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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
8012099265 | #!/usr/bin/env python3
import matplotlib.pyplot as plt
import numpy as np
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("file", type=str, help="data file")
parser.add_argument("-R", "--rd", type=float, default=1e3, help="resistor on drain")
parser.add_argument("-D", "--diagnose", action="stor... | mvallina/trts | nmosfit.py | nmosfit.py | py | 3,076 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.genfromtxt",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.square",... |
75269781308 | from sklearn.svm import SVC
import common as c
def run(num_folds, seed, test_size, dataset_url, delimiter, _c, gamma, kernel):
try:
model = SVC(C=_c, gamma=gamma, kernel=kernel)
c.run_with_classification_model(model, num_folds, seed, test_size, dataset_url, delimiter)
except Exception as e:
... | ingridcoda/serverless-machine-learning | algorithms/classification/svm.py | svm.py | py | 335 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "sklearn.svm.SVC",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "common.run_with_classification_model",
"line_number": 9,
"usage_type": "call"
}
] |
86667723602 | import random,os,string,json,requests
from flask_mail import Message
from flask import render_template,url_for,session,request,flash,abort
from werkzeug.utils import redirect
from werkzeug.security import generate_password_hash,check_password_hash
from projectapp import app,db
from projectapp.mymodel import Guest, Lga,... | abrajoe/project | projectapp/myroutes/user.py | user.py | py | 11,939 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.request.method",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "json.loads",
... |
39404813463 | from django.urls import path
from .views import (
ColaboradorList,
ColaboradorUpdate,
ColaboradorDelete,
ColaboradorCreate,
ColaboradorReport,
HtmlPdf,
)
urlpatterns = [
path('listar', ColaboradorList.as_view(), name='list_colaborador'),
path('criar', ColaboradorCreate.as_view(), name=... | fabiogpassos/GRH | apps/colaboradores/urls.py | urls.py | py | 664 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "views.ColaboradorList.as_view",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "views.ColaboradorList",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "... |
43431937253 | #!/usr/bin/env python3
""" Evaluator """
import sys
import tensorflow as tf
from utils import decode_img, image_patches, write_tensor_as_image
from model import image_diff, UPSCALER_FACTOR
def main():
""" Main function """
try:
image_path = sys.argv[1]
except:
print("Usage: {} <image path>... | Masterchef365/ENHANCE | eval.py | eval.py | py | 1,123 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "model.UPSCALER_FACTOR",
... |
22546077851 | import pygame as pg
import enum
import random
import numpy as np
import pprint
from collections import Counter
from sudokuBibli import list_sudokus
class Sudoku:
"""
class pour le sudoku
"""
def __init__ (self):
self.SOLUTIONS = []
self.grille_initiale = random.ch... | PsychoLeo/Club_Informatique | 4-Sudoku/graphicDisplay.py | graphicDisplay.py | py | 7,659 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "random.choice",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sudokuBibli.list_sudokus",
"line_number": 19,
"usage_type": "argument"
},
{
"api_name": "numpy.matrix",
"line_number": 139,
"usage_type": "call"
},
{
"api_name": "pygame.font.... |
21478478680 | import logging, datetime, sys
from modules import *
args = parser.parse_args()
start_time = datetime.datetime.now()
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
# create a file handler for INFO
handler = loggi... | greird/the-release-note | the-release-note.py | the-release-note.py | py | 3,711 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.I... |
24931817284 | from json import dumps, loads
from State import State
class Api:
"""
A class that provides methods for encoding and decoding
States to and from JSON strings.
Methods:
- Encode(states: list[State]) -> str:
Encodes a list of State objects to a JSON string.
- Decode(jsonStr... | Saeed-Ayman/8-puzzle | API.py | API.py | py | 1,287 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "State.State",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "json.dumps",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "State.State",
"line_number": 44... |
17529991766 | import os, glob, asyncio
class CommandDispatcher:
"""Register commands and run them"""
def __init__(self):
self.commands = {}
self.commands_admin = []
self.unknown_command = None
def get_admin_commands(self, bot, conv_id):
"""Get list of admin-only commands (set by plugins... | xmikos/hangupsbot | hangupsbot/commands/__init__.py | __init__.py | py | 2,229 | python | en | code | 105 | github-code | 6 | [
{
"api_name": "asyncio.coroutine",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "asyncio.coroutine",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "asyncio.coroutine",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "glob.glob"... |
11353299783 | """
Problem Statement
Given a binary tree, populate an array to represent its level-by-level traversal.
You should populate the values of all nodes of each level from left to right in separate sub-arrays.
"""
from collections import deque
class TreeNode:
def __init__(self, val):
self.val = val
se... | jihoonyou/problem-solving | Educative/bfs/example1.py | example1.py | py | 1,137 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 17,
"usage_type": "call"
}
] |
7165790234 | import argparse
import logging
import sys
from itertools import chain
from logging import getLogger
from typing import Iterable, Optional, Union
from competitive_verifier import oj
from competitive_verifier.arg import add_verify_files_json_argument
from competitive_verifier.error import VerifierError
from competitive_... | competitive-verifier/competitive-verifier | src/competitive_verifier/download/main.py | main.py | py | 2,823 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "typing.Union",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "competitive_verifier.models.VerificationFile",
"line_number": 21,
"usage_type": "name"
},
{
"api_n... |
39732132661 | from __future__ import absolute_import, division, print_function
import math
import csv
# TensorFlow and tf.keras
import tensorflow as tf
from tensorflow import keras
# Helper libraries
import numpy as np
import matplotlib.pyplot as plt
import random
rows=[]
id=[]
datadir = "../../data/"
with open(datadir+"colaus1.f... | arnaud456/deep-learning-RMN-UNIL | Phenotype_sex_marine.py | Phenotype_sex_marine.py | py | 4,016 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "csv.reader",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 80... |
19757814729 | # network.messenger.py
from __future__ import annotations
from collections import defaultdict
from dataclasses import dataclass
from pathlib import Path
from typing import TYPE_CHECKING
from typing import overload
import tinydb as tdb
from config.base import APP_USERDATA_DIR
from storage.tinyDao import TinyDao
if T... | dbyte/WebtomatorPublicEdition | webtomator/network/messenger.py | messenger.py | py | 8,076 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "network.connection.Request",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "collections.defaultdict",
"line_number": 29,
"usage_type": "call"
},
{
"api_name"... |
14637149631 | import os
import tkinter as tk
import tkinter.ttk as ttk
import time
import sys
import traceback
from functools import partial
from datetime import datetime
from mqttk.constants import CONNECT, COLOURS
class TopicBrowser(ttk.Frame):
def __init__(self, master, config_handler, log, root, *args, **kwargs):
... | matesh/mqttk | mqttk/widgets/topic_browser.py | topic_browser.py | py | 11,605 | python | en | code | 27 | github-code | 6 | [
{
"api_name": "tkinter.ttk.Frame",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "tkinter.ttk",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "tkinter.ttk.Frame",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "tkinter.ttk",
... |
20172575137 | import os
import sys
from typing import Optional
from dotenv import load_dotenv
from spinner import Spinner
import actions
import response_parser
import speech
import gpt
message_history = []
GENERAL_DIRECTIONS_PREFIX = """
CONSTRAINTS:
- Cannot run Python code that requires user input.
