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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
40034683838 | from flask import Flask, jsonify, render_template, redirect, make_response, json, request
import os
from joblib import load
import subprocess
# Tools to remove stopwords from tweets
import nltk
from nltk.corpus import stopwords
nltk.download('stopwords')
from nltk.tokenize import word_tokenize
nltk.download('punkt')
f... | michaelpkuhn/mediabias | app/app.py | app.py | py | 5,474 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "nltk.download",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.st... |
11502386278 | from datetime import datetime
AUTHOR = "pshchelo"
SITEURL = ""
SITENAME = "Bits and Pieces"
SITETITLE = ""
SITESUBTITLE = ""
SITEDESCRIPTION = ""
SITELOGO = "/images/avatar.jpg"
FAVICON = "/images/favicon.ico"
ROBOTS = "index, follow"
PATH = "content"
TIMEZONE = "Europe/Kiev"
DEFAULT_LANG = "en"
# Feed generation i... | pshchelo/pshchelo.github.io | pelicanconf.py | pelicanconf.py | py | 1,780 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "datetime.datetime.now",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 70,
"usage_type": "name"
}
] |
39381247788 | import requests
import json
from fastapi import FastAPI, Response, APIRouter
from fastapi_versioning import VersionedFastAPI, version
from pydantic import BaseModel
app = FastAPI()
router = APIRouter()
all_routes =[]
def get_routes():
reserved_routes = ["/openapi.json", "/docs", "/docs/oauth2-red... | dhiraj-v/CineStream | movie_rent_management/rent_movie.py | rent_movie.py | py | 2,798 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "fastapi.APIRouter",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "fastapi_versioning.version",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "fastapi_v... |
30260001066 | """Tests for our BaseStore interface."""
import datetime
import mock
import pytest
from rush import limit_data
from rush import stores
def _test_must_be_implemented(method, args, kwargs={}):
with pytest.raises(NotImplementedError):
method(*args, **kwargs)
def test_get_must_be_implemented():
"""Ver... | sigmavirus24/rush | test/unit/test_stores_base.py | test_stores_base.py | py | 1,741 | python | en | code | 54 | github-code | 1 | [
{
"api_name": "pytest.raises",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "rush.stores.BaseStore",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "rush.stores",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "rush.stores.BaseStore... |
72515250915 | import os
import yt_dlp
# DEPRECATED
# def download_youtube_video_audio(url, dl_path):
# yt = YouTube(url)
# print(f"Grabbing audio from youtube video {yt.title}")
# audio_stream = yt.streams.get_audio_only()
# dl_filename = audio_stream.default_filename
# audio_stream.download(dl_path)
#... | astrooom/video-transcripter | download.py | download.py | py | 891 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "yt_dlp.YoutubeDL",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "attribute"
}
] |
74132449952 | # Manage status of system:
# APP_AVAILABLE: True with system is not available. Normally, just means db is being updated, but
# could be something more drastic.
import os
from datetime import datetime, timedelta
from time import time
import redis
redis_url = os.environ.get("REDIS_URL")
if redis_url is None:
redi... | cvickery/transfer_app | system_status.py | system_status.py | py | 4,072 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "os.environ.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "redis.from_url",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",... |
35636025251 | import os
import sys
dir=os.getcwd()
dir_list=dir.split("/")
loc=[i for i in range(0, len(dir_list)) if dir_list[i]=="General_electrochemistry"]
source_list=dir_list[:loc[0]+1] + ["src"]
source_loc=("/").join(source_list)
sys.path.append(source_loc)
from pints import plot
from harmonics_plotter import harmonics
import ... | HOLL95/General_electrochemistry | Theory/Numerics/sf_MCMC.py | sf_MCMC.py | py | 9,043 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "os.getcwd",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "scipy.interpolate.splrep",
"... |
42215493732 | import os,re
from math import *
import numpy as np
import matplotlib.patches as patches
from matplotlib.figure import Figure
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
def cc_diagram(u_all,g_all,z_all,u,g,z,item,indices):
fig = Figure()
canvas = FigureCanvas(fig)
ax = fig.add_axes(... | LejayChen/astro-python-script | cc_diagram.py | cc_diagram.py | py | 1,065 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "matplotlib.figure.Figure",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.backends.backend_agg.FigureCanvasAgg",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.patches.Polygon",
"line_number": 24,
"usage_type": "ca... |
44622543396 | from flask import jsonify
from model.reservation import ReservationDAO
from model.members import MembersDAO
from model.user_schedule import UserScheduleDAO
from model.room_schedule import RoomScheduleDAO
from model.time_slot import TimeSlotDAO
from controller.time_slot import BaseTimeSlot
from model.reservation_schedul... | bermed28/Booking-System | backend/controller/reservation.py | reservation.py | py | 14,154 | python | en | code | 5 | github-code | 1 | [
{
"api_name": "model.reservation.ReservationDAO",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "model.reservation_schedule.ReservationScheduleDAO",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 57,
"usage_type": "call... |
73572581474 | """
This Script, provides useful custom losses to train BioAE network.
