def test_0459_types():
plain_plain = ak.Array([0.0, 1.1, 2.2, 3.3, 4.4])
array_plain = ak.with_parameter(plain_plain, "__array__", "zoinks")
plain_isdoc = ak.with_parameter(plain_plain, "__doc__", "This is a zoink.")
array_isdoc = ak.with_parameter(array_plain, "__doc__", "This is a zoink.")
assert ak.parameters(plain_plain) == {}
assert ak.parameters(array_plain) == {"__array__": "zoinks"}
assert ak.parameters(plain_isdoc) == {"__doc__": "This is a zoink."}
assert ak.parameters(array_isdoc) == {
"__array__": "zoinks",
"__doc__": "This is a zoink.",
}
assert ak.type(plain_plain) == ak.type(plain_plain)
assert ak.type(array_plain) == ak.type(array_plain)
assert ak.type(plain_isdoc) == ak.type(plain_isdoc)
assert ak.type(array_isdoc) == ak.type(array_isdoc)
assert ak.type(plain_plain) != ak.type(array_plain)
assert ak.type(array_plain) != ak.type(plain_plain)
assert ak.type(plain_plain) == ak.type(plain_isdoc)
assert ak.type(plain_isdoc) == ak.type(plain_plain)
assert ak.type(array_plain) == ak.type(array_isdoc)
assert ak.type(array_isdoc) == ak.type(array_plain)
assert ak.type(plain_isdoc) != ak.type(array_isdoc)
assert ak.type(array_isdoc) != ak.type(plain_isdoc)
def test_arraytype_3():
text = str(
ak.with_parameter(ak.Array([[1, 2, 3], [], [4, 5]]), "wonky", {
"other": "JSON"
}).type)
parsedtype = ak.types.from_datashape(text)
assert str(parsedtype) == text
def test_arraytype_2():
text = str(
ak.with_parameter(ak.Array([[1, 2, 3], [], [4, 5]]), "wonky",
"string").type)
parsedtype = ak.types.from_datashape(text, True)
assert isinstance(parsedtype, ak.types.ArrayType)
assert str(parsedtype) == text
def test_jim21():
text = str(
ak.with_parameter(ak.Array([1, 2, 3, None, [1], [1, 2], [1, 2, 3]]),
"wonky", "string").type)
print(text)
parsedtype = deduce_type(text)
assert str(parsedtype) == text
def test_jim19():
text = str(
ak.with_parameter(ak.to_regular(ak.Array([[1, 2], [3, 4], [5, 6]])),
"wonky", "string").type)
print(text)
parsedtype = deduce_type(text)
assert str(parsedtype) == text
def test_jim16():
text = str(
ak.with_parameter(ak.Array([(1, 1.1), (2, 2.2), (3, 3.3)]), "wonky",
"string").type)
print(text)
parsedtype = deduce_type(text)
assert str(parsedtype) == text
def test_jim8():
text = str(
ak.with_parameter(ak.Array([[1, 2, 3], [], [4, 5]]), "wonky",
"string").type)
print(text)
parsedtype = deduce_type(text)
assert str(parsedtype) == text
def test_jim9():
text = str(
ak.with_parameter(ak.Array([[1, 2, 3], [], [4, 5]]), "wonky", {
"other": "JSON"
}).type)
print(text)
parsedtype = deduce_type(text)
assert str(parsedtype) == text
def test_arraytype_15():
text = str(
ak.with_parameter(
ak.Array([1, 2, 3, None, [1], [1, 2], [1, 2, 3]]), "wonky", "string"
).type
)
parsedtype = ak.types.from_datashape(text)
assert str(parsedtype) == text
def test_arraytype_13():
text = str(
ak.with_parameter(
ak.to_regular(ak.Array([[1, 2], [3, 4], [5, 6]])), "wonky", "string"
).type
)
parsedtype = ak.types.from_datashape(text)
assert str(parsedtype) == text
def test_arraytype_10():
text = str(
ak.with_parameter(
ak.Array([(1, 1.1), (2, 2.2), (3, 3.3)]), "wonky", "string"
).type
)
parsedtype = ak.types.from_datashape(text)
assert str(parsedtype) == text
def test_arraytype_8():
text = str(
ak.with_parameter(
ak.Array([{"x": 1, "y": 1.1}, {"x": 2, "y": 2.2}, {"x": 3, "y": 3.3}]),
"wonky",
"string",
).type
)
parsedtype = ak.types.from_datashape(text)
assert str(parsedtype) == text
def add_systematic(
self,
name: str,
kind: str,
what: Union[str, List[str], Tuple[str]],
varying_function: Callable,
):
"""
name: str, name of the systematic variation / uncertainty source
kind: str, the name of the kind of systematic variation
what: Union[str, List[str], Tuple[str]], name what gets varied,
this could be a list or tuple of column names
varying_function: Union[function, bound method], a function that describes how 'what' is varied, it must close over all non-event-data arguments.
"""
self._ensure_systematics()
if name in awkward.fields(self["__systematics__"]):
raise ValueError(
f"{name} already exists as a systematic for this object!")
if kind not in self._systematic_kinds:
raise ValueError(
f"{kind} is not an available systematics type, please add it and try again!"
