






import re
import tempfile
from pathlib import Path

import pytest
import yaml

from datasets.utils.readme import ReadMe


# @pytest.fixture
# def example_yaml_structure():

SCREAMING_SNAKE_CASE__		:							List[str] 				=				yaml.safe_load(
    """\
name: \"\"
allow_empty: false
allow_empty_text: true
subsections:
  - name: \"Dataset Card for X\" # First-level markdown heading
    allow_empty: false
    allow_empty_text: true
    subsections:
      - name: \"Table of Contents\"
        allow_empty: false
        allow_empty_text: false
        subsections: null
      - name: \"Dataset Description\"
        allow_empty: false
        allow_empty_text: false
        subsections:
          - name: \"Dataset Summary\"
            allow_empty: false
            allow_empty_text: false
            subsections: null
          - name: \"Supported Tasks and Leaderboards\"
            allow_empty: true
            allow_empty_text: true
            subsections: null
          - name: Languages
            allow_empty: false
            allow_empty_text: true
            subsections: null
"""
)


SCREAMING_SNAKE_CASE__		:							Dict 				=				{
    """name""": """root""",
    """text""": """""",
    """is_empty_text""": True,
    """subsections""": [
        {
            """name""": """Dataset Card for My Dataset""",
            """text""": """""",
            """is_empty_text""": True,
            """subsections""": [
                {"""name""": """Table of Contents""", """text""": """Some text here.""", """is_empty_text""": False, """subsections""": []},
                {
                    """name""": """Dataset Description""",
                    """text""": """Some text here.""",
                    """is_empty_text""": False,
                    """subsections""": [
                        {
                            """name""": """Dataset Summary""",
                            """text""": """Some text here.""",
                            """is_empty_text""": False,
                            """subsections""": [],
                        },
                        {
                            """name""": """Supported Tasks and Leaderboards""",
                            """text""": """""",
                            """is_empty_text""": True,
                            """subsections""": [],
                        },
                        {"""name""": """Languages""", """text""": """Language Text""", """is_empty_text""": False, """subsections""": []},
                    ],
                },
            ],
        }
    ],
}


SCREAMING_SNAKE_CASE__		:							str 				=				"""\
---
language:
- zh
- en
---

# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
Language Text
"""


SCREAMING_SNAKE_CASE__		:							Optional[int] 				=				"""\
---
language:
- zh
- en
---

# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
#### Extra Ignored Subsection
### Supported Tasks and Leaderboards
### Languages
Language Text
"""

SCREAMING_SNAKE_CASE__		:							List[Any] 				=				{
    """name""": """root""",
    """text""": """""",
    """is_empty_text""": True,
    """subsections""": [
        {
            """name""": """Dataset Card for My Dataset""",
            """text""": """""",
            """is_empty_text""": True,
            """subsections""": [
                {"""name""": """Table of Contents""", """text""": """Some text here.""", """is_empty_text""": False, """subsections""": []},
                {
                    """name""": """Dataset Description""",
                    """text""": """Some text here.""",
                    """is_empty_text""": False,
                    """subsections""": [
                        {
                            """name""": """Dataset Summary""",
                            """text""": """Some text here.""",
                            """is_empty_text""": False,
                            """subsections""": [
                                {
                                    """name""": """Extra Ignored Subsection""",
                                    """text""": """""",
                                    """is_empty_text""": True,
                                    """subsections""": [],
                                }
                            ],
                        },
                        {
                            """name""": """Supported Tasks and Leaderboards""",
                            """text""": """""",
                            """is_empty_text""": True,
                            """subsections""": [],
                        },
                        {"""name""": """Languages""", """text""": """Language Text""", """is_empty_text""": False, """subsections""": []},
                    ],
                },
            ],
        }
    ],
}

SCREAMING_SNAKE_CASE__		:							List[str] 				=				"""\
---
---
# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
Language Text
"""

