{ "info": { "author": "Chris Drake", "author_email": "cjdrake AT gmail DOT com", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: BSD License", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Topic :: Scientific/Engineering", "Topic :: Scientific/Engineering :: Mathematics" ], "description": "***************************************\n Python Electronic Design Automation\n***************************************\n\nPyEDA is a Python library for electronic design automation.\n\n`Read the docs! `_\n\n.. image:: https://travis-ci.org/cjdrake/pyeda.png?branch=master\n :target: https://travis-ci.org/cjdrake/pyeda\n\nFeatures\n========\n\n* Symbolic Boolean algebra with a selection of function representations:\n\n * Logic expressions\n * Truth tables, with three output states (0, 1, \"don't care\")\n * Reduced, ordered binary decision diagrams (ROBDDs)\n\n* SAT solvers:\n\n * Backtracking\n * `PicoSAT `_\n\n* `Espresso `_ logic minimization\n* Formal equivalence\n* Multi-dimensional bit vectors\n* DIMACS CNF/SAT parsers\n* Logic expression parser\n\nDownload\n========\n\nBleeding edge code::\n\n $ git clone git://github.com/cjdrake/pyeda.git\n\nFor release tarballs and zipfiles,\nvisit PyEDA's page at the\n`Cheese Shop `_.\n\nInstallation\n============\n\nLatest release version using\n`pip `_::\n\n $ pip3 install pyeda\n\nInstallation from the repository::\n\n $ python3 setup.py install\n\nNote that you will need to have Python headers and libraries in order to\ncompile the C extensions.\nFor MacOS, the standard Python installation should have everything you need.\nFor Linux, you will probably need to install the Python3 \"development\" package.\n\nFor Debian-based systems (eg Ubuntu, Mint)::\n\n $ sudo apt-get install python3-dev\n\nFor RedHat-based systems (eg RHEL, Centos)::\n\n $ sudo yum install python3-devel\n\nFor Windows, just grab the binaries from Christoph Gohlke's\n*excellent* `pythonlibs page `_.\n\nLogic Expressions\n=================\n\nInvoke your favorite Python terminal,\nand invoke an interactive ``pyeda`` session::\n\n >>> from pyeda.inter import *\n\nCreate some Boolean expression variables::\n\n >>> a, b, c, d = map(exprvar, \"abcd\")\n\nConstruct Boolean functions using overloaded Python operators:\n``~`` (NOT), ``|`` (OR), ``^`` (XOR), ``&`` (AND), ``>>`` (IMPLIES)::\n\n >>> f0 = ~a & b | c & ~d\n >>> f1 = a >> b\n >>> f2 = ~a & b | a & ~b\n >>> f3 = ~a & ~b | a & b\n >>> f4 = ~a & ~b & ~c | a & b & c\n >>> f5 = a & b | ~a & c\n\nConstruct Boolean functions using standard function syntax::\n\n >>> f10 = Or(And(Not(a), b), And(c, Not(d)))\n >>> f11 = Implies(a, b)\n >>> f12 = Xor(a, b)\n >>> f13 = Xnor(a, b)\n >>> f14 = Equal(a, b, c)\n >>> f15 = ITE(a, b, c)\n >>> f16 = Nor(a, b, c)\n >>> f17 = Nand(a, b, c)\n\nConstruct Boolean functions using higher order operators::\n\n >>> OneHot(a, b, c)\n And(Or(~a, ~b), Or(~a, ~c), Or(~b, ~c), Or(a, b, c))\n >>> OneHot0(a, b, c)\n And(Or(~a, ~b), Or(~a, ~c), Or(~b, ~c))\n >>> Majority(a, b, c)\n Or(And(a, b), And(a, c), And(b, c))\n >>> AchillesHeel(a, b, c, d)\n And(Or(a, b), Or(c, d))\n\nInvestigate a function's properties::\n\n >>> f0.support\n frozenset({a, b, c, d})\n >>> f0.inputs\n (a, b, c, d)\n >>> f0.top\n a\n >>> f0.degree\n 4\n >>> f0.cardinality\n 16\n >>> f0.depth\n 2\n\nConvert expressions to negation normal form (NNF),\nwith only OR/AND and literals::\n\n >>> f11.to_nnf()\n Or(~a, b)\n >>> f12.to_nnf()\n Or(And(~a, b), And(a, ~b))\n >>> f13.to_nnf()\n Or(And(~a, ~b), And(a, b))\n >>> f14.to_nnf()\n Or(And(~a, ~b, ~c), And(a, b, c))\n >>> f15.to_nnf()\n Or(And(a, b), And(~a, c))\n >>> f16.to_nnf()\n And(~a, ~b, ~c)\n >>> f17.to_nnf()\n Or(~a, ~b, ~c)\n\nRestrict a function's input variables to fixed values,\nand perform function composition::\n\n >>> f0.restrict({a: 0, c: 1})\n Or(b, ~d)\n >>> f0.compose({a: c, b: ~d})\n Or(And(~c, ~d), And(c, ~d))\n\nTest function formal equivalence::\n\n >>> f2.equivalent(f12)\n True\n >>> f4.equivalent(f14)\n True\n\nInvestigate Boolean identities::\n\n # Double complement\n >>> ~~a\n a\n\n # Idempotence\n >>> a | a\n a\n >>> And(a, a)\n a\n\n # Identity\n >>> Or(a, 0)\n a\n >>> And(a, 1)\n a\n\n # Dominance\n >>> Or(a, 1)\n 1\n >>> And(a, 0)\n 0\n\n # Commutativity\n >>> (a | b).equivalent(b | a)\n True\n >>> (a & b).equivalent(b & a)\n True\n\n # Associativity\n >>> Or(a, Or(b, c))\n Or(a, b, c)\n >>> And(a, And(b, c))\n And(a, b, c)\n\n # Distributive\n >>> (a | (b & c)).to_cnf()\n And(Or(a, b), Or(a, c))\n >>> (a & (b | c)).to_dnf()\n Or(And(a, b), And(a, c))\n\n # De Morgan's\n >>> Not(a | b).to_nnf()\n And(~a, ~b)\n >>> Not(a & b).to_nnf()\n Or(~a, ~b)\n\nPerform Shannon expansions::\n\n >>> a.expand(b)\n Or(And(a, ~b), And(a, b))\n >>> (a & b).expand([c, d])\n Or(And(a, b, ~c, ~d), And(a, b, ~c, d), And(a, b, c, ~d), And(a, b, c, d))\n\nConvert a nested expression to disjunctive normal form::\n\n >>> f = a & (b | (c & d))\n >>> f.depth\n 3\n >>> g = f.to_dnf()\n >>> g\n Or(And(a, b), And(a, c, d))\n >>> g.depth\n 2\n >>> f.equivalent(g)\n True\n\nConvert between disjunctive and conjunctive normal forms::\n\n >>> f = ~a & ~b & c | ~a & b & ~c | a & ~b & ~c | a & b & c\n >>> g = f.to_cnf()\n >>> h = g.to_dnf()\n >>> g\n And(Or(a, b, c), Or(a, ~b, ~c), Or(~a, b, ~c), Or(~a, ~b, c))\n >>> h\n Or(And(~a, ~b, c), And(~a, b, ~c), And(a, ~b, ~c), And(a, b, c))\n\nMulti-Dimensional Bit Vectors\n=============================\n\nCreate some four-bit vectors, and use slice operators::\n\n >>> A = exprvars('a', 4)\n >>> B = exprvars('b', 4)\n >>> A\n farray([a[0], a[1], a[2], a[3]])\n >>> A[2:]\n farray([a[2], a[3]])\n >>> A[-3:-1]\n farray([a[1], a[2]])\n\nPerform bitwise operations using Python overloaded operators:\n``~`` (NOT), ``|`` (OR), ``&`` (AND), ``^`` (XOR)::\n\n >>> ~A\n farray([~a[0], ~a[1], ~a[2], ~a[3]])\n >>> A | B\n farray([Or(a[0], b[0]), Or(a[1], b[1]), Or(a[2], b[2]), Or(a[3], b[3])])\n >>> A & B\n farray([And(a[0], b[0]), And(a[1], b[1]), And(a[2], b[2]), And(a[3], b[3])])\n >>> A ^ B\n farray([Xor(a[0], b[0]), Xor(a[1], b[1]), Xor(a[2], b[2]), Xor(a[3], b[3])])\n\nReduce bit vectors using unary OR, AND, XOR::\n\n >>> A.uor()\n Or(a[0], a[1], a[2], a[3])\n >>> A.uand()\n And(a[0], a[1], a[2], a[3])\n >>> A.uxor()\n Xor(a[0], a[1], a[2], a[3])\n\nCreate and test functions that implement non-trivial logic such as arithmetic::\n\n >>> from pyeda.logic.addition import *\n >>> S, C = ripple_carry_add(A, B)\n # Note \"1110\" is LSB first. This says: \"7 + 1 = 8\".\n >>> S.vrestrict({A: \"1110\", B: \"1000\"}).to_uint()\n 8\n\nOther Function Representations\n==============================\n\nConsult the `documentation `_ for information about\ntruth tables, and binary decision diagrams.\nEach function representation has different trade-offs,\nso always use the right one for the job.\n\nPicoSAT SAT Solver C Extension\n==============================\n\nPyEDA includes an extension to the industrial-strength\n`PicoSAT `_ SAT solving engine.\n\nUse the ``satisfy_one`` method to finding a single satisfying input point::\n\n >>> f = OneHot(a, b, c)\n >>> f.satisfy_one()\n {a: 0, b: 0, c: 1}\n\nUse the ``satisfy_all`` method to iterate through all satisfying input points::\n\n >>> list(f.satisfy_all())\n [{a: 0, b: 0, c: 1}, {a: 0, b: 1, c: 0}, {a: 1, b: 0, c: 0}]\n\nFor more interesting examples, see the following documentation chapters:\n\n* `Solving Sudoku `_\n* `All Solutions to the Eight Queens Puzzle `_\n\nEspresso Logic Minimization C Extension\n=======================================\n\nPyEDA includes an extension to the famous Espresso library for the minimization\nof two-level covers of Boolean functions.