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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
74649258984 | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
from rocketmq.client import Producer,Message
from utils.my_logger import logger
import time
import re
def push(num):
tt = re.findall('^\d{13}', str(time.time()).replace('.', ''))[0]
print(type(tt))
producer = Producer('PID-001')
producer.set_namesrv_addr('1... | iospeng/python | pycharm_demo/pythonProject2/test_cases/mqpush.py | mqpush.py | py | 1,275 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "re.findall",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "rocketmq.client.Producer",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "rocketmq.client.Message",... |
10830099515 | import tkinter as tk
import json
from api import functions
class window(tk.Tk):
def __init__(self):
super().__init__()
self.geometry('767x445')
self.title('Get daily news')
self.funcs = functions()
def main_window(self):
# Creating required labels and frame
title = tk.Label(self, text="Get news", font="... | PingalPie/news-application | gui.py | gui.py | py | 3,053 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "tkinter.Tk",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "api.functions",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tkinter.Label",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tkinter.Frame",
"line_... |
4703541196 | #!/usr/bin/env python3
import rospy
import sounddevice as sd
import numpy as np
import queue
import sys
import sounddevice as sd
from audio_universal.msg import AudioData
'''
~output_device: use `python3 -m sounddevice` to get device list, numerical device ID or case-insensitive substrings is ok.
~channels: 1
~refresh... | jsbyysheng/ros_audio_universal | scripts/audio_play.py | audio_play.py | py | 2,867 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "queue.Queue",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "queue.Queue",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "queue.Queue",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sounddevice.OutputStream",
"l... |
5001168268 | import json
import os
import boto3
import logging
logger = logging.getLogger()
logger.setLevel(logging.INFO)
dynamodb = boto3.resource("dynamodb")
def lambda_handler(event, context):
logger.info(f"EVENT: {event}")
statistics_table_name = os.environ["STATISTICS_TABLE_NAME"]
statistics_table = dynamodb.Ta... | HeNeos/SportsAnalyticsPlatform | services/dynamodb/runtime/lambda_function.py | lambda_function.py | py | 4,924 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "boto3.resource",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.environ",
"lin... |
22398051842 | import sys
import cv2
import numpy as np
from os import listdir
PY3 = sys.version_info[0] == 3
#Define the parameters
SIZE = 32
CLASS_NUMBER = 6
#Read the traffic sign dataset and store the dataset and labels into a list
def load_traffic_dataset():
dataset = []
labels = []
for sign_type in range(CLASS_NU... | nabil053/Bangladeshi-Traffic-Sign-Detection-And-Recognition-System | classification.py | classification.py | py | 3,647 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.version_info",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_num... |
32443531446 | import imdb
import json
from tqdm import tqdm
ia = imdb.IMDb()
DATA_NEEDED = False
with open("./imdb/movie_title-id.json", "r") as data:
current_data = json.load(data)
with open('./movie_titles_list.json', "r") as movie_list:
movies = json.load(movie_list)
if DATA_NEEDED:
for i in tqdm(range(0, len(mov... | Shreneken/movie-data-getter | imdb/imdb_id.py | imdb_id.py | py | 824 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "imdb.IMDb",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 16,
"... |
41539002397 | #!/usr/bin/python
# Imports
### System
import os
import argparse
### Python
import numpy as np
import cv2 as cv
from tqdm.auto import tqdm
import matplotlib.pyplot as plt
### Pytorch
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
### TODO: Use WandB, Pytorch Lightning... | Aryan-Garg/Image-Forgery-Detection | transfer_learning.py | transfer_learning.py | py | 13,826 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "timm.create_model",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "timm.create_model",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "timm.crea... |
26094620258 | import google
import firebase_admin
from firebase_admin import credentials
from firebase_admin import firestore
import base64
keyPath = '../firestoreKEY.json'
def initializeDb(path):
cred = credentials.Certificate(path)
firebase_admin.initialize_app(cred)
db = firestore.client()
return db
def strin... | 16francej/firestoredemo | RecieveImage.py | RecieveImage.py | py | 1,190 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "firebase_admin.credentials.Certificate",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "firebase_admin.credentials",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "firebase_admin.initialize_app",
"line_number": 12,
"usage_type": "call"... |
8373131694 |
import jwt
JWT_SECRET = "this_is_just_for_testing"
def create_jwt(payload):
token = jwt.encode(
payload,
JWT_SECRET,
algorithm="HS256"
)
return token
def validate_jwt(token):
try:
payload = jwt.decode(token, JWT_SECRET, "HS256")
except:
raise
re... | walterbrunetti/playground | auth/core/jwt_utils.py | jwt_utils.py | py | 338 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "jwt.encode",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "jwt.decode",
"line_number": 21,
"usage_type": "call"
}
] |
27029634669 | import copy
import logging
import os.path as osp
import numpy as np
import torch
from fvcore.common.file_io import PathManager
from PIL import Image
from pycocotools import mask as maskUtils
from detectron2.data import detection_utils as utils
from detectron2.data import transforms as T
from detectron2.data.dataset_m... | ViTAE-Transformer/DeepSolo | adet/data/dataset_mapper.py | dataset_mapper.py | py | 6,846 | python | en | code | 177 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pycocotools.mask.frPyObjects",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pycocotools.mask",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "pycoc... |
37989827251 | """
Steps to run:
python insured_info_scraper.py <account number>
Eg:
python insured_info_scraper.py 20011
Program written in Python 3
Program Output:
1 file:
Insured_Info_<account_num>.json - json file that contains the insured info details
Program Description:
Progam first fetches the ASP login page paramters - _... | tebbythomas/Freelance_Projects | Web_Data_Extraction_Projects/J10_Finance_Pro_Insured_Info_Scraper/Insured_Info/insured_info_scraper.py | insured_info_scraper.py | py | 6,297 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "sys.argv",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "requests.Session",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "requests.post",
... |
6432536009 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import apps.users.models
