Esempio n. 1
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 def testCreateCompoundType(self):
     typeItem = {
         'class':
         'H5T_COMPOUND',
         'fields': [{
             'name': 'temp',
             'type': 'H5T_IEEE_F32LE'
         }, {
             'name': 'pressure',
             'type': 'H5T_IEEE_F32LE'
         }, {
             'name': 'location',
             'type': {
                 'length': 'H5T_VARIABLE',
                 'charSet': 'H5T_CSET_ASCII',
                 'class': 'H5T_STRING',
                 'strPad': 'H5T_STR_NULLTERM'
             }
         }, {
             'name': 'wind',
             'type': 'H5T_STD_I16LE'
         }]
     }
     typeSize = hdf5dtype.getItemSize(typeItem)
     dt = hdf5dtype.createDataType(typeItem)
     self.assertEqual(dt.name, 'void144')
     self.assertEqual(dt.kind, 'V')
     self.assertEqual(len(dt.fields), 4)
     dtLocation = dt[2]
     self.assertEqual(dtLocation.name, 'object')
     self.assertEqual(dtLocation.kind, 'O')
     self.assertEqual(check_dtype(vlen=dtLocation), bytes)
     self.assertEqual(typeSize, 'H5T_VARIABLE')
Esempio n. 2
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    def testCreateEnumType(self):
        typeItem = {
            "class": "H5T_ENUM",
            "base": {
                "base": "H5T_STD_I16LE",
                "class": "H5T_INTEGER"
            },
            "mapping": {
                "GAS": 2,
                "LIQUID": 1,
                "PLASMA": 3,
                "SOLID": 0
            }
        }

        typeSize = hdf5dtype.getItemSize(typeItem)
        self.assertEqual(typeSize, 2)
        dt = hdf5dtype.createDataType(typeItem)
        self.assertEqual(dt.name, 'int16')
        self.assertEqual(dt.kind, 'i')
        mapping = check_dtype(enum=dt)
        self.assertTrue(isinstance(mapping, dict))
        self.assertEqual(mapping["SOLID"], 0)
        self.assertEqual(mapping["LIQUID"], 1)
        self.assertEqual(mapping["GAS"], 2)
        self.assertEqual(mapping["PLASMA"], 3)
Esempio n. 3
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 def testCreateVLenUTF8Type(self):
     typeItem = {
         'class': 'H5T_STRING',
         'charSet': 'H5T_CSET_UTF8',
         'length': 'H5T_VARIABLE'
     }
     typeSize = hdf5dtype.getItemSize(typeItem)
     dt = hdf5dtype.createDataType(typeItem)
     self.assertEqual(dt.name, 'object')
     self.assertEqual(dt.kind, 'O')
     self.assertEqual(check_dtype(vlen=dt), str)
     self.assertEqual(typeSize, 'H5T_VARIABLE')
Esempio n. 4
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 def testCompoundArrayType(self):
     typeItem = {
         "class":
         "H5T_COMPOUND",
         "fields": [{
             "type": {
                 "class": "H5T_INTEGER",
                 "base": "H5T_STD_U64BE"
             },
             "name": "VALUE1"
         }, {
             "type": {
                 "class": "H5T_FLOAT",
                 "base": "H5T_IEEE_F64BE"
             },
             "name": "VALUE2"
         }, {
             "type": {
                 "class": "H5T_ARRAY",
                 "dims": [2],
                 "base": {
                     "class": "H5T_STRING",
                     "charSet": "H5T_CSET_ASCII",
                     "strPad": "H5T_STR_NULLTERM",
                     "length": "H5T_VARIABLE"
                 }
             },
             "name": "VALUE3"
         }]
     }
     dt = hdf5dtype.createDataType(typeItem)
     typeSize = hdf5dtype.getItemSize(typeItem)
     self.assertEqual(typeSize, 'H5T_VARIABLE')
     self.assertEqual(len(dt), 3)
     self.assertTrue("VALUE1" in dt.fields.keys())
     self.assertTrue("VALUE2" in dt.fields.keys())
     self.assertTrue("VALUE3" in dt.fields.keys())
     dt3 = dt["VALUE3"]
     self.assertEqual(check_dtype(vlen=dt3), bytes)
Esempio n. 5
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    def testJsonToArray(self):
        dt = np.dtype('i4')
        shape = [
            4,
        ]
        data = [0, 2, 4, 6]
        out = jsonToArray(shape, dt, data)

