* CIPLabeler performance: Store vector of bonds
CIPLabelling refers to bonds by index over and over again. This
causes a measurable hit in performance in findConfigs() because
we iterate over a bitset of "allowed" bonds. For very large
molecules with many bonds, this can be a rate-limiting step!
This affects many PDB-sized structures.
2J3N goes from 0.7s to 0.25s with this change.
I had another example for which the findBondWithIdx() call was
taking 500ms of a 700ms call (after the performance update
in #9171 was implemented)
* yikes, XXL reserve
thanks, greg
Co-authored-by: Greg Landrum <greg.landrum@gmail.com>
---------
Co-authored-by: Greg Landrum <greg.landrum@gmail.com>
* CIP labeller: Don't calculate auxiliary descriptors unnecessarily
The first 3 rules (the constitutional rules) are pretty easy
to understand. After rule 3, we need to calculate auxiliary
stereo descriptors to break ties.
However, we _were actually_ calculating auxiliary stereodescriptors
for all centers! We should only need to calculate auxiliary
stereocenters for sites that are needed to break ties.
This cost time - it also caused errors if the auxiliary descriptors
needed a graph expansion, because bonds in the digraph might be
pointed in the wrong direction.
Example case PDB ID 4AXM
Before this commit, errored with "Could not calculate parity! Carrier mismatch"
after 14s. After this commit, completes successfully in 0.036s.
Labelled centers all match (for the centers that had labels in
the failure case).
Includes a test that I can imagine breaking with this optimization.
The reference labels are from before this change
* Ensure all "arms" of stereo bonds and atropisomer bonds are expanded
For tetrahedral centers, ranking using the constitutional rules
always expands as far as is needed (but no further). For SP2bond
and atropisomers, if the first side is not resolvable, the
second side is never visited.
If the constitutional rules don't resolve a side, we need to
label the auxiliary centers. It's important to label all
auxiliary centers that _will_ be visited, so we need to know
what centers will be visited.
This commit updates the label() call in SP2 and Atropisomer
bonds to always attempt to label both sides if using the
constitutional rule set.
The constitutional rules are cheap, and if they fail, we
always go on to the full rule set. It is not a savings to skip
the search on the second side if we're going to keep going
anyway!
Includes a test that reproduces Ricardo's example.
This has no measurable effect on performance relative to the
original solution
* If any parts of the center have been seen, label it.
I couldn't make an example hit this, but Ric is totally
theoretically right
* Greg's ranges suggestion #2
Co-authored-by: Greg Landrum <greg.landrum@gmail.com>
* any_of for container search
Co-authored-by: Greg Landrum <greg.landrum@gmail.com>
---------
Co-authored-by: Greg Landrum <greg.landrum@gmail.com>
* fix extended boundary issue (3 mols)
* clang pass
* no change. retrigger CI for failed java test
there's a failing java test that seems to be failing by chance rather than by changes, as it depends on rng. this is just to retrigger the CI pipeline to confirm this
* no change. retrigger the CI (yet again)
* raw strings and removed garbage collector
* SHARED-12256: Add test and change function.
* SHARED-12256: Update to only wrapping changes.
* SHARED-12256: Parameterize tests.
* SHARED-12256: GetPropIfPresent changes.
* Revert "SHARED-12256: GetPropIfPresent changes."
This reverts commit f598f8c161.
* SHARED-12256: Make default the keyword in the boost wrappings.
* SHARED-12256: Overload function instead of using a sentinel.
* SHARED-12256: Extend GetProp changes.
* SHARED-12256: Add entry point for tests and fix tests.
* iterators for random-access MolSuppliers
add optional caching to SDMolSupplier
* add support to SmilesMolSupplier too
There is a lot of duplicate code between the random-access suppliers that would be worth trying to remove
but at the moment it looks like it would require multiple inheritance, and I think we want to avoid that
* add input iterators for ForwardSDMolSupplier()
* throw when calling begin() on a used supplier
* switch to use the spaceship operator
* init() should reset the mol cache
* Make SDMolSupplier and SmilesMolSupplier safe for multi-threaded reads
* add benchmarking
* add TDTMolSupplier support
improved testing
add benchmarks for parallel iteration
optional TBB support
* better const handling, add reverse iterators
doesn't look like const_iterator is possible since getting data from the underlyng supplier object is non-const
* improve docs
more usings
add reverse iterator to TDTMolSupplier
* tests only try execution::par when it is there
* fix typo
* more testing/demo
* remove accidentally added files
* review changes
* add default ctors
* disable a false-positive compiler warning
it is stupid to have to do this
---------
Co-authored-by: = <=>
* check for duplicate atoms/bonds in StereoGroups
* explicit handling of duplicate stereogroup atoms in CTAB and CXSMILES parsers
---------
Co-authored-by: = <=>
* Tautomer insensitive hash v2, E/Z and stereocenter-preservation
* Preserve E/Z stereochemistry and stereocenters in TautomerHashv2
Simplify extension logic to better protect stereocenters connected via
single bonds to aromatic systems. Preserve E/Z stereo on exocyclic
double bonds to distinguish geometric isomers (e.g., E/Z hydrazones).
