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FTP_PATH = 'ftp.1000genomes.ebi.ac.uk' BASE_PATH = '/vol1/ftp/phase3/data' EXOME_ALIGNMENT_DIR = 'exome_alignment' ALIGNMENT_DIR = 'alignment' DEFAULT_FILE_FORMAT = 'bam' OUTPUT_FOLDER = 'samples' FORMATS = dict(bam=('bam', 'bai'), cram=('cram', 'crai'))
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#!/usr/bin/python ''' Author: <NAME> <EMAIL> www.bitforestinfo.com Description: This Script is Part of https://github.com/surajsinghbisht054/reinforcement_learning_scripts Project. I Wrote this script just for Educational and Practise Purpose Only. =================...
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<filename>appliance/src/ufw_interface.py #!/usr/bin/env python #shamelessy stolen from: https://gitlab.com/dhj/easyufw # A thin wrapper over the thin wrapper that is ufw # Usage: # import easyufw as ufw # ufw.disable() # disable firewall # ufw.enable() # enable firewall # ufw.allow() #...
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from mesher.cgal_mesher import ConstrainedDelaunayTriangulation as CDT from mesher.cgal_mesher import ( Point, Mesher, make_conforming_delaunay, make_conforming_gabriel, Criteria ) def main(): cdt = CDT() va = cdt.insert(Point(100, 269)) vb = cdt.insert(Point(246, 269)) vc = cdt.insert(Point(246, ...
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<gh_stars>0 # Enter positive floating-point number as input # Output an approximation of its square root from math import sqrt def squareroot(x): return(sqrt(x)) x = float(input("Please enter a positive number: ")) ans = (sqrt(x)) y = format(ans, ".1f") print("The square root of %s is approx." % x, y) # push t...
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<filename>sktime/classification/interval_based/_cif.py # -*- coding: utf-8 -*- """CIF classifier. Interval based CIF classifier extracting catch22 features from random intervals. """ __author__ = ["MatthewMiddlehurst"] __all__ = ["CanonicalIntervalForest"] import math import numpy as np from joblib import Parallel,...
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<gh_stars>1-10 import pandas as pd import numpy as np from matplotlib import pyplot as plt import seaborn as sns import warnings warnings.simplefilter('ignore') from pylab import rcParams rcParams['figure.figsize'] = 8, 5 import time def timeConvert(x): return int(x[0] + x[1]) * 60 + int(x[3] + x[4]) def con...
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#!/usr/bin/env python import os from argparse import ArgumentParser from pprint import pprint from cncframework import graph, parser from cncframework.events.eventgraph import EventGraph from cncframework.inverse import find_step_inverses, find_blame_candidates, blame_deadlocks def pprint_inverses(graphData): fo...
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<reponame>salam20-meet/meet2018y1final-proj from PIL import Image import turtle import random import math screen = turtle.Screen() screen_x = 700 screen_y = 1050 screen.setup(screen_x, screen_y) player = turtle.Turtle() bg = Image.open('background.jpeg') pix=bg.load() bagr=bg.resize((700,1050),Image.ANTIALIAS) bagr....
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<filename>tests/test_agg.py from __future__ import annotations import unittest from typing import Callable from apm import * class AggregationsTest(unittest.TestCase): def test_agg_set(self): result = match([ 'foo', 3, 'bar', 10, -4, ...
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from django.conf.urls import url from django.conf.urls import patterns from django.views.generic import TemplateView view = TemplateView.as_view(template_name='dummy.html') urlpatterns = patterns('', url(r'^nl/foo/', view, name='not-translated'), )
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<reponame>CDLUC3/counter-processor import config import json from models import * from peewee import * from .report import Report from .id_stat import IdStat from .json_metadata import JsonMetadata import datetime import dateutil.parser import io import datetime #import ipdb; ipdb.set_trace() class JsonReport(Report):...
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# -*- coding: utf-8 -*- # Generated by Django 1.10 on 2017-02-04 19:14 from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('contactboard', '0002_mare_pare_a_tutors'), ] operations = [ migrations.RemoveField( ...
