From 59f5a27fc51b46c6802e996b03b29d4c88cec7be Mon Sep 17 00:00:00 2001
From: Francis Couture-Harpin <git@compilade.net>
Date: Wed, 8 May 2024 23:20:51 -0400
Subject: [PATCH] gguf-py : flake8 fixes

---
 convert-hf-to-gguf.py | 2 +-
 gguf-py/gguf/lazy.py  | 9 ++++-----
 2 files changed, 5 insertions(+), 6 deletions(-)

diff --git a/convert-hf-to-gguf.py b/convert-hf-to-gguf.py
index 64dd5dd99..fd5417667 100755
--- a/convert-hf-to-gguf.py
+++ b/convert-hf-to-gguf.py
@@ -65,7 +65,7 @@ class Model:
     model_arch: gguf.MODEL_ARCH
 
     def __init__(self, dir_model: Path, ftype: int, fname_out: Path, is_big_endian: bool, use_temp_file: bool, eager: bool):
-        if type(self) == Model:
+        if type(self) is Model:
             raise TypeError(f"{type(self).__name__!r} should not be directly instantiated")
         self.dir_model = dir_model
         self.ftype = ftype
diff --git a/gguf-py/gguf/lazy.py b/gguf-py/gguf/lazy.py
index de1e6e851..650bea11c 100644
--- a/gguf-py/gguf/lazy.py
+++ b/gguf-py/gguf/lazy.py
@@ -2,12 +2,11 @@ from __future__ import annotations
 from abc import ABC, ABCMeta, abstractmethod
 
 import logging
-from typing import Any, Callable, Iterable, SupportsIndex
+from typing import Any, Callable
 from collections import deque
 
 import numpy as np
-from numpy.typing import DTypeLike, NDArray
-from numpy._typing import _ShapeLike
+from numpy.typing import DTypeLike
 
 
 logger = logging.getLogger(__name__)
@@ -132,7 +131,7 @@ class LazyBase(ABC, metaclass=LazyMeta):
                 assert isinstance(res, cls)
                 res = res._meta
                 # allow operations to override the dtype
-                if meta_noop != True:
+                if meta_noop is not True:
                     res = cls.meta_with_dtype(res, meta_noop)
 
             if isinstance(res, cls._tensor_type):
@@ -193,7 +192,7 @@ class LazyBase(ABC, metaclass=LazyMeta):
 
     @classmethod
     def from_eager(cls, t: Any) -> Any:
-        if type(t) == cls:
+        if type(t) is cls:
             # already eager
             return t
         elif isinstance(t, cls._tensor_type):