\n\nUse the ``espresso_exprs`` function to minimize multiple expressions::\n\n >>> f1 = Or(~a & ~b & ~c, ~a & ~b & c, a & ~b & c, a & b & c, a & b & ~c)\n >>> f2 = Or(~a & ~b & c, a & ~b & c)\n >>> f1m, f2m = espresso_exprs(f1, f2)\n >>> f1m\n Or(And(~a, ~b), And(a, b), And(~b, c))\n >>> f2m\n And(~b, c)\n\nUse the ``espresso_tts`` function to minimize multiple truth tables::\n\n >>> X = exprvars('x', 4)\n >>> f1 = truthtable(X, \"0000011111------\")\n >>> f2 = truthtable(X, \"0001111100------\")\n >>> f1m, f2m = espresso_tts(f1, f2)\n >>> f1m\n Or(x[3], And(x[0], x[2]), And(x[1], x[2]))\n >>> f2m\n Or(x[2], And(x[0], x[1]))\n\nExecute Unit Test Suite\n=======================\n\nIf you have `Nose `_ installed,\nrun the unit test suite with the following command::\n\n $ make test\n\nIf you have `Coverage `_ installed,\ngenerate a coverage report (including HTML) with the following command::\n\n $ make cover\n\nPerform Static Lint Checks\n==========================\n\nIf you have `Pylint `_ installed,\nperform static lint checks with the following command::\n\n $ make lint\n\nBuild the Documentation\n=======================\n\nIf you have `Sphinx `_ installed,\nbuild the HTML documentation with the following command::\n\n $ make html\n\nPython Versions Supported\n=========================\n\nPyEDA is developed using Python 3.3+.\nIt is **NOT** compatible with Python 2.7, or Python 3.2.\n\nCitations\n=========\n\nI recently discovered that people actually use this software in the real world.\nFeel free to send me a pull request if you would like your project listed here\nas well.\n\n* `A Model-Based Approach for Reliability Assessment in Component-Based Systems `_\n* `bunsat `_,\n used for the SAT paper `Fast DQBF Refutation `_.\n* `Solving Logic Riddles with PyEDA `_\n\nContact the Authors\n===================\n\n* Chris Drake (cjdrake AT gmail DOT com), http://cjdrake.github.io", "description_content_type": null, "docs_url": null, "download_url": "https://pypi.python.org/packages/source/p/pyeda", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/cjdrake/pyeda", "keywords": "binary decision diagram,Boolean algebra,Boolean satisfiability,combinational logic,combinatorial logic,computer arithmetic,digital arithmetic,digital logic,EDA,electronic design automation,Espresso,Espresso-exact,Espresso-signature,logic,logic minimization,logic optimization,logic synthesis,math,mathematics,PicoSAT,SAT,satisfiability,truth table,Two-level logic minimization,Two-level logic optimization", "license": "Copyright (c) 2012, Chris Drake\nAll rights reserved.\n\nRedistribution and use in source and binary forms, with or without\nmodification, are permitted provided that the following conditions are met:\n\n* Redistributions of source code must retain the above copyright notice, this\n list of conditions and the following disclaimer.\n\n* Redistributions in binary form must reproduce the above copyright notice,\n this list of conditions and the following disclaimer in the documentation\n and/or other materials provided with the distribution.\n\nTHIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\" AND\nANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED\nWARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\nDISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE\nFOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL\nDAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR\nSERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER\nCAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,\nOR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE\nOF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.", "maintainer": null, "maintainer_email": null, "name": "pyeda", "package_url": "https://pypi.org/project/pyeda/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/pyeda/", "project_urls": { "Download": "https://pypi.python.org/packages/source/p/pyeda", "Homepage": "https://github.com/cjdrake/pyeda" }, "release_url": "https://pypi.org/project/pyeda/0.28.0/", "requires_dist": null, "requires_python": null, "summary": "Python Electronic Design Automation", 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