content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
# -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# Bootstrap RST
# Copyright (c) 2014, Nicolas P. Rougier
# Distributed under the (new) BSD License. See LICENSE.txt for more info.
# -----------------------------------------------------------------------------
from ... | [
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from arl.graphs.dask_init import get_dask_Client
c=get_dask_Client()
print(c.scheduler_info())
exit()
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from unittest import TestCase
import day9
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import os
import multiprocessing
# number of cores to use in parallel processing
ncores = multiprocessing.cpu_count()
# don't use max number b/c of windows bug: https://bugs.python.org/issue26903
if os.name == 'nt' and ncores >= 64:
ncores = 60
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... | 2.988095 | 84 |
import random
import math
random.seed(0)
# APPROXIMATING USING A SIMULATION
def sameDate(numPeople, numSame):
"""Two arguments, number of people in the group and the number of people that
we ask if they have birthday the same day."""
# I am assuming that every birthday is equally likely
possibleDates ... | [
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import json
from copy import deepcopy as copy
from traitlets import HasTraits, Unicode, validate, TraitError
from ._util import Util
class ParamsAuth0(HasTraits):
"""
See Auth0 doc https://auth0.com/docs/api/authentication#authorize-application
"""
name = Unicode()
response_type = Unicode()
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... | 1.900421 | 1,898 |
from django.shortcuts import render, redirect
import viewalertmgmt.DBOPS.MongoDBOps as db
from django.contrib.auth.decorators import login_required
from .form import FormReAssignment
from django.contrib.auth.models import User
@login_required(login_url="/account/login/")
@login_required(login_url="/account/login/")... | [
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133... | 3.14966 | 147 |
import xlsWriter
import xlsPlot
import xlsReader
# importation de xlsWriter
data = {"keys":[chr(65+i) for i in range(10)],"data":[i for i in range(10)],"d":[i+1 for i in range(10)],"da":[i+2 for i in range(10)]}
xls = xlsWriter.xlsWriter()
xls.AddData(data, KeysCol="keys", Title=("Données",4,4))
xls.SaveFile() # sa... | [
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... | 2.423858 | 394 |
from . import views
from django.urls import path, include
urlpatterns = [path('', views.job_list), path('', views.job_details),]
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... | 2.833333 | 48 |
import unittest
from libsousou import module_loading
if __name__ == '__main__':
unittest.main()
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# pylint: disable=missing-function-docstring, no-self-use, missing-class-docstring, no-member
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (c) Microsoft Corporation.
# Licensed under the GNU General Public License v3.0 or later.
# See License.txt in the project root for license information.
#
import uui... | [
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import uuid
menu = {
'Appetizers': {
'Wings': 8.00,
'Spring Rolls': 5.00,
'Cookies': 2.00,
'Grilled Squid': 8.00,
'Crab Wonton': 6.00,
'Satay': 7.00
},
'Entrees': {
'Salmon': 15.00,
'Steak': 20.00,
'Meat Tornado': 25.00,
'A Li... | [
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"""Uniform replay buffer."""
import functools
import numpy as np
import randomdict
from alpacka import data
class UniformReplayBuffer:
"""Replay buffer with uniform sampling.
Stores datapoints in a queue of fixed size. Adding to a full buffer
overwrites the oldest ones.
"""
