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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
27728505423 | import os
import sys
import builtins
import versioneer
if sys.version_info[:2] < (3, 7):
raise RuntimeError("Python version >= 3.7 required.")
builtins.__CALLSEQ_SETUP__ = True
if os.path.exists('MANIFEST'):
os.remove('MANIFEST')
CONDA_BUILD = int(os.environ.get('CONDA_BUILD', '0'))
CONDA_ENV = os.environ.g... | pearu/callseq | setup.py | setup.py | py | 2,892 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "sys.version_info",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "builtins.__CALLSEQ_SETUP__",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os... |
40445929542 | from abc import abstractmethod, ABCMeta
from typing import Type, Union, Callable, Literal
from turbosnake._utils0 import have_differences_by_keys
class LayoutManagerABC(metaclass=ABCMeta):
__slots__ = ('container', 'settings', 'active')
SELF_LAYOUT_PROPS = ()
CHILD_LAYOUT_PROPS = ()
def __init__(sel... | AlexeyBond/turbosnake | turbosnake/ttk/_layout.py | _layout.py | py | 7,683 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "abc.ABCMeta",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "abc.abstractmethod",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "abc.abstractmethod",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "turbosnake._utils0.h... |
42604977343 | #!/usr/bin/env python
"""
Young-Jae Choi
Computational Nano-Physics Laboratory
Physics Dept. POSTECH, Pohang, South Korea.
"""
import numpy as np
import datetime
import pickle as pckl
from subprocess import call
def get_neighbors(
alist,
bond_cutoff,
bond_rules=None,
dtype='float64',
... | hitergelei/tools | structure_analyses.py | structure_analyses.py | py | 64,218 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 40,
... |
19143426803 | #!/usr/bin/env python
#
# test_texttag.py -
#
# Author: Paul McCarthy <pauldmccarthy@gmail.com>
#
import wx
from . import run_with_wx, simclick, simtext, simkey, addall, realYield
import fsleyes_widgets.texttag as tt
def simtexttt(panel, text):
panel.newTagCtrl.ChangeValue(text)
panel._TextTagPanel__onTextC... | pauldmccarthy/fsleyes-widgets | fsleyes_widgets/tests/test_texttag.py | test_texttag.py | py | 11,510 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "wx.GetApp",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "fsleyes_widgets.texttag.StaticTextTag",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "fsleyes_widgets.texttag",
"line_number": 23,
"usage_type": "name"
},
{
"api_name"... |
2555614427 | import sys
import os
import numpy as np
from PIL import Image
import torchvision
from torch.utils.data.dataset import Subset
from sklearn.metrics.pairwise import cosine_similarity, euclidean_distances
import torch
import torch.nn.functional as F
import random
def get_webvision(root, cfg_trainer, num_samples=0, train=... | shengliu66/ELR | ELR_plus/data_loader/webvision.py | webvision.py | py | 4,866 | python | en | code | 271 | github-code | 6 | [
{
"api_name": "torch.utils",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image.open",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "torch.utils",
"line_num... |
22702592699 | import logging
import random
import traits
from alleles import *
logging.basicConfig(filename='debug.txt',level=logging.DEBUG, filemode='w')
class Organism(dict):
def __init__(self, alleles, traits, id):
self.id = id
self.alleles = alleles
self.traits = traits
for trait in traits:
... | Adrian-Grey/EvoProject | traitexample.py | traitexample.py | py | 1,808 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "logging.debug",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.debug",
... |
26040183296 | from __future__ import annotations
import dataclasses
import logging
from dataclasses import dataclass
from typing import Any, Iterable
from pants.backend.helm.dependency_inference import chart as chart_inference
from pants.backend.helm.resolve import fetch
from pants.backend.helm.resolve.artifacts import ResolvedHel... | pantsbuild/pants | src/python/pants/backend/helm/util_rules/chart.py | chart.py | py | 10,507 | python | en | code | 2,896 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "pants.engine.target.Target",
"line_number": 58,
"usage_type": "name"
},
{
"api_name": "pants.backend.helm.target_types.HelmChartTarget.alias",
"line_number": 59,
"usage_type": "at... |
13266626912 | from django.shortcuts import render, HttpResponseRedirect
from .forms import ShopUserLoginForm, ShopUserRegistrationForm, ShopUserEditForm
from django.contrib import auth
from django.urls import reverse
def login(request):
if request.method == 'POST':
username = request.POST['username']
password =... | lulek4ever/SNV_project | bookshop/authapp/views.py | views.py | py | 1,756 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.auth.authenticate",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.login",
"line_number": 13,
"usage_type": "call"
},
{
"ap... |
39465467650 | from flask import render_template, request, render_template_string, flash, current_app, redirect
from multiprocessing import Process
import re
import urlparse
from ..app import db
from . import dankblog
from .models import Post
@dankblog.before_app_first_request
def init_flag():
if (db.session.query(Post).count() ... | Himanshukr000/CTF-DOCKERS | FreeLancerCTF/web/simpleior/content/app/dankblog/views.py | views.py | py | 1,430 | python | en | code | 25 | github-code | 6 | [
{
"api_name": "app.db.session.query",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "models.Post",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "app.db.session",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "app.db",
... |
37430060253 | # -*- coding: utf-8 -*-
"""
Created on Fri Nov 3 11:07:00 2017
BP test
@author: OneTree
"""
import numpy as np
import NeuralNetwork as nn
import matplotlib.pyplot as plt
# =============================================================================
# # XOR problem
# X = np.array([[0, 0], [0, 1], [1, 0], [1, 1]])
... | onetree1994/CI-Course--WangTian | 20171103_BP_XOR_SIN.py | 20171103_BP_XOR_SIN.py | py | 1,127 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.linspace",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "numpy.sin",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"... |
