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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
70965223549 | ### THEORETICAL PROBABILITY ###
# For the following problems, use python to simulate the problem and calculate an experimental probability, then compare that to the theoretical probability.
from scipy import stats
import numpy as np
# Grades of State University graduates are normally distributed with a mean of 3.0 a... | crisgiovanoni/statistics-exercises | probability_distributions.py | probability_distributions.py | py | 9,018 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "scipy.stats.norm",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "scipy.stats",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "numpy.random.normal",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"... |
18361449182 | from rest_framework import serializers
from .models import *
class UserSerializer(serializers.ModelSerializer):
password = serializers.CharField(write_only=True)
def create(self, validated_data):
user = User.objects.create(
username=validated_data['username'],
email=validated... | raulfanc/gradebook_backend | gradebook_app/serializers.py | serializers.py | py | 2,626 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.CharField",
"line_number": 7,
"usage_... |
26024379550 | # 积分守恒型 Lax - Friedrichs 格式
# 导入所需要的模块
import numpy as np
from fealpy.decorator import cartesian
from scipy.sparse import diags
from scipy.sparse import csr_matrix
from typing import Union,Tuple,List # Union: 将多个集合合并为一个集合
from scipy.sparse.linalg import spsolve
import matplotlib.pyplot as plt
from fealpy.mesh import... | suanhaitech/pythonstudy2023 | python-jovan/Numerical solution of differential equation/hyperbolic/test_exp2.py | test_exp2.py | py | 3,132 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "typing.Union",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number... |
25442443781 | import pygame
from . import view
from . import render
from . import callback
from . import button
HORIZONTAL = 0
VERTICAL = 1
SCROLLBAR_SIZE = 12
class ScrollbarThumbView(view.View):
"""Draggable thumb of a scrollbar."""
def __init__(self, direction):
size = SCROLLBAR_SIZE
view.View.__init__(... | jwayneroth/mpd-touch | pygameui/scroll.py | scroll.py | py | 14,197 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "pygame.Rect",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pygame.K_DOWN",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "pygame.K_UP",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "pygame.K_RIGHT",
... |
74977722427 | import logging
from ontobio.io.gafparser import GafParser
from dipper.sources.Source import Source
from dipper.models.assoc.Association import Assoc
from dipper.models.Model import Model
from dipper.models.Reference import Reference
__author__ = 'timputman'
LOG = logging.getLogger(__name__)
class RGD(Source):
... | monarch-initiative/dipper | dipper/sources/RGD.py | RGD.py | py | 4,818 | python | en | code | 53 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "dipper.sources.Source.Source",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "ontobio.io.gafparser.GafParser",
"line_number": 91,
"usage_type": "call"
},
{
"api... |
70281057148 | from typing import List, Iterable
from torch.utils import data
from allennlp.common.registrable import Registrable
from allennlp.data.samplers.bucket_batch_sampler import BucketBatchSampler
from allennlp.data.samplers.max_tokens_batch_sampler import MaxTokensBatchSampler
"""
Duplicates of the pytorch Sampler classes.... | esteng/ambiguous_vqa | models/allennlp/data/samplers/pytorch_samplers.py | pytorch_samplers.py | py | 7,387 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "allennlp.common.registrable.Registrable",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.Iterable",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "allennlp.common.registrable.Registrable",
"line_number": 26,
"usage_type": "name"... |
72708100028 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2022/8/13 15:04
# @Author : 0x00A0
# @File : main.py
# @Description : TKINTER窗口程序
import asyncio
import multiprocessing
import os
import re
import shutil
import sys
import threading
import time
import tkinter
from tkinter import filedialog, messagebox
from... | 0x00A0/FaceAge | main.pyw | main.pyw | pyw | 6,807 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "shutil.rmtree",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.mkdir",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "tkinter.Frame",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 5... |
20123867357 | import requests
import json
from collections import OrderedDict
target = "static/data/words_cached.json"
words_cached = json.loads(requests.get("http://mnemonic-si.appspot.com/api/words").text)
open(target, "w").write(json.dumps(words_cached, indent=4))
print("wrote to %s" % target)
words = OrderedDict({})
for word i... | flowcoin/mnemonic | frontend/scripts/dump_words.py | dump_words.py | py | 1,010 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "json.loads",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_n... |
21568994484 |
import torch
import torchvision.datasets
from torch.utils.data import DataLoader
from torch.utils.tensorboard import SummaryWriter
# 相对路径为相对于当前工程的
dataset = torchvision.datasets.CIFAR10("./PyTorch/data", train=True, transform=torchvision.transforms.ToTensor(), download=True, )
dataloader = DataLoader(dataset, 64)
# 打... | puzhiyuan/AutonomousDriving | PyTorch/src/TensorBoard.py | TensorBoard.py | py | 761 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "torchvision.datasets.datasets.CIFAR10",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torchvision.datasets.datasets",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torchvision.datasets",
"line_number": 8,
"usage_type": "name"
},... |
38857299042 | from django.db.utils import IntegrityError
from spyne.error import ResourceNotFoundError, ResourceAlreadyExistsError
from spyne.model.complex import Iterable
from spyne.model.primitive import Integer
from spyne.protocol.soap import Soap11
from spyne.application import Application
from spyne.decorator import rpc
from s... | Vixx-X/SOAP-REST-MICROSERVICES | SOAP/soap/soap/apps/soap/views.py | views.py | py | 1,975 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "spyne.util.django.DjangoService",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "json.dumps",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "models.Submission.objects.create",
"line_number": 27,
"usage_type": "call"
},
{
"api_n... |
28670801665 | from os import close
from numpy.lib.npyio import NpzFile
import pandas as pd
import os
import tqdm
import re
import numpy as np
from sklearn.linear_model import LinearRegression
import matplotlib.pyplot as plt
from sklearn.metrics import r2_score
from scipy import stats
Folder_Path = r'C:\Users\hp\Desktop\wdpashp\wdpa... | HaoweiGis/EarthLearning | tools/LightPollution/LightPollution2.py | LightPollution2.py | py | 9,858 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numb... |
2083516856 | import csv
import json
from collections import OrderedDict
from pathlib import Path
from typing import Any, List, Optional, Union
import torch
from pytorch_lightning import LightningModule, Trainer
from src.utils import pylogger
log = pylogger.get_pylogger(__name__)
def process_state_dict(
state_dict: Union[Or... | gorodnitskiy/yet-another-lightning-hydra-template | src/utils/saving_utils.py | saving_utils.py | py | 7,154 | python | en | code | 128 | github-code | 6 | [
{
