Extract Python function source text from the source code string
Suppose I have valid Python source code, as a string:
code_string = """
# A comment.
def foo(a, b):
return a + b
class Bar(object):
def __init__(self):
self.my_list = [
'a',
'b',
]
""".strip()
Objective: I would like to obtain the lines containing the source code of the function definitions, preserving whitespace. For the code string above, I would like to get the strings
def foo(a, b):
return a + b
and
def __init__(self):
self.my_list = [
'a',
'b',
]
Or, equivalently, I'd be happy to get the line numbers of functions in the code string: foo
spans lines 2-3, and __init__
spans lines 5-9.
Attempts
I can parse the code string into its AST:
code_ast = ast.parse(code_string)
And I can find the FunctionDef
nodes, e.g.:
function_def_nodes = [node for node in ast.walk(code_ast)
if isinstance(node, ast.FunctionDef)]
Each FunctionDef
node's lineno
attribute tells us the first line for that function. We can estimate the last line of that function with:
last_line = max(node.lineno for node in ast.walk(function_def_node)
if hasattr(node, 'lineno'))
but this doesn't work perfectly when the function ends with syntactic elements that don't show up as AST nodes, for instance the last ]
in __init__
.
I doubt there is an approach that only uses the AST, because the AST fundamentally does not have enough information in cases like __init__
.
I cannot use the inspect
module because that only works on "live objects" and I only have the Python code as a string. I cannot eval
the code because that's a huge security headache.
In theory I could write a parser for Python but that really seems like overkill.
A heuristic suggested in the comments is to use the leading whitespace of lines. However, that can break for strange but valid functions with weird indentation like:
def baz():
return [
1,
]
class Baz(object):
def hello(self, x):
return self.hello(
x - 1)
def my_type_annotated_function(
my_long_argument_name: SomeLongArgumentTypeName
) -> SomeLongReturnTypeName:
# This function's indentation isn't unusual at all.
pass
python
|
show 6 more comments
Suppose I have valid Python source code, as a string:
code_string = """
# A comment.
def foo(a, b):
return a + b
class Bar(object):
def __init__(self):
self.my_list = [
'a',
'b',
]
""".strip()
Objective: I would like to obtain the lines containing the source code of the function definitions, preserving whitespace. For the code string above, I would like to get the strings
def foo(a, b):
return a + b
and
def __init__(self):
self.my_list = [
'a',
'b',
]
Or, equivalently, I'd be happy to get the line numbers of functions in the code string: foo
spans lines 2-3, and __init__
spans lines 5-9.
Attempts
I can parse the code string into its AST:
code_ast = ast.parse(code_string)
And I can find the FunctionDef
nodes, e.g.:
function_def_nodes = [node for node in ast.walk(code_ast)
if isinstance(node, ast.FunctionDef)]
Each FunctionDef
node's lineno
attribute tells us the first line for that function. We can estimate the last line of that function with:
last_line = max(node.lineno for node in ast.walk(function_def_node)
if hasattr(node, 'lineno'))
but this doesn't work perfectly when the function ends with syntactic elements that don't show up as AST nodes, for instance the last ]
in __init__
.
I doubt there is an approach that only uses the AST, because the AST fundamentally does not have enough information in cases like __init__
.
I cannot use the inspect
module because that only works on "live objects" and I only have the Python code as a string. I cannot eval
the code because that's a huge security headache.
In theory I could write a parser for Python but that really seems like overkill.
A heuristic suggested in the comments is to use the leading whitespace of lines. However, that can break for strange but valid functions with weird indentation like:
def baz():
return [
1,
]
class Baz(object):
def hello(self, x):
return self.hello(
x - 1)
def my_type_annotated_function(
my_long_argument_name: SomeLongArgumentTypeName
) -> SomeLongReturnTypeName:
# This function's indentation isn't unusual at all.
pass
python
I suppose you could just iterate lines, and when one matches^(s*)defs.*$
, extract that matched group (the leading whitespace) and then consume the line and all subsequent lines thatstartWith(thatWhitespace)
– Blorgbeard
4 hours ago
You mean, extract all subsequent lines that start with strictly more than that whitespace? Or else you'd also extract the following functions defined at the same indentation level
– pkpnd
4 hours ago
Oops, yes. You get the idea, anyway.
– Blorgbeard
4 hours ago
Hmm, doesn't work if the function has weird indentation inside, for exampledef baz():n return [n1,n ]
– pkpnd
4 hours ago
Ah, I didn't even realise that was valid python. Looks like there's no simple text-processing method, then.
– Blorgbeard
4 hours ago
|
show 6 more comments
Suppose I have valid Python source code, as a string:
code_string = """
# A comment.
def foo(a, b):
return a + b
class Bar(object):
def __init__(self):
self.my_list = [
'a',
'b',
]
""".strip()
Objective: I would like to obtain the lines containing the source code of the function definitions, preserving whitespace. For the code string above, I would like to get the strings
def foo(a, b):
return a + b
and
def __init__(self):
self.my_list = [
'a',
'b',
]
Or, equivalently, I'd be happy to get the line numbers of functions in the code string: foo
spans lines 2-3, and __init__
spans lines 5-9.
Attempts
I can parse the code string into its AST:
code_ast = ast.parse(code_string)
And I can find the FunctionDef
nodes, e.g.:
function_def_nodes = [node for node in ast.walk(code_ast)
if isinstance(node, ast.FunctionDef)]
Each FunctionDef
node's lineno
attribute tells us the first line for that function. We can estimate the last line of that function with:
last_line = max(node.lineno for node in ast.walk(function_def_node)
if hasattr(node, 'lineno'))
but this doesn't work perfectly when the function ends with syntactic elements that don't show up as AST nodes, for instance the last ]
in __init__
.
I doubt there is an approach that only uses the AST, because the AST fundamentally does not have enough information in cases like __init__
.
I cannot use the inspect
module because that only works on "live objects" and I only have the Python code as a string. I cannot eval
the code because that's a huge security headache.
In theory I could write a parser for Python but that really seems like overkill.
A heuristic suggested in the comments is to use the leading whitespace of lines. However, that can break for strange but valid functions with weird indentation like:
def baz():
return [
1,
]
class Baz(object):
def hello(self, x):
return self.hello(
x - 1)
def my_type_annotated_function(
my_long_argument_name: SomeLongArgumentTypeName
) -> SomeLongReturnTypeName:
# This function's indentation isn't unusual at all.
pass
python
Suppose I have valid Python source code, as a string:
code_string = """
# A comment.
def foo(a, b):
return a + b
class Bar(object):
def __init__(self):
self.my_list = [
'a',
'b',
]
""".strip()
Objective: I would like to obtain the lines containing the source code of the function definitions, preserving whitespace. For the code string above, I would like to get the strings
def foo(a, b):
return a + b
and
def __init__(self):
self.my_list = [
'a',
'b',
]
Or, equivalently, I'd be happy to get the line numbers of functions in the code string: foo
spans lines 2-3, and __init__
spans lines 5-9.
