## This file is made so that specific statements may be copied inside existing files. This is useful to copy
## import statements in __init__.py, or to complete model lists in the AUTO files.
##
## It is to be used as such:
## Put '# To replace in: "FILE_PATH"' in order to indicate the contents will be copied in the file at path FILE_PATH
## Put '# Below: "STATEMENT"' in order to copy the contents below **the first occurence** of that line in the file at FILE_PATH
## Put '# Replace with:' followed by the lines containing the content to define the content
## End a statement with '# End.'. If starting a new statement without redefining the FILE_PATH, it will continue pasting
## content in that file.
##
## Put '## COMMENT' to comment on the file.


# To replace in: "src/transformers/__init__.py"
# Below: "if is_torch_available():" if generating PyTorch
# Replace with:
    from .models.{{cookiecutter.lowercase_modelname}} import (
        {{cookiecutter.uppercase_modelname}}_PRETRAINED_MODEL_ARCHIVE_LIST,
        {{cookiecutter.camelcase_modelname}}ForMaskedLM,
        {{cookiecutter.camelcase_modelname}}ForMultipleChoice,
        {{cookiecutter.camelcase_modelname}}ForQuestionAnswering,
        {{cookiecutter.camelcase_modelname}}ForSequenceClassification,
        {{cookiecutter.camelcase_modelname}}ForTokenClassification,
        {{cookiecutter.camelcase_modelname}}Layer,
        {{cookiecutter.camelcase_modelname}}Model,
        {{cookiecutter.camelcase_modelname}}PreTrainedModel,
        load_tf_weights_in_{{cookiecutter.lowercase_modelname}},
    )
# End.

# Below: "if is_tf_available():" if generating TensorFlow
# Replace with:
    from .models.{{cookiecutter.lowercase_modelname}} import (
        TF_{{cookiecutter.uppercase_modelname}}_PRETRAINED_MODEL_ARCHIVE_LIST,
        TF{{cookiecutter.camelcase_modelname}}ForMaskedLM,
        TF{{cookiecutter.camelcase_modelname}}ForMultipleChoice,
        TF{{cookiecutter.camelcase_modelname}}ForQuestionAnswering,
        TF{{cookiecutter.camelcase_modelname}}ForSequenceClassification,
        TF{{cookiecutter.camelcase_modelname}}ForTokenClassification,
        TF{{cookiecutter.camelcase_modelname}}Layer,
        TF{{cookiecutter.camelcase_modelname}}Model,
        TF{{cookiecutter.camelcase_modelname}}PreTrainedModel,
    )
# End.


# Below: "from .models.albert import ALBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, AlbertConfig"
# Replace with:
from .models.{{cookiecutter.lowercase_modelname}} import {{cookiecutter.uppercase_modelname}}_PRETRAINED_CONFIG_ARCHIVE_MAP, {{cookiecutter.camelcase_modelname}}Config
# End.



# To replace in: "src/transformers/models/auto/configuration_auto.py"
# Below: "# Add configs here"
# Replace with:
        ("{{cookiecutter.lowercase_modelname}}", {{cookiecutter.camelcase_modelname}}Config),
# End.

# Below: "# Add archive maps here"
# Replace with:
        {{cookiecutter.uppercase_modelname}}_PRETRAINED_CONFIG_ARCHIVE_MAP,
# End.

# Below: "from ..albert.configuration_albert import ALBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, AlbertConfig",
# Replace with:
from ..{{cookiecutter.lowercase_modelname}}.configuration_{{cookiecutter.lowercase_modelname}} import {{cookiecutter.uppercase_modelname}}_PRETRAINED_CONFIG_ARCHIVE_MAP, {{cookiecutter.camelcase_modelname}}Config
# End.

# Below: "# Add full (and cased) model names here"
# Replace with:
        ("{{cookiecutter.lowercase_modelname}}", "{{cookiecutter.camelcase_modelname}}"),
# End.



# To replace in: "src/transformers/models/auto/modeling_auto.py" if generating PyTorch
# Below: "from .configuration_auto import ("
# Replace with:
    {{cookiecutter.camelcase_modelname}}Config,
# End.

