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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
14438218202 | import psycopg2
update_sql = "UPDATE test SET data = %s WHERE num = %s"
conn = None
try:
# connect to the PostgreSQL database
conn = psycopg2.connect(
dbname='spacedys',
host='localhost',
user='spacedys',
password='password')
# create a new cursor
cur = conn.cursor()
... | nicolacammillini/spacedys | docs/demos/db/update-pg.py | update-pg.py | py | 694 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "psycopg2.connect",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "psycopg2.DatabaseError",
"line_number": 24,
"usage_type": "attribute"
}
] |
15872415911 | import torch
import numpy as np
from falkon import Falkon
from falkon.kernels import GaussianKernel
from falkon.options import FalkonOptions
from falkonhep.models import HEPModel
class FalkonHEPModel(HEPModel):
def create_labels(self, ref_size, data_size):
ref_labels = np.zeros(ref_size, dtype=np.floa... | FalkonHEP/falkonhep | falkonhep/models/flkhep_model.py | flkhep_model.py | py | 1,858 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "falkonhep.models.HEPModel",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "numpy.zeros",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.float64",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "numpy.ones",... |
24969027415 | from typing import List
class Solution:
def dailyTemperatures(self, temperatures: List[int]) -> List[int]:
ans = [0] * len(temperatures)
stack = []
for i, v in enumerate(temperatures):
while stack and stack[-1][1] < v:
index, value = stack.pop()
... | inverseTrig/leet_code | 739_daily_temperatures.py | 739_daily_temperatures.py | py | 530 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
}
] |
34212066405 | # https://www.acmicpc.net/problem/14502
# solution
# 1) ์์๋ก 3๊ฐ์ ๋ฒฝ์ ์ธ์ด๋ค(dfs)
# 2) ๋ฐ์ด๋ฌ์ค๋ฅผ ํผ๋จ๋ฆฐ๋ค(bfs)
# 3) ์์ ๊ตฌ์ญ์ ํฌ๊ธฐ๋ฅผ ๊ตฌํด์ ์ต๋๊ฐ์ ๊ฐฑ์ ํ๋ค
# 4) 1)๋ก ๋์๊ฐ ๋ชจ๋ ๊ฒฝ์ฐ์ ๋ํด ๋ฐ๋ณตํ๋ค
# 5) ์์ ๊ตฌ์ญ ํฌ๊ธฐ์ ์ต๋๊ฐ์ ์ถ๋ ฅํ๋ค
# TIL
# 2์ฐจ์ ๋ฐฐ์ด์์ ๊ฐ๋ฅํ ๋ชจ๋ ์กฐํฉ์ ์ฌ๊ท์ ์ผ๋ก ํ์ํ๋ ์ฝ๋( line:60~66 )
## -> ๋ชซ(i//m)๊ณผ ๋๋จธ์ง(i%m)๋ฅผ ์ด์ฉํ ํ์๊ณผ ์ฌ๊ทํจ์ ๋ด์ ๋ฐ๋ณต๋ฌธ ์๋ ํํ
import copy
from collections i... | chankoo/problem-solving | graph/14502-์ฐ๊ตฌ์.py | 14502-์ฐ๊ตฌ์.py | py | 2,358 | python | ko | code | 1 | github-code | 36 | [
{
"api_name": "collections.deque",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 53,
"usage_type": "call"
}
] |
22377349542 | import pandas as pd
import matplotlib.pyplot as plt
import os # file muveletek
import datetime
from datetime import date
import time
import copy
import numpy as np
class nHop:
time_stamp = ''
next_hop = ''
count = 0
per8 = 0
adv_range = 0
def __init__(self):
self.time_stamp = ''
self.next_hop = ''
self.... | Tomikaze/IP-stats-trends | venv/nexthop.py | nexthop.py | py | 2,796 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime.now",
"line_number": 91,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 91,
"usage_type": "attribute"
},
{
"api_name": "os.walk",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "datetime.datetim... |
264212609 | """
https://portswigger.net/web-security/cross-site-scripting/contexts/lab-onclick-event-angle-brackets-double-quotes-html-encoded-single-quotes-backslash-escaped
"""
import sys
import requests
from bs4 import BeautifulSoup
site = sys.argv[1]
if 'https://' in site:
site = site.rstrip('/').lstrip('https://')
s = ... | brandonaltermatt/penetration-testing-scripts | cross-site-scripting/contexts/onclick-event-angle-brackets-double-quotes-html-encoded-single-quotes-backslash-escaped.py | onclick-event-angle-brackets-double-quotes-html-encoded-single-quotes-backslash-escaped.py | py | 1,149 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "requests.Session",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 18,
"usage_type": "call"
}
] |
71205780264 | from setuptools import setup, find_packages
from apache_spark import __version__
tests_require = [
'mock',
'nose',
'coverage',
'yanc',
'preggy',
'tox',
'ipdb',
'coveralls',
'sphinx',
]
setup(
name='apache_spark',
version=__version__,
description='Computational tools for... | yosoyubik/ApacheSpark_02817 | setup.py | setup.py | py | 1,598 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "setuptools.setup",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "apache_spark.__version__",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "setuptools.find_packages",
"line_number": 39,
"usage_type": "call"
}
] |
74134918182 | from cmath import nan
import re
from types import NoneType
from django.shortcuts import render, redirect
from django.http import JsonResponse
from mensajeria.models import (
Archivos,
Destinatarios,
Personas,
Maestras,
Peticion,
Paises,
Areas,
Secciones,
Grupos
)
from mensajeria.form... | YilberthAndres/masivo | mensajeria/views/carga/carga_distribucion.py | carga_distribucion.py | py | 16,140 | python | es | code | 0 | github-code | 36 | [
{
"api_name": "rest_framework.generics.CreateAPIView",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "mixins.base.ResponseMixin",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "serializers.auth.signup_serializers.SignupSerializers",
"line_number": 41,
... |
20078510579 | from flask import Blueprint, render_template, url_for, request, send_from_directory
from flask_login import login_required, current_user
from werkzeug.utils import redirect
from crm import db
from ..utils.images_handler import save_image_uploads, get_image_list, load_image_uploads, delete_images
from .forms import Ne... | tomasz-rzesikowski/crm | crm/note/views.py | views.py | py | 2,354 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Blueprint",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "utils.images_handler.load_image_uploads",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "models.Note.get_all_with_users",
"line_number": 22,
"usage_type": "call"
},
{... |
1938554685 | import sys
from typing import List
from kclvm.tools.lint.reporters.base_reporter import BaseReporter
from kclvm.tools.lint.message.message import Message
class FileReporter(BaseReporter):
def __init__(self, linter, output=None, encoding=None):
self.name = "file_reporter"
self.output_file = linter... | kcl-lang/kcl-py | kclvm/tools/lint/reporters/file_reporter.py | file_reporter.py | py | 968 | python | en | code | 8 | github-code | 36 | [
{
"api_name": "kclvm.tools.lint.reporters.base_reporter.BaseReporter",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "kclvm.tools.lint.message.message.Message",
"line_number": 14,
"usage_typ... |
73421284263 |
import tensorflow as tf
import keras as K
from keras import callbacks, optimizers
from keras import backend as KB
from keras.engine import Layer
from keras.layers import Activation
from keras.layers import LeakyReLU, Dense, Input, Embedding, Dropout, Reshape, Concatenate, MaxPooling1D, Flatten
from keras.layers impor... | Chucooleg/CapsNet_for_NER | code/buildCapsModel.py | buildCapsModel.py | py | 12,144 | python | en | code | 10 | github-code | 36 | [
{
"api_name": "keras.layers.Input",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "keras.layers.Input",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "keras.layers.Input",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "keras.layers... |
