index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
994,100 | bc18a228393c5e94b5de50e2b890cea60e5574cb | from django.db import models
from moderator.models import BaseTimestamp
class Doctor(BaseTimestamp):
"""
Doctor model with OneToOne relation with custom user model.
"""
user = models.OneToOneField("accounts.user", on_delete=models.CASCADE)
specialization = models.CharField(max_length=64... |
994,101 | 455e83ce0816270521c066a6ddb8fa36f486c671 | import csv
with open("data.csv") as csv_file:
csv_reader = csv.reader(csv_file, delimiter=',', quotechar='"')
for row in csv_reader:
print(row[0])
import json
with open("data.json") as json_file:
data = json.load(json_file)
print(data) |
994,102 | 6d8f2189d7b92b01336ee9d4ff87430db7d0e89e | import datetime
import re
import socket
from _thread import start_new_thread
import config
import db
import utils
infobool = False
def main():
s = socket.socket() # установка соединения
utils.connection(s) # -//-
print(s)
file = open('log.txt', 'a') # запись в лог даты текущего запуска
file.wri... |
994,103 | d8d8229a99eeea28295c91c3d39e5d2413b81803 | import cv2
import os
import time
import numpy as np
from keras import backend as K
from keras.models import load_model
from yad2k.models.keras_yolo import yolo_eval, yolo_head
class YOLO(object):
def __init__(self):
self.model_path = 'model_data/yolo.h5'
self.anchors_path = 'model_data/yolo_anchors.txt' ... |
994,104 | 57151c2867ff07aa1d9002d2491dca17fe188299 | from rest_framework import serializers
from fees.models import conductedFees
class conductedFeesSerializer(serializers.ModelSerializer):
class Meta():
model = conductedFees
fields = ('user','room', 'totalFees','adminFees')
lookup_field = 'user'
extra_kwargs = {
... |
994,105 | 5e422d28ecafdedc046ad5b35934dd212173e324 | import json
from steppygraph.machine import Branch, Parallel
from steppygraph.states import Choice, ChoiceCase, Comparison, ComparisonType, Task, StateType, to_serializable, \
Pass, Catcher, ErrorType, State, BatchJob, EcsTask
from steppygraph.states import Resource, ResourceType
from steppygraph.test.testutils im... |
994,106 | 2ac550ae9f2f81b11c348c1e6008f748d79bd3ad | from operator import add, sub
from _utils import *
inp = get_input(2020, 8)
tape = inp.strip().split("\n")
def step(i, acc):
op = {"+": add, "-": sub}
instr, arg = tape[i].split()
sign, num = arg[:1], arg[1:]
if instr == "nop":
i += 1
elif instr == "acc":
i += 1
acc = op[... |
994,107 | 78b96d5adbdde3e7433701663d9b5344ccaee955 | from django.template import Library, Node
from distribution.models import FoodNetwork
class FoodNet(Node):
def render(self, context):
try:
answer = FoodNetwork.objects.all()[0]
except IndexError:
answer = None
context['food_network'] = answer
return ''
... |
994,108 | 6e7221bfbbb27e7d5207f6fa33b80c2d4d7801d3 | from __future__ import unicode_literals
from django.apps import AppConfig
class Schedule1Config(AppConfig):
name = 'schedule1'
|
994,109 | 28dcc6b55b3a4470a519605d85e8dc7b64a898b3 | from hashlib import sha1 as sha1_oracle
from hypothesis import given
from hypothesis.strategies import binary, lists
from firmware import Sha1
def test_empty() -> None:
assert Sha1().digest().hex() == sha1_oracle().digest().hex()
def test_short() -> None:
chunk = b"abc"
actual = Sha1()
expected = ... |
994,110 | efa0eeddaceb76c67d1d07f222be1c4c14d215b7 | # -*- coding: utf-8 -*-
{
'name': 'Project Weekly Report',
'version': '1.0',
'category': 'Project',
'sequence': 1,
'summary': ' create weekly report',
'description': "This module will create project report weekly.",
'website': 'http://www.hashmicro.com/',
'author': 'Hashmicro / Niyas',
... |
994,111 | 98c565a141ca8d0b3d3664f7bf19a6582d359a05 |
# number two practice problem #
# all in m/s #
a = 9.8
ang = 45
v_i = 26.8
y = 2
# physics is wrong #
x = ang*v_i*y
print(x)
|
994,112 | a8eebd21b8453709c7dab6eaae93ff36893dfecd | from generators.lib.dates_generator import DatesGenerator