ACTIONS:
- "TELL_USER": t... | rokstrnisa/RoboGPT | robogpt/main.py | main.py | py | 4,135 | python | en | code | 264 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 81,
"usage_type": "attribute"
},
{
"api_name": "dotenv.load_dotenv",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "os.makedirs",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_num... |
11000393367 | import typing as T
from datetime import datetime, timedelta
from pydantic import BaseModel
from mirai import (
Mirai, Member, Friend,
MessageChain, At
)
from .alias import MESSAGE_T
# https://mirai-py.originpages.com/tutorial/annotations.html
Sender = T.Union[Member, Friend]
Type = str
def reply(app: Mirai... | Lycreal/MiraiBot | plugins/_utils/__init__.py | __init__.py | py | 2,146 | python | en | code | 70 | github-code | 6 | [
{
"api_name": "typing.Union",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "mirai.Member",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "mirai.Friend",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "mirai.Mirai",
"line_n... |
74285386747 | import sys
sys.path.append('../python')
sys.path.append('../apps')
import needle as ndl
from d2l import torch as d2l
import torch
import torch.nn as nn
import numpy as np
class MultiHeadAttention(nn.Module):
"""多头注意力"""
def __init__(self, key_size, query_size, value_size, num_hiddens,
num_head... | Erostrate9/needle | tests/MultiHeadAttention.py | MultiHeadAttention.py | py | 7,843 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_numbe... |
1824122729 | from django.http import HttpResponse, JsonResponse
from django.shortcuts import render, redirect
from book.models import BookInfo
# Create your views here.
################################# Request #######################################################################################################################... | guoxi-xixi/django_base | bookmanager03/book/views.py | views.py | py | 8,205 | python | zh | code | 0 | github-code | 6 | [
{
"api_name": "book.models",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "book.models.BookInfo.objects.create",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "book.models.BookInfo.objects",
"line_number": 11,
"usage_type": "attribute"
},
{
... |
74280782907 | import pandas as pd
import numpy as np
from xgboost import XGBClassifier
from metrics import macro_f1
import settings
import pickle
import gc
import time
class BCXGBTrainer:
def __init__(self, config, logger):
self.config = config
self.model_params = config['model_params']
self.training_pa... | lim-hyo-jeong/DACON-Breast-Cancer | xgb_trainer.py | xgb_trainer.py | py | 5,105 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "numpy.zeros",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "settings.MODEL",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "xgboost.XGBClassifie... |
10678150202 | import asyncio
from typing import List, Any, Set, Dict
import orjson
import websockets
from websockets import WebSocketServerProtocol
from blockchain import Blockchain
from block import Block
from transaction import Transaction
from utils import send, handle
class WsNode:
def __init__(self, domain: str):
... | XmasApple/simple_blockchain | ws_node.py | ws_node.py | py | 3,756 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.Set",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "websockets.WebSocketServerProtocol",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "blockchain.... |
25159533855 | import psycopg2
import random
con=psycopg2.connect('dbname=ecommerce_db user=postgres port=5432 host=localhost password=Murad2004')
cur=con.cursor()
def show(cursor):
cur.execute(query)
length = 30
print(*[desc[0].ljust(30) for desc in cursor.description], sep='')
print('-'*140)
result = cur.fetc... | MuradAsadzade/Postresql-join-tasks | ecommerce.py | ecommerce.py | py | 13,617 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "psycopg2.connect",
"line_number": 3,
"usage_type": "call"
}
] |
8099610278 | from datetime import datetime
import os
# from dataclasses import dataclass
from sensor.constant.trainingPipeline_consts import *
class TrainingPipelineConfig:
def __init__(self, timestamp=datetime.now()):
timestamp = timestamp.strftime("%m_%d_%Y_%H_%M_%S")
self.pipeline_name: str = PIPELINE_N... | sverma1999/sensor-fault-detection | sensor/entity/config_entity.py | config_entity.py | py | 1,269 | python | en | code | 1 | 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": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"lin... |
31788132323 | from typing import TYPE_CHECKING, Iterable, List, Optional, Union, overload
from ..builtins import types
from ..common.error import ConstraintError
from ..node import (
ArrayTypeNode,
FuncTypeNode,
PointerTypeNode,
SimpleTypeNode,
TypeNode,
)
if TYPE_CHECKING:
from .block import Expression
c... | jedevc/fyp | vulnspec/graph/chunk.py | chunk.py | py | 6,242 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "node.TypeNode",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
... |
16563057746 | import numpy as np
import time, cv2, copy, os, random, sys
# Check if Running On Pi
import io
import os
def is_raspberrypi():
try:
with io.open('/sys/firmware/devicetree/base/model', 'r') as m:
if 'raspberry pi' in m.read().lower(): return True
except Exception: pass
return False
fr... | Rolling-Blocks/RB-CODE-Prototype-1 | image_processor.py | image_processor.py | py | 4,098 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "io.open",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.imshow",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
... |
28313903181 | from PyQt5.QtWidgets import QMainWindow, QApplication, QPushButton, QMenuBar, QAction, QTextEdit, QHBoxLayout, QWidget, QFontDialog, QColorDialog, QFileDialog, QDialog, QVBoxLayout, QMessageBox
from PyQt5 import QtGui, QtCore
from PyQt5.QtGui import QIcon
from PyQt5.QtPrintSupport import QPrinter, QPrintDialog, QPri... | schnuppi1984/Easy-Text-Editor | start.py | start.py | py | 6,702 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtGui.QIcon",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QAction",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "... |
2987884048 | from urllib2 import urlopen, HTTPError
from django.template.defaultfilters import slugify
from django.core.files.base import ContentFile
from django.db import transaction, IntegrityError
from item.models import Item, Link
from movie.models import Movie, Actor, Director, Genre
from decorators.retry import retry
class ... | sameenjalal/mavenize-beta | mavenize/lib/db/loadmovie.py | loadmovie.py | py | 3,712 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "movie.models.Movie.objects.get_or_create",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "movie.models.Movie.objects",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "movie.models.Movie",
"line_number": 24,
"usage_type": "name"
}... |
31236652781 | from youtube3.youtube import *
import json
from oauth2client.tools import argparser
import re
def process_videos(workDir='.', inputFile='liked.json', recommendedFile='recommended.json',
excludedFile='excluded.json', postponedFile='postponed.json',maxCount=5):
recommended, excluded, postponed,... | diegoami/DA-youtube-scripts | youtube-scripts/recommend_videos.py | recommend_videos.py | py | 6,021 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "re.split",
"line_number": 54,
"usage_... |
70411254267 | import logging
import re
import subprocess
import operator
import time
import os
import shutil
import glob
import sys
import resource
import signal
from odoo import models, fields, api
from odoo.tools import config, appdirs, DEFAULT_SERVER_DATETIME_FORMAT
from .tools import dashes, dt2time, uniq_list, mkdirs, local_p... | JZ10UJS/extra-addons | runbot/models/runbot_build.py | runbot_build.py | py | 27,507 | python | en | code | 15 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "odoo.models.Model",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
... |
13914723162 | import sys
import oneflow as flow
import oneflow.typing as tp
import argparse
import numpy as np
import os
import shutil
import json
from typing import Tuple
from textcnn import TextCNN
sys.path.append("../..")
