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4825969
# -*- coding:utf-8 -*- # author:Anson from __future__ import unicode_literals import sqlalchemy from sqlalchemy import Table, Column, Integer, String from sqlalchemy.sql import text import settings class Db(object): def __init__(self, connection='default'): conn = settings.MYSQL_DATABASES...
StarcoderdataPython
4839177
<filename>pandapipes/plotting/geo.py # Copyright (c) 2020 by Fraunhofer Institute for Energy Economics # and Energy System Technology (IEE), Kassel. All rights reserved. # Use of this source code is governed by a BSD-style license that can be found in the LICENSE file. from pandapower.plotting.geo import _node_geometr...
StarcoderdataPython
1729578
<reponame>n5iln/railmops ''' Help: provides some basic help facilities Model Operations Processing System. Copyright <NAME> 2009-2010. Licenced under the EUPL. You may not use this work except in compliance with the Licence. You may obtain a copy of the Licence at http://ec.europa.eu/idabc/eupl or as attached...
StarcoderdataPython
195061
#! /usr/bin/env python3 ## import modules from Bio import SeqIO from tqdm import tqdm import collections import subprocess as sp import os ## functions: taxonomy assignment def tax2dict(acc2tax, taxid, name, accession_dict): acc_taxid_info = {} print(f'reading {acc2tax} into memory') with tqdm(total = os....
StarcoderdataPython
162251
<gh_stars>0 #%% ''' https://stackoverflow.com/questions/11443302/compiling-numpy-with-openblas-integration ''' import numpy as np from time import time #%% Let's take the randomness out of random numbers (for reproducibility) np.random.seed(0) size = 8192 A, B = np.random.random((size, size)), np.random.random((size,...
StarcoderdataPython
140521
from django.db import models from django.utils import timezone class Books(models.Model): Name = models.CharField(max_length=100) Page_Number = models.CharField(max_length=200) Genre = models.CharField(max_length=50) pub_date = models.Field(default=timezone.now)
StarcoderdataPython
154846
import os import copy import logging import time import numpy as np np.seterr(divide='ignore', invalid='ignore') from prune import prune logging_path = os.path.join(os.getcwd(), "text_log.log") logging.basicConfig(level=logging.INFO, format="%(levelname)s - %(asctime)s - %(msg)s", datefmt="%Y-%m-%d %H:%M:%S...
StarcoderdataPython
3291145
<reponame>bethunebtj/BigDL<gh_stars>1-10 from bigdl.nn.layer import * from optparse import OptionParser from bigdl.nn.criterion import * from bigdl.nn.initialization_method import * from bigdl.optim.optimizer import * from bigdl.transform.vision.image import * from math import ceil def t(input_t): if type(input_t...
StarcoderdataPython
1720809
import asyncio async def hello(): print('Hello Task!') coroutine = hello() asyncio.get_event_loop().run_until_complete(coroutine)
StarcoderdataPython
29893
from mixcoatl.admin.billing_code import BillingCode from mixcoatl.geography.region import Region from mixcoatl.admin.group import Group from mixcoatl.admin.user import User def get_servers(servers, **kwargs): """ Returns a list of servers Arguments: :param servers: a list of servers that needs to be filt...
StarcoderdataPython
4843012
# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations from django.conf import settings import cloudinary.models class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] operations = [ ...
StarcoderdataPython
1663192
""" CostCenters v3 """ from typing import List, Dict from ..api_base import ApiBase class CostCenters(ApiBase): """Class for CostCenters APIs.""" POST_COST_CENTERS = '/v3/cost_centers' GET_COST_CENTERS = '/v3/cost_centers' def get(self, limit: int = None, offset: int = None, **kwargs) -> Dict: ...
StarcoderdataPython
1672619
import os import datetime import yaml from api.util.dbconnect import db_instance from api.providers.configuration import ConfigurationProviderInterfaceV0 from api.util import api_cfg class ConfigurationProviderException(Exception): pass class ConfigurationProvider(ConfigurationProviderInterfaceV0): def __...
