def testCompoundTypeItem(self):
dt = np.dtype([("temp", np.float32), ("pressure", np.float32),
("wind", np.int16)])
typeItem = hdf5dtype.getTypeItem(dt)
typeSize = hdf5dtype.getItemSize(typeItem)
self.assertEqual(typeItem['class'], 'H5T_COMPOUND')
self.assertTrue('fields' in typeItem)
fields = typeItem['fields']
self.assertEqual(len(fields), 3)
tempField = fields[0]
self.assertEqual(tempField['name'], 'temp')
self.assertTrue('type' in tempField)
tempFieldType = tempField['type']
self.assertEqual(tempFieldType['class'], 'H5T_FLOAT')
self.assertEqual(tempFieldType['base'], 'H5T_IEEE_F32LE')
self.assertEqual(typeSize, 10)
typeItem = hdf5dtype.getTypeResponse(typeItem) # non-verbose format
typeSize = hdf5dtype.getItemSize(typeItem)
self.assertEqual(typeItem['class'], 'H5T_COMPOUND')
self.assertTrue('fields' in typeItem)
fields = typeItem['fields']
self.assertEqual(len(fields), 3)
tempField = fields[0]
self.assertEqual(tempField['name'], 'temp')
self.assertTrue('type' in tempField)
tempFieldType = tempField['type']
self.assertEqual(tempFieldType['class'], 'H5T_FLOAT')
self.assertEqual(tempFieldType['base'], 'H5T_IEEE_F32LE')
self.assertEqual(typeSize, 10)
def testCompoundTypeItem(self):
dt = np.dtype([("temp", np.float32), ("pressure", np.float32), ("wind", np.int16)])
typeItem = hdf5dtype.getTypeItem(dt)
self.assertEqual(typeItem["class"], "H5T_COMPOUND")
self.assertTrue("fields" in typeItem)
fields = typeItem["fields"]
self.assertEqual(len(fields), 3)
tempField = fields[0]
self.assertEqual(tempField["name"], "temp")
self.assertTrue("type" in tempField)
tempFieldType = tempField["type"]
self.assertEqual(tempFieldType["class"], "H5T_FLOAT")
self.failUnlessEqual(tempFieldType["size"], 4)
self.failUnlessEqual(tempFieldType["base_size"], 4)
self.failUnlessEqual(tempFieldType["order"], "H5T_ORDER_LE")
self.failUnlessEqual(tempFieldType["base"], "H5T_IEEE_F32LE")
typeItem = hdf5dtype.getTypeResponse(typeItem) # non-verbose format
self.assertEqual(typeItem["class"], "H5T_COMPOUND")
self.assertTrue("fields" in typeItem)
fields = typeItem["fields"]
self.assertEqual(len(fields), 3)
tempField = fields[0]
self.assertEqual(tempField["name"], "temp")
self.assertTrue("type" in tempField)
tempFieldType = tempField["type"]
self.failUnlessEqual(tempFieldType["class"], "H5T_FLOAT")
self.failUnlessEqual(tempFieldType["base"], "H5T_IEEE_F32LE")
def dumpDataset(self, uuid):
response = {'id': uuid}
item = self.db.getDatasetItemByUuid(uuid)
response['alias'] = item['alias']
typeItem = item['type']
response['type'] = hdf5dtype.getTypeResponse(typeItem)
shapeItem = item['shape']
response['shape'] = shapeItem
if 'dims' in shapeItem and 'maxdims' in shapeItem:
extensible = False
dims = shapeItem['dims']
maxdims = shapeItem['maxdims']
for i in range(len(dims)):
if dims[i] < maxdims[i]:
extensible = True
break
# dump the fill value
if extensible and 'fillvalue' in item:
response['fillvalue'] = item['fillvalue']
attributes = self.dumpAttributes('datasets', uuid)
response['attributes'] = attributes
value = self.db.getDatasetValuesByUuid(uuid)
response['value'] = value
return response
def testCompoundTypeItem(self):