Attempts
I can parse the code string into its AST:
code_ast = ast.parse(code_string)
And I can find the FunctionDef
nodes, e.g.:
function_def_nodes = [node for node in ast.walk(code_ast)
if isinstance(node, ast.FunctionDef)]
Each FunctionDef
node's lineno
attribute tells us the first line for that function. We can estimate the last line of that function with:
last_line = max(node.lineno for node in ast.walk(function_def_node)
if hasattr(node, 'lineno'))
but this doesn't work perfectly when the function ends with syntactic elements that don't show up as AST nodes, for instance the last ]
in __init__
.
I doubt there is an approach that only uses the AST, because the AST fundamentally does not have enough information in cases like __init__
.
I cannot use the inspect
module because that only works on "live objects" and I only have the Python code as a string. I cannot eval
the code because that's a huge security headache.
In theory I could write a parser for Python but that really seems like overkill.
A heuristic suggested in the comments is to use the leading whitespace of lines. However, that can break for strange but valid functions with weird indentation like:
def baz():
return [
1,
]
class Baz(object):
def hello(self, x):
return self.hello(
x - 1)
def my_type_annotated_function(
my_long_argument_name: SomeLongArgumentTypeName
) -> SomeLongReturnTypeName:
# This function's indentation isn't unusual at all.
pass
python
python
edited 3 hours ago
pkpnd
asked 5 hours ago
pkpndpkpnd
4,6211140
4,6211140
I suppose you could just iterate lines, and when one matches^(s*)defs.*$
, extract that matched group (the leading whitespace) and then consume the line and all subsequent lines thatstartWith(thatWhitespace)
– Blorgbeard
4 hours ago
You mean, extract all subsequent lines that start with strictly more than that whitespace? Or else you'd also extract the following functions defined at the same indentation level
– pkpnd
4 hours ago
Oops, yes. You get the idea, anyway.
– Blorgbeard
4 hours ago
Hmm, doesn't work if the function has weird indentation inside, for exampledef baz():n return [n1,n ]
– pkpnd
4 hours ago
Ah, I didn't even realise that was valid python. Looks like there's no simple text-processing method, then.
– Blorgbeard
4 hours ago
|
show 6 more comments
I suppose you could just iterate lines, and when one matches^(s*)defs.*$
, extract that matched group (the leading whitespace) and then consume the line and all subsequent lines thatstartWith(thatWhitespace)
– Blorgbeard
4 hours ago
You mean, extract all subsequent lines that start with strictly more than that whitespace? Or else you'd also extract the following functions defined at the same indentation level
– pkpnd
4 hours ago
Oops, yes. You get the idea, anyway.
– Blorgbeard
4 hours ago
Hmm, doesn't work if the function has weird indentation inside, for exampledef baz():n return [n1,n ]
– pkpnd
4 hours ago
Ah, I didn't even realise that was valid python. Looks like there's no simple text-processing method, then.
– Blorgbeard
4 hours ago
I suppose you could just iterate lines, and when one matches
^(s*)defs.*$
, extract that matched group (the leading whitespace) and then consume the line and all subsequent lines that startWith(thatWhitespace)
– Blorgbeard
4 hours ago
I suppose you could just iterate lines, and when one matches
^(s*)defs.*$
, extract that matched group (the leading whitespace) and then consume the line and all subsequent lines that startWith(thatWhitespace)
– Blorgbeard
4 hours ago
You mean, extract all subsequent lines that start with strictly more than that whitespace? Or else you'd also extract the following functions defined at the same indentation level
– pkpnd
4 hours ago
You mean, extract all subsequent lines that start with strictly more than that whitespace? Or else you'd also extract the following functions defined at the same indentation level
– pkpnd
4 hours ago
Oops, yes. You get the idea, anyway.
– Blorgbeard
4 hours ago
Oops, yes. You get the idea, anyway.
– Blorgbeard
4 hours ago
Hmm, doesn't work if the function has weird indentation inside, for example
def baz():n return [n1,n ]
– pkpnd
4 hours ago
Hmm, doesn't work if the function has weird indentation inside, for example
def baz():n return [n1,n ]
– pkpnd
4 hours ago
Ah, I didn't even realise that was valid python. Looks like there's no simple text-processing method, then.
– Blorgbeard
4 hours ago
Ah, I didn't even realise that was valid python. Looks like there's no simple text-processing method, then.
– Blorgbeard
4 hours ago
|
show 6 more comments
3 Answers
3
active
oldest
votes
A much more robust solution would be to use the tokenize
module. The following code can handle weird indentations, comments, multi-line tokens, single-line function blocks and empty lines within function blocks:
import tokenize
from io import BytesIO
from collections import deque
code_string = """
# A comment.
def foo(a, b):
return a + b
class Bar(object):
def __init__(self):
self.my_list = [
'a',
'b',
]
def test(self): pass
def abc(self):
'''multi-
line token'''
def baz():
return [
1,
]
class Baz(object):
def hello(self, x):
return self.hello(
x - 1)
def my_type_annotated_function(
my_long_argument_name: SomeLongArgumentTypeName
) -> SomeLongReturnTypeName:
# unmatched parenthesis: ( }
pass
""".strip()
file = BytesIO(code_string.encode())
tokens = deque(tokenize.tokenize(file.readline))
lines =
while tokens:
token = tokens.popleft()
if token.type == tokenize.NAME and token.string == 'def':
start_line, start_column = token.start
end_line, _ = token.end
enclosures = 0
while tokens:
token = tokens.popleft()
if token.type == tokenize.NL: # ignore empty lines
continue
if token.type == tokenize.OP and token.string in '([{':
enclosures += 1
_, column = token.start
if column <= start_column and token.type != tokenize.INDENT and not enclosures:
tokens.appendleft(token)
break
if token.type == tokenize.OP and token.string in ')]}':
enclosures -= 1
end_line, _ = token.end
lines.append((start_line, end_line))
print(lines)
This outputs:
[(2, 3), (6, 11), (13, 13), (14, 16), (18, 21), (24, 26), (28, 32)]
This looks promising. Are you sure it works for the "weird indentation" cases? I tried your code and it seems to break on all of the "weird indentation" functions I provided, extracting only the first part of each function.
