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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7579242086 | import argparse
import os.path
import warnings
from shutil import copyfile
import cv2
import numpy as np
import imagetopdfandtxt.helper_utils as helper_utils
import scipy.ndimage
# see https://stackoverflow.com/a/57965160
# Delta defines the degree steps to be checked.
# Limit defines the maximum skew.
def get_rotatio... | Jerey/image-to-pdf-and-txt | imagetopdfandtxt/picture_rotator.py | picture_rotator.py | py | 4,076 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "scipy.ndimage.ndimage.rotate",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "scipy.ndimage.ndimage",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "scipy.ndimage",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": ... |
28875821621 | #!/usr/bin/env python3
import numpy as np
import matplotlib
# Force matplotlib to not use any Xwindows backend.
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import os, errno, sys
import math
import json
#from scipy.optimize import curve_fit
from scipy import optimize
from scipy.interpolate import interp1d, spl... | Bombur/DiagMC_BEC_Polaron | Execution/data_ana_fig4.py | data_ana_fig4.py | py | 12,292 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.use",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "numpy.abs",
"line_number": 2... |
27557718937 | import time
from selenium import webdriver
# 进入浏览器设置
options = webdriver.ChromeOptions()
# 设置中文
options.add_argument('lang=zh_CN.UTF-8')
# 更换头部
options.add_argument('user-agent="Mozilla/5.0 (iPod; U; CPU iPhone OS 2_1 like Mac OS X; ja-jp) AppleWebKit/525.18.1 (KHTML, like Gecko) Version/3.1.1 Mobile/5F137 Safar... | kttxiaoqiang/python | spider/30_selenium_请求头.py | 30_selenium_请求头.py | py | 761 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 11,
"usage_type": "call"
},
{
"api_n... |
17118038756 | import numpy as np
from sklearn.metrics import confusion_matrix, classification_report
from augmentation import DataGenerator
from resnet101V2.model import get_model
# parameters
train = True
weight_path = r'resnet101V2/resnet101_v2_fine.h5'
num_classes = 7
size = (512, 512)
batch_size = 16
epochs = 300
augment = Tru... | Vargha-Kh/Deep-Learning-Practices | Texture Classifiers/confusion_matrix.py | confusion_matrix.py | py | 1,724 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "resnet101V2.model.get_model",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "augmentation.DataGenerator",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "augmentation.DataGenerator",
"line_number": 30,
"usage_type": "call"
},
{
... |
72084805813 | import requests
from random import choice
from csv import DictReader
from bs4 import BeautifulSoup
URL = 'http://quotes.toscrape.com/'
def read_quotes(filename):
with open (filename, "r") as file:
csv_reader = DictReader(file)
return list(csv_reader)
def start_playing(function):
quote = choic... | Zielzor/Guess-the-Quote-game | main_withfile.py | main_withfile.py | py | 1,958 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "csv.DictReader",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"li... |
18703312071 | # Convert dataset to dataframe
import pandas as pd
# Read dataset
iris = pd.read_csv('Iris.csv')
print(iris.head())
# Remove Property ID
# labels = name of columns
# axis = 1 for columns, 0 for index
# inplace = if False, will make copy of data and make modification, if True, will do modification original data and re... | rezandry/dicoding-beginner-machine-learning | sklearn_decision_tree.py | sklearn_decision_tree.py | py | 1,264 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sklearn.tree.DecisionTreeClassifier",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sklearn.tree.export_graphviz",
"line_number": 35,
"usage_type": "call"
}
] |
72767328052 | import json
import os
import discord
import time
import requests
import inspect
from utils.lang.lang import Lang
from utils.references import References
from cogs.errors import *
from utils.bot_logging import get_logging
logging_error = get_logging(__name__, "error")
logging_info = get_logging(__name__, "info")
loggin... | Dams4K/FrenchMCPlayHDBridgers | utils/bot_data.py | bot_data.py | py | 20,433 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "utils.bot_logging.get_logging",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "utils.bot_logging.get_logging",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "utils.bot_logging.get_logging",
"line_number": 14,
"usage_type": "call"
},
... |
20755007526 | import networkx as nx
import ezdxf
# 创建示例拓扑结构图
G = nx.Graph()
G.add_edges_from([(1, 2), (1, 3), (2, 3), (3, 4), (4, 5), (4, 6)])
# 创建DXF图
doc = ezdxf.new()
msp = doc.modelspace()
# 绘制拓扑结构图
node_positions = nx.spring_layout(G) # 选择一种布局算法
scale_factor = 1.0 # 不进行缩放
for node, pos in node_positions.items():
msp.ad... | Demonwuwen/zwpycad | topologyToCAD.py | topologyToCAD.py | py | 994 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "networkx.Graph",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "ezdxf.new",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "networkx.spring_layout",
"line_number": 13,
"usage_type": "call"
}
] |
27707452226 | # -*- coding: utf-8 -*-
#
# File: testUtils.py
#
# GNU General Public License (GPL)
#
from AccessControl import Unauthorized
from collective.contact.plonegroup.utils import get_plone_group
from imio.helpers.content import richtextval
from os import path
from plone.app.controlpanel.events import ConfigurationChangedEve... | IMIO/Products.PloneMeeting | src/Products/PloneMeeting/tests/testUtils.py | testUtils.py | py | 17,250 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "Products.PloneMeeting.tests.PloneMeetingTestCase.PloneMeetingTestCase",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "Products.PloneMeeting.utils.validate_item_assembly_value",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "Products.PloneMeet... |
6461689831 | from __future__ import print_function
import cv2 as cv
import numpy as np
max_value = 255
max_value_H = 360//2
low_H = 0
low_S = 0
low_V = 0
high_H = max_value_H
high_S = max_value
high_V = max_value
low_H_name = 'Low H'
low_S_name = 'Low S'
low_V_name = 'Low V'
high_H_name = 'High H'
high_S_name = 'High S'
high_V_nam... | roboime/HRR-Intel | tutorial-opencv/5-mask.py | 5-mask.py | py | 2,762 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.ones",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "cv2.setTrackbarPos",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "cv2.setTrackbarPos",
... |
21811478031 | # encoding: utf-8
"""
__author__:cjhcw
"""
from flask import Blueprint
from flask import jsonify, request
import jwt
from database import users_db
import utility
users = Blueprint("user", __name__, url_prefix='/api/user')
@users.route('/register', methods=['POST'])
def register():
"""
注册用户
:parameter
... | 1215999705/Music_share | mongo/route/users.py | users.py | py | 3,755 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Blueprint",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.request.get_json",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "flask.request",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "database.users_d... |
12851604514 | import os
import pyarrow
import adbc_driver_postgresql.dbapi
uri = os.environ["ADBC_POSTGRESQL_TEST_URI"]
conn = adbc_driver_postgresql.dbapi.connect(uri)
#: We'll create an example table to test.
