seq_id string | text string | repo_name string | sub_path string | file_name string | file_ext string | file_size_in_byte int64 | program_lang string | lang string | doc_type string | stars int64 | dataset string | pt string | api list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
30426823111 | import json
from logging import StreamHandler, Formatter, getLogger
import traceback
class FormatterJSON(Formatter):
def format(self, record):
if self.usesTime():
record.asctime = self.formatTime(record, self.datefmt)
j = {
'logLevel': record.levelname,
'process... | n4cl/logging_template | logging/logger.py | logger.py | py | 1,741 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "logging.Formatter",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "traceback.format_exc",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
... |
42901100933 | import requests
import random
from django.shortcuts import get_list_or_404, get_object_or_404
from rest_framework import status
from rest_framework.response import Response
from rest_framework.decorators import api_view, permission_classes
from rest_framework.permissions import IsAuthenticated
from accounts.models im... | JoonHeeSeo/movie_community_webservice | final-pjt-back/movies/views.py | views.py | py | 10,688 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.shortcuts.get_list_or_404",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "models.Movie",
"line_number": 22,
"usage_type": "argument"
},
{
"api_name": "serializers.MovieSerializer",
"line_number": 23,
"usage_type": "call"
},
{
"api... |
36249677865 | # task 1.2.1 from https://stepik.org/course/1547/syllabus
from collections import deque
def is_correct_brackets(cur: str, prev: str) -> bool:
cur_prev_correct_brackets = {
']': '[',
'}': '{',
')': '(',
}
return cur_prev_correct_brackets[cur] == prev
def check(text: str) -> int:
... | alena-bartosh/stepic-courses | data_structures/week_1/brackets_in_text.py | brackets_in_text.py | py | 1,531 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "collections.deque",
"line_number": 16,
"usage_type": "call"
}
] |
3759782492 | import pygame as pg
import random, math
# retuns the max radius for a circle on a point
def max_radius(x, y):
# distance to x borders
max_x = 0
if x > screen_size/2: max_x = screen_size/2-(x-screen_size/2)
else: max_x = x
# distance to y borders
max_y = 0
if y > screen_size/2: max_y = scr... | leschi4banane/Circle-Packing | main.py | main.py | py | 2,129 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "math.hypot",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "math.hypot",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pygame.init",
"line_number": 31,
... |
23167481563 | import binascii
import hashlib
from base64 import b64decode
import requests
from pkcs7 import PKCS7Encoder
from Crypto.Cipher import AES
from Crypto import Random
from Crypto.PublicKey import RSA
from Crypto.Cipher import PKCS1_v1_5
from Crypto.Signature import PKCS1_v1_5 as PKCS_sign
from Crypto.Hash import SHA
MODE... | adrianlzt/vaultier_python_client | vaultier.py | vaultier.py | py | 7,201 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "Crypto.Cipher.AES.MODE_CBC",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "Crypto.Cipher.AES",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "hashlib.new",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "hashlib... |
23431179668 | import json
import requests
import uuid
import json
import urllib3
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
def poster():
url = "https://localhost:9200/uuid_index/_doc"
toAdd = str(uuid.uuid4())
payload = json.dumps({
"value" : toAdd
})
headers = {
'Aut... | Nikzy7/fastapi-test | uuidPoster.py | uuidPoster.py | py | 644 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "urllib3.disable_warnings",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "urllib3.exceptions",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "uuid.uuid4",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "json.dumps"... |
71447347424 | """调试项目"""
from os import environ
from uvicorn import run
if __name__ == "__main__":
# 环境变量
with open(__file__.replace("dev.py", ".env")) as env:
env_t = env.read()
for i in env_t.split("\n"):
key, val = i.split("=")
environ[key] = val
# trace/info/warning/error
... | 303u/bbs | backend/dev.py | dev.py | py | 384 | python | en | code | 10 | github-code | 7 | [
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "uvicorn.run",
"line_number": 15,
"usage_type": "call"
}
] |
38127698763 | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="sciler",
version="0.2.2",
author="Raccoon Serious Games",
author_email="BEP@raccoon.games",
description="Client library for S.C.I.L.E.R.",
long_description=long_description,
long_d... | IssaHanou/BEP_1920_Q2 | cc_library/py_scc/setup.py | setup.py | py | 715 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 15,
"usage_type": "call"
}
] |
72849884702 | import torch
if torch.__version__ >= "1.8":
import torch_npu
import sys
import os
import random
import argparse
import apex
import numpy as np
import torch.backends.cudnn as cudnn
import torchvision.models as models
from models.inception_resnet_v1 import InceptionResnetV1
from models.mtcnn import MTCNN, fixed_image... | Ascend/ModelZoo-PyTorch | PyTorch/built-in/cv/classification/FaceNet_for_PyTorch/fine_tune_new.py | fine_tune_new.py | py | 8,062 | python | en | code | 31 | github-code | 7 | [
{
"api_name": "torch.__version__",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "torchvision.models.__dict__",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "torchvision.models",
"line_number": 22,
"usage_type": "name"
},
{
"api_nam... |
25584664544 | import json, sys
def checkArgs():
if len(sys.argv) != 3:
print("Usage: db_lyricsRebuilder.py [inputfile.json] [outputfile.json]")
else:
return [sys.argv[1], sys.argv[2]]
def callData(inputfile):
try:
inFile = open(inputfile, "r")
inData = json.load(inFile)
inFile.... | saltchang/caten-music | data_app/dataBuilder/db_lyricsRebuilder.py | db_lyricsRebuilder.py | py | 995 | python | en | code | 8 | github-code | 7 | [
{
"api_name": "sys.argv",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 4... |
12506064633 | import re
import xml.dom.minidom
from bs4 import BeautifulSoup
from nltk.tree import *
import nltk.stem as ns
from stanfordcorenlp import StanfordCoreNLP
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.decomposition import LatentDirichletAllocation
from sklearn.model_selection import GridSearc... | nli2code/sf_extactor | sf_extracor.py | sf_extracor.py | py | 6,840 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "nltk.stem.WordNetLemmatizer",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "nltk.stem",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "xml.dom.minidom.dom.minidom.parse",
"line_number": 59,
"usage_type": "call"
},
{
"api_name"... |
11858484845 |
'''
Expenditure On Books :
1996-1997 1997-98
Economis - 5200 Econimics - 8000
Commerce - 10000 Commerce - 14000
Math - 5000 Math - 7000
Language - 6000 Language - 6000 ... | SourinDas2000/Expenditure-on-books | Expenditure On Books.py | Expenditure On Books.py | py | 1,049 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 18,
"usage_type": "name"
},
{
"api_na... |
37628216877 | import pandas as pd
import numpy as np
from tqdm import tqdm
