def edit_rules():
"""Edit rules
Edit the rules that process inbound events"""
my_rules = rules.get_all_rules()
my_rules.append(DEFAULT_RULE)
selected_rule_id = select(
label="Existing rules",
options=[{
"label": rule["name"],
"value": rule["id"]
} for rule in my_rules],
)
# Rules have unique IDs from the database:
logging.info(f"selected_rule: {selected_rule_id}")
use_rule = [r for r in my_rules if r["id"] == int(selected_rule_id)][0]
updated_rule = input_group(
"Rule editing",
[
input("name",
type=TEXT,
name="name",
value=use_rule["name"],
required=True), # Need ttextarea(
textarea(
"Rule names",
name="rule",
rows=10,
code={
"mode": "python", # code language
"theme":
"darcula", # Codemirror theme. Visit https://codemirror.net/demo/theme.html#cobalt to get more themes
},
value=f"""{use_rule['rule']}\n""",
),
actions(
"actions",
[
# {"label": "test", "value": "test"},
{
"label": "save",
"value": "save"
},
],
name="action",
help_text="Save",
),
],
)
if updated_rule is not None:
rl = dict(updated_rule)
if rl["action"] == "save":
rule_info = rules.save_rule(rl["name"], rl["rule"],
selected_rule_id)
put_row(put_text("Rule"))
put_row(put_code(pprint.pformat(rule_info, indent=1)))
# Use webhook_info's ID to add/update the extractor
put_text(f"The rule added is: {updated_rule}")
def main():
"""PyWebIO聊天室
和当前所有在线的人聊天
"""
global chat_msgs
run_js("alert('233')")
put_markdown(
"## PyWebIO聊天室\n欢迎来到聊天室，你可以和当前所有在线的人聊天。你可以在浏览器的多个标签页中打开本页面来测试聊天效果。"
"本应用使用不到80行代码实现，源代码[链接](https://github.com/wang0618/PyWebIO/blob/dev/demos/chat_room.py)",
lstrip=True)
msg_box = output()
put_scrollable(msg_box, height=300, keep_bottom=True)
nickname = input("请输入你的昵称",
required=True,
validate=lambda n: '昵称已被使用'
if n in online_users or n == '📢' else None)
online_users.add(nickname)
chat_msgs.append(
('📢', '`%s`加入聊天室. 当前在线人数 %s' % (nickname, len(online_users))))
msg_box.append(
put_markdown('`📢`: `%s`加入聊天室. 当前在线人数 %s' %
(nickname, len(online_users))))
@defer_call
def on_close():
online_users.remove(nickname)
chat_msgs.append(
('📢', '`%s`退出聊天室. 当前在线人数 %s' % (nickname, len(online_users))))
refresh_task = run_async(refresh_msg(nickname, msg_box))
while True:
data = input_group('发送消息', [
input(name='msg', help_text='消息内容支持行内Markdown语法'),
actions(name='cmd',
buttons=['发送', '多行输入', {
'label': '退出',
'type': 'cancel'
}])
],
validate=lambda d: ('msg', '消息不为空')
if d['cmd'] == '发送' and not d['msg'] else None)
if data is None:
break
if data['cmd'] == '多行输入':
data['msg'] = '\n' + textarea('消息内容', help_text='消息内容支持Markdown语法')
msg_box.append(
put_markdown('`%s`: %s' % (nickname, data['msg']), sanitize=True))
chat_msgs.append((nickname, data['msg']))
refresh_task.close()
toast("你已经退出聊天室")
def demo():
age = input("Enter your age: ", type=NUMBER)
year_exp = input("Enter your years of experience: ", type=NUMBER)
if (age >= 16 and age <=20) and (year_exp <=1):
put_text("Your Expected Salary: {}".format(10000))
elif (age >= 21 and age <=26) and (year_exp >= 2 and year_exp <5):
put_text("Your Expected Salary: {}".format(40000))
elif (age >= 27) and (year_exp >=5):
put_text("Your Expected Salary: {}".format(90000))
else:
put_text("Not in scoped rules!")