# Below: "# Add modeling imports here"
# Replace with:

from ..{{cookiecutter.lowercase_modelname}}.modeling_{{cookiecutter.lowercase_modelname}} import (
    {{cookiecutter.camelcase_modelname}}ForMaskedLM,
    {{cookiecutter.camelcase_modelname}}ForMultipleChoice,
    {{cookiecutter.camelcase_modelname}}ForQuestionAnswering,
    {{cookiecutter.camelcase_modelname}}ForSequenceClassification,
    {{cookiecutter.camelcase_modelname}}ForTokenClassification,
    {{cookiecutter.camelcase_modelname}}Model,
)
# End.

# Below: "# Base model mapping"
# Replace with:
        ({{cookiecutter.camelcase_modelname}}Config, {{cookiecutter.camelcase_modelname}}Model),
# End.

# Below: "# Model with LM heads mapping"
# Replace with:
        ({{cookiecutter.camelcase_modelname}}Config, {{cookiecutter.camelcase_modelname}}ForMaskedLM),
# End.

# Below: "# Model for Masked LM mapping"
# Replace with:
        ({{cookiecutter.camelcase_modelname}}Config, {{cookiecutter.camelcase_modelname}}ForMaskedLM),
# End.

# Below: "# Model for Sequence Classification mapping"
# Replace with:
        ({{cookiecutter.camelcase_modelname}}Config, {{cookiecutter.camelcase_modelname}}ForSequenceClassification),
# End.

# Below: "# Model for Question Answering mapping"
# Replace with:
        ({{cookiecutter.camelcase_modelname}}Config, {{cookiecutter.camelcase_modelname}}ForQuestionAnswering),
# End.

# Below: "# Model for Token Classification mapping"
# Replace with:
        ({{cookiecutter.camelcase_modelname}}Config, {{cookiecutter.camelcase_modelname}}ForTokenClassification),
# End.

# Below: "# Model for Multiple Choice mapping"
# Replace with:
        ({{cookiecutter.camelcase_modelname}}Config, {{cookiecutter.camelcase_modelname}}ForMultipleChoice),
# End.


# To replace in: "src/transformers/models/auto/modeling_tf_auto.py" if generating TensorFlow
# Below: "from .configuration_auto import ("
# Replace with:
    {{cookiecutter.camelcase_modelname}}Config,
# End.

# Below: "# Add modeling imports here"
# Replace with:

from ..{{cookiecutter.lowercase_modelname}}.modeling_tf_{{cookiecutter.lowercase_modelname}} import (
    TF{{cookiecutter.camelcase_modelname}}ForMaskedLM,
    TF{{cookiecutter.camelcase_modelname}}ForMultipleChoice,
    TF{{cookiecutter.camelcase_modelname}}ForQuestionAnswering,
    TF{{cookiecutter.camelcase_modelname}}ForSequenceClassification,
    TF{{cookiecutter.camelcase_modelname}}ForTokenClassification,
    TF{{cookiecutter.camelcase_modelname}}Model,
)
# End.

# Below: "# Base model mapping"
# Replace with:
        ({{cookiecutter.camelcase_modelname}}Config, TF{{cookiecutter.camelcase_modelname}}Model),
# End.

# Below: "# Model with LM heads mapping"
# Replace with:
        ({{cookiecutter.camelcase_modelname}}Config, TF{{cookiecutter.camelcase_modelname}}ForMaskedLM),
# End.

# Below: "# Model for Masked LM mapping"
# Replace with:
        ({{cookiecutter.camelcase_modelname}}Config, TF{{cookiecutter.camelcase_modelname}}ForMaskedLM),
# End.

# Below: "# Model for Sequence Classification mapping"
# Replace with:
        ({{cookiecutter.camelcase_modelname}}Config, TF{{cookiecutter.camelcase_modelname}}ForSequenceClassification),
# End.

# Below: "# Model for Question Answering mapping"
# Replace with:
        ({{cookiecutter.camelcase_modelname}}Config, TF{{cookiecutter.camelcase_modelname}}ForQuestionAnswering),
# End.

# Below: "# Model for Token Classification mapping"
# Replace with:
        ({{cookiecutter.camelcase_modelname}}Config, TF{{cookiecutter.camelcase_modelname}}ForTokenClassification),
# End.

# Below: "# Model for Multiple Choice mapping"
# Replace with:
        ({{cookiecutter.camelcase_modelname}}Config, TF{{cookiecutter.camelcase_modelname}}ForMultipleChoice),
# End.
