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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"data_path = \".\"\n",
"import os\n",
"import sys"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"def file_exists_and_not_empty(filepath):\n",
" return os.path.isfile(filepath) and os.path.getsize(filepath) > 0\n",
"\n",
"def check_example_complement(example_path):\n",
" input_path = example_path + \"/input\"\n",
" output_path = example_path + \"/output\"\n",
" config_path = example_path + \"/env_config\"\n",
" if not os.path.exists(input_path) or not os.path.exists(output_path) or not os.path.exists(config_path):\n",
" return False\n",
" input_pic_file = input_path + \"/input.png\"\n",
" input_pic_gt_file = input_path + \"/input_mask.png\"\n",
" input_instruction = input_path + \"/instruction.txt\"\n",
" output_json = output_path + \"/operation_sequence.json\"\n",
" config_json = config_path + \"/env_config.json\"\n",
" if not file_exists_and_not_empty(input_pic_file) or not file_exists_and_not_empty(input_instruction) or not file_exists_and_not_empty(output_json) or not file_exists_and_not_empty(input_pic_gt_file) or not file_exists_and_not_empty(config_json):\n",
" return False\n",
" return True"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"All examples are complete!\n",
"Number of examples: 4500\n"
]
}
],
"source": [
"error_example_list = {}\n",
"number_of_exapmles = 0\n",
"\n",
"dim_list = os.listdir(data_path)\n",
"for dim in dim_list:\n",
" if dim == \"data_complement_check.ipynb\":\n",
" continue\n",
" for task in os.listdir(data_path + \"/\" + dim):\n",
" exapmle_list = os.listdir(data_path + \"/\" + dim + \"/\" + task)\n",
" for example in exapmle_list:\n",
" if not check_example_complement(data_path + \"/\" + dim+ \"/\" + task + \"/\" + example):\n",
" if task not in error_example_list:\n",
" error_example_list[task] = []\n",
" error_example_list[task].append(example)\n",
" else:\n",
" number_of_exapmles += 1\n",
"\n",
"if len(error_example_list) == 0:\n",
" print(\"All examples are complete!\")\n",
" print(\"Number of examples: \" + str(number_of_exapmles))\n",
"else:\n",
" print(\"Number of Normal examples: \" + str(number_of_exapmles))\n",
" print(\"Some examples are incomplete!\")\n",
" for task in error_example_list:\n",
" print(\"Task: \" + task)\n",
" for example in error_example_list[task]:\n",
" print(\"Example: \" + example)\n",
"\n"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "LM4",
"language": "python",
"name": "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": "3.9.19"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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