index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
996,800 | 1bd70b68afbf23af22673ffe3203e643e7eef276 | """
The unsigned transaction of setAccount Property (test1, value1):
{
"transactionJSON": {
"senderPublicKey": "6282332ff83fb3ce267157e5a7d04921f0b7f719aad5bf2117561c2ca7850d19",
"feeNQT": "100000000",
"type": 1,
"version": 1,
"phased": false,
"ecBlockId": "68279388... |
996,801 | d4f3a0e5e10d877778b7c3735f0c0bedf82a4f63 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import print_function
import pylab as plt
import netCDF4
import datetime
import numpy as np
"""
Testing the gridded obs-data as forcing data for SnowHow-Crocus modelling.
Author: kmunve
"""
precip_f = r"..\Test\Data\snowhow_pilot\seNorge_v2_0_PREC1h_grid_2... |
996,802 | 55ee354ae04fa2a29b471528e601966f158d3ef9 | import matplotlib.pyplot as plt
def loss(history):
plt.plot(history.history['loss'],'b')
plt.plot(history.history['val_loss'],'r')
plt.title('Collaborative Filter Loss')
plt.ylabel('Loss')
plt.xlabel('Epoch')
plt.legend(['Train','Validation'],loc='upper right')
plt.show() |
996,803 | 9f8eac69a73d32239586841251d5d0649503d5b5 | """
AWS S3 Storage backends.
We override the backends provided by django-storages to add some small pieces
that we need to make our project to work as we want. For example, using
ManifestFilesMixin for static files and OverrideHostnameMixin to make it work
in our Docker Development environment.
"""
# Disable abstract... |
996,804 | 9845b7909d0ce7c5c324edfc823cf87d630b0ba9 | #!/usr/bin/env python
import calendar
import datetime
import functools
import importlib
import uuid
from flask import jsonify, request
import minion.backend.utils as backend_utils
import minion.backend.tasks as tasks
from minion.backend.app import app
from minion.backend.views.base import api_guard
fr... |
996,805 | 463c16a1c980915894b73fc8ad3b5db0bdde9816 | from urllib.request import urlopen
def fetch_words_from_url():
with urlopen('http://sixty-north.com/c/t.txt') as story:
story_word = []
for line in story:
for word in line.split():
story_word.append(word.decode('utf-8'))
print(story_word)
if(__name__ == '__mai... |
996,806 | 5d869948e75a17bdc0b05a3fe122cbb5422c1f99 | from __future__ import print_function
def check_hash(giv_str):
h = 7
letters = "acdegilmnoprstuw"
for i in giv_str:
h = h * 37 + letters.index(i)
return h
def reverse_hash(h):
letters = "acdegilmnoprstuw"
ind = []
i = 0
while h > 37:
ind.append(int(h % 37))
h /=... |
996,807 | fc0dfa538824b623ea1d673153669100eb51f4c1 | from math import ceil
from typing import List, Optional, Tuple
import numpy as np
import pandas as pd
from time_series_expectations.generator.daily_time_series_generator import (
DailyTimeSeriesGenerator,
)
from time_series_expectations.generator.time_series_generator import TrendParams
class HourlyTimeSeriesGe... |
996,808 | 2c4b2519b277926b42327e40a92807faf645f222 | from .iterator import Iterator
from .map import map
|
996,809 | 71a24f817e08a41dd2f0acbd2154d72dd64f2b89 | //push constant 0
@0
D=A
@SP
A=M
M=D
@SP
M=M+1
//pop local 0
@LCL
D=M
@0
D=A+D
@R13
M=D
@SP
M=M-1
A=M
D=M
@R13
A=M
M=D
//label LOOP_START
(LOOP_START)
//push argument 0
@ARG
D=M
@0
A=A+D
D=M
@SP
A=M
M=D
@SP
M=M+1
//push local 0
@LCL
D=M
@0
A=A+D
D=M
@SP
A=M
M=D
@SP
M=M+1
//add
@SP
M=M-1
A=M
D=M
A=A-1
M... |
996,810 | 4d88712fd3ca77ba5eac9355bc4c64e47f5d6f0c |
from keras.layers import Input, Lambda, Dense, Flatten
from keras.layers import AveragePooling2D, MaxPooling2D
from keras.layers.convolutional import Conv2D
from keras.models import Model, Sequential
from keras.applications.vgg16 import VGG16
from keras.applications.vgg16 import preprocess_input
from keras.prep... |
996,811 | 80606e29e34e7de2b4175d931234f84775f15932 | __author__ = 'avbelkum'
import json
import requests
class liquidplanner():
base_uri = 'https://app.liquidplanner.com/api'
workspace_id = None
email = None
password = None
session = None
account_id = None
def __init__(self, email, password):
self.email = email
self.password... |
996,812 | d8b2c56d997a9f6eab054325e118f1a2e5826dbb | # -*- coding: utf-8 -*-
from app.engine_v1 import app_config, logger, image_process_wrap
from app.engine_v1.worker import BaseFuncWorker
from app.engine_v1.ai_modules.cartoongan_pt import adapter as cartoongan_pt_adapter
class CartoonganPtHayaoFuncWorker(BaseFuncWorker):
