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3420335
import threading import numpy as np import cv2 from mobot.brain.agent import Agent from mobot.utils.image_grid import ImageGrid from mobot.utils.rate import Rate class BallFollower(Agent): def __init__(self): Agent.__init__(self) self.camera.register_callback(self.camera_cb) self.chassis.e...
StarcoderdataPython
3490597
<reponame>sahilkumar15/ChatBots<gh_stars>100-1000 from rasa_sdk import Tracker from rasa_sdk.executor import CollectingDispatcher from typing import Dict, Text, Any, List import requests from rasa_sdk import Action from rasa_sdk.events import SlotSet, FollowupAction from rasa_sdk.forms import FormAction # We use the...
StarcoderdataPython
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from typing import Dict, Union, Set from unittest import TestCase from networkx import DiGraph from veniq.baselines.semi._common_types import Statement, StatementSemantic from veniq.baselines.semi._lcom2 import LCOM2 from veniq.ast_framework import ASTNode class LCOM2TestCase(TestCase): def test_same_semantic(...
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<reponame>pylangstudy/201706 while True: try: x = int(input("Please enter a number: ")) break except KeyboardInterrupt: print("KeyboardInterrupt!!") except ValueError: print("Oops! That was no valid number. Try again")
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4926483
<reponame>M1kol4j/helita """ Set of routines to interface with MULTI (1D or _3D) """ import numpy as np import os class Multi_3dOut: def __init__(self, outfile=None, basedir='.', atmosid='', length=4, verbose=False, readall=False): """ Class that reads and deals with output from multi_3d ...
StarcoderdataPython
6551119
"""\ wxCheckBox widget configuration @copyright: 2014-2016 <NAME> @license: MIT (see LICENSE.txt) - THIS PROGRAM COMES WITH NO WARRANTY """ config = { 'wxklass': 'wxCheckBox', 'style_defs': { 'wxCHK_2STATE': { 'desc': _('Create a 2-state checkbox. This is the default.'), 'exclu...
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from django.db import models # local imports from authors.apps.authentication.models import User from authors.apps.articles.models import Article class BookmarkArticle(models.Model): """ Create the bookmark model """ user = models.ForeignKey(User, verbose_name='User', on_delete=models.CASCADE) ar...
StarcoderdataPython
5051001
<filename>ethfinex/__init__.py name = "ethfniex"
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6485117
<reponame>judaicalink/judaicalink-labs from django.contrib import admin from django.contrib.admin import AdminSite import django.db.models as django_models from . import views from . import models # Register your models here. class MyAdminSite(AdminSite): site_header = 'JudaicaLink Labs Backend' def get_urls...
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# -*- coding: utf-8 -*- """ tkfilebrowser - Alternative to filedialog for Tkinter Copyright 2017 <NAME> <<EMAIL>> based on code by <NAME> copyright 1998 <http://effbot.org/zone/tkinter-autoscrollbar.htm> tkfilebrowser is free software: you can redistribute it and/or modify it under the terms of the GNU General Public ...
StarcoderdataPython
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<gh_stars>100-1000 import autosar def setup(): ws = autosar.workspace(version="4.2.2") package=ws.createPackage('ApplicationTypes', role='DataType') package.createSubPackage('DataConstrs', role='DataConstraint') package.createSubPackage('CompuMethods', role='CompuMethod') package.createSubPa...
StarcoderdataPython
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<gh_stars>1-10 from pydantic import create_model, validator def create_model_for_table(tablename, cols): def validate_length(cls, v, values, **kwargs): col_value = v col_length = lengths[kwargs["field"].name] assert col_length >= len(f"{col_value}") return col_value lengths = ...
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from secml.testing import CUnitTest from numpy import * from secml.data.loader import CDLRandomBlobs from secml.optim.constraints import \ CConstraintBox, CConstraintL1, CConstraintL2 from secml.ml.features.normalization import CNormalizerMinMax from secml.ml.classifiers import CClassifierSVM, CClassifierDecision...
