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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
34912513925 | #!/usr/bin/python
# -*- coding:utf-8 -*-
###lib required:pdfminer3k,python_docx
import sys,io,re,os
from pdfminer.pdfinterp import PDFResourceManager, process_pdf
from pdfminer.converter import TextConverter
from pdfminer.layout import LAParams
from io import StringIO
from io import open
from docx import Document
from... | 382982408/private_library | evernote/工具打包：_files/pdf2WordTxt.py | pdf2WordTxt.py | py | 2,332 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sys.stdout",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "io.TextIOWrapper",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "io.open",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pdfminer.pdfinterp.PDFResour... |
42131709820 | """empty message
Revision ID: 338df913cbf6
Revises: c23954660d11
Create Date: 2021-08-20 13:29:42.521603
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '338df913cbf6'
down_revision = 'c23954660d11'
branch_labels = None
depends_on = None
def upgrade():
# ... | kuyang95/1319_KakaoChatBot | migrations/versions/338df913cbf6_.py | 338df913cbf6_.py | py | 1,049 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "alembic.op.batch_alter_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.... |
11727732018 | from typing import Optional, Any
import argparse
import logging
import lsprotocol.types as lsp_types
from pygls.server import LanguageServer
import logging
from . import commands, features
from .colorful_log_handler import ColorfulHandler
LOGGER = logging.getLogger(__name__)
def init_language_server() -> LanguageSe... | ousttrue/tentiris | python/tentiris/__main__.py | __main__.py | py | 3,750 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygls.server.LanguageServer",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "typing.Optional",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "typing.... |
36164598638 | import sys
import argparse
from dotenv import load_dotenv
import chromadb
from chromadb.config import Settings
from langchain.vectorstores import Chroma
from langchain.embeddings import OpenAIEmbeddings
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain.llms import OpenAI
from langcha... | noodnik2/InnovAIteLab | chroma/text-seer.py | text-seer.py | py | 2,614 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "dotenv.load_dotenv",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "chromadb.con... |
30550662784 | """QGIS Unit tests for QgsFieldValidator.
.. note:: 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 2 of the License, or
(at your option) any later version.
"""
__author__ = 'Alessandr... | qgis/QGIS | tests/src/python/test_qgsfieldvalidator.py | test_qgsfieldvalidator.py | py | 6,178 | python | en | code | 8,946 | github-code | 7 | [
{
"api_name": "utilities.unitTestDataPath",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "qgis.testing.start_app",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "qgis.testing.QgisTestCase",
"line_number": 30,
"usage_type": "name"
},
{
"api_n... |
1134563220 | #!/usr/bin/python
import xml.etree.ElementTree as ET
import argparse
import os
import HTMLParser
from pprint import pprint
ns = '{http://checklists.nist.gov/xccdf/1.1}'
dc = '{http://purl.org/dc/elements/1.1/}'
h = HTMLParser.HTMLParser()
objRef = {}
# def show_root_info(self):
# for item in self.root.... | nullspace-dev/STIG_Nessus_auditbuild | stigToAudit.py | stigToAudit.py | py | 3,814 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "HTMLParser.HTMLParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree.parse",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 47,
"usage_type": "name"
},
{
"api_name"... |
37955310118 | import torch
import torch.nn.functional as F
def bl_matmul(mat_a, mat_b):
return torch.einsum('mij,jk->mik', mat_a, mat_b)
def compute_permu_matrix(s: torch.FloatTensor, tau=1):
device = s.get_device()
mat_as = s - s.permute(0, 2, 1)
mat_as = torch.abs(mat_as)
n = s.shape[1]
one = torch.one... | jmnel/neuralsort | src/nsort.py | nsort.py | py | 1,142 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "torch.einsum",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.FloatTensor",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.abs",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.ones",
"line_nu... |
34928586582 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
""" Command line tool to merge possibly overlapping flux.dat files from hotstart runs
"""
import argparse
import numpy as np
def combine_flux(infiles,outfile,prefer_last=False):
""" Merge possibly overlapping flux.dat files from hostart runs
"""
filedata = []
... | CADWRDeltaModeling/schimpy | schimpy/combine_flux.py | combine_flux.py | py | 3,260 | python | en | code | 5 | github-code | 7 | [
{
"api_name": "numpy.loadtxt",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.argsort",
"line_numbe... |
34602916448 | import rtree
class PathIndex:
def __init__(self, path_graph):
self.idx = rtree.index.Index()
self.path_graph = path_graph
for index, coordinate in path_graph.iter_starts_with_index():
self.idx.add(index, coordinate + coordinate)
def get_nearest(self, coordinate):
r... | NicholasARossi/generative_artforms | path_optimization/greedy_optimization.py | greedy_optimization.py | py | 2,060 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "rtree.index.Index",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "rtree.index",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "collections.Counter",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "collections.Coun... |
42865856548 | #!/usr/bin/python
# -*- coding: latin-1 -*-
import numpy as np
import csv
from os import sys
import random
import time
from operator import itemgetter
import math
import pickle
import numpy as np
import matplotlib.pyplot as plt
# These are dictionaries storing mean and variance for each movie,cluster -> mean[mov... | asiddhant/PLSA-Recommender | plsa_package.py | plsa_package.py | py | 101,625 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "time.time",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 124,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 133,
"usage_type": "call"
},
{
"api_name": "pickle.dump",
"line_number": 14... |
27004602568 | from django import template
register = template.Library()
@register.filter()
def smooth_timedelta(timedeltaobj):
"""Convert a datetime.timedelta object into Days, Hours, Minutes, Seconds."""
