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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2997007497 | import networkx as nx
from gcn import GCN
import numpy as np
G = nx.karate_club_graph()
x = np.random.normal(size=(len(G.nodes), 2))
y = 1
gcn = GCN(n_layers=2)
gcn.fit_graphs([
(G, x, y)
])
| kerighan/simple-gcn | test_graph_level.py | test_graph_level.py | py | 198 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "networkx.karate_club_graph",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.random.normal",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "gcn.GCN... |
10844651924 | from collections import deque
from sys import stdin
n = int(stdin.readline())
graph = [[] for _ in range(n + 1)]
master = [0] * (n + 1)
visited = [0] * (n + 1)
for _ in range(n - 1):
a, b = map(int, stdin.readline().rstrip().split())
graph[a].append(b)
graph[b].append(a)
def bfs(node):
que = deque()
... | K1A2/algorithm_python | baekjoon/bfs_dfs/11725_트리의_부모찾기.py | 11725_트리의_부모찾기.py | py | 636 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.stdin.readline",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "sys.stdin.readline",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_nu... |
4227149701 | import logging
import tensorflow as tf
import tensorflow.keras.layers as Layer
from tensorflow.keras.layers import (
Input,
Conv2D,
Conv2DTranspose,
Concatenate,
Add,
Multiply,
Subtract,
LeakyReLU,
GlobalAveragePooling2D,
Dense,
SeparableConv2D,
UpSampling2D,
Depthwis... | sitongExpedera/tflite_model | script/gen_layer.py | gen_layer.py | py | 2,245 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "tensorflow.keras.models.Model",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.layers.Input",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.layers.Conv2D",
"line_number": 36,
"usage_type": "call"
},... |
20054036391 | import pytest
from fb_post.exceptions import InvalidUserException, InvalidCommentException
from fb_post.exceptions import InvalidReactionTypeException
from fb_post.constants import ReactionType
from fb_post.models import Reaction
from fb_post.utils import react_to_comment
pytestmark = pytest.mark.django_db
def test... | GVK289/aws_folders | clean_code/clean_code_submissions/clean_code_assignment_004/fb_post/tests/test_react_to_comment.py | test_react_to_comment.py | py | 3,607 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pytest.mark",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "fb_post.constants.ReactionType.HAHA",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "fb_post.constants.ReactionType",
"line_number": 16,
"usage_type": "name"
},
... |
31396671731 | import argparse
from pathlib import Path
import jinja2
from jinja2_strcase.jinja2_strcase import to_snake
def main():
parser = argparse.ArgumentParser()
parser.add_argument("name", type=str, nargs="?")
parser.add_argument("--path", type=str, required=True)
parser.add_argument("--template", type=str, ... | shikanime/algorithm | algorithm-python/algorithm/scripts/generate.py | generate.py | py | 1,122 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "jinja2.PackageLoader",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "jinja2.Environment",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pathli... |
33159727320 | from django.shortcuts import render, HttpResponse
from MyFastDFS import settings
import os
import json
import subprocess
from fastdfs import utils
from django.http import FileResponse
from django.http.response import JsonResponse
import configparser
from fdfs_client.client import Fdfs_client
def upload(request):
... | fzxxdyh/MyFastDFS | fastdfs/views.py | views.py | py | 2,775 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "MyFastDFS.settings.CONF_DIR",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "MyFastDFS.... |
7994648032 | from pathlib import Path
import shutil
import pandas as pd
where_csv = Path(".")
in_csv = where_csv / "random_codes.csv"
where_pdf = Path("papersToPrint")
dist_pdf = Path("distribute")
def rename_and_move_spares(r):
"""Rename files based on info from each row of the spreadsheet."""
if not pd.isnull(r["sID"])... | plomgrading/plom | contrib/onlinedist_05b_rename_papers_spares.py | onlinedist_05b_rename_papers_spares.py | py | 602 | python | en | code | 10 | github-code | 21 | [
{
"api_name": "pathlib.Path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.isnull",
"line_number"... |
25538193277 | import unittest
from flask import Flask
from crypto_blueprint import crypto_blueprint
from cryptos import Bitcoin
app = Flask(__name__)
app.register_blueprint(crypto_blueprint)
c = Bitcoin(testnet=True)
class TestGenerateCrypto(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.test_client = a... | CryptoMexFund/steal_btc | backend/tests/test_generate_crypto.py | test_generate_crypto.py | py | 1,049 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "crypto_blueprint.crypto_blueprint",
"line_number": 7,
"usage_type": "argument"
},
{
"api_name": "cryptos.Bitcoin",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "unitte... |
73034573173 | from twisted.internet import defer
from collections import namedtuple
from ._base import SQLBaseStore
from synapse.util.caches.descriptors import cached, cachedInlineCallbacks
from synapse.api.constants import Membership, EventTypes
from synapse.types import get_domain_from_id
import logging
import ujson as json
l... | LiuFang816/SALSTM_py_data | python/matrix-org_synapse/synapse-master/synapse/storage/roommember.py | roommember.py | py | 19,833 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "_base.SQLBaseStore",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "synapse.a... |
37571321942 | import pygame
import copy
import time
# import SolveSudoku
pygame.init()
# sudoku
sudoku = [[0, 0, 0, 2, 6, 0, 7, 0, 1],
[6, 8, 0, 0, 7, 0, 0, 9, 0],
[1, 9, 0, 0, 0, 4, 5, 0, 0],
[8, 2, 0, 1, 0, 0, 0, 4, 0],
[0, 0, 4, 6, 0, 2, 9, 0, 0],
[0, 5, 0, 0, 0, 3, 0, 2, 8],
... | rajatsrivas/Sudoku-Solver | SudokuSolver.py | SudokuSolver.py | py | 11,623 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pygame.init",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pygame.display",
... |
29661922928 | from manim.renderer.opengl_renderer import OpenGLRenderer
from manim.opengl import *
from manim import *
from drum import Drum
from manim_editor import PresentationSectionType as pst
from itertools import cycle
MAIN_PATH = Path(__file__).resolve().parent.parent
RESOURCE_DIR = MAIN_PATH / "resources"
sys.path.append(st... | shlomi-perles/kotler_lab_lecture | kotler_lab_lecture/code/drumScene.py | drumScene.py | py | 59,808 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "spring.Spring",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "spring.set_color",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "spring.right_spring",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "spring.get_st... |
43629344420 | import pytest
from bgtrainer.board import Board, Point, Team
def test_Point__default_is_empty():
point = Point(0)
assert point.num_checkers == 0
assert point.color is None
def test_Point__setting_to_0_checkers_removes_color():
point = Point(0, 3, Team.X)
point.num_checkers = 0
assert point.... | oradwastaken/backgammon_trainer | tests/board_test.py | board_test.py | py | 1,551 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "bgtrainer.board.Point",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "bgtrainer.board.Point",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "bgtrainer.board.Team.X",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name":... |
