index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
995,600 | 5d8a43f74f469b3960819c91e4706406b7dfc94d | from google.auth import credentials
from google.auth import environment_vars
from google.cloud import storage
import logging
import os
import yum
import yum.config
import yum.Errors
import yum.plugins
from yum.yumRepo import YumRepository
URL_SCHEME = 'gs://'
__all__ = ['requires_api_version', 'plugin_type', 'COND... |
995,601 | 2a2a958a917453f5f6827febeebf6106303a8577 | #!/usr/bin/python
import json
from subprocess import call
dirs = json.loads('<%= node["mirror"]["directories"].to_json %>')
for _from in dirs.keys():
full_from = "<%= node['mirror']['from'] %>/" + _from
call(["rsync", "-avz", "--delete", full_from, "<%= node['mirror']['to'] %>"])
|
995,602 | 7a48b1427da5469940ee7ad8148d984c13edf690 | # -*- coding: utf-8 -*-
a = float(input())
b = float(input())
print("MEDIA = %.5f" % float(((a*3.5)+(b*7.5))/11))
|
995,603 | 30edc9fa27f58f7962d3c35726ae80d2e5af0343 | #!/usr/bin/env python
# 5000 IRC Bot - Developed by acidvegas in Python (https://acid.vegas/trollbots)
'''
Requirements
* Python (https://www.python.org/downloads/)
Note: This script was developed to be used with the latest version of Python.
Information:
This bot requires network operator privledges in order to u... |
995,604 | c0db339bd7bfa1b873c603d9f6d9395e88be645a |
def vect_gender(data:str):
col_options = {"Male": 0, "Female": 1, "Other": 2}
if(data in col_options.keys()):
return col_options[data]
# else:
# return 3
def vect_relevent_experience(data:str):
col_options = {"No relevent experience": 0, "Has relevent experience": 1}
return co... |
995,605 | c2627a1e9960b4ad3e4928406614c6c74ae6a150 | from bpy.types import Panel
from . import props
class MeshConstraintsPanelBase(Panel):
bl_space_type = "VIEW_3D"
bl_region_type = "UI"
bl_category = "Constraints"
class MeshConstraintsPanelMain(MeshConstraintsPanelBase):
bl_label = "Mesh Constraints"
bl_idname = "MESH_CONSTRAINTS_PT_MAIN"
... |
995,606 | cb8631eeb1728b90ccb406700f344800a433ed4d | # Generated by Django 3.1.4 on 2021-01-23 18:35
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('web', '0002_auto_20201230_2138'),
]
operations = [
migrations.RenameField(
model_name='contact',
old_name='firstname... |
995,607 | 9fc65052e5506be5a6da8dcb26f10a20ed46c07c | import copy
import json
import os
import time
import urllib.request
from typing import Any, Dict, List, Tuple, Union
import numpy as np
from scipy.optimize import linprog
global penguin_url, headers
penguin_url = "https://penguin-stats.io/PenguinStats/api/"
headers = {"User-Agent": "ArkPlanner"}
gamedata_langs = ["e... |
995,608 | 6cacec9e724cbaebe90e8664ea36c16d595b20f0 | #second python
print("this is my second python")
|
995,609 | 769910e9b4f83fcd096faecd6c534b324907bcbd | # Given a string, your task is to count how many palindromic substrings in this
# string.
#
# The substrings with different start indexes or end indexes are counted as
# different substrings even they consist of same characters.
#
# Example 1:
#
# Input: "abc"
# Output: 3
# Explanation: Three palindromic strings: "a"... |
995,610 | 556899cd3e358f6d93caed2b02fb7fc57be521f8 | from pyston.utils import LOOKUP_SEP
from pyston.filters.filters import Filter
from pyston.filters.utils import OperatorSlug
from pyston.filters.exceptions import OperatorFilterError
from pyston.filters.managers import BaseParserModelFilterManager
class BaseDynamoFilter(Filter):
allowed_operators = None
def ... |
995,611 | 75373f24ca4bc660608670622408f97d1c5a8d7c | num = int(input('enter num: '))
if num < 10 and num >=0:
print ('mardod')
elif num >=10 and num <=20:
print ('gabol')
elif num >20:
print ('mare than 20!')
else:
print ('error!')
|
995,612 | 38218037ffa1d68a9b7cd97a697cd1193ff466d5 | import sys
from queue import PriorityQueue
from peers import PeersHandler
from torrent_client import TorrentClient
def download_torrent(torrent_file_path):
s_memory = PriorityQueue()
peer_handler = PeersHandler(torrent_file_path)
torrent_client = TorrentClient(1, "Main_Torrent_Process", peer_handler, s_m... |
995,613 | 5c318d679bac6044a80c9ad7766b35354080299a | # -*- coding: utf-8 -*-
from django.conf import settings
from djmail import template_mail
import premailer
import logging
# Hide CSS warnings messages if debug mode is disable
if not getattr(settings, "DEBUG", False):
premailer.premailer.cssutils.log.setLevel(logging.CRITICAL)
class InlineCSSTemplateMail(tem... |
995,614 | cb1900d0a0fce23dce50e47ee92e449f9b51a115 | def is_leap_year(inYear):
'''
Takes any year and reports if given year is a leap year.