with conn.cursor() as cur:
cur.execute("DROP TABLE IF EXISTS example")
cur.execute("CREATE TABLE example (ints ... | apache/arrow-adbc | docs/source/python/recipe/postgresql_get_table_schema.py | postgresql_get_table_schema.py | py | 508 | python | en | code | 263 | github-code | 21 | [
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "adbc_driver_postgresql.dbapi.dbapi.connect",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "adbc_driver_postgresql.dbapi.dbapi",
"line_number": 8,
"usage_type": "attribute"... |
17072343549 | import discord, os
from bs4 import BeautifulSoup as soup
from discord.ext import commands
from discord import Embed
from pygicord import Paginator
class recourses(commands.Cog):
def __init__(self, client):
self.client = client
@commands.command(name="OSRecourses", description="OS support and recommend... | Cinnamon1212/CyberSecDiscordBot | lib/cogs/recourses.py | recourses.py | py | 23,081 | python | en | code | 8 | github-code | 21 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "discord.Embed",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "discor... |
27014763863 | from decouple import config
from dotenv import load_dotenv
import telebot
import os, sys
sys.path.append(os.path.dirname(os.path.realpath(__file__)))
path2root = os.path.join(os.path.dirname(__file__), "..")
sys.path.append(path2root)
def markdown_text(text):
"""Compatibiliza un texto cualquiera con MarkdownV2 sa... | moregain909/inea_produccion | telegram/telegram_helpers.py | telegram_helpers.py | py | 2,989 | python | es | code | 0 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
13343341814 | # coding:utf-8
import os
import time
from concurrent.futures import as_completed
from concurrent.futures.thread import ThreadPoolExecutor
import requests
def do_req(n):
print(f'This is task {n}')
time.sleep(0.1)
url = 'http://163.com'
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; W... | Crescent617/code-practice | py/http/crawler/enhance_effeciency.py | enhance_effeciency.py | py | 1,336 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "time.sleep",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "requests.RequestException",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "time.time",
... |
37332199773 | from django.urls import path, include
from rest_framework import routers
from .views import HumanViewSet, UserViewSet, CreateHumanViewSet
router = routers.DefaultRouter()
router.register('humans', HumanViewSet)
router.register('createhumans', CreateHumanViewSet)
router.register('users', UserViewSet)
urlpatterns = [
... | kanybekov66/task_from_apex_group | apexgroup/innsaver/urls.py | urls.py | py | 356 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "rest_framework.routers",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "views.HumanViewSet",
"line_number": 6,
"usage_type": "argument"
},
{
"a... |
70880216374 | # -*- coding: utf-8 -*-
"""
Created on Tue May 22 10:48:05 2018
@author: Joris
"""
import torch.nn as nn
from collections import defaultdict
import pickle
import operator
import scipy.spatial.distance as sd
word2embs_W1 = pickle.load(open('SG/word2embed_W1.pickle','rb'))
word2embs_W2 = pickle.load(open('SG/word2embe... | jorism1993/ULL-Practicals | 3/SkipGram/evaluate.py | evaluate.py | py | 1,511 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pickle.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"li... |
26262586067 | from __future__ import annotations
from model_bakery import seq
from model_bakery.recipe import Recipe, related, foreign_key
from . import tag_anchor_recipe, user_recipe
from ..models import GraphAnchor, OrderedAnchorTable, Graph, GraphDescription
GRAPH_ANCHOR_NAME = "graph anchor"
GRAPH_DESCRIPTION_TITLE = "Graph ... | Reed-CompBio/GrapheryV2-Django | graphery/backend/baker_recipes/graph_recipe.py | graph_recipe.py | py | 1,142 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "model_bakery.recipe.Recipe",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "models.GraphAnchor",
"line_number": 24,
"usage_type": "argument"
},
{
"api_name": "model_bakery.seq",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "mo... |
6324741762 | import os
import json
import argparse
from typing import Set
def load_targets(fpath: str) -> Set[str]:
targets = []
with open(fpath) as fin:
for line in fin:
target = json.loads(line)['text1']
targets.append(target)
return set(targets)
def main(args: argparse.Namespace) -... | jagol/MTL-SD | scripts/compute_train_test_target_overlap.py | compute_train_test_target_overlap.py | py | 1,788 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "json.loads",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "typing.Set",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "argparse.Namespace",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line... |
26804817437 | """
URL configuration for mohirbitiruvchi project.
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/4.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, na... | ShaxbozI/Mb.uz | mohirbitiruvchi/urls.py | urls.py | py | 1,910 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "django.urls.include",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "django.contrib.... |
21694132161 | from django.http import HttpResponseForbidden
from comments.models import Comment
def is_comment_owner(func):
def decorated(review,*args,**kwargs):
target_comment = Comment.objects.get(pk=kwargs['pk'])
if target_comment.writer == review.user:
return func(review,*args,**kwargs)
... | JururuK/Class_Web | comments/decorators.py | decorators.py | py | 393 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "comments.models.Comment.objects.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "comments.models.Comment.objects",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "comments.models.Comment",
"line_number": 8,
"usage_type": "name"
... |
25986530113 | import argparse
import matplotlib.pyplot as plt
def restore_model_accuracy_and_loss(file_path):
loss = list()
acc = list()
val_loss = list()
val_acc = list()
with open(file_path, 'r') as file:
lines = file.readlines()
for idx in range(1, len(lines), 2):
target = lines[idx].split()
loss.append... | AliOsm/shakkelha | helpers/restore_model_accuracy_and_loss.py | restore_model_accuracy_and_loss.py | py | 1,590 | python | en | code | 72 | github-code | 21 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.tight_layout",
"line_number": 44,
"usage_type": "call"
},
{
"api_nam... |
19267649862 | from django.conf import settings
from . import contract_config
import json
import os
from web3 import Web3
from web3.middleware import geth_poa_middleware
# Contract data
contract_address = contract_config.config["contract_address"]
public_key = contract_config.config["public_key"]
private_key = contract_config.confi... | NavrajBIT/khelmanchbackend | backend/khelmanch/api/contractcalls.py | contractcalls.py | py | 3,268 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings.BASE_DIR",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "django.c... |
73376687412 | import unittest
import numpy as np
import matplotlib.pyplot as plt
import PySeismoSoil.helper_generic as hlp
import PySeismoSoil.helper_signal_processing as sig
import os
from os.path import join as _join
f_dir = _join(os.path.dirname(os.path.realpath(__file__)), 'files')
class Test_Helper_Signal_Processing(unitt... | jsh9/PySeismoSoil | tests/test_helper_signal_processing.py | test_helper_signal_processing.py | py | 2,273 | python | en | code | 43 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"lin... |
42826099582 | from datetime import datetime
import re
from PIL import Image, ImageDraw
import calendar
from cwt.utils.DrawUtils import Text, Font
class EPaperCalendar:
def __init__(self):
pass
def draw(self, target_canvas, font_color="#000000"):
current_date = datetime.today().strftime('%m月%d日') + self.to... | SteveZhengMe/single-weather-calendar-quote | cwt/modules/CalendarClass.py | CalendarClass.py | py | 1,591 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime.today",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "PIL.ImageDraw.Draw",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "PIL.Imag... |
26134972465 | from colour import Color
from utils.animation_maker import *
import numpy as np
from time import time
song = 1
in_file = f'./Songs/Song0{song}.wav'
c1, c2 = Color('#fceaa8'), Color('#00e5ff')
#c1, c2 = Color('#000000'), Color('#00fffb')
c3, c4 = Color('#000000'), Color('#000000')
gradient_mode = 'hsl'
n_points = 100
a... | pabloqb2000/py-led_audio_visualizer | music_to_numpy.py | music_to_numpy.py | py | 638 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "colour.Color",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "colour.Color",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.save",
"line_number": 22... |
7994639962 | from pathlib import Path
import urllib
import pandas as pd
where_csv = Path(".")
