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# Licensed under the Apache License, Version 2.0 (the "License");
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"""Testing suite for the PyTorch chameleon model."""

import tempfile
import unittest

from transformers import ChameleonProcessor, LlamaTokenizer
from transformers.testing_utils import get_tests_dir
from transformers.utils import is_vision_available

from ...test_processing_common import ProcessorTesterMixin


if is_vision_available():
    from transformers import ChameleonImageProcessor


SAMPLE_VOCAB = get_tests_dir("fixtures/test_sentencepiece.model")


class ChameleonProcessorTest(ProcessorTesterMixin, unittest.TestCase):
    processor_class = ChameleonProcessor

    def setUp(self):
        self.tmpdirname = tempfile.mkdtemp()
        image_processor = ChameleonImageProcessor()
        tokenizer = LlamaTokenizer(vocab_file=SAMPLE_VOCAB)
        tokenizer.pad_token_id = 0
        tokenizer.sep_token_id = 1
        processor = self.processor_class(image_processor=image_processor, tokenizer=tokenizer)
        processor.save_pretrained(self.tmpdirname)