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render_dependency_trees complete
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@ -1,51 +1,53 @@
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from spacy.tests.lang.ko.test_tokenizer import FULL_TAG_TESTS
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from spacy.tokens import Doc, Token
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from spacy.util import working_dir
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HORIZONTAL_LINE_PART_AWAY_FROM_ROOT = 1
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HORIZONTAL_LINE_PART_TOWARDS_ROOT = 2
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UPPER_VERTICAL_LINE_PART = 4
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LOWER_VERTICAL_LINE_PART = 8
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SPACE = 0
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HALF_HORIZONTAL_LINE = 1 # the half is the half further away from the root
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FULL_HORIZONTAL_LINE = 3
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UPPER_HALF_VERTICAL_LINE = 4
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LOWER_HALF_VERTICAL_LINE = 8
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FULL_VERTICAL_LINE = 12
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ARROWHEAD = 16
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SPACE = 0
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HORIZONTAL_LINE = 3
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VERTICAL_LINE = 12
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ROOT_RIGHT_CHARS = {
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0: " ",
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3: "═",
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5: "╝",
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7: "╩",
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9: "╗",
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11: "╦",
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12: "║",
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13: "╣",
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15: "╬",
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16: "<",
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SPACE: " ",
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FULL_HORIZONTAL_LINE: "═",
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UPPER_HALF_VERTICAL_LINE + HALF_HORIZONTAL_LINE: "╝",
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UPPER_HALF_VERTICAL_LINE + FULL_HORIZONTAL_LINE: "╩",
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LOWER_HALF_VERTICAL_LINE + HALF_HORIZONTAL_LINE: "╗",
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LOWER_HALF_VERTICAL_LINE + FULL_HORIZONTAL_LINE: "╦",
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FULL_VERTICAL_LINE: "║",
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FULL_VERTICAL_LINE + HALF_HORIZONTAL_LINE: "╣",
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FULL_VERTICAL_LINE + FULL_HORIZONTAL_LINE: "╬",
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ARROWHEAD: "<",
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}
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ROOT_LEFT_CHARS = {
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0: " ",
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3: "═",
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5: "╚",
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7: "╩",
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9: "╔",
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11: "╦",
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12: "║",
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13: "╠",
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15: "╬",
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16: ">",
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SPACE: " ",
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FULL_HORIZONTAL_LINE: "═",
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UPPER_HALF_VERTICAL_LINE + HALF_HORIZONTAL_LINE: "╚",
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UPPER_HALF_VERTICAL_LINE + FULL_HORIZONTAL_LINE: "╩",
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LOWER_HALF_VERTICAL_LINE + HALF_HORIZONTAL_LINE: "╔",
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LOWER_HALF_VERTICAL_LINE + FULL_HORIZONTAL_LINE: "╦",
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FULL_VERTICAL_LINE: "║",
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FULL_VERTICAL_LINE + HALF_HORIZONTAL_LINE: "╠",
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FULL_VERTICAL_LINE + FULL_HORIZONTAL_LINE: "╬",
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ARROWHEAD: ">",
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}
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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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def render_dependency_trees(doc: Doc, root_right: bool) -> 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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root_right: True if the tree should be rendered with the root on the right-hand side,
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False if the tree should be rendered with the root on the left-hand side.
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Adapted from https://github.com/KoichiYasuoka/deplacy
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"""
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heads = [
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if head is not None:
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children_lists[head].append(child)
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all_indices_ordered_by_column = []
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# start with the root column
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indices_in_current_column = [i for i, h in enumerate(heads) if h is None]
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while len(indices_in_current_column) > 0:
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all_indices_ordered_by_column = (
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]
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# -1: root token with no arrow; 0: length not yet set
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horizontal_line_lengths = [
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-1
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if heads[i] is None
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else 1
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if len(children_lists[i]) == 0 and abs(heads[i] - i) == 1
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else 0
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-1 if heads[i] is None else 1
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# length == 1: governed by direct neighbour and has no children itself
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if len(children_lists[i]) == 0 and abs(heads[i] - i) == 1 else 0
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for i in range(len(doc))
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]
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while 0 in horizontal_line_lengths:
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for i in all_indices_ordered_by_column
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if horizontal_line_lengths[i] == 0
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):
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# render relation between this token and its head
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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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working_token_index,
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heads[working_token_index],
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)
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# If this token has children, they will already have been rendered.
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# The line needs to be one character longer than the longest of the
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# children's lines.
