content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import numpy as np
length = 28
dog = np.load('stabilization_small.npy')
num_plot = 0
if num_plot == 1:
for j in range(10):
img = dog[j,:].reshape((length, length)) # for printing numbers
# img = np.random.randint(0,2,size=(length,... | [
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from itertools import chain
from json import load
import numpy as np
if __name__ == "__main__":
samples = load(open("samples.json"))
rdfs = list(chain.from_iterable([s["rdf"] for s in samples]))
hal = np.sum([s["hal"] for s in samples])
total = len(rdfs)
exists = len([r for s, r, o, res in rdfs i... | [
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from django.core import management
from django.core.management.base import BaseCommand
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# -*- coding: utf-8 -*-
# Generated by Django 1.10 on 2017-07-05 22:01
from __future__ import unicode_literals
import django.core.validators
from django.db import migrations, models
import django.db.models.deletion
import re
| [
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834,
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62,
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198,
11748,... | 2.873418 | 79 |
import torch
import torch.nn as nn
import torch.utils.model_zoo as model_zoo
import torch.nn.functional as F
import torchvision.transforms as transforms
import torchvision.models as models
import argparse
import re
import os
from torchsummary import summary
# local imports
import model
from preprocess import mean, std... | [
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# pylint:disable=missing-class-docstring,no-self-use
import os
import unittest
import angr
test_location = os.path.join(os.path.dirname(os.path.realpath(__file__)), '..', '..', 'binaries', 'tests')
if __name__ == "__main__":
unittest.main()
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from __future__ import absolute_import
import numpy as np
import tensorflow as tf
import tensorflow.keras.backend as K
def _crps_tf(y_true, y_pred, factor=0.05):
'''
core of (pseudo) CRPS loss
y_true: two-dimensional arrays
y_pred: two-dimensional arrays
factor: importance of std term
... | [
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... | 2.217146 | 3,546 |
from .ball_query import BallQuery
from .frustum import FrustumPointNetLoss
from .loss import KLLoss
from .pointnet import PointNetAModule, PointNetSAModule, PointNetFPModule
from .pvconv import PVConv
from .se import SE3d
from .shared_mlp import SharedMLP
from .voxelization import Voxelization
| [
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import gzip
import pickle
import os
if __name__ == '__main__':
# Load sample
with gzip.open("E:\\ECG_Data\\icentia11k\\00000_batched.pkl.gz", "rb") as file:
data = pickle.load(file)
print(data.shape)
# Load label
with gzip.open("E:\\ECG_Data\\icentia11k\\00000_batched_lbls.pkl.gz", "rb") a... | [
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... | 1.942478 | 452 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import Tio
import asyncio
import unittest
site = Tio.Tio()
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data2=pd.read_csv("Raw/pndictionary.csv",error_bad_lines=False,header=None)
data2=data2.drop([0,3,4,5],axis=1)
print(data2.head())
data2=data2.drop_duplicates(subset=[1],keep='first')
data2=data2.reset_index(drop=True)
l=[]
for i in range(len(data2)):
s=data2[2][i]
if s==' `value`' or s==" 'GN ara[times]'":
... | [
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#!/usr/bin/env python3
import argparse
import xml.etree.ElementTree as ET
from dumb_round import dumb_round
VESTIGIAL_ATTRS = {
'Walker': ['fill', 'frame', 'r'],
'Sphere': ['r'],
'Hologram': ['r'],
'Solid': ['r'],
'WallSolid': ['angle', 'cx', 'cz', 'r'],
'FreeSolid': ['r'],
'Dome': [],
... | [
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... | 2.04528 | 1,303 |
import re
import json
import string
import urllib.request
| [
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# Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class PyNibabel(PythonPackage):
"""Access a multitude of neuroimaging data formats"""
homep... | [
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... | 2.412969 | 293 |
#################################################################################
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. #
# #
# Licensed under the Apache License, Version 2.0 (the "License"). ... | [
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from pybrain.rl.learners.directsearch.__init__ import *
from pybrain.rl.learners.valuebased.__init__ import *
from pybrain.rl.learners.modelbased.__init__ import *
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from ..entities import entity_post_move, entity_rotated
from ..services import map
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#!/usr/bin/env python3
"""
Writes a lexicon to disk with the relevant counts of each word.
