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251,600 | 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):
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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251,601 | 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):
if isinstance(node.ctx, ast.Store):
self.result[node.id] = True | [
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251,602 | 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_):
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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251,603 | 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):
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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>>> 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) | [
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251,604 | 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):
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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>>> pm = passmanager.PassManager("test")
>>> res = pm.gather(RangeValues, node)
>>> res['a']
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251,605 | 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):
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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>>> 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) | [
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251,606 | 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):
# 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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>>> 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) | [
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251,607 | 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):
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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>>> 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) | [
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251,608 | 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):
res = combine(node.op, self.visit(node.left), self.visit(node.right))
return self.add(node, res) | [
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>>> 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) | [
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251,609 | 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):
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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>>> 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) | [
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] | 7e1b5af2dddfabc50bd2a977f0178be269b349b5 | https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/analyses/range_values.py#L233-L269 |
251,610 | 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):
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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>>> 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",
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] | 7e1b5af2dddfabc50bd2a977f0178be269b349b5 | https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/analyses/range_values.py#L271-L304 |
251,611 | 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):
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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>>> 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) | [
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] | 7e1b5af2dddfabc50bd2a977f0178be269b349b5 | https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/analyses/range_values.py#L306-L324 |
251,612 | 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):
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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>>> 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) | [
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] | 7e1b5af2dddfabc50bd2a977f0178be269b349b5 | https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/analyses/range_values.py#L326-L368 |
251,613 | 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):
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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>>> 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) | [
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] | 7e1b5af2dddfabc50bd2a977f0178be269b349b5 | https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/analyses/range_values.py#L370-L394 |
251,614 | 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):
if isinstance(node.n, int):
return self.add(node, Interval(node.n, node.n))
return UNKNOWN_RANGE | [
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251,615 | 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):
return self.add(node, self.result[node.id]) | [
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251,616 | serge-sans-paille/pythran | pythran/analyses/range_values.py | RangeValues.generic_visit | def generic_visit(self, node):
""" Other nodes are not known and range value neither. """
super(RangeValues, self).generic_visit(node)
return self.add(node, UNKNOWN_RANGE) | python | def generic_visit(self, node):
super(RangeValues, self).generic_visit(node)
return self.add(node, UNKNOWN_RANGE) | [
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251,617 | serge-sans-paille/pythran | pythran/run.py | compile_flags | def compile_flags(args):
"""
Build a dictionnary with an entry for cppflags, ldflags, and cxxflags.
These options are filled according to the command line defined options
"""
compiler_options = {
'define_macros': args.defines,
'undef_macros': args.undefs,
'include_dirs': args.include_dirs,
'extra_compile_args': args.extra_flags,
'library_dirs': args.libraries_dir,
'extra_link_args': args.extra_flags,
}
for param in ('opts', ):
val = getattr(args, param, None)
if val:
compiler_options[param] = val
return compiler_options | python | def compile_flags(args):
compiler_options = {
'define_macros': args.defines,
'undef_macros': args.undefs,
'include_dirs': args.include_dirs,
'extra_compile_args': args.extra_flags,
'library_dirs': args.libraries_dir,
'extra_link_args': args.extra_flags,
}
for param in ('opts', ):
val = getattr(args, param, None)
if val:
compiler_options[param] = val
return compiler_options | [
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251,618 | serge-sans-paille/pythran | pythran/optimizations/iter_transformation.py | IterTransformation.find_matching_builtin | def find_matching_builtin(self, node):
"""
Return matched keyword.
If the node alias on a correct keyword (and only it), it matches.
"""
for path in EQUIVALENT_ITERATORS.keys():
correct_alias = {path_to_node(path)}
if self.aliases[node.func] == correct_alias:
return path | python | def find_matching_builtin(self, node):
for path in EQUIVALENT_ITERATORS.keys():
correct_alias = {path_to_node(path)}
if self.aliases[node.func] == correct_alias:
return path | [
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251,619 | serge-sans-paille/pythran | pythran/optimizations/iter_transformation.py | IterTransformation.visit_Module | def visit_Module(self, node):
"""Add itertools import for imap, izip or ifilter iterator."""
self.generic_visit(node)
import_alias = ast.alias(name='itertools', asname=mangle('itertools'))
if self.use_itertools:
importIt = ast.Import(names=[import_alias])
node.body.insert(0, importIt)
return node | python | def visit_Module(self, node):
self.generic_visit(node)
import_alias = ast.alias(name='itertools', asname=mangle('itertools'))
if self.use_itertools:
importIt = ast.Import(names=[import_alias])
node.body.insert(0, importIt)
return node | [
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251,620 | serge-sans-paille/pythran | pythran/optimizations/iter_transformation.py | IterTransformation.visit_Call | def visit_Call(self, node):
"""Replace function call by its correct iterator if it is possible."""
if node in self.potential_iterator:
matched_path = self.find_matching_builtin(node)
if matched_path is None:
return self.generic_visit(node)
# Special handling for map which can't be turn to imap with None as
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# if a dtype conversion is implied
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return self.generic_visit(node)
path = EQUIVALENT_ITERATORS[matched_path]
if path:
node.func = path_to_attr(path)
self.use_itertools |= path[0] == 'itertools'
else:
node = node.args[0]
self.update = True
return self.generic_visit(node) | python | def visit_Call(self, node):
if node in self.potential_iterator:
matched_path = self.find_matching_builtin(node)
if matched_path is None:
return self.generic_visit(node)
# Special handling for map which can't be turn to imap with None as
# a parameter as map(None, [1, 2]) == [1, 2] while
# list(imap(None, [1, 2])) == [(1,), (2,)]
if (matched_path[1] == "map" and
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# if a dtype conversion is implied
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return self.generic_visit(node)
path = EQUIVALENT_ITERATORS[matched_path]
if path:
node.func = path_to_attr(path)
self.use_itertools |= path[0] == 'itertools'
else:
node = node.args[0]
self.update = True
return self.generic_visit(node) | [
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251,621 | serge-sans-paille/pythran | docs/papers/iop2014/xp/numba/hyantes.py | run | def run(xmin, ymin, xmax, ymax, step, range_, range_x, range_y, t):
X,Y = t.shape
pt = np.zeros((X,Y))
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for i in range(X):
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if tmp < range_:
pt[i][j]+=k[2] / (1+tmp)
return pt | python | def run(xmin, ymin, xmax, ymax, step, range_, range_x, range_y, t):
X,Y = t.shape
pt = np.zeros((X,Y))
"omp parallel for"
for i in range(X):
for j in range(Y):
for k in t:
tmp = 6368.* np.arccos( np.cos(xmin+step*i)*np.cos( k[0] ) * np.cos((ymin+step*j)-k[1])+ np.sin(xmin+step*i)*np.sin(k[0]))
if tmp < range_:
pt[i][j]+=k[2] / (1+tmp)
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251,622 | serge-sans-paille/pythran | pythran/interval.py | max_values | def max_values(args):
""" Return possible range for max function. """
return Interval(max(x.low for x in args), max(x.high for x in args)) | python | def max_values(args):
return Interval(max(x.low for x in args), max(x.high for x in args)) | [
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251,623 | serge-sans-paille/pythran | pythran/interval.py | min_values | def min_values(args):
""" Return possible range for min function. """
return Interval(min(x.low for x in args), min(x.high for x in args)) | python | def min_values(args):
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251,624 | serge-sans-paille/pythran | pythran/interval.py | Interval.union | def union(self, other):
""" Intersect current range with other."""
return Interval(min(self.low, other.low), max(self.high, other.high)) | python | def union(self, other):
return Interval(min(self.low, other.low), max(self.high, other.high)) | [
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251,625 | serge-sans-paille/pythran | pythran/interval.py | Interval.widen | def widen(self, other):
""" Widen current range. """
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low = -float("inf")
else:
low = self.low
if self.high > other.high:
high = float("inf")
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low = -float("inf")
else:
low = self.low
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251,626 | serge-sans-paille/pythran | pythran/transformations/remove_named_arguments.py | RemoveNamedArguments.handle_keywords | def handle_keywords(self, func, node, offset=0):
'''
Gather keywords to positional argument information
Assumes the named parameter exist, raises a KeyError otherwise
'''
func_argument_names = {}
for i, arg in enumerate(func.args.args[offset:]):
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func_argument_names[arg.id] = i
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for index, arg in enumerate(node.args):
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replacements[index] = deepcopy(keywords[index])
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replacements[index] = deepcopy(defaults[index - nargs])
return replacements | python | def handle_keywords(self, func, node, offset=0):
'''
Gather keywords to positional argument information
Assumes the named parameter exist, raises a KeyError otherwise
'''
func_argument_names = {}
for i, arg in enumerate(func.args.args[offset:]):
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func_argument_names[arg.id] = i
nargs = len(func.args.args) - offset
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keywords = {func_argument_names[kw.arg]: kw.value
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node.args.extend([None] * (1 + max(keywords.keys()) - len(node.args)))
replacements = {}
for index, arg in enumerate(node.args):
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return replacements | [
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251,627 | serge-sans-paille/pythran | pythran/tables.py | update_effects | def update_effects(self, node):
"""
Combiner when we update the first argument of a function.
It turn type of first parameter in combination of all others
parameters types.
"""
return [self.combine(node.args[0], node_args_k, register=True,
aliasing_type=True)
for node_args_k in node.args[1:]] | python | def update_effects(self, node):
return [self.combine(node.args[0], node_args_k, register=True,
aliasing_type=True)
for node_args_k in node.args[1:]] | [
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251,628 | serge-sans-paille/pythran | pythran/tables.py | save_method | def save_method(elements, module_path):
""" Recursively save methods with module name and signature. """
for elem, signature in elements.items():
if isinstance(signature, dict): # Submodule case
save_method(signature, module_path + (elem,))
elif isinstance(signature, Class):
save_method(signature.fields, module_path + (elem,))
elif signature.ismethod():
# in case of duplicates, there must be a __dispatch__ record
# and it is the only recorded one
if elem in methods and module_path[0] != '__dispatch__':
assert elem in MODULES['__dispatch__']
path = ('__dispatch__',)
methods[elem] = (path, MODULES['__dispatch__'][elem])
else:
methods[elem] = (module_path, signature) | python | def save_method(elements, module_path):
for elem, signature in elements.items():
if isinstance(signature, dict): # Submodule case
save_method(signature, module_path + (elem,))
elif isinstance(signature, Class):
save_method(signature.fields, module_path + (elem,))
elif signature.ismethod():
# in case of duplicates, there must be a __dispatch__ record
# and it is the only recorded one
if elem in methods and module_path[0] != '__dispatch__':
assert elem in MODULES['__dispatch__']
path = ('__dispatch__',)
methods[elem] = (path, MODULES['__dispatch__'][elem])
else:
methods[elem] = (module_path, signature) | [
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251,629 | serge-sans-paille/pythran | pythran/tables.py | save_function | def save_function(elements, module_path):
""" Recursively save functions with module name and signature. """
for elem, signature in elements.items():
if isinstance(signature, dict): # Submodule case
save_function(signature, module_path + (elem,))
elif signature.isstaticfunction():
functions.setdefault(elem, []).append((module_path, signature,))
elif isinstance(signature, Class):
save_function(signature.fields, module_path + (elem,)) | python | def save_function(elements, module_path):
for elem, signature in elements.items():
if isinstance(signature, dict): # Submodule case
save_function(signature, module_path + (elem,))
elif signature.isstaticfunction():
functions.setdefault(elem, []).append((module_path, signature,))
elif isinstance(signature, Class):
save_function(signature.fields, module_path + (elem,)) | [
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251,630 | serge-sans-paille/pythran | pythran/tables.py | save_attribute | def save_attribute(elements, module_path):
""" Recursively save attributes with module name and signature. """
for elem, signature in elements.items():
if isinstance(signature, dict): # Submodule case
save_attribute(signature, module_path + (elem,))
elif signature.isattribute():
assert elem not in attributes # we need unicity
attributes[elem] = (module_path, signature,)
elif isinstance(signature, Class):
save_attribute(signature.fields, module_path + (elem,)) | python | def save_attribute(elements, module_path):
for elem, signature in elements.items():
if isinstance(signature, dict): # Submodule case
save_attribute(signature, module_path + (elem,))
elif signature.isattribute():
assert elem not in attributes # we need unicity
attributes[elem] = (module_path, signature,)
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251,631 | serge-sans-paille/pythran | pythran/optimizations/list_to_tuple.py | ListToTuple.visit_Assign | def visit_Assign(self, node):
"""
Replace list calls by static_list calls when possible
>>> import gast as ast
>>> from pythran import passmanager, backend
>>> node = ast.parse("def foo(n): x = __builtin__.list(n); x[0] = 0; return __builtin__.tuple(x)")
>>> pm = passmanager.PassManager("test")
>>> _, node = pm.apply(ListToTuple, node)
>>> print(pm.dump(backend.Python, node))
def foo(n):
x = __builtin__.pythran.static_list(n)
x[0] = 0
return __builtin__.tuple(x)
>>> node = ast.parse("def foo(n): x = __builtin__.list(n); x[0] = 0; return x")
>>> pm = passmanager.PassManager("test")
>>> _, node = pm.apply(ListToTuple, node)
>>> print(pm.dump(backend.Python, node))
def foo(n):
x = __builtin__.list(n)
x[0] = 0
return x
"""
self.generic_visit(node)
if node.value not in self.fixed_size_list:
return node
node.value = self.convert(node.value)
return node | python | def visit_Assign(self, node):
self.generic_visit(node)
if node.value not in self.fixed_size_list:
return node
node.value = self.convert(node.value)
return node | [
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>>> from pythran import passmanager, backend
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>>> pm = passmanager.PassManager("test")
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>>> _, node = pm.apply(ListToTuple, node)
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251,632 | serge-sans-paille/pythran | setup.py | BuildWithThirdParty.copy_pkg | def copy_pkg(self, pkg, src_only=False):
"Install boost deps from the third_party directory"
if getattr(self, 'no_' + pkg) is None:
print('Copying boost dependencies')
to_copy = pkg,
else:
return
src = os.path.join('third_party', *to_copy)
# copy to the build tree
if not src_only:
target = os.path.join(self.build_lib, 'pythran', *to_copy)
shutil.rmtree(target, True)
shutil.copytree(src, target)
# copy them to the source tree too, needed for sdist
target = os.path.join('pythran', *to_copy)
shutil.rmtree(target, True)
shutil.copytree(src, target) | python | def copy_pkg(self, pkg, src_only=False):
"Install boost deps from the third_party directory"
if getattr(self, 'no_' + pkg) is None:
print('Copying boost dependencies')
to_copy = pkg,
else:
return
src = os.path.join('third_party', *to_copy)
# copy to the build tree
if not src_only:
target = os.path.join(self.build_lib, 'pythran', *to_copy)
shutil.rmtree(target, True)
shutil.copytree(src, target)
# copy them to the source tree too, needed for sdist
target = os.path.join('pythran', *to_copy)
shutil.rmtree(target, True)
shutil.copytree(src, target) | [
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251,633 | serge-sans-paille/pythran | pythran/analyses/ast_matcher.py | Check.check_list | def check_list(self, node_list, pattern_list):
""" Check if list of node are equal. """
if len(node_list) != len(pattern_list):
return False
else:
return all(Check(node_elt,
self.placeholders).visit(pattern_list[i])
for i, node_elt in enumerate(node_list)) | python | def check_list(self, node_list, pattern_list):
if len(node_list) != len(pattern_list):
return False
else:
return all(Check(node_elt,
self.placeholders).visit(pattern_list[i])
for i, node_elt in enumerate(node_list)) | [
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251,634 | serge-sans-paille/pythran | pythran/analyses/ast_matcher.py | Check.visit_Placeholder | def visit_Placeholder(self, pattern):
"""
Save matching node or compare it with the existing one.
