First commit

.gitignore

+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+
+log/
\ No newline at end of file

anpl/anpl.py

+from dataclasses import dataclass, field, astuple
+from typing import Optional, Any
+import ast
+from copy import deepcopy
+from numpy.testing import assert_equal
+
+@dataclass(frozen=True, eq=True)
+class IOExample:
+    inputs: dict[str, Any]
+    output: Any
+
+    def __eq__(self, __value: object) -> bool:
+        "compare data structures with numpy array."
+        if isinstance(__value, IOExample):
+            try:
+                assert_equal(astuple(self), astuple(__value))
+                return True
+            except AssertionError:
+                return False
+        else:
+            return False
+
+class FunRenamer(ast.NodeTransformer):
+    
+    def __init__(self, old_name, new_name):
+        self.old_name = old_name
+        self.new_name = new_name
+
+    def visit_Call(self, node):
+        if isinstance(node.func, ast.Name) and node.func.id == self.old_name:
+            node.func.id = self.new_name
+        return self.generic_visit(node)
+
+
+@dataclass
+class Function:
+    name: str
+
+    prompt: Optional[str] = None
+    code: Optional[ast.FunctionDef] = None
+    gloden_ios: list[IOExample] = field(default_factory=list) # Here is a typo
+
+    dependencies: list[str] = field(default_factory=list)
+
+    code_from_user: bool = False
+    prompt_from_user: bool = True
+    is_recursive: bool = False
+
+    # When changing code, remember to change dependencies and is_recursive
+
+    def reset_to_hole(self):
+        self.code = None
+        self.dependencies = []
+        self.code_from_user = False
+        self.is_recursive = False
+
+    def add_dependency(self, name: str):
+        if name not in self.dependencies:
+            self.dependencies.append(name)
+
+    def get_params(self):
+        assert self.code, "Cannot get params for hole"
+        return [arg.arg for arg in self.code.args.args]
+    
+    def rename(self, old_name: str, new_name: str):
+        if old_name in self.dependencies:
+            self.dependencies[self.dependencies.index(old_name)] = new_name
+            renamer = FunRenamer(old_name, new_name)
+            renamer.visit(self.code)
+
+    def clean_dep(self, funs_set: set[str]):
+        self.dependencies = list(filter(lambda x: x in funs_set, self.dependencies))
+    
+    @staticmethod
+    def merge_logic(s: Any, s_from_user: bool, f: Any, f_from_user: bool) -> Any:
+        if f_from_user: return f
+        elif s_from_user: return s
+        elif s: return s
+        else: return f
+    
+    def merge(self, f: 'Function'):
+        # gloden_ios come from user
+        if len(f.gloden_ios) > 0:
+            self.gloden_ios = f.gloden_ios
+
+        self.prompt = self.merge_logic(self.prompt, self.prompt_from_user, f.prompt, f.prompt_from_user)
+        self.prompt_from_user = self.prompt_from_user or f.prompt_from_user
+        
+        self.code = self.merge_logic(self.code, self.code_from_user, f.code, f.code_from_user)
+        self.dependencies = self.merge_logic(self.dependencies, self.code_from_user, f.dependencies, f.code_from_user)
+        self.is_recursive = self.merge_logic(self.is_recursive, self.code_from_user, f.is_recursive, f.code_from_user)
+        self.code_from_user = self.code_from_user or f.code_from_user
+        
+
+class ANPL:
+
+    ENV = ast.parse('''
+import numpy as np
+from collections import namedtuple
+from typing import *
+black, blue, red, green, yellow, grey, pink, orange, teal, maroon = range(10)
+''')
+
+    def __init__(self, funs: dict[str, Function], entry: str):
+        self.funs = funs
+        self.entry = entry
+
+    def find_dependencies(self, name: str) -> list[str]:
+        funs_list, queue = [], [name]
+        while len(queue) != 0:
+            fun = queue.pop(0)
+            if fun in self.funs:
+                funs_list.append(fun)
+                queue.extend(name for name in self.funs[fun].dependencies)
+        return funs_list
+
+    def rename(self, old_name: str, new_name: str):
+        for fun in self.funs.values():
+            fun.rename(old_name, new_name)
+        f = self.funs.pop(old_name)
+        f.name = new_name
+        self.funs[new_name] = f
+
+    def fill_fun(self, name: str, anpl: 'ANPL'):
+        # assert not (len(self.get_holes()) > 0 and len(anpl.get_holes()) > 0), "Both ANPL have holes"
+        self.funs[name].reset_to_hole()
+        if anpl.entry != name:
+            self.rename(name, anpl.entry)
+            name = anpl.entry
+        for newname, newfun in anpl.funs.items():
+            if newname not in self.funs:
+                self.funs[newname] = newfun
+            else:
+                self.funs[newname].merge(newfun)
+        self.clean(self.entry)
+    
+    def clean(self, name: str):
+        assert name in self.funs.keys(), "Cannot find function"
+        remained_funs = [fun_name for fun_name in self.find_dependencies(name)]
+        removed_funs = [fun_name for fun_name in self.funs.keys() if fun_name not in remained_funs]
+        for fun_name in removed_funs:
+            self.funs.pop(fun_name, None)
+        self.entry = name
+
+    def get_holes(self) -> list[str]:
+        return [f.name for f in self.funs.values() if not f.code]
+    
+    def user_known_funs(self) -> list[str]:
+        return [f.name for f in self.funs.values() if f.code_from_user or f.prompt_from_user]
+
+    def to_python(self, name: Optional[str] = None, for_user=False) -> str:
+        funs_name = reversed(self.find_dependencies(name or self.entry))
+        funs = map(lambda x: self.funs[x], funs_name)
+        selected_funs = filter(lambda f: f.code and (f.code_from_user or not for_user), funs)
+        codes = deepcopy(ANPL.ENV)
+        codes.body.extend(f.code for f in selected_funs)
+        # ast.fix_missing_locations(codes) Maybe Useful?
+        return ast.unparse(codes)
+    
\ No newline at end of file

