randomx-rs 1.6.0

Rust bindings for the RandomX Proof-of-Work
Documentation
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
// Copyright 2019. The Tari Project
//
// Redistribution and use in source and binary forms, with or without modification, are permitted provided that the
// following conditions are met:
//
// 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following
// disclaimer.
//
// 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the
// following disclaimer in the documentation and/or other materials provided with the distribution.
//
// 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote
// products derived from this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
// INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
// DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
// SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
// SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
// WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE
// USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

//! # RandomX
//!
//! The `randomx-rs` crate provides bindings to the RandomX proof-of-work (PoW) system.
//!
//! From the [RandomX github repo]:
//!
//! "RandomX is a proof-of-work (PoW) algorithm that is optimized for general-purpose CPUs. RandomX uses random code
//! execution together with several memory-hard techniques to minimize the efficiency advantage of specialized
//! hardware."
//!
//! Read more about how RandomX works in the [design document].
//!
//! [RandomX github repo]: <https://github.com/tevador/RandomX>
//! [design document]: <https://github.com/tevador/RandomX/blob/master/doc/design.md>
mod bindings;
/// Test utilities for fuzzing
pub mod test_utils;

use std::{convert::TryFrom, num::TryFromIntError, ptr, sync::Arc};

use bindings::{
    randomx_alloc_cache,
    randomx_alloc_dataset,
    randomx_cache,
    randomx_calculate_hash,
    randomx_create_vm,
    randomx_dataset,
    randomx_dataset_item_count,
    randomx_destroy_vm,
    randomx_get_dataset_memory,
    randomx_init_cache,
    randomx_init_dataset,
    randomx_release_cache,
    randomx_release_dataset,
    randomx_vm,
    randomx_vm_set_cache,
    randomx_vm_set_dataset,
    RANDOMX_HASH_SIZE,
};
use bitflags::bitflags;
use libc::{c_ulong, c_void};
use thiserror::Error;

/// The size, in bytes, of a single RandomX dataset item. The full dataset returned by
/// [`RandomXDataset::get_data`] is `RandomXDataset::count()` items of this size.
pub use crate::bindings::RANDOMX_DATASET_ITEM_SIZE;
use crate::bindings::{
    randomx_calculate_hash_first,
    randomx_calculate_hash_last,
    randomx_calculate_hash_next,
    randomx_get_flags,
};

bitflags! {
    /// RandomX Flags are used to configure the library.
    pub struct RandomXFlag: u32 {
        /// No flags set. Works on all platforms, but is the slowest.
        const FLAG_DEFAULT      = 0b0000_0000;
        /// Allocate memory in large pages.
        const FLAG_LARGE_PAGES  = 0b0000_0001;
        /// Use hardware accelerated AES.
        const FLAG_HARD_AES     = 0b0000_0010;
        /// Use the full dataset.
        const FLAG_FULL_MEM     = 0b0000_0100;
        /// Use JIT compilation support.
        const FLAG_JIT          = 0b0000_1000;
        /// When combined with FLAG_JIT, the JIT pages are never writable and executable at the
        /// same time.
        const FLAG_SECURE       = 0b0001_0000;
        /// Optimize Argon2 for CPUs with the SSSE3 instruction set.
        const FLAG_ARGON2_SSSE3 = 0b0010_0000;
        /// Optimize Argon2 for CPUs with the AVX2 instruction set.
        const FLAG_ARGON2_AVX2  = 0b0100_0000;
        /// Optimize Argon2 for CPUs without the AVX2 or SSSE3 instruction sets.
        const FLAG_ARGON2       = 0b0110_0000;
    }
}

impl RandomXFlag {
    /// Returns the recommended flags to be used.
    ///
    /// Does not include:
    /// * FLAG_LARGE_PAGES
    /// * FLAG_FULL_MEM
    /// * FLAG_SECURE
    ///
    /// The above flags need to be set manually, if required.
    pub fn get_recommended_flags() -> RandomXFlag {
        RandomXFlag {
            bits: unsafe { randomx_get_flags() },
        }
    }
}

impl Default for RandomXFlag {
    /// Default value for RandomXFlag
    fn default() -> RandomXFlag {
        RandomXFlag::FLAG_DEFAULT
    }
}

#[derive(Debug, Clone, Error)]
/// This enum specifies the possible errors that may occur.
pub enum RandomXError {
    #[error("Problem creating the RandomX object: {0}")]
    CreationError(String),
    #[error("Problem with configuration flags: {0}")]
    FlagConfigError(String),
    #[error("Problem with parameters supplied: {0}")]
    ParameterError(String),
    #[error("Failed to convert Int to usize")]
    TryFromIntError(#[from] TryFromIntError),
    #[error("Unknown problem running RandomX: {0}")]
    Other(String),
}

