content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
# -*- coding: utf-8 -*-
import sympy as sp
x = sp.symbols('x')
assert 1 == sp.limit(sp.exp(x), x, 0)
assert 1 == sp.limit(sp.sin(x) / x, x, 0)
assert sp.oo == sp.limit(1.0 / x, x, 0)
assert sp.E.evalf() == sp.limit((1 + 1.0 / x) ** x, x, sp.oo)
| [
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8... | 1.984127 | 126 |
# train eshte skripta permes se ciles formohet .pkl fajlli pra classifier permes training
import numpy as np
import matplotlib.pyplot as plt
from sklearn.neural_network import MLPClassifier
# from sklearn.metrics import accuracy_score, classification_report
# from sklearn import metrics
import joblib
from sklearn.me... | [
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... | 2.619573 | 1,451 |
#!/usr/bin/env python3
#This sample demonstrates reading the IR and UV Index.
#Install Sensor uHAT library with "pip3 install turta-sensoruhat"
from time import sleep
from turta_sensoruhat import Turta_UV_Light
#Initialize
light = Turta_UV_Light.UVAmbientLightSensor()
try:
while True:
#Read UV Index
... | [
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51... | 2.342105 | 266 |
#!/usr/bin/env python3
import pfnet
import numpy as np
from tqdm import tqdm
import tensorflow as tf
from tensorflow import keras
from datetime import datetime
from utils import datautils, arguments, pfnet_loss
def run_training(params):
"""
run training with the parsed arguments
"""
batch_size = para... | [
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11... | 2.295432 | 3,087 |
import os
from django.core.wsgi import get_wsgi_application
try:
import newrelic.agent
newrelic.agent.initialize()
newrelic.agent.capture_request_params()
except Exception as e:
print("newrelic couldn't be initialized:", e)
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "web.settings")
application... | [
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1... | 2.790323 | 124 |
# Copyright © 2018 Stanislav Hnatiuk. All rights reserved.
"""The tests module from the pages app."""
from django.test import TestCase
from django.urls import reverse
from generic.tests import ViewTestMixin
class AboutViewTest(TestCase, ViewTestMixin):
"""Tests for AboutView."""
template = 'pages/about.htm... | [
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14... | 2.912088 | 273 |
import requests
# Create a function for Get_collections() or Get_Collections_HSI() to call the api
url = "https://api.howrare.is/v0.1/collections"
#check what format collection name does
response = requests.request("GET", url)
print(response.text)
# Shortened sample of successful response: showing only 2 collect... | [
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... | 2.014458 | 415 |
# -*- coding: utf-8 -*-
import sys
from PyQt4 import QtGui
from PyQt4 import QtCore
import sip
import xml.etree.ElementTree as ET
from functools import lru_cache
from ctypes import windll
list_of_db_types = ['XML', 'SQLite', 'MS SQL Server']
def indentXML(elem, level=0):
"""
Функция для создания отступов
... | [
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... | 1.837651 | 579 |
import torch
import langpractice as lp
from langpractice.utils.training import run_training
import torch.multiprocessing as mp
torch.autograd.set_detect_anomaly(True)
if __name__ == "__main__":
mp.set_start_method('forkserver')
run_training(lp.training.train)
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2... | 2.882979 | 94 |
# MIT License
#
# Copyright (c) 2018 Evgeny Medvedev, evge.medvedev@gmail.com
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# ... | [
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597,... | 3.493304 | 448 |
# Generated by Django 3.1.7 on 2021-03-17 12:28
from django.db import migrations
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import rflib
dataset_aliases = {
'coco': ['coco', 'mscoco', 'ms_coco'],
}
def get_classes(dataset):
"""Get class names of a dataset."""
alias2name = {}
for name, aliases in dataset_aliases.items():
for alias in aliases:
alias2name[alias] = name
if rflib.is_str(dataset):
... | [
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... | 2.213483 | 267 |
import sys
sys.path.append("../..")
