'a'

.gitignore

@@ -0,0 +1,6 @@
+*.pyc
+*.jpeg
+/flagged/
+*.jpg
+*.png
+*.gif

aaa.yml

@@ -0,0 +1,126 @@
+name: stlit
+channels:
+  - https://mirrors.bfsu.edu.cn/anaconda/cloud/conda-forge
+  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/
+  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/msys2/
+  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
+  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
+  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
+  - https://mirrors.ustc.edu.cn/anaconda/cloud/conda-forge/
+  - https://mirrors.ustc.edu.cn/anaconda/pkgs/main/
+  - https://mirrors.ustc.edu.cn/anaconda/pkgs/free/
+  - https://mirrors.bfsu.edu.cn/anaconda/pkgs/r/
+  - https://mirrors.bfsu.edu.cn/anaconda/pkgs/main/
+  - https://mirrors.bfsu.edu.cn/anaconda/pkgs/free/
+  - https://mirrors.bfsu.edu.cn/anaconda/cloud/conda-forge/
+  - https://mirrors.bfsu.edu.cn/anaconda/cloud/bioconda/
+  - https://mirrors.ustc.edu.cn/anaconda/cloud/menpo/
+  - https://mirrors.ustc.edu.cn/anaconda/cloud/bioconda/
+  - https://mirrors.ustc.edu.cn/anaconda/cloud/msys2/
+  - defaults
+dependencies:
+  - ca-certificates=2021.10.8=h5b45459_0
+  - openssl=3.0.2=h8ffe710_1
+  - pip=22.0.4=pyhd8ed1ab_0
+  - python=3.7.12=h900ac77_100_cpython
+  - python_abi=3.7=2_cp37m
+  - setuptools=61.1.1=py37h03978a9_0
+  - sqlite=3.37.1=h8ffe710_0
+  - ucrt=10.0.20348.0=h57928b3_0
+  - vc=14.2=hb210afc_6
+  - vs2015_runtime=14.29.30037=h902a5da_6
+  - wheel=0.37.1=pyhd8ed1ab_0
+  - pip:
+    - altair==4.2.0
+    - argon2-cffi==21.3.0
+    - argon2-cffi-bindings==21.2.0
+    - attrs==21.4.0
+    - backcall==0.2.0
+    - backports-zoneinfo==0.2.1
+    - beautifulsoup4==4.10.0
+    - bleach==4.1.0
+    - blinker==1.4
+    - cachetools==5.0.0
+    - certifi==2021.10.8
+    - cffi==1.15.0
+    - charset-normalizer==2.0.12
+    - click==8.0.4
+    - colorama==0.4.4
+    - debugpy==1.6.0
+    - decorator==5.1.1
+    - defusedxml==0.7.1
+    - entrypoints==0.4
+    - gitdb==4.0.9
+    - gitpython==3.1.27
+    - idna==3.3
+    - importlib-metadata==4.11.3
+    - importlib-resources==5.6.0
+    - ipykernel==6.9.2
+    - ipython==7.32.0
+    - ipython-genutils==0.2.0
+    - ipywidgets==7.7.0
+    - jedi==0.18.1
+    - jinja2==3.1.1
+    - jsonschema==4.4.0
+    - jupyter-client==7.1.2
+    - jupyter-core==4.9.2
+    - jupyterlab-pygments==0.1.2
+    - jupyterlab-widgets==1.1.0
+    - markupsafe==2.1.1
+    - matplotlib-inline==0.1.3
+    - mistune==0.8.4
+    - nbclient==0.5.13
+    - nbconvert==6.4.4
+    - nbformat==5.2.0
+    - nest-asyncio==1.5.4
+    - notebook==6.4.10
+    - numpy==1.21.5
+    - packaging==21.3
+    - pandas==1.3.5
+    - pandocfilters==1.5.0
+    - parso==0.8.3
+    - pickleshare==0.7.5
+    - pillow==9.0.1
+    - plotly==5.6.0
+    - prometheus-client==0.13.1
+    - prompt-toolkit==3.0.28
+    - protobuf==3.19.4
+    - psutil==5.9.0
+    - pyarrow==7.0.0
+    - pycparser==2.21
+    - pydeck==0.7.1
+    - pygments==2.11.2
+    - pympler==1.0.1
+    - pyparsing==3.0.7
+    - pyrsistent==0.18.1
+    - python-dateutil==2.8.2
+    - pytz==2022.1
+    - pytz-deprecation-shim==0.1.0.post0
+    - pywin32==303
+    - pywinpty==2.0.5
+    - pyzmq==22.3.0
+    - requests==2.27.1
+    - semver==2.13.0
+    - send2trash==1.8.0
+    - six==1.16.0
+    - smmap==5.0.0
+    - soupsieve==2.3.1
+    - streamlit==1.8.0
+    - tenacity==8.0.1
+    - terminado==0.13.3
+    - testpath==0.6.0
+    - toml==0.10.2
+    - toolz==0.11.2
+    - tornado==6.1
+    - traitlets==5.1.1
+    - typing-extensions==4.1.1
+    - tzdata==2022.1
+    - tzlocal==4.1
+    - urllib3==1.26.9
+    - validators==0.18.2
+    - watchdog==2.1.7
+    - wcwidth==0.2.5
+    - webencodings==0.5.1
+    - widgetsnbextension==3.6.0
+    - zipp==3.7.0
+prefix: C:\Users\dscshap3808\Miniconda3\envs\stlit

