Best Python code snippet using selene_python
cleaba_atter_cal_and_dataSet_create.py
Source:cleaba_atter_cal_and_dataSet_create.py
1import os2from shutil import copyfile3from tqdm import tqdm4import argparse5argparse6parser = argparse.ArgumentParser()7parser.add_argument('--celeba_path', type=str, default='./datasets/CelebA', help='Path to celeba dataset.')8parser.add_argument('--celeba_anno_path', type=str, default='/Anno/list_attr_celeba.txt', help='path to celebe annotation file')9parser.add_argument('--celeba_path_list_eval_partition', type=str, default='/Eval/list_eval_partition.txt', help='path to celebe list_eval_partition')10parser.add_argument('--main_tag', type=str, default='Eyeglasses', help='main annotation to split celeba data by, one of: \'Male\' \'Blond_Hair\' \'Eyeglasses\' \'Gray_Hair\' \'Black_Hair\' \'Brown_Hair\'')11parser.add_argument('--sub_tag', type=str, default='Eyeglasses', help='sub annotation to split celeba data by, one of: \'Male\' \'Blond_Hair\' \'Eyeglasses\' \'Gray_Hair\' \'Black_Hair\' \'Brown_Hair\'')12opts = parser.parse_args()13path = opts.celeba_path14DataPath = os.path.join(path, 'Img/img_align_celeba')15f = open(path + opts.celeba_anno_path, "r")16f_eval = open(path + opts.celeba_path_list_eval_partition, "r")17num_of_images = int(f.readline())18tags = f.readline().split()19print('num of images: ' + str(num_of_images))20print('tags:')21print(str(tags))22tag_to_use_main = opts.main_tag23tag_to_use_sub = opts.sub_tag # 'Male' # 'Blond_Hair' # 'Eyeglasses' # 'Gray_Hair' # 'Black_Hair' #' Brown_Hair'24index_main = tags.index(tag_to_use_main) + 125index_sub = tags.index(tag_to_use_sub) + 126if not os.path.exists(os.path.join(path, tag_to_use_main, tag_to_use_sub, tag_to_use_main, tag_to_use_sub)):27 os.makedirs(os.path.join(path, tag_to_use_main, tag_to_use_sub, tag_to_use_main, tag_to_use_sub))28if not os.path.exists(os.path.join(path, tag_to_use_main, tag_to_use_sub, tag_to_use_main,'not_' + tag_to_use_sub)):29 os.makedirs(os.path.join(path, tag_to_use_main, tag_to_use_sub, tag_to_use_main, 'not_' + tag_to_use_sub))30if not os.path.exists(os.path.join(path, tag_to_use_main, tag_to_use_sub, 'not_' + tag_to_use_main, tag_to_use_sub)):31 os.makedirs(os.path.join(path, tag_to_use_main, tag_to_use_sub, 'not_' + tag_to_use_main, tag_to_use_sub))32if not os.path.exists(os.path.join(path, tag_to_use_main, tag_to_use_sub, 'not_' + tag_to_use_main , 'not_' + tag_to_use_sub)):33 os.makedirs(os.path.join(path, tag_to_use_main, tag_to_use_sub, 'not_' + tag_to_use_main, 'not_' + tag_to_use_sub))34if not os.path.exists(os.path.join(path, tag_to_use_main, tag_to_use_sub, tag_to_use_main, tag_to_use_sub + '_test')):35 os.makedirs(os.path.join(path, tag_to_use_main, tag_to_use_sub, tag_to_use_main, tag_to_use_sub + '_test'))36if not os.path.exists(os.path.join(path, tag_to_use_main,tag_to_use_sub, tag_to_use_main, 'not_' + tag_to_use_sub + '_test')):37 os.makedirs(os.path.join(path, tag_to_use_main, tag_to_use_sub, tag_to_use_main, 'not_' + tag_to_use_sub + '_test'))38if not os.path.exists(os.path.join(path, tag_to_use_main, tag_to_use_sub, 'not_' + tag_to_use_main, tag_to_use_sub + '_test')):39 os.makedirs(os.path.join(path, tag_to_use_main, tag_to_use_sub, 'not_' + tag_to_use_main, tag_to_use_sub + '_test'))40if not os.path.exists(os.path.join(path, tag_to_use_main, tag_to_use_sub, 'not_' + tag_to_use_main, 'not_' + tag_to_use_sub + '_test')):41 os.makedirs(os.path.join(path, tag_to_use_main, tag_to_use_sub, 'not_' + tag_to_use_main, 'not_' + tag_to_use_sub + '_test'))42f_A_1 = open(os.path.join(path, tag_to_use_main, tag_to_use_sub, tag_to_use_main, tag_to_use_sub, tag_to_use_main + '_' + tag_to_use_sub + ".txt"), "w")43f_A_2 = open(os.path.join(path, tag_to_use_main, tag_to_use_sub, tag_to_use_main, tag_to_use_sub, tag_to_use_main + '_not_' + tag_to_use_sub + ".txt"), "w")44f_B_1 = open(os.path.join(path, tag_to_use_main, tag_to_use_sub, 'not_' + tag_to_use_main, tag_to_use_sub, 'not_' + tag_to_use_main + '_' + tag_to_use_sub + ".txt"), "w")45f_B_2 = open(os.path.join(path, tag_to_use_main, tag_to_use_sub, 'not_' + tag_to_use_main, tag_to_use_sub, 'not_' + tag_to_use_main + '_not_' + tag_to_use_sub + ".txt"), "w")46f_all_info = open(os.path.join(path,tag_to_use_main, tag_to_use_sub, tag_to_use_main + '_' + tag_to_use_sub + "_info.txt"), "w")47# print(index_main)48# print(index_sub)49numOf_A_1 = 050numOf_A_2 = 051numOf_B_1 = 052numOf_B_2 = 053for line in tqdm(f, total=num_of_images):54 curr_line = line.split()55 eval_partition = int(f_eval.readline().split()[1])56 addTest = ''57 add_eval = ''58 if eval_partition != 0:59 addTest = '_test'60 add_eval = str(eval_partition) + '_'61 fileEnder = 'png'62 file_name = curr_line[0].split('.')[0] + '.' + fileEnder63 srcFile = DataPath + '/' + file_name64 if int(curr_line[index_main]) == 1:65 if int(curr_line[index_sub]) == 1:66 destFile = os.path.join(path, tag_to_use_main, tag_to_use_sub, tag_to_use_main, tag_to_use_sub + addTest, add_eval + curr_line[0] + '.' + fileEnder)67 numOf_A_1 += 168 f_A_1.write(curr_line[0] + '\n')69 copyfile(srcFile, destFile)70 else:71 destFile = os.path.join(path, tag_to_use_main, tag_to_use_sub, tag_to_use_main, 'not_' + tag_to_use_sub + addTest, add_eval + curr_line[0] + '.' + fileEnder)72 numOf_A_2 += 173 f_A_2.write(curr_line[0] + '\n')74 copyfile(srcFile, destFile)75 else:76 if int(curr_line[index_sub]) == 1:77 destFile = os.path.join(path, tag_to_use_main, tag_to_use_sub, 'not_' + tag_to_use_main, tag_to_use_sub + addTest, add_eval + curr_line[0] + '.' + fileEnder)78 numOf_B_1 += 179 f_B_1.write(curr_line[0] + '\n')80 copyfile(srcFile, destFile)81 else:82 destFile = os.path.join(path, tag_to_use_main, tag_to_use_sub, 'not_' + tag_to_use_main, 'not_' + tag_to_use_sub + addTest, add_eval + curr_line[0] + '.' + fileEnder)83 numOf_B_2 += 184 f_B_1.write(curr_line[0] + '\n')85 copyfile(srcFile, destFile)86tot_A = numOf_A_1 + numOf_A_287tot_B = numOf_B_1 + numOf_B_288print('Total ' + tag_to_use_main + ': ' + str(tot_A))89f_all_info.write('Total ' + tag_to_use_main + ': ' + str(tot_A) + '\n')90print('Total not_' + tag_to_use_main + ': ' + str(tot_B))91f_all_info.write('Total_not ' + tag_to_use_main + ': ' + str(tot_B) + '\n')92print('Total ' + tag_to_use_main + ' + ' + tag_to_use_sub + ': ' + str(numOf_A_1))93f_all_info.write('Total ' + tag_to_use_main + ' + ' + tag_to_use_sub + ': ' + str(numOf_A_1) + '\n')94print('Total ' + tag_to_use_main + ' + not_' + tag_to_use_sub + ': ' + str(numOf_A_2))95f_all_info.write('Total ' + tag_to_use_main + ' + not_' + tag_to_use_sub + ': ' + str(numOf_A_2) + '\n')96print('Total not_' + tag_to_use_main + ' + ' + tag_to_use_sub + ': ' + str(numOf_B_1))97f_all_info.write('Total not_' + tag_to_use_main + ' + ' + tag_to_use_sub + ': ' + str(numOf_B_1) + '\n')98print('Total not_' + tag_to_use_main + ' + not_' + tag_to_use_sub + ': ' + str(numOf_B_2))99f_all_info.write('Total not_' + tag_to_use_main + ' + not_' + tag_to_use_sub + ': ' + str(numOf_B_2) + '\n')100ratio_A_1 = numOf_A_1 / tot_A101ratio_A_2 = numOf_A_2 / tot_A102ratio_B_1 = numOf_B_1 / tot_B103ratio_B_2 = numOf_B_2 / tot_B104ratio_A_1_str = "{:.3f}".format(ratio_A_1)105ratio_A_2_str = "{:.3f}".format(ratio_A_2)106ratio_B_1_str = "{:.3f}".format(ratio_B_1)107ratio_B_2_str = "{:.3f}".format(ratio_B_2)108f_all_info.write('---------------------------\n')109print(tag_to_use_main + ' : ' + tag_to_use_sub + '/not_' + tag_to_use_sub + ' : ' + ratio_A_1_str + '/' + ratio_A_2_str)110f_all_info.write(tag_to_use_main + ' : ' + tag_to_use_sub + '/not_' + tag_to_use_sub + ' : ' + ratio_A_1_str + '/' + ratio_A_2_str + '\n')111print('not_' + tag_to_use_main + ' : ' + tag_to_use_sub + '/not_' + tag_to_use_sub + ' : ' + ratio_B_1_str + '/' + ratio_B_2_str)112f_all_info.write('not_' + tag_to_use_main + ' : ' + tag_to_use_sub + '/not_' + tag_to_use_sub + ' : ' + ratio_B_1_str + '/' + ratio_B_2_str + '\n')113f.close()114f_eval.close()115f_A_1.close()116f_A_2.close()117f_B_1.close()118f_B_2.close()...