class Migration(migrations.Migration):
dependencies = [
('users', '0005_auto_20180802_1614'),
]
operations = [
migrations.AlterModelManagers(
nam... | eashme/Django-backend | Hello_Server/apps/users/migrations/0006_auto_20180802_1723.py | 0006_auto_20180802_1723.py | py | 449 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AlterModelManagers",
"line_number": 15,
"usage_type": "call"
... |
70489042024 | from unittest.mock import MagicMock
from uuid import uuid4
import pytest
from pytest import raises
from pydantic import ValidationError
from api.exceptions import InvalidParameterError
from api.schemas.output import (
ConsultaProcessoOutput,
ExtractDataOutput,
ExtractDataSecondInstanceOutput,
StatusS... | BrunoPisaneschi/JusBrasil | tests/unit/api/schemas/test_output.py | test_output.py | py | 4,369 | python | pt | code | 0 | github-code | 36 | [
{
"api_name": "uuid.uuid4",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "api.schemas.output.ConsultaProcessoOutput",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "unittest.mock.MagicMock",
"line_number": 27,
"usage_type": "call"
},
{
"api_... |
9148386910 | #coding=utf-8
"""
这是一个关于QQ模拟（QListView的使用）的例子--模型定义！
文章链接：http://www.xdbcb8.com/archives/701.html
"""
import random
import Random_Name
from PyQt5.QtCore import QAbstractListModel, Qt, QModelIndex, QVariant, QSize
from PyQt5.QtGui import QIcon, QFont
class ListModel(QAbstractListModel):
'''
自定义模型
'''
... | redmorningcn/PyQT5Example | PyQt5All/PyQt535、36、37/ListModel.py | ListModel.py | py | 3,281 | python | zh | code | 1 | github-code | 36 | [
{
"api_name": "PyQt5.QtCore.QAbstractListModel",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.Qt.DisplayRole",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtCore.Qt",
"line_number": 32,
"usage_type": "name"
},
{
"... |
17929378111 | #!/usr/bin/python3
import multiprocessing
import matplotlib.pyplot as plt
from matplotlib.widgets import Slider, Button, RadioButtons
import math
import time
def points():
import sys
for line in open("input.txt"):
line = line.replace("position=", "").replace("velocity=", "").replace(' ', '').replace('... | Easimer/advent-of-code-2018 | day10/day10.py | day10.py | py | 1,643 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "ma... |
25759790506 | import os
from datetime import datetime
dir = os.path.dirname(os.getcwd()+'/users/')
print(dir)
try:
os.stat(dir)
except:
os.mkdir(dir)
print('make directory')
all_users = {}
for f in os.listdir(os.getcwd()):
if f.endswith(".csv"):
split = str(f).split('_')
code = split[1]
pr... | gunarto90/twitter-stream | iterate user id.py | iterate user id.py | py | 1,564 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "os.path.dirname",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.stat",
"line_number": 7,
... |
18924218055 | from selenium import webdriver
from selenium.webdriver.common.by import By
import time
class SwitchToWindow():
def test(self):
baseUrl = "https://letskodeit.teachable.com/pages/practice"
driver = webdriver.Firefox()
driver.maximize_window()
driver.get(baseUrl)
# Find paren... | PacktPublishing/-Selenium-WebDriver-With-Python-3.x---Novice-To-Ninja-v- | CODES/S23 - Selenium WebDriver -_ Switch Window And IFrames/1_switch-to-window.py | 1_switch-to-window.py | py | 847 | python | en | code | 11 | github-code | 36 | [
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.by.By.ID",
"line_number": 18,
"usage_type": "attribute"
},
{
... |
28492416311 | from django.shortcuts import render, HttpResponse
from django.conf import settings
from rest_framework.decorators import api_view
from rest_framework.response import Response
import random
from .models import Planet
from .serializers import PlanetSerializer
from api.serializers import GenericSerializer
from api.vie... | yitchee/The-Clone-Wars-API | api/planets/views.py | views.py | py | 1,971 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "models.Planet",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "api.utils.set_options_response",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "api.utils.validate_request",
"line_number": 25,
"usage_type": "call"
},
{
"api_name"... |
10495517316 | from django.test import TestCase, RequestFactory
from djlotrek.request_utils import get_host_url
class RequestUtilsTestCase(TestCase):
def test_get_host_url(self):
"""
get_host_url function retrieve request object and
return host url when request object is not None
"""
req... | lotrekagency/djlotrek | tests/test_request_utils.py | test_request_utils.py | py | 797 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "django.test.TestCase",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.test.RequestFactory",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "djlotrek.request_utils.get_host_url",
"line_number": 15,
"usage_type": "call"
},
{
... |
2434152222 | from funcs import *
import numpy as np
import matplotlib.pyplot as plt
counter = lambda List, isPositive: sum(List) if isPositive else N - sum(List)
# Выборка
N = 1000
# Class 0
mu_0 = 190
sigma_0 = 10
basketballers = np.random.normal(mu_0, sigma_0, N)
# Class 1
mu_1 = 173
sigma_1 = 12
footballers = np.random.norma... | shulayonok/ML4 | main.py | main.py | py | 2,654 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.random.normal",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.normal",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.rando... |
29858390178 | import time
import pickle
from pathlib import Path
from os.path import splitext
import json
from tensorflow.keras.wrappers.scikit_learn import KerasClassifier
# ASReview dependencies
from asreview.review import ReviewSimulate, ReviewOracle, MinimalReview
from asreview.utils import text_to_features
from asreview.types... | syuanuvt/automated-systematic-review | asreview/review/factory.py | factory.py | py | 9,549 | python | en | code | null | github-code | 36 | [
{
"api_name": "asreview.config.DEFAULT_MODEL",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "asreview.config.DEFAULT_QUERY_STRATEGY",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "asreview.config.DEFAULT_BALANCE_STRATEGY",
"line_number": 36,
"usage... |
8729618404 | #This script will format all images in a given directory to the same size and to gray scale using OpenCV
from scipy import ndimage, misc
import numpy as np
import cv2 as cv
from os import listdir
#Iterate throuh the training image directory and sub folders
img_directory= "/home/paok/Documents/FaceRecognition/trainImage... | PAOK-2001/FaceRecognition | Trainer_auxfiles/imageFormater.py | imageFormater.py | py | 1,359 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.listdir",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 19,... |
70190123945 | from tech_news.database import search_news
from datetime import datetime
# Requisito 6
def search_by_title(title):
find = search_news(
{"title": {"$regex": f"{title}", "$options": "i"}}
)
return [(item["title"], item["url"]) for item in find]
# Requisito 7
def search_by_date(date):
try:
... | mabiiak/tech-news | tech_news/analyzer/search_engine.py | search_engine.py | py | 1,103 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "tech_news.database.search_news",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 18,
"usage_type": "name"
},
{
"api_na... |
7749021941 | import sys
import os
from Bio.Blast import NCBIWWW
from Bio.Blast.Applications import NcbiblastxCommandline
from Bio.Blast import NCBIXML
from Bio import SeqIO
E_VALUE_THRESH = 10
RESULTS_XML = "results.xml"
PROT_DB = "swissprot"
NUC_DB = "nt"
if len (sys.argv) != 5:
print("Invalid params: 1) In file path - 2) O... | jpalacci/bio | src/ex2.py | ex2.py | py | 1,987 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.argv",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 20... |
3300025718 | from exif_service import ExifService
from ai_service import AiService
import base64
import os
class ImageService:
def __init__(self, app, initial_path, ai_enabled=True):
self.directory = initial_path
self.app = app
self.ai_enabled = ai_enabled
self.exif_service = ExifService()
... | tim0-12432/photo-analyzer | backend/image_service.py | image_service.py | py | 2,127 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "exif_service.ExifService",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "ai_service.AiService",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path.isfi... |
30540305178 | #!/usr/bin/env python3
import requests
import pandas as pd
import json
import logging
import sys
logging.basicConfig(stream=sys.stdout, level=logging.DEBUG)
# Our endpoint URL
endpoint = "http://universities.hipolabs.com/search?country=Canada"
def report_to_csv(api_url):
# Making a GET request to the endpoint
... | samsheriff/seccomp-proj-api | main.py | main.py | py | 1,463 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.basicConfig",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "logging.DEBUG",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
... |
71239927463 | '''
Author - Imanpal Singh <imanpalsingh@gmail.com>
GUI application for twitter sentiment analysis
Date created : - 02-07-2019
Date modified : - 03-07-2019
'''
#importing requierd libraries
import numpy as np
import pandas as pd
from nltk.corpus import stopwords
from nltk.stem.porter import PorterStemmer... | imanpalsingh/twitter-sentiment-analysis | GUI.py | GUI.py | py | 3,692 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "nltk.stem.porter.PorterStemmer",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sklearn.naive_bayes.GaussianNB",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_extraction.text.CountVectorizer",
"line_number": 20,
"usage... |
24304392906 | import numpy
import matplotlib
import matplotlib.pyplot as plt
from scipy.spatial import distance
from copy import deepcopy
filename1 = 'normal.txt'
filename2 = 'unbalanced.txt'
def readData(filename):
xc = []
yc = []
coords = [xc, yc]
with open(filename,'r') as f:
for line in f:
x, y = line.split()
xc.ap... | nyuseinova/K-Means-Clustering | kMeans.py | kMeans.py | py | 3,806 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.random.randint",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "scipy.spatial.distance.euclidean",
"line_number": 36,
"usage_type": "call"
},
{
"api_name"... |
41610031938 | import json
with open("players.json", 'r') as file:
data=json.load(file)
p1=data['player']
d={}
for wkr in p1:
for k,v in wkr.items():
if k=="role" and v=="Wicket-keeper":
print("There is one wicket-keeper in a BTeam:", k,v)
| tangellamudimanisha/BTeam | wicket-keeper.py | wicket-keeper.py | py | 270 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "json.load",
"line_number": 3,
"usage_type": "call"
}
] |
25951213667 | import streamlit as st
import pickle
import numpy as np
import pandas as pd
movies_data = pickle.load(open('./books/movies.pkl','rb'))
similarities = pickle.load(open('./books/movie_similarities.pkl','rb'))
movies_df = pd.DataFrame(movies_data)
movies_title = movies_df['title'].values
def recommend(movie):
movi... | bheemisme/movie-recommendar-system | app.py | app.py | py | 797 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pickle.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.argsort",
"line_numbe... |
8827399963 | from __future__ import absolute_import, division, print_function
from collections import OrderedDict
import flask
from flask import current_app, request
class APIEndpoint(object):
MIN_API_VERSION = 3
LATEST_API_VERSION = 3
HEADER_PREFIX = "application/vnd.marv.v"
def __init__(self, name, func, url_... | ternaris/marv | marv_webapi/tooling.py | tooling.py | py | 3,760 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "flask.request.headers.get",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "flask.request.headers",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "fl... |
9645302628 | '''
Find sum of all primes below N.
'''
from datetime import datetime
import math
import itertools
def summationOfPrimes(N):
sum = 0
#initialize prime number array, number corresponding to index is a prime if value is True (except first 2)
primeArray = [True for i in range(N+1)]
number = 2
... | bikram-gill/code | solutions/projectEuler/python/P0010-SummationOfPrimes.py | P0010-SummationOfPrimes.py | py | 1,217 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "datetime.datetime.now",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "datetim... |
27095189897 | from django.urls import path
from .views import register, login,home, task_edit,task_delete, filter_period_view,logout
urlpatterns =[
path("register/", register, name='register'),
path('', login, name='login'),
path('logout/', logout, name='logout' ),
path('home/', home, name='home'),
path('task... | cavidanhasanli/Planner_project | planner_app/urls.py | urls.py | py | 507 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "views.register",
"line_number": 5,
"usage_type": "argument"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "views.login",
"... |
43380221313 | import openai
def interact_with_chatgpt_prova(user, system, API_KEY, maxContent, creativita):
openai.api_key = API_KEY
response = openai.ChatCompletion.create(
model="gpt-3.5-turbo-16k",
messages=[
{"role": "system", "content": system},
{"role": "user", "cont... | Rfusar/dashboard | dashboard/interazioneGPT/connGPT.py | connGPT.py | py | 678 | python | it | code | 0 | github-code | 36 | [
{
"api_name": "openai.api_key",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "openai.ChatCompletion.create",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "openai.ChatCompletion",
"line_number": 7,
"usage_type": "attribute"
}
] |
74478447143 | import random
import pygame
from pygame.locals import QUIT
from pelota import*
from Raqueta import*
pygame.mixer.init()
VENTANA_HORI = 1200
VENTANA_VERT = 600
FPS = 160
BLANCO = (255, 255, 255)
NEGRO = (0, 0, 0)
fondo= pygame.image.load("fondo.png")
pantalla = pygame.display.set_mode((VENTA... | luis10dsn/Pong | Pong/main.py | main.py | py | 2,513 | python | es | code | 0 | github-code | 36 | [
{
