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21,537 | tempora | gregorian_date |
Gregorian Date is defined as a year and a julian day (1-based
index into the days of the year).
>>> gregorian_date(2007, 15)
datetime.date(2007, 1, 15)
| def gregorian_date(year, julian_day):
"""
Gregorian Date is defined as a year and a julian day (1-based
index into the days of the year).
>>> gregorian_date(2007, 15)
datetime.date(2007, 1, 15)
"""
result = datetime.date(year, 1, 1)
result += datetime.timedelta(days=julian_day - 1)
return result
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21,538 | tempora | infer_datetime | null | def infer_datetime(ob: Union[AnyDatetime, StructDatetime]) -> datetime.datetime:
if isinstance(ob, (time.struct_time, tuple)):
ob = datetime.datetime(*ob[:6]) # type: ignore
return ensure_datetime(ob)
| (ob: Union[datetime.datetime, datetime.date, datetime.time, Tuple[int, ...], time.struct_time]) -> datetime.datetime | [
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21,540 | tempora | parse_timedelta |
Take a string representing a span of time and parse it to a time delta.
Accepts any string of comma-separated numbers each with a unit indicator.
>>> parse_timedelta('1 day')
datetime.timedelta(days=1)
>>> parse_timedelta('1 day, 30 seconds')
datetime.timedelta(days=1, seconds=30)
>>> parse_timedelta('47.32 days, 20 minutes, 15.4 milliseconds')
datetime.timedelta(days=47, seconds=28848, microseconds=15400)
Supports weeks, months, years
>>> parse_timedelta('1 week')
datetime.timedelta(days=7)
>>> parse_timedelta('1 year, 1 month')
datetime.timedelta(days=395, seconds=58685)
Note that months and years strict intervals, not aligned
to a calendar:
>>> date = datetime.datetime.fromisoformat('2000-01-01')
>>> later = date + parse_timedelta('1 year')
>>> diff = later.replace(year=date.year) - date
>>> diff.seconds
20940
>>> parse_timedelta('foo')
Traceback (most recent call last):
...
ValueError: Unexpected 'foo'
>>> parse_timedelta('14 seconds foo')
Traceback (most recent call last):
...
ValueError: Unexpected 'foo'
Supports abbreviations:
>>> parse_timedelta('1s')
datetime.timedelta(seconds=1)
>>> parse_timedelta('1sec')
datetime.timedelta(seconds=1)
>>> parse_timedelta('5min1sec')
datetime.timedelta(seconds=301)
>>> parse_timedelta('1 ms')
datetime.timedelta(microseconds=1000)
>>> parse_timedelta('1 µs')
datetime.timedelta(microseconds=1)
>>> parse_timedelta('1 us')
datetime.timedelta(microseconds=1)
And supports the common colon-separated duration:
>>> parse_timedelta('14:00:35.362')
datetime.timedelta(seconds=50435, microseconds=362000)
TODO: Should this be 14 hours or 14 minutes?
>>> parse_timedelta('14:00')
datetime.timedelta(seconds=50400)
>>> parse_timedelta('14:00 minutes')
Traceback (most recent call last):
...
ValueError: Cannot specify units with composite delta
Nanoseconds get rounded to the nearest microsecond:
>>> parse_timedelta('600 ns')
datetime.timedelta(microseconds=1)
>>> parse_timedelta('.002 µs, 499 ns')
datetime.timedelta(microseconds=1)
Expect ValueError for other invalid inputs.
>>> parse_timedelta('13 feet')
Traceback (most recent call last):
...
ValueError: Invalid unit feets
| def parse_timedelta(str):
"""
Take a string representing a span of time and parse it to a time delta.
Accepts any string of comma-separated numbers each with a unit indicator.
>>> parse_timedelta('1 day')
datetime.timedelta(days=1)
>>> parse_timedelta('1 day, 30 seconds')
datetime.timedelta(days=1, seconds=30)
>>> parse_timedelta('47.32 days, 20 minutes, 15.4 milliseconds')
datetime.timedelta(days=47, seconds=28848, microseconds=15400)
Supports weeks, months, years
>>> parse_timedelta('1 week')
datetime.timedelta(days=7)
>>> parse_timedelta('1 year, 1 month')
datetime.timedelta(days=395, seconds=58685)
Note that months and years strict intervals, not aligned
to a calendar:
>>> date = datetime.datetime.fromisoformat('2000-01-01')
>>> later = date + parse_timedelta('1 year')
>>> diff = later.replace(year=date.year) - date
>>> diff.seconds
20940
>>> parse_timedelta('foo')
Traceback (most recent call last):
...
ValueError: Unexpected 'foo'
>>> parse_timedelta('14 seconds foo')
Traceback (most recent call last):
...
ValueError: Unexpected 'foo'
Supports abbreviations:
>>> parse_timedelta('1s')
datetime.timedelta(seconds=1)
>>> parse_timedelta('1sec')
datetime.timedelta(seconds=1)
>>> parse_timedelta('5min1sec')
datetime.timedelta(seconds=301)
>>> parse_timedelta('1 ms')
datetime.timedelta(microseconds=1000)
>>> parse_timedelta('1 µs')
datetime.timedelta(microseconds=1)
>>> parse_timedelta('1 us')
datetime.timedelta(microseconds=1)
And supports the common colon-separated duration:
>>> parse_timedelta('14:00:35.362')
datetime.timedelta(seconds=50435, microseconds=362000)
TODO: Should this be 14 hours or 14 minutes?
>>> parse_timedelta('14:00')
datetime.timedelta(seconds=50400)
>>> parse_timedelta('14:00 minutes')
Traceback (most recent call last):
...
ValueError: Cannot specify units with composite delta
Nanoseconds get rounded to the nearest microsecond:
>>> parse_timedelta('600 ns')
datetime.timedelta(microseconds=1)
>>> parse_timedelta('.002 µs, 499 ns')
datetime.timedelta(microseconds=1)
Expect ValueError for other invalid inputs.
>>> parse_timedelta('13 feet')
Traceback (most recent call last):
...
ValueError: Invalid unit feets
"""
return _parse_timedelta_nanos(str).resolve()
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] |
21,542 | tempora | strftime |
Portable strftime.
In the stdlib, strftime has `known portability problems
<https://bugs.python.org/issue13305>`_. This function
aims to smooth over those issues and provide a
consistent experience across the major platforms.
>>> strftime('%Y', datetime.datetime(1890, 1, 1))
'1890'
>>> strftime('%Y', datetime.datetime(900, 1, 1))
'0900'
Supports time.struct_time, tuples, and datetime.datetime objects.
>>> strftime('%Y-%m-%d', (1976, 5, 7))
'1976-05-07'
Also supports date objects
>>> strftime('%Y', datetime.date(1976, 5, 7))
'1976'
Also supports milliseconds using %s.
>>> strftime('%s', datetime.time(microsecond=20000))
'020'
Also supports microseconds (3 digits) using %µ
>>> strftime('%µ', datetime.time(microsecond=123456))
'456'
Historically, %u was used for microseconds, but now
it honors the value rendered by stdlib.
>>> strftime('%u', datetime.date(1976, 5, 7))
'5'
Also supports microseconds (6 digits) using %f
>>> strftime('%f', datetime.time(microsecond=23456))
'023456'
Even supports time values on date objects (discouraged):
>>> strftime('%f', datetime.date(1976, 1, 1))
'000000'
>>> strftime('%µ', datetime.date(1976, 1, 1))
'000'
>>> strftime('%s', datetime.date(1976, 1, 1))
'000'
And vice-versa:
>>> strftime('%Y', datetime.time())
'1900'
| def strftime(fmt: str, t: Union[AnyDatetime, tuple, time.struct_time]) -> str:
"""
Portable strftime.
In the stdlib, strftime has `known portability problems
<https://bugs.python.org/issue13305>`_. This function
aims to smooth over those issues and provide a
consistent experience across the major platforms.
>>> strftime('%Y', datetime.datetime(1890, 1, 1))
'1890'
>>> strftime('%Y', datetime.datetime(900, 1, 1))
'0900'
Supports time.struct_time, tuples, and datetime.datetime objects.
>>> strftime('%Y-%m-%d', (1976, 5, 7))
'1976-05-07'
Also supports date objects
>>> strftime('%Y', datetime.date(1976, 5, 7))
'1976'
Also supports milliseconds using %s.
>>> strftime('%s', datetime.time(microsecond=20000))
'020'
Also supports microseconds (3 digits) using %µ
>>> strftime('%µ', datetime.time(microsecond=123456))
'456'
Historically, %u was used for microseconds, but now
it honors the value rendered by stdlib.
>>> strftime('%u', datetime.date(1976, 5, 7))
'5'
Also supports microseconds (6 digits) using %f
>>> strftime('%f', datetime.time(microsecond=23456))
'023456'
Even supports time values on date objects (discouraged):
>>> strftime('%f', datetime.date(1976, 1, 1))
'000000'
>>> strftime('%µ', datetime.date(1976, 1, 1))
'000'
>>> strftime('%s', datetime.date(1976, 1, 1))
'000'
And vice-versa:
>>> strftime('%Y', datetime.time())
'1900'
"""
t = infer_datetime(t)
subs = (
('%s', '%03d' % (t.microsecond // 1000)),
('%µ', '%03d' % (t.microsecond % 1000)),
) + (('%Y', '%04d' % t.year),) * _needs_year_help()
def doSub(s, sub):
return s.replace(*sub)
def doSubs(s):
return functools.reduce(doSub, subs, s)
fmt = '%%'.join(map(doSubs, fmt.split('%%')))
return t.strftime(fmt)
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21,546 | cptree.cptree | cptree | call _cptree with work_dir from argument or a temp dir | def cptree(*args, output_dir=None, **kwargs):
"""call _cptree with work_dir from argument or a temp dir"""
if output_dir:
output_dir = Path(output_dir)
if not output_dir.is_dir():
output_dir.mkdir()
kwargs["output_dir"] = output_dir
return _cptree(*args, **kwargs)
else:
with TemporaryDirectory() as temp_dir:
kwargs["output_dir"] = Path(temp_dir)
return _cptree(*args, **kwargs)
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21,556 | cleanco.classify | countrysources | business countries / type abbreviations sorted by length of type abbreviations | def countrysources():
"business countries / type abbreviations sorted by length of type abbreviations"
countries = []
for country in terms_by_country:
for item in terms_by_country[country]:
countries.append((country, item))
return sorted(countries, key=lambda part: len(part[1]), reverse=True)
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21,557 | cleanco.classify | matches | get types or countries matching with the legal terms in name | def matches(name, sources):
"get types or countries matching with the legal terms in name"
name = strip_tail(name)
parts = name.split()
nparts = [normalized(p) for p in parts]
matches = []
for classifier, term in sources:
nterm = normalized(term)
try:
idx = nparts.index(nterm)
except ValueError:
pass
else:
matches.append(classifier)
return matches
| (name, sources) | [
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21,559 | cleanco.clean | prepare_default_terms | construct an optimized term structure for basename extraction | def prepare_default_terms():
"construct an optimized term structure for basename extraction"
terms = get_unique_terms()
nterms = normalize_terms(terms)
ntermparts = (t.split() for t in nterms)
# make sure that the result is deterministic, sort terms descending by number of tokens, ascending by names
sntermparts = sorted(ntermparts, key=lambda x: (-len(x), x))
return [(len(tp), tp) for tp in sntermparts]
| () | [
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21,561 | cleanco.classify | typesources | business types / abbreviations sorted by length of business type | def typesources():
"business types / abbreviations sorted by length of business type"
types = []
for business_type in terms_by_type:
for item in terms_by_type[business_type]:
types.append((business_type, item))
return sorted(types, key=lambda part: len(part[1]), reverse=True)
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21,562 | ldsso.ld_sso | SSO | null | class SSO:
LD_SSO_SERVICE_API = os.environ.get("LD_SSO_SERVICE_API")
LD_KEYCLOAK_CLIENT_ID = os.environ.get("LD_KEYCLOAK_CLIENT_ID")
LD_NAMESPACE = os.environ.get("LD_NAMESPACE")
LD_HOSTNAME = os.environ.get("HOSTNAME", "")
LD_URI_PREFIX = os.environ.get("LD_URI_PREFIX", "")
URI_USERINFO = "userinfo"
URI_JUDGE = "judge"
URI_POLICY = "policies"
def __init__(
self, token, host=None, api_prefix="/api/access-policy/", max_retries=3
):
assert token, "token must be provided"
if not host:
host = self.LD_SSO_SERVICE_API
assert host, f"environment variable $LD_SSO_SERVICE_API not set"
self.sso_url = urljoin(host, api_prefix)
if not self.sso_url.endswith("/"):
self.sso_url = self.sso_url + "/"
self.r = requests.Session()
self.r.mount("http://", HTTPAdapter(max_retries=max_retries))
self.r.mount("https://", HTTPAdapter(max_retries=max_retries))
self.r.headers = {
"Content-Type": "application/vnd.api+json",
"Authorization": token,
}
self.userinfo = self.get_userinfo(token)
def __handle_response(self, response: Response, success_code=200):
status_code = response.status_code
if status_code != success_code:
try:
error_message = response.json()["error_message"]
except:
error_message = response.text
abort(status_code, error_message)
def get_userinfo(self, token=None):
"""获取用户信息"""
url = urljoin(self.sso_url, self.URI_USERINFO)
headers = self.r.headers
if token:
headers = {**headers, "Authorization": token}
response = self.r.get(url, headers=headers)
self.__handle_response(response)
return response.json()
def judge_api(self, ld_project, api_url, method):
"""检测用户是否允许请求服务"""
url = urljoin(self.sso_url, self.URI_JUDGE)
headers = {**self.r.headers, "Ld-Project": quote(ld_project)}
params = {"url": api_url, "method": method}
response = self.r.get(url, params=params, headers=headers)
self.__handle_response(response)
res = response.json()
return res["effect"] == "allow", res
def judge_resource(self, action, resource):
"""检测用户是否允许请求数据"""
url = urljoin(self.sso_url, self.URI_JUDGE)
data = [{"action": action, "resource": resource}]
response = self.r.post(url, json=data)
self.__handle_response(response)
res = response.json()
return res["effect"] == "allow", res
def create_policy(
self,
name: str,
statements: list[dict[str, str]],
description: str = None,
version: str = None,
):
"""
创建policy声明
statements: [
{
"sid": "xxxxx",
"effect": "Allow",
"action": ["x"],
"resource": ["x"],
}
]
"""
url = urljoin(self.sso_url, self.URI_POLICY)
if description is None:
description = name
if version is None:
version = "v1"
assert statements, '"statements" must be provided'
data = {
"name": name,
"description": description,
"statements": {"Version": version, "Statement": statements},
}
response = self.r.post(url, json=data)
self.__handle_response(response)
return response.json()
@classmethod
def decorator_judge_api(
cls,
client_name: str = None,
api_url: str = None,
**sso_kwargs,
):
"""装饰器, 检测用户是否允许请求当前接口.
