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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
47bbb88fe7ad9a14195f7bde44006fac967ad0e2 | 2,044 | py | Python | python/datadb2/core/svc/build_db2_url.py | jiportilla/ontology | 8a66bb7f76f805c64fc76cfc40ab7dfbc1146f40 | [
"MIT"
] | null | null | null | python/datadb2/core/svc/build_db2_url.py | jiportilla/ontology | 8a66bb7f76f805c64fc76cfc40ab7dfbc1146f40 | [
"MIT"
] | null | null | null | python/datadb2/core/svc/build_db2_url.py | jiportilla/ontology | 8a66bb7f76f805c64fc76cfc40ab7dfbc1146f40 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
import os
from base import BaseObject
from base import CryptoBase
from base import FileIO
from datadb2.core.dmo import BaseDB2Client
class BuildDb2Url(BaseObject):
""" Create a DB2 connection """
__config_path = 'resources/config/db2/schemas.yml'
def __in... | 28.788732 | 81 | 0.581703 | 1,741 | 0.851761 | 0 | 0 | 828 | 0.405088 | 0 | 0 | 624 | 0.305284 |
47bbc3f593c6dfe99cc6291d9534d485f7b0f42d | 3,462 | py | Python | nussl/transformers/transformer_deep_clustering.py | KingStorm/nussl | 78edfdaad16845fc705cefb336a7e6e5923fbcd4 | [
"MIT"
] | 1 | 2018-10-22T19:30:45.000Z | 2018-10-22T19:30:45.000Z | dataHelper/nussl/transformers/transformer_deep_clustering.py | AleXander-Tsui/Audio-Localization-and-Seperation | 17d40e72b406d62ca5cb695938b50c6412f9524a | [
"MIT"
] | null | null | null | dataHelper/nussl/transformers/transformer_deep_clustering.py | AleXander-Tsui/Audio-Localization-and-Seperation | 17d40e72b406d62ca5cb695938b50c6412f9524a | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Deep Clustering modeller class
"""
from .. import torch_imported
if torch_imported:
import torch
import torch.nn as nn
import numpy as np
class TransformerDeepClustering(nn.Module):
"""
Transformer Class for deep clustering
"""
def __init__(s... | 33.941176 | 94 | 0.625361 | 3,261 | 0.941941 | 0 | 0 | 1,803 | 0.520797 | 0 | 0 | 607 | 0.175332 |
47bcdf89bfb403747fce6b37d8765b1f6f980172 | 431 | py | Python | ex067 - Tabuada v3.0.py | marvincosmo/Python-Curso-em-Video | 47ee3dd6423835e7bca159ffd7ee796423569176 | [
"MIT"
] | null | null | null | ex067 - Tabuada v3.0.py | marvincosmo/Python-Curso-em-Video | 47ee3dd6423835e7bca159ffd7ee796423569176 | [
"MIT"
] | null | null | null | ex067 - Tabuada v3.0.py | marvincosmo/Python-Curso-em-Video | 47ee3dd6423835e7bca159ffd7ee796423569176 | [
"MIT"
] | null | null | null | """ 67 - Faça um programa que mostre a tabuada de vários números, um de cada vez, para cada valor digitado pelo
usuário. O programa será interrompido quando o número solicitado for negativo. """
while True:
n = int(input('Informe um número para ver sua tabuada: '))
if n < 0:
break
print('-' * 13)
... | 33.153846 | 111 | 0.62645 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 290 | 0.6621 |
47be1f989acf928be71983840ea1023cdafbcb67 | 1,569 | py | Python | Gallery/views.py | munganyendesandrine/GalleryApp | cb17eca8b814f212c1b78925d957b40380830f9b | [
"Unlicense",
"MIT"
] | null | null | null | Gallery/views.py | munganyendesandrine/GalleryApp | cb17eca8b814f212c1b78925d957b40380830f9b | [
"Unlicense",
"MIT"
] | null | null | null | Gallery/views.py | munganyendesandrine/GalleryApp | cb17eca8b814f212c1b78925d957b40380830f9b | [
"Unlicense",
"MIT"
] | null | null | null | from django.shortcuts import render
from django.http import HttpResponse
from .models import Image,Category,Location
def gallery_today(request):
gallery = Image.objects.all()
return render(request, 'all-galleries/today-gallery.html', {"gallery": gallery})
def search_results(request):
if 'category' in... | 34.108696 | 105 | 0.662843 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 663 | 0.422562 |
47bf6e3c9c36dabf9fe1d3cb252c2d9d2f56f9af | 843 | py | Python | tests/tests_query_operations/table_models.py | Robinson04/StructNoSQL | 335c63593025582336bb67ad0b0ed39d30800b74 | [
"MIT"
] | 3 | 2020-10-30T23:31:26.000Z | 2022-03-30T21:48:40.000Z | tests/tests_query_operations/table_models.py | Robinson04/StructNoSQL | 335c63593025582336bb67ad0b0ed39d30800b74 | [
"MIT"
] | 42 | 2020-09-16T15:23:11.000Z | 2021-09-20T13:00:50.000Z | tests/tests_query_operations/table_models.py | Robinson04/StructNoSQL | 335c63593025582336bb67ad0b0ed39d30800b74 | [
"MIT"
] | 2 | 2021-01-03T21:37:22.000Z | 2021-08-12T20:28:52.000Z | from typing import Dict
from StructNoSQL import TableDataModel, BaseField, MapModel
class BaseTableModel(TableDataModel):
type = BaseField(field_type=str, required=False)
fieldOne = BaseField(field_type=str, required=False)
fieldTwo = BaseField(field_type=str, required=False)
class ContainerModel(MapM... | 42.15 | 104 | 0.778173 | 752 | 0.892052 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0.016607 |
47c00f796dfbf64fa498d1661e0430227f50240a | 3,301 | py | Python | __init__.py | mchorse/io_export_bobj | 2de7a55c59a5e4ece5ae047cceaa16da94272685 | [
"CNRI-Python"
] | 2 | 2021-10-04T17:03:20.000Z | 2021-12-07T20:20:49.000Z | __init__.py | mchorse/io_export_bobj | 2de7a55c59a5e4ece5ae047cceaa16da94272685 | [
"CNRI-Python"
] | null | null | null | __init__.py | mchorse/io_export_bobj | 2de7a55c59a5e4ece5ae047cceaa16da94272685 | [
"CNRI-Python"
] | null | null | null | # ##### BEGIN GPL LICENSE BLOCK #####
#
# This program 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 2
# of the License, or (at your option) any later version.
#
# This program is distrib... | 39.771084 | 131 | 0.723417 | 1,276 | 0.38655 | 0 | 0 | 0 | 0 | 0 | 0 | 1,524 | 0.461678 |
47c2fc4cc67997a7602b32b94d673235ee2e4478 | 1,303 | py | Python | dashboard/migrations/0010_auto_20191214_1611.py | BDALab/GENEActiv-sleep-analyses-system | f0458de041153f2dee240a53571149827de00a2e | [
"MIT"
] | null | null | null | dashboard/migrations/0010_auto_20191214_1611.py | BDALab/GENEActiv-sleep-analyses-system | f0458de041153f2dee240a53571149827de00a2e | [
"MIT"
] | null | null | null | dashboard/migrations/0010_auto_20191214_1611.py | BDALab/GENEActiv-sleep-analyses-system | f0458de041153f2dee240a53571149827de00a2e | [
"MIT"
] | null | null | null | # Generated by Django 2.2.5 on 2019-12-14 15:11
import django.utils.timezone
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('dashboard', '0009_auto_20191211_2107'),
]
operations = [
migrations.RemoveField(
model_name='subjec... | 32.575 | 161 | 0.593246 | 1,181 | 0.90637 | 0 | 0 | 0 | 0 | 0 | 0 | 293 | 0.224866 |
47c5b5de088c43f83c5e3e066561ed05afd513fb | 1,666 | py | Python | select_language.py | zhangenter/tetris | 300c668d9732cd037bfc6f47c289bd5ee4a009b2 | [
"Apache-2.0"
] | 3 | 2019-05-08T14:49:10.000Z | 2021-01-20T13:22:45.000Z | select_language.py | zhangenter/tetris | 300c668d9732cd037bfc6f47c289bd5ee4a009b2 | [
"Apache-2.0"
] | null | null | null | select_language.py | zhangenter/tetris | 300c668d9732cd037bfc6f47c289bd5ee4a009b2 | [
"Apache-2.0"
] | 2 | 2020-01-28T14:37:06.000Z | 2020-04-03T13:37:14.000Z | # -*- coding=utf-8 -*-
import pygame
from bf_form import BFForm
from bf_button import BFButton
from globals import LanguageConfigParser, LanguageLib
class SelectLanguageForm(BFForm):
def __init__(self, screen, after_close):
super(SelectLanguageForm, self).__init__(screen, after_close)
def select_langu... | 35.446809 | 137 | 0.660264 | 1,512 | 0.907563 | 0 | 0 | 0 | 0 | 0 | 0 | 53 | 0.031813 |
47c64ebe5bf8c8e7b695f55fd8ecece7fcce4585 | 3,084 | py | Python | SpellingCorrection/SpellingCorrection.py | kxu776/Natural-Langauge-Processing | 61c863e6cccf6d745b7bfc630a803dcec89214a1 | [
"MIT"
] | null | null | null | SpellingCorrection/SpellingCorrection.py | kxu776/Natural-Langauge-Processing | 61c863e6cccf6d745b7bfc630a803dcec89214a1 | [
"MIT"
] | null | null | null | SpellingCorrection/SpellingCorrection.py | kxu776/Natural-Langauge-Processing | 61c863e6cccf6d745b7bfc630a803dcec89214a1 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Thu Oct 4 14:09:44 2018
@author: VeNoMzZxHD
"""
import tkinter
from tkinter.filedialog import askopenfilename
from collections import Counter
import re
import string
#Returns string of text file
def readFile():
'''
tkinter.Tk().withdraw()
inputfilename = askopenfil... | 28.293578 | 97 | 0.648508 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 539 | 0.174773 |
47c7ce2b3e6297aeb01c2a6dd339609f2dbc4c40 | 9,826 | py | Python | src/derivation/FactNode.py | KDahlgren/orik | 4e66107cf2dc2cd1a30ba4bfbe15c1ad1c176c0f | [
"MIT"
] | 2 | 2018-01-23T22:08:32.000Z | 2018-03-11T18:32:53.000Z | src/derivation/FactNode.py | KDahlgren/orik | 4e66107cf2dc2cd1a30ba4bfbe15c1ad1c176c0f | [
"MIT"
] | 4 | 2017-10-24T19:13:40.000Z | 2018-06-05T22:16:45.000Z | src/derivation/FactNode.py | KDahlgren/orik | 4e66107cf2dc2cd1a30ba4bfbe15c1ad1c176c0f | [
"MIT"
] | 2 | 2017-10-24T18:55:45.000Z | 2018-01-26T05:11:38.000Z | #!/usr/bin/env python
# **************************************** #
#############
# IMPORTS #
#############
# standard python packages
import ConfigParser, copy, inspect, logging, os, sys
from Node import Node
if not os.path.abspath( __file__ + "/../../../lib/iapyx/src" ) in sys.path :
sys.path.append( os.path.ab... | 32.006515 | 134 | 0.479849 | 9,353 | 0.951862 | 0 | 0 | 0 | 0 | 0 | 0 | 3,309 | 0.33676 |
47c7ee324c762d85e146cce680e1d27dab07ca7e | 219 | py | Python | freezegame/ladder.py | mattfister/pybacon | c864e5f5c872f92b3c694f0ef83feb0f20f93193 | [
"MIT"
] | 2 | 2017-02-06T14:49:48.000Z | 2021-03-20T08:19:01.000Z | freezegame/ladder.py | mattfister/pybacon | c864e5f5c872f92b3c694f0ef83feb0f20f93193 | [
"MIT"
] | null | null | null | freezegame/ladder.py | mattfister/pybacon | c864e5f5c872f92b3c694f0ef83feb0f20f93193 | [
"MIT"
] | 2 | 2017-11-04T10:13:59.000Z | 2020-04-24T05:15:33.000Z | from freezegame.sprite import Sprite
class Ladder(Sprite):
def __init__(self, x, y, state):
Sprite.__init__(self, x, y, [0, 0, 32, 32], state, 'tileSet', [0, 160, 32, 32], state.batch, state.ladder_group)
| 31.285714 | 120 | 0.657534 | 179 | 0.817352 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0.041096 |
47ca2154dad4d9f3a8ceb261cf0f46981b5b61af | 2,656 | py | Python | sector/models.py | uktrade/invest | 15b84c511839b46e81608fca9762d2df3f6df16c | [
"MIT"
] | 1 | 2019-01-18T03:50:46.000Z | 2019-01-18T03:50:46.000Z | sector/models.py | uktrade/invest | 15b84c511839b46e81608fca9762d2df3f6df16c | [
"MIT"
] | 50 | 2018-01-24T18:04:08.000Z | 2019-01-03T03:30:30.000Z | sector/models.py | uktrade/invest | 15b84c511839b46e81608fca9762d2df3f6df16c | [
"MIT"
] | 2 | 2018-02-12T15:20:52.000Z | 2019-01-18T03:51:52.000Z | from django.db import models
from wagtail.admin.edit_handlers import FieldPanel, StreamFieldPanel
from wagtail.core.blocks import StructBlock, CharBlock
from wagtail.core.fields import StreamField
from wagtail.core.models import Page
from wagtail.images.edit_handlers import ImageChooserPanel
from wagtailmarkdown.block... | 29.511111 | 73 | 0.657756 | 2,182 | 0.821536 | 0 | 0 | 0 | 0 | 0 | 0 | 476 | 0.179217 |
47ca616f814b4735648b4fa4271fc547d28d5fca | 44 | py | Python | serve.py | xsblanket/sweetie | cce71db39961fa017f888afef756f3522f549716 | [
"MIT"
] | null | null | null | serve.py | xsblanket/sweetie | cce71db39961fa017f888afef756f3522f549716 | [
"MIT"
] | 2 | 2021-03-16T10:28:33.000Z | 2021-03-17T09:11:37.000Z | serve.py | xsblanket/sweetie | cce71db39961fa017f888afef756f3522f549716 | [
"MIT"
] | 1 | 2021-03-16T10:03:19.000Z | 2021-03-16T10:03:19.000Z | from utility.sweetie import serve
serve() | 14.666667 | 34 | 0.772727 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
47ca87bbbe5378196163b9f006e09077555d7b34 | 985 | py | Python | output/models/nist_data/atomic/id/schema_instance/nistschema_sv_iv_atomic_id_enumeration_5_xsd/nistschema_sv_iv_atomic_id_enumeration_5.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 1 | 2021-08-14T17:59:21.000Z | 2021-08-14T17:59:21.000Z | output/models/nist_data/atomic/id/schema_instance/nistschema_sv_iv_atomic_id_enumeration_5_xsd/nistschema_sv_iv_atomic_id_enumeration_5.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 4 | 2020-02-12T21:30:44.000Z | 2020-04-15T20:06:46.000Z | output/models/nist_data/atomic/id/schema_instance/nistschema_sv_iv_atomic_id_enumeration_5_xsd/nistschema_sv_iv_atomic_id_enumeration_5.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | null | null | null | from dataclasses import dataclass, field
from enum import Enum
from typing import Optional
__NAMESPACE__ = "NISTSchema-SV-IV-atomic-ID-enumeration-5-NS"
class NistschemaSvIvAtomicIdEnumeration5Type(Enum):
BA = "ba"
CA = "ca"
EFOR = "efor"
HREGISTRY_AS_ON_WORK_U = "hregistry.as.on-work.u"
ITS_INCL... | 22.906977 | 68 | 0.636548 | 800 | 0.812183 | 0 | 0 | 640 | 0.649746 | 0 | 0 | 277 | 0.281218 |
47cc63cf4b5393de155d0003d5754fcb3e06068b | 889 | py | Python | tests/test_http_requests.py | andreygrechin/umbr_api | e9efd734a7395d25a1bab87c861b2cfee61e6a05 | [
"MIT"
] | 4 | 2021-01-11T02:14:59.000Z | 2022-02-15T09:20:25.000Z | tests/test_http_requests.py | andreygrechin/umbr_api | e9efd734a7395d25a1bab87c861b2cfee61e6a05 | [
"MIT"
] | null | null | null | tests/test_http_requests.py | andreygrechin/umbr_api | e9efd734a7395d25a1bab87c861b2cfee61e6a05 | [
"MIT"
] | 2 | 2021-12-14T10:20:00.000Z | 2022-02-20T01:05:18.000Z | #!/usr/bin/env python3
# pylint: disable=no-self-use
"""Test unit."""