StarcoderdataPython
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# Copyright 2017 Catalyst IT Limited # # 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...
StarcoderdataPython
1671063
<reponame>zealoussnow/chromium # Copyright 2021 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. """ Validates the media_metric. """ from cli_tools.tbmv3.validators import simple_validator def CompareHistograms(test_ctx):...
StarcoderdataPython
3226930
<gh_stars>0 import datetime as dt from ravenpy.models import GR4JCN from ravenpy.utilities.testdata import get_local_testdata """ Test to perform a hindcast using Caspar data on THREDDS. Currently only runs GEPS, eventually will run GEPS, GDPS, REPS and RDPS. To do so will need to add the actual data from Caspar, cur...
StarcoderdataPython
4839313
import difflib import re from typing import Optional, Union from discord.utils import escape_markdown def wrap_in_code(value: str, *, block: Optional[Union[bool, str]] = None): value = value.replace("`", "\u200b`\u200b") value = value.replace("\u200b\u200b", "\u200b") if block is None: return "`...
StarcoderdataPython
140807
import logging import ray from ray.rllib.optimizers.policy_optimizer import PolicyOptimizer from ray.rllib.utils.annotations import override from ray.rllib.utils.timer import TimerStat logger = logging.getLogger(__name__) class TorchDistributedDataParallelOptimizer(PolicyOptimizer): """EXPERIMENTAL: torch distr...
StarcoderdataPython
4809185
<filename>test/testp4svn_actions.py #!/usr/bin/env python # -*- coding: utf-8 -*- '''Test cases of perforce to svn replication ''' import os import unittest import tempfile from testcommon import get_p4d_from_docker from testcommon_p4svn import replicate_P4SvnReplicate, verify_replication from lib.buildlogger impor...
StarcoderdataPython
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from . import configure, core, draw, io, interp, retrieve, qc __all__ = ["configure", "core", "draw", "io", "interp", "qc", "retrieve"]
StarcoderdataPython
4840456
#!/usr/bin/env python import rospy import pymesh import rospkg import os import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D def extract_centroid_normal_list(mesh_filepath): mesh = pymesh.load_mesh(mesh_filepath) mesh.enable_connectivity() # enables connectivity on me...
StarcoderdataPython
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# coding=utf-8 """ ``fish_data`` 包含的是一些与数据信息相关的函数,比如银行卡、身份证信息的生成和校验。 在我们进行一些开发测试、功能测试、自动化测试、压力测试等场景下,都需要模拟身份证、银行卡等信息。 fish_data 中的函数就是用在这样的场景。注意,这些函数不会生成真实的身份证和银行卡号。 """ # 2018.12.9 v1.1.3 created by <NAME> # 2019.1.13 edit by <NAME>, #202 优化 class CardBin(), class IdCard() import re import sqlite3 import os from ...
StarcoderdataPython
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<filename>main/views.py from django.shortcuts import get_object_or_404, render from django.http import Http404 from .models import MainMetadata from cal.models import Event from classes.models import ClassInstance from cal.models import Event from datetime import date, timedelta # Create your views here. def about(r...
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<reponame>CURG/rpcz #!/usr/bin/env python from rpcz import compiler from os import listdir from os.path import isfile, join # compiler.generate_proto('../common/search.proto', '.') # compiler.generate_proto( # '../common/search.proto', '.', # with_plugin='python_rpcz', suffix='_rpcz.py', # plu...
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import itertools from datetime import timedelta from unittest.mock import Mock from pfun import schedule, success two_seconds = timedelta(seconds=2) def test_spaced(): deltas = schedule.spaced(two_seconds).run(None) assert list(itertools.islice(deltas, 3)) == [two_seconds] * 3 def test_exponential(): ...
StarcoderdataPython
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# -*- coding: utf-8 -*- from numpy import * import pyximport ; pyximport.install() from munkres_step4 import step1_cython, step2_cython, step3_cython from munkres_step4 import step4_cython, step5_cython, step6_cython from munkres_step4 import compute_cost class Munkres2: starred = array([]) primed = array(...
