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3325431
<gh_stars>10-100 # from datetime import date from django import template # from django.conf import settings # from demo.models import PersonPage, BlogPage, EventPage, Advert, Page register = template.Library() @register.assignment_tag(takes_context=True) def get_site_root(context): """ Gets the root page for...
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3261218
""" Prediction models. """ import typing as t import numpy as np import tensorflow as tf import embed import data import op import nn from nn.base import Model, WeightedSoftmaxCrossEntropyMixin from util.log import exec_log as log from util.debug import * class ESIM(WeightedSoftmaxCrossEntropyMixin, Model): ...
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#!/usr/bin/python3 """ Given a non-empty array containing only positive integers, find if the array can be partitioned into two subsets such that the sum of elements in both subsets is equal. """ from collections import defaultdict class Solution: def canPartition(self, nums): """ 0/1 Knapsack pro...
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<reponame>swapnilsparsh/HacktoberFest2020 # pass list in a function def count(lst): even = 0 odd = 0 for i in lst: if i % 2 == 0: even += 1 else: odd += 1 return even,odd lst = [] for i in range(1,6): app = int(input("Enter the "+ str(i)+ " no. ")) lst....
StarcoderdataPython
194162
<reponame>Joeffison/MachineLearningBuilder # -*- coding: utf-8 -*- template_model_creation = """import pandas as pd from sklearn.model_selection import train_test_split {model_import} as ChosenMLAlgorithm from sklearn.metrics import accuracy_score, confusion_matrix import pickle csv_file = "{csv_file}" model_file =...
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# -*- coding: utf-8 -*- """ Created on Wed Feb 24 19:08:52 2021 @author: majdi """ import os import sys import subprocess from setuptools import setup, find_packages from distutils.version import LooseVersion from neorl.version import version import warnings warnings.filterwarnings("ignore", category=De...
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<reponame>g10f/sso<filename>apps/smart_selects/form_fields.py<gh_stars>1-10 from django.apps import apps from django.forms import ChoiceField from django.forms.models import ModelChoiceField from smart_selects.widgets import ChainedSelect class ChainedModelChoiceField(ModelChoiceField): def __init__(self, app_nam...
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3286165
<reponame>TomMakkink/transformers-for-rl<gh_stars>1-10 # import math # import random # # import numpy as np # import torch # import torch.nn.functional as F # import torch.optim as optim # # from agents.agent import Agent # from agents.replay_buffer import ReplayBuffer # from configs.dqn_config import dqn_config # from...
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<filename>website/web/__init__.py #!/usr/bin/env python3 # -*- coding: utf-8 -*- import base64 from zipfile import ZipFile, ZIP_DEFLATED from io import BytesIO import os from pathlib import Path from datetime import datetime, timedelta import json import http import calendar from flask import Flask, render_template, ...
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""" :mod:`zsl.application.modules.cache_module` ------------------------------------------- """ from __future__ import unicode_literals import logging from injector import Binder, Module, singleton from zsl.cache.cache_module import CacheModule from zsl.cache.id_helper import IdHelper from zsl.cache.redis_cache_modu...
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from typing import Tuple import torch from torch_nlp_utils.common import Registrable from vae_lm.models.base.torch_module import TorchModule class Flow(TorchModule, Registrable): """Generic Class for Generative Flow.""" def forward( self, z: torch.Tensor, mask: torch.Tensor = None ) -> Tuple[torc...
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<reponame>xinglun/TestFramework<filename>sutie/common/test_menu.py<gh_stars>0 import pytest import allure from util.common.login import login from util.yaml.yaml_util import YamlUtil from util.request.requestSend import send_request class TestMenu: @allure.description("menu test") @allure.severity("normal") # b...
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# Copyright 2019 Indiana Biosciences Research Institute (IBRI) # # 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 = n^2 + an + b; |a| < 1000 and |b| < 1000 # b has to be odd, positive and prime as we are testing consecutive values for n # a has to be negative otherwise the difference between consecutive x's will be huge! def is_prime(num) : if (num <= 1) : return False if (num <= 3) : return True...
