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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
12009423058 | from __future__ import annotations
from dataclasses import fields
from typing import Tuple
import numpy as np
from napari.layers import Image
def update_layer_contrast_limits(
layer: Image,
contrast_limits_quantiles: Tuple[float, float] = (0.01, 0.98),
contrast_limits_range_quantiles: Tuple[float, float... | bkntr/napari-brainways | src/napari_brainways/utils.py | utils.py | py | 1,473 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "napari.layers.Image",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "numpy.quantile",
"l... |
24270752412 | import numpy as np
import matplotlib.pyplot as plt
import os
import torch
import torchvision
import numpy as np
from torchvision import transforms
from sklearn.metrics import precision_recall_curve, average_precision_score, auc, roc_auc_score, roc_curve
import matplotlib.pyplot as plt
from config import *
import random... | dhaivat1729/detectron2_CL | generative_classifier/maha_dist_analysis.py | maha_dist_analysis.py | py | 4,431 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.manual_seed",
"line_number... |
74957082106 | # Sinw wave plot tool
import numpy as np
import matplotlib.pyplot as plt
f =0.5 #frequency of sine wave
# f =2
A =5# maximum amplitude of sine wave
# A = 1
x = np.arange(-6.28, 6.28, 0.01)# array arranged from -pi to +pi and with small increment of 0.01
# x = np.arange(-3.14, 3.14, 0.01)
#y = A*np.sin(f*x)
y = A*np.ta... | dilshad-geol/IRIS-2022-Seismology-Skill-Building-Workshop | 00_UNIX_DataFiles/python/numpy/sine.py | sine.py | py | 397 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.arange",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.tan",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
... |
12643025727 | from playsound import playsound
import os
import pandas as pd
path = "audio/" # path to the dataset
files = os.listdir(path)
df = pd.DataFrame([], columns = ["file_name", "label"])
for file, i in zip(files, range(len(files))):
print("Currently playing " + file)
playsound(path + file)
label = input("Please, provid... | Barsegh-A/audio-labelling | script.py | script.py | py | 556 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.listdir",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "playsound.playsound",
"line_number": 12,
"usage_type": "call"
}
] |
27250989956 | import torch.nn.functional as F
import torch.nn as nn
import torch
filters = torch.tensor([[[[2, 0, 0],
[1, 0, 1],
[0, 3, 0]],
[[1, 0, 1],
[0, 0, 0],
[1, 1, 0]],
[[0... | moon-hotel/DeepLearningWithMe | Archived/02_ConvolutionalNN/01_CNNOP/01_CnnOpSingleFilter.py | 01_CnnOpSingleFilter.py | py | 1,225 | python | en | code | 116 | github-code | 6 | [
{
"api_name": "torch.tensor",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "torch.tensor",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.tensor",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional.conv2d",
... |
33153414975 | import dgl
import torch
import torch.nn as nn
import torch.nn.functional as F
import math
import dgl.function as fn
from dgl.nn.pytorch import edge_softmax
class GCNLayer(nn.Module):
def __init__(self,
in_feats,
out_feats,
activation,
dropout,
... | raspberryice/ala-gcn | layers.py | layers.py | py | 21,424 | python | en | code | 21 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torch.nn.Parameter",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
50777891 | from typing import List
class Solution:
def dailyTemperatures(self, temperatures: List[int]) -> List[int]:
ans = [0] * len(temperatures)
stack = [0]
for i in range(1, len(temperatures)):
if temperatures[i] <= temperatures[stack[-1]]:
# if temp is not larger, jus... | code-cp/leetcode | solutions/739/main.py | main.py | py | 802 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 4,
"usage_type": "name"
}
] |
34405330102 | import matplotlib.pyplot as plt
import numpy as np
import os, tkinter, tkinter.filedialog, tkinter.messagebox
# show the file selection filedialog
root = tkinter.Tk()
root.withdraw()
fTyp = [('','*')]
iDir = os.path.abspath(os.path.dirname(__file__))
# tkinter.messagebox.showinfo('簡易プロットプログラムです','どのフォルダのcsvでグラフを作る？')
... | kobashin/GHz-ultrasonic | easy_plot.py | easy_plot.py | py | 1,071 | python | ja | code | 1 | github-code | 6 | [
{
"api_name": "tkinter.Tk",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_numb... |
38840281994 | from django.shortcuts import render, get_object_or_404, redirect, HttpResponse
from django.contrib.auth.decorators import login_required
from account.models import User
from product.models import Product
from .models import Message, MessageRoom
@login_required
def check_message_room(request, product_id):
product ... | bishwopr/creative-poultry | messaging/views.py | views.py | py | 2,261 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "product.models",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.get_object_or_404",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "product.models.Product",
"line_number": 10,
"usage_type": "argument"
},
{
"api_... |
27082622973 | from fastapi import APIRouter, Depends, HTTPException
from ...celery.tasks import ExcelParser
from ..crud.dishes_crud import DishesCrud
from ..crud.menu_crud import MenuCrud
from ..crud.submenu_crud import SubmenuCrud
parser_router = APIRouter(prefix='/parser', tags=['Parser'])
@parser_router.post('/parse-excel')
a... | puplishe/testproject | fastapi1/api/routes/excel_router.py | excel_router.py | py | 756 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "crud.menu_crud.MenuCrud",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "crud.submenu_crud.SubmenuCrud",
"line_number": 14,
"usage_type": "name"
},
{
"api_name":... |
45635574383 | from typing import Dict, List, Optional, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from .conv_tasnet import TCN, GatedTCN
from .lobe.activation import get_activation
from .lobe.norm import get_norm
from .lobe.rnn import FSMN, ConditionFSMN
class Unet(nn.Module):
"""
Generic_Ar... | mcw519/PureSound | puresound/nnet/unet.py | unet.py | py | 26,136 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_n... |
30338109347 | from collections import deque
n, k = map(int, input().split())
graph = [[] * (k+1) for _ in range(k+1)]
gmap = [[] * (n+1) for _ in range(n+1)]
for i in range(1, n+1):
arr = list(map(int, input().split()))
gmap[i] = arr
for j, m in zip(arr, range(1, n+1)):
if j != 0:
graph[j].append((i, ... | minju7346/CordingTest | bfs3.py | bfs3.py | py | 944 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 18,
"usage_type": "call"
}
] |
8310320668 | from stevedore import extension
class Extensions:
"""Lazy singleton container for stevedore extensions.
Loads each namespace when requested for the first time.