- 从被装饰函数的Request参数中解析method.
- 从环境变量LD_NAMESPACE中提取ld_project.
Args:
client_name (str, optional): 默认从环境变量LD_KEYCLOAK_CLIENT_ID中提取client_name.
api_url (str, optional): 应与action的apis中一致. 默认先从环境变量LD_URI_PREFIX取, 取不到再从pod的hostname中解析, 本地调试请手动传入该参数.
Returns:
装饰后,Request参数会追加ld_account,ld_roles,ld_userinfo属性
"""
if not api_url:
if cls.LD_URI_PREFIX:
api_url = cls.LD_URI_PREFIX
elif cls.LD_HOSTNAME.startswith("func-"):
api_url = f'/api/{"_".join(cls.LD_HOSTNAME.split("-")[:-2])}'
assert api_url, '"api_url" is required'
ld_namespace = cls.LD_NAMESPACE
assert ld_namespace, "ENV $LD_NAMESPACE is required"
func = None
if client_name and callable(client_name):
func = client_name
client_name = None
if not client_name:
client_name = cls.LD_KEYCLOAK_CLIENT_ID
assert client_name, f"ENV $LD_KEYCLOAK_CLIENT_ID is required"
def decorator(func):
def wrapper(*args, **kwargs):
req = None
for req in (*args, *kwargs.values()):
if isinstance(req, Request):
break
if getattr(req, "request", None) and isinstance(
req.request, Request
):
req = req.request
break
method = getattr(req, "method", None)
assert method, "decorated function must have a Request argument"
token = req.headers.get("Authorization")
assert token, "Authorization is required"
sso = cls(token=token, **sso_kwargs)
api_allowed, res = sso.judge_api(unquote(ld_namespace), api_url, method)
assert api_allowed, f"Deny. Sid: {res['sid']}"
account = sso.userinfo["preferred_username"]
all_roles = (
sso.userinfo["resource_access"]
.get(client_name, {})
.get("roles", [])
)
setattr(req, "ld_account", account)
setattr(req, "ld_roles", all_roles)
setattr(req, "ld_userinfo", sso.userinfo)
return func(*args, **kwargs)
return wrapper
if func and callable(func):
return decorator(func)
return decorator
@classmethod
def decorator_cors(cls, func):
"""装饰器. 修改view返回的Response的headers, 允许所有跨域请求"""
def wrapper(*args, **kwargs):
req = None
for req in (*args, *kwargs.values()):
if isinstance(req, Request):
break
if getattr(req, "request", None) and isinstance(req.request, Request):
req = req.request
break
assert req, "Decorated function must have a Request argument"
response_headers = {
"Access-Control-Allow-Origin": req.headers.get("Origin") or "*",
"Access-Control-Allow-Headers": "Ld-Client,Ld-Project,Content-Type,Content-Length,User-Agent,Authorization,Accept,X-Requested-With",
"Access-Control-Allow-Methods": "GET,POST,PUT,PATCH,DELETE,OPTIONS",
"Access-Control-Allow-Credentials": "true",
}
if req.method == "OPTIONS":
resp = make_response()
else:
try:
view_res = func(*args, **kwargs)
except HTTPException as e:
view_res = e.get_response()
except:
logging.exception("View has not catch error.")
view_res = "", 500
if isinstance(view_res, Response):
resp = view_res
else:
resp = make_response(view_res)
for h, v in response_headers.items():
resp.headers[h] = v
return resp
return wrapper
| (token, host=None, api_prefix='/api/access-policy/', max_retries=3) | [
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21,563 | ldsso.ld_sso | __handle_response | null | def __handle_response(self, response: Response, success_code=200):
status_code = response.status_code
if status_code != success_code:
try:
error_message = response.json()["error_message"]
except:
error_message = response.text
abort(status_code, error_message)
| (self, response: flask.wrappers.Response, success_code=200) | [
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21,564 | ldsso.ld_sso | __init__ | null | def __init__(
self, token, host=None, api_prefix="/api/access-policy/", max_retries=3
):
assert token, "token must be provided"
if not host:
host = self.LD_SSO_SERVICE_API
assert host, f"environment variable $LD_SSO_SERVICE_API not set"
self.sso_url = urljoin(host, api_prefix)
if not self.sso_url.endswith("/"):
self.sso_url = self.sso_url + "/"
self.r = requests.Session()
self.r.mount("http://", HTTPAdapter(max_retries=max_retries))
self.r.mount("https://", HTTPAdapter(max_retries=max_retries))
self.r.headers = {
"Content-Type": "application/vnd.api+json",
"Authorization": token,
}
self.userinfo = self.get_userinfo(token)
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21,565 | ldsso.ld_sso | create_policy |
创建policy声明
statements: [
{
"sid": "xxxxx",
"effect": "Allow",
"action": ["x"],
"resource": ["x"],
}
]
| def create_policy(
self,
name: str,
statements: list[dict[str, str]],
description: str = None,
version: str = None,
):
"""
创建policy声明
statements: [
{
"sid": "xxxxx",
"effect": "Allow",
"action": ["x"],
"resource": ["x"],
}
]
"""
url = urljoin(self.sso_url, self.URI_POLICY)
if description is None:
description = name
if version is None:
version = "v1"
assert statements, '"statements" must be provided'
data = {
"name": name,
"description": description,
"statements": {"Version": version, "Statement": statements},
}
response = self.r.post(url, json=data)
self.__handle_response(response)
return response.json()
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21,566 | ldsso.ld_sso | get_userinfo | 获取用户信息 | def get_userinfo(self, token=None):
"""获取用户信息"""
url = urljoin(self.sso_url, self.URI_USERINFO)
headers = self.r.headers
if token:
headers = {**headers, "Authorization": token}
response = self.r.get(url, headers=headers)
self.__handle_response(response)
return response.json()
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21,567 | ldsso.ld_sso | judge_api | 检测用户是否允许请求服务 | def judge_api(self, ld_project, api_url, method):
"""检测用户是否允许请求服务"""
url = urljoin(self.sso_url, self.URI_JUDGE)
headers = {**self.r.headers, "Ld-Project": quote(ld_project)}
params = {"url": api_url, "method": method}
response = self.r.get(url, params=params, headers=headers)
self.__handle_response(response)
res = response.json()
return res["effect"] == "allow", res
| (self, ld_project, api_url, method) | [
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21,568 | ldsso.ld_sso | judge_resource | 检测用户是否允许请求数据 | def judge_resource(self, action, resource):
"""检测用户是否允许请求数据"""
url = urljoin(self.sso_url, self.URI_JUDGE)
data = [{"action": action, "resource": resource}]
response = self.r.post(url, json=data)
self.__handle_response(response)
res = response.json()
return res["effect"] == "allow", res
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] |
21,570 | delorean.dates | Delorean |
The class `Delorean <Delorean>` object. This method accepts naive
datetime objects, with a string timezone.
| class Delorean(object):
"""
The class `Delorean <Delorean>` object. This method accepts naive
datetime objects, with a string timezone.
"""
_VALID_SHIFT_DIRECTIONS = ('last', 'next')
_VALID_SHIFT_UNITS = ('second', 'minute', 'hour', 'day', 'week',
'month', 'year', 'monday', 'tuesday', 'wednesday',
'thursday', 'friday', 'saturday', 'sunday')
def __init__(self, datetime=None, timezone=None):
# maybe set timezone on the way in here. if here set it if not
# use UTC
is_datetime_instance(datetime)
if datetime:
if is_datetime_naive(datetime):
if timezone:
if isinstance(timezone, tzoffset):
utcoffset = timezone.utcoffset(None)
total_seconds = (
(utcoffset.microseconds + (
utcoffset.seconds + utcoffset.days * 24 * 3600) * 10 ** 6) / 10 ** 6)
self._tzinfo = pytz.FixedOffset(total_seconds / 60)
elif isinstance(timezone, tzinfo):
self._tzinfo = timezone
else:
self._tzinfo = pytz.timezone(timezone)
self._dt = localize(datetime, self._tzinfo)
self._tzinfo = self._dt.tzinfo
else:
# TODO(mlew, 2015-08-09):
# Should we really throw an error here, or should this
# default to UTC?)
raise DeloreanInvalidTimezone('Provide a valid timezone')
else:
self._tzinfo = datetime.tzinfo
self._dt = datetime
else:
if timezone:
if isinstance(timezone, tzoffset):
self._tzinfo = pytz.FixedOffset(timezone.utcoffset(None).total_seconds() / 60)
elif isinstance(timezone, tzinfo):
self._tzinfo = timezone
else:
self._tzinfo = pytz.timezone(timezone)
self._dt = datetime_timezone(self._tzinfo)
self._tzinfo = self._dt.tzinfo
else:
self._tzinfo = pytz.utc
self._dt = datetime_timezone('UTC')
def __repr__(self):
dt = self.datetime.replace(tzinfo=None)
if isinstance(self.timezone, pytz._FixedOffset):
tz = self.timezone
else:
tz = self.timezone.tzname(None)
return 'Delorean(datetime=%r, timezone=%r)' % (dt, tz)
def __eq__(self, other):
if isinstance(other, Delorean):
return self.epoch == other.epoch
return False
def __lt__(self, other):
return self.epoch < other.epoch
def __gt__(self, other):
return self.epoch > other.epoch
def __ge__(self, other):
return self.epoch >= other.epoch
def __le__(self, other):
return self.epoch <= other.epoch
def __ne__(self, other):
return not self == other
def __add__(self, other):
if not isinstance(other, timedelta):
raise TypeError("Delorean objects can only be added with timedelta objects")
dt = self._dt + other
return Delorean(datetime=dt, timezone=self.timezone)
def __sub__(self, other):
if isinstance(other, timedelta):
dt = self._dt - other
return Delorean(datetime=dt, timezone=self.timezone)
elif isinstance(other, Delorean):
return self._dt - other._dt
else:
raise TypeError("Delorean objects can only be subtracted with timedelta or other Delorean objects")
def __getattr__(self, name):
"""
Implement __getattr__ to call `shift_date` function when function
called does not exist
"""
func_parts = name.split('_')
# is the func we are trying to call the right length?
if len(func_parts) != 2:
raise AttributeError
# is the function we are trying to call valid?
if (func_parts[0] not in self._VALID_SHIFT_DIRECTIONS or
func_parts[1] not in self._VALID_SHIFT_UNITS):
return AttributeError
# dispatch our function
func = partial(self._shift_date, func_parts[0], func_parts[1])
# update our partial with self.shift_date attributes
update_wrapper(func, self._shift_date)
return func
def _shift_date(self, direction, unit, *args):
"""
Shift datetime in `direction` in _VALID_SHIFT_DIRECTIONS and by some
unit in _VALID_SHIFTS and shift that amount by some multiple,
defined by by args[0] if it exists
"""
this_module = sys.modules[__name__]
num_shifts = 1
if len(args) > 0:
num_shifts = int(args[0])
if unit in ['monday', 'tuesday', 'wednesday', 'thursday', 'friday',
'saturday', 'sunday']:
shift_func = move_datetime_namedday
dt = shift_func(self._dt, direction, unit)
if num_shifts > 1:
for n in range(num_shifts - 1):
dt = shift_func(dt, direction, unit)
else:
shift_func = getattr(this_module, 'move_datetime_%s' % unit)
dt = shift_func(self._dt, direction, num_shifts)
return Delorean(datetime=dt.replace(tzinfo=None), timezone=self.timezone)
@property
def timezone(self):
"""
Returns a valid tzinfo object associated with
the Delorean object.
.. testsetup::
from datetime import datetime
from delorean import Delorean
.. doctest::
>>> d = Delorean(datetime(2015, 1, 1), timezone='UTC')
>>> d.timezone
<UTC>
"""
return self._tzinfo
def truncate(self, s):
"""
Truncate the delorian object to the nearest s
(second, minute, hour, day, month, year)
This is a destructive method, modifies the internal datetime
object associated with the Delorean object.
.. testsetup::
from datetime import datetime
from delorean import Delorean
.. doctest::
>>> d = Delorean(datetime(2015, 1, 1, 12, 10), timezone='US/Pacific')
>>> d.truncate('hour')
Delorean(datetime=datetime.datetime(2015, 1, 1, 12, 0), timezone='US/Pacific')
"""
if s == 'second':
self._dt = self._dt.replace(microsecond=0)
elif s == 'minute':
self._dt = self._dt.replace(second=0, microsecond=0)
elif s == 'hour':
self._dt = self._dt.replace(minute=0, second=0, microsecond=0)
elif s == 'day':
self._dt = self._dt.replace(hour=0, minute=0, second=0, microsecond=0)
elif s == 'month':
self._dt = self._dt.replace(day=1, hour=0, minute=0, second=0, microsecond=0)
elif s == 'year':
self._dt = self._dt.replace(month=1, day=1, hour=0, minute=0, second=0, microsecond=0)
else:
raise ValueError("Invalid truncation level")
return self
@property
def naive(self):
"""
Returns a naive datetime object associated with the Delorean
object, this method simply converts the localize datetime to UTC
and removes the tzinfo that is associated with it modifying the Delorean object.