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<gh_stars>10-100 import asyncio from pprint import pprint from aiohttp import ClientSession, TCPConnector async def fetch_url(session, url): """return html body of url""" async with session.get(url, timeout=60 * 60) as response: return await response.text() async def fetch_all_urls(session, urls): ...
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""" Copyright 2008-2009 <NAME> This file is part of PyCAM. PyCAM is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. PyCAM is distributed in t...
StarcoderdataPython
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<filename>main.py<gh_stars>0 import string while True: user_inp = str(input("Enter Password: ")) s1 = string.ascii_lowercase s2 = string.ascii_uppercase s3 = string.digits s4 = string.punctuation if s1[0:2] and s2[0:2] and s3[0:2] and s4[0:2] in user_inp: print("Password Strong!...
StarcoderdataPython
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import numpy as np class NeuralNetwork: def __init__(self, input_nodes, hidden_nodes, output_nodes, learning_rate, weights_input_to_hidden=None, weights_hidden_to_output=None): self.input_nodes = input_nodes self.hidden_nodes = hidden_nodes self.output_nodes = output_nodes ...
StarcoderdataPython
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#!/usr/bin/env python # -*- coding: utf-8 -*- # @Date : 2017-11-6 23:21:21 # @Author : poplar. (<EMAIL>) # @Link : http://white-poplar.github.io # @Version : $Id$ import traceback import lib.Tool from Action import Action import time import threading def main(): print("当前时间", time.strftime('%Y-%m-%d %H:%M...
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<reponame>ChaoTzuYin/AutoPPT # -*- coding: utf-8 -*- """ @author: ChaoTzuYin """ from pptx import Presentation import numpy as np import io from PIL import Image import copy class info_keeper(): def __init__(self, slide_idx, shape_idx, left, top, width, height): self.slide_idx = slide_idx self....
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<reponame>teald/vplanet<filename>tests/IoHeat/test_IoHeat.py from benchmark import Benchmark, benchmark import astropy.units as u import pytest @benchmark( { "log.initial.io.PowerEqtide": { "value": 9.380954e13, "unit": u.kg * u.m ** 2 / u.sec ** 3, }, "log.initial....
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def aumentar(preco=0, taxa=0, formatado=False): res = preco + (preco * taxa / 100) return res if formatado is False else moeda(res) def diminuir(preco=0, taxa=0, formatado=False): res = preco - (preco * taxa / 100) return res if formatado is False else moeda(res) def dobro(preco=0, formatado=False):...
StarcoderdataPython
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<filename>python/moderation_text_token_demo.py # -*- coding:utf-8 -*- from moderation_sdk.gettoken import get_token from moderation_sdk.moderation_text import moderation_text from moderation_sdk.utils import init_global_env if __name__ == '__main__': # Services currently support North China-Beijing(cn-north-4),Chi...
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"""Emulates a Philips Wake-up Light / sunrise. This cycles through a sequence of RGB tuples and then linearily interpolates them in HSV color space as time proceeds. The routine can be triggered a service `pyscript.wake_up_light`. The sequence is canceled by turning the light on and off. """ import sys sys.path.appe...
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from blockchain_users_generator import generator as blockchain_users_generator users = blockchain_users_generator.generate(1000) users_dict = [user.to_dict() for user in users] print("\n\n------model------\n", users[0]) print("\n\n------dict-------\n", users_dict[0])
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# pylint: disable=C0303 import os import numpy as np import h5py import matplotlib.pyplot as plt from math import sqrt from array import array from copy import deepcopy import pickle import time from keras.models import load_model from collections import namedtuple from sklearn import utils from keras.utils import to_...
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<reponame>letuananh/pyinkscape import logging import platform import subprocess from pathlib import Path WIN_EXE_POTENTIAL_PATHS = [ "C:\\Program Files\\Inkscape\\inkscape.exe", "C:\\Program Files\\Inkscape\\bin\\inkscape.exe" ] if platform.system() == "Windows": INKSCAPE_PATH = None for _potential_pat...
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class Solution: def minFallingPathSum(self, A): """ :type A: List[List[int]] :rtype: int """ rows = len(A) if rows == 0: return 0 cols = len(A[0]) if cols == 0: return 0 if rows == 1: return min(A[0]) ...