not_.py
Source:not_.py
1import warnings2from typing import Any3from core.utils.selene.core import match as _match4from core.utils.selene.core.condition import Condition5from core.utils.selene.core.entity import Element, Collection, Browser6visible: Condition[[], Element] = _match.element_is_visible.not_7hidden: Condition[[], Element] = _match.element_is_hidden.not_8present: Condition[[], Element] = _match.element_is_present.not_9in_dom: Condition[[], Element] = _match.element_is_present.not_10existing: Condition[[], Element] = _match.element_is_present.not_11absent: Condition[[], Element] = _match.element_is_absent.not_12enabled: Condition[[], Element] = _match.element_is_enabled.not_13disabled: Condition[[], Element] = _match.element_is_disabled.not_14blank: Condition[[], Element] = _match.element_is_blank.not_15def exact_text(value) -> Condition[[], Element]:16 return _match.element_has_exact_text(value).not_17def text(partial_value) -> Condition[[], Element]:18 return _match.element_has_text(partial_value).not_19def attribute(name: str, value: str = None):20 if value:21 warnings.warn(22 'passing second argument is deprecated; use have.attribute(foo).value(bar) instead',23 DeprecationWarning,24 )25 return _match.element_has_attribute(name).value(value).not_26 original = _match.element_has_attribute(name)27 negated = original.not_28 def value(self, expected: str, ignore_case=False) -> Condition[[], Element]:29 return original.value(expected, ignore_case).not_30 def value_containing(31 self, expected: str, ignore_case=False32 ) -> Condition[[], Element]:33 return original.value_containing(expected, ignore_case).not_34 def values(self, *expected: str) -> Condition[[], Collection]:35 return original.values(*expected).not_36 def values_containing(self, *expected: str) -> Condition[[], Collection]:37 return original.values_containing(*expected).not_38 negated.value = value39 negated.value_containing = value_containing40 negated.values = values41 negated.values_containing = values_containing42 return negated43def js_property(name: str, value: str = None):44 if value:45 warnings.warn(46 'passing second argument is deprecated; use have.js_property(foo).value(bar) instead',47 DeprecationWarning,48 )49 return _match.element_has_js_property(name).value(value).not_50 original = _match.element_has_js_property(name)51 negated = original.not_52 def value(self, expected: str) -> Condition[[], Element]:53 return original.value(expected).not_54 def value_containing(self, expected: str) -> Condition[[], Element]:55 return original.value_containing(expected).not_56 def values(self, *expected: str) -> Condition[[], Collection]:57 return original.values(*expected).not_58 def values_containing(self, *expected: str) -> Condition[[], Collection]:59 return original.values_containing(*expected).not_60 negated.value = value61 negated.value_containing = value_containing62 negated.values = values63 negated.values_containing = values_containing64 return negated65def css_property(name: str, value: str = None):66 if value:67 warnings.warn(68 'passing second argument is deprecated; use have.css_property(foo).value(bar) instead',69 DeprecationWarning,70 )71 return _match.element_has_css_property(name).value(value).not_72 original = _match.element_has_css_property(name)73 negated = original.not_74 def