blob_id stringlengths 40 40 | formatted stringlengths 15 1.74M | input_ids listlengths 7 1.19M | tokens listlengths 7 1.19M | rows listlengths 7 1.19M | cols listlengths 7 1.19M |
|---|---|---|---|---|---|
de925b8f6bd31bfdfd1f04628659847b0761899d | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
@author: Allen(Zifeng) An
@course:
@contact: anz8@mcmaster.ca
@file: 17. Letter Combinations of a Phone Number.py
@time: 2020/2/2 21:18
"""
from typing import List
class Solution:
def letterCombinations(self, digits: str) -> List[str]:
d = {2: "abc", 3: "... | [
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b3d9013ab6facb8dd9361e2a0715a8ed0cdfeaba | from setuptools import setup
import imp
def get_version():
ver_file = None
try:
ver_file, pathname, description = imp.find_module("__version__", ["cmakelint"])
vermod = imp.load_module("__version__", ver_file, pathname, description)
version = vermod.VERSION
return version
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359db73de2c2bb5967723dfb78f98fb84b337b9d | from math import degrees, sqrt, sin, cos, atan, radians
from pygame import Surface, draw
from pygame.sprite import Sprite
from constants import ARROW_MAX_SPEED, FLOOR_Y
from game_types import Radian, Degree
class Arrow(Sprite):
def __init__(self, color, screen, character, click_position):
Sprite.__init__... | [
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97cc29e0d54e5d5e05dff16c92ecc4046363185f | from django.conf import settings
from django.conf.urls.static import static
from django.contrib import admin
from django.urls import path, include
from home import views
from order import views as OV
urlpatterns = [
path("user", include("user.urls")),
path("order", include("order.urls")),
path("shopcart/",... | [
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35b24ffa14f8b3c2040d5becc8a35721e86d8b3d | total = totmil = cont = menor = 0
barato = " "
print("-" * 40)
print("LOJA SUPER BARATÃO")
print("-" * 40)
while True:
produto = str(input("Nome do Produto: "))
preco = float(input("Preço: "))
cont += 1
total += preco
if preco > 1000:
totmil += 1
if cont == 1 or preco < menor:
ba... | [
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709271b98fc2b40c763522c54488be36968f02d8 | from base import *
try:
from .prod_local import *
except:
pass
# we currently don't have an interface that allows an administrator
# to create a repository for another user. Until we have added this
# capability, allow users to create repos.
ELEMENTARY_ALLOW_REPO_CREATION = True
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edcccc673994a8de281a683b747de52d2115f89e | from configparser import ConfigParser
from ef.config.components import *
from ef.config.efconf import EfConf
from ef.config.section import ConfigSection
comp_list = [
BoundaryConditions,
InnerRegion,
OutputFile,
ParticleInteractionModel,
ParticleSource,
SpatialMesh,
TimeGrid,
ExternalF... | [
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38e167630519b73bffea4ff527bc7b7272a49f1a | # -*- coding:utf-8 -*-
# Author: hankcs
# Date: 2019-01-13 15:01
import pickle
import numpy as np
from bert_serving.client import BertClient
from pyhanlp import *
CharTable = JClass("com.hankcs.hanlp.dictionary.other.CharTable")
# bc = BertClient(ip='192.168.1.88') # ip address of the server
bc = BertClient(ip="127... | [
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816b1a932208a4525230dd886adf8c67dec3af3e | # content of conftest.py
# adapted from http://pytest.org/latest/example/special.html
import pytest
import requests
def tear_down():
"""conftest.py tear_down - the last to go...."""
