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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
71935445663 | import datetime
import hashlib
import http.client
import os.path
import textwrap
import unittest
from unittest import mock
# pylint: disable=wrong-import-order, import-error
from dulwich.objects import Tree
# pylint: enable=wrong-import-order, import-error
from cros.factory.hwid.service.appengine import git_util
from... | arccode/factory | py/hwid/service/appengine/git_util_test.py | git_util_test.py | py | 10,430 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "unittest.TestCase",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "cros.factory.hwid.service.appengine.git_util.MemoryRepo",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "cros.factory.hwid.service.appengine.git_util",
"line_number": ... |
20107622704 | import numpy as np
import io
import logging
import time
from pydub import AudioSegment
from voice_assistant_basic import VoiceAssistantBasic
import telegram_bot
import fire
class VoiceAssistantTelegram(VoiceAssistantBasic):
"""
The VoiceAssistantTelegram class extends VoiceAssistantBasic and provides a Te... | analyst20172018/voice_assistant | voice_assistant/voice_assistant_telegram.py | voice_assistant_telegram.py | py | 6,915 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "voice_assistant_basic.VoiceAssistantBasic",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "logging.DEBUG",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 35,
"usage_type": "call"
},
{
"ap... |
70496903582 | """=============================================================================
Train a deep CCA model.
============================================================================="""
import argparse
import time
import torch
import torch.utils.data
from torch import optim
import cuda
from data import loader
fr... | KaiqianZhang/dpcca_v8 | scripts/traindcca.py | traindcca.py | py | 4,125 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "torch.mm",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "cuda.device",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pprint.set_logfiles",
"line_n... |
38196078423 | from django.shortcuts import render
from .models import Entry
def main(request):
if request.user.is_staff:
is_admin = True
else:
is_admin = False
return render(request, 'pages/main.html', {'is_admin': is_admin})
def table(request):
entries = Entry.objects.all()
if request.user.is... | dayterr/wordformsdb | wordformsdb/pages/views.py | views.py | py | 478 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.shortcuts.render",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "models.Entry.objects.all",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "models.Entry.objects",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_na... |
42444169455 | from collections import OrderedDict
def main():
#A list of sport teams with wins and loses
sportTeams = [("Rovals", (10, 12)), ("Dragons", (20, 12)), ("Cats", (3, 12)), ("Blakes", (31, 10)),
("Rockets", (10, 9))]
sortedTeams = sorted(sportTeams, key=lambda t: t[1][0], reverse=True)
... | indikaimk/learn_python | advanced/ordered_dict.py | ordered_dict.py | py | 880 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "collections.OrderedDict",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 25,
"usage_type": "call"
}
] |
13111640120 | #~*~ coding: utf-8 ~*~
from django.shortcuts import render, redirect
from django.contrib.auth.decorators import login_required
from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.models import User
from virtenviro.registration.models import UserProfile
from virtenviro.registration.forms... | Schturmfogel/virtenviro | virtenviro/registration/views.py | views.py | py | 2,404 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.contrib.auth.models.User",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "virtenviro.registration.models.UserProfile",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "virtenviro.registration.forms.UserForm",
"line_number": 15,
"u... |
5615680799 | import random
import sys
from pynput.keyboard import Key, Controller
import chess
import time
import re
from urllib.request import urlopen
#from moves import get_best_move
from moves import get_best_move
from ctypes import *
## C STUFF
so_file = "./board.so"
c_funcs = CDLL(so_file)
c_funcs.hax.restype = c_funcs.hax... | tormobr/li_fish | lichess/scraper.py | scraper.py | py | 2,520 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pynput.keyboard.Controller",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "chess.Board",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
1414611048 | from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain.document_loaders import PyPDFLoader
from langchain.document_loaders import ReadTheDocsLoader
from langchain.document_loaders import Docx2txtLoader
from langchain.document_loaders import UnstructuredWordDocumentLoader
from langchain.embedd... | faizan1041/doc-understanding-gpt-langchain | local_vector_store.py | local_vector_store.py | py | 2,029 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "hashlib.md5",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_numb... |
8124199948 | import numpy
import os
import sys
import csv
import scipy.io
import pickle
import time
import datetime
import glob
import numpy
import cv2
from sklearn.cluster import KMeans
###
def BGR2HSV(image):
image_hsv = cv2.cvtColor(image, cv2.COLOR_BGR2HSV) * 1.
image_hsv[:,:,0] /= 180.
image_hsv[:,:,1] /= 255.
... | satoshi-kosugi/crowd-powered | datasetAcquisition.py | datasetAcquisition.py | py | 3,582 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "cv2.cvtColor",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2HSV",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "cv2.cvtColor",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"l... |
10042395997 | '''
Nombre: Jonathan Granillo Robledo
Grupo: 21
Fecha:25/02/2021
Descripción: la computadora aprendera a diferenciar entre un iphone 12 y un samsung s21 ultra
'''
import requests
# This function will pass your text to the machine learning model
# and return the top result with the highest confidence
def clasificar(tex... | jonathan966/poo-1720110004 | semana6/smartphone.py | smartphone.py | py | 1,140 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
}
] |
9317849786 | from __future__ import absolute_import
import inspect
import os
import psutil
from collections import namedtuple
from pikos._internal.trace_functions import TraceFunctions
from pikos._internal.keep_track import KeepTrack
LINE_MEMORY_RECORD = (
'index', 'function', 'lineNo', 'RSS', 'VMS', 'line', 'filename')
... | fabianp/pikos | pikos/monitors/line_memory_monitor.py | line_memory_monitor.py | py | 4,343 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "collections.namedtuple",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.linesep",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "os.linesep",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "pikos._interna... |
11628032545 | from api.router import api_router
from fastapi import FastAPI
from fastapi_pagination import add_pagination
def get_app() -> FastAPI:
"""
Get FastAPI application.
This is the main constructor of an application.
:return: application.
