




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


lowerCamelCase       :	List[Any]									=     [
    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)

lowerCamelCase       :	Tuple									=     logging.getLogger()

def     _SCREAMING_SNAKE_CASE    (							):


      '''simple docstring'''



      lowerCamelCase_	  =					argparse.ArgumentParser()
      parser.add_argument('-f'  )
      lowerCamelCase_	  =					parser.parse_args()
      return args.f

def     _SCREAMING_SNAKE_CASE    (							lowercase			: Optional[Any]			,							lowercase			: Dict="eval"  ):


      '''simple docstring'''



      lowerCamelCase_	  =					os.path.join(lowercase			,							f"""{split}_results.json"""  )
      if os.path.exists(lowercase  ):
            with open(lowercase			,							'r'  ) as f:
                  return json.load(lowercase  )
      raise ValueError(f"""can't find {path}"""  )


lowerCamelCase       :	str									=     logging.StreamHandler(sys.stdout)
logger.addHandler(stream_handler)







class 						A(		UpperCamelCase     ):



 '''simple docstring'''


 def        a__				(       self      :						Union[str, Any]						)     ->			List[str]:

       """simple docstring"""






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

       with patch.object(A_		,							'argv'		,							A_						):
             run_flax_glue.main()
             lowerCamelCase_	  =					get_results(A_						)
             self.assertGreaterEqual(result['eval_accuracy']		,							0.75						)

 @slow
 def        a__				(       self      :						List[str]						)     ->			Union[str, Any]:

       """simple docstring"""






       lowerCamelCase_	  =					self.get_auto_remove_tmp_dir()
       lowerCamelCase_	  =					f"""
            run_clm_flax.py
            --model_name_or_path distilgpt2
            --train_file ./tests/fixtures/sample_text.txt
            --validation_file ./tests/fixtures/sample_text.txt
            --do_train
            --do_eval
            --block_size 128
            --per_device_train_batch_size 4
            --per_device_eval_batch_size 4
            --num_train_epochs 2
            --logging_steps 2 --eval_steps 2
            --output_dir {tmp_dir}
            --overwrite_output_dir
            """.split()

       with patch.object(A_		,							'argv'		,							A_						):
             run_clm_flax.main()
             lowerCamelCase_	  =					get_results(A_						)
             self.assertLess(result['eval_perplexity']		,							100						)

 @slow
 def        a__				(       self      :						str						)     ->			Tuple:

       """simple docstring"""






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

       with patch.object(A_		,							'argv'		,							A_						):
             run_summarization_flax.main()
             lowerCamelCase_	  =					get_results(A_		,							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        a__				(       self      :						Optional[int]						)     ->			str:

       """simple docstring"""






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

       with patch.object(A_		,							'argv'		,							A_						):
             run_mlm_flax.main()
             lowerCamelCase_	  =					get_results(A_						)
             self.assertLess(result['eval_perplexity']		,							42						)

 @slow
 def        a__				(       self      :						Optional[Any]						)     ->			Union[str, Any]:

       """simple docstring"""






       lowerCamelCase_	  =					self.get_auto_remove_tmp_dir()
       lowerCamelCase_	  =					f"""
            run_t5_mlm_flax.py
            --model_name_or_path t5-small
            --train_file ./tests/fixtures/sample_text.txt
            --validation_file ./tests/fixtures/sample_text.txt
            --do_train
            --do_eval
            --max_seq_length 128
            --per_device_train_batch_size 4
            --per_device_eval_batch_size 4
            --num_train_epochs 2
            --logging_steps 2 --eval_steps 2
            --output_dir {tmp_dir}
            --overwrite_output_dir
            """.split()

       with patch.object(A_		,							'argv'		,							A_						):
             run_ta_mlm_flax.main()
             lowerCamelCase_	  =					get_results(A_						)
             self.assertGreaterEqual(result['eval_accuracy']		,							0.42						)

 @slow
 def        a__				(       self      :						int						)     ->			Tuple:

       """simple docstring"""






       lowerCamelCase_	  =					7 if get_gpu_count() > 1 else 2

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

       with patch.object(A_		,							'argv'		,							A_						):
             run_flax_ner.main()
             lowerCamelCase_	  =					get_results(A_						)
             self.assertGreaterEqual(result['eval_accuracy']		,							0.75						)
             self.assertGreaterEqual(result['eval_f1']		,							0.3						)





 @slow
 def        a__				(       self      :						str						)     ->			int:

       """simple docstring"""






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

       with patch.object(A_		,							'argv'		,							A_						):
             run_qa.main()
             lowerCamelCase_	  =					get_results(A_						)
             self.assertGreaterEqual(result['eval_f1']		,							30						)
             self.assertGreaterEqual(result['eval_exact']		,							30						)









class 						A:



 '''simple docstring'''


 def __init__(       self      :						Dict						)     ->			Optional[int]:

       """simple docstring"""






       lowerCamelCase_	  =					0
       lowerCamelCase_	  =					0
       lowerCamelCase_	  =					{}

 def        a__				(       self      :						Union[str, Any]		,							A_      :						List[Any]						)     ->			int:

       """simple docstring"""






       if vertex not in self.adjacency:
             lowerCamelCase_	  =					{}
             self.num_vertices += 1

 def        a__				(       self      :						int		,							A_      :						int		,							A_      :						Optional[Any]		,							A_      :						List[str]						)     ->			Tuple:

       """simple docstring"""






       self.add_vertex(A_						)
       self.add_vertex(A_						)

       if head == tail:
             return

       lowerCamelCase_	  =					weight
       lowerCamelCase_	  =					weight

 def        a__				(       self      :						Optional[int]						)     ->			List[str]:

       """simple docstring"""






       lowerCamelCase_	  =					self.get_edges()
       for edge in edges:
             lowerCamelCase_  ,       lowerCamelCase_  ,       lowerCamelCase_	  =					edge
             edges.remove((tail, head, weight)						)
       for i in range(len(A_						)						):
             lowerCamelCase_	  =					list(edges[i]						)

       edges.sort(key=lambda A_						: e[2]						)
       for i in range(len(A_						) - 1						):
             if edges[i][2] >= edges[i + 1][2]:
                   lowerCamelCase_	  =					edges[i][2] + 1
       for edge in edges:
             lowerCamelCase_  ,       lowerCamelCase_  ,       lowerCamelCase_	  =					edge
             lowerCamelCase_	  =					weight
             lowerCamelCase_	  =					weight

 def __str__(       self      :						str						)     ->			Optional[int]:

       """simple docstring"""






       lowerCamelCase_	  =					''
       for tail in self.adjacency:
             for head in self.adjacency[tail]:
                   lowerCamelCase_	  =					self.adjacency[head][tail]
                   string += f"""{head} -> {tail} == {weight}\n"""
       return string.rstrip('\n'						)

 def        a__				(       self      :						Union[str, Any]						)     ->			Union[str, Any]:

       """simple docstring"""






       lowerCamelCase_	  =					[]
       for tail in self.adjacency:
             for head in self.adjacency[tail]:
                   output.append((tail, head, self.adjacency[head][tail])						)
       return output

 def        a__				(       self      :						List[str]						)     ->			int:

       """simple docstring"""






       return self.adjacency.keys()

 @staticmethod
 def        a__				(       A_      :						Optional[Any]=None		,							A_      :						List[str]=None						)     ->			List[str]:

       """simple docstring"""






       lowerCamelCase_	  =					Graph()
       if vertices is None:
             lowerCamelCase_	  =					[]
       if edges is None:
             lowerCamelCase_	  =					[]
       for vertex in vertices:
             g.add_vertex(A_						)
       for edge in edges:
             g.add_edge(*A_						)
       return g







 class 						A:



  '''simple docstring'''


  def __init__(       self      :						Optional[int]						)     ->			int:

        """simple docstring"""






        lowerCamelCase_	  =					{}
        lowerCamelCase_	  =					{}

  def __len__(       self      :						Any						)     ->			List[str]:

        """simple docstring"""






        return len(self.parent						)

  def        a__				(       self      :						List[str]		,							A_      :						Any						)     ->			Dict:

        """simple docstring"""






        if item in self.parent:
              return self.find(A_						)

        lowerCamelCase_	  =					item
        lowerCamelCase_	  =					0
        return item

  def        a__				(       self      :						List[str]		,							A_      :						Tuple						)     ->			Optional[int]:

        """simple docstring"""






        if item not in self.parent:
              return self.make_set(A_						)
        if item != self.parent[item]:
              lowerCamelCase_	  =					self.find(self.parent[item]						)
        return self.parent[item]





  def        a__				(       self      :						Any		,							A_      :						int		,							A_      :						Tuple						)     ->			Union[str, Any]:

        """simple docstring"""






        lowerCamelCase_	  =					self.find(A_						)
        lowerCamelCase_	  =					self.find(A_						)

        if roota == roota:
              return roota

        if self.rank[roota] > self.rank[roota]:
              lowerCamelCase_	  =					roota
              return roota

        if self.rank[roota] < self.rank[roota]:
              lowerCamelCase_	  =					roota
              return roota

        if self.rank[roota] == self.rank[roota]:
              self.rank[roota] += 1
              lowerCamelCase_	  =					roota
              return roota
        return None

 @staticmethod
 def        a__				(       A_      :						int						)     ->			Tuple:

       """simple docstring"""






       lowerCamelCase_	  =					graph.num_vertices

       lowerCamelCase_	  =					Graph.UnionFind()
       lowerCamelCase_	  =					[]
       while num_components > 1:
             lowerCamelCase_	  =					{}
             for vertex in graph.get_vertices():
                   lowerCamelCase_	  =					-1

             lowerCamelCase_	  =					graph.get_edges()
             for edge in edges:
                   lowerCamelCase_  ,       lowerCamelCase_  ,       lowerCamelCase_	  =					edge
                   edges.remove((tail, head, weight)						)
             for edge in edges:
                   lowerCamelCase_  ,       lowerCamelCase_  ,       lowerCamelCase_	  =					edge
                   lowerCamelCase_	  =					union_find.find(A_						)
                   lowerCamelCase_	  =					union_find.find(A_						)
                   if seta != seta:
                         if cheap_edge[seta] == -1 or cheap_edge[seta][2] > weight:
                               lowerCamelCase_	  =					[head, tail, weight]

                         if cheap_edge[seta] == -1 or cheap_edge[seta][2] > weight:
                               lowerCamelCase_	  =					[head, tail, weight]
             for vertex in cheap_edge:
                   if cheap_edge[vertex] != -1:
                         lowerCamelCase_  ,       lowerCamelCase_  ,       lowerCamelCase_	  =					cheap_edge[vertex]
                         if union_find.find(A_						) != union_find.find(A_						):
                               union_find.union(A_		,							A_						)
                               mst_edges.append(cheap_edge[vertex]						)
                               lowerCamelCase_	  =					num_components - 1
       lowerCamelCase_	  =					Graph.build(edges=A_						)
       return mst



