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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
10674707362 | from decimal import Decimal
import pytest
import requests
from ibptws.calculadoras import DeOlhoNoImposto
from ibptws.calculadoras import CEM
def test_deolhonoimposto_inicio():
calc = DeOlhoNoImposto()
assert calc.carga_federal().is_zero()
assert calc.carga_federal_nacional().is_zero()
assert calc.... | base4sistemas/ibptws | ibptws/tests/test_calculadoras.py | test_calculadoras.py | py | 6,292 | python | pt | code | 10 | github-code | 70 | [
{
"api_name": "ibptws.calculadoras.DeOlhoNoImposto",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pytest.instancia_resp_sucesso_produto",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "decimal.Decimal",
"line_number": 28,
"usage_type": "call"
... |
13092272304 | import numpy as np
import matplotlib.pyplot as plt
from math import sqrt, pi
# ~ import calcMiso
micdata = np.genfromtxt('MicrostructureText_Layer4.mic',skip_header=4)
grains = np.genfromtxt('GrainsLayer4.csv',skip_header=9)
nGrains,z = grains.shape
out=np.zeros((nGrains,8))
for grainNr in range(nGrains):
grain = grai... | marinerhemant/MIDAS | utils/PlotFFNF.py | PlotFFNF.py | py | 978 | python | en | code | 18 | github-code | 70 | [
{
"api_name": "numpy.genfromtxt",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.genfromtxt",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_num... |
3663130973 | # -*- coding: utf-8 -*-
from testsIntegrationDB.context import instabotpatrik
from testsIntegrationDB.context import testcommon
import logging
import unittest
import pymongo
import instabotpatrik.repository
import instabotpatrik.model
import datetime
from testsIntegrationDB import common
import pytz
import freezegun
l... | Patrik-Stas/InstabotPatrik | testsIntegrationDB/test_repository.py | test_repository.py | py | 7,792 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "testsInt... |
6061516069 | import pygame
from pygame.math import Vector2
import random
import math
import sys
pygame.init()
screen_info = pygame.display.Info()
# Set the window size to match the screen size
screen_width, screen_height = screen_info.current_w, screen_info.current_h
window_size = (screen_width, screen_height)
WIN = ... | ATR2400/Alex_T_Projects | Pong/Pong.py | Pong.py | py | 6,038 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "pygame.init",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.display.Info",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.set_m... |
74817666787 | import linecache
import re
from spell_checker import *
def dict_all() -> dict:
dic_data = {}
count = 26
count_2 = 1000
letter = "A"
for j in range(count):
for i in range(count_2):
k = "".join([letter, str(i).zfill(3)])
dic_data[k] = []
letter... | Levon-98/spell-checker | checker.py | checker.py | py | 2,300 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "linecache.getline",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 69,
"usage_type": "call"
}
] |
70094861986 | import cv2
faceCascade = cv2.CascadeClassifier("Model/OpenCVTrainedPara.xml")
cap = cv2.VideoCapture(0) # open the camera
cap.set(3, 640) # set Width
cap.set(4, 480) # set Height
while True:
success, img = cap.read() # read in the information of the camera now
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
... | 0010SS/MLXAIFaceRec | PlainFaceDetection.py | PlainFaceDetection.py | py | 1,073 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "cv2.CascadeClassifier",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY"... |
31556609688 | from databaseWorker import *
from flask import Flask, render_template, redirect, request
app = Flask("Chat", template_folder = "template")
prepareDb("userLoginMessage.db")
login = ""
@app.route('/')
def index():
rows = getLoginsAndMessages("userLoginMessage.db")
saveLogin = "<textarea name=\"login\" id=\"tex... | Septiemiy/NG_2023_Paschenko_Danilo | Python/Lesson_6/Task1/webserver.py | webserver.py | py | 842 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask.request... |
72381170785 | """
This program is free software: you can redistribute it and/or modify it under the terms of the GNU
General Public License as published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT... | genomewalker/refine-contigs | refine_contigs/split.py | split.py | py | 12,250 | python | en | code | 6 | github-code | 70 | [
{
"api_name": "logging.getLogger",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "sys.setrecursionlimit",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "datatable.options",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "datata... |
71100510626 | import socket
from datetime import datetime
from server import Server
class ServerLinear(Server):
def __init__(self) -> None:
super().__init__()
def run_server(self):
server_socket = socket.socket(
socket.AF_INET, socket.SOCK_STREAM, proto=0)
server_socket.bind(('', self.p... | SpongeFrogy/Cpp_and_unix-algorithms | sem7/lab4/server_linear.py | server_linear.py | py | 999 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "server.Server",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "socket.socket",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM",
... |
12097125564 | import os
import json
import boto3
def lambda_handler(event, context):
TABLE_NAME = os.environ["TABLE_NAME"]
dynamodb = boto3.resource('dynamodb')
table = dynamodb.Table(TABLE_NAME)
return {
"statusCode": 200,
"body": json.dumps({
"success": True,
"items":... | a-poor/hello-cicd-sam | functions/items/app.py | app.py | py | 367 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "boto3.resource",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 14,
"usage_type": "call"
}
] |
35209379675 | # -*- coding: utf-8 -*-
#
# Imports
import torch
from torch.utils.data.dataset import Dataset
import torchlanguage.transforms
import urllib
import os
import zipfile
import json
import codecs
import random
import pickle
import numpy as np
from datetime import datetime
# Reuters C50 dataset
class ReutersC50Dataset(Dat... | nschaetti/TorchLanguage | torchlanguage/datasets/ReutersC50Dataset.py | ReutersC50Dataset.py | py | 8,602 | python | en | code | 9 | github-code | 70 | [
{
"api_name": "torch.utils.data.dataset.Dataset",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "torchlanguage.transforms.transforms.Token",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "torchlanguage.transforms.transforms",
"line_number": 52,
"usag... |
13267434383 | import numpy as np
from matplotlib import pyplot as plt
nes = [10, 20, 50, 80, 100, 120, 200]
plt.rcParams.update({'font.size': 15})
fig = plt.figure()
ax = fig.subplots()
data = []
lines = []
names = []
for n in nes:
data.append(np.load('data/energies-%d.npy' % n))
lines.append(ax.plot(data[-1][0], data[-1]... | SilverCol/DMRG-Methods | energy.py | energy.py | py | 509 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "matplotlib.pyplot.rcParams.update",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 6,
"usage_type": "name"
},
{
"... |
29804954416 | #!/usr/bin/python3
"""Reformating a set of downloaded csvs."""
