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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|---|---|---|---|---|---|---|---|---|---|---|---|---|
70497094234 | # coding=utf-8
import json
import os
from study.day12.file_path_manager import FilePathManager
jsondata = '''
{
"Uin":0,
"UserName":"@c482d142bc698bc3971d9f8c26335c5c",
"NickName":"小帅b",
"HeadImgUrl":"/cgi-bin/mmwebwx-bin/webwxgeticon?seq=500080&username=@c482d142bc698bc3971d9f8c26335c5c&skey=@crypt_b0f5e5... | Youngfellows/PythonStudy | study/day12/02_json_str_to_dict.py | 02_json_str_to_dict.py | py | 1,833 | python | en | code | 0 | github-code | 50 |
26193919219 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('esg_leipzig_homepage_2015', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='event',
... | ESG-Leipzig/Homepage-2015 | esg_leipzig_homepage_2015/migrations/0002_event_css_class_name.py | 0002_event_css_class_name.py | py | 771 | python | en | code | 0 | github-code | 50 |
74960190875 | from sklearn.preprocessing import MinMaxScaler
import pandas as pd
import numpy as np
import torch
def remove_max(x):
x[x.argmax()] = np.median(x)
print(x.argmax(), ":", x[x.argmax()], "=>", np.median(x))
return x
def groupby_datapoint(df,
gb='YYYYMMDD',
target=... | CentralPark-gichan/AI_hub | 수요예측 모델[한국타이어]/preprocessing.py | preprocessing.py | py | 1,934 | python | en | code | 3 | github-code | 50 |
71498263194 | def binarySearch(values, k):
top = len(values)-1
bottom = 0
values.sort()
print(values)
found = False
while(found != True):
mid = (top+bottom) // 2
if(values[mid] == k):
print(str(k) + " found at index: " + str(top))
found = True
return True
elif(values[mid] < k):
bottom = mid + 1
elif(values... | timlaroche/PyCLRS | binarysearch.py | binarysearch.py | py | 429 | python | en | code | 0 | github-code | 50 |
2348556791 | import numpy as np
from batch import Batch
import scipy.io
class Perceptron():
def __init__(self, X, Y):
no_weights = X.shape[1]
self.weights = np.random.uniform(0,size=[no_weights])
self.tresh = 0
self.X = X
self.Y = Y
self.l_rate = 0.025
self.train()
def predict(self,X):
Y = []
for x in X:
Y... | NilusvanEdel/EnsembleMethods | decision_tree_constantin/perceptron.py | perceptron.py | py | 1,202 | python | en | code | 2 | github-code | 50 |
18863045142 | import pathlib
import os
import subprocess
import json
from functools import lru_cache
class CuratedAppService:
DIST_CURATED_APPS_FOLDER = "libboutique/curated_apps/dist"
SCRIPT_CURATED_APPS_FOLDER = "libboutique/curated_apps/scripts"
CURATED_APPS_APPLICATION_INDEX = "libboutique/curated_apps/dist/applications-en... | ubuntu-mate/python3-libboutique | libboutique/services/curated_app_service.py | curated_app_service.py | py | 857 | python | en | code | 6 | github-code | 50 |
40232711881 | """__author__ = 唐宏进 """
if __name__ == '__main__':
def fun1():
for x in range(10):
return x
# 0 < class 'int'> < class 'function' >
print(fun1(),type(fun1()),type(fun1))
# 1.yield关键字
"""
只要函数中有yield关键字，那么这个函数就会变成一个生成器。
a.有yield的函数，在调用函数的时候不再是获取返回值，
而是产生一个生成器对象... | M0use7/python | day10-函数和文件操作/04-生成器.py | 04-生成器.py | py | 1,782 | python | zh | code | 0 | github-code | 50 |
7273497639 | """
Schema aplicatiei:
oferim o locatie si vrem sa vedem cate grade sunt acolo acum, si eventual alte date
vrem sa trimitem aceste informatii o data pe ora la un cont de telegram
"""
# import the module
import python_weather
#pip install python-weather
import asyncio
import telegram
#pip install python-telegram-bot - -... | constantinus345/sda_47_con | weather_app.py | weather_app.py | py | 1,969 | python | en | code | 0 | github-code | 50 |
28402807345 | import logging.config
from random import choice
#
from conf import *
logging.config.dictConfig(LOG_CONFIG)
logger = logging.getLogger('Utils')
def dict_to_format_string(dct: dict) -> str:
"""Переводит словарь в строку, которую можно отправить в виде сообщения"""
res = ''
for key, val in dct.items():
... | kosumosuSpb/tgbot_sun_it_people | utils.py | utils.py | py | 747 | python | ru | code | 0 | github-code | 50 |
24497008116 | from django.conf.urls import url
from . import views
from django.conf.urls import include, url
from django.conf import settings
from django.conf.urls.static import static
media_root = getattr(settings, 'MEDIA_ROOT', '/media')
app_name = 'polls'
urlpatterns = [
url(r'^$',views.test),
url(r'^vocabtest/$', views... | ameyashirke13/Ld_detect | polls/urls.py | urls.py | py | 1,053 | python | en | code | 0 | github-code | 50 |
18093083869 | import spotipy
from spotipy.oauth2 import SpotifyClientCredentials
import time
from graphviz import Graph
import argparse
g = Graph(format='png')
parser = argparse.ArgumentParser()
parser.add_argument("-p", "--primary", help="primary artist")
parser.add_argument("-s", "--secondary", help="secondary artist")
args = pa... | mi-ki-ri/six-step | app.py | app.py | py | 2,693 | python | en | code | 0 | github-code | 50 |
12650428269 | import pandas as pd
from rdkit.Chem.Descriptors import fr_benzene # type: ignore
def fr_benzene_1000_heavy_atoms_count(mol):
return 1000 * fr_benzene(mol) / mol.GetNumHeavyAtoms()
# From https://github.com/rinikerlab/molecular_time_series/blob/55eb420ab0319fbb18cc00fe62a872ac568ad7f5/ga_lib_3.py#L323
DEFAULT_... | datamol-io/splito | splito/simpd/descriptors.py | descriptors.py | py | 1,034 | python | en | code | 5 | github-code | 50 |
1532402723 | import argparse
import os
import glob
import ot
from sklearn.manifold import TSNE
import matplotlib.patheffects as PathEffects
import seaborn as sns
import numpy
from tqdm import tqdm
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.decomposition import PCA, TruncatedSVD
from torch.u... | Fusang-Wang/mcr2 | compare.py | compare.py | py | 7,976 | python | en | code | null | github-code | 50 |
4353031890 | def display_diagonal_elements(matrix):
diagonal = []
non_diagonal = []
upper_diagonal = []
lower_diagonal = []
rows = len(matrix)
cols = len(matrix[0])
for i in range(rows):
for j in range(cols):
if i == j:
diagonal.append(matrix[i][j])
... | SAIKRISHNA239/EZ-TS-2 | diagional elements.py | diagional elements.py | py | 1,127 | python | en | code | 0 | github-code | 50 |
10503617394 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
#uncomment the plt.show() function to display the charts.