StarcoderdataPython
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<reponame>KartikKannapur/HackerRank #Problem 20: #n! means n × (n − 1) × ... × 3 × 2 × 1 #For example, 10! = 10 × 9 × ... × 3 × 2 × 1 = 3628800, #and the sum of the digits in the number 10! is 3 + 6 + 2 + 8 + 8 + 0 + 0 = 27. #Find the sum of the digits in the number 100! import sympy as sp def main(num): val = sp...
StarcoderdataPython
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from locust import HttpUser, between, task, tag class ESGFUser(HttpUser): host = "http://esgf3.dkrz.de" wait_time = between(5, 15) @task def catalog(self): query = "/thredds/catalog/catalog.html" with self.client.get(query, catch_response=True, name="catalog") as response: ...
StarcoderdataPython
156704
# from url_encoding import make_url # full url encoding import urllib try: # Python2 and python3 comatible code from urllib.parse import urlparse except ImportError: from urlparse import urlparse def make_url(string): '''Encode every char in percentage format''' return "".join("%{0:0>2}".format(form...
StarcoderdataPython
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<filename>python/python/linked_list/linked.py class Node: """ this is the constructor. """ def __init__ (self, val = None, next = None): self.val = val self.next = next class LinkedList: """ stores reference to head node, and interacts with nodes, but is not a node. """ ...
StarcoderdataPython
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<reponame>khramtsova/federated<filename>tensorflow_federated/python/learning/federated_evaluation.py # Lint as: python3 # Copyright 2019, The TensorFlow Federated Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obt...
StarcoderdataPython
1770318
import json from collections import namedtuple from pathlib import Path import torch from torch.utils.data import Dataset from PIL import Image annotations = namedtuple('Annotations',['image_id','sentences']) class Flickr8k(Dataset): """ for flickr 8k dataset.""" def __init__(self, img_dir, ann_file, vocab,...
StarcoderdataPython
51884
class Parser: def __init__(self, *args, **kwargs): import argparse self.parser = argparse.ArgumentParser( description='Request Ray-Triangle computations to the PYNQ-Z1 renderer.') client_info = 'client: runs on any machine that accesses the PYNQ-Z1 renderer' server_inf...
StarcoderdataPython
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<filename>ubcs_auxiliary/other.py<gh_stars>0 """ advance Sleep functions author: <NAME> data: 2017 - Nov 17 2018 functions: psleep - precision sleep takes intsleep with inputs t, dt and interupt as a function. The precision sleep class. functiob: psleep - sleep specified amount of time with sub milisecond precision t...
StarcoderdataPython
3360634
from .base import Piece, Color, PieceRepresentation import numpy as np class Pawn(Piece): def __init__(self, color, *args, **kwargs): """Initialise bishop, sets color of piece.""" # Initialise bishop with correct symbol super().__init__( color, symbol = PieceReprese...
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<filename>boa3_test/test_sc/class_test/UserClassAccessInstanceVariableOnMethod.py<gh_stars>10-100 from boa3.builtin import public class Example: def __init__(self): self.val1 = 1 self.val2 = 4 def get_val1(self) -> int: return self.val1 def get_val2(self) -> int: return s...
StarcoderdataPython
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<filename>core/platform/taskqueue/gae_taskqueue_services.py # coding: utf-8 # # Copyright 2014 The Oppia Authors. 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 # # ...
StarcoderdataPython
47715
<filename>flowsa/NOAA_FisheryLandings.py # write_NOAA_fisheries_from_csv.py (scripts) # !/usr/bin/env python3 # coding=utf-8 # <EMAIL> """ This script is run on it's own, not through flowbyactivity.py, as data pulled from csv in flowsa. NOAA fisheries data obtained from: https://foss.nmfs.noaa.gov/apexfoss/f?p=215:20...
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90841
# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # --------------------------------------------------------------------...
