60 lines
No EOL
1.5 KiB
Python
60 lines
No EOL
1.5 KiB
Python
import sys
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use_ulab = False
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try:
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from ubinascii import a2b_base64 as b64encode
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from ubinascii import hexlify
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import ujson as json
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from ulab import numpy as np
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use_ulab = True
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except:
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from base64 import b64encode
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import json
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import numpy as np
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from numpy.lib.format import dtype_to_descr
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def ulab_dtype_to_descr(dtype):
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desc = '<'
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if sys.byteorder == 'little':
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desc = '>'
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if dtype == ord('B'):
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desc = desc + 'u1'
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elif dtype == ord('b'):
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desc = desc + 'i1'
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elif dtype == ord('H'):
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desc = desc + 'u2'
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elif dtype == ord('h'):
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desc = desc + 'i2'
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elif dtype == ord('d'):
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desc = desc + 'f8'
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elif dtype == ord('f'):
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desc = desc + 'f4'
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elif dtype == ord('c'):
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desc = desc + 'c16'
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if np.array([1], dtype=np.float).itemsize == 4:
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desc = desc + 'c8'
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return desc
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def ndarray_to_json(obj, b64=False):
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if not isinstance(obj, np.ndarray):
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raise TypeError('input argument must be an ndarray')
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if use_ulab:
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dtype_desciptor = ulab_dtype_to_descr(obj.dtype)
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else:
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dtype_desciptor = dtype_to_descr(obj.dtype)
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if not b64:
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data = hexlify(obj.tobytes())
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return json.dumps({'__numpy__': data, 'dtype': dtype_desciptor, 'shape': obj.shape})
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dtypes = (np.uint8, np.int8, np.uint16, np.int16, np.float)
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for dtype in dtypes:
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ndarray = np.array([1, 2, 3], dtype=dtype)
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print(ndarray_to_json(ndarray)) |