import random
import hashlib
from MyCrypto.algorithms.power import quick_power
from MyCrypto.algorithms.exgcd import gcd, inverse
if __name__ == '__main__':
message = b'message'
dsa = ElGamal(q=19, a=10)
sk, pk = dsa.genKey()
sign = dsa.sign(message, sk)
pri... | [
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772... | 2.3375 | 160 |
from iridauploader.parsers.parsers import Parser
from iridauploader.parsers.parsers import supported_parsers
from iridauploader.parsers import exceptions
| [
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263,... | 2.961538 | 52 |
from django.contrib import admin
from .models import Post, Category
# Register your models here.
@admin.register(Post)
@admin.register(Category)
| [
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198
] | 3.488372 | 43 |
import argparse
import hypothesis
import numpy as np
import pickle
import torch
from ratio_estimation import Classifier
from sklearn import svm, datasets
from sklearn.metrics import roc_auc_score
from sklearn.metrics import roc_curve, auc
from tqdm import tqdm
from sklearn.model_selection import train_test_split
from ... | [
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... | 3.156566 | 198 |
#!/bin/python3
"""
You’re given the pointer to the head node of a doubly linked list.
Reverse the order of the nodes in the list.
The head node might be NULL to indicate that the list is empty.
Change the next and prev pointers of all the nodes so that the direction of the list is reversed.
Return a reference to the he... | [
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... | 2.986087 | 575 |
from wechat_sdk import WechatConf
conf = WechatConf(
token='$token',
appid='$appid',
appsecret='$appsecret',
encrypt_mode='safe',
)
| [
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... | 2.035294 | 85 |
from __future__ import absolute_import
from vertica_python.vertica.messages.message import BackendMessage
from vertica_python.vertica.messages.backend_messages.notice_response import NoticeResponse
ErrorResponse._message_id('E')
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43... | 3.584615 | 65 |
from maya.api import OpenMaya
__all__ = [
"average_matrix",
]
def average_matrix(matrices):
"""
Get the average matrix of the all of the provided matrix. All matrices
multiplier by the multiplier of matrices and multiplied.
:param list[OpenMaya.MMatrix] matrices:
:return: Average matrix
... | [
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62,
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7,
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45977,
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220,
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3722... | 2.526316 | 228 |
from db_methods.users import UsersJobs
from models.user import User
with UsersJobs() as uj:
if not uj.exists(123456):
uj.insert_user(User(123456, "AraSH"))
user = uj.get_user(123456)
print(user.name)
else:
uj.delete_user(123456)
| [
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220,
220,
611,
407,
334,
73,
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1023,
7,
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... | 2.125 | 128 |
from math import radians, sin, cos, tan
ang=float(input('Diga o ângulo: '))
print('Seno: {:.2f}'.format(sin(radians(ang))))
print('Cosseno: {:.2f}'.format(cos(radians(ang))))
print('Tangente: {:.2f}'.format(tan(radians(ang)))) | [
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... | 2.456522 | 92 |
"""Query utils."""
