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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
9388340974 | """Functions and constants used in several modules of the gtphipsi package.
This module exports the following functions:
- get_name_from_badge (badge)
- get_all_big_bro_choices ()
- create_user_and_profile (form_data)
- log_page_view (request, name)
This module exports the following constant definitio... | will2dye4/gtphipsi | common.py | common.py | py | 5,867 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "gtphipsi.brothers.bootstrap.INITIAL_BROTHER_LIST",
"line_number": 31,
"usage_type": "argument"
},
{
"api_name": "gtphipsi.brothers.bootstrap.INITIAL_BROTHER_LIST",
"line_number": 36,
... |
27391300473 | # flake8: NOQA;
import os
import sys
from collections.abc import Generator
import pytest
from fastapi import FastAPI
from fastapi.testclient import TestClient
current: str = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
sys.path.append(os.path.join(current, "src"))
from database import Database
from ... | ebysofyan/dcentric-health-hometest | chatroom-backend/tests/conftest.py | conftest.py | py | 868 | python | en | code | 0 | github-code | 6 | [
{
"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.realpath",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"... |
73111312187 | from langchain.document_loaders import TextLoader
from langchain.text_splitter import CharacterTextSplitter, NLTKTextSplitter
import glob
import os
from transformers import AutoModel, AutoTokenizer
from dotenv import load_dotenv
from langchain.embeddings import HuggingFaceEmbeddings
from langchain.vectorstores import C... | shaunxu/try-langchain | injest.py | injest.py | py | 1,703 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
... |
73798071227 | from django.core.paginator import EmptyPage, PageNotAnInteger, Paginator
from django.http import HttpResponse, HttpResponseRedirect, QueryDict
from django.core.serializers.json import DjangoJSONEncoder
from django.contrib.auth import authenticate, login, logout
from django.views.generic import View, TemplateView
from d... | alfonsoolavarria/cm | maracay/views.py | views.py | py | 34,284 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.views.generic.TemplateView",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.render",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "django.views.generic.TemplateView",
"line_number": 36,
"usage_type": "name"
}... |
6713641650 | """
Utilities for dictionaries of xy tuple values.
"""
from __future__ import print_function, division
import random
from collections import defaultdict
def center(pos, dimensions):
x = [p[0] for p in pos.values()]
y = [p[1] for p in pos.values()]
minx, maxx = min(x), max(x)
miny, maxy = min(y), max(y... | joel-simon/evo_floorplans | floor_plans/pos_utils.py | pos_utils.py | py | 1,635 | python | en | code | 84 | github-code | 6 | [
{
"api_name": "random.seed",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_number": 30,
"usage_type": "attribute"
}
] |
7781848764 | import imutils
import cv2
import numpy as np
class DistanceCalculator:
def __init__(self, distance_ref, width_ref, pixels):
self.distance_ref = distance_ref
self.width_ref = width_ref
self.focal_ref = (pixels*distance_ref)/width_ref
def find_object(self, original):
"""
... | tarekbrahmi/Open-cv-project | MyProjects/distance-calculator/example2/DistanceCalculator.py | DistanceCalculator.py | py | 1,870 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.cvtColor",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "cv2.GaussianBlur",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "cv2.Canny",
... |
7711698828 | from PyPDF2 import PdfReader
def get_pdf_text(pdfs):
"""
Get the pdf and extract the text content
Parameters:
pdf_docs (pdf) : all the pdfs
Returns:
string : returns text from the pdfs
"""
text = ""
for pdf in pdfs:
pdf_reader = PdfReader(pdf)
for page in pdf... | arunavabasu-03/PDFAssist | src/helpers/getPdf.py | getPdf.py | py | 399 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PyPDF2.PdfReader",
"line_number": 17,
"usage_type": "call"
}
] |
73016495228 | from tkinter import *
from tkinter import ttk
import sqlite3
import time
#--------------------------------------
# DEFININDO MODULO HORA E DATA
#--------------------------------------
time = time.localtime()
hour = ('{}:{}'.format(time[3], time[4]))
date = ('{}/{}/{}'.format(time[0], time[1], time[2]))
#---------... | S4UDeveloper/MDI | DB/Database.py | Database.py | py | 5,792 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "time.localtime",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "tkinter.ttk.Treeview",
"line_number": 171,
"usage_type": "call"
},
{
"api_name": "tkinter.ttk",
... |
25687922492 | import astroid
from hypothesis import assume, given, settings, HealthCheck
from .. import custom_hypothesis_support as cs
from typing import Any, Dict, List, Set, Tuple
settings.load_profile("pyta")
@given(cs.subscript_node())
@settings(suppress_health_check=[HealthCheck.too_slow])
def test_index(node):
module, ... | ihasan98/pyta | tests/test_type_inference/test_literals.py | test_literals.py | py | 772 | python | en | code | null | github-code | 6 | [
{
"api_name": "hypothesis.settings.load_profile",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "hypothesis.settings",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "astroid.Index",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": ... |
34714688235 | import argparse
import torch
import torch.utils.data
import src.utils as utils
from src.utils import alphabet
from src.utils import strLabelConverterForAttention as converter
import src.dataset as dataset
import model
parser = argparse.ArgumentParser()
parser.add_argument('--testList', default='label/test_label.txt')... | WANGPeisheng1997/HandwrittenTextRecognition | cnn+lstm+attention/test.py | test.py | py | 5,492 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.cuda.set_device",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "torch.u... |
12918395650 | #!/usr/bin/env python3
""" Import build-in and custom modules to check system utilization and connection"""
import shutil
import psutil
import network
site_name = "http://www.google.com"
