About the naming map

idfkit is one toolkit published as two libraries. The Python package and the JavaScript package read the same EnergyPlus models, and the promise of the pair is that you learn the vocabulary once and spend it in either language. This page is the map between the two spellings. Hand it an operation you already know in one library and it gives you the counterpart in the other, or tells you plainly that there isn't one and why.

It explains the vocabulary rather than documenting it. The API reference says what a function takes and returns; the map says which function to look up, and why its name is the shape it is. Read it once and most lookups afterwards are guesses you barely need to check.

Every name, every difference, and every reason below the generated marker comes from governance/naming.toml in the conformance repository, read at the immutable governance tag this release pins. That same file is what the naming gate in both repositories reads on every pull request, so the page you are reading and the check that guards the libraries cannot disagree. For the capability side of the same governance, which library has what, see the parity ledger.

One concept, one entry

The register records concepts, not names. Each concept appears exactly once, and each entry says how each language spells it. That shape is what makes the map usable in both directions and what makes a missing counterpart visible instead of merely absent.

Every entry is one of three kinds, and the kind tells you how much to trust your instincts:

• Aligned. The two spellings say the same word, differing only by the casing convention of each ecosystem. Guess and you will be right.
• Divergent. The two spellings differ by more than casing, or the same spelling means something different. Every divergent entry carries the reason, and the reason always says why each side is correct where it lives. None of them is a defect awaiting a fix.
• Excluded. The surface exists in one language and will not cross. Excluded is terminal, not a queue: a counterpart appearing in the other language fails the gate.

Exactly one public name per concept per language, too. A second public spelling of one operation is the thing that makes a reader wonder which one is the real one, so the gate fails on it.

Names are decided before they are written

An entry may name something neither library has yet, and that is not an oversight: it is the point. A name decided while a port is underway is decided by one language, under schedule pressure, by whoever got there first. A name decided in the register is decided by both languages, in the open, before any code depends on it.

Registering a name costs nothing on the day it is written down and saves a breaking change later. So the register runs ahead of both libraries, and the notes say which names are reserved rather than callable.

The same reasoning gives every name a budget of exactly one rename. Renames below are spent budgets, not plans.

What the map does not cover

Behaviour. Two libraries can agree perfectly on a name and disagree about what it returns. The conformance corpus is what holds behaviour together, and where the corpus and the register disagree neither wins silently: the disagreement blocks the merge and is resolved by amending whichever is wrong.

Whether a capability exists at all. The map answers "what is this called over there". The parity ledger answers "is it over there at all, and if not, is that for now or for good".

The single-language packages. Two JavaScript-only packages, @idfkit/engine and @idfkit/viewer, have no entry here. Neither is reachable through the shared install name and neither is a capability the other language is missing, so neither belongs on a map of shared vocabulary. Both appear on the parity ledger, where permanent single-language capabilities are recorded as such.

Generated from governance/naming.toml at governance-2026.9, the governance tag this release pins. It governs idfkit and @idfkit/core and @idfkit/weather, and it is read at a pinned governance-YYYY.N tag of idfkit-conformance, never the default branch. Correct the register and regenerate; a correction made on this page would be overwritten, and it would never reach either library's naming gate.

Guessing a name before you look it up

Most counterparts are derivable, and the quickest way to use this page is to guess first and confirm second.

Convert the casing. Python spells a member in snake_case and JavaScript spells it in camelCase. Converting one to the other mechanically gives the right name for the large majority of the register: create_compact_schedule_from_values becomes createCompactScheduleFromValues, with nothing else changed.

Expect acronyms to differ in type names. IDFObject in Python is IdfObject in TypeScript, and the same split runs through every type built on the abbreviation, so the document class is IDFDocument against IdfDocument. PEP 8 capitalises a whole acronym inside a CapWords name; the Google TypeScript style guide treats an abbreviation as an ordinary word. Each is right where it lives, and neither is a candidate for renaming to match the other.

Expect an abbreviation inside a camelCase name to become one word. The rule that gives IdfObject also gives setWwr for Python's set_wwr, and calculateShgc for calculate_shgc.

Read the verb first. One operation carries one verb in both languages, so the verb tells you what a call does to your disk before you have read the rest of the name.

Where the guess fails it fails in one of the ways listed under where the two libraries differ, and each of those is a difference with a reason rather than an oversight. A guess that appears neither in the map nor in that list does not exist: the gate fails on any public name the register cannot resolve, which is what makes the map complete rather than merely long.

The verb vocabulary

These verbs are fixed. A capability that needs one of these operations spells it with the verb below, in the casing of its own ecosystem, and a capability that does something else does not borrow one of them.

Verb	What it means
parse	Read a model out of text already in memory. Never touches a disk.
load	Read a model from a path. The disk-reading counterpart of parse.
write	Serialize a model to text. Returns the text, never writes it.
save	Serialize a model and put it on disk. The disk-writing counterpart of write.
add	Create an object and attach it to the document.
remove	Detach an object from the document.
rename	Change an object's name and repoint every reference to it.
validate	Check a model or an object against its schema and report findings.

The pair worth the most attention is write against save. Both libraries draw the line in the same place: write hands you text and never touches your disk, save puts it on disk. parse against load is the same line drawn on the way in.

The map

The map follows the register's own order, which groups related operations together. A row marked divergent or excluded links to the entry that says why, and a cell reading absent means the operation genuinely has no counterpart in that language.

Parsing, reading, writing, saving

Concept	Python	TypeScript	Kind
parse IDF from a string	parse_idf	parseIdf	aligned
parse epJSON from a string	parse_epjson	parseEpJson	aligned
read IDF from disk	load_idf	loadIdf	aligned
read epJSON from disk	load_epjson	loadEpJson	aligned
serialize IDF to a string	write_idf	writeIdf	aligned
write IDF to disk	save_idf	saveIdf	aligned
serialize epJSON to a string	write_epjson	writeEpJson	aligned
write epJSON to disk	save_epjson	saveEpJson	aligned

Editing a document

Concept	Python	TypeScript	Kind
add an object	add	add	aligned
remove an object	remove	remove	aligned
rename an object	rename	rename	aligned

Validation (registered ahead of the TypeScript implementation)

Concept	Python	TypeScript	Kind
validate a document	validate_document	validateDocument	aligned
validate an object	validate_object	validateObject	aligned
validation result	ValidationResult	ValidationResult	aligned
validation finding	ValidationError	ValidationError	aligned
validation severity	idfkit.validation.Severity	Severity	aligned

Introspection (registered ahead of the TypeScript implementation)

Concept	Python	TypeScript	Kind
describe an object type	idfkit.introspection.describe_object_type	describeObjectType	aligned
object description	ObjectDescription	ObjectDescription	aligned
field description	FieldDescription	FieldDescription	aligned

Documentation URL builders (registered ahead of the TypeScript port)

Concept	Python	TypeScript	Kind
resolved documentation URL	DocsUrl	DocsUrl	aligned
documentation URL for an object type	docs_url_for_object	docsUrlForObject	aligned
I/O reference URL	io_reference_url	ioReferenceUrl	aligned
engineering reference URL	engineering_reference_url	engineeringReferenceUrl	aligned
documentation search URL	search_url	searchUrl	aligned

The declared conformance level

Concept	Python	TypeScript	Kind
declared conformance level	idfkit.CONFORMANCE_LEVEL	CONFORMANCE_LEVEL	aligned

Accepted divergences

Concept	Python	TypeScript	Kind
acronym casing	IDFObject	IdfObject	divergent
the document class	IDFDocument	IdfDocument	divergent
the collection class	IDFCollection	IdfCollection	divergent
the parse error type	IDFParseError	IdfParseError	divergent
every object of a type	doc["Zone"]	doc.all('Zone')	divergent
untyped collection access	IDFDocument.get_collection	absent	excluded
one object, or nothing	col.get(name)	col.get(name)	aligned
one object, or an error	col[name]	col.require(name)	divergent
collection to a sequence	to_list()	toArray()	divergent
an object's type name	obj.obj_type	obj.typeName	divergent
version	doc.version	doc.version	divergent
all input and output	synchronous	asynchronous	divergent

Excluded from alignment

Concept	Python	TypeScript	Kind
eppy compatibility surface	15 names	absent	excluded

Geometry extraction, registered before the second-tier port begins

Concept	Python	TypeScript	Kind
three-dimensional vector	Vector3D	Vector3D	aligned
three-dimensional polygon	Polygon3D	Polygon3D	aligned
read a surface's coordinates	get_surface_coords	getSurfaceCoords	aligned
a zone's origin	get_zone_origin	getZoneOrigin	aligned
a zone's rotation	get_zone_rotation	getZoneRotation	aligned
transform relative coordinates to world coordinates	translate_to_world	translateToWorld	aligned
a surface's area	calculate_surface_area	calculateSurfaceArea	aligned
a surface's tilt	calculate_surface_tilt	calculateSurfaceTilt	aligned
a surface's azimuth	calculate_surface_azimuth	calculateSurfaceAzimuth	aligned

The object model

Concept	Python	TypeScript	Kind
the object class	IDFObject	IdfObject	divergent
an extensible group	idfkit.objects.ExtensibleGroup	ExtensibleGroup	aligned
an object's extensible rows	obj.<extensible key>	obj.extensible	divergent
a view over an object's extensible rows	idfkit.objects.ExtensibleList	absent	divergent
create a new document	new_document	new IdfDocument(schema)	divergent

The reference graph

Concept	Python	TypeScript	Kind
the reference graph	ReferenceGraph	ReferenceGraph	aligned
objects referencing a name	get_referencing	referencingObjects	divergent

Schema access and the version registry

Concept	Python	TypeScript	Kind
load a schema for a version	get_schema	SchemaBundle.load	divergent
the supported version list	ENERGYPLUS_VERSIONS	SchemaBundle.versions	divergent
resolve a version string	find_closest_version	resolveVersion	divergent

Static types generated from the schema

Concept	Python	TypeScript	Kind
generated object types	idfkit._generated_types	@idfkit/types-v26-1	divergent
a version type map	absent	AnyTypeMap	divergent

Diagnostics from a parse

Concept	Python	TypeScript	Kind
a parse diagnostic	idfkit.exceptions.ParseDiagnostic	ParseDiagnostic	aligned
diagnostics from a parse	IDFParseError.diagnostics	ParseResult.diagnostics	divergent

Weather stations, files, and geocoding

Concept	Python	TypeScript	Kind
the station index	StationIndex	StationIndex	aligned
search stations	StationIndex.search	StationIndex.search	aligned
a weather station	WeatherStation	WeatherStation	aligned
download a weather file	WeatherDownloader.download	fetchWeatherFiles	divergent
refresh the station index	absent	refreshStationIndex	divergent
geocode a place name	geocode	geocode	aligned
detect the current location	detect_location	detectLocation	aligned

The rest of the weather surface

Concept	Python	TypeScript	Kind
a text search result	SearchResult	SearchResult	aligned
a proximity search result	SpatialResult	SpatialResult	aligned
which field a text search matched	absent	MatchField	divergent
the station wire record	absent	StationRecord	divergent
the station index wire form	absent	IndexData	divergent

Building the station index, and keeping it fresh

Concept	Python	TypeScript	Kind
great-circle distance between two points	haversine_km	haversineKm	aligned
parse a KML station index	absent	parseKml	divergent
read station metadata from a download URL	absent	parseUrlMetadata	divergent
check the station index for updates	StationIndex.check_for_updates	checkForUpdates	aligned
build an index from index data	absent	indexFromData	divergent
the upstream index file list	absent	INDEX_FILES	divergent
the upstream index base URL	absent	SOURCES_BASE_URL	divergent
fetch a prebuilt station index	absent	loadStationIndex	divergent
the bundled station index	StationIndex.load	loadBundledIndex	divergent

Retrieving the files, and the disk edge

Concept	Python	TypeScript	Kind
download a station's EPW file	WeatherDownloader.get_epw	fetchEpw	divergent
download an EPW file by filename	WeatherDownloader.get_epw_by_filename	fetchEpwByFilename	divergent
download a station's DDY file	WeatherDownloader.get_ddy	absent	divergent
download a DDY file by filename	WeatherDownloader.get_ddy_by_filename	absent	divergent
download a station's archive	absent	fetchWeatherArchive	divergent
the retrieved weather files	WeatherFiles	WeatherFiles	divergent
read a ZIP archive	absent	unzip	divergent
the weather file cache	2 names	absent	excluded

Geocoding, beside geocode a place name and detect the current location

Concept	Python	TypeScript	Kind
a geocoding failure	GeocodingError	GeocodingError	aligned
the geocoding rate limiter	RateLimiter	RateLimiter	aligned
the injectable fetch	absent	FetchLike	divergent
write weather files to disk	absent	saveWeatherFiles	divergent
the written weather file paths	absent	SavedWeatherFiles	divergent

The weather options-object types

Concept	Python	TypeScript	Kind
the weather options-object types	absent	10 names	excluded

The formatting-preserving round-trip (registered ahead of the port)

Concept	Python	TypeScript	Kind
preserve formatting on a round-trip	preserve_formatting	preserveFormatting	aligned

