import ImageChops
if __name__ == '__main__':
srcList = []
targetList = []
colorRate = []
avgColorRate = 0.0
sumColorRate = 0
validCount = 0
# image_src = '/root/Android_Application_source/recomended/0.png'
fir... | 26.411765 | 85 | 0.680401 |
09d4d5139b90907a08147b1f476920cdd503f04c | 15,484 | py | Python | src/testing/functionaltests/webtest.py | pgecsenyi/piepy | 37bf6cb5bc8c4f9da3f695216beda7353d79fb29 | [
"MIT"
] | 1 | 2018-03-26T22:39:36.000Z | 2018-03-26T22:39:36.000Z | src/testing/functionaltests/webtest.py | pgecsenyi/piepy | 37bf6cb5bc8c4f9da3f695216beda7353d79fb29 | [
"MIT"
] | null | null | null | src/testing/functionaltests/webtest.py | pgecsenyi/piepy | 37bf6cb5bc8c4f9da3f695216beda7353d79fb29 | [
"MIT"
] | null | null | null | """
Web unit tests
"""
# pylint: disable=too-many-public-methods
import time
import unittest
import requests
from testing.communicationhelper import get_json, put_json
from testing.functions import are_expected_items_in_list, are_expected_kv_pairs_in_list, \
get_item_from_embedded_dict... | 32.529412 | 120 | 0.58822 |
09d79f0d227847749db1ddb7eb6acbb60326e8b8 | 862 | py | Python | 10_Name_Card_Detection/pytorch-faster-rcnn/lib/datasets/factory.py | ZeroWeight/Pattern-Recognize | ce18ab7d218840978f546a94d02d4183c9dc1aac | [
"MIT"
] | 4 | 2018-07-30T01:46:22.000Z | 2019-04-09T12:23:52.000Z | 10_Name_Card_Detection/pytorch-faster-rcnn/lib/datasets/factory.py | ZeroWeight/Pattern-Recognize | ce18ab7d218840978f546a94d02d4183c9dc1aac | [
"MIT"
] | null | null | null | 10_Name_Card_Detection/pytorch-faster-rcnn/lib/datasets/factory.py | ZeroWeight/Pattern-Recognize | ce18ab7d218840978f546a94d02d4183c9dc1aac | [
"MIT"
] | 1 | 2020-02-25T05:09:06.000Z | 2020-02-25T05:09:06.000Z | # --------------------------------------------------------
# Fast R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick
# --------------------------------------------------------
"""Factory method for easily getting imdbs by name."""
__sets = {}
fro... | 29.724138 | 79 | 0.612529 |
09d9a6c70c2c9fb2475c65d8587c45d1e8aa1eb1 | 1,251 | py | Python | portafolio/core/views.py | breinerGiraldo/python | 89603d7ce0be8e2bb20817ee3c845fdb26a1b54a | [
"bzip2-1.0.6"
] | null | null | null | portafolio/core/views.py | breinerGiraldo/python | 89603d7ce0be8e2bb20817ee3c845fdb26a1b54a | [
"bzip2-1.0.6"
] | null | null | null | portafolio/core/views.py | breinerGiraldo/python | 89603d7ce0be8e2bb20817ee3c845fdb26a1b54a | [
"bzip2-1.0.6"
