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)