import pandas as pd
import numpy as np
import urllib
import string
import multiprocessing
import os
import argparse
import sys
# Base url and debugging stuff for pandas
pd.set_option('max_colwidth', 2000)
pd.set_option('display.width', 20000)
BASE_URL = '... | pcrady/when_i_work | script.py | script.py | py | 2,226 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pandas.set_option",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.set_option",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "string.ascii_lowercase",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "panda... |
71034392226 | import uuid
from dataclasses import field
from datetime import timedelta
from typing import List, Optional, Union
from jose import jwt
from pydantic.dataclasses import dataclass
from kpm.settings import settings as s
from kpm.shared.domain.time_utils import now_utc_sec
def _get_expire_time(
valid_from: int, exp... | keepemapp/back | kpm/shared/entrypoints/auth_jwt.py | auth_jwt.py | py | 5,406 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "typing.Union",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "datetime.timedelta",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "datetime.timedelta",
"line_number": 20,
"usage_type": "argument"
},
{
"api_name": "typing.Optiona... |
5979454854 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('geo', '0001_initial'),
('events', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Grante... | ecds/attorney | attorney/apps/people/migrations/0001_initial.py | 0001_initial.py | py | 2,087 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 15,
"usage_type": "call"
},
... |
7462780183 | from pathlib import Path
from shlib import Run
import nestedtext as nt
import arrow
import os
import re
now = arrow.now()
def create_logfile(age, extra=''):
path = Path('test.log')
path.write_text(f"entry written = {age} days ago.{extra}")
ctime = now.shift(days=-age, seconds=-600)
os.utime(str(path),... | KenKundert/ntlog | tests/test_script.py | test_script.py | py | 5,671 | python | en | code | 2 | github-code | 70 | [
{
"api_name": "arrow.now",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.utime",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 41,
... |
40547835316 | import pygame as pygame
pygame.init()
fsize = 20
font = pygame.font.SysFont("comicsans", fsize)
left = 42
middle = 540
right = 1030
first_height = 100
second_height = 250
third_height = 400
middle_height = 300
small_radius = 35
big_radius = 145
din = 10
small_delta = 37
big_delta = 177
army_price = 20... | Rudolf199/python-code-review | consts.py | consts.py | py | 2,781 | python | en | code | 1 | github-code | 70 | [
{
"api_name": "pygame.init",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pygame.font.SysFont",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pygame.transform.scale"... |
38075733308 | import cv2
import pandas as pd
import matplotlib.pyplot as plt
import datetime
import numpy as np
import os
import progressbar
class Dataset_Class():
def __init__(self, sequence, lidar=True, progress_bar=True, low_memory=True):
self.lidar = lidar
self.low_memory = low_memory
... | Smatnemo/EventBasedVisualOdometry | Event-BasedVisualOdometry/visual_odometry/dataclass.py | dataclass.py | py | 6,371 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "os.listdir",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 32,
... |
37925822321 | import pandas as pd
import statsmodels.api as sm
import matplotlib.pyplot as plt
def change_to_celsius(x):
'''change temperature from Fahr to C'''
degree = (x-32)*5/9
return degree
def analyze(data, figure_filename):
'''perform analysis on mosquito data
data is a DataFrame with columns 'te... | yanssbu/software-carpentry-workshop | analyze_mosquito_data.py | analyze_mosquito_data.py | py | 1,271 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "statsmodels.api.OLS.from_formula",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "statsmodels.api.OLS",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "statsmodels.api",
"line_number": 19,
"usage_type": "name"
},
{
"api_nam... |
25164755438 | import os
import shutil
import v4l2capture
from ctypes import *
import struct
import array
from fcntl import ioctl
import cv2
import numpy as np
import time
from sys import argv
import getopt
import sys
import select
import termios
import tty
import threading
import paddlemobile as pm
from paddlelite import *
import co... | Amoza-Theodore/Baidu2020 | src_old/Car_Class_client.py | Car_Class_client.py | py | 36,913 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "PIL.ImageFile.LOAD_TRUNCATED_IMAGES",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "PIL.ImageFile",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "os.path.exists",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": ... |
37284784561 | from __future__ import (absolute_import, division, print_function, unicode_literals)
from itertools import groupby
from urllib.request import urlopen
import json
import requests
import pygal
import math
def download_file():
json_url = "https://raw.githubusercontent.com/muxuezi/btc/master/btc_close_2017.json"
... | sunyujun16/python_work | practices/chapter_16/16-2/btc_close_2017.py | btc_close_2017.py | py | 3,511 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "urllib.request.urlopen",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_... |
16438043046 |
from django.urls import path
from .views import (cart,checkout,store,PoductDetailView,
Product_tag_ListView,PoductCreateView,UpdateItem,store_search,
productUpdateView,owner_ListView,productDeleteView)
urlpatterns = [
path('',store.as_view(),name='store'),
path('cart/',cart ,name='cart'),
... | Milansojitra/E-farmfactory | efarmfactory/store/store_urls.py | store_urls.py | py | 1,007 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "views.store.as_view",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "views.store",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.urls.path",
... |
27111261047 | import pyodbc
def loadDatabase():
databasenames = []
# database = 'master'
# DESKTOP - P2C1O13\SQLEXPRESS2008
# N11 - TO - TBSQL01
DBload_cnxn = pyodbc.connect(
'DRIVER={SQL Server};SERVER=DESKTOP-P2C1O13\SQLEXPRESS2008;database=master;Trusted_Connection=yes;')
cursor = DBload_c... | shivnaren/GUIDynamic | DD/LoadDatabase.py | LoadDatabase.py | py | 603 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pyodbc.connect",
"line_number": 7,
"usage_type": "call"
}
] |
17874438561 | import csv
import numpy
import time
import selector as slctr
from sklearn.model_selection import train_test_split
import pandas as pd
import fitnessFUNs
import argparse
import numpy as np
from sklearn.decomposition import PCA
from sklearn.preprocessing import StandardScaler
parser = argparse.ArgumentParser()
parser.ad... | rabeeqasem/cervical_cancer_detection | task_3_modeling/Two-Step-Feature-Enhancement/main.py | main.py | py | 5,155 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.expand_di... |
16424227389 | import cv2
def count_faces_webcam():
# Load the pre-trained face cascade classifier
face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
# Open the default webcam
webcam = cv2.VideoCapture(0)
while True:
# Read the current frame fro... | Farhan-ali123/Count-number-of-faces | count number of faces.py | count number of faces.py | py | 1,172 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "cv2.CascadeClassifier",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.data",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
... |