def __init__(self,... | [
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1... | 2.323364 | 2,140 |
# ------------------------------------------------------------------------------
# Experiment class that tracks experiments with different configurations.
# The idea is that if multiple experiments are performed, all intermediate
# stored files and model states are within a directory for that experiment. In
# addition,... | [
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import os
import shutil
import stat
import traceback
from typing import (
Dict,
Iterable,
List,
Optional,
)
from norfs.fs.base import (
BaseFileSystem,
FSObjectPath,
FSObjectType,
FileSystemOperationError,
Path,
)
from norfs.permissions import Policy, Perm, Scope
_local_fs_perms... | [
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# Copyright (c) 2016 Luke San Antonio Bialecki
# All rights reserved.
import json
import re
from fixture import SQLAlchemyFixture
from flask_testing import TestCase
from . import data as test_data
from .. import models, exceptions as ex
from ..app import create_app
API_PREFIX = '/api/v1'
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# Generated by Django 3.1.7 on 2021-05-13 06:57
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
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from hcipy import *
import matplotlib.pyplot as plt
import numpy as np
pupil_grid = make_pupil_grid(512)
N = 9
zernike_basis = make_zernike_basis(N, 1, pupil_grid, 4)
for i,m in enumerate(zernike_basis):
plt.subplot(3,3,i+1)
imshow_field(zernike_basis[i], cmap='RdBu')
plt.axis('off')
plt.show()
aperture... | [
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... | 2.153659 | 410 |
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the 'License');
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
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428,
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11846,... | 3.718499 | 373 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import sys
import xlrd
#import xlwt
import csv
import codecs
from sklearn import svm
from sklearn import preprocessing
from sklearn.model_selection import train_test_split
from sklearn.model_selection import cross_val_score
from sklearn.model_selection import learning_cur... | [
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... | 2.436866 | 1,774 |
"""report draft
Revision ID: f6e0eb07959a
Revises: 2e713373295b
Create Date: 2018-03-08 10:09:45.220153
"""
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = "f6e0eb07959a"
down_revision = "2e713373295b"
branch_labels = None
depends_on = None
| [
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1... | 2.442623 | 122 |
"""
LibriSpeech Datasets
Copyright by https://github.com/willfrey
"""
from __future__ import print_function
import fnmatch
import glob
import os
from torchaudio import data
def _get_files(directory, pattern, recursive=True):
""" Return the full path to all files in directory matching the
specified pattern.... | [
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... | 2.592342 | 444 |
from setuptools import setup, find_packages
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
setup(
name="clarifai",
description='Clarifai API Python Client',
version='2.0.29',
author='Clarifai',
maintainer='Robert Wen',
maintainer_email='robert@cl... | [
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198,... | 2.082153 | 353 |
# Title: Lowest Common Ancestor of a Binary Tree
# Runtime: 92 ms
# Memory: 27.4 MB
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
TreeNodeInfo = collections.namedtuple('TreeNodeInfo', ['parent', 'level'... | [
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... | 2.306358 | 173 |
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | [
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2845... | 3.4 | 345 |
import jk_prettyprintobj
#
#
#
#
| [
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from ._ironclust import ironclust | [
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import time
from win10toast import ToastNotifier
toaster = ToastNotifier()
toaster.show_toast("Prepara memo para: Empleado: juan Perez - Fecha de Designacion: 08-20-2018",
"Python is 10 seconds awsm!",
icon_path="custom.ico",
duration=20)
toaster.show_toast("Exa... | [
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2... | 2.165441 | 272 |
from headers import lib
from . import msg_opaques, finaliser
from utils import voidp2bytes
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# -*- coding: utf8 -*-
import cmath
import math
from Tkinter import *
def load_naca(filename):
'''Loads naca profile from file
Files from http://airfoiltools.com/airfoil/naca4digit'''
xy = []
f = file(filename)
lines = f.readlines()
scaleFactor = 200
for line in lines[1:]:
# Referen... | [
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220,
220,
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2... | 2.104312 | 1,716 |
import sublime_plugin
import sublime
import os
| [
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# A plain hexbin-plot
fig, ax = plt.subplots(figsize=(8, 8))
scatter = ax.hexbin(x, y, cmap=plt.cm.Blues_r, gridsize=10)
ax.set_xlabel('X', fontsize=12)
ax.set_ylabel('Y', fontsize=12)
plt.tight_layout() | [
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import os
import shutil
import sys
import traceback
# Control data
control_dir = 'control_files'
control_files = ['mom.txt', 'me.txt']
# Input image data
base_data_dir = os.path.expanduser(r"~\Pictures\wedding_pictures")
# Output folder
base_output_dir = r"E:\Josh_Wedding"
# Populate correct subdirec... | [
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"""
Language specific settings
"""
from typing import Dict, Set
from shapiro.common import Rating, ranged_rating
from shapiro.tools import log, signum
from spacy.tokens import Token
_log = log
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... | 3.316667 | 60 |
import os
import json
import unittest
import Bio.Entrez as Entrez
from phenox.paths import PhenoXPaths
from phenox.geo_data import GEOQuery
paths = PhenoXPaths()
test_data_path = os.path.join(paths.test_dir, 'data', 'test_geo_data.json')
| [
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"""BuildAndInstallCPlusPlusProgram.py - Builds and installs a C++ program on Linux or Windows.
