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import pickle import pandas as pd #where you choose the mounth df_la = pickle.load(open('data/LA-month/df_la_1', 'rb')) neighborhoods = pd.read_csv('data/neighborhood_info.csv') #where you define the crime category df_crime = df_la[df_la['new_category'] == 'sexual_offenses'] def crime_count(neighborhood, df_crime): ...
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# -*- coding: utf-8 -*- import cv2 import os import json def write_img(img_url,str_points,out_path): img_key = img_url.split(os.sep)[-1] points = [] #points.replace(' ','') if str_points != 'false': lx = int(str_points[0]) ly = int(str_points[1]) rx = int(str_points[2]) ...
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from typing import ( Generic, TypeVar, Iterable, Iterator, Awaitable, Callable, Any, List, Optional ) from asyncio import AbstractEventLoop from concurrent.futures import Executor import asyncio from functools import reduce import tqdm # type: ignore from .util import as_submitted, pure, run, fmap, update_p...
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# Copyright 2017 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 the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applica...
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x = input() y = input() ans = 'Yes' for i in range(len(x)): if x[i] != y[i]: ans = 'No' print(ans)
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from logger.Logging import log_class from feature_engineering.scaling_tranform import Data_scaling from sklearn.ensemble import RandomForestClassifier from sklearn.model_selection import GridSearchCV from xgboost import XGBClassifier from sklearn.metrics import roc_auc_score,accuracy_score import pickle import os impor...
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"""mysite URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/2.1/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: path('', views.home, name='home') Class-based ...
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import kivy kivy.require('1.10.0') # replace with your current kivy version ! from kivy.app import App from kivy.uix.widget import Widget from kivy.uix.button import Button from kivy.graphics import Color, Ellipse,Line class MyPaintWidget(Widget): def on_touch_down(self, touch): #self refers to the widget, tou...
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import datetime import mongoengine as me class Owner(me.Document): registered_date = me.DateTimeField(default=datetime.datetime.now()) name = me.StringField(required=True) email = me.StringField(required=True) dog_ids = me.ListField() room_ids = me.ListField() meta = { 'collection': '...
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''' Glue for returning descriptive statistics. ''' import numpy as np from scipy import stats import os from statsmodels.stats.descriptivestats import sign_test ############################################# # #============================================ # Univariate Descriptive Statistics #=====================...
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# vim:fileencoding=utf-8 import urllib2 try: import json except ImportError: try: from django.utils import simplejson as json except ImportError: import simplejson as json MESSAGE_SEND_URI = '/2/messages/@me/@self/@outbox' MESSAGE_URI = '/2/messages/@me/@self/@inbox/%s' def _send_mess...
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from app import create_app from flask_script import Manager,Server # Creating app instance app = create_app('development') manager = Manager(app) manager.add_command('server', Server) @manager.command def test(): ''' Run the unit tests for the classes. ''' import unittest tests = unittest.TestLoad...
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class Solution: def isValidSudoku(self, board: List[List[str]]) -> bool: for r in range(len(board)): dup = self.checkDuplicates(self.getRow(board, r)) if dup: return False for c in range(len(board[0])): dup = self.checkDuplicates(self.getCol(board,...
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from flask_script import Manager, Server from flask_app import app from flask_migrate import Migrate, MigrateCommand from database.exts import db from database import models # 模型文件必须导入进来,否则运行报错 manager = Manager(app) Migrate(app=app, db=db) manager.add_command('db', MigrateCommand) # 创建数据库映射命令 manager.add_command('s...
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_base_ = ['../../../../_base_/datasets/jhmdb.py'] log_level = 'INFO' load_from = 'https://download.openmmlab.com/mmpose/top_down/resnet/res50_mpii_256x256-418ffc88_20200812.pth' # noqa: E501 resume_from = None dist_params = dict(backend='nccl') workflow = [('train', 1)] checkpoint_config = dict(interval=1) evaluation ...
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# Generated by Django 3.0.1 on 2020-02-09 20:34 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('exchange', '0013_assignment_time_spent'), ] operations = [ migrations.RemoveField( model_name='assignment', name='moniker', ...