9020023484 | import networkx as nx
from liftoff import aligned_seg, liftoff_utils, new_feature
import numpy as np
def find_best_mapping(alignments, query_length, parent, feature_heirarchy, previous_feature_start,
previous_feature_ref_start, previous_gene_seq,
inter,lifted_features_list,... | agshumate/Liftoff | liftoff/find_best_mapping.py | find_best_mapping.py | py | 19,036 | python | en | code | 360 | github-code | 6 | [
{
"api_name": "liftoff.liftoff_utils.merge_children_intervals",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "liftoff.liftoff_utils",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "networkx.DiGraph",
"line_number": 29,
"usage_type": "call"
},
{
... |
7456286085 | #!/usr/bin/env python3
import os
import re
import argparse
import subprocess
DEPEND = {
"basis.f": ["eval.f", ],
"rhf.f": ["mtrx.f", "eval.f", "basis.f", ],
"uhf.f": ["mtrx.f", "eval.f", "basis.f", ],
"rohf.f": ["mtrx.f", "eval.f", "basis.f", "uhf.f", ],
"ci.f": ["mtrx.f", "eval.f", "basis.f", "uga... | kyasci/qcref | src/_utest.py | _utest.py | py | 1,825 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "re.sub",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "subprocess.check_call",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "subprocess.CalledProcessError",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "subpr... |
22459973531 | import pandas as pd
from tqdm import tqdm
import json
import config
from tweet_parser.tweet import Tweet
from tweet_parser.tweet_parser_errors import NotATweetError
from os import path
import glob
import gzip
def create_tweet_df():
"""
Creates a pandas dataframe representing all of the coronavirus tweets stor... | kyranstar/chrp-twitter-analysis | build_tweet_df.py | build_tweet_df.py | py | 2,750 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.DataFrame",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "config.DATA_FOLDERS",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
5775197489 | from zypr.fpga import Build as FPGA
from zypr.utils import logging
import sys
from pathlib import Path
import pytest
logger = logging.init_logger(
__name__, verbose=True, testing_mode=True)
f = FPGA(json="demo/test.json", logger=logger, force=True)
f.protocol_dict = {'SIGNAL': {'CLOCK': [['clk']], 'INTERRUPT': [[... | accl-kaust/zypr | zypr/tests/unit/test_fpga.py | test_fpga.py | py | 2,106 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "zypr.utils.logging.init_logger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "zypr.utils.logging",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "zypr.fpga.Build",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pathl... |
41963632921 | import gevent
import numpy
from PyMata.pymata import PyMata
def main():
port = '/dev/ttyACM0'
base = 0.3
gust = numpy.sin(numpy.linspace(0, 2 * 3.14, 100))
wind = base + (0.1) * gust
print(wind)
board = PyMata(port, verbose=True)
GAUGE_PIN = 6
POTENTIOMETER_ANALOG_PIN = 0
board... | mastensg/windportal | firmware/gauge.py | gauge.py | py | 1,067 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "numpy.sin",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "PyMata.pymata.PyMata",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "gevent.sleep",
"lin... |
29579825180 | # -*- coding: utf-8 -*-
"""
Created on Fri Dec 7 11:57:54 2018
@author: Akitaka
"""
# 1：ライブラリのインポート--------------------------------
import numpy as np #numpyという行列などを扱うライブラリを利用
import pandas as pd #pandasというデータ分析ライブラリを利用
import matplotlib.pyplot as plt #プロット用のライブラリを利用
from sklearn import cluster, preproces... | nakanishi-akitaka/python2018_backup | 1207/ml9.py | ml9.py | py | 1,893 | python | ja | code | 5 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": ... |
33063558215 | from concurrent import futures
import os
import grpc
import mensaje_pb2
import mensaje_pb2_grpc
from google.protobuf.json_format import MessageToDict
HOST = '[::]:50051'
class ProductService(mensaje_pb2_grpc.ProductServiceServicer):
def AddProduct(self, request, context):
print(request)
if str(requ... | Jpyepes/topicosTelematica | gRPC/server.py | server.py | py | 1,060 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "mensaje_pb2_grpc.ProductServiceServicer",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "me... |
21371508136 | from typing import Optional, List
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.modules.loss import _Loss
import numpy as np
BINARY_MODE: str = "binary"
MULTICLASS_MODE: str = "multiclass"
MULTILABEL_MODE: str = "multilabel"
def to_tensor(x, dtype=None) -> torch.Tensor:
if isin... | PhysiologicAILab/SAM-CL | lib/loss/dice_loss.py | dice_loss.py | py | 6,423 | python | en | code | 12 | github-code | 6 | [
{
"api_name": "torch.Tensor",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.ndarray",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "torch.from_numpy",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.array",
... |
30163192096 | import numpy as np
from torch.utils import data
from typing import Any
# Data generator
class data_generator(data.Dataset):
def __init__(self, u, y, s):
self.u, self.y, self.s = u, y, s
self.len = self.u.shape[0]
def __len__(self):
return self.len
def __getitem__(self, idx):
... | cmoyacal/DeepONet-Grid-UQ | src/utils/data_structures.py | data_structures.py | py | 1,057 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "numpy.load",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.utils.d... |
23762011609 |
#create a sqlite3 data base 1st using the command
# sqlite3 test.db
# and then run the code
import sqlite3
conn = sqlite3.connect('/home/avishek/test.db')
c = conn.cursor()
def create_table():
c.execute('DROP TABLE IF EXISTS Data2 ')
c.execute('CREATE TABLE Data2 (TX TEXT, RX TEXT, SNR TEXT)')
def inser... | pursuitdan/integration | database_entry.py | database_entry.py | py | 867 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sqlite3.connect",
"line_number": 9,
"usage_type": "call"
}
] |
72002258428 | from django.shortcuts import render
from django.http import HttpResponse
from django.http import Http404
from .models import Product
# import the logging library
import logging
# Get an instance of a logger
logger = logging.getLogger(__name__)
