def test_matrix_ir_parses(self):
hl.index_bgen(resource('example.8bits.bgen'),
reference_genome=hl.get_reference('GRCh37'),
contig_recoding={'01': '1'})
collect = ir.MakeStruct([('x', ir.ApplyAggOp('Collect', [], None, [ir.I32(0)]))])
matrix_read = ir.MatrixRead(
ir.MatrixNativeReader(resource('backward_compatability/1.0.0/matrix_table/0.hmt')), False, False)
table_read = ir.TableRead(
ir.TableNativeReader(resource('backward_compatability/1.0.0/table/0.ht')), False)
matrix_range = ir.MatrixRead(ir.MatrixRangeReader(1, 1, 10))
matrix_irs = [
ir.MatrixRepartition(matrix_range, 100, ir.RepartitionStrategy.SHUFFLE),
ir.MatrixUnionRows(matrix_range, matrix_range),
ir.MatrixDistinctByRow(matrix_range),
ir.MatrixRowsHead(matrix_read, 5),
ir.CastTableToMatrix(
ir.CastMatrixToTable(matrix_read, '__entries', '__cols'),
'__entries',
'__cols',
[]),
ir.MatrixAggregateRowsByKey(matrix_read, collect, collect),
ir.MatrixAggregateColsByKey(matrix_read, collect, collect),
matrix_read,
matrix_range,
ir.MatrixRead(ir.MatrixVCFReader(resource('sample.vcf'), ['GT'], hl.tfloat64, None, None, None, None,
False, True, False, True, None, None, None)),
ir.MatrixRead(ir.MatrixBGENReader(resource('example.8bits.bgen'), None, {}, 10, 1, None)),
ir.MatrixFilterRows(matrix_read, ir.FalseIR()),
ir.MatrixFilterCols(matrix_read, ir.FalseIR()),
ir.MatrixFilterEntries(matrix_read, ir.FalseIR()),
ir.MatrixChooseCols(matrix_read, [1, 0]),
ir.MatrixMapCols(matrix_read, ir.MakeStruct([('x', ir.I64(20))]), ['x']),
ir.MatrixKeyRowsBy(matrix_read, ['row_i64'], False),
ir.MatrixMapRows(ir.MatrixKeyRowsBy(matrix_read, []), ir.MakeStruct([('x', ir.I64(20))])),
ir.MatrixMapEntries(matrix_read, ir.MakeStruct([('x', ir.I64(20))])),
ir.MatrixMapGlobals(matrix_read, ir.MakeStruct([('x', ir.I64(20))])),
ir.TableToMatrixTable(table_read, ['f32', 'i64'], ['m', 'astruct'], ['aset'], ['mset'], 100),
ir.MatrixCollectColsByKey(matrix_read),
ir.MatrixExplodeRows(matrix_read, ['row_aset']),
ir.MatrixExplodeCols(matrix_read, ['col_aset']),
ir.MatrixAnnotateRowsTable(matrix_read, table_read, '__foo'),
ir.MatrixAnnotateColsTable(matrix_read, table_read, '__foo'),
ir.MatrixToMatrixApply(matrix_read, {'name': 'MatrixFilterPartitions', 'parts': [0], 'keep': True})
]
for x in matrix_irs:
try:
Env.hail().expr.ir.IRParser.parse_matrix_ir(str(x))
except Exception as e:
raise ValueError(str(x)) from e
def matrix_irs(self):
hl.index_bgen(resource('example.8bits.bgen'),
reference_genome=hl.get_reference('GRCh37'),
contig_recoding={'01': '1'})
collect = ir.MakeStruct([('x', ir.ApplyAggOp('Collect', [], None, [ir.I32(0)]))])
matrix_read = ir.MatrixRead(