28402340091 | from __future__ import print_function
import json
import boto3
print('Loading function')
#Expects snapshotIds
def lambda_handler(event, context):
print("Received event: " + json.dumps(event, indent=2))
# get EC2 client
ec2 = boto3.client('ec2')
# get the snapshotIds passed
snapshotIds ... | exNewbie/terraform-aws-automate-ebs-snapshot | scripts/SSM-Automation-CheckSnapshots.py | SSM-Automation-CheckSnapshots.py | py | 1,019 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "json.dumps",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 14,
"usage_type": "call"
}
] |
10427929465 | import pandas as pd
from progressbar import *
import os
import json
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
# minSupport, minConfigure
minSupport = 0.1
minConfigure = 0.5
property = ['location', 'Area Id', 'beat', 'Priority', 'Incident Type Id', 'Event Number']
# Association_rules
cla... | zhangguolei/TheSecondHomework | Algo.py | Algo.py | py | 7,678 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pandas.read_csv",
"line_number": 118,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 119,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 120,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
37244776188 | from expertai.nlapi.cloud.client import ExpertAiClient
import os
import json
language = 'en'
os.environ["EAI_USERNAME"] = 'ambarish.ganguly@gmail.com'
os.environ["EAI_PASSWORD"] = 'Ambarish@1234'
class textinsights:
keyphrases = ""
keyentities = ""
keyrelationsrelated =""
sentiments = ""
emotions ... | ambarishg/expert_ai_app | textanalytics.py | textanalytics.py | py | 3,499 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "os.environ",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "expertai.nlapi.cloud.client.ExpertAiClient",
"line_number": 19,
"usage_type": "call"
},
{
"api_name... |
40974894368 | # db.py
import os
import psycopg2
from langchain.vectorstores.pgvector import PGVector
from psycopg2 import OperationalError
from psycopg2.extras import Json, DictCursor
class Database:
def __init__(self):
self.conn = None
def connect(self):
if not self.conn:
try:
... | LiamConnell/codelabyrinth | coder/db.py | db.py | py | 1,323 | python | en | code | 7 | github-code | 71 | [
{
"api_name": "psycopg2.connect",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "psycopg2.OperationalError",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "psycopg2.extras.... |
3008753434 | import json
from indy.did import create_and_store_my_did
from indy.ledger import build_node_request, build_nym_request, build_get_txn_request
from indy.pool import refresh_pool_ledger
from plenum.test.node_catchup.helper import waitNodeDataEquality, \
ensureClientConnectedToNodesAndPoolLedgerSame
from plenum.test.... | thesauri/indy-plenum | plenum/test/pool_transactions/helper.py | helper.py | py | 28,924 | python | en | code | null | github-code | 70 | [
{
"api_name": "plenum.client.wallet.Wallet",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "plenum.common.constants.TXN_TYPE",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "plenum.common.constants.TARGET_NYM",
"line_number": 40,
"usage_type": "name"... |
23470399848 | '''
Created on Mar 31, 2014
@author: anuvrat
Use python 2.7 for this one
'''
from ortools.constraint_solver import pywrapcp
def read_puzzle(lines):
puzzle_name = lines[0]
puzzle = []
for line in lines[1:]:
puzzle.extend(map(int, list(line.strip())))
return puzzle_name.strip(), puzz... | anuvrat/project-euler-python | src/problem_91_100/problem_96.py | problem_96.py | py | 2,237 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "ortools.constraint_solver.pywrapcp.Solver",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "ortools.constraint_solver.pywrapcp",
"line_number": 24,
"usage_type": "name"
}
] |
72014849511 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import argparse
import os
import torch
from dataloader import DataLoader
from poketto.nlp.data import MachineTranslationDataLoader
from poketto.pytorch.train import Trainer
from transformer.models import Transformer
def parse_args():
parser = argparse.ArgumentPars... | Yevgnen/transformer | examples/train.py | train.py | py | 4,279 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "dataloader.DataLoader",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "poketto.nlp.data.MachineTranslationDataLoader",
"line_number": 58,
"usage_type": "argument"... |
32454792626 | import zmq
import sys
import hashlib
import os
import threading
partSize = 1024 * 1024 * 10
def uploadFile2(filename, socket):
with open(filename, "rb") as f:
finished = False
part = 0
while not finished:
print("Uploading part {}".format(part))
f.seek(part*partSize)... | edgos7/cliente-servidor | ServidorArchivos/ftclient.py | ftclient.py | py | 6,699 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "hashlib.sha1",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "hashlib.sha1",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "zmq.REQ",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "os.remove",
"line_number":... |
34875784737 | # coding:utf-8
# @time:2022/3/4下午4:45
# @author:sdh
from PIL import Image
import os
import glob
def get_white_background_images(convert=True):
"""
get white background
:param convert:
:return:
"""
if convert:
ori_images_path = "/media/lessmart/work/sdh/math/print_math/"
ori_im... | newuserforstudy/latex2img | process_background.py | process_background.py | py | 1,232 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "glob.glob",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": ... |
43483655438 | #!/usr/bin/env python3
from datetime import datetime, timedelta
import matplotlib.pyplot as plt
from scipy.signal import filtfilt, butter
import bench as _b
import numpy as np
_TPoint = tuple[datetime, float]
def _last_n(data: list[_TPoint], delta: timedelta):
assert len(data) > 0
res: list[_TPoint] = []
... | twh2898/fridge | analyze/plot.py | plot.py | py | 3,178 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "datetime.datetime",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "datetime.timedelta",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "scipy.signal.butter",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "scipy.signal.... |
24584275053 | from typing import Optional, List
import collections
# Definition for a binary tree node.
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
class Solution:
def levelOrderBottom(self, root: Optional[TreeNode]) -> List[List... | brandoneng000/LeetCode | medium/107.py | 107.py | py | 894 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "typing.Optional",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "collections.deque",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 10,
"usage_type": "name"
}
] |
24762643657 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('djangocms_reversion2', '0003_pageversion_dirty'),
]
operations = [
migrations.AlterModelOptions(
name='pageversi... | Blueshoe/djangocms-reversion2 | djangocms_reversion2/migrations/0004_auto_20170526_1128.py | 0004_auto_20170526_1128.py | py | 628 | python | en | code | 9 | github-code | 71 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AlterModelOptions",
"line_number": 14,
"usage_type": "call"
... |
36627493814 | import re
from typing import Dict
from pytranscoder import verbose
from pytranscoder.media import MediaInfo
valid_predicates = ['vcodec', 'res_height', 'res_width', 'runtime', 'filesize_mb', 'fps', 'path']
numeric_predicates = ['res_height', 'res_width', 'runtime', 'filesize_mb', 'fps']
class Rule:
