Datasets:

calum
/

the-stack-smol-python-docstrings

Dataset card Data Studio Files Files and versions Community

Split (1)

train · 24.6k rows

body stringlengths 26 98.2k	body_hash int64 -9,222,864,604,528,158,000 9,221,803,474B	docstring stringlengths 1 16.8k	path stringlengths 5 230	name stringlengths 1 96	repository_name stringlengths 7 89	lang stringclasses 1 value	body_without_docstring stringlengths 20 98.2k
def _url_normalize(self, text: str, repl: str, regex=re.compile('(https?\|ftp\|www)\\S+')) -> str: "Return the string obtained by replacing all urls in 'text' by the replacement 'repl'.\n Args:\n text (str): text to be replaced\n repl (str): replace all urls in text with 'repl'\n " text = regex.sub(repl, text) return text	2,643,941,785,526,158,000	Return the string obtained by replacing all urls in 'text' by the replacement 'repl'. Args: text (str): text to be replaced repl (str): replace all urls in text with 'repl'	prenlp/data/normalizer.py	_url_normalize	awesome-archive/prenlp	python	def _url_normalize(self, text: str, repl: str, regex=re.compile('(https?\|ftp\|www)\\S+')) -> str: "Return the string obtained by replacing all urls in 'text' by the replacement 'repl'.\n Args:\n text (str): text to be replaced\n repl (str): replace all urls in text with 'repl'\n " text = regex.sub(repl, text) return text
def _tag_normalize(self, text: str, repl: str, regex=re.compile('<[^>]*>')) -> str: "Return the string obtained by replacing all HTML tags in 'text' by the replacement 'repl'.\n Args:\n text (str): text to be replaced\n repl (str): replace all HTML tags in text with 'repl'\n " text = regex.sub(repl, text) return text	-9,178,201,264,139,550,000	Return the string obtained by replacing all HTML tags in 'text' by the replacement 'repl'. Args: text (str): text to be replaced repl (str): replace all HTML tags in text with 'repl'	prenlp/data/normalizer.py	_tag_normalize	awesome-archive/prenlp	python	def _tag_normalize(self, text: str, repl: str, regex=re.compile('<[^>]*>')) -> str: "Return the string obtained by replacing all HTML tags in 'text' by the replacement 'repl'.\n Args:\n text (str): text to be replaced\n repl (str): replace all HTML tags in text with 'repl'\n " text = regex.sub(repl, text) return text
def _emoji_normalize(self, text: str, repl: str, regex=re.compile('\\U0001f469\\u200d\\u2764\\ufe0f\\u200d\\U0001f48b\\u200d\\U0001f468\|\\U0001f468\\u200d\\u2764\\ufe0f\\u200d\\U0001f48b\\u200d\\U0001f468\|\\U0001f469\\u200d\\u2764\\ufe0f\\u200d\\U0001f48b\\u200d\\U0001f469\|\\U0001f9d1\\U0001f3fb\\u200d\\U0001f91d\\u200d\\U0001f9d1\\U0001f3fb\|\\U0001f9d1\\U0001f3fc\\u200d\\U0001f91d\\u200d\\U0001f9d1\\U0001f3fb\|\\U0001f9d1\\U0001f3fc\\u200d\\U0001f91d\\u200d\\U0001f9d1\\U0001f3fc\|\\U0001f9d1\\U0001f3fd\\u200d\\U0001f91d\\u200d\\U0001f9d1\\U0001f3fb\|\\U0001f9d1\\U0001f3fd\\u200d\\U0001f91d\\u200d\\U0001f9d1\\U0001f3fc\|\\U0001f9d1\\U0001f3fd\\u200d\\U0001f91d\\u200d\\U0001f9d1\\U0001f3fd\|\\U0001f9d1\\U0001f3fe\\u200d\\U0001f91d\\u200d\\U0001f9d1\\U0001f3fb\|\\U0001f9d1\\U0001f3fe\\u200d\\U0001f91d\\u200d\\U0001f9d1\\U0001f3fc\|\\U0001f9d1\\U0001f3fe\\u200d\\U0001f91d\\u200d\\U0001f9d1\\U0001f3fd\|\\U0001f9d1\\U0001f3fe\\u200d\\U0001f91d\\u200d\\U0001f9d1\\U0001f3fe\|\\U0001f9d1\\U0001f3ff\\u200d\\U0001f91d\\u200d\\U0001f9d1\\U0001f3fb\|\\U0001f9d1\\U0001f3ff\\u200d\\U0001f91d\\u200d\\U0001f9d1\\U0001f3fc\|\\U0001f9d1\\U0001f3ff\\u200d\\U0001f91d\\u200d\\U0001f9d1\\U0001f3fd\|\\U0001f9d1\\U0001f3ff\\u200d\\U0001f91d\\u200d\\U0001f9d1\\U0001f3fe\|\\U0001f9d1\\U0001f3ff\\u200d\\U0001f91d\\u200d\\U0001f9d1\\U0001f3ff\|\\U0001f469\\U0001f3fc\\u200d\\U0001f91d\\u200d\\U0001f469\\U0001f3fb\|\\U0001f469\\U0001f3fd\\u200d\\U0001f91d\\u200d\\U0001f469\\U0001f3fb\|\\U0001f469\\U0001f3fd\\u200d\\U0001f91d\\u200d\\U0001f469\\U0001f3fc\|\\U0001f469\\U0001f3fe\\u200d\\U0001f91d\\u200d\\U0001f469\\U0001f3fb\|\\U0001f469\\U0001f3fe\\u200d\\U0001f91d\\u200d\\U0001f469\\U0001f3fc\|\\U0001f469\\U0001f3fe\\u200d\\U0001f91d\\u200d\\U0001f469\\U0001f3fd\|\\U0001f469\\U0001f3ff\\u200d\\U0001f91d\\u200d\\U0001f469\\U0001f3fb\|\\U0001f469\\U0001f3ff\\u200d\\U0001f91d\\u200d\\U0001f469\\U0001f3fc\|\\U0001f469\\U0001f3ff\\u200d\\U0001f91d\\u200d\\U0001f469\\U0001f3fd\|\\U0001f469\\U0001f3ff\\u200d\\U0001f91d\\u200d\\U0001f469\\U0001f3fe\|\\U0001f469\\U0001f3fb\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fc\|\\U0001f469\\U0001f3fb\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fd\|\\U0001f469\\U0001f3fb\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fe\|\\U0001f469\\U0001f3fb\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3ff\|\\U0001f469\\U0001f3fc\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fb\|\\U0001f469\\U0001f3fc\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fd\|\\U0001f469\\U0001f3fc\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fe\|\\U0001f469\\U0001f3fc\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3ff\|\\U0001f469\\U0001f3fd\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fb\|\\U0001f469\\U0001f3fd\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fc\|\\U0001f469\\U0001f3fd\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fe\|\\U0001f469\\U0001f3fd\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3ff\|\\U0001f469\\U0001f3fe\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fb\|\\U0001f469\\U0001f3fe\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fc\|\\U0001f469\\U0001f3fe\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fd\|\\U0001f469\\U0001f3fe\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3ff\|\\U0001f469\\U0001f3ff\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fb\|\\U0001f469\\U0001f3ff\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fc\|\\U0001f469\\U0001f3ff\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fd\|\\U0001f469\\U0001f3ff\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fe\|\\U0001f468\\U0001f3fc\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fb\|\\U0001f468\\U0001f3fd\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fb\|\\U0001f468\\U0001f3fd\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fc\|\\U0001f468\\U0001f3fe\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fb\|\\U0001f468\\U0001f3fe\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fc\|\\U0001f468\\U0001f3fe\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fd\|\\U0001f468\\U0001f3ff\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fb\|\\U0001f468\\U0001f3ff\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fc\|\\U0001f468\\U0001f3ff\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fd\|\\U0001f468\\U0001f3ff\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fe\|\\U0001f469\\u200d\\u2764\\u200d\\U0001f48b\\u200d\\U0001f468\|\\U0001f468\\u200d\\u2764\\u200d\\U0001f48b\\u200d\\U0001f468\|\\U0001f469\\u200d\\u2764\\u200d\\U0001f48b\\u200d\\U0001f469\|\\U0001f468\\u200d\\U0001f469\\u200d\\U0001f467\\u200d\\U0001f466\|\\U0001f468\\u200d\\U0001f469\\u200d\\U0001f466\\u200d\\U0001f466\|\\U0001f468\\u200d\\U0001f469\\u200d\\U0001f467\\u200d\\U0001f467\|\\U0001f468\\u200d\\U0001f468\\u200d\\U0001f467\\u200d\\U0001f466\|\\U0001f468\\u200d\\U0001f468\\u200d\\U0001f466\\u200d\\U0001f466\|\\U0001f468\\u200d\\U0001f468\\u200d\\U0001f467\\u200d\\U0001f467\|\\U0001f469\\u200d\\U0001f469\\u200d\\U0001f467\\u200d\\U0001f466\|\\U0001f469\\u200d\\U0001f469\\u200d\\U0001f466\\u200d\\U0001f466\|\\U0001f469\\u200d\\U0001f469\\u200d\\U0001f467\\u200d\\U0001f467\|\\U0001f3f4\\U000e0067\\U000e0062\\U000e0065\\U000e006e\\U000e0067\\U000e007f\|\\U0001f3f4\\U000e0067\\U000e0062\\U000e0073\\U000e0063\\U000e0074\\U000e007f\|\\U0001f3f4\\U000e0067\\U000e0062\\U000e0077\\U000e006c\\U000e0073\\U000e007f\|\\U0001f469\\u200d\\u2764\\ufe0f\\u200d\\U0001f468\|\\U0001f468\\u200d\\u2764\\ufe0f\\u200d\\U0001f468\|\\U0001f469\\u200d\\u2764\\ufe0f\\u200d\\U0001f469\|\\U0001f441\\ufe0f\\u200d\\U0001f5e8\\ufe0f\|\\U0001f471\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f471\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f471\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f471\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f471\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f471\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f471\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f471\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f471\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f471\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f64d\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f64d\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f64d\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f64d\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f64d\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f64d\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f64d\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f64d\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f64d\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f64d\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f64e\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f64e\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f64e\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f64e\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f64e\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f64e\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f64e\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f64e\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f64e\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f64e\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f645\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f645\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f645\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f645\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f645\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f645\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f645\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f645\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f645\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f645\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f646\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f646\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f646\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f646\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f646\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f646\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f646\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f646\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f646\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f646\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f481\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f481\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f481\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f481\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f481\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f481\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f481\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f481\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f481\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f481\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f64b\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f64b\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f64b\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f64b\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f64b\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f64b\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f64b\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f64b\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f64b\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f64b\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f9cf\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f9cf\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f9cf\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f9cf\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f9cf\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f9cf\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f9cf\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f9cf\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f9cf\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f9cf\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f647\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f647\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f647\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f647\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f647\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f647\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f647\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f647\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f647\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f647\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f926\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f926\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f926\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f926\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f926\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f926\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f926\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f926\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f926\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f937\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f937\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f937\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f937\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f937\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f937\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f937\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f937\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f937\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f937\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f468\\U0001f3fb\\u200d\\u2695\\ufe0f\|\\U0001f468\\U0001f3fc\\u200d\\u2695\\ufe0f\|\\U0001f468\\U0001f3fd\\u200d\\u2695\\ufe0f\|\\U0001f468\\U0001f3fe\\u200d\\u2695\\ufe0f\|\\U0001f468\\U0001f3ff\\u200d\\u2695\\ufe0f\|\\U0001f469\\U0001f3fb\\u200d\\u2695\\ufe0f\|\\U0001f469\\U0001f3fc\\u200d\\u2695\\ufe0f\|\\U0001f469\\U0001f3fd\\u200d\\u2695\\ufe0f\|\\U0001f469\\U0001f3fe\\u200d\\u2695\\ufe0f\|\\U0001f469\\U0001f3ff\\u200d\\u2695\\ufe0f\|\\U0001f468\\U0001f3fb\\u200d\\u2696\\ufe0f\|\\U0001f468\\U0001f3fc\\u200d\\u2696\\ufe0f\|\\U0001f468\\U0001f3fd\\u200d\\u2696\\ufe0f\|\\U0001f468\\U0001f3fe\\u200d\\u2696\\ufe0f\|\\U0001f468\\U0001f3ff\\u200d\\u2696\\ufe0f\|\\U0001f469\\U0001f3fb\\u200d\\u2696\\ufe0f\|\\U0001f469\\U0001f3fc\\u200d\\u2696\\ufe0f\|\\U0001f469\\U0001f3fd\\u200d\\u2696\\ufe0f\|\\U0001f469\\U0001f3fe\\u200d\\u2696\\ufe0f\|\\U0001f469\\U0001f3ff\\u200d\\u2696\\ufe0f\|\\U0001f468\\U0001f3fb\\u200d\\u2708\\ufe0f\|\\U0001f468\\U0001f3fc\\u200d\\u2708\\ufe0f\|\\U0001f468\\U0001f3fd\\u200d\\u2708\\ufe0f\|\\U0001f468\\U0001f3fe\\u200d\\u2708\\ufe0f\|\\U0001f468\\U0001f3ff\\u200d\\u2708\\ufe0f\|\\U0001f469\\U0001f3fb\\u200d\\u2708\\ufe0f\|\\U0001f469\\U0001f3fc\\u200d\\u2708\\ufe0f\|\\U0001f469\\U0001f3fd\\u200d\\u2708\\ufe0f\|\\U0001f469\\U0001f3fe\\u200d\\u2708\\ufe0f\|\\U0001f469\\U0001f3ff\\u200d\\u2708\\ufe0f\|\\U0001f46e\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f46e\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f46e\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f46e\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f46e\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f46e\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f46e\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f46e\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f46e\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f46e\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f575\\ufe0f\\u200d\\u2642\\ufe0f\|\\U0001f575\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f575\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f575\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f575\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f575\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f575\\ufe0f\\u200d\\u2640\\ufe0f\|\\U0001f575\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f575\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f575\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f575\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f575\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f482\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f482\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f482\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f482\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f482\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f482\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f482\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f482\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f482\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f482\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f477\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f477\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f477\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f477\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f477\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f477\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f477\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f477\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f477\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f477\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f473\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f473\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f473\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f473\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f473\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f473\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f473\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f473\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f473\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f473\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f9b8\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f9b8\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f9b8\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f9b8\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f9b8\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f9b8\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f9b8\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f9b8\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f9b8\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f9b8\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f9b9\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f9b9\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f9b9\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f9b9\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f9b9\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f9b9\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f9b9\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f9b9\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f9b9\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f9b9\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f9d9\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f9d9\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f9d9\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f9d9\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f9d9\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f9d9\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f9d9\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f9d9\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f9d9\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f9d9\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f9da\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f9da\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f9da\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f9da\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f9da\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f9da\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f9da\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f9da\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f9da\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f9da\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f9db\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f9db\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f9db\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f9db\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f9db\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f9db\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f9db\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f9db\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f9db\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f9db\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f9dc\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f9dc\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f9dc\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f9dc\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f9dc\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f9dc\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f9dc\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f9dc\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f9dc\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f9dc\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f9dd\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f9dd\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f9dd\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f9dd\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f9dd\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f9dd\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f9dd\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f9dd\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f9dd\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f9dd\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f486\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f486\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f486\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f486\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f486\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f486\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f486\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f486\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f486\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f486\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f487\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f487\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f487\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f487\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f487\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f487\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f487\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f487\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f487\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f487\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f6b6\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f6b6\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f6b6\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f6b6\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f6b6\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f6b6\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f6b6\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f6b6\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f6b6\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f6b6\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f9cd\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f9cd\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f9cd\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f9cd\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f9cd\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f9cd\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f9cd\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f9cd\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f9cd\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f9cd\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f9ce\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f9ce\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f9ce\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f9ce\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f9ce\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f9ce\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f9ce\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f9ce\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f9ce\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f9ce\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f3c3\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f3c3\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f3c3\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f3c3\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f3c3\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f3c3\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f3c3\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f3c3\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f3c3\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f3c3\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f9d6\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f9d6\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f9d6\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f9d6\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f9d6\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f9d6\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f9d6\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f9d6\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f9d6\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f9d6\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f9d7\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f9d7\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f9d7\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f9d7\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f9d7\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f9d7\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f9d7\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f9d7\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f9d7\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f9d7\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f3cc\\ufe0f\\u200d\\u2642\\ufe0f\|\\U0001f3cc\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f3cc\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f3cc\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f3cc\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f3cc\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f3cc\\ufe0f\\u200d\\u2640\\ufe0f\|\\U0001f3cc\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f3cc\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f3cc\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f3cc\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f3cc\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f3c4\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f3c4\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f3c4\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f3c4\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f3c4\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f3c4\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f3c4\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f3c4\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f3c4\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f3c4\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f6a3\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f6a3\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f6a3\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f6a3\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f6a3\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f6a3\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f6a3\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f6a3\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f6a3\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f6a3\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f3ca\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f3ca\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f3ca\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f3ca\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f3ca\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f3ca\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f3ca\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f3ca\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f3ca\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f3ca\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\u26f9\\ufe0f\\u200d\\u2642\\ufe0f\|\\u26f9\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\u26f9\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\u26f9\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\u26f9\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\u26f9\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\u26f9\\ufe0f\\u200d\\u2640\\ufe0f\|\\u26f9\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\u26f9\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\u26f9\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\u26f9\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\u26f9\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f3cb\\ufe0f\\u200d\\u2642\\ufe0f\|\\U0001f3cb\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f3cb\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f3cb\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f3cb\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f3cb\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f3cb\\ufe0f\\u200d\\u2640\\ufe0f\|\\U0001f3cb\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f3cb\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f3cb\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f3cb\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f3cb\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f6b4\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f6b4\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f6b4\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f6b4\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f6b4\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f6b4\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f6b4\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f6b4\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f6b4\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f6b4\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f6b5\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f6b5\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f6b5\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f6b5\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f6b5\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f6b5\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f6b5\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f6b5\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f6b5\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f6b5\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f938\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f938\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f938\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f938\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f938\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f938\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f938\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f938\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f938\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f938\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f93d\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f93d\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f93d\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f93d\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f93d\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f93d\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f93d\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f93d\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f93d\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f93d\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f93e\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f93e\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f93e\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f93e\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f93e\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f93e\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f93e\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f93e\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f93e\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f93e\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f939\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f939\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f939\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f939\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f939\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f939\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f939\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f939\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f939\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f939\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f9d8\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f9d8\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f9d8\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f9d8\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f9d8\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f9d8\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f9d8\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f9d8\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f9d8\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f9d8\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f9d1\\u200d\\U0001f91d\\u200d\\U0001f9d1\|\\U0001f469\\u200d\\u2764\\u200d\\U0001f468\|\\U0001f468\\u200d\\u2764\\u200d\\U0001f468\|\\U0001f469\\u200d\\u2764\\u200d\\U0001f469\|\\U0001f468\\u200d\\U0001f469\\u200d\\U0001f466\|\\U0001f468\\u200d\\U0001f469\\u200d\\U0001f467\|\\U0001f468\\u200d\\U0001f468\\u200d\\U0001f466\|\\U0001f468\\u200d\\U0001f468\\u200d\\U0001f467\|\\U0001f469\\u200d\\U0001f469\\u200d\\U0001f466\|\\U0001f469\\u200d\\U0001f469\\u200d\\U0001f467\|\\U0001f468\\u200d\\U0001f466\\u200d\\U0001f466\|\\U0001f468\\u200d\\U0001f467\\u200d\\U0001f466\|\\U0001f468\\u200d\\U0001f467\\u200d\\U0001f467\|\\U0001f469\\u200d\\U0001f466\\u200d\\U0001f466\|\\U0001f469\\u200d\\U0001f467\\u200d\\U0001f466\|\\U0001f469\\u200d\\U0001f467\\u200d\\U0001f467\|\\U0001f441\\u200d\\U0001f5e8\\ufe0f\|\\U0001f441\\ufe0f\\u200d\\U0001f5e8\|\\U0001f471\\u200d\\u2642\\ufe0f\|\\U0001f471\\U0001f3fb\\u200d\\u2642\|\\U0001f471\\U0001f3fc\\u200d\\u2642\|\\U0001f471\\U0001f3fd\\u200d\\u2642\|\\U0001f471\\U0001f3fe\\u200d\\u2642\|\\U0001f471\\U0001f3ff\\u200d\\u2642\|\\U0001f468\\U0001f3fb\\u200d\\U0001f9b0\|\\U0001f468\\U0001f3fc\\u200d\\U0001f9b0\|\\U0001f468\\U0001f3fd\\u200d\\U0001f9b0\|\\U0001f468\\U0001f3fe\\u200d\\U0001f9b0\|\\U0001f468\\U0001f3ff\\u200d\\U0001f9b0\|\\U0001f468\\U0001f3fb\\u200d\\U0001f9b1\|\\U0001f468\\U0001f3fc\\u200d\\U0001f9b1\|\\U0001f468\\U0001f3fd\\u200d\\U0001f9b1\|\\U0001f468\\U0001f3fe\\u200d\\U0001f9b1\|\\U0001f468\\U0001f3ff\\u200d\\U0001f9b1\|\\U0001f468\\U0001f3fb\\u200d\\U0001f9b3\|\\U0001f468\\U0001f3fc\\u200d\\U0001f9b3\|\\U0001f468\\U0001f3fd\\u200d\\U0001f9b3\|\\U0001f468\\U0001f3fe\\u200d\\U0001f9b3\|\\U0001f468\\U0001f3ff\\u200d\\U0001f9b3\|\\U0001f468\\U0001f3fb\\u200d\\U0001f9b2\|\\U0001f468\\U0001f3fc\\u200d\\U0001f9b2\|\\U0001f468\\U0001f3fd\\u200d\\U0001f9b2\|\\U0001f468\\U0001f3fe\\u200d\\U0001f9b2\|\\U0001f468\\U0001f3ff\\u200d\\U0001f9b2\|\\U0001f471\\u200d\\u2640\\ufe0f\|\\U0001f471\\U0001f3fb\\u200d\\u2640\|\\U0001f471\\U0001f3fc\\u200d\\u2640\|\\U0001f471\\U0001f3fd\\u200d\\u2640\|\\U0001f471\\U0001f3fe\\u200d\\u2640\|\\U0001f471\\U0001f3ff\\u200d\\u2640\|\\U0001f469\\U0001f3fb\\u200d\\U0001f9b0\|\\U0001f469\\U0001f3fc\\u200d\\U0001f9b0\|\\U0001f469\\U0001f3fd\\u200d\\U0001f9b0\|\\U0001f469\\U0001f3fe\\u200d\\U0001f9b0\|\\U0001f469\\U0001f3ff\\u200d\\U0001f9b0\|\\U0001f469\\U0001f3fb\\u200d\\U0001f9b1\|\\U0001f469\\U0001f3fc\\u200d\\U0001f9b1\|\\U0001f469\\U0001f3fd\\u200d\\U0001f9b1\|\\U0001f469\\U0001f3fe\\u200d\\U0001f9b1\|\\U0001f469\\U0001f3ff\\u200d\\U0001f9b1\|\\U0001f469\\U0001f3fb\\u200d\\U0001f9b3\|\\U0001f469\\U0001f3fc\\u200d\\U0001f9b3\|\\U0001f469\\U0001f3fd\\u200d\\U0001f9b3\|\\U0001f469\\U0001f3fe\\u200d\\U0001f9b3\|\\U0001f469\\U0001f3ff\\u200d\\U0001f9b3\|\\U0001f469\\U0001f3fb\\u200d\\U0001f9b2\|\\U0001f469\\U0001f3fc\\u200d\\U0001f9b2\|\\U0001f469\\U0001f3fd\\u200d\\U0001f9b2\|\\U0001f469\\U0001f3fe\\u200d\\U0001f9b2\|\\U0001f469\\U0001f3ff\\u200d\\U0001f9b2\|\\U0001f64d\\u200d\\u2642\\ufe0f\|\\U0001f64d\\U0001f3fb\\u200d\\u2642\|\\U0001f64d\\U0001f3fc\\u200d\\u2642\|\\U0001f64d\\U0001f3fd\\u200d\\u2642\|\\U0001f64d\\U0001f3fe\\u200d\\u2642\|\\U0001f64d\\U0001f3ff\\u200d\\u2642\|\\U0001f64d\\u200d\\u2640\\ufe0f\|\\U0001f64d\\U0001f3fb\\u200d\\u2640\|\\U0001f64d\\U0001f3fc\\u200d\\u2640\|\\U0001f64d\\U0001f3fd\\u200d\\u2640\|\\U0001f64d\\U0001f3fe\\u200d\\u2640\|\\U0001f64d\\U0001f3ff\\u200d\\u2640\|\\U0001f64e\\u200d\\u2642\\ufe0f\|\\U0001f64e\\U0001f3fb\\u200d\\u2642\|\\U0001f64e\\U0001f3fc\\u200d\\u2642\|\\U0001f64e\\U0001f3fd\\u200d\\u2642\|\\U0001f64e\\U0001f3fe\\u200d\\u2642\|\\U0001f64e\\U0001f3ff\\u200d\\u2642\|\\U0001f64e\\u200d\\u2640\\ufe0f\|\\U0001f64e\\U0001f3fb\\u200d\\u2640\|\\U0001f64e\\U0001f3fc\\u200d\\u2640\|\\U0001f64e\\U0001f3fd\\u200d\\u2640\|\\U0001f64e\\U0001f3fe\\u200d\\u2640\|\\U0001f64e\\U0001f3ff\\u200d\\u2640\|\\U0001f645\\u200d\\u2642\\ufe0f\|\\U0001f645\\U0001f3fb\\u200d\\u2642\|\\U0001f645\\U0001f3fc\\u200d\\u2642\|\\U0001f645\\U0001f3fd\\u200d\\u2642\|\\U0001f645\\U0001f3fe\\u200d\\u2642\|\\U0001f645\\U0001f3ff\\u200d\\u2642\|\\U0001f645\\u200d\\u2640\\ufe0f\|\\U0001f645\\U0001f3fb\\u200d\\u2640\|\\U0001f645\\U0001f3fc\\u200d\\u2640\|\\U0001f645\\U0001f3fd\\u200d\\u2640\|\\U0001f645\\U0001f3fe\\u200d\\u2640\|\\U0001f645\\U0001f3ff\\u200d\\u2640\|\\U0001f646\\u200d\\u2642\\ufe0f\|\\U0001f646\\U0001f3fb\\u200d\\u2642\|\\U0001f646\\U0001f3fc\\u200d\\u2642\|\\U0001f646\\U0001f3fd\\u200d\\u2642\|\\U0001f646\\U0001f3fe\\u200d\\u2642\|\\U0001f646\\U0001f3ff\\u200d\\u2642\|\\U0001f646\\u200d\\u2640\\ufe0f\|\\U0001f646\\U0001f3fb\\u200d\\u2640\|\\U0001f646\\U0001f3fc\\u200d\\u2640\|\\U0001f646\\U0001f3fd\\u200d\\u2640\|\\U0001f646\\U0001f3fe\\u200d\\u2640\|\\U0001f646\\U0001f3ff\\u200d\\u2640\|\\U0001f481\\u200d\\u2642\\ufe0f\|\\U0001f481\\U0001f3fb\\u200d\\u2642\|\\U0001f481\\U0001f3fc\\u200d\\u2642\|\\U0001f481\\U0001f3fd\\u200d\\u2642\|\\U0001f481\\U0001f3fe\\u200d\\u2642\|\\U0001f481\\U0001f3ff\\u200d\\u2642\|\\U0001f481\\u200d\\u2640\\ufe0f\|\\U0001f481\\U0001f3fb\\u200d\\u2640\|\\U0001f481\\U0001f3fc\\u200d\\u2640\|\\U0001f481\\U0001f3fd\\u200d\\u2640\|\\U0001f481\\U0001f3fe\\u200d\\u2640\|\\U0001f481\\U0001f3ff\\u200d\\u2640\|\\U0001f64b\\u200d\\u2642\\ufe0f\|\\U0001f64b\\U0001f3fb\\u200d\\u2642\|\\U0001f64b\\U0001f3fc\\u200d\\u2642\|\\U0001f64b\\U0001f3fd\\u200d\\u2642\|\\U0001f64b\\U0001f3fe\\u200d\\u2642\|\\U0001f64b\\U0001f3ff\\u200d\\u2642\|\\U0001f64b\\u200d\\u2640\\ufe0f\|\\U0001f64b\\U0001f3fb\\u200d\\u2640\|\\U0001f64b\\U0001f3fc\\u200d\\u2640\|\\U0001f64b\\U0001f3fd\\u200d\\u2640\|\\U0001f64b\\U0001f3fe\\u200d\\u2640\|\\U0001f64b\\U0001f3ff\\u200d\\u2640\|\\U0001f9cf\\u200d\\u2642\\ufe0f\|\\U0001f9cf\\U0001f3fb\\u200d\\u2642\|\\U0001f9cf\\U0001f3fc\\u200d\\u2642\|\\U0001f9cf\\U0001f3fd\\u200d\\u2642\|\\U0001f9cf\\U0001f3fe\\u200d\\u2642\|\\U0001f9cf\\U0001f3ff\\u200d\\u2642\|\\U0001f9cf\\u200d\\u2640\\ufe0f\|\\U0001f9cf\\U0001f3fb\\u200d\\u2640\|\\U0001f9cf\\U0001f3fc\\u200d\\u2640\|\\U0001f9cf\\U0001f3fd\\u200d\\u2640\|\\U0001f9cf\\U0001f3fe\\u200d\\u2640\|\\U0001f9cf\\U0001f3ff\\u200d\\u2640\|\\U0001f647\\u200d\\u2642\\ufe0f\|\\U0001f647\\U0001f3fb\\u200d\\u2642\|\\U0001f647\\U0001f3fc\\u200d\\u2642\|\\U0001f647\\U0001f3fd\\u200d\\u2642\|\\U0001f647\\U0001f3fe\\u200d\\u2642\|\\U0001f647\\U0001f3ff\\u200d\\u2642\|\\U0001f647\\u200d\\u2640\\ufe0f\|\\U0001f647\\U0001f3fb\\u200d\\u2640\|\\U0001f647\\U0001f3fc\\u200d\\u2640\|\\U0001f647\\U0001f3fd\\u200d\\u2640\|\\U0001f647\\U0001f3fe\\u200d\\u2640\|\\U0001f647\\U0001f3ff\\u200d\\u2640\|\\U0001f926\\u200d\\u2642\\ufe0f\|\\U0001f926\\U0001f3fb\\u200d\\u2642\|\\U0001f926\\U0001f3fc\\u200d\\u2642\|\\U0001f926\\U0001f3fd\\u200d\\u2642\|\\U0001f926\\U0001f3fe\\u200d\\u2642\|\\U0001f926\\U0001f3ff\\u200d\\u2642\|\\U0001f926\\u200d\\u2640\\ufe0f\|\\U0001f926\\U0001f3fb\\u200d\\u2640\|\\U0001f926\\U0001f3fc\\u200d\\u2640\|\\U0001f926\\U0001f3fd\\u200d\\u2640\|\\U0001f926\\U0001f3fe\\u200d\\u2640\|\\U0001f926\\U0001f3ff\\u200d\\u2640\|\\U0001f937\\u200d\\u2642\\ufe0f\|\\U0001f937\\U0001f3fb\\u200d\\u2642\|\\U0001f937\\U0001f3fc\\u200d\\u2642\|\\U0001f937\\U0001f3fd\\u200d\\u2642\|\\U0001f937\\U0001f3fe\\u200d\\u2642\|\\U0001f937\\U0001f3ff\\u200d\\u2642\|\\U0001f937\\u200d\\u2640\\ufe0f\|\\U0001f937\\U0001f3fb\\u200d\\u2640\|\\U0001f937\\U0001f3fc\\u200d\\u2640\|\\U0001f937\\U0001f3fd\\u200d\\u2640\|\\U0001f937\\U0001f3fe\\u200d\\u2640\|\\U0001f937\\U0001f3ff\\u200d\\u2640\|\\U0001f468\\u200d\\u2695\\ufe0f\|\\U0001f468\\U0001f3fb\\u200d\\u2695\|\\U0001f468\\U0001f3fc\\u200d\\u2695\|\\U0001f468\\U0001f3fd\\u200d\\u2695\|\\U0001f468\\U0001f3fe\\u200d\\u2695\|\\U0001f468\\U0001f3ff\\u200d\\u2695\|\\U0001f469\\u200d\\u2695\\ufe0f\|\\U0001f469\\U0001f3fb\\u200d\\u2695\|\\U0001f469\\U0001f3fc\\u200d\\u2695\|\\U0001f469\\U0001f3fd\\u200d\\u2695\|\\U0001f469\\U0001f3fe\\u200d\\u2695\|\\U0001f469\\U0001f3ff\\u200d\\u2695\|\\U0001f468\\U0001f3fb\\u200d\\U0001f393\|\\U0001f468\\U0001f3fc\\u200d\\U0001f393\|\\U0001f468\\U0001f3fd\\u200d\\U0001f393\|\\U0001f468\\U0001f3fe\\u200d\\U0001f393\|\\U0001f468\\U0001f3ff\\u200d\\U0001f393\|\\U0001f469\\U0001f3fb\\u200d\\U0001f393\|\\U0001f469\\U0001f3fc\\u200d\\U0001f393\|\\U0001f469\\U0001f3fd\\u200d\\U0001f393\|\\U0001f469\\U0001f3fe\\u200d\\U0001f393\|\\U0001f469\\U0001f3ff\\u200d\\U0001f393\|\\U0001f468\\U0001f3fb\\u200d\\U0001f3eb\|\\U0001f468\\U0001f3fc\\u200d\\U0001f3eb\|\\U0001f468\\U0001f3fd\\u200d\\U0001f3eb\|\\U0001f468\\U0001f3fe\\u200d\\U0001f3eb\|\\U0001f468\\U0001f3ff\\u200d\\U0001f3eb\|\\U0001f469\\U0001f3fb\\u200d\\U0001f3eb\|\\U0001f469\\U0001f3fc\\u200d\\U0001f3eb\|\\U0001f469\\U0001f3fd\\u200d\\U0001f3eb\|\\U0001f469\\U0001f3fe\\u200d\\U0001f3eb\|\\U0001f469\\U0001f3ff\\u200d\\U0001f3eb\|\\U0001f468\\u200d\\u2696\\ufe0f\|\\U0001f468\\U0001f3fb\\u200d\\u2696\|\\U0001f468\\U0001f3fc\\u200d\\u2696\|\\U0001f468\\U0001f3fd\\u200d\\u2696\|\\U0001f468\\U0001f3fe\\u200d\\u2696\|\\U0001f468\\U0001f3ff\\u200d\\u2696\|\\U0001f469\\u200d\\u2696\\ufe0f\|\\U0001f469\\U0001f3fb\\u200d\\u2696\|\\U0001f469\\U0001f3fc\\u200d\\u2696\|\\U0001f469\\U0001f3fd\\u200d\\u2696\|\\U0001f469\\U0001f3fe\\u200d\\u2696\|\\U0001f469\\U0001f3ff\\u200d\\u2696\|\\U0001f468\\U0001f3fb\\u200d\\U0001f33e\|\\U0001f468\\U0001f3fc\\u200d\\U0001f33e\|\\U0001f468\\U0001f3fd\\u200d\\U0001f33e\|\\U0001f468\\U0001f3fe\\u200d\\U0001f33e\|\\U0001f468\\U0001f3ff\\u200d\\U0001f33e\|\\U0001f469\\U0001f3fb\\u200d\\U0001f33e\|\\U0001f469\\U0001f3fc\\u200d\\U0001f33e\|\\U0001f469\\U0001f3fd\\u200d\\U0001f33e\|\\U0001f469\\U0001f3fe\\u200d\\U0001f33e\|\\U0001f469\\U0001f3ff\\u200d\\U0001f33e\|\\U0001f468\\U0001f3fb\\u200d\\U0001f373\|\\U0001f468\\U0001f3fc\\u200d\\U0001f373\|\\U0001f468\\U0001f3fd\\u200d\\U0001f373\|\\U0001f468\\U0001f3fe\\u200d\\U0001f373\|\\U0001f468\\U0001f3ff\\u200d\\U0001f373\|\\U0001f469\\U0001f3fb\\u200d\\U0001f373\|\\U0001f469\\U0001f3fc\\u200d\\U0001f373\|\\U0001f469\\U0001f3fd\\u200d\\U0001f373\|\\U0001f469\\U0001f3fe\\u200d\\U0001f373\|\\U0001f469\\U0001f3ff\\u200d\\U0001f373\|\\U0001f468\\U0001f3fb\\u200d\\U0001f527\|\\U0001f468\\U0001f3fc\\u200d\\U0001f527\|\\U0001f468\\U0001f3fd\\u200d\\U0001f527\|\\U0001f468\\U0001f3fe\\u200d\\U0001f527\|\\U0001f468\\U0001f3ff\\u200d\\U0001f527\|\\U0001f469\\U0001f3fb\\u200d\\U0001f527\|\\U0001f469\\U0001f3fc\\u200d\\U0001f527\|\\U0001f469\\U0001f3fd\\u200d\\U0001f527\|\\U0001f469\\U0001f3fe\\u200d\\U0001f527\|\\U0001f469\\U0001f3ff\\u200d\\U0001f527\|\\U0001f468\\U0001f3fb\\u200d\\U0001f3ed\|\\U0001f468\\U0001f3fc\\u200d\\U0001f3ed\|\\U0001f468\\U0001f3fd\\u200d\\U0001f3ed\|\\U0001f468\\U0001f3fe\\u200d\\U0001f3ed\|\\U0001f468\\U0001f3ff\\u200d\\U0001f3ed\|\\U0001f469\\U0001f3fb\\u200d\\U0001f3ed\|\\U0001f469\\U0001f3fc\\u200d\\U0001f3ed\|\\U0001f469\\U0001f3fd\\u200d\\U0001f3ed\|\\U0001f469\\U0001f3fe\\u200d\\U0001f3ed\|\\U0001f469\\U0001f3ff\\u200d\\U0001f3ed\|\\U0001f468\\U0001f3fb\\u200d\\U0001f4bc\|\\U0001f468\\U0001f3fc\\u200d\\U0001f4bc\|\\U0001f468\\U0001f3fd\\u200d\\U0001f4bc\|\\U0001f468\\U0001f3fe\\u200d\\U0001f4bc\|\\U0001f468\\U0001f3ff\\u200d\\U0001f4bc\|\\U0001f469\\U0001f3fb\\u200d\\U0001f4bc\|\\U0001f469\\U0001f3fc\\u200d\\U0001f4bc\|\\U0001f469\\U0001f3fd\\u200d\\U0001f4bc\|\\U0001f469\\U0001f3fe\\u200d\\U0001f4bc\|\\U0001f469\\U0001f3ff\\u200d\\U0001f4bc\|\\U0001f468\\U0001f3fb\\u200d\\U0001f52c\|\\U0001f468\\U0001f3fc\\u200d\\U0001f52c\|\\U0001f468\\U0001f3fd\\u200d\\U0001f52c\|\\U0001f468\\U0001f3fe\\u200d\\U0001f52c\|\\U0001f468\\U0001f3ff\\u200d\\U0001f52c\|\\U0001f469\\U0001f3fb\\u200d\\U0001f52c\|\\U0001f469\\U0001f3fc\\u200d\\U0001f52c\|\\U0001f469\\U0001f3fd\\u200d\\U0001f52c\|\\U0001f469\\U0001f3fe\\u200d\\U0001f52c\|\\U0001f469\\U0001f3ff\\u200d\\U0001f52c\|\\U0001f468\\U0001f3fb\\u200d\\U0001f4bb\|\\U0001f468\\U0001f3fc\\u200d\\U0001f4bb\|\\U0001f468\\U0001f3fd\\u200d\\U0001f4bb\|\\U0001f468\\U0001f3fe\\u200d\\U0001f4bb\|\\U0001f468\\U0001f3ff\\u200d\\U0001f4bb\|\\U0001f469\\U0001f3fb\\u200d\\U0001f4bb\|\\U0001f469\\U0001f3fc\\u200d\\U0001f4bb\|\\U0001f469\\U0001f3fd\\u200d\\U0001f4bb\|\\U0001f469\\U0001f3fe\\u200d\\U0001f4bb\|\\U0001f469\\U0001f3ff\\u200d\\U0001f4bb\|\\U0001f468\\U0001f3fb\\u200d\\U0001f3a4\|\\U0001f468\\U0001f3fc\\u200d\\U0001f3a4\|\\U0001f468\\U0001f3fd\\u200d\\U0001f3a4\|\\U0001f468\\U0001f3fe\\u200d\\U0001f3a4\|\\U0001f468\\U0001f3ff\\u200d\\U0001f3a4\|\\U0001f469\\U0001f3fb\\u200d\\U0001f3a4\|\\U0001f469\\U0001f3fc\\u200d\\U0001f3a4\|\\U0001f469\\U0001f3fd\\u200d\\U0001f3a4\|\\U0001f469\\U0001f3fe\\u200d\\U0001f3a4\|\\U0001f469\\U0001f3ff\\u200d\\U0001f3a4\|\\U0001f468\\U0001f3fb\\u200d\\U0001f3a8\|\\U0001f468\\U0001f3fc\\u200d\\U0001f3a8\|\\U0001f468\\U0001f3fd\\u200d\\U0001f3a8\|\\U0001f468\\U0001f3fe\\u200d\\U0001f3a8\|\\U0001f468\\U0001f3ff\\u200d\\U0001f3a8\|\\U0001f469\\U0001f3fb\\u200d\\U0001f3a8\|\\U0001f469\\U0001f3fc\\u200d\\U0001f3a8\|\\U0001f469\\U0001f3fd\\u200d\\U0001f3a8\|\\U0001f469\\U0001f3fe\\u200d\\U0001f3a8\|\\U0001f469\\U0001f3ff\\u200d\\U0001f3a8\|\\U0001f468\\u200d\\u2708\\ufe0f\|\\U0001f468\\U0001f3fb\\u200d\\u2708\|\\U0001f468\\U0001f3fc\\u200d\\u2708\|\\U0001f468\\U0001f3fd\\u200d\\u2708\|\\U0001f468\\U0001f3fe\\u200d\\u2708\|\\U0001f468\\U0001f3ff\\u200d\\u2708\|\\U0001f469\\u200d\\u2708\\ufe0f\|\\U0001f469\\U0001f3fb\\u200d\\u2708\|\\U0001f469\\U0001f3fc\\u200d\\u2708\|\\U0001f469\\U0001f3fd\\u200d\\u2708\|\\U0001f469\\U0001f3fe\\u200d\\u2708\|\\U0001f469\\U0001f3ff\\u200d\\u2708\|\\U0001f468\\U0001f3fb\\u200d\\U0001f680\|\\U0001f468\\U0001f3fc\\u200d\\U0001f680\|\\U0001f468\\U0001f3fd\\u200d\\U0001f680\|\\U0001f468\\U0001f3fe\\u200d\\U0001f680\|\\U0001f468\\U0001f3ff\\u200d\\U0001f680\|\\U0001f469\\U0001f3fb\\u200d\\U0001f680\|\\U0001f469\\U0001f3fc\\u200d\\U0001f680\|\\U0001f469\\U0001f3fd\\u200d\\U0001f680\|\\U0001f469\\U0001f3fe\\u200d\\U0001f680\|\\U0001f469\\U0001f3ff\\u200d\\U0001f680\|\\U0001f468\\U0001f3fb\\u200d\\U0001f692\|\\U0001f468\\U0001f3fc\\u200d\\U0001f692\|\\U0001f468\\U0001f3fd\\u200d\\U0001f692\|\\U0001f468\\U0001f3fe\\u200d\\U0001f692\|\\U0001f468\\U0001f3ff\\u200d\\U0001f692\|\\U0001f469\\U0001f3fb\\u200d\\U0001f692\|\\U0001f469\\U0001f3fc\\u200d\\U0001f692\|\\U0001f469\\U0001f3fd\\u200d\\U0001f692\|\\U0001f469\\U0001f3fe\\u200d\\U0001f692\|\\U0001f469\\U0001f3ff\\u200d\\U0001f692\|\\U0001f46e\\u200d\\u2642\\ufe0f\|\\U0001f46e\\U0001f3fb\\u200d\\u2642\|\\U0001f46e\\U0001f3fc\\u200d\\u2642\|\\U0001f46e\\U0001f3fd\\u200d\\u2642\|\\U0001f46e\\U0001f3fe\\u200d\\u2642\|\\U0001f46e\\U0001f3ff\\u200d\\u2642\|\\U0001f46e\\u200d\\u2640\\ufe0f\|\\U0001f46e\\U0001f3fb\\u200d\\u2640\|\\U0001f46e\\U0001f3fc\\u200d\\u2640\|\\U0001f46e\\U0001f3fd\\u200d\\u2640\|\\U0001f46e\\U0001f3fe\\u200d\\u2640\|\\U0001f46e\\U0001f3ff\\u200d\\u2640\|\\U0001f575\\u200d\\u2642\\ufe0f\|\\U0001f575\\ufe0f\\u200d\\u2642\|\\U0001f575\\U0001f3fb\\u200d\\u2642\|\\U0001f575\\U0001f3fc\\u200d\\u2642\|\\U0001f575\\U0001f3fd\\u200d\\u2642\|\\U0001f575\\U0001f3fe\\u200d\\u2642\|\\U0001f575\\U0001f3ff\\u200d\\u2642\|\\U0001f575\\u200d\\u2640\\ufe0f\|\\U0001f575\\ufe0f\\u200d\\u2640\|\\U0001f575\\U0001f3fb\\u200d\\u2640\|\\U0001f575\\U0001f3fc\\u200d\\u2640\|\\U0001f575\\U0001f3fd\\u200d\\u2640\|\\U0001f575\\U0001f3fe\\u200d\\u2640\|\\U0001f575\\U0001f3ff\\u200d\\u2640\|\\U0001f482\\u200d\\u2642\\ufe0f\|\\U0001f482\\U0001f3fb\\u200d\\u2642\|\\U0001f482\\U0001f3fc\\u200d\\u2642\|\\U0001f482\\U0001f3fd\\u200d\\u2642\|\\U0001f482\\U0001f3fe\\u200d\\u2642\|\\U0001f482\\U0001f3ff\\u200d\\u2642\|\\U0001f482\\u200d\\u2640\\ufe0f\|\\U0001f482\\U0001f3fb\\u200d\\u2640\|\\U0001f482\\U0001f3fc\\u200d\\u2640\|\\U0001f482\\U0001f3fd\\u200d\\u2640\|\\U0001f482\\U0001f3fe\\u200d\\u2640\|\\U0001f482\\U0001f3ff\\u200d\\u2640\|\\U0001f477\\u200d\\u2642\\ufe0f\|\\U0001f477\\U0001f3fb\\u200d\\u2642\|\\U0001f477\\U0001f3fc\\u200d\\u2642\|\\U0001f477\\U0001f3fd\\u200d\\u2642\|\\U0001f477\\U0001f3fe\\u200d\\u2642\|\\U0001f477\\U0001f3ff\\u200d\\u2642\|\\U0001f477\\u200d\\u2640\\ufe0f\|\\U0001f477\\U0001f3fb\\u200d\\u2640\|\\U0001f477\\U0001f3fc\\u200d\\u2640\|\\U0001f477\\U0001f3fd\\u200d\\u2640\|\\U0001f477\\U0001f3fe\\u200d\\u2640\|\\U0001f477\\U0001f3ff\\u200d\\u2640\|\\U0001f473\\u200d\\u2642\\ufe0f\|\\U0001f473\\U0001f3fb\\u200d\\u2642\|\\U0001f473\\U0001f3fc\\u200d\\u2642\|\\U0001f473\\U0001f3fd\\u200d\\u2642\|\\U0001f473\\U0001f3fe\\u200d\\u2642\|\\U0001f473\\U0001f3ff\\u200d\\u2642\|\\U0001f473\\u200d\\u2640\\ufe0f\|\\U0001f473\\U0001f3fb\\u200d\\u2640\|\\U0001f473\\U0001f3fc\\u200d\\u2640\|\\U0001f473\\U0001f3fd\\u200d\\u2640\|\\U0001f473\\U0001f3fe\\u200d\\u2640\|\\U0001f473\\U0001f3ff\\u200d\\u2640\|\\U0001f9b8\\u200d\\u2642\\ufe0f\|\\U0001f9b8\\U0001f3fb\\u200d\\u2642\|\\U0001f9b8\\U0001f3fc\\u200d\\u2642\|\\U0001f9b8\\U0001f3fd\\u200d\\u2642\|\\U0001f9b8\\U0001f3fe\\u200d\\u2642\|\\U0001f9b8\\U0001f3ff\\u200d\\u2642\|\\U0001f9b8\\u200d\\u2640\\ufe0f\|\\U0001f9b8\\U0001f3fb\\u200d\\u2640\|\\U0001f9b8\\U0001f3fc\\u200d\\u2640\|\\U0001f9b8\\U0001f3fd\\u200d\\u2640\|\\U0001f9b8\\U0001f3fe\\u200d\\u2640\|\\U0001f9b8\\U0001f3ff\\u200d\\u2640\|\\U0001f9b9\\u200d\\u2642\\ufe0f\|\\U0001f9b9\\U0001f3fb\\u200d\\u2642\|\\U0001f9b9\\U0001f3fc\\u200d\\u2642\|\\U0001f9b9\\U0001f3fd\\u200d\\u2642\|\\U0001f9b9\\U0001f3fe\\u200d\\u2642\|\\U0001f9b9\\U0001f3ff\\u200d\\u2642\|\\U0001f9b9\\u200d\\u2640\\ufe0f\|\\U0001f9b9\\U0001f3fb\\u200d\\u2640\|\\U0001f9b9\\U0001f3fc\\u200d\\u2640\|\\U0001f9b9\\U0001f3fd\\u200d\\u2640\|\\U0001f9b9\\U0001f3fe\\u200d\\u2640\|\\U0001f9b9\\U0001f3ff\\u200d\\u2640\|\\U0001f9d9\\u200d\\u2642\\ufe0f\|\\U0001f9d9\\U0001f3fb\\u200d\\u2642\|\\U0001f9d9\\U0001f3fc\\u200d\\u2642\|\\U0001f9d9\\U0001f3fd\\u200d\\u2642\|\\U0001f9d9\\U0001f3fe\\u200d\\u2642\|\\U0001f9d9\\U0001f3ff\\u200d\\u2642\|\\U0001f9d9\\u200d\\u2640\\ufe0f\|\\U0001f9d9\\U0001f3fb\\u200d\\u2640\|\\U0001f9d9\\U0001f3fc\\u200d\\u2640\|\\U0001f9d9\\U0001f3fd\\u200d\\u2640\|\\U0001f9d9\\U0001f3fe\\u200d\\u2640\|\\U0001f9d9\\U0001f3ff\\u200d\\u2640\|\\U0001f9da\\u200d\\u2642\\ufe0f\|\\U0001f9da\\U0001f3fb\\u200d\\u2642\|\\U0001f9da\\U0001f3fc\\u200d\\u2642\|\\U0001f9da\\U0001f3fd\\u200d\\u2642\|\\U0001f9da\\U0001f3fe\\u200d\\u2642\|\\U0001f9da\\U0001f3ff\\u200d\\u2642\|\\U0001f9da\\u200d\\u2640\\ufe0f\|\\U0001f9da\\U0001f3fb\\u200d\\u2640\|\\U0001f9da\\U0001f3fc\\u200d\\u2640\|\\U0001f9da\\U0001f3fd\\u200d\\u2640\|\\U0001f9da\\U0001f3fe\\u200d\\u2640\|\\U0001f9da\\U0001f3ff\\u200d\\u2640\|\\U0001f9db\\u200d\\u2642\\ufe0f\|\\U0001f9db\\U0001f3fb\\u200d\\u2642\|\\U0001f9db\\U0001f3fc\\u200d\\u2642\|\\U0001f9db\\U0001f3fd\\u200d\\u2642\|\\U0001f9db\\U0001f3fe\\u200d\\u2642\|\\U0001f9db\\U0001f3ff\\u200d\\u2642\|\\U0001f9db\\u200d\\u2640\\ufe0f\|\\U0001f9db\\U0001f3fb\\u200d\\u2640\|\\U0001f9db\\U0001f3fc\\u200d\\u2640