






"""simple docstring"""



from collections import deque
from math import floor
from random import random
from time import time






class 							__SCREAMING_SNAKE_CASE						:


							def __init__(			self      :						List[str]							):
													'''simple docstring'''





													A__						:  str		  =  {}


							def 						_UpperCamelCase       (			self      :						Union[str, Any]			,    snake_case      :						List[Any]			,    snake_case      :						Optional[Any]			,    snake_case      :						Union[str, Any]=1							):
													'''simple docstring'''





													if self.graph.get(snake_case							):
																			if self.graph[u].count([w, v]							) == 0:
																									self.graph[u].append([w, v]							)
													else:
																			A__						:  int		  =  [[w, v]]
													if not self.graph.get(snake_case							):
																			A__						:  Optional[int]		  =  []


							def 						_UpperCamelCase       (			self      :						List[str]							):
													'''simple docstring'''





													return list(self.graph							)


							def 						_UpperCamelCase       (			self      :						Optional[int]			,    snake_case      :						List[str]			,    snake_case      :						Any							):
													'''simple docstring'''





													if self.graph.get(snake_case							):
																			for _ in self.graph[u]:
																									if _[1] == v:
																															self.graph[u].remove(snake_case							)


							def 						_UpperCamelCase       (			self      :						int			,    snake_case      :						List[str]=-2			,    snake_case      :						Optional[Any]=-1							):
													'''simple docstring'''





													if s == d:
																			return []
													A__						:  Union[str, Any]		  =  []
													A__						:  Tuple		  =  []
													if s == -2:
																			A__						:  Union[str, Any]		  =  list(self.graph							)[0]
													stack.append(snake_case							)
													visited.append(snake_case							)
													A__						:  Any		  =  s

													while True:
																			# check if there is any non isolated nodes
																			if len(self.graph[s]							) != 0:
																									A__						:  str		  =  s
																									for node in self.graph[s]:
																															if visited.count(node[1]							) < 1:
																																					if node[1] == d:
																																											visited.append(snake_case							)
																																											return visited
																																					else:
																																											stack.append(node[1]							)
																																											visited.append(node[1]							)
																																											A__						:  int		  =  node[1]
																																											break

            # check if all the children are visited
																			if s == ss:
																									stack.pop()
																									if len(snake_case							) != 0:
																															A__						:  Dict		  =  stack[len(snake_case							) - 1]
																			else:
																									A__						:  Union[str, Any]		  =  ss

																			# check if se have reached the starting point
																			if len(snake_case							) == 0:
																									return visited


							def 						_UpperCamelCase       (			self      :						Optional[int]			,    snake_case      :						List[str]=-1							):
													'''simple docstring'''





													if c == -1:
																			A__						:  Union[str, Any]		  =  floor(random() * 1_0000							) + 10
													for i in range(snake_case							):
																			# every vertex has max 100 edges
																			for _ in range(floor(random() * 102							) + 1							):
																									A__						:  int		  =  floor(random() * c							) + 1
																									if n != i:
																															self.add_pair(snake_case			,    snake_case			,    1							)


							def 						_UpperCamelCase       (			self      :						Dict			,    snake_case      :						int=-2							):
													'''simple docstring'''





													A__						:  Optional[Any]		  =  deque()
													A__						:  List[str]		  =  []
													if s == -2:
																			A__						:  Optional[int]		  =  list(self.graph							)[0]
													d.append(snake_case							)
													visited.append(snake_case							)
													while d:
																			A__						:  Optional[Any]		  =  d.popleft()
																			if len(self.graph[s]							) != 0:
																									for node in self.graph[s]:
																															if visited.count(node[1]							) < 1:
																																					d.append(node[1]							)
																																					visited.append(node[1]							)
													return visited


							def 						_UpperCamelCase       (			self      :						int			,    snake_case      :						Optional[Any]							):
													'''simple docstring'''





													A__						:  Any		  =  0
													for x in self.graph:
																			for y in self.graph[x]:
																									if y[1] == u:
																															count += 1
													return count


							def 						_UpperCamelCase       (			self      :						int			,    snake_case      :						Tuple							):
													'''simple docstring'''





													return len(self.graph[u]							)


							def 						_UpperCamelCase       (			self      :						Tuple			,    snake_case      :						Any=-2							):
													'''simple docstring'''





