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chore: import upstream snapshot with attribution
2026-07-13 11:57:37 +08:00

38 lines
1.0 KiB
Python

import unittest
import pytest
from transformers.testing_utils import (
require_tokenizers,
require_vision,
)
from transformers.utils import is_vision_available
from ...test_processing_common import ProcessorTesterMixin
if is_vision_available():
from transformers import TrOCRProcessor
@require_tokenizers
@require_vision
class TrOCRProcessorTest(ProcessorTesterMixin, unittest.TestCase):
text_input_name = "labels"
processor_class = TrOCRProcessor
# Tiny processor created with make_tiny_processor.py from "microsoft/trocr-base-handwritten"
tiny_model_id = "hf-internal-testing/tiny-processor-trocr"
def test_processor_text(self):
processor = self.get_processor()
input_str = "lower newer"
image_input = self.prepare_image_inputs()
inputs = processor(text=input_str, images=image_input)
self.assertListEqual(list(inputs.keys()), ["pixel_values", "labels"])
# test if it raises when no input is passed
with pytest.raises(ValueError):
processor()