Leap years are on every year that is evenly divisible by 4
except every year that is evenly divisible by 100
unless the year is also evenly divisible by 400
'''
if not inYear % 400:
return True
elif not inYear %... |
995,615 | 1a29a9ce42eade39909ba0611eb5dac2d49d2ae7 | #!/usr/bin/python
'''
Priority queue with random access updates
-----------------------------------------
.. autoclass:: PrioQueue
:members:
:special-members:
'''
#-----------------------------------------------------------------------------
class PrioQueue:
'''
Priority queue that supports updating pr... |
995,616 | 3821a62403b56de5abac6e3dcf94a35de8d78672 | """Unit tests for database.py."""
# standard library
from pathlib import Path
import unittest
from unittest.mock import MagicMock
from unittest.mock import sentinel
# first party
from delphi.epidata.acquisition.covid_hosp.test_utils import TestUtils
# py3tester coverage target
__test_target__ = 'delphi.epidata.acqui... |
995,617 | acb042bfe9a1bc9617611b32794c00c71efafeff | import datetime
import logging
from calendar import timegm
from importlib import import_module
from django.conf import settings
from django.contrib.auth import SESSION_KEY, get_user_model
from django.utils import timezone
from jose import jwk, jwt
from jose.jwt import JWTClaimsError, JWTError
from social_core.exceptio... |
995,618 | 31ecee0ce439fa7e49910c48a47227b9939be79d | import unittest
import os, signal, subprocess
from detection_engine_modules.Sniffer import Sniffer
#
# Sniffer module testing file.
#
# Black box testing
class bb_SnifferTest(unittest.TestCase):
def test_init__no_arg(self):
'''
Testing the module's constructor.
Input - no argument.
... |
995,619 | 4e9773e133a58362a941b90222b74c3961157d28 | from django.urls import path
from rest_framework.urlpatterns import format_suffix_patterns
from fxaccount import views
urlpatterns = [
path('<int:user>', views.FxAccountView),
path('<int:user>/<int:pk>', views.AlterFxAccount),
path('transfer', views.FxAccountTransferViews.as_view()),
path('deposit/<i... |
995,620 | 3dc98b0fc0f0cc9d410630439ccb4976ea7e4b86 | """JSON implementations of logging records."""
# pylint: disable=no-init
# Numerous classes don't require __init__.
# pylint: disable=too-many-public-methods,too-few-public-methods
# Number of methods are defined in specification
# pylint: disable=protected-access
# Access to protected methods allowed in p... |
995,621 | 7aff203e7c847072bba376fc5271dc9e88d3b253 | # -*- coding: utf-8 -*-
S1 = 72
S2 = 85
r = 100*(S2-S1)/S1
#print('小明的成绩提高了r%')
print('xiao ming score increased by %0.2f %%' % r) # %0.2f相当于保留小树点后面两位。为什么要两个%,%%相当于转义 等同于1个%
#%%相当于转义 相当以一个% |
995,622 | bffb5b2ec43fe0dda7a7121250061023acb31905 | #!/usr/bin/python
# -*- encoding: utf-8 -*-
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.cuda.amp as amp
import soft_dice_cpp # should import torch before import this
## Soft Dice Loss for binary segmentation
##
# v1: pytorch autograd
class SoftDiceLossV1(nn.Module):
'''
s... |
995,623 | 775eae291094d30ecba65c31633c957a700dab01 | #!/usr/bin/python
import boto3
import time
client = boto3.client('cloudformation', region_name='us-east-1')
#functions
def status(stack):
while True:
stackStatus = client.describe_stacks(StackName=stack)
status=(stackStatus['Stacks'][0]['StackStatus'])
print "{}'s current status is {}.".fo... |
995,624 | 11c9596845cdb43fca7d9d0cc874521a2d7e3c89 | import pandas as pd
import matplotlib.pyplot as plt
#
# TODO: Load up the Seeds Dataset into a Dataframe
# It's located at 'Datasets/wheat.data'
#
# .. your code here ..
data = pd.read_csv('Datasets/wheat.data')