ir.MatrixNativeReader(
resource('backward_compatability/1.0.0/matrix_table/0.hmt'), None, False),
False, False)
table_read = ir.TableRead(
ir.TableNativeReader(resource('backward_compatability/1.0.0/table/0.ht'), None, False), False)
matrix_range = ir.MatrixRead(ir.MatrixRangeReader(1, 1, 10))
matrix_irs = [
ir.MatrixRepartition(matrix_range, 100, ir.RepartitionStrategy.SHUFFLE),
ir.MatrixUnionRows(matrix_range, matrix_range),
ir.MatrixDistinctByRow(matrix_range),
ir.MatrixRowsHead(matrix_read, 5),
ir.MatrixColsHead(matrix_read, 5),
ir.CastTableToMatrix(
ir.CastMatrixToTable(matrix_read, '__entries', '__cols'),
'__entries',
'__cols',
[]),
ir.MatrixAggregateRowsByKey(matrix_read, collect, collect),
ir.MatrixAggregateColsByKey(matrix_read, collect, collect),
matrix_read,
matrix_range,
ir.MatrixRead(ir.MatrixVCFReader(resource('sample.vcf'), ['GT'], hl.tfloat64, None, None, None, None,
False, True, False, True, None, None, None)),
ir.MatrixRead(ir.MatrixBGENReader(resource('example.8bits.bgen'), None, {}, 10, 1, None)),
ir.MatrixFilterRows(matrix_read, ir.FalseIR()),
ir.MatrixFilterCols(matrix_read, ir.FalseIR()),
ir.MatrixFilterEntries(matrix_read, ir.FalseIR()),
ir.MatrixChooseCols(matrix_read, [1, 0]),
ir.MatrixMapCols(matrix_read, ir.MakeStruct([('x', ir.I64(20))]), ['x']),
ir.MatrixKeyRowsBy(matrix_read, ['row_i64'], False),
ir.MatrixMapRows(ir.MatrixKeyRowsBy(matrix_read, []), ir.MakeStruct([('x', ir.I64(20))])),
ir.MatrixMapEntries(matrix_read, ir.MakeStruct([('x', ir.I64(20))])),
ir.MatrixMapGlobals(matrix_read, ir.MakeStruct([('x', ir.I64(20))])),
ir.MatrixCollectColsByKey(matrix_read),
ir.MatrixExplodeRows(matrix_read, ['row_aset']),
ir.MatrixExplodeCols(matrix_read, ['col_aset']),
ir.MatrixAnnotateRowsTable(matrix_read, table_read, '__foo'),
ir.MatrixAnnotateColsTable(matrix_read, table_read, '__foo'),
ir.MatrixToMatrixApply(matrix_read, {'name': 'MatrixFilterPartitions', 'parts': [0], 'keep': True}),
ir.MatrixRename(matrix_read, {'global_f32': 'global_foo'}, {'col_f32': 'col_foo'}, {'row_aset': 'row_aset2'}, {'entry_f32': 'entry_foo'}),
ir.MatrixFilterIntervals(matrix_read, [hl.utils.Interval(hl.utils.Struct(row_idx=0), hl.utils.Struct(row_idx=10))], hl.tstruct(row_idx=hl.tint32), keep=False),
]
return matrix_irs
def table_irs(self):
b = ir.TrueIR()
table_read = ir.TableRead(
'src/test/resources/backward_compatability/1.0.0/table/0.ht',
False, None)
table_read_row_type = hl.dtype(
'struct{idx: int32, f32: float32, i64: int64, m: float64, astruct: struct{a: int32, b: float64}, mstruct: struct{x: int32, y: str}, aset: set<str>, mset: set<float64>, d: dict<array<str>, float64>, md: dict<int32, str>, h38: locus<GRCh38>, ml: locus<GRCh37>, i: interval<locus<GRCh37>>, c: call, mc: call, t: tuple(call, str, str), mt: tuple(locus<GRCh37>, bool)}'