StarcoderdataPython
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<filename>Homework/2019/Task1/6/code/hyperparams.py<gh_stars>0 # -*- coding: utf-8 -*- #/usr/bin/python2 ''' By <NAME>. <EMAIL>. www.github.com/kyubyong/neural_chinese_transliterator ''' class Hyperparams: '''Hyper parameters''' isqwerty = True # If False, 10 keyboard layout is assumed. ...
StarcoderdataPython
3213936
<reponame>nbeaver/fonts_with_chars<filename>fonts_with_chars.py #! /usr/bin/env python3 import argparse import fontconfig def get_fonts_with_chars(chars): for font_file in fontconfig.query(): font = fontconfig.FcFont(font_file) if all([font.has_char(char) for char in chars]): yield fon...
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3276925
<reponame>joshbaptiste/media_cache_cluster import os import configparser import psutil import scanner def parseConfig(configFile): """ Parses config file """ options = [] config = configparser.ConfigParser() config.read(configFile) if config.has_section('global'): sections = config.sectio...
StarcoderdataPython
198640
from django.conf import settings # Port used to communicate with Discord Proxy DISCORDNOTIFY_DISCORDPROXY_PORT = getattr( settings, "DISCORDNOTIFY_DISCORDPROXY_PORT", 50051 ) # When set to True, only superusers will be get their notifications forwarded DISCORDNOTIFY_SUPERUSER_ONLY = getattr(settings, "DISCORDNOTI...
StarcoderdataPython
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# # littletable_demo.py # # Copyright 2010, <NAME> # from __future__ import print_function from littletable import Table from collections import namedtuple import sys Customer = namedtuple("Customer", "id name") CatalogItem = namedtuple("CatalogItem", "sku descr unitofmeas unitprice") customers = Table("customers") ...
StarcoderdataPython
3310931
<gh_stars>0 import logging from models.datamodel import DataModel from models.datamodel import TextDataRow import fileutils import time import csv_formatter from collections import Counter from enum import Enum from nltk.stem.snowball import SnowballStemmer logger = logging.getLogger() class ProcessMode(Enum): ...
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1778560
import pandas as pd import numpy as np file = pd.read_csv('Non_US_Cities.csv') for country in file.Country.unique(): print(country) temp = file[file.Country == country] master = pd.DataFrame() for i, row in temp.iterrows(): print(row.City) df = pd.read_csv(row['Reviews Link'...
StarcoderdataPython
35787
<reponame>MarshallRawson/NaviGator<filename>mission_control/navigator_missions/navigator_missions/start_gate_marshall.py #!/usr/bin/env python from __future__ import division import txros import numpy as np import mil_tools from mil_misc_tools.text_effects import fprint from navigator import Navigator import math from ...
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<reponame>mverleg/django_misc import settings from django.http import HttpResponseRedirect def secure_redirect(request, url = None): """ turns a request into a securified redirect """ if url is None: url = request.build_absolute_uri(request.get_full_path()) url = request.build_absolute_uri(url) url = url.re...
StarcoderdataPython
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<gh_stars>1-10 #!/usr/bin/env python3 # -*- coding: utf-8 -*- """bibgrep: Grep for bib(la)tex files. To get all articles where the author contains 'Johnson' and the article is from 2010 or beyond: >>> bibgrep --entry="article" --field="author~Johnson" --field="year>=2010" The key, entry and field arguments take str...
StarcoderdataPython
3277576
<gh_stars>10-100 import argparse import torch from copy import deepcopy from pprint import pprint try: from apex.parallel import DistributedDataParallel as DDP except ImportError: pass from torch.nn.parallel import DistributedDataParallel as torch_DDP from zerovl.core import init_device, cfg, update_cfg from...
StarcoderdataPython
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s = 9 print(f'O valor da variável s é {s}')
StarcoderdataPython
102233
#%% from user_agents import parse user_agent = "Mozilla/5.0 (Linux; Android 10; SM-N960F Build/QP1A.190711.020; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/78.0.3904.62 XWEB/2889 MMWEBSDK/20210902 Mobile Safari/537.36 MMWEBID/1696 MicroMessenger/8.0.15.2001(0x28000F41) Process/to" ua = parse(user_a...