"""CartoonganPt Hayao 引擎子进程
"""
... |
996,813 | d4285afd7c255ffefdccfbc6b216032d48dd593a | import os
import configparser
class config:
"""
config.ini object
config -- list with ini data
default -- if true, we have generated a default config.ini
"""
config = configparser.ConfigParser()
fileName = "" # config filename
default = True
# Check if config.ini exists and load/generate it
def __init__(... |
996,814 | ccbc13aa937ad176d6a0bd0ae5a83b554a0e0694 | from tkinter import *
class Application(Frame):
def __init__ (self, master):
Frame.__init__(self, master)
self.grid()
self.create_widget()
def create_widget(self):
Label(self, text='Enter student information.').grid(row=0, column=0, columnspan=3, sticky=S)
Label(self, ... |
996,815 | 74dc6caa4735201a2a74b9520b4173c78b9b8e1c | from csl.node import Node
import numpy as np
import pandas as pd
from scipy.optimize import minimize
import json
import time
from threading import Thread
class Central_Node(Node):
gradients_all_sites = []
current_coefficients = []
global_gradients = []
second_nodes = []
def __init__(self, outcome... |
996,816 | 0e959128ef0d92f6696708ad93b5b8d0d6e5e945 |
# a = [12,13,14,12,12,14,13,12,14,15]
# print(a.count(14))
# li = [5,6,7,9,-1,4,67,89,100,34,12]
# print(li[:-4:-1])
#
# print(li[:4])
# print(li[4:])
# print(li[4::-1])
# print(li[-1:-4:-1])
# print(li[-4:])
# # print(li[::-1])
# print(li[-1:-4]) #输出[]
# print(li[-2:])
# print(li[2:4])
# a = [20,10,40,30]
# a.... |
996,817 | 7249f147052267f5369d523bdaa2f707454286af | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import array
from bisect import *
from collections import *
import fractions
import heapq
from itertools import *
import math
import random
import re
import string
import sys
N, M = map(int, input().split())
if N == M:
print("Yes")
else:
print("No")
|
996,818 | 24f90f5de02df5eebfef1ad2f7ec2c6d1cadd30a | # -*- coding: utf-8 -*-
# Generated by Django 1.10.4 on 2016-12-06 15:16
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migrations.Migration):
initial = True
depe... |
996,819 | a181cade60d9df91867eda22522dcc60031f4cf4 | #!/usr/bin/python
# Import the CGI, string, sys modules
import cgi, string, sys, os, re, random
import cgitb; cgitb.enable() # for troubleshooting
import sqlite3
import session
import time
import datetime
#Get Databasedir
MYLOGIN="wang1247"
DATABASE="/homes/"+MYLOGIN+"/PeteTwitt/pete_twitt.db"
IMAGEPATH="/homes/"+MY... |
996,820 | fddcf5f097b956ab6715a93545dfc5e4598f73df |
import numpy as np
import pandas as pd
from sklearn.linear_model import LinearRegression
from sklearn.model_selection import train_test_split
from sklearn import linear_model
#various new tools we'll be using for this week! :0
from sklearn.preprocessing import LabelEncoder
from sklearn.model_selection import cross... |
996,821 | fd5a46f0ccee2706734e830e59f4d2dec89ed01f | from rest_framework.pagination import PageNumberPagination
class StandardResultsSetPagination(PageNumberPagination):
"""
Classe personalizada para gerenciar a paginacao.
http://www.django-rest-framework.org/api-guide/pagination/#pagenumberpagination
"""
page_size = 100
page_query_param = "pag... |
996,822 | 7599016f5254a03d1692059c44e870e1cc84090e | import re
from autograd import jacobian
from autograd import grad
import autograd.numpy as np
from scipy.stats import uniform
from surpyval import round_sig, fs_to_xcn
from scipy.special import ndtri as z
from surpyval import nonparametric as nonp
from copy import deepcopy, copy
import matplotlib.pyplot as plt
from s... |
996,823 | a9148072db6d1b9d679e3ea8d67bf28e5e2a2174 | """
"""
import torch
import torch.nn as nn
import torch.nn.functional as F
from models.jointnet.attention2d import MultiHeadAttention2D, conv_for_sequence
def expand(img_seq, expansion):
if expansion < 2:
return img_seq
new_seq = []
for idx in range(img_seq.shape[1]):
new_seq.append(img_... |
996,824 | 2223aec1e4b37724251b8fc3506645787b877345 | from ..mapper import PropertyMapper, ApiInterfaceBase
from ..mapper.types import Timestamp, AnyType
__all__ = ['Related', 'RelatedInterface']
class RelatedInterface(ApiInterfaceBase):
name: AnyType
id: int
type: AnyType
class Related(PropertyMapper, RelatedInterface):
pass
|
996,825 | dbccf38dd819e947232e5cef74eb52ff5709f46c | # Given a list of numbers and a number k, return whether any two numbers from the list add up to k.