dt = np.dtype([("temp", np.float32), ("pressure", np.float32), ("wind", np.int16)])
typeItem = hdf5dtype.getTypeItem(dt)
self.assertEqual(typeItem['class'], 'H5T_COMPOUND')
self.assertTrue('fields' in typeItem)
fields = typeItem['fields']
self.assertEqual(len(fields), 3)
tempField = fields[0]
self.assertEqual(tempField['name'], 'temp')
self.assertTrue('type' in tempField)
tempFieldType = tempField['type']
self.assertEqual(tempFieldType['class'], 'H5T_FLOAT')
self.failUnlessEqual(tempFieldType['size'], 4)
self.failUnlessEqual(tempFieldType['base_size'], 4)
self.failUnlessEqual(tempFieldType['order'], 'H5T_ORDER_LE')
self.failUnlessEqual(tempFieldType['base'], 'H5T_IEEE_F32LE')
typeItem = hdf5dtype.getTypeResponse(typeItem) # non-verbose format
self.assertEqual(typeItem['class'], 'H5T_COMPOUND')
self.assertTrue('fields' in typeItem)
fields = typeItem['fields']
self.assertEqual(len(fields), 3)
tempField = fields[0]
self.assertEqual(tempField['name'], 'temp')
self.assertTrue('type' in tempField)
tempFieldType = tempField['type']
self.failUnlessEqual(tempFieldType['class'], 'H5T_FLOAT')
self.failUnlessEqual(tempFieldType['base'], 'H5T_IEEE_F32LE')
def dumpDataset(self, uuid):
response = { 'id': uuid }
item = self.db.getDatasetItemByUuid(uuid)
response['alias'] = item['alias']
typeItem = item['type']
response['type'] = hdf5dtype.getTypeResponse(typeItem)
shapeItem = item['shape']
response['shape'] = shapeItem
if 'dims' in shapeItem and 'maxdims' in shapeItem:
extensible = False
dims = shapeItem['dims']
maxdims = shapeItem['maxdims']
for i in range(len(dims)):
if dims[i] < maxdims[i]:
extensible = True
break
# dump the fill value
if extensible and 'fillvalue' in item:
response['fillvalue'] = item['fillvalue']
attributes = self.dumpAttributes('datasets', uuid)
response['attributes'] = attributes
value = self.db.getDatasetValuesByUuid(uuid)
response['value'] = value
return response
def testBaseFloatTypeItem(self):
dt = np.dtype('<f8')
typeItem = hdf5dtype.getTypeItem(dt)
self.failUnlessEqual(typeItem['class'], 'H5T_FLOAT')
self.failUnlessEqual(typeItem['base'], 'H5T_IEEE_F64LE')
typeItem = hdf5dtype.getTypeResponse(typeItem) # non-verbose format
self.failUnlessEqual(typeItem['class'], 'H5T_FLOAT')
self.failUnlessEqual(typeItem['base'], 'H5T_IEEE_F64LE')
def dumpAttribute(self, col_name, uuid, attr_name):
item = self.db.getAttributeItem(col_name, uuid, attr_name)
response = {'name': attr_name}
typeItem = item['type']
response['type'] = hdf5dtype.getTypeResponse(typeItem)
response['shape'] = item['shape']
response['value'] = item['value']
return response
def testBaseIntegerTypeItem(self):
dt = np.dtype('<i1')
typeItem = hdf5dtype.getTypeItem(dt)
self.assertEqual(typeItem['class'], 'H5T_INTEGER')
self.assertEqual(typeItem['base'], 'H5T_STD_I8LE')
typeItem = hdf5dtype.getTypeResponse(typeItem) # non-verbose format
self.assertEqual(typeItem['class'], 'H5T_INTEGER')
self.assertEqual(typeItem['base'], 'H5T_STD_I8LE')
def testBaseFloat16TypeItem(self):
dt = np.dtype('<f2')
typeItem = hdf5dtype.getTypeItem(dt)
self.assertEqual(typeItem['class'], 'H5T_FLOAT')
self.assertEqual(typeItem['base'], 'H5T_IEEE_F16LE')
