content stringlengths 1 1.05M | input_ids listlengths 1 883k | ratio_char_token float64 1 22.9 | token_count int64 1 883k |
|---|---|---|---|
"""
create_ucs_sp_template.py
Purpose:
UCS Manager Create a UCS Service Profile Template
Author:
John McDonough (jomcdono@cisco.com) github: (@movinalot)
Cisco Systems, Inc.
"""
from ucsmsdk.ucshandle import UcsHandle
from ucsmsdk.mometa.ls.LsServer import LsServer
from ucsmsdk.mometa.org.OrgOrg import Or... | [
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# coding=utf-8
"""
Handles EPAB's config file
"""
import logging
import pathlib
import elib_config
CHANGELOG_DISABLE = elib_config.ConfigValueBool(
'changelog', 'disable', description='Disable changelog building', default=False
)
CHANGELOG_FILE_PATH = elib_config.ConfigValuePath(
'changelog', 'file_path', de... | [
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175... | 2.742151 | 1,497 |
import os
import argparse
if __name__ == '__main__':
create_flask_app()
| [
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17953,
62,
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62,
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198
] | 2.642857 | 28 |
import os
import click
from flask import Flask
from flask.cli import with_appcontext
from flask_sqlalchemy import SQLAlchemy
__version__ = (1, 0, 0, "dev")
db = SQLAlchemy()
def create_app(test_config=None):
"""Create and configure an instance of the Flask application."""
app = Flask(__name__, instance_rel... | [
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... | 2.623568 | 611 |
import os, sys
fn = sys.argv[1]
if os.system('python compile.py %s __tmp.S' % fn) == 0:
os.system('python asm.py __tmp.S %s' % fn[:-2])
| [
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2... | 2.151515 | 66 |
#!/usr/bin/env python
# coding: UTF-8
#
# @package Actor
# @author Ariadne Pinheiro
# @date 26/08/2020
#
# Actor class, which is the base class for Disease objects.
#
##
| [
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... | 2.741935 | 62 |
"""Convert a Decimal Number to a Binary Number."""
def decimal_to_binary(num: int) -> str:
"""
Convert a Integer Decimal Number to a Binary Number as str.
>>> decimal_to_binary(0)
'0b0'
>>> decimal_to_binary(2)
'0b10'
>>> decimal_to_binary(7)
'0b111'
... | [
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... | 2.276276 | 666 |
#!/usr/bin/python3
#-*- coding: utf-8 -*-
import urllib.parse
import json
import base64
import requests
import logging
| [
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... | 2.727273 | 44 |
import libcst as cst
import libcst.matchers as m
from fixit import CstLintRule
from fixit import InvalidTestCase as Invalid
from fixit import ValidTestCase as Valid
| [
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... | 3.458333 | 48 |
# AUTOGENERATED! DO NOT EDIT! File to edit: source_nbs/13_model_fn.ipynb (unless otherwise specified).
__all__ = ['variable_summaries', 'filter_loss', 'BertMultiTaskBody', 'BertMultiTaskTop', 'BertMultiTask']
# Cell
from typing import Dict, Tuple
from inspect import signature
import tensorflow as tf
import transform... | [
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8... | 2.437262 | 526 |
import os
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import numpy as np
import math
from datetime import datetime
from matplotlib.colors import ListedColormap, BoundaryNorm
from matplotlib.collections import LineCollection
from matplotlib import cm
from SiMon.simulation import Simulation
f... | [
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4818,... | 3.565217 | 115 |
"""
Particle Size Models: Pure Oil Jet
===================================
Use the ``TAMOC`` `particle_size_models` module to simulate a laboratory
scale pure oil jet into water. This script demonstrates the typical steps
involved in using the `particle_size_models.PureJet` object, which requires
specification of all... | [
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12... | 2.732644 | 1,354 |
import os.path
import tron.Misc
from tron import g, hub
from tron.Hub.Command.Encoders.ASCIICmdEncoder import ASCIICmdEncoder
from tron.Hub.Nub.SocketActorNub import SocketActorNub
from tron.Hub.Reply.Decoders.ASCIIReplyDecoder import ASCIIReplyDecoder
name = 'hal'
