






# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from ..models.auto import AutoModelForSeqaSeqLM, AutoTokenizer
from .base import PipelineTool


__UpperCamelCase   :   int      =    {
    """Acehnese Arabic""": """ace_Arab""",
    """Acehnese Latin""": """ace_Latn""",
    """Mesopotamian Arabic""": """acm_Arab""",
    """Ta'izzi-Adeni Arabic""": """acq_Arab""",
    """Tunisian Arabic""": """aeb_Arab""",
    """Afrikaans""": """afr_Latn""",
    """South Levantine Arabic""": """ajp_Arab""",
    """Akan""": """aka_Latn""",
    """Amharic""": """amh_Ethi""",
    """North Levantine Arabic""": """apc_Arab""",
    """Modern Standard Arabic""": """arb_Arab""",
    """Modern Standard Arabic Romanized""": """arb_Latn""",
    """Najdi Arabic""": """ars_Arab""",
    """Moroccan Arabic""": """ary_Arab""",
    """Egyptian Arabic""": """arz_Arab""",
    """Assamese""": """asm_Beng""",
    """Asturian""": """ast_Latn""",
    """Awadhi""": """awa_Deva""",
    """Central Aymara""": """ayr_Latn""",
    """South Azerbaijani""": """azb_Arab""",
    """North Azerbaijani""": """azj_Latn""",
    """Bashkir""": """bak_Cyrl""",
    """Bambara""": """bam_Latn""",
    """Balinese""": """ban_Latn""",
    """Belarusian""": """bel_Cyrl""",
    """Bemba""": """bem_Latn""",
    """Bengali""": """ben_Beng""",
    """Bhojpuri""": """bho_Deva""",
    """Banjar Arabic""": """bjn_Arab""",
    """Banjar Latin""": """bjn_Latn""",
    """Standard Tibetan""": """bod_Tibt""",
    """Bosnian""": """bos_Latn""",
    """Buginese""": """bug_Latn""",
    """Bulgarian""": """bul_Cyrl""",
    """Catalan""": """cat_Latn""",
    """Cebuano""": """ceb_Latn""",
    """Czech""": """ces_Latn""",
    """Chokwe""": """cjk_Latn""",
    """Central Kurdish""": """ckb_Arab""",
    """Crimean Tatar""": """crh_Latn""",
    """Welsh""": """cym_Latn""",
    """Danish""": """dan_Latn""",
    """German""": """deu_Latn""",
    """Southwestern Dinka""": """dik_Latn""",
    """Dyula""": """dyu_Latn""",
    """Dzongkha""": """dzo_Tibt""",
    """Greek""": """ell_Grek""",
    """English""": """eng_Latn""",
    """Esperanto""": """epo_Latn""",
    """Estonian""": """est_Latn""",
    """Basque""": """eus_Latn""",
    """Ewe""": """ewe_Latn""",
    """Faroese""": """fao_Latn""",
    """Fijian""": """fij_Latn""",
    """Finnish""": """fin_Latn""",
    """Fon""": """fon_Latn""",
    """French""": """fra_Latn""",
    """Friulian""": """fur_Latn""",
    """Nigerian Fulfulde""": """fuv_Latn""",
    """Scottish Gaelic""": """gla_Latn""",
    """Irish""": """gle_Latn""",
    """Galician""": """glg_Latn""",
    """Guarani""": """grn_Latn""",
    """Gujarati""": """guj_Gujr""",
    """Haitian Creole""": """hat_Latn""",
    """Hausa""": """hau_Latn""",
    """Hebrew""": """heb_Hebr""",
    """Hindi""": """hin_Deva""",
    """Chhattisgarhi""": """hne_Deva""",
    """Croatian""": """hrv_Latn""",
    """Hungarian""": """hun_Latn""",
    """Armenian""": """hye_Armn""",
    """Igbo""": """ibo_Latn""",
    """Ilocano""": """ilo_Latn""",
    """Indonesian""": """ind_Latn""",
    """Icelandic""": """isl_Latn""",
    """Italian""": """ita_Latn""",
    """Javanese""": """jav_Latn""",
    """Japanese""": """jpn_Jpan""",
    """Kabyle""": """kab_Latn""",
    """Jingpho""": """kac_Latn""",
    """Kamba""": """kam_Latn""",
    """Kannada""": """kan_Knda""",
    """Kashmiri Arabic""": """kas_Arab""",
    """Kashmiri Devanagari""": """kas_Deva""",
    """Georgian""": """kat_Geor""",
    """Central Kanuri Arabic""": """knc_Arab""",
    """Central Kanuri Latin""": """knc_Latn""",
    """Kazakh""": """kaz_Cyrl""",
    """Kabiyè""": """kbp_Latn""",
    """Kabuverdianu""": """kea_Latn""",
    """Khmer""": """khm_Khmr""",
    """Kikuyu""": """kik_Latn""",
    """Kinyarwanda""": """kin_Latn""",
    """Kyrgyz""": """kir_Cyrl""",
    """Kimbundu""": """kmb_Latn""",
    """Northern Kurdish""": """kmr_Latn""",
    """Kikongo""": """kon_Latn""",
