172 lines
4.6 KiB
Plaintext
Executable File
172 lines
4.6 KiB
Plaintext
Executable File
#!/home/klange/Projects/kuroko/kuroko
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import time
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# You may want to look at this in an editor with the syntax highlighting
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# set to Python. Not even bim has a highlighter for Kuroko yet.
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if False:
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print("Kuroko has Python-style syntax")
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print("with significant whitespace.")
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print("Blank lines are ignored.")
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# Comments should work, too.
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print("None of this should print, since it's in an `if False:`")
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print("This is the first line that should print.")
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# Concatenation currently requires the first argument be a string.
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# Other values then get converted to strings as you go.
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print("We can do simple concatenation " + 123 + ".")
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# Lox only has a 'Number' type for numerical values, but we have
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# Integer and Floating to separate the two.
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print(4.2 * 9.7) # Should be 40.74
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print(1 + 2 + 3)
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# Other bases:
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print("Hex: " + 0xFF + " Octal: " + 0o123 + " Binary: " + 0b1010)
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# This `for init, cond, step:` syntax is possibly temporary? I do intend to
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# implement iterators and `for VAR in ITER:` like in Python, but C-style for
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# loops are also useful...
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for i = 0, i < 10, i = i + 1:
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print("i = " + i)
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# Functions work like in Python, though currently no default values.
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def function(arg): # And of course the parser will handle comments here...
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print("This is a function that does a thing!")
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if arg == "demo": # Or here...
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print("You passed 'demo' as an argument!")
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else: # And definitely here.
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print("You passed something else.")
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return 42
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print("This code is after the function definition")
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# While I'm following the book, variable declarations are explicit with `let`.
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# I don't know if I want to implement Python's scoping rules, which are a bit
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# ... different from other languages in that lots of control flow that you
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# would normally think of as introducing scope does not do so in Python. For
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# now we're following traditional scoping rules, and a simple `let foo` at
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# the head of the appropriate block should work okay.
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let result = function("demo")
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print("The function call returned: " + result)
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# `sleep()` is a native function bind. Lox has `clock` as an example, but I
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# figured something with arguments would be more useful? The purpose of this
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# language is to be used for writing syntax highlighters, configs, and also
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# plugins for bim, so native bindings are going to be very important.
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result = time.sleep(0.1)
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print("Call to sleep returned: " + result)
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function("something else")
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# This is some stuff to test closures
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class Funcs:
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let funcs = Funcs()
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if True:
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let a = 1
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def f():
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print(a)
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let b = 2
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def g():
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print(b)
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let c = 3
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def h():
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print(c)
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funcs.f = f
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funcs.g = g
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funcs.f()
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funcs.g()
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def outer(): # test
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#foo
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#multiple lines
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let x = "outside"
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def inner():
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print(x)
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return inner
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print("Function is defined, creating it...")
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let closure = outer()
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print("And executing the result...")
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# This should correctly print "outside"
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closure()
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# This is surprisingly similar to Python already...
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print("Let's do some classes.")
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class Test: # This is a test class
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# `self` is actually optional - it's implictly passed.
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# If you include it in a parameter list, it's completely ignored.
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def __init__(self):
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self.foo = "bax"
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# Look, a method!
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def doAThing():
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print("yay: " + self.foo)
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print(Test)
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let test = Test()
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#print(test) # Removed because of pointer output
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test.doAThing()
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test.foo = "bar"
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print(test.foo)
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print(test.doAThing)
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test.doAThing()
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class SuperClass():
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def __init__(self):
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self.a = "class"
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def aMethod(self):
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print("This is a great " + self.a + "!")
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def __str__(self):
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return "(I am a " + self.a + ")"
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def __get__(self, ind):
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return "(get[" + ind + "])"
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def __set__(self, ind, val):
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print("(set[" + ind + "] = " + val + ")")
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class SubClass(SuperClass):
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def __init__(self):
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self.a = "teapot"
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let subclass = SubClass()
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subclass.aMethod()
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# Nope
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#print(self)
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# Also nope
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#def notAMethod():
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# print(self)
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# Definitely nope
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#def notAMethoDeither(self):
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# print(self)
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print("Subclass says: " + subclass)
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subclass.__get__(123)
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print(subclass[123])
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subclass[456] = "test"
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print("Let's make a hashmap:")
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let hash = dict()
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hash["hello"] = "world"
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print(hash["hello"])
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print("Let's make some lists:")
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let l = list()
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print("Length before: " + len(l))
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l.append(1)
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l.append(2)
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l.append(3)
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print("Length after: " + len(l))
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for j = 0, j < len(l), j = j + 1:
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print("j=" + j + ", list[j]=" + l[j])
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print("Can we call properties of strings?".__len__()) # Of course we can.
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return 0
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