





from queue import Queue
from typing import TYPE_CHECKING, Optional


if TYPE_CHECKING:
		from ..models.auto import AutoTokenizer

class 		snake_case_   :







	'''simple docstring'''




	def    UpperCAmelCase			(						self							:     List[Any]					,      __lowerCamelCase							:     Tuple   )       -> int:

			'''simple docstring'''




			raise NotImplementedError()






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

			'''simple docstring'''




			raise NotImplementedError()





class 		snake_case_   (							UpperCAmelCase_						):







	'''simple docstring'''




	def __init__(						self							:     Tuple					,      __lowerCamelCase							:     "AutoTokenizer"					,      __lowerCamelCase							:     bool = False					,      **__lowerCamelCase							:     Optional[int]   )       -> Any:

			'''simple docstring'''




			__lowercase											=     tokenizer
			__lowercase											=     skip_prompt
			__lowercase											=     decode_kwargs

			# variables used in the streaming process
			__lowercase											=     []
			__lowercase											=     0
			__lowercase											=     True




	def    UpperCAmelCase			(						self							:     List[Any]					,      __lowerCamelCase							:     Optional[Any]   )       -> Tuple:

			'''simple docstring'''




			if len(value.shape   ) > 1 and value.shape[0] > 1:
					raise ValueError('TextStreamer only supports batch size 1'   )
			elif len(value.shape   ) > 1:
					__lowercase											=     value[0]

			if self.skip_prompt and self.next_tokens_are_prompt:
					__lowercase											=     False
					return

			# Add the new token to the cache and decodes the entire thing.
			self.token_cache.extend(value.tolist()   )
			__lowercase											=     self.tokenizer.decode(self.token_cache					,      **self.decode_kwargs   )

			# After the symbol for a new line, we flush the cache.
			if text.endswith('\n'   ):
					__lowercase											=     text[self.print_len :]
					__lowercase											=     []
					__lowercase											=     0
			# If the last token is a CJK character, we print the characters.
			elif len(__lowerCamelCase   ) > 0 and self._is_chinese_char(ord(text[-1]   )   ):
					__lowercase											=     text[self.print_len :]
					self.print_len += len(__lowerCamelCase   )
			# Otherwise, prints until the last space char (simple heuristic to avoid printing incomplete words,
			# which may change with the subsequent token -- there are probably smarter ways to do this!)
			else:
					__lowercase											=     text[self.print_len : text.rfind(' '   ) + 1]
					self.print_len += len(__lowerCamelCase   )

			self.on_finalized_text(__lowerCamelCase   )




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

			'''simple docstring'''




			if len(self.token_cache   ) > 0:
					__lowercase											=     self.tokenizer.decode(self.token_cache					,      **self.decode_kwargs   )
					__lowercase											=     text[self.print_len :]
					__lowercase											=     []
					__lowercase											=     0
			else:
					__lowercase											=     ''

			__lowercase											=     True
			self.on_finalized_text(__lowerCamelCase					,      stream_end=__lowerCamelCase   )




	def    UpperCAmelCase			(						self							:     Optional[int]					,      __lowerCamelCase							:     str					,      __lowerCamelCase							:     bool = False   )       -> Optional[int]:

			'''simple docstring'''




			print(__lowerCamelCase					,      flush=__lowerCamelCase					,      end='' if not stream_end else None   )






	def    UpperCAmelCase			(						self							:     str					,      __lowerCamelCase							:     Tuple   )       -> str:

			'''simple docstring'''




			if (
			    (cp >= 0X4E_00 and cp <= 0X9F_FF)
			    or (cp >= 0X34_00 and cp <= 0X4D_BF)  #
			    or (cp >= 0X2_00_00 and cp <= 0X2_A6_DF)  #
			    or (cp >= 0X2_A7_00 and cp <= 0X2_B7_3F)  #
			    or (cp >= 0X2_B7_40 and cp <= 0X2_B8_1F)  #
			    or (cp >= 0X2_B8_20 and cp <= 0X2_CE_AF)  #
			    or (cp >= 0XF9_00 and cp <= 0XFA_FF)
			    or (cp >= 0X2_F8_00 and cp <= 0X2_FA_1F)  #
			):  #
					return True

			return False





class 		snake_case_   (							UpperCAmelCase_						):







	'''simple docstring'''




	def __init__(						self							:     Union[str, Any]					,      __lowerCamelCase							:     "AutoTokenizer"					,      __lowerCamelCase							:     bool = False					,      __lowerCamelCase							:     Optional[float] = None					,      **__lowerCamelCase							:     Optional[Any]   )       -> Dict:

			'''simple docstring'''




			super().__init__(__lowerCamelCase					,      __lowerCamelCase					,      **__lowerCamelCase   )
			__lowercase											=     Queue()
			__lowercase											=     None
			__lowercase											=     timeout




	def    UpperCAmelCase			(						self							:     List[Any]					,      __lowerCamelCase							:     str					,      __lowerCamelCase							:     bool = False   )       -> Any:

			'''simple docstring'''




			self.text_queue.put(__lowerCamelCase					,      timeout=self.timeout   )
			if stream_end:
					self.text_queue.put(self.stop_signal					,      timeout=self.timeout   )




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

			'''simple docstring'''




			return self






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

			'''simple docstring'''




			__lowercase											=     self.text_queue.get(timeout=self.timeout   )
			if value == self.stop_signal:
					raise StopIteration()
			else:
					return value











def  SCREAMING_SNAKE_CASE				(      snake_case						,   snake_case						,   snake_case						,   snake_case							)		->    int:
		# Return True if there is node that has not iterated.
		__lowercase											=     [False] * len(snake_case							)
		__lowercase											=     []
		queue.append(snake_case							)
		__lowercase											=     True

		while queue:
				__lowercase											=     queue.pop(0							)
				for ind in range(len(graph[u]							)							):
						if visited[ind] is False and graph[u][ind] > 0:
								queue.append(snake_case							)
								__lowercase											=     True
								__lowercase											=     u

		return visited[t]



def  SCREAMING_SNAKE_CASE				(      snake_case						,   snake_case						,   snake_case							)		->    Dict:
		# This array is filled by BFS and to store path
		__lowercase											=     [-1] * (len(snake_case							))
		__lowercase											=     0
		while bfs(snake_case						,   snake_case						,   snake_case						,   snake_case							):
				__lowercase											=     float('Inf'							)
				__lowercase											=     sink

				while s != source:
						# Find the minimum value in select path
						__lowercase											=     min(snake_case						,   graph[parent[s]][s]							)
						__lowercase											=     parent[s]

				max_flow += path_flow
				__lowercase											=     sink

				while v != source:
						__lowercase											=     parent[v]
						graph[u][v] -= path_flow
						graph[v][u] += path_flow
						__lowercase											=     parent[v]
		return max_flow


SCREAMING_SNAKE_CASE_   :      Any			=   [
    [0, 16, 13, 0, 0, 0],
    [0, 0, 10, 12, 0, 0],
    [0, 4, 0, 0, 14, 0],
    [0, 0, 9, 0, 0, 20],
    [0, 0, 0, 7, 0, 4],
    [0, 0, 0, 0, 0, 0],
]

SCREAMING_SNAKE_CASE_	,SCREAMING_SNAKE_CASE_   :      Optional[Any]			=   0, 5


print(ford_fulkerson(graph, source, sink))