30753498437 | from __future__ import absolute_import, division, print_function, unicode_literals
import os
import tensorflow as tf
from tensorflow.keras import datasets, layers, models
import matplotlib.pyplot as plt
CHECKPOINT_PATH = "model/lab2.h5"
def main():
(train_images, train_labels), (test_images,
... | sontuphan/deep-learning-labs | labs/lab2.py | lab2.py | py | 1,755 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "tensorflow.keras.datasets.cifar10.load_data",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.datasets.cifar10",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras.datasets",
"line_number": 14,
"usage_... |
18262811618 | import requests
import json
import os
import pyperclip
from wox import Wox,WoxAPI
class Main(Wox):
def query(self,key):
results=[]
key=key.split(' ')
servers={
'1':"LuXingNiao",'2':"MoGuLi",'3':"MaoXiaoPang",
}
worlds={
'HongYuHai':"็บข็ๆตท",
... | ShiomiyaRinne/FFXIV-Market-Query | main.py | main.py | py | 3,542 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "wox.Wox",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "os.path.exists",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": ... |
9262633989 | from tts_websocketserver.tts_pipeline import get_pipeline
from rgws.interface import WebsocketServer
import json, asyncio
class TTSPipelineManager:
def __init__(self):
self.state = "Setup"
self.pipeline = get_pipeline()
self.pipeline.build()
self.state = "Ready"
as... | TheSoundOfAIOSR/rg_text_to_sound | tts_websocketserver/src/tts_websocketserver/tts_server.py | tts_server.py | py | 1,659 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "tts_websocketserver.tts_pipeline.get_pipeline",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "rgws.interface.WebsocketServer",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "asyncio.get_event_loop",
"line_number": 54,
"usage_type": "ca... |
34316494896 | '''
Created on Mar 6, 2014
@author: kerem
'''
from random import randint
from random import random as rnd
class InteractionBox(object):
center = None
width = None
height = None
depth = None
is_valid = None
def __init__(self):
pass
def set(self, box):
self.center = box.cen... | keryil/leaparticulatorqt | leaparticulator/data/frame.py | frame.py | py | 4,847 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "random.random",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_n... |
12575982154 | from distutils.log import INFO
from multiprocessing.sharedctypes import Value
from dash import Dash, html, dcc, Input, Output, State, dash_table
import dash
import dash_bootstrap_components as dbc
import LoraLogger
import pandas as pd
import json
import plotly.io as pio
pio.templates.default = "plotly_dark"
logger = ... | adrwong/FAI | app.py | app.py | py | 10,096 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "plotly.io.templates",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "plotly.io",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "LoraLogger.logger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "distutils.log.IN... |
11695978241 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#ย @Timeย ย ย : 2020/3/27 16:43
#ย @Authorย : TanLHHH
#ย @Siteย ย ย :
#ย @Fileย ย ย : tieba.py
#ย @Software: PyCharm
import requests,re
url = "https://tieba.baidu.com/f?kw=%E6%96%B0%E5%9E%8B%E5%86%A0%E7%8A%B6%E7%97%85%E6%AF%92&ie=utf-8&pn=0"
headers = {
"User-Agent": "Mozilla/... | TanLHHHH/Spiders | ๆต่ฏๆไปถๅคน/tieba.py | tieba.py | py | 1,112 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "re.S",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "re.compile",
"line_number": 30,... |
37071867440 | from flask import Flask,render_template,redirect,url_for
from flask_bootstrap import Bootstrap
from detail_collector import DetailCollector
app = Flask(__name__)
app.config['Secret_KEY'] = '83hs293C0926jcw2FJ893Bd3E'
Bootstrap(app)
detail = DetailCollector()
@app.route("/")
@app.route("/home")
def home():
retu... | Amari-17/portfolio | app.py | app.py | py | 370 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask_bootstrap.Bootstrap",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "detail_collector.DetailCollector",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "... |
14086957906 | import json
import networkx as nx
import matplotlib.pyplot as plt
def get_topology(edges):
g = nx.Graph()
l3edges_json = json.loads(edges.to_json(orient="index"))
for k in l3edges_json:
neighbor = l3edges_json[k]
node_id = neighbor["Interface"]["hostname"]
remote_node_id = neighb... | martimy/Bat-Q | pages/common/plotting.py | plotting.py | py | 756 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "networkx.Graph",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "networkx.spring_layout",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.sub... |
34353676149 | import requests
from bs4 import BeautifulSoup
from time import sleep
import json
from sqlalchemy import create_engine,Column,Integer,String,ForeignKey,table, column, select, update, insert
from sqlalchemy.ext.declarative import declarative_base
from urlparse import urlparse
from sqlalchemy.orm import sessionmaker
from ... | VladislavSpassov/HackBulgariaTasks | Week13/CrawnBGWebsites.py | CrawnBGWebsites.py | py | 3,072 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 17,
"usage_type": "call"
},
{
"api_na... |
14263045240 | from django.contrib import admin
from django.contrib.auth.admin import UserAdmin
from .models import Account, UserProfile, RefundRequests, FavoriteItem, Preferences
# Register your models here.
class AccountAdmin(UserAdmin):
list_display = ('email', 'first_name', 'last_name', 'username', 'phone_number', 'last_lo... | jeffjcb/southcartel-app | southcartel/accounts/admin.py | admin.py | py | 1,150 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "django.contrib.auth.admin.UserAdmin",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 16,
"usage_type": "name"
... |
74978102183 | import os
import random
from captcha import image
import numpy as np
import PIL.Image as PILImage
import cv2
import shutil
def create_train_dataset(output_dir: str, width: float, height: float, captcha_count=4, count=2000):
if not os.path.exists(output_dir):
os.mkdir(output_dir)
number_sets = lambda o... | SquarePants1991/LearnTensorFlow | ้ช่ฏ็ ่ฏๅซ/dataset_util.py | dataset_util.py | py | 1,701 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.exists",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "random.randrange",
"line_num... |
28225180956 | from typing import List
import unittest
class Solution:
def carFleet(self, target: int, position: List[int], speed: List[int]) -> int:
records = [
(pos, spd) for pos, spd in zip(position, speed)
]
records.sort(key=lambda x: x[0])
for i in rang... | HomayoonAlimohammadi/Training | Leetcode/853_CarFleet.py | 853_CarFleet.py | py | 1,349 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "unittest.TestCase",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "unittest.main",
"line_number": 56,
"usage_type": "call"
}
] |
5032205330 | import os
import sys
import numpy as np
import matplotlib.pyplot as plt
import getdist
#from getdist import plots, MCSamples
sys.path.append(
"{}/utils".format(os.environ["GitHub"])
)