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import json import requests from datetime import datetime from playsound import playsound tday=datetime.today().strftime('%Y-%m-%d') right_now=datetime.today().strftime('%I-%M-%p') response = requests.get("https://www.londonprayertimes.com/api/times/?format=json&key=0239f686-4423-408e-9a0c-7968a403d197&year=&mont...
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<reponame>fcchou/gan_models """ Train the Yelp photo generator Example command: python -m examples.yelp_photos.train_photo_generator --input-path=processed_photos.npy \ --epochs=5 --batch-size=64 --iters=75 """ import argparse import numpy as np import keras import matplotlib.pyplot as plt from gan_models.mo...
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#!/usr/bin/env python import cv2 import dlib import rospy from sensor_msgs.msg import Image from cv_bridge import CvBridge, CvBridgeError from ros_face_recognition.srv import Face import config import face_api _service = "/{}/faces".format(config.topic_name) class ImageReader: def __init__(self): self....
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<filename>parkstay/cron.py from datetime import date, timedelta from django_cron import CronJobBase, Schedule from parkstay.models import Booking from parkstay.reports import outstanding_bookings from parkstay.emails import send_booking_confirmation from parkstay.utils import oracle_integration class UnpaidBookingsRe...
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bind = "0.0.0.0:80"
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<gh_stars>0 from __future__ import print_function import torch # import networkx as nx import torch.nn as nn import torch.nn.functional as F class DQN(nn.Module): def __init__(self, input_dim, hidden_dim, out_dim): super().__init__() self.linear_h = nn.Linear(input_dim, hidden_dim) self.l...
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<filename>blogapp/admin.py from django.contrib import admin from blogapp.models import UserProfile # Register your models here. admin.site.register(UserProfile)
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<filename>tensorflow_graphics/rendering/tests/interpolate_test.py # Copyright 2020 The TensorFlow 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 obtain a copy of the License at # # https://www.apache.org/license...
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#!/usr/bin/python # -*- coding: utf-8 -*- """ Implement a simulator to mimic a dynamic order book environment @author: ucaiado Created on 10/24/2016 """ import datetime import logging import os import sys import pandas as pd import numpy as np import pickle import pprint import gzip import random import time from mar...
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<filename>eslearn/GUI/easylearn_main_run.py #!/usr/bin/python3 # -*- coding: utf-8 -*- """ Main GUI of the easylearn # Author: <NAME> <<EMAIL>> # License: MIT """ import sys import os import json from PyQt5.QtWidgets import QApplication, QMainWindow, QMessageBox, QFileDialog from PyQt5.QtGui import QIcon, QPixmap f...
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import collections import contextlib import hashlib import json import os from typing import Dict, Iterator, List, Optional from .api import API from . import buildroot from . import host from . import objectstore from . import remoteloop from .devices import Device, DeviceManager from .inputs import Input from .mount...
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<reponame>Fireman730/tap-as-a-service # Copyright (C) 2018 AT&T # 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://www.apache.org/licenses/LICE...
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import requests from models import Torrent from provider import BaseProvider from humanize import naturalsize class YTS(BaseProvider): def __init__(self, base_url): super(YTS, self).__init__(base_url) def search(self, query): payload = { 'query_term': query, 'sort': 'title', 'ord...
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import argparse import numpy as np def Read_Evaluation(): '''Read all files in list and evaluate the count of the variants''' variantDict={} sample_names=[] varType='' plist=open(opts.pathList) for line in plist: varType=line.split('/')[-1].split('_')[0] sample_names.append...
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<reponame>kuanpern/jupyterlab-snippets-multimenus constants.physical_constants["Loschmidt constant (273.15 K, 100 kPa)"]
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# This scripts initializes a Model_Manager object a Traffic_Model and Cost_Function object # It uses as input a Demand_Assignment objects (demand per path and per time) to generate costs per path as # a Path_Costs object # This particular model uses a Static model and BPR Cost_Function model import numpy as np from co...
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<reponame>0x20Man/Watcher3<filename>lib/hachoir/parser/misc/mapsforge_map.py """ Mapsforge map file parser (for version 3 files). Author: <NAME> References: - http://code.google.com/p/mapsforge/wiki/SpecificationBinaryMapFile - http://mapsforge.org/ """ from hachoir.parser import Parser from hachoir.field import (Bi...
