index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
997,900 | 98b5b340249219200457eb0d55f1c6d67775f5b1 | #! /usr/bin/env python
from tensorflow.contrib import learn
import tensorflow as tf
import numpy as np
def tokenizer(iterator):
"""Tokenizer generator.
Args:
iterator: Input iterator with strings.
Yields:
array of tokens per each value in the input.
"""
for value in iterator:
yield value
def ... |
997,901 | 02ff5bb01e006b5a0e9993ec7c2a8faf138ca06a | import random
import names
from itertools import cycle, islice, chain
import time
initial_decks = 3
initial_players = 4
initial_hand = 7
game_suits = ["Spades", "Hearts", "Clubs", "Diamonds"]
special_values = {
"A": 15,
"2": 20,
"8": 30,
"J": 10,
"Q": 10,
"K": 10,
"Joker": 50
}
class Card:
def __init__(self,... |
997,902 | 06791723f14d09a0b40ca6789b419e6a19669e82 | # Given an array nums of n integers where n > 1, return an array output such that
# output[i] is equal to the product of all the elements of nums except nums[i].
#
# Example:
#
# Input: [1,2,3,4]
# Output: [24,12,8,6]
# Constraint: It's guaranteed that the product of the elements of
# any prefix or suffix of the arra... |
997,903 | 927edb138e5a55ba0f1bf8a3386aceb77c6d9153 | class ContextSplitterStatus:
NotStarted = 1
Started = 2
Ended = 3
class ContextSplitter:
def __init__(self, context):
self.status = ContextSplitterStatus.NotStarted
self.context = context
def start(self):
self.status = ContextSplitterStatus.Started
return self.con... |
997,904 | e31d9ed50c35902d66be2cb39f91803ea9454963 | # -*- coding: utf-8 -*-
"""
The Epilepsy Ecosystem's data has dropout; intervals in which the sensors failed to pick up signals.
They are identified by all sensors reading 0 (which was numerically mapped to 0.034). This script
extracts uninterrupted segments which we can draw images from safely
@author: Bananin
"""
im... |
997,905 | fccb6c7b9a9d4211d4e69aa1ebecbdc63e3fa5db | from django.urls import path
from .import views
app_name = "lists"
urlpatterns = [
path('', views.lists, name='lists'),
path('create/', views.list_create, name='create'),
path('<slug:slug>/', views.list_detail, name='list_detail'),
]
|
997,906 | 3f59271ddf5bb5ca7210debe63aae261a7f4c199 | """ You've built an inflight entertainment system with on-demand movie streaming.
Users on longer flights like to start a second movie right when their first one ends,
but they complain that the plane usually lands before they can see the ending.
So you're building a feature for choosing two movies whose total runtime... |
997,907 | 2f1a830e83c80bcb5e57a46890aa07638305f91d | """
class Phone:
def __init__(self, height, display, camera, version):
self.height = height
self.display = display
self.camera = camera
self.version = version
oppo = Phone(6, 5.7, 13, 7)
vivo = Phone(5.5, 5.8, 20, 8)
print(f"This is vivo display =>",vivo.display)
... |
997,908 | d6232c22f119b8c6edfcc7747f13c5999944a8cb | import datetime
import random
import uuid
from locust import HttpUser, task, between
from locust.contrib.fasthttp import FastHttpUser
class RealityTubeUser(FastHttpUser):
wait_time = lambda *args, **kwargs: 0
userId = None
email = ''
headers = None
host = 'https://reality-tube.net/'
def _inde... |
997,909 | 71eb2555faf009114c984c2cfc92bb407170fb42 | """Fixtures for testing mip app"""
import string
from typing import List
import pytest
from cg.apps.mip import MipAPI
@pytest.fixture
def valid_fastq_filename_pattern():
"""the pattern MIP file names should match"""
# 'xxx_R_1.fastq.gz and xxx_R_2.fastq.gz'
return r"^.+_R_[1-2]{1}\.fastq.gz$"
def _ful... |
997,910 | 1592f15714eafd518c2944b7b32abc795c47aadb | import re
import enchant
dictio = enchant.Dict("en_US")
def get_binary(mystring):
out = []
foo = len(mystring)
num = ""
for i in range(0,foo):
num += "0"
out.append(num)
while "0" in num:
num = bin(int(num,2) + 1)[2:]
while len(num) < foo:
num... |
997,911 | 835b67ffb0534a463b18ffcc01affb6434903cd8 | #takes a list of words and returns numbers corresponding to the words' lengths
def idk(lst):
numbers = []
for x in lst:
f = len(x)
numbers.append(f)
return numbers
i = ["hi", "westside", "just", "later", "opposite"]
print(idk(i))
|
997,912 | 599e9f50e2805cb123265cd1caadc27117096252 | APP_ENV = 'local'
DEBUG = True
SQLALCHEMY_DATABASE_URI = 'postgresql://localhost/food'
