index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
988,900 | 5ac27ada56a365bb33cc0776218c291a414cc2de | import argparse
import datetime
from collections import defaultdict
import fire
import os
import matplotlib.pyplot as plt
import numpy as np
import time
import torch
import torch.distributed as dist
import torch.multiprocessing as mp
import logger
from torch.nn.parallel import DistributedDataParallel as DDP
import math... |
988,901 | ac0d317884bedab6a5b055b7139da844b5d09885 | #!/usr/bin/python
from collections import OrderedDict
def find_rank_index(scores, alice_score, current_rank_index = 0):
for i in range(current_rank_index, -1, -1):
#print "searching start from index = ", i, " score = ", scores[i], " alice_score =", alice_score
if scores[i] > alice_score:
... |
988,902 | 282e651640d53c034c7cc342dccb4b61b5f37d66 | from __future__ import annotations
import logging
import math
from typing import Dict, List, TYPE_CHECKING, Type
from dcs.mapping import Point
from dcs.task import Task
from dcs.unittype import UnitType
from game import persistency
from game.debriefing import AirLosses, Debriefing
from game.infos.information import ... |
988,903 | abb78de6f14cd69a1ae132b750e437ac6342078b |
from prediction.randomforest_hist_prediction import RandomForestPrediction
from preprocessing.dataset import DatapointKey as DK
import os
def run_experiment_grid_prediction():
n_bins = 20
n_estimators = 1000
input_path_sim = os.getenv("DSLAB_CLIMATE_LABELED_DATA")
definitions = [DK.CP07, DK.UT, DK.U... |
988,904 | d1cd13fe7d5fd257acf9e4ef57c5ed5193da7ebf | import sys
import math
def solve(ss):
sums = [(0,[])]
for i in range(len(ss)):
s = ss[i]
sums += [(x[0]+s, x[1]+[s]) for x in sums]
sums.sort()
for i in range(1, len(sums)):
if sums[i-1][0]==sums[i][0]:
return (sums[i-1][1], sums[i][1])
return None
def readline(... |
988,905 | 493c9a6a491db44e6ef7036e32cf25c607a95629 | import gevent
from gevent.monkey import patch_socket; patch_socket()
from gevent import spawn
from irc import Dispatcher, IRCBot
host = 'irc.freenode.net'
port = 6667
nick = 'spawnbot'
rooms = ['#lawrence-botwars']
MAX_BOTS = 11
BOTS = []
class SpawningDispatcher(Dispatcher):
def spawn(self, sender, message, ... |
988,906 | a4b8b77cd5b2186e0ee471c5850087eddd5a14c4 | import cv2
import numpy as np
image = cv2.imread('./img/Origin_of_Species.jpg', 0)
cv2.imshow('Original', image)
ret, tresh = cv2.threshold(image, 127, 255, cv2.THRESH_BINARY)
cv2.imshow('Limiarizacao Binaria', tresh)
cv2.waitKey(0)
cv2.destroyAllWindows()
|
988,907 | 17ee566154ad0d3f9d93b20d05605f67d7bfc167 | from sofi.ui import Strikethrough
def test_basic():
assert(str(Strikethrough()) == "<s></s>")
def test_text():
assert(str(Strikethrough("text")) == "<s>text</s>")
def test_custom_class_ident_style_and_attrs():
assert(str(Strikethrough("text", cl='abclass', ident='123', style="font-size:0.9em;", attrs={"d... |
988,908 | b0da1a80bd6cbcb822f404fe55a1069bff2f0421 | import os
import requests
import time
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from skimage import data, io
from skimage.transform import rescale, resize
from skimage import img_as_ubyte
def get_big_page_id(Title):
TITLE = Title
BASE_URL = "http://en.wikipedia.org/w... |
988,909 | 1754d1c82180ffece03b14603c971f7b983ce99b | import numpy as np
import operator
import matplotlib.pyplot as plt
from Construction import constructMatrix
from Construction import popSearchQueue
from Construction import constructGoalMatrix
# Define the node class
class Node():
def __init__(self, parent=None, state=None):
self.parent = parent
... |
988,910 | 5f606482c2ed8218581294dd89828230a1c73c95 | #!/usr/bin/env python
#-*- coding: utf-8 -*-
# this python script is to calculate electronic coupling between two specific frontier orbital using block diagonalization method.
