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How to use get_all_labels method in autotest
Best Python code snippet using autotest_python
views.py
Source:views.py 
...16from .utils import resolve_file_name17from .utils import resolve_report18# Create your views here.19def index(request):20 return render(request, 'index.html', {"Labels": get_all_labels()})21def gallery(request, label):22 file_list = os.listdir(osp.join(osp.join(settings.BASE_DIR, "ImagesDB"), label))23 file_list = list(map(lambda item: r"/static/" + label + r"/" + item, file_list))24 return render(request, 'gallery.html', {"File": file_list, "Labels": get_all_labels()})25def gallery2(request):26 return render(request, 'index.html', {"File": get_all_labels()})27def slider(request):28 files = get_all_images()29 # print(files.shape)30 return render(request, 'slider.html', {"Labels": get_all_labels(), "File": files})31def overview(request):32 return render(request, 'overview.html', {"Labels": get_all_labels()})33def upload(request, is_single):34 if is_single == "single":35 return render(request, 'upload_s.html', {"Labels": get_all_labels()})36 else:37 return render(request, 'upload_m.html', {"Labels": get_all_labels()})38def classify(request):39 return render(request, "classify.html", {"Labels": get_all_labels()})40def classify_result(request):41 return render(request, "classify.html", {"Labels": get_all_labels()})42 # result = process_classify()43 # return render(request, "results_cls.html", {"Labels": get_all_labels(), "Results": result})44def train(request):45 form = TrainForm()46 return render(request, "train.html", {"Labels": get_all_labels(), "Form": form})47def validate(request):48 return render(request, "validate.html", {"Labels": get_all_labels()})49def dashboard(request):50 return render(request, 'dashboard.html', {"Labels": get_all_labels()})51def grids(request):52 return render(request, 'grids.html', {"Labels": get_all_labels()})53def media(request):54 return render(request, 'media.html', {"Labels": get_all_labels()})55def general(request):56 return render(request, 'general.html', {"Labels": get_all_labels()})57def typography(request):58 return render(request, 'typography.html', {"Labels": get_all_labels()})59def widgets(request):60 return render(request, 'widgets.html', {"Labels": get_all_labels()})61def inbox(request):62 return render(request, 'inbox.html', {"Labels": get_all_labels()})63def compose(request):64 return render(request, 'compose.html', {"Labels": get_all_labels()})65def tables(request):66 return render(request, 'tables.html', {"Labels": get_all_labels()})67def forms(request):68 return render(request, 'forms.html', {"Labels": get_all_labels()})69def validation(request):70 return render(request, 'validation.html', {"Labels": get_all_labels()})71def login(request):72 return render(request, 'login.html', {"Labels": get_all_labels()})73def signup(request):74 return render(request, 'signup.html', {"Labels": get_all_labels()})75def blank_page(request):76 return render(request, 'blank-page.html', {"Labels": get_all_labels()})77def charts(request):78 return render(request, 'charts.html', {"Labels": get_all_labels()})79# ç³»ç»å¤çé»è¾80def update_image_label(request):81 """82 æ´æ°å¾çç±»å«83 :param request: {oldURL: "æè°/zhanjian_01.jpg", newLabel: "å¦å
