


import argparse
import json
import logging
import os
import sys
from unittest.mock import patch

from transformers.testing_utils import TestCasePlus, get_gpu_count, slow


A      :    str		=					[
    os.path.join(os.path.dirname(__file__), dirname)
    for dirname in [
        "text-classification",
        "language-modeling",
        "summarization",
        "token-classification",
        "question-answering",
    ]
]
sys.path.extend(SRC_DIRS)


if SRC_DIRS is not None:
    import run_clm_flax
    import run_flax_glue
    import run_flax_ner
    import run_mlm_flax
    import run_qa
    import run_summarization_flax
    import run_ta_mlm_flax


logging.basicConfig(level=logging.DEBUG)

A      :    List[str]		=					logging.getLogger()

def       lowercase_		(		):

      """simple docstring"""




      lowerCamelCase__		:				Union[str, Any]    =  argparse.ArgumentParser()
      parser.add_argument("-f"						)
      lowerCamelCase__		:				Dict    =  parser.parse_args()
      return args.f

def       lowercase_		(		_A			:    Union[str, Any]    ,					_A			:    Optional[Any]="eval"						):

      """simple docstring"""




      lowerCamelCase__		:				Optional[int]    =  os.path.join(_A    ,					F"{split}_results.json"						)
      if os.path.exists(_A						):
            with open(_A    ,					"r"						) as f:
                  return json.load(_A						)
      raise ValueError(F"can't find {path}"						)


A      :    List[str]		=					logging.StreamHandler(sys.stdout)
logger.addHandler(stream_handler)







class 			_lowercase (							lowercase__):


       """simple docstring"""




       def 						lowerCAmelCase     (   self							:			Any       ):


             '''simple docstring'''



             lowerCamelCase__		:				Any    =  self.get_auto_remove_tmp_dir()
             lowerCamelCase__		:				Any    =  f"\n            run_glue.py\n            --model_name_or_path distilbert-base-uncased\n            --output_dir {tmp_dir}\n            --train_file ./tests/fixtures/tests_samples/MRPC/train.csv\n            --validation_file ./tests/fixtures/tests_samples/MRPC/dev.csv\n            --per_device_train_batch_size=2\n            --per_device_eval_batch_size=1\n            --learning_rate=1e-4\n            --eval_steps=2\n            --warmup_steps=2\n            --seed=42\n            --max_seq_length=128\n            ".split()

             with patch.object(__lowerCamelCase					,      "argv"					,      __lowerCamelCase       ):
                   run_flax_glue.main()
                   lowerCamelCase__		:				int    =  get_results(__lowerCamelCase       )
                   self.assertGreaterEqual(result["eval_accuracy"]					,      0.7_5       )





       @slow
       def 						lowerCAmelCase     (   self							:			Optional[Any]       ):


             '''simple docstring'''



             lowerCamelCase__		:				str    =  self.get_auto_remove_tmp_dir()
             lowerCamelCase__		:				Optional[Any]    =  f"\n            run_clm_flax.py\n            --model_name_or_path distilgpt2\n            --train_file ./tests/fixtures/sample_text.txt\n            --validation_file ./tests/fixtures/sample_text.txt\n            --do_train\n            --do_eval\n            --block_size 128\n            --per_device_train_batch_size 4\n            --per_device_eval_batch_size 4\n            --num_train_epochs 2\n            --logging_steps 2 --eval_steps 2\n            --output_dir {tmp_dir}\n            --overwrite_output_dir\n            ".split()

             with patch.object(__lowerCamelCase					,      "argv"					,      __lowerCamelCase       ):
                   run_clm_flax.main()
                   lowerCamelCase__		:				Tuple    =  get_results(__lowerCamelCase       )
                   self.assertLess(result["eval_perplexity"]					,      100       )





       @slow
       def 						lowerCAmelCase     (   self							:			List[Any]       ):


