`module` `decoding_attempts_table`

Methods to build the rich.table used to display decoding attempts of a given bytes array.

Final output should be a rich.table of decoding attempts that are sorted like this:

String representation of undecoded bytes is always the first row
Encodings which chardet.detect() ranked as > 0% likelihood are sorted based on that confidence
Then the unchardetectable:
Decodings that were successful, unforced, and new
Decodings that were "successful" but forced
Decodings that were the same as other decodings
Failed decodings

Global Variables

new_decoding_attempts_table(bytes_match: BytesMatch) → Table

Build a new rich Table with two rows, the raw and hex views of the bytes_match data.

decoding_table_row(
    assessment: EncodingAssessment,
    is_forced: Text,
    txt: Text,
    score: float
) → DecodingTableRow

Build a table row for a decoding attempt.

Args:

assessment (EncodingAssessment): The chardet assessment for the encoding used.
is_forced (Text): Text indicating if the decode was forced.
txt (Text): The decoded string as a rich Text object (with highlighting).
score (float): The score to use for sorting this row in the table.

Returns:

assessment_only_row(
    assessment: EncodingAssessment,
    score: float
) → DecodingTableRow

Build a DecodingTableRow with just chardet assessment confidence data and no actual decoding attempt string.

Args:

assessment (EncodingAssessment): The chardet assessment for the encoding used.
score (float): The score to use for sorting this row within the table.

Returns:

DecodingTableRow: The constructed table row named tuple with no decoding attempt string.

DecodingTableRow(encoding_label, confidence_text, errors_while_decoded, decoded_string, confidence, encoding, sort_score, encoding_label_plain)

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