app.py

@@ -0,0 +1,127 @@
+import streamlit as st
+import pandas as pd
+import numpy as np
+import plotly.express as px
+import warnings
+import re
+from zhdate import ZhDate as lunar_date
+from typing import Iterable
+import streamlit.components.v1 as components
+from datetime import datetime
+from PIL import Image 
+warnings.filterwarnings('ignore')
+# import plotly.graph_objs as go
+
+st.set_page_config(
+    page_title="simingyanwebpage",
+    page_icon="🧊",
+    layout="wide",
+    initial_sidebar_state="expanded",
+    menu_items={
+        'About': "fyenne@hotmail.com"
+    }
+)
+
+class load_data:
+    '''
+    read some data
+    '''
+    def __init__(self, df, lunar_today, pltdf):
+        self.df = pd.DataFrame()
+        self.lunar_today = ''
+        self.pltdf = pd.DataFrame()
+        self.chinese_char_map = {}
+        
+
+    df = pd.read_csv('./dataup/base.csv')
+    lunar_today = re.sub('\D', '', str(lunar_date.from_datetime(datetime.now())))
+    pltdf = pd.DataFrame(data = {
+        'main': '八卦',
+        'wuxing':['金', '金', '火', '火', '木', '木', '土', '土','土', '土', '水', '水'],
+        'bagua': ['乾','兑','离','离','震','巽','坤','坤','艮','艮','坎','坎'],
+        'tiangan':['庚', '辛','丙', '丁', '甲', '乙', '戊', '己', '戊', '己',  '壬', '癸'],
+        'dizhi':['申', '酉','巳', '午','寅','卯','辰','戌', '丑', '未',  '亥', '子'],
+        'value1': np.repeat(10, 12).tolist()
+    })
+    def plt1():
+        fig = px.sunburst(load_data.pltdf, path=['main', 'wuxing', 'bagua', 'tiangan', 'dizhi'], values='value1',\
+        color_discrete_sequence = px.colors.qualitative.Pastel2[0:8]
+        )
+        return fig
+    
+    def count_strokes(words: Iterable) -> int:
+        """
+        统计字符串中所有文字的笔画总数
+
+        :param words: 需要统计的字符串
+        :return: 笔画总数
+        """
+        chinese_char_map = {}
+        with open('./dataup/chinese_unicode_table.txt', 'r', encoding='UTF-8') as f:
+            lines = f.readlines()
+            for line in lines[6:]:  # 前6行是表头，去掉
+                line_info = line.strip().split()
+                # 处理后的数组第一个是文字，第7个是笔画数量
+                chinese_char_map[line_info[0]] = line_info[6]
+        strokes = 0
+        for word in words:
+            if 0 <= ord(word) <= 126:  # 数字，英文符号范围
+                strokes += 1
+            elif 0x4E00 <= ord(word) <= 0x9FA5:  # 常用汉字Unicode编码范围4E00-9FA5，20902个字
+                strokes += int(chinese_char_map.get(word, 1))
+            else:  # 特殊符号字符一律排在最后
+                strokes += 1
+        return strokes
+    
+    
+st.title('正德佷准')
+st.markdown('--- \n > **人工智能和量子物理结合下的优化版梅花易数**\n ---')
+# ---- 
+
+# # l2=[]
+# #  将纵向每个字符当作 y 坐标的刻度
+# for y in range(15,-15,-1):
+#     l3 = []
+#     #  将横向每个字符当作 x 坐标的刻度
+#     for x in range(-30,30):
+#         # 如果 x,y 点在心形内,则将一个字符加入到行,否则加入空字符
+#         l3.append((' I love U'[(x-y)%9]if((x*0.05)**2+(y*0.1)**2-1)**3-(x*0.05)**2*(y*0.1)**3<=0 else' '))
+#     l2.append(''.join(l3))
+# l1 ='\n'.join(l2) 
+
+    
+st.text('hahha')
+# ----
+selected_target = st.selectbox('测什么?', options = ['选择', '情路', '仕途'])
+if selected_target == '选择':
+    print('')
+    st.plotly_chart(load_data.plt1())
+# -----
+else:
+    '今日是农历: %s \
+    公历 %s'%(load_data.lunar_today, datetime.today().strftime('%Y%m%d'))
+    dizhi = '酉、戌、亥、子、丑、寅、卯、辰、巳、午、未、申'.split('、')
+    
+    dict = dict(zip(range(1,13), "子、丑、寅、卯、辰、巳、午、未、申、酉、戌、亥".split('、')))
+    # st.code()
+    name = st.text_input('请输入您的姓名')
+    # st.text()
+    components.html("<html><body>笔画数:%s</body></html>"%load_data.count_strokes(name),
+                width=200, height=30)
+    
+    bdate = st.text_input('请输入您的生日', value = '20220304')
+    dizhi = dizhi[int(bdate[0:4])%12 - 1]
+    components.html("<html><body>地支: %s</body></html>"%dizhi,
+                width=200, height=30)
+    
+    bt = st.button('测')
+    if (bt == True) & (name != '') & (int(bdate) < 20220101) & (len(name) < 26):
+        st.markdown('恭喜您和刘亦菲谈恋爱')
+    else:
+        st.text("输入信息有误")
+        pass
+
+
+# s2 = st.color_picker()
+
+# s2.background_gradient(axis=None, vmin=0, vmax=1000, cmap="YlGnBu")

