Overview of Pena Sport FC
Pena Sport FC is a professional football team based in the heart of Portugal. Competing in the Portuguese Primeira Liga, the club was founded in 1921 and is currently managed by Coach João Silva. Known for its dynamic play and passionate fanbase, Pena Sport FC has become a significant contender in European football.
Team History and Achievements
Pena Sport FC boasts a rich history with several notable achievements. The team has won the Portuguese Cup twice and finished as league runners-up on four occasions. Their most successful season was in 1987 when they secured second place in the league, narrowly missing out on the title.
Current Squad and Key Players
The current squad features several standout players, including star forward Ricardo Santos and defensive stalwart Miguel Costa. Key players like midfielder João Pereira have been instrumental in recent performances.
Team Playing Style and Tactics
Pena Sport FC typically employs a 4-3-3 formation, focusing on high pressing and quick transitions. Their strengths lie in their attacking prowess and solid defense, although they occasionally struggle against teams with strong aerial attacks.
Interesting Facts and Unique Traits
The team is affectionately known as “Os Leões” (The Lions) due to their fierce playing style. They have a dedicated fanbase known for their vibrant support at home games. Rivalries with Porto and Benfica are particularly intense, adding excitement to league matches.
Lists & Rankings of Players, Stats, or Performance Metrics
- Ricardo Santos: Top scorer this season (✅)
- Miguel Costa: Most tackles per game (🎰)
- João Pereira: Highest assists (💡)
Comparisons with Other Teams in the League
Pena Sport FC often compares favorably against mid-table teams due to their consistent performances. However, they face challenges against top-tier teams like Porto and Sporting Lisbon.
Case Studies or Notable Matches
A breakthrough game for Pena Sport FC was their stunning 3-0 victory over Porto last season, which showcased their tactical flexibility and offensive strength.
Tables Summarizing Team Stats
| Statistic | Last Season | This Season |
|---|---|---|
| Total Goals Scored | 45 | 52 |
| Total Goals Conceded | 38 | 33 |
| Last Five Matches Form | D-W-L-W-W |
Tips & Recommendations for Betting Analysis
- Analyze head-to-head records against upcoming opponents for better betting insights.
- Closely monitor player injuries that could impact team performance.
- Leverage recent form trends to predict outcomes of future matches.
Frequently Asked Questions (FAQs)
What is Pena Sport FC’s current league position?
Pena Sport FC currently sits in fourth place in the Portuguese Primeira Liga standings.
Who are Pena Sport FC’s main rivals?
Their main rivals are Porto and Benfica, with whom they share intense competition both on and off the pitch.
How can I analyze Pena Sport FC’s betting potential?
To analyze their betting potential, consider factors such as recent form, head-to-head records, player availability, and tactical matchups against upcoming opponents.
Bet on Pena Sport FC now at Betwhale!
Pros & Cons of the Team’s Current Form or Performance
- ✅ Strong attacking lineup capable of scoring multiple goals per match.
- ❌ Inconsistency against top-tier teams may affect overall performance.
Betting Insights: Step-by-Step Guide to Understanding Pena Sport FC’s Potential
[0]: #!/usr/bin/env python
[1]: # -*- coding: utf-8 -*-
[2]: import os
[3]: import re
[4]: import sys
[5]: from setuptools import setup
[6]: def get_version():
[7]: version_re = re.compile(r”^__version__s*=s*[“‘]([^'”]*)[‘”]”)
[8]: init_py = os.path.join(os.path.dirname(__file__), ‘pylatexenc’, ‘__init__.py’)
[9]: try:
[10]: init_py_contents = open(init_py).read()
[11]: except IOError:
[12]: raise RuntimeError(“Unable to find pyLaTeXenc module.”)
[13]: m = version_re.search(init_py_contents)
[14]: if not m:
[15]: raise RuntimeError(“Unable to find version string.”)
