code: def vectors_are_parallel(v, w):
      # Columns are considered parallel when they are equal or negative.
      # Entries are required to be in {-1, 1},
      # which guarantees that the magnitudes of the vectors are identical.
      if v.ndim != 1 or v.shape != w.shape:
          raise ValueError(
              "expected conformant vectors with entries in {-1,1}"
          )
      n = v.shape[0]
      return np.dot(v, w) == n
  
file_path: scipy/scipy/sparse/linalg/_onenormest.py
imports: import numpy
  from scipy.sparse.linalg import aslinearoperator
label_desc: Use image node_id 7 for calling a global function with example usage: vectors_are_parallel(v, w) and returns: unknown