content stringlengths 1 1.05M | input_ids listlengths 1 883k | ratio_char_token float64 1 22.9 | token_count int64 1 883k |
|---|---|---|---|
import xmlrpc.client
if __name__ == '__main__':
main()
| [
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# Generated by Django 3.0.7 on 2020-07-27 19:23
import build.models
from django.db import migrations, models
| [
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] | 3 | 37 |
import argparse
import os
import torch
import yaml
DEFAULT_DEVICE = 'cuda:0'
| [
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from webdnn.backend.webgl.optimize_rules.simplify_channel_mode_conversion.simplify_nonsense_channel_mode_conversion import \
SimplifyNonsenseChannelModeConversion
from webdnn.backend.webgl.optimize_rules.simplify_channel_mode_conversion.simplify_redundant_channel_mode_conversion import \
SimplifyRedundantChanne... | [
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"""
The constants used in FLV files and their meanings.
"""
# Tag type
(TAG_TYPE_AUDIO, TAG_TYPE_VIDEO, TAG_TYPE_SCRIPT) = (8, 9, 18)
# Sound format
(SOUND_FORMAT_PCM_PLATFORM_ENDIAN,
SOUND_FORMAT_ADPCM,
SOUND_FORMAT_MP3,
SOUND_FORMAT_PCM_LITTLE_ENDIAN,
SOUND_FORMAT_NELLYMOSER_16KHZ,
SOUND_FORMAT_NELLYMOSER_8KH... | [
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... | 2.005015 | 1,994 |
from nltk.corpus import semcor
# if __name__ == "__main__":
# s = semcor.tagged_sents(tag='sem')[0]
# for chunk in s:
# a = semcor_chunk(chunk)
# print a.get_syn_set()
# for chunk in s:
# a = semcor_chunk(chunk)
# print a.get_words() | [
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... | 1.97619 | 126 |
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers
from load_cora import load_cora
from baseline_model import create_ffn
from utils import run_experiment
from utils import display_learning_curves
# Graph convolution layer
if __name__ == '__main__':
papers, train_data, test_... | [
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... | 2.772346 | 716 |
"""Discover Samsung Smart TV services."""
from . import SSDPDiscoverable
from ..const import ATTR_NAME
# For some models, Samsung forces a [TV] prefix to the user-specified name.
FORCED_NAME_PREFIX = '[TV]'
| [
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... | 3.42623 | 61 |
"""Package for reverse-engineering."""
from .rpa import *
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# Generated by Django 3.2.5 on 2021-12-21 19:42
from django.db import migrations
| [
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"""
This is the most simple scenario with a basic topology, some users and a set of apps with only one service.
@author: Isaac Lera
"""
import os
import time
import json
import random
import logging.config
import networkx as nx
import numpy as np
from pathlib import Path
from yafs.core import Sim
from yafs.a... | [
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... | 2.408435 | 901 |
from db import db
# class RisklayerPrognosisSchema(SQLAlchemyAutoSchema):
# class Meta:
# strict = True
# model = RisklayerPrognosis
#
# timestamp = fields.Timestamp(data_key="datenbestand")
# prognosis = fields.Number(data_key="prognosis")
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... | 2.567308 | 104 |
import os
import unittest
os.environ['DJANGO_SETTINGS_MODULE'] = 'settings'
import django
if django.VERSION >= (1, 7):
django.setup()
from django import forms
from django.db import models
from django.forms.forms import NON_FIELD_ERRORS
from django_secureform.forms import SecureForm
if __name__ == '__main_... | [
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import cv2 as cv
import numpy as np
cap = cv.VideoCapture(1)
print(cap.get(cv.CAP_PROP_FRAME_WIDTH))
print(cap.get(cv.CAP_PROP_FRAME_HEIGHT))
cap.set(3,3000)
cap.set(4,3000)
print(cap.get(cv.CAP_PROP_FRAME_WIDTH))
print(cap.get(cv.CAP_PROP_FRAME_HEIGHT))
while (cap.isOpened()):
ret , frame = cap.read()
if... | [
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... | 1.995968 | 248 |
# from pypy-benchmarks/own/chaos.py, with some minor modifications
# (more output, took out the benchmark harness)
#
import random, math, sys, time
SIZE = 9
GAMES = 200
KOMI = 7.5
EMPTY, WHITE, BLACK = 0, 1, 2
SHOW = {EMPTY: '.', WHITE: 'o', BLACK: 'x'}
PASS = -1