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#!/usr/bin/env python # -*- coding: utf-8 -*- # https://cryptography.io/en/latest/hazmat/primitives/key-derivation-functions/ import os import binascii from passlib.crypto.digest import pbkdf1 from cryptography.hazmat.primitives import hashes from cryptography.hazmat.primitives.kdf.pbkdf2 import PBKDF2HMAC from crypto...
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# Generated by Django 3.0.2 on 2020-07-02 11:20 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('inventory', '0001_initia...
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from datetime import datetime from sqlalchemy import Integer, Column, String, DateTime, \ ForeignKey, Sequence, text, Index from sqlalchemy.dialects.postgresql import UUID, JSONB from fusion_models.tenant.base import ClientBase class File(ClientBase): __tablename__ = 'files' id = Column(UUID(as_uuid=Tr...
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import socket host = '127.0.0.1' port = 8080 with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: s.connect((host, port)) s.sendall(b'hello world') data = s.recv(1024) print("Received...", repr(data))
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import os import numpy as np from openrec.legacy import ImplicitModelTrainer from openrec.legacy.utils import ImplicitDataset from openrec.legacy.recommenders import WCML from openrec.legacy.utils.evaluators import AUC from openrec.legacy.utils.samplers import NPairwiseSampler os.system("wget https://s3.amazonaws.com/...
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from django.shortcuts import HttpResponse, redirect, render_to_response, render from django.conf import settings import json from django.core.exceptions import ValidationError from django.db.models import BooleanField, ImageField, FileField from django.db.models.fields.files import ImageFieldFile from PIL import Image ...
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#!/usr/bin/env python #encoding: utf8 import rospy, actionlib from std_msgs.msg import UInt16 from pimouse_ros.msg import MusicAction, MusicResult, MusicFeedback def write_freq(hz=0): bfile = "/dev/rtbuzzer0" try: with open(bfile, "w") as f: f.write(str(hz) + "\n") except IOError: ...
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#!/usr/bin/env python # Copyright 2014-2019 The PySCF Developers. 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 # # U...
[ "osirpt.sun@gmail.com" ]
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import web import hmac import application.models.model_logs import application.models.model_users render = web.template.render('application/views/logs/', base='master') model = application.models.model_logs model_users = application.models.model_users secret_key = "kuorra_key" def hash_str(s): return hmac.new(s...
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[ "chinmayvinchurkar24@gmail.com" ]
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# -*- coding: utf-8 -*- """ Created on Sun Nov 2 19:58:24 2014 @author: christian """ # perceptron algorithm to find a straight line separating two datasets. # uses pylab to draw graf. import sys import numpy import pylab import time def main(): # run through every datapoint to move the line closer to the c...
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import sys import os os.environ['KERAS_BACKEND'] = 'theano' #os.environ['KERAS_BACKEND'] = 'tensorflow' os.environ['THEANO_FLAGS'] = 'device=gpu0,optimizer=fast_run,force_device=True, allow_gc=False' cloudRoot = os.path.join('..','..','..','..') projroot = os.path.join('..','..') home = os.path.join(cloudRoot, '..') ...
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"""Copy Task NTM model.""" from attr import attrs, attrib, Factory import random import numpy as np import torch from torch import nn from torch import optim from model import Model from model import ModelParams class CopyTask(object): def __init__(self): self.model = CopyTaskModel self.param =...
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# Definition for a binary tree node. class TreeNode: def __init__(self, x): self.val = x self.left = None self.right = None class Solution: def maxDepth(self, root: TreeNode) -> int: def helper(node): if node is None: return 0 return 1 + ...
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from django.conf.urls import url from twviews import * urlpatterns = [ url(r'^(?:(?P<cat_id>\d+)/)?$', GoodListView.as_view(), name='index'), url(r'^good/(?P<good_id>\d+)/$', GoodDetailView.as_view(), name='good') ]
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- class Student(object): def __init__(self,name,score): self.name=name self.score=score def print_obj(self): print('obj.name=%s obj.score=%d' % (self.name,self.score)) print('对象调用') lisa=Student('lily',98) lisa.print_obj() print('内置属性') print("__dict__",lis...
