index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
998,600 | d2c51f9398e7d184ba0b0addd04601961d328551 | import numpy as np
from collections import defaultdict
from nn import Block, Vars, Dot, Softmax
from vocab import Vocab
from nn.utils import timeit
VOCAB = """i would like some chinese food
what about indian
give me czech
i like english food
ok chong is a good place
i have taj here
go to hospoda
tavern is not bad
.
... |
998,601 | c587f328b21be869a5ef072622c9f4dfc2942530 | f1,z=input().split()
print(f1+z)
|
998,602 | 7e39d189ba2f83311b918c4e1bc5c04b1e98a897 | import math
import numpy as np
from sklearn.model_selection import train_test_split
import os
def generateFormula1Values():
values = []
x = -1
while (x <= 1):
x = round(x, 3)
values.append(x)
x += 0.002
return np.array(values)
def generateFormula2Values():
values =[]
x ... |
998,603 | a9298a1eb713ef5af695abbe1f84aa78b32d5f46 | import math
class Queue:
def __init__(self, capacity):
self.capacity = capacity
self.storage = [None] * (self.capacity + 1)
self.head = 0
self.tail = 0
def enqueue(self, x):
if (self.head - self.tail) % len(self.storage) == self.capacity:
raise Exception("Qu... |
998,604 | f63dc97cb43a94f83999e1c991f91730898e455b | # -*- coding: utf-8 -*-
"""
webpanda.jobs.forms
~~~~~~~~~~~~~~~~~~~~~~~
Jobs forms
"""
from webpanda.forms import RedirectForm
from wtforms import IntegerField, StringField, BooleanField, SubmitField, HiddenField, TextAreaField, SelectField
from wtforms import validators
from wtforms.validators import Lengt... |
998,605 | 9b92cfe96bd7c6b03d756c9fb0ee4fba087f359d | #!/usr/bin/env python
#
# The output of parallel_summarize_job.sh can be very verbose and difficult to
# sift through to find jobs that were not correctly processed. This script
# scrapes the combined stderr+stdout stream of parallel_summarize_job.sh and
# highlights the darshan log file and error generated for jo... |
998,606 | 961a7d92e9dc418cd5c72f4453f31fd47de25936 | import numpy as np
from embed.spectrum import spectrum_map
from falkon import Falkon, kernels
import torch
from tqdm import tqdm
def mmd(seq1=None, seq2=None, emb1=None, emb2=None, mean1=None, mean2=None, embedding='spectrum', kernel='linear', return_pvalue=False, progress=False, **kwargs):
'''
Calculates MMD ... |
998,607 | c73fa600c5c1e275ba9b7e8e5beeb3969d24d6f7 | from django.db import models
class tImage(models.Model):
name=models.CharField(max_length=30)
data=models.CharField(max_length=350)
img=models.ImageField(upload_to = './img')
class Image(models.Model):
img = models.ImageField(upload_to = './img')
class Text(models.Model):
text = models.CharField(max_length=102... |
998,608 | f749806b18d56ad6e6c1bf57cdbbd7feaf1985e4 | k, n, w = map(int, input().split())
b = [i*k for i in range(1, w+1)]
a = sum(b)-n
if sum(b) > n:
print(a)
else:
print(0)
|
998,609 | 1cc8b7d60587079e9e306274d784fc44f8f1a95b | import sys
import os
import KratosMultiphysics.KratosUnittest as KratosUnittest
import test_helper
class KratosGeoMechanicsElementTypeTests(KratosUnittest.TestCase):
"""
This class contains benchmark tests which are checked with the analytical solution
"""
def setUp(self):
# Code here will be... |
998,610 | a3467e08ec49bd1bf69d7f174379fe036c27fbdf | a, r, n = map(int, input().split())
print(a * r ** (n - 1))
|
998,611 | bdbca3b1cee54f9f910db2c294ac4574ee2465f0 | from flask import Blueprint, render_template
from .models import TODOS
HelloApi = Blueprint('hello_api', __name__)
tasks = TODOS.query.order_by((TODOS.due_date).asc()).all()
@HelloApi.route('/<name>')
def hello_user(name):
return render_template('hello.html', user=name, tasks=tasks) |
998,612 | d894cabb566392b38c3d0166ec323223ea816135 | # -*- coding: utf-8 -*-
"""
Created on Mon Feb 1 14:36:21 2021
@author: USER
"""
from mcpi.minecraft import Minecraft as mcs
import time
mc = mcs.create()
while True:
time.sleep(0.5)
x,y,z = mc.player.getTilePos()
mc.setBlock(x,y,z,46)
mc.setBlock(x+1,y,z,152) |
998,613 | 6aeb20d294b3eea42a45da783e696d9b99c1af3b | # -*- coding: utf-8 -*-
"""
@author: 陳柏劭
"""
chi=int(input("國文:"))
eng=int(input("英文:"))
math=int(input("微積分:"))
pe=int(input("體育:"))
code=int(input("程式設計:"))
avg=round((chi+eng+math+pe+code)/5,2)
print("平均分數:"+str(avg))
dict1={chi:"國文",eng:"英文",math:"微積分",pe:"體育",code:"程式設計"}
list1=[chi,eng,math,pe,code]
mmm=max(list... |
998,614 | c06217c63dd9a7d955ae6f2545773486d84158b0 | '''
4. Write a Python program to accept a filename from the user and print the extension of that.
Sample filename : abc.java
Output : java
'''
file=input("Please enter a file full name: ")
type=file.split(".")
