class_docstr: GA has a very particular naming convention for Data Import.
  
  Ability to prefix "ga:" to all column headers and also a dict to rename columns to
  match the custom dimension ID in GA i.e clientId : dimensionX.
  
  :param storage_bucket: The Google cloud storage bucket where the file is stored.
  :param storage_name_object: The name of the object in the desired Google cloud
        storage bucket. (templated) If the destination points to an existing
        folder, the file will be taken from the specified folder.
  :param gcp_conn_id: The connection ID to use when fetching connection info.
  :param custom_dimension_header_mapping: Dictionary to handle when uploading
        custom dimensions which have generic IDs ie. 'dimensionX' which are
        set by GA. Dictionary maps the current CSV header to GA ID which will
        be the new header for the CSV to upload to GA eg clientId : dimension1.
  :param delegate_to: The account to impersonate using domain-wide delegation of authority,
      if any. For this to work, the service account making the request must have
      domain-wide delegation enabled.
  :param impersonation_chain: Optional service account to impersonate using short-term
      credentials, or chained list of accounts required to get the access_token
      of the last account in the list, which will be impersonated in the request.
      If set as a string, the account must grant the originating account
      the Service Account Token Creator IAM role.
      If set as a sequence, the identities from the list must grant
      Service Account Token Creator IAM role to the directly preceding identity, with first
      account from the list granting this role to the originating account (templated).
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code: def execute(self, context: Context) -> None:
      gcs_hook = GCSHook(
          gcp_conn_id=self.gcp_conn_id,
          delegate_to=self.delegate_to,
          impersonation_chain=self.impersonation_chain,
      )
      with NamedTemporaryFile("w+") as tmp_file:
          # Download file from GCS
          self.log.info(
              "Downloading file from GCS: %s/%s ",
              self.storage_bucket,
              self.storage_name_object,
          )
  
          gcs_hook.download(
              bucket_name=self.storage_bucket,
              object_name=self.storage_name_object,
              filename=tmp_file.name,
          )
  
          # Modify file
          self.log.info("Modifying temporary file %s", tmp_file.name)
          self._modify_column_headers(
              tmp_file_location=tmp_file.name,
              custom_dimension_header_mapping=self.custom_dimension_header_mapping,
          )
  
          # Upload newly formatted file to cloud storage
          self.log.info(
              "Uploading file to GCS: %s/%s ",
              self.storage_bucket,
              self.storage_name_object,
          )
          gcs_hook.upload(
              bucket_name=self.storage_bucket,
              object_name=self.storage_name_object,
              filename=tmp_file.name,
          )
  
imports: from __future__ import annotations
  import csv
  import warnings
  from tempfile import NamedTemporaryFile
  from typing import TYPE_CHECKING, Any, Sequence
  from airflow.exceptions import AirflowProviderDeprecationWarning
  from airflow.models import BaseOperator
  from airflow.providers.google.cloud.hooks.gcs import GCSHook
  from airflow.providers.google.marketing_platform.hooks.analytics import GoogleAnalyticsHook
label_desc: Use image node_id 3 for calling the GoogleAnalyticsModifyFileHeadersDataImportOperator obj's underlying member method code with example usage: obj.execute(context) without return types