													A__						:  List[Any]		  =  []
													A__						:  Union[str, Any]		  =  []
													if s == -2:
																			A__						:  Tuple		  =  list(self.graph							)[0]
													stack.append(snake_case							)
													visited.append(snake_case							)
													A__						:  Dict		  =  s
													A__						:  str		  =  []

													while True:
																			# check if there is any non isolated nodes
																			if len(self.graph[s]							) != 0:
																									A__						:  str		  =  s
																									for node in self.graph[s]:
																															if visited.count(node[1]							) < 1:
																																					stack.append(node[1]							)
																																					visited.append(node[1]							)
																																					A__						:  Any		  =  node[1]
																																					break

            # check if all the children are visited
																			if s == ss:
																									sorted_nodes.append(stack.pop()							)
																									if len(snake_case							) != 0:
																															A__						:  List[Any]		  =  stack[len(snake_case							) - 1]
																			else:
																									A__						:  Dict		  =  ss

																			# check if se have reached the starting point
																			if len(snake_case							) == 0:
																									return sorted_nodes


							def 						_UpperCamelCase       (			self      :						Dict							):
													'''simple docstring'''





													A__						:  Dict		  =  []
													A__						:  Any		  =  []
													A__						:  int		  =  list(self.graph							)[0]
													stack.append(snake_case							)
													visited.append(snake_case							)
													A__						:  List[str]		  =  -2
													A__						:  List[str]		  =  []
													A__						:  Dict		  =  s
													A__						:  Union[str, Any]		  =  False
													A__						:  Any		  =  set()

													while True:
																			# check if there is any non isolated nodes
																			if len(self.graph[s]							) != 0:
																									A__						:  Optional[int]		  =  s
																									for node in self.graph[s]:
																															if (
																															    visited.count(node[1]							) > 0
																															    and node[1] != parent
																															    and indirect_parents.count(node[1]							) > 0
																															    and not on_the_way_back
																															):
																																					A__						:  Tuple		  =  len(snake_case							) - 1
																																					while len_stack >= 0:
																																											if stack[len_stack] == node[1]:
																																																	anticipating_nodes.add(node[1]							)
																																																	break
																																											else:
																																																	anticipating_nodes.add(stack[len_stack]							)
																																																	len_stack -= 1
																															if visited.count(node[1]							) < 1:
																																					stack.append(node[1]							)
																																					visited.append(node[1]							)
																																					A__						:  int		  =  node[1]
																																					break

            # check if all the children are visited
																			if s == ss:
																									stack.pop()
																									A__						:  Any		  =  True
																									if len(snake_case							) != 0:
																															A__						:  List[Any]		  =  stack[len(snake_case							) - 1]
																			else:
																									A__						:  int		  =  False
																									indirect_parents.append(snake_case							)
																									A__						:  Tuple		  =  s
																									A__						:  Optional[int]		  =  ss

																			# check if se have reached the starting point
																			if len(snake_case							) == 0:
																									return list(snake_case							)


							def 						_UpperCamelCase       (			self      :						Tuple							):
													'''simple docstring'''





													A__						:  List[Any]		  =  []
													A__						:  Union[str, Any]		  =  []
													A__						:  Union[str, Any]		  =  list(self.graph							)[0]
													stack.append(snake_case							)
													visited.append(snake_case							)
													A__						:  List[Any]		  =  -2
													A__						:  int		  =  []
													A__						:  Optional[Any]		  =  s
													A__						:  Union[str, Any]		  =  False
													A__						:  str		  =  set()

													while True:
																			# check if there is any non isolated nodes
																			if len(self.graph[s]							) != 0:
																									A__						:  Any		  =  s
																									for node in self.graph[s]:
																															if (
																															    visited.count(node[1]							) > 0
																															    and node[1] != parent
																															    and indirect_parents.count(node[1]							) > 0
																															    and not on_the_way_back
																															):
																																					A__						:  int		  =  len(snake_case							) - 1
																																					while len_stack_minus_one >= 0:
																																											if stack[len_stack_minus_one] == node[1]:
																																																	anticipating_nodes.add(node[1]							)
																																																	break
																																											else:
																																																	return True
																															if visited.count(node[1]							) < 1:
																																					stack.append(node[1]							)
																																					visited.append(node[1]							)
																																					A__						:  str		  =  node[1]
																																					break

