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3339453
# -*- coding: utf-8 -*- # Library dependancies import csv import json import math import os import sys # Files MOVIES_INPUT_FILE = 'data/top_10_movies_2006-2015.json' CENSUS_INPUT_FILE = 'data/census_2014.json' REPORT_OUTPUT_FILE = 'data/hollywood_census_report.csv' # Init races = [] people = [] census = [] hollywoo...
StarcoderdataPython
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<reponame>RaspberryPi-Samples/py-my-key<filename>py_my_key/samples/sample_nxppy.py<gh_stars>1-10 import nxppy import time mifare = nxppy.Mifare() # Print card UIDs as they are detected while True: try: uid = mifare.select() print(uid) except nxppy.SelectError: # SelectError is raised i...
StarcoderdataPython
8009607
<reponame>LexcaliburR/notebook import torch import torch.nn as nn from torch.onnx import register_custom_op_symbolic from torch.onnx.symbolic_helper import parse_args # Define custom symbolic function @parse_args("v", "v", "f", "i") def symbolic_foo_forward(g, input1, input2, attr1, attr2): return g.op("custom_do...
StarcoderdataPython
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<gh_stars>0 # -*- coding: utf-8 -*- """Template Helpers used in workbox""" import logging import socket from datetime import datetime from markupsafe import Markup import psutil import tg log = logging.getLogger(__name__) def current_year(): """ Return current year. """ now = datetime.now() return now....
StarcoderdataPython
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<reponame>KKoga/UniRapidJson # coding: utf-8 # Copyright (c) 2017 <NAME> # # UniRapidJson is released under the MIT License. # http://opensource.org/licenses/mit-license.php import uuid import os import time import tempfile import shutil import tarfile import gzip PROJ_ROOT = os.path.join(os.path.dirname(os.path.ab...
StarcoderdataPython
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from Crypto.PublicKey import RSA from Crypto.Signature import pss from Crypto.Hash import SHA256 message = None with open('secret2.txt', 'rb') as f: message = f.read() with open('private_key.pem', 'rb') as f: private_key = RSA.import_key(f.read()) hash = SHA256.new(message) print(f'hash: {hash.hexdigest()}') ...
StarcoderdataPython
47115
import argparse import os import cv2 import numpy as np import torch from torch import nn from deepface.backbones.iresnet import iresnet18, iresnet34, iresnet50, iresnet100, iresnet200 from deepface.backbones.mobilefacenet import get_mbf from deepface.commons import functions import gdown url={ 'ms1mv3_r50':'https:...
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from typing import List, Tuple, Set, Iterable import itertools import numpy as np class GridError(Exception): """ Custom Exception for grid validation """ pass def input_grid(grid: List[str] = None) -> List[str]: """ Inputting grid and splitting it to list of strings :param grid: (option...
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<reponame>mithi/algorithm-playground import numpy as np import plotly.graph_objects as go # rotate about y, translate in x def frame_yrotate_xtranslate(theta, x): theta = np.radians(theta) cos_theta = np.cos(theta) sin_theta = np.sin(theta) return np.array([ [cos_theta, 0, sin_theta, x], [0, 1, 0, 0],...
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from ui import Widget, Text, MuiFont, Display, MotionEvent
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<reponame>EkremBayar/bayar from typing import TypeVar, Union import numpy as np import numpy.typing as npt T = TypeVar("T", bound=npt.NBitBase) def add(a: np.floating[T], b: np.integer[T]) -> np.floating[T]: return a + b i8: np.int64 i4: np.int32 f8: np.float64 f4: np.float32 reveal_type(add(f8, i8)) # E: nump...
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<reponame>marvincosmo/Python-Curso-em-Video<filename>ex058 - Jogo da adivinhação v2.0.py """ 58 - Melhore o jogo do desafio 028, onde o computador vai 'pensar' em um número entre 0 e 10. Só que agora o jogador vai tentar adivinhar até acertar, mostrando, no final, quantos palpites foram necessários para vencer. """ ''...
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import logging import numpy as np import tqdm from lwrl.utils.visualizer import Visualizer import lwrl.utils.logging as L class Runner: def __init__(self, agent, env, test_env=None): self.agent = agent self.env = env self.test_env = test_env if test_env is not None else self.env def...