#
# TODO: Drop the 'id' feature
#
# .. your code here ..
data.drop('id',1,inplace=True)
#
# TODO: Co... |
995,625 | 48699e3ded5ce9474b9f3b3a1c8b723065ab3390 | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
from BeautifulSoup import BeautifulSoup, NavigableString, Tag
from urllib2 import urlopen
from datetime import date
import re
URL = "http://laco.se/lunch/"
def get_daily_specials(day=None):
page = urlopen(URL)
soup = BeautifulSoup(page)
page.close()
daily_specials... |
995,626 | 70b9109ef259d0df97598c1be75eb5285d0a0c33 | import markovify
from flask import Flask, render_template, request, redirect
from flask import jsonify, abort
from flask_sqlalchemy import SQLAlchemy
from flask_wtf import FlaskForm, CSRFProtect
from wtforms import TextAreaField, validators
PATH_TO_DB = "./sqlite.db"
app = Flask(__name__)
app.secret_key = 'qwerty'
... |
995,627 | 96aee793701aee8f224905db86f2f977ad1af5c0 | import cv2
import numpy as np
import json
red_img1 = []
blue_img1 = []
white_img1 = []
gray_img1 = []
yellow_img1 = []
red_fig1 = []
blue_fig1 = []
white_fig1 = []
gray_fig1 = []
yellow_fig1 = []
red_waga = []
blue_waga = []
white_waga = []
gray_waga = []
yellow_waga = []
roi = []
path_js... |
995,628 | 6ed8e9edff29cb2177d7721361ee6ea92c630c40 | from datetime import datetime, timedelta
from flask import Flask, request, redirect
from flask.helpers import make_response, url_for
from flask_sqlalchemy import SQLAlchemy
import jwt
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = ''
app.config['SECRET_KEY'] = 'flasksecretkey'
db = SQLAlchemy(a... |
995,629 | af9e4838d4b29a4f30de6630262e15304f014c0c | #!/usr/bin/env python
import os
import subprocess
import sys
import optparse
import gzip
import shutil
try:
import hashlib # New for python 2.5
sha = hashlib.sha1
except:
import sha
sha = sha.sha
CMDS = ['cat','q','partition','import','print']
TYPES = ['s3','fb','tsv.gz', 'cz']
delim = "\t"
def s3conne... |
995,630 | bdf7a6aca1a12d98f8050f477e3a3565fafa1831 |
def foo2():
x=100
print "Local:" ,locals()
print x
if __name__ == '__main__':
print "this is the main program"
foo2()
#to import a function you must call the file from the correct directory then call the specific function |
995,631 | e7e23f45eb6d53050273d4c0f66c5f3820b2745a | import pytest
from flask import url_for
from app import create_app, mail
from app.models import db, User, Store, Product
@pytest.fixture
def app():
return create_app('test')
@pytest.fixture
def init_database():
db.create_all()
yield
db.drop_all()
@pytest.fixture
def authenticated_request(client):... |
995,632 | ca50b26b3fd05b82f8ac27876129bf846784a0d0 | # -*- coding: utf-8 -*-
# Author: WangZi
# Mail: wangzitju@163.com
# Created Time:
###########################
# template method
# processing framework is defined in father class
# while concrete prcessing method is implemented in child class
from abc import ABCMeta, abstractmethod
class AbstractDisplay(metaclass=ABC... |
995,633 | 00f2df37799d68cddc29ec7f086f2bf13c71bc05 | from collections import defaultdict
dwarfs = {}
dwarf_name_hat_color_count = defaultdict(int)
while True:
tokens = input()
if tokens == "Once upon a time":
break
tokens = tokens.split(" <:> ")
dwarf_name, dwarf_hat_color, dwarf_physics = tokens[0], tokens[1], int(tokens[2])
key = dwarf_nam... |
995,634 | f9988acc80e8c3f89b44e88509f20f97b807e0f6 | import math
import euler
from sets import Set
squares = {}
matches = {}
for i in range(1000):
squares[i*i] = i
for p in range(3, 1001):
print p
matchCount = []
for a in range(1, 998):
if a >= p-2:
break
for b in range(1, 998):
if a+b >= p-1:
break
c = a*a + b*b
if c not in squares:
... |
995,635 | b66ff58928d75dbe792dcdf08223c57ca8d96931 | import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Output, Event
from textblob import TextBlob
from collections import deque
import plotly.graph_objs as go
neg_polarity = []
neg_subjectivity = []
with open('negative.txt','r') as n:
negative_file = n.read(... |
995,636 | 8961d02da6d859b4b421fa698370f5b63162734f | # Generated by Django 2.0.6 on 2018-12-02 19:33
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('User', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='supplier',
name='phone',
field... |
995,637 | 1ad625ba98fb789ba96022d85d8691491a9d69a2 | #!/bin/python3
import sys
import itertools
n = int(input().strip())