#[derive(Debug)]
struct RandomXCacheInner {
    cache_ptr: *mut randomx_cache,
}

impl Drop for RandomXCacheInner {
    /// De-allocates memory for the `cache` object
    fn drop(&mut self) {
        unsafe {
            randomx_release_cache(self.cache_ptr);
        }
    }
}

#[derive(Debug, Clone)]
/// The Cache is used for light verification and Dataset construction.
pub struct RandomXCache {
    inner: Arc<RandomXCacheInner>,
}

impl RandomXCache {
    /// Creates and alllcates memory for a new cache object, and initializes it with
    /// the key value.
    ///
    /// `flags` is any combination of the following two flags:
    /// * FLAG_LARGE_PAGES
    /// * FLAG_JIT
    ///
    /// and (optionally) one of the following flags (depending on instruction set supported):
    /// * FLAG_ARGON2_SSSE3
    /// * FLAG_ARGON2_AVX2
    ///
    /// `key` is a sequence of u8 used to initialize SuperScalarHash.
    pub fn new(flags: RandomXFlag, key: &[u8]) -> Result<RandomXCache, RandomXError> {
        if key.is_empty() {
            Err(RandomXError::ParameterError("key is empty".to_string()))
        } else {
            let cache_ptr = unsafe { randomx_alloc_cache(flags.bits) };
            if cache_ptr.is_null() {
                Err(RandomXError::CreationError("Could not allocate cache".to_string()))
            } else {
                let inner = RandomXCacheInner { cache_ptr };
                let result = RandomXCache { inner: Arc::new(inner) };
                let key_ptr = key.as_ptr() as *mut c_void;
                let key_size = key.len();
                unsafe {
                    randomx_init_cache(result.inner.cache_ptr, key_ptr, key_size);
                }
                Ok(result)
            }
        }
    }
}

#[derive(Debug)]
struct RandomXDatasetInner {
    dataset_ptr: *mut randomx_dataset,
    dataset_count: u32,
    #[allow(dead_code)]
    cache: RandomXCache,
}

impl Drop for RandomXDatasetInner {
    /// De-allocates memory for the `dataset` object.
    fn drop(&mut self) {
        unsafe {
            randomx_release_dataset(self.dataset_ptr);
        }
    }
}

#[derive(Debug, Clone)]
/// The Dataset is a read-only memory structure that is used during VM program execution.
pub struct RandomXDataset {
    inner: Arc<RandomXDatasetInner>,
}

impl RandomXDataset {
    /// Creates a new dataset object, allocates memory to the `dataset` object and initializes it.
    ///
    /// `flags` is one of the following:
    /// * FLAG_DEFAULT
    /// * FLAG_LARGE_PAGES
    ///
    /// `cache` is a cache object.
    ///
    /// `start` is the item number where initialization should start. **Pass 0.** The items
    /// `[start, RandomXDataset::count())` are initialized by the RandomX library; the leading `start` items are
    /// zeroed, since the library never writes them.
    ///
    /// # Warning
    ///
    /// The RandomX API requires that *every* item from `0` to `RandomXDataset::count() - 1` is initialized before a
    /// dataset may be used (see the note on `randomx_init_dataset` in `randomx.h`). A non-zero `start` therefore
    /// produces a dataset that does **not** satisfy that precondition and must **not** be passed to
    /// [`RandomXVM::new`] or [`RandomXVM::reinit_dataset`]. Doing so is not detected or reported: the VM will read
    /// the zeroed leading items as though they were real dataset items and silently compute hashes that disagree
    /// with every other RandomX implementation.
    ///
    /// The only legitimate use of a non-zero `start` in the upstream API is splitting the initialization of a single
    /// *shared* dataset across several threads, each initializing a different item range. This wrapper cannot express
    /// that, because `new` always allocates its own dataset, so there is no correct value other than 0.
    // Conversions may be lossy on Windows or Linux
    #[allow(clippy::useless_conversion)]
    pub fn new(flags: RandomXFlag, cache: RandomXCache, start: u32) -> Result<RandomXDataset, RandomXError> {
        let item_count = RandomXDataset::count()
            .map_err(|e| RandomXError::CreationError(format!("Could not get dataset count: {e:?}")))?;

        let test = unsafe { randomx_alloc_dataset(flags.bits) };
        if test.is_null() {
            Err(RandomXError::CreationError("Could not allocate dataset".to_string()))
        } else {
            let inner = RandomXDatasetInner {
                dataset_ptr: test,
                dataset_count: item_count,
                cache,
            };
            let result = RandomXDataset { inner: Arc::new(inner) };