– pkpnd
2 hours ago
Oops did not actually have any logic to handle weird indentation. Added now.
– blhsing
34 mins ago
This fails to handle line continuations. Looking for INDENT and DEDENT tokens (and checking for the single-logical-line case, where there is no INDENT) would probably be more robust.
– user2357112
15 mins ago
add a comment |
Rather than reinventing a parser, I would use python itself.
Basically I would use the compile() built-in function, which can check if a string is a valid python code by compiling it. I pass to it a string made of selected lines, starting from each def
to the farther line which does not fail to compile.
code_string = """
#A comment
def foo(a, b):
return a + b
def bir(a, b):
c = a + b
return c
class Bar(object):
def __init__(self):
self.my_list = [
'a',
'b',
]
def baz():
return [
1,
]
""".strip()
lines = code_string.split('n')
#looking for lines with 'def' keywords
defidxs = [e[0] for e in enumerate(lines) if 'def' in e[1]]
#getting the indentation of each 'def'
indents = {}
for i in defidxs:
ll = lines[i].split('def')
indents[i] = len(ll[0])
#extracting the strings
end = len(lines)-1
while end > 0:
if end < defidxs[-1]:
defidxs.pop()
try:
start = defidxs[-1]
except IndexError: #break if there are no more 'def'
break
#empty lines between functions will cause an error, let's remove them
if len(lines[end].strip()) == 0:
end = end -1
continue
try:
#fix lines removing indentation or compile will not compile
fixlines = [ll[indents[start]:] for ll in lines[start:end+1]] #remove indentation
body = 'n'.join(fixlines)
compile(body, '<string>', 'exec') #if it fails, throws an exception
print(body)
end = start #no need to parse less line if it succeed.
except:
pass
end = end -1
It is a bit nasty because of the except
clause without specific exceptions, which is usually not recommended, but there is no way to know what may cause compile
to fail, so I do not know how to avoid it.
This will prints
def baz():
return [
1,
]
def __init__(self):
self.my_list = [
'a',
'b',
]
def bir(a, b):
c = a + b
return c
def foo(a, b):
return a + b
Note that the functions are printed in reverse order than those they appear inside code_strings
This should handle even the weird indentation code, but I think it will fails if you have nested functions.
add a comment |
I think a small parser is in order to try and take into account this weird exceptions:
import re
code_string = """
# A comment.
def foo(a, b):
return a + b
class Bar(object):
def __init__(self):
self.my_list = [
'a',
'b',
]
def baz():
return [
1,
]
class Baz(object):
def hello(self, x):
return self.hello(
x - 1)
def my_type_annotated_function(
my_long_argument_name: SomeLongArgumentTypeName
) -> SomeLongReturnTypeName:
# This function's indentation isn't unusual at all.
pass
def test_multiline():
"""
asdasdada
sdadd
"""
pass
def test_comment(
a #)
):
return [a,
# ]
a]
def test_escaped_endline():
return "asdad
asdsad
asdas"
def test_nested():
return {():[,
{
}
]
}
""".strip()
code_string += 'n'
func_list=
func = ''
tab = ''
brackets = {'(':0, '[':0, '{':0}
close = {')':'(', ']':'[', '}':'{'}
string=''
tab_f=''
c_old=''
multiline=False
check=False
for line in code_string.split('n'):
tab = re.findall(r'^s*',line)[0]
if 'def ' in line and not func:
func += line + 'n'
tab_f = tab
check=True
if func:
if not check:
if sum(brackets.values()) == 0 and not string and not multiline:
if len(tab) <= len(tab_f):
func_list.append(func)
func=''
c_old=''
c_old2=''
continue
func += line + 'n'
check = False
for c in line:
if c == '#' and not string and not multiline:
break
if c_old != '\':
if c in ['"', "'"]:
if c_old2 == c_old == c == '"' and string != "'":
multiline = not multiline
string = ''
continue
if not multiline:
if c in string:
string = ''
else:
if not string:
string = c
if not string and not multiline:
if c in brackets:
brackets[c] += 1
if c in close:
b = close[c]
brackets[b] -= 1
c_old2=c_old
c_old=c
for f in func_list:
print('-'*40)
print(f)
output:
----------------------------------------
def foo(a, b):
return a + b
----------------------------------------
def __init__(self):
self.my_list = [
'a',
'b',
]
----------------------------------------
def baz():
return [
1,
]
----------------------------------------
def hello(self, x):
return self.hello(
x - 1)
----------------------------------------
def my_type_annotated_function(
my_long_argument_name: SomeLongArgumentTypeName
) -> SomeLongReturnTypeName:
# This function's indentation isn't unusual at all.
pass
----------------------------------------
def test_multiline():
"""
asdasdada
sdadd
"""
pass
----------------------------------------
def test_comment(
a #)
):
return [a,
# ]
a]
----------------------------------------
def test_escaped_endline():
return "asdad asdsad asdas"
----------------------------------------
def test_nested():
return {():[,
{
}
]
}
Writing a parser is hard. I haven't run your code but just by glancing at it, I think it fails for multiline strings (delimited with"""
) and escaped string delimiters, and it doesn't understand comments (which may contain stray brackets or string delimiters).
– pkpnd
2 hours ago
Please do try it i should've included cases including strings and open/close brackets should not count if inside a string. EDIT: the escaped delimiters are an exception i will include it
– Crivella
2 hours ago
You aren't checking for comments so there's no way you can tell if a close parenthesis should be counted or not (it shouldn't count if it's inside a comment).
