





import json
import os
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path

from requests.exceptions import HTTPError

from transformers.utils import (
    CONFIG_NAME,
    FLAX_WEIGHTS_NAME,
    TF2_WEIGHTS_NAME,
    TRANSFORMERS_CACHE,
    WEIGHTS_NAME,
    cached_file,
    get_file_from_repo,
    has_file,
)


A_												=     "hf-internal-testing/tiny-random-bert"
A_												=     os.path.join(TRANSFORMERS_CACHE, "models--hf-internal-testing--tiny-random-bert")
A_												=     "9b8c223d42b2188cb49d29af482996f9d0f3e5a6"

class SCREAMING_SNAKE_CASE_ (					unittest.TestCase   ):





					"""simple docstring"""


					def 					__magic_name__ ( self	):
										lowerCamelCase__       =       cached_file(_lowerCAmelCase	,  _lowerCAmelCase	)
										# Should have downloaded the file in here
										self.assertTrue(os.path.isdir(_lowerCAmelCase	)	)
										# Cache should contain at least those three subfolders:
										for subfolder in ["blobs", "refs", "snapshots"]:
															self.assertTrue(os.path.isdir(os.path.join(_lowerCAmelCase	,  _lowerCAmelCase	)	)	)
										with open(os.path.join(_lowerCAmelCase	,  "refs"	,  "main"	)	) as f:
															lowerCamelCase__       =       f.read()
										self.assertEqual(_lowerCAmelCase	,  os.path.join(_lowerCAmelCase	,  "snapshots"	,  _lowerCAmelCase	,  _lowerCAmelCase	)	)
										self.assertTrue(os.path.isfile(_lowerCAmelCase	)	)

										# File is cached at the same place the second time.
										lowerCamelCase__       =       cached_file(_lowerCAmelCase	,  _lowerCAmelCase	)
										self.assertEqual(_lowerCAmelCase	,  _lowerCAmelCase	)

										# Using a specific revision to test the full commit hash.
										lowerCamelCase__       =       cached_file(_lowerCAmelCase	,  _lowerCAmelCase	,  revision="9b8c223"	)
										self.assertEqual(_lowerCAmelCase	,  os.path.join(_lowerCAmelCase	,  "snapshots"	,  _lowerCAmelCase	,  _lowerCAmelCase	)	)





					def 					__magic_name__ ( self	):
										with self.assertRaisesRegex(_lowerCAmelCase	,  "is not a valid model identifier"	):
															lowerCamelCase__       =       cached_file("tiny-random-bert"	,  _lowerCAmelCase	)

										with self.assertRaisesRegex(_lowerCAmelCase	,  "is not a valid git identifier"	):
															lowerCamelCase__       =       cached_file(_lowerCAmelCase	,  _lowerCAmelCase	,  revision="aaaa"	)

										with self.assertRaisesRegex(_lowerCAmelCase	,  "does not appear to have a file named"	):
															lowerCamelCase__       =       cached_file(_lowerCAmelCase	,  "conf"	)





					def 					__magic_name__ ( self	):
										with self.assertRaisesRegex(_lowerCAmelCase	,  "does not appear to have a file named"	):
															lowerCamelCase__       =       cached_file(_lowerCAmelCase	,  "conf"	)

										with open(os.path.join(_lowerCAmelCase	,  "refs"	,  "main"	)	) as f:
															lowerCamelCase__       =       f.read()
										self.assertTrue(os.path.isfile(os.path.join(_lowerCAmelCase	,  ".no_exist"	,  _lowerCAmelCase	,  "conf"	)	)	)

										lowerCamelCase__       =       cached_file(_lowerCAmelCase	,  "conf"	,  _raise_exceptions_for_missing_entries=_lowerCAmelCase	)
										self.assertIsNone(_lowerCAmelCase	)

										lowerCamelCase__       =       cached_file(_lowerCAmelCase	,  "conf"	,  local_files_only=_lowerCAmelCase	,  _raise_exceptions_for_missing_entries=_lowerCAmelCase	)
										self.assertIsNone(_lowerCAmelCase	)

										lowerCamelCase__       =       mock.Mock()
										lowerCamelCase__       =       500
										lowerCamelCase__       =       {}
										lowerCamelCase__       =       HTTPError
										lowerCamelCase__       =       {}