# Verifies that there's enough free space on disk.
def check_disk_usage(disk):
du = shutil.disk_usage(disk)
free = du.free /... | TyapinIA/Coursera_Google_IT_Automation_with_Python | psutil_shutil/health_check.py | health_check.py | py | 803 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "shutil.disk_usage",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "psutil.cpu_percent",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "network.check_localhost",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "network.... |
35069305556 | from enum import unique
from flask_sqlalchemy import SQLAlchemy
from .utils import utcnow
db = SQLAlchemy()
class Home(db.Model):
__tablename__ = "home"
id = db.Column(db.Integer, primary_key=True)
title = db.Column(db.String(120), unique=False, nullable=False)
content = db.Column(db.String(250), uniq... | jgustavoj/midwestern-project | src/api/models.py | models.py | py | 1,995 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "utils.utcnow",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "utils.utcnow",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "utils.utcnow",
... |
37663232255 | # -*- coding: utf-8 -*-
"""
Created on Sat Feb 13 02:55:11 2021
@author: Anato
"""
from pathlib import Path
source_path = Path(__file__).resolve()
source_dir = source_path.parent
main_dir = str(source_dir.parent)
info_dir = main_dir + '/info/'
def open_info(file_name, mode):
return open(info_dir + file_name + ... | Anatoly7/codeforces-spider | tutorial/spiders/codeforces_spider.py | codeforces_spider.py | py | 1,714 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "scrapy.Spider",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Request",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "urllib.parse.urljoin",... |
26416473947 | # -*- coding: UTF-8 -*-
from flask import Flask
from flask import request
from flask import json
import requests
app = Flask(__name__)
# http://blog.luisrei.com/articles/flaskrest.html
@app.route('/oslh2b', methods=['POST'])
def oslh2b():
if request.method == 'POST':
json_headers = request.headers
... | elmanytas/osl-computer | ansible-flask/roles/flaskapp/files/flaskapp/flaskapp/__init__.py | __init__.py | py | 12,045 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "flask.request.head... |
24796364963 | from __future__ import division
import os
import re
import sys
import struct
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import numpy as np
def load(fname):
color = None
width = None
height = None
scale = None
endian = None
file = open(fname)
header = file.readline().rstrip()
i... | kbatsos/CBMV | pylibs/pfmutil.py | pfmutil.py | py | 1,781 | python | en | code | 52 | github-code | 6 | [
{
"api_name": "re.match",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.fromfile",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.flipud",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "numpy.reshape",
"line_number... |
4669072111 | from Bio.Seq import Seq
def get_pattern_count(text, pattern):
seq = Seq(text)
return seq.count_overlap(pattern)
with open('rosalind_ba1e.txt') as file:
genome = file.readline().rstrip()
k, l, t = map(lambda x: int(x), file.readline().rstrip().split(' '))
genome_len = len(genome)
clump = []
for i ... | Partha-Sarker/Rosalind-Problems | Lab Assignment - 1/chapter 1/ba1e Find Patterns Forming Clumps in a String.py | ba1e Find Patterns Forming Clumps in a String.py | py | 802 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "Bio.Seq.Seq",
"line_number": 5,
"usage_type": "call"
}
] |
3977389831 | import psycopg2
import csv
from db.create_connection import create_connection as create_connection
def import_menu_from_csv():
conn = create_connection()
cursor = conn.cursor()
with open("menu.csv", mode="r", encoding="utf-8") as csv_file:
csv_reader = csv.DictReader(csv_file)
... | Tolik1923/restaurantordertaker | Back-end/db/exsport_menu.py | exsport_menu.py | py | 1,024 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "db.create_connection.create_connection",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "csv.DictReader",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "db.create_connection.create_connection",
"line_number": 23,
"usage_type": "call"
}... |
30950783677 | import numpy as np
import sys
import matplotlib.pyplot as plt
sys.path.append('../../analysis_scripts')
from dumpfile import DumpFile
from pickle_dump import save_obj, load_obj
from spatialcorrelations import calculate_items
if __name__ == "__main__":
rho = sys.argv[1]
fps = np.array([0])#,1,5,10,20,4... | samueljmcameron/ABPs_coarse_graining | experiments/2020_03_19/correlations/plot_correlations.py | plot_correlations.py | py | 686 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_num... |
25692788695 | # !/urs/bin/env python3
# -*- coding: utf-8 -*-
"""
Project: LAGOU Spider
@author: Troy
@email: ots239ltfok@gmail.com
"""
# 项目构架:
# p1: 依据搜索关键词 城市 职业, 爬取索引页, 解析并获取相关岗位url接连
# p2: 解析url链接, 获取数据
# p3: 存储到MongoDB
# 技术路径: requests urllib json re pq pymongo
import requests
from requests.exceptions import ConnectionError... | Troysps/spider | lagou/spider.py | spider.py | py | 6,376 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "urllib.parse.urlencode",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "urllib.parse",
"line_number": 59,
"usage_type": "attribute"
},
{
"api_name": "requests... |
17657067303 | from tkinter import *
import pygame
from tkinter import filedialog
import time
from mutagen.mp3 import MP3
import random
from AudioFile import AudioFile, Song, Podcast
from Exceptions import *
from Playlist import Playlist
from Artist import Artist
from User import User
from LastFmConnection import LastFmC... | ydamirkol/music-player | play mode3.py | play mode3.py | py | 13,889 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.mixer.init",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "pygame.mixer",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "AudioFile.Song",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "AudioFile.Song",
... |
69900225789 | import enum
from PySide2 import QtCore
from PySide2.QtCore import QPoint
from PySide2.QtGui import QColor, QFont, QFontDatabase
from PySide2.QtWidgets import QGraphicsSceneMouseEvent, QGraphicsItem
class NodeState(enum.Enum):
normal = 0
used = 1
highlight = 2
class Node(QGraphicsItem):
Type = QGrap... | JIuH4/KB_V2 | ui_elements/graph_items/node.py | node.py | py | 2,560 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "enum.Enum",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "PySide2.QtWidgets.QGraphicsItem",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "PySide2.QtWidgets.QGraphicsItem.UserType",
"line_number": 16,
"usage_type": "attribute"
}... |
8773605987 | import streamlit as st
from utils import get_modelpaths
from Scripts.video_processor import webcam_input
def main():
model_list = ["AnimeGANv2_Hayao","AnimeGANv2_Shinka","AnimeGANv2_Paprika"]
st.title("Real-time Anime to Anime Converter")
model_name = st.selectbox("Select model name", model_list)
mod... | avhishekpandey/RealTime_video-to-anime | app.py | app.py | py | 427 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "streamlit.title",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "streamlit.selectbox",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "utils.get_modelpaths",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "Scripts.video... |
21325562870 | import pytest
from pysyncgateway import Database, Query
@pytest.fixture
def database(admin_client):
"""
Returns:
Database: 'db' database written to Sync Gateway.