from text_classification.utils import pad_sequences, load_imdb_data
parser = argparse.ArgumentParser()
par... | Oneflow-Inc/oneflow_nlp_model | text_classification/textcnn/train_textcnn.py | train_textcnn.py | py | 5,411 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "textcnn.TextCNN... |
36321955212 | import os
import re
import sys
import glob
import shutil
import pdftotext
def extract_Text_pdf(pdfdir):
print("Starting Text Extraction for pdf files......")
number_of_files = str(len([item for item in os.listdir(pdfdir) if os.path.isfile(os.path.join(pdfdir, item))]))
print("Processing ("+ number_of_fi... | mstatt/Udemy_HighSpeedDataAnalysis | 3_PDF_Text_Extraction/pdf_text_extraction.py | pdf_text_extraction.py | py | 1,272 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "os.listdir",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_numbe... |
36030628166 | """Countdown/Stopwatch functionalities."""
import subprocess
import threading
import time
import traceback
from abc import (
ABC,
abstractmethod,
)
from pathlib import Path
from typing import (
List,
Optional,
Union,
)
from overrides import overrides
import albert as v0
import gi # isort:skip
gi.... | ppablocruzcobas/Dotfiles | albert/clock/__init__.py | __init__.py | py | 11,096 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "gi.require_version",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line... |
32584103329 | import dash_core_components as dcc
import dash_html_components as html
import plotly.express as px
from dash.dependencies import Input, Output
import dash_bootstrap_components as dbc
from app import app
from apps import theme_explorer as te, text
import util
"""
=====================================================... | thigbee/dashBootstrapThemeExplorer | apps/bootstrap_templates.py | bootstrap_templates.py | py | 5,729 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "plotly.express.data.gapminder",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "plotly.express.data",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "plotly.express",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": ... |
8588345616 | from collections import namedtuple
from datetime import datetime
from time import sleep
from timeit import default_timer as timer
import re
import requests
def _request_matches(r, regexp) -> bool:
"""Check if request has data and that data matches give regular expresssion
Args:
r: HTTP call result fr... | abbyssoul/site_check | site_checker/rest_source.py | rest_source.py | py | 3,130 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "timeit.default_timer",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "timeit.d... |
3848748609 | from setuptools import setup, Extension
condor_module = Extension('condor',
sources=['c/condor.c', 'c/glutils.c'],
libraries=['GLEW', 'glfw'])
setup (name='Condor',
version='0.1',
description='',
ext_modules=[condor_module])
| enricozb/Condor | condor/setup.py | setup.py | py | 301 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "setuptools.Extension",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_number": 7,
"usage_type": "call"
}
] |
39763998514 | import streamlit as st
import os
from PIL import Image
from ultralytics import YOLO
import re
# Load the model
model = YOLO("model.pt")
# Set the path for results
output_dir = 'temp_out_res'
if not os.path.exists(output_dir):
os.makedirs(output_dir)
# Function to predict images
def predict_image(i... | DawidTobolski/YOLO_cell | YOLO_cell.py | YOLO_cell.py | py | 2,252 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "ultralytics.YOLO",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_n... |
30728277710 | import fileinput
from typing import Counter
ll = [l.strip() for l in fileinput.input()]
numbers = []
for line_nr in range(len(ll)):
l = ll[line_nr]
numbers = [int(x) for x in l.split(',')]
def count_fishes(days):
dd = Counter(numbers)
for _ in range(days):
new_fishes = dd[0]
for i in... | mdaw323/alg | adventofcode2021/6.py | 6.py | py | 498 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fileinput.input",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "typing.Counter",
"line_number": 13,
"usage_type": "call"
}
] |
43599298295 | from selenium import webdriver
from selenium.webdriver.chrome.options import Options
import os
from time import sleep
import smtplib
url = "https://www.coronatracker.com/pt-br/"
driver = webdriver.Chrome()
driver.get(url)
sleep(5)
save = driver.find_element_by_xpath('//*[@id="__layout"]/div/main/div/... | vinihtao/Projeto-Webscrapping | CasosCOVID.py | CasosCOVID.py | py | 1,266 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "smtplib.SMTP_... |
13658425408 | import numpy as np
import pandas as pd
import xarray as xr
import matplotlib.pyplot as plt
def summarize_qc_resamples(input_df, verbose=False, **resample_kwargs):
time_list = list()
data_list = list()
for time, df in input_df.resample(**resample_kwargs):
if verbose == True:
print("Cur... | wangsen992/pyqc | src/pyqc/tools.py | tools.py | py | 855 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "xarray.DataArray",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.dstack",
"line_number": 23,
"usage_type": "call"
}
] |
26287041907 | import sys
import matplotlib.pyplot as plt
import numpy as np
import os
# this program reads input from a script which has assessed how networks react to a particular combination of gradient and division status
# the script has produced for each network a matrix with 0 (migrate) and 1 (divide), which this program will... | RenskeVroomans/regulation_evolution | scripts/plot_netanalysis_jan.py | plot_netanalysis_jan.py | py | 3,203 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 16... |
19504742337 | from igraph import Graph
from igraph import plot
grafo = Graph(edges = [(0,1),(2,3),(0,2),(0,3)], directed = True)
grafo.vs['label'] =['Fernando', 'Pedro', 'Jose', 'Antonio']
grafo.vs['nota'] = [100, 40, 60, 20]
grafo.es['tipoAmizade'] = ['Amigo', 'Inimigo', 'Amigo']
grafo.es['devendo'] = [1,3,2,5]
grafo.vs['color'] ... | guibarreta1993Average/data_science_udemy | 05_Grafos/aula34_impressao.py | aula34_impressao.py | py | 557 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "igraph.Graph",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "igraph.plot",
"line_number": 12,
"usage_type": "call"
}
] |
74190873788 | __author__ = "ALEX-CHUN-YU (P76064538@mail.ncku.edu.tw)"
from sklearn.datasets import load_wine
from sklearn.ensemble import RandomForestClassifier
from sklearn import preprocessing
from sklearn.model_selection import validation_curve
from sklearn.model_selection import GridSearchCV
from sklearn_evaluation.plot import ... | Alex-CHUN-YU/Recommender-System | scenario_algorithm_analysis/rfc.py | rfc.py | py | 9,077 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sklearn.ensemble.RandomForestClassifier",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.GridSearchCV",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.scale",
"line_number": 68,
"usage_type... |
38353405555 | import requests
from bs4 import BeautifulSoup #screen-scraping library
#request = requests.get("http://www.google.com")
request = requests.get("https://www.johnlewis.com/house-by-john-lewis-curve-dining-chair-white/p231441579")
content = request.content #getting content of the page