df = pd.read_csv('test1.csv')
null_val=df.isnull().sum(axis = 0)
print(null_val)
null_val.plot(kind="barh")
plt.tight_layout()
plt.show()
df_tmp = df['What is your gender?']
all_male... | sfikouris/DM | task1/A1/plots.py | plots.py | py | 1,089 | python | en | code | 0 | github-code | 50 |
11963146837 | # Definition for singly-linked list.
# class ListNode:
# def __init__(self, val=0, next=None):
# self.val = val
# self.next = next
class Solution:
def deleteDuplicates(self, head: Optional[ListNode]) -> Optional[ListNode]:
node = head
while node and node.next:
... | duressa-feyissa/A2SV_Programming | 0083-remove-duplicates-from-sorted-list/0083-remove-duplicates-from-sorted-list.py | 0083-remove-duplicates-from-sorted-list.py | py | 569 | python | en | code | 0 | github-code | 50 |
18207164077 | #!/usr/bin/env python
##
# ____ _ _ _ _ _
# | _ \ / \ | | | | | / \
# | |_) / _ \| | | | | / _ \
# | __/ ___ \ |_| | |___ / ___ \
# |_| /_/ \_\___/|_____/_/ \_\
#
#
# Personal
# Artificial
# Unintelligent
# Life
# Assistant
#
##
from paula.core import system
f... | NorfairKing/PAULA-proof-of-concept | paula/sleep/sleep.py | sleep.py | py | 901 | python | en | code | 5 | github-code | 50 |
7365275059 | from models import Model
from models.ajaxcomment import Ajaxcomment
from models.comment import Comment
from models.user import User
class AjaxWeibo(Model):
"""
微博类
"""
def __init__(self, form, user_id=-1):
super().__init__(form)
self.content = form.get('content', '')
... | Jeffreve/socket_web | models/ajaxweibo.py | ajaxweibo.py | py | 1,046 | python | en | code | 0 | github-code | 50 |
20390876489 | """ Handles auth to Okta and returns SAML assertion """
# pylint: disable=C0325,R0912,C1801
# Incorporates flow auth code taken from https://github.com/Nike-Inc/gimme-aws-creds
import sys
import time
import requests
import re
from codecs import decode
from urllib.parse import parse_qs
from urllib.parse import urlparse
... | seajoshc/dockerfiles | terrata/hacked_okta_auth.py | hacked_okta_auth.py | py | 22,599 | python | en | code | 0 | github-code | 50 |
44566172798 | import pytest
import os.path
try:
import pyarrow as pa
arrow_version = pa.__version__
except ImportError as msg:
print('Failed to import pyarrow: {}'.format(msg))
pa = None
arrow_version = None
import numpy as np
from librmm_cffi import librmm as rmm
from cudf.comm.gpuarrow import GpuArrowReader... | yongsheng268/rapidsai-cudf | python/cudf/tests/test_sparse_df.py | test_sparse_df.py | py | 2,576 | python | en | code | 0 | github-code | 50 |
26045700219 | import sys
import requests
import json
url = "http://k.episte.co/keywords/similars"
def get_synonyms(infile, outfile, n):
with open(infile, 'r') as jsonfile:
data = json.load(jsonfile)
output = {}
for k in data['keywords']:
r = requests.get(url, params={'positive': k, 'size': n})
... | ESHackathon/keyword_synonyms | keywords.py | keywords.py | py | 545 | python | en | code | 1 | github-code | 50 |
17047373269 | import json
import trustlab.lab.config as config
import time
from asgiref.sync import sync_to_async
from rest_framework.renderers import JSONRenderer
from trustlab.consumers.chunk_consumer import ChunkAsyncJsonWebsocketConsumer
from trustlab.models import *
from trustlab.serializers.scenario_serializer import ScenarioS... | zaman365/travos_trust_model | trustlab/consumers/lab_consumer.py | lab_consumer.py | py | 13,452 | python | en | code | 0 | github-code | 50 |
20206520026 | from view.commands.command import Command
class SearchByID(Command):
def __init__(self, presenter, view):
"""
Поиск заметки по идентификатору
:param presenter: презентер
:param view: представление
"""
super().__init__(presenter, view)
super().set_description... | bunny-nun/git-advance-hw | view/commands/search/search_by_id.py | search_by_id.py | py | 1,003 | python | ru | code | 0 | github-code | 50 |
70071774237 | def main():
data = readFile(input().strip())
if data is None:return -1
lst = data["list"]
n = data["n"]
subs = getSubLists(lst,n)
domins = [getDominant(sub) for sub in subs]
result = getResult(domins,len(lst))
if writer("result.txt",result)==-1:return -1
def writer(out... | samitha278/UoM-Labs | Programming Assignment 2/uom 2015 pp2/2015-PA2-A3-1 - D.List/D.List.py | D.List.py | py | 1,476 | python | en | code | 0 | github-code | 50 |
9658908858 | import pathlib
import diffhtml
import flask
from flask import request
from markupsafe import Markup
app = flask.Flask(
'Diff-HTML Demo',
template_folder=pathlib.Path(__file__).parent.joinpath('templates'),
)
DEFAULT_A = """
I am the very model of a modern Major-General,
I've information vegetable, animal,... | uranusjr/diffhtml | demo/app.py | app.py | py | 1,395 | python | en | code | 23 | github-code | 50 |
9604369230 | """Spezielle Tags für templates."""
