mirror of
https://github.com/RustPython/RustPython.git
synced 2026-06-09 22:49:57 +09:00
1500 lines
46 KiB
Rust
1500 lines
46 KiB
Rust
pub(crate) use decl::make_module;
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#[pymodule(name = "itertools")]
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mod decl {
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use crossbeam_utils::atomic::AtomicCell;
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use num_bigint::BigInt;
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use num_traits::{One, Signed, ToPrimitive, Zero};
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use std::fmt;
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use crate::builtins::int::{self, PyInt, PyIntRef};
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use crate::builtins::pybool;
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use crate::builtins::pytype::PyTypeRef;
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use crate::builtins::tuple::PyTupleRef;
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use crate::common::lock::{PyMutex, PyRwLock, PyRwLockWriteGuard};
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use crate::common::rc::PyRc;
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use crate::function::{Args, FuncArgs, OptionalArg, OptionalOption};
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use crate::iterator::{call_next, get_all, get_iter, get_next_object};
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use crate::slots::PyIter;
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use crate::vm::VirtualMachine;
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use crate::{
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IdProtocol, IntoPyObject, PyCallable, PyObjectRef, PyRef, PyResult, PyValue, PyWeakRef,
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StaticType, TypeProtocol,
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};
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#[pyattr]
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#[pyclass(name = "chain")]
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#[derive(Debug)]
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struct PyItertoolsChain {
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iterables: Vec<PyObjectRef>,
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cur_idx: AtomicCell<usize>,
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cached_iter: PyRwLock<Option<PyObjectRef>>,
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}
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impl PyValue for PyItertoolsChain {
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fn class(_vm: &VirtualMachine) -> &PyTypeRef {
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Self::static_type()
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}
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}
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#[pyimpl(with(PyIter))]
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impl PyItertoolsChain {
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#[pyslot]
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fn tp_new(cls: PyTypeRef, args: FuncArgs, vm: &VirtualMachine) -> PyResult<PyRef<Self>> {
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PyItertoolsChain {
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iterables: args.args,
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cur_idx: AtomicCell::new(0),
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cached_iter: PyRwLock::new(None),
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}
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.into_ref_with_type(vm, cls)
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}
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#[pyclassmethod(name = "from_iterable")]
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fn from_iterable(
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cls: PyTypeRef,
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iterable: PyObjectRef,
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vm: &VirtualMachine,
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) -> PyResult<PyRef<Self>> {
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let it = get_iter(vm, iterable)?;
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let iterables = get_all(vm, &it)?;
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PyItertoolsChain {
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iterables,
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cur_idx: AtomicCell::new(0),
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cached_iter: PyRwLock::new(None),
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}
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.into_ref_with_type(vm, cls)
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}
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}
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impl PyIter for PyItertoolsChain {
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fn next(zelf: &PyRef<Self>, vm: &VirtualMachine) -> PyResult {
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loop {
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let pos = zelf.cur_idx.load();
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if pos >= zelf.iterables.len() {
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break;
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}
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let cur_iter = if zelf.cached_iter.read().is_none() {
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// We need to call "get_iter" outside of the lock.
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let iter = get_iter(vm, zelf.iterables[pos].clone())?;
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*zelf.cached_iter.write() = Some(iter.clone());
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iter
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} else if let Some(cached_iter) = (*zelf.cached_iter.read()).clone() {
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cached_iter
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} else {
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// Someone changed cached iter to None since we checked.
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continue;
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};
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// We need to call "call_next" outside of the lock.
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match call_next(vm, &cur_iter) {
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Ok(ok) => return Ok(ok),
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Err(err) => {
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if err.isinstance(&vm.ctx.exceptions.stop_iteration) {
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zelf.cur_idx.fetch_add(1);
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*zelf.cached_iter.write() = None;
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} else {
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return Err(err);
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}
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}
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}
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}
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Err(vm.new_stop_iteration())
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}
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}
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#[pyattr]
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#[pyclass(name = "compress")]
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#[derive(Debug)]
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struct PyItertoolsCompress {
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data: PyObjectRef,
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selector: PyObjectRef,
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}
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impl PyValue for PyItertoolsCompress {
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fn class(_vm: &VirtualMachine) -> &PyTypeRef {
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Self::static_type()
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}
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}
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#[pyimpl(with(PyIter))]
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impl PyItertoolsCompress {
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#[pyslot]
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fn tp_new(
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cls: PyTypeRef,
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data: PyObjectRef,
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selector: PyObjectRef,
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vm: &VirtualMachine,
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) -> PyResult<PyRef<Self>> {
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let data_iter = get_iter(vm, data)?;
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let selector_iter = get_iter(vm, selector)?;
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PyItertoolsCompress {
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data: data_iter,
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selector: selector_iter,
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}
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.into_ref_with_type(vm, cls)
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}
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}
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impl PyIter for PyItertoolsCompress {
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fn next(zelf: &PyRef<Self>, vm: &VirtualMachine) -> PyResult {
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loop {
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let sel_obj = call_next(vm, &zelf.selector)?;
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let verdict = pybool::boolval(vm, sel_obj.clone())?;
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let data_obj = call_next(vm, &zelf.data)?;
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if verdict {
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return Ok(data_obj);
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}
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}
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}
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}
