max_stars_repo_path stringlengths 4 237 | max_stars_repo_name stringlengths 6 117 | max_stars_count int64 0 95.2k | id stringlengths 1 7 | content stringlengths 12 593k | input_ids listlengths 7 549k |
|---|---|---|---|---|---|
27 Improve Performance with Algorithm Tuning/grid_search.py | IshmaelAsabere/Machine_Learning-Various-Topics | 0 | 1600201 | <gh_stars>0
# Grid Search for Algorithm Tuning
import numpy
from pandas import read_csv
from sklearn.linear_model import RidgeClassifier
from sklearn.model_selection import GridSearchCV
filename = 'pima-indians-diabetes.data.csv'
names = ['preg', 'plas', 'pres', 'skin', 'test', 'mass', 'pedi', 'age', 'class']
dataframe... | [
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yank/interface_database_mixin.py | khunspoonzi/yank | 1 | 107465 | <reponame>khunspoonzi/yank
# ┌────────────────────────────────────────────────────────────────────────────────────┐
# │ GENERAL IMPORTS │
# └────────────────────────────────────────────────────────────────────────────────────┘
from datetime import date... | [
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1982... |
exe041 - classificando Atletas.py | carlosbandelli/Exercicios_em_Python | 0 | 194174 | from datetime import date
atual = date.today().year
nascimento = int(input('Ano de nascimento: '))
idade = atual - nascimento
print(f'O atleta tem {idade} anos.')
if idade <= 9:
print('Classificação: MIRIM')
elif idade <= 14:
print ('Classificação: INFANTIL')
elif idade <= 19:
print('Classificação: JUNIOR')... | [
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chrome/common/extensions/docs/server2/app_yaml_helper_test.py | iplo/Chain | 231 | 46368 | #!/usr/bin/env python
# Copyright 2013 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import unittest
from app_yaml_helper import AppYamlHelper
from extensions_paths import SERVER2
from host_file_system_provider import H... | [
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moving_average_example.py | channolanp/QtScript | 0 | 190399 | import sys
from QtScript import QtScript
from PyQt5.QtWidgets import *
from PyQt5.QtCore import Qt
import moving_average_script
if __name__ == '__main__':
#First start off by starting the QApplication for PyQt5
app = QApplication(sys.argv)
'''
Use the QtScript class as the application window
There... | [
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infrastructure/app.py | akozd/web-service | 0 | 1606862 | <gh_stars>0
#!/usr/bin/env python3
from aws_cdk import core
from infrastructure.infrastructure_stack import InfrastructureStack
app = core.App()
InfrastructureStack(app, 'InfrastructureStack')
app.synth()
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geojson_rewind/rewind.py | chris48s/geojson-rewind | 15 | 34126 | <gh_stars>10-100
import argparse
import copy
import json
import logging
import math
import sys
RADIUS = 6378137
def rewind(geojson, rfc7946=True):
gj = copy.deepcopy(geojson)
_check_crs(geojson)
if isinstance(gj, str):
return json.dumps(_rewind(json.loads(gj), rfc7946))
else:
return _... | [
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python/django/app/views.py | mattiapenati/web-frameworks | 5,710 | 87665 | from django.http import HttpResponse
from django.views.decorators.csrf import csrf_exempt
def index(request):
return HttpResponse(status=200)
def get_user(request, id):
return HttpResponse(id)
@csrf_exempt
def create_user(request):
return HttpResponse(status=200)
| [
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tests/btjanaka_test.py | btjanaka/btjanaka-pypi | 1 | 107647 | <gh_stars>1-10
"""Tests for btjanaka."""
import btjanaka
def test_calls():
"""Try calling every method."""
for name, method in btjanaka.__dict__.items():
if not name.startswith("_") and callable(method):
method()
def test_counting():
"""Test counting - copy this to README."""
num... | [
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1... |
Udemy_PythonBootcamp/Sec15_WebScraping.py | gonzalosc2/LearningPython | 0 | 11858 | ####################################
# author: <NAME>
# course: 2020 Complete Python Bootcamps: From Zero to Hero in Python
# purpose: lecture notes
# description: Section 15 - Web Scraping
# other: N/A
####################################
# RULES
# 1. always try to get permission before scraping, otherwise I might be... | [
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1148... |
01/01_g_swap_numbers.py | srinijadharani/DataStructuresLab | 0 | 1617682 | <reponame>srinijadharani/DataStructuresLab
# 1g. Program to swap two numbers
num1 = int(input("Enter the first number: "))
num2 = int(input("Enter the second number: "))
print("The numbers before swapping are - num1: {} and num2: {}." .format(num1, num2))
# logic for swapping two numbers
num1, num2 = num2, nu... | [
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seqtag/model.py | fedelopez77/seqtag | 1 | 1603458 |
from torch import nn
from seqtag.embedding_model import get_embedding_model
class SequenceTaggingModel(nn.Module):
def __init__(self, args):
super().__init__()
self.embedding_model = get_embedding_model(args.language_model)
embed_size = self.embedding_model.config.hidden_size
se... | [
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tests/logic/test_instruments.py | nilsholle/sampledb | 5 | 1616913 | <reponame>nilsholle/sampledb<gh_stars>1-10
# coding: utf-8
"""
"""
import pytest
import sampledb
from sampledb.models import User, UserType
from sampledb.logic import instruments, errors
def test_create_instrument():
assert len(instruments.get_instruments()) == 0
instrument = instruments.create_instrument()... | [
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appendix/introduction.to.programming.with.turtle/5-5-1.fill.curve.py | royqh1979/programming_with_python | 5 | 151654 | <reponame>royqh1979/programming_with_python
from easygraphics.turtle import *
def Fill(size, level):
if level == 0:
fd(size)
return
Fill(size / 3, level - 1)
lt(90)
Fill(size / 3, level - 1)
for i in range(3):
rt(90)
Fill(size / 3, level - 1)
for i in range(3):
... | [
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InterviewBit/Trees/min_depth_binary_tree.py | codervikash/online-courses | 0 | 129075 | <filename>InterviewBit/Trees/min_depth_binary_tree.py<gh_stars>0
"""
Given a binary tree, find its minimum depth.
