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from utils.models import LinkedListNode def merge_two_sorted_lists(l1: LinkedListNode, l2: LinkedListNode) -> LinkedListNode: temp_head = tail = LinkedListNode(data=0) while l1 and l2: if l1.data < l2.data: tail.next = l1 l1 = l1.next else: tail.next = l2 ...
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<filename>scrapers/scraper_primorske.py import requests from bs4 import BeautifulSoup as bs import hashlib from database.dbExecutor import dbExecutor import datetime import sys from tqdm import tqdm import re """ formatDate ni uporaben, datum je na strani ze v pravi obliki napake, so verjetno zaradi praznih...
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<reponame>bcgov/CIT<gh_stars>1-10 from django.contrib.gis.db import models from django.contrib.gis.db.models import MultiPolygonField from django.contrib.gis.geos import Point from pipeline.constants import WGS84_SRID class HealthAuthorityBoundary(models.Model): NAME_FIELD = "HLTH_AUTHORITY_NAME" hlth_autho...
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<reponame>kponder/astrorapid import numpy as np def find_nearest(array, value): """ Find the index nearest to a given value. Adapted from: https://stackoverflow.com/questions/2566412/find-nearest-value-in-numpy-array """ array = np.asarray(array) idx = (np.abs(array - value)).argmin() re...
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<filename>src/help_command.py """help command functionality""" import os import discord from discord import Embed Test_bot_application_ID = int(os.getenv('TEST_BOT_APP_ID')) ########################### # Function: helper # Description: Directs the help functions when called # and is executes !help command # Inputs: ...
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<gh_stars>10-100 import numpy as np import itertools import os A_DIM = 6 BITRATE_LEVELS = 6 class VideoLoader: def __init__(self, filename): self.filename = filename self.video_size = {} # in bytes self.vmaf_size = {} self.VIDEO_BIT_RATE = [375, 750, 1050, 1750, 3000...
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# import the pandas, os, and sys libraries and load the nls and covid data import pandas as pd import os import sys import pprint nls97 = pd.read_pickle("data/nls97f.pkl") covidtotals = pd.read_pickle("data/covidtotals720.pkl") # import the outliers module sys.path.append(os.getcwd() + "/helperfunctions") import outli...
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<reponame>36000/cnn_colorflow<gh_stars>0 import numpy as np import sys import os from keras.models import load_model sys.path.append("../utilities") import constants from data import get_train_test from metrics import plot_n_roc_sic datasets_c = ['h_qq_rot_charged', 'h_gg_rot_charged', 'cp_qq_rot_charged', 'qx_qg_rot...
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# source:https://github.com/zhuogege1943/dgc/blob/439fde259c/layers.py # arxiv:https://arxiv.org/abs/2007.04242 import torch import torch.nn as nn import torch.nn.functional as F class DynamicMultiHeadConv(nn.Module): global_progress = 0.0 def __init__(self, in_channels, out_channels, kernel_size, stride=1, ...
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<filename>u8timeseries/tests/test_timeseries.py<gh_stars>1-10 import unittest import pandas as pd from timeseries import TimeSeries class TimeSeriesTestCase(unittest.TestCase): __test__ = True pd_series1 = pd.Series(range(10), index=pd.date_range('20130101', '20130110')) series1: TimeSeries = TimeSeries...
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<filename>tests/test_handshake.py<gh_stars>10-100 import unittest import sys import os proj_folder = os.path.abspath(os.path.join(os.path.dirname(__file__), '..')) socket_folder = os.path.join(proj_folder, 'websocket') sys.path.insert(0, socket_folder) import websock as WS class TestHandShake(unittest.TestCase): ...
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<reponame>JuliaHuck/nighres from nighres.microscopy.mgdm_cells import mgdm_cells from nighres.microscopy.stack_intensity_regularisation import stack_intensity_regularisation
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<reponame>quick-sort/scrapy-spiders # -*- coding: utf-8 -*- from scrapy import Spider from scrapy.utils.spider import iterate_spider_output from scrapy.exceptions import NotConfigured, NotSupported import xlrd import logging logger = logging.getLogger(__name__) def xlsiter(response, headers = None, sheet_index = 0): ...