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#[pyattr]
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#[pyclass(name = "count")]
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#[derive(Debug)]
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struct PyItertoolsCount {
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cur: PyRwLock<BigInt>,
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step: BigInt,
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}
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impl PyValue for PyItertoolsCount {
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fn class(_vm: &VirtualMachine) -> &PyTypeRef {
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Self::static_type()
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}
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}
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#[pyimpl(with(PyIter))]
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impl PyItertoolsCount {
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#[pyslot]
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fn tp_new(
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cls: PyTypeRef,
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start: OptionalArg<PyIntRef>,
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step: OptionalArg<PyIntRef>,
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vm: &VirtualMachine,
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) -> PyResult<PyRef<Self>> {
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let start = match start.into_option() {
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Some(int) => int.as_bigint().clone(),
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None => BigInt::zero(),
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};
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let step = match step.into_option() {
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Some(int) => int.as_bigint().clone(),
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None => BigInt::one(),
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};
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PyItertoolsCount {
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cur: PyRwLock::new(start),
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step,
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}
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.into_ref_with_type(vm, cls)
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}
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}
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impl PyIter for PyItertoolsCount {
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fn next(zelf: &PyRef<Self>, vm: &VirtualMachine) -> PyResult {
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let mut cur = zelf.cur.write();
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let result = cur.clone();
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*cur += &zelf.step;
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Ok(result.into_pyobject(vm))
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}
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}
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#[pyattr]
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#[pyclass(name = "cycle")]
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#[derive(Debug)]
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struct PyItertoolsCycle {
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iter: PyObjectRef,
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saved: PyRwLock<Vec<PyObjectRef>>,
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index: AtomicCell<usize>,
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}
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impl PyValue for PyItertoolsCycle {
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fn class(_vm: &VirtualMachine) -> &PyTypeRef {
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Self::static_type()
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}
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}
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#[pyimpl(with(PyIter))]
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impl PyItertoolsCycle {
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#[pyslot]
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fn tp_new(
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cls: PyTypeRef,
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iterable: PyObjectRef,
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vm: &VirtualMachine,
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) -> PyResult<PyRef<Self>> {
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let iter = get_iter(vm, iterable)?;
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PyItertoolsCycle {
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iter,
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saved: PyRwLock::new(Vec::new()),
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index: AtomicCell::new(0),
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}
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.into_ref_with_type(vm, cls)
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}
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}
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impl PyIter for PyItertoolsCycle {
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fn next(zelf: &PyRef<Self>, vm: &VirtualMachine) -> PyResult {
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let item = if let Some(item) = get_next_object(vm, &zelf.iter)? {
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zelf.saved.write().push(item.clone());
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item
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} else {
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let saved = zelf.saved.read();
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if saved.len() == 0 {
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return Err(vm.new_stop_iteration());
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}
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let last_index = zelf.index.fetch_add(1);
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if last_index >= saved.len() - 1 {
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zelf.index.store(0);
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}
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saved[last_index].clone()
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};
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Ok(item)
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}
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}
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#[pyattr]
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#[pyclass(name = "repeat")]
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#[derive(Debug)]
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struct PyItertoolsRepeat {
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object: PyObjectRef,
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times: Option<PyRwLock<BigInt>>,
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}
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impl PyValue for PyItertoolsRepeat {
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fn class(_vm: &VirtualMachine) -> &PyTypeRef {
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Self::static_type()
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}
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}
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#[pyimpl(with(PyIter))]
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impl PyItertoolsRepeat {
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#[pyslot]
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fn tp_new(
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cls: PyTypeRef,
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object: PyObjectRef,
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times: OptionalArg<PyIntRef>,
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vm: &VirtualMachine,
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) -> PyResult<PyRef<Self>> {
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let times = times
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.into_option()
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.map(|int| PyRwLock::new(int.as_bigint().clone()));
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PyItertoolsRepeat { object, times }.into_ref_with_type(vm, cls)
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}
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#[pymethod(name = "__length_hint__")]
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fn length_hint(&self, vm: &VirtualMachine) -> PyObjectRef {
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match self.times {
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Some(ref times) => vm.ctx.new_int(times.read().clone()),
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None => vm.ctx.new_int(0),
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}
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}
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}
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impl PyIter for PyItertoolsRepeat {
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fn next(zelf: &PyRef<Self>, vm: &VirtualMachine) -> PyResult {
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if let Some(ref times) = zelf.times {
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let mut times = times.write();
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if !times.is_positive() {
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return Err(vm.new_stop_iteration());
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}
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*times -= 1;
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}
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Ok(zelf.object.clone())
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}
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}
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#[pyattr]
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#[pyclass(name = "starmap")]
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#[derive(Debug)]
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struct PyItertoolsStarmap {
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function: PyObjectRef,
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iter: PyObjectRef,
