index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
999,100 | a1aaa1eff27e7d8b857707cfc810c10014a039e5 | from pyspark import SparkConf, SparkContext
import string
conf = SparkConf().setMaster('local').setAppName('P23_spark')
sc = SparkContext(conf = conf)
def calcmedia(line):
med = (line[1]+line[2]+line[3]+line[4])/4
return (line[0], med)
# ['2008',152.830978]
def formatear(line):
return ((line[0].split('-'))[0],f... |
999,101 | 25ab797620e6a15d944ea95565d18f2b5d8c34ee | n=[]
while len(n) <5:
x=int(input("ingrese un numero "))
n.append(x)
def menor_en_arreglo():
for i in n:
menor = i< i
print (menor)
menor_en_arreglo() |
999,102 | b7661508808a09f519ccb88155183f788e6a5baa | #!/usr/bin/env python
# coding: utf-8
# In[89]:
import numpy as np
import matplotlib.pyplot as plt
import imageio
# # Convolution = Intutively
# In[90]:
url = 'https://source.unsplash.com/U66avewmxJk/400x300'
# In[91]:
cheetah = imageio.imread(url)
# In[92]:
plt.imshow(cheetah)
plt.show()
# In[93]:
... |
999,103 | 7c117e0374b2959a9179b4e074484dd858f9151f | # -*- coding: utf-8 -*-
# Define here the models for your scraped items
#
# See documentation in:
# http://doc.scrapy.org/en/latest/topics/items.html
import scrapy
class Firm(scrapy.Item):
"""firm's general information"""
firm_id = scrapy.Field()
name = scrapy.Field()
rank = scrapy.Field()
tax_c... |
999,104 | a8737764f994d4e572c907256611a9fea3588a9e | import csv
with open("merge_yes.csv", "r") as f:
first = {rows[0]: rows[1:] for rows in list(csv.reader(f))}
with open("house_prices.csv", "r") as f:
for row in csv.reader(f):
#print(row[1])
if row[0] in first:
first[row[0]].append(row[1])
#converting dictionary back to list
merged = [(k,) + tuple(v) for k, ... |
999,105 | 1caf52070e17177651d268f7cb88e749611d00e4 | # -*- coding: utf-8 -*-
# @Author: Alexander Sharov
import json
def json2poly(file):
with open(file, 'r', encoding='utf8') as data_file:
data = json.load(data_file)
points = data['features'][0]['geometry']['coordinates'][0]
print(points)
count = len(points)
print('%d 2 0 0' % count)
... |
999,106 | a795d1171f585b4cd10f4ace1d6643977a8010a1 | """
we will cover tkinter event handling in this part.
In this scenario, we are adding a quit event to our quit button, which currently does nothing when clicked on.
In basically every circumstance, we're going to want to have our buttons actually do something or perform an action rather than just appear there.
This is... |
999,107 | 1b8b5c9c74943c6c3d1c15fdafe4fa6660474a69 | # -*- coding: utf-8 -*-
import threading
import time
from route import *
#Importer le module training.py pour faire la VOD | nPVR
from checkConfig import *
allgo = threading.Condition()
class Process(threading.Thread):
def __init__(self):
threading.Thread.__init__(self)
def execution(self):
... |
999,108 | dd3c7e202d1119d07af63db8b796565ca2db0c3d | # Generated by Django 3.0.3 on 2020-04-02 13:55
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('blog', '0026_comments_email'),
]
operations = [
migrations.RenameField(
model_name='comments',
old_name='approved_comment',
... |
999,109 | 765119ee3b2b58f614b85836621332a13b02194d | import mesh
import mesh_library
import mesh_processing
# import the packages
import numpy as np
import tensorflow as tf
from scipy.optimize import minimize
import scipy.stats as stats
import time
import random
import CGAL
from CGAL import CGAL_Kernel
from CGAL import CGAL_Polyhedron_3
from CGAL import CGAL_Polygon_me... |
999,110 | 303c4317584c641f895c481082e5281c256e76be | #!/usr/bin/env python
#
# A library that provides a Python interface to the Telegram Bot API
# Copyright (C) 2015-2020
# Leandro Toledo de Souza <devs@python-telegram-bot.org>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser Public License as published by
#... |