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<filename>django/tango_with_django_project/__init__.py __author__ = 'matheuskonzeniser'
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# coding=utf-8 # pynput # Copyright (C) 2015-2017 <NAME> # # This program is free software: you can redistribute it and/or modify it under # the terms of the GNU Lesser General Public License as published by the Free # Software Foundation, either version 3 of the License, or (at your option) any # later version. # # Th...
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<reponame>gollum18/enterprise-db-systems-labs from . import app import os def main(): # setup the flask environment variables os.putenv("FLASK_APP", "company-app") os.putenv("FLASK_ENV", "development") # start the flask app app.create_app().run() if __name__ == '__main__': main()
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from typing import Dict import math import numpy as np import os import json import time # ROS import rclpy from rclpy.node import Node from sensor_msgs.msg import JointState, LaserScan, Imu from geometry_msgs.msg import Pose, Twist, Quaternion, Transform, Point, Vector3 from nav_msgs.msg import Odometry import tf2_ro...
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<filename>lib/surface/logging/cmek_settings/describe.py # -*- coding: utf-8 -*- # # Copyright 2019 Google LLC. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http...
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<reponame>fossabot/hotpot import config import fasttext import numpy as np import pandas as pd from annoy import AnnoyIndex from gensim.models import KeyedVectors from scipy.spatial import cKDTree from tqdm import tqdm # ============================================================ # Script purpose: # Use nearest-neigh...
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# -*-coding:utf-8-*- import cv2 import numpy as np import os """ 이 스크립트는 기본적으로 수집한 원본 데이터를 기반으로 데이터 증가 작업을 수행하여 딥러닝 모델이 학습 할 수 있는 데이터셋을 늘리기 위한 스크립트이다. openCV 라이브러리를 직접 사용하여 이미지 수정 및 저장을 하였으나, 나중에 찾아보니 Keras 에서는 ImageGenerator를 사용해서 유사한 작업을 할 수 있다고 한다... ㅎ """ TS_PATH = "C:\\Users\\dry8r3ad\\PycharmProjects\\catBreedC...
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<gh_stars>0 # ------------------------------------------------------------------------- # # THIS CODE AND INFORMATION ARE PROVIDED "AS IS" WITHOUT WARRANTY OF ANY KIND, # EITHER EXPRESSED OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE IMPLIED WARRANTIES # OF MERCHANTABILITY AND/OR FITNESS FOR A PARTICULAR PURPOSE. # ----...
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''' * publisher * * Copyright (c) 2020-2021, Magik-Eye Inc. * author: <NAME>, <EMAIL> ''' import rclpy from rclpy.node import Node from sensor_msgs.msg import PointCloud2, PointField from std_msgs.msg import String import threading import time import pymkeapi import numpy as np from pymkeros2.device_info import Device...
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import sys import time from neopixel import * # Read percentage value passed to script when called. input = sys.stdin.readline().rstrip('\n') percents = input.split(',') dlPercent = float(percents[0])+0.5 ulPercent = float(percents[1])+0.5 dlMax = int(dlPercent * 0.55) ulMax = 120 - int(ulPercent * 0.55) print dlMax,...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- # @Author: kingofwolf # @Date: 2018-11-20 18:34:53 # @Last Modified by: kingofwolf # @Last Modified time: 2019-03-21 10:45:17 # @Email: <EMAIL> 'Info: a Python file ' __author__ = 'Wang' TASK_FILE_MODE=1 # when this equals 0: #task file like: # # 0 # 1 1774760 # 8 341...
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<filename>bsbolt/Utils/ParserHelpMessages.py<gh_stars>1-10 alignment_help = ''' bsbolt Align -F1 {fastq1} -DB {bsbolt db} -O {output} -h, --help show this help message and exit Input / Output Options: -F1 File path to fastq 1 -F2 File path to fastq 2 [null] -O File output Prefix -OT Int n...
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# -*- coding: utf-8 -*- # Generated by Django 1.9.6 on 2016-07-07 10:07 from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('api', '0004_message_last_reply_date'), ] operations = [ migrations.AlterUniqueTogeth...