def __init__... | mlsmithjr/transcoder | pytranscoder/rule.py | rule.py | py | 2,736 | python | en | code | 110 | github-code | 71 | [
{
"api_name": "typing.Dict",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pytranscoder.media.MediaInfo",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "pytranscoder.verbose",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "pytrans... |
7840439894 | from django.urls import path
from . import views
urlpatterns = [
path('', views.home, name='home'),
path('sign_up', views.sign_up, name='sign_up'),
path('sign_in', views.sign_in, name='sign_in'),
path('sign_out', views.sign_out, name='sign_out'),
path('post/', views.post_list, name='post_list'),
... | kiritka-jain/my-first-blog | blog/urls.py | urls.py | py | 665 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
38051232808 | import numpy as np
import matplotlib.pyplot as plt
def u0(x):
return x + np.cos(x)
def F2(x, y1, y2):
return x * np.sin(x) - np.cos(x) * y2 - np.sin(x) * y1
def F(x, y1, y2):
F_y1 = y2
F_y2 = x * np.sin(x) - np.cos(x) * y2 - np.sin(x) * y1
return [F_y1,F_y2]
def Euler(xn, y_y1, y_y2, h):
for... | Mashhch/chislakilab | labachislaki5.py | labachislaki5.py | py | 6,280 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "numpy.cos",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 12,
"us... |
29459160281 | import datasets as ds
import torch
import numpy as np
from transformers import SwinForImageClassification, Trainer, TrainingArguments, AutoFeatureExtractor
dataset = ds.load_dataset("imagefolder", data_dir="./datasmall",cache_dir='./cache')
#print(dataset)
'''
#making sure it is working
ex=dataset['train'][40... | asparsa/face-quality-assessment | dataset_train.py | dataset_train.py | py | 2,892 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "datasets.load_dataset",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "transformers.AutoFeatureExtractor.from_pretrained",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "transformers.AutoFeatureExtractor",
"line_number": 19,
"usage_type... |
30188244452 | import sys
_module = sys.modules[__name__]
del sys
input_data = _module
model = _module
test = _module
word2vec = _module
from _paritybench_helpers import _mock_config, patch_functional
from unittest.mock import mock_open, MagicMock
from torch.autograd import Function
from torch.nn import Module
import abc, collection... | eladhoffer/pytorch-jit-paritybench | generated/test_Adoni_word2vec_pytorch.py | test_Adoni_word2vec_pytorch.py | py | 4,289 | python | en | code | null | github-code | 71 | [
{
"api_name": "sys.modules",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "_paritybench_helpers.patch_functional",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "unittest.mock.mock_open",
"line_number": 17,
"usage_type": "call"
},
{
"api... |
13770456309 | from cgi import print_form
import discord
import random
import asyncio
import cv2
import numpy as np
from PIL import Image
import copy
num_of_rows = 4
num_of_cols = 4
empty_square = ':white_large_square:'
blue_square = ':blue_square:'
brown_square = ':brown_square:'
orange_square = ':orange_square:'
yellow_square = '... | Shynderio/Game2048 | g2048.py | g2048.py | py | 3,295 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "random.randint",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "numpy.rot90",
"line_number": 90,
"usage_type": "call"
},
{
"api_name": "numpy.rot90",
"line_num... |
18428331192 | #!/usr/bin/python3
"""
BaseModel class that defines all common attributes/methods for other classes
"""
import uuid
from datetime import datetime
import models
import json
time_format = "%Y-%m-%dT%H:%M:%S.%f"
class BaseModel:
"""
BaseModel: The base or parent class for all the classes
Features:
... | Boscomunich/AirBnB_clone | models/base_model.py | base_model.py | py | 2,204 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "uuid.uuid4",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.... |
37967132644 | import pygame as pg
import math
from enum import Enum
size = width, height = 1400, 1000
num_players = 3
class ImageInsEnum(Enum):
LEFT = 0
FORWARD = 1
RIGHT = 2
PAUSE = 4
control_mapping = {"0": ImageInsEnum.LEFT, "1": ImageInsEnum.FORWARD, "2": ImageInsEnum.RIGHT, "3": ImageInsEnum.PAUSE}
data_dir ... | alessio-b-zak/SwishFish-game | settings.py | settings.py | py | 855 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "enum.Enum",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "math.atan2",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 33,
"usage_type": "call"
}
] |
22765869924 | from typing import Union, List, Tuple, Iterable, Any, cast, Dict, Iterator, Generator, Callable
import math
import json
import elasticsearch.helpers
from elasticsearch.exceptions import TransportError, RequestError
from elasticsearch_dsl import Q, A, Search
from elasticsearch_dsl.query import Query as EsQuery
from pyda... | mohammadnakhaee/nomad | nomad/search.py | search.py | py | 51,142 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "typing.Any",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "typing.cast",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "nomad.app.v1.models.Query",
"line_number": 50,
"usage_type": "argument"
},
{
"api_name": "nomad.metainfo.e... |
38763983274 | from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser, FileType
import z3
from pysynthlab.helpers.parser.src.ast import CommandKind, ASTVisitor
from pysynthlab.synthesis_problem import SynthesisProblem
def main(args):
file = args.input_file.read()
problem = SynthesisProblem(file, int(args.sygus... | gschandan/PySynthLab | pysynthlab/runner.py | runner.py | py | 4,545 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pysynthlab.synthesis_problem.SynthesisProblem",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "z3.Solver",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "z3.parse_smt2_string",
"line_number": 18,
"usage_type": "call"
},
{
"api_... |
32709393055 |
import sys
sys.path += ["."] # Python 3 hack
from nose.tools import assert_equal, assert_is_instance, assert_in, assert_not_in, assert_true, assert_false
from GeneratingDataset import *
from Dataset import DatasetSeq
import numpy as np
import os
import unittest
import better_exchook
better_exchook.replace_traceback... | mhsamavatian/CSE5245 | get_supported_device/returnn/tests/test_GeneratingDataset.py | test_GeneratingDataset.py | py | 1,630 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "better_exchook.replace_traceback_format_tb",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "Log.log.initialize",
"line_number": 15,
"usage_type": "call"
},
{
"api_na... |
17879022244 | import uuid
import subprocess
import dash
from dash import html
from dash import dcc
from dash.dependencies import Output, Input, State
import plotly.graph_objects as go
import base64
import tempfile
import scipy.io.wavfile as wav
import numpy as np
external_stylesheets = [
'https://stackpath.bootstrapcdn.com/boots... | ccrome/diy-pcb | app.py | app.py | py | 2,731 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "dash.html.Div",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "dash.html",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "dash.html.Div",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "dash.html",
"line_number": ... |
10890830047 | import multiprocessing
import os
import threading
import time
from queue import Queue
from threading import Thread
from psutil import virtual_memory
from grandpa.utils.standard import print_warning, check_debug
class MultiprocessingManager:
"""
Manages the multiprocessing of the framework.
