Provided by: python-gmpy2-common_2.1.2-1build1_all 
NAME
gmpy2 - gmpy2 Documentation
Contents:
INTRODUCTION TO GMPY2
gmpy2 is a C-coded Python extension module that supports multiple-precision arithmetic. gmpy2 is the
successor to the original gmpy module. The gmpy module only supported the GMP multiple-precision library.
gmpy2 adds support for the MPFR (correctly rounded real floating-point arithmetic) and MPC (correctly
rounded complex floating-point arithmetic) libraries. gmpy2 also updates the API and naming conventions
to be more consistent and support the additional functionality.
The following libraries are supported:
• GMP for integer and rational arithmetic
Home page: http://gmplib.org
• MPIR is based on the GMP library but adds support for Microsoft's Visual Studio compiler. It is used to
create the Windows binaries.
Home page: http://www.mpir.org
• MPFR for correctly rounded real floating-point arithmetic
Home page: http://www.mpfr.org
• MPC for correctly rounded complex floating-point arithmetic
Home page: http://mpc.multiprecision.org
• Generalized Lucas sequences and primality tests are based on the following code:
mpz_lucas: http://sourceforge.net/projects/mpzlucas/
mpz_prp: http://sourceforge.net/projects/mpzprp/
gmpy2 Versions
This manual documents the two major versions of gmpy2. Sections that are specific to a particular version
will be identified as such.
The 2.0 version is the stable release that only receives bug fixes and very minor updates. Version 2.1 is
currently under active development and includes several new capabilities. Most gmpy2 2.0 code should run
unchanged with gmpy2 2.1.
The most significant change in gmpy2 2.1 is support for thread-safe contexts. This change required
extensive refactoring of almost all internal functions.
Please see the History chapter for a detail list of the changes.
INSTALLATION
Installing gmpy2 on Windows
Pre-compiled versions of gmpy2 2.0.8 are available at https://pypi.org/project/gmpy2/.
A pre-compiled version of gmpy2 2.1.0a1 is available at https://pypi.org/project/gmpy2/2.1.0a1/. Updated
Windows versions should be available again beginning with version 2.1.0b1.
Installing gmpy2 on Unix/Linux
Requirements
gmpy2 has only been tested with the most recent versions of GMP, MPFR and MPC. Specifically, for integer
and rational support, gmpy2 requires GMP 5.0.x or later. To support multiple-precision floating point
arithmetic, MPFR 3.1.x or later is required. MPC 1.0.1 or later is required for complex arithmetic.
Short Instructions
gmpy2 requires the development files for GMP, MPFR, and MPC. The actual package that provides these files
varies between Linux distributions. Installing "libmpc-dev" (or its equivalent) is usually sufficient.
If your system has the development libraries installed, compiling should be as simple as:
cd <gmpy2 source directory>
python setup.py build_ext --force install --force
If this fails, read on.
Detailed Instructions
Note: You really shouldn't need to do this. Unless you need the capabilities provided a newer
GMP/MPFR/MPC, you should use the versions provided by your distribution.
If your Linux distribution does not support recent versions of GMP, MPFR and MPC, you will need to
compile your own versions. To avoid any possible conflict with existing libraries on your system, it is
recommended to use a directory not normally used by your distribution.
Create the desired destination directory for GMP, MPFR, and MPC.
$ mkdir /home/<<your username>>/local
Download and un-tar the GMP source code. Change to the GMP source directory and compile GMP.
$ cd /home/<<your username>>/local/src/gmp-6.1.2
$ ./configure --prefix=/home/<<your username>>/local
$ make
$ make check
$ make install
Download and un-tar the MPFR source code. Change to the MPFR source directory and compile MPFR.
$ cd /home/<<your username>>/local/src/mpfr-4.0.1
$ ./configure --prefix=/home/<<your username>>/local --with-gmp=/home/<<your username>>/local
$ make
$ make check
$ make install
Download and un-tar the MPC source code. Change to the MPC source directory and compile MPC.
$ cd /home/<<your username>>/local/src/mpc-1.1.0
$ ./configure --prefix=/home/<<your username>>/local --with-gmp=/home/<<your username>>/local --with-mpfr=/home/<<your username>>/local
$ make
$ make check
$ make install
Compile gmpy2 and specify the location of GMP, MPFR and MPC. The location of the GMP, MPFR, and MPC
libraries is embedded into the gmpy2 library so the new versions of GMP, MPFR, and MPC do not need to be
installed the system library directories. The prefix directory is added to the beginning of the
directories that are checked so it will be found first.
$ python setup.py install --prefix=/home/case/local
If you get a "permission denied" error message, you may need to use:
$ python setup.py build --prefix=/home/case/local
$ sudo python setup.py install --prefix=/home/case/local
Options for setup.py
--force
Ignore the timestamps on all files and recompile. Normally, the results of a previous compile are
cached. To force gmpy2 to recognize external changes (updated version of GMP, etc.), you will need
to use this option.
--mpir Force the use of MPIR instead of GMP. GMP is the default library on non-Windows operating systems.
--gmp Force the use of GMP instead of MPIR. MPIR is the default library on Windows operating systems.
--shared=<...>
Add the specified directory prefix to the beginning of the list of directories that are searched
for GMP, MPFR, and MPC shared libraries.
--static=<...>
Create a statically linked library using libraries from the specified path, or from the operating
system's default library location if no path is specified
OVERVIEW OF GMPY2
Tutorial
The mpz type is compatible with Python's built-in int/long type but is significantly faster for large
values. The cutover point for performance varies, but can be as low as 20 to 40 digits. A variety of
additional integer functions are provided.
>>> import gmpy2
>>> from gmpy2 import mpz,mpq,mpfr,mpc
>>> mpz(99) * 43
mpz(4257)
>>> pow(mpz(99), 37, 59)
mpz(18)
>>> gmpy2.isqrt(99)
mpz(9)
>>> gmpy2.isqrt_rem(99)
(mpz(9), mpz(18))
>>> gmpy2.gcd(123,27)
mpz(3)
>>> gmpy2.lcm(123,27)
mpz(1107)
The mpq type is compatible with the fractions.Fraction type included with Python.
>>> mpq(3,7)/7
mpq(3,49)
>>> mpq(45,3) * mpq(11,8)
mpq(165,8)
The most significant new features in gmpy2 are support for correctly rounded arbitrary precision real and
complex arithmetic based on the MPFR and MPC libraries. Floating point contexts are used to control
exceptional conditions. For example, division by zero can either return an Infinity or raise an
exception.
>>> mpfr(1)/7
mpfr('0.14285714285714285')
>>> gmpy2.get_context().precision=200
>>> mpfr(1)/7
mpfr('0.1428571428571428571428571428571428571428571428571428571428571',200)
>>> gmpy2.get_context()
context(precision=200, real_prec=Default, imag_prec=Default,
round=RoundToNearest, real_round=Default, imag_round=Default,
emax=1073741823, emin=-1073741823,
subnormalize=False,
trap_underflow=False, underflow=False,
trap_overflow=False, overflow=False,
trap_inexact=False, inexact=True,
trap_invalid=False, invalid=False,
trap_erange=False, erange=False,
trap_divzero=False, divzero=False,
trap_expbound=False,
allow_complex=False)
>>> mpfr(1)/0
mpfr('inf')
>>> gmpy2.get_context().trap_divzero=True
>>> mpfr(1)/0
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
gmpy2.DivisionByZeroError: 'mpfr' division by zero in division
>>> gmpy2.get_context()
context(precision=200, real_prec=Default, imag_prec=Default,
round=RoundToNearest, real_round=Default, imag_round=Default,
emax=1073741823, emin=-1073741823,
subnormalize=False,
trap_underflow=False, underflow=False,
trap_overflow=False, overflow=False,
trap_inexact=False, inexact=True,
trap_invalid=False, invalid=False,
trap_erange=False, erange=False,
trap_divzero=True, divzero=True,
trap_expbound=False,
allow_complex=False)
>>> gmpy2.sqrt(mpfr(-2))
mpfr('nan')
>>> gmpy2.get_context().allow_complex=True
>>> gmpy2.get_context().precision=53
>>> gmpy2.sqrt(mpfr(-2))
mpc('0.0+1.4142135623730951j')
>>>
>>> gmpy2.set_context(gmpy2.context())
>>> with gmpy2.local_context() as ctx:
... print(gmpy2.const_pi())
... ctx.precision+=20
... print(gmpy2.const_pi())
... ctx.precision+=20
... print(gmpy2.const_pi())
...
3.1415926535897931
3.1415926535897932384628
3.1415926535897932384626433831
>>> print(gmpy2.const_pi())
3.1415926535897931
>>>
Miscellaneous gmpy2 Functions
from_binary(...)
from_binary(bytes) returns a gmpy2 object from a byte sequence created by to_binary().
get_cache(...)
get_cache() returns the current cache size (number of objects) and the maximum size per object
(number of limbs).
gmpy2 maintains an internal list of freed mpz, xmpz, mpq, mpfr, and mpc objects for reuse. The
cache significantly improves performance but also increases the memory footprint.
license(...)
license() returns the gmpy2 license information.
mp_limbsize(...)
mp_limbsize() returns the number of bits per limb used by the GMP or MPIR library.
mp_version(...)
mp_version() returns the version of the GMP or MPIR library.
mpc_version(...)
mpc_version() returns the version of the MPC library.
mpfr_version(...)
mpfr_version() returns the version of the MPFR library.
random_state(...)
random_state([seed]) returns a new object containing state information for the random number
generator. An optional integer argument can be specified as the seed value. Only the Mersenne
Twister random number generator is supported.
set_cache(...)
set_cache(number, size) updates the maximum number of freed objects of each type that are cached
and the maximum size (in limbs) of each object. The maximum number of objects of each type that
can be cached is 1000. The maximum size of an object is 16384. The maximum size of an object is
approximately 64K on 32-bit systems and 128K on 64-bit systems.
NOTE:
The caching options are global to gmpy2. Changes are not thread-safe. A change in one thread
will impact all threads.
to_binary(...)
to_binary(x) returns a byte sequence from a gmpy2 object. All object types are supported.
version(...)
version() returns the version of gmpy2.
