mirror of
https://github.com/RustPython/RustPython.git
synced 2026-06-09 22:49:57 +09:00
479 lines
13 KiB
Rust
479 lines
13 KiB
Rust
/* Math builtin module
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*
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*
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*/
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use statrs::function::erf::{erf, erfc};
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use statrs::function::gamma::{gamma, ln_gamma};
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use num_bigint::BigInt;
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use num_traits::{One, Signed, Zero};
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use crate::function::{Args, OptionalArg};
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use crate::obj::objfloat::{self, IntoPyFloat, PyFloatRef};
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use crate::obj::objint::{self, PyInt, PyIntRef};
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use crate::obj::objtype;
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use crate::pyobject::{BorrowValue, Either, PyObjectRef, PyResult, TypeProtocol};
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use crate::vm::VirtualMachine;
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use rustpython_common::float_ops;
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#[cfg(not(target_arch = "wasm32"))]
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use libc::c_double;
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use std::cmp::Ordering;
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// Helper macro:
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macro_rules! make_math_func {
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( $fname:ident, $fun:ident ) => {
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fn $fname(value: IntoPyFloat) -> f64 {
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value.to_f64().$fun()
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}
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};
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}
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macro_rules! make_math_func_bool {
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( $fname:ident, $fun:ident ) => {
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fn $fname(value: IntoPyFloat) -> bool {
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value.to_f64().$fun()
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}
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};
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}
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// Number theory functions:
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make_math_func!(math_fabs, abs);
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make_math_func_bool!(math_isfinite, is_finite);
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make_math_func_bool!(math_isinf, is_infinite);
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make_math_func_bool!(math_isnan, is_nan);
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#[derive(FromArgs)]
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struct IsCloseArgs {
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#[pyarg(positional_only, optional = false)]
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a: IntoPyFloat,
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#[pyarg(positional_only, optional = false)]
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b: IntoPyFloat,
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#[pyarg(keyword_only, optional = true)]
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rel_tol: OptionalArg<IntoPyFloat>,
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#[pyarg(keyword_only, optional = true)]
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abs_tol: OptionalArg<IntoPyFloat>,
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}
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#[allow(clippy::float_cmp)]
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fn math_isclose(args: IsCloseArgs, vm: &VirtualMachine) -> PyResult<bool> {
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let a = args.a.to_f64();
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let b = args.b.to_f64();
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let rel_tol = match args.rel_tol {
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OptionalArg::Missing => 1e-09,
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OptionalArg::Present(ref value) => value.to_f64(),
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};
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let abs_tol = match args.abs_tol {
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OptionalArg::Missing => 0.0,
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OptionalArg::Present(ref value) => value.to_f64(),
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};
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if rel_tol < 0.0 || abs_tol < 0.0 {
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return Err(vm.new_value_error("tolerances must be non-negative".to_owned()));
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}
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if a == b {
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/* short circuit exact equality -- needed to catch two infinities of
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the same sign. And perhaps speeds things up a bit sometimes.
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*/
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return Ok(true);
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}
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/* This catches the case of two infinities of opposite sign, or
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one infinity and one finite number. Two infinities of opposite
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sign would otherwise have an infinite relative tolerance.
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Two infinities of the same sign are caught by the equality check
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above.