# For example, given [10, 15, 3, 7] and k of 17, return true since 10 + 7 is 17.
# Bonus: Can you do this in one pass?
array = [10, 15, 3, 7]
k = 16
array.sort()
print(array)
def doNumbersAddUp(array, k):
for i ... |
996,826 | 39ba870f705f9edb3932fbea0c902182891062bb | from django.http import HttpResponse
from django.shortcuts import render
def home(request):
return render(request,'home.html')
def count(request):
s = request.GET['fulltext']
count = [x for x in s.split(' ')]
if count[0]!='':
l = len(count)
return render(request,'count.html',{ 'l' : l,... |
996,827 | e9ecc0a06269ca7b2e9b02c4bb224b2c92cbf32c | """
Simulator session base class for bonsai3 library
"""
__copyright__ = "Copyright 2020, Microsoft Corp."
# pyright: strict
import abc
import logging
import sys
import numpy as np
import signal
import time
from functools import partial
from types import FrameType
from typing import Dict, Any, Optional, List
import... |
996,828 | fde23e8d38fdc0f4c083b002217088a5f6fe32fa | """This file contains functions to randomly generate mazes.
The main function in this file is generate_random_maze_matrix(), which generates
a maze with no dead ends and no open squares.
"""
import numpy as np
# Maximum iteration through a while loop
_MAX_ITERS = int(1e5)
def _get_neighbors(size, point):
"""Ge... |
996,829 | ab806de07d36635a59e031b610df681023383076 | import plotly.express as px
import csv
import numpy as np
def getDataSource( data_path):
marks_In_Percentage = []
days_Present= []
with open(data_path) as csv_file:
csv_reader = csv.DictReader(csv_file)
for row in csv_reader:
marks_In_Percentage.append( flo... |
996,830 | 4aaeab4316c3a6bc95edf87068fde3f5c7c537b3 | # -*- coding: utf-8 -*-
from PyQt5 import QtWidgets
from src.ui.main_ui.UiMain import UiMain
if __name__ == '__main__':
import sys
app = QtWidgets.QApplication(sys.argv)
MainWindow = UiMain()
MainWindow.show()
sys.exit(app.exec_())
|
996,831 | 477e3dc397ea14d7cf57b9698384ca1710dfbed0 | x = min(inp[2*cur+2], inp[2*cur+1])
inp[cur] = x
inp[2*cur+1] -= x
i |
996,832 | 8e8bf0475245def7ea91df0d00778c5ae43ab658 | from django.urls import path
from . import views
urlpatterns = [
path('', views.carros, name='carros'),
path('<int:id>', views.car_detalle, name='car_detalle'),
path('search', views.search, name='search'),
]
|
996,833 | e3e76a7a012188beb4426b0f036fe1206d8b7261 | #!/usr/bin/env python
# encoding: utf-8
"""
filter-hospitals.py
Created by Christian Swinehart on 2019/11/26.
Copyright (c) 2019 Samizdat Drafting Co. All rights reserved.
"""
import os
from csv import DictReader, DictWriter
_root = os.path.dirname(os.path.abspath(__file__))
def main():
# read in the whole huge cs... |
996,834 | ed7114f96a31a9c34e7f85baed34fe19f612704a | '''
Here we train spell checker model which is Seq2Seq model
based on different operations in 2 Levenstein len
'''
from zipfile import ZipFile, ZIP_DEFLATED
from io import BytesIO
import torch
import time
import numpy as np
import math
import yaml
import shutil
import sys
import random
import re
import os
import tran... |
996,835 | a8333756ca8a2856aefe89a4af6986e9dc3f0845 | # -*- coding: utf-8 -*-
"""ProtSTonKGs model architecture components."""