canvas_csv = where_csv / "Canvas_classlist_041_filenames.csv"
out_csv = where_csv / "Canvas_classlist_042_urls.csv"
df = pd.read_csv(canvas_csv, dtype="object")
baseurl = "https://amcweb.math.ubc.ca/~cbm/bmeg220/"
def make_url(r):
... | plomgrading/plom | contrib/onlinedist_042_write_urls.py | onlinedist_042_write_urls.py | py | 884 | python | en | code | 10 | github-code | 21 | [
{
"api_name": "pathlib.Path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.isnull",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "urllib.parse.quote_plus",
... |
24234613899 | #!/usr/bin/env python
from __future__ import print_function
import os
from pipes import quote
import re
import signal
import sys
from tornado.ioloop import IOLoop
try:
from ipykernel.kernelbase import Kernel
except ImportError:
from IPython.kernel.zmq.kernelbase import Kernel
from pexpect import replwr... | minrk/clingkernel | clingkernel.py | clingkernel.py | py | 6,637 | python | en | code | 126 | github-code | 21 | [
{
"api_name": "sys.version_info",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "pexpect.replwrap.REPLWrapper",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "pexpect.replwrap",
"line_number": 33,
"usage_type": "name"
},
{
"api_name... |
33569521838 | import os
from PyPDF2 import PdfMerger
# Set the directory path where your PDF files are located
pdf_directory = "./individual_pdf"
# Get a list of all PDF files in the directory
pdf_files = [file for file in os.listdir(pdf_directory) if file.endswith('.pdf')]
# Sort the PDF files to merge them in a specific order i... | rajverma328/NPTEL_web_scrapper | merge_pdf.py | merge_pdf.py | py | 727 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.listdir",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "PyPDF2.PdfMerger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
34319770823 | import re
from youtube_transcript_api import YouTubeTranscriptApi
class YouTubeTranscriptAnalyzer:
def __init__(self, video_url):
self.youtube_id = self.extract_youtube_id(video_url)
self.transcript = self.get_text_timed()
@staticmethod
def extract_youtube_id(video_url):
if "yout... | advaitpaliwal/NotesAI | test/youtube.py | youtube.py | py | 1,318 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "re.search",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "youtube_transcript_api.YouTubeTranscriptApi.get_transcript",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "youtube_transcript_api.YouTubeTranscriptApi",
"line_number": 20,
"us... |
30570330636 | """ A Simple file server for uploading and downloading files """
import json
import mimetypes
import os
import shutil
import urllib.parse
from argparse import ArgumentParser
from collections import defaultdict
from pathlib import Path
from boltons.iterutils import first
from flask import Flask, request, send_from_dire... | allegroai/clearml-server | fileserver/fileserver.py | fileserver.py | py | 5,853 | python | en | code | 334 | github-code | 21 | [
{
"api_name": "config.config.logger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "config.config",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "flask.Flask",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
... |
1553184793 | import numpy as np
import os
import pickle
import json
import pandas as pd
import matplotlib.pyplot as plt
os.chdir('/home/mathilde.lapoix/PycharmProjects/SCAPE/')
import utils.import_data as load
# %% Initialise
def fix_lustre_name(df):
return df.replace('iss01', 'iss02', regex=True)
def fix_lustre_name_Exp... | wyartlab/Carbo-Tano_Lapoix_2023 | SCAPE/script/humanReadableOutput.py | humanReadableOutput.py | py | 8,764 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.chdir",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "utils.import_data.load_summary_csv",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "utils.import_data",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "pickle.l... |
12140742423 | from django.test import TestCase, Client
from django.urls import reverse
from base.views import *
class Testviews(TestCase):
def test_HomePage_view(self):
clinet = Client()
response = clinet.get(reverse('homepage'))
self.assertEqual(response.status_code,200)
self... | Yazeedalshehri/MyStore | MyStore/Tests/test_views.py | test_views.py | py | 612 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "django.test.TestCase",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.test.Client",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.urls.reverse",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.tes... |
7497307383 | import os
import sys
import time
from datetime import datetime
from watchdog.observers import Observer
from watchdog.events import PatternMatchingEventHandler, FileSystemEventHandler
from Collector import Collector
class EventLogger:
"""
# Logging Output into Console
"""
def __init__ (self, ignored_event=None... | lazyKT/DataCollector | main.py | main.py | py | 2,325 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime.strftime",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "wa... |
18777854836 | import os
import speech_recognition as sr
def Listen():
r= sr.Recognizer()
with sr.Microphone(0) as source: # Microphone(0) means the deafault mic
print('Listening....')
r.pause_threshold = 1
audio = r.listen(source,0 ,2) # Giving mic as source , then
#Timeout as 0... | rohanCoderMan/mark | hotword_detection.pyw | hotword_detection.pyw | pyw | 811 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "speech_recognition.Recognizer",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "speech_recognition.Microphone",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.startfile",
"line_number": 27,
"usage_type": "call"
}
] |
9177766516 | from django.shortcuts import render
from django.http import HttpResponse
# Create your views here.
def index(requset):
return render(requset, 'menus/index.html')
def detail(request, menu):
context = dict()
if menu == 'chicken':
context["name"] = '코딩에 빠진 닭 '
context["description"] = '지금까지 ... | choiyun9yu/Django | costaurant/menus/views.py | views.py | py | 561 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.shortcuts.render",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 15,
"usage_type": "call"
}
] |
1019518382 | from PyQt4.QtGui import QDialog
from PyQt4.QtCore import pyqtSignature
from PyQt4.QtGui import QTreeWidgetItem, QMessageBox
from PyQt4.QtCore import QStringList,QString
from Common import *
import os, sys
import xml.etree.ElementTree as ET
class CanIfGeneral():
def __init__(self):
self.DevErrorDetection=Fa... | parai/gainos-tk | tool/gainos-studio/config/gainos_tk_canif_cfg.py | gainos_tk_canif_cfg.py | py | 23,592 | python | en | code | 29 | github-code | 21 | [
{
"api_name": "xml.etree.ElementTree.Element",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "xml.etree.ElementTree.Element",
"line_number": 49,
"usage_type": "call"
},
{
... |
29375757952 | """
Tic Tac Toe Player
"""
from functools import reduce
X = "X"
O = "O"
EMPTY = None
def initial_state():
"""
Returns starting state of the board.
