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videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/_cholesky_solve_helper_native.h

@@ -0,0 +1,23 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API at::Tensor & _cholesky_solve_helper_out(const at::Tensor & self, const at::Tensor & A, bool upper, at::Tensor & out);
+TORCH_API at::Tensor _cholesky_solve_helper_cpu(const at::Tensor & self, const at::Tensor & A, bool upper);
+TORCH_API at::Tensor _cholesky_solve_helper_cuda(const at::Tensor & self, const at::Tensor & A, bool upper);
+} // namespace native
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_copy.h

@@ -0,0 +1,44 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/_foreach_copy_ops.h>
+
+namespace at {
+
+
+// aten::_foreach_copy_(Tensor(a!)[] self, Tensor[] src, bool non_blocking=False) -> ()
+inline void _foreach_copy_(at::TensorList self, at::TensorList src, bool non_blocking=false) {
+    return at::_ops::_foreach_copy_::call(self, src, non_blocking);
+}
+
+// aten::_foreach_copy.out(Tensor[] self, Tensor[] src, bool non_blocking=False, *, Tensor(a!)[] out) -> ()
+inline void _foreach_copy_out(at::TensorList out, at::TensorList self, at::TensorList src, bool non_blocking=false) {
+    return at::_ops::_foreach_copy_out::call(self, src, non_blocking, out);
+}
+// aten::_foreach_copy.out(Tensor[] self, Tensor[] src, bool non_blocking=False, *, Tensor(a!)[] out) -> ()
+inline void _foreach_copy_outf(at::TensorList self, at::TensorList src, bool non_blocking, at::TensorList out) {
+    return at::_ops::_foreach_copy_out::call(self, src, non_blocking, out);
+}
+
+// aten::_foreach_copy(Tensor[] self, Tensor[] src, bool non_blocking=False) -> Tensor[] self_out
+inline ::std::vector<at::Tensor> _foreach_copy(at::TensorList self, at::TensorList src, bool non_blocking=false) {
+    return at::_ops::_foreach_copy::call(self, src, non_blocking);
+}
+
+}

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_maximum_compositeexplicitautograd_dispatch.h

@@ -0,0 +1,28 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeexplicitautograd {
+
+TORCH_API void _foreach_maximum_out(at::TensorList out, at::TensorList self, const at::Scalar & scalar);
+TORCH_API void _foreach_maximum_outf(at::TensorList self, const at::Scalar & scalar, at::TensorList out);
+TORCH_API void _foreach_maximum_out(at::TensorList out, at::TensorList self, at::TensorList other);
+TORCH_API void _foreach_maximum_outf(at::TensorList self, at::TensorList other, at::TensorList out);
+TORCH_API void _foreach_maximum_out(at::TensorList out, at::TensorList self, at::ArrayRef<at::Scalar> scalars);
+TORCH_API void _foreach_maximum_outf(at::TensorList self, at::ArrayRef<at::Scalar> scalars, at::TensorList out);
+
+} // namespace compositeexplicitautograd
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_sign.h

@@ -0,0 +1,44 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/_foreach_sign_ops.h>
+
+namespace at {
+
+
+// aten::_foreach_sign(Tensor[] self) -> Tensor[]
+inline ::std::vector<at::Tensor> _foreach_sign(at::TensorList self) {
+    return at::_ops::_foreach_sign::call(self);
+}
+
+// aten::_foreach_sign_(Tensor(a!)[] self) -> ()
+inline void _foreach_sign_(at::TensorList self) {
+    return at::_ops::_foreach_sign_::call(self);
+}
+
+// aten::_foreach_sign.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+inline void _foreach_sign_out(at::TensorList out, at::TensorList self) {
+    return at::_ops::_foreach_sign_out::call(self, out);
+}
+// aten::_foreach_sign.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+inline void _foreach_sign_outf(at::TensorList self, at::TensorList out) {
+    return at::_ops::_foreach_sign_out::call(self, out);
+}
+
+}

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/_histogramdd_from_bin_cts_native.h

@@ -0,0 +1,22 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API at::Tensor & _histogramdd_from_bin_cts_out(const at::Tensor & self, at::IntArrayRef bins, c10::optional<at::ArrayRef<double>> range, const c10::optional<at::Tensor> & weight, bool density, at::Tensor & out);
+TORCH_API at::Tensor _histogramdd(const at::Tensor & self, at::IntArrayRef bins, c10::optional<at::ArrayRef<double>> range=c10::nullopt, const c10::optional<at::Tensor> & weight={}, bool density=false);
+} // namespace native
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/_local_scalar_dense_cuda_dispatch.h

@@ -0,0 +1,23 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cuda {
+
+TORCH_API at::Scalar _local_scalar_dense(const at::Tensor & self);
+
+} // namespace cuda
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/_remove_batch_dim_ops.h

@@ -0,0 +1,28 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Operator.h
+
+#include <tuple>
+#include <vector>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+namespace _ops {
+
+
+struct TORCH_API _remove_batch_dim {
+  using schema = at::Tensor (const at::Tensor &, int64_t, int64_t, int64_t);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_remove_batch_dim")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_remove_batch_dim(Tensor self, int level, int batch_size, int out_dim) -> Tensor")
+  static at::Tensor call(const at::Tensor & self, int64_t level, int64_t batch_size, int64_t out_dim);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t level, int64_t batch_size, int64_t out_dim);
+};
+
+}} // namespace at::_ops

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/_softmax_backward_data_meta.h

@@ -0,0 +1,27 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeMetaFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/TensorIterator.h>
+#include <ATen/TensorMeta.h>
+#include <tuple>
+#include <vector>
+
+namespace at {
+namespace meta {
+
+struct TORCH_API structured__softmax_backward_data : public at::impl::MetaBase {
+    
+    
+    void meta(const at::Tensor & grad_output, const at::Tensor & output, int64_t dim, at::ScalarType input_dtype);
+};
+
+} // namespace native
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/_trilinear_native.h

@@ -0,0 +1,22 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API at::Tensor & _trilinear_out(const at::Tensor & i1, const at::Tensor & i2, const at::Tensor & i3, at::IntArrayRef expand1, at::IntArrayRef expand2, at::IntArrayRef expand3, at::IntArrayRef sumdim, int64_t unroll_dim, at::Tensor & out);
+TORCH_API at::Tensor _trilinear(const at::Tensor & i1, const at::Tensor & i2, const at::Tensor & i3, at::IntArrayRef expand1, at::IntArrayRef expand2, at::IntArrayRef expand3, at::IntArrayRef sumdim, int64_t unroll_dim=1);
+} // namespace native
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/_upsample_nearest_exact2d_backward_meta_dispatch.h

@@ -0,0 +1,28 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace meta {
+
+TORCH_API at::Tensor _upsample_nearest_exact2d_backward(const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt);
+TORCH_API at::Tensor _upsample_nearest_exact2d_backward_symint(const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt);
+TORCH_API at::Tensor & _upsample_nearest_exact2d_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt);
+TORCH_API at::Tensor & _upsample_nearest_exact2d_backward_outf(const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & grad_input);
+TORCH_API at::Tensor & _upsample_nearest_exact2d_backward_symint_out(at::Tensor & grad_input, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt);
+TORCH_API at::Tensor & _upsample_nearest_exact2d_backward_symint_outf(const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & grad_input);
+
+} // namespace meta
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/all_compositeexplicitautograd_dispatch.h

@@ -0,0 +1,25 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeexplicitautograd {
+
+TORCH_API at::Tensor all(const at::Tensor & self, at::OptionalIntArrayRef dim, bool keepdim=false);
+TORCH_API at::Tensor & all_out(at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef dim, bool keepdim=false);
+TORCH_API at::Tensor & all_outf(const at::Tensor & self, at::OptionalIntArrayRef dim, bool keepdim, at::Tensor & out);
+
+} // namespace compositeexplicitautograd
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/arcsinh_compositeimplicitautograd_dispatch.h

@@ -0,0 +1,26 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeimplicitautograd {
+
+TORCH_API at::Tensor arcsinh(const at::Tensor & self);
+TORCH_API at::Tensor & arcsinh_out(at::Tensor & out, const at::Tensor & self);
+TORCH_API at::Tensor & arcsinh_outf(const at::Tensor & self, at::Tensor & out);
+TORCH_API at::Tensor & arcsinh_(at::Tensor & self);
+
+} // namespace compositeimplicitautograd
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/binomial_cuda_dispatch.h

@@ -0,0 +1,23 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cuda {
+
+TORCH_API at::Tensor binomial(const at::Tensor & count, const at::Tensor & prob, c10::optional<at::Generator> generator=c10::nullopt);
+
+} // namespace cuda
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/cumprod.h

@@ -0,0 +1,53 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/cumprod_ops.h>
+
+namespace at {
+
+
+// aten::cumprod(Tensor self, int dim, *, ScalarType? dtype=None) -> Tensor
+inline at::Tensor cumprod(const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt) {
+    return at::_ops::cumprod::call(self, dim, dtype);
+}
+
+// aten::cumprod.out(Tensor self, int dim, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & cumprod_out(at::Tensor & out, const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt) {
+    return at::_ops::cumprod_out::call(self, dim, dtype, out);
+}
+// aten::cumprod.out(Tensor self, int dim, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & cumprod_outf(const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype, at::Tensor & out) {
+    return at::_ops::cumprod_out::call(self, dim, dtype, out);
+}
+
+// aten::cumprod.dimname(Tensor self, Dimname dim, *, ScalarType? dtype=None) -> Tensor
+inline at::Tensor cumprod(const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype=c10::nullopt) {
+    return at::_ops::cumprod_dimname::call(self, dim, dtype);
+}
+
+// aten::cumprod.dimname_out(Tensor self, Dimname dim, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & cumprod_out(at::Tensor & out, const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype=c10::nullopt) {
+    return at::_ops::cumprod_dimname_out::call(self, dim, dtype, out);
+}
+// aten::cumprod.dimname_out(Tensor self, Dimname dim, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & cumprod_outf(const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype, at::Tensor & out) {
+    return at::_ops::cumprod_dimname_out::call(self, dim, dtype, out);
+}
+
+}

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/diagonal_scatter.h

@@ -0,0 +1,39 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/diagonal_scatter_ops.h>
+
+namespace at {
+
+
+// aten::diagonal_scatter(Tensor self, Tensor src, int offset=0, int dim1=0, int dim2=1) -> Tensor
+inline at::Tensor diagonal_scatter(const at::Tensor & self, const at::Tensor & src, int64_t offset=0, int64_t dim1=0, int64_t dim2=1) {
+    return at::_ops::diagonal_scatter::call(self, src, offset, dim1, dim2);
+}
+
+// aten::diagonal_scatter.out(Tensor self, Tensor src, int offset=0, int dim1=0, int dim2=1, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & diagonal_scatter_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & src, int64_t offset=0, int64_t dim1=0, int64_t dim2=1) {
+    return at::_ops::diagonal_scatter_out::call(self, src, offset, dim1, dim2, out);
+}
+// aten::diagonal_scatter.out(Tensor self, Tensor src, int offset=0, int dim1=0, int dim2=1, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & diagonal_scatter_outf(const at::Tensor & self, const at::Tensor & src, int64_t offset, int64_t dim1, int64_t dim2, at::Tensor & out) {
+    return at::_ops::diagonal_scatter_out::call(self, src, offset, dim1, dim2, out);
+}
+
+}

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/empty_like_native.h

@@ -0,0 +1,26 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API at::Tensor empty_like(const at::Tensor & self, c10::optional<at::ScalarType> dtype={}, c10::optional<at::Layout> layout={}, c10::optional<at::Device> device={}, c10::optional<bool> pin_memory={}, c10::optional<at::MemoryFormat> memory_format=c10::nullopt);
+TORCH_API at::Tensor & empty_like_out(const at::Tensor & self, c10::optional<at::MemoryFormat> memory_format, at::Tensor & out);
+TORCH_API at::Tensor empty_like_nested(const at::Tensor & self, c10::optional<at::ScalarType> dtype={}, c10::optional<at::Layout> layout={}, c10::optional<at::Device> device={}, c10::optional<bool> pin_memory={}, c10::optional<at::MemoryFormat> memory_format=c10::nullopt);
+TORCH_API at::Tensor empty_like_sparse_coo(const at::Tensor & self, c10::optional<at::ScalarType> dtype={}, c10::optional<at::Layout> layout={}, c10::optional<at::Device> device={}, c10::optional<bool> pin_memory={}, c10::optional<at::MemoryFormat> memory_format=c10::nullopt);
+TORCH_API at::Tensor empty_like_sparse_csr(const at::Tensor & self, c10::optional<at::ScalarType> dtype={}, c10::optional<at::Layout> layout={}, c10::optional<at::Device> device={}, c10::optional<bool> pin_memory={}, c10::optional<at::MemoryFormat> memory_format=c10::nullopt);
+TORCH_API at::Tensor empty_like_quantized(const at::Tensor & self, c10::optional<at::ScalarType> dtype={}, c10::optional<at::Layout> layout={}, c10::optional<at::Device> device={}, c10::optional<bool> pin_memory={}, c10::optional<at::MemoryFormat> memory_format=c10::nullopt);
+} // namespace native
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/igamma_cuda_dispatch.h

@@ -0,0 +1,26 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cuda {
+
+TORCH_API at::Tensor igamma(const at::Tensor & self, const at::Tensor & other);
+TORCH_API at::Tensor & igamma_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other);
+TORCH_API at::Tensor & igamma_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out);
+TORCH_API at::Tensor & igamma_(at::Tensor & self, const at::Tensor & other);
+
+} // namespace cuda
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/is_neg_ops.h

@@ -0,0 +1,28 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Operator.h
+
+#include <tuple>
+#include <vector>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+namespace _ops {
+
+
+struct TORCH_API is_neg {
+  using schema = bool (const at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::is_neg")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "is_neg(Tensor self) -> bool")
+  static bool call(const at::Tensor & self);
+  static bool redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self);
+};
+
+}} // namespace at::_ops

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/isclose_compositeimplicitautograd_dispatch.h

@@ -0,0 +1,23 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeimplicitautograd {
+
+TORCH_API at::Tensor isclose(const at::Tensor & self, const at::Tensor & other, double rtol=1e-05, double atol=1e-08, bool equal_nan=false);
+
+} // namespace compositeimplicitautograd
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/lcm_cuda_dispatch.h

@@ -0,0 +1,26 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cuda {
+
+TORCH_API at::Tensor lcm(const at::Tensor & self, const at::Tensor & other);
+TORCH_API at::Tensor & lcm_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other);
+TORCH_API at::Tensor & lcm_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out);
+TORCH_API at::Tensor & lcm_(at::Tensor & self, const at::Tensor & other);
+
+} // namespace cuda
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/linear_backward.h

@@ -0,0 +1,39 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/linear_backward_ops.h>
+
+namespace at {
+
+
+// aten::linear_backward(Tensor self, Tensor grad_output, Tensor weight, bool[3] output_mask) -> (Tensor, Tensor, Tensor)
+inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> linear_backward(const at::Tensor & self, const at::Tensor & grad_output, const at::Tensor & weight, ::std::array<bool,3> output_mask) {
+    return at::_ops::linear_backward::call(self, grad_output, weight, output_mask);
+}
+
+// aten::linear_backward.out(Tensor self, Tensor grad_output, Tensor weight, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!))
+inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> linear_backward_out(at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, const at::Tensor & self, const at::Tensor & grad_output, const at::Tensor & weight, ::std::array<bool,3> output_mask) {
+    return at::_ops::linear_backward_out::call(self, grad_output, weight, output_mask, out0, out1, out2);
+}
+// aten::linear_backward.out(Tensor self, Tensor grad_output, Tensor weight, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!))
+inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> linear_backward_outf(const at::Tensor & self, const at::Tensor & grad_output, const at::Tensor & weight, ::std::array<bool,3> output_mask, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2) {
+    return at::_ops::linear_backward_out::call(self, grad_output, weight, output_mask, out0, out1, out2);
+}
+
+}

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/log_sigmoid_backward_cpu_dispatch.h

@@ -0,0 +1,25 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cpu {
+
+TORCH_API at::Tensor log_sigmoid_backward(const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & buffer);
+TORCH_API at::Tensor & log_sigmoid_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & buffer);
+TORCH_API at::Tensor & log_sigmoid_backward_outf(const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & buffer, at::Tensor & grad_input);
+
+} // namespace cpu
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/logit_meta_dispatch.h

@@ -0,0 +1,23 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace meta {
+
+TORCH_API at::Tensor & logit_(at::Tensor & self, c10::optional<double> eps=c10::nullopt);
+
+} // namespace meta
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/masked_scatter_backward_native.h

@@ -0,0 +1,21 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API at::Tensor masked_scatter_backward_symint(const at::Tensor & grad_output, const at::Tensor & mask, c10::SymIntArrayRef sizes);
+} // namespace native
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/permute_copy.h

@@ -0,0 +1,39 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/permute_copy_ops.h>
+
+namespace at {
+
+
+// aten::permute_copy(Tensor self, int[] dims) -> Tensor
+inline at::Tensor permute_copy(const at::Tensor & self, at::IntArrayRef dims) {
+    return at::_ops::permute_copy::call(self, dims);
+}
+
+// aten::permute_copy.out(Tensor self, int[] dims, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & permute_copy_out(at::Tensor & out, const at::Tensor & self, at::IntArrayRef dims) {
+    return at::_ops::permute_copy_out::call(self, dims, out);
+}
+// aten::permute_copy.out(Tensor self, int[] dims, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & permute_copy_outf(const at::Tensor & self, at::IntArrayRef dims, at::Tensor & out) {
+    return at::_ops::permute_copy_out::call(self, dims, out);
+}
+
+}

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/quantize_per_tensor_dynamic_cpu_dispatch.h

@@ -0,0 +1,23 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cpu {
+
+TORCH_API at::Tensor quantize_per_tensor_dynamic(const at::Tensor & self, at::ScalarType dtype, bool reduce_range);
+
+} // namespace cpu
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/rshift_meta_dispatch.h

@@ -0,0 +1,24 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace meta {
+
+TORCH_API at::Tensor & __irshift__(at::Tensor & self, const at::Scalar & other);
+TORCH_API at::Tensor & __irshift__(at::Tensor & self, const at::Tensor & other);
+
+} // namespace meta
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/scatter_compositeimplicitautograd_dispatch.h

@@ -0,0 +1,24 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeimplicitautograd {
+
+TORCH_API at::Tensor scatter(const at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Tensor & src);
+TORCH_API at::Tensor scatter(const at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Scalar & value);
+
+} // namespace compositeimplicitautograd
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/selu_native.h

@@ -0,0 +1,22 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API at::Tensor selu(const at::Tensor & self);
+TORCH_API at::Tensor & selu_(at::Tensor & self);
+} // namespace native
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/sigmoid_backward_cpu_dispatch.h

@@ -0,0 +1,25 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cpu {
+
+TORCH_API at::Tensor sigmoid_backward(const at::Tensor & grad_output, const at::Tensor & output);
+TORCH_API at::Tensor & sigmoid_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & output);
+TORCH_API at::Tensor & sigmoid_backward_outf(const at::Tensor & grad_output, const at::Tensor & output, at::Tensor & grad_input);
+
+} // namespace cpu
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/sparse_csc_tensor_compositeimplicitautograd_dispatch.h