"api_name": "src.utils.pylogger.get_pylogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "src.utils.pylogger",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "colle... |
11964989637 | from django.urls import path
from .views import *
app_name = 'blog'
urlpatterns = [
path('', posts_list, name='post_list'),
path('tag/<slug:tag_slug>', posts_list, name='post_list_by_tag'),
# path('', PostsList.as_view(), name='post_list'),
path('p/<slug:slug>/<int:year>/<int:month>/<i... | black15/django-blog-v2 | blog/urls.py | urls.py | py | 500 | python | en | code | 2 | github-code | 6 | [
{
"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": 10,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
41389643477 | from ciscoconfparse import CiscoConfParse
import hashlib
import difflib
class audit:
def configuration_must_have(self,input_parent,input_config,show_command_output,show_command):
audit = False
actual_child_config = "No Configuration Found: {}".format(input_config)
parent_config = ""
... | johnanthonyraluta/Port_Mapping | Resources/cisco/ios_xr/audit.py | audit.py | py | 2,484 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "ciscoconfparse.CiscoConfParse",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "hashlib.sha224",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "hashlib.sha224",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "difflib.D... |
10713095984 | from typing import Set
from pychu.tlogic.tcards import Card
from pychu.tpattern.multiples import TMultiFinder
from pychu.tpattern.tpatternfinder import TPatternFinder
def find_bombs(cards):
buffer = []
out = []
first = True
for card in cards:
if first:
first = False
b... | akkurat/tichu | python/src/pychu/tpattern/bombs.py | bombs.py | py | 830 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pychu.tpattern.tpatternfinder.TPatternFinder",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "typing.Set",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "pychu.tlogic.tcards.Card",
"line_number": 28,
"usage_type": "name"
},
{
"... |
24325824848 |
import cv2
import numpy as np
from scipy.ndimage.measurements import label
from code.features import FeatureExtractor
from collections import deque
HEAT_INCREMENT = 10
class VehicleDetector:
def __init__(self, svc, scaler, n_rows, n_cols, config, buffer_size = 8):
self.svc = svc
... | olasson/SDCND-T1-P5-VehicleDetection | code/detect.py | detect.py | py | 5,703 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "code.features.FeatureExtractor",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "cv2.INTER_AREA",
"line_number": 53,
"usage_type": "attribute"
},
{
"api_name": "... |
70322594108 | """remove_product_rating_score
Revision ID: 177cf327b079
Revises: acf2fa2bcf67
Create Date: 2023-05-26 14:43:55.049871
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = "177cf327b079"
down_revision = "acf2fa2bcf67"
branch_labels = None
depends_on = None
def upg... | ttq186/DressUp | alembic/versions/2023-05-26_remove_product_rating_score.py | 2023-05-26_remove_product_rating_score.py | py | 741 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "alembic.op.drop_column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "alembic.op.add_column",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "alembic.op",
... |
4333793200 | # ruff: noqa: FBT001
# note: only used items are defined here, with used typing
import sys
from typing import Iterator, Optional, Sequence, TypeVar
from xml.etree.ElementTree import Element, ParseError
if sys.version_info < (3, 8): # pragma: no cover
from typing_extensions import Protocol
else: # pragma: no cov... | Rogdham/bigxml | stubs/defusedxml/ElementTree.pyi | ElementTree.pyi | pyi | 858 | python | en | code | 17 | github-code | 6 | [
{
"api_name": "sys.version_info",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "typing.TypeVar",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "typing.Protocol",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Optional",... |
39275871070 | import sys
import time
import traceback
from datetime import datetime
import random
import re
from decimal import Decimal
import numexpr
from typing import List, Dict
import disnake
from disnake.ext import commands, tasks
from disnake import ActionRow, Button
from disnake.enums import OptionType
from disnake.app_comm... | wrkzcoin/TipBot | wrkzcoin_tipbot/cogs/mathtip.py | mathtip.py | py | 26,213 | python | en | code | 137 | github-code | 6 | [
{
"api_name": "disnake.ui",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "disnake.ui",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "disnake.Message",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "typing.Dict",
... |
10422855793 | import dataclasses
import io
import logging
import math
import shutil
import tempfile
from pathlib import Path
import discord
import graphviz
import PIL.Image
from discord import Embed
from discord.ext.commands import Context, Converter
from PIL import ImageDraw
from randovania.game_description import default_databas... | randovania/randovania | randovania/server/discord/database_command.py | database_command.py | py | 16,089 | python | en | code | 165 | github-code | 6 | [
{
"api_name": "randovania.game_description.db.area.Area",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "discord.ui",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 27,
"usage_type": "call"
},
{
"ap... |
21686337671 | import argparse
import mmread_utils as mmu
import pickle as pkl
def parse_annots(fn):
"""
Columns are:
* 0 - run_barcode
* 1 - cell_ontology_class
* 17 - tissue
"""
annots_dict = {}
for i, line in enumerate(open(fn)):
if i == 0: continue
line = line.split(',')
... | dobinlab/STARsoloManuscript | splicing/make_mmu_pkl.py | make_mmu_pkl.py | py | 3,304 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "mmread_utils.load_all_gene_counts",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "mmread_utils.get_all_sjs",
"line_number": 90,
"usage_type": "call"
},
{
... |
13279743396 | import datetime
import matplotlib.pyplot as plt
import matplotlib.dates
import pandas as pd
import numpy as np
import os.path
class Graphs:
def __init__(self, data_base):
self.data_base = data_base
def overall_results_per(self):
correct = self.data_base["correct"].sum() / len(self.data_bas... | jlcoto/der_die_das | grapher_gen_results.py | grapher_gen_results.py | py | 10,304 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 37,
"usage_type": "call"
},
{
"api_name"... |
36294713470 | # 2016년 1월 1일은 금요일입니다. 2016년 a월 b일은 무슨 요일일까요? 두 수 a ,b를 입력받아 2016년 a월 b일이 무슨 요일인지 리턴하는 함수, solution을 완성하세요. 요일의 이름은 일요일부터 토요일까지 각각 SUN,MON,TUE,WED,THU,FRI,SAT
# 입니다. 예를 들어 a=5, b=24라면 5월 24일은 화요일이므로 문자열 "TUE"를 반환하세요.
# 제한 조건
# 2016년은 윤년입니다.
# 2016년 a월 b일은 실제로 있는 날입니다. (13월 26일이나 2월 45일같은 날짜는 주어지지 않습니다)
# jan = 31
# ... | minkimhere/algorithm_python | 13_2016.py | 13_2016.py | py | 1,324 | python | ko | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime",
"line_number": 39,
"usage_type": "call"
}
] |
70128173308 | """ Main Qt widget and file as well. """
import sys
from PySide6.QtWidgets import QApplication, QWidget, QPushButton, QHBoxLayout
from PySide6.QtCore import QTimer
import globals
from main_gl_widget import MainGlWidget
# Important:
# You need to run the following command to generate the ui_form.py file
# pyside... | Iosiv42/GoL | src/widget.py | widget.py | py | 1,938 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PySide6.QtWidgets.QWidget",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "ui_form.Ui_Widget",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "main_gl_widget.MainGlWidget",
"line_number": 28,
"usage_type": "call"
},
{
"api_name"... |
8952803072 | # Create your views here.
