


import json
import os
import re
import unittest

from transformers import CodeGenTokenizer, CodeGenTokenizerFast
from transformers.models.codegen.tokenization_codegen import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class     UpperCamelCase(  _a     ,							unittest.TestCase   ):
					snake_case_		:				Dict										=	CodeGenTokenizer
					snake_case_		:				int										=	CodeGenTokenizerFast
					snake_case_		:				int										=	True
					snake_case_		:				Optional[int]										=	{"""add_prefix_space""": True}
					snake_case_		:				Union[str, Any]										=	False


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




											'''simple docstring'''

											super().setUp()

											# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
											__snake_case				=		[
											    "l",
											    "o",
											    "w",
											    "e",
											    "r",
											    "s",
											    "t",
											    "i",
											    "d",
											    "n",
											    "\u0120",
											    "\u0120l",
											    "\u0120n",
											    "\u0120lo",
											    "\u0120low",
											    "er",
											    "\u0120lowest",
											    "\u0120newer",
											    "\u0120wider",
											    "<unk>",
											    "<|endoftext|>",
											]
											__snake_case				=		dict(zip(SCREAMING_SNAKE_CASE     ,    range(len(SCREAMING_SNAKE_CASE						)						)						)						)
											__snake_case				=		["#version: 0.2", "\u0120 l", "\u0120l o", "\u0120lo w", "e r", ""]
											__snake_case				=		{"unk_token": "<unk>"}

											__snake_case				=		os.path.join(self.tmpdirname     ,    VOCAB_FILES_NAMES["vocab_file"]						)
											__snake_case				=		os.path.join(self.tmpdirname     ,    VOCAB_FILES_NAMES["merges_file"]						)
											with open(self.vocab_file     ,    "w"     ,    encoding="utf-8"						) as fp:
																	fp.write(json.dumps(SCREAMING_SNAKE_CASE						) + "\n"						)
											with open(self.merges_file     ,    "w"     ,    encoding="utf-8"						) as fp:
																	fp.write("\n".join(SCREAMING_SNAKE_CASE						)						)


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Union[str, Any]     ,    **SCREAMING_SNAKE_CASE	:		Any						)			->	Optional[Any]:




											'''simple docstring'''

											kwargs.update(self.special_tokens_map						)
											return CodeGenTokenizer.from_pretrained(self.tmpdirname     ,    **SCREAMING_SNAKE_CASE						)


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Any     ,    **SCREAMING_SNAKE_CASE	:		Optional[int]						)			->	Union[str, Any]:




											'''simple docstring'''

											kwargs.update(self.special_tokens_map						)
											return CodeGenTokenizerFast.from_pretrained(self.tmpdirname     ,    **SCREAMING_SNAKE_CASE						)


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




											'''simple docstring'''

											__snake_case				=		"lower newer"
											__snake_case				=		"lower newer"
											return input_text, output_text


					def 							SCREAMING_SNAKE_CASE_  (						self	:		str						)			->	Any:




											'''simple docstring'''

											__snake_case				=		CodeGenTokenizer(self.vocab_file     ,    self.merges_file     ,    **self.special_tokens_map						)
											__snake_case				=		"lower newer"
											__snake_case				=		["\u0120low", "er", "\u0120", "n", "e", "w", "er"]
											__snake_case				=		tokenizer.tokenize(SCREAMING_SNAKE_CASE     ,    add_prefix_space=SCREAMING_SNAKE_CASE						)
											self.assertListEqual(SCREAMING_SNAKE_CASE     ,    SCREAMING_SNAKE_CASE						)

											__snake_case				=		tokens + [tokenizer.unk_token]
											__snake_case				=		[1_4, 1_5, 1_0, 9, 3, 2, 1_5, 1_9]
											self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE						)     ,    SCREAMING_SNAKE_CASE						)


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Any						)			->	str:




											'''simple docstring'''

											if not self.test_rust_tokenizer:
																	return

											__snake_case				=		self.get_tokenizer()
											__snake_case				=		self.get_rust_tokenizer(add_prefix_space=SCREAMING_SNAKE_CASE						)

											__snake_case				=		"lower newer"

											# Testing tokenization
											__snake_case				=		tokenizer.tokenize(SCREAMING_SNAKE_CASE     ,    add_prefix_space=SCREAMING_SNAKE_CASE						)
											__snake_case				=		rust_tokenizer.tokenize(SCREAMING_SNAKE_CASE						)
											self.assertListEqual(SCREAMING_SNAKE_CASE     ,    SCREAMING_SNAKE_CASE						)

											# Testing conversion to ids without special tokens
											__snake_case				=		tokenizer.encode(SCREAMING_SNAKE_CASE     ,    add_special_tokens=SCREAMING_SNAKE_CASE     ,    add_prefix_space=SCREAMING_SNAKE_CASE						)
											__snake_case				=		rust_tokenizer.encode(SCREAMING_SNAKE_CASE     ,    add_special_tokens=SCREAMING_SNAKE_CASE						)
											self.assertListEqual(SCREAMING_SNAKE_CASE     ,    SCREAMING_SNAKE_CASE						)