Zone measures, with the geometry extraction group above

Concept	Python	TypeScript	Kind
a zone's floor area	calculate_zone_floor_area	calculateZoneFloorArea	aligned
a zone's volume	calculate_zone_volume	calculateZoneVolume	aligned

Geometry authoring (registered ahead of the port)

Concept	Python	TypeScript	Kind
set the window to wall ratio	set_wwr	setWwr	aligned
rotate a building	rotate_building	rotateBuilding	aligned
translate a building	translate_building	translateBuilding	aligned
scale a building	scale_building	scaleBuilding	aligned
add a shading block	add_shading_block	addShadingBlock	aligned
set default constructions	set_default_constructions	setDefaultConstructions	aligned

Surface matching (registered ahead of the port)

Concept	Python	TypeScript	Kind
intersect and match surfaces	intersect_and_match	intersectAndMatch	aligned
a surface match report	MatchReport	MatchReport	aligned

Zoning (registered ahead of the port)

Concept	Python	TypeScript	Kind
create a zoned block	create_block	createBlock	aligned
a zone footprint	ZoneFootprint	ZoneFootprint	aligned
a zoning scheme	ZoningScheme	ZoningScheme	aligned
link blocks	link_blocks	linkBlocks	aligned

Construction thermal properties (registered ahead of the port)

Concept	Python	TypeScript	Kind
construction thermal properties	ConstructionThermalProperties	ConstructionThermalProperties	aligned
a construction's U-value	calculate_u_value	calculateUValue	aligned
a construction's R-value	calculate_r_value	calculateRValue	aligned
a construction's solar heat gain coefficient	calculate_shgc	calculateShgc	aligned
a construction's layers	get_construction_layers	getConstructionLayers	aligned

Schedules (registered ahead of the port)

Concept	Python	TypeScript	Kind
evaluate a schedule	idfkit.schedules.evaluate	evaluate	aligned
a schedule's values for a year	idfkit.schedules.values	values	aligned
a schedule as a series	to_series	absent	divergent
create a constant schedule	create_constant_schedule	createConstantSchedule	aligned
create a compact schedule	create_compact_schedule_from_values	createCompactScheduleFromValues	aligned
extract special days	extract_special_days	extractSpecialDays	aligned
the holidays in a model	get_holidays	getHolidays	aligned

Output variable selection (registered ahead of the port)

Concept	Python	TypeScript	Kind
read the output variable dictionary	parse_rdd_file	parseRddFile	aligned
an output variable	OutputVariable	OutputVariable	aligned
an output meter	OutputMeter	OutputMeter	aligned
select output variables for a run	prep_outputs	prepOutputs	aligned

Design days and sizing (registered ahead of the port)

Concept	Python	TypeScript	Kind
apply ASHRAE sizing conditions	apply_ashrae_sizing	applyAshraeSizing	aligned
the design day manager	DesignDayManager	DesignDayManager	aligned

Version migration (registered ahead of the port)

Concept	Python	TypeScript	Kind
migrate a model to a newer version	migrate	migrate	aligned
a migration report	MigrationReport	MigrationReport	aligned
a migration step	MigrationStep	MigrationStep	aligned

The command line (registered ahead of the port)

Concept	Python	TypeScript	Kind
the command line entry point	idfkit	idfkit	aligned

Schema compatibility checking (registered ahead of the port)

Concept	Python	TypeScript	Kind
check source compatibility with a version	check_compatibility	checkCompatibility	aligned
diff two schemas	diff_schemas	diffSchemas	aligned
a compatibility diagnostic	idfkit.compat.Diagnostic	Diagnostic	aligned

Plotting simulation results (registered ahead of the port)

Concept	Python	TypeScript	Kind
plot an energy balance	plot_energy_balance	plotEnergyBalance	aligned
plot a temperature profile	plot_temperature_profile	plotTemperatureProfile	aligned
plot comfort hours	plot_comfort_hours	plotComfortHours	aligned
a plotting backend	PlotBackend	PlotBackend	aligned

Permanently single-language surfaces

Concept	Python	TypeScript	Kind
the local simulation surface	19 names	absent	excluded
the vector image surface	9 names	absent	excluded

The error hierarchy

Concept	Python	TypeScript	Kind
the base error type	IdfKitError	absent	divergent
an unknown object type	UnknownObjectTypeError	absent	divergent
an invalid field	InvalidFieldError	absent	divergent
a value outside its range	RangeError	absent	divergent
a duplicate object	DuplicateObjectError	absent	divergent
a version mismatch	VersionMismatchError	absent	divergent
an unsupported version	UnsupportedVersionError	absent	divergent
a schema that cannot be found	SchemaNotFoundError	absent	divergent
a version that cannot be detected	VersionNotFoundError	absent	divergent
a validation that failed	ValidationFailedError	absent	divergent
a migration that failed	MigrationError	absent	divergent
a DDY file with no design days	NoDesignDaysError	absent	divergent
the local simulation error types	3 names	absent	excluded

Version constants and version helpers

Concept	Python	TypeScript	Kind
the newest supported version	LATEST_VERSION	SchemaBundle.latest	divergent
the oldest supported version	MINIMUM_VERSION	absent	divergent
the ASHRAE perimeter depth	ASHRAE_PERIMETER_DEPTH	ASHRAE_PERIMETER_DEPTH	aligned
detect a document version	get_idf_version	getIdfVersion	aligned
detect an epJSON document version	idfkit.epjson_parser.get_epjson_version	getEpJsonVersion	aligned
render a version as text	version_string	absent	divergent
whether a version is supported	is_supported_version	absent	divergent
version string ordering	absent	2 names	excluded

Footprint builders and two-dimensional polygon helpers

Concept	Python	TypeScript	Kind
a rectangular footprint	footprint_rectangle	footprintRectangle	aligned
an L-shaped footprint	footprint_l_shape	footprintLShape	aligned
a T-shaped footprint	footprint_t_shape	footprintTShape	aligned
a U-shaped footprint	footprint_u_shape	footprintUShape	aligned
an H-shaped footprint	footprint_h_shape	footprintHShape	aligned
a courtyard footprint	footprint_courtyard	footprintCourtyard	aligned
a two-dimensional polygon's area	polygon_area_2d	polygonArea2D	aligned
whether a two-dimensional polygon contains a point	polygon_contains_2d	polygonContains2D	aligned
the difference of two two-dimensional polygons	polygon_difference_2d	polygonDifference2D	aligned
the intersection of two two-dimensional polygons	polygon_intersection_2d	polygonIntersection2D	aligned
a model's bounding box	bounding_box	boundingBox	aligned

Zoning and horizontal surface matching, with the groups above

Concept	Python	TypeScript	Kind
a zoned block	ZonedBlock	ZonedBlock	aligned
a horizontal adjacency	HorizontalAdjacency	HorizontalAdjacency	aligned
surface matching options	MatchOptions	MatchOptions	aligned
detect horizontal adjacencies	detect_horizontal_adjacencies	detectHorizontalAdjacencies	aligned
link horizontal surfaces	link_horizontal_surfaces	linkHorizontalSurfaces	aligned
split a horizontal surface	split_horizontal_surface	splitHorizontalSurface	aligned
a zone's ceiling area	calculate_zone_ceiling_area	calculateZoneCeilingArea	aligned
a zone's height	calculate_zone_height	calculateZoneHeight	aligned

Schema objects and the parser object

Concept	Python	TypeScript	Kind
one version's schema	EpJSONSchema	Schema	divergent
the schema source	SchemaManager	SchemaBundle	divergent
the process-wide schema source	get_schema_manager	schemas	divergent
the IDF parser object	IDFParser	absent	divergent
the schema bundle source surface	absent	2 names	excluded
the slimmed schema record types	absent	2 names	excluded
the difference between two schema versions	absent	SchemaDelta	divergent
resolve the schema for a detected version	absent	schemaFor	divergent

TypeScript-only structural surfaces

Concept	Python	TypeScript	Kind
the options-object types	absent	5 names	excluded
the static typing surface	absent	4 names	excluded
the per-type prototype surface	absent	3 names	excluded
the object-model value types	absent	4 names	excluded
the lexer surface	absent	4 names	excluded

Remaining single-language names on the JavaScript side

Concept	Python	TypeScript	Kind
a reference edge	absent	ReferenceEdge	divergent
an epJSON document value	absent	EpJson	divergent
serialize one object	absent	writeObject	divergent
serialize a document to an epJSON value	absent	toEpJson	divergent
read IDF from disk, keeping diagnostics	absent	loadIdfWithDiagnostics	divergent

The document's own members

Concept	Python	TypeScript	Kind
the path a document was read from	IDFDocument.filepath	absent	divergent
strict field access	IDFDocument.strict	absent	divergent
a document's schema	IDFDocument.schema	IdfDocument.schema	aligned
the concrete syntax tree	IDFDocument.cst	absent	divergent
the original source text	IDFDocument.raw_text	absent	divergent
every collection in a document	IDFDocument.collections	absent	divergent
a document's reference graph	IDFDocument.references	IdfDocument.references	aligned
the object types present in a document	IDFDocument.keys	types	divergent
every non-empty collection	IDFDocument.values	absent	divergent
every object type and its collection	IDFDocument.items	absent	divergent
an object's outgoing references	IDFDocument.get_references	referencedBy	divergent
a model's schedules by name	IDFDocument.schedules_dict	absent	divergent
one schedule by name	IDFDocument.get_schedule	getSchedule	aligned
the schedules a model uses	IDFDocument.get_used_schedules	getUsedSchedules	aligned
a zone's surfaces	IDFDocument.get_zone_surfaces	getZoneSurfaces	aligned
every object in a document	IDFDocument.all_objects	objects	divergent
an object's name changed	IDFDocument.notify_name_change	onNameChanged	divergent
an object's field changed	IDFDocument.notify_reference_change	onFieldChanged	divergent
copy a document	IDFDocument.copy	IdfDocument.copy	aligned
run the ExpandObjects preprocessor	IDFDocument.expand	absent	excluded
second Python spellings of a registered concept	4 names	absent	excluded

Remaining top-level Python names

Concept	Python	TypeScript	Kind
migrate a model without blocking	async_migrate	absent	divergent
create schedule type limits	create_schedule_type_limits	createScheduleTypeLimits	aligned

What the notes add

Some names carry a note the tables cannot hold. Notes are grouped here, so a note that applies to many names is stated once. "Registered before it is written" means exactly that: the name is decided and reserved, and the implementation follows it rather than the other way round.

parse epJSON from a string

The casing of the format name follows each ecosystem's rule for the rest of the identifier, so Python's single-case snake_case gives epjson and TypeScript's camelCase gives EpJson. Both recover the same word.

read IDF from disk, read epJSON from disk

TypeScript exports this from @idfkit/core/node, the async edge; see the I/O entry.

serialize IDF to a string

Python's write_idf keeps its spelling through the rename batch and loses only its filepath parameter and the three @overload stanzas that parameter forced. The disk-writing half moves to save_idf, so the string-serializing name is unchanged and its rename count stays at 0.

write IDF to disk

Python's rename count is 1: this operation was spelled write_idf(doc, filepath) before the rename batch. TypeScript already exports saveIdf from @idfkit/core/node and does not change. Python's save_idf does not exist yet at the time this entry is registered; it is written by the rename batch under this name.

serialize epJSON to a string

Same construction and same reasoning as the IDF pair above.

write epJSON to disk

Python's rename count is 1, for the same reason as save_idf: this operation was spelled write_epjson(doc, filepath). save_epjson is written by the rename batch under this name.

add an object

IDFDocument.add(obj_type, name, **fields) against IdfDocument.add(type, name, values). The keyword-argument form is idiomatic Python and has no TypeScript equivalent, so the field values arrive as an object literal there. Same verb, same argument order, same result.

remove an object

Python spells it IDFCollection.remove(obj); TypeScript spells it IdfDocument.remove(obj). The receiver differs because Python reaches a collection through doc["Zone"] and TypeScript through doc.all('Zone'), which is the operator divergence recorded below, not a second verb.

rename an object

The two signatures differ: Python's IDFDocument.rename(obj_type, old_name, new_name) against TypeScript's IdfDocument.rename(obj, next).

Both languages support obj.name = new, which is unambiguous in either, needs no object-type argument, and repoints every reference in both implementations. That assignment is the PRIMARY PATH and is what the documentation teaches on both sides. The method signatures are left alone rather than forced into agreement: aligning them would rename a working method for a gain the assignment form already delivers, and would spend a rename budget on syntax no reader has to use. Recorded per research R14.

validate a document

Registered before it is written. The TypeScript side does not exist at registration time; the Tier 1 port writes it under this name, into idfkit-js/packages/core/src/validate/. Naming an unwritten capability costs nothing now and is breaking later, which is the entire reason for FR-007.

validate an object

Registered before it is written, with validate_document.

validation result

Registered before the TypeScript type is written. No acronym, so no casing divergence.

validation finding

Registered before the TypeScript type is written. The name says Error and the type is a record, not a thrown exception: a finding carries a severity and a location and is collected into a ValidationResult. Both languages keep the existing Python spelling rather than improving it here, because renaming it would spend a rename budget on a type the port has not yet shipped.

validation severity

Registered before the TypeScript type is written. Python reaches it at idfkit.validation.Severity rather than through the top-level __all__; the values are error, warning, info and the TypeScript port renders the same three strings.

describe an object type

Registered before it is written, into idfkit-js/packages/core/src/introspect/. Python reaches it at idfkit.introspection.describe_object_type and through IDFDocument.describe(obj_type); the module-level function is the registered name.

object description

Registered before the TypeScript type is written. Same field set on both sides.

field description

Registered before the TypeScript type is written. Same field set and constraints on both sides.

resolved documentation URL

Registered before the TypeScript type is written. Carries url, doc_set, version, and label in Python; the TypeScript port spells the field docSet and keeps the rest, which is the field-name casing rule rather than a divergence in the type.

documentation URL for an object type

Registered before it is written, into idfkit-js/packages/core/src/docs-url/.