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# -*- coding: utf-8 -*- """ Created on Sat Apr 17 19:11:57 2021 @author: emoody """ import pandas as pd class process_csv(): def __init__(self, file): self.df = file.transpose() #self.df.transpose() self.output = '' self.yesses = {'Y', 'y', 'Yes', 'yes','True', 'true',...
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x = int(input("Enter value of x:")) y = int(input("Enter value of Y:")) print("Before Swapping\n X=",x, "Y=",y) x= x+y y=x-y x=x-y print("After Swapping\n X=",x,"Y=",y)
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import env # modifies path import unittest import time from hardwarelibrary.communication import USBPort, TextCommand import usb.core class TestIntegraPort(unittest.TestCase): port = None def setUp(self): self.port = USBPort(idVendor=0x1ad5, idProduct=0x0300, interfaceNumber=0, defaultEndPoints=(1,2))...
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# Copyright 2018 the GPflow authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writi...
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#Python Dictionaries numbers = {n:('even' if n%2==0 else 'odd') for n in range(1,20)} print(numbers) ########## print('------------') ########## donations = dict(sam=25.0, lena=88.99, chuck=13.0, linuse=99.5, stan=150.0, lisa=50.25, harrison=10.0) total_donations = sum(donations.values()) print(tot...
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try: import pyttsx3 import datetime import speech_recognition as sr import wikipedia import webbrowser import os import random import smtplib except Exception as e: speak("something went wrong,Can't import library") dt=datetime.datetime.now() try: fh=open('C:\\Users\\user\\AppData\\Local\\Progr...
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"""added scopus ID field Revision ID: 5a9e6291a59c Revises: 42f544489b96 Create Date: 2019-03-25 07:05:06.087909 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = '5a9e6291a59c' down_revision = '42f544489b96' branch_labels = None depends_on = None def upgrade()...
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# -*- coding: utf-8 -*- # Define your item pipelines here # # Don't forget to add your pipeline to the ITEM_PIPELINES setting # See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html class CoinmarketcapPipeline(object): def process_item(self, item, spider): return item
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#!/usr/bin/env python import os import sys if __name__ == '__main__': os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'adjust_home_task.settings') from django.core.management import execute_from_command_line execute_from_command_line(sys.argv)
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#!/usr/bin/env python # coding=utf8 from . import DataBlock_pb2 import struct import xarray as xr import numpy as np import datetime as dt from .read_pup import ReadPup def calc_scale_and_offset(min_v, max_v, n=16): # stretch/compress data to the avaiable packed range if max_v - min_v == 0: ...
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from random import shuffle import numpy as np import torch from torch.autograd import Variable class Solver(object): default_adam_args = {"lr": 1e-4, "betas": (0.9, 0.999), "eps": 1e-8, "weight_decay": 0.0} def __init__(self, optim=t...
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# Airline Choice Model # Group 7 import pandas as pd import numpy as np from sklearn.model_selection import train_test_split from sklearn import metrics import statsmodels.api as sm from sklearn.metrics import * import statsmodels.formula.api as smf import random import matplotlib.pyplot as plt airport ...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Sun Oct 14 09:11:40 2018 @author: dnokes """ import numpy import pandas from numpy.core.umath_tests import inner1d from sklearn.ensemble import RandomForestClassifier from sklearn.preprocessing import Imputer from sklearn.model_selection import train_test_s...
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import gtk import helpers import math import time import Gpib import threading import __main__ DEVICENAME="E3631A5" class io_stream: def __init__(self, ui_target = None): self.ui_target = ui_target; return def register(self): self.lock = threading.Lock() self.lock.acquire...
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[]
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# Generated by Django 2.0.1 on 2018-01-12 19:52 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('golfer', '0004_auto_20180112_1922'), ] operations = [ migrations.AddField( model_name='golfer', name='board_member_p...
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# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ] operations = [ migrations.CreateModel( name='Environment', fields=[ ...