"""
app = FastAPI(
title="🏢 Inventory Managment",
... | IMaG1337/inventory_managment | app/core/app.py | app.py | py | 593 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "fastapi_pagination.add_pagination",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "api.router.api_router",
"line_number": 23,
"usage_type": "name"
},
{
"api_name"... |
28030867157 | import pyshark
import argparse
import sys
import os
from configuration import change_config_file, config_reader
class Parser:
def run_arguments(self):
global args, parser
parser = argparse.ArgumentParser(description="Check traffic")
group = parser.add_mutually_exclusive_group()
gro... | Geulmaster/NetworkShark | cli.py | cli.py | py | 1,656 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "configuration.config_reader",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "con... |
11022731437 | import os
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from flask_migrate import Migrate
import logging
db = SQLAlchemy()
migrate = Migrate()
def create_app():
app = Flask(__name__)
app.config["SQLALCHEMY_DATABASE_URI"] = os.environ.get("DATABASE_URL")
db.init_app(app)
migrate.init_... | alexrothos/project_up | app/__init__.py | __init__.py | py | 878 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask_migrate.Migrate",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.enviro... |
7941228839 | import cv2
from networktables import NetworkTables
from grip import GripPipeline
def extra_processing(pipeline):
center_x = []
center_y = []
widths =[]
heights = []
align = 0
for contour in pipeline.filter_contours_output:
#Determines the bounding boxes around the target contours
... | Talon540/Camera-Tracking-2017 | track.py | track.py | py | 2,148 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "cv2.boundingRect",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "networktables.NetworkTables.getTable",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "networktables.NetworkTables",
"line_number": 45,
"usage_type": "name"
},
{
... |
35770491964 | import pandas
import re
import numpy as np
from nltk import tokenize
from nltk.corpus import stopwords
import string
from tensorflow.keras.preprocessing.text import Tokenizer
from tensorflow.keras.preprocessing.sequence import pad_sequences
import tensorflow as tf
class AITA_Generator(tf.keras.utils.Sequence):
d... | MalcolmMielle/AITA_tensorflow | utils/get_data.py | get_data.py | py | 2,887 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "tensorflow.keras",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "numpy.ceil",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.int",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
... |
22654165097 | from typing import Any, Dict
from theseus.base.metrics.metric_template import Metric
from theseus.base.utilities.logits import logits2labels
class Accuracy(Metric):
"""
Accuracy metric
"""
def __init__(self, label_type: str = "multiclass", **kwargs):
super().__init__(**kwargs)
self.t... | kaylode/theseus | theseus/base/metrics/accuracy.py | accuracy.py | py | 1,085 | python | en | code | 30 | github-code | 7 | [
{
"api_name": "theseus.base.metrics.metric_template.Metric",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "the... |
5576993305 | from django.urls import path
from .views import *
from .forms import CustomAuthForm
app_name = 'accounts'
urlpatterns = [
path('signup/', SignupView.as_view(), name='signup'),
path('signup/resend-email', ResendActivationView.as_view(), name='resend-email'),
path('login/', CLoginView.as_view(authentication... | someonecoding/cod3folio | accounts/urls.py | urls.py | py | 1,378 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "forms.CustomAuthForm... |
17139979734 | import imp
from core.base import BaseClass, exc_handler
import requests
from secrets import mail_host, api_key, mail_from, attach_name, cancel_message, apply_message
from pprint import pprint
from models.schemes import Meeting
class DBNotificationController(BaseClass):
def __init__(self):
BaseClass.__ini... | pashkatrick/meetty | core/notification_controller.py | notification_controller.py | py | 1,521 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "core.base.BaseClass",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "core.base.BaseClass.__init__",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "core.base.BaseClass",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "s... |
21345657544 | import asyncio
import click
import urllib
import wave
import numpy as np
from typing import Optional, List
from nptyping import NDArray
from pydantic import BaseSettings
from metta import SourceConfig, SourceProcessor, NewMessage, time_utils
class Authorization(BaseSettings):
TYPE: str = "Bearer"
VALUE: str... | dream3d-ai/metta-python | metta/processors/audio/url_audio_source.py | url_audio_source.py | py | 2,045 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pydantic.BaseSettings",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "metta.SourceConfig",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "metta.Source... |
27745737770 | import numpy as np
import sympy as sym
from sympy.utilities.autowrap import ufuncify
# constants
# cart mass
m1 = 1.0
# pole mass
m2 = 0.3
# pole length
l = 0.5
# gravity
g = 9.81
#symbolic equations
#using x=q1 theta=q2 v=q.1 omega=q.2
x = sym.Symbol("x")
theta = sym.Symbol("theta")
v = sym.Symbol("v")
omega... | NoNotCar/LapyMiniProject | dynamics.py | dynamics.py | py | 1,311 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sympy.Symbol",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sympy.Symbol",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sympy.Symbol",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sympy.Symbol",
"line_numbe... |
11981331706 | import asyncio
from playground.network.packet import PacketType
from playground.network.packet.fieldtypes import INT, BOOL
import random
class PlaneClient(asyncio.Protocol):
def __init__(self):
self.transport = None
def connection_made(self, transport):
print("client connected")
self.t... | dansmillie/netsec | netsec_fall2017/lab_1d/client.py | client.py | py | 1,285 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "asyncio.Protocol",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "playground.network.packet.PacketType.Deserializer",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "playground.network.packet.PacketType",
"line_number": 13,
"usage_t... |
12089945843 | from lib import BuildTask
from tempfile import NamedTemporaryFile
from humanize import naturalsize
class MyTask(BuildTask):
def __init__(self):
super().__init__(self)
self.extra_parsers = [['-t', '--target']]
def handler():
"""do my thing"""
with NamedTemporaryFile(delete_on_c... | cloud-gov/pages-cf-build-tasks | tasks/example/definition.py | definition.py | py | 435 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "lib.BuildTask",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "tempfile.NamedTemporaryFile",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "humanize.naturalsize",
"line_number": 14,
"usage_type": "call"
}
] |
23373782992 | #PIPELINE GALO VERSION JON
#!/usr/bin/env python
# Standard library imports
import os
import sys
import re
import argparse
import subprocess
import pandas as pd
import numpy as np
def get_arguments():
parser = argparse.ArgumentParser(prog = 'snp_covid19.py', description = 'Pipeline to do variant calling with ... | JonDoe3389/sarscov2_analysis | snp_covid_final.py | snp_covid_final.py | py | 34,519 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "os.walk",
"l... |
74578323424 | import copy
import csv
import ctypes
import logging
import os
import smtplib
import time
from email.mime.application import MIMEApplication
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from email.utils import COMMASPACE, formatdate
from datetime import datetime, date
from os.path ... | aryankeshri/Desktop_application_catcher | tracker_email.py | tracker_email.py | py | 6,363 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "logging.FileHandler",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.Formatter",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.environ.ge... |
73911036062 | """
The read4 API is already defined for you.