from bet_data_fetcher.models import *
from django.conf import settings
from django.core.cache import cache
from exceptions import *
import logging
logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG)
def _fetch_data_from_sites():
""" Fetches data from site classes in bet_s... | rahul342/betapp | bet_data_fetcher/views.py | views.py | py | 4,634 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "bet_sites.StanJamer",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.core.ca... |
4072532441 | from __future__ import division
import os
import sys
import subprocess
import threading
import json
import numpy as np
import ast
import tempfile
# Assumes spice.jar is in the same directory as spice.py. Change as needed.
SPICE_JAR = 'SPICE-1.0/spice-1.0.jar'
TEMP_DIR = 'tmp'
CACHE_DIR = 'cache'
class Spice:
"""... | SamarthGVasist/Image-Captioning-using-Deep-Learning-Models-CDSAML- | SPICE.py | SPICE.py | py | 5,716 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.nan",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"li... |
11472746542 | import json
from typing import List, Dict, Any
def extract_json(string: str) -> List[Dict[str, Any]]:
json_strings = []
json_objects = []
open_brackets = 0
start_index = None
for index, char in enumerate(string):
if char == '{':
open_brackets += 1
if open_brackets =... | hsyhhssyy/amiyabot-arknights-hsyhhssyy-maa | utils/string_operation.py | string_operation.py | py | 1,033 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "json.loads",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "json.JSONDecodeError",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "typing.List",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"li... |
35141470185 | #!/usr/bin/env python
"""The setup script."""
from setuptools import setup, find_packages
with open("README.rst") as readme_file:
readme = readme_file.read()
with open("HISTORY.rst") as history_file:
history = history_file.read()
with open("requirements.txt") as requirements_file:
requirements = requir... | hXtreme/flask-easyapi | setup.py | setup.py | py | 1,725 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "setuptools.setup",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 50,
"usage_type": "call"
}
] |
4246502703 | from Model.Animal import animalModel
from Controller.Animal import animalController
from fastapi import APIRouter, Depends, HTTPException
router = APIRouter(
prefix="/animals",
tags=["animals"],
responses={404: {"description": "Not found"}},
)
_animalCon = animalController.animalController()
@router.get... | aziznaufal/Mainan | Python/PercobaanFastAPI/Route/Animal/AnimalApi.py | AnimalApi.py | py | 596 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "Controller.Animal.animalController.animalController",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "Controller.Animal.animalController",
"line_number": 12,
"usage_type"... |
6993423096 | from __future__ import annotations
import math
from typing import TYPE_CHECKING
from adapter.path_adapter import PathAdapter, PathAttributeID
from adapter.straight_adapter import StraightAdapter
from common.image_manager import ImageID
from entity_base.image.image_state import ImageState
from models.path_models.path_se... | AnselChang/Pathogen4 | models/path_models/path_segment_model.py | path_segment_model.py | py | 12,457 | python | en | code | 11 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "models.path_models.path_element_model.SerializedPathElementState",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "models.path_models.segment_direction.SegmentDirection",
... |
26040212886 | from __future__ import annotations
import dataclasses
import logging
import os
from abc import ABCMeta
from dataclasses import dataclass
from typing import Any, ClassVar, Generic, Iterable, Mapping, Type, TypeVar
import yaml
from typing_extensions import final
from pants.backend.helm.subsystems.helm import HelmSubsy... | pantsbuild/pants | src/python/pants/backend/helm/util_rules/tool.py | tool.py | py | 16,274 | python | en | code | 2,896 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "pants.option.subsystem.Subsystem",
"line_number": 74,
"usage_type": "name"
},
{
"api_name": "abc.ABCMeta",
"line_number": 74,
"usage_type": "name"
},
{
"api_name": "typing... |
14127553386 | import tkinter as tk
import datetime
class App:
def __init__(self,parent):
self.parent = parent
self.hour_label = tk.Label(self.parent,text="H",background='plum1',font=('verdana',12,'bold'))
self.tick1 = tk.Label(self.parent,text=':',background='plum1',font=('verdana',1... | vishalnain-10/Digital-Watch-using-tkinter | digi_clock.py | digi_clock.py | py | 2,437 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tkinter.Label",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tkinter.Label",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tkinter.Label",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tkinter.Label",
"line_n... |
4759197935 | """Test the gambit.sigs.convert module."""