Usage: BuildAndInstallCPlusPlusProgram.py --solution-name=<String> --cmake-generator=<String> --cmake-build-type=<String> --tests-project-name=<String> [--cmake-definitions=<String>] (--install|--no-install)"""
import os
... | [
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from app.models import PhotoNotification, PhotoNotificationFromTenant
from flask import request
import logging
logger = logging.getLogger("logger")
def add_notification(body):
"""
:param: body: json, same format as Photo
add a column 'read' for nofitication
"""
try:
body['read'] = False
... | [
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from . import feature_extraction
from . import cluster
from . import mode_estimate
from . import kernclust
from . import run_kernel_clustering | [
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] | 3.641026 | 39 |
from pathlib import Path
from setuptools import setup
readme = Path(__file__).parent.joinpath('README.md')
if readme.exists():
with readme.open() as f:
long_description = f.read()
else:
long_description = '-'
setup(
name='cwf2neo',
version='0.77.0',
packages=['cwf2neo'],
include_packa... | [
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import argparse
import logging
from typing import Optional, Generator, Tuple, List, Union
from geo_cli.etl.pipeline.dsa.dsa_pipeline import DsaPipeline
from geo_cli.etl.pipeline.osn.osn_pipeline import OsnPipeline
from geo_cli.etl.pipeline.reverse_beacon.reverse_beacon_pipeline import ReverseBeaconPipeline
from geo_cl... | [
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"""rio-mbtiles package"""
import sys
import warnings
__version__ = "1.6.0"
if sys.version_info < (3, 7):
warnings.warn(
"Support for Python versions < 3.7 will be dropped in rio-mbtiles version 2.0",
FutureWarning,
stacklevel=2,
)
| [
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import os
import re
IMPORT_REGEX = re.compile(r"import\s*(?:static)*\s*(.+)")
| [
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9,
7,
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] | 2.222222 | 36 |
import sys
sys.path.append('/home/bsrivast/ssw_paper/project-CURRENNT-public/pyTools')
from os.path import join, basename
from ioTools import readwrite
import kaldi_io
import numpy as np
args = sys.argv
data_dir = args[1]
out_dir = args[2]
dataname = basename(data_dir)
xvector_file = "exp/0007_voxceleb_v2_1a/exp/xv... | [
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... | 2.193966 | 464 |
# Make a program that reports the amino acid composition in a file of proteins
#how many of each AA there are
#| sort -nk2 -> sort by total number of AA
import mcb185
import sys
total = 0
count = {} #want to go through every AA in aseqeunce and count how many we have
for name, seq in mcb185.read_fasta(sys.argv[1])... | [
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2... | 2.371429 | 560 |
import re
from icon_validator.styling import *
from icon_validator.rules.validator import KomandPluginValidator
from icon_validator.exceptions import ValidationException
| [
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from cone.app.model import AppNode