999,111 | d0599d3f4b5b96854728285d6a464e274b030988 | #! /usr/bin/python
from __future__ import print_function
from dronekit import connect, VehicleMode, LocationGlobalRelative, Command
from pymavlink import mavutil
# Connect vehicle
print("Connect to vehicle")
vehicle = connect("127.0.0.1:14551", wait_ready=True)
# Check arming state
print(vehicle.armed)
... |
999,112 | c12f8d70a4f84967481d632d2d1ade86acec4786 | from city import City
from zoo import Zoo
vienna = City("vienna")
assert vienna.zoo
assert isinstance(vienna.zoo, Zoo)
assert vienna.zoo.size == 130
assert vienna.zoo._owner_name == "Mrs Zoo Keeper"
print(
f"City: {vienna.name}\n"
f"Zoo owner: {vienna.zoo._owner_name}\n"
f"Zoo's size: {vienna.zoo.size}\... |
999,113 | 3582ad4b77c1a2eaef0460a2b3b8e80146f71ebc | from openerp import models, fields, api
class ConciliacionBancaria(models.TransientModel):
_name = "wizard.conciliacionbancaria"
_description = "Conciliacion Bancaria"
conciliacion_id = fields.Many2one('bank.reconciliation', string='Conciliacion Bancaria', required=True)
imprime_movimientos_conci... |
999,114 | 87d65075db946aa39f44d1570340f9b96360180f | # -*- coding: utf-8 -*-
import arcpy
import os
class ConflictDuongBinhDo:
def __init__(self):
self.pathProcessGDB = r"C:\Generalize_25_50\50K_Process.gdb"
self.pathDuongBoNuoc = r"C:\Generalize_25_50\50K_Process.gdb\ThuyHe\DuongBoNuoc"
self.pathDuongBoNuocTemp = r"C:\Generalize_25_50\50K_P... |
999,115 | 97c5abca28a76b57841d92ecdb1c00215b2717c3 | import unittest
from dnnamo.framework.tf import TFFramework
from dnnamo.loader import TFFathomLiteLoader
try:
import fathomlite
_FATHOMLITE = True
except ImportError:
_FATHOMLITE = False
@unittest.skipUnless(_FATHOMLITE, 'No Fathom module found.')
class TestTFFathomLiteLoader(unittest.TestCase):
#_models = ... |
999,116 | a7ae39608433ec03c43b4c77d038138b72cc546c | import csv
from itertools import islice
myreader = csv.DictReader(open('/Users/qiaoli/Downloads/allCustNumVisitsRangeLifecycle.csv'))
i=3
list=[]
with open('/Users/qiaoli/Downloads/allCustNumVisitsRangeLifecycle.csv') as inFH:
csvReader = csv.reader(inFH)
for row in csvReader:
if csvReader.li... |
999,117 | fe1e87b7d2dde99314f90e108f18e53dcf89486e | from java.util import HashMap
from java.util import HashSet
from java.util import Collections
from java.util import ArrayList
from java.io import FileInputStream
from com.bea.wli.config import TypeIds
from com.bea.wli.config.customization import Customization
from com.bea.wli.sb.management.importexport import ... |
999,118 | 2c07a99ab27ddd2dda8818d543eebaa4e7b8f089 | #在Python程序中，分别使用未定义变量、访问列表不存在的索引、访问字典不存在的关键字观察系统提示的错误信息
# 使用未定义变量
# i+j
# 访问列表不存在的索引
# list_a = ['a',1,'c']
# print(list_a[4])
# 访问字典不存在的key
# dict_a = {'a':1,'b':2}
# print(dict_a['c'])
#通过Python程序产生IndexError，并用try捕获异常处理
try:
list_b = ['a','b','c']
print(list_b[3])
except Exception as a:
print(' 发生错... |
999,119 | 6e22a82f53cc1ef0f7e7d35347a78a18a4cf7f42 | import sys
sys.path.append("../")
import config
import logging
from os.path import join
def get_line_offset(filepath):
'''
For each file, return list of new line offsets
:param filepath: path of the file to be read
:return: list of line offsets
'''
try:
fread = open(filepath, 'r', 1)
... |
999,120 | 22d1a75ebdcc4fd61a6174faca3ab3eeff09bce4 | import sys,math;a,b,c,e=[int(i)for i in raw_input().split()]
while 1:
h='';i=''
if c>a:h='W';c+=1
elif c<a:h='E';c-=1
if e>b:i='N';e-=1
elif e<b:i='S';e+=1
print i+h |
999,121 | 82f577a60afa442bc6e8187b0a536b13ee11045b | #!/usr/bin/python3
# -*- coding: utf-8 -*-
"""
Listens to audio from microphone and waits for the configured wake word.
Once the wake word is detected, the program records audio and sends it to Google for converting to text.