620432671 | # -*- coding: utf-8 -*-
"""
Created on Tue Mar 21 16:01:30 2023
@author: sebas
"""
import numpy as np
import pandas as pd
from statistics import mode, mean, variance, quantiles
# Condiciones de desnaturalizante
cond=[0.0,0.1,0.2,0.4,0.6,0.8,1.0,1.5,2.0,3.0]
# Tratectorias
trayec=[1,2,3,4]
large_ = np.zeros((4,10)... | SebastianAlzate96/Enzimas | Datos_Experimentales_Medidas_Tendencia_Central.py | Datos_Experimentales_Medidas_Tendencia_Central.py | py | 2,626 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.zeros",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pandas.Index",
"line_numb... |
33000732013 | import peewee
from playhouse.pool import PooledPostgresqlExtDatabase
class PeeweeSqliteDbFactory:
def __init__(self, path):
self.path = path
def __call__(self):
return peewee.SqliteDatabase(self.path)
class PostgresDbFactory:
def __init__(self, *args, **kwargs):
self.kwargs = kw... | Forked-ONS/domain_reader | domain/reader/orms/peewee.py | peewee.py | py | 1,691 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "peewee.SqliteDatabase",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "playhouse.pool.PooledPostgresqlExtDatabase",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "peewee.Model",
"line_number": 22,
"usage_type": "attribute"
},
{
... |
25084363461 | from tensorflow.keras.preprocessing.text import Tokenizer
from tensorflow.keras.preprocessing.sequence import pad_sequences
from tensorflow.keras.layers import Embedding, LSTM, Dense, Bidirectional,\
GRU, Dropout,GlobalAveragePooling1D, Conv1D, TimeDistributed,\
Input, Concat... | lab156/arxivDownload | embed/train_ner.py | train_ner.py | py | 19,994 | python | en | code | 7 | github-code | 21 | [
{
"api_name": "os.path.dirname",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "inspect.getfile",
"l... |
7725575482 | import sys
import argparse
import os.path
import numpy as np
import numpy.linalg
def norm(x):
return numpy.linalg.norm(x, ord=np.inf)
def main():
parser = argparse.ArgumentParser(
description='compare a numpy .npz file to a reference file')
parser.add_argument('data', metavar='A.npz', help='file... | PoliHydra/hydra | utils/npzcmp.py | npzcmp.py | py | 2,151 | python | en | code | 11 | github-code | 21 | [
{
"api_name": "numpy.linalg.norm",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "numpy.inf",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentPars... |
39894368191 | #!/usr/bin/python
import serial, time
# initialization and open the port
# possible timeout values:
# 1. None: wait forever, block call
# 2. 0: non-blocking mode, return immediately
# 3. x, x is bigger than 0, float allowed, timeout block call
ser = serial.Serial()
ser.port = "/dev/ttyUSB1"
ser.baudrate = 11... | ptich9km/autotest | Promwadserial.py | Promwadserial.py | py | 18,271 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "serial.Serial",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "serial.EIGHTBITS",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "serial.PARITY_NONE",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "serial.ST... |
16858996957 | """Class for solving nonlinear root-finding problems"""
import numpy as np
from scipy.optimize import root
class NonlinearFunc:
"""Defines a class with methods to find roots of nonlinear functions"""
def __init__(self, func, pert=1e-5):
"""Creates a new NonlinearFunc to solve func = 0.
The g... | drcnic/rpi-numpe-fall-2021 | In-class exercises/18/root_class.py | root_class.py | py | 1,872 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.ndarray",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "scipy.optimize.root",
"line_number": 60,
"usage_type": "call"
}
] |
23542931422 | import json
with open('src\data\mbfc.json') as f:
data = json.load(f)
accuracy = []
bias = []
for source in data["sources"]:
accuracy.append(source["accuracy"])
bias.append(source["bias"])
accuracy = set(accuracy)
bias = set(bias)
print(accuracy)
print(bias)
# Accuracy Labels:
# {'', 'very high', 'n... | nrking0/polario | script/data_info.py | data_info.py | py | 620 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "json.load",
"line_number": 4,
"usage_type": "call"
}
] |
34845665823 | from unittest.mock import Mock, patch
from allianceauth.eveonline.evelinks import dotlan, evewho
from app_utils.testing import NoSocketsTestCase
from ..core.xml_converter import eve_xml_to_html
from .testdata.esi_client_stub import load_test_data
from .testdata.load_entities import load_entities
from .testdata.load_e... | staropera/aa-memberaudit | memberaudit/tests/test_core.py | test_core.py | py | 4,069 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "app_utils.testing.NoSocketsTestCase",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "testdata.load_eveuniverse.load_eveuniverse",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "testdata.load_entities.load_entities",
"line_number": 19,
... |
34519390427 | """
Pexpect makes Python a better tool for controlling other applications.\
Pexpect is a pure Python module for spawning child applications; controlling them; and responding to expected patterns in their output.
"""
import pexpect
import os
import pytesseract
import re
from config import *
from PIL import Image
curren... | paradisetechsoftsolutions/Making-OCR-from-a-object-detection-model | cropping_after_detection.py | cropping_after_detection.py | py | 1,970 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.getcwd",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pexpect.spawn",
"line_number"... |
21823478123 | import json
from asgiref.sync import async_to_sync
from channels.generic.websocket import WebsocketConsumer
from .models import Message, Contact, Chat
from core.models import User
import datetime
import time
class ChatConsumer(WebsocketConsumer):
def fetch_messages(self, data):
Messages = Chat.o... | Abdelrahman-Farah/elms-backend | chat/consumers.py | consumers.py | py | 3,383 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "channels.generic.websocket.WebsocketConsumer",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "models.Chat.objects.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "models.Chat.objects",
"line_number": 14,
"usage_type": "attribute"
... |
27772975425 | import sys
sys.path.append(".")
sys.path.append("..")
import numpy as np
import tensorflow as tf
import scipy.io
from CX.CX_helper import *
from CX.enums import TensorAxis, Distance
from easydict import EasyDict as edict
vgg_rawnet = scipy.io.loadmat('/home/xuanerzh/Documents/deepzoom/VGG_Model/imagenet-vgg-verydeep-... | ceciliavision/zoom-learn-zoom | loss.py | loss.py | py | 8,655 | python | en | code | 306 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_numbe... |
31152032372 | import matplotlib.pyplot as plt
import tensorflow as tf
import numpy as np
from tensorflow.keras.models import Sequential
XTrain,XTest,YTrain,YTest = np.load('xy.npy',allow_pickle = True)
cnn=Sequential()
cnn = tf.keras.models.load_model("FinalExam.h5")
hist=cnn.fit(XTrain,YTrain,batch_size=28,epochs=100,validation_da... | BeTheWings/InteligenciaArtificial- | FinalExam/untitled3.py | untitled3.py | py | 847 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.load",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.models.Sequential",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.models.load_model",
"line_number": 8,
"usage_type": "call"
},
{
"api... |
37004762128 | """
Asynchronous Advantage Actor Critic (A3C) with Discrete
action space, Reinforcement Learning by MoFan.