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}
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impl PyValue for PyItertoolsStarmap {
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fn class(_vm: &VirtualMachine) -> &PyTypeRef {
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Self::static_type()
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}
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}
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#[pyimpl(with(PyIter))]
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impl PyItertoolsStarmap {
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#[pyslot]
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fn tp_new(
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cls: PyTypeRef,
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function: PyObjectRef,
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iterable: PyObjectRef,
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vm: &VirtualMachine,
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) -> PyResult<PyRef<Self>> {
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let iter = get_iter(vm, iterable)?;
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PyItertoolsStarmap { function, iter }.into_ref_with_type(vm, cls)
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}
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}
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impl PyIter for PyItertoolsStarmap {
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fn next(zelf: &PyRef<Self>, vm: &VirtualMachine) -> PyResult {
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let obj = call_next(vm, &zelf.iter)?;
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let function = &zelf.function;
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vm.invoke(function, vm.extract_elements(&obj)?)
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}
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}
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#[pyattr]
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#[pyclass(name = "takewhile")]
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#[derive(Debug)]
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struct PyItertoolsTakewhile {
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predicate: PyObjectRef,
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iterable: PyObjectRef,
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stop_flag: AtomicCell<bool>,
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}
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impl PyValue for PyItertoolsTakewhile {
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fn class(_vm: &VirtualMachine) -> &PyTypeRef {
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Self::static_type()
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}
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}
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#[pyimpl(with(PyIter))]
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impl PyItertoolsTakewhile {
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#[pyslot]
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fn tp_new(
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cls: PyTypeRef,
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predicate: PyObjectRef,
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iterable: PyObjectRef,
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vm: &VirtualMachine,
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) -> PyResult<PyRef<Self>> {
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let iter = get_iter(vm, iterable)?;
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PyItertoolsTakewhile {
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predicate,
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iterable: iter,
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stop_flag: AtomicCell::new(false),
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}
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.into_ref_with_type(vm, cls)
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}
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}
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impl PyIter for PyItertoolsTakewhile {
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fn next(zelf: &PyRef<Self>, vm: &VirtualMachine) -> PyResult {
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if zelf.stop_flag.load() {
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return Err(vm.new_stop_iteration());
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}
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// might be StopIteration or anything else, which is propagated upwards
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let obj = call_next(vm, &zelf.iterable)?;
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let predicate = &zelf.predicate;
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let verdict = vm.invoke(predicate, (obj.clone(),))?;
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let verdict = pybool::boolval(vm, verdict)?;
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if verdict {
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Ok(obj)
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} else {
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zelf.stop_flag.store(true);
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Err(vm.new_stop_iteration())
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}
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}
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}
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#[pyattr]
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#[pyclass(name = "dropwhile")]
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#[derive(Debug)]
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struct PyItertoolsDropwhile {
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predicate: PyCallable,
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iterable: PyObjectRef,
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start_flag: AtomicCell<bool>,
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}
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impl PyValue for PyItertoolsDropwhile {
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fn class(_vm: &VirtualMachine) -> &PyTypeRef {
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Self::static_type()
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}
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}
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#[pyimpl(with(PyIter))]
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impl PyItertoolsDropwhile {
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#[pyslot]
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fn tp_new(
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cls: PyTypeRef,
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predicate: PyCallable,
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iterable: PyObjectRef,
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vm: &VirtualMachine,
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) -> PyResult<PyRef<Self>> {
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let iter = get_iter(vm, iterable)?;
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PyItertoolsDropwhile {
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predicate,
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iterable: iter,
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start_flag: AtomicCell::new(false),
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}
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.into_ref_with_type(vm, cls)
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}
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}
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impl PyIter for PyItertoolsDropwhile {
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fn next(zelf: &PyRef<Self>, vm: &VirtualMachine) -> PyResult {
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let predicate = &zelf.predicate;
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let iterable = &zelf.iterable;
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if !zelf.start_flag.load() {
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loop {
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let obj = call_next(vm, iterable)?;
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let pred = predicate.clone();
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let pred_value = vm.invoke(&pred.into_object(), (obj.clone(),))?;
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if !pybool::boolval(vm, pred_value)? {
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zelf.start_flag.store(true);
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return Ok(obj);
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}
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}
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}
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call_next(vm, iterable)
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}
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}
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struct GroupByState {
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current_value: Option<PyObjectRef>,
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current_key: Option<PyObjectRef>,
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next_group: bool,
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grouper: Option<PyWeakRef<PyItertoolsGrouper>>,
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}
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impl fmt::Debug for GroupByState {
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fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
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f.debug_struct("GroupByState")
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.field("current_value", &self.current_value)
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.field("current_key", &self.current_key)
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.field("next_group", &self.next_group)
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.finish()
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}
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}
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impl GroupByState {
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fn is_current(&self, grouper: &PyItertoolsGrouperRef) -> bool {