from __future__ import annotations
import logging
from dataclasses import dataclass
from functools import lru_cache
from typing import Optional
import torch
from torch import nn
from transformers import (
BertModel,
BigBirdConfig,
... |
996,836 | 0043280a430bdf989b4a829aeea0d46d670b35bc | #-*- coding: utf-8 -*-
#https://habrahabr.ru/post/280238/
#http://www.stoloto.ru/ruslotto/game
#-*- coding: utf-8 -*-
from bs4 import BeautifulSoup
import sys
#import lxml
#import requests
#try:
#f=open('/home/user/work/parsers/lot/raw4.html','r')
#f=open('raw3.html','r', encoding='utf-8')
f=open('raw4.html','r')... |
996,837 | 0b977a4dc33c23f2edec69fd3b8277022bb7436e | a = [1,3,4,5]
print(a.index(3))
print(a[1:])
# def maxSubArray(nums):
# f = [nums[0]]
# for i in range(1, len(nums)):
# f.append(max((f[-1]+nums[i]), nums[i]))
# print(f)
# return max(f)
# maxSubArray(a) |
996,838 | 2ef516b223f7dc502ee78a21a33bbc7455e0dd50 | num_string = input('Input number: ')
print(int(num_string))
print(float(num_string))
|
996,839 | dfd120591734b9e834c681a74212c13d1423d21c | r_type = {}
r_type["add"] = {}
r_type["add"]["opcode"] = "0110011"
r_type["add"]["funct3"] = "000"
r_type["add"]["funct7"] = "0000000"
r_type["sll"] = {}
r_type["sll"]["opcode"] = "0110011"
r_type["sll"]["funct3"] = "001"
r_type["sll"]["funct7"] = "0000000"
r_type["srl"] = {}
r_type["srl"]["opcode"] = "01... |
996,840 | a8f8b931c2b2bf87b51dff4e099a69ead98f3637 | default_app_config = 'algorithm.apps.AlgorithmConfig'
|
996,841 | 343d30726daac5e552a2de410c7e6f65ae352e51 | #for extracting specific content from tsv files
import csv
#cols is a list of numbers which specify which columns should be extracted
def extractColumns(path, cols, name):
with open(path, 'r') as tsvin, open(name, 'w') as t:
tsvin = csv.reader(tsvin, delimiter='\t')
tsvout = csv.writer(t, delimite... |
996,842 | 9d90940de1cee65dffa97ac35dea54b6b3357aa5 | # -*- coding: utf-8 -*-
#
# This file is part of compono released under the Apache 2 license.
# See the NOTICE for more information.
from django.conf import Settings
from django.template import Library, Node, Template, TemplateSyntaxError
from mtcompono.models import Page, Type
register = Library()
class ListTypeNo... |
996,843 | 46627acccbff0c29473e2dbcd9c23f93a368ac96 | #!/usr/local/bin/python3
def fib(n):
arr = [0, 1]
for i in range(2,n+1):
arr.append(arr[i-1] + arr[i-2])
#print(arr)
return arr[n]
#print(' '.join([str(fib(x)) for x in range(5)]))
#print (list(map(lambda x: fib(int(x))**3, [i for i in range(int(input()))])))
#print (list(map(lambda x: x**3, ... |
996,844 | 3bc159ca0bf99c9916b53007f87275c80bc63be4 | from django.shortcuts import render, get_object_or_404
from .models import Listing
from django.core.paginator import EmptyPage, PageNotAnInteger, Paginator
from .choices import price_choices, bedroom_choices, state_choices
# Create your views here.
def index(requests):
listings = Listing.objects.order_b... |
996,845 | 660c50b826aab7ae0f0456702e4a238ecae59923 | # Generated by Django 2.0.4 on 2020-11-20 19:02
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('core', '0002_auto_20201120_1632'),
]
operations = [
migrations.RenameField(
model_name='tracker',
old_name='route',
... |
996,846 | 1d08d358e2f1674fa2045e33fce057e15f75a358 | import pandas as pd
from scipy.interpolate import interp1d
import numpy as np
import matplotlib.pyplot as plt
from keras.models import Sequential
from keras.layers import Dense, LSTM, Dropout
from keras.layers.advanced_activations import LeakyReLU
def sub_Sampler(sample, subSampleLength):
'''
Pass a window of... |
996,847 | c0607656e12ed3ce924e48c839603f0954374588 | """Change EHR analysis to work with SQLite database."""
import datetime as dt
import sqlite3
import os
DAYS_IN_YEAR = 365.25
"""Create database to store data and open connection"""
if os.path.exists("ehr.db"):
os.remove("ehr.db")
con = sqlite3.connect("ehr.db")
def parse_patient_data(filename: st... |
996,848 | 3f76f62b60cf04214b9794384b388cb81d4f64a8 | from src.collect.google.get_places_from_google_api import get_google_places_for_current_of_higene_data_establishments
from src.collect.google.combine_to_overall_and_comments import combine_google_found_to_overall
from util import setup_logger
google_logger = setup_logger("google")
def get_and_combine_to_overall():
... |
996,849 | c0271f309da2be7d5c93a5e2d2177ff421883953 | #-*- coding=utf-8 -*-
#author: zhihua.ye@spreadtrum.com
"""
1. assemble sipp cmd
sipp -sf reg.xml -p 5060 -t u1 -m 1 -trace_err
2. assemble tmtc cmd
echo -n "c-reg" | busybox nc 127.0.0.1 21904
"""
import sys
import json
import os
from logConf import *
from utjsonparser import *
from time import gmti... |
996,850 | ca95509c5264c6257a233f094ad448358fcb2ff2 | Spelling checker in Python
For any type of text processing or analysis, checking the spelling of the word
is one of the basic requirements. This article discusses various ways that you
can check the spellings of the words and also can correct the spelling of the
respective word.