MULTIPLE-PRECISION INTEGERS
The gmpy2 mpz type supports arbitrary precision integers. It should be a drop-in replacement for Python's
long type. Depending on the platform and the specific operation, an mpz will be faster than Python's long
once the precision exceeds 20 to 50 digits. All the special integer functions in GMP are supported.
Examples
>>> import gmpy2
>>> from gmpy2 import mpz
>>> mpz('123') + 1
mpz(124)
>>> 10 - mpz(1)
mpz(9)
>>> gmpy2.is_prime(17)
True
>>> mpz('1_2')
mpz(12)
NOTE:
The use of from gmpy2 import * is not recommended. The names in gmpy2 have been chosen to avoid
conflict with Python's builtin names but gmpy2 does use names that may conflict with other modules or
variable names.
NOTE:
gmpy2.mpz() ignores all embedded underscore characters. It does not attempt to be 100% compatible with
all Python exceptions.
mpz Methods
bit_clear(...)
x.bit_clear(n) returns a copy of x with bit n set to 0.
bit_flip(...)
x.bit_flip(n) returns a copy of x with bit n inverted.
bit_length(...)
x.bit_length() returns the number of significant bits in the radix-2 representation of x. For
compatibility with Python, mpz(0).bit_length() returns 0.
bit_scan0(...)
x.bit_scan0(n) returns the index of the first 0-bit of x with index >= n. If there are no more
0-bits in x at or above index n (which can only happen for x < 0, assuming an infinitely long 2's
complement format), then None is returned. n must be >= 0.
bit_scan1(...)
x.bit_scan1(n) returns the index of the first 1-bit of x with index >= n. If there are no more
1-bits in x at or above index n (which can only happen for x >= 0, assuming an infinitely long 2's
complement format), then None is returned. n must be >= 0.
bit_set(...)
x.bit_set(n) returns a copy of x with bit n set to 1.
bit_test(...)
x.bit_test(n) returns True if bit n of x is set, and False if it is not set.
conjugtae(...)
Return the conjugate of x (which is just a new reference to x since x not a complex number).
denominator(...)
x.denominator() returns mpz(1).
digits(...)
x.digits([base=10]) returns a string representing x in radix base.
imag Return the imaginary component of an mpz. Always mpz(0).
is_congruent(...)
x.is_congruent(y, m) returns True if x is congruent to y modulo m, else returns False.
is_divisible(...)
x.is_divisible(d) returns True if x is divisible by d, else returns False.
is_even(...)
x.is_even() returns True if x is even, else returns False.
is_odd(...)
x.is_odd() returns True if x is even, else returns False.
is_power(...)
x.is_power() returns True if x is a perfect power (there exists integers y and n > 1, such that
x=y**n), else returns False.
is_prime(...)
x.is_prime() returns True if x is _probably_ prime, else False if x is definitely composite.
See the documentation for gmpy2.is_prime for details on the underlaying primality tests that are
performed.
is_square(...)
x.is_square() returns True if x is a perfect square, else returns False.
num_digits(...)
x.num_digits([base=10]) returns the length of the string representing the absolute value of x in
radix base. The result is correct if base is a power of 2. For other bases, the result is usually
correct but may be 1 too large. base can range between 2 and 62, inclusive.
numerator(...)
x.numerator() returns a copy of x.
real(...)
x.real returns a copy of x.
mpz Functions
add(...)
add(x, y) returns x + y. The result type depends on the input types.
bincoef(...)
bincoef(x, n) returns the binomial coefficient. n must be >= 0.
bit_clear(...)
bit_clear(x, n) returns a copy of x with bit n set to 0.
bit_flip(...)
bit_flip(x, n) returns a copy of x with bit n inverted.
bit_length(...)
bit_length(x) returns the number of significant bits in the radix-2 representation of x. For
compatibility with Python, mpz(0).bit_length() returns 0 while mpz(0).num_digits(2) returns 1.
bit_mask(...)
bit_mask(n) returns an mpz object exactly n bits in length with all bits set.
bit_scan0(...)
bit_scan0(x, n) returns the index of the first 0-bit of x with index >= n. If there are no more
0-bits in x at or above index n (which can only happen for x < 0, assuming an infinitely long 2's
complement format), then None is returned. n must be >= 0.
bit_scan1(...)
bit_scan1(x, n) returns the index of the first 1-bit of x with index >= n. If there are no more
1-bits in x at or above index n (which can only happen for x >= 0, assuming an infinitely long 2's
complement format), then None is returned. n must be >= 0.
bit_set(...)
bit_set(x, n) returns a copy of x with bit n set to 1.
bit_test(...)
bit_test(x, n) returns True if bit n of x is set, and False if it is not set.
c_div(...)
c_div(x, y) returns the quotient of x divided by y. The quotient is rounded towards +Inf (ceiling
rounding). x and y must be integers.
c_div_2exp(...)
c_div_2exp(x, n) returns the quotient of x divided by 2**n. The quotient is rounded towards +Inf
(ceiling rounding). x must be an integer and n must be > 0.
c_divmod(...)
c_divmod(x, y) returns the quotient and remainder of x divided by y. The quotient is rounded
towards +Inf (ceiling rounding) and the remainder will have the opposite sign of y. x and y must
be integers.
c_divmod_2exp(...)
c_divmod_2exp(x ,n) returns the quotient and remainder of x divided by 2**n. The quotient is
rounded towards +Inf (ceiling rounding) and the remainder will be negative or zero. x must be an
integer and n must be > 0.
c_mod(...)
c_mod(x, y) returns the remainder of x divided by y. The remainder will have the opposite sign of
y. x and y must be integers.
c_mod_2exp(...)
c_mod_2exp(x, n) returns the remainder of x divided by 2**n. The remainder will be negative. x
must be an integer and n must be > 0.
comb(...)
comb(x, n) returns the number of combinations of x things, taking n at a time. n must be >= 0.
digits(...)
digits(x[, base=10]) returns a string representing x in radix base.
div(...)
div(x, y) returns x / y. The result type depends on the input types.
divexact(...)
divexact(x, y) returns the quotient of x divided by y. Faster than standard division but requires
the remainder is zero!
divm(...)
divm(a, b, m) returns x such that b * x == a modulo m. Raises a ZeroDivisionError exception if no
such value x exists.
double_fac(...)
double_fac(n) returns the exact double factorial of n.
f_div(...)
f_div(x, y) returns the quotient of x divided by y. The quotient is rounded towards -Inf (floor
rounding). x and y must be integers.
f_div_2exp(...)
f_div_2exp(x, n) returns the quotient of x divided by 2**n. The quotient is rounded towards -Inf
(floor rounding). x must be an integer and n must be > 0.
f_divmod(...)
f_divmod(x, y) returns the quotient and remainder of x divided by y. The quotient is rounded
towards -Inf (floor rounding) and the remainder will have the same sign as y. x and y must be
integers.
f_divmod_2exp(...)
f_divmod_2exp(x, n) returns quotient and remainder after dividing x by 2**n. The quotient is
rounded towards -Inf (floor rounding) and the remainder will be positive. x must be an integer and
n must be > 0.
f_mod(...)
f_mod(x, y) returns the remainder of x divided by y. The remainder will have the same sign as y. x
and y must be integers.
f_mod_2exp(...)
f_mod_2exp(x, n) returns remainder of x divided by 2**n. The remainder will be positive. x must be
an integer and n must be > 0.
fac(...)
fac(n) returns the exact factorial of n. Use factorial() to get the floating-point approximation.
fib(...)
fib(n) returns the n-th Fibonacci number.
fib2(...)
fib2(n) returns a 2-tuple with the (n-1)-th and n-th Fibonacci numbers.
gcd(...)
gcd(a, b) returns the greatest common divisor of integers a and b.
gcdext(...)
gcdext(a, b) returns a 3-element tuple (g, s, t) such that
g == gcd(a, b) and g == a * s + b * t
hamdist(...)
hamdist(x, y) returns the Hamming distance (number of bit-positions where the bits differ) between
integers x and y.
invert(...)
invert(x, m) returns y such that x * y == 1 modulo m, or 0 if no such y exists.
iroot(...)
iroot(x,n) returns a 2-element tuple (y, b) such that y is the integer n-th root of x and b is
True if the root is exact. x must be >= 0 and n must be > 0.
iroot_rem(...)
iroot_rem(x,n) returns a 2-element tuple (y, r) such that y is the integer n-th root of x and x =
y**n + r. x must be >= 0 and n must be > 0.
is_even(...)
is_even(x) returns True if x is even, False otherwise.
is_odd(...)
is_odd(x) returns True if x is odd, False otherwise.
is_power(...)
is_power(x) returns True if x is a perfect power, False otherwise.
is_prime(...)
is_prime(x[, n=25]) returns True if x is probably prime. False is returned if x is definitely
composite. x is checked for small divisors and up to n Miller-Rabin tests are performed. The
actual tests performed may vary based on version of GMP or MPIR used.
is_square(...)
is_square(x) returns True if x is a perfect square, False otherwise.
isqrt(...)
isqrt(x) returns the integer square root of an integer x. x must be >= 0.
isqrt_rem(...)
isqrt_rem(x) returns a 2-tuple (s, t) such that s = isqrt(x) and t = x - s * s. x must be >= 0.
jacobi(...)
jacobi(x, y) returns the Jacobi symbol (x | y). y must be odd and > 0.
kronecker(...)
kronecker(x, y) returns the Kronecker-Jacobi symbol (x | y).
lcm(...)
lcm(a, b) returns the lowest common multiple of integers a and b.
legendre(...)
legendre(x, y) returns the Legendre symbol (x | y). y is assumed to be an odd prime.
lucas(...)
lucas(n) returns the n-th Lucas number.
lucas2(...)
lucas2(n) returns a 2-tuple with the (n-1)-th and n-th Lucas numbers.
mpz(...)
mpz() returns a new mpz object set to 0.
mpz(n) returns a new mpz object from a numeric value n. If n is not an integer, it will be
truncated to an integer.