The minimum depth is the number of nodes along the shortest path from the root node down to the nearest leaf node.
NOTE : The path has to end on a leaf node.
Example :
1
/
2
min ... | [
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test-suite/generated-src/python/dh__set_interface_Conflict.py | ubook-editora/finn | 3 | 193405 | # AUTOGENERATED FILE - DO NOT MODIFY!
# This file generated by Djinni from test.djinni
from djinni.support import MultiSet # default imported in all files
from djinni.exception import CPyException # default imported in all files
from djinni.pycffi_marshal import CPyObject, CPyObjectProxy
from Conflict import Conflict... | [
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scripts/deposit_test.py | shiqinfeng1/alphahomora-bsc | 11 | 120778 | from brownie import accounts, interface, Contract
from brownie import (Bank, SimpleBankConfig, SimplePriceOracle, PancakeswapPool1Goblin,
StrategyAllBNBOnly, StrategyLiquidate, StrategyWithdrawMinimizeTrading, StrategyAddTwoSidesOptimal, PancakeswapGoblinConfig, TripleSlopeModel, ConfigurableIntere... | [
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test/test_topology_handler.py | atlanticwave-sdx/datamodel | 0 | 115119 | <filename>test/test_topology_handler.py<gh_stars>0
import unittest
import sdxdatamodel.parsing
from sdxdatamodel.parsing.topologyhandler import TopologyHandler
from sdxdatamodel.parsing.exceptions import DataModelException
TOPOLOGY_AMLIGHT = './test/data/amlight.json'
class TestTopologyHandler(unittest.TestCase):
... | [
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setup.py | lucgiffon/propol | 0 | 179187 | <filename>setup.py
from setuptools import find_packages, setup
setup(
name='src',
packages=find_packages(),
version='0.1.0',
description='Try to make projection of political parties or people in avector space in order to enable visualisation.',
author='<NAME>',
license='MIT',
entry_points={... | [
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MergeSortedLinkLists/MergeKsortedlinkedlists00.py | tnkteja/notthisagain | 0 | 112387 | <gh_stars>0
from heapq import heappushpop
def solution(A): | [
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2
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mt/mvae/models/ffnn_vae.py | macio232/mvae | 53 | 84152 | # Copyright 2019 <NAME>.
#
# 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, softw... | [
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sample-viewer-api/src/api/elisa_parser.py | cvisb/cvisb_data | 2 | 118224 | from pyparsing import (CaselessKeyword, Optional, Forward, Regex, operatorPrecedence, opAssoc, ParserElement)
from biothings.utils.common import is_str
import re
ParserElement.enablePackrat()
and_ = CaselessKeyword("AND")
or_ = CaselessKeyword("OR")
not_ = CaselessKeyword("NOT")
keyword = and_ | or_ | not_
expressio... | [
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lightconfig/lightconfig.py | daassh/LightConfig | 2 | 32525 | <reponame>daassh/LightConfig
#!/usr/bin/env python
# coding=utf-8
# get a easy way to edit config file
"""
>>> from lightconfig import LightConfig
>>> cfg = LightConfig("config.ini")
>>> cfg.section1.option1 = "value1"
>>> print(cfg.section1.option1)
value1
>>> "section1" in cfg
True
>>> "option1" in cfg.section1
True
... | [
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2... |
run.py | 1008siang/Razer_UserAgent | 0 | 102233 | #%%
from user_agents import parse
user_agent = "Mozilla/5.0 (Linux; Android 10; SM-N960F Build/QP1A.190711.020; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/78.0.3904.62 XWEB/2889 MMWEBSDK/20210902 Mobile Safari/537.36 MMWEBID/1696 MicroMessenger/8.0.15.2001(0x28000F41) Process/to"
ua = parse(user_a... | [
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backend/utlis/crypt.py | shuttlesworthNEO/ClashHacks-methOD | 0 | 125035 | import numpy as np
import pandas as pd
import theano
from keras.layers import Dense
from keras.models import Model,load_model
def crypto(x):
encoder = load_model("/home/vasu/all_projects/Hackathons/ClashHacks-methOD/backend/utlis/encoder.h5")
x = list(x)
for ix in range(len(x)):
x[ix] = int(x[ix], 16)
y = ... | [
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Python_Exercise/py_exercise_twenty_five.py | kindyluv/My_Personal_Python_Exercises | 0 | 101274 | <reponame>kindyluv/My_Personal_Python_Exercises
price = 1000000
good_credit = True
high_income = True
if good_credit and high_income:
down_payment = 1.0 * price
print(f"eligible for loan")
else:
down_payment = 2.0 * price
print(f"ineligible for loan")
print(f"down payment is {down_payment}"... | [
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ch_14/tests/test_weather_threads.py | real-slim-chadi/Python-Object-Oriented-Programming---4th-edition | 43 | 163635 | <reponame>real-slim-chadi/Python-Object-Oriented-Programming---4th-edition
"""
Python 3 Object-Oriented Programming
Chapter 14. Concurrency
"""
from pytest import *
from unittest.mock import Mock, mock_open, call
import weather_threads
def test_station():
halifax = weather_threads.Station("NS", "s0000318")
a... | [
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src/cogs/core/core.py | vcokltfre/Zeek | 0 | 43052 | <filename>src/cogs/core/core.py
from datetime import datetime
from os import getenv
from discord import Message, RawMessageDeleteEvent
from discord.ext import commands
from src.internal.bot import Bot
class Core(commands.Cog):
"""Core metric collection."""