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<reponame>kalxas/eoxserver<gh_stars>10-100 # ------------------------------------------------------------------------------ # # Project: EOxServer <http://eoxserver.org> # Authors: <NAME> <<EMAIL>> # # ------------------------------------------------------------------------------ # Copyright (C) 2017 EOX IT Services Gm...
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<filename>test/test_impuritysolver.py import unittest from pytriqs.operators import c, c_dag from pytriqs.gf import BlockGf, GfImFreq, SemiCircular, iOmega_n, inverse from cdmft.impuritysolver import ImpuritySolver class TestImpuritySolver(unittest.TestCase): def test_ImpuritySolver_initialization(self): ...
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<reponame>carlocastoldi/wyvern #!/usr/bin/env python3 # # Copyright 2018 | <NAME> <<EMAIL>> # # 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 ...
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<reponame>sohammanjrekar/HackerRank<filename>10 Days of Statistics/Day 5 - Normal Distribution I.py """ Day 5: Normal Distribution I In certain plant, the time taken to assemble a car is a random variable, X having a normal distribution with a mean of 20 hours and a standard deviation of 2 hours. What is the proba...
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from collections import Counter def solve(N, A): ans = float('inf') cnts = Counter(Counter(A).values()) for x in cnts.keys(): cur = 0 for y in cnts.keys(): if y > x: cur += (y - x) * cnts[y] elif y < x: cur += y * cnts[y] ans = min(ans, cur) return ans f...
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import os ROOT_DIR = os.path.dirname(os.path.abspath(__file__)) IMAGES_DIR = os.path.join(ROOT_DIR, 'tmp/images') ARCHIVES_DIR = os.path.join(ROOT_DIR, 'tmp/archives') TEXTS_DIR = os.path.join(ROOT_DIR, 'tmp/texts') IMAGES_SCRAPING_TYPE = 'images-type' TEXTS_SCRAPING_TYPE = 'texts-type' redis_host = "localhost" redis...
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<reponame>drewmee/opcsim d2 = opcsim.load_distribution("Marine") d3 = opcsim.load_distribution("Rural") ax = opcsim.plots.pdfplot(d) ax = opcsim.plots.pdfplot(d2, ax=ax) ax = opcsim.plots.pdfplot(d3, ax=ax) ax.set_title("Various Aerosol Distributions", fontsize=16) ax.legend(loc='best') sns.despine()
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""" @package mi.dataset.parser @file mi-instrument/mi/dataset/parser/ctdav_nbosi_auv.py @author <NAME> @brief Parser and particle Classes and tools for the ctdav_nbosi_auv data Release notes: initial release """ __author__ = '<NAME>' from mi.core.log import get_logger log = get_logger() from mi.dataset.parser.auv_...
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class Solution: def numSpecialEquivGroups(self, A): """ :type A: List[str] :rtype: int """ adic = collections.Counter() l = len(A[0]) for a in A: evenA = sorted([a[c] for c in range(0, l, 2)]) oddA = sorted([a[c] for c in range(1, l, 2...
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from dataclasses import dataclass from functools import total_ordering from typing import Any, cast @dataclass class OrderElement: name: str value: int # @total_ordering class Order: def __init__(self, client_name: str) -> None: self.client_name = client_name self.elements: list[OrderEle...
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class HelpVar: def __init__(self): self.wificonfig = False self.validconfig = False helpobj = HelpVar()
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<reponame>dj0wns/MA_MST_Extractor-DEPRECATED-<filename>loaders/csv.py import json from loaders.base import Loader """ Dump everything in the format: type 0 ascii str - "a:string" type 1 float num - 123 type 2 utf16 str - "u:string" ex: { "some_key": ["u:äöõö", 123, "a:hello", ...], "some_other_key": [956, "...
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<filename>exercise/week4/ex2.py def interlock(word1, word2, word3): if (not word1) or (not word2) or (not word3): return False interlocked = "" for i in range(len(min([word1, word2], key=len))): interlocked += (word1[i] + word2[i]) if word3 == (interlocked + max([word1, word2], key=le...
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#!/usr/bin/env python """ File: DataSet Date: 5/1/18 Author: <NAME> (<EMAIL>) This file provides loading of the BraTS datasets for ease of use in TensorFlow models. """ import os import pandas as pd import numpy as np import nibabel as nib from tqdm import tqdm from BraTS.Patient import * from BraTS.structure impo...