FIXME : What if the new placeholder is a better choice?
"""
if (pattern.id in self.placeholders and
not Check(self.node, self.placeholders).visit(
self.placeholders[pattern.id])):
return False
else:
self.placeholders[pattern.id] = self.node
return True | python | def visit_Placeholder(self, pattern):
if (pattern.id in self.placeholders and
not Check(self.node, self.placeholders).visit(
self.placeholders[pattern.id])):
return False
else:
self.placeholders[pattern.id] = self.node
return True | [
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251,635 | serge-sans-paille/pythran | pythran/analyses/ast_matcher.py | Check.visit_AST_or | def visit_AST_or(self, pattern):
""" Match if any of the or content match with the other node. """
return any(self.field_match(self.node, value_or)
for value_or in pattern.args) | python | def visit_AST_or(self, pattern):
return any(self.field_match(self.node, value_or)
for value_or in pattern.args) | [
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251,636 | serge-sans-paille/pythran | pythran/analyses/ast_matcher.py | Check.visit_Set | def visit_Set(self, pattern):
""" Set have unordered values. """
if len(pattern.elts) > MAX_UNORDERED_LENGTH:
raise DamnTooLongPattern("Pattern for Set is too long")
return (isinstance(self.node, Set) and
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for pattern_elts in permutations(pattern.elts))) | python | def visit_Set(self, pattern):
if len(pattern.elts) > MAX_UNORDERED_LENGTH:
raise DamnTooLongPattern("Pattern for Set is too long")
return (isinstance(self.node, Set) and
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251,637 | serge-sans-paille/pythran | pythran/analyses/ast_matcher.py | Check.visit_Dict | def visit_Dict(self, pattern):
""" Dict can match with unordered values. """
if not isinstance(self.node, Dict):
return False
if len(pattern.keys) > MAX_UNORDERED_LENGTH:
raise DamnTooLongPattern("Pattern for Dict is too long")
for permutation in permutations(range(len(self.node.keys))):
for i, value in enumerate(permutation):
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pattern.keys[value]):
break
else:
pattern_values = [pattern.values[i] for i in permutation]
return self.check_list(self.node.values, pattern_values)
return False | python | def visit_Dict(self, pattern):
if not isinstance(self.node, Dict):
return False
if len(pattern.keys) > MAX_UNORDERED_LENGTH:
raise DamnTooLongPattern("Pattern for Dict is too long")
for permutation in permutations(range(len(self.node.keys))):
for i, value in enumerate(permutation):
if not self.field_match(self.node.keys[i],
pattern.keys[value]):
break
else:
pattern_values = [pattern.values[i] for i in permutation]
return self.check_list(self.node.values, pattern_values)
return False | [
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251,638 | serge-sans-paille/pythran | pythran/analyses/ast_matcher.py | Check.field_match | def field_match(self, node_field, pattern_field):
"""
Check if two fields match.
Field match if:
- If it is a list, all values have to match.
- If if is a node, recursively check it.
- Otherwise, check values are equal.
"""
is_good_list = (isinstance(pattern_field, list) and
self.check_list(node_field, pattern_field))
is_good_node = (isinstance(pattern_field, AST) and
Check(node_field,
self.placeholders).visit(pattern_field))
def strict_eq(f0, f1):
try:
return f0 == f1 or (isnan(f0) and isnan(f1))
except TypeError:
return f0 == f1
is_same = strict_eq(pattern_field, node_field)
return is_good_list or is_good_node or is_same | python | def field_match(self, node_field, pattern_field):
is_good_list = (isinstance(pattern_field, list) and
self.check_list(node_field, pattern_field))
is_good_node = (isinstance(pattern_field, AST) and
Check(node_field,
self.placeholders).visit(pattern_field))
def strict_eq(f0, f1):
try:
return f0 == f1 or (isnan(f0) and isnan(f1))
except TypeError:
return f0 == f1
is_same = strict_eq(pattern_field, node_field)
return is_good_list or is_good_node or is_same | [
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251,639 | serge-sans-paille/pythran | pythran/analyses/ast_matcher.py | Check.generic_visit | def generic_visit(self, pattern):
"""
Check if the pattern match with the checked node.
a node match if:
- type match
- all field match
"""
return (isinstance(pattern, type(self.node)) and
all(self.field_match(value, getattr(pattern, field))
for field, value in iter_fields(self.node))) | python | def generic_visit(self, pattern):
return (isinstance(pattern, type(self.node)) and
all(self.field_match(value, getattr(pattern, field))
for field, value in iter_fields(self.node))) | [
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251,640 | serge-sans-paille/pythran | pythran/analyses/ast_matcher.py | ASTMatcher.visit | def visit(self, node):
"""
Visitor looking for matching between current node and pattern.
If it match, save it but whatever happen, keep going.
"""
if Check(node, dict()).visit(self.pattern):
self.result.add(node)
self.generic_visit(node) | python | def visit(self, node):
if Check(node, dict()).visit(self.pattern):
self.result.add(node)
self.generic_visit(node) | [
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251,641 | serge-sans-paille/pythran | pythran/analyses/lazyness_analysis.py | LazynessAnalysis.visit_Call | def visit_Call(self, node):
"""
Compute use of variables in a function call.
Each arg is use once and function name too.
Information about modified arguments is forwarded to
func_args_lazyness.
"""
md.visit(self, node)
for arg in node.args:
self.visit(arg)
self.func_args_lazyness(node.func, node.args, node)
self.visit(node.func) | python | def visit_Call(self, node):
md.visit(self, node)
for arg in node.args:
self.visit(arg)
self.func_args_lazyness(node.func, node.args, node)
self.visit(node.func) | [
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251,642 | serge-sans-paille/pythran | docs/papers/iop2014/xp/numba/nqueens.py | n_queens | def n_queens(queen_count):
"""N-Queens solver.
Args:
queen_count: the number of queens to solve for. This is also the
board size.
Yields:
Solutions to the problem. Each yielded value is looks like
(3, 8, 2, 1, 4, ..., 6) where each number is the column position for the
queen, and the index into the tuple indicates the row.
"""
out =list()
cols = range(queen_count)
#for vec in permutations(cols):
for vec in permutations(cols,None):
if (queen_count == len(set(vec[i]+i for i in cols))
== len(set(vec[i]-i for i in cols))):
#yield vec
out.append(vec)
return out | python | def n_queens(queen_count):
out =list()
cols = range(queen_count)
#for vec in permutations(cols):
for vec in permutations(cols,None):
if (queen_count == len(set(vec[i]+i for i in cols))
== len(set(vec[i]-i for i in cols))):
#yield vec
out.append(vec)
return out | [
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251,643 | serge-sans-paille/pythran | pythran/optimizations/inlining.py | Inlining.visit_Stmt | def visit_Stmt(self, node):
""" Add new variable definition before the Statement. """
save_defs, self.defs = self.defs or list(), list()
self.generic_visit(node)
new_defs, self.defs = self.defs, save_defs
return new_defs + [node] | python | def visit_Stmt(self, node):
save_defs, self.defs = self.defs or list(), list()
self.generic_visit(node)
new_defs, self.defs = self.defs, save_defs
return new_defs + [node] | [
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251,644 | serge-sans-paille/pythran | pythran/optimizations/inlining.py | Inlining.visit_Call | def visit_Call(self, node):
"""
Replace function call by inlined function's body.
We can inline if it aliases on only one function.
"""
func_aliases = self.aliases[node.func]
if len(func_aliases) == 1:
function_def = next(iter(func_aliases))
if (isinstance(function_def, ast.FunctionDef) and
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self.update = True
to_inline = copy.deepcopy(self.inlinable[function_def.name])
arg_to_value = dict()
values = node.args
values += to_inline.args.defaults[len(node.args) -
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for arg_fun, arg_call in zip(to_inline.args.args, values):
v_name = "__pythran_inline{}{}{}".format(function_def.name,
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self.call_count)
new_var = ast.Name(id=v_name,
ctx=ast.Store(),
annotation=None)
self.defs.append(ast.Assign(targets=[new_var],
value=arg_call))
arg_to_value[arg_fun.id] = ast.Name(id=v_name,
ctx=ast.Load(),
annotation=None)
self.call_count += 1
return Inliner(arg_to_value).visit(to_inline.body[0])
return node | python | def visit_Call(self, node):
func_aliases = self.aliases[node.func]
if len(func_aliases) == 1:
function_def = next(iter(func_aliases))
if (isinstance(function_def, ast.FunctionDef) and
function_def.name in self.inlinable):
self.update = True
to_inline = copy.deepcopy(self.inlinable[function_def.name])
arg_to_value = dict()
values = node.args
values += to_inline.args.defaults[len(node.args) -
len(to_inline.args.args):]
for arg_fun, arg_call in zip(to_inline.args.args, values):
v_name = "__pythran_inline{}{}{}".format(function_def.name,
arg_fun.id,
self.call_count)
new_var = ast.Name(id=v_name,
ctx=ast.Store(),
annotation=None)
self.defs.append(ast.Assign(targets=[new_var],
value=arg_call))
arg_to_value[arg_fun.id] = ast.Name(id=v_name,
ctx=ast.Load(),
annotation=None)
self.call_count += 1
return Inliner(arg_to_value).visit(to_inline.body[0])
return node | [
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] | 7e1b5af2dddfabc50bd2a977f0178be269b349b5 | https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/optimizations/inlining.py#L62-L93 |
251,645 | serge-sans-paille/pythran | pythran/conversion.py | size_container_folding | def size_container_folding(value):
"""
Convert value to ast expression if size is not too big.
Converter for sized container.
"""
if len(value) < MAX_LEN:
if isinstance(value, list):
return ast.List([to_ast(elt) for elt in value], ast.Load())
elif isinstance(value, tuple):
return ast.Tuple([to_ast(elt) for elt in value], ast.Load())
elif isinstance(value, set):
return ast.Set([to_ast(elt) for elt in value])
elif isinstance(value, dict):
keys = [to_ast(elt) for elt in value.keys()]
values = [to_ast(elt) for elt in value.values()]
return ast.Dict(keys, values)
elif isinstance(value, np.ndarray):
return ast.Call(func=ast.Attribute(
ast.Name(mangle('numpy'), ast.Load(), None),
'array',
ast.Load()),
args=[to_ast(totuple(value.tolist())),
ast.Attribute(
ast.Name(mangle('numpy'), ast.Load(), None),
value.dtype.name,
ast.Load())],
keywords=[])
else:
raise ConversionError()
else:
raise ToNotEval() | python | def size_container_folding(value):
if len(value) < MAX_LEN:
if isinstance(value, list):
return ast.List([to_ast(elt) for elt in value], ast.Load())
elif isinstance(value, tuple):
return ast.Tuple([to_ast(elt) for elt in value], ast.Load())
elif isinstance(value, set):
return ast.Set([to_ast(elt) for elt in value])
elif isinstance(value, dict):
keys = [to_ast(elt) for elt in value.keys()]
values = [to_ast(elt) for elt in value.values()]
return ast.Dict(keys, values)
elif isinstance(value, np.ndarray):
return ast.Call(func=ast.Attribute(
ast.Name(mangle('numpy'), ast.Load(), None),
'array',
ast.Load()),
args=[to_ast(totuple(value.tolist())),
ast.Attribute(
ast.Name(mangle('numpy'), ast.Load(), None),
value.dtype.name,
ast.Load())],
keywords=[])
else:
raise ConversionError()
else:
raise ToNotEval() | [
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251,646 | serge-sans-paille/pythran | pythran/conversion.py | builtin_folding | def builtin_folding(value):
""" Convert builtin function to ast expression. """
if isinstance(value, (type(None), bool)):
name = str(value)
elif value.__name__ in ("bool", "float", "int"):
name = value.__name__ + "_"
else:
name = value.__name__
return ast.Attribute(ast.Name('__builtin__', ast.Load(), None),
name, ast.Load()) | python | def builtin_folding(value):
if isinstance(value, (type(None), bool)):
name = str(value)
elif value.__name__ in ("bool", "float", "int"):
name = value.__name__ + "_"
else:
name = value.__name__
return ast.Attribute(ast.Name('__builtin__', ast.Load(), None),
name, ast.Load()) | [
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251,647 | serge-sans-paille/pythran | pythran/conversion.py | to_ast | def to_ast(value):
"""
Turn a value into ast expression.
>>> a = 1
>>> print(ast.dump(to_ast(a)))
Num(n=1)
>>> a = [1, 2, 3]
>>> print(ast.dump(to_ast(a)))
List(elts=[Num(n=1), Num(n=2), Num(n=3)], ctx=Load())
"""
if isinstance(value, (type(None), bool)):
return builtin_folding(value)
if sys.version_info[0] == 2 and isinstance(value, long):
from pythran.syntax import PythranSyntaxError
raise PythranSyntaxError("constant folding results in big int")
if any(value is t for t in (bool, int, float)):
iinfo = np.iinfo(int)
if isinstance(value, int) and not (iinfo.min <= value <= iinfo.max):
from pythran.syntax import PythranSyntaxError
raise PythranSyntaxError("constant folding results in big int")
return builtin_folding(value)
elif isinstance(value, np.generic):
return to_ast(np.asscalar(value))
elif isinstance(value, numbers.Number):
return ast.Num(value)
elif isinstance(value, str):
return ast.Str(value)
elif isinstance(value, (list, tuple, set, dict, np.ndarray)):
return size_container_folding(value)
elif hasattr(value, "__module__") and value.__module__ == "__builtin__":
# TODO Can be done the same way for others modules
return builtin_folding(value)
# only meaningful for python3
elif sys.version_info.major == 3:
if isinstance(value, (filter, map, zip)):
return to_ast(list(value))
raise ToNotEval() | python | def to_ast(value):
if isinstance(value, (type(None), bool)):
return builtin_folding(value)
if sys.version_info[0] == 2 and isinstance(value, long):
from pythran.syntax import PythranSyntaxError
raise PythranSyntaxError("constant folding results in big int")
if any(value is t for t in (bool, int, float)):
iinfo = np.iinfo(int)
if isinstance(value, int) and not (iinfo.min <= value <= iinfo.max):
from pythran.syntax import PythranSyntaxError
raise PythranSyntaxError("constant folding results in big int")
return builtin_folding(value)
elif isinstance(value, np.generic):
return to_ast(np.asscalar(value))
elif isinstance(value, numbers.Number):
return ast.Num(value)
elif isinstance(value, str):
return ast.Str(value)
elif isinstance(value, (list, tuple, set, dict, np.ndarray)):
return size_container_folding(value)
elif hasattr(value, "__module__") and value.__module__ == "__builtin__":
# TODO Can be done the same way for others modules
return builtin_folding(value)
# only meaningful for python3
elif sys.version_info.major == 3:
if isinstance(value, (filter, map, zip)):
return to_ast(list(value))
raise ToNotEval() | [
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>>> a = 1
>>> print(ast.dump(to_ast(a)))
Num(n=1)
>>> a = [1, 2, 3]
>>> print(ast.dump(to_ast(a)))
List(elts=[Num(n=1), Num(n=2), Num(n=3)], ctx=Load()) | [
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251,648 | serge-sans-paille/pythran | pythran/analyses/global_declarations.py | GlobalDeclarations.visit_Module | def visit_Module(self, node):
""" Import module define a new variable name. """
duc = SilentDefUseChains()
duc.visit(node)
for d in duc.locals[node]:
self.result[d.name()] = d.node | python | def visit_Module(self, node):
duc = SilentDefUseChains()
duc.visit(node)
for d in duc.locals[node]:
self.result[d.name()] = d.node | [
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251,649 | serge-sans-paille/pythran | pythran/utils.py | attr_to_path | def attr_to_path(node):
""" Compute path and final object for an attribute node """
def get_intrinsic_path(modules, attr):
""" Get function path and intrinsic from an ast.Attribute. """
if isinstance(attr, ast.Name):
return modules[demangle(attr.id)], (demangle(attr.id),)
elif isinstance(attr, ast.Attribute):
module, path = get_intrinsic_path(modules, attr.value)
return module[attr.attr], path + (attr.attr,)
obj, path = get_intrinsic_path(MODULES, node)
if not obj.isliteral():
path = path[:-1] + ('functor', path[-1])
return obj, ('pythonic', ) + path | python | def attr_to_path(node):
def get_intrinsic_path(modules, attr):
""" Get function path and intrinsic from an ast.Attribute. """
if isinstance(attr, ast.Name):
return modules[demangle(attr.id)], (demangle(attr.id),)
elif isinstance(attr, ast.Attribute):
module, path = get_intrinsic_path(modules, attr.value)
return module[attr.attr], path + (attr.attr,)
obj, path = get_intrinsic_path(MODULES, node)
if not obj.isliteral():
path = path[:-1] + ('functor', path[-1])
return obj, ('pythonic', ) + path | [
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251,650 | serge-sans-paille/pythran | pythran/utils.py | path_to_attr | def path_to_attr(path):
"""
Transform path to ast.Attribute.
