File: //proc/1233/cwd/home/arjun/projects/env/lib/python3.10/site-packages/faker/providers/__init__.py
import re
import string
from collections import OrderedDict
from typing import Any, Collection, List, Optional, Sequence, TypeVar, Union
from ..generator import Generator
from ..typing import OrderedDictType
from ..utils.distribution import choices_distribution, choices_distribution_unique
_re_hash = re.compile(r"#")
_re_perc = re.compile(r"%")
_re_dol = re.compile(r"\$")
_re_excl = re.compile(r"!")
_re_at = re.compile(r"@")
_re_qm = re.compile(r"\?")
_re_cir = re.compile(r"\^")
T = TypeVar("T")
ElementsType = Union[Collection[str], Collection[T], OrderedDictType[T, float]]
class BaseProvider:
__provider__ = "base"
__lang__: Optional[str] = None
__use_weighting__ = False
# Locales supported by Linux Mint from `/usr/share/i18n/SUPPORTED`
language_locale_codes = {
"aa": ("DJ", "ER", "ET"),
"af": ("ZA",),
"ak": ("GH",),
"am": ("ET",),
"an": ("ES",),
"apn": ("IN",),
"ar": (
"AE",
"BH",
"DJ",
"DZ",
"EG",
"EH",
"ER",
"IL",
"IN",
"IQ",
"JO",
"KM",
"KW",
"LB",
"LY",
"MA",
"MR",
"OM",
"PS",
"QA",
"SA",
"SD",
"SO",
"SS",
"SY",
"TD",
"TN",
"YE",
),
"as": ("IN",),
"ast": ("ES",),
"ayc": ("PE",),
"az": ("AZ", "IN"),
"be": ("BY",),
"bem": ("ZM",),
"ber": ("DZ", "MA"),
"bg": ("BG",),
"bhb": ("IN",),
"bho": ("IN",),
"bn": ("BD", "IN"),
"bo": ("CN", "IN"),
"br": ("FR",),
"brx": ("IN",),
"bs": ("BA",),
"byn": ("ER",),
"ca": ("AD", "ES", "FR", "IT"),
"ce": ("RU",),
"ckb": ("IQ",),
"cmn": ("TW",),
"crh": ("UA",),
"cs": ("CZ",),
"csb": ("PL",),
"cv": ("RU",),
"cy": ("GB",),
"da": ("DK",),
"de": ("AT", "BE", "CH", "DE", "LI", "LU"),
"doi": ("IN",),
"dv": ("MV",),
"dz": ("BT",),
"el": ("GR", "CY"),
"en": (
"AG",
"AU",
"BD",
"BW",
"CA",
"DK",
"GB",
"HK",
"IE",
"IN",
"NG",
"NZ",
"PH",
"SG",
"US",
"ZA",
"ZM",
"ZW",
),
"eo": ("US",),
"es": (
"AR",
"BO",
"CL",
"CO",
"CR",
"CU",
"DO",
"EC",
"ES",
"GT",
"HN",
"MX",
"NI",
"PA",
"PE",
"PR",
"PY",
"SV",
"US",
"UY",
"VE",
),
"et": ("EE",),
"eu": ("ES", "FR"),
"fa": ("IR",),
"ff": ("SN",),
"fi": ("FI",),
"fil": ("PH",),
"fo": ("FO",),
"fr": ("CA", "CH", "FR", "LU"),
"fur": ("IT",),
"fy": ("NL", "DE"),
"ga": ("IE",),
"gd": ("GB",),
"gez": ("ER", "ET"),
"gl": ("ES",),
"gu": ("IN",),
"gv": ("GB",),
"ha": ("NG",),
"hak": ("TW",),
"he": ("IL",),
"hi": ("IN",),
"hne": ("IN",),
"hr": ("HR",),
"hsb": ("DE",),
"ht": ("HT",),
"hu": ("HU",),
"hy": ("AM",),
"ia": ("FR",),
"id": ("ID",),
"ig": ("NG",),
"ik": ("CA",),
"is": ("IS",),
"it": ("CH", "IT"),
"iu": ("CA",),
"iw": ("IL",),
"ja": ("JP",),
"ka": ("GE",),
"kk": ("KZ",),
"kl": ("GL",),
"km": ("KH",),
"kn": ("IN",),
"ko": ("KR",),
"kok": ("IN",),
"ks": ("IN",),
"ku": ("TR",),
"kw": ("GB",),
"ky": ("KG",),
"lb": ("LU",),
"lg": ("UG",),
"li": ("BE", "NL"),
"lij": ("IT",),
"ln": ("CD",),
"lo": ("LA",),
"lt": ("LT",),
"lv": ("LV",),
"lzh": ("TW",),
"mag": ("IN",),
"mai": ("IN",),
"mg": ("MG",),
"mhr": ("RU",),
"mi": ("NZ",),
"mk": ("MK",),
"ml": ("IN",),
"mn": ("MN",),
"mni": ("IN",),
"mr": ("IN",),
"ms": ("MY",),
"mt": ("MT",),
"my": ("MM",),