typeItem = hdf5dtype.getTypeResponse(typeItem) # non-verbose format
self.assertEqual(typeItem['class'], 'H5T_FLOAT')
self.assertEqual(typeItem['base'], 'H5T_IEEE_F16LE')
def dumpAttribute(self, col_name, uuid, attr_name):
item = self.db.getAttributeItem(col_name, uuid, attr_name)
response = { 'name': attr_name }
typeItem = item['type']
response['type'] = hdf5dtype.getTypeResponse(typeItem)
response['shape'] = item['shape']
response['value'] = item['value']
return response
def testBaseFloatTypeItem(self):
dt = np.dtype('<f8')
typeItem = hdf5dtype.getTypeItem(dt)
self.failUnlessEqual(typeItem['class'], 'H5T_FLOAT')
self.failUnlessEqual(typeItem['base'], 'H5T_IEEE_F64LE')
typeItem = hdf5dtype.getTypeResponse(typeItem) # non-verbose format
self.failUnlessEqual(typeItem['class'], 'H5T_FLOAT')
self.failUnlessEqual(typeItem['base'], 'H5T_IEEE_F64LE')
def testBaseIntegerTypeItem(self):
dt = np.dtype('<i1')
typeItem = hdf5dtype.getTypeItem(dt)
self.failUnlessEqual(typeItem['class'], 'H5T_INTEGER')
self.failUnlessEqual(typeItem['base'], 'H5T_STD_I8LE')
typeItem = hdf5dtype.getTypeResponse(typeItem) # non-verbose format
self.failUnlessEqual(typeItem['class'], 'H5T_INTEGER')
self.failUnlessEqual(typeItem['base'], 'H5T_STD_I8LE')
def dumpDatatype(self, uuid):
response = {'id': uuid}
item = self.db.getCommittedTypeItemByUuid(uuid)
response['alias'] = item['alias']
typeItem = item['type']
response['type'] = hdf5dtype.getTypeResponse(typeItem)
attributes = self.dumpAttributes('datatypes', uuid)
response['attributes'] = attributes
return response
def dumpDatatype(self, uuid):
response = { 'id': uuid }
item = self.db.getCommittedTypeItemByUuid(uuid)
response['alias'] = item['alias']
typeItem = item['type']
response['type'] = hdf5dtype.getTypeResponse(typeItem)
attributes = self.dumpAttributes('datatypes', uuid)
response['attributes'] = attributes
return response
def testBaseIntegerTypeItem(self):
dt = np.dtype('<i1')
typeItem = hdf5dtype.getTypeItem(dt)
self.failUnlessEqual(typeItem['class'], 'H5T_INTEGER')
self.failUnlessEqual(typeItem['size'], 1)
self.failUnlessEqual(typeItem['base_size'], 1)
self.failUnlessEqual(typeItem['order'], 'H5T_ORDER_LE')
self.failUnlessEqual(typeItem['base'], 'H5T_STD_I8LE')
typeItem = hdf5dtype.getTypeResponse(typeItem) # non-verbose format
self.failUnlessEqual(typeItem['class'], 'H5T_INTEGER')
self.failUnlessEqual(typeItem['base'], 'H5T_STD_I8LE')
def testBaseIntegerTypeItem(self):
dt = np.dtype("<i1")
typeItem = hdf5dtype.getTypeItem(dt)
self.failUnlessEqual(typeItem["class"], "H5T_INTEGER")
self.failUnlessEqual(typeItem["size"], 1)
self.failUnlessEqual(typeItem["base_size"], 1)
self.failUnlessEqual(typeItem["order"], "H5T_ORDER_LE")
self.failUnlessEqual(typeItem["base"], "H5T_STD_I8LE")
typeItem = hdf5dtype.getTypeResponse(typeItem) # non-verbose format
self.failUnlessEqual(typeItem["class"], "H5T_INTEGER")
self.failUnlessEqual(typeItem["base"], "H5T_STD_I8LE")
def testBaseFloatTypeItem(self):
dt = np.dtype("<f8")
typeItem = hdf5dtype.getTypeItem(dt)
self.failUnlessEqual(typeItem["class"], "H5T_FLOAT")
self.failUnlessEqual(typeItem["size"], 8)
self.failUnlessEqual(typeItem["base_size"], 8)