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"""Optimize services and applications deployed on Kubernetes with Opsani. """ from __future__ import annotations, print_function import abc import asyncio import collections import contextlib import copy import datetime import decimal import enum import functools import itertools import json import operator import os ...
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<gh_stars>0 # @lc app=leetcode id=230 lang=python3 # # [230] Kth Smallest Element in a BST # # https://leetcode.com/problems/kth-smallest-element-in-a-bst/description/ # # algorithms # Medium (63.45%) # Likes: 4133 # Dislikes: 90 # Total Accepted: 558.7K # Total Submissions: 876.8K # Testcase Example: '[3,1,4,nu...
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import tensorflow as tf slim = tf.contrib.slim from helper_net.inception_v4 import * import pickle import numpy as np def get_weights(): checkpoint_file = '../checkpoints/inception_v4.ckpt' sess = tf.Session() arg_scope = inception_v4_arg_scope() input_tensor = tf.placeholder(tf.float32, (None, 299, 299, 3)) with...
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# Computational Linear Algebra Ep#2 ex1 # By: <NAME> import numpy as np import time if __name__ == "__main__": print("A:") # Generates a random 10x10 upper triangular matrix with values between zero to 100 A = np.array(np.random.randint (0,100,(10,10))) A1 = np.triu(A) print(A) print("A1:") print(A1) print("...
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<reponame>liyuanyuan11/Python bestFriends=["Jerry","Mark","Justin","Jonny","Tom","Marry","Jenny","Daniel","Tony"] print(bestFriends) print(bestFriends[0]) bestFriends[0]="Christina" print(bestFriends) bestFriends.append("Frozy") print(bestFriends)
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from scipy import misc, signal import mrcfile import numpy as np from aspire.utils.numeric import xp from aspire.utils import ensure class Micrograph: def __init__(self, filepath, margin=None, shrink_factor=None, square=False, gauss_filter_size=None, gauss_filter_sigma=None): self.filepath = filepath ...
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<filename>Python/841.py from collections import deque class Solution(object): def canVisitAllRooms(self, rooms): """ :type rooms: List[List[int]] :rtype: bool """ if not rooms: return True openRooms = set([0]) queue = deque(rooms[0]) while...
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from DPjudge import Power class XtalballPower(Power): # ---------------------------------------------------------------------- def __init__(self, game, name, type = None): Power.__init__(self, game, name, type) # ---------------------------------------------------------------------- def __repr__(self): text = ...
StarcoderdataPython
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<gh_stars>1-10 import socket from sys import argv import cv2 import mediapipe as mp import itertools import numpy as np import time import sys from multiprocessing import Queue, Process from queue import Empty import atexit from math import ceil from collections import deque sys.path.insert(1, './tools') import holist...
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<reponame>takatsugukosugi/illustration2vec from abc import ABCMeta, abstractmethod import numpy as np class Illustration2VecBase(object): __metaclass__ = ABCMeta def __init__(self, net, tags=None, threshold=None): self.net = net if tags is not None: self.tags = np.array(tags) ...
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import os import cv2 import keras.backend as K import keras.layers as layers import numpy as np from keras import regularizers from keras.applications import resnet50 from keras.applications.resnet50 import WEIGHTS_PATH_NO_TOP from keras.initializers import TruncatedNormal from keras.layers import Input, BatchNormaliz...
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<filename>tests/unit/test_client.py # Copyright 2014 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/licenses/LICENSE-2.0 # # Unless required by appli...
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#crop and resize the image from PIL import Image import os #for image read and save from skimage import io from skimage.transform import resize import time #scriptDir = os.path.dirname(__file__) #imagePath = os.path.join(scriptDir, '/home/tirth/Diabetic Retinopathy/TirthSampleTest/126_right.jpeg') start_time_first = ...
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#!/usr/bin/env python3 # Complete the isBalanced function below. if __name__ == "__main__": table = {")":"(", "]":"[", "}":"{"} for _ in range(int(input())): stack = [] for x in input(): if stack and table.get(x) == stack[-1]: stack.pop() else: ...
