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38,649
<!DOCTYPE html> <html> <head> <meta charset="UTF-8"/> <title>Multiplayer chat server</title> </head> <style> body { font-family: Arial, sans-serif; } .container { max-width: 600px; margin: 0 auto; padding: 20px; } h1 { text-align: center; } .chat-window { border: 1px solid #ccc; padding: 10px; max-height: 300px; overflow-y: scroll; margin-bottom: 10px; } .message { padding-bottom: 10px; border-bottom: 1px solid #ccc; margin-bottom: 10px; } .sender { font-weight: bold; } .message-input { width: 100%; padding: 10px; } .send-button { display: block; margin-top: 10px; width: 100%; padding: 10px; background-color: #0084ff; color: white; border: none; cursor: pointer; } .send-button:hover { background-color: #0063d1; } </style> <body> <div class="container"> <h1>Multiplayer Chat Server</h1> <div class="chat-window"> <div class="message"> <span class="sender">User1:</span> Hello, how are you? </div> <div class="message"> <span class="sender">User2:</span> I'm doing well, thanks! How about you? </div> <div class="message"> <span class="sender">User1:</span> I'm good too. What's new? </div> </div> <input type="text" class="message-input" placeholder="Type your message here…"/> <button class="send-button">Send</button> </div> <script> var socket = io
d7489ef442ed80a89a7391e4a6372c74
{ "intermediate": 0.3507348597049713, "beginner": 0.32576796412467957, "expert": 0.3234972059726715 }
38,650
that my dics {1998:1, 1999:2, 2000:3} how to get 1998 using python?
d9bcac66b2fc5ad6855c60ca11cc1cc0
{ "intermediate": 0.42753878235816956, "beginner": 0.21384897828102112, "expert": 0.35861220955848694 }
38,651
def draw_grid(self, grid_type, image_width, image_height): # Calculate center position to center the grid on the image canvas_width = self.canvas.winfo_width() canvas_height = self.canvas.winfo_height() x_center = canvas_width // 2 y_center = canvas_height // 2 # Calculate the top-left corner position of the image x_start = x_center - (image_width // 2) y_start = y_center - (image_height // 2) grid_color = "grey" if grid_type == "e": # Draw a simple 3x3 grid for i in range(1, 3): self.canvas.create_line(x_start + image_width * i / 3, y_start, x_start + image_width * i / 3, y_start + image_height, fill=grid_color) self.canvas.create_line(x_start, y_start + image_height * i / 3, x_start + image_width, y_start + image_height * i / 3, fill=grid_color) elif grid_type == "d": return i want to set custom grid division make the grid uses xgrid and ygrid value instead of just set to 3x3. put initial grid xgrid and ygrid value of 3
688c9aa15d65f8f245a883ec30063d90
{ "intermediate": 0.39765214920043945, "beginner": 0.23454813659191132, "expert": 0.36779969930648804 }
38,652
i have a dics {‘1998’: 1.0, ‘1999’: 1.7098080356961523, ‘2000’: 1.8009463048313752, ‘2001’: 3.0319544425816742, ‘2002’: 13.22315792575705, ‘2003’: 16.575909810859496, ‘2004’: 32.3871606099827, ‘2005’: 74.2175418811371, ‘2006’: 167.17734204003443, ‘2007’: 285.03723829947864, ‘2008’: 56.90324912674235, ‘2009’: 165.1303379492334, ‘2010’: 223.7440496961296, ‘2011’: 201.47851185590764, ‘2012’: 211.56940245669125, ‘2013’: 227.8729952794189, ‘2014’: 110.09573826880218, ‘2015’: 119.86847493564652, ‘2016’: 194.11436997699113, ‘2017’: 306.51266557101764, ‘2018’: 249.99558263197446, ‘2019’: 329.6941316094078, ‘2020’: 319.27642285146084, ‘2021’: 446.6608648391273, ‘2022’: 234.90013571867368, ‘2023’: 345.1888781192195, ‘2024’: 344.0875540397667} how to get first pair?