a = [int(a_temp) for a_temp in input().strip().split(' ')]
count = 0
pairs = list(itertools.product(a, a))
for pair in pairs:
if abs(pair[0] - pair[1]) > 1:
pairs.remove(pair)
print(pairs) |
995,638 | 403e038af3e898a8342303e75c6af9d53a13be24 | class BinaryTree(object):
def __init__(self, value):
self.value = value
self.leftChild = None
self.rightChild = None
def insertLeft(self, newData):
if self.leftChild is None:
self.leftChild = BinaryTree(newData)
else:
t = BinaryTree(newData)
... |
995,639 | ca2c0c9b90c828540dfcf9c04dcc5eeaed506a72 | s=input()
k=int(input())
n=len(s)
num=[0]*n
for i in range(n):
if s[i]!="a":
num[i]=123-ord(s[i])
if sum(num)>=k:
ans=""
for i in range(n-1):
if k>=num[i]:
k-=num[i]
ans+="a"
else:
ans+=s[i]
if k>=num[-1]:
ans+="a"
else:
ans... |
995,640 | db5698eb1adacbf0e5b9fae34f1e52b443fc32a9 | #!/usr/bin/env python
import roslib
roslib.load_manifest('cram_ptu')
import rospy
import actionlib
import tf
import cogman_msgs.msg
class TFRelayAction(object):
# create messages that are used to publish result
_result = cogman_msgs.msg.TFRelayResult()
def __init__(self, name):
self._action_name = name
... |
995,641 | 728772e9bdf0c5d16c402a8810f61b0bcd8dbefe | #!/bin/python3
import sys #system functions and parameters
from datetime import datetime as dt #import with alias
print(dt.now())
my_name = "Arjun"
print(my_name[0])
print(my_name[-1])
sentence = "This is a sentence."
print(sentence[:4])
print(sentence.split())
sentence_split = sentence.split()
sentence_join = '... |
995,642 | 139d00ea298d8a1ae0aa000399d0b43724df6a08 | import abc
import typing
import torch
import brats.functional as F
ONE_CLASS = 1
CLASS_DIM = 1
class Loss(abc.ABC):
"""
Interface for loss
"""
@abc.abstractmethod
def __call__(self, prediction: torch.Tensor,
target: torch.Tensor) -> torch.Tensor:
raise NotImplementedEr... |
995,643 | c362caacf0df78ad95783f500f6a85bbc4640bb4 | # Copyright 2021 Curtin University
#
# 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 writi... |
995,644 | 5d90ee051de923ad1e68e189ac7be34069371cae | ###########################################
# Project: CMSIS DSP Library
# Title: FileSource.py
# Description: Node for creating file source
#
# $Date: 30 July 2021
# $Revision: V1.10.0
#
# Target Processor: Cortex-M and Cortex-A cores
# ---------------------------------------------------------... |
995,645 | 473c1869e981500c2ddba49732ffbb825153bba8 | # Generated by Django 2.0.5 on 2018-06-25 02:05
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('Paciente', '0002_paciente_user'),
('Laboratorio', '0004_auto_20180624_1449'),
]
operations = [
migr... |
995,646 | 1e9de2936ccf0b88753e155361f0886e7ad65176 | import pytest
@pytest.yield_fixture()
def setup():
print("this url is opened")
yield
print("Browser is closed")
def test_Signupbyemail(setup):
print("This is simple Sign Up email function to test")
def test_signupbyfacebook(setup):
print("This is simple Sign Up facebook function to test")
|
995,647 | 5d8c6856f061f8469941615ad748801277a36a97 | #!/usr/bin/env python
from analyze_logs import LogAnalyzer
analyzer = LogAnalyzer()
# 1. What are the most popular three articles of all time?
r = analyzer.most_popular_articles()
assert(r[0][1] == 338647)
# 2. Who are the most popular article authors of all time?
r = analyzer.most_popular_authors()
assert(r[0][1] ... |
995,648 | 9a41d71bf77b249077829fa9d2d8f64ba6a062fa | from django.contrib import admin
from .models import GalleryModel
admin.site.register(GalleryModel)
|
995,649 | 6e463cf73c3d8a4b7ff54b2ed71326267c5377b7 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Jul 25 14:52:15 2020
@author: cxue2
"""
from datetime import datetime
import numpy as np
from sklearn.metrics import confusion_matrix
from sklearn.metrics import roc_auc_score, roc_curve, auc
from sklearn.metrics import precision_recall_curve, average_p... |
995,650 | 40f728d674d83e396b25cc06c08f6f8a5f6e0892 | # PYTHON2 file to be run on the Pi Zero
import RPi.GPIO as r
from time import sleep
from math import cos, radians
r.setmode(r.BOARD)
pins = [11, 12, 13, 15, 16, 18,
22, 7, 3, 5, 24, 26,
19, 21, 23, 8, 10]
r.setup(pins[0], r.OUT)
pwm = r.PWM(pins[0], 50)
i = 0
while True:
pwm.start(50 * (1 -... |
995,651 | d9d0c1a7ce6e26342a9e7becc7c75792fbe16940 | __source__ = 'https://leetcode.com/problems/unique-email-addresses/'