– pkpnd
2 hours ago
1
Included both escaped characters and comments. Sorry i do tend to write parsers by starting simple and adding stuff as i find exception, not the best practice i realize
– Crivella
2 hours ago
add a comment |
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3 Answers
3
active
oldest
votes
3 Answers
3
active
oldest
votes
active
oldest
votes
active
oldest
votes
A much more robust solution would be to use the tokenize
module. The following code can handle weird indentations, comments, multi-line tokens, single-line function blocks and empty lines within function blocks:
import tokenize
from io import BytesIO
from collections import deque
code_string = """
# A comment.
def foo(a, b):
return a + b
class Bar(object):
def __init__(self):
self.my_list = [
'a',
'b',
]
def test(self): pass
def abc(self):
'''multi-
line token'''
def baz():
return [
1,
]
class Baz(object):
def hello(self, x):
return self.hello(
x - 1)
def my_type_annotated_function(
my_long_argument_name: SomeLongArgumentTypeName
) -> SomeLongReturnTypeName:
# unmatched parenthesis: ( }
pass
""".strip()
file = BytesIO(code_string.encode())
tokens = deque(tokenize.tokenize(file.readline))
lines =
while tokens:
token = tokens.popleft()
if token.type == tokenize.NAME and token.string == 'def':
start_line, start_column = token.start
end_line, _ = token.end
enclosures = 0
while tokens:
token = tokens.popleft()
if token.type == tokenize.NL: # ignore empty lines
continue
if token.type == tokenize.OP and token.string in '([{':
enclosures += 1
_, column = token.start
if column <= start_column and token.type != tokenize.INDENT and not enclosures:
tokens.appendleft(token)
break
if token.type == tokenize.OP and token.string in ')]}':
enclosures -= 1
end_line, _ = token.end
lines.append((start_line, end_line))
print(lines)
This outputs:
[(2, 3), (6, 11), (13, 13), (14, 16), (18, 21), (24, 26), (28, 32)]
This looks promising. Are you sure it works for the "weird indentation" cases? I tried your code and it seems to break on all of the "weird indentation" functions I provided, extracting only the first part of each function.
– pkpnd
2 hours ago
Oops did not actually have any logic to handle weird indentation. Added now.
– blhsing
34 mins ago
This fails to handle line continuations. Looking for INDENT and DEDENT tokens (and checking for the single-logical-line case, where there is no INDENT) would probably be more robust.
– user2357112
15 mins ago
add a comment |
A much more robust solution would be to use the tokenize
module. The following code can handle weird indentations, comments, multi-line tokens, single-line function blocks and empty lines within function blocks:
import tokenize
from io import BytesIO
from collections import deque
code_string = """
# A comment.
def foo(a, b):
return a + b
class Bar(object):
def __init__(self):
self.my_list = [
'a',
'b',
]
def test(self): pass
def abc(self):
'''multi-
line token'''
def baz():
return [
1,
]
class Baz(object):
def hello(self, x):
return self.hello(
x - 1)
def my_type_annotated_function(
my_long_argument_name: SomeLongArgumentTypeName
) -> SomeLongReturnTypeName:
# unmatched parenthesis: ( }
pass
""".strip()
file = BytesIO(code_string.encode())
tokens = deque(tokenize.tokenize(file.readline))
lines =
while tokens:
token = tokens.popleft()
if token.type == tokenize.NAME and token.string == 'def':
start_line, start_column = token.start
end_line, _ = token.end
enclosures = 0
while tokens:
token = tokens.popleft()
if token.type == tokenize.NL: # ignore empty lines
continue
if token.type == tokenize.OP and token.string in '([{':
enclosures += 1
_, column = token.start
if column <= start_column and token.type != tokenize.INDENT and not enclosures:
tokens.appendleft(token)
break
if token.type == tokenize.OP and token.string in ')]}':
enclosures -= 1
end_line, _ = token.end
lines.append((start_line, end_line))
print(lines)
This outputs:
[(2, 3), (6, 11), (13, 13), (14, 16), (18, 21), (24, 26), (28, 32)]
This looks promising. Are you sure it works for the "weird indentation" cases? I tried your code and it seems to break on all of the "weird indentation" functions I provided, extracting only the first part of each function.
– pkpnd
2 hours ago
Oops did not actually have any logic to handle weird indentation. Added now.
– blhsing
34 mins ago
This fails to handle line continuations. Looking for INDENT and DEDENT tokens (and checking for the single-logical-line case, where there is no INDENT) would probably be more robust.
– user2357112
15 mins ago
add a comment |
A much more robust solution would be to use the tokenize
module. The following code can handle weird indentations, comments, multi-line tokens, single-line function blocks and empty lines within function blocks:
import tokenize
from io import BytesIO
from collections import deque
code_string = """
# A comment.
def foo(a, b):
return a + b
class Bar(object):
def __init__(self):
self.my_list = [
'a',
'b',
]
def test(self): pass
def abc(self):
'''multi-
line token'''
def baz():
return [
1,
]
class Baz(object):
def hello(self, x):
return self.hello(
x - 1)
def my_type_annotated_function(
my_long_argument_name: SomeLongArgumentTypeName
) -> SomeLongReturnTypeName:
# unmatched parenthesis: ( }
pass
""".strip()
file = BytesIO(code_string.encode())
tokens = deque(tokenize.tokenize(file.readline))
lines =
while tokens:
token = tokens.popleft()
if token.type == tokenize.NAME and token.string == 'def':
start_line, start_column = token.start
end_line, _ = token.end
enclosures = 0
while tokens:
token = tokens.popleft()
if token.type == tokenize.NL: # ignore empty lines
continue
if token.type == tokenize.OP and token.string in '([{':
enclosures += 1
_, column = token.start
if column <= start_column and token.type != tokenize.INDENT and not enclosures:
tokens.appendleft(token)
break
if token.type == tokenize.OP and token.string in ')]}':
enclosures -= 1
end_line, _ = token.end
lines.append((start_line, end_line))
print(lines)
This outputs:
[(2, 3), (6, 11), (13, 13), (14, 16), (18, 21), (24, 26), (28, 32)]
A much more robust solution would be to use the tokenize
module. The following code can handle weird indentations, comments, multi-line tokens, single-line function blocks and empty lines within function blocks:
import tokenize
from io import BytesIO
from collections import deque
code_string = """
# A comment.
def foo(a, b):
return a + b
class Bar(object):
def __init__(self):
self.my_list = [
'a',
'b',
]
def test(self): pass
def abc(self):
'''multi-
line token'''
def baz():
return [
1,
]
class Baz(object):
def hello(self, x):
return self.hello(
x - 1)
def my_type_annotated_function(
my_long_argument_name: SomeLongArgumentTypeName
) -> SomeLongReturnTypeName:
# unmatched parenthesis: ( }
pass
""".strip()
file = BytesIO(code_string.encode())
tokens = deque(tokenize.tokenize(file.readline))
lines =
while tokens:
token = tokens.popleft()
if token.type == tokenize.NAME and token.string == 'def':
start_line, start_column = token.start
end_line, _ = token.end
enclosures = 0
while tokens:
token = tokens.popleft()
if token.type == tokenize.NL: # ignore empty lines
continue
if token.type == tokenize.OP and token.string in '([{':
enclosures += 1
_, column = token.start
if column <= start_column and token.type != tokenize.INDENT and not enclosures:
tokens.appendleft(token)
break
if token.type == tokenize.OP and token.string in ')]}':
enclosures -= 1
end_line, _ = token.end
lines.append((start_line, end_line))
print(lines)
This outputs:
[(2, 3), (6, 11), (13, 13), (14, 16), (18, 21), (24, 26), (28, 32)]
edited 26 mins ago
answered 2 hours ago
blhsingblhsing
29.9k41336
29.9k41336
This looks promising. Are you sure it works for the "weird indentation" cases? I tried your code and it seems to break on all of the "weird indentation" functions I provided, extracting only the first part of each function.
