original_docstring: 
      Read training data and produce:
      A: Matrix whose row labels are patient identification numbers and whose column
      labeled set is D
      b: a vector whose domain is the set of patient identification numbers, and b[r] is 1 if the
      specimen of patient r is malignant and -1 if the specim is benign
      :param fname: path and filename of breast cancer training data
      :return: A, b
      >>> A, b = read_data_into_A_b()
      >>> A.D[0] == b.D
      True
      
docstring: Read training data and produce:
  A: Matrix whose row labels are patient identification numbers and whose column
  labeled set is D
  b: a vector whose domain is the set of patient identification numbers, and b[r] is 1 if the
  specimen of patient r is malignant and -1 if the specim is benign
docstring_tokens: Read training data and produce : A : Matrix whose row labels are patient identification numbers and whose column labeled set is D b : a vector whose domain is the set of patient identification numbers and b [ r ] is 1 if the specimen of patient r is malignant and - 1 if the specim is benign
code: def read_data_into_A_b(fname=training_file):
      """
      Read training data and produce:
      A: Matrix whose row labels are patient identification numbers and whose column
      labeled set is D
      b: a vector whose domain is the set of patient identification numbers, and b[r] is 1 if the
      specimen of patient r is malignant and -1 if the specim is benign
      :param fname: path and filename of breast cancer training data
      :return: A, b
      >>> A, b = read_data_into_A_b()
      >>> A.D[0] == b.D
      True
      """
      return read_training_data(fname)
code_tokens: def read_data_into_A_b ( fname = training_file ) : return read_training_data ( fname )
short_docstring: Read training data and produce:
  A: Matrix whose row labels are patient identification numbers and whose column
  labeled set is D
  b: a vector whose domain is the set of patient identification numbers, and b[r] is 1 if the
  specimen of patient r is malignant and -1 if the specim is benign
short_docstring_tokens: Read training data and produce : A : Matrix whose row labels are patient identification numbers and whose column labeled set is D b : a vector whose domain is the set of patient identification numbers and b [ r ] is 1 if the specimen of patient r is malignant and - 1 if the specim is benign
comment: """
      Read training data and produce:
      A: Matrix whose row labels are patient identification numbers and whose column
      labeled set is D
      b: a vector whose domain is the set of patient identification numbers, and b[r] is 1 if the
      specimen of patient r is malignant and -1 if the specim is benign
      :param fname: path and filename of breast cancer training data
      :return: A, b
      >>> A, b = read_data_into_A_b()
      >>> A.D[0] == b.D
      True
      """