# Time: O()
# Space: O()
#
# Description: Leetcode # 929. Unique Email Addresses
#
# Every email consists of a local name and a domain name, separated by the @ sign.
#
# For example, in alice@leetcode.com, alice is the local name, and leetcode.com is... |
995,652 | 0ff4bbb05fa13b9e8f7911f4ae71e4d1af7e22a6 | # Create by CodeMeow
# -*- coding:utf-8 -*-
import urllib2
import logging
import logging.handlers
import sys, os, re
reload(sys)
sys.setdefaultencoding('utf8')
WEATHER_URI = 'http://vehiclenet-python-0-codemeow.myalauda.cn/carlink/weather/findWeather.htm?city=%s'
def fetch_weather(city_name):
logger = logg... |
995,653 | 63aecb1297120a78f0b5ebde5642f4e74ffa055a | import os
import sys
sys.path.append(os.path.abspath(os.path.dirname(__file__) + '/../..'))
import unittest
from tests.cases.google_test_case import GoogleTestCaseSimple
class TestSuite1(unittest.TestCase):
def test_main(self):
# suite of TestCases
self.suite = unittest.TestSuite()
self.... |
995,654 | 7a92a6b22c31be1a14f6f2da5143e757fb0c8ebe | from mock_api.response_rules import response_rules_provider
class ResponseResolver(object):
rules_provider = response_rules_provider
def __init__(self, api_endpoint, response_rule_provider=None):
self.api_endpoint = api_endpoint
if response_rule_provider:
self.rules_provider = res... |
995,655 | bde478969734138ba60464de702a1538cba2c946 | # class Test:
# def __init__(self):
# print("This is in __init__")
# pass
# def __call__(self, func):
# print("This is in __call__")
# def inter(a, b):
# print("This is in inter")
# ret = func(a, b)
# return a + b - ret
# ... |
995,656 | fbafc641bf18a43595f7177625059eb317272506 | import math
x, y, n_devices = map(int, input().split())
devices = []
for _ in range(n_devices):
devices.append(tuple(map(int, input().split())))
close_devices = sorted(devices, key=lambda dev:math.sqrt((x-dev[0])**2 + (y-dev[1])**2)-dev[2])
dev = close_devices[2]
dist = math.sqrt((x - dev[0]) ** 2 + (y - dev[1]) *... |
995,657 | c590b59aa142fa4e412c08cb6b25b0a7d94f9b35 | from Queue import Queue
class IterableQueue(Queue):
_sentinel = object()
def __iter__(self):
return self
def close(self):
self.put(self._sentinel)
def next(self):
item = self.get()
if item is self._sentinel:
raise StopIteration
else:
... |
995,658 | 118055756466c23917ade71f27e35933122d827b | import math
import random
LEVELS = ['user', 'easy', 'medium', 'hard']
class TicTacToe:
def __init__(self):
self.board = self.make_board()
self.current_winner = None
@staticmethod
def make_board():
return ['_'] * 9
def print_board(self):
print('---------')
for... |
995,659 | 0a4e959da401c83fd86ca2302732de272218be69 | a, b = list(map(int, input().split()))
seki = a*b
seki = seki % 2
if seki == 0:
print("Even")
else:
print("Odd") |
995,660 | f18e3baf5757219110b9e64e4bd180921782a7a7 | import numpy as np
import tensorflow as tf
from config import PREDICT_THRESHOLD
IOU_METRIC_THRESHOLDS = list(np.arange(0.5, 1, 0.05))
def _seg_iou(seg1, seg2):
batch_size = seg1.shape[0]
metrics = []
for idx in range(batch_size):
ans1 = seg1[idx] > 0
ans2 = seg2[idx] > 0
inters... |
995,661 | 2f97593d020e0e931c4072607fac5a384e24c982 | from geopy.geocoders import Nominatim #Used for grabbing geocode info from open street maps
from geopy.exc import GeocoderTimedOut
import time
import datetime
def do_geocode(street, city, state, unit_number=''):
street = street.title().strip()
city = city.title().strip()
state = state.upper().strip()
address = '"... |
995,662 | d42ae44baf1a3415d04522ba209c27dd54944407 | from django.shortcuts import render, redirect
from student.models import StudentCourses, Student
from course.models import Catalog, Prerequisites
from authentication.models import UserType
from registrar.models import Constraints
from django.contrib import messages
from history.models import StudentCourseHistory
impor... |