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self.grouper
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.as_ref()
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.and_then(|g| g.upgrade())
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.map_or(false, |ref current_grouper| grouper.is(current_grouper))
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}
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}
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#[pyattr]
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#[pyclass(name = "groupby")]
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struct PyItertoolsGroupBy {
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iterable: PyObjectRef,
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key_func: Option<PyObjectRef>,
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state: PyMutex<GroupByState>,
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}
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impl PyValue for PyItertoolsGroupBy {
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fn class(_vm: &VirtualMachine) -> &PyTypeRef {
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Self::static_type()
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}
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}
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impl fmt::Debug for PyItertoolsGroupBy {
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fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
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f.debug_struct("PyItertoolsGroupBy")
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.field("iterable", &self.iterable)
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.field("key_func", &self.key_func)
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.field("state", &self.state.lock())
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.finish()
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}
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}
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#[derive(FromArgs)]
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struct GroupByArgs {
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iterable: PyObjectRef,
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#[pyarg(any, optional)]
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key: OptionalOption<PyObjectRef>,
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}
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#[pyimpl(with(PyIter))]
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impl PyItertoolsGroupBy {
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#[pyslot]
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fn tp_new(cls: PyTypeRef, args: GroupByArgs, vm: &VirtualMachine) -> PyResult<PyRef<Self>> {
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let iter = get_iter(vm, args.iterable)?;
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PyItertoolsGroupBy {
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iterable: iter,
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key_func: args.key.flatten(),
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state: PyMutex::new(GroupByState {
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current_key: None,
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current_value: None,
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next_group: false,
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grouper: None,
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}),
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}
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.into_ref_with_type(vm, cls)
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}
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pub(super) fn advance(&self, vm: &VirtualMachine) -> PyResult<(PyObjectRef, PyObjectRef)> {
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let new_value = call_next(vm, &self.iterable)?;
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let new_key = if let Some(ref kf) = self.key_func {
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vm.invoke(kf, vec![new_value.clone()])?
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} else {
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new_value.clone()
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};
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Ok((new_value, new_key))
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}
|
|
}
|
|
impl PyIter for PyItertoolsGroupBy {
|
|
fn next(zelf: &PyRef<Self>, vm: &VirtualMachine) -> PyResult {
|
|
let mut state = zelf.state.lock();
|
|
state.grouper = None;
|
|
|
|
if !state.next_group {
|
|
// FIXME: unnecessary clone. current_key always exist until assinging new
|
|
let current_key = state.current_key.clone();
|
|
drop(state);
|
|
|
|
let (value, key) = if let Some(old_key) = current_key {
|
|
loop {
|
|
let (value, new_key) = zelf.advance(vm)?;
|
|
if !vm.bool_eq(&new_key, &old_key)? {
|
|
break (value, new_key);
|
|
}
|
|
}
|
|
} else {
|
|
zelf.advance(vm)?
|
|
};
|
|
|
|
state = zelf.state.lock();
|
|
state.current_value = Some(value);
|
|
state.current_key = Some(key);
|
|
}
|
|
|
|
state.next_group = false;
|
|
|
|
let grouper = PyItertoolsGrouper {
|
|
groupby: zelf.clone(),
|
|
}
|
|
.into_ref(vm);
|
|
|
|
state.grouper = Some(PyRef::downgrade(&grouper));
|
|
Ok((state.current_key.as_ref().unwrap().clone(), grouper).into_pyobject(vm))
|
|
}
|
|
}
|
|
|
|
#[pyattr]
|
|
#[pyclass(name = "_grouper")]
|
|
#[derive(Debug)]
|
|
struct PyItertoolsGrouper {
|
|
groupby: PyRef<PyItertoolsGroupBy>,
|
|
}
|
|
|
|
type PyItertoolsGrouperRef = PyRef<PyItertoolsGrouper>;
|
|
|
|
impl PyValue for PyItertoolsGrouper {
|
|
fn class(_vm: &VirtualMachine) -> &PyTypeRef {
|
|
Self::static_type()
|
|
}
|
|
}
|
|
|
|
#[pyimpl(with(PyIter))]
|
|
impl PyItertoolsGrouper {}
|
|
impl PyIter for PyItertoolsGrouper {
|
|
fn next(zelf: &PyRef<Self>, vm: &VirtualMachine) -> PyResult {
|
|
let old_key = {
|
|
let mut state = zelf.groupby.state.lock();
|
|
|
|
if !state.is_current(&zelf) {
|
|
return Err(vm.new_stop_iteration());
|
|
}
|
|
|
|
// check to see if the value has already been retrieved from the iterator
|
|
if let Some(val) = state.current_value.take() {
|
|
return Ok(val);
|
|
}
|
|
|
|
state.current_key.as_ref().unwrap().clone()
|
|
};
|
|
let (value, key) = zelf.groupby.advance(vm)?;
|
|
if vm.bool_eq(&key, &old_key)? {
|
|
Ok(value)
|
|
} else {
|
|
let mut state = zelf.groupby.state.lock();
|
|
state.current_value = Some(value);
|
|
state.current_key = Some(key);
|
|
state.next_group = true;
|
|
state.grouper = None;
|
|
Err(vm.new_stop_iteration())
|
|
}
|
|
}
|
|
}
|
|
|
|
#[pyattr]
|
|
#[pyclass(name = "islice")]
|
|
#[derive(Debug)]
|
|
struct PyItertoolsIslice {
|
|
iterable: PyObjectRef,
|
|
cur: AtomicCell<usize>,
|
|
next: AtomicCell<usize>,
|
|
stop: Option<usize>,
|
|
step: usize,
|
|
}
|
|
|
|
impl PyValue for PyItertoolsIslice {
|
|
fn class(_vm: &VirtualMachine) -> &PyTypeRef {
|
|
Self::static_type()
|
|
}
|
|
}
|
|
|
|
fn pyobject_to_opt_usize(obj: PyObjectRef, vm: &VirtualMachine) -> Option<usize> {
|
|
let is_int = obj.isinstance(&vm.ctx.types.int_type);
|
|
if is_int {
|
|
int::get_value(&obj).to_usize()
|
|
} else {
|
|
None
|
|
}
|
|
}
|
|
|
|
#[pyimpl(with(PyIter))]
|
|
impl PyItertoolsIslice {
|
|
#[pyslot]
|
|
fn tp_new(cls: PyTypeRef, args: FuncArgs, vm: &VirtualMachine) -> PyResult<PyRef<Self>> {
|
|
let (iter, start, stop, step) = match args.args.len() {
|
|
0 | 1 => {
|
|
return Err(vm.new_type_error(format!(
|
|
"islice expected at least 2 arguments, got {}",
|
|
args.args.len()
|
|
)));
|
|
}
|
|
|
|
2 => {
|
|
let (iter, stop): (PyObjectRef, PyObjectRef) = args.bind(vm)?;
|
|
|
|
(iter, 0usize, stop, 1usize)
|
|
}
|
|
_ => {
|
|
let (iter, start, stop, step): (
|
|
PyObjectRef,
|
|
PyObjectRef,
|
|
PyObjectRef,
|
|
PyObjectRef,
|
|
) = args.bind(vm)?;
|
|
|
|
let start = if !vm.is_none(&start) {
|
|
pyobject_to_opt_usize(start, &vm).ok_or_else(|| {
|
|
vm.new_value_error(
|
|
"Indices for islice() must be None or an integer: 0 <= x <= sys.maxsize.".to_owned(),
|
|
)
|
|
})?
|
|
} else {
|
|
0usize
|
|
};
|
|
|
|
let step = if !vm.is_none(&step) {
|
|
pyobject_to_opt_usize(step, &vm).ok_or_else(|| {
|
|
vm.new_value_error(
|
|
"Step for islice() must be a positive integer or None.".to_owned(),
|
|
)
|
|
})?
|
|
} else {
|
|
1usize
|
|
};
|
|
|
|
(iter, start, stop, step)
|
|
}
|
|
};
|
|
|
|
let stop = if !vm.is_none(&stop) {
|
|
Some(pyobject_to_opt_usize(stop, &vm).ok_or_else(|| {
|
|
vm.new_value_error(
|
|
"Stop argument for islice() must be None or an integer: 0 <= x <= sys.maxsize."
|
|
.to_owned(),
|
|
)
|
|
})?)
|
|
} else {
|
|
None
|
|
};
|
|
|
|
let iter = get_iter(vm, iter)?;
|
|
|
|
PyItertoolsIslice {
|
|
iterable: iter,
|
|
cur: AtomicCell::new(0),
|
|
next: AtomicCell::new(start),
|
|
stop,
|
|
step,
|
|
}
|
|
.into_ref_with_type(vm, cls)
|
|
}
|
|
}
|
|
impl PyIter for PyItertoolsIslice {
|
|
fn next(zelf: &PyRef<Self>, vm: &VirtualMachine) -> PyResult {
|
|
while zelf.cur.load() < zelf.next.load() {
|
|
call_next(vm, &zelf.iterable)?;
|
|
zelf.cur.fetch_add(1);
|
|
}
|
|
|
|
if let Some(stop) = zelf.stop {
|
|
if zelf.cur.load() >= stop {
|
|
return Err(vm.new_stop_iteration());
|
|
}
|
|
}
|
|
|
|
let obj = call_next(vm, &zelf.iterable)?;
|
|
zelf.cur.fetch_add(1);
|
|
|
|
// TODO is this overflow check required? attempts to copy CPython.
|
|
let (next, ovf) = zelf.next.load().overflowing_add(zelf.step);
|
|
zelf.next.store(if ovf { zelf.stop.unwrap() } else { next });
|
|
|
|
Ok(obj)
|
|
}
|
|
}
|
|
|
|
#[pyattr]
|
|
#[pyclass(name = "filterfalse")]
|
|
#[derive(Debug)]
|
|
struct PyItertoolsFilterFalse {
|
|
predicate: PyObjectRef,
|
|
iterable: PyObjectRef,
|
|
}
|
|
|
|
impl PyValue for PyItertoolsFilterFalse {
|
|
fn class(_vm: &VirtualMachine) -> &PyTypeRef {
|
|
Self::static_type()
|
|
}
|
|
}
|
|
|
|
#[pyimpl(with(PyIter))]
|
|
impl PyItertoolsFilterFalse {
|
|
#[pyslot]
|
|
fn tp_new(
|
|
cls: PyTypeRef,
|
|
predicate: PyObjectRef,
|
|
iterable: PyObjectRef,
|
|
vm: &VirtualMachine,
|
|
) -> PyResult<PyRef<Self>> {
|
|
let iter = get_iter(vm, iterable)?;
|
|
|
|
PyItertoolsFilterFalse {
|
|
predicate,
|
|
iterable: iter,
|
|
}
|
|
.into_ref_with_type(vm, cls)
|
|
}
|
|
}
|
|
impl PyIter for PyItertoolsFilterFalse {
|
|
fn next(zelf: &PyRef<Self>, vm: &VirtualMachine) -> PyResult {
|
|
let predicate = &zelf.predicate;
|
|
let iterable = &zelf.iterable;
|
|
|
|
loop {
|
|
let obj = call_next(vm, iterable)?;
|
|
let pred_value = if vm.is_none(predicate) {
|
|
obj.clone()
|
|
} else {
|
|
vm.invoke(predicate, vec![obj.clone()])?