print("Your file type is: " + repr(type[-1]))
|
998,615 | c13a4d01c36b7ef5c2a55822094ed2f2955e8916 | from adk.adkplugin import ADKPlugin
import os
import logging
class InitPlugin(ADKPlugin):
def name(self):
return "init"
def describe(self):
return "Bootstrap the environment"
def run(self,appliance, settings):
for directory in ["log_directory", "output_directory"... |
998,616 | 41278aea992a4e1503ca559eb8eb917f986b123f | import numpy as np
import time
import imutils
import cv2
face_cascade = cv2.CascadeClassifier('C:/Program Files/Python37/Lib/site-packages/cv2/data/haarcascade_frontalface_default.xml')
low_cascade = cv2.CascadeClassifier('C:/Program Files/Python37/Lib/site-packages/cv2/data/haarcascade_lowerbody.xml')
video = cv2.Vi... |
998,617 | 531526065773954d044d4e1aafa9b831415e9d49 | import os
import tools
import sad
import feat
def run_bic(attr):
path = tools.set_path()
sadname = attr['sad']
featname = attr['mfcc']
bicname = attr['bic']
command = '%s/sbic --segmentation=%s --label=speech %s %s'
exe_cmd = command%(path['audioseg'],sadname,featname,bicname)
os.system(exe... |
998,618 | b8c41f7f3a8821c87ab32f39966039257534bd37 | from flask import Flask, render_template, request, Response, redirect
import json
from classes.Updater import Updater
from classes.DI import DI
from classes.Config import Config
app = Flask(__name__)
# pip install requests
# pip install json-rpc
@app.route('/bootstrap.css')
def bootstrap_css():
f = open('css/boo... |
998,619 | 4a90d79bf379b5d7d04dea6f73c7fc830cf80206 | # -*- coding: utf-8 -*-
"""Color vision deficiency."""
from .. import algebra as alg
from ..filters import Filter
from ..types import Vector, Matrix
from typing import Any, Optional, Dict, Tuple, Callable, TYPE_CHECKING
if TYPE_CHECKING: # pragma: no cover
from ..color import Color
LRGB_TO_LMS = [
[0.1788240... |
998,620 | 1266e9ad3afb8430c5ed0316d59ddc7e113b8a2d | # Dependencies
from flask import Flask,render_template, request, jsonify
import traceback
import pandas as pd
import numpy as np
import sklearn
import sys
import pickle
from models import nettoyage, trouve_journal
from sklearn.feature_extraction.text import TfidfVectorizer
app = Flask(__name__)
@app.route('/', method... |
998,621 | f8926b8296fa58c39ce4621a9cc42063239cb0ff | #https://docs.aws.amazon.com/code-samples/latest/catalog/python-ec2-ec2_basics-ec2_setup.py.html
import sys
import boto3
from botocore.exceptions import ClientError
import logging
logger = logging.getLogger(__name__)
# instantiation of the ec2 client
ec2 = boto3.resource('ec2')
def create_instance(
... |
998,622 | 1a4ef0731fe8151b66fe07193f1109251162ed1c | import time
import random
from chatbot_utils.redict import ReDict
import matplotlib.pyplot as plt
random.seed(time.time())
def plot(xdata, ydata, xlabel=None, ylabel=None, legend=None):
for y in ydata:
plt.plot(xdata, y)
if xlabel:
plt.xlabel(xlabel)
if ylabel:
plt.ylabel(ylabel)... |
998,623 | 9219074873b1a732562c6f3b02ede54e37991e04 | i=3
j=5
sum=0
while i<1000:
sum+=i
i+=3
while j<1000:
if j%3!=0:
sum+=j
j+=5
print(sum)
|
998,624 | cb7105c03b6af352b8d823f4b534a818ec291458 | ########################################################
########################################################
############# Automated music for work #################
########################################################
########################################################
##############################... |
998,625 | 3192285e57aeb8cec16c78edc2e3312bf5f252c4 | # Generated by Django 3.0.5 on 2020-08-07 07:04
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('pages', '0009_auto_20200806_2122'),
('pages', '0011_merge_20200807_1447'),
]
operations = [
]
|
998,626 | 5ac80c6af41c9ef9153628dbbb83638abb1cf62b | import os
import csv
import sys
from filelock import Timeout, FileLock
DATASET_NAME = 'echo-msk'
curr_dir_path = os.path.dirname(os.path.realpath(__file__))
dataset_folder_path = os.path.join(curr_dir_path, DATASET_NAME+"-dataset/")
def change_paths(find, replace):
for item in os.listdir(dataset_folder_p... |
998,627 | 802e6d40b5f1b1b305196a49ebb55b629e750550 | import datetime
import logging.config
import binascii
import json
import re
from os import linesep
import argparse
import psycopg2
from autobahn.twisted.websocket import (
WebSocketServerProtocol,