# steps
# 1) build whole matrix from the raw lower triangle matrix
# 2) block-diagonalize the matrix
# 3) get the wanted orbital and the rela... |
988,911 | 6357d4f459fe7f62aaa39a14e44681c8561b6794 |
from celery_config import app_task
from importlib import import_module
import pkgutil
import os
import sys
import tasks
from tasks.computation.sum import Sum
if __name__ == '__main__':
task_b = Sum()
task_b.delay(1, 201.0)
|
988,912 | 2c3ceb288fd67340bfa77201fbe2a4946d86b50a | import numpy as np
def dfs(t,e,n):
global top
global stack
global book
if top==n-1:
return
for i in range(n):
if book[i]==0 and e[t][i]==1:
book[i]=1
top+=1
stack[top]=i
dfs(i,e,n)
return
def bianli_dfs(e,sta... |
988,913 | f8485d30fce6ff9d2f7fc16d8e0ee9a669e2c20e | # -*- coding: utf-8 -*-
# Filename: __main__
# Author: brayton
# Datetime: 2019-Oct-14 2:59 PM
print('>>>>>>>>>... hello')
|
988,914 | f6ad22212408baac5a95e73976c0c9a136713a22 | import RPi.GPIO as GPIO
import time
import DHT_read as DHT
dhtPin =11
def loop():
dht= DHT.DHT(dhtPin)
sumCnt = 0
while (True):
sumCnt +=1
chk =dht.readDHT11()
print("The sumcnt is : %d \t chk: %d" %(sumCnt, chk))
if (chk is dht.DHTLIB_OK):
print("DHT11... |
988,915 | 2bef4385451b7c0af819217141c201a4955c5378 | # -*- coding: utf-8 -*-
"""
Created on Mon Apr 24 20:54:37 2017
@author: Саша
"""
import numpy as np
from keras.datasets import cifar10
from keras.models import Sequential
from keras.layers import Dense, Flatten
from keras.layers import Dropout
from keras.layers.convolutional import Conv2D, MaxPooling2D
from keras.ut... |
988,916 | fe46ec4aabb910743e36293742ecc202447c9b1b | #CSDojo
a_string = 'ABCDD'
def Longest(a_string):
dic = dict()
stack = ''
i = 0
for i in range(len(a_string)):
if a_string[i] in stack:
stack += a_string[i]
if i == len(a_string) - 1:
dic[a_string[i]] = len(stack)
else:
if stack != '':
dic[stack[0]] = len(stack)
stack = a_string[i]
if... |
988,917 | 9267528cc6ad48858f66786a7ae8c746b2d3bdd2 | # Generated by Django 3.0.5 on 2021-04-03 20:32
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('appMediSystem', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Cita',
... |
988,918 | 8516a3f0abe80f8122a967023fa736a98cbb376d | import boto3
import json
import time
import random
import pandas
import datetime
def isValidGame(game_modes,human_players,duration):
if game_modes[0] in (1,2,3,5,16,22) and human_players[0] == 10 and duration[0]>780:
return True
return False
def generate_kinesis_record(item):
JSON = json.dumps(info)
return ... |
988,919 | 645aff6c36e8a1525f26a6692d15c416dd95b420 | from ConfigParser import ConfigParser, NoOptionError
from sqlalchemy.orm.exc import NoResultFound
from sqlalchemy.orm import sessionmaker
import acserver
from core.events import eventHandler
from core.consts import *
from Authentication import database as db
engine = None
AuthenticatedClients = {} #Key: CN, Value:... |
988,920 | e90768eb32344e17a011baac349c9084e0f9e2b7 | n=int(input())
for i in range(n):
m=int(input())
sr=5
zeros=0
while sr<=m:
zeros=zeros+int(m//sr)
sr=sr*5
print(zeros)
|
988,921 | 51dad57a70ba01736e15d5f94c132f426854172c | import time
def randomized(x, y):
# method to generate a random number in a certain interval
from random import randint
return randint(x, y)
def cracker_per_digit(x):
# method to crack a password digit per digit
start = time.time()
lista = list(x)
cracked = []
tmp = 0
cycle = 1
... |
988,922 | 6ab3fd7aa95331452a36cd690a50f4ed46369145 | # -*- coding: utf-8 -*-
"""
Created on Mon Jan 4 22:30:05 2021
@author: Aaron
"""
import pandas as pd
import datetime
import matplotlib.pyplot as plt
def convert_to_right_format(x):
year,month,day,hour=x.split("_")
return datetime.datetime(year=int(year),month=int(month),day=int(day),hour=int(h... |
988,923 | 530cce61380ef4e2175292cba6782da3cb3ce1a3 | stopWords = open('english.stop', 'r').read().split()
f = open('stopwords.py', 'w')
print >> f, "stopWords = ", stopWords
|
988,924 | fea767b8aa2f148d618001313aa47bbedb34a24a | #
# See the documentation for more details on how this works
#
# The idea here is you provide a simulation object that overrides specific
# pieces of WPILib, and modifies motors/sensors accordingly depending on the
# state of the simulation. An example of this would be measuring a motor
# moving for a set period of tim... |
988,925 | 459f0241e20c89f56ae5817937d4f1fec891a8ab | ### Copyright (C) 2017 NVIDIA Corporation. All rights reserved.