SQLALCHEMY_TRACK_MODIFICATIONS = False
APP_NAME = 'NUTRITION_CHECK'
APP_SECRET = 'fghjkl23456fcgvhbjnkmlrtyuio456723456'
|
997,913 | c2a7661f5a1888930192a1ceb916ba01cfb6a29f | from swampy.TurtleWorld import *
from polygon import *
def flower(turtle, petals, radius, angle):
for i in range(petals):
petal(t, radius, angle)
lt(t, 360.0/petals)
def petal(turtle, radius, angle):
for i in range(2):
arc(turtle, radius, angle)
lt(turtle, 180-angle)
world =... |
997,914 | 5451b0059d7cfb6ce31e017b3be2947cf083513d | # streamlit app demo
#
from collections import namedtuple
import streamlit as st
import pandas as pd
import numpy as np
import tensorflow as tf
from googletrans import Translator
st.title("IChiba Category Wizard")
DATA_URL = "data/ichiba_test_strict_100316_more.tsv.gz"
LABEL_CSV = "data/labels.csv"
Lab_name = namedtu... |
997,915 | 1ef29d08abef2ecf246cd6bfbbab0077f4a55e08 | import math
def func(n, arr):
delta = 0
for i in range(len(arr)):
for j in range(len(arr)):
if i == j:
continue
sum_before = arr[i] + arr[j]
d2 = (arr[i] + arr[j]) * (arr[i] + arr[j]) - 4 * arr[i] * arr[j]
# print(f"d2 = {d2}")
... |
997,916 | 16061d2153892f72e010cc99ed5c30f464ddbb59 | import random
import string
import time
def random_string_generator(size=10, chars=string.ascii_lowercase + string.digits):
return ''.join(random.choice(chars) for _ in range(size))
current_time_milli = lambda : int(round(time.time() * 1000)) |
997,917 | b6c94c34952b4d3595d5de032a3d58b0aa3f3afd | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import operator
df = pd.read_csv('http://web.mta.info/developers/data/nyct/turnstile/turnstile_180630.txt')
df.columns = df.columns.str.strip()
df['real_entries'] = df['ENTRIES'].diff()
df['real_exits'] = df['EXITS'].diff()
df.loc[df['real_entri... |
997,918 | 75d421d04b665eb92406d486d214c25bd76d4834 | import re
import numpy as np
import gensim
import requests
import json
from scipy import spatial
data = []
with open('./avas_list.txt') as inputfile:
for line in inputfile:
data.append(line)
print("Loaded function data")
model = gensim.models.KeyedVectors.load_word2vec_format('./GoogleNews-vectors-negati... |
997,919 | a4fd04facdc2e0bef0d84215724b4f393d919b03 | import copy
import torch
import pytest
from transformers import AutoModel
from allennlp.common import Params
from allennlp.modules.transformer.attention_module import T5Attention
from transformers.models.t5.configuration_t5 import T5Config
from transformers.models.t5.modeling_t5 import T5Attention as HFT5Attention
... |
997,920 | 5cbb3bf73b4f83885b6c5e22369680c7e5eaa815 | import hdf_pull
import netCDF_build as netcdf
from mpl_toolkits.basemap import Basemap
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
import csv
files = hdf_pull.file_path("\Aqua")
#print files
"""plotting frp with frp intensity colour for single hdf file"""
def plot_fire(FP_da... |
997,921 | e68fccf24607b81344e350c18565fe43e4f364fe | ## Randy: This run took about 4 hours, as it is set up now.
"""
Module to set up run time parameters for Clawpack.
The values set in the function setrun are then written out to data files
that will be read in by the Fortran code.
"""
import os
from pyclaw import data
import numpy as np
#--------------------------... |
997,922 | f465bcc50bd3cb5bfc28b1d3466c52f4a13d7761 | #!/usr/bin/python
# -*- coding: UTF-8 -*-
import ConfigParser
import os
import datetime
import random
def gen_dates(base_date, days):
"""
Generate days list
:param base_date: start date
:param days: how many days to generate the list
:return: days list
"""
day = datetime.timedelta(days = 1... |
997,923 | b6984e396ee93d1afb8dceb9c2e7397ca1217c76 | ##################
### original author: Parashar Dhapola
### modified by Rintu Kutum
##################
import numpy as np
import sys
import os
import matplotlib.pyplot as plt
import matplotlib as mpl
from scipy import ndimage
import math
#########################
chrom_indices = {}
chrom_lens = []
bin_size = 1000
with... |
997,924 | e6e73ef7f06588ab788a0e17deb9676564519012 | #!/usr/bin/env python3
import argparse, sys, numpy, os
import matplotlib.pyplot
import datetimelib
import photometrylib
import generallib
import astropy
import subprocess
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Loads a FITS file bins it.')