import pytest
import numpy as np
from gambit.sigs.convert import dense_to_sparse, sparse_to_dense, can_convert, \
check_can_convert, convert_dense, convert_sparse
from gambit.kmers import KmerSpec
from gambit.test import random_seq
def test_dense_sparse_conversion():
"""... | jlumpe/gambit | tests/sigs/test_sigs_convert.py | test_sigs_convert.py | py | 2,427 | python | en | code | 16 | github-code | 6 | [
{
"api_name": "gambit.kmers.KmerSpec",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "gambit.sigs.convert.de... |
137753727 | ###############################################################################
# Pareto-Optimal Cuts for Benders Decomposition #
# Article: Accelerating Benders Decomposition: Algorithmic Enhancement and #
# Model Selection Criteria ... | isaac0821/BendersDecomposition | benders.py | benders.py | py | 10,604 | python | en | code | 15 | github-code | 6 | [
{
"api_name": "random.randint",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "gurobipy.Model",
"line_number": 107,
"usage_type": "call"
},
{
"api_name": "gurobipy.GRB",
"lin... |
30783796663 | """
https://adventofcode.com/2019/day/8
"""
from typing import List, Tuple, NamedTuple, Iterator
import itertools
import math
Layer = Tuple[Tuple[int]]
class LayerMetrics(NamedTuple):
name: str
count: int
layer_nums: Layer
def grouper(iterable: List[int], size:int) -> Iterator[Tuple[int]]:
iterable ... | giordafrancis/adventofcode2019 | day08_image.py | day08_image.py | py | 2,140 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.Tuple",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "typing.NamedTuple",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "itertools.islice",
"lin... |
7937970870 | from PIL import Image, ImageDraw, ImageFont, ImageColor, ImageEnhance
import requests
import io
import json
from rembg import remove, new_session
import uvicorn
from fastapi import FastAPI, Request
from fastapi.responses import FileResponse, Response
app = FastAPI()
def ReduceOpacity(im, opacity):
"""
Return... | kimtrietvan/Image-text-template | main.py | main.py | py | 10,449 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "PIL.ImageEnhance.Brightness",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "PIL.ImageEnhance",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "json.load... |
37020505173 | # Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# dist... | TateWalker/Galactic-Data | irsa.py | irsa.py | py | 14,152 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "math.cos",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "math.radians",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "astropy.coordinates.Angle",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "astropy.units.hour",
... |
30528663499 | from PIL import Image, ImageDraw
def board(num, size):
col = (255, 255, 255)
picture = Image.new("RGB", (num * size, num * size), col)
x = size * num
y = x
draw = ImageDraw.Draw(picture)
for i in range(0, x, size):
if i % (size * 2) == 0:
for j in range(0, y, size):
... | OrAnge-Lime/Python-Practice-3 | 26.2.py | 26.2.py | py | 704 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PIL.Image.new",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "PIL.ImageDraw.Draw",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "PIL.ImageDraw",
"line_num... |
42084381756 | import logging
import json
import re
from typing import Any
from concurrent.futures import ThreadPoolExecutor
from pymongo import MongoClient, database
from bson.json_util import dumps, loads
from bson.objectid import ObjectId
from backend.conf.confload import config
from backend.models.system import ResponseBasic
f... | tbotnz/cmdboss | backend/cmdboss_db/cmdboss_db.py | cmdboss_db.py | py | 7,900 | python | en | code | 22 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "backend.conf.confload.config.mongo_server_ip",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "backend.conf.confload.config",
"line_number": 24,
"usage_type": "name... |
6442868869 | import torch
import torch.nn as nn
from constants import IMG_SIZE
class LinearVAE(nn.Module):
def __init__(self, num_features):
super(LinearVAE, self).__init__()
self.num_features = num_features
self.encoder = nn.Sequential(
nn.Linear(in_features=IMG_SIZE ** 2, out_features=51... | antoineeudes/MLFlowPlayground | src/model.py | model.py | py | 1,564 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_... |
19265213860 | from kubernetes import client, config
from datetime import datetime
import threading
import time
from settings import CPU_THRESHOLD ,SUSPEND_AFTER_DRAIN
def time_now():
return datetime.now().strftime("%H:%M:%S")
class Drainy:
"""
This Drainy class is to auto-drain a faulty node as self-healing solution
... | netmanyys/drainy | main.py | main.py | py | 5,104 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "kubernetes.config.load_incluster_config",
"line_number": 15,
"usage_type": "call"
},
{
"api... |
70396795707 | import chex
import jax
import jax.numpy as jnp
import shinrl as srl
dS = 10
dA = 5
obs_shape = (2,)
act_shape = (3,)
init_probs = jnp.array([0.2, 0.8, 0, 0, 0, 0, 0, 0, 0, 0])
discount = 0.99
def tran_fn(state, action):
next_state = jnp.array([state, (state + action) % 10], dtype=int)
prob = jnp.array([0.2,... | omron-sinicx/ShinRL | tests/envs/base/mdp_test.py | mdp_test.py | py | 1,458 | python | en | code | 42 | github-code | 6 | [
{
"api_name": "jax.numpy.array",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "jax.numpy",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "jax.numpy.array",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "jax.numpy",
"line_numbe... |
25785346221 | import numpy as np
import matplotlib.pyplot as plt
import xlrd
from config import SHEET_INDEX, ROW_START, ROW_END, COLUMN_START, COLUMN_END,FILE_NAME
from model import Unit
plt.rcParams['font.family']='Calibri'
def read_data():
workbook = xlrd.open_workbook(FILE_NAME)
sheet = workbook.sheets()[0]
result = ... | gaufung/CodeBase | PDA/Figures/app.py | app.py | py | 2,205 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "xlrd.open_workbook",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "con... |
27812524833 | from collections import deque
class Queue:
def __init__(self):
self.queue = deque()
def enqueue(self, item):
self.queue.append(item)
def dequeue(self):
if self.is_empty():
raise IndexError("Queue is empty")
return self.queue.popleft()
def is_empty(self):
... | aaryam-dev/Python_DSA | Data Structures/2_Queue/Queue.py | Queue.py | py | 897 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "queue.Queue",
"line_number": 38,
"usage_type": "call"
}
] |
27537060768 | import requests
import json
BASE_URL = 'http://localhost:9000'
def test_health():
response = requests.get(BASE_URL)
assert response.status_code == 200
assert response.text == "Welcome to our Spring-Boot Application!"
def test_get_logs():
response = requests.get(BASE_URL + "/logs")
logs = respon... | GalDavid6/GaMosh.DevOps | tests/test_http.py | test_http.py | py | 696 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number":... |
3935444552 | import argparse
import sys
import time
from datetime import datetime, timedelta
from glados.es.ws2es.es_util import ESUtil, num_shards_by_num_rows, DefaultMappings, CURRENT_ES_VERSION
import glados.es.ws2es.signal_handler as signal_handler
import glados.es.ws2es.resources_description as resources_description
import gla... | chembl/chembl_ws_2_es | src/glados/es/ws2es/cluster_replication/cluster_replicator.py | cluster_replicator.py | py | 13,233 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "threading.Thread",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "glados.es.ws2es.es_util.ESUtil",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "sys.stderr",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "glado... |
3695969994 | """Split-Attention"""
import torch
from torch import nn
import torch.nn.functional as F
from torch.nn.modules.utils import _pair
from .dropblock import DropBlock2D
__all__ = ['SplAtConv2d']
class SplAtConv2d(nn.Module):
"""Split-Attention Conv2d
"""
def __init__(self, in_channels, out_channels, kernel_... | welkin-feng/ComputerVision | cvmodels/models/layers/splat.py | splat.py | py | 3,449 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "torch.nn.ReLU",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line... |
26625314906 | from django.contrib.auth.decorators import user_passes_test
from django.core import urlresolvers
from django.http import HttpResponseRedirect
from django.shortcuts import render_to_response
from django.template import RequestContext
from django.utils.translation import ugettext as _
from product.forms import VariationM... | dokterbob/satchmo | satchmo/apps/product/views/adminviews.py | adminviews.py | py | 5,586 | python | en | code | 30 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "product.forms.InventoryForm",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.core.urlresolvers.reverse",
"line_number": 22,
"usage_type": "call"
},
{
"ap... |
5634782182 | #encoding:utf-8
# 导入matplotlib.pyplot, numpy 包
import numpy as np
import matplotlib.pyplot as plt
# 添加主题样式
# plt.style.use('mystyle')
# 设置图的大小，添加子图
fig = plt.figure(figsize=(5,5))
ax = fig.add_subplot(111)
#绘制sin, cos
x = np.arange(-np.pi, np.pi, np.pi / 100)
y1 = np.sin(x)
y2 = np.cos(x)
y3=np.tan(x)
s... | peipei1109/P_04_CodeCategory | visualize/pltmultiLegend.py | pltmultiLegend.py | py | 1,227 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "numpy.arange",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
... |
35776081465 | from django.urls import path
from . import consumers
websocket_urlpatterns = [
path('ws/machine/<int:pk>/last/', consumers.MachineLastRunConsumer),
path('ws/machine/<int:pk>/runs/', consumers.MachineRunsStatusConsumer),
path('ws/machine/status/', consumers.MachinesStatusConsumer),
]
| TobKed/system_test_progress_tracking | system_test_progress_tracking/progress_tracking/routing.py | routing.py | py | 299 | python | en | code | 0 | github-code | 6 | [
{
"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"