)
matrix_read = ir.MatrixRead(
'src/test/resources/backward_compatability/1.0.0/matrix_table/0.hmt',
False, False)
range = ir.TableRange(10, 4)
table_irs = [
ir.TableUnkey(table_read),
ir.TableKeyBy(table_read, ['m', 'd'], 1, True),
ir.TableFilter(table_read, b), table_read,
ir.MatrixColsTable(matrix_read),
ir.TableAggregateByKey(table_read,
ir.MakeStruct([('a', ir.I32(5))])),
ir.TableKeyByAndAggregate(table_read,
ir.MakeStruct([('a', ir.I32(5))]),
ir.MakeStruct([('b', ir.I32(5))]), 1, 2),
ir.TableJoin(table_read, ir.TableRange(100, 10), 'inner'),
ir.MatrixEntriesTable(matrix_read),
ir.MatrixRowsTable(matrix_read),
ir.TableParallelize(
'Table{global:Struct{},key:None,row:Struct{a:Int32}}',
ir.Value(hl.tarray(hl.tstruct(a=hl.tint32)), [{
'a': None
}, {
'a': 5
}, {
'a': -3
}]), None),
ir.TableMapRows(
table_read,
ir.MakeStruct([('a',
ir.GetField(ir.Ref('row', table_read_row_type),
'f32')), ('b', ir.F64(-2.11))]),
None, None),
ir.TableMapGlobals(
table_read,
ir.MakeStruct([('foo', ir.NA(hl.tarray(hl.tint32)))]),
ir.Value(hl.tstruct(), {})),
ir.TableRange(100, 10),
ir.TableRepartition(table_read, 10, False),
ir.TableUnion([ir.TableRange(100, 10),
ir.TableRange(50, 10)]),
ir.TableExplode(table_read, 'mset'),
ir.TableHead(table_read, 10),
ir.TableOrderBy(ir.TableUnkey(table_read), [('m', 'A'),
('m', 'D')]),
ir.TableDistinct(table_read),
ir.LocalizeEntries(matrix_read, '__entries')
]
return table_irs
def test_matrix_ir_parses(self):
hl.index_bgen(resource('example.8bits.bgen'),
reference_genome=hail.get_reference('GRCh37'),
contig_recoding={'01': '1'})
collect_sig = ir.AggSignature('Collect', [], None, [hl.tint32])
collect = ir.MakeStruct([('x',
ir.ApplyAggOp([ir.I32(0)], [], None,
collect_sig,
hl.tarray(hl.tint32)))])
matrix_read = ir.MatrixRead(
resource('backward_compatability/1.0.0/matrix_table/0.hmt'), False,
False)
table_read = ir.TableRead(
resource('backward_compatability/1.0.0/table/0.ht'), False, None)
matrix_irs = [
ir.MatrixUnionRows(ir.MatrixRange(5, 5, 1),
ir.MatrixRange(5, 5, 1)),
ir.UnlocalizeEntries(ir.LocalizeEntries(matrix_read, '__entries'),
ir.MatrixColsTable(matrix_read), '__entries'),
ir.MatrixAggregateRowsByKey(matrix_read, collect, collect),
ir.MatrixAggregateColsByKey(matrix_read, collect, collect),
ir.MatrixRange(1, 1, 10),
ir.MatrixImportVCF([resource('sample.vcf')], False, False,
None, None, False, ['GT'],
hail.get_reference('GRCh37'), {}, True, False),
ir.MatrixImportBGEN([resource('example.8bits.bgen')], ['GP'],
