content stringlengths 1 1.05M | input_ids listlengths 1 883k | ratio_char_token float64 1 22.9 | token_count int64 1 883k |
|---|---|---|---|
# Copyright 2015 Elizabeth Myers.
# All rights reserved.
# This file is part of the pycardcast project. See LICENSE in the root
# directory for licensing information.
import asyncio
import aiohttp
from pycardcast.net import CardcastAPIBase
from pycardcast.deck import (DeckInfo, DeckInfoNotFoundError,
... | [
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from ctypes import *
from .api import api
from .const import *
from .library import library
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] | 3.875 | 24 |
import time
from faker import Faker
from radish_ext.radish.step_config import StepConfig
from conduit.client import ConduitClient, ConduitConfig
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... | 3.571429 | 42 |
import requests
import credentials
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import os
import sys
from conda_build import api
from conda_build import render
import pytest
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if __name__ == '__main__':
main()
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#Writing MOOG parameter file for the parameter, abundance, and error calculations.
#The parameter file only needs to be written once, at beginning of the routine, because the output
#files are overwritten with each itereation of the routine, only minimal output data are needed.
#
#The user can choose to have the param... | [
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"""Plots for optimization lecture."""
import matplotlib.pyplot as plt
import numpy as np
from matplotlib import cm
def plot_contour(f, allvecs, legend_path):
"""Plot contour graph for function f."""
# Create array from values with at least two dimensions.
allvecs = np.atleast_2d(allvecs)
X, Y, Z = _g... | [
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"""All functions return a Component so you can easily pipe or compose them.
There are two types of functions:
- decorators: return the original component
- containers: return a new component
"""
from functools import lru_cache, partial
import numpy as np
from omegaconf import OmegaConf
from pydantic import validate... | [
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#coding=utf-8
from __future__ import division
"""
# OVERLAY UFOS
For anyone looking in here, sorry the code is so messy. This is a standalone version of a script with a lot of dependencies.
"""
import os
from AppKit import * #@PydevCodeAnalysisIgnore
from vanilla import * #@PydevCodeAnalysisIgnore
from mojo.drawingT... | [
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21... | 3.423913 | 276 |
import os
appdata_path = os.path.expanduser("~/.local/share/nautapy")
os.makedirs(appdata_path, exist_ok=True)
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... | 2.478261 | 46 |
import requests
import json
import datetime
import sys
from dateutil.parser import parse as to_datetime
try:
import pandas as pd
except:
pass
from pyteamup.utils.utilities import *
from pyteamup.utils.constants import *
from pyteamup.Event import Event
def get_event_collection(self, start_dt=None, end_dt... | [
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... | 2.320844 | 2,749 |
from . import constant
parameters = {
'RegNet' : { "lr": 0.1, "epochs": 100, "weight_decay": 5e-5, "batch_size": 128, "nesterov": True, "init_backbone":True, "init_extractor":True,},
}
backbone_config = {
"RegNetX002" : {"channels": 3, "dropout": 0.2,},
"RegNetY004" : {"channels": ... | [
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323... | 1.579735 | 5,211 |
#
# @section License
#
# The MIT License (MIT)
#
# Copyright (c) 2016-2017, Erik Moqvist
#
# 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 ... | [
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... | 3 | 536 |
from django.conf.urls import patterns, include, url
urlpatterns = patterns('reports.views',
url(r'^index/*$', 'index'),
url(r'^dashboard/*$', 'dashboard'),
url(r'^$', 'index'),
url(r'^detail/(?P<serial>[^/]+)$', 'detail'),
url(r'^detailpkg/(?P<serial>[^/]+)/(?P<manifest_name>[^/]+)$', 'detail_pkg')... | [
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
import time
import multiprocessing
import pytest
import socket
import signal
import os
import logging
try:
from urllib2 import URLError, urlopen
except ImportError:
from urllib.error import URLError
from urllib.request import urlopen
from flask import _request... | [
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from .exceptions import (
ServerResponseError,
InternalServerError,
NonXMLResponseError,
EndpointUnavailableError,
)
from functools import wraps
from xml.etree.ElementTree import ParseError
from ..query import QuerySet
import logging
try:
from distutils2.version import NormalizedVersion as Version