    """Korean""": """kor_Hang""",
    """Lao""": """lao_Laoo""",
    """Ligurian""": """lij_Latn""",
    """Limburgish""": """lim_Latn""",
    """Lingala""": """lin_Latn""",
    """Lithuanian""": """lit_Latn""",
    """Lombard""": """lmo_Latn""",
    """Latgalian""": """ltg_Latn""",
    """Luxembourgish""": """ltz_Latn""",
    """Luba-Kasai""": """lua_Latn""",
    """Ganda""": """lug_Latn""",
    """Luo""": """luo_Latn""",
    """Mizo""": """lus_Latn""",
    """Standard Latvian""": """lvs_Latn""",
    """Magahi""": """mag_Deva""",
    """Maithili""": """mai_Deva""",
    """Malayalam""": """mal_Mlym""",
    """Marathi""": """mar_Deva""",
    """Minangkabau Arabic """: """min_Arab""",
    """Minangkabau Latin""": """min_Latn""",
    """Macedonian""": """mkd_Cyrl""",
    """Plateau Malagasy""": """plt_Latn""",
    """Maltese""": """mlt_Latn""",
    """Meitei Bengali""": """mni_Beng""",
    """Halh Mongolian""": """khk_Cyrl""",
    """Mossi""": """mos_Latn""",
    """Maori""": """mri_Latn""",
    """Burmese""": """mya_Mymr""",
    """Dutch""": """nld_Latn""",
    """Norwegian Nynorsk""": """nno_Latn""",
    """Norwegian Bokmål""": """nob_Latn""",
    """Nepali""": """npi_Deva""",
    """Northern Sotho""": """nso_Latn""",
    """Nuer""": """nus_Latn""",
    """Nyanja""": """nya_Latn""",
    """Occitan""": """oci_Latn""",
    """West Central Oromo""": """gaz_Latn""",
    """Odia""": """ory_Orya""",
    """Pangasinan""": """pag_Latn""",
    """Eastern Panjabi""": """pan_Guru""",
    """Papiamento""": """pap_Latn""",
    """Western Persian""": """pes_Arab""",
    """Polish""": """pol_Latn""",
    """Portuguese""": """por_Latn""",
    """Dari""": """prs_Arab""",
    """Southern Pashto""": """pbt_Arab""",
    """Ayacucho Quechua""": """quy_Latn""",
    """Romanian""": """ron_Latn""",
    """Rundi""": """run_Latn""",
    """Russian""": """rus_Cyrl""",
    """Sango""": """sag_Latn""",
    """Sanskrit""": """san_Deva""",
    """Santali""": """sat_Olck""",
    """Sicilian""": """scn_Latn""",
    """Shan""": """shn_Mymr""",
    """Sinhala""": """sin_Sinh""",
    """Slovak""": """slk_Latn""",
    """Slovenian""": """slv_Latn""",
    """Samoan""": """smo_Latn""",
    """Shona""": """sna_Latn""",
    """Sindhi""": """snd_Arab""",
    """Somali""": """som_Latn""",
    """Southern Sotho""": """sot_Latn""",
    """Spanish""": """spa_Latn""",
    """Tosk Albanian""": """als_Latn""",
    """Sardinian""": """srd_Latn""",
    """Serbian""": """srp_Cyrl""",
    """Swati""": """ssw_Latn""",
    """Sundanese""": """sun_Latn""",
    """Swedish""": """swe_Latn""",
    """Swahili""": """swh_Latn""",
    """Silesian""": """szl_Latn""",
    """Tamil""": """tam_Taml""",
    """Tatar""": """tat_Cyrl""",
    """Telugu""": """tel_Telu""",
    """Tajik""": """tgk_Cyrl""",
    """Tagalog""": """tgl_Latn""",
    """Thai""": """tha_Thai""",
    """Tigrinya""": """tir_Ethi""",
    """Tamasheq Latin""": """taq_Latn""",
    """Tamasheq Tifinagh""": """taq_Tfng""",
    """Tok Pisin""": """tpi_Latn""",
    """Tswana""": """tsn_Latn""",
    """Tsonga""": """tso_Latn""",
    """Turkmen""": """tuk_Latn""",
    """Tumbuka""": """tum_Latn""",
    """Turkish""": """tur_Latn""",
    """Twi""": """twi_Latn""",
    """Central Atlas Tamazight""": """tzm_Tfng""",
    """Uyghur""": """uig_Arab""",
    """Ukrainian""": """ukr_Cyrl""",
    """Umbundu""": """umb_Latn""",
    """Urdu""": """urd_Arab""",
    """Northern Uzbek""": """uzn_Latn""",
    """Venetian""": """vec_Latn""",
    """Vietnamese""": """vie_Latn""",
    """Waray""": """war_Latn""",
    """Wolof""": """wol_Latn""",
    """Xhosa""": """xho_Latn""",
    """Eastern Yiddish""": """ydd_Hebr""",
    """Yoruba""": """yor_Latn""",
    """Yue Chinese""": """yue_Hant""",
    """Chinese Simplified""": """zho_Hans""",
    """Chinese Traditional""": """zho_Hant""",
    """Standard Malay""": """zsm_Latn""",
    """Zulu""": """zul_Latn""",
}