@@ -0,0 +1,26 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeimplicitautograd {
+
+TORCH_API at::Tensor sparse_csc_tensor(const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, at::IntArrayRef size, at::TensorOptions options);
+TORCH_API at::Tensor sparse_csc_tensor(const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory);
+TORCH_API at::Tensor sparse_csc_tensor(const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, at::TensorOptions options);
+TORCH_API at::Tensor sparse_csc_tensor(const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory);
+
+} // namespace compositeimplicitautograd
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/special_bessel_y0_meta_dispatch.h

@@ -0,0 +1,25 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace meta {
+
+TORCH_API at::Tensor special_bessel_y0(const at::Tensor & self);
+TORCH_API at::Tensor & special_bessel_y0_out(at::Tensor & out, const at::Tensor & self);
+TORCH_API at::Tensor & special_bessel_y0_outf(const at::Tensor & self, at::Tensor & out);
+
+} // namespace meta
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/special_chebyshev_polynomial_u_compositeexplicitautograd_dispatch.h

@@ -0,0 +1,28 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeexplicitautograd {
+
+TORCH_API at::Tensor special_chebyshev_polynomial_u(const at::Scalar & x, const at::Tensor & n);
+TORCH_API at::Tensor & special_chebyshev_polynomial_u_out(at::Tensor & out, const at::Scalar & x, const at::Tensor & n);
+TORCH_API at::Tensor & special_chebyshev_polynomial_u_outf(const at::Scalar & x, const at::Tensor & n, at::Tensor & out);
+TORCH_API at::Tensor special_chebyshev_polynomial_u(const at::Tensor & x, const at::Scalar & n);
+TORCH_API at::Tensor & special_chebyshev_polynomial_u_out(at::Tensor & out, const at::Tensor & x, const at::Scalar & n);
+TORCH_API at::Tensor & special_chebyshev_polynomial_u_outf(const at::Tensor & x, const at::Scalar & n, at::Tensor & out);
+
+} // namespace compositeexplicitautograd
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/special_erfc_ops.h

@@ -0,0 +1,39 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Operator.h
+
+#include <tuple>
+#include <vector>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+namespace _ops {
+
+
+struct TORCH_API special_erfc {
+  using schema = at::Tensor (const at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::special_erfc")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "special_erfc(Tensor self) -> Tensor")
+  static at::Tensor call(const at::Tensor & self);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self);
+};
+
+struct TORCH_API special_erfc_out {
+  using schema = at::Tensor & (const at::Tensor &, at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::special_erfc")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "special_erfc.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)")
+  static at::Tensor & call(const at::Tensor & self, at::Tensor & out);
+  static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out);
+};
+
+}} // namespace at::_ops

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/upsample_linear1d_backward_meta_dispatch.h

@@ -0,0 +1,28 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace meta {
+
+TORCH_API at::Tensor upsample_linear1d_backward(const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<double> scales=c10::nullopt);
+TORCH_API at::Tensor upsample_linear1d_backward_symint(const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, bool align_corners, c10::optional<double> scales=c10::nullopt);
+TORCH_API at::Tensor & upsample_linear1d_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<double> scales=c10::nullopt);
+TORCH_API at::Tensor & upsample_linear1d_backward_outf(const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<double> scales, at::Tensor & grad_input);
+TORCH_API at::Tensor & upsample_linear1d_backward_symint_out(at::Tensor & grad_input, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, bool align_corners, c10::optional<double> scales=c10::nullopt);
+TORCH_API at::Tensor & upsample_linear1d_backward_symint_outf(const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, bool align_corners, c10::optional<double> scales, at::Tensor & grad_input);
+
+} // namespace meta
+} // namespace at

vllm/lib/python3.10/site-packages/anyio/__init__.py

@@ -0,0 +1,76 @@
+from __future__ import annotations
+
+from ._core._eventloop import current_time as current_time
+from ._core._eventloop import get_all_backends as get_all_backends
+from ._core._eventloop import get_cancelled_exc_class as get_cancelled_exc_class
+from ._core._eventloop import run as run
+from ._core._eventloop import sleep as sleep
+from ._core._eventloop import sleep_forever as sleep_forever
+from ._core._eventloop import sleep_until as sleep_until
+from ._core._exceptions import BrokenResourceError as BrokenResourceError
+from ._core._exceptions import BrokenWorkerProcess as BrokenWorkerProcess
+from ._core._exceptions import BusyResourceError as BusyResourceError
+from ._core._exceptions import ClosedResourceError as ClosedResourceError
+from ._core._exceptions import DelimiterNotFound as DelimiterNotFound
+from ._core._exceptions import EndOfStream as EndOfStream
+from ._core._exceptions import IncompleteRead as IncompleteRead
+from ._core._exceptions import TypedAttributeLookupError as TypedAttributeLookupError
+from ._core._exceptions import WouldBlock as WouldBlock
+from ._core._fileio import AsyncFile as AsyncFile
+from ._core._fileio import Path as Path
+from ._core._fileio import open_file as open_file
+from ._core._fileio import wrap_file as wrap_file
+from ._core._resources import aclose_forcefully as aclose_forcefully
+from ._core._signals import open_signal_receiver as open_signal_receiver
+from ._core._sockets import connect_tcp as connect_tcp
+from ._core._sockets import connect_unix as connect_unix
+from ._core._sockets import create_connected_udp_socket as create_connected_udp_socket
+from ._core._sockets import (
+    create_connected_unix_datagram_socket as create_connected_unix_datagram_socket,
+)
+from ._core._sockets import create_tcp_listener as create_tcp_listener
+from ._core._sockets import create_udp_socket as create_udp_socket
+from ._core._sockets import create_unix_datagram_socket as create_unix_datagram_socket
+from ._core._sockets import create_unix_listener as create_unix_listener
+from ._core._sockets import getaddrinfo as getaddrinfo
+from ._core._sockets import getnameinfo as getnameinfo
+from ._core._sockets import wait_readable as wait_readable
+from ._core._sockets import wait_socket_readable as wait_socket_readable
+from ._core._sockets import wait_socket_writable as wait_socket_writable
+from ._core._sockets import wait_writable as wait_writable
+from ._core._streams import create_memory_object_stream as create_memory_object_stream
+from ._core._subprocesses import open_process as open_process
+from ._core._subprocesses import run_process as run_process
+from ._core._synchronization import CapacityLimiter as CapacityLimiter
+from ._core._synchronization import (
+    CapacityLimiterStatistics as CapacityLimiterStatistics,
+)
+from ._core._synchronization import Condition as Condition
+from ._core._synchronization import ConditionStatistics as ConditionStatistics
+from ._core._synchronization import Event as Event
+from ._core._synchronization import EventStatistics as EventStatistics
+from ._core._synchronization import Lock as Lock
+from ._core._synchronization import LockStatistics as LockStatistics
+from ._core._synchronization import ResourceGuard as ResourceGuard
+from ._core._synchronization import Semaphore as Semaphore
+from ._core._synchronization import SemaphoreStatistics as SemaphoreStatistics
+from ._core._tasks import TASK_STATUS_IGNORED as TASK_STATUS_IGNORED
+from ._core._tasks import CancelScope as CancelScope
+from ._core._tasks import create_task_group as create_task_group
+from ._core._tasks import current_effective_deadline as current_effective_deadline
+from ._core._tasks import fail_after as fail_after
+from ._core._tasks import move_on_after as move_on_after
+from ._core._testing import TaskInfo as TaskInfo
+from ._core._testing import get_current_task as get_current_task
+from ._core._testing import get_running_tasks as get_running_tasks
+from ._core._testing import wait_all_tasks_blocked as wait_all_tasks_blocked
+from ._core._typedattr import TypedAttributeProvider as TypedAttributeProvider
+from ._core._typedattr import TypedAttributeSet as TypedAttributeSet
+from ._core._typedattr import typed_attribute as typed_attribute
+
+# Re-export imports so they look like they live directly in this package
+for __value in list(locals().values()):
+    if getattr(__value, "__module__", "").startswith("anyio."):
+        __value.__module__ = __name__
+
+del __value