When text is received, it is sent to an executor function which checks configured actions and ... |
999,122 | b155504d7a49a0fc02e5650510aad7762f2dc25c | import sys
while True:
line = sys.stdin.readline().rstrip()
if line == ".":
break
true_flag = 1
stack = []
for i in range(len(line)):
if line[i] == "(":
stack.append("(")
elif line[i] == ")":
if stack and stack[-1] == "(":
stack.pop... |
999,123 | 67543d815fc48f63b490b2c396e8ad4b57368d91 | import torch.nn as nn
import torch
import pyro.distributions as distribution
import torch.nn.functional as F
import copy
class MeanFieldNormal(nn.Module):
def __init__(self, shape, loc=None, scale=None, event=1):
super(MeanFieldNormal, self).__init__()
self.event = event
if loc is None:
... |
999,124 | eefc8b540201446b49bd284c08b28652131534a8 | """darkbox.util.osutil"""
import distro
import platform
def get_platform():
plat = platform.system()
if plat == 'Darwin':
return 'mac'
elif plat == 'Windows':
return 'win'
elif plat == 'Linux':
return 'nix'
else:
return 'unk'
def get_distro():
"""
From pl... |
999,125 | 7cc044bee1657f5d490828a0c34bd06317dfd81f | #!/usr/bin/env python
# coding: utf-8
from cx_Freeze import setup, Executable
import sys,os
build_exe_options = {"packages": ["os"], "includes":["tkinter", "tkinter.ttk"]}
base=None
if sys.platform == "win32":
base = "Win32GUI"
setup(name="Timer",
version="1.0",
description="Countdown timer",
opti... |
999,126 | 90bb83c86f1989004f08869f65d30c835e9a30b4 | from __future__ import division
import numpy as np
import itertools
import logging
from .endclasses import endarray, lton, wc
from .energetics_basic import EnergeticsBasic
LOGGER = logging.getLogger(__name__)
def values_chunked(items, endtype, chunk_dim=10):
"""
Given a list of lists of acceptable numbers f... |
999,127 | 42ec590228d9c1af3dd94910cea963c38b4b862b | from django.shortcuts import render, redirect
from django.views.generic import TemplateView, CreateView, ListView, DetailView, UpdateView, DeleteView
from django.core.urlresolvers import reverse_lazy
from .models import *
from django.core.exceptions import PermissionDenied
from django.db import connection
from django.d... |
999,128 | 64c6f1d63d761614cdaaaaecb0432da3c97c281d | n1 = float(input('Digite a n1: '))
n2 = float(input('Digite a n2: '))
calcNota = (n1+n2)/2
if calcNota < 5.0:
print('Sua média é {:.1f}, você foi reprovado'.format(calcNota))
elif calcNota == 5.0 and calcNota < 6.9:
print('Sua média foi {:.1f}, você tá na recuperação'.format(calcNota))
else:
print('Sua méd... |
999,129 | 0758176e6a487a375069b6cec7f378d49cd5063d | ### LED THINGS BELOW
# Turn backlight off
#lcd.backlight = False
#user input to switch this variable
from datetime import datetime
calibration = False
def CalibrateSensor():
if calibration == True:
print('Calibrating Black...')
CalibState = 0
else:
minR = minG = minB = 0
max... |
999,130 | 47aa3b6908fa830274bf219f816ff1df89914491 | def greet():
print("Hey there")
print("Welcome Beatriz")
greet() |
999,131 | e9ba567ee6fa84faf987d8053d7601af34f912ca | import heapq
def solve(k, xs):
ys = [-x for x in xs]
heapq.heapify(ys)
count = 0
for _ in range(k):
count += -ys[0]
heapq.heapreplace(ys, -((-ys[0]) / 2))
return count
if __name__ == '__main__':
for _ in range(int(raw_input())):
_, k = map(int, raw_input().split())
... |
999,132 | 65d16497374188369e76c754cdbfeb6c96b73b4e | import event_handling
from MathMan import variables
def reset(new_game):
variables.ghost_reset = True
event_handling.my_hero.direction = None
variables.math_man_buff = False
variables.buff_timer = 0
variables.fruit_timer = int(variables.speed_setting) * 60
variables.grid = [['BDR'... |
999,133 | 55169f46e53af88d023f59e945dd249d5a0d1629 | fist_number, second_number, third_number = [int(input()) for _ in range(3)]
if 1 <= fist_number <= 9 and 1 <= second_number <= 9 and 1 <= third_number <= 9:
for a in range(2, fist_number + 1, 2):
for b in range(2, second_number + 1):
for c in range(2, third_number + 1, 2):
if b ... |
999,134 | 5dcebc13fdfe250e37e578b3c4ddc22c08acbafd | from django.db import models