WebSocketServerFactory,
)
from twisted.protocols import basic
from twisted.internet import stdio
from config impo... |
998,628 | 76472c7222898b8576d25858dba37342a21ae6cb | # -*- coding: utf-8 -*-
"""
Created on Tue Mar 16 15:08:32 2021
@author: dingxu
"""
import os
listroute = [0 for i in range(22)]
#https://nadc.china-vo.org/psp/csp/calibration/dark/-35c/20200204/
#listroute[0] = 'https://nadc.china-vo.org/psp/csp/2020CSP/20201122/AutoFlat20201122/'
listroute[0] = 'https://nadc.chin... |
998,629 | f4a08702b6a25c2c191f8d1c7aa133e7e8016719 | mod_type = "cover"
nav1 = ""
nav2 = ""
nav3 = ""
headline = ""
background_image = ""
text = ""
|
998,630 | 49c4ee60e360a88910e83196c1ec7e3021117564 | from typing import TYPE_CHECKING
from sqlalchemy import Column, Integer, String, ForeignKey
from sqlalchemy.orm import relationship
from app.db.base_class import Base
from .search_category import Search_Category
if TYPE_CHECKING:
from .search_category import Search_Category # noqa: F401
class Cse(Base):
i... |
998,631 | 9db7d56b828f10c663f8441e76353e08c2e8307e | import boto3
from dotenv import load_dotenv
import os
load_dotenv()
db_connection = boto3.client(
'dynamodb',
aws_access_key_id=os.getenv('AWS_ACCESS_KEY_ID'),
aws_secret_access_key=os.getenv('AWS_SECRET_ACCESS_KEY')
)
tables = db_connection.list_tables()['TableNames']
... |
998,632 | 962b5f359a6ab494ba575d2415ad60a42d2234d3 | from flask import Flask, render_template, request, redirect, session
from flask import flash
from flask_bcrypt import Bcrypt
import re
from mysqlconnection import connectToMySQL
app = Flask(__name__)
app.secret_key="Super secret!"
bcrypt=Bcrypt(app)
@app.route("/")
def login_and_registration_page():
print("*"*80)
... |
998,633 | 6ebaa53a27a37174851e7bc570aa3cac79d514d6 |
import turtle
# Everything that comes after the # is a
# comment.
# It is a note to the person reading the code.
# The computer ignores it.
# Write your code below here...
turtle.penup() #Pick up the pen so it doesn’t
#draw
turtle.goto(-200,-100) #Move the turtle to the
#position (-200, -100)
#o... |
998,634 | 8a0868870a8c3e59955b06f742bad47ffc1f11d4 | from .client import GrpcClient, default_grpc_retry_predicate
from . import exceptions
__all__ = ["GrpcClient", "default_grpc_retry_predicate", "exceptions"]
|
998,635 | a65bf235da6fa89dde327f35a883999927db726f | from torchvision.datasets import VisionDataset
class DatasetMemory(VisionDataset):
"""
Args:
imgs (list of array)): List of images in the dataset
transform (callable, optional): A function/transform that takes in
a sample and returns a transformed version.
E.g, ``transf... |
998,636 | 7013a3d588b987e7878f585dc515c5bdd1dc3c1b | # Tai Sakuma <tai.sakuma@gmail.com>
from ..misc import mkdir_p
import os
##__________________________________________________________________||
class WritePandasDataFrameToFile:
def __init__(self, outPath):
self._outPath = outPath
def deliver(self, results):
if results is None: return
... |
998,637 | 1e3fe9b964c4dbb2c0e1d6e73863b02064836cd2 | import pytest
from praw.exceptions import ClientException
from praw.models import RemovalReason
from ... import IntegrationTest
class TestRemovalReason(IntegrationTest):
def test__fetch(self, reddit):
reddit.read_only = False
subreddit = reddit.subreddit(pytest.placeholders.test_subreddit)
... |
998,638 | 88ab9ceee12c1354662e64594301d32628283ac7 | '''crie um programa que peça a usuário dois numeros e faça a soma'''
print('insira dois numeros para fazer a soma')
primeiroNumero = float(input('Digite o primeiro numero: '))
segundoNumero = float(input('Digite o segundo numero: '))
soma = float(primeiroNumero + segundoNumero)
print(f'a soma entre {primeiroNumero} e... |
998,639 | a62fa3cc318ef9ca979812b2f5efbf20236ddbe4 | ################################################################
################# Preprocessing for the FNM ####################
################################################################
##
##
################################################################
## so far, only works on models with a single f... |
998,640 | 702b6afc44fe20c3bbeae700fdf3aec662dd923d | """
CP1404/CP5632 Practical
File renaming and os examples
"""
import shutil
import os
import string
# TODO: Fix this
def main():
"""Demo file renaming with the os module."""