class Q(metaclass=_MetaQuery):
"""Allow for query:
>>> Q['persons_count'] > 5
>>> Q['persons'][0]['name'] == 'thomas'
>>> Q['l'].contains(10)
>>> Q['persons'].contains(Q['name'] == 'thomas')
"""
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684... | 2.25 | 112 |
from fastapi import APIRouter
from extensions import Route, ErrorSchema
from apps.api_admin.entities import CreateTokenParser, TokenSchema
from apps.api_admin.logics import LoginResolver
router = APIRouter(route_class=Route, responses=ErrorSchema)
@router.post('', response_model=TokenSchema, status_code=201)
async ... | [
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... | 3.267081 | 161 |
#!/usr/bin/env python
# -*- coding:utf-8 -*-
# build index of pali words into JavaScript Array variables
import os, sys
import shutil
import xml.dom.minidom
import json
import urllib
prefix_code = {
# "°" : "uc",
# "-" : "dash",
"a" : "a",
"ā" : "aa",
"b" : "b",
"c" : "c",
"d" : "d",
"ḍ" : "dotd",
"e... | [
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346... | 2.0123 | 813 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
' test.py '
__author__ = 'Hyman Lee'
############## main code ###############
import const
from pprint import pprint
if __name__ == '__main__':
pprint(vars(const))
print const.SOURCE
| [
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1... | 2.5625 | 96 |
import tensorflow as tf
import os,random
import cv2 as cv
import numpy as np
import glob
from tensorflow.keras import datasets, layers, models
from tensorflow.keras.utils import Sequence
from tensorflow.keras.applications import ResNet101,ResNet50
from tensorflow.keras.preprocessing.image import load_img
impor... | [
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13... | 3.306667 | 150 |
# -*- coding: utf-8 -*-
from .card import Card
# ユニット情報
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254,
109,
198
] | 1.8125 | 32 |
#! /usr/bin/env python
import rospy
import time
import actionlib
from hamdan_actions.msg import TimerAction, TimerResult, TimerFeedback
rospy.init_node('timer_action_server')
server = actionlib.SimpleActionServer('timer', TimerAction, do_timer, False)
server.start()
rospy.spin()
| [
2,
0,
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14629,
14,
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21015,
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198,
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1330,
5045,
263,
12502,
11,
5045,
263,
23004,
11,
5045,
263,
1... | 2.96875 | 96 |
# coding: utf-8
from copy import deepcopy
import os
from supervisely_lib import logger
from supervisely_lib.annotation.annotation import Annotation
from supervisely_lib.imaging import image as sly_image
from supervisely_lib.io.json import load_json_file
from supervisely_lib.nn.config import AlwaysPassingConfigValidat... | [
2,
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6738,
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306,
62,
8019,
13,
1236,
14221,
13,
1236,
14221,
1330,
1052,
... | 3.418605 | 301 |
from .rman_ui_base import _RManPanelHeader
from .rman_ui_base import CollectionPanel
from .rman_ui_base import PRManButtonsPanel
from ..rman_utils.draw_utils import _draw_ui_from_rman_config
from ..rman_utils.draw_utils import _draw_props
from ..rman_constants import NODE_LAYOUT_SPLIT
from ..rman_render import RmanRend... | [
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62,
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62,
9019,
62,
8692,
1330,
4810,
5124,
1537,
27288,
26639,
198,
673... | 2.775401 | 187 |
import torch
import torch.nn as nn
import torch.nn.parallel
| [
11748,
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11748,
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13,
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29363,
628,
628,
628,
628,
628,
628,
628
] | 2.92 | 25 |
import numpy as np
from scipy.stats import rankdata
import torch
def events_to_image(xs, ys, ps, sensor_size=(180, 240), interpolation=None, padding=False, meanval=False, default=0):
"""
Place events into an image using numpy
@param xs x coords of events
@param ys y coords of events
@param ps Event... | [
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331,
82,
11,
26692,
11,
12694,
62,
7857,
16193,
15259,
11,
14956,
828,
3... | 2.374425 | 6,952 |
# Copyright 2022 Garda Technologies, 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 applic... | [
2,
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362,
13,
15,
357,
1169,
366,
34156,
15341,
198,
2,
345,
743,
407,
779,
428,
2393,
2845,
287,
11846,
... | 2.225787 | 1,683 |
import sys
sys.setrecursionlimit(100000)
