
"""simple docstring"""







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 							__magic_name__     (		lowercase__      ,		unittest.TestCase   ):
					_SCREAMING_SNAKE_CASE       :					Union[str, Any]     							=   CodeGenTokenizer
					_SCREAMING_SNAKE_CASE       :					Optional[Any]     							=   CodeGenTokenizerFast
					_SCREAMING_SNAKE_CASE       :					str     							=   True
					_SCREAMING_SNAKE_CASE       :					Optional[Any]     							=   {'add_prefix_space': True}
					_SCREAMING_SNAKE_CASE       :					Optional[Any]     							=   False





					def 							lowerCAmelCase      (				self   :							Optional[int]    ):
												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(lowercase_							,						range(len(lowercase_    )    )    )    )
												__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(lowercase_    ) + "\n"    )
												with open(self.merges_file							,						"w"							,						encoding="utf-8"    ) as fp:
																			fp.write("\n".join(lowercase_    )    )





					def 							lowerCAmelCase      (				self   :							Tuple							,						**snake_case_   :							Any    ):
												kwargs.update(self.special_tokens_map    )
												return CodeGenTokenizer.from_pretrained(self.tmpdirname							,						**lowercase_    )





					def 							lowerCAmelCase      (				self   :							Tuple							,						**snake_case_   :							Tuple    ):
												kwargs.update(self.special_tokens_map    )
												return CodeGenTokenizerFast.from_pretrained(self.tmpdirname							,						**lowercase_    )





					def 							lowerCAmelCase      (				self   :							Any							,						snake_case_   :							List[str]    ):
												__snake_case     			=       "lower newer"
												__snake_case     			=       "lower newer"
												return input_text, output_text





					def 							lowerCAmelCase      (				self   :							int    ):
												__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(lowercase_							,						add_prefix_space=lowercase_    )
												self.assertListEqual(lowercase_							,						lowercase_    )

												__snake_case     			=       tokens + [tokenizer.unk_token]
												__snake_case     			=       [14, 15, 10, 9, 3, 2, 15, 19]
												self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase_    )							,						lowercase_    )





					def 							lowerCAmelCase      (				self   :							List[Any]    ):







												if not self.test_rust_tokenizer:
																			return

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

												__snake_case     			=       "lower newer"

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

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

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

												# Testing the unknown token
												__snake_case     			=       tokens + [rust_tokenizer.unk_token]
												__snake_case     			=       [14, 15, 10, 9, 3, 2, 15, 19]
												self.assertListEqual(rust_tokenizer.convert_tokens_to_ids(lowercase_    )							,						lowercase_    )





					def 							lowerCAmelCase      (				self   :							str							,						*snake_case_   :							int							,						**snake_case_   :							List[Any]    ):
												pass





					def 							lowerCAmelCase      (				self   :							Tuple							,						snake_case_   :							Optional[int]=15    ):







												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(lowercase_							,						**lowercase_    )

																										# 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(lowercase_							,						tokenizer_r.encode							,						lowercase_							,						max_length=lowercase_							,						padding="max_length"    )

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

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

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

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

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





					def 							lowerCAmelCase      (				self   :							Tuple    ):
												__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(lowercase_							,						padding="max_length"							,						max_length=30							,						return_tensors="np"    )
												__snake_case     			=       tokenizer(lowercase_							,						padding=lowercase_							,						truncate=lowercase_							,						return_tensors="np"    )
												__snake_case     			=       tokenizer(*lowercase_							,						padding="max_length"							,						max_length=60							,						return_tensors="np"    )
												__snake_case     			=       tokenizer(lowercase_							,						padding=lowercase_							,						truncate=lowercase_							,						return_tensors="np"    )

												# s
												# test single string max_length padding
												self.assertEqual(out_s["input_ids"].shape[-1]							,						30    )
												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]							,						33    )
												# 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]							,						60    )
												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]							,						52    )
												# 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 							lowerCAmelCase      (				self   :							Dict    ):
												__snake_case     			=       "$$$"
												__snake_case     			=       CodeGenTokenizer.from_pretrained(self.tmpdirname							,						bos_token=lowercase_							,						add_bos_token=lowercase_    )

												__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(lowercase_    )
												__snake_case     			=       tokenizer(lowercase_    )

												self.assertEqual(out_s.input_ids[0]							,						lowercase_    )
												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]							,						lowercase_    )
												self.assertTrue(all(d.split()[0] == bos_token for d in decode_sa    )    )





					@slow
					def 							lowerCAmelCase      (				self   :							Optional[Any]    ):
												__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(lowercase_    )
												__snake_case     			=       ["^#", re.escape("<|endoftext|>"    ), "^'''", "^\"\"\"", "\n\n\n"]
												__snake_case     			=       tokenizer.decode(lowercase_							,						truncate_before_pattern=lowercase_    )
												self.assertEqual(lowercase_							,						lowercase_    )





					def 							lowerCAmelCase      (				self   :							List[str]    ):
												pass