print("Current directory is", os.getcwd())
os.chdir('Lyrics/Lyrics')
for dir_name, dir_list, file_list in os.walk("."):
... |
998,641 | b2f3d65c6e6bb1c2f8a7f5c3da4f378e32a2a392 | # I'm Yang. It's my first 2D game based on pygame.
"""
@author: Yang Zhou
"""
from Role import *
pygame.init()
# set screen
screen = pygame.display.set_mode((SCREEN_WIDTH, SCREEN_HEIGHT))
filename = 'image/shoot.png'
plane_img = pygame.image.load(filename)
ADDENEMY = pygame.USEREVENT + 1
pygame.time.set_timer(ADDE... |
998,642 | afcab117479b6d646285986541cd1217bf980e05 | WHITE = "WHITE"
BLACK = "BLACK"
ALPHABET = "ABCDEFGHIJKLMNOPQRSTUVWXYZ"
SIZE = 8
IMAGE_SIZE = 100
from enum import Enum
class Color(Enum):
RED = (255,0,0)
BLUE = (0,0,255)
GRAY = (100,100,100)
GREEN = (0,255,0)
WHITE = (255,255,255)
BLACK = (0,0,0)
BROWN = (150, 75, 0)
DARK_BROWN = (6... |
998,643 | 9ef7f1b4d8e9b71136a65e9f50c51f2ef80ed14d |
num1 = input("Enter a number: ")
num2= input("Enter another decimal: ")
result = int(num1) + float (num2)
print (result)
num3 = input("Enter a number: ")
num4 = input("Enter a number: ")
result= int(num3) + int(num4)
print (result)
num5 = input("Enter a decimal: ")
num6 = input("Enter a decimal: ")
... |
998,644 | 17e7aa04f4524509c516413de01b6013716a2fab | #!/usr/bin/env python
import os
import argparse as ap
import pandas as pd
from uc.batch import batch_process
def main():
parser = ap.ArgumentParser(prog='ucmod', description='Batch tool for converting UC spectra to IR spectra.')
# String valued arguments
parser.add_argument('-s', '--spectra', ... |
998,645 | 738c1a0d893fda11408cf750e1ca24ef8d4a99e3 | import os
import re
import pytest
from dazzler.system import Component, Aspect
from . import spec_components as spec
def test_simple_component():
# Sanity test.
class SimpleComponent(Component):
simple = Aspect()
component = SimpleComponent({'simple': 'foo'})
assert component.simple == 'foo... |
998,646 | 732ad8d1edc0bc4f591e96f2586472e3f05c53a7 | import os
basedir = os.path.abspath(os.path.dirname(__file__))
class Config:
WTF_CSRF_ENABLED = False
SECRET_KEY = 'this-place-we-should-put-some-random-key'
SQLALCHEMY_COMMIT_ON_TEARDOWN = True
SQLALCHEMY_TRACK_MODIFICATIONS = False
class DevelopmentConfig(Config):
DEBUG = True
SQLALCHEMY_D... |
998,647 | a584319b9fb02458acf2c0a44fae247f7121e0a4 | def BaseM2Num(N):
if N==0:
return [0]
else:
List = []
while abs(N)>0:
if N%2==0:
N //= (-2)
List.append(0)
else:
N = (N-1)//(-2)
List.append(1)
return List[::-1]
List = BaseM2Num(int(in... |
998,648 | 09434acb9fb42bc333181db80e092acbe740a897 | from pymongo import MongoClient
# passwo = "123"
# mail = "hyderdanyal@gmail.com"
def change(passwo, mail):
print(passwo)
client = MongoClient()
client = MongoClient('localhost', 27017)
db = client.vickytailor
authentication = db.authentication
# distinctemail = db['authentication'].distinct... |
998,649 | 8fe2cd3cdfcbba4c6ff57a79c586d772c2017749 | import turtle
import math
pen = turtle.Turtle()
pen.speed(0)
def starfish(n=None):
if n is not None and not n % 360:
return
if n is None:
n = 0
pen.forward(40)
pen.left(math.sin(n) * math.cos(n) + n)
starfish(n + 30)
starfish(179)
turtle.done() |
998,650 | 4c001ae1e9747c7d160982d1b391a6ea9ebe147d | # Buffer pH adjuster
# www.scienceexposure.com
# Ismail Uddin, 2015
# This has sections adapted from the sample code provided by Atlas Scientific
# provided here: http://atlas-scientific.com/_files/code/pi_sample_code.pdf
from rrb2 import *
import serial
rr = RRB2()
# pH value to set buffer at
ph_set = ("Input the va... |
998,651 | c548f8e9988c9f3517aa9f74c636841f2dfe6935 | #!/usr/bin/env python
import RPi.GPIO as GPIO
import time
import signal