StarcoderdataPython
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# Generated by Django 2.1.7 on 2019-06-05 12:37 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ("user", "0022_auto_20190604_1550"), ] operations = [ migrations.RemoveField( model_name="user", name="user_settings", ...
StarcoderdataPython
1740170
import os from setuptools import find_packages, setup def read(fname): return open(os.path.join(os.path.dirname(__file__), fname)).read() setup( name='pifttt', version='0.0.1', author='<NAME>', author_email='<EMAIL>', description='A Python package to simplify sending requests to IFTTT webho...
StarcoderdataPython
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#!/usr/bin/env python3 import math class UnitVectors: """List of unit vectors""" def __init__(self, vectors): self.vectors = vectors def __getitem__(self, k): return self.vectors[k % len(self.vectors)] @staticmethod def Create(count=8): step = 360.0 / count unit_v...
StarcoderdataPython
3379391
#!/usr/bin/env python3 """ Pixel Art Fx :copyright: 2015 <NAME>. :license: Apache 2.0. """ from setuptools import setup DESCRIPTION = 'Pixel Art effects' setup(name='pafx', version='0.1.0', description=DESCRIPTION, author='<NAME>', author_email='<EMAIL>', license='Apacke 2.0', pl...
StarcoderdataPython
1738792
from raiden.exceptions import HashLengthNot32 from raiden.utils import sha3, split_in_pairs # the layers grow from the leaves to the root LEAVES = 0 MERKLEROOT = -1 def hash_pair(first, second): """ Computes the keccak hash of the elements ordered topologically. Since a merkle proof will not include all the...
StarcoderdataPython
3237850
<filename>brute-csrf.py<gh_stars>0 import sys,re, requests, random if len(sys.argv) != 4: print ('Example python brute-csrf.py http://10.10.10.10/admin/login user wordlist') sys.exit() HOST = sys.argv[1] USER = sys.argv[2] WORDLIST = sys.argv[3] PROXY = { 'http':'//127.0.0.1:8080' } def init_session(): #...
StarcoderdataPython
133454
import numpy as np import pandas as pd import statsmodels.api as sm from statsmodels.imputation.bayes_mi import BayesGaussMI, MI from numpy.testing import assert_allclose def test_pat(): x = np.asarray([[1, np.nan, 3], [np.nan, 2, np.nan], [3, np.nan, 0], [np.nan, 1, np.nan], [3, 2, 1]]) ...
StarcoderdataPython
168011
<reponame>prattl/teamfinder-web from django.core.management.base import BaseCommand, CommandError from django.template.loader import render_to_string from common.models import EmailTag from tf_auth.models import TFUser class Command(BaseCommand): def handle(self, *args, **options): for user in TFUser.obj...
StarcoderdataPython
3246655
<filename>src/combinatory_input/hid.py import fcntl import os import io import threading from struct import unpack from combinatory_processing import source_poll from .low_level import ImpulseBuffer INITIAL_VALUES = { 'axis': 0, 'flag': False } class StateRegister: def __init__(self, input_type): ...
StarcoderdataPython
102763
from __future__ import absolute_import, division, print_function import codecs try: from collections import OrderedDict except ImportError: from ordereddict import OrderedDict import copy import os import os.path as path import sys import toml import nfldb import nflfan.provider as provider import nflfan.sco...
StarcoderdataPython
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import unittest import json from PingMePy import PingMeClient __author__ = 'TheGreatCO' class PingMeTests(unittest.TestCase): client = PingMeClient("<EMAIL>", "c954a569-3905-4e51-9590-714be9fafe62", "http://ec2-52-27-76-79.us-west-2.compute.amazonaws.com:8080") def get...
StarcoderdataPython
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<gh_stars>1-10 # agol_operator.py - logic for all AGOL airflow operators import logging import os import json import hashlib from datetime import datetime from pathlib import Path import requests from airflow.models.baseoperator import BaseOperator from airflow.utils.decorators import apply_defaults # init some vars...