"""
database = Database(admin_client, 'db')
database.create()
return database
@pytest.fixture
def query(database):
""... | constructpm/pysyncgateway | tests/query/conftest.py | conftest.py | py | 3,136 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pysyncgateway.Database",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pysyncgateway.Query",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pytest.... |
44701138323 | import os
import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import matplotlib.gridspec as gridspec
def plot(samples):
x_dim=samples.shape[1]
color=samples.shape[3]
fig = plt.figure(figsize=(4, 4))
gs = gridspec.GridSpec(4, 4)
gs.update(wspa... | adityagarg/improvedWGANs | utils.py | utils.py | py | 2,488 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "matplotlib.gridspec.GridSpec",
"line_number": 13,
"usage_type": "call"
},
{
"api_name"... |
74055844987 | import torch
import torch.nn as nn
import numpy as np
import torch.nn.functional as F
from collections import namedtuple
from .set2set import Set2Vec
ReadoutConfig = namedtuple(
'ReadoutConfig', [
'hidden_dim',
'readout_hidden_dim',
'mode',
'target_dim',
... | isaachenrion/gcn | models/mpnn/readout/readout.py | readout.py | py | 3,763 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.namedtuple",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "torch.nn.LeakyReL... |
22755470032 | from collections import namedtuple
import time
from .utils import (
client_array_operation,
make_valid_data,
create_host_urn,
create_resource_arn,
create_hash,
set_required_access_v2,
transformation,
ipaddress_to_urn
)
from .registry import RegisteredResourceCollector
from schematics imp... | StackVista/stackstate-agent-integrations | aws_topology/stackstate_checks/aws_topology/resources/ec2.py | ec2.py | py | 14,997 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "collections.namedtuple",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "schematics.Model",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "schematics.types.StringType",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "s... |
28194386524 | from __future__ import print_function, division
import os
import time
import random
import numpy as np
from base import BaseModel
from replay_memory import ReplayMemory
from utils import save_pkl, load_pkl
import tensorflow as tf
import matplotlib.pyplot as plt
class Agent(BaseModel):
def __init__(self, config, e... | BandaidZ/OptimizationofSEandEEBasedonDRL | agent.py | agent.py | py | 18,757 | python | en | code | 13 | github-code | 6 | [
{
"api_name": "base.BaseModel",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "time.strftime",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "time.localtime",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_num... |
5272336888 | import gradio as gr
import pytesseract
from langchain import PromptTemplate
from langchain.chains import RetrievalQA
from langchain.chat_models import ChatOpenAI
from langchain.embeddings import OpenAIEmbeddings
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain.vectorstores import Chroma... | motomk/pdf_gpt | main.py | main.py | py | 2,156 | python | ja | code | 0 | github-code | 6 | [
{
"api_name": "langchain.PromptTemplate",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pdf2image.convert_from_path",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pytesseract.image_to_string",
"line_number": 29,
"usage_type": "call"
},
{
"... |
24143273312 | from selenium.webdriver import Chrome,ChromeOptions
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
import xlsxwriter
opts = ChromeOptions()
opts.add_experimental_option("detach", True)
driver = Chrome(chrome_options=opts)
driver.get("https://google.com")
driver.maximize_... | keremguzel/selenium-excel-import | main.py | main.py | py | 2,595 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.common.by.By.CLASS_NAME",
"line_number": 15,
"usage_type": "a... |
17034031092 | # ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distrib... | satishgoda/fluid-designer-scripts | scripts/startup/fluid_ui/space_fluid_view3d_tools.py | space_fluid_view3d_tools.py | py | 7,224 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "bpy.types.Panel",
"line_number": 69,
"usage_type": "name"
},
{
"api_name": "bpy.types.Panel",
"line_number": 113,
"usage_type": "name"
},
{
"api_name": "fd_datablocks.const.icon_world",
"line_number": 125,
"usage_type": "attribute"
},
{
"api_name": ... |
34373278865 | import os
from unittest import TestCase
import jinja2
from apply.issue.issure_js_auto_code.db_util import res_to_dict
from config.db_conf import localhost_oa_engine
from util.str_util import to_lower_camel, to_snake, to_upper_camel
class Form:
@staticmethod
def get_tables(db):
sql = "select TABLE_N... | QQ1134614268/PythonTemplate | src/apply/issue/issure_js_auto_code/js_auto_code_v0.py | js_auto_code_v0.py | py | 3,508 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "config.db_conf.localhost_oa_engine.execute",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "config.db_conf.localhost_oa_engine",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "apply.issue.issure_js_auto_code.db_util.res_to_dict",
"line_num... |
32585270834 | import cv2
import numpy as np
from .base import BaseTask
class BlurAndPHash(BaseTask):
def __init__(self):
super().__init__(taskID=4, taskName='BlurAndPHash')
self.thresholdLaplacian = 120
self.thresholdDiffStop = 120
self.thresholdDiffPre = 25
self.hashLen = 32
se... | Cloudslab/FogBus2 | containers/taskExecutor/sources/utils/taskExecutor/tasks/blurAndPHash.py | blurAndPHash.py | py | 2,292 | python | en | code | 17 | github-code | 6 | [
{
"api_name": "base.BaseTask",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "cv2.Laplacian",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "cv2.CV_64F",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "cv2.resize",
"line_num... |
58242642 | try:
from zohocrmsdk.src.com.zoho.crm.api.exception import SDKException
from zohocrmsdk.src.com.zoho.crm.api.util import Constants
except Exception:
from ..exception import SDKException
from ..util import Constants
class Backup(object):
def __init__(self):
"""Creates an instance of Backup"""
self.__rrule = ... | zoho/zohocrm-python-sdk-5.0 | zohocrmsdk/src/com/zoho/crm/api/backup/backup.py | backup.py | py | 4,949 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "exception.SDKException",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "util.Constants.DATA_TYPE_ERROR",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "util.Constants",
"line_number": 40,
"usage_type": "name"
},
{
"api_nam... |
3831338977 | # encoding=utf-8
import logging
import logging.config
import os
import sys
import time
import traceback
import datetime
def init_log(name='root'):
path = os.path.dirname(__file__)
config_file = path + os.sep + 'logger.conf'
log_path = os.path.join(os.path.abspath(__file__ + ('/..' * 3)), 'zz_logs')
i... | charliedream1/ai_quant_trade | tools/log/log_util.py | log_util.py | py | 3,053 | python | en | code | 710 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.sep",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_num... |
45413329386 | import os
import pathlib
import pandas as pd
import keyring
import dropbox
from dropbox.exceptions import AuthError
# Directory
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
dropbox_home = "https://www.dropbox.com/home/"
dropbox_app = "MAD_WahooToGarmin"
dropbox_app_dir = "/Apps/WahooFitness/"
DROPBOX_ACCESS_... | michaeladavis10/WahooToGarmin | dropbox_utils.py | dropbox_utils.py | py | 2,994 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "keyring.get_password",
... |
29685980647 | import re
import pep8
import six
"""
Guidelines for writing new hacking checks
- Use only for Octavia specific tests. OpenStack general tests
should be submitted to the common 'hacking' module.