# from django.contrib.auth.models import User
# Create your models here.
class Profile(models.Model):
company_name = models.CharField(max_length=200)
description = models.TextField(max_length=200)
owner = models.CharField(max_length=200)
password = models.CharField(max_leng... |
999,135 | 90bf5a045e9343fc9b7c976994c63d8d5cf58a47 | # Generated by Django 3.1.5 on 2021-05-23 11:03
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
ope... |
999,136 | 97fdc4031bfb2d296e56728c208a44ccec5ebafd | import random
class Credito:
def __init__(self, score, renda):
self.score = score
self.renda = renda
self.REGRA_LIMITE = {
range(1, 300): self._reprovado,
range(300, 600): self._mil,
range(600, 800): self._valor_minimo_se_cinquenta_porcento,
... |
999,137 | e96a2e664a69e970a8ca55604bdd28f6fbdc0672 | from django import forms
from django.utils.safestring import mark_safe
from django.template.loader import render_to_string
from django.utils.html import conditional_escape
from django.utils.encoding import force_str
from django import VERSION as DJANGO_VERSION
if DJANGO_VERSION < (1, 8):
from django.forms.util impo... |
999,138 | 62a328bc46a06d2a5ac72926faabd72237f458e9 |
import os
import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from email.utils import formataddr
from email.header import Header
def send_automail(mail_name,stock_name,result_str,status_result,set_price,cur_val,update_time):
#send via Gmail, replace None to your us... |
999,139 | 20aed1c454a54c3e53a475c898416d85ba1c5938 | def sum_odd_fib(n):
prev_n = 0
curr_n = 1
result = 0
while (curr_n <= n):
if curr_n % 2 != 0:
result += curr_n
curr_n += prev_n
prev_n = curr_n - prev_n
return result
# Test
print(sum_odd_fib(10)) # 10
print(sum_odd_fib(1000)) # 1785
print(sum_odd_fib(40000... |
999,140 | e25ef9991dc71ea5fe6ead1df4f354bd4606aa21 | from sqlite3 import *
from random import *
import os
def convert(k):
"""Entier -> str avec un zéro devant"""
if k<10:
return '0'+str(k)
else :
return str(k)
def conv_time(t):
"""Convertit un temps t en seconde (depuis minuit) au format hh:mm:ss"""
h,m = t // 3600, t % 3600
m,s... |
999,141 | 433b1353644740b4810f955d5812583417c5a2b2 | names_list = ["Adam", "Anne", "Barry", "Barry", "Brianne", "Charlie", "Cassandra", "David", "Dana"]
# Converts names to uppercase
uppercase_names = (name.upper() for name in names_list)
print(names_list)
print(uppercase_names)
print(list(uppercase_names))
|
999,142 | 945346c3b81a7b5e94746211a4230ebb0334ba25 | # -*- coding: utf-8 -*-
import sklearn
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.externals import joblib
from collections import Counter
import re
import nltk
# from nltk.corpus import stopwords
import pandas as pd
# import numpy as np
# stopwords = set(stopwords.words("english"))
stopw... |
999,143 | 96523090c18b275a912ff90eca815704620bfb61 | import os
files = os.listdir("/home/hamza/MEGA/new/allTrain/labels/")
# print(files)
for file in files:
with open("/home/hamza/MEGA/new/allTrain/labels/"+file, "r") as f:
lines = f.readlines() #reads one line at a time
with open("/home/hamza/MEGA/new/allTrain/labels/"+file, "w") as f:
for line ... |
999,144 | e3182248083442fc8e2be38fc232701cf4564810 | import tinys3
from threading import Thread
from flask import current_app
def send_async_file(app, filename):
with app.app_context():
AWS_ACCESS_KEY = current_app.config['AWS_ACCESS_KEY']
AWS_SECRET_KEY = current_app.config['AWS_SECRET_KEY']
PAPER_BUCKET = current_app.config['PAPER_BUCKET']... |
999,145 | 991e771c104583fd339864de810fecc29d4cf57a | class Data(object):
def __init__(self):
self.path = []
self.poisition = (0,0)
def fed_data(self,data):
self.path = data
def get_path(self):
return self.path
def get_position(self):
return self.poisition
class Calc(object):
def __init__(self):
... |
999,146 | e0de855ad17a4abe30abeec2ea3b73516fee9b89 | import os.path
import io_evd.tsv
import data_transform.nMer
import classify.per_epitope
class ReadOptions:
def __init__(self, \
cdr3b_seq_field=None, \
cdr3a_seq_field=None, \
vb_gene_field=None, \
db_gene_field=None, \
jb_gene_fi... |
999,147 | 9984f4b14db8416c3d69d9b2b635e87e17675918 | ../hashUtils.py |
999,148 | f524bebbb0db85ba79d864dae83ae08063a310c6 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import spacy
import os
import pickle
from train_model import add_vectors, evaluate, main, train_spacy_model_from_zero
from train_model import preprocess_annotations, fit_dataframe
from sklearn.model_selection import train_test_split
import pandas as pd
import seaborn a... |
999,149 | 40c0f31f4137be2c8ffbc3565e2884a635616a22 | import sys
import re
import os
import shutil
import atexit
import json
import sys
import gc
import write_to_file
import first
import follow
import LL1
import Queue
import copy
import SLR_1_parser_table
import LR_0_parser_table
#import matplotlib.pyplot as plt
result_str = ""
visited = []
graph = {}
set_terminal = ... |
999,150 | c50c2d1c6ac773a25a01c58cde373a9c935b38a7 | import datetime
from sqlalchemy import Column, String, Integer, DateTime, Table, ForeignKey
from .constants import STRING_SIZE
class CustomBase(object):
''' Define base atribuetes for all table '''
id = Column(Integer, primary_key=True, autoincrement=True)
create_date = Column(DateTime(timezone=Fals... |
999,151 | a857acf390c0de60415ae500804b33efa31e943f |
# waiting for imports_1, please do not remove this line
from flask import Flask
# waiting for imports_2, please do not remove this line
app = Flask(__name__)
from mfm import routes
|
999,152 | c5179bea04cc56131bf1e76756e279ecbb4e0d6e | from __future__ import annotations