"""
import torch
from torch.nn import Module
from torch import Tensor
import torch.nn.functional as F
LAMBDA1 = 10
LAMBDA2 = 0.5
class AESSLoss(Module):
"""
Auto Encoder loss + lambda1 * Steady State (Sv) Loss + lambda2 * Parsimony Loss
... | Alef125/TranscriptomicsAutoEncoder | BioAE_Loss.py | BioAE_Loss.py | py | 5,361 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "torch.nn.Module",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "torch.Tensor",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "torch.Tensor",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "torch.nn.functional.l1_loss... |
8523638989 | import numpy as np
from datetime import datetime
import pickle
from pathlib import Path
import logging
# nm.logging_setup(Path.cwd(), date.today())
_logger = logging.getLogger('pathfinding_logger')
# from geometry import GridCell, GridMaze
from nicpy import nic_misc
def reconstruct_path(current_node):
path,... | niceholgate/pathfinding | py_pathfinding/a_star.py | a_star.py | py | 4,080 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pathlib.Path.cwd",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now... |
73948794915 | import matplotlib.pylab as plt
import numpy as np
from mpl_toolkits.axes_grid1.inset_locator import zoomed_inset_axes
from mpl_toolkits.axes_grid1.inset_locator import mark_inset
x1,y1,erry1 = np.loadtxt("paw_Stpa.dat", usecols=(0,1,2), unpack=True)
x2,y2,erry2 = np.loadtxt("paw_Stpp.dat", usecols=(0,1,2), unpack=Tr... | broilo/PD-projects | BSG/PRD/St_BSG20mod_w002s.py | St_BSG20mod_w002s.py | py | 3,916 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.loadtxt",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_num... |
1880178367 | from django.shortcuts import render
from django.http import HttpResponse
from neo4j import GraphDatabase
import subprocess
from rest_framework.views import APIView
from rest_framework.response import Response
#Authentication:
from rest_framework.permissions import IsAuthenticated
from rest_framework.authtoken.models i... | lorisj/mnote-parser | server/notes/views.py | views.py | py | 6,815 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.expanduser",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.auth.models.User.objects.create_user",
"line_number": 28,
"usage_type": "call"
},
{
... |
38556612147 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import sys
import argparse
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
from torch.autograd import Variable
from torch.utils.data import TensorDataset, DataLoader
from torch.optim.lr_scheduler import StepLR
import torchvision... | Michael5467/PyTorch | test_examples.py | test_examples.py | py | 8,562 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "torch.nn.Module",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
73128774755 | # from django.http import HttpResponse
# def detail(request, gig_name):
# return HttpResponse("You're looking at gig %s." % gig_name)
import pymongo
from django.http import HttpResponse
from django.template import loader
def index(request):
template = loader.get_template('index.html')
client = pymongo.Mo... | emmyamanda/shakiraTickets | pages/views.py | views.py | py | 973 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.template.loader.get_template",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.template.loader",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 12,
"usage_type": "call"
},
{
"ap... |
71092381475 | from django.urls import path
from .views import (
CreateDocumentView,
EditDocumentView,
ViewDocumentView,
DeleteDocumentView,
CompareVersionsView,
DocumentListView,
)
app_name = 'documents'
urlpatterns = [
path('create/', CreateDocumentView.as_view(), name='create_document'),
path('edi... | DanilMirosh/test_task_nsign | documents/urls.py | urls.py | py | 736 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.urls.path",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "views.CreateDocumentView.as_view",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "views.CreateDocumentView",
"line_number": 14,
"usage_type": "name"
},
{
"api_na... |
75076051232 | from flask_app import app
from flask import render_template, redirect, request, session
from flask_app.models.dojos import Dojo
@app.route('/')
def display_dojos():
all_dojos = Dojo.get_all_dojos()
#print(all_dojos)
return render_template('home.html',all_dojos = all_dojos) #add backin (): all_dojos = ... | jrxdriguez/Dojos_and_Ninjas_CRUD | dn_crud/flask_app/controllers/dojos_controller.py | dojos_controller.py | py | 844 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask_app.models.dojos.Dojo.get_all_dojos",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask_app.models.dojos.Dojo",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "flask.render_template",
"line_number": 10,
"usage_type": "call"
},
... |
28427535581 | import cv2 as cv
import numpy as np
# img=cv.imread('Resources/Photos/cat.jpg')
# cv.imshow('Cat',img)
blank=np.zeros((500,500,3),dtype='uint8')
# cv.imshow('blank',blank)
# blank[200:300,400:500]=0,255,0
# cv.imshow('green',blank)
# blank[:]=0,0,255
# cv.imshow('green',blank)
cv.rectangle(blank,(0,0),(250,250),(0,25... | samirsharma-github/OpenCV-FCC | draw.py | draw.py | py | 616 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.zeros",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.rectangle",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.rectangle",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number"... |
28926277645 | from flask import current_app, Blueprint, request, jsonify
from views.api.dingtalk.UserHandler import DdUser
api_dingtalk_program_user_blueprint = Blueprint('api_dingtalk_program_user_blueprint', __name__)
@api_dingtalk_program_user_blueprint.route('/authUser/<string:method>', methods=['POST'])
def get_auth_user(met... | porcupineyhairs/Python | FlaskServer/urls/api/dingtalk/program/user.py | user.py | py | 1,170 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Blueprint",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.request.get_json",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.request",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "views.api.dingtalk.... |
14379276893 |
import numpy as np
from ..utils import check_features, check_target
from .linear_regression import LinearRegression
class RidgeRegression(LinearRegression):
"""Linear regression with l2 regularization.
Attributes:
learning_rate: Rate of update for gradient descent at
each iteration.... | js-aguiar/stanford-cs229 | src/estimator/linear_model/ridge_regression.py | ridge_regression.py | py | 3,303 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "linear_regression.LinearRegression",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "utils.check_features",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "utils.check_target",
"line_number": 42,
"usage_type": "call"
},
{
"api_nam... |
17818312692 | import json
import os
from .utils import create_oasis_url, download_files, get_report_params
# get location of oasis_endpoints.json file
FILE_DIR = os.path.dirname(os.path.realpath(__file__))
OASIS_ENDPOINTS_JSON = FILE_DIR + "/oasis_endpoints.json"
def generate_test_oasis_urls(start=None, end=None, report_name=No... | seanchon/pyoasis | pyoasis/bulk_query_oasis.py | bulk_query_oasis.py | py | 3,334 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "utils.get_report_params",
... |
31855921676 | import csv
import pandas as pd
import requests
import json
import numpy as np
with open("book.csv", newline="") as f:
df = pd.read_csv(
f,
names=[
"book_id",
"ISBN",
"name",
"author",
"author_original",
"translator",
... | jeff-901/bookstore | data/upload.py | upload.py | py | 2,211 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_n... |
72895035873 | # Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the... | CiscoSystems/avos | openstack_dashboard/dashboards/project/data_processing/cluster_templates/tabs.py | tabs.py | py | 2,666 | python | en | code | 47 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "horizon.tabs.Tab",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "horizon.tabs",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "django.utils.tra... |
24844966683 | # -*- coding: utf-8 -*-
"""
Created on Mon Apr 5 16:56:07 2021
@author: Oscar Ferrante oscfer88@gmail.com
"""
import argparse
import P01_maxwell_filtering
import P02_find_bad_eeg
import P03_artifact_annotation
import P04_extract_events
import P05_run_ica
import P06_apply_ica
import P07_make_epochs
... | Cogitate-consortium/cogitate-msp1 | coglib/meeg/preprocessing/P99_run_preproc.py | P99_run_preproc.py | py | 4,675 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "P01_maxwell_filtering.run_maxwell_filter",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "P02_find_bad_eeg.find_bad_eeg",
"line_number": 65,
"usage_type": "call"
... |
42745851265 | #!/usr/bin/env python
"""setup.py for fabric8-analytics-utils."""
from setuptools import setup, find_packages
def get_requirements():
"""Parse dependencies from 'requirements.in' file."""
