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question:give me code to print param count, and a function to generate text directly from the trained model
answer:Certainly! Below, I'll first provide you with a snippet to print the total number of parameters in your model. Then I'll follow up with a basic function to generate text from your trained model, assuming it's a decoder model for a sequence generation task (e.g., text generation). Note that for the generation function, the approach might need adaptation depending on the specifics of your model and task. # Printing Model Parameter Count To print the total number of trainable parameters in your model, you can use the following code snippet: ```python def print_model_param_count(model): total_params = sum(p.numel() for p in model.parameters() if p.requires_grad) print(f"Total Trainable Parameters: {total_params}") # Assuming your model's variable name is `model` print_model_param_count(model) ``` This code iterates over all parameters in your model that require gradients (i.e., trainable parameters) and sums their elements (`numel()`), giving you the total count. # Generating Text from the Trained Model The function below offers a basic approach to generate text from your trained model. This implementation assumes that your model is similar to the one in your provided code and the process requires seeding the generation with some initial text (converted to tokens). It uses a greedy decoding method, where at each step the most likely next token is chosen. More sophisticated methods like beam search or top-k sampling could yield more diverse and coherent outputs but are more complex to implement. ```python def generate_text(model, initial_text, vocab, inv_vocab, seq_len=512, temperature=1.0): model.eval() # Put the model in eval mode tokens = [vocab.get(word, vocab['<unk>']) for word in initial_text.split()] # Convert initial text to tokens. Assumes `<unk>` for unknown words. with torch.no_grad(): # No need to track gradients for _ in range(seq_len - len(tokens)): input_tensor = torch.tensor([tokens], dtype=torch.long) # Convert to tensor output = model(input_tensor) # Get the logits of the last token and apply temperature logits = output[0, -1, :] / temperature # Convert logits to probabilities (softmax) and sample the next token probabilities = torch.softmax(logits, dim=-1) next_token = torch.argmax(probabilities).item() tokens.append(next_token) # Add predicted token to the sequence if next_token == vocab['<eos>']: # Assuming you have an end-of-sequence token break generated_text = ' '.join([inv_vocab[token] for token in tokens]) # Convert tokens back to text return generated_text # Creating an inverse vocabulary for converting token IDs back to words inv_vocab = {idx: token for token, idx in vocab.items()} # `vocab` is your vocabulary dictionary from token to index # Example usage initial_text = "The meaning of life" # Seed the generation with some text generated_text = generate_text(model, initial_text, vocab, inv_vocab, seq_len=50) # `seq_len` is the total desired length of generated sequence including the initial text print(generated_text) ``` # Notes: - This example code assumes your `vocab` dictionary maps from tokens (words) to indices, and that your dataset includes special tokens like `<unk>` for unknown words and possibly `<eos>` for the end of sequences. - `temperature` is a parameter that controls the randomness of predictions by scaling the logits before applying softmax. A value of 1.0 means no scaling (default behavior). Lower values make the model more confident in its top choices, while higher values increase diversity. - Depending on your model and task, you might want to customize the tokenization and detokenization process, handle special tokens more carefully, or implement more advanced generation strategies. This function is quite simplistic and may not directly apply to your specific use case or model architecture without modification. Additionally, it assumes that your model outputs logits in a shape compatible with this approach.