| [
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... | 2.793814 | 97 |
from dataclasses import dataclass, field
from decimal import Decimal
from typing import Optional
from xsdata.models.datatype import XmlDate
| [
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4029,
10430,
628,
628
] | 3.763158 | 38 |
# coding: utf-8
#
# Copyright 2014 The Oppia 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 requi... | [
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743... | 3.771845 | 206 |
#!/usr/bin/python
# Copyright (c) 2020, 2022 Oracle and/or its affiliates.
# This software is made available to you under the terms of the GPL 3.0 license or the Apache 2.0 license.
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
# Apache License v2.0
# See LICENSE.TXT for d... | [
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2... | 2.363518 | 2,308 |
"""https://en.cppreference.com/w/c/io
"""
from rbc import irutils
from llvmlite import ir
from rbc.targetinfo import TargetInfo
from numba.core import cgutils, extending
from numba.core import types as nb_types
from rbc.errors import NumbaTypeError # some errors are available for Numba >= 0.55
int32_t = ir.IntType(3... | [
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... | 2.963636 | 110 |
from setuptools import setup
try:
import pypandoc
long_description = pypandoc.convert_file('README.md', 'rst', extra_args=())
except ImportError:
import codecs
long_description = codecs.open('README.md', encoding='utf-8').read()
long_description = '\n'.join(long_description.splitlines())
setup(
n... | [
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70... | 2.663978 | 372 |
# The MIT License (MIT)
#
# Copyright (c) 2015 braindead
#
# 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
# to use, copy, modif... | [
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11,
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597,
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257,
4866,
198,
2,
286,
428,
3788... | 2.489897 | 2,029 |
# This file is part of Viper - https://github.com/viper-framework/viper
# See the file 'LICENSE' for copying permission.
import time
import datetime
from lib.common.out import *
from lib.common.objects import File
from lib.core.database import Database
from lib.core.investigation import __project__
__sessions__ =... | [
2,
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19... | 3.531915 | 94 |
#coding: utf-8
import xlrd
from simple_report.core.document_wrap import BaseDocument, SpreadsheetDocument
from simple_report.xls.workbook import Workbook
from simple_report.xls.output_options import XSL_OUTPUT_SETTINGS
| [
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... | 2.923077 | 78 |
# Copyright 2019 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | [
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198... | 3.80756 | 291 |
# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: cancel_build.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobu... | [
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2... | 2.458227 | 1,951 |
'''
This is a sample class for a model. You may choose to use it as-is or make any changes to it.
This has been provided just to give you an idea of how to structure your model class.
'''
from openvino.inference_engine import IENetwork, IECore
import numpy as np
import os
import cv2
import sys | [
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2... | 3.418605 | 86 |
NAMES_SAML2_PROTOCOL = "urn:oasis:names:tc:SAML:2.0:protocol"
NAMES_SAML2_ASSERTION = "urn:oasis:names:tc:SAML:2.0:assertion"
NAMEID_FORMAT_UNSPECIFIED = "urn:oasis:names:tc:SAML:1.1:nameid-format:unspecified"
BINDINGS_HTTP_POST = "urn:oasis:names:tc:SAML:2.0:bindings:HTTP-POST"
DATE_TIME_FORMAT = "%Y-%m-%dT%H:%M:%SZ"
... | [
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366... | 1.898477 | 197 |
import math
for _ in range(int(input())):
n=int(input())
flag=0
for i in range(2,n//2+1):
if check(i)==True and check(n-i)==True:
#print(i,n-i,square(i),square(n-i),"Yes")
print("YES")
flag=1
break
if flag==0:
#print(i,n-i,square(i),square(... | [
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220,
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329,
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7,
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11,
77,
1003,
17,
10,... | 1.755 | 200 |
from setuptools import find_packages, setup
setup(
name='src',
packages=find_packages(),
version='0.1.0',
description='This repository hosts some work-in-progress experiments applying deep learning to predict age using tractometry data.',
author='Joanna Qiao',
license='BSD-3',
)
| [
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16,
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15,... | 3.210526 | 95 |
#!/usr/bin/env python3
import argparse
import os
import random
import requests
import sys
import tempfile
import uuid
from libs import colorprint
from libs.cli import run_command
SCRIPT_DIR = os.path.abspath(os.path.dirname(__file__))
# assume well-known lvm volume group on host
# ...later we'll figure out how to ... | [
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11748,
28686,
198,
11748,
4738,
198,
11748,
7007,
198,
11748,
25064,
198,
11748,
20218,
7753,
198,
11748,
334,
27112,
198,
198,
6738,
9195,
82,
1330,
31... | 2.068192 | 2,141 |
"""Criar uma funo que retorne min e max de uma sequncia numrica
aleatria.
S pode usar if, comparaes, recurso e funes que sejam de sua
autoria.
Se quiser usar laos tambm pode.
