forked from M-Labs/nalgebra
Move serialization code to submodules
This commit is contained in:
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837ded932e
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647455dadd
@ -2,9 +2,6 @@
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use crate::SparseFormatError;
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#[cfg(feature = "serde-serialize")]
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use serde::{de, Deserialize, Deserializer, Serialize, Serializer};
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/// A COO representation of a sparse matrix.
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///
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/// A COO matrix stores entries in coordinate-form, that is triplets `(i, j, v)`, where `i` and `j`
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@ -278,52 +275,55 @@ impl<T> CooMatrix<T> {
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}
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#[cfg(feature = "serde-serialize")]
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#[derive(Serialize, Deserialize)]
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struct CooMatrixSerializationData<Indices, Values> {
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nrows: usize,
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ncols: usize,
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row_indices: Indices,
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col_indices: Indices,
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values: Values,
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}
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mod serde_serialize {
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use super::CooMatrix;
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use serde::{de, Deserialize, Deserializer, Serialize, Serializer};
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#[cfg(feature = "serde-serialize")]
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impl<T> Serialize for CooMatrix<T>
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where
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T: Serialize + Clone,
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{
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fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error>
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#[derive(Serialize, Deserialize)]
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struct CooMatrixSerializationData<Indices, Values> {
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nrows: usize,
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ncols: usize,
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row_indices: Indices,
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col_indices: Indices,
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values: Values,
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}
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impl<T> Serialize for CooMatrix<T>
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where
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S: Serializer,
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T: Serialize + Clone,
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{
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CooMatrixSerializationData::<&[usize], &[T]> {
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nrows: self.nrows(),
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ncols: self.ncols(),
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row_indices: self.row_indices(),
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col_indices: self.col_indices(),
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values: self.values(),
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fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error>
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where
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S: Serializer,
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{
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CooMatrixSerializationData::<&[usize], &[T]> {
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nrows: self.nrows(),
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ncols: self.ncols(),
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row_indices: self.row_indices(),
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col_indices: self.col_indices(),
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values: self.values(),
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}
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.serialize(serializer)
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}
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.serialize(serializer)
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}
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}
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#[cfg(feature = "serde-serialize")]
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impl<'de, T> Deserialize<'de> for CooMatrix<T>
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where
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T: Deserialize<'de> + Clone,
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{
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fn deserialize<D>(deserializer: D) -> Result<CooMatrix<T>, D::Error>
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impl<'de, T> Deserialize<'de> for CooMatrix<T>
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where
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D: Deserializer<'de>,
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T: Deserialize<'de> + Clone,
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{
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let de = CooMatrixSerializationData::<Vec<usize>, Vec<T>>::deserialize(deserializer)?;
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CooMatrix::try_from_triplets(
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de.nrows,
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de.ncols,
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de.row_indices,
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de.col_indices,
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de.values,
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)
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.map_err(|e| de::Error::custom(e))
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fn deserialize<D>(deserializer: D) -> Result<CooMatrix<T>, D::Error>
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where
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D: Deserializer<'de>,
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{
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let de = CooMatrixSerializationData::<Vec<usize>, Vec<T>>::deserialize(deserializer)?;
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CooMatrix::try_from_triplets(
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de.nrows,
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de.ncols,
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de.row_indices,
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de.col_indices,
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de.values,
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)
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.map_err(|e| de::Error::custom(e))
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}
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}
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}
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@ -10,8 +10,6 @@ use crate::{SparseEntry, SparseEntryMut, SparseFormatError, SparseFormatErrorKin
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use nalgebra::Scalar;
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use num_traits::One;
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#[cfg(feature = "serde-serialize")]
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use serde::{de, Deserialize, Deserializer, Serialize, Serializer};
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use std::slice::{Iter, IterMut};
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/// A CSC representation of a sparse matrix.