"}84 :return:85 """86 old_url = request.POST.get("oldURL").split("/")87 filename = old_url[1]88 old_label = old_url[0]89 new_label = request.POST.get("newLabel")90 old_url = osp.join(osp.join(osp.join(settings.BASE_DIR, "ImagesDB"), old_label), filename)91 new_url = osp.join(osp.join(osp.join(settings.BASE_DIR, "ImagesDB"), new_label), filename)92 if osp.exists(new_url):93 new_url = osp.splitext(new_url)[0] + ".1" + osp.splitext(new_url)[1]94 os.rename(old_url, new_url)95 response = {"status": 0}96 return JsonResponse(response)97def get_input_file_single(request):98 """99 è·åä¸ä¼ çå¾çï¼è¯¥æ¹æ³ä¸ºæç±»å«ä¸ä¼ çå¤çé»è¾100 :param request:101 :return:102 """103 response = {"status": 0}104 if request.method == "POST":105 label = request.POST.get("label")106 file_data = request.FILES.get(r"image_file", "没æå¾ç")107 filename = file_data.name108 file_path = osp.join(osp.join(settings.BASE_DIR, "media"), filename)109 write2disk(file_path, file_data)110 shutil.move(file_path, osp.join(osp.join(osp.join(settings.BASE_DIR, "ImagesDB"), label), filename))111 return JsonResponse(response)112def get_input_file_multiple(request):113 """114 æ¥æ¶ä¸ä¼ ç.zipæ件ï¼ä¿è¯æ件类åæ£ç¡®115 :param request:116 :return:117 """118 response = {"status": 0}119 if request.method == "POST":120 file_data = request.FILES.get(r"image_file_zip", "没ææ°æ®")121 file_name = file_data.name122 file_path = osp.join(osp.join(settings.BASE_DIR, "media"), file_name)123 write2disk(file_path, file_data)124 shutil.unpack_archive(file_path, osp.splitext(file_path)[0])125 return JsonResponse(response)126def delete_image(request):127 """128 å é¤å¾ç129 :param request: 130 :return: 131 """132 response = {"status": 0}133 label, filename = resolve_file_name(request.POST.get("file_path"))134 file_path = osp.join(osp.join(osp.join(settings.BASE_DIR, "ImagesDB"), label), filename)135 print(file_path)136 # os.remove(file_path)137 return JsonResponse(response)138def get_classify_image(request):139 """140 ä¿åå¾
æ 注çä¸ä¼ å¾å141 :param request:142 :return:143 """144 response = {"status": 0}145 if request.method == "POST":146 file_data = request.FILES.get(r"image", "没æå¾ç")147 filename = file_data.name148 file_path = osp.join(osp.join(settings.BASE_DIR, "media"), filename)149 write2disk(file_path, file_data)150 return JsonResponse(response)151def process_classify(request):152 """153 è¿è¡æ 注æä½å¹¶è¿åç»æ154 :param request:155 :return: [{156 "name": å¾çå称,157 "path": å¾çè·¯å¾,158 "probs": å10个类çæ¦ç{159 "ç±»å«1": æ¦ç1, .....160 }161 },162 {},...]163 """164 labels = [item["label"] for item in get_all_labels()]165 result = []166 image_nums = 10167 image_names = np.random.randint(1, 11000, 100)168 for name in image_names:169 item = {}170 item["name"] = str(name)171 item["path"] = "/static/å¦å
/tank_1.jpg"172 item["probs"] = {}173 for label in labels:174 prob = round(np.random.random() * 100, 2)175 item["probs"][label] = prob176 result.append(item)177 content = render_to_string("results_cls.html", {"Results": result})178 return HttpResponse(content)179def process_classify_1_by_1(request):180 images = ["tank_1.jpg", "zhishengji_1.jpg"]181 labels = ["å¦å
", "ç´åæº"]182 probs = [{"å¦å
": 97.35, "导弹": 2.79, "æ¥æª": 1.90, "æææº": 0.09, "æ½æ°´è": 0.03},183 {"ç´åæº": 87.23, "æææº": 1.98, "é·è¾¾": 0.82, "æé·": 0.05, "ææª": 0.02}]184 result = []185 for idx, name in enumerate(images):186 prob = sorted(probs[idx].items(), key=lambda item: item[1], reverse=True)187 content = render_to_string("results_cls_v2.html",188 {"name": name, "path": "/static/{}/{}".format(labels[idx], name), "probs": prob[:5]})189 result.append(content)190 return HttpResponse("".join(result))191 # image = request.POST.get("image", "没æå¾ç")192 # labels = [item["label"] for item in get_all_labels()]193 # probs = {label: round(np.random.random() * 100, 2) for label in labels}194 # probs = sorted(probs.items(), key=lambda item: item[1], reverse=True)195 # content = render_to_string("results_cls_v2.html", {"name": image, "path": "/static/å¦å