* add helper function to remove duplicated code
* Fix ring info and bond aromaticity handling in MolHash
- Add fastFindRings check in TautomerHashv2 before ring queries
- Set isAromatic consistent with bond type (true for AROMATIC bonds)
- Fix inverted condition in RegioisomerHash
* more consistent hashes regardless of stereo annotation
* Configurable legend position (Top/Left/Right/Bottom) and vertical text (GitHub #9023)
- Add LegendPosition enum and legendPosition, legendVerticalText to MolDrawOptions
- Support legend at Top, Left, Right, Bottom; vertical text for Left/Right
- Python: MolDrawOptions.legendPosition, .legendVerticalText; LegendPosition enum
- Python: MolToSVG() wrapper with legend/drawOptions; doc updates for MolToImage
- JSON: legendPosition (string), legendVerticalText (bool) in draw options
- C++ and Python tests; release note and Cartridge.md docs
* MolDraw2D: legend gutter for horizontal side legends; vertical side height fit
- Reserve horizontal gap between molecule and left/right horizontal legends
(scale mol to molWidth-gutter, align toward legend strip).
- Position horizontal side legend by measured text width from partition edge.
- Vertical side legends: iterative scale so n*max_h+(n-1)*gap fits panel.
- Catch: long vertical side legend section.
* Update legend-position tests and review-driven cleanup
Use enum/default wording for legendPosition docs, move the lightweight Python test to Wrap, add regex-based placement checks (including horizontal side and vertical stacking), and refactor extractLegend helpers per style guidance.
* Fix MolDraw2D legend edge cases
* MolDraw2D: review follow-up (legend tests, bounds, DRY Top/Bottom)
* Update no-FT legend test coords
* Address PR review: document constants, remove release-note text, and simplify extra-padding logic
Adds a new function MolDraw2D_detail::getSGroupDataLabels() that returns
the text and molecule-coordinate positions of DAT SGroup labels, using
the same placement logic as the drawing code. This allows external
renderers to display SGroup labels consistently with RDKit's placement.
Refactors DrawMol::extractSGroupData() to call getSGroupDataLabels()
internally, eliminating the duplicate FIELDDISP parsing and position
computation logic.
Closes#7829
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
* initial ranges support for Atom/Bond iterators.
needs more testing
* support random access
test sort
more testing please
* compiles on windows
* fix size()
more testing
add some benchmarking
* disable benchmarking code by default
* do not allow modifying the graph through the iterators
---------
Co-authored-by: = <=>
* Speed up tautomer canonicalization by deferring on SSSR calc
* Lazy kekulization for tautomer enumeration
Defer kekulization of tautomers until they are actually needed for
transform matching. This avoids creating kekulized copies for:
1. The initial tautomer (until first iteration)
2. New tautomers that may never be processed (if enumeration ends early)
The Tautomer class now supports lazy initialization of the kekulized
form via getKekulized() method.
Performance improvement: ~7% additional speedup (total ~22-24% from baseline)
* Use count-only substructure matching in tautomer scoring
* Add SubstructMatchCount regression test
* MolStandardize: reduce enumerate overhead
* MolStandardize: avoid per-tautomer ring recomputation
* Atom: cache PeriodicTable pointer in valence calcs
* Atom: reuse PeriodicTable in getEffectiveAtomicNum
* PeriodicTable: add atomic fast path for getTable
* GraphMol: reduce ROMol copy reallocations
* MolStandardize: use quickCopy for per-match product copies
Use RWMol(*kmol, true) in tautomer enumeration to avoid copying properties/bookmarks/conformers for each candidate. This reduces deep-copy overhead without changing chemistry.
* MolStandardize: pre-filter scoring patterns by element/connectivity
For tautomer scoring, pre-compute which SubstructTerms are relevant for
a given input molecule. Since tautomerization only moves H atoms and
changes bond orders (never creates/destroys heavy-atom bonds), patterns
requiring missing elements or connectivity can be skipped for all
tautomers of that molecule.
Two-stage filtering:
1. Element check: skip patterns requiring atoms not in the molecule
2. Connectivity check: skip patterns whose bond-order-agnostic structure
doesn't match the input molecule's connectivity
This reduces the number of VF2 substructure calls per tautomer from 12
to typically 3-5, depending on the molecule's composition.