I/O reference URL

Registered before it is written. io stays lowercase in TypeScript by the same rule that gives IdfObject.

engineering reference URL, documentation search URL, a surface's area, rotate a building, translate a building, scale a building, add a shading block, set default constructions, link blocks, a construction's U-value, a construction's R-value, a construction's layers, create a constant schedule, create a compact schedule, extract special days, the holidays in a model, select output variables for a run, diff two schemas, plot an energy balance, plot a temperature profile, plot comfort hours, whether a two-dimensional polygon contains a point, the intersection of two two-dimensional polygons, split a horizontal surface

Registered before it is written.

declared conformance level

The conformance-YYYY.N tag of this repository that the release passes. A constant, not a function, in both languages, and a string in both, so the two claims compare directly.

Each side reads it from one place rather than restating it, so the declaration and the pin cannot diverge: Python from [tool.idfkit.conformance] level in pyproject.toml, TypeScript from idfkit.conformance in packages/core/package.json. Registered here so that the export passes the naming gate on the change that adds it.

Screaming snake case is the constant convention in both ecosystems, so this name is identical on both sides rather than merely aligned.

one object, or nothing

Returns None in Python and undefined in TypeScript, each language's own absent value.

three-dimensional vector

Registered before the TypeScript type is written. 3D is a numeral and a letter rather than an acronym, so the casing rule that splits IDFObject from IdfObject does not apply and the two names are identical.

three-dimensional polygon

Registered before the TypeScript type is written. Carries normal, area, centroid, tilt, azimuth, is_horizontal, and is_vertical in Python; the TypeScript port spells the two predicates isHorizontal and isVertical by the field-casing rule and keeps the rest.

read a surface's coordinates

Registered before it is written. Returns the surface's Polygon3D, or the absent value when it has no vertices.

a zone's origin

Registered before it is written. Returns a Vector3D.

a zone's rotation

Registered before it is written. Returns degrees about the vertical axis.

transform relative coordinates to world coordinates

Registered before it is written. The one member of this group that mutates the document: it rewrites relative surface coordinates in place and updates GlobalGeometryRules. It is registered with the extraction group because every calculation below depends on knowing which coordinate system it is reading.

a surface's tilt

Registered before it is written. Degrees, using the EnergyPlus convention.

a surface's azimuth

Registered before it is written. Degrees clockwise from north, using the EnergyPlus convention.

an extensible group

One row of a repeated field group, for example a single vertex inside a surface's vertex list. Python reaches it at idfkit.objects.ExtensibleGroup rather than through the top-level __all__; TypeScript exports the type from @idfkit/core. No acronym, so no casing divergence.

The accessor that hands these rows out is the next entry, and unlike the row type it does NOT align.

the reference graph

Exported by both libraries under the same name. No acronym, so no casing divergence.

a parse diagnostic

One finding from a parse: a message, a location, and a severity. Python reaches it at idfkit.exceptions.ParseDiagnostic rather than through the top-level __all__.

the station index

Both libraries ship their own index and neither retrieves one to get started (FR-043, FR-075).

search stations

Same receiver, same name, same argument, and SearchResult on both sides.

a text search result

One hit from StationIndex.search: the station, a relevance score from 0 to 1, and the field that matched. Identical names, and the field carrying the last of the three is spelled match_field in Python and matchField in TypeScript by the field-casing rule. Python reaches the type at idfkit.weather.SearchResult rather than through the top-level __all__.

a proximity search result

One hit from StationIndex.nearest: the station and its great-circle distance, distance_km in Python and distanceKm in TypeScript. Same construction and same reasoning as a text search result above.

great-circle distance between two points

The Haversine formula over four decimal degrees, in kilometres. Both sides use the same 6371 km radius and the same clamp before the asin, so nearest orders a query identically in either library. Python reaches it at idfkit.weather.spatial.haversine_km.

check the station index for updates

The same operation under corresponding names: send HEAD requests for the upstream KML files, compare Last-Modified against the values the index was built with, and answer false when the index carries none or the probe cannot be completed.

The receiver differs and the names do not. Python hangs it on the index, because the index it compares against is the one it is called on. TypeScript takes the index as an argument, because everything reaching the network there is a free function taking an overridable fetch. That is the download a weather file divergence, not a second name for this operation.

Python also fires this check by itself from StationIndex.load, at most once a day. That nudge has no TypeScript counterpart, for the reason refresh the station index above gives, and the parity ledger records the consequence under weather-index.

a geocoding failure

Identical names, and one of the few failures the JavaScript side throws rather than returns: an address that resolves to nothing leaves no partial answer to hand back, so there is no value for the failure to be. Python reaches it at idfkit.weather.GeocodingError.

the geocoding rate limiter

Nominatim asks callers to stay under one request per second, and both libraries hold to it with an object of this name carrying a minimum interval, a wait, and a reset. The implementations differ as the languages do: Python takes a lock, because threads exist there, and TypeScript chains a promise, because they do not.

Public on both sides and advertised on neither. Python reaches it at idfkit.weather.geocode.RateLimiter rather than through the sub-package's __all__, the same shape as idfkit.exceptions.ParseDiagnostic. Registered so that the two spellings cannot drift apart, not as a promise that either is prominent.

preserve formatting on a round-trip

An option, not a function: load_idf(path, preserve_formatting=True) builds a concrete syntax tree that write_idf reproduces, and load_epjson retains the raw JSON text the same way. Registered before the TypeScript side is written; the parity ledger records the absence as Tier 2 under lossless-round-trip. Registering the option name now costs nothing and is breaking later.

a zone's floor area

Registered before it is written, with the geometry extraction group above. Read-only, like the rest of that group.

a zone's volume

Registered before it is written, with the geometry extraction group above.

set the window to wall ratio

Registered before it is written. wwr stays lowercase in TypeScript by the same rule that gives IdfObject.

intersect and match surfaces

Registered before it is written. Python currently exports a second public name for the same operation, intersect_match, which FR-005 prohibits; that duplicate is resolved by the change that withdraws it, not here, and this entry records the surviving name.

a surface match report, a zone footprint, a zoning scheme, an output variable, an output meter, a migration report, a migration step

Registered before the TypeScript type is written.

create a zoned block

Registered before it is written, into the reserved @idfkit/geometry package.

construction thermal properties

Registered before the TypeScript type is written. Produced by get_thermal_properties in Python.

a construction's solar heat gain coefficient

Registered before it is written. shgc is an abbreviation, so TypeScript writes it as one word by the same rule that gives IdfObject, and Python keeps the lowercase run its snake_case gives.

evaluate a schedule

Registered before it is written. One value at one instant.

a schedule's values for a year

Registered before it is written. The whole year at a chosen timestep.

read the output variable dictionary

Registered before it is written. Python reaches it at idfkit.simulation.parsers.rdd.parse_rdd_file and pairs it with parse_mdd_file for the meter dictionary.

apply ASHRAE sizing conditions

Registered before it is written. ashrae is an abbreviation, so TypeScript writes it as one word by the same rule that gives IdfObject.

the design day manager

Registered before the TypeScript type is written. Reads a DDY file and injects design days into a model.

migrate a model to a newer version

Registered before it is written. Python pairs it with async_migrate; the TypeScript port is async by construction.

the command line entry point

The console script name, not a module member. Python installs it from idfkit.compat._cli:main with the check and migrate subcommands. Registered before the JavaScript side is written so that a port cannot land under a different command name; the parity ledger records the absence as Tier 3 under command-line.

check source compatibility with a version

Registered before it is written. Python reaches it at idfkit.compat.check_compatibility.

a compatibility diagnostic

Registered before the TypeScript type is written. Distinct from a parse diagnostic: this one reports a source construct that will not hold against another EnergyPlus version, and it carries one of DIAGNOSTIC_CODES.

a plotting backend

Registered before the TypeScript type is written. Python selects one with get_default_backend.

the ASHRAE perimeter depth

Registered before it is written, with the zoning group. The default perimeter depth used when a footprint is split into core and perimeter zones, 4.57 m, which is 15 feet in the ASHRAE source. Screaming snake case is the constant convention in both ecosystems, so this name is identical on both sides rather than merely aligned, the same as CONFORMANCE_LEVEL. The abbreviation stays fully capitalised in TypeScript because that is what the constant convention does to every letter, which is why this does not contradict the rule that gives applyAshraeSizing.

detect a document version

Read the EnergyPlus version out of an IDF document without a schema. Both sides exist and both are the minimum scan needed to break the chicken-and-egg between choosing a schema and reading the version that selects it.

TypeScript's rename count is 1. The package shipped this as detectVersion; it becomes getIdfVersion, which settles the get against detect conflict in favour of get, the verb the register already uses for every accessor pair it has decided: get_surface_coords to getSurfaceCoords, get_zone_origin to getZoneOrigin, get_construction_layers to getConstructionLayers. The new name also says which format it reads, which the old one did not, and which matters now that getEpJsonVersion sits beside it. Python's get_idf_version is unchanged and its count stays 0.

DECIDED 2026-09-02. The rename lands in the T061 to T069 batch, with the rest of the batch, and is breaking for anyone importing detectVersion from @idfkit/core@0.1.0.

The signatures are not identical and are not being aligned: Python's takes a path and returns tuple[int, int, int], TypeScript's takes IDF text and returns string | undefined. That is the version type divergence and the input and output divergence, both already recorded, and the string is canonical across the boundary.

detect an epJSON document version

The epJSON counterpart of detect a document version, and it is named here so that the pair cannot drift apart later.

TypeScript's rename count is 1. The package shipped this as detectEpJsonVersion; it becomes getEpJsonVersion with detectVersion, in the same batch and for the same reason. DECIDED 2026-09-02, landing in the T061 to T069 batch, and breaking for anyone importing detectEpJsonVersion from @idfkit/core@0.1.0.

Python's get_epjson_version already carries the settled spelling and its count stays 0. It is reached at idfkit.epjson_parser.get_epjson_version rather than through the top-level __all__, which is the same shape as idfkit.introspection.describe_object_type and idfkit.schedules.evaluate. Promoting it to the top level would be additive and is not part of this feature; whether or not that happens, the name is fixed here.

The casing of the format name follows each ecosystem's rule for the rest of the identifier, so Python gives epjson and TypeScript gives EpJson, exactly as parse_epjson against parseEpJson.

a rectangular footprint

Registered before it is written. Returns the plan outline as a list of two-dimensional points.

an L-shaped footprint

Registered before it is written. The single letter is a word of the name in both languages, so Python's snake_case separates it and TypeScript's camelCase capitalises it.

a T-shaped footprint, a U-shaped footprint, an H-shaped footprint

Registered before it is written, with the other lettered footprints.

a courtyard footprint

Registered before it is written. A rectangular outline with a rectangular hole.

a two-dimensional polygon's area

Registered before it is written. Signed area, so the sign reports the winding direction.

the difference of two two-dimensional polygons

Registered before it is written. Returns the possibly several pieces the subtraction leaves.

a model's bounding box

Registered before it is written. The plan extent of every surface in the model, or the absent value when the model has no coordinates to bound.

a zoned block

Registered before the TypeScript type is written. What create_block produces, with the zoning group above.

a horizontal adjacency

Registered before the TypeScript type is written. One ceiling-and-floor pair found between two stories.

surface matching options

Registered before the TypeScript type is written. The tolerances intersect_and_match works to, beside MatchReport.

detect horizontal adjacencies

Registered before it is written. The verb is detect rather than get because the operation searches: it compares outdoor horizontal surfaces across stories and reports the overlaps it finds, which is not an accessor. That distinction is what detect a document version gives up by becoming getIdfVersion, and it is why the two are not the same case.

link horizontal surfaces

Registered before it is written. Sets each of a ceiling and floor pair as the other's outside boundary.

a zone's ceiling area

Registered before it is written, with calculate_zone_floor_area and calculate_zone_volume.

a zone's height

Registered before it is written, with the other zone measures.

a document's schema

The schema the document was parsed against. Python's is EpJSONSchema | None, because a document can be built without one; TypeScript's is a required Schema, because its constructor takes one. Same name, same meaning, and the optionality difference follows from create a new document.

a document's reference graph

The live ReferenceGraph for the document, under the same name on both sides. The queries hung on it differ, which is recorded separately under objects referencing a name and an object's outgoing references; the accessor itself does not.

one schedule by name

Registered before the TypeScript side is written, with the schedules group above. Case-insensitive, because EnergyPlus resolves names that way, and returns the language's own absent value on a miss: None in Python, undefined in TypeScript, as one object, or nothing records.

the schedules a model uses

Registered before the TypeScript side is written, with the schedules group above. The names of schedules something in the model actually references, answered from the reference graph rather than by scanning.

a zone's surfaces

Registered before the TypeScript side is written, with the geometry group above, whose get_* to get* pairing it follows.

copy a document

Registered before the TypeScript side is written. A deep, independent copy, which is what makes parametric work possible without reparsing the baseline. Python preserves the strict mode on the copy; the TypeScript port has no such mode to preserve.

create schedule type limits

Registered before it is written, with the schedule builders above.