Deve informar via docstring qual a complexidade de tempo e espao da
sua soluo
"""
from math import inf
def minimo_e_maximo(sequencia_numer... | [
37811,
34,
380,
283,
334,
2611,
1257,
78,
8358,
1005,
8553,
949,
304,
3509,
390,
334,
2611,
33756,
19524,
544,
997,
30997,
198,
1000,
265,
7496,
13,
198,
198,
50,
279,
1098,
514,
283,
611,
11,
552,
3301,
274,
11,
664,
333,
568,
30... | 2.111374 | 422 |
import dash_bootstrap_components as dbc
import dash_html_components as html
DBC_DOCS = (
"https://dash-bootstrap-components.opensource.faculty.ai/docs/components/"
)
| [
11748,
14470,
62,
18769,
26418,
62,
5589,
3906,
355,
288,
15630,
198,
11748,
14470,
62,
6494,
62,
5589,
3906,
355,
27711,
198,
198,
35,
2749,
62,
38715,
50,
796,
357,
198,
220,
220,
220,
366,
5450,
1378,
42460,
12,
18769,
26418,
12,
... | 2.819672 | 61 |
'''
The visualization class provides an easy access to some of the visdom functionalities
Accept as input a number that will be ploted over time or an image of type np.ndarray
'''
from visdom import Visdom
import numpy as np
import numbers
| [
7061,
6,
198,
464,
32704,
1398,
3769,
281,
2562,
1895,
284,
617,
286,
262,
1490,
3438,
10345,
871,
198,
38855,
355,
5128,
257,
1271,
326,
481,
307,
458,
5191,
625,
640,
393,
281,
2939,
286,
2099,
45941,
13,
358,
18747,
198,
7061,
6,... | 3.967213 | 61 |
"""Analyze condition number of the network."""
import numpy as np
import matplotlib.pyplot as plt
# import model
def _get_sparse_mask(nx, ny, non, complex=False, nOR=50):
"""Generate a binary mask.
The mask will be of size (nx, ny)
For all the nx connections to each 1 of the ny units, only non connectio... | [
37811,
37702,
2736,
4006,
1271,
286,
262,
3127,
526,
15931,
198,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
458,
83,
198,
198,
2,
1330,
2746,
198,
198,
4299,
4808,
1136,
62,
82,
29572,
62,... | 2.109005 | 422 |
from rest_framework.authtoken.models import Token
from rest_framework import serializers
from applications.placement_cell.models import (Achievement, Course, Education,
Experience, Has, Patent,
Project, Publication, Skill,
... | [
6738,
1334,
62,
30604,
13,
18439,
30001,
13,
27530,
1330,
29130,
198,
6738,
1334,
62,
30604,
1330,
11389,
11341,
198,
198,
6738,
5479,
13,
489,
5592,
62,
3846,
13,
27530,
1330,
357,
32,
24957,
434,
11,
20537,
11,
7868,
11,
198,
220,
... | 1.95122 | 205 |
import factory
from concat_col_app.models import Color, Apple
| [
11748,
8860,
198,
198,
6738,
1673,
265,
62,
4033,
62,
1324,
13,
27530,
1330,
5315,
11,
4196,
628,
198
] | 3.421053 | 19 |
from pathlib import Path
from typing import Dict
from errors.common.exception import DppError
| [
6738,
3108,
8019,
1330,
10644,
198,
6738,
19720,
1330,
360,
713,
198,
198,
6738,
8563,
13,
11321,
13,
1069,
4516,
1330,
360,
381,
12331,
628,
628,
628,
628,
628
] | 3.586207 | 29 |
from .utility import *
from .tricks import *
from .tensorlog import *
from .self_op import *
from .resume import *
from .optims import *
from .metric import *
| [
198,
198,
6738,
764,
315,
879,
1330,
1635,
198,
6738,
764,
83,
23706,
1330,
1635,
198,
6738,
764,
83,
22854,
6404,
1330,
1635,
198,
6738,
764,
944,
62,
404,
1330,
1635,
198,
6738,
764,
411,
2454,
1330,
1635,
198,
6738,
764,
8738,
12... | 3.037736 | 53 |
"""
Copyright (C) 2018-2021 Intel Corporation
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 i... | [
37811,
198,
15069,
357,
34,
8,
2864,
12,
1238,
2481,
8180,
10501,
628,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
198,
345,
743,
407,
779,
428,
2393,
2845,
287,
11846,
351,
262,
13789,
13,
1... | 3.849515 | 206 |
import cv2
from PIL import Image
import argparse
from pathlib import Path
from multiprocessing import Process, Pipe,Value,Array
import torch
from config import get_config
from mtcnn import MTCNN
from Learner_trans_tf import face_learner
from utils import load_facebank, draw_box_name, prepare_facebank, save_label_score,... | [
11748,
269,
85,
17,
198,
6738,
350,
4146,
1330,
7412,
198,
11748,
1822,
29572,
198,
6738,
3108,
8019,
1330,
10644,
198,
6738,
18540,
305,
919,
278,
1330,
10854,
11,
36039,
11,
11395,
11,
19182,
198,
11748,
28034,
198,
6738,
4566,
1330,
... | 2.057384 | 7,476 |
import time
def event_call(other_arg, kwarg="-", result=None):
"""Call this metod, on returned result"""
print(f"Bind Result, {result}\n"*10)
print("other_arg", other_arg)
print("kwarg", kwarg)
if __name__ == "__main__":
try:
from dirio import Dirio
except:
