def visit_IfExp(self, node):
r'''
We'd like to be able to use the "?" operator in C++, but the
problem is lazy evaluation. It could be when we look at one or the
other item, a bunch of prep work has to be done - and that will
show up in separate statements. So we have to use if/then/else with
a result value.
'''
# The result we'll store everything in.
result = crep.cpp_variable(unique_name("if_else_result"),
self._gc.current_scope(),
cpp_type=ctyp.terminal("double"))
self._gc.declare_variable(result)
# We always have to evaluate the test.
current_scope = self._gc.current_scope()
test_expr = self.get_rep(node.test)
self._gc.add_statement(statement.iftest(test_expr))
if_scope = self._gc.current_scope()
# Next, we do the true and false if statement.
self._gc.add_statement(
statement.set_var(result, self.get_rep(node.body)))
self._gc.set_scope(if_scope)
self._gc.pop_scope()
self._gc.add_statement(statement.elsephrase())
self._gc.add_statement(
statement.set_var(result, self.get_rep(node.orelse)))
self._gc.set_scope(current_scope)
# Done, the result is the rep of this node!
node.rep = result
self._result = result
def visit_BoolOp(self, node):
'''A bool op like And or Or on a set of values
This is a bit more complex than just "anding" things as we want to make sure to short-circuit the
evaluation if we need to.
'''
# The result of this test
result = crep.cpp_variable(unique_name('bool_op'),
self._gc.current_scope(),
cpp_type='bool')
self._gc.declare_variable(result)
# How we check and short-circuit depends on if we are doing and or or.
check_expr = result.as_cpp() if type(
node.op) == ast.And else '!{0}'.format(result.as_cpp())
check = crep.cpp_value(check_expr,
self._gc.current_scope(),
cpp_type='bool')
first = True
scope = self._gc.current_scope()
for v in node.values:
if not first:
self._gc.add_statement(statement.iftest(check))
rep_v = self.get_rep(v)
self._gc.add_statement(statement.set_var(result, rep_v))
if not first:
self._gc.set_scope(scope)
first = False
# Cache result variable so those above us have something to use.
self._result = result
node.rep = result
def create_accumulator(self,
seq: crep.cpp_sequence,
initial_value=None,
acc_type=None):
'Helper to create an accumulator for the Aggregate function'
accumulator_type = acc_type if acc_type is not None else seq.sequence_value(
).cpp_type()
if not check_accumulator_type(accumulator_type):
raise BaseException(
"Aggregate over a sequence of type '{0}' is not supported.".
format(str(accumulator_type)))
# Getting the scope level right is tricky. If this is a straight sequence of items, then we want the sequence level.
# But if this is a sequence of sequences, we are aggregating over the sequence itself. So we need to do it one level
# up from where the iterator is running on the interior sequence.
seq_val = seq.sequence_value()
if isinstance(seq_val, crep.cpp_sequence):
accumulator_scope = seq_val.iterator_value().scope()[-1]
else:
accumulator_scope = seq.iterator_value().scope()[-1]
accumulator = crep.cpp_variable(
unique_name("aggResult"),
accumulator_scope,
accumulator_type,
initial_value=initial_value if initial_value is not None else
crep.cpp_value(accumulator_type.default_value(),
self._gc.current_scope(), accumulator_type))
accumulator_scope.declare_variable(accumulator)
return accumulator, accumulator_scope
def DeltaRAst(call_node):
r'''
User is trying to call DeltaR (eta1, phi1, eta2, phi2). We turn this into a call
into a call into ROOT that does the phi subtraction (I can never get that crap right).