            if start < item_count {
                // `randomx_init_dataset` initialises the items `[start, start + count)`, so the count passed to it
                // must be the number of *remaining* items. Passing the full `item_count` with a non-zero `start`
                // writes `start` items past the end of the allocation (a heap buffer overflow, silent in release
                // builds because the library's assertions are compiled out by `NDEBUG`).
                let remaining = item_count.saturating_sub(start);
                // `randomx_alloc_dataset` hands back uninitialised memory (only `FLAG_LARGE_PAGES` gets zero pages),
                // and the call below only writes from `start` onwards, so zero the leading `start` items. Without
                // this the first `start * RANDOMX_DATASET_ITEM_SIZE` bytes stay uninitialised and reading them in
                // `get_data` would be undefined behaviour as well as an information leak.
                if start > 0 {
                    let memory = unsafe { randomx_get_dataset_memory(result.inner.dataset_ptr) };
                    if memory.is_null() {
                        return Err(RandomXError::CreationError(
                            "Could not get dataset memory to zero the uninitialised prefix".to_string(),
                        ));
                    }
                    let prefix_len = usize::try_from(start)?
                        .checked_mul(RANDOMX_DATASET_ITEM_SIZE)
                        .ok_or_else(|| {
                            RandomXError::CreationError(format!("Dataset prefix size overflows: {start}"))
                        })?;
                    // SAFETY: `memory` is the non-null start of the dataset buffer, which the library allocated with
                    // room for `item_count` items of `RANDOMX_DATASET_ITEM_SIZE` bytes. `start < item_count`, so
                    // `prefix_len` bytes lie inside that allocation. `u8` is always valid for any bit pattern and has
                    // an alignment of 1, and nothing else refers to the buffer yet.
                    unsafe {
                        ptr::write_bytes(memory.cast::<u8>(), 0, prefix_len);
                    }
                }
                unsafe {
                    randomx_init_dataset(
                        result.inner.dataset_ptr,
                        result.inner.cache.inner.cache_ptr,
                        c_ulong::from(start),
                        c_ulong::from(remaining),
                    );
                }
                Ok(result)
            } else {
                Err(RandomXError::CreationError(format!(
                    "start must be less than item_count: start: {start}, item_count: {item_count}",
                )))
            }
        }
    }

    /// Returns the number of items in the `dataset` or an error on failure.
    pub fn count() -> Result<u32, RandomXError> {
        match unsafe { randomx_dataset_item_count() } {
            0 => Err(RandomXError::Other("Dataset item count was 0".to_string())),
            x => {
                // This weirdness brought to you by c_ulong being different on Windows and Linux
                #[cfg(target_os = "windows")]
                return Ok(x);
                #[cfg(not(target_os = "windows"))]
                return Ok(u32::try_from(x)?);
            },
        }
    }

    /// Returns a copy of the *entire* internal memory buffer of the `dataset`, or an error on failure.
    ///
    /// The returned buffer is `RandomXDataset::count()` items of [`RANDOMX_DATASET_ITEM_SIZE`] (64) bytes each, i.e.
    /// approximately 2.03 GB with the default RandomX configuration. This is an expensive, fully allocating copy of
    /// the dataset, so avoid calling it on a hot path. The allocation is fallible: an out-of-memory condition is
    /// reported as a [`RandomXError`] instead of aborting the process.
    ///
    /// If the dataset was created with a non-zero `start`, the first `start` items were never initialised by the
    /// RandomX library; [`RandomXDataset::new`] zeroes them, so they are returned here as zero bytes.
    pub fn get_data(&self) -> Result<Vec<u8>, RandomXError> {
        let memory = unsafe { randomx_get_dataset_memory(self.inner.dataset_ptr) };
        if memory.is_null() {
            return Err(RandomXError::Other("Could not get dataset memory".into()));
        }
        // `dataset_count` is an *item* count, not a byte count; each item is `RANDOMX_DATASET_ITEM_SIZE` bytes.
        let item_count = usize::try_from(self.inner.dataset_count)?;
        let size_in_bytes = item_count.checked_mul(RANDOMX_DATASET_ITEM_SIZE).ok_or_else(|| {
            RandomXError::Other(format!(
                "Dataset size overflows usize: {item_count} items of {RANDOMX_DATASET_ITEM_SIZE} bytes each",
            ))
        })?;
        // SAFETY: `memory` is a non-null pointer to the dataset buffer owned by the RandomX library. The library
        // allocated that buffer with room for `randomx_dataset_item_count()` items of `RANDOMX_DATASET_ITEM_SIZE`
        // bytes each, and `dataset_count` was set from that same call, so exactly `size_in_bytes` bytes are inside
        // the allocation. Every one of those bytes is initialised: `RandomXDataset::new` has the library write the
        // items `[start, count)` and zeroes the `[0, start)` prefix that the library leaves untouched. `u8` has an
        // alignment of 1, so the pointer is trivially aligned. The buffer outlives the slice: `&self` keeps the
        // `Arc<RandomXDatasetInner>` (and hence the dataset allocation) alive, the dataset is read-only once
        // initialised, and the slice is copied into an owned `Vec` before this function returns.
        let data = unsafe { std::slice::from_raw_parts(memory.cast::<u8>(), size_in_bytes) };
        // Allocate fallibly: a plain `to_vec` of ~2 GB would call `handle_alloc_error` and abort the whole process
        // on failure, which is not an acceptable outcome for a library that returns a `Result`.
        let mut result = Vec::new();
        result.try_reserve_exact(size_in_bytes).map_err(|e| {
            RandomXError::Other(format!(
                "Could not allocate {size_in_bytes} bytes for the dataset copy: {e}"
            ))
        })?;
        result.extend_from_slice(data);
        Ok(result)
    }
}

