I'm having trouble coming up with a pytest function to test the function below:

Is there a way to mock any function/object such that I can fake a transcription result that's consistent every time I run the test and not send any data to the actual Azure Speech service (so it doesn't get billed)?

def transcribe_azure_speech_file(speech_file):     speech_config = speechsdk.SpeechConfig(subscription=SUBSCRIPTION_KEY, region=REGION)     audio_input = speechsdk.AudioConfig(filename=speech_file)     auto_source_lang_config = speechsdk.AutoDetectSourceLanguageConfig(languages=["en-US"])     speech_recognizer = speechsdk.SpeechRecognizer(         speech_config=speech_config,         audio_config=audio_input,         auto_detect_source_language_config=auto_source_lang_config     )      transcripts = []     done = False      def _stop_cb(evt):         """callback that signals to stop continuous recognition upon receiving an event `evt`"""         print('CLOSING on {}'.format(evt))         nonlocal done         done = True      def _recognized_event(evt):         result = evt.result         start_time = result.offset / 10e6         end_time = start_time + result.duration / 10e6          transcripts.append(             {                 "transcript": result.text,                 "start_time": start_time,                 "end_time": end_time,             }         )      # connect callbacks to the events fired by the speech recognizer     speech_recognizer.recognized.connect(_recognized_event)     # stop continuous recognition on either session stopped or canceled events     speech_recognizer.session_stopped.connect(_stop_cb)     speech_recognizer.canceled.connect(_stop_cb)      # start continuous speech recognition     speech_recognizer.start_continuous_recognition()     while not done:         time.sleep(0.25)      speech_recognizer.stop_continuous_recognition()      return transcripts