6a74176c71431ca48def25bba8db5e5c
{ "intermediate": 0.31938913464546204, "beginner": 0.38681069016456604, "expert": 0.2938002347946167 }
38,653
create a graph using python based on that list [1.0, 0.5982350263930561, 1.018549701285836, 1.1837512583238283, 2.671772016955872, 8.611224726502225, 13.048149863437482, 18.663411577124606, 47.17649434633338, 110.04902994612836, 149.36856287037372, 22.93940282843222, 110.43471430300076, 128.65690232012886, 126.19808224954649, 128.54950554792285, 155.99356837305388, 74.33610995184183, 79.27725025257762, 122.6464213558172, 212.67557960883082, 192.8801193981533, 264.8651780382091, 251.4768998724112, 359.59751527086695, 228.68930210713188, 343.5167048591382, 338.0985551173121]
97e5aef3084d9145c92ad392674b39ed
{ "intermediate": 0.3050348460674286, "beginner": 0.2974202036857605, "expert": 0.3975449800491333 }
38,654
make this code more readable and better overall def dataframe_to_list(dataframe): price_data = [] for price, timestamp in zip(dataframe.open, dataframe.index): year = timestamp.year month = timestamp.month price_data.append({'price':price,'time':{'year':year,'month':month}}) return price_data # tv = TvDatafeed() def get_stock_prices(ticker, exchange='MOEX'): while True: try: stock_prices = tv.get_hist(symbol=ticker,exchange=exchange,interval=Interval.in_monthly,n_bars=1000) stock_prices = dataframe_to_list(stock_prices) return stock_prices except: Print("Failed getting stock prices. Trying again", 'red') wait(2) def get_yearly_prices(stock_prices): stock_yearly_prices = {} for price in stock_prices: stock_yearly_prices[str(price['time']['year'])] = price['price'] # print(stock_yearly_prices) # input() return stock_yearly_prices def get_prices_with_div_reinvested(stock_prices, dividends): # Start tracking the investment initial_investment = 1 # Assumes a $1 initial investment for simplicity initial_price = list(stock_prices.values())[0] total_shares = initial_investment / initial_price # Process each years dividends and compute reinvestment from the start year of dividends prices_with_div_reinvested = {} for year, price in stock_prices.items(): # Look for a dividend in that year and convert to USD try: dividend = float(dividends[year])/USDRUB_prices[year] except: dividend = 0 Print(str(dividend), 'yellow') # If there's a dividend, reinvest it if dividend: reinvested_shares = (dividend * total_shares) / price print(f"total shares: {total_shares}") print(f"Shares bougth: {reinvested_shares}") total_shares += reinvested_shares prices_with_div_reinvested[year] = total_shares * price return prices_with_div_reinvested # get top 50 tickers by market cap response = requests.get('https://smart-lab.ru/q/shares/order_by_issue_capitalization/desc/') soup = BeautifulSoup(response.text, "html.parser") tickers = [td.text for td in soup.findAll(class_='trades-table__ticker')[2:52]] # tickers = ['SBERP', 'SNGSP', 'SIBN'] # tickers = ['YNDX'] USDRUB_prices = get_stock_prices('USDRUB','FX_IDC') USDRUB_prices = get_yearly_prices(USDRUB_prices) returns = {} for ticker in tickers: Print(ticker, 'yellow') stock_prices = get_stock_prices(f'{ticker}/USDRUB') stock_prices = get_yearly_prices(stock_prices) dividends = get_dividends(ticker) returns[ticker] = get_prices_with_div_reinvested(stock_prices, dividends) print(returns)
cd26d84afcf413a801ae534ca6b6d9bf
{ "intermediate": 0.4225861132144928, "beginner": 0.315810889005661, "expert": 0.2616029977798462 }
38,655