from generators.lib.hash_splitter import HashSplitter
from generators.lib.length_cutter import LengthCutter
from generators.lib.file_splitter import FileSplitter
import argparse
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_a... |
994,113 | 9101c47ec1e472d3dd5bc65f7fd75a8fe42eff42 | # coding: utf-8
from Tkinter import *
from pprint import *
from random import randint
import os.path
phase = "init" # les autres phases possibles sont : "in-game" / "end-game"
def initGrid(): # Retourne une liste de liste de 10*10
liste = [0] * 10
temp = liste[:]
for i in range(len(liste)):
... |
994,114 | c4c4b1872669693e704a0a29cad023acf929b671 | # Modules
from keras.layers import Dense
from keras.layers.core import Activation
from keras.layers.normalization import BatchNormalization
from keras.layers.convolutional import UpSampling2D
from keras.layers.core import Flatten
from keras.layers import Input
from keras.layers.convolutional import Conv2D, Conv2DTransp... |
994,115 | 7031a2a8644c9f78c791c738105ae73957adcf67 | import os
import tempfile
import time
from mock import Mock, patch
import pytest
from clicast.cast import Cast, CastReader, url_content, _url_content_cache_file
CAST_URL = 'https://raw.githubusercontent.com/maxzheng/clicast/master/test/example.cast'
CAST_FILE = os.path.join(os.path.dirname(__file__), 'example.cast'... |
994,116 | c803314c381f7fcff937861b69e6bb263405a8ab | # Generated by Django 3.0.3 on 2020-02-10 08:03
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('poll', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='User',
fields=[
('no', models... |
994,117 | 1c6bc93703c449e28cae303ed6532052d431fb12 | import requests
import base64
ak = 'QsPqs20yfvQ7QcdnYfdWC5Ei'
sk = 'EEMdjil0u1CW5uI3ts1mLD0VCQvTGYs6'
def get_at(api_key, secret_key):
host = "https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=" + api_key + \
"&client_secret=" + secret_key
response = requests.get(hos... |
994,118 | 217a838b6cc58212f992a046b03345febb6dbdc1 | # Generated by Django 2.1 on 2018-09-01 23:15
import datetime
from django.db import migrations, models
from django.utils.timezone import utc
class Migration(migrations.Migration):
dependencies = [
('weatherApp', '0005_auto_20180901_1558'),
]
operations = [
migrations.AddField(
... |
994,119 | adb5945f1995e57bba817b7e8763d19fb9f81be5 | # -*- coding: utf-8 -*-
"""
Created on Sat Jul 11 17:45:07 2020
@author: sifan
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
from tensorflow.python.framework import ops
from tensorflow.python.ops import array_ops
f... |
994,120 | 23cc26adad4bf94f316bea66dbf2535635921e2a | n=int(input("Enter a number:"))
sum=0
while(n>0):
rem=n%10
sum=sum+rem
n=(n//10)
print("The total sum of digits is:",sum) |
994,121 | 2e52ba3453c7b629f4b6c1862ffa78b63afec7f7 | import subprocess
import os
import getpass
def connection():
path = r"core\\login.bat"
p = subprocess.Popen(path,stdout=subprocess.PIPE,shell=True)
stdout,stderr = p.communicate('dir c:\\')
print stdout
def disconnect():
path = r"core\\delete.bat"
p = subprocess.Popen(path,stdout=subpr... |
994,122 | 09834ef9aa03abb6c2757e0774b804b49c84bbca | def product(*num):
result = 1
for i in num:
result *= i
print(result)
product(10, 20, 30)
def sum(num1, *arg):
result = 0
for i in arg:
result += i
print(result)
sum(5000, 20, 30)
|
994,123 | 6c814da40b377cc8539dce8e14893a46392dd656 | def solve():
N, M = map(int, input().split())
if N == 1 and M == 1:
print(1)
exit()
if M < N:
N, M = M, N
if N == 1:
print(M - 2)
exit()
print((N - 2) * (M - 2))
if __name__ == '__main__':
solve()
|
994,124 | bdd5e8208540a462359d09c04ea3d54d34017f68 | import carla
import erdos
# Pylot specific imports.
import pylot.utils
import pylot.simulation.utils
DEFAULT_VIS_TIME = 30000.0
class CanBusVisualizerOperator(erdos.Operator):
""" CanBusVisualizerOperator visualizes the CanBus locations.