            # check if all the children are visited
																			if s == ss:
																									stack.pop()
																									A__						:  List[str]		  =  True
																									if len(snake_case							) != 0:
																															A__						:  List[str]		  =  stack[len(snake_case							) - 1]
																			else:
																									A__						:  List[Any]		  =  False
																									indirect_parents.append(snake_case							)
																									A__						:  Optional[Any]		  =  s
																									A__						:  Optional[int]		  =  ss

																			# check if se have reached the starting point
																			if len(snake_case							) == 0:
																									return False


							def 						_UpperCamelCase       (			self      :						Optional[int]			,    snake_case      :						Optional[int]=-2			,    snake_case      :						Union[str, Any]=-1							):
													'''simple docstring'''





													A__						:  Optional[Any]		  =  time()
													self.dfs(snake_case			,    snake_case							)
													A__						:  str		  =  time()
													return end - begin


							def 						_UpperCamelCase       (			self      :						Dict			,    snake_case      :						List[str]=-2							):
													'''simple docstring'''





													A__						:  Any		  =  time()
													self.bfs(snake_case							)
													A__						:  Optional[int]		  =  time()
													return end - begin






class 							__SCREAMING_SNAKE_CASE						:


							def __init__(			self      :						int							):
													'''simple docstring'''





													A__						:  Tuple		  =  {}


							def 						_UpperCamelCase       (			self      :						Any			,    snake_case      :						str			,    snake_case      :						Union[str, Any]			,    snake_case      :						List[Any]=1							):
													'''simple docstring'''





													if self.graph.get(snake_case							):
																			# if there already is a edge
																			if self.graph[u].count([w, v]							) == 0:
																									self.graph[u].append([w, v]							)
													else:
																			# if u does not exist
																			A__						:  List[Any]		  =  [[w, v]]
													# add the other way
													if self.graph.get(snake_case							):
																			# if there already is a edge
																			if self.graph[v].count([w, u]							) == 0:
																									self.graph[v].append([w, u]							)
													else:
																			# if u does not exist
																			A__						:  List[Any]		  =  [[w, u]]


							def 						_UpperCamelCase       (			self      :						str			,    snake_case      :						Optional[int]			,    snake_case      :						Optional[Any]							):
													'''simple docstring'''





													if self.graph.get(snake_case							):
																			for _ in self.graph[u]:
																									if _[1] == v:
																															self.graph[u].remove(snake_case							)
        # the other way round
													if self.graph.get(snake_case							):
																			for _ in self.graph[v]:
																									if _[1] == u:
																															self.graph[v].remove(snake_case							)


							def 						_UpperCamelCase       (			self      :						Tuple			,    snake_case      :						int=-2			,    snake_case      :						Optional[Any]=-1							):
													'''simple docstring'''





													if s == d:
																			return []
													A__						:  Any		  =  []
													A__						:  Optional[int]		  =  []
													if s == -2:
																			A__						:  Optional[int]		  =  list(self.graph							)[0]
													stack.append(snake_case							)
													visited.append(snake_case							)
													A__						:  List[Any]		  =  s

													while True:
																			# check if there is any non isolated nodes
																			if len(self.graph[s]							) != 0:
																									A__						:  Tuple		  =  s
																									for node in self.graph[s]:
																															if visited.count(node[1]							) < 1:
																																					if node[1] == d:
																																											visited.append(snake_case							)
																																											return visited
																																					else:
																																											stack.append(node[1]							)
																																											visited.append(node[1]							)
																																											A__						:  List[Any]		  =  node[1]
																																											break

