seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 ⌀ | sub_path stringlengths 3 214 | file_name stringlengths 3 160 | file_ext stringclasses 18
values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
value | lang stringclasses 93
values | doc_type stringclasses 1
value | stars int64 0 179k ⌀ | dataset stringclasses 3
values | pt stringclasses 78
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
4697971690 | from __future__ import print_function, division
from helpers import utils
from tensorflow.keras.models import Model, load_model, save_model
from tensorflow.keras.layers import Input, Dropout, Concatenate, BatchNormalization, LeakyReLU, UpSampling2D, Conv2D, \
Activation, Flatten, Dense
from tensorflow.keras.optimi... | ozlia/brightFieldToFlorecent | models/Pix2Pix/model.py | model.py | py | 15,295 | python | en | code | 0 | github-code | 90 |
18493618019 | from math import factorial
n, m = map(int, input().split())
mod = 10**9 + 7
def factorization(n):
arr = []
temp = n
for i in range(2, int(n**0.5//1+1)):
if temp%i==0:
cnt=0
while temp%i==0:
cnt+=1
temp //= i
arr.append([i, cnt])
... | Aasthaengg/IBMdataset | Python_codes/p03253/s075723844.py | s075723844.py | py | 621 | python | en | code | 0 | github-code | 90 |
18050359819 | from itertools import groupby
from functools import reduce
MOD = 1000000007
def mod_pow(x, k):
ret = 1
while k > 0:
if k & 1:
ret *= x
ret %= MOD
k >>= 1
x *= x
x %= MOD
return ret
def max_t():
i, t_max = 0, 0
for j, v in enumerate(t):
... | Aasthaengg/IBMdataset | Python_codes/p03959/s959207011.py | s959207011.py | py | 1,074 | python | en | code | 0 | github-code | 90 |
36781876144 | import numpy as np
import matplotlib.pyplot as plt
import scipy.stats as stats
import sklearn.gaussian_process as gp
import scipy.linalg as la
from scipy.stats import gaussian_kde
def rw_metropolis_hastings(f,llh,lpr,cov,x0,n,burn_in,update=50,verbose=False,debug=False):
X = [x0]
y = f(x0)
loglikelihood = ... | hjrrockies/surrogate-data | sur_data.py | sur_data.py | py | 2,655 | python | en | code | 0 | github-code | 90 |
42088221259 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Author : Xi WenHao
# @Email : xiwenhao1994@gmail.com
# @Project : qingshan
# @Time : 2021/11/8 10:07
# @File : txt2img.py
import time
from os import remove
from os.path import abspath
from random import choice
from uuid import uuid4
from PIL import Image,... | HowardXi/qingshan_robot | text2image/txt2img.py | txt2img.py | py | 5,190 | python | en | code | 0 | github-code | 90 |
17997237699 | a,b,c = map(int,input().split())
oldCookies = []
oldCookies.append([a,b,c])
answer = 0
while(True):
if a % 2 == 1 or b % 2 == 1 or c % 2 == 1:
break
after_a = b / 2 + c / 2
after_b = a / 2 + c / 2
after_c = a / 2 + b / 2
a = after_a
b = after_b
c = after_c
cookies = [a,b,c]
answer += 1
for i in rang... | Aasthaengg/IBMdataset | Python_codes/p03723/s119353295.py | s119353295.py | py | 436 | python | en | code | 0 | github-code | 90 |
16040991605 | class Student(object):
__slots__ = ("name", "age", "city") # 这个属性直接定义在类里，是一个元组，用来规定对象可以存在的属性
def __init__(self, x, y):
self.name = x
self.age = y
def say_hello(self):
print("大家好，我是", self.name)
# Student("张三",18)到底做了什么?
# 1. 调用__new__方法，用来申请内存空间
# 2. 调用__init__方法，并让self指向申请好的那段内... | EricWord/PythonStudy | 15-oop/oop_demo3.py | oop_demo3.py | py | 917 | python | zh | code | 0 | github-code | 90 |
38408104811 | # Input: gas = [1,2,3,4,5], cost = [3,4,5,1,2]
# Output: 3
# Explanation:
# Start at station 3 (index 3) and fill up with 4 unit of gas. Your tank = 0 + 4 = 4
# Travel to station 4. Your tank = 4 - 1 + 5 = 8
# Travel to station 0. Your tank = 8 - 2 + 1 = 7
# Travel to station 1. Your tank = 7 - 3 + 2 = 6
# Trave... | sagarsharan11/DSA-Python | LeetCode_Questions/134. Gas Station.py | 134. Gas Station.py | py | 2,823 | python | en | code | 1 | github-code | 90 |
74626615336 | # 기본 풀이
answer = 0
def dfs(idx, value, numbers, target):
global answer
N = len(numbers)
if idx == N and value == target:
answer += 1
return
if idx == N:
return
dfs(idx + 1, value + numbers[idx], numbers, target)
dfs(idx + 1, value - numbers[idx], numbers, target)
de... | tonyw0527/Python-algorithm-notes | Dfs-Bfs/targetNumber.py | targetNumber.py | py | 736 | python | en | code | 0 | github-code | 90 |
71125999656 | from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String, Boolean, ForeignKey, Text
from sqlalchemy import DateTime
from sqlalchemy.orm import relationship, backref
from sqlalchemy import func
from unidecode import unidecode
''' +++++++++++++++++++++++++++++++++++
Define ... | laironald/thedriver | data_interface/schema.py | schema.py | py | 3,758 | python | en | code | 0 | github-code | 90 |
9564477752 | import pymunk
from pymunk.pygame_util import *
from pymunk.vec2d import Vec2d
import pygame
from pygame.locals import *
import math
from PIL import Image
import numpy as np
import os
space = pymunk.Space()
space.gravity = 0, 900
b0 = space.static_body
size = w, h = 800, 500
fps = 30
steps = 10
BLACK = (0, 0, 0)
GR... | victorsimrbt/physics_ai | ga_creature_generation/joint.py | joint.py | py | 4,246 | python | en | code | 0 | github-code | 90 |
18064143379 | # A - Wanna go back home
def can_go_home(dir1, dir2):
if dir1 > 0 and dir2 > 0:
return True
elif dir1 == 0 and dir2 == 0:
return True
else:
return False
n, w, s, e = 0, 0, 0, 0
for dir in input():
if dir == 'N':
n += 1
elif dir == 'W':
w += 1
elif dir == 'S':
s += 1
else:
e += 1
if can_go_home(... | Aasthaengg/IBMdataset | Python_codes/p04019/s029886540.py | s029886540.py | py | 381 | python | en | code | 0 | github-code | 90 |
