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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
17434046001 | import matplotlib.pyplot as plt
import cv2
import numpy as np
def main():
path="./image2.jpg"
image=plt.imread(path)
red_chanel=image[:,:,0]
green_chanel=image[:,:,1]
blue_chanel=image[:,:,2]
height,width=image.shape[:2]
grayscale=np.zeros((height,width),np.int... | SajeebChakraborty/Digital_Image_Processing_Lab | Basic_convertion.py | Basic_convertion.py | py | 2,390 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "matplotlib.pyplot.imread",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "numpy.zeros",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.int8",
... |
259671060 | import wave
import threading
from time import sleep
import pyaudio
import numpy as np
#import eyeD3
import sys
CHUNK = 1024
if len(sys.argv) < 2:
print("Plays a wave file.\n\nUsage: %s filename.wav" % sys.argv[0])
sys.exit(-1)
wf = wave.open(sys.argv[1], 'rb')
p = pyaudio.PyAudio()
stream = p.open(format=p... | MaxiDoet/rpi-radio | audio/audio.py | audio.py | py | 785 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "wave.open",
"line_number": 1... |
20040852372 | from mmseg.datasets.pipelines.transforms import *
from mmseg.datasets.builder import PIPELINES
from scipy.ndimage.morphology import distance_transform_edt
import cv2
import numpy as np
from collections import OrderedDict
"""
This file contains the implementation of various data augmentation pipelines for the DoubleIma... | aiearth-damo/deeplearning | aiearth/deeplearning/datasets/mmseg/changedet/pipelines/double_img_transforms.py | double_img_transforms.py | py | 61,234 | python | en | code | 33 | github-code | 97 | [
{
"api_name": "numpy.array",
"line_number": 93,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 93,
"usage_type": "attribute"
},
{
"api_name": "mmseg.datasets.builder.PIPELINES.register_module",
"line_number": 26,
"usage_type": "call"
},
{
"a... |
36209909670 | import os
from slack_bolt import App
from slack_bolt.adapter.socket_mode import SocketModeHandler
from dotenv import load_dotenv
import openai
import sqlalchemy
import sqlalchemy.ext.declarative
import sqlalchemy.orm
import datetime
# 環境変数を読み込む
load_dotenv()
openai.api_key=os.environ.get("OPENAI_API_KEY")
# ボットトークンとソ... | alcoffee/gpt-slack-bot | src/main.py | main.py | py | 5,102 | python | ja | code | 0 | github-code | 97 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "openai.api_key",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.environ",
... |
24561085244 | from django.contrib.auth.decorators import login_required
from django.contrib.auth.models import Group
from django.shortcuts import redirect
@login_required
def upgrade_me(request):
user = request.user
premium_group = Group.objects.get(name='authors')
if not request.user.groups.filter(name='authors').exis... | 4elovek-nevadimka/HW_05_NewsPortal | NewsPaper/sign/views.py | views.py | py | 654 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.contrib.auth.models.Group.objects.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.Group.objects",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.auth.models.Group",
"line_number": 9,... |
16513302039 | import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Dropout, Activation, Flatten, BatchNormalization
from tensorflow.keras.layers import ... | kira9303/Internship_models | cars_price_prediction/cars_price_model.py | cars_price_model.py | py | 10,248 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pandas.read_csv",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_num... |
71597303359 | if not __debug__:
raise RuntimeError(
'DataLad cannot run in "optimized" mode, i.e. python -O')
import atexit
import os
# this is not to be modified. for querying use get_apimode()
__api = 'python'
def get_apimode():
"""Returns the API mode label for the current session.
The API mode label indi... | datalad/datalad | datalad/__init__.py | __init__.py | py | 4,801 | python | en | code | 464 | github-code | 97 | [
{
"api_name": "os.environ",
"line_number": 65,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 69,
"usage_type": "attribute"
},
{
"api_name": "random.seed",
"lin... |
21758067637 | from math import sqrt
from numpy import asarray
import operator
import sys
from warnings import warn
# relax module imports.
from lib.errors import RelaxError, RelaxImplementError, RelaxNoSpectraError
from lib.io import sort_filenames, write_data
from lib.text.sectioning import section, subsection
from lib.spectrum.pe... | nmr-relax/relax | pipe_control/spectrum.py | spectrum.py | py | 38,994 | python | en | code | 10 | github-code | 97 | [
{
"api_name": "pipe_control.mol_res_spin.spin_loop",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "lib.errors.RelaxError",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pipe_control.mol_res_spin.spin_loop",
"line_number": 97,
"usage_type": "call"
... |
14843783049 | # -*- coding:utf-8 -*-
import logging
from flask import (
render_template, request, url_for, redirect, abort, current_app
)
from sqlalchemy import extract, func, desc
from flask_login import current_user
from ..models import Blog, User, Tag, Comment
from . import main
from .. import db
@main.route('/')
def inde... | chris5641/EZBlog | app/main/views.py | views.py | py | 2,783 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.request.args.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "models.B... |
19889916472 | from keras.layers.convolutional import Conv2D
from keras.legacy import interfaces
import keras.backend as K
from keras.engine.base_layer import InputSpec
from cnns.nnlib.utils.general_utils import ConvType
from cnns.tensorflow.utils import tensor_shape
from cnns.nnlib.utils.general_utils import next_power2
import tenso... | adam-dziedzic/bandlimited-cnns | cnns/tensorflow/conv2D_fft.py | conv2D_fft.py | py | 13,179 | python | en | code | 17 | github-code | 97 | [
{
"api_name": "tensorflow.transpose",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tensorflow.transpose",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cnns.nnlib.utils.general_utils.next_power2",
"line_number": 36,
"usage_type": "call"
},
{
... |
11654798893 | # -*- coding: utf-8 -*-
"""
Compare the set3 sims
@author: Tom Williams
"""
import os
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
from vars import phangs_folder, output_folder, plot_folder
matplotlib.rcParams['mathtext.fontset'] = 'stix'
matplotlib.rcParams['font.family'] = 'STIXGeneral'
m... | thomaswilliamsastro/phangs_pattern_speeds | sims/plot_sims_set3.py | plot_sims_set3.py | py | 2,257 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "matplotlib.rcParams",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_na... |
41944524342 | # You are free to use, modify, copy, distribute the code.