        self.assertTrue(isinstance(out, np.ndarray))
        self.assertEqual(out.shape, (4, ))
        for i in range(4):
            self.assertEqual(out[i], i * 2)

        # compound type
        dt = np.dtype([('a', 'i4'), ('b', 'S5')])
        shape = [
            2,
        ]
        data = [[4, 'four'], [5, 'five']]
        out = jsonToArray(shape, dt, data)
        self.assertTrue(isinstance(out, np.ndarray))

        self.assertEqual(out.shape, (2, ))
        self.assertTrue(isinstance(out[0], np.void))
        e0 = out[0].tolist()
        self.assertEqual(e0, (4, b'four'))
        self.assertTrue(isinstance(out[1], np.void))
        e1 = out[1].tolist()
        self.assertEqual(e1, (5, b'five'))

        shape = [
            1,
        ]
        data = [
            [6, 'six'],
        ]
        out = jsonToArray(shape, dt, data)
        e0 = out[0].tolist()
        self.assertEqual(e0, (6, b'six'))

        data = [6, 'six']
        out = jsonToArray(shape, dt, data)
        e0 = out[0].tolist()
        self.assertEqual(e0, (6, b'six'))

        # VLEN ascii
        dt = special_dtype(vlen=bytes)
        data = [b"one", b"two", b"three", "four", b"five"]
        shape = [
            5,
        ]
        out = jsonToArray(shape, dt, data)
        self.assertTrue("vlen" in out.dtype.metadata)
        self.assertEqual(out.dtype.metadata["vlen"], bytes)
        self.assertEqual(out.dtype.kind, 'O')
        self.assertEqual(out.shape, (5, ))
        # TBD: code does not actually enforce use of bytes vs. str,
        #  probably not worth the effort to fix
        self.assertEqual(out[2], b"three")
        self.assertEqual(out[3], "four")

        # VLEN str
        dt = special_dtype(vlen=str)
        data = [['part 1 - section A', 'part 1 - section B'],
                ['part 2 - section A', 'part 2 - section B']]
        shape = [
            2,
        ]
        out = jsonToArray(shape, dt, data)
        self.assertTrue("vlen" in out.dtype.metadata)
        self.assertEqual(out.dtype.metadata["vlen"], str)
        self.assertEqual(out.dtype.kind, 'O')
        self.assertEqual(out.shape, (2, ))
        self.assertEqual(out[0], tuple(data[0]))
        self.assertEqual(out[1], tuple(data[1]))

        # VLEN Scalar str
        dt = special_dtype(vlen=str)
        data = "I'm a string!"
        shape = [
            1,
        ]
        out = jsonToArray(shape, dt, data)

        # VLEN unicode
        dt = special_dtype(vlen=bytes)
        data = ["one", "two", "three", "four", "five"]
        shape = [
            5,
        ]
        out = jsonToArray(shape, dt, data)
        self.assertTrue("vlen" in out.dtype.metadata)
        self.assertEqual(out.dtype.metadata["vlen"], bytes)
        self.assertEqual(out.dtype.kind, 'O')
        # TBD: this should show up as bytes, but may not be worth the effort
        self.assertEqual(out[2], "three")

