content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
import numpy as np
from ukfm import SO3, SE3
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
class PENDULUM:
"""Pendulum example, where the state lives on the 2-sphere.
See a text description of the spherical pendulum dynamics in
:cite:`sjobergAn2019`, Section 7, and :cite:`kotaru... | [
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"""Run the Sample ACE problem from [Breiman85]_."""
import numpy.random
import scipy.special
from ace import ace
def build_sample_ace_problem_breiman85(N=200):
"""Sample problem from Breiman 1985."""
x_cubed = numpy.random.standard_normal(N)
x = scipy.special.cbrt(x_cubed)
noise = numpy.random.stand... | [
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"""
Modifications copyright (C) 2020 Michael Strobl
"""
import pprint
import configparser
pp = pprint.PrettyPrinter()
#endinit
if __name__=='__main__':
c = Config("configs/allnew_mentions_config.ini", verbose=True)
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import pandas as pd
import dill as pickle
# sklearn
from sklearn.model_selection import train_test_split
import json
import os
import numpy as np
import matplotlib.pyplot as plt
import itertools
from collections import Counter
# sklearn
from sklearn.preprocessing import MinMaxScaler
from sklearn.metrics import roc_au... | [
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"""Utility functions for interacting with the console"""
#-----------------------------------------------------------------------------
# Copyright (c) 2013, the IPython Development Team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distributed with this ... | [
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# coding=utf-8
from os import sys, path
from logging import getLogger
from items.view import app
sys.path.append(path.dirname(path.abspath(__file__)))
logger = getLogger(__name__)
logger.info(sys.path)
if __name__ == '__main__':
app.run(host='0.0.0.0', port=8080)
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from lib import action
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"""
********************************************************************************
* Name: gen_commands.py
* Author: Nathan Swain
* Created On: 2015
* Copyright: (c) Brigham Young University 2015
* License: BSD 2-Clause
********************************************************************************
"""
import os
imp... | [
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if __name__ == "__main__":
grid = [[0 for x in range(9)] for y in range(9)]
grid = [[3, 0, 6, 5, 0, 8, 4, 0, 0],
[5, 2, 0, 0, 0, 0, 0, 0, 0],
[0, 8, 7, 0, 0, 0, 0, 3, 1],
[0, 0, 3, 0, 1, 0, 0, 8, 0],
[9, 0, 0, 8, 6, 3, 0, 0, 5],
... | [
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# -*- coding: utf-8 -*-
#
# Hymn documentation build configuration file
import os
import sys
PROJECT_DIR = os.path.abspath(os.path.join(os.path.dirname(__file__), '../'))
sys.path.insert(0, PROJECT_DIR)
import hymn
extensions = [
'sphinx.ext.autodoc',
'sphinx.ext.coverage',
'sphinx.ext.viewcode',
]
sourc... | [
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# coding=utf-8
from services.base import BaseService
from services.service_locator import ServiceLocator
from logger import error
__author__ = 'Glebov Boris'
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import os
from typing import List
import random
import h5py
import numpy as np
from PIL import Image, ImageFile
import threading
# force pillow to load also truncated images
ImageFile.LOAD_TRUNCATED_IMAGES = True
# number of images to take from the folder
N_EL = int(5e5)
# path/to/folder that contains the images. No p... | [
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import urllib.request
import os
import argparse
from bs4 import BeautifulSoup
parser = argparse.ArgumentParser()
parser.add_argument("url", type=str, nargs=1, help="Main url with list of recipe URLs")
parser.add_argument("cuisine", type=str, nargs=1, help="Type of cuisine on the main url page")
parser.add_argument("pa... | [
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"""
Here are declare all the settings of the app.
1. Database configurations.
2. Develop config
3. Prod config
4. Also default config that is develop
"""
import os
# file' path
BASE_DIR = os.path.abspath(os.path.dirname(__file__))
#main class configuration
# Develop configuration
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... | 2.852071 | 169 |
import pytest
from django.urls import reverse
from freezegun import freeze_time
from rest_framework import status
from datahub.company_referral.test.factories import (
ClosedCompanyReferralFactory,
CompanyReferralFactory,
)
from datahub.core.test_utils import format_date_or_datetime, get_attr_or_none
from data... | [
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"""
The AwsIamTester class implements all necessary logic to run validations on an account, role or user.
