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How to use look_like method in Sure

Best Python code snippet using sure_python

_grammar_transformer_spec.py

Source:_grammar_transformer_spec.py

...17        '# Example with comments.'18    """)19    assignment = node.body[-1]20    expect(assignment).to(be_a(ast.Expr))21    expect(to_source(assignment)).to(look_like(expected))22  with it('preserves comment indentation'):23    program = """24      with indented:25        # Example is indented.26    """27    node = _grammar_transformer.transform(program)28    expected = goal('''29      with indented:30        """# Example is indented."""31    ''')32    assignment = node.body[-1]33    expect(assignment).to(be_a(ast.With))34    expect(to_source(assignment)).to(look_like(expected))35  with description('visit_Module'):36    with it('prepends header'):37      node = _grammar_transformer.transform('')38      expect(node.body).to(have_len(3))39  with description('dimension definitions'):40    with it('detects dimension = a, b, c'):41      node = _grammar_transformer.transform('name <= {a, b, c}')42      expected = goal("""43          a, b, c = name = dimensions(['name', ['a', 'b', 'c']])44      """)45      assignment = node.body[-1]46      expect(assignment).to(be_a(ast.Assign))47      expect(to_source(assignment)).to(look_like(expected))48    with it('detects dimension = 1, 2, 3'):49      node = _grammar_transformer.transform('name <= {1, 2, 3}')50      expected = goal("""51          _1, _2, _3 = name = dimensions(['name', [1, 2, 3]])52      """)53      assignment = node.body[-1]54      expect(assignment).to(be_a(ast.Assign))55      expect(to_source(assignment)).to(look_like(expected))56    with it('detects dimension = "a", "b c", "d e f"'):57      node = _grammar_transformer.transform('name <= {"a", "b c", "d e f"}')58      expected = goal("""59          a, b_c, d_e_f = name = dimensions(['name', ['a', 'b c', 'd e f']])60      """)61      assignment = node.body[-1]62      expect(assignment).to(be_a(ast.Assign))63      expect(to_source(assignment)).to(look_like(expected))64    with it('detects dimension using "in" keyword'):65      node = _grammar_transformer.transform('name in {a, b, c}')66      expected = goal("""67          a, b, c = name = dimensions(['name', ['a', 'b', 'c']])68      """)69      assignment = node.body[-1]70      expect(assignment).to(be_a(ast.Assign))71      expect(to_source(assignment)).to(look_like(expected))72    with it('supports *N repeats as shorthand'):73      node = _grammar_transformer.transform('name in {a, b, c*3}')74      expected = goal("""75          a, b, c, c, c = name = dimensions(['name', ['a', 'b', 'c', 'c', 'c']])76      """)77      assignment = node.body[-1]78      expect(assignment).to(be_a(ast.Assign))79      expect(to_source(assignment)).to(look_like(expected))80    with it('supports cross-product dimensions'):81      node = _grammar_transformer.transform('(a, b) in ({x, y}, {1, 2, 3})')82      expected = goal("""83          (x1, x2, x3, y1, y2, y3), _ = a, b = a_b = dimensions(84              ['a', ['x', 'y']],85              ['b', [1, 2, 3]],86          )87      """)88      assignment = node.body[-1]89      expect(assignment).to(be_a(ast.Assign))90      expect(to_source(assignment)).to(look_like(expected))91    with it('supports dimensions with counts'):92      node = _grammar_transformer.transform('a in 3*{x, y, z}')93      expected = goal("""94          x, y, z = a = dimensions(95              ['a', 3, ['x', 'y', 'z']],96          )97      """)98      assignment = node.body[-1]99      expect(assignment).to(be_a(ast.Assign))100      expect(to_source(assignment)).to(look_like(expected))101    with it('detects dimension created from networkx graphs'):102      node = _grammar_transformer.transform("""103        import networkx104        position in networkx.icosahedral_graph()105      """)106      expected = goal("""107        position = dimensions(['position', networkx.icosahedral_graph()])108      """)109      assignment = node.body[-1]110      expect(assignment).to(be_a(ast.Assign))111      expect(to_source(assignment)).to(look_like(expected))112    with it('detects dimension created from other calls'):113      node = _grammar_transformer.transform("""114        position in range(26)115      """)116      expected = goal("""117        position = dimensions(['position', range(26)])118      """)119      assignment = node.body[-1]120      expect(assignment).to(be_a(ast.Assign))121      expect(to_source(assignment)).to(look_like(expected))122    with it('compiles dimensions'):123      node = _grammar_transformer.transform('name <= {1, Ex, "Multi Word"}')124      expect(calling(compile, node, '<string>', 'exec')).not_to(raise_error)125    with it('registers dimension references'):126      transformer = _grammar_transformer._GrammarTransformer()127      parsed = ast.parse('name <= {1, Ex, "Multi Word"}')128      transformer.visit(parsed)129      actual = {}130      for reference, node in transformer._references.items():131        expect(node).to(be_a(ast.Name))132        actual[reference] = node.id133      expect(actual).to(equal({134        'name': 'name',135        '_1': '_1',136        'ex': 'ex',137        'multi_word': 'multi_word'138      }))139  with description('variable definitions'):140    with it('creates variables from `bool`'):141      node = _grammar_transformer.transform('foo is bool')142      expected = goal("""143          foo = variable('foo')144      """)145      assignment = node.body[-1]146      expect(assignment).to(be_a(ast.Assign))147      expect(to_source(assignment)).to(look_like(expected))148    with it('creates variables from `range(N)`'):149      node = _grammar_transformer.transform('foo is range(10)')150      expected = goal("""151          foo = variable(10, 'foo')152      """)153      assignment = node.body[-1]154      expect(assignment).to(be_a(ast.Assign))155      expect(to_source(assignment)).to(look_like(expected))156    with it('creates variables from `range(N, M)`'):157      node = _grammar_transformer.transform('foo is range(1, 10)')158      expected = goal("""159          foo = variable(1, 10, 'foo')160      """)161      assignment = node.body[-1]162      expect(assignment).to(be_a(ast.Assign))163      expect(to_source(assignment)).to(look_like(expected))164  with description('rewrite'):165    with it('free tuples into multi-line expressions'):166      node = _grammar_transformer.transform('A, B, C')167      expected = goal("""168          A169          B170          C171      """)172      node.body = node.body[-3:]173      expect(to_source(node)).to(look_like(expected))174    with it('multi-variable comparisons into pairwise comparisons'):175      node = _grammar_transformer.transform('A > B > C')176      expected = goal("""177          model(A > B)178          model(B > C)179      """)180      node.body = node.body[-2:]181      expect(to_source(node)).to(look_like(expected))182    with it('set equality into group equality'):183      node = _grammar_transformer.transform("""184        {A, B, C} == {X, Y, Z}185      """)186      expected = goal("""187        for __x in {A, B, C}:188          model(sum(__x[__y] for __y in {X, Y, Z}) == 1)189      """)190      node = node.body[-1]191      expect(to_source(node)).to(look_like(expected))192    with it('set equality into group equality, different sized lists'):193      node = _grammar_transformer.transform("""194        {A, B, C} == {X}195      """)196      expected = goal("""197        for __x in {X}:198          model(sum(__x[__y] for __y in {A, B, C}) == 1)199      """)200      node = node.body[-1]201      expect(to_source(node)).to(look_like(expected))202    with it('set equality into group inequality, different sized lists'):203      node = _grammar_transformer.transform("""204        {A} != {X, Y, Z}205      """)206      expected = goal("""207        for __x in {A}:208          model(sum(__x[__y] for __y in {X, Y, Z}) != 1)209      """)210      node = node.body[-1]211      expect(to_source(node)).to(look_like(expected))212  with description('model constraints'):213    with it('constrains A == B'):214      node = _grammar_transformer.transform('A == B')215      expected = goal("""216          model(A == B)217      """)218      assignment = node.body[-1]219      expect(assignment).to(be_a(ast.Expr))220      expect(to_source(assignment)).to(look_like(expected))221    with it('constrains A or B or C or D'):222      node = _grammar_transformer.transform('A or B or C or D')223      expected = goal("""224          model(A ^ B ^ C ^ D)225      """)226      assignment = node.body[-1]227      expect(assignment).to(be_a(ast.Expr))228      expect(to_source(assignment)).to(look_like(expected))229    with it('constrains A and B and C and D'):230      node = _grammar_transformer.transform('A and B and C and D')231      expected = goal("""232          model(A & B & C & D)233      """)234      assignment = node.body[-1]235      expect(assignment).to(be_a(ast.Expr))236      expect(to_source(assignment)).to(look_like(expected))237    with it('constrains