"nan": ("TW",),
"nb": ("NO",),
"nds": ("DE", "NL"),
"ne": ("NP",),
"nhn": ("MX",),
"niu": ("NU", "NZ"),
"nl": ("AW", "BE", "NL"),
"nn": ("NO",),
"nr": ("ZA",),
"nso": ("ZA",),
"oc": ("FR",),
"om": ("ET", "KE"),
"or": ("IN",),
"os": ("RU",),
"pa": ("IN", "PK"),
"pap": ("AN", "AW", "CW"),
"pl": ("PL",),
"ps": ("AF",),
"pt": ("BR", "PT"),
"quz": ("PE",),
"raj": ("IN",),
"ro": ("RO",),
"ru": ("RU", "UA"),
"rw": ("RW",),
"sa": ("IN",),
"sat": ("IN",),
"sc": ("IT",),
"sd": ("IN", "PK"),
"se": ("NO",),
"shs": ("CA",),
"si": ("LK",),
"sid": ("ET",),
"sk": ("SK",),
"sl": ("SI",),
"so": ("DJ", "ET", "KE", "SO"),
"sq": ("AL", "ML"),
"sr": ("ME", "RS"),
"ss": ("ZA",),
"st": ("ZA",),
"sv": ("FI", "SE"),
"sw": ("KE", "TZ"),
"szl": ("PL",),
"ta": ("IN", "LK"),
"tcy": ("IN",),
"te": ("IN",),
"tg": ("TJ",),
"th": ("TH",),
"the": ("NP",),
"ti": ("ER", "ET"),
"tig": ("ER",),
"tk": ("TM",),
"tl": ("PH",),
"tn": ("ZA",),
"tr": ("CY", "TR"),
"ts": ("ZA",),
"tt": ("RU",),
"ug": ("CN",),
"uk": ("UA",),
"unm": ("US",),
"ur": ("IN", "PK"),
"uz": ("UZ",),
"ve": ("ZA",),
"vi": ("VN",),
"wa": ("BE",),
"wae": ("CH",),
"wal": ("ET",),
"wo": ("SN",),
"xh": ("ZA",),
"yi": ("US",),
"yo": ("NG",),
"yue": ("HK",),
"zh": ("CN", "HK", "SG", "TW"),
"zu": ("ZA",),
}
def __init__(self, generator: Any) -> None:
"""
Base class for fake data providers
:param generator: `Generator` instance
"""
self.generator = generator
def locale(self) -> str:
"""Generate a random underscored i18n locale code (e.g. en_US)."""
language_code = self.language_code()
return (
language_code
+ "_"
+ self.random_element(
BaseProvider.language_locale_codes[language_code],
)
)
def language_code(self) -> str:
"""Generate a random i18n language code (e.g. en)."""
return self.random_element(BaseProvider.language_locale_codes.keys())
def random_int(self, min: int = 0, max: int = 9999, step: int = 1) -> int:
"""Generate a random integer between two integers ``min`` and ``max`` inclusive
while observing the provided ``step`` value.
This method is functionally equivalent to randomly sampling an integer
from the sequence ``range(min, max + 1, step)``.
:sample: min=0, max=15
:sample: min=0, max=15, step=3
"""
return self.generator.random.randrange(min, max + 1, step)
def random_digit(self) -> int:
"""Generate a random digit (0 to 9)."""
return self.generator.random.randint(0, 9)
def random_digit_not_null(self) -> int:
"""Generate a random non-zero digit (1 to 9)."""
return self.generator.random.randint(1, 9)
def random_digit_above_two(self) -> int:
"""Generate a random digit above value two (2 to 9)."""
return self.generator.random.randint(2, 9)
def random_digit_or_empty(self) -> Union[int, str]:
"""Generate a random digit (0 to 9) or an empty string.
This method will return an empty string 50% of the time,
and each digit has a 1/20 chance of being generated.
"""
if self.generator.random.randint(0, 1):
return self.generator.random.randint(0, 9)
else:
return ""
def random_digit_not_null_or_empty(self) -> Union[int, str]:
"""Generate a random non-zero digit (1 to 9) or an empty string.