import unittest
class TestCase(unittest.TestCase):
"""Main class."""
def test_send_post(self):
"""Call incorrect send_post, get None.""" # import requests
from umbr_api._http_requests import send_post
response = ... | 25.4 | 70 | 0.651294 | 750 | 0.843645 | 0 | 0 | 0 | 0 | 0 | 0 | 278 | 0.312711 |
47cd00f1c6e6fe88e15b29bda7971944f1ec4024 | 2,127 | py | Python | mylast.py | JohnTocher/descrobbler | 0bca4d05e0029b63d11fe615e933362cadb30c11 | [
"Apache-2.0"
] | null | null | null | mylast.py | JohnTocher/descrobbler | 0bca4d05e0029b63d11fe615e933362cadb30c11 | [
"Apache-2.0"
] | null | null | null | mylast.py | JohnTocher/descrobbler | 0bca4d05e0029b63d11fe615e933362cadb30c11 | [
"Apache-2.0"
] | null | null | null | ''' this file creates the objects used to access the scrobbling service api
No actual creds should be stored here!
This module will be imported and used by the main code
'''
import os
import sys
import pylast
try:
API_KEY = os.environ["LASTFM_API_KEY"]
API_SECRET = os.environ["LASTFM_API_SECRET"]
ex... | 29.136986 | 77 | 0.686883 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 896 | 0.420066 |
47cd0ed87b30c0eeeb6aca7161bf214f8970893c | 4,802 | py | Python | sharpenCommander/dlgFind.py | cjng96/sharpenCommander | 0d3a95dccc617481d9976789feffc115520243e6 | [
"Apache-2.0"
] | null | null | null | sharpenCommander/dlgFind.py | cjng96/sharpenCommander | 0d3a95dccc617481d9976789feffc115520243e6 | [
"Apache-2.0"
] | null | null | null | sharpenCommander/dlgFind.py | cjng96/sharpenCommander | 0d3a95dccc617481d9976789feffc115520243e6 | [
"Apache-2.0"
] | null | null | null |
import os
import urwid
from .globalBase import *
from .urwidHelper import *
from .tool import *
#import dc
from .myutil import *
class DlgFind(cDialog):
def __init__(self, onExit=None):
super().__init__()
self.onExit = onExit
self.widgetFileList = mListBox(urwid.SimpleFocusListWalker(btn... | 27.44 | 106 | 0.659933 | 4,652 | 0.968763 | 0 | 0 | 0 | 0 | 0 | 0 | 764 | 0.1591 |
47cf4c7848eb2692961ae1f8fb2074a86bde0da7 | 8,595 | py | Python | Code to apply on BS output/Python/makeTtests.py | albertocottica/community-management-simulator | e942f854f41705fcb114a79308536a2765896e60 | [
"MIT"
] | null | null | null | Code to apply on BS output/Python/makeTtests.py | albertocottica/community-management-simulator | e942f854f41705fcb114a79308536a2765896e60 | [
"MIT"
] | null | null | null | Code to apply on BS output/Python/makeTtests.py | albertocottica/community-management-simulator | e942f854f41705fcb114a79308536a2765896e60 | [
"MIT"
] | null | null | null | # runs t-tests over the null hypothesis
# avg_gini if (priority == "newer") == avg_gini if (priority == "more active")
import csv
import numpy as np
from scipy.stats import ttest_ind
from scipy.special import stdtr
def readCsvFile(fileName):
'''
(string) => list of dicts
Read the file called fileName a... | 47.225275 | 118 | 0.532984 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,993 | 0.348226 |
47d18703506147df7e77ebf700589e58f57e4508 | 350 | py | Python | running_sum.py | erjan/coding_exercises | 53ba035be85f1e7a12b4d4dbf546863324740467 | [
"Apache-2.0"
] | null | null | null | running_sum.py | erjan/coding_exercises | 53ba035be85f1e7a12b4d4dbf546863324740467 | [
"Apache-2.0"
] | null | null | null | running_sum.py | erjan/coding_exercises | 53ba035be85f1e7a12b4d4dbf546863324740467 | [
"Apache-2.0"
] | null | null | null | '''
Given an array nums. We define a running sum of an array as runningSum[i] = sum(nums[0]…nums[i]).
Return the running sum of nums.
'''
class Solution:
def runningSum(self, nums: List[int]) -> List[int]:
res = list()
for i in range(len(nums)):
res.append(sum(nums[:(i+1)]))
... | 21.875 | 97 | 0.58 | 208 | 0.590909 | 0 | 0 | 0 | 0 | 0 | 0 | 140 | 0.397727 |
47d20ca2d18b88c21b0a0f588589e8dcfe03114e | 81 | py | Python | examples/import.py | vic/typhon | 72b8ceb34f431d93321fee6046b08094afbc213c | [
"BSD-3-Clause"
] | 14 | 2015-01-06T10:59:09.000Z | 2021-01-09T17:57:52.000Z | examples/import.py | vic/typhon | 72b8ceb34f431d93321fee6046b08094afbc213c | [
"BSD-3-Clause"
] | 1 | 2017-04-08T17:35:03.000Z | 2017-04-08T17:35:03.000Z | examples/import.py | vic/typhon | 72b8ceb34f431d93321fee6046b08094afbc213c | [
"BSD-3-Clause"
] | 3 | 2015-05-09T15:16:37.000Z | 2016-01-26T07:57:59.000Z | # -*- coding: utf-8 -*-
import imported
import foo.bar
print(imported.__doc__)
| 11.571429 | 23 | 0.691358 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0.283951 |
47d397381f542a9f03743386be3039bce2cd0248 | 9,576 | py | Python | participants_codes/konnectomics/utils/submission.py | orlandi/connectomicsPerspectivesPaper | 98060e613d58c8e1ef9d14eb213439ae4cb8272b | [
"MIT"
] | null | null | null | participants_codes/konnectomics/utils/submission.py | orlandi/connectomicsPerspectivesPaper | 98060e613d58c8e1ef9d14eb213439ae4cb8272b | [
"MIT"
] | null | null | null | participants_codes/konnectomics/utils/submission.py | orlandi/connectomicsPerspectivesPaper | 98060e613d58c8e1ef9d14eb213439ae4cb8272b | [
"MIT"
] | null | null | null | # Copyright 2014 Alistair Muldal <alistair.muldal@pharm.ox.ac.uk>
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# Th... | 29.018182 | 80 | 0.611529 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5,650 | 0.590017 |
47d3c6d2f3f9ad6b0e3ffc64b6de5590845ebff4 | 30,949 | py | Python | MagiskPatcher.py | affggh/Magisk_patcher | 77b7a90c821d45e0b090ee1905dfbca7028e9ac2 | [
"Apache-2.0"
] | 19 | 2022-01-27T11:12:43.000Z | 2022-03-06T00:09:47.000Z | MagiskPatcher.py | affggh/Magisk_patcher | 77b7a90c821d45e0b090ee1905dfbca7028e9ac2 | [
"Apache-2.0"
] | null | null | null | MagiskPatcher.py | affggh/Magisk_patcher | 77b7a90c821d45e0b090ee1905dfbca7028e9ac2 | [
"Apache-2.0"
] | 6 | 2022-01-28T15:51:19.000Z | 2022-02-20T17:39:46.000Z | #!/usr/bin/env python3
# 脚本 by affggh
# Apcache 2.0
import os
import sys
import shutil
import zipfile
import subprocess
import platform
import requests
if os.name == 'nt':
import tkinter as tk
if os.name == 'posix':
from mttkinter import mtTkinter as tk
# While Load some need thread funcion on Linux it wi... | 40.509162 | 267 | 0.534751 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8,756 | 0.265954 |
47d6eebb03b0ea6e42bdb7a3c49d5f0b5a409c1e | 49 | py | Python | __init__.py | faridfibrianto/pyrex | bedd088370e90bceefa45788cddf952c03bea945 | [
"MIT"
] | null | null | null | __init__.py | faridfibrianto/pyrex | bedd088370e90bceefa45788cddf952c03bea945 | [
"MIT"
] | null | null | null | __init__.py | faridfibrianto/pyrex | bedd088370e90bceefa45788cddf952c03bea945 | [
"MIT"
] | 1 | 2021-07-03T04:49:53.000Z | 2021-07-03T04:49:53.000Z | from .helpers import *
from .decorators import *
| 16.333333 | 25 | 0.755102 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
47d719fa6ddaa13236b1671d0f097880df05054a | 3,010 | py | Python | solvers/shortest_path.py | Psychofun/Snake-Gym | 59646ef2213e4cc2a68e238d010f5e9f25826951 | [
"MIT"
] | null | null | null | solvers/shortest_path.py | Psychofun/Snake-Gym | 59646ef2213e4cc2a68e238d010f5e9f25826951 | [
"MIT"
] | null | null | null | solvers/shortest_path.py | Psychofun/Snake-Gym | 59646ef2213e4cc2a68e238d010f5e9f25826951 | [
"MIT"
] | null | null | null | import sys
sys.path.append("..")
from gym_snake.envs.node import Node
from gym_snake.envs.snake_env import action_to_vector
from gym_snake.envs.snake_env import SnakeAction
from gym_snake.envs.snake_env import SnakeCellState
from gym_snake.envs.snake_env import rotate_action_clockwise
from gym_snake.envs.snake... | 38.589744 | 168 | 0.639535 | 2,545 | 0.845515 | 0 | 0 | 0 | 0 | 0 | 0 | 279 | 0.092691 |
47d7a401f53299346b73e5c7c5fe542392290c13 | 22,070 | py | Python | progressbot.py | tchapley/ProgressBot | 60837055999cbddcad637a514dc8af2e748374a8 | [
"MIT"
] | null | null | null | progressbot.py | tchapley/ProgressBot | 60837055999cbddcad637a514dc8af2e748374a8 | [
"MIT"
] | 2 | 2021-03-31T18:38:57.000Z | 2021-12-13T19:46:50.000Z | progressbot.py | tchapley/ProgressBot | 60837055999cbddcad637a514dc8af2e748374a8 | [
"MIT"
] | null | null | null | import discord
from discord.ext import commands
import asyncio
import logging
import sys
import requests
import datetime
from bs4 import BeautifulSoup
from util import *
from wowapi import WowApi, WowApiException, WowApiConfigException
from killpoints import KillPoints
from math import ceil
base_wow_progress = "http:/... | 37.343486 | 161 | 0.631899 | 0 | 0 | 0 | 0 | 18,141 | 0.821976 | 17,950 | 0.813321 | 6,683 | 0.302809 |
47d9292775bb73955a326acc7b317a3683aeeec2 | 10,974 | py | Python | python_poc/adapters/fingrid_api_adapter.py | pervcomp/Procem | 6cefbf6c81b51af948feb9510d39820f8e6f113e | [
"MIT"
] | 1 | 2019-01-09T14:38:44.000Z | 2019-01-09T14:38:44.000Z | python_poc/adapters/fingrid_api_adapter.py | pervcomp/Procem | 6cefbf6c81b51af948feb9510d39820f8e6f113e | [
"MIT"
] | 4 | 2021-03-09T00:03:21.000Z | 2022-02-12T05:33:21.000Z | python_poc/adapters/fingrid_api_adapter.py | pervcomp/Procem | 6cefbf6c81b51af948feb9510d39820f8e6f113e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Module for reading and parsing values from Fingrid APIs."""