"""
# pylint: disable=broad-except,C0103,E0401,R0912,R0913,R0914,R0915,R1702,W0603,W1203
from __future__ import annotations
import os
import sys
import errno
import json
import logging
import re
import time
impo... | [
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#!/usr/bin/python -u
import datetime
import calendar
if __name__ == "__main__":
print datetime.datetime.today().weekday() # 3
print calendar.day_name[datetime.datetime.today().weekday()]
# Thursday
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from rich.console import Console
import subprocess as sp
import time
import click
@click.command()
@click.option('--path','-p',help='Path of file to watch')
@click.option('--arguments','-args',help='Arguments to run when file changes')
@click.option('--delay','-d',default=4,help='Delay in seconds')
def star... | [
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import json
import os
from lib.object_documentor import (
documentize_object,
documentize_prop,
documentize_array,
)
file_name = input("Specify json to document: ")
file = open(file_name)
data = json.load(file)
# Iterating through the json
lines = [" Prop | Type | Description | Example \n", "----|----|-... | [
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# Blackheart Day Damage Skin
success = sm.addDamageSkin(2435313)
if success:
sm.chat("The Blackheart Day Damage Skin has been added to your account's damage skin collection.")
# sm.consumeItem(2435313)
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import numpy as np
import tensorflow as tf
from tensorflow.keras import backend as K
from tensorflow.keras.layers import Layer
class ScheduledDropout(Layer):
"""Applies Scheduled Dropout to the input.
The Dropout layer randomly sets input units to 0 with a frequency of `rate`
scheduled by network... | [
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import re
string = ""
while True:
command = input()
if command == "":
break
else:
string += " "+command
search_patter = r"(www\.([A-Za-z0-9]+((-[A-Za-z0-9]+))*)\.([a-z]+((\.[a-z]+))*))"
for i in re.findall(search_patter, string):
print(i[0]) | [
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"""
Do not modify this file. It is generated from the Swagger specification.
Container module for JSONSchema definitions.
This does not include inlined definitions.
The pretty-printing functionality provided by the json module is superior to
what is provided by pformat, hence the use of json.loads().
"""
import json
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... | 3.675676 | 148 |
# VMware vCloud Director Python SDK
# Copyright (c) 2014-2019 VMware, Inc. All Rights Reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
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... | 2.287694 | 3,681 |
import graphene
from graphene import relay
from api.schema.benefit import BenefitQuery
from api.schema.branch import BranchQuery
from api.schema.cultural_fit import CulturalFitQuery
from api.schema.dashboard import DashboardQuery
from api.schema.faq_category import FAQCategoryQuery
from api.schema.company import Compa... | [
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... | 3.707048 | 454 |
import pandas as pd
import h5py
from sentence_transformers import SentenceTransformer, util
import re
import pickle
class Sample():
"""Samples a relevant paper given an input, using corpus_embeddings
"""
def sample(self, paper_id, abstract, title):
"""Given paper_text ( = paper_abstract+paper_tit... | [
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# Copyright (c) Facebook, Inc. and its affiliates.
from mmf.common.registry import registry
from mmf.datasets.builders.visual_genome.builder import VisualGenomeBuilder
from mmf.datasets.builders.visual_genome.masked_dataset import MaskedVisualGenomeDataset
@registry.register_builder("masked_visual_genome")
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1561... | 3.206186 | 97 |
from unittest import TestCase
from core.download import DownloadHelperMulti, DownLoadUrl, DownLoadUrlAdvance
# def test
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#!/usr/bin/env python3
# The MIT License (MIT)
#
# Copyright (c) 2017 allancth
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights... | [
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... | 3.241463 | 410 |
from pathlib import Path
EXP_NAME = 'Transformer32'
EPOCH = 20
EMBEDDING_DIM = 64
ENCODER_STACK = 6
ATTENTION_HEAD = 1
DROPOUT = 0.1
LR = 0.0001
BATCH_SIZE = 32
AUGMENTATION = None
MAX_FEATURE = 32
SMOTE_SEED = 23904
PYTORCH_SEED = 321295675063
PYTHON_SEED = 123146427
ML_SEED = 32129
MODEL_DIR = Path.cwd() / "models... | [
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#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Tue Mar 31 11:55:42 2020
@author: esteban
"""
# Este script necesita que instales
# conda install geopandas
#conda install -c conda-forge descartes
fechaAAnalizar='2020-05-04'
alFecha=" al 04/05"