.. testsetup::
from datetime import datetime
from delorean import Delorean
.. doctest::
>>> d = Delorean(datetime(2015, 1, 1), timezone='US/Pacific')
>>> d.naive
datetime.datetime(2015, 1, 1, 8, 0)
"""
self.shift('UTC')
return self._dt.replace(tzinfo=None)
@classmethod
def now(cls, timezone=None):
if timezone:
return cls(timezone=timezone)
else:
return cls(timezone=get_localzone())
@classmethod
def utcnow(cls):
return cls()
@property
def midnight(self):
"""
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21,571 | delorean.dates | __add__ | null | def __add__(self, other):
if not isinstance(other, timedelta):
raise TypeError("Delorean objects can only be added with timedelta objects")
dt = self._dt + other
return Delorean(datetime=dt, timezone=self.timezone)
| (self, other) | [
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21,572 | delorean.dates | __eq__ | null | def __eq__(self, other):
if isinstance(other, Delorean):
return self.epoch == other.epoch
return False
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21,573 | delorean.dates | __ge__ | null | def __ge__(self, other):
return self.epoch >= other.epoch
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21,574 | delorean.dates | __getattr__ |
Implement __getattr__ to call `shift_date` function when function
called does not exist
| def __getattr__(self, name):
"""
Implement __getattr__ to call `shift_date` function when function
called does not exist
"""
func_parts = name.split('_')
# is the func we are trying to call the right length?
if len(func_parts) != 2:
raise AttributeError
# is the function we are trying to call valid?
if (func_parts[0] not in self._VALID_SHIFT_DIRECTIONS or
func_parts[1] not in self._VALID_SHIFT_UNITS):
return AttributeError
# dispatch our function
func = partial(self._shift_date, func_parts[0], func_parts[1])
# update our partial with self.shift_date attributes
update_wrapper(func, self._shift_date)
return func
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21,575 | delorean.dates | __gt__ | null | def __gt__(self, other):
return self.epoch > other.epoch
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21,576 | delorean.dates | __init__ | null | def __init__(self, datetime=None, timezone=None):
# maybe set timezone on the way in here. if here set it if not
# use UTC
is_datetime_instance(datetime)
if datetime:
if is_datetime_naive(datetime):
if timezone:
if isinstance(timezone, tzoffset):
utcoffset = timezone.utcoffset(None)
total_seconds = (
(utcoffset.microseconds + (
utcoffset.seconds + utcoffset.days * 24 * 3600) * 10 ** 6) / 10 ** 6)
self._tzinfo = pytz.FixedOffset(total_seconds / 60)
elif isinstance(timezone, tzinfo):
self._tzinfo = timezone
else:
self._tzinfo = pytz.timezone(timezone)
self._dt = localize(datetime, self._tzinfo)
self._tzinfo = self._dt.tzinfo
else:
# TODO(mlew, 2015-08-09):
# Should we really throw an error here, or should this
# default to UTC?)
raise DeloreanInvalidTimezone('Provide a valid timezone')
else:
self._tzinfo = datetime.tzinfo
self._dt = datetime
else:
if timezone:
if isinstance(timezone, tzoffset):
self._tzinfo = pytz.FixedOffset(timezone.utcoffset(None).total_seconds() / 60)
elif isinstance(timezone, tzinfo):
self._tzinfo = timezone
else:
self._tzinfo = pytz.timezone(timezone)
self._dt = datetime_timezone(self._tzinfo)
self._tzinfo = self._dt.tzinfo
else:
self._tzinfo = pytz.utc
self._dt = datetime_timezone('UTC')
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21,577 | delorean.dates | __le__ | null | def __le__(self, other):
return self.epoch <= other.epoch
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21,578 | delorean.dates | __lt__ | null | def __lt__(self, other):
return self.epoch < other.epoch
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21,580 | delorean.dates | __repr__ | null | def __repr__(self):
dt = self.datetime.replace(tzinfo=None)
if isinstance(self.timezone, pytz._FixedOffset):
tz = self.timezone
else:
tz = self.timezone.tzname(None)
return 'Delorean(datetime=%r, timezone=%r)' % (dt, tz)
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21,581 | delorean.dates | __sub__ | null | def __sub__(self, other):
if isinstance(other, timedelta):
dt = self._dt - other
return Delorean(datetime=dt, timezone=self.timezone)
elif isinstance(other, Delorean):
return self._dt - other._dt
else:
raise TypeError("Delorean objects can only be subtracted with timedelta or other Delorean objects")
| (self, other) | [
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21,582 | delorean.dates | _shift_date |
Shift datetime in `direction` in _VALID_SHIFT_DIRECTIONS and by some
unit in _VALID_SHIFTS and shift that amount by some multiple,
defined by by args[0] if it exists
| def _shift_date(self, direction, unit, *args):
"""
Shift datetime in `direction` in _VALID_SHIFT_DIRECTIONS and by some
unit in _VALID_SHIFTS and shift that amount by some multiple,
defined by by args[0] if it exists
"""
this_module = sys.modules[__name__]
num_shifts = 1
if len(args) > 0:
num_shifts = int(args[0])
if unit in ['monday', 'tuesday', 'wednesday', 'thursday', 'friday',
'saturday', 'sunday']:
shift_func = move_datetime_namedday
dt = shift_func(self._dt, direction, unit)
if num_shifts > 1:
for n in range(num_shifts - 1):
dt = shift_func(dt, direction, unit)
else:
shift_func = getattr(this_module, 'move_datetime_%s' % unit)
dt = shift_func(self._dt, direction, num_shifts)
return Delorean(datetime=dt.replace(tzinfo=None), timezone=self.timezone)
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21,583 | delorean.dates | format_datetime |
Return a date string formatted to the given pattern.
.. testsetup::
from delorean import Delorean
.. doctest::
>>> d = Delorean(datetime(2015, 1, 1, 12, 30), timezone='US/Pacific')
>>> d.format_datetime(locale='en_US')
u'Jan 1, 2015, 12:30:00 PM'
>>> d.format_datetime(format='long', locale='de_DE')
u'1. Januar 2015 12:30:00 -0800'
:param format: one of "full", "long", "medium", "short", or a custom datetime pattern
:param locale: a locale identifier
| def format_datetime(self, format='medium', locale='en_US'):
"""
Return a date string formatted to the given pattern.
.. testsetup::
from delorean import Delorean
.. doctest::
>>> d = Delorean(datetime(2015, 1, 1, 12, 30), timezone='US/Pacific')
>>> d.format_datetime(locale='en_US')
u'Jan 1, 2015, 12:30:00 PM'
>>> d.format_datetime(format='long', locale='de_DE')
u'1. Januar 2015 12:30:00 -0800'
:param format: one of "full", "long", "medium", "short", or a custom datetime pattern
:param locale: a locale identifier
"""
return format_datetime(self._dt, format=format, locale=locale)
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21,584 | delorean.dates | humanize |
Humanize relative to now:
.. testsetup::
from datetime import timedelta
from delorean import Delorean
.. doctest::
>>> past = Delorean.utcnow() - timedelta(hours=1)
>>> past.humanize()
'an hour ago'
| def humanize(self):
"""
Humanize relative to now:
.. testsetup::
from datetime import timedelta
from delorean import Delorean
.. doctest::
>>> past = Delorean.utcnow() - timedelta(hours=1)
>>> past.humanize()
'an hour ago'
"""
now = self.now(self.timezone)
return humanize.naturaltime(now - self)
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21,585 | delorean.dates | replace |
Returns a new Delorean object after applying replace on the
existing datetime object.
.. testsetup::
from datetime import datetime
from delorean import Delorean
.. doctest::
>>> d = Delorean(datetime(2015, 1, 1, 12, 15), timezone='UTC')
>>> d.replace(hour=8)
Delorean(datetime=datetime.datetime(2015, 1, 1, 8, 15), timezone='UTC')
| def replace(self, **kwargs):
"""
Returns a new Delorean object after applying replace on the
existing datetime object.
.. testsetup::
from datetime import datetime
from delorean import Delorean
.. doctest::
>>> d = Delorean(datetime(2015, 1, 1, 12, 15), timezone='UTC')
>>> d.replace(hour=8)
Delorean(datetime=datetime.datetime(2015, 1, 1, 8, 15), timezone='UTC')
"""
return Delorean(datetime=self._dt.replace(**kwargs), timezone=self.timezone)
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21,586 | delorean.dates | shift |
Shifts the timezone from the current timezone to the specified timezone associated with the Delorean object,
modifying the Delorean object and returning the modified object.
.. testsetup::
from datetime import datetime
from delorean import Delorean
.. doctest::
>>> d = Delorean(datetime(2015, 1, 1), timezone='US/Pacific')
>>> d.shift('UTC')
Delorean(datetime=datetime.datetime(2015, 1, 1, 8, 0), timezone='UTC')
| def shift(self, timezone):
"""
Shifts the timezone from the current timezone to the specified timezone associated with the Delorean object,
modifying the Delorean object and returning the modified object.
.. testsetup::
from datetime import datetime
from delorean import Delorean
.. doctest::
>>> d = Delorean(datetime(2015, 1, 1), timezone='US/Pacific')
>>> d.shift('UTC')
Delorean(datetime=datetime.datetime(2015, 1, 1, 8, 0), timezone='UTC')
"""
try:
self._tzinfo = pytz.timezone(timezone)
except pytz.UnknownTimeZoneError:
raise DeloreanInvalidTimezone('Provide a valid timezone')
self._dt = self._tzinfo.normalize(self._dt.astimezone(self._tzinfo))
self._tzinfo = self._dt.tzinfo
return self
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] |
21,587 | delorean.dates | truncate |
Truncate the delorian object to the nearest s
(second, minute, hour, day, month, year)
This is a destructive method, modifies the internal datetime
object associated with the Delorean object.
.. testsetup::
from datetime import datetime
from delorean import Delorean
.. doctest::
>>> d = Delorean(datetime(2015, 1, 1, 12, 10), timezone='US/Pacific')
>>> d.truncate('hour')
Delorean(datetime=datetime.datetime(2015, 1, 1, 12, 0), timezone='US/Pacific')
| def truncate(self, s):
"""
Truncate the delorian object to the nearest s
(second, minute, hour, day, month, year)
This is a destructive method, modifies the internal datetime
object associated with the Delorean object.
.. testsetup::
from datetime import datetime
from delorean import Delorean
.. doctest::
>>> d = Delorean(datetime(2015, 1, 1, 12, 10), timezone='US/Pacific')
>>> d.truncate('hour')
Delorean(datetime=datetime.datetime(2015, 1, 1, 12, 0), timezone='US/Pacific')
"""
if s == 'second':
self._dt = self._dt.replace(microsecond=0)
elif s == 'minute':
self._dt = self._dt.replace(second=0, microsecond=0)
elif s == 'hour':
self._dt = self._dt.replace(minute=0, second=0, microsecond=0)
elif s == 'day':
self._dt = self._dt.replace(hour=0, minute=0, second=0, microsecond=0)
elif s == 'month':
self._dt = self._dt.replace(day=1, hour=0, minute=0, second=0, microsecond=0)
elif s == 'year':
self._dt = self._dt.replace(month=1, day=1, hour=0, minute=0, second=0, microsecond=0)
else:
raise ValueError("Invalid truncation level")
return self
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] |
21,588 | delorean.exceptions | DeloreanInvalidDatetime |
Exception that is raised when an improper datetime object is passed
in.
| class DeloreanInvalidDatetime(DeloreanError):
"""
Exception that is raised when an improper datetime object is passed
in.
"""
pass
| (msg) | [
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21,589 | delorean.exceptions | __init__ | null | def __init__(self, msg):
self.msg = str(msg)
Exception.__init__(self, msg)
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21,590 | delorean.exceptions | __str__ | null | def __str__(self):
return self.msg
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21,591 | delorean.exceptions | DeloreanInvalidTimezone |
Exception that is raised when an invalid timezone is passed in.
| class DeloreanInvalidTimezone(DeloreanError):
"""
Exception that is raised when an invalid timezone is passed in.
"""
pass
| (msg) | [
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] |
21,595 | delorean.dates | datetime_timezone |
This method given a timezone returns a localized datetime object.
| def datetime_timezone(tz):
"""
This method given a timezone returns a localized datetime object.
"""
utc_datetime_naive = datetime.utcnow()
# return a localized datetime to UTC
utc_localized_datetime = localize(utc_datetime_naive, 'UTC')
# normalize the datetime to given timezone
normalized_datetime = normalize(utc_localized_datetime, tz)
return normalized_datetime
| (tz) | [
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21,596 | delorean.interface | epoch | null | def epoch(s):
dt = datetime.utcfromtimestamp(s)
return Delorean(datetime=dt, timezone='UTC')
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] |
21,598 | delorean.interface | flux | null | def flux():
print("If you put your mind to it, you can accomplish anything.")
| () | [
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] |
21,600 | delorean.dates | localize |
Given a naive datetime object this method will return a localized
datetime object
| def localize(dt, tz):
"""
Given a naive datetime object this method will return a localized
datetime object
"""
if not isinstance(tz, tzinfo):
tz = pytz.timezone(tz)
return tz.localize(dt)
| (dt, tz) | [
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21,601 | delorean.dates | move_datetime_day | null | def move_datetime_day(dt, direction, num_shifts):
delta = relativedelta(days=+num_shifts)
return _move_datetime(dt, direction, delta)
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21,602 | delorean.dates | move_datetime_hour | null | def move_datetime_hour(dt, direction, num_shifts):
delta = relativedelta(hours=+num_shifts)
return _move_datetime(dt, direction, delta)
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21,603 | delorean.dates | move_datetime_minute | null | def move_datetime_minute(dt, direction, num_shifts):
delta = relativedelta(minutes=+num_shifts)
return _move_datetime(dt, direction, delta)
| (dt, direction, num_shifts) | [
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] |
21,604 | delorean.dates | move_datetime_month |
Move datetime 1 month in the chosen direction.
unit is a no-op, to keep the API the same as the day case
| def move_datetime_month(dt, direction, num_shifts):
"""
Move datetime 1 month in the chosen direction.
unit is a no-op, to keep the API the same as the day case
"""
delta = relativedelta(months=+num_shifts)
return _move_datetime(dt, direction, delta)
| (dt, direction, num_shifts) | [
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21,605 | delorean.dates | move_datetime_namedday | null | def move_datetime_namedday(dt, direction, unit):
TOTAL_DAYS = 7
days = {
'monday': 1,
'tuesday': 2,
'wednesday': 3,
'thursday': 4,
'friday': 5,
'saturday': 6,
'sunday': 7,
}
current_day = days[dt.strftime('%A').lower()]
target_day = days[unit.lower()]
if direction == 'next':
if current_day < target_day:
delta_days = target_day - current_day
else:
delta_days = (target_day - current_day) + TOTAL_DAYS
elif direction == 'last':
if current_day <= target_day:
delta_days = (current_day - target_day) + TOTAL_DAYS
else:
delta_days = current_day - target_day
delta = relativedelta(days=+delta_days)
return _move_datetime(dt, direction, delta)
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21,606 | delorean.dates | move_datetime_second | null | def move_datetime_second(dt, direction, num_shifts):
delta = relativedelta(seconds=+num_shifts)
return _move_datetime(dt, direction, delta)
| (dt, direction, num_shifts) | [
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] |
21,607 | delorean.dates | move_datetime_week |
Move datetime 1 week in the chosen direction.
unit is a no-op, to keep the API the same as the day case
| def move_datetime_week(dt, direction, num_shifts):
"""
Move datetime 1 week in the chosen direction.
unit is a no-op, to keep the API the same as the day case
"""
delta = relativedelta(weeks=+num_shifts)
return _move_datetime(dt, direction, delta)
| (dt, direction, num_shifts) | [
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] |
21,608 | delorean.dates | move_datetime_year |
Move datetime 1 year in the chosen direction.
unit is a no-op, to keep the API the same as the day case
| def move_datetime_year(dt, direction, num_shifts):
"""
Move datetime 1 year in the chosen direction.
unit is a no-op, to keep the API the same as the day case
"""
delta = relativedelta(years=+num_shifts)
return _move_datetime(dt, direction, delta)
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] |
21,609 | delorean.dates | normalize |
Given a object with a timezone return a datetime object
normalized to the proper timezone.
This means take the give localized datetime and returns the
datetime normalized to match the specificed timezone.
| def normalize(dt, tz):
"""
Given a object with a timezone return a datetime object
normalized to the proper timezone.
This means take the give localized datetime and returns the
datetime normalized to match the specificed timezone.