* MolStandardize: preserve molecule properties for canonical tautomer
Copy molecule properties from the original input to the canonical tautomer
result. Since quickCopy during enumeration skips d_props to avoid overhead,
extended SMILES data like link nodes (LN) was lost. This restores them
on the final result.
* TautomerQuery: preserve molecule properties (e.g. link nodes) in tautomers
TautomerQuery::fromMol() uses TautomerEnumerator::enumerate() which uses
quickCopy for performance. This doesn't copy molecule properties like
_molLinkNodes. Without this fix, XQMol output would lose link node
extensions in the SMILES.
Copy properties from the original query molecule to all enumerated
tautomers before constructing the TautomerQuery. This preserves extended
SMILES data without impacting enumeration performance.
* MolStandardize: use parallel iteration and cache bond lookups
Replace O(n) getAtomWithIdx/getBondWithIdx calls with parallel iteration
over atom/bond ranges in canonicalizeInPlace and enumerate. Cache bond
lookups in setTautomerStereoAndIsoHs to avoid repeated O(n) searches.
* perf: add specialized matchers for simple tautomer scoring patterns
Replace VF2 graph matching with O(n) loops for 6 simple patterns:
- countDoubleOrAromaticBonds: C=O, N=O, P=O patterns
- countMethyls: [CX4H3] methyl groups
- countCarbonDoubleHetero: [C]=[/home/dcvuser/rdkit;Code/GraphMol/MolStandardize/Tautomer.h] aliphatic C=hetero
- countAromaticCarbonExocyclicN: [c]=aromatic C=exocyclic N
Complex patterns (benzoquinone, oxim, guanidine, aci-nitro) still use VF2.
Combined with the pre-filtering optimization, this achieves ~3.7x speedup
(~2500ms vs ~9300ms original) for tautomer canonicalization.
* Fix tautomer canonicalize dropping conformers from quickCopy
quickCopy (RWMol(*mol, true)) skips conformers, so tautomer
enumeration products lose 2D/3D coordinates. This causes InChI
generation to omit the /b (double bond E/Z stereo) layer, since
E/Z is derived from atomic coordinates.
Fix: copy conformers from the original molecule onto the canonical
tautomer after pickCanonical in TautomerEnumerator::canonicalize().
Tests: SMILES-based E/Z check in testTautomer.cpp, molblock-based
conformer preservation check in catch_tests.cpp.
* add test on canonicalize losing stereo
* add regression test for exocyclic C=C tautomer canonicalization
The getTautomerStateKey() pre-filter (commit 2595ef748) can falsely
deduplicate distinct tautomers when their atom-index-ordered state
patterns happen to match, leading canonicalize() to pick the wrong
canonical form for molecules with STEREOTRANS-pinned exocyclic C=C
bonds after RemoveHs.
Test verifies that O=C(CC1=CC2=CC=COC2)NC1=O canonicalizes to the
exocyclic form O=C1CC(=CC2=CC=COC2)C(=O)N1, not the endocyclic form
O=C1C=C(C=C2CC=COC2)C(=O)N1.
Currently expected to FAIL until the state key dedup bug is fixed.
* MolStandardize: expand tautomer connectivity SMARTS
* MolStandardize: scope tautomer pattern enum
* MolStandardize: trim tautomer pattern enum
* MolStandardize: use symmetric ring scoring
* parse templates as smarts
* accept ring templates in SMARTS format
* undo CLAUDE mistake
* rename files
* enable templating for macrocycles
* enable macrocycle templating
* Add test for macrocycle templating
Tests that ring system templates are used only for macrocycles (rings
with size > 8). The test verifies the exact threshold by generating
coordinates with and without templates for rings of size 4-14.
Addresses review feedback on PR #9203.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
---------
Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
* Fixes#9143
There is still some weirdness in the matching of ET bonds in macrocycles, but it is not connected to this change.
* adjust test to work on win (and mac?)
* tweak expected results for win ci
* Remove Dict::getData() for a strict abstraction boundary
Replace direct access to Dict's internal std::vector<Pair> with
encapsulated methods: size(), empty(), const iteration via
begin()/end(), appendPair(), markNonPOD(), and getRawVal().
This enables future changes to Dict's internal representation
without breaking callers.
Ref: rdkit/rdkit#9112
* Harden Dict::appendPair to take a populated Pair by move
appendPair(Pair&&) now auto-detects non-POD status via
RDValue::needsCleanup(), eliminating markNonPOD() and the
risk of dangling references or uninitialized entries.
needsCleanup() is placed next to destroy() on RDValue to
keep the POD/non-POD distinction in one place.
* Remove vestigial dictHasNonPOD param from streamReadProp
Both callers ignored the output. Non-POD detection is now handled
by Dict::appendPair via RDValue::needsCleanup().