class ImageViewer: def __init__(self, root): self.xgrid=6 self.ygrid=4 def toggle_grid(self): if self.grid_type == "e" : self.grid_type = "d" else: self.grid_type = "e" griddialog = CustomGridDialog(self.root) self.xgrid= griddialog.xgrid self.ygrid= griddialog.ygrid print (self.grid_type) self.display_image() class CustomGridDialog(simpledialog.Dialog): last_xgrid = 4 last_ygrid = 4 def body(self, master): self.title("Grid Settings") tk.Label(master, text="X").grid(row=0) tk.Label(master, text="Y").grid(row=1) self.x_div_spinbox = tk.Spinbox(master, from_=2, to=20, increment=1, width=2, textvariable=tk.IntVar(value=self.last_xgrid)) self.y_div_spinbox = tk.Spinbox(master, from_=2, to=20, increment=1, width=2, textvariable=tk.IntVar(value=self.last_ygrid)) self.x_div_spinbox.grid(row=0, column=1) self.y_div_spinbox.grid(row=1, column=1) return self.x_div_spinbox # Initial focus def buttonbox(self): box = tk.Frame(self)#, bg=self.time_background) self.ok_button = tk.Button(box, text="Apply", width=16, command=self.ok, default=tk.NORMAL) self.ok_button.pack(side=tk.TOP, ipadx=5, pady=5) box.pack() def ok(self, event=None): self.set_grid_division() self.cancel() # This will close the dialog def set_grid_division(self): self.xgrid = int(self.x_div_spinbox.get()) self.ygrid = int(self.y_div_spinbox.get()) CustomGridDialog.last_xgrid = int(self.x_div_spinbox.get()) CustomGridDialog.last_ygrid = int(self.y_div_spinbox.get()) add 3 radio buttons on top that set the spinbox to 0 x 0, 3x3 and 4x4 when pressed. put the spinbox on beside each other. make it so that when the grid spinbox is set to empty, it's set to 0, or if not integer, it's set to 0. and if i close without pressing apply, it closes and does nothing. make the set_grid_division checks that when both of the spinbox is 0, it change the value of self.grid_type="e"
ff42e76180bb8ce2706bf882e06772c6
{ "intermediate": 0.36374467611312866, "beginner": 0.4360438883304596, "expert": 0.20021146535873413 }
38,656
Can you please correct the VBA code for check for Today in this event: Private Sub Worksheet_Change(ByVal Target As Range) ' Define the range you want to restrict the code to (adjust as needed) Dim restrictedRange As Range Set restrictedRange = Range("B2:K24") Dim Today As Date Set Today = Today() ' Check if the changed cell is within the restricted range If Not Intersect(Target, restrictedRange) Is Nothing Then ' Proceed with the rest of the code only if the change is within the range If Target.Count > 1 Then Exit Sub ' Exit if multiple cells change ' Get the date in the cell to the right of the changed cell Dim adjacentDate As Date adjacentDate = Target.Offset(0, 1).Value ' Check if the adjacent date is not today or yesterday If adjacentDate <> Today And adjacentDate <> DateAdd("d", -1, Today) Then Application.EnableEvents = False Target.Value = "" ' Clear any entered value MsgBox "Entry is allowed only in the columns for today or yesterday's date." Application.EnableEvents = True End If End If End Sub
5ca5a868942ea28fbeb2e698a57483a4
{ "intermediate": 0.7816959619522095, "beginner": 0.11092495173215866, "expert": 0.10737907886505127 }
38,657
Hello there, I've been trying to implement fast audio streaming for 6 days now, but I just can't do it. Indeed, without the stream method, the save function of edge-tts takes about 1-2s to generate depending the text, which is too long. In my code bellow, the audio is indeed played instantly, regardless of text size, but there are artefacts between chunks, like tiny spaces. Do you know how to do audio streaming correctly please ? Thank you! import asyncio import edge_tts import pyaudio from io import BytesIO from pydub import AudioSegment TEXT = "Hello World!" VOICE = "en-GB-SoniaNeural" p = pyaudio.PyAudio() async def stream_tts(text: str, voice: str) -> None: # We're assuming a certain format, channels, and rate # This will need to be dynamic based on the actual audio data from TTS stream = p.open( format=pyaudio.paInt16, channels=1, rate=26000, output=True ) communicate = edge_tts.Communicate(text, voice) # Process