Use with e.g. "find . -type f -iname "*.txt" -exec ./write_token_counts.py {} +"
"""
__author__ = "Todd Shore <errantlinguist+github@gmail.com>"
__copyright__ = "Copyright (C) 2018 Todd Shore"
__license__ = "Apache License, Ve... | [
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#!/usr/bin/env python
#
# Builds archives for SDK releases.
#
# Usage:
# python tools/sdk.py <version>
#
import os
import shutil
import sys
import tempfile
if __name__ == "__main__":
main()
| [
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import sys
try:
from setuptools import setup
except ImportError:
sys.exit('ERROR: setuptools is required.\nTry using "pip install setuptools".')
# Use README.rst for the long description
with open('README.rst') as fh:
long_description = fh.read()
def get_package_version(verfile):
'''Scan the script for the... | [
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# -*- coding: utf-8 -*-
"""
Created on Thu Jan 7 13:01:33 2016
this is a low-cost way to compute a decent solution to the traveling salesman
problem using the christofides algorythm. It guarentees approximately 1.5 the global minimum
@author: Landen Blackburn
"""
import scipy.io as scipy
import numpy as np
from mun... | [
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11... | 3.141156 | 588 |
# Your OrderedStream object will be instantiated and called as such:
# obj = OrderedStream(n)
# param_1 = obj.insert(id,value)
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#!/usr/bin/env python3
# SPDX-FileCopyrightText: Omar Sandoval <osandov@osandov.com>
# SPDX-License-Identifier: MIT
import argparse
import os
import os.path
import shutil
import subprocess
import sys
CHUNK_SIZE = 1024 * 1024 * 1024 # 1 GB
if __name__ == '__main__':
main()
| [
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... | 2.716981 | 106 |
import copy
import math
import os
import random
import time
from functools import wraps
import numpy as np
import torch
from gobigger.agents import BotAgent
from pygame import Vector2
def match_clones(last_clones, cur_clones, avg_move_x, avg_move_y):
... | [
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11748,
299,
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201,
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198... | 1.753059 | 9,480 |
from loguru import logger
from pathlib import Path
import sql_functions
if __name__ == "__main__":
LogPath = str(Path(__file__).resolve().parent) + "\\log\\file_{time}.log"
logger.add(LogPath, level='DEBUG')
sql_functions.main()
logger.info("Completed Successfully")
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77... | 2.89899 | 99 |
"""
Copyright:
2016 Fraunhofer Institute for Telecommunications, Heinrich-Hertz-Institut (HHI)
The copyright of this software source code is the property of HHI.
This software may be used and/or copied only with the written permission
of HHI and in accordance with the terms and conditions stipulated
in the ... | [
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36... | 2.952747 | 910 |
# _*_ coding: utf-8 _*_
"""
Created by lr on 2019/08/29.
"""
__author__ = 'lr'
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] | 2.095238 | 42 |
#
# (c) Peralta Informatics 2007
# $Id: DeployPostgreSqlModule.py 302 2008-01-21 09:36:01Z andrei $
#
import clr
import sys
import os
import shutil
clr.AddReference("System.Data")
clr.AddReference("System.Xml")
import System.Data
import System.Data.SqlClient
import System.Diagnostics
import System.Text
import System... | [
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... | 3.169231 | 195 |
import io
import json
import os
from . import base as base_module
from .base import KeyManager
from .exceptions import CGAPEnvKeyMissing, CGAPServerKeyMissing
def get_keydict_for_env(env=None):
"""
Gets the appropriate auth info for talking to a given beanstalk environment.
Args:
env: the nam... | [
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2969,
... | 2.539326 | 890 |
from django.core.management.base import BaseCommand
from django.contrib.auth.models import User
from django.utils import timezone
from datetime import timedelta
| [
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"""Definitions for common operations on images."""
from io import BytesIO
import numpy as np
from PIL import Image
def extract_patch(im, patch_size):
"""Extract a center cropped patch of size 'patch_size' (2-element tuple).