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""" Flask-MAB ------------- An implementation of the multi-armed bandit optimization pattern as a Flask extension If you can pass it, we can test it """ from setuptools import setup setup( name='Flask-MAB', version='2.0.1', url='http://github.com/deacondesperado/flask_mab', license='BSD', author='...
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# Copyright (c) 2012, <NAME> [see LICENSE.txt] # Python 2 to 3 workarounds import sys if sys.version_info[0] == 2: _strobj = str _xrange = xrange elif sys.version_info[0] == 3: _strobj = str _xrange = range import os import pylab import numpy as np from collections import Counter from pyvttbl....
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<reponame>trucktar/inquisitive from datetime import datetime, timedelta import jwt from django.conf import settings from django.contrib.auth.models import AbstractBaseUser, BaseUserManager from django.db import models class UserManager(BaseUserManager): def create_user(self, username, email, password, **extra_fi...
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from django.conf.urls import url urlpatterns = [ url(r'^list/$', 'screenshots_listing', prefix='crits.screenshots.views'), url(r'^list/(?P<option>\S+)/$', 'screenshots_listing', prefix='crits.screenshots.views'), url(r'^add/$', 'add_new_screenshot', prefix='crits.screenshots.views'), url(r'^find/$', 'f...
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import os import sys BASE_DIR = os.path.dirname( os.path.dirname(os.path.dirname(os.path.dirname( os.path.abspath(__file__))))) sys.path.append(BASE_DIR) from tools.path import ILSVRC2012_path from simpleAICV.classification import backbones from simpleAICV.classification import losses import torchvision...
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<reponame>andrewnc/geometric-neural-processes from skimage.transform import resize import matplotlib.pyplot as plt import numpy as np import os from tqdm import tqdm #for f in tqdm(os.listdir("./train2014")): # image = plt.imread("./train2014/{}".format(f)) # resized = resize(image, (32,32), anti_aliasing=True) ...
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<reponame>GravYong/scalarized_ns<gh_stars>0 """ A quadratic scalar-tensor theory """ __author__ = "<NAME>" __email__ = "<EMAIL>" __license__ = "GPL" import numpy as np class STG_quadratic(object): """ The quadratic scalar-tensor theory defined in Damour & Esposito-Farese 1996 """ def __init__(s...
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import proverb def main(): print(proverb.saying())
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from pyfirmata import Arduino, util import time import argparse import yaml import logging.config config = None with open('config.yml') as f: config = yaml.load(f) config['logging'].setdefault('version', 1) logging.config.dictConfig(config['logging']) logger = logging.getLogger(__name__) logger.debug('Using con...
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import numpy as np import pandas as pd import matplotlib.pylab as plt import matplotlib.cm as mplcm import matplotlib.colors as colors from utils.embedding import * from utils.geometry import * from utils.constants import * from shapely.geometry import Point, LineString, Polygon, LinearRing chip_1, chip_2, connections...
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# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import migrations, models import mptt.fields import django.db.models.deletion import yepes.fields class Migration(migrations.Migration): dependencies = [ ('posts', '0001_initial_schema'), ] initial = True operat...
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import numpy as np from nose.plugins.attrib import attr from cStringIO import StringIO from nose.tools import raises from microscopes.lda import utils def test_docs_from_document_term_matrix(): dtm = [[2, 1], [3, 2]] docs = [[0, 0, 1], [0, 0, 0, 1, 1]] assert utils.docs_from_document_term_matrix(dtm) == ...
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import redis from board import Board class RedisBoard(Board): """This will create a message board that is backed by Redis.""" def __init__(self, *args, **kwargs): """Creates the Redis connection.""" self.redis = redis.Redis(*args, **kwargs) def set_owner(self, owner): self.owner ...
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u = 0.5*sin(2*pi*x)+1
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<filename>libraries/stats/widgets/RedRvar_test.py<gh_stars>1-10 """F Test widget .. helpdoc:: Performs the F-test on connected data. """ """<widgetXML> <name>F Test</name> <icon>default.png</icon> <summary>Performs an F test.</summary> <tags> <tag priority="10"> Stats...
