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serge-sans-paille/pythran
pythran/passmanager.py
uncamel
def uncamel(name): """Transform CamelCase naming convention into C-ish convention.""" s1 = re.sub('(.)([A-Z][a-z]+)', r'\1_\2', name) return re.sub('([a-z0-9])([A-Z])', r'\1_\2', s1).lower()
python
def uncamel(name): """Transform CamelCase naming convention into C-ish convention.""" s1 = re.sub('(.)([A-Z][a-z]+)', r'\1_\2', name) return re.sub('([a-z0-9])([A-Z])', r'\1_\2', s1).lower()
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Transform CamelCase naming convention into C-ish convention.
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7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/passmanager.py#L19-L22
237,701
serge-sans-paille/pythran
pythran/passmanager.py
ContextManager.verify_dependencies
def verify_dependencies(self): """ Checks no analysis are called before a transformation, as the transformation could invalidate the analysis. """ for i in range(1, len(self.deps)): assert(not (isinstance(self.deps[i], Transformation) and isinstance(self.deps[i - 1], Analysis)) ), "invalid dep order for %s" % self
python
def verify_dependencies(self): """ Checks no analysis are called before a transformation, as the transformation could invalidate the analysis. """ for i in range(1, len(self.deps)): assert(not (isinstance(self.deps[i], Transformation) and isinstance(self.deps[i - 1], Analysis)) ), "invalid dep order for %s" % self
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Checks no analysis are called before a transformation, as the transformation could invalidate the analysis.
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7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/passmanager.py#L58-L67
237,702
serge-sans-paille/pythran
pythran/passmanager.py
ContextManager.prepare
def prepare(self, node): '''Gather analysis result required by this analysis''' if isinstance(node, ast.Module): self.ctx.module = node elif isinstance(node, ast.FunctionDef): self.ctx.function = node for D in self.deps: d = D() d.attach(self.passmanager, self.ctx) result = d.run(node) setattr(self, uncamel(D.__name__), result)
python
def prepare(self, node): '''Gather analysis result required by this analysis''' if isinstance(node, ast.Module): self.ctx.module = node elif isinstance(node, ast.FunctionDef): self.ctx.function = node for D in self.deps: d = D() d.attach(self.passmanager, self.ctx) result = d.run(node) setattr(self, uncamel(D.__name__), result)
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Gather analysis result required by this analysis
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7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/passmanager.py#L80-L91
237,703
serge-sans-paille/pythran
pythran/passmanager.py
Transformation.run
def run(self, node): """ Apply transformation and dependencies and fix new node location.""" n = super(Transformation, self).run(node) if self.update: ast.fix_missing_locations(n) self.passmanager._cache.clear() return n
python
def run(self, node): """ Apply transformation and dependencies and fix new node location.""" n = super(Transformation, self).run(node) if self.update: ast.fix_missing_locations(n) self.passmanager._cache.clear() return n
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Apply transformation and dependencies and fix new node location.
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7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/passmanager.py#L183-L189
237,704
serge-sans-paille/pythran
pythran/passmanager.py
Transformation.apply
def apply(self, node): """ Apply transformation and return if an update happened. """ new_node = self.run(node) return self.update, new_node
python
def apply(self, node): """ Apply transformation and return if an update happened. """ new_node = self.run(node) return self.update, new_node
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Apply transformation and return if an update happened.
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7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/passmanager.py#L191-L194
237,705
serge-sans-paille/pythran
pythran/passmanager.py
PassManager.gather
def gather(self, analysis, node): "High-level function to call an `analysis' on a `node'" assert issubclass(analysis, Analysis) a = analysis() a.attach(self) return a.run(node)
python
def gather(self, analysis, node): "High-level function to call an `analysis' on a `node'" assert issubclass(analysis, Analysis) a = analysis() a.attach(self) return a.run(node)
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High-level function to call an `analysis' on a `node
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7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/passmanager.py#L206-L211
237,706
serge-sans-paille/pythran
pythran/passmanager.py
PassManager.dump
def dump(self, backend, node): '''High-level function to call a `backend' on a `node' to generate code for module `module_name'.''' assert issubclass(backend, Backend) b = backend() b.attach(self) return b.run(node)
python
def dump(self, backend, node): '''High-level function to call a `backend' on a `node' to generate code for module `module_name'.''' assert issubclass(backend, Backend) b = backend() b.attach(self) return b.run(node)
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High-level function to call a `backend' on a `node' to generate code for module `module_name'.
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7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/passmanager.py#L213-L219
237,707
serge-sans-paille/pythran
pythran/passmanager.py
PassManager.apply
def apply(self, transformation, node): ''' High-level function to call a `transformation' on a `node'. If the transformation is an analysis, the result of the analysis is displayed. ''' assert issubclass(transformation, (Transformation, Analysis)) a = transformation() a.attach(self) res = a.apply(node) # the transformation updated the AST, so analyse may need to be rerun # we could use a finer-grain caching system, and provide a way to flag # some analyses as `unmodified' by the transformation, as done in LLVM # (and PIPS ;-) if a.update: self._cache.clear() return res
python
def apply(self, transformation, node): ''' High-level function to call a `transformation' on a `node'. If the transformation is an analysis, the result of the analysis is displayed. ''' assert issubclass(transformation, (Transformation, Analysis)) a = transformation() a.attach(self) res = a.apply(node) # the transformation updated the AST, so analyse may need to be rerun # we could use a finer-grain caching system, and provide a way to flag # some analyses as `unmodified' by the transformation, as done in LLVM # (and PIPS ;-) if a.update: self._cache.clear() return res
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High-level function to call a `transformation' on a `node'. If the transformation is an analysis, the result of the analysis is displayed.
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7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/passmanager.py#L221-L238
237,708
serge-sans-paille/pythran
pythran/types/conversion.py
pytype_to_ctype
def pytype_to_ctype(t): """ Python -> pythonic type binding. """ if isinstance(t, List): return 'pythonic::types::list<{0}>'.format( pytype_to_ctype(t.__args__[0]) ) elif isinstance(t, Set): return 'pythonic::types::set<{0}>'.format( pytype_to_ctype(t.__args__[0]) ) elif isinstance(t, Dict): tkey, tvalue = t.__args__ return 'pythonic::types::dict<{0},{1}>'.format(pytype_to_ctype(tkey), pytype_to_ctype(tvalue)) elif isinstance(t, Tuple): return 'decltype(pythonic::types::make_tuple({0}))'.format( ", ".join('std::declval<{}>()'.format(pytype_to_ctype(p)) for p in t.__args__) ) elif isinstance(t, NDArray): dtype = pytype_to_ctype(t.__args__[0]) ndim = len(t.__args__) - 1 shapes = ','.join(('long' if s.stop == -1 or s.stop is None else 'std::integral_constant<long, {}>'.format( s.stop) ) for s in t.__args__[1:]) pshape = 'pythonic::types::pshape<{0}>'.format(shapes) arr = 'pythonic::types::ndarray<{0},{1}>'.format( dtype, pshape) if t.__args__[1].start == -1: return 'pythonic::types::numpy_texpr<{0}>'.format(arr) elif any(s.step is not None and s.step < 0 for s in t.__args__[1:]): slices = ", ".join(['pythonic::types::normalized_slice'] * ndim) return 'pythonic::types::numpy_gexpr<{0},{1}>'.format(arr, slices) else: return arr elif isinstance(t, Pointer): return 'pythonic::types::pointer<{0}>'.format( pytype_to_ctype(t.__args__[0]) ) elif isinstance(t, Fun): return 'pythonic::types::cfun<{0}({1})>'.format( pytype_to_ctype(t.__args__[-1]), ", ".join(pytype_to_ctype(arg) for arg in t.__args__[:-1]), ) elif t in PYTYPE_TO_CTYPE_TABLE: return PYTYPE_TO_CTYPE_TABLE[t] else: raise NotImplementedError("{0}:{1}".format(type(t), t))
python
def pytype_to_ctype(t): """ Python -> pythonic type binding. """ if isinstance(t, List): return 'pythonic::types::list<{0}>'.format( pytype_to_ctype(t.__args__[0]) ) elif isinstance(t, Set): return 'pythonic::types::set<{0}>'.format( pytype_to_ctype(t.__args__[0]) ) elif isinstance(t, Dict): tkey, tvalue = t.__args__ return 'pythonic::types::dict<{0},{1}>'.format(pytype_to_ctype(tkey), pytype_to_ctype(tvalue)) elif isinstance(t, Tuple): return 'decltype(pythonic::types::make_tuple({0}))'.format( ", ".join('std::declval<{}>()'.format(pytype_to_ctype(p)) for p in t.__args__) ) elif isinstance(t, NDArray): dtype = pytype_to_ctype(t.__args__[0]) ndim = len(t.__args__) - 1 shapes = ','.join(('long' if s.stop == -1 or s.stop is None else 'std::integral_constant<long, {}>'.format( s.stop) ) for s in t.__args__[1:]) pshape = 'pythonic::types::pshape<{0}>'.format(shapes) arr = 'pythonic::types::ndarray<{0},{1}>'.format( dtype, pshape) if t.__args__[1].start == -1: return 'pythonic::types::numpy_texpr<{0}>'.format(arr) elif any(s.step is not None and s.step < 0 for s in t.__args__[1:]): slices = ", ".join(['pythonic::types::normalized_slice'] * ndim) return 'pythonic::types::numpy_gexpr<{0},{1}>'.format(arr, slices) else: return arr elif isinstance(t, Pointer): return 'pythonic::types::pointer<{0}>'.format( pytype_to_ctype(t.__args__[0]) ) elif isinstance(t, Fun): return 'pythonic::types::cfun<{0}({1})>'.format( pytype_to_ctype(t.__args__[-1]), ", ".join(pytype_to_ctype(arg) for arg in t.__args__[:-1]), ) elif t in PYTYPE_TO_CTYPE_TABLE: return PYTYPE_TO_CTYPE_TABLE[t] else: raise NotImplementedError("{0}:{1}".format(type(t), t))
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Python -> pythonic type binding.
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7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/types/conversion.py#L43-L92
237,709
serge-sans-paille/pythran
pythran/types/conversion.py
pytype_to_pretty_type
def pytype_to_pretty_type(t): """ Python -> docstring type. """ if isinstance(t, List): return '{0} list'.format(pytype_to_pretty_type(t.__args__[0])) elif isinstance(t, Set): return '{0} set'.format(pytype_to_pretty_type(t.__args__[0])) elif isinstance(t, Dict): tkey, tvalue = t.__args__ return '{0}:{1} dict'.format(pytype_to_pretty_type(tkey), pytype_to_pretty_type(tvalue)) elif isinstance(t, Tuple): return '({0})'.format( ", ".join(pytype_to_pretty_type(p) for p in t.__args__) ) elif isinstance(t, NDArray): dtype = pytype_to_pretty_type(t.__args__[0]) ndim = len(t.__args__) - 1 arr = '{0}[{1}]'.format( dtype, ','.join(':' if s.stop in (-1, None) else str(s.stop) for s in t.__args__[1:])) # it's a transpose! if t.__args__[1].start == -1: return '{} order(F)'.format(arr) elif any(s.step is not None and s.step < 0 for s in t.__args__[1:]): return '{0}[{1}]'.format(dtype, ','.join(['::'] * ndim)) else: return arr elif isinstance(t, Pointer): dtype = pytype_to_pretty_type(t.__args__[0]) return '{}*'.format(dtype) elif isinstance(t, Fun): rtype = pytype_to_pretty_type(t.__args__[-1]) argtypes = [pytype_to_pretty_type(arg) for arg in t.__args__[:-1]] return '{}({})'.format(rtype, ", ".join(argtypes)) elif t in PYTYPE_TO_CTYPE_TABLE: return t.__name__ else: raise NotImplementedError("{0}:{1}".format(type(t), t))
python
def pytype_to_pretty_type(t): """ Python -> docstring type. """ if isinstance(t, List): return '{0} list'.format(pytype_to_pretty_type(t.__args__[0])) elif isinstance(t, Set): return '{0} set'.format(pytype_to_pretty_type(t.__args__[0])) elif isinstance(t, Dict): tkey, tvalue = t.__args__ return '{0}:{1} dict'.format(pytype_to_pretty_type(tkey), pytype_to_pretty_type(tvalue)) elif isinstance(t, Tuple): return '({0})'.format( ", ".join(pytype_to_pretty_type(p) for p in t.__args__) ) elif isinstance(t, NDArray): dtype = pytype_to_pretty_type(t.__args__[0]) ndim = len(t.__args__) - 1 arr = '{0}[{1}]'.format( dtype, ','.join(':' if s.stop in (-1, None) else str(s.stop) for s in t.__args__[1:])) # it's a transpose! if t.__args__[1].start == -1: return '{} order(F)'.format(arr) elif any(s.step is not None and s.step < 0 for s in t.__args__[1:]): return '{0}[{1}]'.format(dtype, ','.join(['::'] * ndim)) else: return arr elif isinstance(t, Pointer): dtype = pytype_to_pretty_type(t.__args__[0]) return '{}*'.format(dtype) elif isinstance(t, Fun): rtype = pytype_to_pretty_type(t.__args__[-1]) argtypes = [pytype_to_pretty_type(arg) for arg in t.__args__[:-1]] return '{}({})'.format(rtype, ", ".join(argtypes)) elif t in PYTYPE_TO_CTYPE_TABLE: return t.__name__ else: raise NotImplementedError("{0}:{1}".format(type(t), t))
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Python -> docstring type.
[ "Python", "-", ">", "docstring", "type", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/types/conversion.py#L95-L133
237,710
serge-sans-paille/pythran
pythran/types/tog.py
get_type
def get_type(name, env, non_generic): """Get the type of identifier name from the type environment env. Args: name: The identifier name env: The type environment mapping from identifier names to types non_generic: A set of non-generic TypeVariables Raises: ParseError: Raised if name is an undefined symbol in the type environment. """ if name in env: if isinstance(env[name], MultiType): return clone(env[name]) return fresh(env[name], non_generic) else: print("W: Undefined symbol {0}".format(name)) return TypeVariable()
python
def get_type(name, env, non_generic): """Get the type of identifier name from the type environment env. Args: name: The identifier name env: The type environment mapping from identifier names to types non_generic: A set of non-generic TypeVariables Raises: ParseError: Raised if name is an undefined symbol in the type environment. """ if name in env: if isinstance(env[name], MultiType): return clone(env[name]) return fresh(env[name], non_generic) else: print("W: Undefined symbol {0}".format(name)) return TypeVariable()
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Get the type of identifier name from the type environment env. Args: name: The identifier name env: The type environment mapping from identifier names to types non_generic: A set of non-generic TypeVariables Raises: ParseError: Raised if name is an undefined symbol in the type environment.