"""
_managers = {}
def __init__(self):
raise NotImplementedError()
@classmethod
def get(cls, namespace, name):
... | dwtcourses/SHARE | share/util/extensions.py | extensions.py | py | 658 | python | en | code | null | github-code | 6 | [
{
"api_name": "stevedore.extension.ExtensionManager",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "stevedore.extension",
"line_number": 24,
"usage_type": "name"
}
] |
17202898458 | #!/usr/bin/env python
import robot
import time
from AWSIoTPythonSDK.MQTTLib import AWSIoTMQTTClient
import json
import logging
def send_json(data):
msg = {'action':data}
msg = json.dumps(msg)
return (msg)
def action(client, userdata, message):
data = message.payload.decode()
data = json.loads(data)
data = da... | mkyle1121/gopigo | web/robot_sock_client2.py | robot_sock_client2.py | py | 2,084 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.dumps",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "robot.forward",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "robot.stop",
"line_number": 2... |
2075941699 | import pandas as pd
from datetime import datetime
import os
def get_csv(source):
try:
df = pd.read_csv('data/' + source + '.csv')
except (OSError, IOError) as e:
df = pd.DataFrame()
print(e)
return df;
def get_status(source_name):
return '';
def set_status(source_name, status)... | shodnebo/datafetch | csv_helper.py | csv_helper.py | py | 1,729 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"li... |
44248042853 | import cv2
import numpy as np
import glob
import uuid
import caffe
import skimage.io
from util import histogram_equalization
from scipy.ndimage import zoom
from skimage.transform import resize
import random
import cv2
import numpy as np
from matplotlib import pyplot as plt
import dlib
from project_face import frontaliz... | juanzdev/TeethClassifierCNN | src/mouth_detector_opencv.py | mouth_detector_opencv.py | py | 3,870 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "cv2.CascadeClassifier",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "dli... |
40650003765 | import re
import requests
from selenium import webdriver
from xvfbwrapper import Xvfb
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.keys import Keys
from selenium.common ... | Foxonn/ytgrabber | ytgrabber.py | ytgrabber.py | py | 3,726 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "re.match",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.support.ui.WebDrive... |
45356075426 | import numpy as np
from PyQt5.QtCore import QSize
from PyQt5.QtGui import QIcon, QColor
from PyQt5.QtWidgets import QListWidgetItem, QPushButton
from LGEprocess.flags_LGE import *
from skimage import exposure, img_as_float
import torch.utils.data as Datas
from LGEprocess import Network as Network
import nibabel as nib
... | JefferyCYH/pyqt_medical | LGEprocess/listWidgetItems_LGE.py | listWidgetItems_LGE.py | py | 6,988 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.device",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.__version__",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data.... |
19579927717 | from pymongo import MongoClient
from flask import Flask, jsonify
from flask_cors import CORS
app = Flask(__name__)
CORS(app)
@app.route("/")
def hello():
new_list = []
client = MongoClient()
db = client.variables
variables = db.variables
cursor = variables.find({})
# print(variables)
for ... | OlzyInnovation/DaveBot_Forex | server.py | server.py | py | 2,308 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"li... |
3660394854 | import sqlite3
conn=sqlite3.connect("Stationary_inventt.db")
c = conn.cursor()
print(" database successful")
#using drop table to avoid duplicate copy
c.execute("DROP TABLE IF EXISTS Stationery_stock")
c.execute("""
CREATE TABLE Stationery_stock(
ITEM_ID INTEGER,
ITEMS TEXT,
COST_PRICE INTEGER,
QUANTITY_IN_STOCK INTEG... | debbytech22/module-5-solutions | Lesson_3_solution.py | Lesson_3_solution.py | py | 1,271 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sqlite3.connect",
"line_number": 2,
"usage_type": "call"
}
] |
21204997139 | # -*- coding: utf-8 -*-
"""
This is a prototype script.
"""
import numpy as np
from PIL import Image
from PIL import ImageEnhance
from scipy.ndimage import gaussian_filter
import cv2
from skimage import io as ip
frame_rate = 24 #output frame rate
vidcap = cv2.VideoCapture('video9.mov')
success,image... | PindareTech/video-modding-script | editing_script.py | editing_script.py | py | 3,414 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.imwrite",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_num... |
194935106 | from rest_framework.decorators import api_view
from rest_framework.response import Response
from rest_framework.reverse import reverse
from rest_framework import serializers
from rest_framework import generics
from rest_framework import viewsets
from rest_framework.decorators import detail_route, list_route
from rest_f... | xmaruto/mcord | xos/core/xoslib/methods/cordsubscriber.py | cordsubscriber.py | py | 17,144 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.serializers",
"line_number": 21,
"usage_type": "argument"
},
{
"api_name": "rest_framework.serializers.ReadOnlyField",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 23,
"usage_type"... |
40224803539 | import sys
from PyQt6.QtWidgets import QApplication, QWidget, QLabel
from PyQt6.QtGui import QPixmap, QFont
class MainWindow(QWidget):
def __init__(self):
"""constructor for Empty windows """
super().__init__()
self.initializeUI()
def initializeUI(self):
"""Set up the applicati... | grant-Gan/programing_learn | pyqt6_learn/ch2-Building_a_simple_GUI/user_profile.py | user_profile.py | py | 2,148 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PyQt6.QtWidgets.QWidget",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "PyQt6.QtWidgets.QLabel",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "PyQt6.QtGui.QPixmap",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "PyQ... |
29582028401 | # License AGPL-3.0 or later (https://www.gnu.org/licenses/agpl).
import logging
from odoo import api, models, _
_logger = logging.getLogger(__name__)
class AccountInvoice(models.Model):
_inherit = 'account.invoice'
@api.multi
def action_auto_open(self):
return_item = super(AccountInvoice, self).a... | OdooNodrizaTech/slack | slack_sale_orders_generate_invoice/models/account_invoice.py | account_invoice.py | py | 2,180 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "odoo.models.Model",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "odoo.api.multi",
... |
33942211702 | import uvicorn
import datetime
from loguru import logger
from fastapi import FastAPI
from sqlalchemy import select
from fastapi.middleware.cors import CORSMiddleware
from SAGIRIBOT.ORM.AsyncORM import orm
from SAGIRIBOT.Core.AppCore import AppCore
from SAGIRIBOT.command_parse.Commands import *
from SAGIRIBOT.ORM.Async... | m310n/sagiri-bot | WebManager/web_manager.py | web_manager.py | py | 3,231 | python | en | code | null | github-code | 6 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "fastapi.middleware.cors.CORSMiddleware",
"line_number": 18,
"usage_type": "argument"
},
{
"api_name": "SAGIRIBOT.ORM.AsyncORM.orm.fetchall",
"line_number": 28,
"usage_type": "call"
... |
43953915570 | from flask import Flask, request, abort
from linebot import (
LineBotApi, WebhookHandler
)
from linebot.exceptions import (
InvalidSignatureError
)
from linebot.models import *
# My Code
from util import *
app = Flask(__name__)
# Channel Access Token
line_bot_api = LineBotApi('++7wQ1tXdLomUPrrUbvcKEE12HAh+e... | asianpwnage422/myLineBot | line-bot-kevin/app.py | app.py | py | 2,208 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "linebot.LineBotApi",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "linebot.WebhookHandler",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "flask.request.h... |
15915660899 | """initial
Revision ID: 977a56225963
Revises: None
Create Date: 2016-09-24 22:05:55.701455
"""
