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How to use stack_top method in fMBT

Best Python code snippet using fMBT_python

parser.py

Source:parser.py

1from assets import *2from anytree import Node, RenderTree3from codegen import Codegen 4import re5class Tree:6    def __init__(self, root):7        self.root_node = Node(root)8        self.last_node = self.root_node9        self.indexes_stack = []10        self.fathers = []11        12    def add_node(self, stack_len, node_name, father=None, token_type=None):13        if not father:14            self.pop(stack_len)15            father = self.last_node16        if token_type:17            node = Node(f"({token_type}, {node_name})", parent=father)18        else: 19            node = Node(node_name, parent=father)20        return node21    def pop(self, stack_len):22        if not self.indexes_stack or stack_len != self.indexes_stack[-1]: return23        self.last_node = self.fathers.pop()24        self.indexes_stack.pop()25    def push(self, len_terms, stack_len, grandpa):26        if len_terms <= 0: return27        self.indexes_stack.extend(range(stack_len, stack_len + len_terms))28        self.fathers.extend(len_terms * [grandpa])29    30    def __str__(self):31        tree_string = ''32        for pre, _, node in RenderTree(self.root_node.children[0]):33            tree_string += f"{pre}{node.name}\n"34        return tree_string35class Parser:36    def __init__(self, scanner, **paths):37        self.scanner = scanner38        self.syntax_errors = []39        first_dict = self.get_first_dict(path=paths.get('firsts', 'Firsts.csv'))40        follow_dict = self.get_follow_dict(path=paths.get('follows', 'Follows.csv'))41        grammar_tuples = self.get_grammar_tuple(path=paths.get('grammar', 'Grammar.csv'))42        predict_list = self.get_predict_list(path=paths.get('predicts', 'Predicts.csv'))43        start_symbol = grammar_tuples[0][0]44        self.parse_table = self.get_parse_table(grammar_tuples, first_dict, follow_dict, predict_list)45        self.non_terminals = first_dict.keys()46        self._advance_input = True47        self.stack = [start_symbol]48        self.tree = Tree(start_symbol)49        self.codegen = Codegen()50    def parse(self):51        void_type = False52        args = []53        while True:54            if self._advance_input:55                lookahead, lexeme, token_type, line_no = self._get_valid_token()56                # print(f'lookahead={lookahead}, lexeme={lexeme}, token_type={token_type}, line_no={line_no}')57                if lookahead is None and lexeme is None:58                    return59            self.codegen.save_program_block()60            stack_top = self.stack[-1]61            # print(self.stack, lexeme)62            if stack_top in self.non_terminals:63                self._fetch_rules(stack_top, lookahead, line_no)64            elif stack_top == lookahead:65                self.stack.pop()66                if stack_top == EOF:67                    self.tree.add_node(len(self.stack), EOF)68                    self.codegen.save_program_block()69                    return70                self.tree.add_node(len(self.stack), lexeme, token_type=token_type)71                self._advance_input = True72            elif lookahead == EOF:73                pass74            elif re.match('^#\w+$', stack_top):75                # print(stack_top, args)76                self.stack.pop()77                self.tree.add_node(len(self.stack), stack_top)78                if stack_top == '#jp_break':79                    self.codegen.generate(stack_top, line_no)80                elif stack_top == '#type':81                    void_type = lexeme == 'void'82                    args.append(void_type)83                elif stack_top == '#pid':84                    args.append(lexeme)85                    args.append(line_no)86                    self.codegen.generate(stack_top, args)87                    if len(args) == 2:88                        args = []89                elif stack_top in ['#var', '#save_arr']:90                    self.codegen.generate(stack_top, args)91                    args = []92                elif stack_top == '#pnum_arr':93                    args.append(lexeme)94                    self.codegen.generate('#pnum', lexeme)95                elif stack_top in ["#arg", '#function_call']:96                    self.codegen.generate(stack_top, line_no)97                elif stack_top in ['#remove_fun_args']:98                    args = []99                elif stack_top == '#fun_declarated':100                    self.codegen.generate(stack_top)101                    args = []102                elif stack_top in ['#param_arr' , '#param_var']:103                    self.codegen.generate(stack_top)104                    args = []105                elif stack_top[1:] in self.codegen.arg_actions:106                    self.codegen.generate(stack_top, lexeme)107                else:108                    