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@ -10,8 +10,8 @@ const char kPythonLibs_datetime[] = "from time import localtime\nimport operator
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const char kPythonLibs_functools[] = "class cache:\n def __init__(self, f):\n self.f = f\n self.cache = {}\n\n def __call__(self, *args):\n if args not in self.cache:\n self.cache[args] = self.f(*args)\n return self.cache[args]\n \nclass lru_cache:\n def __init__(self, maxsize=128):\n self.maxsize = maxsize\n self.cache = {}\n\n def __call__(self, f):\n def wrapped(*args):\n if args in self.cache:\n res = self.cache.pop(args)\n self.cache[args] = res\n return res\n \n res = f(*args)\n if len(self.cache) >= self.maxsize:\n first_key = next(iter(self.cache))\n self.cache.pop(first_key)\n self.cache[args] = res\n return res\n return wrapped\n \ndef reduce(function, sequence, initial=...):\n it = iter(sequence)\n if initial is ...:\n try:\n value = next(it)\n except StopIteration:\n raise TypeError(\"reduce() of empty sequence with no initial value\")\n else:\n value = initial\n for element in it:\n value = function(value, element)\n return value\n\nclass partial:\n def __init__(self, f, *args, **kwargs):\n self.f = f\n if not callable(f):\n raise TypeError(\"the first argument must be callable\")\n self.args = args\n self.kwargs = kwargs\n\n def __call__(self, *args, **kwargs):\n kwargs.update(self.kwargs)\n return self.f(*self.args, *args, **kwargs)\n\n";
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const char kPythonLibs_heapq[] = "# Heap queue algorithm (a.k.a. priority queue)\ndef heappush(heap, item):\n \"\"\"Push item onto heap, maintaining the heap invariant.\"\"\"\n heap.append(item)\n _siftdown(heap, 0, len(heap)-1)\n\ndef heappop(heap):\n \"\"\"Pop the smallest item off the heap, maintaining the heap invariant.\"\"\"\n lastelt = heap.pop() # raises appropriate IndexError if heap is empty\n if heap:\n returnitem = heap[0]\n heap[0] = lastelt\n _siftup(heap, 0)\n return returnitem\n return lastelt\n\ndef heapreplace(heap, item):\n \"\"\"Pop and return the current smallest value, and add the new item.\n\n This is more efficient than heappop() followed by heappush(), and can be\n more appropriate when using a fixed-size heap. Note that the value\n returned may be larger than item! That constrains reasonable uses of\n this routine unless written as part of a conditional replacement:\n\n if item > heap[0]:\n item = heapreplace(heap, item)\n \"\"\"\n returnitem = heap[0] # raises appropriate IndexError if heap is empty\n heap[0] = item\n _siftup(heap, 0)\n return returnitem\n\ndef heappushpop(heap, item):\n \"\"\"Fast version of a heappush followed by a heappop.\"\"\"\n if heap and heap[0] < item:\n item, heap[0] = heap[0], item\n _siftup(heap, 0)\n return item\n\ndef heapify(x):\n \"\"\"Transform list into a heap, in-place, in O(len(x)) time.\"\"\"\n n = len(x)\n # Transform bottom-up. The largest index there's any point to looking at\n # is the largest with a child index in-range, so must have 2*i + 1 < n,\n # or i < (n-1)/2. If n is even = 2*j, this is (2*j-1)/2 = j-1/2 so\n # j-1 is the largest, which is n//2 - 1. If n is odd = 2*j+1, this is\n # (2*j+1-1)/2 = j so j-1 is the largest, and that's again n//2-1.\n for i in reversed(range(n//2)):\n _siftup(x, i)\n\n# 'heap' is a heap at all indices >= startpos, except possibly for pos. pos\n# is the index of a leaf with a possibly out-of-order value. Restore the\n# heap invariant.\ndef _siftdown(heap, startpos, pos):\n newitem = heap[pos]\n # Follow the path to the root, moving parents down until finding a place\n # newitem fits.