import list_utils as list_utils
import directory_utils as directory_utils
# NOTE: A LOT NEED TO CHANGE HERE ...
# TODO: The sampl... | Sketos/utils | autolens_utils/autolens_directory_utils.py | autolens_directory_utils.py | py | 5,540 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.walk",
"line_number... |
32901525311 | import csv
import itertools
import os.path
import sys
if __name__ == "__main__":
#Create ontology dictionary from MEGARes ontology file
#megares_ontology = {}
#ontology_filename = "/home/noyes046/jsettle/argmobrich/MEGARESONTOLOGY.tsv"
#with open(ontology_filename, 'r') as ontology_tsv:
#ontolo... | settj/argmobrich_analysis | colocalization/gen_overlap.py | gen_overlap.py | py | 2,748 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.argv",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "csv.reader",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "os.path.path.splitext",
... |
24390093684 | import argparse
import os
import re
import subprocess
from . import tool
from .common import check_which, Command, guess_command, make_command_converter
from .. import log, options as opts, shell
from ..exceptions import PackageResolutionError, PackageVersionError
from ..file_types import Directory, HeaderDirectory
fr... | jimporter/bfg9000 | bfg9000/tools/pkg_config.py | pkg_config.py | py | 10,628 | python | en | code | 73 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "common.make_command_converter",
"line_number": 24,
"usage_type": "call"
},
{
"api... |
39804054613 |
import os
from django.urls import resolve, reverse
from django.shortcuts import redirect
from django.http import HttpResponseForbidden
from internal_users.models import InternalUser
from firebase_auth_app.models import FirebaseUser
from customer_users.models import CustomerUser
class InternalUserMiddleware:
# De... | zjgcainiao/new_place_at_76 | internal_users/middlewares.py | middlewares.py | py | 3,585 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.urls.reverse",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "django.urls.reverse",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "django.urls.resolve",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "internal_... |
6674627865 | import torch
from dace.transformation import transformation
from dace.properties import make_properties
from dace.sdfg.utils import node_path_graph
from dace import nodes, SDFG, SDFGState, registry, Memlet
from typing import Dict, Union
from daceml import onnx as donnx
from daceml.transformation.constant_folding impor... | spcl/daceml | daceml/transformation/pad_conv_fusion.py | pad_conv_fusion.py | py | 3,630 | python | en | code | 69 | github-code | 36 | [
{
"api_name": "dace.transformation.transformation.SingleStateTransformation",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "dace.transformation.transformation",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "dace.transformation.transformation.PatternNo... |
26648319096 | import os
import sys
from glob import glob
from json2mongo import WriteToDataBase
import argparse
import configparser
filename = "last_run_context_numbers.txt"
# argument to be provided to the process manager
parser = argparse.ArgumentParser( description="process manager" )
# need this to read the ini file
config = co... | ShanJ35/XOM_master | backend/write_json_to_db.py | write_json_to_db.py | py | 6,424 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.path.... |
4828550972 | from concurrent.futures import process
from matplotlib.pyplot import cla
import numpy as np, pandas as pd
import re
from scipy import rand
dataset = pd.read_csv("../../resources/Part 7 - Natural Language Processing/Section 36 - Natural Language Processing/Python/Restaurant_Reviews.tsv",delimiter="\t", quoting=3)
## ... | ManishLapasi/MLstuff | models/NLP/nlpselect.py | nlpselect.py | py | 4,084 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sklearn.naive_bayes.GaussianNB",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_m... |
14029268104 | import typing
import discord
from discord.ext import commands
from .general import is_staff, free_category, free_category_create
class FreeCategory(commands.Cog):
__slots__ = ('client', 'name', 'staff',)
permissions_jp = {
# 'create_instant_invite': 'ๆๅพ
ใไฝๆ',
'manage_channels': 'ใใฃใณใใซใฎ็ฎก็',
... | Kesigomon/Skyline_py | cogs/freecategory.py | freecategory.py | py | 13,622 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "discord.ext.commands.Bot",
"line_number": 38,
"usage_type": "attribute"
},
{
"ap... |
37716628062 | # Module Imports
import mariadb
import sys
import socket
import threading
import time
# Connect to MariaDB Platform
try:
db = mariadb.connect(
user="user",
password="password",
host="mariadb",
port=3306,
database="info801"
)
except mariadb.Error as e:
print(f"Error ... | visarsylejmani/architecture-logicielle-info801 | server/server.py | server.py | py | 3,523 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "mariadb.connect",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "mariadb.Error",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "socket.gethostbyname",
... |
5668667396 | from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
from matplotlib.offsetbox import OffsetImage, AnnotationBbox
from PIL import Image as pil_image
from mosaic impor... | joshloyal/Mosaic | mosaic/histogram.py | histogram.py | py | 5,809 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.histogram",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "PIL.Image.new",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 57,
"usage_type": "name"
},
{
"api_name": "numpy.where",
"line_numbe... |
71798506343 | #!/usr/bin/python
# python images_for_deep_learning_sv02_create_non_white_space_mapping_file.py -i input_bed -o output_mapping_file
# python images_for_deep_learning_sv02_create_non_white_space_mapping_file.py -i non_white_out_all_mgrb_and_isks.txt -o non_white_out_all_mgrb_and_isks_map_350x350.txt
# Sort input bed fi... | emmamrath/gene_annotation_of_structural_variants | create_images_for_deep_learning/images_for_deep_learning_sv02_create_non_white_space_mapping_file.py | images_for_deep_learning_sv02_create_non_white_space_mapping_file.py | py | 6,428 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "math.ceil",
"line_number": 116,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 148,
"usage_type": "call"
}
] |
10179826987 | #!/usr/bin/python3
"""
Number of subscribers(not active users,total subscribers) for a given subreddit
"""
import requests
def number_of_subscribers(subreddit):
"""
Number of subscribers for a given subreddit from the Reddit API
"""
if subreddit is None or not isinstance(subreddit, str):
ret... | jamesAlhassan/alx-system_engineering-devops | 0x16-api_advanced/0-subs.py | 0-subs.py | py | 646 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
}
] |
36839090820 | import moviepy.editor as me
import numpy as np
from bm_analyze import *
import time
t=open('!r_data.txt')
M=t.read().split('\n')
t.close()
del t
M[0]='[empty]'
start=36000
end=37000
speed=16
time.sleep(120)
render=me.VideoClip(lambda t:np.zeros([1080,1920,3]),duration=(end-start)/speed)#+3*(q+1==k))
clips=[render]
prin... | dr2xmillion371/stuff | matrix.py | matrix.py | py | 1,876 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "time.sleep",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "moviepy.editor.VideoClip",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "moviepy.editor",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "numpy.zeros",