/tank_10.jpg", "probs": probs[:5]})196 # return HttpResponse(content)197def process_train(request):198 print(request.POST)199 form = TrainForm(request.POST)200 if form.is_valid():201 epochs = form.cleaned_data['epochs']202 batch_size = form.cleaned_data['batch_size']203 training_rate = form.cleaned_data['training_rate']204 decay_step = form.cleaned_data['decay_step']205 decay_rate = form.cleaned_data['decay_rate']206 layer = form.cleaned_data['layer']207 bottle_nodes = form.cleaned_data['bottle_nodes']208 param_initializer = form.cleaned_data['param_initializer']209 optimizer = form.cleaned_data['optimizer']210 classifier = form.cleaned_data['classifier']211 penalty = form.cleaned_data['penalty']212 penalty_param = form.cleaned_data['penalty_param']213 print("epochs: {}".format(epochs))214 print("batch_size: {}".format(batch_size))215 print("training_rate: {}".format(training_rate))216 print("decay_step: {}".format(decay_step))217 print("decay_rate: {}".format(decay_rate))218 print("layer: {}".format(layer))219 print("bottle_nodes: {}".format(bottle_nodes))220 print("param_initializer: {}".format(param_initializer))221 print("optimizer: {}".format(optimizer))222 print("classifier: {}".format(classifier))223 print("penalty: {}".format(penalty))224 print("penalty_param: {}".format(penalty_param))225 else:226 print("not valid")227 response = {"status": 0}228 # time.sleep(10)229 return JsonResponse(response)230def process_validate(request):231 """232 precision recall f1-score support233 0 1.00 0.99 0.99 88234 1 0.99 0.97 0.98 91235 2 0.99 0.99 0.99 86236 3 0.98 0.87 0.92 91237 4 0.99 0.96 0.97 92238 5 0.95 0.97 0.96 91239 6 0.99 0.99 0.99 91240 7 0.96 0.99 0.97 89241 8 0.94 1.00 0.97 88242 9 0.93 0.98 0.95 92243avg / total 0.97 0.97 0.97 899244Confusion confusion:245[[87 0 0 0 1 0 0 0 0 0]246 [ 0 88 1 0 0 0 0 0 1 1]247 [ 0 0 85 1 0 0 0 0 0 0]248 [ 0 0 0 79 0 3 0 4 5 0]249 [ 0 0 0 0 88 0 0 0 0 4]250 [ 0 0 0 0 0 88 1 0 0 2]251 [ 0 1 0 0 0 0 90 0 0 0]252 [ 0 0 0 0 0 1 0 88 0 0]253 [ 0 0 0 0 0 0 0 0 88 0]254 [ 0 0 0 1 0 1 0 0 0 90]]255 :param request:256 :return:257 """258 response = {"status": 0}259 report_str = ' precision recall f1-score support\n\n 0 1.00 0.99 0.99 88\n 1 0.99 0.97 0.98 91\n 2 0.99 0.99 0.99 86\n 3 0.98 0.87 0.92 91\n 4 0.99 0.96 0.97 92\n 5 0.95 0.97 0.96 91\n 6 0.99 0.99 0.99 91\n 7 0.96 0.99 0.97 89\n 8 0.94 1.00 0.97 88\n 9 0.93 0.98 0.95 92\n\navg / total 0.97 0.97 0.97 899\n'260 report_matrix = [['', 'precision', 'recall', 'f1-score', 'support'],261 ['0', '1.00', '0.99', '0.99', '88'],262 ['1', '0.99', '0.97', '0.98', '91'],263 ['2', '0.99', '0.99', '0.99', '86'],264 ['3', '0.98', '0.87', '0.92', '91'],265 ['4', '0.99', '0.96', '0.97', '92'],266 ['5', '0.95', '0.97', '0.96', '91'],267 ['6', '0.99', '0.99', '0.99', '91'],268 ['7', '0.96', '0.99', '0.97', '89'],269 ['8', '0.94', '1.00', '0.97', '88'],270 ['9', '0.93', '0.98', '0.95', '92'],271 ['total', '0.97', '0.97', '0.97', '899']]272 report = resolve_report(report_str)273 matrix = [[87, 0, 0, 0, 1, 0, 0, 0, 0, 0],274 [ 0, 88, 1, 0, 0, 0, 0, 0, 1, 1],275 [ 0, 0, 85, 1, 0, 0, 0, 0, 0, 0],276 [ 0, 0, 0, 79, 0, 3, 0, 4, 5, 0],277 [ 0, 0, 0, 0, 88, 0, 0, 0, 0, 4],278 [ 0, 0, 0, 0, 0, 88, 1, 0, 0, 2],279 [ 0, 1, 0, 0, 0, 0, 90, 0, 0, 0],280 [ 0, 0, 0, 0, 0, 1, 0, 88, 0, 0],281 [ 0, 0, 0, 0, 0, 0, 0, 0, 88, 0],282 [ 0, 0, 0, 1, 0, 1, 0, 0, 0, 90]]283 labels = [item["label"] for item in get_all_labels()]284 labels.insert(0, "")285 matrix.insert(0, labels)286 for idx, item in enumerate(matrix[1:]):287 item.insert(0, labels[idx+1])288 idx = render_to_string("results_val.html", {"data": report, "is_matrix": False})289 confusion = render_to_string("results_val.html", {"data": matrix, "is_matrix": True})290 response["index"] = idx291 response["confusion"] = confusion...