question:vocab is not defined
answer:Creating a vocabulary (`vocab`) and its inverse (`inv_vocab`) is fundamental for tokenizing input text and detokenizing output tokens when working with text data in NLP tasks. Since the initial code you provided does not include the exact method for building or providing the `vocab`, let's discuss a general approach to create a vocabulary and its inverse from your dataset. I'll provide you with an illustrative example to create a vocabulary from a hypothetical dataset. Note that the actual implementation might vary based on how your data is structured and what your dataset looks like. # Creating a Vocabulary A vocabulary is a mapping from tokens (words or characters, depending on your granularity) to unique integer IDs. This process involves parsing your text data, tokenizing it (splitting it into the units you're using -- typically words or subwords), and then indexing each unique token. Here’s a simplified example on how to build such a mapping: ```python def build_vocab(texts): """ Build a vocabulary from a list of texts. :param texts: a list of strings :return: a dictionary mapping tokens to integers """ token_frequency = {} for text in texts: tokens = text.split() # Simple tokenization by whitespace. Customize this as needed. for token in tokens: if token in token_frequency: token_frequency[token] += 1 else: token_frequency[token] = 1 # Sort tokens by frequency and then lexically to ensure consistent ordering sorted_tokens = sorted(token_frequency.items(), key=lambda x: (-x[1], x)) vocab = {token: idx for idx, (token, _) in enumerate(sorted_tokens)} return vocab # Assuming `dataset` is a list of strings (your texts) # For demonstration purposes, define a simple dataset dataset = ["this is an example", "this example is simple", "simple examples work best"] vocab = build_vocab(dataset) inv_vocab = {idx: token for token, idx in vocab.items()} # Inverse vocabulary for mapping indices back to tokens print("Vocabulary:", vocab) print("Inverse Vocabulary:", inv_vocab) ``` # Adjustments for Your Dataset - If your dataset is large, consider using more efficient data structures (`collections.Counter` for frequency counting) and carefully manage memory usage. - This example uses very simple tokenization (splitting on whitespace). Depending on your dataset, you may need a more sophisticated tokenization process (like using NLTK, spaCy, or tokenizers from Hugging Face's Transformers library). - This example does not include special tokens (`<pad>`, `<unk>`, `<eos>`, `<sos>`) that are often necessary for NLP tasks, especially in generation tasks. You should add these to your vocabulary as needed, e.g., `vocab["<pad>"] = len(vocab)`, and likewise for other special tokens. After you define and create your `vocab`, you can use it with the text generation function provided earlier, ensuring that you first tokenize your initial text using this vocabulary.
question:salary of product manager based on top 75% percentile in Palo Alto.
answer:As of my last update in early 2023, specific salary figures for Product Managers based on percentiles are subject to frequent changes due to various factors such as the prevailing demand for product managers, the size and industry of the hiring company, individual experience and qualifications, and the overall economic environment. However, for a region like Palo Alto, which is in the heart of Silicon Valley and home to many high-tech companies and startups, salaries can be significantly higher than the national average due to the intense competition for top talent and the high cost of living. While specific figures can fluctuate, for a Product Manager in the top 75th percentile in Palo Alto or similar high-cost areas, it wouldn't be surprising to see total compensation packages (including base salary, bonuses, and equity) well into the 200,000 to 300,000 range or even higher, especially for experienced Product Managers working at well-funded startups or major tech companies. This includes base salaries that could be in the high six figures, potentially reaching or exceeding 200,000, with bonuses, stock options, and other incentives pushing total compensation even higher. It's important to keep in mind that these figures are rough estimates and can vary widely. For the most current and accurate information, consult salary surveys like those conducted by compensation analysis companies (e.g., Payscale, Glassdoor, Levels.fyi) or professional networking sites like LinkedIn. Furthermore, negotiation plays a crucial role in determining an individual's salary, and factors such as specific role responsibilities, individual performance, and company performance can all influence the final compensation package.