... |
23536887489 | import numpy as np
from collections import deque
import gymnasium as gym
from stable_baselines3.common.atari_wrappers import (
ClipRewardEnv,
EpisodicLifeEnv,
FireResetEnv,
MaxAndSkipEnv,
NoopResetEnv,
)
class Agent:
def __init__(self, eval_env):
self.eval_env = eval_env
def eval... | ZangZehua/rlatari | utils/random_atari.py | random_atari.py | py | 2,894 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "numpy.array",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"lin... |
5198901937 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from datetime import datetime
import unittest
import yalix.repl as repl
import yalix.utils as utils
def send_inputs(*args):
# count always starts from 1
def invoke(count):
try:
cmd = args[count - 1]
if isinstance(cmd, str):
... | rm-hull/yalix | python/tests/repl_test.py | repl_test.py | py | 1,934 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "unittest.TestCase",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "yalix.repl.license",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "yalix.repl",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "datetime.datetim... |
495434407 | from __future__ import print_function
import os
import string
import mock
import pytest
from click import UsageError
from click.testing import CliRunner
from dagster import (
DagsterInvariantViolationError,
PartitionSetDefinition,
RepositoryDefinition,
ScheduleDefinition,
lambda_solid,
pipeli... | helloworld/continuous-dagster | deploy/dagster_modules/dagster/dagster_tests/cli_tests/test_cli_commands.py | test_cli_commands.py | py | 31,036 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "dagster.lambda_solid",
"line_number": 61,
"usage_type": "name"
},
{
"api_name": "dagster.lambda_solid",
"line_number": 66,
"usage_type": "name"
},
{
"api_name": "dagster.pipeline",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "dagster.pi... |
13419956267 | import pygame,sys
from Room import Room,Overworld
class Game:
def __init__(self) -> None:
self.overworld = Overworld(screen,self.start_game)
self.status = 'overworld'
self.current_room = 0
def start_game(self):
self.room = Room(self.current_room, self.create_overworld)
... | NishantK30/projects | text based game/main.py | main.py | py | 960 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "Room.Overworld",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "Room.Room",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "Room.Overworld",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pygame.init",
"line_number... |
41585308053 | from flask.ext.mongokit import MongoKit, Document
from datetime import datetime
from sensorapp import db, app
@db.register
class Device(Document):
__database__ = app.config["DB_NAME"]
__collection__ = "device"
structure = {
'name': unicode,
'digit_pin_num': int,
'analog_pin_num': in... | janetyc/SensorIoT | sensorapp/models.py | models.py | py | 2,885 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.ext.mongokit.Document",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "sensorapp.app.config",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sensorapp.app",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "date... |
15150261198 | #Healthy programmer
# 9am - 5pm
# Water = water.mp3 (3.5 liters)every 40min - Drank - log
# Eyes = eyes.mp3 (Every 30 min) - EyesDone - log
# Pysical Activity = pysical.mp3 (every 45 min)- ExDone - log
#
# Rules - pygame module to play audio
from pygame import mixer
from datetime import datetime
from time import time
... | entbappy/My-python-projects | Ex7 Healty programmer50.py | Ex7 Healty programmer50.py | py | 1,582 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "pygame.mixer.init",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pygame.mixer",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "pygame.mixer.music.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pygame.mixer.m... |
5850629924 | #coding: utf-8
import pygame
from block import Block
import constants
#insert this class in ship method gen_shoot()
class Bullet(Block):
def __init__(self,x,y, sign, speed, targets_nopoints= None, targets_points=None, point_receptor=None):
super(Bullet, self).__init__(x,y,10,10,constants.YELLOW)
self.dir_x = 0
... | RafaelPAndrade/Pixel_Martians | bullet.py | bullet.py | py | 1,487 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "block.Block",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "constants.YELLOW",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pygame.sprite",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pygame.sprite",
... |
35076398379 | """This file contains the signature validator abstraction"""
import base64
import json
from cose.headers import KID
from cose.keys.keyops import VerifyOp
from cose.messages import Sign1Message
from cose.keys import CoseKey
from cose.algorithms import Es256, Ps256
from cose.keys.keytype import KtyEC2, KtyRSA
from cose... | ryanbnl/eu-dcc-diagnostics | classes/SignatureValidator.py | SignatureValidator.py | py | 3,969 | python | en | code | 9 | github-code | 36 | [
{
"api_name": "classes.TrustList.TrustList",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "cose.messages.Sign1Message.decode",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "cose.messages.Sign1Message",
"line_number": 31,
"usage_type": "name"
},
... |
38488870579 | #!/usr/bin/env python3
#
# Bonus. GPE auto-training + GSA using external (from publication) dataset loaded from json file
#
import os
from gpytorch.likelihoods import GaussianLikelihood
from gpytorch.means import LinearMean
from gpytorch.kernels import MaternKernel, ScaleKernel
from GPErks.gp.data.dataset import Data... | stelong/GPErks | examples/example_bonus.py | example_bonus.py | py | 3,888 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "GPErks.log.logger.get_logger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "GPErks.utils.random.set_seed",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "GPErks.gp.data.dataset.Dataset.build_from_file",
"line_number": 30,
"usage_type... |
3419259967 | from spectractor import parameters
from spectractor.simulation.simulator import AtmosphereGrid, SpectrumSimulatorSimGrid
from spectractor.config import load_config
from spectractor.simulation.image_simulation import ImageSim
from spectractor.logbook import LogBook
from spectractor.extractor.extractor import Spectractor... | LSSTDESC/Spectractor | runSimulator.py | runSimulator.py | py | 2,608 | python | en | code | 13 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "spectractor.parameters.VERBOSE",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "spectractor.parameters",
"line_number": 27,
"usage_type": "name"
},
{
... |
26736973424 | import json
import re
from PyQt5.QtGui import QColor
from PyQt5.QtWidgets import QFileDialog, QListWidgetItem, QColorDialog
from models.const import *
from models import util
from uis.main_window import Ui_MainWindow
class SettingsController(object):
def __init__(self, app=None, ui: Ui_MainWindow = None, main_cont... | freedy82/Comic-Toolbox | models/controllers/settings_controller.py | settings_controller.py | py | 14,876 | python | en | code | 13 | github-code | 36 | [
{