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*/
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if a.is_infinite() || b.is_infinite() {
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return Ok(false);
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}
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let diff = (b - a).abs();
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Ok((diff <= (rel_tol * b).abs()) || (diff <= (rel_tol * a).abs()) || (diff <= abs_tol))
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}
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fn math_copysign(a: IntoPyFloat, b: IntoPyFloat) -> f64 {
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let a = a.to_f64();
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let b = b.to_f64();
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if a.is_nan() || b.is_nan() {
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a
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} else {
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a.copysign(b)
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}
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}
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// Power and logarithmic functions:
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make_math_func!(math_exp, exp);
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make_math_func!(math_expm1, exp_m1);
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fn math_log(x: IntoPyFloat, base: OptionalArg<IntoPyFloat>) -> f64 {
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base.map_or_else(|| x.to_f64().ln(), |base| x.to_f64().log(base.to_f64()))
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}
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fn math_log1p(x: IntoPyFloat) -> f64 {
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(x.to_f64() + 1.0).ln()
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}
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make_math_func!(math_log2, log2);
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make_math_func!(math_log10, log10);
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fn math_pow(x: IntoPyFloat, y: IntoPyFloat) -> f64 {
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x.to_f64().powf(y.to_f64())
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}
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make_math_func!(math_sqrt, sqrt);
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// Trigonometric functions:
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make_math_func!(math_acos, acos);
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make_math_func!(math_asin, asin);
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make_math_func!(math_atan, atan);
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fn math_atan2(y: IntoPyFloat, x: IntoPyFloat) -> f64 {
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y.to_f64().atan2(x.to_f64())
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}
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make_math_func!(math_cos, cos);
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fn math_hypot(x: IntoPyFloat, y: IntoPyFloat) -> f64 {
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x.to_f64().hypot(y.to_f64())
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}
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make_math_func!(math_sin, sin);
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make_math_func!(math_tan, tan);
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fn math_degrees(x: IntoPyFloat) -> f64 {
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x.to_f64() * (180.0 / std::f64::consts::PI)
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}
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fn math_radians(x: IntoPyFloat) -> f64 {
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x.to_f64() * (std::f64::consts::PI / 180.0)
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}
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// Hyperbolic functions:
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make_math_func!(math_acosh, acosh);
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make_math_func!(math_asinh, asinh);
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make_math_func!(math_atanh, atanh);
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make_math_func!(math_cosh, cosh);
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make_math_func!(math_sinh, sinh);
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make_math_func!(math_tanh, tanh);
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// Special functions:
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fn math_erf(x: IntoPyFloat) -> f64 {
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let x = x.to_f64();
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if x.is_nan() {
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x
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} else {
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erf(x)
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}
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}
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fn math_erfc(x: IntoPyFloat) -> f64 {
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let x = x.to_f64();
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if x.is_nan() {
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x
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} else {
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erfc(x)
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}
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}
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fn math_gamma(x: IntoPyFloat) -> f64 {
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let x = x.to_f64();
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if x.is_finite() {
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gamma(x)
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} else if x.is_nan() || x.is_sign_positive() {
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x
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} else {
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std::f64::NAN
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}
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}
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fn math_lgamma(x: IntoPyFloat) -> f64 {
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let x = x.to_f64();
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if x.is_finite() {
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ln_gamma(x)
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} else if x.is_nan() {
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x
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} else {
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std::f64::INFINITY
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}
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}
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fn try_magic_method(func_name: &str, vm: &VirtualMachine, value: &PyObjectRef) -> PyResult {
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let method = vm.get_method_or_type_error(value.clone(), func_name, || {
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format!(
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"type '{}' doesn't define '{}' method",
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value.lease_class().name,
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func_name,
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)
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})?;
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vm.invoke(&method, vec![])
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}
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fn math_trunc(value: PyObjectRef, vm: &VirtualMachine) -> PyResult {
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try_magic_method("__trunc__", vm, &value)
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}
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/// Applies ceiling to a float, returning an Integral.
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///
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/// # Arguments
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///
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/// * `value` - Either a float or a python object which implements __ceil__
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/// * `vm` - Represents the python state.
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fn math_ceil(value: PyObjectRef, vm: &VirtualMachine) -> PyResult {
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if objtype::isinstance(&value, &vm.ctx.types.float_type) {
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let v = objfloat::get_value(&value);
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let v = objfloat::try_bigint(v.ceil(), vm)?;
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Ok(vm.ctx.new_int(v))
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} else {
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try_magic_method("__ceil__", vm, &value)
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}
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}
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/// Applies floor to a float, returning an Integral.
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///
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/// # Arguments
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///
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/// * `value` - Either a float or a python object which implements __ceil__
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/// * `vm` - Represents the python state.