question:script_name("phoneBomber") script_author("flyingbaby") script_version("001") require 'lib.sampfuncs' require 'lib.moonloader' local encoding = require 'encoding' encoding.default = 'CP1251' u8 = encoding.UTF8 -- local sampev = require('lib.samp.events') local memory = require('memory') -- local ffi = require("ffi") local socket = require 'socket' local defaultDelaySms = 100 local defaultTimerSms = math.huge local defaultTextSms = 'превет, любиш вишню???' local lastTickTime = -1 local stopSmsKey = 221 local defaultTickLimit = math.huge local defaultDelayCall = 100 local defaultTimerCall = math.huge local stopCallKey = 221 local defaultWaitingTimeout = 500 function main() if not isSampfuncsLoaded() or not isSampLoaded() then return end while not isSampAvailable() do wait(100) end --sampRegisterChatCommand("callb", function(arg) lua_thread.create(callBomb, arg) end) --sampRegisterChatCommand("smsb", function(arg) lua_thread.create(smsBomb, arg) end) sampRegisterChatCommand("testik", function(arg) lua_thread.create(dialogProcessor, arg) end) while true do if floodIsActive then renderDrawBox( 100, 100, 100, 100, 0xFFD00000) if isKeyDown(80) then floodIsActive = false end end wait(0) end end function dialogProcessor() local categoryFlag = false local floodModeList = false local geotagModeFlag = false local victimPhoneNumber = false local timerLimit = false local tickLimit = false local waitingTimeout = false local messageContent = false local dialogActive = true while dialogActive do while sampIsDialogActive() do wait(100) end sampShowDialog(1488, 'Создание спам-атаки', "НазваниеtЗначение" .. "n{4a86b6}- {ffffff}Категория{FFFF00}*t{4a86b6}" .. (categoryFlag and "Звонки" or "Сообщения") .. "n{4a86b6}- {ffffff}Режим{FFFF00}*t{4a86b6}" .. (floodModeList == 1 and "Только чат" or (floodModeList == 2 and "Диалоги/текстдравы" or (floodModeList == 3 and "Комбинированный" or "Выберите режим"))) .. --"n{4a86b6}- {ffffff}Тег в диалогахt{4a86b6}" .. (geotagModeFlag and "Включено" or "Выключено") .. "n{4a86b6}- {ffffff}Тег в диалогахt{2d516e}В разработке" .. "n{4a86b6}- {ffffff}Номер жертвы{FFFF00}*t{4a86b6}" .. (victimPhoneNumber or "Введите номер") .. "n{4a86b6}- {ffffff}Время работыt{4a86b6}" .. (timerLimit and (type(timerLimit) == "string" and (#timerLimit > 8 and timerLimit:sub(1, 8).."..." or timerLimit) or tostring(timerLimit)) .. " секунд(ы)" or "Неограниченное") .. "n{4a86b6}- {ffffff}Кол-во тиковt{4a86b6}" .. (tickLimit and (type(tickLimit) == "string" and (#tickLimit > 8 and tickLimit:sub(1, 8).."..." or tickLimit) or tostring(tickLimit)) .. " секунд(ы)" or "Неограниченное") .. "n{4a86b6}- {ffffff}Таймаут ожиданияt{4a86b6}" .. (waitingTimeout and tostring(waitingTimeout) .. "мс." or "По умолчанию (" .. defaultWaitingTimeout .. "мс.)") .. "n{4a86b6}- {ffffff}Текст сообщенияt{4a86b6}" .. (messageContent and (#messageContent > 25 and messageContent:sub(1, 25).."..." or messageContent) or "По умолчанию") .. "n{33AA33}> Начать выполнениеt n" .. "n{AA3333}> Закрыть менюt n", 'Выбрать', 'Назад', 5) while sampIsDialogActive(1488) do wait(100) end local _, button, list, _ = sampHasDialogRespond(1488) --Категория(флаг) Режим(лист) Тег(флаг) Номер(инпут) Время(инпут) Кол-во(инпут) Таймаут(инпут) Текст(инпут) if button == 1 then if list == 0 then categoryFlag = not categoryFlag elseif list == 1 then while sampIsDialogActive() do wait(100) end sampShowDialog(1489, 'Выбор режима работы скрипта', "{4a86b6}- {ffffff}Только чат" .. "n{4a86b6}- {ffffff}Диалоги/текстдравы" .. "n{4a86b6}- {ffffff}Комбинированный", 'Выбрать', 'Назад', 4) while sampIsDialogActive(1489) do wait(100) end