# revision identifiers, used by Alembic.
revision = '977a56225963'
down_revision = None
from alembic import op
import sqlalchemy as sa
def upgrade():
### commands auto generated by Alembic - please adjust! ###
o... | cloudiirain/Website | migrations/versions/977a56225963_.py | 977a56225963_.py | py | 1,139 | python | en | code | null | github-code | 6 | [
{
"api_name": "alembic.op.create_table",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
72000465789 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import copy
import datetime
import locale
import os
from tqdm import tqdm
from collections import *
from typing import Optional,List,Tuple
from trident.backend.common import *
from trident.backend.pytorch_op... | AllanYiin/trident | trident/models/pytorch_embedded.py | pytorch_embedded.py | py | 9,944 | python | en | code | 74 | github-code | 6 | [
{
"api_name": "trident.context._context",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "trident.context",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"... |
11160464439 | from django.db import models
from book_archive.models import Genre
from config.models import User
class BookRequest(models.Model):
title = models.CharField('Наименование', max_length=128)
author = models.CharField('Автор', max_length=128, null=True, blank=True)
genre = models.ForeignKey(Genre, on_delete=... | SliceOfMind/thesombot_web | book_request/models.py | models.py | py | 989 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.db.models.Model",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "... |
8655579477 | from torch import nn
import torch
import utils
import cv2
import numpy as np
import supervisely_lib as sly
def inference(model: nn.Module, input_height, input_width, image_path, device=None):
with torch.no_grad():
model.eval()
image = sly.image.read(image_path) # RGB
input = utils.prepare_image_i... | supervisely-ecosystem/unet | custom_net/inference.py | inference.py | py | 1,728 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.no_grad",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "supervisely_lib.image.read"... |
16013407471 | import cv2
import numpy as np
import matplotlib.pyplot as plt
img=cv2.imread('/home/hasantha/Desktop/repos/old-yolov4-deepsort-master/data/download2.png' ,0)
#img=img[423:998,806:1408]
ret, bw_img = cv2.threshold(img, 200, 255, cv2.THRESH_BINARY) #165
kernel = np.ones((1,1),np.uint8)
#erosion = cv2.erode(img,kernel,i... | hasantha-nirmal/Traffic_Violation_Detection_Yolov4_Deep-Sort | lane_line_extract3.py | lane_line_extract3.py | py | 850 | python | en | code | 23 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.threshold",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.THRESH_BINARY",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "numpy.ones",
"line_n... |
37349408 | """See `TestSet` for an example."""
from typing import Type, MutableSet
from tests.collection_testing import unordered_equal
class MutableSetTests:
mutable_set: Type = None
@classmethod
def create_mutable_set(cls) -> MutableSet:
return cls.mutable_set()
@staticmethod
def get_element(i):... | BlackHC/mamo | tests/collection_testing/test_mutable_set.py | test_mutable_set.py | py | 2,179 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.Type",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.MutableSet",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "tests.collection_testing.unordered_equal",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": ... |
32347991199 | import cv2 as cv
import numpy as np
def nothing(x):
pass
cap= cv.VideoCapture('pranay1.avi')
fourcc= cv.VideoWriter_fourcc('X', 'V', 'I', 'D')
out= cv.VideoWriter('final1.avi', fourcc, 20.0, (640,480) )
#cv.namedWindow('Tracking')
#cv.createTrackbar('l_h', 'Tracking', 0, 255, nothing)
#cv.createTrackbar('l_s', 'Tr... | pranayvarmas/Virtual-Keyboard | Mini-Projects/Invisible Cloak.py | Invisible Cloak.py | py | 1,721 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.VideoWriter_fourcc",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.VideoWriter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
... |
20497360293 | import random
from datetime import datetime
ALPHABET = 'abcdefghijklmnopqrstuvwxyz'
conteudo = 'There are many variations of passages of Lorem Ipsum available, but the ' \
'majority have suffered alteration in some form, by injected humour, or randomised ' \
'words which look even slightly believ... | Adriano1976/Curso-de-Python | Secao11-Django-com-Python-Projetos/Projeto-Blog/posts-generator.py | posts-generator.py | py | 1,787 | python | pt | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "random.choices",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "random.randint... |
