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import argparse import os import sys import matplotlib.pyplot as plt import numpy as np import torch import torch.nn.functional as F from torch import nn, optim from model import MyAwesomeModel class TrainOREvaluate(object): """ Helper class that will help launch class methods as commands from a single ...
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''' All Blueprint routes regarding rendering ag templates ''' from flask import Blueprint, render_template from app.models.ag import AG, AGSchema, AGSchemaIntern, AGMessageSchema from app.models import db from app.util import requires_auth from app.util.assocations import requires_mentor, requires_membership, requires...
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<gh_stars>1-10 """ These settings are only needed if you are planning to push to S3, GitHub or data.world. If you only are only saving to local files, then these are not needed. """ S3_BUCKETS = { # 'bucket': name of the bucket # 'key': syntax: a_folder/another_folder # # For the 'scrub' bucket, one su...
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<reponame>pbh/pybrid<gh_stars>1-10 import pybrid import os class WolffhermanReport(pybrid.PybridReport): AUTHOR = 'isabellamills' NAME = 'wolffhermanreport' GROUPS = ['bauchsauer', 'group1'] def write(self, output_dir): f = file(os.path.join(output_dir, 'index.html'), 'w') f.write...
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linkedin_email = # place your linkedin login email linkedin_password = # place your linkedin login password
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import numpy as np import torch import torch.nn as nn def aggr_by_one(model, index_list=None): if not hasattr(model, 'aggr_mask'): model.aggr_mask = dict() if index_list is None: index_list = model.conv_index[1:-1] for ind in index_list: W = model.features[ind].weight.data ...
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<filename>stupidfuckingbot.py #i have no idea wtf i am doing import os import discord import configparser import random from discord.ext import commands config = configparser.ConfigParser() config.read('settings.ini') client = commands.Bot(command_prefix = 'l.') frogdir = "animals/frog" @client.event async def on_re...
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<filename>rest_registration/api/views/__init__.py<gh_stars>100-1000 from .change_password import change_password # noqa from .login import login, logout # noqa from .profile import profile # noqa from .register import register, verify_registration # noqa from .register_email import register_email, verify_email # n...
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<reponame>aiddun/jazzCNN import numpy as np from numpy import random import glob import scipy.io.wavfile np.random.seed(4) def preprocess(periods, testCategoryNum): periodList = periods catNum = len(periodList) def createpathlist(): print("Loading file paths.") x = [] y = [] ...
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<filename>filters.py from astropy.io import fits import numpy as np from catalog_builder import build_catalog from astropy.table import Table hdu_list = fits.open("data/magphys_in.fits") #print(hdu_list.info()) #print(hdu_list[1].header) #print(hdu_list[1].columns.info()) #print(hdu_list[1].data) data_field = hdu_lis...
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import asyncio import json import logging import os import re import shutil import string from collections import Counter from dataclasses import dataclass, asdict, field from random import random from typing import List, Optional, Dict, Generator import aiofiles import github import time import github_util git_hub ...
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#!/usr/bin/python2.5 # Copyright (C) 2007 Google 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 la...
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<reponame>zbowling/mojo<filename>mojo/tools/testing/mojom_fetcher/mojom_gn_tests.py # Copyright 2015 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. import io import os.path import unittest from fakes import FakeMojomFile...
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<filename>year_2020/day_18_2020.py from typing import List from operator import add, mul from util.helpers import solution_timer from util.input_helper import read_entire_input data = read_entire_input(2020,18) def parse(data) -> List[List[str]]: return [tokenise(element) for element in data] def tokenise(exp: s...
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from .fixtures import * from tenable.errors import * def test_event_field_name_typeerror(api): with pytest.raises(TypeError): api.audit_log.events((1, 'gt', '2018-01-01')) def test_event_filter_operator_typeerror(api): with pytest.raises(TypeError): api.audit_log.events(('date', 1, '2018-01-01...