from typing import TYPE_CHECKING, Any, Dict, Literal, Optional
import numpy as np
from great_expectations.compatibility.typing_extensions import override
from great_expectations.execution_engine import (
ExecutionEngine,
PandasExecutionEngine,
SparkDFExecutionEngine,
... |
999,153 | 90324a4b0f808253e5ee37784baa772c7bb40f11 | # coding: utf-8
# This function computes the body mass index (BMI),
# given the height (in meter) and weight (in kg) of a person.
def bodyMassIndex(height, weight):
# Complete the function definition...
bmi = ...
return bmi
# This function returns the BMI category acording to this table:
# BMI: <1... |
999,154 | 2fd34374181728550ac2d8207fbc1c3949228b10 | import pygame, os, sys, random
black = ( 0, 0, 0)
white = ( 255, 255, 255)
red = ( 255, 0, 0)
lime = ( 0, 255, 0)
blue = ( 0, 0, 255)
yellow = ( 255, 255, 0)
cyan = ( 0, 255, 255)
magenta = ( 255, 0, 255)
silver = ( 192, 192, 192)
gray = ( 128, 128, 128)
darkred ... |
999,155 | 72a409dda74a302b76fe8111fca0b28455e58a8a | import numpy as np
from Galois_Field_mod_2.functions import strip_zeros, check_type
def xor(a, b):
return np.logical_xor(a, b, dtype='uint8').astype("uint8")
def gf2_add(a, b):
a, b = check_type(a, b)
a, b = strip_zeros(a), strip_zeros(b)
N = len(a)
D = len(b)
if N == D:
res = xor(a, b... |
999,156 | 04164c3107e662d651802db5247909ac39d78282 | '''
Estimate the P matrix:
Form the A matrix : 2N x 12 matrix
Estimate P with the right singular vector of V in svd(A)
Update with a nonlinear estimation routine
Predict on still balls on the table
'''
import pickle
import numpy as np
import scipy.linalg as linalg
import json
import os
import sys
#from sklearn import ... |
999,157 | c80910b0c472dbd65479834c97eac0f0a05df648 | # -*- coding: utf-8 -*-
'''
This module holds unit tests. It has nothing to do with the grader tests.
'''
from django.conf import settings
from django.test import TestCase
from access.config import ConfigParser
from util.shell import invoke_script
class ConfigTestCase(TestCase):
def setUp(self):
self.co... |
999,158 | 4baa497c9ef6ccb7c46c2c241f48335bc6350342 | import re
grammar = """
value : lst | var | pair
lst : "[" [value ("," value)*] "]"
pair : "(" value ":" value ")"
var : /[a-z]+/
"""
class Token(str):
kind : str
def __new__(cls, value, kind):
tk = str.__new__(cls, value)
tk.kind = kind
return tk
def __repr__(self):
value = super().__rep... |
999,159 | 7f14711244619ae9057ce85058e0609fa2975af9 | number = range(1,10)
numbers = list(number)
print(numbers)
print('The first three items in the list are:'+str(numbers[:3]))
print('Three items from the middle of the list are:'+str(numbers[3:6]))
print('The last three items in the list are:'+str(numbers[-3:]))
|
999,160 | 2a6b39c05c7e64d4b30bca80220d89393080131a | from aiohttp import web
from openapi_core.validation.request.validators import RequestValidator
from openapi_core.validation.response.validators import ResponseValidator
from .openapi_wrappers import (
PATH_KEY,
QUERY_KEY,
AiohttpOpenAPIRequest,
AiohttpOpenAPIResponse,
)
from .rest_oas import OpenApiSp... |
999,161 | 088fd5dd7956d41e6f024a10d58e5644fba3defc | import math
def HitungLuasSegitiga(alas,tinggi):
return 0.5*alas*tinggi
def HitungLuasLingkaran(jari):
return math.pi * jari *jari
|
999,162 | db55a4e346527b8fa3bf90b63b4b54badef0a817 | #
# PySNMP MIB module RADLAN-HWENVIROMENT (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/RADLAN-HWENVIROMENT
# Produced by pysmi-0.3.4 at Wed May 1 13:01:22 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default... |
999,163 | e7a339b8496a3d69f9f65ae35f74dfe4a931eb97 | # -*- coding: utf-8 -*-
import sys
from distutils.core import setup
# заглушка, если distutils не поддеерживает команду test
if __name__ == '__main__' and sys.argv[1] == 'test':
exit()
with open('README.md') as readme:
long_description = readme.read()
setup(
name='sentry-server',
version='',
auth... |
999,164 | 88762bbb4c10153c5f0ddd8671e74bfacb40edb9 | """ Object detection using Pretrained Tensorflow Model
Credits: This code is modified from the online TensorFlow object detection tutorial available here:
https://github.com/tensorflow/models/blob/master/research/object_detection/object_detection_tutorial.ipynb
"""
#Imports
import numpy as np
import os
import six.m... |
999,165 | 2edcfc584bcca9bca7e5c87634d45e56a0fa1188 | import os
import mysql.connector
from dotenv import load_dotenv
from Loggers import logger
load_dotenv()
class joins:
def __init__(self):
host=os.getenv('HOST')
user=os.getenv('USER1')
passwd=os.getenv('PASSWD')
auth_plugin=os.getenv('AUTH_PLUGIN')
self.db_connection... |
999,166 | e564f265b15bf29abe33554e15aeb1608ceea1de | import tensorflow as tf
import pickle
def build_estimator(model_dir, model_type="combined"):
"""Build an estimator."""
