pyaz/synapse/notebook/__init__.py
def import_(file, name, workspace_name, executor_count=None, executor_size=None, folder_path=None, no_wait=None, spark_pool_name=None):
    '''
    Import a notebook.

    Required Parameters:
    - file -- Properties may be supplied from a JSON file using the `@{path}` syntax or a JSON string.
    - name -- The notebook name.
    - workspace_name -- The workspace name.

    Optional Parameters:
    - executor_count -- Number of executors to be allocated in the specified Spark pool for the job.
    - executor_size -- Number of core and memory to be used for executors allocated in the specified Spark pool for the job.
    - folder_path -- The folder that this notebook is in. If not specified, this notebook will appear at the root level. Eg: folder/subfolder1
    - no_wait -- Do not wait for the long-running operation to finish.
    - spark_pool_name -- The name of the Spark pool.
    '''
    return _call_az("az synapse notebook import", locals())

    Import a notebook.

    Required Parameters:
    - file -- Properties may be supplied from a JSON file using the `@{path}` syntax or a JSON string.
    - name -- The notebook name.
    - workspace_name -- The workspace name.

    Optional Parameters:
    - executor_count -- Number of executors to be allocated in the specified Spark pool for the job.
    - executor_size -- Number of core and memory to be used for executors allocated in the specified Spark pool for the job.
    - folder_path -- The folder that this notebook is in. If not specified, this notebook will appear at the root level. Eg: folder/subfolder1
    - no_wait -- Do not wait for the long-running operation to finish.
    - spark_pool_name -- The name of the Spark pool.
    
Import a notebook.
Required Parameters:
file -- Properties may be supplied from a JSON file using the `@{path}` syntax or a JSON string.
name -- The notebook name.
workspace_name -- The workspace name.

Optional Parameters:
executor_count -- Number of executors to be allocated in the specified Spark pool for the job.
executor_size -- Number of core and memory to be used for executors allocated in the specified Spark pool for the job.
folder_path -- The folder that this notebook is in. If not specified, this notebook will appear at the root level. Eg: folder/subfolder1
no_wait -- Do not wait for the long-running operation to finish.
spark_pool_name -- The name of the Spark pool.
Import a notebook . Required Parameters : file -- Properties may be supplied from a JSON file using the ` @ { path } ` syntax or a JSON string . name -- The notebook name . workspace_name -- The workspace name . Optional Parameters : executor_count -- Number of executors to be allocated in the specified Spark pool for the job . executor_size -- Number of core and memory to be used for executors allocated in the specified Spark pool for the job . folder_path -- The folder that this notebook is in . If not specified this notebook will appear at the root level . Eg : folder / subfolder1 no_wait -- Do not wait for the long - running operation to finish . spark_pool_name -- The name of the Spark pool .
def import_(file, name, workspace_name, executor_count=None, executor_size=None, folder_path=None, no_wait=None, spark_pool_name=None):
    return _call_az("az synapse notebook import", locals())
def import_ ( file , name , workspace_name , executor_count = None , executor_size = None , folder_path = None , no_wait = None , spark_pool_name = None ) : return _call_az ( "az synapse notebook import" , locals ( ) )
Import a notebook.
Import a notebook .
'''
    Import a notebook.

    Required Parameters:
    - file -- Properties may be supplied from a JSON file using the `@{path}` syntax or a JSON string.
    - name -- The notebook name.
    - workspace_name -- The workspace name.

    Optional Parameters:
    - executor_count -- Number of executors to be allocated in the specified Spark pool for the job.
    - executor_size -- Number of core and memory to be used for executors allocated in the specified Spark pool for the job.
    - folder_path -- The folder that this notebook is in. If not specified, this notebook will appear at the root level. Eg: folder/subfolder1
    - no_wait -- Do not wait for the long-running operation to finish.
    - spark_pool_name -- The name of the Spark pool.
    '''
file
name
workspace_name
executor_count
executor_size
folder_path
no_wait
spark_pool_name