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3257051
<gh_stars>1000+ from anchore_engine.subsys import logger logger.enable_test_logging() def test_sync_fail(test_data_env, run_legacy_sync_for_feeds): # No such feed result = run_legacy_sync_for_feeds(["nvd"]) assert len(result) == 0 result = run_legacy_sync_for_feeds(["vulnerabilities", "packages", "n...
StarcoderdataPython
3211631
#!/usr/bin/env python # -*- coding: utf-8 -*- """ implement random proxy / random user agent Copyright (C) <NAME> 2018-2019 Copyright (C) Allen (<NAME>) Xie 2019 stocksight is released under the Apache 2.0 license. See LICENSE for the full license text. """ #https://github.com/hellysmile/fake-useragent implement r...
StarcoderdataPython
3243115
<reponame>MotiMatika/self-py def M_1(): items=input("please type what do you want to buy: ") splittedItems=items.split(',') print("your items are : ",splittedItems) M_1()
StarcoderdataPython
3233791
import copy import warnings from collections import OrderedDict import pytest from tri_struct import Struct from tri_declarative import ( EMPTY, LAST, Namespace, Refinable, RefinableObject, Shortcut, assert_kwargs_empty, class_shortcut, dispatch, flatten, full_function_name...
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1762045
<filename>src/onegov/election_day/views/election/statistics.py from onegov.ballot import Election from onegov.core.security import Public from onegov.election_day import ElectionDayApp from onegov.election_day.layouts import ElectionLayout @ElectionDayApp.html( model=Election, name='statistics', template=...
StarcoderdataPython
4817418
from copy import deepcopy from datetime import datetime import click import numpy as np import pandas as pd pd.options.mode.chained_assignment = None DEFAULT_ANDROMONEY_FILENAME = "AndroMoney - AndroMoney.csv" DEFAULT_MOZE_FILENAME = "MOZE.csv" MOZE_HEADER = [ # Required "帳戶", "幣別", # Required ...
StarcoderdataPython
1657891
<reponame>kevinychen/nikoli-puzzle-solver from solvers.utils import * class MinesweeperSolver(AbstractSolver): def __init__(self, pzprv3): matched = match('pzprv3/mines/(\\d+)/(\\d+)/(.*)/', pzprv3) self.height = int(matched.group(1)) self.width = int(matched.group(2)) self.grid =...
StarcoderdataPython
92448
<reponame>shawnduong/manimations def functionName(p_1, p_2, p_3, ..., p_n): Instructions... return o_1, o_2, o_3, ..., o_m v_1, v_2, v_3, ..., v_m = functionName(i_1, i_2, i_3, i_n)
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<gh_stars>10-100 import torch import torch.nn as nn import torchvision def Conv1(in_planes, places, stride=2): return nn.Sequential( nn.Conv2d(in_channels=in_planes,out_channels=places,kernel_size=7,stride=stride,padding=3, bias=False), nn.BatchNorm2d(places), nn.ReLU(inplace=True), ...
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import os, sys class Object: ## @name constructor def __init__(self, V): self.value = V self.nest = [] def box(self, that): if isinstance(that, Object): return that if isinstance(that, str): return S(that) raise TypeError(['box', type(that), that]) ## @name d...
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<reponame>trodge/declarative-resource-client-library # Copyright 2021 Google LLC. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses...
StarcoderdataPython
91073
#!/usr/bin/env python # coding: utf-8 # # Import Base Packages # In[ ]: import pandas as pd import numpy as np import warnings warnings.filterwarnings('ignore') # # Interface function to feature engineering data # In[ ]: from sklearn.preprocessing import LabelEncoder from sklearn.preprocessing import Standard...
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<gh_stars>0 ''' Given a string containing digits from 2-9 inclusive, return all possible letter combinations that the number could represent. Return the answer in any order. A mapping of digit to letters (just like on the telephone buttons) is given below. Note that 1 does not map to any letters. ''' class Solution:...