- Pick numbers in the range O3xx. Find the current test with
the highest allocated number and then pick the next va... | BeaconFramework/Distributor | octavia/hacking/checks.py | checks.py | py | 7,161 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "re.compile",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "six.iteritems",
"line_number": 3... |
42399945606 | """empty message
Revision ID: a5cfe890710d
Revises: 7352c721e0a4
Create Date: 2023-05-28 16:47:42.177222
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'a5cfe890710d'
down_revision = '7352c721e0a4'
branch_labels = None
depends_on = None
def upgrade():
# ... | RBird111/capstone-yelp-clone | migrations/versions/20230528_164742_.py | 20230528_164742_.py | py | 1,132 | python | en | code | 1 | github-code | 6 | [
{
"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": "alembic.op.batch_alter_table",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "... |
32166211761 | import requests
from bs4 import BeautifulSoup
import json
def get_description(url):
response = requests.get(url)
if response is not None:
soup = BeautifulSoup(response.text, 'html.parser')
description = {}
l1 = []
l2 = []
for item in soup.find_all("span", class_="adPage__content__fea... | Drkiller325/PR_Lab2 | homework.py | homework.py | py | 1,157 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 45,
"usage_type": "call"
}
] |
7437025622 | """Module containing class `UntagClipsCommand`."""
import logging
import random
import time
from django.db import transaction
from vesper.command.clip_set_command import ClipSetCommand
from vesper.django.app.models import Job, Tag, TagEdit, TagInfo
import vesper.command.command_utils as command_utils
import vesper.... | HaroldMills/Vesper | vesper/command/tag_clips_command.py | tag_clips_command.py | py | 7,835 | python | en | code | 47 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "vesper.command.clip_set_command.ClipSetCommand",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "vesper.command.command_utils.get_optional_arg",
"line_number": 32,
"usag... |
38368937564 | import string, itertools
ascii_lowercases = list(string.ascii_lowercase)
MAX_WORD_LENGTH = 5
for i in range(1, MAX_WORD_LENGTH + 1):
charlist = [[x for x in ascii_lowercases]] * i
for combinations in itertools.product(*charlist):
combinations = "".join(combinations)
with open("../wordlist.tx... | 1LCB/hash-cracker | complement/wordlist generator.py | wordlist generator.py | py | 407 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "string.ascii_lowercase",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "itertools.product",
"line_number": 10,
"usage_type": "call"
}
] |
30804267516 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.linear_model import LinearRegression
if __name__ == '__main__':
# 将csv数据读取为pandas对象
fund = pd.read_csv('./csv/001112.csv', dtype={'fcode': str})
# 转化时间字符串为时间
fund['fdate'] = pd.to_datetime(fund['fdate'])
#... | bobchi/learn_py | 23.py | 23.py | py | 1,416 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.int64",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "sklearn.linear_mod... |
43447079150 |
import sys, re
from argparse import ArgumentParser #import the library
parser = ArgumentParser(description = 'Classify a sequence as DNA or RNA') #create one ArgumentParser
parser.add_argument("-s", "--seq", type = str, required = True, help = "Input sequence") #add the first argument
parser.add_argument("-m", "--mot... | stepsnap/git_HandsOn | seqClass.py | seqClass.py | py | 1,881 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_num... |
23682024390 | import datetime
def rest_sec_of_day():
"""
:return: 截止到目前当日剩余时间
"""
today = datetime.datetime.strptime(str(datetime.date.today()), "%Y-%m-%d")
tomorrow = today + datetime.timedelta(days=1)
nowTime = datetime.datetime.now()
return (tomorrow - nowTime).seconds # 获取秒
| peacefulyin/gh | BackEnd/util/common.py | common.py | py | 339 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "datetime.date.today",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "da... |
8670124375 | import pandas as pd
import pickle
df=pd.read_csv(r'C:/Users/SAIDHANUSH/spam-ham.csv')
df['Category'].replace('spam',0,inplace=True)
df['Category'].replace('ham',1,inplace=True)
x=df['Message']
y=df['Category']
from sklearn.feature_extraction.text import CountVectorizer
cv=CountVectorizer()
x=cv.fit_tra... | dhanush77777/spam-messages-classification-app | nlp_model.py | nlp_model.py | py | 770 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_extraction.text.CountVectorizer",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pickle.dump",
"line_number": 16,
"usage_type": "call"
},
{
"api_na... |
40411312041 | #!/usr/bin/env python3
"""
Name: bgp_neighbor_prefix_received.py
Description: NXAPI: display bgp neighbor summary info
"""
our_version = 109
script_name = "bgp_neighbor_prefix_received"
# standard libraries
import argparse
from concurrent.futures import ThreadPoolExecutor
# local libraries
from nxapi_netbox.args.args_... | allenrobel/nxapi-netbox | scripts/bgp_neighbor_prefix_received.py | bgp_neighbor_prefix_received.py | py | 4,416 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "nxapi_netbox.args.args_cookie.ArgsCookie",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "nxapi_netbox.args.args_nxapi_tools.ArgsNxapiTools",
"line_number": 35,
"... |
26189029070 | import datetime
import table
import restaurant
class Restaurant:
def __init__(self):
self.tables = []
self.name = "Restaurant Dingo"
for i in range(8):
self.tables.append(table.Table(i))
def get_tables(self):
return self.tables
def print_tables(self):
for i in range(8):... | jemmajh/Reservation_system_Y2 | restaurant.py | restaurant.py | py | 560 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "table.Table",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 20,
"usage_type": "attribute"
}
] |
40033463881 | import json
from pathlib import Path
import numpy as np
import torch
import torch.utils.data
from PIL import Image
from panopticapi.utils import rgb2id
from utils.utils import masks_to_boxes
from dataset.utils import make_coco_transforms
city2int = {
"aachen": 0,
"bremen": 1,
"darmstadt": 2,
"erfurt"... | adilsammar/detr-fine | archived/dataset/cts_dataset.py | cts_dataset.py | py | 5,196 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number... |
17466316782 | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
# File: cifar-convnet.py
# Author: Yuxin Wu <ppwwyyxxc@gmail.com>
import tensorflow as tf
import argparse
import numpy as np
import os
from tensorpack import *
import tensorpack.tfutils.symbolic_functions as symbf
from tensorpack.tfutils.summary import *
from tensorpack.ut... | jxwufan/NLOR_A3C | tensorpack/examples/cifar-convnet.py | cifar-convnet.py | py | 5,549 | python | en | code | 16 | github-code | 6 | [
{
"api_name": "tensorflow.float32",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.int32",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.constant",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "ten... |
20894068105 | import cv2
import math
import monta
import numpy as np
import matcompat
from scipy import signal
import matplotlib.pyplot as plt
lammbda=6
pi = math.pi
theta = np.arange(0, (np.pi-np.pi/8)+(np.pi/8), np.pi/8)
psi = 0
gamma = np.linspace(.4,1,4)
gamma = np.arange(.4, 1.2, .2)
b = 4
sigma = (1/pi)*math.sqrt((math.log(2)... | ErickJuarez/AtencionSelectiva | Python/main.py | main.py | py | 2,566 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "math.pi",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.arange",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "numpy.linspace",
"line_nu... |
36030730386 | """Timezones lookup."""
