class_docstr: Class for generating metrics and printing it to stdout of the worker
class_docstr_tok: ["Class","for","generating","metrics","and","printing","it","to","stdout","of","the","worker"]
docstr: Validates that the dimension values match the dimension names
  amd creates dimension objs
  Parameters
  ----------
  dimension_values
      values corresponding to the metrics dimension names
  Returns
  -------
  list of Dimension objects or ValueError
docstr_tok: ["Validates","that","the","dimension","values","match","the","dimension","names","amd","creates","dimension","objs","Parameters","--","--","--","--","--","dimension_values","values","corresponding","to","the","metrics","dimension","names","Returns","--","--","--","-","list","of","Dimension","objects","or","ValueError"]
code: def _validate_and_get_dimensions(
      self,
      dimension_values: list,
  ) -> list:
      """
      Validates that the dimension values match the dimension names
      amd creates dimension objs
      Parameters
      ----------
      dimension_values
          values corresponding to the metrics dimension names
      Returns
      -------
      list of Dimension objects or ValueError
      """
      if dimension_values is None or len(dimension_values) != len(
          self.dimension_names
      ):
          raise ValueError(
              f"Dimension values: {dimension_values} should "
              f"correspond to Dimension names: {self.dimension_names}"
          )
      dim_objs = []
      for dim_name, dim_value in zip(
          self.dimension_names, dimension_values
      ):
          dim_objs.append(Dimension(dim_name, dim_value))
      return dim_objs
  
file_path: serve/ts/metrics/caching_metric.py
imports: import logging
  import socket
  import time
  from ts.metrics.dimension import Dimension
  from ts.metrics.metric_abstract import MetricAbstract
  from ts.metrics.metric_type_enum import MetricTypes
label_desc: Use image node_id 2 for calling the CachingMetric obj's underlying member method code with example usage: obj._validate_and_get_dimensions(dimension_values) and returns: dim_objs