print("\nTEARDOWN after all tests")
@pytest.fixture(scope="session", autouse=True)
def set_up(request):
"""conftest.py se... | [
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9096ed4b68d2bef92df7db98589e744ddf3efad0 | import matplotlib.pyplot as plt
from shapely.geometry import MultiLineString, Polygon
mls = MultiLineString([[(0, 1), (5, 1)], [(1, 2), (1, 0)]])
p = Polygon([(0.5, 0.5), (0.5, 1.5), (2, 1.5), (2, 0.5)])
results = mls.intersection(p)
plt.subplot(1, 2, 1)
for ls in mls:
plt.plot(*ls.xy)
plt.plot(*p.boundary.xy, "-... | [
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c99f1333c5ca3221e9932d9a9ba1d95a77924f0d | import sys
import math
def get_max_sum(arr):
max_sum = -math.inf
for i in range(1, 5):
for j in range(1, 5):
temp = (
arr[i][j]
+ arr[i - 1][j - 1]
+ arr[i - 1][j]
+ arr[i - 1][j + 1]
+ arr[i + 1][j + 1]
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78c9f92349ba834bc64dc84f884638c4316a9ea4 | INPUT_MINBIAS = "/build/RAWReference/MinBias_RAW_320_STARTUP.root"
INPUT_TTBAR = "/build/RAWReference/TTbar_RAW_320_STARTUP.root"
puSTARTUP_TTBAR = "/build/RAWReference/TTbar_Tauola_PileUp_RAW_320_STARTUP.root"
relval = {
"step1": {
"step": "GEN-HLT",
"timesize": (100, ["MinBias", "TTbar"]),
... | [
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c6b261a09b2982e17704f847586bbf38d27cb786 | from ._sinAction import *
from ._sinActionFeedback import *
from ._sinActionGoal import *
from ._sinActionResult import *
from ._sinFeedback import *
from ._sinGoal import *
from ._sinResult import *
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f4306f80330850415b74d729384f360489644e39 | import unittest
import numpy
import pandas as pd
import fixtures.examples_validate as examples
from cellxgene_schema.validate import Validator
from cellxgene_schema.write_labels import AnnDataLabelAppender
# Tests for schema compliance of an AnnData object
class TestValidAnndata(unittest.TestCase):
"""
Te... | [
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ad3a7221883a847fc9d26097c3801973cbbda38e | from django.urls import path, include
from Income import views
urlpatterns = [
path("IncomeHome/", views.IncomeHome, name="IncomeHome"),
path("IncomeCreate/", views.IncomeCreate.as_view(), name="IncomeCreate"),
path("IncomeUpdate/<int:pk>", views.IncomeUpdate.as_view(), name="IncomeUpdate"),
path("Inc... | [
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180f7f0ade9770c6669680bd13ac8f2fd55cc8c7 | def raizCubica(numero):
r = pow(numero, (1 / 3))
return r
numeros = []
raices = []
for x in range(5):
numeros.insert(x, float(input("Ingrese Numero: ")))
raices.insert(x, round(raizCubica(numeros[x]), 3))
print("Numeros: ", numeros)
print("Raices: ", raices)
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97ebdeada3d797a971b5c3851b75f9754595f67c | """
Python package setup file.
"""
from setuptools import setup
setup(
name="TF_Speech",
version="0.2.0",
extras_require={"tensorflow": ["tensorflow"], "tensorflow with gpu": ["tensorflow-gpu"]},
)
| [
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9f34bf3a0bb24db428b7af1a354aec1d3a72df98 | from random import randrange
from django.core.exceptions import ValidationError
from django.contrib.auth import get_user_model
from rest_framework import serializers
from rest_framework_simplejwt.serializers import TokenObtainPairSerializer
from .models import EmailValidation
from ..emails.models import Email
from .... | [
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2ca91c410b8c8d6306d5ed918783a4d77a091ba8 | from typing import List
from re import match
from utility import ButtonGroup
import rumps
class RepeatWorkBreak(rumps.App):
def __init__(self):
rumps.debug_mode(True)
self.config = {
"app_title": "Repeat Work and Break",
"start": "Start",
"pause": "Pause Timer"... | [
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8bc40ed4fe1091ecdb40cd55ff9cf53010078823 | import requests
import json
data = json.load(open("dummy_data/data.json"))
for one in data:
print(one)
r = requests.post("http://localhost:8080/sumari", json=one)
print(r.text)
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4e9a968842c2b3eca79690f0b56c8e176b203138 | print((9 * int(input()) / 5) + 32)
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7a1bd2b4734527a414c6173ea8edb150221f8042 | import numpy as np
import pandas as pd
from scipy.optimize import minimize
from datetime import datetime
import time
from functions import weather_scraper
def getData():
# # run weather_scraper.py to fetch new weather data
# weather_scraper.getData()
## Read in csv file "weather_data.csv"
weather_dat... | [
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1bdb19373960e4f63d80d6ab73ec3c0939e40b7f | import contextlib
import dask
import dask.array as da
import packaging.version
import pandas
import six
import sklearn
SK_VERSION = packaging.version.parse(sklearn.__version__)
DASK_VERSION = packaging.version.parse(dask.__version__)
PANDAS_VERSION = packaging.version.parse(pandas.__version__)
@contextlib.contextma... | [
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a4f932a8566afe0265dc1057d0f6534a608697f7 | """
LeetCode Problem: 242. Valid Anagram
Link: https://leetcode.com/problems/valid-anagram/
Written by: Mostofa Adib Shakib
Language: Python
"""
class Solution(object):
def isAnagram(self, s, t):
"""
:type s: str
:type t: str
:rtype: bool
"""
length1 = len(s)
... | [
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6dd11f71e514a46462bf0b97ddac9ea474e86ad0 | import os, glob
import numpy as np
from ..algorithms.utils import get_file_manager
from ..algorithms.clustered_writes import *
from ..exp_utils import create_empty_dir
def test_get_entity_sizes():
# in C order
bytes_per_voxel = 1
R = (10, 9, 10)
cs = (5, 3, 2)
partition = (2, 3, 5)
bs, brs, b... | [
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... |
c09c02a36a64e9522cfc8c0951bd6c98f404f09c | # Random number guessing game.