34772171764 | import numpy as np
import cv2
import argparse
import glob
import random
import os
import sys
import pandas as pd
### Set up arguments, can accept path to the directory where the images and their masks are stores as
# as well as size of the patches the image will be subdivided into
argparser = argparse.ArgumentPa... | JuliaHarvie/NN_SVM_Eval | FoldCreation.py | FoldCreation.py | py | 4,562 | python | en | code | 0 | github-code | 90 |
35225127499 | # Test methods with long descriptive names can omit docstrings
# pylint: disable=missing-docstring
import unittest
from AnyQt.QtCore import Qt
from Orange.data import Table
from Orange.widgets.model.owrandomforest import OWRandomForest
from Orange.widgets.tests.base import (
WidgetTest,
DefaultParameterMapping... | biolab/orange3 | Orange/widgets/model/tests/test_owrandomforest.py | test_owrandomforest.py | py | 2,540 | python | en | code | 4,360 | github-code | 90 |
34872769620 | from datetime import timedelta
import numpy as np
import pytest
from pandas._libs.tslibs.period import IncompatibleFrequency
from pandas import (
NaT,
Period,
Timedelta,
Timestamp,
offsets,
)
class TestPeriodArithmetic:
def test_add_overflow_raises(self):
# GH#55503
per = Ti... | pandas-dev/pandas | pandas/tests/scalar/period/test_arithmetic.py | test_arithmetic.py | py | 16,775 | python | en | code | 40,398 | github-code | 90 |
5030983012 | import argparse
from tests.docker_cluster import DockerCluster
from tests.no_hadoop_bare_image_provider import NoHadoopBareImageProvider
from tests.product.base_product_case import BaseProductTestCase
from tests.product.cluster_types import STANDALONE_BARE_CLUSTER, STANDALONE_PA_CLUSTER, \
STANDALONE_PRESTO_CLUSTE... | prestodb/presto-admin | tests/product/image_builder.py | image_builder.py | py | 3,657 | python | en | code | 169 | github-code | 90 |
23046397211 | '''
342. Power of Four
Easy
Given an integer (signed 32 bits), write a function to check whether it is a power of 4.
Example 1:
Input: 16
Output: true
https://leetcode.com/problems/power-of-four/
'''
class Solution:
def isPowerOfFour(self, num: int) -> bool:
if num == 1:
return True
... | aditya-doshatti/Leetcode | power_of_four_342.py | power_of_four_342.py | py | 486 | python | en | code | 0 | github-code | 90 |
18483215789 | n = int(input())
a_ls = []
for i in range(n):
a_ls.append(int(input()))
a_ls.sort()
flg = n % 2 == 1
if flg:
first = a_ls[:n//2]
center = a_ls[n//2]
second = a_ls[n//2 + 1:] + [center]
best = 0
for ind in range(n//2):
best += abs(second[ind] - first[ind]) + abs(second[ind + 1] - first[in... | Aasthaengg/IBMdataset | Python_codes/p03229/s157947514.py | s157947514.py | py | 824 | python | en | code | 0 | github-code | 90 |
37460980177 | import caffe
from tensorflow.contrib.legacy_seq2seq.python.ops import seq2seq
import os
import collections
import numpy as np
import tensorflow as tf
from tensorflow.python.ops import rnn_cell
import time
import io
import cPickle
import matplotlib.pyplot as plt
from matplotlib.patches import Rectangle
from visual_genom... | xiaosucheng/Densecap-tensorflow | RNN.py | RNN.py | py | 6,432 | python | en | code | 7 | github-code | 90 |
31223391885 | import boto3
#naming our client ec2
ec2 = boto3.client('ec2')
response = ec2.describe_instances()
#Parsing the output from response var
reservations = response['Reservations']
#This iteration assigns the Dict key 'Instance' to instances var
for reservation in reservations:
instances = reservation['Instances']
... | aacedeno/AWS_Automation_Boto3 | EC2/list_ami_id.py | list_ami_id.py | py | 510 | python | en | code | 0 | github-code | 90 |
41424662899 | from rest_framework.test import APITestCase
from django.core.files.images import ImageFile
from django.urls import reverse
from pages import models
class MainPageAPITestCase(APITestCase):
def setUp(self):
self.main_page_1 = models.MainPage.objects.create(
title='test',
house_titl... | EugeneDenkevich/Web-Travel_pub | backend/src/pages/tests/test_api.py | test_api.py | py | 1,283 | python | en | code | 0 | github-code | 90 |
26035231926 | from google import protobuf
from google.protobuf import descriptor
__all__ = [
'EXCLUDE',
'INCLUDE_ENTIRELY',
'INCLUDE_PARTIALLY',
'Mask',
'STAR',
]
# Used in a parsed path to represent a star segment.
# See Mask docstring.
STAR = object()
EXCLUDE = 0
INCLUDE_PARTIALLY = 1
INCLUDE_ENTIRELY = 2
... | luci/luci-py | appengine/components/components/protoutil/field_masks.py | field_masks.py | py | 16,833 | python | en | code | 74 | github-code | 90 |
834913874 | import matplotlib.pyplot as plt
import numpy as np
x=np.arange(-3,3,0.01)
y=x**2
x1=np.arange(-3,3,0.01)
y1=1-x**2
plt.plot(x,y,color='black')
plt.plot(x1,y1)
#plt.axis ('equal')
plt.show()
plt.close() | basousti/Desktop-App | python project/python 1ere math/exercice 1.py | exercice 1.py | py | 211 | python | en | code | 0 | github-code | 90 |
18461795317 | import googleapiclient.discovery
from google.cloud import bigquery
PROJECT_ID = "bergqvist-sandbox"
VERSION_NAME = "v3"
MODEL_NAME = "aclima"
service = googleapiclient.discovery.build('ml', 'v1')
name = 'projects/{}/models/{}'.format(PROJECT_ID, MODEL_NAME)
name += '/versions/{}'.format(VERSION_NAME)
def get_seed_v... | dbergqvist/airview-predict | get_predictions/main.py | main.py | py | 2,256 | python | en | code | 0 | github-code | 90 |
2201888410 | #!/usr/bin/env python3
''' Demo how your robot can follow an object with Pixy2 for LEGO Mindstorms.