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eigil-git@obrestad.org
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lista=['janeiro', 'fevereiro', 'março', 'abril', 'maio', 'junho', 'julho', 'agosto', 'setembro', 'outubro', 'novembro', 'dezembro'] print (lista[int(input('numero do mes: '))-1])
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you@example.com
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import collections class SnakeGame(object): def __init__(self, width,height,food): """ Initialize your data structure here. @param width - screen width @param height - screen height @param food - A list of food positions E.g food = [[1,1], [1,0]] means the first fo...
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# -*- mode: python -*- block_cipher = None a = Analysis(['UACTest.py'], pathex=['E:\\PycharmProjects\\WindowGetTest'], binaries=[], datas=[], hiddenimports=[], hookspath=[], runtime_hooks=[], excludes=[], win_no_p...
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filename = 'pi_million_digits.txt' with open(filename) as file_object: lines = file_object.readlines() pi_string = '' for line in lines: pi_string += line.rstrip() birthday = input("Enter your birthday, in the form mmddyy: ") if birthday in pi_string: print("Your birthday appears in the first million digits of p...
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rayjohnson529@outlook.com
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from Tag_Params_List import Tag_Params_List from Children_List import Children_List from tools.add_indents import Formater class Html_Tag: def __init__(self, tag, id=None): self.tag = tag self.id = id self.tag_params_list = Tag_Params_List() self.text = '' se...
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from bs4 import BeautifulSoup import requests from datetime import date, datetime, timedelta import pymysql import dbconfig def daterange(date1, date2): for n in range(int((date2 - date1).days)+1): yield date1 + timedelta(n) def WebCrawling(days=5): web = "ettoday" #"ET TODAY" try: ...
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import io import itertools import unittest from torchaudio.utils import sox_utils from torchaudio.backend import sox_io_backend from torchaudio._internal.module_utils import is_module_available from parameterized import parameterized from torchaudio_unittest.common_utils import ( TempDirMixin, TorchaudioTestC...
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[]
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# -*- coding: utf-8 -*- """ Created on Sat May 27 18:35:05 2017 @author: Julien """ import numpy as np np.random.seed(123) # for reproducibility from keras.models import Sequential from keras.layers import Dense, Dropout, Activation, Flatten from keras.layers import Convolution2D, MaxPooling2D from keras.utils im...
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# cift sayilarin karesini hesaplayan program for t in range (0,10,2): print (t**2)
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from json_model import JsonModel import importlib def import_class(name): mod_path = '.'.join(name.split('.')[:-1]) cls_name = name.split('.')[-1] mod = importlib.import_module(mod_path) if hasattr(mod, cls_name): attr = getattr(mod, cls_name) if isinstance(attr, type): ret...
[ "simon.emmott@yahoo.co.uk" ]
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# -*- coding: UTF-8 -*- """ Created on 2014年10月13日 """ from hale.demo import DynamicPropertiesClass class HelpLibrary(object): ROBOT_LIBRARY_SCOPE = 'GLOBAL' ROBOT_LIBRARY_VERSION = '0.1' def setting_and_run(self, **args): """访问实例对象,动态设置属性 """ o = DynamicPropertiesClass() ...
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rat65sun@gmail.com
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import json from pathlib import Path from PIL import Image from util.dataset_logger import dataset_logger as logger from util.db.Wrappers import MongoWrapper as db from util.db.model import RawEntry, SanitizedEntry p = Path(__file__).parent / 'dump' / "dataset" sanimg = p / "images" db_wrapper = db.MongoWrapper() ...
[ "danamadorpe@gmail.com" ]
danamadorpe@gmail.com
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/blog/migrations/0002_comment.py
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# Generated by Django 2.2.20 on 2021-05-10 13:05 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('blog', '0001_initial'), ] operations = [ migrations.CreateModel( name='Comment', f...
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import numpy as np import cv2 from Figure_denoise import crop from pre_process import Landmarks if __name__ == '__main__': img_raw = cv2.imread('Data/Radiographs/01.tif', 0) print(np.shape(img_raw)) crop_img_ori = crop(img_raw, 1000, 500, 1000, 1000) # (y, x, xx, yy) #cv2.imshow('cropped', crop_img_ori)...