resource('example.sample'), {}, 10, 1,
['varid'], None),
ir.MatrixFilterRows(matrix_read, ir.FalseIR()),
ir.MatrixFilterCols(matrix_read, ir.FalseIR()),
ir.MatrixFilterEntries(matrix_read, ir.FalseIR()),
ir.MatrixChooseCols(matrix_read, [1, 0]),
ir.MatrixMapCols(matrix_read, ir.MakeStruct([('x', ir.I64(20))]),
['x']),
ir.MatrixKeyRowsBy(matrix_read, ['row_i64'], False),
ir.MatrixMapRows(ir.MatrixKeyRowsBy(matrix_read, []),
ir.MakeStruct([('x', ir.I64(20))])),
ir.MatrixMapEntries(matrix_read,
ir.MakeStruct([('x', ir.I64(20))])),
ir.MatrixMapGlobals(matrix_read,
ir.MakeStruct([('x', ir.I64(20))])),
ir.TableToMatrixTable(table_read, ['f32', 'i64'], ['m', 'astruct'],
['aset'], ['mset'], 100),
ir.MatrixCollectColsByKey(matrix_read),
ir.MatrixExplodeRows(matrix_read, ['row_aset']),
ir.MatrixExplodeCols(matrix_read, ['col_aset']),
ir.MatrixAnnotateRowsTable(matrix_read, table_read, '__foo', None),
ir.MatrixAnnotateColsTable(matrix_read, table_read, '__foo'),
]
for x in matrix_irs:
try:
Env.hail().expr.Parser.parse_matrix_ir(str(x))
except Exception as e:
raise ValueError(str(x)) from e
def table_irs(self):
b = ir.TrueIR()
table_read = ir.TableRead(
ir.TableNativeReader(resource('backward_compatability/1.0.0/table/0.ht'), None, False), False)
table_read_row_type = hl.dtype('struct{idx: int32, f32: float32, i64: int64, m: float64, astruct: struct{a: int32, b: float64}, mstruct: struct{x: int32, y: str}, aset: set<str>, mset: set<float64>, d: dict<array<str>, float64>, md: dict<int32, str>, h38: locus<GRCh38>, ml: locus<GRCh37>, i: interval<locus<GRCh37>>, c: call, mc: call, t: tuple(call, str, str), mt: tuple(locus<GRCh37>, bool)}')
matrix_read = ir.MatrixRead(
ir.MatrixNativeReader(resource('backward_compatability/1.0.0/matrix_table/0.hmt'), None, False),
False, False)
range = ir.TableRange(10, 4)
table_irs = [
ir.TableKeyBy(table_read, ['m', 'd'], False),
ir.TableFilter(table_read, b),
table_read,
ir.MatrixColsTable(matrix_read),
ir.TableAggregateByKey(
table_read,
ir.MakeStruct([('a', ir.I32(5))])),
ir.TableKeyByAndAggregate(
table_read,
ir.MakeStruct([('a', ir.I32(5))]),
ir.MakeStruct([('b', ir.I32(5))]),
1, 2),
ir.TableJoin(
table_read,
ir.TableRange(100, 10), 'inner', 1),
ir.MatrixEntriesTable(matrix_read),
ir.MatrixRowsTable(matrix_read),
ir.TableParallelize(ir.MakeStruct([
('rows', ir.Literal(hl.tarray(hl.tstruct(a=hl.tint32)), [{'a':None}, {'a':5}, {'a':-3}])),
('global', ir.MakeStruct([]))]), None),
ir.TableMapRows(
ir.TableKeyBy(table_read, []),
ir.MakeStruct([
('a', ir.GetField(ir.Ref('row'), 'f32')),
('b', ir.F64(-2.11))])),
ir.TableMapGlobals(