def read_data(path,qid=False):
"""
读取csv文件
:param path:
:param qid: True or False，为False时不保留qid这一行
:return:
"""
data_df = pd.read_csv(path, sep="\t")
# data_df.drop(["qid"], axis=1)
data = np.array(data_df).tolist()
if ... | activemodest/DIAC | result_ensemble.py | result_ensemble.py | py | 3,664 | python | en | code | 35 | github-code | 7 | [
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_nu... |
41615767872 | import numpy as np
import matplotlib.pyplot as plt
import sklearn.datasets
import sklearn.preprocessing
import sklearn.neural_network
import sklearn.model_selection
numeros = sklearn.datasets.load_digits()
imagenes = numeros['images'] # Hay 1797 digitos representados en imagenes 8x8
n_imagenes = len(imagenes)
X = im... | TmsRC/RubioTomas_Ejercicio22 | mlp_digitos.py | mlp_digitos.py | py | 1,934 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sklearn.datasets.datasets.load_digits",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets.datasets",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "sklearn.datasets",
"line_number": 9,
"usage_type": "name"
},
{
... |
16417098813 |
from tkinter import *
from tkinter import ttk
from PIL import Image,ImageTk
import db
from tkinter import messagebox
import validate_inputs
class criminal:
def __init__(self,root):
self.root =root
self.root.geometry("1530x790+100+100")
self.root.title("Criminal Mangement Sys... | mustafaalhm/crime-mangment-system | criminal.py | criminal.py | py | 22,378 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "PIL.Image.open",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "PIL.Image.ANTIALIAS",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image",
"li... |
19464475928 | # -*- coding: utf-8 -*-
import re
from mobile.sniffer.detect import detect_mobile_browser
from mobile.sniffer.utilities import get_user_agent
from zope.publisher.browser import BrowserView
from Products.Five.browser.pagetemplatefile import ViewPageTemplateFile
_mobilePlatforms = r'android|blackberry|ip(hone|od|ad)|pa... | gitesdewallonie/alloch.skin | alloch/skin/browser/store.py | store.py | py | 2,258 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "re.compile",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "re.IGNORECASE",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "zope.publisher.browser.BrowserView",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "Prod... |
13775820007 | from cmath import exp
from pickle import EXT2
import matplotlib.pyplot as plt
import numpy as np
import random
from numpy import random
pd=1/3
pr=1/3
pt=pr+pd
measurements=int(1)
ObservtionProbabilityFactor=float(0.005)
iterations=int(10000000)
TS=int(500)
obsStLoc=[]
obsStHalfRange=[]
obsEtLoc=[]
obsEtHalfRange=[... | tommyleonwood/SERD_MODEL | SERD model Python code/CreatingObservationExpEtvsTau/RandomObservation/RandomPointObservation.py | RandomPointObservation.py | py | 8,891 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.random.random",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 68,
"usage_type": "name"
},
{
"api_name": "numpy.random.random",
"line_number": 135,
"usage_type": "call"
},
{
"api_name": "numpy.random",
... |
42832430669 | from datetime import datetime
from django.http import HttpResponse
from django.shortcuts import redirect, render
from django.utils import timezone
from .models import Player
# Create your views here.
def index(request):
return render(request,"login.html")
def logincheck(request):
if request.method == 'POST':
... | kvssg123/Treasure-Hunt | game/views.py | views.py | py | 6,278 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.shortcuts.render",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "models.Player.objects.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "models.Player.objects",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_n... |
25733650105 | import streamlit as st
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
matplotlib.use('Agg')
import seaborn as sns
def main():
st.title("Plotting with St.Pyplot")
df = pd.read_csv("iris.csv")
st.dataframe(df.head())
# prev method
# df['species'].value_cou... | adityariyadi/learn-streamlit | app_pylot.py | app_pylot.py | py | 926 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "matplotlib.use",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "streamlit.title",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "streamlit.dataframe",
... |
14203863563 | from cryptography.fernet import Fernet
from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives import serialization, hashes
from cryptography.hazmat.primitives.asymmetric import padding
from common import list_files, show_pop_up, PRIVATE_ASYM_KEY_FILENAME, SYM_KEY_FILENAME
import ... | LucasHaug/SegInfo | decrypt.py | decrypt.py | py | 1,766 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cryptography.hazmat.prim... |
12744826335 | #!/usr/bin/python
# __author__ = 'Cody Giles'
# __license__ = "Creative Commons Attribution-ShareAlike 3.0 Unported License"
# __version__ = "1.0"
# __maintainer__ = "Cody Giles"
# __status__ = "Production"
# The first part of the script finds the device's network IP address
# The second part of the script flashes th... | mn1del/rpi_cnc_img | ip_to_lcd/iptolcd.py | iptolcd.py | py | 6,497 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "datetime.date.today",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "subprocess.Popen",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "subprocess.PI... |
7944580664 | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Thu Feb 15 18:22:35 2018
@author: abinaya
"""
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from itertools import groupby, combinations
import networkx as nx
def returnBernoulliTrials(k, p):
uniform_trials= np.random.uniform(s... | mcabinaya/Simulation-Methods-For-Stochastic-Systems | 04-Networking-Part-2/main.py | main.py | py | 1,907 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "numpy.random.uniform",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numpy.copy",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "networkx.Graph",
... |
14881907743 | from django.test import TestCase
from app.models.core import User
from app.models import Landscape, Land, Company, BuildingType, Place
from app.core.services.builders.agent_builder import AgentBuilder
from app.core.services.builders.building_builder import BuildingBuilder
class CompanyAgent(TestCase):
"""This tes... | polowis/virtComp | test/models/company/test_company_agent.py | test_company_agent.py | py | 2,054 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "django.test.TestCase",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "app.models.Landscape",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "app.models.Landscape.objects.create_land",
"line_number": 12,
"usage_type": "call"
},
{
... |
38129589742 | from django.contrib import admin
from django.urls import path, include, re_path
from rest_framework import permissions
from drf_yasg.views import get_schema_view
from drf_yasg import openapi
schema_view = get_schema_view(
openapi.Info(
title="Employee Management System",
default_version='v1',
... | thierryKeller-1/EmployeManagementSystem | backend/core/urls.py | urls.py | py | 1,014 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "drf_yasg.views.get_schema_view",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "drf_yasg.openapi.Info",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "drf_yasg.openapi",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "dr... |