soup = BeautifulSoup(content, "html... | BrayoKane/python-mongo | price-of-a-chair/src/app.py | app.py | py | 811 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 8,
"usage_type": "call"
}
] |
712141287 | #! /usr/bin/env python3
# coding: utf-8
import os
import logging as lg
import pandas as pd
import numpy as np
lg.basicConfig(level=lg.DEBUG)
import os
import pandas as pd
class SetOfParliamentMembers:
def __init__(self, name):
self.name = name
def __repr__(self):
return "setOfParliament... | honorezemagho/python-oc | analysis/csv.py | csv.py | py | 1,496 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path.join",... |
7276876468 | from django.db import models
from django.contrib.auth.models import User
class Animal(models.Model):
"""Класс описывает объект Животное"""
owner = models.ForeignKey(User, on_delete=models.CASCADE, verbose_name="Владелец")
species = models.CharField(max_length=30, verbose_name="Вид животного")
name = ... | Gamilkar/animal_medical_record | main/models.py | models.py | py | 2,320 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "django.db.models.Model",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.db.models.ForeignKey",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": ... |
31148205537 | import argparse
import seaborn as sns
import matplotlib.pyplot as plt
from scipy import stats
import pandas as pd
import numpy as np
import json
import os
def parse_args():
parser = argparse.ArgumentParser(prog='')
parser.add_argument('json', type=str, help='Figure1 JSON.')
parser.add_argument('-o', '--ou... | perezja/Leukos | presentation/figure6/figure6.py | figure6.py | py | 3,116 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "matplotlib.py... |
74022415547 | from rest_framework import status
from rest_framework.decorators import action
from rest_framework.permissions import AllowAny
from rest_framework.response import Response
from apps.celery_task.models import PeriodicTask
from apps.celery_task.serializers.periodic_task_serializer import PeriodicTaskSerializer, CreatePe... | yaowuya/django-major-core | apps/celery_task/views/periodic_task_view.py | periodic_task_view.py | py | 2,133 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django_filters.FilterSet",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "apps.celery_task.models.PeriodicTask",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "packages.drf.viewsets.ModelViewSet",
"line_number": 20,
"usage_type": "name... |
5657507234 | import os
from functools import reduce
class Photo:
id = None
layout = None # v or h
tags = []
def __init__(self, id, layout, tags):
self.id = id
self.layout = layout
# self.tagalf = "".join(sorted(tags))
self.tagalf = tuple(sorted(tags))
self.tags = tags
... | phyx4/hashcode_2019 | main.py | main.py | py | 3,664 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "functools.reduce",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.SEEK_END",
"line_number": 93,
"usage_type": "attribute"
}
] |
5792709387 | from collections import OrderedDict
from rest_framework import serializers, relations
class RelatedField(serializers.PrimaryKeyRelatedField):
def __init__(self, **kwargs):
self.serializer = kwargs.pop("serializer", None)
self.lookup = kwargs.pop("lookup", "id")
if self.serializer is not No... | lotrekagency/camomilla | camomilla/serializers/fields/related.py | related.py | py | 4,402 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "rest_framework.serializers.PrimaryKeyRelatedField",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.Serializer",
"line_number": 11,
... |
18959826347 | from rest_framework.decorators import api_view, permission_classes
import random
import string
from pprint import pprint as pp
import requests
from allauth.account.models import EmailAddress
from rest_framework import status
from rest_framework.decorators import api_view, permission_classes
from rest_framework.permiss... | isaacShin-dev/kickin | accounts/social_views.py | social_views.py | py | 3,846 | python | ko | code | 0 | github-code | 6 | [
{
"api_name": "requests.post",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "allauth.account.models.EmailAddress.objects.create",
"line_number": 56,
"usage_type": "call"
},
{
"api... |
21275819456 | """Defines all necessary networks for training / evaluation
"""
from typing import Optional, Tuple
import mindspore.nn as nn
from mindspore import Tensor
from .backbones import Backbone
from .decoders import Decoder
from .heads import Head
from .loss import Loss
from .necks import Neck
class Net(nn.Cell):
"""Cr... | mindspore-lab/mindpose | mindpose/models/networks.py | networks.py | py | 2,807 | python | en | code | 15 | github-code | 6 | [
{
"api_name": "mindspore.nn.Cell",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "mindspore.nn",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "backbones.Backbone",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "heads.Head",
... |
28031461245 | #!/usr/bin/python3
from time import sleep
from datetime import date, datetime
from pynput.keyboard import Key, Controller
from logging.handlers import RotatingFileHandler
import sys, signal, argparse, logging, platform, subprocess
# ----------------------------------Configuration--------------------------------
VOLUM... | muteebakram/Timer | main.py | main.py | py | 5,198 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.Formatter",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "logging.handlers.RotatingFileHandler",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 54,
"usage_type": "attribute"
},
{
"api_nam... |
12510085973 | from tqdm import tqdm
import math
import time
import numpy as np
def bingliu_mpqa(utterance_tokenized, file):
feat_ = []
dict1_bing = {}
for line in file:
x = line.split("\t")
dict1_bing[x[0] + "_" + x[1][:-1]] = 1
i=0
for tokens in utterance_tokenized:
res = np.array([0,0,0,... | hamzah70/Multi_Modal_Emotion_Analysis | lexiconFeatureVector.py | lexiconFeatureVector.py | py | 4,491 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 72... |
19411076487 | def create_offering(newOffering):
classTimesArray = []
if newOffering.classTimes:
for classTime in newOffering.classTimes:
classTime = {
u'location': classTime.location,
u'startTime': classTime.startTime,
u'endTime': classTime.endTime,
... | timtraversy/GWU-Scrape-Python | emerson-scrape.py | emerson-scrape.py | py | 12,340 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pytz.timezone",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "firebase_admin.credentials.Certificate",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "firebase_admin.credentials",
"line_number": 87,
"usage_type": "name"
},
{
"a... |
17509722663 | '''
Problem Statement
Your company has a big conference coming up and needs to book conference rooms in a convention center. To help the company save budget, we want to book as few conference rooms as possible given a list of meeting schedules that contains only the starting and ending time of each meeting. Write a pro... | soji-omiwade/cs | dsa/before_rubrik/minimum_rooms.py | minimum_rooms.py | py | 1,937 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 37,
"usage_type": "name"
}
] |
21721374854 | import os
import math
import json
import librosa
from settings import (
SAMPLE_RATE,
NUM_MFCC,
N_FTT,