anpl/parser.py

+from .anpl import ANPL, Function
+from typing import Tuple, Optional
+import re
+import ast
+from .sandbox import import_module_from_string
+
+
+class FunctionDef(ast.NodeVisitor):
+
+    @staticmethod
+    def is_hole(node: ast.FunctionDef):
+        """
+        functions with nothing but a signature can not be parsed
+        functions that only have docstring is a hole
+        see cpython ast.py get_docstring
+        """
+        if len(node.body) == 1 and isinstance(node.body[0], ast.Expr):
+            s = node.body[0].value
+            return isinstance(s, ast.Str) or (isinstance(s, ast.Constant) and isinstance(s.value, str))
+        return False
+
+    def __init__(self, undefined_funs: dict[str, Function], from_user: bool):
+        self.defined_funs: dict[str, Function] = {}
+        self.undefined_funs = undefined_funs
+        self.from_user = from_user
+        self.current_caller = None
+
+    def visit_FunctionDef(self, node):
+        if self.is_hole(node):
+            self.undefined_funs[node.name] = Function(node.name, ast.get_docstring(node), code_from_user=False, prompt_from_user=self.from_user)
+        else:
+            self.current_caller = Function(node.name, ast.get_docstring(node), node, code_from_user=self.from_user, prompt_from_user=self.from_user)
+            self.defined_funs[node.name] = self.current_caller
+            self.generic_visit(node)
+        
+    def visit_Call(self, node):
+        # If there is no current_caller, it should be top-level expression to compute some constants.
+        if self.current_caller and isinstance(node.func, ast.Name):
+            func_name = node.func.id
+            if func_name == self.current_caller.name:
+                self.current_caller.is_recursive = True
+            else:
+                self.current_caller.add_dependency(func_name)
+        self.generic_visit(node)
+
+class ANPLParser:
+
+    def __init__(self):
+        self.hole_id = 0
+        self.inline_fun_def_pattern = re.compile(r'(?<=`).+?(?=`)')
+
+    def extract_inline_function_def(self, source_code: str) -> Tuple[str, dict[str, Function]]:
+        inline_funs = list(dict.fromkeys(re.findall(self.inline_fun_def_pattern, source_code)))
+        funs = {}
+        for doc in inline_funs:
+            name = f"_hole{self.hole_id}"
+            self.hole_id += 1
+            funs[name] = Function(name, doc)
+            source_code = source_code.replace(f"`{doc}`", name)
+        return source_code, funs
+    
+    def parse(self, source_code: str, from_user: bool=True) -> ANPL:
+        source_code, undefined_funs = self.extract_inline_function_def(source_code)
+
+        module_node = ast.parse(source_code)
+        visitor = FunctionDef(undefined_funs, from_user)
+        visitor.visit(module_node)
+        defined_funs = visitor.defined_funs
+        funs = undefined_funs | defined_funs
+
+        subfuns = {name for fun in funs.values() for name in fun.dependencies}
+        entries = set(defined_funs.keys()) - subfuns
+        assert len(entries) == 1, "The number of entry is not 1"
+
+        anpl = ANPL(funs, entries.pop())
+        # another check
+        import_module_from_string(anpl.to_python())
+        return anpl
+    
+    def try_parse(self, source_code, from_user=True) -> Optional[ANPL]:
+        old_hole_id = self.hole_id
+        try:
+            return self.parse(source_code, from_user)
+        except Exception as e:
+            print(e)
+            self.hole_id = old_hole_id
+            return None

