bendns' repos / tracer
small racing game im working on
Diffstat (limited to 'lib/matrix.gd')
-rw-r--r--lib/matrix.gd148
1 files changed, 0 insertions, 148 deletions
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-## Matrix calculations.
-##
-## This class allows to perform all the basic operations with matrices.
-## (add, sub, multiply, scalar, dot product)
-## It is also possible to import and export matrices from an array.
-class_name Matrix
-
-var rows: int
-var cols: int
-
-var data = []
-
-
-func _init(_rows: int,_cols: int,value: float = 0.0):
- randomize()
- rows = _rows
- cols = _cols
- for row in range(rows):
- data.insert(row , [])
- for col in range(cols):
- data[row].insert(col, value)
-
-
-static func from_array(arr: Array[float]) -> Matrix:
- var result = Matrix.new(arr.size(), 1)
- for row in range(result.rows):
- result.data[row][0] = arr[row]
-
- return result
-
-
-static func to_array(matrix: Matrix) -> Array[float]:
- var result = []
- for row in range(matrix.rows):
- for col in range(matrix.cols):
- result.append(matrix.data[row][col])
-
- return result
-
-
-static func rand(matrix: Matrix) -> Matrix:
- randomize()
-
- var result = Matrix.new(matrix.rows, matrix.cols)
-
- for row in range(result.rows):
- for col in range(result.cols):
- result.data[row][col] = randf_range(-1, 1)
-
- return result
-
-
-static func add(a: Matrix, b: Matrix) -> Matrix:
- assert(a.rows == b.rows and a.cols == b.cols)
-
- var result = Matrix.new(a.rows, a.cols)
-
- for row in range(result.rows):
- for col in range(result.cols):
- result.data[row][col] = a.data[row][col] + b.data[row][col]
-
- return result
-
-
-static func subtract(a: Matrix, b: Matrix) -> Matrix:
- assert(a.rows == b.rows and a.cols == b.cols)
-
- var result = Matrix.new(a.rows, a.cols)
-
- for row in range(result.rows):
- for col in range(result.cols):
- result.data[row][col] = a.data[row][col] - b.data[row][col]
-
- return result
-
-
-static func scalar(matrix: Matrix, value: float) -> Matrix:
- var result = Matrix.new(matrix.rows, matrix.cols)
-
- for row in range(result.rows):
- for col in range(result.cols):
- result.data[row][col] = matrix.data[row][col] * value
-
- return result
-
-
-static func product(a: Matrix, b: Matrix) -> Matrix:
- assert(a.cols == b.rows)
-
- var result = Matrix.new(a.rows, b.cols)
-
- for row in range(result.rows):
- for col in range(result.cols):
- result.data[row][col] = 0.0
- for k in range(a.cols):
- result.data[row][col] += a.data[row][k] * b.data[k][col]
-
- return result
-
-
-static func multiply(a: Matrix, b: Matrix) -> Matrix:
- assert(a.rows == b.rows and a.cols == b.cols)
-
- var result = Matrix.new(a.rows, a.cols)
-
- for row in range(result.rows):
- for col in range(result.cols):
- result.data[row][col] = a.data[row][col] * b.data[row][col]
-
- return result
-
-
-static func random(a: Matrix, b: Matrix) -> Matrix:
- randomize()
- var result = Matrix.new(a.rows, a.cols)
- for row in range(result.rows):
- for col in range(result.cols):
- result.data[row][col] = a.data[row][col] if randf_range(0, 1) > 0.5 else b.data[row][col]
-
- return result
-
-
-static func transpose(matrix: Matrix) -> Matrix:
- var result = Matrix.new(matrix.cols, matrix.rows)
-
- for row in range(result.rows):
- for col in range(result.cols):
- result.data[row][col] = matrix.data[col][row]
-
- return result
-
-
-static func copy(matrix: Matrix) -> Matrix:
- var result = Matrix.new(matrix.rows, matrix.cols)
- for row in range(result.rows):
- for col in range(result.cols):
- result.data[row][col] = matrix.data[row][col]
- return result
-
-
-static func map(matrix: Matrix, callback) -> Matrix:
- var result = Matrix.new(matrix.rows, matrix.cols)
-
- for row in range(result.rows):
- for col in range(result.cols):
- result.data[row][col] = callback.call(matrix.data[row][col], row, col)
-
- return result