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<gh_stars>1-10 x=100 text="python tutorial" print(x) print(text) # Assign values to multiple variables x,y,z=10,20,30 print(x) print(y) print(z)
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from OpenGL.GL import * from OpenGL.GLUT import * from OpenGL.GLU import * from typing import Callable from functools import wraps class glpy: """Main class to initialize OpenGL and Glut functions """ def __init__(self, **kwargs): """initialize the class with the following parameters Keyw...
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import time from .http_request import HttpRequest from .http_response import HttpResponse from .tp_link_cipher import TpLinkCipher class RequestSecurePassthrough(HttpRequest): def __init__(self, cipher: TpLinkCipher, payload: HttpRequest): enc_payload = self.tpLinkCipher.encrypt(payload.get_payload()) ...
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""" Test: header removal """ import os import unittest import ediclean.paxlst as paxlst class TestEdifact(unittest.TestCase): def test_files(self): testfiles_dir = os.path.join(os.path.dirname(__file__), "testfiles", "original") for root, dirs, files in os.wal...
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"""init Revision ID: 61bc6b460d35 Revises: Create Date: 2021-04-28 03:43:32.300947 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = '<KEY>' down_revision = None branch_labels = None depends_on = None def upgrade(): # ### commands auto generated by Alembic...
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<gh_stars>1-10 # Copyright (c) 2021. # The copyright lies with <NAME>, the further use is only permitted with reference to source import urllib.request from RiotGames.API.RiotApi import RiotApi class Match(RiotApi): __timeline_by_match_id_url: str = "https://{}.api.riotgames.com/lol/match/v4/timelines/by-mat...
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from os import path from setuptools import setup, find_packages GAME_ENGINE_VERSION_RAW: str cwd = path.abspath(path.dirname(__file__)) # Import GAME_ENGINE_VERSION_RAW # TODO XXX find a more elegant way of tracking versions with open(path.join(cwd, 'd20', 'version.py')) as f: exec(f.read()) with open(path.join...
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''' 059. Spiral Matrix II - LeetCode https://leetcode.com/problems/spiral-matrix-ii/description/ ''' # import numpy as np class Solution(object): def generateMatrix(self, n): """ :type n: int :rtype: List[List[int]] """ if n == 0: return [] # ret = np.ze...
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<reponame>Vipheak/College-Manager import sys, os; from PyQt5.QtWidgets import QDialog; from PyQt5 import uic; from PyQt5.QtCore import QFile, QIODevice, QTextStream; #from src.lib.database import DBManager; class DBConfig(QDialog): nameInConfig = ""; usernameInConfig = ""; passwordInConfig = ""; hostna...
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#!/usr/bin/env python # Copyright (c) 2013, Digium, Inc. # Copyright (c) 2014-2016, Yelp, Inc. import os from setuptools import setup import bravado setup( name="bravado", # cloudlock version, no twisted dependency version=bravado.version + "cl", license="BSD 3-Clause License", description="Lib...
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<gh_stars>0 from pid import PID from lowpass import LowPassFilter from yaw_controller import YawController import rospy GAS_DENSITY = 2.858 ONE_MPH = 0.44704 class Controller(object): def __init__(self, vehicle_mass, fuel_capacity, brake_deadband, decel_limit, accel_limit, wheel_radius, wheel_b...
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from djfilters import filters from .models import (BooleanModel, DateFieldModel, EmailModel, IpModel, NumberModel, RelatedIntIdModel, RelatedSlugIdModel, TextModel) # Simple Filters class TextFieldFilter(filters.Filter): text = filters.CharField(max_length=10, required=...
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<reponame>dfioravanti/tangles<filename>test/test_utils.py import pytest from src.utils import merge_dictionaries_with_disagreements, matching_items class Test_matching_items(): def test_two_match(self): d1 = {1: True, 2: True, 4: False} d2 = {1: True, 2: True, 3: False} expected = [1, 2]...
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from synapyse.base.input_functions.input_function import InputFunction from synapyse.base.neuron import Neuron __author__ = '<NAME>' class BiasNeuron(Neuron): def __init__(self, activation_function): """ :type activation_function: synapyse.base.activation_functions.activation_function.ActivationF...