855819574 | #!/usr/bin/env python
#
# This example creates a polygonal model of a cone, and then renders it to
# the screen. It will rotate the cone 360 degrees and then exit. The basic
# setup of source -> mapper -> actor -> renderer -> renderwindow is
# typical of most VTK programs.
#
#
# First we include the VTK Python packag... | VisTrails/VisTrails | examples/vtk_examples/Tutorial/Step1/Cone.py | Cone.py | py | 2,362 | python | en | code | 100 | github-code | 6 | [
{
"api_name": "vtk.vtkConeSource",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "vtk.vtkPolyDataMapper",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "vtk.vtkActor",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "vtk.vtkRenderer"... |
32506954132 | import csv
import numpy as np
import os
import pydicom
from segmentation_models.backbones import get_preprocessing
import tensorflow as tf
from pneumothorax_segmentation.constants import image_size, folder_path
from pneumothorax_segmentation.data_augment import apply_random_data_augment
from pneumothorax_segmentation.... | benoitkoenig/pneumothorax-segmentation | preprocess.py | preprocess.py | py | 4,252 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "segmentation_models.backbones.get_preprocessing",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pneumothorax_segmentation.constants.folder_path",
"line_number": 20,
"usage_type"... |
39459918108 | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^$', views.home, name='index'),
# url(r'^games/(?P<steamid>[0-9]+)$', views.games, name='games'),
url(r'^home/$', views.home, name='home'),
url(r'^games/', views.games, name='games'),
url(r'^friends/', views.friends, name=... | ryanchesler/allauth_django | core/urls.py | urls.py | py | 401 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.c... |
44399481784 | import gym
from collections import deque
import numpy as np
import time
import torch
torch.manual_seed(0) # set random seed
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.distributions import Categorical
from policy import Policy
from gym.wrappers.monitoring.video_recorder... | david-wb/acrobot-v1 | train.py | train.py | py | 1,870 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "torch.manual_seed",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "gym.make",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
... |
29943421716 | import argparse
import yaml
from pyspark.sql.functions import udf, when, year
class CreateSqlInput:
def __init__(self):
self.name = 'CalculateStats'
@staticmethod
@udf
def extract_production(dict_string):
try:
production_array = yaml.load(dict_string, Loader=yaml.FullLoade... | richierichard99/TrueFilmIngest | tfi_etl/CreateSqlInput.py | CreateSqlInput.py | py | 2,302 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "yaml.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "yaml.FullLoader",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.functions.udf",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pyspark.sql.... |
33671678331 | from __future__ import annotations
from datetime import datetime
from datetime import timedelta
from unittest.mock import MagicMock
import pytest
from common.reddit_client import RedditClient
from prawcore.exceptions import Forbidden
from requests import Response
@pytest.fixture
def reddit_client():
return Redd... | kelvinou01/university-subreddits | tests/unit/test_reddit_client.py | test_reddit_client.py | py | 2,642 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "common.reddit_client.RedditClient",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "unittest.mock.MagicMock",
"line_number": 24,
"usage_type": "call"
},
{
"api... |
35031048423 | from celery import Celery
from celery.schedules import crontab
app = Celery(
"vivaldi",
broker_url="redis://localhost:6379/0",
result_backend="redis://localhost:6379/0",
imports=["tasks"],
task_serializer="json",
result_serializer="json",
accept_content=["json"],
timezone="Europe/Lisbon... | miccaldas/celery_and_friends | celery_and_friends/vivaldi/__init__.py | __init__.py | py | 525 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "celery.Celery",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "celery.schedules.crontab",
"line_number": 17,
"usage_type": "call"
}
] |
36961545751 | #!/usr/bin/env python
# coding: utf-8
# ## App Creation
#
# First, import all necessary libraries:
# In[1]:
#App Libraries
import json
import dash
from dash import html, dcc, Input, Output, State, dash_table
import dash_bootstrap_components as dbc
#Distributions
from scipy.stats import gamma
from scipy.stats impo... | annette-bell/SInR-Covid-Dissertation | dash_lambda.py | dash_lambda.py | py | 44,277 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.random.seed",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 54,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.gamma",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "numpy.random",... |
6313183972 |
from django.urls import path, include
from django.conf.urls import url
from mysite import views
urlpatterns = [
path('search/', views.search_view, name='search'),
url(r'^request/(?P<record_id>[-\w]+)/$', views.send_req_view, name='request'),
path('requests/', views.req_view, name='requests'),
path('... | abpopal/sehat.af | mysite/urls.py | urls.py | py | 1,044 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "mysite.views.search_view",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "mysite.views",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.conf.... |
30188434989 | import bluetooth
class Alpha1S:
"""
Class to control the Ubtech Alpha 1S robot
"""
def __init__(self, name="ALPHA 1S"):
self.__bt = self.Alpha1S_bluetooth(name)
def battery(self):
"""
Get battery information.
Returns:
dict: Dictionary with fields:
... | alvaroferran/Alpha1S | alpha1s/__init__.py | __init__.py | py | 7,677 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "bluetooth.discover_devices",
"line_number": 171,
"usage_type": "call"
},
{
"api_name": "bluetooth.BluetoothSocket",
"line_number": 179,
"usage_type": "call"
},
{
"api_name": "bluetooth.RFCOMM",
"line_number": 179,
"usage_type": "attribute"
}
] |
72532676669 | # pylint: disable=protected-access
# pylint: disable=redefined-outer-name
# pylint: disable=unused-argument
import urllib.parse
from pathlib import Path
from random import choice
from typing import Awaitable, Callable
import pytest
from aiohttp import web
from aiohttp.test_utils import TestClient
from faker import F... | ITISFoundation/osparc-simcore | services/storage/tests/unit/test_handlers_files_metadata.py | test_handlers_files_metadata.py | py | 5,239 | python | en | code | 35 | github-code | 6 | [
{
"api_name": "typing.Callable",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "pydantic.ByteSize",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "typing.Awaitable",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
... |
15697493759 | import cv2 as cv
# Cargamos la imagen y transformamos en blanco y negro
img_original = cv.imread("imgs/Cuadrados.jpg")
img_bnw = cv.cvtColor(img_original, cv.COLOR_BGR2GRAY)
# Aplicamos la funcion de deteccion de esquinas
maxCorners = 20
esquinas = cv.goodFeaturesToTrack(img_bnw, maxCorners, 0.01, 10)
# Definimos el... | FadedGuy/Universidad | L3/visionComputador/tp5/cuestiones/8.py | 8.py | py | 816 | python | es | code | 2 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "cv2.goodFeaturesToTrack"... |
3835462701 | #coding: utf-8
import urllib
import BaseHTTPServer
from SimpleHTTPServer import SimpleHTTPRequestHandler
import webbrowser
import os
from threading import Timer
import base64
from ui import Image
import console
import sys
import io
sys.stderr = io.StringIO()
console.show_activity('Creating images…')
imagefilenames ... | 0942v8653/pythonista-homescreen-icon | chooseicon.py | chooseicon.py | py | 2,087 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "sys.stderr",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "io.StringIO",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "console.show_activity",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.splitext",
... |
7571022590 | import numpy as np
import logging
import sys
import pkg_resources
import pytz
import datetime
import os
import re
from numpy import cos,sin
# Get the version
version_file = pkg_resources.resource_filename('pynortek','VERSION')
# Setup logging module
logging.basicConfig(stream=sys.stderr, level=logging.DEBUG)
logger =... | MarineDataTools/pynortek | pynortek/pynortek.py | pynortek.py | py | 17,352 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "pkg_resources.resource_filename",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "l... |
70809071868 | # ------------------------------------------------------------------#
# AMPBA - 2021 Winter :: Data Collection assignment - PART2 #
# Group Id : 3 #
# Authors: #
# Nishant Jalasutram - PG I... | deepkamal/DC_AMPBA_W2021 | 3_matchDetails.py | 3_matchDetails.py | py | 11,760 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "scrapy.Spider",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Spider",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Request",
"line_number": 226,
"usage_type": "call"
}
] |
38751132701 |
import os
import util
import config
scanned_files = 0
for directory, _, files_list in os.walk(config.td):
#directory looks like "c:\user\box\...\phonexx\images"
for ea_filename in files_list:
#ea_filename looks like "ADX-....jpg"
file_path = (directory+"\\"+ea_filename)
#file_path ... | maravis05/EyeCup-File-Scanner | move_pxl.py | move_pxl.py | py | 1,001 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.walk",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "config.td",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "config.td",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "config.dd",
"line_number": 27... |
37314756203 | import pandas as pd
import sklearn
import matplotlib.pyplot as plt
import seaborn
import load_data
train = load_data.get_data()[0]
testX = load_data.get_data()[1]
inv_labels = load_data.get_inverted_labels()
trainX = train.drop(['SalePrice'], axis = 1)
trainY = train['SalePrice']
def info_discrete(column):
scatt... | jantar44/reg_house_prices | house_prices/house_prices.py | house_prices.py | py | 1,771 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "load_data.get_data",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "load_data.get_data",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "load_data.get_inverted_labels",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "seab... |
24985299915 | #Imprting libraries
from dash import Dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
from random import randint
import plotly.express as px
# Creating dash environment
app = Dash(__name__)
# Constructing the layout
app.layout = html.Div([
# T... | Miautawn/simple-DashBoard-with-Dash | random_plotter.py | random_plotter.py | py | 2,553 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dash.Dash",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "dash_html_components.Div",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "dash_html_components.Div",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "dash_core... |
10230332445 | """
This file defines the recorder classes which log eval results in different ways,
such as to a local JSON file or to a remote Snowflake database.