def bmi():
height = input("请输入你的身高(cm)：", type=FLOAT)
weight = input("请输入你的体重(kg)：", type=FLOAT)
BMI = weight / (height / 100)**2
top_status = [(14.9, '极瘦'), (18.4, '偏瘦'), (22.9, '正常'), (27.5, '过重'),
(40.0, '肥胖'), (float('inf'), '非常肥胖')]
for top, status in top_status:
if BMI <= top:
put_text('你的 BMI 值: %.1f，身体状态：%s' % (BMI, status))
break
def bmi():
height = input("Your Height(cm)：", type=FLOAT)
weight = input("Your Weight(kg)：", type=FLOAT)
BMI = weight / (height / 100)**2
top_status = [(14.9, 'Severely underweight'), (18.4, 'Underweight'),
(22.9, 'Normal'), (27.5, 'Overweight'),
(40.0, 'Moderately obese'), (float('inf'), 'Severely obese')]
for top, status in top_status:
if BMI <= top:
put_text('Your BMI: %.1f, category: %s' % (BMI, status))
break
def bmi():
height = input("Input your height(cm)：", type=FLOAT)
weight = input("Input your weight(kg)：", type=FLOAT)
BMI = weight / (height / 100)**2
top_status = [(16, 'Severely underweight'), (18.5, 'Underweight'),
(25, 'Normal'), (30, 'Overweight'), (35, 'Moderately obese'),
(float('inf'), 'Severely obese')]
for top, status in top_status:
if BMI <= top:
put_text('Your BMI: %.1f. Category: %s' % (BMI, status))
break
def hike():
current_salary = input("Enter your current salary ($)：", type=FLOAT)
new_salary = input("Enter your new salary ($)：", type=FLOAT)
total_hike = (new_salary - current_salary)
hike_per = (((new_salary - current_salary) / current_salary) * 100)
put_markdown('# **Results**')
put_html('<br><br>')
put_markdown('Your Hike: %.1f. Hike percentage: %s' %
(total_hike, hike_per))
put_html('<hr>')
put_table([
['Hike($)', 'Hike (%)'],
[total_hike, hike_per],
])
def todolist():
tasks = []
put_html(r"""<h1 align="center"><strong>📝 To-Do List</strong></h1>""")
with use_scope('tasks'):
while True:
task = input(
type=TEXT,
required=True,
label='🏃 What are you going to do today?',
placeholder='Add a task...',
help_text='Try: "Write an article"',
)
tasks.append(task)
clear('tasks')
put_table(
tdata=[[
task,
put_buttons(['Complete'],
onclick=partial(complete_task,
task=task,
tasks=tasks))
] for task in tasks],
header=[
'🤩 Your Awesome Tasks',
'✅ Have you completed your task?',
],
)
def put_input(name,
type='text',
*,
label='',
value=None,
placeholder=None,
readonly=None,
datalist=None,
help_text=None,
scope=None,
position=OutputPosition.BOTTOM,
**other_html_attrs) -> Output:
"""Output an input widget. Refer to: `pywebio.input.input()`"""
from pywebio.input import input
check_name(name)
single_input_return = input(name=name,
label=label,
value=value,
type=type,
placeholder=placeholder,
readonly=readonly,
datalist=datalist,
help_text=help_text,
**other_html_attrs)
return _pin_output(single_input_return, scope, position)
def play():
word = get_word()
# So'zdagi harflar
word_letters = set(word)
# Foydalanuvchi kiritgan harflar
user_letters = ''
print(f"Мен {len(word)} хонали сўз ўйладим. Топа оласизми?")
# print(word)
while word_letters:
clear()
print(display(user_letters,word))
if user_letters:
print(f"Шу вақтгача топган ҳарфларингиз: {user_letters}")
letter = input("Ҳарф киритинг: ").upper()
if letter in user_letters:
print("Бу ҳарфни аввал киритгансиз. Бошқа ҳарф киритинг.")
continue
elif letter in word:
word_letters.remove(letter)
print(f"{letter} ҳарфи тўғри.")
else:
print("Бундай ҳарф йўқ.")
user_letters += letter
print(f"Табриклайман! {word} сўзини {len(user_letters)} та уринишда топдингиз.")