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... | 3.058333 | 600 |
import unittest
from freeplane_importer.importer import Importer
from mock import Mock
from mock import MagicMock
from mock import call
from freeplane_importer.model_not_found_exception import ModelNotFoundException
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... | 3.824561 | 57 |
import argparse
import numpy as np
from scipy.stats import linregress
import matplotlib.pyplot as plt
parser = argparse.ArgumentParser()
parser.add_argument("--plot", action="store_const", default=False, const=True)
args = parser.parse_args()
data = np.loadtxt("../data/data.csv", skiprows=1, usecols=list(range(1,8)),... | [
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... | 2.259336 | 482 |
from jedi.inference.base_value import ValueSet, NO_VALUES
from jedi.common import monkeypatch
def get_merged_lazy_value(lazy_values):
if len(lazy_values) > 1:
return MergedLazyValues(lazy_values)
else:
return lazy_values[0]
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import matplotlib.lines as lines
import matplotlib.pyplot as plt
COLOR_CLASSIFICATIONS = [
'black', # Unclassified
'blue', # Classified True (1)
'red' # Classified False (0)
]
def generate_line(ax, p0, p1, color='black', style='-'):
'''
Generates a line between points p0 and p1 which... | [
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19... | 2.427807 | 748 |
import sys
import os
import re
import json
import pickle
import tempfile
import itertools
import contextlib
import xml.etree.cElementTree as cET
from copy import deepcopy
from xml.etree import ElementTree as ET
from pprint import pformat
from .constants import (
MARKER_COLOR,
MARKER_DURATION,
MARKER_NAME,
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2... | 2.509044 | 2,709 |
import sys
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
if len(sys.argv) != 3:
print('usage: python plot_performances.py <group_csv> <indiv_csv>')
exit()
group_file = sys.argv[1]
indiv_file = sys.argv[2]
# Load the data
df_group = pd.read_csv(group_file)
df_i... | [
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... | 2.327306 | 553 |
from Aion.utils.data import getADBPath
import subprocess
| [
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from collections import OrderedDict
import pytest
import vcr
try: # Python 2.7
# requests's ``json()`` function returns strings as unicode (as per the
# JSON spec). In 2.7, those are of type unicode rather than str. basestring
# was created to help with that.
# https://docs.python.org/2/library/func... | [
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#
# Copyright 2015 Naver Corp.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing... | [
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... | 3.796954 | 197 |
import os
import sys
import numpy as np
import matplotlib.pyplot as plt
import flopy
if __name__ == "__main__":
success = run()
| [
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# -*- coding: utf-8 -*-
'''
Documentacin sobre clustering en Python:
http://scikit-learn.org/stable/modules/clustering.html
http://www.learndatasci.com/k-means-clustering-algorithms-python-intro/
http://hdbscan.readthedocs.io/en/latest/comparing_clustering_algorithms.html
https://joernhees.de/... | [
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23... | 2.186244 | 5,176 |
"""
preprocess of (single lead) ecg signal:
band pass --> remove baseline --> find rpeaks --> denoise (mainly deal with motion artefact)
TODO:
1. motion artefact detection,
and slice the signal into continuous (no motion artefact within) segments
2. to add
References:
-----------
[1] https://github... | [
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5... | 2.221156 | 4,065 |
## mv to //:WORKSPACE.bzl ocaml_configure
load("//ocaml/_bootstrap:ocaml.bzl", _ocaml_configure = "ocaml_configure")
# load("//ocaml/_bootstrap:obazl.bzl", _obazl_configure = "obazl_configure")
load("//ocaml/_rules:ocaml_repository.bzl" , _ocaml_repository = "ocaml_repository")
# load("//ocaml/_rules:opam_confi... | [
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... | 2.363354 | 322 |
from metrician.explainations.tests import *
| [
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13,
41989,
1330,
1635,
198
] | 3.666667 | 12 |
import tensorflow as tf
from .. src.align import detect_face
from .. src import facenet
from .. simple import download_model
import sys
import os
from os.path import expanduser
import copy
import cv2
import numpy as np
from scipy import spatial
minsize = 20 # minimum size of face
threshold = [0.6, 0.7, 0.7] # three ... | [
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from .aggregated_stats import *
from .game_stats import *
from .stat_definitions import * | [
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] | 3.423077 | 26 |
"""Test Manage All-Link Record."""