"""
def _... | Proxima7/GrandPa | src/grandpa/multiprocessing_manager.py | multiprocessing_manager.py | py | 5,522 | python | en | code | 2 | github-code | 71 | [
{
"api_name": "queue.Queue",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "multiprocessing.cpu_count",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "threading.Threa... |
38967624438 | from PIL import Image, ImageFilter
import os
# Set maxsize of image(s)
maxsize = (100, 100)
# IMPORTS IMAGE THEN APPLIES GRAYSCALE AND SIZES IMAGE
def proccess_img():
infile = "Chelsey1.png"
f, e = os.path.splitext(infile)
outfile = f + ".png"
# If file is not the proper format then convert files
if infile !... | AlejandroJRosales/iPhoneCompatableProjects | Python/projectmcc/1-6-18.py | 1-6-18.py | py | 1,048 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "os.path.splitext",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image.open",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_nu... |
71521124390 | from __future__ import print_function
import sqlite3
import numpy as np
from os.path import join
from pandas import read_csv
from perfect_match.data_access.batch_augmentation import BatchAugmentation
class DataAccess(BatchAugmentation):
DB_FILE_NAME = "twins.db"
TABLE_PAIRS = "pairs"
GENDER_MALE = 0
... | d909b/perfect_match | perfect_match/data_access/twins/data_access.py | data_access.py | py | 12,315 | python | en | code | 112 | github-code | 71 | [
{
"api_name": "perfect_match.data_access.batch_augmentation.BatchAugmentation",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "sqlite3.connect",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 28,
"usage_type": "call"
}... |
10283237060 | # -*- coding: utf-8 -*-
"""
Abstract Dataset Loader
=======================
Defines the abstract class implementing support for dataset loading:
- :class:`colour_datasets.loaders.AbstractDatasetLoader`
"""
from __future__ import division, unicode_literals
from abc import ABCMeta, abstractmethod
from six import ad... | dwtian/colour-datasets | colour_datasets/loaders/abstract.py | abstract.py | py | 3,214 | python | en | code | null | github-code | 71 | [
{
"api_name": "abc.abstractmethod",
"line_number": 122,
"usage_type": "name"
},
{
"api_name": "six.add_metaclass",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "abc.ABCMeta",
"line_number": 26,
"usage_type": "argument"
}
] |
19756031621 | #coding=utf-8
# File : cut_wav.py
# Time : 2021/12/15 14:39:17
# Author : Jinghan Peng
# Desciption: 切割无效音频为小的chunk
import os, sys
from re import L
import wave
from pydub import AudioSegment
from pydub.utils import make_chunks
from tqdm import tqdm
from multiprocessing import Pool
import collecti... | NeoBryant/audio_tools | tsvad/cut_chunk_wav_noise.py | cut_chunk_wav_noise.py | py | 2,443 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "os.makedirs",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.makedirs",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 31,... |
19014301872 | import cv2
import numpy as np
import easyocr
import PIL.Image as pil_img
def Book_Image(Snap):
pic = pil_img.open(Snap)
img = np.array(pic).astype("uint8")
picture = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
image = cv2.rotate(picture, cv2.cv2.ROTATE_90_COUNTERCLOCKWISE)
reader = easyocr.Re... | rameshkumars12/BookShelf | Detect_Text.py | Detect_Text.py | py | 465 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "PIL.Image.open",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 1... |
14056354796 | import yaml
import pandas as pd
import numpy as np
def build_cpu_and_mem_distribution_dataframes(trace_df : pd.DataFrame,
col_flavor_cpu : str = 'vmcorecount', col_flavor_mem : str = 'vmmemory',
col_vm_created : str = 'vmcreated', col_vm_deleted : str = 'vmdelete... | jacquetpi/cloudfactory | analyserlib/distributionanalyzer.py | distributionanalyzer.py | py | 5,343 | python | en | code | 2 | github-code | 71 | [
{
"api_name": "pandas.DataFrame",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFrame",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "pandas.Da... |
15568341839 | import sqlite3
fname = input('Enter file name: ')
if(len(fname) < 1):
fname = 'mbox.txt'
fh = open(fname)
emailList = list()
dic = dict()
for line in fh:
if( line.startswith('From: ') ):
pieces = line.split()
email = pieces[1]
secPc = email.split('@')
orgN = secPc[1]
... | sunzid02/fun-with-python | database/assignment/assignment2.py | assignment2.py | py | 1,574 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "sqlite3.connect",
"line_number": 37,
"usage_type": "call"
}
] |
3434147452 | # -*- coding: utf-8 -*-
"""
Created on Thu Jul 13 23:46:18 2017
@author: Yangzj
"""
import requests
import re
import os
import time
#page = 1
i=0
user_agent = 'Mozilla/4.0 (compatible; MSIE 5.5; Windows NT)'
headers = { 'User-Agent' : user_agent }
def getHTML(url):
try:
r = re... | YZJ/python | dowpic/dowpic.py | dowpic.py | py | 1,400 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "requests.get",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "time.localtime",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_numbe... |
31622630368 | # @Time : 2022-09-20 21:09
# @Author : Phalange
# @File : 128. 最长连续序列.py
# @Software: PyCharm
# C'est la vie,enjoy it! :D
from typing import List
class Solution:
def __init__(self):
self.nodes = dict()
self.parents = dict()
self.sizeMap = dict()
def longestConsecutive(self, nums: Lis... | enternityFan/LeetCodePythonVersion | 哈希表/128. 最长连续序列.py | 128. 最长连续序列.py | py | 1,704 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "typing.List",
"line_number": 16,
"usage_type": "name"
}
] |
25232096991 | """Deep Residual Network with Stochastic Depth."""
import cPickle as pickle
import datetime as dt
import gzip
import lasagne as nn
import numpy as np
import sys
import theano
import theano.tensor as T
import time
from Deep_Residual_Learning_CIFAR10 import load_data
from Deep_Residual_Learning_CIFAR10 import iterate_mi... | mollymr305/stochastic-depth | stochastic_depth.py | stochastic_depth.py | py | 6,809 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "sys.setrecursionlimit",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "helpers.report",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "datetime.d... |
5748701276 | import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import plotly.graph_objs as go
import pandas as pd
df = pd.read_csv('./data/Stapleton.csv')
app = dash.Dash()
# https://dash.plot.ly/dash-core-components/dropdown
# We need to construct a d... | tytechortz/climate_project | practice_files/plot3.py | plot3.py | py | 1,463 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "dash.Dash",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "dash_html_components.Div",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "dash_html_component... |