n,m=map(int,input().split())
p=list(map(int,input().split()))
uf=UnionFind(n)
for i in range(m):
x,y=map(int,input().split())
uf.uni(p[x-1]-1,p[y-1]-1)
count=0
for i in range(n):
if uf.same(i,p[i]-1):
count+=1
print(count) | [
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8899,
7,
600,
11,
15414,
22446,
35312,
3419,
4008,
198,
3046,
2... | 1.972222 | 144 |
import os
import random
from pathlib import Path
from typing import Tuple
import glob
import numpy as np
import cv2
import torch
from torch.utils.data import Dataset
import torchvision.transforms as transforms
import torchvision.transforms.functional as TF
from ganslate.utils.io import make_dataset_of_files
# Config... | [
11748,
28686,
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269,
85,
17,
198,
11748,
28034,
198,
6738,
28034,
13,
26791,
... | 2.461922 | 1,405 |
from django import template
from django.utils.safestring import mark_safe
try:
from django.utils.encoding import force_text
except ImportError:
from django.utils.encoding import force_unicode as force_text
import markdown_tag
from markdown_tag.conf import settings
register = template.Library()
@register.fil... | [
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220,
220,
220,
422,
42625,
14208,
13,
26791,
13,
12685,
7656,
1330,
2700,
62,
5239,
198,
16341,
17267... | 2.771739 | 368 |
from __future__ import print_function, absolute_import
import os
import torch
import shutil
from torchvision.datasets import ImageFolder
from torchvision.datasets.utils import check_integrity, download_and_extract_archive, extract_archive, verify_str_arg
ARCHIVE_DICT = {
'data': {
'url': 'http://cs231n.... | [
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292,
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1330,
7412,
41092,
198,
6738,
28034,
10178,
13,
19608,
... | 2.717608 | 602 |
from logging import config
from .rp1interface import RP1Controller
from typing import Dict
from .typings import Odrive as Odrv, Axis #For type checking etc
import odrive
from odrive.enums import *
import time
from time import perf_counter, sleep
import logging
import threading
import math
def d... | [
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81,
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360,
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28004,
654,
1330,
440,
19472,
355,
440,
7109,
85,
11,
38349,
1303,
1890,
2099,
10627,... | 2.349925 | 663 |
import tensorflow as tf
from MCQ.Consts import Consts
# [batch, K, D], int, [batch, K]
| [
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628,
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220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
685,
43501,
11,
509,
11,
36... | 2.017544 | 57 |
import torch
import numpy as np
from functools import partial
def hbbox2rbboxRec_v2(hbboxes):
'''
:param hbboxes: Tensor, (xmin, ymin, xmax, ymax)
:return: rbboxes:Tensor, (x, y, w, h, theta)
'''
if hbboxes is None:
return None
num_hbboxes = hbboxes.size(0)
w = hbboxes[.... | [
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201,
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6738,
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17,
7,
71,
65,
29305,
2599,
201,
198,
220,
220,
220,
705,
... | 1.856359 | 2,186 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from collections import namedtuple
import logging
from ray.rllib.evaluation.sample_batch import MultiAgentBatch
from ray.rllib.utils.annotations import DeveloperAPI
logger = logging.getLogger(__name__)
OffPo... | [
6738,
11593,
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83,
29291,
198,
11748,
18931,
198,
198,
6738,
26842,
13,
81... | 2.394554 | 1,579 |
import wave
import math
soundFileName = input("Input sound file (insert path or name):")
messageFileName = input("Output file (insert path or name):")
sound = wave.open(soundFileName,"rb")
soundFrames = [bytearray(4)]*sound.getnframes()
for i in range(sound.getnframes()):
soundFrames[i] = bytearray(sou... | [
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201,
198,
201,
198,
23661,
8979,
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2128,
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3108,
393,
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198,
20500,
8979,
5376,
796,
5128,
7203,
26410,
2393,
357,
28463,
3108,
393,
1... | 2.553719 | 363 |
from pymusicFP.profileProcessing import *
import pymusicFP.knowledgeBase as kb
| [
6738,
279,
4948,
385,
291,
5837,
13,
13317,
18709,
278,
1330,
1635,
198,
11748,
279,
4948,
385,
291,
5837,
13,
45066,
14881,
355,
47823,
628
] | 3.2 | 25 |
"""
Django settings for example project.
