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How to use dump_json method in lisa

Best Python code snippet using lisa_python

api_data.py

Source:api_data.py

...79        ('name_kanji', data['name']),80        ]) for reading, data in readings.items()]81def CJK_compatibility(character):82    return u'\uF900' <= literal(character) <= u'\uFAFF'83def dump_json(filename, obj):84    with open(filename, 'w', encoding='utf8') as f:85        ujson.dump(obj, f, ensure_ascii=False)86def main():87    VERSION_PATH = 'v1'88    SITE_PATH = f'out/site'89    OUT_PATH = f'out/{VERSION_PATH}'90    KANJI_DIR = f'{OUT_PATH}/kanji/'91    WORD_DIR = f'{OUT_PATH}/words/'92    READING_DIR = f'{OUT_PATH}/reading/'93    JOUYOU_GRADES = [1, 2, 3, 4, 5, 6, 8]94    JINMEIYOU_GRADES = [9, 10]95    kanjidic_root = etree.parse('kanjidic2.xml')96    jmdict_entries = etree.parse('JMDict').xpath('//entry')97    characters = kanjidic_root.xpath('./character')98    kanji_to_entries = word_dict(jmdict_entries)99    kanjis = [100            kanji_data(character)101            for character in characters102            if not CJK_compatibility(character)103            ]104    readings = reading_data(kanjis)105    all_kanji = [kanji['kanji'] for kanji in kanjis]106    words = {}107    for kanji in kanjis:108        dump_json(KANJI_DIR + kanji['kanji'], kanji)109        try:110            entries = tuple(kanji_to_entries[kanji['kanji']])111            dump_json(WORD_DIR + kanji['kanji'], entries)112            words[kanji['kanji']] = entries113        except KeyError:114            continue115    for reading in readings:116        dump_json(READING_DIR + reading['reading'], reading)117    jouyou_kanji = [118            kanji['kanji']119            for kanji in kanjis120            if kanji['grade'] in JOUYOU_GRADES121            ]122    jinmeiyou_kanji = [123            kanji['kanji']124            for kanji in kanjis125            if kanji['grade'] in JINMEIYOU_GRADES126            ]127    dump_json(KANJI_DIR + 'all', all_kanji)128    dump_json(KANJI_DIR + 'jouyou', jouyou_kanji)129    dump_json(KANJI_DIR + 'joyo', jouyou_kanji)130    dump_json(KANJI_DIR + 'jinmeiyou', jinmeiyou_kanji)131    dump_json(KANJI_DIR + 'jinmeiyo', jinmeiyou_kanji)132    with ZipFile(f'{SITE_PATH}/kanjiapi_full.zip', 'w', compression=ZIP_DEFLATED) as archive:133        api_data_download = {134            'kanjis': {kanji['kanji']: kanji for kanji in kanjis},135            'readings': {reading['reading']: reading for reading in readings},136            'words': words,137        }138        json_filename = f'{SITE_PATH}/kanjiapi_full.json'139        dump_json(json_filename, api_data_download)140        archive.write(json_filename, arcname='kanjiapi_full.json')141        os.remove(json_filename)142    for grade_numeral in JOUYOU_GRADES:143        grade_kanji = [144                kanji['kanji']145                for kanji in kanjis146                if kanji['grade'] == grade_numeral147                ]...