from ..dirio impo... | [
11748,
640,
628,
198,
198,
4299,
1785,
62,
13345,
7,
847,
62,
853,
11,
479,
86,
853,
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12,
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1255,
28,
14202,
2599,
198,
220,
220,
220,
37227,
14134,
428,
1138,
375,
11,
319,
4504,
1255,
37811,
198,
220,
220,
220,
3601,
7,... | 2.188769 | 837 |
# -*- coding: utf-8 -*-
# Copyright 2017, IBM.
#
# This source code is licensed under the Apache License, Version 2.0 found in
# the LICENSE.txt file in the root directory of this source tree.
"""This module implements the abstract base class for backend modules.
To create add-on backend modules subclass the Backend... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
198,
2,
15069,
2177,
11,
19764,
13,
198,
2,
198,
2,
770,
2723,
2438,
318,
11971,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
1043,
287,
198,
2,
262,
38559,
24290... | 2.367829 | 889 |
from typing import List
import sys
s = Solution()
ans = s.jump([3,2,1,0,4])
print(ans) | [
6738,
19720,
1330,
7343,
198,
11748,
25064,
198,
198,
82,
796,
28186,
3419,
198,
198,
504,
796,
264,
13,
43327,
26933,
18,
11,
17,
11,
16,
11,
15,
11,
19,
12962,
198,
4798,
7,
504,
8
] | 2.444444 | 36 |
import unittest
from . import states
| [
11748,
555,
715,
395,
198,
198,
6738,
764,
1330,
2585,
628
] | 3.545455 | 11 |
from jinja2 import nodes
from jinja2.ext import Extension
| [
6738,
474,
259,
6592,
17,
1330,
13760,
198,
6738,
474,
259,
6592,
17,
13,
2302,
1330,
27995,
628
] | 3.277778 | 18 |
import os
def retrieve_molecule_number(pdb, resname):
"""
IDENTIFICATION OF MOLECULE NUMBER BASED
ON THE TER'S
"""
count = 0
with open(pdb, 'r') as x:
lines = x.readlines()
for i in lines:
if i.split()[0] == 'TER': count += 1
if i.split()[3] == resname: ... | [
11748,
28686,
198,
198,
4299,
19818,
62,
76,
2305,
23172,
62,
17618,
7,
79,
9945,
11,
581,
3672,
2599,
628,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
4522,
3525,
30643,
6234,
3963,
13070,
2538,
34,
24212,
36871,
13246,
29809,
196... | 1.945205 | 219 |
# api.py
# Part of PyBBIO
# github.com/alexanderhiam/PyBBIO
# MIT License
#
# Beaglebone platform API file.
from bbio.platform.platform import detect_platform
PLATFORM = detect_platform()
if "3.8" in PLATFORM:
from bone_3_8.adc import analog_init, analog_cleanup
from bone_3_8.pwm import pwm_init, pwm_cleanup
... | [
2,
40391,
13,
9078,
220,
198,
2,
2142,
286,
9485,
33,
3483,
46,
198,
2,
33084,
13,
785,
14,
1000,
87,
4066,
71,
1789,
14,
20519,
33,
3483,
46,
198,
2,
17168,
13789,
198,
2,
220,
198,
2,
1355,
19345,
15992,
3859,
7824,
2393,
13,
... | 2.604878 | 205 |
import re
import sys
from urllib.parse import quote as _uriquote
import requests
from . import __version__, errors, utils
from .converters import _county_types, _leaderboard_types, _vpn_types, _not_none
from . import checks
from .cog import request_cog
GET='get'
POST='post'
def get_public_paths(self, **attrs... | [
11748,
302,
198,
11748,
25064,
198,
6738,
2956,
297,
571,
13,
29572,
1330,
9577,
355,
4808,
333,
1557,
1258,
198,
198,
11748,
7007,
198,
198,
6738,
764,
1330,
11593,
9641,
834,
11,
8563,
11,
3384,
4487,
198,
6738,
764,
1102,
332,
1010... | 2.522854 | 897 |
import os
from argparse import ArgumentParser
from pathlib import Path
import gym
import ray
import ray.tune.result as ray_results
import yaml
from gym.spaces import Tuple
from ray.cluster_utils import Cluster
from ray.rllib.utils import try_import_tf, try_import_torch
from ray.tune import run_experiments, register_en... | [
11748,
28686,
198,
6738,
1822,
29572,
1330,
45751,
46677,
198,
6738,
3108,
8019,
1330,
10644,
198,
198,
11748,
11550,
198,
11748,
26842,
198,
11748,
26842,
13,
83,
1726,
13,
20274,
355,
26842,
62,
43420,
198,
11748,
331,
43695,
198,
6738,... | 3.082621 | 351 |
#!/usr/bin/env python
r"""
This module contains keyword functions to supplement robot's built in
functions and use in test where generic robot keywords don't support.
