algorithmic_math.py 文件源码

python
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项目:tensor2tensor 作者: tensorflow 项目源码 文件源码
def generate_algebra_simplify_sample(vlist, ops, min_depth, max_depth):
  """Randomly generate an algebra simplify dataset sample.

  Given an input expression, produce the simplified expression.

  See go/symbolic-math-dataset.

  Args:
    vlist: Variable list. List of chars that can be used in the expression.
    ops: List of ExprOp instances. The allowed operators for the expression.
    min_depth: Expression trees will not have a smaller depth than this. 0 means
        there is just a variable. 1 means there is one operation.
    max_depth: Expression trees will not have a larger depth than this. To make
        all trees have the same depth, set this equal to `min_depth`.

  Returns:
    sample: String representation of the input.
    target: String representation of the solution.
  """
  depth = random.randrange(min_depth, max_depth + 1)
  expr = random_expr(depth, vlist, ops)

  sample = str(expr)
  target = format_sympy_expr(sympy.simplify(sample))
  return sample, target
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