class 							__UpperCamelCase     (  _lowerCAmelCase ):
	__snake_case						:Union[str, Any] =							'facebook/nllb-200-distilled-600M'
	__snake_case						:Optional[Any] =							(
	    'This is a tool that translates text from a language to another. It takes three inputs: `text`, which should '
	    'be the text to translate, `src_lang`, which should be the language of the text to translate and `tgt_lang`, '
	    'which should be the language for the desired ouput language. Both `src_lang` and `tgt_lang` are written in '
	    'plain English, such as \'Romanian\', or \'Albanian\'. It returns the text translated in `tgt_lang`.'
	)
	__snake_case						:str =							'translator'
	__snake_case						:Optional[Any] =							AutoTokenizer
	__snake_case						:Optional[Any] =							AutoModelForSeqaSeqLM
	__snake_case						:Dict =							LANGUAGE_CODES

	__snake_case						:Any =							['text', 'text', 'text']
	__snake_case						:Dict =							['text']







	def 			_a (	self   :				str							,					_lowerCAmelCase   :				Tuple							,					_lowerCAmelCase   :				Tuple							,					_lowerCAmelCase   :				Any      )		->			str:
		"""simple docstring"""







		if src_lang not in self.lang_to_code:
			raise ValueError(F'{src_lang} is not a supported language.'      )
		if tgt_lang not in self.lang_to_code:
			raise ValueError(F'{tgt_lang} is not a supported language.'      )
		__lowercase   							=	self.lang_to_code[src_lang]
		__lowercase   							=	self.lang_to_code[tgt_lang]
		return self.pre_processor._build_translation_inputs(
		    _lowerCAmelCase							,					return_tensors="""pt"""							,					src_lang=_lowerCAmelCase							,					tgt_lang=_lowerCAmelCase      )







