




class 				__snake_case     :



				def __init__(					self					:						Dict						,		_UpperCAmelCase					:						Dict=None					)     ->			str:





								'''simple docstring'''




								_lowerCAmelCase			:			Tuple        =					data
								_lowerCAmelCase			:			Tuple        =					None



				def __repr__(					self					:						List[str]					)     ->			Tuple:





								'''simple docstring'''




								_lowerCAmelCase			:			Optional[Any]        =					""""""
								_lowerCAmelCase			:			Any        =					self
								while temp:
												string_rep += f"<{temp.data}> ---> "
												_lowerCAmelCase			:			int        =					temp.next
								string_rep += "<END>"
								return string_rep






def 							_UpperCAmelCase     (UpperCamelCase_       :       Tuple				):
				'''simple docstring'''

				# if elements_list is empty
				if not elements_list:
								raise Exception("""The Elements List is empty"""				)

				# Set first element as Head
				_lowerCAmelCase			:			str        =					Node(elements_list[0]				)
				_lowerCAmelCase			:			Tuple        =					head
				# Loop through elements from position 1
				for data in elements_list[1:]:
								_lowerCAmelCase			:			List[str]        =					Node(UpperCamelCase_				)
								_lowerCAmelCase			:			Any        =					current.next
				return head


_lowerCamelCase					:     Tuple					  =  [1, 3, 5, 3_2, 4_4, 1_2, 4_3]
print(F'''List: {list_data}''')
print("Creating Linked List from List.")
_lowerCamelCase					:     Dict					  =  make_linked_list(list_data)
print("Linked List:")





print(linked_list)



import os
import shutil
import unittest
from unittest.mock import patch

from transformers.testing_utils import CaptureStd, is_pt_tf_cross_test, require_torch







class      lowerCamelCase		(  unittest.TestCase  ):





     @patch("sys.argv"				,    ["fakeprogrampath", "env"]   )
     def 		UpperCAmelCase(self      :    Optional[Any]   )						->						Dict:
         # test transformers-cli env
         import transformers.commands.transformers_cli

         with CaptureStd() as cs:
             transformers.commands.transformers_cli.main()
         self.assertIn("Python version"				,    cs.out   )
         self.assertIn("Platform"				,    cs.out   )
         self.assertIn("Using distributed or parallel set-up in script?"				,    cs.out   )





     @is_pt_tf_cross_test
     @patch(
         "sys.argv"				,    ["fakeprogrampath", "pt-to-tf", "--model-name", "hf-internal-testing/tiny-random-gptj", "--no-pr"]   )
     def 		UpperCAmelCase(self      :    Any   )						->						int:
         import transformers.commands.transformers_cli

         shutil.rmtree("/tmp/hf-internal-testing/tiny-random-gptj"				,    ignore_errors=_A   )  # cleans potential past runs
         transformers.commands.transformers_cli.main()

         # The original repo has no TF weights -- if they exist, they were created by the CLI
         self.assertTrue(os.path.exists("/tmp/hf-internal-testing/tiny-random-gptj/tf_model.h5"   )   )





     @require_torch
     @patch("sys.argv"				,    ["fakeprogrampath", "download", "hf-internal-testing/tiny-random-gptj", "--cache-dir", "/tmp"]   )
     def 		UpperCAmelCase(self      :    Dict   )						->						List[Any]:
         import transformers.commands.transformers_cli

         # # remove any previously downloaded model to start clean
         shutil.rmtree("/tmp/models--hf-internal-testing--tiny-random-gptj"				,    ignore_errors=_A   )

         # run the command
         transformers.commands.transformers_cli.main()

         # check if the model files are downloaded correctly on /tmp/models--hf-internal-testing--tiny-random-gptj
         self.assertTrue(os.path.exists("/tmp/models--hf-internal-testing--tiny-random-gptj/blobs"   )   )
         self.assertTrue(os.path.exists("/tmp/models--hf-internal-testing--tiny-random-gptj/refs"   )   )
         self.assertTrue(os.path.exists("/tmp/models--hf-internal-testing--tiny-random-gptj/snapshots"   )   )





     @require_torch
     @patch(
         "sys.argv"				,    [
             "fakeprogrampath",
             "download",
             "hf-internal-testing/test_dynamic_model_with_tokenizer",
             "--trust-remote-code",
             "--cache-dir",
             "/tmp",
         ]				,    )
     def 		UpperCAmelCase(self      :    Any   )						->						List[str]:
         import transformers.commands.transformers_cli

         # # remove any previously downloaded model to start clean
         shutil.rmtree("/tmp/models--hf-internal-testing--test_dynamic_model_with_tokenizer"				,    ignore_errors=_A   )

         # run the command
         transformers.commands.transformers_cli.main()

         # check if the model files are downloaded correctly on /tmp/models--hf-internal-testing--test_dynamic_model_with_tokenizer
         self.assertTrue(os.path.exists("/tmp/models--hf-internal-testing--test_dynamic_model_with_tokenizer/blobs"   )   )
         self.assertTrue(os.path.exists("/tmp/models--hf-internal-testing--test_dynamic_model_with_tokenizer/refs"   )   )
         self.assertTrue(
             os.path.exists("/tmp/models--hf-internal-testing--test_dynamic_model_with_tokenizer/snapshots"   )   )