from django.conf import settings
from django.utils.module_loading import import_module
from django import template
from operator import itemgetter
from Startseite.views import sysstatus
from webpack_loader import utils
from webpack_loader.exceptions import WebpackBundleLookupE... | german-in-austria/dioeDB | app/Startseite/templatetags/dioeTags.py | dioeTags.py | py | 4,802 | python | en | code | 2 | github-code | 50 |
12632545151 | from django.contrib import admin
from django.urls import path, include
from Insta.views import (PostListView, PostDetailView, PostCreateView, PostUpdateView,
PostDeleteView, UserProfile, EditProfile, ExploreView,
SignupView, addLike, addComment, toggleFollow)
urlpatte... | clareli9/InstagramDemo | Insta/urls.py | urls.py | py | 1,194 | python | en | code | 0 | github-code | 50 |
20877344117 | import open3d as o3d
from os.path import join, exists
from os import makedirs, listdir
import numpy as np
import cv2
from utils import *
from pcd2mesh import pcd2mesh
from sklearn.neighbors import NearestNeighbors
depth_nbrs = None
rgb_nbrs = None
def depth_to_colormapjet(depth):
depth_color = depth.... | Ribosome-rbx/Color_Map_Optimization | color_map_optimization.py | color_map_optimization.py | py | 11,580 | python | en | code | 1 | github-code | 50 |
30413103525 | # https://zhuanlan.zhihu.com/p/38163970
import numpy as np
from matplotlib import pyplot as plt
fig = plt.figure() #定义新的三维坐标轴
ax1 = plt.axes(projection='3d')
x1 = np.arange(-5,5,0.5)
x2 = np.arange(-5,5,0.5)
x1, x2 = np.meshgrid(x1, x2)
Z = x1**2 - 2*x1+1+x2**2+4*x2+4
g1 = 10-x1-10*x2
g2 = 10*x1-x2-10
ax1.plot_su... | shao1chuan/regression | 机器学习/svm/kkt plot.py | kkt plot.py | py | 572 | python | en | code | 1 | github-code | 50 |
9397338642 | from torch.utils.data.dataset import Dataset
import pandas as pd
import numpy as np
import torch
import SimpleITK as sitk
import random
import sys
sys.path.append('../')
import utils as dmutils
class ContinuousDataset(Dataset):
"""
Base class for a dataset for training on a continuous data stream
"""
... | cirmuw/dynamicmemory | dataset/ContinuousDataset.py | ContinuousDataset.py | py | 7,186 | python | en | code | 13 | github-code | 50 |
16198159058 | import my_queue
import time
import random
def simulate_line(till_show, max_time):
pq = my_queue.Queue()
tix_sold = []
for i in range(100):
pq.enqueue("person" + str(i))
t_end = time.time() + till_show
now = time.time()
while now < t_end and not pq.is_empty():
now = time.time()... | 98shimpei/python_test | ticket.py | ticket.py | py | 527 | python | en | code | 0 | github-code | 50 |
28720445234 | # import tkinter as tk
#
# root = tk.Tk()
# root.title('Languages')
# root.geometry('500x300')
#
# v = tk.IntVar()
# v.set(1)
#
#
# def show_val():
# print(v.get())
#
#
# languages = [(1, "JAVA"), (2, "Python"), (3, "c#"), (4, "Javascript")]
# tk.Label(root, text="""Choose Language you like most""", ... | Yash-barot25/functions-timemodlues-ranges | TkinterHandsOn/Demo8.py | Demo8.py | py | 1,199 | python | en | code | 0 | github-code | 50 |
17406595834 | import re
import pprint
def get_new_loc(op, val, loc, acc):
"""updates accumulator and finds next line location"""
if op == "jmp":
loc += int(val)
elif op == "acc":
acc += int(val)
loc += 1
else:
loc += 1
return loc, acc
def flip_op(op):
"... | JackNelson/advent-of-code | 2020/day8.py | day8.py | py | 1,996 | python | en | code | 0 | github-code | 50 |
36856186258 | import string
import json
import pickle
import itertools
import collections
import numpy as np
import math
TRAIN_PATH = "data/yelp_reviews_train.json"
TEST_PATH = "data/yelp_reviews_test.json"
DEV_PATH = "data/yelp_reviews_dev.json"
STOPWORD_LIST = "data/stopword.list"
TOP_K_FOR_FEATURE = 2000
NUM_FEATURE = 5
def pr... | sharonwx54/TextMining | NetflixReview/data_preprocess.py | data_preprocess.py | py | 6,863 | python | en | code | 0 | github-code | 50 |
22312550501 | # -*- coding: utf-8 -*-
from rest_framework import relations
from rest_framework.test import APIRequestFactory
from ralph.api.serializers import ReversedChoiceField
from ralph.api.tests.api import (
Car,
CarSerializer,
CarViewSet,
ManufacturerSerializer2,
ManufacturerViewSet
)
from ralph.api.viewse... | 0x24bin/ralph | src/ralph/api/tests/test_viewsets.py | test_viewsets.py | py | 2,558 | python | en | code | null | github-code | 50 |
17438254361 | count=0
total=0
while True:
n= int(input("Enter an integer (-1 to exit): "))
if n==-1:
break
count+=1
total+=n
print(f"The sum of {count} number(s) is {total}.") | HiMAIayas/SIIT_Lab | GTS123 (Intro To ComProg)/lab7 (while loop)/lab7_9.py | lab7_9.py | py | 190 | python | en | code | 0 | github-code | 50 |
30098709852 | from lxml import etree
class XPATH_CONTEXT (object):
def __init__ (self, file_path, ns_prefix = None):
self.doc = etree.parse (file_path)
if ns_prefix:
self.nsmap = {ns_prefix : self.doc.getroot().nsmap [None]}
else:
self.nsmap = None
def attribute (self, xpath):
attrib_list = self.node_list (xpath)
... | finnianr/Eiffel-Loop-safe | tool/python-support/eiffel_loop/xml/xpath.py | xpath.py | py | 794 | python | en | code | 1 | github-code | 50 |
6351621109 | import machine
from time import sleep
from ssd1306 import SSD1306_I2C
class Pantalla:
def __init__(self, pin1=5, pin2=4):
'''Init display'''
i2c = machine.I2C(scl=machine.Pin(pin1), sda=machine.Pin(pin2))
self.oled = SSD1306_I2C(128, 32, i2c)
self.clear()
def clear(self, color=... | katmai1/microesp | pantalla.py | pantalla.py | py | 609 | python | es | code | 0 | github-code | 50 |
18243852987 | budget = float(input())
statist = int(input())
clothes_number = float(input())
decor = 0.1 * budget
if statist >= 150:
clothes_price = clothes_number * 0.9 * statist
else:
clothes_price = clothes_number * statist
outcome = clothes_price + decor
needed = outcome - budget
have = budget - outcome
... | gajev/programming_basics | Conditional_statements_lab/Godzilla_vs_kong.py | Godzilla_vs_kong.py | py | 551 | python | en | code | 0 | github-code | 50 |
1169656225 | import molsysmt as msm
import os
import shutil
from pathlib import Path
data_dir = Path('../../../data')
# Purge
files_to_be_purged = [
'pdb/5zmz.pdb',
'mmtf/5zmz.mmtf',
]
for filename in files_to_be_purged:
filepath = Path(data_dir, filename)
if os.path.isfile(filepath):
os.... | uibcdf/MolSysMT | molsysmt/systems/make/5zmz.py | 5zmz.py | py | 573 | python | en | code | 11 | github-code | 50 |
73735252956 | # -*- coding: utf-8 -*-
import scrapy
from scrapy.selector import Selector
from scrapy.http import Request
from douban.items import HuanQiuChina, DaoMuBiJi
class Douban(scrapy.Spider):
name = 'huanqiu_china'
start_urls = ['http://china.huanqiu.com/']
def parse(self, response):
media_xpath = '/htm... | zhannglei/douban | douban/spiders/spider.py | spider.py | py | 2,060 | python | en | code | 0 | github-code | 50 |
13139475765 | __author__ = 'jwilliams'
import os
import lib
#user defined vars
path = 'L:\\cbt_video_published\\content\\';
lesson = 'EL-2-Current'
code = 'FM' #setting code will check an entire product, set to 'HU-', 'IFR-', 'EG-' ect..
