How to use the ftfy.fixes.fix_line_breaks function in ftfy

while True:
        origtext = text
        if remove_terminal_escapes:
            text = fixes.remove_terminal_escapes(text)
        if fix_encoding:
            text = fixes.fix_encoding(text)
        if fix_entities:
            text = fixes.unescape_html(text)
        if fix_latin_ligatures:
            text = fixes.fix_latin_ligatures(text)
        if fix_character_width:
            text = fixes.fix_character_width(text)
        if uncurl_quotes:
            text = fixes.uncurl_quotes(text)
        if fix_line_breaks:
            text = fixes.fix_line_breaks(text)
        if fix_surrogates:
            text = fixes.fix_surrogates(text)
        if remove_control_chars:
            text = fixes.remove_control_chars(text)
        if remove_bom and not remove_control_chars:
            # Skip this step if we've already done `remove_control_chars`,
            # because it would be redundant.
            text = fixes.remove_bom(text)
        if normalization is not None:
            text = unicodedata.normalize(normalization, text)
        if text == origtext:
            return text

- Posts in English should have score >= 2 (they should have net upvotes)
    - Other posts should have score >= 1 (no net downvotes)
    - Posts from subreddits that are banned in 2018 are skipped
    """
    for line in infile:
        data = json.loads(line)
        if (
            'score' in data and 'body' in data and
            data["score"] is not None and data["score"] >= 1 and
            data["body"] != "[deleted]"
        ):
            subreddit = data["subreddit"]
            subreddit_hash = mmh3.hash(subreddit)
            if subreddit_hash not in BANNED_SUBREDDITS:
                md = fix_surrogates(unescape_html(fix_line_breaks(data["body"])))
                text = strip_markdown(md)
                text = text.replace("\n", " ").replace("\u200b", "")
                text = URL_RE.sub("", text)
                if text:
                    lang, confident = detect_language(text)
                    if confident:
                        # There are more English posts than we need, so filter them
                        # for score >= 2
                        if lang != "en" or data["score"] > 1:
                            print(f"{lang}\t{text}", file=outfile)

while True:
        origtext = text
        if fix_entities:
            text = fixes.unescape_html(text)
        if remove_terminal_escapes:
            text = fixes.remove_terminal_escapes(text)
        if fix_encoding:
            text = fixes.fix_text_encoding(text)
        if fix_latin_ligatures:
            text = fixes.fix_latin_ligatures(text)
        if fix_character_width:
            text = fixes.fix_character_width(text)
        if uncurl_quotes:
            text = fixes.uncurl_quotes(text)
        if fix_line_breaks:
            text = fixes.fix_line_breaks(text)
        if fix_surrogates:
            text = fixes.fix_surrogates(text)
        if remove_control_chars:
            text = fixes.remove_control_chars(text)
        if remove_bom:
            text = fixes.remove_bom(text)
        if normalization is not None:
            text = unicodedata.normalize(normalization, text)
        if text == origtext:
            return text