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| import numpy as np | |
| from sys import byteorder | |
| _utf32 = 'utf-32-le' if byteorder == 'little' else 'utf-32-be' | |
| _braille_char_base = 0x2800 # U+2800 BRAILLE PATTERN BLANK | |
| _braille_matrix = np.array([ | |
| [0x01, 0x08], | |
| [0x02, 0x10], | |
| [0x04, 0x20], | |
| [0x40, 0x80], | |
| ], dtype=np.uint32) | |
| def to_braille(bitmap: np.ndarray, threshold: float=128) -> list[str]: | |
| """ | |
| Converts a bitmap into Braille characters. Returns a list of lines. | |
| `bitmap` should be a 2D Numpy array of bools or numbers. | |
| `True` values or numeric values >= `threshold` are shown as dots. | |
| """ | |
| if bitmap.dtype != np.bool_: | |
| bitmap = bitmap >= threshold | |
| h, w = bitmap.shape | |
| if h % 4 != 0 or w % 2 != 0: | |
| bitmap = np.pad(bitmap, ((0, (4 - h) % 4), (0, w % 2))) | |
| h, w = bitmap.shape | |
| # split the bitmap into 4-row chunks and each row into 2-pixel chunks: | |
| chunks = np.reshape(bitmap, (h // 4, 4, w // 2, 2)) | |
| # multiply every 4×2 chunk by `_braille_matrix` using scalar multiplication: | |
| braille_char_numbers = np.tensordot(chunks, _braille_matrix, axes=((1, 3), (0, 1))) | |
| utf32_codepoints = (_braille_char_base + braille_char_numbers).astype(np.uint32) | |
| return [line.tobytes().decode(_utf32) for line in utf32_codepoints] | |
| _format_normal = '\033[0m' | |
| _format_bold = '\033[1m' | |
| def print_braille(bitmap: np.ndarray, threshold: float=128, bold: bool=True) -> None: | |
| joined_lines = '\n'.join(to_braille(bitmap, threshold)) | |
| if bold: | |
| print(_format_bold + joined_lines + _format_normal) | |
| else: | |
| print(joined_lines) | |
| if __name__ == '__main__': | |
| r = 25 | |
| def f(x: float, y: float) -> float: | |
| return ((x - r)**2 + (y - r)**2) % 200 | |
| bitmap = np.fromfunction(f, (2 * r, 2 * r)) | |
| print_braille(bitmap, threshold=100, bold=False) | |
| print() | |
| print_braille(bitmap, threshold=100, bold=True) |
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