# Please give a clap on medium, star on github, or share the article if you
# like.
# Created by Jonas, github.com/jkoendev
# Double pendulum on a cart (dpc) simulation code
#
# This file runs the simulation using python initial value problem solver.
# You need... | jkoendev/double-pendulum-on-cart | python/simplified/dpc_simple_simulate.py | dpc_simple_simulate.py | py | 3,078 | python | en | code | 11 | github-code | 97 | [
{
"api_name": "numpy.array",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.uniform",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"li... |
43047238691 | import logging
from typing import Dict, List
from yarl import URL
logger = logging.getLogger(__name__)
def get_manifest(
image_url: URL, image_hash: str, protocols: List[str], outbound_urls: List[str]
) -> Dict:
manifest = {
"version": "0.1.0",
"createdAt": "2023-06-26T00:00:00.000000Z",
... | golemfactory/ray-on-golem | ray_on_golem/server/services/golem/manifest.py | manifest.py | py | 1,200 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "yarl.URL",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number"... |
11120193591 | # coding=utf-8
import time
from six import StringIO
from stash.tests.stashtest import StashTestCase
class ThreadsTests(StashTestCase):
setup_commands = ['BIN_PATH=$STASH_ROOT/tests/system/data:$BIN_PATH']
def test_101(self):
"""
background thread clears properly
"""
self.st... | ywangd/stash | tests/system/test_threads.py | test_threads.py | py | 1,872 | python | en | code | 1,864 | github-code | 97 | [
{
"api_name": "stash.tests.stashtest.StashTestCase",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "six.StringIO",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "time.sleep... |
41535924100 | from pyspark.sql import SparkSession
# 创建一个连接
spark = SparkSession.Builder().appName('sql_yang').master('local[*]').enableHiveSupport().getOrCreate()
spark.sparkContext.setLogLevel("ERROR")
# spark.sql执行的就直接是DataFrame类型了
df1 = spark.sql("show tables")
spark.sql("set hive.exec.dynamic.partition.mode = nonstrict")
spa... | yanglinlong6/importexceldata | sparkData/sparkTest02.py | sparkTest02.py | py | 1,027 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pyspark.sql.SparkSession.Builder",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 4,
"usage_type": "name"
}
] |
8574194747 | #!/usr/bin/env python
# -*- encoding:utf-8 -*-
import redis
import sqlite3
import time
import commands
#productList = [
# "hundred",
# "hb",
# "reward",
# "notice",
# "public",
# "linkface",
# "api",
# ... | zhiwu88/CodisOP | CodisCenter/check.py | check.py | py | 1,359 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "sqlite3.connect",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "redis.Redis",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "commands.getoutput",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"l... |
37357477163 | from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from flask_bower import Bower
import os, sqlite3
db = SQLAlchemy()
bower = Bower()
def create_app(config=None):
app = Flask(__name__)
if config is not None:
app.config.from_object(config)
db.init_app(app)
app.engine = db.create... | quinnajames/feature_requester | feature_requester/__init__.py | __init__.py | py | 853 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask_bower.Bower",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask_bower.B... |
10651127525 | from flask import Flask, request
from flask_restful import Resource, Api
import irohaSDK
import irohaBUY
import binascii
import os
from iroha import IrohaCrypto
app = Flask(__name__)
api = Api(app)
@app.route('/')
def hello_world():
return 'Hello, World!'
class ValidateUser(Resource):
def post(self):
... | rietesh/MusicChain | flask/rest_api.py | rest_api.py | py | 3,030 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask_restful.Api",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask_restful.Resource",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "flask.request.for... |
42927108752 | import time, re, sys, os, tempfile, subprocess, threading, queue, json
from typing import Callable, Generator, Optional, Dict, Any, List, Union
from . import manager, domain, utils
import zmq
import ast
class DialogueSystem:
def __init__(self, domain_file: Optional[str]=None):
self.config = domain.DomainC... | NorskRegnesentral/GraphDial | graphdial/system.py | system.py | py | 3,176 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "typing.Optional",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "threading.Thread",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "queue.Queue",
"l... |
31072569192 | '''
Author: Elite_zhangjunjie
CreateDate:
LastEditors: Elite_zhangjunjie
LastEditTime: 2022-05-10 13:35:46
Description: 基于list实现的Pose类,主要实现打印和调试中角度和弧度的显示,以及求逆和乘
'''
import math
from typing import Any, SupportsIndex, overload
from others.ElitePoseCali import pose_inv, pose_mul
class Pose(list):
MAX_BITS = 6
... | JunJie-zhang-o/eliterobot | others/pose.py | pose.py | py | 2,361 | python | en | code | 9 | github-code | 97 | [
{
"api_name": "typing.overload",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "typing.overload",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "math.radians",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "math.degrees",
"line... |
4092918367 | from flask import Flask, render_template, request, jsonify, redirect, url_for
from flask_sqlalchemy import SQLAlchemy
from flask_bootstrap import Bootstrap
app = Flask(__name__)
app.secret_key = 'K705k705'
app.app_context().push()
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///vins.db'
app.config['SQLALCHEMY_TRACK... | tsiarmila/vin_generator | main.py | main.py | py | 4,013 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask_bootstrap.Bootstrap",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flas... |
32988446366 | import time
import torch
import torch.nn.functional as F
from torch import tensor
from torch.optim import Adam
from utils.ppr_utils import select_from_csr
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
def index_to_mask(index, size):
mask = torch.zeros(size, dtype=torch.bool, device=inde... | juliechoi12/pprgat | train_evaluate.py | train_evaluate.py | py | 6,152 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "torch.device",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.zeros",
... |
21398578679 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import webapp2
class MainPage(webapp2.RequestHandler):
def get(self):
self.response.headers['Content-Type'] = 'text/html; charset=UTF-8'
self.response.write('こんにちは！')
app = webapp2.WSGIApplication([
('/', MainPage),
], debug=True)
| step17/hw6-sol | python/main.py | main.py | py | 317 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "webapp2.RequestHandler",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "webapp2.WSGIApplication",
"line_number": 12,
"usage_type": "call"
}
] |
773692318 | from typing import Dict, List, Tuple
from pyramid.authorization import Allow
from pyramid.view import view_config
from snovault import collection, load_schema
from snovault.types.access_key import (
AccessKey as SnovaultAccessKey,
access_key_add as sno_access_key_add,
access_key_reset_secret as sno_access_... | smaht-dac/smaht-portal | src/encoded/types/access_key.py | access_key.py | py | 2,273 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "base.Item",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "snovault.types.access_key.AccessKey",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "snovault.load_schema",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "py... |
25667649027 | # -*- coding: utf-8 -*-
__author__ = 'baitaluk'
import requests
import cairosvg
from influxdb import InfluxDBClient
from pymemcache.client.base import Client
from config.config import *
options = getoptions()
class MSvgRadarCacher:
"""
Retrieve SVG content for asns from asrank-v2 api
and add the... | michaelbait/TempProject | data-input/asrank_utils/mc_util/ASSvgRadarCacher.py | ASSvgRadarCacher.py | py | 3,705 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "influxdb.InfluxDBClient",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "pymemcache.client.base.Client",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "re... |
18483756628 |
# Dictionary of sncosmo CCSN model names and their corresponding SN sub-type
ccSubClassDict = { 'ii':{ 'snana-2007ms':'IIP', # sdss017458 (Ic in SNANA)
'snana-2004hx':'IIP', # sdss000018 PSNID
'snana-2005gi':'IIP', # sdss003818 PSNID
... | srodney/medband | medband_classtest.py | medband_classtest.py | py | 41,429 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.array",
"line_number": 104,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 105,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 106,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number... |
71189277439 |
from flask import request, render_template, redirect
from app.pagination_util.pagination import Pagination, get_page_args, get_page_args_for_reviews
from app.database.db_utils import *
from app.app import app
from app.utils import get_products, get_page_reviews
# INDEX
@app.route("/", methods=["GET"])