}
] |
15757203807 | from django.http import HttpRequest
from django.test import TestCase
from snippets.views import top
from django.urls import resolve
from snippets.views import top, snippet_new, snippet_edit, snippet_detail
# Create your tests here.
class CreateSnippetTest(TestCase):
def test_should_resolve_snippet_new(self):
... | KentaKamikokuryo/DjangoWebApplication | djangosnippets/snippets/tests.py | tests.py | py | 771 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.test.TestCase",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.urls.resolve",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "snippets.views.snippet_new",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name":... |
1883937681 | # -*- coding: utf-8 -*-
"""
Created on Thu Jun 10 21:31:20 2021
@author: Scott
"""
# %% Set up
import pandas as pd
import numpy as np
import os
import glob
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
# import plotly.graph_objects as go
from matplotlib.collections import PatchCollection
from mat... | sckilcoyne/Election_Results | cambridge.py | cambridge.py | py | 8,768 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 18,
"usage_type": "name"
},
{
"api_na... |
30357800081 | from math import log10
from pyface.qt import QtCore, QtGui
from traits.api import TraitError, Str, Float, Any, Bool
from .editor_factory import TextEditor
from .editor import Editor
from .constants import OKColor, ErrorColor
from .helper import IconButton
# ------------------------------------------------------... | enthought/traitsui | traitsui/qt/range_editor.py | range_editor.py | py | 25,173 | python | en | code | 290 | github-code | 6 | [
{
"api_name": "editor.Editor",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "traits.api.Any",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "editor.Editor._set_value",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "editor.Editor",... |
23520366148 | import pygame
from animation_folder import import_folder
class Door(pygame.sprite.Sprite):
def __init__(self, pos):
super().__init__()
# Door attributes
self.frames = 0
self.animation_speed = 0.15
self.animations = import_folder('./graphics/pain_character/door')
self... | lekan2410/Naruto-Platformer-V2 | Code/door.py | door.py | py | 825 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.sprite",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "animation_folder.import_folder",
"line_number": 10,
"usage_type": "call"
}
] |
1414104927 | import logging
import coloredlogs
import sys
import os
import yaml
import argparse
log = logging.getLogger(__name__)
class Workspace:
BACK_CONFIG_VERSION = "0.03"
CONFIG_VERSION = "0.05"
DEFAULT_WORKSPACE_DIR = os.path.join(os.path.expanduser("~"),
".tng-workspac... | sonata-nfv/tng-sdk-project | src/tngsdk/project/workspace.py | workspace.py | py | 14,885 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.expanduser",
"... |
18003891687 | from unittest.mock import patch
from django.urls import reverse
from rest_framework import status
from django.contrib import messages
from comment.conf import settings
from comment.models import Comment
from comment.tests.base import BaseCommentTest, BaseCommentFlagTest, BaseCommentViewTest
from comment.tests.test_ut... | Shirhussain/RTL-Blog-with-multiple-user | comment/tests/test_views.py | test_views.py | py | 22,289 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "comment.tests.base.BaseCommentViewTest",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "comment.models.Comment.objects.all",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "comment.models.Comment.objects",
"line_number": 16,
"usage_type... |
72780266429 | import onnx
import numpy as np
import onnxruntime as ort
import tvm
from tvm.contrib import graph_executor
import tvm.auto_scheduler as auto_scheduler
from tvm import relay, autotvm
import tvm.relay.testing
from tvm.autotvm.tuner import XGBTuner, GATuner, RandomTuner, GridSearchTuner
model_encoder = "/home/xinyuwang/... | angry-crab/tvm_example | python/ansor.py | ansor.py | py | 2,954 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "onnx.load",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "tvm.relay.frontend.from_onnx"... |
9309515906 | from sklearn import svm
import numpy as np
import cv2
from autoCanny import auto_canny
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score
train =[]
label =[]
for i in range(0,10):
for j in range(1,3795):
path = "hog/" + str(i) + "/" + "img (" + str(j) + ").jpg"
... | mervedadas/Optical-Character-Recognition | model.py | model.py | py | 1,275 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 20,... |
386804619 | """
Created on Tue Nov 10
This program finds the solution to the system Ax = b and the LU factorization of A
using the Doolittle method.
Parameters
----------
A : Invertible matrix
b : Constant vector
Returns
-------
x : Solution
L : Factorization matrix L
U : Factorization matriz U
@author: Cesar Andres Garcia ... | jsperezsalazar2001/SADA_ANALYTICS | SADA_ANALYTICS/public/python/stepped.py | stepped.py | py | 3,549 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.set_printoptions",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"lin... |
42166292211 | #!/usr/bin/env python
# coding: utf-8
# In[ ]:
import numpy as np
import cv2
import sys
# In[ ]:
def view_img(filepath):
img = cv2.imread(filepath)
window = cv2.namedWindow("Image Viewer", cv2.WINDOW_NORMAL)
img = cv2.resize(img, (1080, 720))
cv2.imshow(window, img)
cv2.waitKey()
print("i... | ANSHAY/OpenCV | practice/scripts/view_img.py | view_img.py | py | 605 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.namedWindow",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.WINDOW_NORMAL",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "cv2.resize",
"l... |
32909453379 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import m3u8
import os
import sys
from Crypto.Cipher import AES
from multiprocessing import Pool
import multiprocessing
import requests
import logging
import threading
import queue
import aiohttp
import asyncio
import time
from functools import wraps
from concurrent.futures... | id10tttt/tools | m3u8_donwload.py | m3u8_donwload.py | py | 9,424 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "asyncio.Semaphore",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_n... |
3475871616 | #!/bin/env python3
import requests
import time
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import numpy as np
IP = "127.0.0.1"
PORT = ":12345"
url = "http://" + IP + PORT + "/cpu"
response = requests.get(url)
if response.ok:
print ("%s" % (response.content))
else:
response.raise_... | Antonito/cpp_gkrellm | scripts/cpu_load.py | cpu_load.py | py | 829 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "matplotlib.py... |
22904964205 | import argparse
from os.path import join
from pathlib import Path
import cv2
import numpy as np
parser = argparse.ArgumentParser(description='This script creates points.txt and clusters.txt files for a given image.')