StarcoderdataPython
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<gh_stars>1-10 # -*- coding: utf-8 -*- """ mathdeck.check ~~~~~~~~~~~~~~ This module checks if a user submitted answer is equal to an answer defined in a problem file. :copyright: (c) 2014-2016 by <NAME>. :license: Apache 2.0, see ../LICENSE for more details. """ import os import sys from mathdeck import load, sett...
StarcoderdataPython
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import jenkins import pandas as pd from kpireport.datasource import Datasource import logging LOG = logging.getLogger(__name__) class JenkinsDatasource(Datasource): """Provides accessors for listing all jobs and builds from a Jenkins host. The Jenkins Datasource exposes an RPC-like interface to fetch all ...
StarcoderdataPython
1661001
# -*- coding: utf-8 -*- # Form implementation generated from reading ui file './modules/dialogPassword.ui' # # Created by: PyQt4 UI code generator 4.12.1 # # WARNING! All changes made in this file will be lost! from PyQt4 import QtCore, QtGui try: _fromUtf8 = QtCore.QString.fromUtf8 except AttributeError: de...
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123991
''' The MIT License (MIT) Copyright (c) 2015 <NAME> - https://github.com/janglapuk/SPB-OpenCV-Recognizer Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without lim...
StarcoderdataPython
184876
#!/usr/local/bin/python import datetime, MySQLdb, os class db: def __init__(self, cgibin='../cgi-bin'): dbd = eval(open(cgibin + '/.dbconnect').read()) self.db = MySQLdb.connect(user=dbd['user'], passwd=dbd['passwd'], db=dbd['db']) self.cgibin = cgibin # user functions def login(self, name, passwd):...
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import os def getPackages(dir, includePrivates=False): names = os.listdir(dir) for name in names: if name[0] == '_' and not includePrivates: continue name_parts = os.path.basename(name).split('.') if len(name_parts) > 1 and name_parts[1] != 'py': continue ...
StarcoderdataPython
1670051
from django.shortcuts import render from django.http import HttpResponse from django.shortcuts import render from django.db.models import Q from iRiffSync.models import iRiffItem from iRiffSync.iRiffClient import iRiffClient def index(request): return render(request, 'searchUI/index.html', {}) def search(request): ...
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# This script creates a callable class which runs a single Perceptron # The perceptron is able to solve the logical OR, the logical AND, but not # The logical XOR problem. The only library used is numpy. # # Code from <NAME>, Machine Learning An Algorithmic Perspective, 2nd edition # https://seat.massey.ac.nz/pers...
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BBBB BBBBBBBBBBBBBBBBBB BB BBBBBBBBBBBBBBB BBBB XXXX XXXXXXXXX XXXXXXXXXXXXXXXXXBB BBBBBBBBBBBB XXXXXBBBBBBB BBBBBBBBBBBBBBBBB XXXXXXXXBBBBBBB BBBBBBBBBBBBBBBBBBBBBBBBBBBBBB BBBBBBB BBBBBBBBBBBBBBBBB BBBBBXX BBB BBBBB BB BBBBBBBBBBBB XX XXXXXXXXXXXX XXXXXXXXXXXXXXXXXXX ...
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<reponame>gitjot/python-for-lccs # Event: LCCS Python Fundamental Skills Workshop # Date: May 2018 # Author: <NAME>, PDST # eMail: <EMAIL> # Purpose: A loop to draw a square from turtle import * # Draw a square using a loop for count in range(4): forward(100) left(90)
StarcoderdataPython
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<reponame>ars-1/Modular<gh_stars>0 from django.urls import path from Guardian import views urlpatterns = [ path('signup/', views.SignUp, name='signup'), path('login/',views.Login, name='login'), path('logout/',views.Logout,name='logout'), ]
StarcoderdataPython
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import os import numpy as np import visualize as artist import matplotlib.pyplot as plt from matplotlib import rcParams rcParams['text.usetex'] = True def jaccard_index(abstract,topic): abstract = set(abstract) topic = set(topic) return len(abstract & topic)/float(len(abstract | topic)) def parse(data): ans ...