import unittest
from binascii import unhexlify
from pyinsteon.address import Address
from pyinsteon.constants import AckNak, ManageAllLinkRecordAction, MessageId
from pyinsteon.protocol.messages.all_link_record_flags import \
AllLinkRecordFlags
from tests import set_log_levels
fr... | [
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4... | 3.134921 | 126 |
#!/usr/bin/env python
# coding: utf-8
# # Figure Info.
#
# | Title | Journal | Authors | Article Date | Code Date | Figure | Links |
# |:------|:-------:|:-------:|:------------:|:---------:|:------:|:-----:|
# |A microfluidic approach for experimentally modelling <br> the intercellular coupling system of a mammalian... | [
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216... | 1.87881 | 2,690 |
from django.shortcuts import render, HttpResponse, HttpResponseRedirect
from django.template import loader
from django.conf import settings
from django.contrib.auth.models import User
from rameniaapp.models import ReviewReport, ProfileReport, NoodleReport, Report, Review, Profile, Noodle
from django.views.generic impor... | [
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#!/usr/bin/python
#
# This tool is an attempt to automate some taks related
# to malware unpacking.
#
# Most (if not all) of the tricks used in this tool
# directly comes from an excellent course given
# by Nicolas Brulez (@nicolasbrulez)
#
# Tool developped by David DURVAUX for Autopsit
# (commercial brand of N-Labs... | [
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357,
361,
407,
477,
8,
286,
262,
15910,
973,
287,
... | 3.578846 | 1,040 |
from ._head_base import HeadComponent
__all__ = ['MjStyle']
| [
198,
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] | 3.047619 | 21 |
# Copyright 2020 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | [
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198... | 2.218668 | 1,532 |
import torch
from torch.nn import functional as F
from torch.utils.data import Dataset
from gensim.corpora.dictionary import Dictionary
| [
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# MINLP written by GAMS Convert at 08/20/20 01:30:45
#
# Equation counts
# Total E G L N X C B
# 297 170 42 85 0 0 0 0
#
# Variable counts
# x b i s1s s2s sc ... | [
2,
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220,
220,
220,
220,
7472,
220,
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220,
220,
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22... | 1.918844 | 38,925 |
import logging
import os
import shutil
import subprocess
import pytest
import salt.utils.platform
log = logging.getLogger(__name__)
| [
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6... | 3.27907 | 43 |
import game_framework
from pico2d import *
import title_state
name = "StartState"
image = None
logo_time = 0.0
from pico2d import *
import title_state
name = "StartState"
image = None
logo_time = 0.0
| [
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13,
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3713... | 2.639535 | 86 |
#!/usr/bin/env python3
# Copyright 2021 Xiaomi Corp. (authors: Fangjun Kuang)
#
# See ../../../../LICENSE for clarification regarding multiple authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy... | [
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8,
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2,
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2,
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14,
40720,
4... | 2.963687 | 358 |
import configparser
| [
11748,
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] | 5.25 | 4 |
from __future__ import print_function
import itertools
from demisto_sdk.commands.common.constants import VALIDATED_PACK_ITEM_TYPES
from demisto_sdk.commands.common.errors import Errors
from demisto_sdk.commands.common.hook_validations.base_validator import \
BaseValidator
from demisto_sdk.commands.common.tools im... | [
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2389,
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62,
47,
8120,
62,
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3620,
62,
99... | 2.497537 | 203 |
import numpy as np
| [
11748,
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355,
45941,
198,
220,
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220,
220,
198
] | 2.181818 | 11 |
from xml.dom import minidom
import pywikibot
from api.decorator import time_this
SiteMock = pywikibot.Site
p = PageMock(SiteMock('en', 'wiktionary'), 'gaon')
e = p.get()
| [
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44,
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796,
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571,
313,
13,
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628,
198,
198,
... | 2.478873 | 71 |
import os
from functools import partial
from io import BytesIO
import numpy as np
import PIL.Image
import scipy.misc
import tensorflow as tf
graph = tf.Graph()
sess = tf.InteractiveSession(graph=graph)
model_fn = "./models/tensorflow_inception_graph.pb"
with tf.gfile.FastGFile(model_fn, 'rb') as f:
graph_def = tf... | [
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629,
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13,
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198,
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111... | 2.319672 | 366 |
import calendar
import datetime
import logging
import os
import webapp2
import dbmodel
TESTING = os.environ.get('SERVER_SOFTWARE', '').startswith('Development')
app = webapp2.WSGIApplication([
('/tasks/admin/reset', ResetHandler)
], debug=TESTING)
| [
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13,
268,
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13,
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62,
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37... | 2.866667 | 90 |
from dataclasses import dataclass
from itertools import cycle
from typing import Dict, Union
import numpy as np
from ...layers.utils.color_transformations import (
transform_color,
transform_color_cycle,
)
| [
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3563... | 3.235294 | 68 |
"""Abstract class for all toggle buttons"""
# Standard library imports
import logging
from collections import OrderedDict
# Third party imports
import ipywidgets
# Local imports
from .abc_toggle_buttons import BaseToggleButtons
from .layouts import DICT_LAYOUT_HBOX_ANY
LOGGER = logging.getLogger(__name__)
def ... | [
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179... | 2.305627 | 1,564 |
__author__ = 'Pat McClernan and Dan Wegmann'
import Player
import Message
# input
#0 for rock
#1 for paper
#2 for scissors
# past move is array of numbers
# our move followed by their move
#Our strategy is to look at all past moves
#In a large number of games, you would expect
# each move to be seen an even amount ... | [
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2,
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318,
71... | 3 | 326 |
from age_and_gender import *
from PIL import Image, ImageDraw, ImageFont
data = AgeAndGender()
data.load_shape_predictor('models/shape_predictor_5_face_landmarks.dat')
data.load_dnn_gender_classifier('models/dnn_gender_classifier_v1.dat')
data.load_dnn_age_predictor('models/dnn_age_predictor_v1.dat')
filename = 'test... | [
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62,
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62,
79,
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273,
10786,
27530,
14,
43358,
... | 2.46506 | 415 |
from tictactoe import TicTacToe
import random
import csv
import os
gameNr = 1
gameLimit = 10000
lst_moves_1 = []
lst_moves_2 = []
while gameNr <= gameLimit:
print("+++++++++++")
print("Game#", gameNr)
game = TicTacToe()
tmp_moves_1 = []
tmp_moves_2 = []
while game.get_winner() == 0 and game.... | [
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79... | 1.935185 | 756 |
from __future__ import print_function, absolute_import, division # makes these scripts backward compatible with python 2.6 and 2.7
# TODO this should be implemented, see "kratos/utilities/interval_utility.h" | [
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103... | 3.666667 | 57 |
import bitstring
import pytest
from stixcore.data.test import test_data
from stixcore.idb.manager import IDBManager
from stixcore.tmtc.packets import (
SOURCE_PACKET_HEADER_STRUCTURE,
TC_DATA_HEADER_STRUCTURE,
TM_DATA_HEADER_STRUCTURE,
SourcePacketHeader,
TCPacket,
TMDataHeader,
TMPacket,
... | [
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... | 2.306418 | 966 |
"""Provides SeriesLoader object and helpers, used to read Series data from disk or other filesystems.