secs = timedeltaobj.total_seconds()
timetot = ""
if secs > 86400: # 60sec * 60min * 24hrs
days = secs /... | kashtanov1111/construction_project | accounts/templatetags/smooth_timedelta.py | smooth_timedelta.py | py | 749 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.template.Library",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 3,
"usage_type": "name"
}
] |
31585675167 | import pyttsx3
import PyPDF2
speaker = pyttsx3.init()
voices = speaker.getProperty('voices')
speaker.setProperty('voice', voices[1].id)
#rate = speaker.getProperty('rate')
speaker.setProperty("rate", 150)
speaker.say('i am alive I dont want it to go really slow just slow enough to be easy for a non native speaker to u... | SourabhKarma/Python_Beginner_projects | pdf reader/pdfreader.py | pdfreader.py | py | 377 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pyttsx3.init",
"line_number": 4,
"usage_type": "call"
}
] |
4121167903 | import numpy as np
import os
import torch
import torch.nn as nn
from torchvision import transforms
from torch.utils.data import Dataset, DataLoader
import math
from PIL import Image
from torchsummary import summary
from numpy import asarray
image_dir = "/content/Images"
SAVE_DIR = "/content/Results"
piece_dir = {}
bat... | Rjuhl/Chessposition-recognition | baseline.py | baseline.py | py | 6,490 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "os.listdir",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": ... |
11424913276 | from setuptools import setup, find_packages
version = "0.1.7"
if __name__ == '__main__':
setup(
name="pygraph_utils",
version=version,
packages=find_packages(),
python_requires='>=3.6',
# include_package_data=True,
# package_data={
# '': ['data/*.txt']
... | microsoftgraph/dataconnect-solutions | solutions/projectstaffing/pygraph/azure_processing/pygraph_utils/setup.py | setup.py | py | 407 | python | en | code | 38 | github-code | 7 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 9,
"usage_type": "call"
}
] |
10492443609 | import torch
from PIL import Image
from torchvision import models, transforms
from flask import Flask, request, jsonify
import pydicom
num_classes = 4
classes = ['COVID', 'Lung Opacity', 'Normal', 'Viral Pneumonia']
model = models.resnet18(pretrained=False)
model.fc = torch.nn.Linear(model.fc.in_features, num_classes)... | Shagabudinov/x-ray-chest-classificator | clasifyImage.py | clasifyImage.py | py | 1,590 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "torchvision.models.resnet18",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torchvision.models",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.nn... |
19010274869 | """Google Sign-In OAuth drop-in.
Google Sign-In API docs: https://developers.google.com/identity/protocols/OAuth2WebServer
Python API client docs: https://developers.google.com/api-client-library/python/
requests-oauthlib docs:
* https://requests-oauthlib.readthedocs.io/
* https://requests-oauthlib.readthedocs.io/e... | snarfed/oauth-dropins | oauth_dropins/google_signin.py | google_signin.py | py | 4,415 | python | en | code | 32 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "webutil.util.read",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "webutil.util",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "webutil.util.read",
... |
21522291014 | # -*- coding: utf-8 -*-
"""
Created on Mon Jan 18 21:17:44 2016
@author: zhicheng.qi
gramophone官网的爬虫，暂时爬feature这个栏目，只爬第一页
第一版
"""
import requests
from bs4 import BeautifulSoup
list_page = 'http://www.gramophone.co.uk/features/all'
r = requests.get(list_page)
soup = BeautifulSoup(r.text)
news_list = soup.findAll("di... | LeoQuote/cross-world-spider | spider.py | spider.py | py | 928 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 15,
"usage_type": "call"
}
] |
17581096789 | import json
import socket
import traceback
from threading import Thread
from network.protocolHandler import ProtocolHandler
from tools import logger
class Client:
def __init__(self, ip: str, port: int):
self.socket = socket.socket()
self.connectState = False
self.protocolHandle = Protoco... | TXMorningstar/GameJamProject | network/client.py | client.py | py | 1,225 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "socket.socket",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "network.protocolHandler.ProtocolHandler",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 18,
"usage_type": "call"
},
{
"api_name":... |
35065443023 | import pytest
from kubernetes.client import V2beta2CrossVersionObjectReference
from kubernetes.client import V2beta2ExternalMetricSource
from kubernetes.client import V2beta2ExternalMetricStatus
from kubernetes.client import V2beta2MetricIdentifier
from kubernetes.client import V2beta2MetricSpec
from kubernetes.client ... | Yelp/paasta | tests/instance/test_hpa_metrics_parser.py | test_hpa_metrics_parser.py | py | 6,251 | python | en | code | 1,652 | github-code | 7 | [
{
"api_name": "paasta_tools.instance.hpa_metrics_parser.HPAMetricsParser",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "kubernetes.client.V2beta2MetricSpec",
"line_number": 28,
"u... |
9981155310 | __author__ = 'nncsang'
from magic import Magic
import magic
import sys
import os
import re
import mimetypes
def print_result(filename, real_ext, expected_ext):
print("{:35s} \t {:10s} \t {:20s}".format(filename, real_ext, expected_ext))
# Default mime.types files
magic_file = "/etc/mime.types"
directory = None
... | nncsang/Forensics-Tools | TypeDetector.py | TypeDetector.py | py | 2,345 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "sys.argv",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number... |
161345283 | # You are given a scratchcard consists of a row of non-negative integers.
# To win the scratch game, you need to scratch at least 2 numbers of the same value.
# You can only scratch consecutive numbers from the card. Scratching each number costs 1 dollar.
# Return the minimum cost to win the game, or -1 if winning i... | afieqhamieza/DataStructures | python/consecutive_same_val.py | consecutive_same_val.py | py | 1,195 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "typing.List",
"line_number": 9,
"usage_type": "name"
}
] |
2332987809 | import json
import numpy as np
import os
import time
import torch
from pathlib import Path
from torch.utils.data import DataLoader
from tqdm import tqdm
import explaignn.heterogeneous_answering.graph_neural_network.dataset_gnn as dataset
from explaignn.heterogeneous_answering.graph_neural_network.gnn_factory import GN... | saitouhao/srtp-gnn-explain | EXPLAIGNN-main/explaignn/heterogeneous_answering/graph_neural_network/graph_neural_network.py | graph_neural_network.py | py | 11,943 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "torch.autograd.set_detect_anomaly",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.autograd",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "time.strftime",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "t... |
28679584722 | import time
import numpy as np
import torch
from metrics import MetricMeter, Writer
from sklearn.metrics import average_precision_score, roc_auc_score
from utils import get_eta, move_to, save_checkpoint, to_numpy
def train_loops(
args, train_epoch_fn, model, optimizer, scheduler, loader_test, ema_mod... | ytaek-oh/mlssl-simple | engine.py | engine.py | py | 4,474 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "metrics.Writer",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "utils.save_checkpoint",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_... |
276189509 | # -*- coding: utf-8 -*-
__auth__ = 'zone'
__date__ = '2019/6/17 下午11:46'
'''
公众号：zone7
小程序：编程面试题库
'''
import os
print(os.getcwd())
import logging
from python.logging_model.code import sub_of_main
logger = logging.getLogger("zone7Model")
logger.setLevel(level=logging.INFO)
handler = logging.FileHandler("log.txt")
han... | zonezoen/blog | python/logging_model/code/main.py | main.py | py | 737 | python | en | code | 21 | github-code | 7 | [
{
"api_name": "os.getcwd",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "logging.FileHandler",
... |
74014799903 | import sys
from cx_Freeze import setup, Executable
build_exe_options = {
"include_files": ["data"],
}
base = None
if sys.platform == "win32":
base = "Win32GUI"
setup(
name="Two Button Berserker",
options={"build_exe": build_exe_options},
executables=[Executable("main.py", base=base, targetName="... | joehowells/two-button-berserker | setup.py | setup.py | py | 344 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sys.platform",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "cx_Freeze.setup",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cx_Freeze.Executable",
"line_number": 16,
"usage_type": "call"
}
] |
74587938461 | import pygame
from scripts.button import Button
class Action_Menu():
def __init__(self, hand, game, gameboard, x, y):
self.hand = hand
self.game = game
self.gameboard = gameboard
self.isInit = False
self.x, self.y = x + 75, y - 100 #offset away from the hand center
... | xjphongx/Blackjack | scripts/action_menu.py | action_menu.py | py | 5,692 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "pygame.image.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pygame.image",
... |
72856899743 | from dash import dash, dcc, html, Output, Input
import dash_bootstrap_components as dbc
import pandas as pd
import geopandas as gpd
import plotly.express as px
from dash_bootstrap_templates import load_figure_template
from pathlib import Path
# Load files
script_dir = Path(__file__).parent.absolute()
df = pd.read_csv... | VerKoval/AirQualityModel | run_dash_app.py | run_dash_app.py | py | 4,699 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pathlib.Path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "geopandas.read_file",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
... |
20945396302 | import copy
import json
import random
import igraph as ig
from itertools import chain
from intervention import (
NetworkIntervention,
IndividualIntervention,
MockInterventionA,
MockInterventionB,
)
from agent import Agent
class Simulation:
def __init__(self, ticks, **kwargs):
self.__dic... | iancero/nhiabm_v2 | simulation/simulation.py | simulation.py | py | 10,406 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "igraph.Graph.Erdos_Renyi",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "igraph.Graph",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "agent.Agent",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "agent.name",
... |
44495480069 | from tkinter import *
import tkinter.messagebox
import sqlite3
import os.path
import sys
sys.path.append(os.path.abspath(os.path.dirname(__file__) + '/' + '../..'))