def index():
print("run")
put_text("12345")
out = output()
put_scrollable(out, keep_bottom=True)
while True:
il = input_group("233", [input(name="aaa", value="23456")])
outp(out, il)
def demo():
inputs = input_group("Salary Prediction", [
input("Enter your age: ", type=NUMBER, name='age'),
input("Enter your years of experience: ", type=NUMBER, name="year_exp")
])
if (inputs["age"] >= 16
and inputs["age"] <= 20) and (inputs["year_exp"] <= 1):
put_text("Your Expected Salary: {}".format(10000))
elif (inputs["age"] >= 21
and inputs["age"] <= 26) and (inputs["year_exp"] >= 2
and inputs["year_exp"] < 5):
put_text("Your Expected Salary: {}".format(40000))
elif (inputs["age"] >= 27) and (inputs["year_exp"] >= 5):
put_text("Your Expected Salary: {}".format(90000))
else:
put_text("Not in scoped rules!")
def bmi():
height = input("Input your height(cm)：", type=FLOAT)
weight = input("Input your weight(kg)：", type=FLOAT)
BMI = weight / (height / 100)**2
top_status = [
(16, "Severely underweight"),
(18.5, "Underweight"),
(25, "Normal"),
(30, "Overweight"),
(35, "Moderately obese"),
(float("inf"), "Severely obese"),
]
for top, status in top_status:
if BMI <= top:
put_text("Your BMI: %.1f. Category: %s" % (BMI, status))
break
def getInfo():
info = input_group("Fuqaro haqida ma'lumot", [
input('Ism', name='ism'),
input(
'Familiya',
name='familiya',
),
input(
'Otasining ismi',
name='otasi',
),
input(
"Tug'ilgan yil",
name='tyil',
),
input(
"Tug'ilgan kun",
name='tkun',
),
input(
"Tug'ilgan oy",
name='toy',
),
input(
'Telefon raqami',
name='telefon',
),
input(
'Pasport seriyasi',
name='seriya',
),
input(
'Pasport raqami',
name='pass_raqam',
),
input(
'Passport berilgan sana',
name='pass_sana',
)
])
return info
def main():
"""BMI Calculation
Simple application for calculating Body Mass Index.
"""
put_markdown("""# Body Mass Index
[Body mass index](https://en.wikipedia.org/wiki/Body_mass_index) (BMI) is a measure of body fat based on height and weight that applies to adult men and women.
BMI Categories:
| Category | BMI |
| -------------------- | ------------- |
| Severely underweight | BMI<14.9 |
| Underweight | 14.9≤BMI<18.4 |
| Normal | 18.4≤BMI<22.9 |
| Overweight | 22.9≤BMI<27.5 |
| Moderately obese | 27.5≤BMI<40 |
| Severely obese | BMI≥40 |
## BMI calculation
The source code of this application is [here](https://github.com/wang0618/PyWebIO/blob/dev/demos/bmi.py)
""",
strip_indent=4)
info = input_group('BMI calculation', [
input("Your Height(cm)", name="height", type=FLOAT),
input("Your Weight(kg)", name="weight", type=FLOAT),
])
BMI = info['weight'] / (info['height'] / 100)**2
top_status = [(14.9, 'Severely underweight'), (18.4, 'Underweight'),
(22.9, 'Normal'), (27.5, 'Overweight'),
(40.0, 'Moderately obese'), (float('inf'), 'Severely obese')]
for top, status in top_status:
if BMI <= top:
put_markdown('Your BMI: `%.1f`, Category: `%s`' % (BMI, status))
break
def get_consent(contract):
key = contract.functions.get_hash().call()
contract_old = w3.eth.contract(address=contract_data[str(key)][2],
abi=contract_data[str(key)][0],
bytecode=contract_data[str(key)][1])
if (contract_old.functions.check_consent().call() == False):
consent = input(
"Please enter \"CONSENT\" to allow your physician to access your medical device data?"
)
if consent == "CONSENT":
contract_old.functions.set_consent(True).transact()
return True
def login(password):
if get_localstorage("password") == str(password):
return True
pwd = input(label="Please login below.",
type=PASSWORD,
placeholder="PASSWORD")
if str(pwd) == str(password):
set_localstorage("password", str(pwd))
return True
else:
toast("Wrong password!", color="error")
return False
def login(password):
if get_localstorage('password') == password:
return True
pwd = input(label='Please login below.',
type=PASSWORD,
placeholder='PASSWORD')
if pwd == password:
set_localstorage('password', pwd)
return True
else:
toast('Wrong password!', color='error')
return False
def sontop(x=10):
pywebio.output.clear(scope=-1)
tasodifiy_son = random.randint(1, x)
while True:
taxmin = int(
input(f"Men 1 dan {x} gacha son o'yladim. Topa olasizmi?"))