"""
import os
from pathlib import Path
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = Path.cwd()
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = "a_not_so_secret_key"
# SECURITY WARNING: don't run with debug ... | [
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262,
1628,
588,
428,
25,
28686,
13,
6978,
13,
22179,
7,
33,
11159,
62,
34... | 2.064286 | 1,680 |
import csv
num = 0
with open('../datasets/fixed_spam.csv', newline='') as old_spam_csv, open('../datasets/new_spam.csv',
newline='') as new_spam_csv, open(
'../datasets/new_spam_final.csv', 'w', newline='') as new_spam_final_csv:
cs... | [
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269,
21370,
198,
198,
22510,
796,
657,
198,
198,
4480,
1280,
10786,
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19608,
292,
1039,
14,
34021,
62,
2777,
321,
13,
40664,
3256,
649,
1370,
28,
7061,
8,
355,
1468,
62,
2777,
321,
62,
40664,
11,
1280,
10786,
40720,
19608,... | 1.857884 | 964 |
#
# @lc app=leetcode id=21 lang=python3
#
# [21] Merge Two Sorted Lists
#
# @lc code=start
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, val=0, next=None):
# self.val = val
# self.next = next
# @lc code=end
| [
198,
198,
2,
198,
2,
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44601,
598,
28,
293,
316,
8189,
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28,
2481,
42392,
28,
29412,
18,
198,
2,
198,
2,
685,
2481,
60,
39407,
4930,
311,
9741,
44968,
198,
2,
198,
198,
2,
2488,
44601,
2438,
28,
9688,
198,
2,
30396,
329,... | 2.247863 | 117 |
# Copyright 2021 Google LLC
#
# 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 in writing, ... | [
2,
15069,
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11419,
198,
2,
198,
2,
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262,
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13,
15,
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198,
2,
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407,
779,
428,
2393,
2845,
287,
11846,
351,
262,
13789,
13,
198,
2,
921,
743,
733... | 2.678304 | 1,604 |
# -*- coding: utf-8 -*-
import numpy as np
import pandas as pd
from bio_hansel.metadata import read_metadata_table, merge_results_with_metadata
from bio_hansel.utils import df_field_fillna
| [
2,
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12,
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1330,
1100,
62,
38993,
62,
11487,
11,
20121,
... | 2.880597 | 67 |
# -*- coding: utf-8 -*- #
# 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 requir... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
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9,
12,
1303,
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2,
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739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
198... | 2.786374 | 2,598 |
import pandas as pd
import numpy as np
import random
debugging = False
| [
11748,
19798,
292,
355,
279,
67,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
4738,
628,
198,
24442,
2667,
796,
10352,
628,
628,
628,
198
] | 3.16 | 25 |
import socket
if __name__ == '__main__':
main()
| [
11748,
17802,
628,
198,
198,
361,
11593,
3672,
834,
6624,
705,
834,
12417,
834,
10354,
198,
220,
220,
220,
1388,
3419,
198
] | 2.5 | 22 |
import torch
import torch.utils.data as data
import numpy as np
import os
from PIL import Image
import logging
import matplotlib.pyplot as plt
logging.basicConfig(format='%(asctime)s : %(levelname)s - %(message)s',
datefmt='%d/%m/%Y %I:%M:%S %p',
level=logging.INFO)
logger = lo... | [
11748,
28034,
198,
11748,
28034,
13,
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13,
7890,
355,
1366,
198,
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299,
32152,
355,
45941,
198,
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198,
6738,
350,
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7412,
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18931,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
458,
83,
6... | 2.225 | 160 |
# Copyright (c) 2021 Alethea Katherine Flowers.
# Published under the standard MIT License.
# Full text available at: https://opensource.org/licenses/MIT
import pyvisa
from . import config
_resource_manager = None
| [
2,
15069,
357,
66,
8,
33448,
9300,
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64,
32719,
30036,
13,
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2,
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1668,
13,
2398,
14,
677,
4541,
14,
36393,
198,
198,
11748,
12972,
... | 3.590164 | 61 |
import boto3
import numpy
import sklearn
import scipy
s3_client = boto3.client('s3')
def run_mrp_lambda(event, context):
"""
Process a file upload.