from HospitalManagementDBMS import settings
settings.init()
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
db_path = os.path.join(BASE_... | OsmanDsilva/HospitalManagementDBMS | src/update.py | update.py | py | 6,837 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "sys.path.append",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.path.abspath",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"l... |
7977557232 | '''
Several Models used for testing.
'''
import numpy as np
from scipy.sparse.csgraph import minimum_spanning_tree
from .blocks import get_demo_circuit, get_demo_circuit_v2
from .dataset import gaussian_pdf, barstripe_pdf, barstripe_wf
from .qcbm import QCBM
from .cloneqcbm import CloneQCBM, CloneGAN
from .mmd import... | RindJLU/Undergraduate-Thesis | Born_Machine/qcbm/testsuit.py | testsuit.py | py | 2,942 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "structure.nearest_neighbor",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "blocks.get_demo_circuit",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "dataset.gaussian_pdf",
"line_number": 27,
"usage_type": "call"
},
{
"api_name"... |
39952140157 | import math
from itertools import zip_longest
from typing import Type, Union, Set, List, Tuple
import networkx as nx
from networkx.classes.filters import no_filter
from weaveio.hierarchy import Multiple, Hierarchy, OneOf, Graphable
def normalise_relation(h):
if not isinstance(h, Multiple):
h = OneOf(h)
... | philastrophist/weave-io | weaveio/path_finding.py | path_finding.py | py | 18,618 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "weaveio.hierarchy.Multiple",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "weaveio.hierarchy.OneOf",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "typing.Type",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "ty... |
70607678303 | from lxml import etree
import json, data_getter, re
#获取公司名称、详情链接、ID
def companies_info(context):
"""
输入GET https://angel.co/companies/startups 得到的json数据
输出该页面中的公司详情地址
"""
context = context['html']
result = []
selector = etree.HTML(context)
#读取出详情页面地址
companies_page = ... | cOderrEy/spider_angel | spider/data_selector.py | data_selector.py | py | 8,373 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "lxml.etree.HTML",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "lxml.etree.HTML",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_num... |
21484370085 | """Entry point."""
import sys
import traceback
from docknv.logger import Logger, LoggerError
from docknv.wrapper import FailedCommandExecution, StoppedCommandExecution
from .custom import MalformedCommand
from .shell import Shell
def docknv_entry_point():
"""Entry point for docknv."""
shell = Shell()
... | sharingcloud/docknv | docknv/shell/main.py | main.py | py | 837 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "shell.Shell",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "shell.run",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "docknv.logger.LoggerError",
"... |
74391139103 |
from sqlalchemy.orm import Session
from sqlalchemy import and_
from fastapi import Depends, HTTPException, status, APIRouter, Response
from typing import Optional, List
import random
# from models.index import get_db, Student, Tutor #StudentCourse
# from schemas.user import UserFull as User, UserUpdate
# from schemas... | leyume/edutrack | backend/app/routes/students.py | students.py | py | 4,028 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "fastapi.Depends",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "models.index... |
6217842621 | import json
import os
import re
from dotenv import Dotenv
from flask import Flask
from flask import jsonify
from flask import redirect
from flask import render_template
from flask import request
from flask import send_from_directory
from flask import session
from functools import wraps
import requests
from auth0.v2.m... | Annyv2/auth0-exercise | server.py | server.py | py | 2,900 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "dotenv.Dotenv",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "flask.Flask",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "constants.PROFILE_KEY",
... |
38828064381 | """user uploaded songs
Revision ID: 84a79256c2e3
Revises: 69e6acb117e4
Create Date: 2022-04-28 18:00:43.142059
"""
from alembic import op
import sqlalchemy as sa
import sqlalchemy_utils
# revision identifiers, used by Alembic.
revision = '84a79256c2e3'
down_revision = '69e6acb117e4'
branch_labels = None
depends_on ... | NwaforAugustine321/ktizo-backend | alembic/versions/84a79256c2e3_user_uploaded_songs.py | 84a79256c2e3_user_uploaded_songs.py | py | 1,422 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "alembic.op.create_table",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sqlalchemy_utils... |
33236248352 | from django.shortcuts import render
# Create your views here.
def contact(request):
return render(request,'./first_app/index.html',{'courses': [
{
'id':1,'course':'C','teacher': 'Rahim'
},
{
'id':2,'course':'C++','teacher': 'Kahim'
},
{
'i... | asadaladil/DJANGO | third_project/first_app/views.py | views.py | py | 394 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.shortcuts.render",
"line_number": 5,
"usage_type": "call"