This operator listens on the `can_bus` feed and draws the locations o... |
994,125 | c6bf80e6001a27f353b8d94cc608998b811d0dc8 | #!/usr/bin/env python
# coding=utf-8
from __future__ import unicode_literals, print_function, division
import sys
import binascii
from diameterparser.decode_diameter import decode_diameter
def convertMac(octet):
mac = [binascii.b2a_hex(x) for x in list(octet)]
return "".join(mac)
class DiameterConn:
... |
994,126 | 99c5545cfa2923f80093b8f54b4105075f6a5e43 | import multiprocessing
bind = "0.0.0.0:8000"
workers = 2 # multiprocessing.cpu_count() * 2 + 1
worker_tmp_dir = '/tmp_gunicorn'
|
994,127 | ab174d5f62f09444e0caa82fac6ce6eef9885be8 | #!/usr/bin/env python3
import os
from pyblake2 import blake2b
from sapling_generators import SPENDING_KEY_BASE
from sapling_jubjub import Fr, Point, r_j
from sapling_key_components import to_scalar
from sapling_utils import cldiv, leos2ip
from tv_output import render_args, render_tv
def H(x):
digest = blake2b(pe... |
994,128 | 1e62c472b562a30cf42f1be049425df9e35ce1c8 | # -*- coding: utf-8 -*-
class Frob(object):
def __init__(self, name):
self.name = name
self.before = None
self.after = None
def setBefore(self, before):
self.before = before
def setAfter(self, after):
self.after = after
def getBefore(self):
return self.bef... |
994,129 | 1cbcef34ffd194a5e8fd8cb111d05423d76fa9ad | import pandas as pd
import numpy as np
import seaborn as sns
from tensorflow.python.ops.gen_array_ops import pad_eager_fallback
sns.set()
df = pd.read_csv("../data/fake_reg.csv")
sns.pairplot(df)
from sklearn.model_selection import train_test_split
X = df[["feature1", "feature2"]].values
y = df["price"].values
X... |
994,130 | 4773586881229fa669e4516ae4e514105ca3e270 | def circulo():
r=int(input("Ingrese radio"))
import math
t=math.pi*pow(r,2)
print("Área= ",t,"\n")
def triangulo():
a=int(input("Ingrese Base"))
b=int(input("Ingrese altura"))
t=(a*b)/2
print("Área= ",t,"\n")
def rectangulo():
a=int(input("Ingrese Largo"))
b=int(input("Ingrese A... |
994,131 | 9e2c318da890f30b8e8164a93b705e89329219a5 | s1=input()
l1=s1.split(' ')
d1={}
for i in l1:
d1[i]=l1.count(i)
for i,j in zip(d1.keys(),d1.values()):
print(i,":",j)
|
994,132 | 213fdaae53055fa2a46abc0e5f63ed989741ee91 | from django.contrib.auth.decorators import login_required
from django.urls import path
from . import views
app_name = 'gamescoring'
urlpatterns = [
path('ScoreConfirm/', login_required(views.ScoreConfirm), name = "ScoreConfirm" ),
path('SaveScore/', login_required(views.SaveScore), name = "SaveScore" ),
... |
994,133 | ec2af862fe2bd0162e4a75fa9c581b9d308eb872 | from django.shortcuts import render, redirect
from django.views.decorators.cache import cache_control
from django.contrib.auth.decorators import login_required
from tests.models import TestInfo, QuestionInfo, TestingResults, QuestionAnswer, QuestionAnswerUser, HtmlBlocks
import datetime
from enum import Enum
from djang... |
994,134 | 445f68417a57e1bbe4b7c685a662f2354362dd1b | import unittest
from csvtools.test import ReaderWriter
import csvtools.unzip as m
class TestUnzip(unittest.TestCase):
def test_out_spec(self):
csv_in = ReaderWriter()
csv_in.writerow('a b c'.split())
csv_in.writerow('a1 b1 c1'.split())
csv_in.writerow('a2 b2 c2'.split())
... |
994,135 | 0251ceec4bf5492529bb1076496524d014c70a90 | # -*- coding: utf-8 -*-
"""
Microsoft-Windows-Provisioning-Diagnostics-Provider
GUID : ed8b9bd3-f66e-4ff2-b86b-75c7925f72a9
"""
from construct import Int8sl, Int8ul, Int16ul, Int16sl, Int32sl, Int32ul, Int64sl, Int64ul, Bytes, Double, Float32l, Struct
from etl.utils import WString, CString, SystemTime, Guid
from etl.dt... |
994,136 | 7809922a9b4274cf738c0032193d287eb8c28f41 | """
Test of ABARES report_builder script
"""
#%load_ext autoreload
#%autoreload 2
#%cd "J:\ProductivityAndWaterAndSocial\Water\_Resources\ABARESdocs\\charts_and_tables"
import pandas as pd
import report_builder
import numpy as np
import os
home = os.getcwd()
tablesf = home + "\\output\\"
home_1 = os.path.dirname(ho... |
994,137 | 3f4a620e83fa8c8e6fd3ee3a51f9628964c80631 | from typing import List, Optional
from kubernetes.client import V1beta1CronJob
from streams_explorer.models.kafka_connector import KafkaConnector
from streams_explorer.models.sink import Sink