self.codegen.generate(stack_top)109                self._advance_input = False110            else:111                self.stack.pop()112                self._advance_input = False113                self._add_error(line_no, 'missing', stack_top)114                self.tree.add_node(len(self.stack), lexeme, token_type=token_type)115    def _fetch_rules(self, stack_top, lookahead, line_no):116        rules = self.next_term(stack_top, lookahead)117        if rules == 'synch':118            self.stack.pop()119            self._add_error(line_no, 'missing', stack_top)120            self._advance_input = False121        elif rules == '':122            if lookahead == EOF:123                self._add_error(line_no, 'unexpected', 'EOF')124            else:125                self._add_error(line_no, 'illegal', lookahead)126            self._advance_input = True127        elif rules == [EPSILON]:128            self.stack.pop()129            father = self.tree.add_node(len(self.stack), stack_top)130            self.tree.add_node(len(self.stack), 'epsilon', father=father)131            self._advance_input = False132        else:133            self.stack.pop()134            self._push_rules(rules, stack_top)135            self._advance_input = False136    def _push_rules(self, rules, stack_top):137        stack_len = len(self.stack)138        new_node = self.tree.add_node(stack_len, stack_top)139        self.stack.extend(reversed(rules))140        self.tree.push(len(rules), stack_len, new_node)141    def _add_error(self, line_no, error_type, argument):142        msg = f'#{str(line_no+1)} : syntax_error, {error_type} {argument}'143        self.syntax_errors.append(msg)144    def is_terminal(self, term):145        return not term in self.non_terminals and not term == EOF146    def _get_valid_token(self):147        invalid_token = True  # whitespace and comment are not valid tokens148        while invalid_token:149            lexeme, token_type, line_no = self.scanner.get_next_token()150            if token_type in ['KEYWORD', 'SYMBOL'] or not token_type:151                lookahead = lexeme152                invalid_token = False153            elif token_type in ['WHITESPACE', 'COMMENT']:154                pass155            else:156                invalid_token = False157                lookahead = token_type158        return lookahead, lexeme, token_type, line_no159    def write_parse_tree_to_file(self):160        with open('parse_tree.txt', 'w') as parse_tree_file:161            parse_tree_file.writelines(str(self.tree))162    def get_first_dict(self, path):163        res = {}164        with open(path, 'r') as first_file:165            for line in first_file.readlines():166                words = line.strip().split(' ')167                res[words[0]] = words[1:]168        return res169    def get_follow_dict(self, path):170        res = {}171        with open(path, 'r') as follow_file:172            for line in follow_file.readlines():173                words = line.strip().split(' ')174                res[words[0]] = words[1:]175        return res176    def get_predict_list(self, path):177        res = []178        with open(path, 'r') as predict_file:179            for line in predict_file.readlines():180                words = line.strip().split(' ')181                res.append(words) 182        return res183    def get_grammar_tuple(self, path):184        res = []185        with open(path, 'r') as grammar_file:186            for line in grammar_file.readlines():187                words = line.strip().split(' ')188                res.append((words[0], words[1:])) 189        return res190    def get_parse_table(self, grammar, first, follow, predict):191        parse_table = {nt:{} for nt in first.keys()}192        for (non_terminal, grammars), predicts in zip(grammar, predict):193            for terminal in predicts:194                parse_table[non_terminal][terminal] = grammars195        for non_terminal, follows in follow.items():196            for terminal in follows:197                if terminal in parse_table[non_terminal]: continue198                parse_table[non_terminal][terminal] = SYNCH199        return parse_table200    def next_term(self, non_terminal, terminal):201        try:202            return self.parse_table[non_terminal][terminal]203        except:204            return ''205    # TODO: remove! (JUST FOR TESTS) 206    # def print_and_save_parse_table(self, path='parse_table.txt'):207    #     import pandas as pd208    #     df = pd.DataFrame(self.parse_table).T209    #     df.fillna('', inplace=True)210    #     df.to_csv(path)211    #     print(df)212    def write_syntax_errors_to_file(self):213        res = []214        if len(self.syntax_errors) == 0:215            with open('syntax_errors.txt', 'w') as file:216                file.writelines('There is no syntax error.')217                return218        for i in self.syntax_errors:219            res.append(i + '\n')220        with open('syntax_errors.txt', 'w') as file:...