											# Testing conversion to ids with special tokens
											__snake_case				=		self.get_rust_tokenizer(add_prefix_space=SCREAMING_SNAKE_CASE						)
											__snake_case				=		tokenizer.encode(SCREAMING_SNAKE_CASE     ,    add_prefix_space=SCREAMING_SNAKE_CASE						)
											__snake_case				=		rust_tokenizer.encode(SCREAMING_SNAKE_CASE						)
											self.assertListEqual(SCREAMING_SNAKE_CASE     ,    SCREAMING_SNAKE_CASE						)

											# Testing the unknown token
											__snake_case				=		tokens + [rust_tokenizer.unk_token]
											__snake_case				=		[1_4, 1_5, 1_0, 9, 3, 2, 1_5, 1_9]
											self.assertListEqual(rust_tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE						)     ,    SCREAMING_SNAKE_CASE						)


					def 							SCREAMING_SNAKE_CASE_  (						self	:		List[str]     ,    *SCREAMING_SNAKE_CASE	:		int     ,    **SCREAMING_SNAKE_CASE	:		int						)			->	str:




											'''simple docstring'''

											pass


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Optional[int]     ,    SCREAMING_SNAKE_CASE	:		Optional[int]=1_5						)			->	List[Any]:




											'''simple docstring'''

											for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																	with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''						):
																							__snake_case				=		self.rust_tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE     ,    **SCREAMING_SNAKE_CASE						)

																							# Simple input
																							__snake_case				=		"This is a simple input"
																							__snake_case				=		["This is a simple input 1", "This is a simple input 2"]
																							__snake_case				=		("This is a simple input", "This is a pair")
																							__snake_case				=		[
																							    ("This is a simple input 1", "This is a simple input 2"),
																							    ("This is a simple pair 1", "This is a simple pair 2"),
																							]

																							# Simple input tests
																							self.assertRaises(SCREAMING_SNAKE_CASE     ,    tokenizer_r.encode     ,    SCREAMING_SNAKE_CASE     ,    max_length=SCREAMING_SNAKE_CASE     ,    padding="max_length"						)

																							# Simple input
																							self.assertRaises(SCREAMING_SNAKE_CASE     ,    tokenizer_r.encode_plus     ,    SCREAMING_SNAKE_CASE     ,    max_length=SCREAMING_SNAKE_CASE     ,    padding="max_length"						)

																							# Simple input
																							self.assertRaises(
																							    SCREAMING_SNAKE_CASE     ,    tokenizer_r.batch_encode_plus     ,    SCREAMING_SNAKE_CASE     ,    max_length=SCREAMING_SNAKE_CASE     ,    padding="max_length"     ,    )

																							# Pair input
																							self.assertRaises(SCREAMING_SNAKE_CASE     ,    tokenizer_r.encode     ,    SCREAMING_SNAKE_CASE     ,    max_length=SCREAMING_SNAKE_CASE     ,    padding="max_length"						)

																							# Pair input
																							self.assertRaises(SCREAMING_SNAKE_CASE     ,    tokenizer_r.encode_plus     ,    SCREAMING_SNAKE_CASE     ,    max_length=SCREAMING_SNAKE_CASE     ,    padding="max_length"						)

																							# Pair input
																							self.assertRaises(
																							    SCREAMING_SNAKE_CASE     ,    tokenizer_r.batch_encode_plus     ,    SCREAMING_SNAKE_CASE     ,    max_length=SCREAMING_SNAKE_CASE     ,    padding="max_length"     ,    )


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Dict						)			->	Dict:




											'''simple docstring'''

											__snake_case				=		CodeGenTokenizer.from_pretrained(self.tmpdirname     ,    pad_token="<pad>"						)

											# Simple input
											__snake_case				=		"This is a simple input"
											__snake_case				=		["This is a simple input looooooooong", "This is a simple input"]
											__snake_case				=		("This is a simple input", "This is a pair")
											__snake_case				=		[
											    ("This is a simple input loooooong", "This is a simple input"),
											    ("This is a simple pair loooooong", "This is a simple pair"),
											]

											__snake_case				=		tokenizer.pad_token_id

											__snake_case				=		tokenizer(SCREAMING_SNAKE_CASE     ,    padding="max_length"     ,    max_length=3_0     ,    return_tensors="np"						)
											__snake_case				=		tokenizer(SCREAMING_SNAKE_CASE     ,    padding=SCREAMING_SNAKE_CASE     ,    truncate=SCREAMING_SNAKE_CASE     ,    return_tensors="np"						)
											__snake_case				=		tokenizer(*SCREAMING_SNAKE_CASE     ,    padding="max_length"     ,    max_length=6_0     ,    return_tensors="np"						)
											__snake_case				=		tokenizer(SCREAMING_SNAKE_CASE     ,    padding=SCREAMING_SNAKE_CASE     ,    truncate=SCREAMING_SNAKE_CASE     ,    return_tensors="np"						)