# Copyright (c) TUT Tampere University of Technology 2015-2018.
# This software has been developed in Procem-project funded by Business Finland.
# This code is licensed under the MIT license.
# See the LICENSE.txt in the project roo... | 43.896 | 118 | 0.609714 | 10,224 | 0.931657 | 0 | 0 | 0 | 0 | 0 | 0 | 2,787 | 0.253964 |
47de6098d15918068f7f92c961c579b6396d5610 | 1,222 | py | Python | scripts/acr_make_overview.py | vogelbac/LAB-QA2GO- | be434da7399d396413309f947f4b634d8fae9a17 | [
"BSD-3-Clause"
] | 14 | 2019-02-07T10:50:58.000Z | 2021-09-03T16:11:00.000Z | scripts/acr_make_overview.py | vogelbac/LAB-QA2GO- | be434da7399d396413309f947f4b634d8fae9a17 | [
"BSD-3-Clause"
] | 6 | 2019-01-28T09:19:27.000Z | 2021-09-09T06:56:42.000Z | scripts/acr_make_overview.py | vogelbac/LAB-QA2GO | be434da7399d396413309f947f4b634d8fae9a17 | [
"BSD-3-Clause"
] | 4 | 2019-01-28T09:00:58.000Z | 2021-05-25T13:54:40.000Z | # script to generate an overview file of all measurentoverview files
import os
import sys
def main(result_folder):
######### Main routine
erg_path = result_folder
fobj = open(erg_path+'overview.txt','w')
#liste mit Werten
value_list =['Datum','Geo_loc','Geo_T1sl1hor','Geo_T1sl1ver','Geo_T1sl5hor','Geo_T1sl5ve... | 31.333333 | 504 | 0.720949 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 619 | 0.506547 |
47de90ccb81d9e53366bae7e288742ccd559ea5d | 328 | py | Python | tests/test_protein.py | kalekundert/autosnapgene | cc019b89f7ab8842d95fd268c24987aabbe1c0b6 | [
"MIT"
] | null | null | null | tests/test_protein.py | kalekundert/autosnapgene | cc019b89f7ab8842d95fd268c24987aabbe1c0b6 | [
"MIT"
] | null | null | null | tests/test_protein.py | kalekundert/autosnapgene | cc019b89f7ab8842d95fd268c24987aabbe1c0b6 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import pytest
import autosnapgene as snap
def test_getters(parse_and_write):
for dna in parse_and_write('flag_tag.prot'):
assert dna.sequence == 'DYKDDDDK'
assert dna.protein_sequence == 'DYKDDDDK'
def test_setters():
dna = snap.SnapGene()
dna.protein_sequence = 'DY... | 23.428571 | 49 | 0.707317 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 67 | 0.204268 |
47e1291a9d383474886f3b6cb416cfcb840ff9bb | 1,514 | py | Python | containers/ice_block.py | craigtmoore/freezer_escape_room | 813144641c079db9ab73c873e354ffc57200a3dd | [
"MIT"
] | null | null | null | containers/ice_block.py | craigtmoore/freezer_escape_room | 813144641c079db9ab73c873e354ffc57200a3dd | [
"MIT"
] | null | null | null | containers/ice_block.py | craigtmoore/freezer_escape_room | 813144641c079db9ab73c873e354ffc57200a3dd | [
"MIT"
] | null | null | null | from typing import Set, List
from inspectable import Inspectable
from interactable import Interactable
from items import Batteries, Hammer
from usable import Usable
class IceBlock(Inspectable, Interactable):
def __init__(self):
super().__init__()
self.name = 'ice block'
self.description ... | 36.926829 | 118 | 0.640687 | 1,345 | 0.888375 | 0 | 0 | 0 | 0 | 0 | 0 | 669 | 0.441876 |
47e13e680106c821ea95e6afefa8c3825aa0febc | 97 | py | Python | holagit.py | fvenya7/practica1 | 2c7084629f0c5e3788a377f8c9d916c28fe188f4 | [
"MIT"
] | null | null | null | holagit.py | fvenya7/practica1 | 2c7084629f0c5e3788a377f8c9d916c28fe188f4 | [
"MIT"
] | null | null | null | holagit.py | fvenya7/practica1 | 2c7084629f0c5e3788a377f8c9d916c28fe188f4 | [
"MIT"
] | null | null | null | print("aprendiendo git")
a=12
print("ya quedó")
print("actualizacion 1")
print("catualizacion 2") | 19.4 | 24 | 0.742268 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 62 | 0.632653 |
47e169f6fbed0c98822c2408dc1e36d39f35b41d | 463 | py | Python | scripts/make_json_dataset.py | sethah/deeptennis | a689c5f1d6f5ff1d665aec99b8db6262d3442c3a | [
"MIT"
] | 27 | 2018-11-23T21:37:14.000Z | 2021-11-22T08:44:35.000Z | scripts/make_json_dataset.py | sethah/deeptennis | a689c5f1d6f5ff1d665aec99b8db6262d3442c3a | [
"MIT"
] | 6 | 2019-07-09T16:26:56.000Z | 2021-05-17T17:29:42.000Z | scripts/make_json_dataset.py | sethah/deeptennis | a689c5f1d6f5ff1d665aec99b8db6262d3442c3a | [
"MIT"
] | 4 | 2019-06-11T06:44:30.000Z | 2021-02-27T14:49:02.000Z | import argparse
from pathlib import Path
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--frames-path", type=str)
parser.add_argument("--output-path", type=str)
args = parser.parse_args()
frame_paths = [p for p in Path(args.frames_path).iterdir()]
with open(... | 33.071429 | 63 | 0.652268 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 67 | 0.144708 |
47e20a2e721763c69d92b54d367291736f3e69c7 | 26,979 | py | Python | app/document/routes.py | DCGM/pero_ocr_web | e901027712827278f9ace914f6ccba16d3ac280f | [
"BSD-2-Clause"
] | 2 | 2020-05-07T13:58:31.000Z | 2021-01-27T09:33:07.000Z | app/document/routes.py | DCGM/pero_ocr_web | e901027712827278f9ace914f6ccba16d3ac280f | [
"BSD-2-Clause"
] | 47 | 2019-09-17T19:20:07.000Z | 2022-03-20T12:33:28.000Z | app/document/routes.py | DCGM/pero_ocr_web | e901027712827278f9ace914f6ccba16d3ac280f | [
"BSD-2-Clause"
] | 1 | 2019-10-02T10:42:35.000Z | 2019-10-02T10:42:35.000Z | import _thread
import sqlalchemy
from app.document import bp
from flask_login import login_required, current_user
from flask import render_template, redirect, url_for, request, send_file, flash, jsonify
from flask import current_app
from app.document.general import create_document, check_and_remove_document, save_image... | 38.376956 | 156 | 0.725305 | 0 | 0 | 0 | 0 | 23,479 | 0.870269 | 0 | 0 | 5,883 | 0.218058 |
47e38cc73a4ca6342b90794377e31733e0fe8cef | 4,898 | py | Python | src/superdatabase3000/packet.py | JeanMax/SuperDatabase3000 | 836395c9b6ea2a5d53f81c22bb126e299f3e1bfc | [
"MIT"
] | 1 | 2020-03-30T13:49:29.000Z | 2020-03-30T13:49:29.000Z | src/superdatabase3000/packet.py | JeanMax/SuperDatabase3000 | 836395c9b6ea2a5d53f81c22bb126e299f3e1bfc | [
"MIT"
] | 5 | 2020-03-30T14:32:48.000Z | 2020-03-31T12:01:02.000Z | src/superdatabase3000/packet.py | JeanMax/SuperDatabase3000 | 836395c9b6ea2a5d53f81c22bb126e299f3e1bfc | [
"MIT"
] | null | null | null | """
This module defines a packet structure
(composed of: canari, payload, payload_size, and eventually an extra payload).
You'll find a 'pack' functions allowing you to create a packet
from a payload (btyes object) you want to send, and an 'unpack' function
that can extract a payload from a packet (as a bytes object to... | 32.223684 | 79 | 0.636178 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,547 | 0.520008 |
47e43b3b4e3f0031df6f61702eae33c0a872be24 | 1,095 | py | Python | microcosm_flask/swagger/api.py | Sinon/microcosm-flask | c1404ebc94459c8156b04f5e04490a330117524c | [
"Apache-2.0"
] | 11 | 2017-01-30T21:53:20.000Z | 2020-05-29T22:39:19.000Z | microcosm_flask/swagger/api.py | Sinon/microcosm-flask | c1404ebc94459c8156b04f5e04490a330117524c | [
"Apache-2.0"
] | 139 | 2016-03-09T19:09:59.000Z | 2021-09-03T17:14:00.000Z | microcosm_flask/swagger/api.py | Sinon/microcosm-flask | c1404ebc94459c8156b04f5e04490a330117524c | [
"Apache-2.0"
] | 10 | 2016-12-19T22:39:42.000Z | 2021-03-09T19:23:15.000Z | """
API interfaces for swagger operations.
"""
from typing import (
Any,
Iterable,
Mapping,
Tuple,
)
from marshmallow import Schema
from marshmallow.fields import Field
from microcosm_flask.swagger.parameters import Parameters
from microcosm_flask.swagger.schemas import Schemas
def build_schema(sch... | 23.804348 | 89 | 0.717808 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 281 | 0.256621 |
47e4a20a59666f230f44fc593c648ca410af9651 | 1,286 | py | Python | converter.py | GuzTech/uart_to_hdmi | b6ea4efa85a06e59406ffc3b034028f00d5a7cbf | [
"MIT"
] | 1 | 2020-07-04T01:09:00.000Z | 2020-07-04T01:09:00.000Z | converter.py | GuzTech/uart_to_hdmi | b6ea4efa85a06e59406ffc3b034028f00d5a7cbf | [
"MIT"
] | null | null | null | converter.py | GuzTech/uart_to_hdmi | b6ea4efa85a06e59406ffc3b034028f00d5a7cbf | [
"MIT"
] | null | null | null | import sys
import struct
if(len(sys.argv) != 5):
print("Usage: python converter.py <num_pixels_x> <num_pixels_y> <input file> <output file>\n")
else:
num_pixels_x = int(sys.argv[1])
num_pixels_y = int(sys.argv[2])
print(num_pixels_x)
has_alpha_channel = False
infile = open(sys.argv[3], "rb")
... | 30.619048 | 98 | 0.573872 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 227 | 0.176516 |
47e4f4051c67291e2bfd6264123e2f3ba68f0903 | 319 | py | Python | project_handwritten-character-recognition-with-convolutional-neural-network-master/Codes/remove_old_image.py | akash519-gif/Handwritten-letter-detection. | f49240bc3dcea5eb8f53bade66ccb49bf8809be6 | [
"Apache-2.0"
] | null | null | null | project_handwritten-character-recognition-with-convolutional-neural-network-master/Codes/remove_old_image.py | akash519-gif/Handwritten-letter-detection. | f49240bc3dcea5eb8f53bade66ccb49bf8809be6 | [
"Apache-2.0"
] | null | null | null | project_handwritten-character-recognition-with-convolutional-neural-network-master/Codes/remove_old_image.py | akash519-gif/Handwritten-letter-detection. | f49240bc3dcea5eb8f53bade66ccb49bf8809be6 | [
"Apache-2.0"
] | null | null | null | # import require package
import os
def remove_content(directory):
for file in os.scandir(directory):
print(file.path)
os.remove(file.path)
print("Old images has been deleted")
upload_dir = './uploads'
remove_content(upload_dir)
images_dir = './static/images'
remove_content(images_dir)
| 18.764706 | 44 | 0.705329 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 81 | 0.253918 |
47e633e7aabb9cbd31dd0cb29459787e531f57cc | 15,271 | py | Python | src/scaffoldfitter/fitterstepfit.py | zekh167/scaffoldfitter | 357a312948464399433f29f19cdac4d7fd6061ef | [
"Apache-2.0"
] | null | null | null | src/scaffoldfitter/fitterstepfit.py | zekh167/scaffoldfitter | 357a312948464399433f29f19cdac4d7fd6061ef | [
"Apache-2.0"
] | null | null | null | src/scaffoldfitter/fitterstepfit.py | zekh167/scaffoldfitter | 357a312948464399433f29f19cdac4d7fd6061ef | [
"Apache-2.0"
] | null | null | null | """
Fit step for gross alignment and scale.
"""
from opencmiss.utils.zinc.field import assignFieldParameters, createFieldsDisplacementGradients
from opencmiss.utils.zinc.general import ChangeManager
from opencmiss.zinc.field import Field, FieldFindMeshLocation
from opencmiss.zinc.optimisation import Optimisation
from ... | 49.26129 | 185 | 0.71017 | 14,861 | 0.973152 | 0 | 0 | 71 | 0.004649 | 0 | 0 | 4,219 | 0.276275 |
47e8c93b45a616423efc06f0610ea0b349b67a78 | 261 | py | Python | src/structlog_to_seq/abs_processor.py | gjedlicska/structlog-to-seq | 44d8eb536db2cf0a5bbd8561a545b39f7584f372 | [
"MIT"
] | null | null | null | src/structlog_to_seq/abs_processor.py | gjedlicska/structlog-to-seq | 44d8eb536db2cf0a5bbd8561a545b39f7584f372 | [
"MIT"
] | null | null | null | src/structlog_to_seq/abs_processor.py | gjedlicska/structlog-to-seq | 44d8eb536db2cf0a5bbd8561a545b39f7584f372 | [
"MIT"
] | null | null | null | from abc import ABCMeta, abstractmethod
from typing import Any
class AbsProcessor(metaclass=ABCMeta):
def __init__(self) -> None:
pass
@abstractmethod
def __call__(self, logger, name, event_dict) -> Any:
raise NotImplementedError
| 21.75 | 56 | 0.708812 | 195 | 0.747126 | 0 | 0 | 106 | 0.40613 | 0 | 0 | 0 | 0 |
47e9940c13fbcbe44daf1d6db6129df93471f1e5 | 2,965 | py | Python | scripts/ch4_correlation_plot.py | mathkann/understanding-random-forests | d2c5e0174d1a778be37a495083d756b2829160ec | [
"BSD-3-Clause"
] | 353 | 2015-01-03T13:34:03.000Z | 2022-03-25T05:16:30.000Z | scripts/ch4_correlation_plot.py | mathkann/understanding-random-forests | d2c5e0174d1a778be37a495083d756b2829160ec | [
"BSD-3-Clause"
] | 1 | 2016-06-29T05:43:41.000Z | 2016-06-29T05:43:41.000Z | scripts/ch4_correlation_plot.py | mathkann/understanding-random-forests | d2c5e0174d1a778be37a495083d756b2829160ec | [
"BSD-3-Clause"
] | 153 | 2015-01-14T03:46:42.000Z | 2021-12-26T10:13:51.000Z | import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
blue = (0, 0, 1.0)
green = (0, 0.8, 0)
red = (1.0, 0, 0)
red_alpha = (1.0, 0, 0, 0.001)
gray = (0.7, 0.7, 0.7)
results = [[],[],
["RandomForestRegressor-K=1",3.527128,2.820386,0.706743,0.063868,0.009973,0.286104,0.420639],
["RandomForestRegressor-... | 57.019231 | 117 | 0.725801 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 624 | 0.210455 |
47e9c55cbdb85ad05b1bd86a08b95251624c0eb6 | 4,029 | py | Python | Run_Vfree-Synthetic_Flat.py | Fernandez-Trincado/DataReductionPy | f06eb975067dc80cac038a47d3b9a9dde43bfdb6 | [
"FSFAP"
] | 1 | 2020-01-25T06:28:40.000Z | 2020-01-25T06:28:40.000Z | Run_Vfree-Synthetic_Flat.py | Fernandez-Trincado/DataReductionPy | f06eb975067dc80cac038a47d3b9a9dde43bfdb6 | [
"FSFAP"
] | null | null | null | Run_Vfree-Synthetic_Flat.py | Fernandez-Trincado/DataReductionPy | f06eb975067dc80cac038a47d3b9a9dde43bfdb6 | [
"FSFAP"