\|\\U0001f9db\\U0001f3fd\\u200d\\u2640\|\\U0001f9db\\U0001f3fe\\u200d\\u2640\|\\U0001f9db\\U0001f3ff\\u200d\\u2640\|\\U0001f9dc\\u200d\\u2642\\ufe0f\|\\U0001f9dc\\U0001f3fb\\u200d\\u2642\|\\U0001f9dc\\U0001f3fc\\u200d\\u2642\|\\U0001f9dc\\U0001f3fd\\u200d\\u2642\|\\U0001f9dc\\U0001f3fe\\u200d\\u2642\|\\U0001f9dc\\U0001f3ff\\u200d\\u2642\|\\U0001f9dc\\u200d\\u2640\\ufe0f\|\\U0001f9dc\\U0001f3fb\\u200d\\u2640\|\\U0001f9dc\\U0001f3fc\\u200d\\u2640\|\\U0001f9dc\\U0001f3fd\\u200d\\u2640\|\\U0001f9dc\\U0001f3fe\\u200d\\u2640\|\\U0001f9dc\\U0001f3ff\\u200d\\u2640\|\\U0001f9dd\\u200d\\u2642\\ufe0f\|\\U0001f9dd\\U0001f3fb\\u200d\\u2642\|\\U0001f9dd\\U0001f3fc\\u200d\\u2642\|\\U0001f9dd\\U0001f3fd\\u200d\\u2642\|\\U0001f9dd\\U0001f3fe\\u200d\\u2642\|\\U0001f9dd\\U0001f3ff\\u200d\\u2642\|\\U0001f9dd\\u200d\\u2640\\ufe0f\|\\U0001f9dd\\U0001f3fb\\u200d\\u2640\|\\U0001f9dd\\U0001f3fc\\u200d\\u2640\|\\U0001f9dd\\U0001f3fd\\u200d\\u2640\|\\U0001f9dd\\U0001f3fe\\u200d\\u2640\|\\U0001f9dd\\U0001f3ff\\u200d\\u2640\|\\U0001f9de\\u200d\\u2642\\ufe0f\|\\U0001f9de\\u200d\\u2640\\ufe0f\|\\U0001f9df\\u200d\\u2642\\ufe0f\|\\U0001f9df\\u200d\\u2640\\ufe0f\|\\U0001f486\\u200d\\u2642\\ufe0f\|\\U0001f486\\U0001f3fb\\u200d\\u2642\|\\U0001f486\\U0001f3fc\\u200d\\u2642\|\\U0001f486\\U0001f3fd\\u200d\\u2642\|\\U0001f486\\U0001f3fe\\u200d\\u2642\|\\U0001f486\\U0001f3ff\\u200d\\u2642\|\\U0001f486\\u200d\\u2640\\ufe0f\|\\U0001f486\\U0001f3fb\\u200d\\u2640\|\\U0001f486\\U0001f3fc\\u200d\\u2640\|\\U0001f486\\U0001f3fd\\u200d\\u2640\|\\U0001f486\\U0001f3fe\\u200d\\u2640\|\\U0001f486\\U0001f3ff\\u200d\\u2640\|\\U0001f487\\u200d\\u2642\\ufe0f\|\\U0001f487\\U0001f3fb\\u200d\\u2642\|\\U0001f487\\U0001f3fc\\u200d\\u2642\|\\U0001f487\\U0001f3fd\\u200d\\u2642\|\\U0001f487\\U0001f3fe\\u200d\\u2642\|\\U0001f487\\U0001f3ff\\u200d\\u2642\|\\U0001f487\\u200d\\u2640\\ufe0f\|\\U0001f487\\U0001f3fb\\u200d\\u2640\|\\U0001f487\\U0001f3fc\\u200d\\u2640\|\\U0001f487\\U0001f3fd\\u200d\\u2640\|\\U0001f487\\U0001f3fe\\u200d\\u2640\|\\U0001f487\\U0001f3ff\\u200d\\u2640\|\\U0001f6b6\\u200d\\u2642\\ufe0f\|\\U0001f6b6\\U0001f3fb\\u200d\\u2642\|\\U0001f6b6\\U0001f3fc\\u200d\\u2642\|\\U0001f6b6\\U0001f3fd\\u200d\\u2642\|\\U0001f6b6\\U0001f3fe\\u200d\\u2642\|\\U0001f6b6\\U0001f3ff\\u200d\\u2642\|\\U0001f6b6\\u200d\\u2640\\ufe0f\|\\U0001f6b6\\U0001f3fb\\u200d\\u2640\|\\U0001f6b6\\U0001f3fc\\u200d\\u2640\|\\U0001f6b6\\U0001f3fd\\u200d\\u2640\|\\U0001f6b6\\U0001f3fe\\u200d\\u2640\|\\U0001f6b6\\U0001f3ff\\u200d\\u2640\|\\U0001f9cd\\u200d\\u2642\\ufe0f\|\\U0001f9cd\\U0001f3fb\\u200d\\u2642\|\\U0001f9cd\\U0001f3fc\\u200d\\u2642\|\\U0001f9cd\\U0001f3fd\\u200d\\u2642\|\\U0001f9cd\\U0001f3fe\\u200d\\u2642\|\\U0001f9cd\\U0001f3ff\\u200d\\u2642\|\\U0001f9cd\\u200d\\u2640\\ufe0f\|\\U0001f9cd\\U0001f3fb\\u200d\\u2640\|\\U0001f9cd\\U0001f3fc\\u200d\\u2640\|\\U0001f9cd\\U0001f3fd\\u200d\\u2640\|\\U0001f9cd\\U0001f3fe\\u200d\\u2640\|\\U0001f9cd\\U0001f3ff\\u200d\\u2640\|\\U0001f9ce\\u200d\\u2642\\ufe0f\|\\U0001f9ce\\U0001f3fb\\u200d\\u2642\|\\U0001f9ce\\U0001f3fc\\u200d\\u2642\|\\U0001f9ce\\U0001f3fd\\u200d\\u2642\|\\U0001f9ce\\U0001f3fe\\u200d\\u2642\|\\U0001f9ce\\U0001f3ff\\u200d\\u2642\|\\U0001f9ce\\u200d\\u2640\\ufe0f\|\\U0001f9ce\\U0001f3fb\\u200d\\u2640\|\\U0001f9ce\\U0001f3fc\\u200d\\u2640\|\\U0001f9ce\\U0001f3fd\\u200d\\u2640\|\\U0001f9ce\\U0001f3fe\\u200d\\u2640\|\\U0001f9ce\\U0001f3ff\\u200d\\u2640\|\\U0001f468\\U0001f3fb\\u200d\\U0001f9af\|\\U0001f468\\U0001f3fc\\u200d\\U0001f9af\|\\U0001f468\\U0001f3fd\\u200d\\U0001f9af\|\\U0001f468\\U0001f3fe\\u200d\\U0001f9af\|\\U0001f468\\U0001f3ff\\u200d\\U0001f9af\|\\U0001f469\\U0001f3fb\\u200d\\U0001f9af\|\\U0001f469\\U0001f3fc\\u200d\\U0001f9af\|\\U0001f469\\U0001f3fd\\u200d\\U0001f9af\|\\U0001f469\\U0001f3fe\\u200d\\U0001f9af\|\\U0001f469\\U0001f3ff\\u200d\\U0001f9af\|\\U0001f468\\U0001f3fb\\u200d\\U0001f9bc\|\\U0001f468\\U0001f3fc\\u200d\\U0001f9bc\|\\U0001f468\\U0001f3fd\\u200d\\U0001f9bc\|\\U0001f468\\U0001f3fe\\u200d\\U0001f9bc\|\\U0001f468\\U0001f3ff\\u200d\\U0001f9bc\|\\U0001f469\\U0001f3fb\\u200d\\U0001f9bc\|\\U0001f469\\U0001f3fc\\u200d\\U0001f9bc\|\\U0001f469\\U0001f3fd\\u200d\\U0001f9bc\|\\U0001f469\\U0001f3fe\\u200d\\U0001f9bc\|\\U0001f469\\U0001f3ff\\u200d\\U0001f9bc\|\\U0001f468\\U0001f3fb\\u200d\\U0001f9bd\|\\U0001f468\\U0001f3fc\\u200d\\U0001f9bd\|\\U0001f468\\U0001f3fd\\u200d\\U0001f9bd\|\\U0001f468\\U0001f3fe\\u200d\\U0001f9bd\|\\U0001f468\\U0001f3ff\\u200d\\U0001f9bd\|\\U0001f469\\U0001f3fb\\u200d\\U0001f9bd\|\\U0001f469\\U0001f3fc\\u200d\\U0001f9bd\|\\U0001f469\\U0001f3fd\\u200d\\U0001f9bd\|\\U0001f469\\U0001f3fe\\u200d\\U0001f9bd\|\\U0001f469\\U0001f3ff\\u200d\\U0001f9bd\|\\U0001f3c3\\u200d\\u2642\\ufe0f\|\\U0001f3c3\\U0001f3fb\\u200d\\u2642\|\\U0001f3c3\\U0001f3fc\\u200d\\u2642\|\\U0001f3c3\\U0001f3fd\\u200d\\u2642\|\\U0001f3c3\\U0001f3fe\\u200d\\u2642\|\\U0001f3c3\\U0001f3ff\\u200d\\u2642\|\\U0001f3c3\\u200d\\u2640\\ufe0f\|\\U0001f3c3\\U0001f3fb\\u200d\\u2640\|\\U0001f3c3\\U0001f3fc\\u200d\\u2640\|\\U0001f3c3\\U0001f3fd\\u200d\\u2640\|\\U0001f3c3\\U0001f3fe\\u200d\\u2640\|\\U0001f3c3\\U0001f3ff\\u200d\\u2640\|\\U0001f46f\\u200d\\u2642\\ufe0f\|\\U0001f46f\\u200d\\u2640\\ufe0f\|\\U0001f9d6\\u200d\\u2642\\ufe0f\|\\U0001f9d6\\U0001f3fb\\u200d\\u2642\|\\U0001f9d6\\U0001f3fc\\u200d\\u2642\|\\U0001f9d6\\U0001f3fd\\u200d\\u2642\|\\U0001f9d6\\U0001f3fe\\u200d\\u2642\|\\U0001f9d6\\U0001f3ff\\u200d\\u2642\|\\U0001f9d6\\u200d\\u2640\\ufe0f\|\\U0001f9d6\\U0001f3fb\\u200d\\u2640\|\\U0001f9d6\\U0001f3fc\\u200d\\u2640\|\\U0001f9d6\\U0001f3fd\\u200d\\u2640\|\\U0001f9d6\\U0001f3fe\\u200d\\u2640\|\\U0001f9d6\\U0001f3ff\\u200d\\u2640\|\\U0001f9d7\\u200d\\u2642\\ufe0f\|\\U0001f9d7\\U0001f3fb\\u200d\\u2642\|\\U0001f9d7\\U0001f3fc\\u200d\\u2642\|\\U0001f9d7\\U0001f3fd\\u200d\\u2642\|\\U0001f9d7\\U0001f3fe\\u200d\\u2642\|\\U0001f9d7\\U0001f3ff\\u200d\\u2642\|\\U0001f9d7\\u200d\\u2640\\ufe0f\|\\U0001f9d7\\U0001f3fb\\u200d\\u2640\|\\U0001f9d7\\U0001f3fc\\u200d\\u2640\|\\U0001f9d7\\U0001f3fd\\u200d\\u2640\|\\U0001f9d7\\U0001f3fe\\u200d\\u2640\|\\U0001f9d7\\U0001f3ff\\u200d\\u2640\|\\U0001f3cc\\u200d\\u2642\\ufe0f\|\\U0001f3cc\\ufe0f\\u200d\\u2642\|\\U0001f3cc\\U0001f3fb\\u200d\\u2642\|\\U0001f3cc\\U0001f3fc\\u200d\\u2642\|\\U0001f3cc\\U0001f3fd\\u200d\\u2642\|\\U0001f3cc\\U0001f3fe\\u200d\\u2642\|\\U0001f3cc\\U0001f3ff\\u200d\\u2642\|\\U0001f3cc\\u200d\\u2640\\ufe0f\|\\U0001f3cc\\ufe0f\\u200d\\u2640\|\\U0001f3cc\\U0001f3fb\\u200d\\u2640\|\\U0001f3cc\\U0001f3fc\\u200d\\u2640\|\\U0001f3cc\\U0001f3fd\\u200d\\u2640\|\\U0001f3cc\\U0001f3fe\\u200d\\u2640\|\\U0001f3cc\\U0001f3ff\\u200d\\u2640\|\\U0001f3c4\\u200d\\u2642\\ufe0f\|\\U0001f3c4\\U0001f3fb\\u200d\\u2642\|\\U0001f3c4\\U0001f3fc\\u200d\\u2642\|\\U0001f3c4\\U0001f3fd\\u200d\\u2642\|\\U0001f3c4\\U0001f3fe\\u200d\\u2642\|\\U0001f3c4\\U0001f3ff\\u200d\\u2642\|\\U0001f3c4\\u200d\\u2640\\ufe0f\|\\U0001f3c4\\U0001f3fb\\u200d\\u2640\|\\U0001f3c4\\U0001f3fc\\u200d\\u2640\|\\U0001f3c4\\U0001f3fd\\u200d\\u2640\|\\U0001f3c4\\U0001f3fe\\u200d\\u2640\|\\U0001f3c4\\U0001f3ff\\u200d\\u2640\|\\U0001f6a3\\u200d\\u2642\\ufe0f\|\\U0001f6a3\\U0001f3fb\\u200d\\u2642\|\\U0001f6a3\\U0001f3fc\\u200d\\u2642\|\\U0001f6a3\\U0001f3fd\\u200d\\u2642\|\\U0001f6a3\\U0001f3fe\\u200d\\u2642\|\\U0001f6a3\\U0001f3ff\\u200d\\u2642\|\\U0001f6a3\\u200d\\u2640\\ufe0f\|\\U0001f6a3\\U0001f3fb\\u200d\\u2640\|\\U0001f6a3\\U0001f3fc\\u200d\\u2640\|\\U0001f6a3\\U0001f3fd\\u200d\\u2640\|\\U0001f6a3\\U0001f3fe\\u200d\\u2640\|\\U0001f6a3\\U0001f3ff\\u200d\\u2640\|\\U0001f3ca\\u200d\\u2642\\ufe0f\|\\U0001f3ca\\U0001f3fb\\u200d\\u2642\|\\U0001f3ca\\U0001f3fc\\u200d\\u2642\|\\U0001f3ca\\U0001f3fd\\u200d\\u2642\|\\U0001f3ca\\U0001f3fe\\u200d\\u2642\|\\U0001f3ca\\U0001f3ff\\u200d\\u2642\|\\U0001f3ca\\u200d\\u2640\\ufe0f\|\\U0001f3ca\\U0001f3fb\\u200d\\u2640\|\\U0001f3ca\\U0001f3fc\\u200d\\u2640\|\\U0001f3ca\\U0001f3fd\\u200d\\u2640\|\\U0001f3ca\\U0001f3fe\\u200d\\u2640\|\\U0001f3ca\\U0001f3ff\\u200d\\u2640\|\\u26f9\\u200d\\u2642\\ufe0f\|\\u26f9\\ufe0f\\u200d\\u2642\|\\u26f9\\U0001f3fb\\u200d\\u2642\|\\u26f9\\U0001f3fc\\u200d\\u2642\|\\u26f9\\U0001f3fd\\u200d\\u2642\|\\u26f9\\U0001f3fe\\u200d\\u2642\|\\u26f9\\U0001f3ff\\u200d\\u2642\|\\u26f9\\u200d\\u2640\\ufe0f\|\\u26f9\\ufe0f\\u200d\\u2640\|\\u26f9\\U0001f3fb\\u200d\\u2640\|\\u26f9\\U0001f3fc\\u200d\\u2640\|\\u26f9\\U0001f3fd\\u200d\\u2640\|\\u26f9\\U0001f3fe\\u200d\\u2640\|\\u26f9\\U0001f3ff\\u200d\\u2640\|\\U0001f3cb\\u200d\\u2642\\ufe0f\|\\U0001f3cb\\ufe0f\\u200d\\u2642\|\\U0001f3cb\\U0001f3fb\\u200d\\u2642\|\\U0001f3cb\\U0001f3fc\\u200d\\u2642\|\\U0001f3cb\\U0001f3fd\\u200d\\u2642\|\\U0001f3cb\\U0001f3fe\\u200d\\u2642\|\\U0001f3cb\\U0001f3ff\\u200d\\u2642\|\\U0001f3cb\\u200d\\u2640\\ufe0f\|\\U0001f3cb\\ufe0f\\u200d\\u2640\|\\U0001f3cb\\U0001f3fb\\u200d\\u2640\|\\U0001f3cb\\U0001f3fc\\u200d\\u2640\|\\U0001f3cb\\U0001f3fd\\u200d\\u2640\|\\U0001f3cb\\U0001f3fe\\u200d\\u2640\|\\U0001f3cb\\U0001f3ff\\u200d\\u2640\|\\U0001f6b4\\u200d\\u2642\\ufe0f\|\\U0001f6b4\\U0001f3fb\\u200d\\u2642\|\\U0001f6b4\\U0001f3fc\\u200d\\u2642\|\\U0001f6b4\\U0001f3fd\\u200d\\u2642\|\\U0001f6b4\\U0001f3fe\\u200d\\u2642\|\\U0001f6b4\\U0001f3ff\\u200d\\u2642\|\\U0001f6b4\\u200d\\u2640\\ufe0f\|\\U0001f6b4\\U0001f3fb\\u200d\\u2640\|\\U0001f6b4\\U0001f3fc\\u200d\\u2640\|\\U0001f6b4\\U0001f3fd\\u200d\\u2640\|\\U0001f6b4\\U0001f3fe\\u200d\\u2640\|\\U0001f6b4\\U0001f3ff\\u200d\\u2640\|\\U0001f6b5\\u200d\\u2642\\ufe0f\|\\U0001f6b5\\U0001f3fb\\u200d\\u2642\|\\U0001f6b5\\U0001f3fc\\u200d\\u2642\|\\U0001f6b5\\U0001f3fd\\u200d\\u2642\|\\U0001f6b5\\U0001f3fe\\u200d\\u2642\|\\U0001f6b5\\U0001f3ff\\u200d\\u2642\|\\U0001f6b5\\u200d\\u2640\\ufe0f\|\\U0001f6b5\\U0001f3fb\\u200d\\u2640\|\\U0001f6b5\\U0001f3fc\\u200d\\u2640\|\\U0001f6b5\\U0001f3fd\\u200d\\u2640\|\\U0001f6b5\\U0001f3fe\\u200d\\u2640\|\\U0001f6b5\\U0001f3ff\\u200d\\u2640\|\\U0001f938\\u200d\\u2642\\ufe0f\|\\U0001f938\\U0001f3fb\\u200d\\u2642\|\\U0001f938\\U0001f3fc\\u200d\\u2642\|\\U0001f938\\U0001f3fd\\u200d\\u2642\|\\U0001f938\\U0001f3fe\\u200d\\u2642\|\\U0001f938\\U0001f3ff\\u200d\\u2642\|\\U0001f938\\u200d\\u2640\\ufe0f\|\\U0001f938\\U0001f3fb\\u200d\\u2640\|\\U0001f938\\U0001f3fc\\u200d\\u2640\|\\U0001f938\\U0001f3fd\\u200d\\u2640\|\\U0001f938\\U0001f3fe\\u200d\\u2640\|\\U0001f938\\U0001f3ff\\u200d\\u2640\|\\U0001f93c\\u200d\\u2642\\ufe0f\|\\U0001f93c\\u200d\\u2640\\ufe0f\|\\U0001f93d\\u200d\\u2642\\ufe0f\|\\U0001f93d\\U0001f3fb\\u200d\\u2642\|\\U0001f93d\\U0001f3fc\\u200d\\u2642\|\\U0001f93d\\U0001f3fd\\u200d\\u2642\|\\U0001f93d\\U0001f3fe\\u200d\\u2642\|\\U0001f93d\\U0001f3ff\\u200d\\u2642\|\\U0001f93d\\u200d\\u2640\\ufe0f\|\\U0001f93d\\U0001f3fb\\u200d\\u2640\|\\U0001f93d\\U0001f3fc\\u200d\\u2640\|\\U0001f93d\\U0001f3fd\\u200d\\u2640\|\\U0001f93d\\U0001f3fe\\u200d\\u2640\|\\U0001f93d\\U0001f3ff\\u200d\\u2640\|\\U0001f93e\\u200d\\u2642\\ufe0f\|\\U0001f93e\\U0001f3fb\\u200d\\u2642\|\\U0001f93e\\U0001f3fc\\u200d\\u2642\|\\U0001f93e\\U0001f3fd\\u200d\\u2642\|\\U0001f93e\\U0001f3fe\\u200d\\u2642\|\\U0001f93e\\U0001f3ff\\u200d\\u2642\|\\U0001f93e\\u200d\\u2640\\ufe0f\|\\U0001f93e\\U0001f3fb\\u200d\\u2640\|\\U0001f93e\\U0001f3fc\\u200d\\u2640\|\\U0001f93e\\U0001f3fd\\u200d\\u2640\|\\U0001f93e\\U0001f3fe\\u200d\\u2640\|\\U0001f93e\\U0001f3ff\\u200d\\u2640\|\\U0001f939\\u200d\\u2642\\ufe0f\|\\U0001f939\\U0001f3fb\\u200d\\u2642\|\\U0001f939\\U0001f3fc\\u200d\\u2642\|\\U0001f939\\U0001f3fd\\u200d\\u2642\|\\U0001f939\\U0001f3fe\\u200d\\u2642\|\\U0001f939\\U0001f3ff\\u200d\\u2642\|\\U0001f939\\u200d\\u2640\\ufe0f\|\\U0001f939\\U0001f3fb\\u200d\\u2640\|\\U0001f939\\U0001f3fc\\u200d\\u2640\|\\U0001f939\\U0001f3fd\\u200d\\u2640\|\\U0001f939\\U0001f3fe\\u200d\\u2640\|\\U0001f939\\U0001f3ff\\u200d\\u2640\|\\U0001f9d8\\u200d\\u2642\\ufe0f\|\\U0001f9d8\\U0001f3fb\\u200d\\u2642\|\\U0001f9d8\\U0001f3fc\\u200d\\u2642\|\\U0001f9d8\\U0001f3fd\\u200d\\u2642\|\\U0001f9d8\\U0001f3fe\\u200d\\u2642\|\\U0001f9d8\\U0001f3ff\\u200d\\u2642\|\\U0001f9d8\\u200d\\u2640\\ufe0f\|\\U0001f9d8\\U0001f3fb\\u200d\\u2640\|\\U0001f9d8\\U0001f3fc\\u200d\\u2640\|\\U0001f9d8\\U0001f3fd\\u200d\\u2640\|\\U0001f9d8\\U0001f3fe\\u200d\\u2640\|\\U0001f9d8\\U0001f3ff\\u200d\\u2640\|\\U0001f3f3\\ufe0f\\u200d\\U0001f308\|\\U0001f3f4\\u200d\\u2620\\ufe0f\|\\U0001f441\\u200d\\U0001f5e8\|\\U0001f471\\u200d\\u2642\|\\U0001f468\\u200d\\U0001f9b0\|\\U0001f468\\u200d\\U0001f9b1\|\\U0001f468\\u200d\\U0001f9b3\|\\U0001f468\\u200d\\U0001f9b2\|\\U0001f471\\u200d\\u2640\|\\U0001f469\\u200d\\U0001f9b0\|\\U0001f469\\u200d\\U0001f9b1\|\\U0001f469\\u200d\\U0001f9b3\|\\U0001f469\\u200d\\U0001f9b2\|\\U0001f64d\\u200d\\u2642\|\\U0001f64d\\u200d\\u2640\|\\U0001f64e\\u200d\\u2642\|\\U0001f64e\\u200d\\u2640\|\\U0001f645\\u200d\\u2642\|\\U0001f645\\u200d\\u2640\|\\U0001f646\\u200d\\u2642\|\\U0001f646\\u200d\\u2640\|\\U0001f481\\u200d\\u2642\|\\U0001f481\\u200d\\u2640\|\\U0001f64b\\u200d\\u2642\|\\U0001f64b\\u200d\\u2640\|\\U0001f9cf\\u200d\\u2642\|\\U0001f9cf\\u200d\\u2640\|\\U0001f647\\u200d\\u2642\|\\U0001f647\\u200d\\u2640\|\\U0001f926\\u200d\\u2642\|\\U0001f926\\u200d\\u2640\|\\U0001f937\\u200d\\u2642\|\\U0001f937\\u200d\\u2640\|\\U0001f468\\u200d\\u2695\|\\U0001f469\\u200d\\u2695\|\\U0001f468\\u200d\\U0001f393\|\\U0001f469\\u200d\\U0001f393\|\\U0001f468\\u200d\\U0001f3eb\|\\U0001f469\\u200d\\U0001f3eb\|\\U0001f468\\u200d\\u2696\|\\U0001f469\\u200d\\u2696\|\\U0001f468\\u200d\\U0001f33e\|\\U0001f469\\u200d\\U0001f33e\|\\U0001f468\\u200d\\U0001f373\|\\U0001f469\\u200d\\U0001f373\|\\U0001f468\\u200d\\U0001f527\|\\U0001f469\\u200d\\U0001f527\|\\U0001f468\\u200d\\U0001f3ed\|\\U0001f469\\u200d\\U0001f3ed\|\\U0001f468\\u200d\\U0001f4bc\|\\U0001f469\\u200d\\U0001f4bc\|\\U0001f468\\u200d\\U0001f52c\|\\U0001f469\\u200d\\U0001f52c\|\\U0001f468\\u200d\\U0001f4bb\|\\U0001f469\\u200d\\U0001f4bb\|\\U0001f468\\u200d\\U0001f3a4\|\\U0001f469\\u200d\\U0001f3a4\|\\U0001f468\\u200d\\U0001f3a8\|\\U0001f469\\u200d\\U0001f3a8\|\\U0001f468\\u200d\\u2708\|\\U0001f469\\u200d\\u2708\|\\U0001f468\\u200d\\U0001f680\|\\U0001f469\\u200d\\U0001f680\|\\U0001f468\\u200d\\U0001f692\|\\U0001f469\\u200d\\U0001f692\|\\U0001f46e\\u200d\\u2642\|\\U0001f46e\\u200d\\u2640\|\\U0001f575\\u200d\\u2642\|\\U0001f575\\u200d\\u2640\|\\U0001f482\\u200d\\u2642\|\\U0001f482\\u200d\\u2640\|\\U0001f477\\u200d\\u2642\|\\U0001f477\\u200d\\u2640\|\\U0001f473\\u200d\\u2642\|\\U0001f473\\u200d\\u2640\|\\U0001f9b8\\u200d\\u2642\|\\U0001f9b8\\u200d\\u2640\|\\U0001f9b9\\u200d\\u2642\|\\U0001f9b9\\u200d\\u2640\|\\U0001f9d9\\u200d\\u2642\|\\U0001f9d9\\u200d\\u2640\|\\U0001f9da\\u200d\\u2642\|\\U0001f9da\\u200d\\u2640\|\\U0001f9db\\u200d\\u2642\|\\U0001f9db\\u200d\\u2640\|\\U0001f9dc\\u200d\\u2642\|\\U0001f9dc\\u200d\\u2640\|\\U0001f9dd\\u200d\\u2642\|\\U0001f9dd\\u200d\\u2640\|\\U0001f9de\\u200d\\u2642\|\\U0001f9de\\u200d\\u2640\|\\U0001f9df\\u200d\\u2642\|\\U0001f9df\\u200d\\u2640\|\\U0001f486\\u200d\\u2642\|\\U0001f486\\u200d\\u2640\|\\U0001f487\\u200d\\u2642\|\\U0001f487\\u200d\\u2640\|\\U0001f6b6\\u200d\\u2642\|\\U0001f6b6\\u200d\\u2640\|\\U0001f9cd\\u200d\\u2642\|\\U0001f9cd\\u200d\\u2640\|\\U0001f9ce\\u200d\\u2642\|\\U0001f9ce\\u200d\\u2640\|\\U0001f468\\u200d\\U0001f9af\|\\U0001f469\\u200d\\U0001f9af\|\\U0001f468\\u200d\\U0001f9bc\|\\U0001f469\\u200d\\U0001f9bc\|\\U0001f468\\u200d\\U0001f9bd\|\\U0001f469\\u200d\\U0001f9bd\|\\U0001f3c3\\u200d\\u2642\|\\U0001f3c3\\u200d\\u2640\|\\U0001f46f\\u200d\\u2642\|\\U0001f46f\\u200d\\u2640\|\\U0001f9d6\\u200d\\u2642\|\\U0001f9d6\\u200d\\u2640\|\\U0001f9d7\\u200d\\u2642\|\\U0001f9d7\\u200d\\u2640\|\\U0001f3cc\\u200d\\u2642\|\\U0001f3cc\\u200d\\u2640\|\\U0001f3c4\\u200d\\u2642\|\\U0001f3c4\\u200d\\u2640\|\\U0001f6a3\\u200d\\u2642\|\\U0001f6a3\\u200d\\u2640\|\\U0001f3ca\\u200d\\u2642\|\\U0001f3ca\\u200d\\u2640\|\\u26f9\\u200d\\u2642\|\\u26f9\\u200d\\u2640\|\\U0001f3cb\\u200d\\u2642\|\\U0001f3cb\\u200d\\u2640\|\\U0001f6b4\\u200d\\u2642\|\\U0001f6b4\\u200d\\u2640\|\\U0001f6b5\\u200d\\u2642\|\\U0001f6b5\\u200d\\u2640\|\\U0001f938\\u200d\\u2642\|\\U0001f938\\u200d\\u2640\|\\U0001f93c\\u200d\\u2642\|\\U0001f93c\\u200d\\u2640\|\\U0001f93d\\u200d\\u2642\|\\U0001f93d\\u200d\\u2640\|\\U0001f93e\\u200d\\u2642\|\\U0001f93e\\u200d\\u2640\|\\U0001f939\\u200d\\u2642\|\\U0001f939\\u200d\\u2640\|\\U0001f9d8\\u200d\\u2642\|\\U0001f9d8\\u200d\\u2640\|\\U0001f468\\u200d\\U0001f466\|\\U0001f468\\u200d\\U0001f467\|\\U0001f469\\u200d\\U0001f466\|\\U0001f469\\u200d\\U0001f467\|\\U0001f415\\u200d\\U0001f9ba\|\\\\#\\ufe0f\\u20e3\|\\\\\\ufe0f\\u20e3\|0\\ufe0f\\u20e3\|1\\ufe0f\\u20e3\|2\\ufe0f\\u20e3\|3\\ufe0f\\u20e3\|4\\ufe0f\\u20e3\|5\\ufe0f\\u20e3\|6\\ufe0f\\u20e3\|7\\ufe0f\\u20e3\|8\\ufe0f\\u20e3\|9\\ufe0f\\u20e3\|\\U0001f3f3\\u200d\\U0001f308\|\\U0001f3f4\\u200d\\u2620\|\\u263a\\ufe0f\|\\u2639\\ufe0f\|\\u2620\\ufe0f\|\\u2763\\ufe0f\|\\u2764\\ufe0f\|\\U0001f573\\ufe0f\|\\U0001f5e8\\ufe0f\|\\U0001f5ef\\ufe0f\|\\U0001f44b\\U0001f3fb\|\\U0001f44b\\U0001f3fc\|\\U0001f44b\\U0001f3fd\|\\U0001f44b\\U0001f3fe\|\\U0001f44b\\U0001f3ff\|\\U0001f91a\\U0001f3fb\|\\U0001f91a\\U0001f3fc\|\\U0001f91a\\U0001f3fd\|\\U0001f91a\\U0001f3fe\|\\U0001f91a\\U0001f3ff\|\\U0001f590\\ufe0f\|\\U0001f590\\U0001f3fb\|\\U0001f590\\U0001f3fc\|\\U0001f590\\U0001f3fd\|\\U0001f590\\U0001f3fe\|\\U0001f590\\U0001f3ff\|\\u270b\\U0001f3fb\|\\u270b\\U0001f3fc\|\\u270b\\U0001f3fd\|\\u270b\\U0001f3fe\|\\u270b\\U0001f3ff\|\\U0001f596\\U0001f3fb\|\\U0001f596\\U0001f3fc\|\\U0001f596\\U0001f3fd\|\\U0001f596\\U0001f3fe\|\\U0001f596\\U0001f3ff\|\\U0001f44c\\U0001f3fb\|\\U0001f44c\\U0001f3fc\|\\U0001f44c\\U0001f3fd\|\\U0001f44c\\U0001f3fe\|\\U0001f44c\\U0001f3ff\|\\U0001f90f\\U0001f3fb\|\\U0001f90f\\U0001f3fc\|\\U0001f90f\\U0001f3fd\|\\U0001f90f\\U0001f3fe\|\\U0001f90f\\U0001f3ff\|\\u270c\\ufe0f\|\\u270c\\U0001f3fb\|\\u270c\\U0001f3fc\|\\u270c\\U0001f3fd\|\\u270c\\U0001f3fe\|\\u270c\\U0001f3ff\|\\U0001f91e\\U0001f3fb\|\\U0001f91e\\U0001f3fc\|\\U0001f91e\\U0001f3fd\|\\U0001f91e\\U0001f3fe\|\\U0001f91e\\U0001f3ff\|\\U0001f91f\\U0001f3fb\|\\U0001f91f\\U0001f3fc\|\\U0001f91f\\U0001f3fd\|\\U0001f91f\\U0001f3fe\|\\U0001f91f\\U0001f3ff\|\\U0001f918\\U0001f3fb\|\\U0001f918\\U0001f3fc\|\\U0001f918\\U0001f3fd\|\\U0001f918\\U0001f3fe\|\\U0001f918\\U0001f3ff\|\\U0001f919\\U0001f3fb\|\\U0001f919\\U0001f3fc\|\\U0001f919\\U0001f3fd\|\\U0001f919\\U0001f3fe\|\\U0001f919\\U0001f3ff\|\\U0001f448\\U0001f3fb\|\\U0001f448\\U0001f3fc\|\\U0001f448\\U0001f3fd\|\\U0001f448\\U0001f3fe\|\\U0001f448\\U0001f3ff\|\\U0001f449\\U0001f3fb\|\\U0001f449\\U0001f3fc\|\\U0001f449\\U0001f3fd\|\\U0001f449\\U0001f3fe\|\\U0001f449\\U0001f3ff\|\\U0001f446\\U0001f3fb\|\\U0001f446\\U0001f3fc\|\\U0001f446\\U0001f3fd\|\\U0001f446\\U0001f3fe\|\\U0001f446\\U0001f3ff\|\\U0001f595\\U0001f3fb\|\\U0001f595\\U0001f3fc\|\\U0001f595\\U0001f3fd\|\\U0001f595\\U0001f3fe\|\\U0001f595\\U0001f3ff\|\\U0001f447\\U0001f3fb\|\\U0001f447\\U0001f3fc\|\\U0001f447\\U0001f3fd\|\\U0001f447\\U0001f3fe\|\\U0001f447\\U0001f3ff\|\\u261d\\ufe0f\|\\u261d\\U0001f3fb\|\\u261d\\U0001f3fc\|\\u261d\\U0001f3fd\|\\u261d\\U0001f3fe\|\\u261d\\U0001f3ff\|\\U0001f44d\\U0001f3fb\|\\U0001f44d\\U0001f3fc\|\\U0001f44d\\U0001f3fd\|\\U0001f44d\\U0001f3fe\|\\U0001f44d\\U0001f3ff\|\\U0001f44e\\U0001f3fb\|\\U0001f44e\\U0001f3fc\|\\U0001f44e\\U0001f3fd\|\\U0001f44e\\U0001f3fe\|\\U0001f44e\\U0001f3ff\|\\u270a\\U0001f3fb\|\\u270a\\U0001f3fc\|\\u270a\\U0001f3fd\|\\u270a\\U0001f3fe\|\\u270a\\U0001f3ff\|\\U0001f44a\\U0001f3fb\|\\U0001f44a\\U0001f3fc\|\\U0001f44a\\U0001f3fd\|\\U0001f44a\\U0001f3fe\|\\U0001f44a\\U0001f3ff\|\\U0001f91b\\U0001f3fb\|\\U0001f91b\\U0001f3fc\|\\U0001f91b\\U0001f3fd\|\\U0001f91b\\U0001f3fe\|\\U0001f91b\\U0001f3ff\|\\U0001f91c\\U0001f3fb\|\\U0001f91c\\U0001f3fc\|\\U0001f91c\\U0001f3fd\|\\U0001f91c\\U0001f3fe\|\\U0001f91c\\U0001f3ff\|\\U0001f44f\\U0001f3fb\|\\U0001f44f\\U0001f3fc\|\\U0001f44f\\U0001f3fd\|\\U0001f44f\\U0001f3fe\|\\U0001f44f\\U0001f3ff\|\\U0001f64c\\U0001f3fb\|\\U0001f64c\\U0001f3fc\|\\U0001f64c\\U0001f3fd\|\\U0001f64c\\U0001f3fe\|\\U0001f64c\\U0001f3ff\|\\U0001f450\\U0001f3fb\|\\U0001f450\\U0001f3fc\|\\U0001f450\\U0001f3fd\|\\U0001f450\\U0001f3fe\|\\U0001f450\\U0001f3ff\|\\U0001f932\\U0001f3fb\|\\U0001f932\\U0001f3fc\|\\U0001f932\\U0001f3fd\|\\U0001f932\\U0001f3fe\|\\U0001f932\\U0001f3ff\|\\U0001f64f\\U0001f3fb\|\\U0001f64f\\U0001f3fc\|\\U0001f64f\\U0001f3fd\|\\U0001f64f\\U0001f3fe\|\\U0001f64f\\U0001f3ff\|\\u270d\\ufe0f\|\\u270d\\U0001f3fb\|\\u270d\\U0001f3fc\|\\u270d\\U0001f3fd\|\\u270d\\U0001f3fe\|\\u270d\\U0001f3ff\|\\U0001f485\\U0001f3fb\|\\U0001f485\\U0001f3fc\|\\U0001f485\\U0001f3fd\|\\U0001f485\\U0001f3fe\|\\U0001f485\\U0001f3ff\|\\U0001f933\\U0001f3fb\|\\U0001f933\\U0001f3fc\|\\U0001f933\\U0001f3fd\|\\U0001f933\\U0001f3fe\|\\U0001f933\\U0001f3ff\|\\U0001f4aa\\U0001f3fb\|\\U0001f4aa\\U0001f3fc\|\\U0001f4aa\\U0001f3fd\|\\U0001f4aa\\U0001f3fe\|\\U0001f4aa\\U0001f3ff\|\\U0001f9b5\\U0001f3fb\|\\U0001f9b5\\U0001f3fc\|\\U0001f9b5\\U0001f3fd\|\\U0001f9b5\\U0001f3fe\|\\U0001f9b5\\U0001f3ff\|\\U0001f9b6\\U0001f3fb\|\\U0001f9b6\\U0001f3fc\|\\U0001f9b6\\U0001f3fd\|\\U0001f9b6\\U0001f3fe\|\\U0001f9b6\\U0001f3ff\|\\U0001f442\\U0001f3fb\|\\U0001f442\\U0001f3fc\|\\U0001f442\\U0001f3fd\|\\U0001f442\\U0001f3fe\|\\U0001f442\\U0001f3ff\|\\U0001f9bb\\U0001f3fb\|\\U0001f9bb\\U0001f3fc\|\\U0001f9bb\\U0001f3fd\|\\U0001f9bb\\U0001f3fe\|\\U0001f9bb\\U0001f3ff\|\\U0001f443\\U0001f3fb\|\\U0001f443\\U0001f3fc\|\\U0001f443\\U0001f3fd\|\\U0001f443\\U0001f3fe\|\\U0001f443\\U0001f3ff\|\\U0001f441\\ufe0f\|\\U0001f476\\U0001f3fb\|\\U0001f476\\U0001f3fc\|\\U0001f476\\U0001f3fd\|\\U0001f476\\U0001f3fe\|\\U0001f476\\U0001f3ff\|\\U0001f9d2\\U0001f3fb\|\\U0001f9d2\\U0001f3fc\|\\U0001f9d2\\U0001f3fd\|\\U0001f9d2\\U0001f3fe\|\\U0001f9d2\\U0001f3ff\|\\U0001f466\\U0001f3fb\|\\U0001f466\\U0001f3fc\|\\U0001f466\\U0001f3fd\|\\U0001f466\\U0001f3fe\|\\U0001f466\\U0001f3ff\|\\U0001f467\\U0001f3fb\|\\U0001f467\\U0001f3fc\|\\U0001f467\\U0001f3fd\|\\U0001f467\\U0001f3fe\|\\U0001f467\\U0001f3ff\|\\U0001f9d1\\U0001f3fb\|\\U0001f9d1\\U0001f3fc\|\\U0001f9d1\\U0001f3fd\|\\U0001f9d1\\U0001f3fe\|\\U0001f9d1\\U0001f3ff\|\\U0001f471\\U0001f3fb\|\\U0001f471\\U0001f3fc\|\\U0001f471\\U0001f3fd\|\\U0001f471\\U0001f3fe\|\\U0001f471\\U0001f3ff\|\\U0001f468\\U0001f3fb\|\\U0001f468\\U0001f3fc\|\\U0001f468\\U0001f3fd\|\\U0001f468\\U0001f3fe\|\\U0001f468\\U0001f3ff\|\\U0001f9d4\\U0001f3fb\|\\U0001f9d4\\U0001f3fc\|\\U0001f9d4\\U0001f3fd\|\\U0001f9d4\\U0001f3fe\|\\U0001f9d4\\U0001f3ff\|\\U0001f469\\U0001f3fb\|\\U0001f469\\U0001f3fc\|\\U0001f469\\U0001f3fd\|\\U0001f469\\U0001f3fe\|\\U0001f469\\U0001f3ff\|\\U0001f9d3\\U0001f3fb\|\\U0001f9d3\\U0001f3fc\|\\U0001f9d3\\U0001f3fd\|\\U0001f9d3\\U0001f3fe\|\\U0001f9d3\\U0001f3ff\|\\U0001f474\\U0001f3fb\|\\U0001f474\\U0001f3fc\|\\U0001f474\\U0001f3fd\|\\U0001f474\\U0001f3fe\|\\U0001f474\\U0001f3ff\|\\U0001f475\\U0001f3fb\|\\U0001f475\\U0001f3fc\|\\U0001f475\\U0001f3fd\|\\U0001f475\\U0001f3fe\|\\U0001f475\\U0001f3ff\|\\U0001f64d\\U0001f3fb\|\\U0001f64d\\U0001f3fc\|\\U0001f64d\\U0001f3fd\|\\U0001f64d\\U0001f3fe\|\\U0001f64d\\U0001f3ff\|\\U0001f64e\\U0001f3fb\|\\U0001f64e\\U0001f3fc\|\\U0001f64e\\U0001f3fd\|\\U0001f64e\\U0001f3fe\|\\U0001f64e\\U0001f3ff\|\\U0001f645\\U0001f3fb\|\\U0001f645\\U0001f3fc\|\\U0001f645\\U0001f3fd\|\\U0001f645\\U0001f3fe\|\\U0001f645\\U0001f3ff\|\\U0001f646\\U0001f3fb\|\\U0001f646\\U0001f3fc\|\\U0001f646\\U0001f3fd\|\\U0001f646\\U0001f3fe\|\\U0001f646\\U0001f3ff\|\\U0001f481\\U0001f3fb\|\\U0001f481\\U0001f3fc\|\\U0001f481\\U0001f3fd\|\\U0001f481\\U0001f3fe\|\\U0001f481\\U0001f3ff\|\\U0001f64b\\U0001f3fb\|\\U0001f64b\\U0001f3fc\|\\U0001f64b\\U0001f3fd\|\\U0001f64b\\U0001f3fe\|\\U0001f64b\\U0001f3ff\|\\U0001f9cf\\U0001f3fb\|\\U0001f9cf\\U0001f3fc\|\\U0001f9cf\\U0001f3fd\|\\U0001f9cf\\U0001f3fe\|\\U0001f9cf\\U0001f3ff\|\\U0001f647\\U0001f3fb\|\\U0001f647\\U0001f3fc\|\\U0001f647\\U0001f3fd\|\\U0001f647\\U0001f3fe\|\\U0001f647\\U0001f3ff\|\\U0001f926\\U0001f3fb\|\\U0001f926\\U0001f3fc\|\\U0001f926\\U0001f3fd\|\\U0001f926\\U0001f3fe\|\\U0001f926\\U0001f3ff\|\\U0001f937\\U0001f3fb\|\\U0001f937\\U0001f3fc\|\\U0001f937\\U0001f3fd\|\\U0001f937\\U0001f3fe\|\\U0001f937\\U0001f3ff\|\\U0001f46e\\U0001f3fb\|\\U0001f46e\\U0001f3fc\|\\U0001f46e\\U0001f3fd\|\\U0001f46e\\U0001f3fe\|\\U0001f46e\\U0001f3ff\|\\U0001f575\\ufe0f\|\\U0001f575\\U0001f3fb\|\\U0001f575\\U0001f3fc\|\\U0001f575\\U0001f3fd\|\\U0001f575\\U0001f3fe\|\\U0001f575\\U0001f3ff\|\\U0001f482\\U0001f3fb\|\\U0001f482\\U0001f3fc\|\\U0001f482\\U0001f3fd\|\\U0001f482\\U0001f3fe\|\\U0001f482\\U0001f3ff\|\\U0001f477\\U0001f3fb\|\\U0001f477\\U0001f3fc\|\\U0001f477\\U0001f3fd\|\\U0001f477\\U0001f3fe\|\\U0001f477\\U0001f3ff\|\\U0001f934\\U0001f3fb\|\\U0001f934\\U0001f3fc\|\\U0001f934\\U0001f3fd\|\\U0001f934\\U0001f3fe\|\\U0001f934\\U0001f3ff\|\\U0001f478\\U0001f3fb\|\\U0001f478\\U0001f3fc\|\\U0001f478\\U0001f3fd\|\\U0001f478\\U0001f3fe\|\\U0001f478\\U0001f3ff\|\\U0001f473\\U0001f3fb\|\\U0001f473\\U0001f3fc\|\\U0001f473\\U0001f3fd\|\\U0001f473\\U0001f3fe\|\\U0001f473\\U0001f3ff\|\\U0001f472\\U0001f3fb\|\\U0001f472\\U0001f3fc\|\\U0001f472\\U0001f3fd\|\\U0001f472\\U0001f3fe\|\\U0001f472\\U0001f3ff\|\\U0001f9d5\\U0001f3fb\|\\U0001f9d5\\U0001f3fc\|\\U0001f9d5\\U0001f3fd\|\\U0001f9d5\\U0001f3fe\|\\U0001f9d5\\U0001f3ff\|\\U0001f935\\U0001f3fb\|\\U0001f935\\U0001f3fc\|\\U0001f935\\U0001f3fd\|\\U0001f935\\U0001f3fe\|\\U0001f935\\U0001f3ff\|\\U0001f470\\U0001f3fb\|\\U0001f470\\U0001f3fc\|\\U0001f470\\U0001f3fd\|\\U0001f470\\U0001f3fe\|\\U0001f470\\U0001f3ff\|\\U0001f930\\U0001f3fb\|\\U0001f930\\U0001f3fc\|\\U0001f930\\U0001f3fd\|\\U0001f930\\U0001f3fe\|\\U0001f930\\U0001f3ff\|\\U0001f931\\U0001f3fb\|\\U0001f931\\U0001f3fc\|\\U0001f931\\U0001f3fd\|\\U0001f931\\U0001f3fe\|\\U0001f931\\U0001f3ff\|\\U0001f47c\\U0001f3fb\|\\U0001f47c\\U0001f3fc\|\\U0001f47c\\U0001f3fd\|\\U0001f47c\\U0001f3fe\|\\U0001f47c\\U0001f3ff\|\\U0001f385\\U0001f3fb\|\\U0001f385\\U0001f3fc\|\\U0001f385\\U0001f3fd\|\\U0001f385\\U0001f3fe\|\\U0001f385\\U0001f3ff\|\\U0001f936\\U0001f3fb\|\\U0001f936\\U0001f3fc\|\\U0001f936\\U0001f3fd\|\\U0001f936\\U0001f3fe\|\\U0001f936\\U0001f3ff\|\\U0001f9b8\\U0001f3fb\|\\U0001f9b8\\U0001f3fc\|\\U0001f9b8\\U0001f3fd\|\\U0001f9b8\\U0001f3fe\|\\U0001f9b8\\U0001f3ff\|\\U0001f9b9\\U0001f3fb\|\\U0001f9b9\\U0001f3fc\|\\U0001f9b9\\U0001f3fd\|\\U0001f9b9\\U0001f3fe\|\\U0001f9b9\\U0001f3ff\|\\U0001f9d9\\U0001f3fb\|\\U0001f9d9\\U0001f3fc\|\\U0001f9d9\\U0001f3fd\|\\U0001f9d9\\U0001f3fe\|\\U0001f9d9\\U0001f3ff\|\\U0001f9da\\U0001f3fb\|\\U0001f9da\\U0001f3fc\|\\U0001f9da\\U0001f3fd\|\\U0001f9da\\U0001f3fe\|\\U0001f9da\\U0001f3ff\|\\U0001f9db\\U0001f3fb\|\\U0001f9db\\U0001f3fc\|\\U0001f9db\\U0001f3fd\|\\U0001f9db\\U0001f3fe\|\\U0001f9db\\U0001f3ff\|\\U0001f9dc\\U0001f3fb\|\\U0001f9dc\\U0001f3fc\|\\U0001f9dc\\U0001f3fd\|\\U0001f9dc\\U0001f3fe\|\\U0001f9dc\\U0001f3ff\|\\U0001f9dd\\U0001f3fb\|\\U0001f9dd\\U0001f3fc\|\\U0001f9dd\\U0001f3fd\|\\U0001f9dd\\U0001f3fe\|\\U0001f9dd\\U0001f3ff\|\\U0001f486\\U0001f3fb\|\\U0001f486\\U0001f3fc\|\\U0001f486\\U0001f3fd\|\\U0001f486\\U0001f3fe\|\\U0001f486\\U0001f3ff\|\\U0001f487\\U0001f3fb\|\\U0001f487\\U0001f3fc\|\\U0001f487\\U0001f3fd\|\\U0001f487\\U0001f3fe\|\\U0001f487\\U0001f3ff\|\\U0001f6b6\\U0001f3fb\|\\U0001f6b6\\U0001f3fc\|\\U0001f6b6\\U0001f3fd\|\\U0001f6b6\\U0001f3fe\|\\U0001f6b6\\U0001f3ff\|\\U0001f9cd\\U0001f3fb\|\\U0001f9cd\\U0001f3fc\|\\U0001f9cd\\U0001f3fd\|\\U0001f9cd\\U0001f3fe\|\\U0001f9cd\\U0001f3ff\|\\U0001f9ce\\U0001f3fb\|\\U0001f9ce\\U0001f3fc\|\\U0001f9ce\\U0001f3fd\|\\U0001f9ce\\U0001f3fe\|\\U0001f9ce\\U0001f3ff\|\\U0001f3c3\\U0001f3fb\|\\U0001f3c3\\U0001f3fc\|\\U0001f3c3\\U0001f3fd\|\\U0001f3c3\\U0001f3fe\|\\U0001f3c3\\U0001f3ff\|\\U0001f483\\U0001f3fb\|\\U0001f483\\U0001f3fc\|\\U0001f483\\U0001f3fd\|\\U0001f483\\U0001f3fe\|\\U0001f483\\U0001f3ff\|\\U0001f57a\\U0001f3fb\|\\U0001f57a\\U0001f3fc\|\\U0001f57a\\U0001f3fd\|\\U0001f57a\\U0001f3fe\|\\U0001f57a\\U0001f3ff\|\\U0001f574\\ufe0f\|\\U0001f574\\U0001f3fb\|\\U0001f574\\U0001f3fc\|\\U0001f574\\U0001f3fd\|\\U0001f574\\U0001f3fe\|\\U0001f574\\U0001f3ff\|\\U0001f9d6\\U0001f3fb\|\\U0001f9d6\\U0001f3fc\|\\U0001f9d6\\U0001f3fd\|\\U0001f9d6\\U0001f3fe\|\\U0001f9d6\\U0001f3ff\|\\U0001f9d7\\U0001f3fb\|\\U0001f9d7\\U0001f3fc\|\\U0001f9d7\\U0001f3fd\|\\U0001f9d7\\U0001f3fe\|\\U0001f9d7\\U0001f3ff\|\\U0001f3c7\\U0001f3fb\|\\U0001f3c7\\U0001f3fc\|\\U0001f3c7\\U0001f3fd\|\\U0001f3c7\\U0001f3fe\|\\U0001f3c7\\U0001f3ff\|\\u26f7\\ufe0f\|\\U0001f3c2\\U0001f3fb\|\\U0001f3c2\\U0001f3fc\|\\U0001f3c2\\U0001f3fd\|\\U0001f3c2\\U0001f3fe\|\\U0001f3c2\\U0001f3ff\|\\U0001f3cc\\ufe0f\|\\U0001f3cc\\U0001f3fb\|\\U0001f3cc\\U0001f3fc\|\\U0001f3cc\\U0001f3fd\|\\U0001f3cc\\U0001f3fe\|\\U0001f3cc\\U0001f3ff\|\\U0001f3c4\\U0001f3fb\|\\U0001f3c4\\U0001f3fc\|\\U0001f3c4\\U0001f3fd\|\\U0001f3c4\\U0001f3fe\|\\U0001f3c4\\U0001f3ff\|\\U0001f6a3\\U0001f3fb\|\\U0001f6a3\\U0001f3fc\|\\U0001f6a3\\U0001f3fd\|\\U0001f6a3\\U0001f3fe\|\\U0001f6a3\\U0001f3ff\|\\U0001f3ca\\U0001f3fb\|\\U0001f3ca\\U0001f3fc\|\\U0001f3ca\\U0001f3fd\|\\U0001f3ca\\U0001f3fe\|\\U0001f3ca\\U0001f3ff\|\\u26f9\\ufe0f\|\\u26f9\\U0001f3fb\|\\u26f9\\U0001f3fc\|\\u26f9\\U0001f3fd\|\\u26f9\\U0001f3fe\|\\u26f9\\U0001f3ff\|\\U0001f3cb\\ufe0f\|\\U0001f3cb\\U0001f3fb\|\\U0001f3cb\\U0001f3fc\|\\U0001f3cb\\U0001f3fd\|\\U0001f3cb\\U0001f3fe\|\\U0001f3cb\\U0001f3ff\|\\U0001f6b4\\U0001f3fb\|\\U0001f6b4\\U0001f3fc\|\\U0001f6b4\\U0001f3fd\|\\U0001f6b4\\U0001f3fe\|\\U0001f6b4\\U0001f3ff\|\\U0001f6b5\\U0001f3fb\|\\U0001f6b5\\U0001f3fc\|\\U0001f6b5\\U0001f3fd\|\\U0001f6b5\\U0001f3fe\|\\U0001f6b5\\U0001f3ff\|\\U0001f938\\U0001f3fb\|\\U0001f938\\U0001f3fc\|\\U0001f938\\U0001f3fd\|\\U0001f938\\U0001f3fe\|\\U0001f938\\U0001f3ff\|\\U0001f93d\\U0001f3fb\|\\U0001f93d\\U0001f3fc\|\\U0001f93d\\U0001f3fd\|\\U0001f93d\\U0001f3fe\|\\U0001f93d\\U0001f3ff\|\\U0001f93e\\U0001f3fb\|\\U0001f93e\\U0001f3fc\|\\U0001f93e\\U0001f3fd\|\\U0001f93e\\U0001f3fe\|\\U0001f93e\\U0001f3ff\|\\U0001f939\\U0001f3fb\|\\U0001f939\\U0001f3fc\|\\U0001f939\\U0001f3fd\|\\U0001f939\\U0001f3fe\|\\U0001f939\\U0001f3ff\|\\U0001f9d8\\U0001f3fb\|\\U0001f9d8\\U0001f3fc\|\\U0001f9d8\\U0001f3fd\|\\U0001f9d8\\U0001f3fe\|\\U0001f9d8\\U0001f3ff\|\\U0001f6c0\\U0001f3fb\|\\U0001f6c0\\U0001f3fc\|\\U0001f6c0\\U0001f3fd\|\\U0001f6c0\\U0001f3fe\|\\U0001f6c0\\U0001f3ff\|\\U0001f6cc\\U0001f3fb\|\\U0001f6cc\\U0001f3fc\|\\U0001f6cc\\U0001f3fd\|\\U0001f6cc\\U0001f3fe\|\\U0001f6cc\\U0001f3ff\|\\U0001f46d\\U0001f3fb\|\\U0001f46d\\U0001f3fc\|\\U0001f46d\\U0001f3fd\|\\U0001f46d\\U0001f3fe\|\\U0001f46d\\U0001f3ff\|\\U0001f46b\\U0001f3fb\|\\U0001f46b\\U0001f3fc\|\\U0001f46b\\U0001f3fd\|\\U0001f46b\\U0001f3fe\|\\U0001f46b\\U0001f3ff\|\\U0001f46c\\U0001f3fb\|\\U0001f46c\\U0001f3fc\|\\U0001f46c\\U0001f3fd\|\\U0001f46c\\U0001f3fe\|\\U0001f46c\\U0001f3ff\|\\U0001f5e3\\ufe0f\|\\U0001f43f\\ufe0f\|\\U0001f54a\\ufe0f\|\\U0001f577\\ufe0f\|\\U0001f578\\ufe0f\|\\U0001f3f5\\ufe0f\|\\u2618\\ufe0f\|\\U0001f336\\ufe0f\|\\U0001f37d\\ufe0f\|\\U0001f5fa\\ufe0f\|\\U0001f3d4\\ufe0f\|\\u26f0\\ufe0f\|\\U0001f3d5\\ufe0f\|\\U0001f3d6\\ufe0f\|\\U0001f3dc\\ufe0f\|\\U0001f3dd\\ufe0f\|\\U0001f3de\\ufe0f\|\\U0001f3df\\ufe0f\|\\U0001f3db\\ufe0f\|\\U0001f3d7\\ufe0f\|\\U0001f3d8\\ufe0f\|\\U0001f3da\\ufe0f\|\\u26e9\\ufe0f\|\\U0001f3d9\\ufe0f\|\\u2668\\ufe0f\|\\U0001f3ce\\ufe0f\|\\U0001f3cd\\ufe0f\|\\U0001f6e3\\ufe0f\|\\U0001f6e4\\ufe0f\|\\U0001f6e2\\ufe0f\|\\U0001f6f3\\ufe0f\|\\u26f4\\ufe0f\|\\U0001f6e5\\ufe0f\|\\u2708\\ufe0f\|\\U0001f6e9\\ufe0f\|\\U0001f6f0\\ufe0f\|\\U0001f6ce\\ufe0f\|\\u23f1\\ufe0f\|\\u23f2\\ufe0f\|\\U0001f570\\ufe0f\|\\U0001f321\\ufe0f\|\\u2600\\ufe0f\|\\u2601\\ufe0f\|\\u26c8\\ufe0f\|\\U0001f324\\ufe0f\|\\U0001f325\\ufe0f\|\\U0001f326\\ufe0f\|\\U0001f327\\ufe0f\|\\U0001f328\\ufe0f\|\\U0001f329\\ufe0f\|\\U0001f32a\\ufe0f\|\\U0001f32b\\ufe0f\|\\U0001f32c\\ufe0f\|\\u2602\\ufe0f\|\\u26f1\\ufe0f\|\\u2744\\ufe0f\|\\u2603\\ufe0f\|\\u2604\\ufe0f\|\\U0001f397\\ufe0f\|\\U0001f39f\\ufe0f\|\\U0001f396\\ufe0f\|\\u26f8\\ufe0f\|\\U0001f579\\ufe0f\|\\u2660\\ufe0f\|\\u2665\\ufe0f\|\\u2666\\ufe0f\|\\u2663\\ufe0f\|\\u265f\\ufe0f\|\\U0001f5bc\\ufe0f\|\\U0001f576\\ufe0f\|\\U0001f6cd\\ufe0f\|\\u26d1\\ufe0f\|\\U0001f399\\ufe0f\|\\U0001f39a\\ufe0f\|\\U0001f39b\\ufe0f\|\\u260e\\ufe0f\|\\U0001f5a5\\ufe0f\|\\U0001f5a8\\ufe0f\|\\u2328\\ufe0f\|\\U0001f5b1\\ufe0f\|\\U0001f5b2\\ufe0f\|\\U0001f39e\\ufe0f\|\\U0001f4fd\\ufe0f\|\\U0001f56f\\ufe0f\|\\U0001f5de\\ufe0f\|\\U0001f3f7\\ufe0f\|\\u2709\\ufe0f\|\\U0001f5f3\\ufe0f\|\\u270f\\ufe0f\|\\u2712\\ufe0f\|\\U0001f58b\\ufe0f\|\\U0001f58a\\ufe0f\|\\U0001f58c\\ufe0f\|\\U0001f58d\\ufe0f\|\\U0001f5c2\\ufe0f\|\\U0001f5d2\\ufe0f\|\\U0001f5d3\\ufe0f\|\\U0001f587\\ufe0f\|\\u2702\\ufe0f\|\\U0001f5c3\\ufe0f\|\\U0001f5c4\\ufe0f\|\\U0001f5d1\\ufe0f\|\\U0001f5dd\\ufe0f\|\\u26cf\\ufe0f\|\\u2692\\ufe0f\|\\U0001f6e0\\ufe0f\|\\U0001f5e1\\ufe0f\|\\u2694\\ufe0f\|\\U0001f6e1\\ufe0f\|\\u2699\\ufe0f\|\\U0001f5dc\\ufe0f\|\\u2696\\ufe0f\|\\u26d3\\ufe0f\|\\u2697\\ufe0f\|\\U0001f6cf\\ufe0f\|\\U0001f6cb\\ufe0f\|\\u26b0\\ufe0f\|\\u26b1\\ufe0f\|\\u26a0\\ufe0f\|\\u2622\\ufe0f\|\\u2623\\ufe0f\|\\u2b06\\ufe0f\|\\u2197\\ufe0f\|\\u27a1\\ufe0f\|\\u2198\\ufe0f\|\\u2b07\\ufe0f\|\\u2199\\ufe0f\|\\u2b05\\ufe0f\|\\u2196\\ufe0f\|\\u2195\\ufe0f\|\\u2194\\ufe0f\|\\u21a9\\ufe0f\|\\u21aa\\ufe0f\|\\u2934\\ufe0f\|\\u2935\\ufe0f\|\\u269b\\ufe0f\|\\U0001f549\\ufe0f\|\\u2721\\ufe0f\|\\u2638\\ufe0f\|\\u262f\\ufe0f\|\\u271d\\ufe0f\|\\u2626\\ufe0f\|\\u262a\\ufe0f\|\\u262e\\ufe0f\|\\u25b6\\ufe0f\|\\u23ed\\ufe0f\|\\u23ef\\ufe0f\|\\u25c0\\ufe0f\|\\u23ee\\ufe0f\|\\u23f8\\ufe0f\|\\u23f9\\ufe0f\|\\u23fa\\ufe0f\|\\u23cf\\ufe0f\|\\u2640\\ufe0f\|\\u2642\\ufe0f\|\\u2695\\ufe0f\|\\u267e\\ufe0f\|\\u267b\\ufe0f\|\\u269c\\ufe0f\|\\u2611\\ufe0f\|\\u2714\\ufe0f\|\\u2716\\ufe0f\|\\u303d\\ufe0f\|\\u2733\\ufe0f\|\\u2734\\ufe0f\|\\u2747\\ufe0f\|\\u203c\\ufe0f\|\\u2049\\ufe0f\|\\u3030\\ufe0f\|\\xa9\\ufe0f\|\\xae\\ufe0f\|\\u2122\\ufe0f\|\\\\#\\u20e3\|\\\\\\u20e3\|0\\u20e3\|1\\u20e3\|2\\u20e3\|3\\u20e3\|4\\u20e3\|5\\u20e3\|6\\u20e3\|7\\u20e3\|8\\u20e3\|9\\u20e3\|\\U0001f170\\ufe0f\|\\U0001f171\\ufe0f\|\\u2139\\ufe0f\|\\u24c2\\ufe0f\|\\U0001f17e\\ufe0f\|\\U0001f17f\\ufe0f\|\\U0001f202\\ufe0f\|\\U0001f237\\ufe0f\|\\u3297\\ufe0f\|\\u3299\\ufe0f\|\\u25fc\\ufe0f\|\\u25fb\\ufe0f\|\\u25aa\\ufe0f\|\\u25ab\\ufe0f\|\\U0001f3f3\\ufe0f\|\\U0001f1e6\\U0001f1e8\|\\U0001f1e6\\U0001f1e9\|\\U0001f1e6\\U0001f1ea\|\\U0001f1e6\\U0001f1eb\|\\U0001f1e6\\U0001f1ec\|\\U0001f1e6\\U0001f1ee\|\\U0001f1e6\\U0001f1f1\|\\U0001f1e6\\U0001f1f2\|\\U0001f1e6\\U0001f1f4\|\\U0001f1e6\\U0001f1f6\|\\U0001f1e6\\U0001f1f7\|\\U0001f1e6\\U0001f1f8\|\\U0001f1e6\\U0001f1f9\|\\U0001f1e6\\U0001f1fa\|\\U0001f1e6\\U0001f1fc\|\\U0001f1e6\\U0001f1fd\|\\U0001f1e6\\U0001f1ff\|\\U0001f1e7\\U0001f1e6\|\\U0001f1e7\\U0001f1e7\|\\U0001f1e7\\U0001f1e9\|\\U0001f1e7\\U0001f1ea\|\\U0001f1e7\\U0001f1eb\|\\U0001f1e7\\U0001f1ec\|\\U0001f1e7\\U0001f1ed\|\\U0001f1e7\\U0001f1ee\|\\U0001f1e7\\U0001f1ef\|\\U0001f1e7\\U0001f1f1\|\\U0001f1e7\\U0001f1f2\|\\U0001f1e7\\U0001f1f3\|\\U0001f1e7\\U0001f1f4\|\\U0001f1e7\\U0001f1f6\|\\U0001f1e7\\U0001f1f7\|\\U0001f1e7\\U0001f1f8\|\\U0001f1e7\\U0001f1f9\|\\U0001f1e7\\U0001f1fb\|\\U0001f1e7\\U0001f1fc\|\\U0001f1e7\\U0001f1fe\|\\U0001f1e7\\U0001f1ff\|\\U0001f1e8\\U0001f1e6\|\\U0001f1e8\\U0001f1e8\|\\U0001f1e8\\U0001f1e9\|\\U0001f1e8\\U0001f1eb\|\\U0001f1e8\\U0001f1ec\|\\U0001f1e8\\U0001f1ed\|\\U0001f1e8\\U0001f1ee\|\\U0001f1e8\\U0001f1f0\|\\U0001f1e8\\U0001f1f1\|\\U0001f1e8\\U0001f1f2\|\\U0001f1e8\\U0001f1f3\|\\U0001f1e8\\U0001f1f4\|\\U0001f1e8\\U0001f1f5\|\\U0001f1e8\\U0001f1f7\|\\U0001f1e8\\U0001f1fa\|\\U0001f1e8\\U0001f1fb\|\\U0001f1e8\\U0001f1fc\|\\U0001f1e8\\U0001f1fd\|\\U0001f1e8\\U0001f1fe\|\\U0001f1e8\\U0001f1ff\|\\U0001f1e9\\U0001f1ea\|\\U0001f1e9\\U0001f1ec\|\\U0001f1e9\\U0001f1ef\|\\U0001f1e9\\U0001f1f0\|\\U0001f1e9\\U0001f1f2\|\\U0001f1e9\\U0001f1f4\|\\U0001f1e9\\U0001f1ff\|\\U0001f1ea\\U0001f1e6\|\\U0001f1ea\\U0001f1e8\|\\U0001f1ea\\U0001f1ea\|\\U0001f1ea\\U0001f1ec\|\\U0001f1ea\\U0001f1ed\|\\U0001f1ea\\U0001f1f7\|\\U0001f1ea\\U0001f1f8\|\\U0001f1ea\\U0001f1f9\|\\U0001f1ea\\U0001f1fa\|\\U0001f1eb\\U0001f1ee\|\\U0001f1eb\\U0001f1ef\|\\U0001f1eb\\U0001f1f0\|\\U0001f1eb\\U0001f1f2\|\\U0001f1eb\\U0001f1f4\|\\U0001f1eb\\U0001f1f7\|\\U0001f1ec\\U0001f1e6\|\\U0001f1ec\\U0001f1e7\|\\U0001f1ec\\U0001f1e9\|\\U0001f1ec\\U0001f1ea\|\\U0001f1ec\\U0001f1eb\|\\U0001f1ec\\U0001f1ec\|\\U0001f1ec\\U0001f1ed\|\\U0001f1ec\\U0001f1ee\|\\U0001f1ec\\U0001f1f1\|\\U0001f1ec\\U0001f1f2\|\\U0001f1ec\\U0001f1f3\|\\U0001f1ec\\U0001f1f5\|\\U0001f1ec\\U0001f1f6\|\\U0001f1ec\\U0001f1f7\|\\U0001f1ec\\U0001f1f8\|\\U0001f1ec\\U0001f1f9\|\\U0001f1ec\\U0001f1fa\|\\U0001f1ec\\U0001f1fc\|\\U0001f1ec\\U0001f1fe\|\\U0001f1ed\\U0001f1f0\|\\U0001f1ed\\U0001f1f2\|\\U0001f1ed\\U0001f1f3\|\\U0001f1ed\\U0001f1f7\|\\U0001f1ed\\U0001f1f9\|\\U0001f1ed\\U0001f1fa\|\\U0001f1ee\\U0001f1e8\|\\U0001f1ee\\U0001f1e9\|\\U0001f1ee\\U0001f1ea\|\\U0001f1ee\\U0001f1f1\|\\U0001f1ee\\U0001f1f2\|\\U0001f1ee\\U0001f1f3\|\\U0001f1ee\\U0001f1f4\|\\U0001f1ee\\U0001f1f6\|\\U0001f1ee\\U0001f1f7\|\\U0001f1ee\\U0001f1f8\|\\U0001f1ee\\U0001f1f9\|\\U0001f1ef\\U0001f1ea\|\\U0001f1ef\\U0001f1f2\|\\U0001f1ef\\U0001f1f4\|\\U0001f1ef\\U0001f1f5\|\\U0001f1f0\\U0001f1ea\|\\U0001f1f0\\U0001f1ec\|\\U0001f1f0\\U0001f1ed\|\\U0001f1f0\\U0001f1ee\|\\U0001f1f0\\U0001f1f2\|\\U0001f1f0\\U0001f1f3\|\\U0001f1f0\\U0001f1f5\|\\U0001f1f0\\U0001f1f7\|\\U0001f1f0\\U0001f1fc\|\\U0001f1f0\\U0001f1fe\|\\U0001f1f0\\U0001f1ff\|\\U0001f1f1\\U0001f1e6\|\\U0001f1f1\\U0001f1e7\|\\U0001f1f1\\U0001f1e8\|\\U0001f1f1\\U0001f1ee\|\\U0001f1f1\\U0001f1f0\|\\U0001f1f1\\U0001f1f7\|\\U0001f1f1\\U0001f1f8\|\\U0001f1f1\\U0001f1f9\|\\U0001f1f1\\U0001f1fa\|\\U0001f1f1\\U0001f1fb\|\\U0001f1f1\\U0001f1fe\|\\U0001f1f2\\U0001f1e6\|\\U0001f1f2\\U0001f1e8\|\\U0001f1f2\\U0001f1e9\|\\U0001f1f2\\U0001f1ea\|\\U0001f1f2\\U0001f1eb\|\\U0001f1f2\\U0001f1ec\|\\U0001f1f2\\U0001f1ed\|\\U0001f1f2\\U0001f1f0\|\\U0001f1f2\\U0001f1f1\|\\U0001f1f2\\U0001f1f2\|\\U0001f1f2\\U0001f1f3\|\\U0001f1f2\\U0001f1f4\|\\U0001f1f2\\U0001f1f5\|\\U0001f1f2\\U0001f1f6\|\\U0001f1f2\\U0001f1f7\|\\U0001f1f2\\U0001f1f8\|\\U0001f1f2\\U0001f1f9\|\\U0001f1f2\\U0001f1fa\|\\U0001f1f2\\U0001f1fb\|\\U0001f1f2\\U0001f1fc\|\\U0001f1f2\\U0001f1fd\|\\U0001f1f2\\U0001f1fe\|\\U0001f1f2\\U0001f1ff\|\\U0001f1f3\\U0001f1e6\|\\U0001f1f3\\U0001f1e8\|\\U0001f1f3\\U0001f1ea\|\\U0001f1f3\\U0001f1eb\|\\U0001f1f3\\U0001f1ec\|\\U0001f1f3\\U0001f1ee\|\\U0001f1f3\\U0001f1f1\|\\U0001f1f3\\U0001f1f4\|\\U0001f1f3\\U0001f1f5\|\\U0001f1f3\\U0001f1f7\|\\U0001f1f3\\U0001f1fa\|\\U0001f1f3\\U0001f1ff\|\\U0001f1f4\\U0001f1f2\|\\U0001f1f5\\U0001f1e6\|\\U0001f1f5\\U0001f1ea\|\\U0001f1f5\\U0001f1eb\|\\U0001f1f5\\U0001f1ec\|\\U0001f1f5\\U0001f1ed\|\\U0001f1f5\\U0001f1f0\|\\U0001f1f5\\U0001f1f1\|\\U0001f1f5\\U0001f1f2\|\\U0001f1f5\\U0001f1f3\|\\U0001f1f5\\U0001f1f7\|\\U0001f1f5\\U0001f1f8\|\\U0001f1f5\\U0001f1f9\|\\U0001f1f5\\U0001f1fc\|\\U0001f1f5\\U0001f1fe\|\\U0001f1f6\\U0001f1e6\|\\U0001f1f7\\U0001f1ea\|\\U0001f1f7\\U0001f1f4\|\\U0001f1f7\\U0001f1f8\|\\U0001f1f7\\U0001f1fa\|\\U0001f1f7\\U0001f1fc\|\\U0001f1f8\\U0001f1e6\|\\U0001f1f8\\U0001f1e7\|\\U0001f1f8\\U0001f1e8\|\\U0001f1f8\\U0001f1e9\|\\U0001f1f8\\U0001f1ea\|\\U0001f1f8\\U0001f1ec\|\\U0001f1f8\\U0001f1ed\|\\U0001f1f8\\U0001f1ee\|\\U0001f1f8\\U0001f1ef\|\\U0001f1f8\\U0001f1f0\|\\U0001f1f8\\U0001f1f1\|\\U0001f1f8\\U0001f1f2\|\\U0001f1f8\\U0001f1f3\|\\U0001f1f8\\U0001f1f4\|\\U0001f1f8\\U0001f1f7\|\\U0001f1f8\\U0001f1f8\|\\U0001f1f8\\U0001f1f9\|\\U0001f1f8\\U0001f1fb\|\\U0001f1f8\\U0001f1fd\|\\U0001f1f8\\U0001f1fe\|\\U0001f1f8\\U0001f1ff\|\\U0001f1f9\\U0001f1e6\|\\U0001f1f9\\U0001f1e8\|\\U0001f1f9\\U0001f1e9\|\\U0001f1f9\\U0001f1eb\|\\U0001f1f9\\U0001f1ec\|\\U0001f1f9\\U0001f1ed\|\\U0001f1f9\\U0001f1ef\|\\U0001f1f9\\U0001f1f0\|\\U0001f1f9\\U0001f1f1\|\\U0001f1f9\\U0001f1f2\|\\U0001f1f9\\U0001f1f3\|\\U0001f1f9\\U0001f1f4\|\\U0001f1f9\\U0001f1f7\|\\U0001f1f9\\U0001f1f9\|\\U0001f1f9\\U0001f1fb\|\\U0001f1f9\\U0001f1fc\|\\U0001f1f9\\U0001f1ff\|\\U0001f1fa\\U0001f1e6\|\\U0001f1fa\\U0001f1ec\|\\U0001f1fa\\U0001f1f2\|\\U0001f1fa\\U0001f1f3\|\\U0001f1fa\\U0001f1f8\|\\U0001f1fa\\U0001f1fe\|\\U0001f1fa\\U0001f1ff\|\\U0001f1fb\\U0001f1e6\|\\U0001f1fb\\U0001f1e8\|\\U0001f1fb\\U0001f1ea\|\\U0001f1fb\\U0001f1ec\|\\U0001f1fb\\U0001f1ee\|\\U0001f1fb\\U0001f1f3\|\\U0001f1fb\\U0001f1fa\|\\U0001f1fc\\U0001f1eb\|\\U0001f1fc\\U0001f1f8\|\\U0001f1fd\\U0001f1f0\|\\U0001f1fe\\U0001f1ea\|\\U0001f1fe\\U0001f1f9\|\\U0001f1ff\\U0001f1e6\|\\U0001f1ff\\U0001f1f2\|\\U0001f1ff\\U0001f1fc\|\\U0001f600\|\\U0001f603\|\\U0001f604\|\\U0001f601\|\\U0001f606\|\\U0001f605\|\\U0001f923\|\\U0001f602\|\\U0001f642\|\\U0001f643\|\\U0001f609\|\\U0001f60a\|\\U0001f607\|\\U0001f970\|\\U0001f60d\|\\U0001f929\|\\U0001f618\|\\U0001f617\|\\u263a\|\\U0001f61a\|\\U0001f619\|\\U0001f60b\|\\U0001f61b\|\\U0001f61c\|\\U0001f92a\|\\U0001f61d\|\\U0001f911\|\\U0001f917\|\\U0001f92d\|\\U0001f92b\|\\U0001f914\|\\U0001f910\|\\U0001f928\|\\U0001f610\|\\U0001f611\|\\U0001f636\|\\U0001f60f\|\\U0001f612\|\\U0001f644\|\\U0001f62c\|\\U0001f925\|\\U0001f60c\|\\U0001f614\|\\U0001f62a\|\\U0001f924\|\\U0001f634\|\\U0001f637\|\\U0001f912\|\\U0001f915\|\\U0001f922\|\\U0001f92e\|\\U0001f927\|\\U0001f975\|\\U0001f976\|\\U0001f974\|\\U0001f635\|\\U0001f92f\|\\U0001f920\|\\U0001f973\|\\U0001f60e\|\\U0001f913\|\\U0001f9d0\|\\U0001f615\|\\U0001f61f\|\\U0001f641\|\\u2639\|\\U0001f62e\|\\U0001f62f\|\\U0001f632\|\\U0001f633\|\\U0001f97a\|\\U0001f626\|\\U0001f627\|\\U0001f628\|\\U0001f630\|\\U0001f625\|\\U0001f622\|\\U0001f62d\|\\U0001f631\|\\U0001f616\|\\U0001f623\|\\U0001f61e\|\\U0001f613\|\\U0001f629\|\\U0001f62b\|\\U0001f971\|\\U0001f624\|\\U0001f621\|\\U0001f620\|\\U0001f92c\|\\U0001f608\|\\U0001f47f\|\\U0001f480\|\\u2620\|\\U0001f4a9\|\\U0001f921\|\\U0001f479\|\\U0001f47a\|\\U0001f47b\|\\U0001f47d\|\\U0001f47e\|\\U0001f916\|\\U0001f63a\|\\U0001f638\|\\U0001f639\|\\U0001f63b\|\\U0001f63c\|\\U0001f63d\|\\U0001f640\|\\U0001f63f\|\\U0001f63e\|\\U0001f648\|\\U0001f649\|\\U0001f64a\|\\U0001f48b\|\\U0001f48c\|\\U0001f498\|\\U0001f49d\|\\U0001f496\|\\U0001f497\|\\U0001f493\|\\U0001f49e\|\\U0001f495\|\\U0001f49f\|\\u2763\|\\U0001f494\|\\u2764\|\\U0001f9e1\|\\U0001f49b\|\\U0001f49a\|\\U0001f499\|\\U0001f49c\|\\U0001f90e\|\\U0001f5a4\|\\U0001f90d\|\\U0001f4af\|\\U0001f4a2\|\\U0001f4a5\|\\U0001f4ab\|\\U0001f4a6\|\\U0001f4a8\|\\U0001f573\|\\U0001f4a3\|\\U0001f4ac\|\\U0001f5e8\|\\U0001f5ef\|\\U0001f4ad\|\\U0001f4a4\|\\U0001f44b\|\\U0001f91a\|\\U0001f590\|\\u270b\|\\U0001f596\|\\U0001f44c\|\\U0001f90f\|\\u270c\|\\U0001f91e\|\\U0001f91f\|\\U0001f918\|\\U0001f919\|\\U0001f448\|\\U0001f449\|\\U0001f446\|\\U0001f595\|\\U0001f447\|\\u261d\|\\U0001f44d\|\\U0001f44e\|\\u270a\|\\U0001f44a\|\\U0001f91b\|\\U0001f91c\|\\U0001f44f\|\\U0001f64c\|\\U0001f450\|\\U0001f932\|\\U0001f91d\|\\U0001f64f\|\\u270d\|\\U0001f485\|\\U0001f933\|\\U0001f4aa\|\\U0001f9be\|\\U0001f9bf\|\\U0001f9b5\|\\U0001f9b6\|\\U0001f442\|\\U0001f9bb\|\\U0001f443\|\\U0001f9e0\|\\U0001f9b7\|\\U0001f9b4\|\\U0001f440\|\\U0001f441\|\\U0001f445\|\\U0001f444\|\\U0001f476\|\\U0001f9d2\|\\U0001f466\|\\U0001f467\|\\U0001f9d1\|\\U0001f471\|\\U0001f468\|\\U0001f9d4\|\\U0001f469\|\\U0001f9d3\|\\U0001f474\|\\U0001f475\|\\U0001f64d\|\\U0001f64e\|\\U0001f645\|\\U0001f646\|\\U0001f481\|\\U0001f64b\|\\U0001f9cf\|\\U0001f647\|\\U0001f926\|\\U0001f937\|\\U0001f46e\|\\U0001f575\|\\U0001f482\|\\U0001f477\|\\U0001f934\|\\U0001f478\|\\U0001f473\|\\U0001f472\|\\U0001f9d5\|\\U0001f935\|\\U0001f470\|\\U0001f930\|\\U0001f931\|\\U0001f47c\|\\U0001f385\|\\U0001f936\|\\U0001f9b8\|\\U0001f9b9\|\\U0001f9d9\|\\U0001f9da\|\\U0001f9db\|\\U0001f9dc\|\\U0001f9dd\|\\U0001f9de\|\\U0001f9df\|\\U0001f486\|\\U0001f487\|\\U0001f6b6\|\\U0001f9cd\|\\U0001f9ce\|\\U0001f3c3\|\\U0001f483\|\\U0001f57a\|\\U0001f574\|\\U0001f46f\|\\U0001f9d6\|\\U0001f9d7\|\\U0001f93a\|\\U0001f3c7\|\\u26f7\|\\U0001f3c2\|\\U0001f3cc\|\\U0001f3c4\|\\U0001f6a3\|\\U0001f3ca\|\\u26f9\|\\U0001f3cb\|\\U0001f6b4\|\\U0001f6b5\|\\U0001f938\|\\U0001f93c\|\\U0001f93d\|\\U0001f93e\|\\U0001f939\|\\U0001f9d8\|\\U0001f6c0\|\\U0001f6cc\|\\U0001f46d\|\\U0001f46b\|\\U0001f46c\|\\U0001f48f\|\\U0001f491\|\\U0001f46a\|\\U0001f5e3\|\\U0001f464\|\\U0001f465\|\\U0001f463\|\\U0001f3fb\|\\U0001f3fc\|\\U0001f3fd\|\\U0001f3fe\|\\U0001f3ff\|\\U0001f9b0\|\\U0001f9b1\|\\U0001f9b3\|\\U0001f9b2\|\\U0001f435\|\\U0001f412\|\\U0001f98d\|\\U0001f9a7\|\\U0001f436\|\\U0001f415\|\\U0001f9ae\|\\U0001f429\|\\U0001f43a\|\\U0001f98a\|\\U0001f99d\|\\U0001f431\|\\U0001f408\|\\U0001f981\|\\U0001f42f\|\\U0001f405\|\\U0001f406\|\\U0001f434\|\\U0001f40e\|\\U0001f984\|\\U0001f993\|\\U0001f98c\|\\U0001f42e\|\\U0001f402\|\\U0001f403\|\\U0001f404\|\\U0001f437\|\\U0001f416\|\\U0001f417\|\\U0001f43d\|\\U0001f40f\|\\U0001f411\|\\U0001f410\|\\U0001f42a\|\\U0001f42b\|\\U0001f999\|\\U0001f992\|\\U0001f418\|\\U0001f98f\|\\U0001f99b\|\\U0001f42d\|\\U0001f401\|\\U0001f400\|\\U0001f439\|\\U0001f430\|\\U0001f407\|\\U0001f43f\|\\U0001f994\|\\U0001f987\|\\U0001f43b\|\\U0001f428\|\\U0001f43c\|\\U0001f9a5\|\\U0001f9a6\|\\U0001f9a8\|\\U0001f998\|\\U0001f9a1\|\\U0001f43e\|\\U0001f983\|\\U0001f414\|\\U0001f413\|\\U0001f423\|\\U0001f424\|\\U0001f425\|\\U0001f426\|\\U0001f427\|\\U0001f54a\|\\U0001f985\|\\U0001f986\|\\U0001f9a2\|\\U0001f989\|\\U0001f9a9\|\\U0001f99a\|\\U0001f99c\|\\U0001f438\|\\U0001f40a\|\\U0001f422\|\\U0001f98e\|\\U0001f40d\|\\U0001f432\|\\U0001f409\|\\U0001f995\|\\U0001f996\|\\U0001f433\|\\U0001f40b\|\\U0001f42c\|\\U0001f41f\|\\U0001f420\|\\U0001f421\|\\U0001f988\|\\U0001f419\|\\U0001f41a\|\\U0001f40c\|\\U0001f98b\|\\U0001f41b\|\\U0001f41c\|\\U0001f41d\|\\U0001f41e\|\\U0001f997\|\\U0001f577\|\\U0001f578\|\\U0001f982\|\\U0001f99f\|\\U0001f9a0\|\\U0001f490\|\\U0001f338\|\\U0001f4ae\|\\U0001f3f5\|\\U0001f339\|\\U0001f940\|\\U0001f33a\|\\U0001f33b\|\\U0001f33c\|\\U0001f337\|\\U0001f331\|\\U0001f332\|\\U0001f333\|\\U0001f334\|\\U0001f335\|\\U0001f33e\|\\U0001f33f\|\\u2618\|\\U0001f340\|\\U0001f341\|\\U0001f342\|\\U0001f343\|\\U0001f347\|\\U0001f348\|\\U0001f349\|\\U0001f34a\|\\U0001f34b\|\\U0001f34c\|\\U0001f34d\|\\U0001f96d\|\\U0001f34e\|\\U0001f34f\|\\U0001f350\|\\U0001f351\|\\U0001f352\|\\U0001f353\|\\U0001f95d\|\\U0001f345\|\\U0001f965\|\\U0001f951\|\\U0001f346\|\\U0001f954\|\\U0001f955\|\\U0001f33d\|\\U0001f336\|\\U0001f952\|\\U0001f96c\|\\U0001f966\|\\U0001f9c4\|\\U0001f9c5\|\\U0001f344\|\\U0001f95c\|\\U0001f330\|\\U0001f35e\|\\U0001f950\|\\U0001f956\|\\U0001f968\|\\U0001f96f\|\\U0001f95e\|\\U0001f9c7\|\\U0001f9c0\|\\U0001f356\|\\U0001f357\|\\U0001f969\|\\U0001f953\|\\U0001f354\|\\U0001f35f\|\\U0001f355\|\\U0001f32d\|\\U0001f96a\|\\U0001f32e\|\\U0001f32f\|\\U0001f959\|\\U0001f9c6\|\\U0001f95a\|\\U0001f373\|\\U0001f958\|\\U0001f372\|\\U0001f963\|\\U0001f957\|\\U0001f37f\|\\U0001f9c8\|\\U0001f9c2\|\\U0001f96b\|\\U0001f371\|\\U0001f358\|\\U0001f359\|\\U0001f35a\|\\U0001f35b\|\\U0001f35c\|\\U0001f35d\|\\U0001f360\|\\U0001f362\|\\U0001f363\|\\U0001f364\|\\U0001f365\|\\U0001f96e\|\\U0001f361\|\\U0001f95f\|\\U0001f960\|\\U0001f961\|\\U0001f980\|\\U0001f99e\|\\U0001f990\|\\U0001f991\|\\U0001f9aa\|\\U0001f366\|\\U0001f367\|\\U0001f368\|\\U0001f369\|\\U0001f36a\|\\U0001f382\|\\U0001f370\|\\U0001f9c1\|\\U0001f967\|\\U0001f36b\|\\U0001f36c\|\\U0001f36d\|\\U0001f36e\|\\U0001f36f\|\\U0001f37c\|\\U0001f95b\|\\u2615\|\\U0001f375\|\\U0001f376\|\\U0001f37e\|\\U0001f377\|\\U0001f378\|\\U0001f379\|\\U0001f37a\|\\U0001f37b\|\\U0001f942\|\\U0001f943\|\\U0001f964\|\\U0001f9c3\|\\U0001f9c9\|\\U0001f9ca\|\\U0001f962\|\\U0001f37d\|\\U0001f374\|\\U0001f944\|\\U0001f52a\|\\U0001f3fa\|\\U0001f30d\|\\U0001f30e\|\\U0001f30f\|\\U0001f310\|\\U0001f5fa\|\\U0001f5fe\|\\U0001f9ed\|\\U0001f3d4\|\\u26f0\|\\U0001f30b\|\\U0001f5fb\|\\U0001f3d5\|\\U0001f3d6\|\\U0001f3dc\|\\U0001f3dd\|\\U0001f3de\|\\U0001f3df\|\\U0001f3db\|\\U0001f3d7\|\\U0001f9f1\|\\U0001f3d8\|\\U0001f3da\|\\U0001f3e0\|\\U0001f3e1\|\\U0001f3e2\|\\U0001f3e3\|\\U0001f3e4\|\\U0001f3e5\|\\U0001f3e6\|\\U0001f3e8\|\\U0001f3e9\|\\U0001f3ea\|\\U0001f3eb\|\\U0001f3ec\|\\U0001f3ed\|\\U0001f3ef\|\\U0001f3f0\|\\U0001f492\|\\U0001f5fc\|\\U0001f5fd\|\\u26ea\|\\U0001f54c\|\\U0001f6d5\|\\U0001f54d\|\\u26e9\|\\U0001f54b\|\\u26f2\|\\u26fa\|\\U0001f301\|\\U0001f303\|\\U0001f3d9\|\\U0001f304\|\\U0001f305\|\\U0001f306\|\\U0001f307\|\\U0001f309\|\\u2668\|\\U0001f3a0\|\\U0001f3a1\|\\U0001f3a2\|\\U0001f488\|\\U0001f3aa\|\\U0001f682\|\\U0001f683\|\\U0001f684\|\\U0001f685\|\\U0001f686\|\\U0001f687\|\\U0001f688\|\\U0001f689\|\\U0001f68a\|\\U0001f69d\|\\U0001f69e\|\\U0001f68b\|\\U0001f68c\|\\U0001f68d\|\\U0001f68e\|\\U0001f690\|\\U0001f691\|\\U0001f692\|\\U0001f693\|\\U0001f694\|\\U0001f695\|\\U0001f696\|\\U0001f697\|\\U0001f698\|\\U0001f699\|\\U0001f69a\|\\U0001f69b\|\\U0001f69c\|\\U0001f3ce\|\\U0001f3cd\|\\U0001f6f5\|\\U0001f9bd\|\\U0001f9bc\|\\U0001f6fa\|\\U0001f6b2\|\\U0001f6f4\|\\U0001f6f9\|\\U0001f68f\|\\U0001f6e3\|\\U0001f6e4\|\\U0001f6e2\|\\u26fd\|\\U0001f6a8\|\\U0001f6a5\|\\U0001f6a6\|\\U0001f6d1\|\\U0001f6a7\|\\u2693\|\\u26f5\|\\U0001f6f6\|\\U0001f6a4\|\\U0001f6f3\|\\u26f4\|\\U0001f6e5\|\\U0001f6a2\|\\u2708\|\\U0001f6e9\|\\U0001f6eb\|\\U0001f6ec\|\\U0001fa82\|\\U0001f4ba\|\\U0001f681\|\\U0001f69f\|\\U0001f6a0\|\\U0001f6a1\|\\U0001f6f0\|\\U0001f680\|\\U0001f6f8\|\\U0001f6ce\|\\U0001f9f3\|\\u231b\|\\u23f3\|\\u231a\|\\u23f0\|\\u23f1\|\\u23f2\|\\U0001f570\|\\U0001f55b\|\\U0001f567\|\\U0001f550\|\\U0001f55c\|\\U0001f551\|\\U0001f55d\|\\U0001f552\|\\U0001f55e\|\\U0001f553\|\\U0001f55f\|\\U0001f554\|\\U0001f560\|\\U0001f555\|\\U0001f561\|\\U0001f556\|\\U0001f562\|\\U0001f557\|\\U0001f563\|\\U0001f558\|\\U0001f564\|\\U0001f559\|\\U0001f565\|\\U0001f55a\|\\U0001f566\|\\U0001f311\|\\U0001f312\|\\U0001f313\|\\U0001f314\|\\U0001f315\|\\U0001f316\|\\U0001f317\|\\U0001f318\|\\U0001f319\|\\U0001f31a\|\\U0001f31b\|\\U0001f31c\|\\U0001f321\|\\u2600\|\\U0001f31d\|\\U0001f31e\|\\U0001fa90\|\\u2b50\|\\U0001f31f\|\\U0001f320\|\\U0001f30c\|\\u2601\|\\u26c5\|\\u26c8\|\\U0001f324\|\\U0001f325\|\\U0001f326\|\\U0001f327\|\\U0001f328\|\\U0001f329\|\\U0001f32a\|\\U0001f32b\|\\U0001f32c\|\\U0001f300\|\\U0001f308\|\\U0001f302\|\\u2602\|\\u2614\|\\u26f1\|\\u26a1\|\\u2744\|\\u2603\|\\u26c4\|\\u2604\|\\U0001f525\|\\U0001f4a7\|\\U0001f30a\|\\U0001f383\|\\U0001f384\|\\U0001f386\|\\U0001f387\|\\U0001f9e8\|\\u2728\|\\U0001f388\|\\U0001f389\|\\U0001f38a\|\\U0001f38b\|\\U0001f38d\|\\U0001f38e\|\\U0001f38f\|\\U0001f390\|\\U0001f391\|\\U0001f9e7\|\\U0001f380\|\\U0001f381\|\\U0001f397\|\\U0001f39f\|\\U0001f3ab\|\\U0001f396\|\\U0001f3c6\|\\U0001f3c5\|\\U0001f947\|\\U0001f948\|\\U0001f949\|\\u26bd\|\\u26be\|\\U0001f94e\|\\U0001f3c0\|\\U0001f3d0\|\\U0001f3c8\|\\U0001f3c9\|\\U0001f3be\|\\U0001f94f\|\\U0001f3b3\|\\U0001f3cf\|\\U0001f3d1\|\\U0001f3d2\|\\U0001f94d\|\\U0001f3d3\|\\U0001f3f8\|\\U0001f94a\|\\U0001f94b\|\\U0001f945\|\\u26f3\|\\u26f8\|\\U0001f3a3\|\\U0001f93f\|\\U0001f3bd\|\\U0001f3bf\|\\U0001f6f7\|\\U0001f94c\|\\U0001f3af\|\\U0001fa80\|\\U0001fa81\|\\U0001f3b1\|\\U0001f52e\|\\U0001f9ff\|\\U0001f3ae\|\\U0001f579\|\\U0001f3b0\|\\U0001f3b2\|\\U0001f9e9\|\\U0001f9f8\|\\u2660\|\\u2665\|\\u2666\|\\u2663\|\\u265f\|\\U0001f0cf\|\\U0001f004\|\\U0001f3b4\|\\U0001f3ad\|\\U0001f5bc\|\\U0001f3a8\|\\U0001f9f5\|\\U0001f9f6\|\\U0001f453\|\\U0001f576\|\\U0001f97d\|\\U0001f97c\|\\U0001f9ba\|\\U0001f454\|\\U0001f455\|\\U0001f456\|\\U0001f9e3\|\\U0001f9e4\|\\U0001f9e5\|\\U0001f9e6\|\\U0001f457\|\\U0001f458\|\\U0001f97b\|\\U0001fa71\|\\U0001fa72\|\\U0001fa73\|\\U0001f459\|\\U0001f45a\|\\U0001f45b\|\\U0001f45c\|\\U0001f45d\|\\U0001f6cd\|\\U0001f392\|\\U0001f45e\|\\U0001f45f\|\\U0001f97e\|\\U0001f97f\|\\U0001f460\|\\U0001f461\|\\U0001fa70\|\\U0001f462\|\\U0001f451\|\\U0001f452\|\\U0001f3a9\|\\U0001f393\|\\U0001f9e2\|\\u26d1\|\\U0001f4ff\|\\U0001f484\|\\U0001f48d\|\\U0001f48e\|\\U0001f507\|\\U0001f508\|\\U0001f509\|\\U0001f50a\|\\U0001f4e2\|\\U0001f4e3\|\\U0001f4ef\|\\U0001f514\|\\U0001f515\|\\U0001f3bc\|\\U0001f3b5\|\\U0001f3b6\|\\U0001f399\|\\U0001f39a\|\\U0001f39b\|\\U0001f3a4\|\\U0001f3a7\|\\U0001f4fb\|\\U0001f3b7\|\\U0001f3b8\|\\U0001f3b9\|\\U0001f3ba\|\\U0001f3bb\|\\U0001fa95\|\\U0001f941\|\\U0001f4f1\|\\U0001f4f2\|\\u260e\|\\U0001f4de\|\\U0001f4df\|\\U0001f4e0\|\\U0001f50b\|\\U0001f50c\|\\U0001f4bb\|\\U0001f5a5\|\\U0001f5a8\|\\u2328\|\\U0001f5b1\|\\U0001f5b2\|\\U0001f4bd\|\\U0001f4be\|\\U0001f4bf\|\\U0001f4c0\|\\U0001f9ee\|\\U0001f3a5\|\\U0001f39e\|\\U0001f4fd\|\\U0001f3ac\|\\U0001f4fa\|\\U0001f4f7\|\\U0001f4f8\|\\U0001f4f9\|\\U0001f4fc\|\\U0001f50d\|\\U0001f50e\|\\U0001f56f\|\\U0001f4a1\|\\U0001f526\|\\U0001f3ee\|\\U0001fa94\|\\U0001f4d4\|\\U0001f4d5\|\\U0001f4d6\|\\U0001f4d7\|\\U0001f4d8\|\\U0001f4d9\|\\U0001f4da\|\\U0001f4d3\|\\U0001f4d2\|\\U0001f4c3\|\\U0001f4dc\|\\U0001f4c4\|\\U0001f4f0\|\\U0001f5de\|\\U0001f4d1\|\\U0001f516\|\\U0001f3f7\|\\U0001f4b0\|\\U0001f4b4\|\\U0001f4b5\|\\U0001f4b6\|\\U0001f4b7\|\\U0001f4b8\|\\U0001f4b3\|\\U0001f9fe\|\\U0001f4b9\|\\U0001f4b1\|\\U0001f4b2\|\\u2709\|\\U0001f4e7\|\\U0001f4e8\|\\U0001f4e9\|\\U0001f4e4\|\\U0001f4e5\|\\U0001f4e6\|\\U0001f4eb\|\\U0001f4ea\|\\U0001f4ec\|\\U0001f4ed\|\\U0001f4ee\|\\U0001f5f3\|\\u270f\|\\u2712\|\\U0001f58b\|\\U0001f58a\|\\U0001f58c\|\\U0001f58d\|\\U0001f4dd\|\\U0001f4bc\|\\U0001f4c1\|\\U0001f4c2\|\\U0001f5c2\|\\U0001f4c5\|\\U0001f4c6\|\\U0001f5d2\|\\U0001f5d3\|\\U0001f4c7\|\\U0001f4c8\|\\U0001f4c9\|\\U0001f4ca\|\\U0001f4cb\|\\U0001f4cc\|\\U0001f4cd\|\\U0001f4ce\|\\U0001f587\|\\U0001f4cf\|\\U0001f4d0\|\\u2702\|\\U0001f5c3\|\\U0001f5c4\|\\U0001f5d1\|\\U0001f512\|\\U0001f513\|\\U0001f50f\|\\U0001f510\|\\U0001f511\|\\U0001f5dd\|\\U0001f528\|\\U0001fa93\|\\u26cf\|\\u2692\|\\U0001f6e0\|\\U0001f5e1\|\\u2694\|\\U0001f52b\|\\U0001f3f9\|\\U0001f6e1\|\\U0001f527\|\\U0001f529\|\\u2699\|\\U0001f5dc\|\\u2696\|\\U0001f9af\|\\U0001f517\|\\u26d3\|\\U0001f9f0\|\\U0001f9f2\|\\u2697\|\\U0001f9ea\|\\U0001f9eb\|\\U0001f9ec\|\\U0001f52c\|\\U0001f52d\|\\U0001f4e1\|\\U0001f489\|\\U0001fa78\|\\U0001f48a\|\\U0001fa79\|\\U0001fa7a\|\\U0001f6aa\|\\U0001f6cf\|\\U0001f6cb\|\\U0001fa91\|\\U0001f6bd\|\\U0001f6bf\|\\U0001f6c1\|\\U0001fa92\|\\U0001f9f4\|\\U0001f9f7\|\\U0001f9f9\|\\U0001f9fa\|\\U0001f9fb\|\\U0001f9fc\|\\U0001f9fd\|\\U0001f9ef\|\\U0001f6d2\|\\U0001f6ac\|\\u26b0\|\\u26b1\|\\U0001f5ff\|\\U0001f3e7\|\\U0001f6ae\|\\U0001f6b0\|\\u267f\|\\U0001f6b9\|\\U0001f6ba\|\\U0001f6bb\|\\U0001f6bc\|\\U0001f6be\|\\U0001f6c2\|\\U0001f6c3\|\\U0001f6c4\|\\U0001f6c5\|\\u26a0\|\\U0001f6b8\|\\u26d4\|\\U0001f6ab\|\\U0001f6b3\|\\U0001f6ad\|\\U0001f6af\|\\U0001f6b1\|\\U0001f6b7\|\\U0001f4f5\|\\U0001f51e\|\\u2622\|\\u2623\|\\u2b06\|\\u2197\|\\u27a1\|\\u2198\|\\u2b07\|\\u2199\|\\u2b05\|\\u2196\|\\u2195\|\\u2194\|\\u21a9\|\\u21aa\|\\u2934\|\\u2935\|\\U0001f503\|\\U0001f504\|\\U0001f519\|\\U0001f51a\|\\U0001f51b\|\\U0001f51c\|\\U0001f51d\|\\U0001f6d0\|\\u269b\|\\U0001f549\|\\u2721\|\\u2638\|\\u262f\|\\u271d\|\\u2626\|\\u262a\|\\u262e\|\\U0001f54e\|\\U0001f52f\|\\u2648\|\\u2649\|\\u264a\|\\u264b\|\\u264c\|\\u264d\|\\u264e\|\\u264f\|\\u2650\|\\u2651\|\\u2652\|\\u2653\|\\u26ce\|\\U0001f500\|\\U0001f501\|\\U0001f502\|\\u25b6\|\\u23e9\|\\u23ed\|\\u23ef\|\\u25c0\|\\u23ea\|\\u23ee\|\\U0001f53c\|\\u23eb\|\\U0001f53d\|\\u23ec\|\\u23f8\|\\u23f9\|\\u23fa\|\\u23cf\|\\U0001f3a6\|\\U0001f505\|\\U0001f506\|\\U0001f4f6\|\\U0001f4f3\|\\U0001f4f4\|\\u2640\|\\u2642\|\\u2695\|\\u267e\|\\u267b\|\\u269c\|\\U0001f531\|\\U0001f4db\|\\U0001f530\|\\u2b55\|\\u2705\|\\u2611\|\\u2714\|\\u2716\|\\u274c\|\\u274e\|\\u2795\|\\u2796\|\\u2797\|\\u27b0\|\\u27bf\|\\u303d\|\\u2733\|\\u2734\|\\u2747\|\\u203c\|\\u2049\|\\u2753\|\\u2754\|\\u2755\|\\u2757\|\\u3030\|\\xa9\|\\xae\|\\u2122\|\\U0001f51f\|\\U0001f520\|\\U0001f521\|\\U0001f522\|\\U0001f523\|\\U0001f524\|\\U0001f170\|\\U0001f18e\|\\U0001f171\|\\U0001f191\|\\U0001f192\|\\U0001f193\|\\u2139\|\\U0001f194\|\\u24c2\|\\U0001f195\|\\U0001f196\|\\U0001f17e\|\\U0001f197\|\\U0001f17f\|\\U0001f198\|\\U0001f199\|\\U0001f19a\|\\U0001f201\|\\U0001f202\|\\U0001f237\|\\U0001f236\|\\U0001f22f\|\\U0001f250\|\\U0001f239\|\\U0001f21a\|\\U0001f232\|\\U0001f251\|\\U0001f238\|\\U0001f234\|\\U0001f233\|\\u3297\|\\u3299\|\\U0001f23a\|\\U0001f235\|\\U0001f534\|\\U0001f7e0\|\\U0001f7e1\|\\U0001f7e2\|\\U0001f535\|\\U0001f7e3\|\\U0001f7e4\|\\u26ab\|\\u26aa\|\\U0001f7e5\|\\U0001f7e7\|\\U0001f7e8\|\\U0001f7e9\|\\U0001f7e6\|\\U0001f7ea\|\\U0001f7eb\|\\u2b1b\|\\u2b1c\|\\u25fc\|\\u25fb\|\\u25fe\|\\u25fd\|\\u25aa\|\\u25ab\|\\U0001f536\|\\U0001f537\|\\U0001f538\|\\U0001f539\|\\U0001f53a\|\\U0001f53b\|\\U0001f4a0\|\\U0001f518\|\\U0001f533\|\\U0001f532\|\\U0001f3c1\|\\U0001f6a9\|\\U0001f38c\|\\U0001f3f4\|\\U0001f3f3')) -> str: "Return the string obtained by replacing all emojis in 'text' by the replacement 'repl'.