24136532530 | from django.shortcuts import render
from django.http import JsonResponse
from firstApp.models import Employee
from rest_framework.permissions import IsAuthenticated
# Create your views here.
def employeeView(request):
emp = {
'id':123,
'name':'Pavan',
'sal': 100000
}
data = Employ... | pavan-suryawanshi/django_exercise | djangorest/firstProject/firstApp/views.py | views.py | py | 485 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "firstApp.models.Employee.objects.all",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "firstApp.models.Employee.objects",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "firstApp.models.Employee",
"line_number": 14,
"usage_type": "n... |
35622816479 | # -*- coding: utf-8 -*-
"""
Created on Thu Mar 31 17:35:22 2022
@author: Gabriel
"""
from osgeo import gdal
import numpy as np
import cv2
import tkinter as tk
from tkinter import filedialog
import os
root = tk.Tk()
img_new = filedialog.askopenfilename(filetypes=(("tif files","*.tif"),("All files",... | GabrielCampigoto/Classifcacao-e-modelagem-de-dados-geoespaciais | change.py | change.py | py | 1,516 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "tkinter.Tk",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog.askopenfilename",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "tkin... |
20087321344 | # * ---------------- *
#
# ** Deep Reinforcement Learning Nano Degree **
# project: Navigation
# author: Matthias Schinacher
#
# the script implements Q-learning with transitions- replay
# optionally using priority replay
#
# the model used for the Q- function approximation is a simple
# neural network w... | MatthiasSchinacher/MS_DRLND_Navigation | ms_drlndnav_pr.py | ms_drlndnav_pr.py | py | 19,540 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "sys.argv",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "os.path.path.isfile",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"l... |
41296249744 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
headers = {
'Connection': 'keep-alive',
'Accept': 'application/json, text/plain, */*',
'x-nba-stats-token': 'true',
'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3945.130 Safari/537.36'... | angelozorn/NBA-MVP-Machine-Learning-Regression-Model | NBA MVP Machine Learning Regression Model.py | NBA MVP Machine Learning Regression Model.py | py | 17,431 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "requests.get",
"line_number": 160,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 163,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 171,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
... |
8142537844 | import numpy as np
from sklearn.neighbors import NearestNeighbors
import numpy as np
def calc_SL(W,n_objs=3):
num = min(n_objs,len(W))
neigh = NearestNeighbors(num)
neigh.fit(W)
neighbors = neigh.kneighbors(W, num)[0].tolist()
SL = [np.prod(item[1:num]) for item in neighbors]
return SL
def d... | YUYUTA/MOEADpy | DeleteVector.py | DeleteVector.py | py | 2,590 | python | en | code | 3 | github-code | 71 | [
{
"api_name": "sklearn.neighbors.NearestNeighbors",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.prod",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.random.choice",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "nump... |
35418989888 | import numpy as np
import pytest
import torch
from tsbatteries import preprocessing
from tsbatteries.preprocessing.pipeline import (PipelineCompiler,
PipelineDataset)
from tsbatteries.tests.helpers import make_classification_problem
@pytest.fixture()
def static_pipelin... | jambo6/batteries | tsbatteries/tests/preprocessing/test_pipeline.py | test_pipeline.py | py | 2,324 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "tsbatteries.preprocessing.Pipeline",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tsbatteries.preprocessing",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "tsbatteries.preprocessing.NegativeFilter",
"line_number": 15,
"usage_type": ... |
2926054683 | import pytest
from sabnzbd.newsunpack import *
class TestNewsUnpack:
@pytest.mark.parametrize(
"test_input, expected_output",
[
(["cmd1", 9, "cmd3"], '"cmd1" "9" "cmd3"'), # sending all commands as valid string
(["", "cmd1", "5"], '"" "cmd1" "5"'), # sending blank string... | Per9/sabnzbd | tests/test_newsunpack.py | test_newsunpack.py | py | 1,050 | python | en | code | null | github-code | 71 | [
{
"api_name": "pytest.mark.parametrize",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 7,
"usage_type": "attribute"
}
] |
74662231268 | from typing import List
class Solution:
def maxArea(self, height: List[int]) -> int:
left=0
right = len(height)-1
max_area = 0
while left < right:
min_height = min(height[left], height[right])
area = (right - left) * min_height
max_area = max(area,... | XinchaoGou/MyLeetCode | 11. Container With Most Water.py | 11. Container With Most Water.py | py | 468 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "typing.List",
"line_number": 3,
"usage_type": "name"
}
] |
33389925579 | # sample 300 points from torus S1 x S1 and 100 points from circle S1 (belonging to the first S1)
# Compute distance among the points
import math
import numpy as np
import h5py
def angle_distance(phi, theta):
s = min(phi, theta)
l = max(phi, theta)
distance = min(l-s, s + 2 * math.pi - l)
return dista... | UDATG/analogous_bars | examples/data/torus_circle/generate_data.py | generate_data.py | py | 2,141 | python | en | code | 3 | github-code | 71 | [
{
"api_name": "math.pi",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.random.uniform",
"line_n... |
33528487295 | import datetime
import logging
import os
import sys
from datetime import date, timedelta
from os.path import exists
from pandas.tseries.offsets import *
import numpy as np
import pandas as pd
from numpy.core.arrayprint import _formatArray
from pandas._libs.tslibs import Timedelta, Timestamp
from bsbetl import g
from ... | t0rus1/bsbetl | bsbetl/calc_helpers.py | calc_helpers.py | py | 27,220 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pandas.DataFrame",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "bsbetl.g.OVERVIEW_STORE_FQ.format",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "bsbetl.g.OVERVIEW_STORE_FQ",
"line_number": 25,
"usage_type": "attribute"
},
... |
39389478309 | import pygame
pygame.font.init()
def mostrar_texto_centrado(screen,texto,center_x,center_y,color,fuente):
render = fuente.render(texto,True,color)
rect_text = render.get_rect(center = (center_x,center_y))
#rect_text_saludar.center = rect_saludar.center
screen.blit(render,rect_text)
def crear_boton(s... | Aabril01/mi-primer-jueguito-pygame | otros.py | otros.py | py | 749 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pygame.font.init",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "pygame.Rect",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "pygame.font.SysFont"... |
2594894170 | '''
Title : functions_file
Objective : Functions to process and transform TCGA data from https://portal.gdc.cancer.gov/ with R
Created by: Kevin Brinneman for UTSA Electrical & Computer Engineering
Created on: 2022-01-23
This script will recursively iterate over all folder to decompress GZ files.Once decompr... | kbrinn/Cancer-XGBoost-UTSA-2022 | TCGA_biomakers_feature_extraction/data_processing/data_processing_SQL/data_format_JSON.py | data_format_JSON.py | py | 4,622 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pathlib.Path",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "gzip.open",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "shutil.copyfileobj",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_nu... |
41226234340 | from django.conf.urls import patterns, include, url
from django.conf import settings
from django.contrib import admin
admin.autodiscover()
urlpatterns = patterns('',
url(r'^admin/', include(admin.site.urls)),
url(r'^', include('website.urls', namespace='website')),
url(r'^', include('registration.auth_urls... | gchandrasa/secondbook | secondbook/urls.py | urls.py | py | 750 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.patterns",
"line_number": 6,
"usage_type": "call"
},
{
"api... |
16968874191 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Aug 24 14:51:43 2023
@author: hafizzzh
"""
import json
import time
import calendar
import hashlib
import requests
import pandas as pd
import os