from cone.zodb.interfaces import IZODBEntry
from cone.zodb.interfaces import IZODBEntryNode
from node.behaviors import DefaultInit
from node.behaviors import Lifecycle
from node.behaviors import NodeChildValidate
from node.behaviors import Nodify
from node.behaviors import Storage
fro... | [
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import utils.gpu as gpu
from models.loss.segmentation_loss import SegmentationLosses
import torch
import torch.optim as optim
from torch.utils.data import DataLoader
import time
import argparse
from evals.evaluator import Evaluator
from utils.tools import *
import configs.deeplabv3plus_config_voc as cfg
from ... | [
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... | 2.650124 | 403 |
from threading import Lock
import warnings
| [
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] | 3 | 17 |
#!/usr/bin/python
# Copyright 2002, 2003 Dave Abrahams
# Copyright 2002, 2003, 2004, 2006 Vladimir Prus
# Distributed under the Boost Software License, Version 1.0.
# (See accompanying file LICENSE_1_0.txt or copy at
# http://www.boost.org/LICENSE_1_0.txt)
import BoostBuild
import os
t = BoostBuild.Tester(translate_... | [
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... | 2.219266 | 1,879 |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
| [
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] | 2.891892 | 37 |
assert(getattr(B(), "key") == "got key")
| [
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# Copyright 2020 The FedLearner Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
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11846... | 2.429752 | 968 |
import logging
import kubernetes
| [
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] | 3.777778 | 9 |
import intrepyd
import intrepyd.simulator
import intrepyd.trace
import unittest
if __name__ == '__main__':
unittest.main()
| [
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#!/usr/bin/env python
"""Initialize the extinctions package."""
import os
import glob
# Automatically import all modules (python files)
__all__ = [os.path.basename(m).replace('.py', '') for m in glob.glob("extinctions/*.py")
if '__init__' not in m] + ['extern']
# Set to True if you want to import all pre... | [
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... | 2.732919 | 161 |
import time
import argparse
import sys
from cyber_py3 import cyber
from modules.supervisor.proto.general_msg_pb2 import SV_info
TIMEOUT_CONST_TIME = 0.5
STD_DELAY = 0.2
timer_set = True
parser = argparse.ArgumentParser(description='Specify message content')
parser.add_argument('--f', type=float, default=0, help='FATA... | [
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from .layers import Time, Difference, LRS
import numpy as np
import tensorflow as tf
tf.logging.set_verbosity(tf.logging.ERROR)
import keras
from keras import backend as K
from keras.layers import Dense, BatchNormalization, Reshape, Conv1D, ZeroPadding1D, Lambda, Activation | [
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import logging
from .bot import BattleBot
| [
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] | 4.3 | 10 |
import scipy.spatial.distance as dist
from gensim.models import FastText
import random
import numpy as np
import torch
from dataset import AuxTables
from .featurizer import Featurizer
#GM
| [
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... | 3.436364 | 55 |
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
from hermes_python.hermes import Hermes
INTENT_HOW_ARE_YOU = "tmatthomasmartinch:how_are_you"
INTENT_GOOD = "tmatthomasmartinch:feeling_good"
INTENT_BAD = "bezzam:feeling_bad"
INTENT_ALRIGHT = "bezzam:feeling_alright"
INTENT_FILTER_FEELING = [INTENT_GOOD, INTENT_BAD, INT... | [
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7... | 2.210526 | 171 |
description = 'Stressi specific high temperature furnace with cooling down ' \
'option'
group = 'plugplay'
includes = ['alias_T']
tango_base = 'tango://%s:10000/box/' % setupname
devices = {
'T_%s' % setupname: device('nicos.devices.tango.TemperatureController',
desc... | [
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7... | 1.849365 | 1,102 |
"""
module for GNSS processing
"""
from copy import deepcopy