HOP_LENGTH,
NUM_SEGMENTS,
DURATION,
)
DATASET_PATH = "data\\archive\\Data\\genres_original" # loaded using the GTZAN Music Genre Classification dataset at https://www.kaggle.com/... | jmrossi98/genre_detect | src/preprocess_data.py | preprocess_data.py | py | 2,051 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "settings.SAMPLE_RATE",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "settings.DURATION",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "settings.NUM_SEGMENTS",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "math.cei... |
12423871357 | __author__ = "Vanessa Sochat, Alec Scott"
__copyright__ = "Copyright 2021-2023, Vanessa Sochat and Alec Scott"
__license__ = "Apache-2.0"
import json
import os
import re
import shlex
import subprocess
import pakages.builders.spack.cache as spack_cache
import pakages.client
import pakages.oras
import pakages.utils
fro... | syspack/pakages | pakages/builders/spack/client.py | client.py | py | 5,794 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "pakages.builders.spack.cache.client",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "pakages.builders.spack.cache",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "shlex.split",
"line_number": 32,
"usage_type": "call"
},
{
... |
42111163390 | from fastapi import Body, FastAPI
from pydantic import BaseModel
from typing import Annotated
from enum import Enum
app = FastAPI()
class ModelName(str, Enum):
afs = "afs"
har = "har1"
class Item(BaseModel):
name: str
description: str | None = None
price: float
tax: float | None = None
... | mkilic20/task | testing.py | testing.py | py | 1,663 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "enum.Enum",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "pydantic.BaseModel",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Annotated",
"l... |
11332000472 | # -*- coding: utf-8 -*-
"""
Created on Thu Jul 1 10:10:45 2021
@author: 82106
"""
import cv2
import os
import sys
if not os.path.exists('result'):
os.makedirs('result')
capture = cv2.VideoCapture(1)
if not capture.isOpened():
print('Camera open failed!')
sys.exit()
'''
frameWidth = int(capture.get(cv... | dongwooky/Personal-Project | container/camera_screenshot.py | camera_screenshot.py | py | 1,084 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.exists",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_... |
44602770515 | import pytesseract
import PIL
from os import system
import re
system("tesseract -l")
class workout:
reps = 0
exercise_name = ""
def compile_text_to_workouts(text):
workouts = []
num = 0
for word in text:
new_workout = workout()
if word.isdigit():
new_workout.reps ... | reeyagup/GetFit | image_to_text.py | image_to_text.py | py | 972 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.system",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pytesseract.image_to_string",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 35,
"usage_type": "call"
}
] |
19040286888 | from typing import Dict, List, Optional, Tuple, Union
import numpy as np
from rl_nav import constants
from rl_nav.environments import wrapper
try:
import cv2
import matplotlib
from matplotlib import cm
from matplotlib import pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable
exc... | philshams/Euclidean_Gridworld_RL | rl_nav/environments/visualisation_env.py | visualisation_env.py | py | 6,969 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "rl_nav.environments.wrapper.Wrapper",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "rl_nav.environments.wrapper",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "matplotlib.cm.get_cmap",
"line_number": 22,
"usage_type": "call"
}... |
20093575148 | # General
import os
# Tools/utils
import itertools
import multiprocessing
from tqdm.notebook import tqdm
from tqdm import tqdm as tqdm_cli
from functools import reduce # for aggregate functions
from itertools import chain # for aggregate functions
# Data management
import math
import numpy as np
import pandas as pd... | masyahook/Single-cell-gene-regulatory-networks | scGRN/func.py | func.py | py | 43,101 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "wordcloud.STOPWORDS.union",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "wordcloud.STOPWORDS",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "functools.reduce",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "pandas... |
35299316629 | # -*- coding: utf-8 -*-
import xml.etree.ElementTree as ET
from xml.etree import ElementTree as etree
from xml.dom import minidom
import untangle
def xml_generator(input_filename, input_foldername, exif_list, root_path):
root = ET.Element('annotation')
source = ET.SubElement(root, 'source')
image_dat... | simonchanper/ml_ann | ann_tools_eric/xml_process.py | xml_process.py | py | 2,403 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "xml.etree.ElementTree.Element",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "xml.etree.ElementTree.SubElement",
"line_number": 11,
"usage_type": "call"
},
{
... |
4516368952 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Author: Xiaoy LI
# Description:
# run_machine_comprehension.py
# Please Notice that the data should contain
# multi answers
# need pay MORE attention when loading data
import os
import argparse
import numpy as np
import random
import torch
from data_load... | wusongxu/mrc-for-flat-nested-ner | run/train_bert_mrc.py | train_bert_mrc.py | py | 14,951 | python | en | code | null | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "random.seed",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "numpy.random",
... |
5759183851 | #!/usr/bin/python
# -*- coding: utf-8 -*-
'''
@AUTHOR:Joselyn Zhao
@CONTACT:zhaojing17@foxmail.com
@HOME_PAGE:joselynzhao.top
@SOFTWERE:PyCharm
@FILE:main.py
@TIME:2019/6/13 10:32
@DES:
'''
import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
old_v = tf.logging.get_verbosity()
tf.logging.set_ver... | joselynzhao/DeepLearning.Advanceing | DL_6/work/main.py | main.py | py | 2,860 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "tensorflow.logging.get_verbosity",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tensorflow.logging",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.logging.set_verbosity",
"line_number": 18,
"usage_type": "call"
},
... |
36670049284 | import matplotlib.pyplot as plt
# from mpl_toolkits.axes_grid1 import ImageGrid
# import numpy as np
from os import listdir
from os import chdir
from os import path
from PIL import Image
# import matplotlib.gridspec as gridspec
import argparse
parser = argparse.ArgumentParser(description="generate plot for report")
pa... | ThijsvdBurg/Husky_scripts | data_visualization/plot scripts/plot_results.py | plot_results.py | py | 1,911 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"lin... |
32044432835 | import re
import io
keywords=["int","void","main","print"]
operators = { '=': 'Assignment Operator','+': 'Additon Operator', '-' : 'Substraction Operator', '/' : 'Division Operator', '*': 'Multiplication Operator'}
optr_keys = operators.keys()
symbols = {';':'semi_colon','{' : 'left_brace', '}':'right_brace'... | Ashwintlp/CD-Mini-Project | lexical_analyser.py | lexical_analyser.py | py | 3,333 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "re.findall",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 94,