Add API by MrFive
"""
import multiprocessing
import threading
import tensorflow as tf
import numpy as np
import os
import shutil
import sys
import copy
import matplotlib.pyplot as plt
from tensorflow.contrib impo... | Mrfive1001/ReinforcementLearning | 6 TSP/A3C_Dis.py | A3C_Dis.py | py | 12,545 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "multiprocessing.cpu_count",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.Session",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "tensorflow... |
8838458160 | from django.db import models
# Create your models here.
class pprofile(models.Model):
MY_CHOICES = (
('1', 'تهران'),
('2', 'خوزستان'),
('3', 'بوشهر'),
('4', 'خراسان رضوی'),
('5', 'اصفهان'),
('6', 'فارس'),
('7', 'آذربایجان شرقی'),
('8', 'مازندران'),
... | Parham-Mehrabi/parhamkala-v.1 | parhamkala/pprofile/models.py | models.py | py | 1,019 | python | fa | code | 2 | github-code | 21 | [
{
"api_name": "django.db.models.Model",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": ... |
228004709 | """Objectify an FMU case (results) as it appears on the disk."""
import os
from pathlib import Path
import uuid
import glob
import time
import logging
import warnings
import datetime
import yaml
import pandas as pd
from fmu.sumo.uploader._fileondisk import FileOnDisk
from fmu.sumo.uploader._upload_files import uploa... | hnformentin/fmu-sumo | src/fmu/sumo/uploader/caseondisk.py | caseondisk.py | py | 15,791 | python | en | code | null | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "logging.CRITICAL",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "fmu.sumo.uploade... |
25671625348 | import datetime
import logging
import time
import httpx
import psycopg2
from apscheduler.schedulers.background import BackgroundScheduler
from psycopg2 import extras as ex
conn = psycopg2.connect(...)
cursor = conn.cursor()
cursor.execute('''CREATE TABLE IF NOT EXISTS public.danmaku
(
roomid bigint,
time big... | Drelf2018/api.nana7mi.link | database.py | database.py | py | 7,549 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "psycopg2.connect",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 119,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 165,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"line_numb... |
27735000515 | from pprint import pprint
import requests
import time
url = 'https://api.vk.com/method'
token = 'bc2b91e2ce1e94e69513f5cdaec19f9fcced8505e612541c8908882e4e68894eba6ee38778ff315b3f9b6'
# params = {
# 'user_ids': '2606515',
# 'access_token': f'{token}',
# 'v': '5.131',
# 'fields': 'sex, universities, pho... | Dimach110/HomeWork_Projects | Requests/VK_requests_01.py | VK_requests_01.py | py | 634 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pprint.pprint",
"line_number": 24,
"usage_type": "call"
}
] |
24543390835 | import aiohttp
import asyncio
from concurrent.futures import ALL_COMPLETED
async def fetch(client, service):
async with client.get(service) as resp:
return await resp.text()
async def asynchronous(n):
async with aiohttp.ClientSession() as client:
a = await asyncio.wait({fetch(client, 'http:/... | ARBaranov/Third-semester | Repository/w12/ex1_w12.py | ex1_w12.py | py | 534 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "aiohttp.ClientSession",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "asyncio.wait",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "concurrent.futures.ALL_COMPLETED",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "a... |
22231553905 | import pandas as pd
from sklearn.ensemble.forest import RandomForestRegressor
import time
dset = pd.read_csv("./data/concrete_data.csv")
X = dset.iloc[:, 0:7]
y = dset.iloc[:, 8]
estimator = RandomForestRegressor(max_features = 3, n_estimators = 50, n_jobs = 1, oob_score = True)
t0 = time.time()
estimator.fit(X, y... | paulstey/random_forests | testing/python_test.py | python_test.py | py | 347 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sklearn.ensemble.forest.RandomForestRegressor",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 12,
"usage_type": "call"
},
{
"api_name":... |
40685639854 | # -*- coding: utf-8 -*-
"""
Created on Mon Sep 18 12:53:01 2023
@author: candy
"""
import cv2
import time
win = cv2.imread('win.png')
win_hist = cv2.calcHist([win], [2], None, [256], [0, 256])
def win_judge(img):
win_now_hist = cv2.calcHist([img[66:116, 105:208]], [2], None, [256], [0, 256])
comp_percent = c... | afuku08/jikken | rei.py | rei.py | py | 553 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cv2.imread",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.calcHist",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.calcHist",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.compareHist",
"line_numb... |
35908199675 | '''
Estimating Pi.
Created 28/03/23
Developed by Fraser Love
'''
import numpy as np
import matplotlib.pyplot as plt
def darts(n):
'''
Places n points uniformly in the unit square and returns a n x 3 array storing
their position and a boolean value describing if they fall within the unit circle.
... | fraserlove/algo-lab | mathematical-computing/estimating_pi.py | estimating_pi.py | py | 2,321 | python | en | code | 21 | github-code | 21 | [
{
"api_name": "numpy.random.rand",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "numpy.sqrt",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_... |
70437575413 | """empty message
Revision ID: 2e61722a3b29
Revises: 0fd42a67381a
Create Date: 2016-12-06 22:26:52.945470
"""