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""" *Attribute-Exact-Value-Select* Select based on attribute value. """ from abc import ABCMeta from ._select import AttributeValueSelect __all__ = ["AttributeExactValueSelect"] class AttributeExactValueSelect( AttributeValueSelect, ): __metaclass__ = ABCMeta
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import datetime import pandas as pd from ut_calendar_scraper.holiday import Holiday class Semester: def __init__(self,title,start_year,start_month,start_day,end_year,end_month,end_day,holidays=[]): self.set_title(title) self.set_start_date(start_year,start_month,start_day) self.set_end_date...
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from pyinspect import Report from pyinspect._colors import orange, mocassin from rich.bar import Bar from rich.color import Color from .note import Note from ._metadata import make_note_metadata class Todo(Note): def __init__(self, note_name, raise_error=True): """ A special type of note for ...
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<filename>server/core/authMech/jwt.py<gh_stars>0 """ This is Json Web Token(JWT) module for authorization mechanism in endpoints/ APIs services. It follows RFC 7519 guidelines and easy maintainable, bare computational needs. It is featured with configurable token expiry and token hash algo validation. """ # Author : Kr...
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<filename>commands/Utility.py from discord import guild, Spotify from discord.ext import commands import discord import json class Utility(commands.Cog): def __init__(self, bot): self.bot = bot @commands.bot_has_guild_permissions(send_messages=True) @commands.cooldown(1, 60, commands.BucketType.g...
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import time from model import * from utils import * from game import VisibleGame import p5 def run_model(mode): actor = load_model('actor') actor.eval() critic = load_model('critic') critic.eval() def run_episode(show=True): ''' play the game and remember what happened ''' ...
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<gh_stars>1-10 import numpy as np import random as rand import matplotlib.pyplot as plt class component: def __init__(self,num_node): self.num_node = num_node self.parent = [i for i in range(num_node)] self.weight = [0 for i in range(num_node)] self.size = [1 for i in range(num_node)...
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import requests from bs4 import BeautifulSoup class YtQueryParser: """ parses youtube page with search query parses all the attrbutes for a search query results """ def __init__(self, query): self.yt_query_url = "http://youtube.com/results?search_query=" + query print(self.yt_query_url) self.yt_links_dura...
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<gh_stars>0 from haven import haven_chk as hc from haven import haven_results as hr from haven import haven_utils as hu import torch import torchvision import tqdm import pandas as pd import pprint import itertools import os import pylab as plt import exp_configs import time import numpy as np from src import models f...
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#!/usr/bin/env python import setpath from bike.testutils import * from bike.transformer.save import save from moveToModule import * class TestMoveClass(BRMTestCase): def test_movesTheText(self): src1=trimLines(""" def before(): pass class TheClass: pass def after(): pas...
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<gh_stars>10-100 """user note relation Revision ID: 501e2f945ff9 Revises: <PASSWORD> Create Date: 2015-07-06 21:21:47.558753 """ # revision identifiers, used by Alembic. revision = '501e2f945ff9' down_revision = '<PASSWORD>' from alembic import op import sqlalchemy as sa def upgrade(): ### commands auto gener...
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import unittest from io import StringIO from collections import namedtuple import pandas as pd from pandas.testing import assert_frame_equal, assert_series_equal import xlsxwriter import gptables from gptables.core.wrappers import GPWorkbook from gptables.core.wrappers import GPWorksheet from gptables import Theme fr...
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import asyncio import contextlib import logging from typing import (Any, Dict, Iterator, List, Optional, Sequence, Set, Tuple, Union) from opentrons import types, hardware_control as hc, commands as cmds from opentrons.commands import CommandPublisher import opentrons.config.robot_configs as rc from...
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#%% from sklearn.model_selection import train_test_split from sklearn.feature_extraction.text import CountVectorizer from sklearn.linear_model import LogisticRegression from sklearn.metrics import plot_confusion_matrix from nltk.corpus import stopwords import pandas as pd import pickle import matplotlib.pyplot ...
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<reponame>sozu/py-pyracmon """ This module exports types and functions for configurations. `PyracmonConfiguration` is a class exposing configurable attributes. An instance of the class held in this module is treated as global configuration. `pyracmon` is an only awy to change it. Changes done in ``with`` block i...