# Sparse base columns.
with open('list_articles.txt', 'rb') as f:
list_articles = pickle.load(f)
with open('list_productgroup.txt', 'rb') as f:
list_productgr... |
999,167 | 80cf6eb92061c666a496c93336cac9a38f195e15 | from django.http.response import HttpResponse, HttpResponseRedirect
from django.contrib.auth.models import Group
from django.shortcuts import render,redirect
from vehicles import forms,models
from django.contrib.auth.decorators import login_required,user_passes_test
from django.db.models import Q,Sum
##################... |
999,168 | ea536a9a1353cb1f90c85851641dbae242a225d8 | # coding = utf-8
'''
@author = super_fazai
@File : simple_menu.py
@Time : 2017/8/14 19:30
@connect : superonesfazai@gmail.com
'''
"""
创建一个菜单栏, 该菜单栏有一个退出操作的菜单
"""
'''
(Mac OS以不同的方式处理菜单栏)
要获得类似的结果, 我们可以添加以下行: menubar.setNativeMenuBar(False)
'''
import sys
from PyQt5.QtWidgets import (QMainWindow, QAction, qApp,... |
999,169 | c14c5db50cb5b6d4180c2db0684324bc5d288965 | import asyncio
import json
import typer
from hue import Light
from hue.cli.console import console
app = typer.Typer()
@app.command()
def info(
id: int = typer.Argument(1),
ip: str = typer.Option(..., "--ip", "-i", envvar="HUE_BRIDGE_IP"),
user: str = typer.Option(..., "--user", "-u", envvar="HUE_BRIDGE... |
999,170 | d4a8930ad54e6051b09c91174f2e8a00003b2ea5 | # face detection with mtcnn on a photograph. this code is to identify lips portion in face and fetch color of it.
# Then verify the selected lipstick color is matched with lips color after the lipstick has been applied.
import re
import time
import allure
import cv2
from PIL import Image
from allure_commons.types impo... |
999,171 | 4dc402b498528e4a0afe87d51497a954b24a3bcb | import logging
from typing import Tuple, Callable, Any, Generator, NamedTuple, Union, List
import numpy as np
import pandas as pd
from pandas_ml_common.sampling.cross_validation import PartitionedOnRowMultiIndexCV
from pandas_ml_common.utils import call_callable_dynamic_args, intersection_of_index, loc_if_not_none, e... |
999,172 | a6d5faa7b7cb27185b88e8e8c541c5bb3040923d |
# Importing necessary dependencies
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import pyflux as pf
filename = "Arun_Valley_export.csv" #Name of file holding CSV data of stock values and Date
data = pd.read_csv(filename)
data['Date'] = pd.to_datetime(data['Date'])
#Converting Data in mm... |
999,173 | bad588d0b6fd4e8c1704d83f5cbd615eb8e201cc | import numpy as np
grid = 9424
ma = np.zeros([300,300])
for i in range(300):
for j in range(300):
x = i+1
y = j+1
ma[i,j] = int(((x+10)*y + grid) * (x+10)/100)%10-5
max_n = -45
for i in range(300-2):
for j in range(300-2):
su_n = 0
for k in range(3):
for l i... |
999,174 | 7771c610ac7b1f571f35e1ba919e376887bf8d68 | from libs.crawler import crawl
from bs4 import BeautifulSoup
import requests, re
'''
1.매출액-시총 >=0
2.(영업이익*10)배 - 시총 >=0
3.bps >=0 --- 0
4.bps-현재가 >=0 --- 0
5.(유보율:부채비율 = 5:1)<= 20%
6.이익잉여금 >=0
7.이익잉여금-시총 >=0
8.영업이익증가율 >=0
9.per <=10
10.roe >=0
11.roa >=0
12.pbr <=1
13.eps >=0
'''
url = 'https://finance.naver.com/... |
999,175 | e803b309ae80132bd8e0f10db1bd4a0093affe56 | from visual import *
from math import *
# background
alpha=0.1
shape=Polygon([(-0.5,-0.5),(-0.5,0.5),(0.5,0.5),(0.5,-0.5)])
path=[]
for i in range(181):
newx=20*cos(i*pi/180)
newz=alpha*20+20*sin(i*pi/180)
path.append((newx,0,newz))
for j in range(181):
newx=20*cos(pi+(j*pi)/180)
new... |
999,176 | ef9f7ccce6c7249b905f40ea5d89841a2a3e44fe | from django.shortcuts import render,redirect , get_object_or_404
from .models import Core_committee
def teams(request):
comittee=Core_committee.objects
return render(request, 'teams/team.html',{'committee':comittee})