# revision identifiers, used by Alembic.
revision = '2e61722a3b29'
down_revision = '0fd42a67381a'
from alembic import op
import sqlalchemy as sa
def upgrade():
### commands auto generated by Alembic - ... | KoiosChen/OLT-REGISTER | migrations/versions/2e61722a3b29_.py | 2e61722a3b29_.py | py | 797 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "alembic.op.add_column",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.String"... |
6501423650 | import argparse
import os
from typing import Type, Any
from pyobs import version
def init_cli():
# init argument parsing
# for all command line parameters we set the default to an environment variable,
# so they can also be specified that way
parser = argparse.ArgumentParser()
# config
parse... | pyobs/pyobs-core | pyobs/cli/pyobs.py | pyobs.py | py | 2,559 | python | en | code | 8 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pyobs.version",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "py... |
42681122117 | import torch
import torch.nn as nn
import torch.nn.functional as F
class ConvGRUCell2(nn.Module):
def __init__(self, input_channel, output_channel, kernel_size):
super(ConvGRUCell2, self).__init__()
# filters used for gates
gru_input_channel = input_channel + output_channel
self.o... | gpcv-liujin/REDNet-pytorch | models/module.py | module.py | py | 16,379 | python | en | code | 14 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
9428824391 | from django.contrib.auth import login, logout, authenticate
from django.db import IntegrityError
from django.urls import reverse
from django.http import HttpResponseRedirect
from django.shortcuts import render
from django.core.mail import EmailMessage
from django.template.loader import render_to_string
from djan... | JossueJativa/LoginConCorreoVerificacion | UsoUsuariosAuth/LoginUser/views.py | views.py | py | 14,848 | python | es | code | 0 | github-code | 21 | [
{
"api_name": "django.shortcuts.render",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 46,
"usage_type": "call"
},
{
"api_name"... |
14588674624 | import requests
from bs4 import BeautifulSoup
import pandas as pd
"""Get reviews and store them in a file, the only problem is, it might not get
all the reviews present on steam, but maybe 60-75% of them. Also, if there
is an error, just run it again, that should work ig """
"""You only need to set the 4 pa... | Shalaka003/CDPR-Sentiment-Analysis | steam_reviews.py | steam_reviews.py | py | 2,883 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"l... |
14406284722 | from math import floor
from functools import reduce
def fuel_calculator(mass):
"""Function to return required fuel, takes mass as the only argument"""
return (floor(mass / 3) - 2)
def fuel_calculator_recursive(mass):
"""Recursive function to return required fuel, takes into account the mass of fuel itse... | thegreatmoonmoon/moony-advent-of-code | Day1/funcs.py | funcs.py | py | 1,541 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "math.floor",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "functools.reduce",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "functools.reduce",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "functools.reduce",
"l... |
837956914 | # builder class for building the model
import torch
import torch.nn as nn
import yaml
import os
import sys
import sys
import os
current_dir = os.path.dirname(os.path.abspath(__file__))
parent_dir = os.path.dirname(current_dir)
sys.path.insert(0, parent_dir)
sys.path.insert(0, current_dir)
from layers import Layers
... | bilalkah/MachineLearning | biloCNN/builder/model.py | model.py | py | 3,458 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.dirname",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"l... |
5924009774 | # -*- coding: utf-8 -*-
"""
Created on Thu Aug 17 10:35:17 2017
run time analysis
$job_ID$/h/work/tachyonjob/host/summary.xml
@author: vincchen
"""
import xml.etree.ElementTree as ET
import numpy as np
import matplotlib.pyplot as plt
xml_file = ET.ElementTree(file='17_CTM+_summary.xml')
xml_root = xm... | jchenpanyu/Python_SMO | run-time_extraction_and_plot/SMO_per-stage_run-time_extraction_and_plot.py | SMO_per-stage_run-time_extraction_and_plot.py | py | 1,038 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "xml.etree.ElementTree.ElementTree",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 26,
"usage_type": "call"
},
{
"... |
74533531251 | import sys
import pymysql
from datetime import datetime
from datetime import timedelta
import os
try:
import urllib.request as urllib2
except ImportError:
import urllib2
import codecs
import re
datasource_id = str(sys.argv[1])
dateToStart = str(sys.argv[2])
password = str(sys.argv[3])
irctype = st... | FLOSSmole/apache_irc | 1getApacheLogs.py | 1getApacheLogs.py | py | 5,696 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number... |
9146514275 | import gym
from PIL import Image
from time import sleep
import argparse
import os
from collections import namedtuple
import pandas as pd
import numpy as np
from tqdm import tqdm
import random
from PIL import Image
import PIL
from time import sleep
import argparse
import os
from collections import namedtuple
import pand... | k4ntz/MOC | src/gt_bounding_boxes.py | gt_bounding_boxes.py | py | 4,982 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "os.makedirs",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 3... |
70370091253 | #螺旋矩阵
from typing import List
# class Solution:
# def spiralOrder(self, matrix: List[List[int]]) -> List[int]:
# bottom=len(matrix)
# right=len(matrix[0])
# ret=[]
# top,left=0,0
# while top<bottom and left<right:#开区间还是闭区间，得用开区间
# for i in range(left,righ... | gouwei222/leetcode-python3 | leetcode54.py | leetcode54.py | py | 2,210 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 29,
"usage_type": "name"
}
] |
38735169183 | from django.contrib.auth.models import AbstractUser
from django.db import models
class User(AbstractUser):
USER = 'user'
ADMIN = 'admin'
roles = (
(USER, USER),
(ADMIN, ADMIN),
)
email = models.EmailField(
'Email',
unique=True,
max_length=254,
error_... | sem4kulem4/foodgram-project-react | backend/foodgram_backend/users/models.py | models.py | py | 1,582 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.contrib.auth.models.AbstractUser",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.db.models.EmailField",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.db.models",
"line_number": 12,
"usage_type": "name"
},
{
... |
24059591820 | import RPi.GPIO as GPIO
import json
import time
import twitter
# TODO: Turn these into command line arguments OR config file parameters
HASHTAG = "%23avianaart"
QUERY = f'q={HASHTAG}&result_type=recent&since_id='
PINS = [11, 13, 15, 16] # physical locations on the GPIO strip
def setup_gpio(pins: list):
"""
Set u... | tjdaley/twitterswitch | app.py | app.py | py | 2,646 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "RPi.GPIO.setwarnings",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "RPi.GPIO.setmode",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO",
"line_n... |
71325653493 |
import serial
import time
comm_port = "COM8"
ser = serial.Serial(
comm_port,
baudrate=115200,
parity=serial.PARITY_NONE,
stopbits=serial.STOPBITS_ONE,
bytesize=serial.EIGHTBITS,
... | glenn-edgar/esp32_python_client | modbus_test/python_loop_back_test.py | python_loop_back_test.py | py | 509 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "serial.Serial",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "serial.PARITY_NONE",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "serial.STOPBITS_ONE",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "serial.E... |
19142433047 | #Use the BeautifulSoup and requests Python packages to print out a list of all the article titles on the New York Times homepage.