mpz(s[, base=0]) returns a new mpz object from a string s made of digits in the given base. If
base = 0, then binary, octal, or hex Python strings are recognized by leading 0b, 0o, or 0x
characters. Otherwise the string is assumed to be decimal. Values for base can range between 2 and
62.
mpz_random(...)
mpz_random(random_state, n) returns a uniformly distributed random integer between 0 and n-1. The
parameter random_state must be created by random_state() first.
mpz_rrandomb(...)
mpz_rrandomb(random_state, b) returns a random integer between 0 and 2**b - 1 with long sequences
of zeros and one in its binary representation. The parameter random_state must be created by
random_state() first.
mpz_urandomb(...)
mpz_urandomb(random_state, b) returns a uniformly distributed random integer between 0 and 2**b -
1. The parameter random_state must be created by random_state() first.
mul(...)
mul(x, y) returns x * y. The result type depends on the input types.
multi_fac(...)
multi_fac(n, m) returns the m-multi-factorial of n i.e n!^m.
next_prime(...)
next_prime(x) returns the next probable prime number > x.
num_digits(...)
num_digits(x[, base=10]) returns the length of the string representing the absolute value of x in
radix base. The result is correct if base is a power of 2. For other bases, the result is usually
correct but may be 1 too large. base can range between 2 and 62, inclusive.
popcount(...)
popcount(x) returns the number of bits with value 1 in x. If x < 0, the number of bits with value
1 is infinite so -1 is returned in that case.
powmod(...)
powmod(x, y, m) returns (x ** y) mod m. The exponent y can be negative, and the correct result
will be returned if the inverse of x mod m exists. Otherwise, a ValueError is raised.
primorial(...)
primorial(n) returns the exact primorial of n, i.e. the product of all positive prime numbers <=
n.
remove(...)
remove(x, f) will remove the factor f from x as many times as possible and return a 2-tuple (y, m)
where y = x // (f ** m). f does not divide y. m is the multiplicity of the factor f in x. f must
be > 1.
sub(...)
sub(x, y) returns x - y. The result type depends on the input types.
t_div(...)
t_div(x, y) returns the quotient of x divided by y. The quotient is rounded towards zero
(truncation). x and y must be integers.
t_div_2exp(...)
t_div_2exp(x, n) returns the quotient of x divided by 2**n. The quotient is rounded towards zero
(truncation). n must be > 0.
t_divmod(...)
t_divmod(x, y) returns the quotient and remainder of x divided by y. The quotient is rounded
towards zero (truncation) and the remainder will have the same sign as x. x and y must be
integers.
t_divmod_2exp(...)
t_divmod_2exp(x, n) returns the quotient and remainder of x divided by 2**n. The quotient is
rounded towards zero (truncation) and the remainder will have the same sign as x. x must be an
integer and n must be > 0.
t_mod(...)
t_mod(x, y) returns the remainder of x divided by y. The remainder will have the same sign as x. x
and y must be integers.
t_mod_2exp(...)
t_mod_2exp(x, n) returns the remainder of x divided by 2**n. The remainder will have the same sign
as x. x must be an integer and n must be > 0.
MULTIPLE-PRECISION INTEGERS (ADVANCED TOPICS)
The xmpz type
gmpy2 provides access to an experimental integer type called xmpz. The xmpz type is a mutable integer
type. In-place operations (+=, //=, etc.) modify the original object and do not create a new object.
Instances of xmpz cannot be used as dictionary keys.
>>> import gmpy2
>>> from gmpy2 import xmpz
>>> a = xmpz(123)
>>> b = a
>>> a += 1
>>> a
xmpz(124)
>>> b
xmpz(124)
The ability to change an xmpz object in-place allows for efficient and rapid bit manipulation.
Individual bits can be set or cleared:
>>> a[10]=1
>>> a
xmpz(1148)
Slice notation is supported. The bits referenced by a slice can be either 'read from' or 'written to'. To
clear a slice of bits, use a source value of 0. In 2s-complement format, 0 is represented by an arbitrary
number of 0-bits. To set a slice of bits, use a source value of ~0. The tilde operator inverts, or
complements the bits in an integer. (~0 is -1 so you can also use -1.) In 2s-complement format, -1 is
represented by an arbitrary number of 1-bits.
If a value for stop is specified in a slice assignment and the actual bit-length of the xmpz is less than
stop, then the destination xmpz is logically padded with 0-bits to length stop.
>>> a=xmpz(0)
>>> a[8:16] = ~0
>>> bin(a)
'0b1111111100000000'
>>> a[4:12] = ~a[4:12]
>>> bin(a)
'0b1111000011110000'
Bits can be reversed:
>>> bin(a)
'0b10001111100'
>>> a[::] = a[::-1]
>>> bin(a)
'0b111110001'
The iter_bits() method returns a generator that returns True or False for each bit position. The methods
iter_clear(), and iter_set() return generators that return the bit positions that are 1 or 0. The methods
support arguments start and stop that define the beginning and ending bit positions that are used. To
mimic the behavior of slices. the bit positions checked include start but the last position checked is
stop - 1.
>>> a=xmpz(117)
>>> bin(a)
'0b1110101'
>>> list(a.iter_bits())
[True, False, True, False, True, True, True]
>>> list(a.iter_clear())
[1, 3]
>>> list(a.iter_set())
[0, 2, 4, 5, 6]
>>> list(a.iter_bits(stop=12))
[True, False, True, False, True, True, True, False, False, False, False, False]
The following program uses the Sieve of Eratosthenes to generate a list of prime numbers.
from __future__ import print_function
import time
import gmpy2
def sieve(limit=1000000):
'''Returns a generator that yields the prime numbers up to limit.'''
# Increment by 1 to account for the fact that slices do not include
# the last index value but we do want to include the last value for
# calculating a list of primes.
sieve_limit = gmpy2.isqrt(limit) + 1
limit += 1
# Mark bit positions 0 and 1 as not prime.
bitmap = gmpy2.xmpz(3)
# Process 2 separately. This allows us to use p+p for the step size
# when sieving the remaining primes.
bitmap[4 : limit : 2] = -1
# Sieve the remaining primes.
for p in bitmap.iter_clear(3, sieve_limit):
bitmap[p*p : limit : p+p] = -1
return bitmap.iter_clear(2, limit)
if __name__ == "__main__":
start = time.time()
result = list(sieve())
print(time.time() - start)
print(len(result))
Advanced Number Theory Functions
The following functions are based on mpz_lucas.c and mpz_prp.c by David Cleaver.
A good reference for probable prime testing is http://www.pseudoprime.com/pseudo.html
is_bpsw_prp(...)
is_bpsw_prp(n) will return True if n is a Baillie-Pomerance-Selfridge-Wagstaff probable prime. A
BPSW probable prime passes the is_strong_prp() test with base 2 and the is_selfridge_prp() test.
is_euler_prp(...)
is_euler_prp(n,a) will return True if n is an Euler (also known as Solovay-Strassen) probable
prime to the base a.
Assuming:
gcd(n, a) == 1
n is odd
Then an Euler probable prime requires:
a**((n-1)/2) == 1 (mod n)
is_extra_strong_lucas_prp(...)
is_extra_strong_lucas_prp(n,p) will return True if n is an extra strong Lucas probable prime with
parameters (p,1).
Assuming:
n is odd
D = p*p - 4, D != 0
gcd(n, 2*D) == 1
n = s*(2**r) + Jacobi(D,n), s odd
Then an extra strong Lucas probable prime requires:
lucasu(p,1,s) == 0 (mod n)
or
lucasv(p,1,s) == +/-2 (mod n)
or
lucasv(p,1,s*(2**t)) == 0 (mod n) for some t, 0 <= t < r
is_fermat_prp(...)
is_fermat_prp(n,a) will return True if n is a Fermat probable prime to the base a.
Assuming:
gcd(n,a) == 1
Then a Fermat probable prime requires:
a**(n-1) == 1 (mod n)
is_fibonacci_prp(...)
is_fibonacci_prp(n,p,q) will return True if n is a Fibonacci probable prime with parameters (p,q).
Assuming:
n is odd
p > 0, q = +/-1
p*p - 4*q != 0
Then a Fibonacci probable prime requires:
lucasv(p,q,n) == p (mod n).
is_lucas_prp(...)
is_lucas_prp(n,p,q) will return True if n is a Lucas probable prime with parameters (p,q).
Assuming:
n is odd
D = p*p - 4*q, D != 0
gcd(n, 2*q*D) == 1
Then a Lucas probable prime requires:
lucasu(p,q,n - Jacobi(D,n)) == 0 (mod n)
is_selfridge_prp(...)
is_selfridge_prp(n) will return True if n is a Lucas probable prime with Selfidge parameters
(p,q). The Selfridge parameters are chosen by finding the first element D in the sequence {5, -7,
9, -11, 13, ...} such that Jacobi(D,n) == -1. Let p=1 and q = (1-D)/4 and then perform a Lucas
probable prime test.
is_strong_bpsw_prp(...)
is_strong_bpsw_prp(n) will return True if n is a strong Baillie-Pomerance-Selfridge-Wagstaff
probable prime. A strong BPSW probable prime passes the is_strong_prp() test with base 2 and the
is_strongselfridge_prp() test.
is_strong_lucas_prp(...)
is_strong_lucas_prp(n,p,q) will return True if n is a strong Lucas probable prime with parameters
(p,q).
Assuming:
n is odd
D = p*p - 4*q, D != 0
gcd(n, 2*q*D) == 1
n = s*(2**r) + Jacobi(D,n), s odd
Then a strong Lucas probable prime requires:
lucasu(p,q,s) == 0 (mod n)
or
lucasv(p,q,s*(2**t)) == 0 (mod n) for some t, 0 <= t < r
is_strong_prp(...)
is_strong_prp(n,a) will return True if n is a strong (also known as Miller-Rabin) probable prime
to the base a.