[16]: return m.group(1)
[17]: def get_description():
[18]: “””Get description from README.md”””
[19]: readme_path = os.path.join(os.path.dirname(__file__), ‘README.md’)
[20]: if not os.path.exists(readme_path):
[21]: return ”
[22]: f = open(readme_path)
VERSION=get_version()
DESCRIPTION=get_description()
setup(
name=’pylatexenc’,
version=VERSION,
author=’Martin Roelfs’,
author_email=’[email protected]’,
url=’https://github.com/martin-roelfs/pylatexenc’,
description=DESCRIPTION,
long_description=DESCRIPTION,
classifiers=[
‘Development Status :: 5 – Production/Stable’,
‘Intended Audience :: Developers’,
‘License :: OSI Approved :: BSD License’,
‘Programming Language :: Python’,
],
packages=[
‘pylatexenc’
],
keywords=[‘LaTeX’, ‘Python’],
ext_modules=[],
extras_require={
‘test’: [
‘pytest>=6,<7'
]
},
include_package_data=True,
test_suite='tests'
)
os.system('git tag -a v%s -m "Version %s"' % (VERSION, VERSION))
os.system('git push –tags')
***** Tag Data *****
ID: Function that extracts version number from file using regex
start line: 6
end line: 16
dependencies:
– type: Function
name: get_version
start line: 6
end line: 16
context description: This function reads a specific file ('__init__.py') within a
given directory structure ('pylatexenc'), extracts the version number using regular
expressions (regex), handles possible IOErrors during file reading.
algorithmic depth: 4
algorithmic depth external: N
obscurity: 4
advanced coding concepts: 4
interesting for students: 5
self contained: Y
*************
## Suggestions for complexity
1. **Dynamic Module Path**: Modify `get_version` so that it can dynamically accept different module paths instead of hardcoding `'pylatexenc'`. This would involve passing additional arguments or reading configurations.
2. **Regex Optimization**: Enhance the regex pattern to handle more complex scenarios such as multi-line strings or different formatting styles within `__init__.py`.
3. **Version Validation**: Implement additional logic to validate that the extracted version string follows semantic versioning rules.
4. **Error Handling Enhancement**: Improve error handling by creating custom exception classes instead of using generic `RuntimeError`, making debugging easier.
5. **File Caching Mechanism**: Introduce a caching mechanism to avoid reading from disk every time `get_version` is called if the file contents haven't changed.
## Conversation
: I need help with this code [SNIPPET]. Can you make it accept any module path?
: Sure! We can modify `get_version` to accept an additional argument for the module path:
python
def get_version(module_path=’pylatexenc’):
version_re = re.compile(r”^__version__s*=s*[“‘]([^'”]*)[‘”]”)
init_py = os.path.join(os.path.dirname(__file__), module_path, ‘__init__.py’)
try:
init_py_contents = open(init_py).read()
except IOError:
raise RuntimeError(“Unable to find pyLaTeXenc module.”)
m = version_re.search(init_py_contents)
if not m:
raise RuntimeError(“Unable to find version string.”)
return m.group(1)
Now you can call `get_version(‘some_other_module’)`.
: Nice! Now how about making sure it follows semantic versioning? Like major.minor.patch format.
: We can add a validation step after extracting the version string:
python
import re
def get_version(module_path=’pylatexenc’):
semver_re = re.compile(r”^(0|[1-9]d*).(0|[1-9]d*).(0|[1-9]d*)(?:-[da-z-]+(?:.[da-z-]+)*)?(?:+[da-z-]+(?:.[da-z-]+)*)?$”)
version_re = re.compile(r”^__version__s*=s*[“‘]([^'”]*)[‘”]”)
init_py = os.path.join(os.path.dirname(__file__), module_path, ‘__init__.py’)
try:
init_py_contents = open(init_py).read()
except IOError:
raise RuntimeError(“Unable to find pyLaTeXenc module.”)
m = version_re.search(init_py_contents)
if not m:
raise RuntimeError(“Unable to find version string.”)
version_str = m.group(1)
if not semver_re.match(version_str):
raise ValueError(f”Version {version_str} does not follow semantic versioning.”)
return version_str
This will ensure that only versions following semantic versioning are accepted.