value(self, expected: str) -> Condition[[], Element]:75 return original.value(expected).not_76 def value_containing(self, expected: str) -> Condition[[], Element]:77 return original.value_containing(expected).not_78 def values(self, *expected: str) -> Condition[[], Collection]:79 return original.values(*expected).not_80 def values_containing(self, *expected: str) -> Condition[[], Collection]:81 return original.values_containing(*expected).not_82 negated.value = value83 negated.value_containing = value_containing84 negated.values = values85 negated.values_containing = values_containing86 return negated87def value(text) -> Condition[[], Element]:88 return _match.element_has_value(text).not_89def value_containing(partial_text) -> Condition[[], Element]:90 return _match.element_has_value_containing(partial_text).not_91def css_class(name) -> Condition[[], Element]:92 return _match.element_has_css_class(name).not_93def tag(name: str) -> Condition[[], Element]:94 return _match.element_has_tag(name).not_95def tag_containing(name: str) -> Condition[[], Element]:96 return _match.element_has_tag_containing(name).not_97def size(number: int) -> Condition[[], Collection]:98 return _match.collection_has_size(number).not_99def size_less_than(number: int) -> Condition[[], Collection]:100 return _match.collection_has_size_less_than(number).not_101def size_less_than_or_equal(number: int) -> Condition[[], Collection]:102 return _match.collection_has_size_less_than_or_equal(number).not_103def size_greater_than(number: int) -> Condition[[], Collection]:104 return _match.collection_has_size_greater_than(number).not_105def size_at_least(number: int) -> Condition[[], Collection]:106 warnings.warn(107 'might be deprecated; use have.size_greater_than_or_equal instead',108 PendingDeprecationWarning,109 )110 return _match.collection_has_size_greater_than_or_equal(number).not_111def size_greater_than_or_equal(number: int) -> Condition[[], Collection]:112 return _match.collection_has_size_greater_than_or_equal(number).not_113def texts(*partial_values: str) -> Condition[[], Collection]:114 return _match.collection_has_texts(*partial_values).not_115def exact_texts(*values: str) -> Condition[[], Collection]:116 return _match.collection_has_exact_texts(*values).not_117def url(exact_value: str) -> Condition[[], Browser]:118 return _match.browser_has_url(exact_value).not_119def url_containing(partial_value: str) -> Condition[[], Browser]:120 return _match.browser_has_url_containing(partial_value).not_121def title(exact_value: str) -> Condition[[], Browser]:122 return _match.browser_has_title(exact_value).not_123def title_containing(partial_value: str) -> Condition[[], Browser]:124 return _match.browser_has_title_containing(partial_value).not_125def tabs_number(value: int) -> Condition[[], Browser]:126 return _match.browser_has_tabs_number(value).not_127def tabs_number_less_than(value: int) -> Condition[[], Browser]:128 return _match.browser_has_tabs_number_less_than(value).not_129def tabs_number_less_than_or_equal(value: int) -> Condition[[], Browser]:130 return _match.browser_has_tabs_number_less_than_or_equal(value).not_131def tabs_number_greater_than(value: int) -> Condition[[], Browser]:132 return _match.browser_has_tabs_number_greater_than(value).not_133def tabs_number_greater_than_or_equal(value: int) -> Condition[[], Browser]:134 return _match.browser_has_tabs_number_greater_than_or_equal(value).not_135def js_returned_true(script_to_return_bool: str) -> Condition[[], Browser]:136 warnings.warn(137 'might be deprecated; use have.js_returned(True, ...) instead',138 PendingDeprecationWarning,139 )140 return _match.browser_has_js_returned(True, script_to_return_bool).not_141def js_returned(expected: Any, script: str, *args) -> Condition[[], Browser]:...