## Using textblob library... |
996,851 | 56b1d183e0781351833a6e2a30e8e5aff899e436 | import psycopg2
import os
from urllib.parse import urlparse
url = urlparse(os.environ['DATABASE_URL'])
dbname = url.path[1:]
db = psycopg2.connect(dbname=dbname, user=url.username, password=url.password, host=url.hostname, port=url.port) |
996,852 | 8d24fc1ed4f59a01c2fe28a614697ac5bd0ac969 | def check_equal(str1, str2):
return str1 == str2
str1 = 'hei'
str2 = 'hello'
str3 = 'hello'
print(check_equal(str1, str2))
print(check_equal(str3, str2)) |
996,853 | ffee632df6dd2467eaaba69ada94a059fcba73cb | from my_home_server.models.user import User
class AuthenticationContext(object):
__authentication_context = None
@staticmethod
def init_context(user: User):
AuthenticationContext.__authentication_context = AuthenticationContext()
AuthenticationContext.__authentication_context.current_use... |
996,854 | 9c65b135d6566e780f451c5e1e4efb690576b323 | from enum import Enum
from pydantic import BaseModel
class MyException(Exception):
pass
class Index(str, Enum):
KeyRate = "Ключевая ставка"
USD = "Курс USD"
EURO = "Курс EURO"
CurrencyRate = "Курс обмена"
class Information:
def __init__(self, dt):
self.name = None
self.date ... |
996,855 | 35301682e0ed9e4fb98ee66a673f51f12b62fb59 | import argparse
import cv2
import matplotlib.pyplot as plt
import key_feature_extraction as key
def setup_cli():
parser = argparse.ArgumentParser()
parser.add_argument("path")
parser.add_argument("-c", "--canny", action="store_true")
parser.add_argument("-d", "--distance")
parser.add_argument("-f"... |
996,856 | a3ade0a1697fde66c59795fa8aa20162ff8a8ab3 | import numpy as np
from progressivis.core.utils import (slice_to_arange, indices_len, fix_loc)
from . import Table
from . import TableSelectedView
from ..core.slot import SlotDescriptor
from .module import TableModule
from ..core.bitmap import bitmap
from .mod_impl import ModuleImpl
from .binop import ops
from collec... |
996,857 | 57421a8355d18c2893a9b8f6326c9526663e1904 | # -*- coding: utf-8 -*-
"""
Created on Mon May 21 15:22:39 2018
@author: Ramsey
"""
import numpy as np
import matplotlib.pyplot as plt
# get a bifurcation plot of x^2+c
# start with x = whatever, maybe 0?
def func(x, c):
return np.multiply(x,x) + c
lower_bound = -2
upper_bound = .25
step_size =... |
996,858 | 27995f9d9a2c76eea33d8e70204fd5e687f5e489 | arr = input().split(' ')
(a, b) = tuple((int(x) for x in arr))
area = a * b
circumference = (a + b) * 2
print(area, circumference) |
996,859 | dc047277174409e061d51dbdfff9ba635888c9db | #!/usr/bin/env python3
import numpy as np
import pytest
from sklearn.neighbors import NearestNeighbors
import deann
import sys
from extern.brute import BruteNN
from extern.faiss import FaissIVF
import time
def gaussian_kernel(q,X,h):
return np.exp(-np.sum((q[None,:]-X)**2,axis=1)/h/h/2)
def exponenti... |
996,860 | 0dc5e6c58f0d10a7c61075ae933703c4a990f359 | print "The %(foo)s is %(bar)i." % {'foo': 'answer', 'bar':42}
print("The {foo} is {bar}".format(foo='answer', bar=42))
|
996,861 | 7bfee06201d235ff4de39f188414bc7b61fc6dcf | import re
re.search('n','\n') #first item is pattern and second item is string
#when we run above code , we did'nt get anything because in python '\n' means new line, it is not
#two character , it is a single character i.e new line
re.search('n','\\n')
#But when we give double \\ we will get the result, so a e... |
996,862 | 8419f0225e4b5bbafd79d433faf727a81ef922d5 | import cgi
#dates
months = ['January',
'February',
'March',
'April',
'May',
'June',
'July',
'August',
'September',
'October',
'November',
'December']
def valid_month(month):
if month.title() in ... |
996,863 | 4df7f4c758cbe6af348d7bd33737eb4c75447e87 | def delete():
conn = sqlte3.connet("tasklist.db")
c = conn.cursor
c.execute("DELETE FROMtaska WHERE oid=" + delete_box.get())
delete_box.delete(0, END)
# commit changes
conn.commit()
# close connection
conn.close |
996,864 | 7b106035a1b14d413ef6481fe3cf19d0a4c5f92c | import requests
from flask import url_for
from application.core.constants import LANDING_MESSAGE