vllm/lib/python3.10/site-packages/anyio/_backends/_asyncio.py

@@ -0,0 +1,2851 @@
+from __future__ import annotations
+
+import array
+import asyncio
+import concurrent.futures
+import math
+import os
+import socket
+import sys
+import threading
+import weakref
+from asyncio import (
+    AbstractEventLoop,
+    CancelledError,
+    all_tasks,
+    create_task,
+    current_task,
+    get_running_loop,
+    sleep,
+)
+from asyncio.base_events import _run_until_complete_cb  # type: ignore[attr-defined]
+from collections import OrderedDict, deque
+from collections.abc import (
+    AsyncGenerator,
+    AsyncIterator,
+    Awaitable,
+    Callable,
+    Collection,
+    Coroutine,
+    Iterable,
+    Iterator,
+    MutableMapping,
+    Sequence,
+)
+from concurrent.futures import Future
+from contextlib import AbstractContextManager, suppress
+from contextvars import Context, copy_context
+from dataclasses import dataclass
+from functools import partial, wraps
+from inspect import (
+    CORO_RUNNING,
+    CORO_SUSPENDED,
+    getcoroutinestate,
+    iscoroutine,
+)
+from io import IOBase
+from os import PathLike
+from queue import Queue
+from signal import Signals
+from socket import AddressFamily, SocketKind
+from threading import Thread
+from types import TracebackType
+from typing import (
+    IO,
+    TYPE_CHECKING,
+    Any,
+    Optional,
+    TypeVar,
+    cast,
+)
+from weakref import WeakKeyDictionary
+
+import sniffio
+
+from .. import (
+    CapacityLimiterStatistics,
+    EventStatistics,
+    LockStatistics,
+    TaskInfo,
+    abc,
+)
+from .._core._eventloop import claim_worker_thread, threadlocals
+from .._core._exceptions import (
+    BrokenResourceError,
+    BusyResourceError,
+    ClosedResourceError,
+    EndOfStream,
+    WouldBlock,
+    iterate_exceptions,
+)
+from .._core._sockets import convert_ipv6_sockaddr
+from .._core._streams import create_memory_object_stream
+from .._core._synchronization import (
+    CapacityLimiter as BaseCapacityLimiter,
+)
+from .._core._synchronization import Event as BaseEvent
+from .._core._synchronization import Lock as BaseLock
+from .._core._synchronization import (
+    ResourceGuard,
+    SemaphoreStatistics,
+)
+from .._core._synchronization import Semaphore as BaseSemaphore
+from .._core._tasks import CancelScope as BaseCancelScope
+from ..abc import (
+    AsyncBackend,
+    IPSockAddrType,
+    SocketListener,
+    UDPPacketType,
+    UNIXDatagramPacketType,
+)
+from ..abc._eventloop import StrOrBytesPath
+from ..lowlevel import RunVar
+from ..streams.memory import MemoryObjectReceiveStream, MemoryObjectSendStream
+
+if TYPE_CHECKING:
+    from _typeshed import FileDescriptorLike
+else:
+    FileDescriptorLike = object
+
+if sys.version_info >= (3, 10):
+    from typing import ParamSpec
+else:
+    from typing_extensions import ParamSpec
+
+if sys.version_info >= (3, 11):
+    from asyncio import Runner
+    from typing import TypeVarTuple, Unpack
+else:
+    import contextvars
+    import enum
+    import signal
+    from asyncio import coroutines, events, exceptions, tasks
+
+    from exceptiongroup import BaseExceptionGroup
+    from typing_extensions import TypeVarTuple, Unpack
+
+    class _State(enum.Enum):
+        CREATED = "created"
+        INITIALIZED = "initialized"
+        CLOSED = "closed"
+
+    class Runner:
+        # Copied from CPython 3.11
+        def __init__(
+            self,
+            *,
+            debug: bool | None = None,
+            loop_factory: Callable[[], AbstractEventLoop] | None = None,
+        ):
+            self._state = _State.CREATED
+            self._debug = debug
+            self._loop_factory = loop_factory
+            self._loop: AbstractEventLoop | None = None
+            self._context = None
+            self._interrupt_count = 0
+            self._set_event_loop = False
+
+        def __enter__(self) -> Runner:
+            self._lazy_init()
+            return self
+
+        def __exit__(
+            self,
+            exc_type: type[BaseException],
+            exc_val: BaseException,
+            exc_tb: TracebackType,
+        ) -> None:
+            self.close()
+
+        def close(self) -> None:
+            """Shutdown and close event loop."""
+            if self._state is not _State.INITIALIZED:
+                return
+            try:
+                loop = self._loop
+                _cancel_all_tasks(loop)
+                loop.run_until_complete(loop.shutdown_asyncgens())
+                if hasattr(loop, "shutdown_default_executor"):
+                    loop.run_until_complete(loop.shutdown_default_executor())
+                else:
+                    loop.run_until_complete(_shutdown_default_executor(loop))
+            finally:
+                if self._set_event_loop:
+                    events.set_event_loop(None)
+                loop.close()
+                self._loop = None
+                self._state = _State.CLOSED
+
+        def get_loop(self) -> AbstractEventLoop:
+            """Return embedded event loop."""
+            self._lazy_init()
+            return self._loop
+
+        def run(self, coro: Coroutine[T_Retval], *, context=None) -> T_Retval:
+            """Run a coroutine inside the embedded event loop."""
+            if not coroutines.iscoroutine(coro):
+                raise ValueError(f"a coroutine was expected, got {coro!r}")
+
+            if events._get_running_loop() is not None:
+                # fail fast with short traceback
+                raise RuntimeError(
+                    "Runner.run() cannot be called from a running event loop"
+                )
+
+            self._lazy_init()
+
+            if context is None:
+                context = self._context
+            task = context.run(self._loop.create_task, coro)
+
+            if (
+                threading.current_thread() is threading.main_thread()
+                and signal.getsignal(signal.SIGINT) is signal.default_int_handler
+            ):
+                sigint_handler = partial(self._on_sigint, main_task=task)
+                try:
+                    signal.signal(signal.SIGINT, sigint_handler)
+                except ValueError:
+                    # `signal.signal` may throw if `threading.main_thread` does
+                    # not support signals (e.g. embedded interpreter with signals
+                    # not registered - see gh-91880)
+                    sigint_handler = None
+            else:
+                sigint_handler = None
+
+            self._interrupt_count = 0
+            try:
+                return self._loop.run_until_complete(task)
+            except exceptions.CancelledError:
+                if self._interrupt_count > 0:
+                    uncancel = getattr(task, "uncancel", None)
+                    if uncancel is not None and uncancel() == 0:
+                        raise KeyboardInterrupt()
+                raise  # CancelledError
+            finally:
+                if (
+                    sigint_handler is not None
+                    and signal.getsignal(signal.SIGINT) is sigint_handler
+                ):
+                    signal.signal(signal.SIGINT, signal.default_int_handler)
+
+        def _lazy_init(self) -> None:
+            if self._state is _State.CLOSED:
+                raise RuntimeError("Runner is closed")
+            if self._state is _State.INITIALIZED:
+                return
+            if self._loop_factory is None:
+                self._loop = events.new_event_loop()
+                if not self._set_event_loop:
+                    # Call set_event_loop only once to avoid calling
+                    # attach_loop multiple times on child watchers
+                    events.set_event_loop(self._loop)
+                    self._set_event_loop = True
+            else:
+                self._loop = self._loop_factory()
+            if self._debug is not None:
+                self._loop.set_debug(self._debug)
+            self._context = contextvars.copy_context()
+            self._state = _State.INITIALIZED
+
+        def _on_sigint(self, signum, frame, main_task: asyncio.Task) -> None:
+            self._interrupt_count += 1
+            if self._interrupt_count == 1 and not main_task.done():
+                main_task.cancel()
+                # wakeup loop if it is blocked by select() with long timeout
+                self._loop.call_soon_threadsafe(lambda: None)
+                return
+            raise KeyboardInterrupt()
+
+    def _cancel_all_tasks(loop: AbstractEventLoop) -> None:
+        to_cancel = tasks.all_tasks(loop)
+        if not to_cancel:
+            return
+
+        for task in to_cancel:
+            task.cancel()
+
+        loop.run_until_complete(tasks.gather(*to_cancel, return_exceptions=True))
+
+        for task in to_cancel:
+            if task.cancelled():
+                continue
+            if task.exception() is not None:
+                loop.call_exception_handler(
+                    {
+                        "message": "unhandled exception during asyncio.run() shutdown",
+                        "exception": task.exception(),
+                        "task": task,
+                    }
+                )
+
+    async def _shutdown_default_executor(loop: AbstractEventLoop) -> None:
+        """Schedule the shutdown of the default executor."""
+
+        def _do_shutdown(future: asyncio.futures.Future) -> None:
+            try:
+                loop._default_executor.shutdown(wait=True)  # type: ignore[attr-defined]
+                loop.call_soon_threadsafe(future.set_result, None)
+            except Exception as ex:
+                loop.call_soon_threadsafe(future.set_exception, ex)
+
+        loop._executor_shutdown_called = True
+        if loop._default_executor is None:
+            return
+        future = loop.create_future()
+        thread = threading.Thread(target=_do_shutdown, args=(future,))
+        thread.start()
+        try:
+            await future
+        finally:
+            thread.join()
+
+
+T_Retval = TypeVar("T_Retval")
+T_contra = TypeVar("T_contra", contravariant=True)
+PosArgsT = TypeVarTuple("PosArgsT")
+P = ParamSpec("P")
+
+_root_task: RunVar[asyncio.Task | None] = RunVar("_root_task")
+
+
+def find_root_task() -> asyncio.Task:
+    root_task = _root_task.get(None)
+    if root_task is not None and not root_task.done():
+        return root_task
+
+    # Look for a task that has been started via run_until_complete()
+    for task in all_tasks():
+        if task._callbacks and not task.done():
+            callbacks = [cb for cb, context in task._callbacks]
+            for cb in callbacks:
+                if (
+                    cb is _run_until_complete_cb
+                    or getattr(cb, "__module__", None) == "uvloop.loop"
+                ):
+                    _root_task.set(task)
+                    return task
+
+    # Look up the topmost task in the AnyIO task tree, if possible
+    task = cast(asyncio.Task, current_task())
+    state = _task_states.get(task)
+    if state:
+        cancel_scope = state.cancel_scope
+        while cancel_scope and cancel_scope._parent_scope is not None:
+            cancel_scope = cancel_scope._parent_scope
+
+        if cancel_scope is not None:
+            return cast(asyncio.Task, cancel_scope._host_task)
+
+    return task
+
+
+def get_callable_name(func: Callable) -> str:
+    module = getattr(func, "__module__", None)
+    qualname = getattr(func, "__qualname__", None)
+    return ".".join([x for x in (module, qualname) if x])
+
+
+#
+# Event loop
+#
+
+_run_vars: WeakKeyDictionary[asyncio.AbstractEventLoop, Any] = WeakKeyDictionary()
+
+
+def _task_started(task: asyncio.Task) -> bool:
+    """Return ``True`` if the task has been started and has not finished."""
+    # The task coro should never be None here, as we never add finished tasks to the
+    # task list
+    coro = task.get_coro()
+    assert coro is not None
+    try:
+        return getcoroutinestate(coro) in (CORO_RUNNING, CORO_SUSPENDED)
+    except AttributeError:
+        # task coro is async_genenerator_asend https://bugs.python.org/issue37771
+        raise Exception(f"Cannot determine if task {task} has started or not") from None
+
+
+#
+# Timeouts and cancellation
+#
+
+
+def is_anyio_cancellation(exc: CancelledError) -> bool:
+    # Sometimes third party frameworks catch a CancelledError and raise a new one, so as
+    # a workaround we have to look at the previous ones in __context__ too for a
+    # matching cancel message
+    while True:
+        if (
+            exc.args
+            and isinstance(exc.args[0], str)
+            and exc.args[0].startswith("Cancelled by cancel scope ")
+        ):
+            return True
+
+        if isinstance(exc.__context__, CancelledError):
+            exc = exc.__context__
+            continue
+
+        return False
+
+
+class CancelScope(BaseCancelScope):
+    def __new__(
+        cls, *, deadline: float = math.inf, shield: bool = False
+    ) -> CancelScope:
+        return object.__new__(cls)
+
+    def __init__(self, deadline: float = math.inf, shield: bool = False):
+        self._deadline = deadline
+        self._shield = shield
+        self._parent_scope: CancelScope | None = None
+        self._child_scopes: set[CancelScope] = set()
+        self._cancel_called = False
+        self._cancelled_caught = False
+        self._active = False
+        self._timeout_handle: asyncio.TimerHandle | None = None
+        self._cancel_handle: asyncio.Handle | None = None
+        self._tasks: set[asyncio.Task] = set()
+        self._host_task: asyncio.Task | None = None
+        if sys.version_info >= (3, 11):
+            self._pending_uncancellations: int | None = 0
+        else:
+            self._pending_uncancellations = None
+
+    def __enter__(self) -> CancelScope:
+        if self._active:
+            raise RuntimeError(
+                "Each CancelScope may only be used for a single 'with' block"
+            )
+
+        self._host_task = host_task = cast(asyncio.Task, current_task())
+        self._tasks.add(host_task)
+        try:
+            task_state = _task_states[host_task]
+        except KeyError:
+            task_state = TaskState(None, self)
+            _task_states[host_task] = task_state
+        else:
+            self._parent_scope = task_state.cancel_scope
+            task_state.cancel_scope = self
+            if self._parent_scope is not None:
+                # If using an eager task factory, the parent scope may not even contain
+                # the host task
+                self._parent_scope._child_scopes.add(self)
+                self._parent_scope._tasks.discard(host_task)
+
+        self._timeout()
+        self._active = True
+
+        # Start cancelling the host task if the scope was cancelled before entering
+        if self._cancel_called:
+            self._deliver_cancellation(self)
+
+        return self
+
+    def __exit__(
+        self,
+        exc_type: type[BaseException] | None,
+        exc_val: BaseException | None,
+        exc_tb: TracebackType | None,
+    ) -> bool | None:
+        del exc_tb
+
+        if not self._active:
+            raise RuntimeError("This cancel scope is not active")
+        if current_task() is not self._host_task:
+            raise RuntimeError(
+                "Attempted to exit cancel scope in a different task than it was "
+                "entered in"
+            )
+
+        assert self._host_task is not None
+        host_task_state = _task_states.get(self._host_task)
+        if host_task_state is None or host_task_state.cancel_scope is not self:
+            raise RuntimeError(
+                "Attempted to exit a cancel scope that isn't the current tasks's "
+                "current cancel scope"
+            )
+
+        try:
+            self._active = False
+            if self._timeout_handle:
+                self._timeout_handle.cancel()
+                self._timeout_handle = None
+
+            self._tasks.remove(self._host_task)
+            if self._parent_scope is not None:
+                self._parent_scope._child_scopes.remove(self)
+                self._parent_scope._tasks.add(self._host_task)
+
+            host_task_state.cancel_scope = self._parent_scope
+
+            # Restart the cancellation effort in the closest visible, cancelled parent
+            # scope if necessary
+            self._restart_cancellation_in_parent()
+
+            # We only swallow the exception iff it was an AnyIO CancelledError, either
+            # directly as exc_val or inside an exception group and there are no cancelled
+            # parent cancel scopes visible to us here
+            if self._cancel_called and not self._parent_cancellation_is_visible_to_us:
+                # For each level-cancel() call made on the host task, call uncancel()
+                while self._pending_uncancellations:
+                    self._host_task.uncancel()
+                    self._pending_uncancellations -= 1
+
+                # Update cancelled_caught and check for exceptions we must not swallow
+                cannot_swallow_exc_val = False
+                if exc_val is not None:
+                    for exc in iterate_exceptions(exc_val):
+                        if isinstance(exc, CancelledError) and is_anyio_cancellation(
+                            exc
+                        ):
+                            self._cancelled_caught = True
+                        else:
+                            cannot_swallow_exc_val = True
+
+                return self._cancelled_caught and not cannot_swallow_exc_val
+            else:
+                if self._pending_uncancellations:
+                    assert self._parent_scope is not None
+                    assert self._parent_scope._pending_uncancellations is not None
+                    self._parent_scope._pending_uncancellations += (
+                        self._pending_uncancellations
+                    )
+                    self._pending_uncancellations = 0
+
+                return False
+        finally:
+            self._host_task = None
+            del exc_val
+
+    @property
+    def _effectively_cancelled(self) -> bool:
+        cancel_scope: CancelScope | None = self
+        while cancel_scope is not None:
+            if cancel_scope._cancel_called:
+                return True
+
+            if cancel_scope.shield:
+                return False
+
+            cancel_scope = cancel_scope._parent_scope
+
+        return False
+
+    @property
+    def _parent_cancellation_is_visible_to_us(self) -> bool:
+        return (
+            self._parent_scope is not None
+            and not self.shield
+            and self._parent_scope._effectively_cancelled
+        )
+
+    def _timeout(self) -> None:
+        if self._deadline != math.inf:
+            loop = get_running_loop()
+            if loop.time() >= self._deadline:
+                self.cancel()
+            else:
+                self._timeout_handle = loop.call_at(self._deadline, self._timeout)
+
+    def _deliver_cancellation(self, origin: CancelScope) -> bool:
+        """
+        Deliver cancellation to directly contained tasks and nested cancel scopes.
+
+        Schedule another run at the end if we still have tasks eligible for
+        cancellation.
+
+        :param origin: the cancel scope that originated the cancellation
+        :return: ``True`` if the delivery needs to be retried on the next cycle
+
+        """
+        should_retry = False
+        current = current_task()
+        for task in self._tasks:
+            should_retry = True
+            if task._must_cancel:  # type: ignore[attr-defined]
+                continue
+
+            # The task is eligible for cancellation if it has started
+            if task is not current and (task is self._host_task or _task_started(task)):
+                waiter = task._fut_waiter  # type: ignore[attr-defined]
+                if not isinstance(waiter, asyncio.Future) or not waiter.done():
+                    task.cancel(f"Cancelled by cancel scope {id(origin):x}")
+                    if (
+                        task is origin._host_task
+                        and origin._pending_uncancellations is not None
+                    ):
+                        origin._pending_uncancellations += 1
+
+        # Deliver cancellation to child scopes that aren't shielded or running their own
+        # cancellation callbacks
+        for scope in self._child_scopes:
+            if not scope._shield and not scope.cancel_called:
+                should_retry = scope._deliver_cancellation(origin) or should_retry
+
+        # Schedule another callback if there are still tasks left
+        if origin is self:
+            if should_retry:
+                self._cancel_handle = get_running_loop().call_soon(
+                    self._deliver_cancellation, origin
+                )
+            else:
+                self._cancel_handle = None
+
+        return should_retry
+
+    def _restart_cancellation_in_parent(self) -> None:
+        """
+        Restart the cancellation effort in the closest directly cancelled parent scope.
+
+        """
+        scope = self._parent_scope
+        while scope is not None:
+            if scope._cancel_called:
+                if scope._cancel_handle is None:
+                    scope._deliver_cancellation(scope)
+
+                break
+
+            # No point in looking beyond any shielded scope
+            if scope._shield:
+                break
+
+            scope = scope._parent_scope
+
+    def cancel(self) -> None:
+        if not self._cancel_called:
+            if self._timeout_handle:
+                self._timeout_handle.cancel()
+                self._timeout_handle = None
+
+            self._cancel_called = True
+            if self._host_task is not None:
+                self._deliver_cancellation(self)
+
+    @property
+    def deadline(self) -> float:
+        return self._deadline
+
+    @deadline.setter
+    def deadline(self, value: float) -> None:
+        self._deadline = float(value)
+        if self._timeout_handle is not None:
+            self._timeout_handle.cancel()
+            self._timeout_handle = None
+
+        if self._active and not self._cancel_called:
+            self._timeout()
+
+    @property
+    def cancel_called(self) -> bool:
+        return self._cancel_called
+
+    @property
+    def cancelled_caught(self) -> bool:
+        return self._cancelled_caught
+
+    @property
+    def shield(self) -> bool:
+        return self._shield
+
+    @shield.setter
+    def shield(self, value: bool) -> None:
+        if self._shield != value:
+            self._shield = value
+            if not value:
+                self._restart_cancellation_in_parent()
+
+
+#
+# Task states
+#
+
+
+class TaskState:
+    """
+    Encapsulates auxiliary task information that cannot be added to the Task instance
+    itself because there are no guarantees about its implementation.
+    """
+
+    __slots__ = "parent_id", "cancel_scope", "__weakref__"
+
+    def __init__(self, parent_id: int | None, cancel_scope: CancelScope | None):
+        self.parent_id = parent_id
+        self.cancel_scope = cancel_scope
+
+
+class TaskStateStore(MutableMapping["Awaitable[Any] | asyncio.Task", TaskState]):
+    def __init__(self) -> None:
+        self._task_states = WeakKeyDictionary[asyncio.Task, TaskState]()
+        self._preliminary_task_states: dict[Awaitable[Any], TaskState] = {}
+
+    def __getitem__(self, key: Awaitable[Any] | asyncio.Task, /) -> TaskState:
+        assert isinstance(key, asyncio.Task)
+        try:
+            return self._task_states[key]
+        except KeyError:
+            if coro := key.get_coro():
+                if state := self._preliminary_task_states.get(coro):
+                    return state
+
+        raise KeyError(key)
+
+    def __setitem__(
+        self, key: asyncio.Task | Awaitable[Any], value: TaskState, /
+    ) -> None:
+        if isinstance(key, asyncio.Task):
+            self._task_states[key] = value