            # check if all the children are visited
																			if s == ss:
																									stack.pop()
																									if len(snake_case							) != 0:
																															A__						:  Any		  =  stack[len(snake_case							) - 1]
																			else:
																									A__						:  Optional[int]		  =  ss

																			# check if se have reached the starting point
																			if len(snake_case							) == 0:
																									return visited


							def 						_UpperCamelCase       (			self      :						List[Any]			,    snake_case      :						Tuple=-1							):
													'''simple docstring'''





													if c == -1:
																			A__						:  Union[str, Any]		  =  floor(random() * 1_0000							) + 10
													for i in range(snake_case							):
																			# every vertex has max 100 edges
																			for _ in range(floor(random() * 102							) + 1							):
																									A__						:  int		  =  floor(random() * c							) + 1
																									if n != i:
																															self.add_pair(snake_case			,    snake_case			,    1							)


							def 						_UpperCamelCase       (			self      :						Optional[Any]			,    snake_case      :						str=-2							):
													'''simple docstring'''





													A__						:  Optional[int]		  =  deque()
													A__						:  str		  =  []
													if s == -2:
																			A__						:  Optional[Any]		  =  list(self.graph							)[0]
													d.append(snake_case							)
													visited.append(snake_case							)
													while d:
																			A__						:  List[str]		  =  d.popleft()
																			if len(self.graph[s]							) != 0:
																									for node in self.graph[s]:
																															if visited.count(node[1]							) < 1:
																																					d.append(node[1]							)
																																					visited.append(node[1]							)
													return visited


							def 						_UpperCamelCase       (			self      :						Optional[int]			,    snake_case      :						int							):
													'''simple docstring'''





													return len(self.graph[u]							)


							def 						_UpperCamelCase       (			self      :						Union[str, Any]							):
													'''simple docstring'''





													A__						:  List[Any]		  =  []
													A__						:  Any		  =  []
													A__						:  int		  =  list(self.graph							)[0]
													stack.append(snake_case							)
													visited.append(snake_case							)
													A__						:  str		  =  -2
													A__						:  Any		  =  []
													A__						:  Union[str, Any]		  =  s
													A__						:  Optional[Any]		  =  False
													A__						:  Any		  =  set()

													while True:
																			# check if there is any non isolated nodes
																			if len(self.graph[s]							) != 0:
																									A__						:  str		  =  s
																									for node in self.graph[s]:
																															if (
																															    visited.count(node[1]							) > 0
																															    and node[1] != parent
																															    and indirect_parents.count(node[1]							) > 0
																															    and not on_the_way_back
																															):
																																					A__						:  Union[str, Any]		  =  len(snake_case							) - 1
																																					while len_stack >= 0:
																																											if stack[len_stack] == node[1]:
																																																	anticipating_nodes.add(node[1]							)
																																																	break
																																											else:
																																																	anticipating_nodes.add(stack[len_stack]							)
																																																	len_stack -= 1
																															if visited.count(node[1]							) < 1:
																																					stack.append(node[1]							)
																																					visited.append(node[1]							)
																																					A__						:  Optional[Any]		  =  node[1]
																																					break

            # check if all the children are visited
																			if s == ss:
																									stack.pop()
																									A__						:  List[str]		  =  True
																									if len(snake_case							) != 0:
																															A__						:  int		  =  stack[len(snake_case							) - 1]
																			else:
																									A__						:  Union[str, Any]		  =  False
																									indirect_parents.append(snake_case							)
																									A__						:  str		  =  s
																									A__						:  Optional[Any]		  =  ss

																			# check if se have reached the starting point
																			if len(snake_case							) == 0:
																									return list(snake_case							)


							def 						_UpperCamelCase       (			self      :						Any							):
													'''simple docstring'''