] | null | null | null | from django.shortcuts import render,HTTpResponse
# Create your views here.
| 39.09375 | 106 | 0.655476 |
09da5fe1886cdd50f1983ad7996a351fe7c5c4f5 | 257 | py | Python | setup.py | luphord/australian-housing-exercise | 441b8700cfe6d50742945b33d4f123dc6c497e5a | [
"MIT"
] | null | null | null | setup.py | luphord/australian-housing-exercise | 441b8700cfe6d50742945b33d4f123dc6c497e5a | [
"MIT"
] | null | null | null | setup.py | luphord/australian-housing-exercise | 441b8700cfe6d50742945b33d4f123dc6c497e5a | [
"MIT"
] | null | null | null | from setuptools import find_packages, setup
setup(
name='australian_housing',
packages=find_packages(),
version='0.2.1',
description='"A data science exercise on Australian house approvements"',
author='"luphord"',
license='MIT',
)
| 23.363636 | 77 | 0.696498 |
09dbc482da6f2620a0ec95d44dab6ffbe0c052f9 | 4,439 | py | Python | monopoly.py | michaelhutton/monopoly | d3adcf524dfb015dbdaaadf905ca8cc4396fde3e | [
"MIT"
] | null | null | null | monopoly.py | michaelhutton/monopoly | d3adcf524dfb015dbdaaadf905ca8cc4396fde3e | [
"MIT"
] | null | null | null | monopoly.py | michaelhutton/monopoly | d3adcf524dfb015dbdaaadf905ca8cc4396fde3e | [
"MIT"
] | null | null | null | import random
squares = [
"Go",
"Mediterranean Ave.",
"Community Chest",
"Baltic Ave.",
"Income Tax",
"Reading Railroad",
"Oriental Ave.",
"Chance",
"Vermont Ave.",
"Connecticut Ave.",
"Jail",
"St. Charles Place",
"Electric Company",
"States Ave.",
"Virginia ... | 29.593333 | 80 | 0.581437 |
09ddae526c3cd9bcfe820b2b4ae3706b5e1e7c32 | 7,769 | py | Python | coinzdense/app.py | pibara/coinzdense-python | f051770b71fa0afe935eb0d2079dab21eea9432d | [
"BSD-3-Clause"
] | null | null | null | coinzdense/app.py | pibara/coinzdense-python | f051770b71fa0afe935eb0d2079dab21eea9432d | [
"BSD-3-Clause"
] | null | null | null | coinzdense/app.py | pibara/coinzdense-python | f051770b71fa0afe935eb0d2079dab21eea9432d | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/python3
from coinzdense.signing import SigningKey as _SigningKey
from coinzdense.validation import ValidationEnv as _ValidationEnv
from coinzdense.wallet import create_wallet as _create_wallet
from coinzdense.wallet import open_wallet as _open_wallet
| 50.122581 | 132 | 0.635603 |
09de00e54d3860203b7729e1854754335ac141d7 | 1,296 | py | Python | src/asyncdataflow/inspector.py | tomaszkingukrol/async-data-flow | 1572ef101cb0e6a0f27a77401538a4620ee9939f | [
"Apache-2.0"
] | null | null | null | src/asyncdataflow/inspector.py | tomaszkingukrol/async-data-flow | 1572ef101cb0e6a0f27a77401538a4620ee9939f | [
"Apache-2.0"
] | null | null | null | src/asyncdataflow/inspector.py | tomaszkingukrol/async-data-flow | 1572ef101cb0e6a0f27a77401538a4620ee9939f | [
"Apache-2.0"
] | null | null | null | from collections.abc import Iterable
from typing import Callable, Tuple
import inspect
from .definition import DataFlowInspector
from .exceptions import DataFlowFunctionArgsError, DataFlowNotCallableError, DataFlowEmptyError, DataFlowNotTupleError
def _check_positional_or_keyword_args(func: Callable) -> bool:
... | 35.027027 | 118 | 0.655864 |