import atexit
#atexit.register(GPIO.cleanup)
SERVO=5
GPIO.setmode(GPIO.BCM)
GPIO.setup(SERVO, GPIO.OUT, initial=False)
p = GPIO.PWM(SERVO,50) #50HZ
p.start(0)
time.sleep(1)
DURATION=0.15
SLEEP=0.02
#MAX=181
BEGIN=70... |
998,652 | 64eea34e525256a46d67d3b54d7fa15d366a9956 | # -*- coding: utf-8 -*-
"""
Created on Thu Jun 07 16:44:20 2018
@author: sdenaro
"""
# this file runs the Willamette operational model following the settings
# specified in the file settings.xml and plots/validates the results
import matplotlib.pyplot as plt
import pandas as pd
from pandas.plotting import autocorrel... |
998,653 | d468bb0121cf0657c2c67886bceeabf61d2f5e40 | #!/usr/bin/env python
import RPi.GPIO as GPIO
import time
def main():
print("starting")
GPIO.setmode(GPIO.BCM)
GPIO.setwarnings(False)
GPIO.setup(23, GPIO.OUT)
GPIO.setup(24, GPIO.OUT)
GPIO.output(23, True)
GPIO.output(24, True)
time.sleep(1)
GPIO.output(23, False)
GPIO.output(24, False)
GPIO.cleanup()
... |
998,654 | bfac0d0a6e7d813d9e057c4756c511c67b68397a | from django.db import models
# Create your models here.
# 用户
class User(models.Model):
class Meta:
db_table = '用户'
# id = models.AutoField(primary_key=True)
name = models.CharField(max_length=100, verbose_name='昵称', null=False)
accountNumber = models.CharField(max_length=50, verbose_name='账户', ... |
998,655 | 92e4ab011abffb9b796f8518c670f0a83fdaf241 | # https://gist.github.com/Arachnid/491973
import bisect
from abc import ABC, abstractmethod
from typing import List, TypeVar, Optional, Iterable, Generic
from typing_extensions import Protocol
class SupportsStr(Protocol):
"""
word object that's fed into the automaton
"""
def __str__(self) -> str:
... |
998,656 | bb56a6238020390962e1934330f07d533927a585 |
#import torch
#simport torch.nn as nn
#class InterpretableClassifier(nn.Module):
# def __init__(self, num_channels, num_classes, classifier='fc'):
# super(InterpretableClassifier, self).__init__()
# self.classifier = classifier
# self.fc1 = nn.Linear(num_channels, 200)
# self.relu1... |
998,657 | 7614c3c61385796174a8b8b8b9046a13c539dd70 | #################################################################################
##____ ___ _ _ ____ ___ _____ ____ ___
#| _ \_ _| \ | | __ ) / _ \_ _| |___ \ / _ \
#| |_) | || \| | _ \| | | || | __) || | | |
#| __/| || |\ | |_) | |_| ... |
998,658 | ad0ec59e8424b529a5c22a6686696056026056be | __doc__ = '''Comp 305 final project
Group No: 21
Members:
Altay Atalay
Andrew Bond
Project Name: Pokemon
'''
from util import *
def findLargestVertex(road_network: dict, cities_list: list) -> str:
if len(cities_list) == 0:
return
largestVertex = cities_list[0]
numEdges = len(road_network... |
998,659 | 153bfafba82c56af6f06cc116c59167f68b4dcd1 | def s2b(inp):
bn = []
for i in inp:
b = bin(ord(i)).replace("0b", '')
if len(b) < 8:
b = "0"*(8 - len(b)) + b
bn.append(b)
res = "".join(bn)
return res
def Hamming(in1, in2):
cnt = 0
res = []
for i,j in zip(in1, in2):
tmp = int(i) ^ ... |
998,660 | afd22bd66083abf964c0d35221b53cd24da63cf6 | import brickpi
import time
interface=brickpi.Interface()
interface.initialize()
motors = [0,1]
interface.motorEnable(motors[0])
interface.motorEnable(motors[1])
motorParams = interface.MotorAngleControllerParameters()
motorParams.maxRotationAcceleration = 6.0
motorParams.maxRotationSpeed = 12.0
motorParams.feedForw... |
998,661 | 4bee6657d95f3572ef4cc46d02da28db8c35ad68 | class Solution(object):
def lengthOfLastWord(self, s):
s = s.rstrip(' ').split(' ')
return len(s[-1]) if s else 0
|
998,662 | af8af7bcd1ff056e3ea46c7f2717b6b15b412bd7 | # -*- coding: utf-8 -*-
import unittest
from common.myunit import StartEnd
from page.home_page import MePage