# 10 July 20
# CTI-110 P5HW1 - Random Number
# Thelma Majette
import random
randomNumber = random.randint(1, 100)
# main function
def main():
# Create a variable to control the loop.
keep_going = "y"
while keep_going == "y":
# Ask user for a number ()
guess... | [
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798ddd4a6e4febb4664bf1c973877628d1a45c71 | from django.conf.urls import patterns, include, url
# Uncomment the next two lines to enable the admin:
# from django.contrib import admin
# admin.autodiscover()
urlpatterns = patterns(
"accounts.views",
url(r"^$", "home", name="home"),
url(r"^login/$", "login", name="login"),
url(r"^logout/$", "logou... | [
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3340277df91f1421dab8d204eddce65b4604432b | from django.shortcuts import render, redirect
from .models import Courses
from django.views.generic import CreateView, ListView, UpdateView, DeleteView
from .forms import CourceCreateForm
from django.urls import reverse_lazy
from django.urls import reverse
class CourceListView(ListView):
model = Courses
templ... | [
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66444047f9e5eea845c8ac2dbaaf16fc2914d6ec | if answ[1] == "дата":
apisay(datetime.date.today(), toho, torep)
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d2f6d7c779d3d6e61d9da7af01a2931fdabec828 | import random
choices = ["X", "O"]
try:
# Choice of X-O given to the player
player_sym = input("Choose 'X' or 'O' : ")
# raising an exception if the variable is not X or O
if player_sym != "X" and player_sym != "O":
raise Exception("Symbol not found")
except Exception as e:
print(e.... | [
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b4c6075aabe833f6fe23471f608d928edd25ef63 | from .base import paw_test
class warning_test(paw_test):
def test_warning_badchars(self):
self.paw.cset_lookup(self.badchar)
self.assertEqual(1, self.paw.wcount)
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24c9b562411a63f0d3f2ee509bb60dafe7fbecd1 | import os
from flask import Flask
# from flask_login import LoginManager
from flask_sqlalchemy import SQLAlchemy
# from flask_bcrypt import Bcrypt
from flask_wtf.csrf import CSRFProtect
app = Flask(__name__)
csrf = CSRFProtect(app)
# bcrypt = Bcrypt(app)
app.config["SECRET_KEY"] = "v\xf9\xf7\x11\x13\x18\xfaMYp\xed_... | [
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14a357f3dfb3d59f1d8cfd566edeaf8b0e5bb56d | #!/usr/bin/env python
import rospy
from geometry_msgs.msg import Twist
from sensor_msgs.msg import Joy
import serial
from sys import platform
if platform == "linux" or platform == "linux2":
ser = serial.Serial("/dev/ttyACM0")
elif platform == "darwin":
pass
elif platform == "win32":
# Windows...
ser =... | [
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1ef9df43725196904ec6c0c881f4a1204174b176 | import requests, shutil, os, glob
from zipfile import ZipFile
import pandas as pd
from xlrd import open_workbook
import csv
# zipfilename = 'desiya_hotels'
# try:
# # downloading zip file
# r = requests.get('http://staticstore.travelguru.com/testdump/1300001176/Excel.zip', auth=('testdump', 'testdump'), verify... | [
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7a59c8c883a9aaa723175783e01aa62e23503fde | #!/C:\Program Files (x86)\Python35-32
# importar librarias necesarias
from urllib.request import urlopen
from bs4 import BeautifulSoup
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48d0bfdc607a4605ef82f5c7dc7fd6fc85c4255f | """
BMI=weight*0.45259227/(hei*0.0254)**
"""
wht = 2
if wht == 0:
print("wht is", wht)
else:
print("whtsdsb")
# 今天也完成了100波比跳
wei = float(input("wei="))
hei = float(input("hei="))
bmi = (wei * 0.45259227) / ((hei * 0.0254) ** 2)
print("BMI=", bmi)
if bmi < 18.5:
print("too light")
elif bmi < 25:
print("... | [
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05e4bcc7323b908a7b45d766ada463ce172e25c4 | import graphene
import f1hub.drivers.schema
import f1hub.results.schema
import f1hub.constructors.schema
import f1hub.races.schema
import f1hub.status.schema
import f1hub.circuits.schema
import f1hub.constructorresults.schema
import f1hub.constructorstandings.schema
import f1hub.driverstandings.schema
import f1hub.lap... | [
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7530c2c85f83d1714840ba97c1ec702f063658c5 | from typing import List
import glm
import pxng
import OpenGL.GL as gl
class VertexArrayObject:
def __init__(self, primitive):
self._primitive = primitive
self._buffers: List[pxng.BufferObject] = []
self._indices = pxng.BufferObject(data_type=self.index_data_type, array_type=gl.GL_ELEMENT... | [
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1f7d770106ea8e7d1c0bb90e1fc576b7ee2f0220 | # Generated by Django 3.0.8 on 2020-08-28 17:37
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("shop", "0003_auto_20200828_1836"),
]
operations = [
migrations.AddField(
model_name="order",
name="total",
... | [
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01847c9e601eae6775cd4324483740c30e344557 | from django.apps import AppConfig
class CfCoreConfig(AppConfig):
name = "cf_core"
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ca11e9cf0bcfcbd714c45b5c95bd2c2044b65909 | """Woma objects for dealing with HTTP.