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nome = str(input('Digite um nome: ')).strip() print('Maiúsculas:', nome.upper()) print('Minúsculas:', nome.lower()) dividido = nome.split() print('A quantidade de letras ao todo é:', len(nome) - nome.count(' ')) print('A quantidade de letras do primeiro nome é: ', len(dividido[0]))
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# proxy module from __future__ import absolute_import from codetools.execution.demo.expression_context_demo import *
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#!/usr/bin/env python3 import collections from collections import namedtuple from datetime import datetime import os import re import sys from pathlib import Path import jinja2 VersionRange = namedtuple('VersionRange', 'min max') class SupportPackage(object): def __init__(self, module_version, ...
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<filename>rllib/policy/q_function_policy/epsilon_greedy.py """Epsilon Greedy Policy.""" import torch from rllib.util.neural_networks import get_batch_size from .abstract_q_function_policy import AbstractQFunctionPolicy class EpsGreedy(AbstractQFunctionPolicy): """Implementation of Epsilon Greedy Policy. A...
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<reponame>makelove/OpenCV-Python-Tutorial<filename>ch23-图像变换/23.1.4 为什么拉普拉斯算子是高通滤波器.py # -*- coding: utf-8 -*- # @Time : 2017/7/13 上午11:18 # @Author : play4fun # @File : 23.1.4 为什么拉普拉斯算子是高通滤波器.py # @Software: PyCharm """ 23.1.4 为什么拉普拉斯算子是高通滤波器.py: 从图像中我们就可以看出每一个算子允 些信号。从 些信息中我 们就可以知 些是 HPF 是 LPF """ impor...
StarcoderdataPython
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<reponame>ariahahn/MetaPathways_Python.3.0 #!/usr/bin/python -w import socket, re, sys from os import _exit import re from libs.python_modules.utils.sysutil import getstatusoutput from multiprocessing import Process import time class PythonCyc: _organism = 'meta' soc = None def...
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<filename>config/common/sim/ode_solver.py<gh_stars>1000+ # Copyright 2020 Makani Technologies LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICEN...
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<reponame>arthtyagi/gettit from django.db import models from django.urls import reverse from django.contrib.auth.models import User class Todo(models.Model): title = models.CharField(max_length=30) user = models.ForeignKey(User, on_delete=models.CASCADE) content= models.CharField(max_length=450,blank=True) created...
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import requests from bs4 import BeautifulSoup import fnmatch def get_wsa_entry(): """Returns a tuple containing the Windows Subsystem for Android link and its file name (used to check for updates) """ store_id = "9p3395vx91nr" api_url = "https://store.rg-adguard.net/api/GetFiles" data = { ...
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3344904
import torch import torch.nn as nn from torch.nn import Conv3d, ConvTranspose3d, BatchNorm3d, MaxPool3d, AvgPool1d, Dropout3d from torch.nn import ReLU, Sigmoid ############# # UTILS # ############# def print_model(model): """ Print model and parameters per layer to debug. @param model: torch.model ...
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#!/usr/bin/env python # -*- coding: utf-8 -*- import json from alipay.aop.api.constant.ParamConstants import * class EntityBasicInfo(object): def __init__(self): self._address_desc = None self._category_code = None self._city = None self._contact_number = None self._entit...
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<reponame>jdschleicher/CumulusCI import json import unittest from unittest import mock import responses import yaml from tempfile import TemporaryDirectory from pathlib import Path import pytest from cumulusci.tasks.bulkdata import GenerateMapping from cumulusci.core.exceptions import TaskOptionsError from cumulusci....
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# Enter your code here. Read input from STDIN. Print output to STDOUT from typing import List from itertools import product def sum_of_square_mod_m( nums:tuple, mod_m ): return ( sum( map( lambda x: x**2, nums) ) % mod_m ) def maximize_function_value( list_of_list:List , mod_m): count_of_list = len( list_...
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34734
from django.urls import path, include from .views import CompanyAPIView # urlpatterns = [ # path("",include(router.urls)), # ]
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3381431
import json import logging import ntpath import os import random import re import string import traceback from io import StringIO from urllib.parse import urljoin from django import template from django.conf import settings from django.contrib.auth import get_user_model from django.core.cache import cache from django....
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""" Copyright (c) 2021, salesforce.com, inc. All rights reserved. SPDX-License-Identifier: BSD-3-Clause For full license text, see the LICENSE file in the repo root or https://opensource.org/licenses/BSD-3-Clause """ from argparse import Namespace import logging import torch import json import numpy import math from...