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<filename>KF/AUKF.py # Author: <NAME> # Affiliation: Kyoto University # ====================================================================== # 1. (IMPORTANT:CITATION ALERT) # This script is largely an adaptation of the paper DOI:10.3390/s18030808 (Zheng et al., Sensors, 2018). # This paper was chosen as the basis for...
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from stenway.reliabletxt import * class WsvChar: def isWhitespace(c): return (c == 0x09 or (c >= 0x0B and c <= 0x0D) or c == 0x0020 or c == 0x0085 or c == 0x00A0 or c == 0x1680 or (c >= 0x2000 and c <= 0x200A) or c == 0x2028 or c == 0x2029 or c == 0x202F or c == 0x205F or ...
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<reponame>adsonrodrigues/customers from django.core.management.base import BaseCommand, CommandError from clients.models import Profile from django.conf import settings import environ import googlemaps import csv env = environ.Env() environ.Env.read_env() class Command(BaseCommand): help = 'Populanting database...
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import multiprocessing import pickle import random import sys from collections import defaultdict from math import ceil, sqrt import numpy as np from scipy.stats import norm, skewnorm from tqdm import tqdm sys.path.append('..') import features INCOME_SECURITY = { 'employee_wage': 0.8, 'state_wage': 0.9, ...
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<reponame>philsupertramp/django-data-migration import os.path from tests.utils import ResetDirectoryMixin this_dir = os.path.dirname(__file__) class ResetDirectoryContext(ResetDirectoryMixin): targets = ['migrations', 'data_migrations'] protected_files = ['__init__.py', '0001_first.py', '0002_add_name.py'] ...
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import numpy as np from simglucose.analysis.risk import risk_index, magni_RI bg_opt=112.517 #The risk function has a minimun here, ris(112.517)=0 def stepReward3(BG,CGM, CHO, insulin, done=False): bg_current=BG LBGI, HBGI, RI = risk_index([bg_current], 1) mRI = magni_RI([bg_current], 1) if bg_current >= 7...
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import redis from xjkj import settings from django_redis import get_redis_connection class IpConn(object): __instance = None def __init__(self): self._conn = redis.Redis(host=settings.REDIS_ADDR, port=settings.REDIS_PORT, db=3) def __new__(cls, *args, **kwargs): if cls.__instance == None: cls.__instanc...
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<reponame>chrishendra93/dinner_at_clemz from .all_messages import * __all__ = [ 'Eko', 'Emil', 'Marco', 'Ida', 'Karin', 'Rika', 'Zefa', 'Jason', 'Billy', 'Kafi', 'Indrik', 'Toto', 'Acang', 'Bena' ]
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<reponame>babatana/stograde from dataclasses import dataclass, field from typing import List @dataclass class SubmissionWarnings: """Track any warnings about the assignment""" assignment_missing: bool = False # No assignment submission could be found recording_err: str = None # Something raised an error...
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# -*- coding: utf-8 -*- # # Copyright (c) 2016-2017 <NAME> # Copyright (c) 2018 <NAME> (Kronuz) # # 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 limita...
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<gh_stars>1-10 """Remote control support for Apple TV.""" import asyncio from haphilipsjs.typing import SystemType from openpeerpower.components.remote import ( ATTR_DELAY_SECS, ATTR_NUM_REPEATS, DEFAULT_DELAY_SECS, RemoteEntity, ) from . import LOGGER, PhilipsTVDataUpdateCoordinator from .const imp...
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from algorithm.numberTheory.fibonacci import fibonacci_log_n from tests.base_test_case import BaseTestCase class SearchTest(BaseTestCase): def setUp(self): super().setUp() self.num = 100 def test_fibonacci_log_n(self): print(fibonacci_log_n(self.num))
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# # Copyright (C) 2009-2010 <NAME>, <NAME> # # This program is free software; you can redistribute it and/or # modify it under the terms of the GNU General Public License # as published by the Free Software Foundation; either version 2 # of the License, or (at your option) any later version. # # This program is distrib...