This method will return an empty string 50% of the time,
and each digit has a 1/18 chance of being generated.
"""
if self.generator.random.randint(0, 1):
return self.generator.random.randint(1, 9)
else:
return ""
def random_number(self, digits: Optional[int] = None, fix_len: bool = False) -> int:
"""Generate a random integer according to the following rules:
- If ``digits`` is ``None`` (default), its value will be set to a random
integer from 1 to 9.
- If ``fix_len`` is ``False`` (default), all integers that do not exceed
the number of ``digits`` can be generated.
- If ``fix_len`` is ``True``, only integers with the exact number of
``digits`` can be generated.
:sample: fix_len=False
:sample: fix_len=True
:sample: digits=3
:sample: digits=3, fix_len=False
:sample: digits=3, fix_len=True
"""
if digits is None:
digits = self.random_digit_not_null()
if digits < 0:
raise ValueError("The digit parameter must be greater than or equal to 0.")
if fix_len:
if digits > 0:
return self.generator.random.randint(pow(10, digits - 1), pow(10, digits) - 1)
else:
raise ValueError("A number of fixed length cannot have less than 1 digit in it.")
else:
return self.generator.random.randint(0, pow(10, digits) - 1)
def random_letter(self) -> str:
"""Generate a random ASCII letter (a-z and A-Z)."""
return self.generator.random.choice(getattr(string, "letters", string.ascii_letters))
def random_letters(self, length: int = 16) -> Sequence[str]:
"""Generate a list of random ASCII letters (a-z and A-Z) of the specified ``length``.
:sample: length=10
"""
return self.random_choices(
getattr(string, "letters", string.ascii_letters),
length=length,
)
def random_lowercase_letter(self) -> str:
"""Generate a random lowercase ASCII letter (a-z)."""
return self.generator.random.choice(string.ascii_lowercase)
def random_uppercase_letter(self) -> str:
"""Generate a random uppercase ASCII letter (A-Z)."""
return self.generator.random.choice(string.ascii_uppercase)
def random_elements(
self,
elements: ElementsType[T] = ("a", "b", "c"), # type: ignore[assignment]
length: Optional[int] = None,
unique: bool = False,
use_weighting: Optional[bool] = None,
) -> Sequence[T]:
"""Generate a list of randomly sampled objects from ``elements``.
Set ``unique`` to ``False`` for random sampling with replacement, and set ``unique`` to
``True`` for random sampling without replacement.
If ``length`` is set to ``None`` or is omitted, ``length`` will be set to a random
integer from 1 to the size of ``elements``.
The value of ``length`` cannot be greater than the number of objects
in ``elements`` if ``unique`` is set to ``True``.
The value of ``elements`` can be any sequence type (``list``, ``tuple``, ``set``,
``string``, etc) or an ``OrderedDict`` type. If it is the latter, the keys will be
used as the objects for sampling, and the values will be used as weighted probabilities
if ``unique`` is set to ``False``. For example:
.. code-block:: python
# Random sampling with replacement
fake.random_elements(
elements=OrderedDict([
("variable_1", 0.5), # Generates "variable_1" 50% of the time
("variable_2", 0.2), # Generates "variable_2" 20% of the time
("variable_3", 0.2), # Generates "variable_3" 20% of the time
("variable_4": 0.1), # Generates "variable_4" 10% of the time
]), unique=False
)
# Random sampling without replacement (defaults to uniform distribution)
fake.random_elements(
elements=OrderedDict([
("variable_1", 0.5),
("variable_2", 0.2),
("variable_3", 0.2),
("variable_4": 0.1),
]), unique=True
)
:sample: elements=('a', 'b', 'c', 'd'), unique=False
:sample: elements=('a', 'b', 'c', 'd'), unique=True
:sample: elements=('a', 'b', 'c', 'd'), length=10, unique=False
:sample: elements=('a', 'b', 'c', 'd'), length=4, unique=True
:sample: elements=OrderedDict([
("a", 0.45),
("b", 0.35),
("c", 0.15),
("d", 0.05),
]), length=20, unique=False
:sample: elements=OrderedDict([
("a", 0.45),
("b", 0.35),
("c", 0.15),
("d", 0.05),
]), unique=True
"""
use_weighting = use_weighting if use_weighting is not None else self.__use_weighting__
if isinstance(elements, dict) and not isinstance(elements, OrderedDict):
raise ValueError("Use OrderedDict only to avoid dependency on PYTHONHASHSEED (See #363).")
fn = choices_distribution_unique if unique else choices_distribution
if length is None:
length = self.generator.random.randint(1, len(elements))
if unique and length > len(elements):
raise ValueError("Sample length cannot be longer than the number of unique elements to pick from.")