"api_name": "pygame.mixer.init",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.mixer",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pygame.image",
... |
19643341301 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
# PyArtForms - Python generative art forms paint algorithms (artificial artist)
# experimental 'smears' paint algorithms, v1.0 - core algorithm definitions
# (c)2017-2021 MoNsTeR/GDC, Noniewicz.com, Noniewicz.art.pl, Jakub Noniewicz
# #01 [...] 'cruel red smears', not on... | monstergdc/pyartforms | playgroud/smears.py | smears.py | py | 49,566 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "random.randint",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 95,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 96,
"usage_type": "call"
},
{
"api_name": "random.randint",
"li... |
74713864745 | from UM.Application import Application
from UM.Logger import Logger
from cura.CuraApplication import CuraApplication
from cura.PrinterOutputDevice import PrinterOutputDevice, ConnectionState
from PyQt5.QtNetwork import QHttpMultiPart, QHttpPart, QNetworkRequest, QNetworkAccessManager, QNetworkReply
from PyQt5.QtCore ... | criscola/G-Gen | misc/zip/Cura-master/cura/PrinterOutput/NetworkedPrinterOutputDevice.py | NetworkedPrinterOutputDevice.py | py | 14,072 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "enum.IntEnum",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "cura.PrinterOutputDevice.PrinterOutputDevice",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 26,
"usage_type": "call"
},
{
... |
30129375464 | import cv2
face_cascade=cv2.CascadeClassifier(r"C:\Users\KIIT\AppData\Roaming\Python\Python310\site-packages\cv2\data\haarcascade_frontalface_default.xml")
cap=cv2.VideoCapture(0)
while 1:
ret,img=cap.read()
color=cv2.cvtColor(img,cv2.COLOR_BGR2RGBA)
faces=face_cascade.detectMultiScale(color,1.3,5)
fo... | rimo10/object-detection | face.py | face.py | py | 520 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cv2.CascadeClassifier",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2RGBA",... |
29567698176 | import requests
KIND_SELL = "f3b277728b3fee749481eb3e0b3b48980dbbab78658fc419025cb16eee346775"
BALANCE_ERC20 = "5a28e9363bb942b639270062aa6bb295f434bcdfc42c97267bf003f272060dc9"
def api_get_sell_fee(sell_token, buy_token, sell_amount, network="mainnet"):
fee_url = f"https://api.cow.fi/{network}/api/v1/feeAndQuot... | lidofinance/lido-otc-seller | utils/cow.py | cow.py | py | 3,245 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_num... |
36395547481 | from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from datetime import datetime
import time
class InstagramBot:
def __init__(self, username, password):
self.username = username
self.password = password
self.bot = webdriver.Firefox()
self.cont =... | matheusleps/InstaBot | instabot.py | instabot.py | py | 6,262 | python | pt | code | 0 | github-code | 36 | [
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "selenium.web... |
18801922589 | from flask import request, json, Response, Blueprint, g, jsonify, make_response
from ..models.UserModel import UserModel, UserSchema
from ..shared.Authentication import Auth
from marshmallow import ValidationError
user_api = Blueprint('users', __name__)
user_schema = UserSchema()
@user_api.after_request # blueprint c... | AnthonyClausing/movie-night-api | src/views/UserView.py | UserView.py | py | 3,721 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Blueprint",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "models.UserModel.UserSchema",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.request.get_json",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "flas... |
12366385422 | #!/usr/bin/env ccp4-python
"""
Created on 2 Feb 2015
@author: jmht
"""
import logging
import os
import shutil
import sys
import uuid
from ample.util import ample_util, mtz_util
try:
from mrbump.parsers import parse_shelxe
except ImportError:
mrbumpd = os.path.join(os.environ['CCP4'], "share", "mrbump", "inc... | rigdenlab/ample | ample/util/shelxe.py | shelxe.py | py | 5,172 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "os.path.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "sys.path.insert",
"line... |
70617927783 | # Speech Brain Viewer app
# to accompany Hamilton, Oganian, Hall, and Chang, Cell 2021
# https://doi.org/10.1016/j.cell.2021.07.019
#
# Viewer created by Liberty Hamilton, 2021
# Email liberty.hamilton@austin.utexas.edu with questions
#
import scipy.io
import numpy as np
import dash
import dash_core_components as dc... | libertyh/SpeechCortex | app.py | app.py | py | 24,899 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "dash.Dash",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "flask_caching.Cache",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_n... |
33109766349 | import ctypes
import re
import os
import sys
from codegen import clear
def extract():
extracts = 0
clear()
ctypes.windll.kernel32.SetConsoleTitleW("Loveless.codes | Google Mini Extractor")
if not os.path.exists("extracting.txt"):
open("extracting.txt", mode='x').close()
input(... | pepsi/LovelessGen | modules/extractor.py | extractor.py | py | 975 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "codegen.clear",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "ctypes.windll.kernel32.SetConsoleTitleW",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "ctypes.windll",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": ... |
25371860228 | from plugins.search_engine_scraping_plugin import SearchEngineScrapingPlugin
import requests
import re
from bs4 import BeautifulSoup
class DuckDuckGoPlugin(SearchEngineScrapingPlugin):
""" This plugin implements a screen scraping for Duck Duck Go search engine"""
_url = None
def get_results(self, query)... | willsimoes/projeto-final | plugins/duck_duck_go_plugin.py | duck_duck_go_plugin.py | py | 1,675 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "plugins.search_engine_scraping_plugin.SearchEngineScrapingPlugin",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "re.sub",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 30,
"usage_type": "call"
},
{
... |
27520193757 | from nltk.util import ngrams
import nltk
f1=open('wsw.txt', 'r')
f2=open('posonly.txt', 'w')
f3=open('negonly.txt', 'w')
for line in f1:
if line.split(None, 1)[0] == '+':
s=line.split(' ',1)[1]
f2.write(s)
f1.close()
f1=open('wsw.txt', 'r')
for line in f1:
if line.split(None, 1)[0] == '-':
s=line.split(... | koder951/NLP_Project | 6/bigram.py | bigram.py | py | 1,026 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "nltk.util.ngrams",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "nltk.FreqDist",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "nltk.util.ngrams",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "nltk.FreqDist",
"... |
70954832424 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Contains an interpreter class that takes raw grayscale data from the picarx grayscale module and maps it to a
direction value between -1 and 1. The direction value is determined with a psuedo PD controller."""