#[derive(Debug)]
/// The RandomX Virtual Machine (VM) is a complex instruction set computer that executes generated programs.
pub struct RandomXVM {
    flags: RandomXFlag,
    vm: *mut randomx_vm,
    linked_cache: Option<RandomXCache>,
    linked_dataset: Option<RandomXDataset>,
}

impl Drop for RandomXVM {
    /// De-allocates memory for the `VM` object.
    fn drop(&mut self) {
        unsafe {
            randomx_destroy_vm(self.vm);
        }
    }
}

impl RandomXVM {
    /// Creates a new `VM` and initializes it, error on failure.
    ///
    /// `flags` is any combination of the following 5 flags:
    /// * FLAG_LARGE_PAGES
    /// * FLAG_HARD_AES
    /// * FLAG_FULL_MEM
    /// * FLAG_JIT
    /// * FLAG_SECURE
    ///
    /// Or
    ///
    /// * FLAG_DEFAULT
    ///
    /// `cache` is a cache object, optional if FLAG_FULL_MEM is set.
    ///
    /// `dataset` is a dataset object, optional if FLAG_FULL_MEM is not set.
    pub fn new(
        flags: RandomXFlag,
        cache: Option<RandomXCache>,
        dataset: Option<RandomXDataset>,
    ) -> Result<RandomXVM, RandomXError> {
        let is_full_mem = flags.contains(RandomXFlag::FLAG_FULL_MEM);
        match (cache, dataset) {
            (None, None) => Err(RandomXError::CreationError("Failed to allocate VM".to_string())),
            (None, _) if !is_full_mem => Err(RandomXError::FlagConfigError(
                "No cache and FLAG_FULL_MEM not set".to_string(),
            )),
            (_, None) if is_full_mem => Err(RandomXError::FlagConfigError(
                "No dataset and FLAG_FULL_MEM set".to_string(),
            )),
            (cache, dataset) => {
                let cache_ptr = cache
                    .as_ref()
                    .map(|stash| stash.inner.cache_ptr)
                    .unwrap_or_else(ptr::null_mut);
                let dataset_ptr = dataset
                    .as_ref()
                    .map(|data| data.inner.dataset_ptr)
                    .unwrap_or_else(ptr::null_mut);
                let vm = unsafe { randomx_create_vm(flags.bits, cache_ptr, dataset_ptr) };
                Ok(RandomXVM {
                    vm,
                    flags,
                    linked_cache: cache,
                    linked_dataset: dataset,
                })
            },
        }
    }

    /// Re-initializes the `VM` with a new cache that was initialised without
    /// RandomXFlag::FLAG_FULL_MEM.
    pub fn reinit_cache(&mut self, cache: RandomXCache) -> Result<(), RandomXError> {
        if self.flags.contains(RandomXFlag::FLAG_FULL_MEM) {
            Err(RandomXError::FlagConfigError(
                "Cannot reinit cache with FLAG_FULL_MEM set".to_string(),
            ))
        } else {
            unsafe {
                randomx_vm_set_cache(self.vm, cache.inner.cache_ptr);
            }
            self.linked_cache = Some(cache);
            Ok(())
        }
    }

    /// Re-initializes the `VM` with a new dataset that was initialised with
    /// RandomXFlag::FLAG_FULL_MEM.
    pub fn reinit_dataset(&mut self, dataset: RandomXDataset) -> Result<(), RandomXError> {
        if self.flags.contains(RandomXFlag::FLAG_FULL_MEM) {
            unsafe {
                randomx_vm_set_dataset(self.vm, dataset.inner.dataset_ptr);
            }
            self.linked_dataset = Some(dataset);
            Ok(())
        } else {
            Err(RandomXError::FlagConfigError(
                "Cannot reinit dataset without FLAG_FULL_MEM set".to_string(),
            ))
        }
    }