def __init__(self, bot: Bot):
self.bot = b... | [
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horizon/openstack_dashboard/dashboards/cdn/cdn_monitor_report/urls.py | yianjiajia/openstack_horizon | 0 | 177678 | <filename>horizon/openstack_dashboard/dashboards/cdn/cdn_monitor_report/urls.py<gh_stars>0
from django.conf.urls import patterns
from django.conf.urls import url
from .views import IndexView, ajax_view
urlpatterns = patterns('',
url(r'^$', IndexView.as_view(), name='index'),
url(r'^\?tab=monitor_report__data_... | [
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formTest.py | faisalarkan21/mbti-test-qt | 0 | 109282 | <reponame>faisalarkan21/mbti-test-qt
__author__ = 'faisal21'
import sys
from PyQt4 import QtGui
from PyQt4.QtGui import QDialog
from PyQt4 import QtCore
from dialog import Ui_Dialog
from Tkinter import *
class Test(QtGui.QDialog,Toplevel):
def __init__(self,parent):
QtGui.QMainWindow.__init__(... | [
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entity/Server.py | FAWC-bupt/Hotel-Air-Conditioning-Dispatching-System | 1 | 154862 | import threading
from enum import IntEnum
class Mode(IntEnum):
Cold = 0
Hot = 1
class WindLevel(IntEnum):
NoWind = 0
Level_1 = 1
Level_2 = 2
Level_3 = 3
class Algorithm(IntEnum):
Priority = 0
RR = 1
class Server(object):
"""
服务器，是单例模式
"""
_instance_lock = threadi... | [
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oompa/tracking/github/GitHubTracker.py | sjtsp2008/oompa | 2 | 123550 | <gh_stars>1-10
#
# GitHubTracker.py
#
"""
package oompa.tracking.github
"""
import os
import sys
import time
from datetime import datetime
from oompa.tracking.github import github_utils
from oompa.tracking.github.GitHub3Helper import GitHub3Helper
from oompa.tracking.TagManager import TagM... | [
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gwv/validators/illegal.py | kurgm/gwv | 1 | 55743 | <gh_stars>1-10
from gwv.dump import Dump
import gwv.filters as filters
from gwv.helper import isKanji
from gwv.helper import isYoko
from gwv.kagedata import KageData
from gwv.validators import Validator
from gwv.validators import ErrorCodes
error_codes = ErrorCodes(
UNKNOWN_STROKE_TYPE="0", # 未定義の筆画
TOO_FEW_... | [
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2... |
cubi_tk/snappy/itransfer_common.py | LaborBerlin/cubi-tk | 0 | 145728 | <filename>cubi_tk/snappy/itransfer_common.py
"""Common code for ``cubi-tk snappy itransfer-*`` commands."""
import argparse
import datetime
import glob
import os
import typing
from ctypes import c_ulonglong
from multiprocessing import Value
from multiprocessing.pool import ThreadPool
from subprocess import check_outpu... | [
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faro/utils.py | cgiraldo/FARO | 0 | 27904 | import re
import gensim.utils as gensim_utils
def normalize_text_proximity(message):
""" Clean text of dots between words
Keyword arguments:
message -- a plain sentence or paragraph
"""
sent = message.lower()
sent = sent.replace("á", "a")
sent = sent.replace("é", "e")
sent = sen... | [
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htvlearn/plots/base_plot.py | joaquimcampos/HTV-Learn | 1 | 1611972 | <gh_stars>1-10
import os
import copy
import numpy as np
import plotly.graph_objects as go
import plotly.io as pio
import matplotlib.cm as cm
from htvlearn.data import Data
class BasePlot():
colorscale = 'coolwarm' # default colorscale
def __init__(self,
data_obj=None,
log... | [
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... |
examples/color_example.py | plezmo/python-sdk-examples | 0 | 132051 | # Copyright (c) 2019 Gunakar Pvt Ltd
# All rights reserved.
# Redistribution and use in source and binary forms, with or without
# modification, are permitted (subject to the limitations in the disclaimer
# below) provided that the following conditions are met:
# * Redistributions of source code must retain the ... | [
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... |
codeferm/observer.py | Kulanx/sleeping_quality_evaluator | 64 | 1605629 | <reponame>Kulanx/sleeping_quality_evaluator<filename>codeferm/observer.py<gh_stars>10-100
"""
Created on Apr 14, 2017
@author: sgoldsmith
Copyright (c) <NAME>
All rights reserved.
"""
class observer(object):
"""A class of thing that observes an Observable.