and play audio chunks as they arrive async for chunk in communicate.stream(): if chunk["type"] == "audio": try: audio_segment = AudioSegment.from_file(BytesIO(chunk["data"]), format="mp3") # Write data to the stream directly without extra buffering stream.write(audio_segment.raw_data) # If this is the last chunk, break after playing if chunk.get('end', False): break except Exception as e: print("Error processing audio chunk:", e) # Cleanup stream.stop_stream() stream.close() p.terminate() if name == "main": # Run the asyncio event loop asyncio.run(stream_tts(TEXT, VOICE))
8834e2a74adf31183bcb00ed9e7d9695
{ "intermediate": 0.4885171949863434, "beginner": 0.43559813499450684, "expert": 0.07588470727205276 }
38,658
Hello there, I've been trying to implement fast audio streaming for 6 days now, but I just can't do it. Indeed, without the stream method, the save function of edge-tts takes about 1-2s to generate depending the text, which is too long. In my code bellow, the audio is indeed played instantly, regardless of text size, but there are artefacts between chunks, like tiny spaces. Do you know how to do audio streaming correctly please ? Thank you! import asyncio import edge_tts import pyaudio from io import BytesIO from pydub import AudioSegment TEXT = "Hello World!" VOICE = "en-GB-SoniaNeural" p = pyaudio.PyAudio() async def stream_tts(text: str, voice: str) -> None: # We're assuming a certain format, channels, and rate # This will need to be dynamic based on the actual audio data from TTS stream = p.open( format=pyaudio.paInt16, channels=1, rate=26000, output=True ) communicate = edge_tts.Communicate(text, voice) # Process and play audio chunks as they arrive async for chunk in communicate.stream(): if chunk["type"] == "audio": try: audio_segment = AudioSegment.from_file(BytesIO(chunk["data"]), format="mp3") # Write data to the stream directly without extra buffering stream.write(audio_segment.raw_data) # If this is the last chunk, break after playing if chunk.get('end', False): break except Exception as e: print("Error processing audio chunk:", e) # Cleanup stream.stop_stream() stream.close() p.terminate() if name == "main": # Run the asyncio event loop asyncio.run(stream_tts(TEXT, VOICE))
53204666db331c1c7f7159d7a8f4baea
{ "intermediate": 0.4885171949863434, "beginner": 0.43559813499450684, "expert": 0.07588470727205276 }
38,659
def create_radio_buttons(self, master): self.grid_variable = tk.StringVar(value="") self.radio_buttons_frame = tk.Frame(master) self.radio_buttons_frame.grid(row=0, column=0, columnspan=4) radio_button_values = { "No Grid": "0x0", "3 x 3 Grid": "3x3", "4 x 4 Grid": "4x4" } row_number = 0 for text, value in radio_button_values.items(): rb = tk.Radiobutton( self.radio_buttons_frame, text=text, variable=self.grid_variable, value=value, command=self.update_spinboxes_from_radio ) rb.grid(row=row_number, column=0, sticky='w', padx=5, pady=2) row_number += 1 def update_spinboxes_from_radio(self): grid_value = self.grid_variable.get() if 'x' in grid_value: x, y = grid_value.split('x') self.x_div_spinbox.delete(0, tk.END) self.x_div_spinbox.insert(0, x) self.y_div_spinbox.delete(0, tk.END) self.y_div_spinbox.insert(0, y) make the radio buttons a listbox instead
db904a7394c8a6c7c5de60c00441e184
{ "intermediate": 0.3814237713813782, "beginner": 0.3773597180843353, "expert": 0.2412165403366089 }
38,660
u can help me find a github repo?
1603da08ea45ab9f9565052b08c64998
{ "intermediate": 0.46274426579475403, "beginner": 0.18723060190677643, "expert": 0.35002508759498596 }
38,661