: Cool! What about custom exceptions instead of RuntimeError? Make them more descriptive.
: Let’s define some custom exception classes first:
python
class VersionNotFoundError(RuntimeError):
pass
class ModuleNotFoundError(RuntimeError):
pass
class InvalidVersionFormat(ValueError):
pass
Then update `get_version`:
python
def get_version(module_path=’pylatexenc’):
semver_re = re.compile(r”^(0|[1-9]d*).(0|[1-9]d*).(0|[1-9]d*)(?:-[da-z-]+(?:.[da-z-]+)*)?(?:+[da-z-]+(?:.[da-z-]+)*)?$”)
version_re = re.compile(r”^__version__s*=s*[“‘]([^'”]*)[‘”]”)
init_py = os.path.join(os.path.dirname(__file__), module_path, ‘__init__.py’)
try:
init_py_contents = open(init_py).read()
except IOError:
raise ModuleNotFoundError(f”Unable to find {module_path} module.”)
m = version_re.search(init_py_contents)
if not m:
raise VersionNotFoundError(f”Unable to find version string in {module_path}.”)
version_str = m.group(1)
if not semver_re.match(version_str):
raise InvalidVersionFormat(f”Version {version_str} does not follow semantic versioning.”)
return version_str
This provides more descriptive error messages.
1] == “int”:
argTypeList[i] += “*”
elif argTypes[i + j + self.argCountOffset + self.funcNameLen + self.retTypeLen + self.paramStartLen] == “void”:
argTypeList[i] += ” ”
else:
argTypeList[i] += argTypes[i + j + self.argCountOffset + self.funcNameLen + self.retTypeLen + self.paramStartLen]
j += len(argTypes[i + j])
i += len(argTypes[i]) + len(argNames[i]) + len(argTypes[i]) * int(i != len(argNames) –
self.argCountOffset –
self.funcNameLen –
self.retTypeLen –
self.paramStartLen)
funcDeclrLineNo += funcDeclrLineNo * (
funcDeclrLineNo > MAX_LINE_LENGTH_BEFORE_WRAP)
print >>self.outFileHdlr,
“%spython %spassn”%(funcDeclrLineNo * “t”, indentLevel * “t”),
“%spython %sexcept Exception:n”%(funcDeclrLineNo * “t”, indentLevel * “t”),
“%spython %shandlern”%(funcDeclrLineNo * “t”, indentLevel * “t”),
“%spython %shandler.%scall(*args)n”%(funcDeclrLineNo * “t”, indentLevel * “t”, funcPrefix),
“%spython %shandler.%sreraise()nn”%(funcDeclrLineNo * “t”, indentLevel * “t”)
if __name__ == “__main__”:
print “””
Usage : ./gen_wrapper.py [options]
Options :
-h –help : Display help message.
-o outfile : Output file name.
-v : Verbose mode.
“””
from optparse import OptionParser
parser=OptionParser()
parser.add_option(“-o”,”–output”,
action=”store”,
dest=”outfile”,
type=”string”,
help=”Output filename.”,
default=None)
parser.add_option(“-v”,”–verbose”,
action=”store_true”,
dest=”verbose”,
default=False,
help=”Verbose mode.”)
options,args=parser.parse_args()
if options.verbose :
print options,outargs
if options.outfile :
wrapperGen=options.outfile+”.cpp”
else :
wrapperGen=sys.argv[-1]+”_wrapper.cpp”
genWrapper(wrapperGen)
***** Tag Data *****
ID: 4
description: Generates function declarations dynamically based on parsed types.
start line: 42
end line: ~60ish depending on context continuation lines.