The Observable will call the Observer"s obser... | [
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snn_lib/optimizers.py | zhongyuchen/snn-iir | 5 | 85796 | <reponame>zhongyuchen/snn-iir<gh_stars>1-10
# -*- coding: utf-8 -*-
"""
# File Name : optimizers.py
# Author: <NAME>
# Email: <EMAIL>
# Description: optimizers.
"""
import torch
import omegaconf
from omegaconf import OmegaConf
def get_optimizer(params, conf):
optimizer_conf = conf['optimizer']
optimizer_cho... | [
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essentials_kit_management/tests/interactors/test_get_pay_through_details_interactor.py | RajeshKumar1490/iB_hubs_mini_project | 0 | 187132 | <gh_stars>0
from mock import create_autospec
from essentials_kit_management.interactors.\
get_pay_through_details_interactor import GetPayThroughDetailsInteractor
from essentials_kit_management.interactors.storages.storage_interface \
import StorageInterface
from essentials_kit_management.interactors.presenters... | [
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l3ns/swarm/subnet.py | rukmarr/l3ns | 3 | 72336 | from .. import ldc
from .node import SwarmNode
class SwarmSubnet(ldc.DockerSubnet):
def __init__(self, *args, size: int = 510, **kwargs):
self._cluster_hosts = {}
self._offset = size
super().__init__(*args, size=size*2, **kwargs)
def add_node(self, node: 'SwarmNode'):
ip_add... | [
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ABC/206/a_1.py | fumiyanll23/AtCoder | 0 | 100195 | def main():
# input
N = int(input())
# compute
N = int(1.08*N)
# output
if N < 206:
print('Yay!')
elif N == 206:
print('so-so')
else:
print(':(')
if __name__ == '__main__':
main()
| [
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OpenCV/Histogramas/h6.py | matewszz/Python | 0 | 31235 | <reponame>matewszz/Python
import dlib
import cv2
image = cv2.imread("../testeOpenCV.jpg")
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
hogFaceDetector = dlib.get_frontal_face_detector()
faces = hogFaceDetector(gray, 1)
for (i, rect) in enumerate(faces):
x = rect.left()
y = rect.top()
w = rect.right() - ... | [
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dash_docs/chapters/dash_vtk/click_hover/index.py | wesleyacheng/dash-docs | 379 | 103544 | import dash_html_components as html
import dash_vtk
from dash_docs import tools
from dash_docs import styles
from dash_docs import reusable_components as rc
examples = tools.load_examples(__file__)
layout = html.Div([
rc.Markdown('''
# Click and Hover Callbacks
It's possible to create callbacks based on ... | [
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... |
braistow method.py | pramotharun/Numerical-Methods-with-Python | 0 | 161634 | <gh_stars>0
#Bairstow Method
import numpy as np
n = int(input("Degree of polynomial"))
p = float(input("P value"))
q = float(input("q value"))
no_iterations = int(input("number of iterations"))
a = np.zeros((n+2,1))
b = np.zeros((n+2,1))
c = np.zeros((n+2,1))
j = n+1
for i in range(n+1):
a[i] = float(input("E... | [
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python_plot.py | prusinski/NU_REU_git_NZP | 0 | 114202 | <filename>python_plot.py
%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
#plot exponential curve from 0 to 2pi
t = np.linspace(0,2*np.pi,100)
plt.plot(t,np.exp(t),'m', label = 'Exponential Curve')
plt.title('Plot of $e^x$')
plt.xlabel('t (s)')
plt.ylabel('$y(t)$')
plt.legend()
plt.grid()
plt.tex... | [
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day 12/Martijn - Python/passage_pathing.py | AE-nv/aedvent-code-2021 | 1 | 175111 | def append_node_to_dict(node1, node2, dict_connections):
if not node1 in dict_connections:
dict_connections[node1] = [node2]
else:
node_connections = dict_connections[node1]
if not node2 in node_connections:
node_connections.append(node2)
dict_connections[node1] =... | [
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NasUnet/util/datasets/__init__.py | mlvc-lab/Segmentation-NAS | 4 | 135180 | <gh_stars>1-10
from torchvision.datasets import *
from .base import *
from .coco import COCOSegmentation
from .ade20k import ADE20KSegmentation
from .pascal_voc import VOCSegmentation
from .pascal_aug import VOCAugSegmentation
from .pcontext import ContextSegmentation
from .minc import MINCDataset
from .ultrasound_nerv... | [
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compare_mt/sign_utils.py | maks5507/compare-mt | 401 | 1615077 | ########################################################################################
# Compare two systems using bootstrap resampling #
# adapted from https://github.com/neubig/util-scripts/blob/master/paired-bootstrap.py #
# ... | [
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arxpy/differential/difference.py | hukaisdu/ArxPy | 25 | 95392 | """Manipulate differences."""
import collections
from arxpy.bitvector import core
from arxpy.bitvector import operation
from arxpy.bitvector import extraop
def _tuplify(seq):
if isinstance(seq, collections.abc.Sequence):
return tuple(seq)
else:
return tuple([seq])
class Difference(object):
... | [
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8111,
1053... |
research/object_detection/kshitij_inference.py | nikhalster/models | 0 | 140830 | <filename>research/object_detection/kshitij_inference.py
import pathlib
import cv2
import numpy as np
import os
import six.moves.urllib as urllib
import sys
import tarfile
import tensorflow as tf
import zipfile
from collections import defaultdict
from io import StringIO
from matplotlib import pyplot as plt
from PIL i... | [
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tests/test_load_spec.py | rai-project/scope_plot | 0 | 179865 | <gh_stars>0
import os
from scope_plot.specification import Specification
FIXTURES_DIR = os.path.join(
os.path.dirname(os.path.realpath(__file__)), "..", "__fixtures")
def test_bokeh_errorbar_spec():
figure_spec = Specification.load_yaml(
os.path.join(FIXTURES_DIR, "bokeh_errorbar.yml"))
assert fi... | [
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algorithms/algorithms/searching/binary_search/problems/search_in_rotated_sorted_array.py | givek/algorithms | 0 | 150802 | <filename>algorithms/algorithms/searching/binary_search/problems/search_in_rotated_sorted_array.py