MAXMOVES = SIZE*SIZE*3
TIMESTAMP = 0
MOVES = 0
def us... | [
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# SPDX-FileCopyrightText: 2014 MicroPython & CircuitPython contributors (https://github.com/adafruit/circuitpython/graphs/contributors)
#
# SPDX-License-Identifier: MIT
import argparse
import os
import sys
sys.path.append("../../tools/usb_descriptor")
from adafruit_usb_descriptor import audio, audio10, cdc, hid, mi... | [
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... | 2.381063 | 9,875 |
from tqdm import tqdm
import pandas as pd
import numpy as np, argparse, time, pickle, random, os, datetime
import torch
import torch.optim as optim
from model import MaskedNLLLoss, BC_LSTM
from dataloader import MELDDataLoader
from sklearn.metrics import f1_score, confusion_matrix, accuracy_score, classification_re... | [
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11... | 2.119454 | 1,758 |
#!/usr/bin/env python
import os
import sys
import argparse
import pat3dem.star as p3s
import math
if __name__ == '__main__':
main()
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834... | 2.603774 | 53 |
from bs4 import BeautifulSoup
import pandas as pd
import requests
import time
import sys
def reviews_scraper(asin_list, filename):
'''
Takes a list of asins, retrieves html for reviews page, and parses out key data points
Parameters
----------
List of ASINs (list of strings)
Returns:
-----... | [
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# noinspection PyUnresolvedReferences
import os
import re
# TODO I'm going to need to make a dictionary for my big list of stuff i care about and what's needed for
# every file type....
RAF = ['EXIF:LensModel', 'MakerNotes:RawImageHeight', 'MakerNotes:RawImageWidth', 'EXIF:CreateDate', 'EXIF:ModifyDate',
'EXI... | [
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3... | 2.229547 | 1,699 |
import logging
from typing import List, Callable
import numpy as np
from pyquaternion import Quaternion
from pyrep import PyRep
from pyrep.errors import IKError
from pyrep.objects import Dummy, Object
from rlbench import utils
from rlbench.action_modes import ArmActionMode, ActionMode
from rlbench.backend.exceptions ... | [
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13... | 3.125 | 224 |
from django import forms
from django.contrib.contenttypes.forms import generic_inlineformset_factory
from django.contrib.contenttypes.models import ContentType
from django.db import models
from django.test import TestCase
from django.test.utils import isolate_apps
from .models import (
Animal, ForProxyMode... | [
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... | 3.208333 | 120 |
from .PyPolyBoRi import (BooleSet, Polynomial, BoolePolynomialVector,
FGLMStrategy)
def _fglm(I, from_ring, to_ring):
r"""
Unchecked variant of fglm
"""
vec = BoolePolynomialVector(I)
return FGLMStrategy(from_ring, to_ring, vec).main()
def fglm(I, from_ring, to_ring):
... | [
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498,
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220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,... | 2.12942 | 1,499 |
"""
Uses UMAP (https://umap-learn.readthedocs.io/en/latest/index.html) to reduce course
embeddings to two dimensions for visualization.
"""
import pandas as pd
import umap
from sklearn.preprocessing import StandardScaler
from ferry import config
courses = pd.read_csv(
config.DATA_DIR / "course_embeddings/courses_... | [
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... | 2.587662 | 308 |
import inheritance
shark = Predator('baby shark','sea','all',20)
giraffe = Mammal('malwan','earth',20)
giraffe.check_planet(inheritance.friendly)
marti = Mammal('marti','earth',20)
marti.check_planet(inheritance.friendly)
print(inheritance.friendly.__dict__)
print(inheritance.Planet.__dict__)
| [
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... | 2.831776 | 107 |
#!/usr/bin/python
# -*- coding: utf-8 -*-
# Copyright (C) 2017, Luis Pedro Coelho <luis@luispedro.org>
# vim: set ts=4 sts=4 sw=4 expandtab smartindent:
#
# 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... | [
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19... | 3.454787 | 376 |
"""Tests for simple search controller, :mod:`search.controllers.simple`."""