	def 			_a (	self   :				Tuple							,					_lowerCAmelCase   :				Union[str, Any]      )		->			Union[str, Any]:
		"""simple docstring"""







		return self.model.generate(**_lowerCAmelCase      )







	def 			_a (	self   :				List[Any]							,					_lowerCAmelCase   :				int      )		->			Optional[Any]:
		"""simple docstring"""







		return self.post_processor.decode(outputs[0].tolist()							,					skip_special_tokens=_lowerCAmelCase      )







import heapq
import sys

import numpy as np

_lowerCamelCase      :						Any							=  tuple[int, int]


class 							UpperCamelCase_       :

    '''simple docstring'''






    def __init__(     self :      Any)		->str:





           '''simple docstring'''

           A__ 					=       []
           A__ 					=       set()


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





           '''simple docstring'''

           if not self.empty():
                  return self.elements[0][0]
           else:
                  return float('''inf''')


    def 			SCREAMING_SNAKE_CASE				(     self :      Tuple)		->str:





           '''simple docstring'''

           return len(self.elements) == 0


    def 			SCREAMING_SNAKE_CASE				(     self :      Dict   ,					UpperCAmelCase__ :      Tuple   ,					UpperCAmelCase__ :      Optional[Any])		->List[str]:





           '''simple docstring'''

           if item not in self.set:
                  heapq.heappush(self.elements   ,					(priority, item))
                  self.set.add(UpperCAmelCase__)
           else:
                  # update
                  # print("update", item)
                  A__ 					=       []
                  ((A__)					,				(A__)) 					=       heapq.heappop(self.elements)
                  while x != item:
                         temp.append((pri, x))
                         ((A__)					,				(A__)) 					=       heapq.heappop(self.elements)
                  temp.append((priority, item))
                  for pro, xxx in temp:
                         heapq.heappush(self.elements   ,					(pro, xxx))


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





           '''simple docstring'''

           if item in self.set:
                  self.set.remove(UpperCAmelCase__)
                  A__ 					=       []
                  ((A__)					,				(A__)) 					=       heapq.heappop(self.elements)
                  while x != item:
                         temp.append((pro, x))
                         ((A__)					,				(A__)) 					=       heapq.heappop(self.elements)
                  for prito, yyy in temp:
                         heapq.heappush(self.elements   ,					(prito, yyy))


    def 			SCREAMING_SNAKE_CASE				(     self :      List[str])		->List[str]:





           '''simple docstring'''

           return self.elements[0][1]





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





           '''simple docstring'''

           ((A__)					,				(A__)) 					=       heapq.heappop(self.elements)
           self.set.remove(UpperCAmelCase__)
           return (priority, item)







def SCREAMING_SNAKE_CASE							(			lowercase_					,							lowercase_		)  ->			str:



       """simple docstring"""

       A__ 					=       np.array(lowercase_		)
       A__ 					=       np.array(lowercase_		)
       return np.linalg.norm(a - b		)







def SCREAMING_SNAKE_CASE							(			lowercase_					,							lowercase_		)  ->			str:



       """simple docstring"""

       return consistent_heuristic(lowercase_					,							lowercase_		) // t







def SCREAMING_SNAKE_CASE							(			lowercase_					,							lowercase_		)  ->			Union[str, Any]:



       """simple docstring"""

       return abs(p[0] - goal[0]		) + abs(p[1] - goal[1]		)







def SCREAMING_SNAKE_CASE							(			lowercase_					,							lowercase_					,							lowercase_					,							lowercase_		)  ->			Optional[int]:



       """simple docstring"""

       A__ 					=       g_function[start] + Wa * heuristics[i](lowercase_					,							lowercase_		)
       return ans







def SCREAMING_SNAKE_CASE							(			lowercase_					,							lowercase_					,							lowercase_		)  ->			str:



       """simple docstring"""