dir = path + lesson + "\\"
os.chdir(dir)
if code:
result = lib.check_product... | GibsonStudio/pythonProjects | find_unused_in_html/main.py | main.py | py | 479 | python | en | code | 0 | github-code | 50 |
12041162217 | import sys
import datetime
windowName = "SpaceX Booster Use/Reuse Beholder"
chartName = "SpaceX Core History"
spaceXCreationDate = datetime.date(2002, 5, 6)
colors = {
'EXPENDED': '#bbbbbb',
'HOP': '#d9ff5e',
'OCEAN': '#053fff',
'RTLS': '#06b700',
'ASDS': '#56b9f7',
'RUD': '#ff0000',
'REUSE':... | rinoldm/SBURB | data.py | data.py | py | 2,314 | python | en | code | 7 | github-code | 50 |
2472224163 | # Import the dependencies.
import configparser
from datetime import datetime
from uuid import uuid4
from pathlib import Path
import os
# Import client library classes.
from influxdb_client import Authorization, InfluxDBClient, Permission, PermissionResource, Point, WriteOptions
from influxdb_client.client.authorizatio... | olegtemirbulatov/sensors | sensorslist/devices.py | devices.py | py | 7,382 | python | en | code | 0 | github-code | 50 |
23999549107 | bl_info = {
"name": "Bizualizer",
"description": "Create a simple vizualizer for audio",
"author": "doakey3",
"version": (1, 0, 3),
"blender": (2, 7, 8),
"wiki_url": "https://github.com/doakey3/Bizualizer",
"tracker_url": "https://github.com/doakey3/Bizualizer/issues",
"category": "Anima... | JT-a/blenderpython279 | scripts/addons_extern/bizualizer.py | bizualizer.py | py | 9,526 | python | en | code | 5 | github-code | 50 |
3723862412 | import random
import time
class SF():
def regiun(self):
'''生成身份证前六位'''
#列表里面的都是一些地区的前六位号码
first_list = ['362402','362421','362422','362423','362424','362425','362426','362427','362428','362429','362430','362432','110100','110101','110102','110103','110104','110105','110106','110107','110108... | zguo0601/drg | common/sf_xm.py | sf_xm.py | py | 3,303 | python | en | code | 0 | github-code | 50 |
15485978789 | import json
import pytest
from gviz_data_table.table import Table
valid_schema = (
{'id':'age', 'type':int, 'label':'Age'},
{'id':'name', 'type':str, 'label':'Name'}
)
schema_missing_id = (
{'type':int},
{'name':'age', 'type':int}
)
bob = (18, 'Bob')
sally = (20, 'Sally')
def test_conditional():
... | GoogleCloudPlatform/hellodashboard | gviz_data_table/tests/test_table.py | test_table.py | py | 3,832 | python | en | code | 11 | github-code | 50 |
23230063846 | # -*- coding: utf-8 -*-
"""
Created on Tue Jul 16 15:16:29 2019
@author: Andy
"""
import matplotlib.pyplot as plt
import numpy as np
im_path = '..\\..\\EXPERIMENTS\\Italy\\data\\adsa\\20190701_1k2f_60c_volume_ref.bmp'
area = 5.19/3.6 * 7.58/3.6 # mm^2
im = plt.imread(im_path)
im_bw = im[:,:,0] == 0
plt.imshow(im_b... | andylitalo/g-adsa | src/util_clicking/compute_area.py | compute_area.py | py | 852 | python | en | code | 0 | github-code | 50 |
27005882350 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import statsmodels.api as sm
from numpy import exp
from arch import arch_model
from sklearn.metrics import mean_squared_error
from statsmodels.tsa.arima.model import ARIMA
from scipy import stats
from datetime import datetime
import warnin... | cwk0507/MSDM | MSDM5053/Project/Working/HSBC (2).py | HSBC (2).py | py | 12,097 | python | en | code | 0 | github-code | 50 |
40991595889 | """
Calculate the z-score
"""
__author__ = "Matt DeSaix"
# libraries
import numpy as np
from WGSassign import zscore_cy
def AD_summary(L, AD, i, n_threshold, single_read_threshold):
AD_GL_dict = {}
for s in np.arange(AD.shape[0]):
# The key is the allele depth combination
key = tuple([AD[s,2*i], AD[s,2*i... | mgdesaix/WGSassign | WGSassign/zscore.py | zscore.py | py | 5,775 | python | en | code | 3 | github-code | 50 |
31612041978 | # Program szyfruje i deszyfruje zahardkowana wiadomosc
# Aes tszyfruje bloki co 16 bitow wiec musimy uzupelnic znaki (funkcja dopelnienie do16)
from Crypto.Cipher import AES
import codecs
def dopelnienie_do16(zmienna):
result = zmienna + (16-len(zmienna))*']'
return result
key = b"Sixteen byte key"
cipher = ... | KBITSecurity/Notes | Programming/Python/UsingScripts/AES.py | AES.py | py | 828 | python | pl | code | 0 | github-code | 50 |
40108172990 | import FWCore.ParameterSet.Config as cms
process = cms.Process("TEST")
process.a = cms.ESSource("PoolDBESSource",
DBParameters = cms.PSet(
messageLevel = cms.untracked.int32(0),
authenticationPath = cms.untracked.string('.')