"""
if not isinstance(tz, tzinfo):
tz = pytz.timezone(tz)
dt = tz.normalize(dt)
return dt
| (dt, tz) | [
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21,610 | delorean.interface | now |
Return a Delorean object for the current local date and time, setting the timezone to the local timezone of the
caller.
| def now():
"""
Return a Delorean object for the current local date and time, setting the timezone to the local timezone of the
caller.
"""
return Delorean(timezone=get_localzone())
| () | [
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] |
21,611 | delorean.interface | parse |
Parses a datetime string and returns a `Delorean` object.
:param datetime_str: The string to be interpreted into a `Delorean` object.
:param timezone: Pass this parameter and the returned Delorean object will be normalized to this timezone. Any
offsets passed as part of datetime_str will be ignored.
:param dayfirst: Whether to interpret the first value in an ambiguous 3-integer date (ex. 01/05/09) as the day
(True) or month (False). If yearfirst is set to True, this distinguishes between YDM and YMD.
:param yearfirst: Whether to interpret the first value in an ambiguous 3-integer date (ex. 01/05/09) as the
year. If True, the first number is taken to be the year, otherwise the last number is taken to be the year.
.. testsetup::
from delorean import Delorean
from delorean import parse
.. doctest::
>>> parse('2015-01-01 00:01:02')
Delorean(datetime=datetime.datetime(2015, 1, 1, 0, 1, 2), timezone='UTC')
If a fixed offset is provided in the datetime_str, it will be parsed and the returned `Delorean` object will store a
`pytz.FixedOffest` as it's timezone.
.. doctest::
>>> parse('2015-01-01 00:01:02 -0800')
Delorean(datetime=datetime.datetime(2015, 1, 1, 0, 1, 2), timezone=pytz.FixedOffset(-480))
If the timezone argument is supplied, the returned Delorean object will be in the timezone supplied. Any offsets in
the datetime_str will be ignored.
.. doctest::
>>> parse('2015-01-01 00:01:02 -0500', timezone='US/Pacific')
Delorean(datetime=datetime.datetime(2015, 1, 1, 0, 1, 2), timezone='US/Pacific')
If an unambiguous timezone is detected in the datetime string, a Delorean object with that datetime and
timezone will be returned.
.. doctest::
>>> parse('2015-01-01 00:01:02 PST')
Delorean(datetime=datetime.datetime(2015, 1, 1, 0, 1, 2), timezone='America/Los_Angeles')
However if the provided timezone is ambiguous, parse will ignore the timezone and return a `Delorean` object in UTC
time.
>>> parse('2015-01-01 00:01:02 EST')
Delorean(datetime=datetime.datetime(2015, 1, 1, 0, 1, 2), timezone='UTC')
| def parse(datetime_str, timezone=None, dayfirst=True, yearfirst=True):
"""
Parses a datetime string and returns a `Delorean` object.
:param datetime_str: The string to be interpreted into a `Delorean` object.
:param timezone: Pass this parameter and the returned Delorean object will be normalized to this timezone. Any
offsets passed as part of datetime_str will be ignored.
:param dayfirst: Whether to interpret the first value in an ambiguous 3-integer date (ex. 01/05/09) as the day
(True) or month (False). If yearfirst is set to True, this distinguishes between YDM and YMD.
:param yearfirst: Whether to interpret the first value in an ambiguous 3-integer date (ex. 01/05/09) as the
year. If True, the first number is taken to be the year, otherwise the last number is taken to be the year.
.. testsetup::
from delorean import Delorean
from delorean import parse
.. doctest::
>>> parse('2015-01-01 00:01:02')
Delorean(datetime=datetime.datetime(2015, 1, 1, 0, 1, 2), timezone='UTC')
If a fixed offset is provided in the datetime_str, it will be parsed and the returned `Delorean` object will store a
`pytz.FixedOffest` as it's timezone.
.. doctest::
>>> parse('2015-01-01 00:01:02 -0800')
Delorean(datetime=datetime.datetime(2015, 1, 1, 0, 1, 2), timezone=pytz.FixedOffset(-480))
If the timezone argument is supplied, the returned Delorean object will be in the timezone supplied. Any offsets in
the datetime_str will be ignored.
.. doctest::
>>> parse('2015-01-01 00:01:02 -0500', timezone='US/Pacific')
Delorean(datetime=datetime.datetime(2015, 1, 1, 0, 1, 2), timezone='US/Pacific')
If an unambiguous timezone is detected in the datetime string, a Delorean object with that datetime and
timezone will be returned.
.. doctest::
>>> parse('2015-01-01 00:01:02 PST')
Delorean(datetime=datetime.datetime(2015, 1, 1, 0, 1, 2), timezone='America/Los_Angeles')
However if the provided timezone is ambiguous, parse will ignore the timezone and return a `Delorean` object in UTC
time.
>>> parse('2015-01-01 00:01:02 EST')
Delorean(datetime=datetime.datetime(2015, 1, 1, 0, 1, 2), timezone='UTC')
"""
dt = capture(datetime_str, dayfirst=dayfirst, yearfirst=yearfirst)
if timezone:
dt = dt.replace(tzinfo=None)
do = Delorean(datetime=dt, timezone=timezone)
elif dt.tzinfo is None:
# assuming datetime object passed in is UTC
do = Delorean(datetime=dt, timezone='UTC')
elif isinstance(dt.tzinfo, tzoffset):
utcoffset = dt.tzinfo.utcoffset(None)
total_seconds = (
(utcoffset.microseconds + (utcoffset.seconds + utcoffset.days * 24 * 3600) * 10**6) / 10**6)
tz = pytz.FixedOffset(total_seconds / 60)
dt = dt.replace(tzinfo=None)
do = Delorean(dt, timezone=tz)
elif isinstance(dt.tzinfo, tzlocal):
tz = get_localzone()
dt = dt.replace(tzinfo=None)
do = Delorean(dt, timezone=tz)
else:
dt = pytz.utc.normalize(dt)
# making dt naive so we can pass it to Delorean
dt = dt.replace(tzinfo=None)
# if parse string has tzinfo we return a normalized UTC
# delorean object that represents the time.
do = Delorean(datetime=dt, timezone='UTC')
return do
| (datetime_str, timezone=None, dayfirst=True, yearfirst=True) | [
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21,612 | delorean.interface | range_daily |
This an alternative way to generating sets of Delorean objects with
DAILY stops
| def range_daily(start=None, stop=None, timezone='UTC', count=None):
"""
This an alternative way to generating sets of Delorean objects with
DAILY stops
"""
return stops(start=start, stop=stop, freq=DAILY, timezone=timezone, count=count)
| (start=None, stop=None, timezone='UTC', count=None) | [
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21,613 | delorean.interface | range_hourly |
This an alternative way to generating sets of Delorean objects with
HOURLY stops
| def range_hourly(start=None, stop=None, timezone='UTC', count=None):
"""
This an alternative way to generating sets of Delorean objects with
HOURLY stops
"""
return stops(start=start, stop=stop, freq=HOURLY, timezone=timezone, count=count)
| (start=None, stop=None, timezone='UTC', count=None) | [
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21,614 | delorean.interface | range_monthly |
This an alternative way to generating sets of Delorean objects with
MONTHLY stops
| def range_monthly(start=None, stop=None, timezone='UTC', count=None):
"""
This an alternative way to generating sets of Delorean objects with
MONTHLY stops
"""
return stops(start=start, stop=stop, freq=MONTHLY, timezone=timezone, count=count)
| (start=None, stop=None, timezone='UTC', count=None) | [
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21,615 | delorean.interface | range_yearly |
This an alternative way to generating sets of Delorean objects with
YEARLY stops
| def range_yearly(start=None, stop=None, timezone='UTC', count=None):
"""
This an alternative way to generating sets of Delorean objects with
YEARLY stops
"""
return stops(start=start, stop=stop, freq=YEARLY, timezone=timezone, count=count)
| (start=None, stop=None, timezone='UTC', count=None) | [
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21,616 | delorean.interface | stops |
This will create a list of delorean objects the apply to
setting possed in.
| def stops(freq, interval=1, count=None, wkst=None, bysetpos=None,
bymonth=None, bymonthday=None, byyearday=None, byeaster=None,
byweekno=None, byweekday=None, byhour=None, byminute=None,
bysecond=None, timezone='UTC', start=None, stop=None):
"""
This will create a list of delorean objects the apply to
setting possed in.
"""
# check to see if datetimees passed in are naive if so process them
# with given timezone.
if all([(start is None or is_datetime_naive(start)),
(stop is None or is_datetime_naive(stop))]):
pass
else:
raise DeloreanInvalidDatetime('Provide a naive datetime object')
# if no datetimes are passed in create a proper datetime object for
# start default because default in dateutil is datetime.now() :(
if start is None:
start = datetime_timezone(timezone)
for dt in rrule(freq, interval=interval, count=count, wkst=wkst, bysetpos=bysetpos,
bymonth=bymonth, bymonthday=bymonthday, byyearday=byyearday, byeaster=byeaster,
byweekno=byweekno, byweekday=byweekday, byhour=byhour, byminute=byminute,
bysecond=bysecond, until=stop, dtstart=start):
# make the delorean object
# yield it.
# doing this to make sure delorean receives a naive datetime.
dt = dt.replace(tzinfo=None)
d = Delorean(datetime=dt, timezone=timezone)
yield d
| (freq, interval=1, count=None, wkst=None, bysetpos=None, bymonth=None, bymonthday=None, byyearday=None, byeaster=None, byweekno=None, byweekday=None, byhour=None, byminute=None, bysecond=None, timezone='UTC', start=None, stop=None) | [
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21,617 | delorean.interface | utcnow |
Return a Delorean object for the current UTC date and time, setting the timezone to UTC.
| def utcnow():
"""
Return a Delorean object for the current UTC date and time, setting the timezone to UTC.
"""
return Delorean()
| () | [
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21,618 | python_usernames.validators | is_safe_username | null | def is_safe_username(
username: str, whitelist=None, blacklist=None, regex=username_regex, max_length=None
) -> bool:
# check for max length
if max_length and len(username) > max_length:
return False
# check against provided regex
if not re.match(regex, username):
return False
# ensure the word is not in the blacklist and is not a reserved word
if whitelist is None:
whitelist = []
if blacklist is None:
blacklist = []
default_words = get_reserved_words()
whitelist = set(
[each_whitelisted_name.lower() for each_whitelisted_name in whitelist]
)
blacklist = set(
[each_blacklisted_name.lower() for each_blacklisted_name in blacklist]
)
default_words = default_words - whitelist
default_words = default_words.union(blacklist)
return False if username.lower() in default_words else True
| (username: str, whitelist=None, blacklist=None, regex=re.compile('\n ^ # beginning of string\n (?!_$) # no only _\n (?![-.]) # no - or . at the beginning\n (?!.*[_.-]{2}) # no __ or _. or ._, re.VERBOSE), max_length=None) -> bool | [
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] |
21,621 | smartypants | _Attr |
class for instantiation of module attribute :attr:`Attr`.
| class _Attr(object):
"""
class for instantiation of module attribute :attr:`Attr`.
"""
q = 1 << 0
"""
flag for normal quotes (``"``) and (``'``) to curly ones.
.. seealso:: :func:`convert_quotes`
"""
b = 1 << 1
"""
flag for double quotes (````backticks''``) to curly ones.
.. seealso:: :func:`convert_backticks`
"""
B = 1 << 2 | b
"""
flag for double quotes (````backticks''``) and single quotes
(```single'``) to curly ones.
.. seealso:: :func:`convert_backticks` and :func:`convert_single_backticks`
"""
mask_b = b | B
d = 1 << 3
"""
flag for dashes (``--``) to em-dashes.
.. seealso:: :func:`convert_dashes`
"""
D = 1 << 4 | d
"""
flag for old-school typewriter dashes (``--``) to en-dashes and dashes
(``---``) to em-dashes.
.. seealso:: :func:`convert_dashes_oldschool`
"""
i = 1 << 5 | d
"""
flag for inverted old-school typewriter dashes (``--``) to em-dashes and
dashes (``---``) to en-dashes.
.. seealso:: :func:`convert_dashes_oldschool_inverted`
"""
mask_d = d | D | i
e = 1 << 6
"""
flag for dashes (``...``) to ellipses.
.. seealso:: :func:`convert_ellipses`
"""
w = 1 << 7
"""
flag for dashes (``"``) to ASCII double quotes (``"``).
This should be of no interest to most people, but of particular interest
to anyone who writes their posts using Dreamweaver, as Dreamweaver
inexplicably uses this entity to represent a literal double-quote
character. SmartyPants only educates normal quotes, not entities (because
ordinarily, entities are used for the explicit purpose of representing the
specific character they represent). The "w" option must be used in
conjunction with one (or both) of the other quote options ("q" or "b").
Thus, if you wish to apply all SmartyPants transformations (quotes, en-
and em-dashes, and ellipses) and also convert ``"`` entities into
regular quotes so SmartyPants can educate them.
"""
u = 0 << 9 | 1 << 8
"""
Output Unicode characters instead of numeric character references, for
example, from ``“`` to left double quotation mark (``“``) (U+201C).
.. seealso:: :func:`convert_entities`
"""
h = 1 << 9 | 0 << 8
"""
Output HTML named entities instead of numeric character references, for
example, from ``“`` to ``“``.
.. seealso:: :func:`convert_entities`
"""
s = 1 << 9 | 1 << 8
"""
Output ASCII equivalents instead of numeric character references, for
example, from ``—`` to ``--``.
.. seealso:: :func:`convert_entities`
"""
mask_o = u | h | s
set0 = 0
"suppress all transformations. (Do nothing.)"
set1 = q | b | d | e
"equivalent to :attr:`q` | :attr:`b` | :attr:`d` | :attr:`e`"
set2 = q | b | D | e
"""
equivalent to :attr:`q` | :attr:`b` | :attr:`D` | :attr:`e`
For old school en- and em- dash.
"""
set3 = q | b | i | e
"""
equivalent to :attr:`q` | :attr:`b` | :attr:`i` | :attr:`e`
For inverted old school en & em- dash."
"""
@property
def default(self):
"Default value of attributes, same value as :attr:`set1`"
global default_smartypants_attr
return default_smartypants_attr
@default.setter
def default(self, attr):
global default_smartypants_attr
default_smartypants_attr = attr
| () | [
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] |
21,622 | smartypants | _tags_to_skip_regex |
Convert a list of skipped tags into regular expression
The default *tags* are :attr:`tags_to_skip`.
>>> f = _tags_to_skip_regex
>>> print(f(['foo', 'bar']).pattern)
<(/)?(foo|bar)[^>]*>
| def _tags_to_skip_regex(tags=None):
"""
Convert a list of skipped tags into regular expression
The default *tags* are :attr:`tags_to_skip`.