# Link: https://leetcode.com/problems/search-in-rotated-sorted-array/
# Time: O(LogN)
# Space: O(1)
# As the given array is rotated sorted, binary search cannot be applied directly.
def search(nums, target):
start... | [
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tests/grab_upload_file.py | alexey-v-paramonov/grab | 0 | 195127 | <gh_stars>0
# coding: utf-8
import os
from grab import UploadContent, UploadFile
from tests.util import build_grab, temp_file, BaseGrabTestCase
class TestUploadContent(BaseGrabTestCase):
def setUp(self):
self.server.reset()
def prepare_form_grab(self):
url = self.server.get_url()
htm... | [
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test/unit/common/test_header_key_dict.py | OyTao/swift-learning | 0 | 140227 | <reponame>OyTao/swift-learning<gh_stars>0
# Copyright (c) 2012 OpenStack Foundation
#
# 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
#
# Unles... | [
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src/data/preprocessors/__init__.py | paulwarkentin/tf-ssd-vgg | 5 | 20928 | ##
## /src/data/preprocessors/__init__.py
##
## Created by <NAME> <<EMAIL>> on 15/07/2018.
## Updated by <NAME> <<EMAIL>> on 15/07/2018.
##
from .bbox_preprocessor import BBoxPreprocessor
from .default_preprocessor import DefaultPreprocessor
from .image_preprocessor import ImagePreprocessor
| [
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store/templatetags/diffsize.py | Wikidata/editgroups | 11 | 1610395 | from django import template
from django.utils.html import escape
from django.utils.safestring import mark_safe
register = template.Library()
@register.filter(is_safe=True)
def diffsize(edit):
if type(edit) == int:
diffsize = edit
else:
diffsize = edit['newlength'] - edit['oldlength']
diffs... | [
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python/testData/resolve/multiFile/reimportExported/ReimportExported.py | jnthn/intellij-community | 2 | 106041 | <filename>python/testData/resolve/multiFile/reimportExported/ReimportExported.py
import mypackage.foo
mypackage.bar.dostuff()
# <ref>
| [
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pokemon_go_hunter/watch_twitter.py | juharris/pokemon-go-hunter | 0 | 120350 | <filename>pokemon_go_hunter/watch_twitter.py
import logging
import os
import re
import time
import twitter
import yaml
from pushbullet import Pushbullet
def get_config():
config_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), '../config.yaml')
with open(config_path) as f:
return yaml.... | [
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scvelo/tools/utils.py | gokceneraslan/scvelo | 0 | 137772 | <filename>scvelo/tools/utils.py
from scipy.sparse import csr_matrix, issparse
import matplotlib.pyplot as pl
import pandas as pd
import numpy as np
import warnings
warnings.simplefilter("ignore")
def round(k, dec=2, as_str=None):
if isinstance(k, (list, tuple, np.record, np.ndarray)):
return [round(ki, d... | [
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ktaned/bomb.py | MartinHarding/ktaned | 1 | 18282 | <reponame>MartinHarding/ktaned
import random
class Bomb(object):
"""Represents the Bomb context that modules should compute against"""
def __init__(self):
super(Bomb, self).__init__()
self.valid_battery_types = ['AA', 'D']
self.valid_ports = ['DVI-D', 'Parallel', 'PS/2',
... | [
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src/repnano/models/training_loop.py | organic-chemistry/RepNano | 5 | 78302 | <gh_stars>1-10
import subprocess
import argparse
import os
import json
import pandas as pd
import ast
parser = argparse.ArgumentParser()
parser.add_argument('--dataset', type=str)
parser.add_argument('--training_info', type=str)
parser.add_argument('--not_do', dest="do",action="store_false")
parser.add_argument('--no... | [
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flask_vises/__init__.py | rexzhang/flask-vises | 4 | 97641 | <reponame>rexzhang/flask-vises
#!/usr/bin/env python
# coding=utf-8
__version__ = "2.1.4"
| [
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LAMP4SSCtests/ssc_problem_test.py | osmanmusa/learned_iterative_algorithms | 2 | 147791 | <reponame>osmanmusa/learned_iterative_algorithms<filename>LAMP4SSCtests/ssc_problem_test.py<gh_stars>1-10
#!/usr/bin/python
from __future__ import division
from __future__ import print_function
"""
This file serves as an example of how to
a) select a problem to be solved
b) select a network type
c) train the network ... | [
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12... |
5-gui.py | theseana/pesteh | 1 | 44977 | <reponame>theseana/pesteh
from tkinter import *
root = Tk()
root.config(bg='yellow')
l1 = Label(root, text='Hello World!', bg='magenta')
l1.pack(side=LEFT)
b1 = Button(root, text='Click Me Please!', bg='cyan')
b1.pack(side=LEFT)
l2 = Label(root, text='Ta-Da!', bg='green')
l2.pack(side=LEFT)
root.main... | [
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13... |
unit_tests/test_actions_service.py | canonical/charm-ceph-osd | 17 | 94928 | # Copyright 2020 Canonical Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, s... | [
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svc_tools/decorators.py | tylerwince/svc-tools | 0 | 141978 | """Decorators that enable easy modifications to function behavior."""
import logging
import time
from functools import wraps
from typing import Callable
LOG = logging.getLogger("svc_tools")
def timer(log_level: Callable):
"""Time a function and log the time it took to execute.