with open('requirements.in') as fd:
lines = fd.read().splitlines()
requires = []
for line in line... | fabric8-analytics/fabric8-analytics-utils | setup.py | setup.py | py | 807 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "setuptools.setup",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 28,
"usage_type": "call"
}
] |
23720605692 | import math
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.nn.init as init
import numbers
from einops import rearrange, repeat
import torch.utils.checkpoint as checkpoint
from timm.models.layers import DropPath, to_2tuple, trunc_normal_
import torch.nn.functional as F
import math
# f... | m-hmy/NTIRE2023_Dn50_MegNR | models/team20_megnr.py | team20_megnr.py | py | 71,675 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "einops.rearrange",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "einops.rearrange",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
... |
72915555235 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Dec 29 12:57:07 2020
@author: ariels
The flow:
1. reading img file
2. reading json anotation file
3. reading json image bounding box from the file
4. transofming the image
5. transforming the bounding box according to image transfor... | arielsolomon/obj_detection_related | changing_image_perspective.py | changing_image_perspective.py | py | 2,880 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "json.load",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplot",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "matplotlib.pypl... |
5300895343 | import random
from datetime import datetime, date, timezone, timedelta
import time
import os
import tensorflow as tf
gpus = tf.config.experimental.list_physical_devices('GPU')
for gpu in gpus:
tf.config.experimental.set_memory_growth(gpu, True)
from prep import shapes_gen, coco_gen, save_shapes_image, shape_embed... | KoyenaPal/CS1430-FinalProj | code/main.py | main.py | py | 4,973 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "tensorflow.config.experimental.list_physical_devices",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tensorflow.config",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.config.experimental.set_memory_growth",
"line_number": 9... |
39712018252 | import argparse
import logging.config
import os
from src.download import run_download
from src.clean import run_clean
from src.filter import run_filter
from src.featurize import run_featurize
from src.split import run_split
from src.train import run_train
from src.score import run_score
from src.evaluate import run_ev... | lirongm/NYC-Taxi-Price-Estimator | run.py | run.py | py | 8,905 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.config.config.fileConfig",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.config.config",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "logging.config",
"line_number": 17,
"usage_type": "name"
},
{
"api_na... |
71775421154 | import pygame
from jcspygm.core.JCSPyGm_Camera import JCSPyGm_Camera
from jcspygm.core.JCSPyGm_GameObject import JCSPyGm_GameObject
from jcspygm.managers.JCSPyGm_CollisionManager import JCSPyGm_CollisionManager
from jcspygm.managers.JCSPyGm_SceneManager import JCSPyGm_SceneManager
from jcspygm.managers.JCSPyGm_SoundMa... | jcs090218/JCSPyGm_Lib | jcspygm/examples/Player.py | Player.py | py | 6,362 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "jcspygm.core.JCSPyGm_GameObject.JCSPyGm_GameObject",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "jcspygm.core.JCSPyGm_Camera.JCSPyGm_Camera.get_instance",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "jcspygm.core.JCSPyGm_Camera.JCSPyGm_Ca... |
32089809104 | from django.urls import path
from . import views
from .views import BlogDestroyApi, BlogDetailApi, BlogListApi, BlogUpdateApi, BlogCreateApi
urlpatterns = [
path('add/', BlogCreateApi.as_view(), name = "uploadBlog"),
path('bloglist/', BlogListApi.as_view(), name = "blog_list"),
path('blogUpdate/<int:pk... | Oswald-OSEI/BLOGAPP | blogProject/blogProjectApp/urls.py | urls.py | py | 539 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "views.BlogCreateApi.as_view",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "views.BlogCreateApi",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.... |
10186392640 | from tela.tela import Tela
from datetime import datetime
import PySimpleGUI as sg
class TelaRelatorio(Tela):
def __init__(self):
self.__window = None
def menu(self):
layout = [
[sg.Text('Tela Relatório', font=("Helvica", 25))],
[sg.Text('Escolha sua opção', font=("Helv... | VictorDouglasFernandes/pizzaria | tela/tela_relatorio.py | tela_relatorio.py | py | 2,145 | python | pt | code | 0 | github-code | 1 | [
{
"api_name": "tela.tela.Tela",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "PySimpleGUI.Text",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PySimpleGUI.Text",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "PySimpleGUI.Radio",
... |
8980866357 | import torch
import torchvision
from torch.utils.data import DataLoader
from torchvision import datasets, transforms
from torchvision import models
import torch.nn as nn
from torch.autograd import Variable
model = models.vgg16(pretrained=True)
model.classifier[6] = nn.Linear(in_features=4096, out_features=10, bias=Tru... | FukeKazki/STL10 | hait_hackthon_精度確認用.py | hait_hackthon_精度確認用.py | py | 1,875 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "torchvision.models.vgg16",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torchvision.models",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.nn",
... |
2312267586 | """
Bing Zhai's step count implementation (https://github.com/bzhai/AFAR)
of the Verisense Step Count algorithm (https://github.com/ShimmerEngineering/Verisense-Toolbox/tree/master/Verisense_step_algorithm)
modifications by Dan Jackson.
"""
# --- HACK: Allow the test to run standalone as specified by a file in the re... | digitalinteraction/openmovement-python | src/test/test_steps.py | test_steps.py | py | 11,038 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "sys.path.append",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.normpath",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numbe... |
4489876562 | import numpy as np
# 1. 데이터
from sklearn.datasets import load_breast_cancer
datasets = load_breast_cancer()
x = datasets.data
y = datasets.target
print(x.shape) # (569, 30)
print(y.shape) # (569,)
from sklearn.model_selection import train_test_split
x_train, x_test, y_train, y_test = train_test_split(x, y,... | Taerimmm/ML | keras/keras22_2_cancer3.py | keras22_2_cancer3.py | py | 1,663 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "sklearn.datasets.load_breast_cancer",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.MinMaxScaler",
"line_number": 16,
"usag... |
39024559163 | import logging
import os.path
import pytest
from mock import Mock
from pip._vendor import html5lib, requests
from pip._vendor.packaging.specifiers import SpecifierSet
from pip._internal.download import PipSession
from pip._internal.index import (
CandidateEvaluator,
CandidatePreferences,
FormatControl,
... | epicfaace/pip | tests/unit/test_index.py | test_index.py | py | 36,746 | python | en | code | null | github-code | 1 | [
{
"api_name": "pip._internal.index.Link",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "pip._internal.models.candidate.InstallationCandidate",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "pip._internal.index.Link",
"line_number": 56,
"usage_type":... |
29142378878 | import sys
import time
from PyQt5.QtWidgets import QApplication, QMainWindow
from PyQt5 import QtWidgets
from functools import partial
from PyQt5.QtGui import QIcon, QPixmap