>>> f = _tags_to_skip_regex
>>> print(f(['foo', 'bar']).pattern)
<(/)?(foo|bar)[^>]*>
"""
if tags is None:
tags = tags_to_skip
if isinstance(tags, (list, tuple)):
tags = '|'.join(tags)
return re.compile('<(/)?(%s)[^>]*>' % tags, re.I)
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21,623 | smartypants | _tokenize |
Reference to an array of the tokens comprising the input string. Each token
is either a tag (possibly with nested, tags contained therein, such as
``<a href="<MTFoo>">``, or a run of text between tags. Each element of the
array is a two-element array; the first is either 'tag' or 'text'; the
second is the actual value.
Based on the _tokenize() subroutine from `Brad Choate's MTRegex plugin`__.
__ http://www.bradchoate.com/past/mtregex.php
| def _tokenize(text):
"""
Reference to an array of the tokens comprising the input string. Each token
is either a tag (possibly with nested, tags contained therein, such as
``<a href="<MTFoo>">``, or a run of text between tags. Each element of the
array is a two-element array; the first is either 'tag' or 'text'; the
second is the actual value.
Based on the _tokenize() subroutine from `Brad Choate's MTRegex plugin`__.
__ http://www.bradchoate.com/past/mtregex.php
"""
tokens = []
tag_soup = re.compile(r'([^<]*)(<!--.*?--\s*>|<[^>]*>)', re.S)
token_match = tag_soup.match(text)
previous_end = 0
while token_match:
if token_match.group(1):
tokens.append(['text', token_match.group(1)])
# if -- in text part of comment, then it's not a comment, therefore it
# should be converted.
#
# In HTML4 [1]:
# [...] Authors should avoid putting two or more adjacent hyphens
# inside comments.
#
# In HTML5 [2]:
# [...] the comment may have text, with the additional restriction
# that the text must not [...], nor contain two consecutive U+002D
# HYPHEN-MINUS characters (--)
#
# [1]: http://www.w3.org/TR/REC-html40/intro/sgmltut.html#h-3.2.4
# [2]: http://www.w3.org/TR/html5/syntax.html#comments
tag = token_match.group(2)
type_ = 'tag'
if tag.startswith('<!--'):
# remove --[white space]> from the end of tag
if '--' in tag[4:].rstrip('>').rstrip().rstrip('-'):
type_ = 'text'
tokens.append([type_, tag])
previous_end = token_match.end()
token_match = tag_soup.match(text, token_match.end())
if previous_end < len(text):
tokens.append(['text', text[previous_end:]])
return tokens
| (text) | [
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21,624 | smartypants | convert_backticks |
Convert ````backticks''``-style double quotes in *text* into HTML curly
quote entities.
>>> print(convert_backticks("``Isn't this fun?''"))
“Isn't this fun?”
| def convert_backticks(text):
"""
Convert ````backticks''``-style double quotes in *text* into HTML curly
quote entities.
>>> print(convert_backticks("``Isn't this fun?''"))
“Isn't this fun?”
"""
text = re.sub('``', '“', text)
text = re.sub("''", '”', text)
return text
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] |
21,625 | smartypants | convert_dashes |
Convert ``--`` in *text* into em-dash HTML entities.
>>> quote = 'Nothing endures but change. -- Heraclitus'
>>> print(convert_dashes(quote))
Nothing endures but change. — Heraclitus
| def convert_dashes(text):
"""
Convert ``--`` in *text* into em-dash HTML entities.
>>> quote = 'Nothing endures but change. -- Heraclitus'
>>> print(convert_dashes(quote))
Nothing endures but change. — Heraclitus
"""
text = re.sub('--', '—', text)
return text
| (text) | [
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21,626 | smartypants | convert_dashes_oldschool |
Convert ``--`` and ``---`` in *text* into en-dash and em-dash HTML
entities, respectively.
>>> quote = 'Life itself is the proper binge. --- Julia Child (1912--2004)'
>>> print(convert_dashes_oldschool(quote))
Life itself is the proper binge. — Julia Child (1912–2004)
| def convert_dashes_oldschool(text):
"""
Convert ``--`` and ``---`` in *text* into en-dash and em-dash HTML
entities, respectively.
>>> quote = 'Life itself is the proper binge. --- Julia Child (1912--2004)'
>>> print(convert_dashes_oldschool(quote))
Life itself is the proper binge. — Julia Child (1912–2004)
"""
text = re.sub('---', '—', text) # em (yes, backwards)
text = re.sub('--', '–', text) # en (yes, backwards)
return text
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21,627 | smartypants | convert_dashes_oldschool_inverted |
Convert ``--`` and ``---`` in *text* into em-dash and en-dash HTML
entities, respectively.
Two reasons why:
* First, unlike the en- and em-dash syntax supported by
:func:`convert_dashes_oldschool`, it's compatible with existing entries
written before SmartyPants 1.1, back when ``--`` was only used for
em-dashes.
* Second, em-dashes are more common than en-dashes, and so it sort of
makes sense that the shortcut should be shorter to type. (Thanks to Aaron
Swartz for the idea.)
>>> quote = 'Dare to be naïve. -- Buckminster Fuller (1895---1983)'
>>> print(convert_dashes_oldschool_inverted(quote))
Dare to be naïve. — Buckminster Fuller (1895–1983)
| def convert_dashes_oldschool_inverted(text):
"""
Convert ``--`` and ``---`` in *text* into em-dash and en-dash HTML
entities, respectively.
Two reasons why:
* First, unlike the en- and em-dash syntax supported by
:func:`convert_dashes_oldschool`, it's compatible with existing entries
written before SmartyPants 1.1, back when ``--`` was only used for
em-dashes.
* Second, em-dashes are more common than en-dashes, and so it sort of
makes sense that the shortcut should be shorter to type. (Thanks to Aaron
Swartz for the idea.)
>>> quote = 'Dare to be naïve. -- Buckminster Fuller (1895---1983)'
>>> print(convert_dashes_oldschool_inverted(quote))
Dare to be naïve. — Buckminster Fuller (1895–1983)
"""
text = re.sub('---', '–', text) # em
text = re.sub('--', '—', text) # en
return text
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21,628 | smartypants | convert_ellipses |
Convert ``...`` in *text* into ellipsis HTML entities
>>> print(convert_ellipses('Huh...?'))
Huh…?
| def convert_ellipses(text):
"""
Convert ``...`` in *text* into ellipsis HTML entities
>>> print(convert_ellipses('Huh...?'))
Huh…?
"""
text = re.sub(r"""\.\.\.""", '…', text)
text = re.sub(r"""\. \. \.""", '…', text)
return text
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] |
21,629 | smartypants | convert_entities |
Convert numeric character references to, if *mode* is
- *0*: Unicode characters
- *1*: HTML named entities
- *2*: ASCII equivalents
>>> print(convert_entities('‘', 0))
‘
>>> print(convert_entities('‘SmartyPants’', 1))
‘SmartyPants’
>>> print(convert_entities('“Hello — world.”', 2))
"Hello -- world."
| def convert_entities(text, mode):
"""
Convert numeric character references to, if *mode* is
- *0*: Unicode characters
- *1*: HTML named entities
- *2*: ASCII equivalents
>>> print(convert_entities('‘', 0))
‘
>>> print(convert_entities('‘SmartyPants’', 1))
‘SmartyPants’
>>> print(convert_entities('“Hello — world.”', 2))
"Hello -- world."
"""
CTBL = {
'–': ('–', '–', '-'),
'—': ('—', '—', '--'),
'‘': ('‘', '‘', "'"),
'’': ('’', '’', "'"),
'“': ('“', '“', '"'),
'”': ('”', '”', '"'),
'…': ('…', '…', '...'),
}
for k, v in CTBL.items():
text = text.replace(k, v[mode])
return text
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21,630 | smartypants | convert_quotes |
Convert quotes in *text* into HTML curly quote entities.
>>> print(convert_quotes('"Isn\'t this fun?"'))
“Isn’t this fun?”
| def convert_quotes(text):
"""
Convert quotes in *text* into HTML curly quote entities.
>>> print(convert_quotes('"Isn\\'t this fun?"'))
“Isn’t this fun?”
"""
punct_class = r"""[!"#\$\%'()*+,-.\/:;<=>?\@\[\\\]\^_`{|}~]"""
# Special case if the very first character is a quote
# followed by punctuation at a non-word-break. Close the quotes by brute
# force:
text = re.sub(r"""^'(?=%s\\B)""" % (punct_class,), '’', text)
text = re.sub(r"""^"(?=%s\\B)""" % (punct_class,), '”', text)
# Special case for double sets of quotes, e.g.:
# <p>He said, "'Quoted' words in a larger quote."</p>
text = re.sub(r""""'(?=\w)""", '“‘', text)
text = re.sub(r"""'"(?=\w)""", '‘“', text)
# Special case for decade abbreviations (the '80s):
text = re.sub(r"""\b'(?=\d{2}s)""", '’', text)
close_class = r'[^\ \t\r\n\[\{\(\-]'
dec_dashes = '–|—'
# Get most opening single quotes:
opening_single_quotes_regex = re.compile(r"""
(
\s | # a whitespace char, or
| # a non-breaking space entity, or
-- | # dashes, or
&[mn]dash; | # named dash entities
%s | # or decimal entities
&\#x201[34]; # or hex
)
' # the quote
(?=\w) # followed by a word character
""" % (dec_dashes,), re.VERBOSE)
text = opening_single_quotes_regex.sub(r'\1‘', text)
closing_single_quotes_regex = re.compile(r"""
(%s)
'
(?!\s | s\b | \d)
""" % (close_class,), re.VERBOSE)
text = closing_single_quotes_regex.sub(r'\1’', text)
closing_single_quotes_regex = re.compile(r"""
(%s)
'
(\s | s\b)
""" % (close_class,), re.VERBOSE)
text = closing_single_quotes_regex.sub(r'\1’\2', text)
# Any remaining single quotes should be opening ones:
text = re.sub("'", '‘', text)
# Get most opening double quotes:
opening_double_quotes_regex = re.compile(r"""
(
\s | # a whitespace char, or
| # a non-breaking space entity, or
-- | # dashes, or
&[mn]dash; | # named dash entities
%s | # or decimal entities
&\#x201[34]; # or hex
)
" # the quote
(?=\w) # followed by a word character
""" % (dec_dashes,), re.VERBOSE)
text = opening_double_quotes_regex.sub(r'\1“', text)
# Double closing quotes:
closing_double_quotes_regex = re.compile(r"""
#(%s)? # character that indicates the quote should be closing
"
(?=\s)
""" % (close_class,), re.VERBOSE)
text = closing_double_quotes_regex.sub('”', text)
closing_double_quotes_regex = re.compile(r"""
(%s) # character that indicates the quote should be closing
"
""" % (close_class,), re.VERBOSE)
text = closing_double_quotes_regex.sub(r'\1”', text)
# Any remaining quotes should be opening ones.
text = re.sub('"', '“', text)
return text
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21,631 | smartypants | convert_single_backticks |
Convert ```backticks'``-style single quotes in *text* into HTML curly
quote entities.
>>> print(convert_single_backticks("`Isn't this fun?'"))
‘Isn’t this fun?’
| def convert_single_backticks(text):
"""
Convert ```backticks'``-style single quotes in *text* into HTML curly
quote entities.
>>> print(convert_single_backticks("`Isn't this fun?'"))
‘Isn’t this fun?’
"""
text = re.sub('`', '‘', text)
text = re.sub("'", '’', text)
return text
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21,632 | smartypants | process_escapes |
Processe the following backslash escape sequences in *text*. This is useful
if you want to force a "dumb" quote or other character to appear.
+--------+-----------+-----------+
| Escape | Value | Character |
+========+===========+===========+
| ``\\`` | ``\`` | ``\`` |
+--------+-----------+-----------+
| ``\"`` | ``"`` | ``"`` |
+--------+-----------+-----------+
| ``\'`` | ``'`` | ``'`` |
+--------+-----------+-----------+
| ``\.`` | ``.`` | ``.`` |
+--------+-----------+-----------+
| ``\-`` | ``-`` | ``-`` |
+--------+-----------+-----------+
| ``\``` | ````` | ``\``` |
+--------+-----------+-----------+
>>> print(process_escapes(r'\\'))
\
>>> print(smartypants(r'"smarty" \"pants\"'))
“smarty” "pants"
| def process_escapes(text):
r"""
Processe the following backslash escape sequences in *text*. This is useful
if you want to force a "dumb" quote or other character to appear.
+--------+-----------+-----------+
| Escape | Value | Character |
+========+===========+===========+
| ``\\`` | ``\`` | ``\`` |
+--------+-----------+-----------+
| ``\"`` | ``"`` | ``"`` |
+--------+-----------+-----------+
| ``\'`` | ``'`` | ``'`` |
+--------+-----------+-----------+
| ``\.`` | ``.`` | ``.`` |
+--------+-----------+-----------+
| ``\-`` | ``-`` | ``-`` |
+--------+-----------+-----------+
| ``\``` | ````` | ``\``` |
+--------+-----------+-----------+
>>> print(process_escapes(r'\\'))
\
>>> print(smartypants(r'"smarty" \"pants\"'))
“smarty” "pants"
"""
text = re.sub(r'\\\\', '\', text)
text = re.sub(r'\\"', '"', text)
text = re.sub(r"\\'", ''', text)
text = re.sub(r'\\\.', '.', text)
text = re.sub(r'\\-', '-', text)
text = re.sub(r'\\`', '`', text)
return text
| (text) | [
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] |
21,634 | smartypants | smartypants |
SmartyPants function
>>> print(smartypants('"foo" -- bar'))
“foo” — bar
>>> print(smartypants('"foo" -- bar', Attr.d))
"foo" — bar
| def smartypants(text, attr=None):
"""
SmartyPants function
>>> print(smartypants('"foo" -- bar'))
“foo” — bar
>>> print(smartypants('"foo" -- bar', Attr.d))
"foo" — bar
"""
skipped_tag_stack = []
if attr is None:
attr = Attr.default
do_quotes = attr & Attr.q
do_backticks = attr & Attr.mask_b
do_dashes = attr & Attr.mask_d
do_ellipses = attr & Attr.e
do_entities = attr & Attr.mask_o
convert_quot = attr & Attr.w
tokens = _tokenize(text)
result = []
in_pre = False
prev_token_last_char = ""
# This is a cheat, used to get some context
# for one-character tokens that consist of
# just a quote char. What we do is remember
# the last character of the previous text
# token, to use as context to curl single-
# character quote tokens correctly.
tags_to_skip_regex = _tags_to_skip_regex()
for cur_token in tokens:
if cur_token[0] == "tag":
# Don't mess with quotes inside some tags. This does not handle
# self <closing/> tags!
result.append(cur_token[1])
skip_match = tags_to_skip_regex.match(cur_token[1])
if skip_match:
if not skip_match.group(1):
skipped_tag_stack.append(skip_match.group(2).lower())
in_pre = True
else:
if len(skipped_tag_stack) > 0:
_tag = skipped_tag_stack[-1]
if skip_match.group(2).lower() == _tag:
skipped_tag_stack.pop()
else:
pass
# This close doesn't match the open. This isn't
# XHTML. We should barf here.
if len(skipped_tag_stack) == 0:
in_pre = False
else:
t = cur_token[1]
# Remember last char of this token before processing.
last_char = t[-1:]
if not in_pre:
t = process_escapes(t)
if convert_quot:
t = re.sub('"', '"', t)
if do_dashes:
if do_dashes == Attr.d:
t = convert_dashes(t)
if do_dashes == Attr.D:
t = convert_dashes_oldschool(t)
if do_dashes == Attr.i:
t = convert_dashes_oldschool_inverted(t)
if do_ellipses:
t = convert_ellipses(t)
# Note: backticks need to be processed before quotes.
if do_backticks == Attr.b:
t = convert_backticks(t)
if do_backticks == Attr.B:
t = convert_single_backticks(t)
if do_quotes:
if t == "'":
# Special case: single-character ' token
if re.match("\S", prev_token_last_char):
t = "’"
else:
t = "‘"
elif t == '"':
# Special case: single-character " token
if re.match("\S", prev_token_last_char):
t = "”"
else:
t = "“"
else:
# Normal case:
t = convert_quotes(t)
if do_entities:
mode = (0 if do_entities == Attr.u else
1 if do_entities == Attr.h else
2 if do_entities == Attr.s else
3) # would result in key error
t = convert_entities(t, mode)
prev_token_last_char = last_char
result.append(t)
return "".join(result)
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21,635 | auto_gptq.modeling.auto | AutoGPTQForCausalLM | null | class AutoGPTQForCausalLM:
def __init__(self):
raise EnvironmentError(
"AutoGPTQModelForCausalLM is designed to be instantiated\n"
"using `AutoGPTQModelForCausalLM.from_pretrained` if want to quantize a pretrained model.\n"
"using `AutoGPTQModelForCausalLM.from_quantized` if want to inference with quantized model."