dependencies:
– type: Method/Function/Class/Other Code Block/…
start line: …
end line …
context description: This snippet constructs function declarations dynamically based
on previously parsed types stored in lists like retTypes[], funcNames[], etc., applying
various transformations depending on type information.
algorithmic depth: ~4 complexity due to nested loops conditional logic; advanced text/string manipulation.
algorithmic depth external: N/n/a depends heavily on how types are parsed/stored beforehand.
obscurity ~4 moderately obscure; involves dynamic generation based on prior parsing steps which may be complex themselves.
advanced coding concepts ~4 involving advanced text manipulation techniques combined with dynamic programming paradigms.
************
## Challenging Aspects
### Challenging aspects in above code:
#### Dynamic String Construction Based on Conditional Logic:
The provided snippet constructs function declarations dynamically based on various conditions derived from input lists (`retTypes`, `argNames`, etc.). Students must carefully manage these conditions while ensuring that each transformation adheres strictly to predefined rules.
#### Nested Loops with Multiple Index Variables:
The snippet uses nested loops where multiple index variables (`i`, `j`) interact closely with each other across different lists (`retTypes`, `argNames`, etc.). Managing these indices accurately without causing off-by-one errors or infinite loops adds significant complexity.
#### Handling Edge Cases Explicitly:
There are explicit checks for edge cases such as empty argument names (`if i != len(argNames)-self.argCountOffset-self.funcNameLen-self.retTypeLen-self.paramStartLen:`). Students must understand these edge cases thoroughly while extending functionality.
#### Indentation Management for Code Generation:
Generating correctly indented code dynamically requires careful management of indentation levels throughout nested structures. Mismanagement here could lead to syntactically incorrect output.
### Extension:
#### Additional Type Transformations Based on New Rules:
Extend type transformations beyond basic ones like adding pointers (`*`) or spaces (`void`). For example, introduce new rules like array types (`[]`) or references (`&`).
#### Enhanced Error Handling Mechanisms:
Implement sophisticated error handling mechanisms that provide detailed diagnostic messages when parsing fails due to unexpected input formats.
#### Support for Overloaded Functions With Different Signatures:
Extend functionality so it supports overloaded functions by generating unique signatures while maintaining clarity between different versions.
## Exercise:
### Problem Statement:
You are required to extend an existing code generation system that constructs function declarations dynamically based on input lists containing return types, function names, argument names/types etc., similar but more advanced than what is shown in [SNIPPET].
Your task involves implementing additional functionalities as specified below while maintaining existing functionalities intact:
### Requirements:
#### Part A – Extended Type Transformations:
Enhance type transformations by introducing support for array types denoted by square brackets `[ ]`. Specifically,
* If an argument type ends with `[N]`, transform it into an array declaration where N is replaced by an appropriate integer value (e.g., `[10]` becomes `array_of_size_10`).
* If an argument type ends with `[ ]`, treat it as an unspecified-size array denoted by appending `_array`.
#### Part B – Error Handling Mechanisms:
Implement robust error handling mechanisms which provide detailed diagnostic messages when encountering unexpected input formats such as malformed types or mismatched lengths among input lists.
#### Part C – Overloaded Functions Support:
Extend functionality so it supports overloaded functions by generating unique signatures even when functions have identical names but different parameter lists/types.
### Input Specifications:
You will receive five lists representing return types (`retTypes`), function names (`funcNames`), argument counts per function (`argCounts`), argument names per function grouped together (`argNamesGrouped`), argument types grouped together (`argTypesGrouped`). Additionally assume constants like `MAX_LINE_LENGTH_BEFORE_WRAP`.
### Output Specifications:
Your program should output generated C++ code snippets according to specified rules while incorporating extensions mentioned above.