] | null | null | null | #!/usr/bin/python
# Created by: Jose G. Fernandez Trincado
# Date: 2013 June 28
# Program: This program correct the imagen .fit (Science) by Syntethic Flat
# 1 m Reflector telescope, National Astronomical Observatory of Venezuela
# Mode f/5, 21 arcmin x 21 arcmin
# Project: Omega Centauri, Tidal Tails.
# The program ... | 28.778571 | 150 | 0.70489 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,789 | 0.444031 |
47e9dce96f4661d34f10811dc840595ffed5833b | 829 | py | Python | abing/backend/abing/models/feature.py | dohyungp/abitrary | 4dc3f4c79a433a2debe1f1e151d00400a2225e9c | [
"MIT"
] | 5 | 2020-12-04T14:15:26.000Z | 2020-12-30T09:11:09.000Z | abing/backend/abing/models/feature.py | dohyungp/abitrary | 4dc3f4c79a433a2debe1f1e151d00400a2225e9c | [
"MIT"
] | 8 | 2020-12-20T16:33:30.000Z | 2021-01-06T01:56:55.000Z | abing/backend/abing/models/feature.py | dohyungp/abitrary | 4dc3f4c79a433a2debe1f1e151d00400a2225e9c | [
"MIT"
] | 1 | 2021-01-06T15:25:19.000Z | 2021-01-06T15:25:19.000Z | from typing import TYPE_CHECKING
from sqlalchemy import Column, Integer, String, Boolean, DateTime, ForeignKey
from sqlalchemy.orm import relationship
from sqlalchemy.sql import func
from abing.db.base_class import Base
if TYPE_CHECKING:
from .arm import Arm # noqa: F401
class Feature(Base):
__tablename_... | 30.703704 | 79 | 0.731001 | 546 | 0.658625 | 0 | 0 | 0 | 0 | 0 | 0 | 46 | 0.055489 |
47eb8cdb6e6b5599e5209b828d0aacfe3eb4df25 | 555 | py | Python | Utilities/fe8_exp_test.py | Shahrose/lex-talionis | ef7e48124b36269f4212eb0e3a7747caf53bfadd | [
"MIT"
] | null | null | null | Utilities/fe8_exp_test.py | Shahrose/lex-talionis | ef7e48124b36269f4212eb0e3a7747caf53bfadd | [
"MIT"
] | null | null | null | Utilities/fe8_exp_test.py | Shahrose/lex-talionis | ef7e48124b36269f4212eb0e3a7747caf53bfadd | [
"MIT"
] | null | null | null | mlevel = 1
elevel = 1
mclass_bonus_a = 20
eclass_bonus_a = 0
mclass_bonus_b = 60
eclass_bonus_b = 0
mclass_power = 3
eclass_power = 2
def damage_exp():
return (31 + elevel + eclass_bonus_a - mlevel - mclass_bonus_a) / mclass_power
def defeat_exp(mode=1):
return (elevel * eclass_power + eclass_bonus_b) - ((mle... | 24.130435 | 103 | 0.715315 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
47eb8f87adf534b765a9c50c9659d9424a7c2ade | 1,315 | py | Python | createDB.py | ansh-mehta/COVID-19-Vaccine-Slot-Notifier | b09d163ebee960089edbd8b894e3b956745504df | [
"Apache-2.0"
] | null | null | null | createDB.py | ansh-mehta/COVID-19-Vaccine-Slot-Notifier | b09d163ebee960089edbd8b894e3b956745504df | [
"Apache-2.0"
] | 1 | 2021-09-11T18:06:33.000Z | 2021-09-11T18:06:33.000Z | createDB.py | ansh-mehta/COVID-19-Vaccine-Slot-Notifier | b09d163ebee960089edbd8b894e3b956745504df | [
"Apache-2.0"
] | null | null | null | import requests
import json
from pymongo import MongoClient, collection
client = MongoClient("mongodb://localhost:27017")
database = client["temp"]
states_districts = database["states_districts"]
states_districts.remove({})
headers = {
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.... | 35.540541 | 175 | 0.719392 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 454 | 0.345247 |
47ecac75bfa5b5456323216191e97427a888010b | 3,989 | py | Python | model_conv.py | isn350/e_hir_GAN | 53cc7530b1c4bb7ee5250d7fc057b71ceb5726b4 | [
"MIT"
] | null | null | null | model_conv.py | isn350/e_hir_GAN | 53cc7530b1c4bb7ee5250d7fc057b71ceb5726b4 | [
"MIT"
] | null | null | null | model_conv.py | isn350/e_hir_GAN | 53cc7530b1c4bb7ee5250d7fc057b71ceb5726b4 | [
"MIT"
] | null | null | null | import tensorflow as tf
def xavier_init(size):
in_dim = size[0]
xavier_stddev = 1. / tf.sqrt(in_dim / 2.)
# return tf.random_normal(shape=size, stddev=xavier_stddev)
return xavier_stddev
def conv(x, w, b, stride, name):
with tf.variable_scope('conv'):
tf.summary.histogram('we... | 40.292929 | 124 | 0.552018 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 295 | 0.073953 |
47ed721213e9d40abe12f67af339888e2d8b6e5e | 12,488 | py | Python | squad_utils.py | ashtonteng/squad_exp | 0cdcb3e41783026e805fedbe671a9a69a90d8a86 | [
"MIT"
] | 1 | 2019-01-08T16:41:54.000Z | 2019-01-08T16:41:54.000Z | squad_utils.py | ashtonteng/squad_exp | 0cdcb3e41783026e805fedbe671a9a69a90d8a86 | [
"MIT"
] | null | null | null | squad_utils.py | ashtonteng/squad_exp | 0cdcb3e41783026e805fedbe671a9a69a90d8a86 | [
"MIT"
] | null | null | null | import numpy as np
# import matplotlib.pyplot as plt
# import pylab
import re
import itertools
import json
import collections
import multiprocessing as mp
import random
import sys
#sys.path.append("./src/")
#from proto import io as protoio
#from utils.multiprocessor_cpu import MultiProcessorCPU
'''
some general pre/p... | 32.605744 | 119 | 0.596493 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,850 | 0.308296 |
47ee5fdbd7a2fd709f968f5597836efd8e182df3 | 207 | py | Python | software/test/sample.py | technovus-sfu/swarmbots | 6a50193a78056c0359c426b097b96e1c37678a55 | [
"MIT"
] | null | null | null | software/test/sample.py | technovus-sfu/swarmbots | 6a50193a78056c0359c426b097b96e1c37678a55 | [
"MIT"
] | 3 | 2018-02-05T23:21:02.000Z | 2018-05-03T02:58:50.000Z | software/test/sample.py | technovus-sfu/swarmbots | 6a50193a78056c0359c426b097b96e1c37678a55 | [
"MIT"
] | null | null | null | # print("Hello World!")
# sum = 2 + 2
# print(sum)
# for i in range(10,-10,-1):
# if i % 2 == 0:
# print(i)
# else:
# pass
# while(1):
# val = input("Enter ")
# print(val)
| 13.8 | 28 | 0.434783 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 193 | 0.932367 |
47f00c4575c588196fb02578a13c75df9196c8ba | 476 | py | Python | super_nft/blueprints/datasprint/datasprint.py | Blockchain-Key/Super-NFT | 3983621127636bf9d4da740a5ac60451a3e5bbe8 | [
"MIT"
] | 5 | 2021-05-02T00:06:41.000Z | 2021-11-30T10:34:08.000Z | super_nft/blueprints/datasprint/datasprint.py | Blockchain-Key/Super-NFT | 3983621127636bf9d4da740a5ac60451a3e5bbe8 | [
"MIT"
] | 3 | 2021-05-06T09:31:49.000Z | 2021-05-11T05:14:32.000Z | super_nft/blueprints/datasprint/datasprint.py | Blockchain-Key/Super-NFT | 3983621127636bf9d4da740a5ac60451a3e5bbe8 | [
"MIT"
] | 1 | 2021-05-06T15:34:24.000Z | 2021-05-06T15:34:24.000Z | # -*- coding: utf-8 -*-
"""User views."""
from flask import Blueprint, render_template, jsonify
from flask_login import login_required
from super_nft.extensions import csrf_protect
datasprint_bp = Blueprint("datasprint", __name__, url_prefix="/datasprint", static_folder="../static")
@csrf_protect.exempt
@datasprint_b... | 28 | 102 | 0.682773 | 0 | 0 | 0 | 0 | 189 | 0.397059 | 0 | 0 | 123 | 0.258403 |
47f07bbd0388ba3dd47eb8f252a382985372ec31 | 548 | py | Python | CursoemVideoPython/Desafio 34.py | Beebruna/Python | bdbe10ea76acca1b417f5960db0aae8be44e0af3 | [
"MIT"
] | null | null | null | CursoemVideoPython/Desafio 34.py | Beebruna/Python | bdbe10ea76acca1b417f5960db0aae8be44e0af3 | [
"MIT"
] | null | null | null | CursoemVideoPython/Desafio 34.py | Beebruna/Python | bdbe10ea76acca1b417f5960db0aae8be44e0af3 | [
"MIT"
] | null | null | null | '''
Escreva um programa que pergunte o salário de um funcionário e calcule o valor do seu
aumento.
Para salários superiores a R$1.250,00, calcule um aumento de 10%
Para os inferiores ou iguais, o aumento é de 15%.
'''
salario = float(input('Digite o salário: R$ '))
if salario < 0:
print('Valor inválido!')
else:
... | 34.25 | 99 | 0.669708 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 431 | 0.772401 |
47f0f24b25872b88a91afd63b72991904ea663bc | 658 | py | Python | python/AULAS/aula20.py | Robert-Marchinhaki/primeiros-passos-Python | 515c2c418bfb941bd9af14cf598eca7fe2985592 | [
"MIT"
] | null | null | null | python/AULAS/aula20.py | Robert-Marchinhaki/primeiros-passos-Python | 515c2c418bfb941bd9af14cf598eca7fe2985592 | [
"MIT"
] | null | null | null | python/AULAS/aula20.py | Robert-Marchinhaki/primeiros-passos-Python | 515c2c418bfb941bd9af14cf598eca7fe2985592 | [
"MIT"
] | null | null | null | def linhas(cor, txt):
if pintar in cores:
print(cores[pintar])
print(txt)
cores = {'vermelho': '\033[31m',
'azul': '\033[34m',
'amarelo': '\033[33m',
'branco': '\033[30m',
'roxo': '\033[35m',
'verde': '\033[32m',
'ciano': '\033[36m',
'limp... | 26.32 | 71 | 0.542553 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 276 | 0.418816 |
47f182f38e59b731af6d6326b1c317ab14b2b7e5 | 992 | py | Python | FatherSon/HelloWorld2_source_code/Listing_20-2.py | axetang/AxePython | 3b517fa3123ce2e939680ad1ae14f7e602d446a6 | [
"Apache-2.0"
] | 1 | 2019-01-04T05:47:50.000Z | 2019-01-04T05:47:50.000Z | FatherSon/HelloWorld2_source_code/Listing_20-2.py | axetang/AxePython | 3b517fa3123ce2e939680ad1ae14f7e602d446a6 | [
"Apache-2.0"
] | null | null | null | FatherSon/HelloWorld2_source_code/Listing_20-2.py | axetang/AxePython | 3b517fa3123ce2e939680ad1ae14f7e602d446a6 | [
"Apache-2.0"
] | null | null | null | # Listing_20-2.py
# Copyright Warren & Csrter Sande, 2013
# Released under MIT license http://www.opensource.org/licenses/mit-license.php
# Version $version ----------------------------
# Adding an event handler for the button
import sys
from PyQt4 import QtCore, QtGui, uic
form_class = uic.loadUiType("... | 31 | 90 | 0.654234 | 513 | 0.517137 | 0 | 0 | 0 | 0 | 0 | 0 | 388 | 0.391129 |
47f231b8a668477769e2a9abd3723ae4eedc3e54 | 1,072 | py | Python | raspberry/serial_stub.py | idf/Robot-In-Maze | 2301021c39f36a01ff97af26c54d41fedbe1608c | [
"MIT"
] | 16 | 2015-04-04T15:26:01.000Z | 2019-10-15T16:13:03.000Z | raspberry/serial_stub.py | idf/Robot-In-Maze | 2301021c39f36a01ff97af26c54d41fedbe1608c | [
"MIT"
] | null | null | null | raspberry/serial_stub.py | idf/Robot-In-Maze | 2301021c39f36a01ff97af26c54d41fedbe1608c | [
"MIT"
] | 7 | 2015-10-12T21:23:12.000Z | 2021-10-13T02:41:25.000Z | from serial_comminication import *
from utils.decorators import Override
__author__ = 'Danyang'
class SerialAPIStub(SerialAPI):
@Override(SerialAPI)
def __init__(self):
super(SerialAPIStub, self).__init__(production=False)
@Override(SerialAPI)
def command_put(self, function, parameter):
... | 38.285714 | 118 | 0.602612 | 971 | 0.905784 | 0 | 0 | 924 | 0.86194 | 0 | 0 | 223 | 0.208022 |
47f249b23a7b5f7230bfbb222ddcb290a2a7adde | 5,259 | py | Python | boto3_type_annotations_with_docs/boto3_type_annotations/mobile/paginator.py | cowboygneox/boto3_type_annotations | 450dce1de4e066b939de7eac2ec560ed1a7ddaa2 | [
"MIT"
] | 119 | 2018-12-01T18:20:57.000Z | 2022-02-02T10:31:29.000Z | boto3_type_annotations_with_docs/boto3_type_annotations/mobile/paginator.py | cowboygneox/boto3_type_annotations | 450dce1de4e066b939de7eac2ec560ed1a7ddaa2 | [
"MIT"
] | 15 | 2018-11-16T00:16:44.000Z | 2021-11-13T03:44:18.000Z | boto3_type_annotations_with_docs/boto3_type_annotations/mobile/paginator.py | cowboygneox/boto3_type_annotations | 450dce1de4e066b939de7eac2ec560ed1a7ddaa2 | [
"MIT"
] | 11 | 2019-05-06T05:26:51.000Z | 2021-09-28T15:27:59.000Z | from typing import Dict
from botocore.paginate import Paginator
class ListBundles(Paginator):
def paginate(self, PaginationConfig: Dict = None) -> Dict:
"""
Creates an iterator that will paginate through responses from :py:meth:`Mobile.Client.list_bundles`.