4822152316 | import requests
from bs4 import BeautifulSoup
from duckduckgo_search import ddg
from csv import writer
def get_phish_data(count: int):
response = requests.get('https://openphish.com/')
soup = BeautifulSoup(response.text, 'lxml')
phish_rows = soup.find('tbody').find_all('tr')
phish_data = []
for i... | Nick-1912/PhishHunter | main.py | main.py | py | 3,293 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "duckduckgo_search.ddg",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "requests.get",
... |
33754043818 | #coding=utf-8
from email.mime import image
from glob import glob
from logging import exception
from pycqBot.cqApi import cqHttpApi, cqLog
from pycqBot.cqCode import at, image
from lor_deckcodes import LoRDeck, CardCodeAndCount
import csv
import json
import urllib
from unicodedata import name
from urllib.requ... | yx5932/LoR_QQ_Bot | og.py | og.py | py | 17,251 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "json.load",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "jsonpath.jsonpath",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "jsonpath.jsonpath",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "jsonpath.jsonpath",
... |
43370027107 | from matplotlib import rc
rc('text', usetex=True)
import numpy as np
import pylab as plt
# Load channel-dependent limits on the cross section
infile = 'limits_bb.txt'
data = np.loadtxt(infile,unpack=True)
mass = data[0]
# Plot the limits for specific targets
# Draco = 9, Segue 1 = 19, Combined = 26
targets = [ (... | oscar-macias/Fermi_GC_limits | release-01-00-00/example1.py | example1.py | py | 671 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "matplotlib.rc",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pylab.loglog",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pylab.xlabel",
"line_numbe... |
73464667744 | import time
import re
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from datetime import date
path = "C:/Users/b4ki/chromedriver.exe"
driver = webdriver.Chrome(path)
# waiting until the whole page is loaded
driver.implicitly_wait(5)
driver.get("https://blackclover.wbijam.pl/")
def ch... | b4kii/wbijam | main.py | main.py | py | 2,625 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "datetime.date.today",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "dateti... |
32970196585 | from django.urls import include, path
from rest_framework.authtoken.views import obtain_auth_token
from .views import *
# Site
from .views import horeca, people, events
app_name = 'oborona'
urlpatterns = [
path('participantcreate/', ParticipantCreate.as_view(), name='create-participant'),
path('participa... | Zimus-a/VKR | scripts/main/oborona_taganroga/urls.py | urls.py | py | 2,930 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.urls.path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.urls.path",... |
3490812133 | import datetime
import dateutil
import iso8601
import hashlib
import logging
def sizeof_fmt(num):
"""
>>> sizeof_fmt(1024)
'1 KB'
"""
for x in ['bytes','KB','MB','GB']:
if num < 1024.0:
return "%3.1f %s" % (num, x)
num /= 1024.0
return "%3.1f %s" % (num, 'TB')
def f... | priestc/LibraryDSS | ldss/models/utils.py | utils.py | py | 3,302 | python | en | code | 5 | github-code | 7 | [
{
"api_name": "datetime.datetime",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "iso8601.parse_d... |
1716141071 | #!/usr/bin/env python
# -*- coding: latin-1 -*-
''' Prepare a summary for different datatypes for ENCODE3
'''
import os.path
import argparse
import encodedcc
from encodedcc import get_ENCODE
EPILOG = '''
The output of this program is for consumption by a googlesheet.
'''
def getArgs():
parser = argparse.Argument... | T2DREAM/pyencoded-tools | ENCODE_status_summary.py | ENCODE_status_summary.py | py | 15,820 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "argparse.RawDescriptionHelpFormatter",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.path.path.expanduser",
"line_number": 29,
"usage_type": "call"
},
... |
13575592635 | import datetime
from dateutil.parser import parse
from urllib.parse import unquote
from get_mongo_client import get_mongo_client
cli = get_mongo_client()
c = cli.kinpri_goods_wiki.items
for i in c.find({'date': {'$gte': parse('2015-1-1')}}).sort('date'):
if i['date_extra']:
date = i['date'].strftime('%m月{... | sakuramochi0/kinpri-goods-wiki | print_release_date_list.py | print_release_date_list.py | py | 637 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "get_mongo_client.get_mongo_client",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "dateutil.parser.parse",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "urllib.parse.unquote",
"line_number": 15,
"usage_type": "call"
}
] |
7179135790 | from config import keys
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.action_chains import ActionChains
from selenium.common.exceptions imp... | rednave12/depopmate | Previous Versions/test.py | test.py | py | 6,015 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.action_chains.ActionChains",
"line_number": 16,
"usage_type": "cal... |
27497762865 | import datetime
from django import forms
from django.core.exceptions import ValidationError
import pytz
from .models import *
class DateInput(forms.DateInput):
input_type = 'date'
class TimeInput(forms.TimeInput):
input_type = 'time'
utc=pytz.UTC
class AvailabilitiesForm(forms.ModelForm):
start_hour = form... | plume210/giskar | A_and_R/forms.py | forms.py | py | 1,925 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.forms.DateInput",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.forms.TimeInput",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "dja... |
21736256303 | import torch.nn as nn
# local modules
from model.submodules import ResidualBlock, ConvLayer, RecurrentConvLayer, RecurrentResidualLayer
class BaseUNet(nn.Module):
def __init__(self, num_input_channels, num_output_channels=1, skip_type='sum',
num_encoders=4, base_num_channels=32, num_residual_blo... | ercanburak/EVREAL | model/legacy.py | legacy.py | py | 7,511 | python | en | code | 12 | github-code | 7 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "model.submodules.RecurrentConvLayer",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "torch... |
33983689063 | from django.conf.urls import url, include
from extforms import views
urlpatterns = [
url(r'^swc/request/$', views.SWCEventRequest.as_view(), name='swc_workshop_request'),
url(r'^swc/request/confirm/$', views.SWCEventRequestConfirm.as_view(), name='swc_workshop_request_confirm'),
url(r'^dc/request/$', view... | gridl/amy | extforms/urls.py | urls.py | py | 1,429 | python | en | code | null | github-code | 7 | [
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "extforms.views.SWCEventRequest.as_view",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "extforms.views.SWCEventRequest",
"line_number": 6,
"usage_type": "attribute"
... |
29316759640 | import sys
import cStringIO
import json
import zipfile
import os
from M2Crypto import X509
from spacewalk.satellite_tools.syncLib import log2
from spacewalk.server.rhnServer.satellite_cert import SatelliteCert
import constants
class Manifest(object):
"""Class containing relevant data from RHSM manifest."""