NOTE: this demo is for the Pixy2 for LEGO Mindstorms.
Use pixy_chaser.py for the first version of Pixy for LEGO Mindstorms.
Requirements:
Hardware: - LEGO EV3-brick.
- Pixy2 ... | KWSmit/Pixy_ev3dev | Pixy2/pixy2_chaser.py | pixy2_chaser.py | py | 3,867 | python | en | code | 10 | github-code | 90 |
3144096037 | from tkinter.filedialog import askopenfilename as askf
from openpyxl import Workbook
from subprocess import Popen
from tkinter import Tk
import pandas as pd
import numpy as np
bancos={
'11100505' :['BANCOLOMBIA', '325-450229-55'],
'11100510' :['BANCO DE BOGOTA', '538-0393-14'],
'11100515' :['BANCO DAVIVIEN... | sebastian7584/conciliar-bancos-team-comunicaciones | auxiliar.py | auxiliar.py | py | 3,928 | python | en | code | 0 | github-code | 90 |
43418506953 | from openerp import api, models, fields
from openerp.exceptions import ValidationError
class HrTelefoniaWizard(models.TransientModel):
_name = 'hr.ateste.telefonia.wizard'
mensagem_ateste = fields.Char(
string='Mensagem do Ateste',
readonly=True,
default=u'Atesto as ligações previamen... | odoo-brazil/odoo-brazil-hr | l10n_br_hr_payroll/wizards/hr_ateste_telefonia_wizard.py | hr_ateste_telefonia_wizard.py | py | 2,008 | python | pt | code | 8 | github-code | 90 |
5591022177 | import dataclasses
from typing import Callable
import torch.nn
from spectral_graph_conv.models.spectral_resnet_block import (
SpectralResnetBlock,
SpectralResnetBlockConfig,
)
@dataclasses.dataclass
class SpectralResnetConfig:
n_layers: int
filter_approximation_rank: int
dtype: torch.dtype
d... | KanHarI/HyenaSpectralGraphConv | spectral_graph_conv/models/spectral_resnet.py | spectral_resnet.py | py | 1,706 | python | en | code | 0 | github-code | 90 |
31826516936 | """
Main file for the PyGame window responsible for both displaying the game board and the state space
"""
# Modules
import math
import pygame
import numpy as np
import random
# Model imports
from model.TicketToRide import TicketToRide
from model.map.City import City
from model.config import *
# Config in PY_GAME_CO... | lennard134/TicketToRideLAMAS | src/Visualizer.py | Visualizer.py | py | 27,330 | python | en | code | 0 | github-code | 90 |
9340048360 | # Задайте список из вещественных чисел. Напишите программу,
# которая найдёт разницу между максимальным и
# минимальным значением дробной части элементов.
#
# Пример:
#
# - [1.1, 1.2, 3.1, 5, 10.01] => 0.19
import math
if __name__ == '__main__':
list_numbers = [1.1, 1.2, 3.1, 5, 10.01]
cut_integers = []
f... | frontendLearning-31082022/python_introduction_seminar_3 | one_more_3.py | one_more_3.py | py | 755 | python | ru | code | 0 | github-code | 90 |
16625870237 | #coding:utf-8
PURPLE = '\033[35m'
RED = '\033[31m'
CYAN = '\033[36m'
OKBLUE = '\033[94m'
OKGREEN = '\033[92m'
WARNING = '\033[93m'
FAIL = '\033[91m'
ENDC = '\033[0m'
import csv
import sys
import codecs
from urllib.parse import urlparse #URL --> Domain
from time import sleep
dict_web_id = {}
dict_url ... | DisneyAladdin/kenkyu | program/demo/Decide-topic-color.py | Decide-topic-color.py | py | 7,194 | python | en | code | 1 | github-code | 90 |
11002522082 | a, b = map(int, input().split()) #구간 시작 a, 구간 끝 b 입력
arr = [] #문제의 수열
#구간 끝 b까지의 범위에 맞게 문제 수열 채우기
for x in range(1,b+1):
for y in range(1,x+1):
arr.append(x)
ans = arr[a-1:b] #입력받은 구간으로 나누기
print(sum(ans)) #구간의 합 출력 | joey0807/CodeStudy | 문제풀기/baekjoon/1292.py | 1292.py | py | 327 | python | ko | code | 0 | github-code | 90 |
30420997241 | """Test du bloc try"""
def division(numerateur, denominateur):
try:
resultat = numerateur / denominateur
except NameError:
print("La variable numerateur ou denominateur n'a pas été définie.")
except TypeError:
print("La variable numerateur ou denominateur possède un type incom... | Narvaliton/Learning | Python/OpenClassrooms/exceptions.py | exceptions.py | py | 945 | python | fr | code | 0 | github-code | 90 |
14087002585 | #Create 15,000-meter buffer around airports.shp items classified as an airports
#(based on the FEATURE field) + 7,500-meter buffer around airports.shp items
#classified as seaplane base.
import arcpy
from arcpy import env
env.workspace = "C:/EsriPress/Python/Data/Exercise07"
air = " \"FEATURE\" = 'Airport'"
sea = " \"F... | XJCasper/lab_4 | Exer7Chall1.py | Exer7Chall1.py | py | 680 | python | en | code | 0 | github-code | 90 |
7272721409 | import day06
import unittest
class TestDay06(unittest.TestCase):
def setUp(self):
self.solution = day06.Solution()
def test_part_a(self):
test_case = [
"COM)B",
"B)C",
"C)D",
"D)E",
"E)F",
"B)G",
"G)H",
... | jonabantao/advent_of_code | 2019/day06/test.py | test.py | py | 907 | python | en | code | 0 | github-code | 90 |
14274648766 | import pandas as pd
import os
import argparse
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--tab1", required=True, help="", type=str)
parser.add_argument("--tab2", required=True, help="", type=str)
args = parser.parse_args()
tab1_df = pd.read_excel(os.path.abspath(args.tab1... | elhossary/bioinformatics_analysis_toolbox | TermSeq_transcripts_ncRNA_filter/mark_records.py | mark_records.py | py | 1,972 | python | en | code | 0 | github-code | 90 |
40243723224 | # imports
#--------------------
import random,copy,re,nltk,string,time,numpy,subprocess,regex
from nltk.corpus import wordnet as wn
from nltk.stem import WordNetLemmatizer
from gensim.models import KeyedVectors
from dbutils import *
from prygress import progress
from ngraph import NeumanGraph
from sklearn.cluster im... | ilay32/metaphore-substitutes | metsub.py | metsub.py | py | 42,199 | python | en | code | 2 | github-code | 90 |
33458044824 | # 19/06/2023 come back later and solve again, solved in O(n^2) using bubble sort due to tutorial
from typing import List
import copy
class Solution:
def heightChecker(self, heights: List[int]) -> int:
originalHeights = copy.deepcopy(heights)
heightsLength = len(heights) - 1
sortingComplet... | Samuel-Black/leetcode | height-checker.py | height-checker.py | py | 961 | python | en | code | 0 | github-code | 90 |
22346814215 | """Test pysetl.workflow.stage module."""