If you would like to implement a custom recorder, you can see how the
`LocalRecorder` and `Recorder` classes inherit from the `RecorderBase` class and
override certain me... | openai/evals | evals/record.py | record.py | py | 23,030 | python | en | code | 12,495 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "contextvars.ContextVar",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "typing.Optio... |
6214826810 | from json import loads
from bot_core.utils.redis_topics import CMD_COLL_NAME
from bot_core.utils.action_tools import cmd_analysis, pub_sub
def main():
pub_sub.subscripe(CMD_COLL_NAME)
while (True):
msg_data = pub_sub.get_message().get("data", None)
if msg_data:
cmd_analysis(
... | KTOALE/tel_bot_coro | bot_core/src/main_core.py | main_core.py | py | 401 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "bot_core.utils.action_tools.pub_sub.subscripe",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "bot_core.utils.redis_topics.CMD_COLL_NAME",
"line_number": 8,
"usage_type": "argument"
},
{
"api_name": "bot_core.utils.action_tools.pub_sub",
"line_number"... |
7998920894 | import random
from . import users
from flask import request
import json
##### Hier kommt code, den ich einfach von Tina so übernommen habe. Wenn er schlecht ist ist Tina schuld ############
import os
from dotenv import load_dotenv
from flask import jsonify, Response
import pymongo
import hashlib # Die brauchen wir fü... | rosemaxio/flauraBackend | users/Api.py | Api.py | py | 10,619 | python | de | code | 0 | github-code | 6 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pymongo.MongoClient... |
12919232280 | import datetime
categories = ['INACTIVE', 'WEB', 'AUDIO', 'VIDEO', 'GAMING']
inp = raw_input("Clear? Y/N\n")
if inp in ["y", "Y"]:
with open('log.txt', 'w') as f:
f.write("")
while True:
for i, c in enumerate(categories):
print("{}: {}".format(i, c))
cat = raw_input()
print("\n")
time = date... | noise-lab/ml-networking | activities/lib/interative_log.py | interative_log.py | py | 420 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 16,
"usage_type": "attribute"
}
] |
7129738963 | #!/usr/bin/env python
import pandas as pd
from collections import defaultdict
import argparse
def bowtie2bed(fn, fo):
"""
From a bowtie output (tsv, NOT sam) file, return a BED file.
:param fn: string
name of bowtie default output tsv file
:param fo: string
name of bedfile output to... | YeoLab/chim-eCLIP | bin/bowtie2bed.py | bowtie2bed.py | py | 1,281 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 30,
"usage_type": "call"
}
] |
38763808043 | import spotipy
from model import *
from enum import Enum
class EmotionsMood(Enum):
"""Creating constants to assign to different moods"""
Calm = 1 #Calm
Energetic = 2
happy = 2
sad = 0
def get_songs_features(sp,ids):
"""Get features of songs to identify tyoe of music"""
meta = sp.track(id... | nagarro-hackathon-2023/python_ml | spotify.py | spotify.py | py | 3,947 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "enum.Enum",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "spotipy.Spotify",
"line_number": 54,
"usage_type": "call"
}
] |
29899432213 | import numpy as np
from absl import app, flags
HEADER_SIZE = 10
RECORD_SIZE = 100
FLAGS = flags.FLAGS
flags.DEFINE_string(
"input_file",
None,
"Path to binary data file.",
short_name="i",
)
flags.DEFINE_string(
"output_file",
None,
"Path to output file (optional).",
short_name="o",
)
... | exoshuffle/raysort | scripts/misc/decode.py | decode.py | py | 1,340 | python | en | code | 14 | github-code | 6 | [
{
"api_name": "absl.flags.FLAGS",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "absl.flags",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "absl.flags.DEFINE_string",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "absl.flags",
... |
39399855904 | import datetime
import decimal
import logging
import os
import re
from kensu.psycopg2.pghelpers import get_table_schema, get_current_db_info, pg_query_as_dicts
from kensu.utils.kensu_provider import KensuProvider
from kensu.utils.kensu import KensuDatasourceAndSchema
from kensu.utils.dsl.extractors.external_lineage_dto... | Fundamentals-of-Data-Observability/handson | python_environment/volume/week2/dbt/dbt-do/dbt-ast/kensu_postgres.py | kensu_postgres.py | py | 12,258 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "pglast.Node",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "logging.debug",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "pglast.parse_sql",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "pglast.ast.RawStmt",
"... |
70749170429 | #Server dependencies
#from gevent.pywsgi import WSGIServer
from threading import Thread
from flask import Flask, request, send_from_directory
from flask_mobility import Mobility
import os
#Apis used
from assistant import sendToAssistant
#File management
#from bs4 import BeautifulSoup
import codecs
#import re
import j... | Creativity-Hub/chatbot_template | main.py | main.py | py | 2,540 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "datetime.datetime.today",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "codecs.open",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "threading.Threa... |
36312680043 | import pandas as pd
from xml.etree import ElementTree as ET
import requests
from datetime import datetime
import matplotlib.pyplot as plt
q_range = {'Range': 1}
q_resp_group = {'ResponseGroup': 'History'}
q_url_WHO = {'https://www.who.int/'}
q_date = datetime.date(datetime.now())
url = "https://awis.api.alexa.com/api... | alanalien/covid_19_circumstantial_evidences | data_processing_funs/click_ratio_data.py | click_ratio_data.py | py | 1,858 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.date",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "reques... |
2799425380 | import os.path
import random
import torchvision.transforms as transforms
import torch
from data.base_dataset import BaseDataset, get_params, get_transform, normalize
from data.image_folder import make_dataset
from PIL import Image
import numpy as np
class AlignedDataset(BaseDataset):
def initialize(self, opt):
... | carolineec/EverybodyDanceNow | data/aligned_dataset.py | aligned_dataset.py | py | 3,566 | python | en | code | 639 | github-code | 6 | [
{
"api_name": "data.base_dataset.BaseDataset",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "os.path.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.... |
71844650429 | from django.conf import settings
from django.urls import NoReverseMatch, reverse
def get_slug_or_pk(object, slug_field=None):
res = dict()
field = slug_field if hasattr(object, slug_field) else "pk"
if object:
param = "slug" if hasattr(object, slug_field) else "pk"
res.update({param: getat... | dbsiavichay/faclab | viewpack/shortcuts.py | shortcuts.py | py | 1,595 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.reverse",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "django.urls.reverse",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "django.urls.NoReverseMatch",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "dj... |
12050674214 | """Define settings for the window"""
from data.options import CUSTOM_SETTINGS_FILENAME