@param buf, a list of characters
@return an integer
def read4(buf):
# Below is an example of how the read4 API can be called.
file = File("abcdefghijk") # File is "abcdefghijk", initially file pointer (fp) points to 'a'
buf = [' '] * 4 # Create buffer with eno... | cs-cordero/interview-prep | leetcode/0158_read_n_characters_given_read4_ii.py | 0158_read_n_characters_given_read4_ii.py | py | 1,255 | python | en | code | 9 | github-code | 7 | [
{
"api_name": "collections.deque",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 28,
"usage_type": "name"
}
] |
12738698575 | from flask import Flask, render_template, request
from flask_wtf import FlaskForm
from wtforms import StringField, SubmitField
from wtforms.validators import DataRequired
from requests import get
import urllib.parse
import languages
app = Flask("Flask-2")
app.config['SECRET_KEY'] = "sg16hs6h9ilm738fr5sgh54fkp0sw"
cl... | IonShieldQuad/Flask-2 | __main__.py | __main__.py | py | 1,580 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask_wtf.FlaskForm",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "wtforms.StringField",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "wtforms.validators... |
71363501663 | from os import mkdir
from datetime import datetime
from behave.__main__ import main as behave_main
from argparse import ArgumentParser
parser = ArgumentParser()
parser.add_argument("-t", "--tags", default=None, help="Desired tags to run, multiple tags logic not implemented now")
args = parser.parse_args()
tags = arg... | k37j/assigment_python | libs/runners/BehaveRunner.py | BehaveRunner.py | py | 685 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "behave... |
22479288196 | import numpy as np #matris işlemleri için kullanılır.
from sklearn.preprocessing import LabelBinarizer
#etiketleri binarize etmek için kullanılan kütüphanedir.
#Labellar binarize edilir ve sonuç döndürülür.
def labels():
LABELS = ["CARDBOARD", "GLASS", "METAL", "PAPER", "PLASTIC", "TRASH"]
labels = np.array(LA... | SerhatTurann/TezCalismalari | hafta4/GarbageTest/Tools.py | Tools.py | py | 714 | python | tr | code | 0 | github-code | 7 | [
{
"api_name": "numpy.array",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.LabelBinarizer",
"line_number": 9,
"usage_type": "call"
}
] |
74205759582 | # 信号量 Semaphore
# 互斥锁，同时只允许一个进程更改数据
# Semaphore 信号量是同时允许一定数量的线程更改数据
#
from multiprocessing import Process, Semaphore
import time
import random
def run(sem, user):
sem.acquire()
print('%s 进程' % user)
time.sleep(random.randint(0, 3))
sem.release()
if __name__ == '__main__':
sem = Semaphore(3)... | labulakalia/note | python_notes/一些代码/线程进程协程/进程/sem_process.py | sem_process.py | py | 763 | python | zh | code | 0 | github-code | 7 | [
{
"api_name": "time.sleep",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Semaphore",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "multiprocessing.P... |
37524288637 | import math
import torch
import torch.nn as nn
from torch import Tensor
from torch.nn.parameter import Parameter
import torch.nn.functional as F
class NormalizedLinear(nn.Module):
r"""Normalized linear layer which was proposed by Jiaqi Wang et. al. in
their technical report for LVIS workshop at ECCV 202... | zhaoyue-zephyrus/TeSTra | src/rekognition_online_action_detection/models/normalized_linear.py | normalized_linear.py | py | 2,021 | python | en | code | 82 | github-code | 7 | [
{
"api_name": "torch.nn.Module",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.Tensor",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "torch.nn.parameter.Paramet... |
41849176577 | # Exercise 2.5 - 1
# title : Performance of search algorithm
# version : 2022.03.02.
# author : kobong
import random
import timeit
from typing import List, Tuple, TypeVar
from generic_search import linear_contains, binary_contains
# Datatype modification
Codon = List[int] # Codon Type Alias
Gene = List[Codon] #... | meticulousdev/ClassicComputerScienceProblemsInPython | Chapter02/2022/list_search_million.py | list_search_million.py | py | 1,531 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "typing.List",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.TypeVar",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number... |
17577180148 | from typing import List
from fastapi import APIRouter, Depends
from hotels.repository import RepositoryHotels, RepositoryRooms
from hotels.shemas import SHotel, SRoom
from datetime import date
from users.permission import current_user
from users.databaseseq import User
from fastapi_cache.decorator import cache
... | pavelepanov/hotel_pet | src/hotels/router.py | router.py | py | 1,423 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "users.databaseseq.User",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "fastapi.Depends",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "users.permis... |
71448590303 | import numpy as np
import pyqtgraph as pg
import h5py
from pyqtgraph.dockarea import *
from pyqtgraph.parametertree import Parameter, ParameterTree
import json, os
from scipy.spatial import distance
import subprocess
import skimage.measure as sm
from psalgos.pypsalgos import PyAlgos # replacement for: from ImgAlgos.P... | lcls-psana/psocake | psocake/PeakFindingPanel.py | PeakFindingPanel.py | py | 49,028 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "pyqtgraph.parametertree.ParameterTree",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pyqtgraph.parametertree.Parameter.create",
"line_number": 214,
"usage_type": "call"
},
{
"api_name": "pyqtgraph.parametertree.Parameter",
"line_number": 214,
"... |
32680709552 | from flask import Flask, render_template, redirect , session , url_for , escape , request, Markup
from flask_bootstrap import Bootstrap
from flask_wtf import Form, RecaptchaField
from wtforms import TextField, ValidationError, SubmitField, FormField, validators
from wtforms.validators import Required
from iB... | jamesjara/jinja-flask-python-rpc-bitcoin | app/wallet.py | wallet.py | py | 2,988 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "flask_wtf.Form",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "wtforms.TextField",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "wtforms.validators.Required",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "wtforms.... |
36513152694 | from dataclasses import dataclass
import numpy as np
from server.service.strategy.base import BaseStrategy
@dataclass
class RoundRobinStrategy(BaseStrategy):
@staticmethod
def create_weight_list(size: int) -> list[float]:
weight_list = [0 for _ in range(size)]
weight_list[0] = 1
retu... | EtienneTurc/IChooseYou | server/service/strategy/round_robin.py | round_robin.py | py | 3,063 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "server.service.strategy.base.BaseStrategy",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "nump... |
21516496846 | from . import models
from django import forms
from allauth.account.forms import SignupForm
from django.contrib.auth.models import User, Group
from django.core.exceptions import ValidationError
from Include import validators
from crispy_forms.helper import FormHelper
from crispy_forms.layout import Layout, Fieldset, B... | ezekielreginio/Job-Management-System-SkillFind- | public_html/app_employer_dashboard/forms.py | forms.py | py | 15,457 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.forms.DateInput",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "django.forms.ModelForm",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "... |
36837617808 | from django.shortcuts import render
from .models import *
from .forms import *
from django.http import HttpResponse
from django.template import Template, Context, loader
import datetime
from AppUsuarios.forms import UsuarioForm
from django.contrib.auth.forms import AuthenticationForm, UserCreationForm
from django.contr... | JulianSVD/TrabajoFinal | AppUsuarios/views.py | views.py | py | 3,931 | python | es | code | 0 | github-code | 7 | [
{
"api_name": "AppUsuarios.forms.UsuarioForm",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 32,
"usage_type": "call"
},
{
"api... |
20689362049 | from pynput import keyboard
import clipboard
import threading
import globals
import time
import sys
import datetime
from GUI import DBList
class ClipboardListener(threading.Thread):
__CTRL = False
__COPY = False
__CTRL_Time = None
__COPY_Time = None
__clipboard_item = None
__ftrigger = None... | bbuyukyuksel/CaptureTranslate | ClipboardListener.py | ClipboardListener.py | py | 4,454 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "threading.Thread",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "threading.Event",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "time.time",
"line... |
19840672490 | import re
from django.shortcuts import render
from .models import *
from django.contrib import messages
from .forms import StudentForm
def studentDisplay(request):
results = EventRegister.objects.all()
