code: def execute_jobs(
      job_specs: Iterable[JobSpec],
      dry_run: bool = False,
      caliban_config: Optional[Dict[str, Any]] = None,
  ):
      """executes a sequence of jobs based on job specs
  
      Arg:
      job_specs: specifications for jobs to be executed
      dry_run: if True, only print what would be done
      caliban_config: caliban configuration data
      """
      caliban_config = caliban_config or {}
  
      with ut.tqdm_logging() as orig_stream:
          pbar = tqdm.tqdm(
              logged_job_specs(job_specs),
              file=orig_stream,
              total=len(job_specs),
              ascii=True,
              unit="experiment",
              desc="Executing",
          )
          for idx, job_spec in enumerate(pbar, 1):
              command = job_spec.spec["command"]
              logging.info(f'Running command: {" ".join(command)}')
              if not dry_run:
                  _, ret_code = ufs.capture_stdout(
                      command, "", ut.TqdmFile(sys.stderr)
                  )
              else:
                  ret_code = 0
              j = Job(
                  spec=job_spec,
                  container=job_spec.spec["container"],
                  details={"ret_code": ret_code},
                  status=JobStatus.SUCCEEDED
                  if ret_code == 0
                  else JobStatus.FAILED,
              )
              local_callback(idx=idx, job=j)
  
      if dry_run:
          logging.info(
              t.yellow(
                  f"\nTo build your image and execute these jobs, "
                  f"run your command again without {c.DRY_RUN_FLAG}\n"
              )
          )
  
      return None
  
imports: from __future__ import absolute_import, division, print_function
  from datetime import datetime
  import json
  import os
  import subprocess
  import sys
  import traceback
  from typing import Any, Dict, Iterable, List, Optional
  import tqdm
  from absl import logging
  from blessings import Terminal
  from tqdm.utils import _screen_shape_wrapper
  import caliban.config
  import caliban.config.experiment
  import caliban.docker.build
  import caliban.util
  import caliban.util.fs
  import caliban.util.metrics
  import caliban.util.tqdm
  from caliban.history.types import Experiment, Job, JobSpec, JobStatus, Platform
  from caliban.history.util import create_experiments, generate_container_spec, get_mem_engine, get_sql_engine, session_scope
label_desc: Use image node_id 8 for calling a global function with example usage: execute_jobs(job_specs, dry_run, caliban_config) and returns: None