       A__ 					=       np.chararray((n, n)		)
       for i in range(lowercase_		):
              for j in range(lowercase_		):
                     A__ 					=       '''*'''

       for i in range(lowercase_		):
              for j in range(lowercase_		):
                     if (j, (n - 1) - i) in blocks:
                            A__ 					=       '''#'''

       A__ 					=       '''-'''
       A__ 					=       back_pointer[goal]
       while x != start:
              ((A__)					,				(A__)) 					=       x
              # print(x)
              A__ 					=       '''-'''
              A__ 					=       back_pointer[x]
       A__ 					=       '''-'''

       for i in range(lowercase_		):
              for j in range(lowercase_		):
                     if (i, j) == (0, n - 1):
                            print(grid[i][j]					,							end=''' '''		)
                            print('''<-- End position'''					,							end=''' '''		)
                     else:
                            print(grid[i][j]					,							end=''' '''		)
              print()
       print('''^'''		)
       print('''Start position'''		)
       print()
       print('''# is an obstacle'''		)
       print('''- is the path taken by algorithm'''		)
       print('''PATH TAKEN BY THE ALGORITHM IS:-'''		)
       A__ 					=       back_pointer[goal]
       while x != start:
              print(lowercase_					,							end=''' '''		)
              A__ 					=       back_pointer[x]
       print(lowercase_		)
       sys.exit()







def SCREAMING_SNAKE_CASE							(			lowercase_		)  ->			Dict:



       """simple docstring"""

       if p[0] < 0 or p[0] > n - 1:
              return False
       if p[1] < 0 or p[1] > n - 1:
              return False
       return True







def SCREAMING_SNAKE_CASE							(			lowercase_					,							lowercase_					,							lowercase_					,							lowercase_					,							lowercase_					,							lowercase_					,							lowercase_					,							lowercase_					,							)  ->			Union[str, Any]:



       """simple docstring"""

       for itera in range(lowercase_		):
              open_list[itera].remove_element(lowercase_		)
       # print("s", s)
       # print("j", j)
       ((A__)					,				(A__)) 					=       s
       A__ 					=       (x - 1, y)
       A__ 					=       (x + 1, y)
       A__ 					=       (x, y + 1)
       A__ 					=       (x, y - 1)

       for neighbours in [left, right, up, down]:
              if neighbours not in blocks:
                     if valid(lowercase_		) and neighbours not in visited:
                            # print("neighbour", neighbours)
                            visited.add(lowercase_		)
                            A__ 					=       -1
                            A__ 					=       float('''inf'''		)

                     if valid(lowercase_		) and g_function[neighbours] > g_function[s] + 1:
                            A__ 					=       g_function[s] + 1
                            A__ 					=       s
                            if neighbours not in close_list_anchor:
                                   open_list[0].put(lowercase_					,							key(lowercase_					,							0					,							lowercase_					,							lowercase_		)		)
                                   if neighbours not in close_list_inad:
                                          for var in range(1					,							lowercase_		):
                                                 if key(lowercase_					,							lowercase_					,							lowercase_					,							lowercase_		) <= Wa * key(
                                                     lowercase_					,							0					,							lowercase_					,							lowercase_		):
                                                        open_list[j].put(
                                                            lowercase_					,							key(lowercase_					,							lowercase_					,							lowercase_					,							lowercase_		)		)







def SCREAMING_SNAKE_CASE							(			)  ->			Optional[int]:



       """simple docstring"""

       A__ 					=       []
       for x in range(1					,							5		):
              for y in range(1					,							6		):
                     some_list.append((x, y)		)

       for x in range(15					,							20		):
              some_list.append((x, 17)		)

       for x in range(10					,							19		):
              for y in range(1					,							15		):
                     some_list.append((x, y)		)

    # L block
       for x in range(1					,							4		):
              for y in range(12					,							19		):
                     some_list.append((x, y)		)
       for x in range(3					,							13		):
              for y in range(16					,							19		):
                     some_list.append((x, y)		)
       return some_list


