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try: from urllib.request import urlopen from urllib.error import HTTPError except ImportError: from urllib2 import urlopen from urllib2 import HTTPError
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# Copyright (c) 2020-2021, NVIDIA CORPORATION. # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed...
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<reponame>campo1312/DataDome # This tutorial is for informational purposes only. I guess you'll add the code to your scripts, go ahead but quote me, thanks. # In the "examples" folder i'll load some DataDome html pages, to let you familiarize with it # How to bypass it? # Basically you need a cookie called "datadome"...
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<reponame>abhinayy0/chat.py from flask import Flask app = Flask(__name__) @app.route("/") def chat(): return "My chat application." if __name__=="__main__": app.run(host = "127.0.0.1", port = 5000, threaded= True, debug= True)
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<gh_stars>10-100 """ Created: Tue Mar 26 09:45:46 2019 @author: <NAME> <<EMAIL>> """ import numpy as np import os from cffi import FFI docompile = False ffi = FFI() if docompile: cwd = os.getcwd() ffi.set_source('_libuq', '', libraries=['uq']) ffi.cdef(""" void __mod_unqu_MOD_init_uq(); ...
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# -*- coding: utf-8 -*- import sys import argparse arg_no = len(sys.argv) tool_parser = argparse.ArgumentParser(add_help=False) tool_subparsers = tool_parser.add_subparsers(help='commands', dest='command') # The rename command. rename_parser = tool_subparsers.add_parser('rename', help='rename an existing user acco...
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import os.path from recoder import Recoder from tk_recoder import gui import config config.load() init_config = config.to_string() log_file = os.path.join(config.application_path, f'{config.application_name}.log') recoder = Recoder(config.config, log_file) gui = gui.Gui(recoder, config.config) def on_close(): ...
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<reponame>YilinLiu97/MR_Fingerprinting # import os.path # import torchvision.transforms as transforms # from data.base_dataset import BaseDataset, get_transform from data.base_dataset import BaseDataset # from data.image_folder import make_dataset # from PIL import Image # import PIL import h5py import random import to...
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def getLate(): v = Late(**{}) return v class Late(): value = 'late'
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#################################################################################################### ## ## Project: Embedded Learning Library (ELL) ## File: demoHelper.py ## Authors: <NAME> ## <NAME> ## ## Requires: Python 3.x ## #####################################################################...
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from django.apps import AppConfig class DietConfig(AppConfig): name = 'diet'
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<reponame>madaoCN/scopus_browser<filename>models/SearchRefModel.py #!/usr/bin/env python # -*- coding: utf-8 -*- # @Time : 2020/5/9 13:15 AM # @Author : MADAO class SearchRefModel(object): def __init__(self): super().__init__() self.raw = None self.doi = None self.title = None ...
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<filename>petstagram/petstagram/accounts/urls.py from django.urls import path from petstagram.accounts.views import UserLoginView, ProfileDetailsView, UserRegisterView urlpatterns = [ path('login/', UserLoginView.as_view(), name='login user'), path('<int:pk>/', ProfileDetailsView.as_view(), name='profile deta...
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<reponame>lucasazevedo/bstgames<filename>bstgames/models.py from django.db import models from stdimage.models import StdImageField from django.core.validators import MaxValueValidator class GameGenre(models.Model): genre = models.CharField('Genre', max_length=50, unique=True) class Meta: verbose_name...
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<filename>framework/contrib/PythonFMU/pythonfmu/tests/test_variables.py from enum import Enum from random import randint import pytest from pythonfmu import Fmi2Slave from pythonfmu.enums import Fmi2Causality, Fmi2Initial, Fmi2Variability from pythonfmu.variables import Boolean, Integer, Real, ScalarVariable, String ...
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<reponame>Ivancaminal72/mcv-m6-2018-team3 import cv2 import numpy as np from track import track from utils import write_images2 from homography_transformation import * from speedlimit_emojis import speedlimit_emojis, watermark # TODO: Check the thresholds (validate) & put in config file selection = 'highway' if sel...
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<filename>testcase/tools/findleaves.py<gh_stars>1-10 #!/usr/bin/env python # # Copyright (C) 2009 The Android Open Source Project # # 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>liamrahav/TopicBERT-PyTorch<filename>vae_main.py import sys import torch from datasets import Reuters8Dataset, IMDBDataset, Vocabulary, EmbeddingDataset from training.pretrain_vae import pretrain from models import VAEEncoder, Generator2 def run_vae_pretrain(opts): verbose = opts['verbose'] if op...