[ "Get", "the", "type", "of", "identifier", "name", "from", "the", "type", "environment", "env", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/types/tog.py#L1170-L1188
237,711
serge-sans-paille/pythran
pythran/types/tog.py
fresh
def fresh(t, non_generic): """Makes a copy of a type expression. The type t is copied. The generic variables are duplicated and the non_generic variables are shared. Args: t: A type to be copied. non_generic: A set of non-generic TypeVariables """ mappings = {} # A mapping of TypeVariables to TypeVariables def freshrec(tp): p = prune(tp) if isinstance(p, TypeVariable): if is_generic(p, non_generic): if p not in mappings: mappings[p] = TypeVariable() return mappings[p] else: return p elif isinstance(p, dict): return p # module elif isinstance(p, Collection): return Collection(*[freshrec(x) for x in p.types]) elif isinstance(p, Scalar): return Scalar([freshrec(x) for x in p.types]) elif isinstance(p, TypeOperator): return TypeOperator(p.name, [freshrec(x) for x in p.types]) elif isinstance(p, MultiType): return MultiType([freshrec(x) for x in p.types]) else: assert False, "missing freshrec case {}".format(type(p)) return freshrec(t)
python
def fresh(t, non_generic): """Makes a copy of a type expression. The type t is copied. The generic variables are duplicated and the non_generic variables are shared. Args: t: A type to be copied. non_generic: A set of non-generic TypeVariables """ mappings = {} # A mapping of TypeVariables to TypeVariables def freshrec(tp): p = prune(tp) if isinstance(p, TypeVariable): if is_generic(p, non_generic): if p not in mappings: mappings[p] = TypeVariable() return mappings[p] else: return p elif isinstance(p, dict): return p # module elif isinstance(p, Collection): return Collection(*[freshrec(x) for x in p.types]) elif isinstance(p, Scalar): return Scalar([freshrec(x) for x in p.types]) elif isinstance(p, TypeOperator): return TypeOperator(p.name, [freshrec(x) for x in p.types]) elif isinstance(p, MultiType): return MultiType([freshrec(x) for x in p.types]) else: assert False, "missing freshrec case {}".format(type(p)) return freshrec(t)
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Makes a copy of a type expression. The type t is copied. The generic variables are duplicated and the non_generic variables are shared. Args: t: A type to be copied. non_generic: A set of non-generic TypeVariables
[ "Makes", "a", "copy", "of", "a", "type", "expression", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/types/tog.py#L1191-L1226
237,712
serge-sans-paille/pythran
pythran/types/tog.py
prune
def prune(t): """Returns the currently defining instance of t. As a side effect, collapses the list of type instances. The function Prune is used whenever a type expression has to be inspected: it will always return a type expression which is either an uninstantiated type variable or a type operator; i.e. it will skip instantiated variables, and will actually prune them from expressions to remove long chains of instantiated variables. Args: t: The type to be pruned Returns: An uninstantiated TypeVariable or a TypeOperator """ if isinstance(t, TypeVariable): if t.instance is not None: t.instance = prune(t.instance) return t.instance return t
python
def prune(t): """Returns the currently defining instance of t. As a side effect, collapses the list of type instances. The function Prune is used whenever a type expression has to be inspected: it will always return a type expression which is either an uninstantiated type variable or a type operator; i.e. it will skip instantiated variables, and will actually prune them from expressions to remove long chains of instantiated variables. Args: t: The type to be pruned Returns: An uninstantiated TypeVariable or a TypeOperator """ if isinstance(t, TypeVariable): if t.instance is not None: t.instance = prune(t.instance) return t.instance return t
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Returns the currently defining instance of t. As a side effect, collapses the list of type instances. The function Prune is used whenever a type expression has to be inspected: it will always return a type expression which is either an uninstantiated type variable or a type operator; i.e. it will skip instantiated variables, and will actually prune them from expressions to remove long chains of instantiated variables. Args: t: The type to be pruned Returns: An uninstantiated TypeVariable or a TypeOperator
[ "Returns", "the", "currently", "defining", "instance", "of", "t", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/types/tog.py#L1352-L1372
237,713
serge-sans-paille/pythran
pythran/types/tog.py
occurs_in_type
def occurs_in_type(v, type2): """Checks whether a type variable occurs in a type expression. Note: Must be called with v pre-pruned Args: v: The TypeVariable to be tested for type2: The type in which to search Returns: True if v occurs in type2, otherwise False """ pruned_type2 = prune(type2) if pruned_type2 == v: return True elif isinstance(pruned_type2, TypeOperator): return occurs_in(v, pruned_type2.types) return False
python
def occurs_in_type(v, type2): """Checks whether a type variable occurs in a type expression. Note: Must be called with v pre-pruned Args: v: The TypeVariable to be tested for type2: The type in which to search Returns: True if v occurs in type2, otherwise False """ pruned_type2 = prune(type2) if pruned_type2 == v: return True elif isinstance(pruned_type2, TypeOperator): return occurs_in(v, pruned_type2.types) return False
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Checks whether a type variable occurs in a type expression. Note: Must be called with v pre-pruned Args: v: The TypeVariable to be tested for type2: The type in which to search Returns: True if v occurs in type2, otherwise False
[ "Checks", "whether", "a", "type", "variable", "occurs", "in", "a", "type", "expression", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/types/tog.py#L1394-L1411
237,714
serge-sans-paille/pythran
pythran/transformations/expand_imports.py
ExpandImports.visit_Module
def visit_Module(self, node): """ Visit the whole module and add all import at the top level. >> import numpy.linalg Becomes >> import numpy """ node.body = [k for k in (self.visit(n) for n in node.body) if k] imports = [ast.Import([ast.alias(i, mangle(i))]) for i in self.imports] node.body = imports + node.body ast.fix_missing_locations(node) return node
python
def visit_Module(self, node): """ Visit the whole module and add all import at the top level. >> import numpy.linalg Becomes >> import numpy """ node.body = [k for k in (self.visit(n) for n in node.body) if k] imports = [ast.Import([ast.alias(i, mangle(i))]) for i in self.imports] node.body = imports + node.body ast.fix_missing_locations(node) return node
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Visit the whole module and add all import at the top level. >> import numpy.linalg Becomes >> import numpy
[ "Visit", "the", "whole", "module", "and", "add", "all", "import", "at", "the", "top", "level", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/transformations/expand_imports.py#L46-L61
237,715
serge-sans-paille/pythran
pythran/transformations/expand_imports.py
ExpandImports.visit_Name
def visit_Name(self, node): """ Replace name with full expanded name. Examples -------- >> from numpy.linalg import det >> det(a) Becomes >> numpy.linalg.det(a) """ if node.id in self.symbols: symbol = path_to_node(self.symbols[node.id]) if not getattr(symbol, 'isliteral', lambda: False)(): parent = self.ancestors[node][-1] blacklist = (ast.Tuple, ast.List, ast.Set, ast.Return) if isinstance(parent, blacklist): raise PythranSyntaxError( "Unsupported module identifier manipulation", node) new_node = path_to_attr(self.symbols[node.id]) new_node.ctx = node.ctx ast.copy_location(new_node, node) return new_node return node
python
def visit_Name(self, node): """ Replace name with full expanded name. Examples -------- >> from numpy.linalg import det >> det(a) Becomes >> numpy.linalg.det(a) """ if node.id in self.symbols: symbol = path_to_node(self.symbols[node.id]) if not getattr(symbol, 'isliteral', lambda: False)(): parent = self.ancestors[node][-1] blacklist = (ast.Tuple, ast.List, ast.Set, ast.Return) if isinstance(parent, blacklist): raise PythranSyntaxError( "Unsupported module identifier manipulation", node) new_node = path_to_attr(self.symbols[node.id]) new_node.ctx = node.ctx ast.copy_location(new_node, node) return new_node return node
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Replace name with full expanded name. Examples -------- >> from numpy.linalg import det >> det(a) Becomes >> numpy.linalg.det(a)
[ "Replace", "name", "with", "full", "expanded", "name", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/transformations/expand_imports.py#L134-L164
237,716
serge-sans-paille/pythran
pythran/analyses/argument_effects.py
save_function_effect
def save_function_effect(module): """ Recursively save function effect for pythonic functions. """ for intr in module.values(): if isinstance(intr, dict): # Submodule case save_function_effect(intr) else: fe = FunctionEffects(intr) IntrinsicArgumentEffects[intr] = fe if isinstance(intr, intrinsic.Class): save_function_effect(intr.fields)
python
def save_function_effect(module): """ Recursively save function effect for pythonic functions. """ for intr in module.values(): if isinstance(intr, dict): # Submodule case save_function_effect(intr) else: fe = FunctionEffects(intr) IntrinsicArgumentEffects[intr] = fe if isinstance(intr, intrinsic.Class): save_function_effect(intr.fields)
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Recursively save function effect for pythonic functions.
[ "Recursively", "save", "function", "effect", "for", "pythonic", "functions", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/analyses/argument_effects.py#L35-L44
237,717
serge-sans-paille/pythran
pythran/analyses/argument_effects.py
ArgumentEffects.prepare
def prepare(self, node): """ Initialise arguments effects as this analyse is inter-procedural. Initialisation done for Pythonic functions and default value set for user defined functions. """ super(ArgumentEffects, self).prepare(node) for n in self.global_declarations.values(): fe = FunctionEffects(n) self.node_to_functioneffect[n] = fe self.result.add_node(fe)
python
def prepare(self, node): """ Initialise arguments effects as this analyse is inter-procedural. Initialisation done for Pythonic functions and default value set for user defined functions. """ super(ArgumentEffects, self).prepare(node) for n in self.global_declarations.values(): fe = FunctionEffects(n) self.node_to_functioneffect[n] = fe self.result.add_node(fe)
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Initialise arguments effects as this analyse is inter-procedural. Initialisation done for Pythonic functions and default value set for user defined functions.
[ "Initialise", "arguments", "effects", "as", "this", "analyse", "is", "inter", "-", "procedural", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/analyses/argument_effects.py#L62-L73
237,718
serge-sans-paille/pythran
pythran/backend.py
CxxFunction.process_locals
def process_locals(self, node, node_visited, *skipped): """ Declare variable local to node and insert declaration before. Not possible for function yielding values. """ local_vars = self.scope[node].difference(skipped) local_vars = local_vars.difference(self.openmp_deps) if not local_vars: return node_visited # no processing locals_visited = [] for varname in local_vars: vartype = self.typeof(varname) decl = Statement("{} {}".format(vartype, varname)) locals_visited.append(decl) self.ldecls.difference_update(local_vars) return Block(locals_visited + [node_visited])
python
def process_locals(self, node, node_visited, *skipped): """ Declare variable local to node and insert declaration before. Not possible for function yielding values. """ local_vars = self.scope[node].difference(skipped) local_vars = local_vars.difference(self.openmp_deps) if not local_vars: return node_visited # no processing locals_visited = [] for varname in local_vars: vartype = self.typeof(varname) decl = Statement("{} {}".format(vartype, varname)) locals_visited.append(decl) self.ldecls.difference_update(local_vars) return Block(locals_visited + [node_visited])
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Declare variable local to node and insert declaration before. Not possible for function yielding values.
[ "Declare", "variable", "local", "to", "node", "and", "insert", "declaration", "before", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/backend.py#L217-L234
237,719
serge-sans-paille/pythran
pythran/backend.py
CxxFunction.process_omp_attachements
def process_omp_attachements(self, node, stmt, index=None): """ Add OpenMP pragma on the correct stmt in the correct order. stmt may be a list. On this case, index have to be specify to add OpenMP on the correct statement. """ omp_directives = metadata.get(node, OMPDirective) if omp_directives: directives = list() for directive in omp_directives: directive.deps = [self.visit(dep) for dep in directive.deps] directives.append(directive) if index is None: stmt = AnnotatedStatement(stmt, directives) else: stmt[index] = AnnotatedStatement(stmt[index], directives) return stmt
python
def process_omp_attachements(self, node, stmt, index=None): """ Add OpenMP pragma on the correct stmt in the correct order. stmt may be a list. On this case, index have to be specify to add OpenMP on the correct statement. """ omp_directives = metadata.get(node, OMPDirective) if omp_directives: directives = list() for directive in omp_directives: directive.deps = [self.visit(dep) for dep in directive.deps] directives.append(directive) if index is None: stmt = AnnotatedStatement(stmt, directives) else: stmt[index] = AnnotatedStatement(stmt[index], directives) return stmt
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Add OpenMP pragma on the correct stmt in the correct order. stmt may be a list. On this case, index have to be specify to add OpenMP on the correct statement.
[ "Add", "OpenMP", "pragma", "on", "the", "correct", "stmt", "in", "the", "correct", "order", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/backend.py#L244-L261
237,720
serge-sans-paille/pythran
pythran/backend.py
CxxFunction.visit_Assign
def visit_Assign(self, node): """ Create Assign node for final Cxx representation. It tries to handle multi assignment like: >> a = b = c = 2 If only one local variable is assigned, typing is added: >> int a = 2; TODO: Handle case of multi-assignement for some local variables. Finally, process OpenMP clause like #pragma omp atomic """ if not all(isinstance(n, (ast.Name, ast.Subscript)) for n in node.targets): raise PythranSyntaxError( "Must assign to an identifier or a subscript", node) value = self.visit(node.value) targets = [self.visit(t) for t in node.targets] alltargets = "= ".join(targets) islocal = (len(targets) == 1 and isinstance(node.targets[0], ast.Name) and node.targets[0].id in self.scope[node] and node.targets[0].id not in self.openmp_deps) if islocal: # remove this decls from local decls self.ldecls.difference_update(t.id for t in node.targets) # add a local declaration if self.types[node.targets[0]].iscombined(): alltargets = '{} {}'.format(self.typeof(node.targets[0]), alltargets) elif isinstance(self.types[node.targets[0]], self.types.builder.Assignable): alltargets = '{} {}'.format( self.types.builder.Assignable( self.types.builder.NamedType( 'decltype({})'.format(value))), alltargets) else: assert isinstance(self.types[node.targets[0]], self.types.builder.Lazy) alltargets = '{} {}'.format( self.types.builder.Lazy( self.types.builder.NamedType( 'decltype({})'.format(value))), alltargets) stmt = Assign(alltargets, value) return self.process_omp_attachements(node, stmt)
python
def visit_Assign(self, node): """ Create Assign node for final Cxx representation. It tries to handle multi assignment like: >> a = b = c = 2 If only one local variable is assigned, typing is added: >> int a = 2; TODO: Handle case of multi-assignement for some local variables. Finally, process OpenMP clause like #pragma omp atomic """ if not all(isinstance(n, (ast.Name, ast.Subscript)) for n in node.targets): raise PythranSyntaxError( "Must assign to an identifier or a subscript", node) value = self.visit(node.value) targets = [self.visit(t) for t in node.targets] alltargets = "= ".join(targets) islocal = (len(targets) == 1 and isinstance(node.targets[0], ast.Name) and node.targets[0].id in self.scope[node] and node.targets[0].id not in self.openmp_deps) if islocal: # remove this decls from local decls self.ldecls.difference_update(t.id for t in node.targets) # add a local declaration if self.types[node.targets[0]].iscombined(): alltargets = '{} {}'.format(self.typeof(node.targets[0]), alltargets) elif isinstance(self.types[node.targets[0]], self.types.builder.Assignable): alltargets = '{} {}'.format( self.types.builder.Assignable( self.types.builder.NamedType( 'decltype({})'.format(value))), alltargets) else: assert isinstance(self.types[node.targets[0]], self.types.builder.Lazy) alltargets = '{} {}'.format( self.types.builder.Lazy( self.types.builder.NamedType( 'decltype({})'.format(value))), alltargets) stmt = Assign(alltargets, value) return self.process_omp_attachements(node, stmt)
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Create Assign node for final Cxx representation. It tries to handle multi assignment like: >> a = b = c = 2 If only one local variable is assigned, typing is added: >> int a = 2; TODO: Handle case of multi-assignement for some local variables. Finally, process OpenMP clause like #pragma omp atomic
[ "Create", "Assign", "node", "for", "final", "Cxx", "representation", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/backend.py#L392-L443
237,721
serge-sans-paille/pythran
pythran/backend.py
CxxFunction.gen_for
def gen_for(self, node, target, local_iter, local_iter_decl, loop_body): """ Create For representation on iterator for Cxx generation. Examples -------- >> "omp parallel for" >> for i in xrange(10): >> ... do things ... Becomes >> "omp parallel for shared(__iterX)" >> for(decltype(__iterX)::iterator __targetX = __iterX.begin(); __targetX < __iterX.end(); ++__targetX) >> auto&& i = *__targetX; >> ... do things ... It the case of not local variable, typing for `i` disappear and typing is removed for iterator in case of yields statement in function. """ # Choose target variable for iterator (which is iterator type) local_target = "__target{0}".format(id(node)) local_target_decl = self.types.builder.IteratorOfType(local_iter_decl) # If variable is local to the for body it's a ref to the iterator value # type if node.target.id in self.scope[node] and not hasattr(self, 'yields'): local_type = "auto&&" else: local_type = "" # Assign iterable value loop_body_prelude = Statement("{} {}= *{}".format(local_type, target, local_target)) # Create the loop assign = self.make_assign(local_target_decl, local_target, local_iter) loop = For("{}.begin()".format(assign), "{0} < {1}.end()".format(local_target, local_iter), "++{0}".format(local_target), Block([loop_body_prelude, loop_body])) return [self.process_omp_attachements(node, loop)]
python
def gen_for(self, node, target, local_iter, local_iter_decl, loop_body): """ Create For representation on iterator for Cxx generation. Examples -------- >> "omp parallel for" >> for i in xrange(10): >> ... do things ... Becomes >> "omp parallel for shared(__iterX)" >> for(decltype(__iterX)::iterator __targetX = __iterX.begin(); __targetX < __iterX.end(); ++__targetX) >> auto&& i = *__targetX; >> ... do things ... It the case of not local variable, typing for `i` disappear and typing is removed for iterator in case of yields statement in function. """ # Choose target variable for iterator (which is iterator type) local_target = "__target{0}".format(id(node)) local_target_decl = self.types.builder.IteratorOfType(local_iter_decl) # If variable is local to the for body it's a ref to the iterator value # type if node.target.id in self.scope[node] and not hasattr(self, 'yields'): local_type = "auto&&" else: local_type = "" # Assign iterable value loop_body_prelude = Statement("{} {}= *{}".format(local_type, target, local_target)) # Create the loop assign = self.make_assign(local_target_decl, local_target, local_iter) loop = For("{}.begin()".format(assign), "{0} < {1}.end()".format(local_target, local_iter), "++{0}".format(local_target), Block([loop_body_prelude, loop_body])) return [self.process_omp_attachements(node, loop)]
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Create For representation on iterator for Cxx generation. Examples -------- >> "omp parallel for" >> for i in xrange(10): >> ... do things ... Becomes >> "omp parallel for shared(__iterX)" >> for(decltype(__iterX)::iterator __targetX = __iterX.begin(); __targetX < __iterX.end(); ++__targetX) >> auto&& i = *__targetX; >> ... do things ... It the case of not local variable, typing for `i` disappear and typing is removed for iterator in case of yields statement in function.
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7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/backend.py#L460-L503
237,722
serge-sans-paille/pythran
pythran/backend.py
CxxFunction.handle_real_loop_comparison
def handle_real_loop_comparison(self, args, target, upper_bound): """ Handle comparison for real loops. Add the correct comparison operator if possible. """ # order is 1 for increasing loop, -1 for decreasing loop and 0 if it is # not known at compile time if len(args) <= 2: order = 1 elif isinstance(args[2], ast.Num): order = -1 + 2 * (int(args[2].n) > 0) elif isinstance(args[1], ast.Num) and isinstance(args[0], ast.Num): order = -1 + 2 * (int(args[1].n) > int(args[0].n)) else: order = 0 comparison = "{} < {}" if order == 1 else "{} > {}" comparison = comparison.format(target, upper_bound) return comparison
python
def handle_real_loop_comparison(self, args, target, upper_bound): """ Handle comparison for real loops. Add the correct comparison operator if possible. """ # order is 1 for increasing loop, -1 for decreasing loop and 0 if it is # not known at compile time if len(args) <= 2: order = 1 elif isinstance(args[2], ast.Num): order = -1 + 2 * (int(args[2].n) > 0) elif isinstance(args[1], ast.Num) and isinstance(args[0], ast.Num): order = -1 + 2 * (int(args[1].n) > int(args[0].n)) else: order = 0 comparison = "{} < {}" if order == 1 else "{} > {}" comparison = comparison.format(target, upper_bound) return comparison
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Handle comparison for real loops. Add the correct comparison operator if possible.