from enum import IntEnum
from math import floor, sin, cos, sqrt, asin, atan2, fabs
import numpy as np
gpst0 = [1980, 1, 6, 0, 0, 0]
class rCST():
""" class for constants """
CLIGHT = 299792458.0
MU_GPS = 3.9860050E14
MU_GAL... | [
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... | 1.689283 | 8,519 |
import pytrellis
pytrellis.load_database("./testdata")
c = pytrellis.Chip("testdev")
bits = {
(0, 0),
(10, 0),
(399, 0),
(0, 98),
(399, 97)
}
for b in bits:
c.cram.set_bit(b[0], b[1], 1)
bs = pytrellis.Bitstream.serialise_chip(c)
bs.metadata.append("test_metadata")
bs.write_bit("work/bitstream... | [
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import os
import random
import torch
import logging
import torchvision.datasets as datasets
from tensorboardX import SummaryWriter
from models import resnet
from visionmodel import VisionModel
from arguments import get_args
from utils import train, validate, Timer, build_task_name
from constants import _RANDOM_RESHUFF... | [
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5761,... | 2.938202 | 178 |
APIS = [{
'field_name': 'SymbolDescription',
'field_price': 'AvgPrice',
'field_symbol': 'Symbol',
'name': 'SASE',
'root': 'http://www.sase.ba',
'params': { 'type': 19 },
'request_type': "POST",
'status': 'FeedServices/HandlerChart.ashx',
'type': 'json'
}, {
'field_name': 'Descrip... | [
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10354,... | 2.264822 | 253 |
#coding:utf-8
#通过组合最小二乘法和梯度下降法，可以得到线性回归
wheat_and_bread = [[1, 6], [2, 5], [3, 7], [4, 10]]
s = gradient_descent_runner(wheat_and_bread, 1, 1, 0.01, 100)
print s
| [
2,
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... | 1.330709 | 127 |
import pytest
import colossalai
from colossalai.context.parallel_mode import ParallelMode
import torch.multiprocessing as mp
from colossalai.testing import rerun_if_address_is_in_use
from colossalai.utils.cuda import get_current_device
from colossalai.utils import free_port
from colossalai.utils import ColoInitContext
... | [
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... | 3.143333 | 300 |
from .base import PipBaseRecipe
| [
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14881,
37523,
628
] | 4.125 | 8 |
import os
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
PROJECT_DIR = os.path.dirname(BASE_DIR)
SECRET_KEY = os.getenv('SECRET_KEY')
DEBUG = bool(os.getenv('DEBUG', True))
SQL_ECHO = False
DATABASES = {
'default': {
'ENGINE': 'sqlite',
'HOST': os.getenv('DEFAULT_HOST')... | [
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... | 2.073239 | 355 |
import fnmatch
import os
import sys
dirs = [ ]
types = [ ]
excludes = [ ]
files = [ ]
# Default to accepting a list of directories first
curArray = dirs
# Iterate over the arguments and add them to the arrays
for i in range(1, len(sys.argv)):
arg = sys.argv[i]
if arg == "-dirs":
curArray = dirs
... | [
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... | 2.169757 | 701 |
#!/usr/bin/python
AA = [5, 3, 4, 7, 1, 6, 2, 8]
merg_sort(AA, 0, len(AA)-1)
print(AA)
AA = [23,34,44,3,2,3,44,5,66,7,5, 3, 4, 7, 1, 6, 2, 8]
merg_sort(AA, 0, len(AA)-1)
print(AA)
AA = [1000,999,998,997,996,995,994,993,992,991,990,989,988,987,986,985,984,983,982,981,980,979,978,977,976,975,974,973,972,971,970,969,96... | [
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7... | 1.776389 | 2,321 |
import ubermagutil as uu
import discretisedfield as df
import ubermagutil.typesystem as ts
from .energyterm import EnergyTerm
@uu.inherit_docs
@ts.typesystem(A=ts.Parameter(descriptor=ts.Scalar(), otherwise=df.Field))
class Exchange(EnergyTerm):
r"""Exchange energy term.
.. math::
w = - A \mathbf{m}... | [
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2... | 2.590769 | 650 |
# Copyright 2020 The TensorFlow 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 of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | [
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... | 3.613043 | 230 |
import re
from kaori.adapters.slack import SlackCommand, SlackMessage, SlackAdapter
class PingCommand(SlackCommand):
"""usage: {bot} ping - respond with pong"""
@staticmethod
| [
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#!/usr/bin/env python
"""Mixture of Gaussians.