|
|
};
|
|
|
|
if !pybool::boolval(vm, pred_value)? {
|
|
return Ok(obj);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
#[pyattr]
|
|
#[pyclass(name = "accumulate")]
|
|
#[derive(Debug)]
|
|
struct PyItertoolsAccumulate {
|
|
iterable: PyObjectRef,
|
|
binop: Option<PyObjectRef>,
|
|
initial: Option<PyObjectRef>,
|
|
acc_value: PyRwLock<Option<PyObjectRef>>,
|
|
}
|
|
|
|
#[derive(FromArgs)]
|
|
struct AccumulateArgs {
|
|
iterable: PyObjectRef,
|
|
#[pyarg(any, optional)]
|
|
func: OptionalOption<PyObjectRef>,
|
|
#[pyarg(named, optional)]
|
|
initial: OptionalOption<PyObjectRef>,
|
|
}
|
|
|
|
impl PyValue for PyItertoolsAccumulate {
|
|
fn class(_vm: &VirtualMachine) -> &PyTypeRef {
|
|
Self::static_type()
|
|
}
|
|
}
|
|
|
|
#[pyimpl(with(PyIter))]
|
|
impl PyItertoolsAccumulate {
|
|
#[pyslot]
|
|
fn tp_new(
|
|
cls: PyTypeRef,
|
|
args: AccumulateArgs,
|
|
vm: &VirtualMachine,
|
|
) -> PyResult<PyRef<Self>> {
|
|
let iter = get_iter(vm, args.iterable)?;
|
|
|
|
PyItertoolsAccumulate {
|
|
iterable: iter,
|
|
binop: args.func.flatten(),
|
|
initial: args.initial.flatten(),
|
|
acc_value: PyRwLock::new(None),
|
|
}
|
|
.into_ref_with_type(vm, cls)
|
|
}
|
|
}
|
|
impl PyIter for PyItertoolsAccumulate {
|
|
fn next(zelf: &PyRef<Self>, vm: &VirtualMachine) -> PyResult {
|
|
let iterable = &zelf.iterable;
|
|
|
|
let acc_value = zelf.acc_value.read().clone();
|
|
|
|
let next_acc_value = match acc_value {
|
|
None => match &zelf.initial {
|
|
None => call_next(vm, iterable)?,
|
|
Some(obj) => obj.clone(),
|
|
},
|
|
Some(value) => {
|
|
let obj = call_next(vm, iterable)?;
|
|
match &zelf.binop {
|
|
None => vm._add(&value, &obj)?,
|
|
Some(op) => vm.invoke(op, vec![value, obj])?,
|
|
}
|
|
}
|
|
};
|
|
*zelf.acc_value.write() = Some(next_acc_value.clone());
|
|
|
|
Ok(next_acc_value)
|
|
}
|
|
}
|
|
|
|
#[derive(Debug)]
|
|
struct PyItertoolsTeeData {
|
|
iterable: PyObjectRef,
|
|
values: PyRwLock<Vec<PyObjectRef>>,
|
|
}
|
|
|
|
impl PyItertoolsTeeData {
|
|
fn new(iterable: PyObjectRef, vm: &VirtualMachine) -> PyResult<PyRc<PyItertoolsTeeData>> {
|
|
Ok(PyRc::new(PyItertoolsTeeData {
|
|
iterable: get_iter(vm, iterable)?,
|
|
values: PyRwLock::new(vec![]),
|
|
}))
|
|
}
|
|
|
|
fn get_item(&self, vm: &VirtualMachine, index: usize) -> PyResult {
|
|
if self.values.read().len() == index {
|
|
let result = call_next(vm, &self.iterable)?;
|
|
self.values.write().push(result);
|
|
}
|
|
Ok(self.values.read()[index].clone())
|
|
}
|
|
}
|
|
|
|
#[pyattr]
|
|
#[pyclass(name = "tee")]
|
|
#[derive(Debug)]
|
|
struct PyItertoolsTee {
|
|
tee_data: PyRc<PyItertoolsTeeData>,
|
|
index: AtomicCell<usize>,
|
|
}
|
|
|
|
impl PyValue for PyItertoolsTee {
|
|
fn class(_vm: &VirtualMachine) -> &PyTypeRef {
|
|
Self::static_type()
|
|
}
|
|
}
|
|
|
|
#[pyimpl(with(PyIter))]
|
|
impl PyItertoolsTee {
|
|
fn from_iter(iterable: PyObjectRef, vm: &VirtualMachine) -> PyResult {
|
|
let class = PyItertoolsTee::class(vm);
|
|
let it = get_iter(vm, iterable)?;
|
|
if it.class().is(PyItertoolsTee::class(vm)) {
|
|
return vm.call_method(&it, "__copy__", ());
|
|
}
|
|
Ok(PyItertoolsTee {
|
|
tee_data: PyItertoolsTeeData::new(it, vm)?,
|
|
index: AtomicCell::new(0),
|
|
}
|
|
.into_ref_with_type(vm, class.clone())?
|
|
.into_object())
|
|
}
|
|
|
|
// TODO: make tee() a function, rename this class to itertools._tee and make
|
|
// teedata a python class
|
|
#[pyslot]
|
|
#[allow(clippy::new_ret_no_self)]
|
|
fn tp_new(
|
|
_cls: PyTypeRef,
|
|
iterable: PyObjectRef,
|
|
n: OptionalArg<usize>,
|
|
vm: &VirtualMachine,
|
|
) -> PyResult<PyTupleRef> {
|
|
let n = n.unwrap_or(2);
|
|
|
|
let copyable = if iterable.class().has_attr("__copy__") {
|
|
vm.call_method(&iterable, "__copy__", ())?
|
|
} else {
|
|
PyItertoolsTee::from_iter(iterable, vm)?
|
|
};
|
|
|
|
let mut tee_vec: Vec<PyObjectRef> = Vec::with_capacity(n);
|
|
for _ in 0..n {
|
|
tee_vec.push(vm.call_method(©able, "__copy__", ())?);
|
|
}
|
|
|
|
Ok(PyTupleRef::with_elements(tee_vec, &vm.ctx))
|
|
}
|
|
|
|
#[pymethod(name = "__copy__")]
|
|
fn copy(&self, vm: &VirtualMachine) -> PyResult {
|
|
Ok(PyItertoolsTee {
|
|
tee_data: PyRc::clone(&self.tee_data),
|
|
index: AtomicCell::new(self.index.load()),
|
|
}
|
|
.into_ref_with_type(vm, Self::class(vm).clone())?