													A__						:  Optional[Any]		  =  []
													A__						:  Any		  =  []
													A__						:  List[Any]		  =  list(self.graph							)[0]
													stack.append(snake_case							)
													visited.append(snake_case							)
													A__						:  List[str]		  =  -2
													A__						:  List[str]		  =  []
													A__						:  Optional[int]		  =  s
													A__						:  List[str]		  =  False
													A__						:  Dict		  =  set()

													while True:
																			# check if there is any non isolated nodes
																			if len(self.graph[s]							) != 0:
																									A__						:  List[str]		  =  s
																									for node in self.graph[s]:
																															if (
																															    visited.count(node[1]							) > 0
																															    and node[1] != parent
																															    and indirect_parents.count(node[1]							) > 0
																															    and not on_the_way_back
																															):
																																					A__						:  int		  =  len(snake_case							) - 1
																																					while len_stack_minus_one >= 0:
																																											if stack[len_stack_minus_one] == node[1]:
																																																	anticipating_nodes.add(node[1]							)
																																																	break
																																											else:
																																																	return True
																															if visited.count(node[1]							) < 1:
																																					stack.append(node[1]							)
																																					visited.append(node[1]							)
																																					A__						:  Optional[int]		  =  node[1]
																																					break

            # check if all the children are visited
																			if s == ss:
																									stack.pop()
																									A__						:  Dict		  =  True
																									if len(snake_case							) != 0:
																															A__						:  List[Any]		  =  stack[len(snake_case							) - 1]
																			else:
																									A__						:  Union[str, Any]		  =  False
																									indirect_parents.append(snake_case							)
																									A__						:  Dict		  =  s
																									A__						:  Optional[Any]		  =  ss

																			# check if se have reached the starting point
																			if len(snake_case							) == 0:
																									return False


							def 						_UpperCamelCase       (			self      :						Optional[Any]							):
													'''simple docstring'''





													return list(self.graph							)


							def 						_UpperCamelCase       (			self      :						List[Any]			,    snake_case      :						str=-2			,    snake_case      :						Dict=-1							):
													'''simple docstring'''





													A__						:  Optional[int]		  =  time()
													self.dfs(snake_case			,    snake_case							)
													A__						:  Any		  =  time()
													return end - begin


							def 						_UpperCamelCase       (			self      :						Dict			,    snake_case      :						Optional[Any]=-2							):
													'''simple docstring'''





													A__						:  List[Any]		  =  time()
													self.bfs(snake_case							)
													A__						:  Tuple		  =  time()
													return end - begin














"""simple docstring"""



import unittest

from transformers import (
    MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING,
    TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING,
    TextClassificationPipeline,
    pipeline,
)
from transformers.testing_utils import is_pipeline_test, nested_simplify, require_tf, require_torch, slow

from .test_pipelines_common import ANY


# These 2 model types require different inputs than those of the usual text models.
A_    =							{'''LayoutLMv2Config''', '''LayoutLMv3Config'''}






@is_pipeline_test
class 							__SCREAMING_SNAKE_CASE						(				unittest.TestCase		):
							snake_case_     =							MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING
							snake_case_     =							TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING

							if model_mapping is not None:
														snake_case_     =							{config: model for config, model in model_mapping.items() if config.__name__ not in _TO_SKIP}
							if tf_model_mapping is not None:
														snake_case_     =							{
														    config: model for config, model in tf_model_mapping.items() if config.__name__ not in _TO_SKIP
														}


							@require_torch
							def 						_UpperCamelCase       (			self      :						Tuple							):
													'''simple docstring'''





													A__						:  Tuple		  =  pipeline(
													    task="""text-classification"""			,    model="""hf-internal-testing/tiny-random-distilbert"""			,    framework="""pt"""							)

													A__						:  Dict		  =  text_classifier("""This is great !"""							)
													self.assertEqual(nested_simplify(snake_case							)			,    [{"""label""": """LABEL_0""", """score""": 0.504}]							)

													A__						:  Optional[int]		  =  text_classifier("""This is great !"""			,    top_k=2							)
													self.assertEqual(
													    nested_simplify(snake_case							)			,    [{"""label""": """LABEL_0""", """score""": 0.504}, {"""label""": """LABEL_1""", """score""": 0.496}]							)

													A__						:  Any		  =  text_classifier(["""This is great !""", """This is bad"""]			,    top_k=2							)
													self.assertEqual(
													    nested_simplify(snake_case							)			,    [
													        [{"""label""": """LABEL_0""", """score""": 0.504}, {"""label""": """LABEL_1""", """score""": 0.496}],
													        [{"""label""": """LABEL_0""", """score""": 0.504}, {"""label""": """LABEL_1""", """score""": 0.496}],
													    ]			,    )