"""
import time
from robot.libraries.BuiltIn import BuiltIn
from robot.libraries import DateTime
import re
###########################################... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
198,
81,
37811,
198,
1212,
8265,
4909,
21179,
5499,
284,
10327,
9379,
338,
3170,
287,
198,
12543,
2733,
290,
779,
287,
1332,
810,
14276,
9379,
26286,
836,
470,
1104,
13,
198,
198,
3781... | 2.668991 | 2,725 |
# Copyright (c) OpenMMLab. All rights reserved.
from .builder import NODES
from .faceswap_nodes import FaceSwapNode
from .frame_effect_nodes import (BackgroundNode, BugEyeNode, MoustacheNode,
NoticeBoardNode, PoseVisualizerNode,
SaiyanNode, SunglassesNod... | [
2,
15069,
357,
66,
8,
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44,
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397,
13,
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13,
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764,
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764,
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62,
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1330,
15399,
10462,
499,
19667,
198,
6738,
764,
14535,
62,
10760,
62,
... | 2.565217 | 322 |
#!/usr/bin/python3
import ibm_db
import getopt
import sys
import os
from toposort import toposort_flatten
db = None
host = "localhost"
port = "50000"
user = None
pwd = None
outfile = None
targetdb = None
try:
opts, args = getopt.getopt(sys.argv[1:], "h:d:P:u:p:o:t:")
except getopt.GetoptError:
sys.exit(-1)
f... | [
2,
48443,
14629,
14,
8800,
14,
29412,
18,
198,
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24283,
76,
62,
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198,
11748,
651,
8738,
198,
11748,
25064,
198,
11748,
28686,
198,
6738,
1353,
418,
419,
1330,
1353,
418,
419,
62,
2704,
41769,
198,
198,
9945,
796,
6045,
... | 2.168365 | 1,865 |
import numpy as np
DEFAULT_FILE_PATH = "utils/datasets/glove.6B.50d.txt"
def loadWordVectors(tokens, filepath=DEFAULT_FILE_PATH, dimensions=50):
"""Read pretrained GloVe vectors"""
wordVectors = np.zeros((len(tokens), dimensions))
with open(filepath) as ifs:
for line in ifs:
line = lin... | [
11748,
299,
32152,
355,
45941,
198,
198,
7206,
38865,
62,
25664,
62,
34219,
796,
366,
26791,
14,
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292,
1039,
14,
4743,
659,
13,
21,
33,
13,
1120,
67,
13,
14116,
1,
198,
198,
4299,
3440,
26449,
53,
478,
669,
7,
83,
482,
641,
... | 2.05042 | 357 |
# Copyright 2021 MosaicML. All Rights Reserved.
"""Performance profiling tools.
The profiler gathers performance metrics during a training run that can be used to diagnose bottlenecks and
facilitate model development.
The metrics gathered include:
* Duration of each :class:`.Event` during training
* Time taken by t... | [
2,
15069,
33448,
5826,
18452,
5805,
13,
1439,
6923,
33876,
13,
198,
198,
37811,
32273,
31582,
4899,
13,
198,
198,
464,
1534,
5329,
43609,
2854,
20731,
1141,
257,
3047,
1057,
326,
460,
307,
973,
284,
37489,
3005,
11925,
721,
591,
290,
... | 3.539797 | 691 |
'''
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this ... | [
7061,
6,
198,
26656,
15385,
284,
262,
24843,
10442,
5693,
357,
1921,
37,
8,
739,
530,
198,
273,
517,
18920,
5964,
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13,
220,
4091,
262,
28536,
2393,
198,
17080,
6169,
351,
428,
670,
329,
3224,
1321,
198,
2301,
13493,
6634,
9238,
... | 2.764056 | 996 |
from typing import Optional, Sequence
import plotly.graph_objects as go
def bar(x: Sequence,
y: Sequence,
text: Optional[Sequence] = None,
width: Optional[int] = None,
col: Optional[str] = None,
opacity: float = 1,
name: Optional[str] = None,
show_legend: bool = ... | [
6738,
19720,
1330,
32233,
11,
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7110,
306,
13,
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62,
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355,
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198,
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7,
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25,
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11,
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220,
220,
220,
220,
220,
220,
220,
331,
25,
45835,
11,
198,
220,
220,
220,
220,
220,
220,... | 2.082397 | 534 |
# Copyright 2018-2021 Xanadu Quantum 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... | [
2,
15069,
2864,
12,
1238,
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324,
84,
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21852,
3457,
13,
198,
198,
2,
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739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
198,
2,
345,
743,
407,
779,
428,
2393,
2845,
287,
11846,
351,
... | 3.172872 | 376 |
import pytorch_lightning as pl