if taxmin < tasodifiy_son:
put_text("Kattaroq son ayting!")
elif taxmin > tasodifiy_son:
put_text("Kichikroq son ayting!")
else:
put_text("Yutdingiz!")
break
def play(self):
pywebio.output.clear(scope=- 1)
tasodifiy_son = random.randint(1,self.x)
while True:
self.__taxminlar += 1
taxmin = int(input(f"Men 1 dan {self.x} gacha son o'yladim. Topa olasizmi?"))
if taxmin<tasodifiy_son:
put_text("Kattaroq son ayting!")
elif taxmin>tasodifiy_son:
put_text("Kichikroq son ayting!")
else:
put_text("Yutdingiz!")
break
def bmi():
height = input("Input your height(cm)：", type=FLOAT)
weight = input("Input your weight(kg)：", type=FLOAT)
BMI = weight / (height / 100) ** 2
top_status = [(16, 'Severely underweight'), (18.5, 'Underweight'),
(25, 'Normal'), (30, 'Overweight'),
(35, 'Moderately obese'), (float('inf'), 'Severely obese')]
for top, status in top_status:
if BMI <= top:
put_markdown('# **Results**')
put_html('<br><br>')
put_markdown('Your BMI: `%.1f`. Category: `%s`' % (BMI, status))
put_html('<hr>')
put_table([
['Your BMI', 'Category'],
[BMI, status],
])
break
def bmi_app():
name=input("Whats Your name")
put_text('Hi, welcome to our website', name)
user_info=input_group("User_info",[input('Whats Your age?',name='age',type=FLOAT)
])
if user_info['age']<16:
put_warning('Sorry You cant access our website')
else:
put_success('Congrats, You can use our website!')
height = input("Input your height(cm)：", type=FLOAT)
weight = input("Input your weight(kg)：", type=FLOAT)
BMI = weight / (height / 100) ** 2
top_status = [(16, 'Severely underweight'), (18.5, 'Underweight'),
(25, 'Normal'), (30, 'Overweight'),
(35, 'Moderately obese'), (float('inf'), 'Severely obese')]
for top, status in top_status:
if BMI <= top:
put_text('Your BMI: %.1f. Category: %s' % (BMI, status))
break
def bmi4():
datos=pd.read_csv("original.csv",header=0)
X=datos[['resid_area','air_qual','room_num','age','dist1','dist2','dist3','dist4']]
Y=datos["price"]
X_train,X_test,Y_train,Y_test=train_test_split(X,Y,test_size=0.3,random_state=42)
lr=LinearRegression()
lr.fit(X_train,Y_train)
prediccion=lr.predict(X_test)
resi=input("Ingresa el area",type=FLOAT)
air=input("Ingresa el air_qual",type=FLOAT)
room=input("Ingresa el room_num",type=FLOAT)
age=input("Ingresa la edad del producto",type=FLOAT)
dist1=input("Ingresa la dist1: ",type=FLOAT)
dist2=input("Ingresa la dist2: ",type=FLOAT)
dist3=input("Ingresa la dist3: ",type=FLOAT)
dist4=input("Ingresa la dist4: ",type=FLOAT)
resp=lr.predict([[resi,air,room,age,dist1,dist2,dist3,dist4]])
put_text("La respuesta es: " + str(resp))
#!/usr/bin/env python3
# vim: set fileencoding=utf-8
import pywebio.input as inp
import pywebio.output as out
# Body Mass Index calculator
info = inp.input_group("Entry", [
inp.input("Mass (kg)", name="mass", type=inp.NUMBER, required=True),
inp.input("Height (cm)", name="height", type=inp.NUMBER, required=True)
])
mass = info["mass"]
height = info["height"]
# převod výšky na metry
height = height / 100.0
# výpočet (bez jakýchkoli kontrol)
bmi = mass / (height * height)
# výpis výsledku
out.put_info("BMI = ", bmi)
