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# coding=utf-8
# Copyright 2023 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import unittest
from transformers import is_torch_available, load_tool
from .test_tools_common import ToolTesterMixin
if is_torch_available():
import torch
class SpeechToTextToolTester(unittest.TestCase, ToolTesterMixin):
def setUp(self):
self.tool = load_tool("speech-to-text")
self.tool.setup()
def test_exact_match_arg(self):
result = self.tool(torch.ones(3000))
self.assertEqual(result, " you")
def test_exact_match_kwarg(self):
result = self.tool(audio=torch.ones(3000))
self.assertEqual(result, " you")
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