Request and Response inherit from webob's Request and Response objects, so see
http://docs.webob.org/en/latest/ for full documentation. The only things
documented here are the customizations.
"""
from webob import Request as BaseRequest
from webob import Response as BaseRespons... | [
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2c22f891f30825bcb97987c78a98988ad2a92210 | import os
import sys
import json
import logging
import argparse
from glob import glob
from pricewatcher.tools import ensure_mkdir
from pricewatcher.parser.f21 import ForeverParser
from pricewatcher.parser.jcrew import JcrewParser
from pricewatcher.utils.load_es import bulk_load_es
BRAND_PARSERS = {"forever21": Foreve... | [
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3cd7abf9659fe1db0ef3aa58df8dd7fd959e10a6 | import os
import csv
import re
totWords = 0
wordLen = 0
totSentWithPunctuation = 0
sourceFile = os.path.join("Resources", "paragraph_2.txt")
with open(sourceFile, "r") as paragraph:
paragraph = paragraph.read().split("\n\n")
for sentence in paragraph:
# Remove punctuation from sentences
sentWithPunctua... | [
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b95619f3f52ff3747e38ecc153123962d0122a4d | # noinspection PyStatementEffect
{
"name": "ldap_user",
"summary": "",
"description": "域账号用户管理，登录及查询用户信息",
"author": "",
"website": "",
"source": {"git": "https://github.com/LeiQiao/Parasite-Plugins.git", "branch": "master"},
"category": "",
"version": "0.1",
"api": {
"/user/... | [
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484d104a8481a707a187d0bcb30898c3459a88be | # -*- coding: utf-8 -*-
from django.conf.urls import patterns, include, url
from apps.virt.views import node, domain, device, cluster, home
urlpatterns = patterns(
"",
# Home
url(r"^$", home.HomeView.as_view(), name="home"),
# Cluster
url(r"^cluster/status/$", cluster.ClusterStatusView.as_view(), ... | [
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545794cf4f0b2ab63b6a90951a78f8bdaca3c9e6 | from collections import defaultdict as dd
def grouping(w):
d = dd(list)
for k, v in ((len([y for y in x if y.isupper()]), x) for x in sorted(w, key=str.casefold)):
d[k].append(v)
return dict(sorted(d.items()))
| [
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ab844143ceddf32982682f5092762af0c97db577 | from ..translators.translator import Translator
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0762c5bec2d796bb7888e3de45e29fb20f88f491 | from starter2 import *
from collections import defaultdict
import scipy
import colors
import hair_dryer
reload(hair_dryer)
import three_loopers_u500 as TL
import movie_frames
def GE_pearson(this_looper, core_list=None):
if core_list is None:
core_list = np.unique(this_looper.tr.core_ids)
name = th... | [
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7bbbd30ba1578c1165ccf5c2fff22609c16dfd64 | """
Cores no terminal
"""
a = 3
b = 5
print("Os valores são \033[32m{}\033[m e \033[31m{}\033[m !!!".format(a, b))
# Dicionário de cores:
nome = "Kátia"
cores = {"limpa": "\033]m", "azul": "\033[34m", "amarelo": "\033[33m", "pretoebranco": "\033[7;30m"}
print("Prazer em te conhecer, {}{}{}!!!".format(cores["azul"], ... | [
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b5ac3695a224d531f5baa53a07d3c894d44e8c4c | import matplotlib.pyplot as plt
Ci_MSB = [32, 16, 8, 4, 2, 1]
Ci_LSB = [16, 8, 4, 2, 1]
CB = 1
CP_B = 0
CP_LSB = (32 - 1) * (CB + CP_B - 1) + 10
print(CP_LSB)
CP_MSB = 0
Csum_LSB = sum(Ci_LSB) + CP_LSB
Csum_MSB = sum(Ci_MSB) + CP_MSB
Cx = Csum_LSB * Csum_MSB + (CB + CP_B) * Csum_LSB + (CB + CP_B) * Csum_MSB
Wi_MSB = [... | [
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c9d12f14fa0e46e4590746d45862fe255b415a1d | # vim: expandtab
# -*- coding: utf-8 -*-
from poleno.utils.template import Library
from chcemvediet.apps.obligees.models import Obligee