dataup/base.csv

@@ -0,0 +1,39 @@
+<<<<<<< HEAD
+0,1,2,3,4,5
+五行,木,火,土,金,水
+八卦与五行的对应,震、巽,离,坤、艮,乾、兑,坎
+十天干与五行的对应,甲、乙,丙、丁,戊、己,庚、辛,壬、癸
+地支与五行的对应,寅、卯,巳、午,辰、戌、丑、未,申、酉,亥、子
+四季与五行的对应,春,夏,长夏,秋,冬
+方位与五行的对应,东,南,中,西,北
+气候与五行的对应,风,热,湿,燥,寒
+物相与五行的对应,生,长,化,收,藏
+颜色与五行的对应,青、绿,赤、红,黄,白,黑
+性味与五行的对应,酸,苦,甘,辛,咸
+五音与五行的对应,角,徵,宫,商,羽
+河图天地数与入卦的配属,3,2,5,4,1
+与五体、五官、五华相通,肝,心,脾,肺,肾
+“五腑”合“三焦”习称六腑,胆,小肠,胃,大肠,膀胱
+源自于“五”数的伦理规范,仁,礼,信,义,智
+内在情感（情志）的外显,怒,喜,思,悲,恐
+精神与五脏的内在牵连,魂,神,意,魄,志
+=======
+0,1,2,3,4,5
+五行,木,火,土,金,水
+八卦与五行的对应,震、巽,离,坤、艮,乾、兑,坎
+十天干与五行的对应,甲、乙,丙、丁,戊、己,庚、辛,壬、癸
+地支与五行的对应,寅、卯,巳、午,辰、戌、丑、未,申、酉,亥、子
+四季与五行的对应,春,夏,长夏,秋,冬
+方位与五行的对应,东,南,中,西,北
+气候与五行的对应,风,热,湿,燥,寒
+物相与五行的对应,生,长,化,收,藏
+颜色与五行的对应,青、绿,赤、红,黄,白,黑
+性味与五行的对应,酸,苦,甘,辛,咸
+五音与五行的对应,角,徵,宫,商,羽
+河图天地数与入卦的配属,3,2,5,4,1
+与五体、五官、五华相通,肝,心,脾,肺,肾
+“五腑”合“三焦”习称六腑,胆,小肠,胃,大肠,膀胱
+源自于“五”数的伦理规范,仁,礼,信,义,智
+内在情感（情志）的外显,怒,喜,思,悲,恐
+精神与五脏的内在牵连,魂,神,意,魄,志
+>>>>>>> 01227678ef980a6c2bef4c0df3cae199206d27af