import concurrent.futures
import os
import shutil
import subprocess
import sys
import time
import traceback
from datetime import datetime
from multiprocessing import cpu_count
from pathlib import Path
import pytz
import requests
import tzlocal
from fuzzywuzzy import process
import pycountry
i... | ppablocruzcobas/Dotfiles | albert/timezones/__init__.py | __init__.py | py | 7,290 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "albert.cacheLocation",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"li... |
15917643475 | from django.shortcuts import render, redirect, get_object_or_404
from django.shortcuts import render, get_object_or_404
from .models import *
from .forms import *
from .models import Product
from .forms import ProductUpdateForm
from .models import Category
from django.http import JsonResponse
# libraries for Im... | elumes446/Store-Management-System | Store Managment System/main/views.py | views.py | py | 7,245 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "models.Category.objects.all",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "models.Category.objects",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "models.Category",
"line_number": 25,
"usage_type": "name"
},
{
"api_name... |
34228406110 | from pymongo.collection import Collection
from bson.objectid import ObjectId
def insert_object(obj: dict, collection: Collection):
"""Вставка объекта в коллекцию"""
obj['fields'] = list(obj['fields'].items())
return collection.insert_one(obj).inserted_id
def delete_object(object_id: str, collection: Col... | AKovalyuk/test-task | app/db/crud.py | crud.py | py | 1,341 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "pymongo.collection.Collection",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "pymongo.collection.Collection",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "bson.objectid.ObjectId",
"line_number": 13,
"usage_type": "call"
},
{
... |
7985866436 | import numpy as np
import cv2
import time
def my_padding(src, filter):
(h, w) = src.shape
if isinstance(filter, tuple):
(h_pad, w_pad) = filter
else:
(h_pad, w_pad) = filter.shape
h_pad = h_pad // 2
w_pad = w_pad // 2
padding_img = np.zeros((h+h_pad*2, w+w_pad*2))
... | 201402414/CG | [CG]201402414_장수훈_5주차_과제/[CG]201402414_장수훈_5주차_과제/integral_image_report.py | integral_image_report.py | py | 8,317 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.zeros",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 47,
... |
37055851732 | from unittest.runner import TextTestRunner
import urllib.request
import unittest
from typing import TypeVar, Callable, List
T = TypeVar('T')
S = TypeVar('S')
#################################################################################
# EXERCISE 1
#################################################################... | saronson/cs331-s21-jmallett2 | lab03/lab03.py | lab03.py | py | 8,672 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "typing.TypeVar",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "typing.TypeVar",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.Callable",
"line_n... |
39441402911 | from mlearn import base
from functools import reduce
from datetime import datetime
from mlearn.data.dataset import GeneralDataset
from mlearn.data.batching import Batch, BatchExtractor
from sklearn.feature_extraction import DictVectorizer
from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer
de... | zeeraktalat/mlearn | mlearn/utils/pipeline.py | pipeline.py | py | 2,898 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "mlearn.data.dataset.GeneralDataset",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "mlearn.base.DataType",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "mlearn.base",
"line_number": 10,
"usage_type": "name"
},
{
"api_name... |
34196938558 | #!/user/bin/env python
# -*- coding:utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
import h5py
#一个HDF5文件就是一个容器，用于储存两类对象：datasets，类似于数组的数据集合；groups，类似于文件夹的容器，可以储存datasets和其它groups。
from lr_utils import load_dataset
train_set_x_orig , train_set_y , test_set_x_orig , test_set_y , classes = load_dataset()
# i... | CheQiXiao/cfair | fc_net.py | fc_net.py | py | 11,968 | python | zh | code | 0 | github-code | 6 | [
{
"api_name": "lr_utils.load_dataset",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_numb... |
74377247228 | '''
@Author: Never
@Date: 2020-06-13 11:02:05
@Description:
@LastEditTime: 2020-07-14 15:20:19
@LastEditors: Never
'''
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2020/4/27 19:47
# @Author : Shark
# @Site :
# @File : lepin1.py
# @Software: PyCharm
import csv
import requests
import json
import ... | gitxzq/py | lepin1.py | lepin1.py | py | 2,131 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "time.time",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "time.localtime",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number"... |
41211987806 | import matplotlib.pyplot as plt
import librosa
import librosa.display
import os
import torch
from torch.distributions.beta import Beta
import numpy as np
from pytorch_lightning.callbacks import Callback
import torch.nn as nn
from einops import rearrange
from tqdm import tqdm
from helpers import nessi
image_folder = "... | CPJKU/cpjku_dcase22 | helpers/utils.py | utils.py | py | 4,903 | python | en | code | 18 | github-code | 6 | [
{
"api_name": "os.makedirs",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pytorch_lightning.callbacks.Callback",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "helpers.nessi.get_model_size",
"line_number": 35,
"usage_type": "call"
},
{
"api... |
21672470765 | #!/usr/bin/python
#coding:utf-8
"""
Author: Andy Tian
Contact: tianjunning@126.com
Software: PyCharm
Filename: get_heatMap_html.py
Time: 2019/2/21 10:51
"""
import requests
import re
def get_html():
'''
获取百度热力图demo的源代码
:return: h5代码
'''
url = "http://lbsyun.baidu.com/jsdemo/demo/c1_15.htm"
he... | tianzheyiran/HeatMap | get_heatMap_html.py | get_heatMap_html.py | py | 2,229 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 47,
"usage_type": "call"
}
] |
35347629144 | import json
with open('mahasiswa.json', 'r') as file:
a = json.load(file)
b = dict()
c = int(input("Masukkan Jumkah Mahasiswa baru : "))
for i in range(c):
nm = input("Masukkan nama anda: ")
hb = []
untuk_hobi = int(input("Masukkan jumlah hobi: "))
for j ... | TIRSA30/strukdat_04_71210700 | ug4.py | ug4.py | py | 705 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 27,
"usage_type": "call"
}
] |
20914243110 | """added columns to Places
Revision ID: cba44d27f422
Revises: 061ea741f852
Create Date: 2023-06-28 15:56:11.475592
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'cba44d27f422'
down_revision = '061ea741f852'
branch_labels = None
depends_on = None
def upgrade... | choihalim/halfway | server/migrations/versions/cba44d27f422_added_columns_to_places.py | cba44d27f422_added_columns_to_places.py | py | 1,294 | python | en | code | 0 | github-code | 6 | [
{
"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.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.... |
74693961467 | import torch
import time
import torch.nn.functional as F
def train(model, device, train_loader, optimizer, epoch): # 训练模型
model.train()
best_acc = 0.0
for batch_idx, (x1, x2, x3, y) in enumerate(train_loader):
start_time = time.time()
x1, x2, x3, y = x1.to(device), x2.to(device), x3.to(d... | Huasheng-hou/r2-nlp | src/utils.py | utils.py | py | 2,866 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "time.time",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional.cross_entropy",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "torch... |
19274830613 | #!/usr/bin/env python
'''
Created on Jun 28, 2016
@author: isvoboda
'''
from __future__ import print_function
import sys
import multiprocessing
import logging
import yaml
import argparse
from collections import OrderedDict
import cnn_image_processing as ci
import signal
signal.signal(signal.SIGINT, lambda x, y: sys... | DCGM/cnn-image-processing | bin/train_cnn.py | train_cnn.py | py | 5,210 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "signal.signal",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "signal.SIGINT",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"li... |
36014041676 | import torch.nn as nn
import tqdm
import torch
class ANN(nn.Module):
def __init__(self, input=4):
super().__init__()
# self.relu1 = nn.ReLU(inplace=True)
self.liner1 = nn.Linear(input,128)
self.relu = nn.ReLU()
self.liner2 = nn.Linear(128,8)
self.liner3 = nn.Linear(8... | infinity-linh/Bot_Inf | scripts/model_ANN.py | model_ANN.py | py | 539 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numbe... |
70103613629 | #!/usr/bin/env python3
"""
Example for Implied Volatility using the NAG Library for Python
Finds implied volatilities of the Black Scholes equation using specfun.opt_imp_vol
Data needs to be downloaded from:
http://www.cboe.com/delayedquote/QuoteTableDownload.aspx
Make sure to download data during CBOE Trading Hours.
