'''simple docstring'''





import os
import re
import shutil
import sys
import tempfile
import unittest

import black


lowerCAmelCase_	:		Tuple			=     os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, """utils"""))

import check_copies  # noqa: E402


# This is the reference code that will be used in the tests.
# If DDPMSchedulerOutput is changed in scheduling_ddpm.py, this code needs to be manually updated.
lowerCAmelCase_	:		int			=     """    \"\"\"
    Output class for the scheduler's step function output.

    Args:
        prev_sample (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)` for images):
            Computed sample (x_{t-1}) of previous timestep. `prev_sample` should be used as next model input in the
            denoising loop.
        pred_original_sample (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)` for images):
            The predicted denoised sample (x_{0}) based on the model output from the current timestep.
            `pred_original_sample` can be used to preview progress or for guidance.
    \"\"\"

    prev_sample: torch.FloatTensor
    pred_original_sample: Optional[torch.FloatTensor] = None
"""




class 		SCREAMING_SNAKE_CASE     (					unittest.TestCase	):







				'''simple docstring'''





				def  snake_case__				(						self					:						List[str]					)							->Any:


										'''simple docstring'''




										_UpperCamelCase			:			Dict   			=						tempfile.mkdtemp()
										os.makedirs(os.path.join(self.diffusers_dir       ,		"schedulers/"					)					)
										_UpperCamelCase			:			Union[str, Any]   			=						self.diffusers_dir
										shutil.copy(
										    os.path.join(lowercase__       ,		"src/diffusers/schedulers/scheduling_ddpm.py"					)       ,		os.path.join(self.diffusers_dir       ,		"schedulers/scheduling_ddpm.py"					)       ,		)





				def  snake_case__				(						self					:						List[str]					)							->List[Any]:


										'''simple docstring'''




										_UpperCamelCase			:			int   			=						"src/diffusers"
										shutil.rmtree(self.diffusers_dir					)





				def  snake_case__				(						self					:						List[str]       ,		lowercase__					:						Dict       ,		lowercase__					:						Dict       ,		lowercase__					:						int       ,		lowercase__					:						Any=None					)							->Optional[Any]:


										'''simple docstring'''




										_UpperCamelCase			:			int   			=						comment + f'''\nclass {class_name}(nn.Module):\n''' + class_code
										if overwrite_result is not None:
																_UpperCamelCase			:			Tuple   			=						comment + f'''\nclass {class_name}(nn.Module):\n''' + overwrite_result
										_UpperCamelCase			:			Optional[Any]   			=						black.Mode(target_versions={black.TargetVersion.PYaa}       ,		line_length=119					)
										_UpperCamelCase			:			Tuple   			=						black.format_str(lowercase__       ,		mode=lowercase__					)
										_UpperCamelCase			:			Union[str, Any]   			=						os.path.join(self.diffusers_dir       ,		"new_code.py"					)
										with open(lowercase__       ,		"w"       ,		newline="\n"					) as f:
																f.write(lowercase__					)
										if overwrite_result is None:
																self.assertTrue(len(check_copies.is_copy_consistent(lowercase__					)					) == 0					)
										else:
																check_copies.is_copy_consistent(f.name       ,		overwrite=lowercase__					)
																with open(lowercase__       ,		"r"					) as f:
																						self.assertTrue(f.read()       ,		lowercase__					)





				def  snake_case__				(						self					:						Tuple					)							->Optional[int]:


										'''simple docstring'''




										_UpperCamelCase			:			List[str]   			=						check_copies.find_code_in_diffusers("schedulers.scheduling_ddpm.DDPMSchedulerOutput"					)
										self.assertEqual(lowercase__       ,		lowercase__					)







				def  snake_case__				(						self					:						Dict					)							->str:


										'''simple docstring'''




										self.check_copy_consistency(
										    "# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput"       ,		"DDPMSchedulerOutput"       ,		REFERENCE_CODE + "\n"       ,		)

										# With no empty line at the end
										self.check_copy_consistency(
										    "# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput"       ,		"DDPMSchedulerOutput"       ,		lowercase__       ,		)

										# Copy consistency with rename
										self.check_copy_consistency(
										    "# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->Test"       ,		"TestSchedulerOutput"       ,		re.sub("DDPM"       ,		"Test"       ,		lowercase__					)       ,		)

										# Copy consistency with a really long name
										_UpperCamelCase			:			int   			=						"TestClassWithAReallyLongNameBecauseSomePeopleLikeThatForSomeReason"
										self.check_copy_consistency(
										    f'''# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->{long_class_name}'''       ,		f'''{long_class_name}SchedulerOutput'''       ,		re.sub("Bert"       ,		lowercase__       ,		lowercase__					)       ,		)

										# Copy consistency with overwrite
										self.check_copy_consistency(
										    "# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->Test"       ,		"TestSchedulerOutput"       ,		lowercase__       ,		overwrite_result=re.sub("DDPM"       ,		"Test"       ,		lowercase__					)       ,		)



'''simple docstring'''





import argparse
import logging
import pickle
from collections import Counter


logging.basicConfig(
    format="""%(asctime)s - %(levelname)s - %(name)s - %(message)s""", datefmt="""%m/%d/%Y %H:%M:%S""", level=logging.INFO
)
lowerCAmelCase_	:		Optional[int]			=     logging.getLogger(__name__)

if __name__ == "__main__":
			lowerCAmelCase_	:		Optional[Any]			=     argparse.ArgumentParser(
			    description="""Token Counts for smoothing the masking probabilities in MLM (cf XLM/word2vec)"""
			)
			parser.add_argument(
			    """--data_file""", type=str, default="""data/dump.bert-base-uncased.pickle""", help="""The binarized dataset."""
			)
			parser.add_argument(
			    """--token_counts_dump""", type=str, default="""data/token_counts.bert-base-uncased.pickle""", help="""The dump file."""
			)
			parser.add_argument("""--vocab_size""", default=3_0522, type=int)
			lowerCAmelCase_	:		str			=     parser.parse_args()

			logger.info(f"""Loading data from {args.data_file}""")
			with open(args.data_file, """rb""") as fp:
						lowerCAmelCase_	:		Tuple			=     pickle.load(fp)

			logger.info("""Counting occurrences for MLM.""")
			lowerCAmelCase_	:		str			=     Counter()
			for tk_ids in data:
						counter.update(tk_ids)
			lowerCAmelCase_	:		Any			=     [0] * args.vocab_size
			for k, v in counter.items():
						lowerCAmelCase_	:		Optional[Any]			=     v

			logger.info(f"""Dump to {args.token_counts_dump}""")
			with open(args.token_counts_dump, """wb""") as handle:
						pickle.dump(counts, handle, protocol=pickle.HIGHEST_PROTOCOL)