>>> import gast as ast
>>> path = ('__builtin__', 'my', 'constant')
>>> value = path_to_attr(path)
>>> ref = ast.Attribute(
... value=ast.Attribute(value=ast.Name(id="__builtin__",
... ctx=ast.Load(),
... annotation=None),
... attr="my", ctx=ast.Load()),
... attr="constant", ctx=ast.Load())
>>> ast.dump(ref) == ast.dump(value)
True
"""
return reduce(lambda hpath, last: ast.Attribute(hpath, last, ast.Load()),
path[1:], ast.Name(mangle(path[0]), ast.Load(), None)) | python | def path_to_attr(path):
return reduce(lambda hpath, last: ast.Attribute(hpath, last, ast.Load()),
path[1:], ast.Name(mangle(path[0]), ast.Load(), None)) | [
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251,651 | serge-sans-paille/pythran | pythran/utils.py | get_variable | def get_variable(assignable):
"""
Return modified variable name.
>>> import gast as ast
>>> ref = ast.Subscript(
... value=ast.Subscript(
... value=ast.Name(id='a', ctx=ast.Load(), annotation=None),
... slice=ast.Index(value=ast.Name('i', ast.Load(), None)),
... ctx=ast.Load()),
... slice=ast.Index(value=ast.Name(id='j',
... ctx=ast.Load(), annotation=None)),
... ctx=ast.Load())
>>> ast.dump(get_variable(ref))
"Name(id='a', ctx=Load(), annotation=None)"
"""
msg = "Only name and subscript can be assigned."
assert isinstance(assignable, (ast.Name, ast.Subscript)), msg
while isinstance(assignable, ast.Subscript) or isattr(assignable):
if isattr(assignable):
assignable = assignable.args[0]
else:
assignable = assignable.value
return assignable | python | def get_variable(assignable):
msg = "Only name and subscript can be assigned."
assert isinstance(assignable, (ast.Name, ast.Subscript)), msg
while isinstance(assignable, ast.Subscript) or isattr(assignable):
if isattr(assignable):
assignable = assignable.args[0]
else:
assignable = assignable.value
return assignable | [
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... slice=ast.Index(value=ast.Name('i', ast.Load(), None)),
... ctx=ast.Load()),
... slice=ast.Index(value=ast.Name(id='j',
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... ctx=ast.Load())
>>> ast.dump(get_variable(ref))
"Name(id='a', ctx=Load(), annotation=None)" | [
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251,652 | serge-sans-paille/pythran | pythran/types/reorder.py | Reorder.prepare | def prepare(self, node):
""" Format type dependencies information to use if for reordering. """
super(Reorder, self).prepare(node)
candidates = self.type_dependencies.successors(
TypeDependencies.NoDeps)
# We first select function which may have a result without calling any
# others functions.
# Then we check if no loops type dependencies exists. If it exists, we
# can safely remove the dependency as it could be compute without this
# information.
# As we can compute type for this function, successors can potentially
# be computed
# FIXME: This is false in some cases
#
# def bar(i):
# if i > 0:
# return foo(i)
# else:
# return []
#
# def foo(i):
# return [len(bar(i-1)) + len(bar(i - 2))]
#
# If we check for function without deps first, we will pick bar and say
# it returns empty list
while candidates:
new_candidates = list()
for n in candidates:
# remove edges that imply a circular dependency
for p in list(self.type_dependencies.predecessors(n)):
if nx.has_path(self.type_dependencies, n, p):
self.type_dependencies.remove_edge(p, n)
if n not in self.type_dependencies.successors(n):
new_candidates.extend(self.type_dependencies.successors(n))
candidates = new_candidates | python | def prepare(self, node):
super(Reorder, self).prepare(node)
candidates = self.type_dependencies.successors(
TypeDependencies.NoDeps)
# We first select function which may have a result without calling any
# others functions.
# Then we check if no loops type dependencies exists. If it exists, we
# can safely remove the dependency as it could be compute without this
# information.
# As we can compute type for this function, successors can potentially
# be computed
# FIXME: This is false in some cases
#
# def bar(i):
# if i > 0:
# return foo(i)
# else:
# return []
#
# def foo(i):
# return [len(bar(i-1)) + len(bar(i - 2))]
#
# If we check for function without deps first, we will pick bar and say
# it returns empty list
while candidates:
new_candidates = list()
for n in candidates:
# remove edges that imply a circular dependency
for p in list(self.type_dependencies.predecessors(n)):
if nx.has_path(self.type_dependencies, n, p):
self.type_dependencies.remove_edge(p, n)
if n not in self.type_dependencies.successors(n):
new_candidates.extend(self.type_dependencies.successors(n))
candidates = new_candidates | [
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251,653 | serge-sans-paille/pythran | pythran/types/reorder.py | Reorder.visit_Module | def visit_Module(self, node):
"""
Keep everything but function definition then add sorted functions.
Most of the time, many function sort work so we use function calldepth
as a "sort hint" to simplify typing.
"""
newbody = list()
olddef = list()
for stmt in node.body:
if isinstance(stmt, ast.FunctionDef):
olddef.append(stmt)
else:
newbody.append(stmt)
try:
newdef = topological_sort(
self.type_dependencies,
self.ordered_global_declarations)
newdef = [f for f in newdef if isinstance(f, ast.FunctionDef)]
except nx.exception.NetworkXUnfeasible:
raise PythranSyntaxError("Infinite function recursion")
assert set(newdef) == set(olddef), "A function have been lost..."
node.body = newbody + newdef
self.update = True
return node | python | def visit_Module(self, node):
newbody = list()
olddef = list()
for stmt in node.body:
if isinstance(stmt, ast.FunctionDef):
olddef.append(stmt)
else:
newbody.append(stmt)
try:
newdef = topological_sort(
self.type_dependencies,
self.ordered_global_declarations)
newdef = [f for f in newdef if isinstance(f, ast.FunctionDef)]
except nx.exception.NetworkXUnfeasible:
raise PythranSyntaxError("Infinite function recursion")
assert set(newdef) == set(olddef), "A function have been lost..."
node.body = newbody + newdef
self.update = True
return node | [
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251,654 | serge-sans-paille/pythran | pythran/optimizations/dead_code_elimination.py | DeadCodeElimination.visit | def visit(self, node):
""" Add OMPDirective from the old node to the new one. """
old_omp = metadata.get(node, OMPDirective)
node = super(DeadCodeElimination, self).visit(node)
if not metadata.get(node, OMPDirective):
for omp_directive in old_omp:
metadata.add(node, omp_directive)
return node | python | def visit(self, node):
old_omp = metadata.get(node, OMPDirective)
node = super(DeadCodeElimination, self).visit(node)
if not metadata.get(node, OMPDirective):
for omp_directive in old_omp:
metadata.add(node, omp_directive)
return node | [
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251,655 | serge-sans-paille/pythran | pythran/analyses/aliases.py | save_intrinsic_alias | def save_intrinsic_alias(module):
""" Recursively save default aliases for pythonic functions. """
for v in module.values():
if isinstance(v, dict): # Submodules case
save_intrinsic_alias(v)
else:
IntrinsicAliases[v] = frozenset((v,))
if isinstance(v, Class):
save_intrinsic_alias(v.fields) | python | def save_intrinsic_alias(module):
for v in module.values():
if isinstance(v, dict): # Submodules case
save_intrinsic_alias(v)
else:
IntrinsicAliases[v] = frozenset((v,))
if isinstance(v, Class):
save_intrinsic_alias(v.fields) | [
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251,656 | serge-sans-paille/pythran | pythran/analyses/aliases.py | Aliases.visit_IfExp | def visit_IfExp(self, node):
'''
Resulting node alias to either branch
>>> from pythran import passmanager
>>> pm = passmanager.PassManager('demo')
>>> module = ast.parse('def foo(a, b, c): return a if c else b')
>>> result = pm.gather(Aliases, module)
>>> Aliases.dump(result, filter=ast.IfExp)
(a if c else b) => ['a', 'b']
'''
self.visit(node.test)
rec = [self.visit(n) for n in (node.body, node.orelse)]
return self.add(node, set.union(*rec)) | python | def visit_IfExp(self, node):
'''
Resulting node alias to either branch
>>> from pythran import passmanager
>>> pm = passmanager.PassManager('demo')
>>> module = ast.parse('def foo(a, b, c): return a if c else b')
>>> result = pm.gather(Aliases, module)
>>> Aliases.dump(result, filter=ast.IfExp)
(a if c else b) => ['a', 'b']
'''
self.visit(node.test)
rec = [self.visit(n) for n in (node.body, node.orelse)]
return self.add(node, set.union(*rec)) | [
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>>> from pythran import passmanager
>>> pm = passmanager.PassManager('demo')
>>> module = ast.parse('def foo(a, b, c): return a if c else b')
>>> result = pm.gather(Aliases, module)
>>> Aliases.dump(result, filter=ast.IfExp)
(a if c else b) => ['a', 'b'] | [
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251,657 | serge-sans-paille/pythran | pythran/analyses/aliases.py | Aliases.visit_Dict | def visit_Dict(self, node):
'''
A dict is abstracted as an unordered container of its values
>>> from pythran import passmanager
>>> pm = passmanager.PassManager('demo')
>>> module = ast.parse('def foo(a, b): return {0: a, 1: b}')
>>> result = pm.gather(Aliases, module)
>>> Aliases.dump(result, filter=ast.Dict)
{0: a, 1: b} => ['|a|', '|b|']
where the |id| notation means something that may contain ``id``.
'''
if node.keys:
elts_aliases = set()
for key, val in zip(node.keys, node.values):
self.visit(key) # res ignored, just to fill self.aliases
elt_aliases = self.visit(val)
elts_aliases.update(map(ContainerOf, elt_aliases))
else:
elts_aliases = None
return self.add(node, elts_aliases) | python | def visit_Dict(self, node):
'''
A dict is abstracted as an unordered container of its values
>>> from pythran import passmanager
>>> pm = passmanager.PassManager('demo')
>>> module = ast.parse('def foo(a, b): return {0: a, 1: b}')
>>> result = pm.gather(Aliases, module)
>>> Aliases.dump(result, filter=ast.Dict)
{0: a, 1: b} => ['|a|', '|b|']
where the |id| notation means something that may contain ``id``.
'''
if node.keys:
elts_aliases = set()
for key, val in zip(node.keys, node.values):
self.visit(key) # res ignored, just to fill self.aliases
elt_aliases = self.visit(val)
elts_aliases.update(map(ContainerOf, elt_aliases))
else:
elts_aliases = None
return self.add(node, elts_aliases) | [
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>>> from pythran import passmanager
>>> pm = passmanager.PassManager('demo')
>>> module = ast.parse('def foo(a, b): return {0: a, 1: b}')
>>> result = pm.gather(Aliases, module)
>>> Aliases.dump(result, filter=ast.Dict)
{0: a, 1: b} => ['|a|', '|b|']
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251,658 | serge-sans-paille/pythran | pythran/analyses/aliases.py | Aliases.visit_Set | def visit_Set(self, node):
'''
A set is abstracted as an unordered container of its elements
>>> from pythran import passmanager
>>> pm = passmanager.PassManager('demo')
>>> module = ast.parse('def foo(a, b): return {a, b}')
>>> result = pm.gather(Aliases, module)
>>> Aliases.dump(result, filter=ast.Set)
{a, b} => ['|a|', '|b|']
where the |id| notation means something that may contain ``id``.
'''
if node.elts:
elts_aliases = {ContainerOf(alias)
for elt in node.elts
for alias in self.visit(elt)}
else:
elts_aliases = None
return self.add(node, elts_aliases) | python | def visit_Set(self, node):
'''
A set is abstracted as an unordered container of its elements
>>> from pythran import passmanager
>>> pm = passmanager.PassManager('demo')
>>> module = ast.parse('def foo(a, b): return {a, b}')
>>> result = pm.gather(Aliases, module)
>>> Aliases.dump(result, filter=ast.Set)
{a, b} => ['|a|', '|b|']
where the |id| notation means something that may contain ``id``.
'''
if node.elts:
elts_aliases = {ContainerOf(alias)
for elt in node.elts
for alias in self.visit(elt)}
else:
elts_aliases = None
return self.add(node, elts_aliases) | [
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>>> result = pm.gather(Aliases, module)
>>> Aliases.dump(result, filter=ast.Set)
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] | 7e1b5af2dddfabc50bd2a977f0178be269b349b5 | https://github.com/serge-sans-paille/pythran/blob/7e1b5af2dddfabc50bd2a977f0178be269b349b5/pythran/analyses/aliases.py#L202-L221 |
251,659 | serge-sans-paille/pythran | pythran/analyses/aliases.py | Aliases.visit_Return | def visit_Return(self, node):
'''
A side effect of computing aliases on a Return is that it updates the
``return_alias`` field of current function
>>> from pythran import passmanager
>>> pm = passmanager.PassManager('demo')
>>> module = ast.parse('def foo(a, b): return a')
>>> result = pm.gather(Aliases, module)
>>> module.body[0].return_alias # doctest: +ELLIPSIS
<function ...merge_return_aliases at...>
This field is a function that takes as many nodes as the function
argument count as input and returns an expression based on
these arguments if the function happens to create aliasing
between its input and output. In our case:
>>> f = module.body[0].return_alias
>>> Aliases.dump(f([ast.Name('A', ast.Load(), None), ast.Num(1)]))
['A']
This also works if the relationship between input and output
is more complex:
>>> module = ast.parse('def foo(a, b): return a or b[0]')
>>> result = pm.gather(Aliases, module)
>>> f = module.body[0].return_alias
>>> List = ast.List([ast.Name('L0', ast.Load(), None)], ast.Load())
>>> Aliases.dump(f([ast.Name('B', ast.Load(), None), List]))
['B', '[L0][0]']
Which actually means that when called with two arguments ``B`` and
the single-element list ``[L[0]]``, ``foo`` may returns either the
first argument, or the first element of the second argument.