SCREAMING_SNAKE_CASE__		:							List[str] 				=				(
    """The following issues were found for the README at `{path}`:\n-\tEmpty YAML markers are present in the README."""
)

SCREAMING_SNAKE_CASE__		:							Dict 				=				"""\
# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
Language Text
"""

SCREAMING_SNAKE_CASE__		:							List[str] 				=				(
    """The following issues were found for the README at `{path}`:\n-\tNo YAML markers are present in the README."""
)

SCREAMING_SNAKE_CASE__		:							Union[str, Any] 				=				"""\
---
# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
Language Text
"""

SCREAMING_SNAKE_CASE__		:							Optional[int] 				=				"""The following issues were found for the README at `{path}`:\n-\tOnly the start of YAML tags present in the README."""

SCREAMING_SNAKE_CASE__		:							Tuple 				=				"""\
---
language:
- zh
- en
---

# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
### Supported Tasks and Leaderboards
### Languages
Language Text
"""
SCREAMING_SNAKE_CASE__		:							Union[str, Any] 				=				"""The following issues were found for the README at `{path}`:\n-\tExpected some content in section `Dataset Summary` but it is empty.\n-\tExpected some text in section `Dataset Summary` but it is empty (text in subsections are ignored)."""


SCREAMING_SNAKE_CASE__		:							List[Any] 				=				"""\
---
language:
- zh
- en
---

# Dataset Card for My Dataset
"""
SCREAMING_SNAKE_CASE__		:							str 				=				"""The following issues were found for the README at `{path}`:\n-\tExpected some content in section `Dataset Card for My Dataset` but it is empty.\n-\tSection `Dataset Card for My Dataset` expected the following subsections: `Table of Contents`, `Dataset Description`. Found 'None'."""

SCREAMING_SNAKE_CASE__		:							Dict 				=				"""\
---
language:
- zh
- en
---

# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Languages
Language Text
"""

SCREAMING_SNAKE_CASE__		:							Tuple 				=				"""The following issues were found for the README at `{path}`:\n-\tSection `Dataset Description` is missing subsection: `Supported Tasks and Leaderboards`."""


SCREAMING_SNAKE_CASE__		:							Optional[int] 				=				"""\
---
language:
- zh
- en
---

# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
"""

SCREAMING_SNAKE_CASE__		:							Optional[Any] 				=				"""The following issues were found for the README at `{path}`:\n-\tExpected some content in section `Languages` but it is empty."""

SCREAMING_SNAKE_CASE__		:							Optional[int] 				=				"""\
---
language:
- zh
- en
---

## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
Language Text
"""
SCREAMING_SNAKE_CASE__		:							Union[str, Any] 				=				"""The following issues were found for the README at `{path}`:\n-\tThe README has no first-level headings. One heading is expected. Skipping further validation for this README."""

SCREAMING_SNAKE_CASE__		:							List[Any] 				=				"""\
---
language:
- zh
- en
---

# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
Language Text
# Dataset Card My Dataset
"""

SCREAMING_SNAKE_CASE__		:							Union[str, Any] 				=				"""The following issues were found for the README at `{path}`:\n-\tThe README has several first-level headings: `Dataset Card for My Dataset`, `Dataset Card My Dataset`. Only one heading is expected. Skipping further validation for this README."""

SCREAMING_SNAKE_CASE__		:							Optional[int] 				=				"""\
---
language:
- zh
- en
---

# Dataset Card My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
Language Text
"""

SCREAMING_SNAKE_CASE__		:							List[str] 				=				"""The following issues were found for the README at `{path}`:\n-\tNo first-level heading starting with `Dataset Card for` found in README. Skipping further validation for this README."""

SCREAMING_SNAKE_CASE__		:							Tuple 				=				""""""

SCREAMING_SNAKE_CASE__		:							Optional[Any] 				=				"""The following issues were found for the README at `{path}`:\n-\tThe README has no first-level headings. One heading is expected. Skipping further validation for this README.\n-\tNo YAML markers are present in the README."""