\n Args:\n text (str): text to be replaced\n repl (str): replace all emojis in text with 'repl'\n Reference:\n akkez/emoji.py: Python emoji regexp / python emoji detection\n https://gist.github.com/akkez/99ceeae2f13c9d8d9be7df0279e2c438\n " text = regex.sub(repl, text) return text	399,084,624,044,253,250	Return the string obtained by replacing all emojis in 'text' by the replacement 'repl'. Args: text (str): text to be replaced repl (str): replace all emojis in text with 'repl' Reference: akkez/emoji.py: Python emoji regexp / python emoji detection https://gist.github.com/akkez/99ceeae2f13c9d8d9be7df0279e2c438	prenlp/data/normalizer.py	_emoji_normalize	awesome-archive/prenlp	python	def _emoji_normalize(self, text: str, repl: str, regex=re.compile('\\U0001f469\\u200d\\u2764\\ufe0f\\u200d\\U0001f48b\\u200d\\U0001f468\|\\U0001f468\\u200d\\u2764\\ufe0f\\u200d\\U0001f48b\\u200d\\U0001f468\|\\U0001f469\\u200d\\u2764\\ufe0f\\u200d\\U0001f48b\\u200d\\U0001f469\|\\U0001f9d1\\U0001f3fb\\u200d\\U0001f91d\\u200d\\U0001f9d1\\U0001f3fb\|\\U0001f9d1\\U0001f3fc\\u200d\\U0001f91d\\u200d\\U0001f9d1\\U0001f3fb\|\\U0001f9d1\\U0001f3fc\\u200d\\U0001f91d\\u200d\\U0001f9d1\\U0001f3fc\|\\U0001f9d1\\U0001f3fd\\u200d\\U0001f91d\\u200d\\U0001f9d1\\U0001f3fb\|\\U0001f9d1\\U0001f3fd\\u200d\\U0001f91d\\u200d\\U0001f9d1\\U0001f3fc\|\\U0001f9d1\\U0001f3fd\\u200d\\U0001f91d\\u200d\\U0001f9d1\\U0001f3fd\|\\U0001f9d1\\U0001f3fe\\u200d\\U0001f91d\\u200d\\U0001f9d1\\U0001f3fb\|\\U0001f9d1\\U0001f3fe\\u200d\\U0001f91d\\u200d\\U0001f9d1\\U0001f3fc\|\\U0001f9d1\\U0001f3fe\\u200d\\U0001f91d\\u200d\\U0001f9d1\\U0001f3fd\|\\U0001f9d1\\U0001f3fe\\u200d\\U0001f91d\\u200d\\U0001f9d1\\U0001f3fe\|\\U0001f9d1\\U0001f3ff\\u200d\\U0001f91d\\u200d\\U0001f9d1\\U0001f3fb\|\\U0001f9d1\\U0001f3ff\\u200d\\U0001f91d\\u200d\\U0001f9d1\\U0001f3fc\|\\U0001f9d1\\U0001f3ff\\u200d\\U0001f91d\\u200d\\U0001f9d1\\U0001f3fd\|\\U0001f9d1\\U0001f3ff\\u200d\\U0001f91d\\u200d\\U0001f9d1\\U0001f3fe\|\\U0001f9d1\\U0001f3ff\\u200d\\U0001f91d\\u200d\\U0001f9d1\\U0001f3ff\|\\U0001f469\\U0001f3fc\\u200d\\U0001f91d\\u200d\\U0001f469\\U0001f3fb\|\\U0001f469\\U0001f3fd\\u200d\\U0001f91d\\u200d\\U0001f469\\U0001f3fb\|\\U0001f469\\U0001f3fd\\u200d\\U0001f91d\\u200d\\U0001f469\\U0001f3fc\|\\U0001f469\\U0001f3fe\\u200d\\U0001f91d\\u200d\\U0001f469\\U0001f3fb\|\\U0001f469\\U0001f3fe\\u200d\\U0001f91d\\u200d\\U0001f469\\U0001f3fc\|\\U0001f469\\U0001f3fe\\u200d\\U0001f91d\\u200d\\U0001f469\\U0001f3fd\|\\U0001f469\\U0001f3ff\\u200d\\U0001f91d\\u200d\\U0001f469\\U0001f3fb\|\\U0001f469\\U0001f3ff\\u200d\\U0001f91d\\u200d\\U0001f469\\U0001f3fc\|\\U0001f469\\U0001f3ff\\u200d\\U0001f91d\\u200d\\U0001f469\\U0001f3fd\|\\U0001f469\\U0001f3ff\\u200d\\U0001f91d\\u200d\\U0001f469\\U0001f3fe\|\\U0001f469\\U0001f3fb\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fc\|\\U0001f469\\U0001f3fb\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fd\|\\U0001f469\\U0001f3fb\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fe\|\\U0001f469\\U0001f3fb\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3ff\|\\U0001f469\\U0001f3fc\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fb\|\\U0001f469\\U0001f3fc\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fd\|\\U0001f469\\U0001f3fc\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fe\|\\U0001f469\\U0001f3fc\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3ff\|\\U0001f469\\U0001f3fd\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fb\|\\U0001f469\\U0001f3fd\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fc\|\\U0001f469\\U0001f3fd\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fe\|\\U0001f469\\U0001f3fd\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3ff\|\\U0001f469\\U0001f3fe\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fb\|\\U0001f469\\U0001f3fe\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fc\|\\U0001f469\\U0001f3fe\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fd\|\\U0001f469\\U0001f3fe\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3ff\|\\U0001f469\\U0001f3ff\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fb\|\\U0001f469\\U0001f3ff\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fc\|\\U0001f469\\U0001f3ff\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fd\|\\U0001f469\\U0001f3ff\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fe\|\\U0001f468\\U0001f3fc\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fb\|\\U0001f468\\U0001f3fd\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fb\|\\U0001f468\\U0001f3fd\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fc\|\\U0001f468\\U0001f3fe\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fb\|\\U0001f468\\U0001f3fe\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fc\|\\U0001f468\\U0001f3fe\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fd\|\\U0001f468\\U0001f3ff\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fb\|\\U0001f468\\U0001f3ff\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fc\|\\U0001f468\\U0001f3ff\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fd\|\\U0001f468\\U0001f3ff\\u200d\\U0001f91d\\u200d\\U0001f468\\U0001f3fe\|\\U0001f469\\u200d\\u2764\\u200d\\U0001f48b\\u200d\\U0001f468\|\\U0001f468\\u200d\\u2764\\u200d\\U0001f48b\\u200d\\U0001f468\|\\U0001f469\\u200d\\u2764\\u200d\\U0001f48b\\u200d\\U0001f469\|\\U0001f468\\u200d\\U0001f469\\u200d\\U0001f467\\u200d\\U0001f466\|\\U0001f468\\u200d\\U0001f469\\u200d\\U0001f466\\u200d\\U0001f466\|\\U0001f468\\u200d\\U0001f469\\u200d\\U0001f467\\u200d\\U0001f467\|\\U0001f468\\u200d\\U0001f468\\u200d\\U0001f467\\u200d\\U0001f466\|\\U0001f468\\u200d\\U0001f468\\u200d\\U0001f466\\u200d\\U0001f466\|\\U0001f468\\u200d\\U0001f468\\u200d\\U0001f467\\u200d\\U0001f467\|\\U0001f469\\u200d\\U0001f469\\u200d\\U0001f467\\u200d\\U0001f466\|\\U0001f469\\u200d\\U0001f469\\u200d\\U0001f466\\u200d\\U0001f466\|\\U0001f469\\u200d\\U0001f469\\u200d\\U0001f467\\u200d\\U0001f467\|\\U0001f3f4\\U000e0067\\U000e0062\\U000e0065\\U000e006e\\U000e0067\\U000e007f\|\\U0001f3f4\\U000e0067\\U000e0062\\U000e0073\\U000e0063\\U000e0074\\U000e007f\|\\U0001f3f4\\U000e0067\\U000e0062\\U000e0077\\U000e006c\\U000e0073\\U000e007f\|\\U0001f469\\u200d\\u2764\\ufe0f\\u200d\\U0001f468\|\\U0001f468\\u200d\\u2764\\ufe0f\\u200d\\U0001f468\|\\U0001f469\\u200d\\u2764\\ufe0f\\u200d\\U0001f469\|\\U0001f441\\ufe0f\\u200d\\U0001f5e8\\ufe0f\|\\U0001f471\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f471\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f471\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f471\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f471\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f471\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f471\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f471\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f471\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f471\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f64d\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f64d\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f64d\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f64d\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f64d\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f64d\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f64d\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f64d\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f64d\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f64d\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f64e\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f64e\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f64e\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f64e\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f64e\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f64e\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f64e\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f64e\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f64e\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f64e\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f645\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f645\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f645\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f645\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f645\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f645\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f645\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f645\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f645\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f645\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f646\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f646\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f646\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f646\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f646\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f646\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f646\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f646\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f646\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f646\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f481\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f481\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f481\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f481\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f481\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f481\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f481\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f481\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f481\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f481\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f64b\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f64b\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f64b\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f64b\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f64b\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f64b\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f64b\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f64b\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f64b\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f64b\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f9cf\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f9cf\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f9cf\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f9cf\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f9cf\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f9cf\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f9cf\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f9cf\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f9cf\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f9cf\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f647\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f647\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f647\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f647\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f647\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f647\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f647\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f647\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f647\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f647\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f926\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f926\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f926\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f926\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f926\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f926\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f926\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f926\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f926\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f937\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f937\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f937\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f937\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f937\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f937\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f937\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f937\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f937\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f937\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f468\\U0001f3fb\\u200d\\u2695\\ufe0f\|\\U0001f468\\U0001f3fc\\u200d\\u2695\\ufe0f\|\\U0001f468\\U0001f3fd\\u200d\\u2695\\ufe0f\|\\U0001f468\\U0001f3fe\\u200d\\u2695\\ufe0f\|\\U0001f468\\U0001f3ff\\u200d\\u2695\\ufe0f\|\\U0001f469\\U0001f3fb\\u200d\\u2695\\ufe0f\|\\U0001f469\\U0001f3fc\\u200d\\u2695\\ufe0f\|\\U0001f469\\U0001f3fd\\u200d\\u2695\\ufe0f\|\\U0001f469\\U0001f3fe\\u200d\\u2695\\ufe0f\|\\U0001f469\\U0001f3ff\\u200d\\u2695\\ufe0f\|\\U0001f468\\U0001f3fb\\u200d\\u2696\\ufe0f\|\\U0001f468\\U0001f3fc\\u200d\\u2696\\ufe0f\|\\U0001f468\\U0001f3fd\\u200d\\u2696\\ufe0f\|\\U0001f468\\U0001f3fe\\u200d\\u2696\\ufe0f\|\\U0001f468\\U0001f3ff\\u200d\\u2696\\ufe0f\|\\U0001f469\\U0001f3fb\\u200d\\u2696\\ufe0f\|\\U0001f469\\U0001f3fc\\u200d\\u2696\\ufe0f\|\\U0001f469\\U0001f3fd\\u200d\\u2696\\ufe0f\|\\U0001f469\\U0001f3fe\\u200d\\u2696\\ufe0f\|\\U0001f469\\U0001f3ff\\u200d\\u2696\\ufe0f\|\\U0001f468\\U0001f3fb\\u200d\\u2708\\ufe0f\|\\U0001f468\\U0001f3fc\\u200d\\u2708\\ufe0f\|\\U0001f468\\U0001f3fd\\u200d\\u2708\\ufe0f\|\\U0001f468\\U0001f3fe\\u200d\\u2708\\ufe0f\|\\U0001f468\\U0001f3ff\\u200d\\u2708\\ufe0f\|\\U0001f469\\U0001f3fb\\u200d\\u2708\\ufe0f\|\\U0001f469\\U0001f3fc\\u200d\\u2708\\ufe0f\|\\U0001f469\\U0001f3fd\\u200d\\u2708\\ufe0f\|\\U0001f469\\U0001f3fe\\u200d\\u2708\\ufe0f\|\\U0001f469\\U0001f3ff\\u200d\\u2708\\ufe0f\|\\U0001f46e\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f46e\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f46e\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f46e\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f46e\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f46e\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f46e\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f46e\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f46e\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f46e\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f575\\ufe0f\\u200d\\u2642\\ufe0f\|\\U0001f575\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f575\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f575\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f575\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f575\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f575\\ufe0f\\u200d\\u2640\\ufe0f\|\\U0001f575\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f575\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f575\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f575\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f575\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f482\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f482\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f482\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f482\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f482\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f482\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f482\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f482\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f482\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f482\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f477\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f477\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f477\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f477\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f477\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f477\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f477\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f477\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f477\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f477\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f473\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f473\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f473\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f473\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f473\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f473\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f473\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f473\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f473\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f473\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f9b8\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f9b8\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f9b8\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f9b8\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f9b8\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f9b8\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f9b8\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f9b8\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f9b8\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f9b8\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f9b9\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f9b9\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f9b9\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f9b9\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f9b9\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f9b9\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f9b9\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f9b9\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f9b9\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f9b9\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f9d9\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f9d9\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f9d9\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f9d9\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f9d9\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f9d9\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f9d9\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f9d9\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f9d9\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f9d9\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f9da\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f9da\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f9da\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f9da\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f9da\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f9da\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f9da\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f9da\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f9da\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f9da\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f9db\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f9db\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f9db\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f9db\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f9db\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f9db\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f9db\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f9db\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f9db\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f9db\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f9dc\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f9dc\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f9dc\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f9dc\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f9dc\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f9dc\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f9dc\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f9dc\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f9dc\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f9dc\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f9dd\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f9dd\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f9dd\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f9dd\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f9dd\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f9dd\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f9dd\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f9dd\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f9dd\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f9dd\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f486\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f486\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f486\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f486\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f486\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f486\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f486\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f486\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f486\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f486\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f487\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f487\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f487\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f487\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f487\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f487\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f487\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f487\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f487\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f487\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f6b6\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f6b6\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f6b6\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f6b6\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f6b6\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f6b6\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f6b6\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f6b6\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f6b6\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f6b6\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f9cd\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f9cd\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f9cd\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f9cd\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f9cd\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f9cd\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f9cd\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f9cd\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f9cd\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f9cd\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f9ce\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f9ce\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f9ce\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f9ce\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f9ce\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f9ce\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f9ce\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f9ce\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f9ce\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f9ce\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f3c3\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f3c3\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f3c3\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f3c3\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f3c3\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f3c3\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f3c3\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f3c3\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f3c3\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f3c3\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f9d6\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f9d6\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f9d6\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f9d6\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f9d6\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f9d6\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f9d6\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f9d6\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f9d6\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f9d6\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f9d7\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f9d7\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f9d7\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f9d7\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f9d7\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f9d7\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f9d7\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f9d7\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f9d7\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f9d7\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f3cc\\ufe0f\\u200d\\u2642\\ufe0f\|\\U0001f3cc\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f3cc\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f3cc\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f3cc\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f3cc\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f3cc\\ufe0f\\u200d\\u2640\\ufe0f\|\\U0001f3cc\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f3cc\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f3cc\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f3cc\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f3cc\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f3c4\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f3c4\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f3c4\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f3c4\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f3c4\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f3c4\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f3c4\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f3c4\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f3c4\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f3c4\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f6a3\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f6a3\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f6a3\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f6a3\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f6a3\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f6a3\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f6a3\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f6a3\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f6a3\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f6a3\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f3ca\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f3ca\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f3ca\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f3ca\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f3ca\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f3ca\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f3ca\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f3ca\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f3ca\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f3ca\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\u26f9\\ufe0f\\u200d\\u2642\\ufe0f\|\\u26f9\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\u26f9\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\u26f9\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\u26f9\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\u26f9\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\u26f9\\ufe0f\\u200d\\u2640\\ufe0f\|\\u26f9\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\u26f9\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\u26f9\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\u26f9\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\u26f9\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f3cb\\ufe0f\\u200d\\u2642\\ufe0f\|\\U0001f3cb\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f3cb\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f3cb\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f3cb\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f3cb\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f3cb\\ufe0f\\u200d\\u2640\\ufe0f\|\\U0001f3cb\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f3cb\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f3cb\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f3cb\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f3cb\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f6b4\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f6b4\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f6b4\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f6b4\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f6b4\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f6b4\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f6b4\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f6b4\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f6b4\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f6b4\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f6b5\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f6b5\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f6b5\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f6b5\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f6b5\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f6b5\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f6b5\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f6b5\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f6b5\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f6b5\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f938\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f938\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f938\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f938\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f938\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f938\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f938\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f938\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f938\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f938\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f93d\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f93d\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f93d\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f93d\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f93d\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f93d\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f93d\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f93d\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f93d\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f93d\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f93e\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f93e\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f93e\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f93e\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f93e\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f93e\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f93e\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f93e\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f93e\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f93e\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f939\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f939\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f939\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f939\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f939\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f939\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f939\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f939\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f939\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f939\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f9d8\\U0001f3fb\\u200d\\u2642\\ufe0f\|\\U0001f9d8\\U0001f3fc\\u200d\\u2642\\ufe0f\|\\U0001f9d8\\U0001f3fd\\u200d\\u2642\\ufe0f\|\\U0001f9d8\\U0001f3fe\\u200d\\u2642\\ufe0f\|\\U0001f9d8\\U0001f3ff\\u200d\\u2642\\ufe0f\|\\U0001f9d8\\U0001f3fb\\u200d\\u2640\\ufe0f\|\\U0001f9d8\\U0001f3fc\\u200d\\u2640\\ufe0f\|\\U0001f9d8\\U0001f3fd\\u200d\\u2640\\ufe0f\|\\U0001f9d8\\U0001f3fe\\u200d\\u2640\\ufe0f\|\\U0001f9d8\\U0001f3ff\\u200d\\u2640\\ufe0f\|\\U0001f9d1\\u200d\\U0001f91d\\u200d\\U0001f9d1\|\\U0001f469\\u200d\\u2764\\u200d\\U0001f468\|\\U0001f468\\u200d\\u2764\\u200d\\U0001f468\|\\U0001f469\\u200d\\u2764\\u200d\\U0001f469\|\\U0001f468\\u200d\\U0001f469\\u200d\\U0001f466\|\\U0001f468\\u200d\\U0001f469\\u200d\\U0001f467\|\\U0001f468\\u200d\\U0001f468\\u200d\\U0001f466\|\\U0001f468\\u200d\\U0001f468\\u200d\\U0001f467\|\\U0001f469\\u200d\\U0001f469\\u200d\\U0001f466\|\\U0001f469\\u200d\\U0001f469\\u200d\\U0001f467\|\\U0001f468\\u200d\\U0001f466\\u200d\\U0001f466\|\\U0001f468\\u200d\\U0001f467\\u200d\\U0001f466\|\\U0001f468\\u200d\\U0001f467\\u200d\\U0001f467\|\\U0001f469\\u200d\\U0001f466\\u200d\\U0001f466\|\\U0001f469\\u200d\\U0001f467\\u200d\\U0001f466\|\\U0001f469\\u200d\\U0001f467\\u200d\\U0001f467\|\\U0001f441\\u200d\\U0001f5e8\\ufe0f\|\\U0001f441\\ufe0f\\u200d\\U0001f5e8\|\\U0001f471\\u200d\\u2642\\ufe0f\|\\U0001f471\\U0001f3fb\\u200d\\u2642\|\\U0001f471\\U0001f3fc\\u200d\\u2642\|\\U0001f471\\U0001f3fd\\u200d\\u2642\|\\U0001f471\\U0001f3fe\\u200d\\u2642\|\\U0001f471\\U0001f3ff\\u200d\\u2642\|\\U0001f468\\U0001f3fb\\u200d\\U0001f9b0\|\\U0001f468\\U0001f3fc\\u200d\\U0001f9b0\|\\U0001f468\\U0001f3fd\\u200d\\U0001f9b0\|\\U0001f468\\U0001f3fe\\u200d\\U0001f9b0\|\\U0001f468\\U0001f3ff\\u200d\\U0001f9b0\|\\U0001f468\\U0001f3fb\\u200d\\U0001f9b1\|\\U0001f468\\U0001f3fc\\u200d\\U0001f9b1\|\\U0001f468\\U0001f3fd\\u200d\\U0001f9b1\|\\U0001f468\\U0001f3fe\\u200d\\U0001f9b1\|\\U0001f468\\U0001f3ff\\u200d\\U0001f9b1\|\\U0001f468\\U0001f3fb\\u200d\\U0001f9b3\|\\U0001f468\\U0001f3fc\\u200d\\U0001f9b3\|\\U0001f468\\U0001f3fd\\u200d\\U0001f9b3\|\\U0001f468\\U0001f3fe\\u200d\\U0001f9b3\|\\U0001f468\\U0001f3ff\\u200d\\U0001f9b3\|\\U0001f468\\U0001f3fb\\u200d\\U0001f9b2\|\\U0001f468\\U0001f3fc\\u200d\\U0001f9b2\|\\U0001f468\\U0001f3fd\\u200d\\U0001f9b2\|\\U0001f468\\U0001f3fe\\u200d\\U0001f9b2\|\\U0001f468\\U0001f3ff\\u200d\\U0001f9b2\|\\U0001f471\\u200d\\u2640\\ufe0f\|\\U0001f471\\U0001f3fb\\u200d\\u2640\|\\U0001f471\\U0001f3fc\\u200d\\u2640\|\\U0001f471\\U0001f3fd\\u200d\\u2640\|\\U0001f471\\U0001f3fe\\u200d\\u2640\|\\U0001f471\\U0001f3ff\\u200d\\u2640\|\\U0001f469\\U0001f3fb\\u200d\\U0001f9b0\|\\U0001f469\\U0001f3fc\\u200d\\U0001f9b0\|\\U0001f469\\U0001f3fd\\u200d\\U0001f9b0\|\\U0001f469\\U0001f3fe\\u200d\\U0001f9b0\|\\U0001f469\\U0001f3ff\\u200d\\U0001f9b0\|\\U0001f469\\U0001f3fb\\u200d\\U0001f9b1\|\\U0001f469\\U0001f3fc\\u200d\\U0001f9b1\|\\U0001f469\\U0001f3fd\\u200d\\U0001f9b1\|\\U0001f469\\U0001f3fe\\u200d\\U0001f9b1\|\\U0001f469\\U0001f3ff\\u200d\\U0001f9b1\|\\U0001f469\\U0001f3fb\\u200d\\U0001f9b3\|\\U0001f469\\U0001f3fc\\u200d\\U0001f9b3\|\\U0001f469\\U0001f3fd\\u200d\\U0001f9b3\|\\U0001f469\\U0001f3fe\\u200d\\U0001f9b3\|\\U0001f469\\U0001f3ff\\u200d\\U0001f9b3\|\\U0001f469\\U0001f3fb\\u200d\\U0001f9b2\|\\U0001f469\\U0001f3fc\\u200d\\U0001f9b2\|\\U0001f469\\U0001f3fd\\u200d\\U0001f9b2\|\\U0001f469\\U0001f3fe\\u200d\\U0001f9b2\|\\U0001f469\\U0001f3ff\\u200d\\U0001f9b2\|\\U0001f64d\\u200d\\u2642\\ufe0f\|\\U0001f64d\\U0001f3fb\\u200d\\u2642\|\\U0001f64d\\U0001f3fc\\u200d\\u2642\|\\U0001f64d\\U0001f3fd\\u200d\\u2642\|\\U0001f64d\\U0001f3fe\\u200d\\u2642\|\\U0001f64d\\U0001f3ff\\u200d\\u2642\|\\U0001f64d\\u200d\\u2640\\ufe0f\|\\U0001f64d\\U0001f3fb\\u200d\\u2640\|\\U0001f64d\\U0001f3fc\\u200d\\u2640\|\\U0001f64d\\U0001f3fd\\u200d\\u2640\|\\U0001f64d\\U0001f3fe\\u200d\\u2640\|\\U0001f64d\\U0001f3ff\\u200d\\u2640\|\\U0001f64e\\u200d\\u2642\\ufe0f\|\\U0001f64e\\U0001f3fb\\u200d\\u2642\|\\U0001f64e\\U0001f3fc\\u200d\\u2642\|\\U0001f64e\\U0001f3fd\\u200d\\u2642\|\\U0001f64e\\U0001f3fe\\u200d\\u2642\|\\U0001f64e\\U0001f3ff\\u200d\\u2642\|\\U0001f64e\\u200d\\u2640\\ufe0f\|\\U0001f64e\\U0001f3fb\\u200d\\u2640\|\\U0001f64e\\U0001f3fc\\u200d\\u2640\|\\U0001f64e\\U0001f3fd\\u200d\\u2640\|\\U0001f64e\\U0001f3fe\\u200d\\u2640\|\\U0001f64e\\U0001f3ff\\u200d\\u2640\|\\U0001f645\\u200d\\u2642\\ufe0f\|\\U0001f645\\U0001f3fb\\u200d\\u2642\|\\U0001f645\\U0001f3fc\\u200d\\u2642\|\\U0001f645\\U0001f3fd\\u200d\\u2642\|\\U0001f645\\U0001f3fe\\u200d\\u2642\|\\U0001f645\\U0001f3ff\\u200d\\u2642\|\\U0001f645\\u200d\\u2640\\ufe0f\|\\U0001f645\\U0001f3fb\\u200d\\u2640\|\\U0001f645\\U0001f3fc\\u200d\\u2640\|\\U0001f645\\U0001f3fd\\u200d\\u2640\|\\U0001f645\\U0001f3fe\\u200d\\u2640\|\\U0001f645\\U0001f3ff\\u200d\\u2640\|\\U0001f646\\u200d\\u2642\\ufe0f\|\\U0001f646\\U0001f3fb\\u200d\\u2642\|\\U0001f646\\U0001f3fc\\u200d\\u2642\|\\U0001f646\\U0001f3fd\\u200d\\u2642\|\\U0001f646\\U0001f3fe\\u200d\\u2642\|\\U0001f646\\U0001f3ff\\u200d\\u2642\|\\U0001f646\\u200d\\u2640\\ufe0f\|\\U0001f646\\U0001f3fb\\u200d\\u2640\|\\U0001f646\\U0001f3fc\\u200d\\u2640\|\\U0001f646\\U0001f3fd\\u200d\\u2640\|\\U0001f646\\U0001f3fe\\u200d\\u2640\|\\U0001f646\\U0001f3ff\\u200d\\u2640\|\\U0001f481\\u200d\\u2642\\ufe0f\|\\U0001f481\\U0001f3fb\\u200d\\u2642\|\\U0001f481\\U0001f3fc\\u200d\\u2642\|\\U0001f481\\U0001f3fd\\u200d\\u2642\|\\U0001f481\\U0001f3fe\\u200d\\u2642\|\\U0001f481\\U0001f3ff\\u200d\\u2642\|\\U0001f481\\u200d\\u2640\\ufe0f\|\\U0001f481\\U0001f3fb\\u200d\\u2640\|\\U0001f481\\U0001f3fc\\u200d\\u2640\|\\U0001f481\\U0001f3fd\\u200d\\u2640\|\\U0001f481\\U0001f3fe\\u200d\\u2640\|\\U0001f481\\U0001f3ff\\u200d\\u2640\|\\U0001f64b\\u200d\\u2642\\ufe0f\|\\U0001f64b\\U0001f3fb\\u200d\\u2642\|\\U0001f64b\\U0001f3fc\\u200d\\u2642\|\\U0001f64b\\U0001f3fd\\u200d\\u2642\|\\U0001f64b\\U0001f3fe\\u200d\\u2642\|\\U0001f64b\\U0001f3ff\\u200d\\u2642\|\\U0001f64b\\u200d\\u2640\\ufe0f\|\\U0001f64b\\U0001f3fb\\u200d\\u2640\|\\U0001f64b\\U0001f3fc\\u200d\\u2640\|\\U0001f64b\\U0001f3fd\\u200d\\u2640\|\\U0001f64b\\U0001f3fe\\u200d\\u2640\|\\U0001f64b\\U0001f3ff\\u200d\\u2640\|\\U0001f9cf\\u200d\\u2642\\ufe0f\|\\U0001f9cf\\U0001f3fb\\u200d\\u2642\|\\U0001f9cf\\U0001f3fc\\u200d\\u2642\|\\U0001f9cf\\U0001f3fd\\u200d\\u2642\|\\U0001f9cf\\U0001f3fe\\u200d\\u2642\|\\U0001f9cf\\U0001f3ff\\u200d\\u2642\|\\U0001f9cf\\u200d\\u2640\\ufe0f\|\\U0001f9cf\\U0001f3fb\\u200d\\u2640\|\\U0001f9cf\\U0001f3fc\\u200d\\u2640\|\\U0001f9cf\\U0001f3fd\\u200d\\u2640\|\\U0001f9cf\\U0001f3fe\\u200d\\u2640\|\\U0001f9cf\\U0001f3ff\\u200d\\u2640\|\\U0001f647\\u200d\\u2642\\ufe0f\|\\U0001f647\\U0001f3fb\\u200d\\u2642\|\\U0001f647\\U0001f3fc\\u200d\\u2642\|\\U0001f647\\U0001f3fd\\u200d\\u2642\|\\U0001f647\\U0001f3fe\\u200d\\u2642\|\\U0001f647\\U0001f3ff\\u200d\\u2642\|\\U0001f647\\u200d\\u2640\\ufe0f\|\\U0001f647\\U0001f3fb\\u200d\\u2640\|\\U0001f647\\U0001f3fc\\u200d\\u2640\|\\U0001f647\\U0001f3fd\\u200d\\u2640\|\\U0001f647\\U0001f3fe\\u200d\\u2640\|\\U0001f647\\U0001f3ff\\u200d\\u2640\|\\U0001f926\\u200d\\u2642\\ufe0f\|\\U0001f926\\U0001f3fb\\u200d\\u2642\|\\U0001f926\\U0001f3fc\\u200d\\u2642\|\\U0001f926\\U0001f3fd\\u200d\\u2642\|\\U0001f926\\U0001f3fe\\u200d\\u2642\|\\U0001f926\\U0001f3ff\\u200d\\u2642\|\\U0001f926\\u200d\\u2640\\ufe0f\|\\U0001f926\\U0001f3fb\\u200d\\u2640\|\\U0001f926\\U0001f3fc\\u200d\\u2640\|\\U0001f926\\U0001f3fd\\u200d\\u2640\|\\U0001f926\\U0001f3fe\\u200d\\u2640\|\\U0001f926\\U0001f3ff\\u200d\\u2640\|\\U0001f937\\u200d\\u2642\\ufe0f\|\\U0001f937\\U0001f3fb\\u200d\\u2642\|\\U0001f937\\U0001f3fc\\u200d\\u2642\|\\U0001f937\\U0001f3fd\\u200d\\u2642\|\\U0001f937\\U0001f3fe\\u200d\\u2642\|\\U0001f937\\U0001f3ff\\u200d\\u2642\|\\U0001f937\\u200d\\u2640\\ufe0f\|\\U0001f937\\U0001f3fb\\u200d\\u2640\|\\U0001f937\\U0001f3fc\\u200d\\u2640\|\\U0001f937\\U0001f3fd\\u200d\\u2640\|\\U0001f937\\U0001f3fe\\u200d\\u2640\|\\U0001f937\\U0001f3ff\\u200d\\u2640\|\\U0001f468\\u200d\\u2695\\ufe0f\|\\U0001f468\\U0001f3fb\\u200d\\u2695\|\\U0001f468\\U0001f3fc\\u200d\\u2695\|\\U0001f468\\U0001f3fd\\u200d\\u2695\|\\U0001f468\\U0001f3fe\\u200d\\u2695\|\\U0001f468\\U0001f3ff\\u200d\\u2695\|\\U0001f469\\u200d\\u2695\\ufe0f\|\\U0001f469\\U0001f3fb\\u200d\\u2695\|\\U0001f469\\U0001f3fc\\u200d\\u2695\|\\U0001f469\\U0001f3fd\\u200d\\u2695\|\\U0001f469\\U0001f3fe\\u200d\\u2695\|\\U0001f469\\U0001f3ff\\u200d\\u2695\|\\U0001f468\\U0001f3fb\\u200d\\U0001f393\|\\U0001f468\\U0001f3fc\\u200d\\U0001f393\|\\U0001f468\\U0001f3fd\\u200d\\U0001f393\|\\U0001f468\\U0001f3fe\\u200d\\U0001f393\|\\U0001f468\\U0001f3ff\\u200d\\U0001f393\|\\U0001f469\\U0001f3fb\\u200d\\U0001f393\|\\U0001f469\\U0001f3fc\\u200d\\U0001f393\|\\U0001f469\\U0001f3fd\\u200d\\U0001f393\|\\U0001f469\\U0001f3fe\\u200d\\U0001f393\|\\U0001f469\\U0001f3ff\\u200d\\U0001f393\|\\U0001f468\\U0001f3fb\\u200d\\U0001f3eb\|\\U0001f468\\U0001f3fc\\u200d\\U0001f3eb\|\\U0001f468\\U0001f3fd\\u200d\\U0001f3eb\|\\U0001f468\\U0001f3fe\\u200d\\U0001f3eb\|\\U0001f468\\U0001f3ff\\u200d\\U0001f3eb\|\\U0001f469\\U0001f3fb\\u200d\\U0001f3eb\|\\U0001f469\\U0001f3fc\\u200d\\U0001f3eb\|\\U0001f469\\U0001f3fd\\u200d\\U0001f3eb\|\\U0001f469\\U0001f3fe\\u200d\\U0001f3eb\|\\U0001f469\\U0001f3ff\\u200d\\U0001f3eb\|\\U0001f468\\u200d\\u2696\\ufe0f\|\\U0001f468\\U0001f3fb\\u200d\\u2696\|\\U0001f468\\U0001f3fc\\u200d\\u2696\|\\U0001f468\\U0001f3fd\\u200d\\u2696\|\\U0001f468\\U0001f3fe\\u200d\\u2696\|\\U0001f468\\U0001f3ff\\u200d\\u2696\|\\U0001f469\\u200d\\u2696\\ufe0f\|\\U0001f469\\U0001f3fb\\u200d\\u2696\|\\U0001f469\\U0001f3fc\\u200d\\u2696\|\\U0001f469\\U0001f3fd\\u200d\\u2696\|\\U0001f469\\U0001f3fe\\u200d\\u2696\|\\U0001f469\\U0001f3ff\\u200d\\u2696\|\\U0001f468\\U0001f3fb\\u200d\\U0001f33e\|\\U0001f468\\U0001f3fc\\u200d\\U0001f33e\|\\U0001f468\\U0001f3fd\\u200d\\U0001f33e\|\\U0001f468\\U0001f3fe\\u200d\\U0001f33e\|\\U0001f468\\U0001f3ff\\u200d\\U0001f33e\|\\U0001f469\\U0001f3fb\\u200d\\U0001f33e\|\\U0001f469\\U0001f3fc\\u200d\\U0001f33e\|\\U0001f469\\U0001f3fd\\u200d\\U0001f33e\|\\U0001f469\\U0001f3fe\\u200d\\U0001f33e\|\\U0001f469\\U0001f3ff\\u200d\\U0001f33e\|\\U0001f468\\U0001f3fb\\u200d\\U0001f373\|\\U0001f468\\U0001f3fc\\u200d\\U0001f373\|\\U0001f468\\U0001f3fd\\u200d\\U0001f373\|\\U0001f468\\U0001f3fe\\u200d\\U0001f373\|\\U0001f468\\U0001f3ff\\u200d\\U0001f373\|\\U0001f469\\U0001f3fb\\u200d\\U0001f373\|\\U0001f469\\U0001f3fc\\u200d\\U0001f373\|\\U0001f469\\U0001f3fd\\u200d\\U0001f373\|\\U0001f469\\U0001f3fe\\u200d\\U0001f373\|\\U0001f469\\U0001f3ff\\u200d\\U0001f373\|\\U0001f468\\U0001f3fb\\u200d\\U0001f527\|\\U0001f468\\U0001f3fc\\u200d\\U0001f527\|\\U0001f468\\U0001f3fd\\u200d\\U0001f527\|\\U0001f468\\U0001f3fe\\u200d\\U0001f527\|\\U0001f468\\U0001f3ff\\u200d\\U0001f527\|\\U0001f469\\U0001f3fb\\u200d\\U0001f527\|\\U0001f469\\U0001f3fc\\u200d\\U0001f527\|\\U0001f469\\U0001f3fd\\u200d\\U0001f527\|\\U0001f469\\U0001f3fe\\u200d\\U0001f527\|\\U0001f469\\U0001f3ff\\u200d\\U0001f527\|\\U0001f468\\U0001f3fb\\u200d\\U0001f3ed\|\\U0001f468\\U0001f3fc\\u200d\\U0001f3ed\|\\U0001f468\\U0001f3fd\\u200d\\U0001f3ed\|\\U0001f468\\U0001f3fe\\u200d\\U0001f3ed\|\\U0001f468\\U0001f3ff\\u200d\\U0001f3ed\|\\U0001f469\\U0001f3fb\\u200d\\U0001f3ed\|\\U0001f469\\U0001f3fc\\u200d\\U0001f3ed\|\\U0001f469\\U0001f3fd\\u200d\\U0001f3ed\|\\U0001f469\\U0001f3fe\\u200d\\U0001f3ed\|\\U0001f469\\U0001f3ff\\u200d\\U0001f3ed\|\\U0001f468\\U0001f3fb\\u200d\\U0001f4bc\|\\U0001f468\\U0001f3fc\\u200d\\U0001f4bc\|\\U0001f468\\U0001f3fd\\u200d\\U0001f4bc\|\\U0001f468\\U0001f3fe\\u200d\\U0001f4bc\|\\U0001f468\\U0001f3ff\\u200d\\U0001f4bc\|\\U0001f469\\U0001f3fb\\u200d\\U0001f4bc\|\\U0001f469\\U0001f3fc\\u200d\\U0001f4bc\|\\U0001f469\\U0001f3fd\\u200d\\U0001f4bc\|\\U0001f469\\U0001f3fe\\u200d\\U0001f4bc\|\\U0001f469\\U0001f3ff\\u200d\\U0001f4bc\|\\U0001f468\\U0001f3fb\\u200d\\U0001f52c\|\\U0001f468\\U0001f3fc\\u200d\\U0001f52c\|\\U0001f468\\U0001f3fd\\u200d\\U0001f52c\|\\U0001f468\\U0001f3fe\\u200d\\U0001f52c\|\\U0001f468\\U0001f3ff\\u200d\\U0001f52c\|\\U0001f469\\U0001f3fb\\u200d\\U0001f52c\|\\U0001f469\\U0001f3fc\\u200d\\U0001f52c\|\\U0001f469\\U0001f3fd\\u200d\\U0001f52c\|\\U0001f469\\U0001f3fe\\u200d\\U0001f52c\|\\U0001f469\\U0001f3ff\\u200d\\U0001f52c\|\\U0001f468\\U0001f3fb\\u200d\\U0001f4bb\|\\U0001f468\\U0001f3fc\\u200d\\U0001f4bb\|\\U0001f468\\U0001f3fd\\u200d\\U0001f4bb\|\\U0001f468\\U0001f3fe\\u200d\\U0001f4bb\|\\U0001f468\\U0001f3ff\\u200d\\U0001f4bb\|\\U0001f469\\U0001f3fb\\u200d\\U0001f4bb\|\\U0001f469\\U0001f3fc\\u200d\\U0001f4bb\|\\U0001f469\\U0001f3fd\\u200d\\U0001f4bb\|\\U0001f469\\U0001f3fe\\u200d\\U0001f4bb\|\\U0001f469\\U0001f3ff\\u200d\\U0001f4bb\|\\U0001f468\\U0001f3fb\\u200d\\U0001f3a4\|\\U0001f468\\U0001f3fc\\u200d\\U0001f3a4\|\\U0001f468\\U0001f3fd\\u200d\\U0001f3a4\|\\U0001f468\\U0001f3fe\\u200d\\U0001f3a4\|\\U0001f468\\U0001f3ff\\u200d\\U0001f3a4\|\\U0001f469\\U0001f3fb\\u200d\\U0001f3a4\|\\U0001f469\\U0001f3fc\\u200d\\U0001f3a4\|\\U0001f469\\U0001f3fd\\u200d\\U0001f3a4\|\\U0001f469\\U0001f3fe\\u200d\\U0001f3a4\|\\U0001f469\\U0001f3ff\\u200d\\U0001f3a4\|\\U0001f468\\U0001f3fb\\u200d\\U0001f3a8\|\\U0001f468\\U0001f3fc\\u200d\\U0001f3a8\|\\U0001f468\\U0001f3fd\\u200d\\U0001f3a8\|\\U0001f468\\U0001f3fe\\u200d\\U0001f3a8\|\\U0001f468\\U0001f3ff\\u200d\\U0001f3a8\|\\U0001f469\\U0001f3fb\\u200d\\U0001f3a8\|\\U0001f469\\U0001f3fc\\u200d\\U0001f3a8\|\\U0001f469\\U0001f3fd\\u200d\\U0001f3a8\|\\U0001f469\\U0001f3fe\\u200d\\U0001f3a8\|\\U0001f469\\U0001f3ff\\u200d\\U0001f3a8\|\\U0001f468\\u200d\\u2708\\ufe0f\|\\U0001f468\\U0001f3fb\\u200d\\u2708\|\\U0001f468\\U0001f3fc\\u200d\\u2708\|\\U0001f468\\U0001f3fd\\u200d\\u2708\|\\U0001f468\\U0001f3fe\\u200d\\u2708\|\\U0001f468\\U0001f3ff\\u200d\\u2708\|\\U0001f469\\u200d\\u2708\\ufe0f\|\\U0001f469\\U0001f3fb\\u200d\\u2708\|\\U0001f469\\U0001f3fc\\u200d\\u2708\|\\U0001f469\\U0001f3fd\\u200d\\u2708\|\\U0001f469\\U0001f3fe\\u200d\\u2708\|\\U0001f469\\U0001f3ff\\u200d\\u2708\|\\U0001f468\\U0001f3fb\\u200d\\U0001f680\|\\U0001f468\\U0001f3fc\\u200d\\U0001f680\|\\U0001f468\\U0001f3fd\\u200d\\U0001f680\|\\U0001f468\\U0001f3fe\\u200d\\U0001f680\|\\U0001f468\\U0001f3ff\\u200d\\U0001f680\|\\U0001f469\\U0001f3fb\\u200d\\U0001f680\|\\U0001f469\\U0001f3fc\\u200d\\U0001f680\|\\U0001f469\\U0001f3fd\\u200d\\U0001f680\|\\U0001f469\\U0001f3fe\\u200d\\U0001f680\|\\U0001f469\\U0001f3ff\\u200d\\U0001f680\|\\U0001f468\\U0001f3fb\\u200d\\U0001f692\|\\U0001f468\\U0001f3fc\\u200d\\U0001f692\|\\U0001f468\\U0001f3fd\\u200d\\U0001f692\|\\U0001f468\\U0001f3fe\\u200d\\U0001f692\|\\U0001f468\\U0001f3ff\\u200d\\U0001f692\|\\U0001f469\\U0001f3fb\\u200d\\U0001f692\|\\U0001f469\\U0001f3fc\\u200d\\U0001f692\|\\U0001f469\\U0001f3fd\\u200d\\U0001f692\|\\U0001f469\\U0001f3fe\\u200d\\U0001f692\|\\U0001f469\\U0001f3ff\\u200d\\U0001f692\|\\U0001f46e\\u200d\\u2642\\ufe0f\|\\U0001f46e\\U0001f3fb\\u200d\\u2642\|\\U0001f46e\\U0001f3fc\\u200d\\u2642\|\\U0001f46e\\U0001f3fd\\u200d\\u2642\|\\U0001f46e\\U0001f3fe\\u200d\\u2642\|\\U0001f46e\\U0001f3ff\\u200d\\u2642\|\\U0001f46e\\u200d\\u2640\\ufe0f\|\\U0001f46e\\U0001f3fb\\u200d\\u2640\|\\U0001f46e\\U0001f3fc\\u200d\\u2640\|\\U0001f46e\\U0001f3fd\\u200d\\u2640\|\\U0001f46e\\U0001f3fe\\u200d\\u2640\|\\U0001f46e\\U0001f3ff\\u200d\\u2640\|\\U0001f575\\u200d\\u2642\\ufe0f\|\\U0001f575\\ufe0f\\u200d\\u2642\|\\U0001f575\\U0001f3fb\\u200d\\u2642\|\\U0001f575\\U0001f3fc\\u200d\\u2642\|\\U0001f575\\U0001f3fd\\u200d\\u2642\|\\U0001f575\\U0001f3fe\\u200d\\u2642\|\\U0001f575\\U0001f3ff\\u200d\\u2642\|\\U0001f575\\u200d\\u2640\\ufe0f\|\\U0001f575\\ufe0f\\u200d\\u2640\|\\U0001f575\\U0001f3fb\\u200d\\u2640\|\\U0001f575\\U0001f3fc\\u200d\\u2640\|\\U0001f575\\U0001f3fd\\u200d\\u2640\|\\U0001f575\\U0001f3fe\\u200d\\u2640\|\\U0001f575\\U0001f3ff\\u200d\\u2640\|\\U0001f482\\u200d\\u2642\\ufe0f\|\\U0001f482\\U0001f3fb\\u200d\\u2642\|\\U0001f482\\U0001f3fc\\u200d\\u2642\|\\U0001f482\\U0001f3fd\\u200d\\u2642\|\\U0001f482\\U0001f3fe\\u200d\\u2642\|\\U0001f482\\U0001f3ff\\u200d\\u2642\|\\U0001f482\\u200d\\u2640\\ufe0f\|\\U0001f482\\U0001f3fb\\u200d\\u2640\|\\U0001f482\\U0001f3fc\\u200d\\u2640\|\\U0001f482\\U0001f3fd\\u200d\\u2640\|\\U0001f482\\U0001f3fe\\u200d\\u2640\|\\U0001f482\\U0001f3ff\\u200d\\u2640\|\\U0001f477\\u200d\\u2642\\ufe0f\|\\U0001f477\\U0001f3fb\\u200d\\u2642\|\\U0001f477\\U0001f3fc\\u200d\\u2642\|\\U0001f477\\U0001f3fd\\u200d\\u2642\|\\U0001f477\\U0001f3fe\\u200d\\u2642\|\\U0001f477\\U0001f3ff\\u200d\\u2642\|\\U0001f477\\u200d\\u2640\\ufe0f\|\\U0001f477\\U0001f3fb\\u200d\\u2640\|\\U0001f477\\U0001f3fc\\u200d\\u2640\|\\U0001f477\\U0001f3fd\\u200d\\u2640\|\\U0001f477\\U0001f3fe\\u200d\\u2640\|\\U0001f477\\U0001f3ff\\u200d\\u2640\|\\U0001f473\\u200d\\u2642\\ufe0f\|\\U0001f473\\U0001f3fb\\u200d\\u2642\|\\U0001f473\\U0001f3fc\\u200d\\u2642\|\\U0001f473\\U0001f3fd\\u200d\\u2642\|\\U0001f473\\U0001f3fe\\u200d\\u2642\|\\U0001f473\\U0001f3ff\\u200d\\u2642\|\\U0001f473\\u200d\\u2640\\ufe0f\|\\U0001f473\\U0001f3fb\\u200d\\u2640\|\\U0001f473\\U0001f3fc\\u200d\\u2640\|\\U0001f473\\U0001f3fd\\u200d\\u2640\|\\U0001f473\\U0001f3fe\\u200d\\u2640\|\\U0001f473\\U0001f3ff\\u200d\\u2640\|\\U0001f9b8\\u200d\\u2642\\ufe0f\|\\U0001f9b8\\U0001f3fb\\u200d\\u2642\|\\U0001f9b8\\U0001f3fc\\u200d\\u2642\|\\U0001f9b8\\U0001f3fd\\u200d\\u2642\|\\U0001f9b8\\U0001f3fe\\u200d\\u2642\|\\U0001f9b8\\U0001f3ff\\u200d\\u2642\|\\U0001f9b8\\u200d\\u2640\\ufe0f\|\\U0001f9b8\\U0001f3fb\\u200d\\u2640\|\\U0001f9b8\\U0001f3fc\\u200d\\u2640\|\\U0001f9b8\\U0001f3fd\\u200d\\u2640\|\\U0001f9b8\\U0001f3fe\\u200d\\u2640\|\\U0001f9b8\\U0001f3ff\\u200d\\u2640\|\\U0001f9b9\\u200d\\u2642\\ufe0f\|\\U0001f9b9\\U0001f3fb\\u200d\\u2642\|\\U0001f9b9\\U0001f3fc\\u200d\\u2642\|\\U0001f9b9\\U0001f3fd\\u200d\\u2642\|\\U0001f9b9\\U0001f3fe\\u200d\\u2642\|\\U0001f9b9\\U0001f3ff\\u200d\\u2642\|\\U0001f9b9\\u200d\\u2640\\ufe0f\|\\U0001f9b9\\U0001f3fb\\u200d\\u2640\|\\U0001f9b9\\U0001f3fc\\u200d\\u2640\|\\U0001f9b9\\U0001f3fd\\u200d\\u2640\|\\U0001f9b9\\U0001f3fe\\u200d\\u2640\|\\U0001f9b9\\U0001f3ff\\u200d\\u2640\|\\U0001f9d9\\u200d\\u2642\\ufe0f\|\\U0001f9d9\\U0001f3fb\\u200d\\u2642\|\\U0001f9d9\\U0001f3fc\\u200d\\u2642\|\\U0001f9d9\\U0001f3fd\\u200d\\u2642\|\\U0001f9d9\\U0001f3fe\\u200d\\u2642\|\\U0001f9d9\\U0001f3ff\\u200d\\u2642\|\\U0001f9d9\\u200d\\u2640\\ufe0f\|\\U0001f9d9\\U0001f3fb\\u200d\\u2640\|\\U0001f9d9\\U0001f3fc\\u200d\\u2640\|\\U0001f9d9\\U0001f3fd\\u200d\\u2640\|\\U0001f9d9\\U0001f3fe\\u200d\\u2640\|\\U0001f9d9\\U0001f3ff\\u200d\\u2640\|\\U0001f9da\\u200d\\u2642\\ufe0f\|\\U0001f9da\\U0001f3fb\\u200d\\u2642\|\\U0001f9da\\U0001f3fc\\u200d\\u2642\|\\U0001f9da\\U0001f3fd\\u