        # VLEN data
        dt = special_dtype(vlen=np.dtype('int32'))
        shape = [
            4,
        ]
        data = [[
            1,
        ], [1, 2], [1, 2, 3], [1, 2, 3, 4]]
        out = jsonToArray(shape, dt, data)
        self.assertTrue(isinstance(out, np.ndarray))
        self.assertEqual(check_dtype(vlen=out.dtype), np.dtype('int32'))

        self.assertEqual(out.shape, (4, ))
        self.assertEqual(out.dtype.kind, 'O')
        self.assertEqual(check_dtype(vlen=out.dtype), np.dtype('int32'))
        for i in range(4):
            e = out[i]  #.tolist()
            self.assertTrue(isinstance(e, tuple))
            self.assertEqual(e, tuple(range(1, i + 2)))

        # VLEN 2D data
        dt = special_dtype(vlen=np.dtype('int32'))
        shape = [2, 2]
        data = [[[
            0,
        ], [1, 2]], [[
            1,
        ], [2, 3]]]
        out = jsonToArray(shape, dt, data)
        self.assertTrue(isinstance(out, np.ndarray))
        self.assertEqual(check_dtype(vlen=out.dtype), np.dtype('int32'))

        self.assertEqual(out.shape, (2, 2))
        self.assertEqual(out.dtype.kind, 'O')
        self.assertEqual(check_dtype(vlen=out.dtype), np.dtype('int32'))
        for i in range(2):
            for j in range(2):
                e = out[i, j]  #.tolist()
                self.assertTrue(isinstance(e, tuple))

        # create VLEN of obj ref's
        ref_type = {"class": "H5T_REFERENCE", "base": "H5T_STD_REF_OBJ"}
        vlen_type = {"class": "H5T_VLEN", "base": ref_type}
        dt = createDataType(vlen_type)  # np datatype

        id0 = 'g-a4f455b2-c8cf-11e7-8b73-0242ac110009'
        id1 = 'g-a50af844-c8cf-11e7-8b73-0242ac110009'
        id2 = 'g-a5236276-c8cf-11e7-8b73-0242ac110009'

        data = [[
            id0,
        ], [id0, id1], [id0, id1, id2]]
        shape = [
            3,
        ]
        out = jsonToArray(shape, dt, data)
        self.assertTrue(isinstance(out, np.ndarray))
        base_type = check_dtype(vlen=out.dtype)
        self.assertEqual(base_type.kind, 'S')
        self.assertEqual(base_type.itemsize, 48)

        self.assertEqual(out.shape, (3, ))
        self.assertEqual(out.dtype.kind, 'O')
        self.assertEqual(check_dtype(vlen=out.dtype), np.dtype('S48'))

        e = out[0]
        self.assertTrue(isinstance(e, tuple))
        self.assertEqual(e, (id0, ))
        e = out[1]
        self.assertTrue(isinstance(e, tuple))
        self.assertEqual(e, (id0, id1))
        e = out[2]
        self.assertTrue(isinstance(e, tuple))
        self.assertEqual(e, (id0, id1, id2))
Esempio n. 6
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    def testJsonToBytes(self):
        #
        # VLEN int
        #
        dt = special_dtype(vlen=np.dtype('int32'))
        shape = [
            4,
        ]
        data = [[
            1,
        ], [1, 2], [1, 2, 3], [1, 2, 3, 4]]
        arr = jsonToArray(shape, dt, data)
        self.assertTrue(isinstance(arr, np.ndarray))
        self.assertEqual(check_dtype(vlen=arr.dtype), np.dtype('int32'))
        buffer = arrayToBytes(arr)
        self.assertEqual(len(buffer), 56)
        expected = b'\x04\x00\x00\x00\x01\x00\x00\x00\x08\x00\x00\x00\x01\x00\x00\x00\x02\x00\x00\x00\x0c\x00\x00\x00\x01\x00\x00\x00\x02\x00\x00\x00\x03\x00\x00\x00\x10\x00\x00\x00\x01\x00\x00\x00\x02\x00\x00\x00\x03\x00\x00\x00\x04\x00\x00\x00'
        self.assertEqual(buffer, expected)