from http import HTTPStatus
from unittest import TestCase, mock
from werkzeug.datastructures import MultiDict
from werkzeug.exceptions import InternalServerError, NotFound, BadRequest
from search.domain import SimpleQuery
from search.control... | [
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266,... | 3.577465 | 142 |
#!/usr/bin/env python
# ROS Libraries
import actionlib
from actionlib_msgs.msg import GoalStatus
from control_msgs.msg import JointTrajectoryControllerState, FollowJointTrajectoryAction, FollowJointTrajectoryGoal
from kuri_wandering_robot.msg import Power
from wandering_behavior.msg import WanderAction, WanderGoal
impo... | [
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... | 3.348361 | 244 |
# - Generated by tools/entrypoint_compiler.py: do not edit by hand
"""
Trainers.LightGbmBinaryClassifier
"""
import numbers
from ..utils.entrypoints import EntryPoint
from ..utils.utils import try_set, unlist
def trainers_lightgbmbinaryclassifier(
training_data,
predictor_model=None,
number_... | [
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11748,
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198,
198,
6738,
1148... | 2.173328 | 5,354 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (C) 2010 Radim Rehurek <radimrehurek@seznam.cz>
# Licensed under the GNU LGPL v2.1 - http://www.gnu.org/licenses/lgpl.html
"""
Automated tests for checking transformation algorithms (the models package).
"""
import logging
import unittest
import numpy as n... | [
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... | 2.699571 | 233 |
import tensorflow as tf
from tensorflow import keras
| [
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import base64
import datetime
import logging
import os
import time
from typing import List, Tuple
import structlog
import tenacity
from averbis import Pipeline
from fhir.resources.bundle import Bundle
from fhir.resources.codeableconcept import CodeableConcept
from fhir.resources.composition import Composition, Composi... | [
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# -*- coding: utf-8 -*-
from selectable.decorators import login_required
from maestros.models import TiposMedidasActuacion, TiposLimitesCriticos, TiposMedidasVigilancia, TiposTemperaturas, TiposFrecuencias, Zonas, Terceros, CatalogoEquipos, Personal, Consumibles, ParametrosAnalisis, Actividades, Etapas, Peligros, Tipos... | [
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19... | 2.805274 | 493 |
"""Define commands for Python 2.7"""
import argparse
import traceback
from . import util
from .cmd import run
from .cmd import extractpipenv
def main():
"""Main function"""
print("This version is not supported! It has limitted analysis features")
parser = argparse.ArgumentParser(description='Analyze Jupyt... | [
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... | 2.37931 | 348 |
#!/usr/bin/env python
import os
import imp
gpcrondump_path = os.path.abspath('gpcrondump')
gpcrondump = imp.load_source('gpcrondump', gpcrondump_path)
import unittest2 as unittest
from datetime import datetime
from gppylib import gplog
from gpcrondump import GpCronDump
from gppylib.operations.utils import DEFAULT_NUM_... | [
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#!/usr/bin/env python
'''
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")... | [
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... | 3.894309 | 246 |
#!/usr/bin/env python
# Copyright (c) 2017 Google Inc. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""
Verifies the use of linker flags in environment variables.
In this test, gyp and build both run in same local environment.
"""
import ... | [
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# -*- coding: utf-8 -*-
from .context import sample
| [
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] | 2.571429 | 21 |
######################################################################
# LeetCode Problem Number : 145
# Difficulty Level : Medium
# URL : https://leetcode.com/problems/binary-tree-postorder-traversal/
######################################################################
from binary_search_tree.tree_node import TreeNo... | [
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# -*- coding: utf-8 -*-
"""This python module aims to manage
`DokuWiki <https://www.dokuwiki.org/dokuwiki>`_ wikis by using the
provided `XML-RPC API <https://www.dokuwiki.org/devel:xmlrpc>`_. It is
compatible with python2.7 and python3+.