import requests
from bs4 import BeautifulSoup
url = 'https://www.nytimes.com/'
r = requests.get(url)
r_html = r.text
soup = BeautifulSoup(r_html, "lxml")
title = soup.find_all("h2")
for ... | katepodbelnaya/python-exercises | decode_a_web_page.py | decode_a_web_page.py | py | 533 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 10,
"usage_type": "call"
}
] |
18588935961 | # Licensed under a 3-clause BSD style license - see LICENSE.rst
# This module implements the Slicing mixin to the NDData class.
from astropy import log
from astropy.wcs.wcsapi import (
BaseHighLevelWCS, # noqa: F401
BaseLowLevelWCS, # noqa: F401
HighLevelWCSWrapper,
SlicedLowLevelWCS,
)
__all__ = [... | astropy/astropy | astropy/nddata/mixins/ndslicing.py | ndslicing.py | py | 4,498 | python | en | code | 4,015 | github-code | 21 | [
{
"api_name": "astropy.log.info",
"line_number": 112,
"usage_type": "call"
},
{
"api_name": "astropy.log",
"line_number": 112,
"usage_type": "name"
},
{
"api_name": "astropy.log.info",
"line_number": 121,
"usage_type": "call"
},
{
"api_name": "astropy.log",
"l... |
6611554944 | import pickle
import logging
from pymongo import collection
def dataset_splits(data, labels, batch_size):
""" Given the data, return constantly sized
batches of the dataset, which will be saved to the
database"""
for i in range(0, len(data), batch_size):
yield data[i:i + batch_size],... | DiegoStock12/kubeml | python/storage/utils.py | utils.py | py | 876 | python | en | code | 16 | github-code | 21 | [
{
"api_name": "pymongo.collection.Collection",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pymongo.collection",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "logging.debug",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "p... |
71007349814 | # -*- coding: utf-8 -*-
"""
Created on Tue May 29 22:26:46 2018
@author: Derek Christensen
"""
from __future__ import print_function
from __future__ import division
import random
import math
#import numpy as np
#import pandas as pd
import scipy.stats as stats
#import matplotlib.pyplot as plt
#import ... | cderekw4224/AdvSim_AdvSimStatTechs | t-test-testing.py | t-test-testing.py | py | 1,278 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "scipy.stats.t.ppf",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "scipy.stats.t",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "scipy.stats",
"line_number": 40,
"usage_type": "name"
}
] |
24211980150 | from enum import Enum
from typing import cast
import numpy as np
from board import Board, Empty, Number
class Direction(Enum):
UP = (0, -1)
DOWN = (0, 1)
LEFT = (-1, 0)
RIGHT = (1, 0)
class Player:
def __init__(self, x_pos, y_pos):
self.value = "@"
self.x_pos = x_pos
se... | ivenw/Portfolio | hungry-snail/hungry_snail/player.py | player.py | py | 2,659 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "enum.Enum",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "board.Board",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 24,... |
27601105766 | import threading
from modules.const import Const
from modules.lib.agent_utils import get_mac
from modules.lib.report_queue import ReportQueue
from modules.lib.reporter_manager import ReporterManager
from modules.things_cloud.device import ThingsCloudDevice
from modules.things_cloud.operation_handler import OperationDis... | atmark-techno/ThingsCloud-samples | Armadillo-IoT_GW/modules/things_cloud/things_cloud.py | things_cloud.py | py | 3,440 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "modules.const.Const.DEFAULT_CLOUD_REPORT_INTERVAL_SEC",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "modules.const.Const",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "modules.lib.agent_utils.get_mac",
"line_number": 48,
"usag... |
850675236 | from netzob.all import *
from xml.etree.ElementTree import Element
from xml.etree.ElementTree import SubElement
from xml.etree.ElementTree import ElementTree
class PitConver:
def __init__(self, proto_Obj = Symbol):
self.proto_Obj = proto_Obj;
self.no_num = 0
self.no_raw = 0
self.no... | Du-Mu/protofuzz | exprot_pit.py | exprot_pit.py | py | 16,008 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "xml.etree.ElementTree.SubElement",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree.SubElement",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree.SubElement",
"line_number": 80,
"usage_type": "ca... |
26892043460 | import pymlir
import numpy as np
import os
import math
import sys
import datetime
from tqdm import tqdm
from utils.mlir_shell import mlir_lowering
from utils.mlir_parser import MlirParser
from utils.preprocess import preprocess
from calibration.data_selector import DataSelector
SKIP_OPERATION = [
'top.Input', 'top... | ljqljq111/tpu-mlir | python/calibration/mix_precision.py | mix_precision.py | py | 10,140 | python | en | code | null | github-code | 21 | [
{
"api_name": "sys.stdout",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "sys.stdout",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "os.devnull",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "utils.mlir_shell.mlir... |
21823467363 | from rest_framework import serializers
from chat.models import Chat, Contact
from core.models import User
class ChatSerializer(serializers.ModelSerializer):
participants = serializers.SerializerMethodField()
class Meta:
model = Chat
fields = ['id', 'participants', 'messages']
def ... | Abdelrahman-Farah/elms-backend | chat/api/serializers.py | serializers.py | py | 1,408 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.SerializerMethodField",
"line_number": 7,... |
22266448406 | #!/usr/bin/env python
from __future__ import print_function
import argparse
import os
import six
import chainer
from chainer import training
from chainer.training import extensions
import cifar
from updater import DCGANUpdater, WGANGPUpdater
from visualize import out_generated_image
from dataset import *
#from chai... | eggplant60/dcgan_anime | train.py | train.py | py | 6,078 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "net96.Generator",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "net96.Discriminator",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "chainer.c... |
7688574533 | import os
import pathlib
import tkinter as tk
class HelpWindow(tk.Toplevel):
'''
Toplevel window for displaying the help pannel
'''
def __init__(self, master):
tk.Toplevel.__init__(self,
master,
# width=width,
... | AddMELAB/pydrm_GUI | pydrm/app/window_help.py | window_help.py | py | 756 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "tkinter.Toplevel",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "tkinter.Toplevel.__init__",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tkinter.Toplevel",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "... |
2672943190 | import json
import sys
import os
from pathlib import Path
from cloudpathlib import S3Path
def create_execution_data_file(
bucket_name: str, execution_data_key: str, new_and_updated_documents_file_name: str
) -> None:
"""Create the test execution data file dynamically from environment variables in the test.""... | climatepolicyradar/navigator-data-ingest | integration_tests/setup_execution_data_file.py | setup_execution_data_file.py | py | 1,055 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cloudpathlib.S3Path",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_n... |
16477966532 | import math
import time