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<gh_stars>0 import sys import pytest from natural import N from uintset import UintSet def test_len(): assert len(N) == sys.maxsize def test_contains(): assert 0 in N assert 1 in N assert -1 not in N assert 42 in N assert sys.maxsize in N union_cases = [ (N, UintSet()), (...
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#! /usr/bin/env python """ Produces classifications of MNIST so we have something to develop calibration tools against. The classifications are saved as a pandas dataframe. Usage: $ ./gen_data.py --jobs 60 --output results.pkl """ import argparse import multiprocessing import time import numpy as np import panda...
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import collections.abc import inspect import re import typing import wsgiref.simple_server import webob import webob.exc from . import mappers def generate_sitemap(sitemap: typing.Mapping, prefix: list=None): """Create a sitemap template from the given sitemap. The `sitemap` should be a mapping where the k...
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# -*- coding: utf-8 -*- import sys import requests import time ''' Usage: moon.py -u tomcat http://127.0.0.1:8080 shell: http://127.0.0.1:8080/201712615.jsp?pwd=<PASSWORD>&cmd=whoami 影响范围:Linux/Windows Tomcat: 7.0.0 to 7.0.79 - 官网数据 成因:Tomcat配置了可写(readonly=false),导致我们可以往服务器写文件 最好的解决方式是将 conf/web....
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import json import numpy as np import pandas as pd import pickle from sklearn import ensemble from sklearn import datasets from sklearn.utils import shuffle from sklearn.metrics import mean_squared_error from mlserve import build_schema boston = datasets.load_boston() X, y = shuffle(boston.data, boston.target, random_...
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# # Create 2015 tazdata map from UrbanSim input layer(s) using building data and pipeline data # Reads # 1) UrbanSim basemap h5 (URBANSIM_BASEMAP_FILE), parcels and buildings # 2) Development pipeline csv (URBANSIM_BASEMAP_FILE) # 3) Employment taz data csv (EMPLOYMENT_FILE) # # Outputs # # Notes: # - zone_id and ...
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import numpy as np from scipy import stats import matplotlib matplotlib.use('tkagg') import matplotlib.pyplot as plt import matplotlib.colors as colors from scipy.stats import kde def print_stats(labels_test, labels_predict): '''' Calculate the following statistics from machine learning tests. RMSE, Bias,...
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import numpy as np import pandas as pd import os, sys from data.load_data import f from Representation.dkt import DKT from Representation.problem2vec import P2V from Qmatrix.qmatrix import Qmatrix from AFM.load_data import load_data from DAFM.load_data import DAFM_data import pdb class afm_data_generator():...
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<reponame>Zac-HD/datacube-core<gh_stars>1-10 from __future__ import absolute_import from .driver_cache import load_drivers class IndexDriverCache(object): def __init__(self, group): self._drivers = load_drivers(group) if len(self._drivers) == 0: from datacube.index.index import index...
StarcoderdataPython
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<reponame>watchdogoblivion/watchdogs-offsec<gh_stars>0 # author: WatchDogOblivion # description: TODO # WatchDogs Request Parser Service import re from collections import OrderedDict from watchdogs.io.parsers import FileArgs from watchdogs.base.models import AllArgs, Common from watchdogs.utils.StringUtility import S...
StarcoderdataPython
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<gh_stars>100-1000 import cv2 import torch import random import numpy as np from .baseline.Renderer.model import FCN from .baseline.DRL.evaluator import Evaluator from .baseline.utils.util import * from .baseline.DRL.ddpg import DDPG from .baseline.DRL.multi import fastenv from ...util.model import BenchmarkModel from...
StarcoderdataPython
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<reponame>lcn-kul/conferencing-speech-2022<filename>src/data/extract_features/extract_features.py import csv import librosa import numpy as np from pathlib import Path import soundfile as sf import torch from torchaudio.transforms import ComputeDeltas, MFCC from transformers import Wav2Vec2FeatureExtractor, Wav2Vec2Mod...