Installation
------------
It is on `PyPi <https://pypi.python.org/pypi/dokuwik... | [
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4... | 2.479991 | 4,248 |
import setuptools
import re
with open("README.md", "r") as fh:
long_description = fh.read()
# get version from _version.py file, from below
# https://stackoverflow.com/questions/458550/standard-way-to-embed-version-into-python-package
VERSION_FILE = "test_aide/_version.py"
version_file_str = open(VERSION_FILE, "r... | [
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48... | 2.709091 | 495 |
"""Simple matshow() example."""
from matplotlib.pylab import *
def samplemat(dims):
"""Make a matrix with all zeros and increasing elements on the diagonal"""
aa = zeros(dims)
for i in range(min(dims)):
aa[i, i] = i
return aa
# Display 2 matrices of different sizes
dimlist = [(12, 12), (15, ... | [
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... | 2.642487 | 193 |
#! /usr/bin/env python3
import importlib
import logging
import os
import subprocess
from setuptools import setup
from setuptools.command.install import install as install
from setuptools.command.develop import develop as develop
logger = logging.getLogger(__name__)
stan_model_files = [
os.path.join("nonperiod... | [
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900,
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13,
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13,
... | 2.566292 | 445 |
import os
import h5py
import nibabel as nb
import numpy as np
import torch
import torch.utils.data as data
from torchvision import transforms
import utils.preprocessor as preprocessor
# transform_train = transforms.Compose([
# transforms.RandomCrop(200, padding=56),
# transforms.ToTensor(),
# ])
# d... | [
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11... | 2.340405 | 2,027 |
import argparse
import yaml
import sys
from .conf import MysqlConf
from lib.db import mysql
parser = argparse.ArgumentParser()
parser.add_argument("--config", help="config file name", type=str, required=False, default='office')
input_args = parser.parse_args()
| [
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... | 3.384615 | 78 |
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'design.ui'
#
# Created by: PyQt5 UI code generator 5.15.4
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what you are doing.
from PyQt5 import QtC... | [
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2,
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83,
20,
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2438,
173... | 2.804878 | 123 |
from simulation.car import spawn_drivers
from simulation.passenger import spawn_passengers
from simulation.core import World, Clock
conf = {
"x": 100,
"y": 100,
"drivers": 200,
"users": 1000,
"start": "2019-07-08T00:00:00",
"end": "2019-07-08T00:01:00"
}
clock = Clock(conf["start"], conf["end"... | [
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... | 2.584416 | 231 |
#!/bin/python3
import math
import os
import random
import re
import sys
#
# Complete the 'reverse_words_order_and_swap_cases' function below.
#
# The function is expected to return a STRING.
# The function accepts STRING sentence as parameter.
#
sentence = input()
news = reverse_words_order_and_swap_cases(sentence... | [
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62,
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... | 3.180952 | 105 |
import json
d1 = {}
with open("/home/qinyuan/zs/out/bart-large-with-description-grouped-1e-5-outerbsz4-innerbsz32-adapterdim4-unfreeze-dec29/test_predictions.jsonl") as fin:
for line in fin:
d = json.loads(line)
d1[d["id"]] = d["output"][0]["answer"]
d2 = {}
dq = {}
with open("/home/qinyuan/zs/out... | [
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12,
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68,
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12,
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89,
19,
12,
... | 1.886364 | 660 |
import json, requests
from pprint import pprint
CREEDS_URL = 'http://amp.pharm.mssm.edu/CREEDS/'
response = requests.get(CREEDS_URL + 'search', params={'q':'STAT3'})