if isinstance(elements, dict):
if not hasattr(elements, "_key_cache"):
elements._key_cache = tuple(elements.keys()) # type: ignore
choices = elements._key_cache # type: ignore[attr-defined, union-attr]
probabilities = tuple(elements.values()) if use_weighting else None
else:
if unique:
# shortcut
return self.generator.random.sample(elements, length)
choices = elements
probabilities = None
return fn(
tuple(choices),
probabilities,
self.generator.random,
length=length,
)
def random_choices(
self,
elements: ElementsType[T] = ("a", "b", "c"), # type: ignore[assignment]
length: Optional[int] = None,
) -> Sequence[T]:
"""Generate a list of objects randomly sampled from ``elements`` with replacement.
For information on the ``elements`` and ``length`` arguments, please refer to
:meth:`random_elements() <faker.providers.BaseProvider.random_elements>` which
is used under the hood with the ``unique`` argument explicitly set to ``False``.
:sample: elements=('a', 'b', 'c', 'd')
:sample: elements=('a', 'b', 'c', 'd'), length=10
:sample: elements=OrderedDict([
("a", 0.45),
("b", 0.35),
("c", 0.15),
("d", 0.05),
])
:sample: elements=OrderedDict([
("a", 0.45),
("b", 0.35),
("c", 0.15),
("d", 0.05),
]), length=20
"""
return self.random_elements(elements, length, unique=False)
def random_element(self, elements: ElementsType[T] = ("a", "b", "c")) -> T:
"""Generate a randomly sampled object from ``elements``.
For information on the ``elements`` argument, please refer to
:meth:`random_elements() <faker.providers.BaseProvider.random_elements>` which
is used under the hood with the ``unique`` argument set to ``False`` and the
``length`` argument set to ``1``.
:sample: elements=('a', 'b', 'c', 'd')
:sample size=10: elements=OrderedDict([
("a", 0.45),
("b", 0.35),
("c", 0.15),
("d", 0.05),
])
"""
return self.random_elements(elements, length=1)[0]
def random_sample(
self, elements: ElementsType[T] = ("a", "b", "c"), length: Optional[int] = None # type: ignore[assignment]
) -> Sequence[T]:
"""Generate a list of objects randomly sampled from ``elements`` without replacement.
For information on the ``elements`` and ``length`` arguments, please refer to
:meth:`random_elements() <faker.providers.BaseProvider.random_elements>` which
is used under the hood with the ``unique`` argument explicitly set to ``True``.
:sample: elements=('a', 'b', 'c', 'd', 'e', 'f')
:sample: elements=('a', 'b', 'c', 'd', 'e', 'f'), length=3
"""
return self.random_elements(elements, length, unique=True)
def randomize_nb_elements(
self,
number: int = 10,
le: bool = False,
ge: bool = False,
min: Optional[int] = None,
max: Optional[int] = None,
) -> int:
"""Generate a random integer near ``number`` according to the following rules:
- If ``le`` is ``False`` (default), allow generation up to 140% of ``number``.
If ``True``, upper bound generation is capped at 100%.
- If ``ge`` is ``False`` (default), allow generation down to 60% of ``number``.
If ``True``, lower bound generation is capped at 100%.
- If a numerical value for ``min`` is provided, generated values less than ``min``
will be clamped at ``min``.
- If a numerical value for ``max`` is provided, generated values greater than
``max`` will be clamped at ``max``.
- If both ``le`` and ``ge`` are ``True``, the value of ``number`` will automatically
be returned, regardless of the values supplied for ``min`` and ``max``.
:sample: number=100
:sample: number=100, ge=True
:sample: number=100, ge=True, min=120
:sample: number=100, le=True
:sample: number=100, le=True, max=80
:sample: number=79, le=True, ge=True, min=80
"""
if le and ge:
return number
_min = 100 if ge else 60
_max = 100 if le else 140
nb = int(number * self.generator.random.randint(_min, _max) / 100)
if min is not None and nb < min:
nb = min
if max is not None and nb > max:
nb = max
return nb
def numerify(self, text: str = "###") -> str:
"""Generate a string with each placeholder in ``text`` replaced according
to the following rules:
- Number signs ('#') are replaced with a random digit (0 to 9).
- Percent signs ('%') are replaced with a random non-zero digit (1 to 9).
- Dollar signs ('$') are replaced with a random digit above two (2 to 9).
- Exclamation marks ('!') are replaced with a random digit or an empty string.
- At symbols ('@') are replaced with a random non-zero digit or an empty string.