:param im: input image
:type im: PIL image object
:param patch_size: size of ... | [
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2... | 2.733415 | 1,628 |
import xarray as xr
from . import density
| [
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# flask_web/app.py
import os
from flask import Flask
app = Flask(__name__)
@app.route("/")
#@app.route('/')
#def hello_world:
# return 'Hey, we have Flask in a Docker container!'
#if __name == '__main__':
# app.run(debug=True, host='0.0.0.0')
| [
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1... | 2.419048 | 105 |
import datetime
import time
import requests
from test_broker_base import TestBrokerBase
| [
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"""
Registries view permission classes
"""
from rest_framework.permissions import BasePermission, IsAdminUser, SAFE_METHODS
class IsAdminOrReadOnly(IsAdminUser):
"""
Allows read-only access to all users (including anonymous users) and write access to admin users only
"""
class IsGwellsAdmin(BasePermiss... | [
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# Generated by Django 3.1.5 on 2021-02-11 02:59
from django.db import migrations, models
import django.db.models.deletion
import uuid
| [
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1616,
295,
... | 2.833333 | 48 |
import copy
import types
import torch
import torch.autograd as autograd
import torch.nn as nn
import torch.nn.functional as F
from models.networks.assisting_layers.GateDecoratorLayers import GatedBatchNorm
from models.criterions.SNIP import SNIP
from utils.constants import SNIP_BATCH_ITERATIONS
from utils.data_utils i... | [
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... | 2.091209 | 2,423 |
from __future__ import print_function
import Adafruit_LSM9DS0
import math
from itertools import permutations
import time
from tabulate import tabulate
# Create new LSM9DS0 instance
imu = Adafruit_LSM9DS0.LSM9DS0()
table = []
while True:
(mag_x, mag_y, mag_z) = imu.readMag()
(acc_x, acc_y, acc_z) = imu.readAccel()... | [
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... | 2.486022 | 465 |
#!/usr/bin/env python3
import argparse
import urllib.request
import sys
import re
import csv
csv.register_dialect('tsv', delimiter='\t', quoting=csv.QUOTE_NONE)
lookup_taxonomy = { 'A': 'Archaea',
'B': 'Bacteria',
'E': 'Eukaryota',
'V': 'Virus',
... | [
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3... | 2.190355 | 788 |
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file './prediction.ui'
#
# Created by: PyQt5 UI code generator 5.7.1
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
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... | 2.837209 | 86 |
import re
chars = 0
mem = 0
for i in open('day8.txt'):
line = i.strip()
chars += len(line)
s = re.sub(r'(?:(\")|(\\))', repl, line, flags=re.I)
mem += len(s) + 2
print mem - chars
| [
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7,
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302,
... | 2.268293 | 82 |
import numpy
from PIL import Image
import torch
img = Image.open("../images/computer.jpg")
img_np = numpy.array(img)/255.0
img_t = torch.from_numpy(img_np).float()
img_t = torch.mean(img_t, dim=2).unsqueeze(0).unsqueeze(1)
hog = HOGLayer()
y = hog(img_t)
y_np = y.detach().to("cpu").numpy()[0]
print(img_t.sh... | [
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2067... | 2.103448 | 203 |
import game.board as Board
import game.success as Success
import game.moves as Moves
import cursesio as Ui
import playerio as Ui_term
from curses import wrapper
import curses
import sys
| [
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... | 3.78 | 50 |
# -*- coding: utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
# Copyright (c) 2005-2006 Axelor SARL. (http://www.axelor.com)
import logging
import math
from datetime import timedelta
from werkzeug import url_encode
from odoo import api, fields, models
from odoo.exceptions import ... | [
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from django.apps import apps
from django.test import TestCase
from .apps import BlogConfig
# apps
# models
# widgets
# forms
# viewmixins
# views
| [
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... | 2.78125 | 64 |
#!/usr/bin/env python
from __future__ import division
from __future__ import print_function
from builtins import zip
import os.path
from itertools import groupby
from operator import itemgetter
import ninemlcatalog
import nest
import numpy as np
from nineml import units as un, Property
from nineml.user import Initial
i... | [
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from astropy.io import fits as pyfits
import pyregion
import warnings
import numpy
| [
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] | 2.605263 | 38 |
'''
Created on Feb 20, 2017
@author: sarvi
@copyright: 2017 Cisco Inc. All rights reserved.