StarcoderdataPython
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# -*- coding: utf-8 -*- """ Created on Thu Oct 01 16:19:44 2015 @author: <NAME> """ import os.path import sys, StringIO import antimony import roadrunner import tellurium as te import zipfile import tempfile import re try: import phrasedml except ImportError as e: roadrunner.Logger.log(roadrunner.Logger.LOG_W...
StarcoderdataPython
4834149
from mako.template import Template import os import importlib.resources as resources def genRobotCode(projectType, config): if projectType == "Simple": with resources.path(__name__, "templates") as path: with open(os.path.join(path, "Simple", "Robot.java.mako"), "r") as template: ...
StarcoderdataPython
1671686
import os from openpyxl import load_workbook, Workbook from openpyxl.styles import Font # mapping from index to letter letters = [ "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" ] # needed information about excel workbook...
StarcoderdataPython
792
<filename>tensorflow/contrib/data/python/kernel_tests/optimization/map_and_filter_fusion_test.py # Copyright 2018 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of...
StarcoderdataPython
3254969
#!/usr/bin/env python from kubernetes.client.rest import ApiException from kubernetes import client, config # Configs can be set in Configuration class directly or using helper utility config.load_kube_config() v1 = client.CoreV1Api() ret = v1.list_pod_for_all_namespaces(watch=False) for i in ret.items: namespa...
StarcoderdataPython
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# -*- coding: utf-8 -*- """ Created on Sun Dec 15 15:27:51 2019 @author: teja """ class Node: def __init__(self, new_data): self.data = new_data self.next = None class Linkedlist: def __init__(self): self.head = None self.tail = None self.len = 0 def push(...
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<reponame>phyuthinzarmg/python-exercises class Scene(object): 2 3 def enter(self): 4 pass 5 6 7 class Engine(object): 8 9 def __init__(self, scene_map): 10 pass 11 12 def play(self): 13 pass 14 15 class Death(Scene): 16 17 def enter(self): 18 pass 19 20 class CentralCorridor(Scene): 21 22 def enter(self): 23 pass 24 25...
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# encoding: utf-8 import json import yaml import click import googleanalytics as ga from googleanalytics import utils from .common import cli # TODO: the blueprint stuff can probably be simplified so that # it's little more than just a call to ga.describe def from_blueprint(scope, src): description = yaml.load(...
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3395662
# ------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. # -------------------------------------------------------------------------- # This script opens an existing model in onnx format and attempts to # mo...
StarcoderdataPython
3225567
from discord import Guild from discord.errors import NotFound from contextlib import suppress from src.utils import channel_to_dict, member_to_dict, role_to_dict, user_to_dict, guild_to_dict class Pools: def __init__(self, bot): self.nonexistant = [] self.bot = bot async def get_all_emoji(s...
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<gh_stars>0 """ ExtendedUser class file """ class ExtendedUser: """ Extends user with more capacities: redirects attr to user """ def __init__(self, user, messenger, dispatcher, database): self.user = user self.messenger = messenger self.dispatcher = dispatcher self.database = ...
StarcoderdataPython
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import inspect from enum import Enum from typing import Any, Type, TypeVar, Union T = TypeVar("T") _PRIMITIVES = (bool, int, float, str, type(None)) class Null: """Null marker""" class ObjectMapper: @staticmethod def tree_to_object(tree: object, annotation: Type[T]) -> T: """Loads JSON-like str...
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1792860
<reponame>rembish/f<filename>fit/messages/__init__.py<gh_stars>1-10 from re import match from fit.record import TIMESTAMP_FIELD_NUM, TIMESTAMP_MASK, \ TIMESTAMP_FIELD_NAME from fit.record.fields import Fields from fit.types import Type from fit.types.array import Array from fit.types.dynamic import Dynamic from fi...
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# Code from Chapter 16 of Machine Learning: An Algorithmic Perspective (2nd Edition) # by <NAME> (http://stephenmonika.net) # You are free to use, change, or redistribute the code in any way you wish for # non-commercial purposes, but please maintain the name of the original author. # This code comes with no warranty...