import picarx_improved
import logging
import time
import nu... | EverardoG/RobotSystems | lib/line_following_interpreter.py | line_following_interpreter.py | py | 6,327 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.basicConfig",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG... |
7755827639 | import asyncio
import io
import logging
from abc import ABC, abstractmethod
from dataclasses import dataclass
from typing import Any, Dict, Generic, List, Optional, Type, TypeVar, Union
from urllib.parse import urlsplit
import aiohttp
import mercantile
from funclib.models import RenderOptions
from funclib.raster impor... | microsoft/planetary-computer-apis | pcfuncs/funclib/tiles.py | tiles.py | py | 7,469 | python | en | code | 88 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "typing.TypeVar",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "funclib.raster.Raster",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "typing.TypeVar... |
27941619917 | import gc
import itertools
import multiprocessing as mp
from math import ceil
import numpy as np
import pandas as pd
from scipy.sparse import csr_matrix
from scipy.sparse import issparse
from SEMITONES._utils import _chunk_indices
from SEMITONES._utils import _linreg_get_beta
from SEMITONES._utils import _permute
fro... | ohlerlab/SEMITONES | src/SEMITONES/enrichment_scoring.py | enrichment_scoring.py | py | 16,684 | python | en | code | 8 | github-code | 36 | [
{
"api_name": "gc.enable",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "scipy.sparse.issparse",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "SEMITONES._utils._chunk_indices",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy... |
27888263770 | from django.db import models
from django.core.exceptions import ValidationError
def validate_thumbnail_size(field_file_obj):
file_size = field_file_obj.file.size
kilobyte_limit = 256
if file_size >= kilobyte_limit * 1024:
raise ValidationError(f"This image is {file_size / 1024}kb. Please make sure it i... | theorangeyakco/sarpanch | content/utils.py | utils.py | py | 700 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "django.core.exceptions.ValidationError",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.db.models.Model",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 13,
"usage_type": "name"
},
{
... |
13097952438 | # !/usr/bin/env python
# -*- coding: utf-8 -*-
"""
@author: lishuang
@description: 绘制 sigmoid 函数
"""
import numpy as np
import matplotlib.pyplot as plt
def sigmoid(x):
"""
sigmoid 函数
:param x:
:return:
"""
y = 1 / (1 + np.exp(-x))
return y
def derivative_sigmoid(x):
"""
sigmoi... | TatenLee/machine-learning | bi/core/l7/activation_function/sigmoid.py | sigmoid.py | py | 733 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "numpy.exp",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
... |
22753766688 | """Deep_acsauto package definition"""
from setuptools import setup, find_packages
from __init__ import __version__
# Read long description from file
with open("README.md", "r") as fh:
LONG_DESCRIPTION = fh.read()
setup(
name="DeepACSA",
version=__version__,
description=(
"Anatomical cross-se... | maxull/Sharples-Lab | DeepACSA/DeepACSA-main/setup.py | setup.py | py | 1,552 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "setuptools.setup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "__init__.__version__",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "setuptools.find_packages",
"line_number": 49,
"usage_type": "call"
}
] |
30292556243 | from mesa import Agent
from src.agents import Environment, Food
from src.utils import calculate_distance, get_item, random_move
FORAGING = 'PROCURANDO'
HOMING = 'VOLTANDO'
class ForagingAnt(Agent):
def __init__(self, current_id, model, pos, color):
super().__init__(current_id, model)
self.... | UnBParadigmas2022-1/2022.1_G3_SMA_Formigueiro | src/agents/foragingAgent.py | foragingAgent.py | py | 5,369 | python | pt | code | 6 | github-code | 36 | [
{
"api_name": "mesa.Agent",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "src.agents.Food",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "src.utils.get_item",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "src.agents.Food",
"... |
70010914665 | import urllib.request
import ssl
import json
ssl._create_default_https_context = ssl._create_unverified_context
def search(keyword):
client_id = "BoqP7ttLY0wDhxvLzawS"
client_secret = "ztLCPvpLyO"
encText = urllib.parse.quote(keyword)
url = "https://openapi.naver.com/v1/search/blog?query=" + encTex... | Kyeongrok/python_yla | com/week7/am/naver_openapi8.py | naver_openapi8.py | py | 862 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "ssl._create_default_https_context",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "ssl._create_unverified_context",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "urllib.request.parse.quote",
"line_number": 12,
"usage_type": "c... |
72514606824 | import logging
import os
import sys
import tempfile
import warnings
from contextlib import contextmanager
from collections import defaultdict
from datetime import datetime, timedelta, timezone
from itertools import chain
from subprocess import CalledProcessError
from urllib.parse import urljoin, urlsplit, urlunsplit
... | ossobv/keystone-light | keystone_light/__init__.py | __init__.py | py | 37,297 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.NullHandler",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.expanduser",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
23563599190 | # -*- coding: utf-8 -*-
"""
Created on Tue Jun 20 07:39:26 2017
@author: mnshr
"""
from statsmodels.stats.outliers_influence import variance_inflation_factor
"""
VIF = 1 (Not correlated) 1 < VIF < 5 (Moderately correlated) VIF > 5 to 10 (Highly correlated)
VIF is one way to understand whether any two independent va... | mnshr/kgl | stats.py | stats.py | py | 2,925 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "statsmodels.stats.outliers_influence.variance_inflation_factor",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "statsmodels.stats.outliers_influence.variance_inflation_factor",
"line_number": 67,
"usage_type": "call"
}
] |
42544034746 | #!/usr/bin/env python3
import argparse
import csv
import os
import pickle
import shutil
import time
from concurrent import futures
import grpc
from pysrbup.backup_system_pb2 import (Block, DeleteBackupResponse,
GetBackupResponse, GetBlocksResponse,
... | dorchul/pysrbup | pysrbup/server.py | server.py | py | 5,900 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.join",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "pickle.load",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number... |
22517487941 | from datetime import timedelta
from django.utils import timezone
from django.contrib.auth.models import User
import pytest
from typing import List
from .. import models
EVENT_NAME = "football with friends"
MAX_PART = 20
IS_PRIVATE = False
DATETIME = timezone.now() + timedelta(days=2)
POLL_END_TIME = timezone.now()
PO... | redhat-beyond/FitMeet | event/tests/conftest.py | conftest.py | py | 6,663 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.utils.timezone.now",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.utils.timezone",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "datetime.timedelta",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "dj... |
2496560289 | #!/usr/bin/env python
"""
photomongo - read and process all tweets possible
Usage:
photomongo [options] CONFIGFILE
Options:
-h --help Show this screen.
--pickle-to=<picklefile> file to save tweets.
--pickle-from=<picklefile> file to read tweets.
--max=<number> maximum num... | anielsen001/photomongo | photomongo.py | photomongo.py | py | 6,387 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "logging.basicConfig",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "logging.FileHandler",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "logging.ge... |
25285589404 | '''
Find out the relationship between Liquor Sales and Vehicle Accidents
'''
import sys
import math
import uuid
from schema import liquor_schema
from matplotlib import pyplot as plt
import pandas as pd
from pyspark.sql import SparkSession, types
from pyspark.sql import functions as F