### Licensed under the CC BY-NC-SA 4.0 license (https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode).
import time
import os
import numpy as np
from collections import OrderedDict
from torch.autograd import Variable
from options.test_options import... |
988,926 | f2ffdcd359ceb44b1955014aa1f7d01d3c2e3194 | import numpy as np
import SimpleITK as stk
import os
from PIL import Image
import random
from random import shuffle
import tensorflow as tf
#classification index value
nothing = 0
bone = 1
bonesLId = 8
bonesRId = 9
# this function, checkes if path exisits, and if isn't exisits create this path.
def createPathIfNot... |
988,927 | 080c5e9d389b3d065b72897377e2fa55098f1d88 | from setuptools import setup
VERSION = "0.1.8"
setup(
name='Xlsxcursor',
description="Xlsxcursor for xlsxwriter.",
version=VERSION,
url='https://github.com/KokocGroup/xslxcursor',
download_url='https://github.com/KokocGroup/xslxcursor/tarball/v{}'.format(VERSION),
packages=['xlsxcursor'],
... |
988,928 | e5a341db2cd6fddcbd30dcce9c95f4f5f261e39c | def fact_sum(num):
sum1=0
for i in range(1,(num//2)+1):
if (num%i==0):
sum1=sum1+i
return sum1
count=0
fact_dict = dict()
for x in range (1,100000000):
if(count==10):
break
fact_sum_x = fact_sum(x)
if fact_sum_x==x:
continue
if x==fact_sum(fact_sum_x):
if x in fact_dict.keys():
continue
fact_d... |
988,929 | 4f429d30b103bebafce7c5e2cffd09c29822c629 | # Generated by Django 3.2.3 on 2021-06-08 19:01
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('Messages', '0001_initial'),
]
operations = [
migrations.AlterModelOptions(
name='message',
options={'ordering': ('da... |
988,930 | ffdb0ac3bc3de5df8a2a0e54b0089b9da82690ce | import base64
import json
from datetime import datetime
from urllib.parse import urljoin
import parsel
import requests
import app.database
import app.queue
import worker
from model import File, Result, Site
from model.configuration import get_config
USER_AGENT = 'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:40.0) '\
... |
988,931 | 0f4bf478920604b4f994fdba7a77b643181f435d |
from openpyxl import Workbook
from openpyxl import Workbook
from openpyxl.compat import range
from openpyxl.cell import get_column_letter
from openpyxl import load_workbook
import time
import math
from openpyxl.styles import colors
from openpyxl.styles import Font, Color
from openpyxl.styles import colors
from constan... |
988,932 | 1a8bddfee49e44e78ef81547b00e41cf8aeed1c2 | # coding: utf-8
from Text_CNN import TextCNN
import numpy as np
import tensorflow as tf
from sklearn.metrics import f1_score, roc_auc_score
import os
def predict(filter_sizes, num_filters, num_classes, learning_rate, batch_size, decay_steps, decay_rate,
sequence_length, vocab_size, embed_size, X_test, y_te... |
988,933 | e0fce33aee150656b6dd5ff681ba064a7a4c94a4 | import json
import sys, argparse
import os
import webbrowser
from plotly.offline import plot
import plotly.graph_objs as go
import plotly.figure_factory as ff
import HelperMethods
import Graphs
# OutputData Settings
Heatmap_Color = [[0.0, 'rgb(255,23,68)'], [0.5, 'rgb(255,234,0)'], [1.0, 'rgb(0,230,118)']]
Heatmap_M... |
988,934 | 6e62369f40f41ff529083d0ed83938c6576d0973 | # -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
# $Id: admin.py 433 2009-07-14 04:10:28Z tobias $
# ----------------------------------------------------------------------------
#
# Copyright (C) 2008 Caktus Consulting Group, LLC
#
# This file is part of minib... |
988,935 | 8ba39b19da7921775b579b20ac22808351235c35 | """Module to extract data from CMIP NetCDF data files.