def number_getter():
put_text("Enter an integer")
integer = input()
collatz(integer)
def edit_webhook():
"""Edit webhook and its extractor
This should be changed to work with a programattically named
webhook that has a randmoly named inbound address. For now, we
name it I guess
"""
my_hooks = extractions.get_all_webhooks()
my_hooks.append({
"id": 0,
"name": "Your new webhook could go here!",
"path": "Enter the path that this will be matched on",
"queue_name": "base name for the queue",
})
selected_hook_id = select(
label="Existing webhooks",
options=[{
"label": hook.get("name", "No hook name found"),
"value": hook.get("id", 0),
} for hook in my_hooks],
)
# Rules have unique IDs from the database:
logging.info(f"selected_hook: {selected_hook_id}")
my_hook = dict()
my_extractor = dict()
my_hook.update(DEFAULT_HOOK)
my_extractor.update(DEFAULT_EXTRACTOR)
if selected_hook_id != 0:
my_hook = extractions.get_webhook(selected_hook_id)
my_extractor = extractions.get_hook_extractor(selected_hook_id)
# TODO: update validator to avoid default hook 0 names
updated_extractor = input_group(
"Hook data and hook extractor",
[
input("name",
type=TEXT,
name="name",
value=my_hook["name"],
required=True), # Need to get a way to carry around the IDs
input("path",
type=TEXT,
name="path",
value=my_hook["path"],
required=True), # Need to get a way to carry around the IDs
input(
"queue_name",
type=TEXT,
name="queue_name",
value=my_hook["queue_name"],
required=True,
), # Need to get a way to carry around the IDs
textarea(
"Example message",
name="example",
rows=10,
code={
"mode": "python", # code language
"theme":
"darcula", # Codemirror theme. Visit https://codemirror.net/demo/theme.html#cobalt to get more themes
},
value=my_extractor["example"],
),
textarea(
"Edit an extraction rule",
name="extractor",
rows=10,
code={
"mode": "python", # code language
"theme":
"darcula", # Codemirror theme. Visit https://codemirror.net/demo/theme.html#cobalt to get more themes
},
value=my_extractor["extractor"],
),
actions(
"actions",
[
{
"label": "test",
"value": "test"
},
{
"label": "save",
"value": "save"
},
],
name="action",
help_text="Save or test",
),
],
validate=test_extractor,
)
# Pretty much can't be none, but let's follow the example from
# https://pywebio.readthedocs.io/en/latest/input.html#pywebio.input.actions
if updated_extractor is not None:
uex = dict(updated_extractor)
if uex["action"] == "save":
webhook_info = extractions.save_webhook(selected_hook_id,
uex["name"], uex["path"],
uex["queue_name"])
extractor_info = extractions.save_extractor(
uex["name"], webhook_info["id"], uex["extractor"],
uex["example"])
put_row(put_text("Webhook"))
put_row(put_code(pprint.pformat(webhook_info, indent=1)))
put_row(put_text("Extractor"))
put_row(put_code(pprint.pformat(extractor_info, indent=1)))
def main():
"""BMI Calculation
Simple application for calculating Body Mass Index.
计算BMI指数的简单应用
"""
put_markdown(t(
"""# Body Mass Index
[Body mass index](https://en.wikipedia.org/wiki/Body_mass_index) (BMI) is a measure of body fat based on height and weight that applies to adult men and women.