cuarentena_total=['Arica',
'Estación C... | [
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2... | 2.039841 | 5,045 |
#!/usr/bin/env python
#
# Copyright (c) 2019, Arista Networks, Inc.
# 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 notice,
# ... | [
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1... | 2.549626 | 3,073 |
# Space: O(1)
# Time: O(n)
| [
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#!/usr/bin/env python
import rospy
from mavros_msgs.msg import PositionTarget
from geometry_msgs.msg import PoseStamped
from std_msgs.msg import Float32, String, Bool
if __name__ == '__main__':
rospy.init_node('checker_1')
server = Server()
rospy.Subscriber("/uav1/mavros/local_position/pose", PoseStampe... | [
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... | 2.606742 | 178 |
"""Models!"""
from pathlib import Path
import re
import glob
from django.db import models
from django.urls import reverse
from gbt_archive.utils import get_archive_path
class History(models.Model):
"""Stores history of CSV exports, intended for AAT consumption"""
historyid = models.AutoField(db_column="... | [
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6... | 2.83557 | 298 |
from talon import ctrl, noise, actions
noise.register(
"pop",
lambda m: ctrl.mouse_click()
if actions.speech.enabled()
else actions.speech.enable(),
)
| [
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4... | 2.666667 | 63 |
from PIL import Image
from io import BytesIO
from base64 import b64decode
import numpy
import re
import cv2
import random
from collections import namedtuple
from math import hypot
if cv2.__version__.split()[0] == '3':
old_find_contours = cv2.findContours
cv2.findContours = new_find_contours
RotatedRect = n... | [
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import ubelt as ub
import numpy as np
from . import embeding
from . import util
__all__ = ['InteractiveIter']
INDEXABLE_TYPES = (list, tuple, np.ndarray)
class InteractiveIter(object):
"""
Choose next value interactively
iterable should be a list, not a generator. sorry
"""
def __init__(iiter... | [
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62,
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47,... | 2.043153 | 2,943 |
import cv2 as cv
import numpy as np
import kociemba
DEBUG = False
eps = 0.00001
firstRead = []
secondRead = []
firstDone = False
cam = cv.VideoCapture(0)
cam.set(cv.CAP_PROP_FRAME_HEIGHT, 720)
W, H = int(cam.get(cv.CAP_PROP_FRAME_WIDTH)), int(cam.get(cv.CAP_PROP_FRAME_HEIGHT))
if W != 1280 or H != 720:
print("WAR... | [
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... | 1.767335 | 13,556 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
__metaclss__=type
import random
import math
import collections
from PIL import Image, ImageDraw, ImageFont
from utils.font import FontObj
from utils.color import Color
import skimage.util
import numpy as np
import cv2
import matplotlib.pyplot as plt
import sys
import time... | [
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350,... | 2.897638 | 127 |
from dimacs import load_file
| [
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] | 3.625 | 8 |
# Code behind module for DCAL_Custom_Mosaics.ipynb
################################
##
## Import Statments
##
################################
# Import standard Python modules
import sys
import datacube
# Import DCAL utilities containing function definitions used generally across DCAL
sys.path.append('../DCAL_utils'... | [
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1... | 4.623656 | 93 |
import fulfillment
fulfillment.core.api_key = 'YOUR_API_KEY_GOES_HERE'
# set debug to true to get print json
fulfillment.core.Debug = True
fulfillment.Warehouse.retrieveALL()
| [
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r"""
Solve Poisson equation in 2D with periodic bcs in one direction
and homogeneous Neumann in the other
\nabla^2 u = f,
Use Fourier basis for the periodic direction and Shen's Neumann basis for the
non-periodic direction.
