content stringlengths 1 1.05M | input_ids listlengths 1 883k | ratio_char_token float64 1 22.9 | token_count int64 1 883k |
|---|---|---|---|
"""Bosch quirks."""
BOSCH = "Bosch"
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# -*- coding: utf-8 -*-
# This file is part of dj-cookieauth released under the Apache 2 license.
# See the NOTICE for more information.
import base64
import hmac
import hashlib
import time
from django.conf import settings
from django.core.exceptions import ImproperlyConfigured
from django.contrib.auth.models import... | [
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2779,
... | 3.355769 | 104 |
import sys
import fileinput
from collections import defaultdict
from itertools import chain
if __name__ == '__main__' and not sys.flags.interactive:
lines = [line.strip() for line in fileinput.input()]
print(solve(lines[0], lines[2:], 2))
print(solve(lines[0], lines[2:], 50))
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# Definition for a Node.
"""
11:23 - 11:36 7/30
high level: BFS, level order traversal
mid level: queue store cur level res, for the popped node, for its all children, add them to queue
test:
size = 2
cur_res = [5, 6]
q = []
cur = 6
res = [[1], [3, 2, 4], [5, 6]]
time: O(# of nodes) -> O(n)
space:O(max(width of no... | [
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... | 2.614286 | 140 |
#!/usr/bin/env python
from setuptools import setup, find_packages
setup(
name='django-payfast',
version='0.3.dev',
author='Mikhail Korobov',
author_email='kmike84@gmail.com',
maintainer='Piet Delport',
maintainer_email='pjdelport@gmail.com',
packages=find_packages(exclude=['payfast_tests']... | [
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15,... | 2.723529 | 340 |
from utils import *
from mpmath import ellipe, ellipk, ellippi
from scipy.integrate import quad
import numpy as np
C1 = 3.0 / 14.0
C2 = 1.0 / 3.0
C3 = 3.0 / 22.0
C4 = 3.0 / 26.0
def el2(x, kc, a, b):
"""
Vectorized implementation of the `el2` function from
Bulirsch (1965). In this case, `x` is a *vec... | [
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628,
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34,
16,
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... | 1.798807 | 2,515 |
from django.core.exceptions import ValidationError
from django.utils.deconstruct import deconstructible
from django.utils.translation import gettext_lazy as _
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35... | 3.72093 | 43 |
from bolt_srl.model import BoltSRLModel
from bolt_srl.predictor import BoltSRLPredictor
from bolt_srl.reader import BoltSRLReader
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from __future__ import print_function
import sys
import importlib
from django.conf import settings
import graphene
from .base import sharedql
for imports in settings.INSTALLED_APPS:
imports = imports + ".schema"
try:
mod = importlib.import_module(imports + ".schema")
except ImportError:
... | [
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... | 2.824786 | 234 |
test = Solution()
print test.numIslands(
[[1, 1, 0, 0, 0],
[0, 1, 0, 0, 1],
[0, 0, 0, 1, 1],
[0, 0, 0, 0, 0],
[0, 0, 0, 0, 1]])
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657... | 1.746835 | 79 |
"""
import pyaudio
p = pyaudio.PyAudio()
for i in range(p.get_device_count())
print(p.get_device_info_by_index(i))
"""
import pyaudio
p = pyaudio.PyAudio()
for i in range(p.get_device_count()):
info = p.get_device_info_by_index(i)
print(info['index'], info['name'])
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1525,... | 2.405172 | 116 |
A_0203_11 = {0: {'A': -0.12570904708437197, 'C': -0.20260572185781892, 'E': -4.0, 'D': -4.0, 'G': -4.0, 'F': -4.0, 'I': 0.7830374415420228, 'H': -0.6847918068824875, 'K': -0.6847918068824875, 'M': 0.981018297402464, 'L': 1.1760718746127061, 'N': -0.09649609424570203, 'Q': 0.39410708558422325, 'P': -4.0, 'S': -0.2026057... | [
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1... | 1.80656 | 2,683 |
import werkzeug
try:
import dotmap
except:
dotmap = None
try:
import addict
except:
addict = None
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22... | 2.468085 | 47 |
# Generated by Django 2.2.1 on 2019-05-26 00:42
from django.db import migrations, models
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1330,
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602,
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628
] | 2.84375 | 32 |
import sys
MASTER_PASSWORD = "opensesame"
password = input("Please enter the super secret password: ")
attempt_count = 1
while password != MASTER_PASSWORD:
if attempt_count > 3:
sys.exit("Too many invalid password attempts")
password = input("Invalid password, try again: ")
attempt_count += 1
pri... | [
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32... | 3.088496 | 113 |
import json
import os
from typing import Dict, Tuple, List
import numpy as np
import tensorflow as tf
from keras import backend as K
