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Support save and load in numpy.lib.format. · MSavameri/TensorFlow.NET@55cc4d0 · GitHub

/ TensorFlow.NET Public
forked from SciSharp/TensorFlow.NET

Commit 55cc4d0

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Oceania2018
committed
Support save and load in numpy.lib.format.
1 parent d794576 commit 55cc4d0

11 files changed

Lines changed: 608 additions & 281 deletions

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‎src/TensorFlowNET.Core/GlobalUsing.cs‎

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@@ -1,3 +1,6 @@
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global using System;
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global using System.Collections.Generic;
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global using System.Text;
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global using System.Collections;
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global using System.Data;
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global using System.Linq;

‎src/TensorFlowNET.Core/NumPy/Implementation/NumPyImpl.load.cs‎

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@@ -1,11 +1,4 @@
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 using System;
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using System.Collections;
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using System.Collections.Generic;
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using System.IO;
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using System.Linq;
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using System.Reflection;
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using System.Text;
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using Tensorflow.Util;
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using System.IO;
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namespace Tensorflow.NumPy
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{
@@ -15,10 +8,7 @@ public NDArray load(string file)
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{
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using var stream = new FileStream(file, FileMode.Open);
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using var reader = new BinaryReader(stream, Encoding.ASCII, leaveOpen: true);
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int bytes;
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Type type;
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int[] shape;
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if (!ParseReader(reader, out bytes, out type, out shape))
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if (!ParseReader(reader, out var bytes, out var type, out var shape))
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throw new FormatException();
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Array array = Create(type, shape.Aggregate((dims, dim) => dims * dim));
@@ -31,10 +21,7 @@ public Array LoadMatrix(Stream stream)
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{
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using (var reader = new BinaryReader(stream, System.Text.Encoding.ASCII, leaveOpen: true))
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{
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int bytes;
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Type type;
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int[] shape;
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if (!ParseReader(reader, out bytes, out type, out shape))
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if (!ParseReader(reader, out var bytes, out var type, out var shape))
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throw new FormatException();
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Array matrix = Array.CreateInstance(type, shape);

‎src/TensorFlowNET.Core/NumPy/Numpy.Persistence.cs‎

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/*****************************************************************************
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Copyright 2023 Haiping Chen. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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******************************************************************************/
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using System.IO;
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using System.IO.Compression;
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namespace Tensorflow.NumPy;
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public partial class np
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{
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[AutoNumPy]
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public static NpzDictionary loadz(string file)
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{
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using var stream = new FileStream(file, FileMode.Open);
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return new NpzDictionary(stream);
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}
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public static void save(string file, NDArray nd)
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{
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using var stream = new FileStream(file, FileMode.Create);
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NpyFormat.Save(nd, stream);
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}
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public static void savez(string file, params NDArray[] nds)
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{
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using var stream = new FileStream(file, FileMode.Create);
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NpzFormat.Save(nds, stream);
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}
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public static void savez(string file, object nds)
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{
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using var stream = new FileStream(file, FileMode.Create);
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NpzFormat.Save(nds, stream);
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}
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public static void savez_compressed(string file, params NDArray[] nds)
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{
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using var stream = new FileStream(file, FileMode.Create);
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NpzFormat.Save(nds, stream, CompressionLevel.Fastest);
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}
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public static void savez_compressed(string file, object nds)
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{
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using var stream = new FileStream(file, FileMode.Create);
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NpzFormat.Save(nds, stream, CompressionLevel.Fastest);
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}
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}

‎src/TensorFlowNET.Core/NumPy/Persistence/NpyFormat.cs‎

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using System.IO;
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using System.Runtime.InteropServices;
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namespace Tensorflow.NumPy;
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public class NpyFormat
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{
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public static void Save(NDArray array, Stream stream, bool leaveOpen = true)
9+
{
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using var writer = new BinaryWriter(stream, Encoding.ASCII, leaveOpen: leaveOpen);
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string dtype = GetDtypeName(array, out var type, out var maxLength);
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int[] shape = array.shape.as_int_list();
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var bytesWritten = (ulong)writeHeader(writer, dtype, shape);
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stream.Write(array.ToByteArray(), 0, (int)array.bytesize);
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}
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private static int writeHeader(BinaryWriter writer, string dtype, int[] shape)
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{
20+
// The first 6 bytes are a magic string: exactly "x93NUMPY"
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char[] magic = { 'N', 'U', 'M', 'P', 'Y' };
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writer.Write((byte)147);
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writer.Write(magic);
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writer.Write((byte)1); // major
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writer.Write((byte)0); // minor;
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string tuple = shape.Length == 1 ? $"{shape[0]}," : String.Join(", ", shape.Select(i => i.ToString()).ToArray());
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string header = "{{'descr': '{0}', 'fortran_order': False, 'shape': ({1}), }}";
30+
header = string.Format(header, dtype, tuple);
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int preamble = 10; // magic string (6) + 4
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int len = header.Length + 1; // the 1 is to account for the missing \n at the end
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int headerSize = len + preamble;
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int pad = 16 - (headerSize % 16);
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header = header.PadRight(header.Length + pad);
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header += "\n";
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headerSize = header.Length + preamble;
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if (headerSize % 16 != 0)
42+
throw new Exception("");
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writer.Write((ushort)header.Length);
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for (int i = 0; i < header.Length; i++)
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writer.Write((byte)header[i]);
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return headerSize;
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}
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private static string GetDtypeName(NDArray array, out Type type, out int bytes)
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{
53+
type = array.dtype.as_system_dtype();
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bytes = 1;
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57+
if (type == typeof(string))
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{
59+
throw new NotSupportedException("");
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}
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else if (type == typeof(bool))
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{
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bytes = 1;
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}
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else
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{
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bytes = Marshal.SizeOf(type);
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}
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if (type == typeof(bool))
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return "|b1";
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else if (type == typeof(byte))
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return "|i1";
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else if (type == typeof(short))
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return "<i2";
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else if (type == typeof(int))
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return "<i4";
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else if (type == typeof(long))
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return "<i8";
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else if (type == typeof(ushort))
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return "<u2";
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else if (type == typeof(uint))
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return "<u4";
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else if (type == typeof(ulong))
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return "<u8";
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else if (type == typeof(float))
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return "<f4";
88+
else if (type == typeof(double))
89+
return "<f8";
90+
else if (type == typeof(string))
91+
return "|S" + bytes;
92+
else
93+
throw new NotSupportedException();
94+
}
95+
}