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fn math_floor(value: PyObjectRef, vm: &VirtualMachine) -> PyResult {
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if objtype::isinstance(&value, &vm.ctx.types.float_type) {
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let v = objfloat::get_value(&value);
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let v = objfloat::try_bigint(v.floor(), vm)?;
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Ok(vm.ctx.new_int(v))
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} else {
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try_magic_method("__floor__", vm, &value)
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}
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}
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fn math_frexp(value: IntoPyFloat) -> (f64, i32) {
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let value = value.to_f64();
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if value.is_finite() {
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let (m, e) = float_ops::ufrexp(value);
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(m * value.signum(), e)
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} else {
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(value, 0)
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}
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}
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fn math_ldexp(
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value: Either<PyFloatRef, PyIntRef>,
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i: PyIntRef,
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vm: &VirtualMachine,
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) -> PyResult<f64> {
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let value = match value {
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Either::A(f) => f.to_f64(),
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Either::B(z) => objint::try_float(z.borrow_value(), vm)?,
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};
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Ok(value * (2_f64).powf(objint::try_float(i.borrow_value(), vm)?))
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}
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fn math_perf_arb_len_int_op<F>(args: Args<PyIntRef>, op: F, default: BigInt) -> BigInt
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where
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F: Fn(&BigInt, &PyInt) -> BigInt,
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{
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let argvec = args.into_vec();
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if argvec.is_empty() {
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return default;
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} else if argvec.len() == 1 {
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return op(argvec[0].borrow_value(), &argvec[0]);
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}
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let mut res = argvec[0].borrow_value().clone();
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for num in argvec[1..].iter() {
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res = op(&res, &num)
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}
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res
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}
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fn math_gcd(args: Args<PyIntRef>) -> BigInt {
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use num_integer::Integer;
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math_perf_arb_len_int_op(args, |x, y| x.gcd(y.borrow_value()), BigInt::zero())
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}
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fn math_lcm(args: Args<PyIntRef>) -> BigInt {
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use num_integer::Integer;
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math_perf_arb_len_int_op(args, |x, y| x.lcm(y.borrow_value()), BigInt::one())
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}
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fn math_factorial(value: PyIntRef, vm: &VirtualMachine) -> PyResult<BigInt> {
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let value = value.borrow_value();
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if value.is_negative() {
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return Err(vm.new_value_error("factorial() not defined for negative values".to_owned()));
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} else if *value <= BigInt::one() {
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return Ok(BigInt::from(1u64));
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}
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let ret: BigInt = num_iter::range_inclusive(BigInt::from(1u64), value.clone()).product();
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Ok(ret)
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}
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fn math_modf(x: IntoPyFloat) -> (f64, f64) {
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let x = x.to_f64();
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if !x.is_finite() {
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if x.is_infinite() {
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return (0.0_f64.copysign(x), x);
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} else if x.is_nan() {
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return (x, x);
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}
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}
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(x.fract(), x.trunc())
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}
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#[cfg(not(target_arch = "wasm32"))]
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fn math_nextafter(x: IntoPyFloat, y: IntoPyFloat) -> PyResult<f64> {
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extern "C" {
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fn nextafter(x: c_double, y: c_double) -> c_double;
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}
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let x = x.to_f64();
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let y = y.to_f64();
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Ok(unsafe { nextafter(x, y) })
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}
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#[cfg(target_arch = "wasm32")]
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fn math_nextafter(x: IntoPyFloat, y: IntoPyFloat, vm: &VirtualMachine) -> PyResult<f64> {
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Err(vm.new_not_implemented_error("not implemented for this platform".to_owned()))
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}
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fn fmod(x: f64, y: f64) -> f64 {
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if y.is_infinite() && x.is_finite() {
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return x;
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}
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x % y
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}
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fn math_fmod(x: IntoPyFloat, y: IntoPyFloat, vm: &VirtualMachine) -> PyResult<f64> {
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let x = x.to_f64();
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let y = y.to_f64();
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let r = fmod(x, y);
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if r.is_nan() && !x.is_nan() && !y.is_nan() {
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return Err(vm.new_value_error("math domain error".to_owned()));
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}
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Ok(r)
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}