from streams_explorer.models.source import Source
class Extractor:
sources: List[Source] = []
sinks: List[Sink] = []... |
994,138 | 3dc2073e149521a6993307dcb26bce9ebb3adbc3 | version https://git-lfs.github.com/spec/v1
oid sha256:1d4a7d60bede05345f4fc82cea2ada325e8cdd8be80f17c59a4930c26ae88a78
size 15392
|
994,139 | d6d6b765671a6f5d0750ab4044d732e6bb24c554 | #! python3
#### Builing a text classifier
import zipfile
import pandas as pd
import numpy as np
import pickle
import nltk
from nltk import FreqDist
import re
import sys
import sklearn
sys.path.append("C:\Python34\Scripts\Mike AI Job\Final")
#import tweepy2
from text_preprocessing import remove_st... |
994,140 | 3f9ac7d5f3b9b7c9a8f12cee2ace589c024375bf | class Timeline:
"""タイムラインの取得と ``since_id`` と ``max_id`` を保存、取得するクラス
Attributes
ーーーーーー
home_timeline_ids : TimelineIndex or None
ホームタイムラインの ``since_id`` と ``max_id`` を保持するオブジェクト
"""
def __init__(self, api, storage):
"""
Parameters
----------
api : tweepy.a... |
994,141 | abc4a581916abf8c87b4ade2dc8962a050bb8ebd | n = int(input())
li =[]
for _ in range(n):
li.append(int(input()))
def gogo(li):
cnt=1
s =li[0]
for i in range(1,n):
if li[i]>=s:
s= li[i]
cnt+=1
if s == max(li):
break
print(cnt)
gogo(li)
li.reverse()
gogo(li)
|
994,142 | 31f85fa991342fd8531451e21e43dbe8d2622f0c | import PyPDF2
class PDF2Txt():
def __init__(self,pdf):
self.pdf = pdf
self.pdfObj = open(self.pdf,'rb')
self.CompleteStr = ""
self.AllPages()
def Read(self):
return self.CompleteStr
def AllPages(self):
self.pdfRead = PyPDF2.PdfFileReader(self.pdfOb... |
994,143 | c5f677ab0db77914ee3572a236c292b0ce5e6395 | # -*- coding: utf-8 -*-
# Sõnastikud
# Väino Tuisk
sonastik = {"janku":[(100,250),"red","mjau.vaw"],"raamat":"book","auto":"car","meri":"sea"}
hinded ={"A":96,"B":90,"C":76,"D":66,"E":50}
for i in sonastik:
print (i,end = " ")
print (" ")
eesti = input("mis sõna tõlkida? ")
print (sonastik[eesti])
##print ("")
##p... |
994,144 | 0cb119f2d5528351ca3432e7f2d89b1307515e72 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
# vim:fenc=utf-8
#
# Copyright © 2018 Cesar Sinchiguano <cesarsinchiguano@hotmail.es>
#
# Distributed under terms of the BSD license.
"""
Everthing done with open3d, pyntcloud, CloudCompare, meshLab and python_pcl binding(wrapper)
-----------------------------------------... |
994,145 | d52e2155960779ba0716af74d344f4e681d5552e | # -*- test-case-name: signing.test.test_persistence -*-
from twisted.internet import defer
class Persistence(object):
"""
Simple deferred key:(field:value) store.
If a field is set which already has a value, the value is overwritten.
get_all returns a list of all fields for that key.
"""
key... |
994,146 | c21d77989748fe9e49f93d38fa1e0d80b589f085 | import itertools
import numpy as np
import pytest
from chunkblocks.global_offset_array import GlobalOffsetArray
from chunkblocks.iterators import Iterator
from chunkblocks.models import Block, Chunk
class IdentityIterator(Iterator):
def get_all_neighbors(self, index, max=None):
return index
def get... |
994,147 | 6df2ceda44307f438ed54c15fb12913082fc1f90 | #!/usr/bin/env python
""" Constructs quantum system for ASE-internal water molecule descript in and
extracts ESP"""
from ase.io import read
from ase.io import write
from gpaw import GPAW
from gpaw import restart
from ase.build import molecule
from ase.optimize.bfgslinesearch import BFGSLineSearch #Quasi Newton
from ... |
994,148 | cdba7675594ef20fc33e3d310fb8e828355ad0b7 | """
test_passwordless
~~~~~~~~~~~~~~~~~
Passwordless tests
"""
import re
import time
from urllib.parse import parse_qsl, urlsplit
import warnings
import pytest
from flask import Flask
from tests.test_utils import (
capture_flashes,
capture_passwordless_login_requests,
logout,
)
from flask_se... |
994,149 | b3b6fb5557c71c6d7b6fd053b455bc351f67f571 | from django.db import models
from django.utils.translation import gettext as _
from django.urls import reverse
from django.forms import ModelForm
class Meta:
managed = True
class Squirrels(models.Model):
X = models.FloatField(
help_text=_('Longitude'),
)
Y = models.FloatField(
... |
994,150 | b69cc5c07cc0be99471c1fa869d09c382749cae5 | __author__ = 'julian'
from agent import Agent
from house import House
import pandas as pd
class Dilemma():
dilemma_count = 0
def __init__(self, num_rounds, num_houses):