## Solution:
python
# Constants assumed given elsewhere…
MAX_LINE_LENGTH_BEFORE_WRAP=80 # Example value; adjust accordingly…
# Sample Inputs assumed given elsewhere…
retTypes=[“int”, “void”]
funcNames=[“foo”, “bar”]
argCounts=[[“”], [“int”], [“float”]]
argNamesGrouped=[[“x”], [“y”], [“z”]]
argTypesGrouped=[[“int”], [“float”], [“double”]]
# Define your class here…
class CodeGenerator(object):
def __init__(self):
self.indentLevel=0
def __call__(self):
funcDeclrLines=[]
for i,(retType,name,argCount,argNames,argTypes)in enumerate(zip(retTypes[:-len(retTypes)/len(funcNames)],
funcNames[:-len(retTypes)/len(funcNames)],
argCounts[:-len(retTypes)/len(funcNames)],
argNamesGrouped[:-len(retTypes)/len(funcNames)],
argTypesGrouped[:-len(retTypes)/len(funcNames)])):
j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z=range(26)
funcPrefix=name[:name.find(“(“)]
argTypeList=[None]*int(argCount!=””)
j=k=l=m=n=o=p=q=r=s=t=u=v=w=x=y=z=A=B=C=D=E=F=G=0
while k<len(argNames):
argName=str(argNames[k+j])
if l<len(argName):
argTypeList[m]+=str(argName[l])
l+=1
elif argName==""and k==int(len(argNames)-self.argCountOffset-self.funcNameLen-self.retTypeLen-self.paramStartLen):
break
else:l=k=j=m=n=o=p=q=r=s=t=u=v=w=x=y=z=A=B=C=D=E=F=G=0
if l<len(argName):continue
m+=1
if argName==""and k!=int(len(argNames)-self.argCountOffset-self.funcNameLen-self.retTypeLen-self.paramStartLen):k+=1
else:k+=len(str(argName))+int(k!=int(len(argNames)-self.argCountOffset-self.funcNameLen-self.retTypeLen-self.paramStartLen))
while n<len(str(argTypes[k+j])):
if o<len(str(retType)):
argTypeList[m]+=str(retType[o])
o+=1
elif p<len(str(name)):
argTypeList[m]+=str(name[p])
p+=q+q;q+=int(p!=len(str(name)))
elif q<len(str(argCounts[k])):
argTypeList[m]+=str(argCounts[k][q])
q+=r+q;r+=int(q!=len(str(argCounts[k])))
elif r<len(str(argNames[k])):
argTypeList[m]+=str(argNames[k][r])
r+=s+q;s+=int(r!=len(str(argNames[k])))
elif s<len(str(args)):
argTypeList[m]+=str(args[s])
s+=t+s;t+=int(s!=len(str(args)))
elif t<len(str(funcPrefix)):
argTypeList[m]+=str(funcPrefix[t])
t+=u+t;u+=int(t!=len(str(funcPrefix)))
elif u<len(str(l)):
argTypeList[m]+=str(l)[u]
u+=v+u;v+=int(u!=len(str(l)))
else:n=l=k=j=m=n=o=p=q=r=s=t=u=v=w=x=y=z=A=B=C=D=E=F=G=0
if n=size_index:len(size)=str(argument_type)[-n];
else:size=”_array”;
arg_type_list[m]=size;
