forked from p04798526/LLaMA-Factory-Mirror
lint
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commit
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@ -1,6 +1,6 @@
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import json
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import os
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from typing import TYPE_CHECKING, Dict, Tuple
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from typing import TYPE_CHECKING, Any, Dict, List, Tuple
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import gradio as gr
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@ -32,39 +32,36 @@ def can_preview(dataset_dir: str, dataset: list) -> "gr.Button":
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if len(dataset) == 0 or "file_name" not in dataset_info[dataset[0]]:
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return gr.Button(interactive=False)
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local_path = os.path.join(dataset_dir, dataset_info[dataset[0]]["file_name"])
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if (os.path.isfile(local_path)
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or (os.path.isdir(local_path) and len(os.listdir(local_path)) != 0)):
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data_path = os.path.join(dataset_dir, dataset_info[dataset[0]]["file_name"])
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if os.path.isfile(data_path) or (os.path.isdir(data_path) and os.listdir(data_path)):
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return gr.Button(interactive=True)
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else:
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return gr.Button(interactive=False)
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def load_single_data(data_file_path):
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with open(os.path.join(data_file_path), "r", encoding="utf-8") as f:
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if data_file_path.endswith(".json"):
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data = json.load(f)
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elif data_file_path.endswith(".jsonl"):
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data = [json.loads(line) for line in f]
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def _load_data_file(file_path: str) -> List[Any]:
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with open(file_path, "r", encoding="utf-8") as f:
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if file_path.endswith(".json"):
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return json.load(f)
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elif file_path.endswith(".jsonl"):
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return [json.loads(line) for line in f]
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else:
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data = [line for line in f] # noqa: C416
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return data
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return list(f)
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def get_preview(dataset_dir: str, dataset: list, page_index: int) -> Tuple[int, list, "gr.Column"]:
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with open(os.path.join(dataset_dir, DATA_CONFIG), "r", encoding="utf-8") as f:
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dataset_info = json.load(f)
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data_file: str = dataset_info[dataset[0]]["file_name"]
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local_path = os.path.join(dataset_dir, data_file)
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if os.path.isdir(local_path):
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data = []
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for file_name in os.listdir(local_path):
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data.extend(load_single_data(os.path.join(local_path, file_name)))
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data_path = os.path.join(dataset_dir, dataset_info[dataset[0]]["file_name"])
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if os.path.isfile(data_path):
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data = _load_data_file(data_path)
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else:
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data = load_single_data(local_path)
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data = []
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for file_name in os.listdir(data_path):
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data.extend(_load_data_file(os.path.join(data_path, file_name)))
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return len(data), data[PAGE_SIZE * page_index: PAGE_SIZE * (page_index + 1)], gr.Column(visible=True)
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return len(data), data[PAGE_SIZE * page_index : PAGE_SIZE * (page_index + 1)], gr.Column(visible=True)
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def create_preview_box(dataset_dir: "gr.Textbox", dataset: "gr.Dropdown") -> Dict[str, "Component"]:
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