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import time from tasks.capp import app from others.affine_applications import MoveApps @app.task(name="sdc.move11", bind=True) def task_1(self, x): time.sleep(1) return MoveApps(":move", x).foo() @app.task(name="sdc.move12", bind=True) def task_2(self, x): return MoveApps(":move", x + 1).foo()
StarcoderdataPython
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<reponame>umarcor/litex<filename>test/test_led.py # # This file is part of LiteX. # # Copyright (c) 2022 <NAME> <<EMAIL>> # SPDX-License-Identifier: BSD-2-Clause import unittest from migen import * from litex.soc.cores.led import WS2812 class TestWS2812(unittest.TestCase): test_clk_freqs = [75e6, 50e6, 25e6] ...
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482
<filename>hypnettorch/data/timeseries/preprocess_audioset.py #!/usr/bin/env python3 # Copyright 2020 <NAME> # # 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...
StarcoderdataPython
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import gemmi import unittest from swamp.utils import * from conkit.core import ContactMap, Contact class UtilsTestCase(unittest.TestCase): def test_1(self): contact_map = ContactMap("test") contact_map.add(Contact(1, 4, 1.0)) contact_map.add(Contact(2, 4, 1.0)) contact_map.add(Con...
StarcoderdataPython
159829
<reponame>petrLorenc/Labelling-Tool<filename>app/modules/loader/model_utils.py import numpy as np import torch class ModelUtils: """ Group of function to help work with embeddings and models. """ @staticmethod def load_glove_mapping(path): """ creates a dictionary mapping words t...
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<gh_stars>1-10 #!/usr/bin/env python __tempdir__ = '/tmp'
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<filename>src/main.py import src.preprocessing.preprocessing as prep import src.classification.classification as classification if __name__ == '__main__': # Apply preprocessing steps and generate features then save prep.main() # Run classification algorithms to predict kinship relations classificatio...
StarcoderdataPython
1703473
<filename>book/book/items.py #!/usr/bin/env python # -*- coding: utf-8 -*- from scrapy import Item, Field class Subject(Item): douban_id = Field() type = Field() class Meta(Item): douban_id = Field() slug = Field() name = Field() sub_name = Field() alt_name = Field() cover = Field()...
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<gh_stars>0 # Import system libraries import os import sys # Import 3rd party libraries import pytest # Import custom libraries sys.path.append(os.path.join(os.path.dirname(__file__), "../../../")) import lib.common.type_validator as type_validator class TestBaseValidator(object): def test_base_validator_is_no...
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#!/usr/bin/env python3 from functools import lru_cache from typing import NamedTuple, Dict, Any from datetime import datetime from pathlib import Path import json import pytz from mycfg import paths # TODO Json type? # TODO memoised properties? # TODO lazy mode and eager mode? # lazy is a bit nicer in terms of more ...
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#Enquiry Form name=input('Enter your First Name ') Class=int(input('Enter your class ')) school=input('Enter your school name ') address=input('Enter your Address ') number=int(input('Enter your phone number ')) #print("Name- ",name,"Class- ",Class,"School- ",school,"Address- ",address,"Phone Number- ",number,sep='\n')...
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nome = str(input('Insira um nome aqui: ')).strip().upper() noma = nome.split() nom1 = 'SILVA' in noma print('A pessoa tem o nome Silva?: {}'.format(nom1))
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import aiohttp import asyncio import json # global dict settings urls = { "shezheng": "http://", "shehuang": 'http://', } # NOTE: can be remove in productive code # this is ok too # form = aiohttp.FormData() # form.add_field('image', # open('/home/mory/data/face_test/10.jpg', 'rb'), # ...
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# -*- coding: utf-8 -*- # Generated by Django 1.11.8 on 2017-12-25 14:41 from __future__ import unicode_literals from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('app', '0004_auto_20170105_...
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# -*- coding: utf-8 -*- # Copyright 2020 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or...
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# Generated by Django 4.0.1 on 2022-04-07 01:21 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('model_api', '0005_remove_order_datetimecreated_alter_order__id_and_more'), ] operations = [ migrations.AddField( model_name='ord...