results.py
Source:results.py
...33avg std min max3496706.3 2651.17 80156 9806235100318 1131.11 91302 10094036100649 1752.85 87910 10176237and_(or_(and_(IN9, or_(IN5, IN3)), and_(or_(and_(or_(and_(IN13, IN12), not_(not_(IN8))), IN16), and_(or_(and_(not_(not_(IN8)), or_(IN2, IN4)), or_(and_(and_(or_(and_(IN7, or_(IN3, IN3)), IN10), or_(and_(and_(not_(not_(IN8)), and_(or_(and_(IN7, or_(and_(IN7, or_(IN3, IN3)), not_(IN8))), IN10), or_(IN5, IN4))), IN16), IN2)), IN16), and_(or_(and_(not_(not_(IN1)), or_(IN2, and_(IN7, or_(or_(IN3, IN5), or_(and_(IN2, IN4), IN10))))), IN15), or_(IN12, and_(IN6, IN11))))), or_(IN2, and_(IN7, or_(or_(IN3, IN5), or_(and_(IN2, IN4), IN10)))))), or_(and_(or_(and_(IN7, or_(and_(IN7, or_(IN3, IN3)), or_(and_(IN6, IN8), IN10))), IN10), or_(IN5, IN4)), and_(or_(and_(or_(IN4, not_(not_(IN8))), IN16), and_(or_(and_(not_(not_(IN8)), or_(IN7, IN4)), IN15), or_(not_(not_(and_(IN13, IN3))), and_(IN6, IN11)))), IN12)))), or_(and_(or_(or_(and_(IN2, IN4), IN10), IN15), or_(not_(not_(and_(IN13, IN12))), and_(IN6, IN11))), or_(and_(and_(or_(and_(IN7, or_(IN3, IN3)), IN10), or_(and_(and_(or_(and_(IN7, or_(IN3, IN3)), IN13), and_(or_(and_(IN7, or_(and_(IN7, or_(IN3, IN3)), not_(IN8))), IN10), or_(and_(or_(and_(IN7, or_(and_(IN7, or_(IN3, IN3)), not_(IN8))), IN10), or_(IN5, IN4)), IN4))), IN16), IN2)), IN16), and_(or_(and_(not_(not_(IN1)), or_(IN2, and_(IN7, or_(or_(IN3, IN5), or_(and_(IN2, IN4), IN10))))), IN15), or_(not_(not_(IN8)), and_(IN6, IN11))))))3898445.8 491.316 95088 988623992616.2 2998.54 74400 938804096612.7 3473.9 73164 984344196469.9 1417.88 87818 976344298469.3 2206.32 87930 996764397442.4 2274.31 83064 98402...
text_preprocessing.py
Source:text_preprocessing.py
1from nltk.stem import SnowballStemmer2stemmer = SnowballStemmer('english')3def _coll_neg(text):4 text = text.replace("n't", " not")5 text = text.replace(" dont ", " do_not_")6 text = text.replace(" isnt ", " is not_")7 text = text.replace("not ", "not_")8 text = text.replace("'", "")9 #text = text.replace("dont ", "dont_")10 # won't -> will not11 # 's not -> is not_12 # "isnt" -> is not_13 # "wasnt" -> was not_14 # is not -> is not_15 # don't -> do not_16 # doesn't -> does not_17 # ("n't" -> " not_")18 return text19def add_negation(texts):20 return map(_coll_neg, texts)21def stem(text):22 text = text.lower()23 text = [' '.join(map(stemmer.stem, text.split()))]...
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