A & B'):238      node = _grammar_transformer.transform('A & B')239      expected = goal("""240          model(A & B)241      """)242      assignment = node.body[-1]243      expect(assignment).to(be_a(ast.Expr))244      expect(to_source(assignment)).to(look_like(expected))245    with it('constrains simple function calls'):246      node = _grammar_transformer.transform('abs(A - B)')247      expected = goal("""248          model(abs(A - B))249      """)250      assignment = node.body[-1]251      expect(assignment).to(be_a(ast.Expr))252      expect(to_source(assignment)).to(look_like(expected))253    with it('constrains complex function calls'):254      node = _grammar_transformer.transform('any([A, B])')255      expected = goal("""256          model(any([A, B]))257      """)258      assignment = node.body[-1]259      expect(assignment).to(be_a(ast.Expr))260      expect(to_source(assignment)).to(look_like(expected))261    with it('constrains for loop body'):262      node = _grammar_transformer.transform("""263        for a in range(5):264          a < b265      """)266      expected = goal("""267        for a in range(5):268          model(a < b)269      """)270      assignment = node.body[-1]271      expect(assignment).to(be_a(ast.For))272      expect(to_source(assignment)).to(look_like(expected))273  with description('if'):274    with it('converts if->then statements'):275      node = _grammar_transformer.transform('if A: B')276      expected = goal("""277        if "A":278          model(A <= B)279      """)280      assignment = node.body[-1]281      expect(assignment).to(be_a(ast.If))282      expect(to_source(assignment)).to(look_like(expected))283    with it('converts if->then/else statements'):284      node = _grammar_transformer.transform("""285        if A:286          B287        else:288          C289      """)290      expected = goal("""291        if "A":292          model(A <= B)293          model(A + C >= 1)294      """)295      result = node.body[-1]296      expect(result).to(be_a(ast.If))297      expect(to_source(result)).to(look_like(expected))298    with it('converts if->then/else statements with longer bodies'):299      node = _grammar_transformer.transform("""300        if A:301          B1302          B2303        else:304          C1305          C2306      """)307      expected = goal("""308        if "A":309          model(A <= B1 & B2)310          model(A + (C1 & C2) >= 1)311      """)312      assignment = node.body[-1]313      expect(assignment).to(be_a(ast.If))314      expect(to_source(assignment)).to(look_like(expected))315    with it('supports if/else assignments'):316      node = _grammar_transformer.transform("""317        if A:318          x = 1319        else:320          x = 2321      """)322      expected = goal("""323        if "A":324          x = (A == True) * 1 + (A == False) * 2325      """)326      assignment = node.body[-1]327      expect(assignment).to(be_a(ast.If))328      expect(to_source(assignment)).to(look_like(expected))329    with it('supports