995,663 | 323f7018608aa58238bab93ea33bbdada7728159 | class SwordMeta(type):
"""docstring for ClassName"""
def __instancecheck__(cls, instance):
return cls.__subclasscheck__(type(instance))
def __subclasscheck__(cls, sub):
return (hasattr(sub, 'swipe') and callable(sub.swipe) and hasattr(sub, 'sharpen') and callable(sub.sharpen))
class Sword(metaclass = SwordM... |
995,664 | e86a0c1b25a706ec04447bf940f69533144d5072 | # -*- coding: utf-8 -*-
import os
import urllib2
import unittest
import simplejson as json
import polls
from codecs import open
TEST_WIKIPEDIA_PAGE = 'tests/resources/full.html'
LATEST_TEMP_FILE = "tests/latest_temp.json"
__author__ = 'Simao Mata'
class TestPolls(unittest.TestCase):
def setUp(self):
sel... |
995,665 | a19c87c68344794f7434119fd1372e22034a5d6c |
from bs4 import BeautifulSoup
import requests
import re
import random
base_url = 'https://baike.baidu.com'
his=['/item/%E7%BD%91%E7%BB%9C%E7%88%AC%E8%99%AB']
url = base_url + his[-1]
html = requests.get(url).text
soup=BeautifulSoup(html,'lxml')
# print(soup.find('h1').get_text(),' url:',his[-1])
print(html) |
995,666 | ef6340aad9699af5fea2451df95bfbf78c9adfef | # -*- coding: utf-8 -*-
import re
import unittest
from aliyunsdkrds.request.v20140815.DescribeSlowLogRecordsRequest import DescribeSlowLogRecordsRequest
from ali_rds import AliRds
class AliRdsTestCase(unittest.TestCase):
def setUp(self):
#print("init")
pass
def tearDown(self):
#print("... |
995,667 | 020116b00caa294c52f0ae0931c46f384daf9d05 | #detecting hands with mediapipe
#using google's pre-made ML algos in mediapipe
import cv2
import mediapipe as mp
img = cv2.imread("hands.jfif",-1)
mpHands = mp.solutions.hands
hands = mpHands.Hands()
drawTools = mp.solutions.drawing_utils
imgRGB = cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
results = hands.process(imgRGB)
f... |
995,668 | 7653ac525960586985fc2345d8e966c83c722547 | from pynta.apps import PyntaApp
from pynta.apps.decorators import require_method
from pynta.core.paginator import Paginator
from pynta.storage.base import Anydbm
class CRUDApp(PyntaApp):
"""
Provide full CRUD (Create, Read, Update, Delete) interface for any data set
via five actions: `_create`, `_list`, `... |
995,669 | 7258e1fc714b6d1fccbaf2ef91bf08b96dd32cc1 | import socket
def client():
s = socket.socket()
HOST="127.0.0.1"
PORT=6666
s.connect((HOST,PORT))
s.send(b'hello word')
msg = s.recv(1024)
print("form server %s " % msg)
if __name__=='__main__':
client()
|
995,670 | 12af87a2756d8f86cb688eaa0617114e3b7b5b92 | from flask import abort
from flask import Blueprint
from flask import flash
from flask import redirect
from flask import render_template
from flask import request
from flask import Response
from flask import session
from flask import url_for
from flask_login import current_user
from pingpong.decorators.LoginRequired im... |
995,671 | 3243d512dfd11d5667a64ab1473c1dc4d476548f | /usr/share/pyshared/openerp/addons/document/document.py |
995,672 | ed614ecdd646f3b58916ba648c93d27d7f2f3e05 | # Generated by Django 3.1.4 on 2020-12-28 05:04
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='objetivos',
fields=[
... |
995,673 | 8e3a3245eb53935b2ac1edf402a6fd0c933c6cf8 | import numpy as np
from tabulate import tabulate
def iteration(alpha, beta, x, eps):
k=1
err = eps + 1
while err > eps and k < 500:
err = np.linalg.norm(np.dot(alpha, x) + beta - x)
x = np.dot(alpha, x) + beta
k += 1
x = np.dot(alpha, x) + beta
return x, k
def zeidel(A,... |
995,674 | bb874ec373c77789bbda7c76ed5c9f237084d0a7 |
class Protocol:
def __init__(self):
pass
def decodeMessage(self,*args,**kwargs):
pass
def encodeMessage(self,*args,**kwargs):
pass |
995,675 | 7e09be1aa3185300cdcace9302d1910b17e370d4 | print “https://dataplatform.cloud.ibm.com/analytics/notebooks/v2/b98b218f-4492-4a29-842a-6eddc479001b/view?access_token=a68970d0e2205f734085612c6998864010927d9f79f6a8867b8d6aad5a266b10"
