
'''simple docstring'''

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 		_a     (							unittest.TestCase  ):







   """simple docstring"""




   @patch('sys.argv'    ,['fakeprogrampath', 'env']      )
   def 					__a			(       self      ):
    # 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 					__a			(       self      ):
    import transformers.commands.transformers_cli

    shutil.rmtree('/tmp/hf-internal-testing/tiny-random-gptj'    ,ignore_errors=__SCREAMING_SNAKE_CASE      )  # 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 					__a			(       self      ):
    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=__SCREAMING_SNAKE_CASE      )

    # 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 					__a			(       self      ):
    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=__SCREAMING_SNAKE_CASE      )

    # 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'      )      )




'''simple docstring'''

def        SCREAMING_SNAKE_CASE_  (	snake_case_				:	str = "mytext.txt"   ,     snake_case_				:	bool = False							)       ->	None:
 import socket

 SCREAMING_SNAKE_CASE  :  Optional[int]								=		1_2312  # Reserve a port for your service.
 SCREAMING_SNAKE_CASE  :  Any								=		socket.socket()  # Create a socket object
 SCREAMING_SNAKE_CASE  :  int								=		socket.gethostname()  # Get local machine name
 sock.bind((host, port)							)  # Bind to the port
 sock.listen(5							)  # Now wait for client connection.

 print('Server listening....'							)

 while True:
  SCREAMING_SNAKE_CASE				, SCREAMING_SNAKE_CASE  :  Optional[Any]								=		sock.accept()  # Establish connection with client.
  print(f"""Got connection from {addr}"""							)
  SCREAMING_SNAKE_CASE  :  Optional[Any]								=		conn.recv(1024							)
  print(f"""Server received: {data = }"""							)

  with open(snake_case_   ,     'rb'							) as in_file:
   SCREAMING_SNAKE_CASE  :  Optional[Any]								=		in_file.read(1024							)
   while data:
    conn.send(snake_case_							)
    print(f"""Sent {data!r}"""							)
    SCREAMING_SNAKE_CASE  :  List[Any]								=		in_file.read(1024							)

  print('Done sending'							)
  conn.close()
  if testing:  # Allow the test to complete
   break

 sock.shutdown(1							)
 sock.close()


if __name__ == "__main__":
   send_file()