This module wraps the area extraction funcionality from
`kcs.utils.coord`. It can run multiple processes in
parallel. Extracted datasets can be saved (by default) to disk, in
subdirectoriees named after the variable and area (given by a template
that follows Pytho... |
988,936 | 1bb146cf5bc9d0992121a00b24773d58f6c31083 | import sys, os, numpy
from scipy.stats import mannwhitneyu, wilcoxon
from glbase3 import *
import matplotlib.pyplot as plot
sys.path.append('../../../')
import shared
def bundle_up_by_name(mode, all_genes, tes, _draw_hist=True):
# First I need to bundle them up by their name;
bundles = {}
for gene in all_g... |
988,937 | 7af16e351166cde99e46bbd7f47f34417f29789f | """
Utility classes
---------------
"""
from __future__ import annotations
import typing as t
import typing_extensions as te
import warnings
from collections import namedtuple
__all__ = ['NameTitle', 'LabeledEnum', 'InspectableSet', 'classmethodproperty']
NameTitle = namedtuple('NameTitle', ['name', 'title'])
cla... |
988,938 | cbe1f1af179dff15ba3a86f3ab06c09f0fdc3afe | import sys
from traceback import StackSummary
class Traceback(Exception):
__slots__ = ('tb',)
def __init__(self, tb):
self.tb = tb
def __str__(self):
return '\n\nTraceback (most recent call last):\n' + self.tb.rstrip()
def walk_tb(tb):
"""Walk a traceback yielding the frame and lin... |
988,939 | a211fc0c920293c87210932fe7fa05ee39d42605 | TABLE = [ 0x39cb44b8, 0x23754f67, 0x5f017211, 0x3ebb24da, 0x351707c6, 0x63f9774b, 0x17827288, 0x0fe74821,
0x5b5f670f, 0x48315ae8, 0x785b7769, 0x2b7a1547, 0x38d11292, 0x42a11b32, 0x35332244, 0x77437b60,
0x1eab3b10, 0x53810000, 0x1d0212ae, 0x6f0377a8, 0x43c03092, 0x2d3c0a8e, 0x6295... |
988,940 | 483328f3b2fc411526c9d12d06960e2224a1aa9b | """
Support Vector Machine for handwritten digit classification
SVMs are great for small datasets
Created by : Saranya Rajagopalan
Date : 17-02-2018
"""
import numpy as np
from matplotlib import pyplot as plt
x = np.array([
[-2, 4, -1],
[4, 1, -1],
[1, 6, 1],
[-2, 4, 1],
[2, 4, 1],
])... |
988,941 | 7dda29071ef8e9c076de7d7ead238e4b675231b5 |
# -*- coding: utf-8 -*-
"""
ORIGINAL PROGRAM SOURCE CODE:
1: import warnings
2: import functools
3:
4:
5: class MatplotlibDeprecationWarning(UserWarning):
6: '''
7: A class for issuing deprecation warnings for Matplotlib users.
8:
9: In light of the fact that Python builtin DeprecationWarnings are igno... |
988,942 | 765e7c4b81a598a413322c1f030fbc14180e2a3e | import nemaktis as nm
import numpy as np
import os.path
if os.path.isfile("optical_fields.vti"):
# If the optical field were already calculated and exported by this
# script, we directly load them
output_fields = nm.OpticalFields(vti_file="optical_fields.vti")
else:
# Else, we need to load a director... |
988,943 | 3b187a83070a05fac3c0728ddc31d3086eaf8c22 | #!/usr/bin/env python
import time
import threading
import RPi.GPIO as gpio
gpio.setwarnings(False)
gpio.setmode(gpio.BCM)
trig = 14
echo = 2
gpio.setup(trig, gpio.OUT)
gpio.setup(echo, gpio.IN)
gpio.output(trig, False)
print "Waiting..."
time.sleep(2)
gpio.output(trig, 1)
time.sleep(0.00001)
gpio.output(trig, 0)
... |
988,944 | a3e2d319e3d78b96bfeb348e2b5d6df4da44c7ee | import sys
import numpy as np
import random
def create_sample(path, num):
t_list = []
file = open(path, 'w')
for i in range(num):
a = random.randint(1, 1000)
t_list.append(a)
count = 0
for j in range(2, (int)(a / 2)):
if a % j == 0:
coun... |
988,945 | 57b8e9671a065c24836b7d4096f10f6aa1bd42ab | from __future__ import unicode_literals
from django.db import models
class Newsletter(models.Model):
txt = models.CharField(max_length=30)
status = models.IntegerField()
def __str__(self):
return self.txt
|
988,946 | 51bfadfe0a9ebe3974e4b87f10e6b4fa00351ec2 | import numpy as np
import pandas as pd
import random
import matplotlib.pyplot as plt
%matplotlib inline
import seaborn as sns
import os
from wordcloud import WordCloud, STOPWORDS
from collections import defaultdict
from nltk.corpus import stopwords
from collections import defaultdict
import string
from sklearn.feat... |
988,947 | e541126105ee4b869050a207706449cb8dfe8bb2 | from airhockey import AirHockeySim
try:
import Tkinter as tk # Python 2
except:
import tkinter as tk # Python 3
'''
Used to verify tkinter works properly
'''
def test_gui():
root = tk.Tk()
canvas = tk.Canvas(root,width=400,height=400)
canvas.pack()
circle = canvas.create_oval(50,50,80,80,outline="white",fi... |
988,948 | 4bc735748322aa3a930f812ee6095a1dcb4c58c3 | from re import match
import pytest
from hyp3lib import GranuleError
from hyp3_insar_gamma import ifm_sentinel
def test_get_copol():
assert ifm_sentinel.get_copol('S1B_WV_SLC__1SSV_20200923T184541_20200923T185150_023506_02CA71_AABB') == 'vv'
assert ifm_sentinel.get_copol('S1B_IW_GRDH_1SDV_20200924T092954_202... |
988,949 | 14694ce17b4d6f3e7da5482d28560d91a67ddaf0 | from collections import Counter
import fst
from hsst.decoding.OpenFST import OpenFST
from hsst.decoding import helpers
class AlignmentOpenFST(OpenFST):
def __init__(self, wmap_filename, lm_vcb_filename, rule_id_offset=0):
"""
Initialize AlignmentOpenFST object
:param wmap_filename: Path... |
988,950 | d99d0c703742471d898fbe069030a3d3ad701368 | #author：秦大粤
import random
import numpy as np
import matplotlib.pyplot as plt
class clusters:
def __init__(self,size=100,number=10):
self.l=size
self.n=number
self._fig=[[0]*self.l for i in range(self.l)]
def growth(self):
#initialization
self._fig[int(self.l/2)... |
988,951 | e371001d76cd0aef56efa63be3ef7b7c409d18ac | #
# File: database_operations.py
#
# Author: Andreas Skielboe (skielboe@gmail.com)
# Date: August 2012
#
# Summary of File:
#
# Functions that connect to and modify the database at the lowest levels in SQLalchemy
#
import settings as s
def create_session():
#--------------------------------------... |
988,952 | 27dceb2dfed29c17673a7bee1d510981159258a4 |
def metodo():
print("")
print("Método executado!")