Where the two libraries differ, and why

Each difference below stays. None is a defect and none is a candidate for a future rename: forcing either spelling onto the other language makes it wrong there, and wrong in a way that language's readers would feel on every line.

Acronym casing

Python	TypeScript
IDFObject	IdfObject

PEP 8 capitalises every letter of an acronym inside a CapWords name, which gives IDFObject. The Google TypeScript style guide treats an abbreviation as an ordinary word, which gives IdfObject. Each spelling is the correct one in its own ecosystem, and forcing either onto the other makes it wrong there and inconsistent with every neighbouring library its users already read.

The rule, not the single name: this governs IDF* against Idf* across both surfaces.

The document class

Python	TypeScript
IDFDocument	IdfDocument

The acronym casing rule above. TypeScript's rename count is 1: the package shipped IDFDocument alongside IdfObject, IdfCollection, and IdfParseError, so the old spelling contradicted both its own neighbours and the Google rule. The rename batch fixes it, once.

Breaking for anyone importing IDFDocument from @idfkit/core@0.1.0. Recorded in the changelog as such.

The collection class

Python	TypeScript
IDFCollection	IdfCollection

The acronym casing rule above. Both sides already spell it correctly for their ecosystem.

The parse error type

Python	TypeScript
IDFParseError	IdfParseError

The acronym casing rule above. Both sides already spell it correctly for their ecosystem.

Every object of a type

Python	TypeScript
doc["Zone"]	doc.all('Zone')

Python has operator overloading and __getitem__ is the idiomatic spelling of keyed access; TypeScript has no such operator, and an index signature on a class cannot carry the generic return type that makes the call statically checked against the generated type map. all() is a method because it has to be, and it is typed because that is the point of the type maps.

This is a syntactic divergence forced by the languages, not a naming disagreement, so neither side is a candidate for renaming to match the other.

One object, or an error

Python	TypeScript
col[name]	col.require(name)

Same reason as doc["Zone"]: Python spells throwing lookup with the subscript operator, which raises KeyError on a miss and is what every Python reader expects of []. TypeScript has no operator that can throw here, so the throwing variant needs a name, and require says what it does at the call site.

The contract is identical on both sides, and identical to get except for the miss: get returns the absent value, this raises.

Collection to a sequence

Python	TypeScript
to_list()	toArray()

The sequence type is named differently by the two languages. Python's is list and to_list is the conventional spelling; JavaScript's is Array and toArray matches Array.from, toSorted, and every neighbouring API. Renaming either to the other's word would name a type that does not exist in that language.

An object's type name

Python	TypeScript
obj.obj_type	obj.typeName

Python's obj_type avoids shadowing the builtin type, which is the standard Python workaround and reads naturally in snake_case. TypeScript has no such collision, and typeName is clearer than objType in a language where type is a keyword only in type position. Both name the same string, the EnergyPlus object type as the schema spells it.

Version

Python	TypeScript
doc.version	doc.version

Python returns tuple[int, int, int], for example (26, 1, 0). TypeScript returns string, for example "26.1.0".

This is worse than a rename and is recorded rather than reconciled. The name is identical, the prose describing it is identical, and the value behaves differently, so code written from one side's documentation compiles against the other and is wrong at runtime. Each language keeps its idiomatic type: Python's tuple compares and sorts correctly with no helper, which is why LATEST_VERSION, MINIMUM_VERSION, and find_closest_version are all tuples; TypeScript has no comparable tuple literal and its schema keys, resolveVersion, compareVersions, and versionKey are all strings already.

The STRING is canonical for anything crossing the boundary, because IDF text, epJSON, and the schema keys are strings already. Python renders it with the module-level version_string(version). That is a function, not a property: there is no doc.version_string, and asking for one raises.

WHAT THE CORPUS ACTUALLY PROVES, because an overstatement here is worse than a silence. The case is cases/versions-canonical-string. It asserts that the version identifier a file carries survives verbatim into the canonical epJSON in both libraries, which pins the text form where a version crosses the boundary inside a document. It does NOT call either accessor. None of the three shipping assertions reads doc.version or renders it, so the two libraries could disagree about what the accessor returns, or about what version_string renders, and every assertion would stay green. The case states that limit itself, in its own why, so this entry is not reading against it.

Closing the gap needs an observation the case format cannot express: a check that calls the accessor on both sides and compares the rendered strings. The corpus reserves checks/ for precisely that and has no member in it yet. Until one exists, this divergence is documented and only partly tested, and this entry says so rather than claiming a proof the corpus does not carry (FR-004, SC-004).

Canonical form across the boundary: string.

No signature changes anywhere. This entry is documentation and a partial corpus case, not a rename.

Nothing here is a claim about writer OUTPUT. Written from the same document, the two libraries produce IDF text that differs in indentation, object ordering, number rendering, the generator header, field-comment casing, and the comment on each extensible repeat. That is a behaviour difference rather than a naming one, so it is recorded where behaviour differences belong: the parity ledger's write capability, which lists every one of them and states that no corpus assertion covers any of them.

All input and output

Python	TypeScript
synchronous	asynchronous

Python's file API is synchronous, its ecosystem is synchronous by default, and load_idf(path) returning a document is what every Python reader expects. TypeScript's core is deliberately synchronous and pure so that it runs unchanged in a browser, a worker, or an edge runtime; every operation that touches a disk or a network is therefore pushed to @idfkit/core/node and is async, which is the only shape a portable core can have without forcing node:fs into browser bundles.

Making Python async would be wrong for its ecosystem; making the TypeScript core sync would either break the browser target or force the whole portable surface to be async just in case. The split is the design, not an accident.

The verb pairs still align across the boundary: parse and write are sync and pure in BOTH languages, and only load and save differ by being awaited in TypeScript.

The object class

Python	TypeScript
IDFObject	IdfObject

The acronym casing rule recorded above, which names this very pair as its exemplar. Both sides already spell it correctly for their ecosystem, and neither is a candidate for renaming to match the other.

The acronym casing entry states the rule; this entry is the class it governs, so that the object class has a concept of its own in the same way the document class, the collection class, and the parse error type each do.

An object's extensible rows

Python	TypeScript
obj.<extensible key>	obj.extensible

The two libraries disagree about the SHAPE of the access, not only about its spelling: Python has one named accessor per extensible type, TypeScript has one generic getter for all of them. Neither could take the other's form without becoming wrong in its own ecosystem, so this is recorded rather than reconciled.

Python names the rows after the field group that holds them. The schema gives every extensible type one wrapper key, and Python exposes that key as an attribute: surface.vertices, schedule.data, branchlist.branches. Each returns an ExtensibleList view over the underlying list, and the generated stubs narrow the item type per object, so surface.vertices is typed ExtensibleList[BuildingSurfaceVertex] and an IDE completes vertex_x_coordinate on each row. Collapsing that to a single generic accessor would throw the narrowing away and would read as a foreign word in a language whose objects already answer to their own field names.

TypeScript exposes obj.extensible, returning ExtensibleGroup[]: the underlying array itself, so pushing to it mutates the object. Generic is the only shape available there, because the type parameterisation lives elsewhere. A document carries a type map, the per-object field names come from @idfkit/types-v26-1 or its sibling, and the default is UntypedMap, where a row is Record<string, string | number> and no per-key accessor could be typed at all. Generating one accessor per EnergyPlus type per version onto the object class is the 5.3 MB of type maps the core deliberately does not carry (FR-039, FR-040).

Registered here because it was missing, not because anything changed. The row type above aligns and the accessor never did, and a name absent from this file is not finished (Constitution I, SC-001). Neither spelling moves: rename_count stays at 0 on both sides.

The return values differ with the accessors. Python's ExtensibleList is a view supporting indexing, iteration, append, insert, delete, pop, clear, extend, equality, and bulk replace, and it bumps the owner's mutation version on every write. TypeScript hands back the live array and needs no wrapper type to do it.

Python's obj[wrapper_key] reaches the same rows and is not a second public name for the concept (FR-005). It is the ONLY path for the types whose wrapper key collides with a property of the object, Schedule:Day:Interval and Schedule:Compact both spelling theirs data; for every other type it resolves to the attribute above. Subscript syntax, not a second word.

A view over an object's extensible rows

Python	TypeScript
idfkit.objects.ExtensibleList	absent

Python names this type because its accessor returns a view rather than the rows themselves: ExtensibleList is a live window onto the owning object's field storage, generic in the row type so surface.vertices narrows to ExtensibleList[BuildingSurfaceVertex]. The view has to be a named class because it has to exist: something must hold the owner, the wrapper key, and the inner field names, and must write back through to the object when a row is assigned.

TypeScript has nothing to name. obj.extensible hands back the underlying ExtensibleGroup[] array itself, so the language's own array type already is the view and pushing to it mutates the object. Introducing a wrapper class there would add a layer that Python needs only because its accessor cannot return storage directly.

Registered because the row type (an extensible group) and the accessor (an object's extensible rows) both are, and the return type sitting between them was the only part of the mechanism absent from this file. Nothing changed; it was missing (Constitution I, SC-001).

ExtensibleList is reached at idfkit.objects.ExtensibleList, and is in that module's __all__.

Create a new document

Python	TypeScript
new_document	new IdfDocument(schema)

Python offers a module-level factory because the constructor needs a loaded schema the caller would otherwise fetch itself, and because loading a schema in Python is synchronous, so the factory can do it. new_document() also seeds the baseline singletons a usable model needs: Version, Building, SimulationControl, and GlobalGeometryRules.

TypeScript loads a schema asynchronously from a BundleSource, and a constructor cannot await, so the caller loads the schema first and hands it over. A synchronous factory is not available to write there, which makes new both the idiomatic and the only possible spelling. This is the input and output divergence recorded above, seen from the construction side.

Objects referencing a name

Python	TypeScript
get_referencing	referencingObjects

The receiver carries the difference, not the operation. Python hangs the query on the document, IDFDocument.get_referencing(name), because the graph is reached through the document there. TypeScript exposes the graph itself as doc.references and hangs the query on it, doc.references.referencingObjects(name), where repeating the word would read as references.getReferencing. Each spelling says exactly what its receiver does not already say, and aligning them would make one of the two stutter.

Load a schema for a version

Python	TypeScript
get_schema	SchemaBundle.load

Python ships every schema inside the package and reads it from disk synchronously, so a module-level get_schema(version) is enough and is what a Python reader expects. TypeScript cannot assume a filesystem: a browser fetches the bundle over HTTP and a bundler-driven app resolves it through import(), so the caller constructs a SchemaBundle over a BundleSource and loads from that. The operation is a method on the object that owns the source because there is no process-wide source that would let it be a free function. This is the input and output divergence recorded above.

The supported version list

Python	TypeScript
ENERGYPLUS_VERSIONS	SchemaBundle.versions

Python's supported set is a constant because the schemas ship with the package, so the answer is known at import time. TypeScript's depends on which bundle the caller supplied, so it can only be a query on that bundle, and it is asynchronous for the same reason SchemaBundle.load is. A constant there would name a set the library does not control.

Python's members are version tuples and TypeScript's are strings, which is the version divergence recorded above. The string is canonical for anything crossing the boundary.

Canonical form across the boundary: string.

Resolve a version string

Python	TypeScript
find_closest_version	resolveVersion

Both answer the same question: given a version the caller has in hand, which supported release should the model be read as. Python's takes the version tuple and consults the constant list, and closest names what it does when the exact release is not supported. TypeScript's takes the detected string and the list the bundle reports, so both are arguments, and resolve names the same operation over the string form that is canonical across the boundary.

Neither signature exists in the other language, so neither name is a candidate for renaming to match: the Python name would describe a search over a list TypeScript does not have, and the TypeScript name would describe a resolution Python does not perform.

Generated object types

Python	TypeScript
idfkit._generated_types	@idfkit/types-v26-1

Python generates one stub set at a time, ships it for the newest EnergyPlus release, and applies it implicitly to every document through idfkit/document.pyi. TypeScript emits one type map per version and the caller parameterises the document with the map for the version being read, so an older model is typed as that older model or is left untyped.

Each mechanism is the one its type checker allows. Python cannot select a stub set per value, so an implicit set is the only thing available; TypeScript has generics, so an opt-in map is both possible and necessary for version-generic code. The consequence for a reader is recorded in the parity ledger under generated-object-types rather than left here.

The TypeScript name was @idfkit/core/types until the maps were split out of core, which took @idfkit/core from 7.2 MB to 285 KB and made the types an opt-in install. There is one package per EnergyPlus version, @idfkit/types-v26-1 and @idfkit/types-v9-4 today, and this entry names the package per EnergyPlus version: @idfkit/types-v26-1 and @idfkit/types-v9-4 today.