If you want to know how long a... | [
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datalad/customremotes/tests/test_archives.py | yarikoptic/datalad | 0 | 1602593 | <gh_stars>0
# emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 noet:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the datalad package for the
# copyright and license terms.
#... | [
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house_prices_regression_model/predict.py | jmonsalverodilla/house_prices_regression_model | 0 | 48650 | import typing as t
import numpy as np
import pandas as pd
from house_prices_regression_model import __version__ as VERSION
from house_prices_regression_model.processing.data_manager import load_pipeline
from house_prices_regression_model.config.core import load_config_file, SETTINGS_PATH
from house_prices_regression_m... | [
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mmaction/models/tenons/backbones/__init__.py | arpanmangal/coinaction | 1 | 123738 | <reponame>arpanmangal/coinaction
from .bninception import BNInception
from .resnet import ResNet
from .inception_v1_i3d import InceptionV1_I3D
from .resnet_i3d import ResNet_I3D
from .resnet_s3d import ResNet_S3D
__all__ = [
'BNInception',
'ResNet',
'InceptionV1_I3D',
'ResNet_I3D',
'ResNet_S3D',
]... | [
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loss/sequence_elbo.py | Wu-Chenyang/SMC-POMDP | 0 | 65767 | <reponame>Wu-Chenyang/SMC-POMDP<filename>loss/sequence_elbo.py
import torch
import torch.nn as nn
import torch.nn.functional as F
import pyro.distributions as D
from pyro.distributions.kl import kl_divergence
from typing import NamedTuple
import math
def sequence_elbo(proposal: nn.Module, model: nn.Module, batched_da... | [
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tests/migrations/0014_auto_20200327_1152.py | intellineers/django-bridger | 2 | 53099 | <filename>tests/migrations/0014_auto_20200327_1152.py
# Generated by Django 2.2.11 on 2020-03-27 10:52
import django_fsm
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
("tests", "0013_auto_20200219_1324"),
]
operations = [
migrations.AlterField(
... | [
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29... |
multiprobe/data/language.py | h324yang/multiprobe | 0 | 199684 | from dataclasses import dataclass
from collections import defaultdict
from functools import lru_cache
from typing import Dict, List
import json
import warnings
from scipy.spatial import distance as spd
from torch.distributions.categorical import Categorical
from tqdm import tqdm
import joblib
import langdetect
import ... | [
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examples/custom_detection_video.py | vickyvava/ImageAI | 7,141 | 85187 | <filename>examples/custom_detection_video.py
from imageai.Detection.Custom import CustomVideoObjectDetection
import os
execution_path = os.getcwd()
video_detector = CustomVideoObjectDetection()
video_detector.setModelTypeAsYOLOv3()
video_detector.setModelPath("hololens-ex-60--loss-2.76.h5") # download via https://git... | [
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dsl/utils/filter_freq.py | juditacs/dsl | 2 | 145204 | <filename>dsl/utils/filter_freq.py
from os import listdir, path
from argparse import ArgumentParser
from collections import defaultdict
from dsl.features.featurize import Tokenizer, WordNgram
def parse_args():
p = ArgumentParser()
p.add_argument('--train', type=str)
p.add_argument('--train-out', type=str... | [
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23125,
11726,
13,
3166,
16250,
1053,
2322,
8977,
13,
13,
3166,
270,
... |
Taller Funciones/Untitled-2.py | SantiVillarreal/Taller_Estructuras | 0 | 78523 |
"""
Entradas:
lista-->list-->lista
elemento->str-->elemento
Salidas
lista-->lista
"""
frutas = open('frutas.txt', 'r')
lista_frutas = []
for i in frutas:
lista_frutas.append(i)
def eliminar_un_caracter(lista: list, elemento: str):
auxilar = []
for i in lista:
a = i.replace(elemento, "")
auxilar.append(a... | [
1,
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13,
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329,
294,
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877,... |
trac/trac/web/tests/wikisyntax.py | HelionDevPlatform/bloodhound | 84 | 103686 | <reponame>HelionDevPlatform/bloodhound
import unittest
from trac.wiki.tests import formatter
TEST_CASES = """
============================== htdocs: links resolver
htdocs:release-1.0.tar.gz
[htdocs:release-1.0.tar.gz Release 1.0]
------------------------------
<p>
<a href="/chrome/site/release-1.0.tar.gz">htdocs:rel... | [
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13,
9166,
4936,... |
src/main/python/fontspecs.py | sourcery-ai-bot/retcom | 10 | 1600553 | <filename>src/main/python/fontspecs.py
from fontTools.ttLib import TTFont
from fontTools.ttLib.tables._c_m_a_p import CmapSubtable
def fetchFontSpec(path):
font = TTFont(path)
cmap = font['cmap']
t = cmap.getcmap(3,1).cmap
s = font.getGlyphSet()
unitsPerEm = font['head'].unitsPerEm
return {
... | [
1,
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29883,
29918,
29885,
... |
exe 6.py | LucasGabrielTheodoro/Lista-de-python | 0 | 147658 | <gh_stars>0
n1 = int(input('Digite o preço do primeiro produto: '))
n2 = int(input('Digite o preço do segundo número: '))
desconto1= ((n1 * 8) / 100) - n1
desconto2= ((n2 * 11) / 100) - n2
total = (desconto1 + desconto2) *-1
print ('Com o desconto no primeiro produto de 8% e de 11% no segundo produt, o total v... | [
1,
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14991,
568,
288,
758... |
ecs/docstash/tests/urls.py | programmierfabrik/ecs | 9 | 1611155 | import json
from django.conf.urls import url
from django.http import HttpResponse