self.id = Dilemma.dilemma_count + 1
self.round = 0
self.final_round = None # Final round with rented houses
... |
994,151 | dcfa564e3b1b8bd22de06f483276f5c6ad983f0e | #! /usr/bin/env python
# ----------------------------------------------------------------
# @author: Shamail Tayyab
# @date: Thu Apr 4 12:33:00 IST 2013
#
# @desc: Redis/Python ORM for storing relational data in redis.
# ----------------------------------------------------------------
import inspect
import redis
r =... |
994,152 | b14e07c70375ae7e24e3bb60cec32b869746f50e | import tinychain as tc
import unittest
from testutils import start_host
class TestGraph(tc.graph.Graph):
__uri__ = tc.URI("/test/graph")
def _schema(self):
users = tc.table.Schema(
[tc.Column("user_id", tc.U64)],
[tc.Column("email", tc.String, 320), tc.Column("display_name", ... |
994,153 | 2ba219e22f32cda13de75827b39586633f7c6ddb | # -*- coding: utf-8 -*-
"""
Created on Fri Nov 03 14:59:03 2017
统计基因类型
@author: Administrator
"""
import numpy as np
#from pandas import DataFrame as df
import pandas as pd
import datetime
value12=[]
with open("Methlytion4.3-new.txt",'r') as f:
m=0
for line in f.readlines():
line = line.strip('\n')
... |
994,154 | 642b2c1a62421694d937981d9fb0d4d422c012d4 | import json
import requests
from .config_connect import config, confluence_url_request, con_request
# separate calls for data as one function
def dpl_title_list():
url_root = confluence_url_request(config())
url = url_root + "/rest/api/content/search?cql=(type=page and space=DEP and title ~ '2018' and (title ~... |
994,155 | c3e27f35079b55818ce3b5463b7aab1d6ef0dc09 | """
Use a stack to check if a string has balanced usage of parenthesis.
Example:
(), ()(), (({[]})) <- Balanced.
((), {{)}], [][]]] <- Not Balanced.
"""
from stack_ds import Stack
def is_match(top, p):
if top == "{" and p == "}":
return True
if top == "[" and p == "]":
return True
... |
994,156 | 6bfa4fda3eb8dea650a7194bb104e37b9a442441 | import preprocess as prp
from sklearn.model_selection import train_test_split
from sklearn import metrics
from sklearn import svm
import preprocess as prp
from sklearn import metrics
import numpy as np
from sklearn.pipeline import make_pipeline
from sklearn import preprocessing
import matplotlib.pyplot as plt
from dat... |
994,157 | 7e0ca838a84511d2b6d9d2c2daaea7ad57b4f531 | # -*- coding:utf8 -*-
# ***************************************************************************
# Create on 2015-12-10
#
# @Author:sunlf
#
# ***************************************************************************
import os
import logging
from config.dbconfig import *
ENV = "beta"
BASE_DIR = os.path.dirname... |
994,158 | ffc4d9d9fa1a77464b386ded277578c14df5eff0 | # -*- coding: utf-8 -*-
from infra_scraper.input.saltstack import SaltStackInput
from infra_scraper.utils import setup_logger
logger = setup_logger('input.reclass')
class SaltReclassInput(SaltStackInput):
def __init__(self, **kwargs):
super(SaltReclassInput, self).__init__(**kwargs)
self.kind =... |
994,159 | 14a1b7f31044929330f5de54df0c474f3846b48b | from sqlite3 import Connection as SQLite3Connection
from datetime import datetime
from sqlalchemy import event
from sqlalchemy.engine import Engine
from flask import Flask, request, jsonify
from flask_sqlalchemy import SQLAlchemy
import linked_list
import hash_table
import binary_search_tree
import custom_queue
import... |
994,160 | f2cc7628e19e30ddae49e2b4774ef0efa943448c | from django.shortcuts import render, redirect
from .forms import ContactForm
from django.core.mail import send_mail
from django.template.loader import render_to_string
from django.conf import settings
# Create your views here.
def index(request):
form = ContactForm()
if request.method == 'POST':
form... |
994,161 | 0012c12553a71e5f40bc38786abb157eb8a7b1b4 | from ._components import * # noqa: F403, F401
from ._contents import * # noqa: F403, F401
from ._core import * # noqa: F403, F401
from ._deletion import * # noqa: F403, F401
from ._referrer import * # noqa: F403, F401
from ._tokens import * # noqa: F403, F401
|
994,162 | 9e2bca3f51203718d2927d7c109531bee7b7f819 | __author__ = 'pmagdon'
import sys
import os
import time
import argparse
from im import *
start = time.time()
parser = argparse.ArgumentParser(description='Process to orthorectify RapidEye L1B data based on RPC correction.')