def index():... | DeAndreFuentes/Flaskinventorymaster | inventory_manager/app/routes/routes.py | routes.py | py | 4,953 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.render_template",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "app.app.app.route",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "app.app.app",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "flask.request.for... |
71478534398 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Read raw text dumps from http://data.statmt.org/ngrams/raw/
and prints url and number of bytes
"""
import sys
from collections import defaultdict
buf = defaultdict(int)
domain = None
for line in sys.stdin:
d, lang, n = line.split()
n = int(n)
if domain !... | christianbuck/mtma_bitext | baseline/accumulate_lang_stats.py | accumulate_lang_stats.py | py | 554 | python | en | code | 7 | github-code | 97 | [
{
"api_name": "collections.defaultdict",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "sys.stdout.write",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
... |
18641465871 | import subprocess
import tkinter as tk
from tkinter import filedialog, Entry, Label
import shutil
from tkinter import *
from PIL import Image, ImageTk
# Create the main root window
root = tk.Tk()
root.geometry("800x600") # Set the size of the interface to 800x600
root.title("File Selector") # Set the title of the wi... | Xavi007/Tracking-Person-Using-Intelligent-Surveillance-CCTV- | GUI.py | GUI.py | py | 5,809 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "tkinter.Tk",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "PIL.Image.ANTIALIAS",
"line_nu... |
23490150563 | import utils
import config
import pandas as pd
import re
import os
import sys
import argparse
import logging
from sklearn.model_selection import train_test_split
from torch.utils.data import DataLoader
import torch
import esm
def get_embeds(df, dataset):
'''
input: dataframe (e.g. ../example/dataset/train.cs... | wlin16/VariPred | VariPred/main.py | main.py | py | 7,123 | python | en | code | 7 | github-code | 97 | [
{
"api_name": "esm.pretrained.esm1b_t33_650M_UR50S",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "esm.pretrained",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "utils.df_process",
"line_number": 30,
"usage_type": "call"
},
{
"api_name... |
70039910079 |
#Para usar graficos, precisei baixar a biblioteca matplotlib. Para isso basta executar no CMD
#pip install -U matplotlib
import pandas as pd
import matplotlib.pyplot as plt
import os
for f in os.listdir("C:\workspace\Analise de dados com Python e Pandas\Arquivos"):
print(f)
df1 = pd.read_excel("C:\workspace\Anali... | AdrianaAndrade2203/Analise-de-dados-com-Python-e-Pandas | Aula4_Pandas_Visualizacao_de_Dados.py | Aula4_Pandas_Visualizacao_de_Dados.py | py | 3,649 | python | pt | code | 0 | github-code | 97 | [
{
"api_name": "os.listdir",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
... |
32464566257 | """The (robust) aggregations of our paper.
"""
import logging
import math
import os
import socket
from typing import Callable, Optional, Tuple
import numba
import numpy as np
import torch
import torch.nn.functional as F
from torch.utils.checkpoint import checkpoint
from torch.utils.cpp_extension import load
import to... | sigeisler/robustness_of_gnns_at_scale | rgnn_at_scale/aggregation.py | aggregation.py | py | 22,700 | python | en | code | 23 | github-code | 97 | [
{
"api_name": "os.path.join",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "socket.gethostname",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "torch.__version__",
... |
23507533381 | from rich.console import Group
from rich.panel import Panel
from rich.table import Table
from app.model.schema import TxDataDetail
class TxDetailInfo:
def __init__(self, tx_detail: TxDataDetail) -> None:
self.tx_detail = tx_detail
def __str__(self) -> str:
return str(self.tx_detail)
def... | BoostryJP/ibet-Prime | cmd/explorer/src/gui/rendarable/tx_detail_info.py | tx_detail_info.py | py | 2,069 | python | en | code | 11 | github-code | 97 | [
{
"api_name": "app.model.schema.TxDataDetail",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "rich.table.Table",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "rich.table.Table",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "rich.t... |
13684694376 | import argparse
import re
parser = argparse.ArgumentParser()
## Required parameters
parser.add_argument("--raw",
default='metrics/ref-raw.txt',
type=str,
help="The raw corpus.")
parser.add_argument("--clean",
default='metrics/tst-clean.t... | shengtaihuang/nlp2021 | acmlm/rawgen2clean.py | rawgen2clean.py | py | 908 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 27,
... |
72634208320 | import random
import numpy as np
import torch
from torchvision import transforms as T
from torchvision.transforms import functional as F
from torch import Tensor
from typing import List, Tuple, Any, Optional
def pad_if_smaller(img, size, fill=0):
min_size = min([img.shape[1], img.shape[2]])
if min_size < si... | ethz-asl/railway-anomaly-detection | patch_classification/transforms.py | transforms.py | py | 8,472 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "torchvision.transforms.functional.pad",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms.functional",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "random.randint",
"line_number": 40,
"usage_type": "call"
},
{... |
973753049 |
import os
import cv2
import sys
import time
import json
import pprint
import random
import pickle
import pandas as pd
import numpy as np
from pathlib import Path
from keras.layers import Input
from keras.models import Model
from tqdm import tqdm
from . import rpn
from faster_rcnn.rpn import *
from faster_rcnn.util... | Swedish-Rock-Art-Research-Archives/rock-art-radnet | faster_rcnn/RADNet.py | RADNet.py | py | 19,847 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "cv2.resize",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "cv2.INTER_CUBIC",
"line_number": 72,
"usage_type": "attribute"
},
{
"api_name": "numpy.float32",
"line_number": 84,
"usage_type": "attribute"
},
{
"api_name": "numpy.expand_dims"... |
20086076611 | import pandas as pd
from sklearn.model_selection import TimeSeriesSplit
import glob
##https://www.relataly.com/stock-market-prediction-with-multivariate-time-series-in-python/1815/#h-univariate-vs-multivariate-time-series
##df = pd.read_csv("reddit_classified_split.csv")
file_list = glob.glob("stock_dfs/*.csv")
st... | spencerstok/final_project_ml | ML.py | ML.py | py | 2,140 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "glob.glob",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.TimeSeriesSplit",
"line_number": 38,
"usage_type": "call"
}
] |
9281021760 | from email import message_from_string
from email.Header import Header
from urllib import quote
from AccessControl import ModuleSecurityInfo
from Acquisition import aq_get
from DateTime import DateTime
from Products.CMFCore.utils import getToolByName
from Products.CMFPlone.utils import safe_unicode
from Products.Five.b... | intranett/intranett | src/intranett.policy/intranett/policy/browser/invitation.py | invitation.py | py | 2,242 | python | en | code | 11 | github-code | 97 | [
{
"api_name": "zope.publisher.browser.BrowserView",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "Products.Five.browser.pagetemplatefile.ViewPageTemplateFile",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "Products.CMFCore.utils.getToolByName",
"line_n... |
22979795691 | # -*- coding: utf-8 -*-
# Resource object code
#
# Created by: The Resource Compiler for PyQt5 (Qt v5.15.2)
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore
qt_resource_data = b"\
\x00\x02\x42\x40\
\xff\
\xd8\xff\xe1\x0e\x3b\x45\x78\x69\x66\x00\x00\x4d\x4d\x00\x2a\x00\
... | niroth81/target_controller | resources_rc.py | resources_rc.py | py | 1,129,221 | python | ja | code | 0 | github-code | 97 | [
{
"api_name": "PyQt5.QtCore.qVersion",
"line_number": 16878,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore",
"line_number": 16878,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.qRegisterResourceData",
"line_number": 16887,
"usage_type": "call"
},
{
"ap... |
42635243711 | from selenium.webdriver.common.by import By
class BasePageLocators(object):
ETSY_LOGO = (By.XPATH, "//span[contains(@class, 'etsy-icon') and @id='logo']")
class SearchPageLocators(object):
SEARCH_TEXTBOX = (By.XPATH, "//input[@data-id='search-query' and @name='search_query']")
SEARCH_BUTTON = (By.XPATH, "... | JohnMart/selenium_python | common/locators.py | locators.py | py | 568 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "selenium.webdriver.common.by.By.XPATH",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.common.by.By",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.by.By.XPATH",
"line_number": 7,
"usage... |
8588801411 | #!/bin/env python
import os
import logging
import shrub
logging.basicConfig(level=logging.INFO)
################# XXX update these env accordingly XXX #############
target_name = 'cpu'
network = 'mobilenet'
useLayout = 'NCHW'
# useLayout = 'NHWC'
dtype = 'float32'
useCores = 4
bigLITTLE = 1
######################... | zhenhuaw-me/shrub | misc/tvm-workflow.py | tvm-workflow.py | py | 906 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "logging.basicConfig",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "shrub.tvm.TargetProvider",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "shrub.tv... |
26328799964 | """Handle parsing and providing pipette information."""