if response.status_code == 200:
pprint(response.json())
json.dump(response.json(), open('api1_result.json', 'wb'), indent=4)
| [
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7007,
13,
1136... | 2.672727 | 110 |
# Generated by Django 2.2.3 on 2019-07-31 13:54
from django.db import migrations, models
| [
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1330,
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] | 2.84375 | 32 |
# Forma sem bugs
expressao = (str(input('Digite a expresso: ')))
pilhaParenteses = []
for v in expressao:
if v == '(':
pilhaParenteses.append('(')
elif v == ')':
if len(pilhaParenteses) > 0:
pilhaParenteses.pop()
else:
pilhaParenteses.append(')')
brea... | [
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220... | 2.160656 | 305 |
# Copyright 2018 TNG Technology Consulting GmbH, Unterfhring, Germany
# Licensed under the Apache License, Version 2.0 - see LICENSE.md in project root directory
import logging
from xml.sax.saxutils import escape
log = logging.getLogger()
| [
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... | 3.573529 | 68 |
import dash_core_components as dcc
import dash_html_components as html
import plotly.graph_objs as go
import plotly.express as px
from plotly.subplots import make_subplots
import pandas as pd
import math
from datetime import datetime, time
from utils import MONTH_NAMES, month_range
"""
TODO: Terminar el heatmap de al... | [
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71... | 2.490722 | 485 |
# -*- coding: utf-8 -*-
from gengine.app.tests.base import BaseDBTest
from gengine.app.tests.helpers import create_user, update_user, delete_user, get_or_create_language
from gengine.metadata import DBSession
from gengine.app.model import AuthUser
| [
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... | 3.060241 | 83 |
from __future__ import annotations
import collections
import copy
import itertools
import math
import os
import posixpath
from io import BytesIO, StringIO
from textwrap import indent
from typing import Any, Dict, List, MutableMapping, Optional, Tuple, Union
from fontTools.misc import etree as ET
from fontTools.misc i... | [
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198... | 2.368076 | 20,129 |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from typing import Any, Optional, Tuple
import torch
from botorch.acquisition.acquisition import AcquisitionFunction
... | [
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... | 2.7773 | 1,163 |
# Copyright 2018 the Autoware Foundation
#
# 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... | [
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# USAGE
# python example.py --source images/ocean_sunset.jpg --target images/ocean_day.jpg
# import the necessary packages
from color_transfer import color_transfer
import numpy as np
import argparse
import cv2
# construct the argument parser and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument("-s"... | [
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... | 3.259939 | 327 |
import copy
import numpy as np
import open3d as o3d
from tqdm import tqdm
from scipy import stats
import utils_o3d as utils
if __name__ == '__main__':
run()
| [
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#!/usr/bin/env python
# -*- encoding: utf-8 -*-
# Copyright (c) 2002-2019 "Neo4j,"
# Neo4j Sweden AB [http://neo4j.com]
#
# This file is part of Neo4j.
#
# 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 L... | [
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... | 2.626697 | 884 |
import os
import imp
from setuptools import setup, find_packages
__version__ = imp.load_source(
"hsfs.version", os.path.join("hsfs", "version.py")
).__version__
setup(
name="hsfs",
version=__version__,
install_requires=[
"pyhumps==1.6.1",
"requests",
"furl",
"boto3",... | [
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#!/usr/bin/env python3
from . import signup, signin, signout, update, info, detail
| [
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# Optional list of dependencies required by the package
dependencies = ['torch']