    /// Calculates a RandomX hash value and returns it, error on failure.
    ///
    /// `input` is a sequence of u8 to be hashed.
    pub fn calculate_hash(&self, input: &[u8]) -> Result<Vec<u8>, RandomXError> {
        if input.is_empty() {
            Err(RandomXError::ParameterError("input was empty".to_string()))
        } else {
            let size_input = input.len();
            let input_ptr = input.as_ptr() as *mut c_void;
            let arr = [0; RANDOMX_HASH_SIZE as usize];
            let output_ptr = arr.as_ptr() as *mut c_void;
            unsafe {
                randomx_calculate_hash(self.vm, input_ptr, size_input, output_ptr);
            }
            // if this failed, arr should still be empty
            if arr == [0; RANDOMX_HASH_SIZE as usize] {
                Err(RandomXError::Other("RandomX calculated hash was empty".to_string()))
            } else {
                let result = arr.to_vec();
                Ok(result)
            }
        }
    }

    /// Calculates hashes from a set of inputs.
    ///
    /// `input` is an array of a sequence of u8 to be hashed.
    #[allow(clippy::needless_range_loop)] // Range loop is not only for indexing `input`
    pub fn calculate_hash_set(&self, input: &[&[u8]]) -> Result<Vec<Vec<u8>>, RandomXError> {
        if input.is_empty() {
            // Empty set
            return Err(RandomXError::ParameterError("input was empty".to_string()));
        }

        let mut result = Vec::new();
        // For single input
        if input.len() == 1 {
            let hash = self.calculate_hash(input[0])?;
            result.push(hash);
            return Ok(result);
        }

        // For multiple inputs
        let mut output_ptr: *mut c_void = ptr::null_mut();
        let arr = [0; RANDOMX_HASH_SIZE as usize];

        // Not len() as last iteration assigns final hash
        let iterations = input.len() + 1;
        for i in 0..iterations {
            if i == iterations - 1 {
                // For last iteration
                unsafe {
                    randomx_calculate_hash_last(self.vm, output_ptr);
                }
            } else {
                if input[i].is_empty() {
                    // Stop calculations
                    if arr != [0; RANDOMX_HASH_SIZE as usize] {
                        // Complete what was started
                        unsafe {
                            randomx_calculate_hash_last(self.vm, output_ptr);
                        }
                    }
                    return Err(RandomXError::ParameterError("input was empty".to_string()));
                };
                let size_input = input[i].len();
                let input_ptr = input[i].as_ptr() as *mut c_void;
                output_ptr = arr.as_ptr() as *mut c_void;
                if i == 0 {
                    // For first iteration
                    unsafe {
                        randomx_calculate_hash_first(self.vm, input_ptr, size_input);
                    }
                } else {
                    unsafe {
                        // For every other iteration
                        randomx_calculate_hash_next(self.vm, input_ptr, size_input, output_ptr);
                    }
                }
            }

            if i != 0 {
                // First hash is only available in 2nd iteration
                if arr == [0; RANDOMX_HASH_SIZE as usize] {
                    return Err(RandomXError::Other("RandomX hash was zero".to_string()));
                }
                let output: Vec<u8> = arr.to_vec();
                result.push(output);
            }
        }
        Ok(result)
    }
}

#[cfg(test)]
mod tests {
    use std::{convert::TryFrom, ptr, sync::Arc};

    use crate::{
        bindings::randomx_get_dataset_memory,
        RandomXCache,
        RandomXCacheInner,
        RandomXDataset,
        RandomXDatasetInner,
        RandomXFlag,
        RandomXVM,
        RANDOMX_DATASET_ITEM_SIZE,
    };

    #[test]
    fn lib_alloc_cache() {
        let flags = RandomXFlag::default();
        let key = "Key";
        let cache = RandomXCache::new(flags, key.as_bytes()).expect("Failed to allocate cache");
        drop(cache);
    }

    #[test]
    fn lib_alloc_dataset() {
        let flags = RandomXFlag::default();
        let key = "Key";
        let cache = RandomXCache::new(flags, key.as_bytes()).unwrap();
        let dataset = RandomXDataset::new(flags, cache.clone(), 0).expect("Failed to allocate dataset");
        drop(dataset);
        drop(cache);
    }

    #[test]
    fn lib_alloc_vm() {
        let flags = RandomXFlag::default();
        let key = "Key";
        let cache = RandomXCache::new(flags, key.as_bytes()).unwrap();
        let mut vm = RandomXVM::new(flags, Some(cache.clone()), None).expect("Failed to allocate VM");
        drop(vm);
        let dataset = RandomXDataset::new(flags, cache.clone(), 0).unwrap();
        vm = RandomXVM::new(flags, Some(cache.clone()), Some(dataset.clone())).expect("Failed to allocate VM");
        drop(dataset);
        drop(cache);
        drop(vm);
    }