from matplotlib import pyplot as plt
from matplotlib.ticker import MultipleLocator
from mypylib import random as rn
from mypylib import mat_iter as mi
from mypylib import root_fit as rf
import numpy as np
import scipy.stats as stats
def stat_mean1d(arr):
if len(arr)==0: return
... | Enigma811/P346 | DIY project/support.py | support.py | py | 2,983 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.pi",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "numpy.exp",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "mypylib.random.myLCG",
"line_nu... |
1739370623 | from __future__ import annotations
import dataclasses
from ..shared import filteraction as shared_filteraction
from ..shared import filterevent as shared_filterevent
from ..shared import property as shared_property
from dataclasses_json import Undefined, dataclass_json
from enum import Enum
from posthog import utils
fr... | speakeasy-sdks/posthog-python-sdk | src/posthog/models/shared/trend.py | trend.py | py | 3,012 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "enum.Enum",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "shared.filteraction.FilterAction"... |
1846341162 | import contextlib
import sys
import cv2
import k4a
import numpy as np
import plotly
import plotly.graph_objs as go
def viz(device: k4a.Device):
while True:
capture = device.get_capture(-1)
if capture.depth.data is not None:
cv2.imshow('Depth', capture.depth.data)
if capture.ir... | GiveMeTheReason/gestures-navigation | kinect/run_camera.py | run_camera.py | py | 2,887 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "k4a.Device",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "cv2.imshow",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number":... |
40764225335 | # coding=utf-8
from scrapy.spiders import Spider
from scrapy.selector import Selector
# from modules.crawler.crawler.items import PAPAnnonce
class PAPSpider(Spider):
name = "pap"
allowed_domains = ["pap.fr"]
start_urls = [
"http://www.pap.fr/annonce/locations-appartement-40-annonces-par-page"
... | qingl97/instantIdea | modules/crawler/crawler/spiders/pap.py | pap.py | py | 1,662 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "scrapy.spiders.Spider",
"line_number": 8,
"usage_type": "name"
}
] |
7424787752 | import scrapy
import re
import hashlib
import os
class WWW58cheSpider(scrapy.Spider):
name = 'WWW58cheSpider'
allowed_domains = ['58che.com']
start_urls = ['http://www.58che.com/']
def parse(self, response):
for url in response.css('div#iconav ul li>a::attr(href)').getall():
#print... | wForget/SpiderDemo | ScrapyDemo/FirstDemo/FirstDemo/spiders/WWW58cheSpider.py | WWW58cheSpider.py | py | 2,113 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "scrapy.Spider",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Request",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",
... |
38908466969 | # -*- coding: utf-8 -*-
from Display import Display
from Timer import Timer
from Heater import Heater
from enum import Enum
from queue import Queue, LifoQueue
import threading
import time
BREAD_IMAGE = '../assets/bread.jpg'
ZOPF_IMAGE = '../assets/zopf.jpg'
BANANE_IMAGE = '../assets/banane.png'
class Application_St... | mitea1/dukital | src/Application.py | Application.py | py | 6,881 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "enum.Enum",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "Display.Display",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "Timer.Timer",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "Heater.Heater",
"line_numbe... |
39798953984 | from math import sqrt
import itertools
def solution(nums):
answer = 0
for i in list(map(sum, itertools.combinations(nums, 3))):
for j in range(2, int(sqrt(i)) + 1):
if i % j == 0:
break
else:
answer += 1
return answer
nums = [1,2,3,4]
n... | cheol-95/Algorithm | Python/080. 소수만들기/Make Primenumber.py | Make Primenumber.py | py | 752 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "itertools.combinations",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 7,
"usage_type": "call"
}
] |
36802498247 | # -*- coding:utf-8 -*-
import io
import os
from os import rename, listdir
import sys
# reader .csv file
import csv
# http caller
import requests
# create xls, xlsx
import openpyxl
from openpyxl import Workbook
# check system info
import platform
from time import sleep
from datetime import datetime
# Crawling lib
f... | Mineru98/AutoBench | AutoBench.py | AutoBench.py | py | 25,701 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "sys.stdout",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "io.TextIOWrapper",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "sys.stdout.detach",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"... |
4628839332 | from config.config import Configuration
from obspy import read, Stream
import os
class Files:
''' Mendapatkan semua files sesuai konfigurasi pencarian '''
def __init__(self):
self.config = Configuration().get()
def search_default(self, date):
input_directory = self.config['input_directory'... | martanto/another-converter | cores/files.py | files.py | py | 8,171 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "config.config.Configuration",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "obspy.read",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"lin... |
38061552837 |
import argparse
from PIL import Image
import torch
from torchvision import transforms
import models
import os
from torchvision.utils import save_image as imwrite
from torch.autograd import Variable
import pyiqa
#from models.cdfi_adacof import CDFI_adacof
import skimage.metrics
#from lpips_pytorch import lpips
import... | junsang7777/VOS-VFI | interpolate_video_folder+accuracy_example.py | interpolate_video_folder+accuracy_example.py | py | 7,714 | python | en | code | 19 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms.Compose",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 34,
"usage_type": "name"
},
{
"api... |
27709300256 | from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column,Integer,String,Boolean,DateTime
from sqlalchemy.schema import ForeignKey
from sqlalchemy.orm import relationship
Base = declarative_base()
class GuacamoleClientInfo(Base):
__tablename__='guac... | czx0619/frontend | LABOSS-dev/backend/orm/tables.py | tables.py | py | 4,818 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer",
"line_number": 12,
"usage_type": "argument"
},
{
... |
37706701483 | import pandas as pd
import numpy as np
from sklearn.model_selection import KFold
from sklearn import linear_model
from tqdm import tqdm
from tabulate import tabulate
from sklearn.metrics import mean_squared_error
filename = 'sd-data_cleanedv1.csv'
data = pd.read_csv(filename)
cl_data = data.values
# Getting data an... | CarlaZdravkovicHugod/classification-and-regression-bodysignals | baseline_reg.py | baseline_reg.py | py | 1,213 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.delete",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.KFold",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.empt... |
72100084533 | #coding=utf-8
import random
import warnings
warnings.filterwarnings("ignore")
import math
import os
import re
import numpy as np
import torch
import torch.utils.data as tud
import sklearn.metrics as metrics
from sklearn.metrics import roc_auc_score
from help_helper import *