ch3_topdown_parser.py

Source:ch3_topdown_parser.py

1"""2A simple top-down parser.3"""4import pyactr as actr5actr.chunktype("parsing_goal", "stack_top stack_bottom parsed_word task")6actr.chunktype("sentence", "word1 word2 word3")7actr.chunktype("word", "form, cat")8parser = actr.ACTRModel()9dm = parser.decmem10g = parser.goal11imaginal = parser.set_goal(name="imaginal", delay=0.2)12dm.add(actr.chunkstring(string="""13    isa word14    form 'Mary'15    cat 'ProperN'16"""))17dm.add(actr.chunkstring(string="""18    isa word19    form 'Bill'20    cat 'ProperN'21"""))22dm.add(actr.chunkstring(string="""23    isa word24    form 'likes'25    cat 'V'26"""))27g.add(actr.chunkstring(string="""28    isa parsing_goal29    task parsing30    stack_top 'S'31"""))32imaginal.add(actr.chunkstring(string="""33    isa sentence34    word1 'Mary'35    word2 'likes'36    word3 'Bill'37"""))38parser.productionstring(name="expand: S ==> NP VP", string="""39    =g>40    isa parsing_goal41    task parsing42    stack_top 'S'43    ==>44    =g>45    isa parsing_goal46    stack_top 'NP'47    stack_bottom 'VP'48""")49parser.productionstring(name="expand: NP ==> ProperN", string="""50    =g>51    isa parsing_goal52    task parsing53    stack_top 'NP'54    ==>55    =g>56    isa parsing_goal57    stack_top 'ProperN'58""")59parser.productionstring(name="expand: VP ==> V NP", string="""60    =g>61    isa parsing_goal62    task parsing63    stack_top 'VP'64    ==>65    =g>66    isa parsing_goal67    stack_top 'V'68    stack_bottom 'NP'69""")70parser.productionstring(name="retrieve: ProperN", string="""71    =g>72    isa parsing_goal73    task parsing74    stack_top 'ProperN'75    =imaginal>76    isa sentence77    word1 =w178    ==>79    =g>80    isa parsing_goal81    task retrieving82    +retrieval>83    isa word84    form =w185""")86parser.productionstring(name="retrieve: V", string="""87    =g>88    isa parsing_goal89    task parsing90    stack_top 'V'91    =imaginal>92    isa sentence93    word1 =w194    ==>95    =g>96    isa parsing_goal97    task retrieving98    +retrieval>99    isa word100    form =w1101""")102parser.productionstring(name="scan: word", string="""103    =g>104    isa parsing_goal105    task retrieving106    stack_top =y107    stack_bottom =x108    =retrieval>109    isa word110    form =w1111    cat =y112    =imaginal>113    isa sentence114    word1 =w1115    word2 =w2116    word3 =w3117    ==>118    =g>119    isa parsing_goal120    task printing121    stack_top =x122    stack_bottom empty123    parsed_word =w1124    =imaginal>125    isa sentence126    word1 =w2127    word2 =w3128    word3 empty129    ~retrieval>130""")131parser.productionstring(name="print parsed word", string="""132    =g>133    isa parsing_goal134    task printing135    =imaginal>136    isa sentence137    word1 ~empty138    ==>139    !g>140    show parsed_word141    =g>142    isa parsing_goal143    task parsing144    parsed_word None145""")146parser.productionstring(name="done", string="""147    =g>148    isa parsing_goal149    task printing150    =imaginal>151    isa sentence152    word1 empty153    ==>154    =g>155    isa parsing_goal156    task done157    !g>158    show parsed_word159    ~imaginal>160    ~g>161""")162if __name__ == "__main__":163    parser_sim = parser.simulation()164    parser_sim.run()165    print("\nDeclarative memory at the end of the simulation:")...

stack.py

Source:stack.py

1import numpy as np23class CoordinateStack:4    def __init__(self,size):5        self.stack = np.empty((2,size),dtype=np.int32)6        self.stack_top=07        self.size=size8    def push(self,x,y):9        if (self.stack_top < self.size):10            self.stack[0,self.stack_top] = x11            self.stack[1,self.stack_top] = y12            self.stack_top+=113            return True14        else:15            return False16    def pop(self):17        if (self.stack_top==0):18            return None, None19        else:20            x, y = self.stack[0,self.stack_top], self.stack[1,self.stack_top]21            self.stack_top-=122            return x, y 23    def __cost(self,a,b):24        return abs(self.stack[0,a]-self.stack[0,b]) + abs(self.stack[1,a]-self.stack[1,b])25    def __minKey(self,key,included):26        min = 100000027        for v in range(self.stack_top):28            if (included[v]==False) and self.__cost(key,v) < min:29                min = self.__cost(key,v)30                min_index = v31                if min==1:return min_index32        return min_index33    def func(self):34        print("making func")35        included = np.zeros(self.size,dtype=bool)36        final_func = CoordinateStack(self.stack_top)37        current_pos = 038        final_func.push(self.stack[0,current_pos],self.stack[1,current_pos])39        included[current_pos]=True40        count=141        while (count < self.stack_top):42            print(count,"/",self.stack_top,end="\r")43            current_pos = self.__minKey(current_pos,included)44            final_func.push(self.stack[0,current_pos],self.stack[1,current_pos])45            included[current_pos]=True46            count+=147        print("")
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