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@ -523,53 +521,56 @@ impl<T> CscMatrix<T> {
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}
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#[cfg(feature = "serde-serialize")]
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#[derive(Serialize, Deserialize)]
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struct CscMatrixSerializationData<Indices, Values> {
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nrows: usize,
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ncols: usize,
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col_offsets: Indices,
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row_indices: Indices,
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values: Values,
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}
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mod serde_serialize {
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use super::CscMatrix;
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use serde::{de, Deserialize, Deserializer, Serialize, Serializer};
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#[cfg(feature = "serde-serialize")]
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impl<T> Serialize for CscMatrix<T>
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where
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T: Serialize + Clone,
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{
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fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error>
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where
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S: Serializer,
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{
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CscMatrixSerializationData::<&[usize], &[T]> {
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nrows: self.nrows(),
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ncols: self.ncols(),
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col_offsets: self.col_offsets(),
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row_indices: self.row_indices(),
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values: self.values(),
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}
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.serialize(serializer)
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#[derive(Serialize, Deserialize)]
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struct CscMatrixSerializationData<Indices, Values> {
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nrows: usize,
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ncols: usize,
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col_offsets: Indices,
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row_indices: Indices,
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values: Values,
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}
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}
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#[cfg(feature = "serde-serialize")]
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impl<'de, T> Deserialize<'de> for CscMatrix<T>
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where
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T: Deserialize<'de> + Clone,
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{
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fn deserialize<D>(deserializer: D) -> Result<CscMatrix<T>, D::Error>
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impl<T> Serialize for CscMatrix<T>
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where
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D: Deserializer<'de>,
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T: Serialize + Clone,
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{
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let de = CscMatrixSerializationData::<Vec<usize>, Vec<T>>::deserialize(deserializer)?;
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CscMatrix::try_from_csc_data(
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de.nrows,
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de.ncols,
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de.col_offsets,
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de.row_indices,
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de.values,
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)
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.map_err(|e| de::Error::custom(e))
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fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error>
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where
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S: Serializer,
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{
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CscMatrixSerializationData::<&[usize], &[T]> {
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nrows: self.nrows(),
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ncols: self.ncols(),
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col_offsets: self.col_offsets(),
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row_indices: self.row_indices(),
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values: self.values(),
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}
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.serialize(serializer)
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}
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}
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impl<'de, T> Deserialize<'de> for CscMatrix<T>
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where
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T: Deserialize<'de> + Clone,
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{
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fn deserialize<D>(deserializer: D) -> Result<CscMatrix<T>, D::Error>
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where
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D: Deserializer<'de>,
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{
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let de = CscMatrixSerializationData::<Vec<usize>, Vec<T>>::deserialize(deserializer)?;
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CscMatrix::try_from_csc_data(
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de.nrows,
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de.ncols,
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de.col_offsets,
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de.row_indices,
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de.values,
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)
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.map_err(|e| de::Error::custom(e))
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}
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}
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}
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@ -9,8 +9,6 @@ use crate::{SparseEntry, SparseEntryMut, SparseFormatError, SparseFormatErrorKin
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use nalgebra::Scalar;
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use num_traits::One;
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#[cfg(feature = "serde-serialize")]
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use serde::{de, Deserialize, Deserializer, Serialize, Serializer};
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use std::iter::FromIterator;
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use std::slice::{Iter, IterMut};
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@ -594,53 +592,56 @@ impl<T> CsrMatrix<T> {
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}
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#[cfg(feature = "serde-serialize")]
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#[derive(Serialize, Deserialize)]
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struct CsrMatrixSerializationData<Indices, Values> {
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nrows: usize,
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ncols: usize,
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row_offsets: Indices,
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col_indices: Indices,
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values: Values,
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}
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mod serde_serialize {
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use super::CsrMatrix;
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use serde::{de, Deserialize, Deserializer, Serialize, Serializer};
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#[cfg(feature = "serde-serialize")]
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impl<T> Serialize for CsrMatrix<T>
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where
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T: Serialize + Clone,
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{
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fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error>
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where
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S: Serializer,
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{
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CsrMatrixSerializationData::<&[usize], &[T]> {
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nrows: self.nrows(),
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ncols: self.ncols(),
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row_offsets: self.row_offsets(),
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col_indices: self.col_indices(),
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values: self.values(),
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}
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.serialize(serializer)
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#[derive(Serialize, Deserialize)]
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struct CsrMatrixSerializationData<Indices, Values> {
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nrows: usize,
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ncols: usize,
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row_offsets: Indices,
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col_indices: Indices,
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values: Values,
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}
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}
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#[cfg(feature = "serde-serialize")]