# Create your views here.
def StronaGlowna(request):
try:
if... | JakubNaskretski/test-ln-site | mainapp/views.py | views.py | py | 2,040 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponse",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "dj... |
45364855473 | from airflow.hooks.postgres_hook import PostgresHook
from airflow.models import BaseOperator
from airflow.utils.decorators import apply_defaults
import logging
class DataQualityOperator(BaseOperator):
"""
DataQualityOperator for data quality check of data pipelines
INPUT:
- tables : List tabl... | pakpoom66/Udacity_DataPipelines_with_Airflow_Project | home/airflow/plugins/operators/data_quality.py | data_quality.py | py | 1,699 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "airflow.models.BaseOperator",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "airflow.utils.decorators.apply_defaults",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "airflow.hooks.postgres_hook.PostgresHook",
"line_number": 36,
"usage_t... |
20346241537 | #python script to comunicate with arduino and performs actions
#pip3 install pyserial pynput ansicon
import ctypes
print("Hiding console window quickly")
import serial
import serial.tools.list_ports
import os
import time
import sys
import ansicon
import threading
from pystray import MenuItem as item,Menu
... | NCPlyn/ArDash | ArDash.py | ArDash.py | py | 4,085 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "ansicon.load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "ctypes.windll.user32.ShowWindow",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "ctypes.windll",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "ctype... |
34245530713 | # Import module
from tkinter import *
import os
from tkinter import *
import tkinter as tk
import cv2
import os
import string
from tkinter import filedialog
from PIL import Image
from PIL import Image, ImageTk
def resize_image(event):
window_width = event.width
window_height = event.heigh... | Sukeerthi123/Image-Steganography | imagesteganography.py | imagesteganography.py | py | 8,007 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PIL.Image.ANTIALIAS",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "PIL.ImageTk.PhotoImage",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "PIL.ImageTk... |
6385501933 | import json
def clear_avito_json(json_file, utf=True):
with open('./data/avito.json', 'rb') as f:
avito_json = json.load(f)
avito_json_clear = []
avito_unic_urls = []
for t_p in avito_json:
if t_p['title'] is not None:
t_p_title = t_p['title'].strip()
t_p_price ... | MindVersal/test_scrapy | tutorial/tutorial/avito_test_clear.py | avito_test_clear.py | py | 1,123 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 28,
"usage_type": "call"
}
] |
15867579774 | # -*- coding: utf-8 -*-
"""
Created on Wed May 26 14:56:26 2021
@author: Zigron
"""
#import libraries
import numpy as np
import pandas
import matplotlib.pyplot as plt
from tabulate import tabulate
from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import train_test_split
from ... | junaid340/BTC_Price-Predictor | Training.py | Training.py | py | 3,281 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "tabulate.tabulate",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "tabulate.tabulate",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot... |
9058541597 | """Flask app for Cupcakes"""
from flask import Flask, request, redirect, render_template, flash, jsonify
from flask_debugtoolbar import DebugToolbarExtension
import flask_sqlalchemy
from models import db, connect_db, Cupcake
from functions import serial_cupcake
from form import AddCupcakeForm
app = Flask(__name__)
ap... | shawn0531-max/Springboard | Cupcakes/app.py | app.py | py | 2,313 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask_debugtoolbar.DebugToolbarExtension",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "models.connect_db",
"line_number": 17,
"usage_type": "call"
},
{
"api_name":... |
35176830235 | import os, time, sys
from pathlib import Path
os.system("cls" if os.name=="nt" else "clear")
os.chdir(Path(__file__).parent)
def check(noprint=None):
if os.path.exists("users"):
if not any(os.scandir("users")):
os.system("python3 3login.py register")
else:
if not noprint =... | Jiusoft/PyLiteOS | 2bootloader.py | 2bootloader.py | py | 896 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.system",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.name",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.chdir",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 5,
... |
23412413832 | from django.db import models
from django.db.models.signals import pre_save,post_save,post_delete
from django.dispatch import receiver
from django.contrib.auth.models import User, UserManager, Group as DjangoGroup
import settings
import datetime
import ldap
import logging
import os
from uuid import uuid4
from django.cor... | acm-uiuc/liquid | liquid/intranet/models.py | models.py | py | 19,208 | python | en | code | 15 | github-code | 6 | [
{
"api_name": "django.contrib.auth.models.User",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "django.db.models",
"line_number": 37,
"usage_type": "name"
},
{
"api_n... |
40686498933 | import logging
import time
from typing import Any, List, NamedTuple
import grpc
import metrics_pb2 as metrics_proto
from integ_tests.gateway.rpc import get_rpc_channel
from orc8r.protos.common_pb2 import Void
from orc8r.protos.service303_pb2 import ServiceInfo
from orc8r.protos.service303_pb2_grpc import Service303Stu... | magma/magma | lte/gateway/python/integ_tests/common/service303_utils.py | service303_utils.py | py | 11,365 | python | en | code | 1,605 | github-code | 6 | [
{
"api_name": "typing.NamedTuple",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "orc8r.protos.service303_pb2_... |
38035592812 | import requests
from bs4 import BeautifulSoup
import json
url = "https://results.jntukucev.ac.in/helper.php?gamaOne=getResult"
headers = {
"accept": "*/*",
"accept-language": "en-US,en;q=0.9,te;q=0.8",
"content-type": "application/x-www-form-urlencoded; charset=UTF-8",
"sec-ch-ua": "\"Google Chrome\";v=... | adityakaredla/JNTUGV-Results-Scraping | resultScraper.py | resultScraper.py | py | 4,438 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.post",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 111,
"usage_type": "call"
}
] |
36817367018 | """Loader call fixtures"""
import re
import typing as t
from pathlib import Path
import pytest
from _pytest.fixtures import SubRequest
from cjunct import exceptions
# Get all sample files list
SAMPLES_DIR: Path = Path(__file__).parent / "samples"
SAMPLES: t.List[Path] = [item for item in SAMPLES_DIR.iterdir() if it... | reartnew/cjunct | tests/config/loaders/conftest.py | conftest.py | py | 1,820 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_nu... |
3677492450 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#date: 13.02.12
import sys
from collections import defaultdict
import xlrd
from pyautocad import Autocad, ACAD, APoint
from pyautocad.utils import timing
from pyautocad.contrib.tables import Table
HEADER_TEXT_HEIGHT = 3.5
TEXT_HEIGHT = 3.0
ROW_HEIGHT = 8.0
TABLE_WIDTH =... | reclosedev/pyautocad | examples/cables_xls_to_autocad.py | cables_xls_to_autocad.py | py | 7,317 | python | en | code | 436 | github-code | 6 | [
{
"api_name": "pyautocad.APoint",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pyautocad.APoint",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pyautocad.APoint",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pyautocad.APoint",... |
35182385130 | import requests
from PIL import Image
from io import BytesIO
import base64
import os
SERV_URL = "http://localhost:5001/js/walker_run"
HEADERS = {
'Content-Type': 'application/json',
'Authorization': f"token {os.environ('JASECI_TOKEN')}"
}
def summarize(text:str) -> str:
'''Summarizes the text using text-t... | ssaravanan21/text_summary_to_image | utils.py | utils.py | py | 956 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_num... |
9673107020 | # Package imports
import numpy as np
import matplotlib.pyplot as plt
from testCases import *
import sklearn
import sklearn.datasets
import sklearn.linear_model
from planar_utils import plot_decision_boundary, sigmoid, load_planar_dataset, load_extra_datasets
np.random.seed(1)
X, Y = load_planar_dataset()
plt.scatter(... | okarimpour/Deep_Learning_projects | Data_Classification_NN/data_classification.py | data_classification.py | py | 5,478 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.random.seed",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "planar_utils.load_planar_dataset",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "... |
72306463227 | import re
from pyquery import PyQuery
def housetype(housetype):
detailInfo = {}
housetype = housetype.replace('\xa0', '')
housetype = housetype.replace('\n', '')
housetype = housetype.replace(' ', '\n')
htype = re.findall('型態:(.*)\n', housetype)
state = re.findall('現況:(.*)\n', housetype)
... | YX-Zang/rent-house-crawler | get591.py | get591.py | py | 2,481 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "re.findall",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 29,
... |
35488765326 | """Defines the functions used for gathering and reporting xp."""