from textgenrnn.model import textgenrnn_model
def rnn_guess(models_dir: str, check_models: List[str], in_str: str, reset=False) -> Dict[str, float]:
"""Keyword arguments for get_... | [
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673... | 2.249694 | 1,634 |
from datetime import datetime
from django.contrib.auth import get_user_model
from django.core.management.base import BaseCommand, no_translations
from note.models import NoteIndexPage
from note.models import NotePage
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# -*- coding: utf-8 -*-
# Generated by Django 1.10.6 on 2017-03-16 12:55
from __future__ import unicode_literals
from django.db import migrations, models
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... | 2.736842 | 57 |
from flask_unchained import BundleConfig
| [
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1328,
1330,
25282,
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] | 4.666667 | 9 |
from .norms.api import *
from .losses.api import *
from .sampler import selective_sampler_MH
| [
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20053,
1330,
21792,
62,
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20053,
62,
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] | 3.032258 | 31 |
from rest_framework import serializers
from .models import Category, Brand, Supply, Unit, SupplyItem, Packaging, Product
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] | 4.129032 | 31 |
from flask import url_for, request, current_app
from app.auth.models import User, PreAllowedUser
from app.extensions import db
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] | 3.583333 | 36 |
from django.forms import ModelForm, ModelChoiceField
from django.contrib import admin
from django.utils.translation import gettext_lazy as _
from dal import autocomplete
from .models import (
DiscountCategory, DiscountCombo, DiscountComboComponent,
PointGroup, PricingTierGroup, RegistrationDiscount,
Custo... | [
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#!/usr/bin/env python
# Copyright 2013 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | [
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3... | 2.279039 | 3,831 |
from dataclasses import dataclass
# https://community.finicity.com/s/article/207505363-Multi-Factor-Authentication-MFA
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from __future__ import absolute_import
import base64
import os
import pathlib
import unittest
import conjur
from OpenSSL import crypto, SSL
CERT_DIR = pathlib.Path('config/https')
SSL_CERT_FILE = 'ca.crt'
CONJUR_CERT_FILE = 'conjur.crt'
CONJUR_KEY_FILE = 'conjur.key'
def generateKey(type, bits):
"""Generates a... | [
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11,
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19... | 2.392544 | 456 |
import os
import pandas as pd | [
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198,
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19798,
292,
355,
279,
67
] | 3.222222 | 9 |
import asyncio
from asyncio.events import AbstractEventLoop
import json
import logging
import zlib
from aiohttp import ClientSession, ClientWebSocketResponse
from ..cert import Cert
from ..hardcoded import API_URL
from ..net_client import BaseClient
| [
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673... | 4.015873 | 63 |
from abc import ABC
from typing import List, Type
from reamber.base.lists.notes.NoteList import NoteList
| [
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] | 3.483871 | 31 |
import os
import sys
import re
import json
import logging
###from pylons import request, response, session, app_globals, tmpl_context, url as c, config
from pylons import request, response, session, app_globals, tmpl_context as c, config, url
from pylons.controllers.util import abort, redirect
from pylons.decorators ... | [
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... | 3.156915 | 376 |
import flair
import numpy as np
import spacy
import tensorflow_hub as hub
import torch
from flair.data import Sentence
from flair.models import SequenceTagger
from nltk.tokenize.treebank import TreebankWordDetokenizer
from sklearn.metrics.pairwise import cosine_similarity
from string import punctuation
from transformer... | [
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... | 3.551471 | 136 |
# Insert Interval
if __name__ == "__main__":
sol = Solution()
intervals = [[1,3],[6,9]]
newInterval = [2,5]
intervals = [[1,2],[3,5],[6,7],[8,10],[12,16]]
newInterval = [4,18]
print(sol.insert(intervals, newInterval))
| [
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3672,
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834,
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1540,
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220,
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16,
11,
18,
38430,
21,
11,
24,
11907,
198,
220,
220,
220,
... | 2.218182 | 110 |
# encoding: UTF-8
""""
1min
5min
1.