return render(request,"index.html",{"EventRegister":results})
def studentEdit(request,id):
getStudent... | Ridd18/Django-CRUD | College/College/views.py | views.py | py | 1,893 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.shortcuts.render",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "forms.StudentForm",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "dja... |
24915752855 | #query2
from pyhive import hive
import json
import sys
input = sys.argv[1]
conn=hive.Connection(host='10.128.0.3', username='zhihuiw328',port='10000', database='default')
cur = conn.cursor()
query2 = 'SELECT s.clicks_num FROM (SELECT cleaned_term, sum(clicks_value) as clicks_num FROM (SELECT cleaned_term, map_values(... | kexinz8/ddl-fighters | HW4 code/query2.py | query2.py | py | 642 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sys.argv",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pyhive.hive.Connection",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pyhive.hive",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "json.dumps",
"line_... |
10496430189 | import requests
import pandas as pd
import json
archivo_paises =(pd.read_csv("Ejercicio-3/all.csv"))
archivo_capitales =(pd.read_csv("Ejercicio-3/country-list.csv"))
pais_seleccionado = input("Ingrese un país o paises separados por coma ")
pais_array = str(pais_seleccionado).split(", ")
def obtener_ISO(pais): #obte... | MicaelaBerrutti/4-Desafio-Fundamentos-de-Programacion | Ejercicio-3/app.py | app.py | py | 2,881 | python | es | code | 0 | github-code | 7 | [
{
"api_name": "pandas.read_csv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_num... |
18035585740 | import numpy
import scipy.stats
import matplotlib.pyplot as plt
import Functions.LogisticRegression as LR
# import dataset and load
def load_data(f1, f2, numFeat):
dataList = []
labelList = []
file1 = open(f1, "r")
file2 = open(f2, "r")
#read features for each line and create numpy array
for... | fabiogrillo/HTRU2_Pulsar_Detection | Code/Functions/functions.py | functions.py | py | 11,323 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.array",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.hstack",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number... |
4075448612 | """Please Not Another Compiler Compiler -- LR parser generator library.
"""
from collections import namedtuple
from operator import methodcaller
from functools import partial
import sys
import re
_str_type = globals().get("basestring", str)
def identity(x):
"""Identity functions, useful as semantic action for ru... | stephanh42/pnacc | pnacc.py | pnacc.py | py | 18,957 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "collections.namedtuple",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "... |
39700345246 | import sys;
from datetime import datetime;
import time;
__author__ = "Phlyper";
hosts = {"host":{"all":[], "one":""}, "alias":{"all":[], "one":""}};
def main():
global hosts;
print("Le Shell de VHost");
print(sys.argv);
# step 1
localhost = input("saisir l\'adresse de localhost?\n");
if not len(localhost):
... | phlyper/abr | vhost.py | vhost.py | py | 3,598 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "json.dumps",
"line_number": 117,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 121,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
... |
5188054134 |
import requests
import zipfile
from typing import Union
def dl_sheet(**kwargs) -> Union[int, str]:
'''kwargs: download_file_name, destination_folder, url'''
download_file_name = kwargs.pop('dl_file_name', 'xd_quest.zip')
destination_folder = kwargs.pop('folder', 'xd quest')
url = kwargs.pop('url', 'ht... | akorzunin/anime_challenge | src/dl_sheet.py | dl_sheet.py | py | 768 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "zipfile.ZipFile",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "typing.Union",
"line_number": 6,
"usage_type": "name"
}
] |
21640790892 | from pulumi_kubernetes.helm.v2 import Chart, LocalChartOpts
from yaml import load, dump
mesh = Chart(
"istio",
LocalChartOpts(
path="./istio-1.1.3/install/kubernetes/helm/istio/",
namespace="istio-system",
values=dump("./istio-1.1.3/install/kubernetes/helm/istio/values.yaml")
)
)
| paulwilljones/pulumi-k8s-py-helm-istio | __main__.py | __main__.py | py | 318 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pulumi_kubernetes.helm.v2.Chart",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pulumi_kubernetes.helm.v2.LocalChartOpts",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "yaml.dump",
"line_number": 9,
"usage_type": "call"
}
] |
31000331170 | from flask import Flask, render_template, redirect
from flask_pymongo import PyMongo
import pymongo
import scrape_mars
#Create an instance of Flask
app = Flask(__name__)
#Use PyMongo to establish Mongo connection
conn ='mongodb://localhost:27017'
client = pymongo.MongoClient(conn)
db = client.mars_data_db
collecti... | Mayomh11/Mission-to-Mars | marsapp.py | marsapp.py | py | 1,284 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "scrape_mars.scra... |
36766190234 | import hydra
import matplotlib.pyplot as plt
import pandas as pd
import os
from omegaconf import DictConfig
import torch
from fab.target_distributions.gmm import GMM
from experiments.load_model_for_eval import load_model
from fab.utils.plotting import plot_contours, plot_marginal_pair
PATH = os.getcwd()
def setup_... | lollcat/fab-torch | experiments/gmm/evaluation.py | evaluation.py | py | 4,812 | python | en | code | 28 | github-code | 7 | [
{
"api_name": "os.getcwd",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.manual_seed",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "fab.target_distributions.gmm.GMM",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "omegacon... |
1083875454 | """main file of A2C and PPO implementation for atari"""
import os
import numpy as np
import tensorflow as tf
import yaml
from absl import app, flags
from tqdm import tqdm
import utils
from a2c import A2C
from envs import make_vec_envs
from ppo import PPO
FLAGS = flags.FLAGS
flags.DEFINE_integer('seed', 42, 'Fixed r... | LiubovSobolevskaya/tf2-a2c-ppo | main.py | main.py | py | 3,857 | python | en | code | 9 | github-code | 7 | [
{
"api_name": "absl.flags.FLAGS",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "absl.flags",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "absl.flags.DEFINE_integer",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "absl.flags... |
35170823776 | import random
from datetime import date, datetime, timedelta
import Solver.db as db
from Solver.varios import getVariableList
def calcularVariables(miFecha = date.today()):
try:
records = db.getVariablesData()
for row in records:
variableId = row[0]
variableDescripcion = r... | akouvach/indicadores | Solver/solver.py | solver.py | py | 5,578 | python | es | code | 0 | github-code | 7 | [
{
"api_name": "datetime.date.today",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "Solver.db.getVariablesData",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "Solver.db"... |
28786434356 | """credentials_verification
Revision ID: 9f65f22e0366
Revises: c2f70be930c9
Create Date: 2020-11-28 22:37:09.789863
"""
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = '9f65f22e0366'
down_revision = 'c2f70be930c9'
branch_labels = None
depends_on = None
def upgrade... | Addovej/spotiplays | src/migrations/versions/9f65f22e0366_credentials_verification.py | 9f65f22e0366_credentials_verification.py | py | 699 | python | en | code | 0 | github-code | 7 | [
{
"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.JSON",
... |
22352771965 | # coding: utf-8
#
# Copyright 2022 Hengran Zhang
# Author: Hengran Zhang
#
from sklearn.metrics import classification_report, f1_score, recall_score, precision_score,accuracy_score
from sklearn.metrics import confusion_matrix
def eva_classifier(list_t_in, list_p_in, labels=None, mask=None, average=None):
... | cofe-ai/CORT | src/evaluation.py | evaluation.py | py | 1,649 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "sklearn.metrics.confusion_matrix",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.accuracy_score",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.recall_score",
"line_number": 22,
"usage_type": "call"
... |
74224007584 | from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
app = FastAPI()
app.add_middleware(
CORSMiddleware,
allow_origins=["*"], # Allows all origins
allow_credentials=True,
allow_methods=["*"], # Allows all methods
allow_headers=["*"], # Allows all headers
)
@app.post(... | gmanchon/fastapi | post.py | post.py | py | 583 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "fastapi.middleware.cors.CORSMiddleware",
"line_number": 7,
"usage_type": "argument"
}
] |
41106472809 | import requests
import bs4
import pandas
import re
import os
import threading
SEARCHPAGE = 'http://www.naiglobal.com/about-nai'
def webdl(url):
"""Downloads web-page (using requests rather than urllib) """
print('Downloading...')
