Repository: huggingface/transformers
Pull request: [Tests] Cleanup Janus Testcase

# What does this PR do?

For Janus Processor Tests we are importing `CHAT_TEMPLATE` from conversion which is not ideal. Hence this PR fixes that issue.

Fixes #38270
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Changed files:
filename: tests/models/janus/test_processor_janus.py
patch: @@ -20,7 +20,6 @@
 import numpy as np
 
 from transformers import AutoProcessor, AutoTokenizer, JanusProcessor
-from transformers.models.janus.convert_janus_weights_to_hf import CHAT_TEMPLATE
 from transformers.utils import is_vision_available
 
 from ...test_processing_common import ProcessorTesterMixin
@@ -45,6 +44,9 @@ def setUp(self):
             "deepseek-community/Janus-Pro-1B",
             extra_special_tokens=special_image_tokens,
         )
+        # Set the processor to use the default system prompt to False as it's used based on input modality.
+        # Hence set to False to avoid any issues in the test irrespective of inputs.
+        processor.use_default_system_prompt = False
         processor.save_pretrained(self.tmpdirname)
 
     def get_tokenizer(self, **kwargs):
@@ -53,11 +55,8 @@ def get_tokenizer(self, **kwargs):
     def get_image_processor(self, **kwargs):
         return AutoProcessor.from_pretrained(self.tmpdirname, **kwargs).image_processor
 
-    def prepare_processor_dict(self):
-        # similar to Emu3 and Qwen2VLProcessorTest, but keep the template in the convert script to avoid duplicated code
-        return {
-            "chat_template": CHAT_TEMPLATE,
-        }
+    def get_processor(self):
+        return AutoProcessor.from_pretrained(self.tmpdirname)
 
     def test_chat_template_single(self):
         """