StarcoderdataPython
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<reponame>ryanjsfx2424/ComputationalFluidDynamicNFTs import time; start = time.time() import numpy as np import matplotlib.pyplot as plt import matplotlib.font_manager csfont = {"fontname":"Adobe Garamond Pro"} TMI = 12 TMA = 14 TIT = 18 LAB = 16 with open("rootroopnft.txt", "r") as fid: line = fid.read() # end wit...
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<reponame>ehasting/psybot import sqlite3 import json import ast import os import sys import libs.Loggiz as Loggiz import libs.SerializableDict as SerializableDict ''' Copyright (c) 2016, <NAME> All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided t...
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#RESOLUÇÃO DO PROFESSOR/LEONARDO: from time import sleep import random print('''Escolha uma opção: [ 0 ] - PEDRA [ 1 ] - PAPEL [ 2 ] - TESOURA ''') print('-=-'*30) jog = int(input('Qual é a sua jogada? ')) if jog<0 or jog>2: print('COMANDO INVÁLIDO, TENTE NOVAMENTE') exit() sleep(0.5) print('PEDRA...') sleep(1...
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<reponame>ypspy/audit_activity_classification # -*- coding: utf-8 -*- """ Created on Sun Jul 25 23:32:14 2021 @author: yoonseok """ from ckonlpy.tag import Twitter from collections import defaultdict import os import pandas as pd import numpy as np import re from tqdm import tqdm import math import pickle from skle...
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import os import sys import unittest sys.path.append(os.path.dirname(os.path.dirname(__file__))) from common.data.joker import user from common.model.chrome import Chrome from common.model.log4p import log from pages import * class AuthorizeTest(unittest.TestCase): def setUp(self): self.driver = Chrome...
StarcoderdataPython
150501
<reponame>AprilXiaoyanLiu/whitenoise-system from enum import Enum import numpy as np class Mechanism(Enum): gaussian = 1 laplace = 2 geometric = 3 class AdditiveNoiseMechanism: """ Adds noise to an exact aggregated quantity. """ def __init__( self, epsilon, *ignore, delta=0.0, sen...
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<reponame>rafalpotempa/image-similarity import numpy as np from metrics_engine import MetricsEngine def test_load_metrics(): # given engine = MetricsEngine() expected_metrics_names = ['psnr_metric', 'rmse_metric'] # when engine.load_metrics('../plugins') # then assert len(engine.metrics_list) == 2 metrics_na...
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<reponame>Oliver-Yan-2019/algorithm<filename>Others/CustomerRange/__init__.py from Others.SequenceABC import Sequence class CustomerRange(Sequence): def __init__(self, start, stop=None, step=1): """ 构造函数, 初始化自定义Range实例 :param start: 起始索引 :param stop: 结束索引 :param step: 步长 ...
StarcoderdataPython
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# -*- coding: utf-8 -*- from __future__ import with_statement import collections import glob import json import os import os.path import re import shutil import subprocess import sys import tempfile import unittest import warnings from six import PY3, StringIO, b, text_type from werkzeug.test import Client from werkz...
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<gh_stars>100-1000 import numpy as np import densmap from densmap.load_trial import load_trial try: import matplotlib.pyplot as plt import matplotlib.cm as cm mpl = True except: mpl = False data = load_trial() print(data.shape) # densMAP run print('Running densMAP') emb, ro, re = densmap.densMAP(verb...
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for index in range(1,101): # if index % 15 == 0: # print("fifteen") if index % 3 == 0 and index % 5 == 0 : print("fifteen") elif index % 3 == 0: print("three") elif index % 5 == 0: print("five") else: print(index)
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<reponame>matthewlchambers/flowsa # USDA_ACUP.py (flowsa) # !/usr/bin/env python3 # coding=utf-8 """ Functions to import and parse USDA Chemical Use Survey """ import json import pandas as pd from flowsa.location import US_FIPS, abbrev_us_state from flowsa.common import WITHDRAWN_KEYWORD, log from flowsa.flowbyfunctio...
StarcoderdataPython
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#!/usr/bin/env python # -*- coding: utf-8 -*- import os import os.path import stat import subprocess import sys from . import options, util from .branch import Branch from .checkout import Checkout HOOKSCRIPT = """ #!/usr/bin/env bash set -e; set -o pipefail; export PATH=$PATH:{path_suffix} logging_wrapper pypaas g...
StarcoderdataPython
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<filename>test_array_slicing.py import unittest import numpy as np from numpy.testing import assert_array_equal class TestArraySlicing(unittest.TestCase): def test_slicing_1d(self): vector = np.arange(10) assert_array_equal(vector[2:5], np.array([2, 3, 4])) def test_slicing_1d_with_step(self)...
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<gh_stars>0 import torch from torch.autograd import Variable import numpy as np from train import params from util import utils import torch.optim as optim def train(training_mode, feature_extractor, class_classifier, domain_classifier, class_criterion, domain_criterion, source_dataloader, target_dataload...
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<reponame>obrmmk/multiese-1<filename>new_corpus/_matplotlib_marker.py import matplotlib.pyplot as plt データ列 = [1, 2, 3] データ列2 = [2, 3, 4] __X__ = '.' marker = __X__ ''' @X('.';'o';'^';'v';'<';'>';'x';'X';'s';'D';'*') @Y(ポイント;丸;[[|上]三角|▲|△];[下三角|▽|▼];左三角;右三角;[バツ|クロス];大バツ;四角;[ダイアモンド|菱形];星) @alt(マーカー|印) <オプション>マーカーを__Y...
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<filename>tracker.py import cv2 import numpy as np import matplotlib.pyplot as plt # Polynomial fit values from the previous frame # Make sure to grab the actual values from the previous step in your project! left_fit = np.array([2.13935315e-04, -3.77507980e-01, 4.76902175e+02]) right_fit = np.array([4.17622148e-04, ...
StarcoderdataPython
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<filename>devices/master/splthread.py #!/usr/bin/env python # -*- coding: utf-8 -*- import sys import os import threading from abc import ABCMeta, abstractmethod class SplThread(metaclass=ABCMeta): '''Partly abstract class to implement threading & message handling ''' def __init__(self, msg_handler, child): s...
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<reponame>SolarSPELL-Main/DLMS # Generated by Django 2.1.3 on 2020-02-12 19:36 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('content_management', '0038_auto_20200124_1342'), ] operations = [ migrations.RemoveField( model_n...
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<filename>app/request_parsers/hostname.py import re from request_parsers import errors from request_parsers import json _HOSTNAME_PATTERN = re.compile(r'^[-0-9a-z]{1,63}$') def parse_hostname(request): """ Parses the hostname property from the request. Checks whether the hostname is valid according to t...
StarcoderdataPython
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import numpy from matplotlib import pyplot import itertools import click @click.command() @click.option("--length", "-l", default=50, help="Length of the system.") @click.option("--jex", default=1.0, help="Exchange constant.") def main(length, jex): N = length * length sites = [] spins = [] sites = l...
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import functools import operator from pathlib import Path input_file_name = Path(__file__).with_suffix('.txt').name with open(Path('2020/inputs') / input_file_name) as f: data = f.readlines() # def write(): # with open(Path('2020/inputs') / input_file_name, 'w') as f: # for line in data: # ...
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#!/usr/bin/env python # -*- coding: utf-8 -*- __title__ = 'pyloghandlers' __description__ = 'A python log handler packages with supported Multi-process' __version__ = '0.0.3' __url__ = 'https://github.com/ugvibib/pyloghandlers' __author__ = 'ugvibib' __author_email__ = '<EMAIL>' __license__ = 'Apache License Version ...