}
] |
19003189493 | import pandas as pd
import pathlib
from pathlib import Path
# Берет нужные ссылки из cards.csv.
# Take the necessary links
data_csv = Path(pathlib.Path.home(), 'projects', 'learn-web',
'utils', 'data_csv', 'cards.csv')
# Эта функция должна подставлять в запрос URL адресс в таком ввиде https://www.res... | AfrosamuraiNo1/RestorSaint | parsing/data_link.py | data_link.py | py | 789 | python | ru | code | 0 | github-code | 7 | [
{
"api_name": "pathlib.Path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pathlib.Path.home",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
}
] |
36506957625 | import pytesseract
import cv2
import pyautogui
import numpy
import re
import uuid
pytesseract.pytesseract.tesseract_cmd = 'C:/Users/John Chen/AppData/Local/Programs/Tesseract-OCR/tesseract.exe'
def Parser(NWCoordinate, boxSize): # Parses string from image and returns as array
pyautogui.screenshot('temp.png', regi... | JChen46/NW_Market_Scraper | Parser.py | Parser.py | py | 2,731 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "pytesseract.pytesseract",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pyautogui.screenshot",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.cvtCo... |
35134255854 | import pyttsx3
engine = pyttsx3.init("sapi5")
voice = engine.getProperty("voices")
engine.setProperty('voice',voice[0].id) # voice[1] will give different voice. only index 1 and 2 is permitted
def speak(msg):
engine.say(msg)
engine.runAndWait()
name = input("Enter the name: ")
speak(" Welcome ba... | janakiraam/fancy_Stuff_with_python | Voice.py | Voice.py | py | 338 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pyttsx3.init",
"line_number": 2,
"usage_type": "call"
}
] |
9723103667 | import sys
import time
from typing import cast
from cryptography import x509
import requests
from getssl.log import LoggerBase, DebugLogger, ConfigBase, Actor, StrDict
from getssl.certManager import CertManager, CertManagerConfig, KeyType
from getssl.dnspod import DNSPodClient, DNSPodConfig
from getssl.acme import ACM... | gyf1214/getssl.py | getssl.py | getssl.py | py | 4,579 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "getssl.log.ConfigBase",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "getssl.certManager.CertManagerConfig",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "getssl.dnspod.DNSPodConfig",
"line_number": 13,
"usage_type": "name"
},
{
... |
25216718190 | from typing import Any, List
import pickle
import numpy as np
import networkx as nx
TC_PAUSE = 3
FORWARD_DELAY = 2
class frameBPDUMST():
def __init__(self,
root_bid: str,
external_rpc: int,
region_root_bid: str,
internal_rpc: int,
bid: str,
send_port_id: int,
... | Artemmakanov/networks | mstp/utils.py | utils.py | py | 21,707 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "networkx.Graph",
"line_number": 533,
"usage_type": "call"
},
{
"api_name": "networkx.kamada_kawai_layout",
"line_number": 536,
"usage_type": "call"
},
{
"api_name": "networkx.draw_networkx_labels",
"line_number": 562,
"usage_type": "call"
},
{
"api_... |
38361933111 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed May 9 01:15:09 2018
@author: zhangtiangu
"""
from bs4 import BeautifulSoup
from selenium import webdriver
import os
from time import sleep
def download_data(ticker,freq="1d"):
if isinstance(ticker,str):
ticker = [ticker]
... | manajit04/Portfolio-Management | get_data.py | get_data.py | py | 2,386 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "os.getcwd",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "seleniu... |
71894534303 | from django.db import models
from ford3.models.sub_field_of_study import SubFieldOfStudy
from ford3.models.field_of_study import FieldOfStudy
from ford3.models.provider import Provider
from django.core.exceptions import ValidationError
class SAQAQualification(models.Model):
field_of_study = models.ForeignKey(
... | kartoza/ford3 | django_project/ford3/models/saqa_qualification.py | saqa_qualification.py | py | 4,081 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.db.models.Model",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.models.ForeignKey",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": ... |
23519849988 | from qubovert.sim import anneal_qubo
from qubovert import boolean_var
from src.anneals import Graph, HopBased, EdgeBased
from ttopt import TTOpt
import numpy as np
import matplotlib.pyplot as plt
import math
def norm_noise():
res = np.random.normal()
if res < 0:
return max(-2, res)
return min(2, r... | bicikar/anneal_ttopt | src/field.py | field.py | py | 11,344 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.random.normal",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "matp... |
11508201210 | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Author: Andreas Buttenschoen
import numpy as np
import sympy as syp
import datetime
from sympy import symbols, simplify, cancel, Function, Integral, srepr
from sympy.matrices import zeros, ones
from sympy.solvers.deutils import ode_order
from sympy import sympify, preorder_t... | adrs0049/funpy | funpy/colloc/source/compiler.py | compiler.py | py | 26,379 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "vectorspaces.Namespace",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "sympy.solvers.deutils.ode_order",
"line_number": 128,
"usage_type": "call"
},
{
"api_name": "NonlinearVectorFunctionSource.NonlinearVectorFunctionSource",
"line_number": 176,
... |
41054720044 | import os
from flask import Flask, send_file, request, render_template, redirect, url_for, send_from_directory
from flask_restful import Resource, Api, reqparse
import pandas as pd
import ast
from werkzeug.utils import secure_filename
from datetime import datetime
from mbk1 import process_excel
ALLOWED_EXTE... | AnAnYa0806/MarketBasketAnalysis | app.py | app.py | py | 1,723 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask_restful.Api",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "flask.request... |
25639513643 | from airflow import DAG
from airflow.contrib.operators.emr_add_steps_operator import EmrAddStepsOperator
from airflow.contrib.operators.emr_create_job_flow_operator import EmrCreateJobFlowOperator
from airflow.contrib.sensors.emr_job_flow_sensor import EmrJobFlowSensor
from airflow.contrib.sensors.emr_step_sensor impor... | oripwk/airflow-examples | emr_job_usage_example.py | emr_job_usage_example.py | py | 1,067 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "airflow.DAG",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "airflow.utils.dates.days_ago",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "emr_job_flow_with_sensor.EmrJobFlowWithSensor",
"line_number": 24,
"usage_type": "call"
},
{... |
14957945973 | # Convert a geotiff (.tiff/.tif) into a vertical list of xyz coordinates
# Can be used with the xyz2jpu.f90 to turn .geotiff into .jou for CUBIT use
#
# Rasterio module is easiest to access through Anaconda, or it can be installed
# through pip
#
# utm module can can be accessed through anaconda or it can be ins... | homnath/MeshAssist | src/geotiff2xyz.py | geotiff2xyz.py | py | 2,683 | python | en | code | 5 | github-code | 7 | [
{
"api_name": "math.pi",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "rasterio.open",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.fliplr",
"line_numbe... |
71443207583 | from numba import jit,int64,float64
import numpy as np
import time
import sys
class TailRecurseException(Exception):
def __init__(self, args, kwargs):
self.args = args
self.kwargs = kwargs
def tail_call_optimized(g):
"""
This function decorates a function with tail call
optimization.... | kasperlmc/learngit | job_all/factor_evaluation/numba_test_0.py | numba_test_0.py | py | 2,678 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "sys._getframe",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "numba.jit",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": ... |
2879372448 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import logging
from argparse import Namespace
from pathlib import Path
from typing import Optional
import click
import yaml
logger = logging.getLogger(__name__)
class Configuration(Namespace):
def __init__(self):