... | spacewalkproject/spacewalk | backend/cdn_tools/manifest.py | manifest.py | py | 13,008 | python | en | code | 640 | github-code | 7 | [
{
"api_name": "os.path.abspath",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "os.path.expanduser",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "zipfile.ZipFile",
... |
7563924149 | """
Individual Assignment1_part1 - Computer Vision
Student: Antonios Glioumpas
Part1:
- Color / Grayscale Conversion
- Gaussian Filtering
- Bilateral Filtering
- Grab object in RBG / HSV
- Erosion / Dilation
- Color Mask
To run the Assignment1_part1.py script
shell script:
$ python Assignment1_part1.... | TonyGlioumpas/Computer_Vision_Projects | Image_processing_and_object_detection/Part1.py | Part1.py | py | 7,753 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "cv2.CAP_PROP_POS_MSEC",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "cv2.VideoWriter_fourcc",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "cv... |
30321471951 | import unittest
from common.fibonacci import fibonacci
import n2w
# Really struggled to create my own function so I had to import n2w
class challenge4(unittest.TestCase):
def test_challenge4(self):
i = 3
while i < 20:
num = fibonacci(i)
print(str(num), " - ", (n2w.conve... | smack1n/stdSling | challenge4/challenge4.py | challenge4.py | py | 398 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "unittest.TestCase",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "common.fibonacci.fibonacci",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "n2w.convert",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "unittest... |
40757109118 | import tweepy
import json
import secrets
from kafka.producer import KafkaProducer
# Twitter API authentication
bearer_token = secrets.bearer_token
# Create an OAuth2 user handler using the bearer token
auth = tweepy.OAuth2BearerHandler(bearer_token)
# Create the Twitter API client
api = tweepy.API(auth)
# Kafka pr... | Kritigeorgian/BDAT1002 | producer.py | producer.py | py | 1,154 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "secrets.bearer_token",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "tweepy.OAuth2BearerHandler",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tweepy.API",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "kafka.... |
18721035302 | ## deque
from collections import deque
listtt =[8, 4, 56, 34, 2]
Q=deque(listtt)
Q.pop() # 뒤에서 요소를 뺌 (2가 빠지겠지?)
Q.popleft() # 앞에서 요소를 뺌 ( 8이 빠지겠지?)
Q.append(53) # 뒤에 53을 추가
Q.appendleft(535) # 앞에 535를 추가
print(Q)
print(list(Q)) # list 형으로 변환
#####dictionry
# list5= ["red", "blue", "green", "yellow"]
# D= dict(enume... | JaeBumPark/code-test | thisis/etcalgo/collectionsss.py | collectionsss.py | py | 766 | python | ko | code | 0 | github-code | 7 | [
{
"api_name": "collections.deque",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 24,
"usage_type": "call"
}
] |
28487841665 | """Initialize models."""
from keras.utils import plot_model
from .encoders import get_model
from .decoders import regular, simple101, resnet
def build(encoder_type, decoder_type,
freeze_encoder=False,
use_dropout=False,
n_filters=512,
activation='elu',
use_batchnorm=F... | Dammi87/tgs_keras | solution/estimator/models/__init__.py | __init__.py | py | 2,223 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "encoders.get_model",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "decoders.regular",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "decoders.simple101",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "decoders.resne... |
73882911264 | from cassandra.cluster import Cluster
from cassandra.auth import PlainTextAuthProvider
import uuid
user_credentials=PlainTextAuthProvider(username='superapple',password='fact@123')
conn=Cluster(['127.0.0.1'],port=9042,auth_provider=user_credentials)
try:
cur=conn.connect(keyspace='suman')
id='a75ad251-8174-11... | EunbiYoon/cassandra | python_updatetable.py | python_updatetable.py | py | 697 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "cassandra.auth.PlainTextAuthProvider",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cassandra.cluster.Cluster",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "uuid.UUID",
"line_number": 11,
"usage_type": "call"
}
] |
74826817822 | #2 Loading Data in pandas
# Selecting columns
# Select the column item from credit_records
# Use dot notation
items = ____
# Display the results
print(items)
# Select the column item from credit_records
# Use dot notation
items = credit_records.item
# Display the results
print(items)
# One or more ... | h2oDOGGY/python_datacamp | Introduction to Data Science in Python.py | Introduction to Data Science in Python.py | py | 6,794 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 81,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "matpl... |
41631087364 | from pathlib import Path
p = Path(__file__).with_name('d2.txt')
MAXES = {
'red': 12,
'green': 13,
'blue': 14
}
def validate_game(game: str) -> int:
gametag, draws = game.split(': ')
_, game_id = gametag.split()
for draw in draws.split(';'):
if not possible(draw):
return 0
... | machallboyd/adventofcode | 2023/d2.py | d2.py | py | 649 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pathlib.Path",
"line_number": 3,
"usage_type": "call"
}
] |
71543760864 | from django.conf.urls import url
from itkufs.accounting.views.edit import (
new_edit_settlement,
new_edit_transaction,
approve_transactions,
reject_transactions,
transfer,
)
from itkufs.accounting.views.display import (
SettlementDetails,
SettlementList,
TransactionDetails,
Transact... | itkinside/ufs | itkufs/accounting/urls.py | urls.py | py | 3,519 | python | en | code | 9 | github-code | 7 | [
{
"api_name": "django.conf.urls.url",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "itkufs.accounting.views.display.SettlementDetails.as_view",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "itkufs.accounting.views.display.SettlementDetails",
"line_numb... |
16259526593 | """
This scripts contains the PayoffMatrix
"""
from typing import Optional
import numpy as np
class PayoffMatrix:
"""
A class of 2 by 2 payoff matrices.
Currently include the following games:
The staghunt game: 'staghunt',
The matching pennies game (coop and competive): 'penny_competive', 'penny_... | KennethEnevoldsen/tomsup | tomsup/payoffmatrix.py | payoffmatrix.py | py | 6,578 | python | en | code | 58 | github-code | 7 | [
{
"api_name": "typing.Optional",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_... |
42272248867 | import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
def medianFilter(image):
rows, columns = image.size
m_image = np.array(image, dtype=np.uint8)
for row in range(rows):
for col in range(columns):
if m_image[row, col] == np.uint8(0):
wi... | kennethGHS/PAID_C_and_H | Catalog 1/InterpolationAndGeometricalOperations/TAL/Rotation.py | Rotation.py | py | 2,649 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.array",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "numpy.uint8",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.squeeze",
"line_numb... |
9219815425 | from django import forms
from app_jobs.models import City, Language
from .models import User
class ProfileChangeForm(forms.ModelForm):
"""Форма для личного кабинета"""
username = forms.CharField(widget=forms.TextInput(attrs={
'class': 'form-control'}), label='Имя пользователя')
email = forms.Em... | romaha57/django_parser | jobs_site/app_users/forms.py | forms.py | py | 1,210 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.forms.CharField",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.... |
14311070769 | from typing import List
from typing import Optional
from typing import Text
class CardType:
def __init__(self, num=None, special=None):
self.num = num
self.special = special
assert self.num or self.special
def number_value(self) -> Optional[int]:
# The number value of this card.
# Returns None if the card... | ebold123/cataract | app/card.py | card.py | py | 918 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "typing.Optional",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.Text",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_n... |
11947698637 |
from django.urls import path, include
from .views import *
urlpatterns = [
path('',index, name='index'),
path('hackerlist',hacker_list, name='hackerlist'),
path('hackerdetail',user_detail, name='userdetail'),
path('voted',vote, name='vote')
]
| amanjhurani/hackerpolling | polling/urls.py | urls.py | py | 261 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
26387470749 | #coding=utf-8
from __future__ import print_function
from __future__ import division
import cv2
import tensorflow as tf
import numpy as np
import os
import colorsys
import config
from yolov3 import yolov3_body
from yolov3 import yolo_eval
from utils.get_anchors import get_anchors
flags = tf.app.flags
FLAGS = flags.... | zhulf0804/Yolov3-Tensorflow | detect.py | detect.py | py | 4,311 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "tensorflow.app",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "config._coco_tf_weights",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "config._coco_names",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name... |
72979502622 | # source: https://platform.openai.com/docs/api-reference/introduction
from pprint import pprint
import requests
from typing import Union, List
import aiohttp
import asyncio
from .config import ChatCompletionConfig
from ._return import BaseReturn,AsyncReturn
from openai.error import InvalidRequestError
class ChatGPT:
... | leoxiang66/requests-toolkit | requests_toolkit/openpy/_openai.py | _openai.py | py | 6,163 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pprint.pprint",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "config.ChatCompletionConfig",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "config.ChatCompletionConfig",
"line_number": 96,
"usage_type": "name"
},
{
"api_name": ... |
25747904416 | import get_stock
import pandas as pd
from xlsxwriter import Workbook
from datetime import datetime,date
import seaborn as sns
import matplotlib.pyplot as plt
from matplotlib.dates import DayLocator, HourLocator, DateFormatter, drange
def main():
start = datetime(2021,3,1)
end = date.today()
stock = '7203... | Eishiro/stock_price | main.py | main.py | py | 1,120 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "datetime.datetime",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.date.today",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "get_stock.company... |
20705757603 | import os
from wand.image import Image
from shutil import copyfile
import glob
import pdb
import logging
modulate_presets_1 = { (-100, -200): 'dark'}
modulate_presets_2 = { (200, 300): 'default', (-1000, -1000): 'galaxy', (200, -800): 'flir'}
cwd = './defaults_test/'
def mkgif(filename):
outfiles = ['testing_ov... | etcadinfinitum/DiscordDeepPhryer | extra/testing_overlay.py | testing_overlay.py | py | 3,573 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "logging.info",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number":... |
17457916306 | import torch
import torchvision
from ssd.container import Container
import numpy as np
class PostProcessor:
def __init__(self, cfg):
super().__init__()
self.cfg = cfg
self.width = cfg.INPUT.IMAGE_SIZE[1]
self.height = cfg.INPUT.IMAGE_SIZE[0]
def __call__(self, detections):
... | mariusud/road-damage-detection | SSD/ssd/modeling/box_head/inference.py | inference.py | py | 6,295 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "torch.arange",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "torch.nonzero",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "ssd.container.Container",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "torch.empty",
... |
19502480307 | """
Created on 2022/8/8
This file was
Images are divided by inner radii and outer radii
A HoughCircles algorithm is run to obtain outer radii from the droplets
A Canny Edge Detection algorithm is run to obtain the inner radii from the condensates
Once these radii are obtained, each condensate is matched with its res... | mbborja/llpsAnalysis | LLPSProject.py | LLPSProject.py | py | 5,825 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "glob.glob",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "skimage.io.imread",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "skimage.io",
"line_n... |
6146495897 | import pygame
from pygame.locals import *
# physics
def CollisionTest(Object1,ObjectList):
CollisionList = []
for Object in ObjectList:
if Object.colliderect(Object1):
CollisionList.append(Object)
return CollisionList
class PhysicsObject(object):
def __init__(self,x,y,x_size,y... | bedevil001/Bedevil-Adventure-Game | character/Migo adventure/idle/idle-1/entities.py | entities.py | py | 5,361 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "pygame.Rect",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pygame.draw.rect",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "pygame.draw",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "pygame.transform.flip",... |
18168396415 | import threading
import zmq
from msgpack_numpy import dumps as dump
from msgpack_numpy import loads as load
from tornado.concurrent import Future
from six.moves import queue
import time
import random
import os
from tqdm import tqdm
from queue import Queue
from intelActNet import Network
from config import config
from ... | guotata1996/IntelAct-Paper-Reproduce | base_optimizer.py | base_optimizer.py | py | 3,813 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "threading.Thread",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "config.config.ip_addr",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "config.config",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "zmq.Co... |
35753620350 | """
Insert the reviews file into the DB.
"""
from tqdm import tqdm
from cmt_statistics_tool.helper import fillna_strs, get_or_add, read_original_revision
from cmt_statistics_tool.tables import RevisionReview, SubmissionReview, async_session
async def insert_reviews(file: str) -> None:
original, revision = read_o... | HPI-Information-Systems/cmt_statistics_tool | cmt_statistics_tool/insert/reviews.py | reviews.py | py | 8,058 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "cmt_statistics_tool.helper.read_original_revision",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cmt_statistics_tool.helper.fillna_strs",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cmt_statistics_tool.helper.fillna_strs",
"line_numbe... |
32612292145 | import json
import random
import boto3
import time
topic = ""
region = ""
endpoint = ""
iot = boto3.client('iot-data', region_name=region,
endpoint_url=endpoint)
def lambda_handler(event, context):
data = {
"timestamp": time.time(),
"temperature": random.uniform(0.0, 100.0),
... | Ahsan0001/cloud_workshop | lambda_code.py | lambda_code.py | py | 829 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "boto3.client",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "random.uniform",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "random.uniform",
"line_numb... |
36965147865 | # ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.13.8
# kernelspec:
# display_name: Python 3 (ipykernel)
# language: python
# name: python3
# ---
# # Supplementary Video 2
# +
import jobl... | AdaptiveMotorControlLab/cebra-figures | src/prepare/prepare_supplementary_video_2.py | prepare_supplementary_video_2.py | py | 6,660 | python | en | code | 13 | github-code | 7 | [
{
"api_name": "joblib.load",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "scipy.interpolate.make_interp_spline",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "numpy.a... |
23412718102 | import os
import sys
import logging
import subprocess
from pathlib import Path
from ioco import util
this = sys.modules[__name__]
this.part = None
this.fs_type = None
this.config = None
def main(config):
this.config = config
if this.config.get("block"):
timing_key = "oci block"
util.start_timi... | psadmin-io/ioco | ioco/oci.py | oci.py | py | 3,164 | python | en | code | 5 | github-code | 7 | [
{
"api_name": "sys.modules",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "ioco.util.start_timing",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "ioco.util",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "logging.debug",
... |
22342953468 | from ...data import EntityBase
class ConfigParameterBase(EntityBase):
def __init__(self,
Name: str = None,
Type: str = None,
Value: str = None,
Description: str = None,
*args, **kwargs):
super().__init__(*args, **kwargs)... | fmuyilmaz/pdip | pdip/configuration/services/config_parameter_base.py | config_parameter_base.py | py | 457 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "data.EntityBase",
"line_number": 4,
"usage_type": "name"
}
] |
24559903667 | import logging
from typing import Any, Dict, List, Mapping, Optional
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
from langchain_core.pydantic_v1 import Extra, Field, SecretStr, root_validator
from langchain_core.utils import convert_to_secret_str, g... | langchain-ai/langchain | libs/community/langchain_community/llms/gooseai.py | gooseai.py | py | 5,301 | python | en | code | 68,990 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "langchain_core.language_models.llms.LLM",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "t... |
71257730783 | import numpy as np
from fastai.text import SortSampler, SortishSampler
def test_sort_sampler_sorts_all_descending():
bs = 4
n = bs*100
data = 2 * np.arange(n)
samp = list(SortSampler(data, lambda i: data[i]))
# The sample is a permutation of the indices.
assert sorted(samp) == list(range(n))... | hamelsmu/code_search | fastai/tests/test_samplers.py | test_samplers.py | py | 937 | python | en | code | 483 | github-code | 7 | [
{
"api_name": "numpy.arange",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "fastai.text.SortSampler",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "fastai.text.SortishS... |