StarcoderdataPython
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import pandas as pd from sklearn.model_selection import StratifiedShuffleSplit, ShuffleSplit import numpy as np from sklearn.ensemble import RandomForestClassifier from sklearn.feature_extraction.text import CountVectorizer from nltk.corpus import stopwords from nltk.tokenize import word_tokenize from sklearn.metrics i...
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from flask_restful import Resource import requests pomber_covid_stats = requests.get('https://pomber.github.io/covid19/timeseries.json') coronastatistics_url = 'http://api.coronastatistics.live' class Stats(Resource): def get(self): return {'status': 'success', 'data': pomber_covid_stats.json()}, 200 ...
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import base64 from _hashlib import HASH from dataclasses import dataclass from hashlib import md5 from io import DEFAULT_BUFFER_SIZE from typing import IO, Callable @dataclass() class Hash(object): _h: HASH def digest(self) -> bytes: return self._h.digest() def hexdigest(self) -> str: re...
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<filename>source/heartbeats/soundwav_util.py import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt from scipy.io import wavfile import os def convert_to_spectrogram(wav_file, class_label): rate, data = get_wave_info(wav_file) nfft = 256 # Length of the windowing segments fs = 256 # Sa...
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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 ...
StarcoderdataPython
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from datetime import timedelta as td from django.conf import settings from django.core.signing import base64_hmac from django.utils.timezone import now from hc.api.models import Check from hc.test import BaseTestCase class BadgeTestCase(BaseTestCase): def setUp(self): super(BadgeTestCase, self).setUp()...
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from snovault import ( upgrade_step, ) @upgrade_step('workflow_run_awsem', '1', '2') @upgrade_step('workflow_run_sbg', '1', '2') @upgrade_step('workflow_run', '1', '2') def workflow_run_1_2(value, system): '''Change input_files.format_if_extra to FileFormat''' formats = system['registry']['collections']['...
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<reponame>pierpaolofiore/A001026<filename>04-Cloud_Computing-Managing_Data-Environmental_Data/NetCDF2Cloud/slice.py<gh_stars>0 from netCDF4 import Dataset from os import mkdir, path, remove, makedirs import numpy as np from time import perf_counter import json from sys import exit import sys if not sys.warnoptions:...
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# coding: utf-8 r""" >>> from django.contrib.comments.models import Comment >>> from django.contrib.auth.models import User >>> u = User.objects.create_user('commenttestuser', '<EMAIL>', '<PASSWORD>pw') >>> c = Comment(user=u, comment=u'\xe2') >>> c <Comment: commenttestuser: â...> >>> print c commenttestuser: â... ""...
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#Fibonacci up to n def user_input(min, max): digits = 0 while ( min > digits or digits > max): digits = input("Enter number, n, between {} and {} to generate fibonacci up to n: ".format(min, max)) try: digits = int(digits) except: digits = 0 return digits ...
StarcoderdataPython
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<reponame>williamliee/crptobotwill<gh_stars>1000+ """ RSI Indicator """ import math import pandas from talib import abstract from analyzers.utils import IndicatorUtils class RSI(IndicatorUtils): def analyze(self, historical_data, period_count=14, signal=['rsi'], hot_thresh=None, cold_thresh=Non...
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from elapsedTimerPy import elapsedTimer timer = elapsedTimer.Timer() timer.set_start() tmp1 = [i for i in range(10000)] timer.add_point("point1") tmp2 = [i for i in range(10000)] timer.set_end() timer.print()
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<reponame>volfpeter/markyp-bootstrap4 """ CSS class names for coloring. See https://getbootstrap.com/docs/4.0/utilities/colors/ for more information. """ __all__ = ("bg", "text") class __Background(object): """ CSS class names for background coloring. """ __slots__ = () @property def prim...
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from tqdm import tqdm import os import shutil import numpy as np import pandas as pd from models import * from metrics import * import time import datetime import torch import torch.nn as nn import torch.optim as optim from torch.utils.data import Dataset, DataLoader from torch.autograd import Variable import torch.uti...
StarcoderdataPython