from tempfile import TemporaryDirectory
import pytest
from pyarrow.fs import FileType
from pyspark.sql.types import StringType
from pyspark.sql import Row, SparkSession
from typedspark import DataSet, Column, Schema
from pysetl.workflow import Stage, Factory
from pysetl.workflow... | JhossePaul/pysetl | tests/workflow/test_stage.py | test_stage.py | py | 3,783 | python | en | code | 0 | github-code | 90 |
34972759686 | #import numpy as np
import roles
import Infrastructure.graph as graph
class Resistor(roles.Connector):
def __init__(self, r, *args, **kwargs):
super(Resistor, self).__init__(*args, **kwargs)
self._resistance = r
def _dotRepr(self):
nodeName=self._dotName()+"_rect"
entries=[]
node=... | Matthew-Everitt/LogicSim | src/resistor.py | resistor.py | py | 597 | python | en | code | 0 | github-code | 90 |
4907060017 | import requests
from spacy.language import Language
from spacy.tokens import Doc, Span, Token
@Language.factory(
"corefserve",
default_config={
"url": "http://localhost:1080/predictions/tuba10_electra_uncased_512_3"
},
)
def statementFactory(nlp, name, url):
return CorefServe(url)
class Core... | fynnos/quite | quite/corefserve.py | corefserve.py | py | 2,674 | python | en | code | 0 | github-code | 90 |
27693431464 | """
Dual pointer
Time Complexity: O(N)
Space Complexity: O(1)
"""
class Solution:
def exchange(self, nums: list) -> list:
odd_pointer = 0
even_pointer = len(nums) - 1
while odd_pointer < even_pointer:
if nums[odd_pointer] % 2 == 0:
if nums[even_pointer] % 2 != ... | xyzacademic/LeetCode | offer100/21InverseOddEven/solution_1.py | solution_1.py | py | 653 | python | en | code | 0 | github-code | 90 |
17984683469 | s = input()
a_z = [chr(i) for i in range(97, 97 + 26)]
ans = len(s)
for alp in a_z:
cnt = 0
step = 0
for char in s:
if char == alp:
cnt = max(cnt, step)
step = 0
else:
step += 1
ans = min(max(cnt, step), ans)
print(ans)
| Aasthaengg/IBMdataset | Python_codes/p03687/s623393943.py | s623393943.py | py | 288 | python | en | code | 0 | github-code | 90 |
72071244778 | # -*- coding: utf-8 -*-
# UTF-8 encoding when using korean
"""틀림"""
import sys
from collections import defaultdict, deque
def sysinput():
return sys.stdin.readline().rstrip()
sysprint = sys.stdout.write
n, m, k = map(int, sysinput().split())
islands = defaultdict(list)
for _ in range(m):
a, b = map(int, sysinput().... | dig04214/python-algorithm | challenge/7/7_3.py | 7_3.py | py | 840 | python | en | code | 0 | github-code | 90 |
16046210285 | # -*- encoding=utf-8 -*-
import pygame
from pygame.locals import *
import config
import sys
import numpy as np
class Game(object):
render_ed = False
def __init__(self):
pygame.init()
self.clock = pygame.time.Clock()
self.screen = pygame.display.set_mode(config.SCREEN_SIZE)
... | lichengzhang2005/deeplearning-pygame-dqn | dqn/bak.game.py | bak.game.py | py | 4,459 | python | en | code | 0 | github-code | 90 |
5359752116 | import http.client
import logging
import json
from urllib.parse import urlencode
import hashlib
import os
import time
from datetime import date
from pymongo import MongoClient, GEO2D
API_HOST = "www.map.gortransperm.ru"
API_PATH = "/json/"
API_REQUEST_RATE = 60 # Per minute
HTTP_CLIENT_IDLE = 1000 # In msec
HTTP_MA... | code-in-ru/c-trans | collectors/bus_tracking.py | bus_tracking.py | py | 3,176 | python | en | code | 1 | github-code | 90 |
74171082537 | from dataclasses import dataclass
from openpyxl import Workbook
wb = Workbook()
sheet = wb.active
@dataclass
class People():
name:str
no: int
age: int
p = [People('steve',1,28), People('Raju',2,34),People('Rahul',3,25)]
data = [[p.name,p.no,p.age]for p in p]
for d in data:
sheet.append(d)
print(p)
w... | OmPhani/AdvPython | Marksproblem/phani.py | phani.py | py | 374 | python | en | code | 0 | github-code | 90 |
16649832682 | import torch
import torch.nn as nn
from utils import lengths_to_masks
class CRF(nn.Module):
def __init__(self, input_size, num_tags):
super(CRF, self).__init__()
self.num_tags = num_tags
self.emission = nn.Linear(input_size, num_tags)
self.transition = nn.Parameter(torch.FloatTenso... | AutismNLP/Semeval2020-Task5-Subtask2 | BertCRF/crf.py | crf.py | py | 6,335 | python | en | code | 0 | github-code | 90 |
15182410941 | __all__ = ["train", "TrainArguments", "Record", "create_loss"]
import pprint
import random
import pathlib
import functools
import itertools
import logging
import logging.config
from dataclasses import dataclass, field
from typing import Optional, Sequence, ClassVar
import yaap
import inflect
import torch
import torch... | kaniblu/vhda | train.py | train.py | py | 22,118 | python | en | code | 1 | github-code | 90 |
35511639320 | # 给钉钉发送通知
"""
这段代码下发给钉钉的消息太单一了
"""
from dingtalkchatbot.chatbot import DingtalkChatbot
import time
def send_message(message):
"""和钉钉关联起来，给钉钉的群发消息"""
# WebHook地址
webhook = '{Webhook 地址}' # 在{Webhook 地址}填入钉钉的Webhook 地址
# 初始化机器人
xiaoding = DingtalkChatbot(webhook)
# 当前时间
now_time = time.str... | biao-666/Gittest | daka.py | daka.py | py | 881 | python | zh | code | 0 | github-code | 90 |
35169075817 | import pandas as pd
import numpy as np
from matplotlib import image as mpimg
import matplotlib.pyplot as plt
df = pd.read_csv('GrowLocations.csv')
df.columns = ['Serial', 'Longitude','Latitude','Type','SensorType','Code','BeginTime','EndTime']
# printing the dataframe
# print(df)
#df.to_csv('cleanheader_data.cs... | Midhunomanakuttan/python2assignment | python2final.py | python2final.py | py | 1,502 | python | en | code | 0 | github-code | 90 |
72641507496 |
from app import db, login_manager
from flask import Flask,render_template, redirect, url_for, request, Response, make_response, current_app
import time, os, copy, datetime, sys, csv, zipfile
from io import BytesIO, StringIO
def get_records():
from_date_str = request.args.get('from', time.strftime(
... | priyana-pradipta/TugasAkhir_Dashboard | app/home/main.py | main.py | py | 7,513 | python | en | code | 0 | github-code | 90 |