|
|
.into_object())
|
|
}
|
|
}
|
|
impl PyIter for PyItertoolsTee {
|
|
fn next(zelf: &PyRef<Self>, vm: &VirtualMachine) -> PyResult {
|
|
let value = zelf.tee_data.get_item(vm, zelf.index.load())?;
|
|
zelf.index.fetch_add(1);
|
|
Ok(value)
|
|
}
|
|
}
|
|
|
|
#[pyattr]
|
|
#[pyclass(name = "product")]
|
|
#[derive(Debug)]
|
|
struct PyItertoolsProduct {
|
|
pools: Vec<Vec<PyObjectRef>>,
|
|
idxs: PyRwLock<Vec<usize>>,
|
|
cur: AtomicCell<usize>,
|
|
stop: AtomicCell<bool>,
|
|
}
|
|
|
|
impl PyValue for PyItertoolsProduct {
|
|
fn class(_vm: &VirtualMachine) -> &PyTypeRef {
|
|
Self::static_type()
|
|
}
|
|
}
|
|
|
|
#[derive(FromArgs)]
|
|
struct ProductArgs {
|
|
#[pyarg(named, optional)]
|
|
repeat: OptionalArg<usize>,
|
|
}
|
|
|
|
#[pyimpl(with(PyIter))]
|
|
impl PyItertoolsProduct {
|
|
#[pyslot]
|
|
fn tp_new(
|
|
cls: PyTypeRef,
|
|
iterables: Args<PyObjectRef>,
|
|
args: ProductArgs,
|
|
vm: &VirtualMachine,
|
|
) -> PyResult<PyRef<Self>> {
|
|
let repeat = args.repeat.unwrap_or(1);
|
|
|
|
let mut pools = Vec::new();
|
|
for arg in iterables.into_iter() {
|
|
let it = get_iter(vm, arg)?;
|
|
let pool = get_all(vm, &it)?;
|
|
|
|
pools.push(pool);
|
|
}
|
|
let pools = std::iter::repeat(pools)
|
|
.take(repeat)
|
|
.flatten()
|
|
.collect::<Vec<Vec<PyObjectRef>>>();
|
|
|
|
let l = pools.len();
|
|
|
|
PyItertoolsProduct {
|
|
pools,
|
|
idxs: PyRwLock::new(vec![0; l]),
|
|
cur: AtomicCell::new(l.wrapping_sub(1)),
|
|
stop: AtomicCell::new(false),
|
|
}
|
|
.into_ref_with_type(vm, cls)
|
|
}
|
|
|
|
fn update_idxs(&self, mut idxs: PyRwLockWriteGuard<'_, Vec<usize>>) {
|
|
if idxs.len() == 0 {
|
|
self.stop.store(true);
|
|
return;
|
|
}
|
|
|
|
let cur = self.cur.load();
|
|
let lst_idx = &self.pools[cur].len() - 1;
|
|
|
|
if idxs[cur] == lst_idx {
|
|
if cur == 0 {
|
|
self.stop.store(true);
|
|
return;
|
|
}
|
|
idxs[cur] = 0;
|
|
self.cur.fetch_sub(1);
|
|
self.update_idxs(idxs);
|
|
} else {
|
|
idxs[cur] += 1;
|
|
self.cur.store(idxs.len() - 1);
|
|
}
|
|
}
|
|
}
|
|
impl PyIter for PyItertoolsProduct {
|
|
fn next(zelf: &PyRef<Self>, vm: &VirtualMachine) -> PyResult {
|
|
// stop signal
|
|
if zelf.stop.load() {
|
|
return Err(vm.new_stop_iteration());
|
|
}
|
|
|
|
let pools = &zelf.pools;
|
|
|
|
for p in pools {
|
|
if p.is_empty() {
|
|
return Err(vm.new_stop_iteration());
|
|
}
|
|
}
|
|
|
|
let idxs = zelf.idxs.write();
|
|
let res = vm.ctx.new_tuple(
|
|
pools
|
|
.iter()
|
|
.zip(idxs.iter())
|
|
.map(|(pool, idx)| pool[*idx].clone())
|
|
.collect(),
|
|
);
|
|
|
|
zelf.update_idxs(idxs);
|
|
|
|
Ok(res)
|
|
}
|
|
}
|
|
|
|
#[pyattr]
|
|
#[pyclass(name = "combinations")]
|
|
#[derive(Debug)]
|
|
struct PyItertoolsCombinations {
|
|
pool: Vec<PyObjectRef>,
|
|
indices: PyRwLock<Vec<usize>>,
|
|
r: AtomicCell<usize>,
|
|
exhausted: AtomicCell<bool>,
|
|
}
|
|
|
|
impl PyValue for PyItertoolsCombinations {
|
|
fn class(_vm: &VirtualMachine) -> &PyTypeRef {
|
|
Self::static_type()
|
|
}
|
|
}
|
|
|
|
#[pyimpl(with(PyIter))]
|
|
impl PyItertoolsCombinations {
|
|
#[pyslot]
|
|
fn tp_new(
|
|
cls: PyTypeRef,
|
|
iterable: PyObjectRef,
|
|
r: PyIntRef,
|
|
vm: &VirtualMachine,
|
|
) -> PyResult<PyRef<Self>> {
|
|
let iter = get_iter(vm, iterable)?;
|
|
let pool = get_all(vm, &iter)?;
|
|
|
|
let r = r.as_bigint();
|
|
if r.is_negative() {
|
|
return Err(vm.new_value_error("r must be non-negative".to_owned()));
|
|
}
|
|
let r = r.to_usize().unwrap();
|
|
|
|
let n = pool.len();
|
|
|
|
PyItertoolsCombinations {
|
|
pool,
|
|
indices: PyRwLock::new((0..r).collect()),
|
|
r: AtomicCell::new(r),
|
|
exhausted: AtomicCell::new(r > n),
|
|
}
|
|
.into_ref_with_type(vm, cls)
|
|
}
|
|
}
|
|
impl PyIter for PyItertoolsCombinations {
|
|
fn next(zelf: &PyRef<Self>, vm: &VirtualMachine) -> PyResult {
|
|
// stop signal
|
|
if zelf.exhausted.load() {
|
|
return Err(vm.new_stop_iteration());
|
|
}
|
|
|
|
let n = zelf.pool.len();
|
|
let r = zelf.r.load();
|
|
|
|
if r == 0 {
|
|
zelf.exhausted.store(true);
|
|
return Ok(vm.ctx.new_tuple(vec![]));
|
|
}
|
|
|
|
let res = vm.ctx.new_tuple(
|
|
zelf.indices
|
|
.read()
|
|
.iter()
|
|
.map(|&i| zelf.pool[i].clone())
|
|
.collect(),
|
|
);
|
|
|
|
let mut indices = zelf.indices.write();
|
|
|
|
// Scan indices right-to-left until finding one that is not at its maximum (i + n - r).
|
|
let mut idx = r as isize - 1;
|
|
while idx >= 0 && indices[idx as usize] == idx as usize + n - r {
|
|
idx -= 1;
|
|
}
|
|
|
|
// If no suitable index is found, then the indices are all at
|
|
// their maximum value and we're done.