'''
# pylint: disable=locally-disabled, too-many-lines
from __future__ import print_function
import base64
import collections
import datetime
import hashlib
import logging.handlers
import os
import platform
import pprint
im... | [
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453... | 2.231636 | 14,471 |
#!/usr/bin/env python
# python 2.x
import sys
from oauth2client.service_account import ServiceAccountCredentials
print_access_token() | [
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from copy import copy
import functools
import os
import sys
# Interfaces
# Derived classes
# Text
# Reader
# Tokenizer
# array of sentences -> array of sentences
# ["a b c", "d e f"] -> [["a", "b", "c"], ["d", "e", "f"]]
# Permutator
# Sorter
# [["clouds", "are", "White"] , ["are", "White", "Cloud... | [
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... | 2.185065 | 616 |
from django.shortcuts import render, redirect
from . forms import EmployeeForm
from . models import Employee
# Create your views here.
| [
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] | 4.181818 | 33 |
#!/usr/bin/env python
# vim: ai ts=4 sts=4 et sw=4
import math
from django import template
register = template.Library()
# when this module is imported via {% load pagination_tags %}, it is
# imported as django.templatetags.pagination_tags, which prevents a
# relative import (..conf) to rapidsms from working here. i... | [
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1... | 3.227778 | 180 |
import os
import json
from termcolor import colored
from utils import getInfoAboutArchivesToScrape
from PaperScraper.utils.command_line import printProgressBar
from DatasetIndexing.lib.arxiv_scraper import ArXivScraper
from DatasetIndexing.lib.sciencedirect_scraper import ScienceDirectScraper
if __name__ == '__mai... | [
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103... | 2.719368 | 506 |
import manage_data
import task_api
| [
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62,
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198
] | 3.5 | 10 |
import argparse
from asyncio import get_event_loop
from asyncio import sleep as asleep
from asyncio import TimeoutError
from errno import ECONNRESET
from functools import lru_cache
from functools import partial
from urllib.parse import urljoin
from aioconsole.stream import aprint
from aiohttp import ClientOSError
from... | [
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67... | 2.943107 | 457 |
# Django command helper to apply django related fields patch programattically
# Will cd into 1st argument and run patch
import os
import sys
from subprocess import Popen, PIPE
patch_file = os.path.join(
os.path.abspath('.'), 'bin', 'django-related-fields.patch')
process = Popen(['patch', '-p1'], stdin=PIPE, shell... | [
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... | 2.932331 | 133 |
import FWCore.ParameterSet.Config as cms
import FastSimulation.Tracking.TrackCandidateProducer_cfi
electronCkfTrackCandidates = FastSimulation.Tracking.TrackCandidateProducer_cfi.trackCandidateProducer.clone(
src = cms.InputTag("electronMergedSeeds"),
MinNumberOfCrossedLayers = 5,
OverlapCleaning = True
... | [
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1313,
34,
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69,
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37051,
796,
12549,
8890,... | 2.892857 | 112 |
from py2p import mesh
import asyncio, argparse, time, sys
loop = asyncio.get_event_loop()
parser = argparse.ArgumentParser()
parser.add_argument("-b", "--bootstrap", type=int, help="whether this node in boostrap node")
parser.add_argument("-p", "--myPort", type=int, help="my port")
args = parser.parse_args()
myPort ... | [
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19... | 2.652482 | 282 |
import numpy as np
import torch.nn as nn
# Reference: https://github.com/imalic3/python-word-error-rate
| [
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import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
######################################################################
#
# Model automatically generated by modelGenerator
#
######################################################################
# ----------------... | [
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7560... | 4.281553 | 206 |
from dataclasses import dataclass
from typing import Any, Optional
from squall.params import Body
@dataclass
@dataclass
| [
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# -*- coding: utf-8 -*-
"""A Data and Model Zoo for Single-Cell Genomics."""