|
999,177 | fb683bfcee3018dab15e95b8143df040cb6fe20c | import os
import pickle
import random
import numpy as np
import torch
from PIL import Image
from nltk.corpus import wordnet
from torchvision import transforms
from tqdm import tqdm
def get_img_paths(imagenet_dir='/hal9000/datasets/imagenet/image/'):
try:
image_paths = pickle.load(open('/h/19/jadeleiyu/fr... |
999,178 | 1b90288c4851159841d9cdd9ffac55bcc00c7479 | """
Question 12
Question:
Write a program, which will find all such numbers between 1000 and 3000 (both included)
such that each digit of the number is an even number.The numbers obtained should be printed
in a comma-separated sequence on a single line.
Hints:
In case of input data being supplied to the question, it s... |
999,179 | 90156693c03746423b486b14eda69bb8a3f9c4a9 | # -*- coding: utf-8 -*-
# Generated by Django 1.11.20 on 2019-10-16 20:08
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('smarthome', '0001_initial'),
]
... |
999,180 | 39b0e79699167704fc080c00adaf41869e14d385 | #-* coding:UTF-8 -*
#!/usr/bin/env python
import threading
class mythread(threading.Thread):
def __init__(self, num):
threading.Thread.__init__(self)
self.num = num
def run(self):
print 'I am', self.num
t1 = mythread(1)
t2 = mythread(2)
t3 = mythread(3)
t1.start()
t2.start()
t3.st... |
999,181 | 0985717b7344df1ba53fce97491a2b95640de963 | from scipy import stats
import numpy as np
n = int(input())
arr = list(map(int, input().rstrip().split()))
a = sorted(arr)
sum = 0
for i in a:
sum +=i
print(sum/n)
#print(np.mean(arr)) print mean
length = int(len(a)/2)
x4 = a[length-1]
x5 = a[length]
median = (x4+x5)
print(median/2) #calulating median
#print(np.me... |
999,182 | 34f106c35ef5de2013d0f80af745a0f835a975e3 | numero = abs(int(input("Digite um número: ")))
for i in range(0, numero + 1):
print(i)
|
999,183 | 46f6af88cb685469beb2d863f863a69a532d815d | n = int(input())
if n == 0:
print(0)
exit(0)
mylist = []
for _ in range(n):
mylist.append(list(map(int, input().split())))
mylist = sorted(mylist, key = lambda x: x[0], reverse = True)
maxday = max(list(zip(*mylist))[1])
lec = [0]*(maxday+1)
for idx in range(n):
for i in range(maxday, 0, -1):
if mylist... |
999,184 | f83ba4a60bd5f7ba87ae5ef5031f49c02a8a184c | import numpy as np
class ex_1_1_33:
def productoPunto(self,x,y):
res=0
# print(len(x))
if (len(x)!=len(y)): return -1
for i in range(0,len(x)):
print(x[i]*y[i],i)
res+=x[i]*y[i]
print(res)
def productoMatricial(self,m1,m2):
# comprobacion... |
999,185 | ba246d2c1e012e5bc6cf161226aafd33df69828b | import requests
import base64
from django.conf import settings
def get_content_informations(nodeId, token):
auth = bytes('Basic ', "utf-8")
headers = {'Accept': 'application/pdf' , 'Authorization' : auth + base64.b64encode(bytes(token, "utf-8"))}
results = []
try:
response ... |
999,186 | c4111a6d06d7833ab7d443de1e772fbc92bb2e7c | from rest_framework import serializers
from .. import models
from .tag import TagsSerializer
class EnvironmentDetailSerializer(serializers.ModelSerializer):
client = serializers.StringRelatedField()
tags = TagsSerializer(read_only=True, many=True)
tags_id = serializers.PrimaryKeyRelatedField(
query... |
999,187 | ccc7bb4479e1faf65a334543d49fa7ff30097603 | from flaskel.ext import default
database = default.Database()
|
999,188 | 4c4075b71b39896e0235a27fbd7ffb93554da953 | import turtle
import math
import random
def draw():
window = turtle.Screen()
window.bgcolor("black")
denny = turtle.Turtle()
denny.color("white")
denny.speed(0)
rotate=int(360)
def draw_circle(t, size):
for i in range(10):
t.circle(size)
size-=4
def draw... |
999,189 | 70bc5e2b840ec438209fa9ff1226e85547f26a9e | import matplotlib