BMI Categories:
| Category | BMI |
| -------------------- | ------------- |
| Severely underweight | BMI<14.9 |
| Underweight | 14.9≤BMI<18.4 |
| Normal | 18.4≤BMI<22.9 |
| Overweight | 22.9≤BMI<27.5 |
| Moderately obese | 27.5≤BMI<40 |
| Severely obese | BMI≥40 |
## BMI calculation
The source code of this application is [here](https://github.com/wang0618/PyWebIO/blob/dev/demos/bmi.py)
""", """# BMI指数
[`BMI指数`](https://baike.baidu.com/item/%E4%BD%93%E8%B4%A8%E6%8C%87%E6%95%B0/1455733)（Body Mass Index，BMI），是用体重千克数除以身高米数的平方得出的数字，是国际上常用的衡量人体胖瘦程度以及是否健康的一个标准。
成年人的BMI值处于以下阶段
| 体形分类 | BMI值范围 |
| ------ | -------- |
| 极瘦 | BMI<14.9 |
| 偏瘦 | 14.9≤BMI<18.4 |
| 正常 | 18.4≤BMI<22.9 |
| 过重 | 22.9≤BMI<27.5 |
| 肥胖 | 27.5≤BMI<40 |
| 非常肥胖 | BMI≥40 |
## BMI指数计算器
本程序的源代码[链接](https://github.com/wang0618/PyWebIO/blob/dev/demos/bmi.py)
"""),
strip_indent=4)
info = input_group(t('BMI calculation', '计算BMI：'), [
input(t("Your Height(cm)", "请输入你的身高(cm)"), name="height", type=FLOAT),
input(t("Your Weight(kg)", "请输入你的体重(kg)"), name="weight", type=FLOAT),
])
BMI = info['weight'] / (info['height'] / 100)**2
top_status = [(14.9, t('Severely underweight', '极瘦')),
(18.4, t('Underweight', '偏瘦')), (22.9, t('Normal', '正常')),
(27.5, t('Overweight', '过重')),
(40.0, t('Moderately obese', '肥胖')),
(float('inf'), t('Severely obese', '非常肥胖'))]
for top, status in top_status:
if BMI <= top:
put_markdown(
t('Your BMI: `%.1f`, Category: `%s`',
'你的 BMI 值: `%.1f`，身体状态: `%s`') % (BMI, status))
break
def central():
###differantiation order
dd=input("order of differentiation：", type=NUMBER)
put_text('order of differentiation',(dd))
put_html('<hr>')
###hex of smal step h is
hs=dd
#### order of error
err=input("order of error must be even number 2 or 4 only：", type=NUMBER)
put_text('order of error',(err))
put_html('<hr>')
#total number of points in cosideration
put_text('please provide only integer number ')
put_text('for error order result if its greter than this please relod web and try max limit integer number is equal or less than (in central diff scheme) in between ',int(-1*(dd+err-1)/2),'and ',int((dd+err-1)/2))
put_html('<hr>')
put_text('if for example -3.5 to 3.5 is shown limit then take max_limit and min_limit as -3 to 3 only neglect 0.5')
put_text('take limits from -3 to 3 for example ,so points in cosiderations are -3,-2,-1,0,1,2,3 total n is 7')
n = input("number of points in cosideration：", type=NUMBER)
put_text('stencil number',(n))
#take limits from -3 to 3 for example ,so points in cosiderations are -3,-2,-1,0,1,2,3 total n is 7
put_text('-3 to 3 for example ,so points in cosiderations are -3,-2,-1,0,1,2,3 so min_limit as -3')
min_limit = input("Input your minimum limit：", type=NUMBER)
put_text('yor stencils max limit is ',(min_limit))
put_html('<hr>')
#max limit
put_text('-3 to 3 for example ,so points in cosiderations are -3,-2,-1,0,1,2,3 so max_limit as 3')
max_limit = input("Input your max_limit：", type=NUMBER)
put_text('yor stencils max limit is ',(max_limit))
put_html('<hr>')
####makiuing array
a0 = np.linspace(min_limit,max_limit,n)
a0= np. array(a0)
# making n*n matrix
a=np.tile(a0, (n,1))
#print(a)
a=np.array(a)
### making indices
b=np.linspace(0,n-1)
b=np.arange(0, n).reshape(n,1)
it = np.nditer([a, b, None], flags=['external_loop'])
with it:
for x, y, z in it:
z[...] = x**y
result = it.operands[2]
#result
bb=result
########Inserting whre one is going to come
az=np.zeros(n-1)
yy=np.insert(az,dd, 1)
#output capture from print
old_stdout = sys.stdout
new_stdout = io.StringIO()
sys.stdout = new_stdout
for i in np.nditer(a0):
print(sp.symbols('f(x+({}*h))'.format(i)))
output = new_stdout.getvalue()
sys.stdout = old_stdout
j=output
############solving matrix
hh = np.linalg.solve(bb, yy)
a = hh*np.math.factorial(dd)
#print(a)
############ symbols manupalation and list to symbols conversion
##print(type(j))
d = [x.replace('\n', ' ') for x in j]
# Original Array
array = np.array(j, dtype=np.str)
