
'''simple docstring'''

import csv
import json
import os

import datasets


# TODO: Add BibTeX citation
# Find for instance the citation on arxiv or on the dataset repo/website
UpperCAmelCase__				:	int					=						"\\n@InProceedings{huggingface:dataset,\ntitle = {A great new dataset},\nauthor={huggingface, Inc.\n},\nyear={2020}\n}\n"

# TODO: Add description of the dataset here
# You can copy an official description
UpperCAmelCase__				:	Dict					=						"\\nThis new dataset is designed to solve this great NLP task and is crafted with a lot of care.\n"

# TODO: Add a link to an official homepage for the dataset here
UpperCAmelCase__				:	Optional[int]					=						""

# TODO: Add the licence for the dataset here if you can find it
UpperCAmelCase__				:	int					=						""

# TODO: Add link to the official dataset URLs here
# The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
UpperCAmelCase__				:	Union[str, Any]					=						{
    "first_domain": "https://huggingface.co/great-new-dataset-first_domain.zip",
    "second_domain": "https://huggingface.co/great-new-dataset-second_domain.zip",
}






class 				A       (		datasets.GeneratorBasedBuilder      ):
	snake_case__ :str				       =       datasets.Version('1.1.0'      )

	# This is an example of a dataset with multiple configurations.
	# If you don't want/need to define several sub-sets in your dataset,
	# just remove the BUILDER_CONFIG_CLASS and the BUILDER_CONFIGS attributes.

	# If you need to make complex sub-parts in the datasets with configurable options
	# You can create your own builder configuration class to store attribute, inheriting from datasets.BuilderConfig
	# BUILDER_CONFIG_CLASS = MyBuilderConfig

	# You will be able to load one or the other configurations in the following list with
	# data = datasets.load_dataset('my_dataset', 'first_domain')
	# data = datasets.load_dataset('my_dataset', 'second_domain')
	snake_case__ :List[str]				       =       [
	    datasets.BuilderConfig(name='first_domain'					, version=SCREAMING_SNAKE_CASE__					, description='This part of my dataset covers a first domain'      ),
	    datasets.BuilderConfig(name='second_domain'					, version=SCREAMING_SNAKE_CASE__					, description='This part of my dataset covers a second domain'      ),
	]

	snake_case__ :List[str]				       =       'first_domain'  # It's not mandatory to have a default configuration. Just use one if it make sense.





	def 							__SCREAMING_SNAKE_CASE					(   self     :    Optional[int]							):


				"""simple docstring"""

				if self.config.name == "first_domain":  # This is the name of the configuration selected in BUILDER_CONFIGS above
							lowerCAmelCase__									=							datasets.Features(
							    {
							        "sentence": datasets.Value("string"							),
							        "option1": datasets.Value("string"							),
							        "answer": datasets.Value("string"							)
							        # These are the features of your dataset like images, labels ...
							    }							)
				else:  # This is an example to show how to have different features for "first_domain" and "second_domain"
							lowerCAmelCase__									=							datasets.Features(
							    {
							        "sentence": datasets.Value("string"							),
							        "option2": datasets.Value("string"							),
							        "second_domain_answer": datasets.Value("string"							)
							        # These are the features of your dataset like images, labels ...
							    }							)
				return datasets.DatasetInfo(
				    # This is the description that will appear on the datasets page.
				    description=_DESCRIPTION ,							features=__magic_name__ ,							homepage=_HOMEPAGE ,							license=_LICENSE ,							citation=_CITATION ,							)





	def 							__SCREAMING_SNAKE_CASE					(   self     :    str ,							__magic_name__     :    int							):


				"""simple docstring"""

				lowerCAmelCase__									=							_URLS[self.config.name]
				lowerCAmelCase__									=							dl_manager.download_and_extract(__magic_name__							)
				return [
				    datasets.SplitGenerator(
				        name=datasets.Split.TRAIN ,							gen_kwargs={
				            "filepath": os.path.join(__magic_name__ ,							"train.jsonl"							),
				            "split": "train",
				        } ,							),
				    datasets.SplitGenerator(
				        name=datasets.Split.VALIDATION ,							gen_kwargs={
				            "filepath": os.path.join(__magic_name__ ,							"dev.jsonl"							),
				            "split": "dev",
				        } ,							),
				    datasets.SplitGenerator(
				        name=datasets.Split.TEST ,							gen_kwargs={
				            "filepath": os.path.join(__magic_name__ ,							"test.jsonl"							),
				            "split": "test"
				        } ,							),
				]







	def 							__SCREAMING_SNAKE_CASE					(   self     :    List[Any] ,							__magic_name__     :    str ,							__magic_name__     :    Dict							):