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<reponame>ck-tm/biserici-inlemnite<gh_stars>0 # Generated by Django 3.1.13 on 2021-08-04 10:05 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('biserici', '0046_auto_20210804_1253'), ] operations = [ migrations.AddField( mode...
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# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import...
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from census import Census from census_tract_race_population import CensusTractRacePopulation import sys from us import states if __name__ == '__main__': if len(sys.argv) == 1: print('Provide your Census API token as an argument when running this script.') sys.exit() api_key = sys.argv[1] i...
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BATCH_SIZE = 100 # Constants describing the training process. MOVING_AVERAGE_DECAY = 0.9999 # The decay to use for the moving average. NUM_EPOCHS_PER_DECAY = 50 # Epochs after which learning rate decays. LEARNING_RATE_DECAY_FACTOR = 0.1 # Learning rate decay factor. INITIAL_LEARNING_RATE = 0.001 # Ini...
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import numpy as np import timeit from collections import defaultdict # 문제 구성 : { # state : {x1, x2, x3, x4, x5, x6} # action : {1, 0} # reward : {1, -1} # if prev_state_fp == 0,1,0,1,0 and currentAction == 0 { # reward : 1000} # } class QLearningAgent: # 상태 변환 확률은 1이므로 생략 def __in...
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import tkinter top = tkinter.Tk() # Code to add widgets will go here top.mainloop()
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<gh_stars>1-10 # -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'MACchangerGUI.ui' # # Created by: PyQt5 UI code generator 5.15.1 # # WARNING: Any manual changes made to this file will be lost when pyuic5 is # run again. Do not edit this file unless you know what you are doing. ...
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#!/usr/bin/env python """ Use an aggregation query to answer the following question. What is the most common city name in our cities collection? Your first attempt probably identified None as the most frequently occurring city name. What that actually means is that there are a number of cities without a name field...
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<reponame>zavolanlab/htsinfer<filename>htsinfer/models.py """Data models.""" from enum import ( Enum, IntEnum, ) import logging import re from typing import Optional # pylint: disable=no-name-in-module,invalid-name from pydantic import BaseModel class CleanupRegimes(Enum): """Enumerator of cleanup regim...
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<filename>core/migrations/0010_wagtailsitepage_screenshot.py # -*- coding: utf-8 -*- # Generated by Django 1.11.7 on 2017-11-21 23:50 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('core', '0009_wagtail112upgrade'), ] operations = [ migrations...
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""" """ import pandas as pd import numpy as np from clintk.cat2vec.feature_selection import LassoSelector from numpy.testing import assert_array_equal values = {'feature1': [0, 0, 1, 1, 0], 'feature2': [0, 1, 1, 0, 1], 'feature3': [1, 0, 0, 0, 0], 'feature4': [1, 0, 0, 0, 1]} coeffic...
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def differentSymbolsNaive(s): diffArray = [] for i in range(len(list(s))): if list(s)[i] not in diffArray: diffArray.append(list(s)[i]) return len(diffArray)
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<gh_stars>10-100 #!/usr/bin/env python3 #****************************************************************************** # (C) 2019, <NAME>, Austria * # * # The Space Python Library is free software; yo...
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from aliyun.log.etl_core import * TRANSFORM_EVENT_lookup = [ ( NO_EMPTY('csv_field'), ('csv_field', CSV("f_v1,f_v2,f_v3")) ), ( NO_EMPTY('dsv_field'), ('dsv_field', CSV("f_d1,f_d2,f_d3", sep='#', quote='|')) ), ( ANY, ([("f1", "c1"), ("f2", "c2")], LOOKUP('./data4_lookup_csv1.txt', ["d1", "d2"]) ) ), ...
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<filename>Tests/func_deriv_check.py #!/usr/bin/env python """\ Test the functional derivatives """ from PyQuante.DFunctionals import xpbe,xs,xb,cvwn,clyp rho = 1.0 gam = 0 d = 1e-5 Funcs = dict(S=xs,B=xb,PBE=xpbe,VWN=cvwn,LYP=clyp) hasg = dict(S=False,B=True,PBE=True,VWN=False,LYP=True) for name in ['S','B','PBE']...