import re
from typing import Dict, Tuple
import struct
from opentrons_shared_data.errors.exceptions import (
InvalidInstrumentData,
PythonException,
)
from opentrons_hardware.firmware_bindings.constants import PipetteName
from opentrons_hardware.instrument... | Opentrons/opentrons | hardware/opentrons_hardware/instruments/pipettes/serials.py | serials.py | py | 3,601 | python | en | code | 363 | github-code | 97 | [
{
"api_name": "re.compile",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "typing.Dict",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "opentrons_hardware.firmware_bindings.constants.PipetteName",
"line_number": 27,
"usage_type": "name"
},
{
... |
74145845440 | """Filters collection for gleitzsch."""
import sys
import random
import numpy as np
from skimage import exposure
from skimage import transform as tf
from skimage import filters
from skimage import color
from skimage.draw import polygon
# from modules.blur_detection import detect_blur
def eprint(line, end="\n"):
"... | kirilenkobm/gleitzsch | modules/filters.py | filters.py | py | 13,002 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "sys.stderr.write",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "numpy.percentile",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "skimage.exposure.re... |
38860361338 | import os
import time
import wandb
import torch
import envpool
import numpy as np
import torch.optim as optim
from util.env_wrappers import VecAdapter
from stable_baselines3.common.vec_env import VecMonitor
from stable_baselines3.common.evaluation import evaluate_policy
def lerp(start, end, weight):
return start ... | warner-benjamin/reinforcement_scratch | util/helpers.py | helpers.py | py | 2,800 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.sched_getaffinity",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.cpu_count",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "envpool.make",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "util.env_wrappers.VecA... |
2896083573 | import evdev
from evdev import InputDevice, categorize, ecodes
class File(object):
def __init__(self, path):
self.path = path
def listen(self):
with open(self.path, 'r') as fp:
for line in fp.readlines():
yield line.strip()
# Provided as an example taken from my own keyboard attached t... | snacker-tracker/scanner | snacker_tracker/scanner/input.py | input.py | py | 2,727 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "evdev.InputDevice",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "evdev.ecodes.EV_KEY",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "evdev.ecodes",
"line_number": 49,
"usage_type": "name"
},
{
"api_name": "evdev.categor... |
31502057325 | import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt
import matplotlib.patches as patches
def image_to_np_array(image):
(im_width, im_height) = image.size
return np.array(image.getdata()).reshape((im_height, im_width, 3)).astype(np.uint8)
def load_model_to_session(sess, pb_model_path)... | sddongxh/tensorflow-object-detection-api-minimal-example | utils.py | utils.py | py | 2,841 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.array",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.gfile.GFile",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tensorflow.gfile"... |
28686480007 | """Provide functions to modify model components."""
from ast import NodeTransformer
from itertools import chain
from typing import TYPE_CHECKING, Dict
from ..core.gene import ast2str
from .delete import get_compiled_gene_reaction_rules
if TYPE_CHECKING:
from cobra import Gene, Model
# Set of tuples of operator... | ekaradag-py/TitanicTest | Collage/env/Lib/site-packages/cobra/manipulation/modify.py | modify.py | py | 5,335 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "ast.NodeTransformer",
"line_number": 58,
"usage_type": "name"
},
{
"api_name": "itertools.chain",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "delete.get_c... |
29124976991 | import json
import re
import pytz
import discord
import requests
import utils.global_variables as gv
from loguru import logger
from bs4 import BeautifulSoup
from datetime import datetime
from discord.ext.commands import Bot
from discord.ext import tasks, commands
class ThreadTasks(commands.Cog):
def __init__(self... | Sayary-NULL/CoffeeOwlBot | script/ThreadTasks.py | ThreadTasks.py | py | 4,389 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "discord.ext.commands.Bot",
"line_number": 17,
"usage_type": "name"
},
{
"api_n... |
29516751241 | import logging
import os
import sys
from collections import namedtuple
import dill
import numpy as np
import tensorflow as tf
from dgm4nlp.annealing import AnnealingSchedule
from dgm4nlp.nlputils import AERSufficientStatistics
from dgm4nlp.nlputils import Multitext
from dgm4nlp.nlputils import class_distribution
from... | uva-slpl/embedalign | embedalign/trainer.py | trainer.py | py | 19,453 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "embedalign.model.EmbedAlignModel",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "tensorflow.train.RMSPropOptimizer",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "tensorflow.train",
"line_number": 41,
"usage_type": "attribute"
},
... |
74989263040 | from typing import List
import time
class Solution:
def arrayStringsAreEqual(self, word1: List[str], word2: List[str]) -> bool:
def listToString(s):
# initialize an empty string
str1 = ""
# traverse in the string
for ele in s:
str1 += ele
... | Fawazk/Python-problems | leetcode-problems/Array/leetcode.com-problems-check-if-two-string-arrays-are-equivalent.py | leetcode.com-problems-check-if-two-string-arrays-are-equivalent.py | py | 1,076 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "time.time",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 42,
"usage_type": "call"
}
] |
25458361727 | from django.urls import path
from blogs import views
app_name = 'blogs'
urlpatterns = [
path('', views.home_page),
path('post/<slug:slug>', views.PostView.as_view(), name='post'),
path('featured/', views.FeaturedListView.as_view(), name='featured'),
path('category/<slug:slug>', views.CategoryListVie... | CodeSwallow/django-blog | blogs/urls.py | urls.py | py | 424 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "blogs.views.home_page",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "blogs.views",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.urls.path... |
40451367214 | from easydict import EasyDict as edict
from mindspore.train.model import Model
from mindspore.train import amp
from mindspore.train.amp import _config_level
from mindspore.common import dtype as mstype
from mindspore.nn.wrap.cell_wrapper import _VirtualDatasetCell
from mindspore.parallel._utils import _get_parallel_mo... | mindspore-ai/mindarmour | mindarmour/privacy/diff_privacy/train/model.py | model.py | py | 31,682 | python | en | code | 88 | github-code | 97 | [
{
"api_name": "mindarmour.utils.logger.LogUtil.get_instance",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "mindarmour.utils.logger.LogUtil",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "mindspore.ops.composite.MultitypeFuncGraph",
"line_number": 40,
... |
70790857600 |
import cv2
import numpy as np
from matplotlib import pyplot as plt
import pandas as pd