parser.add_argument('--src_img', type=str, help='Path to the source image.')
parser.add_argument('--... | markomih/kmeans_mapreduce | data_prep_scripts/data_prep.py | data_prep.py | py | 1,652 | python | en | code | 41 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"... |
71749352509 | import random
from kafka import KafkaProducer
producer = KafkaProducer(bootstrap_servers='0.0.0.0:9092')
num = random.randint(0, 10)
num_bytes = bytes(str(num), encoding='utf-8')
is_send = producer.send('test-topic', value=num_bytes, key=num_bytes)
# Block for 'synchronous' sends
try:
record_metadata = is_send.... | makseli/kafka-docker-python | producer.py | producer.py | py | 639 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "kafka.KafkaProducer",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 6,
"usage_type": "call"
}
] |
71483194428 | import pyautogui as pgui
import time
# pgui.PAUSE = 2.5
pgui.FAILSAFE = True
# positional variables // TO BE CHANGED IF REUSED, using mouse_pos.py
export_position = 1250, 540
tab_delimited_file_position = 1304, 785
records_from_button_position = 1092, 724
records_from_button_position_first_box = 1207, 724
records_fro... | KnuxV/projet_transdisciplinaire | auto_clicker.py | auto_clicker.py | py | 2,612 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyautogui.FAILSAFE",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "time.sleep",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pyautogui.click",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pyautogui.click",
... |
5033653307 | from django.test import TestCase
from django.contrib.auth.models import User
from django.conf import settings
from unittest.mock import Mock, patch
from unittest import mock
from twilio.rest import Client
from help.models import Group, Event, UserProfile
from help.forms import RegisterForm, UserForm, GroupForm, Contact... | davidbarat/P13 | needhelp/help/tests/test_forms_models.py | test_forms_models.py | py | 3,779 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.test.TestCase",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.models.User.objects.create_user",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects",
"line_number": 31,
"us... |
37182141846 | from PyQt5.QtWidgets import QLabel, QWidget
class DescriptionLabel(QLabel):
def __init__(self, text: str, parent: QWidget):
super().__init__(text, parent)
self.setMaximumWidth(300)
self.setWordWrap(True)
self.setStyleSheet("QLabel{"
"font-size: 8pt;}")
| brankomilovanovic/Database-Handler | handlers/rel/mysql/Connection/UI/DescriptionLabel.py | DescriptionLabel.py | py | 318 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PyQt5.QtWidgets.QLabel",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 5,
"usage_type": "name"
}
] |
18777180614 | import base64
from io import BytesIO
from flask import request
# Get a Float parameter with name `name` from the request or
# return the specified default value if it's absent
def num(name, default=0):
val = request.args.get(name)
return float(float(val) if val is not None else default)
# Get an... | Hitonoriol/MOND-PI | lab-10-endpoints/io_utils.py | io_utils.py | py | 2,196 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.request.args.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "flask.reque... |
5480416527 | import os
import requests
from bs4 import BeautifulSoup
import re
import sys
import getopt
user_agent = 'Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.82 Safari/537.36'
def get_music_data(url):
"""
用于获取歌曲列表中的歌曲信息
"""
headers = {'User-Agent':user_agent}... | haochen1204/Reptile_WYYmusic | pachong.py | pachong.py | py | 3,850 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_numb... |
74577178748 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('rest', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='ImageLike',
fields=[
... | ayyoobimani/Cloth-server | hiCloth/hicloth/rest/migrations/0002_imagelike_tag_userimageaction_usertaglike.py | 0002_imagelike_tag_userimageaction_usertaglike.py | py | 2,196 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 14,
"usage_type": "call"
},
... |
22676201180 | import mxnet as mx
import numpy as np
import importlib
import os
import pickle
from sklearn import preprocessing
from rmacRegions import rmac_regions
if __name__ == '__main__':
featureDim = {
'vgg16': 512,
'resnet18': 512,
'resnet101': 512,
'resnet152': 512,
'custom': 512
... | juvu/ImageSearch | utils/genDatabase_RMAC.py | genDatabase_RMAC.py | py | 2,141 | python | en | code | null | github-code | 6 | [
{
"api_name": "importlib.import_module",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.newaxis",
"l... |
37307665313 | import tkinter as tk
from tkinter import ttk
import serial
from time import sleep
# Configure the serial port settings
port = "/dev/ttyS0"
baudrate = 9600
# Open the serial port
ser = serial.Serial(port, baudrate)
def on_FOTA_selected():
data=4
ser.write(bytes([data]))
ser.flush()
received=... | nadinfromc137/AutoSync-ACCwithFOTA | GUI/gui.py | gui.py | py | 3,626 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "serial.Serial",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 4... |
811875796 | # Substring with Concatenation of All Words - https://leetcode.com/problems/substring-with-concatenation-of-all-words/
'''You are given a string, s, and a list of words, words, that are all of the same length. Find all starting indices
of substring(s) in s that is a concatenation of each word in words exactly once and... | Saima-Chaity/Leetcode | Sliding_Window/SubstringWithConcatenationOfAllWords.py | SubstringWithConcatenationOfAllWords.py | py | 1,493 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.Counter",
"line_number": 20,
"usage_type": "call"
}
] |
20544187876 | from taskManager.plotting import *
import argparse
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument(
"--log_path",
type=str,
required=True,
help="Input TSV file path containing the output of ResourceMonitor"
)
parser.add_argument(
... | rlorigro/TaskManager | bin/plot_resource_usage.py | plot_resource_usage.py | py | 630 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 6,
"usage_type": "call"
}
] |
39253570970 | from datetime import datetime
from urllib.parse import urljoin
import os
import responses
from django.conf import settings
from django.test import TestCase
from mangaki.models import (Work, WorkTitle, RelatedWork, Category, Genre,
Language, ExtLanguage, Artist, Staff, Studio)
from mangaki.... | mangaki/mangaki | mangaki/mangaki/tests/test_anilist.py | test_anilist.py | py | 11,533 | python | en | code | 137 | github-code | 6 | [
{
"api_name": "django.test.TestCase",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings.T... |
32603947460 | from django.db import models
from simple_history.models import HistoricalRecords
from base.models.base import AuthBaseEntity
from base.models.inventory import Inventory
class Promotion(AuthBaseEntity):
class Meta:
ordering = ['-modified', '-created']
inventory = models.ForeignKey(Inventory, on_del... | SainezKimutai/test-capital | base/models/promotion.py | promotion.py | py | 678 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "base.models.base.AuthBaseEntity",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.db.models.ForeignKey",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "base.models.inventory.Inventory",
"line_number": 14,
"usage_type": "argument"
... |
22423126020 | import streamlit as st
import pandas as pd
import numpy as np
import pickle
import librosa
import csv
import os
from sklearn.preprocessing import StandardScaler
from sklearn.preprocessing import LabelEncoder
#from audio_recorder_streamlit import audio_recorder
# def predict_age(audio_bytes):
# input = librosa.cor... | DirectorOfUnskillful/Music_Genre_Classification | app1.py | app1.py | py | 7,405 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.splitext",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "csv.writer",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "librosa.load",
"line_num... |
44724952954 | # !/usr/bin/python
"""Main File to embedd and SRT or ASS subtitle file into an MKV file."""