'''
if not node.value:
return
ret_aliases = self.visit(node.value)
if Aliases.RetId in self.aliases:
ret_aliases = ret_aliases.union(self.aliases[Aliases.RetId])
self.aliases[Aliases.RetId] = ret_aliases | python | def visit_Return(self, node):
'''
A side effect of computing aliases on a Return is that it updates the
``return_alias`` field of current function
>>> from pythran import passmanager
>>> pm = passmanager.PassManager('demo')
>>> module = ast.parse('def foo(a, b): return a')
>>> result = pm.gather(Aliases, module)
>>> module.body[0].return_alias # doctest: +ELLIPSIS
<function ...merge_return_aliases at...>
This field is a function that takes as many nodes as the function
argument count as input and returns an expression based on
these arguments if the function happens to create aliasing
between its input and output. In our case:
>>> f = module.body[0].return_alias
>>> Aliases.dump(f([ast.Name('A', ast.Load(), None), ast.Num(1)]))
['A']
This also works if the relationship between input and output
is more complex:
>>> module = ast.parse('def foo(a, b): return a or b[0]')
>>> result = pm.gather(Aliases, module)
>>> f = module.body[0].return_alias
>>> List = ast.List([ast.Name('L0', ast.Load(), None)], ast.Load())
>>> Aliases.dump(f([ast.Name('B', ast.Load(), None), List]))
['B', '[L0][0]']
Which actually means that when called with two arguments ``B`` and
the single-element list ``[L[0]]``, ``foo`` may returns either the
first argument, or the first element of the second argument.
'''
if not node.value:
return
ret_aliases = self.visit(node.value)
if Aliases.RetId in self.aliases:
ret_aliases = ret_aliases.union(self.aliases[Aliases.RetId])
self.aliases[Aliases.RetId] = ret_aliases | [
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``return_alias`` field of current function
>>> from pythran import passmanager
>>> pm = passmanager.PassManager('demo')
>>> module = ast.parse('def foo(a, b): return a')
>>> result = pm.gather(Aliases, module)
>>> module.body[0].return_alias # doctest: +ELLIPSIS
<function ...merge_return_aliases at...>
This field is a function that takes as many nodes as the function
argument count as input and returns an expression based on
these arguments if the function happens to create aliasing
between its input and output. In our case:
>>> f = module.body[0].return_alias
>>> Aliases.dump(f([ast.Name('A', ast.Load(), None), ast.Num(1)]))
['A']
This also works if the relationship between input and output
is more complex:
>>> module = ast.parse('def foo(a, b): return a or b[0]')
>>> result = pm.gather(Aliases, module)
>>> f = module.body[0].return_alias
>>> List = ast.List([ast.Name('L0', ast.Load(), None)], ast.Load())
>>> Aliases.dump(f([ast.Name('B', ast.Load(), None), List]))
['B', '[L0][0]']
Which actually means that when called with two arguments ``B`` and
the single-element list ``[L[0]]``, ``foo`` may returns either the
first argument, or the first element of the second argument. | [
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251,660 | serge-sans-paille/pythran | pythran/analyses/aliases.py | Aliases.visit_Subscript | def visit_Subscript(self, node):
'''
Resulting node alias stores the subscript relationship if we don't know
anything about the subscripted node.
>>> from pythran import passmanager
>>> pm = passmanager.PassManager('demo')
>>> module = ast.parse('def foo(a): return a[0]')
>>> result = pm.gather(Aliases, module)
>>> Aliases.dump(result, filter=ast.Subscript)
a[0] => ['a[0]']
If we know something about the container, e.g. in case of a list, we
can use this information to get more accurate informations:
>>> module = ast.parse('def foo(a, b, c): return [a, b][c]')
>>> result = pm.gather(Aliases, module)
>>> Aliases.dump(result, filter=ast.Subscript)
[a, b][c] => ['a', 'b']
Moreover, in case of a tuple indexed by a constant value, we can
further refine the aliasing information:
>>> fun = """
... def f(a, b): return a, b
... def foo(a, b): return f(a, b)[0]"""
>>> module = ast.parse(fun)
>>> result = pm.gather(Aliases, module)
>>> Aliases.dump(result, filter=ast.Subscript)
f(a, b)[0] => ['a']
Nothing is done for slices, even if the indices are known :-/
>>> module = ast.parse('def foo(a, b, c): return [a, b, c][1:]')
>>> result = pm.gather(Aliases, module)
>>> Aliases.dump(result, filter=ast.Subscript)
[a, b, c][1:] => ['<unbound-value>']
'''
if isinstance(node.slice, ast.Index):
aliases = set()
self.visit(node.slice)
value_aliases = self.visit(node.value)
for alias in value_aliases:
if isinstance(alias, ContainerOf):
if isinstance(node.slice.value, ast.Slice):
continue
if isinstance(node.slice.value, ast.Num):
if node.slice.value.n != alias.index:
continue
# FIXME: what if the index is a slice variable...
aliases.add(alias.containee)
elif isinstance(getattr(alias, 'ctx', None), ast.Param):
aliases.add(ast.Subscript(alias, node.slice, node.ctx))
else:
# could be enhanced through better handling of containers
aliases = None
self.generic_visit(node)
return self.add(node, aliases) | python | def visit_Subscript(self, node):
'''
Resulting node alias stores the subscript relationship if we don't know
anything about the subscripted node.
>>> from pythran import passmanager
>>> pm = passmanager.PassManager('demo')
>>> module = ast.parse('def foo(a): return a[0]')
>>> result = pm.gather(Aliases, module)
>>> Aliases.dump(result, filter=ast.Subscript)
a[0] => ['a[0]']
If we know something about the container, e.g. in case of a list, we
can use this information to get more accurate informations:
>>> module = ast.parse('def foo(a, b, c): return [a, b][c]')
>>> result = pm.gather(Aliases, module)
>>> Aliases.dump(result, filter=ast.Subscript)
[a, b][c] => ['a', 'b']
Moreover, in case of a tuple indexed by a constant value, we can
further refine the aliasing information:
>>> fun = """
... def f(a, b): return a, b
... def foo(a, b): return f(a, b)[0]"""
>>> module = ast.parse(fun)
>>> result = pm.gather(Aliases, module)
>>> Aliases.dump(result, filter=ast.Subscript)
f(a, b)[0] => ['a']
Nothing is done for slices, even if the indices are known :-/
>>> module = ast.parse('def foo(a, b, c): return [a, b, c][1:]')
>>> result = pm.gather(Aliases, module)
>>> Aliases.dump(result, filter=ast.Subscript)
[a, b, c][1:] => ['<unbound-value>']
'''
if isinstance(node.slice, ast.Index):
aliases = set()
self.visit(node.slice)
value_aliases = self.visit(node.value)
for alias in value_aliases:
if isinstance(alias, ContainerOf):
if isinstance(node.slice.value, ast.Slice):
continue
if isinstance(node.slice.value, ast.Num):
if node.slice.value.n != alias.index:
continue
# FIXME: what if the index is a slice variable...
aliases.add(alias.containee)
elif isinstance(getattr(alias, 'ctx', None), ast.Param):
aliases.add(ast.Subscript(alias, node.slice, node.ctx))
else:
# could be enhanced through better handling of containers
aliases = None
self.generic_visit(node)
return self.add(node, aliases) | [
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anything about the subscripted node.
>>> from pythran import passmanager
>>> pm = passmanager.PassManager('demo')
>>> module = ast.parse('def foo(a): return a[0]')
>>> result = pm.gather(Aliases, module)
>>> Aliases.dump(result, filter=ast.Subscript)
a[0] => ['a[0]']
If we know something about the container, e.g. in case of a list, we
can use this information to get more accurate informations:
>>> module = ast.parse('def foo(a, b, c): return [a, b][c]')
>>> result = pm.gather(Aliases, module)
>>> Aliases.dump(result, filter=ast.Subscript)
[a, b][c] => ['a', 'b']
Moreover, in case of a tuple indexed by a constant value, we can
further refine the aliasing information:
>>> fun = """
... def f(a, b): return a, b
... def foo(a, b): return f(a, b)[0]"""
>>> module = ast.parse(fun)
>>> result = pm.gather(Aliases, module)
>>> Aliases.dump(result, filter=ast.Subscript)
f(a, b)[0] => ['a']
Nothing is done for slices, even if the indices are known :-/
>>> module = ast.parse('def foo(a, b, c): return [a, b, c][1:]')
>>> result = pm.gather(Aliases, module)
>>> Aliases.dump(result, filter=ast.Subscript)
[a, b, c][1:] => ['<unbound-value>'] | [
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251,661 | serge-sans-paille/pythran | pythran/analyses/aliases.py | Aliases.visit_Tuple | def visit_Tuple(self, node):
'''
A tuple is abstracted as an ordered container of its values
>>> from pythran import passmanager
>>> pm = passmanager.PassManager('demo')
>>> module = ast.parse('def foo(a, b): return a, b')
>>> result = pm.gather(Aliases, module)
>>> Aliases.dump(result, filter=ast.Tuple)
(a, b) => ['|[0]=a|', '|[1]=b|']
where the |[i]=id| notation means something that
may contain ``id`` at index ``i``.
'''
if node.elts:
elts_aliases = set()
for i, elt in enumerate(node.elts):
elt_aliases = self.visit(elt)
elts_aliases.update(ContainerOf(alias, i)
for alias in elt_aliases)
else:
elts_aliases = None
return self.add(node, elts_aliases) | python | def visit_Tuple(self, node):
'''
A tuple is abstracted as an ordered container of its values
>>> from pythran import passmanager
>>> pm = passmanager.PassManager('demo')
>>> module = ast.parse('def foo(a, b): return a, b')
>>> result = pm.gather(Aliases, module)
>>> Aliases.dump(result, filter=ast.Tuple)
(a, b) => ['|[0]=a|', '|[1]=b|']
where the |[i]=id| notation means something that
may contain ``id`` at index ``i``.
'''
if node.elts:
elts_aliases = set()
for i, elt in enumerate(node.elts):
elt_aliases = self.visit(elt)
elts_aliases.update(ContainerOf(alias, i)
for alias in elt_aliases)
else:
elts_aliases = None
return self.add(node, elts_aliases) | [
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>>> from pythran import passmanager
>>> pm = passmanager.PassManager('demo')
>>> module = ast.parse('def foo(a, b): return a, b')
>>> result = pm.gather(Aliases, module)
>>> Aliases.dump(result, filter=ast.Tuple)
(a, b) => ['|[0]=a|', '|[1]=b|']
where the |[i]=id| notation means something that
may contain ``id`` at index ``i``. | [
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251,662 | serge-sans-paille/pythran | pythran/analyses/aliases.py | Aliases.visit_ListComp | def visit_ListComp(self, node):
'''
A comprehension is not abstracted in any way
>>> from pythran import passmanager
>>> pm = passmanager.PassManager('demo')
>>> module = ast.parse('def foo(a, b): return [a for i in b]')
>>> result = pm.gather(Aliases, module)
>>> Aliases.dump(result, filter=ast.ListComp)
[a for i in b] => ['<unbound-value>']
'''
for generator in node.generators:
self.visit_comprehension(generator)
self.visit(node.elt)
return self.add(node) | python | def visit_ListComp(self, node):
'''
A comprehension is not abstracted in any way
>>> from pythran import passmanager
>>> pm = passmanager.PassManager('demo')
>>> module = ast.parse('def foo(a, b): return [a for i in b]')
>>> result = pm.gather(Aliases, module)
>>> Aliases.dump(result, filter=ast.ListComp)
[a for i in b] => ['<unbound-value>']
'''
for generator in node.generators:
self.visit_comprehension(generator)
self.visit(node.elt)
return self.add(node) | [
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>>> from pythran import passmanager
>>> pm = passmanager.PassManager('demo')
>>> module = ast.parse('def foo(a, b): return [a for i in b]')
>>> result = pm.gather(Aliases, module)
>>> Aliases.dump(result, filter=ast.ListComp)
[a for i in b] => ['<unbound-value>'] | [
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251,663 | serge-sans-paille/pythran | pythran/analyses/aliases.py | Aliases.visit_FunctionDef | def visit_FunctionDef(self, node):
'''
Initialise aliasing default value before visiting.
Add aliasing values for :
- Pythonic
- globals declarations
- current function arguments
'''
self.aliases = IntrinsicAliases.copy()
self.aliases.update((f.name, {f})
for f in self.global_declarations.values())
self.aliases.update((arg.id, {arg})
for arg in node.args.args)
self.generic_visit(node)
if Aliases.RetId in self.aliases:
# parametrize the expression
def parametrize(exp):
# constant(?) or global -> no change
if isinstance(exp, (ast.Index, Intrinsic, ast.FunctionDef)):
return lambda _: {exp}
elif isinstance(exp, ContainerOf):
pcontainee = parametrize(exp.containee)
index = exp.index
return lambda args: {
ContainerOf(pc, index)
for pc in pcontainee(args)
}
elif isinstance(exp, ast.Name):
try:
w = node.args.args.index(exp)
def return_alias(args):
if w < len(args):
return {args[w]}
else:
return {node.args.defaults[w - len(args)]}
return return_alias
except ValueError:
return lambda _: self.get_unbound_value_set()
elif isinstance(exp, ast.Subscript):
values = parametrize(exp.value)
slices = parametrize(exp.slice)
return lambda args: {
ast.Subscript(value, slice, ast.Load())
for value in values(args)
for slice in slices(args)}
else:
return lambda _: self.get_unbound_value_set()
# this is a little tricky: for each returned alias,
# parametrize builds a function that, given a list of args,
# returns the alias
# then as we may have multiple returned alias, we compute the union
# of these returned aliases
return_aliases = [parametrize(ret_alias)
for ret_alias
in self.aliases[Aliases.RetId]]
def merge_return_aliases(args):
merged_return_aliases = set()
for return_alias in return_aliases:
merged_return_aliases.update(return_alias(args))
return merged_return_aliases
node.return_alias = merge_return_aliases | python | def visit_FunctionDef(self, node):
'''
Initialise aliasing default value before visiting.