Under the hood, this method uses :meth:`random_digit() <faker.providers.BaseProvider.random_digit>`,
:meth:`random_digit_not_null() <faker.providers.BaseProvider.random_digit_not_null>`,
:meth:`random_digit_or_empty() <faker.providers.BaseProvider.random_digit_or_empty>`,
and :meth:`random_digit_not_null_or_empty() <faker.providers.BaseProvider.random_digit_not_null_or_empty>`
to generate the random values.
:sample: text='Intel Core i%-%%##K vs AMD Ryzen % %%##X'
:sample: text='!!! !!@ !@! !@@ @!! @!@ @@! @@@'
"""
text = _re_hash.sub(lambda x: str(self.random_digit()), text)
text = _re_perc.sub(lambda x: str(self.random_digit_not_null()), text)
text = _re_dol.sub(lambda x: str(self.random_digit_above_two()), text)
text = _re_excl.sub(lambda x: str(self.random_digit_or_empty()), text)
text = _re_at.sub(lambda x: str(self.random_digit_not_null_or_empty()), text)
return text
def lexify(self, text: str = "????", letters: str = string.ascii_letters) -> str:
"""Generate a string with each question mark ('?') in ``text``
replaced with a random character from ``letters``.
By default, ``letters`` contains all ASCII letters, uppercase and lowercase.
:sample: text='Random Identifier: ??????????'
:sample: text='Random Identifier: ??????????', letters='ABCDE'
"""
return _re_qm.sub(lambda x: self.random_element(letters), text)
def bothify(self, text: str = "## ??", letters: str = string.ascii_letters) -> str:
"""Generate a string with each placeholder in ``text`` replaced according to the following rules:
- Number signs ('#') are replaced with a random digit (0 to 9).
- Question marks ('?') are replaced with a random character from ``letters``.
By default, ``letters`` contains all ASCII letters, uppercase and lowercase.
Under the hood, this method uses :meth:`numerify() <faker.providers.BaseProvider.numerify>` and
and :meth:`lexify() <faker.providers.BaseProvider.lexify>` to generate random values for number
signs and question marks respectively.
:sample: letters='ABCDE'
:sample: text='Product Number: ????-########'
:sample: text='Product Number: ????-########', letters='ABCDE'
"""
return self.lexify(self.numerify(text), letters=letters)
def hexify(self, text: str = "^^^^", upper: bool = False) -> str:
"""Generate a string with each circumflex ('^') in ``text``
replaced with a random hexadecimal character.
By default, ``upper`` is set to False. If set to ``True``, output
will be formatted using uppercase hexadecimal characters.
:sample: text='MAC Address: ^^:^^:^^:^^:^^:^^'
:sample: text='MAC Address: ^^:^^:^^:^^:^^:^^', upper=True
"""
letters = string.hexdigits[:-6]
if upper:
letters = letters.upper()
return _re_cir.sub(lambda x: self.random_element(letters), text)
class DynamicProvider(BaseProvider):
def __init__(
self,
provider_name: str,
elements: Optional[List] = None,
generator: Optional[Any] = None,
):
"""
A faker Provider capable of getting a list of elements to randomly select from,
instead of using the predefined list of elements which exist in the default providers in faker.
:param provider_name: Name of provider, which would translate into the function name e.g. faker.my_fun().
:param elements: List of values to randomly select from
:param generator: Generator object. If missing, the default Generator is used.
:example:
>>>from faker import Faker
>>>from faker.providers import DynamicProvider
>>>medical_professions_provider = DynamicProvider(
>>> provider_name="medical_profession",
>>> elements=["dr.", "doctor", "nurse", "surgeon", "clerk"],
>>>)
>>>fake = Faker()
>>>fake.add_provider(medical_professions_provider)
>>>fake.medical_profession()
"dr."
"""
if not generator:
generator = Generator()
super().__init__(generator)
if provider_name.startswith("__"):
raise ValueError("Provider name cannot start with __ as it would be ignored by Faker")
self.provider_name = provider_name
self.elements = []
if elements:
self.elements = elements
setattr(self, provider_name, self.get_random_value) # Add a method for the provider_name value
def add_element(self, element: str) -> None:
"""Add new element."""
self.elements.append(element)
def get_random_value(self, use_weighting: bool = True) -> Any:
"""Returns a random value for this provider.
:param use_weighting: boolean option to use weighting. Defaults to True
"""
if not self.elements or len(self.elements) == 0:
raise ValueError("Elements should be a list of values the provider samples from")
return self.random_elements(self.elements, length=1, use_weighting=use_weighting)[0]