Covalent

Latest version: v0.232.0.post1

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0.15.7

Fixed

- Functions with multi-line or really long decorators are properly serialized in dispatch_source.py.
- Multi-line Covalent output is properly commented out in dispatch_source.py.

0.15.6

Fixed

- Sub-lattice functions are successfully serialized in the utils.py get_serialized_function_str.

Added

- Function to scan utilized source files and return a set of imported modules (utils.get_imports_from_source)

0.15.5

Changed

- UI runs on port 47007 and the dispatcher runs on port 48008. This is so that when the servers are later merged, users continue using port 47007 in the browser.
- Small modifications to the documentation
- Small fix to the README

Removed

- Removed a directory `generated` which was improperly added
- Dispatcher web interface
- sqlalchemy requirement

0.15.4

Changed

- In file `covalent/executor/base.py`, `pickle` was changed to `cloudpickle` because of its universal pickling ability.

Added

- In docstring of `BaseExecutor`, a note was added specifying that `covalent` with its dependencies is assumed to be installed in the conda environments.
- Above note was also added to the conda env selector how-to.

0.15.3

Changed

- Replaced the generic `RuntimeError` telling users to check if there is an object manipulation taking place inside the lattice to a simple warning. This makes the original error more visible.

0.15.2

Added

- If condition added for handling the case where `__getattr__` of an electron is accessed to detect magic functions.

Changed

- `ActiveLatticeManager` now subclasses from `threading.local` to make it thread-safe.
- `ValueError` in the lattice manager's `claim` function now also shows the name of the lattice that is currently claimed.
- Changed docstring of `ActiveLatticeManager` to note that now it is thread-safe.
- Sublattice dispatching now no longer deletes the result object file and is dispatched normally instead of in a serverless manner.
- `simulate_nitrogen_and_copper_slab_interaction.ipynb` notebook tutorial now does normal dispatching as well instead of serverless dispatching. Also, now 7 datapoints will be shown instead of 10 earlier.

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