+        else:
+            self._preliminary_task_states[key] = value
+
+    def __delitem__(self, key: asyncio.Task | Awaitable[Any], /) -> None:
+        if isinstance(key, asyncio.Task):
+            del self._task_states[key]
+        else:
+            del self._preliminary_task_states[key]
+
+    def __len__(self) -> int:
+        return len(self._task_states) + len(self._preliminary_task_states)
+
+    def __iter__(self) -> Iterator[Awaitable[Any] | asyncio.Task]:
+        yield from self._task_states
+        yield from self._preliminary_task_states
+
+
+_task_states = TaskStateStore()
+
+
+#
+# Task groups
+#
+
+
+class _AsyncioTaskStatus(abc.TaskStatus):
+    def __init__(self, future: asyncio.Future, parent_id: int):
+        self._future = future
+        self._parent_id = parent_id
+
+    def started(self, value: T_contra | None = None) -> None:
+        try:
+            self._future.set_result(value)
+        except asyncio.InvalidStateError:
+            if not self._future.cancelled():
+                raise RuntimeError(
+                    "called 'started' twice on the same task status"
+                ) from None
+
+        task = cast(asyncio.Task, current_task())
+        _task_states[task].parent_id = self._parent_id
+
+
+async def _wait(tasks: Iterable[asyncio.Task[object]]) -> None:
+    tasks = set(tasks)
+    waiter = get_running_loop().create_future()
+
+    def on_completion(task: asyncio.Task[object]) -> None:
+        tasks.discard(task)
+        if not tasks and not waiter.done():
+            waiter.set_result(None)
+
+    for task in tasks:
+        task.add_done_callback(on_completion)
+        del task
+
+    try:
+        await waiter
+    finally:
+        while tasks:
+            tasks.pop().remove_done_callback(on_completion)
+
+
+class TaskGroup(abc.TaskGroup):
+    def __init__(self) -> None:
+        self.cancel_scope: CancelScope = CancelScope()
+        self._active = False
+        self._exceptions: list[BaseException] = []
+        self._tasks: set[asyncio.Task] = set()
+
+    async def __aenter__(self) -> TaskGroup:
+        self.cancel_scope.__enter__()
+        self._active = True
+        return self
+
+    async def __aexit__(
+        self,
+        exc_type: type[BaseException] | None,
+        exc_val: BaseException | None,
+        exc_tb: TracebackType | None,
+    ) -> bool | None:
+        try:
+            if exc_val is not None:
+                self.cancel_scope.cancel()
+                if not isinstance(exc_val, CancelledError):
+                    self._exceptions.append(exc_val)
+
+            try:
+                if self._tasks:
+                    with CancelScope() as wait_scope:
+                        while self._tasks:
+                            try:
+                                await _wait(self._tasks)
+                            except CancelledError as exc:
+                                # Shield the scope against further cancellation attempts,
+                                # as they're not productive (#695)
+                                wait_scope.shield = True
+                                self.cancel_scope.cancel()
+
+                                # Set exc_val from the cancellation exception if it was
+                                # previously unset. However, we should not replace a native
+                                # cancellation exception with one raise by a cancel scope.
+                                if exc_val is None or (
+                                    isinstance(exc_val, CancelledError)
+                                    and not is_anyio_cancellation(exc)
+                                ):
+                                    exc_val = exc
+                else:
+                    # If there are no child tasks to wait on, run at least one checkpoint
+                    # anyway
+                    await AsyncIOBackend.cancel_shielded_checkpoint()
+
+                self._active = False
+                if self._exceptions:
+                    raise BaseExceptionGroup(
+                        "unhandled errors in a TaskGroup", self._exceptions
+                    )
+                elif exc_val:
+                    raise exc_val
+            except BaseException as exc:
+                if self.cancel_scope.__exit__(type(exc), exc, exc.__traceback__):
+                    return True
+
+                raise
+
+            return self.cancel_scope.__exit__(exc_type, exc_val, exc_tb)
+        finally:
+            del exc_val, exc_tb, self._exceptions
+
+    def _spawn(
+        self,
+        func: Callable[[Unpack[PosArgsT]], Awaitable[Any]],
+        args: tuple[Unpack[PosArgsT]],
+        name: object,
+        task_status_future: asyncio.Future | None = None,
+    ) -> asyncio.Task:
+        def task_done(_task: asyncio.Task) -> None:
+            # task_state = _task_states[_task]
+            assert task_state.cancel_scope is not None
+            assert _task in task_state.cancel_scope._tasks
+            task_state.cancel_scope._tasks.remove(_task)
+            self._tasks.remove(task)
+            del _task_states[_task]
+
+            try:
+                exc = _task.exception()
+            except CancelledError as e:
+                while isinstance(e.__context__, CancelledError):
+                    e = e.__context__
+
+                exc = e
+
+            if exc is not None:
+                # The future can only be in the cancelled state if the host task was
+                # cancelled, so return immediately instead of adding one more
+                # CancelledError to the exceptions list
+                if task_status_future is not None and task_status_future.cancelled():
+                    return
+
+                if task_status_future is None or task_status_future.done():
+                    if not isinstance(exc, CancelledError):
+                        self._exceptions.append(exc)
+
+                    if not self.cancel_scope._effectively_cancelled:
+                        self.cancel_scope.cancel()
+                else:
+                    task_status_future.set_exception(exc)
+            elif task_status_future is not None and not task_status_future.done():
+                task_status_future.set_exception(
+                    RuntimeError("Child exited without calling task_status.started()")
+                )
+
+        if not self._active:
+            raise RuntimeError(
+                "This task group is not active; no new tasks can be started."
+            )
+
+        kwargs = {}
+        if task_status_future:
+            parent_id = id(current_task())
+            kwargs["task_status"] = _AsyncioTaskStatus(
+                task_status_future, id(self.cancel_scope._host_task)
+            )
+        else:
+            parent_id = id(self.cancel_scope._host_task)
+
+        coro = func(*args, **kwargs)
+        if not iscoroutine(coro):
+            prefix = f"{func.__module__}." if hasattr(func, "__module__") else ""
+            raise TypeError(
+                f"Expected {prefix}{func.__qualname__}() to return a coroutine, but "
+                f"the return value ({coro!r}) is not a coroutine object"
+            )
+
+        # Make the spawned task inherit the task group's cancel scope
+        _task_states[coro] = task_state = TaskState(
+            parent_id=parent_id, cancel_scope=self.cancel_scope
+        )
+        name = get_callable_name(func) if name is None else str(name)
+        try:
+            task = create_task(coro, name=name)
+        finally:
+            del _task_states[coro]
+
+        _task_states[task] = task_state
+        self.cancel_scope._tasks.add(task)
+        self._tasks.add(task)
+
+        if task.done():
+            # This can happen with eager task factories
+            task_done(task)
+        else:
+            task.add_done_callback(task_done)
+
+        return task
+
+    def start_soon(
+        self,
+        func: Callable[[Unpack[PosArgsT]], Awaitable[Any]],
+        *args: Unpack[PosArgsT],
+        name: object = None,
+    ) -> None:
+        self._spawn(func, args, name)
+
+    async def start(
+        self, func: Callable[..., Awaitable[Any]], *args: object, name: object = None
+    ) -> Any:
+        future: asyncio.Future = asyncio.Future()
+        task = self._spawn(func, args, name, future)
+
+        # If the task raises an exception after sending a start value without a switch
+        # point between, the task group is cancelled and this method never proceeds to
+        # process the completed future. That's why we have to have a shielded cancel
+        # scope here.
+        try:
+            return await future
+        except CancelledError:
+            # Cancel the task and wait for it to exit before returning
+            task.cancel()
+            with CancelScope(shield=True), suppress(CancelledError):
+                await task
+
+            raise
+
+
+#
+# Threads
+#
+
+_Retval_Queue_Type = tuple[Optional[T_Retval], Optional[BaseException]]
+
+
+class WorkerThread(Thread):
+    MAX_IDLE_TIME = 10  # seconds
+
+    def __init__(
+        self,
+        root_task: asyncio.Task,
+        workers: set[WorkerThread],
+        idle_workers: deque[WorkerThread],
+    ):
+        super().__init__(name="AnyIO worker thread")
+        self.root_task = root_task
+        self.workers = workers
+        self.idle_workers = idle_workers
+        self.loop = root_task._loop
+        self.queue: Queue[
+            tuple[Context, Callable, tuple, asyncio.Future, CancelScope] | None
+        ] = Queue(2)
+        self.idle_since = AsyncIOBackend.current_time()
+        self.stopping = False
+
+    def _report_result(
+        self, future: asyncio.Future, result: Any, exc: BaseException | None
+    ) -> None:
+        self.idle_since = AsyncIOBackend.current_time()
+        if not self.stopping:
+            self.idle_workers.append(self)
+
+        if not future.cancelled():
+            if exc is not None:
+                if isinstance(exc, StopIteration):
+                    new_exc = RuntimeError("coroutine raised StopIteration")
+                    new_exc.__cause__ = exc
+                    exc = new_exc
+
+                future.set_exception(exc)
+            else:
+                future.set_result(result)
+
+    def run(self) -> None:
+        with claim_worker_thread(AsyncIOBackend, self.loop):
+            while True:
+                item = self.queue.get()
+                if item is None:
+                    # Shutdown command received
+                    return
+
+                context, func, args, future, cancel_scope = item
+                if not future.cancelled():
+                    result = None
+                    exception: BaseException | None = None
+                    threadlocals.current_cancel_scope = cancel_scope
+                    try:
+                        result = context.run(func, *args)
+                    except BaseException as exc:
+                        exception = exc
+                    finally:
+                        del threadlocals.current_cancel_scope
+
+                    if not self.loop.is_closed():
+                        self.loop.call_soon_threadsafe(
+                            self._report_result, future, result, exception
+                        )
+
+                self.queue.task_done()
+
+    def stop(self, f: asyncio.Task | None = None) -> None:
+        self.stopping = True
+        self.queue.put_nowait(None)
+        self.workers.discard(self)
+        try:
+            self.idle_workers.remove(self)
+        except ValueError:
+            pass
+
+
+_threadpool_idle_workers: RunVar[deque[WorkerThread]] = RunVar(
+    "_threadpool_idle_workers"
+)
+_threadpool_workers: RunVar[set[WorkerThread]] = RunVar("_threadpool_workers")
+
+
+class BlockingPortal(abc.BlockingPortal):
+    def __new__(cls) -> BlockingPortal:
+        return object.__new__(cls)
+
+    def __init__(self) -> None:
+        super().__init__()
+        self._loop = get_running_loop()
+
+    def _spawn_task_from_thread(
+        self,
+        func: Callable[[Unpack[PosArgsT]], Awaitable[T_Retval] | T_Retval],
+        args: tuple[Unpack[PosArgsT]],
+        kwargs: dict[str, Any],
+        name: object,
+        future: Future[T_Retval],
+    ) -> None:
+        AsyncIOBackend.run_sync_from_thread(
+            partial(self._task_group.start_soon, name=name),
+            (self._call_func, func, args, kwargs, future),
+            self._loop,
+        )
+
+
+#
+# Subprocesses
+#
+
+
+@dataclass(eq=False)
+class StreamReaderWrapper(abc.ByteReceiveStream):
+    _stream: asyncio.StreamReader
+
+    async def receive(self, max_bytes: int = 65536) -> bytes:
+        data = await self._stream.read(max_bytes)
+        if data:
+            return data
+        else:
+            raise EndOfStream
+
+    async def aclose(self) -> None:
+        self._stream.set_exception(ClosedResourceError())
+        await AsyncIOBackend.checkpoint()
+
+
+@dataclass(eq=False)
+class StreamWriterWrapper(abc.ByteSendStream):
+    _stream: asyncio.StreamWriter
+
+    async def send(self, item: bytes) -> None:
+        self._stream.write(item)
+        await self._stream.drain()
+
+    async def aclose(self) -> None:
+        self._stream.close()
+        await AsyncIOBackend.checkpoint()
+
+
+@dataclass(eq=False)
+class Process(abc.Process):
+    _process: asyncio.subprocess.Process
+    _stdin: StreamWriterWrapper | None
+    _stdout: StreamReaderWrapper | None
+    _stderr: StreamReaderWrapper | None
+
+    async def aclose(self) -> None:
+        with CancelScope(shield=True) as scope:
+            if self._stdin:
+                await self._stdin.aclose()
+            if self._stdout:
+                await self._stdout.aclose()
+            if self._stderr:
+                await self._stderr.aclose()
+
+            scope.shield = False
+            try:
+                await self.wait()
+            except BaseException:
+                scope.shield = True
+                self.kill()
+                await self.wait()
+                raise
+
+    async def wait(self) -> int:
+        return await self._process.wait()
+
+    def terminate(self) -> None:
+        self._process.terminate()
+
+    def kill(self) -> None:
+        self._process.kill()
+
+    def send_signal(self, signal: int) -> None:
+        self._process.send_signal(signal)
+
+    @property
+    def pid(self) -> int:
+        return self._process.pid
+
+    @property
+    def returncode(self) -> int | None:
+        return self._process.returncode
+
+    @property
+    def stdin(self) -> abc.ByteSendStream | None:
+        return self._stdin
+
+    @property
+    def stdout(self) -> abc.ByteReceiveStream | None:
+        return self._stdout
+
+    @property
+    def stderr(self) -> abc.ByteReceiveStream | None:
+        return self._stderr
+
+
+def _forcibly_shutdown_process_pool_on_exit(
+    workers: set[Process], _task: object
+) -> None:
+    """
+    Forcibly shuts down worker processes belonging to this event loop."""
+    child_watcher: asyncio.AbstractChildWatcher | None = None
+    if sys.version_info < (3, 12):
+        try:
+            child_watcher = asyncio.get_event_loop_policy().get_child_watcher()
+        except NotImplementedError:
+            pass
+
+    # Close as much as possible (w/o async/await) to avoid warnings
+    for process in workers:
+        if process.returncode is None:
+            continue
+
+        process._stdin._stream._transport.close()  # type: ignore[union-attr]
+        process._stdout._stream._transport.close()  # type: ignore[union-attr]
+        process._stderr._stream._transport.close()  # type: ignore[union-attr]
+        process.kill()
+        if child_watcher:
+            child_watcher.remove_child_handler(process.pid)
+
+
+async def _shutdown_process_pool_on_exit(workers: set[abc.Process]) -> None:
+    """
+    Shuts down worker processes belonging to this event loop.
+
+    NOTE: this only works when the event loop was started using asyncio.run() or
+    anyio.run().
+
+    """
+    process: abc.Process
+    try:
+        await sleep(math.inf)
+    except asyncio.CancelledError:
+        for process in workers:
+            if process.returncode is None:
+                process.kill()
+
+        for process in workers:
+            await process.aclose()
+
+
+#
+# Sockets and networking
+#
+
+
+class StreamProtocol(asyncio.Protocol):
+    read_queue: deque[bytes]
+    read_event: asyncio.Event
+    write_event: asyncio.Event
+    exception: Exception | None = None
+    is_at_eof: bool = False
+
+    def connection_made(self, transport: asyncio.BaseTransport) -> None:
+        self.read_queue = deque()
+        self.read_event = asyncio.Event()
+        self.write_event = asyncio.Event()
+        self.write_event.set()
+        cast(asyncio.Transport, transport).set_write_buffer_limits(0)
+
+    def connection_lost(self, exc: Exception | None) -> None:
+        if exc:
+            self.exception = BrokenResourceError()
+            self.exception.__cause__ = exc
+
+        self.read_event.set()
+        self.write_event.set()
+
+    def data_received(self, data: bytes) -> None:
+        # ProactorEventloop sometimes sends bytearray instead of bytes
+        self.read_queue.append(bytes(data))
+        self.read_event.set()
+
+    def eof_received(self) -> bool | None:
+        self.is_at_eof = True
+        self.read_event.set()
+        return True
+
+    def pause_writing(self) -> None:
+        self.write_event = asyncio.Event()
+
+    def resume_writing(self) -> None:
+        self.write_event.set()
+
+
+class DatagramProtocol(asyncio.DatagramProtocol):
+    read_queue: deque[tuple[bytes, IPSockAddrType]]
+    read_event: asyncio.Event
+    write_event: asyncio.Event
+    exception: Exception | None = None
+
+    def connection_made(self, transport: asyncio.BaseTransport) -> None:
+        self.read_queue = deque(maxlen=100)  # arbitrary value
+        self.read_event = asyncio.Event()
+        self.write_event = asyncio.Event()
+        self.write_event.set()
+
+    def connection_lost(self, exc: Exception | None) -> None:
+        self.read_event.set()
+        self.write_event.set()
+
+    def datagram_received(self, data: bytes, addr: IPSockAddrType) -> None:
+        addr = convert_ipv6_sockaddr(addr)
+        self.read_queue.append((data, addr))
+        self.read_event.set()
+
+    def error_received(self, exc: Exception) -> None:
+        self.exception = exc
+
+    def pause_writing(self) -> None:
+        self.write_event.clear()
+
+    def resume_writing(self) -> None:
+        self.write_event.set()
+
+
+class SocketStream(abc.SocketStream):
+    def __init__(self, transport: asyncio.Transport, protocol: StreamProtocol):
+        self._transport = transport
+        self._protocol = protocol
+        self._receive_guard = ResourceGuard("reading from")
+        self._send_guard = ResourceGuard("writing to")
+        self._closed = False
+
+    @property
+    def _raw_socket(self) -> socket.socket:
+        return self._transport.get_extra_info("socket")
+
+    async def receive(self, max_bytes: int = 65536) -> bytes:
+        with self._receive_guard:
+            if (
+                not self._protocol.read_event.is_set()
+                and not self._transport.is_closing()
+                and not self._protocol.is_at_eof
+            ):
+                self._transport.resume_reading()
+                await self._protocol.read_event.wait()
+                self._transport.pause_reading()
+            else:
+                await AsyncIOBackend.checkpoint()
+
+            try:
+                chunk = self._protocol.read_queue.popleft()
+            except IndexError:
+                if self._closed:
+                    raise ClosedResourceError from None
+                elif self._protocol.exception:
+                    raise self._protocol.exception from None
+                else:
+                    raise EndOfStream from None
+
+            if len(chunk) > max_bytes:
+                # Split the oversized chunk
+                chunk, leftover = chunk[:max_bytes], chunk[max_bytes:]
+                self._protocol.read_queue.appendleft(leftover)
+
+            # If the read queue is empty, clear the flag so that the next call will
+            # block until data is available
+            if not self._protocol.read_queue:
+                self._protocol.read_event.clear()
+
+        return chunk
+
+    async def send(self, item: bytes) -> None:
+        with self._send_guard:
+            await AsyncIOBackend.checkpoint()
+
+            if self._closed:
+                raise ClosedResourceError
+            elif self._protocol.exception is not None:
+                raise self._protocol.exception
+
+            try:
+                self._transport.write(item)
+            except RuntimeError as exc:
+                if self._transport.is_closing():
+                    raise BrokenResourceError from exc
+                else:
+                    raise
+
+            await self._protocol.write_event.wait()
+
+    async def send_eof(self) -> None:
+        try:
+            self._transport.write_eof()
+        except OSError:
+            pass
+
+    async def aclose(self) -> None:
+        if not self._transport.is_closing():
+            self._closed = True
+            try:
+                self._transport.write_eof()
+            except OSError:
+                pass
+
+            self._transport.close()
+            await sleep(0)
+            self._transport.abort()
+
+
+class _RawSocketMixin:
+    _receive_future: asyncio.Future | None = None
+    _send_future: asyncio.Future | None = None
+    _closing = False
+
+    def __init__(self, raw_socket: socket.socket):
+        self.__raw_socket = raw_socket
+        self._receive_guard = ResourceGuard("reading from")
+        self._send_guard = ResourceGuard("writing to")
+
+    @property
+    def _raw_socket(self) -> socket.socket:
+        return self.__raw_socket
+
+    def _wait_until_readable(self, loop: asyncio.AbstractEventLoop) -> asyncio.Future:
+        def callback(f: object) -> None:
+            del self._receive_future
+            loop.remove_reader(self.__raw_socket)
+
+        f = self._receive_future = asyncio.Future()
+        loop.add_reader(self.__raw_socket, f.set_result, None)
+        f.add_done_callback(callback)
+        return f
+
+    def _wait_until_writable(self, loop: asyncio.AbstractEventLoop) -> asyncio.Future:
+        def callback(f: object) -> None:
+            del self._send_future
+            loop.remove_writer(self.__raw_socket)
+
+        f = self._send_future = asyncio.Future()
+        loop.add_writer(self.__raw_socket, f.set_result, None)
+        f.add_done_callback(callback)
+        return f
+
+    async def aclose(self) -> None:
+        if not self._closing:
+            self._closing = True
+            if self.__raw_socket.fileno() != -1:
+                self.__raw_socket.close()
+
+            if self._receive_future:
+                self._receive_future.set_result(None)
+            if self._send_future:
+                self._send_future.set_result(None)
+
+
+class UNIXSocketStream(_RawSocketMixin, abc.UNIXSocketStream):
+    async def send_eof(self) -> None:
+        with self._send_guard:
+            self._raw_socket.shutdown(socket.SHUT_WR)
+
+    async def receive(self, max_bytes: int = 65536) -> bytes:
+        loop = get_running_loop()
+        await AsyncIOBackend.checkpoint()
+        with self._receive_guard:
+            while True:
+                try:
+                    data = self._raw_socket.recv(max_bytes)
+                except BlockingIOError:
+                    await self._wait_until_readable(loop)
+                except OSError as exc:
+                    if self._closing:
+                        raise ClosedResourceError from None
+                    else:
+                        raise BrokenResourceError from exc
+                else:
+                    if not data:
+                        raise EndOfStream
+
+                    return data
+
+    async def send(self, item: bytes) -> None:
+        loop = get_running_loop()
+        await AsyncIOBackend.checkpoint()
+        with self._send_guard:
+            view = memoryview(item)
+            while view:
+                try:
+                    bytes_sent = self._raw_socket.send(view)
+                except BlockingIOError:
+                    await self._wait_until_writable(loop)
+                except OSError as exc:
+                    if self._closing:
+                        raise ClosedResourceError from None
+                    else:
+                        raise BrokenResourceError from exc
+                else:
+                    view = view[bytes_sent:]
+
+    async def receive_fds(self, msglen: int, maxfds: int) -> tuple[bytes, list[int]]:
+        if not isinstance(msglen, int) or msglen < 0:
+            raise ValueError("msglen must be a non-negative integer")
+        if not isinstance(maxfds, int) or maxfds < 1:
+            raise ValueError("maxfds must be a positive integer")
+
+        loop = get_running_loop()
+        fds = array.array("i")
+        await AsyncIOBackend.checkpoint()
+        with self._receive_guard:
+            while True:
+                try:
+                    message, ancdata, flags, addr = self._raw_socket.recvmsg(
+                        msglen, socket.CMSG_LEN(maxfds * fds.itemsize)
+                    )
+                except BlockingIOError:
+                    await self._wait_until_readable(loop)
+                except OSError as exc:
+                    if self._closing:
+                        raise ClosedResourceError from None
+                    else:
+                        raise BrokenResourceError from exc
+                else:
+                    if not message and not ancdata:
+                        raise EndOfStream
+
+                    break
+
+        for cmsg_level, cmsg_type, cmsg_data in ancdata:
+            if cmsg_level != socket.SOL_SOCKET or cmsg_type != socket.SCM_RIGHTS:
+                raise RuntimeError(
+                    f"Received unexpected ancillary data; message = {message!r}, "
+                    f"cmsg_level = {cmsg_level}, cmsg_type = {cmsg_type}"
+                )
+
+            fds.frombytes(cmsg_data[: len(cmsg_data) - (len(cmsg_data) % fds.itemsize)])
+
+        return message, list(fds)
+
+    async def send_fds(self, message: bytes, fds: Collection[int | IOBase]) -> None:
+        if not message:
+            raise ValueError("message must not be empty")
+        if not fds:
+            raise ValueError("fds must not be empty")
+
+        loop = get_running_loop()
+        filenos: list[int] = []
+        for fd in fds:
+            if isinstance(fd, int):
+                filenos.append(fd)
+            elif isinstance(fd, IOBase):
+                filenos.append(fd.fileno())
+
+        fdarray = array.array("i", filenos)
+        await AsyncIOBackend.checkpoint()
+        with self._send_guard:
+            while True:
+                try:
+                    # The ignore can be removed after mypy picks up
+                    # https://github.com/python/typeshed/pull/5545
+                    self._raw_socket.sendmsg(
+                        [message], [(socket.SOL_SOCKET, socket.SCM_RIGHTS, fdarray)]
+                    )
+                    break
+                except BlockingIOError:
+                    await self._wait_until_writable(loop)
+                except OSError as exc:
+                    if self._closing:
+                        raise ClosedResourceError from None
+                    else:
+                        raise BrokenResourceError from exc
+
+
+class TCPSocketListener(abc.SocketListener):
+    _accept_scope: CancelScope | None = None
+    _closed = False
+
+    def __init__(self, raw_socket: socket.socket):
+        self.__raw_socket = raw_socket
+        self._loop = cast(asyncio.BaseEventLoop, get_running_loop())
+        self._accept_guard = ResourceGuard("accepting connections from")
+
+    @property
+    def _raw_socket(self) -> socket.socket:
+        return self.__raw_socket
+
+    async def accept(self) -> abc.SocketStream:
+        if self._closed:
+            raise ClosedResourceError
+
+        with self._accept_guard:
+            await AsyncIOBackend.checkpoint()
+            with CancelScope() as self._accept_scope:
+                try:
+                    client_sock, _addr = await self._loop.sock_accept(self._raw_socket)
+                except asyncio.CancelledError:
+                    # Workaround for https://bugs.python.org/issue41317
+                    try:
+                        self._loop.remove_reader(self._raw_socket)
+                    except (ValueError, NotImplementedError):
+                        pass
+
+                    if self._closed:
+                        raise ClosedResourceError from None
+
+                    raise
+                finally:
+                    self._accept_scope = None
+
+        client_sock.setsockopt(socket.IPPROTO_TCP, socket.TCP_NODELAY, 1)
+        transport, protocol = await self._loop.connect_accepted_socket(
+            StreamProtocol, client_sock
+        )
+        return SocketStream(transport, protocol)
+
+    async def aclose(self) -> None:
+        if self._closed:
+            return
+
+        self._closed = True
+        if self._accept_scope:
+            # Workaround for https://bugs.python.org/issue41317
+            try:
+                self._loop.remove_reader(self._raw_socket)
+            except (ValueError, NotImplementedError):
+                pass
+
+            self._accept_scope.cancel()
+            await sleep(0)
+
+        self._raw_socket.close()
+
+
+class UNIXSocketListener(abc.SocketListener):
+    def __init__(self, raw_socket: socket.socket):
+        self.__raw_socket = raw_socket
+        self._loop = get_running_loop()
+        self._accept_guard = ResourceGuard("accepting connections from")
+        self._closed = False
+
+    async def accept(self) -> abc.SocketStream:
+        await AsyncIOBackend.checkpoint()
+        with self._accept_guard:
+            while True:
+                try:
+                    client_sock, _ = self.__raw_socket.accept()
+                    client_sock.setblocking(False)
+                    return UNIXSocketStream(client_sock)
+                except BlockingIOError:
+                    f: asyncio.Future = asyncio.Future()
+                    self._loop.add_reader(self.__raw_socket, f.set_result, None)
+                    f.add_done_callback(
+                        lambda _: self._loop.remove_reader(self.__raw_socket)
+                    )
+                    await f
+                except OSError as exc:
+                    if self._closed:
+                        raise ClosedResourceError from None
+                    else:
+                        raise BrokenResourceError from exc
+
+    async def aclose(self) -> None:
+        self._closed = True
+        self.__raw_socket.close()
+
+    @property
+    def _raw_socket(self) -> socket.socket:
+        return self.__raw_socket
+
+
+class UDPSocket(abc.UDPSocket):
+    def __init__(
+        self, transport: asyncio.DatagramTransport, protocol: DatagramProtocol
+    ):
+        self._transport = transport
+        self._protocol = protocol
+        self._receive_guard = ResourceGuard("reading from")
+        self._send_guard = ResourceGuard("writing to")
+        self._closed = False
+
+    @property
+    def _raw_socket(self) -> socket.socket:
+        return self._transport.get_extra_info("socket")
+
+    async def aclose(self) -> None:
+        if not self._transport.is_closing():
+            self._closed = True
+            self._transport.close()
+
+    async def receive(self) -> tuple[bytes, IPSockAddrType]:
+        with self._receive_guard:
+            await AsyncIOBackend.checkpoint()
+
+            # If the buffer is empty, ask for more data
+            if not self._protocol.read_queue and not self._transport.is_closing():
+                self._protocol.read_event.clear()
+                await self._protocol.read_event.wait()
+
+            try:
+                return self._protocol.read_queue.popleft()
+            except IndexError:
+                if self._closed:
+                    raise ClosedResourceError from None
+                else:
+                    raise BrokenResourceError from None
+
+    async def send(self, item: UDPPacketType) -> None:
+        with self._send_guard:
+            await AsyncIOBackend.checkpoint()
+            await self._protocol.write_event.wait()
+            if self._closed:
+                raise ClosedResourceError
+            elif self._transport.is_closing():
+                raise BrokenResourceError
+            else:
+                self._transport.sendto(*item)
+
+
+class ConnectedUDPSocket(abc.ConnectedUDPSocket):
+    def __init__(
+        self, transport: asyncio.DatagramTransport, protocol: DatagramProtocol
+    ):
+        self._transport = transport
+        self._protocol = protocol
+        self._receive_guard = ResourceGuard("reading from")
+        self._send_guard = ResourceGuard("writing to")
+        self._closed = False
+
+    @property
+    def _raw_socket(self) -> socket.socket:
+        return self._transport.get_extra_info("socket")
+
+    async def aclose(self) -> None:
+        if not self._transport.is_closing():
+            self._closed = True
+            self._transport.close()
+
+    async def receive(self) -> bytes:
+        with self._receive_guard:
+            await AsyncIOBackend.checkpoint()
+
+            # If the buffer is empty, ask for more data
+            if not self._protocol.read_queue and not self._transport.is_closing():
+                self._protocol.read_event.clear()
+                await self._protocol.read_event.wait()
+
+            try:
+                packet = self._protocol.read_queue.popleft()
+            except IndexError:
+                if self._closed:
+                    raise ClosedResourceError from None
+                else:
+                    raise BrokenResourceError from None
+
+            return packet[0]
+
+    async def send(self, item: bytes) -> None:
+        with self._send_guard:
+            await AsyncIOBackend.checkpoint()
+            await self._protocol.write_event.wait()
+            if self._closed:
+                raise ClosedResourceError
+            elif self._transport.is_closing():
+                raise BrokenResourceError
+            else:
+                self._transport.sendto(item)
+
+
+class UNIXDatagramSocket(_RawSocketMixin, abc.UNIXDatagramSocket):
+    async def receive(self) -> UNIXDatagramPacketType:
+        loop = get_running_loop()
+        await AsyncIOBackend.checkpoint()
+        with self._receive_guard:
+            while True:
+                try:
+                    data = self._raw_socket.recvfrom(65536)
+                except BlockingIOError:
+                    await self._wait_until_readable(loop)
+                except OSError as exc:
+                    if self._closing:
+                        raise ClosedResourceError from None
+                    else:
+                        raise BrokenResourceError from exc
+                else:
+                    return data
+
+    async def send(self, item: UNIXDatagramPacketType) -> None:
+        loop = get_running_loop()
+        await AsyncIOBackend.checkpoint()
+        with self._send_guard:
+            while True:
+                try:
+                    self._raw_socket.sendto(*item)
+                except BlockingIOError:
+                    await self._wait_until_writable(loop)
+                except OSError as exc:
+                    if self._closing:
+                        raise ClosedResourceError from None
+                    else:
+                        raise BrokenResourceError from exc
+                else:
+                    return
+
+
+class ConnectedUNIXDatagramSocket(_RawSocketMixin, abc.ConnectedUNIXDatagramSocket):
+    async def receive(self) -> bytes:
+        loop = get_running_loop()
+        await AsyncIOBackend.checkpoint()
+        with self._receive_guard:
+            while True:
+                try:
+                    data = self._raw_socket.recv(65536)
+                except BlockingIOError:
+                    await self._wait_until_readable(loop)
+                except OSError as exc:
+                    if self._closing:
+                        raise ClosedResourceError from None
+                    else:
+                        raise BrokenResourceError from exc
+                else:
+                    return data
+
+    async def send(self, item: bytes) -> None:
+        loop = get_running_loop()
+        await AsyncIOBackend.checkpoint()
+        with self._send_guard:
+            while True:
+                try:
+                    self._raw_socket.send(item)
+                except BlockingIOError:
+                    await self._wait_until_writable(loop)
+                except OSError as exc:
+                    if self._closing:
+                        raise ClosedResourceError from None
+                    else:
+                        raise BrokenResourceError from exc
+                else:
+                    return
+
+
+_read_events: RunVar[dict[int, asyncio.Event]] = RunVar("read_events")
+_write_events: RunVar[dict[int, asyncio.Event]] = RunVar("write_events")
+
+
+#
+# Synchronization
+#
+
+
+class Event(BaseEvent):
+    def __new__(cls) -> Event:
+        return object.__new__(cls)
+
+    def __init__(self) -> None:
+        self._event = asyncio.Event()
+
+    def set(self) -> None:
+        self._event.set()
+
+    def is_set(self) -> bool:
+        return self._event.is_set()
+
+    async def wait(self) -> None:
+        if self.is_set():
+            await AsyncIOBackend.checkpoint()
+        else:
+            await self._event.wait()
+
+    def statistics(self) -> EventStatistics:
+        return EventStatistics(len(self._event._waiters))
+
+
+class Lock(BaseLock):
+    def __new__(cls, *, fast_acquire: bool = False) -> Lock:
+        return object.__new__(cls)
+
+    def __init__(self, *, fast_acquire: bool = False) -> None:
+        self._fast_acquire = fast_acquire
+        self._owner_task: asyncio.Task | None = None
+        self._waiters: deque[tuple[asyncio.Task, asyncio.Future]] = deque()
+
+    async def acquire(self) -> None:
+        task = cast(asyncio.Task, current_task())
+        if self._owner_task is None and not self._waiters:
+            await AsyncIOBackend.checkpoint_if_cancelled()
+            self._owner_task = task
+
+            # Unless on the "fast path", yield control of the event loop so that other
+            # tasks can run too
+            if not self._fast_acquire:
+                try:
+                    await AsyncIOBackend.cancel_shielded_checkpoint()
+                except CancelledError:
+                    self.release()
+                    raise
+
+            return
+
+        if self._owner_task == task:
+            raise RuntimeError("Attempted to acquire an already held Lock")
+
+        fut: asyncio.Future[None] = asyncio.Future()
+        item = task, fut
+        self._waiters.append(item)
+        try:
+            await fut
+        except CancelledError:
+            self._waiters.remove(item)
+            if self._owner_task is task:
+                self.release()
+
+            raise
+
+        self._waiters.remove(item)
+
+    def acquire_nowait(self) -> None:
+        task = cast(asyncio.Task, current_task())
+        if self._owner_task is None and not self._waiters:
+            self._owner_task = task
+            return
+
+        if self._owner_task is task:
+            raise RuntimeError("Attempted to acquire an already held Lock")
+
+        raise WouldBlock
+
+    def locked(self) -> bool:
+        return self._owner_task is not None
+
+    def release(self) -> None:
+        if self._owner_task != current_task():
+            raise RuntimeError("The current task is not holding this lock")
+
+        for task, fut in self._waiters:
+            if not fut.cancelled():
+                self._owner_task = task
+                fut.set_result(None)
+                return
+
+        self._owner_task = None
+
+    def statistics(self) -> LockStatistics:
+        task_info = AsyncIOTaskInfo(self._owner_task) if self._owner_task else None
+        return LockStatistics(self.locked(), task_info, len(self._waiters))
+
+
+class Semaphore(BaseSemaphore):
+    def __new__(
+        cls,
+        initial_value: int,
+        *,
+        max_value: int | None = None,
+        fast_acquire: bool = False,
+    ) -> Semaphore:
+        return object.__new__(cls)
+
+    def __init__(
+        self,
+        initial_value: int,
+        *,
+        max_value: int | None = None,
+        fast_acquire: bool = False,
+    ):
+        super().__init__(initial_value, max_value=max_value)
+        self._value = initial_value
+        self._max_value = max_value
+        self._fast_acquire = fast_acquire
+        self._waiters: deque[asyncio.Future[None]] = deque()
+
+    async def acquire(self) -> None:
+        if self._value > 0 and not self._waiters:
+            await AsyncIOBackend.checkpoint_if_cancelled()
+            self._value -= 1
+
+            # Unless on the "fast path", yield control of the event loop so that other
+            # tasks can run too
+            if not self._fast_acquire:
+                try:
+                    await AsyncIOBackend.cancel_shielded_checkpoint()
+                except CancelledError:
+                    self.release()
+                    raise
+
+            return
+
+        fut: asyncio.Future[None] = asyncio.Future()
+        self._waiters.append(fut)
+        try:
+            await fut
+        except CancelledError:
+            try:
+                self._waiters.remove(fut)
+            except ValueError:
+                self.release()
+
+            raise
+
+    def acquire_nowait(self) -> None:
+        if self._value == 0:
+            raise WouldBlock
+
+        self._value -= 1
+
+    def release(self) -> None:
+        if self._max_value is not None and self._value == self._max_value:
+            raise ValueError("semaphore released too many times")
+
+        for fut in self._waiters:
+            if not fut.cancelled():
+                fut.set_result(None)
+                self._waiters.remove(fut)
+                return
+
+        self._value += 1
+
+    @property
+    def value(self) -> int:
+        return self._value
+
+    @property
+    def max_value(self) -> int | None:
+        return self._max_value
+
+    def statistics(self) -> SemaphoreStatistics:
+        return SemaphoreStatistics(len(self._waiters))
+
+
+class CapacityLimiter(BaseCapacityLimiter):
+    _total_tokens: float = 0
+
+    def __new__(cls, total_tokens: float) -> CapacityLimiter:
+        return object.__new__(cls)
+
+    def __init__(self, total_tokens: float):
+        self._borrowers: set[Any] = set()
+        self._wait_queue: OrderedDict[Any, asyncio.Event] = OrderedDict()
+        self.total_tokens = total_tokens
+
+    async def __aenter__(self) -> None:
+        await self.acquire()
+
+    async def __aexit__(
+        self,
+        exc_type: type[BaseException] | None,
+        exc_val: BaseException | None,
+        exc_tb: TracebackType | None,
+    ) -> None:
+        self.release()
+
+    @property
+    def total_tokens(self) -> float:
+        return self._total_tokens
+
+    @total_tokens.setter
+    def total_tokens(self, value: float) -> None:
+        if not isinstance(value, int) and not math.isinf(value):
+            raise TypeError("total_tokens must be an int or math.inf")
+        if value < 1:
+            raise ValueError("total_tokens must be >= 1")
+
+        waiters_to_notify = max(value - self._total_tokens, 0)
+        self._total_tokens = value
+
+        # Notify waiting tasks that they have acquired the limiter
+        while self._wait_queue and waiters_to_notify:
+            event = self._wait_queue.popitem(last=False)[1]
+            event.set()
+            waiters_to_notify -= 1
+
+    @property
+    def borrowed_tokens(self) -> int:
+        return len(self._borrowers)
+
+    @property
+    def available_tokens(self) -> float:
+        return self._total_tokens - len(self._borrowers)
+
+    def acquire_nowait(self) -> None:
+        self.acquire_on_behalf_of_nowait(current_task())
+
+    def acquire_on_behalf_of_nowait(self, borrower: object) -> None:
+        if borrower in self._borrowers:
+            raise RuntimeError(
+                "this borrower is already holding one of this CapacityLimiter's "
+                "tokens"
+            )
+
+        if self._wait_queue or len(self._borrowers) >= self._total_tokens:
+            raise WouldBlock
+
+        self._borrowers.add(borrower)
+
+    async def acquire(self) -> None:
+        return await self.acquire_on_behalf_of(current_task())
+
+    async def acquire_on_behalf_of(self, borrower: object) -> None:
+        await AsyncIOBackend.checkpoint_if_cancelled()
+        try:
+            self.acquire_on_behalf_of_nowait(borrower)
+        except WouldBlock:
+            event = asyncio.Event()
+            self._wait_queue[borrower] = event
+            try:
+                await event.wait()
+            except BaseException:
+                self._wait_queue.pop(borrower, None)
+                raise
+
+            self._borrowers.add(borrower)
+        else:
+            try:
+                await AsyncIOBackend.cancel_shielded_checkpoint()
+            except BaseException:
+                self.release()
+                raise
+
+    def release(self) -> None:
+        self.release_on_behalf_of(current_task())
+
+    def release_on_behalf_of(self, borrower: object) -> None:
+        try:
+            self._borrowers.remove(borrower)
+        except KeyError:
+            raise RuntimeError(
+                "this borrower isn't holding any of this CapacityLimiter's tokens"
+            ) from None
+
+        # Notify the next task in line if this limiter has free capacity now
+        if self._wait_queue and len(self._borrowers) < self._total_tokens:
+            event = self._wait_queue.popitem(last=False)[1]
+            event.set()
+
+    def statistics(self) -> CapacityLimiterStatistics:
+        return CapacityLimiterStatistics(
+            self.borrowed_tokens,
+            self.total_tokens,
+            tuple(self._borrowers),
+            len(self._wait_queue),
+        )
+
+
+_default_thread_limiter: RunVar[CapacityLimiter] = RunVar("_default_thread_limiter")
+
+
+#
+# Operating system signals
+#
+
+
+class _SignalReceiver:
+    def __init__(self, signals: tuple[Signals, ...]):
+        self._signals = signals
+        self._loop = get_running_loop()
+        self._signal_queue: deque[Signals] = deque()
+        self._future: asyncio.Future = asyncio.Future()
+        self._handled_signals: set[Signals] = set()
+
+    def _deliver(self, signum: Signals) -> None:
+        self._signal_queue.append(signum)
+        if not self._future.done():
+            self._future.set_result(None)
+
+    def __enter__(self) -> _SignalReceiver:
+        for sig in set(self._signals):
+            self._loop.add_signal_handler(sig, self._deliver, sig)
+            self._handled_signals.add(sig)
+
+        return self
+
+    def __exit__(
+        self,
+        exc_type: type[BaseException] | None,
+        exc_val: BaseException | None,
+        exc_tb: TracebackType | None,
+    ) -> bool | None:
+        for sig in self._handled_signals:
+            self._loop.remove_signal_handler(sig)
+        return None
+
+    def __aiter__(self) -> _SignalReceiver:
+        return self
+
+    async def __anext__(self) -> Signals:
+        await AsyncIOBackend.checkpoint()
+        if not self._signal_queue:
+            self._future = asyncio.Future()
+            await self._future
+