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<filename>Exercise_8.py # Solution of Exercise 8 - Exercise_8.py # # Uploaded by <NAME> on 11/23/20. # Updated by <NAME> on 11/06/21. formatter = "%r %r %r %r" print formatter % (1, 2, 3, 4) print formatter % ("one", "two", "three", "four") print formatter % (True, False, False, True) print formatter % (formatter, f...
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#!/usr/bin/env python """This file is part of the django ERP project. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLD...
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<filename>Projects Cousera/Python For Everybory/random.py def fred(): print("Zap") def jane(): print("ABC") jane() fred() jane() def thing(): print('Hello') print('There') def func(x): print(x) func(10) func(20) def stuff(): print('Hello') return print('World') stuff() def ...
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# 136. Single Number class Solution: # Math def singleNumber(self, nums: list[int]) -> int: # 2 ∗ (a + b + c) − (a + a + b + b + c) = c return 2 * sum(set(nums)) - sum(nums)
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<gh_stars>0 import skimage.io # bug. need to import this before tensorflow import skimage.transform # bug. need to import this before tensorflow from resnet_train import train from resnet import inference import tensorflow as tf import time import os import sys import re import numpy as np from image_processing impo...
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from typing import List import pandas as pd import streamlit as st from pyspark.sql import DataFrame def preview_df(df: DataFrame, n: int = 100): preview_pdf = df.limit(n).toPandas() st.markdown(f'Preview for first {n} rows out of {df.count()} loaded.') st.dataframe(preview_pdf) def highlight_columns(d...
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<reponame>tanimutomo/bag-of-local-features-models import keras from keras.models import load_model __all__ = ['bagnet9', 'bagnet17', 'bagnet33'] model_urls = { 'bagnet9': 'https://bitbucket.org/wielandbrendel/bag-of-feature-pretrained-models/raw/d413271344758455ac086992beb579e256447839/bagnet8.h5', ...
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<reponame>pk-hackerrank/python def print_rangoli(size): alphabets = list('abcdefghijklmnopqrstuvwxyz') size_count = 1 loop_count = 2*size - 1 alphabets_size = len(alphabets) # Print the upper code including the middle for i in range(loop_count,0,-2): str = "-"*(i-1) sub_list = a...
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#!/usr/bin/python3 # -*- coding: utf-8 -*- ## Autor: <NAME> import numpy as np from bubble2 import Bubble2 from bworld import Bworld n = 1000 bubbles = [] bubbles.append(Bubble2(np.random.rand(n, 3) * 10, np.zeros((n, 3)), radius = (np.random.rand(n) / 6), color = (0.5, 0.8, 1.0, 0.8))) testworld = B...
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from __future__ import unicode_literals import codecs from django.conf import settings from rest_framework.compat import six from rest_framework.parsers import BaseParser, ParseError from rest_framework import renderers from rest_framework.settings import api_settings import ujson class UJSONParser(BaseParser): ...
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<gh_stars>0 # -*- coding: utf-8 -*- __doc__ = """ bloombox: CLI color support """ # colorama from colorama import init, Fore, Style init() def green(message): """ Output a green message. """ print Fore.GREEN + message + Fore.RESET + Style.RESET_ALL def red(message): """ Output a red message. """ ...
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<reponame>zhongtianxie/fm-orchestrator # -*- coding: utf-8 -*- # SPDX-License-Identifier: MIT from __future__ import absolute_import import os import tempfile import shutil from textwrap import dedent import kobo.rpmlib import koji import mock import pytest from module_build_service.common.config import conf from mod...
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<reponame>ViditSheth77/Solecthon import cv2 import numpy as np import math path = "http://192.168.43.156:4747/video" cap = cv2.VideoCapture('video.mp4') # Laptop camera pt = [(0,100), (-600,416), (416,100), (1016,416)] LIMIT_CONE = 230+30-30 mid_c = 80-5 # intel camera #pt = [(0,225), (-1500,500), (600,225), (210...
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<gh_stars>0 from syne_tune import read_version from setuptools import setup, find_packages from pathlib import Path def load_requirements(filename): with open(filename) as f: return f.read().splitlines() def load_benchmark_requirements(): # the requirements of benchmarks are placed into the same dir...
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<reponame>anuragpapineni/Hearthbreaker-evolved-agent<gh_stars>0 try: import ctrnn # C++ extension except ImportError: print "CTRNN extension library not found!" raise def create_phenotype(chromo): num_inputs = chromo.sensors num_neurons = len(chromo.node_genes) - num_inputs #num_outputs = chr...