import PIL.Image as pilimg
image = cv2.imread('../data/vision2/test_dirty_mnist_2nd/50001.png', cv2.IMREAD_GRAYSCALE)
pix = np.array(image)
# 이미지 전처리 -------------------------------------
#254보다 작고 0이아니면 0으로 만들어주기
x_df2 = np.w... | bughunt88/AI_Study | vision2/dacon_img_show1.py | dacon_img_show1.py | py | 1,094 | python | ko | code | 4 | github-code | 97 | [
{
"api_name": "cv2.imread",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.IMREAD_GRAYSCALE",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"l... |
7887192928 | from flask import Flask, jsonify, request
from constants import GEOCODING_API_ENDPOINT, FORECAST_API_ENDPOINT, API_KEY
from mock import DIRECT_GEOCODING, FORECAST
import requests
app = Flask(__name__)
@app.route('/city/coordinates/<city_name>', methods=['GET'])
def get_coordinates(city_name):
url = f"{GEOCODING... | suramdivya22/weather-forecast | server/main.py | main.py | py | 1,394 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "constants.GEOCODING_API_ENDPOINT",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "constants.API_KEY",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "request... |
41865599698 | import matplotlib.pyplot as plt
a = input("Escribe el numero de personas que usan vehiculo: \n")
A = int(a)
while A < 0:
print("¡Ha escrito un número negativo! Inténtelo de nuevo")
a = input("Escribe el numero de personas que usan vehiculo: \n")
A = int(a)
b = input("Escribe el numero de person... | rulgamer03/Python-Projects | Grafica circular.py | Grafica circular.py | py | 1,559 | python | es | code | 1 | github-code | 97 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.title",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "... |
10386377775 | #!/usr/bin/python3
"""Onion Omega2 port of RPi powerbank using bq25895
https://github.com/tjohn327/raspberry_pi_ups/blob/master/src/powerpi.py
"""
from OmegaExpansion import onionI2C
import time
import sys
import logging
print("Loaded I2C Libraries")
class PowerOmega:
PORT = 0
ADDRESS = 0x6A #I2C addres... | whatnick/Onion_Feather | software/bq25895.py | bq25895.py | py | 6,839 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "OmegaExpansion.onionI2C.OnionI2C",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "OmegaExpansion.onionI2C",
"line_number": 57,
"usage_type": "name"
},
{
"api_name": "logging.info",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": ... |
30127865396 | import pytest
import numpy as np
import torch
from flambe.dataset import TabularDataset
from flambe.field import Field, TextField, LabelField
@pytest.fixture
def train_dataset():
"""Dummy dataset from file"""
return TabularDataset.from_path('tests/data/dummy_tabular/train.csv', sep=',')
@pytest.fixture
def ... | codeaudit/flambe | tests/unit/dataset/test_tabular.py | test_tabular.py | py | 12,637 | python | en | code | null | github-code | 97 | [
{
"api_name": "flambe.dataset.TabularDataset.from_path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flambe.dataset.TabularDataset",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pytest.fixture",
"line_number": 8,
"usage_type": "attribute"
},
... |
22643400385 | # SVM法で分離直線を求める
import numpy as np
from matplotlib import pyplot as plt
#データを用意
xx = np.array([
[1, 2],
[2, 4],
[3, 4],
[2, 1],
[4, 2],
[4, 3],
])
y = np.array([-1, -1, -1, 1, 1, 1])
# 最適方向ベクトルを計算する
nn = 6
coef = np.empty([nn, nn])
for i in range(nn-1):
for j in range(nn):
if i==j:
coef[i,j] =... | IwaoFujino/DMandML | DMandML/ch8ex1.py | ch8ex1.py | py | 1,562 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "numpy.array",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 22,... |
8078026905 | from data.nvPrivate import *
# from utils.augmentations import SSDAugmentation
from layers.modules.multibox_loss_blaze import BlazeMultiBoxLoss
# from ssd import build_ssd
from blazeface import build_blazeface
from data.config import celeba
import os
import sys
import time
import torch
from torch.autograd import Varia... | nszjh/ssd_blazeface.pytorch | train.py | train.py | py | 12,156 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 60,
"usage_type": "attribute"
},
{
"api_name": "torch... |
10544912881 | from collections import deque
N,M,K = map(int,input().split())
li = [list(input()) for _ in range(N)]
x1,y1,x2,y2 = map(int,input().split())
x1,y1,x2,y2 = x1-1, y1-1, x2-1, y2-1
que = deque()
que.append((x1,y1)) # i, j
check = [[-1] * M for _ in range(N)]
check[x1][y1] = 0
di,dj=(1,-1,0,0),(0,0,1,-1)
while que:
... | soulchicken/AlgorithmSolved | 백준/플래티넘3/16930_달리기.py | 16930_달리기.py | py | 864 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "collections.deque",
"line_number": 7,
"usage_type": "call"
}
] |
23951114382 | # -*- coding: utf-8 -*-
import os,json
import numpy as np
import pandas as pd
import torch
import argparse
from torch.utils.data import Dataset, DataLoader
# Importing the T5 modules from huggingface/transformers
from transformers import T5Tokenizer , AutoConfig
from transformers.generation import utils
from rich.table... | alibaba/EasyNLP | examples/mta/train.py | train.py | py | 12,044 | python | en | code | 1,835 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "rich.console.Console",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "rich.console.Console",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "ric... |
37831552008 | import sys
import numpy as np
import pytest
from astropy import units as u
from astropy.io.ascii import read
from astropy.table import setdiff
from diskchef.physics.parametrized import powerlawpiece, PieceWisePowerLaw, PowerLawPhysics
@pytest.mark.parametrize(
"input",
[
[1 * u.au, 1 * u.s, 1, 1],
... | rfranceschi/diskchef | diskchef/tests/physics/test_parametrized.py | test_parametrized.py | py | 1,280 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pytest.raises",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "astropy.units.core",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "astropy.units",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "diskchef.physics.... |
40702922597 | from channels.routing import route_class
from channels.generic.websockets import JsonWebsocketConsumer
import random
from stroopapp.models import Constants
class TaskTracker(JsonWebsocketConsumer):
url_pattern = (r'^/tasktracker/(?P<player>[0-9]+)$')
def prepare_task(self):
color_text, color_color = ... | chapkovski/stroop_test | stroopapp/otree_extensions/routing.py | routing.py | py | 808 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "channels.generic.websockets.JsonWebsocketConsumer",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "random.sample",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "stroopapp.models.Constants.colors",
"line_number": 11,
"usage_type": "attr... |
1876070501 | import streamlit as st
from pipeline import *
# from PIL import Image
from PIL import Image
import numpy as np
model = MelanomaDetection()
def display_predicted_image(json_value, image_path):
image = Image.open(image_path)
image_array = np.array(image)
for obj in json_value['objectsDetec... | samrocks03/MelanomaDetection | app.py | app.py | py | 3,777 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "PIL.Image.open",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "streamlit.image",