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<reponame>yumauri/kings_and_pigs import pygame from ..functions import loader from .animation import Animation from .animated_entity import AnimatedEntity # dialogue sprites loader load_image = loader("kings_and_pigs/data/sprites/13-Dialogue Boxes") class Dialogue(AnimatedEntity): def __init__(self, x, y, show,...
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<reponame>jklymak/dolfyn from setuptools import setup, find_packages import os import shutil # Change this to True if you want to include the tests and test data # in the distribution. include_tests = False try: # This deals with a bug where the tests aren't excluded due to not # rebuilding the files in this ...
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begin_unit comment|'# Copyright 2010-2011 OpenStack Foundation' nl|'\n' comment|'# All Rights Reserved.' nl|'\n' comment|'#' nl|'\n' comment|'# Licensed under the Apache License, Version 2.0 (the "License"); you may' nl|'\n' comment|'# not use this file except in compliance with the License. You may obtain' nl|'\...
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<gh_stars>1-10 # TODO : Clean var ; rem cache import query_retreive as qr import retreiveData as rd import time,pickle from flask import Flask, jsonify,request app = Flask(__name__) ''' ADD TEMPLATE : ''' @app.route('/',methods=["GET"]) def query(): previous = "" file = open("./aipc.pickle","rb") pla...
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<gh_stars>1-10 temperatura = int(input('informe a temperatura em graus celcius:')) converssão = (temperatura*9/5)+32 print('A temperatura em graus celcius é de {}C \nApós de ser convertida para fharenheit fica {}F'.format(temperatura, converssão))
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#!BPY """ Name: 'Newton Alchemedia Format (.xml)' Blender: 243 Group: 'Import' Tooltip: 'Import from a Newton Alchemedia file format (.xml).' """ # -------------------------------------------------------------------------- # Licence # Created: 20/08/2010 # Copyright: Copyright (c) <2010> <Newton Game Dynamics...
StarcoderdataPython
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<filename>plasma-2040/lightAll96LEDsOnStrip.py import plasma from plasma import plasma2040 NUM_LEDS = 96 led_strip = plasma.WS2812(NUM_LEDS, 0, 0, plasma2040.DAT) led_strip.start() for i in range(NUM_LEDS): led_strip.set_rgb(i, 127, 0, 0)
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def fac(n): if n in [0, 1]: return 1 else: return n * fac(n-1) def sum_of_the_factorial_of_their_digits(n): fac_of_the_digits = [fac_dic[int(x)] for x in str(n)] return sum(fac_of_the_digits) def main(): for n in range(10, 2540161): if n == sum_of_the_fac...
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azure_credentials_schema = { "$id": "http://azure-ml.com/schemas/azure_credentials.json", "$schema": "http://json-schema.org/schema", "title": "azure_credentials", "description": "JSON specification for your azure credentials", "type": "object", "required": ["clientId", "clientSecret", "subscrip...
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# 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, software # distributed under th...
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<gh_stars>1-10 #!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Mon Jun 10 16:20:44 2019 @author: joscelynec """ import math #Needed for distance formula import heapq #Needed for Priority Queue """ Class used to encapsulate a graph node for use in the Priority Queue """ class graph_node: def __init...
StarcoderdataPython
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<gh_stars>1-10 #!/usr/bin/env python3 # chip_list.py # import logging import os from pathlib import Path import yaml from . import chip log = logging.getLogger(__name__) class ChipList: _chip_list = {} _global_name_dict = {} def __init__(self): log.debug('ChipList.__init__()') self.clear(...
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<filename>openmdao/devtools/docs_experiment/experimental_source/core/experimental_driver.py """Define a base class for all Drivers in OpenMDAO.""" from collections import OrderedDict import warnings import numpy as np from openmdao.recorders.recording_manager import RecordingManager from openmdao.recorders.recording_...
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<gh_stars>0 #!/usr/bin/env python3 # Problem 14: Longest Collatz sequence # https://projecteuler.net/problem=14 import sys def euler014(bound): best_start = 0 best_length = 0 for start in range(1, bound): number = start length = 0 while number != 1: number = number // ...