Assuming:
gcd(n,a) == 1
n is odd
n = s*(2**r) + 1, with s odd
Then a strong probable prime requires one of the following is true:
a**s == 1 (mod n)
or
a**(s*(2**t)) == -1 (mod n) for some t, 0 <= t < r.
is_strong_selfridge_prp(...)
is_strong_selfridge_prp(n) will return True if n is a strong Lucas probable prime with Selfidge
parameters (p,q). The Selfridge parameters are chosen by finding the first element D in the
sequence {5, -7, 9, -11, 13, ...} such that Jacobi(D,n) == -1. Let p=1 and q = (1-D)/4 and then
perform a strong Lucas probable prime test.
lucasu(...)
lucasu(p,q,k) will return the k-th element of the Lucas U sequence defined by p,q. p*p - 4*q must
not equal 0; k must be greater than or equal to 0.
lucasu_mod(...)
lucasu_mod(p,q,k,n) will return the k-th element of the Lucas U sequence defined by p,q (mod n).
p*p - 4*q must not equal 0; k must be greater than or equal to 0; n must be greater than 0.
lucasv(...)
lucasv(p,q,k) will return the k-th element of the Lucas V sequence defined by parameters (p,q).
p*p - 4*q must not equal 0; k must be greater than or equal to 0.
lucasv_mod(...)
lucasv_mod(p,q,k,n) will return the k-th element of the Lucas V sequence defined by parameters
(p,q) (mod n). p*p - 4*q must not equal 0; k must be greater than or equal to 0; n must be greater
than 0.
MULTIPLE-PRECISION RATIONALS
gmpy2 provides a rational type call mpq. It should be a replacement for Python's fractions.Fraction
module.
>>> import gmpy2
>>> from gmpy2 import mpq
>>> mpq(1,7)
mpq(1,7)
>>> mpq(1,7) * 11
mpq(11,7)
>>> mpq(11,7)/13
mpq(11,91)
mpq Methods
digits(...)
x.digits([base=10]) returns a Python string representing x in the given base (2 to 62, default is
10). A leading '-' is present if x < 0, but no leading '+' is present if x >= 0.
mpq Attributes
denominator
x.denominator returns the denominator of x.
numerator
x.numerator returns the numerator of x.
mpq Functions
add(...)
add(x, y) returns x + y. The result type depends on the input types.
div(...)
div(x, y) returns x / y. The result type depends on the input types.
f2q(...)
f2q(x[, err]) returns the best mpq approximating x to within relative error err. Default is the
precision of x. If x is not an mpfr, it is converted to an mpfr. Uses Stern-Brocot tree to find
the best approximation. An mpz is returned if the denominator is 1. If err < 0, then the relative
error sought is 2.0 ** err.
mpq(...)
mpq() returns an mpq object set to 0/1.
mpq(n) returns an mpq object with a numeric value n. Decimal and Fraction values are converted
exactly.
mpq(n, m) returns an mpq object with a numeric value n / m.
mpq(s[, base=10]) returns an mpq object from a string s made up of digits in the given base. s may
be made up of two numbers in the same base separated by a '/' character. If base == 10, then an
embedded '.' indicates a number with a decimal fractional part.
mul(...)
mul(x, y) returns x * y. The result type depends on the input types.
qdiv(...)
qdiv(x[, y=1]) returns x/y as mpz if possible, or as mpq if x is not exactly divisible by y.
sub(...)
sub(x, y) returns x - y. The result type depends on the input types.
MULTIPLE-PRECISION REALS
The mpfr type is based on the MPFR library. The new mpfr type supports correct rounding, selectable
rounding modes, and many trigonometric, exponential, and special functions. A context manager is used to
control precision, rounding modes, and the behavior of exceptions.
The default precision of an mpfr is 53 bits - the same precision as Python's float type. If the precision
is changed, then mpfr(float('1.2')) differs from mpfr('1.2'). To take advantage of the higher precision
provided by the mpfr type, always pass constants as strings.
>>> import gmpy2
>>> from gmpy2 import mpfr
>>> mpfr('1.2')
mpfr('1.2')
>>> mpfr(float('1.2'))
mpfr('1.2')
>>> gmpy2.get_context().precision=100
>>> mpfr('1.2')
mpfr('1.2000000000000000000000000000006',100)
>>> mpfr(float('1.2'))
mpfr('1.1999999999999999555910790149937',100)
>>>
Contexts
A context is used to control the behavior of mpfr and mpc arithmetic. In addition to controlling the
precision, the rounding mode can be specified, minimum and maximum exponent values can be changed,
various exceptions can be raised or ignored, gradual underflow can be enabled, and returning complex
results can be enabled.
gmpy2.context() creates a new context with all options set to default. gmpy2.set_context(ctx) will set
the active context to ctx. gmpy2.get_context() will return a reference to the active context. Note that
contexts are mutable: modifying the reference returned by get_context() will modify the active context
until a new context is enabled with set_context(). The copy() method of a context will return a copy of
the context.
The following example just modifies the precision. The remaining options will be discussed later.
>>> gmpy2.set_context(gmpy2.context())
>>> gmpy2.get_context()
context(precision=53, real_prec=Default, imag_prec=Default,
round=RoundToNearest, real_round=Default, imag_round=Default,
emax=1073741823, emin=-1073741823,
subnormalize=False,
trap_underflow=False, underflow=False,
trap_overflow=False, overflow=False,
trap_inexact=False, inexact=False,
trap_invalid=False, invalid=False,
trap_erange=False, erange=False,
trap_divzero=False, divzero=False,
trap_expbound=False,
allow_complex=False,
allow_release_gil=False)
>>> gmpy2.sqrt(5)
mpfr('2.2360679774997898')
>>> gmpy2.get_context().precision=100
>>> gmpy2.sqrt(5)
mpfr('2.2360679774997896964091736687316',100)
>>> gmpy2.get_context().precision+=20
>>> gmpy2.sqrt(5)
mpfr('2.2360679774997896964091736687312762351',120)
>>> ctx=gmpy2.get_context()
>>> ctx.precision+=20
>>> gmpy2.sqrt(5)
mpfr('2.2360679774997896964091736687312762354406182',140)
>>> gmpy2.set_context(gmpy2.context())
>>> gmpy2.sqrt(5)
mpfr('2.2360679774997898')
>>> ctx.precision+=20
>>> gmpy2.sqrt(5)
mpfr('2.2360679774997898')
>>> gmpy2.set_context(ctx)
>>> gmpy2.sqrt(5)
mpfr('2.2360679774997896964091736687312762354406183596116',160)
>>>
Context Attributes
precision
This attribute controls the precision of an mpfr result. The precision is specified in bits, not
decimal digits. The maximum precision that can be specified is platform dependent and can be
retrieved with get_max_precision().
NOTE:
Specifying a value for precision that is too close to the maximum precision will cause the MPFR
library to fail.
real_prec
This attribute controls the precision of the real part of an mpc result. If the value is Default,
then the value of the precision attribute is used.
imag_prec
This attribute controls the precision of the imaginary part of an mpc result. If the value is
Default, then the value of real_prec is used.
round There are five rounding modes available to mpfr types:
RoundAwayZero
The result is rounded away from 0.0.
RoundDown
The result is rounded towards -Infinity.
RoundToNearest
Round to the nearest value; ties are rounded to an even value.
RoundToZero
The result is rounded towards 0.0.
RoundUp
The result is rounded towards +Infinity.
real_round
This attribute controls the rounding mode for the real part of an mpc result. If the value is
Default, then the value of the round attribute is used. Note: RoundAwayZero is not a valid
rounding mode for mpc.
imag_round
This attribute controls the rounding mode for the imaginary part of an mpc result. If the value is
Default, then the value of the real_round attribute is used. Note: RoundAwayZero is not a valid
rounding mode for mpc.
emax This attribute controls the maximum allowed exponent of an mpfr result. The maximum exponent is
platform dependent and can be retrieved with get_emax_max().
emin This attribute controls the minimum allowed exponent of an mpfr result. The minimum exponent is
platform dependent and can be retrieved with get_emin_min().
NOTE:
It is possible to change the values of emin/emax such that previous mpfr values are no longer valid
numbers but should either underflow to +/-0.0 or overflow to +/-Infinity. To raise an exception if
this occurs, see trap_expbound.
subnormalize
The usual IEEE-754 floating point representation supports gradual underflow when the minimum
exponent is reached. The MFPR library does not enable gradual underflow by default but it can be
enabled to precisely mimic the results of IEEE-754 floating point operations.
trap_underflow
If set to False, a result that is smaller than the smallest possible mpfr given the current
exponent range will be replaced by +/-0.0. If set to True, an UnderflowResultError exception is
raised.
underflow
This flag is not user controllable. It is automatically set if a result underflowed to +/-0.0 and
trap_underflow is False.
trap_overflow
If set to False, a result that is larger than the largest possible mpfr given the current exponent
range will be replaced by +/-Infinity. If set to True, an OverflowResultError exception is raised.
overflow
This flag is not user controllable. It is automatically set if a result overflowed to +/-Infinity
and trap_overflow is False.
trap_inexact
This attribute controls whether or not an InexactResultError exception is raised if an inexact
result is returned. To check if the result is greater or less than the exact result, check the rc
attribute of the mpfr result.
inexact
This flag is not user controllable. It is automatically set if an inexact result is returned.
trap_invalid
This attribute controls whether or not an InvalidOperationError exception is raised if a numerical
result is not defined. A special NaN (Not-A-Number) value will be returned if an exception is not
raised. The InvalidOperationError is a sub-class of Python's ValueError.
For example, gmpy2.sqrt(-2) will normally return mpfr('nan'). However, if allow_complex is set to
True, then an mpc result will be returned.
invalid
This flag is not user controllable. It is automatically set if an invalid (Not-A-Number) result is
returned.
trap_erange
This attribute controls whether or not a RangeError exception is raised when certain operations
are performed on NaN and/or Infinity values. Setting trap_erange to True can be used to raise an
exception if comparisons are attempted with a NaN.