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from django.contrib import admin from .models import StudentDataDropout # Register your models here. admin.site.register(StudentDataDropout)
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<gh_stars>0 """Tests for filewriter.py """
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<filename>eb_deployer/eb_deployer.py #!/usr/bin/env python # -*- coding: utf-8 -*- # This is the eb deploy application for manheim hello world app from progress.spinner import Spinner from subprocess import Popen, PIPE import boto3 import os import os.path import time client = boto3.client('elasticbeanstalk') curre...
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<filename>tripled/stack/node.py __author__ = 'baohua' from subprocess import PIPE, Popen from tripled.common.constants import NODE_ROLES class Node(object): """ An instance of the server in the stack. """ def __init__(self, ip, role): self.ip = ip self.role = NODE_ROLES.get(role, NO...
StarcoderdataPython
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from django.shortcuts import render from django.shortcuts import render, redirect from services.models import Service from rest_framework.views import APIView from django.http import JsonResponse # Create your views here. class AllServicesAPI(APIView): def get(self, request, *args, **kwargs): services ...
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<filename>src/service_framework/connections/__init__.py """ Something whitty """
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import string class StringSplitter: def __init__(self, text): self.string = text.lower() self.string_list = [] self.bad = set() for punct in string.punctuation: if punct != "'" or punct != "-": self.bad.add(punct) for num in '123456789...
StarcoderdataPython
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<reponame>banerjeesujan/leetcode<filename>Interviewbit/MyMath/IB_Math_FizzBuzz.py<gh_stars>0 import time class Solution: # @param A : integer # @return a list of strings Fizz Buzz FizzBuzz def fizzBuzz(self, A): retArray = list() for i in range(1, A + 1): if i % 3 == 0 and i %...
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<reponame>semodi/champs-scalar-coupling<gh_stars>0 import schnetpack as spk from schnetpack.data import Structure import torch from torch import nn import numpy as np import schnetpack class EdgeUpdate(nn.Module): def __init__(self, n_atom_basis, n_spatial_basis): super(EdgeUpdate, self).__init__() ...
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from typing import Optional import histomicstk as htk import numpy as np import scipy as sp import skimage.color import skimage.io import skimage.measure from anndata import AnnData from scipy import ndimage as ndi from skimage.feature import peak_local_max from skimage.segmentation import watershed from tqdm import tq...
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import torch import torch.nn.functional as F from ..models.mingpt import GPT, CGPT, NoiseInjection from tools.utils import to_cuda from models import load_network, save_network, print_network from tqdm import tqdm from ..modules.vmf import nll_vMF class Transformer(torch.nn.Module): def __init__(self, o...
StarcoderdataPython
5140489
<reponame>TitanEntertainmentGroup/django-filemaker # -*- coding: utf-8 -*- from __future__ import unicode_literals from django.core.exceptions import ValidationError __all__ = ['FileMakerError', 'FileMakerValidationError', 'FileMakerObjectDoesNotExist', 'FileMakerConnectionError', 'FileMakerSer...
StarcoderdataPython
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<gh_stars>1-10 import typing from TorchTSA.simulate.GARCHSim import GARCHSim class ARCHSim(GARCHSim): def __init__( self, _alpha_arr: typing.Union[float, typing.Sequence[float]], _const: float, _mu: float = 0.0, ): if isinstance(_alpha_arr, float) or isinstance(_a...
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<filename>test_run_generated.py<gh_stars>10-100 from fable_sedlex.sedlex import from_ustring, lexbuf from generated import lex, lexall, Token buf = from_ustring(r'123 2345 + += 2.34E5 "sada\"sa" ') tokens = [] EOF_ID = 0 def is_eof(x: Token): return x.token_id == 0 print() print(list(lexall(buf, Token, is_eof...
StarcoderdataPython
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<filename>lifesaver/commands/core.py # encoding: utf-8 __all__ = ["SubcommandInvocationRequired", "Command", "Group", "command", "group"] from discord.ext import commands class SubcommandInvocationRequired(commands.CommandError): """A :class:`discord.ext.commands.CommandError` that is subclass raised when a sub...