    #[test]
    fn lib_dataset_memory() {
        let flags = RandomXFlag::default();
        let key = "Key";
        let cache = RandomXCache::new(flags, key.as_bytes()).unwrap();
        let dataset = RandomXDataset::new(flags, cache.clone(), 0).unwrap();
        let item_count = usize::try_from(RandomXDataset::count().unwrap()).unwrap();
        let memory = dataset.get_data().expect("Failed to get dataset memory");
        // `get_data` must return the *whole* dataset: one item is `RANDOMX_DATASET_ITEM_SIZE` bytes.
        assert_eq!(
            memory.len(),
            item_count * RANDOMX_DATASET_ITEM_SIZE,
            "get_data did not return the full dataset"
        );
        // Check the *last* item, which is the part of the range the length fix actually extended, rather than
        // scanning from the front (which would short-circuit on the very first byte and prove nothing).
        assert!(
            memory[memory.len() - RANDOMX_DATASET_ITEM_SIZE..]
                .iter()
                .any(|&b| b != 0),
            "The last dataset item was all zeroes"
        );
        drop(memory);
        drop(dataset);
        drop(cache);
    }

    #[test]
    fn lib_dataset_non_zero_start() {
        const START: u32 = 2;
        let flags = RandomXFlag::default();
        let key = "Key";
        let cache = RandomXCache::new(flags, key.as_bytes()).unwrap();
        let item_count = RandomXDataset::count().unwrap();
        let dataset = RandomXDataset::new(flags, cache.clone(), START).expect("Failed to allocate dataset");

        // Read the library's buffer directly rather than through `get_data`, so this test does not allocate a
        // second ~2 GB copy on top of the dataset itself.
        let memory = unsafe { randomx_get_dataset_memory(dataset.inner.dataset_ptr) };
        assert!(!memory.is_null());
        let len = usize::try_from(item_count).unwrap() * RANDOMX_DATASET_ITEM_SIZE;
        // SAFETY: `memory` is the non-null dataset buffer of `item_count` items, fully initialised by
        // `RandomXDataset::new`, and it is kept alive by `dataset` for the duration of the borrow.
        let data = unsafe { std::slice::from_raw_parts(memory.cast::<u8>(), len) };

        // The library never writes the first `START` items, so `new` must have zeroed them.
        let prefix = usize::try_from(START).unwrap() * RANDOMX_DATASET_ITEM_SIZE;
        assert!(
            data[..prefix].iter().all(|&b| b == 0),
            "The uninitialised prefix was not zeroed"
        );
        // The final item must be initialised, i.e. the range is not *under*-initialised. Note that this assertion
        // does not by itself catch a reintroduced overflow: the last item is written both when the correct
        // remaining count is passed and when the full item count is passed. What catches that regression is the
        // RandomX library's own `assert(startItem + itemCount <= DatasetItemCount)` in `randomx.cpp`, which is live
        // in debug builds (the `cmake` crate maps a debug Rust profile to `CMAKE_BUILD_TYPE=Debug`) and aborts the
        // test binary. CI runs the suite in debug, so a regression here fails the build.
        assert!(
            data[len - RANDOMX_DATASET_ITEM_SIZE..].iter().any(|&b| b != 0),
            "The last dataset item was not initialised"
        );

        // `start` must stay inside the dataset.
        assert!(RandomXDataset::new(flags, cache.clone(), item_count).is_err());

        drop(dataset);
        drop(cache);
    }

    #[test]
    fn test_null_assignments() {
        let flags = RandomXFlag::get_recommended_flags();
        if let Ok(mut vm) = RandomXVM::new(flags, None, None) {
            let cache = RandomXCache {
                inner: Arc::new(RandomXCacheInner {
                    cache_ptr: ptr::null_mut(),
                }),
            };
            assert!(vm.reinit_cache(cache.clone()).is_err());
            let dataset = RandomXDataset {
                inner: Arc::new(RandomXDatasetInner {
                    dataset_ptr: ptr::null_mut(),
                    dataset_count: 0,
                    cache,
                }),
            };
            assert!(vm.reinit_dataset(dataset.clone()).is_err());
        }
    }

    #[test]
    fn lib_calculate_hash() {
        let flags = RandomXFlag::get_recommended_flags();
        let flags2 = flags | RandomXFlag::FLAG_FULL_MEM;
        let key = "Key";
        let input = "Input";
        let cache1 = RandomXCache::new(flags, key.as_bytes()).unwrap();
        let mut vm1 = RandomXVM::new(flags, Some(cache1.clone()), None).unwrap();
        let hash1 = vm1.calculate_hash(input.as_bytes()).expect("no data");
        let vec = vec![0u8; hash1.len()];
        assert_ne!(hash1, vec);
        let reinit_cache = vm1.reinit_cache(cache1.clone());
        assert!(reinit_cache.is_ok());
        let hash2 = vm1.calculate_hash(input.as_bytes()).expect("no data");
        assert_ne!(hash2, vec);
        assert_eq!(hash1, hash2);