													A__						:  Optional[Any]		  =  text_classifier("""This is great !"""			,    top_k=1							)
													self.assertEqual(nested_simplify(snake_case							)			,    [{"""label""": """LABEL_0""", """score""": 0.504}]							)

													# Legacy behavior
													A__						:  str		  =  text_classifier("""This is great !"""			,    return_all_scores=snake_case							)
													self.assertEqual(nested_simplify(snake_case							)			,    [{"""label""": """LABEL_0""", """score""": 0.504}]							)

													A__						:  int		  =  text_classifier("""This is great !"""			,    return_all_scores=snake_case							)
													self.assertEqual(
													    nested_simplify(snake_case							)			,    [[{"""label""": """LABEL_0""", """score""": 0.504}, {"""label""": """LABEL_1""", """score""": 0.496}]]							)

													A__						:  str		  =  text_classifier(["""This is great !""", """Something else"""]			,    return_all_scores=snake_case							)
													self.assertEqual(
													    nested_simplify(snake_case							)			,    [
													        [{"""label""": """LABEL_0""", """score""": 0.504}, {"""label""": """LABEL_1""", """score""": 0.496}],
													        [{"""label""": """LABEL_0""", """score""": 0.504}, {"""label""": """LABEL_1""", """score""": 0.496}],
													    ]			,    )

													A__						:  Optional[int]		  =  text_classifier(["""This is great !""", """Something else"""]			,    return_all_scores=snake_case							)
													self.assertEqual(
													    nested_simplify(snake_case							)			,    [
													        {"""label""": """LABEL_0""", """score""": 0.504},
													        {"""label""": """LABEL_0""", """score""": 0.504},
													    ]			,    )


							@require_torch
							def 						_UpperCamelCase       (			self      :						int							):
													'''simple docstring'''





													import torch

													A__						:  Tuple		  =  pipeline(
													    task="""text-classification"""			,    model="""hf-internal-testing/tiny-random-distilbert"""			,    framework="""pt"""			,    device=torch.device("""cpu"""							)			,    )

													A__						:  List[str]		  =  text_classifier("""This is great !"""							)
													self.assertEqual(nested_simplify(snake_case							)			,    [{"""label""": """LABEL_0""", """score""": 0.504}]							)


							@require_tf
							def 						_UpperCamelCase       (			self      :						List[str]							):
													'''simple docstring'''





													A__						:  str		  =  pipeline(
													    task="""text-classification"""			,    model="""hf-internal-testing/tiny-random-distilbert"""			,    framework="""tf"""							)

													A__						:  Optional[Any]		  =  text_classifier("""This is great !"""							)
													self.assertEqual(nested_simplify(snake_case							)			,    [{"""label""": """LABEL_0""", """score""": 0.504}]							)


							@slow
							@require_torch
							def 						_UpperCamelCase       (			self      :						List[Any]							):
													'''simple docstring'''





													A__						:  Optional[int]		  =  pipeline("""text-classification"""							)

													A__						:  Optional[int]		  =  text_classifier("""This is great !"""							)
													self.assertEqual(nested_simplify(snake_case							)			,    [{"""label""": """POSITIVE""", """score""": 1.0}]							)
													A__						:  Optional[Any]		  =  text_classifier("""This is bad !"""							)
													self.assertEqual(nested_simplify(snake_case							)			,    [{"""label""": """NEGATIVE""", """score""": 1.0}]							)
													A__						:  Dict		  =  text_classifier("""Birds are a type of animal"""							)
													self.assertEqual(nested_simplify(snake_case							)			,    [{"""label""": """POSITIVE""", """score""": 0.988}]							)


							@slow
							@require_tf
							def 						_UpperCamelCase       (			self      :						Any							):
													'''simple docstring'''





													A__						:  Union[str, Any]		  =  pipeline("""text-classification"""			,    framework="""tf"""							)