										# Under the mock environment we get a 500 error when trying to reach the tokenizer.
										with mock.patch("requests.Session.request"	,  return_value=_lowerCAmelCase	) as mock_head:
															lowerCamelCase__       =       cached_file(_lowerCAmelCase	,  "conf"	,  _raise_exceptions_for_connection_errors=_lowerCAmelCase	)
															self.assertIsNone(_lowerCAmelCase	)
															# This check we did call the fake head request
															mock_head.assert_called()





					def 					__magic_name__ ( self	):
										self.assertTrue(has_file("hf-internal-testing/tiny-bert-pt-only"	,  _lowerCAmelCase	)	)
										self.assertFalse(has_file("hf-internal-testing/tiny-bert-pt-only"	,  _lowerCAmelCase	)	)
										self.assertFalse(has_file("hf-internal-testing/tiny-bert-pt-only"	,  _lowerCAmelCase	)	)





					def 					__magic_name__ ( self	):
										# `get_file_from_repo` returns None if the file does not exist
										self.assertIsNone(get_file_from_repo("bert-base-cased"	,  "ahah.txt"	)	)

										# The function raises if the repository does not exist.
										with self.assertRaisesRegex(_lowerCAmelCase	,  "is not a valid model identifier"	):
															get_file_from_repo("bert-base-case"	,  _lowerCAmelCase	)

										# The function raises if the revision does not exist.
										with self.assertRaisesRegex(_lowerCAmelCase	,  "is not a valid git identifier"	):
															get_file_from_repo("bert-base-cased"	,  _lowerCAmelCase	,  revision="ahaha"	)

										lowerCamelCase__       =       get_file_from_repo("bert-base-cased"	,  _lowerCAmelCase	)
										# The name is the cached name which is not very easy to test, so instead we load the content.
										lowerCamelCase__       =       json.loads(open(_lowerCAmelCase	,  "r"	).read()	)
										self.assertEqual(config["hidden_size"]	,  768	)






					def 					__magic_name__ ( self	):
										with tempfile.TemporaryDirectory() as tmp_dir:
															lowerCamelCase__       =       Path(_lowerCAmelCase	) / "a.txt"
															filename.touch()
															self.assertEqual(get_file_from_repo(_lowerCAmelCase	,  "a.txt"	)	,  str(_lowerCAmelCase	)	)

															self.assertIsNone(get_file_from_repo(_lowerCAmelCase	,  "b.txt"	)	)








import importlib

import torch
import yaml
from omegaconf import OmegaConf
from taming.models.vqgan import VQModel





def    __UpperCamelCase      (    a,     a=False) ->Optional[Any]:
					lowerCamelCase__       =       OmegaConf.load(a)
					if display:
										print(yaml.dump(OmegaConf.to_container(a)))
					return config





def    __UpperCamelCase      (    a,     a=None,     a=None) ->List[Any]:
					if conf_path is None:
										lowerCamelCase__       =       "./model_checkpoints/vqgan_only.yaml"
					lowerCamelCase__       =       load_config(a,     display=a)
					lowerCamelCase__       =       VQModel(**config.model.params)
					if ckpt_path is None:
										lowerCamelCase__       =       "./model_checkpoints/vqgan_only.pt"
					lowerCamelCase__       =       torch.load(a,     map_location=a)
					if ".ckpt" in ckpt_path:
										lowerCamelCase__       =       sd["state_dict"]
					model.load_state_dict(a,     strict=a)
					model.to(a)
					del sd
					return model





def    __UpperCamelCase      (    a,     a) ->int:
					lowerCamelCase__    ,		lowerCamelCase__    ,		lowerCamelCase__       =       model.encode(a)
					print(f"VQGAN --- {model.__class__.__name__}: latent shape: {z.shape[2:]}")
					lowerCamelCase__       =       model.decode(a)
					return xrec





def    __UpperCamelCase      (    a,     a=False) ->Dict:
					lowerCamelCase__    ,		lowerCamelCase__       =       string.rsplit(".",     1)
					if reload:
										lowerCamelCase__       =       importlib.import_module(a)
										importlib.reload(a)
					return getattr(importlib.import_module(a,     package=a),     cls)





def    __UpperCamelCase      (    a) ->int:
					if "target" not in config:
										raise KeyError("Expected key `target` to instantiate.")
					return get_obj_from_str(config["target"])(**config.get("params",     {}))





def    __UpperCamelCase      (    a,     a,     a=True,     a=True) ->Optional[Any]:
					lowerCamelCase__       =       instantiate_from_config(a)
					if sd is not None:
										model.load_state_dict(a)
					if gpu:
										model.cuda()
					if eval_mode:
										model.eval()
					return {"model": model}







def    __UpperCamelCase      (    a,     a,     a,     a) ->Dict:
					# load the specified checkpoint
					if ckpt:
										lowerCamelCase__       =       torch.load(a,     map_location="cpu")
										lowerCamelCase__       =       pl_sd["global_step"]
										print(f"loaded model from global step {global_step}.")
					else:
										lowerCamelCase__       =       {"state_dict": None}
										lowerCamelCase__       =       None
					lowerCamelCase__       =       load_model_from_config(config.model,     pl_sd["state_dict"],     gpu=a,     eval_mode=a)["model"]
					return model, global_step

