def array_inspect(value):
# Check if array has any values. If not, we can't determine the proper
# array typeoid.
first_element = array_find_first_element(value)
if first_element == None:
raise ArrayContentEmptyError("array has no values")
# supported array output
typ = type(first_element)
if typ == int or typ == long or typ == float:
typ = decimal.Decimal
array_typeoid = py_array_types.get(typ)
if array_typeoid == None:
raise ArrayContentNotSupportedError("type %r not supported as array contents" % typ)
# check for homogenous array
for v in array_flatten(value):
if v != None and not (isinstance(v, typ) or (typ == long and isinstance(v, int)) or (typ == int and isinstance(v, long)) or ((typ == long or typ == int) and isinstance(v, decimal.Decimal)) or (typ == decimal.Decimal and isinstance(v, int)) or (typ == decimal.Decimal and isinstance(v, long))):
raise ArrayContentNotHomogenousError("not all array elements are of type %r, first offender: %r" % (typ, v))
# check that all array dimensions are consistent
array_check_dimensions(value)
type_data = py_types[typ]
return {
"typeoid": array_typeoid,
"bin_out": array_send(type_data["typeoid"], type_data["bin_out"])
}
def array_inspect(value):
# Check if array has any values. If not, we can't determine the proper
# array typeoid.
first_element = array_find_first_element(value)
if first_element == None:
raise ArrayContentEmptyError("array has no values")
# supported array output
typ = type(first_element)
if issubclass(typ, int) or issubclass(typ, long):
# special int array support -- send as smallest possible array type
special_int_support = True
int2_ok, int4_ok, int8_ok = True, True, True
for v in array_flatten(value):
if v == None:
continue
if min_int2 < v < max_int2:
continue
int2_ok = False
if min_int4 < v < max_int4:
continue
int4_ok = False
if min_int8 < v < max_int8:
continue
int8_ok = False
if int2_ok:
array_typeoid = 1005 # INT2[]
elif int4_ok:
array_typeoid = 1007 # INT4[]
elif int8_ok:
array_typeoid = 1016 # INT8[]
else:
raise ArrayContentNotSupportedError("numeric not supported as array contents")
else:
special_int_support = False
array_typeoid = py_array_types.get(typ)
if array_typeoid == None:
raise ArrayContentNotSupportedError("type %r not supported as array contents" % typ)
# check for homogenous array
for v in array_flatten(value):
if v != None and not (isinstance(v, typ) or (typ == long and isinstance(v, int)) or (typ == int and isinstance(v, long))):
raise ArrayContentNotHomogenousError("not all array elements are of type %r" % typ)
# check that all array dimensions are consistent
array_check_dimensions(value)
type_data = py_types[typ]
if special_int_support:
if array_typeoid == 1005:
type_data = {"typeoid": 21, "bin_out": int2send}
elif array_typeoid == 1007:
type_data = {"typeoid": 23, "bin_out": int4send}
elif array_typeoid == 1016:
type_data = {"typeoid": 20, "bin_out": int8send}
else:
type_data = py_types[typ]
return {
"typeoid": array_typeoid,
"bin_out": array_send(type_data["typeoid"], type_data["bin_out"])
}