matplotlib.use('Agg')
import numpy as np
import pylab as plt
import csv
import datetime
times = []
repos = {}
fname='loc.txt'
with open(fname, 'r') as csvfile:
r = csv.reader(csvfile, delimiter=' ', quotechar='"')
for row in r:
print row
if int(row[1]) not in times:
times.append(in... |
999,190 | be54afaea13b75afed7d2cc77d5cc2368311e46b | import random
import string
class Regex:
def generate_text(self, cost):
raise NotImplementedError
def make_nfa(self):
raise NotImplementedError
def to_int(self):
raise NotImplementedError
def __repr__(self):
return self.__str__()
class RegexASCII(Regex):
def __in... |
999,191 | b6d00271e19fe0a69c1ab90b7402c273a43ef9ba | from django.test import TestCase
from corehq.apps.linked_domain.models import DomainLink
from corehq.apps.fixtures.models import (
LookupTable,
LookupTableRow,
TypeField,
Field,
)
from corehq.apps.linked_domain.exceptions import UnsupportedActionError
from corehq.apps.linked_domain.updates import update... |
999,192 | 00c075e36eed82a4847a70750934edf5dd15ffbc | import numpy as np
class Calculator:
@staticmethod
def nozzle_area(nozzle_diam):
return np.pi * ((nozzle_diam/2) ** 2)
#check valid 10/06/18 - Thomas Slusser
@staticmethod
def potential_height(mass, height, velocity):
#return height + 0.5 * mass * velocity ** 2
return he... |
999,193 | 817c82cefbe342e4c9fe2d476d8e1ab493f6c0b7 | from unittest.mock import MagicMock, patch
import pytest
from prereise.cli.data_sources.tests.conftest import (
CURRENT_DIRECTORY_FILEPATH,
STRING_DATE_2021_5_1,
STRING_DATE_2021_12_1,
TEXAS_REGION_LIST,
VALID_GRID_MODEL,
)
from prereise.cli.data_sources.wind_data import WindDataRapidRefresh
NO_I... |
999,194 | 4993934cbe0f28ebfc60596187d5cb933a15c303 | import FWCore.ParameterSet.Config as cms
# Producer for Hybrid BasicClusters and SuperClusters
from RecoEgamma.PhotonIdentification.photonId_cfi import *
# photonID sequence
photonIDSequence = cms.Sequence(PhotonIDProd)
|
999,195 | c6bef7afda542f010d4ea2e87b8612d3db4d834a | # returns all numbers that can be written as the sum of "power" powers of their digits
def digit_power(power):
numbers = []
powers = {}
for digit in range(0, 10):
powers[digit] = digit ** power
# limit of one digit
digit_max = 9 ** power
# we can get a n-digit number from that
limit_digits = len(str... |
999,196 | 76fa78728a58c6053035de4d640250fbc06e4f3c | import MySQLdb
from cassandra.cluster import Cluster
db = MySQLdb.connect("localhost","root","root","Enmetric" )
cursor = db.cursor()
cluster = Cluster(['localhost'])
session = cluster.connect('enmetric')
cursor.execute("select IF(guid IS NULL,'NULL',guid) AS guid,power_avg,power_min,power_max,power_sum,num_measurem... |
999,197 | f7c89af8d18e5432dfb3508b0016f9acd16427b9 | # vim: tabstop=4 shiftwidth=4 softtabstop=4
#
# Copyright 2013 OpenStack Foundation. 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.apach... |
999,198 | 0ca98922eda0c34020eacad44f195e123d2cd553 | """
Este script se encarga de la lectura del archivo de configuracion .ini
leyendo cada una de las propiedades correspondiente a la conexion a
la base de datos.
Siendo así más centralizado y modular el programa.
"""
from configparser import ConfigParser
# Obtener archivo de configuracion y leer sus pr... |
999,199 | 6a1029882f8d4014a4f872dff54ca85cc161e8db | import logging
l = logging.getLogger("claripy.ops")
#
# AST creation
#
def AbstractLocation(*args, **kwargs): # pylint:disable=no-self-use
aloc = vsa.AbstractLocation(*args, **kwargs)
return aloc
#
# Some operations
#
#
# sigh
#
# pylint:disable=wildcard-import,unused-wildcard-import
from .ast.base im... |
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