													A__						:  Dict		  =  text_classifier("""This is great !"""							)
													self.assertEqual(nested_simplify(snake_case							)			,    [{"""label""": """POSITIVE""", """score""": 1.0}]							)
													A__						:  Optional[int]		  =  text_classifier("""This is bad !"""							)
													self.assertEqual(nested_simplify(snake_case							)			,    [{"""label""": """NEGATIVE""", """score""": 1.0}]							)
													A__						:  Tuple		  =  text_classifier("""Birds are a type of animal"""							)
													self.assertEqual(nested_simplify(snake_case							)			,    [{"""label""": """POSITIVE""", """score""": 0.988}]							)


							def 						_UpperCamelCase       (			self      :						Optional[Any]			,    snake_case      :						Any			,    snake_case      :						List[Any]			,    snake_case      :						Any							):
													'''simple docstring'''





													A__						:  Union[str, Any]		  =  TextClassificationPipeline(model=snake_case			,    tokenizer=snake_case							)
													return text_classifier, ["HuggingFace is in", "This is another test"]


							def 						_UpperCamelCase       (			self      :						int			,    snake_case      :						Union[str, Any]			,    snake_case      :						Dict							):
													'''simple docstring'''





													A__						:  List[str]		  =  text_classifier.model
													# Small inputs because BartTokenizer tiny has maximum position embeddings = 22
													A__						:  int		  =  """HuggingFace is in"""
													A__						:  List[Any]		  =  text_classifier(snake_case							)

													self.assertEqual(nested_simplify(snake_case							)			,    [{"""label""": ANY(snake_case							), """score""": ANY(snake_case							)}]							)
													self.assertTrue(outputs[0]["""label"""] in model.config.idalabel.values()							)

													A__						:  Any		  =  ["""HuggingFace is in """, """Paris is in France"""]
													A__						:  Any		  =  text_classifier(snake_case							)
													self.assertEqual(
													    nested_simplify(snake_case							)			,    [{"""label""": ANY(snake_case							), """score""": ANY(snake_case							)}, {"""label""": ANY(snake_case							), """score""": ANY(snake_case							)}]			,    )
													self.assertTrue(outputs[0]["""label"""] in model.config.idalabel.values()							)
													self.assertTrue(outputs[1]["""label"""] in model.config.idalabel.values()							)

													# Forcing to get all results with `top_k=None`
													# This is NOT the legacy format
													A__						:  List[Any]		  =  text_classifier(snake_case			,    top_k=snake_case							)
													A__						:  Tuple		  =  len(model.config.idalabel.values()							)
													self.assertEqual(
													    nested_simplify(snake_case							)			,    [[{"""label""": ANY(snake_case							), """score""": ANY(snake_case							)}] * N, [{"""label""": ANY(snake_case							), """score""": ANY(snake_case							)}] * N]			,    )

													A__						:  Optional[Any]		  =  {"""text""": """HuggingFace is in """, """text_pair""": """Paris is in France"""}
													A__						:  Union[str, Any]		  =  text_classifier(snake_case							)
													self.assertEqual(
													    nested_simplify(snake_case							)			,    {"""label""": ANY(snake_case							), """score""": ANY(snake_case							)}			,    )
													self.assertTrue(outputs["""label"""] in model.config.idalabel.values()							)

													# This might be used a text pair, but tokenizer + pipe interaction
													# makes it hard to understand that it's not using the pair properly
													# https://github.com/huggingface/transformers/issues/17305
													# We disabled this usage instead as it was outputting wrong outputs.
													A__						:  Tuple		  =  [["""HuggingFace is in """, """Paris is in France"""]]
													with self.assertRaises(snake_case							):
																			text_classifier(snake_case							)

													# This used to be valid for doing text pairs
													# We're keeping it working because of backward compatibility
													A__						:  List[Any]		  =  text_classifier([[["""HuggingFace is in """, """Paris is in France"""]]]							)
													self.assertEqual(
													    nested_simplify(snake_case							)			,    [{"""label""": ANY(snake_case							), """score""": ANY(snake_case							)}]			,    )
													self.assertTrue(outputs[0]["""label"""] in model.config.idalabel.values()							)






