content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
import importlib
from django import forms
from s3file.apps import S3FileConfig
from s3file.forms import S3FileInputMixin
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from django.contrib.sites.models import Site
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"""These methods are copied from https://github.com/Kyubyong/dc_tts/"""
import os
import copy
import librosa
import scipy.io.wavfile
import numpy as np
from tqdm import tqdm
from scipy import signal
from hparams import HParams as hp
def spectrogram2wav(mag):
'''# Generate wave file from linear magnitude spectro... | [
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# Copyright (c) DEV Corporation. All rights reserved.
# Licensed under MIT License.
| [
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"""
Django settings for medical project.
Generated by 'django-admin startproject' using Django 3.0.8.
For more information on this file, see
https://docs.djangoproject.com/en/3.0/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.0/ref/settings/
"""
import os
fr... | [
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import dataclasses
import enum
from typing import Any
@dataclasses.dataclass
| [
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from deepsegment import DeepSegment
# The default language is 'en'
segmenter = DeepSegment('en')
segmenter.segment('I am Batman i live in gotham')
# ['I am Batman', 'i live in gotham']
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# -*- coding: utf-8 -*-
from django.core.urlresolvers import reverse
from django.db import models
from django.utils.translation import ugettext_lazy as _
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import sys; sys.path.append("..")
from policies import max_min_fairness, max_min_fairness_strategy_proof
import random
import time
import numpy as np
np.set_printoptions(precision=3, suppress=True)
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... | 3.076923 | 65 |
import os
import os.path
from print_function import *
# Exemple
# main.py server start
# main.py server start /home/user/kafka/config/server.propersties
# main.py server stop
# main.py server restart
# main.py server restart /home/user/kafka/config/server.propersties
KAFKA_HOME = str(os.getenv("KAFKA_HOME"... | [
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# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# -----------------------------------------------------------------... | [
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... | 3.481953 | 471 |
"""
Gathers up all of the expenses and breaks down the values by month.
"""
import time
import math
from operator import itemgetter
from gnucash_reports.collate.bucket import PeriodCollate, CategoryCollate, AccountCollate
from gnucash_reports.collate.bucket_generation import decimal_generator
from gnucash_reports.coll... | [
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... | 3.036617 | 1,939 |
import pandas as pd
import numpy as np
import sklearn
import joblib
from flask import Flask, render_template, request, url_for
app = Flask(__name__)
@app.route('/')
@app.route('/predict', methods=['GET', 'POST'])
if __name__ == '__main__':
app.run(debug=True)
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from typing import Tuple
from math import prod
with open('input', 'r') as fd:
bus_lines_raw = fd.readlines()[1].strip().split(',')
bus_lines = list(map(int, filter(lambda bl: bl != 'x', bus_lines_raw)))
bl_offsets = [i for i, n in enumerate(bus_lines_raw) if n != 'x']
# For an explanation of how this works, lo... | [
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"""
Concerned with storing and returning books from a list.
"""
books = []
# def delete_book(name): # This is considered as a Bad Practice.
# for book in books:
# if book['name'] == name:
# books.remove(book)
"""
SCOPE - as in <line 26> : global books
states that books in local ... | [
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# Licensed under a 3-clause BSD style license - see LICENSE.rst
"""Fit and illustrate example spectral data in XSPEC format.
Run `xspec_fake.py` first to generate the example input file.
"""
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# -*- coding: utf-8 -*-
# @Author : William
# @Project : TextGAN-william
# @FileName : text_process.py
# @Time : Created at 2019-05-14
# @Blog : http://zhiweil.ml/
# @Description :
# Copyrights (C) 2018. All Rights Reserved.
import nltk
import os
import torch
import config as cfg
de... | [
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... | 2.274237 | 2,228 |
import json
from os.path import expanduser, exists
from os import makedirs
conoha_home = expanduser('~/.conoha')
config_path = f'{conoha_home}/config.json'
credential_path = f'{conoha_home}/credential.json'
token_path = f'{conoha_home}/token.json'
if not exists(conoha_home):
makedirs(conoha_home)