>>> gmpy2.set_context(gmpy2.context())
>>> mpfr('nan') == mpfr('nan')
False
>>> gmpy2.get_context().trap_erange=True
>>> mpfr('nan') == mpfr('nan')
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
gmpy2.RangeError: comparison with NaN
>>>
erange This flag is not user controllable. It is automatically set if an erange error occurred.
trap_divzero
This attribute controls whether or not a DivisionByZeroError exception is raised if division by 0
occurs. The DivisionByZeroError is a sub-class of Python's ZeroDivisionError.
divzero
This flag is not user controllable. It is automatically set if a division by zero occurred and NaN
result was returned.
trap_expbound
This attribute controls whether or not an ExponentOutOfBoundsError exception is raised if
exponents in an operand are outside the current emin/emax limits.
allow_complex
This attribute controls whether or not an mpc result can be returned if an mpfr result would
normally not be possible.
Context Methods
clear_flags()
Clear the underflow, overflow, inexact, invalid, erange, and divzero flags.
copy() Return a copy of the context.
Contexts and the with statement
Contexts can also be used in conjunction with Python's with ... statement to temporarily change the
context settings for a block of code and then restore the original settings when the block of code exits.
gmpy2.local_context() first save the current context and then creates a new context based on a context
passed as the first argument, or the current context if no context is passed. The new context is modified
if any optional keyword arguments are given. The original active context is restored when the block
completes.
In the following example, the current context is saved by gmpy2.local_context() and then the block begins
with a copy of the default context and the precision set to 100. When the block is finished, the original
context is restored.
>>> with gmpy2.local_context(gmpy2.context(), precision=100) as ctx:
... print(gmpy2.sqrt(2))
... ctx.precision += 100
... print(gmpy2.sqrt(2))
...
1.4142135623730950488016887242092
1.4142135623730950488016887242096980785696718753769480731766796
>>>
A context object can also be used directly to create a context manager block. However, instead of
restoring the context to the active context when the with ... statement is executed, the restored context
is the context used before any keyword argument modifications.
The code:
:: with gmpy2.ieee(64) as ctx:
is equivalent to:
:: gmpy2.set_context(gmpy2.ieee(64)) with gmpy2.local_context() as ctx:
Contexts that implement the standard single, double, and quadruple precision floating point types can be
created using ieee().
mpfr Methods
as_integer_ratio()
Returns a 2-tuple containing the numerator and denominator after converting the mpfr object into
the exact rational equivalent. The return 2-tuple is equivalent to Python's as_integer_ratio()
method of built-in float objects.
as_mantissa_exp()
Returns a 2-tuple containing the mantissa and exponent.
as_simple_fraction()
Returns an mpq containing the simplest rational value that approximates the mpfr value with an
error less than 1/(2**precision).
conjugate()
Returns the complex conjugate. For mpfr objects, returns a copy of the original object.
digits()
Returns a 3-tuple containing the mantissa, the exponent, and the number of bits of precision. The
mantissa is represented as a string in the specified base with up to 'prec' digits. If 'prec' is
0, as many digits that are available are returned. No more digits than available given x's
precision are returned. 'base' must be between 2 and 62, inclusive.
is_integer()
Returns True if the mpfr object is an integer.
mpfr Attributes
imag Returns the imaginary component. For mpfr objects, returns 0.
precision
Returns the precision of the mpfr object.
rc The result code (also known as ternary value in the MPFR documentation) is 0 if the value of the
mpfr object is exactly equal to the exact, infinite precision value. If the result code is 1, then
the value of the mpfr object is greater than the exact value. If the result code is -1, then the
value of the mpfr object is less than the exact, infinite precision value.
real Returns the real component. For mpfr objects, returns a copy of the original object.
mpfr Functions
acos(...)
acos(x) returns the arc-cosine of x. x is measured in radians. If context.allow_complex is True,
then an mpc result will be returned for abs(x) > 1.
acosh(...)
acosh(x) returns the inverse hyperbolic cosine of x.
add(...)
add(x, y) returns x + y. The type of the result is based on the types of the arguments.
agm(...)
agm(x, y) returns the arithmetic-geometric mean of x and y.
ai(...)
ai(x) returns the Airy function of x.
asin(...)
asin(x) returns the arc-sine of x. x is measured in radians. If context.allow_complex is True,
then an mpc result will be returned for abs(x) > 1.
asinh(...)
asinh(x) return the inverse hyperbolic sine of x.
atan(...)
atan(x) returns the arc-tangent of x. x is measured in radians.
atan2(...)
atan2(y, x) returns the arc-tangent of (y/x).
atanh(...)
atanh(x) returns the inverse hyperbolic tangent of x. If context.allow_complex is True, then an
mpc result will be returned for abs(x) > 1.
cbrt(...)
cbrt(x) returns the cube root of x.
ceil(...)
ceil(x) returns the 'mpfr' that is the smallest integer >= x.
check_range(...)
check_range(x) return a new 'mpfr' with exponent that lies within the current range of emin and
emax.
const_catalan(...)
const_catalan([precision=0]) returns the Catalan's constant using the specified precision. If no
precision is specified, the default precision is used.
const_euler(...)
const_euler([precision=0]) returns the Euler's constant using the specified precision. If no
precision is specified, the default precision is used.
const_log2(...)
const_log2([precision=0]) returns the log2 constant using the specified precision. If no precision
is specified, the default precision is used.
const_pi(...)
const_pi([precision=0]) returns the constant pi using the specified precision. If no precision is
specified, the default precision is used.
context(...)
context() returns a new context manager controlling MPFR and MPC arithmetic.
cos(...)
cos(x) returns the cosine of x. x is measured in radians.
cosh(...)
cosh(x) returns the hyperbolic cosine of x.
cot(...)
cot(x) returns the cotangent of x. x is measured in radians.
coth(...)
coth(x) returns the hyperbolic cotangent of x.
csc(...)
csc(x) returns the cosecant of x. x is measured in radians.
csch(...)
csch(x) returns the hyperbolic cosecant of x.
degrees(...)
degrees(x) converts an angle measurement x from radians to degrees.
digamma(...)
digamma(x) returns the digamma of x.
div(...)
div(x, y) returns x / y. The type of the result is based on the types of the arguments.
div_2exp(...)
div_2exp(x, n) returns an 'mpfr' or 'mpc' divided by 2**n.
eint(...)
eint(x) returns the exponential integral of x.
erf(...)
erf(x) returns the error function of x.
erfc(...)
erfc(x) returns the complementary error function of x.
exp(...)
exp(x) returns e**x.
exp10(...)
exp10(x) returns 10**x.
exp2(...)
exp2(x) returns 2**x.
expm1(...)
expm1(x) returns e**x - 1. expm1() is more accurate than exp(x) - 1 when x is small.
f2q(...)
f2q(x[,err]) returns the simplest mpq approximating x to within relative error err. Default is the
precision of x. Uses Stern-Brocot tree to find the simplest approximation. An mpz is returned if
the denominator is 1. If err<0, error sought is 2.0 ** err.
factorial(...)
factorial(n) returns the floating-point approximation to the factorial of n.
See fac(n) to get the exact integer result.
floor(...)
floor(x) returns the 'mpfr' that is the smallest integer <= x.
fma(...)
fma(x, y, z) returns correctly rounded result of (x * y) + z.
fmma(...)
fmma(x, y, z, t) returns correctly rounded result of (x * y) + (z * t). Requires MPFR 4.
fmms(...)
fmms(x, y, z, t) returns correctly rounded result of (x * y) - (z * t). Requires MPFR 4.
fmod(...)
fmod(x, y) returns x - n*y where n is the integer quotient of x/y, rounded to 0.
fms(...)
fms(x, y, z) returns correctly rounded result of (x * y) - z.
frac(...)
frac(x) returns the fractional part of x.
frexp(...)
frexp(x) returns a tuple containing the exponent and mantissa of x.
fsum(...)
fsum(iterable) returns the accurate sum of the values in the iterable.
gamma(...)
gamma(x) returns the gamma of x.
get_exp(...)
get_exp(mpfr) returns the exponent of an mpfr. Returns 0 for NaN or Infinity and sets the erange
flag and will raise an exception if trap_erange is set.
hypot(...)
hypot(y, x) returns square root of (x**2 + y**2).
ieee(...)
ieee(bitwidth) returns a context with settings for 32-bit (aka single), 64-bit (aka double), or
128-bit (aka quadruple) precision floating point types.
inf(...)
inf(n) returns an mpfr initialized to Infinity with the same sign as n. If n is not given,
+Infinity is returned.
is_finite(...)
is_finite(x) returns True if x is an actual number (i.e. not NaN or Infinity).
is_inf(...)
is_inf(x) returns True if x is Infinity or -Infinity.
NOTE:
is_inf() is deprecated; please use if_infinite().
is_infinite(...)
is_infinite(x) returns True if x Infinity or -Infinity.
is_nan(...)
is_nan(x) returns True if x is NaN (Not-A-Number).
is_number(...)
is_number(x) returns True if x is an actual number (i.e. not NaN or Infinity).
NOTE:
is_number() is deprecated; please use is_finite().
is_regular(...)
is_regular(x) returns True if x is not zero, NaN, or Infinity.
is_signed(...)
is_signed(x) returns True if the sign bit of x is set.
is_unordered(...)
is_unordered(x,y) returns True if either x and/or y is NaN.
is_zero(...)
is_zero(x) returns True if x is zero.
j0(...)
j0(x) returns the Bessel function of the first kind of order 0 of x.
j1(...)
j1(x) returns the Bessel function of the first kind of order 1 of x.
jn(...)
jn(x,n) returns the Bessel function of the first kind of order n of x.
lgamma(...)
lgamma(x) returns a tuple containing the logarithm of the absolute value of gamma(x) and the sign
of gamma(x)
li2(...)
li2(x) returns the real part of dilogarithm of x.
lngamma(...)
lngamma(x) returns the logarithm of gamma(x).
log(...)
log(x) returns the natural logarithm of x.
log10(...)
log10(x) returns the base-10 logarithm of x.
log1p(...)
log1p(x) returns the natural logarithm of (1+x).
log2(...)
log2(x) returns the base-2 logarithm of x.
max2(...)
max2(x, y) returns the maximum of x and y. The result may be rounded to match the current context.
Use the builtin max() to get an exact copy of the largest object without any rounding.
min2(...)
min2(x, y) returns the minimum of x and y. The result may be rounded to match the current context.