r = requests.get(url)
try:
r.raise_for_status()
return ... | goobyme/Small_Scripts | Primitve_Scrapers/Old Scrapers/NAI Scraper.py | NAI Scraper.py | py | 3,030 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.HTTPError",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "re.compile",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
... |
25384428927 | from python_speech_features import fbank
import scipy.io.wavfile as wav
import numpy as np
import sys
import os
def get_list_path_wav(dir):
"""Đọc đường dẫn tất cả file wav trong thư mục dir"""
list_path = []
for root, dirs, files in os.walk(dir):
for file in files:
if file.endswith(".... | hoangtubk/Speech-Recognition | FFT.py | FFT.py | py | 1,307 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.walk",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.basename",
"line_number... |
1833914648 | import os
import pathlib
import tempfile
from unittest import TestCase
from uuid import uuid4
import pandas as pd
import polars as pl
from jinja2 import Template
from pydantic import ValidationError
from focus_converter.configs.base_config import ConversionPlan, LookupConversionArgs
from focus_converter.conversion_fu... | finopsfoundation/focus_converters | focus_converter_base/tests/converter_functions/test_lookup_function.py | test_lookup_function.py | py | 7,517 | python | en | code | 6 | github-code | 7 | [
{
"api_name": "jinja2.Template",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "tempfile.TemporaryDirectory",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "os.path... |
4700879046 | from io import open
from math import *
import pickle
class Personaje:
Personaje = {};
def __init__(self,nombre: str,vida:float,ataque:float,defensa:float,alcance:float):
if(vida > 0 and ataque > 0 and defensa > 0 and alcance > 0):
self.Personaje = {"nombre":nombre,"vida":trunc(vida),"ataque"... | felipenico/Exercises-Python | Exercise_handleFile3/squad.py | squad.py | py | 2,170 | python | es | code | 0 | github-code | 7 | [
{
"api_name": "io.open",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "io.open",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "pickle.dump",
"line_number": 61,
... |
21938939675 | #Updated for Selenium's 4.3 update (removal of 'find_element_by')
import gspread, time
import csv
from oauth2client.service_account import ServiceAccountCredentials
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
#much of this is commented out due to test attempts that I tried. Each at... | JacobVorstenbosch/QA-Portfolio | ImportFromItchio/InputData.py | InputData.py | py | 5,425 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "oauth2client.service_account.ServiceAccountCredentials.from_json_keyfile_name",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "oauth2client.service_account.ServiceAccountCredentials",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "gspread.auth... |
316894677 | import os
import sys
from PyQt6 import QtCore, QtWidgets, QtGui, QtWebEngineWidgets
from PyQt6.QtCore import QSize
from PyQt6.QtGui import QDesktopServices, QAction, QIcon
from PyQt6.QtWebEngineCore import QWebEngineSettings
from PyQt6.QtWidgets import QToolBar
ROOT_URL = 'http://127.0.0.1:5000/'
def init_gui(applic... | renesugar/bija | bija/gui.py | gui.py | py | 3,560 | python | en | code | null | github-code | 7 | [
{
"api_name": "PyQt6.QtWidgets.QApplication",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "PyQt6.QtWidgets",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "PyQt6.QtCo... |
20091993809 | from subscribers.models import Subscriber
from telegram_bot.commands import static_text
import telegram
from django.conf import settings
from telegram_bot.models import User
from telegram import MessageEntity
def get_profile_by_phone_number(phone):
ps = Subscriber.objects.filter(phone=phone)
text = ''
pr... | alenworld/django_telegram_bot | telegram_bot/utils/misc.py | misc.py | py | 2,518 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "subscribers.models.Subscriber.objects.filter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "subscribers.models.Subscriber.objects",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "subscribers.models.Subscriber",
"line_number": 11,
... |
22789805653 | from django.conf import settings
from django.test import TestCase
from django.utils import translation
from common.tests import SaleAdsTestMixin
from common.tests.utils.composite_languages_setting_test_mixin import (
CompositeLanguagesSettingTestMixin,
)
class LocaleMiddlewareTest(
SaleAdsTestMixin, Composit... | mikhkhann/sale-ads | src/sale_ads/apps/languages/tests/test_middleware.py | test_middleware.py | py | 1,053 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "common.tests.SaleAdsTestMixin",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "common.tests.utils.composite_languages_setting_test_mixin.CompositeLanguagesSettingTestMixin",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "django.test.TestCase",... |
19630812077 | """
@author: magician
@date: 2019/12/13
@file: generator_demo.py
"""
from itertools import islice
def index_words(text):
"""
index_words
:param text:
:return:
"""
result = []
if text:
result.append(0)
for index, letter in enumerate(text):
if letter == ' ':
... | ftconan/python3 | effective_python/function/generator_func.py | generator_func.py | py | 1,247 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "itertools.islice",
"line_number": 64,
"usage_type": "call"
}
] |
24518937659 | #!../.interrogatorio/bin/python3
print('Content-type:text/html\n\n')
import os
import cgi, cgitb
cgitb.enable()
if os.environ['REQUEST_METHOD'] == 'POST':
form = cgi.FieldStorage()
if not os.path.isfile('./interrogar-ud/credenciais.txt'):
with open('./interrogar-ud/credenciais.txt', 'w') as f:
f.write('')
wit... | alvelvis/Interrogat-rio | www/cgi-bin/autenticar-interrogatorio.py | autenticar-interrogatorio.py | py | 828 | python | pt | code | 0 | github-code | 7 | [
{
"api_name": "cgitb.enable",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "cgi.FieldStorage",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line... |
74522951263 | import urlparse
from sentry.web.helpers import render_to_string
from sentry.interfaces import Interface
from django.utils.translation import ugettext as _
class CFMLHttp(Interface):
display_score = 1050
score = 850
attrs = ('url_path', 'method', 'form', 'url', 'query_string', 'cookies', 'session... | jmacul2/sentry-cfml | sentry_cfml/interfaces.py | interfaces.py | py | 3,130 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "sentry.interfaces.Interface",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "urlparse.urlsplit",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sentry.web.helpers.render_to_string",
"line_number": 52,
"usage_type": "call"
},
{
"... |
72349513183 | import json
from typing import Callable
import requests
from w3lib.url import urljoin
from zacoby import exceptions, global_logger
class Response:
def __init__(self, response, **kwargs):
self._response = response
# self.json = response.json()
# self.response_data = response.content.decod... | Zadigo/zacoby | remote.py | remote.py | py | 5,412 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "typing.Callable",
"line_number": 59,
"usage_type": "name"
},
{
"api_name": "zacoby.global_logger.info",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "zacoby.global_logger",