– pkpnd
2 hours ago
Oops did not actually have any logic to handle weird indentation. Added now.
– blhsing
34 mins ago
This fails to handle line continuations. Looking for INDENT and DEDENT tokens (and checking for the single-logical-line case, where there is no INDENT) would probably be more robust.
– user2357112
15 mins ago
add a comment |
This looks promising. Are you sure it works for the "weird indentation" cases? I tried your code and it seems to break on all of the "weird indentation" functions I provided, extracting only the first part of each function.
– pkpnd
2 hours ago
Oops did not actually have any logic to handle weird indentation. Added now.
– blhsing
34 mins ago
This fails to handle line continuations. Looking for INDENT and DEDENT tokens (and checking for the single-logical-line case, where there is no INDENT) would probably be more robust.
– user2357112
15 mins ago
This looks promising. Are you sure it works for the "weird indentation" cases? I tried your code and it seems to break on all of the "weird indentation" functions I provided, extracting only the first part of each function.
– pkpnd
2 hours ago
This looks promising. Are you sure it works for the "weird indentation" cases? I tried your code and it seems to break on all of the "weird indentation" functions I provided, extracting only the first part of each function.
– pkpnd
2 hours ago
Oops did not actually have any logic to handle weird indentation. Added now.
– blhsing
34 mins ago
Oops did not actually have any logic to handle weird indentation. Added now.
– blhsing
34 mins ago
This fails to handle line continuations. Looking for INDENT and DEDENT tokens (and checking for the single-logical-line case, where there is no INDENT) would probably be more robust.
– user2357112
15 mins ago
This fails to handle line continuations. Looking for INDENT and DEDENT tokens (and checking for the single-logical-line case, where there is no INDENT) would probably be more robust.
– user2357112
15 mins ago
add a comment |
Rather than reinventing a parser, I would use python itself.
Basically I would use the compile() built-in function, which can check if a string is a valid python code by compiling it. I pass to it a string made of selected lines, starting from each def
to the farther line which does not fail to compile.
code_string = """
#A comment
def foo(a, b):
return a + b
def bir(a, b):
c = a + b
return c
class Bar(object):
def __init__(self):
self.my_list = [
'a',
'b',
]
def baz():
return [
1,
]
""".strip()
lines = code_string.split('n')
#looking for lines with 'def' keywords
defidxs = [e[0] for e in enumerate(lines) if 'def' in e[1]]
#getting the indentation of each 'def'
indents = {}
for i in defidxs:
ll = lines[i].split('def')
indents[i] = len(ll[0])
#extracting the strings
end = len(lines)-1
while end > 0:
if end < defidxs[-1]:
defidxs.pop()
try:
start = defidxs[-1]
except IndexError: #break if there are no more 'def'
break
#empty lines between functions will cause an error, let's remove them
if len(lines[end].strip()) == 0:
end = end -1
continue
try:
#fix lines removing indentation or compile will not compile
fixlines = [ll[indents[start]:] for ll in lines[start:end+1]] #remove indentation
body = 'n'.join(fixlines)
compile(body, '<string>', 'exec') #if it fails, throws an exception
print(body)
end = start #no need to parse less line if it succeed.
except:
pass
end = end -1
It is a bit nasty because of the except
clause without specific exceptions, which is usually not recommended, but there is no way to know what may cause compile
to fail, so I do not know how to avoid it.
This will prints
def baz():
return [
1,
]
def __init__(self):
self.my_list = [
'a',
'b',
]
def bir(a, b):
c = a + b
return c
def foo(a, b):
return a + b
Note that the functions are printed in reverse order than those they appear inside code_strings
This should handle even the weird indentation code, but I think it will fails if you have nested functions.
add a comment |
Rather than reinventing a parser, I would use python itself.
Basically I would use the compile() built-in function, which can check if a string is a valid python code by compiling it. I pass to it a string made of selected lines, starting from each def
to the farther line which does not fail to compile.
code_string = """
#A comment
def foo(a, b):
return a + b
def bir(a, b):
c = a + b
return c
class Bar(object):
def __init__(self):
self.my_list = [
'a',
'b',
]
def baz():
return [
1,
]
""".strip()
lines = code_string.split('n')
#looking for lines with 'def' keywords
defidxs = [e[0] for e in enumerate(lines) if 'def' in e[1]]
#getting the indentation of each 'def'
indents = {}
for i in defidxs:
ll = lines[i].split('def')
indents[i] = len(ll[0])
#extracting the strings
end = len(lines)-1
while end > 0:
if end < defidxs[-1]:
defidxs.pop()
try:
start = defidxs[-1]
except IndexError: #break if there are no more 'def'
break
#empty lines between functions will cause an error, let's remove them
if len(lines[end].strip()) == 0:
end = end -1
continue
try:
#fix lines removing indentation or compile will not compile
fixlines = [ll[indents[start]:] for ll in lines[start:end+1]] #remove indentation
body = 'n'.join(fixlines)
compile(body, '<string>', 'exec') #if it fails, throws an exception
print(body)
end = start #no need to parse less line if it succeed.
except:
pass
end = end -1
It is a bit nasty because of the except
clause without specific exceptions, which is usually not recommended, but there is no way to know what may cause compile
to fail, so I do not know how to avoid it.
This will prints
def baz():
return [
1,
]
def __init__(self):
self.my_list = [
'a',
'b',
]
def bir(a, b):
c = a + b
return c
def foo(a, b):
return a + b
Note that the functions are printed in reverse order than those they appear inside code_strings
This should handle even the weird indentation code, but I think it will fails if you have nested functions.
add a comment |
Rather than reinventing a parser, I would use python itself.