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from pytorch_lightning.loggers import TensorBoardLogger
from torch.utils.data import DataLoader
from torchvision import transforms
from torchvision.datasets import CelebA
if __name__ == '__... | [
11748,
12972,
13165,
354,
62,
2971,
768,
355,
458,
198,
11748,
28034,
198,
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28034,
13,
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355,
299,
77,
198,
11748,
28034,
13,
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13,
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355,
376,
198,
11748,
28034,
13,
40085,
355,
6436,
198,
6738,
12972,
13165,
354,
... | 2.159332 | 659 |
# Import libraries
import sys
import pandas as pd
from sqlalchemy import create_engine
def load_data(messages_filepath, categories_filepath):
"""
Load the data from the disaster response csvs
Parameters:
messages_filepath (str): Path to messages csv
categories_filepath (str): Path to categories csv... | [
2,
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12782,
198,
11748,
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292,
355,
279,
67,
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282,
26599,
1330,
2251,
62,
18392,
628,
198,
4299,
3440,
62,
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7,
37348,
1095,
62,
7753,
6978,
11,
9376,
62,
7753,
6978,
2599,
198,
220,
... | 2.647335 | 638 |
#!/usr/bin/env python3
import subprocess
import sys
import json
SERVICES = {
'control': [
'control',
'nodemgr',
'named',
'dns',
],
'config-database': [
'nodemgr',
'zookeeper',
'rabbitmq',
'cassandra',
],
'webui': [
'web',
... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
198,
11748,
850,
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198,
11748,
25064,
198,
11748,
33918,
198,
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220,
220,
220,
705,
13716,
10354,
685,
198,
220,
220,
220,
220,
220,
220,
... | 1.830258 | 542 |
from flask import Flask, jsonify, request
from flask_cors import CORS, cross_origin
import simplejson as json
from leaderboard.leaderboard import Leaderboard
import uwsgidecorators
import signalfx
app = Flask(__name__)
app.config['CORS_HEADERS'] = 'Content-Type'
cors = CORS(app)
highscore_lb_starship = Leaderboard('... | [
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... | 2.640777 | 206 |
import argparse
import numpy as np
from .._helpers import read, reader_map
from ._helpers import _get_version_text
| [
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] | 3.216216 | 37 |
import os, shutil
from CCSLink import Spark_Session as SS
def add_zipped_dependency(zip_from, zip_target):
"""
This method creates a zip of the code to be sent to the executors.
It essentially zips the Python packages installed by PIP and
submits them via addPyFile in the current PySpark context
E... | [
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22... | 2.674747 | 495 |
try:
from .nbody_graph_search import Ugraph
except (SystemError, ValueError):
# not installed as a package
from nbody_graph_search import Ugraph
# This file defines how 3-body angle interactions are generated by moltemplate
# by default. It can be overridden by supplying your own custom file.
# To fi... | [
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26... | 3.010909 | 825 |
#!/pxrpythonsubst
#
# Copyright 2016 Pixar
#
# Licensed under the Apache License, Version 2.0 (the "Apache License")
# with the following modification; you may not use this file except in
# compliance with the Apache License and the following modification to it:
# Section 6. Trademarks. is deleted and replaced with:
#
... | [
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... | 2.848084 | 1,435 |
import sys
import os
sys.path.append('./code/')
from skeleton import Skeleton
from read_data import *
from calibration import Calibration
from ukf_filter import ukf_Filter_Controler
from canvas import Canvas
from regression import *
import time
from functools import wraps
import os
def make_folder(folder_name):
if... | [
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... | 2.63198 | 394 |
from __future__ import print_function
import json
import os
from django.conf import settings
from django.contrib.auth.hashers import make_password
from django.contrib.auth.models import User
from wagtail.wagtailcore.models import Page, Site
from v1.models import HomePage, BrowseFilterablePage
| [
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198... | 3.505882 | 85 |
# Simple python3 script to compare output with a reference output.
# Usage: python3 compareOutputs.py testOutput.h5 testRefOutput.h5
import sys
import h5py
import numpy as np
if len(sys.argv) != 3:
print("Expected two arguments. Output and reference output file.")
