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[DATALAD RUNCMD] run codespell throughout
=== Do not change lines below === { "chain": [], "cmd": "codespell -w", "exit": 0, "extra_inputs": [], "inputs": [], "outputs": [], "pwd": "." } ^^^ Do not change lines above ^^^
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CHANGELOG.md

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- Fixed - Fix queries with backslashes ([#999](https://github.com/datajoint/datajoint-python/issues/999)) PR [#1052](https://github.com/datajoint/datajoint-python/pull/1052)
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### 0.13.7 -- Jul 13, 2022
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- Fixed - Fix networkx incompatable change by version pinning to 2.6.3 (#1035) PR #1036
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- Fixed - Fix networkx incompatible change by version pinning to 2.6.3 (#1035) PR #1036
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- Added - Support for serializing numpy datetime64 types (#1022) PR #1036
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- Changed - Add traceback to default logging PR #1036
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datajoint/__init__.py

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"""
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DataJoint for Python is a framework for building data piplines using MySQL databases
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DataJoint for Python is a framework for building data pipelines using MySQL databases
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to represent pipeline structure and bulk storage systems for large objects.
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DataJoint is built on the foundation of the relational data model and prescribes a
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consistent method for organizing, populating, and querying data.

datajoint/autopopulate.py

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def _jobs_to_do(self, restrictions):
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"""
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:return: the query yeilding the keys to be computed (derived from self.key_source)
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:return: the query yielding the keys to be computed (derived from self.key_source)
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"""
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if self.restriction:
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raise DataJointError(

datajoint/blob.py

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)
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def read_struct(self):
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"""deserialize matlab stuct"""
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"""deserialize matlab struct"""
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n_dims = self.read_value()
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shape = self.read_value(count=n_dims)
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n_elem = np.prod(shape, dtype=int)

datajoint/connection.py

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:param init_fun: initialization function
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:param reset: whether the connection should be reset or not
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:param use_tls: TLS encryption option. Valid options are: True (required), False
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(required no TLS), None (TLS prefered, default), dict (Manually specify values per
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(required no TLS), None (TLS preferred, default), dict (Manually specify values per
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https://dev.mysql.com/doc/refman/5.7/en/connection-options.html#encrypted-connection-options).
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"""
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if not hasattr(conn, "connection") or reset:

datajoint/schemas.py

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def ordered_dir(class_):
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"""
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List (most) attributes of the class including inherited ones, similar to `dir` build-in function,
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List (most) attributes of the class including inherited ones, similar to `dir` built-in function,
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but respects order of attribute declaration as much as possible.
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:param class_: class to list members for

datajoint/table.py

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def parts(self, as_objects=False):
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"""
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return part tables either as entries in a dict with foreign key informaiton or a list of objects
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return part tables either as entries in a dict with foreign key information or a list of objects
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:param as_objects: if False (default), the output is a dict describing the foreign keys. If True, return table objects.
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"""

docs/src/develop.md

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Jupyter notebooks are supported in this environment. This means that when you `import datajoint`, it will use the current state of the source.
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Be sure to see the reference documenation if you are new to [running Jupyter notebooks w/ VSCode](https://code.visualstudio.com/docs/datascience/jupyter-notebooks#_create-or-open-a-jupyter-notebook).
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Be sure to see the reference documentation if you are new to [running Jupyter notebooks w/ VSCode](https://code.visualstudio.com/docs/datascience/jupyter-notebooks#_create-or-open-a-jupyter-notebook).
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### Debugger
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docs/src/existing-pipelines.md

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While `spawn_missing_classes` creates the new classes in the local namespace, it is
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often more convenient to import a schema with its Python module, equivalent to the
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Python command. We can mimmick this import without having access to the schema using
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Python command. We can mimic this import without having access to the schema using
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the `VirtualModule` class object:
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```python

docs/src/faq.md

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## Can I use DataJoint with my current database?
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Researchers use many different tools to keep records, from simple formalized file
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heirarchies to complete software packages for colony management and standard file types
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hierarchies to complete software packages for colony management and standard file types
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like NWB. Existing projects have built interfaces with many such tools, such as
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[PyRAT](https://github.com/SFB1089/adamacs/blob/main/notebooks/03_pyrat_insert.ipynb).
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The only requirement for interface is that tool has an open API. Contact

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