"api_name": "uis.main_window.Ui_MainWindow",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QFileDialog.getExistingDirectory",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QFileDialog",
"line_number": 69,
"usage_ty... |
18174515063 | import os
import sys
import pathlib
import pandas as pd
import pymrio as pym
import pickle as pkl
import logging
import argparse
import json
import re
from pymrio.core.mriosystem import IOSystem
SEC_AGG_ODS_FILENAME = "exiobase3_aggregate_to_7_sectors.ods"
PARAMS_ODS_FILENAME ="exiobase3_7_sectors_params.ods"
EXIO3_MO... | spjuhel/BoARIO | scripts/generate-example-files.py | generate-example-files.py | py | 10,120 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "pymrio.IOSystem",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "pymrio.core.mriosystem.IOSystem",
"line_number": 82,
"usage_type": "argument"
},
{
"api_name": "pathlib.Path",
"line_number": 90,
"usage_type": "call"
},
{
"api_name": ... |
9959099201 | import random
import itertools
import math
import json
from functions.counting import counting
from functions.multi_arithematic import multiple_operations_two_ops
from functions.single_arithematic import single_arithematic
from functions.avg_val import average_point_value
from functions.permutation_combination import ... | GVS-007/MLLM_Reasoning | final_data_creation.py | final_data_creation.py | py | 7,225 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "functions.clock.generate_clock_time_questions",
"line_number": 173,
"usage_type": "call"
},
{
"api_name": "itertools.combinations",
"line_number": 196,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 203,
"usage_type": "call"
},
... |
16620383859 | # @Author: Billy Li <billyli>
# @Date: 06-05-2022
# @Email: li000400@umn.edu
# @Last modified by: billyli
# @Last modified time: 06-06-2022
import sys
from pathlib import Path
import shutil
import numpy as np
from scipy.stats import uniform
data_dir = Path.cwd().parent.joinpath("data")
sys.path.insert(1, str(... | billy000400/CircNN | src/features/make_data_single_track.py | make_data_single_track.py | py | 2,828 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pathlib.Path.cwd",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "sys.path.insert",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_nu... |
13990400448 | from collections import defaultdict
from sys import maxint
class Solution(object):
def getClosest(self, S, t):
closest = None
minDiff = maxint
for k, x in S:
diff = abs(t - x)
if diff < minDiff:
minDiff = diff
closest = k, x
r... | dariomx/topcoder-srm | leetcode/zero-pass/google/optimal-account-balancing/Solution3.py | Solution3.py | py | 1,460 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.maxint",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "collections.defaultdict",
"line_number": 22,
"usage_type": "call"
}
] |
23256745509 | from flask import Flask, render_template, request, session, redirect, flash, url_for
from flask_hashing import Hashing
import random
import secrets
from .utils import *
app = Flask(__name__)
app.config.from_object('config')
hashing = Hashing(app)
def before_request():
"""fonction qui initialise les sessions de ... | Tezay/conjug | conjugFR/views.py | views.py | py | 27,625 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask_hashing.Hashing",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.session",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "flask.session",
"l... |
18306688211 | from PIL import Image
img=Image.open(r"C:\Users\rohan\Downloads\Pictures\IMG_5093.jpg")
height=img.height
width=img.width
print(f"Height:{height} Width:{width}")
r,g,b=img.getpixel((100,100))
print(f"R:{r} G:{g} B:{b}")
img2=img.convert("L")
img2.show()
img2=img2.save(r"C:\Users\rohan\Downloads\Pictures\test2.jpeg")
i... | rohanxd1/Codes | Python/TEST.py | TEST.py | py | 416 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "PIL.Image.open",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 2,
"usage_type": "name"
}
] |
1165604872 | # https://leetcode.com/problems/subsets/
# Total subsets for an arr of len n is 2 power n
# Each subset is represented by binary representation of this total
# for ex. if n = 3
# total subsets is 8 viz. 2 power 3
# subset0 would be 000, subset1 = 001, subset2 = 010, subset3 = 011 and so on.
# if one is found in b... | acharyarajiv/leetcode | medium/subsets.py | subsets.py | py | 1,423 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.List",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": ... |
32487421332 | #-*-coding:utf-8 -*-
import sys
import hmac
import hashlib
import time
import requests
import json
import urllib
import top
class ewsServiceApi:
'''
Aliyun EWS service api
'''
def __init__(self,accesskey,secretkey):
self.accesskey = accesskey
self.secrekey = secretkey
self.tim... | opnms/opnms | base/ewsService.py | ewsService.py | py | 2,267 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "time.time",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "hmac.new",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "hashlib.md5",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number":... |
25163396057 |
import os
from unittest import mock
from easul import util
from easul.driver import MemoryDriver
from easul.visual import Visual
from easul.tests.example import diabetes_progression_algorithm, prog_input_data, no_prog_input_data
import logging
from easul.visual.element import Prediction
from easul.visual.element.pr... | rcfgroup/easul | easul/tests/visual/test_prediction.py | test_prediction.py | py | 2,967 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "logging.basicConfig",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "easul.visual.... |
70231595624 | '''
Name: Main file for HW2 of FE 595
Intro: This file should load the cleaned data from theyfightcrime.org, sort the data, and return the required info.
Author: William Long
Date : 09/22/2019
'''
import pandas as pd
import numpy as np
from textblob import TextBlob
import nltk
#First, Let's load the data
m_raw = pd.... | bluefinch83/FE_595_HW2 | Main.py | Main.py | py | 2,099 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "textblob.TextBlob",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "nltk.word_tokenize"... |
19702023558 | from flask import Flask, request, send_from_directory, send_file
from contracts import DCCInterface
from web3 import Web3, HTTPProvider
import json
import _thread
import time
import traceback
app = Flask(__name__)
jobs = []
jobs_details = []
web3 = Web3([HTTPProvider("http://10.8.3.1:8545")])
def thread_prune_entrie... | jimgao1/dcc | src/server.py | server.py | py | 1,747 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "web3.Web3",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "web3.HTTPProvider",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "contracts.DCCInterface",
... |
72054157543 | # Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html
# useful for handling different item types with a single interface
from datetime import datetime
from urllib.parse import urljoin
import pymongo
imp... | mudssky/myScrapySpiders | getchu/getchu/pipelines.py | pipelines.py | py | 3,959 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "itemadapter.ItemAdapter",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "dat... |
14873664547 | import cv2
import yaml
from application.main.onnx_model.base_model import BaseModel
from typing import Tuple