from datetime import datetime
import asyncio
import json
import logging
import aiohttp
import discord
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from discord.ext import commands
from utils.config import player_url
from utils.he... | roscroft/math-bot | cogs/xp.py | xp.py | py | 14,589 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands.Cog",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.comm... |
7645917680 | import pymongo
# Define the list of Dow Jones stock symbols
dow_symbols = [
"AAPL",
"MSFT",
"GOOGL",
"AMZN",
"META",
"JPM",
"V",
"JNJ",
"WMT",
"PG",
"UNH",
"HD",
"T",
"PYPL",
"VZ",
"CSCO",
"XOM",
"CVX",
"INTC",
"KO",
"MRK",
"PEP",
... | quinncheong/goldman-sachs-portfolio-manager | backend/initScripts/trackedStocksSeed.py | trackedStocksSeed.py | py | 992 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 43,
"usage_type": "call"
}
] |
40378007155 | import os
import sys
import json
from sasctl.services import microanalytic_score as mas
from sasctl import Session
import base64
from io import BytesIO
from PIL import Image
import numpy as np
import pdb
def run_inference_for_base64(base64img):
host = os.getenv('OPENMM_HOST', '')
user = os.getenv('OPENMM_USER... | TreeinRandomForest/logo-detector | server/inference_api/logo_search/inference/inference.py | inference.py | py | 5,204 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.getenv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 17,
... |
11781972911 |
import glob
import pandas as pd
import logging
import asyncio
logging.basicConfig(level=logging.WARNING, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
logger = logging.getLogger(__name__)
all_files = glob.glob("/home/amit/projects/python-workspace/upwork-dataset/short_data/*.txt")
li = []
async ... | mickymots/up_dataset | short_loader.py | short_loader.py | py | 1,011 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.WARNING",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "glob.glob",
... |
24594501982 | import pytest
from tapeworm.model_link import Link
from .conftest import telegram_callback_query_with_data
@pytest.mark.parametrize("cq_data", [(None), ("qqq")])
def test_invalid_links_query_format(
cq_data, incoming, telegram_callback_query_generator
):
data = telegram_callback_query_generator()
data["d... | bananers/tapeworm-bot | tests/test_links_callback_query.py | test_links_callback_query.py | py | 1,832 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pytest.mark.parametrize",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "conftest.telegram_callback_query_with_data",
"line_number": 20,
"usage_type": "call"
},
{
... |
16621578810 | """
tenants.py
Methods to interact with Agave tenants.
"""
from __future__ import print_function
import requests
import sys
from ..utils import handle_bad_response_status_code
def get_tenants(url):
""" Get Agave tenants
Get all Agave tenants for a given Agave host.
PARAMETERS
----------
url... | tapis-project/tapispy | tapispy/tenants/tenants.py | tenants.py | py | 1,725 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "utils.handle_bad_response_statu... |
38462998793 | from fastapi import FastAPI
from fastapi.responses import JSONResponse
from pydantic import BaseModel
from fastapi.middleware.cors import CORSMiddleware
from sage import getMessage, describeMessage, cutMessage, Status
api = FastAPI()
class Prompt(BaseModel):
prompt: str
api.add_middleware(
CORSMiddleware,
... | legit-programmer/squeeze-ai | server/server.py | server.py | py | 1,305 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pydantic.BaseModel",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "fastapi.middleware.cors.CORSMiddleware",
"line_number": 15,
"usage_type": "argument"
},
{
"api_... |
73815029306 | import logging
from peewee import *
from twitter.models import *
from .config import pretty_json_string, DATABASE_FILE
_db = SqliteDatabase(DATABASE_FILE)
logger = logging.getLogger(__name__)
def get(self, attr, default=None):
if hasattr(self, attr):
return getattr(self, attr)
else:
return ... | python-cli/twitter-cli | twitter_cli/models.py | models.py | py | 6,739 | python | en | code | 66 | github-code | 6 | [
{
"api_name": "config.DATABASE_FILE",
"line_number": 8,
"usage_type": "argument"
},
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "config.pretty_json_string",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "co... |
20933756370 | # Imports
import argparse
import random
# Global Constants
POSSIBLE_INTEGERS = ["-9", "-8", "-7", "-6", "-5", "-4", "-3", "-2", "-1", "0", "1", "2", "3", "4", "5", "6", "7", "8", "9"]
# Create the argument parser.
parser = argparse.ArgumentParser(description="Reads in a number between.")
# Add arguments to the parse... | zenofchaos/CS4341 | Assignment 2/createTest.py | createTest.py | py | 824 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 25,
"usage_type": "call"
}
] |
13060478762 | from pyspark import SparkConf, SparkContext
import sys
import json
assert sys.version_info >= (3, 5) # make sure we have Python 3.5+
# add more functions as necessary
def make_pairs(data):
subreddit = data["subreddit"]
score = data["score"]
count = 1
yield (subreddit, (count, score))
def add_pairs(... | Janetsun63/Big-Data-Lab-1 | A3/reddit_averages.py | reddit_averages.py | py | 1,095 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.version_info",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "json.dumps",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "pyspark.SparkCon... |
7438604652 | import itertools
from vesper.tests.test_case import TestCase
from vesper.util.time_difference_formatter import TimeDifferenceFormatter
class TimeDifferenceFormatterTests(TestCase):
def test_get_min_time_increment(self):
get_increment = TimeDifferenceFormatter.get_min_time_increment
... | HaroldMills/Vesper | vesper/util/tests/test_time_difference_formatter.py | test_time_difference_formatter.py | py | 8,244 | python | en | code | 47 | github-code | 6 | [
{
"api_name": "vesper.tests.test_case.TestCase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "vesper.util.time_difference_formatter.TimeDifferenceFormatter.get_min_time_increment",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "vesper.util.time_differe... |
30052514668 | from django.contrib.auth.decorators import login_required
from django.contrib.auth.mixins import LoginRequiredMixin
from django.shortcuts import redirect
from django.urls import reverse_lazy
from django.views.generic import CreateView, UpdateView, DeleteView
from pet_owners.utils import DataMixin
from posts.models imp... | classytoast/four-paws-social-network | four_paws/comments/views.py | views.py | py | 4,763 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.auth.mixins.LoginRequiredMixin",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "pet_owners.utils.DataMixin",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "django.views.generic.CreateView",
"line_number": 13,
"usage_type... |
7090026383 | import re
import asyncio
from hydrogram import filters
from hydrogram.enums import MessageEntityType
from hydrogram.errors import FloodWait, UserNotParticipant, BadRequest, ChatWriteForbidden
from hydrogram.types import Message
from datetime import datetime
from whiterkang import WhiterX, Config
from whi... | BubbalooTeam/WhiterRobot | whiterkang/plugins/afk.py | afk.py | py | 3,104 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "whiterkang.WhiterX",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "hydrogram.types.Message",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "whiterkang.helpers.find_user",
"line_number": 31,
"usage_type": "call"
},
{
"api_name"... |
28468344076 | import requests
URL = "https://rapidapi.p.rapidapi.com/api/spelling/AutoComplete"
HEADERS = {
"x-rapidapi-host": "contextualwebsearch-websearch-v1.p.rapidapi.com",
"x-rapidapi-key": "Your-X-RapidAPI-Key"
}
text = "tay"
querystring = {"text": text}
response = requests.get(URL, headers=HEADERS, params=querystr... | roikra/usearch-api | AutoSuggestAPITest.py | AutoSuggestAPITest.py | py | 348 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
}
] |
15751587087 | from sklearn.decomposition import LatentDirichletAllocation
from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer
from sklearn.decomposition import NMF
class TopicsModelingLDA():
n_topics = 3
nb_top_words = 3
tf_vectorizer = None
tf = None
lda = None
... | flabastie/news-analysis | project/processing/modeling.py | modeling.py | py | 5,069 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sklearn.feature_extraction.text.CountVectorizer",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "sklearn.decomposition.LatentDirichletAllocation",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_extraction.text.TfidfVectorizer",... |
22959576539 | from flask_cache import Cache
from flask_sqlalchemy import SQLAlchemy
from injector import Module, singleton
from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()
class AppModule(Module):
def __init__(self, app):
self.app = app
"""Configure the application."""