# ACCESS_TOKEN = os.environ['ACCESS_TOKEN']
ACCESS_TOKEN = 'EAACy5fCj3rgBAP98hkUBZB2GCgecTnWfPz1b47b0SeLSq2QZAD8lvJxZCrnNlxrvuEQV3vVxqQ3CNER49BZCTlAlBvPMx6XX0f8K8cPGF9cQvXgJwboPLVwJPxOuMrZAAWl2AFaCSFJ2EROyhPEVxv0hfiZClq... |
996,865 | 6456ec6e482bcec0d8f8bb29b1552d6a64bc8a08 | #!/usr/bin/env python
import time
import serial
class car:
def __init__(self, port = '/dev/ttyACM0',baud_rate = 9600):
try:
self.car = serial.Serial(port, 9600)
print "Arduino connected on port {}".format(port)
except (RuntimeError, TypeError, NameError):
print "... |
996,866 | 1a02545ad87d5b3eb7d6684b94aab0b39eb816eb | import os
import requests
import git
import shutil
from getpass import getpass
ORG = 'EC327-Fall2019'
def parse_students():
students = []
student_count = 0
while True:
filename = input("Enter the path to your usernames file: ")
if os.path.exists(filename):
break
print("Invalid file")
with open(filename, ... |
996,867 | a7ca18c6fefb9afdec3d94a3ab85a668c8e9ed85 | # Fails : 181. py
# Autors : Egils Keišs
# Apliecibas numurs : 181REB314
# Datums : 03.12.18
# Sagatave funkcijas saknes mekleeshanai ar dihatomijas metodi
# -*- coding : utf -8 -*-
from math import cos, fabs
from time import sleep
def f1(x):
return ((x*x)+x+1)/((cos(x)*cos(x)+0.1)
h=0
a = 0.; b = 6.2832
I1 = 0.
... |
996,868 | cf6f19680bfe942e813a3e922b207c7be9cf8b54 | # -*- coding: utf-8 -*-
import datetime
from django.db import transaction
from django.db.models import Q
from django.shortcuts import render, get_object_or_404
from django.contrib.auth.decorators import login_required
from django.contrib import auth, messages
from django.shortcuts import render
from django.http import... |
996,869 | c6dce336c8ea75fabfab3eb538b8232e7ed789f3 | from django.db import models
from django.contrib.auth.models import User
class Profile(models.Model):
user = models.OneToOneField(User, on_delete=models.CASCADE, related_name='profiles')
country = models.CharField(max_length=250, blank=True, null=True)
b_day = models.DateField()
|
996,870 | b951349dd94a0d15dacfe36c9cc7f8e744fbfaee | #!/usr/bin/env python
# coding: utf-8
# # Training a ConvNet PyTorch
#
# In this notebook, you'll learn how to use the powerful PyTorch framework to specify a conv net architecture and train it on the human action recognition dataset.
#
# In[30]:
#ip install -r requirements.txt
# In[1]:
import torch
import t... |
996,871 | cf0ab04f13d89f1d9a214857e0ddf6d434343b55 | # file: intersect.py
"""
Measuring the time for searching in a list and a set including
creation time of the data structure.
"""
import timeit
from searching import compare
def intersect_list(n):
"""Measure the run time for intersecting two lists.
"""
list_a = range(n)
list_b = range(n-3, 2 * n)
... |
996,872 | a781d858c1e8c02c4bd691f9fe847fe576644d9a | from mongodm.base import BaseDocument
class Document(BaseDocument):
pass
class EmbeddedDocument(BaseDocument):
pass |
996,873 | 1edec8277868635625b27a27dd4f1a269c1df6c7 | from TrainOfHope import os, db
from datetime import datetime
class Event(db.Model):
__tablename__ = "events"
id = db.Column(db.Integer, nullable=False, primary_key=True, autoincrement=True)
title = db.Column(db.Text,nullable=False)
location = db.Column(db.Text,nullable=False)
description = db.Co... |
996,874 | 86e69cc691520d41209e9e3b1062ab281b93a296 | #! C:\Users\Gherardelli\Documents\PortableApps\WinPython\python-2.7.10\python.exe
'''
Define authentication and other basic functions for Twitter interaction
'''
import twitter, json, os
CONSUMER_KEY = ""
CONSUMER_SECRET = ""
ACCESS_TOKEN = ""
ACCESS_SECRET = ""
def t_auth(consumer_key, consumer_secret, access_token,... |
996,875 | 1362a720abe444302c291ca65723fee7189fd0be | import gdata.youtube
import gdata.youtube.service
from urlparse import parse_qs, urlsplit
from sciencecombinator.settings import YOUTUBE_SECRET_KEY
from science_combinator.models import AcceptedCategory
class YoutubeService(object):
def _is_valid_video(self, video, categories):
cat = video.media.catego... |
996,876 | 8e0af4d27d8355f231a4029ec90694e86405c0d5 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Tests for LLVM benchmark handling."""
