parameters: (model_name)
return_statement: return data[model_name]
docstring: Check data and configuration availability for each model from this file:
  
      https://github.com/hls-fpga-machine-learning/example-models/blob/master/available_data_config.json
docstring_summary: Check data and configuration availability for each model from this file:
docstring_tokens: Check data and configuration availability for each model from this file :
function: def _load_data_config_avai(model_name):
      """
      Check data and configuration availability for each model from this file:
  
      https://github.com/hls-fpga-machine-learning/example-models/blob/master/available_data_config.json
      """
  
      link_to_list = 'https://raw.githubusercontent.com/hls-fpga-machine-learning/example-models/master/available_data_config.json'
      
      temp_file, _ = urlretrieve(link_to_list)
      
      # Read data from file:
      data = json.load(open(temp_file))
  
      return data[model_name]
function_tokens: def _load_data_config_avai ( model_name ) : link_to_list = 'https://raw.githubusercontent.com/hls-fpga-machine-learning/example-models/master/available_data_config.json' temp_file , _ = urlretrieve ( link_to_list ) # Read data from file: data = json . load ( open ( temp_file ) ) return data [ model_name ]