parser.add_argument('inputfile', type=str, n... |
997,925 | 5703b52b97e054c50e5561188bf815367434807b | from curtain import Curtain, frame_length
import sys
from plugin import Plugin
import time, os, math
import midi
plugins = []
for filename in os.listdir('plugins'):
name, extension = os.path.splitext(filename)
if extension == '.py' and name != '__init__':
module = __import__('plugins.' + name).__dict_... |
997,926 | 8a2fec0cf510431b7b6a4cb7f9916452ec64ecbc | import Tkinter
import tkMessageBox
import gridbutton
top = Tkinter.Tk()
top.withdraw()
class Run():
def _init_(self,fona):
self.fona = fona
self.screen_lock = False
def make_call(self):
if Entry.get() > (1+1+1+1+1+1+1+1+1+1):
self.valid_call=True
if self.valid_c... |
997,927 | db9b5e89312b3b3ac8875c431046aea5d947c424 | import sys
"""
This function take the sequence input and output the complementary sequence in 5' to 3' fashion.
output[complementary] = wcc[input_sequence]
Example:
wcc('TAGCTACTCAGACGACCAGTAGATAAAAG') will give "CTTTTATCTACTGGTCGTCTGAGTAGCTA"
"""
def comp(base):
if base == 'A':
baseC = 'T'
if base == 'G':
... |
997,928 | b292ff349c00b8de5db9e8a4fa485669ff32c750 | from bs4 import BeautifulSoup
import requests
import re
from django.db import models
class ScrapeLinkdin(models.Model):
location = None
fieldToSearch = None
url = None
jobPosting = []
def __init__(self,searchTerm):
# This is just a variable I set to test it, however the website should hav... |
997,929 | e754829a029427a0e65ab21e55f6dc8bce76b282 | import numpy as np
import matplotlib.pyplot as plt
from fkpp_vect1D import main_FD_Solver
N = 1000 # resolution
L = 1000 # box size units (m)
dt = .001 # time step size
gamma = 1.0 # growth rate
tend = 1000 # tending time in (s)
t_trans = 50
saves = False
verbose = False
save_freq = 1000
D_arr = np.linspace(0.01... |
997,930 | 44c3a86c579a0637cdceb16537d535b7971b609a | import math
def solution(progresses, speeds):
answer = []
N = len(progresses)
now_day = -1
cnt = 1
for i in range(N):
progress = progresses[i]
speed = speeds[i]
DONE = 100
remain = math.ceil((DONE - progress) / speed)
if now_day == -1:
now_d... |
997,931 | 0ffb656967a1c903ca2289973f35cc0245a09368 | def main():
import csv
from itertools import islice
reptotal=0
demtotal=0
demlist=(1961,1962,1963,1964,1965,1966,1967,1968,1977,1978,1979,1980,1993,1994,1995,1996,1997,1998,1999,2000,2009,2010,2011,2012,2013)
replist=(1969,1970,1971,1972,1973,1974,1975,1976,1981,1982,1983,1984,198... |
997,932 | 9b8328094fd054eb4f989e976d7a70d1e02d05a8 |
import random
from bottle import Bottle, template, static_file, request, redirect, HTTPError
import model
import session
app = Bottle()
# get the css file and apply to all the html
@app.route('/static/<filename:path>')
def static(filename):
return static_file(filename=filename, root='static')
# this is for ind... |
997,933 | a4b2f0dd236722c61b37dde913d05573e6d635d4 | import pandas as pd
import numpy as np
import math
import copy
import QSTK.qstkutil.qsdateutil as du
import datetime as dt
import QSTK.qstkutil.DataAccess as da
import QSTK.qstkutil.tsutil as tsu
import QSTK.qstkstudy.EventProfiler as ep
import sys
import csv
def bollinger_value(price_array, ldt_timestamps, bollinge... |
997,934 | 36719a627701d3baeedf29460088f2835acdeecc | # Generated by Django 3.1 on 2021-08-12 06:32
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('dataapp', '0013_auto_20210812_0848'),
]
operations = [
migrations.AlterField(
model_name='delivery',
name='year',
... |
997,935 | fb93cb9321c4536ab8d2cfa5a6b0f044247c4d6e | from difflib import *
class Op(object):
def __init__(self, delete=False, insert=[]):
self.delete=delete
self.insert=insert
def rep(self):
return (self.delete, tuple(self.insert))
def __repr__(self):
return "Op({0})".format({'delete':self.delete,
... |
997,936 | 77e1de7e2eb393dfcb6bd14c708faab6c9086ef2 | # vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright 2013 VMware Inc.
# All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/lice... |
997,937 | 504e061bcd80fcbd66d098f8966587c4d957dc51 | import re, string
import sys, math, operator
from collections import defaultdict
from decimal import Decimal
import numpy as np
import mixem
import matplotlib.pyplot as plt
import itertools
alphabet = "qwertyuiopasdfghjklzxcvbnm0. #"
all_trigram = [''.join(i) for i in itertools.product(alphabet, repeat = 3)]
#Remove ... |
997,938 | 058e8c63290a4c4d029971b03c36422030b9ec32 | from django.contrib.auth.backends import ModelBackend
from .models import CashierProfile
from django.contrib.auth.models import User
class PasswordlessAuthBackend(ModelBackend):
"""Log in to Django without providing a password, just a cashier code/login number
"""
def authenticate(self, request, rest_id, ... |
997,939 | b4407e499f9583f1e0a5dd118d465fe18fe7e38a | import os
import torch
import numpy as np
from scipy.spatial import distance_matrix
dataset = 'diab'
model_info = 'lstm+tanh'
dirname = '../outputs/' + dataset + '/' + model_info
dirs = [d for d in os.listdir(dirname) if
'enc.th' in os.listdir(os.path.join(dirname, d))]
# print(dirs)
distance_matrices = []
... |
997,940 | 05943fdff745512181fdcf90ac271b5d56a6697a | # -*- coding: utf-8 -*-
"""
Created on Fri Jul 19 10:50:22 2019
@author: Manuel
"""
def calcular_mochila(peso_maximo, *monton):
numobj=0
numobjquedarse=0
valpess=[]
mochila=[]
quedarse=[]
descartes=[]
dejar=[]
for objeto in monton:
valpes=objeto["valor"]/objeto[... |
997,941 | cf5975dd2e67a00515c1256c2bf277ae67fd8802 | import logging
from dataclasses import dataclass, field, asdict
from datetime import datetime
from typing import Callable, Optional, Dict, Tuple, Any, Type, List, Union
import yaml
import torch
import torch.nn as nn
import torchvision
from action_recognition import models
# Initiate Logger
logger = logging.getLogg... |
997,942 | 691ceb833dd3f0d6591a9773820d261052276553 | DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': ':memory:',
},
}
SECRET_KEY = 'ishalltellyouonlyonce'
INSTALLED_APPS = (
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.sites',
'django.contrib.messa... |
997,943 | 25f13848f9f55c6114521dcca043d43e2fe233f7 | from datetime import datetime
from flask import render_template, redirect, url_for, flash, abort, request, jsonify
from flask_login import logout_user, login_required, login_user
from autoP.models import User, load_user, query_results
from forms import LoginForm, RegistrationForm, SearchForm
from . import app
@app.r... |
997,944 | 18d25718ec8d10097b4c9d0a54a03b783d240270 | # set up relays
from gpiozero import OutputDevice
import time
import sys
# devices specified by GPIO number
# gpiozero.OutputDevice(pin, *, active_high=True, initial_value=False, pin_factory=None)
air_pump = OutputDevice(18, False)
nutrient_pump = OutputDevice(23, False)
solenoid = OutputDevice(24, False)
l_board = Ou... |
997,945 | a6bbf5eb88d39c1519d258ce16f0af99236f162f | from django.db.models.signals import post_save
from djblets.extensions.hooks import SignalHook
from djblets.integrations.integration import Integration
from djblets.integrations.manager import IntegrationManager
from djblets.integrations.tests.models import IntegrationConfig
from djblets.integrations.tests.testcases i... |
997,946 | e2bd5a633e4a63b23968441999cf1599f754a3e0 | from chunk import make_all_sentences_chunks_list
import pydot_ng as pydot
F_NAME = "neko.txt.cabocha"
"""
びにおもちろいわと 名詞,一般,*,*,*,*,*
云う 動詞,自立,*,*,五段・ワ行促音便,基本形,云う,イウ,イウ
のようなものもちゃんと管理する
"""
def _45():
contents = make_all_sentences_chunks_list(F_NAME)
verb_case_patterns = []
for sente... |
997,947 | eb536f14768417698ae24195bbf1684852dc7299 | special.gdtr(a,b,x) |
997,948 | 55497f19f059c7a12b13501ceb1afe5b05f08df0 | # Isabella Gomez A15305555
# ECE143 HW5
# imports:
import re
def get_average_word_length(words):
'''
This function takes in a list of words and computes the average length
of the words in the list.