import json
from logger import logger
from os import path
DEFAULT_SETTINGS = {
"width": 1024,
"height": 768
}
def get(_type, data):
"""Used to get value for the settings file
Args:
_type (string)
... | Barbapapazes/dungeons-dragons | config/window.py | window.py | py | 779 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "data.options.CUSTOM_SETTINGS_FILENAME",
"line_number": 27,
"usage_type": "argument"
},
{
"api_name": "os.path",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "json.l... |
27082695603 | import pytest
from httpx import AsyncClient
from fastapi1.main import app
menu_id = ''
def assert_menu_properties(response_json):
if not response_json:
return
assert 'id' in response_json
assert 'title' in response_json
assert 'description' in response_json
@pytest.mark.anyio
async def tes... | puplishe/testproject | tests/test_menu.py | test_menu.py | py | 3,056 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "httpx.AsyncClient",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "fastapi1.main.app",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "pytest.mark",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "httpx.AsyncClien... |
24428391900 | #!/usr/bin/python3
""" sends a post request to the URL and displays the body
"""
import requests
from sys import argv
if __name__ == "__main__":
url = argv[1]
r = requests.get(url)
if r.status_code == 200:
print(r.text)
else:
print("Error code: {}".format(r.status_code))
| Isaiah-peter/alx-higher_level_programming | 0x11-python-network_1/7-error_code.py | 7-error_code.py | py | 305 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
}
] |
21320836605 | from typing import Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch_geometric.nn import SAGEConv
from torch_geometric.nn import aggr
from src.utils import make_diff_matrix, triu_vector
class Model(nn.Module):
NUM_NODE_FEATURES = 140
NUM_OPCODES = 120
def __init__(sel... | Obs01ete/kaggle_latenciaga | src/model.py | model.py | py | 7,190 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
10888914316 | import random
from django.template.loader import render_to_string
from .naver import 블로그_검색, 상한가_크롤링, 테마별_시세_크롤링
def search(search_engine, keyword):
if search_engine == '네이버 블로그':
post_list = 블로그_검색(keyword)
response_text = render_to_string('dialogflow/naver_blog_search_result.txt', {
... | allieus-archives/demo-20180805-startup-dev | dialogflow/actions.py | actions.py | py | 937 | python | ko | code | 16 | github-code | 6 | [
{
"api_name": "naver.블로그_검색",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.template.loader.render_to_string",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "naver.상한가_크롤링",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "nave... |
74199623228 | from tkinter import messagebox
from PyPDF2 import PdfReader, PdfWriter
import os
class TrabajarPDF:
def divide_pdf(self, rutaPDF, rutaGuardar, num_pages):
pdf_reader = PdfReader(rutaPDF)
total_pages = len(pdf_reader.pages)
for i in range(0, total_pages, num_pages):
pdf_writer =... | JhostinR/emergia_projects | dividir_unir_pdf/controller/dividir_functions.py | dividir_functions.py | py | 753 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PyPDF2.PdfReader",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "PyPDF2.PdfWriter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
74606056828 | from __future__ import unicode_literals
import errno
import json
import logging
import os
__author__ = 'Jakub Plichta <jakub.plichta@gmail.com>'
logger = logging.getLogger(__name__)
class DashboardExporter(object):
def process_dashboard(self, project_name, dashboard_name, dashboard_data):
pass
clas... | jakubplichta/grafana-dashboard-builder | grafana_dashboards/exporter.py | exporter.py | py | 2,430 | python | en | code | 141 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line... |
38292113901 | import cv2
from cv2 import dnn_superres
# Create an SR object
sr = dnn_superres.DnnSuperResImpl_create()
# Read image
image = cv2.imread('2.jpg')
# ##########Read the desired model
#path = "./models/EDSR_x3.pb"
path = "./models/LapSRN_x2.pb"
sr.readModel(path)
# Set the desired model and scale to get correct pre- a... | Hsoleimanii/SuperResolution | super.py | super.py | py | 1,013 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "cv2.dnn_superres.DnnSuperResImpl_create",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.dnn_superres",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "cv2.imread",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.... |
34712009040 | # Coding Math Episode 9b
# Add the acceleration and observe how it impacts velocity (speed + direction)
# on the fireworks
__author__ = "piquesel"
import pygame
import math
import random
from ep7 import Vector as Vector
class Particle:
'Represents a particle defined by its position, velocity and direction'
... | piquesel/coding-math | ep9b.py | ep9b.py | py | 1,954 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "ep7.Vector",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "ep7.Vector",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "ep7.Vector",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pygame.init",
"line_number": 33,... |
4715617180 | from square.configuration import Configuration
from square.client import Client
from django.contrib.auth.models import User
from django.conf import settings
import datetime
from pytz import utc as utc
from django.utils import timezone
from dateutil.relativedelta import relativedelta
import uuid
ACCESS_TOKEN = settin... | BryceTant/LabLineup | LLenv/LabLineup/app/Payment.py | Payment.py | py | 4,739 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.conf.settings.SQUARE_ACCESS_TOKEN",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "django.conf.settings.SQUARE_ENV",
"line_number": 14,
"usage_type": "at... |
36078929738 | import requests
from sqlalchemy import or_
from flask import Blueprint
from flask_login import current_user
from flask import redirect, request, render_template, url_for, jsonify
from models import User, MealRequest, Proposal
from dbSession import session
from loginAPIKeyDecorator import require_api_key
f... | NaPiZip/Online-course-notes | Designing_RESTful_APIs/Exercices/L5/appEndpoints.py | appEndpoints.py | py | 7,871 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Blueprint",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "keyHelper.get_mapquest_key_dict",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "keyHelper.get_foursquare_key_dict",
"line_number": 17,
"usage_type": "call"
},
{
... |
27828726752 | # -*- coding: utf-8 -*-
import pandas as pd
import numpy as np
import re
import arcpy
import sys
import traceback
import tempfile
import os
__author__ = "Coen Jonker"
class ColumnParser(object):
def __init__(self):
self.non_alpha_pattern = re.compile(r'[^A-Za-z0-9_]')
self.ending = re.compile(r'... | wagem007/asset-management-geo | tactisch_plan_xlsx_to_feature_class.py | tactisch_plan_xlsx_to_feature_class.py | py | 3,474 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "re.compile",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 20,
