Personality Test at http://www.personality100.com/

博客提及了高好奇心水平和高决断力水平,但未展开详细内容。这些信息可能与个人特质相关,在信息技术领域,不同特质可能影响工作表现和决策。

摘要生成于 C知道 ,由 DeepSeek-R1 满血版支持, 前往体验 >

Crabo, your Personality Summary
Key Areas of your Personality
Your personality stands out from the average person's particularly in the areas of:
  • Your High Curiosity Level
  • Your High Assertiveness Level
One chapter of your 100-page Personality Report is dedicated to how you compare to the average woman and the average man in the 8 main areas of personality, and how this affects the way that people interact with you.
A Subset of your Personality Measurement:
 
LowHigh
Social Need
Openness
Approval Need
Ability to Focus
Emotionality
Reliance on Intuition
Tolerance for Change
Your personality is made up of a unique pattern of traits. These traits impact the way you think, feel, and behave on an everyday basis. In your report you will read a detailed explanation of each of your core personality traits, including your strengths and challenge points.
Your Interaction Style:
You scored 50 in the area of extroversion/ introversion, which means that your energy is directed primarily inward, rather than outward. Your mixed score in this trait creates an interesting and alluring combination of traits: You are social yet also very reflective and introspective. You like to be around people, but too much interaction drains your energy. You need to retreat every once in a while in order to recharge your batteries. Keep these needs in mind when choosing the ideal work situation for you, otherwise you won't feel happy.
Social patterns: You are right-brained when it comes to interacting with people and recognizing emotions in other people. This means, for example, that when someone takes a photograph of you, you probably prefer to turn your right cheek towards the camera, rather than your left cheek. If someone were talking behind a closed door and you needed to put your ear on the door in order to hear, you would tend to use your right ear instead of using your left.
Life Satisfaction:
You are not entirely satisfied with your current life situation.
The Personality Report was created by leading researchers and personality experts who want to make a difference in people's lives. We believe that knowing your personality well is the key to increasing your life satisfaction level. Why? You need to know your personality well in order to choose the people and surroundings that fit you best.
Your Personality Report will help you understand yourself better and make the right choices.
``` import pandas as pd from transformers import TFBertModel, BertTokenizer seed_value = 29 import os os.environ['PYTHONHASHSEED'] = str(seed_value) import random random.seed(seed_value) import numpy as np np.random.seed(seed_value) np.set_printoptions(precision=2) import tensorflow as tf tf.random.set_seed(seed_value) import tensorflow_addons as tfa import tensorflow.keras as keras import tensorflow.keras.layers as layers from tensorflow.keras.callbacks import ModelCheckpoint import re import matplotlib.pyplot as plt from sklearn.metrics import auc, roc_curve device_name = tf.test.gpu_device_name() if device_name != '/device:GPU:0': raise SystemError('GPU device not found') print('Found GPU at: {}'.format(device_name)) N_AXIS = 4 MAX_SEQ_LEN = 128 BERT_NAME = 'bert-base-uncased' ''' EMOTIONAL AXES: Introversion (I) – Extroversion (E) Intuition (N) – Sensing (S) Thinking (T) – Feeling (F) Judging (J) – Perceiving (P) ''' axes = ["I-E","N-S","T-F","J-P"] classes = {"I":0, "E":1, # axis 1 "N":0,"S":1, # axis 2 "T":0, "F":1, # axis 3 "J":0,"P":1} # axis 4 def text_preprocessing(text): text = text.lower() text = re.sub('\[.*?\]', '', text) text = re.sub('https?://\S+|www\.\S+', '', text) text = re.sub('<.*?>+', '', text) text = re.sub('\n', '', text) text = re.sub('\w*\d\w*', '', text) text.encode('ascii', 'ignore').decode('ascii') if text.startswith("'"): text = text[1:-1] return text train_n=6624 val_n=1024 test_n=1024 data = pd.read_csv("mbti_1.csv") data = data.sample(frac=1) labels = [] print(data) for personality in data["type"]: pers_vect = [] for p in personality: pers_vect.append(classes[p]) labels.append(pers_vect) sentences = data["posts"].apply(str).apply(lambda x: text_preprocessing(x)) labels = np.array(labels, dtype="float32") train_sentences = sentences[:train_n] y_train = labels[:train_n] val_sentences = sentences[train_n:train_n+val_n] y_val = labels[train_n:train_n+val_n] test_sentences = sentences[train_n+val_n:train_n+val_n+test_n] y_test = labels[train_n+val_n:train_n+val_n+test_n] def prepare_bert_input(sentences, seq_len, bert_name): tokenizer = BertTokenizer.from_pretrained(bert_name) encodings = tokenizer(sentences.tolist(), truncation=True, padding='max_length', max_length=seq_len) input = [np.array(encodings["input_ids"]), np.array(encodings["attention_mask"]), np.array(encodings["token_type_ids"])] return input```解释代码
04-02
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值