:param words: list of words
:return: average length of the words in the list
'''
# check t... |
997,949 | 502fe5eebd8e47ddc93500420a165e1117782882 | #!/usr/bin/python3
class MyInt(int):
def __eq__(self, val2):
return self - val2 is not 0
def __ne__(self, val2):
return self - val2 is 0
|
997,950 | 3ed6dc7fc0b4136e4f1aa5f8d999f11b8c85d00c | import json
import traceback
from db_utils import DB
from kafka import KafkaConsumer, TopicPartition
from random import randint
from time import time, sleep
from field_validations import apply_field_validations
from chained_rules import run_chained_rules
from producer import produce
from business_rules_api import ap... |
997,951 | 6103bfe71f3902e7aecf01904c4a375a20713a47 | #syntax:
num = 20
if num < 10:
print("less than")
elif num > 10:
print("greater than")
else:
print("equal to")
#None returns false
#empty objects (string, etc) return false
#Any non-empty object returns true
string = ""
if string:
print("string is non-empty")
else:
print("string i... |
997,952 | c249104133c1defa2d08e44347762ed8d011890f | import time,threading
"""
多线程
"""
def loop():
thread_name = threading.current_thread().name
print('Thread %s is running...' % thread_name)
n = 0
while n < 5:
n += 1
print('Thread %s >>> %d' % (thread_name, n))
print('Thread %s ends.' % thread_name)
thread_name = threading.current_t... |
997,953 | 48adabe462019ee5c264a8450be820aa147ca697 | # -*- coding: utf-8 -*-
import time
import pika
def callback(channel, method, properties, body):
print("****** received: %r" % body)
time.sleep(body.count(b'.'))
connection = pika.BlockingConnection(pika.ConnectionParameters(host="localhost"))
channel = connection.channel()
channel.queue_declare(queue="hel... |
997,954 | f5e9503aa86286a887c1d0b137b9f05edbbce624 | import player
# required to make imports work properly
import sys
sys.path.append("../")
from game import ChessGame
def main():
play_game()
def play_game():
p1 = player.RandomComputer()
p2 = player.BasicMinimax()
game = ChessGame(p1, p2)
game.play()
if __name__ == "__main__":
main() |
997,955 | 319a8a297bfcaf203c0b15af46a4d3376db93f4f | import pygame
import constants
import objects
class Level():
entities = None
enemy_list = None
camerafocus = ""
background = None
def __init__(self, player, game):
self.game = game
game.entities = pygame.sprite.Group()
game.enemygroup = pygame.sprite.Group(... |
997,956 | 211b30794b165ac5728a5dbae3d1ef6838e82511 | # Generated from visualg.g4 by ANTLR 4.8
from antlr4 import *
from io import StringIO
from typing.io import TextIO
import sys
def serializedATN():
with StringIO() as buf:
buf.write("\3\u608b\ua72a\u8133\ub9ed\u417c\u3be7\u7786\u5964\2?")
buf.write("\u0249\b\1\4\2\t\2\4\3\t\3\4\4\t\4\4\5\t\5\4\6\t... |
997,957 | 04a744b251db17927d1fe8bbf0f3a06d3f72d046 | def pytest_configure(config):
config.addinivalue_line(
"markers", "profile_databricks_cluster"
)
config.addinivalue_line(
"markers", "profile_databricks_sql_endpoint"
)
config.addinivalue_line(
"markers", "profile_apache_spark"
)
|
997,958 | eec04b5a5ab371d5a12797031fb9bc4f37cf11b9 | '''
Created on Aug 3, 2016
@author: YLin2
'''
import sys
import os
from xml.dom import minidom
def fix_class(class_node):
valid_lines = 0
covered_lines = 0
for lines_node in class_node.getElementsByTagName('lines'):
for line in lines_node.getElementsByTagName('line'):
if not line.hasA... |
997,959 | 899d859db131b32ea251b6a03cf7743f57e721f1 | # -*- coding: utf-8 -*-
# ridgeRegression.py
import numpy as np
import matplotlib.pyplot as plt
def rssError(yArr, yHatArr):
"""
函数说明：求平方误差
"""
return ((yArr-yHatArr)**2).sum()
def loadDataSet(fileName):
'''
函数说明：数据导入函数
参数：fileName: 数据存放的路径
返回：dataMat: 数据特征集
labelMat: 数据标签... |
997,960 | 0d52a5764b5f9bb3a04a48414f00c1ebc9c8fc5f | import pygame as pg
import numpy as np
import sys
from SoundManager import SoundManager
from MainMenuUI import MainMenuUI
from SettingsUI import SettingsUI
from GameUI import GameUI
from GameController import GameController
def main():
WIDTH = 1186
HEIGHT = 964
sm = SoundManager("sounds/")
pg.init()
... |
997,961 | cc5aa39b0f2c6d2da5e25b08f812ce9d46ae34bd | import RPi.GPIO as GPIO
