- Fix Task container does not accept `null` values [Slack Channel](https://clearml.slack.com/archives/CTK20V944/p1622119047293300)
- Fix debug images exception in Results page
- Fix a typo in Worker Setup help popup
### ClearML Server 1.0.1
**Bug Fixes**
- Fix clearing experiment requirements causes "empty" requirements (as opposed to "no requirements")
- Fix logout fails with `endpoint not found` error [ClearML GitHub issue 349](https://github.com/allegroai/clearml/issues/349)
- Fix hamburger side menu `Manage Queues` does nothing and returns console error [Slack Channel](https://clearml.slack.com/archives/CTK20V944/p1620308724418100)
- Fix broken config dir backwards compatibility (`/opt/trains/config` should also be supported)
* Arguments order changed in `Logger.report_line_plot()`, `Logger.report_plotly()` and `Logger.report_matplotlib_figure()` - please use keywords instead of positional arguments
**Features**
* Add OS environemt variable `CLEARML_DEFAULT_OUTPUT_URI` to override default `output_uri` for automatic models upload - [ClearML GitHub issue 328](https://github.com/allegroai/clearml/issues/328)
* Add task filtering in `Task.get_task()` using the `allow_archived` and `task_filter` arguments
* Add `Task.get_configuration_objects()` for reteriving configuration object as a blob of text in automation use-cases (instead of using `Task.connect_configuration()`)
* Improved pipeline support
* Add pipeline step caching
* Add Pipeline controller caching
* Improve pipeline plot reporting
* Add `PipelineController` into main namespace (use `from clearml import PipelineController`)
* Add jupyter notebook preview update time stamp
* Change default metric report flushing to every 5 seconds
* Improve `Task.artifacts` for safer Task multi node use cases
* Support ClearML server API v2.13
* Add Python 3.9 to the support table
* Improve documentation and examples
* Improve documentation for clearml-data, clearml-task
* Add `multiple_tasks_single_process` example script for multiple Tasks created in same code
* Add `using_artifacts_example` and `execute_remotely_example` example scripts
* Update `requirements.txt` for `KerasTuner` example
**Bug Fixes**
* Fix `\r` and `\n` in debug samples title/series - [ClearML GitHub issue 323](https://github.com/allegroai/clearml/issues/323)
* Fix Google API credentials without storage section raises exception on import - [ClearML GitHub issue 331](https://github.com/allegroai/clearml/issues/331)
* Fix Matplotlib automagic export legend not showing series names - [ClearML GitHub issue 337](https://github.com/allegroai/clearml/issues/337)
* Fix `Task.set_comment/name()` passing `None` should be equivalent to `''`
* Fix `Task.set_credentials()` uses incorrect config file when both `trains.conf` and `clearml.conf` are found
* Fix `Task.set_credetnials()` should override settings from config file
* Fix Keras h5 model storage
* Fix `Task.execute_remotely()` with sub process
* Fix Task requirements should conform to strings
* Fix reporting after task closing
* Fix remove deprecation warning with matplotlib 3.1
* Fix dataset create single root plot
* Fix `Model.task` should return task ID
* Fix code hangs when leaving process
* Fix flushing on CR timeout (default 10sec)
* Wait for subprocess when terminating
* Improve flush behaviour on `KeyboardInterrupt` exception
* Wait for subprocesses to flush when terminating
* Fix `Task.set_credentials()` with `store_conf_file=True`
### ClearML Agent 1.0.0
**Features**
* Add conda and pip environment debug prints (using `--debug`)
* Add support for PyJWT v2
* Change the default conda channel order, so it pulls the correct `pytorch` package
* Improve k8s glue support
* Support k8s glue container env vars merging
* Add number of pods limit to k8s glue using the `max_pods_limit` argument (use `--max-pods` switch in the k8s glue example)
* Add k8s glue default `restartPolicy=Never` to template to prevent pods from restarting
* Add `--stop` switch support for dynamic gpus
* Verify `docker` command exists when running in docker mode
* Add support for terminating dockers on `sig_term` in dynamic mode
* Add stopping message on Task process termination
* Add `agent.docker_install_opencv_libs` configuration option to enable automatic opencv libs install for faster docker spin-up (default: `true`, see [here](https://github.com/allegroai/clearml-agent/blob/4f18bb7ea0600db6ee63ecb5ad0ea8d048a272ca/docs/clearml.conf#L139))
* Add support for new container base setup script feature
* Bump virtualenv dependency version (support `v>=16,<21`)
* Add support for dynamic gpus opportunistic scheduling (with min/max gpus per queue)
* Deprecate `venv_update` in configuration (replaced by the more robust `venvs_cache`)
* Add Python 3.9 to the support table
**Bug Fixes**
* Fix agent can return non-zero error code and pods will end up restarting forever - [clearml-agent GitHub Issue 56](https://github.com/allegroai/clearml-agent/issues/56)
* Fix poetry support - [clearml-agent GitHub Issue 57](https://github.com/allegroai/clearml-agent/issues/57)
* Fix cuda version from driver does not return minor version
* Fix requirements local path replace back when using cache
* Fix k8s glue
* Fix broken k8s glue docker args parsing
* Fix empty env prevents override when merging template
* Fix venv cache crash on bad symbolic links
* Fix no docker arguments provided
### ClearML Server 1.0.0
**Features**
* Add Multi-level project hierarchy - Projects can now contain sub-projects