'''
if len(call_node.args) != 4:
raise BaseException("Calling DeltaR(eta1, phi1, eta2, phi2) has incorrect number of arguments")
# Create an AST to hold onto all of this.
r = cpp_ast.CPPCodeValue()
# We need TVector2 included here
r.include_files += ['TVector2.h', 'math.h']
# We need all four arguments pushed through.
r.args = ['eta1', 'phi1', 'eta2', 'phi2']
# The code is three steps
r.running_code += ['auto d_eta = eta1 - eta2;']
r.running_code += ['auto d_phi = TVector2::Phi_mpi_pi(phi1-phi2);']
r.running_code += ['auto result = sqrt(d_eta*d_eta + d_phi*d_phi);']
r.result = 'result'
r.result_rep = lambda sc: crep.cpp_variable(unique_name('delta_r'), scope=sc, cpp_type=ctyp.terminal('double'))
call_node.func = r
return call_node
def extract_result_TTree(rep, run_dir):
'''
Given the tree info, return the appropriate data to the client. In this case it is just
a full filename along with a tree name which the client can then use to open the tree.
rep: the cpp_tree_rep of the file that is going to come back.
run_dir: location where run wrote all the files
returns:
path_to_root_file: Full path to the file, copied into the local directory
tree_name: the name of the tree.
'''
# This would be trivial other than the directory is about to be deleted. So in this case we are going to
# need to copy the file over somewhere else!
df_name = os.path.join(os.getcwd(), unique_name("datafile") + ".root")
df_current = os.path.join(run_dir, 'data.root')
if not os.path.exists(df_current):
raise BaseException(
"Unable to find ROOT file '{0}' which contains the data we need!".
format(df_current))
shutil.copyfile(df_current, df_name)
return namedtuple('TTreeFile', 'file tree_name')(df_name, rep.treename)
def visit_Call_Aggregate_only(self, node: ast.Call):
'''
- (acc lambda): the accumulator is set to the first element, and the lambda is called to
update it after that. This is called `agg_only`.
'''
agg_lambda = node.args[0]
# Get the sequence we are calling against and the accumulator
seq = self.as_sequence(node.func.value)
accumulator, accumulator_scope = self.create_accumulator(seq)
# We have to do a simple if statement here so that the first time through we can set the
# accumulator, and the second time we can add to it.
is_first_iter = crep.cpp_variable(unique_name("is_first"),
self._gc.current_scope(),
cpp_type=ctyp.terminal('bool'),
initial_value=crep.cpp_value(
'true', self._gc.current_scope(),
ctyp.terminal('bool')))
accumulator_scope.declare_variable(is_first_iter)
# Set the scope where we will be doing the accumulation
sv = seq.sequence_value()
if isinstance(sv, crep.cpp_sequence):
self._gc.set_scope(sv.iterator_value().scope()[-1])
else:
self._gc.set_scope(sv.scope())
# Code up if statement to select out the first element.
if_first = statement.iftest(is_first_iter)
self._gc.add_statement(if_first)
self._gc.add_statement(
statement.set_var(
is_first_iter,
crep.cpp_value("false", self._gc.current_scope(),
ctyp.terminal('bool'))))
# Set the accumulator
self._gc.add_statement(
statement.set_var(accumulator, seq.sequence_value()))
self._gc.pop_scope()
# Now do the if statement and make the call to calculate the accumulation.
self._gc.add_statement(statement.elsephrase())
call = ast.Call(
func=agg_lambda,
args=[accumulator.as_ast(),
seq.sequence_value().as_ast()])
self._gc.add_statement(
statement.set_var(accumulator, self.get_rep(call)))
# Finally, since this is a terminal, we need to pop off the top.
self._gc.set_scope(accumulator_scope)
# Cache the results in our result in case we are skipping nodes in the AST.
node.rep = accumulator
self._result = accumulator
def getCollection(info, call_node):
r'''
Return a cpp ast for accessing the jet collection
'''
# Get the name jet collection to look at.
if len(call_node.args) != 1:
raise BaseException(
"Calling {0} - only one argument is allowed".format(
info['function_name']))
if type(call_node.args[0]) is not ast.Str:
raise BaseException(
"Calling {0} - only acceptable argument is a string".format(
info['function_name']))
# Fill in the CPP block next.
r = cpp_ast.CPPCodeValue()
r.args = [
'collection_name',
]
r.include_files += info['include_files']
r.running_code += [
'{0} result = 0;'.format(info['container_type']),
'ANA_CHECK (evtStore()->retrieve(result, collection_name));'
]
r.result = 'result'
is_collection = info['is_collection'] if 'is_collection' in info else True
if is_collection:
r.result_rep = lambda scope: crep.cpp_collection(
unique_name(info['function_name'].lower()),
scope=scope,
collection_type=info['container_type'])
else:
r.result_rep = lambda scope: crep.cpp_variable(
unique_name(info['function_name'].lower()),
scope=scope,
cpp_type=info['container_type'])
# Replace it as the function that is going to get called.
call_node.func = r
return call_node
def make_sequence_from_collection(self, rep):
'''
Take a collection and produce a sequence. Eventually this should likely be some sort of
plug-in architecture. But for now, we will just assume everything looks like a vector. When
it comes time for a new type, this is where it should go.