def main():
metodo()
# Executa o programa (O programa começa aqui)
if __name__ == "__main__":
main()
|
988,953 | 5f1e7e6a6e60f3352055d384a916d42ed410132d | #!/usr/bin/env python
#-*- coding:utf-8 -*-
# author:chunxiusun
import requests,unittest,pexpect,re,json,random,time,os
IP = "192.168.2.16"
PORT = "8900"
TYPE = "mock"
mock_config = "mock_1.json"
front_port = 1111
def creat_instance():
print "##creat instance##"
url = "http://%s:%s/olympus/v1/instance?type=... |
988,954 | d5243a833c752667f09fe9befd6076893cc21c7f | import pygame, sys, pymunk
SCREEN_SIZE = 600,600
class Screen:
def __init__(self):
self.name = "SCREEN"
self.running = True
self.screen = pygame.display.set_mode(SCREEN_SIZE)
self.screen_color = 255,255,255
pygame.display.set_caption(self.name)
... |
988,955 | c8d1d49d2aedc21ea5a198235029433a7e707480 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import os
from os import listdir
from os.path import isfile, join
from py2neo import Graph, Node, Relationship, authenticate
from Fiche import Fiche
from Source import Source
def analyseFiche(nom_fichier, dossier, graph):
with open(join(dossier, nom_fichi... |
988,956 | 5568c16f1c72e6340980fde4c3102188b0fa5dcd | import matplotlib.pyplot as plt
import networkx as nx
class MyGraph(nx.Graph):
def Diameter(self):
self.diamlen = nx.diameter(self.component)
for somenode in self.component.nodes:
for anothernode in self.component.nodes:
if nx.shortest_path_length(self.component, somenode... |
988,957 | 10d1b8de395bdb0f63ea0f462bc63ac44d16a879 | from datetime import datetime
import globals as g
from utils import get_videogame_type, get_week_info, get_match_cet_time
from PIL import Image, ImageFont, ImageDraw
import random
import os
import uuid
from dadjokes import Dadjoke
import json
dadjoke = Dadjoke()
def get_schedule_header_footer():
week_number, week_... |
988,958 | 43480cb0209074e63e591cf0a4266f3612893ec2 | import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
import matplotlib
pd.set_option('display.width', None)
matplotlib.style.use('ggplot')
inpath = '~/Documents/tbl_20180621_01_trg/heppy/set_EWK_QCD/sel_030/020_counts/tbl_n.process.htbin.mhtbin.min4Dphi.txt'
outpath = 'log_n.pr... |
988,959 | 243d336d508971f6fbd49b4206456b2a71e2fbf6 | import numpy as np
from scipy.linalg import sqrtm
def calculate_fid(act1, act2):
"""
Calculte FID scores between 2 activations
"""
mu1, sigma1 = act1.mean(axis=0), np.cov(act1, rowvar=False)
mu2, sigma2 = act2.mean(axis=0), np.cov(act2, rowvar=False)
# Sum squared difference of means..
ssdiff = np.sum((mu1-mu... |
988,960 | e3c82819a0a926e9153ae1a80463d92d14b94a20 | from helper import *
if __name__ == '__main__':
#beam_width_list = [3,5,10,15,20,25]
out_file_match_rate = open('out_match_rate_with_bw/ana_match_rate.txt','w')
out_file_match_count = open('out_match_rate_with_bw/ana_match_count.txt','w')
out_file_unk_count = open('out_match_rate_with_bw/ana_unk_c... |
988,961 | fcc4232f3ac7a1f4c80f282066aa206e59ce270e | import smtplib
# open a file with the list of emails.
with open("out","r") as f:
l = f.read()
l = l.split("\n")
l = [i for i in l if "@" in i]
