Variable renaming. #130
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6ee48e3f91
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1 changed files with 12 additions and 14 deletions
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@ -1922,13 +1922,11 @@ class PaletteBox(Jp2kBox):
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-------
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PaletteBox instance
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"""
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num_bytes = offset + length - fptr.tell()
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read_buffer = fptr.read(num_bytes)
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(nrows, ncols) = struct.unpack_from('>HB', read_buffer, offset=0)
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read_buffer = fptr.read(3)
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(nrows, ncols) = struct.unpack('>HB', read_buffer)
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# Need to determine bps and signed or not
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read_buffer = fptr.read(num_columns)
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bps_signed = struct.unpack('>' + 'B' * num_columns, read_buffer)
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read_buffer = fptr.read(ncols)
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bps_signed = struct.unpack('>' + 'B' * ncols, read_buffer)
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bps = [((x & 0x7f) + 1) for x in bps_signed]
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signed = [((x & 0x80) > 1) for x in bps_signed]
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@ -1936,18 +1934,18 @@ class PaletteBox(Jp2kBox):
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# Ok the palette has the same datatype for all columns. We should
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# be able to efficiently read it.
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if bps[0] <= 8:
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nbytes_per_row = num_columns
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nbytes_per_row = ncols
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dtype = np.uint8
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elif bps[0] <= 16:
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nbytes_per_row = 2 * num_columns
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nbytes_per_row = 2 * ncols
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dtype = np.uint16
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elif bps[0] <= 32:
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nbytes_per_row = 3 * num_columns
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nbytes_per_row = 3 * ncols
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dtype = np.uint32
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read_buffer = fptr.read(num_entries * nbytes_per_row)
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read_buffer = fptr.read(nrows * nbytes_per_row)
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palette = np.frombuffer(read_buffer, dtype=dtype)
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palette = np.reshape(palette, (num_entries, num_columns))
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palette = np.reshape(palette, (nrows, ncols))
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else:
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# General case where the columns may not be the same width.
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@ -1964,9 +1962,9 @@ class PaletteBox(Jp2kBox):
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# That means a list comprehension does this in one shot.
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row_nbytes = sum([int(math.ceil(x/8.0)) for x in bps])
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read_buffer = fptr.read(num_entries * row_nbytes)
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palette = np.zeros((num_entries, num_columns), dtype=np.int32)
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for j in range(num_entries):
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read_buffer = fptr.read(nrows * row_nbytes)
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palette = np.zeros((nrows, ncols), dtype=np.int32)
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for j in range(nrows):
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palette[j] = struct.unpack_from(fmt, read_buffer,
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offset=j * row_nbytes)
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