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import time import torch import onnx import os import numpy as np from mmcv.tensorrt import (TRTWrapper, onnx2trt, save_trt_engine, is_tensorrt_plugin_loaded) assert is_tensorrt_plugin_loaded(), 'Requires to complie TensorRT plugins in mmcv' def gen_trt(onnx_file='sample.onnx', tr...
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#!/usr/bin/env python import argparse, grpc, sys, os, socket, random, struct, time from time import sleep import time import Queue import socket import struct from scapy.all import * import matplotlib.pyplot as plt import thread import csv from fcntl import ioctl import IN AVERAGE_NUM = 30 AVERAGE_NUM2 = 1 def main(...
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""" REST API Documentation for the NRS TFRS Credit Trading Application The Transportation Fuels Reporting System is being designed to streamline compliance reporting for transportation fuel suppliers in accordance with the Renewable & Low Carbon Fuel Requirements Regulation. OpenAPI spec version: v1 ...
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<gh_stars>1-10 import hashlib def sha512half(s): return hashlib.sha512(s).digest()[0:32] def hash160(s): h = hashlib.sha256(s).digest() m = hashlib.new('ripemd160') m.update(h) t = m.digest() return t def sha256hash(s): s = s if s else ' ' hash1 = hashlib.sha256(s).digest() hash2 = hashlib.sha256(hash...
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<reponame>wayneferdon/WallpaperEngine.NeteaseMusicLyricDesktop from pykakasi import kakasi import datetime import json import re import os import requests import time import sqlite3 from enum import Enum APPDATA = os.getenv("LOCALAPPDATA") LOGPATH = os.path.expanduser(APPDATA + "/Netease/CloudMusic/cloudmusic.elog") ...
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<reponame>vishwanath1306/mltrace from mltrace.db.base import Base from mltrace.db.models import ComponentRun, PointerTypeEnum from sqlalchemy import create_engine from sqlalchemy.engine.reflection import Inspector from sqlalchemy.schema import ( DropConstraint, DropTable, MetaData, Table, ForeignKey...
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<reponame>animesh/DeepRT import pandas as pd from pydicom import read_file import re import logging class DicomTable: def __init__(self, dicom_path): self.dicom_path = dicom_path self.dicom_file = read_file( self.dicom_path ) self.record_lookup = self.get_patient_data() self.record_...
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<gh_stars>0 import click from .core import search from .common import copy_to_clipboard, find_subtitle @click.command() @click.argument('moviename', required=False) @click.option('--subtitle', '-s', help='Given keyword(usually the file name) to search') def main(moviename, subtitle): if moviename: search...
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<gh_stars>0 from django.contrib.auth import authenticate, login from django.urls import reverse_lazy from django.views.generic.edit import FormView from django.contrib.auth.views import LoginView, LogoutView from app_users.forms import ChatUserRegistration class ChatUserRegisterView(FormView): form_class = ChatUs...
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# coding: utf-8 """ LogicMonitor REST API LogicMonitor is a SaaS-based performance monitoring platform that provides full visibility into complex, hybrid infrastructures, offering granular performance monitoring and actionable data and insights. logicmonitor_sdk enables you to manage your LogicMonitor account...
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<reponame>tmanabe/PairwisePreferenceMultileave import numpy as np import sys, os sys.path.append(os.path.join(os.path.dirname(__file__), '..')) import utils.rankings as rnk from multileaving.ProbabilisticMultileave import ProbabilisticMultileave class SampleOnlyScoredMultileave(ProbabilisticMultileave): def __in...
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from Python_lab02_The_Life.models.position_model import PositionModel class CellModel: """Cell representation""" def __init__(self, position: PositionModel): """C'stor""" self.__alive = False self.__position = position def change(self) -> None: """Change living state of ce...
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import sys import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt out_file = sys.argv[1] x_label = sys.argv[2] y_label = sys.argv[3] names = [] X = [] Y = [] i = 0 for l in sys.stdin: A = l.rstrip().split() if len(A) == 3: names.append(A[0]) X.append(float(A[1])) Y.app...