import threading
interval = 0.01
class Key:
def __init__(self, eventCallback, shutdown):
GPIO.setmode(GPIO.BCM)
GPIO.setup(4,GPIO.IN,pull_up_down=GPIO.PUD_UP)
self.timerStart(interval=interval)
self.eventCallback = eventCallback
self.shutdown = shutdown
self.pressed = ... |
997,962 | cc476955321c42bc083811469fc42858ac5cdda9 | # coding=utf-8
# Copyright 2022 Meta Platforms authors and The HuggingFace Team. 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/LI... |
997,963 | c237f3aa5fe6051647480a1a4d5af2a8bc8801e5 | from django.urls import path,re_path
from .views import *
urlpatterns = [
re_path('^register/',register_views),
re_path('^logout/',logout_views),
re_path('^login/',login_views),
] |
997,964 | 5d36f91fa11951340e82e4f2d063bb1d6e703526 | #This program looks at the string Repetition Operator (*)
str1="Hello "
print(str1*300)
|
997,965 | 7623b5dd5577bde6522289a45b857b13717c87cf | from numpy import *
from collections import Counter
import torch
import pickle
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
def build_vocab(texts, n=None):
counter = Counter(''.join(texts)) # char level
char2index = {w: i for i, (w, c) in enumerate(counter.most_common(n), start=4)}
... |
997,966 | c47f5485b92ce610ed5321025dae35b2074b6a8d | from clarifai.rest import ClarifaiApp
import json
# name, grade, 3 bullet points, source
dictionary = {'Pepsi': {0: 'D',
1: 'PepsiCo has managed to decrease its total climate footprint from 2014 to 2017.'
'PepsiCo scores poorly because the brand remains secretive in i... |
997,967 | 01bb8d5af7d73c86604f15b33ec6f9e0eb692ce0 | #!/bin/python3
import unittest2 as unittest
from jumping_on_the_clouds import jumpingOnClouds
"""
https://www.hackerrank.com/challenges/jumping-on-the-clouds/problem
Jump 1 or 2 steps on the cloud ( marked by 0).
The thunder clouds (marked by 1) have to be avoided.
"""
class Test_jumping_on_clouds(unittest.TestCa... |
997,968 | 46e20fc640690c09ff6fb889ce1d43eb0bda0417 | from pathlib import Path, PurePosixPath
import fnmatch
import hashlib
from cw.directory_walk import directory_walk
from io import StringIO
import os
import re
from typing import Union
class DirectoryChecksum:
"""
Class used to generate a file containing the sha256 hashes of all files in a
directory and i... |
997,969 | fd1d33b3febc12d1a74421bd522b5d81483ccfa7 | from xlutils.copy import copy
import xlrd
import xlwt
import time
class Excel_dx():
def du (self,h,l):
#path = 'F:/untitled/我的坚果云/git/zentao/comm/case.xls'
path = './comm/case.xls'
workbook = xlrd.open_workbook(path)
data_sheet = workbook.sheets()[0]
ss =data_sheet.cell_val... |
997,970 | 9a53f7d6601c42b0fe4216c202d5e0abeeefd993 | """
Import the datas from the json dataset file and return the big array that contains it
"""
import simplejson as json
datasetPath = '../../find\ relationships/dataset/yelp_academic_dataset_business.json'
heatMapData= open("heatMapData.html", "w")
with open(datasetPath) as fin:
for business in fin:
line_... |
997,971 | d7557c330cf64c830e270314d5d0c21d02da9881 | import tensorflow as tf
from tensorflow.contrib import learn
from tensorflow.contrib.learn.python.learn.estimators import model_fn as model_fn_lib
class SampleArchitecture2(object):
height = 32
width = 32
channels = 3
learning_rate = 0.002
@classmethod
def get_model(cls, features, labels, mode... |
997,972 | cf4ab6bf374ca62c3356a4efff69683d890c7f62 | class Employ:
def __init__(self, empno, name, sal):
self.empno = empno
self.name = name
self.sal = sal
def __str__(self):
return "Empno %d, Name %s, Salary %d " %(self.empno, self.name, self.sal)
emp = Employ(1, "Satish", 88555)
print(emp) |
997,973 | 142a0b26fcc0a5a799f6b488c430c6f340060d0c | class Node:
def __init__(self, data):
self.data = data
self.left = None
self.right = None
def leftLeavesSumRec(root, isLeft, summ):
if root is None:
return
#Check whether this node is a leaf node and is left
if root.left is None and root.right is None and isLeft == True... |
997,974 | 0576bb7bba6319c9ce6a1e5f8c8e83802a52e694 | """
http
~~~~
A module to handle making HTTP requests.