09e5ab892fd8685aedec11f8378615ed2931fa1c | 891 | py | Python | processing_pipeline/extractionless_registration.py | SijRa/Brain-Image-Analysis-using-Deep-Learning | a35411bda6e39eff57f715a695b7fb6a30997706 | [
"MIT"
] | 2 | 2022-01-04T16:54:20.000Z | 2022-01-24T03:01:14.000Z | processing_pipeline/extractionless_registration.py | SijRa/Brain-Image-Analysis-using-Deep-Learning | a35411bda6e39eff57f715a695b7fb6a30997706 | [
"MIT"
] | null | null | null | processing_pipeline/extractionless_registration.py | SijRa/Brain-Image-Analysis-using-Deep-Learning | a35411bda6e39eff57f715a695b7fb6a30997706 | [
"MIT"
] | 1 | 2020-07-05T09:30:11.000Z | 2020-07-05T09:30:11.000Z | from ants import registration, image_read, image_write, resample_image, crop_image
from os import listdir
mri_directory = "ADNI_baseline_raw/"
template_loc = "MNI152_2009/mni_icbm152_t1_tal_nlin_sym_09a.nii"
template = image_read(template_loc)
template = resample_image(template, (192, 192, 160), True, 4)
#template = ... | 40.5 | 89 | 0.751964 |
09e5f7e19923e048c28f58a87dbbfe0de36d4a04 | 362 | py | Python | 3rdparty/pytorch/torch/autograd/variable.py | WoodoLee/TorchCraft | 999f68aab9e7d50ed3ae138297226dc95fefc458 | [
"MIT"
] | 51 | 2020-01-26T23:32:57.000Z | 2022-03-20T14:49:57.000Z | 3rdparty/pytorch/torch/autograd/variable.py | WoodoLee/TorchCraft | 999f68aab9e7d50ed3ae138297226dc95fefc458 | [
"MIT"
] | 2 | 2020-12-19T20:00:28.000Z | 2021-03-03T20:22:45.000Z | 3rdparty/pytorch/torch/autograd/variable.py | WoodoLee/TorchCraft | 999f68aab9e7d50ed3ae138297226dc95fefc458 | [
"MIT"
] | 33 | 2020-02-18T16:15:48.000Z | 2022-03-24T15:12:05.000Z | import torch
from torch._six import with_metaclass
from torch._C import _ImperativeEngine as ImperativeEngine
Variable._execution_engine = ImperativeEngine()
| 22.625 | 75 | 0.79558 |
09e7e9329ecb594a1ce5f26cf6f1dcdac3d78aef | 15,237 | py | Python | sp_api/api/finances/models/shipment_item.py | lionsdigitalsolutions/python-amazon-sp-api | 7374523ebc65e2e01e37d03fc4009a44fabf2c3b | [
"MIT"
] | null | null | null | sp_api/api/finances/models/shipment_item.py | lionsdigitalsolutions/python-amazon-sp-api | 7374523ebc65e2e01e37d03fc4009a44fabf2c3b | [
"MIT"
] | null | null | null | sp_api/api/finances/models/shipment_item.py | lionsdigitalsolutions/python-amazon-sp-api | 7374523ebc65e2e01e37d03fc4009a44fabf2c3b | [
"MIT"
] | null | null | null | # coding: utf-8
"""
Selling Partner API for Finances
The Selling Partner API for Finances helps you obtain financial information relevant to a seller's business. You can obtain financial events for a given order, financial event group, or date range without having to wait until a statement period closes. You ... | 35.270833 | 377 | 0.671458 |
09e83bd920be035d9c74e3803047761cd01ba2d9 | 583 | py | Python | glycan_profiling/database/prebuilt/__init__.py | mstim/glycresoft | 1d305c42c7e6cba60326d8246e4a485596a53513 | [
"Apache-2.0"
] | 4 | 2019-04-26T15:47:57.000Z | 2021-04-20T22:53:58.000Z | glycan_profiling/database/prebuilt/__init__.py | mstim/glycresoft | 1d305c42c7e6cba60326d8246e4a485596a53513 | [
"Apache-2.0"
] | 8 | 2017-11-22T19:20:20.000Z | 2022-02-14T01:49:58.000Z | glycan_profiling/database/prebuilt/__init__.py | mstim/glycresoft | 1d305c42c7e6cba60326d8246e4a485596a53513 | [
"Apache-2.0"
] | 3 | 2017-11-21T18:05:28.000Z | 2021-09-23T18:38:33.000Z | from .utils import hypothesis_register
