def test_nans_filled_failure(self):
fill_value = 1e+20
dtype = np.dtype('int16')
emsg = 'Fill value of .* invalid for array result .*'
with self.assertRaisesRegexp(ValueError, emsg):
convert_nans_array(self.array,
nans_replacement=fill_value,
result_dtype=dtype)
def test_nans_filled_failure(self):
fill_value = 1e+20
dtype = np.dtype('int16')
emsg = 'Fill value of .* invalid for array result .*'
with self.assertRaisesRegexp(ValueError, emsg):
convert_nans_array(self.array,
nans_replacement=fill_value,
result_dtype=dtype)
def test_nans_filled(self):
fill_value = 666.0
result = convert_nans_array(self.array, nans_replacement=fill_value)
self.assertNotIsInstance(result, ma.MaskedArray)
self.assertIs(result, self.array)
expected = np.array([[1.0, fill_value], [3.0, 4.0]])
self.assertArrayEqual(result, expected)
def test_nans_filled(self):
fill_value = 666.0
result = convert_nans_array(self.array,
nans_replacement=fill_value)
self.assertNotIsInstance(result, ma.MaskedArray)
self.assertIs(result, self.array)
expected = np.array([[1.0, fill_value],
[3.0, 4.0]])
self.assertArrayEqual(result, expected)
def test_result_dtype_cast_float_to_int(self):
dtype = np.int
result = convert_nans_array(self.array,
nans_replacement=ma.masked,
result_dtype=dtype)
self.assertIsInstance(result, ma.MaskedArray)
expected = ma.masked_array([[1, 2], [3, 4]], dtype=dtype)
expected[0, 1] = ma.masked
self.assertArrayEqual(result, expected)
self.assertIsNot(result, self.array)
def test_filled_result_dtype_cast_float_to_int(self):
fill_value = 666
dtype = np.int
result = convert_nans_array(self.array,
nans_replacement=fill_value,
result_dtype=dtype)
self.assertNotIsInstance(result, ma.MaskedArray)
expected = np.array([[1, fill_value], [3, 4]], dtype=dtype)
self.assertArrayEqual(result, expected)
self.assertIsNot(result, self.array)
def test_nans_masked(self):
result = convert_nans_array(self.array, nans_replacement=ma.masked)
self.assertIsInstance(result, ma.MaskedArray)
self.assertArrayEqual(result.mask, [[False, True], [False, False]])
dummy = 666.0
result[0, 1] = dummy
self.assertArrayEqual(result.data, [[1.0, dummy], [3.0, 4.0]])
self.assertIsNot(result, self.array)
# Check that fill value is the "standard" one for the type.
expected = ma.masked_array(self.array[0], dtype=self.array.dtype)
self.assertEqual(result.fill_value, expected.fill_value)
def test_result_dtype_cast_float_to_int(self):
dtype = np.int
result = convert_nans_array(self.array,
nans_replacement=ma.masked,
result_dtype=dtype)
self.assertIsInstance(result, ma.MaskedArray)
expected = ma.masked_array([[1, 2],
[3, 4]],
dtype=dtype)
expected[0, 1] = ma.masked
self.assertArrayEqual(result, expected)
self.assertIsNot(result, self.array)
def test_filled_result_dtype_cast_float_to_int(self):
fill_value = 666
dtype = np.int
result = convert_nans_array(self.array,
nans_replacement=fill_value,
result_dtype=dtype)
self.assertNotIsInstance(result, ma.MaskedArray)
expected = np.array([[1, fill_value],
[3, 4]],
dtype=dtype)
self.assertArrayEqual(result, expected)
self.assertIsNot(result, self.array)
def __init__(self, grib_message, grib_fh=None):
"""Store the grib message and compute our extra keys."""
self.grib_message = grib_message
self.realised_dtype = np.array([0.]).dtype
if self.edition != 1:
emsg = 'GRIB edition {} is not supported by {!r}.'
raise TranslationError(
emsg.format(self.edition,
type(self).__name__))
deferred = grib_fh is not None
# Store the file pointer and message length from the current
# grib message before it's changed by calls to the grib-api.
if deferred:
# Note that, the grib-api has already read this message and
# advanced the file pointer to the end of the message.
offset = grib_fh.tell()
message_length = gribapi.grib_get_long(grib_message, 'totalLength')
# Initialise the key-extension dictionary.
# NOTE: this attribute *must* exist, or the the __getattr__ overload
# can hit an infinite loop.
self.extra_keys = {}
self._confirm_in_scope()
self._compute_extra_keys()
# Calculate the data payload shape.
shape = (gribapi.grib_get_long(grib_message, 'numberOfValues'), )
if not self.gridType.startswith('reduced'):
ni, nj = self.Ni, self.Nj
j_fast = gribapi.grib_get_long(grib_message,
'jPointsAreConsecutive')
shape = (nj, ni) if j_fast == 0 else (ni, nj)
if deferred:
# Wrap the reference to the data payload within the data proxy
# in order to support deferred data loading.
# The byte offset requires to be reset back to the first byte
# of this message. The file pointer offset is always at the end
# of the current message due to the grib-api reading the message.
proxy = GribDataProxy(shape, self.realised_dtype, grib_fh.name,
offset - message_length)
self._data = as_lazy_data(proxy)
else:
values_array = _message_values(grib_message, shape)
# mask where the values are nan
self.data = convert_nans_array(values_array,
nans_replacement=ma.masked)
def __init__(self, grib_message, grib_fh=None):
"""Store the grib message and compute our extra keys."""
self.grib_message = grib_message
self.realised_dtype = np.array([0.]).dtype
if self.edition != 1:
emsg = 'GRIB edition {} is not supported by {!r}.'
raise TranslationError(emsg.format(self.edition,
type(self).__name__))
deferred = grib_fh is not None
# Store the file pointer and message length from the current
# grib message before it's changed by calls to the grib-api.
if deferred:
# Note that, the grib-api has already read this message and
# advanced the file pointer to the end of the message.
offset = grib_fh.tell()
message_length = gribapi.grib_get_long(grib_message, 'totalLength')
# Initialise the key-extension dictionary.
# NOTE: this attribute *must* exist, or the the __getattr__ overload
# can hit an infinite loop.
self.extra_keys = {}
self._confirm_in_scope()
self._compute_extra_keys()
# Calculate the data payload shape.
shape = (gribapi.grib_get_long(grib_message, 'numberOfValues'),)
if not self.gridType.startswith('reduced'):
ni, nj = self.Ni, self.Nj
j_fast = gribapi.grib_get_long(grib_message,
'jPointsAreConsecutive')
shape = (nj, ni) if j_fast == 0 else (ni, nj)
if deferred:
# Wrap the reference to the data payload within the data proxy
# in order to support deferred data loading.
# The byte offset requires to be reset back to the first byte
# of this message. The file pointer offset is always at the end
# of the current message due to the grib-api reading the message.
proxy = GribDataProxy(shape, self.realised_dtype, grib_fh.name,
offset - message_length)
self._data = as_lazy_data(proxy)
else:
values_array = _message_values(grib_message, shape)
# mask where the values are nan
self.data = convert_nans_array(values_array,
nans_replacement=ma.masked)
def test_nans_masked(self):
result = convert_nans_array(self.array,
nans_replacement=ma.masked)
self.assertIsInstance(result, ma.MaskedArray)
self.assertArrayEqual(result.mask, [[False, True],
[False, False]])
dummy = 666.0
result[0, 1] = dummy
self.assertArrayEqual(result.data, [[1.0, dummy],
[3.0, 4.0]])
self.assertIsNot(result, self.array)
# Check that fill value is the "standard" one for the type.
expected = ma.masked_array(self.array[0], dtype=self.array.dtype)
self.assertEqual(result.fill_value, expected.fill_value)
def test_nans_none_failure(self):
emsg = 'Array contains unexpected NaNs'
with self.assertRaisesRegexp(ValueError, emsg):
convert_nans_array(self.array)
def test_pass_thru_masked_array_float(self):
array = ma.arange(10, dtype=np.float)
result = convert_nans_array(array)
self.assertIsInstance(result, ma.MaskedArray)
self.assertIs(result, array)
def test_pass_thru_array_integer(self):
array = np.arange(10)
result = convert_nans_array(array)
self.assertNotIsInstance(result, ma.MaskedArray)
self.assertIs(result, array)
def test_no_nans(self):
array = np.array([[1.0, 2.0],
[3.0, 4.0]])
result = convert_nans_array(array)
self.assertNotIsInstance(result, ma.MaskedArray)
self.assertIs(result, array)
def test_pass_thru_array_integer(self):
array = np.arange(10)
result = convert_nans_array(array)
self.assertNotIsInstance(result, ma.MaskedArray)
self.assertIs(result, array)
def test_pass_thru_masked_array_float(self):
array = ma.arange(10, dtype=np.float)
result = convert_nans_array(array)
self.assertIsInstance(result, ma.MaskedArray)
self.assertIs(result, array)
def test_no_nans(self):
array = np.array([[1.0, 2.0], [3.0, 4.0]])
result = convert_nans_array(array)
self.assertNotIsInstance(result, ma.MaskedArray)
self.assertIs(result, array)
def test_nans_none_failure(self):
emsg = 'Array contains unexpected NaNs'
with self.assertRaisesRegexp(ValueError, emsg):
convert_nans_array(self.array)