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<gh_stars>10-100 """CB58 encode or decode FILE, or standard input, to standard output. """ import argparse import sys from . import __version__, cb58decode, cb58encode EPILOG = """ CB58 is a base-58 encoding with a 32-bit checksum, used on the AVA network. It's similar to base58check. """ def main(argv=None): ...
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<gh_stars>1-10 # -*- coding: utf-8 -*- import logging import torch from torch import nn from ...layers import TextEncoder from ...layers import PWEmbeddingOutputDecoder from ...utils.misc import get_n_params from ...vocabulary import Vocabulary from ...utils.topology import Topology from ...utils.ml_metrics import Lo...
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from twisted.internet import reactor, protocol from twisted.protocols import basic from World.Lib.telcodes import RED, NEWLINE, BLUE, RESET import dircache, md5 import World from World import WORLD NOSTATE = 0 LOGIN = 1 PASSWORD = 2 NEWLOGIN = 3 NEWPASSWORD = 4 GAME = 5 INTRO = open("./Text/Intro.txt", ...
StarcoderdataPython
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#!/usr/bin/env python # -*- coding: utf-8 -*- """Tests for `openclsim` package.""" import pytest import simpy import shapely.geometry import logging import datetime import time import numpy as np from click.testing import CliRunner from openclsim import core from openclsim import model from openclsim import cli lo...
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#!/usr/bin/env python3 import os import logging import time import requests from .nitro import NitroClient from .frrouting import FrroutingClient logger = logging.getLogger(__name__) class SyncService(): def __init__(self, url, username, password, nexthop): self.frr_client = FrroutingClient() self.nitro_cl...
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from django.db import models class Tweet(models.Model): content = models.TextField(blank= True,null=True) image = models.FileField(upload_to= 'images/', blank= True,null=True)
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<gh_stars>100-1000 # Python program to demonstrate Basic Euclidean Algorithm # Function to return gcd of a and b def gcd(a, b): if a == 0 : return b return gcd(b%a, a) # example with 2 numbers which could be taken as input also a = 10 b = 15 print(gcd(a, b))
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import math import random import geomstats.backend as gs from geomstats.geometry.spd_matrices import SPDMatrices from tests.data_generation import _OpenSetTestData, _RiemannianMetricTestData SQRT_2 = math.sqrt(2.0) LN_2 = math.log(2.0) EXP_1 = math.exp(1.0) EXP_2 = math.exp(2.0) SINH_1 = math.sinh(1.0) class SPDMat...
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<reponame>lodino/Camera-Feature-Extraction import glob def load_img_from_dir(dir_path: str, f: str) -> [str]: if dir_path == '': return glob.glob('*') else: if dir_path[-1] != '/': dir_path += '/' return list(glob.glob(dir_path + '*.' + f))
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def main(): try: option = 0 while (option != 4): print() print("1 - Divide by zero") print("2 - Open a nonexistent file") print("3 - Bad list index") print("4 - Quit") print() op...
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import requests import pandas as pd #data = requests.get('https://www.alphavantage.co/query?function=TIME_SERIES_DAILY&symbol=IBM&outputsize=full&apikey=demo').json() data = requests.get('https://www.alphavantage.co/query?function=TIME_SERIES_DAILY_ADJUSTED&symbol=AAPL&outputsize=full&apikey=<KEY>').json() df = pd.D...
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""" Methods and heuristics used to build the bitcoin user network graph from transactions list """ from .graph_database_driver import GraphDatabaseDriver class UserNetwork: """ Process transactions and populate the GraphDatabaseDriver with addresses and their relations """ def __init__(self): s...
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<reponame>diofeher/ctf-writeups def solution(A, B, K): if A % K == 0: return (B - A) // K + 1 else: return (B - (A - A % K )) // K
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<reponame>wittawatj/kernel-mod """ Utility functions specific for experiments. These functions are less general than the ones in kmod.util. """ import matplotlib import matplotlib.pyplot as plt import matplotlib.gridspec as gridspec import kmod.util as util import numpy as np from scipy import linalg from sklearn.me...
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#!/usr/bin/env python ''' Copyright (c) 2019, Robot Control and Pattern Recognition Group, Warsaw University of Technology All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions...