"""
return [[EMPTY, EMPTY, EMPTY],
[EMPTY, EMPTY, EMPTY],
[EMPTY, EMPTY, EMPTY]]
def player(board):
"""
Returns player ... | 2jacobtan/CS50ai | 0b tictactoe/tictactoe.py | tictactoe.py | py | 4,153 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "functools.reduce",
"line_number": 153,
"usage_type": "call"
}
] |
5966218644 | # https://school.programmers.co.kr/learn/courses/30/lessons/132265
from collections import Counter
def solution(topping):
answer = 0
count = Counter(topping)
check = set()
for top in topping:
count[top] -= 1
check.add(top)
if count[top] == 0:
count... | kylew1004/algorithm | Programmers/Level2/롤케이크_자르기.py | 롤케이크_자르기.py | py | 415 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.Counter",
"line_number": 8,
"usage_type": "call"
}
] |
18268358074 | #!pip install pandas requests BeautifulSoup4
import pandas as pd
import requests
from bs4 import BeautifulSoup as bs
def scraper(url):
article_paragraph = []
response = requests.get(url)
soup = bs(response.content, 'html.parser')
article_div = soup.findAll("article")
for j in range... | xiaoyu163/algoGroupProject | scraper.py | scraper.py | py | 845 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 25,
"usage_type": "call"
}
] |
33897871223 | import datetime
from typing import TYPE_CHECKING, Any, Dict, List, Type, TypeVar, Union
import attr
from dateutil.parser import isoparse
from ..models.seller_freight_class import SellerFreightClass
from ..types import UNSET, Unset
if TYPE_CHECKING:
from ..models.amount import Amount
from ..models.contact imp... | milyord/sp-api | sp/fulfillment_inbound_v0/models/partnered_ltl_data_output.py | partnered_ltl_data_output.py | py | 9,790 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.TypeVar",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "typing.List",
... |
3146216240 | import bpy
import os
from typing import List, Tuple, Optional
from inspect import stack
from logging import getLogger
from utils import to_radians_xyz, to_vector_rgb
root_logger_name = os.path.splitext(os.path.basename(stack()[-2].filename))[0]
module_logger_name = f'{root_logger_name}.editor.scene'
module_logger = g... | vshige/blender_model_processing_tool | scripts/editor/scene.py | scene.py | py | 4,612 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.splitext",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.basename",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "inspect.stack",
"line... |
73984954294 | from flask_wtf import FlaskForm
from wtforms import IntegerField, SelectField, TextAreaField, FloatField
from wtforms.validators import DataRequired, ValidationError
def len_check(form, field):
if len(field.data) > 254:
raise ValidationError(f"{field} must be less than 255 characters")
class ProductForm(F... | XU1204/Emarty-EtsyClone | app/forms/product_form.py | product_form.py | py | 864 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "wtforms.validators.ValidationError",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask_wtf.FlaskForm",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "wtforms.TextAreaField",
"line_number": 10,
"usage_type": "call"
},
{
"api_na... |
33330214143 | import os
import pandas as pd
from torch.autograd import Variable
from sklearn import metrics
from sklearn.model_selection import KFold
from cnn_model import *
from model import *
from torch_geometric.nn import GCNConv
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
from to... | Jrunchang/MetalPrognosis | scripts/train1.py | train1.py | py | 12,508 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "torch.nn.CrossEntropyLoss",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "torch.optim.Adam",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "torch.optim",
... |
4551378264 | import cereal.messaging as messaging
from cereal import car
from opendbc.can.packer import CANPacker
from selfdrive.car import apply_std_steer_torque_limits
from selfdrive.car.volkswagen import volkswagencan
from selfdrive.car.volkswagen.values import DBC_FILES, CANBUS, MQB_LDW_MESSAGES, BUTTON_STATES, CarControllerPar... | blueopenpilot/openpilot | selfdrive/car/volkswagen/carcontroller.py | carcontroller.py | py | 9,803 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "cereal.car.CarControl",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "cereal.car",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "cereal.car.CarState",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "cereal.c... |
74488610931 | # -*- coding: utf-8 -*-
"""
Created on Sun Sep 25 15:06:43 2022
@author: basti
"""
import pygame
from fonctions import *
from classes import *
from settings import *
from mode_histoire import *
from multi import Multi
from solo import Solo
import os
import random
m = random.choice(random_liste)
pygame.mixer.init... | BastienChicot/jeu_combat | scripts/justi_fight.py | justi_fight.py | py | 2,918 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "random.choice",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pygame.mixer.init",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pygame.mixer",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "pygame.init",
"... |
25815847003 | from flask import Flask, render_template, request, send_file
from werkzeug.utils import secure_filename
# from pandas import DataFrame, read_csv
import pandas
from addgeocodes import add_geocodes
import datetime
app = Flask(__name__)
@app.route("/")
def index():
return render_template("index.html")
@app.route("/... | tritseratops/10_real_world_apps_python_udemy | 33Geocoder/app.py | app.py | py | 1,854 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "flask.requ... |
18407264123 | import argparse
import sys
from vmbpy import *
def print_preamble():
print('///////////////////////////////////')
print('/// VmbPy List Features Example ///')
print('///////////////////////////////////\n')
def abort(reason: str, return_code: int = 1):
print(reason + '\n')
sys.exit(return_code)... | alliedvision/VmbPy | Examples/list_features.py | list_features.py | py | 6,015 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "sys.exit",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "argparse.Namespace",
"line_number": 19,
"usage_type": "attribute"
}
] |
73642009973 | import time
from data_loader import COCOTextImageDataLoader, TextImageDataLoader
from utils.visualization import Visualizer
from model import create_model
from options import TrainOptions
def get_instance(module, name, opt, *args):
return getattr(module, opt[name]['type'])(*args, **opt[name]['args'])
def main(o... | Hhhhhhao/I2T2I | train.py | train.py | py | 4,444 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "data_loader.COCOTextImageDataLoader",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "data_loader.TextImageDataLoader",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "data_loader.dataset",
"line_number": 33,
"usage_type": "attribute"
... |
38055083302 | #_*_coding:utf-8_*_
import pygame
#import win32api
class Config(object):
def __init__(self):
self.SCREEN_WIDTH = 1366
self.SCREEN_HEIGHT = 768
self.CENTER_X = int(self.SCREEN_WIDTH / 2)
self.CENTER_Y = int(self.SCREEN_HEIGHT / 2)
self.BORDER_X_LEFT = 100
self.BORDER_X... | Reskip/Scrolling-Dashboard | src/diagram/config.py | config.py | py | 1,809 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pygame.HWSURFACE",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "pygame.DOUBLEBUF",
"line_number": 47,
"usage_type": "attribute"
}
] |
14787202171 | from wtforms.validators import InputRequired, Email, ValidationError
from eat.models.user import User
class EmailExists(object):
def __init__(self, should_exist=True, message=None):
self._email_should_exist = should_exist
self._message = message
def __call__(self, form, field):
exists... | Lunchable/eat | src/eat/forms/__init__.py | __init__.py | py | 608 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "eat.models.user.User.objects",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "eat.models.user.User",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "wtforms.validators.ValidationError",
"line_number": 13,
"usage_type": "call"
},
{
... |
24092089628 | # Import the functions we need from flask
from flask import Flask
from flask import render_template
from flask import jsonify
# Import the functions we need from SQL Alchemy
import sqlalchemy
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.orm import Session
from sqlalchemy import create_engine
from s... | riebs123/data-oriented-jobs | app.py | app.py | py | 11,954 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "config.username",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "config.password",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "config.db",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.create_engine",