[ "Handle", "comparison", "for", "real", "loops", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/backend.py#L505-L524
237,723
serge-sans-paille/pythran
pythran/backend.py
CxxFunction.gen_c_for
def gen_c_for(self, node, local_iter, loop_body): """ Create C For representation for Cxx generation. Examples -------- >> for i in xrange(10): >> ... do things ... Becomes >> for(long i = 0, __targetX = 10; i < __targetX; i += 1) >> ... do things ... Or >> for i in xrange(10, 0, -1): >> ... do things ... Becomes >> for(long i = 10, __targetX = 0; i > __targetX; i += -1) >> ... do things ... It the case of not local variable, typing for `i` disappear """ args = node.iter.args step = "1L" if len(args) <= 2 else self.visit(args[2]) if len(args) == 1: lower_bound = "0L" upper_arg = 0 else: lower_bound = self.visit(args[0]) upper_arg = 1 upper_type = iter_type = "long " upper_value = self.visit(args[upper_arg]) if is_simple_expr(args[upper_arg]): upper_bound = upper_value # compatible with collapse else: upper_bound = "__target{0}".format(id(node)) # If variable is local to the for body keep it local... if node.target.id in self.scope[node] and not hasattr(self, 'yields'): loop = list() else: # For yield function, upper_bound is globals. iter_type = "" # Back one step to keep Python behavior (except for break) loop = [If("{} == {}".format(local_iter, upper_bound), Statement("{} -= {}".format(local_iter, step)))] comparison = self.handle_real_loop_comparison(args, local_iter, upper_bound) forloop = For("{0} {1}={2}".format(iter_type, local_iter, lower_bound), comparison, "{0} += {1}".format(local_iter, step), loop_body) loop.insert(0, self.process_omp_attachements(node, forloop)) # Store upper bound value if needed if upper_bound is upper_value: header = [] else: assgnt = self.make_assign(upper_type, upper_bound, upper_value) header = [Statement(assgnt)] return header, loop
python
def gen_c_for(self, node, local_iter, loop_body): """ Create C For representation for Cxx generation. Examples -------- >> for i in xrange(10): >> ... do things ... Becomes >> for(long i = 0, __targetX = 10; i < __targetX; i += 1) >> ... do things ... Or >> for i in xrange(10, 0, -1): >> ... do things ... Becomes >> for(long i = 10, __targetX = 0; i > __targetX; i += -1) >> ... do things ... It the case of not local variable, typing for `i` disappear """ args = node.iter.args step = "1L" if len(args) <= 2 else self.visit(args[2]) if len(args) == 1: lower_bound = "0L" upper_arg = 0 else: lower_bound = self.visit(args[0]) upper_arg = 1 upper_type = iter_type = "long " upper_value = self.visit(args[upper_arg]) if is_simple_expr(args[upper_arg]): upper_bound = upper_value # compatible with collapse else: upper_bound = "__target{0}".format(id(node)) # If variable is local to the for body keep it local... if node.target.id in self.scope[node] and not hasattr(self, 'yields'): loop = list() else: # For yield function, upper_bound is globals. iter_type = "" # Back one step to keep Python behavior (except for break) loop = [If("{} == {}".format(local_iter, upper_bound), Statement("{} -= {}".format(local_iter, step)))] comparison = self.handle_real_loop_comparison(args, local_iter, upper_bound) forloop = For("{0} {1}={2}".format(iter_type, local_iter, lower_bound), comparison, "{0} += {1}".format(local_iter, step), loop_body) loop.insert(0, self.process_omp_attachements(node, forloop)) # Store upper bound value if needed if upper_bound is upper_value: header = [] else: assgnt = self.make_assign(upper_type, upper_bound, upper_value) header = [Statement(assgnt)] return header, loop
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Create C For representation for Cxx generation. Examples -------- >> for i in xrange(10): >> ... do things ... Becomes >> for(long i = 0, __targetX = 10; i < __targetX; i += 1) >> ... do things ... Or >> for i in xrange(10, 0, -1): >> ... do things ... Becomes >> for(long i = 10, __targetX = 0; i > __targetX; i += -1) >> ... do things ... It the case of not local variable, typing for `i` disappear
[ "Create", "C", "For", "representation", "for", "Cxx", "generation", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/backend.py#L526-L596
237,724
serge-sans-paille/pythran
pythran/backend.py
CxxFunction.handle_omp_for
def handle_omp_for(self, node, local_iter): """ Fix OpenMP directives on For loops. Add the target as private variable as a new variable may have been introduce to handle cxx iterator. Also, add the iterator as shared variable as all 'parallel for chunck' have to use the same iterator. """ for directive in metadata.get(node, OMPDirective): if any(key in directive.s for key in (' parallel ', ' task ')): # Eventually add local_iter in a shared clause as iterable is # shared in the for loop (for every clause with datasharing) directive.s += ' shared({})' directive.deps.append(ast.Name(local_iter, ast.Load(), None)) directive.shared_deps.append(directive.deps[-1]) target = node.target assert isinstance(target, ast.Name) hasfor = 'for' in directive.s nodefault = 'default' not in directive.s noindexref = all(isinstance(x, ast.Name) and x.id != target.id for x in directive.deps) if (hasfor and nodefault and noindexref and target.id not in self.scope[node]): # Target is private by default in omp but iterator use may # introduce an extra variable directive.s += ' private({})' directive.deps.append(ast.Name(target.id, ast.Load(), None)) directive.private_deps.append(directive.deps[-1])
python
def handle_omp_for(self, node, local_iter): """ Fix OpenMP directives on For loops. Add the target as private variable as a new variable may have been introduce to handle cxx iterator. Also, add the iterator as shared variable as all 'parallel for chunck' have to use the same iterator. """ for directive in metadata.get(node, OMPDirective): if any(key in directive.s for key in (' parallel ', ' task ')): # Eventually add local_iter in a shared clause as iterable is # shared in the for loop (for every clause with datasharing) directive.s += ' shared({})' directive.deps.append(ast.Name(local_iter, ast.Load(), None)) directive.shared_deps.append(directive.deps[-1]) target = node.target assert isinstance(target, ast.Name) hasfor = 'for' in directive.s nodefault = 'default' not in directive.s noindexref = all(isinstance(x, ast.Name) and x.id != target.id for x in directive.deps) if (hasfor and nodefault and noindexref and target.id not in self.scope[node]): # Target is private by default in omp but iterator use may # introduce an extra variable directive.s += ' private({})' directive.deps.append(ast.Name(target.id, ast.Load(), None)) directive.private_deps.append(directive.deps[-1])
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Fix OpenMP directives on For loops. Add the target as private variable as a new variable may have been introduce to handle cxx iterator. Also, add the iterator as shared variable as all 'parallel for chunck' have to use the same iterator.
[ "Fix", "OpenMP", "directives", "on", "For", "loops", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/backend.py#L598-L628
237,725
serge-sans-paille/pythran
pythran/backend.py
CxxFunction.can_use_autofor
def can_use_autofor(self, node): """ Check if given for Node can use autoFor syntax. To use auto_for: - iterator should have local scope - yield should not be use - OpenMP pragma should not be use TODO : Yield should block only if it is use in the for loop, not in the whole function. """ auto_for = (isinstance(node.target, ast.Name) and node.target.id in self.scope[node] and node.target.id not in self.openmp_deps) auto_for &= not metadata.get(node, OMPDirective) auto_for &= node.target.id not in self.openmp_deps return auto_for
python
def can_use_autofor(self, node): """ Check if given for Node can use autoFor syntax. To use auto_for: - iterator should have local scope - yield should not be use - OpenMP pragma should not be use TODO : Yield should block only if it is use in the for loop, not in the whole function. """ auto_for = (isinstance(node.target, ast.Name) and node.target.id in self.scope[node] and node.target.id not in self.openmp_deps) auto_for &= not metadata.get(node, OMPDirective) auto_for &= node.target.id not in self.openmp_deps return auto_for
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Check if given for Node can use autoFor syntax. To use auto_for: - iterator should have local scope - yield should not be use - OpenMP pragma should not be use TODO : Yield should block only if it is use in the for loop, not in the whole function.
[ "Check", "if", "given", "for", "Node", "can", "use", "autoFor", "syntax", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/backend.py#L630-L647
237,726
serge-sans-paille/pythran
pythran/backend.py
CxxFunction.can_use_c_for
def can_use_c_for(self, node): """ Check if a for loop can use classic C syntax. To use C syntax: - target should not be assign in the loop - xrange should be use as iterator - order have to be known at compile time """ assert isinstance(node.target, ast.Name) if sys.version_info.major == 3: range_name = 'range' else: range_name = 'xrange' pattern_range = ast.Call(func=ast.Attribute( value=ast.Name(id='__builtin__', ctx=ast.Load(), annotation=None), attr=range_name, ctx=ast.Load()), args=AST_any(), keywords=[]) is_assigned = {node.target.id: False} [is_assigned.update(self.gather(IsAssigned, stmt)) for stmt in node.body] nodes = ASTMatcher(pattern_range).search(node.iter) if (node.iter not in nodes or is_assigned[node.target.id]): return False args = node.iter.args if len(args) < 3: return True if isinstance(args[2], ast.Num): return True return False
python
def can_use_c_for(self, node): """ Check if a for loop can use classic C syntax. To use C syntax: - target should not be assign in the loop - xrange should be use as iterator - order have to be known at compile time """ assert isinstance(node.target, ast.Name) if sys.version_info.major == 3: range_name = 'range' else: range_name = 'xrange' pattern_range = ast.Call(func=ast.Attribute( value=ast.Name(id='__builtin__', ctx=ast.Load(), annotation=None), attr=range_name, ctx=ast.Load()), args=AST_any(), keywords=[]) is_assigned = {node.target.id: False} [is_assigned.update(self.gather(IsAssigned, stmt)) for stmt in node.body] nodes = ASTMatcher(pattern_range).search(node.iter) if (node.iter not in nodes or is_assigned[node.target.id]): return False args = node.iter.args if len(args) < 3: return True if isinstance(args[2], ast.Num): return True return False
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Check if a for loop can use classic C syntax. To use C syntax: - target should not be assign in the loop - xrange should be use as iterator - order have to be known at compile time
[ "Check", "if", "a", "for", "loop", "can", "use", "classic", "C", "syntax", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/backend.py#L649-L682
237,727
serge-sans-paille/pythran
pythran/backend.py
CxxFunction.visit_For
def visit_For(self, node): """ Create For representation for Cxx generation. Examples -------- >> for i in xrange(10): >> ... work ... Becomes >> typename returnable<decltype(__builtin__.xrange(10))>::type __iterX = __builtin__.xrange(10); >> ... possible container size reservation ... >> for (auto&& i: __iterX) >> ... the work ... This function also handle assignment for local variables. We can notice that three kind of loop are possible: - Normal for loop on iterator - Autofor loop. - Normal for loop using integer variable iteration Kind of loop used depend on OpenMP, yield use and variable scope. """ if not isinstance(node.target, ast.Name): raise PythranSyntaxError( "Using something other than an identifier as loop target", node.target) target = self.visit(node.target) # Handle the body of the for loop loop_body = Block([self.visit(stmt) for stmt in node.body]) # Declare local variables at the top of the loop body loop_body = self.process_locals(node, loop_body, node.target.id) iterable = self.visit(node.iter) if self.can_use_c_for(node): header, loop = self.gen_c_for(node, target, loop_body) else: if self.can_use_autofor(node): header = [] self.ldecls.remove(node.target.id) autofor = AutoFor(target, iterable, loop_body) loop = [self.process_omp_attachements(node, autofor)] else: # Iterator declaration local_iter = "__iter{0}".format(id(node)) local_iter_decl = self.types.builder.Assignable( self.types[node.iter]) self.handle_omp_for(node, local_iter) # Assign iterable # For C loop, it avoids issues # if the upper bound is assigned in the loop asgnt = self.make_assign(local_iter_decl, local_iter, iterable) header = [Statement(asgnt)] loop = self.gen_for(node, target, local_iter, local_iter_decl, loop_body) # For xxxComprehension, it is replaced by a for loop. In this case, # pre-allocate size of container. for comp in metadata.get(node, metadata.Comprehension): header.append(Statement("pythonic::utils::reserve({0},{1})".format( comp.target, iterable))) return Block(header + loop)
python
def visit_For(self, node): """ Create For representation for Cxx generation. Examples -------- >> for i in xrange(10): >> ... work ... Becomes >> typename returnable<decltype(__builtin__.xrange(10))>::type __iterX = __builtin__.xrange(10); >> ... possible container size reservation ... >> for (auto&& i: __iterX) >> ... the work ... This function also handle assignment for local variables. We can notice that three kind of loop are possible: - Normal for loop on iterator - Autofor loop. - Normal for loop using integer variable iteration Kind of loop used depend on OpenMP, yield use and variable scope. """ if not isinstance(node.target, ast.Name): raise PythranSyntaxError( "Using something other than an identifier as loop target", node.target) target = self.visit(node.target) # Handle the body of the for loop loop_body = Block([self.visit(stmt) for stmt in node.body]) # Declare local variables at the top of the loop body loop_body = self.process_locals(node, loop_body, node.target.id) iterable = self.visit(node.iter) if self.can_use_c_for(node): header, loop = self.gen_c_for(node, target, loop_body) else: if self.can_use_autofor(node): header = [] self.ldecls.remove(node.target.id) autofor = AutoFor(target, iterable, loop_body) loop = [self.process_omp_attachements(node, autofor)] else: # Iterator declaration local_iter = "__iter{0}".format(id(node)) local_iter_decl = self.types.builder.Assignable( self.types[node.iter]) self.handle_omp_for(node, local_iter) # Assign iterable # For C loop, it avoids issues # if the upper bound is assigned in the loop asgnt = self.make_assign(local_iter_decl, local_iter, iterable) header = [Statement(asgnt)] loop = self.gen_for(node, target, local_iter, local_iter_decl, loop_body) # For xxxComprehension, it is replaced by a for loop. In this case, # pre-allocate size of container. for comp in metadata.get(node, metadata.Comprehension): header.append(Statement("pythonic::utils::reserve({0},{1})".format( comp.target, iterable))) return Block(header + loop)
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Create For representation for Cxx generation. Examples -------- >> for i in xrange(10): >> ... work ... Becomes >> typename returnable<decltype(__builtin__.xrange(10))>::type __iterX = __builtin__.xrange(10); >> ... possible container size reservation ... >> for (auto&& i: __iterX) >> ... the work ... This function also handle assignment for local variables. We can notice that three kind of loop are possible: - Normal for loop on iterator - Autofor loop. - Normal for loop using integer variable iteration Kind of loop used depend on OpenMP, yield use and variable scope.
[ "Create", "For", "representation", "for", "Cxx", "generation", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/backend.py#L688-L758
237,728
serge-sans-paille/pythran
pythran/backend.py
CxxFunction.visit_While
def visit_While(self, node): """ Create While node for Cxx generation. It is a cxx_loop to handle else clause. """ test = self.visit(node.test) body = [self.visit(n) for n in node.body] stmt = While(test, Block(body)) return self.process_omp_attachements(node, stmt)
python
def visit_While(self, node): """ Create While node for Cxx generation. It is a cxx_loop to handle else clause. """ test = self.visit(node.test) body = [self.visit(n) for n in node.body] stmt = While(test, Block(body)) return self.process_omp_attachements(node, stmt)
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Create While node for Cxx generation. It is a cxx_loop to handle else clause.
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7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/backend.py#L761-L770
237,729
serge-sans-paille/pythran
pythran/backend.py
CxxFunction.visit_Break
def visit_Break(self, _): """ Generate break statement in most case and goto for orelse clause. See Also : cxx_loop """ if self.break_handlers and self.break_handlers[-1]: return Statement("goto {0}".format(self.break_handlers[-1])) else: return Statement("break")
python
def visit_Break(self, _): """ Generate break statement in most case and goto for orelse clause. See Also : cxx_loop """ if self.break_handlers and self.break_handlers[-1]: return Statement("goto {0}".format(self.break_handlers[-1])) else: return Statement("break")
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Generate break statement in most case and goto for orelse clause. See Also : cxx_loop
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7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/backend.py#L827-L836
237,730
serge-sans-paille/pythran
pythran/backend.py
Cxx.visit_Module
def visit_Module(self, node): """ Build a compilation unit. """ # build all types deps = sorted(self.dependencies) headers = [Include(os.path.join("pythonic", "include", *t) + ".hpp") for t in deps] headers += [Include(os.path.join("pythonic", *t) + ".hpp") for t in deps] decls_n_defns = [self.visit(stmt) for stmt in node.body] decls, defns = zip(*[s for s in decls_n_defns if s]) nsbody = [s for ls in decls + defns for s in ls] ns = Namespace(pythran_ward + self.passmanager.module_name, nsbody) self.result = CompilationUnit(headers + [ns])
python
def visit_Module(self, node): """ Build a compilation unit. """ # build all types deps = sorted(self.dependencies) headers = [Include(os.path.join("pythonic", "include", *t) + ".hpp") for t in deps] headers += [Include(os.path.join("pythonic", *t) + ".hpp") for t in deps] decls_n_defns = [self.visit(stmt) for stmt in node.body] decls, defns = zip(*[s for s in decls_n_defns if s]) nsbody = [s for ls in decls + defns for s in ls] ns = Namespace(pythran_ward + self.passmanager.module_name, nsbody) self.result = CompilationUnit(headers + [ns])
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Build a compilation unit.
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7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/backend.py#L1275-L1289
237,731
serge-sans-paille/pythran
pythran/middlend.py
refine
def refine(pm, node, optimizations): """ Refine node in place until it matches pythran's expectations. """ # Sanitize input pm.apply(ExpandGlobals, node) pm.apply(ExpandImportAll, node) pm.apply(NormalizeTuples, node) pm.apply(ExpandBuiltins, node) pm.apply(ExpandImports, node) pm.apply(NormalizeMethodCalls, node) pm.apply(NormalizeIsNone, node) pm.apply(SplitStaticExpression, node) pm.apply(NormalizeStaticIf, node) pm.apply(NormalizeTuples, node) pm.apply(NormalizeException, node) pm.apply(NormalizeMethodCalls, node) # Some early optimizations pm.apply(ComprehensionPatterns, node) pm.apply(RemoveLambdas, node) pm.apply(RemoveNestedFunctions, node) pm.apply(NormalizeCompare, node) pm.gather(ExtendedSyntaxCheck, node) pm.apply(ListCompToGenexp, node) pm.apply(RemoveComprehension, node) pm.apply(RemoveNamedArguments, node) # sanitize input pm.apply(NormalizeReturn, node) pm.apply(UnshadowParameters, node) pm.apply(FalsePolymorphism, node) # some extra optimizations apply_optimisation = True while apply_optimisation: apply_optimisation = False for optimization in optimizations: apply_optimisation |= pm.apply(optimization, node)[0]
python
def refine(pm, node, optimizations): """ Refine node in place until it matches pythran's expectations. """ # Sanitize input pm.apply(ExpandGlobals, node) pm.apply(ExpandImportAll, node) pm.apply(NormalizeTuples, node) pm.apply(ExpandBuiltins, node) pm.apply(ExpandImports, node) pm.apply(NormalizeMethodCalls, node) pm.apply(NormalizeIsNone, node) pm.apply(SplitStaticExpression, node) pm.apply(NormalizeStaticIf, node) pm.apply(NormalizeTuples, node) pm.apply(NormalizeException, node) pm.apply(NormalizeMethodCalls, node) # Some early optimizations pm.apply(ComprehensionPatterns, node) pm.apply(RemoveLambdas, node) pm.apply(RemoveNestedFunctions, node) pm.apply(NormalizeCompare, node) pm.gather(ExtendedSyntaxCheck, node) pm.apply(ListCompToGenexp, node) pm.apply(RemoveComprehension, node) pm.apply(RemoveNamedArguments, node) # sanitize input pm.apply(NormalizeReturn, node) pm.apply(UnshadowParameters, node) pm.apply(FalsePolymorphism, node) # some extra optimizations apply_optimisation = True while apply_optimisation: apply_optimisation = False for optimization in optimizations: apply_optimisation |= pm.apply(optimization, node)[0]
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Refine node in place until it matches pythran's expectations.