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from collections import OrderedDict import sys import numpy as np import onnx from array import array from pprint import pprint def onnx2darknet(onnxfile): # Load the ONNX model model = onnx.load(onnxfile) # Check that the IR is well formed onnx.checker.check_model(model) # Print a huma...
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import serial class Agilent34970A: def __init__(self): self.timeout = 10 self.baudrate = 4800 self.bytesize = serial.EIGHTBITS self.parity = serial.PARITY_NONE self.stopbits = serial.STOPBITS_ONE xonxoff = True self.s = serial.Serial(port='/dev/ttyUSB3', time...
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import inspect import simplejson as json from pprint import pprint class jsonUtil(object): def __init__(self): pass def dump_json(self, obj, **param): return json.dumps(obj, param) def dict_to_bytes(the_dict): return json.dumps(the_dict).encode() def readJson(self, file)...
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from ..common import * class Generic(object): def __init__(self, arch, descr): self._arch = arch self._descr = descr def generate(self, cpp, routineCache): d = self._descr if not d.add: writeBB = boundingBoxFromLoopRanges(d.result.indices, d.loopRanges) initializeWithZero(cpp,...
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""" 10/26/2017 ACM-ICPC 6818 Reverse Rot Accepted by OJ """ import sys alphabet = [ 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z', '_', '.', ] # lines = open('ACM-ICPC_6818.txt').readlines() # for line in lines: for line in sy...
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<gh_stars>1-10 #!/usr/bin/env python import json import logging import requests from s3vaultlib import __application__ from .base import MetadataBase __author__ = "<NAME>" __copyright__ = "Copyright 2017-2021, <NAME>" __credits__ = ["<NAME>"] __license__ = "BSD" __maintainer__ = "<NAME>" __email__ = "<EMAIL>" __stat...
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<reponame>gbrls/CompetitiveCode # one-line solution for palindrome string # check if a string is the same as its reverse palindrome_check = lambda s: s[::-1] == s #tests print(palindrome_check("racecar")) print(palindrome_check("abba")) print(palindrome_check("palindrome"))
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<reponame>PaulKGrimes/bolo-calc #!/usr/bin/env python import yaml import argparse from bolo import Top def main(): """Hook for setup.py""" parser = argparse.ArgumentParser() parser.add_argument('-i', "--input", default=None, required=True, help="Input configuration file") p...
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<gh_stars>1-10 from django.db import models, transaction from django.utils import timezone from django.core import validators from django.contrib.auth.models import AbstractUser from main.utils.string_utils import generate_noise from main.utils.user_utils import validate_multiuser_csv class User(AbstractUser): "...
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"""Tests of queue.""" import pytest from data_structure.queue.oop_queue import Queue as ArrayQueue from data_structure.queue.two_stacks_queue import Queue as StackQueue from data_structure.exceptions.collection_exeption import CollectionIsEmptyExeption from data_structure.exceptions.error_messages import queue_is_emp...
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#!/usr/bin/python3 """ Best-practices tracker for Tor source code. Go through the various .c files and collect metrics about them. If the metrics violate some of our best practices and they are not found in the optional exceptions file, then log a problem about them. We currently do metrics about file size, function...
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import attr from copy import * from pprint import * from .document import Document from .has_settings import HasSettings from .templated import Templated from exam_gen.util.excel_cols import excel_col from exam_gen.util.with_options import WithOptions import exam_gen.util.logging as logging log = logging.new(__nam...
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from django.conf import settings from django.contrib import admin from django.urls import path app_name = "django_calendardate" urlpatterns = [ path(settings.ADMIN_URL, admin.site.urls), ]
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<filename>plugin/view.py #!/usr/bin/env python import vim from enml import * from utils import * from conn import * # Maps buffer names to NoteTracker objects. openNotes = {} # # Holds all information that needs to be tracked for any note that has been # opened. # class NoteTracker(object): def __init__(self, ...
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<gh_stars>0 from flask import Flask, request, jsonify, render_template, url_for, send_file from full_prediction import get_full_prediction import io app = Flask(__name__) @app.route('/') def index(): return render_template('index.html') @app.route('/predict', methods=['POST']) def test_predict(): if request...
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<gh_stars>0 #!/usr/bin/env python3 # # Copyright (c) 2018-present, Facebook, Inc. # All rights reserved. # # This source code is licensed under the BSD-style license found in the # LICENSE file in the root directory of this source tree. An additional grant # of patent rights can be found in the PATENTS file in the same...