anpl/sandbox.py

+import importlib
+import functools
+from threading import Thread
+
+def import_module_from_string(source: str):
+    spec = importlib.util.spec_from_loader("arc", loader=None)
+    module = importlib.util.module_from_spec(spec)
+    exec(source, module.__dict__)
+    return module
+
+def timeout(timeout):
+    def deco(func):
+        @functools.wraps(func)
+        def wrapper(*args, **kwargs):
+            res = [Exception('function [%s] timeout [%s seconds] exceeded!' % (
+                func.__name__, timeout))]
+
+            def f():
+                try:
+                    res[0] = func(*args, **kwargs)
+                except Exception as e:
+                    res[0] = e
+            t = Thread(target=f, daemon=True)
+            try:
+                t.start()
+                t.join(timeout)
+            except Exception as e:
+                res[0] = e
+            ret = res[0]
+            if isinstance(ret, BaseException):
+                raise ret
+            return ret
+        return wrapper
+    return deco

anpl/synthesizer.py

+from .anpl import ANPL
+from copy import deepcopy
+import openai
+from openai.error import RateLimitError
+from typing import Optional
+import time
+import re
+ 
+def msg(role: str, content: str): return {"role": role, "content": content}
+
+def is_valid_python_syntax(string):
+    try:
+        compile(string, '<string>', 'exec')
+        return True
+    except SyntaxError:
+        return False
+
+pattern = re.compile(r"```python(.+?)```", flags=re.DOTALL)
+def extract_code(text: str):
+    print(text)
+    codes =[match.strip() for match in re.findall(pattern, text)]
+    if len(codes) > 0:
+        code = "\n".join(codes)
+        if is_valid_python_syntax(code):
+            return code
+    return None
+
+def collect(res: dict): return [extract_code(choice["message"]["content"]) for choice in res["choices"]]
+
+def raw_query(msgs: list[dict], retries=3, **config) -> list[Optional[str]]:
+    for i in range(retries):
+        print("retries")
+        print(i)
+        try:
+            res = openai.ChatCompletion.create(messages=msgs, **config)
+            return res
+        except RateLimitError:
+            if i == retries - 1:
+                raise RateLimitError
+            print("start sleep")
+            time.sleep(20 * (2 ** i))
+            print("sleep end")
+
+def query(msgs: list[dict], retries=3, **config) -> list[Optional[str]]:
+    return collect(raw_query(msgs, retries, **config))
+
+def hole_coder(source_code, hole):
+    system_prompt = 'As a pythonGPT, your task is to complete the unimplemented functions in the given python code, which are referred to as "holes" and are labeled as _hole0, _hole1, _hole2, and so on. Your implementation should align with the code and documentation using Python.'
+    user_prompt = """```python
+{code}
+```
+The function needs to be given a new name. Markdown format should be used to return it.
+```python
+{hole}
+```"""
+    return [msg("system", system_prompt), msg("user", user_prompt.format(code=source_code, hole=hole))]
+
+def hole_resyner(source_code, hole):
+    system_prompt = 'As a pythonGPT, your task is to complete the unimplemented functions in the given python code, which are referred to as "holes". Your implementation should align with the code and documentation using Python.'
+    user_prompt = """```python
+{code}
+```
+Markdown format should be used to return it.
+```python
+{hole}
+```"""
+    return [msg("system", system_prompt), msg("user", user_prompt.format(code=source_code, hole=hole))]
+
+def fun_synthesis(anpl: ANPL, name: str, temp:float = 0) -> Optional[str]:
+    actor = hole_coder if name.startswith("_hole") else hole_resyner
+    msgs = actor(anpl.to_python(), f"# {anpl.funs[name].prompt}\ndef {name}")
+    res = query(msgs, model="gpt-3.5-turbo", max_tokens=1024, temperature=temp)[0]
+    return res
+
+def batch_fun_synthesis(anpl: ANPL, name: str, n:int, temp:float) -> list[Optional[str]]:
+    anpl_for_prompt = deepcopy(anpl)
+    actor = hole_coder if name.startswith("_hole") else hole_resyner
+    anpl_for_prompt.funs[name].reset_to_hole()
+    msgs = actor(anpl_for_prompt.to_python(), f"# {anpl.funs[name].prompt}\ndef {name}")
+    reses = query(msgs, model="gpt-3.5-turbo", max_tokens=1024, n=n, temperature=temp)
+    assert len(reses) == n, "OpenAI doesn't return enough responce"
+    return reses

