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ListSchemasInput

Source code in docs_src/capo_cleanrooms/types/list_schemas_input.py 
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class ListSchemasInput(TypedDict, closed=True):
    collaboration_identifier: (
        "capo_cleanrooms.types.collaboration_identifier.CollaborationIdentifier"
    )
    """<p>A unique identifier for the collaboration that the schema belongs to. Currently accepts a collaboration ID.</p>"""
    schema_type: NotRequired["capo_cleanrooms.types.schema_type.SchemaType"]
    """<p>If present, filter schemas by schema type.</p>"""
    next_token: NotRequired["capo_cleanrooms.types.pagination_token.PaginationToken"]
    """<p>The pagination token that's used to fetch the next set of results.</p>"""
    max_results: NotRequired["capo_cleanrooms.types.max_results.MaxResults"]
    """<p>The maximum number of results that are returned for an API request call. The service chooses a default number if you don't set one. The service might return a `nextToken` even if the `maxResults` value has not been met.</p>"""

collaboration_identifier instance-attribute 

collaboration_identifier: CollaborationIdentifier

A unique identifier for the collaboration that the schema belongs to. Currently accepts a collaboration ID.

max_results instance-attribute 

max_results: NotRequired[MaxResults]

The maximum number of results that are returned for an API request call. The service chooses a default number if you don't set one. The service might return a `nextToken` even if the `maxResults` value has not been met.

next_token instance-attribute 

next_token: NotRequired[PaginationToken]

The pagination token that's used to fetch the next set of results.

schema_type instance-attribute 

schema_type: NotRequired[SchemaType]

If present, filter schemas by schema type.