"""
# Get the uploaded file's information
bucket = event['Records'][0]['s3']['bucket']['name'] # Will be `my-bucket`
key = event['Records'][0]['... | [
11748,
275,
2069,
18,
198,
198,
11748,
299,
32152,
198,
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82,
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82,
18,
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198,
198,
4299,
1057,
62,
43395,
79,
62,
50033,
... | 2.622047 | 254 |
# -*- coding: utf-8 -*-
"""
Created on Tue Mar 9 12:00:18 2021
@author: vlro
"""
import rasterio
import geopandas as gpd
import rasterio.mask
import numpy as np
import os
import numpy as np
from shapely.geometry import box, Point, shape
def transform_shape_raster(infile):
"""Reads raster AOI bounds and reproj... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
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198,
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319,
30030,
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410,
75,
305,
198,
37811,
198,
198,
11748,
374,
1603,
952,
198,
... | 2.169458 | 2,508 |
# Creates and prints items sold and quantity of each from gmail messages for sold eBay items
import httplib2
import base64
import re
import email.parser
from apiclient.discovery import build
from apiclient import errors
from oauth2client.client import flow_from_clientsecrets
from oauth2client.file import Storage
fr... | [
2,
7921,
274,
290,
20842,
3709,
2702,
290,
12040,
286,
1123,
422,
308,
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489,
571,
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2779,
2414,
198,
11748,
302,
198,
11748,
3053,
13,
48610,
628,
198,
6738,
2471... | 3.103283 | 1,249 |
# Copyright (c) 2021 MIT
#
# Permission to use, copy, modify, and distribute this software for any
# purpose with or without fee is hereby granted, provided that the above
# copyright notice and this permission notice appear in all copies.
#
# THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR(S) DISCLAIM ALL WARRANTIES
... | [
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from datetime import date
from floorist.config import get_config
from os import environ
from sqlalchemy import create_engine
import awswrangler as wr
import boto3
import logging
import pandas as pd
import yaml
| [
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import random
result = ''
message = ''
choice = ''
print(' ')
print(' ______ _ ______ ______ _ _ ______ ______ ______ ______')
print('| ____| | \ || | ____| | __ | | | | | | __ | |__ __| | __ | | __ |')
print('| |____ ||\\ || | | | |__| | | |__| | | |_... | [
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from diet_simple_package.schemas import input_schema, solution_schema
try: # if you don't have gurobipy installed, the code will still load and then fail on solve
import gurobipy as gu
except:
gu = None
# ------------------------ create a solve function --------------------------------
def solve(dat):
"""... | [
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"""
Custom Bert model pretrained on Portuguese.
"""
import os
import shutil
from urllib.parse import urlparse
import requests
from h2oaicore.models import TextBERTModel, CustomModel
from h2oaicore.systemutils import make_experiment_logger, temporary_files_path, atomic_move, loggerinfo
class CustomBertModel(Text... | [
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382... | 2.873035 | 827 |
# -*- coding: utf-8 -*-
"""
Created on Mon May 31 11:20:31 2021
@author: SONG
"""
import numpy as np
import pandas as pd
import tensorflow as tf
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn import metrics
from statsmodels.stats.outl... | [
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from django.urls import path
from django.conf.urls import url, include
from administrador import views
from .views import *
import repartidor
from repartidor import views
app_name = "administrador"
urlpatterns = [
# temporal, no se llamarán así las vistas
path("", index, name="IndexAdministrador"),
# r... | [
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1... | 2.70318 | 283 |
"""Тестирует функцию quick_sort с заданными границами"""
import pytest
from ..sort_func import quick_sort
if __name__ == '__main__':
pytest.main()
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# WEB SCRAPING GFG WEBSITE AND GETTING INFO ABOUT ALL THE
# DP PROBLEMS , CONTENT AND THE COMMENTS
from bs4 import BeautifulSoup
import requests
import csv
source = requests.get('https://www.geeksforgeeks.org/category/dynamic-programming/').text
csv_file = open('dp.csv','w')
csv_writer = csv.writer(csv_file)
csv_wri... | [
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# -*- coding: utf-8 -*-
"""
@file person.py
@author Jakob Erdmann
@date 2015-02-06
@version $Id$
Python implementation of the TraCI interface.
SUMO, Simulation of Urban MObility; see http://sumo.dlr.de/
Copyright (C) 2011-2017 DLR (http://www.dlr.de/) and contributors
This file is part of SUMO.