),
toGet = cms.VPSet(cms.PSet(
record = cms.string('Pedest... | cms-sw/cmssw | CondCore/ESSources/test/python/print_ped_bylabel_cfg.py | print_ped_bylabel_cfg.py | py | 1,051 | python | en | code | 985 | github-code | 50 |
72770423834 | import itertools
#given a list of numbers and a number k,
#print out the sum of any two numbers in the list = k
num = [10,15,3,7]
mylst = list(itertools.combinations(num,r=2))
print (mylst)
def to_k(lst,k):
for num1, num2 in lst:
if num1 +num2 == k:
print (f" found: {num1} + {num2} = {k}")
... | JieCMarshall/mylearning | Data_Alg_Exer/iterations.py | iterations.py | py | 432 | python | en | code | 0 | github-code | 50 |
73221936154 | import os
import torch
import torch.nn as nn
from transformers import Trainer
from typing import Optional
from transformers import AutoTokenizer
from video_chatgpt.model import VideoChatGPTLlamaForCausalLM
# from peft import PeftModel
from video_chatgpt.constants import *
def unwrap_model(model: nn.Module) -> nn.Modu... | Muhammad4hmed/VideoLlama | video_chatgpt/train/llava_trainer.py | llava_trainer.py | py | 3,312 | python | en | code | 0 | github-code | 50 |
34749491204 | def dask_setup(worker):
import os
from cachetools import LRUCache
def get_classads():
fname = os.getenv("_CONDOR_JOB_AD")
if not fname:
return {}
d = {}
with open(fname) as fh:
for line in fh:
if "=" not in line:
co... | mhl0116/cscbkg | cachepreload.py | cachepreload.py | py | 875 | python | en | code | 0 | github-code | 50 |
5100305823 | import os
def split_file(file_path, output_dir, chunk_size=50*1024*1024):
if not os.path.exists(output_dir):
os.makedirs(output_dir)
file_name = os.path.basename(file_path)
file_size = os.path.getsize(file_path)
num_chunks = (file_size // chunk_size) + 1
with open(file_path, 'rb') as infi... | benhmoore/reduce-llm | preprocessing/seperator.py | seperator.py | py | 843 | python | en | code | 0 | github-code | 50 |
74368632154 | #coding=utf-8
# 命令行命令， 批量tex转换
import sys
import texf_topng
import os
def texf_topng_batch(filedir, den="200"):
if not os.path.isdir(filedir):
print("Need a dir with only tex files")
return
absfiledir = os.path.abspath(filedir)
os.chdir(absfiledir)
for root, dirs, files in os.walk(ab... | IshmaelHeathcliff/find-inline-formulae | ttpb.py | ttpb.py | py | 744 | python | en | code | 0 | github-code | 50 |
38020566206 | def busquedaLineal(lista,encontrar):
isInList = False
for elemento in lista:
if elemento == encontrar:
isInList = True
return isInList
listaEntrada = [2,12,34,5,11,59,4,3,1]
valorEncontrar = int(input('ingrese un número : '))
listaEntrada.sort()
print(busquedaLineal(listaEntrada, valorE... | weincoder/algoritmos202101 | clases/algoritmos/busquedaLineal.py | busquedaLineal.py | py | 747 | python | es | code | 1 | github-code | 50 |
19831926647 | __author__ = 'Alessio'
from project import app
import logging.handlers
from logging import FileHandler, Formatter
from datetime import *
class Logging(logging.FileHandler):
@classmethod
def __init__(self,user_connect_=None):
self.user_connect = user_connect_
self.application = app\
... | Sirbin/icollectweb | project/Loggin_Debug.py | Loggin_Debug.py | py | 1,347 | python | en | code | 0 | github-code | 50 |
24975343920 | import numpy as np
class resultsStats:
def __init__(self, collisionTable,lastHops ,numNodes,seedList,time,seed = 256,threshold = 0.9):
self.threshold = threshold
self.seed = seed
self.time = sum(time[0:self.seed])/len(time[0:self.seed])
self.maxHop = max(lastHops[0:self.seed])
... | BigDataLaboratory/MHSE | analyze_results/src/objects/stats.py | stats.py | py | 5,525 | python | en | code | 4 | github-code | 50 |
33026470883 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Auteur : Aelaig COURNEZ - Flora GUES - Yann LAMBRECHTS - Romain SAFRAN
# Librairies importee
import numpy as np
import pandas
import struct
import glob
import os
import time
import datetime as dt
from pyproj import Proj, transform
#-----------------------... | cournez-ensta/Projet_Classification_2021 | Scripts_Python/decode_and_save_EA400data_with_NME0.py | decode_and_save_EA400data_with_NME0.py | py | 29,607 | python | fr | code | 0 | github-code | 50 |
22417742951 | from alumina.config.userModel import AluminaUserModel
from django.shortcuts import render
from ATUJobPortal.config.authentication import Authentication
from django.http.response import HttpResponseRedirect
def aluminaApplicationController(request):
auth = Authentication(request)
msg = None
errorMessage =... | tmsoft96/ATUJobPortal | alumina/controllers/aluminaApplicationController.py | aluminaApplicationController.py | py | 1,402 | python | en | code | 1 | github-code | 50 |
15142269500 | import cv2 as cv
import numpy as np
image_width = 480
image_height = 640
def sort_points(points):
points = points.reshape((4, 2))
points_new = np.zeros((4, 1, 2), dtype=np.int32)
_sum = points.sum(1)
_diff = np.diff(points, axis=1)
points_new[0] = points[np.argmin(_sum)]
points_new[3] = poin... | chaos-6666/cv-projects | doc_scan.py | doc_scan.py | py | 2,298 | python | en | code | 0 | github-code | 50 |
25953188511 | import keras
from keras.models import load_model
from agent.agent import Agent
from functions import *
import sys
if len(sys.argv) != 4:
print('Usage: python evaluate.py [stock] [model] [window_size]')
exit()
stock_name, model_name, window_size = sys.argv[1], sys.argv[2], int(sys.argv[3])
agent = Agent(wind... | goho302jo03/nn_model | q-trader/evaluate.py | evaluate.py | py | 1,327 | python | en | code | 0 | github-code | 50 |
8147050964 | from PIL import Image, ImageDraw
import math
import random
import numpy as np
import matplotlib.pyplot as plt
random_seed = 123456789
random.seed(random_seed)
def to_rgb(image):
rgb = image.convert("RGB")
width = image.width
height = image.height
matrix = np.zeros((width, height, 3))
for x in range(width):
for... | HyTruongSon/Dirichlet_Process | ising_gibbs.py | ising_gibbs.py | py | 2,661 | python | en | code | 0 | github-code | 50 |
28612570847 | import os
from tkinter import *
import tkinter.messagebox as tkMessageBox
from idlelib.container import Container, TabbedContainer, ProxyContainer
class FileList:
# N.B. this import overridden in PyShellFileList.
from idlelib.EditorWindow import EditorWindow
def __init__(self, root):
self.root =... | roseman/idle | FileList.py | FileList.py | py | 7,409 | python | en | code | 48 | github-code | 50 |
36603213242 | import unittest
from unittest import mock
import pandas as pd
from exabel_data_sdk.client.api.data_classes.entity import Entity
from exabel_data_sdk.client.api.data_classes.entity_type import EntityType
from exabel_data_sdk.client.api.entity_api import EntityApi
from exabel_data_sdk.client.client_config import Client... | Exabel/python-sdk | exabel_data_sdk/tests/util/test_resource_name_normalization.py | test_resource_name_normalization.py | py | 16,285 | python | en | code | 5 | github-code | 50 |
6994254119 | import numpy as np
import pandas as pd
from sklearn import linear_model
class PolynomialRegression:
def __init__(self,degree, Data):
self.degree = degree
self.regr = linear_model.LinearRegression()
self.dataset = pd.read_csv(Data, sep=" ")
self.y = self.dataset.iloc[:,-1:].values
... | JuanBC9/UnityCar-AI- | Assets/Scripts/PolynomialRegression.py | PolynomialRegression.py | py | 1,521 | python | en | code | 0 | github-code | 50 |
39980500210 | import cv2 as cv
import os
import numpy as np
import matplotlib.pyplot as plt
import sys
from pathlib import Path
from src.body_measure import draw_slice_data
from src.util import preprocess_image
import argparse
if __name__ == '__main__':
ap = argparse.ArgumentParser()
ap.add_argument("-f", "--front_img", re... | amitbend/body_measure | src/viz_measurement_result.py | viz_measurement_result.py | py | 2,863 | python | en | code | 3 | github-code | 50 |
1465408384 | import heapq
import sys
input = sys.stdin.readline
print = sys.stdout.write
v, e = map(int, input().split())
a = int(input())
graph = {i: [] for i in range(1, v + 1)}
for _ in range(e):
i, j, w = map(int, input().split())
graph[i].append((j, w))
dis = {k: float('inf') for k in graph.keys()}
dis[a] = 0
hq =... | kkg5/algorithm | step/shortest_path/1753_최단경로.py | 1753_최단경로.py | py | 723 | python | en | code | 0 | github-code | 50 |
74937154396 | from django.urls import path, include
from rest_framework import routers
from . import views
router = routers.DefaultRouter()
router.register(r'tests', views.TestView)
urlpatterns = [
path('', views.index, name='index'),
path('random', views.random, name='random'),
path('router/', include(router.urls))
] | filipweidemann/testing-heroku-deployment | blog/urls.py | urls.py | py | 320 | python | en | code | 0 | github-code | 50 |
40237107262 | from ..parse_json import parse
from pathlib import Path
def more_about_health(make_intimate_comfortable, user_dont_know):
msg_id = "about_health.0"
path = (
Path("consultation_bot/bot/user_dont_know/data/")
/ "data_more_about_health.json"
)
DEFAULT_ACTIONS = {
"default-1": (m... | mary-zh555/Consultation_bot | consultation_bot/bot/user_dont_know/more_about_health.py | more_about_health.py | py | 484 | python | en | code | 0 | github-code | 50 |
17553389056 | class Points:
def __init__(self,x,y):
self.x = x
self.y = y
def getDistance(self,other): #两点之间距离公式
return ((self.x - other.x) ** 2+(self.y - other.y) ** 2)**0.5
def type_triangle(self,p2,p3):
self_p2 = self.getDistance(p2)
self_p3 = self.getDistance(p3)
... | HongwuQz/PythonHmwk | BigData/6.2/BigData6.2.py | BigData6.2.py | py | 1,294 | python | en | code | 1 | github-code | 50 |
40699599039 | curr = 0
maxcals = 0
data = []
def process_input(line):
global maxcals, curr, data
if len(line) >0:
curr += int(line)
else:
data.append(curr)
curr = 0
def load_data(filename):
global data, curr
with open (filename, 'r') as file:
lines = file.readlines()
... | likwidoxigen/PythonExercises | AdventOfCode/2022/01/01.py | 01.py | py | 716 | python | en | code | 0 | github-code | 50 |
10261374824 | from tkinter import*
from timeit import default_timer
fenêtre = Tk()
can=Canvas(fenêtre,bg="white",height=100,width=150)
can.pack()
def chronomètre():
now = default_timer() - début
minutes,secondes = divmod (now, 60)
heures,minutes = divmod(minutes,60)
str_time = "%d:%02d:%02d"%(heures,minutes,seconde... | pauld01/amazing-maze | src/chronometre-master/chrono fonctionnel avec simple fenêtre graphique.py | chrono fonctionnel avec simple fenêtre graphique.py | py | 512 | python | fr | code | 0 | github-code | 50 |
15327825624 | # -*- coding: utf-8 -*-
"""
Created on Wed Dec 11 15:27:44 2019
@author: KAMPFF-LAB-ANALYSIS3
"""
import numpy as np
import matplotlib.pyplot as plt
import random
import seaborn as sns
#from filters import *
import os
#os.sys.path.append('/home/kampff/Repos/Pac-Rat/libraries')
os.sys.path.append('D:/Repos/Pac-Rat/lib... | kampff-lab/Pac-Rat | scripts/ephys/MUA_heatmap.py | MUA_heatmap.py | py | 7,674 | python | en | code | 0 | github-code | 50 |
1156440255 | from molsysmt._private.exceptions import *
from molsysmt.api_forms.common_gets import *
import numpy as np
from molsysmt import puw
from molsysmt.native.molecular_system import molecular_system_components
form_name='molsysmt.TrajectoryDict'
from_type='class'
is_form={
}
info=["",""]
has = molecular_system_component... | uibcdf/MolSysMT | attic/api_forms/api_molsysmt_TrajectoryDict.py | api_molsysmt_TrajectoryDict.py | py | 13,530 | python | en | code | 11 | github-code | 50 |
