Remove stats module

mc_openapi/__main__.py

@@ -17,7 +17,6 @@ from mc_openapi.doml_mc.imc import RequirementStore
 from mc_openapi.doml_mc.intermediate_model.metamodel import MetaModelDocs
 from mc_openapi.doml_mc.mc import ModelChecker
 from mc_openapi.doml_mc.mc_result import MCResult
-from mc_openapi.doml_mc.stats import STATS
 from mc_openapi.doml_mc.xmi_parser.doml_model import get_pyecore_model
 
 parser = argparse.ArgumentParser()
@@ -27,7 +26,6 @@ parser.add_argument("-V", "--doml-version", dest="doml_version", help="(optional
 parser.add_argument("-r", "--requirements", dest="requirements", help="the user-specified requirements file to check")
 parser.add_argument("-p", "--port", dest="port", type=int, default=8080, help="the port exposing the model checker REST API (default: 8080)")
 parser.add_argument("-v", "--verbose", dest="verbose", action='store_true', help="print a detailed human-readable output of everything going on. Helpful for debugging.")
-parser.add_argument("-z", "--stats", dest="stats", action='store_true', help="print stats of Z3 solver")
 # Model Checker
 parser.add_argument("-c", "--check-consistency", dest="consistency", action='store_true', help="check on additional built-in consistency requirements")
 parser.add_argument("-S", "--skip-common-checks", dest="skip_common", action='store_true', help="skip check on common built-in requirements")
@@ -146,9 +144,6 @@ else:
         except RequirementException as e:
             print(e.message)
 
-        if args.stats:
-            STATS.print()
-
     else: # Synthesis
         printv("Running synthesis...")
         

mc_openapi/doml_mc/imc.py

@@ -5,8 +5,6 @@ from typing import Literal
 from z3 import (Context, DatatypeSortRef, ExprRef, FuncDeclRef, Solver,
                 SortRef, sat)
 
-from mc_openapi.doml_mc.stats import STATS
-
 from .intermediate_model.doml_element import IntermediateModel
 from .mc_result import MCResult, MCResults
 from .z3encoding.im_encoding import (assert_im_associations,

mc_openapi/doml_mc/stats/__init__.py

-# Singleton: use this for stats caching/logging like behaviour
-
-import pandas as pd
-
-class Stats:
-    def __init__(self) -> None:
-        self.df = pd.DataFrame(columns=['memory', 'conflicts', 'quant instantiations'])
-    def add(self, stats):
-        keys = ['memory', 'conflicts', 'quant instantiations'] # set(self.df.columns) & set(stats.keys())
-        stats = dict(zip(keys, [stats.get_key_value(x) for x in keys]))
-
-        df2 = pd.DataFrame.from_records(stats, index=[0])
-        self.df = pd.concat([self.df, df2])
-
-    def print(self):
-        print("[STATS]")
-        print(self.df.to_csv(index=False))
-
-STATS = Stats()
\ No newline at end of file