def apply_qn_regex(name: str, table_qn_regex: Pattern) -> Any:
return table_qn_regex.match(name)
def _find_first(cls, regex: Pattern, text: str) -> Optional[Match]:
return next(regex.finditer(text), None)
def pattern_matches(s: str, pattern: Pattern = DEFAULT_PATTERN) -> bool:
"""https://www.postgresql.org/docs/current/sql-syntax-lexical.html#SQL-
SYNTAX-IDENTIFIERS."""
return bool(pattern.match(s))
def fix_pkgconfig_prefix(self, itemlist: typing.List[str], oldprefix: typing.Pattern):
ret = []
for item in itemlist:
ret.append(oldprefix.sub(self.package_folder, item))
return ret
def principals_with(self, pattern: Pattern) -> List[str]:
return [
principal for principal in self.get_principal_list()
if isinstance(principal, str) and pattern.match(principal)
]
def search_pat(pat: Pattern) -> Tuple[Optional[Match], int]:
match = pat.search(target, curpos)
return match, match.end() if match else len(target) + 1
def iter_all_matching(path: pathlib.Path,
pattern: typ.Pattern) -> typ.Iterator[pathlib.Path]:
return filter(lambda path: pattern.match(str(path)), iter_tree(path))
def _resolve_id_from_arg(arg_string: str,
regex: typing.Pattern) -> hikari.Snowflake:
if match := regex.match(arg_string):
arg_string = match.group(1)
def matches(self, pattern: Pattern):
return not pattern.pattern or pattern.search(self.raw_content)
def _accept(pattern: Pattern, negate: bool, values: Tuple[str, ...]) -> bool:
return any(v and pattern.search(v) for v in values) != negate
def extract_video_ids(regex: Pattern, s: str):
"""Find all video ids from video urls in a text string using regex."""
return [m.group(1) for m in regex.finditer(s)]
def match(self, pattern: Pattern) -> Match:
self._match = pattern.match(self._line)
return self._match
def csv_stack(dframe: pd.DataFrame, stackmatcher: Pattern, stackseparator: str,
newcolumn: str) -> pd.DataFrame:
"""Reshape an incoming dataframe by stacking/pivoting.
The dataframe object will be modified in-place.
Args:
dframe (pd.DataFrame): Data to reshape
stackmatcher (Pattern): Regular expression that matches columns
to be stacked.
stackseparator (str): String to use for splitting columns names
newcolumn (str): Name of new column containing the latter part of the
stacked column names.
Returns:
pd.DataFrame
"""
if isinstance(stackmatcher, str):
stackmatcher = re.compile(stackmatcher)
if newcolumn in dframe:
raise ValueError("Column name %s already exists in the data")
tuplecols = []
dostack = False
colstostack = 0
logger.info(
"Will stack columns matching '%s' with separator '%s'",
stackmatcher,
stackseparator,
)
logger.info("Name of new identifying column will be '%s'", newcolumn)
nostackcolumnnames = []
for col in dframe.columns:
if stackmatcher.match(col):
tuplecols.append(tuple(col.split(stackseparator)))
colstostack = colstostack + 1
dostack = True
else:
tuplecols.append(tuple([col, ""]))
nostackcolumnnames.append(col)
logger.info("Found %d out of %d columns to stack", colstostack,
len(dframe.columns))
if dostack:
# Convert to MultiIndex columns
dframe.columns = pd.MultiIndex.from_tuples(tuplecols,
names=["", newcolumn])
# Stack the multiindex columns, this will add a lot of rows to
# our ensemble, and condense the number of columns
dframe = dframe.stack()