import re
import subprocess
import tempfile
from pathlib import Path
import gym
import pytest
from c... |
996,877 | 0daeed2ec34474a3e16f8ba2d1dedb98bfc0abfb | from flask import Flask, render_template, flash, redirect, request, url_for
from flask_mqtt import Mqtt
from flask_socketio import SocketIO
import ssl
import subprocess
import atexit
import time
import json
from config import *
# Activate python enviroment:
# source venv/bin/activate
# Deactivate python enviroment:
#... |
996,878 | 5ea4f36b0bdd255c3b0b2cb41468d0c8f7ce269f | #!/usr/bin/python3
import linecache
import ovirtsdk4 as sdk
import argparse
import threading
import time
cracked = False
def ovirt_login_wrapper(url, username, password):
return sdk.Connection(url=url,
username=username,
password=password,
... |
996,879 | 4155a5365df16ba7608d1cf669befaca6d7b1b57 | def powerof2(n):
# base cases
# '1' is the only odd number
# which is a power of 2(2^0)
if n == 1:
return True
# all other odd numbers are not powers of 2
elif n%2 != 0 or n == 0:
return False
#recursive function call
return powerof2(n/2)
# Driver Code... |
996,880 | 69f054f4823c62780e974cb7b2ef786e80d8db85 | import mxnet as mx
import cv2
from collections import namedtuple
from os.path import join
from mxnet import nd
import numpy as np
import pdb
import matplotlib.pyplot as plt
import sys
##from dataset_loader import DatasetLoader
def format_image(image):
'''Detecte face (using OpenCV cascade classifier) from given fr... |
996,881 | 21c9d83241175693af3598597a21bb1a8e3623ab | import numpy as np
import pandas as pd
from pandas import DataFrame, Series
import praw
import re
import time
rscotch = pd.read_csv('rscotch.csv')
new_cols = rscotch.columns.values
new_cols[1] = 'name'
new_cols[3] = 'link'
new_cols[2] = 'user'
for i in range(len(new_cols)):
new_cols[i] = new_cols[i].lower()
rscot... |
996,882 | c3e00c28f488cda379c3168cd09f0d1295da33ba | #!/bin/env dls-python
from pkg_resources import require
require("mock")
require("cothread")
import unittest
import sys
import weakref
import os
import cothread
import logging
#logging.basicConfig(level=logging.DEBUG)
# Module import
sys.path.append(os.path.join(os.path.dirname(__file__), "..", ".."))
from malcolm.core.... |
996,883 | a0d2b29b5baac76ca6fb50dd4097121fb44b457a | # Generated by Django 2.0.1 on 2018-01-31 01:05
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('main', '0012_auto_20180130_1922'),
]
operations = [
migrations.AlterField(
model_name='event',
name='maps_url',
... |
996,884 | f42c5c9dcec1e8d01deb1c54aecc9df5392c26b7 | from colors import PICO_DARKGRAY, PICO_PINK, PICO_WHITE
from v2 import V2
from animrotsprite import AnimRotSprite
import random
import math
import particle
import bullet
import helper
from healthy import Healthy
FLEET_RADIUS = 15
TARGET_POWER = 4
FLEET_HEADING_POWER = 1
FLEET_SEPARATION_POWER = 1
FLEET_SEPARATION_DEG... |
996,885 | 8ebe10b35e358eb2dcef80d741d69d3bf59ed6da | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Set de funciones para normalización de textos.