anpl/tracer.py

+from .anpl import ANPL, IOExample
+import types
+from copy import deepcopy
+import functools
+from .sandbox import import_module_from_string, timeout
+from typing import Optional, Any
+
+class IOCollector:
+
+    def __init__(self, fun_name: str, module):
+        self.ios = []
+        self.fun_name = fun_name
+        self.crash = False
+
+        # Add deco to the function
+        fun = getattr(module, fun_name, None)
+        assert fun and isinstance(fun, types.FunctionType), f"{fun_name} is not a function."
+        setattr(module, fun_name, self.trace(fun))
+
+    def trace(self, func):
+        @functools.wraps(func)
+        def wrapper(*args, **kwargs):
+            names, values = func.__code__.co_varnames[:func.__code__.co_argcount], args
+
+            inputs = {name: value for name, value in zip(names, values)}
+            if kwargs:
+                inputs = inputs | kwargs
+
+            frozen_inputs = deepcopy(inputs)
+            try:
+                output = func(*args, **kwargs)
+            except Exception as e:
+                self.crash = True
+                raise e
+                # TODO Should we show user inputs which caused error?
+                # self.ios.append(IOExample(inputs, None))
+            frozen_output = deepcopy(output)
+            self.ios.append(IOExample(frozen_inputs, frozen_output))
+            return output
+        return wrapper
+
+
+def anpl_trace(anpl: ANPL, fun_name: str, inputs: dict[str, Any], entry: Optional[str] = None) -> IOCollector:
+    assert len(anpl.get_holes()) == 0, "There are still holes in ANPL"
+    module = import_module_from_string(anpl.to_python())
+    io = IOCollector(fun_name, module)
+    entry_point = getattr(module, entry or anpl.entry, None)
+    inputs = deepcopy(inputs) # Important. ANPL Execution should not change the server's env.
+    try:
+        f = timeout(timeout=1)(entry_point)
+        f(**inputs)
+        return io
+    except Exception:
+        return io
+
+def anpl_check(anpl: ANPL, fun_name: str) -> bool:
+    assert len(anpl.funs[fun_name].gloden_ios) > 0
+    for io in anpl.funs[fun_name].gloden_ios:
+        ioc = anpl_trace(anpl, fun_name, io.inputs, fun_name) 
+        if ioc.crash or len(ioc.ios) < 1:
+            return False
+        # if len(ioc.ios) > 1:
+        #     print("This function should be a recursive function because we have collected many ios. Check")
+        real_io = ioc.ios.pop()
+        if not (real_io == io):
+            return False
+    return True
\ No newline at end of file

data/0.json

+{"input": [[7, 0, 7], [7, 0, 7], [7, 7, 0]], "output": [[7, 0, 7, 0, 0, 0, 7, 0, 7], [7, 0, 7, 0, 0, 0, 7, 0, 7], [7, 7, 0, 0, 0, 0, 7, 7, 0], [7, 0, 7, 0, 0, 0, 7, 0, 7], [7, 0, 7, 0, 0, 0, 7, 0, 7], [7, 7, 0, 0, 0, 0, 7, 7, 0], [7, 0, 7, 7, 0, 7, 0, 0, 0], [7, 0, 7, 7, 0, 7, 0, 0, 0], [7, 7, 0, 7, 7, 0, 0, 0, 0]]}
\ No newline at end of file

data/1.json

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data/148.json

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data/149.json

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data/15.json

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data/150.json

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data/151.json

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data/152.json

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data/153.json

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data/154.json

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data/155.json

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data/156.json

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data/175.json

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data/177.json

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data/18.json

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data/182.json

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