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import argparse import json import os import sys from jupyter_client.kernelspec import KernelSpecManager from IPython.utils.tempdir import TemporaryDirectory kernel_json = { "argv": [sys.executable, "-m", "codechecker_kernel", "-f", "{connection_file}"], "display_name": "CodeChecker", "language": "c++", }...
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from abc import ABCMeta, abstractmethod import Monstr.Core.DB as DB import Monstr.Core.Utils as Utils import Monstr.Core.Config as Config import Monstr.Core.Constants as Constants # ,----------------------. # |BaseNodule | # |----------------------| # |+string name | # |+obj table_schemas | # |-...
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import os import tarfile from six.moves import urllib # Python 2/3 compatibility tensorflow_models_url = "http://download.tensorflow.org/models/" encoder_dict = { 'inception_v3': 'inception_v3_2016_08_28.tar.gz', 'resnet_v1_101': 'resnet_v1_101_2016_08_28.tar.gz', 'resnet_v2_101': 'resnet_v2_101_2017_04_1...
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# Copyright 2021 University College London. 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 required by appl...
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import os import cv2 import PIL import numpy as np # PATH = "practice_images" PATH = "my_images" if PATH == "practice_images": scale = 2 else: scale = 3.88 LEFT_PATH = os.path.join(PATH, "Left Camera Images") leftList = os.listdir(LEFT_PATH) leftList.sort() RIGHT_PATH = os.path.join(PATH, "Right Camera Image...
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# cxstrategy.py # James Mithen # jamesmithen@gmail.com """ Cross exchange strategy. These inherit from the base classes in strategy.py. """ from betman import const, database, order, exchangedata, betlog from betman.strategy import strategy from betman.api.bdaq import bdaqapi # commission on winnings taken from bot...
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# import socket module from socket import * # In order to terminate the program import sys def webServer(port=13331): serverSocket = socket(AF_INET, SOCK_STREAM) #Prepare a server socket serverSocket.bind(("", port)) #Fill in start serverSocket.listen(1) #listen to a single connection #Fill ...
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import pipeline_run as run import time import pipeline_settings as settings def main(): start_time = time.time() times_dict = run.ocr_in() ocr_time = time.time() - start_time ocr_time = ocr_time / 60 print("--- %s minutes ---" % ocr_time) with open(settings.report_time_per_function, "w") as fi...
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# Embedded file name: ./upgradeMisc.py import math import subprocess import re import os import datetime import time import logging import shutil import glob from ast import literal_eval RED = '\x1b[31m' GREEN = '\x1b[32m' YELLOW = '\x1b[33m' RESETCOLORS = '\x1b[0m' def checkDiskspace(backupItemsList):...
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import sys input = sys.stdin.readline n = int(input()) p = list(map(int, input().split())) wcnt = 0 for i in range(n): if p[i] != i+1: wcnt += 1 if wcnt == 0 or wcnt == 2: print('YES') else: print('NO')
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#!/usr/bin/env python3 import sys print("Bonjour ", sys.argv[1], "!")
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# coding = utf -8 # 导入随机工具包 # 导入工具包的时候, 应该将导入的语句, 放在文件的顶部 # 因为, 这样可以方便下方的代码, 在任何需要的时候, 使用工具包的工具 import random # 从控制台输出要出的拳 -- 石头 (1) /剪刀 (2) /布 (3) player = int(input('请输入您要出的拳石头 (1) /剪刀 (2) /布 (3):')) # 电脑 随机 出拳 -- 先假定电脑只会出石头, 完成整体代码功能 computer = random.randint(1, 3) print('玩家选择的拳头是 %d - 电脑出的拳是 %d' % (player, comp...
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# -*- coding: utf-8 - # # This file is part of offset. See the NOTICE for more information. import fcntl import os import time def nanotime(s=None): """ convert seconds to nanoseconds. If s is None, current time is returned """ if s is not None: return s * 1000000000 return time.time() * 1000...
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import unittest from mockito import when, ANY from src import DuplicateImageDeleter from src.file_utils import FileNameLoader from src.image_utils import ImageHashComputer class TestDuplicateImageDeleter(unittest.TestCase): def test_should_mark_file3_for_deletion_which_is_duplicate_of_file1(self): image_...
