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* Licenses * Licenses
79 lines
2.9 KiB
Python
79 lines
2.9 KiB
Python
# Copyright 2025 The HuggingFace Team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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import tempfile
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import unittest
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from unittest.mock import patch
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import transformers.commands.transformers_cli as cli
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from transformers.commands.chat import ChatArguments, ChatCommand
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from transformers.testing_utils import CaptureStd
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class ChatCLITest(unittest.TestCase):
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def test_help(self):
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with patch("sys.argv", ["transformers", "chat", "--help"]), CaptureStd() as cs:
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with self.assertRaises(SystemExit):
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cli.main()
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self.assertIn("chat interface", cs.out.lower())
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@patch.object(ChatCommand, "run")
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def test_cli_dispatch(self, run_mock):
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args = ["transformers", "chat", "hf-internal-testing/tiny-random-gpt2"]
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with patch("sys.argv", args):
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cli.main()
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run_mock.assert_called_once()
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def test_parsed_args(self):
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with (
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patch.object(ChatCommand, "__init__", return_value=None) as init_mock,
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patch.object(ChatCommand, "run") as run_mock,
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patch(
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"sys.argv",
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[
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"transformers",
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"chat",
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"test-model",
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"max_new_tokens=64",
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],
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),
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):
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cli.main()
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init_mock.assert_called_once()
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run_mock.assert_called_once()
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parsed_args = init_mock.call_args[0][0]
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self.assertEqual(parsed_args.model_name_or_path_or_address, "test-model")
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self.assertEqual(parsed_args.generate_flags, ["max_new_tokens=64"])
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class ChatUtilitiesTest(unittest.TestCase):
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def test_save_and_clear_chat(self):
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tmp_path = tempfile.mkdtemp()
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args = ChatArguments(save_folder=str(tmp_path))
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args.model_name_or_path_or_address = "test-model"
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chat_history = [{"role": "user", "content": "hi"}]
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filename = ChatCommand.save_chat(chat_history, args)
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self.assertTrue(os.path.isfile(filename))
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cleared = ChatCommand.clear_chat_history()
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self.assertEqual(cleared, [])
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def test_parse_generate_flags(self):
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dummy = ChatCommand.__new__(ChatCommand)
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parsed = ChatCommand.parse_generate_flags(dummy, ["temperature=0.5", "max_new_tokens=10"])
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self.assertEqual(parsed["temperature"], 0.5)
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self.assertEqual(parsed["max_new_tokens"], 10)
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