Perform inference with Metropolis-Hastings. It utterly fails. This is
because we are proposing a sample in a high-dimensional space. The
acceptance ratio is so small that it is unlikely we'll ever accept a
proposed sample. A Gibbs-like extension ("MH within Gibbs"), which... | [
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62... | 2.453386 | 1,019 |
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'mainwindow.ui',
# licensing of 'mainwindow.ui' applies.
#
# Created: Wed Sep 29 12:04:37 2021
# by: pyside2-uic running on PySide2 5.13.2
#
# WARNING! All changes made in this file will be lost!
from PySide2 import QtCore, QtGui, QtWi... | [
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6,
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2,
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2,
... | 2.747899 | 119 |
import torch
import pyro
# The basic unit of probabilistic programming is the stochastic function, it's composed of:
# 1. deterministic function (e.g. function, nn.Module)
# 2. primitive stochastic functions that calls a random number generator
# Pyro calls stochastic functions "models"
# It seems like stofuncs are da... | [
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29... | 4.134938 | 1,371 |
#!/usr/bin/python
import os
import json
import base64
import io
import re
import uuid
import time
import shutil
import argparse
import shelve
import sys
import glob
import copy
import StringIO
import uuid
from collections import OrderedDict
os.umask(0022)
upg_ver = 4.0
cur_dir = os.path.dirname(os.path.realpath(__f... | [
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1... | 2.421162 | 4,319 |
import statzcw
if __name__ == '__main__':
print(zvariance([1,2,3,4,5])) | [
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] | 2 | 38 |
import graphene
from graphene_django import DjangoObjectType
from .models import Qualifying
| [
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764,
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1330,
9537,
4035,
628
] | 4.47619 | 21 |
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.pipeline import Pipeline
from sklearn.ensemble import ExtraTreesClassifier
# Create pipeline
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfTransformer
from sklearn.naive_bayes import M... | [
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11306,
1330,
17221,
51,
6037,
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7483,
198,
2,
... | 2.469663 | 445 |
import rospy
import geometry_msgs.msg
import numpy as np
import time
from nav_msgs.msg import Odometry
import math
#Pub Code
cmd = geometry_msgs.msg.Twist()
pub = rospy.Publisher('/cmd_vel', geometry_msgs.msg.Twist, queue_size=10)
rospy.init_node('SQ_F', anonymous=True)
rate = rospy.Rate(50) # 50hz
#Sub code
x=0.0... | [
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... | 2.29108 | 213 |
from lsh import Cluster, jaccard_sim
from .utils import *
def test_same_set():
"""A set should be clustered with itself"""
s = randset()
cluster = Cluster()
cluster.add_set(s)
cluster.add_set(s)
assert len(cluster.get_sets()) == 1
def test_similar_sets():
"""Two similar sets should be cl... | [
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32,
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... | 2.435772 | 615 |
from django.core.management.base import BaseCommand, CommandError
from question_api.models import (
Question, Answer, Tenant, User)
| [
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8,
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] | 3.512821 | 39 |
#!/usr/bin/env python
"""
Top level ``eval`` module.