             '''simple docstring'''



             lowerCamelCase__		:				Optional[Any]    =  self.get_auto_remove_tmp_dir()
             lowerCamelCase__		:				str    =  f"\n            run_summarization.py\n            --model_name_or_path t5-small\n            --train_file tests/fixtures/tests_samples/xsum/sample.json\n            --validation_file tests/fixtures/tests_samples/xsum/sample.json\n            --test_file tests/fixtures/tests_samples/xsum/sample.json\n            --output_dir {tmp_dir}\n            --overwrite_output_dir\n            --num_train_epochs=3\n            --warmup_steps=8\n            --do_train\n            --do_eval\n            --do_predict\n            --learning_rate=2e-4\n            --per_device_train_batch_size=2\n            --per_device_eval_batch_size=1\n            --predict_with_generate\n        ".split()

             with patch.object(__lowerCamelCase					,      "argv"					,      __lowerCamelCase       ):
                   run_summarization_flax.main()
                   lowerCamelCase__		:				List[str]    =  get_results(__lowerCamelCase					,      split="test"       )
                   self.assertGreaterEqual(result["test_rouge1"]					,      10       )
                   self.assertGreaterEqual(result["test_rouge2"]					,      2       )
                   self.assertGreaterEqual(result["test_rougeL"]					,      7       )
                   self.assertGreaterEqual(result["test_rougeLsum"]					,      7       )





       @slow
       def 						lowerCAmelCase     (   self							:			Any       ):


             '''simple docstring'''



             lowerCamelCase__		:				int    =  self.get_auto_remove_tmp_dir()
             lowerCamelCase__		:				int    =  f"\n            run_mlm.py\n            --model_name_or_path distilroberta-base\n            --train_file ./tests/fixtures/sample_text.txt\n            --validation_file ./tests/fixtures/sample_text.txt\n            --output_dir {tmp_dir}\n            --overwrite_output_dir\n            --max_seq_length 128\n            --per_device_train_batch_size 4\n            --per_device_eval_batch_size 4\n            --logging_steps 2 --eval_steps 2\n            --do_train\n            --do_eval\n            --num_train_epochs=1\n        ".split()

             with patch.object(__lowerCamelCase					,      "argv"					,      __lowerCamelCase       ):
                   run_mlm_flax.main()
                   lowerCamelCase__		:				Optional[int]    =  get_results(__lowerCamelCase       )
                   self.assertLess(result["eval_perplexity"]					,      42       )





       @slow
       def 						lowerCAmelCase     (   self							:			int       ):


             '''simple docstring'''



             lowerCamelCase__		:				str    =  self.get_auto_remove_tmp_dir()
             lowerCamelCase__		:				List[Any]    =  f"\n            run_t5_mlm_flax.py\n            --model_name_or_path t5-small\n            --train_file ./tests/fixtures/sample_text.txt\n            --validation_file ./tests/fixtures/sample_text.txt\n            --do_train\n            --do_eval\n            --max_seq_length 128\n            --per_device_train_batch_size 4\n            --per_device_eval_batch_size 4\n            --num_train_epochs 2\n            --logging_steps 2 --eval_steps 2\n            --output_dir {tmp_dir}\n            --overwrite_output_dir\n            ".split()

             with patch.object(__lowerCamelCase					,      "argv"					,      __lowerCamelCase       ):
                   run_ta_mlm_flax.main()
                   lowerCamelCase__		:				Union[str, Any]    =  get_results(__lowerCamelCase       )
                   self.assertGreaterEqual(result["eval_accuracy"]					,      0.4_2       )





       @slow
       def 						lowerCAmelCase     (   self							:			int       ):