test_filter_ai_tiles.py
Source:test_filter_ai_tiles.py
...47 # Create an instance of a GET request.48 request = self.factory.get('get_all_labels')49 # an AnonymousUser instance.50 request.user = AnonymousUser()51 response = get_all_labels(request, submission)52 self.assertEqual(response.status_code, 200)53 def test_ai_tiles_no_tile_water(self):54 submission = '{"year": 2010, "label": "water"}'55 sub = json.loads(submission)56 # Create an instance of a GET request.57 request = self.factory.get('get_all_labels')58 # an AnonymousUser instance.59 request.user = AnonymousUser()60 response = get_all_labels(request, submission)61 self.assertEqual(response.status_code, 400)62 def test_ai_tiles_water(self):63 submission = '{"year": 2011, "label": "water"}'64 sub = json.loads(submission)65 # Create an instance of a GET request.66 request = self.factory.get('get_all_labels')67 # an AnonymousUser instance.68 request.user = AnonymousUser()69 response = get_all_labels(request, submission)70 self.assertEqual(response.status_code, 200)71 def test_ai_tiles_no_tile_land(self):72 submission = '{"year": 2011, "label": "land"}'73 sub = json.loads(submission)74 # Create an instance of a GET request.75 request = self.factory.get('get_all_labels')76 # an AnonymousUser instance.77 request.user = AnonymousUser()78 response = get_all_labels(request, submission)79 self.assertEqual(response.status_code, 400)80 def test_ai_tiles_no_tile_building(self):81 submission = '{"year": 2010, "label": "building"}'82 # Create an instance of a GET request.83 request = self.factory.get('get_all_labels')84 # an AnonymousUser instance.85 request.user = AnonymousUser()86 response = get_all_labels(request, submission)87 self.assertEqual(response.status_code, 400)88 def test_ai_tiles_building(self):89 submission = '{"year": 2011, "label": "building"}'90 # Create an instance of a GET request.91 request = self.factory.get('get_all_labels')92 # an AnonymousUser instance.93 request.user = AnonymousUser()94 response = get_all_labels(request, submission)95 self.assertEqual(response.status_code, 200)96 def test_ai_tiles_no_tile_from_label(self):97 submission = '{"year": 2020, "label": "water"}'98 sub = json.loads(submission)99 # Create an instance of a GET request.100 request = self.factory.get('get_all_labels')101 # an AnonymousUser instance.102 request.user = AnonymousUser()103 response = get_all_labels(request, submission)104 self.assertEqual(response.status_code, 400)105 def test_ai_tiles_wrong_label(self):106 submission = '{"year": 2010, "label": "windmill"}'107 sub = json.loads(submission)108 # Create an instance of a GET request.109 request = self.factory.get('get_all_labels')110 # an AnonymousUser instance.111 request.user = AnonymousUser()112 response = get_all_labels(request, submission)113 self.assertEqual(response.status_code, 400)114 def test_ai_tiles_object(self):115 submission = '{"year": 2011, "label": "church"}'116 sub = json.loads(submission)117 # Create an instance of a GET request.118 request = self.factory.get('get_all_labels')119 # an AnonymousUser instance.120 request.user = AnonymousUser()121 response = get_all_labels(request, submission)122 self.assertEqual(response.status_code, 200)123 def test_ai_tiles_no_object(self):124 submission = '{"year": 2010, "label": "church"}'125 sub = json.loads(submission)126 # Create an instance of a GET request.127 request = self.factory.get('get_all_labels')128 # an AnonymousUser instance.129 request.user = AnonymousUser()130 response = get_all_labels(request, submission)...