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if len(children_lists[working_token_index]) > 0:
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working_horizontal_line_length = (
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horizontal_line_lengths[working_token_index] = (
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max(
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[
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horizontal_line_lengths[i]
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+ 1
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)
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else:
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working_horizontal_line_length = 1
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horizontal_line_lengths[working_token_index] = 1
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for inbetween_index in (
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i
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for i in range(
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first_index_in_relation + 1, second_index_in_relation
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)
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if i not in children_lists[working_token_index]
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and horizontal_line_lengths[i] != 0
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if horizontal_line_lengths[i] != 0
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):
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working_horizontal_line_length = max(
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working_horizontal_line_length,
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horizontal_line_lengths[working_token_index] = max(
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horizontal_line_lengths[working_token_index],
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horizontal_line_lengths[inbetween_index]
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if inbetween_index in children_lists[heads[working_token_index]]
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and inbetween_index not in children_lists[working_token_index]
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else horizontal_line_lengths[inbetween_index] + 1,
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)
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for child_horizontal_line_length in (
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horizontal_line_lengths[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_line_lengths[i] != 0
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):
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working_horizontal_line_length = max(
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working_horizontal_line_length,
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child_horizontal_line_length + 1,
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)
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horizontal_line_lengths[
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working_token_index
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] = working_horizontal_line_length
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print(horizontal_line_lengths)
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max_horizontal_line_length = max(horizontal_line_lengths)
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char_matrix = [
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[SPACE] * max_horizontal_line_length * 2 for _ in range(len(doc))
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# Draw the corners of the relation
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char_matrix[first_index_in_relation][char_horizontal_line_length - 1] |= (
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HORIZONTAL_LINE_PART_AWAY_FROM_ROOT + LOWER_VERTICAL_LINE_PART
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HALF_HORIZONTAL_LINE + LOWER_HALF_VERTICAL_LINE
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)
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char_matrix[second_index_in_relation][char_horizontal_line_length - 1] |= (
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HORIZONTAL_LINE_PART_AWAY_FROM_ROOT + UPPER_VERTICAL_LINE_PART
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HALF_HORIZONTAL_LINE + UPPER_HALF_VERTICAL_LINE
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)
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# Draw the horizontal line for the governing token
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for working_horizontal_position in range(char_horizontal_line_length - 1):
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if (
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char_matrix[head_token_index][working_horizontal_position]
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!= VERTICAL_LINE
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!= FULL_VERTICAL_LINE
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):
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char_matrix[head_token_index][
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working_horizontal_position
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] |= HORIZONTAL_LINE
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] |= FULL_HORIZONTAL_LINE
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# Draw the vertical line for the relation
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for working_vertical_position in range(
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char_matrix[working_vertical_position][
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char_horizontal_line_length - 1
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]
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!= HORIZONTAL_LINE
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!= FULL_HORIZONTAL_LINE
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):
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char_matrix[working_vertical_position][
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char_horizontal_line_length - 1
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] |= VERTICAL_LINE
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] |= FULL_VERTICAL_LINE
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for working_token_index in (i for i in range(len(doc)) if heads[i] is not None):
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for working_horizontal_position in range(
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2 * horizontal_line_lengths[working_token_index] - 2, -1, -1
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):
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if (
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char_matrix[working_token_index][working_horizontal_position]
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== VERTICAL_LINE) and working_horizontal_position > 1 and char_matrix[working_token_index][working_horizontal_position - 2] == SPACE:
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# Cross over the existing vertical line, which is owing to a non-projective tree
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continue
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(
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char_matrix[working_token_index][working_horizontal_position]
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== FULL_VERTICAL_LINE
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)
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and working_horizontal_position > 1
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and char_matrix[working_token_index][
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working_horizontal_position - 2
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]
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== SPACE
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):
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# Cross over the existing vertical line, which is owing to a non-projective tree
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continue
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if (
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char_matrix[working_token_index][working_horizontal_position]
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!= SPACE
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if working_horizontal_position == 0:
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# Draw the arrowhead at the boundary of the diagram
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char_matrix[working_token_index][
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working_horizontal_position] = ARROWHEAD
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working_horizontal_position
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] = ARROWHEAD
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else:
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# Fill in the horizontal line for the governed token
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char_matrix[working_token_index][
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working_horizontal_position
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] |= HORIZONTAL_LINE
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return [
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"".join(
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ROOT_RIGHT_CHARS[char_matrix[vertical_position][horizontal_position]]
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for horizontal_position in range((max_horizontal_line_length * 2))
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)
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for vertical_position in range(len(doc))
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]
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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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lines = Visualizer().render_dependency_trees(doc)
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for line in lines:
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print(line)
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] |= FULL_HORIZONTAL_LINE
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if root_right:
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return [
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"".join(
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ROOT_RIGHT_CHARS[
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char_matrix[vertical_position][horizontal_position]
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]
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for horizontal_position in range((max_horizontal_line_length * 2))
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)
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for vertical_position in range(len(doc))
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]
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else:
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return [
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"".join(
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ROOT_LEFT_CHARS[char_matrix[vertical_position][horizontal_position]]
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for horizontal_position in range((max_horizontal_line_length * 2))
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)[::-1]
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for vertical_position in range(len(doc))
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]
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