# 不在20个碱基内的用X表示
aa = {"... | CSUBioGroup/TripHLApan | TripHLApan/codes/helper.py | helper.py | py | 10,604 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 139,
"usage_type": "call"
},
{
"api_name": "numpy.insert",
"line_number": 143,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"... |
6640566763 | import json
import torch
import tempfile
import inspect
from fate_arch.computing.non_distributed import LocalData
from fate_arch.computing._util import is_table
from federatedml.model_base import ModelBase
from federatedml.nn.homo.trainer.trainer_base import get_trainer_class, TrainerBase
from federatedml.nn.backend.ut... | Seceum/SeceumFL | python/federatedml/nn/homo/client.py | client.py | py | 14,452 | python | en | code | 15 | github-code | 21 | [
{
"api_name": "federatedml.nn.homo.trainer.trainer_base.ExporterBase",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "torch.nn",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "torch.optim",
"line_number": 44,
"usage_type": "attribute"
},
{
... |
31934128182 | from config import CONFIG
# Events staging table queries
STAGING_EVENTS_TABLE_CREATE = (
"""
CREATE TABLE events_staging (
artist_name VARCHAR,
auth VARCHAR,
first_name VARCHAR,
gender CHAR(1),
item_in_session INT,
last_name VARCHAR,
length DECIMAL,
... | fvendrameto/redshift-data-warehouse | sql_queries.py | sql_queries.py | py | 5,648 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "config.CONFIG",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "config.CONFIG",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "config.CONFIG",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "config.CONFIG",
"line_n... |
19767511042 | ## @package layers
# Module caffe2.python.layers.layers
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, schema, scope
from caffe2.python.layers.tags import TagContext
from collections i... | lumtis/react-native-caffe2 | caffe2/caffe2/python/layers/layers.py | layers.py | py | 10,652 | python | en | code | 39 | github-code | 21 | [
{
"api_name": "caffe2.python.schema.List",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "caffe2.python.schema",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "numpy.int64",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "caffe... |
17947707383 | import time
import cv2
import mediapipe as mp
import numpy as np
from pose.stats import *
from PIL import ImageFont, ImageDraw, Image
import pyttsx3
class PoseDetector:
mpDraw = mp.solutions.drawing_utils
mpPose = mp.solutions.pose
pose = mpPose.Pose()
arrows = []
first_time = True
speech = {
... | henna-kim/the-way-of-yoga-v2 | pose/Pose.py | Pose.py | py | 5,914 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "mediapipe.solutions",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "mediapipe.solutions",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "pose.stats",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "cv2.cvtC... |
32064631011 | import datetime
import errno
import getpass
import happy.state
import itertools
import logging
import multiprocessing.pool
import os
import pickle
import socket
import sys
import time
import urlparse
import webhdfs
LOG = logging.getLogger()
def setup_socket(port, sock=socket.socket()):
try:
sock.bind(('1... | mk23/happy | lib/runner.py | runner.py | py | 3,502 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "socket.error",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "errno.EADDRINUSE",
... |
27118237403 | import asyncio
import copy
from datetime import datetime
import discord
from discord.ext import commands
class LockServer(commands.Cog):
"""Lock the server and block everyone to send messages"""
def __init__(self, bot):
self.bot = bot
self.db = bot.plugin_db.get_partition(self)
@commands.... | sskewer/Modmail-Plugins | lockserver/lockserver.py | lockserver.py | py | 1,698 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "copy.copy",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "copy.copy"... |
70746942773 | import requests
import urllib.parse
import json
import csv
import pandas as pd
from time import sleep
google_key = 'PUT_GOOGLE_KEY_HERE'
base_url = 'https://maps.googleapis.com/maps/api/geocode/json?'
wiki_df = pd.read_csv('project\data\wiki_table.csv')
const_df = pd.read_csv('project\data\constituents_csv.csv')
wit... | basedrhys/global-stock-vis | scripts/stock_location.py | stock_location.py | py | 1,367 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "urllib.parse.parse.quote_p... |
8252766984 | from astropy.table import Table, hstack
import numpy as np
import pickle
from astropy.stats import sigma_clip
from scipy import stats
from scipy.interpolate import CubicSpline
from sklearn import neighbors
from sklearn.neighbors import NearestNeighbors
from src.models import StarCluster
from src.param_loader import D... | jorgeanais/reddening-correction | src/difred.py | difred.py | py | 12,228 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "astropy.table.Table",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.ndarray",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "numpy.ndarray",
... |
10071766504 | """Testing Sansorchi package"""
import pytest
from sansorchi import data
from sansorchi import Sansorchi
sansorchi = Sansorchi(level=None)
@pytest.mark.parametrize("word", data.fa["word"])
def test_word(word):
"""Test word function"""
assert sansorchi.remove_bad_words(word) == ""
@pytest.mark.parametrize(... | mmdbalkhi/Sansorchi | tests/test_word.py | test_word.py | py | 453 | python | en | code | 15 | github-code | 21 | [
{
"api_name": "sansorchi.Sansorchi",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sansorchi.remove_bad_words",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": ... |
9669794417 | from collections import namedtuple
#data structure for what is stored in the database, corresponds to the db columns
MetricTableData = namedtuple(
'MetricData',
[
'name',
'region_name',
'elevation',
'elevation_unit',
'value',
'cycletime',
'forecast_hour',... | NOAA-PSL/score-db | src/harvest_translator.py | harvest_translator.py | py | 894 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.namedtuple",
"line_number": 4,
"usage_type": "call"
}
] |
11809323663 | import numpy as np
import os
import pickle
import collections
def savetopickle(filepath, obj):
with open(filepath, 'wb') as f:
pickle.dump(obj, f, protocol=pickle.HIGHEST_PROTOCOL)
f.close()
def loadfrompickle(filepath):
with open(filepath, 'rb') as f:
obj = pickle.load(f... | isaac60103/text_summary | ts_case_model/common/statics.py | statics.py | py | 5,055 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "pickle.dump",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pickle.HIGHEST_PROTOCOL",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pickle.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"... |
19435008211 | import sys
import Settings
import Tracker
import datetime
class JiraTracker(object):
def main(self):
try:
settings = Settings.Settings(sys.argv[1])
try:
date = datetime.date.strftime(sys.argv[2], '%Y-%m-%d')
except IndexError:
date = date... | dor-denis/JiraTracker | build/lib/JiraTracker/JiraTracker.py | JiraTracker.py | py | 902 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "Settings.Settings",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "datetime.date.strftime",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.date"... |
38523355984 | # Kashyap Todi. 13 May, 2020.