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# coding: utf-8 # Copyright (c) 2016, 2022, Oracle and/or its affiliates. All rights reserved. # This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may c...
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<filename>infoqscraper/__init__.py<gh_stars>10-100 # -*- coding: utf-8 -*- # # Copyright (c) 2012, <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: # * Redistributions of source code must r...
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<reponame>rnui2k/vivisect from ctypes import * from ctypes import util iokit = cdll.LoadLibrary(util.find_library('IOKit')) cf = cdll.LoadLibrary(util.find_library('CoreFoundation')) cf.CFStringCreateWithCString.argtypes = [c_void_p, c_char_p, c_int32] cf.CFStringCreateWithCString.restype = c_void_p cf.CFStringGetC...
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# -*- coding: utf-8 -*- """ Numpy and Scipy script files that are common to both Keras+TF and PyTorch """ import numpy as np import re from scipy.spatial.distance import cdist import torch from torch.optim import Optimizer __all__ = ['classes', 'eps', 'parse_name', 'rotation_matrix', 'get_gamma', 'get_accuracy'] # ...
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import traceback from typing import Any from dotenv import find_dotenv, load_dotenv from fastapi import FastAPI from pydantic.fields import ModelField from starlette.responses import PlainTextResponse import main_dramatiq # type: ignore load_dotenv(find_dotenv(".env"), verbose=True) def create_app(): from trai...
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# Copyright 1999-2020 Alibaba Group Holding Ltd. # # 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 a...
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<reponame>cloudify-cosmo/cloudify-manager-blueprints #!/usr/bin/env python from os.path import join, dirname from cloudify import ctx ctx.download_resource( join('components', 'utils.py'), join(dirname(__file__), 'utils.py')) import utils # NOQA # Most images already ship with the following packages: # # ...
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<gh_stars>10-100 from flask import Flask from .root import root from .maskmap import maskmap from .indonesia import indonesia def register_route(app: Flask): app.register_blueprint(root, url_prefix='/') app.register_blueprint(maskmap, url_prefix='/maskmap') app.register_blueprint(indonesia, url_prefix='/i...
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"""Implementations for metadata analysis are kept here."""
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<reponame>yup8j/ScholarPaperManagement from backend.resources import * from backend.handlers.InfoHandler import * from flask_jwt_extended import jwt_required, get_jwt_identity class GetInfo(API): @jwt_required def post(self): """ :return: """ ''' 用户鉴权:获得userid ''' requ...
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<filename>CameraLib/cameraPi.py import io import time import picamera from picamera.array import PiRGBArray from .baseCamera import BaseCamera from IotLib.log import Log class Camera(BaseCamera): width = 1280 height = 720 def __init__(self, width=1280, height=720, crosshair=False): """ initialize ...
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import numpy as np import reciprocalspaceship as rs import tensorflow as tf from tensorflow import keras as tfk from IPython import embed class SelfAttentionBlock(tfk.layers.Layer): def __init__(self, attention_dims, num_heads, ff_dims=None): super().__init__() attention_dims = attention_dims ...
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<filename>core/gf/test.py import pytest import server @pytest.fixture(scope="session") def authorship_grammar(): with open("test_grammars/Authorship.gf", "r") as f: abstract = {"content": f.read()} with open("test_grammars/AuthorshipEng.gf", "r") as f: inst = {"content": f.read(), "key": "Eng"...
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<gh_stars>0 from model.utils import * from model.DL_ClassifierModel import * dataClass = DataClass('data.txt', validSize=0.2, testSize=0.0, kmers=3) dataClass.vectorize("char2vec", feaSize=64) s, f, k, d = 64, 128, 3, 64 model = TextClassifier_SPPCNN(classNum=5, embedding=dataClass.vector['embedding'], SPPSize=s, feaS...
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''' Author : <NAME> Codeforces ID : Kazi_Amit_Hasan Problem: Codeforces 71A (Way Too long words) ''' class WayTooLongWords: def solve(self, strInputs): strOutputs = list() for line in strInputs: if (len(line) > 10): line = line[0] + str(len(line) - 2) + line[-1] ...