Add aliasing values for :
- Pythonic
- globals declarations
- current function arguments
'''
self.aliases = IntrinsicAliases.copy()
self.aliases.update((f.name, {f})
for f in self.global_declarations.values())
self.aliases.update((arg.id, {arg})
for arg in node.args.args)
self.generic_visit(node)
if Aliases.RetId in self.aliases:
# parametrize the expression
def parametrize(exp):
# constant(?) or global -> no change
if isinstance(exp, (ast.Index, Intrinsic, ast.FunctionDef)):
return lambda _: {exp}
elif isinstance(exp, ContainerOf):
pcontainee = parametrize(exp.containee)
index = exp.index
return lambda args: {
ContainerOf(pc, index)
for pc in pcontainee(args)
}
elif isinstance(exp, ast.Name):
try:
w = node.args.args.index(exp)
def return_alias(args):
if w < len(args):
return {args[w]}
else:
return {node.args.defaults[w - len(args)]}
return return_alias
except ValueError:
return lambda _: self.get_unbound_value_set()
elif isinstance(exp, ast.Subscript):
values = parametrize(exp.value)
slices = parametrize(exp.slice)
return lambda args: {
ast.Subscript(value, slice, ast.Load())
for value in values(args)
for slice in slices(args)}
else:
return lambda _: self.get_unbound_value_set()
# this is a little tricky: for each returned alias,
# parametrize builds a function that, given a list of args,
# returns the alias
# then as we may have multiple returned alias, we compute the union
# of these returned aliases
return_aliases = [parametrize(ret_alias)
for ret_alias
in self.aliases[Aliases.RetId]]
def merge_return_aliases(args):
merged_return_aliases = set()
for return_alias in return_aliases:
merged_return_aliases.update(return_alias(args))
return merged_return_aliases
node.return_alias = merge_return_aliases | [
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251,664 | serge-sans-paille/pythran | pythran/analyses/aliases.py | Aliases.visit_For | def visit_For(self, node):
'''
For loop creates aliasing between the target
and the content of the iterator
>>> from pythran import passmanager
>>> pm = passmanager.PassManager('demo')
>>> module = ast.parse("""
... def foo(a):
... for i in a:
... {i}""")
>>> result = pm.gather(Aliases, module)
>>> Aliases.dump(result, filter=ast.Set)
{i} => ['|i|']
Not very useful, unless we know something about the iterated container
>>> module = ast.parse("""
... def foo(a, b):
... for i in [a, b]:
... {i}""")
>>> result = pm.gather(Aliases, module)
>>> Aliases.dump(result, filter=ast.Set)
{i} => ['|a|', '|b|']
'''
iter_aliases = self.visit(node.iter)
if all(isinstance(x, ContainerOf) for x in iter_aliases):
target_aliases = set()
for iter_alias in iter_aliases:
target_aliases.add(iter_alias.containee)
else:
target_aliases = {node.target}
self.add(node.target, target_aliases)
self.aliases[node.target.id] = self.result[node.target]
self.generic_visit(node)
self.generic_visit(node) | python | def visit_For(self, node):
'''
For loop creates aliasing between the target
and the content of the iterator
>>> from pythran import passmanager
>>> pm = passmanager.PassManager('demo')
>>> module = ast.parse("""
... def foo(a):
... for i in a:
... {i}""")
>>> result = pm.gather(Aliases, module)
>>> Aliases.dump(result, filter=ast.Set)
{i} => ['|i|']
Not very useful, unless we know something about the iterated container
>>> module = ast.parse("""
... def foo(a, b):
... for i in [a, b]:
... {i}""")
>>> result = pm.gather(Aliases, module)
>>> Aliases.dump(result, filter=ast.Set)
{i} => ['|a|', '|b|']
'''
iter_aliases = self.visit(node.iter)
if all(isinstance(x, ContainerOf) for x in iter_aliases):
target_aliases = set()
for iter_alias in iter_aliases:
target_aliases.add(iter_alias.containee)
else:
target_aliases = {node.target}
self.add(node.target, target_aliases)
self.aliases[node.target.id] = self.result[node.target]
self.generic_visit(node)
self.generic_visit(node) | [
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>>> pm = passmanager.PassManager('demo')
>>> module = ast.parse("""
... def foo(a):
... for i in a:
... {i}""")
>>> result = pm.gather(Aliases, module)
>>> Aliases.dump(result, filter=ast.Set)
{i} => ['|i|']
Not very useful, unless we know something about the iterated container
>>> module = ast.parse("""
... def foo(a, b):
... for i in [a, b]:
... {i}""")
>>> result = pm.gather(Aliases, module)
>>> Aliases.dump(result, filter=ast.Set)
{i} => ['|a|', '|b|'] | [
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251,665 | serge-sans-paille/pythran | pythran/analyses/argument_read_once.py | ArgumentReadOnce.prepare | def prepare(self, node):
"""
Initialise arguments effects as this analysis in inter-procedural.
Initialisation done for Pythonic functions and default values set for
user defined functions.
"""
super(ArgumentReadOnce, self).prepare(node)
# global functions init
for n in self.global_declarations.values():
fe = ArgumentReadOnce.FunctionEffects(n)
self.node_to_functioneffect[n] = fe
self.result.add(fe)
# Pythonic functions init
def save_effect(module):
""" Recursively save read once effect for Pythonic functions. """
for intr in module.values():
if isinstance(intr, dict): # Submodule case
save_effect(intr)
else:
fe = ArgumentReadOnce.FunctionEffects(intr)
self.node_to_functioneffect[intr] = fe
self.result.add(fe)
if isinstance(intr, intrinsic.Class): # Class case
save_effect(intr.fields)
for module in MODULES.values():
save_effect(module) | python | def prepare(self, node):
super(ArgumentReadOnce, self).prepare(node)
# global functions init
for n in self.global_declarations.values():
fe = ArgumentReadOnce.FunctionEffects(n)
self.node_to_functioneffect[n] = fe
self.result.add(fe)
# Pythonic functions init
def save_effect(module):
""" Recursively save read once effect for Pythonic functions. """
for intr in module.values():
if isinstance(intr, dict): # Submodule case
save_effect(intr)
else:
fe = ArgumentReadOnce.FunctionEffects(intr)
self.node_to_functioneffect[intr] = fe
self.result.add(fe)
if isinstance(intr, intrinsic.Class): # Class case
save_effect(intr.fields)
for module in MODULES.values():
save_effect(module) | [
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251,666 | astropy/regions | regions/io/ds9/write.py | ds9_objects_to_string | def ds9_objects_to_string(regions, coordsys='fk5', fmt='.6f', radunit='deg'):
"""
Converts a `list` of `~regions.Region` to DS9 region string.
Parameters
----------
regions : `list`
List of `~regions.Region` objects
coordsys : `str`, optional
This overrides the coordinate system frame for all regions.
Default is 'fk5'.
fmt : `str`, optional
A python string format defining the output precision. Default is .6f,
which is accurate to 0.0036 arcseconds.
radunit : `str`, optional
This denotes the unit of the radius. Default is 'deg'(degrees)
Returns
-------
region_string : `str`
DS9 region string
Examples
--------
>>> from astropy import units as u
>>> from astropy.coordinates import SkyCoord
>>> from regions import CircleSkyRegion, ds9_objects_to_string
>>> reg_sky = CircleSkyRegion(SkyCoord(1 * u.deg, 2 * u.deg), 5 * u.deg)
>>> print(ds9_objects_to_string([reg_sky]))
# Region file format: DS9 astropy/regions
fk5
circle(1.000007,2.000002,5.000000)
"""
shapelist = to_shape_list(regions, coordsys)
return shapelist.to_ds9(coordsys, fmt, radunit) | python | def ds9_objects_to_string(regions, coordsys='fk5', fmt='.6f', radunit='deg'):
shapelist = to_shape_list(regions, coordsys)
return shapelist.to_ds9(coordsys, fmt, radunit) | [
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regions : `list`
List of `~regions.Region` objects
coordsys : `str`, optional
This overrides the coordinate system frame for all regions.
Default is 'fk5'.
fmt : `str`, optional
A python string format defining the output precision. Default is .6f,
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radunit : `str`, optional
This denotes the unit of the radius. Default is 'deg'(degrees)
Returns
-------
region_string : `str`
DS9 region string
Examples
--------
>>> from astropy import units as u
>>> from astropy.coordinates import SkyCoord
>>> from regions import CircleSkyRegion, ds9_objects_to_string
>>> reg_sky = CircleSkyRegion(SkyCoord(1 * u.deg, 2 * u.deg), 5 * u.deg)
>>> print(ds9_objects_to_string([reg_sky]))
# Region file format: DS9 astropy/regions
fk5
circle(1.000007,2.000002,5.000000) | [
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251,667 | astropy/regions | regions/io/ds9/write.py | write_ds9 | def write_ds9(regions, filename, coordsys='fk5', fmt='.6f', radunit='deg'):
"""
Converts a `list` of `~regions.Region` to DS9 string and write to file.
Parameters
----------
regions : `list`
List of `regions.Region` objects
filename : `str`
Filename in which the string is to be written.
coordsys : `str`, optional #TODO
Coordinate system that overrides the coordinate frames of all regions.
Default is 'fk5'.
fmt : `str`, optional
A python string format defining the output precision. Default is .6f,
which is accurate to 0.0036 arcseconds.
radunit : `str`, optional
This denotes the unit of the radius. Default is deg (degrees)
Examples
--------
>>> from astropy import units as u
>>> from astropy.coordinates import SkyCoord
>>> from regions import CircleSkyRegion, write_ds9
>>> reg_sky = CircleSkyRegion(SkyCoord(1 * u.deg, 2 * u.deg), 5 * u.deg)
>>> write_ds9([reg_sky], 'test_write.reg')
>>> with open('test_write.reg') as f:
... print(f.read())
# Region file format: DS9 astropy/regions
fk5
circle(1.000007,2.000002,5.000000)
"""
output = ds9_objects_to_string(regions, coordsys, fmt, radunit)
with open(filename, 'w') as fh:
fh.write(output) | python | def write_ds9(regions, filename, coordsys='fk5', fmt='.6f', radunit='deg'):
output = ds9_objects_to_string(regions, coordsys, fmt, radunit)
with open(filename, 'w') as fh:
fh.write(output) | [
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Filename in which the string is to be written.
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Coordinate system that overrides the coordinate frames of all regions.
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A python string format defining the output precision. Default is .6f,
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radunit : `str`, optional
This denotes the unit of the radius. Default is deg (degrees)
Examples
--------
>>> from astropy import units as u
>>> from astropy.coordinates import SkyCoord
>>> from regions import CircleSkyRegion, write_ds9
>>> reg_sky = CircleSkyRegion(SkyCoord(1 * u.deg, 2 * u.deg), 5 * u.deg)
>>> write_ds9([reg_sky], 'test_write.reg')
>>> with open('test_write.reg') as f:
... print(f.read())
# Region file format: DS9 astropy/regions
fk5
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251,668 | astropy/regions | regions/io/crtf/write.py | crtf_objects_to_string | def crtf_objects_to_string(regions, coordsys='fk5', fmt='.6f', radunit='deg'):
"""
Converts a `list` of `~regions.Region` to CRTF region string.
Parameters
----------
regions : `list`
List of `~regions.Region` objects
coordsys : `str`, optional
Astropy Coordinate system that overrides the coordinate system frame for
all regions. Default is 'fk5'.
fmt : `str`, optional
A python string format defining the output precision. Default is .6f,
which is accurate to 0.0036 arcseconds.
radunit : `str`, optional
This denotes the unit of the radius. Default is deg (degrees)
Returns
-------
region_string : `str`
CRTF region string
Examples
--------
>>> from astropy import units as u
>>> from astropy.coordinates import SkyCoord
>>> from regions import CircleSkyRegion, crtf_objects_to_string
>>> reg_sky = CircleSkyRegion(SkyCoord(1 * u.deg, 2 * u.deg), 5 * u.deg)
>>> print(crtf_objects_to_string([reg_sky]))
#CRTF
global coord=fk5
+circle[[1.000007deg, 2.000002deg], 5.000000deg]
"""
shapelist = to_shape_list(regions, coordsys)
return shapelist.to_crtf(coordsys, fmt, radunit) | python | def crtf_objects_to_string(regions, coordsys='fk5', fmt='.6f', radunit='deg'):
shapelist = to_shape_list(regions, coordsys)
return shapelist.to_crtf(coordsys, fmt, radunit) | [
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Parameters
----------
regions : `list`
List of `~regions.Region` objects
coordsys : `str`, optional
Astropy Coordinate system that overrides the coordinate system frame for
all regions. Default is 'fk5'.
fmt : `str`, optional
A python string format defining the output precision. Default is .6f,
which is accurate to 0.0036 arcseconds.
radunit : `str`, optional
This denotes the unit of the radius. Default is deg (degrees)
Returns
-------
region_string : `str`
CRTF region string
Examples
--------
>>> from astropy import units as u
>>> from astropy.coordinates import SkyCoord
>>> from regions import CircleSkyRegion, crtf_objects_to_string
>>> reg_sky = CircleSkyRegion(SkyCoord(1 * u.deg, 2 * u.deg), 5 * u.deg)
>>> print(crtf_objects_to_string([reg_sky]))
#CRTF
global coord=fk5
+circle[[1.000007deg, 2.000002deg], 5.000000deg] | [
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251,669 | astropy/regions | regions/io/crtf/write.py | write_crtf | def write_crtf(regions, filename, coordsys='fk5', fmt='.6f', radunit='deg'):
"""
Converts a `list` of `~regions.Region` to CRTF string and write to file.
Parameters
----------
regions : `list`
List of `~regions.Region` objects
filename : `str`
Filename in which the string is to be written. Default is 'new.crtf'
coordsys : `str`, optional
Astropy Coordinate system that overrides the coordinate frames of all
regions. Default is 'fk5'.
fmt : `str`, optional
A python string format defining the output precision. Default is .6f,
which is accurate to 0.0036 arcseconds.
radunit : `str`, optional
This denotes the unit of the radius. Default is deg (degrees)
Examples
--------
>>> from astropy import units as u
>>> from astropy.coordinates import SkyCoord
>>> from regions import CircleSkyRegion, write_crtf
>>> reg_sky = CircleSkyRegion(SkyCoord(1 * u.deg, 2 * u.deg), 5 * u.deg)
>>> write_crtf([reg_sky], 'test_write.crtf')
>>> with open('test_write.crtf') as f:
... print(f.read())
#CRTF
global coord=fk5
+circle[[1.000007deg, 2.000002deg], 5.000000deg]
"""
output = crtf_objects_to_string(regions, coordsys, fmt, radunit)
with open(filename, 'w') as fh:
fh.write(output) | python | def write_crtf(regions, filename, coordsys='fk5', fmt='.6f', radunit='deg'):
output = crtf_objects_to_string(regions, coordsys, fmt, radunit)
with open(filename, 'w') as fh:
fh.write(output) | [
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Filename in which the string is to be written. Default is 'new.crtf'
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Astropy Coordinate system that overrides the coordinate frames of all
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fmt : `str`, optional
A python string format defining the output precision. Default is .6f,
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radunit : `str`, optional
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Examples
--------
>>> from astropy import units as u
>>> from astropy.coordinates import SkyCoord
>>> from regions import CircleSkyRegion, write_crtf
>>> reg_sky = CircleSkyRegion(SkyCoord(1 * u.deg, 2 * u.deg), 5 * u.deg)
>>> write_crtf([reg_sky], 'test_write.crtf')
>>> with open('test_write.crtf') as f:
... print(f.read())
#CRTF
global coord=fk5
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251,670 | astropy/regions | regions/shapes/rectangle.py | RectanglePixelRegion.corners | def corners(self):
"""
Return the x, y coordinate pairs that define the corners
"""
corners = [(-self.width/2, -self.height/2),
( self.width/2, -self.height/2),
( self.width/2, self.height/2),
(-self.width/2, self.height/2),
]
rotmat = [[np.cos(self.angle), np.sin(self.angle)],
[-np.sin(self.angle), np.cos(self.angle)]]
return np.dot(corners, rotmat) + np.array([self.center.x,
self.center.y]) | python | def corners(self):
corners = [(-self.width/2, -self.height/2),
( self.width/2, -self.height/2),
( self.width/2, self.height/2),
(-self.width/2, self.height/2),
]
rotmat = [[np.cos(self.angle), np.sin(self.angle)],
[-np.sin(self.angle), np.cos(self.angle)]]
return np.dot(corners, rotmat) + np.array([self.center.x,
self.center.y]) | [
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251,671 | astropy/regions | regions/shapes/rectangle.py | RectanglePixelRegion.to_polygon | def to_polygon(self):
"""
Return a 4-cornered polygon equivalent to this rectangle
"""
x,y = self.corners.T
vertices = PixCoord(x=x, y=y)
return PolygonPixelRegion(vertices=vertices, meta=self.meta,
visual=self.visual) | python | def to_polygon(self):
x,y = self.corners.T
vertices = PixCoord(x=x, y=y)
return PolygonPixelRegion(vertices=vertices, meta=self.meta,
visual=self.visual) | [
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251,672 | astropy/regions | regions/shapes/rectangle.py | RectanglePixelRegion._lower_left_xy | def _lower_left_xy(self):
"""
Compute lower left `xy` position.