See also: `AWS API Documentation... | 40.145038 | 224 | 0.487165 | 5,189 | 0.986689 | 0 | 0 | 0 | 0 | 0 | 0 | 4,960 | 0.943145 |
47f2d05914db9e80d9759d21867bc5761abeee91 | 1,550 | py | Python | algorithms/counting_sort.py | ArziPL/Other | 1319ac85b19a5c49fb70e902e3e37f2e7a192d0b | [
"MIT"
] | null | null | null | algorithms/counting_sort.py | ArziPL/Other | 1319ac85b19a5c49fb70e902e3e37f2e7a192d0b | [
"MIT"
] | null | null | null | algorithms/counting_sort.py | ArziPL/Other | 1319ac85b19a5c49fb70e902e3e37f2e7a192d0b | [
"MIT"
] | null | null | null | # Best : O(n + k)
# Avg : O(n + k)
# Worst O(n + k)
# Space worst : O(k) - CAN GET VERY BIG BIG
# k - range of values in array
# Take every number in arr then add += 1 to index of that number in temporary arrays, then
# for every index in temporary arrays add to final_arr that amount of that index number of
# how bi... | 34.444444 | 119 | 0.642581 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 822 | 0.530323 |
47f4980d53b9e0ce1e873da3c9bbca1b3052a8de | 5,881 | py | Python | scheduler/notebooks/figures/evaluation/utils.py | akshayka/gavel | 40a22a725f2e70478483e98c9b07c6fc588e0c40 | [
"MIT"
] | 67 | 2020-09-07T11:50:03.000Z | 2022-03-31T04:09:08.000Z | scheduler/notebooks/figures/evaluation/utils.py | akshayka/gavel | 40a22a725f2e70478483e98c9b07c6fc588e0c40 | [
"MIT"
] | 7 | 2020-09-27T01:41:59.000Z | 2022-03-25T05:16:43.000Z | scheduler/notebooks/figures/evaluation/utils.py | akshayka/gavel | 40a22a725f2e70478483e98c9b07c6fc588e0c40 | [
"MIT"
] | 12 | 2020-10-13T14:31:01.000Z | 2022-02-14T05:44:38.000Z | import os
import random
import re
import numpy as np
np.set_printoptions(precision=3, suppress=True)
import sys; sys.path.append("../../..")
from job_table import JobTable
def get_logfile_paths_helper(directory_name):
logfile_paths = []
for root, _, file_names in os.walk(directory_name):
if len(file... | 38.188312 | 100 | 0.550757 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 430 | 0.073117 |
47f4fb021dc13ce9ce0d5ff354639ce8927eaf9b | 883 | py | Python | scripts/practice/FB-reRun/ MoveZeroesToEnd.py | bhimeshchauhan/competitive_programming | e0777bb0c425ffa03d8173a83e50ca55c4a3fcf5 | [
"MIT"
] | null | null | null | scripts/practice/FB-reRun/ MoveZeroesToEnd.py | bhimeshchauhan/competitive_programming | e0777bb0c425ffa03d8173a83e50ca55c4a3fcf5 | [
"MIT"
] | 8 | 2020-09-05T16:04:31.000Z | 2022-02-27T09:57:51.000Z | scripts/practice/FB-reRun/ MoveZeroesToEnd.py | bhimeshchauhan/competitive_programming | e0777bb0c425ffa03d8173a83e50ca55c4a3fcf5 | [
"MIT"
] | null | null | null | """
Move Zeroes - https://leetcode.com/problems/move-zeroes/
Given an integer array nums, move all 0's to the end of it while maintaining the relative order of the non-zero elements.
Note that you must do this in-place without making a copy of the array.
Example 1:
Input: nums = [0,1,0,3,12]
Output: [1,3,12,0,0]
... | 20.534884 | 121 | 0.583239 | 374 | 0.423556 | 0 | 0 | 0 | 0 | 0 | 0 | 583 | 0.660249 |
47f6c684577e0c1a7c425c6ef180e8ab456e667e | 1,503 | py | Python | django_stormpath/id_site.py | stormpath/stormpath-django | af60eb5da2115d94ac313613c5d4e6b9f3d16157 | [
"Apache-2.0"
] | 36 | 2015-01-13T00:21:07.000Z | 2017-11-07T11:45:25.000Z | django_stormpath/id_site.py | stormpath/stormpath-django | af60eb5da2115d94ac313613c5d4e6b9f3d16157 | [
"Apache-2.0"
] | 55 | 2015-01-07T09:53:50.000Z | 2017-02-07T00:31:20.000Z | django_stormpath/id_site.py | stormpath/stormpath-django | af60eb5da2115d94ac313613c5d4e6b9f3d16157 | [
"Apache-2.0"
] | 24 | 2015-01-06T16:17:33.000Z | 2017-04-21T14:00:16.000Z | from django.contrib.auth import login as django_login
from django.contrib.auth import logout as django_logout
from django.http import HttpResponseRedirect
from django.shortcuts import resolve_url
from django.conf import settings
from .backends import StormpathIdSiteBackend
ID_SITE_STATUS_AUTHENTICATED = 'AUTHENTICAT... | 28.358491 | 73 | 0.809714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 0.056554 |
47f782c40ce2bf55510e810deac00bf9b89ac029 | 445 | py | Python | dp/sequence/perfect-square.py | windowssocket/py_leetcode | 241dbf8d7dab7db5215c2526321fcdb378b45492 | [
"Apache-2.0"
] | 3 | 2018-05-29T02:29:40.000Z | 2020-02-05T03:28:16.000Z | dp/sequence/perfect-square.py | xidongc/py_leetcode | 241dbf8d7dab7db5215c2526321fcdb378b45492 | [
"Apache-2.0"
] | 1 | 2019-03-08T13:22:32.000Z | 2019-03-08T13:22:32.000Z | dp/sequence/perfect-square.py | xidongc/py_leetcode | 241dbf8d7dab7db5215c2526321fcdb378b45492 | [
"Apache-2.0"
] | 3 | 2018-05-29T11:50:24.000Z | 2018-11-27T12:31:01.000Z | # https://leetcode.com/problems/perfect-squares/description/
# dp alg, time complexity: O(n^2)
class Solution(object):
def numSquares(self, n):
"""
:type n: int
:rtype: int
"""
dp = [n for _ in range(n+1)]
dp[0] = 0
for i in range(1, n+1):
j = 1... | 22.25 | 60 | 0.438202 | 347 | 0.779775 | 0 | 0 | 0 | 0 | 0 | 0 | 149 | 0.334831 |
47f8383750414c949b888bd3081dff4a804800b1 | 1,416 | py | Python | Projetos_Pessoais/projeto_sorteio/sorteio.py | thiagomath/Python | dd73154e347c75a65a74e047ba880cc1f7dc1f91 | [
"MIT"
] | null | null | null | Projetos_Pessoais/projeto_sorteio/sorteio.py | thiagomath/Python | dd73154e347c75a65a74e047ba880cc1f7dc1f91 | [
"MIT"
] | null | null | null | Projetos_Pessoais/projeto_sorteio/sorteio.py | thiagomath/Python | dd73154e347c75a65a74e047ba880cc1f7dc1f91 | [
"MIT"
] | null | null | null | # Programa para sorteio
from tkinter import *
'''import PySimpleGUI as sg'''
'''
#Layout
layout = [
[sg.Text('Nome:'), sg.Input()],
[sg.Button('OK')]
]
#Janela
janela = sg.Window('Janela teste', layout)
#Interação
eventos, valores = janela.Read()
#Mensagem
print(f'Olá {valores[0]}, obrigado por usar PySimple... | 24.413793 | 91 | 0.699859 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 973 | 0.678049 |
47fa30bd997d1a1670c7fee27600bd53764e519c | 481 | py | Python | flask_tutorial/flask_sqlite3/__init__.py | ftconan/python3 | eb63ba33960072f792ecce6db809866b38c402f8 | [
"MIT"
] | 1 | 2018-12-19T22:07:56.000Z | 2018-12-19T22:07:56.000Z | flask_tutorial/flask_sqlite3/__init__.py | ftconan/python3 | eb63ba33960072f792ecce6db809866b38c402f8 | [
"MIT"
] | 12 | 2020-03-14T05:32:26.000Z | 2022-03-12T00:08:49.000Z | flask_tutorial/flask_sqlite3/__init__.py | ftconan/python3 | eb63ba33960072f792ecce6db809866b38c402f8 | [
"MIT"
] | 1 | 2018-12-19T22:08:00.000Z | 2018-12-19T22:08:00.000Z | """
@author: magician
@file: __init__.py.py
@date: 2020/9/7
"""
from flask import Flask
from flask_tutorial.flask_sqlite3.flask_sqlite3 import SQLite3
app = Flask(__name__)
app.config.from_pyfile('the-config.cfg')
db = SQLite3(app)
@app.route('/')
def show_all():
"""
show_all
@return:
"""
# ... | 17.814815 | 62 | 0.636175 | 0 | 0 | 0 | 0 | 240 | 0.49896 | 0 | 0 | 192 | 0.399168 |
47fd0f1fa3538b0a659731489a61f441085833ad | 516 | py | Python | str_to_ num.py | maiconloure/Learning_Python | 2999508909ace5f8ca0708cdea93b82abaaeafb2 | [
"MIT"
] | null | null | null | str_to_ num.py | maiconloure/Learning_Python | 2999508909ace5f8ca0708cdea93b82abaaeafb2 | [
"MIT"
] | null | null | null | str_to_ num.py | maiconloure/Learning_Python | 2999508909ace5f8ca0708cdea93b82abaaeafb2 | [
"MIT"
] | null | null | null | """Transformando um string de numeros, em uma lista
com conjunto de numeros separads por \n"""
matrix = "1 2 3 4\n4 5 6 5\n7 8 9 6\n8 7 6 7"
print(matrix)
matrix = matrix.split("\n")
print(matrix)
matrix2 = []
for n in range(len(matrix)):
matrix[n] = matrix[n].split()
matrix[n] = list(map(int, matrix[n])) # E... | 28.666667 | 85 | 0.672481 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 225 | 0.436047 |
47fd4fd6cf5d22ab4c0d8b28debf25aa2a0236a1 | 517 | py | Python | Programs/__init__.py | el-vida/ITE_Classification_Using_GMMs | 8c1e751fac2c0aa873d41dbae45776b540db0889 | [
"MIT"
] | null | null | null | Programs/__init__.py | el-vida/ITE_Classification_Using_GMMs | 8c1e751fac2c0aa873d41dbae45776b540db0889 | [
"MIT"
] | null | null | null | Programs/__init__.py | el-vida/ITE_Classification_Using_GMMs | 8c1e751fac2c0aa873d41dbae45776b540db0889 | [
"MIT"
] | null | null | null | from A_1_Add_columns_participant_info_multiprocessing_new import *
from A_2_Merge_new_logs import *
from B_1_Add_columns_user_performance_multiprocessing_new import *
from B_2_Merge_new_logs_with_user_groups import *
from C_1_Post_processing_log_new import *
from C_2_Merge_new_logs_post_processed import *
from D_1_Reca... | 47 | 66 | 0.895551 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
47fd66e778b3e447ec3e01b548b142f968b5fb7f | 599 | py | Python | setup.py | xebialabs-community/xld-install-helper | a61baa9fabc6484afa5fd287a25fc6fb88d84670 | [