def co... | ecdeise/flask_ioc_lab | modules.py | modules.py | py | 940 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "injector.Module",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 19,
"usage_type": "argument"
},
... |
36341393044 | # 'Dummy' 라는 도스게임이 있다. 이 게임에는 뱀이 나와서 기어다니는데, 사과를 먹으면 뱀 길이가 늘어난다. 뱀이 이리저리 기어다니다가 벽 또는 자기자신의 몸과 부딪히면 게임이 끝난다.
# 게임은 NxN 정사각 보드위에서 진행되고, 몇몇 칸에는 사과가 놓여져 있다. 보드의 상하좌우 끝에 벽이 있다. 게임이 시작할때 뱀은 맨위 맨좌측에 위치하고 뱀의 길이는 1 이다.
# 뱀은 처음에 오른쪽을 향한다.
# 뱀은 매 초마다 이동을 하는데 다음과 같은 규칙을 따른다.
# 먼저 뱀은 몸길이를 늘려 머리를 다음칸에 위치시킨다.
# 만약 이동한 칸에 사과가 있다면... | jujinyoung/CodingTest | bakjjun_codingTest/3190.py | 3190.py | py | 2,314 | python | ko | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sys.stdin.readline",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "sys.stdin.readlin... |
29284293707 | # -*- coding: utf-8 -*-
'''config file'''
import os
import pygame
# FPS
FPS = 100
# 屏幕大小
SCREENSIZE = (800, 700)
# room desc rect
room_desc_rec = (10,90,500,200)
# room items rec
room_items_rec = (10,300,500,100)
# action buttons rec
action_area_rec = (10,500,500,100)
# command_line rec
command_line_rec = (10,580,30... | Tubao/xkx | pkuxkx/py/cfg_gui.py | cfg_gui.py | py | 4,903 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "pygame.Rect",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pygame.Rect",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pygame.Rect",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pygame.Rect",
"line_number": ... |
70722470587 | import sys
from typing import List
min_diff = sys.maxsize
total = 0
def subset_diff(index: int, nums: List[int], subnum:int):
global total, min_diff
# 베이스 케이스
if index == len(nums):
print(total, subnum)
min_diff = min(min_diff, abs((total - subnum) - subnum))
return
subset_diff(index + 1, nums, subnum +... | Jeongseup/TIL | programming/data_structure/SubsetDiff.py | SubsetDiff.py | py | 481 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sys.maxsize",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "typing.List",
"line_number": 9,
"usage_type": "name"
}
] |
74598068348 | import nltk
from nltk.corpus import wordnet
import inflect
import operator
inflect = inflect.engine()
class Aspect:
def __init__(self, reviews):
self.reviews = reviews
self.aspect_dict = dict()
def findMax(self,dic):
maxSoFar = 0
word = ""
for i in dic.keys():
... | abdelmaaboud/sentiment_analysis_with_django | aspectExtractor.py | aspectExtractor.py | py | 1,526 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "inflect.engine",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "inflect.plural",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "nltk.word_tokenize",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "nltk.pos_tag",
"l... |
18194962461 | from rest_framework import serializers
from rest_framework.fields import Field
from contents.models import Answer, Blog, Review
from contents.serializers import BlogSerializer, AnswerSerializer, ReviewSerializer
from movies.models import Movie
from movies.serializers import MovieSerializer
from suggestions.models impo... | SivakumarSkr/Movieclub | suggestions/serializers.py | serializers.py | py | 2,980 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.fields.Field",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "contents.models.Blog",
"line_number": 21,
"usage_type": "argument"
},
{
"api_name": "contents.serializers.BlogSerializer",
"line_number": 22,
"usage_type": "call"
},
... |
37660523382 | import bpy
from bpy_extras.view3d_utils import (
region_2d_to_origin_3d,
region_2d_to_vector_3d,
region_2d_to_location_3d
)
import mathutils
def get_3d_for_2d(pos_2d, context):
result = None, None
scene = context.scene
origin, direction = get_origin_and_direction(pos_2d, context)
# Tr... | jayanam/jsculpt-tools | utils/fsc_view_utils.py | fsc_view_utils.py | py | 1,986 | python | en | code | 166 | github-code | 6 | [
{
"api_name": "mathutils.Vector",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "bpy_extras.view3d_utils.region_2d_to_location_3d",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "bpy.app",
"line_number": 49,
"usage_type": "attribute"
},
{
"ap... |
26627485736 | # this is an extremely simple Satchmo standalone store.
import logging
import os, os.path
LOCAL_DEV = True
DEBUG = True
TEMPLATE_DEBUG = DEBUG
if LOCAL_DEV:
INTERNAL_IPS = ('127.0.0.1',)
DIRNAME = os.path.dirname(os.path.abspath(__file__))
SATCHMO_DIRNAME = DIRNAME
gettext_noop = lambda s:s
LANGUAGE_CODE... | dokterbob/satchmo | satchmo/projects/skeleton/local_settings.py | local_settings.py | py | 1,509 | python | en | code | 30 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line... |
6836832887 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Experimental crawler to grab data from websites.
This project is for educational purposes only.
