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spacy/visualization.py
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119
spacy/visualization.py
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from spacy.tokens import Doc, Token
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class Visualizer:
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@staticmethod
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def render_dependency_trees(doc: Doc) -> list[str]:
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"""
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Returns an ASCII rendering of the document with a dependency tree for each sentence. The
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dependency tree output for a given token has the same index within the output list of
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strings as that token within the input document.
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Adapted from https://github.com/KoichiYasuoka/deplacy
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"""
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heads = [
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-1
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if token.dep_.lower() == "root" or token.head.i == token.i
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else token.head.i
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for token in doc
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]
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children_lists = [[] for _ in range(len(doc))]
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for child, head in enumerate(h for h in heads):
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if head != -1:
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children_lists[head].append(child)
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all_indices_ordered_by_column = []
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indices_in_current_column = [i for i, h in enumerate(heads) if h == -1]
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while len(indices_in_current_column) > 0:
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all_indices_ordered_by_column.extend(indices_in_current_column)
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indices_in_current_column = [
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i
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for index_in_current_column in indices_in_current_column
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for i in children_lists[index_in_current_column]
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if i not in all_indices_ordered_by_column
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]
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all_indices_ordered_by_column = reversed(all_indices_ordered_by_column)
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# -1: no arrow; None: not yet set
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horizontal_arrow_positions = [
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-1
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if heads[i] == -1
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else 0
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if len(children_lists[i]) == 0 and abs(heads[i] - i) == 1
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else None
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for i in range(len(doc))
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]
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while None in horizontal_arrow_positions:
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for working_token_index in (
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i
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for i in all_indices_ordered_by_column
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if horizontal_arrow_positions[i] is None
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):
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first_index_in_relation = min(
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working_token_index,
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heads[working_token_index],
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)
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second_index_in_relation = max(
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working_token_index,
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heads[working_token_index],
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)
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inbetween_indexes = range(
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first_index_in_relation + 1, second_index_in_relation
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)
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inbetween_horizontal_arrow_positions = horizontal_arrow_positions[
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first_index_in_relation + 1 : second_index_in_relation
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]
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if (
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-1 in inbetween_horizontal_arrow_positions
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and None in inbetween_horizontal_arrow_positions
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):
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continue
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if None in (
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horizontal_arrow_positions[i]
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for i in children_lists[working_token_index]
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):
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continue
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if len(children_lists[working_token_index]) > 0:
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working_horizontal_arrow_position = (
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max(
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[
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horizontal_arrow_positions[i]
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for i in children_lists[working_token_index]
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]
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)
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+ 1
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)
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else:
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working_horizontal_arrow_position = -1
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for inbetween_index in (
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i
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for i in inbetween_indexes
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if i not in children_lists[working_token_index]
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and horizontal_arrow_positions[i] is not None
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):
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working_horizontal_arrow_position = max(
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working_horizontal_arrow_position,
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horizontal_arrow_positions[inbetween_index]
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if inbetween_index in children_lists[heads[working_token_index]]
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else horizontal_arrow_positions[inbetween_index] + 1,
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)
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for child_horizontal_arrow_position in (
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horizontal_arrow_positions[i]
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for i in children_lists[working_token_index]
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if (i < first_index_in_relation or i > second_index_in_relation)
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and horizontal_arrow_positions[i] is not None
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):
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working_horizontal_arrow_position = max(
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working_horizontal_arrow_position,
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child_horizontal_arrow_position + 1,
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)
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if working_horizontal_arrow_position > -1:
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horizontal_arrow_positions[
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working_token_index
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] = working_horizontal_arrow_position
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print(horizontal_arrow_positions)
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import spacy
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nlp = spacy.load("en_core_web_sm")
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doc = nlp("I saw a horse yesterday that was injured.")
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Visualizer().render_dependency_trees(doc)
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