[ "Refine", "node", "in", "place", "until", "it", "matches", "pythran", "s", "expectations", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/middlend.py#L16-L55
237,732
serge-sans-paille/pythran
pythran/analyses/global_effects.py
GlobalEffects.prepare
def prepare(self, node): """ Initialise globals effects as this analyse is inter-procedural. Initialisation done for Pythonic functions and default value set for user defined functions. """ super(GlobalEffects, self).prepare(node) def register_node(module): """ Recursively save globals effect for all functions. """ for v in module.values(): if isinstance(v, dict): # Submodule case register_node(v) else: fe = GlobalEffects.FunctionEffect(v) self.node_to_functioneffect[v] = fe self.result.add_node(fe) if isinstance(v, intrinsic.Class): register_node(v.fields) register_node(self.global_declarations) for module in MODULES.values(): register_node(module) self.node_to_functioneffect[intrinsic.UnboundValue] = \ GlobalEffects.FunctionEffect(intrinsic.UnboundValue)
python
def prepare(self, node): """ Initialise globals effects as this analyse is inter-procedural. Initialisation done for Pythonic functions and default value set for user defined functions. """ super(GlobalEffects, self).prepare(node) def register_node(module): """ Recursively save globals effect for all functions. """ for v in module.values(): if isinstance(v, dict): # Submodule case register_node(v) else: fe = GlobalEffects.FunctionEffect(v) self.node_to_functioneffect[v] = fe self.result.add_node(fe) if isinstance(v, intrinsic.Class): register_node(v.fields) register_node(self.global_declarations) for module in MODULES.values(): register_node(module) self.node_to_functioneffect[intrinsic.UnboundValue] = \ GlobalEffects.FunctionEffect(intrinsic.UnboundValue)
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Initialise globals effects as this analyse is inter-procedural. Initialisation done for Pythonic functions and default value set for user defined functions.
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7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/analyses/global_effects.py#L43-L68
237,733
serge-sans-paille/pythran
pythran/types/types.py
Types.prepare
def prepare(self, node): """ Initialise values to prepare typing computation. Reorder functions to avoid dependencies issues and prepare typing computation setting typing values for Pythonic functions. """ def register(name, module): """ Recursively save function typing and combiners for Pythonic.""" for fname, function in module.items(): if isinstance(function, dict): register(name + "::" + fname, function) else: tname = 'pythonic::{0}::functor::{1}'.format(name, fname) self.result[function] = self.builder.NamedType(tname) self.combiners[function] = function if isinstance(function, Class): register(name + "::" + fname, function.fields) for mname, module in MODULES.items(): register(mname, module) super(Types, self).prepare(node)
python
def prepare(self, node): """ Initialise values to prepare typing computation. Reorder functions to avoid dependencies issues and prepare typing computation setting typing values for Pythonic functions. """ def register(name, module): """ Recursively save function typing and combiners for Pythonic.""" for fname, function in module.items(): if isinstance(function, dict): register(name + "::" + fname, function) else: tname = 'pythonic::{0}::functor::{1}'.format(name, fname) self.result[function] = self.builder.NamedType(tname) self.combiners[function] = function if isinstance(function, Class): register(name + "::" + fname, function.fields) for mname, module in MODULES.items(): register(mname, module) super(Types, self).prepare(node)
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Initialise values to prepare typing computation. Reorder functions to avoid dependencies issues and prepare typing computation setting typing values for Pythonic functions.
[ "Initialise", "values", "to", "prepare", "typing", "computation", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/types/types.py#L75-L97
237,734
serge-sans-paille/pythran
pythran/types/types.py
Types.register
def register(self, ptype): """register ptype as a local typedef""" # Too many of them leads to memory burst if len(self.typedefs) < cfg.getint('typing', 'max_combiner'): self.typedefs.append(ptype) return True return False
python
def register(self, ptype): """register ptype as a local typedef""" # Too many of them leads to memory burst if len(self.typedefs) < cfg.getint('typing', 'max_combiner'): self.typedefs.append(ptype) return True return False
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register ptype as a local typedef
[ "register", "ptype", "as", "a", "local", "typedef" ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/types/types.py#L106-L112
237,735
serge-sans-paille/pythran
pythran/types/types.py
Types.isargument
def isargument(self, node): """ checks whether node aliases to a parameter.""" try: node_id, _ = self.node_to_id(node) return (node_id in self.name_to_nodes and any([isinstance(n, ast.Name) and isinstance(n.ctx, ast.Param) for n in self.name_to_nodes[node_id]])) except UnboundableRValue: return False
python
def isargument(self, node): """ checks whether node aliases to a parameter.""" try: node_id, _ = self.node_to_id(node) return (node_id in self.name_to_nodes and any([isinstance(n, ast.Name) and isinstance(n.ctx, ast.Param) for n in self.name_to_nodes[node_id]])) except UnboundableRValue: return False
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checks whether node aliases to a parameter.
[ "checks", "whether", "node", "aliases", "to", "a", "parameter", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/types/types.py#L133-L142
237,736
serge-sans-paille/pythran
pythran/types/types.py
Types.combine
def combine(self, node, othernode, op=None, unary_op=None, register=False, aliasing_type=False): """ Change `node` typing with combination of `node` and `othernode`. Parameters ---------- aliasing_type : bool All node aliasing to `node` have to be updated too. """ if self.result[othernode] is self.builder.UnknownType: if node not in self.result: self.result[node] = self.builder.UnknownType return if aliasing_type: self.combine_(node, othernode, op or operator.add, unary_op or (lambda x: x), register) for a in self.strict_aliases[node]: self.combine_(a, othernode, op or operator.add, unary_op or (lambda x: x), register) else: self.combine_(node, othernode, op or operator.add, unary_op or (lambda x: x), register)
python
def combine(self, node, othernode, op=None, unary_op=None, register=False, aliasing_type=False): """ Change `node` typing with combination of `node` and `othernode`. Parameters ---------- aliasing_type : bool All node aliasing to `node` have to be updated too. """ if self.result[othernode] is self.builder.UnknownType: if node not in self.result: self.result[node] = self.builder.UnknownType return if aliasing_type: self.combine_(node, othernode, op or operator.add, unary_op or (lambda x: x), register) for a in self.strict_aliases[node]: self.combine_(a, othernode, op or operator.add, unary_op or (lambda x: x), register) else: self.combine_(node, othernode, op or operator.add, unary_op or (lambda x: x), register)
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Change `node` typing with combination of `node` and `othernode`. Parameters ---------- aliasing_type : bool All node aliasing to `node` have to be updated too.
[ "Change", "node", "typing", "with", "combination", "of", "node", "and", "othernode", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/types/types.py#L144-L167
237,737
serge-sans-paille/pythran
pythran/types/types.py
Types.visit_Return
def visit_Return(self, node): """ Compute return type and merges with others possible return type.""" self.generic_visit(node) # No merge are done if the function is a generator. if not self.yield_points: assert node.value, "Values were added in each return statement." self.combine(self.current, node.value)
python
def visit_Return(self, node): """ Compute return type and merges with others possible return type.""" self.generic_visit(node) # No merge are done if the function is a generator. if not self.yield_points: assert node.value, "Values were added in each return statement." self.combine(self.current, node.value)
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Compute return type and merges with others possible return type.
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7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/types/types.py#L293-L299
237,738
serge-sans-paille/pythran
pythran/types/types.py
Types.visit_Yield
def visit_Yield(self, node): """ Compute yield type and merges it with others yield type. """ self.generic_visit(node) self.combine(self.current, node.value)
python
def visit_Yield(self, node): """ Compute yield type and merges it with others yield type. """ self.generic_visit(node) self.combine(self.current, node.value)
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Compute yield type and merges it with others yield type.
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7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/types/types.py#L301-L304
237,739
serge-sans-paille/pythran
pythran/types/types.py
Types.visit_BoolOp
def visit_BoolOp(self, node): """ Merge BoolOp operand type. BoolOp are "and" and "or" and may return any of these results so all operands should have the combinable type. """ # Visit subnodes self.generic_visit(node) # Merge all operands types. [self.combine(node, value) for value in node.values]
python
def visit_BoolOp(self, node): """ Merge BoolOp operand type. BoolOp are "and" and "or" and may return any of these results so all operands should have the combinable type. """ # Visit subnodes self.generic_visit(node) # Merge all operands types. [self.combine(node, value) for value in node.values]
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Merge BoolOp operand type. BoolOp are "and" and "or" and may return any of these results so all operands should have the combinable type.
[ "Merge", "BoolOp", "operand", "type", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/types/types.py#L349-L359
237,740
serge-sans-paille/pythran
pythran/types/types.py
Types.visit_Num
def visit_Num(self, node): """ Set type for number. It could be int, long or float so we use the default python to pythonic type converter. """ ty = type(node.n) sty = pytype_to_ctype(ty) if node in self.immediates: sty = "std::integral_constant<%s, %s>" % (sty, node.n) self.result[node] = self.builder.NamedType(sty)
python
def visit_Num(self, node): """ Set type for number. It could be int, long or float so we use the default python to pythonic type converter. """ ty = type(node.n) sty = pytype_to_ctype(ty) if node in self.immediates: sty = "std::integral_constant<%s, %s>" % (sty, node.n) self.result[node] = self.builder.NamedType(sty)
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Set type for number. It could be int, long or float so we use the default python to pythonic type converter.
[ "Set", "type", "for", "number", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/types/types.py#L450-L462
237,741
serge-sans-paille/pythran
pythran/types/types.py
Types.visit_Str
def visit_Str(self, node): """ Set the pythonic string type. """ self.result[node] = self.builder.NamedType(pytype_to_ctype(str))
python
def visit_Str(self, node): """ Set the pythonic string type. """ self.result[node] = self.builder.NamedType(pytype_to_ctype(str))
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Set the pythonic string type.
[ "Set", "the", "pythonic", "string", "type", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/types/types.py#L464-L466
237,742
serge-sans-paille/pythran
pythran/types/types.py
Types.visit_Attribute
def visit_Attribute(self, node): """ Compute typing for an attribute node. """ obj, path = attr_to_path(node) # If no type is given, use a decltype if obj.isliteral(): typename = pytype_to_ctype(obj.signature) self.result[node] = self.builder.NamedType(typename) else: self.result[node] = self.builder.DeclType('::'.join(path) + '{}')
python
def visit_Attribute(self, node): """ Compute typing for an attribute node. """ obj, path = attr_to_path(node) # If no type is given, use a decltype if obj.isliteral(): typename = pytype_to_ctype(obj.signature) self.result[node] = self.builder.NamedType(typename) else: self.result[node] = self.builder.DeclType('::'.join(path) + '{}')
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Compute typing for an attribute node.
[ "Compute", "typing", "for", "an", "attribute", "node", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/types/types.py#L468-L476
237,743
serge-sans-paille/pythran
pythran/types/types.py
Types.visit_Slice
def visit_Slice(self, node): """ Set slicing type using continuous information if provided. Also visit subnodes as they may contains relevant typing information. """ self.generic_visit(node) if node.step is None or (isinstance(node.step, ast.Num) and node.step.n == 1): self.result[node] = self.builder.NamedType( 'pythonic::types::contiguous_slice') else: self.result[node] = self.builder.NamedType( 'pythonic::types::slice')
python
def visit_Slice(self, node): """ Set slicing type using continuous information if provided. Also visit subnodes as they may contains relevant typing information. """ self.generic_visit(node) if node.step is None or (isinstance(node.step, ast.Num) and node.step.n == 1): self.result[node] = self.builder.NamedType( 'pythonic::types::contiguous_slice') else: self.result[node] = self.builder.NamedType( 'pythonic::types::slice')
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Set slicing type using continuous information if provided. Also visit subnodes as they may contains relevant typing information.
[ "Set", "slicing", "type", "using", "continuous", "information", "if", "provided", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/types/types.py#L478-L491
237,744
serge-sans-paille/pythran
omp/__init__.py
OpenMP.init_not_msvc
def init_not_msvc(self): """ Find OpenMP library and try to load if using ctype interface. """ # find_library() does not search automatically LD_LIBRARY_PATH paths = os.environ.get('LD_LIBRARY_PATH', '').split(':') for gomp in ('libgomp.so', 'libgomp.dylib'): if cxx is None: continue cmd = [cxx, '-print-file-name=' + gomp] # the subprocess can fail in various ways # in that case just give up that path try: path = os.path.dirname(check_output(cmd).strip()) if path: paths.append(path) except OSError: pass # Try to load find libgomp shared library using loader search dirs libgomp_path = find_library("gomp") # Try to use custom paths if lookup failed for path in paths: if libgomp_path: break path = path.strip() if os.path.isdir(path): libgomp_path = find_library(os.path.join(str(path), "libgomp")) if not libgomp_path: raise ImportError("I can't find a shared library for libgomp," " you may need to install it or adjust the " "LD_LIBRARY_PATH environment variable.") else: # Load the library (shouldn't fail with an absolute path right?) self.libomp = ctypes.CDLL(libgomp_path) self.version = 45
python
def init_not_msvc(self): """ Find OpenMP library and try to load if using ctype interface. """ # find_library() does not search automatically LD_LIBRARY_PATH paths = os.environ.get('LD_LIBRARY_PATH', '').split(':') for gomp in ('libgomp.so', 'libgomp.dylib'): if cxx is None: continue cmd = [cxx, '-print-file-name=' + gomp] # the subprocess can fail in various ways # in that case just give up that path try: path = os.path.dirname(check_output(cmd).strip()) if path: paths.append(path) except OSError: pass # Try to load find libgomp shared library using loader search dirs libgomp_path = find_library("gomp") # Try to use custom paths if lookup failed for path in paths: if libgomp_path: break path = path.strip() if os.path.isdir(path): libgomp_path = find_library(os.path.join(str(path), "libgomp")) if not libgomp_path: raise ImportError("I can't find a shared library for libgomp," " you may need to install it or adjust the " "LD_LIBRARY_PATH environment variable.") else: # Load the library (shouldn't fail with an absolute path right?) self.libomp = ctypes.CDLL(libgomp_path) self.version = 45
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Find OpenMP library and try to load if using ctype interface.
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7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/omp/__init__.py#L44-L79
237,745
serge-sans-paille/pythran
pythran/analyses/inlinable.py
Inlinable.visit_FunctionDef
def visit_FunctionDef(self, node): """ Determine this function definition can be inlined. """ if (len(node.body) == 1 and isinstance(node.body[0], (ast.Call, ast.Return))): ids = self.gather(Identifiers, node.body[0]) # FIXME : It mark "not inlinable" def foo(foo): return foo if node.name not in ids: self.result[node.name] = copy.deepcopy(node)
python
def visit_FunctionDef(self, node): """ Determine this function definition can be inlined. """ if (len(node.body) == 1 and isinstance(node.body[0], (ast.Call, ast.Return))): ids = self.gather(Identifiers, node.body[0]) # FIXME : It mark "not inlinable" def foo(foo): return foo if node.name not in ids: self.result[node.name] = copy.deepcopy(node)
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Determine this function definition can be inlined.
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7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/analyses/inlinable.py#L22-L29
237,746
serge-sans-paille/pythran
pythran/types/type_dependencies.py
pytype_to_deps_hpp
def pytype_to_deps_hpp(t): """python -> pythonic type hpp filename.""" if isinstance(t, List): return {'list.hpp'}.union(pytype_to_deps_hpp(t.__args__[0])) elif isinstance(t, Set): return {'set.hpp'}.union(pytype_to_deps_hpp(t.__args__[0])) elif isinstance(t, Dict): tkey, tvalue = t.__args__ return {'dict.hpp'}.union(pytype_to_deps_hpp(tkey), pytype_to_deps_hpp(tvalue)) elif isinstance(t, Tuple): return {'tuple.hpp'}.union(*[pytype_to_deps_hpp(elt) for elt in t.__args__]) elif isinstance(t, NDArray): out = {'ndarray.hpp'} # it's a transpose! if t.__args__[1].start == -1: out.add('numpy_texpr.hpp') return out.union(pytype_to_deps_hpp(t.__args__[0])) elif isinstance(t, Pointer): return {'pointer.hpp'}.union(pytype_to_deps_hpp(t.__args__[0])) elif isinstance(t, Fun): return {'cfun.hpp'}.union(*[pytype_to_deps_hpp(a) for a in t.__args__]) elif t in PYTYPE_TO_CTYPE_TABLE: return {'{}.hpp'.format(t.__name__)} else: raise NotImplementedError("{0}:{1}".format(type(t), t))
python
def pytype_to_deps_hpp(t): """python -> pythonic type hpp filename.""" if isinstance(t, List): return {'list.hpp'}.union(pytype_to_deps_hpp(t.__args__[0])) elif isinstance(t, Set): return {'set.hpp'}.union(pytype_to_deps_hpp(t.__args__[0])) elif isinstance(t, Dict): tkey, tvalue = t.__args__ return {'dict.hpp'}.union(pytype_to_deps_hpp(tkey), pytype_to_deps_hpp(tvalue)) elif isinstance(t, Tuple): return {'tuple.hpp'}.union(*[pytype_to_deps_hpp(elt) for elt in t.__args__]) elif isinstance(t, NDArray): out = {'ndarray.hpp'} # it's a transpose! if t.__args__[1].start == -1: out.add('numpy_texpr.hpp') return out.union(pytype_to_deps_hpp(t.__args__[0])) elif isinstance(t, Pointer): return {'pointer.hpp'}.union(pytype_to_deps_hpp(t.__args__[0])) elif isinstance(t, Fun): return {'cfun.hpp'}.union(*[pytype_to_deps_hpp(a) for a in t.__args__]) elif t in PYTYPE_TO_CTYPE_TABLE: return {'{}.hpp'.format(t.__name__)} else: raise NotImplementedError("{0}:{1}".format(type(t), t))
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python -> pythonic type hpp filename.
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7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/types/type_dependencies.py#L17-L43
237,747
serge-sans-paille/pythran
pythran/types/type_dependencies.py
pytype_to_deps
def pytype_to_deps(t): """ python -> pythonic type header full path. """ res = set() for hpp_dep in pytype_to_deps_hpp(t): res.add(os.path.join('pythonic', 'types', hpp_dep)) res.add(os.path.join('pythonic', 'include', 'types', hpp_dep)) return res
python
def pytype_to_deps(t): """ python -> pythonic type header full path. """ res = set() for hpp_dep in pytype_to_deps_hpp(t): res.add(os.path.join('pythonic', 'types', hpp_dep)) res.add(os.path.join('pythonic', 'include', 'types', hpp_dep)) return res
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python -> pythonic type header full path.
[ "python", "-", ">", "pythonic", "type", "header", "full", "path", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/types/type_dependencies.py#L46-L52
237,748
serge-sans-paille/pythran
pythran/types/type_dependencies.py
TypeDependencies.prepare
def prepare(self, node): """ Add nodes for each global declarations in the result graph. No edges are added as there are no type builtin type dependencies. """ super(TypeDependencies, self).prepare(node) for v in self.global_declarations.values(): self.result.add_node(v) self.result.add_node(TypeDependencies.NoDeps)
python
def prepare(self, node): """ Add nodes for each global declarations in the result graph. No edges are added as there are no type builtin type dependencies. """ super(TypeDependencies, self).prepare(node) for v in self.global_declarations.values(): self.result.add_node(v) self.result.add_node(TypeDependencies.NoDeps)
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Add nodes for each global declarations in the result graph. No edges are added as there are no type builtin type dependencies.