"""simple docstring"""







from pathlib import Path
from typing import List

from transformers import is_torch_available, is_vision_available
from transformers.testing_utils import get_tests_dir, is_tool_test
from transformers.tools.agent_types import AGENT_TYPE_MAPPING, AgentAudio, AgentImage, AgentText


if is_torch_available():
		import torch

if is_vision_available():
		from PIL import Image


_SCREAMING_SNAKE_CASE	       =      ["""text""", """image""", """audio"""]
def   __UpperCamelCase   (					SCREAMING_SNAKE_CASE )  ->     List[Any]:







							"""simple docstring"""


							__snake_case     			=       []

							for input_type in input_types:
														if input_type == "text":
																					inputs.append("Text input" )
														elif input_type == "image":
																					inputs.append(
																					    Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO" ) ) / "000000039769.png" ).resize((5_12, 5_12) ) )
														elif input_type == "audio":
																					inputs.append(torch.ones(30_00 ) )
														elif isinstance(SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE ):
																					inputs.append(create_inputs(SCREAMING_SNAKE_CASE ) )
														else:
																					raise ValueError(F'''Invalid type requested: {input_type}''' )

							return inputs
def   __UpperCamelCase   (					SCREAMING_SNAKE_CASE )  ->     Optional[Any]:







							"""simple docstring"""


							__snake_case     			=       []

							for output in outputs:
														if isinstance(SCREAMING_SNAKE_CASE							,    (str, AgentText) ):
																					output_types.append("text" )
														elif isinstance(SCREAMING_SNAKE_CASE							,    (Image.Image, AgentImage) ):
																					output_types.append("image" )
														elif isinstance(SCREAMING_SNAKE_CASE							,    (torch.Tensor, AgentAudio) ):
																					output_types.append("audio" )
														else:
																					raise ValueError(F'''Invalid output: {output}''' )

							return output_types







@is_tool_test
class 							__magic_name__     :





					def 							lowerCAmelCase      (				self   :							Optional[int]    ):
												self.assertTrue(hasattr(self.tool							,						"inputs"    )    )
												self.assertTrue(hasattr(self.tool							,						"outputs"    )    )

												__snake_case     			=       self.tool.inputs
												for _input in inputs:
																			if isinstance(_input							,						snake_case_    ):
																										for __input in _input:
																																	self.assertTrue(__input in authorized_types    )
																			else:
																										self.assertTrue(_input in authorized_types    )

												__snake_case     			=       self.tool.outputs
												for _output in outputs:
																			self.assertTrue(_output in authorized_types    )





					def 							lowerCAmelCase      (				self   :							int    ):
												__snake_case     			=       create_inputs(self.tool.inputs    )
												__snake_case     			=       self.tool(*snake_case_    )

												# There is a single output
												if len(self.tool.outputs    ) == 1:
																			__snake_case     			=       [outputs]

												self.assertListEqual(output_types(snake_case_    )							,						self.tool.outputs    )





					def 							lowerCAmelCase      (				self   :							Union[str, Any]    ):
												self.assertTrue(hasattr(self.tool							,						"description"    )    )
												self.assertTrue(hasattr(self.tool							,						"default_checkpoint"    )    )
												self.assertTrue(self.tool.description.startswith("This is a tool that"    )    )





					def 							lowerCAmelCase      (				self   :							Any    ):
												__snake_case     			=       create_inputs(self.tool.inputs    )
												__snake_case     			=       self.tool(*snake_case_    )

												if not isinstance(snake_case_							,						snake_case_    ):
																			__snake_case     			=       [outputs]

												self.assertEqual(len(snake_case_    )							,						len(self.tool.outputs    )    )

												for output, output_type in zip(snake_case_							,						self.tool.outputs    ):
																			__snake_case     			=       AGENT_TYPE_MAPPING[output_type]
																			self.assertTrue(isinstance(snake_case_							,						snake_case_    )    )





					def 							lowerCAmelCase      (				self   :							Tuple    ):
												__snake_case     			=       create_inputs(self.tool.inputs    )

												__snake_case     			=       []

												for _input, input_type in zip(snake_case_							,						self.tool.inputs    ):
																			if isinstance(snake_case_							,						snake_case_    ):
																										_inputs.append([AGENT_TYPE_MAPPING[_input_type](_input    ) for _input_type in input_type]    )
																			else:
																										_inputs.append(AGENT_TYPE_MAPPING[input_type](_input    )    )

        # Should not raise an error
												__snake_case     			=       self.tool(*snake_case_    )

												if not isinstance(snake_case_							,						snake_case_    ):
																			__snake_case     			=       [outputs]

												self.assertEqual(len(snake_case_    )							,						len(self.tool.outputs    )    )