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<filename>__init__.py from piperunner import GEJob, GEArrayJob, GESeriesJob, GEParallelJob
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<gh_stars>10-100 import os import logging from datetime import datetime from pathlib import Path import pytz import pandas as pd from margot.config import settings logger = logging.getLogger(__name__) class DailyMixin(object): @property def stale(self): """Check if we think there might be new data...
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<reponame>KTH/aspen __author__ = '<EMAIL>' import unittest from test import mock_test_data from modules.steps.secret_verification import SecretVerification from modules.util import data_defs, exceptions class TestSecretVerification(unittest.TestCase): def test_has_secrets_env_file(self): pipeline_data = ...
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# -*- coding: utf-8 -*- ########################################################################### # Copyright (c), The AiiDA team. All rights reserved. # # This file is part of the AiiDA code. # # ...
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<reponame>ioannistsanaktsidis/flaskreactredux from flask import Blueprint, jsonify blueprint = Blueprint( 'testapp_api', __name__, url_prefix='/api' ) @blueprint.route('/health', methods=['HEAD', 'GET']) def ping(): """Load balancer ping view.""" return jsonify({"health": "ok"})
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from typing import Iterable from queue import Queue TEST_INPUT = """2199943210 3987894921 9856789892 8767896789 9899965678""".splitlines() def parse_input(puzzle: Iterable[str]) -> dict[tuple[int, int]]: grid = {} for y, row in enumerate(puzzle): for x, char in enumerate(row): grid[x, y]...
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<gh_stars>1-10 class Node: def __init__(self, value): self.value = value self.next = None class Stack: def __init__(self): self.head = Node("head") self.size = 0 def __str__(self): cur = self.head.next out = "" while cur: out += str(cur...
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<reponame>BearerPipelineTest/google-ctf<filename>2020/quals/reversing-sprint/asm.py # Copyright 2020 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/...
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<filename>milkviz/_dot.py from typing import Optional, List, Union, Tuple, Any import matplotlib as mpl import matplotlib.axes import matplotlib.pyplot as plt import numpy as np from milkviz.utils import adaptive_figsize, norm_arr, doc, set_size_legend, set_spines, set_ticks def set_dot_grid(data, ...
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<reponame>nxtbesu/python-oligo import unittest from oligo.exception import SessionException, LoginException, ResponseException class TestResponseException(unittest.TestCase): def test_message(self): login_exception = ResponseException(418) self.assertEqual('Response error, code: 418', login_exce...
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<reponame>akrisanov/python_notebook<gh_stars>1-10 import socket sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) sock.bind(("127.0.0.1", 9000)) # max port is 65535 sock.listen(socket.SOMAXCONN) conn, addr = sock.accept() while True: data = conn.recv(1024) if not data: break print(data.dec...
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<reponame>franklongford/ImageCol """ ColECM: Collagen ExtraCellular Matrix Simulation UTILITIES ROUTINE Created by: <NAME> Created on: 01/11/2015 Last Modified: 12/04/2018 """ from functools import wraps import logging import time from stevedore import ExtensionManager import numpy as np logger = logging.getLogger(...
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#!/usr/bin/python # Copyright 2016 <NAME> # # This module is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This software is distribu...
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#!/usr/bin/env python # encoding: utf-8 from __future__ import absolute_import, unicode_literals import codecs from ..util import u, slugify import os from ..util import ERROR_COLOR, RESET_COLOR class TextExporter(object): """This Exporter can convert entries and journals into text files.""" names = ["text",...
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class Solution: def containsDuplicate(self, nums: List[int]) -> bool: # my solution nums.sort() for i in range(1, len(nums)): if nums[i-1] == nums[i]: return True return False # more concise solution # https://leetcode.com/pr...
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<gh_stars>1-10 from datetime import datetime, date, time from hun_date_parser import datetime2text, text2datetime, text2date, text2time def test_datetime2text(): candidates = datetime2text(datetime(2020, 12, 21)) assert set(candidates) == {'dates', 'times'} assert len([c for c in candidates['dates'] if ...
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from botstory.ast import story_context from botstory.ast.story_context import get_message_attachment from botstory.middlewares import any, location, option, sticker, text from botstory.integrations.commonhttp import errors as http_errors import emoji import datetime import logging from nasabot.geo import animation, til...