)
wrap = partial(awkward_rewrap,
like_what=self["__systematics__"],
gfunc=rewrap_recordarray)
flat = (self
if isinstance(self, coffea.nanoevents.methods.base.NanoEvents)
else awkward.flatten(self))
if what == "weight" and "__ones__" not in awkward.fields(
flat["__systematics__"]):
flat["__systematics__",
"__ones__"] = numpy.ones(len(flat), dtype=numpy.float32)
rendered_type = flat.layout.parameters["__record__"]
as_syst_type = awkward.with_parameter(flat, "__record__", kind)
as_syst_type._build_variations(name, what, varying_function)
variations = as_syst_type.describe_variations()
flat["__systematics__", name] = awkward.zip(
{
v: getattr(as_syst_type, v)(name, what, rendered_type)
for v in variations
},
depth_limit=1,
with_name=f"{name}Systematics",
)
self["__systematics__"] = wrap(flat["__systematics__"])
self.behavior[("__typestr__", f"{name}Systematics")] = f"{kind}"
def test_jim14():
text = str(
ak.with_parameter(
ak.Array([{
"x": 1,
"y": 1.1
}, {
"x": 2,
"y": 2.2
}, {
"x": 3,
"y": 3.3
}]),
"wonky",
"string",
).type)
print(text)
parsedtype = deduce_type(text)
assert str(parsedtype) == text
def _element_link_multiple(events, obj, link_field, with_name=None):
link = obj[link_field]
key = link.m_persKey
index = link.m_persIndex
unique_keys = [
i for i in numpy.unique(
awkward.to_numpy(awkward.flatten(key, axis=None))) if i != 0
]
def where(unique_keys):
target_name = _hash_to_target_name[unique_keys[0]]
mask = key == unique_keys[0]
global_index = _get_global_index(events[target_name], obj._eventindex,
index)
global_index = awkward.where(mask, global_index, -1)
links = events[target_name]._apply_global_index(global_index)
if len(unique_keys) == 1:
return links
return awkward.where(mask, links, where(unique_keys[1:]))
out = where(unique_keys).mask[key != 0]
if with_name is not None:
out = awkward.with_parameter(out, "__record__", with_name)
return out
def test_0459():
plain_plain = ak.Array([0.0, 1.1, 2.2, 3.3, 4.4])
array_plain = ak.with_parameter(plain_plain, "__array__", "zoinks")
plain_isdoc = ak.with_parameter(plain_plain, "__doc__", "This is a zoink.")
array_isdoc = ak.with_parameter(array_plain, "__doc__", "This is a zoink.")
assert ak.parameters(plain_plain) == {}
assert ak.parameters(array_plain) == {"__array__": "zoinks"}
assert ak.parameters(plain_isdoc) == {"__doc__": "This is a zoink."}
assert ak.parameters(array_isdoc) == {
"__array__": "zoinks",
"__doc__": "This is a zoink.",
}
assert ak.parameters(ak.concatenate([plain_plain, plain_plain])) == {}
assert ak.parameters(ak.concatenate([array_plain, array_plain])) == {
"__array__": "zoinks"
}
assert ak.parameters(ak.concatenate([plain_isdoc, plain_isdoc])) == {
"__doc__": "This is a zoink."
}
assert ak.parameters(ak.concatenate([array_isdoc, array_isdoc])) == {
"__array__": "zoinks",
"__doc__": "This is a zoink.",
}
assert isinstance(
ak.concatenate([plain_plain, plain_plain]).layout,
ak.layout.NumpyArray)
assert isinstance(
ak.concatenate([array_plain, array_plain]).layout,
ak.layout.NumpyArray)
assert isinstance(
ak.concatenate([plain_isdoc, plain_isdoc]).layout,
ak.layout.NumpyArray)
assert isinstance(
ak.concatenate([array_isdoc, array_isdoc]).layout,
ak.layout.NumpyArray)
assert ak.parameters(ak.concatenate([plain_plain, array_plain])) == {}
assert ak.parameters(ak.concatenate([plain_isdoc, array_isdoc])) == {}
assert ak.parameters(ak.concatenate([array_plain, plain_plain])) == {}
assert ak.parameters(ak.concatenate([array_isdoc, plain_isdoc])) == {}
assert isinstance(
ak.concatenate([plain_plain, array_plain]).layout,
ak.layout.UnionArray8_64)
assert isinstance(
ak.concatenate([plain_isdoc, array_isdoc]).layout,
ak.layout.UnionArray8_64)
assert isinstance(
ak.concatenate([array_plain, plain_plain]).layout,
ak.layout.UnionArray8_64)
assert isinstance(
ak.concatenate([array_isdoc, plain_isdoc]).layout,
ak.layout.UnionArray8_64)
assert ak.parameters(ak.concatenate([plain_plain, plain_isdoc])) == {}
assert ak.parameters(ak.concatenate([array_plain, array_isdoc])) == {
"__array__": "zoinks"
}
assert ak.parameters(ak.concatenate([plain_isdoc, plain_plain])) == {}
assert ak.parameters(ak.concatenate([array_isdoc, array_plain])) == {
"__array__": "zoinks"
}
assert isinstance(
ak.concatenate([plain_plain, plain_isdoc]).layout,
ak.layout.NumpyArray)
assert isinstance(
ak.concatenate([array_plain, array_isdoc]).layout,
ak.layout.NumpyArray)
assert isinstance(
ak.concatenate([plain_isdoc, plain_plain]).layout,
ak.layout.NumpyArray)
assert isinstance(
ak.concatenate([array_isdoc, array_plain]).layout,
ak.layout.NumpyArray)