)
@classmethod
def from_pretrained(
cls,
pretrained_model_name_or_path: str,
quantize_config: BaseQuantizeConfig,
max_memory: Optional[dict] = None,
trust_remote_code: bool = False,
**model_init_kwargs,
) -> BaseGPTQForCausalLM:
model_type = check_and_get_model_type(pretrained_model_name_or_path, trust_remote_code)
return GPTQ_CAUSAL_LM_MODEL_MAP[model_type].from_pretrained(
pretrained_model_name_or_path=pretrained_model_name_or_path,
quantize_config=quantize_config,
max_memory=max_memory,
trust_remote_code=trust_remote_code,
**model_init_kwargs,
)
@classmethod
def from_quantized(
cls,
model_name_or_path: Optional[str],
device_map: Optional[Union[str, Dict[str, Union[str, int]]]] = None,
max_memory: Optional[dict] = None,
device: Optional[Union[str, int]] = None,
low_cpu_mem_usage: bool = False,
use_triton: bool = False,
inject_fused_attention: bool = False,
inject_fused_mlp: bool = False,
use_cuda_fp16: bool = True,
quantize_config: Optional[BaseQuantizeConfig] = None,
model_basename: Optional[str] = None,
use_safetensors: bool = True,
trust_remote_code: bool = False,
warmup_triton: bool = False,
trainable: bool = False,
disable_exllama: Optional[bool] = None,
disable_exllamav2: bool = False,
use_marlin: bool = False,
**kwargs,
) -> BaseGPTQForCausalLM:
# If disable_exllamav2 is True, we want to fall back on the exllama kernel and not the cuda/cuda_old ones.
if disable_exllama is None:
if disable_exllamav2:
disable_exllama = False
else:
disable_exllama = True
model_type = check_and_get_model_type(model_name_or_path, trust_remote_code)
quant_func = GPTQ_CAUSAL_LM_MODEL_MAP[model_type].from_quantized
# A static list of kwargs needed for huggingface_hub
huggingface_kwargs = [
"cache_dir",
"force_download",
"proxies",
"resume_download",
"local_files_only",
"use_auth_token",
"revision",
"subfolder",
"_raise_exceptions_for_missing_entries",
"_commit_hash",
]
# TODO: do we need this filtering of kwargs? @PanQiWei is there a reason we can't just pass all kwargs?
keywords = {
key: kwargs[key]
for key in list(signature(quant_func).parameters.keys()) + huggingface_kwargs
if key in kwargs
}
return quant_func(
model_name_or_path=model_name_or_path,
device_map=device_map,
max_memory=max_memory,
device=device,
low_cpu_mem_usage=low_cpu_mem_usage,
use_triton=use_triton,
inject_fused_attention=inject_fused_attention,
inject_fused_mlp=inject_fused_mlp,
use_cuda_fp16=use_cuda_fp16,
quantize_config=quantize_config,
model_basename=model_basename,
use_safetensors=use_safetensors,
trust_remote_code=trust_remote_code,
warmup_triton=warmup_triton,
trainable=trainable,
disable_exllama=disable_exllama,
disable_exllamav2=disable_exllamav2,
use_marlin=use_marlin,
**keywords,
)
| () | [
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21,636 | auto_gptq.modeling.auto | __init__ | null | def __init__(self):
raise EnvironmentError(
"AutoGPTQModelForCausalLM is designed to be instantiated\n"
"using `AutoGPTQModelForCausalLM.from_pretrained` if want to quantize a pretrained model.\n"
"using `AutoGPTQModelForCausalLM.from_quantized` if want to inference with quantized model."
)
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21,637 | auto_gptq.modeling._base | BaseQuantizeConfig | BaseQuantizeConfig(bits: int = 4, group_size: int = -1, damp_percent: float = 0.01, desc_act: bool = True, static_groups: bool = False, sym: bool = True, true_sequential: bool = True, is_marlin_format: bool = False, model_name_or_path: Optional[str] = None, model_file_base_name: Optional[str] = None, awq_gemm_checkpoint: Optional[bool] = False) | class BaseQuantizeConfig(PushToHubMixin):
bits: int = field(default=4, metadata={"choices": [2, 3, 4, 8]})
group_size: int = field(default=-1)
damp_percent: float = field(default=0.01)
desc_act: bool = field(default=True)
static_groups: bool = field(default=False)
sym: bool = field(default=True)
true_sequential: bool = field(default=True)
is_marlin_format: bool = field(default=False)
model_name_or_path: Optional[str] = field(default=None)
model_file_base_name: Optional[str] = field(default=None)
awq_gemm_checkpoint: Optional[bool] = field(default=False)
def __post_init__(self):
fields_info = fields(self)
if self.bits not in fields_info[0].metadata["choices"]:
raise ValueError(f"only support quantize to {fields_info[0].metadata['choices']} bits.")
if self.group_size != -1 and self.group_size <= 0:
raise ValueError("unless equal to -1, group_size must greater then 0.")
if not (0 < self.damp_percent < 1):
raise ValueError("damp_percent must between 0 and 1.")
def save_pretrained(self, save_dir: str, **kwargs):
with open(join(save_dir, "quantize_config.json"), "w", encoding="utf-8") as f:
json.dump(self.to_dict(), f, indent=2)
@classmethod
def from_pretrained(cls, save_dir: str, **kwargs):
# Parameters related to loading from Hugging Face Hub
cache_dir = kwargs.pop("cache_dir", None)
force_download = kwargs.pop("force_download", False)
resume_download = kwargs.pop("resume_download", False)
proxies = kwargs.pop("proxies", None)
local_files_only = kwargs.pop("local_files_only", False)
use_auth_token = kwargs.pop("use_auth_token", None)
revision = kwargs.pop("revision", None)
subfolder = kwargs.pop("subfolder", None)
commit_hash = kwargs.pop("_commit_hash", None)
transformers_config = False
for quantize_config_filename in [
"quantize_config.json",
"quant_config.json",
"config.json",
]:
if os.path.isdir(save_dir): # Local
resolved_config_file = join(save_dir, quantize_config_filename)
else: # Remote
resolved_config_file = cached_file(
save_dir,
quantize_config_filename,
cache_dir=cache_dir,
force_download=force_download,
resume_download=resume_download,
proxies=proxies,
use_auth_token=use_auth_token,
revision=revision,
local_files_only=local_files_only,
subfolder=subfolder,
_raise_exceptions_for_missing_entries=False,
_raise_exceptions_for_connection_errors=False,
_commit_hash=commit_hash,
)
if resolved_config_file is not None:
if quantize_config_filename == "config.json":
transformers_config = True
break
if resolved_config_file is None:
raise ValueError(
"No quantize_config.json, quant_config.json or config.json file was found in the model repository."
)
field_names = [field.name for field in fields(cls)]
with open(resolved_config_file, "r", encoding="utf-8") as f:
args_from_json = json.load(f)
if transformers_config:
args_from_json = args_from_json["quantization_config"]
filtered_args = {"awq_gemm_checkpoint": False}
for key, val in args_from_json.items():
if key == "version" and val == "GEMM":
filtered_args["awq_gemm_checkpoint"] = True
elif key in field_names:
filtered_args[key] = val
elif key in SYNONYMS and SYNONYMS[key] in field_names:
filtered_args[SYNONYMS[key]] = val
else:
logger.warning(f"ignoring unknown parameter in {quantize_config_filename}: {key}.")
if filtered_args["awq_gemm_checkpoint"]:
# AWQ does not reorder the rows.
filtered_args["desc_act"] = False
if "sym" not in args_from_json:
logger.warning(
f"The quantization configuration {quantize_config_filename} does not contain an entry `sym` (symetric quantization). This may result in silent errors."
)
return cls(**filtered_args)
def to_dict(self):
return {
"bits": self.bits,
"group_size": self.group_size,
"damp_percent": self.damp_percent,
"desc_act": self.desc_act,
"static_groups": self.static_groups,
"sym": self.sym,
"true_sequential": self.true_sequential,
"model_name_or_path": self.model_name_or_path,
"model_file_base_name": self.model_file_base_name,
"is_marlin_format": self.is_marlin_format,
"quant_method": "gptq",
}
| (bits: int = 4, group_size: int = -1, damp_percent: float = 0.01, desc_act: bool = True, static_groups: bool = False, sym: bool = True, true_sequential: bool = True, is_marlin_format: bool = False, model_name_or_path: Optional[str] = None, model_file_base_name: Optional[str] = None, awq_gemm_checkpoint: Optional[bool] = False) -> None | [
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21,638 | auto_gptq.modeling._base | __eq__ | null | import copy
import json
import logging
import os
from dataclasses import dataclass, field, fields
from os.path import isdir, join
from typing import Dict, List, Optional, Union
import accelerate
import huggingface_hub
import torch
import torch.nn as nn
import transformers
from accelerate.hooks import remove_hook_from_module
from safetensors import safe_open
from safetensors.torch import load_file as safe_load
from safetensors.torch import save_file as safe_save
from tqdm import tqdm
from transformers import AutoConfig, AutoModelForCausalLM, PreTrainedModel
from transformers.modeling_utils import no_init_weights
from transformers.utils.generic import ContextManagers
from transformers.utils.hub import (
CommitOperationAdd,
PushToHubMixin,
cached_file,
create_commit,
create_repo,
)
from ..nn_modules._fused_base import FusedBaseAttentionModule, FusedBaseMLPModule
from ..nn_modules.qlinear import GeneralQuantLinear
from ..quantization import GPTQ
from ..utils.data_utils import collate_data
from ..utils.import_utils import (
AUTOGPTQ_CUDA_AVAILABLE,
EXLLAMA_KERNELS_AVAILABLE,
EXLLAMAV2_KERNELS_AVAILABLE,
MARLIN_AVAILABLE,
QIGEN_AVAILABLE,
TRITON_AVAILABLE,
dynamically_import_QuantLinear,
)
from ..utils.marlin_utils import (
_validate_marlin_compatibility,
_validate_marlin_device_support,
prepare_model_for_marlin_load,
)
from ._const import CPU, CUDA_0, SUPPORTED_MODELS
from ._utils import (
autogptq_post_init,
find_layers,
get_checkpoints,
get_device,
get_module_by_name_prefix,
get_module_by_name_suffix,
make_quant,
make_sure_no_tensor_in_meta_device,
move_to_device,
pack_from_tensors,
pack_model,
preprocess_checkpoint_qigen,
simple_dispatch_model,
unpack_awq,
)
logger = logging.getLogger(__name__)
handler = logging.StreamHandler()
formatter = logging.Formatter("%(levelname)s - %(message)s")
handler.setFormatter(formatter)
logger.addHandler(handler)
logger.setLevel(logging.INFO)
SYNONYMS = {
"w_bit": "bits",
"q_group_size": "group_size",
}
@dataclass
class BaseQuantizeConfig(PushToHubMixin):
bits: int = field(default=4, metadata={"choices": [2, 3, 4, 8]})
group_size: int = field(default=-1)
damp_percent: float = field(default=0.01)
desc_act: bool = field(default=True)
static_groups: bool = field(default=False)
sym: bool = field(default=True)
true_sequential: bool = field(default=True)
is_marlin_format: bool = field(default=False)
model_name_or_path: Optional[str] = field(default=None)
model_file_base_name: Optional[str] = field(default=None)
awq_gemm_checkpoint: Optional[bool] = field(default=False)
def __post_init__(self):
fields_info = fields(self)
if self.bits not in fields_info[0].metadata["choices"]:
raise ValueError(f"only support quantize to {fields_info[0].metadata['choices']} bits.")
if self.group_size != -1 and self.group_size <= 0:
raise ValueError("unless equal to -1, group_size must greater then 0.")
if not (0 < self.damp_percent < 1):
raise ValueError("damp_percent must between 0 and 1.")
def save_pretrained(self, save_dir: str, **kwargs):
with open(join(save_dir, "quantize_config.json"), "w", encoding="utf-8") as f:
json.dump(self.to_dict(), f, indent=2)
@classmethod
def from_pretrained(cls, save_dir: str, **kwargs):
# Parameters related to loading from Hugging Face Hub
cache_dir = kwargs.pop("cache_dir", None)
force_download = kwargs.pop("force_download", False)
resume_download = kwargs.pop("resume_download", False)
proxies = kwargs.pop("proxies", None)
local_files_only = kwargs.pop("local_files_only", False)
use_auth_token = kwargs.pop("use_auth_token", None)
revision = kwargs.pop("revision", None)
subfolder = kwargs.pop("subfolder", None)
commit_hash = kwargs.pop("_commit_hash", None)
transformers_config = False
for quantize_config_filename in [
"quantize_config.json",
"quant_config.json",
"config.json",
]:
if os.path.isdir(save_dir): # Local
resolved_config_file = join(save_dir, quantize_config_filename)
else: # Remote
resolved_config_file = cached_file(
save_dir,
quantize_config_filename,
cache_dir=cache_dir,
force_download=force_download,
resume_download=resume_download,
proxies=proxies,
use_auth_token=use_auth_token,
revision=revision,
local_files_only=local_files_only,
subfolder=subfolder,
_raise_exceptions_for_missing_entries=False,
_raise_exceptions_for_connection_errors=False,
_commit_hash=commit_hash,
)
if resolved_config_file is not None:
if quantize_config_filename == "config.json":
transformers_config = True
break
if resolved_config_file is None:
raise ValueError(
"No quantize_config.json, quant_config.json or config.json file was found in the model repository."