‎src/TensorFlowNET.Core/NumPy/Persistence/NpzDictionary.cs‎

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using System.IO;
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using System.IO.Compression;
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namespace Tensorflow.NumPy;
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public class NpzDictionary<T> : IDisposable, IReadOnlyDictionary<string, T>, ICollection<T>
7+
where T : class,
8+
ICloneable, IList, ICollection, IEnumerable, IStructuralComparable, IStructuralEquatable
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{
10+
Stream stream;
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ZipArchive archive;
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bool disposedValue = false;
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Dictionary<string, ZipArchiveEntry> entries;
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Dictionary<string, T> arrays;
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public NpzDictionary(Stream stream)
20+
{
21+
this.stream = stream;
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this.archive = new ZipArchive(stream, ZipArchiveMode.Read, leaveOpen: true);
23+
24+
this.entries = new Dictionary<string, ZipArchiveEntry>();
25+
foreach (var entry in archive.Entries)
26+
this.entries[entry.FullName] = entry;
27+
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this.arrays = new Dictionary<string, T>();
29+
}
30+
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public IEnumerable<string> Keys
33+
{
34+
get { return entries.Keys; }
35+
}
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public IEnumerable<T> Values
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{
40+
get { return entries.Values.Select(OpenEntry); }
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}
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public int Count
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{
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get { return entries.Count; }
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}
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public object SyncRoot
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{
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get { return ((ICollection)entries).SyncRoot; }
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}
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public bool IsSynchronized
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{
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get { return ((ICollection)entries).IsSynchronized; }
58+
}
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public bool IsReadOnly
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{
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get { return true; }
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}
64+
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public T this[string key]
66+
{
67+
get { return OpenEntry(entries[key]); }
68+
}
69+
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private T OpenEntry(ZipArchiveEntry entry)
71+
{
72+
T array;
73+
if (arrays.TryGetValue(entry.FullName, out array))
74+
return array;
75+
76+
using (Stream s = entry.Open())
77+
{
78+
array = Load_Npz(s);
79+
arrays[entry.FullName] = array;
80+
return array;
81+
}
82+
}
83+
84+
protected virtual T Load_Npz(Stream s)
85+
{
86+
return np.Load<T>(s);
87+
}
88+
89+
public bool ContainsKey(string key)
90+
{
91+
return entries.ContainsKey(key);
92+
}
93+
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public bool TryGetValue(string key, out T value)
95+
{
96+
value = default(T);
97+
ZipArchiveEntry entry;
98+
if (!entries.TryGetValue(key, out entry))
99+
return false;
100+
value = OpenEntry(entry);
101+
return true;
102+
}
103+
104+
public IEnumerator<KeyValuePair<string, T>> GetEnumerator()
105+
{
106+
foreach (var entry in archive.Entries)
107+
yield return new KeyValuePair<string, T>(entry.FullName, OpenEntry(entry));
108+
}
109+
110+
IEnumerator IEnumerable.GetEnumerator()
111+
{
112+
foreach (var entry in archive.Entries)
113+
yield return new KeyValuePair<string, T>(entry.FullName, OpenEntry(entry));
114+
}
115+
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IEnumerator<T> IEnumerable<T>.GetEnumerator()
117+
{
118+
foreach (var entry in archive.Entries)
119+
yield return OpenEntry(entry);
120+
}
121+
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public void CopyTo(Array array, int arrayIndex)
123+
{
124+
foreach (var v in this)
125+
array.SetValue(v, arrayIndex++);
126+
}
127+
128+
public void CopyTo(T[] array, int arrayIndex)
129+
{
130+
foreach (var v in this)
131+
array.SetValue(v, arrayIndex++);
132+
}
133+
134+
public void Add(T item)
135+
{
136+
throw new ReadOnlyException();
137+
}
138+
139+
public void Clear()
140+
{
141+
throw new ReadOnlyException();
142+
}
143+
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public bool Contains(T item)
145+
{
146+
foreach (var v in this)
147+
if (Object.Equals(v.Value, item))
148+
return true;
149+
return false;
150+
}
151+
152+
public bool Remove(T item)
153+
{
154+
throw new ReadOnlyException();
155+
}
156+
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protected virtual void Dispose(bool disposing)
158+
{
159+
if (!disposedValue)
160+
{
161+
if (disposing)
162+
{
163+
archive.Dispose();
164+
stream.Dispose();
165+
}
166+
167+
archive = null;
168+
stream = null;
169+
entries = null;
170+
arrays = null;
171+
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disposedValue = true;
173+
}
174+
}
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176+
public void Dispose()
177+
{
178+
Dispose(true);
179+
}
180+
}

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