This entry names one of those packages rather than a @idfkit/types-* pattern, because the gate resolves a registered name against the public surface and a pattern matches nothing. It was tried: the gate reports "registered as @idfkit/types-* with a rename already spent, and no such name is public", which is the correct answer.

Naming one version does not put the entry on a treadmill. @idfkit/types-v26-1 stays published and resolvable once it exists, so a later @idfkit/types-v26-2 is an addition and not a rename, and this entry never needs touching again. That matters here because rename_count is a budget of one and this entry has now spent it: a second change would need an amendment reviewed by both languages, whatever its merits.

Those packages are deliberately outside governs. They hold roughly 1,676 generated interface names, one per EnergyPlus object type, which are schema output rather than designed vocabulary. The register governs names somebody chose; putting these inside it would demand a register entry per EnergyPlus object and say nothing about whether the two libraries agree. The naming gate counts them as outside the governs list and does not fail, which is the intended behaviour and not an oversight.

A version type map

Python	TypeScript
absent	AnyTypeMap

Absent from Python, and correctly so. TypeScript names the map because the caller selects one and passes it as a type argument. Python's stubs apply to every document with nothing for a caller to select, so there is no value and no type to name, and a Python counterpart would name a choice the Python type checker cannot express.

Diagnostics from a parse

Python	TypeScript
IDFParseError.diagnostics	ParseResult.diagnostics

Python raises and TypeScript returns. IDFParseError carries the diagnostics that stopped the parse, which is how a Python caller expects to meet a failure it must handle, and the recoverable findings go to the logging module. TypeScript's parseIdf returns a ParseResult whose diagnostics array holds the non-fatal findings alongside the document, because a throwing parser in a browser costs the caller the partial document it could still show.

Each is idiomatic where it lives. The difference is visible to a reader, so the parity ledger records it under parse-diagnostics and the corpus asserts what each side reports for a malformed case.

Download a weather file

Python	TypeScript
WeatherDownloader.download	fetchWeatherFiles

Python's downloader is an object because it owns state a Python caller expects it to own: a cache directory, its own session, and the settings that govern both. TypeScript's is a free function because it owns none of that. It reaches the network through the global fetch, which the caller overrides per call, and it caches nothing, so there is no instance for a method to hang on and fetch names the platform primitive a JavaScript reader already knows.

The packaging and freshness consequences are recorded in the parity ledger under weather-index.

Refresh the station index

Python	TypeScript
absent	refreshStationIndex

Absent from Python because Python does it without being asked. StationIndex.load() probes upstream at most once every 24 hours, warns when the bundled or cached index is behind, records the check under the cache directory, and is turned off with IDFKIT_NO_WEATHER_UPDATE_CHECK, so a Python caller needs no name for the operation.

JavaScript has no writable cache directory to throttle against in a browser, so the same nudge cannot exist there. It exposes the refresh explicitly instead and does nothing on its own. A Python counterpart would be a second public path to something already automatic, which FR-005 prohibits.

Which field a text search matched

Python	TypeScript
absent	MatchField

The same six strings on both sides: wmo, name, state, country, filename, and the empty string for no match. TypeScript names the union because it appears in a checked signature, on SearchResult.matchField, so a switch over it is exhaustive and a misspelled case is a compile error.

Python annotates SearchResult.match_field as str and documents the same values on the field itself. A Literal alias there is a fair thing to want and is additive rather than part of this feature, so this is recorded as a divergence rather than as an exclusion: it is a name Python may grow later, not one it must never have. Registering the TypeScript spelling fixes it either way.

The station wire record

Python	TypeScript
absent	StationRecord

One station as stations.json.gz stores it, with the snake_case keys both libraries read and write, so that an index refreshed by either side loads in the other. TypeScript names the record because WeatherStation.fromJSON and toJSON carry it in their signatures, and because those keys deliberately do not match the camelCase class they convert to, which is exactly the mismatch a checked type is for.

Python moves the same content through WeatherStation.to_dict and from_dict as dict[str, Any]. A TypedDict there would add real checking, so this too is a divergence rather than an exclusion.

The station index wire form

Python	TypeScript
absent	IndexData

The whole serialized index: when it was built, the upstream Last-Modified values it was built against, and the array of station records. TypeScript names it because indexFromData takes it and loadStationIndex parses into it, so a caller that fetched or imported the JSON itself hands over a value the compiler has checked.

Python reads the same file inside StationIndex.load and never hands the parsed payload back, so there is no signature for the type to appear in. As with the station wire record, that is a consequence of who opens the file rather than a name Python must never have.

Parse a KML station index

Python	TypeScript
absent	parseKml

Both libraries build their index by regex over the upstream KML descriptions rather than through a DOM, and for the same reason: each description is a small HTML table inside a CDATA block, and a parser with no XML dependency runs in a worker or an edge runtime.

The step is public in TypeScript and private in Python because the two take different inputs. TypeScript's takes the fetched text, which is the only form a browser ever has, and the package's own offline index builder runs over that same text. Python's _parse_kml takes a Path to a file StationIndex.refresh has already downloaded, so a caller holding KML text could not call it in any case. Publishing it would mean changing what it accepts first, which is a change to the code rather than to its name.

Read station metadata from a download URL

Python	TypeScript
absent	parseUrlMetadata

Country, state, city, and WMO number, recovered from the filename in a station's ZIP URL. Public in TypeScript because it is the half of index building a caller can reuse on its own, against a URL it already holds, with no KML anywhere in sight.

Python keeps _parse_url_metadata private beside _parse_kml, for the same reason that one is private: the index-building path there is StationIndex.refresh, which owns the whole download, and neither half of it is offered separately.

Build an index from index data

Python	TypeScript
absent	indexFromData

Turn an already-parsed IndexData into a searchable StationIndex, synchronously and with no I/O. TypeScript needs the name because its callers legitimately hold the payload: one has fetched it, one has imported it through a bundler, and loadBundledIndex reads it off disk in Node. All three then need the same pure step.

Python has no such caller. StationIndex.load opens the file, decompresses it, and returns the index in one call, and StationIndex.from_stations covers the other construction anyone wants, from stations the caller built itself. A Python counterpart would be a public name for the middle of a method nobody stands in.

The upstream index file list

Python	TypeScript
absent	INDEX_FILES

The ten regional KML files that together cover the globe, identical on both sides down to the order. TypeScript exports the list because refreshStationIndex and checkForUpdates both accept a baseUrl and a fetch, so a caller routing around the missing CORS header has to know which ten files will be requested through its proxy.

Python's _INDEX_FILES is private because StationIndex.refresh offers no such override: it owns the whole download, so the list names nothing a Python caller could point anywhere else.

The upstream index base URL

Python	TypeScript
absent	SOURCES_BASE_URL

https://climate.onebuilding.org/sources, the same string on both sides. Public in TypeScript for the reason the upstream index file list is public: it is the default a caller replaces through baseUrl, and a proxy prefix is built by rewriting it.

Python's _SOURCES_BASE_URL is private for the reason its file list is private. Nothing in the Python API accepts a base URL, so exporting the default would publish a constant no signature takes.

Fetch a prebuilt station index

Python	TypeScript
absent	loadStationIndex

Fetch stations.json.gz from a URL, inflate it, and build the index. It exists because a browser cannot read the copy inside node_modules: the page serves that file from its own origin and points this at it.

Python needs no counterpart, and the absence must not be read as a gap. Its index is installed with the package and StationIndex.load reads it from disk, so there is no URL to load from. Neither library retrieves an index over the network to get started (FR-043, FR-075): this names how a browser reaches the copy it was already shipped, not a different starting point.

The bundled station index

Python	TypeScript
StationIndex.load	loadBundledIndex

The same operation, read the index shipped inside the package from disk with no network call, under two names that cannot be shared.

Python's is StationIndex.load because the index is always on disk there: load is the register's verb for reading from a path, the class is the only place to reach it, and a cached copy written by a refresh is preferred over the bundled one transparently. TypeScript's says bundled because it has to distinguish itself from loadStationIndex, which is the portable path and loads over the network, and because it lives in @idfkit/weather/node where it touches node:fs. Spelling it load there would name the disk path as the default in a package whose default runtime has no disk.

Python's load also fires the throttled freshness check recorded under refresh the station index. The Node function does not, and has no cache directory to throttle against.

Download a station's EPW file

Python	TypeScript
WeatherDownloader.get_epw	fetchEpw

The shortest path to one station's EPW, and the two libraries return different things because their callers need different things. Python returns a Path, because the file is in its cache and a path is what EnergyPlus is given. TypeScript returns the EPW text, because a browser has no disk and the text is what @idfkit/engine takes.

The verbs follow the receivers, exactly as in download a weather file: get_ reads something the downloader's cache already holds or will hold, and fetch names the platform primitive the free function reaches through. Neither could take the other's spelling without describing something it does not do.

Download an EPW file by filename

Python	TypeScript
WeatherDownloader.get_epw_by_filename	fetchEpwByFilename

Resolve a canonical EPW filename to a station through the index, then retrieve that station's EPW. The same get_ against fetch split as download a station's EPW file above, for the same reason.

The index arrives differently, which is the packaging asymmetry rather than a second naming disagreement: Python's is an optional keyword defaulting to the bundled index, because it can always find one on disk. TypeScript's is a required argument, because the caller had to obtain an index already and the function has nowhere to load one from.

Download a station's DDY file

Python	TypeScript
WeatherDownloader.get_ddy	absent

Python offers a per-member shortcut and TypeScript does not, and the cache is the reason. Both libraries retrieve one ZIP archive per station and unpack its members. Python's downloader keeps that archive's members on disk, so get_ddy after get_epw costs a path lookup, and a function per member is worth having.

TypeScript keeps nothing. fetchWeatherFiles returns the EPW, DDY, and STAT text together from the one archive it just fetched, so the DDY is already in hand and a fetchDdy could only re-download the same bytes to hand back one of them. The concept exists on both sides; only Python has a reason to give it a name.

Registered alongside download a station's EPW file, whose get_epw/fetchEpw pair was already here while its DDY twin was not. See the weather-file-cache capability in the parity ledger for the cache this turns on, which is Python's permanently (FR-031).

Download a DDY file by filename

Python	TypeScript
WeatherDownloader.get_ddy_by_filename	absent

Resolve a canonical EPW filename to a station through the index, then retrieve that station's DDY. Python-only for the same reason as download a station's DDY file above: the cache makes a per-member accessor cheap, and without one there is nothing for a TypeScript counterpart to save.

The index arrives as an optional keyword defaulting to the bundled copy, matching get_epw_by_filename rather than diverging from it.

Download a station's archive

Python	TypeScript
absent	fetchWeatherArchive

The low-level retrieval step: fetch the station's ZIP and return every member as raw bytes. Public in TypeScript because it is the only way to reach the members with no decoded convenience field, .clm, .wea, .rain, and .pvsyst among them, and because a caller can hand the bytes anywhere.

Python reaches the same members as files. WeatherDownloader.download extracts the archive into the cache and hands back WeatherFiles.zip_path beside the extracted paths, so the archive is already addressable, and a method returning bytes would be a second route to the same content in a language whose caller asked for paths.

The retrieved weather files

Python	TypeScript
WeatherFiles	WeatherFiles

Identical names, different values, and recorded rather than reconciled for the same reason as version: files.epw is a Path in Python and the EPW text in TypeScript, so code written from one side's documentation reads against the other and is wrong at runtime.

Each is right where it lives, and the difference is the packaging asymmetry the parity ledger records under weather-index. Python downloads into a cache directory, so paths are what it has and what it should hand back, and zip_path and a guaranteed ddy follow from the same fact. TypeScript writes nothing to disk, so text is the only thing it can return, and it carries the undecoded members beside the three it decodes as a map of bytes.

Renaming either side would not fix the collision and would spend a rename budget on making it harder to find. write weather files to disk below names the step that turns one into the other in Node.

Python's PartialWeatherFiles, returned by download(station, only=...), is the same record with every path optional. It has no TypeScript counterpart and is not a gap: selective extraction is a property of writing into a cache, and the JavaScript side decodes from memory whatever the archive held.

Read a ZIP archive

Python	TypeScript
absent	unzip

Read a ZIP into a map of member name to bytes. TypeScript ships one and exports it because JavaScript has no archive reader in its standard library and this package takes no dependencies: it reads the central directory itself and inflates with DecompressionStream('deflate-raw'), which browsers and Node 20 and later both have.

Python has zipfile in its standard library and WeatherDownloader uses it directly. A public unzip there would be a wrapper over a module the caller can already import, which is a public name for an import statement.

The injectable fetch

Python	TypeScript
absent	FetchLike

The subset of the fetch signature every network call in the package accepts, so that a caller can substitute its own. It exists because climate.onebuilding.org sends no Access-Control-Allow-Origin header: from a page, the only way to reach it is through a proxy the caller supplies, and this type is what makes that argument checked rather than hopeful.