... |
30353259361 | from os import path
import os
import sys
from os.path import join, dirname
# Enthought library imports.
from pyface.action.api import Action
from traitsui.api import auto_close_message
# Local imports
import mayavi.api
from mayavi.core.common import error
from mayavi.preferences.api import preference_manager
# To fi... | enthought/mayavi | mayavi/action/help.py | help.py | py | 2,807 | python | en | code | 1,177 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "mayavi.api.api",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "mayavi.api",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"li... |
12492560506 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
from __future__ import print_function
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.metrics import classification_report
from sklearn import metrics
from sklearn import tree
import warnings
warnings.filterwarni... | Panktibhatt08/Machine-Learning | Machine Learning Final Project.py | Machine Learning Final Project.py | py | 14,506 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "ipywidgets.interact",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "ipywidget... |
43721480783 | import numpy as np
from config import *
from KnowledgeSent import KnowledgeSentence
from transformers import BertTokenizer, BertModel
import torch
hops = FLAGS.hops
string_year = str(FLAGS.year)
number = 0
start = FLAGS.start
end = FLAGS.end
if string_year == '2015':
number = 3864
elif string_year == ... | Felix0161/KnowledgeEnhancedABSA | Embeddings.py | Embeddings.py | py | 4,594 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "transformers.BertTokenizer.from_pretrained",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "transformers.BertTokenizer",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "transformers.BertModel.from_pretrained",
"line_number": 37,
"usage_... |
4546238710 |
import cv2
from matplotlib.pyplot import contour
import numpy as np
import matplotlib.pyplot as plt
from random import randint
import matplotlib.pyplot as plt
def DetectPositionMaxSkin(filename,x, y, w, h, lower, upper):
#y=y+50
Image = cv2.VideoCapture(filename)
#Image = cv2.VideoCaptu... | raquelpantojo/Detectskin | DetectNail.py | DetectNail.py | py | 6,004 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2HSV",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "cv2.inRange",
... |
33787246110 | from itertools import chain
import os
import pytest
@pytest.fixture(scope="module")
def organization_id():
"""Get Organization ID from the environment variable """
return os.environ["GCLOUD_ORGANIZATION"]
@pytest.fixture(scope="module")
def source_name(organization_id):
from google.cloud import security... | silverdev/google-cloud-python | securitycenter/docs/snippets_findings.py | snippets_findings.py | py | 20,863 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pytest.fixture",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "google.cloud.securitycenter.SecurityCenterClient",
"line_number": 16,
"usage_type": "call"
},
{
"api... |
37005580941 | #coding: utf-8
import tornado.web
from basehandler import BaseHandler
from lib.lrclib import LrcLib
from lib.songinfo import SongInfo
from models import MusicModel, UserModel
import json
import re
import logging
log = logging.getLogger("index")
log.setLevel(logging.DEBUG)
rm_regex = r"/(\([^\)]*\))|(\[[^\]]*\])|(（[^）... | mgbaozi/ruankusb | handlers/index.py | index.py | py | 3,525 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "re.sub",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "basehandler.BaseHandler",... |
8207780556 | import base64
from django.shortcuts import render
from django.http import JsonResponse
from django.views.decorators.cache import never_cache
from stolen_wiki_game.models import Article
# Create your views here.
def index(request):
return render(request, 'stolen_wiki_game/index.html', {})
@never_cache
def arti... | Jack-Naughton/homepage | stolen_wiki_game/views.py | views.py | py | 596 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.shortcuts.render",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "stolen_wiki_game.models.Article.objects.order_by",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "stolen_wiki_game.models.Article.objects",
"line_number": 17,
"us... |
32822098386 | # coding:utf-8
from flask import request
from flask import Flask, render_template
from controller import search, getPage, get_suggestion
import sys
import json
# reload(sys)
# sys.setdefaultencoding('utf-8')
app = Flask(__name__)
@app.route('/')
def index():
return "the server is running!"
# return render_t... | QimingZheng/WSM-Project-WikiSearch | app/index.py | index.py | py | 1,221 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "flask.request.args.... |
6251031632 | import matplotlib.pyplot as plt
import eel
eel.init("web")
userid = []
@eel.expose
def login(uid,upass):
get = open("data.txt", "r")
temp = get.readlines()
udata = []
for i in range(len(temp)):
if temp[i].startswith(uid):
udata = temp[i].split("|")
... | vish0290/Polling-System-File-Structures | main.py | main.py | py | 17,483 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "eel.init",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "eel.expose",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "eel.expose",
"line_number": 80,
"usage_type": "attribute"
},
{
"api_name": "eel.expose",
"line_number"... |
22457592991 | import torch
from transformers import BertTokenizer, BertModel, BertConfig, AdamW, BertForMaskedLM
from tokenizers import ByteLevelBPETokenizer
from tokenizers.implementations import ByteLevelBPETokenizer
from tokenizers.processors import BertProcessing
from sumerian_data import SumerianDataset
from typing import... | sethbassetti/sumerian_embeddings | src/BERTmodel.py | BERTmodel.py | py | 7,800 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.device",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.utils",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_numbe... |
17541028772 | #/usr/bin/env python
from pwn import *
from Crypto.Util.number import bytes_to_long, long_to_bytes
from Crypto.Cipher import AES
import hashlib
import os
import base64
from gmpy2 import is_prime
class Rng:
def __init__(self, seed):
self.seed = seed
self.generated = b""
self.num = 0
def more_bytes(self... | cybernatedwizards/CybernatedWizardsCTF | 2020/DragonCTF_2020/bitflip1/sol.py | sol.py | py | 3,818 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "hashlib.sha256",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "Crypto.Util.number.long_to_bytes",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "Crypto.Util.number.bytes_to_long",
"line_number": 19,
"usage_type": "call"
},
{
"... |
72568366267 | #!/usr/bin/env python
import seaborn
import numpy as np
import os
from collections import OrderedDict
import pandas as pd
import matplotlib.pyplot as plt
import sys
from termcolor import cprint
# Load data
# Global vars for tracking and labeling data at load time.
exp_idx = 0
label_parser_dict = None
smooth_factor =... | flowersteam/social-ai | data_analysis_neurips.py | data_analysis_neurips.py | py | 22,418 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "os.walk",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 5... |
7722787082 | from spynnaker.pyNN import exceptions
from spynnaker.pyNN.models.neural_projections.connectors.abstract_connector \
import AbstractConnector
from spynnaker.pyNN.models.neural_properties.synaptic_list import SynapticList
from spynnaker.pyNN.models.neural_properties.synapse_row_info \
import SynapseRowInfo
import... | ominux/sPyNNaker | spynnaker/pyNN/models/neural_projections/connectors/from_list_connector.py | from_list_connector.py | py | 3,525 | python | en | code | null | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "spynnaker.pyNN.models.neural_projections.connectors.abstract_connector.AbstractConnector",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 50,