7553209881 | import gobject, gtk, pango
from plugin.Interface import Interface
from utils.HIGDialog import HIGDialog
#
# Dialog for inspecting controls.
#
class ControlInspector(HIGDialog):
def __init__(self, ctrlclass):
HIGDialog.__init__(self, buttons=(gtk.STOCK_CLOSE, gtk.RESPONSE_CLOSE))
name = ctrlclas... | RaumZeit/gdesklets-core | shell/plugins/ControlBrowser/ControlInspector.py | ControlInspector.py | py | 3,268 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "utils.HIGDialog.HIGDialog",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "utils.HIGDialog.HIGDialog.__init__",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "utils.HIGDialog.HIGDialog",
"line_number": 14,
"usage_type": "name"
},
{... |
34980909864 | import torchvision
from torchvision.models.detection.faster_rcnn import FastRCNNPredictor
import torch
def load_fasterRCNN(max_size, min_size, num_classes, device):
model = torchvision.models.detection.fasterrcnn_resnet50_fpn(weights="DEFAULT", max_size=max_size, min_size=min_size)
in_features = model.roi_heads.bo... | zklaw/pills-detection | model.py | model.py | py | 942 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "torchvision.models.detection.fasterrcnn_resnet50_fpn",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torchvision.models",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torchvision.models.detection.faster_rcnn.FastRCNNPredictor",
"line... |
74209845662 | """
Example of "constant expression" propagation.
A "constant expression" is an expression based on constants or init regs.
"""
from argparse import ArgumentParser
from miasm.analysis.machine import Machine
from miasm.analysis.binary import Container
from miasm.analysis.cst_propag import propagate_cst_expr
from mias... | cea-sec/miasm | example/expression/constant_propagation.py | constant_propagation.py | py | 1,746 | python | en | code | 3,204 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "miasm.analysis.machine.Machine",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "miasm.core.locationdb.LocationDB",
"line_number": 30,
"usage_type": "call"
},
... |
42872191554 | # -*- coding: utf-8 -*-
"""
Created on Thu May 9 19:12:25 2019
@author: zsl
"""
from math import log
import operator
import treePlotter
from sklearn.datasets import load_iris
import numpy as np
import pandas as pd
def calEntropy(dataset):
'''
计算熵
'''
data_dic ={}
total = len(d... | foolfun/Algorithm | 02_CART/CART.py | CART.py | py | 5,936 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "math.log",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "operator.itemgetter",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets.load_iris",
"line_number": 130,
"usage_type": "call"
},
{
"api_name": "pandas.cut",... |
10383033296 | from Bio import SeqIO
import pandas as pd
import multiprocessing
import numpy as np
# Translates the DNA sequence into AA sequence
# USearch v11 was used to merge and filter deep sequence reads.
# The zotus and otutab files are .txt files generated from USearch analysis.
# Outfile is a pklfile with DNA and AA sequen... | HackelLab-UMN/PriSM-Inhibition-and-Seq-Analysis | Deep Sequence Analysis/merge_zotu_and_otutab.py | merge_zotu_and_otutab.py | py | 3,405 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "multiprocessing.cpu_count",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Pool",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "Bio.SeqIO.parse",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "Bio.Se... |
72961049183 | import unittest
import numpy as np
from torch_geometric.data import Data, InMemoryDataset, DataLoader
from clique_finding_models.output_transforms import *
GRAPHS = [
# A house graph.
Data(
x=torch.ones([5, 1]),
edge_index=torch.tensor([
[0, 0, 1, 1, 1, 2, 2, 3, 1, 2, 2, 3, 4, 3, ... | maaario/mcp-gnns | clique_finding_models/output_transforms_test.py | output_transforms_test.py | py | 3,881 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "torch_geometric.data.Data",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch_geometric.data.Data",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch_geometric.data.Data.from_dict",
"line_number": 29,
"usage_type": "call"
},
... |
5545563261 |
from datetime import datetime
import fs.s3fs
myfs = fs.s3fs.S3FS('wantsomedashboards','logfiles',os.environ['AWS_WSDS3_KEY'], os.environ['AWS_WSDS3_SECRET'])
# db.define_table('page_visit_count',
# Field('page_name'),
# Field('counter', 'integer'),
# )
db.define_table('page_visit_data',
Field('page_name'),
Fie... | wantsomechocolate/WantsomeDashboards | applications/dashboard/models/tables.py | tables.py | py | 4,142 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "fs.s3fs.s3fs.S3FS",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "fs.s3fs.s3fs",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "fs.s3fs",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
... |
10582469841 | import common
import re
lines = common.get_lines("day7_data.txt")
bags = {}
for line in lines:
colour = re.match(r".*(?= bags contain)", line)[0]
bags[colour] = re.findall(r"(\d+?) (.+?) bags?", line)
def has_shiny(colour: str):
if colour == "shiny gold":
return True
else:
... | 3schwartz/AdventOfCode | year2020/day7.py | day7.py | py | 700 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "common.get_lines",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 10,
"usage_type": "call"
}
] |
20309695447 | import random as rnd
import numpy as np
import math
import matplotlib.pyplot as plt
import Demode as de
import Symbol as sym
import timeit
# import tensorflow as tf
# real = tf.constant(2.25)
# imag = tf.constant(3.25)
# tf.dtypes.complex(real, imag)
QAM = 4
Count_Total = 1
symbol_num = 1000
SNR = 15
symbol = []
SER ... | JJinTae/Kmeans_Clustering_Python | QPSK_Kmeans/QPSK_SER.py | QPSK_SER.py | py | 3,554 | python | ko | code | 0 | github-code | 7 | [
{
"api_name": "numpy.zeros",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "Symbol.Gensymbol",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "Demode.Demode",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "Symbol.Addnoise",
"lin... |
24017255201 | import copy
import json
import pytest
from spatialdata.transformations.ngff.ngff_coordinate_system import (
NgffAxis,
NgffCoordinateSystem,
)
input_dict = {
"name": "volume_micrometers",
"axes": [
{"name": "x", "type": "space", "unit": "micrometer"},
{"name": "y", "type": "space", "uni... | scverse/spatialdata | tests/transformations/ngff/test_ngff_coordinate_system.py | test_ngff_coordinate_system.py | py | 5,755 | python | en | code | 113 | github-code | 7 | [