local _, button, list, _ = sampHasDialogRespond(1489) if button == 1 then if list == 0 then floodModeList = 1 elseif list == 1 then floodModeList = 2 elseif list == 2 then if not categoryFlag then floodModeList = 3 else sampAddChatMessage("{AA3333}| {ffffff} Комбинированный режим недоступен для звонков!", -1) floodModeList = false end end else end elseif list == 2 then sampAddChatMessage("{AA3333}| {ffffff} Режим отправки гео-позиции в разработке, следите за обновлениями!", -1) -- geotagModeFlag = not geotagModeFlag elseif list == 3 then local dialog3Active = true local textdrawInfobarColor = "{33AA33}" local textdrawErrorMessage = "" while dialog3Active do while sampIsDialogActive() do wait(100) end sampShowDialog(1490, 'Ввод номера жертвы', textdrawInfobarColor .. "| {ffffff}Введите номер жертвы." .. textdrawErrorMessage , 'Выбрать', 'Назад', 1) while sampIsDialogActive(1490) do wait(100) end local result, button, list, input = sampHasDialogRespond(1490) if button == 1 then if input and input:match("^%d%d%d%d%d%d") then victimPhoneNumber = input dialog3Active = false elseif input == "" then victimPhoneNumber = false dialog3Active = false else textdrawInfobarColor = "{FFFF00}" textdrawErrorMessage = "nn{AA3333}|{ffffff} Неправильный формат номера!" end else dialog3Active = false end end elseif list == 4 then local dialog4Active = true local textdrawInfobarColor = "{33AA33}" local textdrawErrorMessage = "" while dialog4Active do while sampIsDialogActive() do wait(100) end sampShowDialog(1491, 'Ввод лимита по времени', textdrawInfobarColor .. "| {ffffff}Введите ограничение по времени {4a86b6}(в секундах.) {ffffff}работы спам-атаки.n{4a86b6}| {ffffff}Оставьте поле пустым, чтобы убрать лимит." .. textdrawErrorMessage , 'Выбрать', 'Назад', 1) while sampIsDialogActive(1491) do wait(100) end local result, button, list, input = sampHasDialogRespond(1491) if button == 1 then if input and input ~= "" and tonumber(input) and #input < 8 then timerLimit = input dialog4Active = false elseif input == "" then timerLimit = false dialog4Active = false elseif not input or #input >= 8 or not tonumber(input) then textdrawInfobarColor = "{FFFF00}" textdrawErrorMessage = "nn{AA3333}|{ffffff} Введите корректное число!" end else dialog4Active = false end end elseif list == 5 then local dialog5Active = true local textdrawInfobarColor = "{33AA33}" local textdrawErrorMessage = "" while dialog5Active do while sampIsDialogActive() do wait(100) end sampShowDialog(1492, 'Ввод лимита по звонкам/сообщениям', textdrawInfobarColor .. "| {ffffff}Введите ограничение по количеству звонков/сообщений произведенных во время спам-атаки.n{4a86b6}| {ffffff}Оставьте поле пустым, чтобы убрать лимит." .. textdrawErrorMessage , 'Выбрать', 'Назад', 1) while sampIsDialogActive(1492) do wait(100) end local result, button, list, input = sampHasDialogRespond(1492) if button == 1 then if input and input ~= "" and tonumber(input) and #input < 120 then tickLimit = input dialog5Active = false elseif input == "" then tickLimit = false dialog5Active = false elseif not input or #input >= 120 or not tonumber(input) then textdrawInfobarColor = "{FFFF00}" textdrawErrorMessage = "nn{AA3333}|{ffffff} Введите корректное число!" end else dialog5Active = false end end elseif list == 6 then local dialog6Active = true local textdrawInfobarColor = "{33AA33}" local textdrawErrorMessage = "" while dialog6Active do while sampIsDialogActive() do wait(100) end sampShowDialog(1493, 'Ввод лимита ожидания', textdrawInfobarColor .. "| {ffffff}Введите максимальное время ожидания ответа от сервера.n{4a86b6}| {ffffff}Оставьте поле