|
|
if idx < 0 {
|
|
zelf.exhausted.store(true);
|
|
} else {
|
|
// Increment the current index which we know is not at its
|
|
// maximum. Then move back to the right setting each index
|
|
// to its lowest possible value (one higher than the index
|
|
// to its left -- this maintains the sort order invariant).
|
|
indices[idx as usize] += 1;
|
|
for j in idx as usize + 1..r {
|
|
indices[j] = indices[j - 1] + 1;
|
|
}
|
|
}
|
|
|
|
Ok(res)
|
|
}
|
|
}
|
|
|
|
#[pyattr]
|
|
#[pyclass(name = "combinations_with_replacement")]
|
|
#[derive(Debug)]
|
|
struct PyItertoolsCombinationsWithReplacement {
|
|
pool: Vec<PyObjectRef>,
|
|
indices: PyRwLock<Vec<usize>>,
|
|
r: AtomicCell<usize>,
|
|
exhausted: AtomicCell<bool>,
|
|
}
|
|
|
|
impl PyValue for PyItertoolsCombinationsWithReplacement {
|
|
fn class(_vm: &VirtualMachine) -> &PyTypeRef {
|
|
Self::static_type()
|
|
}
|
|
}
|
|
|
|
#[pyimpl(with(PyIter))]
|
|
impl PyItertoolsCombinationsWithReplacement {
|
|
#[pyslot]
|
|
fn tp_new(
|
|
cls: PyTypeRef,
|
|
iterable: PyObjectRef,
|
|
r: PyIntRef,
|
|
vm: &VirtualMachine,
|
|
) -> PyResult<PyRef<Self>> {
|
|
let iter = get_iter(vm, iterable)?;
|
|
let pool = get_all(vm, &iter)?;
|
|
|
|
let r = r.as_bigint();
|
|
if r.is_negative() {
|
|
return Err(vm.new_value_error("r must be non-negative".to_owned()));
|
|
}
|
|
let r = r.to_usize().unwrap();
|
|
|
|
let n = pool.len();
|
|
|
|
PyItertoolsCombinationsWithReplacement {
|
|
pool,
|
|
indices: PyRwLock::new(vec![0; r]),
|
|
r: AtomicCell::new(r),
|
|
exhausted: AtomicCell::new(n == 0 && r > 0),
|
|
}
|
|
.into_ref_with_type(vm, cls)
|
|
}
|
|
}
|
|
impl PyIter for PyItertoolsCombinationsWithReplacement {
|
|
fn next(zelf: &PyRef<Self>, vm: &VirtualMachine) -> PyResult {
|
|
// stop signal
|
|
if zelf.exhausted.load() {
|
|
return Err(vm.new_stop_iteration());
|
|
}
|
|
|
|
let n = zelf.pool.len();
|
|
let r = zelf.r.load();
|
|
|
|
if r == 0 {
|
|
zelf.exhausted.store(true);
|
|
return Ok(vm.ctx.new_tuple(vec![]));
|
|
}
|
|
|
|
let mut indices = zelf.indices.write();
|
|
|
|
let res = vm
|
|
.ctx
|
|
.new_tuple(indices.iter().map(|&i| zelf.pool[i].clone()).collect());
|
|
|
|
// Scan indices right-to-left until finding one that is not at its maximum (i + n - r).
|
|
let mut idx = r as isize - 1;
|
|
while idx >= 0 && indices[idx as usize] == n - 1 {
|
|
idx -= 1;
|
|
}
|
|
|
|
// If no suitable index is found, then the indices are all at
|
|
// their maximum value and we're done.
|
|
if idx < 0 {
|
|
zelf.exhausted.store(true);
|
|
} else {
|
|
let index = indices[idx as usize] + 1;
|
|
|
|
// Increment the current index which we know is not at its
|
|
// maximum. Then set all to the right to the same value.
|
|
for j in idx as usize..r {
|
|
indices[j as usize] = index as usize;
|
|
}
|
|
}
|
|
|
|
Ok(res)
|
|
}
|
|
}
|
|
|
|
#[pyattr]
|
|
#[pyclass(name = "permutations")]
|
|
#[derive(Debug)]
|
|
struct PyItertoolsPermutations {
|
|
pool: Vec<PyObjectRef>, // Collected input iterable
|
|
indices: PyRwLock<Vec<usize>>, // One index per element in pool
|
|
cycles: PyRwLock<Vec<usize>>, // One rollover counter per element in the result
|
|
result: PyRwLock<Option<Vec<usize>>>, // Indexes of the most recently returned result
|
|
r: AtomicCell<usize>, // Size of result tuple
|
|
exhausted: AtomicCell<bool>, // Set when the iterator is exhausted
|
|
}
|
|
|
|
impl PyValue for PyItertoolsPermutations {
|
|
fn class(_vm: &VirtualMachine) -> &PyTypeRef {
|
|
Self::static_type()
|
|
}
|
|
}
|
|
|
|
#[pyimpl(with(PyIter))]
|
|
impl PyItertoolsPermutations {
|
|
#[pyslot]
|
|
fn tp_new(
|
|
cls: PyTypeRef,
|
|
iterable: PyObjectRef,
|
|
r: OptionalOption<PyObjectRef>,
|
|
vm: &VirtualMachine,
|
|
) -> PyResult<PyRef<Self>> {
|
|
let pool = vm.extract_elements(&iterable)?;
|
|
|
|
let n = pool.len();
|
|
// If r is not provided, r == n. If provided, r must be a positive integer, or None.
|
|
// If None, it behaves the same as if it was not provided.
|
|
let r = match r.flatten() {
|
|
Some(r) => {
|
|
let val = r
|
|
.payload::<PyInt>()
|
|
.ok_or_else(|| vm.new_type_error("Expected int as r".to_owned()))?
