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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("ÐведиÑе пÑÑÑ Ðº ÑайлÑ\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")) #Ñоздание ÑпиÑка на нежелаÑелÑнÑÑ
Ñлов29keyword = [ #ÑпиÑок клÑÑевÑÑ
Ñлов30 [ÐнÑеллекÑ, иÑкÑÑÑвен, ÐÐ, ÐейÑон, маÑин, обÑÑен, ÑазвиÑ, подÑ
од, алгоÑиÑм, инÑеллекÑÑлÑ, ÑпоÑобн, Ñам, иÑполÑз, мозг, обÑабоÑк],31 [ÑеÑ
нолог,ÑазÑабоÑк,пÑодÑкÑ,пÑоÑеÑÑ,Ñ
имиÑеÑк,ÑеÑ
ник,меÑалл,обÑабоÑка,ÑÑедÑÑв,ÑÑÑоиÑелÑнÑÑв,коÑмиÑеÑк,пÑакÑиÑеÑк,опÑеделен,пÑоизводÑÑв,маÑеÑиал,ÑпÑавлен,наÑÑн,наÑÑно-ÑеÑ
ниÑеÑк,деÑÑелÑн],32 [ÑобоÑоÑеÑ
ник,ÑобоÑ,ÑазвиÑ,ÑенÑоÑик,облаÑÑ,ÑÑбÑеÑ
нолог,ÑенÑоÑ,ÑиÑÑов,обÑабоÑк,инÑоÑмаÑ,взаимодейÑÑв,Ñеловек,пÑоÑмоÑÑ,даÑÑик,по,моделиÑован,пÑоекÑиÑован,меÑ
аниÑеÑк,ÑÑнок,инноваÑион,пÑомÑÑл],33 [СÑедÑÑв,инÑеÑнеÑ, ÑеÑ,веÑ,конÑеп,ÑÑÑÑойÑÑв,беÑпÑоводн,инденÑиÑикаÑ,ÑизиÑ,ÑÑовн,пÑибоÑ,компан,ÑеалÑн,бÑдÑÑ,ÑазвиÑ,ÑамÑÑÑон,денÑг,ÑоваÑ,безопаÑн,ÑоваÑ,диÑÑ],34 [5g,3g,4g,ÑеÑ,ÑвÑз,ÑеÑ
нолог, мобилÑн,ÑкоÑоÑÑ,ÑаÑÑоÑ,ÑÑÑÑойÑÑв,диапазон,пеÑедаÑ,инÑеÑнеÑ,опеÑаÑоÑ,задеÑжк,мÑдл,поколен,ÑоÑов,ÑÑанÑ,базов,анÑен,волн,LTE,ÐÐÑ],35 [ÑеÑ
нолог,инÑоÑмаÑ,инÑоÑмаÑион,коммÑникаÑ,пÑоÑокол,пеÑедаÑ,ÑовÑемен,пÑоÑеÑÑ,полÑзоваÑел,ÑеÑвеÑ,ÑлекÑÑон,ÑоÑиалÑн,ÑообÑен,ÑеÑÑÑÑ,обеÑпеÑива,обÑазован,обÑÑен,инÑоÑмаÑионно,коммÑникаÑион,коммÑникаÑивн,ÑеÑев,беÑпÑоводн],36 [ÑеалÑноÑÑ,виÑÑÑалÑн,vr,дополнен,полÑзоваÑел,ÑеалÑн,ar,обÑекÑ,обÑÑен,позволÑ,ÑÑеÑ,vr/ar,погÑÑжен,пÑименен,инÑоÑмаÑ,взаимодейÑÑв,пÑоÑÑÑанÑÑв,игÑ,reality,компÑÑÑеÑн,ÑмаÑÑÑон,дополниÑелÑн],37 [блокÑейн,ÑееÑÑÑ,ÑеÑ,ÑеÑ
нолог,ÑаÑпÑеделен,ÑÑанзакÑ,конÑенÑÑÑ,блок,ibm,компан,безопаÑн,баз,клÑÑ,алгоÑиÑм,ÑинанÑов,кÑипÑ,hyperledger,деÑенÑÑализова,Ñ
Ñан,кÑипÑовалÑÑ,кÑипÑ,dlt],38 [кванÑ, кÑипÑогÑаÑ, ÑоÑон, коÑÑÑиÑиенÑ, полÑÑизаÑ, модÑл, коммÑникаÑ, ÑабоÑ, ÑеÑ
нолог, ÑиÑÑован, алгоÑиÑм],39 [кванÑ, квадÑаÑиÑеÑк, ÑенÑоÑ, измеÑен, измеÑиÑелÑн, велиÑин, вÑÑокоÑоÑн, оÑноÑиÑелÑн, ÑÑпеÑпозиÑ, ÑеÑ
нолог],40 [кÑбиÑ, кванÑ, кванÑов, ÑÑпеÑпозиÑ, вÑÑиÑлиÑелÑн, деÑеÑминиÑова, многокÑбиÑн, веÑоÑÑн, ÑкÑпоненÑиалÑн, ÑлекÑÑон, ÑоÑон],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(ÐведиÑе ÑÐµÐ¼Ñ Ð¿ÑогÑаммÑ)) #ввод ÑÐµÐ¼Ñ Ð´Ð»Ñ Ñкана50 51look_like_proc = 0 #Ñоздание пеÑеменной ÑооÑвеÑÑÑвиÑ52 53for i in keyword: #полÑÑение пÑоÑенÑа ÑооÑвеÑвиÑ54 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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