SCREAMING_SNAKE_CASE__		:							Tuple 				=				"""\
---
language:
- zh
- en
---

# Dataset Card for My Dataset
# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
Language Text
"""

SCREAMING_SNAKE_CASE__		:							Optional[int] 				=				"""The following issues were found while parsing the README at `{path}`:\n-\tMultiple sections with the same heading `Dataset Card for My Dataset` have been found. Please keep only one of these sections."""





@pytest.mark.parametrize(
    """readme_md, expected_dict""" ,							[
        (README_CORRECT, CORRECT_DICT),
        (README_CORRECT_FOUR_LEVEL, CORRECT_DICT_FOUR_LEVEL),
    ] ,							)
def  _lowerCamelCase						(						__lowerCamelCase ,							__lowerCamelCase       ) ->			List[str]:

     '''simple docstring'''
     assert ReadMe.from_string(__lowerCamelCase ,							__lowerCamelCase       ).to_dict() == expected_dict





@pytest.mark.parametrize(
    """readme_md, expected_error""" ,							[
        (README_NO_YAML, EXPECTED_ERROR_README_NO_YAML),
        (README_EMPTY_YAML, EXPECTED_ERROR_README_EMPTY_YAML),
        (README_INCORRECT_YAML, EXPECTED_ERROR_README_INCORRECT_YAML),
        (README_EMPTY, EXPECTED_ERROR_README_EMPTY),
        (README_NONE_SUBSECTION, EXPECTED_ERROR_README_NONE_SUBSECTION),
        (README_MISSING_FIRST_LEVEL, EXPECTED_ERROR_README_MISSING_FIRST_LEVEL),
        (README_MISSING_SUBSECTION, EXPECTED_ERROR_README_MISSING_SUBSECTION),
        (README_MISSING_TEXT, EXPECTED_ERROR_README_MISSING_TEXT),
        (README_WRONG_FIRST_LEVEL, EXPECTED_ERROR_README_WRONG_FIRST_LEVEL),
        (README_MULTIPLE_WRONG_FIRST_LEVEL, EXPECTED_ERROR_README_MULTIPLE_WRONG_FIRST_LEVEL),
        (README_MISSING_CONTENT, EXPECTED_ERROR_README_MISSING_CONTENT),
    ] ,							)
def  _lowerCamelCase						(						__lowerCamelCase ,							__lowerCamelCase       ) ->			Tuple:

     '''simple docstring'''
     with pytest.raises(__lowerCamelCase ,							match=re.escape(expected_error.format(path="""root"""       )       )       ):
          UpperCAmelCase__      :  str				      =			ReadMe.from_string(__lowerCamelCase ,							__lowerCamelCase       )
          readme.validate()





@pytest.mark.parametrize(
    """readme_md, expected_error""" ,							[
        (README_MULTIPLE_SAME_HEADING_1, EXPECTED_ERROR_README_MULTIPLE_SAME_HEADING_1),
    ] ,							)
def  _lowerCamelCase						(						__lowerCamelCase ,							__lowerCamelCase       ) ->			Union[str, Any]:

     '''simple docstring'''
     with pytest.raises(__lowerCamelCase ,							match=re.escape(expected_error.format(path="""root"""       )       )       ):
          ReadMe.from_string(__lowerCamelCase ,							__lowerCamelCase       )





@pytest.mark.parametrize(
    """readme_md,""" ,							[
        (README_MULTIPLE_SAME_HEADING_1),
    ] ,							)
def  _lowerCamelCase						(						__lowerCamelCase       ) ->			Any:

     '''simple docstring'''
     ReadMe.from_string(__lowerCamelCase ,							__lowerCamelCase ,							suppress_parsing_errors=__lowerCamelCase       )





@pytest.mark.parametrize(
    """readme_md, expected_dict""" ,							[
        (README_CORRECT, CORRECT_DICT),
        (README_CORRECT_FOUR_LEVEL, CORRECT_DICT_FOUR_LEVEL),
    ] ,							)
def  _lowerCamelCase						(						__lowerCamelCase ,							__lowerCamelCase       ) ->			Optional[Any]:

     '''simple docstring'''
     with tempfile.TemporaryDirectory() as tmp_dir:
          UpperCAmelCase__      :  List[Any]				      =			Path(__lowerCamelCase       ) / """README.md"""
          with open(__lowerCamelCase ,							"""w+"""       ) as readme_file:
               readme_file.write(__lowerCamelCase       )
          UpperCAmelCase__      :  str				      =			ReadMe.from_readme(__lowerCamelCase ,							__lowerCamelCase       ).to_dict()
          assert out["name"] == path
          assert out["text"] == ""
          assert out["is_empty_text"]
          assert out["subsections"] == expected_dict["subsections"]





@pytest.mark.parametrize(
    """readme_md, expected_error""" ,							[
        (README_NO_YAML, EXPECTED_ERROR_README_NO_YAML),
        (README_EMPTY_YAML, EXPECTED_ERROR_README_EMPTY_YAML),
        (README_INCORRECT_YAML, EXPECTED_ERROR_README_INCORRECT_YAML),
        (README_EMPTY, EXPECTED_ERROR_README_EMPTY),
        (README_NONE_SUBSECTION, EXPECTED_ERROR_README_NONE_SUBSECTION),
        (README_MISSING_FIRST_LEVEL, EXPECTED_ERROR_README_MISSING_FIRST_LEVEL),
        (README_MISSING_SUBSECTION, EXPECTED_ERROR_README_MISSING_SUBSECTION),
        (README_MISSING_TEXT, EXPECTED_ERROR_README_MISSING_TEXT),
        (README_WRONG_FIRST_LEVEL, EXPECTED_ERROR_README_WRONG_FIRST_LEVEL),
        (README_MULTIPLE_WRONG_FIRST_LEVEL, EXPECTED_ERROR_README_MULTIPLE_WRONG_FIRST_LEVEL),
        (README_MISSING_CONTENT, EXPECTED_ERROR_README_MISSING_CONTENT),
    ] ,							)
def  _lowerCamelCase						(						__lowerCamelCase ,							__lowerCamelCase       ) ->			Optional[int]:

     '''simple docstring'''
     with tempfile.TemporaryDirectory() as tmp_dir:
          UpperCAmelCase__      :  str				      =			Path(__lowerCamelCase       ) / """README.md"""
          with open(__lowerCamelCase ,							"""w+"""       ) as readme_file:
               readme_file.write(__lowerCamelCase       )
          UpperCAmelCase__      :  int				      =			expected_error.format(path=__lowerCamelCase       )
          with pytest.raises(__lowerCamelCase ,							match=re.escape(__lowerCamelCase       )       ):
               UpperCAmelCase__      :  str				      =			ReadMe.from_readme(__lowerCamelCase ,							__lowerCamelCase       )
               readme.validate()





@pytest.mark.parametrize(
    """readme_md, expected_error""" ,							[
        (README_MULTIPLE_SAME_HEADING_1, EXPECTED_ERROR_README_MULTIPLE_SAME_HEADING_1),
    ] ,							)
def  _lowerCamelCase						(						__lowerCamelCase ,							__lowerCamelCase       ) ->			List[Any]:

     '''simple docstring'''
     with tempfile.TemporaryDirectory() as tmp_dir:
          UpperCAmelCase__      :  int				      =			Path(__lowerCamelCase       ) / """README.md"""
          with open(__lowerCamelCase ,							"""w+"""       ) as readme_file:
               readme_file.write(__lowerCamelCase       )
          UpperCAmelCase__      :  List[str]				      =			expected_error.format(path=__lowerCamelCase       )
          with pytest.raises(__lowerCamelCase ,							match=re.escape(__lowerCamelCase       )       ):
               ReadMe.from_readme(__lowerCamelCase ,							__lowerCamelCase       )