\n while pos > startpos:\n parentpos = (pos - 1) >> 1\n parent = heap[parentpos]\n if newitem < parent:\n heap[pos] = parent\n pos = parentpos\n continue\n break\n heap[pos] = newitem\n\ndef _siftup(heap, pos):\n endpos = len(heap)\n startpos = pos\n newitem = heap[pos]\n # Bubble up the smaller child until hitting a leaf.\n childpos = 2*pos + 1 # leftmost child position\n while childpos < endpos:\n # Set childpos to index of smaller child.\n rightpos = childpos + 1\n if rightpos < endpos and not heap[childpos] < heap[rightpos]:\n childpos = rightpos\n # Move the smaller child up.\n heap[pos] = heap[childpos]\n pos = childpos\n childpos = 2*pos + 1\n # The leaf at pos is empty now. Put newitem there, and bubble it up\n # to its final resting place (by sifting its parents down).\n heap[pos] = newitem\n _siftdown(heap, startpos, pos)";
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const char kPythonLibs_linalg[] = "from vmath import *";
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const char kPythonLibs_operator[] = "# https://docs.python.org/3/library/operator.html#mapping-operators-to-functions\n\ndef le(a, b): return a <= b\ndef lt(a, b): return a < b\ndef ge(a, b): return a >= b\ndef gt(a, b): return a > b\ndef eq(a, b): return a == b\ndef ne(a, b): return a != b\n\ndef and_(a, b): return a & b\ndef or_(a, b): return a | b\ndef xor(a, b): return a ^ b\ndef invert(a): return ~a\ndef lshift(a, b): return a << b\ndef rshift(a, b): return a >> b\n\ndef is_(a, b): return a is b\ndef is_not(a, b): return a is not b\ndef not_(a): return not a\ndef truth(a): return bool(a)\ndef contains(a, b): return b in a\n\ndef add(a, b): return a + b\ndef sub(a, b): return a - b\ndef mul(a, b): return a * b\ndef truediv(a, b): return a / b\ndef floordiv(a, b): return a // b\ndef mod(a, b): return a % b\ndef pow(a, b): return a ** b\ndef neg(a): return -a\ndef matmul(a, b): return a @ b\n\ndef getitem(a, b): return a[b]\ndef setitem(a, b, c): a[b] = c\ndef delitem(a, b): del a[b]\n\ndef iadd(a, b): a += b; return a\ndef isub(a, b): a -= b; return a\ndef imul(a, b): a *= b; return a\ndef itruediv(a, b): a /= b; return a\ndef ifloordiv(a, b): a //= b; return a\ndef imod(a, b): a %= b; return a\n# def ipow(a, b): a **= b; return a\n# def imatmul(a, b): a @= b; return a\ndef iand(a, b): a &= b; return a\ndef ior(a, b): a |= b; return a\ndef ixor(a, b): a ^= b; return a\ndef ilshift(a, b): a <<= b; return a\ndef irshift(a, b): a >>= b; return a\n\nclass attrgetter:\n def __init__(self, attr):\n self.attr = attr\n def __call__(self, obj):\n return getattr(obj, self.attr)\n";
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const char kPythonLibs_typing[] = "class _Placeholder:\n def __init__(self, *args, **kwargs):\n pass\n def __getitem__(self, *args):\n return self\n def __call__(self, *args, **kwargs):\n return self\n def __and__(self, other):\n return self\n def __or__(self, other):\n return self\n def __xor__(self, other):\n return self\n\n\n_PLACEHOLDER = _Placeholder()\n\nSequence = _PLACEHOLDER\nList = _PLACEHOLDER\nDict = _PLACEHOLDER\nTuple = _PLACEHOLDER\nSet = _PLACEHOLDER\nAny = _PLACEHOLDER\nUnion = _PLACEHOLDER\nOptional = _PLACEHOLDER\nCallable = _PLACEHOLDER\nType = _PLACEHOLDER\nTypeAlias = _PLACEHOLDER\nNewType = _PLACEHOLDER\n\nClassVar = _PLACEHOLDER\n\nLiteral = _PLACEHOLDER\nLiteralString = _PLACEHOLDER\n\nIterable = _PLACEHOLDER\nGenerator = _PLACEHOLDER\nIterator = _PLACEHOLDER\n\nHashable = _PLACEHOLDER\n\nTypeVar = _PLACEHOLDER\nSelf = _PLACEHOLDER\n\nProtocol = object\nGeneric = object\nNever = object\n\nTYPE_CHECKING = False\n\n# decorators\noverload = lambda x: x\nfinal = lambda x: x\n\n# exhaustiveness checking\nassert_never = lambda x: x\n\nTypedDict = dict\nNotRequired = _PLACEHOLDER\n\ncast = lambda _, val: val\n";