super(Configuration, self).__init__()
... | aliparlakci/bulk-downloader-for-reddit | bdfr/configuration.py | configuration.py | py | 3,115 | python | en | code | 2,113 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "argparse.Namespace",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "typing.Optional"... |
73246471263 | import bs4
import re
import requests
from common import config
from urllib.parse import urljoin
class Page:
def __init__(self, uuid_municipio) -> None:
self._config = config()['municipios'][uuid_municipio]
self._queries = self._config['queries']
self._url = self._config['url']
sel... | th3edger/download_mty_datasets | extract/page_object.py | page_object.py | py | 2,858 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "common.config",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_nu... |
37404839126 | #!/usr/bin/env python
# encoding: utf-8
# author: ryan_wu
# email: imitator_wu@outlook.com
import os
import sys
import json
import pickle
import numpy as np
import pandas as pd
import networkx as nx
import multiprocessing
import traceback
from tqdm import tqdm
from codes.utils.timedate_utils import TimeDateUtil
fro... | Mospymh/GL_learn | code/price_embedding.py | price_embedding.py | py | 3,261 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.abspath",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"l... |
3422357108 | from rest_framework.views import APIView
from rest_framework.response import Response
from image_convert.serializers import ImageConvertSerializer
from django.conf import settings
from .models import Image
import os
import shutil
class TextTransform(APIView):
@staticmethod
def post(request):
data = ... | apheyhys/file_convert | image_convert/views.py | views.py | py | 982 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "models.Image.objects.all",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "models.Image.objects",
"line_number": 22,
"usage_type": "attribute"
},
{
"a... |
40884980954 | from tkinter import*
# from PIL import Image,ImageTk
from tkinter import ttk ,messagebox
import sqlite3
# dk=Tk()
class productClass:
def __init__(self,dk):
self.dk=dk
self.dk.geometry("1100x500+220+130")
self.dk.title("Inventory Management System | by dk")
self.dk.config(... | DebabrataKarfa2022s/Inventory-Management-System- | product.py | product.py | py | 13,968 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "tkinter.ttk.Combobox",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "tkinter.ttk",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "tkinter.ttk.Combobox",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "tkinter.ttk",
... |
1492750017 | import numpy as np
import torch
import matplotlib.pyplot as plt
from scipy import signal
import numpy as np
import time
import csv
coef = 6
width = 200*coef
def bit_signal(t):
return signal.square(t).astype('float64')
np.random.seed(2)
T = 2
L = 500
N = 10
#x = np.empty((N, L), 'int64')
#x[:] = np.array(ra... | hiraikaen/ics_cnn_basic | generate_signals.py | generate_signals.py | py | 9,145 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "scipy.signal.square",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "scipy.signal",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "numpy.random.seed",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.random",
... |
40393184490 | import sys
import re
import json
import subprocess
import io
import zipfile
from traceback import print_exc
from pathlib import Path
from contextlib import contextmanager
from threading import Thread, Event
from http.server import HTTPServer, BaseHTTPRequestHandler
from SCons.Errors import UserError
Import("env")
d... | touilleMan/godot-python-install-manager | tests/SConscript | SConscript | 17,287 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "io.BytesIO",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "zipfile.ZipFile",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "zipfile.ZIP_STORED",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
... | |
38351807896 | # vim:set et sts=4 sw=4:
#
# python -m testime.batch
import unittest
import sys
import json
from PySide2.QtCore import QObject, qDebug, QEventLoop
from PySide2.QtWidgets import QApplication
from testime.IBusDriver import IBusDriver
from testime.FcitxDriver import FcitxDriver
from testime.keyboard import KeycodeToKey... | seoyoungjin/testime | test/batch_test.py | batch_test.py | py | 5,487 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "PySide2.QtWidgets.QApplication.instance",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "PySide2.QtWidgets.QApplication",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "dbus.mainloop.glib.DBusGMainLoop",
"line_number": 25,
"usage_type"... |
32867941764 | import matplotlib.pyplot as plt
import numpy as np
import helper as hlp
plt.xkcd()
plt.grid(True)
title1 = 'Example8. Nagy p.190'
#====================
va = [1, 0, 4]
#c=0
b = 1
IC0 = [0, 0]
t0 = 0
tb = 10
N = 100
#====================
def y_ex(t):
return 0.5*(hlp.heaviside(t-np.pi)-hlp.heaviside(t-2*np.pi))*np.si... | stdapproach/sciArticle | ODE_Delta/raw/example8.py | example8.py | py | 506 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "matplotlib.pyplot.xkcd",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.grid",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotl... |
73364509343 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from absl import flags
import tensorflow as tf
from tensorflow_examples.models.pix2pix import data_download
from tensorflow_examples.models.pix2pix import pix2pix
FLAGS = flags.FLAGS
class Pix2PixTest(tf.t... | JC-78/practice-self_improvement | AnimeCycleGAN/src/pix2pix/pix2pix_test.py | pix2pix_test.py | py | 2,266 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "absl.flags.FLAGS",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "absl.flags",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "tensorflow.test",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.rand... |
25257939834 | import datetime
from django.test import TestCase
from django.utils import timezone
from django.urls import reverse
from .models import Question
"""
a separate TestClass for each model or view
a separate test method for each set of conditions you want to test
test method names that describe their function
"""
# to ... | lollinng/Django_demo | polls/tests.py | tests.py | py | 5,563 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.test.TestCase",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "django.utils.timezone.now",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "django.utils.timezone",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "... |
34012098207 | ###
### <INCOMPLETE WORK>
###
### Iteration #2: attempt to separate ../face-req-v1/ logic into two parts and use threads
### - Face Recognition handled in ./img_processing.py
### - Communication with MQTT and WebSocket as in ../face-req-v1/
###
import logging
import time
import aiohttp
from aiohttp import web
imp... | nembrinj/protofablab | 2022/projects/05_robotButlerThemedService/Pi/face-req-v2/teddyCtrlProcessing.py | teddyCtrlProcessing.py | py | 5,566 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "aiohttp.web.WebSocketResponse",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "aiohttp.web",
"line_number": 79,
"usage_type": "name"
},
{
"api_name": "aiohttp.WSMsgType",
"line_number": 84,
"usage_type": "attribute"
},
{
"api_name": "aioh... |
23174862871 |
import pandas as pd
import numpy as np
from sklearn import datasets
from sklearn.model_selection import train_test_split
from keras.models import Sequential
from keras.layers import Layer, Dropout, Input, Dense
from sklearn.metrics import accuracy_score, confusion_matrix, ConfusionMatrixDisplay
url = 'C:/Users/johnn... | Johnny-DF26/Deep_Learning | Classificação Binária/breast_cancer_simples.py | breast_cancer_simples.py | py | 1,634 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sklearn.datasets.load_breast_cancer",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "... |
25625041303 | #!/usr/bin/python
# -*- coding: utf-8 -*-
""" Annotations for instance attributes, functions arguments, etc.