"""
import tokenize
import warnings
from pandas.util._validators import validate_bool_kwarg
from pandas.core.computation.engines import _engines
from pandas.core.computation.scope import _ensure_scope
from pandas.io.formats.printing import pprint_thing
def _ch... | [
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2... | 2.504528 | 4,527 |
from tkinter import *
import tkinter.messagebox
from functools import partial
import Reportes.Tabla as ReporteTabla
import ascendente as asc
import ast.Entorno as Entorno
import ast.Ast as Ast
import Reportes.Errores as Reporte
obj = gui()
obj.iniciar()
| [
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#This script creates a directory called Fake_Experiments and puts all of the fake JSON files in there,
#These will be used by import_json.py for importing to mongo
#It then creates a file called bulkfile.json which is suitable for uploading to elasticsearch using the /_bulk endpoint
import random
import json
from faker... | [
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... | 3.2875 | 240 |
"""Provides integration with iCloud devices"""
import asyncio
import os
from typing import TYPE_CHECKING, Any, Dict, cast
import voluptuous as vol
from pyicloud import PyiCloudService
from pyicloud.services.findmyiphone import AppleDevice
from homecontrol.const import ItemStatus
from homecontrol.dependencies.action_d... | [
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1... | 2.818061 | 753 |
import itertools
import sys
from heapq import heappush, heappop
# from guppy import hpy
def BenchmarkTSP(model, LoadPickle=False):
"""used for evaluating the performance of creating preprocessing data"""
h = hpy()
warehouseData = readWarehouse(sys.argv[1]) # warehouseData contains {"items","minm... | [
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# Module to solve the Thomas-Fermi problem in 1D
import numpy as np
def create_K_matrix(x, E_scale=1.0, sigma=1.0, x_0 = 1.0):
'''
Input:
x : discrete 1D grid
E_scale : energy scale for the K matrix, default units is eV
sigma : impact paramter to prevent blow up at the same point
... | [
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62,
9888,
28,
16,
13,
15,
11,
264,
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28,
16,
13,... | 2.150674 | 2,449 |
from typing import List
if __name__ == '__main__':
print(Solution.rob([2, 3, 2]))
print(Solution.rob([0]))
print(Solution.rob([1, 2, 3, 1]))
print(Solution.rob([2, 3, 2, 50, 2]))
print(Solution.rob([2, 3, 2, 50, 2, 3, 1, 30, 5, 31])) | [
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"""
Set of unit tests for IndexDigestSource
"""
import unittest
from ..sources import IndexDigestSource
class IndexDigestSourceTestClass(unittest.TestCase):
"""
Unit tests for IndexDigestSource class
"""
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... | 3.173913 | 69 |
from sklearn.metrics import confusion_matrix
print(confusion_matrix(y_test, np.rint(y_pred)))
cf_10_3 = confusion_matrix(y_test, np.rint(y_pred))
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import os
import sys
import argparse
__cur_dir = os.path.dirname(os.path.realpath(__file__))
figs_dir = os.path.join(__cur_dir, 'figures/')
target_dir = os.path.join(__cur_dir, 'targets/')
if not os.path.exists(target_dir):
os.mkdir(target_dir)
template_fp = os.path.join(__cur_dir, 'fig_template.tmp')
... | [
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6... | 2.287709 | 358 |
#-*- coding: utf-8 -*-
import argparse
from http.server import HTTPServer, BaseHTTPRequestHandler
import json
import subprocess
import os
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Echo HTTP server.')
parser.add_argument('-a', '--address', help='default: 0.0.0.0'... | [
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2... | 2.53527 | 241 |
from keras import constraints
from keras import backend as K
class NonPos(constraints.Constraint):
"""Constrains the weights to be non-positive.
"""
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from QUANTAXIS.QAUtil import (QASETTING, DATABASE, QA_util_log_info)
from QUANTAXIS.QAUtil.QAParameter import (FREQUENCE)
import pandas as pd
from datetime import datetime
import time
from dateutil.tz import tzutc
import pymongo
from QUANTAXIS.QAUtil.QADate_Adv import (QA_util_str_to_Unix_timestamp, QA_util_datetime_t... | [
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3... | 1.951946 | 3,288 |
#!/usr/bin/env python
import os
import re
import click
import requests
from string import Template
def degrees_to_cardinal(degrees):
'''
Return the cardinal direction representing a given 'degrees'
'''
cardinal = ['N', 'NNE', 'NE', 'ENE', 'E', 'ESE', 'SE', 'SSE',
'S', 'SSW', 'SW', 'WS... | [
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from annogesiclib.helper import Helper
from annogesiclib.gff3 import Gff3Parser
def get_terminal(genes, inters, gene_len, type_, file_type):
'''deal with the intergenic region which located at two ends'''
if type_ == "start":
for gene in genes:
if (gene.strand == "-"):
in... | [
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62... | 1.771807 | 3,703 |
import os
import requests
import json
from github import Github
if __name__ == '__main__':
pass
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