... |
28502546291 | # 572. Subtree of Another Tree
# Easy
# Given the roots of two binary trees root and subRoot, return true if
# there is a subtree of root with the same structure and node values of
# subRoot and false otherwise.
# A subtree of a binary tree tree is a tree that consists of a node in
# tree and all of this node's desc... | DmitryVlaznev/leetcode | 572-subtree-of-another-tree.py | 572-subtree-of-another-tree.py | py | 1,648 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "typing.Optional",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "utils.TreeNode",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "collections.deque",
"line_number": 41,
"usage_type": "call"
}
] |
6964523370 | import warnings
from typing import List, Optional, Tuple, Union
import torch
import torch.nn.functional as F
from torch import Tensor
def _fspecial_gauss_1d(size: int, sigma: float) -> Tensor:
r"""Create 1-D gauss kernel
Args:
size (int): the size of gauss kernel
sigma (float): sigma of norma... | VainF/pytorch-msssim | pytorch_msssim/ssim.py | ssim.py | py | 11,841 | python | en | code | 864 | github-code | 21 | [
{
"api_name": "torch.arange",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.float",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "torch.exp",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.Tensor",
"line_numb... |
23191353800 | from libcloud.common.base import BaseDriver
from urllib.parse import urlparse
from ..common.azure import AzureGenericOAuth2Connection
from .azure_blobs import AzureBlobsOAuth2StorageDriver
class AzureResourceManagementStorageDriver(BaseDriver):
connectionCls = AzureGenericOAuth2Connection
name = 'Azure Stora... | JoelLinn/debian-cloud-images | src/debian_cloud_images/utils/libcloud/storage/azure_arm.py | azure_arm.py | py | 2,465 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "libcloud.common.base.BaseDriver",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "common.azure.AzureGenericOAuth2Connection",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "urllib.parse.urlparse",
"line_number": 45,
"usage_type": "call"
... |
23128657970 | import torch
from torch import nn
from torch.utils.data import Dataset
from torchvision import datasets
class FlaresDataset(Dataset):
def __init__(self, df, feature_names):
self.dataframe = df[feature_names]
self.labels = df["is_flare"]
def __len__(self):
return len(self.dataframe)
... | snad-space/flare-classifier | src/flare_classifier/mlp_model.py | mlp_model.py | py | 1,497 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.tensor",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.float32",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "torch.tensor"... |
17310863244 | import unittest
import logging
import shgpy
from shgpy.fformfit import (
least_squares_fit,
least_squares_fit_with_bounds,
basinhopping_fit,
basinhopping_fit_with_bounds,
basinhopping_fit_jac,
basinhopping_fit_jac_with_bounds,
dual_annealing_fit_with_bounds,
gen_cost_func,
)
import shg... | bfichera/shgpy | tests/test_fformfit.py | test_fformfit.py | py | 7,388 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "shgpy.load_fform",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "shgpy.load_... |
22679067592 | from django.forms import ModelForm
from .widgets import DateSelectorWidget, TimeSelectorWidget
from .models import *
class AircraftForm(ModelForm):
class Meta:
model = Aircraft
fields = '__all__'
class PeopleForm(ModelForm):
class Meta:
model = People
fields = '__all__'
cl... | kulu88/logbook | logbook/logo/forms.py | forms.py | py | 1,374 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.forms.ModelForm",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "django.forms.ModelForm",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "d... |
13065521381 | # -*- coding: utf-8 -*-
"""The app module, containing the app factory function."""
import logging
import sys
from flask import Flask, render_template
from challenge import models, views
from challenge.extensions import (
csrf_protect,
db,
flask_static_digest,
login_manager,
migrate,
)
def create... | cloudsmith-io/technical-challenge-ui | challenge/app.py | app.py | py | 2,046 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "challenge.extensions.csrf_protect.init_app",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "challenge.extensions.csrf_protect",
"line_number": 39,
"usage_type": "name"
},
... |
42659384135 | import numpy as np
import os
import multiprocessing
import copy
from . import solve
from . import choice_formatter
from . import util
from . import parse_ompl
from . import matio
try:
import pygeokey
except ImportError as e:
util.warn("[WARNING] CANNOT IMPORT pygeokey. This node is incapable of geometric based... | xinyazhang/PuzzleTunnelDiscovery | src/GP/pipeline/geometrik.py | geometrik.py | py | 11,938 | python | en | code | 72 | github-code | 21 | [
{
"api_name": "copy.deepcopy",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_... |
27564231333 | from typing import Annotated, Callable
from ...utils.function_calling.parser import parse_function_call_from_function
from .base import FunctionCall
class FunctionCallsMetaClass(type):
"""Metaclass for FunctionCalls class.