Usage:
crawlyn BASEURLS... [--output=<OUTFILE>] [--proxyhost=<PROXYHOST> --proxyport=<PROXYPORT> --proxytype=<PROXYTYPE>] [--tor]
crawlyn -h | --help
crawlyn -... | iamcryptoki/crawlyn | crawlyn/cli.py | cli.py | py | 1,657 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "docopt.docopt",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "logging.warning",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "logging.warning",
"line_nu... |
13649793245 | from dataclasses import dataclass
from typing import List, Dict, Tuple, Optional
# offsets & game_entities: Guidelines for Game-Specific Data
# if shared by a majority of windows games (>= 10)
# offsets.py: defined Optional for all offset objects, set to None when absent
# game_entities: defined Optional for a... | Guy-L/parakit | offsets.py | offsets.py | py | 62,005 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "typing.Optional",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "dataclass... |
40224378453 | from .input_example import Entity, EntityType, InputExample, Relation, RelationType
import os
import json
import logging
import numpy as np
from typing import Dict, List
from .base_dataset import BaseDataset
import torch
from transformers import PreTrainedTokenizer, PreTrainedModel
from arguments import DataTrainingArg... | ManHieu/EventCausalityIdentification | data_modules/datasets.py | datasets.py | py | 5,454 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "typing.Dict",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "base_dataset.BaseDataset",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "base_dataset.BaseDataset",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "argumen... |
38705093416 | # -*- coding: utf-8 -*-
"""Definition of the evento content type
"""
from zope.interface import implements, directlyProvides
from DateTime.DateTime import *
from Products.Archetypes import atapi
from Products.ATContentTypes.content import folder
from Products.ATContentTypes.content import schemata
from Products.AT... | lflrocha/ebc.pauta | ebc/pauta/content/evento.py | evento.py | py | 10,615 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "Products.ATContentTypes.content.folder.ATFolderSchema.copy",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "Products.ATContentTypes.content.folder.ATFolderSchema",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "Products.ATContentTypes.con... |
5309701060 | #!/usr/bin/env python
# coding: utf-8
# In[ ]:
import os
import sys
import random
import math
import multiprocessing
import h5py
import json
import numpy as np
import tensorflow as tf
import keras as K
import keras.backend.tensorflow_backend as KTF
from keras.models import Model
from keras.callbacks import ModelChec... | lrscy/Unsupervised-Dual-Learning-Neural-Machine-Translation-Model | baseline/baseline.old.py | baseline.old.py | py | 14,212 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "keras.backend.clear_session",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "keras.backend",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.Session",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "ten... |
13504242679 | import csv
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
filelocation = "../../../data/example csv/annual-enterprise-survey-2020-financial-year-provisional-csv.csv"
filelocation = "../../../data/html_files/College of Liberal Arts Schedule of Classes Fall 2018.csv"
def read_csv(file = fileloca... | gebe678/CS_Honors_Project | src/code/test/example_scripts/csv_stuff.py | csv_stuff.py | py | 1,729 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "csv.reader",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot... |
16100999205 | from django import forms
from django.core.files.uploadedfile import SimpleUploadedFile
class VendeurConnect(forms.Form):
""" Pour gérer la connection d'un vendeur à son compte """
identifiant = forms.CharField(max_length = 30,
required = True)
mot_de_passe = f... | kelly564/Elvis-codeur | forms.py | forms.py | py | 4,946 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.forms.Form",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.forms.CharField",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.forms"... |
32809848064 | from itertools import product
class Solution:
def letterCombinations(self, digits: str) -> List[str]:
dic = {
2:['a','b','c'],
3:['d','e','f'],
4:['g','h','i'],
5:['j','k','l'],
6:['m','n','o'],
7:['p','q','r','s'],
8:['t','u','v'],
9:['w','x','y','z']
}
combi=[]
... | dongjun0128/Algorithm_Study | Python_Algorithm_Interview/그래프/2. 전화번호 문자 조합(itertools).py | 2. 전화번호 문자 조합(itertools).py | py | 557 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "itertools.product",
"line_number": 24,
"usage_type": "call"
}
] |
31907116454 | from manager import Manager
from util import DataController
import model as model
from model import Security, Exchange, DataVendor, Quotation
from database import db_session, db_engine, Base
from datetime import datetime, timedelta, date
from sqlalchemy import exc
manager = Manager()
dc = DataController()
@manager.... | FabianHeinemann/Stock_Analyzer | manage.py | manage.py | py | 4,018 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "manager.Manager",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "util.DataController",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "database.Base.metadata.drop_all",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "da... |
71732541308 | from abc import ABC, abstractmethod
from dataclasses import dataclass
from typing import Any, List, Type, Union
from .defs import ILEException
from .numerics import MinMax, VectorFloatConfig, VectorIntConfig
INDENTATION = ' '
NEWLINE = '\n'
def exceptions_to_text(exceptions: List[str]) -> str:
return f'{(NEW... | NextCenturyCorporation/mcs-scene-generator | ideal_learning_env/validators.py | validators.py | py | 10,505 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "abc.ABC",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 25,
... |
14894972613 | from pprint import pprint
from pyquery import PyQuery as pq
import requests
import json
import datetime
import collections
import sys
import os
# Where to write to.
OUTFILE = "resto/1.0/menu/{}/{}.json"
OUTFILE_2_0 = "resto/2.0/menu/{}/{}/{}/{}.json"
OVERVIEWFILE_2_0 = "resto/2.0/menu/{}/overview.json"
LINK_FORMAT = ... | daveromana2/hydra | scraper/resto.py | resto.py | py | 11,770 | python | en | code | null | github-code | 6 | [
{
"api_name": "collections.defaultdict",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "pyquery.PyQuery",
... |
14598919345 | import datetime
from rest_framework.generics import CreateAPIView, ListAPIView, DestroyAPIView, UpdateAPIView
from rest_framework.permissions import IsAuthenticated
from rest_framework.response import Response
from rest_framework.views import APIView
from .models import (FavoriteDoctor, Review, Doctor, Banner, Specia... | Ahmedbadr22/medita_api | medita_clinic/views.py | views.py | py | 7,074 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.generics.CreateAPIView",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "models.Banner.objects.all",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "models.Banner.objects",
"line_number": 33,
"usage_type": "attribute"
},... |
30423836891 | #!/usr/bin/env python3
import pandas as pd
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np
from sklearn import svm
from sklearn.linear_model import Perceptron
from sklearn.linear_model import LinearRegression
def main():
filename = "data3.csv"
headers = getheaders(fil... | jeffaustin32/SENG474 | clean.py | clean.py | py | 3,525 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.Perceptron",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "sklearn.svm.SVC",
"line_number": 35,
"usage_type": "call"
},
{
... |
35942778078 | from PyQt5.QtCore import *
from PyQt5.QtGui import QMouseEvent
from PyQt5 import QtCore, QtGui
from PyQt5.QtWidgets import *
from PyQt5 import QtWidgets
from Windows import AddingNewUser_ui
from Windows.weightScreen import WeightScreen
from Database.UserDatabase import *
from Widgets.virtualKeyboardBox import VirtualF... | mikedinh1997/WaterDispenser | Windows/addingNewUser.py | addingNewUser.py | py | 6,772 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "Windows.AddingNewUser_ui.Ui_AddingNewUser",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "Windows.AddingNewUser_ui",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QApplication.instance",
"line_number": 22,
"usage... |
8384341511 | from __future__ import absolute_import
from __future__ import print_function
import os
import sys
from collections import defaultdict
import optparse
import math
sys.path.append(os.path.join(os.path.dirname(sys.argv[0]), '..'))
from sumolib.output import parse # noqa
from sumolib.miscutils import Statistics, geh # no... | ngctnnnn/DRL_Traffic-Signal-Control | sumo-rl/sumo/tools/output/edgeDataDiff.py | edgeDataDiff.py | py | 3,424 | python | en | code | 17 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
33259538045 | import numpy as np
from keras import models, layers
import matplotlib.pyplot as plt
from src.utils import split_data
def auto_encoder(data_pth = '../data/mode_padding.npz', outdir='../fig'):
data = np.load(data_pth)
x = data['x']
y = data['y']
x_train, y_train, x_test, y_test = split_data(x,y)
# in ... | ruiyangsong/nlp | src/auto_encoder.py | auto_encoder.py | py | 1,587 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.load",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "src.utils.split_data",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "keras.layers.Input",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "keras.layers",
"... |
21842529764 | # ../gungame/core/logger.py
"""Provides the GunGame logger instance."""