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#!/usr/bin/env python """ The mosaic QGraphicsView. This is QGraphicsView in the mosaic UI tab. Hazen 10/18 """ import os from PyQt5 import QtCore, QtGui, QtWidgets #import storm_control.steve.qtMultifieldView as multiView import storm_control.steve.coord as coord import storm_control.steve.steveItems as steveItems ...
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from typing import Callable, Optional import torch from torch import nn import constants from rl_multi_agent import MultiAgent from rl_multi_agent.experiments.experiment import ExperimentConfig from rl_multi_agent.furnmove_episode_samplers import FurnMoveEpisodeSampler from rl_multi_agent.furnmove_episodes import Fur...
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<gh_stars>1-10 # # Copyright 2012 <NAME> # # 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 ...
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#! /usr/bin/env python # run this test against an instance of uwsgi for websockets from nose import tools import threading from websocket import create_connection class WebsocketClient(threading.Thread): """Simulate a websocket client""" def __init__(self, websocket_url): self.websocket_url = websocke...
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import os from os import path from os.path import join import sys import json import printj import pyjeasy.file_utils as f import cv2 from tqdm import tqdm PATH = "/home/jitesh/sekisui/bolt/hexagon_bolts" OUTPUT_PATH = "/home/jitesh/sekisui/bolt/cropped_hexagon_bolts" f.make_dir_if_not_exists(OUTPUT_PATH) json_list =...
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<reponame>alirezaghey/leetcode-solutions from functools import cache class Solution: # iterative solution # TC: O(n) # SC: O(1) def numTilings(self, n: int) -> int: dp = [1,1,2] if n <= 2: return dp[n] MOD = 1_000_000_007 for _ in range(2, n): ...
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#!/usr/bin/python # -*- coding: utf-8 -*- import unittest import httpretty from pyfakefs import fake_filesystem_unittest from click import UsageError, ClickException from mock import Mock, MagicMock, patch from requests.exceptions import SSLError from cloudshell.rest.api import FeatureUnavailable from shellfoundry.c...
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from .csv_rule import CSVRule from flask import Flask app = Flask(__name__) class limitAcuityRule(CSVRule): # def __init__(self, name_in_csv, node_id): # super().__init__(name_in_csv, node_id) def __init__(self, name_in_csv, allowed_acuity, node_id): super().__init__(name_in_csv, node_id) ...
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""" AlexNet 模型 本模型默认总参数量[参考基准:cifar10]: Total params: 24,769,290 Trainable params: 24,768,586 Non-trainable params: 704 本模型默认总参数量[参考基准:ImageNet]: Total params: 62,379,752 Trainable params: 62,379,048 Non-trainable params: 704 """ from hat.models.advanc...
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#!/usr/bin/python import time for x in xrange(0,10): print x time.sleep(2);
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# ============================================================================== # Copyright 2020 Google LLC # # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/li...
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<reponame>zhigangjiang/LGT-Net """ @Date: 2021/07/18 @description: """ import os import models import torch.distributed as dist import torch from torch.nn import init from torch.optim import lr_scheduler from utils.time_watch import TimeWatch from models.other.optimizer import build_optimizer from models.other.criter...
StarcoderdataPython
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#!/usr/bin/env python import yaml from pprint import pprint as pp from napalm import get_network_driver import requests from requests.packages.urllib3.exceptions import InsecureRequestWarning requests.packages.urllib3.disable_warnings(InsecureRequestWarning) # Read YAML file with open("my_devices.yml", 'r') as strea...
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from .__init__ import * from ..__init__ import Generator def percentageFunc(maxValue=99, maxpercentage=99): a = random.randint(1, maxpercentage) b = random.randint(1, maxValue) problem = f"What is {a}% of {b}?" percentage = a / 100 * b formatted_float = "{:.2f}".format(percentage) solution = f...
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from jupyter_client import KernelManager import queue from jupyter_client.manager import run_kernel class MyKernel(): def __init__(): kernel = KernelManager() kernel.start_kernel() client = = km.client() def run_code(self, code): print("executing code: " + code) ...