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from PreprocessData.all_class_files.Intangible import Intangible import global_data class Brand(Intangible): def __init__(self, additionalType=None, alternateName=None, description=None, disambiguatingDescription=None, identifier=None, image=None, mainEntityOfPage=None, name=None, potentialAction=None, sameA...
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<reponame>joshlyman/Josh-LeetCode # refer from: # https://leetcode.com/problems/flatten-binary-tree-to-linked-list/solution/ # 2. Iterative Morris traversal class Solution: def flatten(self, root: TreeNode) -> None: """ Do not return anything, modify root in-place instead. """ ...
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""" Stage class designed to be inherited by PISA Pi services, such that all basic functionality is built-in. """ from __future__ import absolute_import, division from collections import OrderedDict from numba import SmartArray from pisa.core.base_stage import BaseStage from pisa.core.binning import MultiDimBinning ...
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from app import jwt, app from werkzeug.exceptions import HTTPException # 处理全局未授权错误 @jwt.unauthorized_loader def handle_unauthorized_error(e): res = { "code": 401, "msg": str(e) } return res @app.errorhandler(Exception) def handle_error(e): code = 500 msg = str(e) if isinstance(e, HTTPException): ...
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<reponame>wjsi/mars<filename>mars/core/entity/__init__.py # Copyright 1999-2021 Alibaba Group Holding Ltd. # # 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/licen...
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""" Abstract base class and subclasses for producing different embeddings from standard computer vision models """ import tensorflow as tf import numpy as np from abc import ABC, abstractmethod class Predictor(object): def __init__(self, args): self.batch_size = args.batch_size self.model = self....
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from typing import Dict from typing import List from botocore.paginate import Paginator class GetOfferingStatus(Paginator): def paginate(self, PaginationConfig: Dict = None) -> Dict: pass class ListArtifacts(Paginator): def paginate(self, arn: str, type: str, PaginationConfig: Dict = None) -> Dict: ...
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<gh_stars>1000+ """! @brief Unit-tests for Oscillatory Neural Network based on Kuramoto model. @authors <NAME> (<EMAIL>) @date 2014-2020 @copyright BSD-3-Clause """ import unittest; # Generate images without having a window appear. import matplotlib; matplotlib.use('Agg'); from pyclustering.nnet.t...
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#Exercício Python 15: # Escreva um programa que pergunte a quantidade de Km percorridos por um carro alugado e a quantidade de #dias # pelos quais ele foi alugado. Calcule o preço a pagar, sabendo que o carro custa R$60 por dia e R$0,15 #por Km rodado. print('------------------------------') print(' LOCADORA D...
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<reponame>mltony/nestts import copy import numbers import sys import topology from topology import ValidationError import util from variable import Variable class TopologyError(Exception): '''Topology error. Might indicate that there is a loop in the network.''' pass class Connection: '''Represents a con...
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import sys import numpy as np from .skeleton import Skeleton, Bone from . import posquat as pq fbxsdkpath = r'D:\Software\fbx_python37_x64' if fbxsdkpath not in sys.path: sys.path.append(fbxsdkpath) import FbxCommon as fb import fbx def find_mesh_node(pScene): def _get_mesh(pNode): if isinstance(pNo...
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<reponame>mlewis1973/pyosirix # test_dictionary.py """Test suite for dicom_dictionary.py""" # Copyright (c) 2008 <NAME> # This file is part of pydicom, released under a modified MIT license. # See the file license.txt included with this distribution, also # available at http://pydicom.googlecode.com import unitt...
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# md5 : 7cf8d5549f3c4b0a7870d0e515a9c033 # sha1 : 2be54bd63ab58118a845ed5fd57ad35ee54301b4 # sha256 : b3094ce056324c5d330849d020e0c3a2e4a7359b17434be3ae13e0f8354ce14d ord_names = { 1: b'OleUIAddVerbMenuA', 2: b'OleUICanConvertOrActivateAs', 3: b'OleUIInsertObjectA', 4: b'OleUIPasteSpecialA', 5: b'O...
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<filename>trustMonitor/trust_monitor/verifier/ra_verifier.py #!/usr/bin/env python # -*- coding: utf-8 -*- # ra_verifier.py: execute the integrity analyses # # Copyright (C) 2014 Politecnico di Torino, Italy # TORSEC group -- http://security.polito.it # # Author: <NAME> <<EMAIL>> # # This library is...