# open the file that has the message you want to send.
with open("file.txt","r") as f:
msg = f.read()
s = smtplib.SMTP('smtp.gmail.com', 587)
s.ehlo()
s.... |
988,962 | bb769c04be6f60c1af1a549b1a44593cd5ee0e5c | import sys
stdout = sys.stdout
sys.stdout = sys.stderr
from smart.common.rdf_ontology import *
sys.stdout = stdout
def strip_smart(s):
return s.replace("http://smartplatforms.org", "")
def type_start(t):
name = type_name_string(t)
description = t.description
example = t.example
print "==%s RDF==\n... |
988,963 | bf7b0399f94dbf15fa07223b4264643429bbe50b | from mingus.midi import fluidsynth
from mingus.containers.note import Note
from mingus.containers.note_container import NoteContainer
import time
fluidsynth.init("../assets/sound_fonts/Drama Piano.sf2", 'alsa')
# # and b with notes
#fluidsynth.play_Note(Note("A"))
#time.sleep(0.25)
#fluidsynth.play_Note(Note("A#"))
#... |
988,964 | 290560a4431604c984eb453860bcc4c9ddcafb6a | i = 0
# while True:
# if i == 3 or i == 7:
# i += 1
# continue
# if i == 10:
# break
# print(f"test {i}")
# i += 1
# else:
# print("hello from the else")
while i < 10:
i += 1
if i == 3 or i == 7:
continue
print(f"test {i}")
else:
print("hello from th... |
988,965 | 40ec4d03027f94977bbbd1f175f505fd1af38d9a | import spacy
from functools import reduce
from typing import List
nlp = spacy.load("en_core_web_sm")
def merge_sentences_min_len(text: List[str], min_len: int) -> List[str]:
"""
Combine multiple sentences to ensure
every one has at least a length of `min_len`
"""
def reducer(acc, x):
if... |
988,966 | 6e34b374a61411e2d73309737ddcb2227cb2cb52 | n = int(input())
s = input()
ans = ""
for i in s:
t = ord(i)
t += n
if t > 90:
t -= 26
ans += chr(t)
print(ans)
|
988,967 | 2eb65d7e981408ccd21b7225717e56dd4976bd12 | # Copyright VeHoSoft - Vertical & Horizontal Software
# License AGPL-3.0 or later (http://www.gnu.org/licenses/agpl.html).
{
'name': 'Facturación Electrónica CFDI v3.3 FacturaTool',
'summary': 'Permite emitir Facturas CFDI v3.3 validas para el SAT',
'version': '12.0.1.0.1',
'category': 'Invoicing Manag... |
988,968 | 88e274663a3e1d693a670c064769b3be6c87ffd0 | from scabbard import get_client
import json
import datetime
def test__v3_4_0_shop_altairports_flights_post():
client = get_client()
today = datetime.datetime.now()
departure1_datetime = (today + datetime.timedelta(days=10)).strftime("%Y-%m-%dT%H:%M:%S")
departure2_datetime = (today + datetime.timedel... |
988,969 | 384bbd6cbe8e81dc123e71a144e8068fe6d31c8d | # 인스턴스 메서드
# - 인스턴스 변수(self)들을 이용해 기능을 구현하는 메서드
# 클래스 메서드
# - 클래스 변수(cls)들을 활용해 기능을 구현하는 메서드
# - 메서드 바로 위에 @classmethod를 추가해서 표시한다
# 문제 1. 승객의 화물을 bus_trunk 딕셔너리에 추가하는 메서드를 만들어보세요
# 승객의 좌석번호가 Key값이 되고, value는 승객의 화물 리스트입니다.
# bus_trunk에 물건을 실었다면 승객의 cargo리스트는 텅 비어야 합니다.
class Passenger... |
988,970 | 2c625343d3bd23c95d1d74345f5739368f8d39ca | name = "pywebcollect"
from pywebcollect.pywebcollect import WebCollect
__all__ = ["WebCollect"]
|
988,971 | b81d425d2cb7e60022348da4b1065c446d3f42fa | import os
import io
import re
import sys
from setuptools import setup, find_packages
from setuptools.command.test import test as TestCommand
here = os.path.abspath(os.path.dirname(__file__))
def read(*parts):
return io.open(os.path.join(here, *parts), 'r').read()
def find_version(*file_paths):
version_fil... |
988,972 | dab4ca66150263c243bc956b977191ee131a285b | import numpy as np
from random import seed
from .node import Node
class AritificalNeuralNetwork:
def __init__(self, num_inputs, num_hidden_layers, num_nodes_hidden, num_nodes_output):
self.num_inputs = num_inputs;
self.network = self.__initialize_network__(num_inputs, num_hidden_layers, n... |
988,973 | 734cc8035d7bc3c708936a0312e11324158cca51 | # ==ElementTreeでRSSをパースする==
from xml.etree import ElementTree
# parse()でファイルを読み込んで、ElementTreeオブジェクトを得る。
tree = ElementTree.parse('rss2.xml')
# getroot()でXMLのルート要素(この例ではRSS要素)に対応するElementオブジェクトを得る
root = tree.getroot()
# channel/item要素以下のtitle要素とlink要素の文字列を取得し、表示する。
for item in root.findall('channel/item'):
tit... |
988,974 | 08a00c81184f0bd8ae89c434839713bfd1332a45 | #!/usr/bin/env python
"""
This module contains functions for fitting models to the numerically
generated average levenshtein distances between random strings.