class Test_Personal_Center(StartEnd):
def test_1message_center(self):
M=MePage(self.driver)
M.message_center()
self.assertTrue(M.check_message_center())
def test_2nickname_edit(... |
998,663 | c734611d0bcbc0bfb169c315180ae97c0bc1edc5 | from django import forms
from django.utils.translation import ugettext as _
from .models import Schedule
# class AddEventForm(forms.ModelForm):
# group = forms.CharField()
# lesson = forms.CharField()
# date_start = forms.CharField()
# date_end = forms.CharField()
# class Meta:
# model = ... |
998,664 | f299b8b9b91121d025f32d3c3a430f228efb8ac0 | # -*- coding: utf-8 -*-
import importlib
import logging
import os
import time
import click
from optimus.conf.loader import (
import_pages_module,
import_settings_module,
load_settings,
)
from optimus.interfaces.build import builder_interface
from optimus.interfaces.watch import watcher_interface
from opti... |
998,665 | 53c315ff20493b1039d4e02012cfd90faa5eb1ab |
import cv2
import numpy as np
import matplotlib.pyplot as plt
def cv2_bgr2rgb(bgr_img):
return cv2.cvtColor(bgr_img, 4) # cv2.COLOR_BGR2RGB = 4
def apply_clahe(gray_img, **clahe_kwargs):
clahe = cv2.createCLAHE(**clahe_kwargs)
return clahe.apply(gray_img)
def to_gray(cv2_img):
return cv2.cvtColor(c... |
998,666 | 412ae7da66d7727ed9f54d111ae8cfa7d78c4949 | """
Copyright 2018 EPAM Systems, Inc.
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... |
998,667 | 3b48506419868f284028b7601dc3cc951ae8f7d4 | # Copyright © 2020 Province of British Columbia
#
# 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 agr... |
998,668 | 64eccb6d1cb1b0c09842c7280ea894538db5b0ad | # -*- coding: utf-8 -*-
import math
import time
import gzip
import fileinput
import numpy as np
from sklearn import pipeline
from sklearn import linear_model
from sklearn.svm import SVC
from sklearn.cross_validation import KFold
from sklearn.cross_validation import LeaveOneOut
vectormap, vclass1, vclass2, vclass3 = {... |
998,669 | 5c4edf78948855410393d99b72cff21125c824ee | import pandas as pd
from pymongo import MongoClient
def getQueryData():
client = MongoClient('mongodb://onega:27017')
db = client.AutoRedGreen
collection = db.QUERY
data = pd.DataFrame(list(collection.find()))
return data
a = getQueryData()
print(a) |
998,670 | b10f8ee802f96d4e9286d31c524189053d17e4fb | import time
def signs_counter(sign,string):
if len(sign)>1:
return "Błąd"
counter=string.count(sign)
return counter,sign
string=input("Podaj łańcuch znaków: ")
sign=input("Podaj znak do znalezienia: ")
start=time.time()
result=signs_counter(sign,string)
end=time.time()
time=end-start
print("Jest",re... |
998,671 | 1c5af629fc50aeefbf1b54e1314ec5413035b4d3 | #1) TMDN_Dataset
#1.1) get genres & overview from movies
#1.2) tokenize data using BERT_Tokenizer
#1.3) make input_form : [CLS] + genres + [SEP] + overview + tagline + [SEP]
#1.4) make token_type_ids
#1.5) make attention_mask
#1.6) make input be tensor
#1.6.1) input_ids
#1.6.2) token_type_ids
#1.6.3) attent... |
998,672 | 986ec9cfcc90946821a777854cd7c4f68b220088 | import jwt
def generate_jwt(playload,private_key):
token = jwt.encode(
playload,
private_key,
algorithm='RS256')
return token |
998,673 | 5d8e23a7c87730bb3b2b5412917a6f82fd936b40 | import asyncio
import time
import wx
from wxasync import WxAsyncApp, StartCoroutine
from pynput.keyboard import Key, Controller
from bleak import BleakScanner, BleakClient
# Key assignments
KEY_JUMP = 'a'
KEY_LEAN_FORWARD = Key.right
KEY_LEAN_BACKWARD = Key.left
KEY_RED_TILE = 'b'
KEY_GREEN_TILE = Key.down
# Timing
B... |
998,674 | 21b7bd39ea2fe136bb35619d87ea213ef5e119fc | ad = 6
# print the numbers till ad from 0
i = 0
while i < ad:
i+=1