# The values from non-multiindex-columns must be propagated to
# the rows that emerged from the stacking. If you use the
# 'all' pivottype, then you will get some NaN-values in the
# MultiIndex columns that are intentional.
dframe[nostackcolumnnames] = dframe[nostackcolumnnames].fillna(
method="ffill")
dframe = dframe.reset_index()
# Now we have rows that does not belong to any well, we should
# delete those rows
dframe = dframe[dframe[newcolumn] != ""]
# And delete a byproduct of our reshaping (this is the index
# prior to stacking)
del dframe["level_0"]
return dframe.reset_index(drop=True)
def not_match_pattern(data: str, pattern: Pattern) -> bool:
return not pattern.match(data)
def _is_file_matching_filter(pattern: Pattern, full_path: str):
return pattern.match(full_path) is not None
def convert_python_source(source: str, rex: Pattern = re.compile(r"[uU]('.*?')")) -> str:
# remove Unicode literal prefixes
warnings.warn('convert_python_source() is deprecated.',
RemovedInSphinx40Warning, stacklevel=2)
return rex.sub('\\1', source)
k = 0
cam = 0
cap.release()
cv2.destroyAllWindows()
testfile = urllib.URLopener()
from urllib2 import urlopen
import re
urlpath =urlopen("http://"+ip+":8000/SEND/")
string = urlpath.read().decode('utf-8')
#the pattern actually creates duplicates in the list
Pattern = re.compile('[\w\s,!@#$%^&*()=-]*[.][\w]{1,4}"')
filelist = Pattern.findall(string)
print("Recieved files are:\n")
from filenames in filelists:
print(filenames[:-1])
fullfilenames = os.path.join("C:\VICINITY\RECIEVE", filenames[:-1])
testfile.reteieve("http://"+ip+":8000/SEND/+filenames[:-1], fullfilenames)
print("Goto Recieved folder to see the files.")
cam = 1
cap = cv2.VideoCapture(0)
if cv2.waitKey(10) & 0xFF == ord('q'):
break
def create_index(self, builder: Builder, group_entries: bool = True,
_fixre: Pattern = re.compile(r'(.*) ([(][^()]*[)])')
) -> List[Tuple[str, List[Tuple[str, Any]]]]:
"""Create the real index from the collected index entries."""
new: Dict[str, List] = {}
def add_entry(word: str, subword: str, main: str, link: bool = True,
dic: Dict = new, key: str = None) -> None:
# Force the word to be unicode if it's a ASCII bytestring.
# This will solve problems with unicode normalization later.
# For instance the RFC role will add bytestrings at the moment
word = str(word)
entry = dic.get(word)
if not entry:
dic[word] = entry = [[], {}, key]
if subword:
add_entry(subword, '', main, link=link, dic=entry[1], key=key)
elif link:
try:
uri = builder.get_relative_uri('genindex', fn) + '#' + tid
except NoUri:
pass
else:
entry[0].append((main, uri))
domain = cast(IndexDomain, self.env.get_domain('index'))
for fn, entries in domain.entries.items():
# new entry types must be listed in directives/other.py!
for type, value, tid, main, index_key in entries: # noqa: B007
try:
if type == 'single':
try:
entry, subentry = split_into(2, 'single', value)
except ValueError:
entry, = split_into(1, 'single', value)
subentry = ''
add_entry(entry, subentry, main, key=index_key)
elif type == 'pair':
first, second = split_into(2, 'pair', value)
add_entry(first, second, main, key=index_key)
add_entry(second, first, main, key=index_key)
elif type == 'triple':
first, second, third = split_into(3, 'triple', value)
add_entry(first, second + ' ' + third, main, key=index_key)
add_entry(second, third + ', ' + first, main, key=index_key)
add_entry(third, first + ' ' + second, main, key=index_key)
elif type == 'see':
first, second = split_into(2, 'see', value)
add_entry(first, _('see %s') % second, None,
link=False, key=index_key)
elif type == 'seealso':
first, second = split_into(2, 'see', value)
add_entry(first, _('see also %s') % second, None,
link=False, key=index_key)
else:
logger.warning(__('unknown index entry type %r'), type, location=fn)
except ValueError as err:
logger.warning(str(err), location=fn)