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<reponame>MugeraH/Neighbourhood from django.urls import path from django.conf import settings from django.conf.urls.static import static from .views import LandingPageView,HomePageView,NeighbourHoodCreateView,ProfileView,NeigbourhoodDetail,UpdateNeigbourhood,add_business,add_post,update_post,update_business,join_hood,l...
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<reponame>digitalepidemiologylab/text-classification """ Printing helpers ================ """ import os import pandas as pd import logging logger = logging.getLogger(__name__) def print_misclassifications(run, num_samples): f_path = os.path.join(os.getcwd(), 'output', run) if not os.path.isdir(f_path): ...
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import logging from pyspark.sql import SparkSession def run_spark_job(spark): #TODO read format as Kafka and add various configurations df = spark \ .readStream \ .load() # Show schema for the incoming resources for checks df.printSchema() agg_df = df.count() # TODO complete...
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<gh_stars>0 from typing import Dict count = 0 # Part 1 with open("06.in", "r") as file: group_unique = set() for line in file.readlines(): line = line.replace("\n", "") # New group if line == "": count += len(group_unique) group_unique = set() # Read u...
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<reponame>QianLiGui/tfsnippet import numpy as np from tfsnippet.utils import DocInherit from .base import DataFlow __all__ = [ 'DataMapper', 'SlidingWindow' ] @DocInherit class DataMapper(object): """ Base class for all data mappers. A :class:`DataMapper` is a callable object, which maps input arra...
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<reponame>rido-min/azure-iot-cli-extension # coding=utf-8 # -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # ----------...
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<filename>sesion28/tictactoe/core/routing.py from django.conf.urls import url from core.consumer import TicTacToeConsumer websocket_urlpatterns = [ url(r'^ws/play/$', TicTacToeConsumer.as_asgi()) ]
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from random import random class Synapse: def __init__(self, from_neuron, to_neuron): self.from_neuron = from_neuron self.to_neuron = to_neuron self.weight = random()
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<reponame>canyon289/nipymc import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt import pandas as pd import numpy as np import scipy as sp import pymc3 as pm from pymc3 import Deterministic import theano.tensor as T from sklearn.preprocessing import scale as standardize import sys, pickle from random ...
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#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import (division, absolute_import, print_function, unicode_literals) class Calculator(): def power(self, n, p): if n < 0 or p < 0: raise Exception('n and p should be non-negative') else: ...
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<filename>hummingbird/ml/operator_converters/sklearn/label_encoder.py<gh_stars>1-10 # ------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # -...
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#!/usr/bin/env python # # Copyright 2014 cloudysunny14. # # 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...
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<filename>pocao.py<gh_stars>0 from pokemon import * from pessoa import Pessoa class Pocao(Pokemon, Pessoa): def __init__(self, pokemon=None, jcoin=0): self.pokemon = pokemon self.preco = 350 self.jcoin = jcoin def funcao_pocao(self): pass class Curar(Pocao): def funcao_p...
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<filename>lenstools/simulations/nbody.py from __future__ import division from abc import ABCMeta,abstractproperty,abstractmethod from operator import mul from functools import reduce import sys,os from .logs import logplanes,logstderr,peakMemory import logging from .. import extern as ext import numpy as np #ast...
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<reponame>fitushar/3DCNNs_TF2Modelhub from __future__ import print_function from __future__ import absolute_import from __future__ import division import tensorflow as tf ##########---tf bilinear UpSampling3D def up_sampling(input_tensor, scale): net = tf.keras.layers.TimeDistributed(tf.keras.layers.UpSampling2D...
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<reponame>tkg-framework/TKG-framework<filename>tkge/models/model.py import torch from torch import nn from torch.nn import functional as F import numpy as np from enum import Enum import os from collections import defaultdict from typing import Mapping, Dict import random from tkge.common.registry import Registrable...
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from typing import Mapping, Sequence import pandas as pd from multilevel_panels import MultilevelPanel known = [ ('Felis', 'silvestris'), ('Canis', 'lupus'), ('Homo', None), ('Panthera', 'leo'), ('Panthera', 'tigris'), ('Bos', 'taurus'), ('Ovis', None), ] candidate = [ ('Felis', 'si...
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from .models import Order from django import forms class OrderForm(forms.ModelForm): class Meta: model = Order fields = ('description', 'product_type')
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<reponame>deepmind/launchpad # Copyright 2020 DeepMind Technologies Limited. 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/LICENS...
StarcoderdataPython