... |
11702399982 | import md5
import random
#from settings import SOLRSOLR_HOST, SOLR_PORT
# Make this unique, and don't share it with anybody.
SECRET_KEY = 'j*zdirg7yy9@q1k=c*q!*kovfsd#$FDFfsdfkae#id04pyta=yz@w34m6rvwfe'
def generate_hash():
hash = md5.new()
hash.update("".join(map(lambda i: chr(random.randint(0, 255)), range(16... | bioinformatics-ua/montra | emif/insert_script.py | insert_script.py | py | 2,771 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "md5.new",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 56,
"usage_type": "call"
}
] |
12791911896 | from django.contrib.auth.models import User
from django.http import JsonResponse, Http404
from django.shortcuts import redirect, get_object_or_404
from django.urls import reverse
from django.utils.decorators import method_decorator
from django.views.generic import DetailView, CreateView, View, TemplateView, DeleteView
... | skazancev/NeKidaem | project/blog/views.py | views.py | py | 3,548 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.views.generic.View",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.models.User.objects.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects",
"line_number": 19,
"usage... |
7763839215 | from Monitor import Monitor
import MonitorVarTypes
import requests
monitor_var = {'PreviousClosingPrice': MonitorVarTypes.FLOAT}
monitor_text = "URL FORMAT: https://api.polygon.io/v2/aggs/ticker/{TICKER}/prev?apiKey={APIKEY}; \nGo to https://polygon.io/docs/get_v1_meta_symbols__stocksTicker__news_anchor for more info... | YuHanjiang/IFTTT-backend | Monitors/PolygonStockAPIMonitor.py | PolygonStockAPIMonitor.py | py | 881 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "MonitorVarTypes.FLOAT",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "Monitor.Monitor",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
}
] |
40139751051 | from PIL import Image
img = Image.open("UnoDeck2.png")
i = 0
for y in range(6):
j = 2
k = 3
for x in range(12):
if i == 64:
break
left = 0
top = 0
height = 256
width = 166
box = (width+j)*x, (height+k)*y, width*(x+1)+(j*x), height*... | CrazyScorcer/ImageCutter | imageCut.py | imageCut.py | py | 472 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PIL.Image.open",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 3,
"usage_type": "name"
}
] |
33038113455 | """Config flow for Withings."""
import logging
import voluptuous as vol
from withings_api.common import AuthScope
from homeassistant import config_entries
from homeassistant.components.withings import const
from homeassistant.helpers import config_entry_oauth2_flow
_LOGGER = logging.getLogger(__name__)
@config_ent... | 84KaliPleXon3/home-assistant-core | homeassistant/components/withings/config_flow.py | config_flow.py | py | 2,112 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "homeassistant.helpers.config_entry_oauth2_flow.AbstractOAuth2FlowHandler",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "homeassistant.helpers.config_entry_oauth2_flow",
... |
32639606030 | import unittest
from selenium import webdriver
from selenium.webdriver.common.by import By
class AddRemoveElements(unittest.TestCase):
def setUp(self) -> None:
self.driver = webdriver.Chrome(executable_path="chromedriver")
self.driver.get('https://the-internet.herokuapp.com/')
self.dr... | yorlysoro/intro_selenium_course | test_add_remove.py | test_add_remove.py | py | 1,436 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "sele... |
28969789667 | import machine
import picoweb
import ujson
import ulogging as logging
import ure as re
import utime
from common import config
app = picoweb.WebApp(__name__)
hooks = {}
CONFIGURE_DEVICE_HOOK = 'CONFIGURE_WIFI'
CONFIGURE_AWS_HOOK = 'CONFIGURE_AWS'
CONFIGURE_SENSOR_HOOK = "CONFIGURE_SENSOR"
GET_STATUS_HOOK = 'GET_STATU... | wizzdev-pl/iot-starter | MicroPython/src/web_server/web_app.py | web_app.py | py | 5,324 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "picoweb.WebApp",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "ujson.dumps",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "ujson.loads",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "utime.time",
"line_number"... |
15624457572 | import numpy as np
from keras.utils import to_categorical
from sklearn.model_selection import train_test_split
test_size = 0.2
seed = 42
x_data = np.load('./data/soja_images_150_new.npy', allow_pickle=True)
y_data = np.load('./data/soja_labels_150_new.npy', allow_pickle=True)
x_data = x_data.astype(np.float32)
y_da... | nagahamaVH/soybean-image-classif | app/src/prepare_data.py | prepare_data.py | py | 741 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "keras.utils.to_categorical",
... |
3177305776 | from flipperzero_cli import CONFIG, load_config, show_config, \
read_until_prompt, print_until_prompt, check_file_presence, \
flipper_init, main, \
storage_read, save_file, download_from_flipper, \
upload_to_flipper, check_local_md5, compare_md5
import builtins
import pytest
from unittest.mock import ... | nledez/flipperzero-cli | tests/test_cli.py | test_cli.py | py | 14,895 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "flipperzero_cli.load_config",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "flipperzero_cli.CONFIG",
"line_number": 51,
"usage_type": "name"
},
{
"api_name": "flipperzero_cli.load_config",
"line_number": 55,
"usage_type": "call"
},
{
"ap... |
35413864969 | import multiprocessing
from multiprocessing import Process
from cleanup import TwitterCleanuper
from preprocessing import TwitterData
from word2vec import Word2VecProvider
import pandas as pd
def preprocess(results, data_path, is_testing, data_name, min_occurrences=5, cache_output=None):
twitter_data = TwitterData... | michal0janczyk/information_diffusion | fuzzy_logic/word_2_vectors/main.py | main.py | py | 7,484 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "preprocessing.TwitterData",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cleanup.TwitterCleanuper",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "word2vec.Word2VecProvider",
"line_number": 19,
"usage_type": "call"
},
{
"api_n... |
16505295497 | from typing import List, Dict, Tuple
def create_chirp_dictionary(file_name: str) \
-> Dict[int, Tuple[int, str, List[str], List[int], List[int]]]:
"""
Opens the file "file_name" in working directory and reads the content into a
chirp dictionary as defined on Page 2 Functions 2.
Note, some spac... | kimber1y-tung/CSC108 | assignment3/A3-2.py | A3-2.py | py | 2,659 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.Dict",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 4,
"usage_type": "name"
}
] |
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