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iterors 1.0

Initial release.

• Split off from “async” package.
• Incorporated/ported “iterators” package.
• Incorporated/ported “itertools” package.
• Incorporated/ported “itertools2” package.

New functions:

• i_enumerate.array can iterate over arbitrary margins, providing you with a vector index.
• i_window constructs a sliding window of arbitrary length over a given iterator, generalizing itertools2::ipairwise and itripletwise.
• New functions i_rle() and i_rle_inverse() for run-length encoding.
• Introduced accumulation methods i_accum(), reduce(), and sum() and prod().
• i_chain(...) has a companion function i_concat(it) which accepts an iterable (rather than ...).
• New iteror methods for as.numeric, as.vector, as.character, and as.logical.
• concat() pastes chunks from an iterator into a vector.

New features:

• Memory-backed and counting iterors icount, icountn, idiv, igrid, iseq, i_enumerate.default, iteror.default, iteror.data.frame, iteror.default and i_enumerate.array all have shared logic; all accept options chunks, chunksize and recycle with equivalent behavior.
• icount and icountn preserve dimnames.
• Multidimensional iterators icountn, igrid, i_enumerate.array and iteror.array have option rowMajor to control the order of iteration.
• i_unique uses a hash table rather than linear scan, for much improved performance; it also now works with any type of R object.
• Random number iterators like irunif, isample and friends accept options independent, and seed if given, the iterator will maintain a private seed value, so that interleaving with other iterators does not affect reproducibility. You can use a specific random number generator algorithm by also giving kind, normal.kind, and sample.kind.
• i_tee works for any iterator, using a queue, where previously itertools::i_tee only worked for memory-backed iterators.
• Python compatibility: py_iteror wraps an iterator so that it can be used by Python code via package reticulate. Meanwhile iteror has a method for Python objects, allowing Python iterators to be used transparently with iteror code.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.