capybara/virtualenv/lib/python2.7/site-packages/lxml/html/diff.py
def html_annotate(doclist, markup=default_markup):
    """
    doclist should be ordered from oldest to newest, like::

        >>> version1 = 'Hello World'
        >>> version2 = 'Goodbye World'
        >>> print(html_annotate([(version1, 'version 1'),
        ...                      (version2, 'version 2')]))
        <span title="version 2">Goodbye</span> <span title="version 1">World</span>

    The documents must be *fragments* (str/UTF8 or unicode), not
    complete documents

    The markup argument is a function to markup the spans of words.
    This function is called like markup('Hello', 'version 2'), and
    returns HTML.  The first argument is text and never includes any
    markup.  The default uses a span with a title:

        >>> print(default_markup('Some Text', 'by Joe'))
        <span title="by Joe">Some Text</span>
    """
    # The basic strategy we have is to split the documents up into
    # logical tokens (which are words with attached markup).  We then
    # do diffs of each of the versions to track when a token first
    # appeared in the document; the annotation attached to the token
    # is the version where it first appeared.
    tokenlist = [tokenize_annotated(doc, version)
                 for doc, version in doclist]
    cur_tokens = tokenlist[0]
    for tokens in tokenlist[1:]:
        html_annotate_merge_annotations(cur_tokens, tokens)
        cur_tokens = tokens

    # After we've tracked all the tokens, we can combine spans of text
    # that are adjacent and have the same annotation
    cur_tokens = compress_tokens(cur_tokens)
    # And finally add markup
    result = markup_serialize_tokens(cur_tokens, markup)
    return ''.join(result).strip()
def html_annotate(doclist, markup=default_markup):
    """
    doclist should be ordered from oldest to newest, like::

        >>> version1 = 'Hello World'
        >>> version2 = 'Goodbye World'
        >>> print(html_annotate([(version1, 'version 1'),
        ...                      (version2, 'version 2')]))
        <span title="version 2">Goodbye</span> <span title="version 1">World</span>

    The documents must be *fragments* (str/UTF8 or unicode), not
    complete documents

    The markup argument is a function to markup the spans of words.
    This function is called like markup('Hello', 'version 2'), and
    returns HTML.  The first argument is text and never includes any
    markup.  The default uses a span with a title:

        >>> print(default_markup('Some Text', 'by Joe'))
        <span title="by Joe">Some Text</span>
    """
    # The basic strategy we have is to split the documents up into
    # logical tokens (which are words with attached markup).  We then
    # do diffs of each of the versions to track when a token first
    # appeared in the document; the annotation attached to the token
    # is the version where it first appeared.
    tokenlist = [tokenize_annotated(doc, version)
                 for doc, version in doclist]
    cur_tokens = tokenlist[0]
    for tokens in tokenlist[1:]:
        html_annotate_merge_annotations(cur_tokens, tokens)
        cur_tokens = tokens

    # After we've tracked all the tokens, we can combine spans of text
    # that are adjacent and have the same annotation
    cur_tokens = compress_tokens(cur_tokens)
    # And finally add markup
    result = markup_serialize_tokens(cur_tokens, markup)
    return ''.join(result).strip()
def html_annotate ( doclist , markup = default_markup ) : # The basic strategy we have is to split the documents up into # logical tokens (which are words with attached markup).  We then # do diffs of each of the versions to track when a token first # appeared in the document; the annotation attached to the token # is the version where it first appeared. tokenlist = [ tokenize_annotated ( doc , version ) for doc , version in doclist ] cur_tokens = tokenlist [ 0 ] for tokens in tokenlist [ 1 : ] : html_annotate_merge_annotations ( cur_tokens , tokens ) cur_tokens = tokens # After we've tracked all the tokens, we can combine spans of text # that are adjacent and have the same annotation cur_tokens = compress_tokens ( cur_tokens ) # And finally add markup result = markup_serialize_tokens ( cur_tokens , markup ) return '' . join ( result ) . strip ( )
doclist should be ordered from oldest to newest, like::

        >>> version1 = 'Hello World'
        >>> version2 = 'Goodbye World'
        >>> print(html_annotate([(version1, 'version 1'),
        ...                      (version2, 'version 2')]))
        <span title="version 2">Goodbye</span> <span title="version 1">World</span>

    The documents must be *fragments* (str/UTF8 or unicode), not
    complete documents

    The markup argument is a function to markup the spans of words.
    This function is called like markup('Hello', 'version 2'), and
    returns HTML.  The first argument is text and never includes any
    markup.  The default uses a span with a title:

        >>> print(default_markup('Some Text', 'by Joe'))
        <span title="by Joe">Some Text</span>
doclist should be ordered from oldest to newest like ::