How to use distance_segment_segment method of Capybara.Queries Package

Best Capybara code snippet using Capybara.Queries.distance_segment_segment

selector_query.rb

Source:selector_query.rb Github

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...482 line_segments.each do |ls1|483 other.line_segments.each do |ls2|484 distance = [485 distance,486 distance_segment_segment(*ls1, *ls2)487 ].min488 end489 end490 distance491 end492 def above?(other)493 bottom <= other.top494 end495 def below?(other)496 top >= other.bottom497 end498 def left_of?(other)499 right <= other.left500 end501 def right_of?(other)502 left >= other.right503 end504 def near?(other)505 distance(other) <= 50506 end507 protected508 def line_segments509 [510 [Vector[top, left], Vector[top, right]],511 [Vector[top, right], Vector[bottom, left]],512 [Vector[bottom, left], Vector[bottom, right]],513 [Vector[bottom, right], Vector[top, left]]514 ]515 end516 private517 def distance_segment_segment(l1p1, l1p2, l2p1, l2p2)518 # See http://geomalgorithms.com/a07-_distance.html519 # rubocop:disable Naming/VariableName520 u = l1p2 - l1p1521 v = l2p2 - l2p1522 w = l1p1 - l2p1523 a = u.dot u524 b = u.dot v525 c = v.dot v526 d = u.dot w527 e = v.dot w528 cap_d = (a * c) - (b * b)529 sD = tD = cap_d530 # compute the line parameters of the two closest points531 if cap_d < Float::EPSILON # the lines are almost parallel...

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distance_segment_segment

Using AI Code Generation

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1p Capybara.Queries.distance_segment_segment([0, 0], [0, 1], [1, 1], [1, 0])2p Capybara.Queries.distance_segment_segment([0, 0], [0, 1], [1, 1], [1, 0.5])3p Capybara.Queries.distance_segment_segment([0, 0], [0, 1], [1, 1], [1, 0.25])4p Capybara.Queries.distance_segment_segment([0, 0], [0, 1], [1, 1], [1, 0.75])5p Capybara.Queries.distance_segment_segment([0, 0], [0, 1], [1, 1], [1, 0.125])6p Capybara.Queries.distance_segment_segment([0, 0], [0, 1], [1, 1], [1, 0.625])7p Capybara.Queries.distance_segment_segment([0, 0], [0, 1], [1, 1], [1, 0.0625])8p Capybara.Queries.distance_segment_segment([0, 0], [0, 1], [1, 1], [1, 0.5625])9p Capybara.Queries.distance_segment_segment([0, 0], [0, 1], [1, 1], [1, 0.03125])10p Capybara.Queries.distance_segment_segment([0, 0], [0, 1], [1, 1], [1, 0.53125])11p Capybara.Queries.distance_segment_segment([0, 0], [0, 1], [1, 1], [1, 0.015625])12p Capybara.Queries.distance_segment_segment([0, 0], [0, 1], [1, 1], [1, 0.515625])13p Capybara.Queries.distance_segment_segment([0, 0], [0, 1], [1, 1],

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distance_segment_segment

Using AI Code Generation

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1 def distance_segment_segment(a, b, c, d, e, f, g, h)2 denom = (y4 - y3) * (x2 - x1) - (x4 - x3) * (y2 - y1)3 ua = ((x4 - x3) * (y1 - y3) - (y4 - y3) * (x1 - x3)) / denom4 ub = ((x2 - x1) * (y1 - y3) - (y2 - y1) * (x1 - x3)) / denom5 x = x1 + ua * (x2 - x1)6 y = y1 + ua * (y2 - y1)7 if ua.between?(0, 1) && ub.between?(0, 1)8 ua = ((x4 - x3) * (y2 - y3) - (y4 - y3) * (x2 - x3)) / denom9 ub = ((x2 - x1) * (y2 - y3) - (y2 - y1) * (x2 - x3)) / denom

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distance_segment_segment

Using AI Code Generation

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1distance = Capybara.Queries.distance_segment_segment(seg1, seg2)2distance = Capybara.Queries.distance_point_segment(point1, seg1)3distance = Capybara.Queries.distance_point_segment(point1, seg1)4distance = Capybara.Queries.distance_point_segment(point1, seg1)

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distance_segment_segment

Using AI Code Generation

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1p1 = Capybara::Queries::Point.new(1,1)2p2 = Capybara::Queries::Point.new(3,1)3p3 = Capybara::Queries::Point.new(2,0)4p4 = Capybara::Queries::Point.new(2,2)5s1 = Capybara::Queries::Segment.new(p1,p2)6s2 = Capybara::Queries::Segment.new(p3,p4)7puts d.distance_segment_segment(s1,s2)8 def distance_segment_segment(s1,s2)9 p = Capybara::Queries::Point.new((s2.b-s1.b)/(s1.a-s2.a),(s1.a*s2.b-s2.a*s1.b)/(s1.a-s2.a))10 if s1.on_segment(p) && s2.on_segment

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