The equation to solve is
(\nabla^2 u, v) = (f, v)
"""
import sys
import os
from sy... | [
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11... | 2.505988 | 1,002 |
import subprocess
import itertools
command="xrandr --listmonitors"
output = subprocess.run(command.split(), stdout=subprocess.PIPE, check=True, text=True)
output = output.stdout
displays_lines = output.split('\n')[1:-1]
displays = []
for line in displays_lines:
displays.append(line.split()[-1])
options = []
fo... | [
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... | 2.454829 | 321 |
from random import randint
import threading
# Variavel global
n_populacao = []
# funcoes
if __name__ == '__main__':
# Leitura do arquivo externo (instancias)
file = open("100.txt")
arquivo = file.read() # ler a cadeia de caracteres do arquivo .txt
instancias = arquivo.split() # separar e agrupar os caracteres
# ... | [
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19... | 1.867358 | 3,566 |
# -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2017-07-25 11:53
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
| [
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17201,
874,
201,... | 2.586667 | 75 |
# Generated by Django 3.0 on 2020-10-16 11:43
from django.db import migrations, models
| [
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11,
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628
] | 2.966667 | 30 |
#!/usr/bin/env python
#
# Copyright @2014 blackshirtmuslim@yahoo.com
# Licensed: see Python license
"""Utility module"""
import json
import uuid
import hashlib
from decimal import Decimal
from datetime import date, datetime
from tornado import concurrent, ioloop
from concurrent.futures import ThreadPoolExecutor
de... | [
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198,
... | 3.151786 | 336 |
from main import summation,summation1
| [
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] | 3.545455 | 11 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# В строке могут присутствовать скобки как круглые, так и квадратные скобки. Каждой
# открывающей скобке соответствует закрывающая того же типа (круглой – круглая,
# квадратной- квадратная). Напишите рекурсивную функцию, проверяющую правильность
# расстановки скобок в... | [
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118,
16843,
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120,
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111,
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12466,
... | 1.094987 | 379 |
from functools import partial, reduce
from itertools import chain, product
from math import sqrt
def cluster_iter(clustered, point, threshold):
"""Add a point to a grid-like cluster structure.
This allows comparing point distances only to clusters from nearby grids, not to all clusters. Useful when there... | [
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7,
565,
436,
1068,
11,
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11,
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2599,
198,
... | 2.902287 | 962 |
from django.http import HttpResponse
from django.shortcuts import render, render_to_response, RequestContext
from uno.models import Question_m
from django.views.generic import FormView
from uno.forms import Question_f
import requests
#rom uno.info import information
from copy import deepcopy
from uno.a import i... | [
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198,
6738,
555,
78,
13,
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1330,
18233,
62,
76,
201,
198,
673... | 3.2 | 155 |
from .user_id import UserID
from .channel_id import ChannelID
from .enum_converter import EnumConverter
from .boolean_converter import BooleanConverter
from .colour_converter import ColourConverter
from .filtered_user import FilteredUser, FilteredMember
from .number_converter import NumberConverter
| [
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... | 3.448276 | 87 |
import torch as t
from torch import nn
import math as m
import torchvision.models as models
import numpy as np
import matplotlib.pyplot as plt
import copy
'''neural_net.py: Custom network object deriving from nn.Module to track the architecture '''
__author__ = "Luis Quinones"
__email__ = "luis@complicitmatter.com"
__... | [
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198,... | 2.182765 | 5,663 |
import argparse
import logging
import os
import unittest
from keras.layers import recurrent
import numpy as np
from shcomplete.model2correct import Seq2seq, generate_model, get_chars, train_correct
from shcomplete.model2correct import generator_misprints, dislpay_sample_correction
if __name__ == '__main__':
u... | [
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17,