_lowerCamelCase      :						Dict							=  {0: consistent_heuristic, 1: heuristic_a, 2: heuristic_a}

_lowerCamelCase      :						Optional[Any]							=  [
    (0, 1),
    (1, 1),
    (2, 1),
    (3, 1),
    (4, 1),
    (5, 1),
    (6, 1),
    (7, 1),
    (8, 1),
    (9, 1),
    (10, 1),
    (11, 1),
    (12, 1),
    (13, 1),
    (14, 1),
    (15, 1),
    (16, 1),
    (17, 1),
    (18, 1),
    (19, 1),
]
_lowerCamelCase      :						Optional[int]							=  make_common_ground()


_lowerCamelCase      :						Optional[Any]							=  blocks_blk
# hyper parameters
_lowerCamelCase      :						Optional[int]							=  1
_lowerCamelCase      :						Optional[int]							=  1
_lowerCamelCase      :						List[Any]							=  20
_lowerCamelCase      :						Any							=  3  # one consistent and two other inconsistent

# start and end destination
_lowerCamelCase      :						str							=  (0, 0)
_lowerCamelCase      :						Tuple							=  (n - 1, n - 1)

_lowerCamelCase      :						int							=  1







def SCREAMING_SNAKE_CASE							(			lowercase_					,							lowercase_					,							lowercase_		)  ->			str:



       """simple docstring"""

       A__ 					=       {start: 0, goal: float('''inf'''		)}
       A__ 					=       {start: -1, goal: -1}
       A__ 					=       []
       A__ 					=       set()

       for i in range(lowercase_		):
              open_list.append(PriorityQueue()		)
              open_list[i].put(lowercase_					,							key(lowercase_					,							lowercase_					,							lowercase_					,							lowercase_		)		)

       A__ 					=       []
       A__ 					=       []
       while open_list[0].minkey() < float('''inf'''		):
              for i in range(1					,							lowercase_		):
                     # print(open_list[0].minkey(), open_list[i].minkey())
                     if open_list[i].minkey() <= Wa * open_list[0].minkey():
                            global t
                            t += 1
                            if g_function[goal] <= open_list[i].minkey():
                                   if g_function[goal] < float('''inf'''		):
                                          do_something(lowercase_					,							lowercase_					,							lowercase_		)
                            else:
                                   A__					,				A__ 					=       open_list[i].top_show()
                                   visited.add(lowercase_		)
                                   expand_state(
                                       lowercase_					,							lowercase_					,							lowercase_					,							lowercase_					,							lowercase_					,							lowercase_					,							lowercase_					,							lowercase_					,							)
                                   close_list_inad.append(lowercase_		)
                     else:
                            if g_function[goal] <= open_list[0].minkey():
                                   if g_function[goal] < float('''inf'''		):
                                          do_something(lowercase_					,							lowercase_					,							lowercase_		)
                            else:
                                   A__ 					=       open_list[0].top_show()
                                   visited.add(lowercase_		)
                                   expand_state(
                                       lowercase_					,							0					,							lowercase_					,							lowercase_					,							lowercase_					,							lowercase_					,							lowercase_					,							lowercase_					,							)
                                   close_list_anchor.append(lowercase_		)
       print('''No path found to goal'''		)
       print()
       for i in range(n - 1					,							-1					,							-1		):
              for j in range(lowercase_		):
                     if (j, i) in blocks:
                            print('''#'''					,							end=''' '''		)
                     elif (j, i) in back_pointer:
                            if (j, i) == (n - 1, n - 1):
                                   print('''*'''					,							end=''' '''		)
                            else:
                                   print('''-'''					,							end=''' '''		)
                     else:
                            print('''*'''					,							end=''' '''		)
                     if (j, i) == (n - 1, n - 1):
                            print('''<-- End position'''					,							end=''' '''		)
              print()
       print('''^'''		)
       print('''Start position'''		)
       print()
       print('''# is an obstacle'''		)
       print('''- is the path taken by algorithm'''		)


if __name__ == "__main__":
  multi_a_star(start, goal, n_heuristic)