from focal_loss import FocalLoss, focal_loss
| [
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#!/usr/bin/env python
###############################################################################
# $Id$
#
# Project: GDAL/OGR Test Suite
# Purpose: Test GPX driver functionality.
# Author: Even Rouault <even dot rouault at mines dash paris dot org>
#
###########################################################... | [
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# Code Taken from https://github.com/LYH-YF/MWPToolkit
# -*- encoding: utf-8 -*-
# @Author: Yihuai Lan
# @Time: 2021/08/21 04:59:55
# @File: sausolver.py
import random
import torch
from torch import nn
import copy
from module.Encoder.rnn_encoder import BasicRNNEncoder
from module.Embedder.basic_embedder import BasicE... | [
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2... | 3.089888 | 267 |
import unittest
from functools import partial
import pandas as pd
from pandas.util.testing import assert_frame_equal, assert_series_equal
import numpy as np
import threading
from StringIO import StringIO
from rosetta.parallel import parallel_easy, pandas_easy
from rosetta.parallel.threading_easy import threading_easy... | [
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import time
import srt
import re
import datetime
from mqtthandler import MQTTHandler
INIT_STATUS={
"video": {
"title": None,
"series_title": None,
"season": None,
"episode": None
},
"time": None,
"events": None
}
| [
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1298... | 2.165289 | 121 |
#!/usr/bin/env python
import os
import numpy as np
import pandas as pd
os.getcwd()
# Request for the filename
# Current version of this script works only with TSV type files
mainFilename = input('Input your file name (diabetes.tab.txt or housing.data.txt): ')
print()
# To create proper dataframe, transforming it wi... | [
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3419,
198,
198,
2,
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329,
262,
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2,
92... | 3.148649 | 370 |
from donkeycar.parts.web_controller.web import WebSocketCalibrateAPI
from functools import partial
from tornado import testing
import tornado.websocket
import tornado.web
import tornado.ioloop
import json
from unittest.mock import Mock
from donkeycar.parts.actuator import PWMSteering, PWMThrottle
| [
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# TracIncludeMacro macros
import re
import urllib2
from StringIO import StringIO
from trac.core import *
from trac.wiki.macros import WikiMacroBase
from trac.wiki.formatter import system_message
from trac.wiki.model import WikiPage
from trac.mimeview.api import Mimeview, get_mimetype, Context
from trac.perm import IPe... | [
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... | 2.776596 | 188 |
# Copyright 2016 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 law or agreed to in writing, ... | [
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2845,
287,
11846,
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262,
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2,
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743,
... | 2.394016 | 3,977 |
from __future__ import absolute_import
from unittest import TestCase
import os
import importlib
import inspect
from plotly.basedatatypes import BasePlotlyType, BaseFigure
datatypes_root = "new_plotly/graph_objs"
datatype_modules = [
dirpath.replace("/", ".")
for dirpath, _, _ in os.walk(datatypes_root)
if... | [
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import logging
from collections import namedtuple
from . import export
log = logging.getLogger(__name__)
NO_QUERY = 0
PARSED_QUERY = 1
RAW_QUERY = 2
SpecialCommand = namedtuple('SpecialCommand',
['handler', 'command', 'shortcut', 'description', 'arg_type', 'hidden',
'case_sensitive'])
COMMANDS ... | [
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... | 2.527697 | 343 |
from abc import ABC, abstractmethod
| [
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] | 4.111111 | 9 |
# convert2.py
# A program to convert Celsius temps to Fahrenheit.
# This version issues heat and cold warnings.
main() | [
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"""The Wolf SmartSet Service integration."""
from datetime import timedelta
import logging
from httpx import ConnectError, ConnectTimeout
from wolf_smartset.token_auth import InvalidAuth
from wolf_smartset.wolf_client import FetchFailed, ParameterReadError, WolfClient
from homeassistant.config_entries import ConfigEn... | [
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... | 3.196653 | 239 |
# test
ld = LevenshteinDistance()
ld.solve('kitten','sitting')
ld.show() | [
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] | 2.571429 | 28 |
import numpy as np
import unittest
from pyapprox.benchmarks.spectral_diffusion import (
kronecker_product_2d, chebyshev_derivative_matrix,
SteadyStateDiffusionEquation2D, SteadyStateDiffusionEquation1D
)
from pyapprox.univariate_polynomials.quadrature import gauss_jacobi_pts_wts_1D
import pyapprox as pya
if... | [
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220,
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62,
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62,
17,
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48209,... | 2.614634 | 205 |
import torch
from torch import nn
from torch.nn import functional as F
from torchdrug import layers
| [
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1330,
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] | 4.04 | 25 |
#!/usr/bin/env python3
import logging
import json
import os
__author__ = 'adamkoziol'
| [
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324,
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] | 2.806452 | 31 |
import numpy as np
from sklearn.utils.multiclass import type_of_target
from mindware.base_estimator import BaseEstimator
from mindware.components.utils.constants import type_dict, MULTILABEL_CLS, IMG_CLS, TEXT_CLS, OBJECT_DET
from mindware.components.feature_engineering.transformation_graph import DataNode
| [
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55... | 3.131313 | 99 |
# -*- coding: utf-8 -*-
import scrapy
import json
import os
import codecs
from AnimeSpider.items import AnimespiderItem
| [
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] | 3.025 | 40 |
import cv2
print cv2.__version__
| [
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] | 2.266667 | 15 |
"""Setup for pytest-testplan plugin."""