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import os import tkinter as tk import tkinter.filedialog import json from make_dict import * left_data = None right_data = None debug = False now_select = "" def log(s): logarea.insert("end", f"{s}\n") def make_model_data(): log("模範解答を選択してください") file_path = tk.filedialog.askopenfilename( filety...
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import svmutil import numpy as np import os import SVM_jiang.ext.SVM_Classifier as classifier import LR.ext.Tester as tester import pickle home = 'C:/Users/peter/Documents/GitHub/SummerCamp2018/' f_train = open(home+'HOG/result/train.dat','rb') f_test = open(home+'HOG/result/test.dat','rb') x_train=pickle.load(f_tra...
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import torch # from arguments import get_args from model.language_model import TransformerLanguageModel, parallel_lm_logits from model.cross_entropy import parallel_cross_entropy class GPT2(torch.nn.Module): """GPT-2 Language model.""" def __init__(self, hidden_size, vocab_size, sequence_len...
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""" Имя проекта: 1-31 Номер версии: 1.0 Имя файла: Задача 15.py Автор: 2021 © А.И. Баскаков, Челябинск Лицензия использования: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/deed.ru) Дата создания: 23/05/2021 Описание: Задача 15. #версия Python: 3.9 """ import numpy as np N = 4 M = 5 H = np...
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import os def job_dir(settings): path = settings['JOBDIR'] if path and not os.path.exists(path): os.makedirs(path) return path
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# -*- coding: utf-8 -*- """ Created on Thu Jul 18 10:16:26 2013 @author: Ryan based on another implementation """ from RBMPlay import RBM, Trainer from utils import * from PIL import Image from scipy.misc import imsave from scipy.ndimage import gaussian_filter from scipy.cluster.vq import * #from MyError i...
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rrmhearts@gmail.com
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ckmishra/Nlp_chinese_english_smt
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#!/usr/bin/env python import optparse, sys, os, logging from collections import defaultdict import math import pickle #from datashape.typesets import maxtype optparser = optparse.OptionParser() optparser.add_option("-d", "--datadir", dest="datadir", default="../data", help="data directory (default=data)") opt...
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chandan_kumar_mishra@sfu.ca
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dardavar/ModernAlgebra
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from FFElement import FFElement, DEFAULT_CHARACTERISTIC def solver(coefficient_a, coefficient_b, p=DEFAULT_CHARACTERISTIC): """Find a,b from Fp which solve the expression (coefficient_a*a**3 + coefficient_b+b**2 !=0)mod p""" coefficient_a = FFElement(coefficient_a, p) coefficient_b = FFElement(coefficient...
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almogz10@gmail.com
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/photoz_metrics.py
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00mjk/euclid_phz_testing
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2023-06-28T06:48:02.201787
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#!/usr/bin/env python """ Jean coupon - 2018 scripts to analyse photo-z results """ from __future__ import print_function, division import os, sys import numpy as np import re import collections import matplotlib # matplotlib.use('agg') import matplotlib.pyplot as plt from scipy import interpolate from matplotlib...
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jean.coupon@gmail.com
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kangness/PythonTest
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#!/usr/bin/env python __author__ = 'kangness'
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510391707@qq.com
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/python-scripts/eventPayloadFormatter.py
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amishamuni/work-samples
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# Event Payload Formatter # # Given a text file with the JSON string for Event Payload, decipher it in a human readable way # # Relies on having csv files generated for a flat view on ID and event name # Future improvement could be to generate them via this script itself if they are not found # # Input : give your eve...
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amuni@amadeus.com
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/project_b/run.py
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[]
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ccdle12/Python-Package-Server-Example
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2022-12-14T11:00:14.434673
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"""Entry Point for the project_b app, serves a Flask API.""" from app import app app.config.from_object('config.DevelopmentConfig') if __name__ == '__main__': app.run(host='0.0.0.0')
[ "chris.coverdale24@gmail.com" ]
chris.coverdale24@gmail.com
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/CSForum/Messages.py
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[]
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Luc1103/CSForum
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2022-12-15T12:09:54.562420
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import tkinter as tk import ScrollableFrame as sf import mysql.connector #Connects to the database mydb = mysql.connector.connect( host = "localhost", user = "root", passwd = "sD6G7Bx@f8cve$i3", database = "forum" ) #Allows editing of the database mycursor = mydb.cursor() #Displays the sidebar of all your co...