register = Library()
@register.simple_tag
def gender(gender, masculine, feminine, neuter, plurale):
if gender == Obligee.GENDERS.MASCULINE:
return masculine
elif ge... | [
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58e023c3c453d1e190fdb5bc457358f42d1bd93f | # https://leetcode.com/problems/how-many-numbers-are-smaller-than-the-current-number/
# BruteForce
class BruteForceSolution:
def smallerNumbersThanCurrent(self, nums):
answer = []
for num in nums:
counter = 0
for i in range(len(nums)):
if nums[i] < num:
... | [
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b4b7e20c9558bd1b29a1c1fa24bfca8a2d292b27 | import xml.etree.ElementTree as ET
# tree = ET.parse('rutas/rutas_prueba.xml')
# treeToAdd = ET.parse('rutas/rutas_prueba_agregar.xml')
# root = tree.getroot()
# git rootToAdd = treeToAdd.getroot()
# for child in root:
# for test in child:
# print(test.tag, test.attrib)
# for elem in root.iter():
# ... | [
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97bbb181cbc0f5bfbf0b2298133fc226b6217d91 | import tensorflow as tf
from tensorflow.python.framework import graph_util
from net import siameseNet_batchnorm as siameseNet
import dataset
import numpy as np
import cv2
import os
batch_size = 64
input_height = 32
input_width = 32
total_epoch_num = 50
snapshot = 100
support_image_extensions = [".jpg", ".png", ".jpeg"... | [
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68f3d3fce52d08381adc522ee032ef3181aec82a | # Generated by Django 2.2.3 on 2019-07-27 10:41
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("beerFriends", "0006_auto_20190726_1504"),
]
operations = [
migrations.AlterField(
model_name="beer",
name="rating",
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4775bef3623497e9bbe79ca2d4e9e9da0422c450 | #
#
#
# ------------------------------------------------------------------------------------------------------------------------------
#
# This program have been developed by Hamed Noori and with citiation of the related publicaitons
# can be used without permission.
# This program is for a novel architecture for traff... | [
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d82412055affc96d634957c953a35ea69b7e702f | """Turning on or off, toggling and checking the status' of a specific relay"""
#!/bin/env python3
from time import sleep
from gpiozero import LED
RELAYS = [LED(23), LED(24), LED(25), LED(8), LED(7), LED(1), LED(12), LED(16)]
def on_action(relay_option, number):
"""To turn on the chosen relay"""
relay_optio... | [
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862b529741d9c3e6cf7ca50272c8af724c56ac62 | from wasserstoff.wasserstoff import Config, Environment
__all__ = ["Config", "Environment"]
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6d25b0fedf0d5081a3a0a93ddacc49748464d9d0 | # Required python libraries for attack.py
import socket
import os
import sys
from termcolor import colored
import StringIO
import time
# need to find Python equivalent libraries for these
import stdio
import stdlib
import unistd
# need to find Python equivalent libraries for these
import includes
import killer
impor... | [
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e57b30a7a1cf987918abfb3cb7d612bdead2ddcd | from django.db import models
# Create your models here.
class Airlines(models.Model):
flight_number = models.CharField(max_length=8, unique=True)
airlines_id = models.CharField(max_length=10)
source = models.CharField(max_length=20)
destination = models.CharField(max_length=20)
departure = models.... | [
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2827a56c12c1e15a6fe26ce182aa07d76735d77f | """
MDSANIMA Setup
"""
import sys
import pathlib
from setuptools import setup, find_packages
HERE = pathlib.Path(__file__).parent
CURRENT_PYTHON = sys.version_info[:2]
REQUIRED_PYTHON = (3, 6)
