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rm torch/_C/__init__.pyi
rm torch/_C/_VariableFunctions.pyi
rm torch/_C/_nn.pyi
rm torch/_VF.pyi
rm torch/return_types.pyi
rm torch/nn/functional.pyi
rm torch/utils/data/datapipes/datapipe.pyi
>>> Lint for torch/sparse/semi_structured.py:
Advice (PYREFLY) no-matching-overload
No matching overload found for function `torch._C.TensorBase.__init__`
Possible overloads:
(*args: Any, *, device: device | int | str | None = None) -> None
[closest match]
(storage: Storage) -> None
(other: Tensor) -> None
(size: Size | list[int] | tuple[int, ...], *, device: device | int | str
WARN `_register_pytree_node` is deprecated [deprecated]
--> torch/_export/utils.py:39:5
|
39 | _register_pytree_node,
| ---------------------
|
ERROR Argument `str | Unknown` is not assignable to parameter `padding_mode` with type `Literal['circular', 'reflect', 'replicate', 'zeros']` in function `torch.ao.nn.qat.modules.conv.Conv1d.__init__` [bad-argument-type]
--> torch/ao/nn/intrinsic/qat/modules/conv_fused.py:623:26
|
623 | padding_mode=padding_mode,
ERROR `Iterable[Mapping[str, Unknown] | Node | OpOverload[Ellipsis, Any] | Sequence[Unknown] | SymBool | SymFloat | SymInt | Tensor | bool | complex | device | dtype | float | int | layout | memory_format | range | slice[Any, Any, Any] | str | tuple[Unknown, ...] | None] | list[Unknown]` is not assignable to `list[Unknown]` (caused by inconsistent types when breaking cycles) [bad-assignment]
--> torch/_export/converter.py:1100:17
|
1100 | / for i, outp in enumerate(node.outputs()):
1101 | | output_name = outp.debugName()
1102 | | self.name_to_node[output_name] = self.fx_graph.call_function(
1103 | | operator.getitem,
1104 | | (
1105 | | loop_node,
| |_______________________________________^
ERROR Argument `((ParamSpec(_InputT)) -> _RetT) | None` is not assignable to parameter `fn` with type `(...) -> Any` in function `torch._dynamo.eval_frame._NullDecorator.__call__` [bad-argument-type]
--> torch/__init__.py:2656:19
|
2656 | )(model)(*args, **kwargs)
| ^^^^^
|
ERROR Class member `AOTAutogradCachePickler.dispatch_table` overrides parent class `FxGraphCachePickler` in an inconsistent manner [bad-override]
--> torch/_functorch/_aot_autograd/autograd_cache.py:387:14
|
387 | self.dispatch_table: dict
ERROR Could not find name `RedOpType` [unknown-name]
--> torch/_C/_distributed_c10d.pyi:115:28
|
115 | def __init__(self, op: RedOpType) -> None: ...
| ^^^^^^^^^
|
ERROR Could not find name `RedOpType` [unknown-name]
--> torch/_C/_distributed_c10d.pyi:117:10
|
117 | SUM: RedOpType = ...
ERROR Object of class `TestBundledInputs` has no attribute `assertLess` [missing-attribute]
--> test/test_bundled_inputs.py:61:9
|
61 | self.assertLess(augmented_size, original_size + (1 << 12))
| ^^^^^^^^^^^^^^^
|
ERROR Object of class `TestBundledInputs` has no attribute `assertTrue` [missing-attribute]
--> test/test_bundled_inputs.py:67:9
|
67 | self.assertTrue(loaded(*inflated[0]) is inflated[0][0])
from Bio.Seq import Seq
from Bio import Entrez
from Bio import pairwise2
from Bio.Align import substitution_matrices
from Bio.pairwise2 import format_alignment
Entrez.email = "<hidden @ mail>"
blosum62 = substitution_matrices.load("BLOSUM62")
def get_protein_sequence(id: str) -> str:
@maggiemoss
maggiemoss / html_example.html
Created November 9, 2017 01:39
My html code from today!
<h1> Copy and paste your html code here </h1>
# tonight we went over how to solve fizzbuzz
# see if you can try to improve our solution.
numbers = (1..100) # [1, 2, 3, 4, 5, 6 .. 100]
numbers.each do |number|
if number % 5 == 0 && number % 3 == 0
puts "FizzBuzz"
elsif number % 5 == 0
puts "Buzz"
elsif number % 3 == 0