This metaclass is used to parse all functions in the FunctionCalls class
into Func... | c0sogi/openai-functioncalling-requestor | app/models/function_calling/functions.py | functions.py | py | 4,313 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "base.FunctionCall",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "utils.function_calling.parser.parse_function_call_from_function",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "typing.Callable",
"line_number": 22,
"usage_type": "nam... |
2485156987 | import json
from logging import LoggerAdapter, basicConfig, getLogger
DEFAULT_LOG_LEVEL = 'INFO'
LOG_FORMAT = dict(
timestamp='%(asctime)s',
level='%(levelname)s',
module='%(name)s',
version='%(version)s',
user_id='%(user_id)s',
request_id='%(request_id)s',
trace_id='%(trace_id)s',
mes... | avilay/context-logger | context_logger.py | context_logger.py | py | 1,334 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.LoggerAdapter",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "logging.basicConfig",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "logging.getLogge... |
74367407412 | import argparse
import arxiv
import openai
import os
import tiktoken
from summarizer import *
from arxiv_scrape import *
# Set your OpenAI API key
openai.api_key = "YOUR_OPENAI_API_KEY"
def generate_summary(text):
# Use OpenAI API to generate a summary
response = openai.Completion.create(
engine="tex... | user074/AgentLab | main.py | main.py | py | 2,335 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "openai.api_key",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "openai.Completion.create",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "openai.Completion",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "ar... |
24022792448 | """Ubermelon shopping application Flask server.
Provides web interface for browsing melons, seeing detail about a melon, and
put melons in a shopping cart.
Authors: Joel Burton, Christian Fernandez, Meggie Mahnken.
"""
from flask import Flask, render_template, redirect, flash, session
import jinja2
import melons
... | manishapme/hb_shopping_site | shoppingsite.py | shoppingsite.py | py | 3,818 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "jinja2.StrictUndefined",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "flask.render_template",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "melons.... |
26912433489 | import glob
import faiss
import torch
from torchvision import io
from torch.utils.data import Dataset, DataLoader
class ImageDataset(Dataset):
def __init__(self, transforms_path, file_path_wildcard):
self.transforms = torch.jit.load(transforms_path)
self.files = glob.glob(file_path_wildcard)
... | MrParosk/visual-search-system | nearest-neighbor-index-creation/main.py | main.py | py | 1,213 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.jit.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.jit",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "glob.glob",
... |
1940485608 | # -*- coding: utf-8 -*-
import os
import math
import requests
import numpy as np
import pandas as pd
from prophet import Prophet
import matplotlib.pyplot as plt
from scipy.interpolate import interp1d
from datetime import datetime, timedelta
from functions import logger
def empty_arrays(parameters, start, end, no_dat... | eawag-surface-waters-research/alplakes-simulations | src/river.py | river.py | py | 14,807 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "numpy.arange",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.ti... |
528243765 | import logging
import os
import subprocess
import sys
import time
from concurrent.futures.thread import ThreadPoolExecutor
from threading import Thread
import requests
from requests import RequestException
from requests.compat import urljoin
USER_AGENT = 'Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:68.0) Gecko/201001... | izag/bonga | session.py | session.py | py | 4,313 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "logging.Formatter",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "concurrent.fut... |
72308435253 | from __future__ import print_function
import os
import boto3
import traceback
import click
import subprocess
import logging
import click_log
import sys
from botocore.exceptions import WaiterError
from pprint import pformat
logger = logging.getLogger(__name__)
click_log.basic_config(logger)
DEFAULT_COLOR = "blue"
OTH... | asgorobets/ecs-deployer | deploy.py | deploy.py | py | 18,180 | python | en | code | 8 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "click_log.basic_config",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "boto3.client",
... |
15616346167 | import pandas as pd
from pytorch_lightning import LightningDataModule
from torch.utils.data import DataLoader
from typing import Optional
import spacy
from datasets import Dataset
from transformers import LongformerTokenizer
class CNNDailyMailDataset(Dataset):
def __init__(self,
dataframe: pd.Dat... | SecilOzkSen/LongDocSummarizer | dataset_loader.py | dataset_loader.py | py | 4,396 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datasets.Dataset",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "pandas.DataFrame",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "transformers.LongformerTokenizer",
"line_number": 13,
"usage_type": "name"
},
{
"api_name"... |
74477258931 | '''
This module has ready to use sqlite query functions.
'''
from datetime import datetime
import sqlite3
# connect to database
conn = sqlite3.connect('notes.db')
# create a cursor
c = conn.cursor()
def create_table():
'''
create notes table in database.
'''
c.execute(""" CREATE TABLE IF N... | Fareed-Ahmad7/Kitaab | kitaab/src/database.py | database.py | py | 3,453 | python | en | code | 15 | github-code | 21 | [
{
"api_name": "sqlite3.connect",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.today",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 81,
"usage_type": "name"
},
{
"api_name": "datetime.dat... |
13197807425 | from common.random_arr import random_arr
from common.check_sort import checkSort
import time
def insertion_sort(a, N):
for i in range(2, N+1):
a[0] = a[i]
j = i
while j-1 != 0 and a[j-1] > a[0]:
a[j] = a[j-1]
j -= 1
a[j] = a[0]
return a
N = 1000
a ... | Eui9179/python-study | Algorithm_lecture/2/insertion_sort.py | insertion_sort.py | py | 510 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "common.random_arr.random_arr",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "common.check_sort.ch... |
70561057334 | from fastapi import FastAPI
from database import engine
from restaurant import router, models
app = FastAPI()
models.BaseModel.metadata.create_all(bind=engine)
app.include_router(router.router, prefix="/api", tags=["Restaurants"])
@app.get(
"/",
name="Info",
description="Basic info about **Restaurants... | turtlean/restaurant-api | api/main.py | main.py | py | 533 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "restaurant.models.BaseModel.metadata.create_all",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "restaurant.models.BaseModel",
"line_number": 8,
"usage_type": "attribute"
... |
39904937122 | import json
from urllib.parse import urljoin
import logging
from notification_provider import provider
from utils.config_reader import AbsConfigReader
from utils.helper import get_request_controller
class PushDeerNotificationProvider(provider.NotificationProvider):
def __init__(self, name: str, config_reader: A... | opennaslab/kubespider | kubespider/notification_provider/pushdeer_notification_provider/provider.py | provider.py | py | 2,297 | python | en | code | 1,636 | github-code | 21 | [
{
"api_name": "notification_provider.provider.NotificationProvider",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "notification_provider.provider",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "utils.config_reader.AbsConfigReader",
"line_number": ... |
24295550553 | """General helpers + utilities
Adapted from `mammoth`.