table_read,
ir.MakeStruct([
('foo', ir.NA(hl.tarray(hl.tint32)))])),
ir.TableRange(100, 10),
ir.TableRepartition(table_read, 10, ir.RepartitionStrategy.COALESCE),
ir.TableUnion(
[ir.TableRange(100, 10), ir.TableRange(50, 10)]),
ir.TableExplode(table_read, ['mset']),
ir.TableHead(table_read, 10),
ir.TableOrderBy(ir.TableKeyBy(table_read, []), [('m', 'A'), ('m', 'D')]),
ir.TableDistinct(table_read),
ir.CastMatrixToTable(matrix_read, '__entries', '__cols'),
ir.TableRename(table_read, {'idx': 'idx_foo'}, {'global_f32': 'global_foo'}),
ir.TableMultiWayZipJoin([table_read, table_read], '__data', '__globals'),
ir.MatrixToTableApply(matrix_read, {'name': 'LinearRegressionRowsSingle', 'yFields': ['col_m'], 'xField': 'entry_m', 'covFields': [], 'rowBlockSize': 10, 'passThrough': []}),
ir.TableToTableApply(table_read, {'name': 'TableFilterPartitions', 'parts': [0], 'keep': True}),
ir.TableFilterIntervals(table_read, [hl.utils.Interval(hl.utils.Struct(row_idx=0), hl.utils.Struct(row_idx=10))], hl.tstruct(row_idx=hl.tint32), keep=False),
]
return table_irs
def value_irs(self):
b = ir.TrueIR()
c = ir.Ref('c')
i = ir.I32(5)
j = ir.I32(7)
st = ir.Str('Hail')
a = ir.Ref('a')
aa = ir.Ref('aa')
da = ir.Ref('da')
nd = ir.Ref('nd')
v = ir.Ref('v')
s = ir.Ref('s')
t = ir.Ref('t')
call = ir.Ref('call')
table = ir.TableRange(5, 3)
matrix_read = ir.MatrixRead(
ir.MatrixNativeReader(
resource('backward_compatability/1.0.0/matrix_table/0.hmt'),
None, False), False, False)
block_matrix_read = ir.BlockMatrixRead(
ir.BlockMatrixNativeReader('fake_file_path'))
value_irs = [
i,
ir.I64(5),
ir.F32(3.14),
ir.F64(3.14), s,
ir.TrueIR(),
ir.FalseIR(),
ir.Void(),
ir.Cast(i, hl.tfloat64),
ir.NA(hl.tint32),
ir.IsNA(i),
ir.If(b, i, j),
ir.Coalesce(i, j),
ir.Let('v', i, v),
ir.Ref('x'),
ir.ApplyBinaryPrimOp('+', i, j),
ir.ApplyUnaryPrimOp('-', i),
ir.ApplyComparisonOp('EQ', i, j),
ir.MakeArray([i, ir.NA(hl.tint32), ir.I32(-3)],
hl.tarray(hl.tint32)),
ir.ArrayRef(a, i, ir.Str('foo')),
ir.ArrayLen(a),
ir.ArrayRange(ir.I32(0), ir.I32(5), ir.I32(1)),
ir.ArraySort(a, 'l', 'r',
ir.ApplyComparisonOp("LT", ir.Ref('l'), ir.Ref('r'))),
ir.ToSet(a),
ir.ToDict(da),
ir.ToArray(a),
ir.MakeNDArray(
ir.MakeArray([ir.F64(-1.0), ir.F64(1.0)],
hl.tarray(hl.tfloat64)),
ir.MakeTuple([ir.I64(1), ir.I64(2)]), ir.TrueIR()),
ir.NDArrayShape(nd),
ir.NDArrayReshape(nd, ir.MakeTuple([ir.I64(5)])),
ir.NDArrayRef(nd, [ir.I64(1), ir.I64(2)]),
ir.NDArrayMap(nd, 'v', v),
ir.NDArrayMatMul(nd, nd),
ir.LowerBoundOnOrderedCollection(a, i, True),
ir.GroupByKey(da),
ir.ArrayMap(a, 'v', v),
ir.ArrayZip([a, a], ['a', 'b'], ir.TrueIR(), 'ExtendNA'),