        let cache2 = RandomXCache::new(flags, key.as_bytes()).unwrap();
        let vm2 = RandomXVM::new(flags, Some(cache2.clone()), None).unwrap();
        let hash3 = vm2.calculate_hash(input.as_bytes()).expect("no data");
        assert_eq!(hash2, hash3);

        let cache3 = RandomXCache::new(flags, key.as_bytes()).unwrap();
        let dataset3 = RandomXDataset::new(flags, cache3.clone(), 0).unwrap();
        let mut vm3 = RandomXVM::new(flags2, None, Some(dataset3.clone())).unwrap();
        let hash4 = vm3.calculate_hash(input.as_bytes()).expect("no data");
        assert_ne!(hash3, vec);
        let reinit_dataset = vm3.reinit_dataset(dataset3.clone());
        assert!(reinit_dataset.is_ok());
        let hash5 = vm3.calculate_hash(input.as_bytes()).expect("no data");
        assert_ne!(hash4, vec);
        assert_eq!(hash4, hash5);

        let cache4 = RandomXCache::new(flags, key.as_bytes()).unwrap();
        let dataset4 = RandomXDataset::new(flags, cache4.clone(), 0).unwrap();
        let vm4 = RandomXVM::new(flags2, Some(cache4), Some(dataset4.clone())).unwrap();
        let hash6 = vm3.calculate_hash(input.as_bytes()).expect("no data");
        assert_eq!(hash5, hash6);

        drop(dataset3);
        drop(dataset4);
        drop(cache1);
        drop(cache2);
        drop(cache3);
        drop(vm1);
        drop(vm2);
        drop(vm3);
        drop(vm4);
    }

    #[test]
    fn lib_calculate_hash_set() {
        let flags = RandomXFlag::default();
        let key = "Key";
        let inputs = vec!["Input".as_bytes(), "Input 2".as_bytes(), "Inputs 3".as_bytes()];
        let cache = RandomXCache::new(flags, key.as_bytes()).unwrap();
        let vm = RandomXVM::new(flags, Some(cache.clone()), None).unwrap();
        let hashes = vm.calculate_hash_set(inputs.as_slice()).expect("no data");
        assert_eq!(inputs.len(), hashes.len());
        let mut prev_hash = Vec::new();
        for (i, hash) in hashes.into_iter().enumerate() {
            let vec = vec![0u8; hash.len()];
            assert_ne!(hash, vec);
            assert_ne!(hash, prev_hash);
            let compare = vm.calculate_hash(inputs[i]).unwrap(); // sanity check
            assert_eq!(hash, compare);
            prev_hash = hash;
        }
        drop(cache);
        drop(vm);
    }

    #[test]
    fn lib_calculate_hash_is_consistent() {
        let flags = RandomXFlag::get_recommended_flags();
        let key = "Key";
        let input = "Input";
        let cache = RandomXCache::new(flags, key.as_bytes()).unwrap();
        let dataset = RandomXDataset::new(flags, cache.clone(), 0).unwrap();
        let vm = RandomXVM::new(flags, Some(cache.clone()), Some(dataset.clone())).unwrap();
        let hash = vm.calculate_hash(input.as_bytes()).expect("no data");
        assert_eq!(hash, [
            114, 81, 192, 5, 165, 242, 107, 100, 184, 77, 37, 129, 52, 203, 217, 227, 65, 83, 215, 213, 59, 71, 32,
            172, 253, 155, 204, 111, 183, 213, 157, 155
        ]);
        drop(vm);
        drop(dataset);
        drop(cache);

        let cache1 = RandomXCache::new(flags, key.as_bytes()).unwrap();
        let dataset1 = RandomXDataset::new(flags, cache1.clone(), 0).unwrap();
        let vm1 = RandomXVM::new(flags, Some(cache1.clone()), Some(dataset1.clone())).unwrap();
        let hash1 = vm1.calculate_hash(input.as_bytes()).expect("no data");
        assert_eq!(hash1, [
            114, 81, 192, 5, 165, 242, 107, 100, 184, 77, 37, 129, 52, 203, 217, 227, 65, 83, 215, 213, 59, 71, 32,
            172, 253, 155, 204, 111, 183, 213, 157, 155
        ]);
        drop(vm1);
        drop(dataset1);
        drop(cache1);
    }