             '''simple docstring'''



             lowerCamelCase__		:				Optional[Any]    =  7 if get_gpu_count() > 1 else 2

             lowerCamelCase__		:				List[str]    =  self.get_auto_remove_tmp_dir()
             lowerCamelCase__		:				Optional[int]    =  f"\n            run_flax_ner.py\n            --model_name_or_path bert-base-uncased\n            --train_file tests/fixtures/tests_samples/conll/sample.json\n            --validation_file tests/fixtures/tests_samples/conll/sample.json\n            --output_dir {tmp_dir}\n            --overwrite_output_dir\n            --do_train\n            --do_eval\n            --warmup_steps=2\n            --learning_rate=2e-4\n            --logging_steps 2 --eval_steps 2\n            --per_device_train_batch_size=2\n            --per_device_eval_batch_size=2\n            --num_train_epochs={epochs}\n            --seed 7\n        ".split()

             with patch.object(__lowerCamelCase					,      "argv"					,      __lowerCamelCase       ):
                   run_flax_ner.main()
                   lowerCamelCase__		:				Optional[Any]    =  get_results(__lowerCamelCase       )
                   self.assertGreaterEqual(result["eval_accuracy"]					,      0.7_5       )
                   self.assertGreaterEqual(result["eval_f1"]					,      0.3       )





       @slow
       def 						lowerCAmelCase     (   self							:			Dict       ):


             '''simple docstring'''



             lowerCamelCase__		:				List[str]    =  self.get_auto_remove_tmp_dir()
             lowerCamelCase__		:				Optional[Any]    =  f"\n            run_qa.py\n            --model_name_or_path bert-base-uncased\n            --version_2_with_negative\n            --train_file tests/fixtures/tests_samples/SQUAD/sample.json\n            --validation_file tests/fixtures/tests_samples/SQUAD/sample.json\n            --output_dir {tmp_dir}\n            --overwrite_output_dir\n            --num_train_epochs=3\n            --warmup_steps=2\n            --do_train\n            --do_eval\n            --logging_steps 2 --eval_steps 2\n            --learning_rate=2e-4\n            --per_device_train_batch_size=2\n            --per_device_eval_batch_size=1\n        ".split()

             with patch.object(__lowerCamelCase					,      "argv"					,      __lowerCamelCase       ):
                   run_qa.main()
                   lowerCamelCase__		:				Dict    =  get_results(__lowerCamelCase       )
                   self.assertGreaterEqual(result["eval_f1"]					,      30       )
                   self.assertGreaterEqual(result["eval_exact"]					,      30       )






class 			_lowercase :


       """simple docstring"""




       def __init__(   self							:			Any					,      __lowerCamelCase							:			int       ):


             '''simple docstring'''



             lowerCamelCase__		:				List[str]    =  n
             lowerCamelCase__		:				Union[str, Any]    =  [None] * self.n
             lowerCamelCase__		:				List[str]    =  0  # index of the first element
             lowerCamelCase__		:				Any    =  0
             lowerCamelCase__		:				Any    =  0





       def __len__(   self							:			Tuple       ):


             '''simple docstring'''



             return self.size





       def 						lowerCAmelCase     (   self							:			Optional[int]       ):


             '''simple docstring'''



             return self.size == 0





       def 						lowerCAmelCase     (   self							:			Union[str, Any]       ):


             '''simple docstring'''



             return False if self.is_empty() else self.array[self.front]





       def 						lowerCAmelCase     (   self							:			str					,      __lowerCamelCase							:			List[str]       ):


             '''simple docstring'''



             if self.size >= self.n:
                   raise Exception("QUEUE IS FULL"       )

             lowerCamelCase__		:				Optional[Any]    =  data
             lowerCamelCase__		:				Tuple    =  (self.rear + 1) % self.n
             self.size += 1
             return self





       def 						lowerCAmelCase     (   self							:			Tuple       ):


             '''simple docstring'''



             if self.size == 0:
                   raise Exception("UNDERFLOW"       )

             lowerCamelCase__		:				Any    =  self.array[self.front]
             lowerCamelCase__		:				List[Any]    =  None
             lowerCamelCase__		:				str    =  (self.front + 1) % self.n
             self.size -= 1
             return temp