from setuptools import setup
setup(
name='pytest-testplan',
version='0.1.0',
description='A pytest plugin to generate a CSV test report.',
author='Darlene Wong',
author_email='darlene.py@gmail.com',
license='MIT',
py_modules=['pytest_testplan'],
... | [
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3256,
198,
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220,
220,
2196,
11639,
15,
... | 2.632911 | 158 |
# GPU
# https://paddlex.readthedocs.io/zh_CN/develop/appendix/parameters.html#gpu
import os
os.environ['CUDA_VISIBLE_DEVICES'] = '0'
from paddlex.det import transforms
import paddlex as pdx
#
aluminum_dataset = 'https://bj.bcebos.com/paddlex/examples/industrial_quality_inspection/datasets/aluminum_inspection.tar.gz'... | [
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17816,
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563... | 2.46538 | 881 |
# Generated by Django 3.1.4 on 2021-01-07 19:32
from django.db import migrations, models
import django.db.models.deletion
| [
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6... | 2.818182 | 44 |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import wooey.models.mixins
| [
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1... | 2.913043 | 46 |
#!/usr/bin/python
"""
Firewall for munkireport.
By Tuxudo
Will return all details about how the firewall is configured
"""
import subprocess
import os
import sys
import platform
import re
import plistlib
import json
sys.path.insert(0,'/usr/local/munki')
sys.path.insert(0, '/usr/local/munkireport')
from munkilib impo... | [
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# AUTOGENERATED! DO NOT EDIT! File to edit: nbs/metrics.ipynb (unless otherwise specified).
__all__ = ['recall_at_k', 'precision_at_k']
# Cell
from typing import List
# Cell
def recall_at_k(predictions: List[int], targets: List[int], k: int = 10) -> float:
"""Computes `Recall@k` from the given predictions and ta... | [
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#!/usr/bin/env/ python
import os
from math import pi
import numpy as np
from numpy import ma
from scipy.optimize import leastsq
import matplotlib.pyplot as plt
from uncertainties import ufloat
# local modules
from .io import load_pendulum_mat_file
def average_rectified_sections(data):
'''Returns a slice of an o... | [
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... | 2.293565 | 6,806 |
import time
import warnings
import matplotlib.pyplot as plt
import numpy as np
import sympy as sp
from .global_qbx import global_qbx_self
from .mesh import apply_interp_mat, gauss_rule, panelize_symbolic_surface, upsample
# prep step 2: find the minimum distance at which integrals are computed
# to the required to... | [
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# -*- coding: utf-8 -*-
BROKER_URL = 'amqp://guest@localhost//'
CELERY_ACCEPT_CONTENT = ['json'],
CELERY_RESULT_BACKEND = 'amqp://guest@localhost//'
CELERY_RESULT_SERIALIZER = 'json'
CELERY_TASK_SERIALIZER = 'json'
CELERY_TIMEZONE = 'Asia/Shanghai'
CELERY_ENABLE_UTC = False
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import logging as log
| [
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] | 4.6 | 5 |
import aspose.email
from aspose.email.clients.imap import ImapClient
from aspose.email.clients import SecurityOptions
from aspose.email.clients.imap import ImapQueryBuilder
import datetime as dt
if __name__ == '__main__':
run()
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# Server UID
SERVER_UID = 45158729
# Setup Logging system #########################################
#
import os
from FileConsoleLogger import FileConsoleLogger
ServerLogger = FileConsoleLogger( os.path.join(os.path.dirname(os.path.abspath(__file__)), "_w3server.log") )
W3Logger = FileConsoleLogger( os.path.join(os.pa... | [
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from regression_tests import *
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import subprocess | [
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# -*- coding: utf-8 -*-
# Copyright: (c) 2018, Ansible Project
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
DOCUMENTATION = """
become: runas
short_description: Run As user
... | [
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
~Gros
'''
from hashlib import sha256
import random
def add_padding(data, block_size=16):
"""add PKCS#7 padding"""
size = block_size - (len(data)%block_size)
return data+chr(size)*size
def strip_padding(data, block_size=16):
"""strip PKCS#7 padding"... | [
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