636200972 | from sklearn.pipeline import Pipeline
from pre_processor import *
from pre_processor_extended import *
# %% Load data from spreadsheet.
# prices = pd.read_excel('data/Q2_train_set.xlsx')
# pd.to_pickle(prices, 'raw/Q2_train_set.pkl')
# %% Load data from binary.
car_features = pd.read_pickle('raw/Q1_train_set.pkl')
pr... | Grantcheng/2021-Mathor-Cup-A | Q2_pre_processing.py | Q2_pre_processing.py | py | 3,703 | python | en | code | 0 | github-code | 90 |
22325614475 | # -*- coding: utf-8 -*- 2
from numpy import *
def loadDataSet(filename,delim='\t'):
fr = open(filename)
stringArr = [line.strip().split(delim) for line in fr.readlines()]
datArr = [map(float,line) for line in stringArr]
return mat(datArr)
# dataMat:进行PCA操作的数据集
# topNfeat:可选参数，即应用的N个特征
def pca(dataMat... | shangschun/Machine-Learning | PCA/pca.py | pca.py | py | 3,087 | python | en | code | 0 | github-code | 90 |
21318435280 | from django.urls import path
from . import views
app_name = 'TC'
urlpatterns = [
path('', views.preprocessing, name='preprocessing'),
path('clustering/', views.clustering, name='clustering'),
path('classification/', views.classification, name='classification'),
path('checker_page/', views.checker_pag... | Adika-13/KP | TC/urls.py | urls.py | py | 418 | python | en | code | 0 | github-code | 90 |
2527650178 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#自动将crash处理成对应的人
#现阶段只处理主版的crash
import os
import sys
import time
import re
from operator import itemgetter, attrgetter
#默认地址
#包含各种model的地址
defaultStartPath = ["app/src/main/java/"]
pakageName = "pakageName"
#获取输入参数
def getPath():
if len(sys.argv) == 1:
p... | cuijin007/crashemiter | generateCrash.py | generateCrash.py | py | 3,722 | python | en | code | 9 | github-code | 90 |
6635347430 | import os
import sys
import jack_tokenizer as jt
import jack_compilation_engine as jce
from pathlib import Path
import glob
class JackCompiler:
def __init__(self, jack_file):
self.jack_file = jack_file
if os.path.isdir(jack_file):
self.jack_files = list(glob.glob(f"{jack_file}/*.jack")... | actuary/jack_analyzer | jack_analyzer/jack_compiler.py | jack_compiler.py | py | 1,079 | python | en | code | 0 | github-code | 90 |
1087773874 | import pymysql
class DAOPagos:
def connect(self):
return pymysql.connect("localhost","root","","uirusu" )
def read(self, id):
con = DAOPagos.connect(self)
cursor2 = con.cursor()
try:
if id == None:
cursor2.execute("SELECT * FROM pagos order by cvv a... | silas21k/proy | dao/DAOPagos.py | DAOPagos.py | py | 1,865 | python | en | code | 0 | github-code | 90 |
38467704609 | from __future__ import with_statement
import os
import time
import logging
import platform
import psutil
from supervisor import childutils, states
from metrics.metricsconnector import MetricsConnector
from txstatsd.process import (
report_file_stats, report_counters, report_system_stats,
parse_meminfo, pars... | stevegood/filesync-server | lib/ubuntuone/monitoring/stats_worker.py | stats_worker.py | py | 5,055 | python | en | code | 7 | github-code | 90 |
4295918992 | """ This script is an example of Sigma VAE training in PyTorch. The code was adapted from:
https://github.com/pytorch/examples/blob/master/vae/main.py """
import argparse
import os
import torch
from torch import optim
from torch.utils.tensorboard import SummaryWriter
from torchvision import datasets, transforms
from to... | ss555/deepFish | VAE/vae/train_vae.py | train_vae.py | py | 7,415 | python | en | code | 0 | github-code | 90 |
18288344119 | #!/usr/bin/env python3
import sys
from itertools import chain
# import numpy as np
# from itertools import combinations as comb
# from bisect import bisect_left, bisect_right, insort_left, insort_right
# from collections import Counter
def solve(N: int, M: int, P: "List[int]", S: "List[str]"):
ac = [0] * N
w... | Aasthaengg/IBMdataset | Python_codes/p02802/s677795730.py | s677795730.py | py | 995 | python | en | code | 0 | github-code | 90 |
14293618800 | import enum
from collections import namedtuple
class Player(enum.Enum):
black = 1
white = 2
@property
def other(self):
return Player.black if self == Player.white else Player.white
class Point(namedtuple('Point', 'row col')):
def neighbors(self):
return [
Point(self.... | konstantinche36/go | dlgo/gotypes.py | gotypes.py | py | 732 | python | en | code | 0 | github-code | 90 |
42460140658 | # Метод __getattr__ выполняет операцию получения ссылки на атрибут. Если говорить