| [
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... | 2.596639 | 119 |
#!/usr/bin/env python
#
# Copyright (c) 2013 Juniper Networks, Inc. All rights reserved.
#
#
# sandesh_msg_test
#
import unittest
import sys
import os
import socket
import test_utils
import time
import uuid
from itertools import chain
sys.path.insert(1, sys.path[0]+'/../../../python')
from pysandesh.sandesh_base i... | [
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... | 2.795455 | 220 |
from turtle import *
side = 50
COUNT = 8
checker(side)
| [
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# flake8: noqa
from .base import *
from .distillation import *
from .metrics import *
from .regularizations import *
from .unsupervised import *
from .losses import *
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#!/usr/bin/env python
"""
Fluentd queue check for v3
"""
import argparse
import time
import subprocess
import math
from dateutil import parser
from datetime import datetime
from openshift_tools.monitoring.ocutil import OCUtil
from openshift_tools.monitoring.metric_sender import MetricSender
import logging
logging.... | [
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import discord
import os
import inspect
from discord.ext import commands
class Community():
"""Commands for The Bad Server community"""
@property
@commands.command()
async def source(self, ctx, *, command: str = None):
"""Displays the Bad Bot's source"""
if command is Non... | [
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from machine_learning_library.model_discriminant_analysis import Classification
import numpy as np
| [
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# Generated by Django 3.0.7 on 2020-06-12 08:38
from django.db import migrations, models
import django.db.models.deletion
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... | 2.818182 | 44 |
import ast
import functools
from typing import Iterable
from typing import List
from typing import Optional
from typing import Tuple
from tokenize_rt import Offset
from tokenize_rt import Token
from pyupgrade._ast_helpers import ast_to_offset
from pyupgrade._data import register
from pyupgrade._data import State
from... | [
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198,... | 3.268293 | 164 |
import itertools
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import plotly.express as px
from scipy.optimize import minimize, LinearConstraint, NonlinearConstraint
from tqdm import tqdm
from utils import constraint_cost, calc_time, calc_cost, ConstraintTime, f_ey, f_conv, f_ideal, ... | [
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... | 1.649712 | 3,126 |
from __future__ import print_function
import argparse
import random
import torch
import torch.optim as optim
import torch.utils.data
from torch.autograd import Variable
import numpy as np
import os
import utils
from torch_geometric.data import Data, Dataset,DataLoader
from torch_scatter import scatter_mean
import torch... | [
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3... | 2.600092 | 2,163 |
import sixdegrees
import numpy as np
import scipy.sparse as sprs
from scipy.special import binom
import matplotlib.pyplot as pl
N_meas = 1000
betas = np.logspace(-3,0,10)
k = 8.
N = 100
for beta in betas:
hist = np.zeros((N,))
for meas in range(N_meas):
_, row, col = sixdegrees.modified_sma... | [
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29487,... | 1.964876 | 484 |
import pygame, copy
from pygame.locals import *
##########################################################################
## Character ##
## -------------------------------------------------------------------- ##
## Class that defines an instance of an on-scr... | [
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2... | 3.797814 | 183 |
default_json_pool = {
"previousState": "Closing",
"stateTransitionTime": "2021-03-18T14:34:51Z",
"previousStateTransitionTime": "2021-03-18T14:34:39Z",
"lastModified": "2021-03-18T14:34:51Z",
"elasticProperty": {
"isElastic": False,
"minTotalSlots": 1,
"maxTotalSlots"... | [
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1298,
220,
366,
1238,
2481,
12,
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12,
1507,
51,
1415,
25,
... | 1.869622 | 1,534 |
import unittest
from gocdapi.go import Go
from gocdapi.pipeline import Pipeline
from gocdapi.stage import Stage
if __name__ == '__main__':
unittest.main()
| [
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3672... | 2.672131 | 61 |
# -*- coding: utf-8 -*-
"""
Created on Mon Jan 4 16:39:41 2021
This will be used to query an FTP server to download csv data from the sensors of interest.