... | cthadeufaria/passport | investing/impliedVolatility.py | impliedVolatility.py | py | 9,398 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.exit",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr.write",
"line_num... |
2778228066 | import types
from imp import reload
def print_status(module):
print(f'reloading {module.__name__}')
def try_reload(module):
try:
reload(module)
except Exception as e:
print(f'FAILED {e.__repr__()} : {module}')
def transitive_reload(module, visited):
if not module in visited:
p... | Quessou/quessoutils | qssmodules/reloadall.py | reloadall.py | py | 967 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "imp.reload",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "types.ModuleType",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "types.ModuleType",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
... |
35717342742 | import torch
import torch.nn as nn
from utils.resnet_infomin import model_dict
import torch.nn.functional as F
from collections import OrderedDict
class RGBSingleHead(nn.Module):
"""RGB model with a single linear/mlp projection head"""
def __init__(self, name='resnet50', head='linear', feat_dim=128):
... | VirtualSpaceman/ssl-skin-lesions | utils/build_backbone_infomin.py | build_backbone_infomin.py | py | 10,323 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "utils.resnet_infomin.model_dict",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "torch.nn.... |
8267132836 | import logging
import os
import pytest
import yaml
from cekit.config import Config
from cekit.descriptor import Image, Overrides
from cekit.descriptor.resource import create_resource
from cekit.errors import CekitError
try:
from unittest.mock import call
except ImportError:
from mock import call
config = Co... | cekit/cekit | tests/test_unit_resource.py | test_unit_resource.py | py | 11,760 | python | en | code | 70 | github-code | 6 | [
{
"api_name": "cekit.config.Config",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "os.remove",
"line... |
14159066621 | import tkinter as tk
from tkinter import ttk
import pyautogui
import pygetwindow
# The app was developed by Tom Girshovksi.
class CenterWindowGUI:
def __init__(self, master):
self.master = master
master.title("Center Window")
# Create the frame
self.frame = ttk.Frame(master, paddin... | R1veltm/WindowCenterizer | main.py | main.py | py | 3,398 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "tkinter.ttk.Frame",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tkinter.ttk",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "tkinter.ttk.Label",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "tkinter.ttk",
"li... |
28924320598 | import os
from flask import Flask, request, abort, jsonify
from flask_sqlalchemy import SQLAlchemy
from flask_cors import CORS
import random
from sqlalchemy import func
from models import setup_db, Question, Category
QUESTIONS_PER_PAGE = 10
# Create APP and settings cors headers
def create_app(test_config=None):
... | steffaru/udacity-trivia-api-project | starter/backend/flaskr/__init__.py | __init__.py | py | 8,097 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "models.setup_db",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
... |
14471351413 | '''
Given a list accounts, each element accounts[i] is a list of strings, where the first element accounts[i][0] is a name, and the rest of the elements are emails representing emails of the account.
Now, we would like to merge these accounts. Two accounts definitely belong to the same person if there is some email th... | loganyu/leetcode | problems/721_accounts_merge.py | 721_accounts_merge.py | py | 2,893 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.defaultdict",
"line_number": 29,
"usage_type": "call"
}
] |
42891510827 | #PYTHON CAMERA MODEL
import cv2
import numpy as np
i=0
def capturing(event,x,y,flags,param):
global i
if event==cv2.EVENT_LBUTTONUP:
name="photo_"+str(i)+".png"
wname="CAPTURED IMAGE"
cv2.imwrite(name,frame)
h=cv2.imread(name)
cv2.namedWindow(wname)
cv2.imshow(wn... | NamrithaGirish/LiveCam | cam.py | cam.py | py | 1,003 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.EVENT_LBUTTONUP",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "cv2.imwrite",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.namedWindow",
... |
7911525547 | import nltk
from collections import Counter
nltk.download('vader_lexicon')
from nltk.sentiment import SentimentIntensityAnalyzer
#Зчитуємо файл який дали в завданні
filename = "data.csv"
with open(filename, 'r') as f:
reviews = f.readlines()
# ініціалізуємо SentimentIntensityAnalyzer (бібліотека для визначення... | Stepanxan/home_task-2 | app.py | app.py | py | 3,167 | python | uk | code | 0 | github-code | 6 | [
{
"api_name": "nltk.download",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "nltk.sentiment.SentimentIntensityAnalyzer",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 33,
"usage_type": "call"
}
] |
36347951264 | import random
import numpy as np
from scipy.optimize import fsolve
# velocity upper bound from Wu et al (https://flow-project.github.io/papers/wu17a.pdf )
# This is an approximation
def v_eq_max_function(v, *args):
"""Return the error between the desired and actual equivalent gap."""