|
|
.as_bigint();
|
|
|
|
if val.is_negative() {
|
|
return Err(vm.new_value_error("r must be non-negative".to_owned()));
|
|
}
|
|
val.to_usize().unwrap()
|
|
}
|
|
None => n,
|
|
};
|
|
|
|
PyItertoolsPermutations {
|
|
pool,
|
|
indices: PyRwLock::new((0..n).collect()),
|
|
cycles: PyRwLock::new((0..r.min(n)).map(|i| n - i).collect()),
|
|
result: PyRwLock::new(None),
|
|
r: AtomicCell::new(r),
|
|
exhausted: AtomicCell::new(r > n),
|
|
}
|
|
.into_ref_with_type(vm, cls)
|
|
}
|
|
}
|
|
impl PyIter for PyItertoolsPermutations {
|
|
fn next(zelf: &PyRef<Self>, vm: &VirtualMachine) -> PyResult {
|
|
// stop signal
|
|
if zelf.exhausted.load() {
|
|
return Err(vm.new_stop_iteration());
|
|
}
|
|
|
|
let n = zelf.pool.len();
|
|
let r = zelf.r.load();
|
|
|
|
if n == 0 {
|
|
zelf.exhausted.store(true);
|
|
return Ok(vm.ctx.new_tuple(vec![]));
|
|
}
|
|
|
|
let mut result = zelf.result.write();
|
|
|
|
if let Some(ref mut result) = *result {
|
|
let mut indices = zelf.indices.write();
|
|
let mut cycles = zelf.cycles.write();
|
|
let mut sentinel = false;
|
|
|
|
// Decrement rightmost cycle, moving leftward upon zero rollover
|
|
for i in (0..r).rev() {
|
|
cycles[i] -= 1;
|
|
|
|
if cycles[i] == 0 {
|
|
// rotation: indices[i:] = indices[i+1:] + indices[i:i+1]
|
|
let index = indices[i];
|
|
for j in i..n - 1 {
|
|
indices[j] = indices[j + 1];
|
|
}
|
|
indices[n - 1] = index;
|
|
cycles[i] = n - i;
|
|
} else {
|
|
let j = cycles[i];
|
|
indices.swap(i, n - j);
|
|
|
|
for k in i..r {
|
|
// start with i, the leftmost element that changed
|
|
// yield tuple(pool[k] for k in indices[:r])
|
|
result[k] = indices[k];
|
|
}
|
|
sentinel = true;
|
|
break;
|
|
}
|
|
}
|
|
if !sentinel {
|
|
zelf.exhausted.store(true);
|
|
return Err(vm.new_stop_iteration());
|
|
}
|
|
} else {
|
|
// On the first pass, initialize result tuple using the indices
|
|
*result = Some((0..r).collect());
|
|
}
|
|
|
|
Ok(vm.ctx.new_tuple(
|
|
result
|
|
.as_ref()
|
|
.unwrap()
|
|
.iter()
|
|
.map(|&i| zelf.pool[i].clone())
|
|
.collect(),
|
|
))
|
|
}
|
|
}
|
|
|
|
#[pyattr]
|
|
#[pyclass(name = "zip_longest")]
|
|
#[derive(Debug)]
|
|
struct PyItertoolsZipLongest {
|
|
iterators: Vec<PyObjectRef>,
|
|
fillvalue: PyObjectRef,
|
|
}
|
|
|
|
impl PyValue for PyItertoolsZipLongest {
|
|
fn class(_vm: &VirtualMachine) -> &PyTypeRef {
|
|
Self::static_type()
|
|
}
|
|
}
|
|
|
|
#[derive(FromArgs)]
|
|
struct ZipLongestArgs {
|
|
#[pyarg(named, optional)]
|
|
fillvalue: OptionalArg<PyObjectRef>,
|
|
}
|
|
|
|
#[pyimpl(with(PyIter))]
|
|
impl PyItertoolsZipLongest {
|
|
#[pyslot]
|
|
fn tp_new(
|
|
cls: PyTypeRef,
|
|
iterables: Args,
|
|
args: ZipLongestArgs,
|
|
vm: &VirtualMachine,
|
|
) -> PyResult<PyRef<Self>> {
|
|
let fillvalue = args.fillvalue.unwrap_or_none(vm);
|
|
let iterators = iterables
|
|
.into_iter()
|
|
.map(|iterable| get_iter(vm, iterable))
|
|
.collect::<Result<Vec<_>, _>>()?;
|
|
|
|
PyItertoolsZipLongest {
|
|
iterators,
|
|
fillvalue,
|
|
}
|
|
.into_ref_with_type(vm, cls)
|
|
}
|
|
}
|
|
impl PyIter for PyItertoolsZipLongest {
|
|
fn next(zelf: &PyRef<Self>, vm: &VirtualMachine) -> PyResult {
|
|
if zelf.iterators.is_empty() {
|
|
Err(vm.new_stop_iteration())
|
|
} else {
|
|
let mut result: Vec<PyObjectRef> = Vec::new();
|
|
let mut numactive = zelf.iterators.len();
|
|
|
|
for idx in 0..zelf.iterators.len() {
|
|
let next_obj = match call_next(vm, &zelf.iterators[idx]) {
|
|
Ok(obj) => obj,
|
|
Err(err) => {
|
|
if !err.isinstance(&vm.ctx.exceptions.stop_iteration) {
|
|
return Err(err);
|
|
}
|
|
numactive -= 1;
|
|
if numactive == 0 {
|
|
return Err(vm.new_stop_iteration());
|
|
}
|
|
zelf.fillvalue.clone()
|
|
}
|
|
};
|
|
result.push(next_obj);
|
|
}
|
|
Ok(vm.ctx.new_tuple(result))
|
|
}
|
|
}
|
|
}
|
|
|
|
#[pyattr]
|
|
#[pyclass(name = "pairwise")]
|
|
#[derive(Debug)]
|
|
struct PyItertoolsPairwise {
|
|
iterator: PyObjectRef,
|
|
old: PyRwLock<Option<PyObjectRef>>,
|
|
}
|
|
|
|
impl PyValue for PyItertoolsPairwise {
|
|
fn class(_vm: &VirtualMachine) -> &PyTypeRef {
|
|
Self::static_type()
|
|
}
|
|
}
|
|
|
|
#[pyimpl(with(PyIter))]
|
|
impl PyItertoolsPairwise {
|
|
#[pyslot]
|
|
fn tp_new(
|
|
cls: PyTypeRef,
|
|
iterable: PyObjectRef,
|
|
vm: &VirtualMachine,
|
|
) -> PyResult<PyRef<Self>> {
|
|
let iterator = get_iter(vm, iterable)?;
|
|
|
|
PyItertoolsPairwise {
|
|
iterator,
|
|
old: PyRwLock::new(None),
|
|
}
|
|
.into_ref_with_type(vm, cls)
|
|
}
|
|
}
|
|
impl PyIter for PyItertoolsPairwise {
|
|
fn next(zelf: &PyRef<Self>, vm: &VirtualMachine) -> PyResult {
|
|
let old = match zelf.old.read().clone() {
|
|
None => call_next(vm, &zelf.iterator)?,
|
|
Some(obj) => obj,
|
|
};
|
|
let new = call_next(vm, &zelf.iterator)?;
|
|
*zelf.old.write() = Some(new.clone());
|
|
Ok(vm.ctx.new_tuple(vec![old, new]))
|
|
}
|
|
}
|
|
}
|