"MIT"
] | null | null | null | setup.py | xebialabs-community/xld-install-helper | a61baa9fabc6484afa5fd287a25fc6fb88d84670 | [
"MIT"
] | null | null | null | setup.py | xebialabs-community/xld-install-helper | a61baa9fabc6484afa5fd287a25fc6fb88d84670 | [
"MIT"
] | 2 | 2016-12-27T12:12:09.000Z | 2020-09-24T18:06:58.000Z | #!/usr/bin/env python
from setuptools import setup, find_packages
setup(
name='xl-helper',
version='1.0.5',
description='XL Deploy helper',
long_description='This tool helps with installation and upgrade of XL Deploy and plugins',
author='Mike Kotsur',
author_email='mkotsur@xebialabs.com',
... | 31.526316 | 94 | 0.684474 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 285 | 0.475793 |
47ff4464ecaa8b0b0480823b9cf4bf43b54abcec | 3,520 | py | Python | pdf_poc/search.py | cr0hn/TestingBench | 37975343cf9ccb019e8dc42404b5b321285b04b3 | [
"BSD-3-Clause"
] | 5 | 2018-05-10T19:50:29.000Z | 2018-05-10T20:07:08.000Z | pdf_poc/search.py | cr0hn/TestingBench | 37975343cf9ccb019e8dc42404b5b321285b04b3 | [
"BSD-3-Clause"
] | null | null | null | pdf_poc/search.py | cr0hn/TestingBench | 37975343cf9ccb019e8dc42404b5b321285b04b3 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from collections import defaultdict
from PyPDF2 import PdfFileReader
from PyPDF2.pdf import PageObject, ContentStream, TextStringObject, u_, i, b_
def is_continuation(content, item):
if content.operations[item - 1][1] == b_("Tm"):
# Search previous "Tm"
for bef in range(-2, -15, -1):
... | 23.311258 | 77 | 0.658523 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 864 | 0.245455 |
9a003487767445f7e574b64c73392ed111a08837 | 493 | py | Python | setup.py | hugorodgerbrown/django-netpromoterscore | f0a7ddc32fe942069abacfaa5a3220eaabe9e1db | [
"MIT"
] | 8 | 2016-06-21T21:56:17.000Z | 2021-10-06T17:28:00.000Z | setup.py | hugorodgerbrown/django-netpromoterscore | f0a7ddc32fe942069abacfaa5a3220eaabe9e1db | [
"MIT"
] | null | null | null | setup.py | hugorodgerbrown/django-netpromoterscore | f0a7ddc32fe942069abacfaa5a3220eaabe9e1db | [
"MIT"
] | 1 | 2018-10-19T21:57:54.000Z | 2018-10-19T21:57:54.000Z | from setuptools import setup, find_packages
setup(
name = "django-netpromoterscore",
version = '0.0.2',
description = "Model, Tests, and API for collecting promoter score from users.",
author = "Austin Brennan",
author_email = "ab@epantry.com",
url = "https://github.com/epantry/django-netpromo... | 32.866667 | 84 | 0.677485 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 225 | 0.456389 |
9a0110a8361459c9dacb7bcdc22b39b60eeea30e | 731 | py | Python | DSC_Data_Exchange/dsc-text-node/src/state/configuration_state.py | ai4eu/tutorials | 68eb2208716e655d2aa8b950a0d7d73bf6f20f3a | [
"Apache-2.0"
] | 8 | 2020-04-21T13:29:04.000Z | 2021-12-13T08:59:09.000Z | DSC_Data_Exchange/dsc-text-node/src/state/configuration_state.py | ai4eu/tutorials | 68eb2208716e655d2aa8b950a0d7d73bf6f20f3a | [
"Apache-2.0"
] | 3 | 2021-04-27T11:03:04.000Z | 2021-05-24T18:22:57.000Z | DSC_Data_Exchange/dsc-text-node/src/state/configuration_state.py | ai4eu/tutorials | 68eb2208716e655d2aa8b950a0d7d73bf6f20f3a | [
"Apache-2.0"
] | 6 | 2020-07-06T08:23:25.000Z | 2021-11-24T10:39:34.000Z | import flask
class Configuration:
def __new__(cls):
if not hasattr(cls, 'instance'):
cls.instance = super(Configuration, cls).__new__(cls)
return cls.instance
recipient = None
resource_id = None
artifact_id = None
contract = None
custom_dsc = None
use_custom_d... | 24.366667 | 65 | 0.653899 | 338 | 0.46238 | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 0.116279 |
9a014ede8ba8180a42bf7abbdb2da472afc22d73 | 228 | py | Python | pynemo/core/base/property/string.py | SSripilaipong/pynemo | f4dedd2599ec78b2ffe73f55b1d2b8b5da1b1e7f | [
"MIT"
] | null | null | null | pynemo/core/base/property/string.py | SSripilaipong/pynemo | f4dedd2599ec78b2ffe73f55b1d2b8b5da1b1e7f | [
"MIT"
] | null | null | null | pynemo/core/base/property/string.py | SSripilaipong/pynemo | f4dedd2599ec78b2ffe73f55b1d2b8b5da1b1e7f | [
"MIT"
] | null | null | null | from pynemo.core.base.abstract.property import Property
class StringProperty(Property):
@classmethod
def validate(cls, v):
return str(v)
@classmethod
def to_cypher(cls, v):
return repr(str(v))
| 19 | 55 | 0.666667 | 169 | 0.741228 | 0 | 0 | 127 | 0.557018 | 0 | 0 | 0 | 0 |
9a0316a49bbe3e0c8ccbf65e47f3d0ad6d7d1eaf | 6,299 | py | Python | src/folio_migration_tools/folder_structure.py | chadmcinnis/folio_migration_tools | 39ee044a713a34c323324a956e3e8b54ee05c194 | [
"MIT"
] | 1 | 2022-03-30T07:48:33.000Z | 2022-03-30T07:48:33.000Z | src/folio_migration_tools/folder_structure.py | chadmcinnis/folio_migration_tools | 39ee044a713a34c323324a956e3e8b54ee05c194 | [
"MIT"
] | 76 | 2022-02-04T16:36:49.000Z | 2022-03-31T11:20:29.000Z | src/folio_migration_tools/folder_structure.py | chadmcinnis/folio_migration_tools | 39ee044a713a34c323324a956e3e8b54ee05c194 | [
"MIT"
] | 1 | 2022-02-02T17:19:05.000Z | 2022-02-02T17:19:05.000Z | import logging
import sys
from pathlib import Path
import time
from folio_uuid.folio_namespaces import FOLIONamespaces
class FolderStructure:
def __init__(
self,
base_path: Path,
object_type: FOLIONamespaces,
migration_task_name: str,
iteration_identifier: str,
add... | 42.275168 | 98 | 0.680743 | 5,391 | 0.85585 | 0 | 0 | 0 | 0 | 0 | 0 | 1,541 | 0.244642 |
9a03f4a30283fc5811ab209f5fab981571d780d6 | 6,064 | py | Python | ftrl_noise.py | google-research/DP-FTRL | 513500a8e31e412972a7d457e9c66756e4a48348 | [
"Apache-2.0"
] | 8 | 2021-04-09T18:00:18.000Z | 2022-03-11T01:13:13.000Z | ftrl_noise.py | google-research/DP-FTRL | 513500a8e31e412972a7d457e9c66756e4a48348 | [
"Apache-2.0"
] | 1 | 2021-08-18T04:59:42.000Z | 2021-12-08T00:24:24.000Z | ftrl_noise.py | google-research/DP-FTRL | 513500a8e31e412972a7d457e9c66756e4a48348 | [
"Apache-2.0"
] | 3 | 2021-11-05T15:42:31.000Z | 2022-03-03T07:38:46.000Z | # Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, soft... | 32.956522 | 121 | 0.59812 | 4,651 | 0.766985 | 0 | 0 | 4,414 | 0.727902 | 0 | 0 | 2,146 | 0.353892 |
9a04e9a41ace038d4a501f35036632f201b9f71d | 2,782 | py | Python | ladder/tests/test_models.py | jzahedieh/django-tennis-ladder | 03a9fc9ec6d0830ac1d6648428eca11755eabb00 | [
"MIT"
] | 13 | 2015-04-30T21:07:20.000Z | 2021-01-08T13:52:14.000Z | ladder/tests/test_models.py | jzahedieh/django-tennis-ladder | 03a9fc9ec6d0830ac1d6648428eca11755eabb00 | [
"MIT"
] | 13 | 2015-04-05T22:48:14.000Z | 2021-12-12T17:29:16.000Z | ladder/tests/test_models.py | jzahedieh/django-tennis-ladder | 03a9fc9ec6d0830ac1d6648428eca11755eabb00 | [
"MIT"
] | 5 | 2016-10-12T16:24:09.000Z | 2019-11-26T10:16:44.000Z | from django.test import TestCase
from ladder.models import Player, Result, League, Season
from django.db.models import Avg
class PlayerModelTest(TestCase):
def test_player_stats(self):
"""
Tests a player stats is calculated correctly.
"""
# fresh player test
player = Player... | 36.605263 | 107 | 0.638749 | 2,654 | 0.95399 | 0 | 0 | 0 | 0 | 0 | 0 | 622 | 0.22358 |
9a06d9877e200d7e5cdcb16fe42f60b4884f0200 | 6,779 | py | Python | src/authub/idp/google.py | fantix/authub | 1f8a30fe32c579e556d2b962f258e0f99527a006 | [
"BSD-3-Clause"
] | null | null | null | src/authub/idp/google.py | fantix/authub | 1f8a30fe32c579e556d2b962f258e0f99527a006 | [
"BSD-3-Clause"
] | null | null | null | src/authub/idp/google.py | fantix/authub | 1f8a30fe32c579e556d2b962f258e0f99527a006 | [
"BSD-3-Clause"
] | null | null | null | """Google OpenID Connect identity provider."""
from uuid import UUID
from fastapi import Depends, status, Request
from pydantic import BaseModel
from .base import IdPRouter, oauth
from ..http import get_edgedb_pool
from ..models import IdPClient, Identity as BaseIdentity, Href, User
from ..orm import ExtendedComputa... | 27.445344 | 95 | 0.621478 | 1,181 | 0.174214 | 0 | 0 | 4,414 | 0.651128 | 4,187 | 0.617643 | 1,661 | 0.245021 |
9a07ac994b1953108c37e98bccdd7052124320ff | 1,192 | py | Python | src/holocron/_processors/import_processors.py | ikalnytskyi/holocron | f0bda50f1aab7d1013fac5bd8fb01f7ebeb7bdc3 | [
"BSD-3-Clause"
] | 6 | 2016-11-27T11:53:18.000Z | 2021-02-08T00:37:59.000Z | src/holocron/_processors/import_processors.py | ikalnytskyi/holocron | f0bda50f1aab7d1013fac5bd8fb01f7ebeb7bdc3 | [
"BSD-3-Clause"
] | 25 | 2017-04-12T15:27:55.000Z | 2022-01-21T23:37:37.000Z | src/holocron/_processors/import_processors.py | ikalnytskyi/holocron | f0bda50f1aab7d1013fac5bd8fb01f7ebeb7bdc3 | [
"BSD-3-Clause"
] | 1 | 2020-11-15T17:49:36.000Z | 2020-11-15T17:49:36.000Z | """Import processors from 3rd party sources."""