import os
import sys
from os.path import basename
from mkv import mkv
import argparse
import time
def initParser():
parser = argparse.ArgumentParser()
parser.add_argument("inputMkv", type=argparse.FileType('r'),
... | voelkerb/matroskaPlotter | bakeSub.py | bakeSub.py | py | 1,360 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "argparse.FileType",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "argparse.FileType",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "mkv.mkv.g... |
7005065421 | import logging
import logging.config
from huggingface_hub import HfApi
from typing import Text, Optional
from .config_parser import ConfigParser
from .exceptions import TaskModelMismatchException
logging_config_parser = ConfigParser('config/logging.yaml')
logging.config.dictConfig(logging_config_parser.get_config_dic... | MinuraPunchihewa/hugging-py-face | hugging_py_face/base_api.py | base_api.py | py | 1,024 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "config_parser.ConfigParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.config.dictConfig",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.config",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name"... |
73554526269 | from hw_asr.base import BaseModel
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
class MaskConv(nn.Module):
def __init__(self, seq_module):
super(MaskConv, self).__init__()
self.seq_module = seq_module
def forward(self, x, lengths):
for module in self... | ArseniyBolotin/asr_project | hw_asr/model/deepspeech.py | deepspeech.py | py | 4,068 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.BoolTensor",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
"l... |
69997908667 | import requests
try:
import BeautifulSoup #python2
version = 2
except ImportError:
import bs4 as BeautifulSoup #python3
version = 3
def get_people_by_url(url, recurse=False):
response = requests.get(url)
html = response.content
if version == 2:
soup = BeautifulSoup.BeautifulSoup(ht... | barryam3/MITpeople | MITpeople.py | MITpeople.py | py | 2,696 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "bs4.Tag",
"line_... |
37273225181 |
from cc3d.core.PySteppables import *
from cc3d.CompuCellSetup import persistent_globals as pg
class ConstraintInitializerSteppable(SteppableBasePy):
def __init__(self,frequency=1):
SteppableBasePy.__init__(self,frequency)
def start(self):
for cell in self.cell_list:
cell.targ... | SouKot/cc3d-scipyOptimize | Simulation/nutrient_stress_mitosisSteppables.py | nutrient_stress_mitosisSteppables.py | py | 9,639 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cc3d.CompuCellSetup.persistent_globals.input_object",
"line_number": 57,
"usage_type": "attribute"
},
{
"api_name": "cc3d.CompuCellSetup.persistent_globals",
"line_number": 57,
"usage_type": "name"
},
{
"api_name": "cc3d.CompuCellSetup.persistent_globals.input_obje... |
21666324114 | #https://leetcode.com/problems/3sum/
from collections import defaultdict
class Solution:
#Fast and extremely clever solution, need to study this further to understand how it works
def threeSum(self, nums: list[int]) -> list[list[int]]:
negative = defaultdict(int)
positive = defaultdict(int)
... | Adam-1776/Practice | DSA/3sum/solution.py | solution.py | py | 2,243 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.defaultdict",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 10,
"usage_type": "call"
}
] |
36644827726 |
def log(message: str):
with open('progress.log', 'a') as f:
f.write(message+'\n')
def log_broken_file(e, broken_filename: str):
with open('broken_files.log', 'a') as f:
f.write(broken_filename+'\n')
f.write(str(e)+'\n')
import os
import json
# import sys
import random
from datetime im... | AdrienSF/twitter-analysis | older/save_trained_lda.py | save_trained_lda.py | py | 3,790 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "nltk.download",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "datetime.date.today",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"lin... |