@author: sHristov
"""
import os
import time
import datetime
import logging
import gzip
import typing
import urllib.error
import urllib.request
... | [
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43... | 2.288058 | 1,097 |
#!/bin/env python3
import time
import gex
with gex.Client(gex.TrxRawUSB()) as client:
ow = gex.OneWire(client, 'ow')
# print("Presence: ", ow.test_presence())
print("Devices:", ow.search())
while True:
(a, b) = meas2(6558392391241695016, 1802309978572980008)
# a = meas(655839239124169... | [
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3198... | 2.006515 | 921 |
#coding:utf-8
#
# id: bugs.core_5018
# title: Regression: Non-indexed predicates may not be applied immediately after retrieval when tables are being joined
# decription:
# tracker_id: CORE-5018
# min_versions: ['3.0']
# versions: 3.0
# qmid: None
import pytest
from firebird.qa import... | [
2,
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12,
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... | 2.090508 | 1,812 |
from torch import random
import torch
from torch.nn.modules import linear
import torch.optim as optim
import torch.nn.functional as F
from torch.nn.utils import clip_grad_norm_
import logging
import numpy as np
import random
from value_network import ValueNetwork, ConvValueNetwork
| [
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1... | 3.944444 | 72 |
from sky_iot.utils import UtilsTool
_init()
read_config() | [
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] | 2.809524 | 21 |
#!/usr/bin/python
import sys,subprocess
#user and group id
id=171
if len(sys.argv) == 2:
if sys.argv[1] == "create-glint-user":
create_group()
add_user()
elif sys.argv[1] == "remove-glint-user":
remove_user()
#remove_group()
else:
show_usage()
else:
show_usage()... | [
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... | 2.018868 | 159 |
from django.apps import apps
from django.test import TestCase
from model_bakery import baker
from rest_framework import serializers
from api.serializers.common import MappedSerializerMixin
from api.serializers.registration import UserSerializer
from common.constants import models
Profile = apps.get_model(models.PROFI... | [
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1... | 3.761364 | 88 |
import os
import pickle
def var_to_pickle(var, filename):
'''
Writes the given variable to a pickle file
Args:
var (any): variable to be written to pickle file
filename (str): path and filename of pickle file
Returns:
None
'''
try:
with open(filename, 'wb') as... | [
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2298,
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220,
220,... | 2.254364 | 401 |
from dbgen import Model
from . import schema # noqa: F401
from .generators import add_generators
| [
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] | 3.535714 | 28 |
import bisect
import collections
import functools
import math
import operator
try:
import graphviz
GRAPHVIZ_INSTALLED = True
except ImportError:
GRAPHVIZ_INSTALLED = False
from .. import base
from .. import utils
from . import enum
def find_best_split(class_counts, feature_counts, split_enum):
"... | [
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10863,
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57,
62,
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7036,
1961,
... | 2.298723 | 1,175 |
from influxdb import InfluxDBClient
import json
import config
import blegateway
influxCONFIG = config.get_config('influx')
ids = config.get_config('identifiers') | [
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4566,
... | 3.446809 | 47 |
"""The data models used in ARL:
.. note::
There are two visibility formats:
:class:`BlockVisibility` is conceived as an ingest and calibration format. The visibility
data are kept in a block of shape (number antennas, number antennas, number channels,
number polarisation). One block is kept per integr... | [
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318,
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281,
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36537... | 2.200369 | 11,394 |
#tk13.pyw
import tkinter as tk
root = tk.Tk()
root.geometry('300x200')
lb = tk.Label(text='This is a Label,This is a label,This is a Label')
ms = tk.Label(text='This is a Message.This is a a Message.This is a Message.This is a Message')
[widget.pack()for widget in (lb,ms)]
root.mainloop() | [
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11639,... | 2.621622 | 111 |
from itertools import izip_longest
outpath = "redd-test/"
dir = "redd-test/house_1/"
with open(dir+'channel_5_6.dat') as f3,\
open(dir+'channel_6_7.dat') as f4, open(dir+'channel_7_5.dat') as f5, open(dir+'channel_8_5.dat') as f6,\
open(dir+'channel_9_3.dat') as f7, open(dir+'channel_11_9.dat') as f8, open(d... | [
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7,
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10,
6,
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6... | 1.823653 | 2,376 |
import argparse
import subprocess
from typing import Iterable, Optional, Tuple
from attr import attrib, attrs
__version__ = '0.15.0'
Command = Tuple[str, ...]