				"""simple docstring"""

				with open(__magic_name__ ,							encoding="utf-8"							) as f:
							for key, row in enumerate(__magic_name__							):
										lowerCAmelCase__									=							json.loads(__magic_name__							)
										if self.config.name == "first_domain":
													# Yields examples as (key, example) tuples
													yield key, {
													    "sentence": data["sentence"],
													    "option1": data["option1"],
													    "answer": "" if split == "test" else data["answer"],
													}
										else:
													yield key, {
													    "sentence": data["sentence"],
													    "option2": data["option2"],
													    "second_domain_answer": "" if split == "test" else data["second_domain_answer"],
													}







'''simple docstring'''

import unittest

from transformers import load_tool
from transformers.tools.agent_types import AGENT_TYPE_MAPPING

from .test_tools_common import ToolTesterMixin, output_types






class 				A       (		unittest.TestCase					, SCREAMING_SNAKE_CASE__      ):





	def 							__SCREAMING_SNAKE_CASE					(   self     :    List[Any]							):


				"""simple docstring"""

				lowerCAmelCase__									=							load_tool("translation"							)
				self.tool.setup()
				lowerCAmelCase__									=							load_tool("translation" ,							remote=__magic_name__							)





	def 							__SCREAMING_SNAKE_CASE					(   self     :    Tuple							):


				"""simple docstring"""

				lowerCAmelCase__									=							self.tool("Hey, what's up?" ,							src_lang="English" ,							tgt_lang="French"							)
				self.assertEqual(__magic_name__ ,							"- Hé, comment ça va?"							)





	def 							__SCREAMING_SNAKE_CASE					(   self     :    Optional[int]							):


				"""simple docstring"""

				lowerCAmelCase__									=							self.remote_tool("Hey, what's up?" ,							src_lang="English" ,							tgt_lang="French"							)
				self.assertEqual(__magic_name__ ,							"- Hé, comment ça va?"							)





	def 							__SCREAMING_SNAKE_CASE					(   self     :    List[Any]							):


				"""simple docstring"""

				lowerCAmelCase__									=							self.tool(text="Hey, what's up?" ,							src_lang="English" ,							tgt_lang="French"							)
				self.assertEqual(__magic_name__ ,							"- Hé, comment ça va?"							)





	def 							__SCREAMING_SNAKE_CASE					(   self     :    int							):


				"""simple docstring"""

				lowerCAmelCase__									=							self.remote_tool(text="Hey, what's up?" ,							src_lang="English" ,							tgt_lang="French"							)
				self.assertEqual(__magic_name__ ,							"- Hé, comment ça va?"							)





	def 							__SCREAMING_SNAKE_CASE					(   self     :    int							):


				"""simple docstring"""

				lowerCAmelCase__									=							["Hey, what's up?", "English", "Spanish"]
				lowerCAmelCase__									=							self.tool(*__magic_name__							)

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

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





	def 							__SCREAMING_SNAKE_CASE					(   self     :    str							):


				"""simple docstring"""

				lowerCAmelCase__									=							["Hey, what's up?", "English", "Spanish"]
				lowerCAmelCase__									=							self.tool(*__magic_name__							)

				if not isinstance(__magic_name__ ,							__magic_name__							):
							lowerCAmelCase__									=							[outputs]

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

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







	def 							__SCREAMING_SNAKE_CASE					(   self     :    int							):


				"""simple docstring"""

				lowerCAmelCase__									=							["Hey, what's up?", "English", "Spanish"]

				lowerCAmelCase__									=							[]

				for _input, input_type in zip(__magic_name__ ,							self.tool.inputs							):
							if isinstance(__magic_name__ ,							__magic_name__							):
										_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
				lowerCAmelCase__									=							self.tool(*__magic_name__							)

				if not isinstance(__magic_name__ ,							__magic_name__							):
							lowerCAmelCase__									=							[outputs]

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