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const char kPythonLibs_operator[] = "# https://docs.python.org/3/library/operator.html#mapping-operators-to-functions\n\ndef le(a, b): return a <= b\ndef lt(a, b): return a < b\ndef ge(a, b): return a >= b\ndef gt(a, b): return a > b\ndef eq(a, b): return a == b\ndef ne(a, b): return a != b\n\ndef and_(a, b): return a & b\ndef or_(a, b): return a | b\ndef xor(a, b): return a ^ b\ndef invert(a): return ~a\ndef lshift(a, b): return a << b\ndef rshift(a, b): return a >> b\n\ndef is_(a, b): return a is b\ndef is_not(a, b): return a is not b\ndef not_(a): return not a\ndef truth(a): return bool(a)\ndef contains(a, b): return b in a\n\ndef add(a, b): return a + b\ndef sub(a, b): return a - b\ndef mul(a, b): return a * b\ndef truediv(a, b): return a / b\ndef floordiv(a, b): return a // b\ndef mod(a, b): return a % b\ndef pow(a, b): return a ** b\ndef neg(a): return -a\ndef matmul(a, b): return a @ b\n\ndef getitem(a, b): return a[b]\ndef setitem(a, b, c): a[b] = c\ndef delitem(a, b): del a[b]\n\ndef iadd(a, b): a += b; return a\ndef isub(a, b): a -= b; return a\ndef imul(a, b): a *= b; return a\ndef itruediv(a, b): a /= b; return a\ndef ifloordiv(a, b): a //= b; return a\ndef imod(a, b): a %= b; return a\n# def ipow(a, b): a **= b; return a\n# def imatmul(a, b): a @= b; return a\ndef iand(a, b): a &= b; return a\ndef ior(a, b): a |= b; return a\ndef ixor(a, b): a ^= b; return a\ndef ilshift(a, b): a <<= b; return a\ndef irshift(a, b): a >>= b; return a\n\nclass attrgetter:\n def __init__(self, attr):\n self.attr = attr\n def __call__(self, obj):\n return getattr(obj, self.attr)\n\nclass itemgetter:\n def __init__(self, item):\n self.item = item\n def __call__(self, obj):\n return obj[self.item]\n";
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const char kPythonLibs_typing[] = "class _Placeholder:\n def __init__(self, *args, **kwargs):\n pass\n def __getitem__(self, *args):\n return self\n def __call__(self, *args, **kwargs):\n return self\n def __and__(self, other):\n return self\n def __or__(self, other):\n return self\n def __xor__(self, other):\n return self\n\n\n_PLACEHOLDER = _Placeholder()\n\nSequence = _PLACEHOLDER\nList = _PLACEHOLDER\nDict = _PLACEHOLDER\nTuple = _PLACEHOLDER\nSet = _PLACEHOLDER\nAny = _PLACEHOLDER\nUnion = _PLACEHOLDER\nOptional = _PLACEHOLDER\nCallable = _PLACEHOLDER\nType = _PLACEHOLDER\nTypeAlias = _PLACEHOLDER\nNewType = _PLACEHOLDER\n\nClassVar = _PLACEHOLDER\n\nLiteral = _PLACEHOLDER\nLiteralString = _PLACEHOLDER\n\nIterable = _PLACEHOLDER\nGenerator = _PLACEHOLDER\nIterator = _PLACEHOLDER\n\nHashable = _PLACEHOLDER\n\nTypeVar = _PLACEHOLDER\nSelf = _PLACEHOLDER\n\nProtocol = object\nGeneric = object\nNever = object\n\nTYPE_CHECKING = False\n\n# decorators\noverload = lambda x: x\nfinal = lambda x: x\n\n# exhaustiveness checking\nassert_never = lambda x: x\n\nTypedDict = dict\nNotRequired = _PLACEHOLDER\nReadOnly = _PLACEHOLDER\nRequired = _PLACEHOLDER\n\ncast = lambda _, val: val\n";
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const char* load_kPythonLib(const char* name) {
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if (strchr(name, '.') != NULL) return NULL;
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