@attrs(frozen=True)
TOOLS = [
CommandTool('flake8', default_files=()),
CommandTool(
'isort', run_params=('-c',), fix_params=(), default_f... | [
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6,
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1... | 2.294872 | 234 |
import numpy as np
import math
import matplotlib.pyplot as plt
from matplotlib import cm
# Create random input and output data
x = np.linspace(-math.pi, math.pi, 2000)
y = np.sin(x)
# Randomly initialize weights
a = np.random.randn()
b = np.random.randn()
c = np.random.randn()
d = np.random.randn()
learning_rate =... | [
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... | 2.159737 | 914 |
# Copyright (c) 2015 Microsoft Corporation
from z3 import *
set_option(auto_config=True)
x, y = Ints('x y')
print eq(x + y, x + y)
print eq(x + y, y + x)
n = x + y
print eq(n, x + y)
# x2 is eq to x
x2 = Int('x')
print eq(x, x2)
# the integer variable x is not equal to
# the real variable x
print eq(Int('x'), Real(... | [
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... | 2.414815 | 135 |
# This is a script that turns a KaTrain AI into a sort-of GTP compatible bot
import json
import random
import sys
import time
import os
import json
import traceback
import math
os.environ["KCFG_KIVY_LOG_LEVEL"] = os.environ.get("KCFG_KIVY_LOG_LEVEL", "warning")
from katrain.core.ai import generate_ai_move
from katra... | [
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12... | 2.127159 | 3,531 |
'''
The follwing code runs a test lstm network on the CIFAR dataset
I will explicitly write the networks here for ease of understanding
One convlstm layer right after the first cnn
cnn_dropout = 0.4 rnn_dropout = 0.2 , WITH cnivlstm_dropout samples = 10, h = 256, epochs = 50, convlstm activation = relu - out.3732... | [
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286,
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220,
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198,
3198,
3063,
75,
301,
76,
7679,
... | 2.174104 | 8,673 |
import pytest
""" Test Dependency Installation
The purpose is to check if core dependencies are installed properly.
Typically, failure to these tests indicate an incorrection installation
or wrong activation of the virtual environment (i.e. conda, venv, etc.).
"""
| [
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5254,
7603,
281,
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8243,
9988,
220,
198,
273,
2642,
14916,
... | 4.33871 | 62 |
from treys import Evaluator, Deck
from treys.card import pretty
d = Deck.fresh()
print(d)
print(pretty(d))
| [
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7,
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628,
198
] | 2.820513 | 39 |
#!/usr/bin/env python
r"""
This module provides command execution functions such as cmd_fnc and cmd_fnc_u.
"""
import sys
import subprocess
robot_env = 1
try:
from robot.libraries.BuiltIn import BuiltIn
except ImportError:
robot_env = 0
import gen_print as gp
import gen_valid as gv
import gen_misc as gm
if r... | [
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850,
1... | 2.048904 | 1,779 |
import turtle as trt
distance = 70
angle = 90
for compteur in range(4):
if compteur == 0:
trt.color("blue")
elif compteur == 1:
trt.color("red")
elif compteur == 2:
trt.color("green")
else :
trt.color("orange")
trt.write(compteur)
trt.forward(distance)
trt.left(angle)
trt.done()
| [
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7203,
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... | 2.214815 | 135 |
#!/usr/bin/python
#
# Author: Jashua R. Cloutier (contact via sourceforge username:senexcanis)
#
# Copyright (C) 2010, Jashua R. Cloutier
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# * Re... | [
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8,
198,
2,
198,
2,
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357,
34,
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11,
449,
1077... | 2.164682 | 11,926 |
from csv_cti.blueprints.web_api import web_api
from flask import request,current_app,render_template
from csv_cti.blueprints.op.md5_token import encrypt_md5
from csv_cti.blueprints.op.tiers import Tiers_op
#tiers
@web_api.route('/tiers-add/',methods=['POST'])
@web_api.route('/tiers-rm/',methods=['POST'])
@web_api.ro... | [
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72,
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13,
404,
13... | 2.404762 | 168 |
x = lst(1,2,3,4,5,6,7,8,9,10,11,12)
print x
x.move_even_to_end()
print x
x.reverse()
print x
| [
220,
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87,
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62,
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62,
1... | 1.59375 | 64 |
import argparse
import pandas as pd
import numpy as np
import os
# from os.path import join
import sys
import logging
# import joblib
from sklearn.externals import joblib
from sklearn.tree import DecisionTreeRegressor
from sklearn.ensemble import RandomForestRegressor, AdaBoostRegressor, GradientBoostingRegressor... | [
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67,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