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<filename>core/emri/data_proc.py import SimpleITK as sitk # For loading the dataset import numpy as np # For data manipulation import glob # For populating the list of files from scipy.ndimage import zoom # For resizing import re # For parsing the filenames (to know their modality) import cv2 # For processing imag...
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<filename>src/pyglue/DocStrings/ExceptionMissingFile.py class ExceptionMissingFile: """ An exception class for errors detected at runtime, thrown when OCIO cannot find a file that is expected to exist. This is provided as a custom type to distinguish cases where one wants to continue looking for missin...
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import copy import os import torch import torchvision import warnings import math import utils.misc import numpy as np import os.path as osp import torch.nn as nn import torch.nn.functional as F import torch.optim as optim import models.modified_resnet_cifar as modified_resnet_cifar import models.modified_resnetmtl_cif...
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#!python3 #encoding:utf-8 import dataset import time import random class Language: def __init__(self, db_path_repo): self.db_repo = dataset.connect('sqlite:///' + db_path_repo) """ Insert programming language information for each GitHub repository into the database. @params [dict] langs is [Lis...
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<reponame>WiitterSimithYU/-scollview-imissMusic import uuid import os # 管理平台上传图片 def user_directory_path(instance, filename): ext = filename.split('.')[-1] filename = '{}.{}'.format(uuid.uuid4().hex[:10], ext) str = os.path.join("music", filename) return str # 保存APP上传的图片 def upload_image(f, song): ...
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<reponame>stefan-feltmann/lands """ This file contains all possible Biome as separate classes. """ import re def _un_camelize(name): s1 = re.sub('(.)([A-Z][a-z]+)', r'\1 \2', name) return re.sub('([a-z0-9])([A-Z])', r'\1 \2', s1).lower() class _BiomeMetaclass(type): def __new__(mcs, name, parents, dct...
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#Type of sequence multiplier must be constant from polyphony import testbench def list_multiplier(x): l = [1, 2, 3] * x return l[0] @testbench def test(): list_multiplier(5) test()
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<reponame>osaaso3/brainiak # The following code is designed to perform a searchlight at every voxel in the brain looking at the difference in pattern similarity between musical genres (i.e. classical and jazz). In the study where the data was obtained, subjects were required to listen to a set of 16 songs twice (two ru...
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<gh_stars>1000+ #!/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. """Tests for the cmd_helper module.""" import unittest import subprocess import sys import time from devil import dev...
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<filename>c7n/resources/dynamodb.py # Copyright 2016-2019 Capital One Services, LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless r...
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<filename>justvpn/util.py import re import os from urllib.parse import urlparse
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<reponame>ckamtsikis/cmssw import FWCore.ParameterSet.Config as cms def customise(process): # process.dtDataIntegrityUnpacker.inputLabel = cms.untracked.InputTag('rawDataCollector') # process.DQMOfflineCosmics.remove(process.hcalOfflineDQMSource) # process.load("FWCore.Modules.printContent_cfi") # proc...
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__author__ = "<NAME>" __version__ = '0.3.0' from log_calls import log_calls import doctest ############################################################################## # doctests ############################################################################## #=======================================================...
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<filename>examples/eager_examples/scripts/example_switch_engine.py #!/usr/bin/env python3 # ROS packages required import rospy from eager_core.eager_env import BaseEagerEnv from eager_core.objects import Object from eager_core.wrappers.flatten import Flatten from eager_bridge_webots.webots_engine import WebotsEngine ...
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#------------------------------------------------------------------------------- # Name: Pet_Game.py # Purpose: To create a class to play with a virtual pet! # # Author: odanielb, <NAME> # # Acknowledgements: # The following images were borrowed and then edited: # Shop: https://cdn2.iconfinder.com/data/i...
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<reponame>rgerkin/pyrfume # --- # jupyter: # jupytext: # formats: ipynb,py # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.10.3 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # %l...
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from pyinaturalist.constants import PROJECT_ORDER_BY_PROPERTIES, JsonResponse, MultiInt from pyinaturalist.converters import convert_all_coordinates, convert_all_timestamps from pyinaturalist.docs import document_request_params from pyinaturalist.docs import templates as docs from pyinaturalist.pagination import add_pa...