{
"api_name": "spatialdata.transformations.ngff.ngff_coordinate_system.NgffCoordinateSystem.from_dict",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "spatialdata.transformations.ngff.ngff_coordinate_system.NgffCoordinateSystem",
"line_number": 21,
"usage_type": "name"
},
... |
70938866145 | import yaml
import os
import numpy as np
import ruamel.yaml
def load_conf(path: str) -> yaml:
"""
The goal of this function is to load the
params
Arguments:
-path: str The path of configuration file to be loaded
Returns:
-file: yaml file The configuration file loaded
"""
w... | HippolyteGuigon/Kmeans_Implementation | KMeans/confs/confs.py | confs.py | py | 2,368 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "yaml.safe_load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6... |
75027635103 | from flask import Flask
import socket
app = Flask(__name__)
@app.route("/")
def hello():
hostname = socket.gethostname()
return f"Hello from {hostname}"
if __name__ == "__main__":
app.run(host='0.0.0.0', port=8080)
| MasonEgger-Demos/python-k8s-demo-app | main.py | main.py | py | 230 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "socket.gethostname",
"line_number": 8,
"usage_type": "call"
}
] |
560861385 | import sys
import logging
FORMAT = ('%(asctime)-15s %(threadName)-15s'
' %(levelname)-8s %(module)-15s:%(lineno)-8s %(message)s')
logging.basicConfig(format=FORMAT)
log = logging.getLogger()
log.setLevel(logging.DEBUG)
#log.setLevel(logging.WARNING)
#log.setLevel(logging.INFO)
from modbus_sniffer import Seria... | snhobbs/ModbusSniffer | bin/modbus_sniffer.py | modbus_sniffer.py | py | 875 | python | en | code | 18 | github-code | 7 | [
{
"api_name": "logging.basicConfig",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
... |
13837445218 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.metrics import accuracy_score
from sklearn.linear_model import LinearRegression
from sklearn.linear_model import LogisticRegression
from sklearn.ensemble import RandomForestClassifier
from sklearn.neighbors import KNeighborsClassifier
... | jainanshul3863/Iris-Data_analysis | iris.py | iris.py | py | 1,461 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sklearn.datasets.load_iris",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "pandas.DataFrame",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sklearn.... |
9122308308 | # -*- coding: utf-8 -*-
from django.conf import settings
from django.contrib.auth import get_user_model
from django.core.management.base import BaseCommand, CommandError
from guardian.utils import get_anonymous_user
User = get_user_model()
class Command(BaseCommand):
help = "Set the user profile settings of ev... | catmaid/CATMAID | django/applications/catmaid/management/commands/catmaid_set_user_profiles_to_default.py | catmaid_set_user_profiles_to_default.py | py | 1,535 | python | en | code | 178 | github-code | 7 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "guardian.utils.get_anonymous_user",
"line_number": 22,
"usage_t... |
30971580539 | from datetime import timedelta
GENESIS_REWARD = 1000
""" The reward that is available for the first `REWARD_HALF_LIFE` blocks, starting with the genesis block. """
REWARD_HALF_LIFE = 10000
""" The number of blocks until the block reward is halved. """
BLOCK_REQUEST_RETRY_INTERVAL = timedelta(seconds=30)
""" The appr... | ChaAC-FAU/labchain | src/config.py | config.py | py | 1,021 | python | en | code | 11 | github-code | 7 | [
{
"api_name": "datetime.timedelta",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 25,
"usage_type": "call"
}
] |
38440900753 | import gradio as gr
from transformers import pipeline
fill_mask = pipeline("fill-mask", model="./QuijoBERT", tokenizer = './QuijoBERT')
def predict(text):
res_dict = {}
x = fill_mask(text)
print('x')
for i in range(len(x)):
k = x[i]['sequence']
e = x[i]['score']
print(k, ... | ASR01/QuijoBERT | app.py | app.py | py | 764 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "transformers.pipeline",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "gradio.Interface",
"line_number": 25,
"usage_type": "call"
}
] |
43346252886 | import json
import pickle
import numpy as np
# Variable:
df_columns = None
locations = None
model = None
# Price Predict funtion:
def Price_Predict(locationOut, SqFt, Bath, Bed):
locationsIn = locationOut.lower()
location_index = df_columns.index(locationsIn)
SqFt = float(SqFt)
Bath = int(Bath)
B... | Version-Max/Project_House_Price_Prediction_A | utilities.py | utilities.py | py | 1,907 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.zeros",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 76,
"usage_type": "call"
}
] |
38419014913 | import asyncio
import uvloop
import aiowebsockets
async def connect_client():
async with aiowebsockets.Connect('ws://localhost:2053') as context:
context.send(b'{"The":"Quick","Brown":"Fox","Jumped":"Over","The":"Lazy","Dog":"."}')
async for message in context:
context.sen... | SkylarFlare/aiowebsockets | benchmark/client.py | client.py | py | 560 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "aiowebsockets.Connect",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "asyncio.set_event_loop_policy",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "uvloop.EventLoopPolicy",
"line_number": 16,
"usage_type": "call"
},
{
"api_nam... |
26848178971 | import torch.nn as nn
import torchaudio
import torch.autograd.variable
import numpy as np
from torch.autograd.variable import *
from utils.stft_istft import STFT
class NET_Wrapper(nn.Module):
def __init__(self,win_len,win_offset):
super(NET_Wrapper, self).__init__()
self.win_len = win_len
... | ZhaoF-i/freshmen_challenge | networks/TCN.py | TCN.py | py | 3,650 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "torch.nn.Module",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "utils.stft_istft.STFT",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.nn.ModuleLi... |
9578959963 | from pyspark import SparkContext,SparkConf,SparkFiles
from pyspark.sql import SparkSession
from datetime import datetime
UTC_FORMAT = "%Y-%m-%dT%H:%M:%S.%fZ"
from fmm import Network,NetworkGraph,STMATCH,STMATCHConfig
#network = Network("../data/edges.shp")
import os
import utm
os.environ["PYSPARK_PYTHON"]='/roo... | sequelOoO/-gps- | main.py | main.py | py | 3,788 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.da... |
11286311088 | from numba import jit, f8, i2
import numpy as np
@jit(f8[:](f8[:], f8, i2[:]))
def _proximal_operator(coef, threshold, group_ids):
"""
Proximal operator.