200d\\u2642\|\\U0001f9da\\U0001f3fe\\u200d\\u2642\|\\U0001f9da\\U0001f3ff\\u200d\\u2642\|\\U0001f9da\\u200d\\u2640\\ufe0f\|\\U0001f9da\\U0001f3fb\\u200d\\u2640\|\\U0001f9da\\U0001f3fc\\u200d\\u2640\|\\U0001f9da\\U0001f3fd\\u200d\\u2640\|\\U0001f9da\\U0001f3fe\\u200d\\u2640\|\\U0001f9da\\U0001f3ff\\u200d\\u2640\|\\U0001f9db\\u200d\\u2642\\ufe0f\|\\U0001f9db\\U0001f3fb\\u200d\\u2642\|\\U0001f9db\\U0001f3fc\\u200d\\u2642\|\\U0001f9db\\U0001f3fd\\u200d\\u2642\|\\U0001f9db\\U0001f3fe\\u200d\\u2642\|\\U0001f9db\\U0001f3ff\\u200d\\u2642\|\\U0001f9db\\u200d\\u2640\\ufe0f\|\\U0001f9db\\U0001f3fb\\u200d\\u2640\|\\U0001f9db\\U0001f3fc\\u200d\\u2640\|\\U0001f9db\\U0001f3fd\\u200d\\u2640\|\\U0001f9db\\U0001f3fe\\u200d\\u2640\|\\U0001f9db\\U0001f3ff\\u200d\\u2640\|\\U0001f9dc\\u200d\\u2642\\ufe0f\|\\U0001f9dc\\U0001f3fb\\u200d\\u2642\|\\U0001f9dc\\U0001f3fc\\u200d\\u2642\|\\U0001f9dc\\U0001f3fd\\u200d\\u2642\|\\U0001f9dc\\U0001f3fe\\u200d\\u2642\|\\U0001f9dc\\U0001f3ff\\u200d\\u2642\|\\U0001f9dc\\u200d\\u2640\\ufe0f\|\\U0001f9dc\\U0001f3fb\\u200d\\u2640\|\\U0001f9dc\\U0001f3fc\\u200d\\u2640\|\\U0001f9dc\\U0001f3fd\\u200d\\u2640\|\\U0001f9dc\\U0001f3fe\\u200d\\u2640\|\\U0001f9dc\\U0001f3ff\\u200d\\u2640\|\\U0001f9dd\\u200d\\u2642\\ufe0f\|\\U0001f9dd\\U0001f3fb\\u200d\\u2642\|\\U0001f9dd\\U0001f3fc\\u200d\\u2642\|\\U0001f9dd\\U0001f3fd\\u200d\\u2642\|\\U0001f9dd\\U0001f3fe\\u200d\\u2642\|\\U0001f9dd\\U0001f3ff\\u200d\\u2642\|\\U0001f9dd\\u200d\\u2640\\ufe0f\|\\U0001f9dd\\U0001f3fb\\u200d\\u2640\|\\U0001f9dd\\U0001f3fc\\u200d\\u2640\|\\U0001f9dd\\U0001f3fd\\u200d\\u2640\|\\U0001f9dd\\U0001f3fe\\u200d\\u2640\|\\U0001f9dd\\U0001f3ff\\u200d\\u2640\|\\U0001f9de\\u200d\\u2642\\ufe0f\|\\U0001f9de\\u200d\\u2640\\ufe0f\|\\U0001f9df\\u200d\\u2642\\ufe0f\|\\U0001f9df\\u200d\\u2640\\ufe0f\|\\U0001f486\\u200d\\u2642\\ufe0f\|\\U0001f486\\U0001f3fb\\u200d\\u2642\|\\U0001f486\\U0001f3fc\\u200d\\u2642\|\\U0001f486\\U0001f3fd\\u200d\\u2642\|\\U0001f486\\U0001f3fe\\u200d\\u2642\|\\U0001f486\\U0001f3ff\\u200d\\u2642\|\\U0001f486\\u200d\\u2640\\ufe0f\|\\U0001f486\\U0001f3fb\\u200d\\u2640\|\\U0001f486\\U0001f3fc\\u200d\\u2640\|\\U0001f486\\U0001f3fd\\u200d\\u2640\|\\U0001f486\\U0001f3fe\\u200d\\u2640\|\\U0001f486\\U0001f3ff\\u200d\\u2640\|\\U0001f487\\u200d\\u2642\\ufe0f\|\\U0001f487\\U0001f3fb\\u200d\\u2642\|\\U0001f487\\U0001f3fc\\u200d\\u2642\|\\U0001f487\\U0001f3fd\\u200d\\u2642\|\\U0001f487\\U0001f3fe\\u200d\\u2642\|\\U0001f487\\U0001f3ff\\u200d\\u2642\|\\U0001f487\\u200d\\u2640\\ufe0f\|\\U0001f487\\U0001f3fb\\u200d\\u2640\|\\U0001f487\\U0001f3fc\\u200d\\u2640\|\\U0001f487\\U0001f3fd\\u200d\\u2640\|\\U0001f487\\U0001f3fe\\u200d\\u2640\|\\U0001f487\\U0001f3ff\\u200d\\u2640\|\\U0001f6b6\\u200d\\u2642\\ufe0f\|\\U0001f6b6\\U0001f3fb\\u200d\\u2642\|\\U0001f6b6\\U0001f3fc\\u200d\\u2642\|\\U0001f6b6\\U0001f3fd\\u200d\\u2642\|\\U0001f6b6\\U0001f3fe\\u200d\\u2642\|\\U0001f6b6\\U0001f3ff\\u200d\\u2642\|\\U0001f6b6\\u200d\\u2640\\ufe0f\|\\U0001f6b6\\U0001f3fb\\u200d\\u2640\|\\U0001f6b6\\U0001f3fc\\u200d\\u2640\|\\U0001f6b6\\U0001f3fd\\u200d\\u2640\|\\U0001f6b6\\U0001f3fe\\u200d\\u2640\|\\U0001f6b6\\U0001f3ff\\u200d\\u2640\|\\U0001f9cd\\u200d\\u2642\\ufe0f\|\\U0001f9cd\\U0001f3fb\\u200d\\u2642\|\\U0001f9cd\\U0001f3fc\\u200d\\u2642\|\\U0001f9cd\\U0001f3fd\\u200d\\u2642\|\\U0001f9cd\\U0001f3fe\\u200d\\u2642\|\\U0001f9cd\\U0001f3ff\\u200d\\u2642\|\\U0001f9cd\\u200d\\u2640\\ufe0f\|\\U0001f9cd\\U0001f3fb\\u200d\\u2640\|\\U0001f9cd\\U0001f3fc\\u200d\\u2640\|\\U0001f9cd\\U0001f3fd\\u200d\\u2640\|\\U0001f9cd\\U0001f3fe\\u200d\\u2640\|\\U0001f9cd\\U0001f3ff\\u200d\\u2640\|\\U0001f9ce\\u200d\\u2642\\ufe0f\|\\U0001f9ce\\U0001f3fb\\u200d\\u2642\|\\U0001f9ce\\U0001f3fc\\u200d\\u2642\|\\U0001f9ce\\U0001f3fd\\u200d\\u2642\|\\U0001f9ce\\U0001f3fe\\u200d\\u2642\|\\U0001f9ce\\U0001f3ff\\u200d\\u2642\|\\U0001f9ce\\u200d\\u2640\\ufe0f\|\\U0001f9ce\\U0001f3fb\\u200d\\u2640\|\\U0001f9ce\\U0001f3fc\\u200d\\u2640\|\\U0001f9ce\\U0001f3fd\\u200d\\u2640\|\\U0001f9ce\\U0001f3fe\\u200d\\u2640\|\\U0001f9ce\\U0001f3ff\\u200d\\u2640\|\\U0001f468\\U0001f3fb\\u200d\\U0001f9af\|\\U0001f468\\U0001f3fc\\u200d\\U0001f9af\|\\U0001f468\\U0001f3fd\\u200d\\U0001f9af\|\\U0001f468\\U0001f3fe\\u200d\\U0001f9af\|\\U0001f468\\U0001f3ff\\u200d\\U0001f9af\|\\U0001f469\\U0001f3fb\\u200d\\U0001f9af\|\\U0001f469\\U0001f3fc\\u200d\\U0001f9af\|\\U0001f469\\U0001f3fd\\u200d\\U0001f9af\|\\U0001f469\\U0001f3fe\\u200d\\U0001f9af\|\\U0001f469\\U0001f3ff\\u200d\\U0001f9af\|\\U0001f468\\U0001f3fb\\u200d\\U0001f9bc\|\\U0001f468\\U0001f3fc\\u200d\\U0001f9bc\|\\U0001f468\\U0001f3fd\\u200d\\U0001f9bc\|\\U0001f468\\U0001f3fe\\u200d\\U0001f9bc\|\\U0001f468\\U0001f3ff\\u200d\\U0001f9bc\|\\U0001f469\\U0001f3fb\\u200d\\U0001f9bc\|\\U0001f469\\U0001f3fc\\u200d\\U0001f9bc\|\\U0001f469\\U0001f3fd\\u200d\\U0001f9bc\|\\U0001f469\\U0001f3fe\\u200d\\U0001f9bc\|\\U0001f469\\U0001f3ff\\u200d\\U0001f9bc\|\\U0001f468\\U0001f3fb\\u200d\\U0001f9bd\|\\U0001f468\\U0001f3fc\\u200d\\U0001f9bd\|\\U0001f468\\U0001f3fd\\u200d\\U0001f9bd\|\\U0001f468\\U0001f3fe\\u200d\\U0001f9bd\|\\U0001f468\\U0001f3ff\\u200d\\U0001f9bd\|\\U0001f469\\U0001f3fb\\u200d\\U0001f9bd\|\\U0001f469\\U0001f3fc\\u200d\\U0001f9bd\|\\U0001f469\\U0001f3fd\\u200d\\U0001f9bd\|\\U0001f469\\U0001f3fe\\u200d\\U0001f9bd\|\\U0001f469\\U0001f3ff\\u200d\\U0001f9bd\|\\U0001f3c3\\u200d\\u2642\\ufe0f\|\\U0001f3c3\\U0001f3fb\\u200d\\u2642\|\\U0001f3c3\\U0001f3fc\\u200d\\u2642\|\\U0001f3c3\\U0001f3fd\\u200d\\u2642\|\\U0001f3c3\\U0001f3fe\\u200d\\u2642\|\\U0001f3c3\\U0001f3ff\\u200d\\u2642\|\\U0001f3c3\\u200d\\u2640\\ufe0f\|\\U0001f3c3\\U0001f3fb\\u200d\\u2640\|\\U0001f3c3\\U0001f3fc\\u200d\\u2640\|\\U0001f3c3\\U0001f3fd\\u200d\\u2640\|\\U0001f3c3\\U0001f3fe\\u200d\\u2640\|\\U0001f3c3\\U0001f3ff\\u200d\\u2640\|\\U0001f46f\\u200d\\u2642\\ufe0f\|\\U0001f46f\\u200d\\u2640\\ufe0f\|\\U0001f9d6\\u200d\\u2642\\ufe0f\|\\U0001f9d6\\U0001f3fb\\u200d\\u2642\|\\U0001f9d6\\U0001f3fc\\u200d\\u2642\|\\U0001f9d6\\U0001f3fd\\u200d\\u2642\|\\U0001f9d6\\U0001f3fe\\u200d\\u2642\|\\U0001f9d6\\U0001f3ff\\u200d\\u2642\|\\U0001f9d6\\u200d\\u2640\\ufe0f\|\\U0001f9d6\\U0001f3fb\\u200d\\u2640\|\\U0001f9d6\\U0001f3fc\\u200d\\u2640\|\\U0001f9d6\\U0001f3fd\\u200d\\u2640\|\\U0001f9d6\\U0001f3fe\\u200d\\u2640\|\\U0001f9d6\\U0001f3ff\\u200d\\u2640\|\\U0001f9d7\\u200d\\u2642\\ufe0f\|\\U0001f9d7\\U0001f3fb\\u200d\\u2642\|\\U0001f9d7\\U0001f3fc\\u200d\\u2642\|\\U0001f9d7\\U0001f3fd\\u200d\\u2642\|\\U0001f9d7\\U0001f3fe\\u200d\\u2642\|\\U0001f9d7\\U0001f3ff\\u200d\\u2642\|\\U0001f9d7\\u200d\\u2640\\ufe0f\|\\U0001f9d7\\U0001f3fb\\u200d\\u2640\|\\U0001f9d7\\U0001f3fc\\u200d\\u2640\|\\U0001f9d7\\U0001f3fd\\u200d\\u2640\|\\U0001f9d7\\U0001f3fe\\u200d\\u2640\|\\U0001f9d7\\U0001f3ff\\u200d\\u2640\|\\U0001f3cc\\u200d\\u2642\\ufe0f\|\\U0001f3cc\\ufe0f\\u200d\\u2642\|\\U0001f3cc\\U0001f3fb\\u200d\\u2642\|\\U0001f3cc\\U0001f3fc\\u200d\\u2642\|\\U0001f3cc\\U0001f3fd\\u200d\\u2642\|\\U0001f3cc\\U0001f3fe\\u200d\\u2642\|\\U0001f3cc\\U0001f3ff\\u200d\\u2642\|\\U0001f3cc\\u200d\\u2640\\ufe0f\|\\U0001f3cc\\ufe0f\\u200d\\u2640\|\\U0001f3cc\\U0001f3fb\\u200d\\u2640\|\\U0001f3cc\\U0001f3fc\\u200d\\u2640\|\\U0001f3cc\\U0001f3fd\\u200d\\u2640\|\\U0001f3cc\\U0001f3fe\\u200d\\u2640\|\\U0001f3cc\\U0001f3ff\\u200d\\u2640\|\\U0001f3c4\\u200d\\u2642\\ufe0f\|\\U0001f3c4\\U0001f3fb\\u200d\\u2642\|\\U0001f3c4\\U0001f3fc\\u200d\\u2642\|\\U0001f3c4\\U0001f3fd\\u200d\\u2642\|\\U0001f3c4\\U0001f3fe\\u200d\\u2642\|\\U0001f3c4\\U0001f3ff\\u200d\\u2642\|\\U0001f3c4\\u200d\\u2640\\ufe0f\|\\U0001f3c4\\U0001f3fb\\u200d\\u2640\|\\U0001f3c4\\U0001f3fc\\u200d\\u2640\|\\U0001f3c4\\U0001f3fd\\u200d\\u2640\|\\U0001f3c4\\U0001f3fe\\u200d\\u2640\|\\U0001f3c4\\U0001f3ff\\u200d\\u2640\|\\U0001f6a3\\u200d\\u2642\\ufe0f\|\\U0001f6a3\\U0001f3fb\\u200d\\u2642\|\\U0001f6a3\\U0001f3fc\\u200d\\u2642\|\\U0001f6a3\\U0001f3fd\\u200d\\u2642\|\\U0001f6a3\\U0001f3fe\\u200d\\u2642\|\\U0001f6a3\\U0001f3ff\\u200d\\u2642\|\\U0001f6a3\\u200d\\u2640\\ufe0f\|\\U0001f6a3\\U0001f3fb\\u200d\\u2640\|\\U0001f6a3\\U0001f3fc\\u200d\\u2640\|\\U0001f6a3\\U0001f3fd\\u200d\\u2640\|\\U0001f6a3\\U0001f3fe\\u200d\\u2640\|\\U0001f6a3\\U0001f3ff\\u200d\\u2640\|\\U0001f3ca\\u200d\\u2642\\ufe0f\|\\U0001f3ca\\U0001f3fb\\u200d\\u2642\|\\U0001f3ca\\U0001f3fc\\u200d\\u2642\|\\U0001f3ca\\U0001f3fd\\u200d\\u2642\|\\U0001f3ca\\U0001f3fe\\u200d\\u2642\|\\U0001f3ca\\U0001f3ff\\u200d\\u2642\|\\U0001f3ca\\u200d\\u2640\\ufe0f\|\\U0001f3ca\\U0001f3fb\\u200d\\u2640\|\\U0001f3ca\\U0001f3fc\\u200d\\u2640\|\\U0001f3ca\\U0001f3fd\\u200d\\u2640\|\\U0001f3ca\\U0001f3fe\\u200d\\u2640\|\\U0001f3ca\\U0001f3ff\\u200d\\u2640\|\\u26f9\\u200d\\u2642\\ufe0f\|\\u26f9\\ufe0f\\u200d\\u2642\|\\u26f9\\U0001f3fb\\u200d\\u2642\|\\u26f9\\U0001f3fc\\u200d\\u2642\|\\u26f9\\U0001f3fd\\u200d\\u2642\|\\u26f9\\U0001f3fe\\u200d\\u2642\|\\u26f9\\U0001f3ff\\u200d\\u2642\|\\u26f9\\u200d\\u2640\\ufe0f\|\\u26f9\\ufe0f\\u200d\\u2640\|\\u26f9\\U0001f3fb\\u200d\\u2640\|\\u26f9\\U0001f3fc\\u200d\\u2640\|\\u26f9\\U0001f3fd\\u200d\\u2640\|\\u26f9\\U0001f3fe\\u200d\\u2640\|\\u26f9\\U0001f3ff\\u200d\\u2640\|\\U0001f3cb\\u200d\\u2642\\ufe0f\|\\U0001f3cb\\ufe0f\\u200d\\u2642\|\\U0001f3cb\\U0001f3fb\\u200d\\u2642\|\\U0001f3cb\\U0001f3fc\\u200d\\u2642\|\\U0001f3cb\\U0001f3fd\\u200d\\u2642\|\\U0001f3cb\\U0001f3fe\\u200d\\u2642\|\\U0001f3cb\\U0001f3ff\\u200d\\u2642\|\\U0001f3cb\\u200d\\u2640\\ufe0f\|\\U0001f3cb\\ufe0f\\u200d\\u2640\|\\U0001f3cb\\U0001f3fb\\u200d\\u2640\|\\U0001f3cb\\U0001f3fc\\u200d\\u2640\|\\U0001f3cb\\U0001f3fd\\u200d\\u2640\|\\U0001f3cb\\U0001f3fe\\u200d\\u2640\|\\U0001f3cb\\U0001f3ff\\u200d\\u2640\|\\U0001f6b4\\u200d\\u2642\\ufe0f\|\\U0001f6b4\\U0001f3fb\\u200d\\u2642\|\\U0001f6b4\\U0001f3fc\\u200d\\u2642\|\\U0001f6b4\\U0001f3fd\\u200d\\u2642\|\\U0001f6b4\\U0001f3fe\\u200d\\u2642\|\\U0001f6b4\\U0001f3ff\\u200d\\u2642\|\\U0001f6b4\\u200d\\u2640\\ufe0f\|\\U0001f6b4\\U0001f3fb\\u200d\\u2640\|\\U0001f6b4\\U0001f3fc\\u200d\\u2640\|\\U0001f6b4\\U0001f3fd\\u200d\\u2640\|\\U0001f6b4\\U0001f3fe\\u200d\\u2640\|\\U0001f6b4\\U0001f3ff\\u200d\\u2640\|\\U0001f6b5\\u200d\\u2642\\ufe0f\|\\U0001f6b5\\U0001f3fb\\u200d\\u2642\|\\U0001f6b5\\U0001f3fc\\u200d\\u2642\|\\U0001f6b5\\U0001f3fd\\u200d\\u2642\|\\U0001f6b5\\U0001f3fe\\u200d\\u2642\|\\U0001f6b5\\U0001f3ff\\u200d\\u2642\|\\U0001f6b5\\u200d\\u2640\\ufe0f\|\\U0001f6b5\\U0001f3fb\\u200d\\u2640\|\\U0001f6b5\\U0001f3fc\\u200d\\u2640\|\\U0001f6b5\\U0001f3fd\\u200d\\u2640\|\\U0001f6b5\\U0001f3fe\\u200d\\u2640\|\\U0001f6b5\\U0001f3ff\\u200d\\u2640\|\\U0001f938\\u200d\\u2642\\ufe0f\|\\U0001f938\\U0001f3fb\\u200d\\u2642\|\\U0001f938\\U0001f3fc\\u200d\\u2642\|\\U0001f938\\U0001f3fd\\u200d\\u2642\|\\U0001f938\\U0001f3fe\\u200d\\u2642\|\\U0001f938\\U0001f3ff\\u200d\\u2642\|\\U0001f938\\u200d\\u2640\\ufe0f\|\\U0001f938\\U0001f3fb\\u200d\\u2640\|\\U0001f938\\U0001f3fc\\u200d\\u2640\|\\U0001f938\\U0001f3fd\\u200d\\u2640\|\\U0001f938\\U0001f3fe\\u200d\\u2640\|\\U0001f938\\U0001f3ff\\u200d\\u2640\|\\U0001f93c\\u200d\\u2642\\ufe0f\|\\U0001f93c\\u200d\\u2640\\ufe0f\|\\U0001f93d\\u200d\\u2642\\ufe0f\|\\U0001f93d\\U0001f3fb\\u200d\\u2642\|\\U0001f93d\\U0001f3fc\\u200d\\u2642\|\\U0001f93d\\U0001f3fd\\u200d\\u2642\|\\U0001f93d\\U0001f3fe\\u200d\\u2642\|\\U0001f93d\\U0001f3ff\\u200d\\u2642\|\\U0001f93d\\u200d\\u2640\\ufe0f\|\\U0001f93d\\U0001f3fb\\u200d\\u2640\|\\U0001f93d\\U0001f3fc\\u200d\\u2640\|\\U0001f93d\\U0001f3fd\\u200d\\u2640\|\\U0001f93d\\U0001f3fe\\u200d\\u2640\|\\U0001f93d\\U0001f3ff\\u200d\\u2640\|\\U0001f93e\\u200d\\u2642\\ufe0f\|\\U0001f93e\\U0001f3fb\\u200d\\u2642\|\\U0001f93e\\U0001f3fc\\u200d\\u2642\|\\U0001f93e\\U0001f3fd\\u200d\\u2642\|\\U0001f93e\\U0001f3fe\\u200d\\u2642\|\\U0001f93e\\U0001f3ff\\u200d\\u2642\|\\U0001f93e\\u200d\\u2640\\ufe0f\|\\U0001f93e\\U0001f3fb\\u200d\\u2640\|\\U0001f93e\\U0001f3fc\\u200d\\u2640\|\\U0001f93e\\U0001f3fd\\u200d\\u2640\|\\U0001f93e\\U0001f3fe\\u200d\\u2640\|\\U0001f93e\\U0001f3ff\\u200d\\u2640\|\\U0001f939\\u200d\\u2642\\ufe0f\|\\U0001f939\\U0001f3fb\\u200d\\u2642\|\\U0001f939\\U0001f3fc\\u200d\\u2642\|\\U0001f939\\U0001f3fd\\u200d\\u2642\|\\U0001f939\\U0001f3fe\\u200d\\u2642\|\\U0001f939\\U0001f3ff\\u200d\\u2642\|\\U0001f939\\u200d\\u2640\\ufe0f\|\\U0001f939\\U0001f3fb\\u200d\\u2640\|\\U0001f939\\U0001f3fc\\u200d\\u2640\|\\U0001f939\\U0001f3fd\\u200d\\u2640\|\\U0001f939\\U0001f3fe\\u200d\\u2640\|\\U0001f939\\U0001f3ff\\u200d\\u2640\|\\U0001f9d8\\u200d\\u2642\\ufe0f\|\\U0001f9d8\\U0001f3fb\\u200d\\u2642\|\\U0001f9d8\\U0001f3fc\\u200d\\u2642\|\\U0001f9d8\\U0001f3fd\\u200d\\u2642\|\\U0001f9d8\\U0001f3fe\\u200d\\u2642\|\\U0001f9d8\\U0001f3ff\\u200d\\u2642\|\\U0001f9d8\\u200d\\u2640\\ufe0f\|\\U0001f9d8\\U0001f3fb\\u200d\\u2640\|\\U0001f9d8\\U0001f3fc\\u200d\\u2640\|\\U0001f9d8\\U0001f3fd\\u200d\\u2640\|\\U0001f9d8\\U0001f3fe\\u200d\\u2640\|\\U0001f9d8\\U0001f3ff\\u200d\\u2640\|\\U0001f3f3\\ufe0f\\u200d\\U0001f308\|\\U0001f3f4\\u200d\\u2620\\ufe0f\|\\U0001f441\\u200d\\U0001f5e8\|\\U0001f471\\u200d\\u2642\|\\U0001f468\\u200d\\U0001f9b0\|\\U0001f468\\u200d\\U0001f9b1\|\\U0001f468\\u200d\\U0001f9b3\|\\U0001f468\\u200d\\U0001f9b2\|\\U0001f471\\u200d\\u2640\|\\U0001f469\\u200d\\U0001f9b0\|\\U0001f469\\u200d\\U0001f9b1\|\\U0001f469\\u200d\\U0001f9b3\|\\U0001f469\\u200d\\U0001f9b2\|\\U0001f64d\\u200d\\u2642\|\\U0001f64d\\u200d\\u2640\|\\U0001f64e\\u200d\\u2642\|\\U0001f64e\\u200d\\u2640\|\\U0001f645\\u200d\\u2642\|\\U0001f645\\u200d\\u2640\|\\U0001f646\\u200d\\u2642\|\\U0001f646\\u200d\\u2640\|\\U0001f481\\u200d\\u2642\|\\U0001f481\\u200d\\u2640\|\\U0001f64b\\u200d\\u2642\|\\U0001f64b\\u200d\\u2640\|\\U0001f9cf\\u200d\\u2642\|\\U0001f9cf\\u200d\\u2640\|\\U0001f647\\u200d\\u2642\|\\U0001f647\\u200d\\u2640\|\\U0001f926\\u200d\\u2642\|\\U0001f926\\u200d\\u2640\|\\U0001f937\\u200d\\u2642\|\\U0001f937\\u200d\\u2640\|\\U0001f468\\u200d\\u2695\|\\U0001f469\\u200d\\u2695\|\\U0001f468\\u200d\\U0001f393\|\\U0001f469\\u200d\\U0001f393\|\\U0001f468\\u200d\\U0001f3eb\|\\U0001f469\\u200d\\U0001f3eb\|\\U0001f468\\u200d\\u2696\|\\U0001f469\\u200d\\u2696\|\\U0001f468\\u200d\\U0001f33e\|\\U0001f469\\u200d\\U0001f33e\|\\U0001f468\\u200d\\U0001f373\|\\U0001f469\\u200d\\U0001f373\|\\U0001f468\\u200d\\U0001f527\|\\U0001f469\\u200d\\U0001f527\|\\U0001f468\\u200d\\U0001f3ed\|\\U0001f469\\u200d\\U0001f3ed\|\\U0001f468\\u200d\\U0001f4bc\|\\U0001f469\\u200d\\U0001f4bc\|\\U0001f468\\u200d\\U0001f52c\|\\U0001f469\\u200d\\U0001f52c\|\\U0001f468\\u200d\\U0001f4bb\|\\U0001f469\\u200d\\U0001f4bb\|\\U0001f468\\u200d\\U0001f3a4\|\\U0001f469\\u200d\\U0001f3a4\|\\U0001f468\\u200d\\U0001f3a8\|\\U0001f469\\u200d\\U0001f3a8\|\\U0001f468\\u200d\\u2708\|\\U0001f469\\u200d\\u2708\|\\U0001f468\\u200d\\U0001f680\|\\U0001f469\\u200d\\U0001f680\|\\U0001f468\\u200d\\U0001f692\|\\U0001f469\\u200d\\U0001f692\|\\U0001f46e\\u200d\\u2642\|\\U0001f46e\\u200d\\u2640\|\\U0001f575\\u200d\\u2642\|\\U0001f575\\u200d\\u2640\|\\U0001f482\\u200d\\u2642\|\\U0001f482\\u200d\\u2640\|\\U0001f477\\u200d\\u2642\|\\U0001f477\\u200d\\u2640\|\\U0001f473\\u200d\\u2642\|\\U0001f473\\u200d\\u2640\|\\U0001f9b8\\u200d\\u2642\|\\U0001f9b8\\u200d\\u2640\|\\U0001f9b9\\u200d\\u2642\|\\U0001f9b9\\u200d\\u2640\|\\U0001f9d9\\u200d\\u2642\|\\U0001f9d9\\u200d\\u2640\|\\U0001f9da\\u200d\\u2642\|\\U0001f9da\\u200d\\u2640\|\\U0001f9db\\u200d\\u2642\|\\U0001f9db\\u200d\\u2640\|\\U0001f9dc\\u200d\\u2642\|\\U0001f9dc\\u200d\\u2640\|\\U0001f9dd\\u200d\\u2642\|\\U0001f9dd\\u200d\\u2640\|\\U0001f9de\\u200d\\u2642\|\\U0001f9de\\u200d\\u2640\|\\U0001f9df\\u200d\\u2642\|\\U0001f9df\\u200d\\u2640\|\\U0001f486\\u200d\\u2642\|\\U0001f486\\u200d\\u2640\|\\U0001f487\\u200d\\u2642\|\\U0001f487\\u200d\\u2640\|\\U0001f6b6\\u200d\\u2642\|\\U0001f6b6\\u200d\\u2640\|\\U0001f9cd\\u200d\\u2642\|\\U0001f9cd\\u200d\\u2640\|\\U0001f9ce\\u200d\\u2642\|\\U0001f9ce\\u200d\\u2640\|\\U0001f468\\u200d\\U0001f9af\|\\U0001f469\\u200d\\U0001f9af\|\\U0001f468\\u200d\\U0001f9bc\|\\U0001f469\\u200d\\U0001f9bc\|\\U0001f468\\u200d\\U0001f9bd\|\\U0001f469\\u200d\\U0001f9bd\|\\U0001f3c3\\u200d\\u2642\|\\U0001f3c3\\u200d\\u2640\|\\U0001f46f\\u200d\\u2642\|\\U0001f46f\\u200d\\u2640\|\\U0001f9d6\\u200d\\u2642\|\\U0001f9d6\\u200d\\u2640\|\\U0001f9d7\\u200d\\u2642\|\\U0001f9d7\\u200d\\u2640\|\\U0001f3cc\\u200d\\u2642\|\\U0001f3cc\\u200d\\u2640\|\\U0001f3c4\\u200d\\u2642\|\\U0001f3c4\\u200d\\u2640\|\\U0001f6a3\\u200d\\u2642\|\\U0001f6a3\\u200d\\u2640\|\\U0001f3ca\\u200d\\u2642\|\\U0001f3ca\\u200d\\u2640\|\\u26f9\\u200d\\u2642\|\\u26f9\\u200d\\u2640\|\\U0001f3cb\\u200d\\u2642\|\\U0001f3cb\\u200d\\u2640\|\\U0001f6b4\\u200d\\u2642\|\\U0001f6b4\\u200d\\u2640\|\\U0001f6b5\\u200d\\u2642\|\\U0001f6b5\\u200d\\u2640\|\\U0001f938\\u200d\\u2642\|\\U0001f938\\u200d\\u2640\|\\U0001f93c\\u200d\\u2642\|\\U0001f93c\\u200d\\u2640\|\\U0001f93d\\u200d\\u2642\|\\U0001f93d\\u200d\\u2640\|\\U0001f93e\\u200d\\u2642\|\\U0001f93e\\u200d\\u2640\|\\U0001f939\\u200d\\u2642\|\\U0001f939\\u200d\\u2640\|\\U0001f9d8\\u200d\\u2642\|\\U0001f9d8\\u200d\\u2640\|\\U0001f468\\u200d\\U0001f466\|\\U0001f468\\u200d\\U0001f467\|\\U0001f469\\u200d\\U0001f466\|\\U0001f469\\u200d\\U0001f467\|\\U0001f415\\u200d\\U0001f9ba\|\\\\#\\ufe0f\\u20e3\|\\\\\\ufe0f\\u20e3\|0\\ufe0f\\u20e3\|1\\ufe0f\\u20e3\|2\\ufe0f\\u20e3\|3\\ufe0f\\u20e3\|4\\ufe0f\\u20e3\|5\\ufe0f\\u20e3\|6\\ufe0f\\u20e3\|7\\ufe0f\\u20e3\|8\\ufe0f\\u20e3\|9\\ufe0f\\u20e3\|\\U0001f3f3\\u200d\\U0001f308\|\\U0001f3f4\\u200d\\u2620\|\\u263a\\ufe0f\|\\u2639\\ufe0f\|\\u2620\\ufe0f\|\\u2763\\ufe0f\|\\u2764\\ufe0f\|\\U0001f573\\ufe0f\|\\U0001f5e8\\ufe0f\|\\U0001f5ef\\ufe0f\|\\U0001f44b\\U0001f3fb\|\\U0001f44b\\U0001f3fc\|\\U0001f44b\\U0001f3fd\|\\U0001f44b\\U0001f3fe\|\\U0001f44b\\U0001f3ff\|\\U0001f91a\\U0001f3fb\|\\U0001f91a\\U0001f3fc\|\\U0001f91a\\U0001f3fd\|\\U0001f91a\\U0001f3fe\|\\U0001f91a\\U0001f3ff\|\\U0001f590\\ufe0f\|\\U0001f590\\U0001f3fb\|\\U0001f590\\U0001f3fc\|\\U0001f590\\U0001f3fd\|\\U0001f590\\U0001f3fe\|\\U0001f590\\U0001f3ff\|\\u270b\\U0001f3fb\|\\u270b\\U0001f3fc\|\\u270b\\U0001f3fd\|\\u270b\\U0001f3fe\|\\u270b\\U0001f3ff\|\\U0001f596\\U0001f3fb\|\\U0001f596\\U0001f3fc\|\\U0001f596\\U0001f3fd\|\\U0001f596\\U0001f3fe\|\\U0001f596\\U0001f3ff\|\\U0001f44c\\U0001f3fb\|\\U0001f44c\\U0001f3fc\|\\U0001f44c\\U0001f3fd\|\\U0001f44c\\U0001f3fe\|\\U0001f44c\\U0001f3ff\|\\U0001f90f\\U0001f3fb\|\\U0001f90f\\U0001f3fc\|\\U0001f90f\\U0001f3fd\|\\U0001f90f\\U0001f3fe\|\\U0001f90f\\U0001f3ff\|\\u270c\\ufe0f\|\\u270c\\U0001f3fb\|\\u270c\\U0001f3fc\|\\u270c\\U0001f3fd\|\\u270c\\U0001f3fe\|\\u270c\\U0001f3ff\|\\U0001f91e\\U0001f3fb\|\\U0001f91e\\U0001f3fc\|\\U0001f91e\\U0001f3fd\|\\U0001f91e\\U0001f3fe\|\\U0001f91e\\U0001f3ff\|\\U0001f91f\\U0001f3fb\|\\U0001f91f\\U0001f3fc\|\\U0001f91f\\U0001f3fd\|\\U0001f91f\\U0001f3fe\|\\U0001f91f\\U0001f3ff\|\\U0001f918\\U0001f3fb\|\\U0001f918\\U0001f3fc\|\\U0001f918\\U0001f3fd\|\\U0001f918\\U0001f3fe\|\\U0001f918\\U0001f3ff\|\\U0001f919\\U0001f3fb\|\\U0001f919\\U0001f3fc\|\\U0001f919\\U0001f3fd\|\\U0001f919\\U0001f3fe\|\\U0001f919\\U0001f3ff\|\\U0001f448\\U0001f3fb\|\\U0001f448\\U0001f3fc\|\\U0001f448\\U0001f3fd\|\\U0001f448\\U0001f3fe\|\\U0001f448\\U0001f3ff\|\\U0001f449\\U0001f3fb\|\\U0001f449\\U0001f3fc\|\\U0001f449\\U0001f3fd\|\\U0001f449\\U0001f3fe\|\\U0001f449\\U0001f3ff\|\\U0001f446\\U0001f3fb\|\\U0001f446\\U0001f3fc\|\\U0001f446\\U0001f3fd\|\\U0001f446\\U0001f3fe\|\\U0001f446\\U0001f3ff\|\\U0001f595\\U0001f3fb\|\\U0001f595\\U0001f3fc\|\\U0001f595\\U0001f3fd\|\\U0001f595\\U0001f3fe\|\\U0001f595\\U0001f3ff\|\\U0001f447\\U0001f3fb\|\\U0001f447\\U0001f3fc\|\\U0001f447\\U0001f3fd\|\\U0001f447\\U0001f3fe\|\\U0001f447\\U0001f3ff\|\\u261d\\ufe0f\|\\u261d\\U0001f3fb\|\\u261d\\U0001f3fc\|\\u261d\\U0001f3fd\|\\u261d\\U0001f3fe\|\\u261d\\U0001f3ff\|\\U0001f44d\\U0001f3fb\|\\U0001f44d\\U0001f3fc\|\\U0001f44d\\U0001f3fd\|\\U0001f44d\\U0001f3fe\|\\U0001f44d\\U0001f3ff\|\\U0001f44e\\U0001f3fb\|\\U0001f44e\\U0001f3fc\|\\U0001f44e\\U0001f3fd\|\\U0001f44e\\U0001f3fe\|\\U0001f44e\\U0001f3ff\|\\u270a\\U0001f3fb\|\\u270a\\U0001f3fc\|\\u270a\\U0001f3fd\|\\u270a\\U0001f3fe\|\\u270a\\U0001f3ff\|\\U0001f44a\\U0001f3fb\|\\U0001f44a\\U0001f3fc\|\\U0001f44a\\U0001f3fd\|\\U0001f44a\\U0001f3fe\|\\U0001f44a\\U0001f3ff\|\\U0001f91b\\U0001f3fb\|\\U0001f91b\\U0001f3fc\|\\U0001f91b\\U0001f3fd\|\\U0001f91b\\U0001f3fe\|\\U0001f91b\\U0001f3ff\|\\U0001f91c\\U0001f3fb\|\\U0001f91c\\U0001f3fc\|\\U0001f91c\\U0001f3fd\|\\U0001f91c\\U0001f3fe\|\\U0001f91c\\U0001f3ff\|\\U0001f44f\\U0001f3fb\|\\U0001f44f\\U0001f3fc\|\\U0001f44f\\U0001f3fd\|\\U0001f44f\\U0001f3fe\|\\U0001f44f\\U0001f3ff\|\\U0001f64c\\U0001f3fb\|\\U0001f64c\\U0001f3fc\|\\U0001f64c\\U0001f3fd\|\\U0001f64c\\U0001f3fe\|\\U0001f64c\\U0001f3ff\|\\U0001f450\\U0001f3fb\|\\U0001f450\\U0001f3fc\|\\U0001f450\\U0001f3fd\|\\U0001f450\\U0001f3fe\|\\U0001f450\\U0001f3ff\|\\U0001f932\\U0001f3fb\|\\U0001f932\\U0001f3fc\|\\U0001f932\\U0001f3fd\|\\U0001f932\\U0001f3fe\|\\U0001f932\\U0001f3ff\|\\U0001f64f\\U0001f3fb\|\\U0001f64f\\U0001f3fc\|\\U0001f64f\\U0001f3fd\|\\U0001f64f\\U0001f3fe\|\\U0001f64f\\U0001f3ff\|\\u270d\\ufe0f\|\\u270d\\U0001f3fb\|\\u270d\\U0001f3fc\|\\u270d\\U0001f3fd\|\\u270d\\U0001f3fe\|\\u270d\\U0001f3ff\|\\U0001f485\\U0001f3fb\|\\U0001f485\\U0001f3fc\|\\U0001f485\\U0001f3fd\|\\U0001f485\\U0001f3fe\|\\U0001f485\\U0001f3ff\|\\U0001f933\\U0001f3fb\|\\U0001f933\\U0001f3fc\|\\U0001f933\\U0001f3fd\|\\U0001f933\\U0001f3fe\|\\U0001f933\\U0001f3ff\|\\U0001f4aa\\U0001f3fb\|\\U0001f4aa\\U0001f3fc\|\\U0001f4aa\\U0001f3fd\|\\U0001f4aa\\U0001f3fe\|\\U0001f4aa\\U0001f3ff\|\\U0001f9b5\\U0001f3fb\|\\U0001f9b5\\U0001f3fc\|\\U0001f9b5\\U0001f3fd\|\\U0001f9b5\\U0001f3fe\|\\U0001f9b5\\U0001f3ff\|\\U0001f9b6\\U0001f3fb\|\\U0001f9b6\\U0001f3fc\|\\U0001f9b6\\U0001f3fd\|\\U0001f9b6\\U0001f3fe\|\\U0001f9b6\\U0001f3ff\|\\U0001f442\\U0001f3fb\|\\U0001f442\\U0001f3fc\|\\U0001f442\\U0001f3fd\|\\U0001f442\\U0001f3fe\|\\U0001f442\\U0001f3ff\|\\U0001f9bb\\U0001f3fb\|\\U0001f9bb\\U0001f3fc\|\\U0001f9bb\\U0001f3fd\|\\U0001f9bb\\U0001f3fe\|\\U0001f9bb\\U0001f3ff\|\\U0001f443\\U0001f3fb\|\\U0001f443\\U0001f3fc\|\\U0001f443\\U0001f3fd\|\\U0001f443\\U0001f3fe\|\\U0001f443\\U0001f3ff\|\\U0001f441\\ufe0f\|\\U0001f476\\U0001f3fb\|\\U0001f476\\U0001f3fc\|\\U0001f476\\U0001f3fd\|\\U0001f476\\U0001f3fe\|\\U0001f476\\U0001f3ff\|\\U0001f9d2\\U0001f3fb\|\\U0001f9d2\\U0001f3fc\|\\U0001f9d2\\U0001f3fd\|\\U0001f9d2\\U0001f3fe\|\\U0001f9d2\\U0001f3ff\|\\U0001f466\\U0001f3fb\|\\U0001f466\\U0001f3fc\|\\U0001f466\\U0001f3fd\|\\U0001f466\\U0001f3fe\|\\U0001f466\\U0001f3ff\|\\U0001f467\\U0001f3fb\|\\U0001f467\\U0001f3fc\|\\U0001f467\\U0001f3fd\|\\U0001f467\\U0001f3fe\|\\U0001f467\\U0001f3ff\|\\U0001f9d1\\U0001f3fb\|\\U0001f9d1\\U0001f3fc\|\\U0001f9d1\\U0001f3fd\|\\U0001f9d1\\U0001f3fe\|\\U0001f9d1\\U0001f3ff\|\\U0001f471\\U0001f3fb\|\\U0001f471\\U0001f3fc\|\\U0001f471\\U0001f3fd\|\\U0001f471\\U0001f3fe\|\\U0001f471\\U0001f3ff\|\\U0001f468\\U0001f3fb\|\\U0001f468\\U0001f3fc\|\\U0001f468\\U0001f3fd\|\\U0001f468\\U0001f3fe\|\\U0001f468\\U0001f3ff\|\\U0001f9d4\\U0001f3fb\|\\U0001f9d4\\U0001f3fc\|\\U0001f9d4\\U0001f3fd\|\\U0001f9d4\\U0001f3fe\|\\U0001f9d4\\U0001f3ff\|\\U0001f469\\U0001f3fb\|\\U0001f469\\U0001f3fc\|\\U0001f469\\U0001f3fd\|\\U0001f469\\U0001f3fe\|\\U0001f469\\U0001f3ff\|\\U0001f9d3\\U0001f3fb\|\\U0001f9d3\\U0001f3fc\|\\U0001f9d3\\U0001f3fd\|\\U0001f9d3\\U0001f3fe\|\\U0001f9d3\\U0001f3ff\|\\U0001f474\\U0001f3fb\|\\U0001f474\\U0001f3fc\|\\U0001f474\\U0001f3fd\|\\U0001f474\\U0001f3fe\|\\U0001f474\\U0001f3ff\|\\U0001f475\\U0001f3fb\|\\U0001f475\\U0001f3fc\|\\U0001f475\\U0001f3fd\|\\U0001f475\\U0001f3fe\|\\U0001f475\\U0001f3ff\|\\U0001f64d\\U0001f3fb\|\\U0001f64d\\U0001f3fc\|\\U0001f64d\\U0001f3fd\|\\U0001f64d\\U0001f3fe\|\\U0001f64d\\U0001f3ff\|\\U0001f64e\\U0001f3fb\|\\U0001f64e\\U0001f3fc\|\\U0001f64e\\U0001f3fd\|\\U0001f64e\\U0001f3fe\|\\U0001f64e\\U0001f3ff\|\\U0001f645\\U0001f3fb\|\\U0001f645\\U0001f3fc\|\\U0001f645\\U0001f3fd\|\\U0001f645\\U0001f3fe\|\\U0001f645\\U0001f3ff\|\\U0001f646\\U0001f3fb\|\\U0001f646\\U0001f3fc\|\\U0001f646\\U0001f3fd\|\\U0001f646\\U0001f3fe\|\\U0001f646\\U0001f3ff\|\\U0001f481\\U0001f3fb\|\\U0001f481\\U0001f3fc\|\\U0001f481\\U0001f3fd\|\\U0001f481\\U0001f3fe\|\\U0001f481\\U0001f3ff\|\\U0001f64b\\U0001f3fb\|\\U0001f64b\\U0001f3fc\|\\U0001f64b\\U0001f3fd\|\\U0001f64b\\U0001f3fe\|\\U0001f64b\\U0001f3ff\|\\U0001f9cf\\U0001f3fb\|\\U0001f9cf\\U0001f3fc\|\\U0001f9cf\\U0001f3fd\|\\U0001f9cf\\U0001f3fe\|\\U0001f9cf\\U0001f3ff\|\\U0001f647\\U0001f3fb\|\\U0001f647\\U0001f3fc\|\\U0001f647\\U0001f3fd\|\\U0001f647\\U0001f3fe\|\\U0001f647\\U0001f3ff\|\\U0001f926\\U0001f3fb\|\\U0001f926\\U0001f3fc\|\\U0001f926\\U0001f3fd\|\\U0001f926\\U0001f3fe\|\\U0001f926\\U0001f3ff\|\\U0001f937\\U0001f3fb\|\\U0001f937\\U0001f3fc\|\\U0001f937\\U0001f3fd\|\\U0001f937\\U0001f3fe\|\\U0001f937\\U0001f3ff\|\\U0001f46e\\U0001f3fb\|\\U0001f46e\\U0001f3fc\|\\U0001f46e\\U0001f3fd\|\\U0001f46e\\U0001f3fe\|\\U0001f46e\\U0001f3ff\|\\U0001f575\\ufe0f\|\\U0001f575\\U0001f3fb\|\\U0001f575\\U0001f3fc\|\\U0001f575\\U0001f3fd\|\\U0001f575\\U0001f3fe\|\\U0001f575\\U0001f3ff\|\\U0001f482\\U0001f3fb\|\\U0001f482\\U0001f3fc\|\\U0001f482\\U0001f3fd\|\\U0001f482\\U0001f3fe\|\\U0001f482\\U0001f3ff\|\\U0001f477\\U0001f3fb\|\\U0001f477\\U0001f3fc\|\\U0001f477\\U0001f3fd\|\\U0001f477\\U0001f3fe\|\\U0001f477\\U0001f3ff\|\\U0001f934\\U0001f3fb\|\\U0001f934\\U0001f3fc\|\\U0001f934\\U0001f3fd\|\\U0001f934\\U0001f3fe\|\\U0001f934\\U0001f3ff\|\\U0001f478\\U0001f3fb\|\\U0001f478\\U0001f3fc\|\\U0001f478\\U0001f3fd\|\\U0001f478\\U0001f3fe\|\\U0001f478\\U0001f3ff\|\\U0001f473\\U0001f3fb\|\\U0001f473\\U0001f3fc\|\\U0001f473\\U0001f3fd\|\\U0001f473\\U0001f3fe\|\\U0001f473\\U0001f3ff\|\\U0001f472\\U0001f3fb\|\\U0001f472\\U0001f3fc\|\\U0001f472\\U0001f3fd\|\\U0001f472\\U0001f3fe\|\\U0001f472\\U0001f3ff\|\\U0001f9d5\\U0001f3fb\|\\U0001f9d5\\U0001f3fc\|\\U0001f9d5\\U0001f3fd\|\\U0001f9d5\\U0001f3fe\|\\U0001f9d5\\U0001f3ff\|\\U0001f935\\U0001f3fb\|\\U0001f935\\U0001f3fc\|\\U0001f935\\U0001f3fd\|\\U0001f935\\U0001f3fe\|\\U0001f935\\U0001f3ff\|\\U0001f470\\U0001f3fb\|\\U0001f470\\U0001f3fc\|\\U0001f470\\U0001f3fd\|\\U0001f470\\U0001f3fe\|\\U0001f470\\U0001f3ff\|\\U0001f930\\U0001f3fb\|\\U0001f930\\U0001f3fc\|\\U0001f930\\U0001f3fd\|\\U0001f930\\U0001f3fe\|\\U0001f930\\U0001f3ff\|\\U0001f931\\U0001f3fb\|\\U0001f931\\U0001f3fc\|\\U0001f931\\U0001f3fd\|\\U0001f931\\U0001f3fe\|\\U0001f931\\U0001f3ff\|\\U0001f47c\\U0001f3fb\|\\U0001f47c\\U0001f3fc\|\\U0001f47c\\U0001f3fd\|\\U0001f47c\\U0001f3fe\|\\U0001f47c\\U0001f3ff\|\\U0001f385\\U0001f3fb\|\\U0001f385\\U0001f3fc\|\\U0001f385\\U0001f3fd\|\\U0001f385\\U0001f3fe\|\\U0001f385\\U0001f3ff\|\\U0001f936\\U0001f3fb\|\\U0001f936\\U0001f3fc\|\\U0001f936\\U0001f3fd\|\\U0001f936\\U0001f3fe\|\\U0001f936\\U0001f3ff\|\\U0001f9b8\\U0001f3fb\|\\U0001f9b8\\U0001f3fc\|\\U0001f9b8\\U0001f3fd\|\\U0001f9b8\\U0001f3fe\|\\U0001f9b8\\U0001f3ff\|\\U0001f9b9\\U0001f3fb\|\\U0001f9b9\\U0001f3fc\|\\U0001f9b9\\U0001f3fd\|\\U0001f9b9\\U0001f3fe\|\\U0001f9b9\\U0001f3ff\|\\U0001f9d9\\U0001f3fb\|\\U0001f9d9\\U0001f3fc\|\\U0001f9d9\\U0001f3fd\|\\U0001f9d9\\U0001f3fe\|\\U0001f9d9\\U0001f3ff\|\\U0001f9da\\U0001f3fb\|\\U0001f9da\\U0001f3fc\|\\U0001f9da\\U0001f3fd\|\\U0001f9da\\U0001f3fe\|\\U0001f9da\\U0001f3ff\|\\U0001f9db\\U0001f3fb\|\\U0001f9db\\U0001f3fc\|\\U0001f9db\\U0001f3fd\|\\U0001f9db\\U0001f3fe\|\\U0001f9db\\U0001f3ff\|\\U0001f9dc\\U0001f3fb\|\\U0001f9dc\\U0001f3fc\|\\U0001f9dc\\U0001f3fd\|\\U0001f9dc\\U0001f3fe\|\\U0001f9dc\\U0001f3ff\|\\U0001f9dd\\U0001f3fb\|\\U0001f9dd\\U0001f3fc\|\\U0001f9dd\\U0001f3fd\|\\U0001f9dd\\U0001f3fe\|\\U0001f9dd\\U0001f3ff\|\\U0001f486\\U0001f3fb\|\\U0001f486\\U0001f3fc\|\\U0001f486\\U0001f3fd\|\\U0001f486\\U0001f3fe\|\\U0001f486\\U0001f3ff\|\\U0001f487\\U0001f3fb\|\\U0001f487\\U0001f3fc\|\\U0001f487\\U0001f3fd\|\\U0001f487\\U0001f3fe\|\\U0001f487\\U0001f3ff\|\\U0001f6b6\\U0001f3fb\|\\U0001f6b6\\U0001f3fc\|\\U0001f6b6\\U0001f3fd\|\\U0001f6b6\\U0001f3fe\|\\U0001f6b6\\U0001f3ff\|\\U0001f9cd\\U0001f3fb\|\\U0001f9cd\\U0001f3fc\|\\U0001f9cd\\U0001f3fd\|\\U0001f9cd\\U0001f3fe\|\\U0001f9cd\\U0001f3ff\|\\U0001f9ce\\U0001f3fb\|\\U0001f9ce\\U0001f3fc\|\\U0001f9ce\\U0001f3fd\|\\U0001f9ce\\U0001f3fe\|\\U0001f9ce\\U0001f3ff\|\\U0001f3c3\\U0001f3fb\|\\U0001f3c3\\U0001f3fc\|\\U0001f3c3\\U0001f3fd\|\\U0001f3c3\\U0001f3fe\|\\U0001f3c3\\U0001f3ff\|\\U0001f483\\U0001f3fb\|\\U0001f483\\U0001f3fc\|\\U0001f483\\U0001f3fd\|\\U0001f483\\U0001f3fe\|\\U0001f483\\U0001f3ff\|\\U0001f57a\\U0001f3fb\|\\U0001f57a\\U0001f3fc\|\\U0001f57a\\U0001f3fd\|\\U0001f57a\\U0001f3fe\|\\U0001f57a\\U0001f3ff\|\\U0001f574\\ufe0f\|\\U0001f574\\U0001f3fb\|\\U0001f574\\U0001f3fc\|\\U0001f574\\U0001f3fd\|\\U0001f574\\U0001f3fe\|\\U0001f574\\U0001f3ff\|\\U0001f9d6\\U0001f3fb\|\\U0001f9d6\\U0001f3fc\|\\U0001f9d6\\U0001f3fd\|\\U0001f9d6\\U0001f3fe\|\\U0001f9d6\\U0001f3ff\|\\U0001f9d7\\U0001f3fb\|\\U0001f9d7\\U0001f3fc\|\\U0001f9d7\\U0001f3fd\|\\U0001f9d7\\U0001f3fe\|\\U0001f9d7\\U0001f3ff\|\\U0001f3c7\\U0001f3fb\|\\U0001f3c7\\U0001f3fc\|\\U0001f3c7\\U0001f3fd\|\\U0001f3c7\\U0001f3fe\|\\U0001f3c7\\U0001f3ff\|\\u26f7\\ufe0f\|\\U0001f3c2\\U0001f3fb\|\\U0001f3c2\\U0001f3fc\|\\U0001f3c2\\U0001f3fd\|\\U0001f3c2\\U0001f3fe\|\\U0001f3c2\\U0001f3ff\|\\U0001f3cc\\ufe0f\|\\U0001f3cc\\U0001f3fb\|\\U0001f3cc\\U0001f3fc\|\\U0001f3cc\\U0001f3fd\|\\U0001f3cc\\U0001f3fe\|\\U0001f3cc\\U0001f3ff\|\\U0001f3c4\\U0001f3fb\|\\U0001f3c4\\U0001f3fc\|\\U0001f3c4\\U0001f3fd\|\\U0001f3c4\\U0001f3fe\|\\U0001f3c4\\U0001f3ff\|\\U0001f6a3\\U0001f3fb\|\\U0001f6a3\\U0001f3fc\|\\U0001f6a3\\U0001f3fd\|\\U0001f6a3\\U0001f3fe\|\\U0001f6a3\\U0001f3ff\|\\U0001f3ca\\U0001f3fb\|\\U0001f3ca\\U0001f3fc\|\\U0001f3ca\\U0001f3fd\|\\U0001f3ca\\U0001f3fe\|\\U0001f3ca\\U0001f3ff\|\\u26f9\\ufe0f\|\\u26f9\\U0001f3fb\|\\u26f9\\U0001f3fc\|\\u26f9\\U0001f3fd\|\\u26f9\\U0001f3fe\|\\u26f9\\U0001f3ff\|\\U0001f3cb\\ufe0f\|\\U0001f3cb\\U0001f3fb\|\\U0001f3cb\\U0001f3fc\|\\U0001f3cb\\U0001f3fd\|\\U0001f3cb\\U0001f3fe\|\\U0001f3cb\\U0001f3ff\|\\U0001f6b4\\U0001f3fb\|\\U0001f6b4\\U0001f3fc\|\\U0001f6b4\\U0001f3fd\|\\U0001f6b4\\U0001f3fe\|\\U0001f6b4\\U0001f3ff\|\\U0001f6b5\\U0001f3fb\|\\U0001f6b5\\U0001f3fc\|\\U0001f6b5\\U0001f3fd\|\\U0001f6b5\\U0001f3fe\|\\U0001f6b5\\U0001f3ff\|\\U0001f938\\U0001f3fb\|\\U0001f938\\U0001f3fc\|\\U0001f938\\U0001f3fd\|\\U0001f938\\U0001f3fe\|\\U0001f938\\U0001f3ff\|\\U0001f93d\\U0001f3fb\|\\U0001f93d\\U0001f3fc\|\\U0001f93d\\U0001f3fd\|\\U0001f93d\\U0001f3fe\|\\U0001f93d\\U0001f3ff\|\\U0001f93e\\U0001f3fb\|\\U0001f93e\\U0001f3fc\|\\U0001f93e\\U0001f3fd\|\\U0001f93e\\U0001f3fe\|\\U0001f93e\\U0001f3ff\|\\U0001f939\\U0001f3fb\|\\U0001f939\\U0001f3fc\|\\U0001f939\\U0001f3fd\|\\U0001f939\\U0001f3fe\|\\U0001f939\\U0001f3ff\|\\U0001f9d8\\U0001f3fb\|\\U0001f9d8\\U0001f3fc\|\\U0001f9d8\\U0001f3fd\|\\U0001f9d8\\U0001f3fe\|\\U0001f9d8\\U0001f3ff\|\\U0001f6c0\\U0001f3fb\|\\U0001f6c0\\U0001f3fc\|\\U0001f6c0\\U0001f3fd\|\\U0001f6c0\\U0001f3fe\|\\U0001f6c0\\U0001f3ff\|\\U0001f6cc\\U0001f3fb\|\\U0001f6cc\\U0001f3fc\|\\U0001f6cc\\U0001f3fd\|\\U0001f6cc\\U0001f3fe\|\\U0001f6cc\\U0001f3ff\|\\U0001f46d\\U0001f3fb\|\\U0001f46d\\U0001f3fc\|\\U0001f46d\\U0001f3fd\|\\U0001f46d\\U0001f3fe\|\\U0001f46d\\U0001f3ff\|\\U0001f46b\\U0001f3fb\|\\U0001f46b\\U0001f3fc\|\\U0001f46b\\U0001f3fd\|\\U0001f46b\\U0001f3fe\|\\U0001f46b\\U0001f3ff\|\\U0001f46c\\U0001f3fb\|\\U0001f46c\\U0001f3fc\|\\U0001f46c\\U0001f3fd\|\\U0001f46c\\U0001f3fe\|\\U0001f46c\\U0001f3ff\|\\U0001f5e3\\ufe0f\|\\U0001f43f\\ufe0f\|\\U0001f54a\\ufe0f\|\\U0001f577\\ufe0f\|\\U0001f578\\ufe0f\|\\U0001f3f5\\ufe0f\|\\u2618\\ufe0f\|\\U0001f336\\ufe0f\|\\U0001f37d\\ufe0f\|\\U0001f5fa\\ufe0f\|\\U0001f3d4\\ufe0f\|\\u26f0\\ufe0f\|\\U0001f3d5\\ufe0f\|\\U0001f3d6\\ufe0f\|\\U0001f3dc\\ufe0f\|\\U0001f3dd\\ufe0f\|\\U0001f3de\\ufe0f\|\\U0001f3df\\ufe0f\|\\U0001f3db\\ufe0f\|\\U0001f3d7\\ufe0f\|\\U0001f3d8\\ufe0f\|\\U0001f3da\\ufe0f\|\\u26e9\\ufe0f\|\\U0001f3d9\\ufe0f\|\\u2668\\ufe0f\|\\U0001f3ce\\ufe0f\|\\U0001f3cd\\ufe0f\|\\U0001f6e3\\ufe0f\|\\U0001f6e4\\ufe0f\|\\U0001f6e2\\ufe0f\|\\U0001f6f3\\ufe0f\|\\u26f4\\ufe0f\|\\U0001f6e5\\ufe0f\|\\u2708\\ufe0f\|\\U0001f6e9\\ufe0f\|\\U0001f6f0\\ufe0f\|\\U0001f6ce\\ufe0f\|\\u23f1\\ufe0f\|\\u23f2\\ufe0f\|\\U0001f570\\ufe0f\|\\U0001f321\\ufe0f\|\\u2600\\ufe0f\|\\u2601\\ufe0f\|\\u26c8\\ufe0f\|\\U0001f324\\ufe0f\|\\U0001f325\\ufe0f\|\\U0001f326\\ufe0f\|\\U0001f327\\ufe0f\|\\U0001f328\\ufe0f\|\\U0001f329\\ufe0f\|\\U0001f32a\\ufe0f\|\\U0001f32b\\ufe0f\|\\U0001f32c\\ufe0f\|\\u2602\\ufe0f\|\\u26f1\\ufe0f\|\\u2744\\ufe0f\|\\u2603\\ufe0f\|\\u2604\\ufe0f\|\\U0001f397\\ufe0f\|\\U0001f39f\\ufe0f\|\\U0001f396\\ufe0f\|\\u26f8\\ufe0f\|\\U0001f579\\ufe0f\|\\u2660\\ufe0f\|\\u2665\\ufe0f\|\\u2666\\ufe0f\|\\u2663\\ufe0f\|\\u265f\\ufe0f\|\\U0001f5bc\\ufe0f\|\\U0001f576\\ufe0f\|\\U0001f6cd\\ufe0f\|\\u26d1\\ufe0f\|\\U0001f399\\ufe0f\|\\U0001f39a\\ufe0f\|\\U0001f39b\\ufe0f\|\\u260e\\ufe0f\|\\U0001f5a5\\ufe0f\|\\U0001f5a8\\ufe0f\|\\u2328\\ufe0f\|\\U0001f5b1\\ufe0f\|\\U0001f5b2\\ufe0f\|\\U0001f39e\\ufe0f\|\\U0001f4fd\\ufe0f\|\\U0001f56f\\ufe0f\|\\U0001f5de\\ufe0f\|\\U0001f3f7\\ufe0f\|\\u2709\\ufe0f\|\\U0001f5f3\\ufe0f\|\\u270f\\ufe0f\|\\u2712\\ufe0f\|\\U0001f58b\\ufe0f\|\\U0001f58a\\ufe0f\|\\U0001f58c\\ufe0f\|\\U0001f58d\\ufe0f\|\\U0001f5c2\\ufe0f\|\\U0001f5d2\\ufe0f\|\\U0001f5d3\\ufe0f\|\\U0001f587\\ufe0f\|\\u2702\\ufe0f\|\\U0001f5c3\\ufe0f\|\\U0001f5c4\\ufe0f\|\\U0001f5d1\\ufe0f\|\\U0001f5dd\\ufe0f\|\\u26cf\\ufe0f\|\\u2692\\ufe0f\|\\U0001f6e0\\ufe0f\|\\U0001f5e1\\ufe0f\|\\u2694\\ufe0f\|\\U0001f6e1\\ufe0f\|\\u2699\\ufe0f\|\\U0001f5dc\\ufe0f\|\\u2696\\ufe0f\|\\u26d3\\ufe0f\|\\u2697\\ufe0f\|\\U0001f6cf\\ufe0f\|\\U0001f6cb\\ufe0f\|\\u26b0\\ufe0f\|\\u26b1\\ufe0f\|\\u26a0\\ufe0f\|\\u2622\\ufe0f\|\\u2623\\ufe0f\|\\u2b06\\ufe0f\|\\u2197\\ufe0f\|\\u27a1\\ufe0f\|\\u2198\\ufe0f\|\\u2b07\\ufe0f\|\\u2199\\ufe0f\|\\u2b05\\ufe0f\|\\u2196\\ufe0f\|\\u2195\\ufe0f\|\\u2194\\ufe0f\|\\u21a9\\ufe0f\|\\u21aa\\ufe0f\|\\u2934\\ufe0f\|\\u2935\\ufe0f\|\\u269b\\ufe0f\|\\U0001f549\\ufe0f\|\\u2721\\ufe0f\|\\u2638\\ufe0f\|\\u262f\\ufe0f\|\\u271d\\ufe0f\|\\u2626\\ufe0f\|\\u262a\\ufe0f\|\\u262e\\ufe0f\|\\u25b6\\ufe0f\|\\u23ed\\ufe0f\|\\u23ef\\ufe0f\|\\u25c0\\ufe0f\|\\u23ee\\ufe0f\|\\u23f8\\ufe0f\|\\u23f9\\ufe0f\|\\u23fa\\ufe0f\|\\u23cf\\ufe0f\|\\u2640\\ufe0f\|\\u2642\\ufe0f\|\\u2695\\ufe0f\|\\u267e\\ufe0f\|\\u267b\\ufe0f\|\\u269c\\ufe0f\|\\u2611\\ufe0f\|\\u2714\\ufe0f\|\\u2716\\ufe0f\|\\u303d\\ufe0f\|\\u2733\\ufe0f\|\\u2734\\ufe0f\|\\u2747\\ufe0f\|\\u203c\\ufe0f\|\\u2049\\ufe0f\|\\u3030\\ufe0f\|\\xa9\\ufe0f\|\\xae\\ufe0f\|\\u2122\\ufe0f\|\\\\#\\u20e3\|\\\\\\u20e3\|0\\u20e3\|1\\u20e3\|2\\u20e3\|3\\u20e3\|4\\u20e3\|5\\u20e3\|6\\u20e3\|7\\u20e3\|8\\u20e3\|9\\u20e3\|\\U0001f170\\ufe0f\|\\U0001f171\\ufe0f\|\\u2139\\ufe0f\|\\u24c2\\ufe0f\|\\U0001f17e\\ufe0f\|\\U0001f17f\\ufe0f\|\\U0001f202\\ufe0f\|\\U0001f237\\ufe0f\|\\u3297\\ufe0f\|\\u3299\\ufe0f\|\\u25fc\\ufe0f\|\\u25fb\\ufe0f\|\\u25aa\\ufe0f\|\\u25ab\\ufe0f\|\\U0001f3f3\\ufe0f\|\\U0001f1e6\\U0001f1e8\|\\U0001f1e6\\U0001f1e9\|\\U0001f1e6\\U0001f1ea\|\\U0001f1e6\\U0001f1eb\|\\U0001f1e6\\U0001f1ec\|\\U0001f1e6\\U0001f1ee\|\\U0001f1e6\\U0001f1f1\|\\U0001f1e6\\U0001f1f2\|\\U0001f1e6\\U0001f1f4\|\\U0001f1e6\\U0001f1f6\|\\U0001f1e6\\U0001f1f7\|\\U0001f1e6\\U0001f1f8\|\\U0001f1e6\\U0001f1f9\|\\U0001f1e6\\U0001f1fa\|\\U0001f1e6\\U0001f1fc\|\\U0001f1e6\\U0001f1fd\|\\U0001f1e6\\U0001f1ff\|\\U0001f1e7\\U0001f1e6\|\\U0001f1e7\\U0001f1e7\|\\U0001f1e7\\U0001f1e9\|\\U0001f1e7\\U0001f1ea\|\\U0001f1e7\\U0001f1eb\|\\U0001f1e7\\U0001f1ec\|\\U0001f1e7\\U0001f1ed\|\\U0001f1e7\\U0001f1ee\|\\U0001f1e7\\U0001f1ef\|\\U0001f1e7\\U0001f1f1\|\\U0001f1e7\\U0001f1f2\|\\U0001f1e7\\U0001f1f3\|\\U0001f1e7\\U0001f1f4\|\\U0001f1e7\\U0001f1f6\|\\U0001f1e7\\U0001f1f7\|\\U0001f1e7\\U0001f1f8\|\\U0001f1e7\\U0001f1f9\|\\U0001f1e7\\U0001f1fb\|\\U0001f1e7\\U0001f1fc\|\\U0001f1e7\\U0001f1fe\|\\U0001f1e7\\U0001f1ff\|\\U0001f1e8\\U0001f1e6\|\\U0001f1e8\\U0001f1e8\|\\U0001f1e8\\U0001f1e9\|\\U0001f1e8\\U0001f1eb\|\\U0001f1e8\\U0001f1ec\|\\U0001f1e8\\U0001f1ed\|\\U0001f1e8\\U0001f1ee\|\\U0001f1e8\\U0001f1f0\|\\U0001f1e8\\U0001f1f1\|\\U0001f1e8\\U0001f1f2\|\\U0001f1e8\\U0001f1f3\|\\U0001f1e8\\U0001f1f4\|\\U0001f1e8\\U0001f1f5\|\\U0001f1e8\\U0001f1f7\|\\U0001f1e8\\U0001f1fa\|\\U0001f1e8\\U0001f1fb\|\\U0001f1e8\\U0001f1fc\|\\U0001f1e8\\U0001f1fd\|\\U0001f1e8\\U0001f1fe\|\\U0001f1e8\\U0001f1ff\|\\U0001f1e9\\U0001f1ea\|\\U0001f1e9\\U0001f1ec\|\\U0001f1e9\\U0001f1ef\|\\U0001f1e9\\U0001f1f0\|\\U0001f1e9\\U0001f1f2\|\\U0001f1e9\\U0001f1f4\|\\U0001f1e9\\U0001f1ff\|\\U0001f1ea\\U0001f1e6\|\\U0001f1ea\\U0001f1e8\|\\U0001f1ea\\U0001f1ea\|\\U0001f1ea\\U0001f1ec\|\\U0001f1ea\\U0001f1ed\|\\U0001f1ea\\U0001f1f7\|\\U0001f1ea\\U0001f1f8\|\\U0001f1ea\\U0001f1f9\|\\U0001f1ea\\U0001f1fa\|\\U0001f1eb\\U0001f1ee\|\\U0001f1eb\\U0001f1ef\|\\U0001f1eb\\U0001f1f0\|\\U0001f1eb\\U0001f1f2\|\\U0001f1eb\\U0001f1f4\|\\U0001f1eb\\U0001f1f7\|\\U0001f1ec\\U0001f1e6\|\\U0001f1ec\\U0001f1e7\|\\U0001f1ec\\U0001f1e9\|\\U0001f1ec\\U0001f1ea\|\\U0001f1ec\\U0001f1eb\|\\U0001f1ec\\U0001f1ec\|\\U0001f1ec\\U0001f1ed\|\\U0001f1ec\\U0001f1ee\|\\U0001f1ec\\U0001f1f1\|\\U0001f1ec\\U0001f1f2\|\\U0001f1ec\\U0001f1f3\|\\U0001f1ec\\U0001f1f5\|\\U0001f1ec\\U0001f1f6\|\\U0001f1ec\\U0001f1f7\|\\U0001f1ec\\U0001f1f8\|\\U0001f1ec\\U0001f1f9\|\\U0001f1ec\\U0001f1fa\|\\U0001f1ec\\U0001f1fc\|\\U0001f1ec\\U0001f1fe\|\\U0001f1ed\\U0001f1f0\|\\U0001f1ed\\U0001f1f2\|\\U0001f1ed\\U0001f1f3\|\\U0001f1ed\\U0001f1f7\|\\U0001f1ed\\U0001f1f9\|\\U0001f1ed\\U0001f1fa\|\\U0001f1ee\\U0001f1e8\|\\U0001f1ee\\U0001f1e9\|\\U0001f1ee\\U0001f1ea\|\\U0001f1ee\\U0001f1f1\|\\U0001f1ee\\U0001f1f2\|\\U0001f1ee\\U0001f1f3\|\\U0001f1ee\\U0001f1f4\|\\U0001f1ee\\U0001f1f6\|\\U0001f1ee\\U0001f1f7\|\\U0001f1ee\\U0001f1f8\|\\U0001f1ee\\U0001f1f9\|\\U0001f1ef\\U0001f1ea\|\\U0001f1ef\\U0001f1f2\|\\U0001f1ef\\U0001f1f4\|\\U0001f1ef\\U0001f1f5\|\\U0001f1f0\\U0001f1ea\|\\U0001f1f0\\U0001f1ec\|\\U0001f1f0\\U0001f1ed\|\\U0001f1f0\\U0001f1ee\|\\U0001f1f0\\U0001f1f2\|\\U0001f1f0\\U0001f1f3\|\\U0001f1f0\\U0001f1f5\|\\U0001f1f0\\U0001f1f7\|\\U0001f1f0\\U0001f1fc\|\\U0001f1f0\\U0001f1fe\|\\U0001f1f0\\U0001f1ff\|\\U0001f1f1\\U0001f1e6\|\\U0001f1f1\\U0001f1e7\|\\U0001f1f1\\U0001f1e8\|\\U0001f1f1\\U0001f1ee\|\\U0001f1f1\\U0001f1f0\|\\U0001f1f1\\U0001f1f7\|\\U0001f1f1\\U0001f1f8\|\\U0001f1f1\\U0001f1f9\|\\U0001f1f1\\U0001f1fa\|\\U0001f1f1\\U0001f1fb\|\\U0001f1f1\\U0001f1fe\|\\U0001f1f2\\U0001f1e6\|\\U0001f1f2\\U0001f1e8\|\\U0001f1f2\\U0001f1e9\|\\U0001f1f2\\U0001f1ea\|\\U0001f1f2\\U0001f1eb\|\\U0001f1f2\\U0001f1ec\|\\U0001f1f2\\U0001f1ed\|\\U0001f1f2\\U0001f1f0\|\\U0001f1f2\\U0001f1f1\|\\U0001f1f2\\U0001f1f2\|\\U0001f1f2\\U0001f1f3\|\\U0001f1f2\\U0001f1f4\|\\U0001f1f2\\U0001f1f5\|\\U0001f1f2\\U0001f1f6\|\\U0001f1f2\\U0001f1f7\|\\U0001f1f2\\U0001f1f8\|\\U0001f1f2\\U0001f1f9\|\\U0001f1f2\\U0001f1fa\|\\U0001f1f2\\U0001f1fb\|\\U0001f1f2\\U0001f1fc\|\\U0001f1f2\\U0001f1fd\|\\U0001f1f2\\U0001f1fe\|\\U0001f1f2\\U0001f1ff\|\\U0001f1f3\\U0001f1e6\|\\U0001f1f3\\U0001f1e8\|\\U0001f1f3\\U0001f1ea\|\\U0001f1f3\\U0001f1eb\|\\U0001f1f3\\U0001f1ec\|\\U0001f1f3\\U0001f1ee\|\\U0001f1f3\\U0001f1f1\|\\U0001f1f3\\U0001f1f4\|\\U0001f1f3\\U0001f1f5\|\\U0001f1f3\\U0001f1f7\|\\U0001f1f3\\U0001f1fa\|\\U0001f1f3\\U0001f1ff\|\\U0001f1f4\\U0001f1f2\|\\U0001f1f5\\U0001f1e6\|\\U0001f1f5\\U0001f1ea\|\\U0001f1f5\\U0001f1eb\|\\U0001f1f5\\U0001f1ec\|\\U0001f1f5\\U0001f1ed\|\\U0001f1f5\\U0001f1f0\|\\U0001f1f5\\U0001f1f1\|\\U0001f1f5\\U0001f1f2\|\\U0001f1f5\\U0001f1f3\|\\U0001f1f5\\U0001f1f7\|\\U0001f1f5\\U0001f1f8\|\\U0001f1f5\\U0001f1f9\|\\U0001f1f5\\U0001f1fc\|\\U0001f1f5\\U0001f1fe\|\\U0001f1f6\\U0001f1e6\|\\U0001f1f7\\U0001f1ea\|\\U0001f1f7\\U0001f1f4\|\\U0001f1f7\\U0001f1f8\|\\U0001f1f7\\U0001f1fa\|\\U0001f1f7\\U0001f1fc\|\\U0001f1f8\\U0001f1e6\|\\U0001f1f8\\U0001f1e7\|\\U0001f1f8\\U0001f1e8\|\\U0001f1f8\\U0001f1e9\|\\U0001f1f8\\U0001f1ea\|\\U0001f1f8\\U0001f1ec\|\\U0001f1f8\\U0001f1ed\|\\U0001f1f8\\U0001f1ee\|\\U0001f1f8\\U0001f1ef\|\\U0001f1f8\\U0001f1f0\|\\U0001f1f8\\U0001f1f1\|\\U0001f1f8\\U0001f1f2\|\\U0001f1f8\\U0001f1f3\|\\U0001f1f8\\U0001f1f4\|\\U0001f1f8\\U0001f1f7\|\\U0001f1f8\\U0001f1f8\|\\U0001f1f8\\U0001f1f9\|\\U0001f1f8\\U0001f1fb\|\\U0001f1f8\\U0001f1fd\|\\U0001f1f8\\U0001f1fe\|\\U0001f1f8\\U0001f1ff\|\\U0001f1f9\\U0001f1e6\|\\U0001f1f9\\U0001f1e8\|\\U0001f1f9\\U0001f1e9\|\\U0001f1f9\\U0001f1eb\|\\U0001f1f9\\U0001f1ec\|\\U0001f1f9\\U0001f1ed\|\\U0001f1f9\\U0001f1ef\|\\U0001f1f9\\U0001f1f0\|\\U0001f1f9\\U0001f1f1\|\\U0001f1f9\\U0001f1f2\|\\U0001f1f9\\U0001f1f3\|\\U0001f1f9\\U0001f1f4\|\\U0001f1f9\\U0001f1f7\|\\U0001f1f9\\U0001f1f9\|\\U0001f1f9\\U0001f1fb\|\\U0001f1f9\\U0001f1fc\|\\U0001f1f9\\U0001f1ff\|\\U0001f1fa\\U0001f1e6\|\\U0001f1fa\\U0001f1ec\|\\U0001f1fa\\U0001f1f2\|\\U0001f1fa\\U0001f1f3\|\\U0001f1fa\\U0001f1f8\|\\U0001f1fa\\U0001f1fe\|\\U0001f1fa\\U0001f1ff\|\\U0001f1fb\\U0001f1e6\|\\U0001f1fb\\U0001f1e8\|\\U0001f1fb\\U0001f1ea\|\\U0001f1fb\\U0001f1ec\|\\U0001f1fb\\U0001f1ee\|\\U0001f1fb\\U0001f1f3\|\\U0001f1fb\\U0001f1fa\|\\U0001f1fc\\U0001f1eb\|\\U0001f1fc\\U0001f1f8\|\\U0001f1fd\\U0001f1f0\|\\U0001f1fe\\U0001f1ea\|\\U0001f1fe\\U0001f1f9\|\\U0001f1ff\\U0001f1e6\|\\U0001f1ff\\U0001f1f2\|\\U0001f1ff\\U0001f1fc\|\\U0001f600\|\\U0001f603\|\\U0001f604\|\\U0001f601\|\\U0001f606\|\\U0001f605\|\\U0001f923\|\\U0001f602\|\\U0001f642\|\\U0001f643\|\\U0001f609\|\\U0001f60a\|\\U0001f607\|\\U0001f970\|\\U0001f60d\|\\U0001f929\|\\U0001f618\|\\U0001f617\|\\u263a\|\\U0001f61a\|\\U0001f619\|\\U0001f60b\|\\U0001f61b\|\\U0001f61c\|\\U0001f92a\|\\U0001f61d\|\\U0001f911\|\\U0001f917\|\\U0001f92d\|\\U0001f92b\|\\U0001f914\|\\U0001f910\|\\U0001f928\|\\U0001f610\|\\U0001f611\|\\U0001f636\|\\U0001f60f\|\\U0001f612\|\\U0001f644\|\\U0001f62c\|\\U0001f925\|\\U0001f60c\|\\U0001f614\|\\U0001f62a\|\\U0001f924\|\\U0001f634\|\\U0001f637\|\\U0001f912\|\\U0001f915\|\\U0001f922\|\\U0001f92e\|\\U0001f927\|\\U0001f975\|\\U0001f976\|\\U0001f974\|\\U0001f635\|\\U0001f92f\|\\U0001f920\|\\U0001f973\|\\U0001f60e\|\\U0001f913\|\\U0001f9d0\|\\U0001f615\|\\U0001f61f\|\\U0001f641\|\\u2639\|\\U0001f62e\|\\U0001f62f\|\\U0001f632\|\\U0001f633\|\\U0001f97a\|\\U0001f626\|\\U0001f627\|\\U0001f628\|\\U0001f630\|\\U0001f625\|\\U0001f622\|\\U0001f62d\|\\U0001f631\|\\U0001f616\|\\U0001f623\|\\U0001f61e\|\\U0001f613\|\\U0001f629\|\\U0001f62b\|\\U0001f971\|\\U0001f624\|\\U0001f621\|\\U0001f620\|\\U0001f92c\|\\U0001f608\|\\U0001f47f\|\\U0001f480\|\\u2620\|\\U0001f4a9\|\\U0001f921\|\\U0001f479\|\\U0001f47a\|\\U0001f47b\|\\U0001f47d\|\\U0001f47e\|\\U0001f916\|\\U0001f63a\|\\U0001f638\|\\U0001f639\|\\U0001f63b\|\\U0001f63c\|\\U0001f63d\|\\U0001f640\|\\U0001f63f\|\\U0001f63e\|\\U0001f648\|\\U0001f649\|\\U0001f64a\|\\U0001f48b\|\\U0001f48c\|\\U0001f498\|\\U0001f49d\|\\U0001f496\|\\U0001f497\|\\U0001f493\|\\U0001f49e\|\\U0001f495\|\\U0001f49f\|\\u2763\|\\U0001f494\|\\u2764\|\\U0001f9e1\|\\U0001f49b\|\\U0001f49a\|\\U0001f499\|\\U0001f49c\|\\U0001f90e\|\\U0001f5a4\|\\U0001f90d\|\\U0001f4af\|\\U0001f4a2\|\\U0001f4a5\|\\U0001f4ab\|\\U0001f4a6\|\\U0001f4a8\|\\U0001f573\|\\U0001f4a3\|\\U0001f4ac\|\\U0001f5e8\|\\U0001f5ef\|\\U0001f4ad\|\\U0001f4a4\|\\U0001f44b\|\\U0001f91a\|\\U0001f590\|\\u270b\|\\U0001f596\|\\U0001f44c\|\\U0001f90f\|\\u270c\|\\U0001f91e\|\\U0001f91f\|\\U0001f918\|\\U0001f919\|\\U0001f448\|\\U0001f449\|\\U0001f446\|\\U0001f595\|\\U0001f447\|\\u261d\|\\U0001f44d\|\\U0001f44e\|\\u270a\|\\U0001f44a\|\\U0001f91b\|\\U0001f91c\|\\U0001f44f\|\\U0001f64c\|\\U0001f450\|\\U0001f932\|\\U0001f91d\|\\U0001f64f\|\\u270d\|\\U0001f485\|\\U0001f933\|\\U0001f4aa\|\\U0001f9be\|\\U0001f9bf\|\\U0001f9b5\|\\U0001f9b6\|\\U0001f442\|\\U0001f9bb\|\\U0001f443\|\\U0001f9e0\|\\U0001f9b7\|\\U0001f9b4\|\\U0001f440\|\\U0001f441\|\\U0001f445\|\\U0001f444\|\\U0001f476\|\\U0001f9d2\|\\U0001f466\|\\U0001f467\|\\U0001f9d1\|\\U0001f471\|\\U0001f468\|\\U0001f9d4\|\\U0001f469\|\\U0001f9d3\|\\U0001f474\|\\U0001f475\|\\U0001f64d\|\\U0001f64e\|\\U0001f645\|\\U0001f646\|\\U0001f481\|\\U0001f64b\|\\U0001f9cf\|\\U0001f647\|\\U0001f926\|\\U0001f937\|\\U0001f46e\|\\U0001f575\|\\U0001f482\|\\U0001f477\|\\U0001f934\|\\U0001f478\|\\U0001f473\|\\U0001f472\|\\U0001f9d5\|\\U0001f935\|\\U0001f470\|\\U0001f930\|\\U0001f931\|\\U0001f47c\|\\U0001f385\|\\U0001f936\|\\U0001f9b8\|\\U0001f9b9\|\\U0001f9d9\|\\U0001f9da\|\\U0001f9db\|\\U0001f9dc\|\\U0001f9dd\|\\U0001f9de\|\\U0001f9df\|\\U0001f486\|\\U0001f487\|\\U0001f6b6\|\\U0001f9cd\|\\U0001f9ce\|\\U0001f3c3\|\\U0001f483\|\\U0001f57a\|\\U0001f574\|\\U0001f46f\|\\U0001f9d6\|\\U0001f9d7\|\\U0001f93a\|\\U0001f3c7\|\\u26f7\|\\U0001f3c2\|\\U0001f3cc\|\\U0001f3c4\|\\U0001f6a3\|\\U0001f3ca\|\\u26f9\|\\U0001f3cb\|\\U0001f6b4\|\\U0001f6b5\|\\U0001f938\|\\U0001f93c\|\\U0001f93d\|\\U0001f93e\|\\U0001f939\|\\U0001f9d8\|\\U0001f6c0\|\\U0001f6cc\|\\U0001f46d\|\\U0001f46b\|\\U0001f46c\|\\U0001f48f\|\\U0001f491\|\\U0001f46a\|\\U0001f5e3\|\\U0001f464\|\\U0001f465\|\\U0001f463\|\\U0001f3fb\|\\U0001f3fc\|\\U0001f3fd\|\\U0001f3fe\|\\U0001f3ff\|\\U0001f9b0\|\\U0001f9b1\|\\U0001f9b3\|\\U0001f9b2\|\\U0001f435\|\\U0001f412\|\\U0001f98d\|\\U0001f9a7\|\\U0001f436\|\\U0001f415\|\\U0001f9ae\|\\U0001f429\|\\U0001f43a\|\\U0001f98a\|\\U0001f99d\|\\U0001f431\|\\U0001f408\|\\U0001f981\|\\U0001f42f\|\\U0001f405\|\\U0001f406\|\\U0001f434\|\\U0001f40e\|\\U0001f984\|\\U0001f993\|\\U0001f98c\|\\U0001f42e\|\\U0001f402\|\\U0001f403\|\\U0001f404\|\\U0001f437\|\\U0001f416\|\\U0001f417\|\\U0001f43d\|\\U0001f40f\|\\U0001f411\|\\U0001f410\|\\U0001f42a\|\\U0001f42b\|\\U0001f999\|\\U0001f992\|\\U0001f418\|\\U0001f98f\|\\U0001f99b\|\\U0001f42d\|\\U0001f401\|\\U0001f400\|\\U0001f439\|\\U0001f430\|\\U0001f407\|\\U0001f43f\|\\U0001f994\|\\U0001f987\|\\U0001f43b\|\\U0001f428\|\\U0001f43c\|\\U0001f9a5\|\\U0001f9a6\|\\U0001f9a8\|\\U0001f998\|\\U0001f9a1\|\\U0001f43e\|\\U0001f983\|\\U0001f414\|\\U0001f413\|\\U0001f423\|\\U0001f424\|\\U0001f425\|\\U0001f426\|\\U0001f427\|\\U0001f54a\|\\U0001f985\|\\U0001f986\|\\U0001f9a2\|\\U0001f989\|\\U0001f9a9\|\\U0001f99a\|\\U0001f99c\|\\U0001f438\|\\U0001f40a\|\\U0001f422\|\\U0001f98e\|\\U0001f40d\|\\U0001f432\|\\U0001f409\|\\U0001f995\|\\U0001f996\|\\U0001f433\|\\U0001f40b\|\\U0001f42c\|\\U0001f41f\|\\U0001f420\|\\U0001f421\|\\U0001f988\|\\U0001f419\|\\U0001f41a\|\\U0001f40c\|\\U0001f98b\|\\U0001f41b\|\\U0001f41c\|\\U0001f41d\|\\U0001f41e\|\\U0001f997\|\\U0001f577\|\\U0001f578\|\\U0001f982\|\\U0001f99f\|\\U0001f9a0\|\\U0001f490\|\\U0001f338\|\\U0001f4ae\|\\U0001f3f5\|\\U0001f339\|\\U0001f940\|\\U0001f33a\|\\U0001f33b\|\\U0001f33c\|\\U0001f337\|\\U0001f331\|\\U0001f332\|\\U0001f333\|\\U0001f334\|\\U0001f335\|\\U0001f33e\|\\U0001f33f\|\\u2618\|\\U0001f340\|\\U0001f341\|\\U0001f342\|\\U0001f343\|\\U0001f347\|\\U0001f348\|\\U0001f349\|\\U0001f34a\|\\U0001f34b\|\\U0001f34c\|\\U0001f34d\|\\U0001f96d\|\\U0001f34e\|\\U0001f34f\|\\U0001f350\|\\U0001f351\|\\U0001f352\|\\U0001f353\|\\U0001f95d\|\\U0001f345\|\\U0001f965\|\\U0001f951\|\\U0001f346\|\\U0001f954\|\\U0001f955\|\\U0001f33d\|\\U0001f336\|\\U0001f952\|\\U0001f96c\|\\U0001f966\|\\U0001f9c4\|\\U0001f9c5\|\\U0001f344\|\\U0001f95c\|\\U0001f330\|\\U0001f35e\|\\U0001f950\|\\U0001f956\|\\U0001f968\|\\U0001f96f\|\\U0001f95e\|\\U0001f9c7\|\\U0001f9c0\|\\U0001f356\|\\U0001f357\|\\U0001f969\|\\U0001f953\|\\U0001f354\|\\U0001f35f\|\\U0001f355\|\\U0001f32d\|\\U0001f96a\|\\U0001f32e\|\\U0001f32f\|\\U0001f959\|\\U0001f9c6\|\\U0001f95a\|\\U0001f373\|\\U0001f958\|\\U0001f372\|\\U0001f963\|\\U0001f957\|\\U0001f37f\|\\U0001f9c8\|\\U0001f9c2\|\\U0001f96b\|\\U0001f371\|\\U0001f358\|\\U0001f359\|\\U0001f35a\|\\U0001f35b\|\\U0001f35c\|\\U0001f35d\|\\U0001f360\|\\U0001f362\|\\U0001f363\|\\U0001f364\|\\U0001f365\|\\U0001f96e\|\\U0001f361\|\\U0001f95f\|\\U0001f960\|\\U0001f961\|\\U0001f980\|\\U0001f99e\|\\U0001f990\|\\U0001f991\|\\U0001f9aa\|\\U0001f366\|\\U0001f367\|\\U0001f368\|\\U0001f369\|\\U0001f36a\|\\U0001f382\|\\U0001f370\|\\U0001f9c1\|\\U0001f967\|\\U0001f36b\|\\U0001f36c\|\\U0001f36d\|\\U0001f36e\|\\U0001f36f\|\\U0001f37c\|\\U0001f95b\|\\u2615\|\\U0001f375\|\\U0001f376\|\\U0001f37e\|\\U0001f377\|\\U0001f378\|\\U0001f379\|\\U0001f37a\|\\U0001f37b\|\\U0001f942\|\\U0001f943\|\\U0001f964\|\\U0001f9c3\|\\U0001f9c9\|\\U0001f9ca\|\\U0001f962\|\\U0001f37d\|\\U0001f374\|\\U0001f944\|\\U0001f52a\|\\U0001f3fa\|\\U0001f30d\|\\U0001f30e\|\\U0001f30f\|\\U0001f310\|\\U0001f5fa\|\\U0001f5fe\|\\U0001f9ed\|\\U0001f3d4\|\\u26f0\|\\U0001f30b\|\\U0001f5fb\|\\U0001f3d5\|\\U0001f3d6\|\\U0001f3dc\|\\U0001f3dd\|\\U0001f3de\|\\U0001f3df\|\\U0001f3db\|\\U0001f3d7\|\\U0001f9f1\|\\U0001f3d8\|\\U0001f3da\|\\U0001f3e0\|\\U0001f3e1\|\\U0001f3e2\|\\U0001f3e3\|\\U0001f3e4\|\\U0001f3e5\|\\U0001f3e6\|\\U0001f3e8\|\\U0001f3e9\|\\U0001f3ea\|\\U0001f3eb\|\\U0001f3ec\|\\U0001f3ed\|\\U0001f3ef\|\\U0001f3f0\|\\U0001f492\|\\U0001f5fc\|\\U0001f5fd\|\\u26ea\|\\U0001f54c\|\\U0001f6d5\|\\U0001f54d\|\\u26e9\|\\U0001f54b\|\\u26f2\|\\u26fa\|\\U0001f301\|\\U0001f303\|\\U0001f3d9\|\\U0001f304\|\\U0001f305\|\\U0001f306\|\\U0001f307\|\\U0001f309\|\\u2668\|\\U0001f3a0\|\\U0001f3a1\|\\U0001f3a2\|\\U0001f488\|\\U0001f3aa\|\\U0001f682\|\\U0001f683\|\\U0001f684\|\\U0001f685\|\\U0001f686\|\\U0001f687\|\\U0001f688\|\\U0001f689\|\\U0001f68a\|\\U0001f69d\|\\U0001f69e\|\\U0001f68b\|\\U0001f68c\|\\U0001f68d\|\\U0001f68e\|\\U0001f690\|\\U0001f691\|\\U0001f692\|\\U0001f693\|\\U0001f694\|\\U0001f695\|\\U0001f696\|\\U0001f697\|\\U0001f698\|\\U0001f699\|\\U0001f69a\|\\U0001f69b\|\\U0001f69c\|\\U0001f3ce\|\\U0001f3cd\|\\U0001f6f5\|\\U0001f9bd\|\\U0001f9bc\|\\U0001f6fa\|\\U0001f6b2\|\\U0001f6f4\|\\U0001f6f9\|\\U0001f68f\|\\U0001f6e3\|\\U0001f6e4\|\\U0001f6e2\|\\u26fd\|\\U0001f6a8\|\\U0001f6a5\|\\U0001f6a6\|\\U0001f6d1\|\\U0001f6a7\|\\u2693\|\\u26f5\|\\U0001f6f6\|\\U0001f6a4\|\\U0001f6f3\|\\u26f4\|\\U0001f6e5\|\\U0001f6a2\|\\u2708\|\\U0001f6e9\|\\U0001f6eb\|\\U0001f6ec\|\\U0001fa82\|\\U0001f4ba\|\\U0001f681\|\\U0001f69f\|\\U0001f6a0\|\\U0001f6a1\|\\U0001f6f0\|\\U0001f680\|\\U0001f6f8\|\\U0001f6ce\|\\U0001f9f3\|\\u231b\|\\u23f3\|\\u231a\|\\u23f0\|\\u23f1\|\\u23f2\|\\U0001f570\|\\U0001f55b\|\\U0001f567\|\\U0001f550\|\\U0001f55c\|\\U0001f551\|\\U0001f55d\|\\U0001f552\|\\U0001f55e\|\\U0001f553\|\\U0001f55f\|\\U0001f554\|\\U0001f560\|\\U0001f555\|\\U0001f561\|\\U0001f556\|\\U0001f562\|\\U0001f557\|\\U0001f563\|\\U0001f558\|\\U0001f564\|\\U0001f559\|\\U0001f565\|\\U0001f55a\|\\U0001f566\|\\U0001f311\|\\U0001f312\|\\U0001f313\|\\U0001f314\|\\U0001f315\|\\U0001f316\|\\U0001f317\|\\U0001f318\|\\U0001f319\|\\U0001f31a\|\\U0001f31b\|\\U0001f31c\|\\U0001f321\|\\u2600\|\\U0001f31d\|\\U0001f31e\|\\U0001fa90\|\\u2b50\|\\U0001f31f\|\\U0001f320\|\\U0001f30c\|\\u2601\|\\u26c5\|\\u26c8\|\\U0001f324\|\\U0001f325\|\\U0001f326\|\\U0001f327\|\\U0001f328\|\\U0001f329\|\\U0001f32a\|\\U0001f32b\|\\U0001f32c\|\\U0001f300\|\\U0001f308\|\\U0001f302\|\\u2602\|\\u2614\|\\u26f1\|\\u26a1\|\\u2744\|\\u2603\|\\u26c4\|\\u2604\|\\U0001f525\|\\U0001f4a7\|\\U0001f30a\|\\U0001f383\|\\U0001f384\|\\U0001f386\|\\U0001f387\|\\U0001f9e8\|\\u2728\|\\U0001f388\|\\U0001f389\|\\U0001f38a\|\\U0001f38b\|\\U0001f38d\|\\U0001f38e\|\\U0001f38f\|\\U0001f390\|\\U0001f391\|\\U0001f9e7\|\\U0001f380\|\\U0001f381\|\\U0001f397\|\\U0001f39f\|\\U0001f3ab\|\\U0001f396\|\\U0001f3c6\|\\U0001f3c5\|\\U0001f947\|\\U0001f948\|\\U0001f949\|\\u26bd\|\\u26be\|\\U0001f94e\|\\U0001f3c0\|\\U0001f3d0\|\\U0001f3c8\|\\U0001f3c9\|\\U0001f3be\|\\U0001f94f\|\\U0001f3b3\|\\U0001f3cf\|\\U0001f3d1\|\\U0001f3d2\|\\U0001f94d\|\\U0001f3d3\|\\U0001f3f8\|\\U0001f94a\|\\U0001f94b\|\\U0001f945\|\\u26f3\|\\u26f8\|\\U0001f3a3\|\\U0001f93f\|\\U0001f3bd\|\\U0001f3bf\|\\U0001f6f7\|\\U0001f94c\|\\U0001f3af\|\\U0001fa80\|\\U0001fa81\|\\U0001f3b1\|\\U0001f52e\|\\U0001f9ff\|\\U0001f3ae\|\\U0001f579\|\\U0001f3b0\|\\U0001f3b2\|\\U0001f9e9\|\\U0001f9f8\|\\u2660\|\\u2665\|\\u2666\|\\u2663\|\\u265f\|\\U0001f0cf\|\\U0001f004\|\\U0001f3b4\|\\U0001f3ad\|\\U0001f5bc\|\\U0001f3a8\|\\U0001f9f5\|\\U0001f9f6\|\\U0001f453\|\\U0001f576\|\\U0001f97d\|\\U0001f97c\|\\U0001f9ba\|\\U0001f454\|\\U0001f455\|\\U0001f456\|\\U0001f9e3\|\\U0001f9e4\|\\U0001f9e5\|\\U0001f9e6\|\\U0001f457\|\\U0001f458\|\\U0001f97b\|\\U0001fa71\|\\U0001fa72\|\\U0001fa73\|\\U0001f459\|\\U0001f45a\|\\U0001f45b\|\\U0001f45c\|\\U0001f45d\|\\U0001f6cd\|\\U0001f392\|\\U0001f45e\|\\U0001f45f\|\\U0001f97e\|\\U0001f97f\|\\U0001f460\|\\U0001f461\|\\U0001fa70\|\\U0001f462\|\\U0001f451\|\\U0001f452\|\\U0001f3a9\|\\U0001f393\|\\U0001f9e2\|\\u26d1\|\\U0001f4ff\|\\U0001f484\|\\U0001f48d\|\\U0001f48e\|\\U0001f507\|\\U0001f508\|\\U0001f509\|\\U0001f50a\|\\U0001f4e2\|\\U0001f4e3\|\\U0001f4ef\|\\U0001f514\|\\U0001f515\|\\U0001f3bc\|\\U0001f3b5\|\\U0001f3b6\|\\U0001f399\|\\U0001f39a\|\\U0001f39b\|\\U0001f3a4\|\\U0001f3a7\|\\U0001f4fb\|\\U0001f3b7\|\\U0001f3b8\|\\U0001f3b9\|\\U0001f3ba\|\\U0001f3bb\|\\U0001fa95\|\\U0001f941\|\\U0001f4f1\|\\U0001f4f2\|\\u260e\|\\U0001f4de\|\\U0001f4df\|\\U0001f4e0\|\\U0001f50b\|\\U0001f50c\|\\U0001f4bb\|\\U0001f5a5\|\\U0001f5a8\|\\u2328\|\\U0001f5b1\|\\U0001f5b2\|\\U0001f4bd\|\\U0001f4be\|\\U0001f4bf\|\\U0001f4c0\|\\U0001f9ee\|\\U0001f3a5\|\\U0001f39e\|\\U0001f4fd\|\\U0001f3ac\|\\U0001f4fa\|\\U0001f4f7\|\\U0001f4f8\|\\U0001f4f9\|\\U0001f4fc\|\\U0001f50d\|\\U0001f50e\|\\U0001f56f\|\\U0001f4a1\|\\U0001f526\|\\U0001f3ee\|\\U0001fa94\|\\U0001f4d4\|\\U0001f4d5\|\\U0001f4d6\|\\U0001f4d7\|\\U0001f4d8\|\\U0001f4d9\|\\U0001f4da\|\\U0001f4d3\|\\U0001f4d2\|\\U0001f4c3\|\\U0001f4dc\|\\U0001f4c4\|\\U0001f4f0\|\\U0001f5de\|\\U0001f4d1\|\\U0001f516\|\\U0001f3f7\|\\U0001f4b0\|\\U0001f4b4\|\\U0001f4b5\|\\U0001f4b6\|\\U0001f4b7\|\\U0001f4b8\|\\U0001f4b3\|\\U0001f9fe\|\\U0001f4b9\|\\U0001f4b1\|\\U0001f4b2\|\\u2709\|\\U0001f4e7\|\\U0001f4e8\|\\U0001f4e9\|\\U0001f4e4\|\\U0001f4e5\|\\U0001f4e6\|\\U0001f4eb\|\\U0001f4ea\|\\U0001f4ec\|\\U0001f4ed\|\\U0001f4ee\|\\U0001f5f3\|\\u270f\|\\u2712\|\\U0001f58b\|\\U0001f58a\|\\U0001f58c\|\\U0001f58d\|\\U0001f4dd\|\\U0001f4bc\|\\U0001f4c1\|\\U0001f4c2\|\\U0001f5c2\|\\U0001f4c5\|\\U0001f4c6\|\\U0001f5d2\|\\U0001f5d3\|\\U0001f4c7\|\\U0001f4c8\|\\U0001f4c9\|\\U0001f4ca\|\\U0001f4cb\|\\U0001f4cc\|\\U0001f4cd\|\\U0001f4ce\|\\U0001f587\|\\U0001f4cf\|\\U0001f4d0\|\\u2702\|\\U0001f5c3\|\\U0001f5c4\|\\U0001f5d1\|\\U0001f512\|\\U0001f513\|\\U0001f50f\|\\U0001f510\|\\U0001f511\|\\U0001f5dd\|\\U0001f528\|\\U0001fa93\|\\u26cf\|\\u2692\|\\U0001f6e0\|\\U0001f5e1\|\\u2694\|\\U0001f52b\|\\U0001f3f9\|\\U0001f6e1\|\\U0001f527\|\\U0001f529\|\\u2699\|\\U0001f5dc\|\\u2696\|\\U0001f9af\|\\U0001f517\|\\u26d3\|\\U0001f9f0\|\\U0001f9f2\|\\u2697\|\\U0001f9ea\|\\U0001f9eb\|\\U0001f9ec\|\\U0001f52c\|\\U0001f52d\|\\U0001f4e1\|\\U0001f489\|\\U0001fa78\|\\U0001f48a\|\\U0001fa79\|\\U0001fa7a\|\\U0001f6aa\|\\U0001f6cf\|\\U0001f6cb\|\\U0001fa91\|\\U0001f6bd\|\\U0001f6bf\|\\U0001f6c1\|\\U0001fa92\|\\U0001f9f4\|\\U0001f9f7\|\\U0001f9f9\|\\U0001f9fa\|\\U0001f9fb\|\\U0001f9fc\|\\U0001f9fd\|\\U0001f9ef\|\\U0001f6d2\|\\U0001f6ac\|\\u26b0\|\\u26b1\|\\U0001f5ff\|\\U0001f3e7\|\\U0001f6ae\|\\U0001f6b0\|\\u267f\|\\U0001f6b9\|\\U0001f6ba\|\\U0001f6bb\|\\U0001f6bc\|\\U0001f6be\|\\U0001f6c2\|\\U0001f6c3\|\\U0001f6c4\|\\U0001f6c5\|\\u26a0\|\\U0001f6b8\|\\u26d4\|\\U0001f6ab\|\\U0001f6b3\|\\U0001f6ad\|\\U0001f6af\|\\U0001f6b1\|\\U0001f6b7\|\\U0001f4f5\|\\U0001f51e\|\\u2622\|\\u2623\|\\u2b06\|\\u2197\|\\u27a1\|\\u2198\|\\u2b07\|\\u2199\|\\u2b05\|\\u2196\|\\u2195\|\\u2194\|\\u21a9\|\\u21aa\|\\u2934\|\\u2935\|\\U0001f503\|\\U0001f504\|\\U0001f519\|\\U0001f51a\|\\U0001f51b\|\\U0001f51c\|\\U0001f51d\|\\U0001f6d0\|\\u269b\|\\U0001f549\|\\u2721\|\\u2638\|\\u262f\|\\u271d\|\\u2626\|\\u262a\|\\u262e\|\\U0001f54e\|\\U0001f52f\|\\u2648\|\\u2649\|\\u264a\|\\u264b\|\\u264c\|\\u264d\|\\u264e\|\\u264f\|\\u2650\|\\u2651\|\\u2652\|\\u2653\|\\u26ce\|\\U0001f500\|\\U0001f501\|\\U0001f502\|\\u25b6\|\\u23e9\|\\u23ed\|\\u23ef\|\\u25c0\|\\u23ea\|\\u23ee\|\\U0001f53c\|\\u23eb\|\\U0001f53d\|\\u23ec\|\\u23f8\|\\u23f9\|\\u23fa\|\\u23cf\|\\U0001f3a6\|\\U0001f505\|\\U0001f506\|\\U0001f4f6\|\\U0001f4f3\|\\U0001f4f4\|\\u2640\|\\u2642\|\\u2695\|\\u267e\|\\u267b\|\\u269c\|\\U0001f531\|\\U0001f4db\|\\U0001f530\|\\u2b55\|\\u2705\|\\u2611\|\\u2714\|\\u2716\|\\u274c\|\\u274e\|\\u2795\|\\u2796\|\\u2797\|\\u27b0\|\\u27bf\|\\u303d\|\\u2733\|\\u2734\|\\u2747\|\\u203c\|\\u2049\|\\u2753\|\\u2754\|\\u2755\|\\u2757\|\\u3030\|\\xa9\|\\xae\|\\u2122\|\\U0001f51f\|\\U0001f520\|\\U0001f521\|\\U0001f522\|\\U0001f523\|\\U0001f524\|\\U0001f170\|\\U0001f18e\|\\U0001f171\|\\U0001f191\|\\U0001f192\|\\U0001f193\|\\u2139\|\\U0001f194\|\\u24c2\|\\U0001f195\|\\U0001f196\|\\U0001f17e\|\\U0001f197\|\\U0001f17f\|\\U0001f198\|\\U0001f199\|\\U0001f19a\|\\U0001f201\|\\U0001f202\|\\U0001f237\|\\U0001f236\|\\U0001f22f\|\\U0001f250\|\\U0001f239\|\\U0001f21a\|\\U0001f232\|\\U0001f251\|\\U0001f238\|\\U0001f234\|\\U0001f233\|\\u3297\|\\u3299\|\\U0001f23a\|\\U0001f235\|\\U0001f534\|\\U0001f7e0\|\\U0001f7e1\|\\U0001f7e2\|\\U0001f535\|\\U0001f7e3\|\\U0001f7e4\|\\u26ab\|\\u26aa\|\\U0001f7e5\|\\U0001f7e7\|\\U0001f7e8\|\\U0001f7e9\|\\U0001f7e6\|\\U0001f7ea\|\\U0001f7eb\|\\u2b1b\|\\u2b1c\|\\u25fc\|\\u25fb\|\\u25fe\|\\u25fd\|\\u25aa\|\\u25ab\|\\U0001f536\|\\U0001f537\|\\U0001f538\|\\U0001f539\|\\U0001f53a\|\\U0001f53b\|\\U0001f4a0\|\\U0001f518\|\\U0001f533\|\\U0001f532\|\\U0001f3c1\|\\U0001f6a9\|\\U0001f38c\|\\U0001f3f4\|\\U0001f3f3')) -> str: "Return the string obtained by replacing all emojis in 'text' by the replacement 'repl'.\n Args:\n text (str): text to be replaced\n repl (str): replace all emojis in text with 'repl'\n Reference:\n akkez/emoji.py: Python emoji regexp / python emoji detection\n https://gist.github.com/akkez/99ceeae2f13c9d8d9be7df0279e2c438\n " text = regex.sub(repl, text) return text