if/else mixed condition and assignments'):330      node = _grammar_transformer.transform("""331        if A:332          A > B333          x = 1334        else:335          x = 2336      """)337      expected = goal("""338        if "A":339          x = (A == True) * 1 + (A == False) * 2340          model(A <= (A > B))341      """)342      assignment = node.body[-1]343      expect(assignment).to(be_a(ast.If))344      expect(to_source(assignment)).to(look_like(expected))345    with it('supports nested if statements'):346      node = _grammar_transformer.transform("""347        if A:348          if B:349            if C:350              x == 3351            else:352              x == 2353          else:354            x == 1355        else:356          x == 0357      """)358      expected = goal("""359        if 'A':360          model(A <= (B <= (C <= (x == 3)) & (C + (x == 2) >= 1)) & (B + (x == 1) >= 1)361              )362          model(A + (x == 0) >= 1)363      """)364      assignment = node.body[-1]365      expect(assignment).to(be_a(ast.If))366      expect(to_source(assignment)).to(look_like(expected))367    with it('supports if statements in generators'):368      node = _grammar_transformer.transform("""369        all(implication[i] for i in range(10) if condition) 370      """)371      expected = goal("""372        model(all(condition <= implication[i] for i in range(10)))373      """)374      assignment = node.body[-1]375      expect(assignment).to(be_a(ast.Expr))376      expect(to_source(assignment)).to(look_like(expected))377  with description('reference aliases'):378    with it('no-op for well-defined references'):379      node = _grammar_transformer.transform("""380        name <= {andy, bob, cynthia}381        color <= {red, green, blue}382        andy == red383      """)384      expected = goal("""385          model(andy == red)386      """)387      assignment = node.body[-1]388      expect(assignment).to(be_a(ast.Expr))389      expect(to_source(assignment)).to(look_like(expected))390    with it('rewrites string references'):391      node = _grammar_transformer.transform("""392        name <= {andy, bob, cynthia}393        color <= {red, green, 'sky blue'}394        andy == 'sky blue' and bob != sky_blue395      """)396      expected = goal("""397          model((andy == sky_blue) & (bob != sky_blue))398      """)399      assignment = node.body[-1]400      expect(assignment).to(be_a(ast.Expr))401      expect(to_source(assignment)).to(look_like(expected))402    with it('matches alias references'):403      node = _grammar_transformer.transform("""404        key <= {'space case', 'kebab-case', snake_case, CamelCase}405        'space case' != 'kebab-case' != 'snake_case' != 'CamelCase'406      """)407      expected = goal("""408        model(space_case != kebab_case)409        model(kebab_case != snake_case)410        model(snake_case != camelcase)411      """)412      node.body = node.body[-3:]413      expect(to_source(node)).to(look_like(expected))414  with description('visit_With'):415    