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#!/usr/bin/python3 # ================================================== """ File: RMedian - Unittest - Phase 1 Author: <NAME> """ # ================================================== # Import import math import random import pytest # ================================================== # Phase 1 def phase1(X, k, d):...
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from flask_wtf import FlaskForm from wtforms import TextField from wtforms.validators import Required, Email, Length from app.jobs.models import Jobs from app import db class RegisterJobsForm(FlaskForm): name = TextField(validators=[Required()]) address = TextField()
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import json from jwkest import BadSignature from jwkest.jwk import SYMKey from jwkest.jws import NoSuitableSigningKeys from jwkest.jwt import JWT from oic.oic import OIDCONF_PATTERN from oic.oic.message import IdToken, ProviderConfigurationResponse from oic.utils.keyio import KeyJar, KeyBundle import requests class...
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<gh_stars>0 #!/usr/bin/env python # -*- coding: UTF-8 -*- from __future__ import print_function import os.path as op import sys import logging import string from collections import defaultdict from itertools import product, combinations from jcvi.formats.blast import BlastLine from jcvi.formats.fasta import Fasta fr...
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import os from biicode.client.dev.cmake.cmaketool import CMakeTool from biicode.common.model.blob import Blob from biicode.common.utils.file_utils import save_blob_if_modified, save, load_resource from biicode.client.dev.cpp import DEV_CPP_DIR default_cmake = """ ADD_BII_TARGETS() ###################################...
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<gh_stars>1-10 # -*- coding:utf-8 -*- # Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved. # This program is free software; you can redistribute it and/or modify # it under the terms of the MIT License. # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; wi...
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<gh_stars>100-1000 # Copyright 2016-present CERN – European Organization for Nuclear Research # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org...
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# simple benchmark from generator import * import time # number of simulated photons N = int(5E7) t1 = time.time() spectrum = Etalon() spectrograph = MaroonX() generate_rv_series(spectrograph, spectrum, [0.], photons_per_spectrum=N) t2 = time.time() print("Total time for tracing: {:.2f} s".format(t2-t1)) print("Simul...
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"""An implementation of SegNet (and Bayesian alternative).""" from keras.applications.vgg16 import VGG16 from keras.layers import Activation from keras.layers import BatchNormalization from keras.layers import Conv2D from keras.layers import Dropout from keras.layers import Input from keras.layers import Lambda from ke...
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import pytest @pytest.mark.parametrize("cli_options", [ ('-k', 'notestdeselect',), ]) def test_autoexecute_yml_keywords_skipped(testdir, cli_options): yml_file = testdir.makefile(".yml", """ --- markers: - marker1 - marker2 --- - provider: python type: assert expression: "1" """) assert yml_fi...
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import itertools import logging import sys import numpy as np import torch import torch.nn as nn import torch.nn.functional as F import torchvision from sklearn import metrics from torch.utils.data import DataLoader, Dataset from torchvision import models from model import CompatModel from polyvore_dataset import Cat...
StarcoderdataPython
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""" Common tools """ __version__ = "2.0.0" from .config import Config, parse_config # noqa from .errors import Error, InvalidConfig # noqa from .executor import Task, run_sequence, ExecutorFailed # noqa from .groups import GroupList, Group # noqa from .groups import GroupNotFound, UnknownElement as UnknownGroupEl...
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<reponame>prachir1501/NeuralDater<filename>helper.py<gh_stars>10-100 import numpy as np, sys, unicodedata, requests, os, random, pdb, requests, json, gensim import matplotlib.pyplot as plt, uuid, time, argparse, pickle, operator import logging, logging.config, itertools, pathlib import scipy.sparse as sp from collecti...
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<filename>ddi_search_engine/Bio/config/FormatRegistry.py # Copyright 2002 by <NAME>, <NAME>. All rights reserved. # This code is part of the Biopython distribution and governed by its # license. Please see the LICENSE file that should have been included # as part of this package. # This is based on some older code b...
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import unittest from models.readingtip import ReadingTip from models.tag import Tag from models.user import User class TestReadingTip(unittest.TestCase): def setUp(self): self.user = User("maija", "jahph5Ie") def test_constructor_sets_fields_correctly(self): tags = [Tag("kirjat"), Tag("maksull...