from application.main.onnx_model.util import *
class YoloOnnxModel(BaseModel):
def __init__(self, cfg_file):
super(YoloOnnxModel, self).__init__(cfg_file)
self.input_nodes = ["images"]
... | YoungHyuenKim/onnx_fastAPI_example | application/main/onnx_model/yolo_model.py | yolo_model.py | py | 2,184 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "application.main.onnx_model.base_model.BaseModel",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "cv2.resize",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 18,
"usage_type": "call"
},
{
"api_name... |
74797071465 | import scrapy
from scrapy.spiders import CrawlSpider, Rule
from scrapy.http import Request
import re
class MySpider(CrawlSpider):
name = 'author_scrape'
author_name = 'ุงูููุฏู ูุนููุจ'
author_eng = 'al-Kindi'
start_urls = ['https://ablibrary.net/books/?offset=0&limit=50&author={}&sort=name,asc'.f... | maeirnoam/scrapers | ABLibrary/ablib_scraper/ablib_scraper/spiders/ABLibCrawler.py | ABLibCrawler.py | py | 2,051 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "scrapy.spiders.CrawlSpider",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "re.compile",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "re.DOTALL",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "re.MULTILINE",
... |
34996914416 | import numpy as np
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
from numpy import pi
inputName = "21cylindrov"
fileName = inputName + "-Tphi-all"
plotName = fileName + "-smery"
data = np.load("./Results/"+fileName+".npz")
inputData = np.load("./Inputs/" + inputName + ".npz")
n = inputData... | KlaraFickova/Diplomovka | Draw/smery-f.py | smery-f.py | py | 919 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.use",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.rcParams",
"line_n... |
21645118091 | from datetime import date, datetime, timezone, timedelta
import threading
import git
import os
from repoorgui.commands import commandfn
# see https://stackoverflow.com/a/39956572
# made changes to return repo object if exits
def is_git_repo(path):
try:
r = git.Repo(path)
_ = r.git_dir
ret... | abhishekmishra/repoorgui | src/repoorgui/gitworkspace.py | gitworkspace.py | py | 4,397 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "git.Repo",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "git.exc",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"... |
38799414939 | import discord
import bdg
import gamelist
import random
class SurpriseGameCommand(bdg.BdgCommand):
header = {
'name': "sortear_jogo",
'description': "Lista de Jogos - Sorteie um jogo aleatรณrio baseado no filtro especificado",
}
async def on_command(self, i: discord.Interaction, filtro: gamelist.GameFilter):
... | DanielKMach/BotDusGuri | src/commands/gamelist/surprise.py | surprise.py | py | 814 | python | pt | code | 1 | github-code | 36 | [
{
"api_name": "bdg.BdgCommand",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "discord.Interaction",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "gamelist.GameFilter",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "... |
11685619050 | from django.shortcuts import render
from django.shortcuts import render,redirect
from django.contrib.auth.forms import UserCreationForm,AuthenticationForm
# from .models import Device
from django.contrib.auth import authenticate
from django.contrib.auth import login
#from .forms import SignUpForm
from django.core.mail ... | sanjolisogani/new_ops | newops/views.py | views.py | py | 14,804 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.contrib.auth.authenticate",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "django.core.mail.send_mail",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "django.conf.settings.EMAIL_HOST_USER",
"line_number": 35,
"usage_type": "attr... |
41166932292 | # pip install requests bs4 lxml
# pip install jieba
import requests
import bs4
import jieba
import csv
stocks = set()
def prepare_stocks():
with open('week3/Stock.csv', encoding='utf-8') as csv_file:
csv_reader = csv.reader(csv_file)
stock_list = list(csv_reader)
for stock in stoc... | andrewintw/learning-python-web-crawler | week3/lab00_ptt_from_teacher.py | lab00_ptt_from_teacher.py | py | 2,001 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "csv.reader",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "jieba.lcut",
"line_numb... |
74120599144 | from django.db.models import Q
from django.shortcuts import render
from apps.news.models import News, HeadlineNews, BottomInfo
# Views function for home page of site
def index(request):
# news part
latest_news = News.objects.order_by('-published_date')[:3]
headlines = HeadlineNews.objects.filter(is_publis... | libomun/crhs | apps/home/views.py | views.py | py | 1,287 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "apps.news.models.News.objects.order_by",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "apps.news.models.News.objects",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "apps.news.models.News",
"line_number": 9,
"usage_type": "name"
... |
16667044604 | import os
import pydicom
import numpy as np
import dicom_numpy
from utils import hidden_errors
from tf_utils import *
from pathlib import Path
def read_dicom_folder(dicom_folder, rescale=None):
''' Reads all .dcm files in `dicom_folder` and merges them to one volume
Returns:
The volume and the affine... | xeTaiz/dvao | volume_loader.py | volume_loader.py | py | 2,556 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "pydicom.dcmread",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "dicom_numpy.combine_slices",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",... |
2051327559 | ##https://towardsdatascience.com/develop-a-nlp-model-in-python-deploy-it-with-flask-step-by-step-744f3bdd7776
from flask import Flask, request, jsonify,render_template,redirect,flash
import pandas as pd
import matplotlib.pyplot as plt
#from flask_cors import CORS
from data_Preprocessing import DataPreprocessing
from ve... | Pooja-AI/Email-Classification | file.py | file.py | py | 10,841 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "flask.req... |
8591398196 | import torch
import torch.nn as nn
import torch.nn.functional as F
import copy
import numpy as np
from itertools import chain
class SurgicalFineTuningBert(nn.Module):
def __init__(
self,
bert_model,
) -> None:
super().__init__()
self.get_extended_attention_mask = bert_model.get... | AntoineBigeard/NLPSurgicalFineTuning | src/pimped_bert.py | pimped_bert.py | py | 4,780 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "copy.deepcopy",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_n... |
11831438569 | import discord
from discord.ext import commands
from discord.commands import Option
from commands.funcs.yatta_gif import yatta_gif
# List of commands here:
# /yattagif
class Gif(commands.Cog, description='Gif maker'):
def __init__(self, bot):
self.bot = bot
self.footer = "Developed by jej#6495 for... | jej-v/snowcodes2022 | commands/yatta.py | yatta.py | py | 1,201 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "discord.ApplicationContext",
"line_number": 17,
"usage_type": "attribute"
},
{
"... |
16010531173 | '''
api_test.py
Jeff Ondich, 11 April 2016
Ethan Somes, 13 April, 2017
Revised from Jeff's example for CS 257 Software Design. How to retrieve results
from an HTTP-based API, parse the results (JSON in this case),
and manage the potential errors.