"line_numb... |
11606287346 | # Her bir grup verisi normal dağılım göstermeli ya da n >= 30
# Normal dağılım sağlanıyorsa One Way F Testi, sağlanmıyorsa Welch's Anova Testi ya da Kruskal Testi kullanılabilir.
# Anova testi sonucunda anlamlı farklılık çıkarsa, farklılığın hangi gruplar arasında olduğunu test etmek için Post Hoc Analizi uygulanır.... | htcSnmz/statistics_and_probability | one_way_anova.py | one_way_anova.py | py | 6,704 | python | tr | code | 0 | github-code | 97 | [
{
"api_name": "scipy.stats.f_oneway",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "scipy.stats",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "pandas.read_excel",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "scipy.stats.shapir... |
41262125176 | from discord import SyncWebhook
from selenium import webdriver
from bs4 import BeautifulSoup
import params_file
import datetime
import time
import chromedriver_autoinstaller
chromedriver_autoinstaller.install()
finished = False
webhook = SyncWebhook.from_url(params_file.discord_webhook)
print("Getting webpage resul... | rgcam/RyansWebScrapes | MicrosoftJobAlertScraper/SeleniumScraper.py | SeleniumScraper.py | py | 1,943 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "chromedriver_autoinstaller.install",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "discord.SyncWebhook.from_url",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "discord.SyncWebhook",
"line_number": 12,
"usage_type": "name"
},
{
... |
1374259075 | #!/usr/local/bin/python3
# coding:utf-8
import pymysql
import time
from datetime import date
from datetime import timedelta
from log import logger
class MysqlWxfc:
def openDB(self, ip='localhost', username='root', password='333', db='wxfc'):
db = pymysql.connect(ip, username, password, db, charset='utf8')... | everseeker0307/spider-wxfc | src/MysqlWxfc.py | MysqlWxfc.py | py | 4,880 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "pymysql.connect",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 30,
"usage_type": "argument"
},
{
"api_name": "datetime.date",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
... |
74206953278 | '''
João Pedro L. Affonso
Date: 17/02/22
Full registration.py/step ca client, capable of generating, renewing and revoking certificate, as well as logging the steps for later analysis.
'''
#sys
import sys
sys.path.insert(2, "C:\\path_to_your_telegram_variables")
# Telethon
from variables import api_id, api_hash #my i... | joaopedrolourencoaffonso/python_smallstep | 9-version/certificate.py | certificate.py | py | 7,488 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "sys.path.insert",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "logging.basicConfig",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"l... |
31439175886 | from textwrap import dedent
from docx import Document
from docx.oxml import OxmlElement, parse_xml
from docx.table import _Cell
from docx.enum.table import WD_TABLE_ALIGNMENT, WD_CELL_VERTICAL_ALIGNMENT, WD_ROW_HEIGHT_RULE
from docx.enum.text import WD_PARAGRAPH_ALIGNMENT, WD_TAB_ALIGNMENT
from docx.shared import Pt, ... | djeck1432/python_doc | main.py | main.py | py | 31,474 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "docx.oxml.OxmlElement",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "docx.oxml.ns.qn",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "docx.oxml.OxmlElement",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "docx.oxml... |
26180758539 | ###############################################################################
# gsfa_nodes: This module implements the Graph-Based SFA Node (GSFANode) and #
# the Information-Preserving GSFA Node (iGSFANode). This file belongs to the #
# Cuicuilco framework #
... | AlbertoEsc/cuicuilco | gsfa_nodes.py | gsfa_nodes.py | py | 101,340 | python | en | code | 8 | github-code | 97 | [
{
"api_name": "mdp.nodes",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "numpy.argsort",
"line_number": 136,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 138,
"usage_type": "call"
},
{
"api_name": "numpy.argsort",
"line... |
40602784581 | import json
from . import config
from . request import request, assert_user_token
def get_token(username, password, api_key=None):
"""
Retrieves user token to be used for authorizing actions.
Args:
username: str
BrickSet registration username or email.
password: s... | arturomoncadatorres/brickse | brickse/api_users.py | api_users.py | py | 6,493 | python | en | code | null | github-code | 97 | [
{
"api_name": "request.request",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "request.request",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 136,
"usage_type": "call"
},
{
"api_name": "request.assert_user_token... |
5945817236 | # Python program to read the NVD CVE downloadable JSON file and parse out only key metrics,
# including: CVE ID, Description (i.e Name), Base Score, Severity, and Impact Score
import json
# Opening JSON file
x = open('nvdcve-1.1-modified.json')
# Creating output file
y = open('nvdcve-converted.txt', 'w')
# returns ... | EC-429/NVD-CVE-JSON-Converter | NVDCVE_JSONtoFlat_Converter.py | NVDCVE_JSONtoFlat_Converter.py | py | 830 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "json.load",
"line_number": 14,
"usage_type": "call"
}
] |
20458098270 | import time
import feedparser
from luma.led_matrix.device import max7219
from luma.core.interface.serial import spi, noop
from luma.core.render import canvas
from luma.core.virtual import viewport
from luma.core.legacy import text, show_message
from luma.core.legacy.font import proportional, tolerant, CP437_FONT, TINY... | ozmatox/RSS_MAX7219 | RSS_MAX7219.py | RSS_MAX7219.py | py | 1,765 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "luma.core.interface.serial.spi",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "luma.core.interface.serial.noop",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "luma.led_matrix.device.max7219",
"line_number": 15,
"usage_type": "call"