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<filename>backend/app/main.py from fastapi import FastAPI, Depends, HTTPException from fastapi.middleware.cors import CORSMiddleware from sqlalchemy.orm import Session from app.database import crud, models, schemas, SessionLocal, engine from app.validate_wasm import validate_wasm from typing import List models....
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<gh_stars>0 """ The LSB implementation of the GIF steganography suite """ from maybe_open import maybe_open import struct all_data = bytearray() def copy_blocks(in_f, out_f): """ Copy through blocks of data """ while True: # Read the block size block_size = in_f.read(1) if len...
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from .provider import Provider class NullProvider(Provider): def connect(self): pass def close(self): pass def get_table_columns(self, table_name): return [] def get_tables(self): return [] def execute(self, query, **kwargs): return None def clear_ta...
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# -*- coding: utf-8 -*- import sys import csv import json def get_selection(pref_code): QUIZ_SELECTION = { "01": ["北海道", "新潟県", "青森県", "秋田県"], "02": ["青森県", "岩手県", "秋田県", "山形県"], "03": ["岩手県", "山形県", "秋田県", "宮城県"], "04": ["宮城県", "岩手県", "福島県", "山形県"], "05": ["秋田県", "青森県", "...
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<filename>login/views.py<gh_stars>0 # encoding: utf-8 from django.shortcuts import render import logging import urllib import urllib2 import json from django.http import HttpResponseRedirect,HttpResponse from mysite import settings from django.core.urlresolvers import reverse from Xromate.lib.User import Users import l...
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from datetime import datetime from typing import Tuple from unittest import mock from freezegun import freeze_time from google.appengine.ext import testbed from werkzeug.test import Client from backend.common.consts.event_type import EventType from backend.common.helpers.event_insights_helper import EventInsightsHelp...
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<gh_stars>10-100 from PIL import Image from sqlalchemy import create_engine from sqlalchemy.orm import sessionmaker from repalette.constants import RAW_DATABASE_PATH from repalette.datasets import AbstractQueryDataset from repalette.db.raw import RawImage class RawDataset(AbstractQueryDataset): """ Dataset o...
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import argparse parser = argparse.ArgumentParser(description='Split a mem into serverl mems.') parser.add_argument('--filename', type=str, required=True, help='mem initial file path') def main(file): f = open(file, "r") res = [] for line in f: line = line.strip() if line == '': ...
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<reponame>nosoyyo/blox<gh_stars>0 # -*- coding: utf-8 -*- # flake8: noqa # @absurdity # pipelines esp. for blox __author__ = 'nosoyyo' ############################################################# #·TwitterPipeline·isn't·working·well·due·to·the·wall·u·know·# ###########################################################...
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import numpy as np import logging from benchmarker import benchmark logger = logging.getLogger('exp11_blocked_matrices') @benchmark def blocked_solve_naive(A1, A2, B, C): C = np.linalg.solve(np.concatenate( (np.concatenate((A1, np.zeros((A1.shape[0], A1.shape[1]), dtype=np.float64)), axis=1), np...
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for _ in range(150): for _ in range(51): print(1, end = ' ') print()
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from django.db import models class Document(models.Model): description = models.CharField(max_length=255, blank=True) document = models.FileField(upload_to='') uploaded_at = models.DateTimeField(auto_now_add=True) def __str__(self): return self.document.name # pylint: disable=arguments-...
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<gh_stars>1-10 """ ゼロから学ぶスパイキングニューラルネットワーク - Spiking Neural Networks from Scratch Copyright (c) 2020 HiroshiARAKI. All Rights Reserved. """ import numpy as np import matplotlib.pyplot as plt class HodgkinHuxley: def __init__(self, time, dt, rest=-65., Cm=1.0, gNa=120., gK=36., gl=0.3, ENa=50., EK=-77., El=-54.3...
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<filename>Codes/fengxuanmo/2_add_two_nums/add_two_nums.py #! coding:utf-8 # Definition for singly-linked list. # class ListNode(object): # def __init__(self, x): # self.val = x # self.next = None def addTwoNumbers(l1, l2): """ :type l1: ListNode :type l2: ListNode :rtype: ListNode...