    #[test]
    fn lib_check_cache_and_dataset_lifetimes() {
        let flags = RandomXFlag::get_recommended_flags();
        let key = "Key";
        let input = "Input";
        let cache = RandomXCache::new(flags, key.as_bytes()).unwrap();
        let dataset = RandomXDataset::new(flags, cache.clone(), 0).unwrap();
        let vm = RandomXVM::new(flags, Some(cache.clone()), Some(dataset.clone())).unwrap();
        drop(dataset);
        drop(cache);
        let hash = vm.calculate_hash(input.as_bytes()).expect("no data");
        assert_eq!(hash, [
            114, 81, 192, 5, 165, 242, 107, 100, 184, 77, 37, 129, 52, 203, 217, 227, 65, 83, 215, 213, 59, 71, 32,
            172, 253, 155, 204, 111, 183, 213, 157, 155
        ]);
        drop(vm);

        let cache1 = RandomXCache::new(flags, key.as_bytes()).unwrap();
        let dataset1 = RandomXDataset::new(flags, cache1.clone(), 0).unwrap();
        let vm1 = RandomXVM::new(flags, Some(cache1.clone()), Some(dataset1.clone())).unwrap();
        drop(dataset1);
        drop(cache1);
        let hash1 = vm1.calculate_hash(input.as_bytes()).expect("no data");
        assert_eq!(hash1, [
            114, 81, 192, 5, 165, 242, 107, 100, 184, 77, 37, 129, 52, 203, 217, 227, 65, 83, 215, 213, 59, 71, 32,
            172, 253, 155, 204, 111, 183, 213, 157, 155
        ]);
        drop(vm1);
    }

    #[test]
    fn randomx_hash_fast_vs_light() {
        let input = b"input";
        let key = b"key";

        let flags = RandomXFlag::get_recommended_flags() | RandomXFlag::FLAG_FULL_MEM;
        let cache = RandomXCache::new(flags, key).unwrap();
        let dataset = RandomXDataset::new(flags, cache, 0).unwrap();
        let fast_vm = RandomXVM::new(flags, None, Some(dataset)).unwrap();

        let flags = RandomXFlag::get_recommended_flags();
        let cache = RandomXCache::new(flags, key).unwrap();
        let light_vm = RandomXVM::new(flags, Some(cache), None).unwrap();

        let fast = fast_vm.calculate_hash(input).unwrap();
        let light = light_vm.calculate_hash(input).unwrap();
        assert_eq!(fast, light);
    }

    #[test]
    fn test_vectors_fast_mode() {
        // test vectors from https://github.com/tevador/RandomX/blob/040f4500a6e79d54d84a668013a94507045e786f/src/tests/tests.cpp#L963-L979
        let key = b"test key 000";
        let vectors = [
            (
                b"This is a test".as_slice(),
                "639183aae1bf4c9a35884cb46b09cad9175f04efd7684e7262a0ac1c2f0b4e3f",
            ),
            (
                b"Lorem ipsum dolor sit amet".as_slice(),
                "300a0adb47603dedb42228ccb2b211104f4da45af709cd7547cd049e9489c969",
            ),
            (
                b"sed do eiusmod tempor incididunt ut labore et dolore magna aliqua".as_slice(),
                "c36d4ed4191e617309867ed66a443be4075014e2b061bcdaf9ce7b721d2b77a8",
            ),
        ];

        let flags = RandomXFlag::get_recommended_flags() | RandomXFlag::FLAG_FULL_MEM;
        let cache = RandomXCache::new(flags, key).unwrap();
        let dataset = RandomXDataset::new(flags, cache, 0).unwrap();
        let vm = RandomXVM::new(flags, None, Some(dataset)).unwrap();

        for (input, expected) in vectors {
            let hash = vm.calculate_hash(input).unwrap();
            assert_eq!(hex::decode(expected).unwrap(), hash);
        }
    }

    #[test]
    fn test_vectors_light_mode() {
        // test vectors from https://github.com/tevador/RandomX/blob/040f4500a6e79d54d84a668013a94507045e786f/src/tests/tests.cpp#L963-L985
        let vectors = [
            (
                b"test key 000",
                b"This is a test".as_slice(),
                "639183aae1bf4c9a35884cb46b09cad9175f04efd7684e7262a0ac1c2f0b4e3f",
            ),
            (
                b"test key 000",
                b"Lorem ipsum dolor sit amet".as_slice(),
                "300a0adb47603dedb42228ccb2b211104f4da45af709cd7547cd049e9489c969",
            ),
            (
                b"test key 000",
                b"sed do eiusmod tempor incididunt ut labore et dolore magna aliqua".as_slice(),
                "c36d4ed4191e617309867ed66a443be4075014e2b061bcdaf9ce7b721d2b77a8",
            ),
            (
                b"test key 001",
                b"sed do eiusmod tempor incididunt ut labore et dolore magna aliqua".as_slice(),
                "e9ff4503201c0c2cca26d285c93ae883f9b1d30c9eb240b820756f2d5a7905fc",
            ),
        ];

        let flags = RandomXFlag::get_recommended_flags();
        for (key, input, expected) in vectors {
            let cache = RandomXCache::new(flags, key).unwrap();
            let vm = RandomXVM::new(flags, Some(cache), None).unwrap();
            let hash = vm.calculate_hash(input).unwrap();
            assert_eq!(hex::decode(expected).unwrap(), hash);
        }
    }
}