print(i)
|
998,675 | 362977621b8c476325e012195c95d02a8e0c6802 | # -*- coding: utf-8 -*-
"""
Created on Wed Dec 25 12:30:08 2019
@author: ja2
"""
# check version
import tensorflow
print(tensorflow.__version__)
|
998,676 | b6284a6d13790e391ce2c525aaac4cd57b56e75d | import numpy as np
import torch
from torch.utils.data import DataLoader
from torch.utils.tensorboard import SummaryWriter
import torchaudio.transforms as tfa_transforms
import timm
import data
import models
import yaml
import nussl
from ignite.engine import Events
from yaml import Loader
import os
import logging
from n... |
998,677 | b728afe0a8d6a1a213ece66a8a83f50345540b15 | #/usr/bin/env python
#import numpy as np
#import matplotlib.pyplot as plt
from matplotlib.colors import LinearSegmentedColormap
#http://stackoverflow.com/questions/3279560/invert-colormap-in-matplotlib
def reverse_colourmap(cmap, name = 'my_cmap_r'):
"""
In:
cmap, name
Out:
my_cmap_r
Explan... |
998,678 | 8d4c88dfd49d32dd20c35bebd6a865eb0801e646 | # -*- coding: utf-8 -*-
import cookielib
import urllib2
import urllib
import requests
import json
import base64
from poster.encode import multipart_encode
from poster.streaminghttp import register_openers
import inspect
from odoo.exceptions import ValidationError
class NodeAction:
DELETE_NODE = 0
UPDATE_NODE... |
998,679 | 1d50ab61b77d71231af030807b744e7e6175b80c | import Pixiv_Crawler
def on_PC(illust_id):
pixiv = Pixiv_Crawler.Pixiv()
res = pixiv.illust_detail(illust_id, is_pc=True)
details = res['body']['illust_details']
html = pixiv.illust_pages(illust_id)['body']
for data in html:
url = data['urls']['original']
pixiv.download(url)
... |
998,680 | 9be37e4bb8915964bd9a80caf7c9bc00fda723c5 | # -*- coding: utf-8 -*-
"""
Copyright [2009-2018] EMBL-European Bioinformatics Institute
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... |
998,681 | c4b8c35f22d2b294594a578f92e7c9684810f682 | import numpy as np
import pandas as pd
import os
import keras
from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation, Flatten
from keras.layers import Conv2D, MaxPooling2D, ZeroPadding2D
from keras.layers.normalization import BatchNormalization
from keras.initializers import he_normal
... |
998,682 | a07d9baf74d288dbc3ff5c059233299ee2d2f87b | #view for page three
from django.contrib.sessions.models import Session
from django.shortcuts import render
import requests
import time
import datetime
def bugThree(request):
request.session['sVar']['weight'] = "weight created from bug 3 m"
#request.session.modfied = True
ts = time.time()
timeS3 = ... |
998,683 | b98459ab9b2d888821b1a0e9b046f6721621034f | # flake8: noqa
import os.path as osp
import numpy as np
import yaml
here = osp.dirname(osp.abspath(__file__))
def arc2017():
data_file = osp.join(here, "data.npz")
data = dict(np.load(data_file))
# compose masks to class label image
class_label = np.full(data["rgb"].shape[:2], 0, dtype=np.int32)
... |
998,684 | 85fc2ede22a2e0de25092d8cdb17a04edbe44b76 | '''
Знайти суму додатніх елементів лінійного масиву цілих чисел.
Розмірність масиву - 10. Заповнення масиву здійснити з клавіатури.
'''
import numpy as np
A = np.zeros(10)
s = 0
for i in range(len(A)):
A[i] = int(input('Enter element: '))
for i in A:
if i > 0:
s += i
print(A)
print(s)
|
998,685 | 1ab302b5c45b22e9a4b706b6377071d474d75140 | #!/usr/bin/env python
POWS = [1 << POS for POS in range(33)]
t = int(raw_input().strip())
for _ in xrange(t):
a, b = map(int, raw_input().strip().split())
c = b - a + 1
if c == 1 or c == 2:
print a & b
else:
pos = 0
while c > POWS[pos]:
pos += 1
a //= POWS[p... |
998,686 | 2f7bc50f55c30d851e6e1af9b9ccaeb399af936b | import sys
sys.path.append("..")