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<reponame>kiteco/kiteco-public<gh_stars>10-100 from datetime import timedelta import base64 import hashlib import mixpanel import gzip import json import customerio from airflow.contrib.operators.s3_list_operator import S3ListOperator # The DAG object; we'll need this to instantiate a DAG from airflow import DAG # Oper...
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import os from whitenoise import WhiteNoise from django.core.wsgi import get_wsgi_application os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'project_backend.settings') application = get_wsgi_application() application = WhiteNoise(application, root='/frontend/build/static') application.add_files('/static', prefix='m...
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import google.protobuf.json_format as pbjson import os import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D import cv2 import LabeledImage_pb2 import argparse import deepracing.imutils as imutils import torchvision import torchvision.utils as tvutils import torchvision.transforms.f...
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<reponame>LivingLogic/LivingApps.Python.LivingAPI #!/usr/bin/env python # -*- coding: utf-8 -*- # cython: language_level=3, always_allow_keywords=True ## Copyright 2016-2020 by LivingLogic AG, Bayreuth/Germany ## ## All Rights Reserved """ vSQL is a subset of UL4 expressions retargeted for generating SQL exp...
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<reponame>ceafdc/PythonChallenge<gh_stars>1-10 #!/usr/bin/env python3 # url: http://www.pythonchallenge.com/pc/return/5808.html import requests import io import PIL.Image url = 'http://www.pythonchallenge.com/pc/return/cave.jpg' un = 'huge' pw = 'file' auth = un, pw req = requests.get(url, auth=auth) img_io = io.Byt...
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<filename>pydis_site/apps/api/models/bot/role.py from __future__ import annotations from django.core.validators import MinValueValidator from django.db import models from pydis_site.apps.api.models.mixins import ModelReprMixin class Role(ModelReprMixin, models.Model): """ A role on our Discord server. ...
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import os from flask import Flask from flask_sqlalchemy import SQLAlchemy from flask_debugtoolbar import DebugToolbarExtension from flask_cors import CORS db = SQLAlchemy() toolbar = DebugToolbarExtension() cors = CORS() def create_app(): app = Flask(__name__) app.debug = True app_settings = os.getenv(...
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<gh_stars>1-10 import json import uuid import azure.functions as func from scraper_pipeline.models import page_content from scraper_pipeline.process import state_processor def main(msg: func.ServiceBusMessage, notification: func.Out[str]): json_str = msg.get_body().decode('utf-8') content = page_content.Page...
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import copy import json import base64 from functools import partial import asyncio import collections from .values import DocStringLine, MetricValue from .registry import Registry from .task_manager import TaskManager REGISTRY = Registry(task_manager=TaskManager()) DEFAULT_GAUGE_INDEX_KEY = 'GLOBAL_GAUGE_INDEX' ...
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<filename>foundation/erpnext_foundation/doctype/service_provider/service_provider.py # -*- coding: utf-8 -*- # Copyright (c) 2015, EOSSF and contributors # For license information, please see license.txt from __future__ import unicode_literals import frappe from frappe.utils import get_datetime from frappe.model.docum...
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<reponame>TachibanaET/CODSUG2<filename>source/model_fine_tune.py<gh_stars>0 import json import os import numpy as np import argparse from tqdm import tqdm from utility.encode_bpe import BPEEncoder_ja import torch import torch.nn.functional as F import torch.optim as optim from transformers import GPT2Tokenizer, GPT2LMH...
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<gh_stars>10-100 from .target import * from .enumerator import Enumerator, start_tls
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<reponame>osamuaoki/fun2prog #!/usr/bin/python # vi:ts=4:sts=4:et # == c-list # 0 context-switches # 0 cpu-migrations # 784 page-faults # 484275890 cycles # 131868649 stalled-cycles-frontend # 15810580 stalled-cyc...
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# Standard imports import cv2 import argparse import numpy as np ap = argparse.ArgumentParser() ap.add_argument('-i', '--image', required=False, help='Path to the image') args = vars(ap.parse_args()) # Read image image = cv2.imread(args['image']) # image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) dim = (320, 240) ...
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import os from GenericBase import GenericBase from STAPLERerror import VirtualIOError from STAPLERerror import STAPLERerror import utils class samtools_index(GenericBase): """Class for creating command lines for samtools index. Parameters: in_cmd: String containing a command line in_dir...
StarcoderdataPython