+        return self._signal_queue.popleft()
+
+
+#
+# Testing and debugging
+#
+
+
+class AsyncIOTaskInfo(TaskInfo):
+    def __init__(self, task: asyncio.Task):
+        task_state = _task_states.get(task)
+        if task_state is None:
+            parent_id = None
+        else:
+            parent_id = task_state.parent_id
+
+        coro = task.get_coro()
+        assert coro is not None, "created TaskInfo from a completed Task"
+        super().__init__(id(task), parent_id, task.get_name(), coro)
+        self._task = weakref.ref(task)
+
+    def has_pending_cancellation(self) -> bool:
+        if not (task := self._task()):
+            # If the task isn't around anymore, it won't have a pending cancellation
+            return False
+
+        if task._must_cancel:  # type: ignore[attr-defined]
+            return True
+        elif (
+            isinstance(task._fut_waiter, asyncio.Future)  # type: ignore[attr-defined]
+            and task._fut_waiter.cancelled()  # type: ignore[attr-defined]
+        ):
+            return True
+
+        if task_state := _task_states.get(task):
+            if cancel_scope := task_state.cancel_scope:
+                return cancel_scope._effectively_cancelled
+
+        return False
+
+
+class TestRunner(abc.TestRunner):
+    _send_stream: MemoryObjectSendStream[tuple[Awaitable[Any], asyncio.Future[Any]]]
+
+    def __init__(
+        self,
+        *,
+        debug: bool | None = None,
+        use_uvloop: bool = False,
+        loop_factory: Callable[[], AbstractEventLoop] | None = None,
+    ) -> None:
+        if use_uvloop and loop_factory is None:
+            import uvloop
+
+            loop_factory = uvloop.new_event_loop
+
+        self._runner = Runner(debug=debug, loop_factory=loop_factory)
+        self._exceptions: list[BaseException] = []
+        self._runner_task: asyncio.Task | None = None
+
+    def __enter__(self) -> TestRunner:
+        self._runner.__enter__()
+        self.get_loop().set_exception_handler(self._exception_handler)
+        return self
+
+    def __exit__(
+        self,
+        exc_type: type[BaseException] | None,
+        exc_val: BaseException | None,
+        exc_tb: TracebackType | None,
+    ) -> None:
+        self._runner.__exit__(exc_type, exc_val, exc_tb)
+
+    def get_loop(self) -> AbstractEventLoop:
+        return self._runner.get_loop()
+
+    def _exception_handler(
+        self, loop: asyncio.AbstractEventLoop, context: dict[str, Any]
+    ) -> None:
+        if isinstance(context.get("exception"), Exception):
+            self._exceptions.append(context["exception"])
+        else:
+            loop.default_exception_handler(context)
+
+    def _raise_async_exceptions(self) -> None:
+        # Re-raise any exceptions raised in asynchronous callbacks
+        if self._exceptions:
+            exceptions, self._exceptions = self._exceptions, []
+            if len(exceptions) == 1:
+                raise exceptions[0]
+            elif exceptions:
+                raise BaseExceptionGroup(
+                    "Multiple exceptions occurred in asynchronous callbacks", exceptions
+                )
+
+    async def _run_tests_and_fixtures(
+        self,
+        receive_stream: MemoryObjectReceiveStream[
+            tuple[Awaitable[T_Retval], asyncio.Future[T_Retval]]
+        ],
+    ) -> None:
+        from _pytest.outcomes import OutcomeException
+
+        with receive_stream, self._send_stream:
+            async for coro, future in receive_stream:
+                try:
+                    retval = await coro
+                except CancelledError as exc:
+                    if not future.cancelled():
+                        future.cancel(*exc.args)
+
+                    raise
+                except BaseException as exc:
+                    if not future.cancelled():
+                        future.set_exception(exc)
+
+                    if not isinstance(exc, (Exception, OutcomeException)):
+                        raise
+                else:
+                    if not future.cancelled():
+                        future.set_result(retval)
+
+    async def _call_in_runner_task(
+        self,
+        func: Callable[P, Awaitable[T_Retval]],
+        *args: P.args,
+        **kwargs: P.kwargs,
+    ) -> T_Retval:
+        if not self._runner_task:
+            self._send_stream, receive_stream = create_memory_object_stream[
+                tuple[Awaitable[Any], asyncio.Future]
+            ](1)
+            self._runner_task = self.get_loop().create_task(
+                self._run_tests_and_fixtures(receive_stream)
+            )
+
+        coro = func(*args, **kwargs)
+        future: asyncio.Future[T_Retval] = self.get_loop().create_future()
+        self._send_stream.send_nowait((coro, future))
+        return await future
+
+    def run_asyncgen_fixture(
+        self,
+        fixture_func: Callable[..., AsyncGenerator[T_Retval, Any]],
+        kwargs: dict[str, Any],
+    ) -> Iterable[T_Retval]:
+        asyncgen = fixture_func(**kwargs)
+        fixturevalue: T_Retval = self.get_loop().run_until_complete(
+            self._call_in_runner_task(asyncgen.asend, None)
+        )
+        self._raise_async_exceptions()
+
+        yield fixturevalue
+
+        try:
+            self.get_loop().run_until_complete(
+                self._call_in_runner_task(asyncgen.asend, None)
+            )
+        except StopAsyncIteration:
+            self._raise_async_exceptions()
+        else:
+            self.get_loop().run_until_complete(asyncgen.aclose())
+            raise RuntimeError("Async generator fixture did not stop")
+
+    def run_fixture(
+        self,
+        fixture_func: Callable[..., Coroutine[Any, Any, T_Retval]],
+        kwargs: dict[str, Any],
+    ) -> T_Retval:
+        retval = self.get_loop().run_until_complete(
+            self._call_in_runner_task(fixture_func, **kwargs)
+        )
+        self._raise_async_exceptions()
+        return retval
+
+    def run_test(
+        self, test_func: Callable[..., Coroutine[Any, Any, Any]], kwargs: dict[str, Any]
+    ) -> None:
+        try:
+            self.get_loop().run_until_complete(
+                self._call_in_runner_task(test_func, **kwargs)
+            )
+        except Exception as exc:
+            self._exceptions.append(exc)
+
+        self._raise_async_exceptions()
+
+
+class AsyncIOBackend(AsyncBackend):
+    @classmethod
+    def run(
+        cls,
+        func: Callable[[Unpack[PosArgsT]], Awaitable[T_Retval]],
+        args: tuple[Unpack[PosArgsT]],
+        kwargs: dict[str, Any],
+        options: dict[str, Any],
+    ) -> T_Retval:
+        @wraps(func)
+        async def wrapper() -> T_Retval:
+            task = cast(asyncio.Task, current_task())
+            task.set_name(get_callable_name(func))
+            _task_states[task] = TaskState(None, None)
+
+            try:
+                return await func(*args)
+            finally:
+                del _task_states[task]
+
+        debug = options.get("debug", None)
+        loop_factory = options.get("loop_factory", None)
+        if loop_factory is None and options.get("use_uvloop", False):
+            import uvloop
+
+            loop_factory = uvloop.new_event_loop
+
+        with Runner(debug=debug, loop_factory=loop_factory) as runner:
+            return runner.run(wrapper())
+
+    @classmethod
+    def current_token(cls) -> object:
+        return get_running_loop()
+
+    @classmethod
+    def current_time(cls) -> float:
+        return get_running_loop().time()
+
+    @classmethod
+    def cancelled_exception_class(cls) -> type[BaseException]:
+        return CancelledError
+
+    @classmethod
+    async def checkpoint(cls) -> None:
+        await sleep(0)
+
+    @classmethod
+    async def checkpoint_if_cancelled(cls) -> None:
+        task = current_task()
+        if task is None:
+            return
+
+        try:
+            cancel_scope = _task_states[task].cancel_scope
+        except KeyError:
+            return
+
+        while cancel_scope:
+            if cancel_scope.cancel_called:
+                await sleep(0)
+            elif cancel_scope.shield:
+                break
+            else:
+                cancel_scope = cancel_scope._parent_scope
+
+    @classmethod
+    async def cancel_shielded_checkpoint(cls) -> None:
+        with CancelScope(shield=True):
+            await sleep(0)
+
+    @classmethod
+    async def sleep(cls, delay: float) -> None:
+        await sleep(delay)
+
+    @classmethod
+    def create_cancel_scope(
+        cls, *, deadline: float = math.inf, shield: bool = False
+    ) -> CancelScope:
+        return CancelScope(deadline=deadline, shield=shield)
+
+    @classmethod
+    def current_effective_deadline(cls) -> float:
+        if (task := current_task()) is None:
+            return math.inf
+
+        try:
+            cancel_scope = _task_states[task].cancel_scope
+        except KeyError:
+            return math.inf
+
+        deadline = math.inf
+        while cancel_scope:
+            deadline = min(deadline, cancel_scope.deadline)
+            if cancel_scope._cancel_called:
+                deadline = -math.inf
+                break
+            elif cancel_scope.shield:
+                break
+            else:
+                cancel_scope = cancel_scope._parent_scope
+
+        return deadline
+
+    @classmethod
+    def create_task_group(cls) -> abc.TaskGroup:
+        return TaskGroup()
+
+    @classmethod
+    def create_event(cls) -> abc.Event:
+        return Event()
+
+    @classmethod
+    def create_lock(cls, *, fast_acquire: bool) -> abc.Lock:
+        return Lock(fast_acquire=fast_acquire)
+
+    @classmethod
+    def create_semaphore(
+        cls,
+        initial_value: int,
+        *,
+        max_value: int | None = None,
+        fast_acquire: bool = False,
+    ) -> abc.Semaphore:
+        return Semaphore(initial_value, max_value=max_value, fast_acquire=fast_acquire)
+
+    @classmethod
+    def create_capacity_limiter(cls, total_tokens: float) -> abc.CapacityLimiter:
+        return CapacityLimiter(total_tokens)
+
+    @classmethod
+    async def run_sync_in_worker_thread(
+        cls,
+        func: Callable[[Unpack[PosArgsT]], T_Retval],
+        args: tuple[Unpack[PosArgsT]],
+        abandon_on_cancel: bool = False,
+        limiter: abc.CapacityLimiter | None = None,
+    ) -> T_Retval:
+        await cls.checkpoint()
+
+        # If this is the first run in this event loop thread, set up the necessary
+        # variables
+        try:
+            idle_workers = _threadpool_idle_workers.get()
+            workers = _threadpool_workers.get()
+        except LookupError:
+            idle_workers = deque()
+            workers = set()
+            _threadpool_idle_workers.set(idle_workers)
+            _threadpool_workers.set(workers)
+
+        async with limiter or cls.current_default_thread_limiter():
+            with CancelScope(shield=not abandon_on_cancel) as scope:
+                future: asyncio.Future = asyncio.Future()
+                root_task = find_root_task()
+                if not idle_workers:
+                    worker = WorkerThread(root_task, workers, idle_workers)
+                    worker.start()
+                    workers.add(worker)
+                    root_task.add_done_callback(worker.stop)
+                else:
+                    worker = idle_workers.pop()
+
+                    # Prune any other workers that have been idle for MAX_IDLE_TIME
+                    # seconds or longer
+                    now = cls.current_time()
+                    while idle_workers:
+                        if (
+                            now - idle_workers[0].idle_since
+                            < WorkerThread.MAX_IDLE_TIME
+                        ):
+                            break
+
+                        expired_worker = idle_workers.popleft()
+                        expired_worker.root_task.remove_done_callback(
+                            expired_worker.stop
+                        )
+                        expired_worker.stop()
+
+                context = copy_context()
+                context.run(sniffio.current_async_library_cvar.set, None)
+                if abandon_on_cancel or scope._parent_scope is None:
+                    worker_scope = scope
+                else:
+                    worker_scope = scope._parent_scope
+
+                worker.queue.put_nowait((context, func, args, future, worker_scope))
+                return await future
+
+    @classmethod
+    def check_cancelled(cls) -> None:
+        scope: CancelScope | None = threadlocals.current_cancel_scope
+        while scope is not None:
+            if scope.cancel_called:
+                raise CancelledError(f"Cancelled by cancel scope {id(scope):x}")
+
+            if scope.shield:
+                return
+
+            scope = scope._parent_scope
+
+    @classmethod
+    def run_async_from_thread(
+        cls,
+        func: Callable[[Unpack[PosArgsT]], Awaitable[T_Retval]],
+        args: tuple[Unpack[PosArgsT]],
+        token: object,
+    ) -> T_Retval:
+        async def task_wrapper(scope: CancelScope) -> T_Retval:
+            __tracebackhide__ = True
+            task = cast(asyncio.Task, current_task())
+            _task_states[task] = TaskState(None, scope)
+            scope._tasks.add(task)
+            try:
+                return await func(*args)
+            except CancelledError as exc:
+                raise concurrent.futures.CancelledError(str(exc)) from None
+            finally:
+                scope._tasks.discard(task)
+
+        loop = cast(AbstractEventLoop, token)
+        context = copy_context()
+        context.run(sniffio.current_async_library_cvar.set, "asyncio")
+        wrapper = task_wrapper(threadlocals.current_cancel_scope)
+        f: concurrent.futures.Future[T_Retval] = context.run(
+            asyncio.run_coroutine_threadsafe, wrapper, loop
+        )
+        return f.result()
+
+    @classmethod
+    def run_sync_from_thread(
+        cls,
+        func: Callable[[Unpack[PosArgsT]], T_Retval],
+        args: tuple[Unpack[PosArgsT]],
+        token: object,
+    ) -> T_Retval:
+        @wraps(func)
+        def wrapper() -> None:
+            try:
+                sniffio.current_async_library_cvar.set("asyncio")
+                f.set_result(func(*args))
+            except BaseException as exc:
+                f.set_exception(exc)
+                if not isinstance(exc, Exception):
+                    raise
+
+        f: concurrent.futures.Future[T_Retval] = Future()
+        loop = cast(AbstractEventLoop, token)
+        loop.call_soon_threadsafe(wrapper)
+        return f.result()
+
+    @classmethod
+    def create_blocking_portal(cls) -> abc.BlockingPortal:
+        return BlockingPortal()
+
+    @classmethod
+    async def open_process(
+        cls,
+        command: StrOrBytesPath | Sequence[StrOrBytesPath],
+        *,
+        stdin: int | IO[Any] | None,
+        stdout: int | IO[Any] | None,
+        stderr: int | IO[Any] | None,
+        **kwargs: Any,
+    ) -> Process:
+        await cls.checkpoint()
+        if isinstance(command, PathLike):
+            command = os.fspath(command)
+
+        if isinstance(command, (str, bytes)):
+            process = await asyncio.create_subprocess_shell(
+                command,
+                stdin=stdin,
+                stdout=stdout,
+                stderr=stderr,
+                **kwargs,
+            )
+        else:
+            process = await asyncio.create_subprocess_exec(
+                *command,
+                stdin=stdin,
+                stdout=stdout,
+                stderr=stderr,
+                **kwargs,
+            )
+
+        stdin_stream = StreamWriterWrapper(process.stdin) if process.stdin else None
+        stdout_stream = StreamReaderWrapper(process.stdout) if process.stdout else None
+        stderr_stream = StreamReaderWrapper(process.stderr) if process.stderr else None
+        return Process(process, stdin_stream, stdout_stream, stderr_stream)
+
+    @classmethod
+    def setup_process_pool_exit_at_shutdown(cls, workers: set[abc.Process]) -> None:
+        create_task(
+            _shutdown_process_pool_on_exit(workers),
+            name="AnyIO process pool shutdown task",
+        )
+        find_root_task().add_done_callback(
+            partial(_forcibly_shutdown_process_pool_on_exit, workers)  # type:ignore[arg-type]
+        )
+
+    @classmethod
+    async def connect_tcp(
+        cls, host: str, port: int, local_address: IPSockAddrType | None = None
+    ) -> abc.SocketStream:
+        transport, protocol = cast(
+            tuple[asyncio.Transport, StreamProtocol],
+            await get_running_loop().create_connection(
+                StreamProtocol, host, port, local_addr=local_address
+            ),
+        )
+        transport.pause_reading()
+        return SocketStream(transport, protocol)
+
+    @classmethod
+    async def connect_unix(cls, path: str | bytes) -> abc.UNIXSocketStream:
+        await cls.checkpoint()
+        loop = get_running_loop()
+        raw_socket = socket.socket(socket.AF_UNIX)
+        raw_socket.setblocking(False)
+        while True:
+            try:
+                raw_socket.connect(path)
+            except BlockingIOError:
+                f: asyncio.Future = asyncio.Future()
+                loop.add_writer(raw_socket, f.set_result, None)
+                f.add_done_callback(lambda _: loop.remove_writer(raw_socket))
+                await f
+            except BaseException:
+                raw_socket.close()
+                raise
+            else:
+                return UNIXSocketStream(raw_socket)
+
+    @classmethod
+    def create_tcp_listener(cls, sock: socket.socket) -> SocketListener:
+        return TCPSocketListener(sock)
+
+    @classmethod
+    def create_unix_listener(cls, sock: socket.socket) -> SocketListener:
+        return UNIXSocketListener(sock)
+
+    @classmethod
+    async def create_udp_socket(
+        cls,
+        family: AddressFamily,
+        local_address: IPSockAddrType | None,
+        remote_address: IPSockAddrType | None,
+        reuse_port: bool,
+    ) -> UDPSocket | ConnectedUDPSocket:
+        transport, protocol = await get_running_loop().create_datagram_endpoint(
+            DatagramProtocol,
+            local_addr=local_address,
+            remote_addr=remote_address,
+            family=family,
+            reuse_port=reuse_port,
+        )
+        if protocol.exception:
+            transport.close()
+            raise protocol.exception
+
+        if not remote_address:
+            return UDPSocket(transport, protocol)
+        else:
+            return ConnectedUDPSocket(transport, protocol)
+
+    @classmethod
+    async def create_unix_datagram_socket(  # type: ignore[override]
+        cls, raw_socket: socket.socket, remote_path: str | bytes | None
+    ) -> abc.UNIXDatagramSocket | abc.ConnectedUNIXDatagramSocket:
+        await cls.checkpoint()
+        loop = get_running_loop()
+
+        if remote_path:
+            while True:
+                try:
+                    raw_socket.connect(remote_path)
+                except BlockingIOError:
+                    f: asyncio.Future = asyncio.Future()
+                    loop.add_writer(raw_socket, f.set_result, None)
+                    f.add_done_callback(lambda _: loop.remove_writer(raw_socket))
+                    await f
+                except BaseException:
+                    raw_socket.close()
+                    raise
+                else:
+                    return ConnectedUNIXDatagramSocket(raw_socket)
+        else:
+            return UNIXDatagramSocket(raw_socket)
+
+    @classmethod
+    async def getaddrinfo(
+        cls,
+        host: bytes | str | None,
+        port: str | int | None,
+        *,
+        family: int | AddressFamily = 0,
+        type: int | SocketKind = 0,
+        proto: int = 0,
+        flags: int = 0,
+    ) -> list[
+        tuple[
+            AddressFamily,
+            SocketKind,
+            int,
+            str,
+            tuple[str, int] | tuple[str, int, int, int],
+        ]
+    ]:
+        return await get_running_loop().getaddrinfo(
+            host, port, family=family, type=type, proto=proto, flags=flags
+        )
+
+    @classmethod
+    async def getnameinfo(
+        cls, sockaddr: IPSockAddrType, flags: int = 0
+    ) -> tuple[str, str]:
+        return await get_running_loop().getnameinfo(sockaddr, flags)
+
+    @classmethod
+    async def wait_readable(cls, obj: FileDescriptorLike) -> None:
+        await cls.checkpoint()
+        try:
+            read_events = _read_events.get()
+        except LookupError:
+            read_events = {}
+            _read_events.set(read_events)
+
+        if not isinstance(obj, int):
+            obj = obj.fileno()
+
+        if read_events.get(obj):
+            raise BusyResourceError("reading from")
+
+        loop = get_running_loop()
+        event = asyncio.Event()
+        try:
+            loop.add_reader(obj, event.set)
+        except NotImplementedError:
+            from anyio._core._asyncio_selector_thread import get_selector
+
+            selector = get_selector()
+            selector.add_reader(obj, event.set)
+            remove_reader = selector.remove_reader
+        else:
+            remove_reader = loop.remove_reader
+
+        read_events[obj] = event
+        try:
+            await event.wait()
+        finally:
+            remove_reader(obj)
+            del read_events[obj]
+
+    @classmethod
+    async def wait_writable(cls, obj: FileDescriptorLike) -> None:
+        await cls.checkpoint()
+        try:
+            write_events = _write_events.get()
+        except LookupError:
+            write_events = {}
+            _write_events.set(write_events)
+
+        if not isinstance(obj, int):
+            obj = obj.fileno()
+
+        if write_events.get(obj):
+            raise BusyResourceError("writing to")
+
+        loop = get_running_loop()
+        event = asyncio.Event()
+        try:
+            loop.add_writer(obj, event.set)
+        except NotImplementedError:
+            from anyio._core._asyncio_selector_thread import get_selector
+
+            selector = get_selector()
+            selector.add_writer(obj, event.set)
+            remove_writer = selector.remove_writer
+        else:
+            remove_writer = loop.remove_writer
+
+        write_events[obj] = event
+        try:
+            await event.wait()
+        finally:
+            del write_events[obj]
+            remove_writer(obj)
+
+    @classmethod
+    def current_default_thread_limiter(cls) -> CapacityLimiter:
+        try:
+            return _default_thread_limiter.get()
+        except LookupError:
+            limiter = CapacityLimiter(40)
+            _default_thread_limiter.set(limiter)
+            return limiter
+
+    @classmethod
+    def open_signal_receiver(
+        cls, *signals: Signals
+    ) -> AbstractContextManager[AsyncIterator[Signals]]:
+        return _SignalReceiver(signals)
+
+    @classmethod
+    def get_current_task(cls) -> TaskInfo:
+        return AsyncIOTaskInfo(current_task())  # type: ignore[arg-type]
+
+    @classmethod
+    def get_running_tasks(cls) -> Sequence[TaskInfo]:
+        return [AsyncIOTaskInfo(task) for task in all_tasks() if not task.done()]
+
+    @classmethod
+    async def wait_all_tasks_blocked(cls) -> None:
+        await cls.checkpoint()
+        this_task = current_task()
+        while True:
+            for task in all_tasks():
+                if task is this_task:
+                    continue
+
+                waiter = task._fut_waiter  # type: ignore[attr-defined]
+                if waiter is None or waiter.done():
+                    await sleep(0.1)
+                    break
+            else:
+                return
+
+    @classmethod
+    def create_test_runner(cls, options: dict[str, Any]) -> TestRunner:
+        return TestRunner(**options)
+
+
+backend_class = AsyncIOBackend

