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sneakers-the-rat
4faaa8efe8
or at least all the semantics are present. it's not pretty by any stretch of the imagination
92 lines
2 KiB
Python
92 lines
2 KiB
Python
from __future__ import annotations
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from datetime import datetime, date
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from enum import Enum
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from typing import List, Dict, Optional, Any, Union
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from pydantic import BaseModel as BaseModel, Field
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import sys
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if sys.version_info >= (3, 8):
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from typing import Literal
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else:
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from typing_extensions import Literal
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metamodel_version = "None"
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version = "None"
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class WeakRefShimBaseModel(BaseModel):
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__slots__ = '__weakref__'
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class ConfiguredBaseModel(WeakRefShimBaseModel,
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validate_assignment = True,
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validate_all = True,
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underscore_attrs_are_private = True,
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extra = 'forbid',
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arbitrary_types_allowed = True,
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use_enum_values = True):
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pass
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class FlatDType(str, Enum):
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float = "float"
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float32 = "float32"
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double = "double"
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float64 = "float64"
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long = "long"
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int64 = "int64"
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int = "int"
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int32 = "int32"
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int16 = "int16"
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short = "short"
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int8 = "int8"
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uint = "uint"
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uint32 = "uint32"
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uint16 = "uint16"
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uint8 = "uint8"
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uint64 = "uint64"
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numeric = "numeric"
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text = "text"
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utf = "utf"
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utf8 = "utf8"
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utf_8 = "utf_8"
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ascii = "ascii"
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bool = "bool"
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isodatetime = "isodatetime"
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class Arraylike(ConfiguredBaseModel):
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"""
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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.
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"""
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None
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# Update forward refs
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# see https://pydantic-docs.helpmanual.io/usage/postponed_annotations/
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Arraylike.update_forward_refs()
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