fix lint

Author: krammnic

tests/torchtune/models/phi4/test_phi4_tokenizer.py

@@ -23,15 +23,22 @@ def tokenizer(self):
     @pytest.fixture
     def expected_tokens(self):
         # fmt: off
-        tokens = [100257, 100264, 115, 121, 322, 398, 100265, 10, 1539, 470, 258, 1444, 933, 1940, 511, 446, 100266, 10,
-        100264, 115, 121, 322, 398, 100265, 10, 66, 478, 299, 351, 362, 292, 1160, 117, 807, 334, 958, 99, 445, 98, 300, 258, 256, 281,
-        107, 46, 411, 114, 561, 258, 1156, 279, 316, 334, 604, 337, 112, 445, 1827, 512, 1080, 116, 300, 262, 1249, 524, 340, 10, 35, 35, 35, 828, 1160, 117, 807, 1037,
-        71, 1414, 534, 258, 1759, 511, 355, 285, 875, 550, 102, 1546, 265, 105, 111, 340, 10, 35, 35, 35, 408, 300, 112, 279, 316, 1037, 100266, 10, 
-        100264, 115, 121, 322, 398, 100265, 10, 73, 776, 362, 425, 1978, 274, 284, 1528, 319, 995, 505, 944, 874, 903, 1585, 616, 345, 1528, 115, 284, 1749, 803, 46, 270,
-        776, 1341, 258, 1279, 641, 563, 275, 469, 573, 284,  944, 320, 526, 962, 425, 913, 1402, 97, 356, 446, 115, 284, 1229,
-        1581, 282, 117, 276, 259, 300, 46, 270, 776, 258, 1279, 275, 288, 283, 262, 739, 1886, 284, 783, 1803, 636, 277,
-        268, 117, 316, 485, 115, 284, 302, 416, 273, 900, 46, 270, 776, 591, 630, 346, 531, 476, 505, 768, 1233, 342, 1923, 292, 522, 662, 280, 274, 913, 601, 359, 300, 44, 335, 834, 335, 
-        531, 476, 505, 604, 264, 509, 1456, 258, 771, 543, 1719, 405, 710, 665, 668, 1280, 46, 100266, 10, 100257] # noqa
+        tokens = [
+            100257, 100264, 115, 121, 322, 398, 100265, 10, 1539, 470, 258, 1444, 933, 1940, 511, 446, 100266, 10,
+            100264, 115, 121, 322, 398, 100265, 10, 66, 478, 299, 351, 362, 292, 1160, 117, 807, 334,
+            958, 99, 445, 98, 300, 258, 256, 281,
+            107, 46, 411, 114, 561, 258, 1156, 279, 316, 334, 604, 337, 112, 445, 1827, 512, 1080, 116, 300, 262, 1249,
+            524, 340, 10, 35, 35, 35, 828, 1160, 117, 807, 1037,
+            71, 1414, 534, 258, 1759, 511, 355, 285, 875, 550, 102, 1546, 265, 105, 111, 340, 10, 35,
+            35, 35, 408, 300, 112, 279, 316, 1037, 100266, 10,
+            100264, 115, 121, 322, 398, 100265, 10, 73, 776, 362, 425, 1978, 274, 284, 1528, 319, 995, 505,
+            944, 874, 903, 1585, 616, 345, 1528, 115, 284, 1749, 803, 46, 270,
+            776, 1341, 258, 1279, 641, 563, 275, 469, 573, 284, 944, 320, 526, 962, 425, 913, 1402, 97, 356, 446, 115, 284, 1229,
+            1581, 282, 117, 276, 259, 300, 46, 270, 776, 258, 1279, 275, 288, 283, 262, 739, 1886, 284, 783, 1803, 636, 277,
+            268, 117, 316, 485, 115, 284, 302, 416, 273, 900, 46, 270, 776, 591, 630, 346, 531,
+            476, 505, 768, 1233, 342, 1923, 292, 522, 662, 280, 274, 913, 601, 359, 300, 44, 335, 834, 335,
+            531, 476, 505, 604, 264, 509, 1456, 258, 771, 543, 1719, 405, 710, 665, 668, 1280, 46, 100266, 10, 100257
+        ] # noqa
         return tokens
         # fmt: on
 
@@ -81,26 +88,35 @@ def test_tokenize_messages_no_system_prompt(self, tokenizer):
                 "good conversation over coffee.",
             ),
         ]
-        tokens, mask = tokenizer.tokenize_messages(messages, ignore_system_prompt=True, add_eos=True)
+        tokens, mask = tokenizer.tokenize_messages(
+            messages, ignore_system_prompt=True, add_eos=True
+        )
 