num_vehicles, length = a... | poudel-bibek/Beyond-Simulated-Drivers | flow/density_aware_util.py | density_aware_util.py | py | 7,049 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "scipy.optimize.fsolve",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.random.randint",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "numpy.random",... |
20182818588 | # File: utils.py
# Name: Sergio Ley Languren
"""Utility for wordle program"""
from WordleDictionary import FIVE_LETTER_WORDS
from WordleGraphics import CORRECT_COLOR, PRESENT_COLOR, MISSING_COLOR, UNKNOWN_COLOR, N_COLS, N_ROWS, WordleGWindow
from random import choice
from typing import Type, Union, Optional
from copy... | SLey3/Project-1 | utils.py | utils.py | py | 4,316 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "random.choice",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "WordleDictionary.FIVE_LETTER_WORDS",
"line_number": 28,
"usage_type": "argument"
},
{
"api_name": "typing.Optional",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "... |
35968448866 | from selenium import webdriver
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.support.ui import Select
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support import ui
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import... | surbhikhandelwal/Python-Projects | CWTV/cwtv.py | cwtv.py | py | 3,267 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 22,
"usage_type": "call"
},
{
"api... |
7998902064 | import os
from bson.json_util import dumps
from dotenv import load_dotenv
# from flask import jsonify
import pymongo
load_dotenv() # use dotenv to hide sensitive credential as environment variables
DATABASE_URL = f'mongodb+srv://{os.environ.get("user")}:{os.environ.get("passwort")}' \
'@flask-mongodb-a... | rosemaxio/flauraBackend | plants/db.py | db.py | py | 1,326 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pymongo.MongoClient",
... |
37182795454 | import os
import re
from typing import Tuple
from transformers import pipeline # type: ignore
MODEL_PATH = os.environ.get("MODEL_PATH", "./distilbert-base-cased-distilled-squad")
class CardSourceGeneratorMock:
def __call__(self, text: str, question: str) -> Tuple[int, int]:
return 0, len(text) // 2
c... | MoShrank/card-generation-service | text/CardSourceGenerator.py | CardSourceGenerator.py | py | 1,408 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "typing.Tuple",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "transformers.pipeline",
... |
9264192052 | import mne
import numpy as np
import pandas as pd
from mne.beamformer import make_lcmv, apply_lcmv, apply_lcmv_cov
from scipy.stats import pearsonr
import config
from config import fname, lcmv_settings
from time_series import simulate_raw, create_epochs
# Don't be verbose
mne.set_log_level(False)
fn_stc_signal = fna... | wmvanvliet/beamformer_simulation | lcmv.py | lcmv.py | py | 6,703 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "mne.set_log_level",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "config.fname.stc_signal",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "config.fname",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "config.vertex"... |
6193427862 | """
Main script: Autonomous Driving on Udacity Simulator
@author : nelsoonc
Undergraduate Thesis
Nelson Changgraini - Bandung Institute of Technology, Indonesia
"""
# Throttle 0 - 1 will produce speed 0 - 30 mph
# Steering -1 - 1 will produce angle -25 - 25 degrees
import os
import numpy as np
import so... | zhouzheny1/Conditional_Imitation_Learning | simulation/main.py | main.py | py | 2,123 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "socketio.Server",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "tensorflow.function",
... |
7965704838 | from pathlib import Path
from promtail_ops_manager import PromtailOpsManager
# The promtail release file.
resource = "./promtail.zip"
manager = PromtailOpsManager()
# manager.install(resource)
# Setup for local tests such that installation of binaries etc.
# will not mess up your local client.
manager.promtail_home ... | erik78se/promtail-vm-operator | tests/testlib.py | testlib.py | py | 839 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "promtail_ops_manager.PromtailOpsManager",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "path... |
29401120526 | import json
import os
from googleapiclient.discovery import build
class Channel:
"""Класс для ютуб-канала"""
def __init__(self, channel_id: str) -> None:
"""Экземпляр инициализируется id канала. Дальше все данные будут подтягиваться по API."""
self.__channel_id = channel_id
api_key: ... | AnastasiaLykova/youtube-analytics-project | src/channel.py | channel.py | py | 4,052 | python | ru | code | null | github-code | 6 | [
{
"api_name": "os.getenv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "googleapiclient.discovery.build",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "googleapiclient.d... |
10996457940 | import time
import pyrealsense2 as rs
import numpy as np
import cv2
import os
import open3d as o3d
intrinsics = np.array([
[605.7855224609375, 0., 324.2651672363281, 0.0],
[0., 605.4981689453125, 238.91090393066406, 0.0],
[0., 0., 1., 0.0],
[0., 0., 0., 1.],])
ROOT_DIR ... | midea-ai/CMG-Net | utils/get_points.py | get_points.py | py | 6,789 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_n... |
18155298342 | import customtkinter as ctk
from PIL import Image
root = ctk.CTk()
root.title("IRIS")
root.geometry("1080x720")
root._set_appearance_mode("dark")
frame = ctk.CTkFrame(master=root)
frame.pack(pady=20)
logo = ctk.CTkImage(Image.open(
"/home/nabendu/Documents/MCA/projects/python-speechRecongition-desktop-AI-project/... | Nandy1002/python-speechRecongition-desktop-AI-project | main/gui.py | gui.py | py | 906 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "customtkinter.CTk",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "customtkinter.CTkFrame",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "customtkinter.CTkImage",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PIL.Ima... |
42488414261 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed May 23 12:34:08 2018
@author: michal
"""
import networkx as nx
from networkx.algorithms.isomorphism import GraphMatcher
from networkx.readwrite.json_graph import node_link_data
from os.path import isdir, join, isfile
from os import mkdir
import json
fr... | chemiczny/PDB_supramolecular_search | anionTemplateCreator.py | anionTemplateCreator.py | py | 10,065 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "networkx.algorithms.isomorphism.GraphMatcher",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "networkx.Graph",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 112,
"usage_type": "call"
},
{
"api_nam... |
3777146121 | from django.shortcuts import render
from cowsay_app.models import Input
from cowsay_app.forms import InputForm
import subprocess
# I mainly used this source to figure out subprocess:
# https://linuxhint.com/execute_shell_python_subprocess_run_method/
# I also used Stackoverflow and Python docs
# Also found some usefu... | pokeyjess/cowsay | cowsay_app/views.py | views.py | py | 1,247 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cowsay_app.forms.InputForm",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cowsay_app.forms.InputForm",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cowsay_app.models.Input.objects.create",
"line_number": 18,
"usage_type": "call"
... |
25993011459 | import urllib
from flask import Blueprint, request, render_template, flash, redirect, url_for
from orders_tracker.blueprints.clients.service import add_client, update_client, remove_client, search_clients, \
get_form_fields, get_path_args, \
get_clients_count, render_empty, get_pagination_metadata, paginate_c... | 1Lorde/orders-tracker | orders_tracker/blueprints/clients/routes.py | routes.py | py | 4,565 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Blueprint",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "orders_tracker.forms.NewClientForm",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_... |
38899572282 | import pygame
import time
import random
pygame.init()
pygame.font.init()
myfont = pygame.font.SysFont('Comic Sans MS', 30)
screen = pygame.display.set_mode((1280,720))
done = False
p1_x=30
p1_y= screen.get_height()-60
#make player
class Player:
def __init__(self,x,y):
self.x=x
self.y=y
def move... | mahi-pas/Egg-Catcher | catcher.py | catcher.py | py | 1,381 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.init",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.font.init",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pygame.font.SysFont",
... |
6815148797 | import pygame
import numpy as np
import pickle
import datetime
import os
from snake import Snake
from map import Map
from agent import Agent
# Version 1.1
MODEL_DIR = "models"
MODEL_NAME = "model_1v7" # Name of the pickle file in which we store our model.