sys.exit(1)
filename = sys.argv[1]
ref_filen... | [
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# -*- coding: utf-8 -*-
from rest_framework import serializers
from .models import Tag
| [
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] | 3 | 30 |
from amqpstorm.management import ApiConnectionError
from amqpstorm.management import ApiError
from amqpstorm.management import ManagementApi
if __name__ == '__main__':
API = ManagementApi('http://127.0.0.1:15672', 'guest', 'guest')
try:
result = API.aliveness_test('/')
if result['status'] == 'o... | [
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# -*- coding: utf-8 -*-
from zvt.contract.api import df_to_db
from zvt.contract.recorder import Recorder
from zvt.domain.meta.stockhk_meta import Stockhk
from zvt.recorders.em import em_api
if __name__ == "__main__":
recorder = EMStockhkRecorder()
recorder.run()
# the __all__ is generated
__all__ = ["EMStoc... | [
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from util.io import read_setting_json, read_0h_data, read_24h_data, draw_single_curve
from util.convert import split_array_into_samples, calculate_avg_of_sample, convert_to_percentage
from util.calculus import calculate_summary_of_sample, fit_sigmoid_curve
import matplotlib.pyplot as plt
import numpy as np
import csv
... | [
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... | 2.536683 | 2,508 |
# -*- test-case-name: twisted.names.test.test_rootresolve -*-
# Copyright (c) 2001-2009 Twisted Matrix Laboratories.
# See LICENSE for details.
"""
Resolver implementation for querying successive authoritative servers to
lookup a record, starting from the root nameservers.
@author: Jp Calderone
todo::
robustify ... | [
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13,... | 2.267093 | 2,033 |
# ================================================================
# MIT License
# Copyright (c) 2021 edwardyehuang (https://github.com/edwardyehuang)
# ================================================================
import os, sys
rootpath = os.path.abspath(os.path.join(os.path.dirname(__file__), os.pardir, os.pard... | [
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8,
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1174... | 3.111864 | 295 |
from inspect import signature
import json
import time
import os
import glob
import logging
from pathlib import Path
from watchdog.observers import Observer
from watchdog.observers.polling import PollingObserver
from watchdog.events import PatternMatchingEventHandler
from EDScoutCore.FileSystemUpdatePrompter... | [
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690,... | 2.865772 | 298 |
import sqlite3
conn = sqlite3.connect('example.db')
c = conn.cursor()
import os
import hashlib
import time
get_dir_data('./')
# Save (commit) the changes
conn.commit()
conn.close() | [
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62,... | 2.724638 | 69 |
"""
Migration script to add 'ldda_parent_id' column to the implicitly_converted_dataset_association table.
"""
from sqlalchemy import *
from sqlalchemy.orm import *
from migrate import *
from migrate.changeset import *
import logging
log = logging.getLogger( __name__ )
metadata = MetaData()
| [
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6738,... | 3.352273 | 88 |
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import prince
from sklearn import utils
from sklearn.cluster import DBSCAN
import itertools
from cmca import CMCA
from ccmca import CCMCA
from matplotlib import rc
plt.style.use('ggplot')
df = pd.read_csv("./uk2018.csv")
df["prtclcgb"].replace({5: ... | [
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1330,... | 1.934537 | 1,329 |
"""
Problem:
Given a list of possibly overlapping intervals, return a new list of intervals where
all overlapping intervals have been merged.
The input list is not necessarily ordered in any way.
For example, given [(1, 3), (5, 8), (4, 10), (20, 25)], you should return
[(1, 3), (4, 10), (20, 25)].
"""
from typing i... | [
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... | 2.62963 | 216 |
import time
import emoji
# Put your commands here
COMMAND1 = "testing testing"
COMMAND2 = "roger roger"
BLUEON = str("blue on")
BLUEOFF = str("blue off")
REDON = str("red on")
REDOFF = str("red off")
GREENON = str("green on")
GREENOFF = str("green off")
YELLOWON = str("yellow on")
YELLOWOFF = str("yellow off")
CL... | [
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31... | 2.330221 | 1,178 |
# coding=utf-8
"""RSES :)"""
| [
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] | 2.230769 | 13 |
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | [
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"""Support for MQTT discovery."""
import asyncio
import logging
from hatasmota.discovery import (
TasmotaDiscovery,
get_device_config as tasmota_get_device_config,
get_entities_for_platform as tasmota_get_entities_for_platform,
get_entity as tasmota_get_entity,
has_entities_with_platform as tasmota... | [
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220,
220,
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651,
... | 2.56 | 500 |
# Copyright 2019 Google LLC. 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 applicable law or a... | [
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287,
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... | 3.018405 | 1,467 |
def read() -> str:
"""Returns a string"""
return "org.allnix"
| [
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25,
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# from folder workMETRLA
# MODEL CODE
# -*- coding: utf-8 -*-
"""
Created on Mon Sep 28 10:28:06 2020
@author: wb
"""