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<reponame>Decathlon/decavision<filename>decavision/utils/data_utils.py import os from random import shuffle import sys import tarfile import urllib.request import zipfile import numpy as np import PIL from PIL import Image import tensorflow as tf def prepare_image(image_path, target_size, rescaling=255): """ ...
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""" OpenVINO DL Workbench Interfaces class for error processing classes Copyright (c) 2018 Intel 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/licens...
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name = "langsci" #__all__ = ['asciify', 'assignproofreaders', 'autoindex', 'bibnouns', #'delatex', 'doc2tex', 'extractaw','fixindex','langscibibtex','normalizebib','sanitycheck','sanitygit','zenodo']
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"""Entire flask app.""" from datetime import datetime from flask import Flask, jsonify, request, Response from flask_sqlalchemy import SQLAlchemy from flask_httpauth import HTTPTokenAuth from functools import wraps import json import os from passlib.hash import pbkdf2_sha256 as hasher app = Flask(__name__) app.config...
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# Multiple Comparisons # the way vs. the better way # simplify chained comparison # <NAME> # <NAME> day of 2020 time_of_the_day = 6 day_of_the_week = 'mon' # this way if time_of_the_day < 12 and time_of_the_day > 6: print('Good morning') # a better way if 6 < time_of_the_day < 12: print('Good morning') # this w...
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import statistics from colors import Colors from shared.utils import Utils class Informer(): def __init__(self, averageTimes): self.times = averageTimes """ Preliminar report with overall data """ def print_response_times_data(self, times): # TODO: implement full report with enhanc...
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# Copyright 2018 F5 Networks Inc. # # 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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# -*- coding: utf-8 -*- # Authors: <NAME> <<EMAIL>> import unittest from .. import SingleElementinaSortedArray class test_SingleElementinaSortedArray(unittest.TestCase): solution = SingleElementinaSortedArray.Solution() def test_singleNonDuplicate(self): self.assertEqual(self.solution.singleNonDup...
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<gh_stars>10-100 """ Command line interface for working with cached data for YATSM algorithms """ import fnmatch import logging import os import time import click from . import options from .. import io from ..cache import (get_line_cache_name, get_line_cache_pattern, update_cache_file, write_cac...
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<gh_stars>0 import numpy as np import time current_dir = 0 #0 = up , 1 = down ||, 2 = left , 3 = right orientation = 0 def horizontal_move(direction): if(direction == 'left'): current_dir = 2 print 'moving left' + str(current_dir) time.sleep(2) elif(direction == 'right'): cur...
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import pandas as pd import numpy as np import matplotlib.pyplot as plt import os from pathlib import Path from itertools import islice class My_dict(dict): def __init__(self): self = dict() def add(self, key, value): self[key] = value class Df(): def __init__(self, raw_data_location): ...
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<filename>examples/recsys/multivae.py # flake8: noqa from typing import Dict, List import torch from torch import nn, optim from torch.nn import functional as F from torch.optim.lr_scheduler import StepLR from torch.utils.data import DataLoader from catalyst import dl, metrics from catalyst.contrib.datasets import Mo...
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from __future__ import absolute_import import logging import threading from galaxy.web.stack import register_postfork_function from .sleeper import Sleeper log = logging.getLogger(__name__) DEFAULT_MONITOR_THREAD_JOIN_TIMEOUT = 5 class Monitors(object): def _init_monitor_thread(self, name, target_name=None, ...
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<reponame>splumb/PuTTY import sys import numbers import itertools assert sys.version_info[:2] >= (3,0), "This is Python 3 code" from numbertheory import * class AffinePoint(object): """Base class for points on an elliptic curve.""" def __init__(self, curve, *args): self.curve = curve if len(...
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<filename>chalk/__init__.py import math from functools import reduce from typing import Iterable, List, Tuple, Optional try: from importlib import metadata except ImportError: # for Python<3.8 import importlib_metadata as metadata # type: ignore from chalk.core import Diagram, Empty, Primitive from chalk.s...
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