... |
35986807996 | import datetime
import os
# From https://www.quora.com/Whats-the-best-spaced-repetition-schedule. Not really scientific, but it seems decent.
schedule = [1, 2, 3, 5, 8, 13, 21, 34, 55, 89]
if __name__ == '__main__':
today = datetime.date.today()
schedule_days = [today - datetime.timedelta(days=i) for i in sc... | cgrebosky/SpacedRepetitionReminder | main.py | main.py | py | 779 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.date.today",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "datetime.timedelta",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.system",
... |
24044811304 | #compare parameter between abc-smc
import seaborn as sns
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import sys
from scipy import stats
from matplotlib.colors import LogNorm, Normalize
from scipy.signal import argrelextrema
filename=["ACDC_X2","ACDC_Y2","ACDC_Z2"]#,"ACDC_all"]
#filename=['A... | icvara/AC-DC | compareplot.py | compareplot.py | py | 14,082 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.insert",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "model_equation.parlist",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "numpy.loadt... |
10858272527 |
# coding: utf-8
# In[1]:
from pandas import DataFrame, read_csv
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
from sklearn.decomposition import TruncatedSVD
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.feature_extraction.text import HashingVectorizer
from skle... | TejaishwaryaGagadam/music_genre_predictor | K_Means_Clustering.py | K_Means_Clustering.py | py | 4,472 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.nan",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "numpy.unique",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_... |
28713863068 | import torch
import pandas as pd
import os
from shutil import copy
from utils import fix_randomness, save_to_df, _logger, report_results, get_nonexistant_path, copy_Files
from dataloader.dataloader import data_generator
from trainer.training_evaluation import cross_domain_test
from datetime import datetime
from iterto... | mohamedr002/SLARDA | Autorgressive_Adaptation/train_CD.py | train_CD.py | py | 6,844 | python | en | code | 23 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "torch.device",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "args.args.device... |
31965379047 | #!/usr/bin/env python3
import numpy as np
import urllib.request
import cv2
import binascii
import lorem
import math
import matplotlib.pyplot as plt
def encode_as_binary_array(msg):
"""Encode a message as a binary string."""
msg = msg.encode("utf-8")
msg = msg.hex()
msg = [msg[i:i + 2] for i in range(0... | damiankoper/iobLab | ex2.py | ex2.py | py | 3,584 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "binascii.unhexlify",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.copy",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.copy",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number... |
9650271610 | from tornado.web import RequestHandler
from tornado.web import gen
from controller import favoriteTopicController
import json
# 收藏话题
class AddFavoriteTopic(RequestHandler):
@gen.coroutine
def post(self):
session_id = self.get_argument('session_id')
topicId = self.get_argument('topicId... | zhuxiyulu/sugar | handlers/favoriteTopicHandler.py | favoriteTopicHandler.py | py | 1,145 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "tornado.web.RequestHandler",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "controller.favoriteTopicController.createFavoriteTopic",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "controller.favoriteTopicController",
"line_number": 12,
... |
71476890109 | import torch
import torch.nn as nn
import torch.optim as optim
from torch.autograd import grad
import numpy as np
from torch.autograd import Variable
from collections import OrderedDict
class Discriminator(nn.Module):
def __init__(self, input_size, hidden_size, batch_size, dp_keep_prob):
super(Discrimi... | gchafouleas/IFT6135_Assignment3 | discriminator.py | discriminator.py | py | 3,131 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"lin... |
72531832829 | """add cluster id in comp_runs
Revision ID: 83f9d2a470ef
Revises: dd8220be55ad
Create Date: 2021-08-31 20:02:45.709839+00:00
"""
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = "83f9d2a470ef"
down_revision = "dd8220be55ad"
branch_labels = None
depends_on = None
de... | ITISFoundation/osparc-simcore | packages/postgres-database/src/simcore_postgres_database/migration/versions/83f9d2a470ef_add_cluster_id_in_comp_runs.py | 83f9d2a470ef_add_cluster_id_in_comp_runs.py | py | 980 | python | en | code | 35 | github-code | 6 | [
{
"api_name": "alembic.op.add_column",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.BigInte... |
22791755556 | import sys
sys.path.insert(0, '../../class')
import os
import time
import nnet
import cubelattice as cl
import multiprocessing
from functools import partial
from scipy.io import loadmat
import numpy as np
import argparse
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Verification Settin... | Shaddadi/veritex | examples/Microbenchmarks/main.py | main.py | py | 1,739 | python | en | code | 10 | github-code | 6 | [
{
"api_name": "sys.path.insert",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "scipy.io.loadmat"... |
22186680287 |
import os
from flask import Flask, render_template, request, redirect, url_for
from werkzeug.utils import secure_filename
from main import classify_image # imports function from main.py
app = Flask(__name__, static_url_path='/static')
app.config['UPLOAD_FOLDER'] = 'static/uploads'
@app.route('/')
d... | princemexy/Cervical-cell-classification-using-various-Deep-Learning-Models | app.py | app.py | py | 1,115 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.request.files",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "flask.reque... |
70329767867 | import requests, re, os, json
import urllib.request
import urllib.parse
from bs4 import BeautifulSoup
class Check_Influences(object):
def __init__(self):
self.folder_data_name = '../../files/data'
self.json_name_link = '../../files/name_links.json'
self.good_json_file_name = '../../files/good_name_links.json... | LucaTomei/Computer_Scientists | src/Second_Phase/check_influences.py | check_influences.py | py | 4,271 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number"... |
74796407546 | import torchvision
from torch import nn
# train_dataset = torchvision.datasets.ImageNet(root="../dataset_ImageNet", transform=torchvision.transforms.ToTensor(),
# split='train', download=True)
vgg16 = torchvision.models.vgg16(pretrained=False)
vgg16_pretrain = torchvision.... | ccbit1997/pytorch_learning | src/model_change.py | model_change.py | py | 737 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torchvision.models.vgg16",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torchvision.models",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torchvision.models.vgg16",
