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from markdown_it import MarkdownIt
def test_ref_definitions():
md = MarkdownIt()
src = "[a]: abc\n\n[b]: xyz\n\n[b]: ijk"
env = {}
tokens = md.parse(src, env)
assert tokens == []
assert env == {
"references": {
"A": {"title": "", "href": "abc", "map": [0, 1]},
"B": {"title": "", "href": "xyz", "map": [2, 3]},
},
"duplicate_refs": [{"href": "ijk", "label": "B", "map": [4, 5], "title": ""}],
}
def test_use_existing_env(data_regression):
md = MarkdownIt()
src = "[a]\n\n[c]: ijk"
env = {
"references": {
"A": {"title": "", "href": "abc", "map": [0, 1]},
"B": {"title": "", "href": "xyz", "map": [2, 3]},
}
}
tokens = md.parse(src, env)
data_regression.check([token.as_dict() for token in tokens])
assert env == {
"references": {
"A": {"title": "", "href": "abc", "map": [0, 1]},
"B": {"title": "", "href": "xyz", "map": [2, 3]},
"C": {"title": "", "href": "ijk", "map": [2, 3]},
}
}
def test_store_labels(data_regression):
md = MarkdownIt()
md.options["store_labels"] = True
src = "[a]\n\n![a]\n\n[a]: ijk"
tokens = md.parse(src)
data_regression.check([token.as_dict() for token in tokens])
def test_inline_definitions(data_regression):
md = MarkdownIt()
md.options["inline_definitions"] = True
src = '[a]: url "title"\n- [a]: url "title"'
tokens = md.parse(src)
data_regression.check([token.as_dict() for token in tokens])
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