vllm/lib/python3.10/site-packages/anyio/_backends/_trio.py

@@ -0,0 +1,1334 @@
+from __future__ import annotations
+
+import array
+import math
+import os
+import socket
+import sys
+import types
+import weakref
+from collections.abc import (
+    AsyncGenerator,
+    AsyncIterator,
+    Awaitable,
+    Callable,
+    Collection,
+    Coroutine,
+    Iterable,
+    Sequence,
+)
+from concurrent.futures import Future
+from contextlib import AbstractContextManager
+from dataclasses import dataclass
+from functools import partial
+from io import IOBase
+from os import PathLike
+from signal import Signals
+from socket import AddressFamily, SocketKind
+from types import TracebackType
+from typing import (
+    IO,
+    TYPE_CHECKING,
+    Any,
+    Generic,
+    NoReturn,
+    TypeVar,
+    cast,
+    overload,
+)
+
+import trio.from_thread
+import trio.lowlevel
+from outcome import Error, Outcome, Value
+from trio.lowlevel import (
+    current_root_task,
+    current_task,
+    wait_readable,
+    wait_writable,
+)
+from trio.socket import SocketType as TrioSocketType
+from trio.to_thread import run_sync
+
+from .. import (
+    CapacityLimiterStatistics,
+    EventStatistics,
+    LockStatistics,
+    TaskInfo,
+    WouldBlock,
+    abc,
+)
+from .._core._eventloop import claim_worker_thread
+from .._core._exceptions import (
+    BrokenResourceError,
+    BusyResourceError,
+    ClosedResourceError,
+    EndOfStream,
+)
+from .._core._sockets import convert_ipv6_sockaddr
+from .._core._streams import create_memory_object_stream
+from .._core._synchronization import (
+    CapacityLimiter as BaseCapacityLimiter,
+)
+from .._core._synchronization import Event as BaseEvent
+from .._core._synchronization import Lock as BaseLock
+from .._core._synchronization import (
+    ResourceGuard,
+    SemaphoreStatistics,
+)
+from .._core._synchronization import Semaphore as BaseSemaphore
+from .._core._tasks import CancelScope as BaseCancelScope
+from ..abc import IPSockAddrType, UDPPacketType, UNIXDatagramPacketType
+from ..abc._eventloop import AsyncBackend, StrOrBytesPath
+from ..streams.memory import MemoryObjectSendStream
+
+if TYPE_CHECKING:
+    from _typeshed import HasFileno
+
+if sys.version_info >= (3, 10):
+    from typing import ParamSpec
+else:
+    from typing_extensions import ParamSpec
+
+if sys.version_info >= (3, 11):
+    from typing import TypeVarTuple, Unpack
+else:
+    from exceptiongroup import BaseExceptionGroup
+    from typing_extensions import TypeVarTuple, Unpack
+
+T = TypeVar("T")
+T_Retval = TypeVar("T_Retval")
+T_SockAddr = TypeVar("T_SockAddr", str, IPSockAddrType)
+PosArgsT = TypeVarTuple("PosArgsT")
+P = ParamSpec("P")
+
+
+#
+# Event loop
+#
+
+RunVar = trio.lowlevel.RunVar
+
+
+#
+# Timeouts and cancellation
+#
+
+
+class CancelScope(BaseCancelScope):
+    def __new__(
+        cls, original: trio.CancelScope | None = None, **kwargs: object
+    ) -> CancelScope:
+        return object.__new__(cls)
+
+    def __init__(self, original: trio.CancelScope | None = None, **kwargs: Any) -> None:
+        self.__original = original or trio.CancelScope(**kwargs)
+
+    def __enter__(self) -> CancelScope:
+        self.__original.__enter__()
+        return self
+
+    def __exit__(
+        self,
+        exc_type: type[BaseException] | None,
+        exc_val: BaseException | None,
+        exc_tb: TracebackType | None,
+    ) -> bool | None:
+        # https://github.com/python-trio/trio-typing/pull/79
+        return self.__original.__exit__(exc_type, exc_val, exc_tb)
+
+    def cancel(self) -> None:
+        self.__original.cancel()
+
+    @property
+    def deadline(self) -> float:
+        return self.__original.deadline
+
+    @deadline.setter
+    def deadline(self, value: float) -> None:
+        self.__original.deadline = value
+
+    @property
+    def cancel_called(self) -> bool:
+        return self.__original.cancel_called
+
+    @property
+    def cancelled_caught(self) -> bool:
+        return self.__original.cancelled_caught
+
+    @property
+    def shield(self) -> bool:
+        return self.__original.shield
+
+    @shield.setter
+    def shield(self, value: bool) -> None:
+        self.__original.shield = value
+
+
+#
+# Task groups
+#
+
+
+class TaskGroup(abc.TaskGroup):
+    def __init__(self) -> None:
+        self._active = False
+        self._nursery_manager = trio.open_nursery(strict_exception_groups=True)
+        self.cancel_scope = None  # type: ignore[assignment]
+
+    async def __aenter__(self) -> TaskGroup:
+        self._active = True
+        self._nursery = await self._nursery_manager.__aenter__()
+        self.cancel_scope = CancelScope(self._nursery.cancel_scope)
+        return self
+
+    async def __aexit__(
+        self,
+        exc_type: type[BaseException] | None,
+        exc_val: BaseException | None,
+        exc_tb: TracebackType | None,
+    ) -> bool | None:
+        try:
+            return await self._nursery_manager.__aexit__(exc_type, exc_val, exc_tb)
+        except BaseExceptionGroup as exc:
+            if not exc.split(trio.Cancelled)[1]:
+                raise trio.Cancelled._create() from exc
+
+            raise
+        finally:
+            del exc_val, exc_tb
+            self._active = False
+
+    def start_soon(
+        self,
+        func: Callable[[Unpack[PosArgsT]], Awaitable[Any]],
+        *args: Unpack[PosArgsT],
+        name: object = None,
+    ) -> None:
+        if not self._active:
+            raise RuntimeError(
+                "This task group is not active; no new tasks can be started."
+            )
+
+        self._nursery.start_soon(func, *args, name=name)
+
+    async def start(
+        self, func: Callable[..., Awaitable[Any]], *args: object, name: object = None
+    ) -> Any:
+        if not self._active:
+            raise RuntimeError(
+                "This task group is not active; no new tasks can be started."
+            )
+
+        return await self._nursery.start(func, *args, name=name)
+
+
+#
+# Threads
+#
+
+
+class BlockingPortal(abc.BlockingPortal):
+    def __new__(cls) -> BlockingPortal:
+        return object.__new__(cls)
+
+    def __init__(self) -> None:
+        super().__init__()
+        self._token = trio.lowlevel.current_trio_token()
+
+    def _spawn_task_from_thread(
+        self,
+        func: Callable[[Unpack[PosArgsT]], Awaitable[T_Retval] | T_Retval],
+        args: tuple[Unpack[PosArgsT]],
+        kwargs: dict[str, Any],
+        name: object,
+        future: Future[T_Retval],
+    ) -> None:
+        trio.from_thread.run_sync(
+            partial(self._task_group.start_soon, name=name),
+            self._call_func,
+            func,
+            args,
+            kwargs,
+            future,
+            trio_token=self._token,
+        )
+
+
+#
+# Subprocesses
+#
+
+
+@dataclass(eq=False)
+class ReceiveStreamWrapper(abc.ByteReceiveStream):
+    _stream: trio.abc.ReceiveStream
+
+    async def receive(self, max_bytes: int | None = None) -> bytes:
+        try:
+            data = await self._stream.receive_some(max_bytes)
+        except trio.ClosedResourceError as exc:
+            raise ClosedResourceError from exc.__cause__
+        except trio.BrokenResourceError as exc:
+            raise BrokenResourceError from exc.__cause__
+
+        if data:
+            return data
+        else:
+            raise EndOfStream
+
+    async def aclose(self) -> None:
+        await self._stream.aclose()
+
+
+@dataclass(eq=False)
+class SendStreamWrapper(abc.ByteSendStream):
+    _stream: trio.abc.SendStream
+
+    async def send(self, item: bytes) -> None:
+        try:
+            await self._stream.send_all(item)
+        except trio.ClosedResourceError as exc:
+            raise ClosedResourceError from exc.__cause__
+        except trio.BrokenResourceError as exc:
+            raise BrokenResourceError from exc.__cause__
+
+    async def aclose(self) -> None:
+        await self._stream.aclose()
+
+
+@dataclass(eq=False)
+class Process(abc.Process):
+    _process: trio.Process
+    _stdin: abc.ByteSendStream | None
+    _stdout: abc.ByteReceiveStream | None
+    _stderr: abc.ByteReceiveStream | None
+
+    async def aclose(self) -> None:
+        with CancelScope(shield=True):
+            if self._stdin:
+                await self._stdin.aclose()
+            if self._stdout:
+                await self._stdout.aclose()
+            if self._stderr:
+                await self._stderr.aclose()
+
+        try:
+            await self.wait()
+        except BaseException:
+            self.kill()
+            with CancelScope(shield=True):
+                await self.wait()
+            raise
+
+    async def wait(self) -> int:
+        return await self._process.wait()
+
+    def terminate(self) -> None:
+        self._process.terminate()
+
+    def kill(self) -> None:
+        self._process.kill()
+
+    def send_signal(self, signal: Signals) -> None:
+        self._process.send_signal(signal)
+
+    @property
+    def pid(self) -> int:
+        return self._process.pid
+
+    @property
+    def returncode(self) -> int | None:
+        return self._process.returncode
+
+    @property
+    def stdin(self) -> abc.ByteSendStream | None:
+        return self._stdin
+
+    @property
+    def stdout(self) -> abc.ByteReceiveStream | None:
+        return self._stdout
+
+    @property
+    def stderr(self) -> abc.ByteReceiveStream | None:
+        return self._stderr
+
+
+class _ProcessPoolShutdownInstrument(trio.abc.Instrument):
+    def after_run(self) -> None:
+        super().after_run()
+
+
+current_default_worker_process_limiter: trio.lowlevel.RunVar = RunVar(
+    "current_default_worker_process_limiter"
+)
+
+
+async def _shutdown_process_pool(workers: set[abc.Process]) -> None:
+    try:
+        await trio.sleep(math.inf)
+    except trio.Cancelled:
+        for process in workers:
+            if process.returncode is None:
+                process.kill()
+
+        with CancelScope(shield=True):
+            for process in workers:
+                await process.aclose()
+
+
+#
+# Sockets and networking
+#
+
+
+class _TrioSocketMixin(Generic[T_SockAddr]):
+    def __init__(self, trio_socket: TrioSocketType) -> None:
+        self._trio_socket = trio_socket
+        self._closed = False
+
+    def _check_closed(self) -> None:
+        if self._closed:
+            raise ClosedResourceError
+        if self._trio_socket.fileno() < 0:
+            raise BrokenResourceError
+
+    @property
+    def _raw_socket(self) -> socket.socket:
+        return self._trio_socket._sock  # type: ignore[attr-defined]
+
+    async def aclose(self) -> None:
+        if self._trio_socket.fileno() >= 0:
+            self._closed = True
+            self._trio_socket.close()
+
+    def _convert_socket_error(self, exc: BaseException) -> NoReturn:
+        if isinstance(exc, trio.ClosedResourceError):
+            raise ClosedResourceError from exc
+        elif self._trio_socket.fileno() < 0 and self._closed:
+            raise ClosedResourceError from None
+        elif isinstance(exc, OSError):
+            raise BrokenResourceError from exc
+        else:
+            raise exc
+
+
+class SocketStream(_TrioSocketMixin, abc.SocketStream):
+    def __init__(self, trio_socket: TrioSocketType) -> None:
+        super().__init__(trio_socket)
+        self._receive_guard = ResourceGuard("reading from")
+        self._send_guard = ResourceGuard("writing to")
+
+    async def receive(self, max_bytes: int = 65536) -> bytes:
+        with self._receive_guard:
+            try:
+                data = await self._trio_socket.recv(max_bytes)
+            except BaseException as exc:
+                self._convert_socket_error(exc)
+
+            if data:
+                return data
+            else:
+                raise EndOfStream
+
+    async def send(self, item: bytes) -> None:
+        with self._send_guard:
+            view = memoryview(item)
+            while view:
+                try:
+                    bytes_sent = await self._trio_socket.send(view)
+                except BaseException as exc:
+                    self._convert_socket_error(exc)
+
+                view = view[bytes_sent:]
+
+    async def send_eof(self) -> None:
+        self._trio_socket.shutdown(socket.SHUT_WR)
+
+
+class UNIXSocketStream(SocketStream, abc.UNIXSocketStream):
+    async def receive_fds(self, msglen: int, maxfds: int) -> tuple[bytes, list[int]]:
+        if not isinstance(msglen, int) or msglen < 0:
+            raise ValueError("msglen must be a non-negative integer")
+        if not isinstance(maxfds, int) or maxfds < 1:
+            raise ValueError("maxfds must be a positive integer")
+
+        fds = array.array("i")
+        await trio.lowlevel.checkpoint()
+        with self._receive_guard:
+            while True:
+                try:
+                    message, ancdata, flags, addr = await self._trio_socket.recvmsg(
+                        msglen, socket.CMSG_LEN(maxfds * fds.itemsize)
+                    )
+                except BaseException as exc:
+                    self._convert_socket_error(exc)
+                else:
+                    if not message and not ancdata:
+                        raise EndOfStream
+
+                    break
+
+        for cmsg_level, cmsg_type, cmsg_data in ancdata:
+            if cmsg_level != socket.SOL_SOCKET or cmsg_type != socket.SCM_RIGHTS:
+                raise RuntimeError(
+                    f"Received unexpected ancillary data; message = {message!r}, "
+                    f"cmsg_level = {cmsg_level}, cmsg_type = {cmsg_type}"
+                )
+
+            fds.frombytes(cmsg_data[: len(cmsg_data) - (len(cmsg_data) % fds.itemsize)])
+
+        return message, list(fds)
+
+    async def send_fds(self, message: bytes, fds: Collection[int | IOBase]) -> None:
+        if not message:
+            raise ValueError("message must not be empty")
+        if not fds:
+            raise ValueError("fds must not be empty")
+
+        filenos: list[int] = []
+        for fd in fds:
+            if isinstance(fd, int):
+                filenos.append(fd)
+            elif isinstance(fd, IOBase):
+                filenos.append(fd.fileno())
+
+        fdarray = array.array("i", filenos)
+        await trio.lowlevel.checkpoint()
+        with self._send_guard:
+            while True:
+                try:
+                    await self._trio_socket.sendmsg(
+                        [message],
+                        [
+                            (
+                                socket.SOL_SOCKET,
+                                socket.SCM_RIGHTS,
+                                fdarray,
+                            )
+                        ],
+                    )
+                    break
+                except BaseException as exc:
+                    self._convert_socket_error(exc)
+
+
+class TCPSocketListener(_TrioSocketMixin, abc.SocketListener):
+    def __init__(self, raw_socket: socket.socket):
+        super().__init__(trio.socket.from_stdlib_socket(raw_socket))
+        self._accept_guard = ResourceGuard("accepting connections from")
+
+    async def accept(self) -> SocketStream:
+        with self._accept_guard:
+            try:
+                trio_socket, _addr = await self._trio_socket.accept()
+            except BaseException as exc:
+                self._convert_socket_error(exc)
+
+        trio_socket.setsockopt(socket.IPPROTO_TCP, socket.TCP_NODELAY, 1)
+        return SocketStream(trio_socket)
+
+
+class UNIXSocketListener(_TrioSocketMixin, abc.SocketListener):
+    def __init__(self, raw_socket: socket.socket):
+        super().__init__(trio.socket.from_stdlib_socket(raw_socket))
+        self._accept_guard = ResourceGuard("accepting connections from")
+
+    async def accept(self) -> UNIXSocketStream:
+        with self._accept_guard:
+            try:
+                trio_socket, _addr = await self._trio_socket.accept()
+            except BaseException as exc:
+                self._convert_socket_error(exc)
+
+        return UNIXSocketStream(trio_socket)
+
+
+class UDPSocket(_TrioSocketMixin[IPSockAddrType], abc.UDPSocket):
+    def __init__(self, trio_socket: TrioSocketType) -> None:
+        super().__init__(trio_socket)
+        self._receive_guard = ResourceGuard("reading from")
+        self._send_guard = ResourceGuard("writing to")
+
+    async def receive(self) -> tuple[bytes, IPSockAddrType]:
+        with self._receive_guard:
+            try:
+                data, addr = await self._trio_socket.recvfrom(65536)
+                return data, convert_ipv6_sockaddr(addr)
+            except BaseException as exc:
+                self._convert_socket_error(exc)
+
+    async def send(self, item: UDPPacketType) -> None:
+        with self._send_guard:
+            try:
+                await self._trio_socket.sendto(*item)
+            except BaseException as exc:
+                self._convert_socket_error(exc)
+
+
+class ConnectedUDPSocket(_TrioSocketMixin[IPSockAddrType], abc.ConnectedUDPSocket):
+    def __init__(self, trio_socket: TrioSocketType) -> None:
+        super().__init__(trio_socket)
+        self._receive_guard = ResourceGuard("reading from")
+        self._send_guard = ResourceGuard("writing to")
+
+    async def receive(self) -> bytes:
+        with self._receive_guard:
+            try:
+                return await self._trio_socket.recv(65536)
+            except BaseException as exc:
+                self._convert_socket_error(exc)
+
+    async def send(self, item: bytes) -> None:
+        with self._send_guard:
+            try:
+                await self._trio_socket.send(item)
+            except BaseException as exc:
+                self._convert_socket_error(exc)
+
+
+class UNIXDatagramSocket(_TrioSocketMixin[str], abc.UNIXDatagramSocket):
+    def __init__(self, trio_socket: TrioSocketType) -> None:
+        super().__init__(trio_socket)
+        self._receive_guard = ResourceGuard("reading from")
+        self._send_guard = ResourceGuard("writing to")
+
+    async def receive(self) -> UNIXDatagramPacketType:
+        with self._receive_guard:
+            try:
+                data, addr = await self._trio_socket.recvfrom(65536)
+                return data, addr
+            except BaseException as exc:
+                self._convert_socket_error(exc)
+
+    async def send(self, item: UNIXDatagramPacketType) -> None:
+        with self._send_guard:
+            try:
+                await self._trio_socket.sendto(*item)
+            except BaseException as exc:
+                self._convert_socket_error(exc)
+
+
+class ConnectedUNIXDatagramSocket(
+    _TrioSocketMixin[str], abc.ConnectedUNIXDatagramSocket
+):
+    def __init__(self, trio_socket: TrioSocketType) -> None:
+        super().__init__(trio_socket)
+        self._receive_guard = ResourceGuard("reading from")
+        self._send_guard = ResourceGuard("writing to")
+
+    async def receive(self) -> bytes:
+        with self._receive_guard:
+            try:
+                return await self._trio_socket.recv(65536)
+            except BaseException as exc:
+                self._convert_socket_error(exc)
+
+    async def send(self, item: bytes) -> None:
+        with self._send_guard:
+            try:
+                await self._trio_socket.send(item)
+            except BaseException as exc:
+                self._convert_socket_error(exc)
+
+
+#
+# Synchronization
+#
+
+
+class Event(BaseEvent):
+    def __new__(cls) -> Event:
+        return object.__new__(cls)
+
+    def __init__(self) -> None:
+        self.__original = trio.Event()
+
+    def is_set(self) -> bool:
+        return self.__original.is_set()
+
+    async def wait(self) -> None:
+        return await self.__original.wait()
+
+    def statistics(self) -> EventStatistics:
+        orig_statistics = self.__original.statistics()
+        return EventStatistics(tasks_waiting=orig_statistics.tasks_waiting)
+
+    def set(self) -> None:
+        self.__original.set()
+
+
+class Lock(BaseLock):
+    def __new__(cls, *, fast_acquire: bool = False) -> Lock:
+        return object.__new__(cls)
+
+    def __init__(self, *, fast_acquire: bool = False) -> None:
+        self._fast_acquire = fast_acquire
+        self.__original = trio.Lock()
+
+    @staticmethod
+    def _convert_runtime_error_msg(exc: RuntimeError) -> None:
+        if exc.args == ("attempt to re-acquire an already held Lock",):
+            exc.args = ("Attempted to acquire an already held Lock",)
+
+    async def acquire(self) -> None:
+        if not self._fast_acquire:
+            try:
+                await self.__original.acquire()
+            except RuntimeError as exc:
+                self._convert_runtime_error_msg(exc)
+                raise