from JailSpyder import Ui_MainWindow
from BplusTree import Bptree, KeyValue
import re
import random
import datetime
movies = [] # 每一个movie被... | rfhits/Data-Structure-BUAA | 3-BigProject/JailSpyder/main.py | main.py | py | 14,506 | python | en | code | 5 | github-code | 1 | [
{
"api_name": "BplusTree.Bptree",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 136,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 136,
"usage_type": "attribute"
},
{
"api_name": "PyQt5... |
9925505587 | try:
from quandl_set import *
except:
import quandl
import numpy as np
import pandas as pd
class SDP:
def __init__(self,**args):
assert 'scode' in args
self.scode = args['scode']
self.rawdata = None
self.rawdata_c = None
def get_raw_data(self):
"""
downlo... | HLX-ResearchGroup/SDP | SDP/SDP.py | SDP.py | py | 2,040 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "quandl.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFrame",
"line_number": 24,
"usage_type": "call"
}
] |
28022192855 | from django.urls import path,include
from rest_framework import routers
from.import views
router=routers.DefaultRouter()
router.register(r'data',views.PlanViewSet),
router.register(r'features',views.FeaturesViewSet),
router.register(r'retailer-plan',views.RetailerPlanViewSet),
urlpatterns=[
path('',include(rout... | aman0x/market-place | planApp/api/urls.py | urls.py | py | 332 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "rest_framework.routers",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.urls.path",
"line_number": 13,
"usage_type": "call"
},
{
"api_na... |
36864316913 | # -*- coding: utf-8 -*-
"""
Class definition of YOLO_v3 style detection model on image and video
"""
import colorsys
import os
from timeit import default_timer as timer
import numpy as np
from keras import backend as K
from keras.models import load_model
from keras.layers import Input
from PIL import Image, ImageFont... | 1162620106/Pedestrian-warning-system | yolo.py | yolo.py | py | 11,724 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "keras.backend.get_session",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "keras.backend",
"line_number": 55,
"usage_type": "name"
},
{
"api_name": "os.path.expanduser",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
22710785166 | import pygame
from comet import Comet
# créer une classe pour la gestion de evenemet
class CommetFallEvent:
# au chargement on créer un compteur
def __init__(self, game):
self.percent = 0
self.percent_speed = 33
self.game = game
self.fall_mode = False
# definir un grou... | YvanMackowiak/SimpsonPython | comet_event.py | comet_event.py | py | 1,745 | python | fr | code | 0 | github-code | 1 | [
{
"api_name": "pygame.sprite.Group",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pygame.sprite",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "comet.Comet",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pygame.draw.rect",... |
2206106739 | import os
import numpy as np
from sklearn.datasets import make_blobs
from dnadapt.utils.data import random_split
from dnadapt.utils.utils import folder_if_not_exist, pcts_to_sizes
from dnadapt.globals import datadir
def blob_data(size=1000, pcts=None, centers=None, std=1.0):
if pcts is not None:
size = pc... | mewehez/cancer_doadapt | src/dnadapt/data/toy.py | toy.py | py | 2,386 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "dnadapt.utils.utils.pcts_to_sizes",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets.make_blobs",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "dnadapt.utils.data.random_split",
"line_number": 21,
"usage_type": "call"
... |
31386511196 | from lingpy import *
wl = Wordlist('O_shijing.tsv', col='shijing', row='stanza')
# first make a link between a character in a section and its occurrence as
# rhyme word
chars = []
for k in wl:
char = wl[k,'character']
poem = wl[k,'number']
stanza = wl[k,'stanza']
section = wl[k,'section_number']
... | digling/shijing | C_make_browser.py | C_make_browser.py | py | 1,695 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "os.path.isdir",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 53,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "shutil.copyfile",
"line_numbe... |
24958428117 | import torch
from fastff import FastFeedForward
# Example Usage
input_dim = 768 # Example input dimension
output_dim = 768 # Output dimension
depth = 11 # Depth of the FFF tree
# Create the Fast Feedforward module
fast_ff = FastFeedForward(input_dim=input_dim, output_dim=output_dim, depth=depth)
# Exam... | kyegomez/FastFF | example.py | example.py | py | 486 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "fastff.FastFeedForward",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.randn",
"line_number": 13,
"usage_type": "call"
}
] |
15102394545 | # -*- coding: utf-8 -*-
import xbmc
import xbmcgui
from twitch.constants import Keys
from constants import Images
from utils import theArt, TitleBuilder, getMediaType
class PlaylistConverter(object):
@staticmethod
def convertToXBMCPlaylist(InputPlaylist, title='', image=''):
# Create playlist in Kodi,... | nalle/plugin.video.speedrunslive | resources/lib/converter.py | converter.py | py | 12,096 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "xbmc.PlayList",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "xbmc.PLAYLIST_VIDEO",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "xbmcgui.ListItem",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "utils.theArt"... |
37964354921 | import copy
import os
import numpy as np
from PIL import Image
from RootSeg.RootSeg import RootSeg
if __name__ == "__main__":
class_colors = [[0, 0, 0], [0, 255, 0]]
# input image size
HEIGHT = 512
WIDTH = 512
# background + root = 2
NCLASSES = 2
# example: logs/ep059-loss0.005-val_loss0.02... | Eric-1986/faCRSA | RootSeg/predict.py | predict.py | py | 1,643 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "RootSeg.RootSeg.RootSeg",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"li... |
20836438803 | import json
import logging
import os
import shutil
import tempfile
import urllib.parse
from pathlib import Path
from faf import db
from faf.api.map_schema import MapSchema
from faf.tools.fa.maps import generate_map_previews, parse_map_info, generate_zip
from flask import request
from werkzeug.utils import secure_filen... | FAForever/faf-python-api | api/maps.py | maps.py | py | 13,373 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "flask.request.files.get",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "flask.request.files",
"line_number": 83,
"usage_type": "attribute"
},
{
"api_name": "fl... |
72255780515 | import sys
import pandas as pd
import joblib
# Load the new data for prediction
prediction_data = pd.DataFrame({
"Age": [int(sys.argv[1])],
"EstimatedSalary": [int(sys.argv[2])]
})
# Load the saved model from file
clf = joblib.load('./../trained_model.pkl')
# Perform predictions on the new data
predictions =... | Ahmad44452/shad | site/server/predictor.py | predictor.py | py | 393 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "pandas.DataFrame",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "joblib.load",
"line_num... |
2174787068 | from flask import Flask, jsonify, after_this_request
from resources.series import series
from flask_cors import CORS
from dotenv import load_dotenv
import os
import models
load_dotenv()
DEBUG = True
PORT=8000
app = Flask(__name__)
CORS(series, origins=['http://localhost:3000', 'https://makima-reader.herokuapp.... | wjuang/manga-reader-backend | app.py | app.py | py | 1,509 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "resources.series.serie... |
32634547464 | # -*- coding: utf-8 -*-
'''
Created on 2017. 6. 24.