# This check and everything above must remain compatible with Python 2.7.
if CURRENT_PYTHON < REQUIRED_PYTHON:
sys.stde... | [
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d4ac5c6f08e9baa458fbe0ca7aa90c4d9372844f | import h5py
import numpy as np
# import tracking
dt = h5py.special_dtype(vlen=bytes)
def stringDataset(group, name, data, system=None):
dset = group.create_dataset(name, (1,), dtype=dt, data=data)
if system:
addSystemAttribute(dset, system)
return dset
def addStringAttribute(dset_or_group, name... | [
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4d388c912915c3f1f9e433f1342289f0864b3a11 | # /usr/bin/python
# File: UdpClient.py
# Author: David Zemon
# Project: Project1
#
# Created with: PyCharm Community Edition
"""
@description:
"""
__author__ = "david"
import logging
from src.UDP import UDPClient
logging.basicConfig(level="DEBUG")
serverName = "127.0.0.1"
serverPort = 12000
client = UDPClient... | [
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cd5945631a9dd505bf67089bab8c5a37ad375129 | import pandas as pd
df1 = pd.read_csv("../final/your_no.tsv", "\t")
df2 = pd.read_csv("../../Downloads/me.csv", "\t")
final = pd.concat([df1, df2])
final.to_csv("../../Downloads/final_con_final.tsv", sep="\t", index=False)
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16b425d7b8cde1aabe038ccae6922091afb84415 | # coding: utf-8
# In[1]:
import matplotlib.pyplot as plt
import matplotlib
import pandas as pd
import numpy as np
from pandas import DataFrame, Series
import os, re
# In[2]:
OUTPUT_EXCEL = "월별원내약품사용현황.xlsx"
# In[3]:
# 데이타셋 준비
data_source_dir = "사용량월별통계/원내"
dfs = []
for fname in os.listdir(data_source_dir):
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0eaaa81d3c8bc61368701e1916b42ede88b90d04 | # EXERCISE:
# Plotting distributions pairwise (2)
# In this exercise, you will generate pairwise joint distributions again. This time, you will make two particular
# additions:
# - You will display regressions as well as scatter plots in the off-diagonal subplots. You will do this with the
# argument kind='reg' (whe... | [
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27e9635adf6109f3ab13b9d8dd5809973b61ca03 | # Web Scraping
# Make sure you have bs4, webbrowser and request installed as your third party modules
import bs4, webbrowser, requests
try:
data = requests.get("http://en.wikipedia.org/wiki/Python")
data.raise_for_status()
my_data = bs4.BeautifulSoup(data.text, "lxml")
print("List of all the header ... | [
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f5f26819be4b98fab3d46e57e1a5431e54342aed | # coding: utf-8
"""Supporting model logic for predicting emotional content of user input."""
import pandas as pd
import gensim
from sklearn.model_selection import train_test_split
from sklearn.multiclass import OneVsRestClassifier
from sklearn.svm import LinearSVC
# load data for emo2vec
loc = "https://s3-us-west-1.a... | [
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d2e46944ab05c5e8c1979101728b7b25900be342 | import pytest
from time import sleep
from timeflux.helpers.background import Task
class DummyWorker:
def echo(self, message="hello", delay=0, fail=False):
sleep(delay)
if fail:
raise Exception("failed")
self.message = message
return self.message
def test_default(worki... | [
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b2f2f1e4b7070ac867b71e538f759e527eb1ffb9 | from pymouse import PyMouse
m = PyMouse()
w, h = m.screen_size()
class base_controller:
def __init__(self):
pass
def move(self, xy: list):
"""
移动
"""
m.move(xy[0] * w, xy[1] * h)
def click(self, xy: list):
"""
点击
"""
m.click(xy[0] ... | [
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ec9efeca7eef7b8ee25c1e089e675bdb1e53413b | # -*- coding:utf-8 -*-
# Author: washing
# DateTime: 2022/5/18 10:28
# File: 0668.py
# Desc: CV
class Solution:
def findKthNumber(self, m: int, n: int, k: int) -> int:
return bisect_left(range(m * n), k, key=lambda x: x // n * n + sum(x // i for i in range(x // n + 1, m + 1)))
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13342922022f0a0e8928c81c1c4716125af0b2c4 | import matplotlib.pyplot as plt
import numpy as np
plt.rcParams["savefig.dpi"] = 300 # 图片像素
plt.rcParams["figure.dpi"] = 300 # 分辨率
plt.rcParams["font.sans-serif"] = ["SimHei"]
plt.rcParams["axes.unicode_minus"] = False
x_axis = [20, 40, 60, 80, 100]
rf = [184, 174, 166, 159, 157.5]
anns = [186, 179, 170, 164, 161]
... | [
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cb08b95e3b9c80fb74d4415b3798ddbb36cd76e7 | import unittest
"""
Find the largest 0 to 9 pandigital that can be formed by concatenating products
Take the number 6 and multiply it by each of 1273 and 9854:
6 × 1273 = 7638
6 × 9854 = 59124
By concatenating these products we get the 1 to 9 pandigital 763859124. We will call 763859124 the "concatenated product of ... | [
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e695b9458c0e98521e560dbb291f6f05bda1549f | from savers.saver import SaverInterface
import os
from config import SaverConfig
import mysql.connector
import json
import logging
class SQLSaver(SaverInterface):
