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updating docs
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seperman committed Dec 31, 2020
1 parent 51b5c43 commit 37b9611
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2 changes: 1 addition & 1 deletion docs/conf.py
Expand Up @@ -52,7 +52,7 @@

# General information about the project.
project = 'DeepDiff'
copyright = '2015-2020, Sep Dehpour'
copyright = '2015-2021, Sep Dehpour'
author = 'Sep Dehpour'

# The version info for the project you're documenting, acts as replacement for
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3 changes: 3 additions & 0 deletions docs/diff_doc.rst
Expand Up @@ -52,6 +52,9 @@ exclude_obj_callback: function, default = None
get_deep_distance: Boolean, default = False
:ref:`get_deep_distance_label` will get you the deep distance between objects. The distance is a number between 0 and 1 where zero means there is no diff between the 2 objects and 1 means they are very different. Note that this number should only be used to compare the similarity of 2 objects and nothing more. The algorithm for calculating this number may or may not change in the future releases of DeepDiff.

group_by: String, default=None
:ref:`group_by` can be used when dealing with list of dictionaries to convert them to group them by value defined in group_by. The common use case is when reading data from a flat CSV and primary key is one of the columns in the CSV. We want to use the primary key to group the rows instead of CSV row number.

hasher: default = DeepHash.murmur3_128bit
Hash function to be used. If you don't want Murmur3, you can use Python's built-in hash function
by passing hasher=hash. This is for advanced usage and normally you don't need to modify it.
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