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1001... | 3.284314 | 102 |
import unittest
from draftjs_exporter.error import ConfigException
from draftjs_exporter.options import Options
| [
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] | 3.931034 | 29 |
import unittest
from zope.testing import doctest, module
import zc.set
if __name__ == '__main__':
unittest.main(defaultTest='test_suite')
| [
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13,
1241... | 2.735849 | 53 |
import os
import tarfile
output = os.path.splitext(input)[0]
try:
os.makedirs(output)
except OSError:
if not os.path.exists(output):
raise
with tarfile.open(input, 'r') as tf:
tf.extractall(output)
| [
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5188,
81,... | 2.265306 | 98 |
import enum
import struct
from .abstract import AbstractNode
from .utils import ValuedNodeMixin, NodeContext
| [
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from gevent import monkey
monkey.patch_time()
monkey.patch_socket()
import abc
import datetime
import time
from rx.concurrency.eventloopscheduler import EventLoopScheduler
from rx.concurrency.historicalscheduler import HistoricalScheduler
from rx.concurrency.mainloopscheduler import GEventScheduler
from rx.concurren... | [
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# coding: utf-8
# Node class based on the book "Inteligencia Artificial - Fundamentos, práctica y aplicaciones" by Alberto García Serrano | [
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] | 3.341463 | 41 |
numero = int(input("Fatorial de: ") )
resultado=1
count=1
while count <= numero:
resultado *= count
count --1
print(resultado)
| [
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... | 2.464286 | 56 |
import torch
import os
import torch.nn as nn
import logging
import time
from sklearn.metrics import f1_score, classification_report, confusion_matrix
from transformers import BertForSequenceClassification
| [
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... | 3.961538 | 52 |
import numpy as np
from scipy import signal
import matplotlib.pyplot as plt
import cv2
numDem=500
numRep=500
numColumns=50
numRows=50
numGrid=numColumns*numRows
windowSize=3
kernel=np.ones((windowSize,windowSize))
kernel[(windowSize-1)/2,(windowSize-1)/2]=0
numIter=100
valueThreshold=0.375*((windowSize**2)-1) #S... | [
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... | 2.644468 | 931 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# download some test data to run example notebook
#
# Author: M. Giomi (matteo.giomi@desy.de)
import os
from urllib.request import urlretrieve
from shutil import unpack_archive
| [
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2,
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6759... | 2.72619 | 84 |
import plasma
import plasmafx
from plasmafx import plugins
import time
FPS = 60
NUM_LIGHTS = 10
plasma.set_light_count(10)
sequence = plasmafx.Sequence(NUM_LIGHTS)
for x in range(NUM_LIGHTS):
sequence.set_plugin(x, plugins.FXCycle(
speed=2,
spread=5,
offset=(360.0/NUM_LIGHTS) * x
))
... | [
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... | 2.122507 | 351 |
# Copyright 2020 Akamai Technologies, 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... | [
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1... | 2.950729 | 1,441 |
load("@bazel_tools//tools/build_defs/repo:utils.bzl", "maybe")
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
| [
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... | 2.357143 | 56 |
url = r"onlinelibrary.wiley.com/journal/{ID}/(?P<ISSN>\(ISSN\)[\d-]*)"
extractor_args = dict(restrict_text=[r"author\s*guidelines"])
template = (
"https://onlinelibrary.wiley.com/page/journal/{ID}/{ISSN}/homepage/forauthors.html"
)
| [
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... | 2.226415 | 106 |
import json
from flask import Flask, request, jsonify, make_response
from flask_restful import Api, Resource, reqparse
from simplexml import dumps
from estimator import estimator
app = Flask(__name__)
api = Api(app, default_mediatype=None)
@api.representation('application/json')
def output_xml(data, code, headers=No... | [
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1330,
... | 2.157895 | 532 |
import torch
import torch.nn as nn
import torch.nn.functional as F
import sys
from .layers import PixelShuffle_ICNR
| [
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20... | 2.421053 | 57 |
import os
import pandas as pd
df = pd.read_csv(
"{}/practice-pandas/data/test-participant.csv".format(os.getcwd()), sep=',', engine='python', verbose=True)
df_grouped = df.groupby("GENRE_CODE").count()
df_sorted = df_grouped["ID"].sort_values(ascending=False)