from ecs.docstash.decorators import with_docstash
@with_docstash()
def simple_post_view(request):
if request.method == 'POST':
request.docstash.value = request.POST.dict()
request.docstash.save()
return HttpResp... | [
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13,
13,
13,
2... |
src/SparseSC/cli/scgrad.py | wofein/SparseSC | 34 | 118344 | #!/usr/bin/env python
"""
A service like daemon for calculating components of the gradient
"""
# pylint: disable=invalid-name, unused-import, multiple-imports
import platform
import numpy as np
import uuid
import sys, time, os, atexit, json
from SparseSC.cli.daemon import Daemon
from yaml import load, dump
import tempf... | [
1,
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29892,
443,
3880,
... |
explainaboard/loaders/__init__.py | hwidjaja/ExplainaBoard | 0 | 137344 | <reponame>hwidjaja/ExplainaBoard
from explainaboard.loaders import (
aspect_based_sentiment_classification,
conditional_generation,
extractive_qa,
file_loader,
kg_link_tail_prediction,
language_modeling,
loader,
loader_registry,
named_entity_recognition,
qa_multiple_choice,
t... | [
1,
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18616,
2073,
29918,
1990,
2450,
29892,
13,
1678,
1... |
apps/contrib/api/responses.py | jimialex/django-wise-template-mysql | 2 | 126699 | <reponame>jimialex/django-wise-template-mysql
# -*- coding: utf-8 -*-
from rest_framework import status as status_code
from rest_framework.response import Response
from django.utils.translation import ugettext_lazy as _
class DoneResponse(Response): # noqa: D107
"""Base class for REST Exceptions based on CEH f... | [
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448,
29930,
29899,
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29901,
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29899,
29947,
448,
29930,
29899,
13,
13,
3166,
1791,
29918,
4468,
1053,
4660,
40... |
config.py | julienc91/slasher | 0 | 117510 | <filename>config.py
# -*- coding: utf-8 -*-
# --- Slack configuration ---
# get your own at https://api.slack.com/docs/oauth-test-tokens
SLACK_TOKEN = "<PASSWORD>"
# the channel Slasher will send its messages to
SLACK_CHANNEL = "#random"
# Slasher's username
SLACK_USERNAME = "Slasher"
# Slasher's icon
SLACK_USER_EMOJ... | [
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13,
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596,
1914,
472,
2045,
597,
2754,
29889,
29879,
... |
atlasclient/client.py | LALAYANG/atlasclient | 21 | 82743 | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# d... | [
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752,
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278,
19245,
29889,
887,
1... |
games/HangMan/hangman.py | sudhanvalalit/python | 0 | 1604145 | <reponame>sudhanvalalit/python
import random
from words import words
import string
from hangman_visual import lives_visual_dict
def get_valid_word(words):
word = random.choice(words)
while '-' in word or ' ' in word:
word = random.choice(words)
return word.upper()
def hangman():
word = get_v... | [
1,
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20119,
1053,
12080,
29918,
20119,
29918,
8977,
13,
13,
13,
1753,
67... |
cbcPaddingAttack.py | danielverd/crypto-projects | 0 | 42969 | from modesOfOperation import CBCCipher
import sys
BLOCK_SIZE = 16
def blocks(l, n):
for i in range(0, len(l), n):
yield l[i:i + n]
def attack(cbc,ciphertext):
message = bytearray(b'')
blockGen = blocks(ciphertext,BLOCK_SIZE)
ctextBlocks = []
for i in blockGen:
ctextBlocks.append(... | [
1,
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29880,
29892,
302,
1125,
13,
1678,
363,
474,
297,
3464,
29898,
2... |
topgun/__init__.py | muntumdwara/TopGun | 0 | 60258 | <reponame>muntumdwara/TopGun<gh_stars>0
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
TopGun
@author: Viper
"""
# Useful Medium post on Python importing within __init__.py
# https://towardsdatascience.com/whats-init-for-me-d70a312da583
### DON'T FORGET TO UPDATE SUB __INIT__.py files ###
# General
from .utilit... | [
1,
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3017,
29941,
13,
29937,
448,
29930,
29899,
14137,
29901,
... |
exercises/alphametics/alphametics.py | kishankj/python | 1,177 | 104772 | def solve(puzzle):
pass
| [
1,
822,
4505,
29898,
29886,
18813,
280,
1125,
13,
1678,
1209,
13,
2
] |
Ene-Jun-2019/Luis Ornelas/Segundo Parcial/Ejercicio 3/Ejercicio3-Parcial2-DB.py | Arbupa/DAS_Sistemas | 41 | 164623 | import sqlite3
conexion = sqlite3.connect('RandUser.db')
cursor = conexion.cursor()
cursor.execute('''
CREATE TABLE Users(
Gender TEXT NOT NULL,
First TEXT NOT NULL,
Last TEXT NOT NULL,
Location TEXT NOT NULL,
Email TEXT NOT NULL)
''')
conexion.close()
| [
1,
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13,
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13,
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7978,
877,
4907,
13,
1678,
14602,
10911,
2... |
authnz/tests.py | NERSC/newt-2.0 | 11 | 142683 | from django.test import TestCase
from django.conf import settings
import json
from newt.tests import MyTestClient, newt_base_url, login
class AuthTests(TestCase):
fixtures = ["test_fixture.json"]
def setUp(self):
self.client = MyTestClient()
def test_login(self):
# Should not be logged i... | [
1,
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6464,
13,
13,
13,
1990... |
data/vctk.py | Jackson-Kang/VQVC-Pytorch | 13 | 79939 | from utils.path import *
from utils.audio.tools import get_mel
from tqdm import tqdm
import numpy as np
import glob, os, sys
from multiprocessing import Pool
from scipy.io.wavfile import write
import librosa, ffmpeg
from sklearn.preprocessing import StandardScaler