"""
import sys
import operator
import collections.abc
import logging
import typing
logging.getLogger().addHandler(logging.NullHandler())
T = typing.TypeVar('T') # pylint: disable=invalid-name
@typing.runt... | StanleySane/sane-finances | src/sane_finances/annotations.py | annotations.py | py | 12,766 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.NullHandler",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "typing.TypeVar",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "typing.Protocol"... |
19795684866 | """
The web application which will interact with users and control the underlying hardware
# https://towardsdatascience.com/python-webserver-with-flask-and-raspberry-pi-398423cc6f5d
"""
import datetime
from flask import Flask, render_template
from relay import Relay
from tempsensor import TemperatureSensor
flaskApp... | pvphan/jitters | src/jitterserver.py | jitterserver.py | py | 1,872 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tempsensor.TemperatureSensor",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "relay.Relay",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "relay.Relay",
... |
7723548603 | import os
import argparse
from PIL import Image
from tqdm import tqdm
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import Dataset
from torchvision.models import inception_v3
from torchvision import transforms
from torch.utils.data import DataLoader
class ImageDataset(Datas... | tf63/scfg-diffusion | tests/inception_score.py | inception_score.py | py | 3,197 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "os.listdir",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_... |
7501992129 | import codecs
from collections import Counter
import os
import glob
from textblob import TextBlob as tb
import math
def tf(word, blob):
return (float)(blob.words.count(word)) / (float)(len(blob.words))
def n_containing(word, bloblist):
return sum(1 for blob in bloblist if word in blob.words)
def idf(word, bloblist... | alchemist009/ML_musings | NaiveBayes/NaiveBayeswithtfidf.py | NaiveBayeswithtfidf.py | py | 3,040 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "math.log",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "codecs.open",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "textblob.TextBlob",
"line_number":... |
24559997817 | """Sagemaker InvokeEndpoint API."""
import io
import json
from abc import abstractmethod
from typing import Any, Dict, Generic, Iterator, List, Mapping, Optional, TypeVar, Union
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
from langchain_core.pydanti... | langchain-ai/langchain | libs/community/langchain_community/llms/sagemaker_endpoint.py | sagemaker_endpoint.py | py | 13,193 | python | en | code | 68,990 | github-code | 7 | [
{
"api_name": "typing.TypeVar",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "typing.Union",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.TypeVar",
"line_nu... |
14493321108 | from typing import List, Optional
from fastapi import APIRouter, Depends
from sqlalchemy.orm import Session
from app.api.depends import get_db
from app.schemas.appointments import Appointments, AppointmentsCreate, AppointmentsUpdate, AppointmentsRequest
from app.service import appointments_service, medcard_service
r... | nvlasikk/back-for-send | app/api/endpoints/appointments.py | appointments.py | py | 1,719 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "fastapi.Depends",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "app.api.depe... |
19905114066 | # Emote Trainer Wrapper / Mass Analyzer
# Command line interface for mass analysis for Emote, and to train Emote's classification system using TextBlob's API
# Note: Training features have not yet been implemented yet
# All that's really working is mass analyzing text files through the CLI
#!/usr/bin/python
# -*- codi... | RaunakDune/emoter | emoter/emote_trainer_wrapper.py | emote_trainer_wrapper.py | py | 11,733 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.getcwd",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 71,
"usage_type": "attribute"
},
{
"api_name": "csv.reader",
"line_number": 9... |
33860123913 | import pandas as pd
import plotly.graph_objects as go
import plotly.subplots as sp
import webbrowser
import os
# Path to the dataset
file_path_ufos = "/Users/maz/Desktop/UFOs/ufo_sighting_data.csv"
# Read the dataset
df = pd.read_csv(file_path_ufos, low_memory=False)
# Convert the 'latitude' column to numeric
df['la... | DocMaz/UAP_Data | map.py | map.py | py | 1,812 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.to_numeric",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "plotly.subplots.make_subplots",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "plotl... |