# This class takes in json files and will interpret the jsons as follows.
# {'tablename':[{'columnname01':'somevalue','columnname02':'somevalue'},{... | [
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c55991e738c89ee09dabd79d514e710e0fcbac85 | from splinter import Browser
from time import sleep
from datetime import datetime, timedelta
import os, sys
import urllib
import cv2
import numpy as np
from PIL import Image
import imutils
import csv
class Scraper:
start_date = datetime(2018, 1, 8)
url = "http://spaceweather.com/"
def scrape(self):
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b767519229058b50183d78bb97121f050e5b6bad | # defining private variables
class Privacy:
def __init__(self, val):
self.__val = 900
print("Private data member =", self.__val, "\n")
value = Privacy(800)
print("Value not changable\n")
value.__val
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b679444fde7cd8eb819443922f37ee54c0f29de4 | from pirates.teleport.AreaTeleportActor import AreaTeleportActor
class DoorTeleportActor(AreaTeleportActor):
pass
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f714c7006f50379cc7508a13d710d902d38d2d1f | import torch
import torch.nn as nn
import torch.nn.functional as F
# Const. low-rank version
class xCNNlow(torch.nn.Module):
def __init__(self, channels, filters, kernel_size, padding=0, stride=1, groups=1, rank=1, bias=True):
super(xCNNlow, self).__init__()
self.filters = filters
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726f133bcf592315c42f8701be8308422ffbf0d9 | from flask import Flask, render_template
from flask_ask import Ask, statement, question, session
import reverse_geocoder as rg
from geopy import distance
from geopy.geocoders import Nominatim
import requests
import time
"""
:::::::: ::::::::: ::: :::::::: :::::::::: ::: ::: ::: ::: ... | [
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cae49da8dd436fc51b472c4a88703d8bc6c79bda | import SCons.Util
import xml.dom.minidom, re, os.path
################################################################################
# DocBook pseudobuilder
# TODO: Only generate the output formats that are known
################################################################################
def generate(env):
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c139cbc3e693d75ad196e10257ff3028aa835709 | # Complete the hurdleRace function below.
def hurdleRace(k, height):
if k < max(height):
return max(height) - k
return 0
print(hurdleRace(2, [2, 5, 4, 5, 2]))
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77971b088a7e076e3bf6d7aa320981a50e7756ce | from flask import Flask
from flask_ask import Ask, statement, question, session
# import json, requests
import random
app = Flask(__name__)
ask = Ask(app, "/")
def get_cat_fact():
myFacts = [
"Cats should not be fed tuna exclusively, as it lacks taurine, an essential nutrient required for good feline h... | [
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124d7da330aa7c869320e10f4f89cc1c872f85f2 | import matplotlib.pyplot as plt
import sys
sys.path.append("coin_flipping_src")
from monte_carlo import monte_carlo
from probability import probability
plt.style.use("bmh")
x_coords = range(10)
probablility_results = [probability(x, 10) for x in x_coords]
plt.plot(x_coords, probablility_results, linewidth=2.5)
# plt.... | [
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502da0f0dafe42d3464fabb1d92ae1b0d7ef11f3 | # Check given matrix is valid sudoku or Not.
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4e31c2a80bec77a1f5aafc8a91617fb4b2941788 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Author: André Pacheco
E-mail: pacheco.comp@gmail.com
This file implements the methods and functions to load the image as a PyTorch dataset
If you find any bug or have some suggestion, please, email me.
"""
from PIL import Image
from torch.utils import data
import t... | [
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75133dd924f8f3f028075c5d2109bb79ddc7fe87 | import pymysql
def testeSelect(db):
# 创建查询游标
cur1 = db.cursor()
# 使用 execute() 方法执行 SQL 查询
cur1.execute("SELECT VERSION()")