from guerraterritorios.tests.testsFunctions import *
from guerraterritorios.models.provincias import *
def esUnaProvinciaPuedeDetectarSiUnaListaCumpleLaEstructura():
provincia = [
"Alajuela",
[
[
"Upala",
[
... |
998,687 | 0a56355d7b704646c4c9c1dff4057d085214501e | from params import *
from K2_K2_64x52 import K2_K2_transpose_64x52
p = print
def karatsuba_eval(dst, dst_off, coeff, src, t0, t1):
""" t1 can overlap with any source register, but not t0 """
p("vmovdqa %ymm{}, {}({})".format(src[0], (dst_off+4*0+coeff)*32, dst)) # a[0:]
p("vmovdqa %ymm{}, {}({})".forma... |
998,688 | 357e7f305eef49676e072ca8a0c667e1f18b492e | #!/usr/bin/python
import sys
gfafile = sys.argv[1]
goodnodefile = sys.argv[2]
startnode = sys.argv[3] # format 123 without <>
node_lens = {}
one_outedge = {}
with open(gfafile) as f:
for l in f:
parts = l.strip().split('\t')
if parts[0] == 'S':
node_lens[parts[1]] = len(parts[2])
elif parts[0] == 'L':
... |
998,689 | 7680ac3bf4ab0144841638563c74eb379f69a829 | import re
import os
import numpy as np
import pandas as pd
import multiprocessing
match = 3
mismatch = -3
gap = -2 #空位罚分 空位权值恒定模型
# 蛋白质替换记分矩阵用BLOSUM-62
S_matrix = [[9,-1,-1,-3,0,-3,-3,-3,-4,-3,-3,-3,-3,-1,-1,-1,-1,-2,-2,-2],
[-1,4,1,-1,1,0,1,0,0,0,-1,-1,0,-1,-2,-2,-2,-2,-2,-3],
[-1,1,4,1,-1,1,0,1,0,0,0,-1,0... |
998,690 | 10aaf983f059a8c1eb5ba4eb506d1892b14899b2 | # Generated by Django 2.2 on 2019-04-26 05:38
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('NewsFeed', '0002_subscribe... |
998,691 | 38865c2e65cc9019abf01186eb4ddc736e2a7506 | """
WHAT - model
HOW - xxx
"""
import os
from flask import (
Blueprint,
flash,
redirect,
render_template,
request,
session,
url_for
)
from models.__init__ import init_db
from models.card import Card
from models.plan import (
get_rand_card,
get_plan,
get_card_by_id,
set_kno... |
998,692 | 50bf66278380a01cc5750ec8a458ba98c32df675 | """djEmpleosIngenia URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.9/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
... |
998,693 | 9ae998e6576759d73a389051d1f9b07916ac9423 | #!/usr/bin/env python
# coding: utf-8
# # <font color='blue'>Data Science Academy - Python Fundamentos - Capítulo 5</font>
#
# ## Download: http://github.com/dsacademybr
# In[ ]:
# Versão da Linguagem Python
from platform import python_version
print('Versão da Linguagem Python Usada Neste Jupyter Notebook:', pytho... |
998,694 | e205852f3196394e6fce50ef0bd3e91b97d3e6a4 | import time
from selenium import webdriver
# Optional argument, if not specified will search path.
driver = webdriver.Chrome(
'/home/fenris/work/Kamtech/Scrapers/LinkScraper/src/chromedriver_1')
driver.get('http://www.google.com/')
time.sleep(5) # Let the user actually see something!
search_box = driver.find... |
998,695 | caf63c0023d51a7f6ac0aa52fc8a87557e1b219a | # Register your models here
from .models import *
from django.contrib import admin
admin.site.register(Question)
admin.site.register(Answer)
admin.site.register(Comment)
admin.site.register(Topic)
admin.site.register(Discussion)
admin.site.register(Vote)
admin.site.register(Message)
admin.site.register(Thread)
admin.s... |
998,696 | 10b31b4bccb5ea90d1f952512d6bb98f46f3ba75 | from trlib.algorithms.algorithm_handler import Double_FQI_SSEP_Handler
import numpy as np
import json
def calculate_q_values(double_fqi_ss_ep_handler, file_name):
assert isinstance(double_fqi_ss_ep_handler, Double_FQI_SSEP_Handler)
q_max_list = []
q_min_list = []
persistences = double_fqi_ss_ep_handle... |
998,697 | 692aab5f54e4f254f5c2cd69527265ba950e7374 | """
In this kata you have to create all permutations of an input string and remove duplicates, if present. This means, you have to shuffle all letters from the input in all possible orders.
Examples:
permutations('a'); # ['a']
permutations('ab'); # ['ab', 'ba']
permutations('aabb'); # ['aabb', 'abab', 'abba', 'baab',... |
998,698 | 200370c10ce61c0325509c20e71844381191c39a |
# intersection_update()方法:用于获取两个或更多集合中都重叠的元素，即计算交集
# intersection_update() 方法不同于 intersection() 方法，因为 intersection() 方法是返回一个新的集合，
# 而 intersection_update() 方法是在原始的集合上移除不重叠的元素
set23 = {'a', 'b', 1, 2}
set24 = {'a', 'c', 3, 2}
set23.intersection_update(set24)
print(set23)
|
998,699 | 5dee86f77bf7b9f3b813616a4352a485ac9d2b0a | # -*- coding: utf-8 -*-
# Copyright 2016 Yelp Inc.
#
# 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 ag... |
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