41775938548 | from django.shortcuts import render
# Create your views here.
from re import I
from django.shortcuts import render
# Create your views here.
import json
from os import stat
from urllib import response
from django.shortcuts import render
import facilities
# Create your views here.
from .serializers import *
from res... | mohamadch91/inventory | back-end/settings/views.py | views.py | py | 4,090 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "rest_framework.permissions.IsAuthenticated",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "rest_framework.response.Response",
"line_number": 37,
"usage_type... |
13282882826 | import json
import os, signal
import psutil
import time
from cilantro_ee.cli.utils import restart
from cilantro_ee.cli.start import start_mongo
def check_pid(pid):
""" Check For the existence of a unix pid. """
try:
#signal 0 just checks for pid status
os.kill(pid, 0)
except OSError:
... | Lamden/cilantro-enterprise | scripts/auto_restart.py | auto_restart.py | py | 1,383 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "os.kill",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "psutil.process_iter",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "os.kill",
"line_number": 4... |
70252022625 | import numpy as np
import torch
import torch.nn as nn
from copy import deepcopy
from typing import Dict, Union, Tuple
from offlinerlmoup.policy import BasePolicy
from torch.nn import functional as F
from offlinerlmoup.dynamics import BaseDynamics
deta = 10000
class SACPolicy(BasePolicy):
def __init__(
se... | dcph/MOUP | build/lib/offlinerlmoup/policy/model_free/sac.py | sac.py | py | 11,439 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "offlinerlmoup.policy.BasePolicy",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "torch.nn.Module",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "torch.n... |
27467209844 | import json
import paho.mqtt.client as mqtt
from flask import Flask, request, render_template, jsonify
import sqlite3 as sql
#create the format for the table
TableSchema="""
drop table if exists Wind_Turbine_Data ;
create table Wind_Turbine_Data (
DayNumber integer primary key autoincrement,
WindSpeed text,
Ene... | biv147/3-Tier-IoT-Architecture | app.py | app.py | py | 3,255 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sqlite3.connect",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sqlite3.complete_statement",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "json.loads",
... |
73074889822 | from django.shortcuts import render
from django.http import JsonResponse
from .exceptions import UserDataException
import logging
from .services import (main_service,
get_list_messages_service,
get_one_message_service)
logger = logging.getLogger(__name__)
def main(reque... | DmitriiGrekov/temp_mail | temp_mail/core/views.py | views.py | py | 1,288 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "services.main_service",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "servi... |
71668282463 | from django.urls import path
from engine.tasks.views import *
urlpatterns = [
path('create', TaskCreateView.as_view(), name='create-task'),
path('delete/<int:pk>', TaskDeleteView.as_view(), name='delete-task'),
path('update/<int:pk>', TaskUpdateView.as_view(), name='update-task'),
path('read/<int:pk>... | amyard/Django-General | ToDo/engine/tasks/urls.py | urls.py | py | 432 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
6511741255 | import serial
import numpy as np
import matplotlib.pyplot as plt
import time as t
import paho.mqtt.client as paho
serdev = '/dev/ttyUSB0'
s = serial.Serial(serdev, 9600)
mqttc = paho.Client()
host = "localhost"
port = 1883
# MQTT Callbacks
def on_connect(self, mosq, obj, rc):
print("Connected rc: " + str(r... | Barry-Sung/exam03 | velocity.py | velocity.py | py | 2,427 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "serial.Serial",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "paho.mqtt.client.Client",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "paho.mqtt.client",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "numpy.arange",
... |
43404908338 | import seaborn as sns
import pandas as pd
import matplotlib.pyplot as plt
import requests
import io
import math
from scipy import stats
import numpy as np
import researchpy as rp
import statsmodels.api as sm
import pprint
# -----------------------------------------------------------------------------
# --... | CarlosCanut/PracticasCienciaDeDatos | practica_3.py | practica_3.py | py | 28,775 | python | es | code | 0 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "io.StringIO",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pprint.pprint",
"line_nu... |
39258959342 | from __future__ import print_function
import sys
import re
from csv import reader
from operator import add
from pyspark import SparkContext
def replace_blank(row):
for index in range(0, 24):
if row[index] == '':
row[index] = 'UNDEFINED'
return row
def dump_csv(row):
line = ""
for ... | shiyanch/DataInsights | scripts/cleaning/spark_replace_blank_columns.py | spark_replace_blank_columns.py | py | 894 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sys.argv",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "pyspark.SparkContext",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"li... |
71355465183 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import configparser
'''
#生成一个配置文件
config = configparser.ConfigParser()
config["DEFAULT"] = {'ServerAliveInterval': '45',
'Compression': 'yes',
'CompressionLevel': '9'}
config['bitbucket.org'] = {}
config['bitbucket.org']['User'] ... | daniel-vv/ops | S12/day6/configparse_module.py | configparse_module.py | py | 1,436 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 24,
"usage_type": "call"
}
] |
871580602 | from __future__ import annotations
from logging import getLogger
from typing import Any, Dict, List, Mapping, Optional, Sequence, Set, Union
from buildarr.config import RemoteMapEntry
from buildarr.types import NonEmptyStr
from pydantic import Field, validator
from typing_extensions import Annotated, Self
from ...ap... | buildarr/buildarr-sonarr | buildarr_sonarr/config/profiles/quality.py | quality.py | py | 16,007 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "types.SonarrConfigBase",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "buildarr.types.NonEmptyStr",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "t... |
74275774622 | import re
from django import forms
from mongoengine import *
from mumblr.entrytypes import EntryType, Comment, markup
class HtmlComment(Comment):
"""An HTML-based entry, which will be converted from the markup language
specified in the settings.
"""
rendered_content = StringField(required=True)
cl... | hmarr/django-mumblr | mumblr/entrytypes/core.py | core.py | py | 4,681 | python | en | code | 255 | github-code | 7 | [
{
"api_name": "mumblr.entrytypes.Comment",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "mumblr.entrytypes.EntryType",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "mumblr.entrytypes.markup",
"line_number": 28,
"usage_type": "call"
},
{
"api... |
38743480115 | """ Imports from django, bouquet and category models. """
from django.contrib.admin import ModelAdmin
from django.contrib import admin
from .models import Bouquet, Category
@admin.register(Bouquet)
class BouquetAdmin(ModelAdmin):
"""
Bouquet model view on django admin.
"""
list_display = (
'n... | JPatel87/blossoming-bouquets | bouquets/admin.py | admin.py | py | 576 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.register",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "models.Bouquet",
"line_number": 7,
"usage_type": "argument"
},
{
"api... |
17051042903 | from lstore.table import Table, Record
from lstore.index import Index
from datetime import datetime
from lstore.config import *
class Query:
"""
# Creates a Query object that can perform different queries on the specified table
Queries that fail must return False
Queries that succeed should return the... | Ranxin2023/ECS-165A | lstore/query.py | query.py | py | 11,121 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "lstore.index.Index",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "lstore.tab... |
24560032787 | from __future__ import annotations
from typing import Any, Dict, Iterator, List, Optional
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
from langchain_core.outputs import GenerationChunk
from langchain_core.pydantic_v1 import BaseModel, Field, root_v... | langchain-ai/langchain | libs/community/langchain_community/llms/volcengine_maas.py | volcengine_maas.py | py | 6,314 | python | en | code | 68,990 | github-code | 7 | [
{
"api_name": "langchain_core.pydantic_v1.BaseModel",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typin... |
42451852095 | """
Author: Daniel Fink
Email: daniel-fink@outlook.com
"""
import enum
import numpy as np
from calculation.aggregator import AggregatorType, AggregatorFactory
from calculation.attributeComparer import AttributeComparerType, AttributeComparerFactory
from calculation.elementComparer import ElementComparerFactory, Elem... | IndikaKuma/quantum | qhana_openapi/dataPreparation/calculation/entityComparer.py | entityComparer.py | py | 9,472 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "enum.Enum",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "calculation.aggregator.AggregatorType.mean",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "calculation.aggregator.AggregatorType",
"line_number": 32,
"usage_type": "... |
43191782475 | import os
import json
import time
from google.cloud import pubsub_v1
publisher = pubsub_v1.PublisherClient()
GCP_PROJECT = os.environ.get('GCP_PROJECT')
def stream_event(topic_name, event_type, event_context):
"""
Helper function for publishing an event.