StarcoderdataPython
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# Generated by Django 2.2.2 on 2019-06-26 14:54 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('favouritesapi', '0001_initial'), ] operations = [ migrations.AddField( model_name='category', name='category_count',...
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from rest_framework.response import Response from rest_framework import views from .utils import searcher class SearchView(views.APIView): def get(self, request, format=None): query_str = request.query_params.get('q', None) if not query_str: return Response(status=400, data=dict(me...
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<filename>AtC_Beg_Con_071-080/ABC078/B.py<gh_stars>0 x, y, z = map(int, input().split()) i = 0 while x - (y + z) * i > 0: i += 1 t = x - (y + z) * (i - 1) if t >= z: print(i - 1) else: print(i - 2)
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<filename>libweasyl/libweasyl/alembic/versions/8e98a1be126e_add_index_on_submission_popularity_score.py """Add index on submission popularity score Revision ID: 8e98a1be126e Revises: <PASSWORD> Create Date: 2019-10-24 17:06:22.092041 """ # revision identifiers, used by Alembic. revision = '8e98a1be126e' down_revisio...
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# Copyright (c) 2019-2020 <NAME> # License: MIT License # Created 2019-02-15 from typing import TYPE_CHECKING, Tuple, Sequence, Iterable, cast, List, Union import array import copy from contextlib import contextmanager from ezdxf.math import Vector, Matrix44 from ezdxf.math.transformtools import OCSTransform, NonUnifor...
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<filename>gen2-custom-models/concat.py import numpy as np import cv2 import depthai as dai SHAPE = 300 p = dai.Pipeline() p.setOpenVINOVersion(dai.OpenVINO.VERSION_2021_4) camRgb = p.create(dai.node.ColorCamera) camRgb.setPreviewSize(SHAPE, SHAPE) camRgb.setInterleaved(False) camRgb.setColorOrder(dai.Col...
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<gh_stars>0 import sys import json from df import df_worklist, ANALYSES, fmt, interp from form_blocks import form_blocks import cfg from cfg_to_code import cfg_to_code from util import fresh def br_removal(blocks): in_, out = df_worklist(blocks, ANALYSES['cprop']) # overwirte blocks preds, succs = cfg.edge...
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from ._movement import Movement from .path import MovementPath from .paths import MovementPaths
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#!/usr/bin/env python # -*- coding: utf-8 -*- # # Generated from FHIR 0.5.0.5149 (http://hl7.org/fhir/StructureDefinition/SearchParameter) on 2015-07-06. # 2015, SMART Health IT. from . import contactpoint from . import domainresource from . import fhirdate from . import fhirelement class SearchParameter(domainre...
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<reponame>LeeDongGeon1996/Stock.Indicators.Python<filename>stock_indicators/indicators/adx.py from typing import Iterable, Optional, TypeVar from stock_indicators._cslib import CsIndicator from stock_indicators._cstypes import List as CsList from stock_indicators.indicators.common.helpers import RemoveWarmupMixin from...
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#!/usr/bin/python3.4 # -*-coding:Utf-8 -* '''module to manage Rendering Options''' import xml.etree.ElementTree as xmlMod import os class Options: '''class to manage Rendering Options''' RGBA_AVAILABLE = ['IRIS', 'PNG', 'JPEG2000', 'TARGA', 'DPX', 'OPEN_EXR_MULTILAYER', 'OPEN_EXR', 'HDR' ] def __init__(self, xm...
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# XXX depends on internet connectivity, so not run as part of standard tests from __future__ import absolute_import, division, print_function def exercise(): from mmtbx.wwpdb import rcsb_web_services lysozyme = """<KEY>""" homologs = rcsb_web_services.sequence_search(lysozyme, d_max=2.0) assert (len(homologs...
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import requests import json import ConfigParser class LabelManager: def __init__(self, config): """ :param ConfigParser.RawConfigParser config: read config file """ self.nextcloudBaseUrl = 'https://api.github.com/repos/nextcloud/' config.read('github.cfg') self.aut...
StarcoderdataPython