"""
import requests
# Exceptions.
class AuthenticationError(RuntimeError):
"""The request received a 401 error from the server."""
class NotFoundError(RuntimeError):
"""The request received a 404 error from the server."""
class ServerError(RuntimeError... |
997,975 | 9e5c5809380697d4fb91d89c4875185934319a7b | #Create Cluster
import sys
import os
sys.path.append(os.path.abspath(__file__ + '/../../'))
from Utils.utils import Utils
import pprint
class CreateCluster:
def __init__(self):
print('Create Clusterr')
self.utils = Utils(sys.argv)
self.hostname = sys.argv[1]
def create_cluster(self):
... |
997,976 | d7547c21b0af5cb982c0ee22922d8872cede91af | # Generated by Django 3.1.7 on 2021-06-28 16:01
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('vdapp', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='index',
name='thumbnail',
f... |
997,977 | 5f48880739e6f88724874f34104a445f72aca9bc | ## Create acceptance uncertainties for the ggH QCD uncertainties (i.e. the so called 9NP scheme)
## by renormalizing the default inputs by total-xsection variation:
##
## acc_variation = variation.Scale( sum_of_weights_nominal / sum_of_weights_variation )
##
## where sum_of_weights_nominal and sum_of_weights_variatio... |
997,978 | f72c29d04287f930ac9c5163771c7d2ff9cbf9b7 | import sys
import os
import shutil
import re
def delete_files(directory, file_type):
regex = "[.]" + file_type
for dir_name, folders, dir_files in os.walk(directory):
for files in dir_files:
if re.search(regex, files):
print("directory: ", dir_name)
print("... |
997,979 | 8b8242e8c578d62c4cef8dc410f721064c4d9224 | import ROOT
from ROOT import TGraph,TColor
from array import array
import CMS_lumi
from operator import itemgetter
ROOT.gROOT.SetBatch()
hexcolor=["#1f77b4", "#ff7f0e", "#2ca02c", "#d62728", "#9467bd", "#8c564b", "#e377c2", "#7f7f7f", "#bcbd22", "#17becf"]
intcolor=[TColor.GetColor(i) for i in hexcolor]
x_13,y_th_13,y... |
997,980 | 65859cb79891dc1caf4dd0ac428569c4d94300d1 | """Tool used to generate a signal according to the model chosen.
Also extracts measurements and parameters for the DCS-AMP framework to run
with.
"""
from typing import List, Tuple
import numpy
class SignalGen:
def __init__(self, **params):
"""Initialize a set of signal parameters for later generation."... |
997,981 | dc009dee1a4284bf16e96572971bda5157446677 | # This is an auto-generated Django model module.
# You'll have to do the following manually to clean this up:
# * Rearrange models' order
# * Make sure each model has one field with primary_key=True
# * Remove `managed = False` lines for those models you wish to give write DB access
# Feel free to rename the mode... |
997,982 | a9fb5c229e72d086f976c014a516d4de1f15d3a0 | from urllib.request import quote
from django.conf import settings
from django.contrib.contenttypes.fields import GenericForeignKey, GenericRelation
from django.contrib.contenttypes.models import ContentType
from django.core.urlresolvers import reverse
from django.db import models
from django.db.models.signals import p... |
997,983 | 7b1e2894c30e9bc9b7d74af96b404a563eb00989 | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'ui_sublayersdialog.ui'
#
# Created by: PyQt5 UI code generator 5.9.1
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_SublayersDialog(object):
def setupUi(self, SublayersDialo... |
997,984 | aa62987f1ef2b3e511fc5e64673eb9d63017183e | import numpy as np
from config_loader import config
class Block:
def __init__(self, spawn_point):
self.FIELDWIDTH = config['FIELD-WIDTH']
self.FIELDHEIGHT = config['FIELD-HEIGHT']
p_shapes = self._possible_shapes()
self.shape_id = np.random.randint(0, len(p_shapes))
self.sh... |
997,985 | 4978e75295e4f0f545b6565ca73863ef80d259fe | #!/usr/bin/env python
import re
import sys
import time
import requests
import logging
import hookio.keys
from six.moves.html_parser import HTMLParser
from six.moves.html_entities import name2codepoint
from six import unichr
log = logging.getLogger(__name__)
max_retries = 3
class RolesParser(HTMLParser):
roles = ... |
997,986 | 1eabe6a9b2439b90e81235744a5f50faf8d51be0 | import functools
import logging
import os
import pandas as pd
import time
from dotenv import load_dotenv
from luigi import Target
from pathlib import Path
from pymongo import MongoClient, ASCENDING, DESCENDING
from utils.constants import ENV_PATH, TRENDS_DIR