'''
element_type = rep.cpp_type().element_type()
iterator_value = crep.cpp_value(unique_name("i_obj"), None,
element_type)
l = statement.loop(iterator_value, crep.dereference_var(rep))
self._gc.add_statement(l)
iterator_value.reset_scope(self._gc.current_scope())
# For a new sequence like this the sequence and iterator value are the same
return crep.cpp_sequence(iterator_value, iterator_value)
def visit_First(self, node):
'We are in a sequence. Take the first element of the sequence and use that for future things.'
# Make sure we are in a loop.
seq = self.as_sequence(node.source)
# The First terminal works by protecting the code with a if (first_time) {} block.
# We need to declare the first_time variable outside the block where the thing we are
# looping over here is defined. This is a little tricky, so we delegate to another method.
loop_scope = seq.iterator_value().scope()
outside_block_scope = loop_scope[-1]
# Define the variable to track this outside that block.
is_first = crep.cpp_variable(unique_name('is_first'),
outside_block_scope,
cpp_type=ctyp.terminal('bool'),
initial_value=crep.cpp_value(
'true', self._gc.current_scope(),
ctyp.terminal('bool')))
outside_block_scope.declare_variable(is_first)
# Now, as long as is_first is true, we can execute things inside this statement.
# The trick is putting the if statement in the right place. We need to locate it just one level
# below where we defined the scope above.
s = statement.iftest(is_first)
s.add_statement(
statement.set_var(
is_first,
crep.cpp_value('false', None, cpp_type=ctyp.terminal('bool'))))
sv = seq.sequence_value()
if isinstance(sv, crep.cpp_sequence):
self._gc.set_scope(sv.iterator_value().scope()[-1])
else:
self._gc.set_scope(sv.scope())
self._gc.add_statement(s)
# If we just found the first sequence in a sequence, return that.
# Otherwise return a new version of the value.
first_value = sv if isinstance(
sv, crep.cpp_sequence) else sv.copy_with_new_scope(
self._gc.current_scope())
node.rep = first_value
self._result = first_value
def getAttributeFloatAst(call_node: ast.Call):
r'''
Return an attribute on one of the xAOD objects.
'''
# Get the name of the moment out
if len(call_node.args) != 1:
raise BaseException("Calling getMomentFloat - only one argument is allowed")
if type(call_node.args[0]) is not ast.Str:
raise BaseException("Calling getMomentFloat - only acceptable argument is a string")
r = cpp_ast.CPPCodeValue()
# We don't need include files for this - just quick access
r.args = ['moment_name',]
r.replacement_instance_obj = ('obj_j', call_node.func.value.id)
r.running_code += ['float result = obj_j->getAttribute<float>(moment_name);']
r.result = 'result'
r.result_rep = lambda sc: crep.cpp_variable(unique_name("jet_attrib"), scope=sc, cpp_type=ctyp.terminal('float'))
# Replace it as the function that is going to get called.
call_node.func = r
return call_node
def getAttributeVectorFloatAst(call_node: ast.Call):
r'''
Return a cpp ast accessing a vector of doubles for an xAOD attribute
'''
# Get the name of the moment out
if len(call_node.args) != 1:
raise BaseException("Calling getMomentFloat - only one argument is allowed")
if type(call_node.args[0]) is not ast.Str:
raise BaseException("Calling getMomentFloat - only acceptable argument is a string")
r = cpp_ast.CPPCodeValue()
r.include_files += ['vector']
r.args = ['moment_name',]
r.replacement_instance_obj = ('obj_j', call_node.func.value.id)
r.running_code += ['auto result = obj_j->getAttribute<std::vector<double>>(moment_name);']
r.result = 'result'
r.result_rep = lambda sc: crep.cpp_collection(unique_name("jet_vec_attrib_"), scope=sc, collection_type=ctyp.collection(ctyp.terminal('double')))
# Replace it as the function that is going to get called.
call_node.func = r
return call_node
def visit_resultTTree(self, node):
'''This AST means we are taking an iterable and converting it to a ROOT file.