Python has nothing to inject and needs no name for it. WeatherDownloader reaches the network with urllib.request and owns its own requests, and a Python caller runs under no same-origin policy, so a seam here would name an override nobody has a reason to pass.

Write weather files to disk

Python	TypeScript
absent	saveWeatherFiles

Write a retrieved WeatherFiles into a directory, Latin-1, the encoding EPW uses, and return the paths. It is a separate step, and a Node-only one, because the portable half writes nothing to disk. That is the asymmetry the parity ledger records under weather-index.

Python has no counterpart and lacks nothing. Retrieving and saving are one operation there: WeatherDownloader.download puts the files in its cache directory on the way to returning their paths, so a second name would be a public spelling for something already done. The verb is still the register's save, so the two surfaces do not disagree about the word for putting bytes on a disk, only about how many steps it takes to get there.

The written weather file paths

Python	TypeScript
absent	SavedWeatherFiles

Where saveWeatherFiles put each file, or the absent value for one the archive did not carry. TypeScript needs a second record because its WeatherFiles holds text: the paths do not exist until a Node caller has written them.

Python needs no second record because its WeatherFiles is paths already, which is the the retrieved weather files divergence seen from the disk-writing side.

A schedule as a series

Python	TypeScript
to_series	absent

Absent from JavaScript, and not a gap. to_series returns a pandas Series, which is the shape a Python analyst wants and is why the function exists. JavaScript has no pandas and no equivalent labelled series type in its standard library, so a counterpart would either invent a container this library has no business defining or wrap an array in a name that promises more than it delivers. The year's values themselves are covered by a schedule's values for a year, which does port.

The base error type

Python	TypeScript
IdfKitError	absent

Python gives every failure the library raises one catchable base, so except IdfKitError holds a whole library's errors in one clause. That is the convention every Python package a reader already imports follows, and it is why the sixteen classes in exceptions.py all derive from it.

JavaScript's core throws exactly one type, IdfParseError, and only when ParseOptions.strict is left on. Everything else it reports as a value. A base class there would be a class with one subclass and nothing to catch, which names a hierarchy the library does not have.

An unknown object type

Python	TypeScript
UnknownObjectTypeError	absent

Python raises, and this class also derives from KeyError so that doc["Nope"] behaves the way a subscript is expected to. JavaScript reports the same condition as a ParseDiagnostic, because a browser caller wants the partial document alongside the finding rather than instead of it.

The canonical form is the shared diagnostic code the corpus compares on, so the two libraries agree about the condition even though only one of them names a class for it.

Canonical form across the boundary: UnknownObjectType.

An invalid field

Python	TypeScript
InvalidFieldError	absent

Python raises, and derives from AttributeError so that a mistyped field on an object in a strict document fails the way attribute access is expected to. JavaScript catches the same mistake in the type system: the generated type maps make zone.celing_height a compile error, so the runtime condition it still reports is a diagnostic rather than a throw.

The canonical form is the shared diagnostic code the corpus compares on.

Canonical form across the boundary: InvalidField.

A value outside its range

Python	TypeScript
RangeError	absent

Python raises when a field value falls outside the minimum or maximum the schema declares. JavaScript reports it as a diagnostic, and cannot spell the class the same way in any case: RangeError is a built-in global there, so a library type of that name would shadow a language primitive inside every module that imported it.

The canonical form is the shared diagnostic code the corpus compares on, and it is Range rather than RangeError for the same reason: stripping the suffix is what keeps the code out of the way of the JavaScript global.

Canonical form across the boundary: Range.

A duplicate object

Python	TypeScript
DuplicateObjectError	absent

Python raises when a name is added twice within one object type. JavaScript reports it as a diagnostic and keeps parsing, which is what lets a viewer show a model that a strict reader would have refused.

The canonical form is the shared diagnostic code the corpus compares on.

Canonical form across the boundary: DuplicateObject.

A version mismatch

Python	TypeScript
VersionMismatchError	absent

Python raises when the version a caller asked for disagrees with the version the document declares. JavaScript takes the version as an argument to schemaFor instead, so the same disagreement is resolved at the call site rather than raised from inside the parse.

The canonical form is the shared diagnostic code the corpus compares on.

Canonical form across the boundary: VersionMismatch.

An unsupported version

Python	TypeScript
UnsupportedVersionError	absent

Python raises when a version outside ENERGYPLUS_VERSIONS is requested, which it can do because the supported set ships with the package and is known at import time. JavaScript's supported set depends on the bundle the caller supplied, so resolveVersion returns the absent value instead of throwing: it has no standing to call a version unsupported, only to report that this bundle does not serve it.

The canonical form is the shared diagnostic code the corpus compares on.

Canonical form across the boundary: UnsupportedVersion.

A schema that cannot be found

Python	TypeScript
SchemaNotFoundError	absent

Python raises when the bundled schema file for a supported version is missing, which is a packaging failure of the installed distribution. JavaScript reaches its schemas through a BundleSource it does not own, so the same condition surfaces as a rejected promise from the source rather than as a library type: the library cannot distinguish a missing file from a network failure, and inventing a class that claimed to would be wrong more often than right.

The canonical form is the shared diagnostic code the corpus compares on.

Canonical form across the boundary: SchemaNotFound.

A version that cannot be detected

Python	TypeScript
VersionNotFoundError	absent

Python raises when a file carries no readable Version object. TypeScript's getIdfVersion and getEpJsonVersion return undefined for the same input, which their own doc comments state as the contract: they exist to break the chicken-and-egg between choosing a schema and reading the version, so a throw would put the caller back where it started with nothing to fall back on.

No shared diagnostic code: the corpus vocabulary is derived from the parse hierarchy, and this condition is detected before a parse begins.

A validation that failed

Python	TypeScript
ValidationFailedError	absent

Python raises this when a caller asks for validation to be enforced rather than reported. The TypeScript counterpart is already registered above and is a value, not a throw: validateDocument returns a ValidationResult carrying ValidationError findings, each with a severity and a location. Adding a thrown class beside it would give the same failure two public shapes in one language.

A migration that failed

Python	TypeScript
MigrationError	absent

Python raises when a transition step fails. The registered TypeScript migration surface reports the same failure through MigrationReport, which already carries the per-step outcome, so the report is the counterpart and a thrown class would be a second way to learn the same thing.

The TypeScript migration surface is registered above and is not written yet (FR-007).

A DDY file with no design days

Python	TypeScript
NoDesignDaysError	absent

Python raises when a DDY file carries no SizingPeriod:DesignDay, and the exception carries the station name and a list of nearby stations that do have design conditions, which is what makes it actionable rather than merely true. The registered TypeScript design-day surface, DesignDayManager, is not written yet and reports its outcomes as values like the rest of that side, so the empty file is a result there rather than a class.

The newest supported version

Python	TypeScript
LATEST_VERSION	SchemaBundle.latest

Python's answer is a constant because the schemas ship with the package, so the newest supported release is known at import time and LATEST_VERSION can be read without a call. TypeScript's answer depends on which bundle the caller supplied, so it is a query on that bundle and it is asynchronous for the same reason SchemaBundle.load is. A constant there would name a release the library does not control.

This is the the supported version list divergence applied to one member of that list, and the same canonical form applies: Python's value is a tuple, TypeScript's is a string, and the string is what crosses the boundary.

Canonical form across the boundary: string.

The oldest supported version

Python	TypeScript
MINIMUM_VERSION	absent

Python names the oldest supported release as a constant, beside LATEST_VERSION, for the same reason it can name the newest one. TypeScript names nothing, and correctly so: SchemaBundle.versions returns the bundle's versions oldest first, so the answer is the first element of a list the caller already has, and a second asynchronous method returning it would be a public name for an array index.

Canonical form across the boundary: string.

Render a version as text

Python	TypeScript
version_string	absent

Absent from TypeScript, and not a gap. Python's version is a tuple, so turning it into the canonical string needs a function, and the version entry above already names version_string as the renderer the corpus asserts against. TypeScript's version is that string already, so a counterpart would be the identity function under a name that promised a conversion.

Canonical form across the boundary: string.

Whether a version is supported

Python	TypeScript
is_supported_version	absent

Absent from TypeScript, and not a gap. Python can answer the question from ENERGYPLUS_VERSIONS, a constant, so a predicate over it is cheap and honest. TypeScript's supported set belongs to the bundle the caller supplied, so the same question is already answered by resolveVersion returning the absent value, and a separate predicate would either ask the bundle twice or answer for a set the library does not own.

One version's schema

Python	TypeScript
EpJSONSchema	Schema

The same object on both sides, one EnergyPlus version's schema, with the format in the Python name and not in the TypeScript one. Python has a flat top-level namespace where Schema alone would sit beside SchemaManager and say nothing about which of the two formats it describes, so the qualifier earns its place. TypeScript's is exported from @idfkit/schemas and is reached through that import, so EpJsonSchema would repeat the package name at every call site and read as the stutter the objects referencing a name entry rejects for the same reason.

The schema source

Python	TypeScript
SchemaManager	SchemaBundle

Each name says what its own object is, and the two objects are genuinely different. Python's SchemaManager manages schemas the package already owns: it finds the file for a version, parses it, and caches the result, so manager names the work. TypeScript's SchemaBundle owns no schemas at all; it wraps a BundleSource the caller supplied and serves versions out of it, so bundle names the thing it was handed.

Renaming either to the other would be a misdescription rather than an alignment: there is no bundle in Python and nothing to manage in TypeScript.

The process-wide schema source

Python	TypeScript
get_schema_manager	schemas

Both return the one instance a process should hold, so that loading 26.1.0 and then 9.4.0 costs far less than twice one version. The names diverge because the objects do, which is the divergence recorded directly above: Python's accessor is named after the SchemaManager it returns, and TypeScript's is named after the schemas the default bundle serves.

TypeScript's also lives in @idfkit/core/node, because the default bundle reads from disk. That is the input and output divergence, and it is why the plural noun rather than a get verb: a caller writes schemas() once and hands the result to schemaFor, where getSchemaBundle would name the container instead of the contents.

The IDF parser object

Python	TypeScript
IDFParser	absent

Python exposes the parser as an object because it holds state worth reusing: a file path, an encoding, a memory-mapped view of the content, and a loaded schema, so a caller parsing the same file at several versions constructs it once. parse_idf is the one-line front door over it and is the name the documentation teaches.

TypeScript's parseIdf is a pure function that takes the text and the schema as arguments and holds nothing between calls, which is what lets it run unchanged in a browser or a worker. A class there would be a function with a constructor in front of it.

parse IDF from a string above is the operation. This entry is the Python object that implements it.

The difference between two schema versions

Python	TypeScript
absent	SchemaDelta

TypeScript names the delta because Schema hands it out, so it is part of the package's public shape whether or not anyone asked for it. Python computes the same comparison inside idfkit.compat and keeps the result type private, reaching it only through diff_schemas, which is registered above.

Recorded rather than reconciled: the operation is registered and aligned, and only one side has a public name for what it returns.

Resolve the schema for a detected version

Python	TypeScript
absent	schemaFor

Absent from Python because Python has nothing to resolve. get_schema(version) takes the version and returns the schema, synchronously, from the package's own files.

TypeScript needs the step and exports it: the version arrives as a string detected from the file, the bundle is asynchronous and caller-supplied, and the caller may have overridden the version or the bundle through LoadOptions. It is exported rather than kept internal because a caller who parses text itself still has to take this step, and taking it wrongly, loading 26.1 for a 9.0 file, mis-maps every positional field silently instead of failing.

A reference edge

Python	TypeScript
absent	ReferenceEdge

One field of one object pointing at a name, with the repeat index when the field lives inside an extensible group. TypeScript names the record because referencing, retarget, and dangling all return it, and a reader meeting edge.from, edge.field, edge.target at the call site can see what it is.

Python returns the same three values as an anonymous tuple[IDFObject, str, str] from get_dangling_references and names nothing, so a caller unpacks by position. That is worth recording rather than hiding: the two libraries carry the same information and only one of them says what the parts are.

A Python counterpart would be additive and is not part of this feature. Registering the TypeScript name fixes the spelling either way.

An epJSON document value

Python	TypeScript
absent	EpJson

The epJSON document as a value, type to name to field values. TypeScript names it because parseEpJson accepts it as an alternative to text and toEpJson returns it, so it appears in two public signatures.

Python passes and returns plain dictionaries at the same points, and dict[str, Any] is what a Python reader expects there. A type alias for it would be a name that adds no checking, since the value is a nested Any at every level.

Serialize one object

Python	TypeScript
absent	writeObject

TypeScript exports the single-object writer because the whole-document writer is built out of it and a caller assembling IDF text by hand, a diff view or a snippet in a report, needs the same field alignment the document writer produces.

Python renders one object through IDFObject.__str__, which is the idiomatic place for it: str(obj) and print(obj) already work, and a module-level write_object would be a second public spelling of something the language already provides at the object.

Serialize a document to an epJSON value

Python	TypeScript
absent	toEpJson

TypeScript separates producing the epJSON value from producing epJSON text, because a JavaScript caller usually wants the value: it is already a JavaScript object, and stringifying it only to parse it again would be work for nothing.