StarcoderdataPython
3212381
from enum import Enum THUMBS_UP = '+' # in case you go f-string ... class Score(Enum): BEGINNER = 2 INTERMEDIATE = 3 ADVANCED = 4 CHEATED = 1 def __str__(self): return f'{self.name} => {THUMBS_UP * self.value}' @classmethod def average(cls): return sum([sc...
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<reponame>boladmin/security_monkey """ .. module: security_monkey.jirasync :platform: Unix :synopsis: Creates and updates JIRA tickets based on current issues .. version:: $$VERSION$$ .. moduleauthor:: <NAME> <<EMAIL>> """ import datetime import re import time import urllib.request, urllib.parse, urllib.error...
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<gh_stars>0 from pydantic import BaseSettings class Settings(BaseSettings): app_name: str = "default" admin_email: str token: str database_url: str class Config: import os is_prod = os.environ.get('IS_HEROKU', None) if is_prod is None: env_file = ".env"
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<reponame>hroncok/rst2txt<gh_stars>1-10 # -*- coding: utf-8 -*- from setuptools import setup setup( entry_points={ 'console_scripts': [ 'rst2txt = rst2txt:main', ], }, use_scm_version=True, )
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import gws import gws.types as t class ElementConfig(gws.WithAccess): """GWS client UI element configuration""" tag: str #: element tag before: str = '' #: insert before this tag after: str = '' #: insert after this tag class Config(gws.WithAccess): """GWS client configuration""" option...
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<gh_stars>100-1000 from ..utils.registry import Registry DATASET_REGISTRY = Registry("dataset") def build_dataset(cfg): """ Build the module with cfg. Args: cfg (dict): the config of the modules Returns: The built module. """ args = cfg name = args.get("name") datase...
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"""Bisection algorithms.""" def insort(a, x, lo=0, hi=None): """Insert item x in list a, and keep it sorted assuming a is sorted.""" if hi is None: hi = len(a) while lo < hi: mid = (lo+hi)/2 if x < a[mid]: hi = mid else: lo = mid+1 a.insert(lo, x) def bisect(a, x, lo=...
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<filename>src/make_video.py # run as: python make_video.py import numpy as np import os import matplotlib.pyplot as plt fiber = 0 model = 0 ve_path = os.path.join('..', 've_files', f'model{model}_fiber{fiber}.dat') print('ve_path: {}'.format(ve_path)) ve = -1*np.loadtxt(ve_path, skiprows=1) coords_path = os.path.jo...
StarcoderdataPython
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from __future__ import print_function # -*- coding: utf-8 -*- """ Created on Tue Mar 10 13:18:46 2015 @author: nadiablago """ from matplotlib import pylab as plt import glob from astropy.io import fits as pf import os, sys from optparse import OptionParser import matplotlib import numpy as np from astropy.wcs import...
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# -*- coding: utf-8 -*- import pydash as _ from config import settings from . import redis_2_elasticsearch, kafka_2_elasticsearch class Queue2ElasticsearchClient(object): @property def client(self): return self.__client def __init__(self, mode=None): self.__switch = { 'redi...
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from decimal import Decimal import math import numpy as np import pandas as pd import unittest from hummingbot.strategy.__utils__.trailing_indicators.trading_intensity import TradingIntensityIndicator class TradingIntensityTest(unittest.TestCase): INITIAL_RANDOM_SEED = 3141592653 BUFFER_LENGTH = 200 def ...
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<reponame>jsonchin/nba_dfs_dashboard from .player import player_profile_endpoint, player_logs_endpoint, player_averages_endpoint from .game import game_endpoint, game_team_specific_endpoint from .game_date_games import game_date_games_endpoint from .file_upload import file_upload_draftkings from .lineups import lineups...
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<gh_stars>100-1000 #!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import unicode_literals """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 PART...
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11274481
from pymoo.algorithms.nsga2 import RankAndCrowdingSurvival from pymoo.algorithms.so_de import DE from pymoo.docs import parse_doc_string from pymoo.model.population import Population from pymoo.util.display import MultiObjectiveDisplay from pymoo.util.dominator import get_relation class GDE3(DE): def __init__(se...
