# Path: zarr/errors.py
# class MetadataError(Exception):
#     pass
# 
# Path: zarr/util.py
# def json_dumps(o: Any) -> bytes:
#     """Write JSON in a consistent, human-readable way."""
#     return json.dumps(o, indent=4, sort_keys=True, ensure_ascii=True,
#                       separators=(',', ': ')).encode('ascii')
# 
# def json_loads(s: str) -> Dict[str, Any]:
#     """Read JSON in a consistent way."""
#     return json.loads(ensure_text(s, 'ascii'))


import base64
import numpy as np
                import numcodecs
            import numcodecs
from collections.abc import Mapping
from zarr.errors import MetadataError
from zarr.util import json_dumps, json_loads
from typing import cast, Union, Any, List, Mapping as MappingType

    @classmethod
    def encode_array_metadata(cls, meta: MappingType[str, Any]) -> bytes:
        dtype = meta["dtype"]
        sdshape = ()
        if dtype.subdtype is not None:
            dtype, sdshape = dtype.subdtype

        dimension_separator = meta.get("dimension_separator")
        if dtype.hasobject:
            object_codec = numcodecs.get_codec(meta['filters'][0])
        else:
            object_codec = None

        meta = dict(
            zarr_format=cls.ZARR_FORMAT,
            shape=meta["shape"] + sdshape,
            chunks=meta["chunks"],
            dtype=cls.encode_dtype(dtype),
            compressor=meta["compressor"],
            fill_value=cls.encode_fill_value(meta["fill_value"], dtype, object_codec),
            order=meta["order"],
            filters=meta["filters"],
        )
        if dimension_separator:
            meta['dimension_separator'] = dimension_separator

        if dimension_separator:
            meta["dimension_separator"] = dimension_separator


# Path: zarr/errors.py
# class MetadataError(Exception):
#     pass
# 
# Path: zarr/util.py
# def json_dumps(o: Any) -> bytes:
#     """Write JSON in a consistent, human-readable way."""
#     return json.dumps(o, indent=4, sort_keys=True, ensure_ascii=True,
#                       separators=(',', ': ')).encode('ascii')
# 
# def json_loads(s: str) -> Dict[str, Any]:
#     """Read JSON in a consistent way."""
#     return json.loads(ensure_text(s, 'ascii'))


# Path: zarr/meta.py
import base64
import numpy as np
                import numcodecs
            import numcodecs
from collections.abc import Mapping
from zarr.errors import MetadataError
from zarr.util import json_dumps, json_loads
from typing import cast, Union, Any, List, Mapping as MappingType


    @classmethod
    def encode_array_metadata(cls, meta: MappingType[str, Any]) -> bytes:
        dtype = meta["dtype"]
        sdshape = ()
        if dtype.subdtype is not None:
            dtype, sdshape = dtype.subdtype

        dimension_separator = meta.get("dimension_separator")
        if dtype.hasobject:
            object_codec = numcodecs.get_codec(meta['filters'][0])
        else:
            object_codec = None

        meta = dict(
            zarr_format=cls.ZARR_FORMAT,
            shape=meta["shape"] + sdshape,
            chunks=meta["chunks"],
            dtype=cls.encode_dtype(dtype),
            compressor=meta["compressor"],
            fill_value=cls.encode_fill_value(meta["fill_value"], dtype, object_codec),
            order=meta["order"],
            filters=meta["filters"],
        )
        if dimension_separator:
            meta['dimension_separator'] = dimension_separator

        if dimension_separator:
            meta["dimension_separator"] = dimension_separator


        return json_dumps(meta)