import io

import os

try:

    import hypothesis

    import hypothesis.strategies as strategies

except ImportError:

    raise unittest.SkipTest('hypothesis not available')

from . common import (

    make_cffi,

    random_input_data,

)

@unittest.skipUnless('ZSTD_SLOW_TESTS' in os.environ, 'ZSTD_SLOW_TESTS not set')

@make_cffi

    @hypothesis.given(original=strategies.sampled_from(random_input_data()),

                        level=strategies.integers(min_value=1, max_value=5),

                        write_size=strategies.integers(min_value=1, max_value=1048576))

    def test_write_size_variance(self, original, level, write_size):

        refctx = zstd.ZstdCompressor(level=level)

        ref_frame = refctx.compress(original)

        cctx = zstd.ZstdCompressor(level=level)

        b = io.BytesIO()

            compressor.write(original)

        self.assertEqual(b.getvalue(), ref_frame)

@unittest.skipUnless('ZSTD_SLOW_TESTS' in os.environ, 'ZSTD_SLOW_TESTS not set')

@make_cffi

class TestCompressor_copy_stream_fuzzing(unittest.TestCase):

    @hypothesis.given(original=strategies.sampled_from(random_input_data()),

                      level=strategies.integers(min_value=1, max_value=5),

                      read_size=strategies.integers(min_value=1, max_value=1048576),

                      write_size=strategies.integers(min_value=1, max_value=1048576))

    def test_read_write_size_variance(self, original, level, read_size, write_size):

        refctx = zstd.ZstdCompressor(level=level)

        ref_frame = refctx.compress(original)

        cctx = zstd.ZstdCompressor(level=level)

        source = io.BytesIO(original)

        dest = io.BytesIO()

        cctx.copy_stream(source, dest, size=len(original), read_size=read_size,

                         write_size=write_size)

        self.assertEqual(dest.getvalue(), ref_frame)

@unittest.skipUnless('ZSTD_SLOW_TESTS' in os.environ, 'ZSTD_SLOW_TESTS not set')

@make_cffi

class TestCompressor_compressobj_fuzzing(unittest.TestCase):

    @hypothesis.given(original=strategies.sampled_from(random_input_data()),

                      level=strategies.integers(min_value=1, max_value=5),

    def test_random_input_sizes(self, original, level, chunk_sizes):

        refctx = zstd.ZstdCompressor(level=level)

        ref_frame = refctx.compress(original)

        cctx = zstd.ZstdCompressor(level=level)

        cobj = cctx.compressobj(size=len(original))

        chunks = []

        i = 0

        while True:

            source = original[i:i + chunk_size]

            if not source:

                break

            chunks.append(cobj.compress(source))

            i += chunk_size

        chunks.append(cobj.flush())

        self.assertEqual(b''.join(chunks), ref_frame)

@unittest.skipUnless('ZSTD_SLOW_TESTS' in os.environ, 'ZSTD_SLOW_TESTS not set')

@make_cffi

    @hypothesis.given(original=strategies.sampled_from(random_input_data()),

                      level=strategies.integers(min_value=1, max_value=5),

                      read_size=strategies.integers(min_value=1, max_value=4096),

                      write_size=strategies.integers(min_value=1, max_value=4096))

    def test_read_write_size_variance(self, original, level, read_size, write_size):

        refcctx = zstd.ZstdCompressor(level=level)

        ref_frame = refcctx.compress(original)

        source = io.BytesIO(original)

        cctx = zstd.ZstdCompressor(level=level)

        self.assertEqual(b''.join(chunks), ref_frame)

@unittest.skipUnless('ZSTD_SLOW_TESTS' in os.environ, 'ZSTD_SLOW_TESTS not set')

class TestCompressor_multi_compress_to_buffer_fuzzing(unittest.TestCase):

    @hypothesis.given(original=strategies.lists(strategies.sampled_from(random_input_data()),

                                                min_size=1, max_size=1024),

                        threads=strategies.integers(min_value=1, max_value=8),

                        use_dict=strategies.booleans())

    def test_data_equivalence(self, original, threads, use_dict):

        kwargs = {}

        # Use a content dictionary because it is cheap to create.

        if use_dict:

            kwargs['dict_data'] = zstd.ZstdCompressionDict(original[0])

        cctx = zstd.ZstdCompressor(level=1,

                                   write_checksum=True,

                                   **kwargs)

        result = cctx.multi_compress_to_buffer(original, threads=-1)

        self.assertEqual(len(result), len(original))

        # The frame produced via the batch APIs may not be bit identical to that

        # produced by compress() because compression parameters are adjusted

        # from the first input in batch mode. So the only thing we can do is

        # verify the decompressed data matches the input.

        dctx = zstd.ZstdDecompressor(**kwargs)

        for i, frame in enumerate(result):

            self.assertEqual(dctx.decompress(frame), original[i])