[ "Add", "nodes", "for", "each", "global", "declarations", "in", "the", "result", "graph", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/types/type_dependencies.py#L237-L246
237,749
serge-sans-paille/pythran
pythran/types/type_dependencies.py
TypeDependencies.visit_any_conditionnal
def visit_any_conditionnal(self, node1, node2): """ Set and restore the in_cond variable before visiting subnode. Compute correct dependencies on a value as both branch are possible path. """ true_naming = false_naming = None try: tmp = self.naming.copy() for expr in node1: self.visit(expr) true_naming = self.naming self.naming = tmp except KeyError: pass try: tmp = self.naming.copy() for expr in node2: self.visit(expr) false_naming = self.naming self.naming = tmp except KeyError: pass if true_naming and not false_naming: self.naming = true_naming elif false_naming and not true_naming: self.naming = false_naming elif true_naming and false_naming: self.naming = false_naming for k, v in true_naming.items(): if k not in self.naming: self.naming[k] = v else: for dep in v: if dep not in self.naming[k]: self.naming[k].append(dep)
python
def visit_any_conditionnal(self, node1, node2): """ Set and restore the in_cond variable before visiting subnode. Compute correct dependencies on a value as both branch are possible path. """ true_naming = false_naming = None try: tmp = self.naming.copy() for expr in node1: self.visit(expr) true_naming = self.naming self.naming = tmp except KeyError: pass try: tmp = self.naming.copy() for expr in node2: self.visit(expr) false_naming = self.naming self.naming = tmp except KeyError: pass if true_naming and not false_naming: self.naming = true_naming elif false_naming and not true_naming: self.naming = false_naming elif true_naming and false_naming: self.naming = false_naming for k, v in true_naming.items(): if k not in self.naming: self.naming[k] = v else: for dep in v: if dep not in self.naming[k]: self.naming[k].append(dep)
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Set and restore the in_cond variable before visiting subnode. Compute correct dependencies on a value as both branch are possible path.
[ "Set", "and", "restore", "the", "in_cond", "variable", "before", "visiting", "subnode", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/types/type_dependencies.py#L248-L290
237,750
serge-sans-paille/pythran
pythran/types/type_dependencies.py
TypeDependencies.visit_FunctionDef
def visit_FunctionDef(self, node): """ Initialize variable for the current function to add edges from calls. We compute variable to call dependencies and add edges when returns are reach. """ # Ensure there are no nested functions. assert self.current_function is None self.current_function = node self.naming = dict() self.in_cond = False # True when we are in a if, while or for self.generic_visit(node) self.current_function = None
python
def visit_FunctionDef(self, node): """ Initialize variable for the current function to add edges from calls. We compute variable to call dependencies and add edges when returns are reach. """ # Ensure there are no nested functions. assert self.current_function is None self.current_function = node self.naming = dict() self.in_cond = False # True when we are in a if, while or for self.generic_visit(node) self.current_function = None
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Initialize variable for the current function to add edges from calls. We compute variable to call dependencies and add edges when returns are reach.
[ "Initialize", "variable", "for", "the", "current", "function", "to", "add", "edges", "from", "calls", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/types/type_dependencies.py#L292-L305
237,751
serge-sans-paille/pythran
pythran/types/type_dependencies.py
TypeDependencies.visit_Return
def visit_Return(self, node): """ Add edge from all possible callee to current function. Gather all the function call that led to the creation of the returned expression and add an edge to each of this function. When visiting an expression, one returns a list of frozensets. Each element of the list is linked to a possible path, each element of a frozenset is linked to a dependency. """ if not node.value: # Yielding function can't return values return for dep_set in self.visit(node.value): if dep_set: for dep in dep_set: self.result.add_edge(dep, self.current_function) else: self.result.add_edge(TypeDependencies.NoDeps, self.current_function)
python
def visit_Return(self, node): """ Add edge from all possible callee to current function. Gather all the function call that led to the creation of the returned expression and add an edge to each of this function. When visiting an expression, one returns a list of frozensets. Each element of the list is linked to a possible path, each element of a frozenset is linked to a dependency. """ if not node.value: # Yielding function can't return values return for dep_set in self.visit(node.value): if dep_set: for dep in dep_set: self.result.add_edge(dep, self.current_function) else: self.result.add_edge(TypeDependencies.NoDeps, self.current_function)
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Add edge from all possible callee to current function. Gather all the function call that led to the creation of the returned expression and add an edge to each of this function. When visiting an expression, one returns a list of frozensets. Each element of the list is linked to a possible path, each element of a frozenset is linked to a dependency.
[ "Add", "edge", "from", "all", "possible", "callee", "to", "current", "function", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/types/type_dependencies.py#L307-L327
237,752
serge-sans-paille/pythran
pythran/types/type_dependencies.py
TypeDependencies.visit_Assign
def visit_Assign(self, node): """ In case of assignment assign value depend on r-value type dependencies. It is valid for subscript, `a[i] = foo()` means `a` type depend on `foo` return type. """ value_deps = self.visit(node.value) for target in node.targets: name = get_variable(target) if isinstance(name, ast.Name): self.naming[name.id] = value_deps
python
def visit_Assign(self, node): """ In case of assignment assign value depend on r-value type dependencies. It is valid for subscript, `a[i] = foo()` means `a` type depend on `foo` return type. """ value_deps = self.visit(node.value) for target in node.targets: name = get_variable(target) if isinstance(name, ast.Name): self.naming[name.id] = value_deps
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In case of assignment assign value depend on r-value type dependencies. It is valid for subscript, `a[i] = foo()` means `a` type depend on `foo` return type.
[ "In", "case", "of", "assignment", "assign", "value", "depend", "on", "r", "-", "value", "type", "dependencies", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/types/type_dependencies.py#L331-L342
237,753
serge-sans-paille/pythran
pythran/types/type_dependencies.py
TypeDependencies.visit_AugAssign
def visit_AugAssign(self, node): """ AugAssigned value depend on r-value type dependencies. It is valid for subscript, `a[i] += foo()` means `a` type depend on `foo` return type and previous a types too. """ args = (self.naming[get_variable(node.target).id], self.visit(node.value)) merge_dep = list({frozenset.union(*x) for x in itertools.product(*args)}) self.naming[get_variable(node.target).id] = merge_dep
python
def visit_AugAssign(self, node): """ AugAssigned value depend on r-value type dependencies. It is valid for subscript, `a[i] += foo()` means `a` type depend on `foo` return type and previous a types too. """ args = (self.naming[get_variable(node.target).id], self.visit(node.value)) merge_dep = list({frozenset.union(*x) for x in itertools.product(*args)}) self.naming[get_variable(node.target).id] = merge_dep
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AugAssigned value depend on r-value type dependencies. It is valid for subscript, `a[i] += foo()` means `a` type depend on `foo` return type and previous a types too.
[ "AugAssigned", "value", "depend", "on", "r", "-", "value", "type", "dependencies", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/types/type_dependencies.py#L344-L355
237,754
serge-sans-paille/pythran
pythran/types/type_dependencies.py
TypeDependencies.visit_For
def visit_For(self, node): """ Handle iterator variable in for loops. Iterate variable may be the correct one at the end of the loop. """ body = node.body if node.target.id in self.naming: body = [ast.Assign(targets=[node.target], value=node.iter)] + body self.visit_any_conditionnal(body, node.orelse) else: iter_dep = self.visit(node.iter) self.naming[node.target.id] = iter_dep self.visit_any_conditionnal(body, body + node.orelse)
python
def visit_For(self, node): """ Handle iterator variable in for loops. Iterate variable may be the correct one at the end of the loop. """ body = node.body if node.target.id in self.naming: body = [ast.Assign(targets=[node.target], value=node.iter)] + body self.visit_any_conditionnal(body, node.orelse) else: iter_dep = self.visit(node.iter) self.naming[node.target.id] = iter_dep self.visit_any_conditionnal(body, body + node.orelse)
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Handle iterator variable in for loops. Iterate variable may be the correct one at the end of the loop.
[ "Handle", "iterator", "variable", "in", "for", "loops", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/types/type_dependencies.py#L357-L370
237,755
serge-sans-paille/pythran
pythran/types/type_dependencies.py
TypeDependencies.visit_BoolOp
def visit_BoolOp(self, node): """ Return type may come from any boolop operand. """ return sum((self.visit(value) for value in node.values), [])
python
def visit_BoolOp(self, node): """ Return type may come from any boolop operand. """ return sum((self.visit(value) for value in node.values), [])
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Return type may come from any boolop operand.
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7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/types/type_dependencies.py#L372-L374
237,756
serge-sans-paille/pythran
pythran/types/type_dependencies.py
TypeDependencies.visit_BinOp
def visit_BinOp(self, node): """ Return type depend from both operand of the binary operation. """ args = [self.visit(arg) for arg in (node.left, node.right)] return list({frozenset.union(*x) for x in itertools.product(*args)})
python
def visit_BinOp(self, node): """ Return type depend from both operand of the binary operation. """ args = [self.visit(arg) for arg in (node.left, node.right)] return list({frozenset.union(*x) for x in itertools.product(*args)})
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Return type depend from both operand of the binary operation.
[ "Return", "type", "depend", "from", "both", "operand", "of", "the", "binary", "operation", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/types/type_dependencies.py#L376-L379
237,757
serge-sans-paille/pythran
pythran/types/type_dependencies.py
TypeDependencies.visit_Call
def visit_Call(self, node): """ Function call depend on all function use in the call. >> a = foo(bar(c) or foobar(d)) Return type depend on [foo, bar] or [foo, foobar] """ args = [self.visit(arg) for arg in node.args] func = self.visit(node.func) params = args + [func or []] return list({frozenset.union(*p) for p in itertools.product(*params)})
python
def visit_Call(self, node): """ Function call depend on all function use in the call. >> a = foo(bar(c) or foobar(d)) Return type depend on [foo, bar] or [foo, foobar] """ args = [self.visit(arg) for arg in node.args] func = self.visit(node.func) params = args + [func or []] return list({frozenset.union(*p) for p in itertools.product(*params)})
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Function call depend on all function use in the call. >> a = foo(bar(c) or foobar(d)) Return type depend on [foo, bar] or [foo, foobar]
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7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/types/type_dependencies.py#L399-L410
237,758
serge-sans-paille/pythran
pythran/types/type_dependencies.py
TypeDependencies.visit_Name
def visit_Name(self, node): """ Return dependencies for given variable. It have to be register first. """ if node.id in self.naming: return self.naming[node.id] elif node.id in self.global_declarations: return [frozenset([self.global_declarations[node.id]])] elif isinstance(node.ctx, ast.Param): deps = [frozenset()] self.naming[node.id] = deps return deps else: raise PythranInternalError("Variable '{}' use before assignment" "".format(node.id))
python
def visit_Name(self, node): """ Return dependencies for given variable. It have to be register first. """ if node.id in self.naming: return self.naming[node.id] elif node.id in self.global_declarations: return [frozenset([self.global_declarations[node.id]])] elif isinstance(node.ctx, ast.Param): deps = [frozenset()] self.naming[node.id] = deps return deps else: raise PythranInternalError("Variable '{}' use before assignment" "".format(node.id))
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Return dependencies for given variable. It have to be register first.
[ "Return", "dependencies", "for", "given", "variable", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/types/type_dependencies.py#L435-L451
237,759
serge-sans-paille/pythran
pythran/types/type_dependencies.py
TypeDependencies.visit_List
def visit_List(self, node): """ List construction depend on each elements type dependency. """ if node.elts: return list(set(sum([self.visit(elt) for elt in node.elts], []))) else: return [frozenset()]
python
def visit_List(self, node): """ List construction depend on each elements type dependency. """ if node.elts: return list(set(sum([self.visit(elt) for elt in node.elts], []))) else: return [frozenset()]
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List construction depend on each elements type dependency.
[ "List", "construction", "depend", "on", "each", "elements", "type", "dependency", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/types/type_dependencies.py#L453-L458
237,760
serge-sans-paille/pythran
pythran/types/type_dependencies.py
TypeDependencies.visit_ExceptHandler
def visit_ExceptHandler(self, node): """ Exception may declare a new variable. """ if node.name: self.naming[node.name.id] = [frozenset()] for stmt in node.body: self.visit(stmt)
python
def visit_ExceptHandler(self, node): """ Exception may declare a new variable. """ if node.name: self.naming[node.name.id] = [frozenset()] for stmt in node.body: self.visit(stmt)
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Exception may declare a new variable.
[ "Exception", "may", "declare", "a", "new", "variable", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/types/type_dependencies.py#L490-L495
237,761
serge-sans-paille/pythran
docs/papers/iop2014/xp/numba/arc_distance.py
arc_distance
def arc_distance(theta_1, phi_1, theta_2, phi_2): """ Calculates the pairwise arc distance between all points in vector a and b. """ temp = np.sin((theta_2-theta_1)/2)**2+np.cos(theta_1)*np.cos(theta_2)*np.sin((phi_2-phi_1)/2)**2 distance_matrix = 2 * (np.arctan2(np.sqrt(temp),np.sqrt(1-temp))) return distance_matrix
python
def arc_distance(theta_1, phi_1, theta_2, phi_2): """ Calculates the pairwise arc distance between all points in vector a and b. """ temp = np.sin((theta_2-theta_1)/2)**2+np.cos(theta_1)*np.cos(theta_2)*np.sin((phi_2-phi_1)/2)**2 distance_matrix = 2 * (np.arctan2(np.sqrt(temp),np.sqrt(1-temp))) return distance_matrix
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Calculates the pairwise arc distance between all points in vector a and b.
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7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/docs/papers/iop2014/xp/numba/arc_distance.py#L5-L12
237,762
serge-sans-paille/pythran
pythran/transformations/expand_globals.py
ExpandGlobals.visit_Module
def visit_Module(self, node): """Turn globals assignment to functionDef and visit function defs. """ module_body = list() symbols = set() # Gather top level assigned variables. for stmt in node.body: if isinstance(stmt, (ast.Import, ast.ImportFrom)): for alias in stmt.names: name = alias.asname or alias.name symbols.add(name) # no warning here elif isinstance(stmt, ast.FunctionDef): if stmt.name in symbols: raise PythranSyntaxError( "Multiple top-level definition of %s." % stmt.name, stmt) else: symbols.add(stmt.name) if not isinstance(stmt, ast.Assign): continue for target in stmt.targets: if not isinstance(target, ast.Name): raise PythranSyntaxError( "Top-level assignment to an expression.", target) if target.id in self.to_expand: raise PythranSyntaxError( "Multiple top-level definition of %s." % target.id, target) if isinstance(stmt.value, ast.Name): if stmt.value.id in symbols: continue # create aliasing between top level symbols self.to_expand.add(target.id) for stmt in node.body: if isinstance(stmt, ast.Assign): # that's not a global var, but a module/function aliasing if all(isinstance(t, ast.Name) and t.id not in self.to_expand for t in stmt.targets): module_body.append(stmt) continue self.local_decl = set() cst_value = self.visit(stmt.value) for target in stmt.targets: assert isinstance(target, ast.Name) module_body.append( ast.FunctionDef(target.id, ast.arguments([], None, [], [], None, []), [ast.Return(value=cst_value)], [], None)) metadata.add(module_body[-1].body[0], metadata.StaticReturn()) else: self.local_decl = self.gather( LocalNameDeclarations, stmt) module_body.append(self.visit(stmt)) self.update |= bool(self.to_expand) node.body = module_body return node
python
def visit_Module(self, node): """Turn globals assignment to functionDef and visit function defs. """ module_body = list() symbols = set() # Gather top level assigned variables. for stmt in node.body: if isinstance(stmt, (ast.Import, ast.ImportFrom)): for alias in stmt.names: name = alias.asname or alias.name symbols.add(name) # no warning here elif isinstance(stmt, ast.FunctionDef): if stmt.name in symbols: raise PythranSyntaxError( "Multiple top-level definition of %s." % stmt.name, stmt) else: symbols.add(stmt.name) if not isinstance(stmt, ast.Assign): continue for target in stmt.targets: if not isinstance(target, ast.Name): raise PythranSyntaxError( "Top-level assignment to an expression.", target) if target.id in self.to_expand: raise PythranSyntaxError( "Multiple top-level definition of %s." % target.id, target) if isinstance(stmt.value, ast.Name): if stmt.value.id in symbols: continue # create aliasing between top level symbols self.to_expand.add(target.id) for stmt in node.body: if isinstance(stmt, ast.Assign): # that's not a global var, but a module/function aliasing if all(isinstance(t, ast.Name) and t.id not in self.to_expand for t in stmt.targets): module_body.append(stmt) continue self.local_decl = set() cst_value = self.visit(stmt.value) for target in stmt.targets: assert isinstance(target, ast.Name) module_body.append( ast.FunctionDef(target.id, ast.arguments([], None, [], [], None, []), [ast.Return(value=cst_value)], [], None)) metadata.add(module_body[-1].body[0], metadata.StaticReturn()) else: self.local_decl = self.gather( LocalNameDeclarations, stmt) module_body.append(self.visit(stmt)) self.update |= bool(self.to_expand) node.body = module_body return node
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Turn globals assignment to functionDef and visit function defs.
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7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/transformations/expand_globals.py#L41-L104
237,763
serge-sans-paille/pythran
pythran/transformations/expand_globals.py
ExpandGlobals.visit_Name
def visit_Name(self, node): """ Turn global variable used not shadows to function call. We check it is a name from an assignment as import or functions use should not be turn into call. """ if (isinstance(node.ctx, ast.Load) and node.id not in self.local_decl and node.id in self.to_expand): self.update = True return ast.Call(func=node, args=[], keywords=[]) return node
python
def visit_Name(self, node): """ Turn global variable used not shadows to function call. We check it is a name from an assignment as import or functions use should not be turn into call. """ if (isinstance(node.ctx, ast.Load) and node.id not in self.local_decl and node.id in self.to_expand): self.update = True return ast.Call(func=node, args=[], keywords=[]) return node
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Turn global variable used not shadows to function call. We check it is a name from an assignment as import or functions use should not be turn into call.