# 使用 fetchone() 方法获取单条数据.
data = cur1.fetchone()
print(dir(data))
print("cur1 : %s " % cur1)
print("Database version : %s " % data)
def dropTable(db):
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de347b41cd88947690cb42e043880a80d81e2c5c | # Generated by Django 3.2.7 on 2021-09-11 19:38
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("cryptocurrency", "0012_rename_cancel_exists_order_cancel_exist"),
]
operations = [
migrations.AlterField(
model_name="order",
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8e85740123467889bdeb6b27d5eaa4b39df280ed | from .celery import app
from home.models import Banner
from settings.const import BANNER_COUNT
from home.serializers import BannerModelSerializer
from django.core.cache import cache
from django.conf import settings
@app.task
def update_banner_list():
# 获取最新内容
banner_query = Banner.objects.filter(is_delete=Fa... | [
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a2421a8673a524c32539555596711a71a8e00dbf | import os
import argparse
import torch
import model.model as module_arch
from utils.util import remove_weight_norms
from train import get_instance
from librosa import load
from librosa.output import write_wav
from time import time
def main(config, resume, infile, outfile, sigma, dur, half):
# build model architec... | [
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6154979cd2853dd2bd26d1ae5df7365efa0141c2 | from sqlalchemy import Column, MetaData, Table, BigInteger, String, DateTime, Integer
from migrate import *
meta = MetaData()
table = Table(
"accesses",
meta,
Column("id", BigInteger, primary_key=True, nullable=False),
Column("uuid", String(255), nullable=False),
Column("created_at", DateTime),
)
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813354c9c294c0323c1b54cda7074fbffa49cdb3 | from django.utils import timezone
from factory import DjangoModelFactory
from djtriggers.tests.models import DummyTrigger
class DummyTriggerFactory(DjangoModelFactory):
class Meta:
model = DummyTrigger
trigger_type = "dummy_trigger_test"
source = "tests"
date_received = timezone.now()
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aebc918d6a1d1d2473f74d77b8a915ac25548e3a | import cachetools
cache = cachetools.LRUCache(maxsize=3)
cache["PyCon"] = "India"
cache["year"] = "2017"
print("Older: " + cache["year"])
cache["year"] = "2018"
print("Newer: " + cache["year"])
print(cache)
cache["sdate"] = "05/09/2018"
print(cache)
cache["edate"] = "09/09/2018"
print(cache)
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cd234911c1f990b8029dfa792d132847bf39a6aa | import math
def vol_shell(r1, r2):
a = abs((4 / 3) * math.pi * ((r1**3) - (r2**3)))
return round(a, 3)
print(vol_shell(3, 3))
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7b5713c9a5afa911df1c2939751de30412162f15 | from collections import OrderedDict
import copy
import numpy as np
from scipy.optimize import curve_fit
from ... import Operation as opmod
from ...Operation import Operation
from ....tools import saxstools
class SpectrumFit(Operation):
"""
Use a measured SAXS spectrum (I(q) vs. q),
to optimize the param... | [
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595912753d778a0fa8332f0df00e06a9da5cde93 | ################################################################################
# #
# This file is part of the Potato Engine (PE). #
# ... | [
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3b42e218acf1c93fab3a0893efa8bf32a274eb23 | # Generated by Django 2.2.6 on 2019-11-13 13:11
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("interface", "0010_auto_20191104_2107"),
]
operations = [
migrations.AlterField(
model_name="submission",
name="review... | [
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13b69ec61d6b2129f1974ce7cae91c84100b3b58 | import tensorflow.keras
from PIL import Image, ImageOps
from os import listdir
from os.path import isfile, join
import numpy as np
import glob
import cv2
np.set_printoptions(suppress=True)
# Load the model
model = tensorflow.keras.models.load_model("./converted_keras/keras_model.h5")
# Create the array of the right ... | [
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68d537cb8488ae4f2c8300e885be78540952dec0 | #!/usr/bin/env python2
# coding=utf8
from __future__ import absolute_import, division, print_function
from sqlalchemy import func
from walis.model.walis import walis_session
from walis.model.zeus import zeus_session, zeus_db_handler
from walis.model.zeus.activity import (
SubsidyProcessRecord,
SubsidyPayReco... | [
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a32fb683f8d46f901e8dcd2d075ace22ee81e076 | import base64
import string
def hexStringtoBytes(hexstring):
byteArray = bytes.fromhex(hexstring)
return byteArray
def xorBytes(bytes1, bytes2):
xored = bytes([x ^ bytes2[i] for i, x in enumerate(bytes1)])
return xored
def xorAgainstCharacter(byteArray, character):
str2 = [ord(character)] * le... | [
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9b581df505765e895047584c5bb586faef95295f | import dash
import dash_core_components as dcc
import dash_html_components as html
import dash_table as dt
import plotly.express as px
import pandas as pd
import plotly.graph_objects as go
import numpy as np
from datetime import datetime as dat
from sklearn.model_selection import train_test_split
from sklearn.linear_mo... | [
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