Basically I would use the compile() built-in function, which can check if a string is a valid python code by compiling it. I pass to it a string made of selected lines, starting from each def
to the farther line which does not fail to compile.
code_string = """
#A comment
def foo(a, b):
return a + b
def bir(a, b):
c = a + b
return c
class Bar(object):
def __init__(self):
self.my_list = [
'a',
'b',
]
def baz():
return [
1,
]
""".strip()
lines = code_string.split('n')
#looking for lines with 'def' keywords
defidxs = [e[0] for e in enumerate(lines) if 'def' in e[1]]
#getting the indentation of each 'def'
indents = {}
for i in defidxs:
ll = lines[i].split('def')
indents[i] = len(ll[0])
#extracting the strings
end = len(lines)-1
while end > 0:
if end < defidxs[-1]:
defidxs.pop()
try:
start = defidxs[-1]
except IndexError: #break if there are no more 'def'
break
#empty lines between functions will cause an error, let's remove them
if len(lines[end].strip()) == 0:
end = end -1
continue
try:
#fix lines removing indentation or compile will not compile
fixlines = [ll[indents[start]:] for ll in lines[start:end+1]] #remove indentation
body = 'n'.join(fixlines)
compile(body, '<string>', 'exec') #if it fails, throws an exception
print(body)
end = start #no need to parse less line if it succeed.
except:
pass
end = end -1
It is a bit nasty because of the except
clause without specific exceptions, which is usually not recommended, but there is no way to know what may cause compile
to fail, so I do not know how to avoid it.
This will prints
def baz():
return [
1,
]
def __init__(self):
self.my_list = [
'a',
'b',
]
def bir(a, b):
c = a + b
return c
def foo(a, b):
return a + b
Note that the functions are printed in reverse order than those they appear inside code_strings
This should handle even the weird indentation code, but I think it will fails if you have nested functions.
Rather than reinventing a parser, I would use python itself.
Basically I would use the compile() built-in function, which can check if a string is a valid python code by compiling it. I pass to it a string made of selected lines, starting from each def
to the farther line which does not fail to compile.
code_string = """
#A comment
def foo(a, b):
return a + b
def bir(a, b):
c = a + b
return c
class Bar(object):
def __init__(self):
self.my_list = [
'a',
'b',
]
def baz():
return [
1,
]
""".strip()
lines = code_string.split('n')
#looking for lines with 'def' keywords
defidxs = [e[0] for e in enumerate(lines) if 'def' in e[1]]
#getting the indentation of each 'def'
indents = {}
for i in defidxs:
ll = lines[i].split('def')
indents[i] = len(ll[0])
#extracting the strings
end = len(lines)-1
while end > 0:
if end < defidxs[-1]:
defidxs.pop()
try:
start = defidxs[-1]
except IndexError: #break if there are no more 'def'
break
#empty lines between functions will cause an error, let's remove them
if len(lines[end].strip()) == 0:
end = end -1
continue
try:
#fix lines removing indentation or compile will not compile
fixlines = [ll[indents[start]:] for ll in lines[start:end+1]] #remove indentation
body = 'n'.join(fixlines)
compile(body, '<string>', 'exec') #if it fails, throws an exception
print(body)
end = start #no need to parse less line if it succeed.
except:
pass
end = end -1
It is a bit nasty because of the except
clause without specific exceptions, which is usually not recommended, but there is no way to know what may cause compile
to fail, so I do not know how to avoid it.
This will prints
def baz():
return [
1,
]
def __init__(self):
self.my_list = [
'a',
'b',
]
def bir(a, b):
c = a + b
return c
def foo(a, b):
return a + b
Note that the functions are printed in reverse order than those they appear inside code_strings
This should handle even the weird indentation code, but I think it will fails if you have nested functions.
answered 1 hour ago
ValentinoValentino
39929
39929
add a comment |
add a comment |
I think a small parser is in order to try and take into account this weird exceptions:
import re
code_string = """
# A comment.
def foo(a, b):
return a + b
class Bar(object):
def __init__(self):
self.my_list = [
'a',
'b',
]
def baz():
return [
1,
]
class Baz(object):
def hello(self, x):
return self.hello(
x - 1)
def my_type_annotated_function(
my_long_argument_name: SomeLongArgumentTypeName
) -> SomeLongReturnTypeName:
# This function's indentation isn't unusual at all.
pass
def test_multiline():
"""
asdasdada
sdadd
"""
pass
def test_comment(
a #)
):
return [a,
# ]
a]
def test_escaped_endline():
return "asdad
asdsad
asdas"
def test_nested():
return {():[,
{
}
]
}
""".strip()
code_string += 'n'
func_list=
func = ''
tab = ''
brackets = {'(':0, '[':0, '{':0}
close = {')':'(', ']':'[', '}':'{'}
string=''
tab_f=''
c_old=''
multiline=False
check=False
for line in code_string.split('n'):
tab = re.findall(r'^s*',line)[0]
if 'def ' in line and not func:
func += line + 'n'
tab_f = tab
check=True
if func:
if not check:
if sum(brackets.values()) == 0 and not string and not multiline:
if len(tab) <= len(tab_f):
func_list.append(func)
func=''
c_old=''
c_old2=''
continue
func += line + 'n'
check = False
for c in line:
if c == '#' and not string and not multiline:
break
if c_old != '\':
if c in ['"', "'"]:
if c_old2 == c_old == c == '"' and string != "'":
multiline = not multiline
string = ''
continue
if not multiline:
if c in string:
string = ''
else:
if not string:
string = c
if not string and not multiline:
if c in brackets:
brackets[c] += 1
if c in close:
b = close[c]
brackets[b] -= 1
c_old2=c_old
c_old=c
for f in func_list:
print('-'*40)
print(f)
output:
----------------------------------------
def foo(a, b):
return a + b
----------------------------------------
def __init__(self):
self.my_list = [
'a',
'b',
]
----------------------------------------
def baz():
return [
1,
]
----------------------------------------
def hello(self, x):
return self.hello(
x - 1)
----------------------------------------
def my_type_annotated_function(
my_long_argument_name: SomeLongArgumentTypeName
) -> SomeLongReturnTypeName:
# This function's indentation isn't unusual at all.
pass
----------------------------------------
def test_multiline():
"""
asdasdada
sdadd
"""
pass
----------------------------------------
def test_comment(
a #)
):
return [a,
# ]
a]
----------------------------------------
def test_escaped_endline():
return "asdad asdsad asdas"
----------------------------------------
def test_nested():
return {():[,
{
}
]
}
Writing a parser is hard. I haven't run your code but just by glancing at it, I think it fails for multiline strings (delimited with"""
) and escaped string delimiters, and it doesn't understand comments (which may contain stray brackets or string delimiters).