def _email_normalize(self, text: str, repl: str, regex=re.compile("[a-zA-Z0-9.!#$%&\\'*+/=?^_`{\|}~-]+@[a-zA-Z0-9-]+\\.[a-zA-Z0-9.]+")) -> str: "Return the string obtained by replacing all email addresses in 'text' by the replacement 'repl'.\n Args:\n text (str): text to be replaced\n repl (str): replace all email addresses in text with 'repl'\n " text = regex.sub(repl, text) return text	-7,109,481,101,408,435,000	Return the string obtained by replacing all email addresses in 'text' by the replacement 'repl'. Args: text (str): text to be replaced repl (str): replace all email addresses in text with 'repl'	prenlp/data/normalizer.py	_email_normalize	awesome-archive/prenlp	python	def _email_normalize(self, text: str, repl: str, regex=re.compile("[a-zA-Z0-9.!#$%&\\'*+/=?^_`{\|}~-]+@[a-zA-Z0-9-]+\\.[a-zA-Z0-9.]+")) -> str: "Return the string obtained by replacing all email addresses in 'text' by the replacement 'repl'.\n Args:\n text (str): text to be replaced\n repl (str): replace all email addresses in text with 'repl'\n " text = regex.sub(repl, text) return text
def _tel_normalize(self, text: str, repl: str, regex=re.compile('[()+\\d.\\-]*[ ]?\\d{2,4}[-. ]+\\d{3,4}[-. ]+\\d{3,4}')) -> str: "Return the string obtained by replacing all phone numbers in 'text' by the replacement 'repl'.\n Args:\n text (str): text to be replaced\n repl (str): replace all phone numbers in text with 'repl'\n " text = regex.sub(repl, text) return text	5,178,421,445,740,574,000	Return the string obtained by replacing all phone numbers in 'text' by the replacement 'repl'. Args: text (str): text to be replaced repl (str): replace all phone numbers in text with 'repl'	prenlp/data/normalizer.py	_tel_normalize	awesome-archive/prenlp	python	def _tel_normalize(self, text: str, repl: str, regex=re.compile('[()+\\d.\\-]*[ ]?\\d{2,4}[-. ]+\\d{3,4}[-. ]+\\d{3,4}')) -> str: "Return the string obtained by replacing all phone numbers in 'text' by the replacement 'repl'.\n Args:\n text (str): text to be replaced\n repl (str): replace all phone numbers in text with 'repl'\n " text = regex.sub(repl, text) return text
def train_step(, flax_model: nn.Module, train_state: train_utils.TrainState, batch: bert_base_model.Batch, learning_rate_fn: Callable[([int], float)], loss_fn: bert_base_model.LossFn, metrics_fn: bert_base_model.MetricFn, config: ml_collections.ConfigDict, debug: Optional[bool]=False) -> Tuple[(train_utils.TrainState, Dict[(str, Tuple[(float, int)])], float)]: 'Runs a single step of training.\n\n Given the state of the training and a batch of data, computes\n the loss and updates the parameters of the model.\n\n Note that in this code, the buffers of the first (train_state) and second\n (batch) arguments are donated to the computation.\n\n Args:\n flax_model: A Flax model.\n train_state: The state of training including the current global_step,\n model_state, rng, and optimizer. The buffer of this argument can be\n donated to the computation.\n batch: A single batch of data. The buffer of this argument can be donated to\n the computation.\n learning_rate_fn: Learning rate scheduler which given the global_step\n generates the learning rate.\n loss_fn: A loss function that given logits, a batch, and parameters of the\n model calculates the loss.\n metrics_fn: A metrics function that given logits and batch of data,\n calculates the metrics as well as the loss.\n config: Configurations of the experiment.\n debug: Whether the debug mode is enabled during training. `debug=True`\n enables model specific logging/storing some values using\n jax.host_callback.\n\n Returns:\n Updated state of training, computed metrics, and learning rate for logging.\n ' (new_rng, rng) = jax.random.split(train_state.rng) dropout_rng = train_utils.bind_rng_to_host_device(rng, axis_name='batch', bind_to='device') def training_loss_fn(params): variables = {'params': params, *train_state.model_state} (output, new_model_state) = flax_model.apply(variables, batch, mutable=['batch_stats'], train=True, rngs={'dropout': dropout_rng}, debug=debug) loss = loss_fn(output, batch, variables['params']) return (loss, (new_model_state, output)) compute_gradient_fn = jax.value_and_grad(training_loss_fn, has_aux=True) step = train_state.global_step lr = learning_rate_fn(step) ((train_cost, (new_model_state, output)), grad) = compute_gradient_fn(train_state.optimizer.target) del train_cost if (config.get('max_grad_norm', None) is not None): grad = jax_optimizers.clip_grads(grad, config.max_grad_norm) grad = jax.lax.pmean(grad, axis_name='batch') new_optimizer = train_state.optimizer.apply_gradient(grad, learning_rate=lr) if (config.get('explicit_weight_decay', None) is not None): new_optimizer = new_optimizer.replace(target=optimizers.tree_map_with_names(functools.partial(optimizers.decay_weight_fn, lr=lr, decay=config.explicit_weight_decay), new_optimizer.target, match_name_fn=(lambda name: ('kernel' in name)))) metrics = metrics_fn(output, batch) new_train_state = train_state.replace(global_step=(step + 1), optimizer=new_optimizer, model_state=new_model_state, rng=new_rng) return (new_train_state, metrics, lr)	-8,175,806,276,474,680,000	Runs a single step of training. Given the state of the training and a batch of data, computes the loss and updates the parameters of the model. Note that in this code, the buffers of the first (train_state) and second (batch) arguments are donated to the computation. Args: flax_model: A Flax model. train_state: The state of training including the current global_step, model_state, rng, and optimizer. The buffer of this argument can be donated to the computation. batch: A single batch of data. The buffer of this argument can be donated to the computation. learning_rate_fn: Learning rate scheduler which given the global_step generates the learning rate. loss_fn: A loss function that given logits, a batch, and parameters of the model calculates the loss. metrics_fn: A metrics function that given logits and batch of data, calculates the metrics as well as the loss. config: Configurations of the experiment. debug: Whether the debug mode is enabled during training. `debug=True` enables model specific logging/storing some values using jax.host_callback. Returns: Updated state of training, computed metrics, and learning rate for logging.	scenic/projects/baselines/bert/trainer.py	train_step	YYCOCO/scenic	python	def train_step(, flax_model: nn.Module, train_state: train_utils.TrainState, batch: bert_base_model.Batch, learning_rate_fn: Callable[([int], float)], loss_fn: bert_base_model.LossFn, metrics_fn: bert_base_model.MetricFn, config: ml_collections.ConfigDict, debug: Optional[bool]=False) -> Tuple[(train_utils.TrainState, Dict[(str, Tuple[(float, int)])], float)]: 'Runs a single step of training.\n\n Given the state of the training and a batch of data, computes\n the loss and updates the parameters of the model.\n\n Note that in this code, the buffers of the first (train_state) and second\n (batch) arguments are donated to the computation.\n\n Args:\n flax_model: A Flax model.\n train_state: The state of training including the current global_step,\n model_state, rng, and optimizer. The buffer of this argument can be\n donated to the computation.\n batch: A single batch of data. The buffer of this argument can be donated to\n the computation.\n learning_rate_fn: Learning rate scheduler which given the global_step\n generates the learning rate.\n loss_fn: A loss function that given logits, a batch, and parameters of the\n model calculates the loss.\n metrics_fn: A metrics function that given logits and batch of data,\n calculates the metrics as well as the loss.\n config: Configurations of the experiment.\n debug: Whether the debug mode is enabled during training. `debug=True`\n enables model specific logging/storing some values using\n jax.host_callback.\n\n Returns:\n Updated state of training, computed metrics, and learning rate for logging.\n ' (new_rng, rng) = jax.random.split(train_state.rng) dropout_rng = train_utils.bind_rng_to_host_device(rng, axis_name='batch', bind_to='device') def training_loss_fn(params): variables = {'params': params, *train_state.model_state} (output, new_model_state) = flax_model.apply(variables, batch, mutable=['batch_stats'], train=True, rngs={'dropout': dropout_rng}, debug=debug) loss = loss_fn(output, batch, variables['params']) return (loss, (new_model_state, output)) compute_gradient_fn = jax.value_and_grad(training_loss_fn, has_aux=True) step = train_state.global_step lr = learning_rate_fn(step) ((train_cost, (new_model_state, output)), grad) = compute_gradient_fn(train_state.optimizer.target) del train_cost if (config.get('max_grad_norm', None) is not None): grad = jax_optimizers.clip_grads(grad, config.max_grad_norm) grad = jax.lax.pmean(grad, axis_name='batch') new_optimizer = train_state.optimizer.apply_gradient(grad, learning_rate=lr) if (config.get('explicit_weight_decay', None) is not None): new_optimizer = new_optimizer.replace(target=optimizers.tree_map_with_names(functools.partial(optimizers.decay_weight_fn, lr=lr, decay=config.explicit_weight_decay), new_optimizer.target, match_name_fn=(lambda name: ('kernel' in name)))) metrics = metrics_fn(output, batch) new_train_state = train_state.replace(global_step=(step + 1), optimizer=new_optimizer, model_state=new_model_state, rng=new_rng) return (new_train_state, metrics, lr)
def eval_step(, flax_model: nn.Module, train_state: train_utils.TrainState, batch: bert_base_model.Batch, metrics_fn: bert_base_model.MetricFn, all_gather: bool=False, debug: Optional[bool]=False) -> Tuple[(Dict[(str, Tuple[(float, int)])], Optional[jnp.ndarray], Optional[jnp.ndarray])]: 'Runs a single step of training.\n\n Note that in this code, the buffer of the second argument (batch) is donated\n to the computation.\n\n Assumed API of metrics_fn is:\n ```metrics = metrics_fn(logits, batch)\n where batch is yielded by the batch iterator, and metrics is a dictionary\n mapping metric name to a vector of per example measurements. eval_step will\n aggregate (by summing) all per example measurements and divide by the\n aggregated normalizers. For each given metric we compute:\n 1/N sum_{b in batch_iter} metric(b), where N is the sum of normalizer\n over all batches.\n\n Args:\n flax_model: A Flax model.\n train_state: TrainState, the state of training including the current\n global_step, model_state, rng, and optimizer. The buffer of this argument\n can be donated to the computation.\n batch: A single batch of data. a metrics function, that given logits and\n batch of data, calculates the metrics as well as the loss.\n metrics_fn: A metrics function, that given logits and batch of data,\n calculates the metrics as well as the loss.\n all_gather: If True, the function gather batch and output of\n model in from all hosts, using `jax.lax.all_gather` and return it, e.g.,\n for computing global metrics on CPU.\n debug: Whether the debug mode is enabled during evaluation. `debug=True`\n enables model specific logging/storing some values using\n jax.host_callback.\n\n Returns:\n Calculated metrics and optionally output, and batch after all_gather.\n ' variables = {'params': train_state.optimizer.target, *train_state.model_state} output = flax_model.apply(variables, batch, train=False, mutable=False, debug=debug) metrics = metrics_fn(output, batch) if all_gather: output = jax.lax.all_gather(output, 'batch') batch = jax.lax.all_gather(batch, 'batch') return (metrics, output, batch) else: return (metrics, None, None)	7,768,984,873,474,436,000	Runs a single step of training. Note that in this code, the buffer of the second argument (batch) is donated to the computation. Assumed API of metrics_fn is: ```metrics = metrics_fn(logits, batch) where batch is yielded by the batch iterator, and metrics is a dictionary mapping metric name to a vector of per example measurements. eval_step will aggregate (by summing) all per example measurements and divide by the aggregated normalizers. For each given metric we compute: 1/N sum_{b in batch_iter} metric(b), where N is the sum of normalizer over all batches. Args: flax_model: A Flax model. train_state: TrainState, the state of training including the current global_step, model_state, rng, and optimizer. The buffer of this argument can be donated to the computation. batch: A single batch of data. a metrics function, that given logits and batch of data, calculates the metrics as well as the loss. metrics_fn: A metrics function, that given logits and batch of data, calculates the metrics as well as the loss. all_gather: If True, the function gather batch and output of model in from all hosts, using `jax.lax.all_gather` and return it, e.g., for computing global metrics on CPU. debug: Whether the debug mode is enabled during evaluation. `debug=True` enables model specific logging/storing some values using jax.host_callback. Returns: Calculated metrics and optionally output, and batch after all_gather.	scenic/projects/baselines/bert/trainer.py	eval_step	YYCOCO/scenic	python	def eval_step(, flax_model: nn.Module, train_state: train_utils.TrainState, batch: bert_base_model.Batch, metrics_fn: bert_base_model.MetricFn, all_gather: bool=False, debug: Optional[bool]=False) -> Tuple[(Dict[(str, Tuple[(float, int)])], Optional[jnp.ndarray], Optional[jnp.ndarray])]: 'Runs a single step of training.\n\n Note that in this code, the buffer of the second argument (batch) is donated\n to the computation.\n\n Assumed API of metrics_fn is:\n ```metrics = metrics_fn(logits, batch)\n where batch is yielded by the batch iterator, and metrics is a dictionary\n mapping metric name to a vector of per example measurements. eval_step will\n aggregate (by summing) all per example measurements and divide by the\n aggregated normalizers. For each given metric we compute:\n 1/N sum_{b in batch_iter} metric(b), where N is the sum of normalizer\n over all batches.\n\n Args:\n flax_model: A Flax model.\n train_state: TrainState, the state of training including the current\n global_step, model_state, rng, and optimizer. The buffer of this argument\n can be donated to the computation.\n batch: A single batch of data. a metrics function, that given logits and\n batch of data, calculates the metrics as well as the loss.\n metrics_fn: A metrics function, that given logits and batch of data,\n calculates the metrics as well as the loss.\n all_gather: If True, the function gather batch and output of\n model in from all hosts, using `jax.lax.all_gather` and return it, e.g.,\n for computing global metrics on CPU.\n debug: Whether the debug mode is enabled during evaluation. `debug=True`\n enables model specific logging/storing some values using\n jax.host_callback.\n\n Returns:\n Calculated metrics and optionally output, and batch after all_gather.\n ' variables = {'params': train_state.optimizer.target, *train_state.model_state} output = flax_model.apply(variables, batch, train=False, mutable=False, debug=debug) metrics = metrics_fn(output, batch) if all_gather: output = jax.lax.all_gather(output, 'batch') batch = jax.lax.all_gather(batch, 'batch') return (metrics, output, batch) else: return (metrics, None, None)
def representation_fn(, flax_model: nn.Module, train_state: train_utils.TrainState, batch: bert_base_model.Batch, representation_layer: str, gather_to_host: bool=True) -> Tuple[(jnp.ndarray, jnp.ndarray, jnp.ndarray)]: 'Feeds the inputs to the model and returns their representations.\n\n Args:\n flax_model: A Flax model.\n train_state: TrainState, the state of training including the current\n global_step, model_state, rng, and optimizer. The buffer of this argument\n can be donated to the computation.\n batch: A single batch of data from the dataset.\n representation_layer: The name of the layer to use as the representation.\n gather_to_host: Whether to gather results from all devices to the host,\n rather than leaving them distributed.\n\n Returns:\n Representation learned by the model for the given inputs and the labels and\n masks. If `gather_to_host` is True, these are collected from all hosts.\n ' variables = {'params': train_state.optimizer.target, *train_state.model_state} representation_layer_parts = representation_layer.split('/') filter_rep = (lambda mdl, _: (mdl.name == representation_layer_parts[(- 1)])) (_, model_state) = flax_model.apply(variables, batch, train=False, capture_intermediates=filter_rep, mutable=['intermediates'], transfer_mode=True, debug=False) if ('intermediates' not in model_state): raise ValueError(f'Layer with name "{representation_layer}" does not exist in your model.') representation = model_state['intermediates'] for rep_layer in representation_layer_parts: if rep_layer: representation = representation[rep_layer] representation = representation['__call__'][0] if gather_to_host: representation = jax.lax.all_gather(representation, 'batch') batch = jax.lax.all_gather(batch, 'batch') return (representation, batch['label'], batch['batch_mask'])	-1,253,500,954,270,226,400	Feeds the inputs to the model and returns their representations. Args: flax_model: A Flax model. train_state: TrainState, the state of training including the current global_step, model_state, rng, and optimizer. The buffer of this argument can be donated to the computation. batch: A single batch of data from the dataset. representation_layer: The name of the layer to use as the representation. gather_to_host: Whether to gather results from all devices to the host, rather than leaving them distributed. Returns: Representation learned by the model for the given inputs and the labels and masks. If `gather_to_host` is True, these are collected from all hosts.	scenic/projects/baselines/bert/trainer.py	representation_fn	YYCOCO/scenic	python	def representation_fn(, flax_model: nn.Module, train_state: train_utils.TrainState, batch: bert_base_model.Batch, representation_layer: str, gather_to_host: bool=True) -> Tuple[(jnp.ndarray, jnp.ndarray, jnp.ndarray)]: 'Feeds the inputs to the model and returns their representations.\n\n Args:\n flax_model: A Flax model.\n train_state: TrainState, the state of training including the current\n global_step, model_state, rng, and optimizer. The buffer of this argument\n can be donated to the computation.\n batch: A single batch of data from the dataset.\n representation_layer: The name of the layer to use as the representation.\n gather_to_host: Whether to gather results from all devices to the host,\n rather than leaving them distributed.\n\n Returns:\n Representation learned by the model for the given inputs and the labels and\n masks. If `gather_to_host` is True, these are collected from all hosts.\n ' variables = {'params': train_state.optimizer.target, *train_state.model_state} representation_layer_parts = representation_layer.split('/') filter_rep = (lambda mdl, _: (mdl.name == representation_layer_parts[(- 1)])) (_, model_state) = flax_model.apply(variables, batch, train=False, capture_intermediates=filter_rep, mutable=['intermediates'], transfer_mode=True, debug=False) if ('intermediates' not in model_state): raise ValueError(f'Layer with name "{representation_layer}" does not exist in your model.') representation = model_state['intermediates'] for rep_layer in representation_layer_parts: if rep_layer: representation = representation[rep_layer] representation = representation['__call__'][0] if gather_to_host: representation = jax.lax.all_gather(representation, 'batch') batch = jax.lax.all_gather(batch, 'batch') return (representation, batch['label'], batch['batch_mask'])
def train(*, rng: jnp.ndarray, config: ml_collections.ConfigDict, model_cls: Type[bert_base_model.BERTBaseModel], dataset: dataset_utils.Dataset, workdir: str, writer: metric_writers.MetricWriter) -> Tuple[(train_utils.TrainState, Dict[(str, Any)], Dict[(str, Any)])]: 'Main training loop lives in this function.\n\n Given the model class and dataset, it prepares the items needed to run the\n training, including the TrainState.\n\n Args:\n rng: Jax rng key.\n config: Configurations of the experiment.\n model_cls: Model class; A model has a flax_module, a loss_fn, and a\n metrics_fn associated with it.\n dataset: The dataset that has train_iter, eval_iter, meta_data, and\n optionally, test_iter.\n workdir: Directory for checkpointing.\n writer: CLU metrics writer instance.\n\n Returns:\n train_state that has the state of training (including current\n global_step, model_state, rng, and the optimizer), train_summary\n and eval_summary which are dict of metrics. These outputs are used for\n regression testing.\n ' lead_host = (jax.process_index() == 0) model = model_cls(config, dataset.meta_data) (rng, init_rng) = jax.random.split(rng) (params, model_state, num_trainable_params, gflops) = bert_train_utils.initialize_bert_model(model_def=model.flax_model, input_spec=dataset.meta_data['input_spec'], config=config, rngs=init_rng) optimizer = jax.jit(optimizers.get_optimizer(config).create, backend='cpu')(params) (rng, train_rng) = jax.random.split(rng) train_state = train_utils.TrainState(global_step=0, optimizer=optimizer, model_state=model_state, rng=train_rng, accum_train_time=0) start_step = train_state.global_step if config.checkpoint: (train_state, start_step) = train_utils.restore_checkpoint(workdir, train_state) if ((start_step == 0) and (config.get('init_from') is not None)): restored_model_cfg = config.init_from.get('model_config') init_checkpoint_path = config.init_from.get('checkpoint_path') restored_train_state = pretrain_utils.restore_pretrained_checkpoint(init_checkpoint_path, train_state, assert_exist=True) train_state = model.init_from_train_state(train_state, restored_train_state, restored_model_cfg) del restored_train_state train_state = jax_utils.replicate(train_state) del params (total_steps, steps_per_epoch) = train_utils.get_num_training_steps(config, dataset.meta_data) learning_rate_fn = lr_schedules.get_learning_rate_fn(config) train_step_pmapped = jax.pmap(functools.partial(train_step, flax_model=model.flax_model, learning_rate_fn=learning_rate_fn, loss_fn=model.loss_function, metrics_fn=model.get_metrics_fn('train'), config=config, debug=config.debug_train), axis_name='batch', donate_argnums=(0, 1)) eval_step_pmapped = jax.pmap(functools.partial(eval_step, flax_model=model.flax_model, metrics_fn=model.get_metrics_fn('validation'), all_gather=config.get('global_metrics', False), debug=config.debug_eval), axis_name='batch', donate_argnums=(1,)) if ('fewshot' in config): representation_fn_pmaped = jax.pmap(functools.partial(representation_fn, flax_model=model.flax_model, representation_layer=config.fewshot.representation_layer), donate_argnums=(1,), axis_name='batch') fewshotter = bert_train_utils.BERTFewShotEvaluator(representation_fn_pmaped, config.fewshot) log_eval_steps = (config.get('log_eval_steps') or steps_per_epoch) if (not log_eval_steps): raise ValueError("'log_eval_steps' should be specified in the config.") checkpoint_steps = (config.get('checkpoint_steps') or log_eval_steps) log_summary_steps = (config.get('log_summary_steps') or log_eval_steps) total_eval_steps = int(np.ceil((dataset.meta_data['num_eval_examples'] / config.batch_size))) steps_per_eval = (config.get('steps_per_eval') or total_eval_steps) compute_global_metrics = False if (config.get('global_metrics', False) and lead_host): compute_global_metrics = True if compute_global_metrics: global_metrics_evaluator = bert_train_utils.BERTGlobalEvaluator(config.global_metrics) (train_metrics, extra_training_logs) = ([], []) (train_summary, eval_summary) = (None, None) chrono = train_utils.Chrono(first_step=start_step, total_steps=total_steps, steps_per_epoch=steps_per_epoch, global_bs=config.batch_size, accum_train_time=int(jax_utils.unreplicate(train_state.accum_train_time)), example_type='example') logging.info('Starting training loop at step %d.', (start_step + 1)) report_progress = periodic_actions.ReportProgress(num_train_steps=total_steps, writer=writer) hooks = [report_progress] if (config.get('xprof', True) and lead_host): hooks.append(periodic_actions.Profile(num_profile_steps=5, logdir=workdir)) if (start_step == 0): step0_log = {'num_trainable_params': num_trainable_params} if gflops: step0_log['gflops'] = gflops writer.write_scalars(1, step0_log) for step in range((start_step + 1), (total_steps + 1)): with jax.profiler.StepTraceContext('train', step_num=step): train_batch = next(dataset.train_iter) (train_state, t_metrics, lr) = train_step_pmapped(train_state=train_state, batch=train_batch) train_metrics.append(t_metrics) extra_training_logs.append({'learning_rate': lr}) for h in hooks: h(step) chrono.pause() if (((step % log_summary_steps) == 1) or (step == total_steps)): if lead_host: chrono.tick(step, writer=writer) train_summary = train_utils.log_train_summary(step=step, train_metrics=jax.tree_map(train_utils.unreplicate_and_get, train_metrics), extra_training_logs=jax.tree_map(train_utils.unreplicate_and_get, extra_training_logs), writer=writer) (train_metrics, extra_training_logs) = ([], []) if (((step % log_eval_steps) == 1) or (step == total_steps)): with report_progress.timed('eval'): eval_metrics = [] train_state = train_utils.sync_model_state_across_replicas(train_state) for _ in range(steps_per_eval): eval_batch = next(dataset.valid_iter) (e_metrics, e_output, e_batch) = eval_step_pmapped(train_state=train_state, batch=eval_batch) eval_metrics.append(train_utils.unreplicate_and_get(e_metrics)) if compute_global_metrics: e_batch_mask = train_utils.unreplicate_and_get(e_batch['batch_mask']).astype(bool) t_key = ('label' if ('label' in e_batch) else 'targets') global_metrics_evaluator.add_batch_of_examples(target=train_utils.unreplicate_and_get(e_batch[t_key])[e_batch_mask], output=train_utils.unreplicate_and_get(e_output)[e_batch_mask]) del e_batch, e_output, e_batch_mask eval_global_metrics_summary = None if compute_global_metrics: if (len(global_metrics_evaluator) != dataset.meta_data['num_eval_examples']): raise ValueError(f"Number of eval examples should be {dataset.meta_data['num_eval_examples']}, but it is {len(global_metrics_evaluator)}.") eval_global_metrics_summary = global_metrics_evaluator.compute_metrics(clear_annotations=True) eval_summary = train_utils.log_eval_summary(step=step, eval_metrics=eval_metrics, extra_eval_summary=eval_global_metrics_summary, writer=writer) writer.flush() del eval_metrics, eval_global_metrics_summary if (((((step % checkpoint_steps) == 0) and (step > 0)) or (step == total_steps)) and config.checkpoint): with report_progress.timed('checkpoint'): train_state = train_utils.sync_model_state_across_replicas(train_state) if lead_host: train_state.replace(accum_train_time=chrono.accum_train_time) train_utils.save_checkpoint(workdir, train_state) if ('fewshot' in config): if (((step % config.fewshot.log_eval_steps) == 1) or (step == total_steps)): with report_progress.timed('fewshot'): results = fewshotter.run_all(train_state, config.fewshot.datasets) fewshotter.log_fewshot_summary(writer=writer, step=step, results=results) del results writer.write_scalars(step, {'zz/epoch': (step / steps_per_epoch)}) writer.flush() chrono.resume() jax.random.normal(jax.random.PRNGKey(0), ()).block_until_ready() return (train_state, train_summary, eval_summary)	-5,546,512,633,221,539,000	Main training loop lives in this function. Given the model class and dataset, it prepares the items needed to run the training, including the TrainState. Args: rng: Jax rng key. config: Configurations of the experiment. model_cls: Model class; A model has a flax_module, a loss_fn, and a metrics_fn associated with it. dataset: The dataset that has train_iter, eval_iter, meta_data, and optionally, test_iter. workdir: Directory for checkpointing. writer: CLU metrics writer instance. Returns: train_state that has the state of training (including current global_step, model_state, rng, and the optimizer), train_summary and eval_summary which are dict of metrics. These outputs are used for regression testing.	scenic/projects/baselines/bert/trainer.py	train	YYCOCO/scenic	python	def train(*, rng: jnp.ndarray, config: ml_collections.ConfigDict, model_cls: Type[bert_base_model.BERTBaseModel], dataset: dataset_utils.Dataset, workdir: str, writer: metric_writers.MetricWriter) -> Tuple[(train_utils.TrainState, Dict[(str, Any)], Dict[(str, Any)])]: 'Main training loop lives in this function.\n\n Given the model class and dataset, it prepares the items needed to run the\n training, including the TrainState.\n\n Args:\n rng: Jax rng key.\n config: Configurations of the experiment.\n model_cls: Model class; A model has a flax_module, a loss_fn, and a\n metrics_fn associated with it.\n dataset: The dataset that has train_iter, eval_iter, meta_data, and\n optionally, test_iter.\n workdir: Directory for checkpointing.\n writer: CLU metrics writer instance.\n\n Returns:\n train_state that has the state of training (including current\n global_step, model_state, rng, and the optimizer), train_summary\n and eval_summary which are dict of metrics. These outputs are used for\n regression testing.\n ' lead_host = (jax.process_index() == 0) model = model_cls(config, dataset.meta_data) (rng, init_rng) = jax.random.split(rng) (params, model_state, num_trainable_params, gflops) = bert_train_utils.initialize_bert_model(model_def=model.flax_model, input_spec=dataset.meta_data['input_spec'], config=config, rngs=init_rng) optimizer = jax.jit(optimizers.get_optimizer(config).create, backend='cpu')(params) (rng, train_rng) = jax.random.split(rng) train_state = train_utils.TrainState(global_step=0, optimizer=optimizer, model_state=model_state, rng=train_rng, accum_train_time=0) start_step = train_state.global_step if config.checkpoint: (train_state, start_step) = train_utils.restore_checkpoint(workdir, train_state) if ((start_step == 0) and (config.get('init_from') is not None)): restored_model_cfg = config.init_from.get('model_config') init_checkpoint_path = config.init_from.get('checkpoint_path') restored_train_state = pretrain_utils.restore_pretrained_checkpoint(init_checkpoint_path, train_state, assert_exist=True) train_state = model.init_from_train_state(train_state, restored_train_state, restored_model_cfg) del restored_train_state train_state = jax_utils.replicate(train_state) del params (total_steps, steps_per_epoch) = train_utils.get_num_training_steps(config, dataset.meta_data) learning_rate_fn = lr_schedules.get_learning_rate_fn(config) train_step_pmapped = jax.pmap(functools.partial(train_step, flax_model=model.flax_model, learning_rate_fn=learning_rate_fn, loss_fn=model.loss_function, metrics_fn=model.get_metrics_fn('train'), config=config, debug=config.debug_train), axis_name='batch', donate_argnums=(0, 1)) eval_step_pmapped = jax.pmap(functools.partial(eval_step, flax_model=model.flax_model, metrics_fn=model.get_metrics_fn('validation'), all_gather=config.get('global_metrics', False), debug=config.debug_eval), axis_name='batch', donate_argnums=(1,)) if ('fewshot' in config): representation_fn_pmaped = jax.pmap(functools.partial(representation_fn, flax_model=model.flax_model, representation_layer=config.fewshot.representation_layer), donate_argnums=(1,), axis_name='batch') fewshotter = bert_train_utils.BERTFewShotEvaluator(representation_fn_pmaped, config.fewshot) log_eval_steps = (config.get('log_eval_steps') or steps_per_epoch) if (not log_eval_steps): raise ValueError("'log_eval_steps' should be specified in the config.") checkpoint_steps = (config.get('checkpoint_steps') or log_eval_steps) log_summary_steps = (config.get('log_summary_steps') or log_eval_steps) total_eval_steps = int(np.ceil((dataset.meta_data['num_eval_examples'] / config.batch_size))) steps_per_eval = (config.get('steps_per_eval') or total_eval_steps) compute_global_metrics = False if (config.get('global_metrics', False) and lead_host): compute_global_metrics = True if compute_global_metrics: global_metrics_evaluator = bert_train_utils.BERTGlobalEvaluator(config.global_metrics) (train_metrics, extra_training_logs) = ([], []) (train_summary, eval_summary) = (None, None) chrono = train_utils.Chrono(first_step=start_step, total_steps=total_steps, steps_per_epoch=steps_per_epoch, global_bs=config.batch_size, accum_train_time=int(jax_utils.unreplicate(train_state.accum_train_time)), example_type='example') logging.info('Starting training loop at step %d.', (start_step + 1)) report_progress = periodic_actions.ReportProgress(num_train_steps=total_steps, writer=writer) hooks = [report_progress] if (config.get('xprof', True) and lead_host): hooks.append(periodic_actions.Profile(num_profile_steps=5, logdir=workdir)) if (start_step == 0): step0_log = {'num_trainable_params': num_trainable_params} if gflops: step0_log['gflops'] = gflops writer.write_scalars(1, step0_log) for step in range((start_step + 1), (total_steps + 1)): with jax.profiler.StepTraceContext('train', step_num=step): train_batch = next(dataset.train_iter) (train_state, t_metrics, lr) = train_step_pmapped(train_state=train_state, batch=train_batch) train_metrics.append(t_metrics) extra_training_logs.append({'learning_rate': lr}) for h in hooks: h(step) chrono.pause() if (((step % log_summary_steps) == 1) or (step == total_steps)): if lead_host: chrono.tick(step, writer=writer) train_summary = train_utils.log_train_summary(step=step, train_metrics=jax.tree_map(train_utils.unreplicate_and_get, train_metrics), extra_training_logs=jax.tree_map(train_utils.unreplicate_and_get, extra_training_logs), writer=writer) (train_metrics, extra_training_logs) = ([], []) if (((step % log_eval_steps) == 1) or (step == total_steps)): with report_progress.timed('eval'): eval_metrics = [] train_state = train_utils.sync_model_state_across_replicas(train_state) for _ in range(steps_per_eval): eval_batch = next(dataset.valid_iter) (e_metrics, e_output, e_batch) = eval_step_pmapped(train_state=train_state, batch=eval_batch) eval_metrics.append(train_utils.unreplicate_and_get(e_metrics)) if compute_global_metrics: e_batch_mask = train_utils.unreplicate_and_get(e_batch['batch_mask']).astype(bool) t_key = ('label' if ('label' in e_batch) else 'targets') global_metrics_evaluator.add_batch_of_examples(target=train_utils.unreplicate_and_get(e_batch[t_key])[e_batch_mask], output=train_utils.unreplicate_and_get(e_output)[e_batch_mask]) del e_batch, e_output, e_batch_mask eval_global_metrics_summary = None if compute_global_metrics: if (len(global_metrics_evaluator) != dataset.meta_data['num_eval_examples']): raise ValueError(f"Number of eval examples should be {dataset.meta_data['num_eval_examples']}, but it is {len(global_metrics_evaluator)}.") eval_global_metrics_summary = global_metrics_evaluator.compute_metrics(clear_annotations=True) eval_summary = train_utils.log_eval_summary(step=step, eval_metrics=eval_metrics, extra_eval_summary=eval_global_metrics_summary, writer=writer) writer.flush() del eval_metrics, eval_global_metrics_summary if (((((step % checkpoint_steps) == 0) and (step > 0)) or (step == total_steps)) and config.checkpoint): with report_progress.timed('checkpoint'): train_state = train_utils.sync_model_state_across_replicas(train_state) if lead_host: train_state.replace(accum_train_time=chrono.accum_train_time) train_utils.save_checkpoint(workdir, train_state) if ('fewshot' in config): if (((step % config.fewshot.log_eval_steps) == 1) or (step == total_steps)): with report_progress.timed('fewshot'): results = fewshotter.run_all(train_state, config.fewshot.datasets) fewshotter.log_fewshot_summary(writer=writer, step=step, results=results) del results writer.write_scalars(step, {'zz/epoch': (step / steps_per_epoch)}) writer.flush() chrono.resume() jax.random.normal(jax.random.PRNGKey(0), ()).block_until_ready() return (train_state, train_summary, eval_summary)
def make_app(): "Create and return the main Tornado web application.\n \n It will listen on the port assigned via `app.listen(port)`,\n and will run on Tornado's main ioloop,\n which can be started with `tornado.ioloop.IOLoop.current().start()`.\n " return tornado.web.Application([('/connect', ClientSocket), ('/(.*)', tornado.web.StaticFileHandler, {'path': 'client', 'default_filename': 'index.html'})], debug=True)	5,578,636,170,637,167,000	Create and return the main Tornado web application. It will listen on the port assigned via `app.listen(port)`, and will run on Tornado's main ioloop, which can be started with `tornado.ioloop.IOLoop.current().start()`.	6/server.py	make_app	mesilliac/multitude	python	def make_app(): "Create and return the main Tornado web application.\n \n It will listen on the port assigned via `app.listen(port)`,\n and will run on Tornado's main ioloop,\n which can be started with `tornado.ioloop.IOLoop.current().start()`.\n " return tornado.web.Application([('/connect', ClientSocket), ('/(.*)', tornado.web.StaticFileHandler, {'path': 'client', 'default_filename': 'index.html'})], debug=True)
def open(self): 'Called when a websocket connection is initiated.' print('WebSocket opened', 'from user at {}'.format(self.request.remote_ip))	8,339,893,375,875,062,000	Called when a websocket connection is initiated.	6/server.py	open	mesilliac/multitude	python	def open(self): print('WebSocket opened', 'from user at {}'.format(self.request.remote_ip))
def on_message(self, message): 'Called when a websocket client sends a message.' print('client sent: {!r}'.format(message)) try: parsed_message = json.loads(message) except ValueError: print('Failed to parse message: {!r}'.format(message)) return if ('message' in parsed_message): response = {'client': str(self.request.remote_ip), 'message': parsed_message['message']} m = json.dumps(response) self.write_message(m) else: print('message unhandled.')	2,825,529,043,714,230,000	Called when a websocket client sends a message.	6/server.py	on_message	mesilliac/multitude	python	def on_message(self, message): print('client sent: {!r}'.format(message)) try: parsed_message = json.loads(message) except ValueError: print('Failed to parse message: {!r}'.format(message)) return if ('message' in parsed_message): response = {'client': str(self.request.remote_ip), 'message': parsed_message['message']} m = json.dumps(response) self.write_message(m) else: print('message unhandled.')
def on_close(self): 'Called when a client connection is closed for any reason.' print('WebSocket closed', 'by user at {}'.format(self.request.remote_ip)) print('close code: {}'.format(self.close_code)) print('close reason: {!r}'.format(self.close_reason))	-5,035,516,040,567,961,000	Called when a client connection is closed for any reason.	6/server.py	on_close	mesilliac/multitude	python	def on_close(self): print('WebSocket closed', 'by user at {}'.format(self.request.remote_ip)) print('close code: {}'.format(self.close_code)) print('close reason: {!r}'.format(self.close_reason))
def upsert(self, fileobj, as_string_obj=False): 'Expects a file object, not a file path. This is important because this has to work for both\n the management command and the web uploader; the web uploader will pass in in-memory file\n with no path!\n\n Header row is:\n Title, Group, Task List, Created Date, Due Date, Completed, Created By, Assigned To, Note, Priority\n ' if as_string_obj: csv_reader = csv.DictReader(fileobj) else: csv_reader = csv.DictReader(codecs.iterdecode(fileobj, 'utf-8')) header = csv_reader.fieldnames expected = ['Title', 'Group', 'Task List', 'Created By', 'Created Date', 'Due Date', 'Completed', 'Assigned To', 'Note', 'Priority'] if (header != expected): self.errors.append(f'''Inbound data does not have expected columns. Should be: {expected}''') return for row in csv_reader: self.line_count += 1 newrow = self.validate_row(row) if newrow: assignee = (newrow.get('Assigned To') if newrow.get('Assigned To') else None) created_at = (newrow.get('Created Date') if newrow.get('Created Date') else datetime.datetime.today()) due_date = (newrow.get('Due Date') if newrow.get('Due Date') else None) priority = (newrow.get('Priority') if newrow.get('Priority') else None) (obj, created) = Task.objects.update_or_create(created_by=newrow.get('Created By'), task_list=newrow.get('Task List'), title=newrow.get('Title'), defaults={'assigned_to': assignee, 'completed': newrow.get('Completed'), 'created_at': created_at, 'due_date': due_date, 'note': newrow.get('Note'), 'priority': priority}) self.upsert_count += 1 msg = f'Upserted task {obj.id}: "{obj.title}" in list "{obj.task_list}" (group "{obj.task_list.group}")' self.upserts.append(msg) self.summaries.append(f'Processed {self.line_count} CSV rows') self.summaries.append(f'Upserted {self.upsert_count} rows') self.summaries.append(f'Skipped {(self.line_count - self.upsert_count)} rows') return {'summaries': self.summaries, 'upserts': self.upserts, 'errors': self.errors}	-1,511,334,185,700,706,800	Expects a file object, not a file path. This is important because this has to work for both the management command and the web uploader; the web uploader will pass in in-memory file with no path! Header row is: Title, Group, Task List, Created Date, Due Date, Completed, Created By, Assigned To, Note, Priority	todo/operations/csv_importer.py	upsert	paiuolo/django-todo	python	def upsert(self, fileobj, as_string_obj=False): 'Expects a file object, not a file path. This is important because this has to work for both\n the management command and the web uploader; the web uploader will pass in in-memory file\n with no path!\n\n Header row is:\n Title, Group, Task List, Created Date, Due Date, Completed, Created By, Assigned To, Note, Priority\n ' if as_string_obj: csv_reader = csv.DictReader(fileobj) else: csv_reader = csv.DictReader(codecs.iterdecode(fileobj, 'utf-8')) header = csv_reader.fieldnames expected = ['Title', 'Group', 'Task List', 'Created By', 'Created Date', 'Due Date', 'Completed', 'Assigned To', 'Note', 'Priority'] if (header != expected): self.errors.append(f'Inbound data does not have expected columns. Should be: {expected}') return for row in csv_reader: self.line_count += 1 newrow = self.validate_row(row) if newrow: assignee = (newrow.get('Assigned To') if newrow.get('Assigned To') else None) created_at = (newrow.get('Created Date') if newrow.get('Created Date') else datetime.datetime.today()) due_date = (newrow.get('Due Date') if newrow.get('Due Date') else None) priority = (newrow.get('Priority') if newrow.get('Priority') else None) (obj, created) = Task.objects.update_or_create(created_by=newrow.get('Created By'), task_list=newrow.get('Task List'), title=newrow.get('Title'), defaults={'assigned_to': assignee, 'completed': newrow.get('Completed'), 'created_at': created_at, 'due_date': due_date, 'note': newrow.get('Note'), 'priority': priority}) self.upsert_count += 1 msg = f'Upserted task {obj.id}: "{obj.title}" in list "{obj.task_list}" (group "{obj.task_list.group}")' self.upserts.append(msg) self.summaries.append(f'Processed {self.line_count} CSV rows') self.summaries.append(f'Upserted {self.upsert_count} rows') self.summaries.append(f'Skipped {(self.line_count - self.upsert_count)} rows') return {'summaries': self.summaries, 'upserts': self.upserts, 'errors': self.errors}
def validate_row(self, row): 'Perform data integrity checks and set default values. Returns a valid object for insertion, or False.\n Errors are stored for later display. Intentionally not broken up into separate validator functions because\n there are interdpendencies, such as checking for existing `creator` in one place and then using\n that creator for group membership check in others.' row_errors = [] if (not row.get('Created By')): msg = f'Missing required task creator.' row_errors.append(msg) creator = get_user_model().objects.filter(username=row.get('Created By')).first() if (not creator): msg = f"Invalid task creator {row.get('Created By')}" row_errors.append(msg) assignee = None if row.get('Assigned To'): assigned = get_user_model().objects.filter(username=row.get('Assigned To')) if assigned.exists(): assignee = assigned.first() else: msg = f"Missing or invalid task assignee {row.get('Assigned To')}" row_errors.append(msg) try: target_group = Group.objects.get(name=row.get('Group')) except Group.DoesNotExist: msg = f"Could not find group {row.get('Group')}." row_errors.append(msg) target_group = None if (creator and (target_group not in creator.groups.all())): msg = f'{creator} is not in group {target_group}' row_errors.append(msg) if (assignee and (target_group not in assignee.groups.all())): msg = f'{assignee} is not in group {target_group}' row_errors.append(msg) try: tasklist = TaskList.objects.get(name=row.get('Task List'), group=target_group) row['Task List'] = tasklist except TaskList.DoesNotExist: msg = f"Task list {row.get('Task List')} in group {target_group} does not exist" row_errors.append(msg) datefields = ['Due Date', 'Created Date'] for datefield in datefields: datestring = row.get(datefield) if datestring: valid_date = self.validate_date(datestring) if valid_date: row[datefield] = valid_date else: msg = f'Could not convert {datefield} {datestring} to valid date instance' row_errors.append(msg) row['Created By'] = creator row['Group'] = target_group if assignee: row['Assigned To'] = assignee row['Completed'] = (row['Completed'] == 'Yes') if row_errors: self.errors.append({self.line_count: row_errors}) return False return row	7,638,953,346,214,888,000	Perform data integrity checks and set default values. Returns a valid object for insertion, or False. Errors are stored for later display. Intentionally not broken up into separate validator functions because there are interdpendencies, such as checking for existing `creator` in one place and then using that creator for group membership check in others.	todo/operations/csv_importer.py	validate_row	paiuolo/django-todo	python	def validate_row(self, row): 'Perform data integrity checks and set default values. Returns a valid object for insertion, or False.\n Errors are stored for later display. Intentionally not broken up into separate validator functions because\n there are interdpendencies, such as checking for existing `creator` in one place and then using\n that creator for group membership check in others.' row_errors = [] if (not row.get('Created By')): msg = f'Missing required task creator.' row_errors.append(msg) creator = get_user_model().objects.filter(username=row.get('Created By')).first() if (not creator): msg = f"Invalid task creator {row.get('Created By')}" row_errors.append(msg) assignee = None if row.get('Assigned To'): assigned = get_user_model().objects.filter(username=row.get('Assigned To')) if assigned.exists(): assignee = assigned.first() else: msg = f"Missing or invalid task assignee {row.get('Assigned To')}" row_errors.append(msg) try: target_group = Group.objects.get(name=row.get('Group')) except Group.DoesNotExist: msg = f"Could not find group {row.get('Group')}." row_errors.append(msg) target_group = None if (creator and (target_group not in creator.groups.all())): msg = f'{creator} is not in group {target_group}' row_errors.append(msg) if (assignee and (target_group not in assignee.groups.all())): msg = f'{assignee} is not in group {target_group}' row_errors.append(msg) try: tasklist = TaskList.objects.get(name=row.get('Task List'), group=target_group) row['Task List'] = tasklist except TaskList.DoesNotExist: msg = f"Task list {row.get('Task List')} in group {target_group} does not exist" row_errors.append(msg) datefields = ['Due Date', 'Created Date'] for datefield in datefields: datestring = row.get(datefield) if datestring: valid_date = self.validate_date(datestring) if valid_date: row[datefield] = valid_date else: msg = f'Could not convert {datefield} {datestring} to valid date instance' row_errors.append(msg) row['Created By'] = creator row['Group'] = target_group if assignee: row['Assigned To'] = assignee row['Completed'] = (row['Completed'] == 'Yes') if row_errors: self.errors.append({self.line_count: row_errors}) return False return row
def validate_date(self, datestring): 'Inbound date string from CSV translates to a valid python date.' try: date_obj = datetime.datetime.strptime(datestring, '%Y-%m-%d') return date_obj except ValueError: return False	99,234,609,655,635,260	Inbound date string from CSV translates to a valid python date.	todo/operations/csv_importer.py	validate_date	paiuolo/django-todo	python	def validate_date(self, datestring): try: date_obj = datetime.datetime.strptime(datestring, '%Y-%m-%d') return date_obj except ValueError: return False
def queue_handler(event, context): '\n Handler for the event queue lambda trigger\n ' ec2_client = boto3.client('ec2') dynamodb_resource = boto3.resource('dynamodb') route53_client = boto3.client('route53') handler = QueueHandler(ec2_client=ec2_client, dynamodb_resource=dynamodb_resource, route53_client=route53_client, environ=os.environ) return handler.handle(event, context)	2,444,088,784,356,499,000	Handler for the event queue lambda trigger	packages/@aws-cdk-containers/ecs-service-extensions/lib/extensions/assign-public-ip/lambda/index.py	queue_handler	14kw/aws-cdk	python	def queue_handler(event, context): '\n \n ' ec2_client = boto3.client('ec2') dynamodb_resource = boto3.resource('dynamodb') route53_client = boto3.client('route53') handler = QueueHandler(ec2_client=ec2_client, dynamodb_resource=dynamodb_resource, route53_client=route53_client, environ=os.environ) return handler.handle(event, context)
def cleanup_resource_handler(event, context): '\n Event handler for the custom resource.\n ' route53_client = boto3.client('route53') handler = CleanupResourceHandler(route53_client=route53_client) handler.handle_event(event, context)	6,568,129,744,530,817,000	Event handler for the custom resource.	packages/@aws-cdk-containers/ecs-service-extensions/lib/extensions/assign-public-ip/lambda/index.py	cleanup_resource_handler	14kw/aws-cdk	python	def cleanup_resource_handler(event, context): '\n \n ' route53_client = boto3.client('route53') handler = CleanupResourceHandler(route53_client=route53_client) handler.handle_event(event, context)