"""
import numpy as np
import json
from importlib_resources import files
codegolf_ref = """https://codegolf.stackexchange.com/questions/197565/
can-you-calcula... |
988,975 | 92081a8a847592240ba5e03f4c28c8ec857a1ec5 | import PIL.Image
import PIL.ImageDraw
import face_recognition
image = face_recognition.load_image_file("testImage.jpg")
#Find all the faces in the Image
face_locations = face_recognition.face_locations(image)
number_of_faces = len(face_locations)
print("Found {} faces in this image".format(number_of_faces))
#Load t... |
988,976 | 993c2535e0ebe74a095232a5521c79159c38f273 | print("counting freq. of element in list")
print(" Different Ways:")
print("Taking list as input:")
s = list(map(int, input().split(" ")))
print("Using Dictionary")
# using traditional way
freq = {}
for i in s: #loop
if i in freq: #checking element in dict
freq[i]+=1 # if yes count +=1
else:
fre... |
988,977 | d8ce4ae8a1c6b2b98253d24f081c50dd02a0ada7 | # https://docs.python.org/3/library/urllib.parse.html
# <scheme>://<netloc>/<path>;<parameters>?<query>#<fragment>
from urllib.parse import urlparse
a = urlparse("http://goodinfo.tw/StockInfo/StockDetail.asp?STOCK_ID=3008")
print(a)
print(a.netloc)
print(a.path)
print(a.query)
|
988,978 | 13e336e70fdad9766eeca485cef231cc1bdd7522 | # -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
"""
#血型個性資料
dict1 = {'A':'內向穩重','B':'外向樂觀','O':'堅強自信','AB':'聰明自然'}
blood = input("輸入血型")
name = dict1.get(blood)
if name == None:
print("沒有這個血型喔")
else:
print(name)
|
988,979 | b881c7b6bcb955bd61ed7da3dc4ab9ccc424a53e | # coding:utf-8
# coding:utf-8
import visa
import pyvisa
import threading
import time
import csv
import os
from aw.core.Input import SUC
from aw.core.Input import getLbsCaseLogPath, getCurCaseName
class Battery(object):
current_value_list = []
def __init__(self, ip):
self.ip = "TCPIP::{}... |
988,980 | 9e07b96082cc0dfaf6e8918e50989161823dcd58 | # Generated by Django 3.1 on 2020-11-10 15:41
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('learningLevel', '0003_mdlcourse_mdlenrol_mdluserenrolments'),
]
operations = [
migrations.CreateModel(
name='Indexkeyword',
... |
988,981 | eda85e3a7cb170917e5f08d6f24d35a888874dc5 | def is_two_palindrome(word) :
'''The function tests if the given string is a “two palindrome” or not.
in this function i used:
slicing for string in order to get the two half and the reverse for each
one and compare them.
i used special condition for 1 length word so it match the expected result.
... |
988,982 | 94576df7e69ca8390e2c2f0f20fc670a9d0fe2a1 | #!/usr/bin/python3
# -*- coding: UTF-8 -*-
import pymysql
class MysqlUtil(object):
def __init__(self, host: str, port: int, user: str, password: str, db: str, charset: str):
if charset.strip() == '':
charset = 'utf8'
db = pymysql.connect(host=host, port=port, user=user, password=pas... |
988,983 | 5c097752b933fca23f0bfc90d9460bcb940f75dc | # Generated by Django 3.1.7 on 2021-03-18 03:53
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('user', '0004_order'),
]
operations = [
migrations.AlterField(
model_name='cart',
name='count',
field=mod... |
988,984 | 3f92c803d845a4a9c52f1c450d551facd31c5947 | import typing as t
from types import TracebackType
import httpx
import requests
from . import managers as do_managers
class BaseClient:
API_DOMAIN = "api.digitalocean.com"
API_VERSION = "v2"
account: t.Optional[do_managers.AccountManager] = None
actions: t.Optional[do_managers.ActionsManager] = Non... |
988,985 | 8109b7777bbc8a6225560056f2f9a316d3285a8b | import sys
sys.path.append('src')
from functions import *
import numpy as np
from numpy.testing import assert_allclose
def test_half_disp():
dz = np.random.randn()
shape1 = 7
shape2 = 2**12
u1 = np.random.randn(shape1, shape2) + 1j * np.random.randn(shape1, shape2)
u1 *= 10
Dop = np.random.rand... |
988,986 | 06a1c5e72db2cfb13d6b6c3df0d46c849b74a845 | # @Author : lightXu
# @File : sobel_filter.py
# @Time : 2019/7/8 0008 下午 16:26
import numpy as np
from cv2 import imread, cvtColor, COLOR_BGR2GRAY, imshow, waitKey