"line_number": 73,
"usage_type": "name"
},
{
"api_name": "w3lib.... |
31680659069 | # M. P. Hayes UCECE
import numpy as np
import scipy.signal as signal
from ipywidgets import interact, interactive, fixed, interact
from .lib.signal_plot import signal_plot, dtft_plot, spectrum_modes
def ma_lpf_dtft_plot(M=10, fs=100, fmax=50, mode='magnitude',
log_frequency=False):
N = 100
... | mph-/dsp-notebooks | intro/demos/ma_lpf_dtft_demo1.py | ma_lpf_dtft_demo1.py | py | 884 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "numpy.arange",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "scipy.signal.lfilter",
"line_... |
7651408329 | import pytest
import connexion
from s3_io.s3io_api import create_app
flask_app = create_app()
#flask_app.add_api('api/s3io-api.yaml', arguments={'title': 'Swarm s3'})
@pytest.fixture(scope='module')
def client():
with flask_app.app.test_client() as c:
yield c
def test_health(client):
response = cli... | viaacode/s3-io | tests/test_api.py | test_api.py | py | 382 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "s3_io.s3io_api.create_app",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 9,
"usage_type": "call"
}
] |
4860794165 | import cv2
import numpy as np
img = cv2.imread('14.jpg')
imggray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
ret, thresh = cv2.threshold(imggray, 127, 255, 0)
contours, _ = cv2.findContours(thresh, cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
mask = np.zeros(imggray.shape, np.uint8)
img = cv2.drawContours(img, [contours[0... | lieweiAGI/liewei-agi-code-part1 | 13 opencv（四）/test02.py | test02.py | py | 474 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "cv2.imread",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "cv2.threshold",
"lin... |
5708994300 | from clapp.forms import flash_errors
from flask import Blueprint, render_template, current_app, \
request, url_for
from flask.ext.login import login_required
from flask.ext.security import current_user
from werkzeug.local import LocalProxy
from .. import forms
from .. import rltime
from .. import utils
from ..... | ryanolson/running-log | running_log/groups/views.py | views.py | py | 1,605 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "werkzeug.local.LocalProxy",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.current_app.extensions",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "flask.current_app",
"line_number": 13,
"usage_type": "name"
},
{
"api... |
9857767752 | from telegram import InlineKeyboardButton, InlineKeyboardMarkup
from telegram.ext import (Updater, CommandHandler, CallbackQueryHandler,
ConversationHandler, Filters, MessageHandler)
import logging
import redis_db as r
import moltin
from functools import partial
import os
STORE, PRODUCT, CON... | killthebee/Online-shop-tg-bot | shop-bot.py | shop-bot.py | py | 10,752 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "moltin.fetch_products",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "telegram.InlineKeyboardButton",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "telegram.InlineKeyboardMarkup",
"line_number": 21,
"usage_type": "call"
},
{
... |
24378032616 | from peewee import *
from gestionar_obra import GestionarObra
import datetime
sqlite_db = GestionarObra().conectar_db()
# función que mapea y crea las tablas de la base de datos en donde se cargará el dataset limpio.
class BaseModel(Model):
class Meta:
database = sqlite_db
# -----------------------------Tab... | ozunacristian/IFTS18 | modelo_orm.py | modelo_orm.py | py | 13,106 | python | es | code | 0 | github-code | 7 | [
{
"api_name": "gestionar_obra.GestionarObra",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "gestionar_obr... |
9678538434 | import sqlalchemy as sa
from sqlalchemy.dialects.postgresql import array
from sqlalchemy.dialects.postgresql import JSONB
from osgende.common.sqlalchemy import Truncate
class RelationHierarchy:
"""Table describing the relation hierarchies of the OSM relations table.
'subset' can be used to limit the relat... | waymarkedtrails/osgende | osgende/relations/hierarchy.py | hierarchy.py | py | 3,526 | python | en | code | 7 | github-code | 7 | [
{
"api_name": "sqlalchemy.Table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.BigInteger",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "sqlalch... |
29027657330 | import copy
from enum import Enum
from typing import Optional, Mapping, List, Sequence, Union, Dict, Any
from .config import Config
from .data import ChartData
from .exception import ConfigurationError, ParamError
from .resource import is_list_resource
class Processor:
"""
Processor filters and mutates chart... | RangelReale/helmion | helmion/chart.py | chart.py | py | 11,298 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "data.ChartData",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "data.ChartData",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "data.ChartData",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "typing.Sequence",
"l... |
42793759170 | from flask import Flask, request, jsonify, make_response
from flask import jsonify
from flask_cors import CORS
from flask import request
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy import create_engine
app = Flask(__name__)
CORS(app)
cors = CORS(app, resource={
r"/*":{
"origins":"*... | DeanVanGreunen/assessment2 | backend/app.py | app.py | py | 1,369 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQLAlchem... |
14955594822 | import os
import sys
import random
import orbital
import numpy as np
import astropy
from timeout import timeout,TimeoutError
to = int( os.getenv("TIMEOUT",120))
def str_to_vec( str_in ):
vec = np.fromstring( str_in , dtype=float, count=-1 , sep=',')
if( vec.size != 3 ):
raise "Vector doesnt have 3 e... | cromulencellc/hackasat-qualifier-2022 | matters_of_state/challenge/challenge.py | challenge.py | py | 2,510 | python | en | code | 15 | github-code | 7 | [
{
"api_name": "os.getenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.fromstring",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.power",
"line_number":... |
73185282142 | import requests
import time
import board
import busio
import adafruit_dht
import adafruit_ads1x15.ads1115 as ADS
from adafruit_ads1x15.analog_in import AnalogIn
import RPi.GPIO as GPIO
GPIO.setmode(GPIO.BCM)
GPIO.setwarnings(False)
GPIO.cleanup()
#create the I2C bus
i2c = busio.I2C(board.SCL, board.SDA)
#create the A... | cyber-tooth/AtmoSpace | sensorData.py | sensorData.py | py | 1,148 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "RPi.GPIO.setmode",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "RPi.GPIO.BCM",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "RPi.GPIO.setwarnings",
"... |
39670994717 | import random
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
c = 13/24
a = []
b = []
q = 0
for i in range(1000):
a_temp = np.array([random.uniform(0, 2/3) for i in range(100)]).mean()
b_temp = np.array([random.uniform(1/2, 1) for i in range(100)]).mean()
a.append(a_temp)
b.a... | Darinochka/ml_tinkoff_2021 | exam/4_task/visualization.py | visualization.py | py | 515 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "numpy.array",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "random.uniform",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "random.uniform",
"line_num... |
11244675356 | """Wrappers for intergating imitation reward function."""