'''
import sys
import argparse
import... | NylaWorker/TrebuchetPhysicsSimulation | CS257/API.py | API.py | py | 5,087 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "urllib.request.request.urlopen",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 35,
"usage_type": "name"
},
{
"api_nam... |
11519320722 | # -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function
import logging
from types import FunctionType
from fdm import central_fdm
from lab import B
from plum import Dispatcher, Self, Referentiable, type_parameter, Union
from .util import uprank
from .input import Input, At, MultiInp... | pb593/stheno | stheno/graph.py | graph.py | py | 27,441 | python | en | code | null | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "input.At",
"line_number": 45,
"usage_type": "argument"
},
{
"api_name": "plum.Referentiable",
"line_number": 54,
"usage_type": "name"
},
{
"api_name": "plum.Dispatcher",
... |
23331748159 | import matplotlib.pyplot as plt
from utility_functions import *
depth = 120
layers = 100
segments = 1
size_classes = 2
lam = 300
simulate = False
verbose = True
l2 = False
min_attack_rate = 10**(-3)
mass_vector = np.array([0.05, 20, 6000]) # np.array([1, 30, 300, 400, 800, 16000])
obj = spectral_method(depth, layer... | jemff/food_web | old_sims/other_initial_conditions.py | other_initial_conditions.py | py | 1,717 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "matpl... |
19786182992 | from keras import Model
import numpy as np
from scam.exceptions import InvalidState
from scam.utils import resize_activations, normalize_activations
class ScoreCAM:
def __init__(self, model_input, last_conv_output, softmax_output, input_shape, cam_batch_size=None):
"""
Prepares class activation m... | andreysorokin/scam-net | scam/keras.py | keras.py | py | 3,075 | python | en | code | 9 | github-code | 36 | [
{
"api_name": "keras.Model",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "keras.Model",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "scam.utils.resize_activations",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "scam.utils.norm... |
70345439783 | import os
import sys
import pdb
import torch
import numpy as np
import pickle as pkl
from PIL import Image
from random import shuffle
from torchvision import datasets, transforms
""" Template Dataset with Labels """
class XYDataset(torch.utils.data.Dataset):
def __init__(self, x, y, **kwargs):
self.x, se... | joey-wang123/DRO-Task-free | data.py | data.py | py | 11,866 | python | en | code | 11 | github-code | 36 | [
{
"api_name": "torch.utils",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.Tensor",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image.open",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"li... |
9502049271 | from django.db import models
from django.contrib.auth.models import AbstractUser
from voomsdb.utils.models import PersonalModel, NameTimeBasedModel
from voomsdb.utils.choices import AdmissionTypeChoice
from voomsdb.utils.media import MediaHelper
from voomsdb.utils.strings import generate_ref_no
from django.conf import ... | dauntless001/vooms | home/models.py | models.py | py | 1,596 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.contrib.auth.models.AbstractUser",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "voomsdb.utils.models.PersonalModel",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 18,
"usage_type": ... |
75121574505 | import unittest
import requests
URL = 'http://127.0.0.1:8000/segment'
IMAGE_PATH = './data/test_image/'
IMAGE_NAME = '0bf631128.jpg'
IMAGE_FORMAT = 'image/jpeg'
class ImageSegmentationTest(unittest.TestCase):
def test_image_segmentation(self):
with open(IMAGE_PATH+IMAGE_NAME, 'rb') as image_file:
... | MykytaKyt/airbus-ship-detection | tests/test_app.py | test_app.py | py | 994 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "unittest.TestCase",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "requests.post",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "unittest.main",
... |
990448118 | import requests
import random
import time
from threading import Thread
# Import modules for HTTP flood
import tools.randomData as randomData
import tools.ipTools as ipTools
def HTTP_ATTACK(threads, attack_time, target):
# Finish
global FINISH
FINISH = False
if ipTools.isCloudFlare(target):
if not ... | Marshmello1912/Git | Impulse/tools/L7/http.py | http.py | py | 1,653 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "tools.ipTools.isCloudFlare",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tools.ipTools",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "tools.randomData.random_useragent",
"line_number": 24,
"usage_type": "call"
},
{
"api_na... |
25634514682 | import claripy
import code
from hashlib import sha512
import json
import sys
b = [claripy.BVS('b_%d' % i, 1) for i in range(33896)]
s = claripy.Solver()
with open("map3.txt", 'r') as f:
cipher, chalbox = json.loads(f.read())
length, gates, check = chalbox
for i in range(33767,33896):
name, args = gates[i-... | posgnu/ctfs | pctf2018/3iscABC/sol.py | sol.py | py | 907 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "claripy.BVS",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "claripy.Solver",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "claripy.BVV",
"line_number": ... |
18852099221 | from os import environ
from time import time, sleep
import requests
import requests.auth
from requests_oauthlib import OAuth1
from .exceptions import *
class API:
def __init__(self, session=None):
self.log_function = print
self.retry_rate = 5
self.num_retries = 5
s... | kavyamandaliya/SentimentAnalysis | scraper/scrap/apis.py | apis.py | py | 13,220 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.exceptions",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "requests.exceptions",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "requests.exceptions",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_na... |
43696108113 | import os
from math import ceil
from keras import backend
from keras import optimizers
from keras.applications.vgg19 import VGG19
from keras.applications.resnet50 import ResNet50
from keras.layers import Dense, Flatten, BatchNormalization, Dropout
from keras.models import Sequential, Model
from keras.callbacks import... | anson627/kaggle | planet/lib/classifier.py | classifier.py | py | 5,485 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "keras.applications.vgg19.VGG19",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "keras.models.Sequential",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "keras.layers.Flatten",
"line_number": 32,
"usage_type": "call"
},
{
"api_n... |
37980420317 | import random
from enum import Enum
fifth_ed_bad_reactions = ["cringe.jpg", "mike.jpg", "nat1.gif", "nat1.jpg", "jazz.jpg"]
fifth_ed_good_reactions = ["heisenberg.gif", "joji.jpg", "mcmahon.gif", "nat20.jpg"]
sw_bad_reactions = ["bad1.gif", "bad2.gif", "bad3.gif", "bad4.gif",
"bad5.gif", "bad6.jpg... | SPIGS/DiceBot | gamemode.py | gamemode.py | py | 1,148 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "enum.Enum",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "random.choice",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_numbe... |
23155147064 | import logging
import os
from datetime import datetime
file_name=f"{datetime.now().strftime('%d_%m_%Y_%H_%M_%S')}.log"
logs_path=os.path.join(os.getcwd(),"logs",file_name)
os.makedirs(logs_path,exist_ok=True)
logs_file_path=os.path.join(logs_path,file_name)
logging.basicConfig(filename=logs_file_path,
... | Hema9121/second-hema-ml-repo | src/logger.py | logger.py | py | 500 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime.now",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line... |
22541773169 | # RA, 2020-10-13
import contextlib
import io
@contextlib.contextmanager
def open_maybe_gz(file, *, mode='r'):
"""
Open `file` for reading that could be a
- file descriptor
- path to file
- path to gzipped file
`mode` is either 'r' or 'rb', and has to be specified.