[ "Turn", "global", "variable", "used", "not", "shadows", "to", "function", "call", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/transformations/expand_globals.py#L106-L119
237,764
serge-sans-paille/pythran
pythran/transformations/normalize_method_calls.py
NormalizeMethodCalls.visit_Module
def visit_Module(self, node): """ When we normalize call, we need to add correct import for method to function transformation. a.max() for numpy array will become: numpy.max(a) so we have to import numpy. """ self.skip_functions = True self.generic_visit(node) self.skip_functions = False self.generic_visit(node) new_imports = self.to_import - self.globals imports = [ast.Import(names=[ast.alias(name=mod[17:], asname=mod)]) for mod in new_imports] node.body = imports + node.body self.update |= bool(imports) return node
python
def visit_Module(self, node): """ When we normalize call, we need to add correct import for method to function transformation. a.max() for numpy array will become: numpy.max(a) so we have to import numpy. """ self.skip_functions = True self.generic_visit(node) self.skip_functions = False self.generic_visit(node) new_imports = self.to_import - self.globals imports = [ast.Import(names=[ast.alias(name=mod[17:], asname=mod)]) for mod in new_imports] node.body = imports + node.body self.update |= bool(imports) return node
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When we normalize call, we need to add correct import for method to function transformation. a.max() for numpy array will become: numpy.max(a) so we have to import numpy.
[ "When", "we", "normalize", "call", "we", "need", "to", "add", "correct", "import", "for", "method", "to", "function", "transformation", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/transformations/normalize_method_calls.py#L31-L53
237,765
serge-sans-paille/pythran
pythran/transformations/normalize_method_calls.py
NormalizeMethodCalls.renamer
def renamer(v, cur_module): """ Rename function path to fit Pythonic naming. """ mname = demangle(v) name = v + '_' if name in cur_module: return name, mname else: return v, mname
python
def renamer(v, cur_module): """ Rename function path to fit Pythonic naming. """ mname = demangle(v) name = v + '_' if name in cur_module: return name, mname else: return v, mname
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Rename function path to fit Pythonic naming.
[ "Rename", "function", "path", "to", "fit", "Pythonic", "naming", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/transformations/normalize_method_calls.py#L139-L149
237,766
serge-sans-paille/pythran
pythran/transformations/normalize_method_calls.py
NormalizeMethodCalls.visit_Call
def visit_Call(self, node): """ Transform call site to have normal function call. Examples -------- For methods: >> a = [1, 2, 3] >> a.append(1) Becomes >> __list__.append(a, 1) For functions: >> __builtin__.dict.fromkeys([1, 2, 3]) Becomes >> __builtin__.__dict__.fromkeys([1, 2, 3]) """ node = self.generic_visit(node) # Only attributes function can be Pythonic and should be normalized if isinstance(node.func, ast.Attribute): if node.func.attr in methods: # Get object targeted by methods obj = lhs = node.func.value # Get the most left identifier to check if it is not an # imported module while isinstance(obj, ast.Attribute): obj = obj.value is_not_module = (not isinstance(obj, ast.Name) or obj.id not in self.imports) if is_not_module: self.update = True # As it was a methods call, push targeted object as first # arguments and add correct module prefix node.args.insert(0, lhs) mod = methods[node.func.attr][0] # Submodules import full module self.to_import.add(mangle(mod[0])) node.func = reduce( lambda v, o: ast.Attribute(v, o, ast.Load()), mod[1:] + (node.func.attr,), ast.Name(mangle(mod[0]), ast.Load(), None) ) # else methods have been called using function syntax if node.func.attr in methods or node.func.attr in functions: # Now, methods and function have both function syntax def rec(path, cur_module): """ Recursively rename path content looking in matching module. Prefers __module__ to module if it exists. This recursion is done as modules are visited top->bottom while attributes have to be visited bottom->top. """ err = "Function path is chained attributes and name" assert isinstance(path, (ast.Name, ast.Attribute)), err if isinstance(path, ast.Attribute): new_node, cur_module = rec(path.value, cur_module) new_id, mname = self.renamer(path.attr, cur_module) return (ast.Attribute(new_node, new_id, ast.Load()), cur_module[mname]) else: new_id, mname = self.renamer(path.id, cur_module) if mname not in cur_module: raise PythranSyntaxError( "Unbound identifier '{}'".format(mname), node) return (ast.Name(new_id, ast.Load(), None), cur_module[mname]) # Rename module path to avoid naming issue. node.func.value, _ = rec(node.func.value, MODULES) self.update = True return node
python
def visit_Call(self, node): """ Transform call site to have normal function call. Examples -------- For methods: >> a = [1, 2, 3] >> a.append(1) Becomes >> __list__.append(a, 1) For functions: >> __builtin__.dict.fromkeys([1, 2, 3]) Becomes >> __builtin__.__dict__.fromkeys([1, 2, 3]) """ node = self.generic_visit(node) # Only attributes function can be Pythonic and should be normalized if isinstance(node.func, ast.Attribute): if node.func.attr in methods: # Get object targeted by methods obj = lhs = node.func.value # Get the most left identifier to check if it is not an # imported module while isinstance(obj, ast.Attribute): obj = obj.value is_not_module = (not isinstance(obj, ast.Name) or obj.id not in self.imports) if is_not_module: self.update = True # As it was a methods call, push targeted object as first # arguments and add correct module prefix node.args.insert(0, lhs) mod = methods[node.func.attr][0] # Submodules import full module self.to_import.add(mangle(mod[0])) node.func = reduce( lambda v, o: ast.Attribute(v, o, ast.Load()), mod[1:] + (node.func.attr,), ast.Name(mangle(mod[0]), ast.Load(), None) ) # else methods have been called using function syntax if node.func.attr in methods or node.func.attr in functions: # Now, methods and function have both function syntax def rec(path, cur_module): """ Recursively rename path content looking in matching module. Prefers __module__ to module if it exists. This recursion is done as modules are visited top->bottom while attributes have to be visited bottom->top. """ err = "Function path is chained attributes and name" assert isinstance(path, (ast.Name, ast.Attribute)), err if isinstance(path, ast.Attribute): new_node, cur_module = rec(path.value, cur_module) new_id, mname = self.renamer(path.attr, cur_module) return (ast.Attribute(new_node, new_id, ast.Load()), cur_module[mname]) else: new_id, mname = self.renamer(path.id, cur_module) if mname not in cur_module: raise PythranSyntaxError( "Unbound identifier '{}'".format(mname), node) return (ast.Name(new_id, ast.Load(), None), cur_module[mname]) # Rename module path to avoid naming issue. node.func.value, _ = rec(node.func.value, MODULES) self.update = True return node
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Transform call site to have normal function call. Examples -------- For methods: >> a = [1, 2, 3] >> a.append(1) Becomes >> __list__.append(a, 1) For functions: >> __builtin__.dict.fromkeys([1, 2, 3]) Becomes >> __builtin__.__dict__.fromkeys([1, 2, 3])
[ "Transform", "call", "site", "to", "have", "normal", "function", "call", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/transformations/normalize_method_calls.py#L151-L231
237,767
serge-sans-paille/pythran
pythran/toolchain.py
_extract_specs_dependencies
def _extract_specs_dependencies(specs): """ Extract types dependencies from specs for each exported signature. """ deps = set() # for each function for signatures in specs.functions.values(): # for each signature for signature in signatures: # for each argument for t in signature: deps.update(pytype_to_deps(t)) # and each capsule for signature in specs.capsules.values(): # for each argument for t in signature: deps.update(pytype_to_deps(t)) # Keep "include" first return sorted(deps, key=lambda x: "include" not in x)
python
def _extract_specs_dependencies(specs): """ Extract types dependencies from specs for each exported signature. """ deps = set() # for each function for signatures in specs.functions.values(): # for each signature for signature in signatures: # for each argument for t in signature: deps.update(pytype_to_deps(t)) # and each capsule for signature in specs.capsules.values(): # for each argument for t in signature: deps.update(pytype_to_deps(t)) # Keep "include" first return sorted(deps, key=lambda x: "include" not in x)
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Extract types dependencies from specs for each exported signature.
[ "Extract", "types", "dependencies", "from", "specs", "for", "each", "exported", "signature", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/toolchain.py#L49-L65
237,768
serge-sans-paille/pythran
pythran/toolchain.py
_parse_optimization
def _parse_optimization(optimization): '''Turns an optimization of the form my_optim my_package.my_optim into the associated symbol''' splitted = optimization.split('.') if len(splitted) == 1: splitted = ['pythran', 'optimizations'] + splitted return reduce(getattr, splitted[1:], __import__(splitted[0]))
python
def _parse_optimization(optimization): '''Turns an optimization of the form my_optim my_package.my_optim into the associated symbol''' splitted = optimization.split('.') if len(splitted) == 1: splitted = ['pythran', 'optimizations'] + splitted return reduce(getattr, splitted[1:], __import__(splitted[0]))
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Turns an optimization of the form my_optim my_package.my_optim into the associated symbol
[ "Turns", "an", "optimization", "of", "the", "form", "my_optim", "my_package", ".", "my_optim", "into", "the", "associated", "symbol" ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/toolchain.py#L68-L76
237,769
serge-sans-paille/pythran
pythran/toolchain.py
_write_temp
def _write_temp(content, suffix): '''write `content` to a temporary XXX`suffix` file and return the filename. It is user's responsibility to delete when done.''' with NamedTemporaryFile(mode='w', suffix=suffix, delete=False) as out: out.write(content) return out.name
python
def _write_temp(content, suffix): '''write `content` to a temporary XXX`suffix` file and return the filename. It is user's responsibility to delete when done.''' with NamedTemporaryFile(mode='w', suffix=suffix, delete=False) as out: out.write(content) return out.name
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write `content` to a temporary XXX`suffix` file and return the filename. It is user's responsibility to delete when done.
[ "write", "content", "to", "a", "temporary", "XXX", "suffix", "file", "and", "return", "the", "filename", ".", "It", "is", "user", "s", "responsibility", "to", "delete", "when", "done", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/toolchain.py#L79-L84
237,770
serge-sans-paille/pythran
pythran/toolchain.py
front_middle_end
def front_middle_end(module_name, code, optimizations=None, module_dir=None): """Front-end and middle-end compilation steps""" pm = PassManager(module_name, module_dir) # front end ir, renamings, docstrings = frontend.parse(pm, code) # middle-end if optimizations is None: optimizations = cfg.get('pythran', 'optimizations').split() optimizations = [_parse_optimization(opt) for opt in optimizations] refine(pm, ir, optimizations) return pm, ir, renamings, docstrings
python
def front_middle_end(module_name, code, optimizations=None, module_dir=None): """Front-end and middle-end compilation steps""" pm = PassManager(module_name, module_dir) # front end ir, renamings, docstrings = frontend.parse(pm, code) # middle-end if optimizations is None: optimizations = cfg.get('pythran', 'optimizations').split() optimizations = [_parse_optimization(opt) for opt in optimizations] refine(pm, ir, optimizations) return pm, ir, renamings, docstrings
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Front-end and middle-end compilation steps
[ "Front", "-", "end", "and", "middle", "-", "end", "compilation", "steps" ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/toolchain.py#L99-L112
237,771
serge-sans-paille/pythran
pythran/toolchain.py
generate_py
def generate_py(module_name, code, optimizations=None, module_dir=None): '''python + pythran spec -> py code Prints and returns the optimized python code. ''' pm, ir, _, _ = front_middle_end(module_name, code, optimizations, module_dir) return pm.dump(Python, ir)
python
def generate_py(module_name, code, optimizations=None, module_dir=None): '''python + pythran spec -> py code Prints and returns the optimized python code. ''' pm, ir, _, _ = front_middle_end(module_name, code, optimizations, module_dir) return pm.dump(Python, ir)
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python + pythran spec -> py code Prints and returns the optimized python code.
[ "python", "+", "pythran", "spec", "-", ">", "py", "code" ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/toolchain.py#L118-L128
237,772
serge-sans-paille/pythran
pythran/toolchain.py
compile_cxxfile
def compile_cxxfile(module_name, cxxfile, output_binary=None, **kwargs): '''c++ file -> native module Return the filename of the produced shared library Raises CompileError on failure ''' builddir = mkdtemp() buildtmp = mkdtemp() extension_args = make_extension(python=True, **kwargs) extension = PythranExtension(module_name, [cxxfile], **extension_args) try: setup(name=module_name, ext_modules=[extension], cmdclass={"build_ext": PythranBuildExt}, # fake CLI call script_name='setup.py', script_args=['--verbose' if logger.isEnabledFor(logging.INFO) else '--quiet', 'build_ext', '--build-lib', builddir, '--build-temp', buildtmp] ) except SystemExit as e: raise CompileError(str(e)) def copy(src_file, dest_file): # not using shutil.copy because it fails to copy stat across devices with open(src_file, 'rb') as src: with open(dest_file, 'wb') as dest: dest.write(src.read()) ext = sysconfig.get_config_var('SO') # Copy all generated files including the module name prefix (.pdb, ...) for f in glob.glob(os.path.join(builddir, module_name + "*")): if f.endswith(ext): if not output_binary: output_binary = os.path.join(os.getcwd(), module_name + ext) copy(f, output_binary) else: if not output_binary: output_directory = os.getcwd() else: output_directory = os.path.dirname(output_binary) copy(f, os.path.join(output_directory, os.path.basename(f))) shutil.rmtree(builddir) shutil.rmtree(buildtmp) logger.info("Generated module: " + module_name) logger.info("Output: " + output_binary) return output_binary
python
def compile_cxxfile(module_name, cxxfile, output_binary=None, **kwargs): '''c++ file -> native module Return the filename of the produced shared library Raises CompileError on failure ''' builddir = mkdtemp() buildtmp = mkdtemp() extension_args = make_extension(python=True, **kwargs) extension = PythranExtension(module_name, [cxxfile], **extension_args) try: setup(name=module_name, ext_modules=[extension], cmdclass={"build_ext": PythranBuildExt}, # fake CLI call script_name='setup.py', script_args=['--verbose' if logger.isEnabledFor(logging.INFO) else '--quiet', 'build_ext', '--build-lib', builddir, '--build-temp', buildtmp] ) except SystemExit as e: raise CompileError(str(e)) def copy(src_file, dest_file): # not using shutil.copy because it fails to copy stat across devices with open(src_file, 'rb') as src: with open(dest_file, 'wb') as dest: dest.write(src.read()) ext = sysconfig.get_config_var('SO') # Copy all generated files including the module name prefix (.pdb, ...) for f in glob.glob(os.path.join(builddir, module_name + "*")): if f.endswith(ext): if not output_binary: output_binary = os.path.join(os.getcwd(), module_name + ext) copy(f, output_binary) else: if not output_binary: output_directory = os.getcwd() else: output_directory = os.path.dirname(output_binary) copy(f, os.path.join(output_directory, os.path.basename(f))) shutil.rmtree(builddir) shutil.rmtree(buildtmp) logger.info("Generated module: " + module_name) logger.info("Output: " + output_binary) return output_binary
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c++ file -> native module Return the filename of the produced shared library Raises CompileError on failure
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7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/toolchain.py#L288-L345
237,773
serge-sans-paille/pythran
pythran/toolchain.py
compile_pythranfile
def compile_pythranfile(file_path, output_file=None, module_name=None, cpponly=False, pyonly=False, **kwargs): """ Pythran file -> c++ file -> native module. Returns the generated .so (or .cpp if `cpponly` is set to true). Usage without an existing spec file >>> with open('pythran_test.py', 'w') as fd: ... _ = fd.write('def foo(i): return i ** 2') >>> cpp_path = compile_pythranfile('pythran_test.py', cpponly=True) Usage with an existing spec file: >>> with open('pythran_test.pythran', 'w') as fd: ... _ = fd.write('export foo(int)') >>> so_path = compile_pythranfile('pythran_test.py') Specify the output file: >>> import sysconfig >>> ext = sysconfig.get_config_vars()["SO"] >>> so_path = compile_pythranfile('pythran_test.py', output_file='foo'+ext) """ if not output_file: # derive module name from input file name _, basename = os.path.split(file_path) module_name = module_name or os.path.splitext(basename)[0] else: # derive module name from destination output_file name _, basename = os.path.split(output_file) module_name = module_name or basename.split(".", 1)[0] module_dir = os.path.dirname(file_path) # Look for an extra spec file spec_file = os.path.splitext(file_path)[0] + '.pythran' if os.path.isfile(spec_file): specs = load_specfile(open(spec_file).read()) kwargs.setdefault('specs', specs) output_file = compile_pythrancode(module_name, open(file_path).read(), output_file=output_file, cpponly=cpponly, pyonly=pyonly, module_dir=module_dir, **kwargs) return output_file
python
def compile_pythranfile(file_path, output_file=None, module_name=None, cpponly=False, pyonly=False, **kwargs): """ Pythran file -> c++ file -> native module. Returns the generated .so (or .cpp if `cpponly` is set to true). Usage without an existing spec file >>> with open('pythran_test.py', 'w') as fd: ... _ = fd.write('def foo(i): return i ** 2') >>> cpp_path = compile_pythranfile('pythran_test.py', cpponly=True) Usage with an existing spec file: >>> with open('pythran_test.pythran', 'w') as fd: ... _ = fd.write('export foo(int)') >>> so_path = compile_pythranfile('pythran_test.py') Specify the output file: >>> import sysconfig >>> ext = sysconfig.get_config_vars()["SO"] >>> so_path = compile_pythranfile('pythran_test.py', output_file='foo'+ext) """ if not output_file: # derive module name from input file name _, basename = os.path.split(file_path) module_name = module_name or os.path.splitext(basename)[0] else: # derive module name from destination output_file name _, basename = os.path.split(output_file) module_name = module_name or basename.split(".", 1)[0] module_dir = os.path.dirname(file_path) # Look for an extra spec file spec_file = os.path.splitext(file_path)[0] + '.pythran' if os.path.isfile(spec_file): specs = load_specfile(open(spec_file).read()) kwargs.setdefault('specs', specs) output_file = compile_pythrancode(module_name, open(file_path).read(), output_file=output_file, cpponly=cpponly, pyonly=pyonly, module_dir=module_dir, **kwargs) return output_file
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Pythran file -> c++ file -> native module. Returns the generated .so (or .cpp if `cpponly` is set to true). Usage without an existing spec file >>> with open('pythran_test.py', 'w') as fd: ... _ = fd.write('def foo(i): return i ** 2') >>> cpp_path = compile_pythranfile('pythran_test.py', cpponly=True) Usage with an existing spec file: >>> with open('pythran_test.pythran', 'w') as fd: ... _ = fd.write('export foo(int)') >>> so_path = compile_pythranfile('pythran_test.py') Specify the output file: >>> import sysconfig >>> ext = sysconfig.get_config_vars()["SO"] >>> so_path = compile_pythranfile('pythran_test.py', output_file='foo'+ext)
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7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/toolchain.py#L425-L474
237,774
serge-sans-paille/pythran
pythran/transformations/remove_comprehension.py
RemoveComprehension.nest_reducer
def nest_reducer(x, g): """ Create a ast.For node from a comprehension and another node. g is an ast.comprehension. x is the code that have to be executed. Examples -------- >> [i for i in xrange(2)] Becomes >> for i in xrange(2): >> ... x code with if clauses ... It is a reducer as it can be call recursively for mutli generator. Ex : >> [i, j for i in xrange(2) for j in xrange(4)] """ def wrap_in_ifs(node, ifs): """ Wrap comprehension content in all possibles if clauses. Examples -------- >> [i for i in xrange(2) if i < 3 if 0 < i] Becomes >> for i in xrange(2): >> if i < 3: >> if 0 < i: >> ... the code from `node` ... Note the nested ifs clauses. """ return reduce(lambda n, if_: ast.If(if_, [n], []), ifs, node) return ast.For(g.target, g.iter, [wrap_in_ifs(x, g.ifs)], [])
python
def nest_reducer(x, g): """ Create a ast.For node from a comprehension and another node. g is an ast.comprehension. x is the code that have to be executed. Examples -------- >> [i for i in xrange(2)] Becomes >> for i in xrange(2): >> ... x code with if clauses ... It is a reducer as it can be call recursively for mutli generator. Ex : >> [i, j for i in xrange(2) for j in xrange(4)] """ def wrap_in_ifs(node, ifs): """ Wrap comprehension content in all possibles if clauses. Examples -------- >> [i for i in xrange(2) if i < 3 if 0 < i] Becomes >> for i in xrange(2): >> if i < 3: >> if 0 < i: >> ... the code from `node` ... Note the nested ifs clauses. """ return reduce(lambda n, if_: ast.If(if_, [n], []), ifs, node) return ast.For(g.target, g.iter, [wrap_in_ifs(x, g.ifs)], [])
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Create a ast.For node from a comprehension and another node. g is an ast.comprehension. x is the code that have to be executed. Examples -------- >> [i for i in xrange(2)] Becomes >> for i in xrange(2): >> ... x code with if clauses ... It is a reducer as it can be call recursively for mutli generator. Ex : >> [i, j for i in xrange(2) for j in xrange(4)]
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7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/transformations/remove_comprehension.py#L34-L72
237,775
serge-sans-paille/pythran
pythran/cxxgen.py
Declarator.inline
def inline(self): """Return the declarator as a single line.""" tp_lines, tp_decl = self.get_decl_pair() tp_lines = " ".join(tp_lines) if tp_decl is None: return tp_lines else: return "%s %s" % (tp_lines, tp_decl)
python
def inline(self): """Return the declarator as a single line.""" tp_lines, tp_decl = self.get_decl_pair() tp_lines = " ".join(tp_lines) if tp_decl is None: return tp_lines else: return "%s %s" % (tp_lines, tp_decl)
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Return the declarator as a single line.