views.py

Source:views.py

...10def index(request):11    return render(request, "api-index.html")12def malaria(request):13    if not validate_API(request.GET.get("key", "~~~")):14        return HttpResponse(dump_json({"success": False, "error": "Invalid Creds", "test_type": "malaria", "message": None}))15    try:16        img_url = request.GET.get("img_url", None)17        if img_url:18            img_data = get_image_data(img_url)19            img_data = preprocess_malaria(img_data)20            test_result = malaria_model.predict([[img_data]])21            confidence_score = test_result[0][test_result.argmax()] * 10022            if test_result.argmax() == 0:23                test_message = "Malaria Negative with {:.2f}% confidence".format(confidence_score)24                result = "Negative"25            else:26                test_message = "Malaria Positive with {:.2f}% confidence".format(confidence_score)27                result = "Positive"28        else:29            return HttpResponse(dump_json({"success": False, "test_type": "malaria", "error": "No image url was provided", "message": None}))30        return HttpResponse(dump_json({"success": True, "error": None, "test_type": "malaria", "message": test_message, "result": result, "confidence": confidence_score}))31    except Exception as e:32        return HttpResponse(dump_json({"success": False, "error": "An error occured during the test", "test_type": "malaria", "message": None}))33def skin_cancer(request):34    if not validate_API(request.GET.get("key", "~~~")):35        return HttpResponse(dump_json({"success": False, "error": "Invalid Creds", "test_type": "skin_cancer", "message": None}))36    try:37        img_url = request.GET.get("img_url", None)38        if img_url:39            img_data = get_image_data(img_url)40            img_data = preprocess_skin_cancer(img_data)41            test_result = skin_cancer_model.predict([[img_data]])[0][0]42            if round(test_result) == 0:43                confidence_score = (1 - test_result) * 10044                test_message = "Detected Benign Cancer with {:.2f}% confidence".format(confidence_score)45                result = "Benign"46            else:47                confidence_score = test_result * 10048                test_message = "Detected Malignant Cancer with {:.2f}% confidence".format(confidence_score)49                result = "Malignant"50        else:51            return HttpResponse(dump_json({"success": False, "test_type": "skin_cancer", "error": "No image url was provided", "message": None}))52        return HttpResponse(dump_json({"success": True, "error": None, "test_type": "skin_cancer", "message": test_message, "result": result, "confidence": confidence_score}))53    except Exception as e:...

correct_exp.py

Source:correct_exp.py

1import json, re2import os, sys3dump_list = []4dump_json = {}5uid = 06name = ""7f1= open("dev_set.txt", mode='r', encoding='utf-8')8for line in f1:9    pairs = line.split(":")10    abbr_word = pairs[0]11    if abbr_word == "n":12        continue13    complete_word = pairs[1].strip()14    complete_word = complete_word.split(" ")15    for i in range(len(complete_word)):16        complete_word[i] = complete_word[i].split("/")[0]17    dump_json[abbr_word] = ''.join(complete_word)18f2 = open("test_set.txt", mode='r', encoding='utf-8')19for line in f2:20    pairs = line.split(":")21    abbr_word = pairs[0]22    if abbr_word == "n":23        continue24    complete_word = pairs[1].strip()25    complete_word = complete_word.split(" ")26    for i in range(len(complete_word)):27        complete_word[i] = complete_word[i].split("/")[0]28    dump_json[abbr_word] = ''.join(complete_word)29f3 = open("train_set.txt", mode='r', encoding='utf-8')30for line in f3:31    pairs = line.split(":")32    abbr_word = pairs[0]33    if abbr_word == "n":34        continue35    complete_word = pairs[1].strip()36    complete_word = complete_word.split(" ")37    for i in range(len(complete_word)):38        complete_word[i] = complete_word[i].split("/")[0]39    dump_json[abbr_word] = ''.join(complete_word)40#     dicts = json.load(f)41#     # å°å¤ä¸ªåå¸ä»jsonæä»¶ä¸è¯»åºæ¥42#     for i in dicts:43#         print(i["uid"])44#         print(i["name"])45#         print(i["content"])46#         print("========")47#48# print(pre_data)49# for i in range(len(pre_data)-1):50#     # å¦æä»¥xlsä¸ºä¸ºç»å°¾ï¼å°±æ¯æ°åå·¥ä¿¡æ¯51#52#             dump_json["uid"] = uid53#             dump_json["name"] = name54#             dump_json["gender"] = ""55#             dump_json["nation"] = ""56#             dump_json["birthday"] = ""57#             dump_json["birthplace"] = ""58#             dump_json["origo"] = ""59#60#             dump_json["t_party"] = ""61#             dump_json["t_job"] = ""62#63#             dump_json["ft_edu_career"] = ""64#             dump_json["ft_edu_school"] = ""65#             dump_json["pt_edu_career"] = ""66#             dump_json["pt_edu_school"] = ""67#68#             dump_json["position"] = ""69#             dump_json["rank"] = ""70#             dump_json["content"] = content71#72#             dump_list.append(dump_json)73#             content = []74#             dump_json = {}75#76#77#78#79# print(dump_list)80#81with open('abbr_pairs.json', mode='w', encoding='utf-8') as f:82    json.dump(dump_json, f, ensure_ascii=False)83#84#85# with open(data_path + '/sample_data180.json', mode='r', encoding='utf-8') as f:86#     dicts = json.load(f)87#     # å°å¤ä¸ªåå¸ä»jsonæä»¶ä¸è¯»åºæ¥88#     for i in dicts:89#         print(i["uid"])90#         print(i["name"])91#         print(i["content"])...

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