def __init__(__self__, *, object_type: str, access_token_string: Optional[str]=None, b_ms_active_region: Optional[str]=None, backup_management_type: Optional[str]=None, container_id: Optional[str]=None, container_name: Optional[str]=None, container_type: Optional[str]=None, coordinator_service_stamp_id: Optional[str]=None, coordinator_service_stamp_uri: Optional[str]=None, datasource_container_name: Optional[str]=None, datasource_id: Optional[str]=None, datasource_name: Optional[str]=None, datasource_type: Optional[str]=None, policy_id: Optional[str]=None, policy_name: Optional[str]=None, protectable_object_container_host_os_name: Optional[str]=None, protectable_object_friendly_name: Optional[str]=None, protectable_object_parent_logical_container_name: Optional[str]=None, protectable_object_protection_state: Optional[str]=None, protectable_object_unique_name: Optional[str]=None, protectable_object_workload_type: Optional[str]=None, protection_container_id: Optional[float]=None, protection_service_stamp_id: Optional[str]=None, protection_service_stamp_uri: Optional[str]=None, recovery_point_id: Optional[str]=None, recovery_point_time: Optional[str]=None, resource_group_name: Optional[str]=None, resource_id: Optional[str]=None, resource_name: Optional[str]=None, rp_is_managed_virtual_machine: Optional[bool]=None, rp_original_sa_option: Optional[bool]=None, rp_tier_information: Optional[Mapping[(str, str)]]=None, rp_vm_size_description: Optional[str]=None, subscription_id: Optional[str]=None, token_extended_information: Optional[str]=None): "\n :param str object_type: Type of the specific object - used for deserializing\n Expected value is 'WorkloadCrrAccessToken'.\n :param str access_token_string: Access token used for authentication\n :param str b_ms_active_region: Active region name of BMS Stamp\n :param str backup_management_type: Backup Management Type\n :param str container_id: Container Id\n :param str container_name: Container Unique name\n :param str container_type: Container Type\n :param str coordinator_service_stamp_id: CoordinatorServiceStampId to be used by BCM in restore call\n :param str coordinator_service_stamp_uri: CoordinatorServiceStampUri to be used by BCM in restore call\n :param str datasource_container_name: Datasource Container Unique Name\n :param str datasource_id: Datasource Id\n :param str datasource_name: Datasource Friendly Name\n :param str datasource_type: Datasource Type\n :param str policy_id: Policy Id\n :param str policy_name: Policy Name\n :param float protection_container_id: Protected item container id\n :param str protection_service_stamp_id: ProtectionServiceStampId to be used by BCM in restore call\n :param str protection_service_stamp_uri: ProtectionServiceStampUri to be used by BCM in restore call\n :param str recovery_point_id: Recovery Point Id\n :param str recovery_point_time: Recovery Point Time\n :param str resource_group_name: Resource Group name of the source vault\n :param str resource_id: Resource Id of the source vault\n :param str resource_name: Resource Name of the source vault\n :param bool rp_is_managed_virtual_machine: Recovery point information: Managed virtual machine\n :param bool rp_original_sa_option: Recovery point information: Original SA option\n :param Mapping[str, str] rp_tier_information: Recovery point Tier Information\n :param str rp_vm_size_description: Recovery point information: VM size description\n :param str subscription_id: Subscription Id of the source vault\n :param str token_extended_information: Extended Information about the token like FileSpec etc.\n " pulumi.set(__self__, 'object_type', 'WorkloadCrrAccessToken') if (access_token_string is not None): pulumi.set(__self__, 'access_token_string', access_token_string) if (b_ms_active_region is not None): pulumi.set(__self__, 'b_ms_active_region', b_ms_active_region) if (backup_management_type is not None): pulumi.set(__self__, 'backup_management_type', backup_management_type) if (container_id is not None): pulumi.set(__self__, 'container_id', container_id) if (container_name is not None): pulumi.set(__self__, 'container_name', container_name) if (container_type is not None): pulumi.set(__self__, 'container_type', container_type) if (coordinator_service_stamp_id is not None): pulumi.set(__self__, 'coordinator_service_stamp_id', coordinator_service_stamp_id) if (coordinator_service_stamp_uri is not None): pulumi.set(__self__, 'coordinator_service_stamp_uri', coordinator_service_stamp_uri) if (datasource_container_name is not None): pulumi.set(__self__, 'datasource_container_name', datasource_container_name) if (datasource_id is not None): pulumi.set(__self__, 'datasource_id', datasource_id) if (datasource_name is not None): pulumi.set(__self__, 'datasource_name', datasource_name) if (datasource_type is not None): pulumi.set(__self__, 'datasource_type', datasource_type) if (policy_id is not None): pulumi.set(__self__, 'policy_id', policy_id) if (policy_name is not None): pulumi.set(__self__, 'policy_name', policy_name) if (protectable_object_container_host_os_name is not None): pulumi.set(__self__, 'protectable_object_container_host_os_name', protectable_object_container_host_os_name) if (protectable_object_friendly_name is not None): pulumi.set(__self__, 'protectable_object_friendly_name', protectable_object_friendly_name) if (protectable_object_parent_logical_container_name is not None): pulumi.set(__self__, 'protectable_object_parent_logical_container_name', protectable_object_parent_logical_container_name) if (protectable_object_protection_state is not None): pulumi.set(__self__, 'protectable_object_protection_state', protectable_object_protection_state) if (protectable_object_unique_name is not None): pulumi.set(__self__, 'protectable_object_unique_name', protectable_object_unique_name) if (protectable_object_workload_type is not None): pulumi.set(__self__, 'protectable_object_workload_type', protectable_object_workload_type) if (protection_container_id is not None): pulumi.set(__self__, 'protection_container_id', protection_container_id) if (protection_service_stamp_id is not None): pulumi.set(__self__, 'protection_service_stamp_id', protection_service_stamp_id) if (protection_service_stamp_uri is not None): pulumi.set(__self__, 'protection_service_stamp_uri', protection_service_stamp_uri) if (recovery_point_id is not None): pulumi.set(__self__, 'recovery_point_id', recovery_point_id) if (recovery_point_time is not None): pulumi.set(__self__, 'recovery_point_time', recovery_point_time) if (resource_group_name is not None): pulumi.set(__self__, 'resource_group_name', resource_group_name) if (resource_id is not None): pulumi.set(__self__, 'resource_id', resource_id) if (resource_name is not None): pulumi.set(__self__, 'resource_name', resource_name) if (rp_is_managed_virtual_machine is not None): pulumi.set(__self__, 'rp_is_managed_virtual_machine', rp_is_managed_virtual_machine) if (rp_original_sa_option is not None): pulumi.set(__self__, 'rp_original_sa_option', rp_original_sa_option) if (rp_tier_information is not None): pulumi.set(__self__, 'rp_tier_information', rp_tier_information) if (rp_vm_size_description is not None): pulumi.set(__self__, 'rp_vm_size_description', rp_vm_size_description) if (subscription_id is not None): pulumi.set(__self__, 'subscription_id', subscription_id) if (token_extended_information is not None): pulumi.set(__self__, 'token_extended_information', token_extended_information)	5,268,489,130,695,467,000	:param str object_type: Type of the specific object - used for deserializing Expected value is 'WorkloadCrrAccessToken'. :param str access_token_string: Access token used for authentication :param str b_ms_active_region: Active region name of BMS Stamp :param str backup_management_type: Backup Management Type :param str container_id: Container Id :param str container_name: Container Unique name :param str container_type: Container Type :param str coordinator_service_stamp_id: CoordinatorServiceStampId to be used by BCM in restore call :param str coordinator_service_stamp_uri: CoordinatorServiceStampUri to be used by BCM in restore call :param str datasource_container_name: Datasource Container Unique Name :param str datasource_id: Datasource Id :param str datasource_name: Datasource Friendly Name :param str datasource_type: Datasource Type :param str policy_id: Policy Id :param str policy_name: Policy Name :param float protection_container_id: Protected item container id :param str protection_service_stamp_id: ProtectionServiceStampId to be used by BCM in restore call :param str protection_service_stamp_uri: ProtectionServiceStampUri to be used by BCM in restore call :param str recovery_point_id: Recovery Point Id :param str recovery_point_time: Recovery Point Time :param str resource_group_name: Resource Group name of the source vault :param str resource_id: Resource Id of the source vault :param str resource_name: Resource Name of the source vault :param bool rp_is_managed_virtual_machine: Recovery point information: Managed virtual machine :param bool rp_original_sa_option: Recovery point information: Original SA option :param Mapping[str, str] rp_tier_information: Recovery point Tier Information :param str rp_vm_size_description: Recovery point information: VM size description :param str subscription_id: Subscription Id of the source vault :param str token_extended_information: Extended Information about the token like FileSpec etc.	sdk/python/pulumi_azure_native/recoveryservices/v20181220/outputs.py	__init__	polivbr/pulumi-azure-native	python	def __init__(__self__, *, object_type: str, access_token_string: Optional[str]=None, b_ms_active_region: Optional[str]=None, backup_management_type: Optional[str]=None, container_id: Optional[str]=None, container_name: Optional[str]=None, container_type: Optional[str]=None, coordinator_service_stamp_id: Optional[str]=None, coordinator_service_stamp_uri: Optional[str]=None, datasource_container_name: Optional[str]=None, datasource_id: Optional[str]=None, datasource_name: Optional[str]=None, datasource_type: Optional[str]=None, policy_id: Optional[str]=None, policy_name: Optional[str]=None, protectable_object_container_host_os_name: Optional[str]=None, protectable_object_friendly_name: Optional[str]=None, protectable_object_parent_logical_container_name: Optional[str]=None, protectable_object_protection_state: Optional[str]=None, protectable_object_unique_name: Optional[str]=None, protectable_object_workload_type: Optional[str]=None, protection_container_id: Optional[float]=None, protection_service_stamp_id: Optional[str]=None, protection_service_stamp_uri: Optional[str]=None, recovery_point_id: Optional[str]=None, recovery_point_time: Optional[str]=None, resource_group_name: Optional[str]=None, resource_id: Optional[str]=None, resource_name: Optional[str]=None, rp_is_managed_virtual_machine: Optional[bool]=None, rp_original_sa_option: Optional[bool]=None, rp_tier_information: Optional[Mapping[(str, str)]]=None, rp_vm_size_description: Optional[str]=None, subscription_id: Optional[str]=None, token_extended_information: Optional[str]=None): "\n :param str object_type: Type of the specific object - used for deserializing\n Expected value is 'WorkloadCrrAccessToken'.\n :param str access_token_string: Access token used for authentication\n :param str b_ms_active_region: Active region name of BMS Stamp\n :param str backup_management_type: Backup Management Type\n :param str container_id: Container Id\n :param str container_name: Container Unique name\n :param str container_type: Container Type\n :param str coordinator_service_stamp_id: CoordinatorServiceStampId to be used by BCM in restore call\n :param str coordinator_service_stamp_uri: CoordinatorServiceStampUri to be used by BCM in restore call\n :param str datasource_container_name: Datasource Container Unique Name\n :param str datasource_id: Datasource Id\n :param str datasource_name: Datasource Friendly Name\n :param str datasource_type: Datasource Type\n :param str policy_id: Policy Id\n :param str policy_name: Policy Name\n :param float protection_container_id: Protected item container id\n :param str protection_service_stamp_id: ProtectionServiceStampId to be used by BCM in restore call\n :param str protection_service_stamp_uri: ProtectionServiceStampUri to be used by BCM in restore call\n :param str recovery_point_id: Recovery Point Id\n :param str recovery_point_time: Recovery Point Time\n :param str resource_group_name: Resource Group name of the source vault\n :param str resource_id: Resource Id of the source vault\n :param str resource_name: Resource Name of the source vault\n :param bool rp_is_managed_virtual_machine: Recovery point information: Managed virtual machine\n :param bool rp_original_sa_option: Recovery point information: Original SA option\n :param Mapping[str, str] rp_tier_information: Recovery point Tier Information\n :param str rp_vm_size_description: Recovery point information: VM size description\n :param str subscription_id: Subscription Id of the source vault\n :param str token_extended_information: Extended Information about the token like FileSpec etc.\n " pulumi.set(__self__, 'object_type', 'WorkloadCrrAccessToken') if (access_token_string is not None): pulumi.set(__self__, 'access_token_string', access_token_string) if (b_ms_active_region is not None): pulumi.set(__self__, 'b_ms_active_region', b_ms_active_region) if (backup_management_type is not None): pulumi.set(__self__, 'backup_management_type', backup_management_type) if (container_id is not None): pulumi.set(__self__, 'container_id', container_id) if (container_name is not None): pulumi.set(__self__, 'container_name', container_name) if (container_type is not None): pulumi.set(__self__, 'container_type', container_type) if (coordinator_service_stamp_id is not None): pulumi.set(__self__, 'coordinator_service_stamp_id', coordinator_service_stamp_id) if (coordinator_service_stamp_uri is not None): pulumi.set(__self__, 'coordinator_service_stamp_uri', coordinator_service_stamp_uri) if (datasource_container_name is not None): pulumi.set(__self__, 'datasource_container_name', datasource_container_name) if (datasource_id is not None): pulumi.set(__self__, 'datasource_id', datasource_id) if (datasource_name is not None): pulumi.set(__self__, 'datasource_name', datasource_name) if (datasource_type is not None): pulumi.set(__self__, 'datasource_type', datasource_type) if (policy_id is not None): pulumi.set(__self__, 'policy_id', policy_id) if (policy_name is not None): pulumi.set(__self__, 'policy_name', policy_name) if (protectable_object_container_host_os_name is not None): pulumi.set(__self__, 'protectable_object_container_host_os_name', protectable_object_container_host_os_name) if (protectable_object_friendly_name is not None): pulumi.set(__self__, 'protectable_object_friendly_name', protectable_object_friendly_name) if (protectable_object_parent_logical_container_name is not None): pulumi.set(__self__, 'protectable_object_parent_logical_container_name', protectable_object_parent_logical_container_name) if (protectable_object_protection_state is not None): pulumi.set(__self__, 'protectable_object_protection_state', protectable_object_protection_state) if (protectable_object_unique_name is not None): pulumi.set(__self__, 'protectable_object_unique_name', protectable_object_unique_name) if (protectable_object_workload_type is not None): pulumi.set(__self__, 'protectable_object_workload_type', protectable_object_workload_type) if (protection_container_id is not None): pulumi.set(__self__, 'protection_container_id', protection_container_id) if (protection_service_stamp_id is not None): pulumi.set(__self__, 'protection_service_stamp_id', protection_service_stamp_id) if (protection_service_stamp_uri is not None): pulumi.set(__self__, 'protection_service_stamp_uri', protection_service_stamp_uri) if (recovery_point_id is not None): pulumi.set(__self__, 'recovery_point_id', recovery_point_id) if (recovery_point_time is not None): pulumi.set(__self__, 'recovery_point_time', recovery_point_time) if (resource_group_name is not None): pulumi.set(__self__, 'resource_group_name', resource_group_name) if (resource_id is not None): pulumi.set(__self__, 'resource_id', resource_id) if (resource_name is not None): pulumi.set(__self__, 'resource_name', resource_name) if (rp_is_managed_virtual_machine is not None): pulumi.set(__self__, 'rp_is_managed_virtual_machine', rp_is_managed_virtual_machine) if (rp_original_sa_option is not None): pulumi.set(__self__, 'rp_original_sa_option', rp_original_sa_option) if (rp_tier_information is not None): pulumi.set(__self__, 'rp_tier_information', rp_tier_information) if (rp_vm_size_description is not None): pulumi.set(__self__, 'rp_vm_size_description', rp_vm_size_description) if (subscription_id is not None): pulumi.set(__self__, 'subscription_id', subscription_id) if (token_extended_information is not None): pulumi.set(__self__, 'token_extended_information', token_extended_information)
@property @pulumi.getter(name='objectType') def object_type(self) -> str: "\n Type of the specific object - used for deserializing\n Expected value is 'WorkloadCrrAccessToken'.\n " return pulumi.get(self, 'object_type')	-3,998,653,038,819,862,000	Type of the specific object - used for deserializing Expected value is 'WorkloadCrrAccessToken'.	sdk/python/pulumi_azure_native/recoveryservices/v20181220/outputs.py	object_type	polivbr/pulumi-azure-native	python	@property @pulumi.getter(name='objectType') def object_type(self) -> str: "\n Type of the specific object - used for deserializing\n Expected value is 'WorkloadCrrAccessToken'.\n " return pulumi.get(self, 'object_type')
@property @pulumi.getter(name='accessTokenString') def access_token_string(self) -> Optional[str]: '\n Access token used for authentication\n ' return pulumi.get(self, 'access_token_string')	-7,203,913,160,809,380,000	Access token used for authentication	sdk/python/pulumi_azure_native/recoveryservices/v20181220/outputs.py	access_token_string	polivbr/pulumi-azure-native	python	@property @pulumi.getter(name='accessTokenString') def access_token_string(self) -> Optional[str]: '\n \n ' return pulumi.get(self, 'access_token_string')
@property @pulumi.getter(name='bMSActiveRegion') def b_ms_active_region(self) -> Optional[str]: '\n Active region name of BMS Stamp\n ' return pulumi.get(self, 'b_ms_active_region')	3,531,671,361,282,815,500	Active region name of BMS Stamp	sdk/python/pulumi_azure_native/recoveryservices/v20181220/outputs.py	b_ms_active_region	polivbr/pulumi-azure-native	python	@property @pulumi.getter(name='bMSActiveRegion') def b_ms_active_region(self) -> Optional[str]: '\n \n ' return pulumi.get(self, 'b_ms_active_region')
@property @pulumi.getter(name='backupManagementType') def backup_management_type(self) -> Optional[str]: '\n Backup Management Type\n ' return pulumi.get(self, 'backup_management_type')	-3,607,554,820,754,466,300	Backup Management Type	sdk/python/pulumi_azure_native/recoveryservices/v20181220/outputs.py	backup_management_type	polivbr/pulumi-azure-native	python	@property @pulumi.getter(name='backupManagementType') def backup_management_type(self) -> Optional[str]: '\n \n ' return pulumi.get(self, 'backup_management_type')
@property @pulumi.getter(name='containerId') def container_id(self) -> Optional[str]: '\n Container Id\n ' return pulumi.get(self, 'container_id')	-3,906,827,088,908,365,000	Container Id	sdk/python/pulumi_azure_native/recoveryservices/v20181220/outputs.py	container_id	polivbr/pulumi-azure-native	python	@property @pulumi.getter(name='containerId') def container_id(self) -> Optional[str]: '\n \n ' return pulumi.get(self, 'container_id')
@property @pulumi.getter(name='containerName') def container_name(self) -> Optional[str]: '\n Container Unique name\n ' return pulumi.get(self, 'container_name')	2,173,014,166,487,229,000	Container Unique name	sdk/python/pulumi_azure_native/recoveryservices/v20181220/outputs.py	container_name	polivbr/pulumi-azure-native	python	@property @pulumi.getter(name='containerName') def container_name(self) -> Optional[str]: '\n \n ' return pulumi.get(self, 'container_name')
@property @pulumi.getter(name='containerType') def container_type(self) -> Optional[str]: '\n Container Type\n ' return pulumi.get(self, 'container_type')	-7,253,977,290,139,890,000	Container Type	sdk/python/pulumi_azure_native/recoveryservices/v20181220/outputs.py	container_type	polivbr/pulumi-azure-native	python	@property @pulumi.getter(name='containerType') def container_type(self) -> Optional[str]: '\n \n ' return pulumi.get(self, 'container_type')
@property @pulumi.getter(name='coordinatorServiceStampId') def coordinator_service_stamp_id(self) -> Optional[str]: '\n CoordinatorServiceStampId to be used by BCM in restore call\n ' return pulumi.get(self, 'coordinator_service_stamp_id')	7,953,596,843,091,469,000	CoordinatorServiceStampId to be used by BCM in restore call	sdk/python/pulumi_azure_native/recoveryservices/v20181220/outputs.py	coordinator_service_stamp_id	polivbr/pulumi-azure-native	python	@property @pulumi.getter(name='coordinatorServiceStampId') def coordinator_service_stamp_id(self) -> Optional[str]: '\n \n ' return pulumi.get(self, 'coordinator_service_stamp_id')
@property @pulumi.getter(name='coordinatorServiceStampUri') def coordinator_service_stamp_uri(self) -> Optional[str]: '\n CoordinatorServiceStampUri to be used by BCM in restore call\n ' return pulumi.get(self, 'coordinator_service_stamp_uri')	8,869,795,110,830,805,000	CoordinatorServiceStampUri to be used by BCM in restore call	sdk/python/pulumi_azure_native/recoveryservices/v20181220/outputs.py	coordinator_service_stamp_uri	polivbr/pulumi-azure-native	python	@property @pulumi.getter(name='coordinatorServiceStampUri') def coordinator_service_stamp_uri(self) -> Optional[str]: '\n \n ' return pulumi.get(self, 'coordinator_service_stamp_uri')
@property @pulumi.getter(name='datasourceContainerName') def datasource_container_name(self) -> Optional[str]: '\n Datasource Container Unique Name\n ' return pulumi.get(self, 'datasource_container_name')	1,468,694,404,234,115,000	Datasource Container Unique Name	sdk/python/pulumi_azure_native/recoveryservices/v20181220/outputs.py	datasource_container_name	polivbr/pulumi-azure-native	python	@property @pulumi.getter(name='datasourceContainerName') def datasource_container_name(self) -> Optional[str]: '\n \n ' return pulumi.get(self, 'datasource_container_name')
@property @pulumi.getter(name='datasourceId') def datasource_id(self) -> Optional[str]: '\n Datasource Id\n ' return pulumi.get(self, 'datasource_id')	-3,802,653,218,932,743,000	Datasource Id	sdk/python/pulumi_azure_native/recoveryservices/v20181220/outputs.py	datasource_id	polivbr/pulumi-azure-native	python	@property @pulumi.getter(name='datasourceId') def datasource_id(self) -> Optional[str]: '\n \n ' return pulumi.get(self, 'datasource_id')
@property @pulumi.getter(name='datasourceName') def datasource_name(self) -> Optional[str]: '\n Datasource Friendly Name\n ' return pulumi.get(self, 'datasource_name')	-1,316,121,001,417,822,200	Datasource Friendly Name	sdk/python/pulumi_azure_native/recoveryservices/v20181220/outputs.py	datasource_name	polivbr/pulumi-azure-native	python	@property @pulumi.getter(name='datasourceName') def datasource_name(self) -> Optional[str]: '\n \n ' return pulumi.get(self, 'datasource_name')
@property @pulumi.getter(name='datasourceType') def datasource_type(self) -> Optional[str]: '\n Datasource Type\n ' return pulumi.get(self, 'datasource_type')	1,662,289,899,096,395,800	Datasource Type	sdk/python/pulumi_azure_native/recoveryservices/v20181220/outputs.py	datasource_type	polivbr/pulumi-azure-native	python	@property @pulumi.getter(name='datasourceType') def datasource_type(self) -> Optional[str]: '\n \n ' return pulumi.get(self, 'datasource_type')
@property @pulumi.getter(name='policyId') def policy_id(self) -> Optional[str]: '\n Policy Id\n ' return pulumi.get(self, 'policy_id')	-8,343,960,743,785,246,000	Policy Id	sdk/python/pulumi_azure_native/recoveryservices/v20181220/outputs.py	policy_id	polivbr/pulumi-azure-native	python	@property @pulumi.getter(name='policyId') def policy_id(self) -> Optional[str]: '\n \n ' return pulumi.get(self, 'policy_id')
@property @pulumi.getter(name='policyName') def policy_name(self) -> Optional[str]: '\n Policy Name\n ' return pulumi.get(self, 'policy_name')	-7,372,258,329,662,324,000	Policy Name	sdk/python/pulumi_azure_native/recoveryservices/v20181220/outputs.py	policy_name	polivbr/pulumi-azure-native	python	@property @pulumi.getter(name='policyName') def policy_name(self) -> Optional[str]: '\n \n ' return pulumi.get(self, 'policy_name')
@property @pulumi.getter(name='protectionContainerId') def protection_container_id(self) -> Optional[float]: '\n Protected item container id\n ' return pulumi.get(self, 'protection_container_id')	887,728,920,284,130,000	Protected item container id	sdk/python/pulumi_azure_native/recoveryservices/v20181220/outputs.py	protection_container_id	polivbr/pulumi-azure-native	python	@property @pulumi.getter(name='protectionContainerId') def protection_container_id(self) -> Optional[float]: '\n \n ' return pulumi.get(self, 'protection_container_id')
@property @pulumi.getter(name='protectionServiceStampId') def protection_service_stamp_id(self) -> Optional[str]: '\n ProtectionServiceStampId to be used by BCM in restore call\n ' return pulumi.get(self, 'protection_service_stamp_id')	-2,449,994,920,010,010,000	ProtectionServiceStampId to be used by BCM in restore call	sdk/python/pulumi_azure_native/recoveryservices/v20181220/outputs.py	protection_service_stamp_id	polivbr/pulumi-azure-native	python	@property @pulumi.getter(name='protectionServiceStampId') def protection_service_stamp_id(self) -> Optional[str]: '\n \n ' return pulumi.get(self, 'protection_service_stamp_id')
@property @pulumi.getter(name='protectionServiceStampUri') def protection_service_stamp_uri(self) -> Optional[str]: '\n ProtectionServiceStampUri to be used by BCM in restore call\n ' return pulumi.get(self, 'protection_service_stamp_uri')	-324,317,571,534,111,500	ProtectionServiceStampUri to be used by BCM in restore call	sdk/python/pulumi_azure_native/recoveryservices/v20181220/outputs.py	protection_service_stamp_uri	polivbr/pulumi-azure-native	python	@property @pulumi.getter(name='protectionServiceStampUri') def protection_service_stamp_uri(self) -> Optional[str]: '\n \n ' return pulumi.get(self, 'protection_service_stamp_uri')
@property @pulumi.getter(name='recoveryPointId') def recovery_point_id(self) -> Optional[str]: '\n Recovery Point Id\n ' return pulumi.get(self, 'recovery_point_id')	2,502,510,055,000,705,000	Recovery Point Id	sdk/python/pulumi_azure_native/recoveryservices/v20181220/outputs.py	recovery_point_id	polivbr/pulumi-azure-native	python	@property @pulumi.getter(name='recoveryPointId') def recovery_point_id(self) -> Optional[str]: '\n \n ' return pulumi.get(self, 'recovery_point_id')
@property @pulumi.getter(name='recoveryPointTime') def recovery_point_time(self) -> Optional[str]: '\n Recovery Point Time\n ' return pulumi.get(self, 'recovery_point_time')	-6,703,879,278,270,103,000	Recovery Point Time	sdk/python/pulumi_azure_native/recoveryservices/v20181220/outputs.py	recovery_point_time	polivbr/pulumi-azure-native	python	@property @pulumi.getter(name='recoveryPointTime') def recovery_point_time(self) -> Optional[str]: '\n \n ' return pulumi.get(self, 'recovery_point_time')
@property @pulumi.getter(name='resourceGroupName') def resource_group_name(self) -> Optional[str]: '\n Resource Group name of the source vault\n ' return pulumi.get(self, 'resource_group_name')	6,503,071,801,719,718,000	Resource Group name of the source vault	sdk/python/pulumi_azure_native/recoveryservices/v20181220/outputs.py	resource_group_name	polivbr/pulumi-azure-native	python	@property @pulumi.getter(name='resourceGroupName') def resource_group_name(self) -> Optional[str]: '\n \n ' return pulumi.get(self, 'resource_group_name')
@property @pulumi.getter(name='resourceId') def resource_id(self) -> Optional[str]: '\n Resource Id of the source vault\n ' return pulumi.get(self, 'resource_id')	9,163,903,248,834,838,000	Resource Id of the source vault	sdk/python/pulumi_azure_native/recoveryservices/v20181220/outputs.py	resource_id	polivbr/pulumi-azure-native	python	@property @pulumi.getter(name='resourceId') def resource_id(self) -> Optional[str]: '\n \n ' return pulumi.get(self, 'resource_id')
@property @pulumi.getter(name='resourceName') def resource_name(self) -> Optional[str]: '\n Resource Name of the source vault\n ' return pulumi.get(self, 'resource_name')	2,069,044,696,477,255,400	Resource Name of the source vault	sdk/python/pulumi_azure_native/recoveryservices/v20181220/outputs.py	resource_name	polivbr/pulumi-azure-native	python	@property @pulumi.getter(name='resourceName') def resource_name(self) -> Optional[str]: '\n \n ' return pulumi.get(self, 'resource_name')
@property @pulumi.getter(name='rpIsManagedVirtualMachine') def rp_is_managed_virtual_machine(self) -> Optional[bool]: '\n Recovery point information: Managed virtual machine\n ' return pulumi.get(self, 'rp_is_managed_virtual_machine')	4,476,595,934,361,092,000	Recovery point information: Managed virtual machine	sdk/python/pulumi_azure_native/recoveryservices/v20181220/outputs.py	rp_is_managed_virtual_machine	polivbr/pulumi-azure-native	python	@property @pulumi.getter(name='rpIsManagedVirtualMachine') def rp_is_managed_virtual_machine(self) -> Optional[bool]: '\n \n ' return pulumi.get(self, 'rp_is_managed_virtual_machine')
@property @pulumi.getter(name='rpOriginalSAOption') def rp_original_sa_option(self) -> Optional[bool]: '\n Recovery point information: Original SA option\n ' return pulumi.get(self, 'rp_original_sa_option')	419,153,740,887,226,500	Recovery point information: Original SA option	sdk/python/pulumi_azure_native/recoveryservices/v20181220/outputs.py	rp_original_sa_option	polivbr/pulumi-azure-native	python	@property @pulumi.getter(name='rpOriginalSAOption') def rp_original_sa_option(self) -> Optional[bool]: '\n \n ' return pulumi.get(self, 'rp_original_sa_option')
@property @pulumi.getter(name='rpTierInformation') def rp_tier_information(self) -> Optional[Mapping[(str, str)]]: '\n Recovery point Tier Information\n ' return pulumi.get(self, 'rp_tier_information')	-7,363,072,588,888,681,000	Recovery point Tier Information	sdk/python/pulumi_azure_native/recoveryservices/v20181220/outputs.py	rp_tier_information	polivbr/pulumi-azure-native	python	@property @pulumi.getter(name='rpTierInformation') def rp_tier_information(self) -> Optional[Mapping[(str, str)]]: '\n \n ' return pulumi.get(self, 'rp_tier_information')
@property @pulumi.getter(name='rpVMSizeDescription') def rp_vm_size_description(self) -> Optional[str]: '\n Recovery point information: VM size description\n ' return pulumi.get(self, 'rp_vm_size_description')	2,607,098,948,369,403,400	Recovery point information: VM size description	sdk/python/pulumi_azure_native/recoveryservices/v20181220/outputs.py	rp_vm_size_description	polivbr/pulumi-azure-native	python	@property @pulumi.getter(name='rpVMSizeDescription') def rp_vm_size_description(self) -> Optional[str]: '\n \n ' return pulumi.get(self, 'rp_vm_size_description')
@property @pulumi.getter(name='subscriptionId') def subscription_id(self) -> Optional[str]: '\n Subscription Id of the source vault\n ' return pulumi.get(self, 'subscription_id')	-2,701,085,146,683,017,700	Subscription Id of the source vault	sdk/python/pulumi_azure_native/recoveryservices/v20181220/outputs.py	subscription_id	polivbr/pulumi-azure-native	python	@property @pulumi.getter(name='subscriptionId') def subscription_id(self) -> Optional[str]: '\n \n ' return pulumi.get(self, 'subscription_id')
@property @pulumi.getter(name='tokenExtendedInformation') def token_extended_information(self) -> Optional[str]: '\n Extended Information about the token like FileSpec etc.\n ' return pulumi.get(self, 'token_extended_information')	-2,600,174,342,710,283,300	Extended Information about the token like FileSpec etc.	sdk/python/pulumi_azure_native/recoveryservices/v20181220/outputs.py	token_extended_information	polivbr/pulumi-azure-native	python	@property @pulumi.getter(name='tokenExtendedInformation') def token_extended_information(self) -> Optional[str]: '\n \n ' return pulumi.get(self, 'token_extended_information')
def test_annotations_from_different_days_in_same_month(self): '\n Test bucketing multiple annotations from different days of same month.\n\n Annotations from different days of the same month should go into one\n bucket.\n\n ' one_month_ago = (UTCNOW - datetime.timedelta(days=30)) annotations = [factories.Annotation(target_uri='http://example.com', updated=one_month_ago), factories.Annotation(target_uri='http://example.com', updated=(one_month_ago - datetime.timedelta(days=1))), factories.Annotation(target_uri='http://example.com', updated=(one_month_ago - datetime.timedelta(days=2)))] timeframes = bucketing.bucket(annotations) expected_bucket = bucketing.DocumentBucket(annotations[0].document) expected_bucket.update(annotations) assert (timeframes == [timeframe_with('Jan 1970', {annotations[0].document: expected_bucket})])	-8,370,902,393,722,710,000	Test bucketing multiple annotations from different days of same month. Annotations from different days of the same month should go into one bucket.	tests/h/activity/bucketing_test.py	test_annotations_from_different_days_in_same_month	y3g0r/h	python	def test_annotations_from_different_days_in_same_month(self): '\n Test bucketing multiple annotations from different days of same month.\n\n Annotations from different days of the same month should go into one\n bucket.\n\n ' one_month_ago = (UTCNOW - datetime.timedelta(days=30)) annotations = [factories.Annotation(target_uri='http://example.com', updated=one_month_ago), factories.Annotation(target_uri='http://example.com', updated=(one_month_ago - datetime.timedelta(days=1))), factories.Annotation(target_uri='http://example.com', updated=(one_month_ago - datetime.timedelta(days=2)))] timeframes = bucketing.bucket(annotations) expected_bucket = bucketing.DocumentBucket(annotations[0].document) expected_bucket.update(annotations) assert (timeframes == [timeframe_with('Jan 1970', {annotations[0].document: expected_bucket})])
def _vectorize_fs_surf(file_path): '\n Read surface information from a file and turn it into a vector.\n\n Parameters\n ----------\n file_path : str\n The path to a file with surface data.\n\n Returns\n -------\n vectorized_data : numpy.ndarray\n Extracted data.\n\n ' img = nb.load(file_path) in_data = img.get_fdata().squeeze() return in_data	4,618,926,693,309,100,000	Read surface information from a file and turn it into a vector. Parameters ---------- file_path : str The path to a file with surface data. Returns ------- vectorized_data : numpy.ndarray Extracted data.	camcan/utils/file_parsing.py	_vectorize_fs_surf	McIntosh-Lab-RRI/meg-mri-surrogate-biomarkers-aging-2020	python	def _vectorize_fs_surf(file_path): '\n Read surface information from a file and turn it into a vector.\n\n Parameters\n ----------\n file_path : str\n The path to a file with surface data.\n\n Returns\n -------\n vectorized_data : numpy.ndarray\n Extracted data.\n\n ' img = nb.load(file_path) in_data = img.get_fdata().squeeze() return in_data
def get_area(subject_dir, n_points): '\n Read area information for the given subject and turn it into a vector.\n\n Data for left and right hemispheres are concatenated.\n\n Parameters\n ----------\n subject_dir : str\n The directory to files with surface data.\n n_points : int\n Defines how many points to take from cortex surface.\n\n Returns\n -------\n : numpy.ndarray\n Extracted data.\n\n ' AREA_FILES = ('lh.area.mgh', 'rh.area.mgh') lh_data = _vectorize_fs_surf(join(subject_dir, AREA_FILES[0])) rh_data = _vectorize_fs_surf(join(subject_dir, AREA_FILES[1])) n_points = (n_points // 2) return np.concatenate((lh_data[:n_points], rh_data[:n_points]), 0)	875,535,619,154,462,000	Read area information for the given subject and turn it into a vector. Data for left and right hemispheres are concatenated. Parameters ---------- subject_dir : str The directory to files with surface data. n_points : int Defines how many points to take from cortex surface. Returns ------- : numpy.ndarray Extracted data.	camcan/utils/file_parsing.py	get_area	McIntosh-Lab-RRI/meg-mri-surrogate-biomarkers-aging-2020	python	def get_area(subject_dir, n_points): '\n Read area information for the given subject and turn it into a vector.\n\n Data for left and right hemispheres are concatenated.\n\n Parameters\n ----------\n subject_dir : str\n The directory to files with surface data.\n n_points : int\n Defines how many points to take from cortex surface.\n\n Returns\n -------\n : numpy.ndarray\n Extracted data.\n\n ' AREA_FILES = ('lh.area.mgh', 'rh.area.mgh') lh_data = _vectorize_fs_surf(join(subject_dir, AREA_FILES[0])) rh_data = _vectorize_fs_surf(join(subject_dir, AREA_FILES[1])) n_points = (n_points // 2) return np.concatenate((lh_data[:n_points], rh_data[:n_points]), 0)
def get_thickness(subject_dir, n_points): '\n Read thickness information for the given subject and turn it into a vector.\n\n Data for left and right hemispheres are concatenated.\n\n Parameters\n ----------\n subject_dir : str\n The directory to files with surface data.\n n_points : int\n Defines how many points to take from cortex surface.\n\n Returns\n -------\n : numpy.ndarray\n Extracted data.\n\n ' THICKNESS_FILES = ('rh.thickness.mgh', 'lh.thickness.mgh') lh_data = _vectorize_fs_surf(join(subject_dir, THICKNESS_FILES[0])) rh_data = _vectorize_fs_surf(join(subject_dir, THICKNESS_FILES[1])) n_points = (n_points // 2) return np.concatenate((lh_data[:n_points], rh_data[:n_points]), 0)	3,697,208,708,536,857,600	Read thickness information for the given subject and turn it into a vector. Data for left and right hemispheres are concatenated. Parameters ---------- subject_dir : str The directory to files with surface data. n_points : int Defines how many points to take from cortex surface. Returns ------- : numpy.ndarray Extracted data.	camcan/utils/file_parsing.py	get_thickness	McIntosh-Lab-RRI/meg-mri-surrogate-biomarkers-aging-2020	python	def get_thickness(subject_dir, n_points): '\n Read thickness information for the given subject and turn it into a vector.\n\n Data for left and right hemispheres are concatenated.\n\n Parameters\n ----------\n subject_dir : str\n The directory to files with surface data.\n n_points : int\n Defines how many points to take from cortex surface.\n\n Returns\n -------\n : numpy.ndarray\n Extracted data.\n\n ' THICKNESS_FILES = ('rh.thickness.mgh', 'lh.thickness.mgh') lh_data = _vectorize_fs_surf(join(subject_dir, THICKNESS_FILES[0])) rh_data = _vectorize_fs_surf(join(subject_dir, THICKNESS_FILES[1])) n_points = (n_points // 2) return np.concatenate((lh_data[:n_points], rh_data[:n_points]), 0)
def install(console: 'Console'=None, overflow: 'OverflowMethod'='ignore', crop: bool=False, indent_guides: bool=False, max_length: int=None, max_string: int=None, expand_all: bool=False) -> None: 'Install automatic pretty printing in the Python REPL.\n\n Args:\n console (Console, optional): Console instance or ``None`` to use global console. Defaults to None.\n overflow (Optional[OverflowMethod], optional): Overflow method. Defaults to "ignore".\n crop (Optional[bool], optional): Enable cropping of long lines. Defaults to False.\n indent_guides (bool, optional): Enable indentation guides. Defaults to False.\n max_length (int, optional): Maximum length of containers before abbreviating, or None for no abbreviation.\n Defaults to None.\n max_string (int, optional): Maximum length of string before truncating, or None to disable. Defaults to None.\n expand_all (bool, optional): Expand all containers. Defaults to False\n ' from rich import get_console from .console import ConsoleRenderable console = (console or get_console()) assert (console is not None) def display_hook(value: Any) -> None: 'Replacement sys.displayhook which prettifies objects with Rich.' if (value is not None): assert (console is not None) builtins._ = None console.print((value if isinstance(value, RichRenderable) else Pretty(value, overflow=overflow, indent_guides=indent_guides, max_length=max_length, max_string=max_string, expand_all=expand_all)), crop=crop) builtins._ = value def ipy_display_hook(value: Any) -> None: assert (console is not None) if (isinstance(value, JupyterRenderable) or (value is None)): return if (console.is_jupyter and any((attr.startswith('_repr_') for attr in dir(value)))): return if hasattr(value, '_repr_mimebundle_'): return if isinstance(value, ConsoleRenderable): console.line() console.print((value if isinstance(value, RichRenderable) else Pretty(value, overflow=overflow, indent_guides=indent_guides, max_length=max_length, max_string=max_string, expand_all=expand_all, margin=12)), crop=crop) try: ip = get_ipython() from IPython.core.formatters import BaseFormatter rich_formatter = BaseFormatter() rich_formatter.for_type(object, func=ipy_display_hook) ip.display_formatter.formatters['text/plain'] = rich_formatter except Exception: sys.displayhook = display_hook	1,714,336,521,467,081,200	Install automatic pretty printing in the Python REPL. Args: console (Console, optional): Console instance or ``None`` to use global console. Defaults to None. overflow (Optional[OverflowMethod], optional): Overflow method. Defaults to "ignore". crop (Optional[bool], optional): Enable cropping of long lines. Defaults to False. indent_guides (bool, optional): Enable indentation guides. Defaults to False. max_length (int, optional): Maximum length of containers before abbreviating, or None for no abbreviation. Defaults to None. max_string (int, optional): Maximum length of string before truncating, or None to disable. Defaults to None. expand_all (bool, optional): Expand all containers. Defaults to False	rich/pretty.py	install	AwesomeGitHubRepos/rich	python	def install(console: 'Console'=None, overflow: 'OverflowMethod'='ignore', crop: bool=False, indent_guides: bool=False, max_length: int=None, max_string: int=None, expand_all: bool=False) -> None: 'Install automatic pretty printing in the Python REPL.\n\n Args:\n console (Console, optional): Console instance or ``None`` to use global console. Defaults to None.\n overflow (Optional[OverflowMethod], optional): Overflow method. Defaults to "ignore".\n crop (Optional[bool], optional): Enable cropping of long lines. Defaults to False.\n indent_guides (bool, optional): Enable indentation guides. Defaults to False.\n max_length (int, optional): Maximum length of containers before abbreviating, or None for no abbreviation.\n Defaults to None.\n max_string (int, optional): Maximum length of string before truncating, or None to disable. Defaults to None.\n expand_all (bool, optional): Expand all containers. Defaults to False\n ' from rich import get_console from .console import ConsoleRenderable console = (console or get_console()) assert (console is not None) def display_hook(value: Any) -> None: 'Replacement sys.displayhook which prettifies objects with Rich.' if (value is not None): assert (console is not None) builtins._ = None console.print((value if isinstance(value, RichRenderable) else Pretty(value, overflow=overflow, indent_guides=indent_guides, max_length=max_length, max_string=max_string, expand_all=expand_all)), crop=crop) builtins._ = value def ipy_display_hook(value: Any) -> None: assert (console is not None) if (isinstance(value, JupyterRenderable) or (value is None)): return if (console.is_jupyter and any((attr.startswith('_repr_') for attr in dir(value)))): return if hasattr(value, '_repr_mimebundle_'): return if isinstance(value, ConsoleRenderable): console.line() console.print((value if isinstance(value, RichRenderable) else Pretty(value, overflow=overflow, indent_guides=indent_guides, max_length=max_length, max_string=max_string, expand_all=expand_all, margin=12)), crop=crop) try: ip = get_ipython() from IPython.core.formatters import BaseFormatter rich_formatter = BaseFormatter() rich_formatter.for_type(object, func=ipy_display_hook) ip.display_formatter.formatters['text/plain'] = rich_formatter except Exception: sys.displayhook = display_hook
def is_expandable(obj: Any) -> bool: 'Check if an object may be expanded by pretty print.' return (isinstance(obj, _CONTAINERS) or (is_dataclass(obj) and (not isinstance(obj, type))) or hasattr(obj, '__rich_repr__'))	-4,525,373,465,941,685,000	Check if an object may be expanded by pretty print.	rich/pretty.py	is_expandable	AwesomeGitHubRepos/rich	python	def is_expandable(obj: Any) -> bool: return (isinstance(obj, _CONTAINERS) or (is_dataclass(obj) and (not isinstance(obj, type))) or hasattr(obj, '__rich_repr__'))
def traverse(_object: Any, max_length: int=None, max_string: int=None) -> Node: 'Traverse object and generate a tree.\n\n Args:\n _object (Any): Object to be traversed.\n max_length (int, optional): Maximum length of containers before abbreviating, or None for no abbreviation.\n Defaults to None.\n max_string (int, optional): Maximum length of string before truncating, or None to disable truncating.\n Defaults to None.\n\n Returns:\n Node: The root of a tree structure which can be used to render a pretty repr.\n ' def to_repr(obj: Any) -> str: 'Get repr string for an object, but catch errors.' if ((max_string is not None) and isinstance(obj, (bytes, str)) and (len(obj) > max_string)): truncated = (len(obj) - max_string) obj_repr = f'{obj[:max_string]!r}+{truncated}' else: try: obj_repr = repr(obj) except Exception as error: obj_repr = f"<repr-error '{error}'>" return obj_repr visited_ids: Set[int] = set() push_visited = visited_ids.add pop_visited = visited_ids.remove def _traverse(obj: Any, root: bool=False) -> Node: 'Walk the object depth first.' obj_type = type(obj) py_version = (sys.version_info.major, sys.version_info.minor) children: List[Node] def iter_rich_args(rich_args) -> Iterable[Union[(Any, Tuple[(str, Any)])]]: for arg in rich_args: if isinstance(arg, tuple): if (len(arg) == 3): (key, child, default) = arg if (default == child): continue (yield (key, child)) elif (len(arg) == 2): (key, child) = arg (yield (key, child)) elif (len(arg) == 1): (yield arg[0]) else: (yield arg) if hasattr(obj, '__rich_repr__'): args = list(iter_rich_args(obj.__rich_repr__())) if args: children = [] append = children.append node = Node(open_brace=f'{obj.__class__.__name__}(', close_brace=')', children=children, last=root) for (last, arg) in loop_last(args): if isinstance(arg, tuple): (key, child) = arg child_node = _traverse(child) child_node.last = last child_node.key_repr = key child_node.last = last child_node.key_separator = '=' append(child_node) else: child_node = _traverse(arg) child_node.last = last append(child_node) else: node = Node(value_repr=f'{obj.__class__.__name__}()', children=[], last=root) elif (is_dataclass(obj) and (not isinstance(obj, type)) and (('__create_fn__' in obj.__repr__.__qualname__) or (py_version == (3, 6)))): obj_id = id(obj) if (obj_id in visited_ids): return Node(value_repr='...') push_visited(obj_id) children = [] append = children.append node = Node(open_brace=f'{obj.__class__.__name__}(', close_brace=')', children=children, last=root) for (last, field) in loop_last(fields(obj)): if field.repr: child_node = _traverse(getattr(obj, field.name)) child_node.key_repr = field.name child_node.last = last child_node.key_separator = '=' append(child_node) pop_visited(obj_id) elif (obj_type in _CONTAINERS): obj_id = id(obj) if (obj_id in visited_ids): return Node(value_repr='...') push_visited(obj_id) (open_brace, close_brace, empty) = _BRACES[obj_type](obj) if obj: children = [] node = Node(open_brace=open_brace, close_brace=close_brace, children=children, last=root) append = children.append num_items = len(obj) last_item_index = (num_items - 1) if isinstance(obj, _MAPPING_CONTAINERS): iter_items = iter(obj.items()) if (max_length is not None): iter_items = islice(iter_items, max_length) for (index, (key, child)) in enumerate(iter_items): child_node = _traverse(child) child_node.key_repr = to_repr(key) child_node.last = (index == last_item_index) append(child_node) else: iter_values = iter(obj) if (max_length is not None): iter_values = islice(iter_values, max_length) for (index, child) in enumerate(iter_values): child_node = _traverse(child) child_node.last = (index == last_item_index) append(child_node) if ((max_length is not None) and (num_items > max_length)): append(Node(value_repr=f'... +{(num_items - max_length)}', last=True)) else: node = Node(empty=empty, children=[], last=root) pop_visited(obj_id) else: node = Node(value_repr=to_repr(obj), last=root) node.is_tuple = isinstance(obj, tuple) return node node = _traverse(_object, root=True) return node	409,868,795,889,491,140	Traverse object and generate a tree. Args: _object (Any): Object to be traversed. max_length (int, optional): Maximum length of containers before abbreviating, or None for no abbreviation. Defaults to None. max_string (int, optional): Maximum length of string before truncating, or None to disable truncating. Defaults to None. Returns: Node: The root of a tree structure which can be used to render a pretty repr.	rich/pretty.py	traverse	AwesomeGitHubRepos/rich	python	def traverse(_object: Any, max_length: int=None, max_string: int=None) -> Node: 'Traverse object and generate a tree.\n\n Args:\n _object (Any): Object to be traversed.\n max_length (int, optional): Maximum length of containers before abbreviating, or None for no abbreviation.\n Defaults to None.\n max_string (int, optional): Maximum length of string before truncating, or None to disable truncating.\n Defaults to None.\n\n Returns:\n Node: The root of a tree structure which can be used to render a pretty repr.\n ' def to_repr(obj: Any) -> str: 'Get repr string for an object, but catch errors.' if ((max_string is not None) and isinstance(obj, (bytes, str)) and (len(obj) > max_string)): truncated = (len(obj) - max_string) obj_repr = f'{obj[:max_string]!r}+{truncated}' else: try: obj_repr = repr(obj) except Exception as error: obj_repr = f"<repr-error '{error}'>" return obj_repr visited_ids: Set[int] = set() push_visited = visited_ids.add pop_visited = visited_ids.remove def _traverse(obj: Any, root: bool=False) -> Node: 'Walk the object depth first.' obj_type = type(obj) py_version = (sys.version_info.major, sys.version_info.minor) children: List[Node] def iter_rich_args(rich_args) -> Iterable[Union[(Any, Tuple[(str, Any)])]]: for arg in rich_args: if isinstance(arg, tuple): if (len(arg) == 3): (key, child, default) = arg if (default == child): continue (yield (key, child)) elif (len(arg) == 2): (key, child) = arg (yield (key, child)) elif (len(arg) == 1): (yield arg[0]) else: (yield arg) if hasattr(obj, '__rich_repr__'): args = list(iter_rich_args(obj.__rich_repr__())) if args: children = [] append = children.append node = Node(open_brace=f'{obj.__class__.__name__}(', close_brace=')', children=children, last=root) for (last, arg) in loop_last(args): if isinstance(arg, tuple): (key, child) = arg child_node = _traverse(child) child_node.last = last child_node.key_repr = key child_node.last = last child_node.key_separator = '=' append(child_node) else: child_node = _traverse(arg) child_node.last = last append(child_node) else: node = Node(value_repr=f'{obj.__class__.__name__}()', children=[], last=root) elif (is_dataclass(obj) and (not isinstance(obj, type)) and (('__create_fn__' in obj.__repr__.__qualname__) or (py_version == (3, 6)))): obj_id = id(obj) if (obj_id in visited_ids): return Node(value_repr='...') push_visited(obj_id) children = [] append = children.append node = Node(open_brace=f'{obj.__class__.__name__}(', close_brace=')', children=children, last=root) for (last, field) in loop_last(fields(obj)): if field.repr: child_node = _traverse(getattr(obj, field.name)) child_node.key_repr = field.name child_node.last = last child_node.key_separator = '=' append(child_node) pop_visited(obj_id) elif (obj_type in _CONTAINERS): obj_id = id(obj) if (obj_id in visited_ids): return Node(value_repr='...') push_visited(obj_id) (open_brace, close_brace, empty) = _BRACES[obj_type](obj) if obj: children = [] node = Node(open_brace=open_brace, close_brace=close_brace, children=children, last=root) append = children.append num_items = len(obj) last_item_index = (num_items - 1) if isinstance(obj, _MAPPING_CONTAINERS): iter_items = iter(obj.items()) if (max_length is not None): iter_items = islice(iter_items, max_length) for (index, (key, child)) in enumerate(iter_items): child_node = _traverse(child) child_node.key_repr = to_repr(key) child_node.last = (index == last_item_index) append(child_node) else: iter_values = iter(obj) if (max_length is not None): iter_values = islice(iter_values, max_length) for (index, child) in enumerate(iter_values): child_node = _traverse(child) child_node.last = (index == last_item_index) append(child_node) if ((max_length is not None) and (num_items > max_length)): append(Node(value_repr=f'... +{(num_items - max_length)}', last=True)) else: node = Node(empty=empty, children=[], last=root) pop_visited(obj_id) else: node = Node(value_repr=to_repr(obj), last=root) node.is_tuple = isinstance(obj, tuple) return node node = _traverse(_object, root=True) return node