import contextlib
import sys
import pkg_resources
from ._misc import parameters
@parameters(
jsonschema={
"type": "object",
"properties": {
"imports": {"type": "array", "items": {"type": "string"}},
"from_": {"type": "strin... | 29.073171 | 79 | 0.64849 | 0 | 0 | 847 | 0.71057 | 1,058 | 0.887584 | 0 | 0 | 447 | 0.375 |
9a0859c884c636f6f47e39ee23feff85000d7d1d | 656 | py | Python | 412.fizz-buzz.py | SprintGhost/LeetCode | cdf1a86c83f2daedf674a871c4161da7e8fad17c | [
"Unlicense"
] | 1 | 2019-03-26T13:49:14.000Z | 2019-03-26T13:49:14.000Z | 412.fizz-buzz.py | SprintGhost/LeetCode | cdf1a86c83f2daedf674a871c4161da7e8fad17c | [
"Unlicense"
] | 5 | 2020-01-04T15:13:06.000Z | 2020-08-31T14:20:23.000Z | 412.fizz-buzz.py | SprintGhost/LeetCode | cdf1a86c83f2daedf674a871c4161da7e8fad17c | [
"Unlicense"
] | null | null | null | #
# @lc app=leetcode.cn id=412 lang=python3
#
# [412] Fizz Buzz
#
# Accepted
# 8/8 cases passed (48 ms)
# Your runtime beats 76.37 % of python3 submissions
# Your memory usage beats 25 % of python3 submissions (14.5 MB)
# @lc code=start
class Solution:
def fizzBuzz(self, n: int):
result = list()
f... | 22.62069 | 63 | 0.532012 | 399 | 0.608232 | 0 | 0 | 0 | 0 | 0 | 0 | 263 | 0.400915 |
9a08f540ce3f12537d5b6d4be1caf8051f4c1c27 | 5,875 | py | Python | selector/from_model.py | uberkinder/Robusta-AutoML | 9faee4c17ad9f37b09760f9fffea715cdbf2d1fb | [
"MIT"
] | 2 | 2019-04-26T19:40:31.000Z | 2019-10-12T15:18:29.000Z | selector/from_model.py | uberkinder/Robusta-AutoML | 9faee4c17ad9f37b09760f9fffea715cdbf2d1fb | [
"MIT"
] | null | null | null | selector/from_model.py | uberkinder/Robusta-AutoML | 9faee4c17ad9f37b09760f9fffea715cdbf2d1fb | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
from sklearn.model_selection import check_cv
from sklearn.exceptions import NotFittedError
from sklearn.base import clone, is_classifier
from robusta.importance import get_importance
from robusta.crossval import crossval
from .base import _Selector
# Original: sklearn.feature_... | 30.440415 | 79 | 0.637787 | 4,080 | 0.694468 | 0 | 0 | 431 | 0.073362 | 0 | 0 | 2,656 | 0.452085 |
9a0a7b6a486f4199dd2e8181f3e83788c1d07d18 | 1,875 | py | Python | trainer.py | jinxixiang/PC-TMB | c6f2fc62629c7f026865774cdfb9d826464397ea | [
"MIT"
] | null | null | null | trainer.py | jinxixiang/PC-TMB | c6f2fc62629c7f026865774cdfb9d826464397ea | [
"MIT"
] | null | null | null | trainer.py | jinxixiang/PC-TMB | c6f2fc62629c7f026865774cdfb9d826464397ea | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
import torch_optimizer as optim
import pandas as pd
# customized libs
import criterions
import models
import datasets
def get_model(conf):
net = getattr(models, conf.Model.base)
return net(**conf.Model.params)
def get_loss(conf):
conf_loss = conf.Loss.base_loss
as... | 29.296875 | 99 | 0.670933 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 71 | 0.037867 |
9a0b750755a4f2eb69f71eb1f7890678edaaee12 | 1,733 | py | Python | falmer/search/queries.py | sussexstudent/services-api | ae735bd9d6177002c3d986e5c19a78102233308f | [
"MIT"
] | 2 | 2017-04-27T19:35:59.000Z | 2017-06-13T16:19:33.000Z | falmer/search/queries.py | sussexstudent/falmer | ae735bd9d6177002c3d986e5c19a78102233308f | [
"MIT"
] | 975 | 2017-04-13T11:31:07.000Z | 2022-02-10T07:46:18.000Z | falmer/search/queries.py | sussexstudent/services-api | ae735bd9d6177002c3d986e5c19a78102233308f | [
"MIT"
] | 3 | 2018-05-09T06:42:25.000Z | 2020-12-10T18:29:30.000Z | import graphene
from fuzzywuzzy import process
from falmer.search.types import SearchQuery
from falmer.search.utils import get_falmer_results_for_term, get_msl_results_for_term, \
SearchTermResponseData
def get_item_id(item):
model = item.__class__.__name__ if hasattr(item, '__class__') else 'MSL'
if mod... | 28.883333 | 88 | 0.623774 | 1,129 | 0.651471 | 0 | 0 | 0 | 0 | 0 | 0 | 68 | 0.039238 |
9a0ef79b4f00de681e34f8ae67dfe78a084e7151 | 700 | py | Python | SYMBOLS/heart.py | charansaim1819/Python_Patterns | 02e636855003346ec84c3d69f2be174dc9e9e3cb | [
"MIT"
] | null | null | null | SYMBOLS/heart.py | charansaim1819/Python_Patterns | 02e636855003346ec84c3d69f2be174dc9e9e3cb | [
"MIT"
] | null | null | null | SYMBOLS/heart.py | charansaim1819/Python_Patterns | 02e636855003346ec84c3d69f2be174dc9e9e3cb | [
"MIT"
] | null | null | null | #Shape of heart:
def for_heart():
"""printing shape of'heart' using for loop"""
for row in range(6):
for col in range(7):
if row-col==2 or row+col==8 or col%3!=0 and row==0 or col%3==0 and row==1:
print("*",end=" ")
else:
print(" ",end=" "... | 24.137931 | 87 | 0.4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 135 | 0.192857 |
9a0f75acc0d453f223e437b74a0cfe99d7909068 | 338 | py | Python | test_core.py | DominikPutz/lecture-spring-2021 | cce0970e261d45cbc16b3955d0659ca295ed8fc2 | [
"Apache-2.0"
] | null | null | null | test_core.py | DominikPutz/lecture-spring-2021 | cce0970e261d45cbc16b3955d0659ca295ed8fc2 | [
"Apache-2.0"
] | null | null | null | test_core.py | DominikPutz/lecture-spring-2021 | cce0970e261d45cbc16b3955d0659ca295ed8fc2 | [
"Apache-2.0"
] | 3 | 2021-03-23T14:48:38.000Z | 2022-01-13T09:45:08.000Z | from core import add
from core import sub
def test_add():
"""Check that `add()` works as expected"""
assert add(2, 3) == 5
def test_add_z():
"""Check that `add()` works as expected"""
assert add(2, 3, 1) == 6
def test_sub():
"""Check that `sub()` works as expected"""
asse... | 16.9 | 46 | 0.553254 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 126 | 0.372781 |
9a1128153dbcf8a364098445381dc767e17a1621 | 73 | py | Python | setup.py | AnnaUstiuzhanina/flake8_extension | 4d3c4a7ac6b8af4d0ed62bbe42c897edabe93383 | [
"MIT"
] | null | null | null | setup.py | AnnaUstiuzhanina/flake8_extension | 4d3c4a7ac6b8af4d0ed62bbe42c897edabe93383 | [
"MIT"
] | null | null | null | setup.py | AnnaUstiuzhanina/flake8_extension | 4d3c4a7ac6b8af4d0ed62bbe42c897edabe93383 | [
"MIT"
] | null | null | null | from __future__ import annotations
from setuptools import setup
setup()
| 14.6 | 34 | 0.835616 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9a11a05b881b07a6c93ac169600004f78ada2754 | 434 | py | Python | exercicios/Lista5/Q9.py | AlexandrePeBrito/CursoUdemyPython | 3de58cb30c9f333b32078309847179ff3f9d7e22 | [
"MIT"
] | null | null | null | exercicios/Lista5/Q9.py | AlexandrePeBrito/CursoUdemyPython | 3de58cb30c9f333b32078309847179ff3f9d7e22 | [
"MIT"
] | null | null | null | exercicios/Lista5/Q9.py | AlexandrePeBrito/CursoUdemyPython | 3de58cb30c9f333b32078309847179ff3f9d7e22 | [
"MIT"
] | null | null | null | #9. Façaumam função que receba a altura e o raio de um cilindro circular e retorne o volume
#do cilindro. O volume de um cilindro circular é calculado por meio da seguinte fórmula:
#V =pi*raio^2 x altura, onde pi = 3.141592.
def volCilindro(raio,altura):
return 3.1415926535*pow(raio,2)*altura
r=float(input("Inform... | 43.4 | 91 | 0.751152 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 289 | 0.658314 |
9a122e1fac70741e43cd706c1bfea367874d0fa7 | 1,714 | py | Python | sachima/publish.py | gitter-badger/Sachima | 76547fb6a21f1fea597994e6ee02c5db080d1e7a | [
"MIT"
] | null | null | null | sachima/publish.py | gitter-badger/Sachima | 76547fb6a21f1fea597994e6ee02c5db080d1e7a | [
"MIT"
] | null | null | null | sachima/publish.py | gitter-badger/Sachima | 76547fb6a21f1fea597994e6ee02c5db080d1e7a | [
"MIT"
] | null | null | null | import requests
from bs4 import BeautifulSoup
from sachima import conf
class Publisher(object):
@classmethod
def get_csrf_token(self, html):
soup = BeautifulSoup(html, "html.parser")
csrf = soup.find(id="csrf_token").attrs["value"]
return csrf
@classmethod
def to_superset(sel... | 32.961538 | 78 | 0.449242 | 1,651 | 0.956547 | 0 | 0 | 1,616 | 0.936269 | 0 | 0 | 315 | 0.182503 |
9a13bf9dda86cde96d1e704297f9ca1d15b1b6aa | 3,254 | pyw | Python | src/mediator/Main.pyw | fuqinshen/Python-- | aaa5230354258e1bba761e483c8b9fb6be00402a | [
"MIT"
] | 31 | 2018-10-19T15:28:36.000Z | 2022-02-14T03:01:25.000Z | src/mediator/Main.pyw | fuqinshen/Python-- | aaa5230354258e1bba761e483c8b9fb6be00402a | [
"MIT"
] | null | null | null | src/mediator/Main.pyw | fuqinshen/Python-- | aaa5230354258e1bba761e483c8b9fb6be00402a | [
"MIT"
] | 10 | 2019-01-10T04:02:12.000Z | 2021-11-17T01:52:15.000Z | import tkinter
class Main(tkinter.Frame):
def __init__(self, parent):
super().__init__(parent)
self.parent = parent
self.pack()
self.checkValue = tkinter.StringVar()
self.checkGuest = tkinter.Radiobutton(self, text="Guest", variable=self.checkValue, value="Guest",
... | 39.682927 | 106 | 0.567609 | 3,019 | 0.927781 | 0 | 0 | 0 | 0 | 0 | 0 | 321 | 0.098648 |
9a14a2d004a0836d3daffc7ee2ad09d95986fb4d | 2,190 | py | Python | runtests.py | ojii/django-statictemplate | 73a541b19ff39e92b02de5d2ee74e4df7d486d81 | [
"BSD-3-Clause"
] | 4 | 2015-09-28T10:06:45.000Z | 2019-09-20T05:53:03.000Z | runtests.py | ojii/django-statictemplate | 73a541b19ff39e92b02de5d2ee74e4df7d486d81 | [
"BSD-3-Clause"
] | 8 | 2015-06-15T13:06:43.000Z | 2018-12-23T13:37:20.000Z | runtests.py | ojii/django-statictemplate | 73a541b19ff39e92b02de5d2ee74e4df7d486d81 | [
"BSD-3-Clause"
] | 2 | 2015-09-23T05:07:00.000Z | 2015-10-20T15:43:19.000Z | # !/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
urlpatterns = [
]
DEFAULT_SETTINGS = dict(
INSTALLED_APPS=[
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sites',
'statictemplate',
],
DATABASES={
'default': {
'ENGINE': '... | 28.815789 | 70 | 0.622374 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,111 | 0.507306 |
9a1583710b1d1ad4cc13f28020664d7f22387e1e | 585 | py | Python | Courses/YandexAlgo/1/petya_the_inventor.py | searayeah/sublime-snippets | deff53a06948691cd5e5d7dcfa85515ddd8fab0b | [
"MIT"
] | null | null | null | Courses/YandexAlgo/1/petya_the_inventor.py | searayeah/sublime-snippets | deff53a06948691cd5e5d7dcfa85515ddd8fab0b | [
"MIT"
] | null | null | null | Courses/YandexAlgo/1/petya_the_inventor.py | searayeah/sublime-snippets | deff53a06948691cd5e5d7dcfa85515ddd8fab0b | [
"MIT"
] | null | null | null | x = input()
z = input()
splitter = [x[i:] for i in range(len(x))]
found_splitter = False
next_z = ""
for i in range(1, len(x) + 1):
if z[:i] in splitter:
found_splitter = True
next_z = z[i:]
if next_z[: len(x)] == x:
break
if i == len(z):
break
if next_z == "":
... | 19.5 | 49 | 0.471795 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0.010256 |
9a163185c3befcd4de02a4c3e143213f59c12c77 | 117 | py | Python | first_request.py | sgriffith3/2021_05_10_pyna | d732e1dd0fa03f1cef8f72fc9dcc09ec947f31a5 | [
"MIT"
] | null | null | null | first_request.py | sgriffith3/2021_05_10_pyna | d732e1dd0fa03f1cef8f72fc9dcc09ec947f31a5 | [
"MIT"
] | null | null | null | first_request.py | sgriffith3/2021_05_10_pyna | d732e1dd0fa03f1cef8f72fc9dcc09ec947f31a5 | [
"MIT"
] | null | null | null | import urllib.request
url = "https://google.com"
data = urllib.request.urlopen(url)
print(data)
print(data.read())
| 14.625 | 34 | 0.726496 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0.17094 |
9a1676b9866c375100521ac48277fdcc219264ce | 1,592 | py | Python | datawinners/blue/urls.py | ICT4H/dcs-web | fb0f53fad4401cfac1c1789ff28b9d5bda40c975 | [
"Apache-2.0"
] | 1 | 2015-11-02T09:11:12.000Z | 2015-11-02T09:11:12.000Z | datawinners/blue/urls.py | ICT4H/dcs-web | fb0f53fad4401cfac1c1789ff28b9d5bda40c975 | [
"Apache-2.0"
] | null | null | null | datawinners/blue/urls.py | ICT4H/dcs-web | fb0f53fad4401cfac1c1789ff28b9d5bda40c975 | [
"Apache-2.0"
] | null | null | null | from django.conf.urls.defaults import patterns, url
from datawinners.blue import view
from datawinners.blue.view import new_xform_submission_post, edit_xform_submission_post, get_attachment, attachment_download, guest_survey, public_survey
from datawinners.blue.view import ProjectUpload, ProjectUpdate
from datawinners.... | 61.230769 | 153 | 0.741834 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 693 | 0.435302 |
9a16fe83f8b00c1ae4b19a89510efa6538193e44 | 95 | py | Python | test2.py | marionettenspieler/pyneta | 56a2dba736daf57464b06978c80383787a736ced | [
"Apache-2.0"
] | null | null | null | test2.py | marionettenspieler/pyneta | 56a2dba736daf57464b06978c80383787a736ced | [
"Apache-2.0"
] | null | null | null | test2.py | marionettenspieler/pyneta | 56a2dba736daf57464b06978c80383787a736ced | [
"Apache-2.0"
] | null | null | null | print('hello man')
print('hello man')
print('hello man')
print('hello man')
print('hello man')
| 15.833333 | 18 | 0.684211 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 0.578947 |
9a1837e6b67fec245ab3af4f52d7d449ca21cff5 | 4,013 | py | Python | nvtabular/ds_writer.py | benfred/NVTabular | 5ab6d557868ac01eda26e9725a1a6e5bf7eda007 | [
"Apache-2.0"
] | null | null | null | nvtabular/ds_writer.py | benfred/NVTabular | 5ab6d557868ac01eda26e9725a1a6e5bf7eda007 | [
"Apache-2.0"
] | null | null | null | nvtabular/ds_writer.py | benfred/NVTabular | 5ab6d557868ac01eda26e9725a1a6e5bf7eda007 | [
"Apache-2.0"
] | null | null | null | #
# Copyright (c) 2020, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | 32.104 | 82 | 0.595315 | 3,260 | 0.81236 | 0 | 0 | 0 | 0 | 0 | 0 | 798 | 0.198854 |
9a18608a6d3310b926afa6ca71ff25504d52035f | 481 | py | Python | example/my_hook.py | Globidev/github-docker-hook | 716de2f79ca30221edd2b70f3f7c85e5d033bae9 | [
"MIT"
] | 2 | 2015-09-24T07:38:07.000Z | 2015-11-05T18:33:43.000Z | example/my_hook.py | Globidev/github-docker-hook | 716de2f79ca30221edd2b70f3f7c85e5d033bae9 | [
"MIT"
] | 2 | 2015-11-04T17:34:14.000Z | 2015-11-09T02:05:31.000Z | example/my_hook.py | Globidev/github-docker-hook | 716de2f79ca30221edd2b70f3f7c85e5d033bae9 | [
"MIT"
] | null | null | null | ROUTE = '/push'
PORT = 4242
IMAGE_NAME = 'globidocker/github-hook'
import docker
cli = docker.Client()
from lib.git import clone_tmp
def on_push(data, logger):
url = data['repository']['html_url']
logger.info('Cloning repository: "{}"...'.format(url))
with clone_tmp(url) as repo:
logger.info(... | 19.24 | 58 | 0.634096 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 126 | 0.261954 |
9a1861ac2df97b1bcfbdb3654e5d9c31f32e9e49 | 12,403 | py | Python | scripts/TestSuite/run_tests.py | ghorwin/MasterSim | 281b71e228435ca8fa02319bf2ce86b66b8b2b45 | [
"BSD-3-Clause"
] | 5 | 2021-11-17T07:12:54.000Z | 2022-03-16T15:06:39.000Z | scripts/TestSuite/run_tests.py | ghorwin/MasterSim | 281b71e228435ca8fa02319bf2ce86b66b8b2b45 | [
"BSD-3-Clause"
] | 25 | 2021-09-09T07:39:13.000Z | 2022-01-23T13:00:19.000Z | scripts/TestSuite/run_tests.py | ghorwin/MasterSim | 281b71e228435ca8fa02319bf2ce86b66b8b2b45 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
# Solver test suite runner script, used for
# * regression tests (default)
# * test-init runs (with --test-init option)
# * performance evaluation (with --performance option)
#
# 1. Regression tests (the default)
# - runs set of projects and compares physical results and solver stats
# - meant t... | 33.252011 | 120 | 0.689511 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6,021 | 0.485447 |
9a1b2360ed8259c0fd8d46c53ed3e0ed659879cf | 4,815 | py | Python | sigr/Anechoic.py | JerameyATyler/sigR | 25c895648c5f90f57baa95f2cdd097cd33259a07 | [
"MIT"
] | null | null | null | sigr/Anechoic.py | JerameyATyler/sigR | 25c895648c5f90f57baa95f2cdd097cd33259a07 | [
"MIT"
] | null | null | null | sigr/Anechoic.py | JerameyATyler/sigR | 25c895648c5f90f57baa95f2cdd097cd33259a07 | [
"MIT"
] | null | null | null | from torch.utils.data import Dataset
class Anechoic(Dataset):
def __init__(self, root, ttv, download=False, transform=None, target_transform=None, columns=None,
output_path=None):
from pathlib import Path
import os
ttvs = ['train', 'test', 'validate']
assert ttv ... | 37.038462 | 119 | 0.627414 | 3,972 | 0.824922 | 0 | 0 | 0 | 0 | 0 | 0 | 759 | 0.157632 |
9a1b3e2dbb66fc996ec081ab5ef13e302246dd49 | 1,410 | py | Python | scripts/update_covid_tracking_data.py | TomGoBravo/covid-data-public | 76cdf384f4e6b5088f0a8105a4fabc37c899015c | [
"MIT"
] | null | null | null | scripts/update_covid_tracking_data.py | TomGoBravo/covid-data-public | 76cdf384f4e6b5088f0a8105a4fabc37c899015c | [
"MIT"
] | null | null | null | scripts/update_covid_tracking_data.py | TomGoBravo/covid-data-public | 76cdf384f4e6b5088f0a8105a4fabc37c899015c | [
"MIT"
] | null | null | null | import logging
import datetime
import pathlib
import pytz
import requests
import pandas as pd
DATA_ROOT = pathlib.Path(__file__).parent.parent / "data"
_logger = logging.getLogger(__name__)
class CovidTrackingDataUpdater(object):
"""Updates the covid tracking data."""