ir.ArrayFilter(a, 'v', v),
ir.ArrayFlatMap(aa, 'v', v),
ir.ArrayFold(a, ir.I32(0), 'x', 'v', v),
ir.ArrayScan(a, ir.I32(0), 'x', 'v', v),
ir.ArrayLeftJoinDistinct(a, a, 'l', 'r', ir.I32(0), ir.I32(1)),
ir.ArrayFor(a, 'v', ir.Void()),
ir.AggFilter(ir.TrueIR(), ir.I32(0), False),
ir.AggExplode(ir.ArrayRange(ir.I32(0), ir.I32(2), ir.I32(1)), 'x',
ir.I32(0), False),
ir.AggGroupBy(ir.TrueIR(), ir.I32(0), False),
ir.AggArrayPerElement(
ir.ArrayRange(ir.I32(0), ir.I32(2), ir.I32(1)), 'x', 'y',
ir.I32(0), False),
ir.ApplyAggOp('Collect', [], [ir.I32(0)]),
ir.ApplyScanOp('Collect', [], [ir.I32(0)]),
ir.ApplyAggOp('CallStats', [ir.I32(2)], [call]),
ir.ApplyAggOp('TakeBy', [ir.I32(10)],
[ir.F64(-2.11), ir.F64(-2.11)]),
ir.Begin([ir.Void()]),
ir.MakeStruct([('x', i)]),
ir.SelectFields(s, ['x', 'z']),
ir.InsertFields(s, [('x', i)], None),
ir.GetField(s, 'x'),
ir.MakeTuple([i, b]),
ir.GetTupleElement(t, 1),
ir.Die(ir.Str('mumblefoo'), hl.tfloat64),
ir.Apply('&&', hl.tbool, b, c),
ir.Apply('toFloat64', hl.tfloat64, i),
ir.Literal(hl.tarray(hl.tint32), [1, 2, None]),
ir.TableCount(table),
ir.TableGetGlobals(table),
ir.TableCollect(ir.TableKeyBy(table, [], False)),
ir.TableToValueApply(table, {'name': 'ForceCountTable'}),
ir.MatrixToValueApply(matrix_read,
{'name': 'ForceCountMatrixTable'}),
ir.TableAggregate(
table,
ir.MakeStruct([('foo', ir.ApplyAggOp('Collect', [],
[ir.I32(0)]))])),
ir.TableWrite(
table,
ir.TableNativeWriter(new_temp_file(), False, True,
"fake_codec_spec$$")),
ir.TableWrite(
table, ir.TableTextWriter(new_temp_file(), None, True, 0,
",")),
ir.MatrixAggregate(
matrix_read,
ir.MakeStruct([('foo', ir.ApplyAggOp('Collect', [],
[ir.I32(0)]))])),
ir.MatrixWrite(
matrix_read,
ir.MatrixNativeWriter(new_temp_file(), False, False, "", None,
None)),
ir.MatrixWrite(
matrix_read,
ir.MatrixNativeWriter(
new_temp_file(), False, False, "",
'[{"start":{"row_idx":0},"end":{"row_idx": 10},"includeStart":true,"includeEnd":false}]',
hl.dtype('array<interval<struct{row_idx:int32}>>'))),
ir.MatrixWrite(
matrix_read,
ir.MatrixVCFWriter(new_temp_file(), None, False, None)),
ir.MatrixWrite(matrix_read, ir.MatrixGENWriter(new_temp_file(),
4)),
ir.MatrixWrite(matrix_read, ir.MatrixPLINKWriter(new_temp_file())),
ir.MatrixMultiWrite([matrix_read, matrix_read],
ir.MatrixNativeMultiWriter(
new_temp_file(), False, False)),
ir.BlockMatrixWrite(
block_matrix_read,
ir.BlockMatrixNativeWriter('fake_file_path', False, False,
False)),
ir.LiftMeOut(ir.I32(1))
]
return value_irs
def value_irs(self):
b = ir.TrueIR()
c = ir.Ref('c')
i = ir.I32(5)
j = ir.I32(7)
st = ir.Str('Hail')
a = ir.Ref('a')
aa = ir.Ref('aa')
da = ir.Ref('da')