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#!/usr/bin/python # -*- coding: utf-8 -*- from bs4 import BeautifulSoup import requests import json from time import time import datetime from loremipsum import * import random import math import os from .. import firebase_pushid __location__ = os.path.realpath( os.path.join(os.getcwd(), os.path.dirname(__file__)...
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<gh_stars>0 # Copyright (C) 2016 <NAME> # 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/LICENSE-2.0 # # Unless req...
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#!/usr/bin/python # -*- coding: utf-8 -*- # Copyright: (c) 2020, Ansible Project # GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt) from __future__ import absolute_import, division, print_function __metaclass__ = type DOCUMENTATION = r''' --- module: helm_info short_descrip...
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<reponame>meghanaravikumar/sigopt-examples from distilbert_data_model_loaders.load_transfomer_model import LoadModel import logging class LoadPretrainedModel(LoadModel): def __init__(self, model_type, model_name_or_path, cache_dir): super().__init__(model_type) self.model_name_or_path = model_nam...
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<gh_stars>0 #!/usr/bin/env python """Example of a basic tractor behavior. This module demonstrates an example behavior written in python to be compatible with the state controller. The behavior publishes any command received on /ex_topic directly to the corresponding topic /state_controller/cmd_behavior. authored by ...
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<reponame>Cheaterman/PySAMP<gh_stars>10-100 import random from samp import * from glspawns import * from funcs import * from vars import * from player import * ################################ """ Hello dear user! Welcome to the Python version of the original Grand Larceny gamemode! We wanted to convert this classic ...
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#!/usr/bin/env python import httplib connection = httplib.HTTPSConnection("www.google.com", 443) connection.request("GET", "/") response = connection.getresponse() print response.status data = response.read() print data
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<reponame>SectorLabs/django-localized-fields from datetime import datetime from django.core.exceptions import ImproperlyConfigured from django.utils.text import slugify from ..mixins import AtomicSlugRetryMixin from ..util import get_language_codes from ..value import LocalizedValue from .autoslug_field import Locali...
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import catboost from catboost import CatBoostClassifier from xgboost import XGBClassifier import gc from sklearn.linear_model import LogisticRegression from sklearn import preprocessing import pandas as pd import numpy as np #add #stopping dev due to xgboost issues df_train_data = pd.read_csv('data\\full_train.csv',n...
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<reponame>lleej/python #!/usr/bin/env python3 # -*- coding: utf-8 -*- '枚举类的练习' __author__ = 'Jacklee' # 导入模块 #import types # 月份常量 JAN = 1 FEB = 2 MAR = 3 # 枚举类 from enum import Enum, unique ## 第一种定义方式 @unique class Month(Enum): JAN = 0 FEB = 1 MAR = 2 ## 第二种定义方式 WeekDay = Enum('WeekDay', ('Mon', 'Tue', 'Wed',...
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# Generated by Django 3.1.3 on 2021-01-11 22:42 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('hackathon', '0024_auto_20201103_2114'), ] operations = [ migrations.AlterModelOptions( name='hackteam', options={'ve...
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<reponame>TheInitializer/evolution_simulator<gh_stars>1-10 from pyglet.sprite import Sprite import pyglet from dna_parser import parse_dna, distance import dna_parser import random from config import window_width, window_height import food import mutation creatures = [] class Creature(Sprite): signal = 0 att...
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<gh_stars>0 n=sum(list(map(int,input().split()))) if n%5 or n==0: print(-1) else: print(n//5)
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import pytest from discord.ext.test import message, verify_message, verify_embed, verify_file pytestmark = pytest.mark.usefixtures("testlos_m") async def test_aesthetic(): await message("^aesthetic Sphinx of black quartz, judge my vow") verify_message("Sphinx of black quartz, judge my vow") async def te...
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from typing import Dict, List from numpy import ndarray, zeros import plotly.graph_objects as go from bayesian_mmm.spend_transformation.spend_transformation import ( compute_hill, compute_reach ) class DiminushingReturnsVisualizor: def __init__(self, param_nm_to_val: Dict, media_nms: List[str]) -> None: ...