from dotenv import load_dotenv
load_dotenv()
df_ev = pd.DataFrame()
getLoop = True
url = "https://gateway.m... | hafizzzh/marvel-character-analysis | codes/scrap_events.py | scrap_events.py | py | 2,166 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "time.gmtime",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "calendar.timegm",
... |
18029786171 | from django.db.models import Sum, F, Case, When
from rest_framework import serializers
from .models import StockTransaction
from users.serializers import UserSerializer
from stocks.serializers import StockSerializer
class StockTransactionsSerializer(serializers.ModelSerializer):
user = UserSerializer(read_only=T... | qhqnf/asset-dashboard | transactions/serializers.py | serializers.py | py | 2,313 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "users.serializers.UserSerializer",
"line_number": 10,
"usage_typ... |
37041127044 | import numpy as np
from utils import *
from sklearn.ensemble import RandomForestClassifier
def cv_train_rfcls(x,y,n_estimators,min_samples_leaf,max_feature,num_cross=10):
cross_train_x, cross_train_y, cross_valid_x, cross_valid_y = cross_validation(x,y,num_cross)
num_cross = len(cross_train_x)
max_score = ... | USTBwanghao/TIGsPred | new_tigs/rfcls.py | rfcls.py | py | 1,871 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "sklearn.ensemble.RandomForestClassifier",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sklearn.ensemble.RandomForestClassifier",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 37,
"usage_type": "call"
},... |
15148153079 | """ Bayesian Determinisitc Policy Gradient evaluated on th
didactic "chain" environment
"""
import tensorflow as tf
from gym import Wrapper
from tensorflow.python.layers.utils import smart_cond
from tensorflow.python.ops.variable_scope import get_local_variable
import chi
from chi import Experiment
from chi import ex... | jhebmann/plow-7 | chi/examples/experimental/bdpg_chains2.py | bdpg_chains2.py | py | 3,857 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "chi.Experiment",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "gym.make",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "gym.Env",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "chi.set_loglevel",
"line_num... |
15204462847 | """ Class holding data of one or more features
"""
from logging import warning
from typing import List, Tuple, Union
import xarray as xa
import pandas as pd
import numpy as np
import numpy.typing as npt
from proteolizarddata.data import PyTimsDataHandleDDA
from proteolizardalgo.feature_loader_dda import FeatureLoaderDD... | TimOliverMaier/pystoms | src/pystoms/aligned_feature_data.py | aligned_feature_data.py | py | 4,544 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "numpy.typing.NDArray",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "numpy.typing",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "numpy.float64",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "numpy.typin... |
1559572423 | import json
from django.contrib import messages
from django.shortcuts import get_object_or_404, redirect
from django.urls import reverse_lazy
from .models import Confirmation, PendingConfirmation
from core.views import SearchAndMenuCreateView
class ConfirmationCreateView(SearchAndMenuCreateView):
model = Confir... | dreadkopp/activejob_bootstrap | activejob/activejob/datenweitergabe/views.py | views.py | py | 1,238 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "core.views.SearchAndMenuCreateView",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "models.Confirmation",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "django.urls.reverse_lazy",
"line_number": 14,
"usage_type": "call"
},
{
"a... |
6946117297 | import dash
import dash_bootstrap_components as dbc
from dash import Input, Output, State, dcc, html, Dash, callback
dash.register_page(__name__, path="/nosotros")
style = {"padding": "1rem 1rem"}
layout = html.Div([
html.H2("Team 181"),
html.Hr(),
html.H4("We're so cool, give us prize!")
], style=style) | santiagotirado/DS4A-app | pages/nosotros.py | nosotros.py | py | 320 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "dash.register_page",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "dash.html.Div",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "dash.html",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "dash.html.H2",
"line_numb... |
71264500071 | import unittest, pytest
from utils import Utils
from pathlib import Path
import os
import shutil
import nltk
nltk.download('wordnet')
from nltk.corpus import wordnet as wn
class TestUtils(unittest.TestCase):
maxDiff = None
# == TEST GET RANDOM WORD == #
def test_get_random_word_returns_a_string_found_in... | CZboop/X-is-to-Y-API | tests/test_utils.py | test_utils.py | py | 7,013 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "nltk.download",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "utils.Utils",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.wordnet.w... |
15568433296 | #!/bin/python3
import os
import argparse
import torch
import sys
def add_padding_to_image(img, padding_width: int):
# Array of zeros of shape (img + padding_width)
img_with_padding = torch.zeros((
img.shape[0] + padding_width * 2, # Multiply with two because we need padding on all sides
img.... | ahmad-mirsalari/TransLib | mixed_precision/convolutioncl/data_generator.py | data_generator.py | py | 12,697 | python | en | code | 2 | github-code | 71 | [
{
"api_name": "torch.zeros",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.zeros",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "torch.float16",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "torch.float16",
"line_... |
41174497657 | # This is a brute force approach exploiting all the permutations
# Which still runs in sufficiently short time.
# For a more sophisticated approach: https://blog.dreamshire.com/project-euler-68-solution/
import itertools
gon_dimension = 5
numbers = range(1, gon_dimension * 2 + 1)
solutions = []
for outside_numbers i... | JakobTimmermann/coding_challenges | project_euler/p68-magic_5-gon_ring/main.py | main.py | py | 1,493 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "itertools.combinations",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "itertools.permutations",
"line_number": 12,
"usage_type": "call"
}
] |
6009362463 | import pytest
from ephios.core.models import Qualification, QualificationCategory, QualificationGrant
from ephios.plugins.qualification_management.importing import (
DeserializedQualification,
QualificationChangeManager,
)
SANH_UUID = "b1faab38-2e7c-4507-b753-06d1e653412d"
NOTSAN_UUID = "d114125b-7cf4-49e2-89... | ephios-dev/ephios | tests/plugins/qualification_management/conftest.py | conftest.py | py | 2,579 | python | en | code | 20 | github-code | 71 | [
{
"api_name": "ephios.plugins.qualification_management.importing.DeserializedQualification",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "ephios.plugins.qualification_management.importing.DeserializedQualification",
"line_number": 28,
"usage_type": "call"
},
{
"api_n... |
27261333454 | from tensorflow.keras.models import Sequential, load_model as keras_load_model
from tensorflow.keras.layers import Dense, Activation, Dropout, Flatten, Conv2D, MaxPooling2D, BatchNormalization
from tensorflow.keras.optimizers import Adam, SGD
from tensorflow.keras.metrics import categorical_crossentropy
from tensorflow... | AngeloAlgarne/thesis-datasci04-ay2022-appendices | source-code/modules/m3_classification.py | m3_classification.py | py | 21,753 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "modules.utils.get_project_name",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "modules.utils.model_metadata",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 121,
"usage_type": "call"
},
{
"api_na... |
33238430160 | import pygame
import random
pygame.init()
BLACK = (0, 0, 0)
WHITE = (255, 255, 255)
BLUE = (0, 0, 255)
GREEN = (0, 255, 0)
RED = (255, 0, 0)
ORANGE = (255,165,0)
PI = 3.141592653
size = (400, 500)
screen = pygame.display.set_mode(size)
pygame.display.set_caption("MC Birdie spil")
done= False
clock = pygame.time.Cl... | AlberteJeberg/codes | MCBirdiespil.py | MCBirdiespil.py | py | 2,063 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pygame.init",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pygame.display... |