# Top 1000.
print(df_sorted.head(1000))
"""
GENRE_CO... | [
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14,
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7,
... | 1.886567 | 335 |
from vietocr.tool.translate import build_model, translate, translate_beam_search, process_input, predict
from vietocr.tool.utils import download_weights
from vietocr.tool.config import Cfg
import sys
import os
import cv2
import numpy as np
import math
import pandas as pd
import torch
import time
from cropper import Cro... | [
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... | 2.052817 | 1,420 |
a= 30
a //= 2
print(a)
| [
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] | 1.529412 | 17 |
##script used to combine multiple files into a matrix
import os, sys
import pandas as pd
import numpy as np
sum_matrix = open(sys.argv[1]+"_binary.matrix.txt","w")
# open with pandas
df = pd.read_csv(sys.argv[1], sep='\t', index_col = 0)
#get first line as title list
col_list= list(df.columns.values)
print (col_list... | [
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62,
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796,
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7,
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13,
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85,
58,
... | 1.983385 | 963 |
from django.urls import path
from .views import index, TodoDetailView
from django.conf import settings
urlpatterns = [
path('', index),
path('edit/<int:pk>', TodoDetailView.as_view()),
path('delete/<int:pk>', TodoDetailView.as_view()),
]
react_routes = getattr(settings, 'REACT_ROUTES', [])
for route i... | [
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107... | 2.39645 | 169 |
#!/usr/bin/python
#
# Copyright (c) 2017, United States Government, as represented by the
# Administrator of the National Aeronautics and Space Administration.
#
# All rights reserved.
#
# The Astrobee platform is licensed under the Apache License, Version 2.0
# (the "License"); you may not use this file except in comp... | [
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290,
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2,
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2489,... | 2.885906 | 1,043 |
from datetime import timedelta
from flask import request, current_app
from flask_jwt_extended import jwt_required, create_access_token, get_jwt_identity
from marshmallow.exceptions import ValidationError
from sqlalchemy import or_
from app.api.utils import success_response, error_response, get_items_per_page, get_req... | [
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62,
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62,
7... | 2.96729 | 214 |
import os
import torch
import warnings
warnings.filterwarnings('ignore')
from hpbandster.core.worker import Worker
from nes.ensemble_selection.create_baselearners import create_baselearner
| [
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1... | 3.641509 | 53 |
import tkinter
from tkinter import ttk
mainclass()
| [
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] | 1.772727 | 44 |
#!/usr/bin/env python3
from math import sqrt
# init conds
x = [15, 15, f(15, 15)]
lamb = 2
xold = [99, 99, f(99, 99)]
while dist(xold, x) > 0.5 and lamb >= 0.0001:
print("x:", x)
print("xold", xold)
xnew = grad(*x)
xnew = [x[0] - lamb * xnew[0], x[1] - lamb * xnew[1], 0]
xnew[2] = f(xnew[0], ... | [
2,
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198,... | 1.857664 | 274 |
# coding=utf-8
"""
Definition of models.
"""
from django.contrib.auth.models import User
from django.db import models
from django.urls import reverse
| [
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637... | 3.208333 | 48 |
from PyQt5.QtCore import Qt
from PyQt5.QtWidgets import (QSlider, QStyleOptionSlider, QStyle)
import time
| [
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] | 2.547619 | 42 |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from .. import _utilitie... | [
2,
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2141,
407,
4370,
416,
1021,
4556,
345,
821,
1728,
345,
760... | 3.03 | 300 |
from django import forms
from django.utils.translation import gettext_lazy as _
from rusel.base.forms import BaseCreateForm, BaseEditForm
from rusel.widgets import DateInput, Select, NumberInput, UrlsInput
from task.const import NUM_ROLE_SERVICE, APART_SERVICE
from task.models import Task
from apart.config import app_... | [
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... | 3.601695 | 118 |
import sensor, time, image
# Reset sensor
sensor.reset()
# Sensor settings
sensor.set_contrast(1)
sensor.set_gainceiling(16)
sensor.set_framesize(sensor.QCIF)
sensor.set_pixformat(sensor.GRAYSCALE)
# Load Haar Cascade
# By default this will use all stages, lower satges is faster but less accurate.
face_cascade = ima... | [
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... | 2.838275 | 371 |
from rti_python.Ensemble.Ensemble import Ensemble
import logging
class InstrumentVelocity:
"""
Instrument Velocity DataSet.