2.
3.
"""
import talib
import numpy as np
from cyvn.trader.vtObject import VtBarData
from cyvn.trader.vtConstant import EMPTY_STRING
from cyvn.trader.app.ctaStrategy.ctaTemplate import CtaTemplate, BarGenerator, ArrayManager
from cyvn.trader.vtConstant import *
##########... | [
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... | 2.379791 | 1,148 |
# -*- coding: utf-8 -*-
import os
import re
from selenium import webdriver
from xvfbwrapper import Xvfb
from cabu.exceptions import DriverException
from cabu.utils.headers import Headers
from selenium.webdriver.common.desired_capabilities import DesiredCapabilities
from selenium import webdriver
try:
from urllib.... | [
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198,
6738,
16212,
84,
13,
1... | 2.556983 | 1,790 |
import pygame as pg
display = pg.display.set_mode((900,600))
clock = pg.time.Clock()
jump = 10
step = 0
img = 0
left = [pg.image.load('images/character/l1.png'),pg.image.load('images/character/l2.png'),pg.image.load('images/character/l3.png'),pg.image.load('images/character/l4.png'),pg.image.load('images/character/l5.p... | [
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1... | 2.629703 | 505 |
#!/usr/bin/env python3
import picamera
import file_utils
import os
| [
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] | 3 | 23 |
_base_ = [
'../_base_/models/flownets.py',
'../_base_/datasets/flyingchairs_384x448.py',
'../_base_/schedules/schedule_s_long.py', '../_base_/default_runtime.py'
]
| [
62,
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... | 2.095238 | 84 |
from CalibTracker.SiStripCommon.shallowTree_test_template import *
process.TFileService.fileName = 'test_shallowRechitClustersProducer.root'
process.load('RecoTracker.TrackProducer.TrackRefitters_cff')
process.load('CalibTracker.SiStripCommon.ShallowRechitClustersProducer_cfi')
process.testTree = cms.EDAnalyzer(
"S... | [
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354,
270,
2601,
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2189,
... | 2.540909 | 220 |
from typing import Sequence
import numpy as np
import h5py
from easistrain.EDD.io import (
create_info_group,
peak_dataset_data,
save_fit_data,
)
from easistrain.EDD.utils import fit_detector_data, run_from_cli
def fitEDD_with_scan_number_parse(**config):
"""Wrapper function to allow scanNumber to be... | [
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62,
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62,
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11,
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220,
220,
220,
9103,
62,
... | 2.216216 | 481 |
from sys import argv
script, filename = argv
print "We are going to erase %r." % filename
print "If you don't want that, hit CTRL-C (^C)."
print "If you do want that, hit RETURN."
raw_input("?")
print "Opening the file..."
target = open(filename, 'w')
print "Truncating the file. Goodbye!"