5290534852 | # This file is part of Channel Capacity Estimator,
# licenced under GNU GPL 3 (see file License.txt).
# Homepage: http://pmbm.ippt.pan.pl/software/cce
from collections import Counter
import numpy as np
import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()
def weight_optimizer(neighb_count, labels) -> (float, l... | pawel-czyz/channel-capacity-estimator | cce/optimization.py | optimization.py | py | 2,289 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "tensorflow.compat.v1.disable_v2_behavior",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tensorflow.compat.v1",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "tensorflow.compat.v1.reset_default_graph",
"line_number": 30,
"usage_type": "... |
21628349339 | #!/usr/bin/python3
# this file contains the code to publish parsed messages to your system
# currently there is only MQTT implemented, which can be configured in the central config
import logging
import paho.mqtt.publish
#internal imports
import config
def is_interval_matched(dateTime):
dateTime
seconds = i... | aburgr/smartmeter-reader | publish.py | publish.py | py | 1,793 | python | en | code | 14 | github-code | 6 | [
{
"api_name": "config.mqtt_publish_interval_seconds",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "config.mqtt_enabled",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "config.mqtt_topic_prefix",
"line_number": 25,
"usage_type": "attribute... |
71859300669 | '''
Plotting Histograms and Scatter Plots for analysis
Also makes and prints dataframes sorted by various
statistics (see per_million)
Makes a final csv file with relevant contribution stats
'''
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import statsmodels.api as sm
import w... | fzyang1227/ds2000proj | graphs.py | graphs.py | py | 5,649 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.savefig",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "m... |
73761204349 | import numpy as np
from constants.constants import UNI, EXTENDED
from utils.progress_bar import progress_bar
def create(img:np.array, UNICODE=EXTENDED) -> str:
res = ""
for i,line in enumerate(img):
progress_bar(i/img.shape[0])
for pixel in line:
res += UNICODE[int(sum(pixel)/768*le... | carlospuenteg/Image-to-Unicode | create_txt.py | create_txt.py | py | 363 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "constants.constants.EXTENDED",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "utils.progress_bar.progress_bar",
"line_number": 8,
"usage_type": "call"
},
{
"api_na... |
31672849616 | '''
from PyQt5 import QtCore, QtWidgets, QtGui
from PyQt5.QtWebEngineWidgets import QWebEngineView
from PyQt5.QtCore import QUrl
xcept ImportError:
print("PyQt5 is not installed")
'''
from PySide2 import QtCore, QtWidgets, QtGui
from PySide2.QtWebEngineWidgets import QWebEngineView
from PySide2.QtCore import QUrl... | ArturW/Discovery | pydiscoveryt.py | pydiscoveryt.py | py | 10,341 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "socket.socket",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_DGRAM",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "socket.SOL_S... |
367509253 | import streamlit as st
import pandas as pd
import random
from stqdm import stqdm
df_64 = pd.read_csv("juyok_DB.csv", encoding='UTF8')
df_est = pd.read_csv("juyok_DB_est.csv", encoding='UTF8')
# st.write(df_64)
st.markdown("## **당신의 이름은 무엇인가요?**")
name = st.text_input("이름: ")
st.markdown("## **당신의 성별은 무엇인가요?**")
s... | baemsu/juyok | app.py | app.py | py | 3,094 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "streamlit.markdown",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "streamlit.text_input... |
37016357191 | #!/usr/bin/env python3
from __future__ import print_function
import ase.io
import sys
import numpy as np
if len(sys.argv) != 3:
sys.stderr.write("Usage: %s model.so model_params < input.xyz\n" % sys.argv[0])
sys.exit(1)
at = ase.io.read(sys.stdin, format="extxyz")
import fortranMCMDpy
FORTRAN_model = sys.a... | libAtoms/pymatnest | test_fortran_model.py | test_fortran_model.py | py | 1,204 | python | en | code | 26 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr.write",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_nu... |
12477052664 | from cProfile import label
from multiprocessing.sharedctypes import Value
from re import T
from typing import Dict, List, Optional, Tuple
import torch
import matplotlib.pyplot as plt
import matplotlib.ticker as mticker
import transformers
import numpy as np
import random
import argparse
from collections import default... | mariopenglee/llm-metalearning | src/submission/icl.py | icl.py | py | 11,435 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "torch.backends.mps.is_available",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.backends",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "t... |
19235406042 | from dash import dcc, html, dash_table
import config
import sites
import numpy as np
import pandas as pd
def call_layout(site_config):
layout = html.Div([
html.Div(id='dash-header',
children=[
html.H1(children=config.title),
html.H3(children=dcc.M... | fenggroup/bike-traffic-plotly-dash | layouts.py | layouts.py | py | 9,242 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "dash.html.Div",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "dash.html",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "dash.html.Div",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "dash.html",
"line_number": ... |
1919214297 | from lxml import etree
import requests
import pymysql
def getdel():
url = 'https://book.douban.com/top250'
data = requests.get(url).text
s=etree.HTML(data)
file=s.xpath('//*[@id="content"]/div/div[1]/div/table/tr/td[2]/div[1]/a/@title')
print(file)
return fil... | cxzw/python-- | 16219111435/席子文爬虫作业/静态爬虫.py | 静态爬虫.py | py | 601 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "lxml.etree.HTML",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "pymysql.connect",
"line_numb... |
43371076004 | import requests
from bs4 import BeautifulSoup
import os
def get_book(url):
response = requests.get(url)
response.encoding = "utf-8"
text = response.text
soup = BeautifulSoup(text)
div_show = soup.select("div.dirShow")[0]
# print(div_show)
dirs = div_show.select("li a")
count = len(dir... | frebudd/python | book_spider.py | book_spider.py | py | 1,460 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"l... |
37276060555 | import torch
import numpy as np
import torch.nn.functional as F
import torch.nn as nn
from torch.nn.modules.utils import _pair, _quadruple
import math
class MedianPool2d(nn.Module):
""" Median pool (usable as median filter when stride=1) module.
Args:
kernel_size: size of pooling kernel, int or 2... | yeongjoonJu/CFR-GAN | tools/ops.py | ops.py | py | 9,407 | python | en | code | 74 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torch.nn.modules.utils._pair",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.nn.mod... |
5264982546 | #!<path_from_which_python_command>
import sys
import os
from datetime import date
import datetime
import pkgutil
import os
import shutil
import subprocess
import time
import urllib.request # To download files
from tkinter import Tk, ttk # Download bar
import zipfile
from pathlib import Path
import urllib.request as req... | gomuG/ROMiner | gUtil.py | gUtil.py | py | 10,668 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "CustomLogger.logger",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "urllib.request.get",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "urllib.request",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "requests.g... |
22047012801 | import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets import RangeSlider
import pims
def gui(input_img):
# read in an image, usually np.array kind. This one will be a stack of images
# Initialize the frame number to be zero, since array indexing
frame = 0
img = input_img
fig, axs = pl... | kzhang425/PyImgTracker | gui_plots.py | gui_plots.py | py | 1,454 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.subplots_adjust",
"line_number": 13,
"usage_type": "call"
},
{
"ap... |
6841379030 | import itertools
from collections import OrderedDict
import nltk
from spellchecker import SpellChecker
from nltk.corpus import wordnet as wn
from ranker import Ranker
#import utils
"""
search engine for spell checker
"""
# DO NOT MODIFY CLASS NAME
class Searcher:
# DO NOT MODIFY THIS SIGNATURE
# You can change... | hallelhel/Search_Engine | searcher_4.py | searcher_4.py | py | 4,158 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "ranker.Ranker",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "itertools.islice",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "spellchecker.S... |
3200668360 | import rodMassParam as P
import matplotlib.pyplot as plt
from control import TransferFunction as tf
import control as cnt
import numpy as np
import rodMassParam as P
# ----------- noise specification --------
# attenuate noise above omega_n by gamma_n
def add_spec_noise(gamma, omega, flag):
w = np.logspace(np.log1... | mebach/me431 | homework_template_folders/homework_template_folders/practice_final/python/loopshape_rodMass.py | loopshape_rodMass.py | py | 6,465 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.logspace",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.log10",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplot",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplo... |
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