Parameters:
topic_name (str): The name of... | GoogleCloudPlatform/serverless-store-demo | app/helpers/eventing/helpers.py | helpers.py | py | 762 | python | en | code | 178 | github-code | 7 | [
{
"api_name": "google.cloud.pubsub_v1.PublisherClient",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "google.cloud.pubsub_v1",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "os.environ.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_nam... |
43515063836 | from rest_framework import serializers
from django.db.models import Sum
import datetime
from models import TaskDetail, TaskGroup, Task
class TaskSerializer(serializers.ModelSerializer):
task_group_name = serializers.SlugField(source='task_group.name', read_only=True)
week_hours = serializers.SerializerMethod... | naviens/TaskTracker | web/src/task_tracker/serializers.py | serializers.py | py | 1,877 | python | en | code | 0 | github-code | 7 | [
{
"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": "rest_framework.serializers.SlugField",
"line_number": 9,
"usage_... |
14174701370 | import os
import sys
import yaml
import time
import shutil
import torch
import random
import argparse
import datetime
import numpy as np
import torch.nn as nn
import torch.nn.functional as F
import torchvision.models as models
from torch.utils import data
from tqdm import tqdm
from ptsemseg.models import get_model
fr... | MSiam/AdaptiveMaskedProxies | train.py | train.py | py | 7,526 | python | en | code | 102 | github-code | 7 | [
{
"api_name": "torch.backends",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "torch.manual_seed",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "torch.cuda.manual_seed",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "torch.cu... |
18469412794 | # -*- coding:utf-8 -*-
def solve(n, points, points_len):
from collections import defaultdict
nums_dict = defaultdict(list)
for i in range(points_len):
a, b = points[i]
nums_dict[a].append(b)
nums_dict[b].append(a)
# print(nums_dict)
ans = 0
for i in range(1, n + 1):
... | weizhixiaoyi/leetcode | nowcoder/company/0823-腾讯/04.py | 04.py | py | 798 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "collections.defaultdict",
"line_number": 5,
"usage_type": "call"
}
] |
108863381 | import numpy as np
import cv2
face_cascade = cv2.CascadeClassifier('/home/shaxpy/Desktop/haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('/home/shaxpy/Desktop/haarcascade_eye.xml')
banana_cascade=cv2.CascadeClassifier('/home/shaxpy/Desktop/cascade.xml')
font=cv2.FONT_HERSHEY_PLAIN
cap = cv2.... | Shaxpy/Computer-Vision | Banana Classifier/Detect a banana.py | Detect a banana.py | py | 1,447 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "cv2.CascadeClassifier",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.FO... |
19424045380 | # -*- coding:utf-8 -*-
# !bin/python/even
# author:pzq
import requests
from requests import RequestException
import json
from multiprocessing import Pool
import csv
class Moc:
def __init__(self):
# -------------------------------------------------------------------- 课程信息 ---------------------... | pzq7025/Spider | post_mooc.py | post_mooc.py | py | 8,505 | python | en | code | 6 | github-code | 7 | [
{
"api_name": "requests.post",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "requests.RequestException",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "requests.post",
... |
32754921271 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from keras.layers import Input, Dense
from keras.models import Model
import matplotlib.pyplot as plt
import numpy as np
if __name__ == '__main__':
# Some variables
batch_size = 32
epochs = 20
loss = 'binary_crossentropy'
optimizer = 'adam'
valida... | KDercksen/hunter2_fashion | scripts/multilabel_nn.py | multilabel_nn.py | py | 1,142 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "numpy.random.random",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "keras.layers.Input",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "keras.layers... |
38097447023 | #!/usr/bin/python3
import asyncio
import json
import os
import re
import subprocess
from abc import ABC
from configparser import ConfigParser
from ipaddress import IPv4Address
from os import getpid
from pathlib import Path
from pprint import pp
from tempfile import TemporaryDirectory
from typing import ClassVar, Optio... | WH-2099/dst-server | entrypoint.py | entrypoint.py | py | 13,901 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.dup2",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.close",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.set_inheritable",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.pipe",
"line_number": 34,
... |
8607493507 | from django.core.management import BaseCommand, CommandError
from users.models import AuthUser
from products.models import Products, Category, ProductCategories
import os
import json
def get_category_list():
with open(os.path.join('data', 'categories.json')) as categories_file:
category_list = json.load(c... | ciurezbogdan/Bogdans_shop | products/management/commands/import_data.py | import_data.py | py | 2,493 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.core.management.BaseCommand"... |
37220988535 | import pygame
from engine.math.vector import Vector2
from engine.errors.invalid_argument_exception import InvalidArgumentException
class SpriteSheet(object):
def __init__(self, file_name: str, width: int = None, height: int = None):
self.sprite_sheet = pygame.image.load(file_name).convert_alpha()
... | XCPika/Space-Game | engine/image/sprite_sheet.py | sprite_sheet.py | py | 1,208 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pygame.image.load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "engine.errors.invalid_argument_exception.InvalidArgumentException",
"line_number": 10,
"usage_type": "c... |
5466165217 | import os
import glob
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
# sns.set(style="darkgrid") #这是seaborn默认的风格
sns.set_palette("muted") #常用
# Plot 超参数 图
path = './serverdata/nms'
hyparameter ='soft'
hyp_files =glob.glob('{}/*{}*.txt'.format(path,hyparameter))
hyps =[];mAPs=[];aps0=[];aps... | Shengjie-bob/Face_Mask_Detection | code/MobileNetV2-SSD-lite/softnms.py | softnms.py | py | 1,373 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "seaborn.set_palette",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.float",
"line_numb... |
24337384026 | from multiprocessing import Process
from worker.base_worker import BaseWorker
class MultiWorker(BaseWorker):
def __init__(
self, envs, policy_network, num_worker, buffer=None, value_network=None
):
super().__init__(policy_network, buffer, value_network)
self.envs = envs
self.n... | isk03276/RLwithIL | worker/multi_worker.py | multi_worker.py | py | 1,529 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "worker.base_worker.BaseWorker",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "multiprocessing.Process",
"line_number": 14,
"usage_type": "call"
}
] |
30684331488 | ''' This program takes 1 argument = DataFile. It will parse file and present data in 2d Array
DataParse['Make'] = [Year][Image]
Duplicate Images are stored as seperate values
'''
import re
import linecache
from collections import defaultdict
class DataParse:
def __init__(self, inputFile):
self.fil... | themadvtak/Data-Mount | DataParser.py | DataParser.py | py | 2,893 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "re.findall",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "linecache.getline",
"line_number": 49,
"usage_type": "call"
}
] |
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