o h @s@ddlZddlmZddlmZd ddZeeddfddZdS) N) partition_all) no_defaultcCs"|dur t||St|||SN) functoolsreduce)funcseqinitialr c/var/www/html/HyperOracle/crypto_trader/venv/lib/python3.10/site-packages/toolz/sandbox/parallel.py_reduces r cCs|dksJ|dur |}t||}|tkr|tt||}n |tjt||d|}t|}t|dkr8|dSt||||dS)a Reduce without guarantee of ordered reduction. Parameters ---------- binops Associative operator. The associative property allows us to leverage a parallel map to perform reductions in parallel. inputs: ``binop`` - associative operator. The associative property allows us to leverage a parallel map to perform reductions in parallel. ``seq`` - a sequence to be aggregated ``default`` - an identity element like 0 for ``add`` or 1 for mul ``map`` - an implementation of ``map``. This may be parallel and determines how work is distributed. ``chunksize`` - Number of elements of ``seq`` that should be handled within a single function call ``combine`` - Binary operator to combine two intermediate results. If ``binop`` is of type (total, item) -> total then ``combine`` is of type (total, total) -> total Defaults to ``binop`` for common case of operators like add Fold chunks up the collection into blocks of size ``chunksize`` and then feeds each of these to calls to ``reduce``. This work is distributed with a call to ``map``, gathered back and then refolded to finish the computation. In this way ``fold`` specifies only how to chunk up data but leaves the distribution of this work to an externally provided ``map`` function. This function can be sequential or rely on multithreading, multiprocessing, or even distributed solutions. If ``map`` intends to serialize functions it should be prepared to accept and serialize lambdas. Note that the standard ``pickle`` module fails here. Example ------- >>> # Provide a parallel map to accomplish a parallel sum >>> from operator import add >>> fold(add, [1, 2, 3, 4], chunksize=2, map=map) 10 N)r r)map chunksize)rrrpartialr listlenfold)binoprdefaultrrcombinechunksresultsr r r r s" 0   rr)rtoolz.itertoolzr toolz.utilsrr rrr r r r s