'''
# Get the representations for each variable. We expect some sort of structure
# for the variables - or perhaps a single variable.
self.generic_visit(node)
v_rep_not_norm = self.as_sequence(node.source)
# What we have is a sequence of the data values we want to fill. The iterator at play
# here is the scope we want to use to run our Fill() calls to the TTree.
scope_fill = v_rep_not_norm.iterator_value().scope()
# Clean the data up so it is uniform and the next bit can proceed smoothly.
# If we don't have a tuple of data to log, turn it into a tuple.
seq_values = v_rep_not_norm.sequence_value()
if not isinstance(seq_values, crep.cpp_tuple):
seq_values = crep.cpp_tuple((v_rep_not_norm.sequence_value(), ),
scope_fill)
# Make sure the number of items is the same as the number of columns specified.
if len(seq_values.values()) != len(node.column_names):
raise BaseException(
"Number of columns ({0}) is not the same as labels ({1}) in TTree creation"
.format(len(seq_values.values()), len(node.column_names)))
# Next, look at each on in turn to decide if it is a vector or a simple variable.
# Create a variable that we will fill for each one.
var_names = [
(name,
crep.cpp_variable(unique_name(name, is_class_var=True),
self._gc.current_scope(),
cpp_type=get_ttree_type(rep)))
for name, rep in zip(node.column_names, seq_values.values())
]
# For each incoming variable, we need to declare something we are going to write.
for cv in var_names:
self._gc.declare_class_variable(cv[1])
# Next, emit the booking code
tree_name = unique_name("analysis_tree")
self._gc.add_book_statement(statement.book_ttree(tree_name, var_names))
# Note that the output file and tree are what we are going to return.
node.rep = rh.cpp_ttree_rep("data.root", tree_name,
self._gc.current_scope())
# For each varable we need to save, cache it or push it back, depending.
# Make sure that it happens at the proper scope, where what we are after is defined!
s_orig = self._gc.current_scope()
for e_rep, e_name in zip(seq_values.values(), var_names):
# Set the scope. Normally we want to do it where the variable was calculated
# (think of cases when you have to calculate something with a `push_back`),
# but if the variable was already calculated, we want to make sure we are at least
# in the same scope as the tree fill.
e_rep_scope = e_rep.scope() if not isinstance(
e_rep, crep.cpp_sequence) else e_rep.sequence_value().scope()
if e_rep_scope.starts_with(scope_fill):
self._gc.set_scope(e_rep_scope)
else:
self._gc.set_scope(scope_fill)
# If the variable is something we are iterating over, then fill it, otherwise,
# just set it.
if rep_is_collection(e_rep):
self._gc.add_statement(
statement.push_back(e_name[1], e_rep.sequence_value()))
else:
self._gc.add_statement(statement.set_var(e_name[1], e_rep))
# The fill statement. This should happen at the scope where the tuple was defined.
self._gc.set_scope(scope_fill)
self._gc.add_statement(statement.ttree_fill(tree_name))
for e in zip(seq_values.values(), var_names):
if rep_is_collection(e[0]):
self._gc.add_statement(statement.container_clear(e[1][1]))
# And we are a terminal, so pop off the block.
self._gc.set_scope(s_orig)
self._gc.pop_scope()
def __init__(self, filename, treename, scope):
cpp_value.__init__(self, unique_name("pandas"), scope,
ctyp.terminal("pandasdf"))
self.filename = filename
self.treename = treename
def __init__(self, filename, treename, scope):
cpp_value.__init__(self, unique_name("awk_array"), scope,
ctyp.terminal("awkwardarray"))
self.filename = filename
self.treename = treename
def __init__(self, filename, treename, scope):
cpp_value.__init__(self, unique_name("ttree_rep"), scope,
ctyp.terminal("ttreetfile"))
self.filename = filename
self.treename = treename