from . import heparin
from . import combinatorial_mammalian_n_linked
from . import glycosaminoglycan_linkers
from . import combinatorial_human_n_linked
from . import biosynthesis_human_n_linked
from . import biosynthesis_mammalian_n_linked
from . import human_mucin_o_linked
__al... | 27.761905 | 46 | 0.806175 |
09e84e1dd2d539b68ad7f9d464717d52336a5ae9 | 216 | py | Python | zhongyicheng/scripts/test.py | Chr0802/No-easy-summer1 | d8d88b8d025f039deca7c89518b63446e4f80567 | [
"MIT"
] | 2 | 2021-08-05T11:44:12.000Z | 2021-08-31T10:50:13.000Z | zhongyicheng/scripts/test.py | Chr0802/No-easy-summer1 | d8d88b8d025f039deca7c89518b63446e4f80567 | [
"MIT"
] | 1 | 2021-08-07T03:21:12.000Z | 2021-08-07T03:21:12.000Z | zhongyicheng/scripts/test.py | Chr0802/No-easy-summer1 | d8d88b8d025f039deca7c89518b63446e4f80567 | [
"MIT"
] | 8 | 2021-07-26T05:11:37.000Z | 2021-10-05T05:34:34.000Z | from elasticsearch import Elasticsearch
es = Elasticsearch([
{'host':'localhost','port':8200},
])
print(es.search(index='ename_test_multiprocess',body={"query":{"match":{"name":str(input())}}})['hits']['hits'])
| 30.857143 | 112 | 0.680556 |
09e89717699974cfa907e599273f2f898e6cc20f | 30 | py | Python | pastepdb/__init__.py | pooriaahmadi/pastepdb | 166b2e8614ee2ea6c8f2f804af23458defb4674a | [
"MIT"
] | 8 | 2021-03-17T10:48:49.000Z | 2021-04-06T08:16:04.000Z | pastepdb/__init__.py | pooriaahmadi/pastepdb | 166b2e8614ee2ea6c8f2f804af23458defb4674a | [
"MIT"
] | null | null | null | pastepdb/__init__.py | pooriaahmadi/pastepdb | 166b2e8614ee2ea6c8f2f804af23458defb4674a | [
"MIT"
] | null | null | null | from .pastepdb import pastepdb | 30 | 30 | 0.866667 |
09e89b2450d77d8cea8acdf70dfa8deb4095af90 | 3,370 | py | Python | my_plugins/youcompleteme/python/ycm/tests/diagnostic_interface_test.py | VirtualLG/vimrc | 33f961b0e465b852753479bc4aa0a32a6ff017cf | [
"MIT"
] | null | null | null | my_plugins/youcompleteme/python/ycm/tests/diagnostic_interface_test.py | VirtualLG/vimrc | 33f961b0e465b852753479bc4aa0a32a6ff017cf | [
"MIT"
] | null | null | null | my_plugins/youcompleteme/python/ycm/tests/diagnostic_interface_test.py | VirtualLG/vimrc | 33f961b0e465b852753479bc4aa0a32a6ff017cf | [
"MIT"
] | null | null | null | # Copyright (C) 2015-2018 YouCompleteMe contributors
#
# This file is part of YouCompleteMe.
#
# YouCompleteMe is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your opt... | 32.403846 | 77 | 0.625223 |
09e91e344b133bb70e9396f03df09da25b24a2b5 | 1,372 | py | Python | oa_zalo/zalo_base/migrations/0004_auto_20210714_0949.py | quandxbp/vnpt-ccos | 23d2bc3d3db2e0bce479e0ccfa62e13451306635 | [
"bzip2-1.0.6"
] | null | null | null | oa_zalo/zalo_base/migrations/0004_auto_20210714_0949.py | quandxbp/vnpt-ccos | 23d2bc3d3db2e0bce479e0ccfa62e13451306635 | [
"bzip2-1.0.6"
] | null | null | null | oa_zalo/zalo_base/migrations/0004_auto_20210714_0949.py | quandxbp/vnpt-ccos | 23d2bc3d3db2e0bce479e0ccfa62e13451306635 | [
"bzip2-1.0.6"
] | null | null | null | # Generated by Django 3.2.4 on 2021-07-14 02:49
from django.db import migrations, models
| 29.191489 | 74 | 0.559038 |
09e9f3d9309a9df34ab48cce11c67316c012a978 | 272 | py | Python | project/web/utils/docx_files.py | sirodeneko/pyProject | 02cd67df26decf7b0ec20d86a2bbb5bce9f4e369 | [