MODEL_PATH = os.path.join(MODEL_DIR, MODEL_NAME)
# MODEL_NAME ... | Dawir7/Reinforcement-Learing-Bot-to-play-Snake-game | Reinforcement_learninig/main_learning.py | main_learning.py | py | 6,247 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 1... |
7804756691 | from jinja2 import Environment, FileSystemLoader
import yaml
import os.path
ENV = Environment(loader=FileSystemLoader('./'))
script_path = 'SCRIPTS/'
script = os.path.join(script_path, 'script.txt')
with open("config.yaml") as _:
yaml_dict = yaml.load(_)
template = ENV.get_template("template.text")
with open... | dancwilliams/Prefix_List_Script | EXTRA_SCRIPTS/MANUAL_CREATE/generate_config.py | generate_config.py | py | 416 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "jinja2.Environment",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "jinja2.FileSystemLoader",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.pat... |
811133362 | import pygame
from pygame.locals import *
from entities import User, Enemy
from fonctions import *
from stage import *
from hud import *
import random
import time
import zmq
import threading
from stage import *
from tkinter import *
from playsound import playsound
def choix1():
global perso
perso=1
b... | ZeProf10T/projet-isn | server.py | server.py | py | 8,030 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "playsound.playsound",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "pygame.init",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "pygame.displa... |
43011396057 | """Calculate various statistics for the CEA playerbase, and stores in a spreadsheet.
Attributes:
counts (Counter): counting number of games
EXTRA_GAMES_FILE (str): File to be used if we need to input extra games
K (int): K-value used for elo ratings.
"""
import csv
import json
import os
import re... | carsonhu/cea-elo | calculate_elo.py | calculate_elo.py | py | 16,986 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "sc2reader.engine.register_plugin",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "sc2reader.engine",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "sc2reader.engine.plugins.APMTracker",
"line_number": 31,
"usage_type": "call"
},... |
16816563467 | import json
import requests
from django.http import JsonResponse
from django.shortcuts import render
import numpy as np
# Create your views here.
from django.template.defaultfilters import upper
from django.template.loader import render_to_string
from apps.utils.cases import get_scenario_on_day
from apps.utils.dat... | Akijunior/corona-relatorio | src/apps/core/views.py | views.py | py | 2,580 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "django.template.defaultfilters.upper",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "django.template.loader.render_to_string",
"line_number": 28,
"usage_type": "call"
},
... |
16106099445 | #import logging
class stopwatch:
"""usage:
swgen = stopwatch.template("[INTEGRATION]")
...
with swgen("Running xxx") as _:
run_stuff()
with swgen("Finalizing xxx") as _:
finish_stuff()
"""
def __init__(self, message, logger):
self.logger ... | KellisLab/benj | benj/timer.py | timer.py | py | 1,382 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "time.time",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "tqdm.auto.tqdm",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "tqdm.auto.tqdm.tqdm",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "tqdm.auto.tqdm",
"li... |
21397154599 | import os
import backoff
import pytest
from racetrack_commons.dir import project_root
from racetrack_client.client.deploy import send_deploy_request
from racetrack_client.client_config.auth import set_user_auth
from racetrack_client.client_config.client_config import ClientConfig
from racetrack_client.utils.request i... | TheRacetrack/racetrack | tests/e2e/test_auth.py | test_auth.py | py | 6,570 | python | en | code | 27 | github-code | 6 | [
{
"api_name": "os.getenv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pytest.mark.skipif",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "e2e.utils._configure_en... |
12836912861 | import sys
from typing import Optional
import PySide6
from PySide6 import QtWidgets
from qt_material import QtStyleTools, list_themes
from safebox.gui.widgets import cycle_generator, CreatorWidget
class MainWindow(QtWidgets.QMainWindow, QtStyleTools):
def __init__(self, parent: Optional[PySide6.QtWidgets.QWidget]... | pouralijan/SafeBox | safebox/gui/safebox_creator_main_window.py | safebox_creator_main_window.py | py | 829 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "PySide6.QtWidgets.QMainWindow",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "PySide6.QtWidgets",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "qt_material.QtStyleTools",
"line_number": 9,
"usage_type": "name"
},
{
"api_na... |
36388156115 | from typing import Union
import psutil
def get_cpu_temp() -> Union[float, None]:
temperature_file_path = "/sys/class/thermal/thermal_zone0/temp"
try:
raw_temp = None
with open(temperature_file_path) as f:
raw_temp = f.readline().strip("\n")
return float(raw_temp) / 1000
... | noahtigner/homelab | api/diagnostics/retrieval.py | retrieval.py | py | 1,365 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.Union",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "psutil.cpu_count",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "typing.Union",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "psutil.cpu_percent",
"l... |
74525063866 | import argparse
from datetime import datetime
import os
import sys
import time
import random
from Classifier_3d_v1 import Classifier
import tensorflow as tf
from util import Visualizer
import numpy as np
from dataset_classifier import LungDataset
import torch
from ops import load,save,pixelwise_cross_entropy
import tor... | jimmyyfeng/Tianchi-1 | Tianchi_tensorflow/train_classifier.py | train_classifier.py | py | 3,980 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "util.Visualizer",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torchnet.meter.AverageValueMeter",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "torchnet.meter",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "... |
44757415813 | from telegram.ext import *
from telegram import *
import openai
openai.api_key = "YOUR OPENAI API KEY" # Enter your OpenAI Secret Key.
telegram_token = "YOUR TELEGRAM BOT TOKEN" # Enter your Telegram Bot Token.
conversation=[{"role": "system", "content": "You are a helpful assistant."}] # Define... | muhammetharundemir/Telegram-ChatGPT | telegramChatGPT.py | telegramChatGPT.py | py | 3,703 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "openai.api_key",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "openai.ChatCompletion.create",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "openai.ChatCompletion",
"line_number": 21,
"usage_type": "attribute"
}
] |
24890875535 | #!/bin/env python
# -*- coding: UTF-8 -*-
import wx
import os
import sys
import shutil
import re
import math
from bqList import MyBibleList
from exhtml import exHtmlWindow
class MyApp(wx.App):
path = None
def __init__(self, *args, **kwds):
wx.App.__init__ (self, *args, **kwds)
def OnInit(self):
self.... | noah-ubf/BQTLite | pybq.py | pybq.py | py | 19,493 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "wx.App",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "wx.App.__init__",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "wx.App",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_... |
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