[Bin x Beam] data.
"""
def decode(self, data):
"""
Take the data bytearray. Decode the data to populate
the velocities.
:param d... | [
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... | 1.936637 | 1,231 |
from django.core.management.base import BaseCommand, CommandError
from odds.domain.models.manager.betTypeManager import BetTypeManager
from odds.domain.models.bet import Bet
from odds.domain.models.sureBet import SureBet
from odds.domain.models.manager.SureBetManager import SureBetManager
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... | 3.895349 | 86 |
# -*- coding: utf-8 -*-
# flake8: noqa
"""
Defintion of the campaign and datasets for 2016 legacy rereco data.
"""
import order as od
from analysis.config.processes import *
# campaign
campaign_name = "Run2_pp_13TeV_Legacy16"
campaign = od.Campaign(
campaign_name, 2,
ecm=13,
bx=25,
)
# datasets
data... | [
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... | 1.936888 | 8,065 |
#!/usr/bin/env python
import csv
import argparse
import numpy as np
import pandas as pd
import tqdm
# Modified from: CosmiQ Solaris
# https://github.com/CosmiQ/solaris/blob/master/solaris/preproc/sar.py
def haversine(lat1, lon1, lat2, lon2, rad=False, radius=6.371E6):
"""
Haversine formula for distance betwee... | [
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1043... | 2.327314 | 443 |
# import the main window object (mw) from aqt
from aqt import mw
# import the "show info" tool from utils.py
from aqt.utils import showInfo
# import all of the Qt GUI library
from aqt.qt import *
# We're going to add a menu item below. First we want to create a function to
# be called when the menu item is activated.... | [
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19... | 3.20442 | 181 |
from __future__ import absolute_import
import logging
from flask import current_app
from changes.api.build_index import BuildIndexAPIView
from changes.models import ProjectStatus, Project, ProjectConfigError, ProjectOptionsHelper, Revision
from changes.utils.diff_parser import DiffParser
from changes.utils.project_tr... | [
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import timeit
import selenium.webdriver
from selenium import webdriver
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
import time
import pandas as pd
... | [
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... | 2.470339 | 944 |
import sys
import logging
import time
import tensorflow as tf
tf.compat.v1.enable_v2_behavior()
from tf_agents.drivers import dynamic_step_driver
from tf_agents.drivers import dynamic_episode_driver
from modules.runtime.commons.parameters import ParameterServer
from tf_agents.metrics import tf_metrics
from tf_agents.... | [
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... | 2.683835 | 1,262 |
#!/usr/bin/env python
from setuptools import setup, find_packages
import versioneer
INSTALL_REQUIRES = open("requirements.txt").readlines()
setup(
name="lagtraj",
version=versioneer.get_version(),
cmdclass=versioneer.get_cmdclass(),
description="Python trajectory code for Lagrangian simulations",
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961... | 2.60274 | 292 |
#executar um audio mp3
import pygame
pygame.init()
pygame.mixer.music.load('BlackDog.mp3')
pygame.mixer.music.play()
pygame.event.wait()
| [
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263... | 2.464286 | 56 |
from dataclasses import dataclass
from bindings.gmd.geometric_complex_type import GeometricComplexType
__NAMESPACE__ = "http://www.opengis.net/gml"
@dataclass
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... | 2.842105 | 57 |
from .base import registered_device_types # noqa
from .kettle_redmond import RedmondKettle # noqa
from .xiaomi_ht import XiaomiHumidityTemperatureV1 # noqa
from .xiaomi_lywsd03 import XiaomiHumidityTemperatureLYWSD # noqa
| [
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import sys, getopt, subprocess
from src.common.load_h5 import H5COUNTS
from src.preprocess.build_h5_GSE103224 import build_h5
import pandas as pd
# # Load data
# scRNAdata = H5COUNTS('data/GSE103224.h5')
# # Preprocess data
# scRNAdata.preprocess_data(log_normalize=True, filter_genes=False, n_neighbors=False, umap=Fal... | [
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6... | 2.720217 | 554 |