clean up typos

Author: GiacomoPope

README.md

@@ -36,7 +36,7 @@ implementation which people can learn from.
 
 This code is not constant time, or written to be performant. Rather, it was
 written so that the python code closely follows the Kyber specification
-[specification](https://pq-crystals.org/kyber/data/kyber-specification-round3-20210804.pdf) and [FIPS 203](https://csrc.nist.gov/pubs/fips/203/final). To cryptographic guarantees are made of this work.
+[specification](https://pq-crystals.org/kyber/data/kyber-specification-round3-20210804.pdf) and [FIPS 203](https://csrc.nist.gov/pubs/fips/203/final). No cryptographic guarantees are made of this work.
 
 ## History of this Repository
 
@@ -56,11 +56,11 @@ and [`test_ml_kem.py`](tests/test_ml_kem.py).
 
 The KAT files were either downloaded or generated:
 
-1. For **Kyber**, the KAT files were generated from the projects [GitHub
+1. For **ML-KEM**, the KAT files were download from the GitHub repository
+   [usnistgov/ACVP-Server/](https://github.com/usnistgov/ACVP-Server/releases/tag/v1.1.0.35) release 1.1.0.35, and are included in `assets/ML-KEM-*` directories.
+2. For **Kyber**, the KAT files were generated from the projects [GitHub
    repository](https://github.com/pq-crystals/kyber/) and are included in
    `assets/PQCLkemKAT_*.rsp`
-2. For **ML-KEM**, the KAT files were download from the GitHub repository
-   [usnistgov/ACVP-Server/](https://github.com/usnistgov/ACVP-Server/releases/tag/v1.1.0.35) release 1.1.0.35, and are included in `assets/ML-KEM-*` directories.
 
 **Note**: for Kyber v3.02, there is a discrepancy between the specification and
 reference implementation. To ensure all KATs pass, one has to generate the

src/kyber_py/ml_kem/ml_kem.py

@@ -12,7 +12,7 @@
 class ML_KEM:
     def __init__(self, params):
         """
-        Initialise the ML-KEM with specified lattice parameters
+        Initialise the ML-KEM with specified lattice parameters.
 
         :param dict params: the lattice parameters
         """

tests/test_ml_kem.py

@@ -86,11 +86,9 @@ def test_decaps_hash_check_failure(self):
 
 class TestML_KEM_KAT(unittest.TestCase):
     """
-    Test ML_KEM levels for internal
-    consistency by generating key pairs
-    and shared secrets.
+    Test ML-KEM against test vectors collected from 
+    https://github.com/usnistgov/ACVP-Server/releases/tag/v1.1.0.35
     """
-
     def generic_keygen_kat(self, ML_KEM, index):
         with open("assets/ML-KEM-keyGen-FIPS203/internalProjection.json") as f:
             data = json.load(f)