Python's write_epjson returns the text, and the same conversion is reached at idfkit.writers.EpJSONWriter.to_dict rather than as a module-level function. Promoting it would be additive and is not part of this feature.

serialize epJSON to a string above is the text-producing operation and is aligned on both sides.

Read IDF from disk, keeping diagnostics

Python	TypeScript
absent	loadIdfWithDiagnostics

TypeScript needs two loaders because it returns rather than raises: loadIdf hands back the document and drops the non-fatal findings, and this one hands back the ParseResult with both. A single loader would either force every caller to unwrap a result they usually do not want, or throw away findings a viewer wants to show.

Python needs only load_idf, because the findings that stop a parse arrive on IDFParseError and the recoverable ones go to the logging module. That is the diagnostics from a parse divergence, seen from the disk-reading side.

The path a document was read from

Python	TypeScript
IDFDocument.filepath	absent

Python's load_idf opens the file itself, so the document it returns knows where it came from and error messages can say so.

TypeScript's core never sees a path. @idfkit/core/node reads the text and hands it to the pure parseIdf, which is what lets the same function run in a browser, so a filepath on the document would be absent on every document a browser produced and misleading on the rest. This is the input and output divergence, seen from the document.

Strict field access

Python	TypeScript
IDFDocument.strict	absent

Python's strict is a property of the document: with it on, reading or writing an unknown field name raises InvalidFieldError instead of returning None. It is read-only and set through the constructor, and it is also a type parameter, so the checker knows which behaviour a document has.

TypeScript needs no such switch, because the generated type maps reject an unknown field at compile time, which is the same protection earlier and without a runtime mode.

Recorded because of a collision a reader will otherwise walk into: TypeScript's ParseOptions.strict is a DIFFERENT setting with the same word, meaning throw on the first parse diagnostic rather than collect them. The two are not the same switch and neither is renamed here, because each is the correct word for its own setting; the register's job is to say so out loud.

The concrete syntax tree

Python	TypeScript
IDFDocument.cst	absent

Present only when the document was read with preserve_formatting=True, and it is what lets write_idf reproduce the original text byte for byte.

TypeScript has no counterpart because it has no lossless round-trip yet: writeIdf's own doc comment states the caveat plainly, that 3.0 comes back as 3 because JavaScript has one number type and the distinction is lost at parse time. The parity ledger records the absence under lossless-round-trip as Tier 2, and preserve formatting on a round-trip above registers the option name ahead of it.

The original source text

Python	TypeScript
IDFDocument.raw_text	absent

The other half of the formatting-preserving round-trip, beside cst: the source as it was read, kept only when preserve_formatting=True. Absent from TypeScript for the same reason and recorded under the same parity entry.

Every collection in a document

Python	TypeScript
IDFDocument.collections	absent

Python hands out the whole map of object type to collection, which is a plain dict a Python reader iterates without being taught anything.

TypeScript exposes no equivalent. Its typed path is types() and all(), and handing out the internal map would be an untyped second route to the same objects: exactly what withdrawing collection() removed, recorded above under untyped collection access.

The object types present in a document

Python	TypeScript
IDFDocument.keys	types

Both return the object type names the document actually holds. Python's document implements the mapping protocol, since doc["Zone"] is its idiomatic access, and keys is the word that protocol requires: a Python reader who has seen doc[...] will reach for keys(), values(), and items() without being told.

TypeScript's document is not a Map and cannot be one, for the reason recorded under every object of a type, so keys there would promise a protocol the class does not implement. types() says what the strings are instead.

Every non-empty collection

Python	TypeScript
IDFDocument.values	absent

The second member of Python's mapping protocol, beside keys and items. It exists because the first one does: a class that offers keys() and stops is a mapping that half works.

TypeScript implements no mapping protocol, so there is nothing for it to complete. The same content is reached by mapping types() through all(), which stays typed, where a values() returning every collection could not be.

Every object type and its collection

Python	TypeScript
IDFDocument.items	absent

The third member of Python's mapping protocol. Absent from TypeScript for the same reason as values, and reached there by pairing types() with all().

An object's outgoing references

Python	TypeScript
IDFDocument.get_references	referencedBy

The receiver carries the difference, exactly as it does for objects referencing a name, and this is that entry's mirror image. Python hangs the query on the document, IDFDocument.get_references(obj), because the graph is reached through the document there. TypeScript hangs it on the graph, doc.references.referencedBy(obj), where getReferences would read as references.getReferences and say the word twice.

Both answer the same question, which names does this object point at, and the pair of them is why neither language can borrow the other's spelling without stuttering on one side.

A model's schedules by name

Python	TypeScript
IDFDocument.schedules_dict	absent

A cached map from schedule name to object, spanning every Schedule:* type at once, which is what makes repeated schedule lookup cheap in a model with thousands of them.

Absent from TypeScript, where schedules are a Tier 2 capability the parity ledger records as not yet ported. The name is not registered ahead, unlike the rest of the schedules group, because the _dict suffix names a Python container: it is the to_list against toArray case, and fixing a TypeScript spelling now would fix the wrong one.

Every object in a document

Python	TypeScript
IDFDocument.all_objects	objects

Both walk every object in the document lazily. Python needs the all_ qualifier because a bare objects on a document whose collections is a map of objects would read as that map, and because objects_by_type sits beside it; it is a property rather than a method because a lazy view spelled as a property is what a Python reader expects of an iterable attribute.

TypeScript has neither neighbour, so objects() is unambiguous there, and it is a method because a property returning a fresh generator on each read is a trap in JavaScript: two reads would silently give two independent iterators.

An object's name changed

Python	TypeScript
IDFDocument.notify_name_change	onNameChanged

The same hook: an object tells its document that its name changed, so the collection can be re-keyed and every reference to the old name repointed. Both are public because the object calls them from outside the class, not because a user is meant to.

Python names the direction, notify_*, which is how a Python reader reads a callback the callee invokes on its owner. TypeScript names the event, on*Changed, which is the JavaScript convention and is what the ObjectOwner interface has to declare for a detached object to stay free of the document.

An object's field changed

Python	TypeScript
IDFDocument.notify_reference_change	onFieldChanged

The other half of the hook pair above, and the same naming split, notify_* against on*Changed.

The nouns differ too, and honestly: Python's fires only for fields the schema marks as references, which is why it says reference, and TypeScript's fires for any field and filters inside updateField, which is why it says field. Each name describes what its own implementation does. Whether the two should agree on when they fire is a behaviour question for the corpus, not a naming one, and renaming either without changing that would make the name wrong.

Migrate a model without blocking

Python	TypeScript
async_migrate	absent

Python ships a second entry point because its ecosystem is synchronous by default: migrate blocks while the transition binaries run, and an async caller needs a name of its own rather than a thread.

TypeScript needs no second name because the registered migrate is async by construction, like everything else that reaches a disk there. A TypeScript asyncMigrate would be the same function under two names, which FR-005 prohibits. This is the input and output divergence, seen from the migration side.

migrate a model to a newer version above is the operation. Its note already names this pair; this entry gives the second name a concept of its own.

The canonical form across the boundary

A divergence in a name costs you a lookup. A divergence in a value costs you a bug, because the code reads the same in both languages and behaves differently. Where the two libraries hold one thing in two shapes, the register names the text form both sides render, and the conformance corpus asserts that they render it identically for the same model.

Concept	Python	TypeScript	Canonical form
declared conformance level	idfkit.CONFORMANCE_LEVEL	CONFORMANCE_LEVEL	string
version	doc.version	doc.version	string
the supported version list	ENERGYPLUS_VERSIONS	SchemaBundle.versions	string
an unknown object type	UnknownObjectTypeError	absent	UnknownObjectType
an invalid field	InvalidFieldError	absent	InvalidField
a value outside its range	RangeError	absent	Range
a duplicate object	DuplicateObjectError	absent	DuplicateObject
a version mismatch	VersionMismatchError	absent	VersionMismatch
an unsupported version	UnsupportedVersionError	absent	UnsupportedVersion
a schema that cannot be found	SchemaNotFoundError	absent	SchemaNotFound
the newest supported version	LATEST_VERSION	SchemaBundle.latest	string
the oldest supported version	MINIMUM_VERSION	absent	string
detect a document version	get_idf_version	getIdfVersion	string
detect an epJSON document version	idfkit.epjson_parser.get_epjson_version	getEpJsonVersion	string
render a version as text	version_string	absent	string

The rule to carry away: keep each language's idiomatic shape in memory, and move the canonical form across the boundary. Anything written to a file, sent in a message, or compared in a test fixture is crossing the boundary.

Surfaces that stay in one language

Excluded does not mean "not yet". It is terminal: a counterpart appearing in the other language fails the gate, and adding one takes an amendment to the register reviewed by both languages. These surfaces are excluded because their names are quotations rather than choices. They reproduce another ecosystem's spelling, or they name a mechanism the other runtime does not have.

Untyped collection access

Python: IDFDocument.get_collection.

TypeScript: none, and never.

IdfDocument.collection() was public in @idfkit/core@0.1.0 and is withdrawn to in-package use. Two public methods for one operation is what FR-005 prohibits, and all() is the designed public surface: collection()'s own doc comment describes itself as the escape hatch that exists so the single unavoidable cast lives in one place. The version-generic case that would argue for keeping it is already covered, because all() accepts unknown type names and returns them untyped.

Python's get_collection stays public: it is the named alternative to the doc["Zone"] operator rather than a second untyped path, and Python has no generated type map narrowing to lose. Recorded per research R1.

TypeScript's rename count is 1 and is spent on the withdrawal, which is as breaking as a rename and must not happen twice. No third name is introduced: untyped() was considered and rejected, because it would still be two public names and would invite users onto the untyped path for a case all() already handles.

Eppy compatibility surface

Python, 15 names:

• addidfobject
• newidfobject
• popidfobject
• removeidfobject
• removeallidfobjects
• getiddgroupdict
• getobject
• getsurfaces
• idfobjects
• saveas
• savecopy
• theidf
• fieldnames
• getreferingobjs
• IDFObject.Name

TypeScript: none, and never.

Fifteen aliases that exist to let code written against eppy, a Python library, run unchanged against idfkit. They are correct in Python precisely because they are NOT idiomatic: they reproduce another Python library's spelling, lowercase-run-together and all, so that a migration is a one-line import change. getreferingobjs even reproduces eppy's misspelling of "referring", which is the clearest possible evidence that these names are quotations rather than choices.

JavaScript has no eppy and no code to migrate, so a JavaScript counterpart would import a foreign Python library's spelling into a language that never had it, and would add fifteen public names that nothing calls. They are listed here individually, rather than described as a category, because a category is something a future contributor can misread as "port these too". A name written out is not portable by accident.

Excluded is terminal. A counterpart appearing on the TypeScript side fails the gate. Adding one requires amending this entry, reviewed by both languages.

Live at idfkit/src/idfkit/_compat.py (EppyDocumentMixin, mixed into IDFDocument) and idfkit/src/idfkit/_compat_object.py (EppyObjectMixin, mixed into IDFObject). The fifteen above are the register's named exclusions; the same exclusion covers the whole of both mixins, including the further eppy members reachable from the same surface (addidfobjects, removeidfobjects, copyidfobject, key, fieldvalues, getfieldidd, getfieldidd_item, getrange, checkrange, save, run, update). None of them crosses to TypeScript either.

The weather file cache

Python, 2 names:

• PartialWeatherFiles
• WeatherDownloader.clear_cache

TypeScript: none, and never.

The on-disk cache for retrieved weather and design-day files, and the names that exist only because Python keeps one. WeatherDownloader owns a directory, per platform by default and moved with cache_dir or IDFKIT_CACHE_DIR; download consults it before the network and skips the request on a hit within max_age; clear_cache empties it; PartialWeatherFiles is the record selective extraction returns, and it is meaningful only because a suffix skipped this time may already be in the directory from an earlier call.

Excluded rather than divergent, and excluded is terminal here by requirement rather than by convention: FR-031 says the second language MUST NOT implement one. A counterpart appearing on the TypeScript side fails the gate (FR-006), which is the point of recording it this way.

@idfkit/weather is correct without one. It targets a browser, a worker, and an edge runtime as well as Node; two of those have no directory it could own, and choosing one in Node would make the package behave differently depending on where it runs. saveWeatherFiles in @idfkit/weather/node writes a retrieved bundle where the caller asks and is not a cache: it consults nothing on the way in and remembers nothing on the way out.

The parity ledger records the capability as permanently single-language under weather-file-cache, and the consequences for retrieval, paths against text, under weather-download.

The weather options-object types

Python: none, and never.

TypeScript, 10 names:

• SearchOptions
• NearestOptions
• FilterOptions
• LoadIndexOptions
• RefreshIndexOptions
• FetchWeatherOptions
• GeocodeOptions
• DetectLocationOptions
• SaveWeatherFilesOptions
• WeatherStationFields

Ten interfaces naming argument objects, under one entry for the same reason the options-object types covers the five in @idfkit/core: TypeScript has to name an option bag, because it arrives as one argument and its type is what makes a misspelled option a compile error instead of a silently ignored key, and Python passes the same options as keyword arguments, which the language names and checks at the call site by itself.