"line_number": 7,
"usage_type": "call"
},
{
"api_name":... |
7935267536 | import random
import cv2
import numpy
import pygame
# 单个粒子
class Particle():
def __init__(self, rect, w):
self.rect = rect
self.w = w
self.dis = 0
self.hist = []
self.dx = 0
self.dy = 0
def update(self, pixelArray, width, height):
self.rect.centerx =... | 2015211289/pygame | auto_review.py | auto_review.py | py | 12,073 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "random.gauss",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "random.gauss",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_RGB2HSV",
"line_... |
23759924215 | import requests
import json
def test_shorten_new_url():
orig_url = "http://google.com"
resp = requests.post("http://localhost:8888/shorten", params={"orig_url":orig_url})
url = json.loads(resp.text).get("url")
resp = requests.post("http://localhost:8888", params={"short_url": url})
assert (resp.url... | anandjeyahar/urlshortener | test_url_shorten.py | test_url_shorten.py | py | 421 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "requests.post",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 8,
"usage_type": "call"
}
] |
43969342716 | #!/usr/bin/env python
import argparse
from Bio import SeqIO
def extract_starts(fasta):
codon_usage = {}
for record in SeqIO.parse(fasta, "fasta"):
seq = record.seq[0:3]
sseq = str(seq)
try: # If key exists, count += 1
codon_usage[sseq] = (codon_usage[sseq][0] + 1, seq)
... | TAMU-CPT/galaxy-tools | tools/fasta/start_stats.py | start_stats.py | py | 950 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "Bio.SeqIO.parse",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "Bio.SeqIO",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "argparse.FileType",
... |
71504118267 | from __future__ import annotations
from io import BufferedIOBase, BytesIO
from typing import List, Optional
from helper import (
byte_to_int,
encode_varstr,
hash160,
int_to_byte,
int_to_little_endian,
little_endian_to_int,
read_varint,
sha256,
)
from op import (
decode_num,
enc... | jimmysong/minipy | script.py | script.py | py | 13,382 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "typing.Optional",
"line_number": 57,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 57,
"usage_type": "name"
},
{
"api_name": "op.OP_CODE_NAMES.get",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "op.OP_CODE_NAMES",
... |
1445709781 | from datetime import datetime
import pandas as pd
import numpy as np
import quandl
from arctic.exceptions import NoDataFoundException
from .base import BaseBacktestObject
from ..utils import keys
from ..utils.config import AdagioConfig
from ..utils.const import (FutureContractMonth, Denominator, PriceSkipDates,
... | thoriuchi0531/adagio | adagio/layers/contract.py | contract.py | py | 14,880 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "utils.logging.get_logger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "base.BaseBacktestObject",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "base.BaseBacktestObject",
"line_number": 27,
"usage_type": "name"
},
{
"api_name... |
39399812817 | import os
import sys
from functools import partial
from typing import List, Tuple
import numpy as np
import tensorflow as tf
from custom_utils import *
# ------------------------- Function for building cnn ------------------------ #
def build_cnn(filters_list: List[int],
conv2d_regularizer_decay: flo... | YangWu1227/python-for-machine-learning | neural_network/projects/cnn_mnist_classification_sagemaker/src/train_entry.py | train_entry.py | py | 5,786 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "functools.partial",
"line_nu... |
25070637475 | import graphene
from graphene.types import generic
from graphene_django.rest_framework.serializer_converter import (
convert_serializer_to_input_type as serializer_to_input,
)
from purplship.server.core import serializers
from purplship.server.serializers import make_fields_optional, exclude_id_field
import purpls... | danh91/purplship | server/modules/graph/purplship/server/graph/extension/base/inputs.py | inputs.py | py | 7,522 | python | en | code | null | github-code | 6 | [
{
"api_name": "purplship.server.serializers.make_fields_optional",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "purplship.server.graph.serializers.AddressModelSerializer",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "purplship.server.graph.serialize... |
3901687808 | from copy import copy
import pygame
from pygame.math import Vector2, Vector3
from pygame.locals import *
import pygame_gui
from pygame_gui.elements.ui_text_box import UITextBox
from utils import *
from cube import Cube
from hero import Direction
from gold import Gold
from chest import Chest
from box import Box
from ... | odrevet/isometric-map | game.py | game.py | py | 13,216 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.time.Clock",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pygame.time",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pygame.dis... |
72496131069 | import json
import logging
import os
import requests
from django.http import JsonResponse
from django.shortcuts import redirect
from dotenv import load_dotenv
from rest_framework import status, permissions, response, views
from rest_framework_simplejwt import tokens
from rest_framework_simplejwt.tokens import Refresh... | Rahmet97/TestProjectBackend | oneid/views.py | views.py | py | 8,211 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "dotenv.load_dotenv",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "rest_framework.views.APIView",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name":... |
26284510734 | """Makes POST requests to the openai API to find three main topics relating to the article title"""
import re
from datetime import datetime
import json
import pandas as pd
CURRENT_TIMESTAMP = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
JSON_FILE = f'response.json'
def read_response_json() -> list[dict]:
"""Ex... | IADesai/media-sentiment | tagging_pipeline/transform.py | transform.py | py | 2,522 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "json.load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "re.findall",
"lin... |
8530766170 | from application import app, db
from flask import render_template, request, redirect, url_for
from flask_login import login_required
from flask_user import roles_required
from application.vehicles.models import Vehicle
from application.vehicles.forms import VehicleForm
@app.route("/vehicles/new/")
@roles_required('A... | skoskipaa/VehicleLogs | application/vehicles/views.py | views.py | py | 1,144 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.render_template",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "application.vehicles.forms.VehicleForm",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "application.app.route",