.. codeauthor:: Raymond Ehlers <raymond.ehlers@cern.ch>, LBL/UCB
"""
from __future__ import annotations
import logging
from datetime import datetime
from typing import Optional
import rich
import rich.progress
from rich.console import Console
from rich.logging... | jdmulligan/bayesian-inference | src/bayesian_inference/helpers.py | helpers.py | py | 3,507 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "rich.console.Console",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "rich.logging.RichHandler",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "loggi... |
30889792340 | import matplotlib.image as mpimg
import os
from PIL import Image
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
dirListing = os.listdir('./dataset') # Access the directory
editFiles = []
for item in dirListing:
if ".jpg" in item:
editFiles.append('./dataset' +'/'+... | ArhantJain/Classifier-Analysis | Codes/linear_classfier.py | linear_classfier.py | py | 1,974 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.listdir",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number":... |
42633797032 | import collections
import shlex
import subprocess
import pyrelight
from pyrelight import PyrelightError
PyrelightSubprocessResult = collections.namedtuple(
"PyrelightSubprocessResult", ["returncode", "output"]
)
def quote_cmdline(cmdline):
return " ".join(map(shlex.quote, cmdline))
def run(cmdline, check... | radian-software/pyrelight | pyrelight/util.py | util.py | py | 1,272 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.namedtuple",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "shlex.quote",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "subprocess.run",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE... |
70459750773 | import dataPrep
import os
import time
import sys
import threading
import numpy
import requests
import json
SERVER_URL = 'http://localhost:8502/v1/models/spm'
def main():
if not SERVER_URL:
print('please specify server host:port')
return
video_fname = "/data/dataset/jackson-town-square.mp4"
... | bg43179/Distributed-NoScope | specializedNN/testClient_rest.py | testClient_rest.py | py | 1,631 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "dataPrep.get_data_for_test",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 49,
"usage_type": "call"
}
] |
31868430481 | from __future__ import print_function
import sys
import unittest
import datetime as dt
import SimpleITK as sitk
import numpy as np
sizeX = 4
sizeY = 5
sizeZ = 3
newSimpleITKPixelValueInt32 = -3000
newNumPyElementValueInt32 = 200
class TestNumpySimpleITKMemoryviewInterface(unittest.TestCase):
""" This tests ... | hyunjaeKang/SimpleITKDataBridge | sitkGetArrayViewFromImageTest.py | sitkGetArrayViewFromImageTest.py | py | 10,311 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "unittest.TestCase",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "SimpleITK.Image",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "SimpleITK.GetArrayFromImage",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "Si... |
27037147273 | from gensim.models.fasttext import FastText
from hangul_utils import split_syllables, join_jamos
import numpy as np
import pickle
with open('./konovel_preprocessed.pkl', 'rb') as f:
texts = pickle.load(f)
# 자모 분해 예시
jamo = split_syllables('안녕하세요')
word = join_jamos(jamo)
print(jamo)
print(word)
result = []
tmp = ... | dobbytk/NLP_study | Multicampus/NLP/day30/FastText_jamo.py | FastText_jamo.py | py | 914 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pickle.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "hangul_utils.split_syllables",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "hangul_utils.join_jamos",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "hangu... |
11095104545 | """
Script to convert openpose output into bbox
"""
import json
import numpy as np
def read_json(json_path):
with open(json_path) as f:
data = json.load(f)
kps = []
for people in data['people']:
kp = np.array(people['pose_keypoints']).reshape(-1, 3)
kps.append(kp)
return kps
... | fredericgo/learning_from_video | hmr/src/util/openpose.py | openpose.py | py | 2,180 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "json.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "numpy.argmax",
"line_number": 66... |
11379765547 | """doctor all fees
Revision ID: 1db73cdab656
Revises: 472f2568b3dd
Create Date: 2022-11-30 17:33:42.539505
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '1db73cdab656'
down_revision = '472f2568b3dd'
branch_labels = None
depends_on = None
def upgrade():
... | Arif-Badhon/echamber_backend | src/alembic/versions/1db73cdab656_doctor_all_fees.py | 1db73cdab656_doctor_all_fees.py | py | 1,494 | python | en | code | 0 | github-code | 21 | [
{
"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.Float",... |
17516271644 | import logging
import cv2
import mediapipe as mp
import math
from src.utils import Utils
class Process:
def __init__(self, static_image_mode=False, max_num_hands=2):
# 参数
self.mp_drawing = mp.solutions.drawing_utils # 初始化medialpipe的画图函数
self.mp_drawing_styles = mp.solutions.drawing_style... | ligb888/hand-gesture | src/process.py | process.py | py | 11,808 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "mediapipe.solutions",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "mediapipe.solutions",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "mediapipe.solutions",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_na... |
3938397113 | #
# commonUtils.py
#
import socket
import sys
import pymongo
from commonConfig import *
def connectMongo():
if socket.gethostname() == 'system76-pc':
# Home server
myclient = pymongo.MongoClient("mongodb://10.0.0.20:27017")
else:
# Assume work server
myclient = pymongo.Mong... | GaryVermeulen/Simpleton | commonUtils.py | commonUtils.py | py | 6,572 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "socket.gethostname",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 20,
"usage_type": "call"
}
] |
6155330941 | import requests
from bs4 import BeautifulSoup
LIMIT = 50
def JOB_LINK(id):
return f"http://www.saramin.co.kr/zf_user/jobs/relay/view?isMypage=no&rec_idx={id}"
def get_last_pages(url):
result = requests.get(url)
soup = BeautifulSoup(result.text, 'html.parser')
pagination = soup.find("div", {"class":... | nomad-learn/python-basic | scrapper.py | scrapper.py | py | 1,957 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"... |
18298666303 | #!/usr/bin/env python3
import os
import sys
import time
import logging
import subprocess as sp
import multiprocessing as mp
import pickle
import traceback
import itertools
import shutil
import re
import math
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import pandas as pd
from QAUtil import *
from QAR... | putintostyle/intern | fs_autotune/QAJobRunner.py | QAJobRunner.py | py | 26,936 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.stdout",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "tqdm.tqdm",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
... |
21812777301 | import itertools
class valStruct:
def __init__(self, value, valueL, valueR, operator):
self.value = value
self.valueL = valueL
self.operator = operator
self.valueR = valueR
def __repr__(self):
if self.operator == None:
return str(self.value)
return... | 121601571/samplek8s | src/calc24.py | calc24.py | py | 3,152 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "itertools.combinations",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "itertools.combinations",
"line_number": 68,
"usage_type": "call"
}
] |
28822715642 | import json
from allauth.socialaccount.adapter import DefaultSocialAccountAdapter
from django.conf import settings
class RichAdapter(DefaultSocialAccountAdapter):
def populate_user(self,
request,
sociallogin,
data):
"""
Hook that c... | deniskolokol/flickthru | flickthru/apps/core/adapter.py | adapter.py | py | 1,163 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "allauth.socialaccount.adapter.DefaultSocialAccountAdapter",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "json.dumps",