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7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/cxxgen.py#L66-L73
237,776
serge-sans-paille/pythran
pythran/cxxgen.py
Struct.get_decl_pair
def get_decl_pair(self): """ See Declarator.get_decl_pair.""" def get_tp(): """ Iterator generating lines for struct definition. """ decl = "struct " if self.tpname is not None: decl += self.tpname if self.inherit is not None: decl += " : " + self.inherit yield decl yield "{" for f in self.fields: for f_line in f.generate(): yield " " + f_line yield "} " return get_tp(), ""
python
def get_decl_pair(self): """ See Declarator.get_decl_pair.""" def get_tp(): """ Iterator generating lines for struct definition. """ decl = "struct " if self.tpname is not None: decl += self.tpname if self.inherit is not None: decl += " : " + self.inherit yield decl yield "{" for f in self.fields: for f_line in f.generate(): yield " " + f_line yield "} " return get_tp(), ""
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See Declarator.get_decl_pair.
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7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/cxxgen.py#L160-L175
237,777
serge-sans-paille/pythran
pythran/transformations/normalize_static_if.py
NormalizeStaticIf.make_control_flow_handlers
def make_control_flow_handlers(self, cont_n, status_n, expected_return, has_cont, has_break): ''' Create the statements in charge of gathering control flow information for the static_if result, and executes the expected control flow instruction ''' if expected_return: assign = cont_ass = [ast.Assign( [ast.Tuple(expected_return, ast.Store())], ast.Name(cont_n, ast.Load(), None))] else: assign = cont_ass = [] if has_cont: cmpr = ast.Compare(ast.Name(status_n, ast.Load(), None), [ast.Eq()], [ast.Num(LOOP_CONT)]) cont_ass = [ast.If(cmpr, deepcopy(assign) + [ast.Continue()], cont_ass)] if has_break: cmpr = ast.Compare(ast.Name(status_n, ast.Load(), None), [ast.Eq()], [ast.Num(LOOP_BREAK)]) cont_ass = [ast.If(cmpr, deepcopy(assign) + [ast.Break()], cont_ass)] return cont_ass
python
def make_control_flow_handlers(self, cont_n, status_n, expected_return, has_cont, has_break): ''' Create the statements in charge of gathering control flow information for the static_if result, and executes the expected control flow instruction ''' if expected_return: assign = cont_ass = [ast.Assign( [ast.Tuple(expected_return, ast.Store())], ast.Name(cont_n, ast.Load(), None))] else: assign = cont_ass = [] if has_cont: cmpr = ast.Compare(ast.Name(status_n, ast.Load(), None), [ast.Eq()], [ast.Num(LOOP_CONT)]) cont_ass = [ast.If(cmpr, deepcopy(assign) + [ast.Continue()], cont_ass)] if has_break: cmpr = ast.Compare(ast.Name(status_n, ast.Load(), None), [ast.Eq()], [ast.Num(LOOP_BREAK)]) cont_ass = [ast.If(cmpr, deepcopy(assign) + [ast.Break()], cont_ass)] return cont_ass
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Create the statements in charge of gathering control flow information for the static_if result, and executes the expected control flow instruction
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7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/transformations/normalize_static_if.py#L184-L210
237,778
serge-sans-paille/pythran
pythran/optimizations/pattern_transform.py
PlaceholderReplace.visit
def visit(self, node): """ Replace the placeholder if it is one or continue. """ if isinstance(node, Placeholder): return self.placeholders[node.id] else: return super(PlaceholderReplace, self).visit(node)
python
def visit(self, node): """ Replace the placeholder if it is one or continue. """ if isinstance(node, Placeholder): return self.placeholders[node.id] else: return super(PlaceholderReplace, self).visit(node)
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Replace the placeholder if it is one or continue.
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7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/optimizations/pattern_transform.py#L149-L154
237,779
serge-sans-paille/pythran
pythran/optimizations/pattern_transform.py
PatternTransform.visit
def visit(self, node): """ Try to replace if node match the given pattern or keep going. """ for pattern, replace in know_pattern: check = Check(node, dict()) if check.visit(pattern): node = PlaceholderReplace(check.placeholders).visit(replace()) self.update = True return super(PatternTransform, self).visit(node)
python
def visit(self, node): """ Try to replace if node match the given pattern or keep going. """ for pattern, replace in know_pattern: check = Check(node, dict()) if check.visit(pattern): node = PlaceholderReplace(check.placeholders).visit(replace()) self.update = True return super(PatternTransform, self).visit(node)
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Try to replace if node match the given pattern or keep going.
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7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/optimizations/pattern_transform.py#L169-L176
237,780
serge-sans-paille/pythran
pythran/analyses/local_declarations.py
LocalNameDeclarations.visit_Name
def visit_Name(self, node): """ Any node with Store or Param context is a new identifier. """ if isinstance(node.ctx, (ast.Store, ast.Param)): self.result.add(node.id)
python
def visit_Name(self, node): """ Any node with Store or Param context is a new identifier. """ if isinstance(node.ctx, (ast.Store, ast.Param)): self.result.add(node.id)
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Any node with Store or Param context is a new identifier.
[ "Any", "node", "with", "Store", "or", "Param", "context", "is", "a", "new", "identifier", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/analyses/local_declarations.py#L66-L69
237,781
serge-sans-paille/pythran
pythran/analyses/local_declarations.py
LocalNameDeclarations.visit_FunctionDef
def visit_FunctionDef(self, node): """ Function name is a possible identifier. """ self.result.add(node.name) self.generic_visit(node)
python
def visit_FunctionDef(self, node): """ Function name is a possible identifier. """ self.result.add(node.name) self.generic_visit(node)
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Function name is a possible identifier.
[ "Function", "name", "is", "a", "possible", "identifier", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/analyses/local_declarations.py#L71-L74
237,782
serge-sans-paille/pythran
pythran/analyses/cfg.py
CFG.visit_If
def visit_If(self, node): """ OUT = true branch U false branch RAISES = true branch U false branch """ currs = (node,) raises = () # true branch for n in node.body: self.result.add_node(n) for curr in currs: self.result.add_edge(curr, n) currs, nraises = self.visit(n) raises += nraises if is_true_predicate(node.test): return currs, raises # false branch tcurrs = currs currs = (node,) for n in node.orelse: self.result.add_node(n) for curr in currs: self.result.add_edge(curr, n) currs, nraises = self.visit(n) raises += nraises return tcurrs + currs, raises
python
def visit_If(self, node): """ OUT = true branch U false branch RAISES = true branch U false branch """ currs = (node,) raises = () # true branch for n in node.body: self.result.add_node(n) for curr in currs: self.result.add_edge(curr, n) currs, nraises = self.visit(n) raises += nraises if is_true_predicate(node.test): return currs, raises # false branch tcurrs = currs currs = (node,) for n in node.orelse: self.result.add_node(n) for curr in currs: self.result.add_edge(curr, n) currs, nraises = self.visit(n) raises += nraises return tcurrs + currs, raises
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OUT = true branch U false branch RAISES = true branch U false branch
[ "OUT", "=", "true", "branch", "U", "false", "branch", "RAISES", "=", "true", "branch", "U", "false", "branch" ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/analyses/cfg.py#L104-L131
237,783
serge-sans-paille/pythran
pythran/analyses/cfg.py
CFG.visit_Try
def visit_Try(self, node): """ OUT = body's U handler's RAISES = handler's this equation is not has good has it could be... but we need type information to be more accurate """ currs = (node,) raises = () for handler in node.handlers: self.result.add_node(handler) for n in node.body: self.result.add_node(n) for curr in currs: self.result.add_edge(curr, n) currs, nraises = self.visit(n) for nraise in nraises: if isinstance(nraise, ast.Raise): for handler in node.handlers: self.result.add_edge(nraise, handler) else: raises += (nraise,) for handler in node.handlers: ncurrs, nraises = self.visit(handler) currs += ncurrs raises += nraises return currs, raises
python
def visit_Try(self, node): """ OUT = body's U handler's RAISES = handler's this equation is not has good has it could be... but we need type information to be more accurate """ currs = (node,) raises = () for handler in node.handlers: self.result.add_node(handler) for n in node.body: self.result.add_node(n) for curr in currs: self.result.add_edge(curr, n) currs, nraises = self.visit(n) for nraise in nraises: if isinstance(nraise, ast.Raise): for handler in node.handlers: self.result.add_edge(nraise, handler) else: raises += (nraise,) for handler in node.handlers: ncurrs, nraises = self.visit(handler) currs += ncurrs raises += nraises return currs, raises
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OUT = body's U handler's RAISES = handler's this equation is not has good has it could be... but we need type information to be more accurate
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7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/analyses/cfg.py#L143-L169
237,784
serge-sans-paille/pythran
pythran/analyses/cfg.py
CFG.visit_ExceptHandler
def visit_ExceptHandler(self, node): """OUT = body's, RAISES = body's""" currs = (node,) raises = () for n in node.body: self.result.add_node(n) for curr in currs: self.result.add_edge(curr, n) currs, nraises = self.visit(n) raises += nraises return currs, raises
python
def visit_ExceptHandler(self, node): """OUT = body's, RAISES = body's""" currs = (node,) raises = () for n in node.body: self.result.add_node(n) for curr in currs: self.result.add_edge(curr, n) currs, nraises = self.visit(n) raises += nraises return currs, raises
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OUT = body's, RAISES = body's
[ "OUT", "=", "body", "s", "RAISES", "=", "body", "s" ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/analyses/cfg.py#L171-L181
237,785
serge-sans-paille/pythran
pythran/analyses/is_assigned.py
IsAssigned.visit_Name
def visit_Name(self, node): """ Stored variable have new value. """ if isinstance(node.ctx, ast.Store): self.result[node.id] = True
python
def visit_Name(self, node): """ Stored variable have new value. """ if isinstance(node.ctx, ast.Store): self.result[node.id] = True
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Stored variable have new value.
[ "Stored", "variable", "have", "new", "value", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/analyses/is_assigned.py#L23-L26
237,786
serge-sans-paille/pythran
pythran/analyses/range_values.py
RangeValues.add
def add(self, variable, range_): """ Add a new low and high bound for a variable. As it is flow insensitive, it compares it with old values and update it if needed. """ if variable not in self.result: self.result[variable] = range_ else: self.result[variable] = self.result[variable].union(range_) return self.result[variable]
python
def add(self, variable, range_): """ Add a new low and high bound for a variable. As it is flow insensitive, it compares it with old values and update it if needed. """ if variable not in self.result: self.result[variable] = range_ else: self.result[variable] = self.result[variable].union(range_) return self.result[variable]
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Add a new low and high bound for a variable. As it is flow insensitive, it compares it with old values and update it if needed.
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7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/analyses/range_values.py#L47-L58
237,787
serge-sans-paille/pythran
pythran/analyses/range_values.py
RangeValues.visit_Assign
def visit_Assign(self, node): """ Set range value for assigned variable. We do not handle container values. >>> import gast as ast >>> from pythran import passmanager, backend >>> node = ast.parse("def foo(): a = b = 2") >>> pm = passmanager.PassManager("test") >>> res = pm.gather(RangeValues, node) >>> res['a'] Interval(low=2, high=2) >>> res['b'] Interval(low=2, high=2) """ assigned_range = self.visit(node.value) for target in node.targets: if isinstance(target, ast.Name): # Make sure all Interval doesn't alias for multiple variables. self.add(target.id, assigned_range) else: self.visit(target)
python
def visit_Assign(self, node): """ Set range value for assigned variable. We do not handle container values. >>> import gast as ast >>> from pythran import passmanager, backend >>> node = ast.parse("def foo(): a = b = 2") >>> pm = passmanager.PassManager("test") >>> res = pm.gather(RangeValues, node) >>> res['a'] Interval(low=2, high=2) >>> res['b'] Interval(low=2, high=2) """ assigned_range = self.visit(node.value) for target in node.targets: if isinstance(target, ast.Name): # Make sure all Interval doesn't alias for multiple variables. self.add(target.id, assigned_range) else: self.visit(target)
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Set range value for assigned variable. We do not handle container values. >>> import gast as ast >>> from pythran import passmanager, backend >>> node = ast.parse("def foo(): a = b = 2") >>> pm = passmanager.PassManager("test") >>> res = pm.gather(RangeValues, node) >>> res['a'] Interval(low=2, high=2) >>> res['b'] Interval(low=2, high=2)
[ "Set", "range", "value", "for", "assigned", "variable", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/analyses/range_values.py#L74-L96
237,788
serge-sans-paille/pythran
pythran/analyses/range_values.py
RangeValues.visit_AugAssign
def visit_AugAssign(self, node): """ Update range value for augassigned variables. >>> import gast as ast >>> from pythran import passmanager, backend >>> node = ast.parse("def foo(): a = 2; a -= 1") >>> pm = passmanager.PassManager("test") >>> res = pm.gather(RangeValues, node) >>> res['a'] Interval(low=1, high=2) """ self.generic_visit(node) if isinstance(node.target, ast.Name): name = node.target.id res = combine(node.op, self.result[name], self.result[node.value]) self.result[name] = self.result[name].union(res)
python
def visit_AugAssign(self, node): """ Update range value for augassigned variables. >>> import gast as ast >>> from pythran import passmanager, backend >>> node = ast.parse("def foo(): a = 2; a -= 1") >>> pm = passmanager.PassManager("test") >>> res = pm.gather(RangeValues, node) >>> res['a'] Interval(low=1, high=2) """ self.generic_visit(node) if isinstance(node.target, ast.Name): name = node.target.id res = combine(node.op, self.result[name], self.result[node.value]) self.result[name] = self.result[name].union(res)
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Update range value for augassigned variables. >>> import gast as ast >>> from pythran import passmanager, backend >>> node = ast.parse("def foo(): a = 2; a -= 1") >>> pm = passmanager.PassManager("test") >>> res = pm.gather(RangeValues, node) >>> res['a'] Interval(low=1, high=2)
[ "Update", "range", "value", "for", "augassigned", "variables", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/analyses/range_values.py#L98-L115
237,789
serge-sans-paille/pythran
pythran/analyses/range_values.py
RangeValues.visit_For
def visit_For(self, node): """ Handle iterate variable in for loops. >>> import gast as ast >>> from pythran import passmanager, backend >>> node = ast.parse(''' ... def foo(): ... a = b = c = 2 ... for i in __builtin__.range(1): ... a -= 1 ... b += 1''') >>> pm = passmanager.PassManager("test") >>> res = pm.gather(RangeValues, node) >>> res['a'] Interval(low=-inf, high=2) >>> res['b'] Interval(low=2, high=inf) >>> res['c'] Interval(low=2, high=2) """ assert isinstance(node.target, ast.Name), "For apply on variables." self.visit(node.iter) if isinstance(node.iter, ast.Call): for alias in self.aliases[node.iter.func]: if isinstance(alias, Intrinsic): self.add(node.target.id, alias.return_range_content( [self.visit(n) for n in node.iter.args])) self.visit_loop(node)
python
def visit_For(self, node): """ Handle iterate variable in for loops. >>> import gast as ast >>> from pythran import passmanager, backend >>> node = ast.parse(''' ... def foo(): ... a = b = c = 2 ... for i in __builtin__.range(1): ... a -= 1 ... b += 1''') >>> pm = passmanager.PassManager("test") >>> res = pm.gather(RangeValues, node) >>> res['a'] Interval(low=-inf, high=2) >>> res['b'] Interval(low=2, high=inf) >>> res['c'] Interval(low=2, high=2) """ assert isinstance(node.target, ast.Name), "For apply on variables." self.visit(node.iter) if isinstance(node.iter, ast.Call): for alias in self.aliases[node.iter.func]: if isinstance(alias, Intrinsic): self.add(node.target.id, alias.return_range_content( [self.visit(n) for n in node.iter.args])) self.visit_loop(node)
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Handle iterate variable in for loops. >>> import gast as ast >>> from pythran import passmanager, backend >>> node = ast.parse(''' ... def foo(): ... a = b = c = 2 ... for i in __builtin__.range(1): ... a -= 1 ... b += 1''') >>> pm = passmanager.PassManager("test") >>> res = pm.gather(RangeValues, node) >>> res['a'] Interval(low=-inf, high=2) >>> res['b'] Interval(low=2, high=inf) >>> res['c'] Interval(low=2, high=2)
[ "Handle", "iterate", "variable", "in", "for", "loops", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/analyses/range_values.py#L117-L146
237,790
serge-sans-paille/pythran
pythran/analyses/range_values.py
RangeValues.visit_loop