"""
from collections import namedtuple
import json
from numpy import array, arange, frombuffer, load, ndarray, unravel_index, vstack
from numpy import dtype as dtypeFunc
from scipy.io import loadmat
from cStringIO impo... | [
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... | 2.980031 | 651 |
# run local models given a path, default to './mxnet_models/'
import os
import argparse
import time
import mxnet as mx
import numpy as np
file_path = os.path.realpath(__file__)
dir_name = os.path.dirname(file_path)
os.environ["MXNET_CUDNN_AUTOTUNE_DEFAULT"] = "0"
def xprint(s):
pass
parser = argparse.Argum... | [
2,
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3262,
355,
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87,
198,
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299,
32152,
355,
... | 2.412073 | 1,143 |
from lammps_data.angles import get_angles
| [
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62,
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13,
27787,
1330,
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62,
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628,
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] | 3.133333 | 15 |
# Generated by Django 3.1.1 on 2020-12-16 03:07
from django.db import migrations, models
| [
2,
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6738,
42625,
14208,
13,
9945,
1330,
15720,
602,
11,
4981,
628
] | 2.84375 | 32 |
from sklearn.preprocessing import StandardScaler
from sklearn.datasets import load_wine
from sklearn.model_selection import train_test_split
wine = load_wine()
columns_names = wine.feature_names
y = wine.target
X = wine.data
print('Pre scaling X')
print(X)
scaler = StandardScaler()
scaler.fit(X)
scaled_features = sc... | [
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62,
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62,
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62,
35312,
198,
198,
39002,
796,
3440,... | 2.873494 | 166 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Common Python library imports
import os
import pytest
# Pip package imports
from collections import namedtuple
from flask import template_rendered
from flask_security.signals import (
reset_password_instructions_sent,
user_confirmed,
user_registered,
)
# In... | [
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from setuptools import setup
from nats.aio.client import __version__
EXTRAS = {
'nkeys': ['nkeys'],
}
setup(
name='nats-py',
version=__version__,
description='NATS client for Python',
long_description='Python client for NATS, a lightweight, high-performance cloud native messaging system',
cla... | [
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19... | 2.560773 | 362 |
##############################################################
#*** MagicDAQ USB DAQ and M&A Board General Demo Script ***
##############################################################
#*** Websites ***
# MagicDAQ Website:
# https://www.magicdaq.com/
# API Docs Website:
# https://magicdaq.github.io/magicdaq_docs/
#*... | [
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... | 3.436062 | 3,738 |
from .results import (ArticleSearchResult, EmbeddingsResult, SearchResult,
TagResult, ZoteroExtractionResult)
__all__ = [
"TagResult", "EmbeddingsResult", "ZoteroExtractionResult", "SearchResult",
"ArticleSearchResult"
]
| [
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from django.contrib.auth import get_user_model
from rest_framework import serializers
| [
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] | 3.481481 | 27 |
# Copyright 2022 IBM Inc. All rights reserved
# SPDX-License-Identifier: Apache2.0
# 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 ... | [
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3... | 2.637151 | 1,039 |
#-------------------------------------------------------------------------------
# Name: module1
# Purpose:
#
# Author: qgeddes
#
# Created: 25/04/2013
# Copyright: (c) qgeddes 2013
# Licence: <your licence>
#-------------------------------------------------------------------------------
import L7... | [
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... | 2.915441 | 272 |
# -*- coding: utf-8 -*-
from __future__ import absolute_import
import six
from sentry.api.serializers import serialize
from sentry.models import SavedSearch
from sentry.models.savedsearch import DEFAULT_SAVED_SEARCHES
from sentry.testutils import TestCase
| [
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5... | 3.170732 | 82 |
"""
#;+
#; NAME:
#; general
#; Version 1.0
#;
#; PURPOSE:
#; Module for monkeying with files and filenames
#; 172Sep-2014 by JXP
#;-