target.truncate()
print ... | [
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12,
34,
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61,
... | 2.867769 | 726 |
# Generated by Django 2.0.6 on 2018-11-01 14:26
from django.db import migrations, models
| [
2,
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362,
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198,
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42625,
14208,
13,
9945,
1330,
15720,
602,
11,
4981,
628
] | 2.84375 | 32 |
from django.test import TestCase
from filler.plain_classes.teams_data import TeamsData
| [
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62,
37724,
13,
660,
4105,
62,
7890,
1330,
24690,
6601,
628
] | 3.56 | 25 |
from dungeon_model import Monsters, Players
import re
import math
def initiative_sort(init_order):
"""sorts all the characters for a given combat by initiative"""
print("passed into sort function: ", init_order)
for i in range(len(init_order)):
check = init_order[i]
print("the check is: ",... | [
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82,
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477,
262,
3435,
329,
257,
1813,
5249,
416,
10219,
378... | 1.908156 | 1,459 |
"""
Created on Mon Jun 7 12:57:10 2021
@author: horvat
"""
| [
198,
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31,
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85,
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37811,
628,
198
] | 2.37037 | 27 |
# administrative username and password for development
ADMIN_USERNAME = 'admin'
ADMIN_PASSWORD = 'password'
ADMIN_TYPE = 'admin'
# for production
# ADMIN_USERNAME = 'environ.get('ADMIN_USERNAME')
# ADMIN_PASSWORD = 'environ.get('ADMIN_PASSWORD')
# ADMIN_TYPE = 'environ.get('ADMIN_TYPE')
| [
2,
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290,
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62,
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6,
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2,
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3227,
198,
2,
... | 2.823529 | 102 |
from agents.agent import Agent
from models.actor_critic_mlp import ActorCriticMLP
import numpy as np
import torch
import torch.optim as optim
from utils import plot_grad_flow
| [
6738,
6554,
13,
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198,
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198,
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... | 3.52 | 50 |
from common import google_cloud
training_param = GANTrainParameters()
| [
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628,
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62,
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198
] | 3.842105 | 19 |
#!/usr/bin/env python
# --------------------------------------------------------
# Tensorflow Faster R-CNN
# Licensed under The MIT License [see LICENSE for details]
# Written by Xinlei Chen, based on code from Ross Girshick
# --------------------------------------------------------
"""
Demo script showing detections... | [
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14,
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2,
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416,
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293,
... | 2.193866 | 3,456 |
# pylint:disable=too-many-lines
import os
import time
from faker import Faker
from unittest.mock import patch
import pytest
from hestia.internal_services import InternalServices
from rest_framework import status
import conf
import stores
from api.experiments import queries
from api.experiments.serializers import (... | [
2,
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25,
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12,
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555,
715,
395,
13,
76,
735,
1330,
8529,
198,
198,
11748,
12972,
9288,
198,
198,... | 3.373596 | 712 |
import pygame
import speech_recognition as sr
from time import sleep
import events
import objects as obj_types
from settings import SPEECH_CRED_FILE
from speech_helpers import correct_text, either_side, get_after, get_position, get_positions, get_size, is_in_objects, process_relative, select_obj_type
# A variable lis... | [
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36,
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62,
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1961,
62,
25664,
198,
6738,
... | 2.355774 | 2,139 |
import gin
from colosseum.loops import human_loop
from colosseum.mdps import EpisodicMDP
from colosseum.mdps.river_swim.river_swim import RiverSwimMDP
if __name__ == "__main__":
mdp = RiverSwimEpisodic(
seed=42,
randomize_actions=False,
size=15,
lazy=0.01,
random_action_... | [
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62,
... | 2.066986 | 209 |
# How to add a test:
# Copy this file
# Rename TestTemplate to TestWhatever in line 9
# Rename machine path and config file in lines 11 and 14
from mpfmc.tests.MpfMcTestCase import MpfMcTestCase
| [
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69,
2... | 3.283333 | 60 |
# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: proto/availability-msgs.proto
"""Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pool as _descriptor_pool
from google.protobuf import message as _m... | [
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12,
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13,
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198,
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8645,
515,
... | 2.530827 | 1,330 |
import numpy as np
import pandas as pd
import datetime
from okokyst_metadata import surveys_lookup_table
import os
import re
import glob
import gsw
from okokyst_tools import pressure_to_depth
encoding = "ISO-8859-1"
__author__ = 'Elizaveta Protsenko'
__email__ = 'Elizaveta.Protsenko@niva.no'
__created__ = datet... | [
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62,
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198,
11748,
28686,
198,
11748,
302,
198,
11748,
15095,
198,
117... | 2.054313 | 2,504 |
import pytest
from tartiflette.language.ast import InterfaceTypeExtensionNode
| [
11748,
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198,
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35842,
361,
21348,
13,
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628,
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] | 3.904762 | 21 |
'''Given two arrays, write a function to compute their intersection.
'''
| [
7061,
6,
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734,
26515,
11,
3551,
257,
2163,
284,
24061,
511,
16246,
13,
198,
7061,
6,
628,
198
] | 3.947368 | 19 |
from collections import defaultdict
import json
from pandas.core import frame
import torch
import pandas as pd
import os
import pickle as pkl
import numpy as np
import cv2
import h5py
import tqdm
import functools
import lmdb
| [
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2298,
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41582,
198,
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... | 3.323529 | 68 |
'''
Merge Two Sorted Lists
Asked in:
Microsoft
Yahoo
Amazon
Merge two sorted linked lists and return it as a new list.