with it('ignores constraints inside of `with init`: blocks'):416      node = _grammar_transformer.transform("""417        with init:418          a = []419          for a, b in foo:420            local_variable = 'value'421            a.append(name)422      """)423      expected = goal("""424        with init:425          a = []426          for a, b in foo:427            local_variable = 'value'428            a.append(name)429      """)430      assignment = node.body[-1]431      expect(assignment).to(be_a(ast.With))432      expect(to_source(assignment)).to(look_like(expected))433    with it('ignores if statements inside of `with init`: blocks'):434      node = _grammar_transformer.transform("""435        with init:436          if some_condition:437            a = 1438          else:439            a = 2440      """)441      expected = goal("""442        with init:443          if some_condition:444            a = 1445          else:446            a = 2447      """)448      assignment = node.body[-1]449      expect(assignment).to(be_a(ast.With))...

main.py

Source:main.py

1import docx2import os3import re4import nltk5from fuzzywuzzy import fuzz6from fuzzywuzzy import process7from nltk.corpus import stopwords8nltk.download('punkt')9nltk.download('stopwords')10paths = str(input("ÐÐ²ÐµÐ´Ð¸ÑÐµ Ð¿ÑÑÑ Ðº ÑÐ°Ð¹Ð»Ñ\n"))11folder = os.getcwd()12for root, dirs, files in os.walk(folder):13    for file in files:14        if file.endswith('docx') and not file.startswith('~'):15            paths.append(os.path.join(root, file))16for path in paths:17    doc = docx.Document(paths)18    19text = []20for paragraph in doc.paragraphs:21    text.append(paragraph.text)22for table in doc.tables:23    for row in table.rows:24        for cell in row.cells:25            text.append(cell.text)26bad_chars = [';', ':', '!', '*', 'â', '$', '%', '^', '&', '?', '*', ')', '(', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9' '-', '+', '_', '+', '{', '}', '[', ']', '/', '.', ',', '<', '>']27text = '_'.join(text)28stop_words = set(stopwords.words("russian")) #ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ðµ ÑÐ¿Ð¸ÑÐºÐ° Ð½Ð° Ð½ÐµÐ¶ÐµÐ»Ð°ÑÐµÐ»ÑÐ½ÑÑ ÑÐ»Ð¾Ð²29keyword = [         #ÑÐ¿Ð¸ÑÐ¾Ðº ÐºÐ»ÑÑÐµÐ²ÑÑ ÑÐ»Ð¾Ð²30    [ÐÐ½ÑÐµÐ»Ð»ÐµÐºÑ, Ð¸ÑÐºÑÑÑÐ²ÐµÐ½, ÐÐ, ÐÐµÐ¹ÑÐ¾Ð½, Ð¼Ð°ÑÐ¸Ð½, Ð¾Ð±ÑÑÐµÐ½, ÑÐ°Ð·Ð²Ð¸Ñ, Ð¿Ð¾Ð´ÑÐ¾Ð´, Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼, Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑÑÐ»Ñ, ÑÐ¿Ð¾ÑÐ¾Ð±Ð½, ÑÐ°Ð¼, Ð¸ÑÐ¿Ð¾Ð»ÑÐ·, Ð¼Ð¾Ð·Ð³, Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐº],31    [ÑÐµÑÐ½Ð¾Ð»Ð¾Ð³,ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐº,Ð¿ÑÐ¾Ð´ÑÐºÑ,Ð¿ÑÐ¾ÑÐµÑÑ,ÑÐ¸Ð¼Ð¸ÑÐµÑÐº,ÑÐµÑÐ½Ð¸Ðº,Ð¼ÐµÑÐ°Ð»Ð»,Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ°,ÑÑÐµÐ´ÑÑÐ²,ÑÑÑÐ¾Ð¸ÑÐµÐ»ÑÐ½ÑÑÐ²,ÐºÐ¾ÑÐ¼Ð¸ÑÐµÑÐº,Ð¿ÑÐ°ÐºÑÐ¸ÑÐµÑÐº,Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½,Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´ÑÑÐ²,Ð¼Ð°ÑÐµÑÐ¸Ð°Ð»,ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½,Ð½Ð°ÑÑÐ½,Ð½Ð°ÑÑÐ½Ð¾-ÑÐµÑÐ½Ð¸ÑÐµÑÐº,Ð´ÐµÑÑÐµÐ»ÑÐ½],32    [ÑÐ¾Ð±Ð¾ÑÐ¾ÑÐµÑÐ½Ð¸Ðº,ÑÐ¾Ð±Ð¾Ñ,ÑÐ°Ð·Ð²Ð¸Ñ,ÑÐµÐ½ÑÐ¾ÑÐ¸Ðº,Ð¾Ð±Ð»Ð°ÑÑ,ÑÑÐ±ÑÐµÑÐ½Ð¾Ð»Ð¾Ð³,ÑÐµÐ½ÑÐ¾Ñ,ÑÐ¸ÑÑÐ¾Ð²,Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐº,Ð¸Ð½ÑÐ¾ÑÐ¼Ð°Ñ,Ð²Ð·Ð°Ð¸Ð¼Ð¾Ð´ÐµÐ¹ÑÑÐ²,ÑÐµÐ»Ð¾Ð²ÐµÐº,Ð¿ÑÐ¾ÑÐ¼Ð¾ÑÑ,Ð´Ð°ÑÑÐ¸Ðº,Ð¿Ð¾,Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½,Ð¿ÑÐ¾ÐµÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½,Ð¼ÐµÑÐ°Ð½Ð¸ÑÐµÑÐº,ÑÑÐ½Ð¾Ðº,Ð¸Ð½Ð½Ð¾Ð²Ð°ÑÐ¸Ð¾Ð½,Ð¿ÑÐ¾Ð¼ÑÑÐ»],33    [Ð¡ÑÐµÐ´ÑÑÐ²,Ð¸Ð½ÑÐµÑÐ½ÐµÑ, ÑÐµÑ,Ð²ÐµÑ,ÐºÐ¾Ð½ÑÐµÐ¿,ÑÑÑÑÐ¾Ð¹ÑÑÐ²,Ð±ÐµÑÐ¿ÑÐ¾Ð²Ð¾Ð´Ð½,Ð¸Ð½Ð´ÐµÐ½ÑÐ¸ÑÐ¸ÐºÐ°Ñ,ÑÐ¸Ð·Ð¸Ñ,ÑÑÐ¾Ð²Ð½,Ð¿ÑÐ¸Ð±Ð¾Ñ,ÐºÐ¾Ð¼Ð¿Ð°Ð½,ÑÐµÐ°Ð»ÑÐ½,Ð±ÑÐ´ÑÑ,ÑÐ°Ð·Ð²Ð¸Ñ,ÑÐ°Ð¼ÑÑÑÐ¾Ð½,Ð´ÐµÐ½ÑÐ³,ÑÐ¾Ð²Ð°Ñ,Ð±ÐµÐ·Ð¾Ð¿Ð°ÑÐ½,ÑÐ¾Ð²Ð°Ñ,Ð´Ð¸ÑÑ],34    [5g,3g,4g,ÑÐµÑ,ÑÐ²ÑÐ·,ÑÐµÑÐ½Ð¾Ð»Ð¾Ð³, Ð¼Ð¾Ð±Ð¸Ð»ÑÐ½,ÑÐºÐ¾ÑÐ¾ÑÑ,ÑÐ°ÑÑÐ¾Ñ,ÑÑÑÑÐ¾Ð¹ÑÑÐ²,Ð´Ð¸Ð°Ð¿Ð°Ð·Ð¾Ð½,Ð¿ÐµÑÐµÐ´Ð°Ñ,Ð¸Ð½ÑÐµÑÐ½ÐµÑ,Ð¾Ð¿ÐµÑÐ°ÑÐ¾Ñ,Ð·Ð°Ð´ÐµÑÐ¶Ðº,Ð¼ÑÐ´Ð»,Ð¿Ð¾ÐºÐ¾Ð»ÐµÐ½,ÑÐ¾ÑÐ¾Ð²,ÑÑÐ°Ð½Ñ,Ð±Ð°Ð·Ð¾Ð²,Ð°Ð½ÑÐµÐ½,Ð²Ð¾Ð»Ð½,LTE,ÐÐÑ],35    [ÑÐµÑÐ½Ð¾Ð»Ð¾Ð³,Ð¸Ð½ÑÐ¾ÑÐ¼Ð°Ñ,Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¾Ð½,ÐºÐ¾Ð¼Ð¼ÑÐ½Ð¸ÐºÐ°Ñ,Ð¿ÑÐ¾ÑÐ¾ÐºÐ¾Ð»,Ð¿ÐµÑÐµÐ´Ð°Ñ,ÑÐ¾Ð²ÑÐµÐ¼ÐµÐ½,Ð¿ÑÐ¾ÑÐµÑÑ,Ð¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÐµÐ»,ÑÐµÑÐ²ÐµÑ,ÑÐ»ÐµÐºÑÑÐ¾Ð½,ÑÐ¾ÑÐ¸Ð°Ð»ÑÐ½,ÑÐ¾Ð¾Ð±ÑÐµÐ½,ÑÐµÑÑÑÑ,Ð¾Ð±ÐµÑÐ¿ÐµÑÐ¸Ð²Ð°,Ð¾Ð±ÑÐ°Ð·Ð¾Ð²Ð°Ð½,Ð¾Ð±ÑÑÐµÐ½,Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¾Ð½Ð½Ð¾,ÐºÐ¾Ð¼Ð¼ÑÐ½Ð¸ÐºÐ°ÑÐ¸Ð¾Ð½,ÐºÐ¾Ð¼Ð¼ÑÐ½Ð¸ÐºÐ°ÑÐ¸Ð²Ð½,ÑÐµÑÐµÐ²,Ð±ÐµÑÐ¿ÑÐ¾Ð²Ð¾Ð´Ð½],36    [ÑÐµÐ°Ð»ÑÐ½Ð¾ÑÑ,Ð²Ð¸ÑÑÑÐ°Ð»ÑÐ½,vr,Ð´Ð¾Ð¿Ð¾Ð»Ð½ÐµÐ½,Ð¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÐµÐ»,ÑÐµÐ°Ð»ÑÐ½,ar,Ð¾Ð±ÑÐµÐºÑ,Ð¾Ð±ÑÑÐµÐ½,Ð¿Ð¾Ð·Ð²Ð¾Ð»Ñ,ÑÑÐµÑ,vr/ar,Ð¿Ð¾Ð³ÑÑÐ¶ÐµÐ½,Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½,Ð¸Ð½ÑÐ¾ÑÐ¼Ð°Ñ,Ð²Ð·Ð°Ð¸Ð¼Ð¾Ð´ÐµÐ¹ÑÑÐ²,Ð¿ÑÐ¾ÑÑÑÐ°Ð½ÑÑÐ²,Ð¸Ð³Ñ,reality,ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½,ÑÐ¼Ð°ÑÑÑÐ¾Ð½,Ð´Ð¾Ð¿Ð¾Ð»Ð½Ð¸ÑÐµÐ»ÑÐ½],37    [Ð±Ð»Ð¾ÐºÑÐµÐ¹Ð½,ÑÐµÐµÑÑÑ,ÑÐµÑ,ÑÐµÑÐ½Ð¾Ð»Ð¾Ð³,ÑÐ°ÑÐ¿ÑÐµÐ´ÐµÐ»ÐµÐ½,ÑÑÐ°Ð½Ð·Ð°ÐºÑ,ÐºÐ¾Ð½ÑÐµÐ½ÑÑÑ,Ð±Ð»Ð¾Ðº,ibm,ÐºÐ¾Ð¼Ð¿Ð°Ð½,Ð±ÐµÐ·Ð¾Ð¿Ð°ÑÐ½,Ð±Ð°Ð·,ÐºÐ»ÑÑ,Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼,ÑÐ¸Ð½Ð°Ð½ÑÐ¾Ð²,ÐºÑÐ¸Ð¿Ñ,hyperledger,Ð´ÐµÑÐµÐ½ÑÑÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°,ÑÑÐ°Ð½,ÐºÑÐ¸Ð¿ÑÐ¾Ð²Ð°Ð»ÑÑ,ÐºÑÐ¸Ð¿Ñ,dlt],38    [ÐºÐ²Ð°Ð½Ñ, ÐºÑÐ¸Ð¿ÑÐ¾Ð³ÑÐ°Ñ, ÑÐ¾ÑÐ¾Ð½, ÐºÐ¾ÑÑÑÐ¸ÑÐ¸ÐµÐ½Ñ, Ð¿Ð¾Ð»ÑÑÐ¸Ð·Ð°Ñ, Ð¼Ð¾Ð´ÑÐ», ÐºÐ¾Ð¼Ð¼ÑÐ½Ð¸ÐºÐ°Ñ, ÑÐ°Ð±Ð¾Ñ, ÑÐµÑÐ½Ð¾Ð»Ð¾Ð³, ÑÐ¸ÑÑÐ¾Ð²Ð°Ð½, Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼],39    [ÐºÐ²Ð°Ð½Ñ, ÐºÐ²Ð°Ð´ÑÐ°ÑÐ¸ÑÐµÑÐº, ÑÐµÐ½ÑÐ¾Ñ, Ð¸Ð·Ð¼ÐµÑÐµÐ½, Ð¸Ð·Ð¼ÐµÑÐ¸ÑÐµÐ»ÑÐ½, Ð²ÐµÐ»Ð¸ÑÐ¸Ð½, Ð²ÑÑÐ¾ÐºÐ¾ÑÐ¾ÑÐ½, Ð¾ÑÐ½Ð¾ÑÐ¸ÑÐµÐ»ÑÐ½, ÑÑÐ¿ÐµÑÐ¿Ð¾Ð·Ð¸Ñ, ÑÐµÑÐ½Ð¾Ð»Ð¾Ð³],40    [ÐºÑÐ±Ð¸Ñ, ÐºÐ²Ð°Ð½Ñ, ÐºÐ²Ð°Ð½ÑÐ¾Ð², ÑÑÐ¿ÐµÑÐ¿Ð¾Ð·Ð¸Ñ, Ð²ÑÑÐ¸ÑÐ»Ð¸ÑÐµÐ»ÑÐ½, Ð´ÐµÑÐµÑÐ¼Ð¸Ð½Ð¸ÑÐ¾Ð²Ð°, Ð¼Ð½Ð¾Ð³Ð¾ÐºÑÐ±Ð¸ÑÐ½, Ð²ÐµÑÐ¾ÑÑÐ½, ÑÐºÑÐ¿Ð¾Ð½ÐµÐ½ÑÐ¸Ð°Ð»ÑÐ½, ÑÐ»ÐµÐºÑÑÐ¾Ð½, ÑÐ¾ÑÐ¾Ð½],41     42    ]43words = nltk.word_tokenize(text)44without_stop_words = [word for word in words if not word in stop_words]45without_stop_words = '_'.join(without_stop_words)46for i in bad_chars : 47    without_stop_words = without_stop_words.replace(i, ' ')48MainText = f'List of Words ={without_stop_words.split()}'49FileTheame = int(input(ÐÐ²ÐµÐ´Ð¸ÑÐµ ÑÐµÐ¼Ñ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ñ)) #Ð²Ð²Ð¾Ð´ ÑÐµÐ¼Ñ Ð´Ð»Ñ ÑÐºÐ°Ð½Ð°50      51look_like_proc = 0 #ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ðµ Ð¿ÐµÑÐµÐ¼ÐµÐ½Ð½Ð¾Ð¹ ÑÐ¾Ð¾ÑÐ²ÐµÑÑÑÐ²Ð¸Ñ52    53for i in keyword:       #Ð¿Ð¾Ð»ÑÑÐµÐ½Ð¸Ðµ Ð¿ÑÐ¾ÑÐµÐ½ÑÐ° ÑÐ¾Ð¾ÑÐ²ÐµÑÐ²Ð¸Ñ54    for j in MainText:55        look_like = fuzz.ratio(keyword[FileTheame[i]], MainText[j])56        if look_like > 40:57            look_like_proc += 100/len(keyword)...

test_validation.py

Source:test_validation.py

...41        response = client.describe_scalable_targets(42            ServiceNamespace=DEFAULT_SERVICE_NAMESPACE, ScalableDimension="foo",43        )44        err.response["Error"]["Code"].should.equal("ValidationException")45        err.response["Error"]["Message"].split(":")[0].should.look_like(46            "1 validation error detected"47        )48        err.response["ResponseMetadata"]["HTTPStatusCode"].should.equal(400)49@mock_applicationautoscaling50def test_describe_scalable_targets_with_invalid_service_namespace_should_return_validation_exception():51    client = boto3.client("application-autoscaling", region_name=DEFAULT_REGION)52    with assert_raises(ClientError) as err:53        response = client.describe_scalable_targets(54            ServiceNamespace="foo", ScalableDimension=DEFAULT_SCALABLE_DIMENSION,55        )56        err.response["Error"]["Code"].should.equal("ValidationException")57        err.response["Error"]["Message"].split(":")[0].should.look_like(58            "1 validation error detected"59        )60        err.response["ResponseMetadata"]["HTTPStatusCode"].should.equal(400)61@mock_applicationautoscaling62def test_describe_scalable_targets_with_multiple_invalid_parameters_should_return_validation_exception():63    client = boto3.client("application-autoscaling", region_name=DEFAULT_REGION)64    with assert_raises(ClientError) as err:65        response = client.describe_scalable_targets(66            ServiceNamespace="foo", ScalableDimension="bar",67        )68        err.response["Error"]["Code"].should.equal("ValidationException")69        err.response["Error"]["Message"].split(":")[0].should.look_like(70            "2 validation errors detected"71        )72        err.response["ResponseMetadata"]["HTTPStatusCode"].should.equal(400)73@mock_ecs74@mock_applicationautoscaling75def test_register_scalable_target_ecs_with_non_existent_service_should_return_validation_exception():76    client = boto3.client("application-autoscaling", region_name=DEFAULT_REGION)77    resource_id = "service/{}/foo".format(DEFAULT_ECS_CLUSTER)78    with assert_raises(ClientError) as err:79        register_scalable_target(client, ServiceNamespace="ecs", ResourceId=resource_id)80        err.response["Error"]["Code"].should.equal("ValidationException")81        err.response["Error"]["Message"].should.equal(82            "ECS service doesn't exist: {}".format(resource_id)83        )...

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