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<reponame>jessamynsmith/django-enumfields # -- encoding: UTF-8 -- import uuid try: from django.contrib.auth import get_user_model except ImportError: # `get_user_model` only exists from Django 1.5 on. from django.contrib.auth.models import User get_user_model = lambda: User from django.core.urlresolvers...
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<filename>src/quality_control/bin/createSpotDetectionQCHTML.py import json from bs4 import BeautifulSoup import pandas as pd import sys # Argparsing argument_index = 1 template = sys.argv[argument_index] argument_index +=1 recall_json = sys.argv[argument_index] argument_index +=1 recall_plot = sys.argv[argument_inde...
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from gameComponents import gameVars # Defining a win or lose function def winorlose(status): if status == "won": pre_message = "You are the yuuuuuuugest winner ever! " else: pre_message = "You done trumped it, loser! " print(pre_message + "Would you like to play again?") choice = input("Y / N? ...
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<gh_stars>0 __version__ = '0.74.0'
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<reponame>sourcery-ai-bot/Python-Curso-em-Video # Escreva um programa para aprovar o empréstimo bancário para a compra de uma casa. # Pergunte o valor da casa, o salário do comprador e em quantos anos ele vai pagar. # A prestação mensal não pode exceder 30% do salário ou então o empréstimo será negado. vlrcasa = float...
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#!/usr/bin/env python # -*- coding: utf-8 -*- import argparse import json import os import re import subprocess import sys from string import Template DOCKER_IMAGE_NAME_RE = re.compile(r"^([a-zA-Z0-9_.]+/)?[a-zA-Z0-9_.]+$") DOCKER_IMAGE_TAG_RE = re.compile(r"^[a-zA-Z0-9_.]+$") ARCHIVE_NAME_VALID_CHAR_RE = re.compile...
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<gh_stars>0 import random from jmetal.core.problem import Problem from jmetal.core.solution import FloatSolution, CompositeSolution, IntegerSolution from AlgoritmoGenetico.Problema.Reducao_Regras import Reducao from SistemaFuzzy.Model.Regra import Regra from SistemaFuzzy.Raciocinio.Geral import Classificacao from Algor...
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<reponame>calebho/gameanalysis """Module for performing game analysis""" __version__ = '8.0.3'
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import time from debugwire import DWException def hexdump(data): return " ".join("{:02x}".format(b) for b in data) class BaseInterface: def __init__(self, enable_log=False): self.enable_log = enable_log def _log(self, msg): if self.enable_log: print(msg) class BaseSerialInter...
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<gh_stars>0 """ Produces color tables on stdout """ from mdv import tools from mdv.plugs import plugins from mdv.plugins import color_table_256, color_table_256_true def colors_4(): return dict([(str(k - 10) + ' ', str(k)) for k in range(40, 48)]) def colors_8(): return color_table_256.colors def color...
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<reponame>BubuLK/sfepy #!/usr/bin/env python """ Plot mesh connectivities, facet orientations, global and local DOF ids etc. To switch off plotting some mesh entities, set the corresponding color to `None`. """ from __future__ import absolute_import import sys sys.path.append('.') from argparse import ArgumentParser ...
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# # This script will reboot the AWS instance based on the instance-id # # Pre requisite: need to have aws cli installed first! # import os import time print(time.ctime()) #time.sleep(600) aws_cmd1 = 'aws ec2 describe-instances --query "Reservations[].Instances[].InstanceId" --filter "Name=instance-state-name,Values...
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<filename>pewpew/hdf5/reader.py from ..base import StreamElement import logging import h5py import os class Reader(StreamElement): log = logging.getLogger('pewpew.hdf5.reader') def on_start(self): self.file_list = self.config.get('file_list', []) self.repeat = self.config.get('repeat', False...
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<filename>mython/trampoline.py #! /usr/bin/env python # ______________________________________________________________________ """ Defines a set of utilities for LL(1) parsing using a trampoline instead of a call stack. The trampoline uses generators and a heap-based stack instead of the Python call stack. """ # _____...