9703477593 | from django.conf.urls import url,include
from django.contrib import admin
from blog import views
urlpatterns = [
url(r'^$',views.index),#기존에 프로젝트 단에서 설정할 수 있는 경로를 앱마다 따로 url 파일을 생성해 경로를 설정할 수 있음
url(r'^posts/$','blog.views.post_list'),
url(r'^posts/(?P<pk>\d+)/$','blog.views.post_detail'),
url(... | WoongJKIM/askdjango | blog/urls.py | urls.py | py | 571 | python | ko | code | 0 | github-code | 71 | [
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "blog.views.index",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "blog.views",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.u... |
19288068545 | from collections import namedtuple
from pathlib import Path
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import pytest
from mne import Epochs, compute_proj_evoked, read_cov, read_events
from mne.channels import read_layout
from mne.io import read_raw_fif
from mne.time_frequency.tfr import Aver... | mne-tools/mne-python | mne/viz/tests/test_topo.py | test_topo.py | py | 12,900 | python | en | code | 2,405 | github-code | 71 | [
{
"api_name": "pathlib.Path",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "mne.channels.read_layout",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "mne.read_events",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "mne.io.read_raw... |
17642060240 | import time
from urllib.parse import urlparse
import requests
import json
import backoff
def get_my_friend_list(user_id, params):
# get list of friends of the incoming user
response_my_friends_list = []
params['user_id'] = user_id
response = requests.get(
'https://api.vk.com/method... | Estafius/diplom | api.py | api.py | py | 3,777 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "backoff.on_exception",
"line... |
8078034148 |
from flask import Flask
import smtplib
from email.mime.image import MIMEImage
from email.mime.multipart import MIMEMultipart
from email.mime.base import MIMEBase
from email.mime.text import MIMEText
from email import encoders
import os
gmail_user = "architechsdoom@gmail.com"
gmail_pwd = raw_input('pwd > ')
app = F... | sefffal/cisc-325-server | __main__.py | __main__.py | py | 1,425 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "flask.Flask",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "email.mime.multipart.MIMEMultipart",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "email.mime.text.MIMEText",
"line_number": 44,
"usage_type": "call"
},
{
"api_name"... |
8795761210 | import os
from datetime import datetime, timedelta
from airflow import DAG
from airflow.contrib.hooks.aws_hook import AwsHook
from airflow.models import Variable
from airflow.operators.dummy_operator import DummyOperator
from airflow.hooks.postgres_hook import PostgresHook
from airflow.operators.postgres_operator impor... | juliaobenauer/Data-Pipelines-with-Airflow | airflow/dags/udac_example_dag.py | udac_example_dag.py | py | 3,625 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "datetime.datetime.now",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "datetime.timedelta",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "airflow.DA... |
24796502597 | # m3.py
# Drawings based on petentiometer input using a mcp3008 chip
# 2014-05-16 PV
import pygame
import math
import spidev
# Function to read SPI data from MCP3008 chip
# Channel must be an integer 0-7
def ReadChannel(channel):
adc = spi.xfer2([1, (8+channel)<<4, 0])
data = ((adc[1]&3) << 8) + adc[2]
return ... | FrenchBear/RPiExtra | mcp3008/m3.py | m3.py | py | 2,668 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pygame.draw.rect",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pygame.draw",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "pygame.Color",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pygame.draw.arc",
... |
73731495911 | import random
import time
import selenium.common.exceptions
from .. import utils
from .. import references
from typing import *
from selenium.webdriver.common.by import By
import pyderman
def ensure_chromedriver():
pyderman.install(pyderman.chrome, file_directory=".", filename="chromedriver.exe")
def void(*args... | J0J0HA/wwshc | wwshc/utils/extra.py | extra.py | py | 4,256 | python | en | code | 3 | github-code | 71 | [
{
"api_name": "pyderman.install",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pyderman.chrome",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "time.sleep",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "random.random",
... |
9729780322 | from rest_framework import serializers
from media.models import (Article, ArticleFile, Comment, Question, Section)
from orgstructure.serializers import UserProfileSerializer
class CommentSerializer(serializers.ModelSerializer):
author = UserProfileSerializer()
class Meta:
model = Comment
field... | Ewald-Studio/recenter-backend | media/serializers.py | serializers.py | py | 2,061 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "orgstructure.serializers.UserProfileSerializer",
"line_number": 6,
... |
38748862699 | # Author: Chien-Wei Lin
from sklearn.tree import DecisionTreeClassifier
from sklearn import preprocessing
import numpy as np
from numpy import argmax
import os, sys, string
unk = 'unk'
out_file = 'SBD.test.out'
class Feature:
def __init__(self, dataset):
self.formDictionary(dataset)
def formDictionary(self, data... | wayne1199111810/NLP | sentence_boundary_detection/SBD.py | SBD.py | py | 4,816 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "sklearn.preprocessing.LabelEncoder",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "sklearn.preprocessing.OneHotEncoder",
"line_number": 35,
"usage_type": "call"
... |
36297301698 | from ai.minimax import AI, possible_actions
from utils.utils import starting_array
def print_board(move, array):
print(f'board #{move} is:')
for i in range(8):
for j in range(8):
print(array[i][j] if array[i][j] is not None else '-', end=', ' if j + 1 < 8 else '\n')
def compare_ai(bob: A... | NNargesNN/Othello-Game | othello-master/genetic/ai_vs_ai.py | ai_vs_ai.py | py | 1,247 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "ai.minimax.AI",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "utils.utils.starting_array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "ai.minimax.possible_actions",
"line_number": 17,
"usage_type": "call"
}
] |
28371248880 | from itertools import combinations
n, c = map(int,input().split())
array = []
for i in range(n):
array.append(int(input()))
array.sort()
data = list(combinations(array,c))
count = []
max_d = 0
for k in data:
for i in range(c-1):
for j in range(i+1,c):
count.append(k[j]-k[i])
max_d = max(max_d, min(co... | jacey-h/Programming-language | Python_code/BinarySearch/P29_공유기설치.py | P29_공유기설치.py | py | 804 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "itertools.combinations",
"line_number": 8,
"usage_type": "call"
}
] |
8288768837 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import numpy as np, scipy as sp, scipy.stats as stats
from scipy.optimize import minimize
from scipy.stats import multivariate_normal
from numpy import exp, log, sqrt
from scipy.misc import logsumexp
import distributions as dist
from scipy.spatial.distance import squ... | AnonymousPaperCode/Kernel_conditional_density_operators | rkhsop/kern/base.py | base.py | py | 11,176 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "scipy.spatial.distance.pdist",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.median",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.apply_along_axis",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "nump... |
16264102354 |
import json
import time
import sys
import cv2
import numpy as np
from math import atan, tan, sin
from cscore import CameraServer, VideoSource, UsbCamera, MjpegServer
from networktables import NetworkTablesInstance, NetworkTables
class CameraConfig: pass
team = None
server = False
cameraConfigs = []
switchedCam... | mooky12345/detect-color-ball | Camera_colored_ball_detect.py | Camera_colored_ball_detect.py | py | 7,561 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "cscore.CameraServer.getInstance",
"line_number": 125,
"usage_type": "call"
},
{
"api_name": "cscore.CameraServer",
"line_number": 125,
"usage_type": "name"
},
{
"api_name": "cscore.UsbCamera",
"line_number": 126,
"usage_type": "call"
},
{
"api_name"... |
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