Use the builtin min() to get an exact copy of the smallest object without any rounding.
modf(...)
modf(x) returns a tuple containing the integer and fractional portions of x.
mpfr(...)
mpfr() returns and mpfr object set to 0.0.
mpfr(n[, precision=0]) returns an mpfr object after converting a numeric value n. If no precision,
or a precision of 0, is specified; the precision is taken from the current context.
mpfr(s[, precision=0[, [base=0]]) returns an mpfr object after converting a string 's' made up of
digits in the given base, possibly with fractional part (with period as a separator) and/or
exponent (with exponent marker 'e' for base<=10, else '@'). If no precision, or a precision of 0,
is specified; the precision is taken from the current context. The base of the string
representation must be 0 or in the interval 2 ... 62. If the base is 0, the leading digits of the
string are used to identify the base: 0b implies base=2, 0x implies base=16, otherwise base=10 is
assumed.
mpfr_from_old_binary(...)
mpfr_from_old_binary(string) returns an mpfr from a GMPY 1.x binary mpf format. Please use
to_binary()/from_binary() to convert GMPY2 objects to or from a binary format.
mpfr_grandom(...)
mpfr_grandom(random_state) returns two random numbers with Gaussian distribution. The parameter
random_state must be created by random_state() first.
mpfr_random(...)
mpfr_random(random_state) returns a uniformly distributed number between [0,1]. The parameter
random_state must be created by random_state() first.
mul(...)
mul(x, y) returns x * y. The type of the result is based on the types of the arguments.
mul_2exp(...)
mul_2exp(x, n) returns 'mpfr' or 'mpc' multiplied by 2**n.
nan(...)
nan() returns an 'mpfr' initialized to NaN (Not-A-Number).
next_above(...)
next_above(x) returns the next 'mpfr' from x toward +Infinity.
next_below(...)
next_below(x) returns the next 'mpfr' from x toward -Infinity.
radians(...)
radians(x) converts an angle measurement x from degrees to radians.
rec_sqrt(...)
rec_sqrt(x) returns the reciprocal of the square root of x.
reldiff(...)
reldiff(x, y) returns the relative difference between x and y. Result is equal to abs(x-y)/x.
remainder(...)
remainder(x, y) returns x - n*y where n is the integer quotient of x/y, rounded to the nearest
integer and ties rounded to even.
remquo(...)
remquo(x, y) returns a tuple containing the remainder(x,y) and the low bits of the quotient.
rint(...)
rint(x) returns x rounded to the nearest integer using the current rounding mode.
rint_ceil(...)
rint_ceil(x) returns x rounded to the nearest integer by first rounding to the next higher or
equal integer and then, if needed, using the current rounding mode.
rint_floor(...)
rint_floor(x) returns x rounded to the nearest integer by first rounding to the next lower or
equal integer and then, if needed, using the current rounding mode.
rint_round(...)
rint_round(x) returns x rounded to the nearest integer by first rounding to the nearest integer
(ties away from 0) and then, if needed, using the current rounding mode.
rint_trunc(...)
rint_trunc(x) returns x rounded to the nearest integer by first rounding towards zero and then, if
needed, using the current rounding mode.
root(...)
root(x, n) returns n-th root of x. The result always an mpfr.
round2(...)
round2(x[, n]) returns x rounded to n bits. Uses default precision if n is not specified. See
round_away() to access the mpfr_round() function. Use the builtin round() to round x to n decimal
digits.
round_away(...)
round_away(x) returns an mpfr by rounding x the nearest integer, with ties rounded away from 0.
sec(...)
sec(x) returns the secant of x. x is measured in radians.
sech(...)
sech(x) returns the hyperbolic secant of x.
set_exp(...)
set_exp(x, n) sets the exponent of a given mpfr to n. If n is outside the range of valid
exponents, set_exp() will set the erange flag and either return the original value or raise an
exception if trap_erange is set.
set_sign(...)
set_sign(x, bool) returns a copy of x with it's sign bit set if bool evaluates to True.
sign(...)
sign(x) returns -1 if x < 0, 0 if x == 0, or +1 if x >0.
sin(...)
sin(x) returns the sine of x. x is measured in radians.
sin_cos(...)
sin_cos(x) returns a tuple containing the sine and cosine of x. x is measured in radians.
sinh(...)
sinh(x) returns the hyberbolic sine of x.
sinh_cosh(...)
sinh_cosh(x) returns a tuple containing the hyperbolic sine and cosine of x.
sqrt(...)
sqrt(x) returns the square root of x. If x is integer, rational, or real, then an mpfr will be
returned. If x is complex, then an mpc will be returned. If context.allow_complex is True,
negative values of x will return an mpc.
square(...)
square(x) returns x * x. The type of the result is based on the types of the arguments.
sub(...)
sub(x, y) returns x - y. The type of the result is based on the types of the arguments.
tan(...)
tan(x) returns the tangent of x. x is measured in radians.
tanh(...)
tanh(x) returns the hyperbolic tangent of x.
trunc(...)
trunc(x) returns an 'mpfr' that is x truncated towards 0. Same as x.floor() if x>=0 or x.ceil() if
x<0.
y0(...)
y0(x) returns the Bessel function of the second kind of order 0 of x.
y1(...)
y1(x) returns the Bessel function of the second kind of order 1 of x.
yn(...)
yn(x,n) returns the Bessel function of the second kind of order n of x.
zero(...)
zero(n) returns an mpfr initialized to 0.0 with the same sign as n. If n is not given, +0.0 is
returned.
zeta(...)
zeta(x) returns the Riemann zeta of x.
mpfr Formatting
The mpfr type supports the __format__() special method to allow custom output formatting.
__format__(...)
x.__format__(fmt) returns a Python string by formatting 'x' using the format string 'fmt'. A valid
format string consists of:
optional alignment code:
'<' -> left shifted in field
'>' -> right shifted in field
'^' -> centered in field
optional leading sign code
'+' -> always display leading sign
'-' -> only display minus for negative values
' ' -> minus for negative values, space for positive values
optional width.precision
optional rounding mode:
'U' -> round toward plus infinity
'D' -> round toward minus infinity
'Y' -> round away from zero
'Z' -> round toward zero
'N' -> round to nearest
optional conversion code:
'a','A' -> hex format
'b' -> binary format
'e','E' -> scientific format
'f','F' -> fixed point format
'g','G' -> fixed or scientific format
NOTE:
The formatting codes must be specified in the order shown above.
>>> import gmpy2
>>> from gmpy2 import mpfr
>>> a=mpfr("1.23456")
>>> "{0:15.3f}".format(a)
' 1.235'
>>> "{0:15.3Uf}".format(a)
' 1.235'
>>> "{0:15.3Df}".format(a)
' 1.234'
>>> "{0:.3Df}".format(a)
'1.234'
>>> "{0:+.3Df}".format(a)
'+1.234'
MULTIPLE-PRECISION COMPLEX
gmpy2 adds a multiple-precision complex type called mpc that is based on the MPC library. The context
manager settings for mpfr arithmetic are applied to mpc arithmetic by default. It is possible to specify
different precision and rounding modes for both the real and imaginary components of an mpc.
>>> import gmpy2
>>> from gmpy2 import mpc
>>> gmpy2.sqrt(mpc("1+2j"))
mpc('1.272019649514069+0.78615137775742328j')
>>> gmpy2.get_context(real_prec=100,imag_prec=200)
context(precision=53, real_prec=100, imag_prec=200,
round=RoundToNearest, real_round=Default, imag_round=Default,
emax=1073741823, emin=-1073741823,
subnormalize=False,
trap_underflow=False, underflow=False,
trap_overflow=False, overflow=False,
trap_inexact=False, inexact=True,
trap_invalid=False, invalid=False,
trap_erange=False, erange=False,
trap_divzero=False, divzero=False,
trap_expbound=False,
allow_complex=False)
>>> gmpy2.sqrt(mpc("1+2j"))
mpc('1.2720196495140689642524224617376+0.78615137775742328606955858584295892952312205783772323766490213j',(100,200))
Exceptions are normally raised in Python when the result of a real operation is not defined over the
reals; for example, sqrt(-4) will raise an exception. The default context in gmpy2 implements the same
behavior but by setting allow_complex to True, complex results will be returned.
>>> import gmpy2
>>> from gmpy2 import mpc
>>> gmpy2.sqrt(-4)
mpfr('nan')
>>> gmpy2.get_context(allow_complex=True)
context(precision=53, real_prec=Default, imag_prec=Default,
round=RoundToNearest, real_round=Default, imag_round=Default,
emax=1073741823, emin=-1073741823,
subnormalize=False,
trap_underflow=False, underflow=False,
trap_overflow=False, overflow=False,
trap_inexact=False, inexact=False,
trap_invalid=False, invalid=True,
trap_erange=False, erange=False,
trap_divzero=False, divzero=False,
trap_expbound=False,
allow_complex=True)
>>> gmpy2.sqrt(-4)
mpc('0.0+2.0j')
mpc Methods
conjugate()
Returns the complex conjugate.
digits()
Returns a two element tuple where each element represents the real and imaginary components as a
3-tuple containing the mantissa, the exponent, and the number of bits of precision. The mantissa
is represented as a string in the specified base with up to 'prec' digits. If 'prec' is 0, as many
digits that are available are returned. No more digits than available given x's precision are
returned. 'base' must be between 2 and 62, inclusive.
mpc Attributes
imag Returns the imaginary component.
precision
Returns a 2-tuple containing the precision of the real and imaginary components.
rc Returns a 2-tuple containing the ternary value of the real and imaginary components. The ternary
value is 0 if the value of the component is exactly equal to the exact, infinite precision value.