def visit_loop(self, node, cond=None): """ Handle incremented variables in loop body. >>> import gast as ast >>> from pythran import passmanager, backend >>> node = ast.parse(''' ... def foo(): ... a = b = c = 2 ... while a > 0: ... a -= 1 ... b += 1''') >>> pm = passmanager.PassManager("test") >>> res = pm.gather(RangeValues, node) >>> res['a'] Interval(low=-inf, high=2) >>> res['b'] Interval(low=2, high=inf) >>> res['c'] Interval(low=2, high=2) """ # visit once to gather newly declared vars for stmt in node.body: self.visit(stmt) # freeze current state old_range = self.result.copy() # extra round for stmt in node.body: self.visit(stmt) # widen any change for expr, range_ in old_range.items(): self.result[expr] = self.result[expr].widen(range_) # propagate the new informations cond and self.visit(cond) for stmt in node.body: self.visit(stmt) for stmt in node.orelse: self.visit(stmt)
python
def visit_loop(self, node, cond=None): """ Handle incremented variables in loop body. >>> import gast as ast >>> from pythran import passmanager, backend >>> node = ast.parse(''' ... def foo(): ... a = b = c = 2 ... while a > 0: ... a -= 1 ... b += 1''') >>> pm = passmanager.PassManager("test") >>> res = pm.gather(RangeValues, node) >>> res['a'] Interval(low=-inf, high=2) >>> res['b'] Interval(low=2, high=inf) >>> res['c'] Interval(low=2, high=2) """ # visit once to gather newly declared vars for stmt in node.body: self.visit(stmt) # freeze current state old_range = self.result.copy() # extra round for stmt in node.body: self.visit(stmt) # widen any change for expr, range_ in old_range.items(): self.result[expr] = self.result[expr].widen(range_) # propagate the new informations cond and self.visit(cond) for stmt in node.body: self.visit(stmt) for stmt in node.orelse: self.visit(stmt)
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Handle incremented variables in loop body. >>> import gast as ast >>> from pythran import passmanager, backend >>> node = ast.parse(''' ... def foo(): ... a = b = c = 2 ... while a > 0: ... a -= 1 ... b += 1''') >>> pm = passmanager.PassManager("test") >>> res = pm.gather(RangeValues, node) >>> res['a'] Interval(low=-inf, high=2) >>> res['b'] Interval(low=2, high=inf) >>> res['c'] Interval(low=2, high=2)
[ "Handle", "incremented", "variables", "in", "loop", "body", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/analyses/range_values.py#L148-L189
237,791
serge-sans-paille/pythran
pythran/analyses/range_values.py
RangeValues.visit_BoolOp
def visit_BoolOp(self, node): """ Merge right and left operands ranges. TODO : We could exclude some operand with this range information... >>> import gast as ast >>> from pythran import passmanager, backend >>> node = ast.parse(''' ... def foo(): ... a = 2 ... c = 3 ... d = a or c''') >>> pm = passmanager.PassManager("test") >>> res = pm.gather(RangeValues, node) >>> res['d'] Interval(low=2, high=3) """ res = list(zip(*[self.visit(elt).bounds() for elt in node.values])) return self.add(node, Interval(min(res[0]), max(res[1])))
python
def visit_BoolOp(self, node): """ Merge right and left operands ranges. TODO : We could exclude some operand with this range information... >>> import gast as ast >>> from pythran import passmanager, backend >>> node = ast.parse(''' ... def foo(): ... a = 2 ... c = 3 ... d = a or c''') >>> pm = passmanager.PassManager("test") >>> res = pm.gather(RangeValues, node) >>> res['d'] Interval(low=2, high=3) """ res = list(zip(*[self.visit(elt).bounds() for elt in node.values])) return self.add(node, Interval(min(res[0]), max(res[1])))
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Merge right and left operands ranges. TODO : We could exclude some operand with this range information... >>> import gast as ast >>> from pythran import passmanager, backend >>> node = ast.parse(''' ... def foo(): ... a = 2 ... c = 3 ... d = a or c''') >>> pm = passmanager.PassManager("test") >>> res = pm.gather(RangeValues, node) >>> res['d'] Interval(low=2, high=3)
[ "Merge", "right", "and", "left", "operands", "ranges", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/analyses/range_values.py#L195-L213
237,792
serge-sans-paille/pythran
pythran/analyses/range_values.py
RangeValues.visit_BinOp
def visit_BinOp(self, node): """ Combine operands ranges for given operator. >>> import gast as ast >>> from pythran import passmanager, backend >>> node = ast.parse(''' ... def foo(): ... a = 2 ... c = 3 ... d = a - c''') >>> pm = passmanager.PassManager("test") >>> res = pm.gather(RangeValues, node) >>> res['d'] Interval(low=-1, high=-1) """ res = combine(node.op, self.visit(node.left), self.visit(node.right)) return self.add(node, res)
python
def visit_BinOp(self, node): """ Combine operands ranges for given operator. >>> import gast as ast >>> from pythran import passmanager, backend >>> node = ast.parse(''' ... def foo(): ... a = 2 ... c = 3 ... d = a - c''') >>> pm = passmanager.PassManager("test") >>> res = pm.gather(RangeValues, node) >>> res['d'] Interval(low=-1, high=-1) """ res = combine(node.op, self.visit(node.left), self.visit(node.right)) return self.add(node, res)
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Combine operands ranges for given operator. >>> import gast as ast >>> from pythran import passmanager, backend >>> node = ast.parse(''' ... def foo(): ... a = 2 ... c = 3 ... d = a - c''') >>> pm = passmanager.PassManager("test") >>> res = pm.gather(RangeValues, node) >>> res['d'] Interval(low=-1, high=-1)
[ "Combine", "operands", "ranges", "for", "given", "operator", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/analyses/range_values.py#L215-L231
237,793
serge-sans-paille/pythran
pythran/analyses/range_values.py
RangeValues.visit_UnaryOp
def visit_UnaryOp(self, node): """ Update range with given unary operation. >>> import gast as ast >>> from pythran import passmanager, backend >>> node = ast.parse(''' ... def foo(): ... a = 2 ... c = -a ... d = ~a ... f = +a ... e = not a''') >>> pm = passmanager.PassManager("test") >>> res = pm.gather(RangeValues, node) >>> res['f'] Interval(low=2, high=2) >>> res['c'] Interval(low=-2, high=-2) >>> res['d'] Interval(low=-3, high=-3) >>> res['e'] Interval(low=0, high=1) """ res = self.visit(node.operand) if isinstance(node.op, ast.Not): res = Interval(0, 1) elif(isinstance(node.op, ast.Invert) and isinstance(res.high, int) and isinstance(res.low, int)): res = Interval(~res.high, ~res.low) elif isinstance(node.op, ast.UAdd): pass elif isinstance(node.op, ast.USub): res = Interval(-res.high, -res.low) else: res = UNKNOWN_RANGE return self.add(node, res)
python
def visit_UnaryOp(self, node): """ Update range with given unary operation. >>> import gast as ast >>> from pythran import passmanager, backend >>> node = ast.parse(''' ... def foo(): ... a = 2 ... c = -a ... d = ~a ... f = +a ... e = not a''') >>> pm = passmanager.PassManager("test") >>> res = pm.gather(RangeValues, node) >>> res['f'] Interval(low=2, high=2) >>> res['c'] Interval(low=-2, high=-2) >>> res['d'] Interval(low=-3, high=-3) >>> res['e'] Interval(low=0, high=1) """ res = self.visit(node.operand) if isinstance(node.op, ast.Not): res = Interval(0, 1) elif(isinstance(node.op, ast.Invert) and isinstance(res.high, int) and isinstance(res.low, int)): res = Interval(~res.high, ~res.low) elif isinstance(node.op, ast.UAdd): pass elif isinstance(node.op, ast.USub): res = Interval(-res.high, -res.low) else: res = UNKNOWN_RANGE return self.add(node, res)
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Update range with given unary operation. >>> import gast as ast >>> from pythran import passmanager, backend >>> node = ast.parse(''' ... def foo(): ... a = 2 ... c = -a ... d = ~a ... f = +a ... e = not a''') >>> pm = passmanager.PassManager("test") >>> res = pm.gather(RangeValues, node) >>> res['f'] Interval(low=2, high=2) >>> res['c'] Interval(low=-2, high=-2) >>> res['d'] Interval(low=-3, high=-3) >>> res['e'] Interval(low=0, high=1)
[ "Update", "range", "with", "given", "unary", "operation", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/analyses/range_values.py#L233-L269
237,794
serge-sans-paille/pythran
pythran/analyses/range_values.py
RangeValues.visit_If
def visit_If(self, node): """ Handle iterate variable across branches >>> import gast as ast >>> from pythran import passmanager, backend >>> node = ast.parse(''' ... def foo(a): ... if a > 1: b = 1 ... else: b = 3''') >>> pm = passmanager.PassManager("test") >>> res = pm.gather(RangeValues, node) >>> res['b'] Interval(low=1, high=3) """ self.visit(node.test) old_range = self.result self.result = old_range.copy() for stmt in node.body: self.visit(stmt) body_range = self.result self.result = old_range.copy() for stmt in node.orelse: self.visit(stmt) orelse_range = self.result self.result = body_range for k, v in orelse_range.items(): if k in self.result: self.result[k] = self.result[k].union(v) else: self.result[k] = v
python
def visit_If(self, node): """ Handle iterate variable across branches >>> import gast as ast >>> from pythran import passmanager, backend >>> node = ast.parse(''' ... def foo(a): ... if a > 1: b = 1 ... else: b = 3''') >>> pm = passmanager.PassManager("test") >>> res = pm.gather(RangeValues, node) >>> res['b'] Interval(low=1, high=3) """ self.visit(node.test) old_range = self.result self.result = old_range.copy() for stmt in node.body: self.visit(stmt) body_range = self.result self.result = old_range.copy() for stmt in node.orelse: self.visit(stmt) orelse_range = self.result self.result = body_range for k, v in orelse_range.items(): if k in self.result: self.result[k] = self.result[k].union(v) else: self.result[k] = v
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Handle iterate variable across branches >>> import gast as ast >>> from pythran import passmanager, backend >>> node = ast.parse(''' ... def foo(a): ... if a > 1: b = 1 ... else: b = 3''') >>> pm = passmanager.PassManager("test") >>> res = pm.gather(RangeValues, node) >>> res['b'] Interval(low=1, high=3)
[ "Handle", "iterate", "variable", "across", "branches" ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/analyses/range_values.py#L271-L304
237,795
serge-sans-paille/pythran
pythran/analyses/range_values.py
RangeValues.visit_IfExp
def visit_IfExp(self, node): """ Use worst case for both possible values. >>> import gast as ast >>> from pythran import passmanager, backend >>> node = ast.parse(''' ... def foo(): ... a = 2 or 3 ... b = 4 or 5 ... c = a if a else b''') >>> pm = passmanager.PassManager("test") >>> res = pm.gather(RangeValues, node) >>> res['c'] Interval(low=2, high=5) """ self.visit(node.test) body_res = self.visit(node.body) orelse_res = self.visit(node.orelse) return self.add(node, orelse_res.union(body_res))
python
def visit_IfExp(self, node): """ Use worst case for both possible values. >>> import gast as ast >>> from pythran import passmanager, backend >>> node = ast.parse(''' ... def foo(): ... a = 2 or 3 ... b = 4 or 5 ... c = a if a else b''') >>> pm = passmanager.PassManager("test") >>> res = pm.gather(RangeValues, node) >>> res['c'] Interval(low=2, high=5) """ self.visit(node.test) body_res = self.visit(node.body) orelse_res = self.visit(node.orelse) return self.add(node, orelse_res.union(body_res))
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Use worst case for both possible values. >>> import gast as ast >>> from pythran import passmanager, backend >>> node = ast.parse(''' ... def foo(): ... a = 2 or 3 ... b = 4 or 5 ... c = a if a else b''') >>> pm = passmanager.PassManager("test") >>> res = pm.gather(RangeValues, node) >>> res['c'] Interval(low=2, high=5)
[ "Use", "worst", "case", "for", "both", "possible", "values", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/analyses/range_values.py#L306-L324
237,796
serge-sans-paille/pythran
pythran/analyses/range_values.py
RangeValues.visit_Compare
def visit_Compare(self, node): """ Boolean are possible index. >>> import gast as ast >>> from pythran import passmanager, backend >>> node = ast.parse(''' ... def foo(): ... a = 2 or 3 ... b = 4 or 5 ... c = a < b ... d = b < 3 ... e = b == 4''') >>> pm = passmanager.PassManager("test") >>> res = pm.gather(RangeValues, node) >>> res['c'] Interval(low=1, high=1) >>> res['d'] Interval(low=0, high=0) >>> res['e'] Interval(low=0, high=1) """ if any(isinstance(op, (ast.In, ast.NotIn, ast.Is, ast.IsNot)) for op in node.ops): self.generic_visit(node) return self.add(node, Interval(0, 1)) curr = self.visit(node.left) res = [] for op, comparator in zip(node.ops, node.comparators): comparator = self.visit(comparator) fake = ast.Compare(ast.Name('x', ast.Load(), None), [op], [ast.Name('y', ast.Load(), None)]) fake = ast.Expression(fake) ast.fix_missing_locations(fake) expr = compile(ast.gast_to_ast(fake), '<range_values>', 'eval') res.append(eval(expr, {'x': curr, 'y': comparator})) if all(res): return self.add(node, Interval(1, 1)) elif any(r.low == r.high == 0 for r in res): return self.add(node, Interval(0, 0)) else: return self.add(node, Interval(0, 1))
python
def visit_Compare(self, node): """ Boolean are possible index. >>> import gast as ast >>> from pythran import passmanager, backend >>> node = ast.parse(''' ... def foo(): ... a = 2 or 3 ... b = 4 or 5 ... c = a < b ... d = b < 3 ... e = b == 4''') >>> pm = passmanager.PassManager("test") >>> res = pm.gather(RangeValues, node) >>> res['c'] Interval(low=1, high=1) >>> res['d'] Interval(low=0, high=0) >>> res['e'] Interval(low=0, high=1) """ if any(isinstance(op, (ast.In, ast.NotIn, ast.Is, ast.IsNot)) for op in node.ops): self.generic_visit(node) return self.add(node, Interval(0, 1)) curr = self.visit(node.left) res = [] for op, comparator in zip(node.ops, node.comparators): comparator = self.visit(comparator) fake = ast.Compare(ast.Name('x', ast.Load(), None), [op], [ast.Name('y', ast.Load(), None)]) fake = ast.Expression(fake) ast.fix_missing_locations(fake) expr = compile(ast.gast_to_ast(fake), '<range_values>', 'eval') res.append(eval(expr, {'x': curr, 'y': comparator})) if all(res): return self.add(node, Interval(1, 1)) elif any(r.low == r.high == 0 for r in res): return self.add(node, Interval(0, 0)) else: return self.add(node, Interval(0, 1))
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Boolean are possible index. >>> import gast as ast >>> from pythran import passmanager, backend >>> node = ast.parse(''' ... def foo(): ... a = 2 or 3 ... b = 4 or 5 ... c = a < b ... d = b < 3 ... e = b == 4''') >>> pm = passmanager.PassManager("test") >>> res = pm.gather(RangeValues, node) >>> res['c'] Interval(low=1, high=1) >>> res['d'] Interval(low=0, high=0) >>> res['e'] Interval(low=0, high=1)
[ "Boolean", "are", "possible", "index", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/analyses/range_values.py#L326-L368
237,797
serge-sans-paille/pythran
pythran/analyses/range_values.py
RangeValues.visit_Call
def visit_Call(self, node): """ Function calls are not handled for now. >>> import gast as ast >>> from pythran import passmanager, backend >>> node = ast.parse(''' ... def foo(): ... a = __builtin__.range(10)''') >>> pm = passmanager.PassManager("test") >>> res = pm.gather(RangeValues, node) >>> res['a'] Interval(low=-inf, high=inf) """ for alias in self.aliases[node.func]: if alias is MODULES['__builtin__']['getattr']: attr_name = node.args[-1].s attribute = attributes[attr_name][-1] self.add(node, attribute.return_range(None)) elif isinstance(alias, Intrinsic): alias_range = alias.return_range( [self.visit(n) for n in node.args]) self.add(node, alias_range) else: return self.generic_visit(node) return self.result[node]
python
def visit_Call(self, node): """ Function calls are not handled for now. >>> import gast as ast >>> from pythran import passmanager, backend >>> node = ast.parse(''' ... def foo(): ... a = __builtin__.range(10)''') >>> pm = passmanager.PassManager("test") >>> res = pm.gather(RangeValues, node) >>> res['a'] Interval(low=-inf, high=inf) """ for alias in self.aliases[node.func]: if alias is MODULES['__builtin__']['getattr']: attr_name = node.args[-1].s attribute = attributes[attr_name][-1] self.add(node, attribute.return_range(None)) elif isinstance(alias, Intrinsic): alias_range = alias.return_range( [self.visit(n) for n in node.args]) self.add(node, alias_range) else: return self.generic_visit(node) return self.result[node]
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Function calls are not handled for now. >>> import gast as ast >>> from pythran import passmanager, backend >>> node = ast.parse(''' ... def foo(): ... a = __builtin__.range(10)''') >>> pm = passmanager.PassManager("test") >>> res = pm.gather(RangeValues, node) >>> res['a'] Interval(low=-inf, high=inf)
[ "Function", "calls", "are", "not", "handled", "for", "now", "." ]
7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/analyses/range_values.py#L370-L394
237,798
serge-sans-paille/pythran
pythran/analyses/range_values.py
RangeValues.visit_Num
def visit_Num(self, node): """ Handle literals integers values. """ if isinstance(node.n, int): return self.add(node, Interval(node.n, node.n)) return UNKNOWN_RANGE
python
def visit_Num(self, node): """ Handle literals integers values. """ if isinstance(node.n, int): return self.add(node, Interval(node.n, node.n)) return UNKNOWN_RANGE
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Handle literals integers values.
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7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/analyses/range_values.py#L396-L400
237,799
serge-sans-paille/pythran
pythran/analyses/range_values.py
RangeValues.visit_Name
def visit_Name(self, node): """ Get range for parameters for examples or false branching. """ return self.add(node, self.result[node.id])
python
def visit_Name(self, node): """ Get range for parameters for examples or false branching. """ return self.add(node, self.result[node.id])
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Get range for parameters for examples or false branching.
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7e1b5af2dddfabc50bd2a977f0178be269b349b5
https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/analyses/range_values.py#L402-L404