from __future__ import annotations from datetime import datetime, date from enum import Enum from typing import List, Dict, Optional, Any, Union from pydantic import BaseModel as BaseModel, Field from nptyping import NDArray, Shape, Float, Float32, Double, Float64, LongLong, Int64, Int, Int32, Int16, Short, Int8, UInt, UInt32, UInt16, UInt8, UInt64, Number, String, Unicode, Unicode, Unicode, String, Bool, Datetime64 import sys if sys.version_info >= (3, 8): from typing import Literal else: from typing_extensions import Literal metamodel_version = "None" version = "None" class WeakRefShimBaseModel(BaseModel): __slots__ = '__weakref__' class ConfiguredBaseModel(WeakRefShimBaseModel, validate_assignment = True, validate_all = True, underscore_attrs_are_private = True, extra = 'forbid', arbitrary_types_allowed = True, use_enum_values = True): pass class Arraylike(ConfiguredBaseModel): """ Container for arraylike information held in the dims, shape, and dtype properties.this is a special case to be interpreted by downstream i/o. this class has no slotsand is abstract by default.- Each slot within a subclass indicates a possible dimension.- Only dimensions that are present in all the dimension specifiers in the original schema are required.- Shape requirements are indicated using max/min cardinalities on the slot. """ None # Update forward refs # see https://pydantic-docs.helpmanual.io/usage/postponed_annotations/ Arraylike.update_forward_refs()