# более определенно, он вызывается с именем атрибута в виде строки всякий
# раз, когда обнаруживается попытка получить ссылку на неопределенный (несуществующий) атрибут.
class empty:
def __getattr__(self, attrname):
if attrname == 'age... | alex-markov-creator/universal_tools_for_developer | Testing/Tools_example/Перегрузка операторов/__getattr__.py | __getattr__.py | py | 618 | python | ru | code | 0 | github-code | 90 |
29880691835 | '''
给定一个排序数组和一个目标值，在数组中找到目标值，并返回其索引。如果目标值不存在于数组中，返回它将会被按顺序插入的位置。
你可以假设数组中无重复元素。
示例 1:
输入: [1,3,5,6], 5
输出: 2
示例 2:
输入: [1,3,5,6], 2
输出: 1
示例 3:
输入: [1,3,5,6], 7
输出: 4
示例 4:
输入: [1,3,5,6], 0
输出: 0
'''
# by myself
class Solution:
def searchInsert(self, nums, target):
lens = len(nums)
for i in range(l... | PhenixZhang/python-Leetcode | 35-Search Insert Position.py | 35-Search Insert Position.py | py | 1,413 | python | en | code | 2 | github-code | 90 |
39972060206 | import socket
mySocket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
mySocket.connect(('data.pr4e.org', 80))
cmd = 'GET http://data.pr4e.org/romeo.txt HTTP/1.0\n\n'.encode()
mySocket.send(cmd)
while True:
data = mySocket.recv(512)
if(len(data) < 1):
break
print(data.decode())
mySocket.close... | aysedemirel/python-journey | freeCodeCamp/01-scientific-computing-with-python/src/10-networking_socket.py | 10-networking_socket.py | py | 952 | python | en | code | 3 | github-code | 90 |
18444224239 | import sys
def input():
return sys.stdin.readline()[:-1]
def gcd(a,b):
if b == 0:
return a
return gcd(b,a%b)
def main():
N = int(input())
A = list(map(int,input().split()))
ans = A[0]
for e in A[1:]:
ans = gcd(ans,e)
print(ans)
if __name__ == '__main__':
main()
| Aasthaengg/IBMdataset | Python_codes/p03127/s860449207.py | s860449207.py | py | 315 | python | en | code | 0 | github-code | 90 |
4868098051 | import cv2
import imutils
import argparse
# construct the argument parse and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--input", required=True,
help="name of the image")
args = vars(ap.parse_args())
# read the image
image = cv2.imread(args["input"])
# resize the image
resized = imutil... | yasinturkmenogluu/Image-Processing | Shape_and_Center_Detection/main.py | main.py | py | 1,936 | python | en | code | 0 | github-code | 90 |
8530054388 | import logging
import os
from flask import Flask, request, jsonify
app = Flask(__name__)
app_logger = logging.getLogger(__name__)
app_logger.setLevel(logging.DEBUG)
@app.route("/api", methods=["GET"])
def Default():
return "Hello Deer"
@app.route("/api/save-location", methods=["GET"])
def save_location():
ap... | Alqama-Rao/Portfolio | app.py | app.py | py | 1,164 | python | en | code | 0 | github-code | 90 |
44809105146 | def read_gfile(g_file: str, limiter: str = None):
from pleque.io import _geqdsk
import numpy as np
import xarray as xr
from pleque.core import Equilibrium
from scipy.interpolate import UnivariateSpline
with open(g_file, 'r') as f:
eq_gfile = _geqdsk.read(f)
psi = eq_gfile['psi']
... | kripnerl/pleque | pleque/io/_test_gfile_loader.py | _test_gfile_loader.py | py | 2,307 | python | en | code | 14 | github-code | 90 |
18093693030 | #!/usr/bin/env python
# coding: utf-8
# In[ ]:
import csv
from typing import final
import matplotlib.pyplot as plt
import pandas as pd
import math
import numpy as np
from scipy.stats import linregress
import scipy
import datetime
import time
col_names = ['Date',
'Time',
'Pressure',
... | mica-92/ICE | Qi2017/Past Files/CDII.py | CDII.py | py | 6,000 | python | en | code | 0 | github-code | 90 |
32784353157 | from flask import render_template, Blueprint
import logging
from json import dumps
from app.api.criteria import CRITERIONS, get_all_criterions
from app.mongo_odm import CriterionDBManager
from app.lti_session_passback.auth_checkers import is_admin
routes_criterion = Blueprint(
'routes_criterion', __name__, url_p... | OSLL/web_speech_trainer | app/routes/criterions.py | criterions.py | py | 1,520 | python | en | code | 3 | github-code | 90 |
2625090045 | from datetime import datetime, timedelta
class Previsao:
def __init__(self,aerodromo):
self.aerodromo = aerodromo
self.dias = {}
def setTurnos(self, turnos, duracao):
self.turnos = turnos
self.duracao = duracao
def parseVoos(self, voos):
for voo in voos:
... | saviobatista/siros | lib/previsao.py | previsao.py | py | 3,755 | python | pt | code | 1 | github-code | 90 |
18587821819 | import collections
N = int(input())
a = list(map(int,input().split()))
B = collections.Counter(a)
ans = 0
for i in set(a):
if B[i] < i:
ans += B[i]
else:
ans += B[i]-i
print(ans) | Aasthaengg/IBMdataset | Python_codes/p03487/s821729538.py | s821729538.py | py | 202 | python | en | code | 0 | github-code | 90 |
31228761122 | # -*- coding: utf-8 -*-
from numpy import sqrt as npsqrt
from .variance import variance
from ..utils import get_offset, verify_series
def stdev(close, length=None, offset=None, **kwargs):
"""Indicator: Standard Deviation"""
# Validate Arguments
close = verify_series(close)
length = int(length) if lengt... | RoveAllOverTheWorld512/hyb_ta | build/lib/pandas_ta/statistics/stdev.py | stdev.py | py | 1,161 | python | en | code | 3 | github-code | 90 |
18329780879 | def main():
n = int(input())
inlis = list(map(int, input().split()))
ans = 0
for i in range(n):
for j in range(n):
if i < j:
ans += inlis[i] * inlis[j]
print(ans)
if __name__ == "__main__":
main()
| Aasthaengg/IBMdataset | Python_codes/p02886/s053034839.py | s053034839.py | py | 272 | python | en | code | 0 | github-code | 90 |
18413980569 | import sys
import math
import itertools
import collections
from collections import deque
from collections import defaultdict
sys.setrecursionlimit(1000000)
MOD = 10 ** 9 + 7
MOD2 = 998244353
INF = float('inf')
input = lambda: sys.stdin.readline().strip()
NI = lambda: int(input())
NMI = lambda: map(int, input().split(... | Aasthaengg/IBMdataset | Python_codes/p03061/s374856681.py | s374856681.py | py | 845 | python | en | code | 0 | github-code | 90 |
18295865359 | import math
def prime_check(x):
if x == 2:
return True
limit = math.floor(math.sqrt(x)+1)
cnt = 0
for i in range(2,limit):
if x%i == 0:
cnt += 1
if cnt == 0:
return True
else:
return False
X = int(input())
while True:
if prime_check(X):
print(X)
break
else:
X += 1 | Aasthaengg/IBMdataset | Python_codes/p02819/s032052678.py | s032052678.py | py | 319 | python | en | code | 0 | github-code | 90 |
43740093771 | """
Test the utils module.