"MIT"
] | null | null | null | project/web/utils/docx_files.py | sirodeneko/pyProject | 02cd67df26decf7b0ec20d86a2bbb5bce9f4e369 | [
"MIT"
] | 1 | 2020-11-30T09:35:15.000Z | 2020-11-30T09:35:15.000Z | project/web/utils/docx_files.py | sirodeneko/pyProject | 02cd67df26decf7b0ec20d86a2bbb5bce9f4e369 | [
"MIT"
] | 1 | 2020-11-30T09:33:24.000Z | 2020-11-30T09:33:24.000Z | import json
import os
import re
import urllib.request
| 17 | 35 | 0.632353 |
09eadaf88e96e921514284415b829745e173d0ca | 708 | py | Python | pkgs/javusdev/javusdev/settings.py | quapka/javus | 577e0c2dabfaea39d7ffacd42100d8a5f4cd738c | [
"MIT"
] | 1 | 2020-09-22T01:38:21.000Z | 2020-09-22T01:38:21.000Z | pkgs/javusdev/javusdev/settings.py | petrs/javus | 6927c824d5e6b574a6a323c87bd5aa117eca5b00 | [
"MIT"
] | null | null | null | pkgs/javusdev/javusdev/settings.py | petrs/javus | 6927c824d5e6b574a6a323c87bd5aa117eca5b00 | [
"MIT"
] | 1 | 2020-07-26T07:20:47.000Z | 2020-07-26T07:20:47.000Z | import os
from pathlib import Path
PROJECT_ROOT = get_project_root()
PROJECT_SRC = get_project_src()
DATA = get_project_data()
JAVUS_ATTACKS_DIR = get_javus_attacks_dir()
| 23.6 | 83 | 0.728814 |
09edfb321e8839956c0dd18d657713402150647f | 2,043 | py | Python | examples/design_studies/ihm_fingergait/check_progress.py | cbteeple/somo | 53a1a94f7d9d624bc4c43e582c80f24a0e98df24 | [
"MIT"
] | null | null | null | examples/design_studies/ihm_fingergait/check_progress.py | cbteeple/somo | 53a1a94f7d9d624bc4c43e582c80f24a0e98df24 | [
"MIT"
] | null | null | null | examples/design_studies/ihm_fingergait/check_progress.py | cbteeple/somo | 53a1a94f7d9d624bc4c43e582c80f24a0e98df24 | [
"MIT"
] | null | null | null | # Be sure to run this file from the "palm_sweeps" folder
# cd examples/palm_sweeps
import os
import sys
from datetime import datetime
path = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", ".."))
sys.path.insert(0, path)
from somo.sweep import iter_utils
config_file = "sweeps/grid_diam_height.yam... | 29.185714 | 94 | 0.708762 |
09f226a5810e82fde46ce6d76eb7db7321ca355b | 3,998 | py | Python | Projects/Project 1/Handin/program.py | ymirthor/T-215-STY1 | b888da1e88c5aa16eac03353f525e9e0b9d901df | [
"MIT"
] | null | null | null | Projects/Project 1/Handin/program.py | ymirthor/T-215-STY1 | b888da1e88c5aa16eac03353f525e9e0b9d901df | [
"MIT"
] | null | null | null | Projects/Project 1/Handin/program.py | ymirthor/T-215-STY1 | b888da1e88c5aa16eac03353f525e9e0b9d901df | [
"MIT"
] | null | null | null | from collections import deque as LL
| 35.070175 | 79 | 0.598049 |
09f23dc12e2bcbc1428ea1ce895f4e644cb3aca4 | 2,449 | py | Python | utils/ion.py | karlstratos/EntityQuestions | c4969aa6ca464773c2c35ab0569ba5924320d8d9 | [
"MIT"
] | 103 | 2021-09-16T18:19:49.000Z | 2022-03-29T03:18:50.000Z | utils/ion.py | karlstratos/EntityQuestions | c4969aa6ca464773c2c35ab0569ba5924320d8d9 | [
"MIT"
] | 8 | 2021-09-25T00:00:37.000Z | 2022-03-24T01:01:35.000Z | utils/ion.py | karlstratos/EntityQuestions | c4969aa6ca464773c2c35ab0569ba5924320d8d9 | [
"MIT"
] | 10 | 2021-09-19T08:12:53.000Z | 2022-03-23T09:09:23.000Z | """
General framework for reading/writing data from/to files on
the local system.