[ "noreply@github.com" ]
noreply@github.com
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DonJons42/Astek-Projet-Tondeuse
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2020-04-20T01:18:55.908951
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# generated from catkin/cmake/template/pkg.context.pc.in CATKIN_PACKAGE_PREFIX = "" PROJECT_PKG_CONFIG_INCLUDE_DIRS = "".split(';') if "" != "" else [] PROJECT_CATKIN_DEPENDS = "".replace(';', ' ') PKG_CONFIG_LIBRARIES_WITH_PREFIX = "".split(';') if "" != "" else [] PROJECT_NAME = "mybot_localisation" PROJECT_SPACE_DIR...
[ "adsquall@gmail.com" ]
adsquall@gmail.com
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/backup/user_117/ch34_2019_08_28_17_09_17_697744.py
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[]
no_license
gabriellaec/desoft-analise-exercicios
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d = ("deposito inicial: ") j = ("taxa de juros: ") i = 0 while i < 23: t = d + (1 + j) ** i print ({t:.2f})
[ "you@example.com" ]
you@example.com
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/Sample Codes and Demo Programs/LastStickStanding.py
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[]
no_license
szehang/COM3103-AICode
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2021-10-26T02:18:46.816033
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from time import sleep ### Global variables move_count = 0 stick_count = 99 # Overriden in user input limit = 5 # Overriden in user input ### Functions def print_stick(): print("[", end="") for _ in range(stick_count): print ("\u25AE", end="") sleep(0.1) print("] {} stick(s) remaining".f...
[ "lamszehang@gmail.com" ]
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/SVDBias/SVDBias-pe.py
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[]
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qingkongmengnuan/BayesianRS
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2022-11-30T20:00:20.305454
2020-08-11T08:25:11
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# coding:utf-8 ''' @author: Jason.F @data: 2019.07.12 @function: Implementation: SVDBias Datatset: Pinterest-20 Evaluation: hitradio,ndcg Squared loss function with explicit rating. ''' import pandas as pd import numpy as np import math from collections import defaultdic...
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sharpsword@163.com
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vijayRT/reSearch
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2022-12-15T07:42:46.153411
2020-01-30T21:06:37
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2022-12-08T01:16:57
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835
py
from flask import Flask from flask import request from searcher import Search from flask_cors import CORS, cross_origin app = Flask(__name__) cors = CORS(app) search = Search() app.config['CORS_HEADERS'] = 'Content-Type' @app.route("/search") @cross_origin() def getSearchResults(): return (search.searchdblp(reques...
[ "vijayrajasekar1@gmail.com" ]
vijayrajasekar1@gmail.com
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/exercise_funktions/perfect_number.py
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[]
no_license
gyurel/SoftUni-Basics-and-Fundamentals
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2023-07-05T11:16:58.966841
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2021-08-31T19:25:40
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def perfect_number(number): list_of_devisors = [] # for devisor in range(1, number): # if number % devisor == 0: # list_of_devisors.append(devisor) # # if sum(list_of_devisors) == number: # print("We have a perfect number!") # else: # print("It's not so perfect.") list_of_devisors = [devis...
[ "gyurel@yahoo.com" ]
gyurel@yahoo.com
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/roles/migrations/0001_initial.py
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[]
no_license
fuhrer196/djangoRoles
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refs/heads/master
2020-12-25T18:19:59.526004
2015-06-28T12:20:15
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# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ] operations = [ migrations.CreateModel( name='role', fields=[ ('id', models.AutoField(verbose...
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/internfile.py
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[]
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MuniPrasannaKumarM/miskaa
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import pymongo from flask import Flask, request, render_template from flask import session as web_session client = pymongo.MongoClient("mongodb://localhost:27017/") database = client["intern"] collection = database["miskaa"] app = Flask(__name__) app.secret_key = 'super secret key' # importing and initializing ...
[ "noreply@github.com" ]
noreply@github.com