"""
result = np.zeros_like(coef).astype(np.float64)
unique_group_ids = np.unique(group_ids)
for group_id in unique_group_ids:
target... | AnchorBlues/GroupLasso | grouplasso/_numba.py | _numba.py | py | 868 | python | en | code | 13 | github-code | 7 | [
{
"api_name": "numpy.zeros_like",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.float64",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.unique",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.norm",
... |
10967615971 | from functools import reduce as R
import sys,math
input=sys.stdin.readline
U=lambda:map(int,input().split())
Q=lambda a:(a>0)-(a<0)
T=lambda p,q,r:Q((q[0]-p[0])*(r[1]-p[1])-(r[0]-p[0])*(q[1]-p[1]))
def L(H,r):
while len(H)>1 and T(H[-2],H[-1],r)<1:H.pop()
if not len(H) or H[-1]!=r:H.append(r)
return H
def c... | Wanderkind/BOJ | 10903.py | 10903.py | py | 532 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "sys.stdin",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "functools.reduce",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "math.dist",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number":... |
20115060499 | import argparse
import csv
import wnhier
import wnNounSim
import wnSemSim
def handle_csv(file):
"""
Handles csv files by parsing them into a list.
Requires the delimiter to be a semi-colon.
Params:
file: a csv filename
Returns:
a list with the csv file contents
"""
with ope... | oskarbyman/NLP_semantic_similarity | main.py | main.py | py | 3,967 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "csv.reader",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "wnhier.Sim",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "wnNounSim.Similarity",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "wnSemSim.Similarity",
... |
23509695243 | import streamlit as st
from streamlit import session_state as s_state
from pathlib import Path
from tools.io import logo_load, load_databases
from tools.workflow import sidebar_widgets, user_logging
text_format = 'style="font-size: 25px;"'
nirspec_link = '<a href="https://jwst-docs.stsci.edu/jwst-near-infrared-spectr... | Vital-Fernandez/ceers-data | CEERs_data.py | CEERs_data.py | py | 3,711 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "tools.workflow.user_logging",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "streamlit.session_state",
"line_number": 42,
"usage_type": "name"
},
{
"api... |
17678324150 | # ---LICENSE-BEGIN - DO NOT CHANGE OR MOVE THIS HEADER
# This file is part of the Neurorobotics Platform software
# Copyright (C) 2014,2015,2016,2017 Human Brain Project
# https://www.humanbrainproject.eu
#
# The Human Brain Project is a European Commission funded project
# in the frame of the Horizon2020 FET Fla... | hmsgit/nrpcle | hbp_nrp_cle/hbp_nrp_cle/tests/brainsim/nest_devicetests/test_fixed_spike_generator.py | test_fixed_spike_generator.py | py | 6,225 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "unittest.TestCase",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "hbp_nrp_cle.brainsim.nest.devices.__NestFixedSpikeGenerator.NestFixedSpikeGenerator",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "mock.Mock",
"line_number": 39,
... |
31907377641 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('book', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='sequencebook',
name='num... | fantazey/fb2library | book/migrations/0002_auto_20151112_2318.py | 0002_auto_20151112_2318.py | py | 537 | python | en | code | 5 | github-code | 7 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AlterField",
"line_number": 14,
"usage_type": "call"
},
{... |
15272151280 | from game_data import data
import random
import art
from replit import clear
print(art.logo)
# create two accounts to compare
choice_A = random.choice(data)
# print(choice_A)
choice_B = random.choice(data)
# print(choice_B)
score = 0
if choice_A == choice_B:
choice_B = random.choice(data)
# print(choice_B)
# print(... | Diyoh/Python_projects | higher_lower_game.py | higher_lower_game.py | py | 1,298 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "art.logo",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "random.choice",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "game_data.data",
"line_number": 8,
"usage_type": "argument"
},
{
"api_name": "random.choice",
"line... |
4503650878 | #coding:utf-8
import cv2
import numpy as np
import glob
def draw_chease_board(height = 1200, width = 1800, length = 200):
image = np.zeros((height, width), dtype=np.uint8)
print(image.shape[0], image.shape[1])
for j in range(width):
for i in range(height):
if (int(i / length) + int(j /... | ZhangLanTao/Robot-Grab-using-PointCloud | hardware/camera/camera_calibrate.py | camera_calibrate.py | py | 3,785 | python | en | code | 7 | github-code | 7 | [
{
"api_name": "numpy.zeros",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "cv2.imwrite",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number"... |
75240074463 | from botoy import Botoy, Action, GroupMsg
from botoy import decorators as deco
import os
import json
import requests, time
from utils.fileio import read_json, write_json
from utils.twitter_manager import TwitterManager
resource_path = "./resources/twitter_timeline_alarm"
bot = Action(
qq = int(os.getenv('BOTQQ')... | falcon-hayaki/botoy_plugins | plugins/bot_twitter_timeline_subscribe.py | bot_twitter_timeline_subscribe.py | py | 3,369 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "botoy.Action",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "utils.twitter_manager.TwitterManager",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "botoy.Gro... |
24595013454 | import random
from django.core.management.base import BaseCommand
from django_seed import Seed
from reviews import models as models_reviews
from places import models as models_places
from users import models as models_users
class Command(BaseCommand):
help = "This command created many reviews"
def add_argume... | ChoiNakHoon/stampKorea | reviews/management/commands/seed_review.py | seed_review.py | py | 1,353 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django_seed.Seed.seeder",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django_seed.Seed",
"line_number": 22,
"usage_type": "name"
},
{
"a... |
36506408865 | from flask import Flask, render_template, request, redirect, flash
from flask_mysqldb import MySQL
from scripts.scraper import getReddit
import yaml
app = Flask(__name__)
# Configure db
db = yaml.safe_load(open("db.yaml"))
app.config['MYSQL_HOST'] = db['mysql_host']
app.config['MYSQL_USER'] = db['mysql_user']
app.con... | jchi4/Aliens | app.py | app.py | py | 2,433 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask_mysqldb.MySQL",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "scripts.scraper.getReddi... |
31199345433 | from world import World
import json
import cProfile
unit_testing = False
def main():
if unit_testing:
world = World(30, 1, 1)
world.unit_test()
else:
with open("species.json", "w") as speciesFile:
speciesFile.write("{}")
world = World(50, 1, 1000)
while Tru... | Qupergo/School-Projects | Other/GeneticAlgorithmSnake/snakeMain.py | snakeMain.py | py | 885 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "world.World",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "world.unit_test",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "world.World",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "world.make_moves",
"line_... |
17748441600 | from pytube import Playlist, YouTube
import re
from datetime import timedelta
from tqdm import tqdm
# Ask user for YouTube playlist URL
playlist_url = input("Enter YouTube playlist URL: ")
# Extract playlist ID from URL
playlist_id = re.findall(r"(?<=list=)[^&$]+", playlist_url)[0]
# Initialize playlist object
playl... | KhalsaAnonymous/youtube_playlist_duration | youtube_playlist_duration.py | youtube_playlist_duration.py | py | 893 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "re.findall",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pytube.Playlist",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pytube.YouTube",
"line_numbe... |
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