import gym
import gym_panda
from gym_panda.wrapper_env.VAE import VAE
import torch
import numpy as np
import copy
import pickle
class collectDemonsWrapper(gym.Wrapper):
""" Wrapper used to collect demonstrations."""
def __init__(self, env):
gym.... | jiaj15/pdenv | gym_panda/wrapper_env/wrapper.py | wrapper.py | py | 5,949 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "gym.Wrapper",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "gym.Wrapper.__init__",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "gym.Wrapper",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.u... |
70867131105 | import sys
import pdb
import matplotlib.pyplot as plt
import matplotlib.colors as colors
import matplotlib.cm as cmx
import numpy as np
kernels = []
data = []
if len(sys.argv) != 2:
print("Execute as :\npython {} {}".format(sys.argv[0],"filename.txt"))
exit(1)
with open(sys.argv[1]) as f:
for lineNum,line ... | kunalghosh/KernelMethods | Assignment6/src/report/plot.py | plot.py | py | 2,017 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sys.argv",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "numpy.asarray",
"line_n... |
27593881942 | """This script downloads and post-processes the rime-cantonese data as JSON files."""
import collections
import io
import json
import logging
import os
import tempfile
import zipfile
from pycantonese.jyutping.parse_jyutping import parse_jyutping
from pycantonese.util import _split_chars_with_alphanum
try:
impor... | jacksonllee/pycantonese | src/pycantonese/data/rime_cantonese/download_and_postprocess.py | download_and_postprocess.py | py | 8,629 | python | en | code | 302 | github-code | 7 | [
{
"api_name": "os.path.abspath",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",... |
34335460356 | import argparse
import create_subnet
import create_router
import users_utility
import random
NAME = 'Name'
CIDR = 'Subnet'
PROVIDER = 'Provider'
USERNAME = 'Username'
EXTERNAL = 'External'
def create_linked_network(domain, project, network):
ln = []
print('create_linked_network(domain: {}, project: {}, network: {... | GGonryun/OpenStack-Classroom-Builder | resources/create_network.py | create_network.py | py | 3,957 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "create_subnet.create_subnet",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "create_subnet.create_subnet",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "create_router.create_router",
"line_number": 30,
"usage_type": "call"
},
{
... |
18915218336 | import json
import os
from sos.options import SoSOptions
PRESETS_PATH = "/etc/sos/presets.d"
#: Constants for on-disk preset fields
DESC = "desc"
NOTE = "note"
OPTS = "args"
class PresetDefaults():
"""Preset command line defaults to allow for quick reference to sets of
commonly used options
:param nam... | sosreport/sos | sos/presets/__init__.py | __init__.py | py | 3,601 | python | en | code | 470 | github-code | 7 | [
{
"api_name": "sos.options.SoSOptions",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "sos.options.SoSOptions",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "os.path"... |
73734396064 | from django.http import HttpResponse, HttpResponseRedirect
from django.shortcuts import render, redirect, get_object_or_404
from django.urls import reverse, reverse_lazy
import datetime
from .models import Project, Assignment, Reminder
from .forms import CreateProjectForm, CreateAssignmentForm, CreateReminderForm
... | Been-H/planner_app | planner_app/planner_app/planner/views.py | views.py | py | 4,401 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "models.Project.objects.filter",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "models.Project.objects",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "models.Project",
"line_number": 10,
"usage_type": "name"
},
{
"api_name... |
71125118942 | # Adapted from https://github.com/libAtoms/silicon-testing-framework
import numpy as np
import spglib
def prep(at, symprec=1.0e-5):
dataset = spglib.get_symmetry_dataset(at, symprec=symprec)
rotations = dataset['rotations'].copy()
translations = dataset['translations'].copy()
symm_map=[]
scaled_p... | felixmusil/mlip_workshop2021 | tools/symmetrize.py | symmetrize.py | py | 1,968 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "spglib.get_symmetry_dataset",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.round",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.argmin",
"... |
24570330107 | from langchain.schema import AgentAction, AgentFinish
def parse_output(message: str):
FINAL_ANSWER_ACTION = "<final_answer>"
includes_answer = FINAL_ANSWER_ACTION in message
if includes_answer:
answer = message.split(FINAL_ANSWER_ACTION)[1].strip()
if "</final_answer>" in answer:
... | langchain-ai/langchain | templates/solo-performance-prompting-agent/solo_performance_prompting_agent/parser.py | parser.py | py | 813 | python | en | code | 68,990 | github-code | 7 | [
{
"api_name": "langchain.schema.AgentFinish",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "langchain.schema.AgentAction",
"line_number": 18,
"usage_type": "call"
}
] |
10509659606 | import tensorflow as tf
import numpy as np
import math
import os
import sys
from itertools import permutations
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
sys.path.append(os.path.dirname(BASE_DIR))
sys.path.append(os.path.join(BASE_DIR, '../utils'))
sys.path.append(os.path.join(BASE_DIR, '../models'))
sys.pat... | bettyruntianwang/csc413-final-project | dgcnn/part_seg/part_seg_model.py | part_seg_model.py | py | 8,315 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line... |
593690145 | from triqs.operators import *
from triqs.gf import *
from h5 import *
from triqs.atom_diag import *
from triqs.utility.comparison_tests import *
import numpy as np
from itertools import product
save_h5 = False
fops = [(s,o) for s,o in product(('up','dn'),list(range(3)))]
def make_hamiltonian(mu, U, J, b, t):
h =... | TRIQS/triqs | test/python/atom_diag/atom_diag.py | atom_diag.py | py | 3,055 | python | en | code | 121 | github-code | 7 | [
{
"api_name": "itertools.product",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "itertools.produ... |
72865690462 | import torch
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmcv.runner import BaseModule
from mmseg.ops import resize
from ..builder import BACKBONES, build_backbone
from ..decode_heads.psp_head import PPM
@BACKBONES.register_module()
class ICNet(BaseModule):
"""ICNet for Real-Time Semantic Segmenta... | Ascend/ModelZoo-PyTorch | PyTorch/contrib/cv/semantic_segmentation/MMseg-swin/mmseg/models/backbones/icnet.py | icnet.py | py | 5,839 | python | en | code | 31 | github-code | 7 | [
{
"api_name": "mmcv.runner.BaseModule",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "builder.build_backbone",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "torch.nn.MaxPool2d",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "torc... |
43910068821 | import re
import gc
import numpy as np
import multiprocessing
from multiprocessing import Pool
class TreeDrivenEncoder:
"""
TreeDrivenEncoder algorithm.