v = ir.Ref('v')
s = ir.Ref('s')
t = ir.Ref('t')
call = ir.Ref('call')
table = ir.TableRange(5, 3)
matrix_read = ir.MatrixRead(ir.MatrixNativeReader(
resource('backward_compatability/1.0.0/matrix_table/0.hmt')), False, False)
value_irs = [
i, ir.I64(5), ir.F32(3.14), ir.F64(3.14), s, ir.TrueIR(), ir.FalseIR(), ir.Void(),
ir.Cast(i, hl.tfloat64),
ir.NA(hl.tint32),
ir.IsNA(i),
ir.If(b, i, j),
ir.Let('v', i, v),
ir.Ref('x'),
ir.ApplyBinaryOp('+', i, j),
ir.ApplyUnaryOp('-', i),
ir.ApplyComparisonOp('EQ', i, j),
ir.MakeArray([i, ir.NA(hl.tint32), ir.I32(-3)], hl.tarray(hl.tint32)),
ir.ArrayRef(a, i),
ir.ArrayLen(a),
ir.ArrayRange(ir.I32(0), ir.I32(5), ir.I32(1)),
ir.ArraySort(a, b, False),
ir.ToSet(a),
ir.ToDict(da),
ir.ToArray(a),
ir.LowerBoundOnOrderedCollection(a, i, True),
ir.GroupByKey(da),
ir.ArrayMap(a, 'v', v),
ir.ArrayFilter(a, 'v', v),
ir.ArrayFlatMap(aa, 'v', v),
ir.ArrayFold(a, ir.I32(0), 'x', 'v', v),
ir.ArrayScan(a, ir.I32(0), 'x', 'v', v),
ir.ArrayFor(a, 'v', ir.Void()),
ir.AggFilter(ir.TrueIR(), ir.I32(0)),
ir.AggExplode(ir.ArrayRange(ir.I32(0), ir.I32(2), ir.I32(1)), 'x', ir.I32(0)),
ir.AggGroupBy(ir.TrueIR(), ir.I32(0)),
ir.ApplyAggOp('Collect', [], None, [ir.I32(0)]),
ir.ApplyScanOp('Collect', [], None, [ir.I32(0)]),
ir.ApplyAggOp('Histogram', [ir.F64(-5.0), ir.F64(5.0), ir.I32(100)], None, [ir.F64(-2.11)]),
ir.ApplyAggOp('CallStats', [], [ir.I32(2)], [call]),
ir.ApplyAggOp('TakeBy', [ir.I32(10)], None, [ir.F64(-2.11), ir.F64(-2.11)]),
ir.Begin([ir.Void()]),
ir.MakeStruct([('x', i)]),
ir.SelectFields(s, ['x', 'z']),
ir.InsertFields(s, [('x', i)]),
ir.GetField(s, 'x'),
ir.MakeTuple([i, b]),
ir.GetTupleElement(t, 1),
ir.StringSlice(st, ir.I32(1), ir.I32(2)),
ir.StringLength(st),
ir.In(2, hl.tfloat64),
ir.Die(ir.Str('mumblefoo'), hl.tfloat64),
ir.Apply('&&', b, c),
ir.Apply('toFloat64', i),
ir.Uniroot('x', ir.F64(3.14), ir.F64(-5.0), ir.F64(5.0)),
ir.Literal(hl.tarray(hl.tint32), [1, 2, None]),
ir.TableCount(table),
ir.TableGetGlobals(table),
ir.TableCollect(table),
ir.TableAggregate(table, ir.MakeStruct([('foo', ir.ApplyAggOp('Collect', [], None, [ir.I32(0)]))])),
ir.TableWrite(table, new_temp_file(), False, True, "fake_codec_spec$$"),
ir.MatrixAggregate(matrix_read, ir.MakeStruct([('foo', ir.ApplyAggOp('Collect', [], None, [ir.I32(0)]))])),
ir.MatrixWrite(matrix_read, ir.MatrixNativeWriter(new_temp_file(), False, False, "")),
ir.MatrixWrite(matrix_read, ir.MatrixVCFWriter(new_temp_file(), None, False, None)),
ir.MatrixWrite(matrix_read, ir.MatrixGENWriter(new_temp_file(), 4)),
ir.MatrixWrite(matrix_read, ir.MatrixPLINKWriter(new_temp_file())),
]
return value_irs