else:n=l=k=j=m=n=o=p=q=r=s=t=u=v=w=x=y=z=A=B=C=D=E=F=G=0;
if n>=l:len(n)=str(argument_type)[-n];
else:n=len(n);
j+=(n+len(str(args)))+((j!=l)*((j!=l)*((j!=l)*(j!=(m+n)))))
for z,arg_name_in_func_call,arg_type_in_func_call in enumerate(zip(*filter(lambda x:len(x)!=0,(zip(*map(lambda y:[y[x]for x,_ in enumerate(y)],(argNameFuncCall,[None]*max(map(len,argNameFuncCall))),argTypFuncCall)))))):
i=z%max(map(len,argTypFuncCall))
j=z/max(map(len,argTypFuncCall))
while k<len(re.findall("^"+re.escape(re.sub("W","\\$&",re.sub("A([^w])","",re.sub("Z([^w])","g”,arg_name_in_func_call))),re.escape(“\”)),”.*?”),re.DOTALL)[-z%max(map(len,re.findall(“^”+re.escape(re.sub(“W”,”\\$&”,re.sub(“A([^w])”,””,re.sub(“Z([^w])”,”g”,arg_name_in_func_call))),re.escape(“\”)),”.*?”,re.DOTALL)))]):
if l<len(re.findall("^"+re.escape(re.sub("W","\\$&",re.sub("A([^w])","",re.sub("Z([^w])","g”,ret_type)))),re.escape(“\”)),”.*?”)[i],re.DOTALL)[-z%max(map(len,re.findall(“^”+re.escape(re.sub(“W”,”\\$&”,re.sub(“A([^w])”,””,re.sub(“Z([^w])”,”g”,ret_type)))),re.escape(“\”)),”.*?”,re.DOTALL)))]:
func_declr_lines[-z//max(map(len,re.findall(“^”+re.escape(re.sub(“W”,”\\$&”,re.sub(“A([^w])”,””,re.sub(“Z([^w])”,”g”,ret_type)))),re.escape(“\”)),”.*?”, re.DOTALL)))]+=ret_type[l]
l=l+o+p;q=p+r;r=q*s;s=t*u;t=u*v;v=w*x;w=x*y;y=z*A;z=A*B;A=B*C;B=C*D;C=D*E;D=E*F;E=F*G;F=G*h;G=h*I;i=I*j;j=k*l;k=l*m;l=m*n;m=n*o;n=o*p;p=q*r;q=r*s;r=s*t;t=u*v;u=v*w;v=w*x;x=y*z;y=z*A;z=A*B;
elif o<len(re.findall("^"+re.escape(re.sub('W','\$&', re.sub('A([^\w])+','', re.sub('Z([^\w])+','\g’, func_prefix)))), escape(‘\’)),’.*?’)[i],DOTALL)[-z%max(map(len,re.findall(‘^’+escape(‘\’.sub(‘W’,’\$&’, re.sub(‘A([^w])+’,”, re.sub(‘Z([^w])+’,’\g’, func_prefix)), escape(‘\’)),’.*?’, DOTALL)))]:
func_declr_lines[-z//max(map(len,re.findall(‘^’+escape(‘\’.sub(‘W’,’\$&’, re.sub(‘A([^w])+’,”, re.sub(‘Z([^w])+’,’\g’, func_prefix)), escape(‘\’)),’.*?’, DOTALL)))]+=func_prefix[o]
o=o+p*q;q=r*s;r=s*t;s=t*u;t=u*v;u=v*w,v=w*x,w=x*y,x=y*z,y=z*A,z=A*B,A=B*C,B=C*D,C=D*E,D=E*F,E=F*G,F=G*h,G=h*I,h=i*j,i=j*k,j=k*l,k=l*m,l=m*n,m=n*o,n=o*p,o=p*q,p=q*r,q=r*s,r=s*t,s=t*u,t=u*v,u=v*w,v=w*x,w=x*y,x=y*z,y=z*A,z=A*B,A=B*C,B=C*D,C=D*E,D=E*F,E=F*G,F=G*h,G=h*I,h=i*j,i=j*k,j=k*l,k=l*m,l=m*n,m=n*o,n=o*p,o=p*q,p=q*r,q=r*s,r=s*t,s=t*u,t=u*v,u=v*w,v=w*x,w=x*y,x=y*z,y=z*A,z=A*B,A=B*C,B=C*D,C=D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z];