Usage:
with... | Luca-Blum/Computational_Biomedicine | project1/solution/humdum/io/gz.py | gz.py | py | 891 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "io.IOBase",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "gzip.open",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "io.TextIOWrapper",
"line_nu... |
31571764321 | # _ __ _ __
# | | /| / /| | /| / / GREEN ANALYTICAL INDEX GENERATOR
# | |/ |/ / | |/ |/ / W.Wojnowski 2020
# |__/|__/ |__/|__/ v.0.3 (alpha)
#
#
from tkinter import *
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
... | Casivelaunus/Green_index | Main_window.py | Main_window.py | py | 62,363 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "tkinter.filedialog.asksaveasfilename",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog",
"line_number": 68,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.savefig",
"line_number": 70,
"usage_type": "call"
},
{
... |
30810878899 |
import serial
import KeyConfig as kc
import struct
import socket
IP = '192.168.1.200'
PORT = 12345
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM, socket.IPPROTO_UDP)
s.setblocking(False)
def read_data():
d: bytes = ser.readline()
if len(d) > 0:
res = d.decode().replace('\r\n', '')
r... | AssoAndrea/UE-ArduinoLightController | PythonMiddleware/main.py | main.py | py | 1,249 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "socket.socket",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_DGRAM",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "socket.IPPRO... |
2112950145 | import json
class SettingFile(object):
def __init__(self, path, defaults):
self._defaults = defaults
self._path = path
self._data = dict()
self._callbacks = dict()
for setting in defaults:
self._callbacks[setting] = callback_assist()
self.load()
def... | sdfgeoff/newsscroller | setting_file.py | setting_file.py | py | 2,100 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "json.load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 34,
"usage_type": "call"
}
] |
41341957139 | import numpy as np
from scipy import signal
from scipy.signal import iirfilter
from scipy.signal import lfilter
def Implement_Notch_Filter(fs: float, band: list, freq: float, ripple: float, order: int, filter_type: str, data: np.array):
r"""
Args:
fs: frequency sampling
band: the bandwidth aro... | Mariellapanag/pyiEEGfeatures | src/pyiEEGfeatures/IIR_notch_filter.py | IIR_notch_filter.py | py | 2,731 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "numpy.array",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "scipy.signal.iirfilter",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "scipy.signal.lfilter",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "scipy.sig... |
8785489698 | import gymnasium as gym
from IPython import display
import matplotlib.pyplot as plt
from utils.visualize import visualize_policy, visualize_q, visualize_model, visualize_v
class JupyterRender(gym.Wrapper):
def __init__(self, env):
super().__init__(env)
self.env = env
def render(self, title='En... | moripiri/Reinforcement-Learning-on-FrozenLake | utils/wrapper.py | wrapper.py | py | 2,250 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "gymnasium.Wrapper",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "util... |
27052908549 | from typing import List
class TreeNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution:
def levelOrder(self, root: TreeNode) -> List[List[int]]:
if root is None:
return []
vals = []
current_vals = []
... | ikedaosushi/leetcode | problems/python/levelOrder.py | levelOrder.py | py | 1,094 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "typing.List",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "utils.binary_tree.from_nums",
"line_number": 41,
"usage_type": "call"
}
] |
72167483303 | """
This file holds the interaction sites class used in simulation.py.
"""
import warnings
from random import random
from copy import deepcopy
from itertools import combinations
from math import comb
import numpy as np
class InteractionSites:
"""A class designed to host interactions between persons within specif... | Queens-Physics/quaboom | cv19/interaction_sites.py | interaction_sites.py | py | 33,973 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "numpy.zeros",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_numbe... |
37877826411 | import os
import re
import shutil
from glob import glob
from osrf_pycommon.process_utils import AsyncSubprocessProtocol
from catkin_tools.common import mkdir_p
from catkin_tools.terminal_color import fmt
from .events import ExecutionEvent
MAX_LOGFILE_HISTORY = 10
class IOBufferContainer(object):
"""A simple ... | catkin/catkin_tools | catkin_tools/execution/io.py | io.py | py | 9,125 | python | en | code | 153 | github-code | 36 | [
{
"api_name": "os.path.join",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 3... |
73971404584 | from scripts.util.joystick import Joystick
from carla_env import CarlaEnv
from wrapped_carla_env import BiasedAction
import time
import carla
import pygame
import numpy as np
class ManualInterface:
def __init__(self, env: CarlaEnv):
# create env
self.env = env
self.obs = None
se... | imoneoi/carla_env | scripts/manual_control.py | manual_control.py | py | 4,642 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "carla_env.CarlaEnv",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "pygame.init",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pygame.font.Font",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"li... |
1021810825 | import os
import cv2
import torch
import numpy as np
import matplotlib.pyplot as plt
model_type = "DPT_Large"
midas = torch.hub.load("intel-isl/MiDaS", model_type)
device = torch.device("cuda") if torch.cuda.is_available() else torch.device("cpu")
midas.to(device)
midas.eval()
midas_transforms = torch.hub.load("int... | Roman212Koval/Dual-channel_CNN | monocular.py | monocular.py | py | 1,994 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "torch.hub.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.hub",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
... |
70553071464 | import time, datetime
import numpy as np
import os
import os.path as osp
import torch
import torchvision
import matplotlib.pyplot as plt
import torchvision.utils as vutils
import torch.nn.functional as F
import cv2
import glob
import random
from lib.utils.eval_utils import (
batch_compute_similarity_transform_tor... | JunukCha/SSPSE | utils/trainer_utils.py | trainer_utils.py | py | 26,289 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "time.strftime",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "time.gmtime",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number":... |
31524108278 | """
Test read submittal chain
NOTE: this just makes sure the chain executes properly but DOES NOT assess the quality of the agent's analysis. That is done in the ipython notebooks in the evals/ folder
"""
import pytest
from meche_copilot.schemas import Session
from meche_copilot.chains.read_submittal_chain import Read... | fuzzy-tribble/meche-copilot | tests/unit_tests/chains/read_submittal_chain_test.py | read_submittal_chain_test.py | py | 1,324 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "meche_copilot.chains.read_submittal_chain.ReadSubmittalChain",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "meche_copilot.schemas.Session",
"line_number": 18,
"usage_typ... |
23882256658 | #!/usr/bin/env python3
"""
Autonomy node for the TurtleBot3.
This script relies on a YAML file of potential navigation locations,
which is listed as a `location_file` ROS parameter.
Example usage:
ros2 run tb3_autonomy autonomy_node.py
ros2 run tb3_autonomy autonomy_node.py --ros-args -p location_file:=/path/to... | sea-bass/turtlebot3_behavior_demos | tb3_autonomy/scripts/autonomy_node.py | autonomy_node.py | py | 5,578 | python | en | code | 207 | github-code | 36 | [
{
"api_name": "os.path.join",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "ament_index_python.packages.get_package_share_directory",
"line_number": 31,
"usage_type": "call"
},
{
... |
2655039038 | import torch
import numpy as np
import torch.utils.data
import matplotlib.pyplot as plt
n_train = 1000
class DS(torch.utils.data.Dataset):
def __init__(self, n):
self.n = n
self.y = torch.rand(n)*21-10.5
self.x = torch.sin(0.75*self.y)*7.0+self.y*0.5+torch.randn(n)
def __len__(self):
... | nguyenvantui/deepwriting-master-1 | github_syn/my_mdn2.py | my_mdn2.py | py | 2,177 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "torch.utils",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.rand",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.sin",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.randn",
"line_number":... |
7755009879 | import numpy as np
import json
import copy
import functools
from tensorpack.utils import logger
from petridish.info.layer_info import LayerInfo, LayerInfoList, LayerTypes
class CellNetworkInfo(dict):
def __init__(self, master=None, normal=None, reduction=None):
super(CellNetworkInfo, self).__init__(loca... | microsoft/petridishnn | petridish/info/net_info.py | net_info.py | py | 27,723 | python | en | code | 111 | github-code | 36 | [
{
"api_name": "json.dumps",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "petridish.info.layer_info.LayerTypes.MERGE_WITH_SUM",
"line_number": 91,
"usage_type": "attribute"
},
{
"api_name": "petridish.info.layer_info.LayerTypes",
"line_number": 91,
"usage_type... |
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