SUMO is free s... | [
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from flask_sqlalchemy import SQLAlchemy
from flask.testing import FlaskClient
import json
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#!/usr/bin/env python
""" Aggregates features per partner, for further retrieval from HDFS. """
import argparse
import datetime
import glob
import os
import sys
import shutil
import time
import numpy as np
import multiprocessing
from shutil import copyfileobj
from pid import PidFile
#import bz2
import gzip
import mat... | [
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from celery_tasks.main import celery_app
from celery_tasks.sms.yuntongxun.ccp_sms import CCP
import logging
from . import constants
logger = logging.getLogger("django")
# bind：保证task对象会作为第一个参数自动传入
# name：异步任务别名
# retry_backoff：异常自动重试的时间间隔 第n次(retry_backoff×2^(n-1))s
# max_retries：异常自动重试次数的上限
@celery_app.task(bind=Tru... | [
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#!/usr/bin/env python
from __future__ import print_function
__author__ = 'joon'
import sys
sys.path.insert(0, 'src')
from imports.basic_modules import *
from imports.ResearchTools import *
if __name__ == "__main__":
main()
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... | 2.835294 | 85 |
# I mapped the outcome variables as follows to get a better understanding of which all target variables got misclassified
y = y.map({'Still Birth' : 0, 'Abortion' : 1, 'Live Birth': 2, 'Infant Death' : 3, 'Miscarriage' : 4})
#Now lets take a look at the no. of instances of each class present in the entire dataset:
#N... | [
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import datetime as _datetime
import importlib as _importlib
import inspect as _inspect
import json as _json
import os as _os
import sys as _sys
import six as _six
from google.protobuf import json_format as _json_format
from google.protobuf import text_format as _text_format
from flytekit import __version__
from flyte... | [
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from functions import html_parse_tree, xpath_parse, regex_strip_array, array2csv
import numpy as np
import csv
weeks_url = "http://www.atpworldtour.com/en/rankings/singles"
weeks_tree = html_parse_tree(weeks_url)
weeks_xpath = "//ul[@data-value = 'rankDate']/li/@data-value"
weeks_parsed = xpath_parse(weeks_tree, weeks... | [
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import dateutil.parser
import pytz
import random
from datetime import datetime, timedelta
from gitlab_attendant.api_calls import (
add_note_to_issue,
add_note_to_merge_request,
assign_issue,
assign_user_to_merge_request,
delete_merged_branches,
get_all_open_merge_requests,
get_all_project_... | [
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# coding=utf-8
# Copyright 2017 The Tensor2Tensor Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | [
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2... | 3.566802 | 247 |
import cv2
import itertools
import numpy as np
import pathlib
| [
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from typing import Tuple, List
| [
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import argparse
import torch
import torch.nn as nn
from simplecv.module.model_builder import make_model
from simplecv.data.data_loader import make_dataloader
from simplecv.opt.optimizer import make_optimizer
from simplecv.opt.learning_rate import make_learningrate
from simplecv.util import config
from simplecv.core imp... | [
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import csv
import json
# Reading a CSV file:
#
#with open("res/fileName.csv") as f:
# reader = csv.DictReader(f)
# data = [row for row in reader]
# Writing to a JSON file:
#
#with open("res/fileName.json", "w") as f:
# outdata = json.dumps(data, indent=2)
# f.write(outdata)
with open("res/fa2014copy.csv... | [
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33634... | 2.241558 | 1,540 |