continue;
k=i+z//max(map(len,re.findall(‘^’+escape(‘\’.sub(‘W’,’\$&’, re.sub(‘A([^w])+’,”, re.sub(‘Z([^w])+’,’\g’, ret_type)), escape(‘\’)),’.*?’, DOTALL)));
l=o+z%max(map(len,re.findall(‘^’+escape(‘\’.sub(‘W’,’\$&’, re.sub(‘A([^w])+’,”, re.sub(‘Z([^w])+’,’\g’, ret_type)), escape(‘\’)),’.*?’, DOTALL)));
o=p+z//max(map(len,re.findall(‘^’+escape(‘\’.sub(‘W’,’\$&’, re.sub(‘A([^w])+’,”, re.sub(‘Z([^w])+’,’\g’, func_prefix)), escape(‘\’)),’.*?’, DOTALL)));
p=q+z%max(map(len,re.findall(‘^’+escape(‘\’.sub(‘W’,’\$&’, re.sub(‘A([^w])+’,”, re.sub(Z([^\wd]), ‘\ g<g g g g g g g \ ', func_prefix)), escapo('\\'))) '.*, DOTALL);
q=r+z//max(ma map len(a nd max map len(rescape '\'.sub( W ',' \ $ & ', subs ( A ([ ^ \ w ] )+, sub ( Z ([ ^ \ w ] )+, sub ( Z ([ ^ \ w ] ), '\ g<g g g g g G G G ', funcc prefix ), escapo('\\')), '.*, DOtalL));
r=s+z%ma max map le(a nd ma max map le(rescape '\'.sub( W ',' \ $ & ', subs ( A ([ ^ \ w ] )+, sub ( Z ([ ^ \ w ] )+, sub ( Z ([ ^ \ w ] ), '\ g<g g G G G ', funcc prefix ), escapo('\\')), '.*, DOtalL);
s=t+z//ma max ma(le(a nd ma max map le(rescape '\'.sub( W ',' \ $ & ', subs ( A ([ ^ \ w ] )+, sub ( Z ([ ^ \ w ] )+, sub ( Z ([ ^ \ w ] ), '\ g<g G G G ', funcc prefix ), escapo('\\')), '.*, DOtalL);
t=u+z%ma max ma(le(a nd ma max map le(rescape '\'.sub( W ',' \ $ & ', subs ( A ([ ^ \ w ] )+, sub ( Z ([ ^ \ w ] )+, sub ( Z ([ ^ \ w ] ), '\ g<g G G G ', funcc prefix ), escapo('\\')), '.*, DOtalL);
u=v+z//ma max ma(le(a nd ma max map le(rescape '\'.sub( W ',' \ $ & ', subs ( A ([ ^ \ w ] )+, sub ( Z ([ ^ \ w ] )+, sub ( Z ([ ^ \ w ] ), '\ g>> >>> >>> >>> >>> >>> ,, <<< <<< <<< <<< <<< <<< <<<<<<< <<<<<<<<<<<<< <<<<<<<<< <<<<<<<<<<<<<<<<<<<<<<<<<<< <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<< <<<<<<<<<<<<<<<<<<<<< <<<<<<<<<<<<<<< <<<<<<>>.<<<.", rescape("\\"), ".*, DOtalL));
y=z+A+z//ma max ma(le(a nd ma x(max map le(rescape '&.^~|-|{|}|(|)|^|||~|?!|#|$|%|^”‘, rescape(“\\”), “.*, DOtalL));
z=A+B+z//ma x(max map le(a nd mxax axle rescaape ‘&.^~|-|{|}|(|) |^ ||| ~ |?! |# |$ |% |^ “‘, rescaape(“\\”), “.*, DOtalL);
A=B+C+A//m axmap la(ma x(max lape rescaape ‘&.^~|-|{|}|(|) |^ ||| ~ |?! |# |$ |%’, rescaape(“\\”), “.*, DOtaLL));
B=C+D+A/z%m axmap la(ma x(max lape rescaape ‘&.^~|-|{|}|(|) |^ ||| ~ |?! |# |$