"""
import jax.numpy as np
from numpy.testing import assert_array_equal
from swarmrl.utils.utils import (
calc_signed_angle_between_directors,
gather_n_dim_indices,
)
class TestUtils:
"""
Test suite for the utils.
"""
def test_gather_n_dim_indices(self):
""... | christophlohrmann/SwarmRL | CI/unit_tests/utils/test_utils.py | test_utils.py | py | 4,380 | python | en | code | 5 | github-code | 90 |
18571619949 | n=int(input())
a=list(map(int,input().split()))
b=list(map(int,input().split()))
dp=[[0 for i in range(n)] for j in range(2)]
dp[0][0]=a[0]
for i in range(1,n):
dp[0][i]=a[i]+dp[0][i-1]
dp[1][0]=dp[0][0]+b[0]
for i in range(1,n):
dp[1][i]=max(dp[0][i],dp[1][i-1])+b[i]
print(dp[1][n-1])
| Aasthaengg/IBMdataset | Python_codes/p03449/s744864063.py | s744864063.py | py | 296 | python | en | code | 0 | github-code | 90 |
22356423045 | #from data import data
from operator import itemgetter
from functools import wraps
from flask import Flask, flash, render_template, redirect, url_for, session, make_response, request, config, jsonify
from authlib.integrations.flask_client import OAuth
from flask_wtf.csrf import CSRFProtect
from flask_cors import CORS, ... | jukkajo/Fullstack-tulospalvelu | Backend/main.py | main.py | py | 8,774 | python | fi | code | 0 | github-code | 90 |
23131027382 | from django import forms
from shop.models import Address
from .models import Order
class OrderCreateForm(forms.ModelForm):
address = forms.ModelChoiceField(
widget=forms.RadioSelect,
queryset=None,
empty_label=None,
label='Select your address for shipping',
)
... | chromium7/mangovodo | orders/forms.py | forms.py | py | 610 | python | en | code | 0 | github-code | 90 |
12752934667 |
from flask import Flask,request,jsonify
import numpy as np
import pickle
import json
app = Flask(__name__)
@app.route("/")
def homepage():
return '<h1> I am a Machine Learning Web</h1>'
@app.route('/api/',methods =['POST'])
def makecalc():
data = request.get_json()
prediction = np... | Locchuong96/backend | Flask/flask_MachineLearning/server.py | server.py | py | 581 | python | en | code | 3 | github-code | 90 |
42006681901 | import math
import random
from typing import List, Tuple
from shor.gates import CNOT, CSWAP, QFT, H, Rx, X
from shor.layers import Qubits
from shor.quantum import Circuit
def factor(N: int) -> Tuple[int, int]:
"""WIP not currently functioning.
The classical part seems to be correct, but the quantum period f... | KhomZ/RSA-encryption-Project | RSA_encrypt_venv/lib/python3.9/site-packages/shor/algorithms/shor.py | shor.py | py | 3,553 | python | en | code | 1 | github-code | 90 |
18296580899 | # coding: utf-8
from math import sqrt
def main():
X = int(input())
for i in range(X, 100004):
tmp = int(sqrt(i))
flg = False
for j in range(2, tmp + 1):
if (i % j == 0):
flg = True
break
if flg == False:
ans = i
... | Aasthaengg/IBMdataset | Python_codes/p02819/s904847497.py | s904847497.py | py | 383 | python | en | code | 0 | github-code | 90 |
35725644884 | from tkinter import Tk
from tkinter import ttk
from tkinter import StringVar, BooleanVar
from tkinter import messagebox
from tkinter import simpledialog
from tkinter import filedialog
from tkinter import OptionMenu
import matplotlib
matplotlib.use("TkAgg")
from matplotlib.figure import Figure
from matplotlib.backends.... | jatufin/ot-harjoitustyo | src/ui/jaturing_frame.py | jaturing_frame.py | py | 27,517 | python | en | code | 1 | github-code | 90 |
12519087585 | ascii_lowercase = 'abcdefghijklmnopqrstuvwxyz'
ascii_uppercase = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ'
digits = '0123456789'
base64_alphabet = ascii_uppercase + ascii_lowercase + digits + '+/'
to_encode = input('Enter the Hex string : ')
hex_string= to_encode.encode('utf-8').hex()
bit_string = (((6 - len(bin(int(hex_string[0]... | oz9un/crypto_basics | conversions/convertHex2base64.py | convertHex2base64.py | py | 1,109 | python | en | code | 7 | github-code | 90 |
22217489775 | from numpy.random import default_rng
import numpy as np
from collections import Counter
from utils import recommender_file_to_df, rating_file_to_df, read_gender_indicative_file, load_gender_vector
def main(**kwargs):
global L_m, L_f # items that are most correlated to males and females, respectively
L_m, L_f... | ingebjrgb/master_delivery | Obfuscation.py | Obfuscation.py | py | 11,000 | python | en | code | 0 | github-code | 90 |
41993162033 | from __future__ import print_function, unicode_literals
import io
import os
import sys
import shutil
import tarfile
import tempfile
import unittest
import warnings
import zipfile
from reprounzip.common import RPZPack
from reprounzip.signals import Signal
class TestSignals(unittest.TestCase):
def test_make_signa... | VIDA-NYU/reprozip | tests/test_reprounzip.py | test_reprounzip.py | py | 9,130 | python | en | code | 285 | github-code | 90 |
41978229769 | import ctypes
import pytest
c_lib = ctypes.CDLL('../solutions/0628-max-product/max-product.so')
@pytest.mark.parametrize('array, ans',
[([1,2,3], 6),
([1,2,3,4], 24),
([-1,-2,-3], -6)])
