How to use visit_Lambda method in hypothesis

Best Python code snippet using hypothesis

example_1.py

Source:example_1.py Github

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...34 def visit_Call(self,node):35 """ visit a Call node and visits it recursively"""36 print(type(node).__name__)37 @recursive38 def visit_Lambda(self,node):39 """ visit a Function node """40 print(type(node).__name__)41 @recursive42 def visit_FunctionDef(self,node):43 """ visit a Function node and visits it recursively"""44 print(type(node).__name__)45 @recursive46 def visit_Module(self,node):47 """ visit a Module node and the visits recursively"""48 pass49 def generic_visit(self,node):50 pass51class SimpleVisitor(ast.NodeVisitor):52 """ simple visitor for comparison """53 def recursive(func):54 """ decorator to make visitor work recursive """55 def wrapper(self,node):56 func(self,node)57 for child in ast.iter_child_nodes(node):58 self.visit(child)59 return wrapper60 def visit_Assign(self,node):61 """ visit a Assign node """62 print(type(node).__name__)63 def visit_BinOp(self, node):64 """ visit a BinOp node """65 print(type(node).__name__)66 def visit_Call(self,node):67 """ visit a Call node """68 print(type(node).__name__)69 def visit_Lambda(self,node):70 """ visit a Function node """71 print(type(node).__name__)72 def visit_FunctionDef(self,node):73 """ visit a Function node """74 print(type(node).__name__)75 @recursive76 def visit_Module(self,node):77 """ visit a Module node and the visits recursively, otherwise you78 wouldn't see anything here"""79 pass80 def generic_visit(self,node):81 pass82# usage example83a = """...

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global_symbol_collision_resolver.py

Source:global_symbol_collision_resolver.py Github

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2from ...utils.uid import uid3from ..pass_helper.scope_visitor import ScopeVisitor, ScopeTranslator4from ..pass_helper.conversion import alpha_conversion5class GlobalSymbolCollisionCollector(ScopeVisitor):6 def visit_Lambda(self, node: Lambda, *, collisions, decls, **kwargs):7 for arg in node.args:8 if arg in decls:9 collisions.append(arg)10 decls[arg] = node11 super().visit_Lambda(node, collisions=collisions, decls=decls, **kwargs)12 def visit_Let(self, node, *, collisions, decls, **kwargs):13 for var in node.vars:14 if var.name in decls:15 collisions.append(var.name)16 decls[var.name] = var.value17 super().visit_Let(node, collisions=collisions, decls=decls, **kwargs)18 @classmethod19 def apply(cls, node, decls=None): # if you want the decl to a collision just pass a dict yourself20 if not decls:21 decls = {}22 collisions = []23 super(GlobalSymbolCollisionCollector, cls).apply(node, decls=decls, collisions=collisions)24 return collisions25class GlobalSymbolCollisionResolver(ScopeTranslator):26 def visit_Lambda(self, node: Lambda, *, symtable, collisions, **kwargs):27 new_symtable = {arg: (arg if arg not in collisions else Symbol(name=arg.name+f"_c{uid('collision')}", type_=arg.type_)) for arg in node.args}28 args = tuple(new_symtable[arg] for arg in node.args)29 expr = self.visit(alpha_conversion(node.expr, new_symtable, closure_symbols=symtable), symtable=symtable, collisions=collisions, **kwargs)30 return Lambda(args=args, expr=expr)31 def visit_Let(self, node: Let, *, symtable, collisions, **kwargs):32 if len(collisions) == 0:33 return node34 new_symtable = {35 var.name: (var.name if var.name not in collisions else Symbol(name=var.name.name + f"_c{uid('collision')}", type_=var.name.type_)) for36 var in node.vars}37 new_collisions = [collision for collision in collisions if collision not in new_symtable]38 vars_ = tuple(Var(name=new_symtable[var.name], value=self.visit(var.value, symtable=symtable, collisions=new_collisions, **kwargs)) for var in node.vars)39 # todo: pass correct symboltable40 expr = self.visit(alpha_conversion(node.expr, new_symtable, closure_symbols=symtable, allow_unresolved=True),...

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random_generators.py

Source:random_generators.py Github

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1import numpy as np2from conf import Conf3def btw_arrival():4 return np.random.exponential(scale=1/Conf.LAMBDA, size=Conf.CLIENT_NO)5def service_time():6 return np.random.exponential(scale=1/Conf.MU, size=Conf.CLIENT_NO)7def visit_time(visit_lambda):8 return np.random.exponential(scale=1/visit_lambda, size=1)[0]9def queue_time():10 return Conf.ALPHA11def corona():...

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