... |
37515912783 | # Larger than Life Cellular Automata
# Author: Connor McShaffrey
# This is my second (faster) implementation of the Larger than Life cellular automata.
# It uses the convolution function from scipy.signal to count the number of neighbors
# of each cell. This is much faster than my first implementation, which use... | cmcshaff/Larger-than-Life | LtL2.py | LtL2.py | py | 1,935 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "numpy.ones",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "scipy.signal.convolve2d",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.logical_and",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.logical_an... |
8105615496 | import enum
from unicodedata import name
from piccolo.table import Table
from piccolo.table import Readable
from piccolo.columns import Varchar,Text,Array,ForeignKey
from piccolo.columns.reference import LazyTableReference
class QuestionHead(Table):
name = Varchar(length=300,null=False)
class Questi... | vivekviram123/piccolo_01 | piccolo_legal/piccolo_legal/legal/tables.py | tables.py | py | 984 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "piccolo.table.Table",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "unicodedata.name",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "piccolo.columns.Varchar",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "piccolo.... |
18688565162 | import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
import pickle
import torch
from tps import TPSGridGen
from torch.autograd import Variable
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import Dataset, DataLoader
import torch.optim as optim
class MNIS... | XavierXiao/IWAE-with-Transformation | IW-TVAE/IW_TVAE.py | IW_TVAE.py | py | 11,884 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "numpy.random.binomial",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "torc... |
36930219086 | import os
from datetime import datetime
from bson import ObjectId, json_util
from flask import Flask
from flask.json import JSONEncoder
import socketio
from root.core.views import core
from root.globals import db, login_manager, socketio
from root.users.views import users
from root.button.views import button
class ... | smbalf/Flask_MM | root/factory.py | factory.py | py | 2,209 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.json.JSONEncoder",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 19,
"usage_type": "argument"
},
{
"api_name": "bson.ObjectId",
"line_number": 21,
"usage_type": "argument"
},
{
"api_name": "bson.j... |
39474972529 | """
python plugin for collectd to obtain rabbitmq stats
"""
import collectd
import urllib2
import urllib
import json
import re
RABBIT_API_URL = "http://{host}:{port}/api/"
QUEUE_MESSAGE_STATS = ['messages', 'messages_ready', 'messages_unacknowledged']
QUEUE_STATS = ['memory', 'messages', 'consumers']
MESSAGE_STATS =... | blueboxgroup/ursula-monitoring | collectd/plugins/rabbitmq/rabbitmq.py | rabbitmq.py | py | 8,599 | python | en | code | 9 | github-code | 97 | [
{
"api_name": "collectd.info",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "collectd.info",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "collectd.info",
"line_numb... |
15230909062 | import os, multiprocessing
PORT = os.getenv("PORT", '7020')
HOST = os.getenv("HOST", '0.0.0.0')
errorlog = '-'
loglevel = 'info'
accesslog = '-'
access_log_format = '%(h)s %(l)s %(u)s %(t)s "%(r)s" %(s)s %(b)s "%(f)s" "%(a)s"'
bind = HOST+":"+PORT
workers = multiprocessing.cpu_count() * 2 + 1
threads = 2 * multiproc... | ec2ainun/air | svc/py/code/config.py | config.py | py | 340 | python | en | code | 5 | github-code | 97 | [
{
"api_name": "os.getenv",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "multiprocessing.cpu_count",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "multiprocessing.cpu_count... |
185873568 | import numpy as np
import torch
import torchvision
from torchvision import transforms
import scipy.ndimage
import random
import cv2
from . import sRGB_funs
random.seed(0)
class ErodeMask:
def __init__(self,mask_erosion_size=(6,6)):
self.mask_erosion_size = mask_erosion_size
def __call__(self,sample):
mask = ... | dlichy/ShapeAndMaterial | datasets/dataset_utils/sample_transforms.py | sample_transforms.py | py | 8,953 | python | en | code | 100 | github-code | 97 | [
{
"api_name": "random.seed",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "scipy.ndimage.ndimage.binary_erosion",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "scipy.ndimage.ndimage",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_n... |
72118455999 |
import torch.nn as nn
## 20 is the hidden dimension. arbitary choice
model = nn.Sequential(
nn.Linear(3,20), # 3 for the input features x1,x2,x3
nn.ReLU(),
nn.Linear(20,2)) # 2 for the classes
print(model) | CZYCW/LearningNotes | ml_profession/intro to dp and nn/nn_beginer.py | nn_beginer.py | py | 232 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "torch.nn.Sequential",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number... |
13319626407 | import requests
import tkinter as tk
from PIL import Image, ImageTk
import io
root = tk.Tk()
root.title("MeowFacts & CATAAS")
fact_label = tk.Label(root, text="Click the button to get a cat fact and image!")
fact_label.pack(pady=10)
image_label = tk.Label(root)
image_label.pack(pady=10)
def get_cat_fact():
url ... | cemcorbacioglu/cat-facto | catto.py | catto.py | py | 1,643 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "tkinter.Tk",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "tkinter.Label",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tkinter.Label",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number"... |
27607526384 | # Приложение проводит логирование своей работы с ротацией лог-файлов
# при достижении размера файла 1 мегабайт.
# При этом логгируются все полученные запросы и ответы приложения,
# информация о добавлении в БД новой записи, либо об изменении существующих.
# Также логируются результаты опроса статус кодов сайтов
# - зап... | Kaydalova/resource_monitoring | test_task_app/logging_config.py | logging_config.py | py | 2,033 | python | ru | code | 0 | github-code | 97 | [
{
"api_name": "logging.Formatter",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.handlers.RotatingFileHandler",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_nam... |
71298201920 | import heapq
import sys, os, io, atexit
input = lambda: sys.stdin.readline().rstrip('\r\n')
stdout = io.BytesIO()
sys.stdout.write = lambda s: stdout.write(s.encode("ascii"))
atexit.register(lambda: os.write(1, stdout.getvalue()))
# 221002 9370 미확인 도착지
# 정답코드
def dijkstar(start):
queue = []
... | Bluuubery/Problem_Solving | 백준/Gold/9370. 미확인 도착지/미확인 도착지.py | 미확인 도착지.py | py | 1,560 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "sys.stdin.readline",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "io.BytesIO",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_numb... |
74144095039 | from selenium import webdriver
import arrow
from time import sleep
import os
import re
import pyautogui as pi
from unidecode import unidecode
from _comandos_banco import CRUD
ar = arrow.now().format('DD/MM/YYYY')
key_words = ['TEMPERO','CALDINHO','CONSERVA','TABLETE', 'CONGELADO', 'COZIDO', 'INSTANTANEO', 'LATA', 'PAP... | gustavo24063/Scrap_mysql | scrap/_teste.py | _teste.py | py | 2,879 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "arrow.now",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "time.sleep",
... |
26180809649 | #####################################################################################################################
# test_GSFANode: Tests for the Graph-Based SFA Node (GSFANode) as defined by the Cuicuilco framework #
# ... | AlbertoEsc/cuicuilco | tests/test_GSFANode.py | test_GSFANode.py | py | 10,800 | python | en | code | 8 | github-code | 97 | [
{
"api_name": "numpy.random.normal",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.normal",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.rando... |
12789882011 | from django.http import HttpResponse, JsonResponse
from django.views.decorators.csrf import csrf_exempt
from rest_framework.decorators import api_view
from rest_framework.parsers import JSONParser
from .models import Person, Resume, Blog, WeekTip
from .serializers import PersonSerializer, PersonListSerializer, BlogPost... | synchronizedcontrol/website-naynay | backend/api/naynay/views.py | views.py | py | 1,824 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "models.Person.objects.all",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "models.Person.objects",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "models.Person",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "se... |
24678439267 | #
# @lc app=leetcode.cn id=1078 lang=python3
#
# [1078] Bigram 分词
#
from typing import List
# @lc code=start
class Solution:
def findOcurrences(self, text: str, first: str, second: str) -> List[str]:
_f = text.split(" ")
res = [_f[i+2] for i in range(len(_f)-2) if _f[i] == first and _f[i+1]==second]... | Leaderzhangyi/DailyProblem | 每日一题/1078.bigram-分词.py | 1078.bigram-分词.py | py | 493 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "typing.List",
"line_number": 9,
"usage_type": "name"
