chore: make ruff happy

backend/src/grapycal/sobjects/controls/textControl.py

@@ -1,8 +1,9 @@
 from enum import Enum
+
+from objectsync import IntTopic, StringTopic
+
 from grapycal.sobjects.controls.control import ValuedControl
 from grapycal.utils.misc import Action
-from grapycal.utils.suggestion import _get_attr_suggestions
-from objectsync import StringTopic, IntTopic
 
 
 class TextControl(ValuedControl[str]):

backend/src/grapycal/sobjects/edge.py

@@ -1,19 +1,20 @@
-import random
 from typing import Any
-from grapycal.sobjects.port import InputPort, OutputPort, Port
-from objectsync import SObject, StringTopic, ObjTopic, IntTopic
+
+from objectsync import ObjTopic, SObject, StringTopic
 from objectsync.sobject import SObjectSerialized
 
+from grapycal.sobjects.port import InputPort, OutputPort, Port
+
 try:
     import torch
     HAS_TORCH = True
-except:
+except ImportError:
     HAS_TORCH = False
 
 try :
     import numpy as np
     HAS_NUMPY = True
-except:
+except ImportError:
     HAS_NUMPY = False
 
 class Edge(SObject):

backend/src/grapycal/sobjects/port.py

@@ -1,16 +1,15 @@
-import abc
-from hmac import new
-from typing import TYPE_CHECKING, Any, List, Literal
 import typing
+from typing import TYPE_CHECKING, Any, List
+
+from objectsync import IntTopic, SObject, StringTopic
+
 from grapycal.sobjects.controls.control import ValuedControl
 from grapycal.sobjects.controls.nullControl import NullControl
-from objectsync import SObject, StringTopic, IntTopic
-
 from grapycal.utils.misc import Action
 
 if TYPE_CHECKING:
-    from grapycal.sobjects.node import Node
     from grapycal.sobjects.edge import Edge
+    from grapycal.sobjects.node import Node
 
 
 class Port(SObject):

backend/src/grapycal/utils/httpResource.py

@@ -1,23 +1,22 @@
 import json
-from pathlib import Path
-import traceback
-from typing import Any, Generic, Type, TypeVar
-from urllib.parse import ParseResult, urlparse
-import aiohttp
-from grapycal.utils.misc import as_type
-import yaml
 import logging
-import certifi
 import ssl
+from typing import Generic, Type, TypeVar
+
+import aiohttp
+import certifi
+import yaml
 from aiohttp import TCPConnector
 
+from grapycal.utils.misc import as_type
+
 logger = logging.getLogger(__name__)
 
 T = TypeVar("T")
 
 
 class HttpResource(Generic[T]):
-    def __init__(self, url: str, data_type: Type[T] = Any, format=None):
+    def __init__(self, url: str, data_type: Type[T] = type, format=None):
         self.url = url
         self.data: T | None = None
         self.failed = False
@@ -35,7 +34,7 @@ def __init__(self, url: str, data_type: Type[T] = Any, format=None):
     async def is_avaliable(self):
         try:
             await self.get()
-        except:
+        except Exception:
             return False
         return True
 

backend/src/grapycal/utils/io.py

@@ -1,15 +1,17 @@
+import asyncio
 import gzip
+import io
+import json
 import logging
 import os
+import threading
+from functools import partial
+from typing import Any, Callable, Tuple
 
 import grapycal
+
 logger = logging.getLogger(__name__)
 
-import json
-import asyncio
-import io
-import threading
-from typing import Any, Callable, Tuple
 
 class OutputStream:
     def __init__(self, on_flush:Callable[[str],None], hz=20):
@@ -82,7 +84,8 @@ def close(self):
         self._exit_flag = True
         self._enable_flush_event.set()
 
-from functools import partial
+
+
 def write_workspace(path:str,metadata,data:Any,compress=False):
     if not compress:
         open_func = partial(open,path,'w',encoding='utf-8')
@@ -129,7 +132,7 @@ def read_workspace(path,metadata_only=False) -> Tuple[str,Any,Any]:
 
 def file_exists(path):
     try:
-        with open(path,'r') as f:
+        with open(path,'r'):
             return True
     except FileNotFoundError:
         return False

extensions/grapycal_builtin/grapycal_builtin/interaction/imagePasteNode.py

@@ -2,6 +2,7 @@
 from contextlib import contextmanager
 from typing import Generator, Tuple
 
+import matplotlib
 from grapycal import FloatTopic, StringTopic, to_numpy
 from grapycal.sobjects.edge import Edge
 from grapycal.sobjects.node import Node
@@ -11,12 +12,6 @@
 from matplotlib.axes import Axes
 from matplotlib.figure import Figure
 