"line_number": 29,
"usage_type": "call"
}
] |
41859738600 | import logging
import configargparse
import github3
from pr_publisher import const
from pr_publisher.entry import PublishEntry
from pr_publisher.publishers.slack import SlackPublisher
from pr_publisher.publishers.table import TablePublisher
class Main:
PUBLISHERS = {"table": TablePublisher, "slack": SlackPubli... | pglass/pr-publisher | pr_publisher/main.py | main.py | py | 6,039 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pr_publisher.publishers.table.TablePublisher",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "pr_publisher.publishers.slack.SlackPublisher",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "logging.basicConfig",
"line_number": 19,
"usage... |
3114818564 | '''
Created on Aug. 1, 2020
@author: zollen
'''
import os
from pathlib import Path
import pandas as pd
import numpy as np
import tensorflow as tf
from sklearn.model_selection import train_test_split
import matplotlib.pyplot as plt
BATCH_SIZE = 20
EPOCHS = 30
STEPS_PER_EPOCH = 1
SEED = 0
label_column = [ 'survived' ... | zollen/Python-ML | titanic/titanic_ml.py | titanic_ml.py | py | 5,220 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.subplot",
"line_number": 33,
"usage_type": "call"
},
{
"api_n... |
70619769334 | # train.py
import io
import time
import torch
import h5py
import numpy as np
import pandas as pd
# using tensorflow for padding and other utils
import tensorflow as tf
from sklearn import metrics
import config
import dataset
import engine
import lstm
def load_vectors(fname):
fin = io.open(fname, "r", encoding... | LakshyaMalhotra/toy-projects-nlp | imdb-sentiment-analysis/good-old-nlp/train.py | train.py | py | 5,361 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "io.open",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.preprocessing.text.Tokenizer",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "ten... |
29471707643 | ## referenced Harvard CS205 Course Material Lecture C3
## https://harvard-iacs.github.io/2021-CS205/lectures/C3/
from pyspark import SparkConf,SparkContext
from pyspark.streaming import StreamingContext
from pyspark.sql import Row,SQLContext
import sys, os, requests, time, math
import datetime as dt
import yfinance as... | YutingYao/YutingDB | GeoBigData/SPARK/Spark_Kafka_RDD_Humidity/03 - LSTM.py | 03 - LSTM.py | py | 6,489 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "tensorflow.compat.v1.logging.set_verbosity",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tensorflow.compat",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 25,
"usage_type": "call"
},
{
"api_... |
30126192711 |
import os
from Cryptodome.Protocol.KDF import scrypt
from Cryptodome.Random import get_random_bytes
SCRYPT_SALT_LEN = 16
SCRYPT_DERIVED_KEY_LEN = 16
SCRYPT_N = 2**20
SCRYPT_R = 8
SCRYPT_P = 1
class Key:
"""
A class to represent an encryption key.
"""
def __init__(self, key, salt=None, salt_len=SCRYP... | tjdistler/dev | file_utils/crypto/utils.py | utils.py | py | 1,231 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "Cryptodome.Random.get_random_bytes",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "Cryptodome.Protocol.KDF.scrypt",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 38,
"usage_type": "call"
},
{
"api_n... |
72236131892 | from os.path import splitext
import matplotlib.pyplot as plt
def plot_history(outpath, legend=[], plots=[]):
fig_path = ''.join(splitext(outpath)[:-1] + ('.png',))
for i in range(len(plots)):
plt.subplot()
plt.xlabel('Epoch')
plt.ylabel(legend[i])
plt.plot(range(len(plots[i])), ... | chengui/torch-nmt | nmt/util/plot.py | plot.py | py | 357 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "os.path.splitext",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplot",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "matplotlib.... |
33300871538 | # coding: utf-8
import uuid
from odoo import api, fields, models, _
from odoo.http import request
from odoo.addons.payment.models.payment_acquirer import ValidationError
from yandex_checkout import Configuration, Payment
from werkzeug import urls
import logging
_logger = logging.getLogger(__name__)
class YandexAcqu... | ERP-SWISS/Yandex-Checkout | payment_yandex/models/payment.py | payment.py | py | 3,503 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "odoo.models.Model",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "odoo.fields.Sele... |
26215443901 | import requests
headers = {'user-agent':'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36'}
url = 'https://www.shanbay.com/api/v1/vocabtest/category/?_=1588432774826'
res = requests.get(url,headers=headers)
res = res.json()['data']
for i in r... | oldfatdog/Crawler | 07 爬取知乎文章/爬取扇贝单词.py | 爬取扇贝单词.py | py | 2,176 | python | zh | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 20,
"usage_type": "call"
}
] |
8051253788 | """
Vergleich der Radar Momente von RADOLAN und deren ZEITLICH VERSCHIEBUNG
"""
import h5py
import numpy as np
import glob
import wradlib
import datetime as dt
from osgeo import osr
import matplotlib.pyplot as plt
from satlib import read_rado
t1, t2 = "20170307024500", "20170307025000"
x, y, z, bz = read_rado(t1... | vecoveco/gpm | pcc__RadoRado.py | pcc__RadoRado.py | py | 4,874 | python | en | code | 13 | github-code | 21 | [
{
"api_name": "satlib.read_rado",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "satlib.read_rado",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "matplotlib... |
21499569937 | import inspect
import warnings
import autograd.numpy as np
from scipy.optimize import minimize
import surpyval
from ..parametric.fitters import bounds_convert, fix_idx_and_function
from .regression import Regression
class ParameterSubstitutionFitter:
def __init__(
self,
kind,
name,
... | derrynknife/SurPyval | surpyval/regression/parameter_substitution.py | parameter_substitution.py | py | 10,711 | python | en | code | 40 | github-code | 21 | [
{
"api_name": "autograd.numpy.array",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "autograd.numpy",
"line_number": 57,
"usage_type": "name"
},
{
"api_name": "autograd.numpy.isscalar",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "autograd.... |
18604430361 | import requests
from flask import Flask, session, render_template
import threading
class UrlFuzzer(threading.Thread):
def __init__(self, website):
threading.Thread.__init__(self)
self.website = website
self.count = 0
self.results = []
self.current = ""
def run(self):
... | omkar2810/website_scanner | fuzzer.py | fuzzer.py | py | 757 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "threading.Thread",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "re... |
34700209623 | #!/usr/bin/env python3
import os
import sys
import numpy
import shutil
import tempfile
import subprocess
from casacore.tables import table
def smart_int(value):
for i in range(len(value)):
try:
return int(value[i:], 10)
except ValueError:
pass
raise ValueError("Cannot... | lwa-project/ovro_data_recorder | utils/show_ms_info.py | show_ms_info.py | py | 5,080 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "os.path.isdir",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 56,
"usage_type": "attribute"
},
{
"api_name": "tempfile.mkdtemp",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "subprocess.check_call",
... |
10148087354 | # -*- coding: utf-8 -*-
"""
Created on Thu Feb 21 09:42:13 2019
@author: jamontol
"""
from scipy.optimize import minimize
import numpy as np
# Define the likelihood function where params is a list of initial parameter estimates
def regressLL(params):
import scipy.stats as stats
# Resave the initial paramet... | jamontol/Forecasting-Residential | Regression_MLE.py | Regression_MLE.py | py | 1,167 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "numpy.sum",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "scipy.stats.norm.logpdf",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "scipy.stats.norm",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "scipy.stats",... |
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