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Top 10 Examples of "fire in functional component" in Python

Dive into secure and efficient coding practices with our curated list of the top 10 examples showcasing 'fire' in functional components in Python. Our advanced machine learning engine meticulously scans each line of code, cross-referencing millions of open source libraries to ensure your implementation is not just functional, but also robust and secure. Elevate your React applications to new heights by mastering the art of handling side effects, API calls, and asynchronous operations with confidence and precision.

raw_text = input("Model prompt >>> ")
            context_tokens = enc.encode(raw_text)
            generated = 0
            for _ in range(nsamples // batch_size):
                out = sess.run(output, feed_dict={
                    context: [context_tokens for _ in range(batch_size)]
                })[:, len(context_tokens):]
                for i in range(batch_size):
                    generated += 1
                    text = enc.decode(out[i])
                    print("=" * 40 + " SAMPLE " + str(generated) + " " + "=" * 40)
                    print(text)
            print("=" * 80)

if __name__ == '__main__':
    fire.Fire(interact_model)
Args:
      code: The status code that the FireExit should contain.
      regexp: stdout must match this regex.
    Yields:
      Yields to the wrapped context.
    """
    with self.assertOutputMatches(stderr=regexp):
      with self.assertRaises(core.FireExit):
        try:
          yield
        except core.FireExit as exc:
          if exc.code != code:
            raise AssertionError('Incorrect exit code: %r != %r' % (exc.code,
                                                                    code))
          self.assertIsInstance(exc.trace, trace.FireTrace)
          raise
print('Fine-tuning only the last layer...')
        learn.freeze_to(-1)

    if use_regular_schedule:
        print('Using regular schedule. Setting use_clr=None, n_cycles=cl, cycle_len=None.')
        use_clr = None
        n_cycles = cl
        cl = None
    else:
        n_cycles = 1
    learn.fit(lrs, n_cycles, wds=wd, cycle_len=cl, use_clr=(8,8) if use_clr else None)
    print('Plotting lrs...')
    learn.sched.plot_lr()
    learn.save(final_clas_file)

if __name__ == '__main__': fire.Fire(train_clas)
Path(config.history_path).unlink()
                    elif cli_args:
                        getattr(chepy_cli, cli_method)(
                            fire_obj, **{cli_args.group(1): cli_args.group(2)}
                        )
                    else:
                        getattr(chepy_cli, cli_method)(fire_obj)

                else:
                    for method in chepy:
                        if not method.startswith("_") and not isinstance(
                            getattr(Chepy, method), property
                        ):
                            fire.decorators._SetMetadata(
                                getattr(Chepy, method),
                                fire.decorators.ACCEPTS_POSITIONAL_ARGS,
                                False,
                            )
                    args_data += prompt.split()
                    if args_data[-1] != "-":
                        args_data.append("-")
                    try:
                        last_command = prompt.split() + ["-"]
                        fire_obj = fire.Fire(Chepy, command=args_data)
                    # handle required args for methods
                    except fire.core.FireExit:
                        args_data = args_data[: -len(last_command)]
                    except TypeError as e:
                        print(red(e.message))
                    except SystemExit:
                        sys.exit()
                    except:
# Delete the cli history file
                    elif cli_method == "cli_delete_history":
                        Path(config.history_path).unlink()
                    elif cli_args:
                        getattr(chepy_cli, cli_method)(
                            fire_obj, **{cli_args.group(1): cli_args.group(2)}
                        )
                    else:
                        getattr(chepy_cli, cli_method)(fire_obj)

                else:
                    for method in chepy:
                        if not method.startswith("_") and not isinstance(
                            getattr(Chepy, method), property
                        ):
                            fire.decorators._SetMetadata(
                                getattr(Chepy, method),
                                fire.decorators.ACCEPTS_POSITIONAL_ARGS,
                                False,
                            )
                    args_data += prompt.split()
                    if args_data[-1] != "-":
                        args_data.append("-")
                    try:
                        last_command = prompt.split() + ["-"]
                        fire_obj = fire.Fire(Chepy, command=args_data)
                    # handle required args for methods
                    except fire.core.FireExit:
                        args_data = args_data[: -len(last_command)]
                    except TypeError as e:
                        print(red(e.message))
                    except SystemExit:
def _parse_args_kwargs(params):
    from fire.parser import DefaultParseValue

    args = ()
    kwargs = {}
    for param in _param_split(params):
        if '=' not in param:
            args += (DefaultParseValue(param),)
        else:
            k, v = param.split('=')
            kwargs[k.strip()] = DefaultParseValue(v)
    return args, kwargs
def _parse_args_kwargs(params):
    from fire.parser import DefaultParseValue

    args = ()
    kwargs = {}
    for param in _param_split(params):
        if '=' not in param:
            args += (DefaultParseValue(param),)
        else:
            k, v = param.split('=')
            kwargs[k.strip()] = DefaultParseValue(v)
    return args, kwargs
def connect_rvo2_with_smoke_query(self):

        for floor in self.floors:
            try:
                floor.smoke_query = PartitionQuery(floor=floor.floor)
            except Exception as e:
                self.wlogger.error(e)
                exit(1)
            else:
                self.wlogger.info('Smoke query connected to floor: {}'.format(floor.floor))
out += 'Total {} K8s Cluster Role Bindings Enumerated\n'.format(data['payload']['cluster_role_bindings']['count'])
    out += 'K8s recources saved under {}.\n'.format(module_info['data_saved'])

    return out


def set_args():
    args = {}

    return args


if __name__ == "__main__":
    print('Running module {}...'.format(module_info['name']))

    args = fire.Fire(set_args)
    data = main(args)

    if data is not None:
        summary = summary(data)
        if len(summary) > 1000:
            raise ValueError('The {} module\'s summary is too long ({} characters). Reduce it to 1000 characters or fewer.'.format(module_info['name'], len(summary)))
        if not isinstance(summary, str):
            raise TypeError(' The {} module\'s summary is {}-type instead of str. Make summary return a string.'.format(module_info['name'], type(summary)))
        
        # print('RESULT:')
        # print(json.dumps(data, indent=4, default=str))

        print('{} completed.\n'.format(module_info['name']))
        print('MODULE SUMMARY:\n\n{}\n'.format(summary.strip('\n')))

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