|
995,676 | fbeb50f795133a4fcc20f51215a3614a79ef1736 | # -*- coding: utf-8 -*-
from django.core.serializers import serialize
from django.db import models
from django.conf import settings
import json
from django.core.serializers.json import DjangoJSONEncoder
# Create your models here.
def upload_file(instance,filename):
return "persons/{user}/{filename}".format(user=in... |
995,677 | 03d876ed6018f9b83e2fd065ed871c804dbf65ff | import torch.nn as nn
import torch.nn.functional as F
from layers import GraphConvolution, InnerProductDecoder
import torch
class CONN(nn.Module):
def __init__(self, nfeat, nnode, nattri, nlayer, dropout, drop, hid1=512, hid2=128, act='relu'):
super(CONN, self).__init__()
self.latent_dim = nfeat
... |
995,678 | 79351e1edf1c5cbff2addef6a7e1cf0a187ce63e | # %%
import math
def calcular(t):
exponente = math.exp(-t)
seno = math.sin(math.pi*t)
total = exponente*seno
print("EXPONENTE: ",exponente)
print("g(t): ", total)
return
calcular(0)
calcular(1)
'''EXPONENTE: 1.0
g(t): 0.0
EXPONENTE: 0.36787944117144233
g(t): 4.505223801027239e-17'''
#%%... |
995,679 | 3a1439ed4d74d6a5ed1b7f84ce99cc8dd0249444 | """
This file builds the figures which demonstrate the training of a Gaussian process.
"""
figwidth = 6 # 2.5
figheight = 6/1.616
import matplotlib.pyplot as plt
import matplotlib.cm as cmap
cm = cmap.inferno
plt.style.use("../thesis-style.mpl")
import numpy as np
import scipy as sp
import theano
import theano.tens... |
995,680 | 468761c107bcb50f86fbb1b64c8296be8793d72c | from pylab import plot, show, bar
y = [1,3,6,9,11,21,5,8,3]
plot(y)
show()
|
995,681 | 2145e06dae22b911877e394cf3f8193c042862a1 | """
假设
我需要一个函数，接收2个参数，分别为方向(direc棋盘大小为50*50，左上角为坐标系原点(0,0)，我需要一个函数，接收2个参数，分别为方向(direction)，步长(step)，
该函数控制棋子的运动。棋子运动的新的坐标除了依赖于方向和步长以外，
当然还要根据原来所处的坐标点，
用闭包就可以保持住这个棋子原来所处的坐标。
"""
#
# 系统已经没有内存可以给你使用了 内存泄露
# 系统只分配给你100m内存,101M 内存溢出
def start_game(direction, step):
# 原点坐标
origin_position = [0, 0]
# ... |
995,682 | 4fba6d82c6478bf4770cfff4b346032fce183b49 |
def logger(func):
def wrapper(*args, **kwargs):
print('args: ', args, 'kwargs: ', kwargs)
# try:
result = func(*args, **kwargs)
# except Exception as e:
# print(e)
# result = e
with open('text.txt', 'a') as file:
file.write(f'{args} \n')
... |
995,683 | 38b43a2fcdb74621a72f408c00a3ad5e131e99ae | '''Write a python program to find if a given year is a leap year or not'''
def leapYear(y):
if y % 4 == 0:
if y % 100 == 0 and y % 400 != 0:
print("{} is not a leap year".format(y))
else:
print("{} is a leap year".format(y))
else:
print("{} is not a leap year".format(y))
ye... |
995,684 | 3b9b3dfbd2af2b0333840d2c14e4c9c29e9d6895 | import sys
from collections import namedtuple
Point = namedtuple("Point", "x y")
Rectangle = namedtuple("Rectangle", "left top right bottom")
def outSideCheck(a, b):
return b.right < a.left or a.right < b.left
def outBottomUpCheck(a, b):
return a.top < b.bottom or a.bottom > b.top
def overlapRect(a, b):
... |
995,685 | a26aa54ae77622cf3897cb358f6c3cab30f8f59f | import os
from datetime import datetime
import numpy as np
from msl.io import JSONWriter, read
from .. import __version__
from ..log import log
from ..constants import REL_UNC, DELTA_STR, SUFFIX, MU_STR
def num_to_eng_format(num):
for key, val in SUFFIX.items():
renum = num/val
if abs(renum) < 1... |
995,686 | 5eccae6e643f27e3e5224e8004205c0b1fc63c52 | from fastapi import FastAPI, Form
from fastapi.testclient import TestClient
app = FastAPI()
@app.post("/form/python-list")
def post_form_param_list(items: list = Form()):
return items
@app.post("/form/python-set")
def post_form_param_set(items: set = Form()):
return items
@app.post("/form/python-tuple")
... |
995,687 | 4e0e4e1b2b711581ba826c730a7299a637726383 |
class update:
startOver = False
fctDataPath = None
useCache = False |
995,688 | 86f11623b798c7d0f907610ac9728210e63f422e | #!/usr/bin/python
# -*- coding:utf-8 -*-
#功能：把用户输入的不规范的英文名字，变为首字母大写，其他小写的规范名字
def normalize(name):
return name.capitalize()
L1 = ['adam', 'LISA', 'barT']
L2 = list(map(normalize, L1))
print(L2) |
995,689 | fde31ae3a78158facefe00e237326ffe3cee6bff | # list
My_list = [1,2,3,4,56,67]
my_list2 = list(range(1,7))
print(My_list)
print(my_list2)
my_list3 = list(range(1, 50, 10))
# it will increment each time with diff of 10
print(my_list3)
# operations on list :
# this will return the fifth element
print(my_list2[4])
print(my_list2[-2])
# lets create... |
995,690 | 90d53d2c2cd074080287f7449c8b3e91143fbc5d | __copyright__ = "Copyright (c) 2020 Jina AI Limited. All rights reserved."