requirments.txt

@@ -0,0 +1,80 @@
+attrs==21.4.0
+backcall==0.2.0
+backports.zoneinfo==0.2.1
+bleach==4.1.0
+blinker==1.4
+cachetools==5.0.0
+certifi==2021.10.8
+cffi==1.15.0
+charset-normalizer==2.0.12
+click==8.0.4
+colorama==0.4.4
+debugpy==1.6.0
+decorator==5.1.1
+defusedxml==0.7.1
+entrypoints==0.4
+gitdb==4.0.9
+GitPython==3.1.27
+idna==3.3
+importlib-metadata==4.11.3
+importlib-resources==5.6.0
+Jinja2==3.1.1
+jsonschema==4.4.0
+MarkupSafe==2.1.1
+matplotlib-inline==0.1.3
+mistune==0.8.4
+nbclient==0.5.13
+nbconvert==6.4.4
+nbformat==5.2.0
+nest-asyncio==1.5.4
+notebook==6.4.10
+numpy==1.21.5
+packaging==21.3
+pandas==1.3.5
+pandocfilters==1.5.0
+parso==0.8.3
+pickleshare==0.7.5
+Pillow==9.0.1
+plotly==5.6.0
+prometheus-client==0.13.1
+prompt-toolkit==3.0.28
+protobuf==3.19.4
+psutil==5.9.0
+pyarrow==7.0.0
+pycparser==2.21
+pydeck==0.7.1
+Pygments==2.11.2
+Pympler==1.0.1
+pyparsing==3.0.7
+pyrsistent==0.18.1
+python-dateutil==2.8.2
+pytz==2022.1
+pytz-deprecation-shim==0.1.0.post0
+pywin32==303
+pywinpty==2.0.5
+pyzmq==22.3.0
+requests==2.27.1
+semver==2.13.0
+Send2Trash==1.8.0
+six==1.16.0
+smmap==5.0.0
+soupsieve==2.3.1
+streamlit==1.8.0
+tenacity==8.0.1
+terminado==0.13.3
+testpath==0.6.0
+toml==0.10.2
+toolz==0.11.2
+tornado==6.1
+traitlets==5.1.1
+typing_extensions==4.1.1
+tzdata==2022.1
+tzlocal==4.1
+urllib3==1.26.9
+validators==0.18.2
+watchdog==2.1.7
+wcwidth==0.2.5
+webencodings==0.5.1
+widgetsnbextension==3.6.0
+zhdate==0.1
+zipp==3.7.0