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# -*- coding: utf-8 -*- """Generate the coverage.rst and coverage.rst files from test results.""" from __future__ import print_function import os import sys from docs_common import check_cclib # Import cclib and check we are using the version from a subdirectory. import cclib check_cclib(cclib) def generate_cove...
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<reponame>jhm-/nhlscrappo from nhlscrappo import __version__ from distutils.core import setup from setuptools import find_packages def _read(file): return open(file, 'rb').read() setup(name="nhlscrappo", version=__version__, description="Web scraping API for NHL.com Real Time Shot System (RTSS) report...
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<filename>home/migrations/0006_remove_banner_site.py # Generated by Django 3.1.7 on 2022-02-28 18:13 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('home', '0005_banner'), ] operations = [ migrations.RemoveField( model_name='banner'...
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import argparse import json import torch import torch.nn.functional as F from torch.utils.data import DataLoader from datasets.phototourism import build_tourism from models.nerf import build_nerf from models.rendering import get_rays_tourism, sample_points, volume_render from utils.tour_video import create_interpolatio...
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<reponame>niooss-ledger/tpm2-pytss """ SPDX-License-Identifier: BSD-2 """ from distutils import spawn import logging import os import random import socket import subprocess import sys import tempfile import time import unittest from time import sleep from ctypes import cdll from tpm2_pytss import * class BaseTpmSi...
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<filename>tests/units/test_prefixes.py #!/usr/bin/env python # Licensed under a 3-clause BSD style license, see LICENSE. """ Tests for the hepunits.units.prefixes module. """ from pytest import approx from math import log from hepunits.units import mega, micro, yotta, yocto, kibi, tebi def test_prefixes_e6(): ...
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<gh_stars>1-10 # Generated by Django 3.0.4 on 2020-03-30 16:51 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('client', '0010_auto_20200402_1202'), ] operations = [ migrations.RemoveField( model_name='volunteer', name='f...
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<reponame>moshi4/GBKviz<filename>tests/test_draw_genbank_fig.py from pathlib import Path from typing import List from gbkviz.draw_genbank_fig import DrawGenbankFig from gbkviz.genbank import Genbank def test_draw_genbank_fig(genbank_files: List[Path], tmp_path: Path): """test draw_genbank_fig""" gbk_list = [...
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<gh_stars>1-10 """ Pokazuje losowe zdjęcie z losowej galerii z losowego zamku (Może trochę zająć - 3 synchroniczne zapytania). """ from asyncio import run from io import BytesIO from random import choice from PIL import Image # pip install pillow from pymondis import Client async def main(): async with Client...
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<reponame>beckerr-rzht/python-eduvpn-client from typing import Optional, Iterable, Callable, List, Dict import enum from functools import lru_cache from gi.repository import Gtk, GObject from eduvpn.server import ( AnyServer as Server, InstituteAccessServer, OrganisationServer, SecureInternetLocation, CustomSer...
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#! /usr/bin/env python # IDLE Behavior # WARNING! if person tracking is acting crazy, check that # the person tracker node is using the correct camera!! import rospy import actionlib import behavior_common.msg import time import rospkg import rosparam from std_msgs.msg import Float64 from std_msgs.msg import String...
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<gh_stars>0 from __future__ import unicode_literals from .models import elb_backend mock_elb = elb_backend.decorator
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<filename>solutions/1.5.py # One Away def one_away(string_1, string_2): # One Character Removed from String 2 if (len(string_1) - len(string_2)) == 1: for pos in range(len(string_1)): if string_1[pos] != string_2[pos]: if string_1[pos + 1:] == string_2[pos:]: ...
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<reponame>adriangrepo/qreservoir import unittest import logging from PyQt4.QtGui import QApplication, QWidget from PyQt4.QtTest import QTest import sys from db.test.dummydbsetup import DummyDbSetup from gui.wellplot.model.wellplotmodelaccess import WellPlotModelAccess from db.windows.wellplot.template.wellplottempl...
