Revert "much stricter ruff linting"

This reverts commit 310dbf1574.

modules/control/proc/zoe/zoedepth/models/base_models/midas_repo/midas/backbones/beit.py

@@ -66,7 +66,7 @@ def attention_forward(self, x, resolution, shared_rel_pos_bias: Optional[torch.T
     """
     Modification of timm.models.beit.py: Attention.forward to support arbitrary window sizes.
     """
-    B, N, _C = x.shape
+    B, N, C = x.shape
 
     qkv_bias = torch.cat((self.q_bias, self.k_bias, self.v_bias)) if self.q_bias is not None else None
     qkv = F.linear(input=x, weight=self.qkv.weight, bias=qkv_bias)

modules/control/proc/zoe/zoedepth/models/base_models/midas_repo/midas/backbones/utils.py

@@ -81,7 +81,7 @@ def forward_default(pretrained, x, function_name="forward_features"):
 
 
 def forward_adapted_unflatten(pretrained, x, function_name="forward_features"):
-    _b, _c, h, w = x.shape
+    b, c, h, w = x.shape
 
     exec(f"glob = pretrained.model.{function_name}(x)")
 

modules/control/proc/zoe/zoedepth/models/base_models/midas_repo/midas/backbones/vit.py

@@ -31,7 +31,7 @@ def _resize_pos_embed(self, posemb, gs_h, gs_w):
 
 
 def forward_flex(self, x):
-    _b, _c, h, w = x.shape
+    b, c, h, w = x.shape
 
     pos_embed = self._resize_pos_embed(
         self.pos_embed, h // self.patch_size[1], w // self.patch_size[0]

modules/control/proc/zoe/zoedepth/models/base_models/midas_repo/midas/blocks.py

@@ -5,6 +5,10 @@ from .backbones.beit import (
     _make_pretrained_beitl16_512,
     _make_pretrained_beitl16_384,
     _make_pretrained_beitb16_384,
+    forward_beit,
+)
+from .backbones.swin_common import (
+    forward_swin,
 )
 from .backbones.swin2 import (
     _make_pretrained_swin2l24_384,
@@ -16,11 +20,13 @@ from .backbones.swin import (
 )
 from .backbones.levit import (
     _make_pretrained_levit_384,
+    forward_levit,
 )
 from .backbones.vit import (
     _make_pretrained_vitb_rn50_384,
     _make_pretrained_vitl16_384,
     _make_pretrained_vitb16_384,
+    forward_vit,
 )
 
 def _make_encoder(backbone, features, use_pretrained, groups=1, expand=False, exportable=True, hooks=None,

modules/control/proc/zoe/zoedepth/models/base_models/midas_repo/midas/midas_net_custom.py

@@ -6,7 +6,7 @@ import torch
 import torch.nn as nn
 
 from .base_model import BaseModel
-from .blocks import FeatureFusionBlock_custom, Interpolate, _make_encoder
+from .blocks import FeatureFusionBlock, FeatureFusionBlock_custom, Interpolate, _make_encoder
 
 
 class MidasNet_small(BaseModel):