load_dotenv(dotenv_path=ENV_PATH)
MONGO_SERVER = os.envir... |
997,987 | 0af39d5277243cb274a959f2ccd3fec7ae374600 | from nose.tools import assert_equal
from pbfalcon import gen_config
import pprint
def test_get_falcon_overrides():
text = 'three=four; one = two;'
overrides = gen_config.get_falcon_overrides(text, 'foo')
got = pprint.pformat(overrides)
expected = "{'one': 'two', 'three': 'four'}"
assert_equal(expec... |
997,988 | 39b5a9b3786d9e263dccb10622850ad6165b398f | import os
import argparse
import utils.drive_utils as drive_utils
def main(params) -> None:
service = drive_utils.build_service("ro")
if params.init:
return
if params.all:
drive_utils.download_all(service, params.out_dir, verbose=not params.silent)
return
print(str(... |
997,989 | bce41a3d9031305c227db03b0a6be07943b9fa3e | #!/usr/bin/python
import os
print ("Hello Fuck")
os.system('ipconfig')
|
997,990 | 5732c007daae78bb0b6e3103345ccd3c60331372 | from flask import Flask, render_template, json, request, redirect
from flaskext.mysql import MySQL
from werkzeug import generate_password_hash, check_password_hash
from flask import session
app = Flask(__name__)
mysql = MySQL()
#MySql configurations
app.config['MYSQL_DATABASE_USER']='root'
app.config['MYSQL_DATABASE_P... |
997,991 | bb5c574e9480773b787bbbd7a75416fa6cc1ba24 | import numpy as np
np.random.seed(2020)
from multiprocessing import Pool
from tqdm import tqdm
import time
from controller.Controller import *
from settings import *
from controller.ES_trainer import ES_abstract
from scipy import stats
class NES_trainer(ES_abstract):
def __init__(self, loss_function, pop_size, le... |
997,992 | b9ca62d26862f952dcf88d5b507485dad74434cc | import tensorflow as tf
import pickle
import numpy as np
import datetime
from Match_LSTM import MatchLSTM
from Rnet import Rnet
import json
import os
import DataUtils
from nltk.tokenize import word_tokenize
from tqdm import *
from sklearn.metrics import accuracy_score
import random
tf.flags.DEFINE_string("mode", "pr... |
997,993 | afb3d765608ea9cc654f6f0bfd516c01c0a4c2c5 | #json模拟数据库
#在文本文件中保存json字符，通过文件读写来操作数据
import json
#创建文本文件（数据库文件）
# with open(r"user.txt","w") as f:
# users='[{"uname":"zhangsan","upwd":"123"},{"uname":"lisi","upwd":"123"},{"uname":"wangwu","upwd":"123"}]'
# f.write(users)
#读数据（查询）
def readData():
with open(r"user.txt","r") as f:
jsonData=f.read()
usersList=... |
997,994 | a01cbbbb7c1c0df31fb7abfe04731fa0debbc234 | from math import sqrt, atan
import numpy as np
import matplotlib.pyplot as plt
def mans_atan (x):
count = 0
a = 1.
sum = a
while count < 500:
count+=1
k = 1.*((2*count-1)**2)/(2*count*(2*count+1))*(x**2)/(1+(x**2))
a = a * k
... |
997,995 | 20711aee91f0832fdd080b9faa4f9c41f616fc52 | '''
Write a program that prints the numbers from 1 to 100. But for multiples of three print
“Fizz” instead of the number and for the multiples of five print “Buzz” and for the multiples
of both 5 and 3 print 'FizzBuzz'
'''
# My Solution:
for i in range(1,101):
if i % 5 == 0 and i % 3 == 0:
print('Fizzbuzz')
elif... |
997,996 | 7739a3cb19d1cf3fb597b7d763e3905c04ee5d10 | import numpy as np
from sklearn import datasets
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from 机器学习.逻辑回归.LogisticRegression import LogisticRegression
iris = datasets.load_iris()
x = iris.data
y = iris.target
x = x[y < 2, :2]
y = y[y < 2]
x_train, x_test, y_train, y_test = trai... |
997,997 | f02553385cce3676ff5c63051a76f91acb6ab05f | from collections import Counter
from typing import List
class Solution:
def isNStraightHand(self, hand: List[int], groupSize: int) -> bool:
hand.sort()
s = Counter(hand)
for v in hand:
if s[v] > 0:
ck = 0
while ck < groupSize and s[v + ck] > 0:
... |
997,998 | ca7c59c44c1e44fb614eb60d6a7ac243430ab7b8 | # -*- coding: utf-8 -*-
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Deleting model 'Object'
db.delete_table('core_object')
# Adding model 'Miracle'
db.create... |
997,999 | 83a9ff3168c7f5bb2c20122a9027dd3cb161dc34 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from setuptools import setup, find_packages
setup(
name='selectel_cloud_api',
version='1.2',
packages=find_packages(),
install_requires='selectel_cloud_api',
url='https://github.com/RustoriaRu/SelectelCloudApi',
license='MIT',
author='vir-mir',
... |
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