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# import argparse import boto3 import ffmpeg import json import logging import os import posixpath import sys import tarfile import tempfile from concurrent.futures import ThreadPoolExecutor def extract_frames(in_filename, out_directory, fps=1, height=720): print("\n\n\n{}\n\n\n".format(os.listdir("./"))) ( ...
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<gh_stars>0 import os import matplotlib.image as mpimg import matplotlib.pyplot as plt import config def view_data(): nrows, ncols = 3, 3 pic_index = 0 fig = plt.gcf() fig.set_size_inches(nrows * 4, ncols * 4) pic_index = 2 next_rock = [os.path.join(config.TRAIN_DIR, 'rock', fname) for fname...
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<filename>src/find_shortest_path.py ''' Separating code for SRP ''' import sys import os sys.path.append(os.path.dirname(__file__)+"/../") from src import constants from src.get_vehicles import getvehicles from src.find_orbit_time import Orbit class Shortest: ''' This class finds the shortest path for the ride...
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<filename>platform/hwconf_data/efr32fg14v/modules/PIN/PIN_Snippets.py """ Generated from a template """ import efr32fg14v.PythonSnippet.RuntimeModel as RuntimeModel from efr32fg14v.modules.PIN.PIN_Defs import PORT_PINS def activate_runtime(): pass
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from request_log import RequestLogMiddleware
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<reponame>edrossy/tableau_tools from tableau_connection import TableauConnection from tableau_datasource import TableauDatasource from tableau_parameters import TableauParameters, TableauParameter from tableau_document import TableauColumns, TableauDocument from tableau_file import TableauFile from tableau_workbook imp...
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"""adapterpattern Example to show a Pythonic way of implementing an adapter pattern. The example shows how to use Python's language feature, first-class functions, to implement adapter pattern. This example is created to illustrate a design pattern discussed in the book Learning Python Application Development (Packt...
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<filename>misc/datatools.py #!/usr/bin/env python3 import json from typing import Callable, List import pandas as pd from loguru import logger from .taxonomy import process_keywords_str, process_single_kws def parse_kws(kw_str, level=2): res = kw_str.split(",") res = map(lambda kw: [_.strip().lower() for _...
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<filename>CompareTheTriplets.py """ https://www.hackerrank.com/challenges/compare-the-triplets """ #!/bin/python3 import sys a0,a1,a2 = input().strip().split(' ') a0,a1,a2 = [int(a0),int(a1),int(a2)] b0,b1,b2 = input().strip().split(' ') b0,b1,b2 = [int(b0),int(b1),int(b2)] # Write Your Code Here """ alice = 0 bob ...
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<filename>tests/test_git.py try: from unittest.mock import patch, MagicMock as Mock except ImportError: from mock import patch, MagicMock as Mock from dulwich.repo import MemoryRepo from dulwich.objects import Tree, Blob from gitdb.repo import Data from gitdb.git import GitRepo def test_current_commit_is_non...
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<reponame>vadi2/codeql<gh_stars>1000+ # -*- coding: utf-8 -*- # Autogenerated by Sphinx on Mon May 16 13:41:38 2016 topics = {'assert': '\n' }
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import pandas as pd import numpy as np import matplotlib.pyplot as plt import scipy.stats as stats import windtools.util as util class Weibull(object): def __init__(self, data, ws_field='ws', wd_field='wd', wd_bin_size=30, ws_bin_size=1, prepare_data=True): self.data = pd.DataFrame(data) self.dat...
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<reponame>pkestene/COSMA #!/usr/bin/env python3 import argparse import os import sys import tempfile import subprocess parser = argparse.ArgumentParser() parser.add_argument( 'prefix', type=str, help='Installation prefix for dependencies' ) args = parser.parse_args() if not os.path.is...
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# Databricks notebook source # MAGIC %md # MAGIC #Import Libraries # COMMAND ---------- # 0) Import Libraries from pyspark.sql.types import * from pyspark.sql.functions import * from pyspark import SparkContext from pyspark.sql import SparkSession from pyspark.streaming import StreamingContext # COMMAND ---------- ...