from digital_image_processing.filters.convolve import img_convolve
def sobel_filter(image):
kernel_x = np.array([[-1, 0, 1], [-2, 0, 2], [-1, 0... |
988,987 | eac344f05f90989dc775814c78e82cf0aa77507f | import pygame
pygame.init()
COLOR_INACTIVE = (211,211,211)
COLOR_ACTIVE = (255,255,255)
FONT = pygame.font.SysFont(None, 15)
##Classe utilizada para permitir adicionar texto no meio dos blocos
class InputText:
def __init__(self, x, y, w, h, text='', only = False, qtdMax = 3):
##Define os parametros prin... |
988,988 | a11301ebf9c9040dae76311322696f7e6d01005b | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright © 2016 Taylor C. Richberger <taywee@gmx.com>
# This code is released under the license described in the LICENSE file
from __future__ import division, absolute_import, print_function, unicode_literals
from datetime import timedelta
import six
from ssllabs.obj... |
988,989 | 91a9fec824707e8707f6e3226f08b7081740e1f1 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
"""
Time:
2021-01-27 11:53
Author:
huayang
Subject:
Bert 原生分词器，移除了兼容 python2 的内容
References:
https://github.com/google-research/bert/blob/master/tokenization.py
"""
import os
import doctest
from collections import OrderedDict
from huaytools.nlp.no... |
988,990 | 360ce4ff790eefdaa8230a0fc0b43a54979f0977 | def karatsuba(x, y):
if (len(str(x)) == 1 or len(str(y)) == 1):
return x * y
n = max(len(str(x)), len(str(y)))
power = int(n // 2)
x1 = int(x // 10 ** power)
x0 = int(x % 10 ** power)
y1 = int(y // 10 ** power)
y0 = int(y % 10 ** power)
z0 = karatsuba(x0, y1)
z2 = karatsuba(x... |
988,991 | 0c5f0d8af348b1b3dea57eead25a9b9c69fd0d95 | score1 = int(input('필기성적을 입력하세요 : '))
score2 = int(input('실기성적을 입력하세요 : '))
if score1 >= 80 and score2 >= 80 :
print('합격!')
else :
print('불합격!') |
988,992 | 7a9b94a9673237d1869259d5d604c32a4816902b | #*****************************************************************************#
#**
#** WASP Worker Launcher
#**
#** Brian L Thomas, 2011
#**
#** Tools by the Center for Advanced Studies in Adaptive Systems at
#** the School of Electrical Engineering and Computer Science at
#** Washington State University
#**
#*... |
988,993 | fe5df5871871183e47630da6f8e5b2a312663c71 | import numpy as np
from flask import Flask, request, jsonify, render_template
import pickle
import pandas as pd
app = Flask(__name__)
model = pickle.load(open('randomforest_model.pkl', 'rb'))
flights = pd.read_csv("data.csv", low_memory = False)
ip_feat = ['radius_mean', 'texture_mean', 'perimeter_mean', 'area_mean',... |
988,994 | 3d8a25c103584bdb8789fd1344eed9af1b49f0a3 | # -*- coding: utf-8 -*-
import re,urllib
from resources.lib.libraries import client
def resolve(url):
try:
data = str(url).replace('\r','').replace('\n','').replace('\t','')
doregex = re.compile('\$doregex\[(.+?)\]').findall(data)
for i in range(0, 5):
for x in doregex:
... |
988,995 | d092c3dff8fe3b0b5deabf1513828249a44978ce | # Are there any duplicate ids in the records?
# No, they aren't!
# Because! id is used to distinguish 1 document |
988,996 | 4a2aeb05dd5e3c2c296a001253d830d9557923ab |
class Node:
def __init__(self, idx):
self.id = id(self)
self.idx = idx
class Edge:
pass
class Graph:
pass
class Task:
pass
class Table:
'''
store Nodes, Edges, and Tasks
'''
pass |
988,997 | 31da3ed694612fe8c7924525b96c922268d6755b | #ax + b = c
a = 4
b = 9
c = 23
for x = (c -b): a
print x
|
988,998 | fe22949c0cafdd66e9bed3876c942035cd64f685 | from __future__ import annotations
import unittest
from monty.tempfile import ScratchDir
from maml.base import KerasModel, SKLModel, is_keras_model, is_sklearn_model
class TestBaseModel(unittest.TestCase):
def test_sklmodel(self):
from sklearn.linear_model import LinearRegression
model = SKLMo... |
988,999 | e8eb77ff2cd14426d44ed4fbe0c4c23b342af984 | """ DigitalICS: mobile data collection tool to complete surveys with integrated multimedia
Copyright (C) 2009. Yael Schwartzman
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation... |
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