def job(wav_filename):
original_wav_filename, prep... | [
1,
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13,
5215,
13149,
29892,
2897,
... |
yt_dlp/extractor/archiveorg.py | mrBliss/yt-dlp | 80 | 11346 | <filename>yt_dlp/extractor/archiveorg.py
# coding: utf-8
from __future__ import unicode_literals
import re
import json
from .common import InfoExtractor
from .youtube import YoutubeIE, YoutubeBaseInfoExtractor
from ..compat import (
compat_urllib_parse_unquote,
compat_urllib_parse_unquote_plus,
compat_HTTP... | [
1,
529,
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13,
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9130,
1649,
1053,
29104,
29918,
20889,
1338,
13,
13,
5215,
337,
13,
52... |
lib/crd.py | TierMobility/aws-auth-operator | 8 | 175919 | <filename>lib/crd.py
from typing import List, Dict
from lib.constants import CRD_GROUP, CRD_VERSION, CRD_KIND
def build_aws_auth_mapping(mappings: List, name: str) -> Dict:
return {
"apiVersion": CRD_GROUP + "/" + CRD_VERSION,
"kind": CRD_KIND,
"metadata": {"annotations": {}, "labels": {},... | [
1,
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26284,
29892,
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29928,
29918,
16358,
29892,
15600,
29928,
29918,
29... |
generate_images.py | gracecarrillo/github-readme-stats | 0 | 156922 | #!/usr/bin/python3
import asyncio
import os
import re
import aiohttp
from github_stats import Stats
################################################################################
# Helper Functions
################################################################################
def generate_outpu... | [
1,
18787,
4855,
29914,
2109,
29914,
4691,
29941,
30004,
13,
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13,
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408,
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30004,
13,
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2897,
30004,
13,
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337,
30004,
13,
30004,
13,
5215,
263,
601,
1124,
30004,
13,
30004,
13,
3166,
18546,
29918,
16202,
1053,... |
experiments/counters.py | PetrDlouhy/django-experiments | 237 | 76462 | from django.utils.functional import cached_property
from redis.exceptions import ConnectionError, ResponseError
from experiments.redis_client import get_redis_client
COUNTER_CACHE_KEY = 'experiments:participants:%s'
COUNTER_FREQ_CACHE_KEY = 'experiments:freq:%s'
class Counters(object):
@cached_property
d... | [
1,
515,
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29889,
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29889,
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284,
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22152,
29918,
6799,
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13,
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29889,
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29879,
1053,
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2392,
29892,
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2392,
13,
13,
3166,
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29889,
1127,
275,
29918,
4645,
1053,
679,
29918,
1127,
275,
2991... |
galaxy/main/migrations/0063_remove_deprecated_role_fields.py | tima/galaxy | 0 | 185327 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('main', '0062_move_repository_counters'),
]
operations = [
migrations.RemoveField(model_name='role', name='average_score'),
m... | [
1,
396,
448,
29930,
29899,
14137,
29901,
23616,
29899,
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13,
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1053,
9725,
800,
13,
13,
13,
1990,
341,
16783,
29898,
... |
tests/observers/k8s_api_test.py | superhsuSFX/signalfx-agent | 1 | 199511 | from functools import partial as p
import pytest
import yaml
from tests.helpers.assertions import has_all_dims, has_datapoint, has_dim_key
from tests.helpers.kubernetes.utils import add_pod_spec_annotations
from tests.helpers.util import wait_for
from tests.paths import TEST_SERVICES_DIR
@pytest.mark.kubernetes
def ... | [
1,
515,
2090,
312,
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7687,
408,
282,
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29889,
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497,
29918,
6229,
29879,
29892,
756,
29918,
4130,
481,
2461,
29892,
... |
lib/segmentation/algorithm.py | rusty1s/embedded_gcnn | 74 | 50455 | <reponame>rusty1s/embedded_gcnn<gh_stars>10-100
import numpy as np
from skimage import color, segmentation
def slic(image, num_segments, compactness=10, max_iterations=10, sigma=0):
image = _preprocess(image)
return segmentation.slic(image, num_segments, compactness, max_iterations,
... | [
1,
529,
276,
1112,
420,
29958,
23575,
29891,
29896,
29879,
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29966,
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29918,
303,
1503,
29958,
29896,
29900,
29899,
29896,
29900,
29900,
13,
5215,
12655,
408,
7442,
13,
3166,
2071,
3027,
1053,
292... |
allocate/__init__.py | BraeWebb/allocate | 0 | 75297 | <filename>allocate/__init__.py
"""
Tutor allocation algorithm for allocating tutors to the optimal sessions.
"""
__author__ = "<NAME>, <NAME>"
__all__ = ['allocation', 'doodle', 'model', 'solver', 'csvalidator']
| [
1,
529,
9507,
29958,
15956,
403,
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2272,
13,
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13,
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363,
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21396,
29889,
13,
15945,
29908,
13,
13,
1649,
8921,
1649,
353,
9872,
5813,
102... |
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