import torch
import torch.nn as nn
import math
# from GCN_models import GCN
# from One_hot_encoder import One_hot_encoder
import torch.nn.functional as F
import numpy as np
from sc... | [
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... | 2.20743 | 646 |
# animation for medium article
from termcolor import colored
import time
import imageio
import pyautogui
pyautogui.FAILSAFE = True
matrix = [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0... | [
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8... | 1.6632 | 1,250 |
from django.db import models
from products.models import Product
from utils.models import Utility
| [
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628,
628,
628,
198
] | 3.888889 | 27 |
from django.shortcuts import render
from hierarchical_app.models import Folder
# Create your views here.
| [
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198
] | 4.115385 | 26 |
import sys
import os
import argparse
import logging
import json
import time
import subprocess
from shutil import copyfile
import numpy as np
from sklearn import metrics
from easydict import EasyDict as edict
import torch
from torch.utils.data import DataLoader
import torch.nn.functional as F
from torch.nn import DataP... | [
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357... | 2.645588 | 680 |
groupSize = input()
groups = list(map(int,input().split(' ')))
tmpArray1 = set()
tmpArray2 = set()
for i in groups:
if i in tmpArray1:
tmpArray2.discard(i)
else:
tmpArray1.add(i)
tmpArray2.add(i)
for i in tmpArray2:
print(i)
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... | 2.112903 | 124 |
import unittest
from hf_src.main import soma
| [
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] | 2.875 | 16 |
import copy
import json
from oic.utils.authn.client import CLIENT_AUTHN_METHOD
from oic.utils.keyio import KeyJar
from oic.utils.keyio import KeyBundle
__author__ = 'roland'
import logging
logger = logging.getLogger(__name__)
def request_and_return(conv, url, response=None, method="GET", body=None,
... | [
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198,
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267... | 2.510638 | 564 |
import FWCore.ParameterSet.Config as cms
hltPFPuppiNoLep = cms.EDProducer("PuppiProducer",
DeltaZCut = cms.double(0.1),
DeltaZCutForChargedFromPUVtxs = cms.double(0.2),
EtaMaxCharged = cms.double(99999.0),
EtaMaxPhotons = cms.double(2.5),
EtaMinUseDeltaZ = cms.double(-1.0),
MinPuppiWeight = cms... | [
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26254... | 1.747246 | 1,543 |
# -*- coding: utf-8 -*-
## \package wizbin.build
# MIT licensing
# See: docs/LICENSE.txt
import commands, os, shutil, subprocess, traceback, wx
from dbr.functions import FileUnstripped
from dbr.language import GT
from dbr.log import DebugEnabled
from dbr.log import Logger
from dbr.md5 import WriteMD5
from ... | [
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628,
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11,
28686... | 2.975166 | 604 |
from YoshiViz import Gui
if __name__ == '__main__':
#file director
gui = Gui.Gui()
"""
report_generator.\
generate_pdf_report(fileDirectory, repositoryName, tempCommunityType)
"""
print('the type of', repositoryName, 'is', tempCommunityType, '\n"check .\YoshiViz\output"')
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37227,... | 2.54918 | 122 |
''' Wrap an __init__ function so that I don't have to assign all the
parameters to a self. variable. '''
# https://stackoverflow.com/questions/5048329/python-decorator-for-automatic-binding-init-arguments
import inspect
from functools import wraps
def lazy_init(init):
''' Create an annotation to assign all the p... | [
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... | 3.02649 | 151 |
# def register_feed():
import os
import cv2
path = '/UserImage'
cam = cv2.VideoCapture(0)
name=input("Name: ")
cv2.namedWindow("test")
img_counter = 0
while True:
ret, frame = cam.read()
if not ret:
print("failed to grab frame")
break
else:
cv2.imshow("test", frame)
k = c... | [
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... | 2.039164 | 383 |
# -*- encoding: utf-8 -*-
'''
@Author : lance
@Email : wangyl306@163.com
'''
import time
from model_cx.inceptionresnet import inceptionresnet
from model_cx.vgg19two import vgg19_all_lr
from model_cx.inceptionv3 import inceptionv3
from model_cx.densenet import densenet
from model_cx.nasnet import nas... | [
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785,... | 2.168447 | 1,217 |
"""Coordinate changes in state space models."""
import abc
try:
# cached_property is only available in Python >=3.8
from functools import cached_property
except ImportError:
from cached_property import cached_property
import numpy as np
import scipy.special # for vectorised factorial
from probnum impor... | [
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220,
220,
220,
422,
1257,
31... | 3.431373 | 102 |
from allauth.socialaccount import providers
from allauth.socialaccount.providers.base import ProviderAccount
from allauth.socialaccount.providers.oauth.provider import OAuthProvider
from allauth.socialaccount import app_settings
providers.registry.register(LinkedInProvider)
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1330,
44... | 4 | 70 |
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torchvision import datasets
from torch.autograd import Variable
from sklearn.model_selection import train_test_split
import time
import pandas as pd
import numpy as np
import csv
batch_size = 128
NUM_EPOC... | [
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... | 2.198242 | 1,024 |