Add __eq__ to Taxon

README.md

@@ -26,7 +26,6 @@ import taxopy
 
 First you need to download taxonomic information from NCBI's servers and put this data into a `TaxDb` object:
 
-
 ```python
 taxdb = taxopy.TaxDb()
 # You can also use your own set of taxonomy files:
@@ -37,7 +36,6 @@ taxdb = taxopy.TaxDb(nodes_dmp="taxdb/nodes.dmp", names_dmp="taxdb/names.dmp", m
 
 The `TaxDb` object stores the name, rank and parent-child relationships of each taxonomic identifier:
 
-
 ```python
 print(taxdb.taxid2name[2])
 print(taxdb.taxid2parent[2])
@@ -48,20 +46,16 @@ print(taxdb.taxid2rank[2])
     131567
     superkingdom
 
-
 If you want to retrieve the new taxonomic identifier of a legacy identifier you can use the `oldtaxid2newtaxid` attribute:
 
-
 ```python
 print(taxdb.oldtaxid2newtaxid[260])
 ```
 
     143224
 
-
 To get information of a given taxon you can create a `Taxon` object using its taxonomic identifier:
 
-
 ```python
 saccharomyces = taxopy.Taxon(4930, taxdb)
 human = taxopy.Taxon(9606, taxdb)
@@ -71,7 +65,6 @@ lagomorpha = taxopy.Taxon(9975, taxdb)
 
 Each `Taxon` object stores a variety of information, such as the rank, identifier and name of the input taxon, and the identifiers and names of all the parent taxa:
 
-
 ```python
 print(lagomorpha.rank)
 print(lagomorpha.name)
@@ -99,18 +92,15 @@ print(lagomorpha_parent.name)
 
 You can get the lowest common ancestor of a list of taxa using the `find_lca` function:
 
-
 ```python
 human_lagomorpha_lca = taxopy.find_lca([human, lagomorpha], taxdb)
 print(human_lagomorpha_lca.name)
 ```
 
     Euarchontoglires
 
-
 You may also use the `find_majority_vote` to discover the most specific taxon that is shared by more than half of the lineages of a list of taxa:
 
-
 ```python
 majority_vote = taxopy.find_majority_vote([human, gorilla, lagomorpha], taxdb)
 print(majority_vote.name)

taxopy/core.py

@@ -322,15 +322,6 @@ def parent(self, taxdb) -> Taxon:
         parent_taxid = taxdb.taxid2parent[self.taxid]
         return Taxon(parent_taxid, taxdb)
 
-    def __str__(self) -> str:
-        lineage = [
-            f"{rank[0]}__{name}" for rank, name in self.rank_name_dictionary.items()
-        ]
-        return ";".join(reversed(lineage))
-
-    def __repr__(self) -> str:
-        return str(self)
-
     def _find_lineage(self, taxid2parent):
         current_taxid = self.taxid
         lineage = [current_taxid]
@@ -352,6 +343,20 @@ def _convert_to_rank_dictionary(self, taxid2rank, taxid2name):
                 rank_name_dictionary[rank] = taxid2name[taxid]
         return rank_taxid_dictionary, rank_name_dictionary
 
+    def __str__(self) -> str:
+        lineage = [
+            f"{rank[0]}__{name}" for rank, name in self.rank_name_dictionary.items()
+        ]
+        return ";".join(reversed(lineage))
+
+    def __repr__(self) -> str:
+        return str(self)
+
+    def __eq__(self, other: object) -> bool:
+        if other.__class__ is not self.__class__:
+            return NotImplemented
+        return self.taxid_lineage == other.taxid_lineage
+
 
 class _AggregatedTaxon(Taxon):
     """