StarcoderdataPython
3295563
<reponame>kvetab/bio_embeddings from bio_embeddings.extract.light_attention.light_attention_annotation_extractor import ( LightAttentionAnnotationExtractor, ) from bio_embeddings.extract.light_attention.light_attention_model import LightAttention __all__ = ["LightAttentionAnnotationExtractor", "LightAttention"]
StarcoderdataPython
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<gh_stars>0 # run the facial keypoints classes to train a neural network # rupert small, august 2015 # from numpy import * from fk_class_definitions import * # initialise data = genfromtxt('training.csv',delimiter=',') y_vals = data[:,0:30]/96.0 x_vals = data[:,30:]/255.0 inlayer = shape(x_vals)[1] outlayer = shape(...
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1655396
<gh_stars>0 import pyglet import numpy as np import matplotlib.pyplot as plt import pickle import time from libs.game_rules import TITLE, SIZE, LOW, HM_EPISODES, EPS_DECAY, BLACK_ARC_DIAMETER, RED_ARC_DIAMETER, EPSILON, MAX_MOVE, VELOCITY, PENALTY, MOVE_PENALTY, REWARD, LEARNING_RATE, DISCOUNT, MAX_POS, ACTION_SPACE fr...
StarcoderdataPython
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<gh_stars>0 # -*- coding: utf-8 -*- from flask import make_response from application import exception from application.model.legacy.model import User, UserRole, Role from application.util import permission from application.util.database import session_scope from application.views.base_api import BaseNeedLoginAPI, ApiR...
StarcoderdataPython
174765
import torch import torch.nn as nn import torch.nn.functional as F import math import numpy as np import scipy.ndimage from config import config class FlawDetector(nn.Module): """ The FC Discriminator proposed in paper: 'Guided Collaborative Training for Pixel-wise Semi-Supervised Learning' """ n...
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""" Title: MCNP_Dataset.py Author: <NAME> """ # ---------------------------------------------------------------------------- # # Module Imports # # ---------------------------------------------------------------------------- # import sys import num...
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3245704
<filename>nunchuck.py<gh_stars>0 ########################################## ## Python module to read a Wii nunchuck ## ## ## ## Written by Jason - @Boeeerb ## ## <EMAIL> ## ########################################## ## ## v0.1 03/05/14 - Initital release #...
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from .pywrapfst import * # noqa __version__ = '0.1.0'
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<filename>majority_judgment/urls.py from django.urls import path from django.contrib.auth import views as auth_views from majority_judgment import views urlpatterns = [ path(r'charts/results-<int:election_id>.png', views.chart_results, name='results'), ]
StarcoderdataPython
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import unittest import os import datetime as dt import netCDF4 import numpy as np from forest import (eida50, satellite, navigate) from forest.exceptions import FileNotFound, IndexNotFound class TestLocator(unittest.TestCase): def setUp(self): self.paths = [] self.pattern = "test-eida50*.nc" ...
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# Copyright © 2020 IBM # # 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 to in writing, softwa...
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<reponame>waynewu6250/ChatBoxer<gh_stars>1-10 # Generated by Django 2.1.7 on 2019-03-27 02:54 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('dialogue', '0002_auto_20190327_0251'), ] operations = [ migrations.AddField( model...
StarcoderdataPython
3329314
# -*- coding: utf-8 -*- from odoo.addons.account.tests.common import AccountTestInvoicingCommon from odoo.tests import tagged @tagged('post_install', '-at_install') class TaxReportTest(AccountTestInvoicingCommon): @classmethod def setUpClass(cls, chart_template_ref=None): super().setUpClass(chart_tem...
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3328927
#!/usr/bin/python3 # slice # 1. a = 'hello world' b = a[0] c = a[10] print(b, c) # h d # 2. b = a[-1] c = a[-2] d = a[-3] print(b, c, d) # d l r # 3. b = a[0:3] c = a[1:3] print(b, c) # hel el # 4. b = a[:2] c = a[1:] d = a[:] print(b) # he print(c) # ello world print(d) # hello world ...