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<filename>ProjectInfo/tools/FeaturesToPoint.py '''------------------------------------------------------------------------------- Tool Name: FeaturesToPoint Source Name: FeaturesToPoint.py Version: ArcGIS 10.1 License: Apache 2.0 Author: <NAME> Updated by: <NAME> Description: Description: Create...
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<filename>img_upload/config.py import os S3_BUCKET = "" S3_KEY = "" S3_SECRET = "" S3_LOCATION = 'http://{}.s3.amazonaws.com/'.format(S3_BUCKET) DEBUG = True PORT = 5000
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<reponame>alvarosanz/loadit import wx import os from loadit.misc import humansize from loadit.gui.table_info_dialog import TableInfoDialog class DatabaseInfoDialog(wx.Dialog): def __init__(self, parent, database, active_tab=0): super().__init__(parent) self.database = database self.SetTit...
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<gh_stars>0 from card import Card class Player: name : str card : Card def __init__(self, name, card): self.name = name self.card = card
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<reponame>ec1340/ReLSO-Guided-Generative-Protein-Design-using-Regularized-Transformers<filename>relso/optim/optim_algs.py """ Optimization algorithms """ import numpy as np import numpy.ma as ma import numpy.linalg as LA import copy from tqdm import tqdm from scipy.spatial import distance from sklearn.neighbors i...
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<gh_stars>1-10 # coding: utf-8 from pycocotools.coco import COCO import argparse import numpy as np import skimage.io as io import matplotlib.pyplot as plt import pylab import os, os.path import pickle from tqdm import tqdm parser = argparse.ArgumentParser(description="Preprocess COCO Labels.") #dataDir='/share/data...
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<filename>st2tests/st2tests/fixturesloader.py # Licensed to the StackStorm, Inc ('StackStorm') under one or more # contributor license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright ownership. # The ASF licenses this file to You under the Apache License, Ver...
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<gh_stars>1-10 from pathlib import PosixPath import botocore from ..util.log import Log, log_call from .client import with_client _log = Log('s3.api') @with_client @log_call('s3.api', 'Making api call `{func}` {kwargs}') def ls(client, bucket = None): if bucket is None: _log.debug("Bucket not provided, listing u...
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import json import re from datetime import datetime # Read my timeline with open('myTimeline.json', 'r', encoding='utf-8') as f: timeline = json.loads(f.read()) # Read stock JSON data with open('../LS/isins.json', 'r', encoding='utf-8') as f: lsIsins = json.loads(f.read()) # All stocks crawled from TR with o...
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<reponame>bcherry/bcherry def deposit(amt): f = open('data') bal = int(f.readline()) f.close() f = open('data','w')
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""" PostgreSQL accounts and databases for members and societies. """ from functools import wraps from typing import Optional, List, Set, Tuple, Union from psycopg2.extensions import connection as Connection, cursor as Cursor from srcf.database import Member, Society from srcf.database.queries import get_member, get_...
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#https://www.kaggle.com/kyakovlev/ieee-simple-lgbm # General imports import numpy as np import pandas as pd import os, sys, gc, warnings, random, datetime import time import pickle from sklearn import metrics from sklearn.model_selection import train_test_split, KFold from sklearn.preprocessing import LabelEncoder fro...
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<filename>PIP/Minor Assignment 7/a7q2.py def cumulative(lst): c_lst=[ ] length=len(lst) c_lst=[ sum(lst[0:x:1]) for x in range(0, length +1)] return c_lst[1:] lst=[1,2,3,4,5] print(cumulative(lst))
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<gh_stars>10-100 #-*- coding: utf-8 -*- import random,io import matplotlib.pyplot as plt import numpy as np from .public import * 图表颜色 = [ '#F0F8FF', '#FAEBD7', '#00FFFF', '#7FFFD4', '#F0FFFF', '#F5F5DC', '#FFE4C4', '#FFEBCD', '#8A2BE2', '#A52A2A', '#DEB887', '#5F9EA0', '#7FFF00', '#D2691E', '#FF7F50', '#6495...