"line_number": 10,
"usage_type": "call"
},
{
... |
22416441261 | import numpy as np
import math
from gridmap2d import *
from bresenham_algorithm import *
import matplotlib.pyplot as plt
from matplotlib.patches import Ellipse, Circle
from matplotlib.animation import ArtistAnimation
def pose2transform(pose):
"""
@brief convert (x, y , yaw) to transform matrix
@param pose:... | democheng/PythonRobotics | SLAM/test.py | test.py | py | 3,620 | python | en | code | 15 | github-code | 6 | [
{
"api_name": "numpy.identity",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "math.cos",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "math.sin",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "math.sin",
"line_number": 19,
... |
20240957628 | """
This file contains the definition of the SMPL model
"""
from __future__ import division, print_function
import torch
import torch.nn as nn
import numpy as np
try:
import cPickle as pickle
except ImportError:
import pickle
from pyrender import PerspectiveCamera, \
DirectionalLight, SpotLight, PointLig... | ZhengZerong/PaMIR | networks/neural_voxelization_layer/smpl_model.py | smpl_model.py | py | 10,840 | python | en | code | 179 | github-code | 6 | [
{
"api_name": "torch.stack",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "torch.norm",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "torch.unsqueeze",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "torch.div",
"line_number":... |
27679628120 | #!/usr/bin/env python
# https://github.com/drf5n/drf5n-public/blob/master/gdalwarp2match.py
from osgeo import gdal, gdalconst
import argparse
parser = argparse.ArgumentParser(description='Use GDAL to reproject a raster to match the extents and res of a template')
parser.add_argument("source", help="Source file")
par... | comet-licsar/licsar_proc | python/gdalwarp2match.py | gdalwarp2match.py | py | 1,620 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "osgeo.gdal.Open",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "osgeo.gdal",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "osgeo.gdalconst.GA_... |
12294385591 | import matplotlib.pyplot as plt
from wordcloud import WordCloud
import jieba
import pandas as pd
import os
import jieba.analyse
positiondata= pd.read_excel('positiondata.xlsx')
position_detail = positiondata['position_detail']
detail_list = []
for detail in position_detail:
detail_list.append(str(detail).replace(... | woinews/lagou_position | Position_WordCloud.py | Position_WordCloud.py | py | 1,136 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "pandas.read_excel",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "jieba.analyse.set_stop_words",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "jieba.analyse",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "jieb... |
26277293350 | import functools
import logging
import os
import Bio.Seq
import Bio.SeqRecord
import six
from . import conf, errors
logger = logging.getLogger(__name__)
configs = conf.CONFIGS
ELASPIC_LOGO = """
8888888888 888 d8888 .d8888b. 8888888b. 8888888 .d8888b.
888 888 d88888 d88P Y88b 888 ... | elaspic/elaspic | elaspic/pipeline.py | pipeline.py | py | 3,833 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "six.string_types",
"line_number": 63,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "Bio.Seq.Seq",
"... |
70954029949 | # OO style
import matplotlib.pyplot as plt
data_uas = [['Bejo', 70],
['Tejo', 83],
['Cecep', 62],
['Wati', 74],
['Karti', 71]
]
fig, ax = plt.subplots()
table = plt.table(cellText = data_uas, loc = 'center')
table.set_fontsize(14)
table.scale(.5, 2) # ukura... | yusrilarzaqi/Matplotlib-Indonesia-belajar | 07--Table Plot/1.py | 1.py | py | 383 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.table",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "... |
15285571367 | from os.path import isfile
import pandas as pd
import logging
from io import BytesIO
from django.http import HttpResponse, JsonResponse, HttpResponseNotFound, Http404
from django.contrib.auth.mixins import LoginRequiredMixin
from django.views import generic, View
from django.db import transaction, IntegrityError
from... | LewisResearchGroup/ProteomicsQC | app/maxquant/views.py | views.py | py | 8,789 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "forms.SearchResult",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "models.Result.objects.filter",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "models.Result.objects",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_na... |
44738680071 | import spacy
from spacy.lang.en.stop_words import STOP_WORDS
from heapq import nlargest
class SpacyStrategy:
def summarize_from_text(self, text):
raw_text = text
stopwords = list(STOP_WORDS)
nlp = spacy.load('en')
docx = nlp(raw_text)
# Build Word Frequency
# word.... | andredantasrocha/contact-summarizer | summarization/spacy_strategy.py | spacy_strategy.py | py | 1,691 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "spacy.lang.en.stop_words.STOP_WORDS",
"line_number": 9,
"usage_type": "argument"
},
{
"api_name": "spacy.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "heapq.nlargest",
"line_number": 43,
"usage_type": "call"
}
] |
6827006318 | '''
$Id: gvars.py 44 2010-10-11 11:24:33Z goffer.looney@gmail.com $
'''
from datetime import datetime, date
from models import Global_Var
from django.conf import settings
from django.core.cache import cache
''' see gsettings.models.Global_Var_Type '''
VAR_TYPE_STRING = 1
VAR_TYPE_INT = 2
VAR_T... | kingsdigitallab/eel | django/gsettings/gvars.py | gvars.py | py | 5,370 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "models.Global_Var.objects.filter",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "models.Global_Var.objects",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "models.Global_Var",
"line_number": 43,
"usage_type": "name"
},
{
... |
4668550364 | from django.core.exceptions import PermissionDenied
class UserIsAuthorMixin(object):
"""
Checks that the user is the author of the object. If they are not, raise a
403 error
"""
def dispatch(self, request, *args, **kwargs):
if request.user.is_authenticated and request.user.profile.pk is no... | hotwire-django/hotwire-django-realworld | articles/mixins.py | mixins.py | py | 468 | python | en | code | 31 | github-code | 6 | [
{
"api_name": "django.core.exceptions.PermissionDenied",
"line_number": 11,
"usage_type": "name"
}
] |
29150918130 | import os
import torch
import torchmetrics
from pathlib import Path
# Huggingface datasets and tokenizers
from tokenizers import Tokenizer
from tokenizers.models import WordLevel
from tokenizers.trainers import WordLevelTrainer
from tokenizers.pre_tokenizers import Whitespace
os.environ["TOKENIZERS_PARALLELISM"] = "t... | swapniel99/erav1s15 | utils.py | utils.py | py | 5,016 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "torch.cuda.de... |
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