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import logging import os import pickle import sys import threading import time from typing import List from Giveme5W1H.extractor.root import path from Giveme5W1H.extractor.tools.util import bytes_2_human_readable class KeyValueCache(object): def __init__(self, cache_path): """ :param cache_path: ...
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""" Internal tools needed to query the index based on rectangles and position/radius. Based on tools in argodata: https://github.com/ArgoCanada/argodata/blob/master/R/utils.R#L54-L165 """ import warnings import numpy as np def geodist_rad(long1, lat1, long2, lat2, R=6371.010): delta_long = long2 - long1 delt...
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### please change the corresponding path prefix ${PATH} import sys, os, errno import numpy as np import csv import json import copy assert len(sys.argv) == 2, "Usage: python log_analysis.py <test_log>" log = sys.argv[1] with open(log, 'r') as f: lines = f.read().splitlines() split='test' with open('${PATH}/Charade...
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""" Cokriging example from [Forrester 2007] to show MultiFiMetaModel and MultiFiCoKrigingSurrogate usage """ import numpy as np from openmdao.main.api import Assembly, Component from openmdao.lib.datatypes.api import Float from openmdao.lib.drivers.api import CaseIteratorDriver from openmdao.lib.components.api impor...
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<filename>record_a_gif.py<gh_stars>10-100 #!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Thu Apr 30 17:16:29 2020 @author: yiningma """ import os import imageio import numpy as np import gym from Utils.envGym import envGym from Utils.model_loader import model_loader def record(model,env,seed,max_l...
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<gh_stars>10-100 #!/usr/bin/python3 # -*- coding: utf-8 -*- """ .. module:: __init__ :synopsis: module that contains classes that mapped to the configuration file. """ from abc import abstractmethod from typing import ( List, Union, Dict, Tuple ) from mockintosh.constants import PYBARS, JINJA fro...
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# -*- coding: utf-8 -*- """ Created on Wed May 27 18:55:22 2020 @author: Lucas """ print ("Conversor de unidade de medida") velocidade = float(input("Digite sua velocidade: ")) print ("""Para qual velocidade pretende converter? [1] Para Km/m [2] Para m/s""") opção = int(input("Sua opção: ")) if opção ==...
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from typing import Tuple import matplotlib.pyplot as plt import pandas as pd from polar_bearings.opt_pah_finder_robotics.potential_field_planning import ( potential_field_planning, ) def main( filepath: str = "ice_thickness_01-01-2020.csv", rescaling_factor: int = 2, grid_size: float = 0.1, robo...
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<gh_stars>0 # MIT License # # Copyright (c) 2018 <NAME>, <EMAIL> # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy,...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Sun Dec 2 19:55:38 2018 @author: saschajecklin """ import sys import os sys.path.append("..") #from scores.score_logger import ScoreLogger from connect4game import Connect4 import random import numpy as np from collections import deque import tensorflow a...
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<reponame>faircloth-lab/itero #!/usr/bin/env python # -*- coding: utf-8 -*- """ (c) 2018 <NAME> || http://faircloth-lab.org/ All rights reserved. This code is distributed under a 3-clause BSD license. Please see LICENSE.txt for more information. Created on 14 April 2018 16:10 CDT (-0500) """ from __future__ import...
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<reponame>HatsuneMiku4/reaver import reaver.envs import reaver.models import reaver.agents import reaver.utils
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######################################################################## # amara/bindery/model/examplotron.py """ Examplotron specialization of bindery node XML model tools """ __all__ = [ 'examplotron_model', ] import sys #import re import warnings import copy from cStringIO import StringIO from itertools import * ...
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#!/usr/bin/env python import os import sys sys.path.append('/home/bithika/src/House-Number-Detection') import numpy as np import matplotlib.pyplot as plt import seaborn as sns from scipy.io import loadmat from skimage import color from skimage import io from sklearn.model_selection import train_test_split from sklearn...
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# coding: utf8 """ ref 1. http://disi.unitn.it/moschitti/Tree-Kernel.htm 2. http://disi.unitn.it/moschitti/Teaching-slides/slides-AINLP-2016/SVMs-Kernel-Methods.pdf 3. code: http://joedsm.altervista.org/pythontreekernels.htm 4. wiki: https://en.wikipedia.org/wiki/Tree_kernel """ from __future__ import print_function im...