* unbork java build
* Address PR review: bulk append, rename getRawVal, add custom data test
- Add Dict::append(vector<Pair>&&) for bulk insertion with reserve
- Use bulk append in streamReadProps to restore pre-allocation
- Rename getRawVal -> getRDValue per reviewer preference
- Add test verifying custom AnyTag data is destroyed through Dict lifecycle
* heed self-review
* don't manually implement vec.insert
* Add test: ExplicitBitVect round-trip through Dict serialization
Exercises the full streamWriteProps/streamReadProps path with an
ExplicitBitVect in an RDProps Dict, confirming the custom handler
is invoked and no memory is leaked (verified under valgrind).
* in anyTag test, assert destructors ran a specific number of times.
---------
Co-authored-by: bddap (Coding Agent) <andrew+bot@dirksen.com>
* implement consistency check
* add more consistency checks
* check direction consistency accross double bond
* clean up directions for non-stereo bonds
* fix counts for second from atom dirs; add check
* handle inconconsistent bond dirs
* add more tests, pubchem cases, and update existing
* drop statics
* fix typo
* make sourceBond arg const
* fix consistency check
* switch the Query infrastructure to use std::function
* add releasenotes mention
* refactor makeAtomInRingOfSizeQuery() to use lambdas and support range queries
* add 'k' atom query to SMARTS
* changes in response to review
V3000 parsing sets aromatic flags on bonds but not atoms. When removeHs
strips an explicit H from nitrogen in an aromatic ring, molRemoveH
checked heavyAtom->getIsAromatic() to decide whether to increment
numExplicitHs — but that flag was always false for V3000-parsed atoms.
Without the explicit H count, the kekulizer cannot distinguish pyrrole N from pyridine N,
causing
"Can't kekulize mol" errors on valid ChemDraw-exported molblocks.
Fix: use isAromaticAtom(), which checks both atom and bond aromatic
flags
* switch the Query infrastructure to use std::function
* add releasenotes mention
* response to review
Removed commented-out function pointer declarations for match and data functions.
* Fix Qt 6.5.8 link failure on macOS due to removed AGL framework
Qt 6.5.8 injects the AGL (Apple Graphics Layer) framework into the
WrapOpenGL::WrapOpenGL imported target's INTERFACE_LINK_LIBRARIES. AGL
was removed from macOS 14+ SDKs, causing a link error when building
MolDraw2DQt on modern macOS:
ld: framework not found AGL
This workaround filters AGL out of WrapOpenGL::WrapOpenGL's link
libraries after find_package(Qt6) populates them. The guard conditions
(APPLE and TARGET WrapOpenGL::WrapOpenGL) make it a no-op on other
platforms and Qt versions that do not create that target.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* Broaden AGL workaround comment to not pin Qt 6.5.8 specifically
The issue may affect other Qt versions, not just 6.5.8.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
---------
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
* add a test
* change stereo bond canonicalization
* update canonicalization watch test with fixed cases
* make canonicalization test stricter (compare CIP codes)
* add reverse symmetry condition
* rewrite double bond canonicalization code
* update tests
* fix multiline comment
* update java tests
* update python test
* nix switchBondDir (unused)
* fix and rename flipBondDir
* refactor comment
* fix shadowed var name, casting
* fix neighbor sorting
* make seen_bonds a vector
* abstract setDirectionFromNeighboringBond
* handle both sides of the bond have directions
* move getNeighboringStereoBond
* check seen_bonds after popping connectedBondsQ
* use references for arguments
* add release note
* add example required by Dan
* add example requested by Dan
* Defer numpy initialization to first use in rdchem, rdmolops, cDataStructs
`from rdkit import Chem` unconditionally bootstrapped numpy (~120ms) via
import_array()/boost::python::numpy::initialize() in module init functions,
even when no numpy-dependent APIs were called. This is costly in cold-start
environments like AWS Lambda.
Move numpy initialization behind lazy guards (static bool + first-call init)
in rdchem.so, rdmolops.so, and cDataStructs.so. Numpy now loads only when
an API that actually needs it is invoked (GetDistanceMatrix, GetPositions,
SetPositions, GetAdjacencyMatrix, ConvertToNumpyArray, etc.).
Also change Conformer::SetPos to accept python::object instead of
np::ndarray to prevent Boost.Python from requiring numpy type conversion
before the lazy guard runs.
Adds test_lazy_numpy.py with subprocess-based tests verifying:
- `from rdkit import Chem` does not load numpy
- SmilesToMol/MolToSmiles work without numpy
- numpy loads on demand when array APIs are called
* skip inchi tests if not available
* switch to threadsafe once_flag, like elsewhere
* finish ifdef style
* switch to magic static style
* Revert "switch to magic static style"
This reverts commit 7300188db7.