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impl<'de, T> Deserialize<'de> for CsrMatrix<T>
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where
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T: Deserialize<'de> + Clone,
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{
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fn deserialize<D>(deserializer: D) -> Result<CsrMatrix<T>, D::Error>
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impl<T> Serialize for CsrMatrix<T>
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where
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D: Deserializer<'de>,
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T: Serialize + Clone,
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{
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let de = CsrMatrixSerializationData::<Vec<usize>, Vec<T>>::deserialize(deserializer)?;
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CsrMatrix::try_from_csr_data(
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de.nrows,
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de.ncols,
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de.row_offsets,
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de.col_indices,
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de.values,
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)
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.map_err(|e| de::Error::custom(e))
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fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error>
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where
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S: Serializer,
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{
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CsrMatrixSerializationData::<&[usize], &[T]> {
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nrows: self.nrows(),
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ncols: self.ncols(),
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row_offsets: self.row_offsets(),
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col_indices: self.col_indices(),
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values: self.values(),
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}
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.serialize(serializer)
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}
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}
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impl<'de, T> Deserialize<'de> for CsrMatrix<T>
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where
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T: Deserialize<'de> + Clone,
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{
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fn deserialize<D>(deserializer: D) -> Result<CsrMatrix<T>, D::Error>
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where
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D: Deserializer<'de>,
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{
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let de = CsrMatrixSerializationData::<Vec<usize>, Vec<T>>::deserialize(deserializer)?;
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CsrMatrix::try_from_csr_data(
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de.nrows,
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de.ncols,
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de.row_offsets,
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de.col_indices,
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de.values,
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)
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.map_err(|e| de::Error::custom(e))
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}
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}
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}
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@ -4,9 +4,6 @@ use crate::SparseFormatError;
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use std::error::Error;
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use std::fmt;
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#[cfg(feature = "serde-serialize")]
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use serde::{de, Deserialize, Deserializer, Serialize, Serializer};
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/// A representation of the sparsity pattern of a CSR or CSC matrix.
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///
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/// CSR and CSC matrices store matrices in a very similar fashion. In fact, in a certain sense,
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@ -293,44 +290,47 @@ pub enum SparsityPatternFormatError {
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}
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#[cfg(feature = "serde-serialize")]
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#[derive(Serialize, Deserialize)]
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struct SparsityPatternSerializationData<Indices> {
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major_dim: usize,
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minor_dim: usize,
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major_offsets: Indices,
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minor_indices: Indices,
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}
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mod serde_serialize {
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use super::SparsityPattern;
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use serde::{de, Deserialize, Deserializer, Serialize, Serializer};
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#[cfg(feature = "serde-serialize")]
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impl Serialize for SparsityPattern {
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fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error>
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where
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S: Serializer,
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{
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SparsityPatternSerializationData::<&[usize]> {
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major_dim: self.major_dim(),
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minor_dim: self.minor_dim(),
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major_offsets: self.major_offsets(),
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minor_indices: self.minor_indices(),
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}
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.serialize(serializer)
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#[derive(Serialize, Deserialize)]
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struct SparsityPatternSerializationData<Indices> {
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major_dim: usize,
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minor_dim: usize,
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major_offsets: Indices,
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minor_indices: Indices,
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}
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}
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#[cfg(feature = "serde-serialize")]
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impl<'de> Deserialize<'de> for SparsityPattern {
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fn deserialize<D>(deserializer: D) -> Result<SparsityPattern, D::Error>
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where
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D: Deserializer<'de>,
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{
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let de = SparsityPatternSerializationData::<Vec<usize>>::deserialize(deserializer)?;
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SparsityPattern::try_from_offsets_and_indices(
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de.major_dim,
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de.minor_dim,
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de.major_offsets,
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de.minor_indices,
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)
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.map_err(|e| de::Error::custom(e))
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impl Serialize for SparsityPattern {
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fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error>
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where
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S: Serializer,
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{
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SparsityPatternSerializationData::<&[usize]> {
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major_dim: self.major_dim(),
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minor_dim: self.minor_dim(),
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major_offsets: self.major_offsets(),
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minor_indices: self.minor_indices(),
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}
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.serialize(serializer)
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}
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}
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impl<'de> Deserialize<'de> for SparsityPattern {
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fn deserialize<D>(deserializer: D) -> Result<SparsityPattern, D::Error>
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where
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D: Deserializer<'de>,
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{
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let de = SparsityPatternSerializationData::<Vec<usize>>::deserialize(deserializer)?;
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SparsityPattern::try_from_offsets_and_indices(
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de.major_dim,
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de.minor_dim,
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de.major_offsets,
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de.minor_indices,
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)
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.map_err(|e| de::Error::custom(e))
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}
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}
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}
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