Created on Wed Aug 20 2014
Modified by analysis on Thu Aug 28 2014
Finish on (esto espera a que termine el experimento 14)
.. version: 0.2
.. release: 0.2-RC1
.. author: Abel Meneses abad
"""
import re, os
import string
L... |
996,886 | 6777a215f3284cdb9e7d206295c53516661467bf | import inspect
import os
import shutil
import luigi
projdir_struct = {
'bin':None,
'conf':None,
'doc' :
{ 'paper': None },
'experiments' :
{ '2000-01-01-example' :
{ 'audit':None,
'bin':None,
'conf':None,
'data':None,
... |
996,887 | 436d6b72eb2b0623fe5d9eb5cbd83a97e438a3ad | import math
import numpy as np
import matplotlib.pyplot as plt
def graph(formula, first, last):
x = np.linspace(first,last,100)
y = eval(formula)
plt.plot(x, y)
plt.show()
common = 0
degree = 0
data = []
numofnums = input("How many numbers are there? ")
for x in range(numofnums):... |
996,888 | d29de7d1b69180ec93bfb1e67a02f3a91f753ebe | #!/usr/bin/python3
"""number_guess.py, an implementation of the number guess task"""
__author__ = "Steve McGuire"
__contact__ = "s.mcguire@hud.ac.uk"
import random
secret_number = random.randint(0, 101)
print(secret_number)
counter = 1
while True:
try:
response = int(input("Please guess a number"))
... |
996,889 | b2d378bdcae8d24e60401dd27093d96219dc6e8f | # Jesse Nayak
# jdn4ae
# 2/22/15
# helper.py
def greeting(msg):
print(msg) |
996,890 | fe3b209f3f56de522c51dc7dbeab03f834ee370d | from models import Balances, Member, Charity, Team, TeamMemberList, Invite
from django.core.exceptions import ObjectDoesNotExist
#Gets every balance associated with the user
def getAllBalance(user):
member = Member.objects.get(user=user) #get member from current user
balances = None
try:
balances =... |
996,891 | 527a91169240bb5d7ba72a2dc4a4b0458f020a84 | # this is a 1 line comment
"""This is
a multiple line
comment"""
print("Hello World")
name = "John Doe"
_age = "20 years old"
grade = 100
# _age = 30
location = "I'm from Philippines"
location2 = 'I\'m from Japan'
message = "My name is " + name
add = 100 + 200
print(add)
print(message)
print(name)
print(_age)
print(... |
996,892 | aa708eb91cdda73c6c19d3bc2da8be172620cc5c | # Author: Charse
'''支持向量机（回归）
'''
import numpy
from sklearn.datasets import load_boston
from sklearn.model_selection import train_test_split
from sklearn.svm import SVR
from sklearn.preprocessing import StandardScaler
from sklearn.metrics import mean_squared_error, mean_absolute_error
# 从读取房价数据村粗在变量中
boston = load_b... |
996,893 | 3de5ab8587f884634a8d19943c28a3fcbe450a65 | import pygame
from chess.constants import WIDTH, HEIGHT, CELL_SIZE, BLACK, button_font, RED, GREEN
from chess.board import Board
import sys
pygame.init()
FPS = 60
WIN = pygame.display.set_mode((WIDTH, HEIGHT))
pygame.display.set_caption("Chess")
clock = pygame.time.Clock()
clock.tick(FPS)
events = None
def text... |
996,894 | 9940e52581635e4f85e53b25ea91e382f387e7de | # --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incor... |
996,895 | 00b45fa4b6d754bbea965ca74279bdd935c661ac | #8.14
def game_info(tytuł, gatunek, **cechy):
"""Pokazuje informacje o grze."""
gra = {}
gra['Tytuł'] = tytuł
gra['Gatunek'] = gatunek
for k, v in cechy.items():
gra[k] = v
return gra
gra = game_info('LoL', 'MOBA', Wydawca='Riot Games')
print(gra)
|
996,896 | 9cf98933a0f86babe4a6647f1298b11114f55019 | ###############################################################################
# #
# Dense.py #
# J. Steiner ... |
996,897 | 4747c7f5f3f776e3e8067d685efd973ad3285e7d | import ctypes
from ctypes import wintypes
import time
user32 = ctypes.WinDLL('user32', use_last_error=True)
INPUT_MOUSE = 0
INPUT_KEYBOARD = 1
INPUT_HARDWARE = 2
KEYEVENTF_EXTENDEDKEY = 0x0001
KEYEVENTF_KEYUP = 0x0002
KEYEVENTF_UNICODE = 0x0004
KEYEVENTF_SCANCODE = 0x0008
MAPVK_VK_TO_VSC = 0
# msdn... |
996,898 | 42c3c5b61ab1bdf9dfb0a2747ed3530b2ce49a66 | #
# Copyright (c) 2015 Conrad Dueck
#
# All rights reserved.
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright
# notice, this list... |
996,899 | a085bb994bc0eaafe69f307ce5a78d0cb2bd1bae | #!/usr/bin/env python
import sys
import string
#takes a list of pdbs with characters of the chains you want to keep
# example 1uad.pdb A,C
if __name__ == '__main__':
pdbchainlist = open(sys.argv[1])
for eachline in pdbchainlist:
if len(eachline) < 2:
print "Line is empty. Moving on..."
... |
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