        # convert back to array
        arr_copy = bytesToArray(buffer, dt, (4, ))
        # np.array_equal doesn't work for object arrays
        self.assertEqual(arr.dtype, arr_copy.dtype)
        self.assertEqual(arr.shape, arr_copy.shape)
        for i in range(4):
            e = arr[i]
            e_copy = arr_copy[i]
            self.assertTrue(np.array_equal(e, e_copy))
        #
        # Compound vlen
        #
        dt_str = np.dtype('O', metadata={'vlen': str})
        dt = np.dtype([('x', 'i4'), ('tag', dt_str)])
        shape = [
            4,
        ]
        data = [[42, "Hello"], [0, 0], [0, 0], [84, "Bye"]]
        arr = jsonToArray(shape, dt, data)
        self.assertTrue(isinstance(arr, np.ndarray))
        buffer = arrayToBytes(arr)
        self.assertEqual(len(buffer), 40)
        expected = b'*\x00\x00\x00\x05\x00\x00\x00Hello\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00T\x00\x00\x00\x03\x00\x00\x00Bye'
        self.assertEqual(buffer, expected)

        # convert back to array
        arr_copy = bytesToArray(buffer, dt, (4, ))
        # np.array_equal doesn't work for object arrays
        self.assertEqual(arr.dtype, arr_copy.dtype)
        self.assertEqual(arr.shape, arr_copy.shape)
        for i in range(4):
            e = arr[i]
            e_copy = arr_copy[i]
            self.assertTrue(np.array_equal(e, e_copy))

        #
        # VLEN utf with array type
        #
        dt_arr_str = np.dtype('(2,)O', metadata={'vlen': str})
        dt = np.dtype([('x', 'i4'), ('tag', dt_arr_str)])
        shape = [
            4,
        ]
        data = [[42, ["hi", "bye"]], [0, [0, 0]], [0, [0, 0]],
                [84, ["hi-hi", "bye-bye"]]]
        arr = jsonToArray(shape, dt, data)
        self.assertTrue(isinstance(arr, np.ndarray))
        buffer = arrayToBytes(arr)
        self.assertEqual(len(buffer), 81)
        self.assertEqual(buffer.find(b"hi"), 8)
        self.assertEqual(buffer.find(b"bye"), 14)
        self.assertEqual(buffer.find(b"hi-hi"), 49)
        self.assertEqual(buffer.find(b"bye-bye"), 58)
        arr_copy = bytesToArray(buffer, dt, (4, ))

        self.assertEqual(arr.dtype, arr_copy.dtype)
        self.assertEqual(arr.shape, arr_copy.shape)
        for i in range(4):
            e = arr[i]
            e_copy = arr_copy[i]
            self.assertTrue(np.array_equal(e, e_copy))

        #
        # VLEN ascii with array type
        #
        dt_arr_str = np.dtype('(2,)O', metadata={'vlen': bytes})
        dt = np.dtype([('x', 'i4'), ('tag', dt_arr_str)])
        shape = [
            4,
        ]
        data = [[42, [b"hi", b"bye"]], [0, [0, 0]], [0, [0, 0]],
                [84, [b"hi-hi", b"bye-bye"]]]
        arr = jsonToArray(shape, dt, data)
        self.assertTrue(isinstance(arr, np.ndarray))
        buffer = arrayToBytes(arr)
        self.assertEqual(len(buffer), 81)
        self.assertEqual(buffer.find(b"hi"), 8)
        self.assertEqual(buffer.find(b"bye"), 14)
        self.assertEqual(buffer.find(b"hi-hi"), 49)
        self.assertEqual(buffer.find(b"bye-bye"), 58)
        arr_copy = bytesToArray(buffer, dt, (4, ))

        self.assertEqual(arr.dtype, arr_copy.dtype)
        self.assertEqual(arr.shape, arr_copy.shape)
        for i in range(4):
            e = arr[i]
            e_copy = arr_copy[i]
            self.assertTrue(np.array_equal(e, e_copy))