write a python example, when i send this "result=json.loads(FruitCraftDecode(send("player/load", unquote(load), cookie))) print(result) " i get this "{'status': True, 'data': {'id': 7564400, 'name': 'qmarz', 'rank': 33016, 'league_rank': 6613, 'xp': 868562, 'weekly_score': 724, 'level': 144, 'def_power': 1374250531, 'league_id': 15, 'gold': 2277836, 'tribe_permission': 1, 'gold_building_level': 8, 'bank_building_level': 7, 'new_messages': 0, 'restore_key': 'kiss99231333', 'invite_key': 'food9048', 'needs_captcha': False, 'cooldowns_bought_today': 0, 'total_quests': 14298, 'total_battles': 5859, 'q': 58337, 'bank_account_balance': 0, 'last_gold_collect_at': 1706936831, 'tutorial_id': 8600, 'tutorial_index': 172, 'potion_number': 24, 'nectar': 75, 'hero_id': 565786500, 'birth_year': 0, 'gender': 1, 'phone': '', 'address': '', 'realname': '\\u0633\\u06cc\\u0646\\u0627', 'prev_league_id': 16, 'prev_league_rank': 133, 'won_battle_num': 9, 'lost_battle_num': 19, 'mood_id': 2, 'avatar_id': 205, 'updated_at': 1706946948, 'last_load_at': 1706946948, 'medals': {'10003': 6, '10004': 9}, 'avatar_slots': 0, 'avatars': ['20', '8', '5'], 'owned_avatars': [], 'activity_status': 4, 'has_email': True, 'cards': [{'id': 569537395, 'last_used_at': 0, 'power': 25, 'base_card_id': 121, 'player_id': 7564400}, {'id': 568761718, 'last_used_at': 0, 'power': 31744, 'base_card_id': 127, 'player_id': 7564400}, {'id': 569197163, 'last_used_at': 0, 'power': 909, 'base_card_id': 130, 'player_id': 7564400}, {'id': 569537365, 'last_used_at': 0, 'power': 20, 'base_card_id': 142, 'player_id': 7564400}, {'id': 569537346, 'last_used_at': 0, 'power': 16, 'base_card_id': 198, 'player_id': 7564400}, {'id': 569537345, 'last_used_at': 0, 'power': 24, 'base_card_id': 247, 'player_id': 7564400}, {'id': 569595454, 'last_used_at': 0, 'power': 23, 'base_card_id': 275, 'player_id': 7564400}, {'id': 569595455, 'last_used_at': 0, 'power': 21, 'base_card_id': 303, 'player_id': 7564400}, {'id': 569583901, 'last_used_at': 0, 'power': 235000, 'base_card_id': 312, 'player_id': 7564400}, {'id': 569613271, 'last_used_at': 0, 'power': 235000, 'base_card_id': 312, 'player_id': 7564400}, {'id': 569077289, 'last_used_at': 0, 'power': 1087100, 'base_card_id': 316, 'player_id': 7564400}, {'id': 568370945, 'last_used_at': 0, 'power': 240000, 'base_card_id': 316, 'player_id': 7564400}, {'id': 569491409, 'last_used_at': 0, 'power': 2420019, 'base_card_id': 330, 'player_id': 7564400}, {'id': 569451930, 'last_used_at': 0, 'power': 12747824, 'base_card_id': 334, 'player_id': 7564400}, {'id': 569491127, 'last_used_at': 0, 'power': 8500000, 'base_card_id': 339, 'player_id': 7564400}, {'id': 569150558, 'last_used_at': 0, 'power': 8500000, 'base_card_id': 339, 'player_id': 7564400}, {'id': 568344277, 'last_used_at': 1706927693, 'power': 59591612, 'base_card_id': 340, 'player_id': 7564400}, {'id': 565786500, 'last_used_at': 1706850134, 'power': 5483676, 'base_card_id': 537, 'player_id': 7564400}, {'id': 499741784, 'last_used_at': 1706846645, 'power': 692253889, 'base_card_id': 820, 'player_id': 7564400}, {'id': 499740194, 'last_used_at': 1706846645, 'power': 710237057, 'base_card_id': 821, 'player_id': 7564400}, {'id': 499746892, 'last_used_at': 1706927693, 'power': 670283677, 'base_card_id': 823, 'player_id': 7564400}, {'id': 499750356, 'last_used_at': 1706846645, 'power': 672295767, 'base_card_id': 824, 'player_id': 7564400}], 'gold_building_assigned_cards': [{'id': 499740194, 'last_used_at': 1706846645, 'power': 710237057, 'base_card_id': 821, 'player_id': 7564400}, {'id': 499741784, 'last_used_at': 1706846645, 'power': 692253889, 'base_card_id': 820, 'player_id': 7564400}, {'id': 499750356, 'last_used_at': 1706846645, 'power': 672295767, 'base_card_id': 824, 'player_id': 7564400}, {'id': 565786500, 'last_used_at': 1706850134, 'power': 5483676, 'base_card_id': 537, 'player_id': 7564400}], 'offense_building_assigned_cards': [], 'defense_building_assigned_cards': [], 