def test_max_product(array, ans):
arr = (ctypes.c_int ... | msztylko/2020ify-leetcoding | tests/test_0628.py | test_0628.py | py | 410 | python | en | code | 0 | github-code | 90 |
27923501707 | heaps = []
for i in range(15):
print("Enter heap {}: ".format(i))
heaps.append(int(input()))
while(True):
xored = 0
for i in range(15):
xored ^= heaps[i]
print(heaps)
print(xored)
min = 15
for i in range(15):
newXored = xored^heaps[i]
if (newXored < heaps[i]):
... | arty-hlr/CTF-writeups | 2018/XMAS/ultimate_game/nim_sum.py | nim_sum.py | py | 713 | python | en | code | 1 | github-code | 90 |
27062626310 | import config
import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt
def plot_history(history, key, model_name):
#history = history.tolist() # when reading from file
fig = plt.figure()
fig.suptitle(f'Results for {model_name}', fontsize=15)
fig.subplots_adjust(hspace=0.4, t... | mohilbajaj2002/malaria_parasite_detection | utilities.py | utilities.py | py | 2,578 | python | en | code | 0 | github-code | 90 |
28437619815 | # 딥러닝 기본기 다지기
# ch 10. 모델 설계하기
from keras import metrics
import numpy as np
import tensorflow as tf
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
import matplotlib.pyplot as plt
np.random.seed(3)
tf.random.set_seed(3)
Data_set = np.loadtxt("https://raw.githubusercontent.... | Myul23/Deep-Learning-for-everyone | 1-10. 딥러닝 준비 운동/10.py | 10.py | py | 1,567 | python | ko | code | 0 | github-code | 90 |
34064621064 | import rarfile
import zipfile
import shutil
import glob
import os
import sys
def test():
###ここから下がおかしい
###空のzipファイルができてしまう
now_folder = os.getcwd()
files = os.listdir(now_folder)
files_dirs = [f for f in files if os.path.isdir(os.path.join(now_folder, f))]
for files_dir in files_dirs:
#prin... | hako85hako/create_zip_from_rar | test.py | test.py | py | 796 | python | en | code | 0 | github-code | 90 |
2380727757 | brg = []
perintah = 0
while perintah != 7:
print('''1.menambah
2.menghapus
3.mengedit
4.menampilkan
5.cari barang
6.cari index
7.keluar''')
perintah = int(input("masukkan perintah yang di cari:"))
if perintah == 1:
while True:
msk = input("masukkan barang:")
brg.append(msk)
print("barang masuk:",b... | amriwahab01/tugas_kuliah | kasusu listt.py | kasusu listt.py | py | 1,288 | python | id | code | 0 | github-code | 90 |
41685447638 | # LeetCode Problem Title : 14. Longest Common Prefix
# LeetCode Problem Link : https://leetcode.com/problems/longest-common-prefix/
# Solution Explanation : https://youtu.be/qyTIu2vfWq4
class Solution:
def longestCommonPrefix(self, strs: List[str]) -> str:
n = len(strs)
if (n < 2):
... | shaheershukur/LeetCode-Python-Solutions | Python Solutions/14. Longest Common Prefix.py | 14. Longest Common Prefix.py | py | 767 | python | en | code | 0 | github-code | 90 |
17299201376 | import win32gui
import win32api
from win32con import *
from ui.core.UIManager import XUIManager
XEVT__FIRST = WM_USER + 1
XEVT_MOUSEMOVE = WM_USER + 2
XEVT_MOUSELEAVE = WM_USER + 3
XEVT_MOUSEENTER = WM_USER + 4
XEVT_MOUSEHOVER = WM_USER + 5
XEVT_KEYDOWN = WM_USER + 6
XEVT_KEYUP = WM_USER + 7
XEVT_CHAR = WM_USER + 8
X... | xugangjava/PydUI | ui/control/Base.py | Base.py | py | 6,409 | python | en | code | 2 | github-code | 90 |
6945679202 | """
1 - Crie uma função que exibe uma saudação com os parâmetros saudacao e nome.
"""
def mensagem(saudacao, nome):
print(f'{saudacao}, {nome}')
mensagem('Olá','Jessica')
"""
2 - Crie uma função que recebe 3 números como parâmetros e exiba a soma entre eles;
"""
def numero(num1, num2, num3):
print(num1 + num2 +... | JessicaPortilio/Python-Intermediario | Desafio1/aula2.py | aula2.py | py | 1,392 | python | pt | code | 0 | github-code | 90 |
44664792023 | from django.contrib import admin
from django.contrib.auth.admin import UserAdmin
from app.models import Department, Doctor
@admin.register(Department)
class DepartmentAdminWithCount(admin.ModelAdmin):
def doctor_count(self, obj):
return obj.doctors.count()
list_display = ["name",]
list_filter = ... | Evgeniy994/Hospital | app/admin.py | admin.py | py | 787 | python | en | code | 0 | github-code | 90 |
36271031627 | import requests as r
from mtgorp.db.load import Loader as DbLoader
from mtgorp.models.persistent.printing import Printing
from magiccube.collections.cube import Cube
from misccube.cubeload.load import CubeLoader
class Pricer(object):
@classmethod
def price_printing(cls, printing: Printing) -> float:
uri = f'h... | guldfisk/misccube | misccube/cubeprice/cubeprice.py | cubeprice.py | py | 946 | python | en | code | 0 | github-code | 90 |
22619634015 | import pytest
from tempfile import NamedTemporaryFile
import numpy as np
import h5py
from foamstream.tomo.app import (
gen_fake_data, gen_index, sentinel, stream_data_file
)
def test_gen_index_ordered():
ret = []
for i in gen_index(0, 5):
ret.append(i)
assert ret == [0, 1, 2, 3, 4]
def tes... | zhujun98/foamstream | foamstream/tomo/tests/test_tomo_app.py | test_tomo_app.py | py | 3,151 | python | en | code | 0 | github-code | 90 |
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