self.failUnlessEqual(typeItem["order"], "H5T_ORDER_LE")
self.failUnlessEqual(typeItem["base"], "H5T_IEEE_F64LE")
typeItem = hdf5dtype.getTypeResponse(typeItem) # non-verbose format
self.failUnlessEqual(typeItem["class"], "H5T_FLOAT")
self.failUnlessEqual(typeItem["base"], "H5T_IEEE_F64LE")
def dumpAttribute(self, col_name, uuid, attr_name):
self.log.info("dumpAttribute: [" + attr_name + "]")
item = self.db.getAttributeItem(col_name, uuid, attr_name)
response = { 'name': attr_name }
typeItem = item['type']
response['type'] = hdf5dtype.getTypeResponse(typeItem)
response['shape'] = item['shape']
if not self.options.D:
if 'value' not in item:
self.log.warning("no value key in attribute: " + attr_name)
else:
response['value'] = item['value'] # dump values unless header -D was passed
return response
def dumpDataset(self, uuid):
response = { }
self.log.info("dumpDataset: " + uuid)
item = self.db.getDatasetItemByUuid(uuid)
if 'alias' in item:
alias = item['alias']
if alias:
self.log.info("dumpDataset alias: [" + alias[0] + "]")
response['alias'] = item['alias']
typeItem = item['type']
response['type'] = hdf5dtype.getTypeResponse(typeItem)
shapeItem = item['shape']
shape_rsp = {}
num_elements = 1
shape_rsp['class'] = shapeItem['class']
if 'dims' in shapeItem:
shape_rsp['dims'] = shapeItem['dims']
for dim in shapeItem['dims']:
num_elements *= dim
if 'maxdims' in shapeItem:
maxdims = []
for dim in shapeItem['maxdims']:
if dim == 0:
maxdims.append('H5S_UNLIMITED')
else:
maxdims.append(dim)
shape_rsp['maxdims'] = maxdims
response['shape'] = shape_rsp
if 'creationProperties' in item:
response['creationProperties'] = item['creationProperties']
attributes = self.dumpAttributes('datasets', uuid)
if attributes:
response['attributes'] = attributes
if not (self.options.D or self.options.d):
if num_elements > 0:
value = self.db.getDatasetValuesByUuid(uuid)
response['value'] = value # dump values unless header flag was passed
else:
response['value'] = [] # empty list
return response
def dumpDataset(self, uuid):
response = {}
self.log.info("dumpDataset: " + uuid)
item = self.db.getDatasetItemByUuid(uuid)
if 'alias' in item:
alias = item['alias']
if alias:
self.log.info("dumpDataset alias: [" + alias[0] + "]")
response['alias'] = item['alias']
typeItem = item['type']
response['type'] = hdf5dtype.getTypeResponse(typeItem)
shapeItem = item['shape']
shape_rsp = {}
num_elements = 1
shape_rsp['class'] = shapeItem['class']
if 'dims' in shapeItem:
shape_rsp['dims'] = shapeItem['dims']
for dim in shapeItem['dims']:
num_elements *= dim
if 'maxdims' in shapeItem:
maxdims = []
for dim in shapeItem['maxdims']:
if dim == 0:
maxdims.append('H5S_UNLIMITED')
else:
maxdims.append(dim)
shape_rsp['maxdims'] = maxdims
response['shape'] = shape_rsp
if 'creationProperties' in item:
response['creationProperties'] = item['creationProperties']
attributes = self.dumpAttributes('datasets', uuid)
if attributes:
response['attributes'] = attributes
if not (self.options.D or self.options.d):
if num_elements > 0:
value = self.db.getDatasetValuesByUuid(uuid)
response[
'value'] = value # dump values unless header flag was passed
else:
response['value'] = [] # empty list
return response