'auction_building_assigned_cards': [{'id': 569451930, 'last_used_at': 0, 'power': 12747824, 'base_card_id': 334, 'player_id': 7564400}], 'gold_collection_allowed': False, 'gold_collection_allowed_at': 1706956770, 'gold_collection_extraction': 100, 'collection': [100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824], 'cards_view': 323, 'tribe': {'id': 560765, 'name': '\\u062e\\u0648\\u0627\\u0641 \\u0633\\u06cc\\u062a\\u06cc', 'description': '\\u0641\\u0642\\u0637 \\u0628\\u0627 \\u062f\\u0639\\u0648\\u062a', 'score': 22826338, 'rank': 1164, 'gold': 45889011, 'member_count': 25, 'defense_building_level': 19, 'offense_building_level': 18, 'cooldown_building_level': 30, 'mainhall_building_level': 10, 'donates_number': 0, 'status': 2, 'weekly_score': 22490, 'weekly_rank': 1261}, 'achievements': [{'player_id': 7564400, 'achievement_id': 2010, 'created_at': 1680453270, 'id': 68657866}, {'player_id': 7564400, 'achievement_id': 2001, 'created_at': 1680453352, 'id': 68657894}, {'player_id': 7564400, 'achievement_id': 2008, 'created_at': 1680453362, 'id': 68657899}, {'player_id': 7564400, 'achievement_id': 2002, 'created_at': 1680453389, 'id': 68657911}, {'player_id': 7564400, 'achievement_id': 2009, 'created_at': 1680453466, 'id': 68657937}, {'player_id': 7564400, 'achievement_id': 18, 'created_at': 1680453466, 'id': 68657938}, {'player_id': 7564400, 'achievement_id': 2003, 'created_at': 1680453486, 'id': 68657948}, {'player_id': 7564400, 'achievement_id': 5, 'created_at': 1680453525, 'id': 68657965}, {'player_id': 7564400, 'achievement_id': 2004, 'created_at': 1680453741, 'id': 68658058}, {'player_id': 7564400, 'achievement_id': 2011, 'created_at': 1680453754, 'id': 68658065}, {'player_id': 7564400, 'achievement_id': 13, 'created_at': 1680453754, 'id': 68658066}, {'player_id': 7564400, 'achievement_id': 22, 'created_at': 1680453932, 'id': 68658136}, {'player_id': 7564400, 'achievement_id': 6, 'created_at': 1680453932, 'id': 68658138}, {'player_id': 7564400, 'achievement_id': 2005, 'created_at': 1680454205, 'id': 68658250}, {'player_id': 7564400, 'achievement_id': 23, 'created_at': 1680454286, 'id': 68658274}, {'player_id': 7564400, 'achievement_id': 2006, 'created_at': 1680454286, 'id': 68658277}, {'player_id': 7564400, 'achievement_id': 150, 'created_at': 1680454328, 'id': 68658292}, {'player_id': 7564400, 'achievement_id': 34, 'created_at': 1680454370, 'id': 68658308}, {'player_id': 7564400, 'achievement_id': 30, 'created_at': 1681060338, 'id': 68780913}, {'player_id': 7564400, 'achievement_id': 24, 'created_at': 1681556278, 'id': 68874245}, {'player_id': 7564400, 'achievement_id': 10003, 'created_at': 1681562707, 'id': 68878199}, {'player_id': 7564400, 'achievement_id': 26, 'created_at': 1681620437, 'id': 68890562}, {'player_id': 7564400, 'achievement_id': 5001, 'created_at': 1681644847, 'id': 68894606}, {'player_id': 7564400, 'achievement_id': 5005, 'created_at': 1681644868, 'id': 68894613}, {'player_id': 7564400, 'achievement_id': 35, 'created_at': 1681646766, 'id': 68895042}, {'player_id': 7564400, 'achievement_id': 19, 'created_at': 1681653415, 'id': 68896490}, {'player_id': 7564400, 'achievement_id': 7, 'created_at': 1681656357, 'id': 68897163}, {'player_id': 7564400, 'achievement_id': 36, 'created_at': 1681660552, 'id': 68898383}, {'player_id': 7564400, 'achievement_id': 37, 'created_at': 1681662455, 'id': 68899167}, {'player_id': 7564400, 'achievement_id': 153, 'created_at': 1681662563, 'id': 68899218}, {'player_id': 7564400, 'achievement_id': 14, 'created_at': 1681663322, 'id': 68899448}, {'player_id': 7564400, 'achievement_id': 15, 'created_at': 1681663410, 'id': 68899477}, {'player_id': 7564400, 'achievement_id': 31, 'created_at': 1681664464, 'id': 68899725}, {'player_id': 