delete dead code

bitsandbytes/cextension.py

@@ -83,81 +83,6 @@ def parse_cuda_version(version_str: str) -> str:
     return version_str  # fallback as safety net
 
 
-def _format_lib_error_message(
-    available_versions: list[str],
-    user_cuda_version: str,
-    original_error: str = "",
-    requested_version: Optional[str] = None,
-) -> str:
-    analysis = ""
-    no_cpu_lib_found = "libbitsandbytes_cpu.so: cannot open" in original_error
-    no_cuda_lib_found = requested_version not in available_versions
-
-    if no_cpu_lib_found:
-        analysis = "🚨 Failed to load CPU-only bitsandbytes library 🚨\n\n"
-
-    elif no_cuda_lib_found:
-        version_list_str = "\n  - " + "\n  - ".join(available_versions) if available_versions else "NONE"
-        analysis = (
-            f"🚨 CUDA VERSION MISMATCH 🚨\n"
-            f"Requested CUDA version:          {requested_version}\n"
-            f"Detected PyTorch CUDA version:   {user_cuda_version}\n"
-            f"Available pre-compiled versions: {version_list_str}\n\n"
-            "This means:\n"
-            "The version you're trying to use is NOT distributed with this package\n\n"
-            if available_versions
-            else "1. You're not using the package but checked-out the source code\n"
-            "2. You MUST compile from source for this specific CUDA version\n"
-            "3. The installation will NOT work until you compile or choose a CUDA supported version via `export BNB_CUDA_VERSION=<version>`\n\n"
-        )
-
-    base_msg = "Attempted to use bitsandbytes native library functionality but it's not available.\n\n"
-
-    troubleshooting = (
-        (
-            "This typically happens when:\n"
-            "1. bitsandbytes doesn't ship with a pre-compiled binary for your CUDA version\n"
-            "2. The library wasn't compiled properly during installation from source\n"
-            "3. Missing CUDA dependencies\n\n"
-        )
-        if no_cuda_lib_found
-        else "This typically happens when you checked the code out from source and your torch installation doesn't detect CUDA on your machine.\n\n"
-    )
-
-    note = (
-        (
-            "To make bitsandbytes work, the compiled library version MUST exactly match the linked CUDA version.\n"
-            "If your CUDA version doesn't have a pre-compiled binary, you MUST compile from source.\n\n"
-        )
-        if no_cuda_lib_found
-        else ""
-    )
-
-    compile_instructions = (
-        (
-            "You have three options:\n"
-            "1. COMPILE FROM SOURCE (required if no binary exists):\n"
-            "   https://huggingface.co/docs/bitsandbytes/main/en/installation#cuda-compile\n"
-            "2. Use BNB_CUDA_VERSION to specify a DIFFERENT CUDA version from the detected one, which is installed on your machine and matching an available pre-compiled version listed above\n"
-            "3. Check LD_LIBRARY_PATH contains the correct CUDA libraries\n\n"
-        )
-        if no_cuda_lib_found
-        else "COMPILE FROM SOURCE for CPU-only:\n  `cmake -DCOMPUTE_BACKEND=cpu -S . && make`\n\n"
-    )
-
-    diagnostics = (
-        "🔍 Run this command for detailed diagnostics:\n"
-        "python -m bitsandbytes\n\n"
-        "If you've tried everything and still have issues:\n"
-        "1. Include ALL version info (operating system, bitsandbytes, pytorch, cuda, python)\n"
-        "2. Describe what you've tried in detail\n"
-        "3. Open an issue with this information:\n"
-        "   https://github.com/bitsandbytes-foundation/bitsandbytes/issues\n\n"
-    )
-
-    return f"{analysis}{base_msg}{troubleshooting}{note}{compile_instructions}{original_error}\n{diagnostics}"
-
-
 class ErrorHandlerMockBNBNativeLibrary(BNBNativeLibrary):
     """
     Mock BNBNativeLibrary that raises an error when trying to use native library