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# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
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"""
Imaginaire4 Attention Subpackage:
Unified implementation for all Attention implementations.

Safe logging utilities: logging should be disabled when in a torch.compiled
region.
"""

from cosmos_predict2._src.imaginaire.attention.utils.environment import is_torch_compiling
from cosmos_predict2._src.imaginaire.utils import log


def trace(message: str, rank0_only: bool = True) -> None:
    if not is_torch_compiling():
        log.trace(message=message, rank0_only=rank0_only)


def debug(message: str, rank0_only: bool = True) -> None:
    if not is_torch_compiling():
        log.debug(message=message, rank0_only=rank0_only)


def info(message: str, rank0_only: bool = True) -> None:
    if not is_torch_compiling():
        log.info(message=message, rank0_only=rank0_only)


def success(message: str, rank0_only: bool = True) -> None:
    if not is_torch_compiling():
        log.success(message=message, rank0_only=rank0_only)


def warning(message: str, rank0_only: bool = True) -> None:
    if not is_torch_compiling():
        log.warning(message=message, rank0_only=rank0_only)


def error(message: str, rank0_only: bool = True) -> None:
    if not is_torch_compiling():
        log.critical(message=message, rank0_only=rank0_only)


def critical(message: str, rank0_only: bool = True) -> None:
    if not is_torch_compiling():
        log.critical(message=message, rank0_only=rank0_only)


def exception(message: str, rank0_only: bool = True) -> None:
    if not is_torch_compiling():
        log.exception(message=message, rank0_only=rank0_only)