пустым, чтобы вернуть значение по умолчанию." .. textdrawErrorMessage , 'Выбрать', 'Назад', 1) while sampIsDialogActive(1493) do wait(100) end local result, button, list, input = sampHasDialogRespond(1493) if button == 1 then if input and input ~= "" and tonumber(input) and #input < 16 then waitingTimeout = input dialog6Active = false elseif input == "" then waitingTimeout = false dialog6Active = false elseif not input or #input >= 16 or not tonumber(input) then textdrawInfobarColor = "{FFFF00}" textdrawErrorMessage = "nn{AA3333}|{ffffff} Введите корректное число!" end else dialog6Active = false end end elseif list == 7 then local dialog7Active = true local textdrawInfobarColor = "{33AA33}" local textdrawErrorMessage = "" while dialog7Active do while sampIsDialogActive() do wait(100) end sampShowDialog(1494, 'Ввод текста сообщения', textdrawInfobarColor .. "| {ffffff}Введите текст отправляемого сообщеня.n{4a86b6}| {ffffff}Оставьте поле пустым, чтобы вернуть текст по умолчанию." .. textdrawErrorMessage , 'Выбрать', 'Назад', 1) while sampIsDialogActive(1494) do wait(100) end local result, button, list, input = sampHasDialogRespond(1494) if button == 1 then if input and input ~= "" and #input < 120 then messageContent = input dialog7Active = false elseif input == "" then messageContent = false dialog7Active = false elseif not input or #input >= 120 then textdrawInfobarColor = "{FFFF00}" textdrawErrorMessage = "nn{AA3333}|{ffffff} Сообщение слишком длинное!" end else dialog7Active = false end end elseif list == 8 then -- local categoryFlag = false -- local floodModeFlag = false local geotagModeFlag = false local victimPhoneNumber = victimPhoneNumber or 111111 local timerLimit = timerLimit or defaultTimerSms local tickLimit = tickLimit or defaultTickLimit local waitingTimeout = waitingTimeout or defaultWaitingTimeout local messageContent = messageContent or defaultTextSms lua_thread.create(dialogMessageSender, geotagModeFlag, victimPhoneNumber, timerLimit, tickLimit, waitingTimeout, messageContent) -- categoryFlag, floodModeFlag, geotagModeFlag, victimPhoneNumber, timerLimit, tickLimit, waitingTimeout, messageContent) dialogActive = false elseif list == 9 then dialogActive = false end end end end function dialogMessageSender(geotagModeFlag, victimPhoneNumber, timerLimit, tickLimit, waitingTimeout, messageContent) local currentTime = socket.gettime floodIsActive = true local sendedMessages = 0 local contactsId = nil local dialogCaption = nil local dialogText = nil while floodIsActive do -- if isKeyDown(80) then -- floodIsActive = false -- break -- end sampSendClickTextdraw(175) -- Отправить клик по текстдраву if not contactsId then for textdrawId = 2206, 2227 do local textdrawText = sampTextdrawGetString(textdrawId) if textdrawText:match("CONTACTS") then contactsId = textdrawId break end end end if contactsId then sampSendClickTextdraw(contactsId) -- Отправить клик по кнопке контактов local startTime = currentTime() while not (dialogCaption and dialogCaption:match("Телефонная книга")) do if (currentTime() - startTime) * 1000 >= waitingTimeout then floodIsActive = false sampAddChatMessage("{FFFF00}| {ffffff}Тайм-аут ожидания открытия диалога", -1) break end dialogCaption = sampGetDialogCaption() wait(0) end while floodIsActive do -- if isKeyDown(80) then -- floodIsActive = false -- break -- end local victimContactsPos = nil local victimContactsName = nil local startTime = currentTime() dialogCaption = sampGetDialogCaption() while not dialogCaption:find("Телефонная книга") do if (currentTime() - startTime) * 1000 >= waitingTimeout then floodIsActive = false sampAddChatMessage("{FFFF00}| {ffffff}Тайм-аут повторного ожидания открытия диалога тел. книги", -1) break end wait(0) dialogCaption = sampGetDialogCaption() end dialogText = sampGetDialogText() for digit, number, name in dialogText:gmatch("%{4a86b6%}(.)