# =============================================================================
# >> IMPORTS
# =============================================================================
# Source.Python
from config.manager import ConfigManager
from loggers imp... | GunGame-Dev-Team/GunGame-SP | addons/source-python/plugins/gungame/core/logger.py | logger.py | py | 1,230 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "translations.strings.LangStrings",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "config.manager.ConfigManager",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "loggers.LogManager",
"line_number": 36,
"usage_type": "call"
}
] |
11445504911 | __author__ = 'xueyan'
# coding:utf-8
import unittest
import sys,os
BASE_DIR=os.path.dirname(os.path.dirname(__file__))
sys.path.append(BASE_DIR)
from Page.BaseLoginPage import BaseLogin
from Page.homePage import HomePage
from model import Model
from Page.singleCoursePlanChargePage import singleCoursePlanChargePage
fr... | liuhf1980/pythonAutoYes | TestCase/createCoursePlanCharge0001.py | createCoursePlanCharge0001.py | py | 3,263 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number... |
16406941020 | import mysql.connector
import csv
import matplotlib.pyplot as plt
import matplotlib
from matplotlib import colors as mcolors
import datetime
colors = dict(mcolors.BASE_COLORS, **mcolors.CSS4_COLORS)
# Sort colors by hue, saturation, value and name.
by_hsv = sorted((tuple(mcolors.rgb_to_hsv(mcolors.to_rgba(color)[:3... | natashaarmbrust/github-sentiment | contributions.py | contributions.py | py | 2,567 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.colors.BASE_COLORS",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.colors",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "matplotlib.colors.CSS4_COLORS",
"line_number": 8,
"usage_type": "attribute"
},
{
... |
72182395387 | from configparser import ConfigParser
def config(filename='weather_api_key.ini', section='openweather'):
'''Get API key
Params:
-------
filename - str: .INI file with API key stored.
section - str: section name.
Retunr:
-------
str: API key
'''
# create a p... | felipedmnq/streaming-weather-kafka | kafka/config.py | config.py | py | 622 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 16,
"usage_type": "call"
}
] |
24168973572 | import requests
from bs4 import BeautifulSoup
URL = "https://web.archive.org/web/20200518073855/https://www.empireonline.com/movies/features/best-movies-2/"
# Write your code below this line 👇
""" Steps:
1) Read the website
2) Create soup object
"""
response = requests.get(URL)
movie_page = response.text
soup = Be... | Shd-Dan/Udemy_100_days_beatiful_soup_web_scaping | 100_movies.py | 100_movies.py | py | 638 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 13,
"usage_type": "call"
}
] |
34469120872 | import torch
from object_detection.utils.classes import COCO_CLASSES
def box_cxcywh_to_xyxy(x):
x_c, y_c, w, h = x.unbind(1)
b = [(x_c - 0.5 * w), (y_c - 0.5 * h), (x_c + 0.5 * w), (y_c + 0.5 * h)]
return torch.stack(b, dim=1)
def rescale_bboxes(out_bbox, size):
img_w, img_h = size
b = box_cxcyw... | lmyybh/object-detection | object_detection/object_detectors/DETR.py | DETR.py | py | 1,283 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.stack",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.tensor",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.float32",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.hub.load",
"line... |
11295688167 | from datetime import datetime
import copy
filename = "input/day12input.txt"
file = open(filename, "r")
file = file.readlines()
now = datetime.now()
routes = {}
for f in file:
f = f.replace('\n', '').split('-')
if f[0] not in routes:
routes[f[0]] = [f[1]]
else:
routes[f[0]].append(f[1])
... | mykreeve/advent-of-code-2021 | day12.py | day12.py | py | 1,765 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "copy.deepcopy",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "datetime.datetime... |
37864446828 | """powerpoint_pptx.py implements App and Presentation for Powerpoint using python-pptx, the pptx file manipulation package.
"""
import copy
from enum import IntEnum
from io import BytesIO
import re
from typing import Any, Callable, Optional, Tuple
from pptx import Presentation as PptxPres
from pptx.enum.shapes import... | juria90/service_ppt | powerpoint_pptx.py | powerpoint_pptx.py | py | 15,595 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "enum.IntEnum",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "typing.Callable",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "re.escape",
"line_nu... |
71974067388 | import os
from tkinter import *
import tkinter as tk
import tkinter.font as font
import requests
import webbrowser
import os
from datetime import date
import discord
from dotenv import load_dotenv
load_dotenv()
'''
functions
'''
async def startUI(message):
#download function
def dlAttach(status):
... | webealt/SarahMessanger | sarahMessenger.py | sarahMessenger.py | py | 2,962 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_nu... |
38631449292 | import unittest
from unittest.mock import patch, mock_open
import requests_mock
from requests.models import Response
from parameterized import parameterized
from utils import CensysTestCase
from censys.base import CensysAPIBase
from censys.api import CensysSearchAPI
from censys.asm.api import CensysAsmAPI
from censy... | VK9D/Censys | tests/test_api.py | test_api.py | py | 5,313 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "utils.CensysTestCase",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "censys.api.CensysSearchAPI",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "requests_mock.Mocker",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "... |
21275771036 | import logging
import os
import mindspore as ms
from ...utils.download import DownLoad
from .backbone import Backbone
def load_pretrained(
net: Backbone, ckpt_url: str, download_dir: str = "./cache/pretrained/"
) -> None:
"""Loading the pretrained backbone's weight from url.