28686,
198,
2,
422,
28686,
13,
6978,
1330,
4654,
198,
11748,
25064,
198,
11748,
18931,
198,
198,
2,
1330,
1693,
8019,
198,
6738,
... | 2.389841 | 1,634 |
from discretize.utils import (
exampleLrmGrid, meshTensor, closestPoints, ExtractCoreMesh
)
| [
6738,
1221,
1186,
1096,
13,
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1330,
357,
198,
220,
220,
220,
1672,
43,
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41339,
11,
19609,
51,
22854,
11,
11706,
40710,
11,
29677,
14055,
37031,
198,
8,
198
] | 3.2 | 30 |
import asyncio
import pytest
from typing import List
from tests.setup_nodes import setup_full_system
from src.util.ints import uint32
from src.types.full_block import FullBlock
from src.util.make_test_constants import make_test_constants_with_genesis
from tests.time_out_assert import time_out_assert, time_out_assert_cu... | [
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62,
77,
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62,
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62,
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13,
22602,
13,
29503,
1330,
20398,
2624,
198,
6738,
12351,
13,
19199... | 2.585253 | 217 |
from __future__ import annotations
from typing import Type, Union
from enum import Enum
import inspect
from ..base_schema import Schema
from ..dom import DOMElement
from ..base_schema import SchemaPrimitive, SchemaEnum
def resolve_arg_to_schema(arg: Union[Type, Schema]) -> Schema:
"""
Resolve an argument ... | [
6738,
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37443,
834,
1330,
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198,
198,
6738,
19720,
1330,
5994,
11,
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6738,
33829,
1330,
2039,
388,
198,
198,
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10104,
198,
198,
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11485,
8692,
62,
15952,
2611,
1330,
10011,
2611,
198,
6738,
11485,
3438,
1330,
... | 2.491484 | 411 |
##############################
# support query serve for front web system
# filename:query.py
# author: liwei
# StuID: 1711350
# date: 2019.12.1
##############################
#查询构建
from whoosh import highlight
from whoosh import qparser
from whoosh import index
from flask import Flask
from flask import request... | [
14468,
7804,
4242,
2235,
198,
2,
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4691,
329,
2166,
3992,
1080,
198,
2,
29472,
25,
22766,
13,
9078,
198,
2,
1772,
25,
220,
7649,
42990,
198,
2,
520,
84,
2389,
25,
220,
220,
1596,
1157,
14877,
198,
2,
3128,
25,
220,
220,... | 1.531307 | 4,903 |
"""
Make time series plots.
"""
import galene as ga
import datetime
data_id_list = [
'cmems-nrt',
'run001',
'run002',
]
var_list = ['slev', 'temp']
start_time = datetime.datetime(2016, 6, 1)
end_time = datetime.datetime(2018, 7, 1)
for var in var_list:
dataset_list = []
for data_id in data_id_lis... | [
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198,
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640,
2168,
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13,
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220,
220,
220,
705,
11215,
5232,
12,
77,
17034,
3256,
198,
220,
220,
... | 1.948944 | 568 |
import numpy as np
import copy
from . import cv
#TODO need to refactaring | [
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2,
51,
3727,
46,
761,
284,
1006,
529,
1723
] | 2.884615 | 26 |
"""
three-layers logistic regression model for not-MNIST dataset
Got ~ 87% accuracy.
not-MNIST: http://yaroslavvb. blogspot. it/2011/09/notmnist-dataset.html
author: ANDY (andy929910266@gmail.com)
"""
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
import numpy as np
import tensorflow as tf
import time
impor... | [
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329,
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4,
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13,
198,
197,
1662,
12,
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8808,
25,
2638,
1378,
88,
283,
26388,
85,
65,
13,
4130,
20485,
13... | 2.751333 | 1,500 |
import click
from collections import defaultdict
import importlib
import logging
import redis
import structlog
from .redis_scripts import RedisScripts
from ._internal import *
from .exceptions import *
from .retry import *
from .schedule import *
from .task import Task
from .worker import Worker
__all__ = ['TaskTige... | [
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198,
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445,
271,
62,
46521,
1330,
2297,
271,
7391,
82,
198,
198,
6738,
47540,
3253... | 2.405542 | 1,191 |
# auxiliary
from MDAOfabric.accessories import *
# solvers
from MDAOfabric.solvers import *
| [
2,
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198,
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5189,
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5189,
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13,
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690,
1330,
1635,
198
] | 2.90625 | 32 |
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'AnalysisPlotWidgetTemplate.ui'