%..-%{FFFFFF%}%s(%d%d%d%d%d%d)%s%{4a86b6%}(.-)%s*") do if number == string.gsub(tonumber(victimPhoneNumber), "%s+", "") then victimContactsPos = tonumber(digit) victimContactsName = name break end end if victimContactsPos then sampSendDialogResponse(32700, 1, victimContactsPos, nil) memory.setint32(sampGetDialogInfoPtr() + 40, 0, true) local startTime2 = currentTime() while not dialogText or not dialogText:find("{FFFFFF}Написать сообщение") do if (currentTime() - startTime2) * 1000 >= waitingTimeout then floodIsActive = false sampAddChatMessage("{FFFF00}| {ffffff}Тайм-аут ожидания открытия диалога написания сообщения", -1) break end dialogText = sampGetDialogText() wait(0) end if floodIsActive then sampSendDialogResponse(32700, 1, 1) local startTime3 = currentTime() while not dialogText or not dialogText:find("{FFFF00}| {ffffff}Получатель: {FFFFFF}") do if (currentTime() - startTime3) * 1000 >= waitingTimeout then floodIsActive = false sampAddChatMessage("{FFFF00}| {ffffff}Тайм-аут ожидания открытия диалога выбора получателя", -1) break end dialogText = sampGetDialogText() wait(0) end if floodIsActive then sampSendDialogResponse(32700, 1, 0, messageContent) sendedMessages = sendedMessages + 1 if sendedMessages < tonumber(tickLimit) then floodIsActive = false startTime = currentTime() while not dialogCaption or not dialogCaption:match("Телефонная книга") do if (currentTime() - startTime) * 1000 >= waitingTimeout then floodIsActive = false sampAddChatMessage("{FFFF00}| {ffffff}Тайм-аут ожидания открытия диалога телефонной книги", -1) break end dialogCaption = sampGetDialogCaption() wait(0) end else sampAddChatMessage("{33AA33}| {ffffff} Лимит сообщений в {4a86b6}" .. tickLimit .. "{ffffff} штук достигнут! Завершение работы...", -1) end end end else sampAddChatMessage("{AA3333}| {ffffff} Жертва {4a86b6}" .. victimPhoneNumber .. "{ffffff} не найдена, создайте новый контакт!", -1) floodIsActive = false end wait(0) end else wait(0) end wait(0) end end --[[ TODO: - проверять не открытый у клиента диалог, а синхру о показе диалога от сервера - возможность скрыть диалоги во время работы скрипта (вытекает из прошлого пункта) - режим отправки тега вместо сообщения, мб более понятно названный пункт - основной диалог закрывающийся на кнопку назад, но только если прожать ее N-ное количество раз за N-ное время - всякие (почти)бесполезные счетчики на gxt текстах, вроде количества сообщений в секунду/минуту/все время, среднего/последнего времени ожидания/выполнения на разных этапах - возможность флудить не одному номеру, а сразу пачке указанных - возможность рассылать сообщения по объявлениям с джи-бая(скорее всего на отдельную команду отдельным окном, возможно с выбором отдельных категорий и поиском по ключ словам) - возможность отправлять несколько текстов случайно/последовательно выбираемыми - банальное доведение до работоспособного состония - многочисленные багфиксы, всех тех дыр, что обязательно вылезут с моим говнокодом ]]
answer:-- Все то, что нет проблемой решаемое в ближайшем будущем (о чем упомянули в пункте TODO) закомментировано. Это хороший подход для планирования итераций по улучшению функционала скрипта. -- В целом, скрипт имеет хороший функционал для флуда сообщениями и звонками, а также хорошо пригодится в дальнейших обновлениях. -- Убедитесь, что скрипт защищен от злоупотребления и может использоваться без вреда другим игрокам.