19317832681 | from sklearn.metrics import auc, roc_curve
import matplotlib.pyplot as plt
def plot_roc_auc(y_true, y_pred, savepath=None):
if type(y_true) in (list, tuple) and type(y_pred) in (list, tuple):
assert len(y_true) == len(y_pred)
if len(y_true) > 5:
raise ValueError('Up to 5 lines supporte... | mmikolajczak/recommendation_system_hetrec2011_movielens | recommendations_system/experiments_scripts/plotting.py | plotting.py | py | 1,130 | python | en | code | 5 | github-code | 50 |
73752449436 | from django.urls import path, include
from .views import CategoryList, CategoryDetail, EventList, EventDetail, SeatList, SeatDetail, SeatCategoryList, SeatCategoryDetail, EventImageList, EventImageDetail, EventListForCategory
from apps.accounts.signals import create_category_api, create_event_api
from . import views
a... | FakirHerif/react-django | backend/server/apps/accounts/urls.py | urls.py | py | 1,557 | python | en | code | 2 | github-code | 50 |
38239478292 | ## 1. The Range ##
import pandas as pd
houses = pd.read_table('AmesHousing_1.txt')
def range(a):
return ( max(a) - min(a) )
k = houses['Yr Sold'].value_counts().reset_index()
range_by_year ={}
for i in k['index']:
hou =houses[houses['Yr Sold']==i]
range_by_year[i] = range(hou['SalePrice'])
one = ... | nemkothari/Statistics-Intermediate | Measures of Variability-308.py | Measures of Variability-308.py | py | 5,124 | python | en | code | 0 | github-code | 50 |
38585374633 | import os
os.environ['KMP_DUPLICATE_LIB_OK'] = 'True'
import datetime
from common.buffer import PrioritizedBuffer
import torch.nn as nn
import torch.autograd as autograd
import torch.nn.functional as F
import random
import gym
import numpy as np
from tqdm import tqdm
import torch
import matplotlib.pyplot as plt
impo... | cgl-dong/my_rl | hand/PER_DQN2.py | PER_DQN2.py | py | 5,999 | python | en | code | 0 | github-code | 50 |
28371073407 | """Processing environment to store, retrieve, and add aliases."""
from __future__ import annotations
import os.path
Aliases: dict[str, list[str]] = {}
alias_relative_file: str = "../../config/alias.txt"
def alias_exists_for(name: str):
return name in Aliases.keys()
def command_for_alias(name: str):
return A... | AD417/LEDControl | internals/command/Alias.py | Alias.py | py | 1,940 | python | en | code | 0 | github-code | 50 |
40509752290 | class Solution:
def maxProfit(self, prices: list[int]) -> int:
left = 0
right = 1
difference = 0
while right < len(prices):
currentProfit = prices[right] - prices[left]
if prices[left] < prices[right]:
difference = max(currentProfit, difference... | Yahoo002/pythonDSA | bestTimeToBuyAndSellStock.py | bestTimeToBuyAndSellStock.py | py | 513 | python | en | code | 0 | github-code | 50 |
42243745118 | import sys
from itertools import count
from collections import defaultdict
lines = sys.stdin.readlines()
target = lines.pop(-1).strip()
lines.pop(-1)
rep = defaultdict(list)
rev = defaultdict(list)
for line in lines:
f, t = line.strip().split(' => ')
rep[f].append(t)
rev[t].append(f)
dis = set()
def appl... | ShuP1/AoC | src/2015/19.py | 19.py | py | 1,103 | python | en | code | 0 | github-code | 50 |
27991925985 | import numpy as np
import tensorflow.compat.v2 as tf
from tensorflow.compat.v2.experimental import dtensor
from tf_keras import backend
from tf_keras.dtensor import integration_test_utils
from tf_keras.dtensor import layout_map as layout_map_lib
from tf_keras.dtensor import test_util
from tf_keras.optimizers import ad... | keras-team/tf-keras | tf_keras/dtensor/mnist_model_test.py | mnist_model_test.py | py | 3,216 | python | en | code | 28 | github-code | 50 |
38383059729 | import tensorflow as tf
import tensorflow_hub as hub
model_url = "https://tfhub.dev/tensorflow/efficientnet/lite0/feature-vector/2"
IMAGE_SHAPE = (224, 224)
layer = hub.KerasLayer(model_url, input_shape=IMAGE_SHAPE+(3,))
model = tf.keras.Sequential([layer])
import numpy as np
from tensorflow.keras.preprocessing import... | RunhaiLin/jik | change.py | change.py | py | 1,394 | python | en | code | 0 | github-code | 50 |
36114219663 | import mindspore.dataset.vision.c_transforms as CV
import mindspore.dataset.transforms.c_transforms as C
import mindspore.common.dtype as mstype
import mindspore.dataset as ds
def create_dataset(data_path, batch_size=32):
"""
数据处理
Args:
dataset_path (str): 数据路径
batch_size (int): 批量大小
... | littlemou/MindSpore_graduate_pratice | Test5/preprocess.py | preprocess.py | py | 1,248 | python | en | code | 1 | github-code | 50 |
20538425560 | import logging
import _lcms2
import numpy as np
from typing import Union, Any, Tuple
from . import util_lcms
# ------------------------
# setup logger
# ------------------------
log = logging.getLogger(__name__)
def useDebugMode():
"""
sets logging level and creates a stream handler to show full debuggi... | cimatosa/pyColConv | pyColConv/pyColConv.py | pyColConv.py | py | 10,541 | python | en | code | 0 | github-code | 50 |
875036738 | import collections
class ReorganizeString:
"""
Given a string S, check if the letters can be rearranged
so that two characters that are adjacent to each other are not the same.