)
field_names = [field.name for field in fields(cls)]
with open(resolved_config_file, "r", encoding="utf-8") as f:
args_from_json = json.load(f)
if transformers_config:
args_from_json = args_from_json["quantization_config"]
filtered_args = {"awq_gemm_checkpoint": False}
for key, val in args_from_json.items():
if key == "version" and val == "GEMM":
filtered_args["awq_gemm_checkpoint"] = True
elif key in field_names:
filtered_args[key] = val
elif key in SYNONYMS and SYNONYMS[key] in field_names:
filtered_args[SYNONYMS[key]] = val
else:
logger.warning(f"ignoring unknown parameter in {quantize_config_filename}: {key}.")
if filtered_args["awq_gemm_checkpoint"]:
# AWQ does not reorder the rows.
filtered_args["desc_act"] = False
if "sym" not in args_from_json:
logger.warning(
f"The quantization configuration {quantize_config_filename} does not contain an entry `sym` (symetric quantization). This may result in silent errors."
)
return cls(**filtered_args)
def to_dict(self):
return {
"bits": self.bits,
"group_size": self.group_size,
"damp_percent": self.damp_percent,
"desc_act": self.desc_act,
"static_groups": self.static_groups,
"sym": self.sym,
"true_sequential": self.true_sequential,
"model_name_or_path": self.model_name_or_path,
"model_file_base_name": self.model_file_base_name,
"is_marlin_format": self.is_marlin_format,
"quant_method": "gptq",
}
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21,640 | auto_gptq.modeling._base | __post_init__ | null | def __post_init__(self):
fields_info = fields(self)
if self.bits not in fields_info[0].metadata["choices"]:
raise ValueError(f"only support quantize to {fields_info[0].metadata['choices']} bits.")
if self.group_size != -1 and self.group_size <= 0:
raise ValueError("unless equal to -1, group_size must greater then 0.")
if not (0 < self.damp_percent < 1):
raise ValueError("damp_percent must between 0 and 1.")
| (self) | [
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21,641 | auto_gptq.modeling._base | __repr__ | null | def __init__(
self,
model: PreTrainedModel,
quantized: bool,
quantize_config: BaseQuantizeConfig,
is_triton_backend: bool = False,
injected_fused_attention: bool = False,
injected_fused_mlp: bool = False,
trainable: bool = False,
):
super().__init__()
self.model = model
self.model_type = self.model.config.model_type
self._quantized = quantized
self.quantize_config = quantize_config
self.config = self.model.config
self.is_triton_backend = is_triton_backend
self.injected_fused_attention = injected_fused_attention
self.injected_fused_mlp = injected_fused_mlp
self.trainable = trainable
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21,645 | transformers.utils.hub | push_to_hub |
Upload the {object_files} to the 🤗 Model Hub.
Parameters:
repo_id (`str`):
The name of the repository you want to push your {object} to. It should contain your organization name
when pushing to a given organization.
use_temp_dir (`bool`, *optional*):
Whether or not to use a temporary directory to store the files saved before they are pushed to the Hub.
Will default to `True` if there is no directory named like `repo_id`, `False` otherwise.
commit_message (`str`, *optional*):
Message to commit while pushing. Will default to `"Upload {object}"`.
private (`bool`, *optional*):
Whether or not the repository created should be private.
token (`bool` or `str`, *optional*):
The token to use as HTTP bearer authorization for remote files. If `True`, will use the token generated
when running `huggingface-cli login` (stored in `~/.huggingface`). Will default to `True` if `repo_url`
is not specified.
max_shard_size (`int` or `str`, *optional*, defaults to `"5GB"`):
Only applicable for models. The maximum size for a checkpoint before being sharded. Checkpoints shard
will then be each of size lower than this size. If expressed as a string, needs to be digits followed
by a unit (like `"5MB"`). We default it to `"5GB"` so that users can easily load models on free-tier
Google Colab instances without any CPU OOM issues.
create_pr (`bool`, *optional*, defaults to `False`):
Whether or not to create a PR with the uploaded files or directly commit.
safe_serialization (`bool`, *optional*, defaults to `True`):
Whether or not to convert the model weights in safetensors format for safer serialization.
revision (`str`, *optional*):
Branch to push the uploaded files to.
commit_description (`str`, *optional*):
The description of the commit that will be created
tags (`List[str]`, *optional*):
List of tags to push on the Hub.
Examples:
```python
from transformers import {object_class}
{object} = {object_class}.from_pretrained("google-bert/bert-base-cased")
# Push the {object} to your namespace with the name "my-finetuned-bert".
{object}.push_to_hub("my-finetuned-bert")
# Push the {object} to an organization with the name "my-finetuned-bert".
{object}.push_to_hub("huggingface/my-finetuned-bert")
```
| def push_to_hub(
self,
repo_id: str,
use_temp_dir: Optional[bool] = None,
commit_message: Optional[str] = None,
private: Optional[bool] = None,
token: Optional[Union[bool, str]] = None,
max_shard_size: Optional[Union[int, str]] = "5GB",
create_pr: bool = False,
safe_serialization: bool = True,
revision: str = None,
commit_description: str = None,
tags: Optional[List[str]] = None,
**deprecated_kwargs,
) -> str:
"""
Upload the {object_files} to the 🤗 Model Hub.
Parameters:
repo_id (`str`):
The name of the repository you want to push your {object} to. It should contain your organization name
when pushing to a given organization.
use_temp_dir (`bool`, *optional*):
Whether or not to use a temporary directory to store the files saved before they are pushed to the Hub.
Will default to `True` if there is no directory named like `repo_id`, `False` otherwise.
commit_message (`str`, *optional*):
Message to commit while pushing. Will default to `"Upload {object}"`.
private (`bool`, *optional*):
Whether or not the repository created should be private.
token (`bool` or `str`, *optional*):
The token to use as HTTP bearer authorization for remote files. If `True`, will use the token generated
when running `huggingface-cli login` (stored in `~/.huggingface`). Will default to `True` if `repo_url`
is not specified.
max_shard_size (`int` or `str`, *optional*, defaults to `"5GB"`):
Only applicable for models. The maximum size for a checkpoint before being sharded. Checkpoints shard
will then be each of size lower than this size. If expressed as a string, needs to be digits followed
by a unit (like `"5MB"`). We default it to `"5GB"` so that users can easily load models on free-tier
Google Colab instances without any CPU OOM issues.
create_pr (`bool`, *optional*, defaults to `False`):
Whether or not to create a PR with the uploaded files or directly commit.
safe_serialization (`bool`, *optional*, defaults to `True`):
Whether or not to convert the model weights in safetensors format for safer serialization.
revision (`str`, *optional*):
Branch to push the uploaded files to.
commit_description (`str`, *optional*):
The description of the commit that will be created
tags (`List[str]`, *optional*):
List of tags to push on the Hub.
Examples:
```python
from transformers import {object_class}
{object} = {object_class}.from_pretrained("google-bert/bert-base-cased")
# Push the {object} to your namespace with the name "my-finetuned-bert".
{object}.push_to_hub("my-finetuned-bert")
# Push the {object} to an organization with the name "my-finetuned-bert".
{object}.push_to_hub("huggingface/my-finetuned-bert")
```
"""
use_auth_token = deprecated_kwargs.pop("use_auth_token", None)
ignore_metadata_errors = deprecated_kwargs.pop("ignore_metadata_errors", False)
if use_auth_token is not None:
warnings.warn(
"The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.",
FutureWarning,
)
if token is not None:
raise ValueError(
"`token` and `use_auth_token` are both specified. Please set only the argument `token`."
)
token = use_auth_token
repo_path_or_name = deprecated_kwargs.pop("repo_path_or_name", None)
if repo_path_or_name is not None:
# Should use `repo_id` instead of `repo_path_or_name`. When using `repo_path_or_name`, we try to infer
# repo_id from the folder path, if it exists.
warnings.warn(
"The `repo_path_or_name` argument is deprecated and will be removed in v5 of Transformers. Use "
"`repo_id` instead.",
FutureWarning,
)
if repo_id is not None:
raise ValueError(
"`repo_id` and `repo_path_or_name` are both specified. Please set only the argument `repo_id`."
)
if os.path.isdir(repo_path_or_name):
# repo_path: infer repo_id from the path
repo_id = repo_id.split(os.path.sep)[-1]
working_dir = repo_id
else:
# repo_name: use it as repo_id
repo_id = repo_path_or_name
working_dir = repo_id.split("/")[-1]
else:
# Repo_id is passed correctly: infer working_dir from it
working_dir = repo_id.split("/")[-1]
# Deprecation warning will be sent after for repo_url and organization
repo_url = deprecated_kwargs.pop("repo_url", None)
organization = deprecated_kwargs.pop("organization", None)
repo_id = self._create_repo(
repo_id, private=private, token=token, repo_url=repo_url, organization=organization
)
# Create a new empty model card and eventually tag it
model_card = create_and_tag_model_card(
repo_id, tags, token=token, ignore_metadata_errors=ignore_metadata_errors
)
if use_temp_dir is None:
use_temp_dir = not os.path.isdir(working_dir)
with working_or_temp_dir(working_dir=working_dir, use_temp_dir=use_temp_dir) as work_dir:
files_timestamps = self._get_files_timestamps(work_dir)
# Save all files.
self.save_pretrained(work_dir, max_shard_size=max_shard_size, safe_serialization=safe_serialization)
# Update model card if needed:
model_card.save(os.path.join(work_dir, "README.md"))
return self._upload_modified_files(
work_dir,
repo_id,
files_timestamps,
commit_message=commit_message,
token=token,
create_pr=create_pr,
revision=revision,
commit_description=commit_description,
)
| (self, repo_id: str, use_temp_dir: Optional[bool] = None, commit_message: Optional[str] = None, private: Optional[bool] = None, token: Union[bool, str, NoneType] = None, max_shard_size: Union[int, str, NoneType] = '5GB', create_pr: bool = False, safe_serialization: bool = True, revision: Optional[str] = None, commit_description: Optional[str] = None, tags: Optional[List[str]] = None, **deprecated_kwargs) -> str | [
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21,646 | auto_gptq.modeling._base | save_pretrained | null | def save_pretrained(self, save_dir: str, **kwargs):
with open(join(save_dir, "quantize_config.json"), "w", encoding="utf-8") as f:
json.dump(self.to_dict(), f, indent=2)
| (self, save_dir: str, **kwargs) | [
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21,647 | auto_gptq.modeling._base | to_dict | null | def to_dict(self):
return {
"bits": self.bits,
"group_size": self.group_size,
"damp_percent": self.damp_percent,
"desc_act": self.desc_act,
"static_groups": self.static_groups,
"sym": self.sym,
"true_sequential": self.true_sequential,
"model_name_or_path": self.model_name_or_path,
"model_file_base_name": self.model_file_base_name,
"is_marlin_format": self.is_marlin_format,
"quant_method": "gptq",
}
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] |
21,648 | auto_gptq.utils.exllama_utils | exllama_set_max_input_length |
This method does not necessarily require `model` to inherit from BaseGPTQForCausalLM.
When using the exllama backend with act-order, it is necessary to initialize a buffer that depends on the maximum expected input length. In case the
default used (EXLLAMA_DEFAULT_MAX_INPUT_LENGTH) is too short, this method can be called to extend the buffer size without reloading the whole model.
| def exllama_set_max_input_length(model, max_input_length: int):
"""
This method does not necessarily require `model` to inherit from BaseGPTQForCausalLM.
When using the exllama backend with act-order, it is necessary to initialize a buffer that depends on the maximum expected input length. In case the
default used (EXLLAMA_DEFAULT_MAX_INPUT_LENGTH) is too short, this method can be called to extend the buffer size without reloading the whole model.
"""
# The import is set here to avoid a global import. Arguably this is quite ugly, it would be better to have lazy loading.
from exllama_kernels import cleanup_buffers_cuda, prepare_buffers
if not model.quantize_config.desc_act:
raise ValueError(
"The method exllama_set_max_input_length should be called only when using the exllama backend **with act-order**."
)
uses_exllama = False
for name, submodule in model.named_modules():
if isinstance(submodule, ExllamaQuantLinear):
uses_exllama = True
if not uses_exllama:
raise ValueError(
f"The function exllama_set_max_input_length was called, but the model (instance of {model.__class__.__name__}) does not use the exllama backend for GPTQ. An other implementation is used (exllamav2, cuda, cuda-old, triton) and that the call to exllama_set_max_input_length is unnecessary. Please remove the call to exllama_set_max_input_length or use the exllama v1 backend."
)
device_to_buffers_size = {}
for device, buffers in model.device_to_buffers.items():
device_to_buffers_size[device] = {
"max_dq_buffer_size": buffers["max_dq_buffer_size"],
"max_inner_outer_dim": buffers["max_inner_outer_dim"],
}
# For an unknown reason calling just `del model.device_to_buffers` raises an AttributeError.
for key in list(model.device_to_buffers.keys()):
del model.device_to_buffers[key]
model.device_to_buffers = None
del model.device_to_buffers
gc.collect()
torch.cuda.empty_cache()
cleanup_buffers_cuda()
device_to_buffers = {}
for device, buffers_size in device_to_buffers_size.items():
# The temp_state buffer is required to reorder X in the act-order case.
# The temp_dq buffer is required to dequantize weights when using cuBLAS, typically for the prefill.
device_to_buffers[device] = {
"temp_state": torch.zeros(
(max_input_length, buffers_size["max_inner_outer_dim"]),
dtype=torch.float16,
device=device,
),
"temp_dq": torch.zeros(
(1, buffers_size["max_dq_buffer_size"]),
dtype=torch.float16,
device=device,
),
"max_dq_buffer_size": buffers_size["max_dq_buffer_size"],
"max_inner_outer_dim": buffers_size["max_inner_outer_dim"],
}
prepare_buffers(
device,
device_to_buffers[device]["temp_state"],
device_to_buffers[device]["temp_dq"],
)
# Buffers need to be persistent to avoid any bug.
model.device_to_buffers = device_to_buffers
return model
| (model, max_input_length: int) | [
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21,649 | auto_gptq.utils.peft_utils | get_gptq_peft_model | null | def get_gptq_peft_model(
model: BaseGPTQForCausalLM,
peft_config: PeftConfig = None,
model_id: str = None,
adapter_name: str = "default",
auto_find_all_linears: bool = True,
train_mode: bool = False,
):
if train_mode and not model.trainable:
model.enable_trainable_mode()
if train_mode and not peft_config:
raise ValueError("peft_config not specified when in train mode.")
if not train_mode and not model_id:
raise ValueError("model_id(where to load adapters) not specified when in inference mode.")
if model.fused_attn_module_type is not None and not model.injected_fused_attention:
peft_types = [PeftType.LORA.value, PeftType.ADALORA.value]
warnings.warn(
f"You can just ignore this warning if the peft type you use isn't in {peft_types}.\n"
f"{model.__class__.__name__} supports injecting fused attention but not enables this time. "
"If you are training adapters, you must also disable fused attention injection when loading quantized "
"base model at inference time, otherwise adapters may not be added to base model properly. "
"If you are loading adapters to do inference, you can reference to adapter's config file to check "
"whether the adapters are trained using base model that not enable fused attention injection."