assert sys.version_info >= (3, 5)... | libou/Liquor-Sale-Analysis | liquor_vehicle.py | liquor_vehicle.py | py | 3,441 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.version_info",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession.builder.appName",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 18,
"usage_type": "attri... |
15576814335 | from collections import deque
T = int(input())
for _ in range(T):
N, M = map(int, input().split())
queue = deque(map(int, input().split()))
queue = deque([(i, idx) for idx, i in enumerate(queue)])
count = 0
while True:
if queue[0][0] == max(queue, key=lambda x: x[0])[0]:
... | HelloWook/AlgorithmStudy | 백준/Silver/1966. 프린터 큐/프린터 큐.py | 프린터 큐.py | py | 532 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.deque",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 7,
"usage_type": "call"
}
] |
2022880805 | import logging as log
import math
import torch
import torch.nn as nn
from pytorch_lightning.core.lightning import LightningModule
import nltocode.decoder as custom_decoder
import nltocode.encoder as custom_encoder
class Transformer(LightningModule):
def __init__(self,
d_model,
... | SmartDataAnalytics/codeCAI | nl2codemodel/src/nltocode/transformerinf.py | transformerinf.py | py | 11,778 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "pytorch_lightning.core.lightning.LightningModule",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "torch.nn.Embedding",
"line_number": 92,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 92,
"usage_type": "name"
},
{
"api_... |
14644417459 | from fastapi import FastAPI, Response
from starlette.middleware.cors import CORSMiddleware
from routes import jobs
from logger.log_info import logger
app = FastAPI()
@app.middleware('http')
async def log_request(request, call_next):
logger.info(f'{request.method} {request.url}')
response = await call_next(r... | Baktybek0312/Log_BloG | main.py | main.py | py | 831 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logger.log_info.logger.info",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logger.log_info.logger",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "log... |
1938568135 | import os
import glob
import pathlib
from io import StringIO
from typing import List, Dict, Optional
from dataclasses import dataclass
import kclvm.compiler.parser.parser as parser
import kclvm.compiler.vfs as vfs
import kclvm.compiler.extension.plugin.plugin_model as plugin
import kclvm.compiler.extension.builtin.bui... | kcl-lang/kcl-py | kclvm/tools/list_attribute/utils.py | utils.py | py | 9,943 | python | en | code | 8 | github-code | 36 | [
{
"api_name": "dataclasses.dataclass",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "kclvm.kcl.ast.ast.Module",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "kclvm.kcl.ast.ast",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": ... |
3585569128 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
master_list = list()
with open("../Data_sets/corpus_2_unigram_sorted.txt") as fileobj:
for line in fileobj:
if line == "" or line == " " or line == "\n":
continue
l = line.strip(' ')
l = l.strip('\n')
... | tarun0409/nlp-assignment-3-4 | zipfs.py | zipfs.py | py | 705 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.DataFrame",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 26,
"usage_type": "name"
}
] |
71050589225 | import streamlit as st
from langchain.llms import OpenAI
from langchain.prompts import PromptTemplate
st.title("💬 Prompt Critic")
openai_api_key = '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'
def prompt_critic(prompts):
# Instantiate LLM model
llm = OpenAI(model_name="gpt-4", openai_api_key=open... | shihwesley/CMPE297 | Prompt Engineering assignment/pages/1_Prompt Critic.py | 1_Prompt Critic.py | py | 990 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "streamlit.title",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "langchain.llms.OpenAI",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "langchain.prompts.PromptTemplate",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": ... |
25376871762 | from sklearn.model_selection import cross_val_score
from sklearn.model_selection import cross_val_predict
from sklearn.metrics import classification_report
import numpy as np
def get_cv_metrics(text_clf, train_data, train_class, k_split):
accuracy_scores = cross_val_score(text_clf, # steps to convert raw messages... | abelsaug/EmpathyPrediction | CV_metrics.py | CV_metrics.py | py | 1,078 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sklearn.model_selection.cross_val_score",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.cross_val_predict",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 19,
"usage_type": "call"
}... |
16127616120 | import os
import json
from keras.models import load_model
import pandas as pd
import pickle
import numpy as np
import shutil
from keras.preprocessing import image
from tqdm.notebook import tqdm
from PIL import ImageFile
BASE_MODEL_PATH = os.path.join(os.getcwd(),"model")
... | Abhinav1004/Distracted-Driver-Detection | demo_on_video/driver_prediction.py | driver_prediction.py | py | 2,607 | python | en | code | 37 | github-code | 36 | [
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number":... |
26910125965 | #!/usr/bin/python3
import sys
import re
import string
import xml.etree.ElementTree as ET
import getopt
import math
import codecs
import time
import png
# global variables
inputFile = ""
outputFile = ""
parseAll = True
timeFrom = ""
timeTo = ""
objectNames = ""
eventTypes = ""
actionNames = ""
objectClasses = ""
pathS... | SindenDev/3dimviewer | applications/3DimViewer/tools/activity_logging/logProcessing.py | logProcessing.py | py | 11,807 | python | en | code | 9 | github-code | 36 | [
{
"api_name": "getopt.getopt",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "getopt.GetoptError",
"line_number": 84,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_n... |
14267295600 | from typing import Any
from data_structures.stacks.stack import Stack, PopEmpty
class StackWithBottom(Stack):
def __init__(self):
self._bottom = None
super(StackWithBottom, self).__init__()
def push(self, value: Any):
super(StackWithBottom, self).push(value)
if not self._bot... | goncalossantos/CtCI | chapter_3/stack_of_stacks.py | stack_of_stacks.py | py | 2,062 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "data_structures.stacks.stack.Stack",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "data_structures.stacks.stack.PopEmpty",
"line_number": 25,
"usage_type": "call"
},
{
... |
5063097451 | from intervaltree import Interval as interval, IntervalTree
class OutputExporter(object):
def __init__( self, mz_prec ):
self.mz_prec = mz_prec
self.BG = None
def iBG(self, node_type):
'''Iterate over all nodes of a given type in the whole big graph **BG** of solved subproblems.
... | MatteoLacki/MassTodonPy | MassTodonPy/Outputting/export_outputs.py | export_outputs.py | py | 3,880 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "intervaltree.IntervalTree",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "intervaltree.Interval",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "intervaltree.Interval",
"line_number": 38,
"usage_type": "call"
}
] |
5314308477 | import plotly.express as px
import pandas as pd
import numpy as np
import plotly.graph_objs as go
from numpy.core.fromnumeric import shape
def bar_chart(df):
df2 = df[(df['homelessness'] == 'Overall Homeless') & (df['state'] == 'Total')]
barchart = px.bar(df2, x = 'year' , y = 'number' , title = 'Year wise count of... | MSidda/Plotly-Dashboard | utilities/vis.py | vis.py | py | 13,487 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "plotly.express.bar",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "plotly.express",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "plotly.express.line",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "plotly.express",
... |
43751035063 | from __future__ import unicode_literals
import os
from collections import OrderedDict, namedtuple
from operator import itemgetter
from pathlib import Path
import six
if six.PY2:
from collections import MutableSequence, Sized
elif six.PY3:
from collections.abc import MutableSequence, Sized
class Table(Mutab... | turicas/rows | rows/table.py | table.py | py | 9,338 | python | en | code | 851 | github-code | 36 | [