"""
import json
import random
from pathlib import Path
###############################################################################
# FILE READING #################################################
####################... | 31 | 79 | 0.475704 |
09f240acbe9b8fa80d51945cdcc670845719d41c | 2,394 | py | Python | pg_methods/interfaces/state_processors.py | zafarali/policy-gradient-methods | f0d83a80ddc772dcad0c851aac9bfd41d436c274 | [
"MIT"
] | 28 | 2018-06-12T21:37:20.000Z | 2021-12-27T15:13:14.000Z | pg_methods/interfaces/state_processors.py | zafarali/policy-gradient-methods | f0d83a80ddc772dcad0c851aac9bfd41d436c274 | [
"MIT"
] | 3 | 2018-05-10T16:33:05.000Z | 2018-06-19T18:17:37.000Z | pg_methods/interfaces/state_processors.py | zafarali/policy-gradient-methods | f0d83a80ddc772dcad0c851aac9bfd41d436c274 | [
"MIT"
] | 7 | 2018-05-08T04:13:21.000Z | 2021-04-02T12:31:55.000Z | import gym
import torch
import numpy as np
from pg_methods.interfaces import common_interfaces as common
| 36.272727 | 102 | 0.575188 |
09f69dea9d9541fb1a471fe9f8d7ffca1d756933 | 3,935 | py | Python | tests/test_emlib.py | mjpekala/faster-membranes | f203fc8608603bc7b16a1abeac324d52e9dfe96a | [
"Apache-2.0"
] | null | null | null | tests/test_emlib.py | mjpekala/faster-membranes | f203fc8608603bc7b16a1abeac324d52e9dfe96a | [
"Apache-2.0"
] | null | null | null | tests/test_emlib.py | mjpekala/faster-membranes | f203fc8608603bc7b16a1abeac324d52e9dfe96a | [
"Apache-2.0"
] | null | null | null | """Unit test for emlib.py
To run:
PYTHONPATH=../src python test_emlib.py
"""
__author__ = "Mike Pekala"
__copyright__ = "Copyright 2015, JHU/APL"
__license__ = "Apache 2.0"
import unittest
import numpy as np
from sklearn.metrics import precision_recall_fscore_support as smetrics
import emlib
if __name__ ... | 33.067227 | 88 | 0.519695 |
09f80f8b20cbf9fab41433b7fb79cb311415a791 | 193 | py | Python | src/biopsykit/signals/imu/feature_extraction/__init__.py | Zwitscherle/BioPsyKit | 7200c5f1be75c20f53e1eb4c991aca1c89e3dd88 | [
"MIT"
] | 10 | 2020-11-05T13:34:55.000Z | 2022-03-11T16:20:10.000Z | src/biopsykit/signals/imu/feature_extraction/__init__.py | Zwitscherle/BioPsyKit | 7200c5f1be75c20f53e1eb4c991aca1c89e3dd88 | [
"MIT"
] | 14 | 2021-03-11T14:43:52.000Z | 2022-03-10T19:44:57.000Z | src/biopsykit/signals/imu/feature_extraction/__init__.py | Zwitscherle/BioPsyKit | 7200c5f1be75c20f53e1eb4c991aca1c89e3dd88 | [
"MIT"
] | 3 | 2021-09-13T13:14:38.000Z | 2022-02-19T09:13:25.000Z | """Module containing scripts for different feature extraction techniques from raw IMU data."""
from biopsykit.signals.imu.feature_extraction import static_moments
__all__ = ["static_moments"]
| 38.6 | 94 | 0.818653 |
09f91afeaca4a61947c025a6985fde971a2433a0 | 727 | py | Python | app/core/bluetooth/models.py | FHellmann/MLWTF | 582c3505d638907a848d5a6c739ee99981300f17 | [
"Apache-2.0"
] | null | null | null | app/core/bluetooth/models.py | FHellmann/MLWTF | 582c3505d638907a848d5a6c739ee99981300f17 | [
"Apache-2.0"
] | null | null | null | app/core/bluetooth/models.py | FHellmann/MLWTF | 582c3505d638907a848d5a6c739ee99981300f17 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
"""
Author: Fabio Hellmann <info@fabio-hellmann.de>
"""
from attr import s, ib
from attr.validators import instance_of
| 27.961538 | 114 | 0.68088 |
09f949d20672656308f4b25b2fb52c7d29555163 | 1,511 | py | Python | Algorithms_medium/1102. Path With Maximum Minimum Value.py | VinceW0/Leetcode_Python_solutions | 09e9720afce21632372431606ebec4129eb79734 | [
"Xnet",
"X11"
] | 4 | 2020-08-11T20:45:15.000Z | 2021-03-12T00:33:34.000Z | Algorithms_medium/1102. Path With Maximum Minimum Value.py | VinceW0/Leetcode_Python_solutions | 09e9720afce21632372431606ebec4129eb79734 | [
"Xnet",
"X11"
] | null | null | null | Algorithms_medium/1102. Path With Maximum Minimum Value.py | VinceW0/Leetcode_Python_solutions | 09e9720afce21632372431606ebec4129eb79734 | [
"Xnet",
"X11"
] | null | null | null | """
1102. Path With Maximum Minimum Value
Medium
Given a matrix of integers A with R rows and C columns, find the maximum score of a path starting at [0,0] and ending at [R-1,C-1].