+
+            return
+
+        # This is the "fast path" where we don't let other tasks run
+        await trio.lowlevel.checkpoint_if_cancelled()
+        try:
+            self.__original.acquire_nowait()
+        except trio.WouldBlock:
+            await self.__original._lot.park()
+        except RuntimeError as exc:
+            self._convert_runtime_error_msg(exc)
+            raise
+
+    def acquire_nowait(self) -> None:
+        try:
+            self.__original.acquire_nowait()
+        except trio.WouldBlock:
+            raise WouldBlock from None
+        except RuntimeError as exc:
+            self._convert_runtime_error_msg(exc)
+            raise
+
+    def locked(self) -> bool:
+        return self.__original.locked()
+
+    def release(self) -> None:
+        self.__original.release()
+
+    def statistics(self) -> LockStatistics:
+        orig_statistics = self.__original.statistics()
+        owner = TrioTaskInfo(orig_statistics.owner) if orig_statistics.owner else None
+        return LockStatistics(
+            orig_statistics.locked, owner, orig_statistics.tasks_waiting
+        )
+
+
+class Semaphore(BaseSemaphore):
+    def __new__(
+        cls,
+        initial_value: int,
+        *,
+        max_value: int | None = None,
+        fast_acquire: bool = False,
+    ) -> Semaphore:
+        return object.__new__(cls)
+
+    def __init__(
+        self,
+        initial_value: int,
+        *,
+        max_value: int | None = None,
+        fast_acquire: bool = False,
+    ) -> None:
+        super().__init__(initial_value, max_value=max_value, fast_acquire=fast_acquire)
+        self.__original = trio.Semaphore(initial_value, max_value=max_value)
+
+    async def acquire(self) -> None:
+        if not self._fast_acquire:
+            await self.__original.acquire()
+            return
+
+        # This is the "fast path" where we don't let other tasks run
+        await trio.lowlevel.checkpoint_if_cancelled()
+        try:
+            self.__original.acquire_nowait()
+        except trio.WouldBlock:
+            await self.__original._lot.park()
+
+    def acquire_nowait(self) -> None:
+        try:
+            self.__original.acquire_nowait()
+        except trio.WouldBlock:
+            raise WouldBlock from None
+
+    @property
+    def max_value(self) -> int | None:
+        return self.__original.max_value
+
+    @property
+    def value(self) -> int:
+        return self.__original.value
+
+    def release(self) -> None:
+        self.__original.release()
+
+    def statistics(self) -> SemaphoreStatistics:
+        orig_statistics = self.__original.statistics()
+        return SemaphoreStatistics(orig_statistics.tasks_waiting)
+
+
+class CapacityLimiter(BaseCapacityLimiter):
+    def __new__(
+        cls,
+        total_tokens: float | None = None,
+        *,
+        original: trio.CapacityLimiter | None = None,
+    ) -> CapacityLimiter:
+        return object.__new__(cls)
+
+    def __init__(
+        self,
+        total_tokens: float | None = None,
+        *,
+        original: trio.CapacityLimiter | None = None,
+    ) -> None:
+        if original is not None:
+            self.__original = original
+        else:
+            assert total_tokens is not None
+            self.__original = trio.CapacityLimiter(total_tokens)
+
+    async def __aenter__(self) -> None:
+        return await self.__original.__aenter__()
+
+    async def __aexit__(
+        self,
+        exc_type: type[BaseException] | None,
+        exc_val: BaseException | None,
+        exc_tb: TracebackType | None,
+    ) -> None:
+        await self.__original.__aexit__(exc_type, exc_val, exc_tb)
+
+    @property
+    def total_tokens(self) -> float:
+        return self.__original.total_tokens
+
+    @total_tokens.setter
+    def total_tokens(self, value: float) -> None:
+        self.__original.total_tokens = value
+
+    @property
+    def borrowed_tokens(self) -> int:
+        return self.__original.borrowed_tokens
+
+    @property
+    def available_tokens(self) -> float:
+        return self.__original.available_tokens
+
+    def acquire_nowait(self) -> None:
+        self.__original.acquire_nowait()
+
+    def acquire_on_behalf_of_nowait(self, borrower: object) -> None:
+        self.__original.acquire_on_behalf_of_nowait(borrower)
+
+    async def acquire(self) -> None:
+        await self.__original.acquire()
+
+    async def acquire_on_behalf_of(self, borrower: object) -> None:
+        await self.__original.acquire_on_behalf_of(borrower)
+
+    def release(self) -> None:
+        return self.__original.release()
+
+    def release_on_behalf_of(self, borrower: object) -> None:
+        return self.__original.release_on_behalf_of(borrower)
+
+    def statistics(self) -> CapacityLimiterStatistics:
+        orig = self.__original.statistics()
+        return CapacityLimiterStatistics(
+            borrowed_tokens=orig.borrowed_tokens,
+            total_tokens=orig.total_tokens,
+            borrowers=tuple(orig.borrowers),
+            tasks_waiting=orig.tasks_waiting,
+        )
+
+
+_capacity_limiter_wrapper: trio.lowlevel.RunVar = RunVar("_capacity_limiter_wrapper")
+
+
+#
+# Signal handling
+#
+
+
+class _SignalReceiver:
+    _iterator: AsyncIterator[int]
+
+    def __init__(self, signals: tuple[Signals, ...]):
+        self._signals = signals
+
+    def __enter__(self) -> _SignalReceiver:
+        self._cm = trio.open_signal_receiver(*self._signals)
+        self._iterator = self._cm.__enter__()
+        return self
+
+    def __exit__(
+        self,
+        exc_type: type[BaseException] | None,
+        exc_val: BaseException | None,
+        exc_tb: TracebackType | None,
+    ) -> bool | None:
+        return self._cm.__exit__(exc_type, exc_val, exc_tb)
+
+    def __aiter__(self) -> _SignalReceiver:
+        return self
+
+    async def __anext__(self) -> Signals:
+        signum = await self._iterator.__anext__()
+        return Signals(signum)
+
+
+#
+# Testing and debugging
+#
+
+
+class TestRunner(abc.TestRunner):
+    def __init__(self, **options: Any) -> None:
+        from queue import Queue
+
+        self._call_queue: Queue[Callable[[], object]] = Queue()
+        self._send_stream: MemoryObjectSendStream | None = None
+        self._options = options
+
+    def __exit__(
+        self,
+        exc_type: type[BaseException] | None,
+        exc_val: BaseException | None,
+        exc_tb: types.TracebackType | None,
+    ) -> None:
+        if self._send_stream:
+            self._send_stream.close()
+            while self._send_stream is not None:
+                self._call_queue.get()()
+
+    async def _run_tests_and_fixtures(self) -> None:
+        self._send_stream, receive_stream = create_memory_object_stream(1)
+        with receive_stream:
+            async for coro, outcome_holder in receive_stream:
+                try:
+                    retval = await coro
+                except BaseException as exc:
+                    outcome_holder.append(Error(exc))
+                else:
+                    outcome_holder.append(Value(retval))
+
+    def _main_task_finished(self, outcome: object) -> None:
+        self._send_stream = None
+
+    def _call_in_runner_task(
+        self,
+        func: Callable[P, Awaitable[T_Retval]],
+        *args: P.args,
+        **kwargs: P.kwargs,
+    ) -> T_Retval:
+        if self._send_stream is None:
+            trio.lowlevel.start_guest_run(
+                self._run_tests_and_fixtures,
+                run_sync_soon_threadsafe=self._call_queue.put,
+                done_callback=self._main_task_finished,
+                **self._options,
+            )
+            while self._send_stream is None:
+                self._call_queue.get()()
+
+        outcome_holder: list[Outcome] = []
+        self._send_stream.send_nowait((func(*args, **kwargs), outcome_holder))
+        while not outcome_holder:
+            self._call_queue.get()()
+
+        return outcome_holder[0].unwrap()
+
+    def run_asyncgen_fixture(
+        self,
+        fixture_func: Callable[..., AsyncGenerator[T_Retval, Any]],
+        kwargs: dict[str, Any],
+    ) -> Iterable[T_Retval]:
+        asyncgen = fixture_func(**kwargs)
+        fixturevalue: T_Retval = self._call_in_runner_task(asyncgen.asend, None)
+
+        yield fixturevalue
+
+        try:
+            self._call_in_runner_task(asyncgen.asend, None)
+        except StopAsyncIteration:
+            pass
+        else:
+            self._call_in_runner_task(asyncgen.aclose)
+            raise RuntimeError("Async generator fixture did not stop")
+
+    def run_fixture(
+        self,
+        fixture_func: Callable[..., Coroutine[Any, Any, T_Retval]],
+        kwargs: dict[str, Any],
+    ) -> T_Retval:
+        return self._call_in_runner_task(fixture_func, **kwargs)
+
+    def run_test(
+        self, test_func: Callable[..., Coroutine[Any, Any, Any]], kwargs: dict[str, Any]
+    ) -> None:
+        self._call_in_runner_task(test_func, **kwargs)
+
+
+class TrioTaskInfo(TaskInfo):
+    def __init__(self, task: trio.lowlevel.Task):
+        parent_id = None
+        if task.parent_nursery and task.parent_nursery.parent_task:
+            parent_id = id(task.parent_nursery.parent_task)
+
+        super().__init__(id(task), parent_id, task.name, task.coro)
+        self._task = weakref.proxy(task)
+
+    def has_pending_cancellation(self) -> bool:
+        try:
+            return self._task._cancel_status.effectively_cancelled
+        except ReferenceError:
+            # If the task is no longer around, it surely doesn't have a cancellation
+            # pending
+            return False
+
+
+class TrioBackend(AsyncBackend):
+    @classmethod
+    def run(
+        cls,
+        func: Callable[[Unpack[PosArgsT]], Awaitable[T_Retval]],
+        args: tuple[Unpack[PosArgsT]],
+        kwargs: dict[str, Any],
+        options: dict[str, Any],
+    ) -> T_Retval:
+        return trio.run(func, *args)
+
+    @classmethod
+    def current_token(cls) -> object:
+        return trio.lowlevel.current_trio_token()
+
+    @classmethod
+    def current_time(cls) -> float:
+        return trio.current_time()
+
+    @classmethod
+    def cancelled_exception_class(cls) -> type[BaseException]:
+        return trio.Cancelled
+
+    @classmethod
+    async def checkpoint(cls) -> None:
+        await trio.lowlevel.checkpoint()
+
+    @classmethod
+    async def checkpoint_if_cancelled(cls) -> None:
+        await trio.lowlevel.checkpoint_if_cancelled()
+
+    @classmethod
+    async def cancel_shielded_checkpoint(cls) -> None:
+        await trio.lowlevel.cancel_shielded_checkpoint()
+
+    @classmethod
+    async def sleep(cls, delay: float) -> None:
+        await trio.sleep(delay)
+
+    @classmethod
+    def create_cancel_scope(
+        cls, *, deadline: float = math.inf, shield: bool = False
+    ) -> abc.CancelScope:
+        return CancelScope(deadline=deadline, shield=shield)
+
+    @classmethod
+    def current_effective_deadline(cls) -> float:
+        return trio.current_effective_deadline()
+
+    @classmethod
+    def create_task_group(cls) -> abc.TaskGroup:
+        return TaskGroup()
+
+    @classmethod
+    def create_event(cls) -> abc.Event:
+        return Event()
+
+    @classmethod
+    def create_lock(cls, *, fast_acquire: bool) -> Lock:
+        return Lock(fast_acquire=fast_acquire)
+
+    @classmethod
+    def create_semaphore(
+        cls,
+        initial_value: int,
+        *,
+        max_value: int | None = None,
+        fast_acquire: bool = False,
+    ) -> abc.Semaphore:
+        return Semaphore(initial_value, max_value=max_value, fast_acquire=fast_acquire)
+
+    @classmethod
+    def create_capacity_limiter(cls, total_tokens: float) -> CapacityLimiter:
+        return CapacityLimiter(total_tokens)
+
+    @classmethod
+    async def run_sync_in_worker_thread(
+        cls,
+        func: Callable[[Unpack[PosArgsT]], T_Retval],
+        args: tuple[Unpack[PosArgsT]],
+        abandon_on_cancel: bool = False,
+        limiter: abc.CapacityLimiter | None = None,
+    ) -> T_Retval:
+        def wrapper() -> T_Retval:
+            with claim_worker_thread(TrioBackend, token):
+                return func(*args)
+
+        token = TrioBackend.current_token()
+        return await run_sync(
+            wrapper,
+            abandon_on_cancel=abandon_on_cancel,
+            limiter=cast(trio.CapacityLimiter, limiter),
+        )
+
+    @classmethod
+    def check_cancelled(cls) -> None:
+        trio.from_thread.check_cancelled()
+
+    @classmethod
+    def run_async_from_thread(
+        cls,
+        func: Callable[[Unpack[PosArgsT]], Awaitable[T_Retval]],
+        args: tuple[Unpack[PosArgsT]],
+        token: object,
+    ) -> T_Retval:
+        return trio.from_thread.run(func, *args)
+
+    @classmethod
+    def run_sync_from_thread(
+        cls,
+        func: Callable[[Unpack[PosArgsT]], T_Retval],
+        args: tuple[Unpack[PosArgsT]],
+        token: object,
+    ) -> T_Retval:
+        return trio.from_thread.run_sync(func, *args)
+
+    @classmethod
+    def create_blocking_portal(cls) -> abc.BlockingPortal:
+        return BlockingPortal()
+
+    @classmethod
+    async def open_process(
+        cls,
+        command: StrOrBytesPath | Sequence[StrOrBytesPath],
+        *,
+        stdin: int | IO[Any] | None,
+        stdout: int | IO[Any] | None,
+        stderr: int | IO[Any] | None,
+        **kwargs: Any,
+    ) -> Process:
+        def convert_item(item: StrOrBytesPath) -> str:
+            str_or_bytes = os.fspath(item)
+            if isinstance(str_or_bytes, str):
+                return str_or_bytes
+            else:
+                return os.fsdecode(str_or_bytes)
+
+        if isinstance(command, (str, bytes, PathLike)):
+            process = await trio.lowlevel.open_process(
+                convert_item(command),
+                stdin=stdin,
+                stdout=stdout,
+                stderr=stderr,
+                shell=True,
+                **kwargs,
+            )
+        else:
+            process = await trio.lowlevel.open_process(
+                [convert_item(item) for item in command],
+                stdin=stdin,
+                stdout=stdout,
+                stderr=stderr,
+                shell=False,
+                **kwargs,
+            )
+
+        stdin_stream = SendStreamWrapper(process.stdin) if process.stdin else None
+        stdout_stream = ReceiveStreamWrapper(process.stdout) if process.stdout else None
+        stderr_stream = ReceiveStreamWrapper(process.stderr) if process.stderr else None
+        return Process(process, stdin_stream, stdout_stream, stderr_stream)
+
+    @classmethod
+    def setup_process_pool_exit_at_shutdown(cls, workers: set[abc.Process]) -> None:
+        trio.lowlevel.spawn_system_task(_shutdown_process_pool, workers)
+
+    @classmethod
+    async def connect_tcp(
+        cls, host: str, port: int, local_address: IPSockAddrType | None = None
+    ) -> SocketStream:
+        family = socket.AF_INET6 if ":" in host else socket.AF_INET
+        trio_socket = trio.socket.socket(family)
+        trio_socket.setsockopt(socket.IPPROTO_TCP, socket.TCP_NODELAY, 1)
+        if local_address:
+            await trio_socket.bind(local_address)
+
+        try:
+            await trio_socket.connect((host, port))
+        except BaseException:
+            trio_socket.close()
+            raise
+
+        return SocketStream(trio_socket)
+
+    @classmethod
+    async def connect_unix(cls, path: str | bytes) -> abc.UNIXSocketStream:
+        trio_socket = trio.socket.socket(socket.AF_UNIX)
+        try:
+            await trio_socket.connect(path)
+        except BaseException:
+            trio_socket.close()
+            raise
+
+        return UNIXSocketStream(trio_socket)
+
+    @classmethod
+    def create_tcp_listener(cls, sock: socket.socket) -> abc.SocketListener:
+        return TCPSocketListener(sock)
+
+    @classmethod
+    def create_unix_listener(cls, sock: socket.socket) -> abc.SocketListener:
+        return UNIXSocketListener(sock)
+
+    @classmethod
+    async def create_udp_socket(
+        cls,
+        family: socket.AddressFamily,
+        local_address: IPSockAddrType | None,
+        remote_address: IPSockAddrType | None,
+        reuse_port: bool,
+    ) -> UDPSocket | ConnectedUDPSocket:
+        trio_socket = trio.socket.socket(family=family, type=socket.SOCK_DGRAM)
+
+        if reuse_port:
+            trio_socket.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEPORT, 1)
+
+        if local_address:
+            await trio_socket.bind(local_address)
+
+        if remote_address:
+            await trio_socket.connect(remote_address)
+            return ConnectedUDPSocket(trio_socket)
+        else:
+            return UDPSocket(trio_socket)
+
+    @classmethod
+    @overload
+    async def create_unix_datagram_socket(
+        cls, raw_socket: socket.socket, remote_path: None
+    ) -> abc.UNIXDatagramSocket: ...
+
+    @classmethod
+    @overload
+    async def create_unix_datagram_socket(
+        cls, raw_socket: socket.socket, remote_path: str | bytes
+    ) -> abc.ConnectedUNIXDatagramSocket: ...
+
+    @classmethod
+    async def create_unix_datagram_socket(
+        cls, raw_socket: socket.socket, remote_path: str | bytes | None
+    ) -> abc.UNIXDatagramSocket | abc.ConnectedUNIXDatagramSocket:
+        trio_socket = trio.socket.from_stdlib_socket(raw_socket)
+
+        if remote_path:
+            await trio_socket.connect(remote_path)
+            return ConnectedUNIXDatagramSocket(trio_socket)
+        else:
+            return UNIXDatagramSocket(trio_socket)
+
+    @classmethod
+    async def getaddrinfo(
+        cls,
+        host: bytes | str | None,
+        port: str | int | None,
+        *,
+        family: int | AddressFamily = 0,
+        type: int | SocketKind = 0,
+        proto: int = 0,
+        flags: int = 0,
+    ) -> list[
+        tuple[
+            AddressFamily,
+            SocketKind,
+            int,
+            str,
+            tuple[str, int] | tuple[str, int, int, int],
+        ]
+    ]:
+        return await trio.socket.getaddrinfo(host, port, family, type, proto, flags)
+
+    @classmethod
+    async def getnameinfo(
+        cls, sockaddr: IPSockAddrType, flags: int = 0
+    ) -> tuple[str, str]:
+        return await trio.socket.getnameinfo(sockaddr, flags)
+
+    @classmethod
+    async def wait_readable(cls, obj: HasFileno | int) -> None:
+        try:
+            await wait_readable(obj)
+        except trio.ClosedResourceError as exc:
+            raise ClosedResourceError().with_traceback(exc.__traceback__) from None
+        except trio.BusyResourceError:
+            raise BusyResourceError("reading from") from None
+
+    @classmethod
+    async def wait_writable(cls, obj: HasFileno | int) -> None:
+        try:
+            await wait_writable(obj)
+        except trio.ClosedResourceError as exc:
+            raise ClosedResourceError().with_traceback(exc.__traceback__) from None
+        except trio.BusyResourceError:
+            raise BusyResourceError("writing to") from None
+
+    @classmethod
+    def current_default_thread_limiter(cls) -> CapacityLimiter:
+        try:
+            return _capacity_limiter_wrapper.get()
+        except LookupError:
+            limiter = CapacityLimiter(
+                original=trio.to_thread.current_default_thread_limiter()
+            )
+            _capacity_limiter_wrapper.set(limiter)
+            return limiter
+
+    @classmethod
+    def open_signal_receiver(
+        cls, *signals: Signals
+    ) -> AbstractContextManager[AsyncIterator[Signals]]:
+        return _SignalReceiver(signals)
+
+    @classmethod
+    def get_current_task(cls) -> TaskInfo:
+        task = current_task()
+        return TrioTaskInfo(task)
+
+    @classmethod
+    def get_running_tasks(cls) -> Sequence[TaskInfo]:
+        root_task = current_root_task()
+        assert root_task
+        task_infos = [TrioTaskInfo(root_task)]
+        nurseries = root_task.child_nurseries
+        while nurseries:
+            new_nurseries: list[trio.Nursery] = []
+            for nursery in nurseries:
+                for task in nursery.child_tasks:
+                    task_infos.append(TrioTaskInfo(task))
+                    new_nurseries.extend(task.child_nurseries)
+
+            nurseries = new_nurseries
+
+        return task_infos
+
+    @classmethod
+    async def wait_all_tasks_blocked(cls) -> None:
+        from trio.testing import wait_all_tasks_blocked
+
+        await wait_all_tasks_blocked()
+
+    @classmethod
+    def create_test_runner(cls, options: dict[str, Any]) -> TestRunner:
+        return TestRunner(**options)
+
+
+backend_class = TrioBackend