StarcoderdataPython
1666723
import itertools import argparse import gym from gym.spaces import Discrete class Env(gym.Env): def __init__(self, num_states): super().__init__() self.iterator = None self.num_states = num_states self.observation_space = Discrete(num_states) self.action_space = Discrete(2...
StarcoderdataPython
1673496
<reponame>Lowess/CrowdTruth-core from setuptools import setup, find_packages # import os # import sys setup( name='crowdtruth-fork', version='2.1.1', description= "Disagreement based metrics for the processing and evaluation of crowdsourced annotations", long_description= ("CrowdTruth is an app...
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#!/usr/bin/env python """ _File_t_ Unit tests for the WMBS File class. """ import logging import threading import unittest from Utils.PythonVersion import PY3 from WMCore.DAOFactory import DAOFactory from WMCore.DataStructs.File import File as WMFile from WMCore.DataStructs.Run import Run from WMCore.WMBS.File impo...
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#coding:utf-8 #把wikititle import os import sys, getopt reload(sys) sys.setdefaultencoding('utf-8') maxLength = 10000 def is_chinese(uchar): """判断一个unicode是否是汉字""" if uchar >= u'\u4e00' and uchar <= u'\u9fa5': return True else: return False #这个脚本将读取wikiTitle #每一行:先分掉' ' 再做strip #再取全是汉字的...
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<gh_stars>1-10 # Licensed under a MIT licence - see file `license` import numpy as np from scipy.stats import multivariate_normal import pytest @pytest.fixture() def example3_3(): image = np.ma.array([[1., 2., 3.], [4., 5., 6.], [7., 8., 9.]], ...
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<filename>scripts/make_logo_from_msa.py #!/usr/bin/env python3 import sys from pathlib import Path path_root = Path(__file__).parents[1] sys.path.append(str(path_root)) import argparse from monomer_aligner import make_logo def main() -> None: parser = argparse.ArgumentParser() parser.add_argument('fasta', t...
StarcoderdataPython
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<reponame>heston/firebase-live-data<gh_stars>1-10 import os.path import logging import sys # Add the module path module_path = os.path.abspath(os.path.join( os.path.dirname(__file__), '..' )) sys.path.insert(0, module_path) logging.basicConfig( format='[%(asctime)s] %(levelname)s %(name)s: %(message)s', ...
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DEBUG = True SQLALCHEMY_DATABASE_URI = 'mysql+pymysql://root@localhost/deeplab' SQLALCHEMY_TRACK_MODIFICATIONS = True SEND_FILE_MAX_AGE_DEFAULT = 0 TOKEN_SECRET = 'secret' REGISTER_SECRET_CODE = 'uuu' url = 'http://localhost:5000' UPLOAD_FOLDER = './app/templates/img/upload'
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#!/usr/bin/env python3 import argparse import os import re import difflib class DiffGroup: def __init__(self, group_type, diff, test_names=None): self.group_type = group_type self.diff = diff if test_names: self.test_names = set(test_names) else: self.test_...
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<gh_stars>0 from typing import Dict, Tuple, Union import numpy as np class ContinuousPolicy: """ stores the policy of an infinite horizon agent. """ def __init__(self, policy: Dict[int, Union[int, np.ndarray]], num_actions: int): """ Parameters ---------- policy : Di...
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<reponame>mattkjames7/PyMess<gh_stars>0 import numpy as np def RemoveAxisLabels(ax,axis='x'): ''' This function will remove the tick labels from a specific plot axis. Inputs: ax: pyplot.Axes instance axis: 'x' or 'y' string indicating which axis to remove labels from ''' if axis == 'y': lbl = ax.get_y...
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<reponame>2nd47/stat-txt # XML Parsing import xml.etree.ElementTree as ET # NLP data analysis import nltk nltk.download() from nltk.corpus import stopwords # Interact with user machine from enum import Enum import re import sys from sys import argv import os # INCLUDE HOW MANY WISHES WERE MADE # INCLUDE LONGEST STRE...
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"""Copyright 2011 The University of Michigan 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 to in writi...