def pretty_repr(_object: Any, *, max_width: int=80, indent_size: int=4, max_length: int=None, max_string: int=None, expand_all: bool=False) -> str: 'Prettify repr string by expanding on to new lines to fit within a given width.\n\n Args:\n _object (Any): Object to repr.\n max_width (int, optional): Desired maximum width of repr string. Defaults to 80.\n indent_size (int, optional): Number of spaces to indent. Defaults to 4.\n max_length (int, optional): Maximum length of containers before abbreviating, or None for no abbreviation.\n Defaults to None.\n max_string (int, optional): Maximum length of string before truncating, or None to disable truncating.\n Defaults to None.\n expand_all (bool, optional): Expand all containers regardless of available width. Defaults to False.\n\n Returns:\n str: A possibly multi-line representation of the object.\n ' if isinstance(_object, Node): node = _object else: node = traverse(_object, max_length=max_length, max_string=max_string) repr_str = node.render(max_width=max_width, indent_size=indent_size, expand_all=expand_all) return repr_str	2,721,995,392,291,146,000	Prettify repr string by expanding on to new lines to fit within a given width. Args: _object (Any): Object to repr. max_width (int, optional): Desired maximum width of repr string. Defaults to 80. indent_size (int, optional): Number of spaces to indent. Defaults to 4. max_length (int, optional): Maximum length of containers before abbreviating, or None for no abbreviation. Defaults to None. max_string (int, optional): Maximum length of string before truncating, or None to disable truncating. Defaults to None. expand_all (bool, optional): Expand all containers regardless of available width. Defaults to False. Returns: str: A possibly multi-line representation of the object.	rich/pretty.py	pretty_repr	AwesomeGitHubRepos/rich	python	def pretty_repr(_object: Any, *, max_width: int=80, indent_size: int=4, max_length: int=None, max_string: int=None, expand_all: bool=False) -> str: 'Prettify repr string by expanding on to new lines to fit within a given width.\n\n Args:\n _object (Any): Object to repr.\n max_width (int, optional): Desired maximum width of repr string. Defaults to 80.\n indent_size (int, optional): Number of spaces to indent. Defaults to 4.\n max_length (int, optional): Maximum length of containers before abbreviating, or None for no abbreviation.\n Defaults to None.\n max_string (int, optional): Maximum length of string before truncating, or None to disable truncating.\n Defaults to None.\n expand_all (bool, optional): Expand all containers regardless of available width. Defaults to False.\n\n Returns:\n str: A possibly multi-line representation of the object.\n ' if isinstance(_object, Node): node = _object else: node = traverse(_object, max_length=max_length, max_string=max_string) repr_str = node.render(max_width=max_width, indent_size=indent_size, expand_all=expand_all) return repr_str
def pprint(_object: Any, *, console: 'Console'=None, indent_guides: bool=True, max_length: int=None, max_string: int=None, expand_all: bool=False): 'A convenience function for pretty printing.\n\n Args:\n _object (Any): Object to pretty print.\n console (Console, optional): Console instance, or None to use default. Defaults to None.\n max_length (int, optional): Maximum length of containers before abbreviating, or None for no abbreviation.\n Defaults to None.\n max_string (int, optional): Maximum length of strings before truncating, or None to disable. Defaults to None.\n indent_guides (bool, optional): Enable indentation guides. Defaults to True.\n expand_all (bool, optional): Expand all containers. Defaults to False.\n ' _console = (get_console() if (console is None) else console) _console.print(Pretty(_object, max_length=max_length, max_string=max_string, indent_guides=indent_guides, expand_all=expand_all, overflow='ignore'), soft_wrap=True)	-3,204,970,073,228,227,000	A convenience function for pretty printing. Args: _object (Any): Object to pretty print. console (Console, optional): Console instance, or None to use default. Defaults to None. max_length (int, optional): Maximum length of containers before abbreviating, or None for no abbreviation. Defaults to None. max_string (int, optional): Maximum length of strings before truncating, or None to disable. Defaults to None. indent_guides (bool, optional): Enable indentation guides. Defaults to True. expand_all (bool, optional): Expand all containers. Defaults to False.	rich/pretty.py	pprint	AwesomeGitHubRepos/rich	python	def pprint(_object: Any, *, console: 'Console'=None, indent_guides: bool=True, max_length: int=None, max_string: int=None, expand_all: bool=False): 'A convenience function for pretty printing.\n\n Args:\n _object (Any): Object to pretty print.\n console (Console, optional): Console instance, or None to use default. Defaults to None.\n max_length (int, optional): Maximum length of containers before abbreviating, or None for no abbreviation.\n Defaults to None.\n max_string (int, optional): Maximum length of strings before truncating, or None to disable. Defaults to None.\n indent_guides (bool, optional): Enable indentation guides. Defaults to True.\n expand_all (bool, optional): Expand all containers. Defaults to False.\n ' _console = (get_console() if (console is None) else console) _console.print(Pretty(_object, max_length=max_length, max_string=max_string, indent_guides=indent_guides, expand_all=expand_all, overflow='ignore'), soft_wrap=True)
def display_hook(value: Any) -> None: 'Replacement sys.displayhook which prettifies objects with Rich.' if (value is not None): assert (console is not None) builtins._ = None console.print((value if isinstance(value, RichRenderable) else Pretty(value, overflow=overflow, indent_guides=indent_guides, max_length=max_length, max_string=max_string, expand_all=expand_all)), crop=crop) builtins._ = value	5,662,142,656,217,169,000	Replacement sys.displayhook which prettifies objects with Rich.	rich/pretty.py	display_hook	AwesomeGitHubRepos/rich	python	def display_hook(value: Any) -> None: if (value is not None): assert (console is not None) builtins._ = None console.print((value if isinstance(value, RichRenderable) else Pretty(value, overflow=overflow, indent_guides=indent_guides, max_length=max_length, max_string=max_string, expand_all=expand_all)), crop=crop) builtins._ = value
@property def separator(self) -> str: 'Get separator between items.' return ('' if self.last else ',')	-510,098,352,722,682,800	Get separator between items.	rich/pretty.py	separator	AwesomeGitHubRepos/rich	python	@property def separator(self) -> str: return ( if self.last else ',')
def iter_tokens(self) -> Iterable[str]: 'Generate tokens for this node.' if self.key_repr: (yield self.key_repr) (yield self.key_separator) if self.value_repr: (yield self.value_repr) elif (self.children is not None): if self.children: (yield self.open_brace) if (self.is_tuple and (len(self.children) == 1)): (yield from self.children[0].iter_tokens()) (yield ',') else: for child in self.children: (yield from child.iter_tokens()) if (not child.last): (yield ', ') (yield self.close_brace) else: (yield self.empty)	-4,841,608,500,637,028,000	Generate tokens for this node.	rich/pretty.py	iter_tokens	AwesomeGitHubRepos/rich	python	def iter_tokens(self) -> Iterable[str]: if self.key_repr: (yield self.key_repr) (yield self.key_separator) if self.value_repr: (yield self.value_repr) elif (self.children is not None): if self.children: (yield self.open_brace) if (self.is_tuple and (len(self.children) == 1)): (yield from self.children[0].iter_tokens()) (yield ',') else: for child in self.children: (yield from child.iter_tokens()) if (not child.last): (yield ', ') (yield self.close_brace) else: (yield self.empty)
def check_length(self, start_length: int, max_length: int) -> bool: 'Check the length fits within a limit.\n\n Args:\n start_length (int): Starting length of the line (indent, prefix, suffix).\n max_length (int): Maximum length.\n\n Returns:\n bool: True if the node can be rendered within max length, otherwise False.\n ' total_length = start_length for token in self.iter_tokens(): total_length += cell_len(token) if (total_length > max_length): return False return True	483,627,482,119,508,100	Check the length fits within a limit. Args: start_length (int): Starting length of the line (indent, prefix, suffix). max_length (int): Maximum length. Returns: bool: True if the node can be rendered within max length, otherwise False.	rich/pretty.py	check_length	AwesomeGitHubRepos/rich	python	def check_length(self, start_length: int, max_length: int) -> bool: 'Check the length fits within a limit.\n\n Args:\n start_length (int): Starting length of the line (indent, prefix, suffix).\n max_length (int): Maximum length.\n\n Returns:\n bool: True if the node can be rendered within max length, otherwise False.\n ' total_length = start_length for token in self.iter_tokens(): total_length += cell_len(token) if (total_length > max_length): return False return True
def render(self, max_width: int=80, indent_size: int=4, expand_all: bool=False) -> str: 'Render the node to a pretty repr.\n\n Args:\n max_width (int, optional): Maximum width of the repr. Defaults to 80.\n indent_size (int, optional): Size of indents. Defaults to 4.\n expand_all (bool, optional): Expand all levels. Defaults to False.\n\n Returns:\n str: A repr string of the original object.\n ' lines = [_Line(node=self, is_root=True)] line_no = 0 while (line_no < len(lines)): line = lines[line_no] if (line.expandable and (not line.expanded)): if (expand_all or (not line.check_length(max_width))): lines[line_no:(line_no + 1)] = line.expand(indent_size) line_no += 1 repr_str = '\n'.join((str(line) for line in lines)) return repr_str	8,836,848,078,502,881,000	Render the node to a pretty repr. Args: max_width (int, optional): Maximum width of the repr. Defaults to 80. indent_size (int, optional): Size of indents. Defaults to 4. expand_all (bool, optional): Expand all levels. Defaults to False. Returns: str: A repr string of the original object.	rich/pretty.py	render	AwesomeGitHubRepos/rich	python	def render(self, max_width: int=80, indent_size: int=4, expand_all: bool=False) -> str: 'Render the node to a pretty repr.\n\n Args:\n max_width (int, optional): Maximum width of the repr. Defaults to 80.\n indent_size (int, optional): Size of indents. Defaults to 4.\n expand_all (bool, optional): Expand all levels. Defaults to False.\n\n Returns:\n str: A repr string of the original object.\n ' lines = [_Line(node=self, is_root=True)] line_no = 0 while (line_no < len(lines)): line = lines[line_no] if (line.expandable and (not line.expanded)): if (expand_all or (not line.check_length(max_width))): lines[line_no:(line_no + 1)] = line.expand(indent_size) line_no += 1 repr_str = '\n'.join((str(line) for line in lines)) return repr_str
@property def expandable(self) -> bool: 'Check if the line may be expanded.' return bool(((self.node is not None) and self.node.children))	2,772,350,312,093,809,700	Check if the line may be expanded.	rich/pretty.py	expandable	AwesomeGitHubRepos/rich	python	@property def expandable(self) -> bool: return bool(((self.node is not None) and self.node.children))
def check_length(self, max_length: int) -> bool: 'Check this line fits within a given number of cells.' start_length = ((len(self.whitespace) + cell_len(self.text)) + cell_len(self.suffix)) assert (self.node is not None) return self.node.check_length(start_length, max_length)	-7,080,534,599,622,596,000	Check this line fits within a given number of cells.	rich/pretty.py	check_length	AwesomeGitHubRepos/rich	python	def check_length(self, max_length: int) -> bool: start_length = ((len(self.whitespace) + cell_len(self.text)) + cell_len(self.suffix)) assert (self.node is not None) return self.node.check_length(start_length, max_length)
def expand(self, indent_size: int) -> Iterable['_Line']: 'Expand this line by adding children on their own line.' node = self.node assert (node is not None) whitespace = self.whitespace assert node.children if node.key_repr: (yield _Line(text=f'{node.key_repr}{node.key_separator}{node.open_brace}', whitespace=whitespace)) else: (yield _Line(text=node.open_brace, whitespace=whitespace)) child_whitespace = (self.whitespace + (' ' * indent_size)) tuple_of_one = (node.is_tuple and (len(node.children) == 1)) for child in node.children: separator = (',' if tuple_of_one else child.separator) line = _Line(node=child, whitespace=child_whitespace, suffix=separator) (yield line) (yield _Line(text=node.close_brace, whitespace=whitespace, suffix=(',' if (tuple_of_one and (not self.is_root)) else node.separator)))	1,438,312,576,603,205,600	Expand this line by adding children on their own line.	rich/pretty.py	expand	AwesomeGitHubRepos/rich	python	def expand(self, indent_size: int) -> Iterable['_Line']: node = self.node assert (node is not None) whitespace = self.whitespace assert node.children if node.key_repr: (yield _Line(text=f'{node.key_repr}{node.key_separator}{node.open_brace}', whitespace=whitespace)) else: (yield _Line(text=node.open_brace, whitespace=whitespace)) child_whitespace = (self.whitespace + (' ' * indent_size)) tuple_of_one = (node.is_tuple and (len(node.children) == 1)) for child in node.children: separator = (',' if tuple_of_one else child.separator) line = _Line(node=child, whitespace=child_whitespace, suffix=separator) (yield line) (yield _Line(text=node.close_brace, whitespace=whitespace, suffix=(',' if (tuple_of_one and (not self.is_root)) else node.separator)))
def to_repr(obj: Any) -> str: 'Get repr string for an object, but catch errors.' if ((max_string is not None) and isinstance(obj, (bytes, str)) and (len(obj) > max_string)): truncated = (len(obj) - max_string) obj_repr = f'{obj[:max_string]!r}+{truncated}' else: try: obj_repr = repr(obj) except Exception as error: obj_repr = f"<repr-error '{error}'>" return obj_repr	3,696,886,800,623,560,000	Get repr string for an object, but catch errors.	rich/pretty.py	to_repr	AwesomeGitHubRepos/rich	python	def to_repr(obj: Any) -> str: if ((max_string is not None) and isinstance(obj, (bytes, str)) and (len(obj) > max_string)): truncated = (len(obj) - max_string) obj_repr = f'{obj[:max_string]!r}+{truncated}' else: try: obj_repr = repr(obj) except Exception as error: obj_repr = f"<repr-error '{error}'>" return obj_repr
def _traverse(obj: Any, root: bool=False) -> Node: 'Walk the object depth first.' obj_type = type(obj) py_version = (sys.version_info.major, sys.version_info.minor) children: List[Node] def iter_rich_args(rich_args) -> Iterable[Union[(Any, Tuple[(str, Any)])]]: for arg in rich_args: if isinstance(arg, tuple): if (len(arg) == 3): (key, child, default) = arg if (default == child): continue (yield (key, child)) elif (len(arg) == 2): (key, child) = arg (yield (key, child)) elif (len(arg) == 1): (yield arg[0]) else: (yield arg) if hasattr(obj, '__rich_repr__'): args = list(iter_rich_args(obj.__rich_repr__())) if args: children = [] append = children.append node = Node(open_brace=f'{obj.__class__.__name__}(', close_brace=')', children=children, last=root) for (last, arg) in loop_last(args): if isinstance(arg, tuple): (key, child) = arg child_node = _traverse(child) child_node.last = last child_node.key_repr = key child_node.last = last child_node.key_separator = '=' append(child_node) else: child_node = _traverse(arg) child_node.last = last append(child_node) else: node = Node(value_repr=f'{obj.__class__.__name__}()', children=[], last=root) elif (is_dataclass(obj) and (not isinstance(obj, type)) and (('__create_fn__' in obj.__repr__.__qualname__) or (py_version == (3, 6)))): obj_id = id(obj) if (obj_id in visited_ids): return Node(value_repr='...') push_visited(obj_id) children = [] append = children.append node = Node(open_brace=f'{obj.__class__.__name__}(', close_brace=')', children=children, last=root) for (last, field) in loop_last(fields(obj)): if field.repr: child_node = _traverse(getattr(obj, field.name)) child_node.key_repr = field.name child_node.last = last child_node.key_separator = '=' append(child_node) pop_visited(obj_id) elif (obj_type in _CONTAINERS): obj_id = id(obj) if (obj_id in visited_ids): return Node(value_repr='...') push_visited(obj_id) (open_brace, close_brace, empty) = _BRACES[obj_type](obj) if obj: children = [] node = Node(open_brace=open_brace, close_brace=close_brace, children=children, last=root) append = children.append num_items = len(obj) last_item_index = (num_items - 1) if isinstance(obj, _MAPPING_CONTAINERS): iter_items = iter(obj.items()) if (max_length is not None): iter_items = islice(iter_items, max_length) for (index, (key, child)) in enumerate(iter_items): child_node = _traverse(child) child_node.key_repr = to_repr(key) child_node.last = (index == last_item_index) append(child_node) else: iter_values = iter(obj) if (max_length is not None): iter_values = islice(iter_values, max_length) for (index, child) in enumerate(iter_values): child_node = _traverse(child) child_node.last = (index == last_item_index) append(child_node) if ((max_length is not None) and (num_items > max_length)): append(Node(value_repr=f'... +{(num_items - max_length)}', last=True)) else: node = Node(empty=empty, children=[], last=root) pop_visited(obj_id) else: node = Node(value_repr=to_repr(obj), last=root) node.is_tuple = isinstance(obj, tuple) return node	-790,671,804,754,902,500	Walk the object depth first.	rich/pretty.py	_traverse	AwesomeGitHubRepos/rich	python	def _traverse(obj: Any, root: bool=False) -> Node: obj_type = type(obj) py_version = (sys.version_info.major, sys.version_info.minor) children: List[Node] def iter_rich_args(rich_args) -> Iterable[Union[(Any, Tuple[(str, Any)])]]: for arg in rich_args: if isinstance(arg, tuple): if (len(arg) == 3): (key, child, default) = arg if (default == child): continue (yield (key, child)) elif (len(arg) == 2): (key, child) = arg (yield (key, child)) elif (len(arg) == 1): (yield arg[0]) else: (yield arg) if hasattr(obj, '__rich_repr__'): args = list(iter_rich_args(obj.__rich_repr__())) if args: children = [] append = children.append node = Node(open_brace=f'{obj.__class__.__name__}(', close_brace=')', children=children, last=root) for (last, arg) in loop_last(args): if isinstance(arg, tuple): (key, child) = arg child_node = _traverse(child) child_node.last = last child_node.key_repr = key child_node.last = last child_node.key_separator = '=' append(child_node) else: child_node = _traverse(arg) child_node.last = last append(child_node) else: node = Node(value_repr=f'{obj.__class__.__name__}()', children=[], last=root) elif (is_dataclass(obj) and (not isinstance(obj, type)) and (('__create_fn__' in obj.__repr__.__qualname__) or (py_version == (3, 6)))): obj_id = id(obj) if (obj_id in visited_ids): return Node(value_repr='...') push_visited(obj_id) children = [] append = children.append node = Node(open_brace=f'{obj.__class__.__name__}(', close_brace=')', children=children, last=root) for (last, field) in loop_last(fields(obj)): if field.repr: child_node = _traverse(getattr(obj, field.name)) child_node.key_repr = field.name child_node.last = last child_node.key_separator = '=' append(child_node) pop_visited(obj_id) elif (obj_type in _CONTAINERS): obj_id = id(obj) if (obj_id in visited_ids): return Node(value_repr='...') push_visited(obj_id) (open_brace, close_brace, empty) = _BRACES[obj_type](obj) if obj: children = [] node = Node(open_brace=open_brace, close_brace=close_brace, children=children, last=root) append = children.append num_items = len(obj) last_item_index = (num_items - 1) if isinstance(obj, _MAPPING_CONTAINERS): iter_items = iter(obj.items()) if (max_length is not None): iter_items = islice(iter_items, max_length) for (index, (key, child)) in enumerate(iter_items): child_node = _traverse(child) child_node.key_repr = to_repr(key) child_node.last = (index == last_item_index) append(child_node) else: iter_values = iter(obj) if (max_length is not None): iter_values = islice(iter_values, max_length) for (index, child) in enumerate(iter_values): child_node = _traverse(child) child_node.last = (index == last_item_index) append(child_node) if ((max_length is not None) and (num_items > max_length)): append(Node(value_repr=f'... +{(num_items - max_length)}', last=True)) else: node = Node(empty=empty, children=[], last=root) pop_visited(obj_id) else: node = Node(value_repr=to_repr(obj), last=root) node.is_tuple = isinstance(obj, tuple) return node
def acc_callback(data): 'Handle a (epoch, (x,y,z)) accelerometer tuple.' print('Epoch time: [{0}] - X: {1}, Y: {2}, Z: {3}'.format(data[0], *data[1]))	5,087,660,137,753,062,000	Handle a (epoch, (x,y,z)) accelerometer tuple.	examples/accelerometer.py	acc_callback	somacoder/pymetawear	python	def acc_callback(data): print('Epoch time: [{0}] - X: {1}, Y: {2}, Z: {3}'.format(data[0], *data[1]))
def __init__(self, id=None, entities=None, relationships=None): 'Creates EntitySet\n\n Args:\n id (str) : Unique identifier to associate with this instance\n\n entities (dict[str -> tuple(pd.DataFrame, str, str, dict[str -> Variable])]): dictionary of\n entities. Entries take the format\n {entity id -> (dataframe, id column, (time_index), (variable_types), (make_index))}.\n Note that time_index, variable_types and make_index are optional.\n\n relationships (list[(str, str, str, str)]): List of relationships\n between entities. List items are a tuple with the format\n (parent entity id, parent variable, child entity id, child variable).\n\n Example:\n\n .. code-block:: python\n\n entities = {\n "cards" : (card_df, "id"),\n "transactions" : (transactions_df, "id", "transaction_time")\n }\n\n relationships = [("cards", "id", "transactions", "card_id")]\n\n ft.EntitySet("my-entity-set", entities, relationships)\n ' self.id = id self.entity_dict = {} self.relationships = [] self.time_type = None entities = (entities or {}) relationships = (relationships or []) for entity in entities: df = entities[entity][0] index_column = entities[entity][1] time_index = None variable_types = None make_index = None if (len(entities[entity]) > 2): time_index = entities[entity][2] if (len(entities[entity]) > 3): variable_types = entities[entity][3] if (len(entities[entity]) > 4): make_index = entities[entity][4] self.entity_from_dataframe(entity_id=entity, dataframe=df, index=index_column, time_index=time_index, variable_types=variable_types, make_index=make_index) for relationship in relationships: parent_variable = self[relationship[0]][relationship[1]] child_variable = self[relationship[2]][relationship[3]] self.add_relationship(Relationship(parent_variable, child_variable)) self.reset_data_description()	-1,368,691,380,719,782,100	Creates EntitySet Args: id (str) : Unique identifier to associate with this instance entities (dict[str -> tuple(pd.DataFrame, str, str, dict[str -> Variable])]): dictionary of entities. Entries take the format {entity id -> (dataframe, id column, (time_index), (variable_types), (make_index))}. Note that time_index, variable_types and make_index are optional. relationships (list[(str, str, str, str)]): List of relationships between entities. List items are a tuple with the format (parent entity id, parent variable, child entity id, child variable). Example: .. code-block:: python entities = { "cards" : (card_df, "id"), "transactions" : (transactions_df, "id", "transaction_time") } relationships = [("cards", "id", "transactions", "card_id")] ft.EntitySet("my-entity-set", entities, relationships)	featuretools/entityset/entityset.py	__init__	esyyes/featuretools	python	def __init__(self, id=None, entities=None, relationships=None): 'Creates EntitySet\n\n Args:\n id (str) : Unique identifier to associate with this instance\n\n entities (dict[str -> tuple(pd.DataFrame, str, str, dict[str -> Variable])]): dictionary of\n entities. Entries take the format\n {entity id -> (dataframe, id column, (time_index), (variable_types), (make_index))}.\n Note that time_index, variable_types and make_index are optional.\n\n relationships (list[(str, str, str, str)]): List of relationships\n between entities. List items are a tuple with the format\n (parent entity id, parent variable, child entity id, child variable).\n\n Example:\n\n .. code-block:: python\n\n entities = {\n "cards" : (card_df, "id"),\n "transactions" : (transactions_df, "id", "transaction_time")\n }\n\n relationships = [("cards", "id", "transactions", "card_id")]\n\n ft.EntitySet("my-entity-set", entities, relationships)\n ' self.id = id self.entity_dict = {} self.relationships = [] self.time_type = None entities = (entities or {}) relationships = (relationships or []) for entity in entities: df = entities[entity][0] index_column = entities[entity][1] time_index = None variable_types = None make_index = None if (len(entities[entity]) > 2): time_index = entities[entity][2] if (len(entities[entity]) > 3): variable_types = entities[entity][3] if (len(entities[entity]) > 4): make_index = entities[entity][4] self.entity_from_dataframe(entity_id=entity, dataframe=df, index=index_column, time_index=time_index, variable_types=variable_types, make_index=make_index) for relationship in relationships: parent_variable = self[relationship[0]][relationship[1]] child_variable = self[relationship[2]][relationship[3]] self.add_relationship(Relationship(parent_variable, child_variable)) self.reset_data_description()
def __getitem__(self, entity_id): "Get entity instance from entityset\n\n Args:\n entity_id (str): Id of entity.\n\n Returns:\n :class:`.Entity` : Instance of entity. None if entity doesn't\n exist.\n " if (entity_id in self.entity_dict): return self.entity_dict[entity_id] name = (self.id or 'entity set') raise KeyError(('Entity %s does not exist in %s' % (entity_id, name)))	-8,613,951,347,133,830,000	Get entity instance from entityset Args: entity_id (str): Id of entity. Returns: :class:`.Entity` : Instance of entity. None if entity doesn't exist.	featuretools/entityset/entityset.py	__getitem__	esyyes/featuretools	python	def __getitem__(self, entity_id): "Get entity instance from entityset\n\n Args:\n entity_id (str): Id of entity.\n\n Returns:\n :class:`.Entity` : Instance of entity. None if entity doesn't\n exist.\n " if (entity_id in self.entity_dict): return self.entity_dict[entity_id] name = (self.id or 'entity set') raise KeyError(('Entity %s does not exist in %s' % (entity_id, name)))
@property def metadata(self): 'Returns the metadata for this EntitySet. The metadata will be recomputed if it does not exist.' if (self._data_description is None): description = serialize.entityset_to_description(self) self._data_description = deserialize.description_to_entityset(description) return self._data_description	2,329,052,244,132,161,000	Returns the metadata for this EntitySet. The metadata will be recomputed if it does not exist.	featuretools/entityset/entityset.py	metadata	esyyes/featuretools	python	@property def metadata(self): if (self._data_description is None): description = serialize.entityset_to_description(self) self._data_description = deserialize.description_to_entityset(description) return self._data_description
def to_pickle(self, path, compression=None, profile_name=None): "Write entityset in the pickle format, location specified by `path`.\n Path could be a local path or a S3 path.\n If writing to S3 a tar archive of files will be written.\n\n Args:\n path (str): location on disk to write to (will be created as a directory)\n compression (str) : Name of the compression to use. Possible values are: {'gzip', 'bz2', 'zip', 'xz', None}.\n profile_name (str) : Name of AWS profile to use, False to use an anonymous profile, or None.\n " serialize.write_data_description(self, path, format='pickle', compression=compression, profile_name=profile_name) return self	-4,309,487,455,700,205,000	Write entityset in the pickle format, location specified by `path`. Path could be a local path or a S3 path. If writing to S3 a tar archive of files will be written. Args: path (str): location on disk to write to (will be created as a directory) compression (str) : Name of the compression to use. Possible values are: {'gzip', 'bz2', 'zip', 'xz', None}. profile_name (str) : Name of AWS profile to use, False to use an anonymous profile, or None.	featuretools/entityset/entityset.py	to_pickle	esyyes/featuretools	python	def to_pickle(self, path, compression=None, profile_name=None): "Write entityset in the pickle format, location specified by `path`.\n Path could be a local path or a S3 path.\n If writing to S3 a tar archive of files will be written.\n\n Args:\n path (str): location on disk to write to (will be created as a directory)\n compression (str) : Name of the compression to use. Possible values are: {'gzip', 'bz2', 'zip', 'xz', None}.\n profile_name (str) : Name of AWS profile to use, False to use an anonymous profile, or None.\n " serialize.write_data_description(self, path, format='pickle', compression=compression, profile_name=profile_name) return self
def to_parquet(self, path, engine='auto', compression=None, profile_name=None): "Write entityset to disk in the parquet format, location specified by `path`.\n Path could be a local path or a S3 path.\n If writing to S3 a tar archive of files will be written.\n\n Args:\n path (str): location on disk to write to (will be created as a directory)\n engine (str) : Name of the engine to use. Possible values are: {'auto', 'pyarrow', 'fastparquet'}.\n compression (str) : Name of the compression to use. Possible values are: {'snappy', 'gzip', 'brotli', None}.\n profile_name (str) : Name of AWS profile to use, False to use an anonymous profile, or None.\n " serialize.write_data_description(self, path, format='parquet', engine=engine, compression=compression, profile_name=profile_name) return self	3,628,453,575,138,724,400	Write entityset to disk in the parquet format, location specified by `path`. Path could be a local path or a S3 path. If writing to S3 a tar archive of files will be written. Args: path (str): location on disk to write to (will be created as a directory) engine (str) : Name of the engine to use. Possible values are: {'auto', 'pyarrow', 'fastparquet'}. compression (str) : Name of the compression to use. Possible values are: {'snappy', 'gzip', 'brotli', None}. profile_name (str) : Name of AWS profile to use, False to use an anonymous profile, or None.	featuretools/entityset/entityset.py	to_parquet	esyyes/featuretools	python	def to_parquet(self, path, engine='auto', compression=None, profile_name=None): "Write entityset to disk in the parquet format, location specified by `path`.\n Path could be a local path or a S3 path.\n If writing to S3 a tar archive of files will be written.\n\n Args:\n path (str): location on disk to write to (will be created as a directory)\n engine (str) : Name of the engine to use. Possible values are: {'auto', 'pyarrow', 'fastparquet'}.\n compression (str) : Name of the compression to use. Possible values are: {'snappy', 'gzip', 'brotli', None}.\n profile_name (str) : Name of AWS profile to use, False to use an anonymous profile, or None.\n " serialize.write_data_description(self, path, format='parquet', engine=engine, compression=compression, profile_name=profile_name) return self
def to_csv(self, path, sep=',', encoding='utf-8', engine='python', compression=None, profile_name=None): "Write entityset to disk in the csv format, location specified by `path`.\n Path could be a local path or a S3 path.\n If writing to S3 a tar archive of files will be written.\n\n Args:\n path (str) : Location on disk to write to (will be created as a directory)\n sep (str) : String of length 1. Field delimiter for the output file.\n encoding (str) : A string representing the encoding to use in the output file, defaults to 'utf-8'.\n engine (str) : Name of the engine to use. Possible values are: {'c', 'python'}.\n compression (str) : Name of the compression to use. Possible values are: {'gzip', 'bz2', 'zip', 'xz', None}.\n profile_name (str) : Name of AWS profile to use, False to use an anonymous profile, or None.\n " serialize.write_data_description(self, path, format='csv', index=False, sep=sep, encoding=encoding, engine=engine, compression=compression, profile_name=profile_name) return self	-8,410,592,308,300,280,000	Write entityset to disk in the csv format, location specified by `path`. Path could be a local path or a S3 path. If writing to S3 a tar archive of files will be written. Args: path (str) : Location on disk to write to (will be created as a directory) sep (str) : String of length 1. Field delimiter for the output file. encoding (str) : A string representing the encoding to use in the output file, defaults to 'utf-8'. engine (str) : Name of the engine to use. Possible values are: {'c', 'python'}. compression (str) : Name of the compression to use. Possible values are: {'gzip', 'bz2', 'zip', 'xz', None}. profile_name (str) : Name of AWS profile to use, False to use an anonymous profile, or None.	featuretools/entityset/entityset.py	to_csv	esyyes/featuretools	python	def to_csv(self, path, sep=',', encoding='utf-8', engine='python', compression=None, profile_name=None): "Write entityset to disk in the csv format, location specified by `path`.\n Path could be a local path or a S3 path.\n If writing to S3 a tar archive of files will be written.\n\n Args:\n path (str) : Location on disk to write to (will be created as a directory)\n sep (str) : String of length 1. Field delimiter for the output file.\n encoding (str) : A string representing the encoding to use in the output file, defaults to 'utf-8'.\n engine (str) : Name of the engine to use. Possible values are: {'c', 'python'}.\n compression (str) : Name of the compression to use. Possible values are: {'gzip', 'bz2', 'zip', 'xz', None}.\n profile_name (str) : Name of AWS profile to use, False to use an anonymous profile, or None.\n " serialize.write_data_description(self, path, format='csv', index=False, sep=sep, encoding=encoding, engine=engine, compression=compression, profile_name=profile_name) return self
def add_relationships(self, relationships): 'Add multiple new relationships to a entityset\n\n Args:\n relationships (list[Relationship]) : List of new\n relationships.\n ' return [self.add_relationship(r) for r in relationships][(- 1)]	4,356,438,905,869,493,000	Add multiple new relationships to a entityset Args: relationships (list[Relationship]) : List of new relationships.	featuretools/entityset/entityset.py	add_relationships	esyyes/featuretools	python	def add_relationships(self, relationships): 'Add multiple new relationships to a entityset\n\n Args:\n relationships (list[Relationship]) : List of new\n relationships.\n ' return [self.add_relationship(r) for r in relationships][(- 1)]
def add_relationship(self, relationship): 'Add a new relationship between entities in the entityset\n\n Args:\n relationship (Relationship) : Instance of new\n relationship to be added.\n ' if (relationship in self.relationships): logger.warning('Not adding duplicate relationship: %s', relationship) return self child_e = relationship.child_entity child_v = relationship.child_variable.id parent_e = relationship.parent_entity parent_v = relationship.parent_variable.id if (not isinstance(child_e[child_v], vtypes.Id)): child_e.convert_variable_type(variable_id=child_v, new_type=vtypes.Id, convert_data=False) if (not isinstance(parent_e[parent_v], vtypes.Index)): parent_e.convert_variable_type(variable_id=parent_v, new_type=vtypes.Index, convert_data=False) if (isinstance(child_e.df, pd.DataFrame) and (child_e.df.empty and (child_e.df[child_v].dtype == object) and is_numeric_dtype(parent_e.df[parent_v]))): child_e.df[child_v] = pd.Series(name=child_v, dtype=np.int64) parent_dtype = parent_e.df[parent_v].dtype child_dtype = child_e.df[child_v].dtype msg = u'Unable to add relationship because {} in {} is Pandas dtype {} and {} in {} is Pandas dtype {}.' if (not is_dtype_equal(parent_dtype, child_dtype)): raise ValueError(msg.format(parent_v, parent_e.id, parent_dtype, child_v, child_e.id, child_dtype)) self.relationships.append(relationship) self.reset_data_description() return self	-3,799,316,593,027,928,600	Add a new relationship between entities in the entityset Args: relationship (Relationship) : Instance of new relationship to be added.	featuretools/entityset/entityset.py	add_relationship	esyyes/featuretools	python	def add_relationship(self, relationship): 'Add a new relationship between entities in the entityset\n\n Args:\n relationship (Relationship) : Instance of new\n relationship to be added.\n ' if (relationship in self.relationships): logger.warning('Not adding duplicate relationship: %s', relationship) return self child_e = relationship.child_entity child_v = relationship.child_variable.id parent_e = relationship.parent_entity parent_v = relationship.parent_variable.id if (not isinstance(child_e[child_v], vtypes.Id)): child_e.convert_variable_type(variable_id=child_v, new_type=vtypes.Id, convert_data=False) if (not isinstance(parent_e[parent_v], vtypes.Index)): parent_e.convert_variable_type(variable_id=parent_v, new_type=vtypes.Index, convert_data=False) if (isinstance(child_e.df, pd.DataFrame) and (child_e.df.empty and (child_e.df[child_v].dtype == object) and is_numeric_dtype(parent_e.df[parent_v]))): child_e.df[child_v] = pd.Series(name=child_v, dtype=np.int64) parent_dtype = parent_e.df[parent_v].dtype child_dtype = child_e.df[child_v].dtype msg = u'Unable to add relationship because {} in {} is Pandas dtype {} and {} in {} is Pandas dtype {}.' if (not is_dtype_equal(parent_dtype, child_dtype)): raise ValueError(msg.format(parent_v, parent_e.id, parent_dtype, child_v, child_e.id, child_dtype)) self.relationships.append(relationship) self.reset_data_description() return self
def find_forward_paths(self, start_entity_id, goal_entity_id): '\n Generator which yields all forward paths between a start and goal\n entity. Does not include paths which contain cycles.\n\n Args:\n start_entity_id (str) : id of entity to start the search from\n goal_entity_id (str) : if of entity to find forward path to\n\n See Also:\n :func:`BaseEntitySet.find_backward_paths`\n ' for (sub_entity_id, path) in self._forward_entity_paths(start_entity_id): if (sub_entity_id == goal_entity_id): (yield path)	-9,188,505,344,688,811,000	Generator which yields all forward paths between a start and goal entity. Does not include paths which contain cycles. Args: start_entity_id (str) : id of entity to start the search from goal_entity_id (str) : if of entity to find forward path to See Also: :func:`BaseEntitySet.find_backward_paths`	featuretools/entityset/entityset.py	find_forward_paths	esyyes/featuretools	python	def find_forward_paths(self, start_entity_id, goal_entity_id): '\n Generator which yields all forward paths between a start and goal\n entity. Does not include paths which contain cycles.\n\n Args:\n start_entity_id (str) : id of entity to start the search from\n goal_entity_id (str) : if of entity to find forward path to\n\n See Also:\n :func:`BaseEntitySet.find_backward_paths`\n ' for (sub_entity_id, path) in self._forward_entity_paths(start_entity_id): if (sub_entity_id == goal_entity_id): (yield path)
def find_backward_paths(self, start_entity_id, goal_entity_id): '\n Generator which yields all backward paths between a start and goal\n entity. Does not include paths which contain cycles.\n\n Args:\n start_entity_id (str) : Id of entity to start the search from.\n goal_entity_id (str) : Id of entity to find backward path to.\n\n See Also:\n :func:`BaseEntitySet.find_forward_paths`\n ' for path in self.find_forward_paths(goal_entity_id, start_entity_id): (yield path[::(- 1)])	-314,726,679,646,812,200	Generator which yields all backward paths between a start and goal entity. Does not include paths which contain cycles. Args: start_entity_id (str) : Id of entity to start the search from. goal_entity_id (str) : Id of entity to find backward path to. See Also: :func:`BaseEntitySet.find_forward_paths`	featuretools/entityset/entityset.py	find_backward_paths	esyyes/featuretools	python	def find_backward_paths(self, start_entity_id, goal_entity_id): '\n Generator which yields all backward paths between a start and goal\n entity. Does not include paths which contain cycles.\n\n Args:\n start_entity_id (str) : Id of entity to start the search from.\n goal_entity_id (str) : Id of entity to find backward path to.\n\n See Also:\n :func:`BaseEntitySet.find_forward_paths`\n ' for path in self.find_forward_paths(goal_entity_id, start_entity_id): (yield path[::(- 1)])
def _forward_entity_paths(self, start_entity_id, seen_entities=None): '\n Generator which yields the ids of all entities connected through forward\n relationships, and the path taken to each. An entity will be yielded\n multiple times if there are multiple paths to it.\n\n Implemented using depth first search.\n ' if (seen_entities is None): seen_entities = set() if (start_entity_id in seen_entities): return seen_entities.add(start_entity_id) (yield (start_entity_id, [])) for relationship in self.get_forward_relationships(start_entity_id): next_entity = relationship.parent_entity.id descendants = self._forward_entity_paths(next_entity, seen_entities.copy()) for (sub_entity_id, sub_path) in descendants: (yield (sub_entity_id, ([relationship] + sub_path)))	5,306,262,630,658,995,000	Generator which yields the ids of all entities connected through forward relationships, and the path taken to each. An entity will be yielded multiple times if there are multiple paths to it. Implemented using depth first search.	featuretools/entityset/entityset.py	_forward_entity_paths	esyyes/featuretools	python	def _forward_entity_paths(self, start_entity_id, seen_entities=None): '\n Generator which yields the ids of all entities connected through forward\n relationships, and the path taken to each. An entity will be yielded\n multiple times if there are multiple paths to it.\n\n Implemented using depth first search.\n ' if (seen_entities is None): seen_entities = set() if (start_entity_id in seen_entities): return seen_entities.add(start_entity_id) (yield (start_entity_id, [])) for relationship in self.get_forward_relationships(start_entity_id): next_entity = relationship.parent_entity.id descendants = self._forward_entity_paths(next_entity, seen_entities.copy()) for (sub_entity_id, sub_path) in descendants: (yield (sub_entity_id, ([relationship] + sub_path)))
def get_forward_entities(self, entity_id, deep=False): '\n Get entities that are in a forward relationship with entity\n\n Args:\n entity_id (str): Id entity of entity to search from.\n deep (bool): if True, recursively find forward entities.\n\n Yields a tuple of (descendent_id, path from entity_id to descendant).\n ' for relationship in self.get_forward_relationships(entity_id): parent_eid = relationship.parent_entity.id direct_path = RelationshipPath([(True, relationship)]) (yield (parent_eid, direct_path)) if deep: sub_entities = self.get_forward_entities(parent_eid, deep=True) for (sub_eid, path) in sub_entities: (yield (sub_eid, (direct_path + path)))	-881,607,600,788,329,200	Get entities that are in a forward relationship with entity Args: entity_id (str): Id entity of entity to search from. deep (bool): if True, recursively find forward entities. Yields a tuple of (descendent_id, path from entity_id to descendant).	featuretools/entityset/entityset.py	get_forward_entities	esyyes/featuretools	python	def get_forward_entities(self, entity_id, deep=False): '\n Get entities that are in a forward relationship with entity\n\n Args:\n entity_id (str): Id entity of entity to search from.\n deep (bool): if True, recursively find forward entities.\n\n Yields a tuple of (descendent_id, path from entity_id to descendant).\n ' for relationship in self.get_forward_relationships(entity_id): parent_eid = relationship.parent_entity.id direct_path = RelationshipPath([(True, relationship)]) (yield (parent_eid, direct_path)) if deep: sub_entities = self.get_forward_entities(parent_eid, deep=True) for (sub_eid, path) in sub_entities: (yield (sub_eid, (direct_path + path)))
def get_backward_entities(self, entity_id, deep=False): '\n Get entities that are in a backward relationship with entity\n\n Args:\n entity_id (str): Id entity of entity to search from.\n deep (bool): if True, recursively find backward entities.\n\n Yields a tuple of (descendent_id, path from entity_id to descendant).\n ' for relationship in self.get_backward_relationships(entity_id): child_eid = relationship.child_entity.id direct_path = RelationshipPath([(False, relationship)]) (yield (child_eid, direct_path)) if deep: sub_entities = self.get_backward_entities(child_eid, deep=True) for (sub_eid, path) in sub_entities: (yield (sub_eid, (direct_path + path)))	5,684,187,746,167,879,000	Get entities that are in a backward relationship with entity Args: entity_id (str): Id entity of entity to search from. deep (bool): if True, recursively find backward entities. Yields a tuple of (descendent_id, path from entity_id to descendant).	featuretools/entityset/entityset.py	get_backward_entities	esyyes/featuretools	python	def get_backward_entities(self, entity_id, deep=False): '\n Get entities that are in a backward relationship with entity\n\n Args:\n entity_id (str): Id entity of entity to search from.\n deep (bool): if True, recursively find backward entities.\n\n Yields a tuple of (descendent_id, path from entity_id to descendant).\n ' for relationship in self.get_backward_relationships(entity_id): child_eid = relationship.child_entity.id direct_path = RelationshipPath([(False, relationship)]) (yield (child_eid, direct_path)) if deep: sub_entities = self.get_backward_entities(child_eid, deep=True) for (sub_eid, path) in sub_entities: (yield (sub_eid, (direct_path + path)))
def get_forward_relationships(self, entity_id): 'Get relationships where entity "entity_id" is the child\n\n Args:\n entity_id (str): Id of entity to get relationships for.\n\n Returns:\n list[:class:`.Relationship`]: List of forward relationships.\n ' return [r for r in self.relationships if (r.child_entity.id == entity_id)]	2,507,399,250,776,865,300	Get relationships where entity "entity_id" is the child Args: entity_id (str): Id of entity to get relationships for. Returns: list[:class:`.Relationship`]: List of forward relationships.	featuretools/entityset/entityset.py	get_forward_relationships	esyyes/featuretools	python	def get_forward_relationships(self, entity_id): 'Get relationships where entity "entity_id" is the child\n\n Args:\n entity_id (str): Id of entity to get relationships for.\n\n Returns:\n list[:class:`.Relationship`]: List of forward relationships.\n ' return [r for r in self.relationships if (r.child_entity.id == entity_id)]
def get_backward_relationships(self, entity_id): '\n get relationships where entity "entity_id" is the parent.\n\n Args:\n entity_id (str): Id of entity to get relationships for.\n\n Returns:\n list[:class:`.Relationship`]: list of backward relationships\n ' return [r for r in self.relationships if (r.parent_entity.id == entity_id)]	8,382,441,608,153,034,000	get relationships where entity "entity_id" is the parent. Args: entity_id (str): Id of entity to get relationships for. Returns: list[:class:`.Relationship`]: list of backward relationships	featuretools/entityset/entityset.py	get_backward_relationships	esyyes/featuretools	python	def get_backward_relationships(self, entity_id): '\n get relationships where entity "entity_id" is the parent.\n\n Args:\n entity_id (str): Id of entity to get relationships for.\n\n Returns:\n list[:class:`.Relationship`]: list of backward relationships\n ' return [r for r in self.relationships if (r.parent_entity.id == entity_id)]
def has_unique_forward_path(self, start_entity_id, end_entity_id): '\n Is the forward path from start to end unique?\n\n This will raise if there is no such path.\n ' paths = self.find_forward_paths(start_entity_id, end_entity_id) next(paths) second_path = next(paths, None) return (not second_path)	-7,897,458,644,928,172,000	Is the forward path from start to end unique? This will raise if there is no such path.	featuretools/entityset/entityset.py	has_unique_forward_path	esyyes/featuretools	python	def has_unique_forward_path(self, start_entity_id, end_entity_id): '\n Is the forward path from start to end unique?\n\n This will raise if there is no such path.\n ' paths = self.find_forward_paths(start_entity_id, end_entity_id) next(paths) second_path = next(paths, None) return (not second_path)
def entity_from_dataframe(self, entity_id, dataframe, index=None, variable_types=None, make_index=False, time_index=None, secondary_time_index=None, already_sorted=False): '\n Load the data for a specified entity from a Pandas DataFrame.\n\n Args:\n entity_id (str) : Unique id to associate with this entity.\n\n dataframe (pandas.DataFrame) : Dataframe containing the data.\n\n index (str, optional): Name of the variable used to index the entity.\n If None, take the first column.\n\n variable_types (dict[str -> Variable/str], optional):\n Keys are of variable ids and values are variable types or type_strings. Used to to\n initialize an entity\'s store.\n\n make_index (bool, optional) : If True, assume index does not\n exist as a column in dataframe, and create a new column of that name\n using integers. Otherwise, assume index exists.\n\n time_index (str, optional): Name of the variable containing\n time data. Type must be in :class:`variables.DateTime` or be\n able to be cast to datetime (e.g. str, float, or numeric.)\n\n secondary_time_index (dict[str -> Variable]): Name of variable\n containing time data to use a second time index for the entity.\n\n already_sorted (bool, optional) : If True, assumes that input dataframe\n is already sorted by time. Defaults to False.\n\n Notes:\n\n Will infer variable types from Pandas dtype\n\n Example:\n .. ipython:: python\n\n import featuretools as ft\n import pandas as pd\n transactions_df = pd.DataFrame({"id": [1, 2, 3, 4, 5, 6],\n "session_id": [1, 2, 1, 3, 4, 5],\n "amount": [100.40, 20.63, 33.32, 13.12, 67.22, 1.00],\n "transaction_time": pd.date_range(start="10:00", periods=6, freq="10s"),\n "fraud": [True, False, True, False, True, True]})\n es = ft.EntitySet("example")\n es.entity_from_dataframe(entity_id="transactions",\n index="id",\n time_index="transaction_time",\n dataframe=transactions_df)\n\n es["transactions"]\n es["transactions"].df\n\n ' variable_types = (variable_types or {}) if ((time_index is not None) and (time_index == index)): raise ValueError(('time_index and index cannot be the same value, %s' % time_index)) if (time_index is None): for (variable, variable_type) in variable_types.items(): if (variable_type == vtypes.DatetimeTimeIndex): raise ValueError(('DatetimeTimeIndex variable %s must be set using time_index parameter' % variable)) if (len(self.entities) > 0): if (not isinstance(dataframe, type(self.entities[0].df))): raise ValueError('All entity dataframes must be of the same type. Cannot add entity of type {} to an entityset with existing entities of type {}'.format(type(dataframe), type(self.entities[0].df))) entity = Entity(entity_id, dataframe, self, variable_types=variable_types, index=index, time_index=time_index, secondary_time_index=secondary_time_index, already_sorted=already_sorted, make_index=make_index) self.entity_dict[entity.id] = entity self.reset_data_description() return self	-5,908,476,662,970,882,000	Load the data for a specified entity from a Pandas DataFrame. Args: entity_id (str) : Unique id to associate with this entity. dataframe (pandas.DataFrame) : Dataframe containing the data. index (str, optional): Name of the variable used to index the entity. If None, take the first column. variable_types (dict[str -> Variable/str], optional): Keys are of variable ids and values are variable types or type_strings. Used to to initialize an entity's store. make_index (bool, optional) : If True, assume index does not exist as a column in dataframe, and create a new column of that name using integers. Otherwise, assume index exists. time_index (str, optional): Name of the variable containing time data. Type must be in :class:`variables.DateTime` or be able to be cast to datetime (e.g. str, float, or numeric.) secondary_time_index (dict[str -> Variable]): Name of variable containing time data to use a second time index for the entity. already_sorted (bool, optional) : If True, assumes that input dataframe is already sorted by time. Defaults to False. Notes: Will infer variable types from Pandas dtype Example: .. ipython:: python import featuretools as ft import pandas as pd transactions_df = pd.DataFrame({"id": [1, 2, 3, 4, 5, 6], "session_id": [1, 2, 1, 3, 4, 5], "amount": [100.40, 20.63, 33.32, 13.12, 67.22, 1.00], "transaction_time": pd.date_range(start="10:00", periods=6, freq="10s"), "fraud": [True, False, True, False, True, True]}) es = ft.EntitySet("example") es.entity_from_dataframe(entity_id="transactions", index="id", time_index="transaction_time", dataframe=transactions_df) es["transactions"] es["transactions"].df	featuretools/entityset/entityset.py	entity_from_dataframe	esyyes/featuretools	python	def entity_from_dataframe(self, entity_id, dataframe, index=None, variable_types=None, make_index=False, time_index=None, secondary_time_index=None, already_sorted=False): '\n Load the data for a specified entity from a Pandas DataFrame.\n\n Args:\n entity_id (str) : Unique id to associate with this entity.\n\n dataframe (pandas.DataFrame) : Dataframe containing the data.\n\n index (str, optional): Name of the variable used to index the entity.\n If None, take the first column.\n\n variable_types (dict[str -> Variable/str], optional):\n Keys are of variable ids and values are variable types or type_strings. Used to to\n initialize an entity\'s store.\n\n make_index (bool, optional) : If True, assume index does not\n exist as a column in dataframe, and create a new column of that name\n using integers. Otherwise, assume index exists.\n\n time_index (str, optional): Name of the variable containing\n time data. Type must be in :class:`variables.DateTime` or be\n able to be cast to datetime (e.g. str, float, or numeric.)\n\n secondary_time_index (dict[str -> Variable]): Name of variable\n containing time data to use a second time index for the entity.\n\n already_sorted (bool, optional) : If True, assumes that input dataframe\n is already sorted by time. Defaults to False.\n\n Notes:\n\n Will infer variable types from Pandas dtype\n\n Example:\n .. ipython:: python\n\n import featuretools as ft\n import pandas as pd\n transactions_df = pd.DataFrame({"id": [1, 2, 3, 4, 5, 6],\n "session_id": [1, 2, 1, 3, 4, 5],\n "amount": [100.40, 20.63, 33.32, 13.12, 67.22, 1.00],\n "transaction_time": pd.date_range(start="10:00", periods=6, freq="10s"),\n "fraud": [True, False, True, False, True, True]})\n es = ft.EntitySet("example")\n es.entity_from_dataframe(entity_id="transactions",\n index="id",\n time_index="transaction_time",\n dataframe=transactions_df)\n\n es["transactions"]\n es["transactions"].df\n\n ' variable_types = (variable_types or {}) if ((time_index is not None) and (time_index == index)): raise ValueError(('time_index and index cannot be the same value, %s' % time_index)) if (time_index is None): for (variable, variable_type) in variable_types.items(): if (variable_type == vtypes.DatetimeTimeIndex): raise ValueError(('DatetimeTimeIndex variable %s must be set using time_index parameter' % variable)) if (len(self.entities) > 0): if (not isinstance(dataframe, type(self.entities[0].df))): raise ValueError('All entity dataframes must be of the same type. Cannot add entity of type {} to an entityset with existing entities of type {}'.format(type(dataframe), type(self.entities[0].df))) entity = Entity(entity_id, dataframe, self, variable_types=variable_types, index=index, time_index=time_index, secondary_time_index=secondary_time_index, already_sorted=already_sorted, make_index=make_index) self.entity_dict[entity.id] = entity self.reset_data_description() return self