Nine are options in the plain sense, on search, nearest, filter, loadStationIndex, refreshStationIndex, the three retrieval functions, geocode and detectLocation, and saveWeatherFiles. The tenth, WeatherStationFields, is the same mechanism at a constructor rather than at a call: new WeatherStation(fields) takes one object, so its shape needs a name, where Python's WeatherStation is a frozen dataclass whose constructor keywords are that list already.

Excluded is terminal. A Python counterpart appearing later fails the gate.

Option NAMES are not excluded here, only the containers that carry them. An option that is a concept of its own gets its own entry, as preserve formatting on a round-trip does, and the fetch these bags accept is typed by the injectable fetch above.

The local simulation surface

Python, 19 names:

• simulate
• simulate_batch
• async_simulate
• async_simulate_batch
• async_simulate_batch_stream
• find_energyplus
• expand_objects
• run_preprocessing
• EnergyPlusConfig
• SimulationResult
• BatchResult
• SimulationCache
• SimulationJob
• SimulationProgress
• ESOResult
• CSVResult
• SQLResult
• TimeSeriesResult
• ErrorReport

TypeScript: none, and never.

Running a locally installed EnergyPlus needs the installation and a subprocess to drive it, then reads the eplusout files that run leaves on disk. Neither the installation nor the subprocess exists in a browser, which is the runtime the JavaScript library targets, so these names are correct in Python precisely because they name a mechanism JavaScript cannot have.

JavaScript reaches EnergyPlus by the other mechanism, a WebAssembly build in @idfkit/engine, which is a different capability rather than a workaround for this one. Recording a JavaScript counterpart here would make one language read as deficient at something it does not lack, which is what FR-068 and FR-078 forbid.

Narrowed on purpose. Choosing which variables to ask for and drawing the results are both pure and both portable, so select output variables for a run and the plotting group above are registered rather than excluded.

Live under idfkit/src/idfkit/simulation/. The names above are the register's named exclusions; the same exclusion covers the rest of that subpackage, including the FileSystem family, the progress reporters, and the remaining result readers. None of them crosses to TypeScript.

The vector image surface

Python, 9 names:

• construction_to_svg
• generate_construction_svg
• view_model
• view_floor_plan
• view_exploded
• view_normals
• ColorBy
• ModelViewConfig
• SVGConfig

TypeScript: none, and never.

All nine produce a vector image handed back for a notebook, a report, or a file on disk, which is a Python workflow. A JavaScript caller wanting to look at a model is already in a runtime that draws and is served by the other mechanism, @idfkit/viewer, which renders an interactive scene. The two are different capabilities, and merging them would make each language read as missing something the other has.

Excluded is terminal here for the same reason it is terminal for the eppy surface: a JavaScript counterpart would add public names that nothing calls, in a runtime that already draws.

Live at idfkit/src/idfkit/visualization/, nine exports, verified against __all__. construction_to_svg and generate_construction_svg are two public names for one operation, which FR-005 prohibits; that duplicate is resolved by the change that withdraws one, not here.

The local simulation error types

Python, 3 names:

• EnergyPlusNotFoundError
• ExpandObjectsError
• SimulationError

TypeScript: none, and never.

Three failures of the mechanism the local simulation surface already excludes: no EnergyPlus installation was found, the ExpandObjects preprocessor failed, and the simulation itself failed. Each names a subprocess or an installation, and neither exists in a browser, so each is correct in Python precisely because it names something JavaScript cannot have.

They are listed here rather than folded into the the local simulation surface entry because they live in exceptions.py and are exported from the top level, so a reader meets them on idfkit. completion rather than inside idfkit.simulation.

Excluded is terminal. A counterpart appearing on the TypeScript side fails the gate.

Version string ordering

Python: none, and never.

TypeScript, 2 names:

• compareVersions
• versionKey

Two JavaScript names that exist only because TypeScript's version is a string. Plain string ordering puts 8.9.0 after 22.1.0, so the library computes a numeric sort key and compares on that.

Python needs neither and must never grow them. Its version is tuple[int, int, int], which the built-in comparison operators already order correctly, which is exactly why ENERGYPLUS_VERSIONS, LATEST_VERSION, MINIMUM_VERSION, and find_closest_version are all tuples. A Python compare_versions would be a public name for <.

Excluded is terminal. A Python counterpart appearing later fails the gate.

The schema bundle source surface

Python: none, and never.

TypeScript, 2 names:

• BundleSource
• httpSource

The one runtime-specific seam in @idfkit/schemas: an interface saying where bundle files come from, and the fetch-based implementation of it for browsers. They exist because JavaScript runs in places that have no filesystem, and everything above the interface is portable precisely because the seam is named.

Python must never grow a counterpart. Its schemas are installed with the package and read from disk by SchemaManager, so a BundleSource there would be an abstraction over one implementation, and an http_source would invite a Python caller to fetch over the network what is already on their disk.

Excluded is terminal. A Python counterpart appearing later fails the gate.

The slimmed schema record types

Python: none, and never.

TypeScript, 2 names:

• SlimType
• SlimField

The two record shapes @idfkit/schemas hands out: one object type as the bundle stores it, and one field of it. They are public because a TypeScript caller reading type.x.fields needs a checked shape for what it is reading, and because ObjectShape is built from them.

Python reads the same content as the nested dictionaries the epJSON schema already is, through EpJSONSchema's methods, and its reader-facing view of a type is ObjectDescription and FieldDescription, which are registered above and are a different thing: a description assembled for a human, not the storage record. Naming the storage records in Python would add public types with no accessor of their own.

Excluded is terminal. A Python counterpart appearing later fails the gate.

The options-object types

Python: none, and never.

TypeScript, 5 names:

• ParseOptions
• LoadOptions
• WriteIdfOptions
• ObjectWriteOptions
• WriteEpJsonOptions

Five interfaces that name the option bags parseIdf, loadIdf, writeIdf, writeObject, and writeEpJson accept. TypeScript has to name them: an options object is one argument, and its type is what makes a misspelled option a compile error instead of a silently ignored key.

Python passes the same options as keyword arguments, which are named and checked at the call site by the language itself, so a Python counterpart would be a dataclass nobody constructs, sitting between the caller and a signature that already reads better. The add an object entry records the same difference from the other end, where Python's keyword form has no TypeScript equivalent and the values arrive as an object literal instead.

Excluded is terminal. A Python counterpart appearing later fails the gate.

Option NAMES still align: preserve_formatting against preserveFormatting is registered above as its own concept. This entry excludes the container types, not the options they carry.

The static typing surface

Python: none, and never.

TypeScript, 4 names:

• TypeNameOf
• ObjectOf
• ValuesOf
• UntypedMap

Four type-level helpers that make doc.all('Zone') resolve to a collection of objects with Zone's fields: the accepted type names for a map, the field interface for one of them, the values accepted when creating one, and the map of a document with no version types attached. They are erased at build time and none of them exists once the code is running.

Python cannot express any of it. Its stubs apply implicitly to every document, with nothing for a caller to select, which is the divergence generated object types and a version type map already record. A Python counterpart would name a choice its type checker cannot make.

Excluded is terminal. A Python counterpart appearing later fails the gate.

AnyTypeMap, the base constraint these are written against, has its own entry above.

The per-type prototype surface

Python: none, and never.

TypeScript, 3 names:

• ObjectShape
• shapeFor
• shapeOf

JavaScript's answer to __getattr__. Python resolves zone.ceiling_height at runtime through a lookup hook; the mechanical translation of that is a Proxy, which the library deliberately does not use because proxies defeat inline caches and are invisible to TypeScript, so nothing would complete. Instead each object type gets one prototype carrying real accessors, built once and shared, and ObjectShape is that prototype plus the field metadata the graph and the writer read off it.

Python already has the hook these three replace, so a counterpart there would be a second, slower way to do what the language does for free.

Excluded is terminal. A Python counterpart appearing later fails the gate.

The object-model value types

Python: none, and never.

TypeScript, 4 names:

• FieldValue
• StoredValue
• FieldValues
• ObjectOwner

Three types naming what a field slot may hold and one interface naming what an object needs from whatever owns it. TypeScript must name all four because they appear in checked signatures, and ObjectOwner in particular is an interface rather than a reference to the document class so that a detached object carries no dependency on the document at all.

Python needs none of them. A field value is whatever the schema says it is, checked at runtime by IDFObject, and an object reaches its document through an attribute rather than through a declared interface. Naming them in Python would add four public types that no signature would be improved by.

Excluded is terminal. A Python counterpart appearing later fails the gate.

The lexer surface

Python: none, and never.

TypeScript, 4 names:

• lex
• RawObject
• LexDiagnostic
• LexOptions

JavaScript splits IDF text into raw objects before any schema is involved, and exports that step: a hand-written character scan, the raw object it yields, and its diagnostic and option types. The split is what makes the diagnostics linear-time and line-accurate, and it is what lets a caller read a file whose version is not yet known.

Python tokenises inside IDFParser.parse with a regex and exposes no lexer. Exporting one would be a second public parse path over the same text, which FR-005 prohibits, and it would publish an internal representation that the concrete syntax tree, registered above as preserve formatting on a round-trip, already covers for the one case a caller has a reason to see.

Excluded is terminal. A Python counterpart appearing later fails the gate.

Run the ExpandObjects preprocessor

Python: IDFDocument.expand.

TypeScript: none, and never.

Replaces HVACTemplate:* objects with their low-level equivalents and returns a new document. It does that by running the ExpandObjects binary that ships with an EnergyPlus installation, in a subprocess, which is the mechanism the local simulation surface already excludes and which a browser does not have.

It is listed separately from that entry because it hangs on the document rather than living in idfkit.simulation, so a reader meets it on doc. completion.

Excluded is terminal. A counterpart appearing on the TypeScript side fails the gate.

Second Python spellings of a registered concept

Python, 4 names:

• ParseError
• intersect_match
• IDFDocument.describe
• IDFDocument.objects_by_type

TypeScript: none, and never.

Four Python names, each a second public spelling of a concept whose registered name is elsewhere in this file. They are listed here so that the gate sees the whole surface, and listed individually so that no future contributor reads a category and ports them.

ParseError is bound to IdfKitError, not to IDFParseError, and is kept so that code written against an older release still imports. Note the trap: the corpus's shared diagnostic code ParseError is derived from IDFParseError, so the Python name and the shared code are the same word for two different things.

intersect_match is a second name for intersect_and_match, which the intersect and match surfaces entry already records as the surviving one.

IDFDocument.describe is the document-bound spelling of describe_object_type, which the describe an object type entry already records as the registered name. The two take different arguments, the method supplying the document's own schema, but they answer one question.

IDFDocument.objects_by_type yields exactly what items returns, lazily rather than as a list.

None of the four is a name JavaScript should acquire: each would import a Python duplicate into a language that never had the original. Excluded is terminal, and a counterpart appearing on the TypeScript side fails the gate.

This entry covers the surface. It does not resolve the FR-005 duplication, which is resolved by the change that withdraws or renames each name, as the intersect and match surfaces and the vector image surface entries already say for their own duplicates. A withdrawal counts as a rename, so each of these has one budget to spend and no more.

Names that have spent their rename

Every name gets one rename during the unification. One. A name that has spent it is frozen: the gate blocks the change that would take it to a second, and unblocking it takes an amendment saying why the first rename was wrong. A user absorbs one rename with a changelog entry and a search-and-replace, and absorbs a second by concluding the library is unstable.

Concept	Name	Language	Renames
write IDF to disk	save_idf	Python	1
write epJSON to disk	save_epjson	Python	1
the document class	IdfDocument	TypeScript	1
untyped collection access	withdrawn	TypeScript	1
generated object types	@idfkit/types-v26-1	TypeScript	1
detect a document version	getIdfVersion	TypeScript	1
detect an epJSON document version	getEpJsonVersion	TypeScript	1

A withdrawal counts as a rename. It is at least as breaking, and it must not happen twice to one name either.

Package names reserved before their ports

No package below is built yet, and the shared install map gains no entry for any of them: an entry that resolves to nothing breaks a clean install, which is worse than an unreserved name. The reservation exists because an npm package name cannot be corrected after publication, and a name chosen at the moment its port begins is a name chosen by one language under schedule pressure.

Capability	npm package	Subpath	Mirrors	Tier	Built
schedules	@idfkit/schedules	idfkit/schedules	idfkit.schedules	2	not yet
geometry, geometry builders, surface matching, zoning	@idfkit/geometry	idfkit/geometry	idfkit.geometry, idfkit.geometry_builders, idfkit.surface_matching, idfkit.zoning	2	not yet

What the gate refuses

The gate that reads the register refuses a pull request when:

• A public name has no entry. It reports the name, its library, and the file it is exported from.
• A concept has two public names in one language. It reports the concept and both names.
• An excluded entry gains a counterpart in the other language. It reports the concept and the offending name.
• A divergent entry has no divergence_reason. It reports the concept.
• A change takes a name to rename_count 2. It reports the name and its first rename.

It passes when every public name in both libraries resolves to an entry.

Changing the register itself needs a maintainer of the other language, enforced by CODEOWNERS in both repositories.

Names that were never meant to be public are not registered to keep the gate quiet. They are deleted. A public surface that leaks an import or an assembly artefact fails outright, and adding an entry for one is the wrong fix.