@author: hwang-ingyu
'''
from Crypto.Random.random import choice
from _curses import version
from boto import Version
class hello(object):
def __init__(self):
self.name = "whang"
ho = hello()
print(ho.name)
class hi(hello):
def __init__(self):
... | IGIGIGIGIG/mypython | python_ver2.7/totest/hello.py | hello.py | py | 1,453 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "Crypto.Random.random.choice",
"line_number": 41,
"usage_type": "call"
}
] |
28414830634 | #!/usr/bin/env python3
#
# Check latest GitHub actions releases.
#
# Requirements
# ============
#
# - `Python <https://www.python.org/>`_ 3.8 or later
# - `PyYAML <https://pypi.org/project/PyYAML/>`_ 5.3.1 or later
# - `requests <https://pypi.org/project/requests/>`_ 2.24.0 or later
# - `termcolor <https://pypi.org/pr... | 10sr/junks | .github/workflows/check-latest-actions.py | check-latest-actions.py | py | 5,919 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.getenv",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "yaml.CSafeLoader",
"line_number": 61,
"usage_type": "attribute"
},
{
"api_name": "yaml.SafeLoader",
"line_number": 63,
"usage_type": "attribute"
},
{
"api_name": "typing.NamedTupl... |
32616831123 | # -*- coding: utf-8 -*-
import os, sys
from setuptools import setup
def read(fname):
return open(os.path.join(os.path.dirname(__file__), fname),
encoding='utf-8').read()
setup(
name='pyjf3',
version='0.3',
description = 'Japanese text functions for Python 3',
long_description = read('... | atsuoishimoto/pyjf3 | setup.py | setup.py | py | 679 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.join",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_n... |
2193875486 | #!/usr/bin/env python3
#-*- coding: utf-8 -*-
"""
Created on Sat Feb 17 13:47:49 2018
@author: code-room
"""
from django.shortcuts import render_to_response
from django.http import HttpResponse
from django import template
def menu(request):
food1 = {'name':'tomato-egg','price':60,'comment':'good!',
'i... | LUCASPYTHON/web | mysite/mysite/views.py | views.py | py | 507 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.shortcuts.render_to_response",
"line_number": 17,
"usage_type": "call"
}
] |
4275954237 | import logging
import socket
import sys
import threading
from dev2lib import event
from dev2lib.action import (ACTIONS, StartAction, AcceptStartAction)
from dev2lib.net import server, connection
log = logging.getLogger("dev2lib.net.session")
log.setLevel(logging.DEBUG)
# create console handler and set level to deb... | BackupTheBerlios/dev2-svn | trunk/dev2lib/net/session.py | session.py | py | 3,859 | python | fr | code | 0 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "logging.StreamHandler",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.DE... |
33518591922 | import os
import sys
from string import Template
errorMessageTemplate = Template("""$reason
RIDE depends on wx (wxPython). Known versions for Python3 are: 4.0.7.post2, 4.1.1 and 4.2.0.\
At the time of this release the current wxPython version is 4.2.0.\
You can install with 'pip install wxPython' on most operating sys... | robotframework/RIDE | src/robotide/__init__.py | __init__.py | py | 4,018 | python | en | code | 910 | github-code | 1 | [
{
"api_name": "string.Template",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number":... |
5586775098 | """
Tool to process NPS feedback
"""
import argparse
import logging
import time
import asyncio
from datetime import datetime, timedelta, timezone
from concurrent.futures import ThreadPoolExecutor
import pandas as pd
from openaicli import OpenAICli # pylint: disable=import-error
from prompt import PromptType # pylint:... | mazharm/feedback | feedback.py | feedback.py | py | 19,676 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.basicConfig",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "logging.ERROR",
"line_number": 60,
"usage_type": "attribute"
},
{
"api_name": "openaicli.OpenAICli",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "pandas.Dat... |
15622441394 | from typing import Iterator, Union, Iterable, Any, Sequence
from bitarray import frozenbitarray as fbarray
from .abstract_ps import AbstractPS
from tqdm.autonotebook import tqdm
class CartesianPS(AbstractPS):
PatternType = tuple[tuple, ...]
max_pattern: tuple # Bottom pattern, more specific than any other o... | EgorDudyrev/paspailleur | paspailleur/pattern_structures/cartesian_ps.py | cartesian_ps.py | py | 2,884 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "abstract_ps.AbstractPS",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "abstract_ps.AbstractPS",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "abstract_ps.AbstractPS",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "t... |
16022455244 | from tt import add
import pytest
@pytest.mark.parametrize(
('input_n', 'input_m', 'expected'),
(
(5, 10, 15),
(10, 10, 20),
)
)
def test_add(input_n, input_m, expected):
assert add(input_n,input_m) == expected
from tt import ll
def test_ll():
assert ll() == (2, ... | rej23/RPS | T1/test_rps.py | test_rps.py | py | 808 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "tt.add",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "tt.ll",
"line_numbe... |
31630163334 | import requests
class DataFormZephyrScale:
def __init__(self, token):
"""
初始化 DateFormZephyrScale 对象。
参数：
token -- Zephyr Scale API 的认证 token
"""
self.bearer_token = token # 初始化时传入实际的 bearer_token
self.base_url = "https://api.ze... | Adeguy/Test-items | Test_framework/Horizon_framework/data_formzephyrscale.py | data_formzephyrscale.py | py | 1,991 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 30,
"usage_type": "call"
}
] |
3539943242 | from datetime import datetime
from os import remove
import glob
import json
from pathlib import Path
from modules.constants import DATE_STR, DATETIME_TODAY
# Logs dir path
LOGS_PATH = Path().cwd() / "logs"
class LogsMixin:
"""Class responsible for manipulating usernames and session logs/errors locally."""
ex... | vladimirpolak/inst-4 | modules/logs_manager.py | logs_manager.py | py | 4,529 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pathlib.Path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "modules.constants.DATE_STR",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "pathlib.Path.cwd",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pathlib.Path"... |
8702112515 | import streamlit as st
import altair as alt
import inspect
from vega_datasets import data
@st.experimental_memo
def get_chart_37227(use_container_width: bool):
import altair as alt
from vega_datasets import data
# Since these data are each more than 5,000 rows we'll import from the URLs
airports =... | streamlit/release-demos | 1.16.0/demo_app_altair/pages/108_Airport_Connections.py | 108_Airport_Connections.py | py | 2,526 | python | en | code | 78 | github-code | 1 | [
{
"api_name": "vega_datasets.data.airports",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "vega_datasets.data",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "vega_datasets.data.flights_airport",
"line_number": 13,
"usage_type": "attribute"
}... |
11339049482 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Script que implementa a magic formula de Joel Greenblatt para empresas na Bovespa.