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from unittest.mock import patch, MagicMock, call import json from datetime import datetime from copy import deepcopy import pytest from PIL import Image from sm.engine import DB, ESExporter, QueuePublisher from sm.engine.dataset_manager import SMapiDatasetManager, SMDaemonDatasetManager from sm.engine.dataset_manager ...
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<reponame>clauddio-silva/ope-1<filename>ope-backend/src/infra/repository/product_order_repository.py from sqlalchemy.exc import IntegrityError, NoResultFound, MultipleResultsFound from src.infra.config import DBConnectionHandler from src.infra.db_entities import Products_Orders as Product_Order class Product_OrderRep...
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<filename>rbacProject/apps/system/models.py from django.db import models from db.baseModel import * # Create your models here. class SystemSetup(models.Model): loginTitle = models.CharField(max_length=20, null=True, blank=True, verbose_name='登录标题') mainTitle = models.CharField(max_length=20, null=True, blank=...
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<reponame>gcollard/lightbus<filename>lightbus/client/commands.py import logging from typing import NamedTuple, Optional, List, Tuple from lightbus.api import Api from lightbus.message import EventMessage, RpcMessage, ResultMessage from lightbus.utilities.internal_queue import InternalQueue logger = logging.getLogger...
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from FichaDB import FichaDB class Ficha(object): def __init__(self, lista=None): if lista is None: self.lista = [] * 129 self.info = {} def insertFicha(self): banco = FichaDB() try: c = banco.conexao.cursor() c.execute(" insert into fich...
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<reponame>samkennerly/suneku<gh_stars>1-10 from setuptools import setup setup( author='<NAME>', author_email='<EMAIL>', description='Python package which builds its own Docker images.', name='suneku', packages=['suneku'], url='https://github.com/samkennerly/suneku', version='1.0.0')
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<filename>setup.py import os from pathlib import Path from setuptools import setup, find_packages # The directory containing this file here = Path(__file__).parent # The text of the README file README = (Path(__file__).parent / "README.md").read_text() data_files = [] for pipeline in ['fastapi', 'flux_pack', 'libra...
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<reponame>aMurryFly/Old_Courses<filename>OOP_Python/4_Jueves/calculos/__init__.py #Son directorios donde se almacenan módulos ''' 1) Crear una carpeta con un archivo __init__.py <- constructor '''
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class Config(object): # Config.ini 文件目录 INI_PATH = "/etc/radiaTest/messenger.ini" # 模式 DEBUG = False TESTING = False # 日志 LOG_LEVEL = "INFO" # PXE服务器 # PXE地址(必须配置免密登录,如果和server为同一台机器,则不需要) # dhcp配置文件 DHCP_CONF = "/etc/dhcp/dhcpd.conf" # tftp-server 文件存储路径 # TFTP_P...
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# toda variavel pode ser alterada, sempre deve criada em minuscula # por convensao, variaveis em maiusculas sao como se fosse constantes, nao devem ser alteradas PI = 3.14 GRAVITY = 9.8 def get_extension(file): return file[file.index(".") +1:] # pega o nome do arquivo, dentro qual o indice do ponto, e pega do ind...
StarcoderdataPython
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import cv2 cap = cv2.VideoCapture('image_rec/test_video.mp4') if (cap.isOpened()== False): print("Error opening video stream or file") while cap.isOpened(): ret, image = cap.read() cv2.imshow('video', image) # Press Q on keyboard to exit if cv2.waitKey(25) & 0xFF == ord('q'): break cv2...
StarcoderdataPython
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_base_ = [ # 'configs/_base_/models/upernet_swin.py', 'configs/_base_/datasets/cityscapes.py', 'configs/_base_/default_runtime.py', 'configs/_base_/schedules/schedule_160k.py' ] # By default, models are trained on 8 GPUs with 2 images per GPU data = dict(samples_per_gpu=4) # model settings norm_cfg = di...
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from . import input_output from . import network from . import plotting from . import model from . import simulation from . import dhn_from_osm from . import optimization
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<gh_stars>0 import copy import datetime import threading import time import uuid from dateutil.relativedelta import relativedelta class Scheduler: thread_dict = dict() def set_cron(self, timelist, func, *args, **kwargs): cron_id = uuid.uuid4() next_dt = datetime.datetime.now() + relativedel...