streamlit_te.py

@@ -0,0 +1,119 @@
+import streamlit as st
+import pandas as pd
+import numpy as np
+import plotly.express as px
+import warnings
+import re
+from zhdate import ZhDate as lunar_date
+from typing import Iterable
+import streamlit.components.v1 as components
+from datetime import datetime
+# from PIL import Image 
+warnings.filterwarnings('ignore')
+# import plotly.graph_objs as go
+
+st.set_page_config(
+    page_title="正德佷准官方网站",
+    page_icon="🧊",
+    layout="wide",
+    initial_sidebar_state="expanded",
+    menu_items={
+        'About': "fyenne@hotmail.com"
+    }
+)
+
+class load_data:
+    '''
+    read some data
+    '''
+    def __init__(self, df, lunar_today, pltdf):
+        self.df = pd.DataFrame()
+        self.lunar_today = ''
+        self.pltdf = pd.DataFrame()
+        self.chinese_char_map = {}
+        
+
+    df = pd.read_csv('./dataup/base.csv')
+    lunar_today = re.sub('\D', '', str(lunar_date.from_datetime(datetime.now())))
+    pltdf = pd.DataFrame(data = {
+        'main': '八卦',
+        'wuxing':['金', '金', '火', '火', '木', '木', '土', '土','土', '土', '水', '水'],
+        'bagua': ['乾','兑','离','离','震','巽','坤','坤','艮','艮','坎','坎'],
+        'tiangan':['庚', '辛','丙', '丁', '甲', '乙', '戊', '己', '戊', '己',  '壬', '癸'],
+        'dizhi':['申', '酉','巳', '午','寅','卯','辰','戌', '丑', '未',  '亥', '子'],
+        'value1': np.repeat(10, 12).tolist()
+    })
+    def plt1():
+        fig = px.sunburst(load_data.pltdf, path=['main', 'wuxing', 'bagua', 'tiangan', 'dizhi'], values='value1',\
+        color_discrete_sequence = px.colors.qualitative.Pastel2[0:8]
+        )
+        return fig
+    
+    def count_strokes(words: Iterable) -> int:
+        """
+        统计字符串中所有文字的笔画总数
+
+        :param words: 需要统计的字符串
+        :return: 笔画总数
+        """
+        chinese_char_map = {}
+        with open('./dataup/chinese_unicode_table.txt', 'r', encoding='UTF-8') as f:
+            lines = f.readlines()
+            for line in lines[6:]:  # 前6行是表头，去掉
+                line_info = line.strip().split()
+                # 处理后的数组第一个是文字，第7个是笔画数量
+                chinese_char_map[line_info[0]] = line_info[6]
+        strokes = 0
+        for word in words:
+            if 0 <= ord(word) <= 126:  # 数字，英文符号范围
+                strokes += 1
+            elif 0x4E00 <= ord(word) <= 0x9FA5:  # 常用汉字Unicode编码范围4E00-9FA5，20902个字
+                strokes += int(chinese_char_map.get(word, 1))
+            else:  # 特殊符号字符一律排在最后
+                strokes += 1
+        return strokes
+    
+    
+st.title('正德佷准')
+st.markdown('--- \n > **人工智能和量子物理结合下的优化版梅花易数**\n ---')
+# ----
+import streamlit as st
+from PIL import Image 
+
+image = Image.open('./dataup/Untitled.jpg')
+st.image(image, caption='zelinzeling')
+
+
+selected_target = st.selectbox('测什么?', options = ['选择', '情路', '仕途'])
+if selected_target == '选择':
+    print('')
+    st.plotly_chart(load_data.plt1())
+# -----
+else:
+    '今日是农历: %s \
+    公历 %s'%(load_data.lunar_today, datetime.today().strftime('%Y%m%d'))
+    dizhi = '酉、戌、亥、子、丑、寅、卯、辰、巳、午、未、申'.split('、')
+    
+    dict = dict(zip(range(1,13), "子、丑、寅、卯、辰、巳、午、未、申、酉、戌、亥".split('、')))
+    # st.code()
+    name = st.text_input('请输入您的姓名')
+    # st.text()
+    components.html("<html><body>笔画数:%s</body></html>"%load_data.count_strokes(name),
+                width=200, height=30)
+    
+    bdate = st.text_input('请输入您的生日', value = '20220304')
+    dizhi = dizhi[int(bdate[0:4])%12 - 1]
+    components.html("<html><body>地支: %s</body></html>"%dizhi,
+                width=200, height=30)
+    
+    bt = st.button('测')
+    if (bt == True) & (name != '') & (int(bdate) < 20220101) & (len(name) < 26):
+        st.markdown('恭喜您和刘亦菲谈恋爱')
+    else:
+        st.text("输入信息有误")
+        pass
+
+
+# st.color_picker()
+
+# s2.background_gradient(axis=None, vmin=0, vmax=1000, cmap="YlGnBu")