class_docstr: A Python stream for use with event logging APIs throughout MLflow (`eprint()`,
  `logger.info()`, etc.). This stream wraps `sys.stderr`, forwarding `write()` and
  `flush()` calls to the stream referred to by `sys.stderr` at the time of the call.
  It also provides capabilities for disabling the stream to silence event logs.
class_docstr_tok: ["A","Python","stream","for","use","with","event","logging","APIs","throughout","MLflow","(","`","eprint","(",")","`",",","`","logger.info","(",")","`",",","etc.",")",".","This","stream","wraps","`","sys.stderr","`",",","forwarding","`","write","(",")","`","and","`","flush","(",")","`","calls","to","the","stream","referred","to","by","`","sys.stderr","`","at","the","time","of","the","call",".","It","also","provides","capabilities","for","disabling","the","stream","to","silence","event","logs","."]
code: def write(self, text):
      if self._enabled:
          sys.stderr.write(text)
  
file_path: mlflow/mlflow/utils/logging_utils.py
imports: import logging
  import logging.config
  import sys
label_desc: Use image node_id 2 for calling the MlflowLoggingStream obj's underlying member method code with example usage: obj.write(text) without return types