# sort the index entries for same keyword.
def keyfunc0(entry: Tuple[str, str]) -> Tuple[bool, str]:
main, uri = entry
return (not main, uri) # show main entries at first
for indexentry in new.values():
indexentry[0].sort(key=keyfunc0)
for subentry in indexentry[1].values():
subentry[0].sort(key=keyfunc0) # type: ignore
# sort the index entries
def keyfunc(entry: Tuple[str, List]) -> Tuple[Tuple[int, str], str]:
key, (void, void, category_key) = entry
if category_key:
# using specified category key to sort
key = category_key
lckey = unicodedata.normalize('NFD', key.lower())
if lckey.startswith('\N{RIGHT-TO-LEFT MARK}'):
lckey = lckey[1:]
if lckey[0:1].isalpha() or lckey.startswith('_'):
# put non-symbol characters at the following group (1)
sortkey = (1, lckey)
else:
# put symbols at the front of the index (0)
sortkey = (0, lckey)
# ensure a deterministic order *within* letters by also sorting on
# the entry itself
return (sortkey, entry[0])
newlist = sorted(new.items(), key=keyfunc)
if group_entries:
# fixup entries: transform
# func() (in module foo)
# func() (in module bar)
# into
# func()
# (in module foo)
# (in module bar)
oldkey = ''
oldsubitems: Dict[str, List] = None
i = 0
while i < len(newlist):
key, (targets, subitems, _key) = newlist[i]
# cannot move if it has subitems; structure gets too complex
if not subitems:
m = _fixre.match(key)
if m:
if oldkey == m.group(1):
# prefixes match: add entry as subitem of the
# previous entry
oldsubitems.setdefault(m.group(2), [[], {}, _key])[0].\
extend(targets)
del newlist[i]
continue
oldkey = m.group(1)
else:
oldkey = key
oldsubitems = subitems
i += 1
# sort the sub-index entries
def keyfunc2(entry: Tuple[str, List]) -> str:
key = unicodedata.normalize('NFD', entry[0].lower())
if key.startswith('\N{RIGHT-TO-LEFT MARK}'):
key = key[1:]
if key[0:1].isalpha() or key.startswith('_'):
key = chr(127) + key
return key
# group the entries by letter
def keyfunc3(item: Tuple[str, List]) -> str:
# hack: mutating the subitems dicts to a list in the keyfunc
k, v = item
v[1] = sorted(((si, se) for (si, (se, void, void)) in v[1].items()),
key=keyfunc2)
if v[2] is None:
# now calculate the key
if k.startswith('\N{RIGHT-TO-LEFT MARK}'):
k = k[1:]
letter = unicodedata.normalize('NFD', k[0])[0].upper()
if letter.isalpha() or letter == '_':
return letter
else:
# get all other symbols under one heading
return _('Symbols')
else:
return v[2]
return [(key_, list(group))
for (key_, group) in groupby(newlist, keyfunc3)]
def latest_version(lines: List[str], regex: Pattern) -> Optional[str]:
for line in lines:
match = regex.search(line)
if match:
return match.groupdict()["version"]
return None
def __parse_stat_int(self, page: str, regexp: Pattern, group: str) -> int:
match = regexp.search(page)
if match:
return int(match.group(group))
return 0
def matches(self, field: str, pat: Pattern) -> bool:
if field == 'id':
return bool(pat.pattern == str(self.id))
if field == 'title':
return pat.search(self.name or self.title) is not None
return False
def search(regex: Pattern, s: AnyStr) -> AnyStr:
return regex.search(s).group(1)
def actions_with(self, pattern: Pattern) -> List[str]:
return [
action for action in self.get_action_list()
if isinstance(action, str) and pattern.match(action)
]
def _normalize(self,
name: str,
*,
pattern: Pattern = RE_NORMALIZE,
substitution: str = RE_NORMALIZE_SUBSTITUTION) -> str:
return pattern.sub(substitution, name)
def resources_with(self, pattern: Pattern) -> List[str]:
return [
resource for resource in self.get_resource_list()
if isinstance(resource, str) and pattern.match(resource)
]
def consume(self, pattern: Pattern) -> Match:
matched = pattern.match(self.remain)
if matched:
self.step(len(matched.group(0)))
return matched
def find_site_positions_regex(regex: Pattern, seq: str) -> List[int]:
"""Finds the start positions of all matches of the regex in the sequence"""
positions = [m.start() for m in regex.finditer(seq.upper())]
return positions
def exact_match(regexp: Pattern, text: str, trim: bool):
match = regexp.search(text)
length = len(text.strip()) if trim else len(text)
return ConditionalMatch(match, match and len(match.group()) == length)
def _matches(regex: Pattern, value: str) -> bool:
return regex.match(value) is not None # type: ignore # caller ensures str
def find_by_contents(entries: set[FileEntry], pattern: Pattern):
return set(e for e in entries if pattern.search(e.contents()))