StarcoderdataPython
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<reponame>sthagen/pconf import os import re from ast import literal_eval from warnings import warn class Env(object): def __init__( self, separator=None, match=None, whitelist=None, parse_values=False, to_lower=False, convert_underscores=False, docke...
StarcoderdataPython
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<reponame>Milstein/sorted_containers # -*- coding: utf-8 -*- from __future__ import print_function from sys import hexversion import random from .context import sortedcontainers from sortedcontainers import SortedSet from nose.tools import raises from functools import wraps import operator if hexversion < 0x03000000...
StarcoderdataPython
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def hamming_weight(n: int) -> int: """Calculate the number of '1' bit in the given it. :param int n: :return: number of '1' bit in the int """ weight = 0 while n != 0: weight += 1 n &= n - 1 return weight
StarcoderdataPython
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from sklearn.externals import joblib import csv cls = joblib.load('model.h5') fo = open("userAgents5.csv", "r") lines=fo.readlines() vec = joblib.load('vec_count.joblib') with open('results_logRegfinal.csv', mode='w') as results_file: results_writer = csv.writer(results_file, delimiter=',', quotechar='"', quoting=c...
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__author__ = 'chris' """ Package for holding all of our protobuf classes """
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<reponame>danheath/pykol-lib from typing import Optional from dataclasses import dataclass import libkol @dataclass class ItemQuantity: item: "libkol.Item" quantity: int @dataclass class Listing: item: Optional["libkol.Item"] = None price: int = 0 stock: int = 0 limit: int = 0 limit_rea...
StarcoderdataPython
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from pkg_resources import iter_entry_points from typeguard import check_argument_types from typing import Sequence nodefault = object() def traverse(obj, target:str, default=nodefault, executable:bool=False, separator:str='.', protect:bool=True): """Traverse down an object, using getattr or getitem. If ``executa...
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<gh_stars>10-100 #!/usr/bin/env python import rospy from std_msgs.msg import Int32 from geometry_msgs.msg import PoseStamped, Pose from styx_msgs.msg import TrafficLightArray, TrafficLight from styx_msgs.msg import Lane from sensor_msgs.msg import Image from cv_bridge import CvBridge from light_classification.tl_class...
StarcoderdataPython
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<gh_stars>10-100 from data_pipeline.pipeline import Pipeline, run_pipeline from data_pipeline.datasets.gnomad_sv_v2 import prepare_gnomad_structural_variants pipeline = Pipeline() ############################################### # Variants ############################################### pipeline.add_task( "prep...
StarcoderdataPython
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# -*- coding: utf-8 -*- ################################################################################# # Author : Webkul Software Pvt. Ltd. (<https://webkul.com/>) # Copyright(c): 2015-Present Webkul Software Pvt. Ltd. # License URL : https://store.webkul.com/license.html/ # All Rights Reserved. # # # # This pr...
StarcoderdataPython
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<gh_stars>0 import json import os import requests from quart import abort from src.utils.array_utils import get_nested_value from time import sleep headers = { 'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_1) ' 'AppleWebKit/537.36 (KHTML, like Gecko) ' 'Chrome/54.0...
StarcoderdataPython
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<filename>dcompy/waitlist.py """ Copyright 2021-2021 The jdh99 Authors. All rights reserved. 等待队列 Authors: jdh99 <<EMAIL>> """ import dcompy.log as log from dcompy.block_tx import * from dcompy.system_error import * from typing import Callable import threading class _Item: def __init__(self): self.prot...
StarcoderdataPython
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from mathematics import PBox import numpy as np class PermutationCipher: def __init__(self, key: list): self.pbox = PBox.from_list(key) self.inverse = self.pbox.invert() self.columns = len(key) self.key = np.array(key) def encrypt(self, plaintext: str) -> str: P = self...
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<gh_stars>0 # -*- coding: utf-8 -*- # # Copyright 2019-2020 Mastercard # All rights reserved. # # Redistribution and use in source and binary forms, with or without modification, are # permitted provided that the following conditions are met: # # Redistributions of source code must retain the above copyright notice, th...
StarcoderdataPython