{
"api_name": "six.PY2",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "six.PY3",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "collections.abc.MutableSequence",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "collections... |
14719000244 | from multiprocessing.sharedctypes import Value
from xmlrpc.client import Boolean
from source.dataloaders.data_loaders_factory import DataLoaderFactory
import torch
import torchaudio
import os
import numpy as np
import csv
from source.dataloaders.project_2_dataset import Project_2_Dataset
from source.utils.config_manage... | Shaveek23/cifar10-computer_vision | source/dataloaders/onevsall_dataloadersfactory.py | onevsall_dataloadersfactory.py | py | 4,491 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "source.dataloaders.data_loaders_factory.DataLoaderFactory",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "torch.nn",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "source.utils.config_manager.ConfigManager.is_eden",
"line_number": 38... |
24997436439 | """empty message
Revision ID: 60ec815b1cea
Revises: e20eb33302a2
Create Date: 2023-01-28 01:32:26.058698
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '60ec815b1cea'
down_revision = 'e20eb33302a2'
branch_labels = None
depends_on = None
def upgrade():
# ... | gaelzarco/aihub | flask/migrations/versions/60ec815b1cea_.py | 60ec815b1cea_.py | py | 1,371 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "alembic.op.batch_alter_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.INTEGER",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sqlalchemy... |
30490693575 | # encoding: utf-8
from paddlelite.lite import *
import cv2 as cv
import numpy as np
from matplotlib import pyplot as plt
from time import time
from PIL import Image
from PIL import ImageFont
from PIL import ImageDraw
from PIL import ImageEnhance
class PPYOLO_Detector(object):
def __init__(self, nb_path=None, #... | Feng1909/PPYOLO-Tiny | Tiny.py | Tiny.py | py | 10,384 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "numpy.ndarray",
"line_number": 84,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image.open",
"line_number": 92,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 92,
"usage_type": "name"
},
{
"api_name": "numpy.ndarray",
"line... |
31641438007 | import requests
from bs4 import BeautifulSoup
import category
site_url = 'https://books.toscrape.com/index.html' # global var
def save_all_categories(site_url):
"""
Save all data of the books
of the entire category (it handles pagination)
and for each site's category
"""
global links # reut... | o0nekov0o/OpenClassrooms_P2 | main.py | main.py | py | 1,351 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "category.save_one_category",
"line_number": 24,
"usage_type": "call"
}
] |
70295411304 | import torch.utils.data
from torch.utils.data import DataLoader
from torchvision import datasets
import torchvision.transforms as T
def load_cifar10():
train_data = datasets.CIFAR10(
root='../data',
train=True,
download=True,
transform=T.Compose([
T.ToTensor(),
... | simogiovannini/DLA-lab1 | utils/data_loader.py | data_loader.py | py | 1,311 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torchvision.datasets.CIFAR10",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torchvision.datasets",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.Compose",
"line_number": 12,
"usage_type": "call"
},
{
"ap... |
20456498612 | import discum
import json
import os.path
import random
import time
from rich import print
def load_from_data_else_ask(field, message):
global data
if data is not None and field in data.keys():
return data[field]
return input(message)
data = None
if os.path.exists("data.json"):
... | Apophis52/Python-Mass-DM-Selfbot | index.py | index.py | py | 2,499 | python | en | code | 21 | github-code | 36 | [
{
"api_name": "os.path.path.exists",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_... |
34338203362 | from p111 import Solution
from common.tree import buildTreeFromList
test_cases = [
([3,9,20,None,None,15,7], 2),
([2,None,3,None,4,None,5,None,6], 5),
([], 0),
]
def test_minDepth():
s = Solution()
for case in test_cases:
assert s.minDepth(buildTreeFromList(case[0])) == case[1], case
| 0x0400/LeetCode | p111_test.py | p111_test.py | py | 315 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "p111.Solution",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "common.tree.buildTreeFromList",
"line_number": 13,
"usage_type": "call"
}
] |
75310096425 | import random
import re
import socket
import uuid
from scapy.all import IP, TCP, wrpcap, Raw, Ether
from sys import version_info
if version_info.major == 2:
from BaseHTTPServer import BaseHTTPRequestHandler
from StringIO import StringIO
else:
from http.server import BaseHTTPRequestHandler
from io imp... | b40yd/security | http_text_to_pcap.py | http_text_to_pcap.py | py | 3,848 | python | en | code | 96 | github-code | 36 | [
{
"api_name": "sys.version_info.major",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sys.version_info",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "http.server.BaseHTTPRequestHandler",
"line_number": 18,
"usage_type": "name"
},
{
"a... |
12567632552 | import torch
from torch.utils.data import DataLoader
from torchvision import transforms, datasets
from torch import nn, optim
from ae import AE
import visdom
from vae import VAE
from torchvision import models
def main():
vis = visdom.Visdom()
tf = transforms.Compose([
transforms.ToTensor(), # 转换成ten... | wy171205/DeepLearning | AutoEncoder/main.py | main.py | py | 2,114 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "visdom.Visdom",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms.Compose",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "t... |
30981112855 | #!/usr/bin/python
# <bitbar.title>Stock Ticker</bitbar.title>
# <bitbar.version>1.0</bitbar.version>
# <bitbar.author>Robert Kanter</bitbar.author>
# <bitbar.author.github>rkanter</bitbar.author.github>
# <bitbar.desc>Provides a rotating stock ticker in your menu bar, with color and percentage changes</bitbar.desc>
# <... | damncabbage/dotfiles | macOS/BitBar/Plugins/Finance/stock-ticker.30s.py | stock-ticker.30s.py | py | 1,981 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "urllib2.urlopen",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 27,
"usage_type": "call"
}
] |
16155659298 | import json
import logging
import os
import re
from pathlib import Path
from cdi_forms.forms import BackgroundForm, BackpageBackgroundForm
from cdi_forms.models import BackgroundInfo, Instrument_Forms, Zipcode
from django.conf import settings
from django.http import Http404
from django.utils import translation
from re... | langcog/web-cdi | webcdi/cdi_forms/views/utils.py | utils.py | py | 13,035 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_nu... |
14152007415 | import requests
import json
import sys
from .ui import print_success
from requests.auth import HTTPBasicAuth
def find_github_emails(organization,organization_domain,github_api,github_username,github_token):
github_emails = []
print_success("[+] Searching GitHub")
page_number = 1
while page_number < 2:
orgquery ... | highmeh/lure | resources/github.py | github.py | py | 1,007 | python | en | code | 148 | github-code | 36 | [
{
"api_name": "ui.print_success",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.auth.HTTPBasicAuth",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.loads"... |
19989138110 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import gallery.models
class Migration(migrations.Migration):
dependencies = [
('gallery', '0004_exhibit'),
]
operations = [
migrations.AlterField(
model_name='exhibit',
... | andrewhead/Gallery-Paths | server/gallery/migrations/0005_auto_20141206_2124.py | 0005_auto_20141206_2124.py | py | 499 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AlterField",
"line_number": 15,
"usage_type": "call"
},
{... |
4134355956 | import pygame
import sys
import time
from RobotLib.Math import *
import math
import argparse
from RobotLib.FrontEnd import *
from RobotLib.IO import *
import numpy as np
class MyFrontEnd(FrontEnd):
""" Custom sub-class of FrontEnd
