utils.py

import logging
import sys
from textwrap import TextWrapper

import datasets
import huggingface_hub
import matplotlib.font_manager as font_manager
import matplotlib.pyplot as plt
import torch
import transformers
from IPython.display import set_matplotlib_formats

# TODO: Consider adding SageMaker StudioLab
is_colab = "google.colab" in sys.modules
is_kaggle = "kaggle_secrets" in sys.modules
is_gpu_available = torch.cuda.is_available()


def install_mpl_fonts():
    font_dir = ["./orm_fonts/"]
    for font in font_manager.findSystemFonts(font_dir):
        font_manager.fontManager.addfont(font)


def set_plot_style():
    install_mpl_fonts()
    set_matplotlib_formats("pdf", "svg")
    plt.style.use("plotting.mplstyle")
    logging.getLogger("matplotlib").setLevel(level=logging.ERROR)


def display_library_version(library):
    print(f"Using {library.__name__} v{library.__version__}")

'''
def setup_chapter():
    # Check if we have a GPU
    if not is_gpu_available:
        print("No GPU was detected! This notebook can be *very* slow without a GPU 🐢")
        if is_colab:
            print("Go to Runtime > Change runtime type and select a GPU hardware accelerator.")
        if is_kaggle:
            print("Go to Settings > Accelerator and select GPU.")
'''
is_gpu_available = torch.backends.mps.is_available()



def setup_chapter():
    # 检查 MPS 后端（Mac GPU）
    if not is_gpu_available:
        print("No GPU (MPS) was detected! This notebook can be *very* slow without a GPU 🐢")
    else:
        print("Using MacBook GPU (MPS) backend for acceleration 🚀")
    # 显示库的版本
    display_library_version(transformers)
    display_library_version(datasets)
    # 禁用所有 info/warning 消息
    transformers.logging.set_verbosity_error()
    datasets.logging.set_verbosity_error()
    # 使用 O'Reilly 风格绘图
    set_plot_style()

    
    # Give visibility on versions of the core libraries
    display_library_version(transformers)
    display_library_version(datasets)
    # Disable all info / warning messages
    transformers.logging.set_verbosity_error()
    datasets.logging.set_verbosity_error()
    # Logging is only available for the chapters that don't depend on Haystack
    if huggingface_hub.__version__ == "0.0.19":
        huggingface_hub.logging.set_verbosity_error()
    # Use O'Reilly style for plots
    set_plot_style()


def wrap_print_text(print):
    """Adapted from: https://stackoverflow.com/questions/27621655/how-to-overload-print-function-to-expand-its-functionality/27621927"""

    def wrapped_func(text):
        if not isinstance(text, str):
            text = str(text)
        wrapper = TextWrapper(
            width=80,
            break_long_words=True,
            break_on_hyphens=False,
            replace_whitespace=False,
        )
        return print("\n".join(wrapper.fill(line) for line in text.split("\n")))

    return wrapped_func


print = wrap_print_text(print)