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<reponame>payoto/graphcore_examples # Copyright (c) 2021 Graphcore Ltd. All rights reserved. # Copyright 2021 RangiLyu. # # 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.apac...
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<gh_stars>0 # MIT License # # Copyright (c) 2017 <NAME>, <NAME> # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, ...
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<reponame>Geson-anko/JARVIS3 import torch from torch.nn import ( Module,Linear, Conv1d,BatchNorm1d,AvgPool1d, ConvTranspose1d,Upsample, ) import os import random from .config import config class Encoder(Module): input_size:tuple = (1,config.futures,config.length,2) output_size:tuple = (1,64,8) ...
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<filename>termapp/overlay_event.py #!/usr/bin/env python3 import urwid class OverlayEvent(urwid.WidgetWrap): def __init__( self, first_widget, second_widget, width = 15, height = 10, vertical_align = "middle", horizontal_align = "center" ): # C...
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<filename>fluent.syntax/tests/syntax/__init__.py import textwrap def dedent_ftl(text): return textwrap.dedent(f"{text.rstrip()}\n")
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<reponame>LemuelPuglisi/TutoratoTap<filename>Lesson_n5/examples/titanic_survival_prediction_pipeline.py<gh_stars>1-10 """ Train an Random Forest Classifier model that can predict if an actor survived on the Titanic. """ import shutil import pyspark.sql.functions as funcs from pyspark import SparkFiles from pysp...
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#!/usr/bin/env python # -*- coding: utf-8 -*- from test_import import * if __name__ == "__main__": test_name = sys.argv[1] test_dir = sys.argv[2] tmp_dir = sys.argv[3] rc = run_pyfunnel(test_dir) assert rc == 0, "Binary status code for {}: {}.".format(test_dir, rc) dif_err = dif_test(test_di...
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from dbkcore.core import BaseObject, trace, Log from pyspark.sql.dataframe import DataFrame as PyDataFrame import pyspark.sql.functions as F from pyspark.sql import SparkSession from pyspark.sql.utils import AnalysisException from enum import Enum # from abc import ABC, abstractmethod from abc import abstractmethod imp...
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<reponame>DirkyJerky/Uni<gh_stars>0 import numpy as np from matplotlib import pyplot as plt T=60 # final simulation time N=100 # Step count h=T/N # Step size beta = 0.5 # S->I growth gamma = 0.25 # I->R growth rho1 = 0.01 # Group 1->2 growth rho2 = 0.01 # Group 2->1 growth Phi = np.zeros((N+1,6)) # Array for storin...
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# Copyright (c) 2013, Web Notes Technologies Pvt. Ltd. and Contributors # MIT License. See license.txt from __future__ import unicode_literals import frappe, os, sys from frappe.modules import load_doctype_module from frappe.utils.nestedset import rebuild_tree from frappe.utils import update_progress_bar import static...
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<gh_stars>100-1000 #!/usr/bin/env python # # Copyright © 2012-2016 VMware, Inc. 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...
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import numpy as np import pandas as pd import matplotlib.pyplot as plt from math import pi import funcs as f from importlib import reload import dataframe_cleaner reload(radar1_class) import radar1_class from radar1_class import Radar1 import unidecode from unidecode import unidecode #final list of columns to choose fr...
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import argparse from PIL import Image import numpy as np import onnxruntime as rt if __name__ == '__main__': parser = argparse.ArgumentParser(description="StyleTransferONNX") parser.add_argument('--model', type=str, default=' ', help='ONNX model file', required=True) parser.add_argument('--input', type=str, d...
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import numpy as np from sklearn.model_selection import train_test_split from sklearn.neighbors import KNeighborsClassifier from sklearn.ensemble import RandomForestClassifier from sklearn.metrics import accuracy_score def train_knn(X, Y): """Trains a K-nearest-neighbors classifier on data X and labels Y, and retu...
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