OOP is beautiful
"""
def __init__(self):
self.all_conditions = None
def fit(self, trees):
self.all_conditions = []
... | unnir/DeepTLF | src/tde.py | tde.py | py | 1,818 | python | en | code | 13 | github-code | 7 | [
{
"api_name": "re.sub",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Pool",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "multiprocessing.cpu_count",
... |
25451003675 | # -*- coding: utf-8 -*-
"""
Created on Wed Jan 5 01:51:13 2022
@author: Luke
"""
def pr_fullpull(ticker, export=True):
# gets all press releases of input ticker and outputs to raw data file
# stored in hotshot finance type shit\ticker_releasedata\raw
# development was done under "News Lagtime Exploitatio... | cukelarter/Stock-Market-News-Analysis | pr_fullpull.py | pr_fullpull.py | py | 4,812 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "selenium.webdriver.Edge",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "selenium.webdri... |
9371084827 | """
handler
~~~~~~~
相关 handlers
"""
import json
import random
import logging
from raven.contrib.tornado import SentryMixin
from tornado.web import RequestHandler
from mwtk_utils import tornado_handy_utils as thu
from mwtk_utils import obj_json_dumps, to_str
from .models import FieldsMap, ShopBulkData
__all_... | viwenLai/sharing-shop | westsnow/handler.py | handler.py | py | 3,943 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "raven.contrib.tornado.SentryMixin",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "tornado.web.RequestHandler",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "models.ShopBulkData.select",
"line_number": 36,
"usage_type": "call"
},
... |
24559863317 | import logging
from typing import Any, List, Mapping, Optional
import requests
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
from langchain_community.llms.utils import enforce_stop_tokens
logger = logging.getLogger(__name__)
class ChatGLM(LLM):
... | langchain-ai/langchain | libs/community/langchain_community/llms/chatglm.py | chatglm.py | py | 3,969 | python | en | code | 68,990 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "langchain_core.language_models.llms.LLM",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 30,
"usage_type": "name"
},
{
"api_nam... |
43748744285 | import time
start = time.time()
from django.shortcuts import render
from . forms import MyForm
from rest_framework import viewsets
from rest_framework.decorators import api_view
from django.core import serializers
from rest_framework.response import Response
from rest_framework import status
from django.http import Jso... | mocktarissa/graduation | MyAPI/views.py | views.py | py | 4,911 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "time.time",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "rest_framework.viewsets.ModelViewSet",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.viewsets",
"line_number": 27,
"usage_type": "name"
},
{
"api_na... |
4077124477 | """
For the main page, we process the POST request.
Returning a working link.
"""
from http import HTTPStatus
from flask import flash, redirect, render_template
from . import app, db
from .constants import INDEX_HTML
from .forms import URLForm
from .models import URLMap
from .utils import get_unique_short_id
@app.... | SemenovY/yacut | yacut/views.py | views.py | py | 1,433 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "forms.URLForm",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "constants.INDEX_HTML",
"line_number": 27,
"usage_type": "argument"
},
{
"api_name": "models.U... |
39854517366 | from django.http import JsonResponse
from .models import WatchShop, Watch
from watchshopapp.serializers import WatchShopSerializer, WatchsSerializer
def client_get_watchshops(request):
watchshops = WatchShopSerializer(
WatchShop.objects.all().order_by('-id'),
many=True,
context={'request':... | Nixer/watchshop | watchshopapp/apis.py | apis.py | py | 664 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "watchshopapp.serializers.WatchShopSerializer",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "models.WatchShop.objects.all",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "models.WatchShop.objects",
"line_number": 8,
"usage_type": "attri... |
28024680157 | from flask import Flask, request, jsonify, render_template
import tensorflow as tf
import numpy as np
import keras
import json
from keras.preprocessing.text import tokenizer_from_json, Tokenizer
from keras.preprocessing.sequence import pad_sequences
from keras.models import load_model
import io
import nltk
nltk.downlo... | ngoquanghuy99/nevermore | app.py | app.py | py | 3,773 | python | en | code | 9 | github-code | 7 | [
{
"api_name": "nltk.download",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "keras.preprocessing.text.tokenize... |
73348808864 | from analyzer import Analyzer, AnalyzerManager, plotable, CorruptAnalyzer
from dataio import File, Globbler
import os
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
from scipy.signal import argrelmax
import pandas as pd
import subprocess
import sys
try:
import seaborn as sns
... | dulte/FrictionProject | analysis/friction.py | friction.py | py | 14,964 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "seaborn.set",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "os.path.split",
"line_numbe... |
38967196562 | import sys
from collections import deque
input = sys.stdin.readline
M, N = map(int, input().split())
maze = []
for i in range(N):
maze.append(list(map(int, list(input().rstrip()))))
# 상 하 좌 우
mx = [-1, 1, 0, 0]
my = [0, 0, -1, 1]
q = deque()
q.append((0, 0))
INF = float('inf')
# 가로 : M, 세로 : N
dist = [[INF] * (... | MSA-FullStack-Developer/Study-Algorithm | seokho/algorithm/dfs_bfs/sol1261.py | sol1261.py | py | 807 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "sys.stdin",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 15,
"usage_type": "call"
}
] |
20295312080 | import pandas as pd
import streamlit as st
import graphviz
st.title("Streamlit DAG Maker")
st.write("Funcs available: [foo, bar, confuser]")
df = pd.DataFrame(
[['foo', 'bar'], ['foo', 'confuser']],
columns=["Source", "Target"],
)
edited_df = st.experimental_data_editor(
df,
use_container_width=True... | otosense/plunk | plunk/sb/front_demo/user_story1/apps/streamlit_dag_maker2.py | streamlit_dag_maker2.py | py | 559 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "streamlit.title",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "streamlit.write",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "streamlit.experimental_... |
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