#
# Created: Mon Aug 16 15:31:49 2010
# by: PyQt4 UI code generator 4.5.4
#
# WARNING! All changes made in this file will be lost!
from PyQt4 import QtCore, QtGui
from acq4.pyqtgraph.PlotWidget import Pl... | [
2,
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2,
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2,
15622,
25,
2892,
2447,
1467,
1315,
25,
3132,
25,
29... | 2.836207 | 116 |
r"""
Balanced Incomplete Block Designs (BIBD)
This module gathers everything related to Balanced Incomplete Block Designs. One can build a
BIBD (or check that it can be built) with :func:`balanced_incomplete_block_design`::
sage: BIBD = designs.balanced_incomplete_block_design(7,3)
In particular, Sage can build ... | [
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198,
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460,
1382,
257,
198,
3483,
14529,
357,
273,
2198,
326,
340,
460,
307,
3... | 2.030018 | 24,785 |
import numpy as np
from collections import OrderedDict
from GenPlayground import GenPlayground
if __name__ == '__main__':
np.set_printoptions(linewidth=200)
IP, IP_cycle, IP_pe = GenPlayground()
# print(IP_cycle)
# print(IP_pe)
Gen_CTRL(IP, IP_cycle, IP_pe)
| [
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6624,
705,
834,
12417,
834,
10354,
198,
220,
220,
220,
45941,
13,
... | 2.517857 | 112 |
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | [
2,
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2,
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287,
262,
1628,
6808,
329,
5964,
1321,
13,
198,
2,
16529,
1783,
10541,
198,... | 3.272353 | 1,700 |
from django.apps import AppConfig
| [
6738,
42625,
14208,
13,
18211,
1330,
2034,
16934,
628
] | 3.888889 | 9 |
import signal
from telegram.ext import Updater, CommandHandler, MessageHandler, Filters
from telegram import Sticker, InlineKeyboardButton, InlineKeyboardMarkup
import logging
from Utils import telegram_util, twitch_util, config_util
if __name__ == '__main__':
config = config_util.get_config()
logging.basicC... | [
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11,
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1370,
9218,
3526,
21864,
11,
554,
1370,
9218,
3526,
9704,
929,
198... | 2.610909 | 275 |
import matplotlib.pyplot as plt
import numpy as np
from scipy.stats import norm
import math
import matplotlib.colors as colors
from matplotlib import cm
from matplotlib import rc
__author__ = 'ernesto'
# if use latex or mathtext
rc('text', usetex=False)
rc('mathtext', fontset='cm')
# auxiliar function for plot tick... | [
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198,
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541,
88,
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198,
11748,
2603,
29487,
8019,
13,
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669,
355,
7577,
198,
198,
6738,
2... | 2.276432 | 1,693 |
"""Generate a matplotlib canvas and add it to a QWidget contained in a QMainWindow. This will provide the
display and interactions for the PyCCD plots."""
from lcmap_tap.logger import log, exc_handler
from lcmap_tap.Plotting import POINTS, LINES
import sys
import datetime as dt
import numpy as np
import pkg_resource... | [
37811,
8645,
378,
257,
2603,
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8019,
21978,
290,
751,
340,
284,
257,
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7763,
287,
257,
1195,
13383,
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13,
220,
770,
481,
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262,
198,
13812,
290,
12213,
329,
262,
9485,
4093,
35,
21528,
526,
15931,
198,
198,
67... | 2.501748 | 572 |
"""
Miscellaneous functions for working with files
"""
import os
def canonicalize_path(path: str):
"""Converts a path string to its canonical form (easier for comparisons)"""
return os.path.abspath(os.path.realpath(os.path.expanduser(path)))
| [
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198,
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62,
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7,
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25,
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2599,
198,
220,
220,
220,
37227,
3103,
24040,
257,
3108,
4731,
284,
663,
4009... | 3.135802 | 81 |
import os
import _winreg
def get_python_executables():
"""
Find the Maya installation paths using _winreg. The path to the python
executable is extended from the installation path. The dictionary is made
up of keys that are made up of the Maya versions found installed and a
path to the executable... | [
11748,
28686,
198,
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62,
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62,
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315,
2977,
33529,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
9938,
262,
26041,
9988,
13532,
1262,
4808,
5404,
2301,
13,
383,
3108,
284,
262,
21... | 1.950455 | 989 |
"""A rule that provides file(s) specific via DefaultInfo from a given target's DefaultInfo or OutputGroupInfo
"""
load(
"//lib/private:output_files.bzl",
_make_output_files = "make_output_files",
_output_files = "output_files",
)
output_files = _output_files
make_output_files = _make_output_files
| [
37811,
32,
3896,
326,
3769,
2393,
7,
82,
8,
2176,
2884,
15161,
12360,
422,
257,
1813,
2496,
338,
15161,
12360,
393,
25235,
13247,
12360,
198,
37811,
198,
198,
2220,
7,
198,
220,
220,
220,
366,
1003,
8019,
14,
19734,
25,
22915,
62,
1... | 2.971429 | 105 |
"""This script converts a collection of MIDI files to multitrack pianorolls.
