Update remaining hashes

Author: astrofrog

tests/baseline/hashes/mpl20_ft261.json

@@ -13,7 +13,7 @@
   "test.test_modified": "54f6cf83d5b06fa2ecb7fa23d6e87898679178ef5d0dfdd2551a139f1932127b",
   "test.test_new": "54f6cf83d5b06fa2ecb7fa23d6e87898679178ef5d0dfdd2551a139f1932127b",
   "test.test_unmodified": "54f6cf83d5b06fa2ecb7fa23d6e87898679178ef5d0dfdd2551a139f1932127b",
-  "test_formats.test_format_eps": "396d67b9a51519a312903e817211abef713151225deeb6735cca6059ace3ca4e",
-  "test_formats.test_format_pdf": "a73ea1bd1a9edc68da280240a080c3b8ae11a3b1170d27f7229e95ba3019c098",
+  "test_formats.test_format_eps": "d43d276873ee3a46e4dfc86feba5b814a76fa72163dfc6e9624a2750ff625f2f",
+  "test_formats.test_format_pdf": "917a633ed43b288ecd4ccad64c2f61eee5f2a1b6383a808572dd5a63671298f6",
   "test_formats.test_format_png": "480062c2239ed9d70e361d1a5b578dc2aa756971161ac6e7287b492ae6118c59"
 }

tests/baseline/hashes/mpl21_ft261.json

@@ -13,7 +13,7 @@
   "test.test_modified": "14d326881467bc613e6504b87bd7d556a5e58668ff16b896fa3c15745cfb6336",
   "test.test_new": "14d326881467bc613e6504b87bd7d556a5e58668ff16b896fa3c15745cfb6336",
   "test.test_unmodified": "14d326881467bc613e6504b87bd7d556a5e58668ff16b896fa3c15745cfb6336",
-  "test_formats.test_format_eps": "da67357559501ff4afae72acede897d75d968ba0c4573dcd7ff992cfa72e49d4",
-  "test_formats.test_format_pdf": "9098ce368ec6e20951e9305fcb7da05a3f10169d270c84d8da3331371c6596bc",
+  "test_formats.test_format_eps": "f8a0fbb33dcd473ef5cfdd69317db6eb58d64a7f5f3b5072e0de69aa9e201224",
+  "test_formats.test_format_pdf": "82b2b58fc3a74591c85cdf2f06b2f72dfc154820fca98e7cfd5cb6904ed60b23",
   "test_formats.test_format_png": "d577a3c8c7550413d8d50bc26a68f3e8d9c35d4763c52cbcc15df4f61c8406b2"
 }

tests/baseline/hashes/mpl22_ft261.json

@@ -13,7 +13,7 @@
   "test.test_modified": "80e0ee6df7cf7d9d9407395a25af30beb8763e98820a7be972764899246d2cd7",
   "test.test_new": "80e0ee6df7cf7d9d9407395a25af30beb8763e98820a7be972764899246d2cd7",
   "test.test_unmodified": "80e0ee6df7cf7d9d9407395a25af30beb8763e98820a7be972764899246d2cd7",
-  "test_formats.test_format_eps": "da67357559501ff4afae72acede897d75d968ba0c4573dcd7ff992cfa72e49d4",
-  "test_formats.test_format_pdf": "9098ce368ec6e20951e9305fcb7da05a3f10169d270c84d8da3331371c6596bc",
+  "test_formats.test_format_eps": "f8a0fbb33dcd473ef5cfdd69317db6eb58d64a7f5f3b5072e0de69aa9e201224",
+  "test_formats.test_format_pdf": "8963ba9209080091c0961553bdf195cdcd0f2ba29081a122f9aad8e94c444aff",
   "test_formats.test_format_png": "d577a3c8c7550413d8d50bc26a68f3e8d9c35d4763c52cbcc15df4f61c8406b2"
 }

tests/baseline/hashes/mpl30_ft261.json

@@ -13,7 +13,7 @@
   "test.test_modified": "6e2e4ba7b77caf62df24f6b92d6fc51ab1b837bf98039750334f65c0a6c5d898",
   "test.test_new": "6e2e4ba7b77caf62df24f6b92d6fc51ab1b837bf98039750334f65c0a6c5d898",
   "test.test_unmodified": "6e2e4ba7b77caf62df24f6b92d6fc51ab1b837bf98039750334f65c0a6c5d898",
-  "test_formats.test_format_eps": "8ad5b5795b65e16790d1b57889540597fe18f164ddc38f50086f29e725b5c223",
-  "test_formats.test_format_pdf": "18858c67f1362e6d53975b66ffc221bda0c9f714185851fbf714bd73f0a80729",
+  "test_formats.test_format_eps": "f8a0fbb33dcd473ef5cfdd69317db6eb58d64a7f5f3b5072e0de69aa9e201224",
+  "test_formats.test_format_pdf": "8963ba9209080091c0961553bdf195cdcd0f2ba29081a122f9aad8e94c444aff",
   "test_formats.test_format_png": "d577a3c8c7550413d8d50bc26a68f3e8d9c35d4763c52cbcc15df4f61c8406b2"
 }

tests/test_pytest_mpl.py

@@ -688,7 +688,7 @@ def test_formats(pytester, use_hash_library, passes, file_format):
     if use_hash_library and MPL_VERSION >= Version('3.4'):
         pytest.skip('No hash library for Matplotlib >= 3.4')
 
-    if use_hash_library and file_format != 'png' and not sys.platform.startswith('linux'):
+    if use_hash_library and not sys.platform.startswith('linux'):
         pytest.skip('Hashes for vector graphics are only provided in the hash library for Linux')
 
     if file_format != 'png' and file_format not in converter: