code: def from_from_dict_with_parameters():
      blob_data = b"some bytes"
      assert Document.from_dict(
          {
              "content": "test text",
              "dataframe": pd.DataFrame([0]).to_json(),
              "blob": {
                  "data": list(blob_data),
                  "mime_type": "text/markdown",
              },
              "meta": {"text": "test text"},
              "score": 0.812,
              "embedding": [0.1, 0.2, 0.3],
          }
      ) == Document(
          content="test text",
          dataframe=pd.DataFrame([0]),
          blob=ByteStream(blob_data, mime_type="text/markdown"),
          meta={"text": "test text"},
          score=0.812,
          embedding=[0.1, 0.2, 0.3],
      )
  
imports: import pandas
  import pytest
  from haystack import Document
  from haystack.dataclasses.byte_stream import ByteStream
label_desc: Use image node_id 14 for calling a global function with example usage: from_from_dict_with_parameters() without return types