#print(array)
# Split the element of the said array
# with spaces
sparr = np.char.split(array) # imp step str to array numpy
#print(sparr)
d=np.asarray(sparr,dtype=object)
d = d.tolist() # convert to list
#print(d)
d=sp.symbols(d)
d=np.array(d)
#print(d)
######multiplyer
B=np.array(a)
#B=B.astype(str)
#c = B.tolist()
c=B.astype(object)
#print(c)
re.sub(r' *\n *', '\t',np.array_str(np.c_[c,d]).replace('[', '(').replace(']', ')').strip())
res = "\t".join("({}*{})+".format(x, y) for x, y in zip(c, d))
name = res.rstrip(res[-1])
#print('(',name,')','*','*1/h**',hs)
######captiring print
old_stdout = sys.stdout
new_stdout = io.StringIO()
sys.stdout = new_stdout
print('(',name,')','*','1/h**',hs)
kj = new_stdout.getvalue()
sys.stdout = old_stdout
def remove(string):
pattern = re.compile(r'\s+')
return re.sub(pattern, '', string)
# Driver Program
string = kj
#remove will remove all spaces
yy=remove(string)
#put_text('%s' % (remove(string)))
#making variable to latex plote
y=py2tex(yy,print_latex=False, print_formula=False)
o=y.replace('+-','-')
#put_text('%s' % o)
def org(o):
w=o
p=w
pp=p.replace('$$',' ')
tt=" ' "
#string="r"
#pg=string+pp
#tg=" ' "
pg=tt+pp+tt
return pg
t=org(o)
###matplotlib
lat = t
# #add text
# ax = plt.axes([1,0,0.1,0.1]) #left,bottom,width,height
# ax.set_xticks([])
# ax.set_yticks([])
# ax.axis('off')
# plt.text(0.2,0.2,r'$%s$' % lat ,size=500,color="red",fontsize=100)
# #hide axes
# fig = plt.gca()
# fig.axes.get_xaxis().set_visible(False)
# fig.axes.get_yaxis().set_visible(False)
# plt.savefig('images/out.jpeg', bbox_inches='tight', pad_inches=0)
# plt.close()
#save image
# img = open('images/out.jpeg', 'rb').read()
# put_image(img, width='500000000px')
put_html('<hr>')
put_text('this is python output %s' % yy)
put_html('<hr>')
#visualize equation
tpl = '''<!DOCTYPE html><html><head> <meta charset="utf-8"> <meta name="viewport" content="width=device-width"> <title>MathJax example</title> <script src="https://polyfill.io/v3/polyfill.min.js?features=es6"></script> <script id="MathJax-script" async src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"> </script></head><body><p>{{#contents}}{{& pywebio_output_parse}}{{/contents}}</p></body></html>'''
# tpl = '''<!DOCTYPE html>
# <html><head> <meta charset="utf-8">
# <meta name="viewport" content="width=device-width">
# <title> </title>
# <script src="https://polyfill.io/v3/polyfill.min.js?features=es6"></script>
# <script id="MathJax-script" async src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"> </script>
# </head>
# <body>
# <p>{{#contents}}{{& pywebio_output_parse}}{{/contents}}
# </p>
# </body>
# </html>'''
put_widget(tpl, {"contents": [put_text((lat))]})
#for latex output
put_html('<hr>')
put_text('upper is latex out put %s' % o)
'''from pywebio.input import *
from pywebio.output import *
def linear_Search(list,key):
for i in range(len(list)):
if(key==list[i]):
print("element found in the list at index:", i)
break
else:
print("required element not found in the list")
list=[1,2,3,4,5,6]
key=int(input("enter the value of key:\t"))
linear_Search(list,key)'''
#Linear Search without Function
from pywebio.input import input, FLOAT
from pywebio.output import put_text
num = input("enter the desired element :", type=FLOAT)
list = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
for i in range(len(list)):
if num == list[i]:
put_text("element is found")
break
else:
put_text("required element is not found")
#!/usr/bin/env python3
# vim: set fileencoding=utf-8
import pywebio.input as inp
import pywebio.output as out
# Body Mass Index calculator
info = inp.input_group("Entry", [
inp.input("Mass (kg)", name="mass", type=inp.NUMBER),
inp.input("Height (cm)", name="height", type=inp.NUMBER)
])
mass = info["mass"]
height = info["height"]
# převod výšky na metry
height = height / 100.0
# výpočet (bez jakýchkoli kontrol)
bmi = mass / (height * height)
# výpis výsledku
out.put_info("BMI = ", bmi)