import itertools
import sys
from simple_tree import Node
# This class specifies a "decision tree" through «inheritance» from the
# "Node" class, re-implementing some of the "Node" properties to
# change its behaviour.
class DecisionNode(Node):
"""
Ref: https://en.wikipedia.org/wiki/Decision_tree
"""
... | [
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... | 2.582451 | 661 |
import typing
def join(models: typing.Sequence[Model]) -> Model:
"""
Join all models into one
:param models:
:return:
"""
pass
def code(obj, target, format):
"""
Generate code for specific target
:param obj:
:param target:
:param format:
:return:
"... | [
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... | 2.605809 | 241 |
from django.urls import path
from weather.apps.api.climate.viewsets import weather_home, city_weather
from weather.apps.api.climate.chart import WeatherChartView
app_name = 'city_weather'
urlpatterns = [
path('', ... | [
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__author__ = 'zhouguangfu'
# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
from PyQt4.QtCore import *
from PyQt4.QtGui import *
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as Figur... | [
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#!/usr/bin/env python
#==============================================================================
# author : Pavel Polishchuk
# date : 08-06-2017
# version : 0.1
# python_version : 3.2
# copyright : Pavel Polishchuk 2017
# license : GPL3
#==================================... | [
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105... | 3.215827 | 139 |
# -*- coding: utf-8 -*-
import torch
import torch.nn as nn
from torch.nn.utils.rnn import pack_padded_sequence
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from flask import Flask, render_template
import platform
app = Flask(__name__)
@app.route('/')
if __name__ == "__main__":
app.run(host="0.0.0.0")
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1... | 2.540984 | 61 |
# Copyright (c) 2017, The MITRE Corporation. All rights reserved.
# See LICENSE.txt for complete terms.
import unittest
from mixbox.vendor.six import BytesIO, text_type
from stix.threat_actor import ThreatActor
import stix.extensions.identity.ciq_identity_3_0 as ciq
from stix.test import EntityTestCase
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... | 3.031008 | 129 |
"""The AMS HAN meter integration."""
from __future__ import annotations
import asyncio
from dataclasses import dataclass
import datetime as dt
from enum import Enum
import logging
from typing import Callable, Mapping, cast
from han import common as han_type, meter_connection, obis_map
from homeassistant import const ... | [
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338... | 2.363585 | 3,526 |
import datetime
from django.conf import settings
from django.contrib.auth import get_user_model
from django.core.management.base import BaseCommand
from dataworkspace.apps.core.utils import (
db_role_schema_suffix_for_user,
new_private_database_credentials,
postgres_user,
source_tables_for_user,
w... | [
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... | 2.76378 | 127 |
from unittest import TestCase
from leaguepedia_parser.leaguepedia_parser import LeaguepediaParser
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# Generated by Django 3.0.8 on 2020-08-29 14:04
from django.db import migrations, models
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import os
import pytest
from manorm.exceptions import FileFormatError, FormatModeConflictError
from manorm.read import load_reads
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#!/usr/bin/env python3
#-------------------------------------------------------------------+
#
# Advent of Code - Day 1 - Part 1
#
#-------------------------------------------------------------------+
#-------------------------------------------------------------------+
# dependencies
#-------------------------------... | [
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... | 5.080214 | 187 |
__author__ = 'alessandror'
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] | 2.454545 | 11 |
#
# Copyright (c) 2021 Airbyte, Inc., all rights reserved.
#
import re
from unittest.mock import MagicMock
import pytest
from source_flexport.source import SourceFlexport
from source_flexport.streams import FlexportStream
@pytest.mark.parametrize(
("status_code", "response", "expected"),
[
(200, {},... | [
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... | 2.696335 | 191 |
import shutil
import os
from pdr_python_sdk.tools.create import create_pandora_app
from pdr_python_sdk.tools.create import TEMP_SDK_DIR
| [
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394... | 2.795918 | 49 |
import torch.nn as nn
| [
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] | 2.75 | 8 |
from scapy.packet import Raw
import numpy.random as random2
import random
import string
from numpy.random import bytes
from random import getrandbits
from scapy.layers.inet import IP, Ether, UDP, TCP
from scapy.packet import Raw
from ID2TLib.Botnet.Message import MessageType
from . import IPv4 as ip
###############... | [
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... | 2.560886 | 4,336 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# This file is part of visvalingamwyatt.
# https://github.com/fitnr/visvalingamwyatt
# Licensed under the MIT license:
# http://www.opensource.org/licenses/MIT-license
# Copyright (c) 2015, fitnr <contact@fakeisthenewreal.org>
from setuptools import setup
try:
readm... | [
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11... | 2.411189 | 715 |