}
] |
38560716858 | # -*- coding: utf-8 -*-
# visit http://127.0.0.1:8050/ in your web browser.
# Load libraries
import dash
import dash_bootstrap_components as dbc
from dash.dependencies import Input, Output
import data_load_and_transformer as dlt
import graph_formater as grf
import app_layout
# Styles - CERULEAN (!), COSMO, CYBORG, D... | zanis-timsans/EduAim-app | app.py | app.py | py | 3,422 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "dash_bootstrap_components.themes",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "dash.Dash",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "app_layout.layout",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "das... |
25325752797 | from logging import getLogger
import requests
from django.conf.urls.static import static
from django.utils.translation import ugettext_lazy as _
from bitcaster.exceptions import PluginSendError
from bitcaster.utils.language import classproperty
from .. import serializers
from ..base import (CoreDispatcher, Dispatche... | bitcaster-io/bitcaster | src/bitcaster/dispatchers/handlers/slack_webhook.py | slack_webhook.py | py | 2,954 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "base.MessageType",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "base.DispatcherOptions",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "django.util... |
17529255821 | import pandas
from sklearn import preprocessing
from sklearn.model_selection import train_test_split
from sklearn.neighbors import KNeighborsClassifier
import numpy
# step 1: Create the dataset from reading csv file
dataset = pandas.read_csv('Daily_Weather_Observations.csv')
# Step 2: create the training data with la... | DajunFeng/UNSW_Study | COMP9418/Topic 2: K Nearest Neighbors/KNN.py | KNN.py | py | 1,412 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.LabelEncoder",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing",
"line_number": 18,
"usage_type": "name"
},
{
"api_name"... |
36716810660 | """bench URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/4.0/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based v... | nay-kang/session-benchmark | python/bench/urls.py | urls.py | py | 4,309 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "uuid.uuid4",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "uuid.uuid4",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "django.utils.timezone.now",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "django.utils.timezone... |
22817607528 | from django.urls import path, include
from .views import *
from .models import *
urlpatterns = [
path('categories/', CategoriesListView.as_view(), name='categories'),
path('categories/<slug:cat_name>', CategoryView, name='category'),
path('create_category/', CreateCategoryView.as_view(), name='createcateg... | Moiseenkomihail/Shop-Articles | app/shop/urls.py | urls.py | py | 479 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
41572900878 | import csv, sqlite3
from datetime import datetime
import math
'''
this class holds the business logic of the application for biking route we built.
We get requests and analyze them. If the database isn't built yet it will be built
and then the Database object will calculate different routes by measurments we create... | haiatn/pythonPPL | ass2/mybackend.py | mybackend.py | py | 6,663 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sqlite3.connect",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "csv.DictReader",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now"... |
18934371894 | import requests
from .models import TestResponse
from typing import Union,Dict
class Test():
def get(self,url:str,headers:Dict[str,Union[str,int,float,bytes]],encoding:str) -> Union[TestResponse,str]:
try:
response = requests.get(url=url, headers=headers)
response.encoding = encodin... | yangtang-special/PyUniversalKit | PyUniversalKit/Netkit/test.py | test.py | py | 966 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "typing.Dict",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "models.TestResponse",
"line_nu... |
29275740691 | from flask import current_app
from sqlalchemy import text
from api.models import CodeTableVersioned
from api.utils.helpers import find_model_from_table_name
class CodeService:
"""Service to manage Fee related operations."""
@classmethod
def find_code_values_by_type(
cls,
code_typ... | bcgov/EPIC.track | epictrack-api/src/api/services/code.py | code.py | py | 1,709 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "flask.current_app.logger.debug",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask.current_app.logger",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "flask.current_app",
"line_number": 18,
"usage_type": "name"
},
{
"ap... |
2918302971 | # -*- coding: utf-8 -*-
#
"""
Unit tests for data related operations.
"""
import tempfile
import copy
import numpy as np
import tensorflow as tf
import texar.tf as tx
from texar.tf.data import SpecialTokens
# pylint: disable=too-many-locals, too-many-branches, protected-access
# pylint: disable=invalid-name
class... | asyml/texar | tests/data/data/paired_text_data_test.py | paired_text_data_test.py | py | 7,715 | python | en | code | 2,369 | github-code | 97 | [
{
"api_name": "tensorflow.test",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.test.TestCase.setUp",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "tensorflow.test",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name... |
69829254078 | import requests
import argparse
from bs4 import BeautifulSoup
def get_page(lang_source, lang_target, word):
url = f"https://context.reverso.net/translation/{lang_source.strip().lower()}-{lang_target.strip().lower()}/{word}"
headers = {'User-Agent': 'Mozilla/5.0'}
page = requests.get(url, headers=headers)... | obotezatu/hyperskill | Multilingual Online Translator/task/translator/translator.py | translator.py | py | 3,129 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 41,
"usage_type": "call"
}
] |
35650454274 | import requests
from bs4 import BeautifulSoup
import smtplib as stm
def get_price(url ,check):
header = {
"Accept-Language":"tr,en;q=0.9,en-GB;q=0.8,en-US;q=0.7",
"User-Agent" : "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/101.0.4951.64 Safari/537.36 Edg/... | MahmutAtia/-100-Days-of-Code-The-Complete-Python-Pro-Bootcamp- | amazon_price_scraper/amazon.py | amazon.py | py | 1,496 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "smtplib.SMTP",
"line_number": 20,
"usage_type": "call"
}
] |
74040110400 | #!/usr/bin/python
# -*- coding: UTF-8 -*-
import numpy as np
import pygame as pg
import Common
import PopupBase as PB
import ButtonBase as BB
class LevelSelectPopup(PB.PopupBase):
def __init__(self,):
super(LevelSelectPopup, self).__init__();
def initBtns(self):
PB.PopupBase.initBtns(self);
btnPos = [(200,220... | kitrol/sudoku | LevelSelectPopup.py | LevelSelectPopup.py | py | 1,423 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "PopupBase.PopupBase",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "PopupBase.PopupBase.initBtns",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PopupBase.PopupBase",
"line_number": 14,
"usage_type": "attribute"
},
{
"api... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.