Args:
net: network ... | mindspore-lab/mindpose | mindpose/models/backbones/utils.py | utils.py | py | 1,396 | python | en | code | 15 | github-code | 6 | [
{
"api_name": "backbone.Backbone",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "os.path.isfile",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line... |
39120577302 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import random
import time
from collections import deque
from sklearn import preprocessing
from keras.models import Sequential
from keras.layers import Dense, Dropout, CuDNNLSTM, BatchNormalization
from keras.callbacks import TensorBoard, ... | albertoferreirademelo/19-DNN-LSTM-SwedishStockMarket | Mano_ANN.py | Mano_ANN.py | py | 5,689 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "time.time",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",... |
24034433286 | # local imports
import xmatters
import config
# python3 package imports
import logging
import json
from logging.handlers import RotatingFileHandler
# main process
def main() -> object:
groups = members_file.get_rows(["name", "supervisors", "observers"], {"name"}, True, ";")
log.info("Executing upload for " ... | matthewhenry1/integrator_py | src/add_members.py | add_members.py | py | 3,358 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "config.add_members",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "logging.basicConfig",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "config.add_members",
"line_number": 64,
"usage_type": "attribute"
},
{
"api_name": "l... |
9864519345 | import json as jsonlib
import os
import time
import typing
from concurrent import futures
from concurrent.futures import ThreadPoolExecutor
from typing import Any, Dict, List, Optional, Union
import requests
from requests.adapters import HTTPAdapter
from urllib3 import Retry
from bot.error import APIError... | nazerkerysbekovva1/Summarization-Bot | bot/client.py | client.py | py | 8,172 | python | kk | code | 0 | github-code | 6 | [
{
"api_name": "typing.Optional",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "os.getenv",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "bot.response.COHERE_API_URL",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "bot.response.CO... |
17286691960 | # -*- coding: utf-8 -*-
"""
Created on Thu May 9 14:59:17 2019
@author: Mamzi
"""
import cv2
def callback(value):
if value == 1:
cv2.namedWindow("greyFrame")
gray = cv2.imread("images/pic.jpg", 0)
cv2.imshow("greyFrame", gray)
cv2.waitKey(3000)
cv2.destroyWindow("greyFr... | osoulim/Computer-Vision | Python/Week1/trackbar.py | trackbar.py | py | 488 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.namedWindow",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_number"... |
42551217694 | from absl.testing import absltest
from absl.testing import parameterized
import chex
from flax import optim
from jax.example_libraries import optimizers
import jax.numpy as jnp
from optax._src import alias
from optax._src import update
STEPS = 50
LR = 1e-2
LR_SCHED = lambda _: LR # Trivial constant "schedule".
c... | viethoang204/audioBook | venv/lib/python3.11/site-packages/optax/_src/equivalence_test.py | equivalence_test.py | py | 5,185 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "chex.TestCase",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "jax.numpy.array",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "jax.numpy",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "jax.numpy.array",
"l... |
40308309211 | from django.core.urlresolvers import reverse
from django.http import Http404, HttpResponse
from django.shortcuts import redirect, get_object_or_404
from django.views.generic import DetailView, View
from .models import Innovation
class InnovationRedirect(View):
def get(self, request):
innovation = Innova... | kabroncelli/Nicolock | nicolock/innovation/views.py | views.py | py | 1,128 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.views.generic.View",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "models.Innovation.objects.all",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "models.Innovation.objects",
"line_number": 12,
"usage_type": "attribute"
},
{
... |
72784227067 | # https://www.codewars.com/kata/57c7231c484cf9e6ac000090
from itertools import zip_longest
def sum_arrays(arrays, shift):
result = arrays[0]
shiftcnt = 0
for arr in arrays[1:]:
shiftcnt += 1
pad = [0,]*(shift*shiftcnt)
result = [sum(values) for values in zip_longest(result, pad + a... | blzzua/codewars | 7-kyu/adding_values_of_arrays_in_a_shifted_way.py | adding_values_of_arrays_in_a_shifted_way.py | py | 356 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "itertools.zip_longest",
"line_number": 11,
"usage_type": "call"
}
] |
39626848748 | from setuptools import setup, find_packages
from memoization.memoization import __version__ as memoization_version
with open('README.md', 'r', encoding='utf8') as f:
long_description = f.read()
setup(
name='memoization',
version=memoization_version,
description='A powerful caching library for Python, ... | Bobshpog/AeroVision | src/util/memoization/setup.py | setup.py | py | 1,605 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "setuptools.setup",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "memoization.memoization.__version__",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "setuptools.find_packages",
"line_number": 20,
"usage_type": "call"
}
] |
19143378383 | #!/usr/bin/env python
#
# test_colourbarbitmap.py -
#
# Author: Paul McCarthy <pauldmccarthy@gmail.com>
#
import os.path as op
import itertools as it
import numpy as np
import matplotlib as mpl
import matplotlib.colors as colors
import matplotlib.image as mplimg
import pytest
import fsleyes_widgets.util... | pauldmccarthy/fsleyes-widgets | fsleyes_widgets/tests/test_colourbarbitmap.py | test_colourbarbitmap.py | py | 12,966 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number"... |
14895007583 | from argparse import ArgumentParser
from jinja2 import FileSystemLoader, Environment
from bs4 import BeautifulSoup as bs
import requests
parser = ArgumentParser(description='Create hydra sports page')
parser.add_argument('--file',
dest='filename',
required=True,
... | daveromana2/hydra | scripts/generate_sports.py | generate_sports.py | py | 1,068 | python | en | code | null | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "jinja2.Environm... |
72965737789 | import itertools
import json
import logging
import numpy as np
import os
from collections import OrderedDict
import PIL.Image as Image
import torch
from pytorchpoints.config import kfg, configurable
from pytorchpoints.utils.comm import all_gather, is_main_process, synchronize
from pytorchpoints.utils.file_io import Pa... | ZhaofanQiu/SPE-Net | pytorchpoints/evaluation/cls_evaluation.py | cls_evaluation.py | py | 4,334 | python | en | code | 10 | github-code | 6 | [
{
"api_name": "evaluator.DatasetEvaluator",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "pytorchpoints.config.configurable",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 32,
"usage_type": "call"
},
{
"ap... |
19886603860 | import attr
import trio
from pendulum import DateTime
from structlog import get_logger
from async_generator import asynccontextmanager
from guardata import service_nursery
from guardata.monitoring import TaskMonitoringInstrument
__all__ = [
"timestamps_in_the_ballpark",
"start_task",
"trio_run",
"open... | bitlogik/guardata | guardata/utils.py | utils.py | py | 6,074 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "structlog.get_logger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pendulum.DateTime",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "attr.ib",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "attr.ib",
"line_nu... |
15399503740 | from typing import List, Tuple
import pygame # type: ignore
from queue import PriorityQueue
import runner
from runner import Spot
INPUT = """Sabqponm
abcryxxl
accszExk
acctuvwj
abdefghi"""
with open("./input.txt", "r") as file:
al_maze, al_start, al_end = runner.part_one(file.read())
WIDTH = al_maze[0].__len__()... | SyedDevop/path_finder | main.py | main.py | py | 4,715 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "runner.part_one",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "pygame.di... |
23233714434 | import time
import os
import pathlib
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.select import Select
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.... | Semutireng22/BlueMove | bluemove.py | bluemove.py | py | 6,329 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.support.ui.WebDriverWait",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.support.expected_conditions.element_to_be_clickable",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.support.exp... |
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