"""
import os
import json
import argparse
import warnings
import pretty_midi
from pypianoroll import Multitrack
from utils import make_sure_path_exists, change_prefix, findall_endswith
from config import CONFIG
if CONFIG['multicore']... | [
37811,
1212,
4226,
26161,
257,
4947,
286,
33439,
3696,
284,
41785,
39638,
43923,
273,
33421,
13,
201,
198,
37811,
201,
198,
11748,
28686,
201,
198,
11748,
33918,
201,
198,
11748,
1822,
29572,
201,
198,
11748,
14601,
201,
198,
11748,
2495,... | 2.191004 | 1,623 |
from flask import request, current_app
import jwt
from app.models.auth import User
from app.api import api
# required_token decorator
| [
6738,
42903,
1330,
2581,
11,
1459,
62,
1324,
198,
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474,
46569,
198,
198,
6738,
598,
13,
27530,
13,
18439,
1330,
11787,
198,
6738,
598,
13,
15042,
1330,
40391,
628,
198,
2,
2672,
62,
30001,
11705,
1352,
198
] | 3.605263 | 38 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Fetches audit log data from the Mimecast API and saves to a folder for Sumo Logic data collection"""
import base64
import hashlib
import hmac
import json
import logging
import os
import pickle
import uuid
import time
import datetime
import sys
from os.path import dirna... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
198,
37811,
37,
316,
2052,
14984,
2604,
1366,
422,
262,
337,
524,
2701,
7824,
290,
16031,
284,
257,
9483,
329,
5060,
... | 2.570166 | 905 |
import unittest
from core.poly_parser import *
if __name__ == '__main__':
unittest.main()
| [
11748,
555,
715,
395,
198,
6738,
4755,
13,
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62,
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1330,
1635,
628,
198,
198,
361,
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3672,
834,
6624,
705,
834,
12417,
834,
10354,
198,
220,
220,
220,
555,
715,
395,
13,
12417,
3419,
198
] | 2.621622 | 37 |
from typing import List, Optional
from dataclasses import dataclass
from botbuilder.schema import ActivityTypes, Activity
from botbuilder.core import MessageFactory
from botbuilder.dialogs import (
WaterfallDialog,
WaterfallStepContext,
DialogTurnResult,
PromptOptions,
Choice,
ChoicePrompt,
)