Dados baixados do site http://fundamentus.com.br
"""
import argparse
import logging
import pandas as pd
import requests
URL = "http://fundamentus.com.br/resultado.php"
MAGIC_METHOD... | thobiast/magicformulabr | src/magicformulabr.py | magicformulabr.py | py | 7,618 | python | en | code | 19 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "argparse.RawDescriptionHelpFormatter",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "logging.DEBUG",
"line_number": 91,
"usage_type": "attribute"
},
{
... |
145908544 | import sys
import getopt
import logging
import nibabel
from spinalcordtoolbox.utils.sys import init_sct, sct_test_path, printv
from spinalcordtoolbox.utils.fs import check_file_exist
logger = logging.getLogger(__name__)
# DEFAULT PARAMETERS
class Param:
# The constructor
def __init__(self):
self.d... | jem0101/BigSwag-SQA2022-AUBURN | TestOrchestrator4ML-main/resources/Data/supervised/GITHUB_REPOS/neuropoly@spinalcordtoolbox/scripts/isct_check_detection.py | isct_check_detection.py | py | 3,353 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "spinalcordtoolbox.utils.sys.printv",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "spinalcordtoolbox.utils.sys.sct_test_path",
"line_number": 33,
"usage_type": "call"
... |
2662096885 | import json
# Parses stored data and prints to screen
def jsonPrintEntry(entry):
print(entry["title"])
print(entry["company"])
print(entry["location"])
print(entry["time"])
print(entry["link"])
print(entry["source"])
print()
def jsonPrintFile(file):
for entry in file:
jsonPrint... | Liya777/Future-Job | src/parser.py | parser.py | py | 537 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "json.load",
"line_number": 19,
"usage_type": "call"
}
] |
72403743715 | from django.shortcuts import render
from rest_framework.decorators import api_view
from rest_framework.response import Response
from .serializers import SubSerializer, AddSerializer
def home(request):
return render(request, 'home.html', {'name': 'name'})
@api_view(['GET', 'POST'])
def add(request):
if reque... | yesing/inflearn_django | calc/views.py | views.py | py | 799 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.shortcuts.render",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "serializers.AddSerializer",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "rest_framework.response.Response",
"line_number": 18,
"usage_type": "call"
},
{
... |
5118123376 | import itertools
floors = (0, 1, 2, 3, 4)
for (H, K, L, P, R) in list(itertools.permutations(floors)):
if K != 0 and \
L != 0 and L != 4 and \
P > K and \
abs(R - L) > 1 and \
abs(L - K) > 1 and \
H != 4:
print('H', 'K', 'L', 'P', 'R')
... | wouterhoutsma/HanzeSE1AI-Exercises | w3e1.py | w3e1.py | py | 363 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "itertools.permutations",
"line_number": 3,
"usage_type": "call"
}
] |
8490947514 | import pyposeidon.meteo as pmeteo
import pyposeidon.model as pmodel
import pytest
import xarray as xr
import os
import shutil
import numpy as np
from . import DATA_DIR
@pytest.mark.parametrize("input_name", ["erai.grib", "era5.grib", "uvp_2018100112.grib"])
def test_schism(tmpdir, input_name):
filename = (DATA_D... | ec-jrc/pyPoseidon | tests/test_meteo_grib.py | test_meteo_grib.py | py | 1,980 | python | en | code | 17 | github-code | 1 | [
{
"api_name": "pyposeidon.meteo.Meteo",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pyposeidon.meteo",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "xarray.open_dataset",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.arr... |
10289198967 |
from datetime import datetime
from pprint import pprint as pp
from paprika.data.data_type import DataType
from paprika.data.data_channel import DataChannel
from paprika.data.feed import Feed
from paprika.data.feed_filter import TimeFreqFilter, Filtration
from paprika.data.constants import TimePeriod
from paprika.sign... | hraoyama/radish | paprika/signals/tests/test_pair_spread_signal.py | test_pair_spread_signal.py | py | 3,650 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "paprika.data.feed.Feed",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "paprika.data.data_type.DataType.TRADES",
"line_number": 18,
"usage_type": "attribute"
},
{
... |
23068073555 | import pandas as pd
from fuzzywuzzy import process
from gensim.models import Word2Vec
model = Word2Vec.load("models/word2vec.model")
def res_imp(restaurant, search_term = ''):
# read absa results
result = pd.read_json('data/result.json')
# confirm restaurant name if restaurant name doesn't ma... | hzchua/PLP-ISS | utils/res_imp.py | res_imp.py | py | 3,367 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "gensim.models.Word2Vec.load",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "gensim.models.Word2Vec",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "pandas.read_json",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "fuzz... |
72582699235 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import print_function
import struct
import socket
import fcntl
import time
import sys
import os
from threading import RLock, Thread
from time import sleep
from contextlib import contextmanager
from collections import deque, defaultdict
impor... | edward9210/wifi_perceive | route/rssiCapture.py | rssiCapture.py | py | 7,780 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "socket.socket",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_DGRAM",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "fcntl.ioctl"... |
25066695312 | """videos
Revision ID: 2afea69b2340
Revises: 9e953d48a222
Create Date: 2022-09-28 17:52:20.256186
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '2afea69b2340'
down_revision = '9e953d48a222'
branch_labels = None
depends_on = None
def upgrade() -> None:
#... | regevti/Pogona_Pursuit | Arena/alembic/versions/2afea69b2340_videos.py | 2afea69b2340_videos.py | py | 692 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "alembic.op.add_column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.DateTim... |
16432787754 | from django.shortcuts import render
# Create your views here.
def index(request):
import datetime
today=datetime.datetime.now()
context={
'today':today
}
return render(request, 'index.html',context)
def gallery(request):
# 1. Access Key 붙여넣기
client_id = '4Yi9QTOdW2bvZtGa5CPRt-lEqQh... | ttppggnnss/django_practice | 0330/mygallery/pages/views.py | views.py | py | 960 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "datetime.datetime.now",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.shortcuts.render",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "re... |
17015732444 | #!/usr/bin/python3
""" List cities """
if __name__ == "__main__":
import sys
import MySQLdb
engine = MySQLdb.connect(user=sys.argv[1],
passwd=sys.argv[2], host="localhost",
db=sys.argv[3])
search = MySQLdb.escape_string(sys.argv[4]).decode()
... | student1043/holbertonschool-higher_level_programming | 0x0F-python-object_relational_mapping/5-filter_cities.py | 5-filter_cities.py | py | 826 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "MySQLdb.connect",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number"... |
74290556192 | import pytest
from tenqpy.core import *
import quaternion
import numpy as np
def test_real_imag():
q = quaternion.as_quat_array(np.random.randn(2, 3, 4))
req = real(q)
imq = imag(q)
assert np.allclose(q, req + imq)
def test_real_imag2():
q = quaternion.as_quat_array(np.random.... | jflamant/tenqpy | tests/test_core.py | test_core.py | py | 829 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "quaternion.as_quat_array",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.random.randn",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "numpy.allc... |
12398640655 | from setuptools import setup
import os
import sys
if sys.version_info < (3, 5):
sys.exit("Python < 3.5 is not supported.")
def get_version(version_tuple):
return ".".join(map(str, version_tuple))
init = os.path.join(
os.path.dirname(__file__), ".", "", "__init__.py")
version_line = list(
... | dvnll/ecpli | setup.py | setup.py | py | 754 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "sys.version_info",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
18202883163 | import sys
import json
from ..utilities.classification.compat import (
taxon_json_taxonomy_to_classification_engine)
def main(taxonomy, *files_to_scan):
with open(taxonomy, "rt") as fp:
engine = taxon_json_taxonomy_to_classification_engine(json.load(fp))
for f in files_to_scan:
print... | os2datascanner/os2datascanner | src/os2datascanner/engine2/commands/classify.py | classify.py | py | 565 | python | en | code | 8 | github-code | 1 | [
{
"api_name": "utilities.classification.compat.taxon_json_taxonomy_to_classification_engine",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 20,
"usage_type": "attri... |
30859322306 | from django.urls import path
from . import views
from .views import UpdateEvent, DeleteEvent, CreateEvent, AllDonations, UpdateDonation, PeopleList, \
AddPeople, UpdatePeople, DeletePeople, DetailPeople, DistributionList, distribute, DistributionDetail, detail_event
urlpatterns = [
path('', views.events, name... | arafah-dhrubo/poor-donation-django | amraipari/events/urls.py | urls.py | py | 1,785 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "views.events",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "views.donation",
... |
15302164703 | from torch.utils.data import ConcatDataset
# Local imports
from data_loader.dataloader_registry import DATALOADER
def create_dataset(cfg, split, split_name, length=0, transform=None):
"""
Create the complete dataloader for each of the splits.