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fn math_remainder(x: IntoPyFloat, y: IntoPyFloat, vm: &VirtualMachine) -> PyResult<f64> {
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let x = x.to_f64();
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let y = y.to_f64();
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if x.is_finite() && y.is_finite() {
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if y == 0.0 {
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return Ok(std::f64::NAN);
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}
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let absx = x.abs();
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let absy = y.abs();
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let modulus = absx % absy;
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let c = absy - modulus;
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let r = match modulus.partial_cmp(&c) {
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Some(Ordering::Less) => modulus,
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Some(Ordering::Greater) => -c,
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_ => modulus - 2.0 * fmod(0.5 * (absx - modulus), absy),
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};
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return Ok(1.0_f64.copysign(x) * r);
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}
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if x.is_nan() {
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return Ok(x);
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}
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if y.is_nan() {
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return Ok(y);
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}
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if x.is_infinite() {
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return Ok(std::f64::NAN);
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}
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if y.is_infinite() {
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return Err(vm.new_value_error("math domain error".to_owned()));
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}
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Ok(x)
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}
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pub fn make_module(vm: &VirtualMachine) -> PyObjectRef {
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let ctx = &vm.ctx;
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py_module!(vm, "math", {
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// Number theory functions:
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"fabs" => ctx.new_function(math_fabs),
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"isfinite" => ctx.new_function(math_isfinite),
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"isinf" => ctx.new_function(math_isinf),
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"isnan" => ctx.new_function(math_isnan),
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"isclose" => ctx.new_function(math_isclose),
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"copysign" => ctx.new_function(math_copysign),
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// Power and logarithmic functions:
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"exp" => ctx.new_function(math_exp),
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"expm1" => ctx.new_function(math_expm1),
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"log" => ctx.new_function(math_log),
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"log1p" => ctx.new_function(math_log1p),
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"log2" => ctx.new_function(math_log2),
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"log10" => ctx.new_function(math_log10),
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"pow" => ctx.new_function(math_pow),
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"sqrt" => ctx.new_function(math_sqrt),
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// Trigonometric functions:
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"acos" => ctx.new_function(math_acos),
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"asin" => ctx.new_function(math_asin),
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"atan" => ctx.new_function(math_atan),
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"atan2" => ctx.new_function(math_atan2),
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"cos" => ctx.new_function(math_cos),
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"hypot" => ctx.new_function(math_hypot),
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"sin" => ctx.new_function(math_sin),
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"tan" => ctx.new_function(math_tan),
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"degrees" => ctx.new_function(math_degrees),
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"radians" => ctx.new_function(math_radians),
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// Hyperbolic functions:
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"acosh" => ctx.new_function(math_acosh),
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"asinh" => ctx.new_function(math_asinh),
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"atanh" => ctx.new_function(math_atanh),
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"cosh" => ctx.new_function(math_cosh),
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"sinh" => ctx.new_function(math_sinh),
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"tanh" => ctx.new_function(math_tanh),
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// Special functions:
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"erf" => ctx.new_function(math_erf),
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"erfc" => ctx.new_function(math_erfc),
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"gamma" => ctx.new_function(math_gamma),
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"lgamma" => ctx.new_function(math_lgamma),
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"frexp" => ctx.new_function(math_frexp),
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"ldexp" => ctx.new_function(math_ldexp),
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"modf" => ctx.new_function(math_modf),
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"fmod" => ctx.new_function(math_fmod),
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"remainder" => ctx.new_function(math_remainder),
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// Rounding functions:
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"trunc" => ctx.new_function(math_trunc),
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"ceil" => ctx.new_function(math_ceil),
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"floor" => ctx.new_function(math_floor),
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// Gcd function
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"gcd" => ctx.new_function(math_gcd),
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"lcm" => ctx.new_function(math_lcm),
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// Factorial function
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"factorial" => ctx.new_function(math_factorial),
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"nextafter" => ctx.new_function(math_nextafter),
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// Constants:
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"pi" => ctx.new_float(std::f64::consts::PI), // 3.14159...
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"e" => ctx.new_float(std::f64::consts::E), // 2.71..
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"tau" => ctx.new_float(2.0 * std::f64::consts::PI),
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"inf" => ctx.new_float(std::f64::INFINITY),
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"nan" => ctx.new_float(std::f64::NAN)
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})
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}
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