											# s
											# test single string max_length padding
											self.assertEqual(out_s["input_ids"].shape[-1]     ,    3_0						)
											self.assertTrue(pad_token_id in out_s["input_ids"]						)
											self.assertTrue(0 in out_s["attention_mask"]						)

											# s2
											# test automatic padding
											self.assertEqual(out_sa["input_ids"].shape[-1]     ,    3_3						)
											# long slice doesn't have padding
											self.assertFalse(pad_token_id in out_sa["input_ids"][0]						)
											self.assertFalse(0 in out_sa["attention_mask"][0]						)
											# short slice does have padding
											self.assertTrue(pad_token_id in out_sa["input_ids"][1]						)
											self.assertTrue(0 in out_sa["attention_mask"][1]						)

											# p
											# test single pair max_length padding
											self.assertEqual(out_p["input_ids"].shape[-1]     ,    6_0						)
											self.assertTrue(pad_token_id in out_p["input_ids"]						)
											self.assertTrue(0 in out_p["attention_mask"]						)

											# p2
											# test automatic padding pair
											self.assertEqual(out_pa["input_ids"].shape[-1]     ,    5_2						)
											# long slice pair doesn't have padding
											self.assertFalse(pad_token_id in out_pa["input_ids"][0]						)
											self.assertFalse(0 in out_pa["attention_mask"][0]						)
											# short slice pair does have padding
											self.assertTrue(pad_token_id in out_pa["input_ids"][1]						)
											self.assertTrue(0 in out_pa["attention_mask"][1]						)


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




											'''simple docstring'''

											__snake_case				=		"$$$"
											__snake_case				=		CodeGenTokenizer.from_pretrained(self.tmpdirname     ,    bos_token=SCREAMING_SNAKE_CASE     ,    add_bos_token=SCREAMING_SNAKE_CASE						)

											__snake_case				=		"This is a simple input"
											__snake_case				=		["This is a simple input 1", "This is a simple input 2"]

											__snake_case				=		tokenizer.bos_token_id

											__snake_case				=		tokenizer(SCREAMING_SNAKE_CASE						)
											__snake_case				=		tokenizer(SCREAMING_SNAKE_CASE						)

											self.assertEqual(out_s.input_ids[0]     ,    SCREAMING_SNAKE_CASE						)
											self.assertTrue(all(o[0] == bos_token_id for o in out_sa.input_ids						)						)

											__snake_case				=		tokenizer.decode(out_s.input_ids						)
											__snake_case				=		tokenizer.batch_decode(out_sa.input_ids						)

											self.assertEqual(decode_s.split()[0]     ,    SCREAMING_SNAKE_CASE						)
											self.assertTrue(all(d.split()[0] == bos_token for d in decode_sa						)						)


					@slow
					def 							SCREAMING_SNAKE_CASE_  (						self	:		Any						)			->	Dict:




											'''simple docstring'''

											__snake_case				=		CodeGenTokenizer.from_pretrained("Salesforce/codegen-350M-mono"						)

											__snake_case				=		"\nif len_a > len_b:\n    result = a\nelse:\n    result = b\n\n\n\n#"
											__snake_case				=		"\nif len_a > len_b:      result = a\nelse:      result = b"

											__snake_case				=		tokenizer.encode(SCREAMING_SNAKE_CASE						)
											__snake_case				=		["^#", re.escape("<|endoftext|>"						), "^'''", "^\"\"\"", "\n\n\n"]
											__snake_case				=		tokenizer.decode(SCREAMING_SNAKE_CASE     ,    truncate_before_pattern=SCREAMING_SNAKE_CASE						)
											self.assertEqual(SCREAMING_SNAKE_CASE     ,    SCREAMING_SNAKE_CASE						)






					def 							SCREAMING_SNAKE_CASE_  (						self	:		List[Any]						)			->	Optional[Any]:




											'''simple docstring'''

											pass










from __future__ import annotations

from collections.abc import Iterator






class     UpperCamelCase:


					def __init__(						self	:		Union[str, Any]     ,    SCREAMING_SNAKE_CASE	:		int						)			->	None:




											'''simple docstring'''

											__snake_case				=		value
											__snake_case				=		None
											__snake_case				=		None






class     UpperCamelCase:


					def __init__(						self	:		int     ,    SCREAMING_SNAKE_CASE	:		Node						)			->	None:




											'''simple docstring'''

											__snake_case				=		tree


					def 							SCREAMING_SNAKE_CASE_  (						self	:		List[str]     ,    SCREAMING_SNAKE_CASE	:		Node | None						)			->	int:




											'''simple docstring'''

											if node is None:
																	return 0
											return node.value + (
											    self.depth_first_search(node.left						) + self.depth_first_search(node.right						)
											)






					def __iter__(						self	:		int						)			->	Iterator[int]:




											'''simple docstring'''

											yield self.depth_first_search(self.tree						)


if __name__ == "__main__":
	import doctest

	doctest.testmod()