#;------------------------------------------------------------------------------
"""
# Import libraries
import numpy as np
from astropy.io import fits
from astropy.io import as... | [
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... | 3.145695 | 151 |
#!/usr/bin/env python
try:
from setuptools.core import setup
except ImportError:
from distutils.core import setup
setup(name='genderizer',
version='0.1.2.3',
license='MIT',
description='Genderizer tries to infer gender information looking at first name and/or making text analysis',
lo... | [
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9058,
628,
198,
... | 2.651822 | 247 |
# Copyright 2022 Collate
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software... | [
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2,
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921... | 3.769784 | 278 |
# -*- coding: utf-8 -*-
from storyruntime.Containers import Containers
from storyruntime.constants.ServiceConstants import ServiceConstants
import storyscript
def test_containers_format_command(story):
"""
Ensures a simple resolve can be performed
"""
story_text = 'alpine echo msg:"foo"\n'
story.... | [
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1204... | 2.140957 | 376 |
from django.contrib import admin
from django.shortcuts import redirect
from django.utils.safestring import mark_safe
from django.contrib.admin.widgets import AdminFileWidget
def redirect_one_object(model, obj):
response = redirect(f'/admin/{model._meta.app_label}/{model._meta.model_name}/add/')
if obj:
... | [
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... | 2.753623 | 207 |
import os
plane = [[0 for i in range(1000)] for j in range(1000)]
count = [0]
if __name__ == "__main__":
overlapping_vents()
| [
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22... | 2.607843 | 51 |
import unittest
if __name__ == '__main__':
unittest.main()
| [
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3419,
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] | 2.392857 | 28 |
###############################################################################
#
# Tests for XlsxWriter.
#
# Copyright (c), 2013-2019, John McNamara, jmcnamara@cpan.org
#
import unittest
from ...compatibility import StringIO
from ...worksheet import Worksheet
| [
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from neo4j.v1 import GraphDatabase #neo4j==1.7.0
uri="bolt://localhost:7687"
driver=GraphDatabase.driver(uri, auth=("neo4j", "testneo4j"))
#execute_read(print_query,'Alice') | [
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28,
720... | 2.5 | 70 |
import os
import tempfile
import mock
from . import utils
from hotsos.core.config import setup_config
from hotsos.core.ycheck.scenarios import YScenarioChecker
from hotsos.core.issues.utils import KnownBugsStore, IssuesStore
from hotsos.plugin_extensions.juju import summary
JOURNALCTL_CAPPEDPOSITIONLOST = """
Dec 2... | [
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33915,
418,
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13,
88,
9122,
13,
1416,
268... | 3.682369 | 743 |
import argparse
import collections
import shutil
import sys
import time
from datetime import timedelta
from pathlib import Path
import torch
from torch.nn.parallel import DataParallel, DistributedDataParallel
try:
# PyTorch >= 1.6 supports mixed precision training
from torch.cuda.amp import autocast
amp_su... | [
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13,
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13,
1845... | 2.866841 | 383 |
import logging
import requests
import multiprocessing
import pathlib
from typing import List
from typing import Optional
from typing import Tuple
from typing import Dict
from joblib import delayed
from joblib import Parallel
from datetime import date
from datetime import timedelta
logger = logging.getLogger(__name__)
... | [
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... | 3.945652 | 92 |
# -*- coding: utf-8 -*-
"""
Created on Wed Oct 21 19:52:22 2020
#Plan A
@author: 18096
"""
'''Defines the neural network, loss function and metrics'''
#from functools import reduce
import torch
import torch.nn as nn
from torch.nn.functional import pad
from torch.autograd import Variable
import logging
... | [
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... | 2.725926 | 135 |
import pytest
| [
11748,
12972,
9288,
628
] | 3.75 | 4 |
# Copyright (c) 2017 Yingxin Cheng
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wr... | [
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13,
... | 3.795455 | 264 |
"""Test suite for pylab_import_all magic
Modified from the irunner module but using regex.