)
if model.injected_fused_mlp:
raise NotImplementedError(
"GPTQ model that enables fused mlp injection is not supported to integrate with peft."
)
if train_mode:
peft_type = peft_config.peft_type
if not isinstance(peft_type, str):
peft_type = peft_type.value
if peft_type in [PeftType.LORA.value, PeftType.ADALORA.value]:
if auto_find_all_linears:
peft_config.target_modules = find_all_linear_names(model, ignore_lm_head=True)
if peft_type == PeftType.LORA.value and not isinstance(peft_config, GPTQLoraConfig):
peft_config = GPTQLoraConfig(**peft_config.to_dict())
if peft_type == PeftType.ADALORA.value and not isinstance(peft_config, GPTQAdaLoraConfig):
peft_config = GPTQAdaLoraConfig(**peft_config.to_dict())
peft_config.injected_fused_attention = model.injected_fused_attention
peft_config.injected_fused_mlp = model.injected_fused_mlp
if peft_type == PeftType.ADAPTION_PROMPT.value:
if peft_config.adapter_layers > model.config.num_hidden_layers:
warnings.warn(
f"model has only {model.config.num_hidden_layers} layers "
f"but adapter_layers is set to {peft_config.adapter_layers}, "
f"will reset value to {model.config.num_hidden_layers}."
)
peft_config.adapter_layers = model.config.num_hidden_layers
if model.injected_fused_attention:
raise NotImplementedError(
"model with fused attention injected isn't supported to use ADAPTION_PROMPT peft type yet."
)
with hijack_peft_mappings():
try:
if train_mode:
peft_model = get_peft_model(model.model, peft_config, adapter_name=adapter_name)
else:
peft_model = PeftModel.from_pretrained(model.model, model_id, adapter_name)
except:
raise
raise NotImplementedError(
f"{model.__class__.__name__} not support {peft_config.peft_type.value} peft type yet."
)
return peft_model
| (model: auto_gptq.modeling._base.BaseGPTQForCausalLM, peft_config: Optional[peft.config.PeftConfig] = None, model_id: Optional[str] = None, adapter_name: str = 'default', auto_find_all_linears: bool = True, train_mode: bool = False) | [
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21,654 | magic_filter.attrdict | AttrDict |
A wrapper over dict which where element can be accessed as regular attributes
| class AttrDict(Dict[KT, VT]):
"""
A wrapper over dict which where element can be accessed as regular attributes
"""
def __init__(self, *args: Any, **kwargs: Any) -> None:
super(AttrDict, self).__init__(*args, **kwargs)
self.__dict__ = self # type: ignore
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21,655 | magic_filter.attrdict | __init__ | null | def __init__(self, *args: Any, **kwargs: Any) -> None:
super(AttrDict, self).__init__(*args, **kwargs)
self.__dict__ = self # type: ignore
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21,656 | magic_filter.magic | MagicFilter | null | class MagicFilter:
__slots__ = ("_operations",)
def __init__(self, operations: Tuple[BaseOperation, ...] = ()) -> None:
self._operations = operations
# An instance of MagicFilter cannot be used as an iterable object because objects
# with a __getitem__ method can be endlessly iterated, which is not the desired behavior.
__iter__ = None
@classmethod
def ilter(cls, magic: "MagicFilter") -> Callable[[Any], Any]:
@wraps(magic.resolve)
def wrapper(value: Any) -> Any:
return magic.resolve(value)
return wrapper
@classmethod
def _new(cls: Type[MagicT], operations: Tuple[BaseOperation, ...]) -> MagicT:
return cls(operations=operations)
def _extend(self: MagicT, operation: BaseOperation) -> MagicT:
return self._new(self._operations + (operation,))
def _replace_last(self: MagicT, operation: BaseOperation) -> MagicT:
return self._new(self._operations[:-1] + (operation,))
def _exclude_last(self: MagicT) -> MagicT:
return self._new(self._operations[:-1])
def _resolve(self, value: Any, operations: Optional[Tuple[BaseOperation, ...]] = None) -> Any:
initial_value = value
if operations is None:
operations = self._operations
rejected = False
for index, operation in enumerate(operations):
if rejected and not operation.important:
continue
try:
value = operation.resolve(value=value, initial_value=initial_value)
except SwitchModeToAll:
return all(self._resolve(value=item, operations=operations[index + 1 :]) for item in value)
except SwitchModeToAny:
return any(self._resolve(value=item, operations=operations[index + 1 :]) for item in value)
except RejectOperations:
rejected = True
value = None
continue
rejected = False
return value
def __bool__(self) -> bool:
return True
def resolve(self: MagicT, value: Any) -> Any:
return self._resolve(value=value)
def __getattr__(self: MagicT, item: Any) -> MagicT:
if item.startswith("_"):
raise AttributeError(f"{type(self).__name__!r} object has no attribute {item!r}")
return self._extend(GetAttributeOperation(name=item))
attr_ = __getattr__
def __getitem__(self: MagicT, item: Any) -> MagicT:
if isinstance(item, MagicFilter):
return self._extend(SelectorOperation(inner=item))
return self._extend(GetItemOperation(key=item))
def __len__(self) -> int:
raise TypeError(f"Length can't be taken using len() function. Use {type(self).__name__}.len() instead.")
def __eq__(self: MagicT, other: Any) -> MagicT: # type: ignore
return self._extend(ComparatorOperation(right=other, comparator=operator.eq))
def __ne__(self: MagicT, other: Any) -> MagicT: # type: ignore
return self._extend(ComparatorOperation(right=other, comparator=operator.ne))
def __lt__(self: MagicT, other: Any) -> MagicT:
return self._extend(ComparatorOperation(right=other, comparator=operator.lt))
def __gt__(self: MagicT, other: Any) -> MagicT:
return self._extend(ComparatorOperation(right=other, comparator=operator.gt))
def __le__(self: MagicT, other: Any) -> MagicT:
return self._extend(ComparatorOperation(right=other, comparator=operator.le))
def __ge__(self: MagicT, other: Any) -> MagicT:
return self._extend(ComparatorOperation(right=other, comparator=operator.ge))
def __invert__(self: MagicT) -> MagicT:
if (
self._operations
and isinstance(self._operations[-1], ImportantFunctionOperation)
and self._operations[-1].function == operator.not_
):
return self._exclude_last()
return self._extend(ImportantFunctionOperation(function=operator.not_))
def __call__(self: MagicT, *args: Any, **kwargs: Any) -> MagicT:
return self._extend(CallOperation(args=args, kwargs=kwargs))
def __and__(self: MagicT, other: Any) -> MagicT:
if isinstance(other, MagicFilter):
return self._extend(CombinationOperation(right=other, combinator=and_op))
return self._extend(CombinationOperation(right=other, combinator=operator.and_))
def __rand__(self: MagicT, other: Any) -> MagicT:
return self._extend(RCombinationOperation(left=other, combinator=operator.and_))
def __or__(self: MagicT, other: Any) -> MagicT:
if isinstance(other, MagicFilter):
return self._extend(ImportantCombinationOperation(right=other, combinator=or_op))
return self._extend(ImportantCombinationOperation(right=other, combinator=operator.or_))
def __ror__(self: MagicT, other: Any) -> MagicT:
return self._extend(RCombinationOperation(left=other, combinator=operator.or_))
def __xor__(self: MagicT, other: Any) -> MagicT:
return self._extend(CombinationOperation(right=other, combinator=operator.xor))
def __rxor__(self: MagicT, other: Any) -> MagicT:
return self._extend(RCombinationOperation(left=other, combinator=operator.xor))
def __rshift__(self: MagicT, other: Any) -> MagicT:
return self._extend(CombinationOperation(right=other, combinator=operator.rshift))
def __rrshift__(self: MagicT, other: Any) -> MagicT:
return self._extend(RCombinationOperation(left=other, combinator=operator.rshift))
def __lshift__(self: MagicT, other: Any) -> MagicT:
return self._extend(CombinationOperation(right=other, combinator=operator.lshift))
def __rlshift__(self: MagicT, other: Any) -> MagicT:
return self._extend(RCombinationOperation(left=other, combinator=operator.lshift))
def __add__(self: MagicT, other: Any) -> MagicT:
return self._extend(CombinationOperation(right=other, combinator=operator.add))
def __radd__(self: MagicT, other: Any) -> MagicT:
return self._extend(RCombinationOperation(left=other, combinator=operator.add))
def __sub__(self: MagicT, other: Any) -> MagicT:
return self._extend(CombinationOperation(right=other, combinator=operator.sub))
def __rsub__(self: MagicT, other: Any) -> MagicT:
return self._extend(RCombinationOperation(left=other, combinator=operator.sub))
def __mul__(self: MagicT, other: Any) -> MagicT:
return self._extend(CombinationOperation(right=other, combinator=operator.mul))
def __rmul__(self: MagicT, other: Any) -> MagicT:
return self._extend(RCombinationOperation(left=other, combinator=operator.mul))
def __truediv__(self: MagicT, other: Any) -> MagicT:
return self._extend(CombinationOperation(right=other, combinator=operator.truediv))
def __rtruediv__(self: MagicT, other: Any) -> MagicT:
return self._extend(RCombinationOperation(left=other, combinator=operator.truediv))
def __floordiv__(self: MagicT, other: Any) -> MagicT:
return self._extend(CombinationOperation(right=other, combinator=operator.floordiv))
def __rfloordiv__(self: MagicT, other: Any) -> MagicT:
return self._extend(RCombinationOperation(left=other, combinator=operator.floordiv))
def __mod__(self: MagicT, other: Any) -> MagicT:
return self._extend(CombinationOperation(right=other, combinator=operator.mod))
def __rmod__(self: MagicT, other: Any) -> MagicT:
return self._extend(RCombinationOperation(left=other, combinator=operator.mod))
def __matmul__(self: MagicT, other: Any) -> MagicT:
return self._extend(CombinationOperation(right=other, combinator=operator.matmul))
def __rmatmul__(self: MagicT, other: Any) -> MagicT:
return self._extend(RCombinationOperation(left=other, combinator=operator.matmul))
def __pow__(self: MagicT, other: Any) -> MagicT:
return self._extend(CombinationOperation(right=other, combinator=operator.pow))
def __rpow__(self: MagicT, other: Any) -> MagicT:
return self._extend(RCombinationOperation(left=other, combinator=ope | (operations: Tuple[magic_filter.operations.base.BaseOperation, ...] = ()) -> None | [
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21,657 | magic_filter.magic | __add__ | null | def __add__(self: MagicT, other: Any) -> MagicT:
return self._extend(CombinationOperation(right=other, combinator=operator.add))
| (self: ~MagicT, other: Any) -> ~MagicT | [
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21,658 | magic_filter.magic | __and__ | null | def __and__(self: MagicT, other: Any) -> MagicT:
if isinstance(other, MagicFilter):
return self._extend(CombinationOperation(right=other, combinator=and_op))
return self._extend(CombinationOperation(right=other, combinator=operator.and_))
| (self: ~MagicT, other: Any) -> ~MagicT | [
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21,659 | magic_filter.magic | __bool__ | null | def __bool__(self) -> bool:
return True
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21,660 | magic_filter.magic | __call__ | null | def __call__(self: MagicT, *args: Any, **kwargs: Any) -> MagicT:
return self._extend(CallOperation(args=args, kwargs=kwargs))
| (self: ~MagicT, *args: Any, **kwargs: Any) -> ~MagicT | [
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21,661 | magic_filter.magic | __eq__ | null | def __eq__(self: MagicT, other: Any) -> MagicT: # type: ignore
return self._extend(ComparatorOperation(right=other, comparator=operator.eq))
| (self: ~MagicT, other: Any) -> ~MagicT | [
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21,662 | magic_filter.magic | __floordiv__ | null | def __floordiv__(self: MagicT, other: Any) -> MagicT:
return self._extend(CombinationOperation(right=other, combinator=operator.floordiv))
| (self: ~MagicT, other: Any) -> ~MagicT | [
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21,663 | magic_filter.magic | __ge__ | null | def __ge__(self: MagicT, other: Any) -> MagicT:
return self._extend(ComparatorOperation(right=other, comparator=operator.ge))
| (self: ~MagicT, other: Any) -> ~MagicT | [
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21,664 | magic_filter.magic | __getattr__ | null | def __getattr__(self: MagicT, item: Any) -> MagicT:
if item.startswith("_"):
raise AttributeError(f"{type(self).__name__!r} object has no attribute {item!r}")
return self._extend(GetAttributeOperation(name=item))
| (self: ~MagicT, item: Any) -> ~MagicT | [
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21,665 | magic_filter.magic | __getitem__ | null | def __getitem__(self: MagicT, item: Any) -> MagicT:
if isinstance(item, MagicFilter):
return self._extend(SelectorOperation(inner=item))
return self._extend(GetItemOperation(key=item))
| (self: ~MagicT, item: Any) -> ~MagicT | [
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21,666 | magic_filter.magic | __gt__ | null | def __gt__(self: MagicT, other: Any) -> MagicT:
return self._extend(ComparatorOperation(right=other, comparator=operator.gt))
| (self: ~MagicT, other: Any) -> ~MagicT | [
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21,667 | magic_filter.magic | __init__ | null | def __init__(self, operations: Tuple[BaseOperation, ...] = ()) -> None:
self._operations = operations
| (self, operations: Tuple[magic_filter.operations.base.BaseOperation, ...] = ()) -> NoneType | [
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] |
21,668 | magic_filter.magic | __invert__ | null | def __invert__(self: MagicT) -> MagicT:
if (
self._operations
and isinstance(self._operations[-1], ImportantFunctionOperation)
and self._operations[-1].function == operator.not_
):
return self._exclude_last()
return self._extend(ImportantFunctionOperation(function=operator.not_))
| (self: ~MagicT) -> ~MagicT | [
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21,669 | magic_filter.magic | __le__ | null | def __le__(self: MagicT, other: Any) -> MagicT:
return self._extend(ComparatorOperation(right=other, comparator=operator.le))
| (self: ~MagicT, other: Any) -> ~MagicT | [
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0.024515952914953232,
0.026064328849315643,
0.11616260558366776
] |
21,670 | magic_filter.magic | __len__ | null | def __len__(self) -> int:
raise TypeError(f"Length can't be taken using len() function. Use {type(self).__name__}.len() instead.")
| (self) -> int | [
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