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Parse XBRL filings from the SEC's EDGAR in Python

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This PR updates [lxml](https://pypi.org/project/lxml) from **3.7.2** to **5.2.1**. Changelog ### 5.2.1 ``` ================== Bugs fixed ---------- * LP2059910: The minimum CPU architecture for the Linux x86 binary wheels was set...

I have been trying to extract attributes from 10-K filings but I dont see many balance sheet fields (like assets) extracted even though I can see those fields in /django_sec/fixtures/normalized_fields.csv....

You need a django config like this to prevent a SQL timeout error during index imports. ``` DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': os.path.join(BASE_DIR, 'db.sqlite3'), 'CONN_MAX_AGE': 0, }...

any way you can put up a better explanation of how to use this package?

1. Parsing all the data for a specific year seems to take forever (more than a week). Is this normal ? Is there any way the script could run faster...

This PR updates [lxml](https://pypi.org/project/lxml) from **3.7.2** to **5.2.2**. Changelog ### 5.2.2 ``` ================== Bugs fixed ---------- * GH417: The ``test_feed_parser`` test could fail if ``lxml_html_clean`` was not installed. It is...

This PR updates [lxml](https://pypi.org/project/lxml) from **3.7.2** to **5.3.0**. Changelog ### 5.3.0 ``` ================== Features added -------------- * GH421: Nested ``CDATA`` sections are no longer rejected but split on output to...