The score of a path is the minimum value in that path. For example, the value of the path 8 4 5 9 is 4.
A path moves some number ... | 26.982143 | 154 | 0.536069 |
09f9da8e8fb3a2cb6c40b0627a6fdbf5844460e0 | 1,436 | py | Python | tests/extractor/test_factory.py | albertteoh/data_pipeline | a99f1c7412375b3e9f4115108fcdde517b2e71a6 | [
"Apache-2.0"
] | null | null | null | tests/extractor/test_factory.py | albertteoh/data_pipeline | a99f1c7412375b3e9f4115108fcdde517b2e71a6 | [
"Apache-2.0"
] | null | null | null | tests/extractor/test_factory.py | albertteoh/data_pipeline | a99f1c7412375b3e9f4115108fcdde517b2e71a6 | [
"Apache-2.0"
] | null | null | null | import pytest
import data_pipeline.db.factory as db_factory
import data_pipeline.extractor.factory as extractor_factory
import tests.unittest_utils as utils
import data_pipeline.constants.const as const
from pytest_mock import mocker
from data_pipeline.db.exceptions import UnsupportedDbTypeError
def test_build_unsu... | 34.190476 | 79 | 0.766017 |
09fa1379267ff36d7eaf0c8f04ba9a7c23bd124b | 3,424 | py | Python | suremco/tracker.py | modsim/SurEmCo | 71fc0cfc62f8733de93ee2736421574a154e3db3 | [
"BSD-2-Clause"
] | null | null | null | suremco/tracker.py | modsim/SurEmCo | 71fc0cfc62f8733de93ee2736421574a154e3db3 | [
"BSD-2-Clause"
] | null | null | null | suremco/tracker.py | modsim/SurEmCo | 71fc0cfc62f8733de93ee2736421574a154e3db3 | [
"BSD-2-Clause"
] | null | null | null | # SurEmCo - C++ tracker wrapper
import ctypes
from enum import IntEnum
import sys
import os
import numpy
import numpy.ctypeslib
| 29.517241 | 101 | 0.580023 |
09fa8917e01388a6694109a784fa133ce2d71a48 | 774 | py | Python | lianxi/abc.py | xuguoqiang1/qiang | a95f105897462a630d8312eabea6a0f905c3e3e1 | [
"MIT"
] | null | null | null | lianxi/abc.py | xuguoqiang1/qiang | a95f105897462a630d8312eabea6a0f905c3e3e1 | [
"MIT"
] | null | null | null | lianxi/abc.py | xuguoqiang1/qiang | a95f105897462a630d8312eabea6a0f905c3e3e1 | [
"MIT"
] | null | null | null | # coding=utf-8
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from config import Config
app = Flask(__name__)
app.config.from_object(Config)
db = SQLAlchemy(app)
if __name__ == '__main__':
db.create_all()
app.run() | 24.967742 | 62 | 0.682171 |
09fb1d9a7c357f2bc49fb2f43274b073bfff333e | 4,026 | py | Python | foreign_languages/anderson.py | ds-modules/NESTUD-190A | 54ca1cd9a8f369f48946147f72377f874738f7d5 | [
"MIT"
] | 6 | 2017-11-06T03:18:12.000Z | 2019-10-02T19:41:06.000Z | foreign_languages/anderson.py | admndrsn/NESTUD-190A | 54ca1cd9a8f369f48946147f72377f874738f7d5 | [
"MIT"
] | null | null | null | foreign_languages/anderson.py | admndrsn/NESTUD-190A | 54ca1cd9a8f369f48946147f72377f874738f7d5 | [
"MIT"
] | 2 | 2018-02-09T01:04:58.000Z | 2019-06-19T17:45:34.000Z | from IPython.core.display import display, HTML
import translation
| 31.209302 | 132 | 0.721063 |