"""
# Global to make tests extra verbose and help debugging
VERBOSE = True
# stdlib imports
import StringIO
import sys
import unittest
import re
# IPython imports
from IPython.lib import irunner
from IPython.testing import dec... | [
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577,
290,
1037,
28769,
198,
5959,
... | 3.133333 | 180 |
import logging
import os
import shutil
import time
import torch
model_state = 'model_state.pt'
trainer_state = 'trainer_state.pt'
| [
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62,
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62,
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... | 3.022727 | 44 |
import numpy as np
import torch
import os
import cv2
import importlib
from dataset import *
from PIL import Image
from argparse import ArgumentParser
from torch.autograd import Variable
from torch.utils.data import DataLoader
from torchvision.transforms import Compose, CenterCrop, Normalize, Resize
from torchvision.tr... | [
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198,
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1330,
45751,
46677,
198,
198,
... | 3.029106 | 481 |
import pytest
from pytest import raises
from pydantic_jsonapi.resource_linkage import ResourceLinkage
from pydantic import BaseModel, ValidationError
| [
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1... | 3.731707 | 41 |
import numpy as np
from keras.datasets import mnist
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation
from keras.optimizers import SGD
from keras.utils import np_utils
import keras.callbacks
import keras.backend.tensorflow_backend as KTF
import tensorflow as tf
batch_size = 1... | [
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11,
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448,
11,
... | 2.407059 | 850 |
#!/usr/bin/env python3
# Copyright 2019-2021 ETH Zurich and the DaCe authors. All rights reserved.
from dace.transformation.dataflow.streaming_memory import StreamingMemory
from dace.transformation.interstate.sdfg_nesting import InlineSDFG
from dace.transformation.interstate.fpga_transform_sdfg import FPGATransformSDF... | [
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288,
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13,
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13,
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13,
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278,
... | 2.395854 | 1,013 |
import math
from typing import List, Union
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
if __name__ == "__main__":
input = torch.zeros(1, 512, 13, 13)
output = spatial_pyramid_pool(input, [1, 2, 3], "max")
print(output.shape)
| [
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"""
usage requires these additional modules
pip install azure-batch azure-storage-blob jsonschema pyyaml && pip install git+https://github.com/microsoft/SparseSC.git@ad4bf27edb28f517508f6934f21eb65d17fb6543 && scgrad start
usage:
from SparseSC import fit, aggregate_batch_results
from SparseSC.utils.azure_batch_clie... | [
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4... | 2.545006 | 7,910 |
from .visual_entailment_dataset import VisualEntailmentDataset
| [
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# Basic Fantasy RPG Dungeoneer Suite
# Copyright 2007-2012 Chris Gonnerman
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# Redistributions of source code must retain the above copyright
# no... | [
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... | 1.761238 | 6,718 |
from flask import Flask, current_app
from flask import render_template
from flask import jsonify
from jieba.analyse import extract_tags
import string
from DB import chinaSQL
from DB import worldSQL
app = Flask(__name__, template_folder='../../web', static_folder='../../static')
... | [
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# Generated by Django 2.0.2 on 2018-02-17 10:50
from django.db import migrations, models
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#!/usr/bin/env python3
# Simple and dumb script to send a message to the #podman IRC channel on frenode
# Based on example from: https://pythonspot.com/building-an-irc-bot/
import os
import time
import random
import errno
import socket
import sys
if len(sys.argv) < 3:
print("Error: Must pass desired nick and me... | [
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13... | 2.589744 | 234 |
from changes.api.base import APIView
from changes.lib.coverage import get_coverage_by_build_id, merged_coverage_data
from changes.models.build import Build
| [
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"""Compliant mechanism synthesis problems using topology optimization."""
import numpy
import scipy.sparse
from ..problems import ElasticityProblem
from .boundary_conditions import MechanismSynthesisBoundaryConditions
from ..utils import deleterowcol
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