fr... | [
6738,
19720,
1330,
7343,
11,
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198,
6738,
4818,
330,
28958,
1330,
4818,
330,
31172,
198,
6738,
10214,
38272,
13,
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2611,
1330,
24641,
31431,
11,
24641,
198,
6738,
10214,
38272,
13,
7295,
1330,
16000,
22810,
198,
6738,
10214,
382... | 3.202186 | 183 |
# Theory: Introduction to Python
# Computer science has been around for a while, and
# programming languages are one of its main tools. These are
# designed to help us implement software to run on a computer.
# Just as natural languages for people, they serve as a
# communication tool, only between people and machines.... | [
2,
17003,
25,
22395,
284,
11361,
198,
2,
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3783,
468,
587,
1088,
329,
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981,
11,
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198,
2,
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389,
530,
286,
663,
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13,
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389,
198,
2,
3562,
284,
1037,
514,
3494,
3788,
284,
1057,
319,
257,
3644,
... | 4.026342 | 987 |
from __future__ import print_function
import pytest
import requests
from jenkinsapi.jenkins import Requester
from jenkinsapi.custom_exceptions import JenkinsAPIException
from mock import patch
@patch('jenkinsapi.jenkins.Requester.AUTH_COOKIE', 'FAKE')
@patch('jenkinsapi.jenkins.Requester.AUTH_COOKIE', '... | [
6738,
11593,
37443,
834,
1330,
3601,
62,
8818,
198,
11748,
12972,
9288,
198,
11748,
7007,
198,
6738,
474,
268,
5331,
15042,
13,
48796,
5331,
1330,
9394,
7834,
198,
6738,
474,
268,
5331,
15042,
13,
23144,
62,
1069,
11755,
1330,
21835,
17... | 3.008772 | 114 |
from flask import Blueprint, flash, redirect, render_template, request, url_for
from flask_login import login_required
from app.dao.rent import get_all_rentcodes
from app.dao.money import get_acc_descs, get_moneydets, get_money_item, toggle_cleared
from app.main.money import collect_search_filter, mget_money_acc, mget... | [
6738,
42903,
1330,
39932,
11,
7644,
11,
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11,
8543,
62,
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11,
220,
2581,
11,
19016,
62,
1640,
198,
6738,
42903,
62,
38235,
1330,
17594,
62,
35827,
198,
6738,
598,
13,
67,
5488,
13,
1156,
1330,
651,
62,
439,
62,
1156,
40148... | 2.70098 | 408 |
from synonym_dict import SynonymDict, SynonymSet
class QuantitySynonyms(SynonymSet):
"""
QuantitySynonyms are string terms that all refer to the same quantity of measure. They must all have the same
unit, because they are used to define the unit of measure of flowables. To repeat: quantity instances t... | [
6738,
6171,
5177,
62,
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1330,
16065,
5177,
35,
713,
11,
16065,
5177,
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628,
628,
198,
198,
4871,
39789,
29934,
43612,
7,
29934,
5177,
7248,
2599,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
39789,
29934,
43612,
389,
4731,
... | 2.885417 | 288 |
import os
import sys
from algorithms import dijkstra, floyd
from utils import *
TASK1_START = 0
print '-'*35 + '\ntask1 - shortest ways from ({})\n'.format(TASK1_START + 1) + '-'*35
g_list, g_mat = read_graph_list('task1.in')
dist, prev, table = dijkstra(g_list, TASK1_START)
user_interaction(prev, dist, g_mat)
wri... | [
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7... | 2.288372 | 215 |
bashCommand = "rostopic pub -1 /spray_onoff std_msgs/Float32 1.0"
import subprocess
process = subprocess.Popen(bashCommand.split(), stdout=subprocess.PIPE)
output, error = process.communicate() | [
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from fastapi import FastAPI
from config import ServiceConfig
from apps.libs import init_app
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import os
from office365.sharepoint.client_context import ClientContext
SITE_URL = os.getenv('SITE_URL')
USER = os.getenv('USER')
PASS = os.getenv('PASS')
DESTINATION = os.getenv('DESTINATION')
FILE = os.getenv('FILE')
FILE_ON_SERVER = os.getenv('FILE_ON_SERVER')
if __name__ == "__main__":
main()
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1... | 2.571429 | 119 |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import torch
import torch.nn as nn
import torch.nn.functional as F
from crlapi.core import CLModel
from crlapi.sl.clmodel... | [
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42... | 3.42246 | 187 |
from ibm_db_sa import requirements
Requirements = requirements.Requirements
| [
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from datetime import datetime, time, timedelta
from PyShift.test.base_test import BaseTest
from PyShift.workschedule.work_schedule import WorkSchedule
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... | 2.009174 | 109 |
# -*- coding: utf-8 -*-
"""
ppmeasurements.util
~~~~~~~~~~~~~~
This module contains utility functions for parsing information,
checking for non-global IP address, convert traceroutes to machine-readable
structures, etc.
:author: Muzammil Abdul Rehman
:copyright: Northeastern University © ... | [
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... | 2.181818 | 1,485 |
# Copyright (c) 2019-2021, Jonas Eschle, Jim Pivarski, Eduardo Rodrigues, and Henry Schreiner.
#
# Distributed under the 3-clause BSD license, see accompanying file LICENSE
# or https://github.com/scikit-hep/vector for details.
import pytest
import vector
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34... | 3.158537 | 82 |
# vim:set ts=8 sw=2 sts=2 et:
"""Store signals."""
import itertools
import struct
import wave
SAMPLE_SIZE = 16 # In bits
class WaveStream(object):
"""A stream of PCM audio data."""
def __init__(self, channels, sample_rate, sample_size):
"""Initialize a WaveStream with integer samples.
Args:
c... | [
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... | 2.937118 | 1,145 |
# encoding=utf-8
import logging
logger = logging.getLogger(__name__)
| [
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import xml.etree.ElementTree as ET
from pprint import pprint as pp
import re
# from OMDB
xmlstring = '''<?xml version="1.0" encoding="UTF-8"?>
<root response="True">
<movie title="The Prestige" year="2006" rated="PG-13" released="20 Oct 2006" runtime="130 min" genre="Drama, Mystery, Sci-Fi" director="Christ... | [
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... | 2.874818 | 687 |