parser.add_argument("InFileName",action='store', help="Path to the corresponding MetaD... |
994,163 | 77da71ae2711559b7dab525ccdc05896f7fa6a06 | ''''
from math import sqrt
multisqrt = vectorize(sqrt)
multisqrt(4.0, 25.0, 1.0, 10.0)
[2.0, 5.0, 1.0, 3.1622776601683795]
'''
from math import sqrt
def vectorize(func):
def inner(*args):
return [func(x) for x in args]
return inner
if __name__ == "__main__":
multisqrt = vectorize(s... |
994,164 | 2130057edb2507505e485508bf53e1b130ce7a89 | import tensorflow as tf
from net import load_data
import matplotlib.pyplot as plt
import matplotlib.image as Image
from net import U_Net
def loss_func(v_xs, v_ys):
result = tf.reduce_mean(tf.reduce_mean(tf.square(v_xs-v_ys), axis=[1, 2, 3]))
return result
def main(_):
config = tf.ConfigProto()
confi... |
994,165 | aeb51a268b99b57c6784395f33bf4e1f71d3c91e | class Solution:
def reverse(self, x):
b = ''
a = str(x)
if int(x) < 0:
a = a[1:]
b = -int(a[::-1])
if int(x) > 0:
b = int(a[::-1])
if -2 ** 31 < b < 2 ** 31 - 1:
return b
else:
return 0
print(Solution().rev... |
994,166 | c5cfe653c1060688c1df993e002289ec0dddd247 | def getAltitudeLatLon(self,lat,lon):
row = int(round((lat - self.__latBias)*self.__delAlevation))
col = int(round((lon - self.__lonBias)*self.__delAlevation))
sz = self.__altidata.shape
if row >= sz[0]:
row = sz[0]-1
if col >= sz[1]:
col = sz[1]-1
... |
994,167 | 58006def2b6ff38b88c8f697f23140fdbc2a0c6a | import sqlite3
import projectcommands as project
import taskcommands as task
def initial_options():
print " 1. Select a Project"
print " 2. Add a Project"
print " 3. View Task Due this Week"
print " 4. View Task Due this Month"
print " 5. View Critical Task"
print " 6. View All Incomplete Task"... |
994,168 | e469f0f0e14ae5b9e16ce6ee22cc0f6ff130d2fb | """
UnitAPI
Edit the variables with your API Token and API Server. You can create an API token in Unit Dashboard. # noqa: E501
The version of the OpenAPI document: dfec2411-22b5-4a3b-8d43-fcf778bd42a5
Generated by: https://openapi-generator.tech
"""
import re # noqa: F401
import sys # noqa: F40... |
994,169 | 063a7e686045567b529ecf0aafc9a30c57b46f10 | import pytest
import json
from name.models import Location, Name
from django.urls import reverse
# Give all tests access to the database.
pytestmark = pytest.mark.django_db
def test_entry_detail_returns_ok(client, name_fixture):
response = client.get(
reverse('name:detail', args=[name_fixture.name_id]))... |
994,170 | 99fa356d934f6b19bf8958fbcdaffa0128db931d | import os
import config
import base64
import requests
import mysql.connector
import telebot
import time
import json
from PIL import Image
from mysql.connector import errorcode
DB_HOST = os.environ.get('DB_HOST')
DB_NAME = os.environ.get('DB_NAME')
DB_USER = os.environ.get('DB_USER')
DB_PASSWORD = os.environ.get('DB_P... |
994,171 | 7a3cd2f8a2bce933c4022e4f70ebf86af3220a22 | import logging
import argparse
import yaml
import os
import subprocess
import re
import datetime
import pickle
import sklearn
import xgboost
import pandas as pd
import numpy as np
from src.load_data import load_data
from src.helpers import Timer, fillin_kwargs
from src.generate_features import choose_features, get_t... |
994,172 | c8118cbe560c792b14afcba647d2c18b8cad232d | from selenium import webdriver
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.support.ui import Select
import time
url = 'http://cbseaff.nic.in/cbse_aff/schdir_Report/userview.aspx'
driver = webdriver.Chrome(ChromeDriverManager().install())
driver.get(url)
driver.implici... |
994,173 | b43b6f8e880706551bad0f8fdb85b4ab8728e25b | from django import forms
from django.urls import path, reverse
from django.views import generic
from ryzom_django.html import template
from ryzom_django_mdc import html
class ExampleDocument(html.Html):
title = 'Secure Elections with homomorphic encryption'
# Serves to demonstrate template composition based on... |
994,174 | 806836765bceafef6d465664c0546e1b32584c20 | class Node(object):
def __init__(self,item):
self.item=item
self.next=None
class SinCycLinkedlist(object):
"""单向循环链表"""
def __init__(self):
self._head=None
"""判断链表是否为空"""
def is_empty(self):
return self._head==None
"""返回链表的长度"""
def length(self):
if self.is_empty():