@pytest.mark.parametrize(
    """readme_md,""" ,							[
        (README_MULTIPLE_SAME_HEADING_1),
    ] ,							)
def  _lowerCamelCase						(						__lowerCamelCase       ) ->			Tuple:

     '''simple docstring'''
     with tempfile.TemporaryDirectory() as tmp_dir:
          UpperCAmelCase__      :  List[str]				      =			Path(__lowerCamelCase       ) / """README.md"""
          with open(__lowerCamelCase ,							"""w+"""       ) as readme_file:
               readme_file.write(__lowerCamelCase       )
          ReadMe.from_readme(__lowerCamelCase ,							__lowerCamelCase ,							suppress_parsing_errors=__lowerCamelCase       )







'''simple docstring'''

import importlib

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



def snake_case_      (					__snake_case  :							Union[str, Any]	,   __snake_case  :							Union[str, Any]=False)			->					Optional[int]:
   lowerCAmelCase_			=      OmegaConf.load(__snake_case)
   if display:
      print(yaml.dump(OmegaConf.to_container(__snake_case)))
   return config



def snake_case_      (					__snake_case  :							Any	,   __snake_case  :							Optional[int]=None	,   __snake_case  :							str=None)			->					str:
   if conf_path is None:
      lowerCAmelCase_			=      '''./model_checkpoints/vqgan_only.yaml'''
   lowerCAmelCase_			=      load_config(__snake_case	,   display=__snake_case)
   lowerCAmelCase_			=      VQModel(**config.model.params)
   if ckpt_path is None:
      lowerCAmelCase_			=      '''./model_checkpoints/vqgan_only.pt'''
   lowerCAmelCase_			=      torch.load(__snake_case	,   map_location=__snake_case)
   if ".ckpt" in ckpt_path:
      lowerCAmelCase_			=      sd['''state_dict''']
   model.load_state_dict(__snake_case	,   strict=__snake_case)
   model.to(__snake_case)
   del sd
   return model



def snake_case_      (					__snake_case  :							Union[str, Any]	,   __snake_case  :							str)			->					Optional[int]:
   lowerCAmelCase_	,lowerCAmelCase_	,lowerCAmelCase_			=      model.encode(__snake_case)
   print(F'''VQGAN --- {model.__class__.__name__}: latent shape: {z.shape[2:]}''')
   lowerCAmelCase_			=      model.decode(__snake_case)
   return xrec



def snake_case_      (					__snake_case  :							int	,   __snake_case  :							List[Any]=False)			->					Union[str, Any]:
   lowerCAmelCase_	,lowerCAmelCase_			=      string.rsplit('''.'''	,   1)
   if reload:
      lowerCAmelCase_			=      importlib.import_module(__snake_case)
      importlib.reload(__snake_case)
   return getattr(importlib.import_module(__snake_case	,   package=__snake_case)	,   cls)



def snake_case_      (					__snake_case  :							Tuple)			->					Union[str, Any]:
   if "target" not in config:
      raise KeyError('''Expected key `target` to instantiate.''')
   return get_obj_from_str(config['''target'''])(**config.get('''params'''	,   {}))



def snake_case_      (					__snake_case  :							Optional[int]	,   __snake_case  :							Any	,   __snake_case  :							Optional[int]=True	,   __snake_case  :							Any=True)			->					List[str]:
   lowerCAmelCase_			=      instantiate_from_config(__snake_case)
   if sd is not None:
      model.load_state_dict(__snake_case)
   if gpu:
      model.cuda()
   if eval_mode:
      model.eval()
   return {"model": model}






def snake_case_      (					__snake_case  :							Any	,   __snake_case  :							Optional[int]	,   __snake_case  :							Dict	,   __snake_case  :							str)			->					Any:
   # load the specified checkpoint
   if ckpt:
      lowerCAmelCase_			=      torch.load(__snake_case	,   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=__snake_case	,   eval_mode=__snake_case)['''model''']
   return model, global_step