You can write custom sub-routines here to respond to UI events and calculat... | jeffherbst/sparki | template.py | template.py | py | 6,840 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pygame.key.get_pressed",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "pygame.key",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "pygame.K_UP",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "pygame.key.ge... |
2725915163 | from os import scandir, rename
from os.path import splitext, exists
from shutil import move
from time import sleep
import logging
from watchdog.observers import Observer
from watchdog.events import FileSystemEventHandler
src_path = "" #local path to folder
source_dir = src_path + "Downloads"
dest_dir_docs = src_path +... | zastasja/automate_stuff | moving_from_download.py | moving_from_download.py | py | 2,787 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.splitext",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.rename",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "shutil.move",
"line_num... |
20350466819 | try:
import json
except ImportError:
import simplejson as json
import requests
import pandas
import datetime
import time
# Please enter the file's path of the URLs to be checked
file_path = str(input('Please Enter The File Path: '))
input_CSV = pandas.read_csv(file_path)
Urls = input_CSV['Domain'].... | dorintu/VirusTotal | VirusTotal_Assignment.py | VirusTotal_Assignment.py | py | 3,484 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "pandas.r... |
10489171606 | # -*- coding: utf-8 -*-
from flask import Blueprint, Response, g
blueprint = Blueprint('property-tax-assessments-broken-model-scatterplots', __name__)
@blueprint.app_template_filter('get_length')
def get_length(thing):
return len(thing)
"""
Tarbell project configuration
"""
# Google spreadsheet key
SPREADSHEET... | ryanbmarx/cook-county-property-tax-broken-model | tarbell_config.py | tarbell_config.py | py | 1,937 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Blueprint",
"line_number": 5,
"usage_type": "call"
}
] |
24843377512 | ' Script to for association analysis of clusters. Created by S Brueningk 2023 '
import pandas as pd
import numpy as np
from IPython.core.display import display, Markdown
import os.path
from pathlib import Path
from sklearn.preprocessing import StandardScaler
import matplotlib.pyplot as plt
import statsmodels.api as sm... | BorgwardtLab/LongCOVID | associationClusters.py | associationClusters.py | py | 9,990 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.c_",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "statsmodels.api.Logit",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "statsmodels.api",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "numpy.c_",
"l... |
18573856316 | import numpy as np
import matplotlib.pyplot as plt
N = 50 # Nb of steps
dt = 0.01
kv = 0.1
tau = 0.05
lamb = 0
ns = 6
###############################
## Complete the code below ####
###############################
A = np.array([[1,0,dt,0,0,0],[0,1,0,dt,0,0],[0,0,1-kv*dt,0,dt,0],[0,0,0,1-kv*dt,0,dt],... | decomiteA/ReachRLToolbox | OFC_2D/OFC2D_Reaching.py | OFC2D_Reaching.py | py | 3,838 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.array",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": ... |
2358896940 | """empty message
Revision ID: bc7b1dd477a1
Revises: d7ad318a76d9
Create Date: 2021-08-24 19:22:40.497985
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'bc7b1dd477a1'
down_revision = 'd7ad318a76d9'
branch_labels = None
depends_on = None
def upgrade():
# ... | nickcao123456/blog | migrations/versions/bc7b1dd477a1_.py | bc7b1dd477a1_.py | py | 788 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "alembic.op.add_column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer... |
3954152863 | from PIL import Image
img = Image.open("PDI/folha.png").convert('L')
adj = 8 # 4 para adj-8, 8 para adj-m
visited = [[False for col in range(img.height)] for row in range(img.width)]
dx = [0, 0, 1, -1, 1, 1, -1, -1]
dy = [1, -1, 0, 0, 1, -1, 1, -1]
def isEdge(x, y):
for i in range(adj):
if(img.... | Pedroffda/Digital-Image-Processing | Pratica-01/code/adj_border.py | adj_border.py | py | 1,417 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "PIL.Image.open",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 3,
"usage_type": "name"
}
] |
14032964317 | from django.http import JsonResponse, HttpResponse
from .models import Template, Field
import re
from .utils import check_db
def post(request):
check_db()
form = type_form(request.GET)
name = ""
for name_f, val in form.items():
res = Field.objects.filter(name_field=name_f, type_field=val).valu... | krlns/forms_template | test_task/app/views.py | views.py | py | 924 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "utils.check_db",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "models.Field.objects.filter",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "models.Field.objects",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "m... |
25107350000 | from OpenGL.GL import *
from Masks import *
from ObjectLoader import ObjectLoader
from Model import Model
from Shaders.ColoredObjectShader import ColoredObjectShader
import pyrr
class MazeCore:
def __init__(self, shader : ColoredObjectShader):
# self.transparentShader = TransparentShader()
# ... | VolodymyrVakhniuk/Pacman | src/Core/MazeCore.py | MazeCore.py | py | 1,878 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "Shaders.ColoredObjectShader.ColoredObjectShader",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "Shaders.ColoredObjectShader.ColoredObjectShader",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "ObjectLoader.ObjectLoader",
"line_number": 22... |
17849581957 | from .config import np, Vector, Keyword, ParameterName, ZOrderConfig, TextConfig, HorizontalAlignment, \
VerticalAlignment, ColorConfig
from .config import BentChevronArrow, ChevronArrow, CompositeFigure, Rectangle, TextBox, RoundRectangle
from .config import MIDDiagram, NetworkDiagram, CulturedCell, Mice, Human, C... | LocasaleLab/Automated-MFA-2023 | figures/figure_plotting/figure_elements/diagrams/diagrams/noisy_data_diagram.py | noisy_data_diagram.py | py | 10,532 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "config.CommonElementConfig.normal_document_size",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "config.CommonElementConfig",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "config.CommonElementConfig.text_z_order",
"line_number": 12,
... |
18521700070 | import pandas as pd
import pickle
import numpy as np
from tqdm import tqdm
import os, sys, inspect
from collections import defaultdict
from processing_utils import make_aggregate_df, make_yearly_df, make_class_df, make_df_by_decade, make_parent_df
MIN_FREQ = 20
# folders for reading and writing data
raw_data_folder = ... | benpry/gender-associations-child-language | code/bootstrap/bootstrap_aggregate_yearly.py | bootstrap_aggregate_yearly.py | py | 3,396 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.random.seed",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "pickle.load",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"li... |
39479742836 | # -*- coding: utf-8 -*-
from django.urls import path, re_path, include
from decks import views
from decks.views import TournamentListView
urlpatterns = [
re_path(r'^$', views.index, name='index'),
re_path(r'^(?P<deck_id>[0-9]+)/$', views.deck, name='deck'),
re_path(r'^cluster/(?P<cluster_id>[0-9]+)/$', v... | jcrickmer/mtgdbpy | decks/urls.py | urls.py | py | 1,036 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.urls.re_path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "decks.views.index",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "decks.views",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.urls.re_pa... |
28924497501 |
"""
프로그래머스 Lv2 -뉴스 클러스터링
"""
# 아이디어가 맘에 들었음!@
"""
20 Minute :: flood fill
"""
from collections import Counter
import math
def make_window_size2(string):
windows = []
for i in range(len(string)-1):
if string[i].isalpha() and string[i+1].isalpha():
windows.append(string[i:i+2].lower())
... | GuSangmo/BOJ_practice | programmers/level2/뉴스클러스터링.py | 뉴스클러스터링.py | py | 1,199 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.Counter",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "math.floor",
"line_number": 44,
"usage_type": "call"
}
] |
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