return 0
count=1
cur=self... |
994,175 | 2c52f470a229ed9eeb8fe6f692e010a7017a492a | class Solution:
def searchMatrix(self, matrix: [[int]], target: int) -> bool:
list = [itm for row in matrix for itm in row]
left, right = 0, len(list)-1
while left <= right:
mid = left + (right - left) // 2
val = list[mid]
if(val == target):
... |
994,176 | 4efaa5985d6f130edd1e713a890c18e33288dab9 | import json
import urllib2
import math
import pyaudio
import sys
import time
def getRate():
content = urllib2.urlopen("http://blockchain.info/de/ticker").read()
data = json.loads(content)
rate = data['USD']['15m']
return(float(rate))
def playBeep(RATE, WAVE):
PyAudio = pyaudio.PyAudio
p = PyAudio()
data = ''.j... |
994,177 | d295206c82596ebb005e1810c7e593b1ac629a85 | import numpy as np
import os
import pickle
def get_baseline_estimates(ratings):
#print('inside get_baseline_estimates')
if not os.path.isfile("baseline_estimates.pkl"):
user_count = ratings.shape[0]
movie_count = ratings.shape[1]
avg_user = []
avg_movie = []
global_mea... |
994,178 | 6e774a89f9d0c05939def00d1779130b4757fdec | import socket
import hashlib
from Crypto.Cipher import AES
from Crypto.PublicKey import RSA
from Crypto import Random
from Crypto.Random.random import getrandbits
import registrar
import sys
from charm.toolbox.integergroup import RSAGroup
from charm.schemes.pkenc import pkenc_paillier99
from charm.core.math import... |
994,179 | 4564de10ad98465c0b79e78b1b6e02ebaf142259 | from internet_usage import get_usage
from flask import Flask, render_template, Response
import time
app = Flask(__name__)
@app.route('/')
def home():
global usage
usage = get_usage()
return render_template('home.html', usage=usage)
|
994,180 | 7cf4c799271168dd8cf53b68603c9b88ab6cb03d | from collections import defaultdict
from aocd import get_data
from dotenv import load_dotenv
load_dotenv()
t = """mxmxvkd kfcds sqjhc nhms (contains dairy, fish)
trh fvjkl sbzzf mxmxvkd (contains dairy)
sqjhc fvjkl (contains soy)
sqjhc mxmxvkd sbzzf (contains fish)"""
def parse_foods(input: str):
foods = []
... |
994,181 | 51d9a0bcd8d26e4444d3a4ff41dd62b00ef93afc | import sys
sys.path.append("..")
import struct
import pickle
from time import ctime
import tcp.tcpclisock as tcp
from PyQt5 import QtCore
HOST = '106.15.225.249'
PORT = 21567
BUFSIZE = 1024
ADDR=(HOST,PORT)
class Loginbackend(QtCore.QObject):
loginresult = QtCore.pyqtSignal(int)
feedback = QtCore.pyqtSignal(in... |
994,182 | 222a5cdb31c3df73fbf26c137d303536c2b22572 | #!/usr/bin/env python
import sqlite3
import os
import logging
from modules import utils
class Database(object):
def __init__(self, root):
self.root = root
self.conn = sqlite3.connect("data/main.db")
self.cursor = self.conn.cursor()
self._checkItemTable()
def _checkItemTable(s... |
994,183 | eb929c6a12cefdd3914ce742cea6a6f169a3ae9d | # -*- coding: utf-8 -*-
"""
Created on Fri Mar 12 12:37:17 2021
@author: Administrator
"""
import sys
#from PyQT5.QtWidgets import QApplication,QWidget
#from ui_Widget import Ui_Widget
#class QmyWidget(QWidget):
# def __init__(self,parent=None):
# super().__init__(parent)
# self.ui=Ui_Widget()
# ... |
994,184 | b687fed66e6cdd09f16046bf03dc5396405ba854 | from fpdf import FPDF
from datetime import date
import pandas as pd
class PDF(FPDF):
def header(self):
self.image(resources+'header.png', 0, 0, 300,10)
self.ln(10)
def footer(self):
self.image(resources+'footer.PNG', 0,190,282,20.5)
self.set_y(-7)
self.set_font('Arial', '', 8)
self.set_t... |
994,185 | 1b1f14fdefb660de046f5680133a3ee0b2398b0c | def encontra_maximo (matriz):
lista0 = matriz[0]
lista1 = matriz[1]
lista2 = matriz[2]
maximo = lista0[0]
for e in lista0:
if e > maximo:
maximo = e
for e1 in lista1:
if e1 > maximo:
maximo = e1
for e2 in lista2:
if... |
994,186 | d7c86b17a6dacdd8730aad0f8760cabdb5510b53 | import math
import sys
# hundred 3
# thousand 4
# million 7
# billion 10
def execute(arr):
if len(arr) < 4: return False
a, b, c, (d, e, f) = 0, 0, 0, arr[:3]
for i in range(3, len(arr)):
a, b, c, d, e, f = b, c, d, e, f, arr[i]
if e < c - a and f >= d: return True
if c - a <= e ... |
994,187 | 3fdac8bfb9d6dec44aea7d11983874540b231eec | # -*- coding: utf-8 -*-
token = '499870364:AAEsRg6v6kAi9fdUiP-efrt7VakemN4CScI'
|