The new list should be made by splicing together the nodes of the first two lists, and should also be sorted.
For example, given following linked lists :
5 -> 8 -> 20
4 -> 11 -> 15
The merged ... | [
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340,
355,
257,
649,
1351,
13,
198,
464,
649,
1351,
815,
307... | 3.351351 | 111 |
v = int(input('Digite um valor: '))
validador = 0
contador = 1
while contador < v:
if v % contador == 0:
validador += 1
contador +=1
if validador > 1:
print(f'Esse nmero NO primo, pois divisvel por {validador+1} nmeros diferentes ')
else:
print('Esse nmero primo') | [
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493,
7,
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198,
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1279,
410,
25,
198,
220,
220,
220,
611,
410,
4064,
542,
7079,
6624,
657,
25,
... | 2.273438 | 128 |
"""Testing methods that need Handle server read access"""
import sys
if sys.version_info < (2, 7):
import unittest2 as unittest
else:
import unittest
import requests
import json
import mock
import b2handle
from b2handle.handleclient import EUDATHandleClient
from b2handle.handleexceptions import *
# Load some... | [
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2... | 3.375566 | 221 |
# !/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Filename: models.py
# Project: core
# Author: Brian Cherinka
# Created: Saturday, 12th September 2020 12:55:22 pm
# License: BSD 3-clause "New" or "Revised" License
# Copyright (c) 2020 Brian Cherinka
# Last Modified: Saturday, 12th September 2020 12:55:22 pm
# Modifie... | [
2,
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9,
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2,
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2,
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25,
4755,
198,
2,
6434,
25,
8403,
19305,
48955,
198,
... | 2.734365 | 3,102 |
import re
import html
import pandas as pd
re1 = re.compile(r' +')
# https://github.com/prajjwal1/language-modelling/blob/master/ULMfit.py
| [
11748,
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7,
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6,
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198,
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12567,
13,
785,
14,
79,
430,
41098,
16783,
16,
14,
16129,
12,
... | 2.448276 | 58 |
from .core import Config
| [
6738,
764,
7295,
1330,
17056,
198
] | 4.166667 | 6 |
from xd.build.core.data.namespace import *
from xd.build.core.data.expr import Expression
from xd.build.core.data.string import String
from xd.build.core.data.list import List
from xd.build.core.data.dict import Dict
from xd.build.core.data.func import Function
from xd.build.core.data.num import *
import unittest
| [
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from google.appengine.ext import ndb
from protorpc import messages
from google.appengine.ext.ndb import msgprop
from csvmodel import CsvModel
| [
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##***
##class Base:
## def methodBase(self):
## print("In base class")
##class child(Base):
## def methodchild(Base):
## print("In child class")
##c1=child()
##c1.methodBase()
##c1.methodchild()
##***
##class Base:
## def ___init__(self):
## print('base')
##class child(Base):
## pass
... | [
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220,... | 2.110169 | 236 |
from ._bounding_box import *
from ._user_IDs import *
from ._user_points import *
| [
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import appdaemon.plugins.hass.hassapi as hass
#
# Listen for presence sensor change state and change alarm control panel state.
#
# Args:
# sensor - home presence 'sensor'
# ha_panel - alarm control panel entity (to arm and disarm).
# constraint - (optional, input_boolen), if turned off - alarm panel will be n... | [
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14... | 3.117188 | 128 |
from random import randint
import datetime
lvl = 10
base_rounds = 10
rounds = lvl * base_rounds
print("You have", rounds, "rounds to try to get through.")
for i in range(rounds):
r = randint(1, 100)
print(r)
if r >= 96:
break
print("Number of rounds:", i)
if i == rounds - 1:
print("Nothing ... | [
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... | 2.567742 | 155 |
from ._version import get_versions
from .contexts import cd
from .prompting import error, prompt, status, success
from .unix import cp, ln_s
__all__ = ["prompt", "status", "success", "error", "cp", "cd", "ln_s"]
__version__ = get_versions()["version"]
del get_versions
| [
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... | 3.05618 | 89 |
"""Test Trotter Hamiltonian methods from `qibo/core/hamiltonians.py`."""