# Script to check a folder containing video and subtitle files for compliance to SIGCHI requirements.
# Before running the script, create a folder with all video and subtitle files (no sub-folders or other files)
# Include the path to this folder as the argument
# Optionally, include a tim... | kashtodi/SIGCHI-Video-Checker | check_format.py | check_format.py | py | 4,552 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "os.path.isdir",
"... |
12265171060 | import scrapy
def clear_text(text):
return (
text
.replace("\t", "")
.replace("\n", "")
.replace("\r", "")
.strip()
)
class BlogSpider(scrapy.Spider):
name = 'blogspider'
start_urls = ['https://www.ludopedia.com.br/leiloes/ultimas-24-horas']
def parse(self, r... | paulatavares16/ludotracker | myspider.py | myspider.py | py | 2,147 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "scrapy.Spider",
"line_number": 12,
"usage_type": "attribute"
}
] |
7227963057 | import requests
import matplotlib.pyplot as plt
import concurrent.futures
import yaml
from datetime import date
from utils import MatchData
from PIL import Image
import base64
import io
import os
yaml_file = yaml.load(open(os.path.join(os.path.dirname(os.path.abspath(__file__)), "keys.yaml")), Loader=yaml.FullLoader)
... | THajiyev/FRC-Head-to-Head-Record | graphing.py | graphing.py | py | 6,599 | python | en | code | 24 | github-code | 21 | [
{
"api_name": "yaml.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_numbe... |
7949340449 |
import math
import pandas as pd
from IPython.display import display
# Function to get Option Price for a given M
def optionpricecalculator(M, u, d, p):
putoptionlist = []
calloptionlist =[]
for i in range(M+1):
calloptionlist.append(0)
putoptionlist.append(0)
for i in range(M+1):
... | jwalit24/Option-Pricing-and-CAPM | lab1/200123026_q1.py | 200123026_q1.py | py | 1,575 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "math.exp",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "math.exp",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "math.exp",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 42,
"us... |
34426243885 | import snowflake.connector
con_def = snowflake.connector.connect(user='nidaalyssads',
host='zh80053.ap-southeast-3.aws.snowflakecomputing.com',
account='zh80053',
region = 'ap-southeast-3',
... | kevin-developeramat/digitalskolade12 | nida/datamart_delete_nida.py | datamart_delete_nida.py | py | 1,782 | python | en | code | null | github-code | 21 | [
{
"api_name": "snowflake.connector.connector.connect",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "snowflake.connector.connector",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "snowflake.connector",
"line_number": 3,
"usage_type": "name"
}
] |
27176163953 | import csv
import io
from models import Modelz
from apps.home import blueprint
from flask import render_template, request, jsonify, make_response, Response
from jinja2 import TemplateNotFound
import sys
sys.path.append(r"C:\Users\Jodi\Documents\GitHub\beans")
Modelz = Modelz()
@blueprint.route('/overview', methods=... | joderz/beans | apps/home/routes.py | routes.py | py | 11,871 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "models.Modelz",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "flask.request.method",
... |
16650094424 | import torch
import torch.nn as nn
__all__ = ['ConfidenceBCELoss']
class ConfidenceBCELoss(nn.Module):
def __init__(self, *args, conf_factor=0, **kwargs):
r"""Assumes input from model have already passed through sigmoid"""
super(ConfidenceBCELoss, self).__init__()
self.base_loss = nn.BCELo... | alabamagan/deep_learning_projects | rAIdiologist/rAIdiologist/config/loss/rAIdiologist_loss.py | rAIdiologist_loss.py | py | 1,593 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "torch.nn.BCELoss",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_num... |
25457006387 | from collections import deque
def bfs(startHeight, startWidth, goalHeight, goalWidth, visitList):
global result, resultCheck
bfsDeque = deque()
bfsDeque.append([startHeight, startWidth, 0])
while bfsDeque:
thisDeque = bfsDeque.popleft()
thisHeight = thisDeque[0]
thisWidth = th... | jy940408/algorithm_python | PYTHONBreadthFirstSearch/장군.py | 장군.py | py | 2,450 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.deque",
"line_number": 6,
"usage_type": "call"
}
] |
7303170257 | import os
import time
import copy
from scipy.io import loadmat, savemat
import matplotlib.pyplot as plt
import numpy as np
fs = 16e3 # Sampling frequency
def if_earlier(time_str, std_time_str='2014-07-01', fmt_str='%Y-%m-%d'):
std_struct_time = time.strptime(std_time_str, fmt_str)
struct_time = time.strpti... | yw5aj/YoshiRecordingData | data15/calibrate.py | calibrate.py | py | 2,359 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "time.strptime",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "time.strptime",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "scipy.io.loadmat",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line... |
20985559182 | import json
import time
import typing
import bs4
import dotenv
import numpy
import requests
from DBClient import DBClient
from WatchTimestamp import WatchTimestamp
ENV = dotenv.dotenv_values()
DB_URI = ENV["DB_URI"]
URL = ENV["URL"]
TG_API_KEY = ENV["TELEGRAM_API_KEY"]
TG_CHAT_ID = ENV["CHAT_ID"]
TIMEOUT_SECONDS = ... | CodeOfRob/chrono24Scraper | app.py | app.py | py | 1,911 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "dotenv.dotenv_values",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "typing.Union",
... |
37763352976 | import os
import secrets
from flask import Flask, render_template, request, flash, redirect, send_from_directory
from werkzeug.utils import secure_filename
import torch
import torchaudio
from model import model, transform, channel, label_encoder
UPLOAD_FOLDER = "static/upload"
ALLOWED_EXTENSIONS = {"mp3"}
SAVED_NAME ... | abdaloth/Quranthon | main_local.py | main_local.py | py | 2,386 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "secrets.token_urlsafe",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "flask.request... |
4514724238 | from enum import Enum
from typing import List, Iterable, Tuple
import numpy as np
from nptyping import Array
import Strings
class GameStatus(Enum):
NOT_FINISHED = 1
PLAYER1_WIN = 2
PLAYER2_WIN = 3
DRAW = 4
class Board:
def __init__(self, board_size: int = 3, symbol1: str = Strings.DEFAULT_SY... | aanellien/TicTacToe | Board.py | Board.py | py | 6,279 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "enum.Enum",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "Strings.DEFAULT_SYMBOL1",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "Strings.DEFAULT_SYMBOL2",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "S... |
6974707714 | import tkinter as tk
from tkinter import filedialog as fd
from tkinter import messagebox as mbox
import os
import imageio
import PIL.Image, PIL.ImageTk
import cv2
from tkinter import *
from PIL import Image,ImageTk
from matplotlib import pyplot as plt
import numpy as np
plt.style.use("dark_background")
root= tk.T... | AbhishekKarmakar5/Brain-Tumour-Localization-and-Detection | Impro.py | Impro.py | py | 13,072 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 13,
"usage_type": "name"
},
{
"api_na... |
2836508644 | import numpy as np
import torch
from torch import nn
from torch.nn import TransformerEncoderLayer
from torch.nn import TransformerEncoder
def pos_enc(max_seq_len, emb_size):
''' Init the sinusoid position encoding table '''
# keep dim 0 for padding token position encoding zero vector
position_enc = np.ar... | qianrenjian/bert4rec-1 | bertModel.py | bertModel.py | py | 3,532 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "numpy.array",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.power",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 17... |
20553851925 | from typing import Union
from fastapi import FastAPI
#models
from models.message_model import MessageApi
#data conection Mysql
from config.mysql_conection import hostMysql
from config.mysql_conection import userMysql
from config.mysql_conection import passwordMysql
from config.mysql_conection import dbMysql
#data c... | rodrigog84/fsatapi_reclamos | main.py | main.py | py | 7,564 | python | es | code | 0 | github-code | 21 | [
{
"api_name": "openai.api_key",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "config.openai_conf.openai_apikey",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "fastapi.FastAPI",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "... |
9097362501 | import ray
import jax.tree_util
from .base import DeviceObject
from .register import dispatch
from secretflow.device.device.pyu import PYUObject
class HEUObject(DeviceObject):
"""HEU Object
Attributes:
data: The data hold by this Heu object
location: The party where the data actually resides
... | primihub/hackathon | winning-project/Vpcdap/code/隐私求交/PSI/secretflow/device/device/heu_object.py | heu_object.py | py | 2,960 | python | en | code | 18 | github-code | 21 | [
{
"api_name": "base.DeviceObject",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "ray.ObjectRef",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "register.dispatch",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "register.dispat... |
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