def normalize_entity(self, base_entity_id, new_entity_id, index, additional_variables=None, copy_variables=None, make_time_index=None, make_secondary_time_index=None, new_entity_time_index=None, new_entity_secondary_time_index=None): 'Create a new entity and relationship from unique values of an existing variable.\n\n Args:\n base_entity_id (str) : Entity id from which to split.\n\n new_entity_id (str): Id of the new entity.\n\n index (str): Variable in old entity\n that will become index of new entity. Relationship\n will be created across this variable.\n\n additional_variables (list[str]):\n List of variable ids to remove from\n base_entity and move to new entity.\n\n copy_variables (list[str]): List of\n variable ids to copy from old entity\n and move to new entity.\n\n make_time_index (bool or str, optional): Create time index for new entity based\n on time index in base_entity, optionally specifying which variable in base_entity\n to use for time_index. If specified as True without a specific variable,\n uses the primary time index. Defaults to True if base entity has a time index.\n\n make_secondary_time_index (dict[str -> list[str]], optional): Create a secondary time index\n from key. Values of dictionary\n are the variables to associate with the secondary time index. Only one\n secondary time index is allowed. If None, only associate the time index.\n\n new_entity_time_index (str, optional): Rename new entity time index.\n\n new_entity_secondary_time_index (str, optional): Rename new entity secondary time index.\n\n ' base_entity = self.entity_dict[base_entity_id] additional_variables = (additional_variables or []) copy_variables = (copy_variables or []) if (base_entity.time_index is not None): t_index = base_entity[base_entity.time_index] if (not isinstance(t_index, (vtypes.NumericTimeIndex, vtypes.DatetimeTimeIndex))): base_error = "Time index '{0}' is not a NumericTimeIndex or DatetimeTimeIndex, but type {1}. Use set_time_index on entity '{2}' to set the time_index." raise TypeError(base_error.format(base_entity.time_index, type(t_index), str(base_entity.id))) if (not isinstance(additional_variables, list)): raise TypeError("'additional_variables' must be a list, but received type {}".format(type(additional_variables))) if (len(additional_variables) != len(set(additional_variables))): raise ValueError("'additional_variables' contains duplicate variables. All variables must be unique.") if (not isinstance(copy_variables, list)): raise TypeError("'copy_variables' must be a list, but received type {}".format(type(copy_variables))) if (len(copy_variables) != len(set(copy_variables))): raise ValueError("'copy_variables' contains duplicate variables. All variables must be unique.") for v in (additional_variables + copy_variables): if (v == index): raise ValueError('Not copying {} as both index and variable'.format(v)) for v in additional_variables: if (v == base_entity.time_index): raise ValueError('Not moving {} as it is the base time index variable. Perhaps, move the variable to the copy_variables.'.format(v)) if isinstance(make_time_index, str): if (make_time_index not in base_entity.df.columns): raise ValueError("'make_time_index' must be a variable in the base entity") elif (make_time_index not in (additional_variables + copy_variables)): raise ValueError("'make_time_index' must be specified in 'additional_variables' or 'copy_variables'") if (index == base_entity.index): raise ValueError("'index' must be different from the index column of the base entity") transfer_types = {} transfer_types[index] = type(base_entity[index]) for v in (additional_variables + copy_variables): if (type(base_entity[v]) == vtypes.DatetimeTimeIndex): transfer_types[v] = vtypes.Datetime elif (type(base_entity[v]) == vtypes.NumericTimeIndex): transfer_types[v] = vtypes.Numeric else: transfer_types[v] = type(base_entity[v]) new_entity_df = self[base_entity_id].df.copy() if ((make_time_index is None) and (base_entity.time_index is not None)): make_time_index = True if isinstance(make_time_index, str): base_time_index = make_time_index new_entity_time_index = make_time_index already_sorted = (new_entity_time_index == base_entity.time_index) elif make_time_index: base_time_index = base_entity.time_index if (new_entity_time_index is None): new_entity_time_index = ('first_%s_time' % base_entity.id) already_sorted = True assert (base_entity.time_index is not None), "Base entity doesn't have time_index defined" if (base_time_index not in [v for v in additional_variables]): copy_variables.append(base_time_index) transfer_types[new_entity_time_index] = type(base_entity[base_entity.time_index]) else: new_entity_time_index = None already_sorted = False if ((new_entity_time_index is not None) and (new_entity_time_index == index)): raise ValueError(('time_index and index cannot be the same value, %s' % new_entity_time_index)) selected_variables = (([index] + [v for v in additional_variables]) + [v for v in copy_variables]) new_entity_df2 = new_entity_df.drop_duplicates(index, keep='first')[selected_variables] if make_time_index: new_entity_df2 = new_entity_df2.rename(columns={base_time_index: new_entity_time_index}) if make_secondary_time_index: assert (len(make_secondary_time_index) == 1), 'Can only provide 1 secondary time index' secondary_time_index = list(make_secondary_time_index.keys())[0] secondary_variables = ([index, secondary_time_index] + list(make_secondary_time_index.values())[0]) secondary_df = new_entity_df.drop_duplicates(index, keep='last')[secondary_variables] if new_entity_secondary_time_index: secondary_df = secondary_df.rename(columns={secondary_time_index: new_entity_secondary_time_index}) secondary_time_index = new_entity_secondary_time_index else: new_entity_secondary_time_index = secondary_time_index secondary_df = secondary_df.set_index(index) new_entity_df = new_entity_df2.join(secondary_df, on=index) else: new_entity_df = new_entity_df2 base_entity_index = index transfer_types[index] = vtypes.Categorical if make_secondary_time_index: old_ti_name = list(make_secondary_time_index.keys())[0] ti_cols = list(make_secondary_time_index.values())[0] ti_cols = [(c if (c != old_ti_name) else secondary_time_index) for c in ti_cols] make_secondary_time_index = {secondary_time_index: ti_cols} self.entity_from_dataframe(new_entity_id, new_entity_df, index, already_sorted=already_sorted, time_index=new_entity_time_index, secondary_time_index=make_secondary_time_index, variable_types=transfer_types) self.entity_dict[base_entity_id].delete_variables(additional_variables) new_entity = self.entity_dict[new_entity_id] base_entity.convert_variable_type(base_entity_index, vtypes.Id, convert_data=False) self.add_relationship(Relationship(new_entity[index], base_entity[base_entity_index])) self.reset_data_description() return self	-7,134,861,186,894,984,000	Create a new entity and relationship from unique values of an existing variable. Args: base_entity_id (str) : Entity id from which to split. new_entity_id (str): Id of the new entity. index (str): Variable in old entity that will become index of new entity. Relationship will be created across this variable. additional_variables (list[str]): List of variable ids to remove from base_entity and move to new entity. copy_variables (list[str]): List of variable ids to copy from old entity and move to new entity. make_time_index (bool or str, optional): Create time index for new entity based on time index in base_entity, optionally specifying which variable in base_entity to use for time_index. If specified as True without a specific variable, uses the primary time index. Defaults to True if base entity has a time index. make_secondary_time_index (dict[str -> list[str]], optional): Create a secondary time index from key. Values of dictionary are the variables to associate with the secondary time index. Only one secondary time index is allowed. If None, only associate the time index. new_entity_time_index (str, optional): Rename new entity time index. new_entity_secondary_time_index (str, optional): Rename new entity secondary time index.	featuretools/entityset/entityset.py	normalize_entity	esyyes/featuretools	python	def normalize_entity(self, base_entity_id, new_entity_id, index, additional_variables=None, copy_variables=None, make_time_index=None, make_secondary_time_index=None, new_entity_time_index=None, new_entity_secondary_time_index=None): 'Create a new entity and relationship from unique values of an existing variable.\n\n Args:\n base_entity_id (str) : Entity id from which to split.\n\n new_entity_id (str): Id of the new entity.\n\n index (str): Variable in old entity\n that will become index of new entity. Relationship\n will be created across this variable.\n\n additional_variables (list[str]):\n List of variable ids to remove from\n base_entity and move to new entity.\n\n copy_variables (list[str]): List of\n variable ids to copy from old entity\n and move to new entity.\n\n make_time_index (bool or str, optional): Create time index for new entity based\n on time index in base_entity, optionally specifying which variable in base_entity\n to use for time_index. If specified as True without a specific variable,\n uses the primary time index. Defaults to True if base entity has a time index.\n\n make_secondary_time_index (dict[str -> list[str]], optional): Create a secondary time index\n from key. Values of dictionary\n are the variables to associate with the secondary time index. Only one\n secondary time index is allowed. If None, only associate the time index.\n\n new_entity_time_index (str, optional): Rename new entity time index.\n\n new_entity_secondary_time_index (str, optional): Rename new entity secondary time index.\n\n ' base_entity = self.entity_dict[base_entity_id] additional_variables = (additional_variables or []) copy_variables = (copy_variables or []) if (base_entity.time_index is not None): t_index = base_entity[base_entity.time_index] if (not isinstance(t_index, (vtypes.NumericTimeIndex, vtypes.DatetimeTimeIndex))): base_error = "Time index '{0}' is not a NumericTimeIndex or DatetimeTimeIndex, but type {1}. Use set_time_index on entity '{2}' to set the time_index." raise TypeError(base_error.format(base_entity.time_index, type(t_index), str(base_entity.id))) if (not isinstance(additional_variables, list)): raise TypeError("'additional_variables' must be a list, but received type {}".format(type(additional_variables))) if (len(additional_variables) != len(set(additional_variables))): raise ValueError("'additional_variables' contains duplicate variables. All variables must be unique.") if (not isinstance(copy_variables, list)): raise TypeError("'copy_variables' must be a list, but received type {}".format(type(copy_variables))) if (len(copy_variables) != len(set(copy_variables))): raise ValueError("'copy_variables' contains duplicate variables. All variables must be unique.") for v in (additional_variables + copy_variables): if (v == index): raise ValueError('Not copying {} as both index and variable'.format(v)) for v in additional_variables: if (v == base_entity.time_index): raise ValueError('Not moving {} as it is the base time index variable. Perhaps, move the variable to the copy_variables.'.format(v)) if isinstance(make_time_index, str): if (make_time_index not in base_entity.df.columns): raise ValueError("'make_time_index' must be a variable in the base entity") elif (make_time_index not in (additional_variables + copy_variables)): raise ValueError("'make_time_index' must be specified in 'additional_variables' or 'copy_variables'") if (index == base_entity.index): raise ValueError("'index' must be different from the index column of the base entity") transfer_types = {} transfer_types[index] = type(base_entity[index]) for v in (additional_variables + copy_variables): if (type(base_entity[v]) == vtypes.DatetimeTimeIndex): transfer_types[v] = vtypes.Datetime elif (type(base_entity[v]) == vtypes.NumericTimeIndex): transfer_types[v] = vtypes.Numeric else: transfer_types[v] = type(base_entity[v]) new_entity_df = self[base_entity_id].df.copy() if ((make_time_index is None) and (base_entity.time_index is not None)): make_time_index = True if isinstance(make_time_index, str): base_time_index = make_time_index new_entity_time_index = make_time_index already_sorted = (new_entity_time_index == base_entity.time_index) elif make_time_index: base_time_index = base_entity.time_index if (new_entity_time_index is None): new_entity_time_index = ('first_%s_time' % base_entity.id) already_sorted = True assert (base_entity.time_index is not None), "Base entity doesn't have time_index defined" if (base_time_index not in [v for v in additional_variables]): copy_variables.append(base_time_index) transfer_types[new_entity_time_index] = type(base_entity[base_entity.time_index]) else: new_entity_time_index = None already_sorted = False if ((new_entity_time_index is not None) and (new_entity_time_index == index)): raise ValueError(('time_index and index cannot be the same value, %s' % new_entity_time_index)) selected_variables = (([index] + [v for v in additional_variables]) + [v for v in copy_variables]) new_entity_df2 = new_entity_df.drop_duplicates(index, keep='first')[selected_variables] if make_time_index: new_entity_df2 = new_entity_df2.rename(columns={base_time_index: new_entity_time_index}) if make_secondary_time_index: assert (len(make_secondary_time_index) == 1), 'Can only provide 1 secondary time index' secondary_time_index = list(make_secondary_time_index.keys())[0] secondary_variables = ([index, secondary_time_index] + list(make_secondary_time_index.values())[0]) secondary_df = new_entity_df.drop_duplicates(index, keep='last')[secondary_variables] if new_entity_secondary_time_index: secondary_df = secondary_df.rename(columns={secondary_time_index: new_entity_secondary_time_index}) secondary_time_index = new_entity_secondary_time_index else: new_entity_secondary_time_index = secondary_time_index secondary_df = secondary_df.set_index(index) new_entity_df = new_entity_df2.join(secondary_df, on=index) else: new_entity_df = new_entity_df2 base_entity_index = index transfer_types[index] = vtypes.Categorical if make_secondary_time_index: old_ti_name = list(make_secondary_time_index.keys())[0] ti_cols = list(make_secondary_time_index.values())[0] ti_cols = [(c if (c != old_ti_name) else secondary_time_index) for c in ti_cols] make_secondary_time_index = {secondary_time_index: ti_cols} self.entity_from_dataframe(new_entity_id, new_entity_df, index, already_sorted=already_sorted, time_index=new_entity_time_index, secondary_time_index=make_secondary_time_index, variable_types=transfer_types) self.entity_dict[base_entity_id].delete_variables(additional_variables) new_entity = self.entity_dict[new_entity_id] base_entity.convert_variable_type(base_entity_index, vtypes.Id, convert_data=False) self.add_relationship(Relationship(new_entity[index], base_entity[base_entity_index])) self.reset_data_description() return self
def concat(self, other, inplace=False): 'Combine entityset with another to create a new entityset with the\n combined data of both entitysets.\n ' assert_string = 'Entitysets must have the same entities, relationships, and variable_ids' assert (self.__eq__(other) and (self.relationships == other.relationships)), assert_string for entity in self.entities: assert (entity.id in other.entity_dict), assert_string assert (len(self[entity.id].variables) == len(other[entity.id].variables)), assert_string other_variable_ids = [o_variable.id for o_variable in other[entity.id].variables] assert all([(variable.id in other_variable_ids) for variable in self[entity.id].variables]), assert_string if inplace: combined_es = self else: combined_es = copy.deepcopy(self) has_last_time_index = [] for entity in self.entities: self_df = entity.df other_df = other[entity.id].df combined_df = pd.concat([self_df, other_df]) if (entity.created_index == entity.index): columns = [col for col in combined_df.columns if ((col != entity.index) or (col != entity.time_index))] else: columns = [entity.index] combined_df.drop_duplicates(columns, inplace=True) if entity.time_index: combined_df.sort_values([entity.time_index, entity.index], inplace=True) else: combined_df.sort_index(inplace=True) if ((entity.last_time_index is not None) or (other[entity.id].last_time_index is not None)): has_last_time_index.append(entity.id) combined_es[entity.id].update_data(df=combined_df, recalculate_last_time_indexes=False) combined_es.add_last_time_indexes(updated_entities=has_last_time_index) self.reset_data_description() return combined_es	3,209,734,081,182,896,000	Combine entityset with another to create a new entityset with the combined data of both entitysets.	featuretools/entityset/entityset.py	concat	esyyes/featuretools	python	def concat(self, other, inplace=False): 'Combine entityset with another to create a new entityset with the\n combined data of both entitysets.\n ' assert_string = 'Entitysets must have the same entities, relationships, and variable_ids' assert (self.__eq__(other) and (self.relationships == other.relationships)), assert_string for entity in self.entities: assert (entity.id in other.entity_dict), assert_string assert (len(self[entity.id].variables) == len(other[entity.id].variables)), assert_string other_variable_ids = [o_variable.id for o_variable in other[entity.id].variables] assert all([(variable.id in other_variable_ids) for variable in self[entity.id].variables]), assert_string if inplace: combined_es = self else: combined_es = copy.deepcopy(self) has_last_time_index = [] for entity in self.entities: self_df = entity.df other_df = other[entity.id].df combined_df = pd.concat([self_df, other_df]) if (entity.created_index == entity.index): columns = [col for col in combined_df.columns if ((col != entity.index) or (col != entity.time_index))] else: columns = [entity.index] combined_df.drop_duplicates(columns, inplace=True) if entity.time_index: combined_df.sort_values([entity.time_index, entity.index], inplace=True) else: combined_df.sort_index(inplace=True) if ((entity.last_time_index is not None) or (other[entity.id].last_time_index is not None)): has_last_time_index.append(entity.id) combined_es[entity.id].update_data(df=combined_df, recalculate_last_time_indexes=False) combined_es.add_last_time_indexes(updated_entities=has_last_time_index) self.reset_data_description() return combined_es
def add_last_time_indexes(self, updated_entities=None): '\n Calculates the last time index values for each entity (the last time\n an instance or children of that instance were observed). Used when\n calculating features using training windows\n Args:\n updated_entities (list[str]): List of entity ids to update last_time_index for\n (will update all parents of those entities as well)\n ' children = defaultdict(list) child_vars = defaultdict(dict) for r in self.relationships: children[r.parent_entity.id].append(r.child_entity) child_vars[r.parent_entity.id][r.child_entity.id] = r.child_variable updated_entities = (updated_entities or []) if updated_entities: parent_queue = updated_entities[:] parents = set() while len(parent_queue): e = parent_queue.pop(0) if (e in parents): continue parents.add(e) for (parent_id, _) in self.get_forward_entities(e): parent_queue.append(parent_id) queue = [self[p] for p in parents] to_explore = parents else: to_explore = set([e.id for e in self.entities[:]]) queue = self.entities[:] explored = set() for e in queue: e.last_time_index = None while (not to_explore.issubset(explored)): entity = queue.pop(0) if (entity.last_time_index is None): if (entity.time_index is not None): lti = entity.df[entity.time_index].copy() if isinstance(entity.df, dd.DataFrame): lti.index = entity.df[entity.index].copy() else: lti = entity.df[entity.index].copy() if isinstance(entity.df, dd.DataFrame): lti.index = entity.df[entity.index].copy() lti = lti.apply((lambda x: None)) else: lti[:] = None entity.last_time_index = lti if (entity.id in children): child_entities = children[entity.id] if (not set([e.id for e in child_entities]).issubset(explored)): for e in child_entities: if ((e.id not in explored) and (e.id not in [q.id for q in queue])): queue.append(e) queue.append(entity) continue for child_e in child_entities: if (child_e.last_time_index is None): continue link_var = child_vars[entity.id][child_e.id].id if isinstance(child_e.last_time_index, dd.Series): to_join = child_e.df[link_var] to_join.index = child_e.df[child_e.index] lti_df = child_e.last_time_index.to_frame(name='last_time').join(to_join.to_frame(name=entity.index)) new_index = lti_df.index.copy() new_index.name = None lti_df.index = new_index lti_df = lti_df.groupby(lti_df[entity.index]).agg('max') lti_df = entity.last_time_index.to_frame(name='last_time_old').join(lti_df) else: lti_df = pd.DataFrame({'last_time': child_e.last_time_index, entity.index: child_e.df[link_var]}) lti_df.sort_values(['last_time', entity.index], kind='mergesort', inplace=True) lti_df.drop_duplicates(entity.index, keep='last', inplace=True) lti_df.set_index(entity.index, inplace=True) lti_df = lti_df.reindex(entity.last_time_index.index) lti_df['last_time_old'] = entity.last_time_index if ((not isinstance(lti_df, dd.DataFrame)) and lti_df.empty): lti_df = pd.Series() else: lti_df['last_time'] = lti_df['last_time'].astype('datetime64[ns]') lti_df['last_time_old'] = lti_df['last_time_old'].astype('datetime64[ns]') lti_df = lti_df.fillna(pd.to_datetime('1800-01-01 00:00')).max(axis=1) lti_df = lti_df.replace(pd.to_datetime('1800-01-01 00:00'), pd.NaT) entity.last_time_index = lti_df entity.last_time_index.name = 'last_time' explored.add(entity.id) self.reset_data_description()	5,950,411,667,083,106,000	Calculates the last time index values for each entity (the last time an instance or children of that instance were observed). Used when calculating features using training windows Args: updated_entities (list[str]): List of entity ids to update last_time_index for (will update all parents of those entities as well)	featuretools/entityset/entityset.py	add_last_time_indexes	esyyes/featuretools	python	def add_last_time_indexes(self, updated_entities=None): '\n Calculates the last time index values for each entity (the last time\n an instance or children of that instance were observed). Used when\n calculating features using training windows\n Args:\n updated_entities (list[str]): List of entity ids to update last_time_index for\n (will update all parents of those entities as well)\n ' children = defaultdict(list) child_vars = defaultdict(dict) for r in self.relationships: children[r.parent_entity.id].append(r.child_entity) child_vars[r.parent_entity.id][r.child_entity.id] = r.child_variable updated_entities = (updated_entities or []) if updated_entities: parent_queue = updated_entities[:] parents = set() while len(parent_queue): e = parent_queue.pop(0) if (e in parents): continue parents.add(e) for (parent_id, _) in self.get_forward_entities(e): parent_queue.append(parent_id) queue = [self[p] for p in parents] to_explore = parents else: to_explore = set([e.id for e in self.entities[:]]) queue = self.entities[:] explored = set() for e in queue: e.last_time_index = None while (not to_explore.issubset(explored)): entity = queue.pop(0) if (entity.last_time_index is None): if (entity.time_index is not None): lti = entity.df[entity.time_index].copy() if isinstance(entity.df, dd.DataFrame): lti.index = entity.df[entity.index].copy() else: lti = entity.df[entity.index].copy() if isinstance(entity.df, dd.DataFrame): lti.index = entity.df[entity.index].copy() lti = lti.apply((lambda x: None)) else: lti[:] = None entity.last_time_index = lti if (entity.id in children): child_entities = children[entity.id] if (not set([e.id for e in child_entities]).issubset(explored)): for e in child_entities: if ((e.id not in explored) and (e.id not in [q.id for q in queue])): queue.append(e) queue.append(entity) continue for child_e in child_entities: if (child_e.last_time_index is None): continue link_var = child_vars[entity.id][child_e.id].id if isinstance(child_e.last_time_index, dd.Series): to_join = child_e.df[link_var] to_join.index = child_e.df[child_e.index] lti_df = child_e.last_time_index.to_frame(name='last_time').join(to_join.to_frame(name=entity.index)) new_index = lti_df.index.copy() new_index.name = None lti_df.index = new_index lti_df = lti_df.groupby(lti_df[entity.index]).agg('max') lti_df = entity.last_time_index.to_frame(name='last_time_old').join(lti_df) else: lti_df = pd.DataFrame({'last_time': child_e.last_time_index, entity.index: child_e.df[link_var]}) lti_df.sort_values(['last_time', entity.index], kind='mergesort', inplace=True) lti_df.drop_duplicates(entity.index, keep='last', inplace=True) lti_df.set_index(entity.index, inplace=True) lti_df = lti_df.reindex(entity.last_time_index.index) lti_df['last_time_old'] = entity.last_time_index if ((not isinstance(lti_df, dd.DataFrame)) and lti_df.empty): lti_df = pd.Series() else: lti_df['last_time'] = lti_df['last_time'].astype('datetime64[ns]') lti_df['last_time_old'] = lti_df['last_time_old'].astype('datetime64[ns]') lti_df = lti_df.fillna(pd.to_datetime('1800-01-01 00:00')).max(axis=1) lti_df = lti_df.replace(pd.to_datetime('1800-01-01 00:00'), pd.NaT) entity.last_time_index = lti_df entity.last_time_index.name = 'last_time' explored.add(entity.id) self.reset_data_description()
def add_interesting_values(self, max_values=5, verbose=False): 'Find interesting values for categorical variables, to be used to generate "where" clauses\n\n Args:\n max_values (int) : Maximum number of values per variable to add.\n verbose (bool) : If True, print summary of interesting values found.\n\n Returns:\n None\n\n ' for entity in self.entities: entity.add_interesting_values(max_values=max_values, verbose=verbose) self.reset_data_description()	7,888,551,999,182,275,000	Find interesting values for categorical variables, to be used to generate "where" clauses Args: max_values (int) : Maximum number of values per variable to add. verbose (bool) : If True, print summary of interesting values found. Returns: None	featuretools/entityset/entityset.py	add_interesting_values	esyyes/featuretools	python	def add_interesting_values(self, max_values=5, verbose=False): 'Find interesting values for categorical variables, to be used to generate "where" clauses\n\n Args:\n max_values (int) : Maximum number of values per variable to add.\n verbose (bool) : If True, print summary of interesting values found.\n\n Returns:\n None\n\n ' for entity in self.entities: entity.add_interesting_values(max_values=max_values, verbose=verbose) self.reset_data_description()
def plot(self, to_file=None): '\n Create a UML diagram-ish graph of the EntitySet.\n\n Args:\n to_file (str, optional) : Path to where the plot should be saved.\n If set to None (as by default), the plot will not be saved.\n\n Returns:\n graphviz.Digraph : Graph object that can directly be displayed in\n Jupyter notebooks.\n\n ' GRAPHVIZ_ERR_MSG = (('Please install graphviz to plot entity sets.' + ' (See https://docs.featuretools.com/en/stable/getting_started/install.html#installing-graphviz for') + ' details)') graphviz = import_or_raise('graphviz', GRAPHVIZ_ERR_MSG) try: graphviz.Digraph().pipe() except graphviz.backend.ExecutableNotFound: raise RuntimeError(((((('To plot entity sets, a graphviz backend is required.\n' + 'Install the backend using one of the following commands:\n') + ' Mac OS: brew install graphviz\n') + ' Linux (Ubuntu): sudo apt-get install graphviz\n') + ' Windows: conda install python-graphviz\n') + ' For more details visit: https://docs.featuretools.com/en/stable/getting_started/install.html')) if to_file: to_file = str(to_file) split_path = to_file.split('.') if (len(split_path) < 2): raise ValueError(("Please use a file extension like '.pdf'" + ' so that the format can be inferred')) format = split_path[(- 1)] valid_formats = graphviz.backend.FORMATS if (format not in valid_formats): raise ValueError(('Unknown format. Make sure your format is' + (' amongst the following: %s' % valid_formats))) else: format = None graph = graphviz.Digraph(self.id, format=format, graph_attr={'splines': 'ortho'}) for entity in self.entities: variables_string = '\\l'.join([((var.id + ' : ') + var.type_string) for var in entity.variables]) nrows = entity.shape[0] label = ('{%s (%d row%s)\|%s\\l}' % (entity.id, nrows, ('s' * (nrows > 1)), variables_string)) graph.node(entity.id, shape='record', label=label) for rel in self.relationships: if (rel._parent_variable_id == rel._child_variable_id): label = rel._parent_variable_id else: label = ('%s -> %s' % (rel._parent_variable_id, rel._child_variable_id)) graph.edge(rel._child_entity_id, rel._parent_entity_id, xlabel=label) if to_file: offset = (len(format) + 1) output_path = to_file[:(- offset)] graph.render(output_path, cleanup=True) return graph	-2,253,033,458,387,402,000	Create a UML diagram-ish graph of the EntitySet. Args: to_file (str, optional) : Path to where the plot should be saved. If set to None (as by default), the plot will not be saved. Returns: graphviz.Digraph : Graph object that can directly be displayed in Jupyter notebooks.	featuretools/entityset/entityset.py	plot	esyyes/featuretools	python	def plot(self, to_file=None): '\n Create a UML diagram-ish graph of the EntitySet.\n\n Args:\n to_file (str, optional) : Path to where the plot should be saved.\n If set to None (as by default), the plot will not be saved.\n\n Returns:\n graphviz.Digraph : Graph object that can directly be displayed in\n Jupyter notebooks.\n\n ' GRAPHVIZ_ERR_MSG = (('Please install graphviz to plot entity sets.' + ' (See https://docs.featuretools.com/en/stable/getting_started/install.html#installing-graphviz for') + ' details)') graphviz = import_or_raise('graphviz', GRAPHVIZ_ERR_MSG) try: graphviz.Digraph().pipe() except graphviz.backend.ExecutableNotFound: raise RuntimeError(((((('To plot entity sets, a graphviz backend is required.\n' + 'Install the backend using one of the following commands:\n') + ' Mac OS: brew install graphviz\n') + ' Linux (Ubuntu): sudo apt-get install graphviz\n') + ' Windows: conda install python-graphviz\n') + ' For more details visit: https://docs.featuretools.com/en/stable/getting_started/install.html')) if to_file: to_file = str(to_file) split_path = to_file.split('.') if (len(split_path) < 2): raise ValueError(("Please use a file extension like '.pdf'" + ' so that the format can be inferred')) format = split_path[(- 1)] valid_formats = graphviz.backend.FORMATS if (format not in valid_formats): raise ValueError(('Unknown format. Make sure your format is' + (' amongst the following: %s' % valid_formats))) else: format = None graph = graphviz.Digraph(self.id, format=format, graph_attr={'splines': 'ortho'}) for entity in self.entities: variables_string = '\\l'.join([((var.id + ' : ') + var.type_string) for var in entity.variables]) nrows = entity.shape[0] label = ('{%s (%d row%s)\|%s\\l}' % (entity.id, nrows, ('s' * (nrows > 1)), variables_string)) graph.node(entity.id, shape='record', label=label) for rel in self.relationships: if (rel._parent_variable_id == rel._child_variable_id): label = rel._parent_variable_id else: label = ('%s -> %s' % (rel._parent_variable_id, rel._child_variable_id)) graph.edge(rel._child_entity_id, rel._parent_entity_id, xlabel=label) if to_file: offset = (len(format) + 1) output_path = to_file[:(- offset)] graph.render(output_path, cleanup=True) return graph
def search_fields_to_dict(fields): '\n In ``SearchableQuerySet`` and ``SearchableManager``, search fields\n can either be a sequence, or a dict of fields mapped to weights.\n This function converts sequences to a dict mapped to even weights,\n so that we\'re consistently dealing with a dict of fields mapped to\n weights, eg: ("title", "content") -> {"title": 1, "content": 1}\n ' if (not fields): return {} try: int(list(dict(fields).values())[0]) except (TypeError, ValueError): fields = dict(zip(fields, ([1] * len(fields)))) return fields	-4,831,613,302,405,333,000	In ``SearchableQuerySet`` and ``SearchableManager``, search fields can either be a sequence, or a dict of fields mapped to weights. This function converts sequences to a dict mapped to even weights, so that we're consistently dealing with a dict of fields mapped to weights, eg: ("title", "content") -> {"title": 1, "content": 1}	mezzanine/core/managers.py	search_fields_to_dict	abendig/mezzanine	python	def search_fields_to_dict(fields): '\n In ``SearchableQuerySet`` and ``SearchableManager``, search fields\n can either be a sequence, or a dict of fields mapped to weights.\n This function converts sequences to a dict mapped to even weights,\n so that we\'re consistently dealing with a dict of fields mapped to\n weights, eg: ("title", "content") -> {"title": 1, "content": 1}\n ' if (not fields): return {} try: int(list(dict(fields).values())[0]) except (TypeError, ValueError): fields = dict(zip(fields, ([1] * len(fields)))) return fields
def published(self, for_user=None): '\n For non-staff users, return items with a published status and\n whose publish and expiry dates fall before and after the\n current date when specified.\n ' from mezzanine.core.models import CONTENT_STATUS_PUBLISHED if ((for_user is not None) and for_user.is_staff): return self.all() return self.filter((Q(publish_date__lte=now()) \| Q(publish_date__isnull=True)), (Q(expiry_date__gte=now()) \| Q(expiry_date__isnull=True)), Q(status=CONTENT_STATUS_PUBLISHED))	-8,919,548,836,438,179,000	For non-staff users, return items with a published status and whose publish and expiry dates fall before and after the current date when specified.	mezzanine/core/managers.py	published	abendig/mezzanine	python	def published(self, for_user=None): '\n For non-staff users, return items with a published status and\n whose publish and expiry dates fall before and after the\n current date when specified.\n ' from mezzanine.core.models import CONTENT_STATUS_PUBLISHED if ((for_user is not None) and for_user.is_staff): return self.all() return self.filter((Q(publish_date__lte=now()) \| Q(publish_date__isnull=True)), (Q(expiry_date__gte=now()) \| Q(expiry_date__isnull=True)), Q(status=CONTENT_STATUS_PUBLISHED))
def search(self, query, search_fields=None): '\n Build a queryset matching words in the given search query,\n treating quoted terms as exact phrases and taking into\n account + and - symbols as modifiers controlling which terms\n to require and exclude.\n ' if search_fields: self._search_fields = search_fields_to_dict(search_fields) if (not self._search_fields): return self.none() terms = ' '.join(query.split()).replace('+ ', '+').replace('+"', '"+').replace('- ', '-').replace('-"', '"-').split('"') terms = [(('' if (t[0:1] not in '+-') else t[0:1]) + t.strip(punctuation)) for t in (terms[1::2] + ''.join(terms[::2]).split())] terms_no_stopwords = [t for t in terms if (t.lower() not in settings.STOP_WORDS)] get_positive_terms = (lambda terms: [t.lower().strip(punctuation) for t in terms if (t[0:1] != '-')]) positive_terms = get_positive_terms(terms_no_stopwords) if positive_terms: terms = terms_no_stopwords else: positive_terms = get_positive_terms(terms) if (not positive_terms): return self.none() else: self._search_terms.update(positive_terms) excluded = [reduce(iand, [(~ Q({('%s__icontains' % f): t[1:]})) for f in self._search_fields.keys()]) for t in terms if (t[0:1] == '-')] required = [reduce(ior, [Q({('%s__icontains' % f): t[1:]}) for f in self._search_fields.keys()]) for t in terms if (t[0:1] == '+')] optional = [reduce(ior, [Q(**{('%s__icontains' % f): t}) for f in self._search_fields.keys()]) for t in terms if (t[0:1] not in '+-')] queryset = self if excluded: queryset = queryset.filter(reduce(iand, excluded)) if required: queryset = queryset.filter(reduce(iand, required)) elif optional: queryset = queryset.filter(reduce(ior, optional)) return queryset.distinct()	7,935,469,320,271,729,000	Build a queryset matching words in the given search query, treating quoted terms as exact phrases and taking into account + and - symbols as modifiers controlling which terms to require and exclude.	mezzanine/core/managers.py	search	abendig/mezzanine	python	def search(self, query, search_fields=None): '\n Build a queryset matching words in the given search query,\n treating quoted terms as exact phrases and taking into\n account + and - symbols as modifiers controlling which terms\n to require and exclude.\n ' if search_fields: self._search_fields = search_fields_to_dict(search_fields) if (not self._search_fields): return self.none() terms = ' '.join(query.split()).replace('+ ', '+').replace('+"', '"+').replace('- ', '-').replace('-"', '"-').split('"') terms = [(( if (t[0:1] not in '+-') else t[0:1]) + t.strip(punctuation)) for t in (terms[1::2] + .join(terms[::2]).split())] terms_no_stopwords = [t for t in terms if (t.lower() not in settings.STOP_WORDS)] get_positive_terms = (lambda terms: [t.lower().strip(punctuation) for t in terms if (t[0:1] != '-')]) positive_terms = get_positive_terms(terms_no_stopwords) if positive_terms: terms = terms_no_stopwords else: positive_terms = get_positive_terms(terms) if (not positive_terms): return self.none() else: self._search_terms.update(positive_terms) excluded = [reduce(iand, [(~ Q({('%s__icontains' % f): t[1:]})) for f in self._search_fields.keys()]) for t in terms if (t[0:1] == '-')] required = [reduce(ior, [Q({('%s__icontains' % f): t[1:]}) for f in self._search_fields.keys()]) for t in terms if (t[0:1] == '+')] optional = [reduce(ior, [Q(**{('%s__icontains' % f): t}) for f in self._search_fields.keys()]) for t in terms if (t[0:1] not in '+-')] queryset = self if excluded: queryset = queryset.filter(reduce(iand, excluded)) if required: queryset = queryset.filter(reduce(iand, required)) elif optional: queryset = queryset.filter(reduce(ior, optional)) return queryset.distinct()
def _clone(self, args, kwargs): '\n Ensure attributes are copied to subsequent queries.\n ' for attr in ('_search_terms', '_search_fields', '_search_ordered'): kwargs[attr] = getattr(self, attr) return super(SearchableQuerySet, self)._clone(args, **kwargs)	202,594,186,732,412,800	Ensure attributes are copied to subsequent queries.	mezzanine/core/managers.py	_clone	abendig/mezzanine	python	def _clone(self, args, kwargs): '\n \n ' for attr in ('_search_terms', '_search_fields', '_search_ordered'): kwargs[attr] = getattr(self, attr) return super(SearchableQuerySet, self)._clone(args, **kwargs)
def order_by(self, field_names): '\n Mark the filter as being ordered if search has occurred.\n ' if (not self._search_ordered): self._search_ordered = (len(self._search_terms) > 0) return super(SearchableQuerySet, self).order_by(field_names)	6,709,779,607,729,200,000	Mark the filter as being ordered if search has occurred.	mezzanine/core/managers.py	order_by	abendig/mezzanine	python	def order_by(self, field_names): '\n \n ' if (not self._search_ordered): self._search_ordered = (len(self._search_terms) > 0) return super(SearchableQuerySet, self).order_by(field_names)
def iterator(self): "\n If search has occurred and no ordering has occurred, decorate\n each result with the number of search terms so that it can be\n sorted by the number of occurrence of terms.\n\n In the case of search fields that span model relationships, we\n cannot accurately match occurrences without some very\n complicated traversal code, which we won't attempt. So in this\n case, namely when there are no matches for a result (count=0),\n and search fields contain relationships (double underscores),\n we assume one match for one of the fields, and use the average\n weight of all search fields with relationships.\n " results = super(SearchableQuerySet, self).iterator() if (self._search_terms and (not self._search_ordered)): results = list(results) for (i, result) in enumerate(results): count = 0 related_weights = [] for (field, weight) in self._search_fields.items(): if ('__' in field): related_weights.append(weight) for term in self._search_terms: field_value = getattr(result, field, None) if field_value: count += (field_value.lower().count(term) * weight) if ((not count) and related_weights): count = int((sum(related_weights) / len(related_weights))) results[i].result_count = count return iter(results) return results	3,831,567,514,092,261,000	If search has occurred and no ordering has occurred, decorate each result with the number of search terms so that it can be sorted by the number of occurrence of terms. In the case of search fields that span model relationships, we cannot accurately match occurrences without some very complicated traversal code, which we won't attempt. So in this case, namely when there are no matches for a result (count=0), and search fields contain relationships (double underscores), we assume one match for one of the fields, and use the average weight of all search fields with relationships.	mezzanine/core/managers.py	iterator	abendig/mezzanine	python	def iterator(self): "\n If search has occurred and no ordering has occurred, decorate\n each result with the number of search terms so that it can be\n sorted by the number of occurrence of terms.\n\n In the case of search fields that span model relationships, we\n cannot accurately match occurrences without some very\n complicated traversal code, which we won't attempt. So in this\n case, namely when there are no matches for a result (count=0),\n and search fields contain relationships (double underscores),\n we assume one match for one of the fields, and use the average\n weight of all search fields with relationships.\n " results = super(SearchableQuerySet, self).iterator() if (self._search_terms and (not self._search_ordered)): results = list(results) for (i, result) in enumerate(results): count = 0 related_weights = [] for (field, weight) in self._search_fields.items(): if ('__' in field): related_weights.append(weight) for term in self._search_terms: field_value = getattr(result, field, None) if field_value: count += (field_value.lower().count(term) * weight) if ((not count) and related_weights): count = int((sum(related_weights) / len(related_weights))) results[i].result_count = count return iter(results) return results
def get_search_fields(self): "\n Returns the search field names mapped to weights as a dict.\n Used in ``get_queryset`` below to tell ``SearchableQuerySet``\n which search fields to use. Also used by ``DisplayableAdmin``\n to populate Django admin's ``search_fields`` attribute.\n\n Search fields can be populated via\n ``SearchableManager.__init__``, which then get stored in\n ``SearchableManager._search_fields``, which serves as an\n approach for defining an explicit set of fields to be used.\n\n Alternatively and more commonly, ``search_fields`` can be\n defined on models themselves. In this case, we look at the\n model and all its base classes, and build up the search\n fields from all of those, so the search fields are implicitly\n built up from the inheritence chain.\n\n Finally if no search fields have been defined at all, we\n fall back to any fields that are ``CharField`` or ``TextField``\n instances.\n " search_fields = self._search_fields.copy() if (not search_fields): for cls in reversed(self.model.__mro__): super_fields = getattr(cls, 'search_fields', {}) search_fields.update(search_fields_to_dict(super_fields)) if (not search_fields): search_fields = [] for f in self.model._meta.fields: if isinstance(f, (CharField, TextField)): search_fields.append(f.name) search_fields = search_fields_to_dict(search_fields) return search_fields	-7,761,695,402,458,119,000	Returns the search field names mapped to weights as a dict. Used in ``get_queryset`` below to tell ``SearchableQuerySet`` which search fields to use. Also used by ``DisplayableAdmin`` to populate Django admin's ``search_fields`` attribute. Search fields can be populated via ``SearchableManager.__init__``, which then get stored in ``SearchableManager._search_fields``, which serves as an approach for defining an explicit set of fields to be used. Alternatively and more commonly, ``search_fields`` can be defined on models themselves. In this case, we look at the model and all its base classes, and build up the search fields from all of those, so the search fields are implicitly built up from the inheritence chain. Finally if no search fields have been defined at all, we fall back to any fields that are ``CharField`` or ``TextField`` instances.	mezzanine/core/managers.py	get_search_fields	abendig/mezzanine	python	def get_search_fields(self): "\n Returns the search field names mapped to weights as a dict.\n Used in ``get_queryset`` below to tell ``SearchableQuerySet``\n which search fields to use. Also used by ``DisplayableAdmin``\n to populate Django admin's ``search_fields`` attribute.\n\n Search fields can be populated via\n ``SearchableManager.__init__``, which then get stored in\n ``SearchableManager._search_fields``, which serves as an\n approach for defining an explicit set of fields to be used.\n\n Alternatively and more commonly, ``search_fields`` can be\n defined on models themselves. In this case, we look at the\n model and all its base classes, and build up the search\n fields from all of those, so the search fields are implicitly\n built up from the inheritence chain.\n\n Finally if no search fields have been defined at all, we\n fall back to any fields that are ``CharField`` or ``TextField``\n instances.\n " search_fields = self._search_fields.copy() if (not search_fields): for cls in reversed(self.model.__mro__): super_fields = getattr(cls, 'search_fields', {}) search_fields.update(search_fields_to_dict(super_fields)) if (not search_fields): search_fields = [] for f in self.model._meta.fields: if isinstance(f, (CharField, TextField)): search_fields.append(f.name) search_fields = search_fields_to_dict(search_fields) return search_fields
def contribute_to_class(self, model, name): '\n Django 1.5 explicitly prevents managers being accessed from\n abstract classes, which is behaviour the search API has relied\n on for years. Here we reinstate it.\n ' super(SearchableManager, self).contribute_to_class(model, name) setattr(model, name, ManagerDescriptor(self))	-6,567,657,989,180,425,000	Django 1.5 explicitly prevents managers being accessed from abstract classes, which is behaviour the search API has relied on for years. Here we reinstate it.	mezzanine/core/managers.py	contribute_to_class	abendig/mezzanine	python	def contribute_to_class(self, model, name): '\n Django 1.5 explicitly prevents managers being accessed from\n abstract classes, which is behaviour the search API has relied\n on for years. Here we reinstate it.\n ' super(SearchableManager, self).contribute_to_class(model, name) setattr(model, name, ManagerDescriptor(self))
def search(self, args, kwargs): "\n Proxy to queryset's search method for the manager's model and\n any models that subclass from this manager's model if the\n model is abstract.\n " if (not settings.SEARCH_MODEL_CHOICES): models = [m for m in get_models() if issubclass(m, self.model)] parents = reduce(ior, [m._meta.get_parent_list() for m in models]) models = [m for m in models if (m not in parents)] elif getattr(self.model._meta, 'abstract', False): search_choices = set() models = set() parents = set() errors = [] for name in settings.SEARCH_MODEL_CHOICES: try: model = get_model(name.split('.', 1)) except LookupError: errors.append(name) else: search_choices.add(model) if errors: raise ImproperlyConfigured(("Could not load the model(s) %s defined in the 'SEARCH_MODEL_CHOICES' setting." % ', '.join(errors))) for model in get_models(): is_subclass = issubclass(model, self.model) this_parents = set(model._meta.get_parent_list()) in_choices = ((not search_choices) or (model in search_choices)) in_choices = (in_choices or (this_parents & search_choices)) if (is_subclass and (in_choices or (not search_choices))): models.add(model) parents.update(this_parents) models -= parents else: models = [self.model] all_results = [] user = kwargs.pop('for_user', None) for model in models: try: queryset = model.objects.published(for_user=user) except AttributeError: queryset = model.objects.get_queryset() all_results.extend(queryset.search(args, *kwargs)) return sorted(all_results, key=(lambda r: r.result_count), reverse=True)	7,856,990,047,335,888,000	Proxy to queryset's search method for the manager's model and any models that subclass from this manager's model if the model is abstract.	mezzanine/core/managers.py	search	abendig/mezzanine	python	def search(self, args, kwargs): "\n Proxy to queryset's search method for the manager's model and\n any models that subclass from this manager's model if the\n model is abstract.\n " if (not settings.SEARCH_MODEL_CHOICES): models = [m for m in get_models() if issubclass(m, self.model)] parents = reduce(ior, [m._meta.get_parent_list() for m in models]) models = [m for m in models if (m not in parents)] elif getattr(self.model._meta, 'abstract', False): search_choices = set() models = set() parents = set() errors = [] for name in settings.SEARCH_MODEL_CHOICES: try: model = get_model(name.split('.', 1)) except LookupError: errors.append(name) else: search_choices.add(model) if errors: raise ImproperlyConfigured(("Could not load the model(s) %s defined in the 'SEARCH_MODEL_CHOICES' setting." % ', '.join(errors))) for model in get_models(): is_subclass = issubclass(model, self.model) this_parents = set(model._meta.get_parent_list()) in_choices = ((not search_choices) or (model in search_choices)) in_choices = (in_choices or (this_parents & search_choices)) if (is_subclass and (in_choices or (not search_choices))): models.add(model) parents.update(this_parents) models -= parents else: models = [self.model] all_results = [] user = kwargs.pop('for_user', None) for model in models: try: queryset = model.objects.published(for_user=user) except AttributeError: queryset = model.objects.get_queryset() all_results.extend(queryset.search(args, *kwargs)) return sorted(all_results, key=(lambda r: r.result_count), reverse=True)
def url_map(self, for_user=None, kwargs): '\n Returns a dictionary of urls mapped to Displayable subclass\n instances, including a fake homepage instance if none exists.\n Used in ``mezzanine.core.sitemaps``.\n ' home = self.model(title=_('Home')) setattr(home, 'get_absolute_url', home_slug) items = {home.get_absolute_url(): home} for model in get_models(): if issubclass(model, self.model): for item in model.objects.published(for_user=for_user).filter(kwargs).exclude(slug__startswith='http://').exclude(slug__startswith='https://'): items[item.get_absolute_url()] = item return items	-2,532,128,902,053,320,700	Returns a dictionary of urls mapped to Displayable subclass instances, including a fake homepage instance if none exists. Used in ``mezzanine.core.sitemaps``.	mezzanine/core/managers.py	url_map	abendig/mezzanine	python	def url_map(self, for_user=None, kwargs): '\n Returns a dictionary of urls mapped to Displayable subclass\n instances, including a fake homepage instance if none exists.\n Used in ``mezzanine.core.sitemaps``.\n ' home = self.model(title=_('Home')) setattr(home, 'get_absolute_url', home_slug) items = {home.get_absolute_url(): home} for model in get_models(): if issubclass(model, self.model): for item in model.objects.published(for_user=for_user).filter(kwargs).exclude(slug__startswith='http://').exclude(slug__startswith='https://'): items[item.get_absolute_url()] = item return items

Subsets and Splits

No saved queries yet

Save your SQL queries to embed, download, and access them later. Queries will appear here once saved.