import pytest
import numpy as np
import qibo
from qibo import hamiltonians, K
from qibo.tests.utils import random_state, random_complex, random_hermitian
def test_trotter_hamiltonian_scalar_mul(nqubits=3):
"""Test multiplication of Trotter ... | [
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2676... | 2.289416 | 1,814 |
import asyncio
| [
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] | 4 | 4 |
import warnings
import torch.nn as nn
def conv1x1_group(in_planes, out_planes, stride=1, groups=1):
"""
1x1 convolution with group, without bias
- Normal 1x1 convolution when groups == 1
- Grouped 1x1 convolution when groups > 1
"""
return nn.Conv2d(in_channels=in_planes,
... | [
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22... | 1.95005 | 1,001 |
from sanic import Sanic
from sanic.response import json
from sanic_openapi import doc, swagger_blueprint
from util import authorized
app = Sanic(__name__)
app.config["API_TITLE"] = "My-DataHub-OpenAPI"
app.config["API_VERSION"] = "0.1.0"
app.config["API_DESCRIPTION"] = "An example Swagger from Sanic-OpenAPI"
app.co... | [
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... | 2.572016 | 243 |
# -*- coding: utf-8 -*-
import contextlib
import sqlalchemy
import sqlalchemy.orm
from twisted.application.service import Service
from zope.interface.declarations import implementer
from bouser.helpers.plugin_helpers import Dependency, BouserPlugin
from .interfaces import IDataBaseService
__author__ = 'mmalkov'
| [
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# -*- coding: utf-8 -*-
from pydub import AudioSegment
import sys
import glob
if __name__ == "__main__":
args = sys.argv
folder = glob.glob(args[1] + "/*.wav")
initial = False
for file in folder:
soundfile = AudioSegment.from_file(file, "wav")
if initial == False:
soundfil... | [
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22... | 2.17603 | 267 |
import numpy as np
import pandas as pd
from utils import calculate_q
from scipy import stats
def calculate_deg_fold_change(data1_df, data2_df, fc_cutoff=1,
alternative='two-sided'):
"""
This function calculates differentially expressed genes (DEGs)
between two DataFrames or Series... | [
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... | 2.566474 | 1,557 |
"""
This is a test that we're using to gather example data from our two example models.
This is passed a list of image names, image numbers, and the vector representing the face in the photo,
and this script takes that and a split of testing vs training data to determine how accurate the model was by simply
checking wh... | [
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11... | 3.567568 | 333 |
import numpy as np
random_split_train_test("/home/bassel/data/oa_kinetics/lbls/actions_stack_list.txt",
"/home/bassel/data/oa_kinetics/lbls/action_train_stacks_list.txt",
"/home/bassel/data/oa_kinetics/lbls/action_test_stacks_list.txt") | [
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... | 1.97931 | 145 |
"""
Functions and classes for interacting with the CodeRED data format
"""
from dataclasses import dataclass
from typing import List, Optional, Union
import pandas as pd
from .types import FilenameType
# The required headers for CodeRED
EXCEL_HEADERS = (
"Command",
"CustomKey",
"ContactId",
"First Na... | [
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from imagekit.admin import AdminThumbnail
from django.contrib.admin import TabularInline
from core.admin.forms import LimitedInlineFormSet
from core.admin.utils import (
get_change_view_link,
get_changelist_view_link
)
from ..models import PremierProduct
| [
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... | 3.283951 | 81 |
import unittest
from src.cumulator.base import Cumulator
if __name__ == '__main__':
unittest.main()
| [
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] | 2.74359 | 39 |
#!/usr/bin/python3
import argparse
import logging as log
from aiohttp import web
from api.databasemanager import DictionaryDatabaseManager
from api.dictionary import \
entry, \
definition, \
translation, \
configuration
from api.dictionary import \
get_dictionary, \
get_dictionary_xml, \
g... | [
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... | 2.606343 | 1,608 |
from output.models.nist_data.list_pkg.any_uri.schema_instance.nistschema_sv_iv_list_any_uri_enumeration_1_xsd.nistschema_sv_iv_list_any_uri_enumeration_1 import (
NistschemaSvIvListAnyUriEnumeration1,
NistschemaSvIvListAnyUriEnumeration1Type,
)
__all__ = [
"NistschemaSvIvListAnyUriEnumeration1",
"Nists... | [
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... | 2.181818 | 165 |
import torch
import numpy as np
import re
import itertools
from textwrap import wrap
import matplotlib.pyplot as plt
def padding_mask(lengths, batch_size, time_size=None):
"""
Computes a [batch_size, time_size] binary mask which selects all and only the