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<filename>src/ufc-2.0.5/src/utils/python/ufc_utils/form.py # Code generation format strings for UFC (Unified Form-assembly Code) v. 2.0.5. # This code is released into the public domain. # # The FEniCS Project (http://www.fenicsproject.org/) 2006-2011. form_combined = """\ /// This class defines the interface for the ...
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<reponame>GindaChen/MLOS<filename>source/Mlos.Python/mlos/Mlos/SDK/MlosSmartComponentRuntimeAttributes.py # # Copyright (c) Microsoft Corporation. # Licensed under the MIT License. # from collections import namedtuple def MlosSmartComponentRuntimeAttributes(smart_component_name, attribute_names): assert '...
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<filename>setup.py from setuptools import setup try: long_desc = open("README.md").read() except: print("Skipping README.md for long description as it was not found") long_desc = None setup( name="certbot-iconik-phpipam", version="0.1.0", description="phpipam DNS authentication plugin for Cer...
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# Generated by Django 2.1.2 on 2018-11-11 19:02 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('Game', '0008_notification'), ] operations = [ migrations.AddField( model_name='notification', name='times', ...
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"""ANTLR3 runtime package""" # begin[licence] # # [The "BSD licence"] # Copyright (c) 2005-2008 <NAME> # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions # are met: # 1. Redistributions of source code must r...
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<reponame>michaelpetit/networkperformance<filename>networkperformance/networkperformance.py #!/usr/bin/env python3 # Author: <NAME> # Date: May 2018 # <EMAIL> # Copywrite: MIT Commons ######################################################################################################################## import datetim...
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<reponame>bdice/openpathsampling from .sql_backend import * import pytest class TestSQLStorageBackend(object): def setup(self): self._delete_tmp_files() self.database = self._default_database self.database.debug = True self.schema = { 'samples': [('replica', 'int'), ...
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<reponame>coco-in-bluemoon/baekjoon-online-judge def draw_z(size, position, target): if size == 1: return (position == target, 1) base_r, base_c = position half_size = size // 2 counter = 0 matched = False if (target[0] >= (base_r + size)) or (target[1] >= (base_c + size)): cou...
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<reponame>arm61/scippneutron<filename>python/src/scippneutron/data_streaming/_consumer_type.py # SPDX-License-Identifier: BSD-3-Clause # Copyright (c) 2021 Scipp contributors (https://github.com/scipp) from enum import Enum class ConsumerType(Enum): """ Picklable way of instructing the mp.Process to const...
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__author__ = 'kelvin'
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import os import time import subprocess from PyObjCTools import AppHelper from AppKit import * from encoder import Encoder, not_found_msg # Creates timelapse video from recorder import Recorder # Takes screenshots # Configuration start_recording = False # Start recording on launch encode = True # Create video af...
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from rest_framework import serializers from members.models import Member class MemberSerializer(serializers.ModelSerializer): class Meta: model = Member fields = ('id', 'username', 'name') # def create(self, validated_data): # user = User( # email=validated_da...
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""" @Author: huuuuusy @GitHub: https://github.com/huuuuusy 系统: Ubuntu 18.04 IDE: VS Code 1.36 工具: python == 3.7.3 """ """ 思路: 用set()函数排除重复元素 结果: 执行用时 : 52 ms, 在所有 Python3 提交中击败了94.57%的用户 内存消耗 : 18.6 MB, 在所有 Python3 提交中击败了83.08%的用户 """ class Solution: def containsDuplicate(self, nums): if len...
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<reponame>cdragoiu/particle_physics import math, ROOT, sys from PlotStyle import * # estimate systematics ----------------------------------------------------------------------------- def GetSys(basePath, baseRunType, sysPath, sysRunType, N, ybin): if 'ele' in baseRunType: data = 'DoubleElectron' elif ...
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import matplotlib.pyplot as plt import os import pandas as pd import geopandas as gpd import numpy as np import networkx as nx def map_setup(n_communities, area, small_network=False): # directory of data areas = ['London', 'UK'] if area not in areas: raise ValueError("Invalid area name. Expect...
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<filename>src/abg_python/tests/test_function_utils.py from ..function_utils import * import numpy as np def test_filter_kwargs(): def func(foo=1,bar=2): return foo + bar kwargs = { 'foo':2, 'bar':3, 'cat':None, 'dog':1 } good,bad = filter_kwargs(func,kwar...
