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{
"cells": [
{
"cell_type": "markdown",
"id": "1b70b34e",
"metadata": {},
"source": [
"### Basic library imports"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "719d15af",
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"import pandas as pd"
]
},
{
"cell_type": "markdown",
"id": "b8911e33",
"metadata": {},
"source": [
"### Read Dataset"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "d3136aac",
"metadata": {},
"outputs": [],
"source": [
"DATASET_FOLDER = '../dataset/'\n",
"train = pd.read_csv(os.path.join(DATASET_FOLDER, 'train.csv'))\n",
"test = pd.read_csv(os.path.join(DATASET_FOLDER, 'test.csv'))\n",
"sample_test = pd.read_csv(os.path.join(DATASET_FOLDER, 'sample_test.csv'))\n",
"sample_test_out = pd.read_csv(os.path.join(DATASET_FOLDER, 'sample_test_out.csv'))"
]
},
{
"cell_type": "markdown",
"id": "60ebd689",
"metadata": {},
"source": [
"### Run Sanity check using src/sanity.py"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "81bb3988",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Parsing successfull for file: ../dataset/sample_test_out.csv\r\n"
]
}
],
"source": [
"!python sanity.py --test_filename ../dataset/sample_test.csv --output_filename ../dataset/sample_test_out.csv"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "5aa79459",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Error: Invalid unit [lbs] found in 6.75 lbs. Allowed units: {'watt', 'litre', 'kilogram', 'gallon', 'millilitre', 'microgram', 'millimetre', 'microlitre', 'kilowatt', 'imperial gallon', 'foot', 'kilovolt', 'millivolt', 'quart', 'inch', 'centimetre', 'yard', 'decilitre', 'ton', 'metre', 'pound', 'fluid ounce', 'cup', 'pint', 'volt', 'centilitre', 'ounce', 'gram', 'cubic inch', 'milligram', 'cubic foot'}\r\n"
]
}
],
"source": [
"!python sanity.py --test_filename ../dataset/sample_test.csv --output_filename ../dataset/sample_test_out_fail.csv"
]
},
{
"cell_type": "markdown",
"id": "dbe930a8",
"metadata": {},
"source": [
"### Download images"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "a3d1aad8",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"#images to download: 54\n",
"Download started... using 64 threads\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\u001b[38;2;0;255;0m100%\u001b[39m \u001b[38;2;0;255;0m(54 of 54)\u001b[39m |########################| Elapsed Time: 0:00:00 ETA: 00:00:00\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"... Download completed, Elapsed Time: 0.9588 seconds\n"
]
}
],
"source": [
"from utils import download_images\n",
"download_images(sample_test['image_link'], '../images')"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "89aaba53",
"metadata": {},
"outputs": [],
"source": [
"assert len(os.listdir('../images')) > 0"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "1ba3d802",
"metadata": {},
"outputs": [],
"source": [
"rm -rf ../images"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6c38a641",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "conda_python3",
"language": "python",
"name": "conda_python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.14"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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