This is used for the conversion to matplotlib in ``as_artist``
Taken from http://photutils.readthedocs.io/en/latest/_modules/photutils/aperture/rectangle.html#RectangularAperture.plot
"""
hw = self.width / 2.
hh = self.height / 2.
sint = np.sin(self.angle)
cost = np.cos(self.angle)
dx = (hh * sint) - (hw * cost)
dy = -(hh * cost) - (hw * sint)
x = self.center.x + dx
y = self.center.y + dy
return x, y | python | def _lower_left_xy(self):
hw = self.width / 2.
hh = self.height / 2.
sint = np.sin(self.angle)
cost = np.cos(self.angle)
dx = (hh * sint) - (hw * cost)
dy = -(hh * cost) - (hw * sint)
x = self.center.x + dx
y = self.center.y + dy
return x, y | [
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251,673 | astropy/regions | regions/core/compound.py | CompoundPixelRegion._make_annulus_path | def _make_annulus_path(patch_inner, patch_outer):
"""
Defines a matplotlib annulus path from two patches.
This preserves the cubic Bezier curves (CURVE4) of the aperture
paths.
# This is borrowed from photutils aperture.
"""
import matplotlib.path as mpath
path_inner = patch_inner.get_path()
transform_inner = patch_inner.get_transform()
path_inner = transform_inner.transform_path(path_inner)
path_outer = patch_outer.get_path()
transform_outer = patch_outer.get_transform()
path_outer = transform_outer.transform_path(path_outer)
verts_inner = path_inner.vertices[:-1][::-1]
verts_inner = np.concatenate((verts_inner, [verts_inner[-1]]))
verts = np.vstack((path_outer.vertices, verts_inner))
codes = np.hstack((path_outer.codes, path_inner.codes))
return mpath.Path(verts, codes) | python | def _make_annulus_path(patch_inner, patch_outer):
import matplotlib.path as mpath
path_inner = patch_inner.get_path()
transform_inner = patch_inner.get_transform()
path_inner = transform_inner.transform_path(path_inner)
path_outer = patch_outer.get_path()
transform_outer = patch_outer.get_transform()
path_outer = transform_outer.transform_path(path_outer)
verts_inner = path_inner.vertices[:-1][::-1]
verts_inner = np.concatenate((verts_inner, [verts_inner[-1]]))
verts = np.vstack((path_outer.vertices, verts_inner))
codes = np.hstack((path_outer.codes, path_inner.codes))
return mpath.Path(verts, codes) | [
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251,674 | astropy/regions | regions/io/fits/read.py | read_fits_region | def read_fits_region(filename, errors='strict'):
"""
Reads a FITS region file and scans for any fits regions table and
converts them into `Region` objects.
Parameters
----------
filename : str
The file path
errors : ``warn``, ``ignore``, ``strict``
The error handling scheme to use for handling parsing errors.
The default is 'strict', which will raise a `FITSRegionParserError`.
``warn`` will raise a `FITSRegionParserWarning`, and ``ignore`` will do nothing
(i.e., be silent).
Returns
-------
regions : list
Python list of `regions.Region` objects.
Examples
--------
>>> from astropy.utils.data import get_pkg_data_filename
>>> from regions import read_fits_region
>>> file_read = get_pkg_data_filename('data/region.fits',
... package='regions.io.fits.tests')
>>> regions = read_fits_region(file_read)
"""
regions = []
hdul = fits.open(filename)
for hdu in hdul:
if hdu.name == 'REGION':
table = Table.read(hdu)
wcs = WCS(hdu.header, keysel=['image', 'binary', 'pixel'])
regions_list = FITSRegionParser(table, errors).shapes.to_regions()
for reg in regions_list:
regions.append(reg.to_sky(wcs))
return regions | python | def read_fits_region(filename, errors='strict'):
regions = []
hdul = fits.open(filename)
for hdu in hdul:
if hdu.name == 'REGION':
table = Table.read(hdu)
wcs = WCS(hdu.header, keysel=['image', 'binary', 'pixel'])
regions_list = FITSRegionParser(table, errors).shapes.to_regions()
for reg in regions_list:
regions.append(reg.to_sky(wcs))
return regions | [
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Parameters
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filename : str
The file path
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The error handling scheme to use for handling parsing errors.
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``warn`` will raise a `FITSRegionParserWarning`, and ``ignore`` will do nothing
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Returns
-------
regions : list
Python list of `regions.Region` objects.
Examples
--------
>>> from astropy.utils.data import get_pkg_data_filename
>>> from regions import read_fits_region
>>> file_read = get_pkg_data_filename('data/region.fits',
... package='regions.io.fits.tests')
>>> regions = read_fits_region(file_read) | [
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251,675 | astropy/regions | regions/io/core.py | to_shape_list | def to_shape_list(region_list, coordinate_system='fk5'):
"""
Converts a list of regions into a `regions.ShapeList` object.
Parameters
----------
region_list: python list
Lists of `regions.Region` objects
format_type: str ('DS9' or 'CRTF')
The format type of the Shape object. Default is 'DS9'.
coordinate_system: str
The astropy coordinate system frame in which all the coordinates present
in the `region_list` will be converted. Default is 'fk5'.
Returns
-------
shape_list: `regions.ShapeList` object
list of `regions.Shape` objects.
"""
shape_list = ShapeList()
for region in region_list:
coord = []
if isinstance(region, SkyRegion):
reg_type = region.__class__.__name__[:-9].lower()
else:
reg_type = region.__class__.__name__[:-11].lower()
for val in regions_attributes[reg_type]:
coord.append(getattr(region, val))
if reg_type == 'polygon':
coord = [x for x in region.vertices]
if coordinate_system:
coordsys = coordinate_system
else:
if isinstance(region, SkyRegion):
coordsys = coord[0].name
else:
coordsys = 'image'
frame = coordinates.frame_transform_graph.lookup_name(coordsys)
new_coord = []
for val in coord:
if isinstance(val, Angle) or isinstance(val, u.Quantity) or isinstance(val, numbers.Number):
new_coord.append(val)
elif isinstance(val, PixCoord):
new_coord.append(u.Quantity(val.x, u.dimensionless_unscaled))
new_coord.append(u.Quantity(val.y, u.dimensionless_unscaled))
else:
new_coord.append(Angle(val.transform_to(frame).spherical.lon))
new_coord.append(Angle(val.transform_to(frame).spherical.lat))
meta = dict(region.meta)
meta.update(region.visual)
if reg_type == 'text':
meta['text'] = meta.get('text', meta.pop('label', ''))
include = region.meta.pop('include', True)
shape_list.append(Shape(coordsys, reg_type, new_coord, meta, False,
include))
return shape_list | python | def to_shape_list(region_list, coordinate_system='fk5'):
shape_list = ShapeList()
for region in region_list:
coord = []
if isinstance(region, SkyRegion):
reg_type = region.__class__.__name__[:-9].lower()
else:
reg_type = region.__class__.__name__[:-11].lower()
for val in regions_attributes[reg_type]:
coord.append(getattr(region, val))
if reg_type == 'polygon':
coord = [x for x in region.vertices]
if coordinate_system:
coordsys = coordinate_system
else:
if isinstance(region, SkyRegion):
coordsys = coord[0].name
else:
coordsys = 'image'
frame = coordinates.frame_transform_graph.lookup_name(coordsys)
new_coord = []
for val in coord:
if isinstance(val, Angle) or isinstance(val, u.Quantity) or isinstance(val, numbers.Number):
new_coord.append(val)
elif isinstance(val, PixCoord):
new_coord.append(u.Quantity(val.x, u.dimensionless_unscaled))
new_coord.append(u.Quantity(val.y, u.dimensionless_unscaled))
else:
new_coord.append(Angle(val.transform_to(frame).spherical.lon))
new_coord.append(Angle(val.transform_to(frame).spherical.lat))
meta = dict(region.meta)
meta.update(region.visual)
if reg_type == 'text':
meta['text'] = meta.get('text', meta.pop('label', ''))
include = region.meta.pop('include', True)
shape_list.append(Shape(coordsys, reg_type, new_coord, meta, False,
include))
return shape_list | [
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Parameters
----------
region_list: python list
Lists of `regions.Region` objects
format_type: str ('DS9' or 'CRTF')
The format type of the Shape object. Default is 'DS9'.
coordinate_system: str
The astropy coordinate system frame in which all the coordinates present
in the `region_list` will be converted. Default is 'fk5'.
Returns
-------
shape_list: `regions.ShapeList` object
list of `regions.Shape` objects. | [
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251,676 | astropy/regions | regions/io/core.py | to_ds9_meta | def to_ds9_meta(shape_meta):
"""
Makes the meta data DS9 compatible by filtering and mapping the valid keys
Parameters
----------
shape_meta: dict
meta attribute of a `regions.Shape` object
Returns
-------
meta : dict
DS9 compatible meta dictionary
"""
# meta keys allowed in DS9.
valid_keys = ['symbol', 'include', 'tag', 'line', 'comment',
'name', 'select', 'highlite', 'fixed', 'label', 'text',
'edit', 'move', 'rotate', 'delete', 'source', 'background']
# visual keys allowed in DS9
valid_keys += ['color', 'dash', 'linewidth', 'font', 'dashlist',
'fill', 'textangle', 'symsize']
# mapped to actual names in DS9
key_mappings = {'symbol': 'point', 'linewidth': 'width', 'label': 'text'}
meta = _to_io_meta(shape_meta, valid_keys, key_mappings)
if 'font' in meta:
meta['font'] += " {0} {1} {2}".format(shape_meta.get('fontsize', 12),
shape_meta.get('fontstyle', 'normal'),
shape_meta.get('fontweight', 'roman'))
return meta | python | def to_ds9_meta(shape_meta):
# meta keys allowed in DS9.
valid_keys = ['symbol', 'include', 'tag', 'line', 'comment',
'name', 'select', 'highlite', 'fixed', 'label', 'text',
'edit', 'move', 'rotate', 'delete', 'source', 'background']
# visual keys allowed in DS9
valid_keys += ['color', 'dash', 'linewidth', 'font', 'dashlist',
'fill', 'textangle', 'symsize']
# mapped to actual names in DS9
key_mappings = {'symbol': 'point', 'linewidth': 'width', 'label': 'text'}
meta = _to_io_meta(shape_meta, valid_keys, key_mappings)
if 'font' in meta:
meta['font'] += " {0} {1} {2}".format(shape_meta.get('fontsize', 12),
shape_meta.get('fontstyle', 'normal'),
shape_meta.get('fontweight', 'roman'))
return meta | [
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Parameters
----------
shape_meta: dict
meta attribute of a `regions.Shape` object
Returns
-------
meta : dict
DS9 compatible meta dictionary | [
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251,677 | astropy/regions | regions/io/core.py | _to_io_meta | def _to_io_meta(shape_meta, valid_keys, key_mappings):
"""
This is used to make meta data compatible with a specific io
by filtering and mapping to it's valid keys
Parameters
----------
shape_meta: dict
meta attribute of a `regions.Region` object
valid_keys : python list
Contains all the valid keys of a particular file format.
key_mappings : python dict
Maps to the actual name of the key in the format.
Returns
-------
meta : dict
io compatible meta dictionary according to valid_keys and key_mappings
"""
meta = dict()
for key in shape_meta:
if key in valid_keys:
meta[key_mappings.get(key, key)] = shape_meta[key]
return meta | python | def _to_io_meta(shape_meta, valid_keys, key_mappings):
meta = dict()
for key in shape_meta:
if key in valid_keys:
meta[key_mappings.get(key, key)] = shape_meta[key]
return meta | [
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Parameters
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meta attribute of a `regions.Region` object
valid_keys : python list
Contains all the valid keys of a particular file format.
key_mappings : python dict
Maps to the actual name of the key in the format.
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meta : dict
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251,678 | astropy/regions | regions/io/core.py | Shape.convert_coords | def convert_coords(self):
"""
Process list of coordinates
This mainly searches for tuple of coordinates in the coordinate list and
creates a SkyCoord or PixCoord object from them if appropriate for a
given region type. This involves again some coordinate transformation,
so this step could be moved to the parsing process
"""
if self.coordsys in ['image', 'physical']:
coords = self._convert_pix_coords()
else:
coords = self._convert_sky_coords()
if self.region_type == 'line':
coords = [coords[0][0], coords[0][1]]
if self.region_type == 'text':
coords.append(self.meta['text'])
return coords | python | def convert_coords(self):
if self.coordsys in ['image', 'physical']:
coords = self._convert_pix_coords()
else:
coords = self._convert_sky_coords()
if self.region_type == 'line':
coords = [coords[0][0], coords[0][1]]
if self.region_type == 'text':
coords.append(self.meta['text'])
return coords | [
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251,679 | astropy/regions | regions/io/core.py | Shape._convert_sky_coords | def _convert_sky_coords(self):
"""
Convert to sky coordinates
"""
parsed_angles = [(x, y)
for x, y in zip(self.coord[:-1:2], self.coord[1::2])
if (isinstance(x, coordinates.Angle) and isinstance(y, coordinates.Angle))
]
frame = coordinates.frame_transform_graph.lookup_name(self.coordsys)
lon, lat = zip(*parsed_angles)
if hasattr(lon, '__len__') and hasattr(lat, '__len__') and len(lon) == 1 and len(lat) == 1:
# force entries to be scalar if they are length-1
lon, lat = u.Quantity(lon[0]), u.Quantity(lat[0])
else:
# otherwise, they are vector quantities
lon, lat = u.Quantity(lon), u.Quantity(lat)
sphcoords = coordinates.UnitSphericalRepresentation(lon, lat)
coords = [SkyCoord(frame(sphcoords))]
if self.region_type != 'polygon':
coords += self.coord[len(coords * 2):]
return coords | python | def _convert_sky_coords(self):
parsed_angles = [(x, y)
for x, y in zip(self.coord[:-1:2], self.coord[1::2])
if (isinstance(x, coordinates.Angle) and isinstance(y, coordinates.Angle))
]
frame = coordinates.frame_transform_graph.lookup_name(self.coordsys)
lon, lat = zip(*parsed_angles)
if hasattr(lon, '__len__') and hasattr(lat, '__len__') and len(lon) == 1 and len(lat) == 1:
# force entries to be scalar if they are length-1
lon, lat = u.Quantity(lon[0]), u.Quantity(lat[0])
else:
# otherwise, they are vector quantities
lon, lat = u.Quantity(lon), u.Quantity(lat)
sphcoords = coordinates.UnitSphericalRepresentation(lon, lat)
coords = [SkyCoord(frame(sphcoords))]
if self.region_type != 'polygon':
coords += self.coord[len(coords * 2):]
return coords | [
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251,680 | astropy/regions | regions/io/core.py | Shape._convert_pix_coords | def _convert_pix_coords(self):
"""
Convert to pixel coordinates, `regions.PixCoord`
"""
if self.region_type in ['polygon', 'line']:
# have to special-case polygon in the phys coord case
# b/c can't typecheck when iterating as in sky coord case
coords = [PixCoord(self.coord[0::2], self.coord[1::2])]
else:
temp = [_.value for _ in self.coord]
coord = PixCoord(temp[0], temp[1])
coords = [coord] + temp[2:]