HISTORICAL_STATE_DATA_URL = "http://covi... | 30 | 75 | 0.685816 | 1,104 | 0.782979 | 0 | 0 | 512 | 0.363121 | 0 | 0 | 342 | 0.242553 |
9a1e2ae93bc1197259db93644405545d0b6670ce | 1,100 | py | Python | src/chatty/auth/auth.py | CITIZENSHIP-CHATTY/backend | 8982a0f3cff8ba2efe6a903bb4ab47f9c6044487 | [
"MIT"
] | null | null | null | src/chatty/auth/auth.py | CITIZENSHIP-CHATTY/backend | 8982a0f3cff8ba2efe6a903bb4ab47f9c6044487 | [
"MIT"
] | 4 | 2020-04-19T09:25:46.000Z | 2020-05-07T20:20:04.000Z | src/chatty/auth/auth.py | CITIZENSHIP-CHATTY/backend | 8982a0f3cff8ba2efe6a903bb4ab47f9c6044487 | [
"MIT"
] | null | null | null | from chatty import utils
from aiohttp import web
from chatty.auth.models import User
async def registration(request):
auth_data = await request.json()
if not await utils.validation_credentials(auth_data):
return web.json_response({"message": "Invalid credentials"}, status=400)
await User.create(... | 32.352941 | 99 | 0.708182 | 0 | 0 | 0 | 0 | 0 | 0 | 1,008 | 0.916364 | 227 | 0.206364 |
9a21fd4ed5ae1c86fb6e590a1edd2f37df8e132c | 1,220 | py | Python | CustomerProfiles/delete-customer-profile.py | adavidw/sample-code-python | e02f8856c11439cebd67d98fb43431cd4b95316e | [
"MIT"
] | 36 | 2015-11-18T22:35:39.000Z | 2022-03-21T10:13:23.000Z | CustomerProfiles/delete-customer-profile.py | adavidw/sample-code-python | e02f8856c11439cebd67d98fb43431cd4b95316e | [
"MIT"
] | 23 | 2016-02-02T06:09:16.000Z | 2020-03-06T22:54:55.000Z | CustomerProfiles/delete-customer-profile.py | adavidw/sample-code-python | e02f8856c11439cebd67d98fb43431cd4b95316e | [
"MIT"
] | 82 | 2015-11-22T11:46:33.000Z | 2022-03-18T02:46:48.000Z | import os, sys
import imp
from authorizenet import apicontractsv1
from authorizenet.apicontrollers import *
constants = imp.load_source('modulename', 'constants.py')
def delete_customer_profile(customerProfileId):
merchantAuth = apicontractsv1.merchantAuthenticationType()
merchantAuth.name = constants.apiLogi... | 38.125 | 120 | 0.788525 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 158 | 0.129508 |
9a25b6f7b3f250cb0ca3c95cee4acba5e53203f1 | 3,659 | py | Python | python/xskipper/indexbuilder.py | guykhazma/xskipper | 058712e744e912bd5b22bc337b9d9ff2fc6b1036 | [
"Apache-2.0"
] | 31 | 2021-01-27T15:03:18.000Z | 2021-12-13T11:09:58.000Z | python/xskipper/indexbuilder.py | guykhazma/xskipper | 058712e744e912bd5b22bc337b9d9ff2fc6b1036 | [
"Apache-2.0"
] | 20 | 2021-02-01T16:42:17.000Z | 2022-01-26T10:48:59.000Z | python/xskipper/indexbuilder.py | guykhazma/xskipper | 058712e744e912bd5b22bc337b9d9ff2fc6b1036 | [
"Apache-2.0"
] | 12 | 2021-01-27T14:50:11.000Z | 2021-08-10T22:13:46.000Z | # Copyright 2021 IBM Corp.
# SPDX-License-Identifier: Apache-2.0
from pyspark.sql.dataframe import DataFrame
from py4j.java_collections import MapConverter
class IndexBuilder:
"""
Helper class for building indexes
:param sparkSession: SparkSession object
:param uri: the URI of the dataset / the ident... | 38.114583 | 108 | 0.625854 | 3,500 | 0.956546 | 0 | 0 | 0 | 0 | 0 | 0 | 1,643 | 0.44903 |
9a25e9fa72dd391d4676f6e0a6bb06f9710db5d6 | 1,837 | py | Python | matilda/data_pipeline/data_streaming/consumer.py | AlainDaccache/Quantropy | 6cfa06ed2b764471382ebf94d40af867f10433bb | [
"MIT"
] | 45 | 2021-01-28T04:12:21.000Z | 2022-02-24T13:15:50.000Z | matilda/data_pipeline/data_streaming/consumer.py | AlainDaccache/Quantropy | 6cfa06ed2b764471382ebf94d40af867f10433bb | [
"MIT"
] | 32 | 2021-03-02T18:45:16.000Z | 2022-03-12T00:53:10.000Z | matilda/data_pipeline/data_streaming/consumer.py | AlainDaccache/Quantropy | 6cfa06ed2b764471382ebf94d40af867f10433bb | [
"MIT"
] | 10 | 2020-12-25T15:02:40.000Z | 2021-12-30T11:40:15.000Z | from kafka.consumer import KafkaConsumer
from json import loads
from mongoengine import *
from matilda.data_pipeline import object_model
consumer = KafkaConsumer(
'numtest', # kafka topic
bootstrap_servers=['localhost:9092'], # same as our producer
# It handles where the consumer restarts reading after... | 42.72093 | 116 | 0.740338 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,155 | 0.628743 |
9a26ea77dac1512349aaac759f21f3e326122e27 | 746 | py | Python | src/graphs/python/bfs/src/bfs.py | djeada/GraphAlgorithms | 0961303ec20430f90053a4efb9074185f96dfddc | [
"MIT"
] | 2 | 2021-05-31T13:01:33.000Z | 2021-12-20T19:48:18.000Z | src/graphs/python/bfs/src/bfs.py | djeada/GraphAlgorithms | 0961303ec20430f90053a4efb9074185f96dfddc | [
"MIT"
] | null | null | null | src/graphs/python/bfs/src/bfs.py | djeada/GraphAlgorithms | 0961303ec20430f90053a4efb9074185f96dfddc | [
"MIT"
] | null | null | null | from graph import Graph
def bfs(graph, source, destination):
if not (graph.contains(source) and graph.contains(destination)):
return float("inf")
distances = dict()
visited = dict()
for vertex in graph.vertices():
distances[vertex] = float("inf")
visited[vertex]... | 21.314286 | 69 | 0.548257 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0.013405 |
9a2736448f820e4e81087e8a5353235f998513f8 | 55,584 | py | Python | fhir/resources/tests/test_claim.py | cstoltze/fhir.resources | 52f99738935b7313089d89daf94d73ce7d167c9d | [
"BSD-3-Clause"
] | 144 | 2019-05-08T14:24:43.000Z | 2022-03-30T02:37:11.000Z | fhir/resources/tests/test_claim.py | cstoltze/fhir.resources | 52f99738935b7313089d89daf94d73ce7d167c9d | [
"BSD-3-Clause"
] | 82 | 2019-05-13T17:43:13.000Z | 2022-03-30T16:45:17.000Z | fhir/resources/tests/test_claim.py | cstoltze/fhir.resources | 52f99738935b7313089d89daf94d73ce7d167c9d | [
"BSD-3-Clause"
] | 48 | 2019-04-04T14:14:53.000Z | 2022-03-30T06:07:31.000Z | # -*- coding: utf-8 -*-
"""
Profile: http://hl7.org/fhir/StructureDefinition/Claim
Release: R4
Version: 4.0.1
Build ID: 9346c8cc45
Last updated: 2019-11-01T09:29:23.356+11:00
"""
from pydantic.validators import bytes_validator # noqa: F401
from .. import fhirtypes # noqa: F401
from .. import claim
def impl_claim_1... | 43.527016 | 88 | 0.664904 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13,726 | 0.246942 |
9a27eb495106ade83e880e4a8a449d48c322f96d | 2,708 | py | Python | bin/main.py | ubern-mia/point-cloud-segmentation-miccai2019 | b131b62dc5016de53611f3a743c56cc0061e050f | [
"MIT"
] | 20 | 2019-10-14T06:03:10.000Z | 2022-02-04T04:44:38.000Z | bin/main.py | ubern-mia/point-cloud-segmentation-miccai2019 | b131b62dc5016de53611f3a743c56cc0061e050f | [
"MIT"
] | 11 | 2019-06-10T12:31:23.000Z | 2022-03-12T00:04:28.000Z | bin/main.py | fabianbalsiger/point-cloud-segmentation-miccai2019 | b131b62dc5016de53611f3a743c56cc0061e050f | [
"MIT"
] | 3 | 2019-11-06T14:06:44.000Z | 2021-08-11T18:46:25.000Z | import argparse
import os.path
import sys
sys.path.append(
os.path.abspath(os.path.join(os.path.dirname(__file__), os.path.pardir)))
import pymia.deeplearning.logging as log
import tensorflow as tf
import pc.configuration.config as cfg
import pc.data.handler as hdlr
import pc.data.split as split
import pc.model.... | 33.85 | 113 | 0.679838 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 605 | 0.223412 |
9a285d7173b98f84f370605c57bfb8c26d5b2158 | 1,586 | py | Python | spynoza/unwarping/topup/nodes.py | spinoza-centre/spynoza | d71d69e3ea60c9544f4e63940f053a2d1b3ac65f | [
"MIT"
] | 7 | 2016-06-21T11:51:07.000Z | 2018-08-10T15:41:37.000Z | spynoza/unwarping/topup/nodes.py | spinoza-centre/spynoza | d71d69e3ea60c9544f4e63940f053a2d1b3ac65f | [
"MIT"
] | 12 | 2017-07-05T09:14:31.000Z | 2018-09-13T12:19:14.000Z | spynoza/unwarping/topup/nodes.py | spinoza-centre/spynoza | d71d69e3ea60c9544f4e63940f053a2d1b3ac65f | [
"MIT"
] | 8 | 2016-09-26T12:35:59.000Z | 2021-06-05T05:50:23.000Z | from nipype.interfaces.utility import Function
def topup_scan_params(pe_direction='y', te=0.025, epi_factor=37):
import numpy as np
import os
import tempfile
scan_param_array = np.zeros((2, 4))
scan_param_array[0, ['x', 'y', 'z'].index(pe_direction)] = 1
scan_param_array[1, ['x', 'y', 'z'].in... | 33.041667 | 78 | 0.592686 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 193 | 0.12169 |
9a287484855658cc91349375e1c4b8e475ab1fe0 | 1,317 | py | Python | manage_env.py | sandeep-gh/OpenBSDRemoteIT | 1690e67b6e2eb106c5350c75915065457fb1b9b2 | [
"MIT"
] | null | null | null | manage_env.py | sandeep-gh/OpenBSDRemoteIT | 1690e67b6e2eb106c5350c75915065457fb1b9b2 | [
"MIT"
] | null | null | null | manage_env.py | sandeep-gh/OpenBSDRemoteIT | 1690e67b6e2eb106c5350c75915065457fb1b9b2 | [
"MIT"
] | null | null | null | import os
import pickle
from deployConfig import workDir
import sys
env_fp = f"{workDir}/env.pickle"
def add_to_env(varname, path):
with open(env_fp, "rb") as fh:
envvars = pickle.load(fh)
if varname in envvars.keys():
if path not in envvars[varname]:
envvars[varname].append(path)... | 28.630435 | 90 | 0.59757 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 515 | 0.39104 |