994,188 | 6609c9094a9ef87a68e7524ced7507353ba80e34 | import pretty_errors
import pandas as pd
import os
import numpy as np
import openpyxl as op
import datetime
# 部门列表
DEPARTS = ["销-2部", "销-3部", "销-5部", "销-6部", "销-8部", "销-9部", "市场部", "国际部", "资-香槟组", "资-Bgo无底薪", "资-Bgo有底薪"]
MAIN_DEPARTS = ["销-2部", "销-3部", "销-5部", "销-6部", "销-8部", "销-9部", "市场部", "国际部", "资源部"]
# 桌面路径
DIR_D... |
994,189 | 49326e1294c8f303db50c33b173131e4381b27b1 | #simple linear regression to model the relationship between methylation ratio and mutation frequency in various cancers
#goal is to compare the models derived from coding regions vs. all other regions
#normal WGBS data from various tissues is used in conjunction with mutation data of cancers originating in same tissue ... |
994,190 | 10527cd9b836dc5e563d3c35fdf7c686773ec47c | import sys
print (__name__, 'path=', sys.path)
import sub.spam # <== Works if move modules to pkg below main file
|
994,191 | 4f3a9f61e4b64862ddbf93dd340b60ada16df306 | from django.contrib import admin
from django.urls import path
# from .import views
from .views import product_list, product_detail, Product_list1, post_list2, displaydata, createpost
urlpatterns = [
path('product/', product_list),
path('product/<int:pk>', product_detail),
path('classproduct/', Product_list1... |
994,192 | 07e7c65fc5550a274827f5079681f6935c85cf96 | #kata link: https://www.codewars.com/kata/52efefcbcdf57161d4000091
#Instruction : The main idea is to count all the occurring characters in a string. If you have a string like aba, then the result should be {'a': 2, 'b': 1}.
#What if the string is empty? Then the result should be empty object literal, {}.
#Code:... |
994,193 | 630875f504a2334f135946524d237060b0894565 | from django.contrib.auth import get_user_model
from django.urls import reverse
from django.test import TestCase
from rest_framework import status
from rest_framework.test import APIClient
from core.models import Category, Article
# from recipe.serializers import ArticleSerializer
ARTICLES_URL = reverse('recipe:art... |
994,194 | ba4f4ed873afa4038c26d92f1760e3a9bedab053 | from .forcast import PostForcastInteractor
from .prize import GetPrizeInteractor
from .rdb import CreateTableInteractor, DropTableInteractor, ITableInteractor
from .user import CreateUserInteractor, GetUserInteractor
__all__ = [
"CreateTableInteractor",
"DropTableInteractor",
"ITableInteractor",
"PostF... |
994,195 | c2090d8c90b91d87ace17a0ffdeda8640929908b | # ------------------------------------------------------
# profile.py
# ------------------------------------------------------
# handles the profile functionality for each dog walker or dog owner
# ------------------------------------------------------
# Last updated - 2019-01-12
# -----... |
994,196 | bfea72d6c6057ee692df0e0f68d170f8e7d8c1d2 | import random
from IPython import embed
import time
seed = round(time.time())
random.seed(seed)
print("Seed is: "+str(seed))
with open('HUGEthumbdrive.img', 'rb') as f:
HUGEthumbdriveData = bytearray(f.read())
print(len(HUGEthumbdriveData))
numToSplit = 50000
chunksOfData = [HUGEthumbdriveData[i:i+numToSplit] for ... |
994,197 | bd3bce261447055f2873445b966882d92479bc83 | import numpy as np
import tensorflow as tf
from tensorflow import keras
class QSP(keras.layers.Layer):
"""Parameterized quantum signal processing layer.
The `QSP` layer implements the quantum signal processing circuit with trainable QSP angles.
The input of the layer is/are theta(s) where x = cos(theta),... |
994,198 | 03dfafb622fefd7d2410132ecbecc766706fc4d0 | #!/urs/bin/env python
from argparse import ArgumentParser
import logging
from nltk import sent_tokenize, word_tokenize, pos_tag
from nltk.stem import WordNetLemmatizer
import psycopg2
logger = logging.getLogger()
logger.addHandler(logging.StreamHandler())
logger.setLevel(logging.INFO)
# This part-of-speech map doe... |
994,199 | acf2f19b60551fb41b336692c118666604dfc749 | """
modified by mtc-20
"""
import RPi.GPIO as GPIO
import time
class AlphaBot(object):
def __init__(self,in1=12,in2=13,ena=6,in3=20,in4=21,enb=26,s1=27,s2=22):
self.IN1 = in1
self.IN2 = in2
self.IN3 = in3
self.IN4 = in4
self.ENA = ena
self.ENB = en... |
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