         # fmt: off
-        expected_tokens = [100257, 100264, 115, 121, 322, 398, 100265, 10, 66, 478, 299, 351, 362, 292, 1160, 117, 807, 334, 958,
-        99, 445, 98, 300, 258, 256, 281, 107, 46, 411, 114, 561, 258, 1156, 279, 316, 334, 604, 337, 112, 445, 1827, 512, 1080, 116, 300, 262, 1249, 524, 340,
-        10, 35, 35, 35, 828, 1160, 117, 807, 1037, 71, 1414, 534, 258, 1759, 511, 355, 285, 875, 550, 102, 1546, 265, 105, 111, 340, 10, 35,
-        35, 35, 408, 300, 112, 279, 316, 1037, 100266, 10, 100264, 115, 121, 322, 398, 100265, 10, 73, 776, 362, 425, 1978, 274, 284, 1528, 319, 995,
-        505, 944, 874, 903, 1585, 616, 345, 1528, 115, 284, 1749, 803, 46, 270, 776, 1341, 258, 1279, 641, 563, 275, 469, 573, 284, 944, 320, 526, 962, 425,
-        913, 1402, 97, 356, 446, 115, 284, 1229, 1581, 282, 117, 276, 259, 300, 46, 270, 776, 258, 1279, 275, 288, 283, 262, 739, 1886, 284, 783, 1803, 636, 277, 268, 117, 316,
-        485, 115, 284, 302, 416, 273, 900, 46, 270, 776, 591, 630, 346, 531, 476, 505, 768, 1233, 342, 1923, 292, 522, 662, 280, 274, 913, 601, 359, 300, 44, 335, 834, 335, 531,
-        476, 505, 604, 264, 509, 1456, 258, 771, 543, 1719, 405, 710, 665, 668, 1280, 46, 100266, 10, 100257] # noqa
+        expected_tokens = [
+            100257, 100264, 115, 121, 322, 398, 100265, 10, 66, 478, 299, 351, 362, 292, 1160, 117, 807, 334, 958,
+            99, 445, 98, 300, 258, 256, 281, 107, 46, 411, 114, 561, 258, 1156, 279, 316, 334, 604, 337, 112, 445, 1827,
+            512, 1080, 116, 300, 262, 1249, 524, 340,
+            10, 35, 35, 35, 828, 1160, 117, 807, 1037, 71, 1414, 534, 258, 1759,
+            511, 355, 285, 875, 550, 102, 1546, 265, 105, 111, 340, 10, 35,
+            35, 35, 408, 300, 112, 279, 316, 1037, 100266, 10, 100264, 115, 121, 322, 398,
+            100265, 10, 73, 776, 362, 425, 1978, 274, 284, 1528, 319, 995,
+            505, 944, 874, 903, 1585, 616, 345, 1528, 115, 284, 1749, 803, 46,
+            270, 776, 1341, 258, 1279, 641, 563, 275, 469, 573,
+            284, 944, 320, 526, 962, 425, 913, 1402, 97, 356, 446, 115, 284, 1229, 1581, 282,
+            117, 276, 259, 300, 46, 270, 776, 258, 1279, 275, 288, 283, 262,
+            739, 1886, 284, 783, 1803, 636, 277, 268, 117, 316,
+            485, 115, 284, 302, 416, 273, 900, 46, 270, 776, 591, 630, 346, 531, 476, 505, 768, 1233, 342, 1923, 292, 522, 662, 280,
+            274, 913, 601, 359, 300, 44, 335, 834, 335, 531,
+            476, 505, 604, 264, 509, 1456, 258, 771, 543, 1719, 405, 710, 665, 668, 1280, 46, 100266, 10, 100257
+        ] # noqa
         # fmt: on
 
         expected_mask = [True] * 81 + [False] * 127
         assert expected_tokens == tokens
         assert expected_mask == mask
 
-    def test_tokenize_message_drop_eos(
-        self, tokenizer, expected_tokens
-    ):
+    def test_tokenize_message_drop_eos(self, tokenizer, expected_tokens):
         """
         Test that the tokenizer will not add an EOS token or EOT token if user requests it.
         This is the most common case for inference.
@@ -126,8 +142,8 @@ def test_tokenize_message_drop_eos(
         ]
 
         tokens, mask = tokenizer.tokenize_messages(messages, add_eos=False)
-        
+
         expected_mask = [True] * 93 + [False] * 126
-        # Drop eos token
+        # Drop eos token.
         assert expected_tokens[:-1] == tokens
         assert expected_mask == mask