# The angle remains as a quantity object.
# Modulus check makes sure that it works for ellipse/rectangle annulus
if self.region_type in ['ellipse', 'rectangle'] and len(coords) % 2 == 0:
coords[-1] = self.coord[-1]
return coords | python | def _convert_pix_coords(self):
if self.region_type in ['polygon', 'line']:
# have to special-case polygon in the phys coord case
# b/c can't typecheck when iterating as in sky coord case
coords = [PixCoord(self.coord[0::2], self.coord[1::2])]
else:
temp = [_.value for _ in self.coord]
coord = PixCoord(temp[0], temp[1])
coords = [coord] + temp[2:]
# The angle remains as a quantity object.
# Modulus check makes sure that it works for ellipse/rectangle annulus
if self.region_type in ['ellipse', 'rectangle'] and len(coords) % 2 == 0:
coords[-1] = self.coord[-1]
return coords | [
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251,681 | astropy/regions | regions/io/core.py | Shape.to_region | def to_region(self):
"""
Converts to region, ``regions.Region`` object
"""
coords = self.convert_coords()
log.debug(coords)
viz_keywords = ['color', 'dash', 'dashlist', 'width', 'font', 'symsize',
'symbol', 'symsize', 'fontsize', 'fontstyle', 'usetex',
'labelpos', 'labeloff', 'linewidth', 'linestyle',
'point', 'textangle', 'fontweight']
if isinstance(coords[0], SkyCoord):
reg = self.shape_to_sky_region[self.region_type](*coords)
elif isinstance(coords[0], PixCoord):
reg = self.shape_to_pixel_region[self.region_type](*coords)
else:
self._raise_error("No central coordinate")
reg.visual = RegionVisual()
reg.meta = RegionMeta()
# both 'text' and 'label' should be set to the same value, where we
# default to the 'text' value since that is the one used by ds9 regions
label = self.meta.get('text',
self.meta.get('label', ""))
if label != '':
reg.meta['label'] = label
for key in self.meta:
if key in viz_keywords:
reg.visual[key] = self.meta[key]
else:
reg.meta[key] = self.meta[key]
reg.meta['include'] = self.include
return reg | python | def to_region(self):
coords = self.convert_coords()
log.debug(coords)
viz_keywords = ['color', 'dash', 'dashlist', 'width', 'font', 'symsize',
'symbol', 'symsize', 'fontsize', 'fontstyle', 'usetex',
'labelpos', 'labeloff', 'linewidth', 'linestyle',
'point', 'textangle', 'fontweight']
if isinstance(coords[0], SkyCoord):
reg = self.shape_to_sky_region[self.region_type](*coords)
elif isinstance(coords[0], PixCoord):
reg = self.shape_to_pixel_region[self.region_type](*coords)
else:
self._raise_error("No central coordinate")
reg.visual = RegionVisual()
reg.meta = RegionMeta()
# both 'text' and 'label' should be set to the same value, where we
# default to the 'text' value since that is the one used by ds9 regions
label = self.meta.get('text',
self.meta.get('label', ""))
if label != '':
reg.meta['label'] = label
for key in self.meta:
if key in viz_keywords:
reg.visual[key] = self.meta[key]
else:
reg.meta[key] = self.meta[key]
reg.meta['include'] = self.include
return reg | [
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251,682 | astropy/regions | regions/io/core.py | Shape.check_crtf | def check_crtf(self):
"""
Checks for CRTF compatibility.
"""
if self.region_type not in regions_attributes:
raise ValueError("'{0}' is not a valid region type in this package"
"supported by CRTF".format(self.region_type))
if self.coordsys not in valid_coordsys['CRTF']:
raise ValueError("'{0}' is not a valid coordinate reference frame in "
"astropy supported by CRTF".format(self.coordsys)) | python | def check_crtf(self):
if self.region_type not in regions_attributes:
raise ValueError("'{0}' is not a valid region type in this package"
"supported by CRTF".format(self.region_type))
if self.coordsys not in valid_coordsys['CRTF']:
raise ValueError("'{0}' is not a valid coordinate reference frame in "
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251,683 | astropy/regions | regions/io/core.py | Shape.check_ds9 | def check_ds9(self):
"""
Checks for DS9 compatibility.
"""
if self.region_type not in regions_attributes:
raise ValueError("'{0}' is not a valid region type in this package"
"supported by DS9".format(self.region_type))
if self.coordsys not in valid_coordsys['DS9']:
raise ValueError("'{0}' is not a valid coordinate reference frame "
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if self.region_type not in regions_attributes:
raise ValueError("'{0}' is not a valid region type in this package"
"supported by DS9".format(self.region_type))
if self.coordsys not in valid_coordsys['DS9']:
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251,684 | astropy/regions | regions/io/core.py | Shape._validate | def _validate(self):
"""
Checks whether all the attributes of this object is valid.
"""
if self.region_type not in regions_attributes:
raise ValueError("'{0}' is not a valid region type in this package"
.format(self.region_type))
if self.coordsys not in valid_coordsys['DS9'] + valid_coordsys['CRTF']:
raise ValueError("'{0}' is not a valid coordinate reference frame "
"in astropy".format(self.coordsys)) | python | def _validate(self):
if self.region_type not in regions_attributes:
raise ValueError("'{0}' is not a valid region type in this package"
.format(self.region_type))
if self.coordsys not in valid_coordsys['DS9'] + valid_coordsys['CRTF']:
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251,685 | astropy/regions | regions/io/crtf/read.py | read_crtf | def read_crtf(filename, errors='strict'):
"""
Reads a CRTF region file and returns a list of region objects.
Parameters
----------
filename : `str`
The file path
errors : ``warn``, ``ignore``, ``strict``, optional
The error handling scheme to use for handling parsing errors.
The default is 'strict', which will raise a `~regions.CRTFRegionParserError`.
``warn`` will raise a `~regions.CRTFRegionParserWarning`, and ``ignore`` will do nothing
(i.e., be silent).
Returns
-------
regions : `list`
Python `list` of `~regions.Region` objects.
Examples
--------
>>> from regions import read_crtf
>>> from astropy.utils.data import get_pkg_data_filename
>>> file = get_pkg_data_filename('data/CRTFgeneral.crtf', package='regions.io.crtf.tests')
>>> regs = read_crtf(file, errors='warn')
>>> print(regs[0])
Region: CircleSkyRegion
center: <SkyCoord (FK4: equinox=B1950.000, obstime=B1950.000): (ra, dec) in deg
(273.1, -23.18333333)>
radius: 2.3 arcsec
>>> print(regs[0].meta)
{'frame': 'BARY', 'corr': ['I', 'Q'], 'include': True, 'type': 'ann'}
>>> print(regs[0].visual)
{'color': 'blue'}
"""
with open(filename) as fh:
if regex_begin.search(fh.readline()):
region_string = fh.read()
parser = CRTFParser(region_string, errors)
return parser.shapes.to_regions()
else:
raise CRTFRegionParserError('Every CRTF Region must start with "#CRTF" ') | python | def read_crtf(filename, errors='strict'):
with open(filename) as fh:
if regex_begin.search(fh.readline()):
region_string = fh.read()
parser = CRTFParser(region_string, errors)
return parser.shapes.to_regions()
else:
raise CRTFRegionParserError('Every CRTF Region must start with "#CRTF" ') | [
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Returns
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Python `list` of `~regions.Region` objects.
Examples
--------
>>> from regions import read_crtf
>>> from astropy.utils.data import get_pkg_data_filename
>>> file = get_pkg_data_filename('data/CRTFgeneral.crtf', package='regions.io.crtf.tests')
>>> regs = read_crtf(file, errors='warn')
>>> print(regs[0])
Region: CircleSkyRegion
center: <SkyCoord (FK4: equinox=B1950.000, obstime=B1950.000): (ra, dec) in deg
(273.1, -23.18333333)>
radius: 2.3 arcsec
>>> print(regs[0].meta)
{'frame': 'BARY', 'corr': ['I', 'Q'], 'include': True, 'type': 'ann'}
>>> print(regs[0].visual)
{'color': 'blue'} | [
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251,686 | astropy/regions | regions/io/crtf/read.py | CRTFParser.parse_line | def parse_line(self, line):
"""
Parses a single line.
"""
# Skip blanks
if line == '':
return
# Skip comments
if regex_comment.search(line):
return
# Special case / header: parse global parameters into metadata
global_parameters = regex_global.search(line)
if global_parameters:
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crtf_line = regex_line.search(line)
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include = region.group('include') or '+'
region_type = region.group('regiontype').lower()
if region_type in self.valid_definition:
helper = CRTFRegionParser(self.global_meta, include, type_, region_type,
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self.shapes.append(helper.shape)
else:
self._raise_error("Not a valid CRTF Region type: '{0}'.".format(region_type))
else:
self._raise_error("Not a valid CRTF line: '{0}'.".format(line))
return | python | def parse_line(self, line):
# Skip blanks
if line == '':
return
# Skip comments
if regex_comment.search(line):
return
# Special case / header: parse global parameters into metadata
global_parameters = regex_global.search(line)
if global_parameters:
self.parse_global_meta(global_parameters.group('parameters'))
return
# Tries to check the validity of the line.
crtf_line = regex_line.search(line)
if crtf_line:
# Tries to parse the line.
# Finds info about the region.
region = regex_region.search(crtf_line.group('region'))
type_ = region.group('type') or 'reg'
include = region.group('include') or '+'
region_type = region.group('regiontype').lower()
if region_type in self.valid_definition:
helper = CRTFRegionParser(self.global_meta, include, type_, region_type,
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self.shapes.append(helper.shape)
else:
self._raise_error("Not a valid CRTF Region type: '{0}'.".format(region_type))
else:
self._raise_error("Not a valid CRTF line: '{0}'.".format(line))
return | [
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251,687 | astropy/regions | regions/io/crtf/read.py | CRTFRegionParser.parse | def parse(self):
"""
Starting point to parse the CRTF region string.
"""
self.convert_meta()
self.coordsys = self.meta.get('coord', 'image').lower()
self.set_coordsys()
self.convert_coordinates()
self.make_shape() | python | def parse(self):
self.convert_meta()
self.coordsys = self.meta.get('coord', 'image').lower()
self.set_coordsys()
self.convert_coordinates()
self.make_shape() | [
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251,688 | astropy/regions | regions/io/crtf/read.py | CRTFRegionParser.set_coordsys | def set_coordsys(self):
"""
Mapping to astropy's coordinate system name
# TODO: needs expert attention (Most reference systems are not mapped)
"""
if self.coordsys.lower() in self.coordsys_mapping:
self.coordsys = self.coordsys_mapping[self.coordsys.lower()] | python | def set_coordsys(self):
if self.coordsys.lower() in self.coordsys_mapping:
self.coordsys = self.coordsys_mapping[self.coordsys.lower()] | [
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# TODO: needs expert attention (Most reference systems are not mapped) | [
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251,689 | astropy/regions | regions/io/crtf/read.py | CRTFRegionParser.convert_coordinates | def convert_coordinates(self):
"""
Convert coordinate string to `~astropy.coordinates.Angle` or `~astropy.units.quantity.Quantity` objects
"""
coord_list_str = regex_coordinate.findall(self.reg_str) + regex_length.findall(self.reg_str)
coord_list = []
if self.region_type == 'poly':
if len(coord_list_str) < 4:
self._raise_error('Not in proper format: {} polygon should have > 4 coordinates'.format(self.reg_str))
if coord_list_str[0] != coord_list_str[-1]:
self._raise_error("Not in proper format: '{0}', "
"In polygon, the last and first coordinates should be same".format(self.reg_str))
else:
if len(coord_list_str) != len(self.language_spec[self.region_type]):
self._raise_error("Not in proper format: '{0}', "
"Does not contain expected number of parameters for the region '{1}'"
.format(self.reg_str, self.region_type))
for attr_spec, val_str in zip(self.language_spec[self.region_type], coord_list_str):
if attr_spec == 'c':
if len(val_str) == 2 and val_str[1] != '':
coord_list.append(CoordinateParser.parse_coordinate(val_str[0]))
coord_list.append(CoordinateParser.parse_coordinate(val_str[1]))
else:
self._raise_error("Not in proper format: {0} should be a coordinate".format(val_str))
if attr_spec == 'pl':
if len(val_str) == 2 and val_str[1] != '':
coord_list.append(CoordinateParser.parse_angular_length_quantity(val_str[0]))
coord_list.append(CoordinateParser.parse_angular_length_quantity(val_str[1]))
else:
self._raise_error("Not in proper format: {0} should be a pair of length".format(val_str))
if attr_spec == 'l':
if isinstance(val_str, six.string_types):
coord_list.append(CoordinateParser.parse_angular_length_quantity(val_str))
else:
self._raise_error("Not in proper format: {0} should be a single length".format(val_str))
if attr_spec == 's':
if self.region_type == 'symbol':
if val_str in valid_symbols:
self.meta['symbol'] = val_str
else:
self._raise_error("Not in proper format: '{0}' should be a symbol".format(val_str))
elif self.region_type == 'text':
self.meta['text'] = val_str[1:-1]
self.coord = coord_list | python | def convert_coordinates(self):
coord_list_str = regex_coordinate.findall(self.reg_str) + regex_length.findall(self.reg_str)
coord_list = []
if self.region_type == 'poly':
if len(coord_list_str) < 4:
self._raise_error('Not in proper format: {} polygon should have > 4 coordinates'.format(self.reg_str))
if coord_list_str[0] != coord_list_str[-1]:
self._raise_error("Not in proper format: '{0}', "
"In polygon, the last and first coordinates should be same".format(self.reg_str))
else:
if len(coord_list_str) != len(self.language_spec[self.region_type]):
self._raise_error("Not in proper format: '{0}', "
"Does not contain expected number of parameters for the region '{1}'"
.format(self.reg_str, self.region_type))
for attr_spec, val_str in zip(self.language_spec[self.region_type], coord_list_str):
if attr_spec == 'c':
if len(val_str) == 2 and val_str[1] != '':
coord_list.append(CoordinateParser.parse_coordinate(val_str[0]))
coord_list.append(CoordinateParser.parse_coordinate(val_str[1]))
else:
self._raise_error("Not in proper format: {0} should be a coordinate".format(val_str))
if attr_spec == 'pl':
if len(val_str) == 2 and val_str[1] != '':
coord_list.append(CoordinateParser.parse_angular_length_quantity(val_str[0]))
coord_list.append(CoordinateParser.parse_angular_length_quantity(val_str[1]))
else:
self._raise_error("Not in proper format: {0} should be a pair of length".format(val_str))
if attr_spec == 'l':
if isinstance(val_str, six.string_types):
coord_list.append(CoordinateParser.parse_angular_length_quantity(val_str))
else:
self._raise_error("Not in proper format: {0} should be a single length".format(val_str))
if attr_spec == 's':
if self.region_type == 'symbol':
if val_str in valid_symbols:
self.meta['symbol'] = val_str
else:
self._raise_error("Not in proper format: '{0}' should be a symbol".format(val_str))
elif self.region_type == 'text':
self.meta['text'] = val_str[1:-1]
self.coord = coord_list | [
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251,690 | astropy/regions | regions/io/crtf/read.py | CRTFRegionParser.convert_meta | def convert_meta(self):
"""
Parses the meta_str to python dictionary and stores in ``meta`` attribute.