– pkpnd
2 hours ago
Please do try it i should've included cases including strings and open/close brackets should not count if inside a string. EDIT: the escaped delimiters are an exception i will include it
– Crivella
2 hours ago
You aren't checking for comments so there's no way you can tell if a close parenthesis should be counted or not (it shouldn't count if it's inside a comment).
– pkpnd
2 hours ago
1
Included both escaped characters and comments. Sorry i do tend to write parsers by starting simple and adding stuff as i find exception, not the best practice i realize
– Crivella
2 hours ago
add a comment |
I think a small parser is in order to try and take into account this weird exceptions:
import re
code_string = """
# A comment.
def foo(a, b):
return a + b
class Bar(object):
def __init__(self):
self.my_list = [
'a',
'b',
]
def baz():
return [
1,
]
class Baz(object):
def hello(self, x):
return self.hello(
x - 1)
def my_type_annotated_function(
my_long_argument_name: SomeLongArgumentTypeName
) -> SomeLongReturnTypeName:
# This function's indentation isn't unusual at all.
pass
def test_multiline():
"""
asdasdada
sdadd
"""
pass
def test_comment(
a #)
):
return [a,
# ]
a]
def test_escaped_endline():
return "asdad
asdsad
asdas"
def test_nested():
return {():[,
{
}
]
}
""".strip()
code_string += 'n'
func_list=
func = ''
tab = ''
brackets = {'(':0, '[':0, '{':0}
close = {')':'(', ']':'[', '}':'{'}
string=''
tab_f=''
c_old=''
multiline=False
check=False
for line in code_string.split('n'):
tab = re.findall(r'^s*',line)[0]
if 'def ' in line and not func:
func += line + 'n'
tab_f = tab
check=True
if func:
if not check:
if sum(brackets.values()) == 0 and not string and not multiline:
if len(tab) <= len(tab_f):
func_list.append(func)
func=''
c_old=''
c_old2=''
continue
func += line + 'n'
check = False
for c in line:
if c == '#' and not string and not multiline:
break
if c_old != '\':
if c in ['"', "'"]:
if c_old2 == c_old == c == '"' and string != "'":
multiline = not multiline
string = ''
continue
if not multiline:
if c in string:
string = ''
else:
if not string:
string = c
if not string and not multiline:
if c in brackets:
brackets[c] += 1
if c in close:
b = close[c]
brackets[b] -= 1
c_old2=c_old
c_old=c
for f in func_list:
print('-'*40)
print(f)
output:
----------------------------------------
def foo(a, b):
return a + b
----------------------------------------
def __init__(self):
self.my_list = [
'a',
'b',
]
----------------------------------------
def baz():
return [
1,
]
----------------------------------------
def hello(self, x):
return self.hello(
x - 1)
----------------------------------------
def my_type_annotated_function(
my_long_argument_name: SomeLongArgumentTypeName
) -> SomeLongReturnTypeName:
# This function's indentation isn't unusual at all.
pass
----------------------------------------
def test_multiline():
"""
asdasdada
sdadd
"""
pass
----------------------------------------
def test_comment(
a #)
):
return [a,
# ]
a]
----------------------------------------
def test_escaped_endline():
return "asdad asdsad asdas"
----------------------------------------
def test_nested():
return {():[,
{
}
]
}
Writing a parser is hard. I haven't run your code but just by glancing at it, I think it fails for multiline strings (delimited with"""
) and escaped string delimiters, and it doesn't understand comments (which may contain stray brackets or string delimiters).
– pkpnd
2 hours ago
Please do try it i should've included cases including strings and open/close brackets should not count if inside a string. EDIT: the escaped delimiters are an exception i will include it
– Crivella
2 hours ago
You aren't checking for comments so there's no way you can tell if a close parenthesis should be counted or not (it shouldn't count if it's inside a comment).
– pkpnd
2 hours ago
1
Included both escaped characters and comments. Sorry i do tend to write parsers by starting simple and adding stuff as i find exception, not the best practice i realize
– Crivella
2 hours ago
add a comment |
I think a small parser is in order to try and take into account this weird exceptions:
import re
code_string = """
# A comment.
def foo(a, b):
return a + b
class Bar(object):
def __init__(self):
self.my_list = [
'a',
'b',
]
def baz():
return [
1,
]
class Baz(object):
def hello(self, x):
return self.hello(
x - 1)
def my_type_annotated_function(
my_long_argument_name: SomeLongArgumentTypeName
) -> SomeLongReturnTypeName:
# This function's indentation isn't unusual at all.
pass
def test_multiline():
"""
asdasdada
sdadd
"""
pass
def test_comment(
a #)
):
return [a,
# ]
a]
def test_escaped_endline():
return "asdad
asdsad
asdas"
def test_nested():
return {():[,
{
}
]
}
""".strip()
code_string += 'n'
func_list=
func = ''
tab = ''
brackets = {'(':0, '[':0, '{':0}
close = {')':'(', ']':'[', '}':'{'}
string=''
tab_f=''
c_old=''
multiline=False
check=False
for line in code_string.split('n'):
tab = re.findall(r'^s*',line)[0]
if 'def ' in line and not func:
func += line + 'n'
tab_f = tab
check=True
if func:
if not check:
if sum(brackets.values()) == 0 and not string and not multiline:
if len(tab) <= len(tab_f):
func_list.append(func)
func=''
c_old=''
c_old2=''
continue
func += line + 'n'
check = False
for c in line:
if c == '#' and not string and not multiline:
break
if c_old != '\':
if c in ['"', "'"]:
if c_old2 == c_old == c == '"' and string != "'":
multiline = not multiline
string = ''
continue
if not multiline:
if c in string:
string = ''
else:
if not string:
string = c
if not string and not multiline:
if c in brackets:
brackets[c] += 1
if c in close:
b = close[c]
brackets[b] -= 1
c_old2=c_old
c_old=c
for f in func_list:
print('-'*40)
print(f)
output:
----------------------------------------
def foo(a, b):
return a + b
----------------------------------------
def __init__(self):
self.my_list = [
'a',
'b',
]
----------------------------------------
def baz():
return [
1,
]
----------------------------------------
def hello(self, x):
return self.hello(
x - 1)
----------------------------------------
def my_type_annotated_function(
my_long_argument_name: SomeLongArgumentTypeName
) -> SomeLongReturnTypeName:
# This function's indentation isn't unusual at all.
pass
----------------------------------------
def test_multiline():
"""
asdasdada
sdadd
"""
pass
----------------------------------------
def test_comment(
a #)
):
return [a,
# ]
a]
----------------------------------------
def test_escaped_endline():
return "asdad asdsad asdas"
----------------------------------------
def test_nested():
return {():[,
{
}
]
}
I think a small parser is in order to try and take into account this weird exceptions:
import re
code_string = """