non padded values in the input tensor
:param t... | [
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7,... | 2.551508 | 796 |
from faq_module.storage import FAQManager # , FAQConfig, FAQData
# from faq_module.commands import text
# from discord.ext import commands
# import faq_module.text
# import logging
import discord
# import typing
import re
| [
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2,
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... | 3.546875 | 64 |
from tests.utils import hass_mock, get_instances
import devices as devices_module
from core import Controller
from core import type as type_module
| [
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] | 3.897436 | 39 |
#!/usr/bin/env python
from setuptools import setup, find_packages
setup(name='iocfg',
version='0.1',
description='Configuration for IO modules on Novus IHM',
author='Thomas Del Grande',
author_email='tgrande@pd3.com.br',
packages=find_packages(),
scripts=[
'scripts/diocfg',... | [
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198... | 2.217021 | 235 |
# Import pandas using the alias pd
import pandas as pd
# Print the head of the homelessness data
print(homelessness.head())
# Print the values of homelessness
print(homelessness.values)
# Print the column index of homelessness
print(homelessness.columns)
# Print the row index of homelessness
print(homelessness.i... | [
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... | 3.285223 | 582 |
import aiohttp
from time import time
import json
from hashlib import sha512
import hmac
from .fetcher import Fetcher
| [
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764,
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1330,
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2044,
628
] | 3.5 | 34 |
import time
import pytest
from tango.common.logging import initialize_logging
from tango.common.testing import TangoTestCase
from tango.executors.multicore_executor import MulticoreExecutor
from tango.step_graph import StepGraph
from tango.workspaces import LocalWorkspace
from test_fixtures.package.steps import Sleep... | [
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198,
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78,
13,
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... | 3.574468 | 94 |
import cv2
import numpy as np
face_classifier=cv2.CascadeClassifier('HaarCascade/haarcascade_frontalface_default.xml')
cap=cv2.VideoCapture(0)
count=0
while True:
ret, frame=cap.read()
if face_extractor(frame)is not None:
count+=1
face=cv2.resize(face_extractor(frame),(200,200))
... | [
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62,
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13... | 2.044156 | 385 |
import time
import torch
from torch import nn
from transformers import GPT2Tokenizer, GPT2LMHeadModel, GPT2Config
import lightseq.inference as lsi
from lightseq.training.ops.pytorch.quantization import (
qat_mode,
QuantLinear,
TensorQuantizer,
weight_quant_config,
)
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# Copyright (C) 2015-2021 Regents of the University of California
#
# 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 app... | [
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"""
1. Clarification
2. Possible solutions
- Cheat
- Binary search II
3. Coding
4. Tests
"""
# T=O(n), S=O(1)
# T=O(lgn), S=O(1)
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... | 2.043478 | 69 |
import time
from unittest import TestCase
import grpc_testing
from grpc import StatusCode
from grpc.framework.foundation import logging_pool
from cowsay_client import CowsayClient
from cowsay_pb2 import DESCRIPTOR as COWSAY_DESCRIPTOR, QuoteRequest, QuoteResponse
from cowsay_pb2_grpc import CowsayStub
target_service... | [
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32... | 3.236842 | 114 |
SPEC = 'swagger.yaml'
IMPLEMENTATION = 'flask'
OUTPUT = 'build'
FLASK_SERVER_NAME = 'my_flask_server'
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... | 2.217391 | 46 |
# coding: utf-8
"""
Web API Swagger specification
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: 1.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import ... | [
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from dataclasses import dataclass
from typing import List
from source.device_manager.database import get_database_connection,release_database_connection
def get_user_scripts(user: int) -> List[Script]:
scripts=[]
conn = get_database_connection()
with conn:
with conn.cursor() as cursor:
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#! /usr/bin/env python3
import sys
import math
import argparse as ap
from json import dumps as jdumps
from random import choices
if __name__ == '__main__':
main()
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