from ._settings import settings
import sfaira.consts
import sfaira.data
import sfaira.models
import sfaira.train
import sfaira.ui
import sfaira.versions
from ._version import get_versions
__version__ = get_versions()['version']
del get_versi... | [
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... | 2.517787 | 253 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2019-04-19 21:49
# @Author : Mayandev
# @Site : https://github.com/Mayandev/
# @File : serializers.py
# @Software: PyCharm
from rest_framework import serializers
from .models import Movie, Genre
| [
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... | 2.514286 | 105 |
# -*- coding: utf-8 -*-
from github.accounts.github_account import GithubAccount
| [
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from core.templatetags import register
from django.utils.safestring import mark_safe
import datetime
@register.filter
def addstr(arg1, arg2):
"""concatenate arg1 & arg2"""
return str(arg1) + str(arg2)
@register.filter
def _not(arg1):
"""Boolean or"""
return not arg1
@register.filter
def _or(arg1, ... | [
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1... | 2.550562 | 356 |
#!/usr/bin/env python
from __future__ import absolute_import
from __future__ import print_function
import os
import sys
import time
from aiida_fleur.calculation.fleur import FleurCalculation as FleurCalc
from aiida_fleur_ad.util.extract_corelevels import extract_corelevels
from aiida.orm import load_node
from aiida.orm... | [
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... | 2.536489 | 1,014 |
_.error_on_external_run # unused attribute (/home/lschmelzeisen/Repositories/wallcrop/noxfile.py:20)
_.reuse_existing_virtualenvs # unused attribute (/home/lschmelzeisen/Repositories/wallcrop/noxfile.py:21)
_.stop_on_first_error # unused attribute (/home/lschmelzeisen/Repositories/wallcrop/noxfile.py:22)
test # unu... | [
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# -*- coding: utf-8 -*-
import os
from shutil import rmtree
from tempfile import mkdtemp
import sh
| [
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] | 2.684211 | 38 |
__version__ = '0.1.1'
from .config import config
| [
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__doc__ = """Encode a depths matrix and a tnf matrix to latent representation.
Creates a variational autoencoder in PyTorch and tries to represent the depths
and tnf in the latent space under gaussian noise.
Usage:
>>> vae = VAE(nsamples=6)
>>> dataloader, mask = make_dataloader(depths, tnf)
>>> vae.trainmodel(datalo... | [
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198... | 2.284931 | 4,924 |
--- evdev/genecodes.py.orig 2020-11-02 00:44:50 UTC
+++ evdev/genecodes.py
@@ -20,7 +20,7 @@ if sys.argv[1:]:
#-----------------------------------------------------------------------------
-macro_regex = r'#define +((?:KEY|ABS|REL|SW|MSC|LED|BTN|REP|SND|ID|EV|BUS|SYN|FF|UI_FF|INPUT_PROP)_\w+)'
+macro_regex = r'#de... | [
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2... | 2.157205 | 229 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
This is a real time example how to implement DTLN tf light model with
sounddevice. The script is based on the "wire.py" example of the sounddevice
toolbox. If the command line shows "input underflow", restart the script.
If there are still a lot of dropouts, increase... | [
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360,
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220,
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23... | 2.657332 | 1,357 |
import numpy as np
print("---------Exercicios propostos 2---------")
#Definindo a seed
#np.random.seed(5)
#Exercicio 1
print("------------------------Exercicio 1------------------------")
arr1 = np.random.randn(10)
print("Array 1:",arr1)
arr2 = arr1 * 100
print("Array 2:",arr2)
arr3 = arr2.astype(int)
print("Array 3... | [
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2,
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279... | 2.698198 | 444 |
#!/usr/bin/env python3
import glob
import imp
import os
import sys
if __name__ == '__main__':
main()
| [
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] | 2.609756 | 41 |
#!/usr/bin/env python2
"""
SYNOPSIS
Prepare the TCGA BRCA Clinical data into a format that is suitable for input
into the Hotspots 'Mutation_Counts' pipeline.