test_label.py
Source:test_label.py
...7use_labels = True8def test_label_init_exit(mach):9 pass10def test_label_add_remove_simple(mach):11 print("all:", get_all_labels())12 assert 0 == get_num_labels()13 l = add_label(0, 100, "huhu")14 print("label:", l)15 print("all:", get_all_labels())16 assert 1 == get_num_labels()17 remove_label(l)18 print("all:", get_all_labels())19 assert 0 == get_num_labels()20def _create_random(num, size, seed=42):21 seq = list(range(num))22 random.seed(seed)23 random.shuffle(seq)24 labels = [None] * num25 num = 026 for i in seq:27 addr = i * size28 l = add_label(addr, size, "@%d:%d" % (i, num))29 labels[i] = l30 num += 131 # check order32 for i in range(num):33 addr = i * size34 assert labels[i].addr() == addr35 # check size36 assert get_num_labels() == num37 return labels38def _delete_random(labels, seed=21):39 num = len(labels)40 seq = list(range(num))41 random.seed(seed)42 random.shuffle(seq)43 assert get_num_labels() == num44 for i in seq:45 remove_label(labels[i])46 # check final size47 assert get_num_labels() == 048def _check_find(labels):49 num = len(labels)50 size = labels[0].size()51 for i in range(num):52 # begin range53 addr = i * size54 l = find_label(addr)55 assert l == labels[i]56 # end range57 addr = i * size + size - 158 l = find_label(addr)59 assert l == labels[i]60def test_label_stress_add_remove(mach):61 labels = _create_random(2048, 64)62 _check_find(labels)63 _delete_random(labels)64def test_label_stress_add_remove_large(mach):65 labels = _create_random(1024, 128)66 _check_find(labels)67 _delete_random(labels)68def test_label_add_only(mach):69 assert None is get_all_labels()70 assert None is get_page_labels(0)71 assert 0 == get_num_labels()72 assert 0 == get_num_page_labels(0)73 l = add_label(0x0000, 0x2000, "label")74 assert 1 == get_num_labels()75 assert 1 == get_num_page_labels(0)76 assert [l] == get_all_labels()77 assert [l] == get_page_labels(0)78def test_label_add_remove(mach):79 assert None is get_all_labels()80 assert None is get_page_labels(0)81 assert 0 == get_num_labels()82 assert 0 == get_num_page_labels(0)83 l = add_label(0xf000, 0x2000, "label")84 assert 1 == get_num_labels()85 assert 1 == get_num_page_labels(0)86 assert [l] == get_all_labels()87 assert [l] == get_page_labels(0)88 remove_label(l)89 assert 0 == get_num_labels()90 assert 0 == get_num_page_labels(0)91 assert None is get_all_labels()92 assert None is get_page_labels(0)93def test_label_cross_add_only(mach):94 assert None is get_all_labels()95 assert None is get_page_labels(0)96 assert None is get_page_labels(1)97 l = add_label(0xf000, 0x2000, "cross")98 assert 1 == get_num_labels()99 assert [l] == get_all_labels()100 assert [l] == get_page_labels(0)101 assert [l] == get_page_labels(1)102def test_label_cross_add_remove(mach):103 assert None is get_all_labels()104 assert None is get_page_labels(0)105 assert None is get_page_labels(1)106 l = add_label(0xf000, 0x2000, "cross")107 assert 1 == get_num_labels()108 assert [l] == get_all_labels()109 assert [l] == get_page_labels(0)110 assert [l] == get_page_labels(1)111 remove_label(l)112 assert 0 == get_num_labels()113 assert None is get_all_labels()114 assert None is get_page_labels(0)115 assert None is get_page_labels(1)116def test_label_remove_inside(mach):117 labels = _create_random(1024, 128)118 assert 1024 == get_num_labels()119 remove_labels_inside(128, 128 * 2)120 assert 1022 == get_num_labels()121def test_label_find_intersecting(mach):122 labels = _create_random(1024, 128)123 l1 = find_intersecting_labels(128, 128)124 assert l1 == [labels[1]]125 l2 = find_intersecting_labels(128, 129)126 assert l2 == [labels[1], labels[2]]127 l3 = find_intersecting_labels(150, 128)...
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