cfg = configuration information for the program
split = l... | steff456/MLBase | utils/utils.py | utils.py | py | 803 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "data_loader.dataloader_registry.DATALOADER",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "torch.utils.data.ConcatDataset",
"line_number": 23,
"usage_type": "call"
}
] |
15143064739 | #!/usr/bin/env python
# coding: utf-8
# # COURSE: Master statistics and machine learning: Intuition, Math, code
# ##### COURSE URL: udemy.com/course/statsml_x/?couponCode=202006
# ## SECTION: The t-test family
# ### VIDEO: One-sample t-test
# #### TEACHER: Mike X Cohen, sincxpress.com
# In[ ]:
# import libraries
i... | mikexcohen/Statistics_course | Python/ttest/stats_ttest_oneSampleT.py | stats_ttest_oneSampleT.py | py | 1,509 | python | en | code | 18 | github-code | 1 | [
{
"api_name": "numpy.random.randn",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "matplotli... |
10840272466 | from flask import Flask, request , jsonify
from flask import Flask, render_template
from werkzeug.utils import secure_filename
import soundfile
import os
import io
import librosa
import pandas as pd
from operator import add
import numpy as np
import pickle as pk
from scipy.stats import skew
from sklearn.decomposition ... | Kesavaram/Smart-Nutrition-Tracker-Web-app | backend.py | backend.py | py | 9,682 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "flask.request.files.get",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "flask.request.files",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "flask.re... |
70745182434 | #!/usr/bin/env python
import zmq
context = zmq.Context()
socket = context.socket(zmq.SUB)
socket.setsockopt(zmq.SUBSCRIBE, "")
socket.connect('tcp://localhost:5555')
for i in range(10):
print(socket.recv())
| gregfreeman/zmq_rpi_demo | helloworld/sub2.py | sub2.py | py | 214 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "zmq.Context",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "zmq.SUB",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "zmq.SUBSCRIBE",
"line_number": 7,
"usage_type": "attribute"
}
] |
32521599736 | from __future__ import absolute_import, division, unicode_literals
import pickle
import os
import io
import copy
import logging
import numpy as np
from discoeval.tools.validation import SplitClassifier
class RSTEval(object):
def __init__(self, taskpath, seed=1111):
logging.debug('***** Transfer task : R... | moqingxinai/DiscoEval | discoeval/rst.py | rst.py | py | 4,218 | python | en | code | null | github-code | 1 | [
{
"api_name": "logging.debug",
"line_number": 15,
"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.join",
"line_numb... |
21733293041 | """Таблица токен."""
from sqlalchemy import Column, DateTime, ForeignKey, Integer, String
from authorization.src.app.db.models.base import Base
class Token(Base):
"""Таблица токен."""
__tablename__ = 'token'
token_id = Column(Integer, primary_key=True)
user_id = Column(Integer, ForeignKey('user.use... | YanaShurinova/shift_credit_card | authorization/src/app/db/models/token.py | token.py | py | 417 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "authorization.src.app.db.models.base.Base",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer",
"line_number": 12,
"usage_type": "argument"
},
{
... |
5305546439 | import numpy as np
from scipy.optimize import minimize
class SVM:
def __init__(self, trainx: np.ndarray, trainy: np.ndarray, n_epoch: int = 100):
self.trainx = trainx
self.trainy = trainy
self.n_sample, self.n_dim = trainx.shape
self.n_epoch = n_epoch
def kernel(self, X1, ... | bravo583771/CS5350-6350-in-University-of-Utah | SVM/SVM.py | SVM.py | py | 4,897 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.ndarray",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "numpy.exp",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.square",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.norm",
"lin... |
72721492514 | import numpy as np
import pandas
import matplotlib.pyplot as plt
with open("data\\5.6\\srvotst.csv") as f:
servo_pd = pandas.read_csv(f)
f.close()
print(servo_pd.head())
plt.title("Y vs U for SG995 Left Hip")
plt.scatter(servo_pd["Time"], servo_pd["Left_Hip"], color = "tab:red", label="Y_Left")
plt... | AdamMOD/Bipedal-Bot | python/data_analysis_run_servo.py | data_analysis_run_servo.py | py | 576 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.title",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "matplotlib.p... |
2671495662 | # pylint: disable=no-self-use,invalid-name
import numpy
import pytest
from allennlp.common.checks import ConfigurationError
from allennlp.common.testing import AllenNlpTestCase
from allennlp.data.fields import MultiLabelField
from allennlp.data.vocabulary import Vocabulary
class TestMultiLabelField(AllenNlpTestCase)... | dki-lab/GrailQA | allennlp/tests/data/fields/multilabel_field_test.py | multilabel_field_test.py | py | 4,034 | python | en | code | 89 | github-code | 1 | [
{
"api_name": "allennlp.common.testing.AllenNlpTestCase",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "allennlp.data.fields.MultiLabelField",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "allennlp.data.vocabulary.Vocabulary",
"line_number": 19,
"u... |
7861352919 | #!/usr/bin/env python
# coding: utf-8
# # Author: Ayush Kakar
#
#
#
#
# # Titanic - Machine Learning From Disaster - Dataset (World Happiness Report-2021)
# In[23]:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
# In[24]:
data=pd.read_csv('world-happin... | Ayush28193/World-Happiness-Report | WORLD HAPPINESS REPORT.py | WORLD HAPPINESS REPORT.py | py | 2,949 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 65,
"usage_type": "name"
},
{
"api_name": "seaborn.ba... |
37695510863 | '''
Trung Vo
CSE 512 - HW2
problem 3.2 - toydata - Multiclass SVM
'''
import numpy as np
from cvxopt import matrix, solvers
import scipy.io as sio
import itertools
from sklearn.metrics import confusion_matrix
import matplotlib.pyplot as plt
import math
from utils import *
data = sio.loadmat('./hw2data/q3_1_data.mat')
... | TrungTVo/multiclass-svm | multiclass_svm.py | multiclass_svm.py | py | 1,860 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "scipy.io.loadmat",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "scipy.io",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "numpy.shape",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.shape",
"line_number"... |
20850391833 | import os
import sys
sys.path.append(os.getcwd())
import warnings
warnings.simplefilter("ignore", ResourceWarning)
import argparse
# Important Imports
import torch
from torch.utils.tensorboard import SummaryWriter
from torch.utils.data import DataLoader
# Project Imports
from nasrec.supernet.supernet import (
Super... | facebookresearch/NasRec | nasrec/train_supernet.py | train_supernet.py | py | 12,774 | python | en | code | 24 | github-code | 1 | [
{
"api_name": "sys.path.append",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "warnings.simplefilter",