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import socket import serial import modbus_tk.defines as cst from modbus_tk import modbus_rtu from datetime import datetime import pywinusb.hid as hid from time import sleep import time serial = serial.Serial( port='COM4', baudrate=9600, bytesize=8, ...
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#! /usr/bin/python # Note: this program requires the Banyan data structure library. # https://pypi.python.org/pypi/Banyan import argparse import ast import banyan import collections import dircache import errno import os import re import subprocess import sys import tempfile class Fingerprint(list): def __init__...
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<filename>tests/unit/test_juju.py import os import tempfile import mock from . import utils from hotsos.core.config import setup_config from hotsos.core.ycheck.scenarios import YScenarioChecker from hotsos.core.issues.utils import KnownBugsStore, IssuesStore from hotsos.plugin_extensions.juju import summary JOURNAL...
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import os.path from scipy.optimize import fsolve import math import numpy as np from matplotlib import pyplot as plt import pandas as pd import utils_Florian as utils def equations(p, t_peak, t_half): x, y = p return (0.5 * (math.exp(-x * t_peak) - math.exp(-y * t_peak)) - (math.exp(-x * t_half) - math.exp...
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''' ./common/lib/xmodule/xmodule/modulestore ''' from django.http import Http404 from xmodule.modulestore.django import modulestore def get_course_by_id(course_key, depth=0): """ Given a course id, return the corresponding course descriptor. If such a course does not exist, raises a 404. depth: Th...
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<reponame>guitarmind/HPA-competition-solutions import os, sys #os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID" os.environ["CUDA_VISIBLE_DEVICES"]="1" import numpy as np import pandas as pd import matplotlib.pyplot as plt import skimage.io from skimage.transform import resize from imgaug import augmenters as iaa from tq...
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<gh_stars>1-10 from copy import copy from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Type, cast from pypika import Table from pypika.terms import Criterion from tortoise.exceptions import FieldError, OperationalError from tortoise.fields.relational import BackwardFKRelation, ManyToManyFieldInstanc...
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class Solution: def canFinish(self, numCourses: int, prerequisites: List[List[int]]) -> bool: course_col = collections.defaultdict(list) for realate in prerequisites: nex, pre = realate[0], realate[1] course_col[ pre ].append(nex) checked = [Fals...
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<reponame>sensorai/sensorai<filename>sensorai/cell_extension.py def run_if(line, cell=None): '''Execute current line/cell if line evaluates to True.''' if not eval(line): return get_ipython().ex(cell) def load_ipython_extension(shell): '''Registers the run_if magic when the extension loads.''' ...
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from ..client import DSClient class DSDevice(object): ID_FIELD = "id" def __init__(self, client: DSClient, device_id, device_name, *args, **kwargs): self._client = client self._id = device_id self._name = device_name def __str__(self): return '<{type} {id} "{name}">'.form...
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<filename>pytorch_optimizer/__init__.py # pylint: disable=unused-import from pytorch_optimizer.adabelief import AdaBelief from pytorch_optimizer.adabound import AdaBound from pytorch_optimizer.adahessian import AdaHessian from pytorch_optimizer.adamp import AdamP from pytorch_optimizer.agc import agc from pytorch_optim...
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<gh_stars>0 def goodSegement1(badList,l,r): sortedBadList = sorted(badList) current =sortedBadList[0] maxVal = 0 for i in range(len(sortedBadList)): current = sortedBadList[i] maxIndex = i+1 # first value if i == 0 and l<=current<=r: val = current - l ...
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<filename>deepsurv/datasets.py from math import log, exp import numpy as np class SimulatedData: def __init__(self, hr_ratio, average_death = 5, censor_mode = 'end_time', end_time = 15, observed_p = None, num_features = 10, num_var = 2, treatment_group = False): """ ...
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import docker docker_socket = 'tcp://172.17.42.1:4243' client = docker.client.Client(base_url=docker_socket) slave_image = 'datalad/buildslave:nd80-1' container = client.create_container(slave_image) client.start(container['Id']) # Optionally examine the logs of the master client.stop(container['Id']) client.wait(conta...
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