__license__ = "Apache-2.0"
from typing import Tuple
from ...types.querylang.queryset.dunderkey import dunder_get
from .. import QuerySetReader, BaseRecursiveDriver
if False:
from ...types.sets import DocumentSet
class SortQL(QuerySetRea... |
995,691 | cdb05864bebbe10ffa563542dd51d889af85b4c1 | # !/usr/bin/env python
"""
CLPSO.py
Description: the implemention of CLPSO
Refrence paper:
Liang, Jing J., et al. "Comprehensive learning particle swarm optimizer for global optimization of multimodal functions."
IEEE transactions on evolutionary computation 10.3 (2006): 281-295.
Member variables:
Name: ... |
995,692 | 91a30f195f7f1f9d88f447b050188196f5b507d6 | #! /usr/bin/python
# Filename: Str_cont.py
#
# Story from paultyma.blogspot.jp/2010/11/google-interviewing-story.html
#
# Example: String1: ABCDEFGHLMNOPQRS String1: ABCDEFGHLMNOPQRS
# String2: DCGSRQPOM String2: DCGSRQPOZ
# Output: true Output: false
#
#
# Best complexity: o(m+n) m:len(String1) & n:len(String... |
995,693 | 522153553cb78501acc788a70c839d9abd8987e3 | import pymysql
#mysql connection
conn = pymysql.connect(host='localhost', user='python', password='qwer1234',
db='python_app1',charset='utf8')
try:
with conn.cursor() as c: #conn.cursor(pymysql.cursors.dictcursor) : 디셔너리 형태로 리턴 #
c.execute("select * from users")
#1개 로우
... |
995,694 | 3ec6370865d157326eb2459c286496cc28244e0b | import subprocess
import os
import re
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--files', type=str, help='Comma separated test filenames')
args = parser.parse_args()
test_files = {x for x in os.listdir() if re.search(r'.*_test.py', x)}
if args.files:
arg_files = set(args.files.split(',... |
995,695 | 959bcff418c448d478f9b1f22a75ab6e25fde2d5 | import time
import torch
import numpy as np
import pandas as pd
from torch.optim import Adam
from options import *
from Encoder import *
from Decoder import *
from util import *
def inference(opt, encoder, decoder, test_loader):
encoder.eval()
decoder.eval()
result = []
for batch_idx, (utterances, u_... |
995,696 | 60579df55b7342f11938e9150d04a57ee8c6474c | from sklearn.neural_network import MLPRegressor
from sklearn.model_selection import train_test_split
from sklearn.metrics import r2_score
import sys
import pickle
# split a string into tokens based on a given character
def parse (str1, char) :
l = str1.split(char)
return l
# building inputs x and y
# Reading ... |
995,697 | b4a93369065aab23a7134539b9b56b6301558ed0 | from hmmlearn.hmm import GaussianHMM
import matplotlib.pyplot as plt
import numpy as np
# Here n_components correspond to number of states in the hidden
# variables.
model_gaussian = GaussianHMM(n_components=3, covariance_type='full')
# Transition probability as specified above
transition_matrix = np.array([[0.2, 0.6... |
995,698 | aa4f681c011f798ef93bf77b8db4e5a46758297d | # -*- coding: utf-8 -*-
"""XDCGAN-MINST-RVL-FVL.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1UBOzY5n5KsevH-j3znDhaFUcSDXg66Bp
"""
from keras.datasets import mnist
from keras.utils import np_utils
from keras.models import Sequential, Model
fro... |
995,699 | 69b5916108712cd0e56e09501991abbd4792b53b | from typing import Tuple
import os
from PIL import Image
import imagehash
import math
import random
INPUT_DATA_DIR = "d:\\ml\\goat-data\\goat-train-compressed"
OUTPUT_DATA_DIR = "d:\\ml\\goat-data\\goat-train-input"
def to_ratio(image: Image, ratio: Tuple[int, int] = (4, 3)) -> Image:
width = image.size[0]
... |
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