def build_pseudonymisation_map_flair(sentences, pseudos, acceptance_score, tags="all"):
    """
    Gets all replacements to be made in pseudonimized text using flair tagged sentences

    :param sentences: list of tuples (flair tagged sentences, original)
    :param pseudos: list of pseudos to be used
    :param acceptance_score: minimum confidence score to accept NER tag
    :return: dict: keys are spans in sentence, values are pseudos
    """

    replacements = {}
    mapping = {}
    for sentence in sentences:
        for entity in sentence[0].get_spans('ner'):
            if entity.score > acceptance_score and entity.tag != '0' and (entity.tag in tags or tags == "all"):
                # ajouter le score en param

                # TODO refaire la gestion des B et I tags
                for token in entity.tokens:
                    if token.text.lower() not in mapping:
                        mapping[token.text.lower()] = pseudos.pop(0)

                    replacements[sentence[1][token.idx - 1]] = mapping[token.text.lower()]

    return replacements