NOTES
(1) Data source:
- Supplementary Table 1 of the Cell 2015 Paper:
http://www.nature.com/nature/journal/v490/n7418/ful... | [
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... | 2.310215 | 7,714 |
# -*- coding: utf-8 -*-
from datetime import datetime
import scrapy
from bs4 import BeautifulSoup
class UkDatabaseSpider(scrapy.Spider):
"""Collect information about people."""
name = "uk_database_posts"
"""str: The name of the spider."""
allowed_domains = ["theukdatabase.com"]
"""list: Allowed ... | [
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7,
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88,
... | 2.013536 | 3,029 |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | [
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329,
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1321,
198,
2,
5115,
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13,
220,
383,
7054,... | 3.955285 | 246 |
import numpy as np
input_data = np.array([2,3])
weights = {
'node_0':np.array([1,1]),
'node_1':np.array([-1,1]),
'output':np.array([2,-1])
}
node_0_value = (input_data * weights['node_0']).sum()
node_1_value = (input_data * weights['node_1']).sum()
hidden_layer_values = np.a... | [
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220,
220,
220,
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62,
15,
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13,
1874... | 2.207729 | 207 |
from baseDatabaseManager import BaseDatabaseManager | [
6738,
2779,
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13511,
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7308,
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] | 6.375 | 8 |
from scrapy import cmdline
cmdline.execute("scrapy crawl xtzx -o result.csv".split()) | [
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] | 3.148148 | 27 |
from distutils.core import setup
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name = 'treeviz',
packages = ['treeviz'],
version = '1.1',
license='MIT',
description = 'Print tree in bash manner',
author = 'Chen Tsu Pei',
author_email = 'a5560648@gmail.com',
url = 'https://... | [
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71,
13,
961,
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198,
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40406,
7,
198,
220,
143... | 2.663507 | 211 |
__author__ = 'MatrixRev'
import json
import codecs
import glob
import os
import sys
#path = u"C://Users//MatrixRev//Desktop//library_5//"
path="C://Users//MatrixRev//Desktop//mainLib//" # input file
outFile='C:/Users/MatrixRev/Desktop/books/output/mainsubjects.txt' #output file
pathNew = u"C://Users//MatrixRev//Deskt... | [
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2,
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334,
1,
34,
1378,
14490,
1003,
46912,
18009,
1003,
36881,
1003,
32016,... | 1.719928 | 1,671 |
# python ./data/compress.py $TORCH_HOME/ILSVRC2012/ $TORCH_HOME/ILSVRC2012-TAR tar
# python ./data/compress.py $TORCH_HOME/ILSVRC2012/ $TORCH_HOME/ILSVRC2012-ZIP zip
import os, sys
from pathlib import Path
if __name__ == '__main__':
assert len(sys.argv) == 4, 'invalid argv : {:}'.format(sys.argv)
source, destin... | [
2,
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2,
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... | 2.506173 | 162 |
# -*- coding: utf-8 -*-
# Copyright 2021 Red Hat
# GNU General Public License v3.0+
# (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
"""
Test plugin file for netaddr tests: ipv6_ipv4_mapped
"""
from __future__ import absolute_import, division, print_function
from ansible_collections.ansible.utils.plugins.p... | [
2,
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45761,
393,
3740,
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2503,
13,
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13,
2398,
14,
... | 2.326877 | 1,239 |
import json
import logging
import os
import subprocess
import sys
from pathlib import Path
import pytest
from deepdiff import DeepDiff
TEST_ASSETS_ROOT = (Path(__file__).parent.parent / "assets").resolve()
NEURO_EXTRAS_ROOT = Path(__file__).parent.parent.parent / "neuro_extras"
LOGGER = logging.getLogger(__name__)
... | [
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32... | 2.992593 | 135 |
from setuptools import setup
setup(
name='ktorrent',
version='0.4.7',
description='Fetches and parses data from Kickass Torrents.',
long_description=open('README.rst').read(),
license='MIT',
author='Udit Vasu',
author_email='admin@codenirvana.in',
url='https://github.com/codenirvana/kTo... | [
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13,
22,
3256,
198,
220,
220,
220,
6764,
11639,
37,
316,
2052,
290,
13544,
... | 2.539526 | 506 |
from torch.utils.data.dataset import Dataset
import os
import json
from PIL import Image
from torchvision import transforms
import logging
import numpy as np
import torch
logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG)