-plt.style.use("dark_background")
-import matplotlib
-
-matplotlib.use("Agg")
-
-
 try:
     import torch
 
@@ -36,6 +31,10 @@
 except ImportError:
     HAS_PIL = False
 
+
+plt.style.use("dark_background")
+matplotlib.use("Agg")
+
 def render_from_fig(
         fig: Figure,
         x_range: tuple[float, float]|None = None,
@@ -395,7 +394,7 @@ def preprocess_data(self, data):
             unsliced_data = data
             try:
                 data = eval(f"unsliced_data[{slice_string}]", globals(), locals())
-            except:
+            except Exception:
                 self.slice.text.set(":")
 
             if data.ndim == 2:

extensions/grapycal_torch/dataloader.py

@@ -1,11 +1,10 @@
-from typing import Iterator
-from grapycal import Node, IntTopic
-from grapycal.extension.utils import NodeInfo
+from grapycal import IntTopic, Node
 from grapycal.sobjects.edge import Edge
 from grapycal.sobjects.port import InputPort
 from grapycal.stores import main_store
 from torch.utils.data import DataLoader
 
+
 class DataLoaderNode(Node):
     category = 'torch/dataloader'
 

extensions/grapycal_torch/generative.py

@@ -1,12 +1,10 @@
-from grapycal import Node, StringTopic
-from grapycal.extension.utils import NodeInfo
-from grapycal.sobjects.sourceNode import SourceNode
-import numpy as np
+import math
 
 # ported from https://github.com/pvigier/perlin-numpy/blob/master/perlin2d.py
-
 import torch
-import math
+from grapycal import FunctionNode, StringTopic
+from grapycal.extension.utils import NodeInfo
+from grapycal.sobjects.sourceNode import SourceNode
 
 from .settings import SettingsNode
 
@@ -200,7 +198,6 @@ def task(self):
         self.out_port.push(torch.arange(start, stop, step, device=device))
 
 
-from grapycal import FunctionNode
 
 
 class Arange2Node(FunctionNode):

extensions/grapycal_torch/networkDef.py

@@ -243,7 +243,7 @@ def build_node(self,name:str="Network",outputs:List[str]|None=None):
         self.network_name.add_validator(lambda x,_: x != '') # empty name may confuse users
         try:
             self.restore_attributes('network name')
-        except:
+        except Exception:
             self.network_name.set(name)
 
         self.network_name.set(find_next_valid_name(self.network_name.get(),self.ext.net.outs))

extensions/grapycal_torch/normalize.py

@@ -1,7 +1,9 @@
+from grapycal import FloatTopic, IntTopic
 from grapycal.extension.utils import NodeInfo
-from .moduleNode import SimpleModuleNode
 from torch import nn
-from grapycal import IntTopic, Node, FloatTopic
+
+from .moduleNode import SimpleModuleNode
+
 
 class BatchNorm2dNode(SimpleModuleNode):
     category = 'torch/neural network'

extensions/grapycal_torch/tensor.py

@@ -1,9 +1,10 @@
-from typing import Any, Dict
+from typing import Any
+
+import torch
+from grapycal import FloatTopic, IntTopic, StringTopic, TextControl
 from grapycal.extension.utils import NodeInfo
 from grapycal.sobjects.functionNode import FunctionNode
 from grapycal.sobjects.sourceNode import SourceNode
-import torch
-from grapycal import Node, TextControl, StringTopic, FloatTopic, IntTopic
 
 
 class ZeroesNode(SourceNode):

extensions/grapycal_torch/tensor_operations.py

@@ -167,7 +167,6 @@ def build_node(self):
     def calculate(self, x:torch.Tensor, kernel:torch.Tensor):
         is_c1hw = False
         orig_x = x
-        orig_kernel = kernel
         if len(x.shape) == 2:
             x = x.unsqueeze(0)
         if len(kernel.shape) == 2:

extensions/grapycal_torch/utils.py

@@ -1,7 +1,8 @@
 
+from typing import TYPE_CHECKING, Iterable
+
 from grapycal import OptionControl
 
-from typing import TYPE_CHECKING, Iterable
 if TYPE_CHECKING:
     from grapycal_torch import GrapycalTorch
 
@@ -51,7 +52,7 @@ def find_next_valid_name(name:str, invalids:Iterable[str]):
         number = name[name.rfind('(')+1:-1]
         try:
             number = int(number)
-        except:
+        except Exception:
             base = name
             number = 1