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import numpy as np class Image: ''' Class to hold image data Attributes ----------- img: np.ndarray numpy ndarray containing the image as grayscale float values, should be normalized to [0, 1.0] timestamp: astropy.time.Time Time when the image was taken timestamp: ...
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from .compressor import * from .pop import *
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<reponame>Schwarzbaer/behavior_machine from behavior_machine.library import WaitState, IdleState import pytest from behavior_machine.board import Board from behavior_machine.core import State, StateStatus, Machine class SetState(State): _val: str _key: str def __init__(self, name, key, val): su...
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import argparse import collections import json import logging from pathlib import Path, PurePath from utils.log import setup_logging def main(): with open(__file__, 'r') as f: _source = f.read() # Use first line of file docstring as description if it exists. parser = argparse.ArgumentParser( ...
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# -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'loginPage.ui' # # Created by: PyQt5 UI code generator 5.15.6 # # 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. from PyQt5 import ...
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"""Merge Stardist Masks."""
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#!/usr/bin/env python __author__ = "<NAME>" __copyright__ = "Copyright 2021, The MUDCake Project" __credits__ = "<NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>" __license__ = """MIT License Copyright (c) 2021 MUDCake Project Permission is hereby granted, free of charge, to a...
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import hashlib import os try: import cart from utils import random_id_from_collection except ImportError: import pytest import sys if sys.version_info < (3, 0): pytestmark = pytest.mark.skip else: raise def test_children(datastore, client): submission_id = random_id_from_c...
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<filename>class1/p34_GradientTape.py import tensorflow as tf with tf.GradientTape() as tape: x = tf.Variable(tf.constant(3.0)) y = tf.pow(x, 2) grad = tape.gradient(y, x) print(grad)
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<filename>fraud_networks/tests/test_dispersion_trees.py from fraud_networks import DispersionTree, DispersionEdges #from utilities.dispersion_trees import DispersionTree, DispersionEdges from fraud_networks.utilities import test_data import networkx as nx def test_DispersionEdges(): disp_edges = DispersionEdges(t...
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""" :Copyright: 2006-2021 <NAME> :License: Revised BSD (see `LICENSE` file for details) """ from unittest.mock import patch import pytest from pytest import raises from byceps.events.ticketing import TicketsSold from byceps.services.shop.order import action_service, action_registry_service from byceps.services.shop....
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import csv import numpy as np from typing import Dict, List from PyQt5.QtGui import QImage, QColor import src.core.config as config def parse(path: str, num_classes: int) -> Dict[int, List[np.ndarray]]: with open(path, newline='\n') as csv_file: data_set = prepare_data_set_dict(num_classes) data_...
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import unittest import os import tempfile from filecmp import cmp from subprocess import call import sys import py_compile #python -m unittest tests/test_coverage_filter.py class CoverageFilterTests(unittest.TestCase): @classmethod def setUpClass(cls): #locate the bin and test_data directories ...
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# from __future__ import absolute_import, division, print_function, unicode_literals import tensorflow as tf from tensorflow import keras from time import strftime from corl.model.tf2.common import DelayedCosineDecayRestarts class GlobalStepMarker(keras.layers.Layer): ''' Record global steps. ''' ...
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<reponame>gafusion/omas '''pypi setup file ------- ''' # -------------------------------------------- # external imports # -------------------------------------------- import os import sys with open(os.path.abspath(str(os.path.dirname(__file__)) + os.sep + 'version'), 'r') as _f: __version__ = _f.read().strip() ...
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from keras.models import Sequential, Model from keras.layers import Dense, Dropout, Flatten, Activation, MaxPooling2D, Conv2D from keras import optimizers from keras import regularizers from keras import applications def model(img_size, num_class): model = Sequential() model.add(Conv2D(32, (3, 3), input_shape...
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"""The tests for the notify.persistent_notification service.""" from homeassistant.components import notify import homeassistant.components.persistent_notification as pn from homeassistant.core import HomeAssistant from homeassistant.setup import async_setup_component async def test_async_send_message(hass: HomeAssis...
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