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Format: normalize quotes, commas, and spacing #3
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failed 2 minutes ago in 9s
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199 |     n_samples = 100
200 |     X = np.random.randn(n_samples, 4).astype(np.float32)
    |     ^
201 |     y_true = (X @ np.array([1, 2, -1, 0.5])).astype(np.float32) + 0.5
    |

N806 Variable `X` in function should be lowercase
   --> tutorials/08_custom_autograd.py:265:5
    |
263 |     # Generate binary classification data
264 |     np.random.seed(123)
265 |     X = np.random.randn(50, 2).astype(np.float32)
    |     ^
266 |     # Simple linear boundary
267 |     y_true = np.sign(X[:, 0] + X[:, 1]).astype(np.float32)  # {-1, +1}
    |

N999 Invalid module name: '09_data_loading'
--> tutorials/09_data_loading.py:1:1

E402 Module level import not at top of file
   --> tutorials/09_data_loading.py:192:1
    |
190 | print("-" * 70)
191 |
192 | from grilly.nn.autograd import matmul, relu
    | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    |

N806 Variable `X` in function should be lowercase
   --> tutorials/09_data_loading.py:268:21
    |
266 |     n_batches = 0
267 |
268 |     for batch_idx, (X, y) in enumerate(dataloader):
    |                     ^
269 |         # Flatten and convert to Variable
270 |         X_flat = X.reshape(X.shape[0], -1).astype(np.float32)
    |

N806 Variable `X_flat` in function should be lowercase
   --> tutorials/09_data_loading.py:270:9
    |
268 |     for batch_idx, (X, y) in enumerate(dataloader):
269 |         # Flatten and convert to Variable
270 |         X_flat = X.reshape(X.shape[0], -1).astype(np.float32)
    |         ^^^^^^
271 |         x_var = Variable(X_flat, requires_grad=False)
    |

N806 Variable `X` in function should be lowercase
   --> tutorials/09_data_loading.py:309:13
    |
308 |     with no_grad():
309 |         for X, y in dataloader:
    |             ^
310 |             X_flat = X.reshape(X.shape[0], -1).astype(np.float32)
311 |             x_var = Variable(X_flat, requires_grad=False)
    |

N806 Variable `X_flat` in function should be lowercase
   --> tutorials/09_data_loading.py:310:13
    |
308 |     with no_grad():
309 |         for X, y in dataloader:
310 |             X_flat = X.reshape(X.shape[0], -1).astype(np.float32)
    |             ^^^^^^
311 |             x_var = Variable(X_flat, requires_grad=False)
    |

N999 Invalid module name: '10_gpu_training'
--> tutorials/10_gpu_training.py:1:1

N806 Variable `X` in function should be lowercase
   --> tutorials/10_gpu_training.py:297:25
    |
295 |         n_batches = 0
296 |
297 |         for batch_idx, (X, y) in enumerate(train_loader):
    |                         ^
298 |             # Flatten images
299 |             X_flat = X.reshape(X.shape[0], -1).astype(np.float32)
    |

N806 Variable `X_flat` in function should be lowercase
   --> tutorials/10_gpu_training.py:299:13
    |
297 |         for batch_idx, (X, y) in enumerate(train_loader):
298 |             # Flatten images
299 |             X_flat = X.reshape(X.shape[0], -1).astype(np.float32)
    |             ^^^^^^
300 |             y = y.astype(np.int64)
    |

N806 Variable `X` in function should be lowercase
   --> tutorials/10_gpu_training.py:328:13
    |
326 |         n_test = 0
327 |
328 |         for X, y in test_loader:
18 |     from numba import float32, int32, int64, jit, prange
   |                                       ^^^^^
19 |
20 |     NUMBA_AVAILABLE = True
   |
help: Remove unused import

UP007 Use `X | Y` for type annotations
  --> utils/stable_hash.py:10:13
   |
 8 | from typing import Union
 9 |
10 | BytesLike = Union[bytes, bytearray, memoryview]
   |             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
11 | Part = Union[str, int, float, bytes]
   |
help: Convert to `X | Y`

UP007 Use `X | Y` for type annotations
  --> utils/stable_hash.py:11:8
   |
10 | BytesLike = Union[bytes, bytearray, memoryview]
11 | Part = Union[str, int, float, bytes]
   |        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
12 |
13 | try:
   |
help: Convert to `X | Y`

F821 Undefined name `np`
  --> utils/stable_hash.py:97:80
   |
97 | def bipolar_from_key(key: str, dim: int, *, domain: str = "grilly.bipolar") -> np.ndarray:
   |                                                                                ^^
98 |     """
99 |     Deterministically generate a bipolar (+1/-1) vector using a hash-stream.
   |

F401 `grilly.nn` imported but unused; consider using `importlib.util.find_spec` to test for availability
  --> utils/vulkan_sentence_transformer.py:26:36
   |
25 | try:
26 |     from grilly import functional, nn
   |                                    ^^
27 |
28 |     GRILLY_AVAILABLE = True
   |
help: Remove unused import: `grilly.nn`

F821 Undefined name `up_out`
    --> utils/vulkan_sentence_transformer.py:1255:49
     |
1253 | …         )
1254 | …         logger.error(
1255 | …             f"  up_out stats: mean={up_out.mean():.6f}, std={up_out.std():.6f}, min={up_out.min():.6f}, max={up_out.max():.6f}"
     |                                       ^^^^^^
1256 | …         )
1257 | …     # Replace NaN/Inf with zeros (no random noise to avoid divergence)
     |

F821 Undefined name `up_out`
    --> utils/vulkan_sentence_transformer.py:1255:74
     |
1253 | …         )
1254 | …         logger.error(
1255 | …             f"  up_out stats: mean={up_out.mean():.6f}, std={up_out.std():.6f}, min={up_out.min():.6f}, max={up_out.max():.6f}"
     |                                                                ^^^^^^
1256 | …         )
1257 | …     # Replace NaN/Inf with zeros (no random noise to avoid divergence)
     |

F821 Undefined name `up_out`
    --> utils/vulkan_sentence_transformer.py:1255:98
     |
1253 | …         )
1254 | …         logger.error(
1255 | …             f"  up_out stats: mean={up_out.mean():.6f}, std={up_out.std():.6f}, min={up_out.min():.6f}, max={up_out.max():.6f}"
     |                                                                                        ^^^^^^
1256 | …         )
1257 | …     # Replace NaN/Inf with zeros (no random noise to avoid divergence)
     |

F821 Undefined name `up_out`
    --> utils/vulkan_sentence_transformer.py:1255:122
     |
1253 | …         )
1254 | …         logger.error(
1255 | …             f"  up_out stats: mean={up_out.mean():.6f}, std={up_out.std():.6f}, min={up_out.min():.6f}, max={up_out.max():.6f}"
     |                                                                                                                ^^^^^^
1256 | …         )
1257 | …     # Replace NaN/Inf with zeros (no random noise to avoid divergence)
     |

Found 514 errors.
Error: Process completed with exit code 1.
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