If the result code is 1, then the value of the component is greater than the exact value. If the
result code is -1, then the value of the component is less than the exact, infinite precision
value.
real Returns the real component.
mpc Functions
acos(...)
acos(x) returns the arc-cosine of x.
acosh(...)
acosh(x) returns the inverse hyperbolic cosine of x.
add(...)
add(x, y) returns x + y. The type of the result is based on the types of the arguments.
asin(...)
asin(x) returns the arc-sine of x.
asinh(...)
asinh(x) return the inverse hyperbolic sine of x.
atan(...)
atan(x) returns the arc-tangent of x.
atanh(...)
atanh(x) returns the inverse hyperbolic tangent of x.
cos(...)
cos(x) returns the cosine of x.
cosh(...)
cosh(x) returns the hyperbolic cosine of x.
div(...)
div(x, y) returns x / y. The type of the result is based on the types of the arguments.
div_2exp(...)
div_2exp(x, n) returns an 'mpfr' or 'mpc' divided by 2**n.
exp(...)
exp(x) returns e**x.
fma(...)
fma(x, y, z) returns correctly rounded result of (x * y) + z.
fms(...)
fms(x, y, z) returns correctly rounded result of (x * y) - z.
is_inf(...)
is_inf(x) returns True if either the real or imaginary component of x is Infinity or -Infinity.
is_nan(...)
is_nan(x) returns True if either the real or imaginary component of x is NaN (Not-A-Number).
is_zero(...)
is_zero(x) returns True if x is zero.
log(...)
log(x) returns the natural logarithm of x.
log10(...)
log10(x) returns the base-10 logarithm of x.
mpc(...)
mpc() returns an mpc object set to 0.0+0.0j.
mpc(c[, precision=0]) returns a new 'mpc' object from an existing complex number (either a Python
complex object or another 'mpc' object). If the precision is not specified, then the precision is
taken from the current context. The rounding mode is always taken from the current context.
mpc(r[, i=0[, precision=0]]) returns a new 'mpc' object by converting two non-complex numbers into
the real and imaginary components of an 'mpc' object. If the precision is not specified, then the
precision is taken from the current context. The rounding mode is always taken from the current
context.
mpc(s[, [precision=0[, base=10]]) returns a new 'mpc' object by converting a string s into a
complex number. If base is omitted, then a base-10 representation is assumed otherwise a base
between 2 and 36 can be specified. If the precision is not specified, then the precision is taken
from the current context. The rounding mode is always taken from the current context.
In addition to the standard Python string representation of a complex number: "1+2j", the string
representation used by the MPC library: "(1 2)" is also supported.
NOTE:
The precision can be specified either a single number that is used for both the real and
imaginary components, or as a 2-tuple that can specify different precisions for the real and
imaginary components.
mpc_random(...)
mpfc_random(random_state) returns a uniformly distributed number in the unit square [0,1]x[0,1].
The parameter random_state must be created by random_state() first.
mul(...)
mul(x, y) returns x * y. The type of the result is based on the types of the arguments.
mul_2exp(...)
mul_2exp(x, n) returns 'mpfr' or 'mpc' multiplied by 2**n.
norm(...)
norm(x) returns the norm of a complex x. The norm(x) is defined as x.real**2 + x.imag**2. abs(x)
is the square root of norm(x).
phase(...)
phase(x) returns the phase angle, also known as argument, of a complex x.
polar(...)
polar(x) returns the polar coordinate form of a complex x that is in rectangular form.
proj(...)
proj(x) returns the projection of a complex x on to the Riemann sphere.
rect(...)
rect(x) returns the polar coordinate form of a complex x that is in rectangular form.
root_of_unity(...)
root_of_unity(n, k) returns the n-th root of mpc(1) raised to the k-th power. Requires MPC 1.1.0
or greater.
sin(...)
sin(x) returns the sine of x.
sinh(...)
sinh(x) returns the hyberbolic sine of x.
sqrt(...)
sqrt(x) returns the square root of x. If x is integer, rational, or real, then an mpfr will be
returned. If x is complex, then an mpc will be returned. If context.allow_complex is True,
negative values of x will return an mpc.
square(...)
square(x) returns x * x. The type of the result is based on the types of the arguments.
sub(...)
sub(x, y) returns x - y. The type of the result is based on the types of the arguments.
tan(...)
tan(x) returns the tangent of x. x is measured in radians.
tanh(...)
tanh(x) returns the hyperbolic tangent of x.
mpc Formatting
The mpc type supports the __format__() special method to allow custom output formatting.
__format__(...)
x.__format__(fmt) returns a Python string by formatting 'x' using the format string 'fmt'. A valid
format string consists of:
optional alignment code:
'<' -> left shifted in field
'>' -> right shifted in field
'^' -> centered in field
optional leading sign code
'+' -> always display leading sign
'-' -> only display minus for negative values
' ' -> minus for negative values, space for positive values
optional width.real_precision.imag_precision
optional rounding mode:
'U' -> round toward plus infinity
'D' -> round toward minus infinity
'Z' -> round toward zero
'N' -> round to nearest
optional output style:
'P' -> Python style, 1+2j, (default)
'M' -> MPC style, (1 2)
optional conversion code:
'a','A' -> hex format
'b' -> binary format
'e','E' -> scientific format
'f','F' -> fixed point format
'g','G' -> fixed or scientific format
NOTE:
The formatting codes must be specified in the order shown above.
>>> import gmpy2
>>> from gmpy2 import mpc
>>> a=gmpy2.sqrt(mpc("1+2j"))
>>> a
mpc('1.272019649514069+0.78615137775742328j')
>>> "{0:.4.4Mf}".format(a)
'(1.2720 0.7862)'
>>> "{0:.4.4f}".format(a)
'1.2720+0.7862j'
>>> "{0:^20.4.4U}".format(a)
' 1.2721+0.7862j '
>>> "{0:^20.4.4D}".format(a)
' 1.2720+0.7861j '
CYTHON USAGE
The gmpy2 module provides a C-API that can be conveniently used from Cython. All types and functions are
declared in the header gmpy2.pxd that is installed automatically in your Python path together with the
library.
Initialization
In order to use the C-API you need to make one call to the function void import_gmpy2(void).
Types
The types mpz, mpq, mpfr and mpc are declared as extension types in gmpy2.pxd. They correspond
respectively to the C structures MPZ_Object, MPQ_Object, MPFR_Object and MPC_Object.
Fast type checking can be done with the following C functions
bint MPZ_Check(object)
equivalent to isinstance(obj, mpz)
bint MPQ_Check(object)
equivalent to isinstance(obj, mpq)
bint MPFR_Check(object)
equivalent to isinstance(obj, mpfr)
bint MPC_Check(object)
equivalent to isinstance(obj, mpc)
Object creation
To create a new gmpy2 types there are four basic functions
mpz GMPy_MPZ_New(void * ctx)
create a new mpz object from a given context ctx
mpq GMPy_MPQ_New(void * ctx)
create a new mpq object from a given context ctx
mpfr MPFR_New(void * ctx, mpfr_prec_t prec)
create a new mpfr object with given context ctx and precision prec
mpc MPC_New(void * ctx, mpfr_prec_t rprec, mpfr_prec_t iprec)
create a new mpc object with given context ctx, precisions rprec and iprec of respectively real
and imaginary parts
The context can be set to NULL and controls the default behavior (e.g. precision).
The gmpy2.pxd header also provides convenience macro to wrap a (copy of) a mpz_t, mpq_t, mpfr_t or a
mpc_t object into the corresponding gmpy2 type.
mpz GMPy_MPZ_From_mpz(mpz_srcptr z)
return a new mpz object with a given mpz_t value z
mpq GMPy_MPQ_From_mpq(mpq_srcptr q)
return a new mpq object from a given mpq_t value q
mpq GMPy_MPQ_From_mpz(mpz_srcptr num, mpz_srcptr den)
return a new mpq object with a given mpz_t numerator num and mpz_t denominator den
mpfr GMPy_MPFR_From_mpfr(mpfr_srcptr x)
return a new mpfr object with a given mpfr_t value x
mpc GMPy_MPC_From_mpc(mpc_srcptr c)
return a new mpc object with a given mpc_t value c
mpc GMPy_MPC_From_mpfr(mpfr_srcptr re, mpfr_srcptr im)
return a new mpc object with a given mpfr_t real part re and mpfr_t imaginary part im
Access to the underlying C type
Each of the gmpy2 objects has a field corresponding to the underlying C type. The following functions
give access to this field
mpz_t MPZ(mpz)
mpq_t MPQ(mpq)
mpfr_t MPFR(mpfr)
mpc_t MPC(mpc)
Compilation
The header gmpy2.pxd as well as the C header gmpy2.h from which it depends are installed in the Python
path. In order to make Cython and the C compiler aware of the existence of these files, the Python path
should be part of the include directories.
Recall that import_gmpy2() needs to be called before any other function of the C-API.
Here is a minimal example of a Cython file test_gmpy2.pyx
"A minimal cython file test_gmpy2.pyx"
from gmpy2 cimport *
cdef extern from "gmp.h":
void mpz_set_si(mpz_t, long)
import_gmpy2() # needed to initialize the C-API
cdef mpz z = GMPy_MPZ_New(NULL)
mpz_set_si(MPZ(z), -7)
print(z + 3)
The corresponding setup.py is given below.
"A minimal setup.py for compiling test_gmpy2.pyx"
from distutils.core import setup
from distutils.extension import Extension
from Cython.Build import cythonize
import sys
ext = Extension("test_gmpy2", ["test_gmpy2.pyx"], include_dirs=sys.path, libraries=['gmp', 'mpfr', 'mpc'])
setup(
name="cython_gmpy_test",
ext_modules=cythonize([ext], include_path=sys.path)
)
With these two files in the same repository, you should be able to compile your module using
$ python setup.py build_ext --inplace
For more about compilation and installation of cython files and extension modules, please refer to the
official documentation of Cython and distutils.
CONVERSION METHODS AND GMPY2'S NUMBERS
Conversion methods
A python object could interact with gmpy2 if it implements one of the following methods:
• __mpz__ : return an object of <type 'mpz'>.
• __mpq__ : return an object of <type 'mpq'>.
• __mpfr__ : return an object of <type 'mpfr'>.
• __mpc__ : return an object of <type 'mpc'>.
Implementing on of these methods allow gmpy2 to convert a python object into a gmpy2 type.
Example::
>>> from gmpy2 import mpz
>>> class CustInt:
... def __init__(self, x):
... self.x = x
... def __mpz__(self):
... return mpz(self.x)
...