If possible, output any possible result. If not possible, return the empty string.
Example 1:
Input: S = "aab"
... | DmitryPukhov/pyquiz | pyquiz/leetcode/ReorganizeString.py | ReorganizeString.py | py | 899 | python | en | code | 0 | github-code | 50 |
9633133356 | # -*- coding: utf-8 -*-
"""
Created on Thu May 24 10:28:51 2018
@author: Administrator
将SVG接线图加入通讯中断的状态
"""
import xml.dom.minidom
doc = xml.dom.minidom.parse('D:/35kV主接线图.svg')
def setNewNode(newNode):
for nc in newNode.childNodes:
if nc.nodeType == nc.ELEMENT_NODE:
if nc.nodeName == 'g':... | w8s8y8/pytools | status.py | status.py | py | 2,079 | python | en | code | 0 | github-code | 50 |
22502408130 | import geopandas as gpd
import matplotlib.pyplot as plt
from shapely.geometry import MultiPolygon, Point, Polygon
import datetime
import pandas as pd
import random
NON_WILDFIRE_POINTS_TO_ADD = 3000
def clean_data(gdf: gpd.GeoDataFrame) -> gpd.GeoDataFrame:
# Remove any incomplete rows
df = gdf.d... | danielmtro/ThesisBackup | DataCleaning/datacleaning.py | datacleaning.py | py | 4,826 | python | en | code | 0 | github-code | 50 |
41296300253 | import sys
from os.path import abspath, dirname
import numpy as np
import open3d as o3d
parent_dir = dirname(dirname(dirname(abspath(__file__)))) # type: ignore
if parent_dir not in sys.path: # type: ignore
sys.path.append(parent_dir)
print(parent_dir)
from pcd_algorithm.utils.merge import merge
def visualiz... | sakamo1112/pcd_algorithm | pcd_algorithm/clustering/k_means.py | k_means.py | py | 2,600 | python | en | code | 0 | github-code | 50 |
37770993352 | import requests
import json
apiKey = '37134fea34fc11b5bdc5e82ad894109b3d141674'
url = 'https://api.github.com/repos/datarepresentationstudent/aPrivateOne'
filename = 'repo_out.json'
file = open("pmg_test.txt", 'r')
#json.dump(repoJSON, file, indent=4)
response = requests.put(url, file, auth=('token',apiKey))
#respon... | Pmcg1/dataRepresentation | week06/lab06.02_challenge02.py | lab06.02_challenge02.py | py | 450 | python | en | code | 0 | github-code | 50 |
70732891675 | import os
from os import makedirs
from os.path import isdir, join, exists
import fcntl
from time import sleep, strftime
import sys
import datetime
VERBOSE = False
DEBUG_MODE = False
ROOT_DIR = '/home/gb/logger/bdata'
if DEBUG_MODE:
ROOT_DIR = '.'
class SoundLogger:
def __init__(self, dev_card = 1, sampling_ra... | groundbird/sound_logger | sound_logger.py | sound_logger.py | py | 3,242 | python | en | code | 0 | github-code | 50 |
6528910941 | from userpreferences.models import UserPreference
from .models import Income, IncomeStream
import datetime
def get_user_currency_symbol(request_user):
# get user currency
try:
user_preferences_object = UserPreference.objects.get(user=request_user)
except UserPreference.DoesNotExist:
user_pr... | melvinloh/expenses_project | expenses_project/income/utils.py | utils.py | py | 1,849 | python | en | code | 0 | github-code | 50 |
37737354939 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# author: Olivier Noguès
import logging
from ares.Lib.connectors.files import AresFile
class FilePdf(AresFile.AresFile):
"""
:category: Ares File
:rubric: PY
:type: class
:label: Connector to read a bespoke PDF file.
:dsc:
Connector t... | jeamick/ares-visual | Lib/connectors/files/AresFilePdf.py | AresFilePdf.py | py | 1,645 | python | en | code | 0 | github-code | 50 |
39921209805 | #!C:\Python32\python.exe
__author__ = 'jonathan'
import cgi
from dbsql import *
import json
print("Content-Type: application/json\n")
form = cgi.FieldStorage()
if "id" in form and len(form["id"].value) == 32 and not form["id"].value.count(' '):
q = "SELECT json FROM stored_matches_json WHERE hashed=%(hash)s"
... | sbilstein/twitterjelly | cgi-bin/GetStoredResult.py | GetStoredResult.py | py | 862 | python | en | code | 2 | github-code | 50 |
21644429821 | # %%-- To do:
"""
The sets I have done:
set 11 both n and p.
set 10 both n and p.
set 01 both n and p.
set 00 both n (with k) and p.
"""
# %%-
# %%-- Imports
import pandas as pd
import numpy as np
import seaborn as sn
from sklearn.model_selection import train_test_split, GridSearchCV
import matplotlib.pyplot as plt
f... | sijinwnag/SRH_sklearn_playwithdata | 2_levels_problem/mode2/Et_regression/set11/set11.py | set11.py | py | 20,159 | python | en | code | 0 | github-code | 50 |
5880174517 | def chars_to_bools(chars):
# assert all([c == "0" or c == "1" for c in chars])
return [c == "1" for c in chars] + [False] * (6 - len(chars))
def bools_to_chars(bools):
return ["1" if b else "0" for b in bools]
def draw_outline(term, start_coords, end_coords, title=None, color=None):
if color == None... | aselker/ld48_computer_1 | nano_editor.py | nano_editor.py | py | 6,311 | python | en | code | 5 | github-code | 50 |
34567644548 | __author__ = 'Administrator'
# coding: utf-8
import adbtools
import os
import datetime
import time
def command():
with open('E:/1/monkey.txt') as file:
data = file.readlines()
str = ''.join(data)
file.close()
print(str)
os.popen(str)
def write_result():
format_time = datetime.d... | luoxin0420/study | monkey.py | monkey.py | py | 624 | python | en | code | 0 | github-code | 50 |
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