61cb92b7eff849f550f556cfcf71f302f039dac7 | 1,315 | py | Python | landdox/core.py | natefduncan/landdox | 58908554034577cc20c6f89ee6056da90cbfbd4e | [
"MIT"
] | 1 | 2019-12-13T16:19:56.000Z | 2019-12-13T16:19:56.000Z | landdox/core.py | natefduncan/landdox | 58908554034577cc20c6f89ee6056da90cbfbd4e | [
"MIT"
] | null | null | null | landdox/core.py | natefduncan/landdox | 58908554034577cc20c6f89ee6056da90cbfbd4e | [
"MIT"
] | null | null | null | import requests
import json
import pandas as pd
import os
from .endpoints import *
| 26.3 | 62 | 0.580989 |
61cd1b7623e09e8563a60f3d87a7caf270f2faa2 | 589 | py | Python | src/signalplotter/qt/makePyUI.py | jowanpittevils/Databasemanager_Signalplotter | 993152ad15793054df2acf386eb1c9a76610b789 | [
"BSD-3-Clause"
] | null | null | null | src/signalplotter/qt/makePyUI.py | jowanpittevils/Databasemanager_Signalplotter | 993152ad15793054df2acf386eb1c9a76610b789 | [
"BSD-3-Clause"
] | null | null | null | src/signalplotter/qt/makePyUI.py | jowanpittevils/Databasemanager_Signalplotter | 993152ad15793054df2acf386eb1c9a76610b789 | [
"BSD-3-Clause"
] | null | null | null | #%%
uiNames = ['plotter_uiDesign']
makeUI(uiNames)
# %%
| 21.035714 | 69 | 0.50764 |
61cd45cf1541403e9fd5c523d38b1e30cb5cbcc0 | 1,640 | py | Python | scraper.py | mikeku1116/python-accupass-scraper | ad3301fde373ce68e55459ba5af0273599d25e37 | [
"MIT"
] | null | null | null | scraper.py | mikeku1116/python-accupass-scraper | ad3301fde373ce68e55459ba5af0273599d25e37 | [
"MIT"
] | null | null | null | scraper.py | mikeku1116/python-accupass-scraper | ad3301fde373ce68e55459ba5af0273599d25e37 | [
"MIT"
] | null | null | null | from selenium import webdriver
from webdriver_manager.chrome import ChromeDriverManager
from bs4 import BeautifulSoup
import pandas as pd
# ChromeChrome
browser = webdriver.Chrome(ChromeDriverManager().install())
browser.get(
"https://old.accupass.com/search/r/0/0/0/0/4/0/00010101/99991231?q=python")
soup = Beau... | 30.943396 | 111 | 0.65 |
61cea84c27bf7df9b0289ed47ffee2781ddbdc17 | 3,148 | py | Python | mpcontribs-users/mpcontribs/users/swf/pre_submission.py | josuav1/MPContribs | 3cbf0e83ba6cd749dd4fc988c9f6ad076b05f935 | [
"MIT"
] | 1 | 2019-07-03T04:38:58.000Z | 2019-07-03T04:38:58.000Z | mpcontribs-users/mpcontribs/users/swf/pre_submission.py | josuav1/MPContribs | 3cbf0e83ba6cd749dd4fc988c9f6ad076b05f935 | [
"MIT"
] | null | null | null | mpcontribs-users/mpcontribs/users/swf/pre_submission.py | josuav1/MPContribs | 3cbf0e83ba6cd749dd4fc988c9f6ad076b05f935 | [
"MIT"
] | 1 | 2019-07-03T04:39:04.000Z | 2019-07-03T04:39:04.000Z | from mpcontribs.config import mp_level01_titles
from mpcontribs.io.core.recdict import RecursiveDict
from mpcontribs.io.core.utils import clean_value, get_composition_from_string
from mpcontribs.users.utils import duplicate_check
| 43.123288 | 91 | 0.656607 |