"lin... |
19676131682 | # Simon Chu
# Created on Sun Nov 1 18:32:24 EST 2020
# Modified on Wed 2021-01-06 09:30:08
#
# lexer.py
# lexer definition file
#
# reference:
# https://rply.readthedocs.io/en/latest/
from rply import LexerGenerator
import stl.tool as tool
class Lexer:
"""lexical analyzer class
Attributes:
self... | sychoo/STL-API | stl/parsing/lexer.py | lexer.py | py | 2,920 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "rply.LexerGenerator",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "stl.tool.repl",
"line_number": 92,
"usage_type": "call"
},
{
"api_name": "stl.tool",
"line_number": 92,
"usage_type": "name"
}
] |
22066247710 | from math import pi
import torch
import torch.nn as nn
from pytorch_lightning.core.module import LightningModule
from loc_ndf.models import loss
from loc_ndf.utils import vis, utils
import open3d as o3d
from easydict import EasyDict
import tqdm
from loc_ndf.utils import pytimer
######################################... | PRBonn/LocNDF | src/loc_ndf/models/models.py | models.py | py | 9,198 | python | en | code | 65 | github-code | 1 | [
{
"api_name": "pytorch_lightning.core.module.LightningModule",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "loc_ndf.models.loss.ProjectedDistanceLoss",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "loc_ndf.models.loss",
"line_number": 25,
"usage_t... |
45175760641 | import configparser
import textwrap
CONFIG_LOC = r"%LOCALAPPDATA%\GOG.com\Galaxy\Configuration\plugins\ps2\config.ini"
class Config:
def __init__(self):
self.cfg = configparser.ConfigParser(allow_no_value=True)
self.cfg.set("DEFAULT", "; Make sure to use / instead of \ in file paths.")
sel... | AHCoder/galaxy-integration-ps2 | src/config.py | config.py | py | 3,047 | python | en | code | 37 | github-code | 1 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "textwrap.dedent",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "textwrap.dedent",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "textwrap.ded... |
15583501123 | from ast import parse, walk, FunctionDef, ClassDef, Name
from re import findall
from math import log, sqrt
from pandas import DataFrame
from nltk.stem import PorterStemmer
from sklearn.metrics.pairwise import cosine_similarity
from .Analyzer import Analyzer
class SemanticAnalyzer(Analyzer):
def __init__(self, ... | charlesgery/viseagull | viseagull/analysis/SemanticAnalyzer.py | SemanticAnalyzer.py | py | 6,178 | python | en | code | 14 | github-code | 1 | [
{
"api_name": "Analyzer.Analyzer",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pandas.DataFrame.from_dict",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "sklearn... |
29182387246 | import os
import time
import warnings
warnings.filterwarnings("ignore")
import json
import torch
from transformers import DebertaV2Tokenizer, RobertaTokenizer
from util import form_dataset
from model import RE_Model
from eval import eval_re
def adjust_learning_rate_exp(optimizer, epoch, num_ne_epochs, ne_lr, qg_lr, ... | AOZMH/Crake | src_main/RE/main.py | main.py | py | 7,684 | python | en | code | 8 | github-code | 1 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "time.ctime",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"l... |
18271865605 | # -*- coding: utf-8 -*-
"""
@Time : 2022/3/1 4:37 下午
@Author : hcai
@Email : hua.cai@unidt.com
"""
import os
import sys
import torch
import logging
from datetime import datetime
from torch.utils.data import DataLoader
sys.path.append(os.path.dirname(__file__))
from gutils.config import get_gpt_args
from gmodels... | Hanscal/unlp | unlp/supervised/nlg/gpt_eval.py | gpt_eval.py | py | 3,007 | python | en | code | 9 | github-code | 1 | [
{
"api_name": "sys.path.append",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
28755992480 | import itertools
import time
from pprint import pprint
import numpy as np
import ray, torch
import torch.nn as nn
from ray.util.placement_group import placement_group, PlacementGroupSchedulingStrategy, remove_placement_group
from ray.util.queue import Queue
from copy import deepcopy
from architecture.mcts import MCTS... | Nimi42/AlphaZero | src/training/self_play.py | self_play.py | py | 3,100 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "ray.remote",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "ray.remote",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "ray.nodes",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "ray.util.placement_group.placement_gr... |
23755548788 | # # from validate_email import validate_email
# # from tqdm import tqdm
# # # DNS.defaults['server']=['8.8.8.8', '8.8.4.4']
# # if validate_email('varmaashik@gmail.com'):
# # print("Email is Valid")
# # else:
# # print("Invalid Email")
# # is_valid = validate_email('varmaashik@gmail.com',check_mx=True)
... | ashikvarma11/email-verifier | emailVal.py | emailVal.py | py | 2,640 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "dns.resolver.resolver.query",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "dns.resolver.resolver",
"line_number": 65,
"usage_type": "attribute"
},
{
"api_name": "dns.resolver",
"line_number": 65,
"usage_type": "name"
},
{
"api_name": "s... |
10989328134 | import os
import tempfile
import unittest
import torch
from torch import nn
from towhee.trainer.optimization.adafactor import Adafactor
from towhee.trainer.optimization.adamw import AdamW
from towhee.trainer.scheduler import (
configure_constant_scheduler,
configure_constant_scheduler_with_warmup,
configur... | towhee-io/towhee | tests/unittests/trainer/test_scheduler.py | test_scheduler.py | py | 5,456 | python | en | code | 2,843 | github-code | 1 | [
{
"api_name": "tempfile.TemporaryDirectory",
"line_number": 33,
"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": "torch.save",
... |
8048305405 | import requests
import time
import os
from dotenv import load_dotenv
from twilio.rest import Client
def get_status(user_id):
load_dotenv()
token = os.getenv('token_vk')
params = {
'user_ids' : user_id,
'access_token' : token,
'v':5.103,
'fields':'online',
}
url = '... | meat9/api_01_sms | homework.py | homework.py | py | 1,253 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "dotenv.load_dotenv",
"l... |
27750796145 | from apistar import Include, Route, hooks, http, types
from apistar.frameworks.wsgi import WSGIApp as App
from apistar.handlers import docs_urls, static_urls
import pymongo
def AcceptOrigin(method: http.Method, response: types.ReturnValue):
response.headers.append("Access-Control-Allow-Origin", "*")
response.... | SummerStoneS/apistar_mongodb | app.py | app.py | py | 1,454 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "apistar.http.Method",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "apistar.http",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "apistar.types.ReturnValue",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "api... |
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