SOS_token = 0
EOS_token = 1
| [
6738,
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13,
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292,
316,
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198,
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350,
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6738,
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10178,
1330,
31408,
198,
11748,
18931,
198,
11748,
299,
32152,
355,
... | 3.114943 | 87 |
# Copyright 2013 Canonical Ltd.
# 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 b... | [
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366,
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2,
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... | 3.472464 | 345 |
import pytest
from trafficgenerator.tgn_utils import ApiType
@pytest.fixture(scope='class', autouse=True)
| [
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import graphlab as gl
import re
import random
from copy import copy
import os
import graphlab.aggregate as agg
import array
import numpy as np
import sys
# Run this script in the same directory as the
train_path = "image-sframes/train-%d/"
valid_path = "image-sframes/validation-%d/"
X_data = gl.SFrame("image-sframe... | [
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from flask import Flask, request, abort, jsonify, Response, json
from marketwatch import marketwatch as MW
from error import Error
app = Flask(__name__)
app.config['JSON_SORT_KEYS'] = False
@app.route('/stock')
@app.route('/stock/financial')
if(__name__ == "__main__"):
app.run(debug=True) | [
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... | 2.911765 | 102 |
from setuptools import setup
name = 'pyDiamondsBackground'
version = '1.1'
release = '1.1.0'
setup(
name=name,
author='Marco Muellner',
author_email='muellnermarco@gmail.com',
version='1.1.2',
packages=['pyDiamondsBackground','pyDiamondsBackground/models'],
licencse = 'MIT',
description='... | [
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... | 2.526971 | 241 |
from main.dto.ContactDetailDto import ContactDetailDto
from main.repository.impl.ContactDetailRepositoryImpl import ContactDetailRepositoryImpl
from main.service.ContactDetailService import ContactDetailService
| [
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from .vault import Vault, EntityClassId, ClientProperties, ServerProperties, SearchOperation, PropertySearch, SearchRule, SysAclBeh, connect
from .vault import generate_service_urls, VaultServices | [
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import numpy as np
import pandas as pd
from mluem import LogisticRegression as LogReg
if __name__ == "__main__":
X, y = load_data()
main(X, y)
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from copy import deepcopy
from typing import Any, Dict
import optuna
import yaml
from optuna.integration import PyTorchLightningPruningCallback
from pytorch_lightning import Trainer, seed_everything
from cloud.dataset import CloudDataModule
from cloud.model import Cloud
if __name__ == "__main__":
with open("co... | [
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import Adafruit_BBIO.GPIO as GPIO
# Dictionary with the PIN number associated to each room
house = {
"KITCHEN": "P9_12",
"BATHROOM": "P9_15",
"LIVINGROOM": "P9_42"
}
def get_status(pin_number):
"""Verify the status of the GPIO pin with number equal to `pin_number`.
Parameters
----------
pin_number : str
Th... | [
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... | 2.916933 | 939 |
# Copyright 2018 BLEMUNDSBURY AI LIMITED
#
# 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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... | 2.826367 | 622 |
import pandas as pd
| [
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] | 3 | 7 |
# spark-submit --jars googlegenomics-spark-examples-assembly-1.0.jar \
# --driver-class-path googlegenomics-spark-examples-assembly-1.0.jar \
# src/main/python/variants_pca.py --client-secrets client_secrets.json
import json
import numpy
import operator
import sys
import pyspark
from pyspark import serializers... | [
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