"""
if self.meta_str:
self.meta_str = regex_meta.findall(self.meta_str + ',')
if self.meta_str:
for par in self.meta_str:
if par[0] is not '':
val1 = par[0]
val2 = par[1]
else:
val1 = par[2]
val2 = par[3]
val1 = val1.strip()
val2 = val2.strip()
if val1 in CRTFParser.valid_global_keys or val1 == 'label':
if val1 in ('range', 'corr', 'labeloff'):
val2 = val2.split(',')
val2 = [x.strip() for x in val2]
self.meta[val1] = val2
else:
self._raise_error("'{0}' is not a valid meta key".format(val1))
self.meta['include'] = self.include != '-'
self.include = self.meta['include']
if 'range' in self.meta:
self.meta['range'] = [u.Quantity(x) for x in self.meta['range']]
self.meta['type'] = self.type_ | python | def convert_meta(self):
if self.meta_str:
self.meta_str = regex_meta.findall(self.meta_str + ',')
if self.meta_str:
for par in self.meta_str:
if par[0] is not '':
val1 = par[0]
val2 = par[1]
else:
val1 = par[2]
val2 = par[3]
val1 = val1.strip()
val2 = val2.strip()
if val1 in CRTFParser.valid_global_keys or val1 == 'label':
if val1 in ('range', 'corr', 'labeloff'):
val2 = val2.split(',')
val2 = [x.strip() for x in val2]
self.meta[val1] = val2
else:
self._raise_error("'{0}' is not a valid meta key".format(val1))
self.meta['include'] = self.include != '-'
self.include = self.meta['include']
if 'range' in self.meta:
self.meta['range'] = [u.Quantity(x) for x in self.meta['range']]
self.meta['type'] = self.type_ | [
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251,691 | astropy/regions | regions/io/fits/write.py | fits_region_objects_to_table | def fits_region_objects_to_table(regions):
"""
Converts list of regions to FITS region table.
Parameters
----------
regions : list
List of `regions.Region` objects
Returns
-------
region_string : `~astropy.table.Table`
FITS region table
Examples
--------
>>> from regions import CirclePixelRegion, PixCoord
>>> reg_pixel = CirclePixelRegion(PixCoord(1, 2), 5)
>>> table = fits_region_objects_to_table([reg_pixel])
>>> print(table)
X [1] Y [1] SHAPE R [4] ROTANG COMPONENT
pix pix pix deg
----- ----- ------ ---------- ------ ---------
1.0 2.0 circle 5.0 .. 0.0 0 1
"""
for reg in regions:
if isinstance(reg, SkyRegion):
raise TypeError('Every region must be a pixel region'.format(reg))
shape_list = to_shape_list(regions, coordinate_system='image')
return shape_list.to_fits() | python | def fits_region_objects_to_table(regions):
for reg in regions:
if isinstance(reg, SkyRegion):
raise TypeError('Every region must be a pixel region'.format(reg))
shape_list = to_shape_list(regions, coordinate_system='image')
return shape_list.to_fits() | [
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Parameters
----------
regions : list
List of `regions.Region` objects
Returns
-------
region_string : `~astropy.table.Table`
FITS region table
Examples
--------
>>> from regions import CirclePixelRegion, PixCoord
>>> reg_pixel = CirclePixelRegion(PixCoord(1, 2), 5)
>>> table = fits_region_objects_to_table([reg_pixel])
>>> print(table)
X [1] Y [1] SHAPE R [4] ROTANG COMPONENT
pix pix pix deg
----- ----- ------ ---------- ------ ---------
1.0 2.0 circle 5.0 .. 0.0 0 1 | [
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251,692 | astropy/regions | regions/io/fits/write.py | write_fits_region | def write_fits_region(filename, regions, header=None):
"""
Converts list of regions to FITS region table and write to a file.
Parameters
----------
filename: str
Filename in which the table is to be written. Default is 'new.fits'
regions: list
List of `regions.Region` objects
header: `~astropy.io.fits.header.Header` object
The FITS header.
Examples
--------
>>> from astropy.utils.data import get_pkg_data_filename
>>> from astropy.io import fits
>>> file_sample = get_pkg_data_filename('data/fits_region.fits', package='regions.io.fits.tests')
>>> from regions import CirclePixelRegion, PixCoord, write_fits_region
>>> reg_pixel = CirclePixelRegion(PixCoord(1, 2), 5)
>>> hdul = fits.open(file_sample)
>>> write_fits_region('region_output.fits', regions=[reg_pixel], header=hdul[1].header)
"""
output = fits_region_objects_to_table(regions)
bin_table = fits.BinTableHDU(data=output, header=header)
bin_table.writeto(filename) | python | def write_fits_region(filename, regions, header=None):
output = fits_region_objects_to_table(regions)
bin_table = fits.BinTableHDU(data=output, header=header)
bin_table.writeto(filename) | [
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filename: str
Filename in which the table is to be written. Default is 'new.fits'
regions: list
List of `regions.Region` objects
header: `~astropy.io.fits.header.Header` object
The FITS header.
Examples
--------
>>> from astropy.utils.data import get_pkg_data_filename
>>> from astropy.io import fits
>>> file_sample = get_pkg_data_filename('data/fits_region.fits', package='regions.io.fits.tests')
>>> from regions import CirclePixelRegion, PixCoord, write_fits_region
>>> reg_pixel = CirclePixelRegion(PixCoord(1, 2), 5)
>>> hdul = fits.open(file_sample)
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251,693 | astropy/regions | regions/_utils/examples.py | make_example_dataset | def make_example_dataset(data='simulated', config=None):
"""Make example dataset.
This is a factory function for ``ExampleDataset`` objects.
The following config options are available (default values shown):
* ``crval = 0, 0``
* ``crpix = 180, 90``
* ``cdelt = -1, 1``
* ``shape = 180, 360``
* ``ctype = 'GLON-AIT', 'GLAT-AIT'``
Parameters
----------
data : {'simulated', 'fermi'}
Which dataset to use
config : dict or None
Configuration options
Returns
-------
dataset : ``ExampleDataset``
Example dataset object
Examples
--------
Make an example dataset:
>>> from regions import make_example_dataset
>>> config = dict(crpix=(18, 9), cdelt=(-10, 10), shape=(18, 36))
>>> dataset = make_example_dataset(data='simulated', config=config)
Access properties of the ``dataset`` object:
>>> dataset.source_table
>>> dataset.event_table
>>> ExampleDataset.wcs
>>> ExampleDataset.image
>>> ExampleDataset.hdu_list
"""
if data == 'simulated':
return ExampleDatasetSimulated(config=config)
elif data == 'fermi':
return ExampleDatasetFermi(config=config)
else:
raise ValueError('Invalid selection data: {}'.format(data)) | python | def make_example_dataset(data='simulated', config=None):
if data == 'simulated':
return ExampleDatasetSimulated(config=config)
elif data == 'fermi':
return ExampleDatasetFermi(config=config)
else:
raise ValueError('Invalid selection data: {}'.format(data)) | [
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This is a factory function for ``ExampleDataset`` objects.
The following config options are available (default values shown):
* ``crval = 0, 0``
* ``crpix = 180, 90``
* ``cdelt = -1, 1``
* ``shape = 180, 360``
* ``ctype = 'GLON-AIT', 'GLAT-AIT'``
Parameters
----------
data : {'simulated', 'fermi'}
Which dataset to use
config : dict or None
Configuration options
Returns
-------
dataset : ``ExampleDataset``
Example dataset object
Examples
--------
Make an example dataset:
>>> from regions import make_example_dataset
>>> config = dict(crpix=(18, 9), cdelt=(-10, 10), shape=(18, 36))
>>> dataset = make_example_dataset(data='simulated', config=config)
Access properties of the ``dataset`` object:
>>> dataset.source_table
>>> dataset.event_table
>>> ExampleDataset.wcs
>>> ExampleDataset.image
>>> ExampleDataset.hdu_list | [
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] | 452d962c417e4ff20d1268f99535c6ff89c83437 | https://github.com/astropy/regions/blob/452d962c417e4ff20d1268f99535c6ff89c83437/regions/_utils/examples.py#L17-L64 |
251,694 | astropy/regions | regions/_utils/examples.py | _table_to_bintable | def _table_to_bintable(table):
"""Convert `~astropy.table.Table` to `astropy.io.fits.BinTable`."""
data = table.as_array()
header = fits.Header()
header.update(table.meta)
name = table.meta.pop('name', None)
return fits.BinTableHDU(data, header, name=name) | python | def _table_to_bintable(table):
data = table.as_array()
header = fits.Header()
header.update(table.meta)
name = table.meta.pop('name', None)
return fits.BinTableHDU(data, header, name=name) | [
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251,695 | astropy/regions | regions/io/ds9/read.py | read_ds9 | def read_ds9(filename, errors='strict'):
"""
Read a DS9 region file in as a `list` of `~regions.Region` objects.
Parameters
----------
filename : `str`
The file path
errors : ``warn``, ``ignore``, ``strict``, optional
The error handling scheme to use for handling parsing errors.
The default is 'strict', which will raise a `~regions.DS9RegionParserError`.
``warn`` will raise a `~regions.DS9RegionParserWarning`, and
``ignore`` will do nothing (i.e., be silent).
Returns
-------
regions : `list`
Python list of `~regions.Region` objects.
Examples
--------
>>> from regions import read_ds9
>>> from astropy.utils.data import get_pkg_data_filename
>>> file = get_pkg_data_filename('data/physical_reference.reg', package='regions.io.ds9.tests')
>>> regs = read_ds9(file, errors='warn')
>>> print(regs[0])
Region: CirclePixelRegion
center: PixCoord(x=330.0, y=1090.0)
radius: 40.0
>>> print(regs[0].meta)
{'label': 'Circle', 'select': '1', 'highlite': '1', 'fixed': '0', 'edit': '1', 'move': '1', 'delete': '1', 'source': '1', 'tag': ['{foo}', '{foo bar}'], 'include': True}
>>> print(regs[0].visual)
{'dashlist': '8 3', 'dash': '0', 'color': 'pink', 'linewidth': '3', 'font': 'times', 'fontsize': '10', 'fontstyle': 'normal', 'fontweight': 'roman'}
"""
with open(filename) as fh:
region_string = fh.read()
parser = DS9Parser(region_string, errors=errors)
return parser.shapes.to_regions() | python | def read_ds9(filename, errors='strict'):
with open(filename) as fh:
region_string = fh.read()
parser = DS9Parser(region_string, errors=errors)
return parser.shapes.to_regions() | [
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Parameters
----------
filename : `str`
The file path
errors : ``warn``, ``ignore``, ``strict``, optional
The error handling scheme to use for handling parsing errors.
The default is 'strict', which will raise a `~regions.DS9RegionParserError`.
``warn`` will raise a `~regions.DS9RegionParserWarning`, and
``ignore`` will do nothing (i.e., be silent).
Returns
-------
regions : `list`
Python list of `~regions.Region` objects.
Examples
--------
>>> from regions import read_ds9
>>> from astropy.utils.data import get_pkg_data_filename
>>> file = get_pkg_data_filename('data/physical_reference.reg', package='regions.io.ds9.tests')
>>> regs = read_ds9(file, errors='warn')
>>> print(regs[0])
Region: CirclePixelRegion
center: PixCoord(x=330.0, y=1090.0)
radius: 40.0
>>> print(regs[0].meta)
{'label': 'Circle', 'select': '1', 'highlite': '1', 'fixed': '0', 'edit': '1', 'move': '1', 'delete': '1', 'source': '1', 'tag': ['{foo}', '{foo bar}'], 'include': True}
>>> print(regs[0].visual)
{'dashlist': '8 3', 'dash': '0', 'color': 'pink', 'linewidth': '3', 'font': 'times', 'fontsize': '10', 'fontstyle': 'normal', 'fontweight': 'roman'} | [
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] | 452d962c417e4ff20d1268f99535c6ff89c83437 | https://github.com/astropy/regions/blob/452d962c417e4ff20d1268f99535c6ff89c83437/regions/io/ds9/read.py#L38-L77 |
251,696 | astropy/regions | regions/io/ds9/read.py | DS9Parser.set_coordsys | def set_coordsys(self, coordsys):
"""
Transform coordinate system
# TODO: needs expert attention
"""
if coordsys in self.coordsys_mapping:
self.coordsys = self.coordsys_mapping[coordsys]
else:
self.coordsys = coordsys | python | def set_coordsys(self, coordsys):
if coordsys in self.coordsys_mapping:
self.coordsys = self.coordsys_mapping[coordsys]
else:
self.coordsys = coordsys | [
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# TODO: needs expert attention | [
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251,697 | astropy/regions | regions/io/ds9/read.py | DS9Parser.run | def run(self):
"""
Run all steps
"""
for line_ in self.region_string.split('\n'):
for line in line_.split(";"):
self.parse_line(line)
log.debug('Global state: {}'.format(self)) | python | def run(self):
for line_ in self.region_string.split('\n'):
for line in line_.split(";"):
self.parse_line(line)
log.debug('Global state: {}'.format(self)) | [
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251,698 | astropy/regions | regions/io/ds9/read.py | DS9Parser.parse_meta | def parse_meta(meta_str):
"""
Parse the metadata for a single ds9 region string.
Parameters
----------
meta_str : `str`
Meta string, the metadata is everything after the close-paren of the
region coordinate specification. All metadata is specified as
key=value pairs separated by whitespace, but sometimes the values
can also be whitespace separated.
Returns
-------
meta : `~collections.OrderedDict`
Dictionary containing the meta data
"""
keys_vals = [(x, y) for x, _, y in regex_meta.findall(meta_str.strip())]
extra_text = regex_meta.split(meta_str.strip())[-1]
result = OrderedDict()
for key, val in keys_vals:
# regex can include trailing whitespace or inverted commas
# remove it
val = val.strip().strip("'").strip('"')
if key == 'text':
val = val.lstrip("{").rstrip("}")
if key in result:
if key == 'tag':
result[key].append(val)
else:
raise ValueError("Duplicate key {0} found".format(key))
else:
if key == 'tag':
result[key] = [val]
else:
result[key] = val
if extra_text:
result['comment'] = extra_text
return result | python | def parse_meta(meta_str):
keys_vals = [(x, y) for x, _, y in regex_meta.findall(meta_str.strip())]
extra_text = regex_meta.split(meta_str.strip())[-1]
result = OrderedDict()
for key, val in keys_vals:
# regex can include trailing whitespace or inverted commas
# remove it
val = val.strip().strip("'").strip('"')
if key == 'text':
val = val.lstrip("{").rstrip("}")
if key in result:
if key == 'tag':
result[key].append(val)
else:
raise ValueError("Duplicate key {0} found".format(key))
else:
if key == 'tag':
result[key] = [val]
else:
result[key] = val
if extra_text:
result['comment'] = extra_text
return result | [
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Parameters
----------
meta_str : `str`
Meta string, the metadata is everything after the close-paren of the
region coordinate specification. All metadata is specified as
key=value pairs separated by whitespace, but sometimes the values
can also be whitespace separated.
Returns
-------
meta : `~collections.OrderedDict`
Dictionary containing the meta data | [
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251,699 | astropy/regions | regions/io/ds9/read.py | DS9Parser.parse_region | def parse_region(self, include, region_type, region_end, line):
"""
Extract a Shape from a region string
"""
if self.coordsys is None:
raise DS9RegionParserError("No coordinate system specified and a"
" region has been found.")
else:
helper = DS9RegionParser(coordsys=self.coordsys,
include=include,
region_type=region_type,
region_end=region_end,
global_meta=self.global_meta,
line=line)
helper.parse()
self.shapes.append(helper.shape) | python | def parse_region(self, include, region_type, region_end, line):
if self.coordsys is None:
raise DS9RegionParserError("No coordinate system specified and a"
" region has been found.")
else:
helper = DS9RegionParser(coordsys=self.coordsys,
include=include,
region_type=region_type,
region_end=region_end,
global_meta=self.global_meta,
line=line)
helper.parse()
self.shapes.append(helper.shape) | [
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Subsets and Splits