# A comment.
def foo(a, b):
return a + b
class Bar(object):
def __init__(self):
self.my_list = [
'a',
'b',
]
def baz():
return [
1,
]
class Baz(object):
def hello(self, x):
return self.hello(
x - 1)
def my_type_annotated_function(
my_long_argument_name: SomeLongArgumentTypeName
) -> SomeLongReturnTypeName:
# This function's indentation isn't unusual at all.
pass
def test_multiline():
"""
asdasdada
sdadd
"""
pass
def test_comment(
a #)
):
return [a,
# ]
a]
def test_escaped_endline():
return "asdad
asdsad
asdas"
def test_nested():
return {():[,
{
}
]
}
""".strip()
code_string += 'n'
func_list=
func = ''
tab = ''
brackets = {'(':0, '[':0, '{':0}
close = {')':'(', ']':'[', '}':'{'}
string=''
tab_f=''
c_old=''
multiline=False
check=False
for line in code_string.split('n'):
tab = re.findall(r'^s*',line)[0]
if 'def ' in line and not func:
func += line + 'n'
tab_f = tab
check=True
if func:
if not check:
if sum(brackets.values()) == 0 and not string and not multiline:
if len(tab) <= len(tab_f):
func_list.append(func)
func=''
c_old=''
c_old2=''
continue
func += line + 'n'
check = False
for c in line:
if c == '#' and not string and not multiline:
break
if c_old != '\':
if c in ['"', "'"]:
if c_old2 == c_old == c == '"' and string != "'":
multiline = not multiline
string = ''
continue
if not multiline:
if c in string:
string = ''
else:
if not string:
string = c
if not string and not multiline:
if c in brackets:
brackets[c] += 1
if c in close:
b = close[c]
brackets[b] -= 1
c_old2=c_old
c_old=c
for f in func_list:
print('-'*40)
print(f)
output:
----------------------------------------
def foo(a, b):
return a + b
----------------------------------------
def __init__(self):
self.my_list = [
'a',
'b',
]
----------------------------------------
def baz():
return [
1,
]
----------------------------------------
def hello(self, x):
return self.hello(
x - 1)
----------------------------------------
def my_type_annotated_function(
my_long_argument_name: SomeLongArgumentTypeName
) -> SomeLongReturnTypeName:
# This function's indentation isn't unusual at all.
pass
----------------------------------------
def test_multiline():
"""
asdasdada
sdadd
"""
pass
----------------------------------------
def test_comment(
a #)
):
return [a,
# ]
a]
----------------------------------------
def test_escaped_endline():
return "asdad asdsad asdas"
----------------------------------------
def test_nested():
return {():[,
{
}
]
}
edited 1 hour ago
answered 2 hours ago
CrivellaCrivella
33627
33627
Writing a parser is hard. I haven't run your code but just by glancing at it, I think it fails for multiline strings (delimited with"""
) and escaped string delimiters, and it doesn't understand comments (which may contain stray brackets or string delimiters).
– pkpnd
2 hours ago
Please do try it i should've included cases including strings and open/close brackets should not count if inside a string. EDIT: the escaped delimiters are an exception i will include it
– Crivella
2 hours ago
You aren't checking for comments so there's no way you can tell if a close parenthesis should be counted or not (it shouldn't count if it's inside a comment).
– pkpnd
2 hours ago
1
Included both escaped characters and comments. Sorry i do tend to write parsers by starting simple and adding stuff as i find exception, not the best practice i realize
– Crivella
2 hours ago
add a comment |
Writing a parser is hard. I haven't run your code but just by glancing at it, I think it fails for multiline strings (delimited with"""
) and escaped string delimiters, and it doesn't understand comments (which may contain stray brackets or string delimiters).
– pkpnd
2 hours ago
Please do try it i should've included cases including strings and open/close brackets should not count if inside a string. EDIT: the escaped delimiters are an exception i will include it
– Crivella
2 hours ago
You aren't checking for comments so there's no way you can tell if a close parenthesis should be counted or not (it shouldn't count if it's inside a comment).
– pkpnd
2 hours ago
1
Included both escaped characters and comments. Sorry i do tend to write parsers by starting simple and adding stuff as i find exception, not the best practice i realize
– Crivella
2 hours ago
Writing a parser is hard. I haven't run your code but just by glancing at it, I think it fails for multiline strings (delimited with
"""
) and escaped string delimiters, and it doesn't understand comments (which may contain stray brackets or string delimiters).– pkpnd
2 hours ago
Writing a parser is hard. I haven't run your code but just by glancing at it, I think it fails for multiline strings (delimited with
"""
) and escaped string delimiters, and it doesn't understand comments (which may contain stray brackets or string delimiters).– pkpnd
2 hours ago
Please do try it i should've included cases including strings and open/close brackets should not count if inside a string. EDIT: the escaped delimiters are an exception i will include it
– Crivella
2 hours ago
Please do try it i should've included cases including strings and open/close brackets should not count if inside a string. EDIT: the escaped delimiters are an exception i will include it
– Crivella
2 hours ago
You aren't checking for comments so there's no way you can tell if a close parenthesis should be counted or not (it shouldn't count if it's inside a comment).
– pkpnd
2 hours ago
You aren't checking for comments so there's no way you can tell if a close parenthesis should be counted or not (it shouldn't count if it's inside a comment).
– pkpnd
2 hours ago
1
1
Included both escaped characters and comments. Sorry i do tend to write parsers by starting simple and adding stuff as i find exception, not the best practice i realize
– Crivella
2 hours ago
Included both escaped characters and comments. Sorry i do tend to write parsers by starting simple and adding stuff as i find exception, not the best practice i realize
– Crivella
2 hours ago
add a comment |
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I suppose you could just iterate lines, and when one matches
^(s*)defs.*$
, extract that matched group (the leading whitespace) and then consume the line and all subsequent lines thatstartWith(thatWhitespace)
– Blorgbeard
4 hours ago
You mean, extract all subsequent lines that start with strictly more than that whitespace? Or else you'd also extract the following functions defined at the same indentation level
– pkpnd
4 hours ago
Oops, yes. You get the idea, anyway.
– Blorgbeard
4 hours ago
Hmm, doesn't work if the function has weird indentation inside, for example
def baz():n return [n1,n ]
– pkpnd
4 hours ago
Ah, I didn't even realise that was valid python. Looks like there's no simple text-processing method, then.
– Blorgbeard
4 hours ago