From 12cf076118570eebbff08c6b3090e0d4798447a1 Mon Sep 17 00:00:00 2001
From: cyfraeviolae <cyfraeviolae>
Date: Wed, 3 Apr 2024 03:17:55 -0400
Subject: no venv

---
 .../faker/providers/ssn/hu_HU/__init__.py          | 135 ---------------------
 .../ssn/hu_HU/__pycache__/__init__.cpython-311.pyc | Bin 5401 -> 0 bytes
 2 files changed, 135 deletions(-)
 delete mode 100644 venv/lib/python3.11/site-packages/faker/providers/ssn/hu_HU/__init__.py
 delete mode 100644 venv/lib/python3.11/site-packages/faker/providers/ssn/hu_HU/__pycache__/__init__.cpython-311.pyc

(limited to 'venv/lib/python3.11/site-packages/faker/providers/ssn/hu_HU')

diff --git a/venv/lib/python3.11/site-packages/faker/providers/ssn/hu_HU/__init__.py b/venv/lib/python3.11/site-packages/faker/providers/ssn/hu_HU/__init__.py
deleted file mode 100644
index cdfb5dd..0000000
--- a/venv/lib/python3.11/site-packages/faker/providers/ssn/hu_HU/__init__.py
+++ /dev/null
@@ -1,135 +0,0 @@
-from functools import reduce
-from math import fmod
-from typing import Optional
-
-from ....typing import SexLiteral
-from .. import Provider as SsnProvider
-
-
-def zfix(d: int) -> str:
-    return "0" + str(d) if d < 10 else str(d)
-
-
-class Provider(SsnProvider):
-    def ssn(self, dob: Optional[str] = None, gender: Optional[SexLiteral] = None) -> str:
-        """
-        Generates Hungarian SSN equivalent (személyazonosító szám or, colloquially, személyi szám)
-
-        :param dob: date of birth as a "YYMMDD" string - this determines the checksum regime and is also encoded
-            in the személyazonosító szám.
-        :type dob: str
-        :param gender: gender of the person - "F" for female, M for male.
-        :type gender: str
-        :return: személyazonosító szám in str format (11 digs)
-        :rtype: str
-        """
-        # Hungarian SSNs consist of 11 decimal characters, of the following
-        # schema:
-        #
-        #       M EEHHNN SSSK
-        #       ↑    ↑    ↑ ↑
-        #  gender  bday ser check digit
-        #
-        #
-        #  The M (gender) character
-        #  ------------------------
-        #
-        #  Born <= 1999        Born > 1999
-        #  Male  Female        Male Female
-        #   1      2             3     4
-        #
-        #  It also includes information on original citizenship,but this is
-        #  ignored for the sake of simplicity.
-        #
-        #  Birthday
-        #  --------
-        #
-        #  Simply encoded as EEHHNN.
-        #
-        #
-        #  Serial
-        #  ------
-        #
-        #  These digits differentiate persons born on the same date.
-        #
-        #
-        #  Check digit
-        #  -----------
-        #
-        #  For those born before 1996:
-        #
-        #  k11 = (1k1 + 2k2 + 3k3... 10k10) mod 11
-        #
-        #  That is, you multiply each digit with its ordinal, add it up and
-        #  take it mod 11. After 1996:
-        #
-        #  k11 = (10k1 + 9k2 + 8k3... 1k10) mod 11
-        #
-
-        if dob:
-            E = int(dob[0:2])
-            H = int(dob[2:4])
-            N = int(dob[4:6])
-
-            if E <= 17:
-                # => person born after '99 in all likelihood...
-                if gender:
-                    if gender.upper() == "F":
-                        M = 4
-                    elif gender.upper() == "M":
-                        M = 3
-                    else:
-                        raise ValueError("Unknown gender - specify M or F.")
-                else:
-                    M = self.generator.random_int(3, 4)
-            else:
-                # => person born before '99.
-                if gender:
-                    if gender.upper() == "F":
-                        M = 2
-                    elif gender.upper() == "M":
-                        M = 1
-                    else:
-                        raise ValueError("Unknown gender - specify M or F.")
-                else:
-                    M = self.generator.random_int(1, 2)
-        elif gender:
-            # => assume statistically that the person will be born before '99.
-            E = self.generator.random_int(17, 99)
-            H = self.generator.random_int(1, 12)
-            N = self.generator.random_int(1, 30)
-
-            if gender.upper() == "F":
-                M = 2
-            elif gender.upper() == "M":
-                M = 1
-            else:
-                raise ValueError("Unknown gender - specify M or F")
-        else:
-            M = self.generator.random_int(1, 2)
-            E = self.generator.random_int(17, 99)
-            H = self.generator.random_int(1, 12)
-            N = self.generator.random_int(1, 30)
-
-        H_, N_ = zfix(H), zfix(N)
-        S = f"{self.generator.random_digit()}{self.generator.random_digit()}{self.generator.random_digit()}"
-
-        vdig = f"{M}{E}{H_}{N_}{S}"
-
-        if 17 < E < 97:
-            cum = [(k + 1) * int(v) for k, v in enumerate(vdig)]
-        else:
-            cum = [(10 - k) * int(v) for k, v in enumerate(vdig)]
-
-        K = fmod(reduce(lambda x, y: x + y, cum), 11)
-
-        return vdig + str(int(K))
-
-    vat_id_formats = ("HU########",)
-
-    def vat_id(self) -> str:
-        """
-        http://ec.europa.eu/taxation_customs/vies/faq.html#item_11
-        :return: A random Hungarian VAT ID
-        """
-        return self.bothify(self.random_element(self.vat_id_formats))
diff --git a/venv/lib/python3.11/site-packages/faker/providers/ssn/hu_HU/__pycache__/__init__.cpython-311.pyc b/venv/lib/python3.11/site-packages/faker/providers/ssn/hu_HU/__pycache__/__init__.cpython-311.pyc
deleted file mode 100644
index 7bdb0a8..0000000
Binary files a/venv/lib/python3.11/site-packages/faker/providers/ssn/hu_HU/__pycache__/__init__.cpython-311.pyc and /dev/null differ
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