>>> ci = CustInt(5)
>>> z = mpz(ci); z
mpz(5)
>>> type(z)
<type 'mpz'>
Arithmetic operations
gmpy2 allow arithmetic operations between gmpy2 numbers and objects with conversion methods.
Operation with object that implements floating conversion and exact conversion methods are not supported.
That means that only the following cases are supported:
• An integer type have to implement __mpz__
• A rational type have to implement __mpq__ and can implement __mpz__
• A real type have to implement __mpfr__
• A complex type have to implement __mpc__ and can implement __mpfr__
Examples:
>>> from gmpy2 import mpz, mpq, mpfr, mpc
>>> class Q:
... def __mpz__(self): return mpz(1)
... def __mpq__(self): return mpq(3,2)
>>> q = Q()
>>> mpz(2) + q
mpq(7,2)
>>> mpq(1,2) * q
mpq(3,4)
>>> mpfr(10) * q
mpfr('15.0')
CHANGES FOR GMPY2 RELEASES
Changes in gmpy2 2.1.0rc2
• Documentation updates.
• Improvements to build environment.
Changes in gmpy2 2.1.0rc1
•
Added support for embedded underscore characters in string
literals.
• Allow GIL release for mpz/xmpz/mpq types only.
Changes in gmpy2 2.1.0b6
•
Improve argument type processing by saving type information to
decrease the number of type check calls. Especially helpful for mpfr and mpc types. (Not
complete but common operations are done.)
• Resolve bug in mpfr to mpq conversion; issue #287.
•
Added limited support for releasing the GIL; disabled by default;
see context.allow_release_gil.
•
Refactored handling of inplace operations for mpz and xmpz types;
inplace operations on xmpz will only return an xmpz result.
•
Refactored handling of conversion to C integer types. Some
exception types changes to reflect Python types.
•
gcd() and lcm() now support more than two arguments to align with
the corresponding functions in the math module.
Changes in gmpy2 2.1.0b5
•
Avoid MPFR bug in mfr_fac_ui (gmpy2.factorial) on platforms where
long is 32-bits and argument is >= 44787929.
• Fixed testing bugs with Python 2.7.
• Fixed mpz(0) to C long or long long.
• Fixed incorrect results in f2q().
• Adjust test suite to reflect changes in output in MPFR 4.1.0.
Changes in gmpy2 2.1.0b4
• Fix comparisons with mpq and custom rational objects.
• Fixes for some uncommon integer conversions scenarios.
Changes in gmpy2 2.1.0b3
• Version bump only.
Changes in gmpy2 2.1.0b2
• Many bug fixes.
Changes in gmpy2 2.1.0b1
• Added cmp() and cmp_abs().
• Improved compatibility with _numbers_ protocol.
• Many bug fixes.
Changes in gmpy2 2.1.a05
• Fix qdiv() not returning mpz() when it should.
• Added root_of_unity().
Changes in gmpy2 2.1.0a4
• Fix issue 204; missing file for Cython.
•
Additional support for MPFR 4
• Add fmma() and fmms()
Changes in gmpy2 2.1.0a3
• Updates to setup.py.
•
Initial support for MPFR4
• Add nrandom()
• grandom() now calls nrandom twice; may return different values versus MPFR3
• Add rootn(); same as root() except different sign when taking even root of -0.0
Changes in gmpy2 2.1.0a2
• Revised build process.
• Removal of unused code/macros.
• Cleanup of Cython interface.
Changes in gmpy2 2.1.0a1
• Thread-safe contexts are now supported. Properly integrating thread-safe contexts required an extensive
rewrite of almost all internal functions.
• MPFR and MPC are now required. It is no longer possible to build a version of gmpy2 that only supports
the GMP library.
• The function inverse() now raises an exception if the inverse does not exist.
• Context methods have been added for MPFR/MPC related functions.
• A new context option (rational_division) has been added that changes the behavior of integer division
involving mpz instances to return a rational result instead of a floating point result.
• gmpy2 types are now registered in the numeric tower.
• In previous versions of gmpy2, gmpy2.mpz was a factory function that returned an mpz instance.
gmpy2.mpz is now an actual type. The same is true for the other gmpy2 types.
• If a Python object has an __mpz__ method, it will be called bye mpz() to allow an unrecognized type to
be converted to an mpz instance. The same is true for the other gmpy2 types.
• A new C-API and Cython interface has been added.
Changes in gmpy2 2.0.4
• Fix bit_scan0() for negative values.
• Changes to setup.py to allow static linking.
• Fix performance regression with mpmath and Python 3.
Changes in gmpy2 2.0.3
• Fix lucas2() and atanh(); they were returning incorrect values.
Changes in gmpy2 2.0.2
• Rebuild Windows binary installers due to MPIR 2.6.0 bug in next_prime().
• Another fix for is_extra_strong_lucas_prp().
Changes in gmpy2 2.0.1
• Updated setup.py to work in more situations.
• Corrected exception handling in basic operations with mpfr type.
• Correct InvalidOperation exception not raised in certain circumstances.
• invert() now raises an exception if the modular inverse does not exist.
• Fixed internal exception in is_bpsw_prp() and is_strong_bpsw_prp().
• Updated is_extra_strong_lucas_prp() to latest version.
Changes in gmpy2 2.0.0
• Fix segmentation fault in _mpmath_normalize (an undocumented helper function specifically for mpmath.)
• Improved setup.py See below for documentation on the changes.
• Fix issues when compiled without support for MPFR.
• Conversion of too large an mpz to float now raises OverflowError instead of returning inf.
• Renamed min2()/max2() to minnum()/maxnum()
• The build and install process (i.e. setup.py) has been completely rewritten. See the Installation
section for more information.
• get_context() no longer accepts keyword arguments.
Known issues in gmpy2 2.0.0
• The test suite is still incomplete.
Changes in gmpy2 2.0.0b4
• Added __ceil__, __floor__, __trunc__, and __round__ methods to mpz and mpq types.
• Added __complex__ to mpc type.
• round(mpfr) now correctly returns an mpz type.
• If no arguments are given to mpz, mpq, mpfr, mpc, and xmpz, return 0 of the appropriate type.
• Fix broken comparison between mpz and mpq when mpz is on the left.
• Added __sizeof__ to all types. Note: sys.getsizeof() calls __sizeof__ to get the memory size of a gmpy2
object. The returned value reflects the size of the allocated memory which may be larger than the
actual minimum memory required by the object.
Known issues in gmpy2 2.0.0b4
• The new test suite (test/runtest.py) is incomplete and some tests fail on Python 2.x due to formatting
issues.
Changes in gmpy2 2.0.0b3
• mp_version(), mpc_version(), and mpfr_version() now return normal strings on Python 2.x instead of
Unicode strings.
• Faster conversion of the standard library Fraction type to mpq.
• Improved conversion of the Decimal type to mpfr.
• Consistently return OverflowError when converting "inf".
• Fix mpz.__format__() when the format code includes "#".
• Add is_infinite() and deprecate is_inf().
• Add is_finite() and deprecate is_number().
• Fixed the various is_XXX() tests when used with mpc.
• Added caching for mpc objects.
• Faster code path for basic operation is both operands are mpfr or mpc.
• Fix mpfr + float segmentation fault.
Changes in gmpy2 2.0.0b2
• Allow xmpz slice assignment to increase length of xmpz instance by specifying a value for stop.
• Fixed reference counting bug in several is_xxx_prp() tests.
• Added iter_bits(), iter_clear(), iter_set() methods to xmpz.
• Added powmod() for easy access to three argument pow().
• Removed addmul() and submul() which were added in 2.0.0b1 since they are slower than just using Python
code.
• Bug fix in gcd_ext when both arguments are not mpz.
• Added ieee() to create contexts for 32, 64, or 128 bit floats.
• Bug fix in context() not setting emax/emin correctly if they had been changed earlier.
• Contexts can be directly used in with statement without requiring set_context()/local_context()
sequence.
• local_context() now accepts an optional context.
Changes in gmpy2 2.0.0b1 and earlier
• Renamed functions that manipulate individual bits to bit_XXX() to align with bit_length().
• Added caching for mpq.
• Added rootrem(), fib2(), lucas(), lucas2().
• Support changed hash function in Python 3.2.
• Added is_even(), is_odd().
• Add caching of the calculated hash value.
• Add xmpz (mutable mpz) type.
• Fix mpq formatting issue.
• Add read/write bit access using slices to xmpz.
• Add read-only bit access using slices to mpz.
• Add pack()/unpack() methods to split/join an integer into n-bit chunks.
• Add support for MPFR (casevh)
• Removed fcoform float conversion modifier.
• Add support for MPC.
• Added context manager.
• Allow building with just GMP/MPIR if MPFR not available.
• Allow building with GMP/MPIR and MPFR if MPC not available.
• Removed most instance methods in favor of gmpy2.function. The general guideline is that properties of
an instance can be done via instance methods but functions that return a new result are done using
gmpy2.function.
• Added __ceil__, __floor__, and __trunc__ methods since they are called by math.ceil(), math.floor(),
and math.trunc().
• Removed gmpy2.pow() to avoid conflicts.
• Removed gmpy2._copy and added xmpz.copy.
• Added support for __format__.
• Added as_integer_ratio, as_mantissa_exp, as_simple_fraction.
• Updated rich_compare.
• Require MPFR 3.1.0+ to get divby0 support.
• Added fsum(), degrees(), radians().
• Updated random number generation support.
• Changed license to LGPL 3+.
• Added lucasu, lucasu_mod, lucasv, and lucasv_mod. Based on code contributed by David Cleaver.
• Added probable-prime tests. Based on code contributed by David Cleaver.
• Added to_binary()/from_binary.
• Renamed numdigits() to num_digits().
• Added keyword precision to constants.
• Added addmul() and submul().
• Added __round__(), round2(), round_away() for mpfr.
• round() is no longer a module level function.
• Renamed module functions min()/max() to min2()/max2().
• No longer conflicts with builtin min() and max()
• Removed set_debug() and related functionality.
• genindex
• modindex
• search
AUTHOR
Case Van Horsen
COPYRIGHT
2022 - 2021, Case Van Horsen
2.1 1647546870 GMPY2(3)