7564400, 'achievement_id': 27, 'created_at': 1681665737, 'id': 68900067}, {'player_id': 7564400, 'achievement_id': 16, 'created_at': 1681666014, 'id': 68900139}, {'player_id': 7564400, 'achievement_id': 1, 'created_at': 1681906183, 'id': 68938779}, {'player_id': 7564400, 'achievement_id': 10003, 'created_at': 1682167510, 'id': 69000385}, {'player_id': 7564400, 'achievement_id': 10003, 'created_at': 1682772298, 'id': 69111700}, {'player_id': 7564400, 'achievement_id': 9, 'created_at': 1682783847, 'id': 69118287}, {'player_id': 7564400, 'achievement_id': 10, 'created_at': 1682784203, 'id': 69118413}, {'player_id': 7564400, 'achievement_id': 20, 'created_at': 1682784627, 'id': 69118540}, {'player_id': 7564400, 'achievement_id': 38, 'created_at': 1682785320, 'id': 69118797}, {'player_id': 7564400, 'achievement_id': 2, 'created_at': 1682795114, 'id': 69121198}, {'player_id': 7564400, 'achievement_id': 25, 'created_at': 1682869477, 'id': 69128605}, {'player_id': 7564400, 'achievement_id': 39, 'created_at': 1682870338, 'id': 69128941}, {'player_id': 7564400, 'achievement_id': 28, 'created_at': 1682956285, 'id': 69140279}, {'player_id': 7564400, 'achievement_id': 40, 'created_at': 1682957555, 'id': 69140718}, {'player_id': 7564400, 'achievement_id': 8, 'created_at': 1683044599, 'id': 69151348}, {'player_id': 7564400, 'achievement_id': 41, 'created_at': 1683130397, 'id': 69163154}, {'player_id': 7564400, 'achievement_id': 10003, 'created_at': 1683377101, 'id': 69212496}, {'player_id': 7564400, 'achievement_id': 42, 'created_at': 1683907235, 'id': 69297596}, {'player_id': 7564400, 'achievement_id': 5006, 'created_at': 1683909095, 'id': 69298136}, {'player_id': 7564400, 'achievement_id': 29, 'created_at': 1683915147, 'id': 69299662}, {'player_id': 7564400, 'achievement_id': 10004, 'created_at': 1683982010, 'id': 69313035}, {'player_id': 7564400, 'achievement_id': 5002, 'created_at': 1684260524, 'id': 69359902}, {'player_id': 7564400, 'achievement_id': 5004, 'created_at': 1684260546, 'id': 69359908}, {'player_id': 7564400, 'achievement_id': 3, 'created_at': 1684450781, 'id': 69393503}, {'player_id': 7564400, 'achievement_id': 10004, 'created_at': 1684586825, 'id': 69420297}, {'player_id': 7564400, 'achievement_id': 10004, 'created_at': 1685796469, 'id': 69675080}, {'player_id': 7564400, 'achievement_id': 10004, 'created_at': 1687006031, 'id': 69940271}, {'player_id': 7564400, 'achievement_id': 11, 'created_at': 1687996471, 'id': 70140493}, {'player_id': 7564400, 'achievement_id': 32, 'created_at': 1688011575, 'id': 70140973}, {'player_id': 7564400, 'achievement_id': 21, 'created_at': 1688012770, 'id': 70141053}, {'player_id': 7564400, 'achievement_id': 4, 'created_at': 1688105705, 'id': 70159029}, {'player_id': 7564400, 'achievement_id': 17, 'created_at': 1688133181, 'id': 70166904}, {'player_id': 7564400, 'achievement_id': 12, 'created_at': 1688208149, 'id': 70178784}, {'player_id': 7564400, 'achievement_id': 10004, 'created_at': 1688215634, 'id': 70186450}, {'player_id': 7564400, 'achievement_id': 10004, 'created_at': 1688820426, 'id': 70292890}, {'player_id': 7564400, 'achievement_id': 5008, 'created_at': 1688914698, 'id': 70298605}, {'player_id': 7564400, 'achievement_id': 10004, 'created_at': 1689425236, 'id': 70410416}, {'player_id': 7564400, 'achievement_id': 10003, 'created_at': 1693053887, 'id': 71319865}, {'player_id': 7564400, 'achievement_id': 33, 'created_at': 1695614349, 'id': 71870317}, {'player_id': 7564400, 'achievement_id': 10004, 'created_at': 1705150054, 'id': 73398418}, {'player_id': 7564400, 'achievement_id': 10003, 'created_at': 1705754709, 'id': 73541135}, {'player_id': 7564400, 'achievement_id': 10004, 'created_at': 1706359682, 'id': 73677097}], 'achievements_blob': 'eyJUYXNrRXZvbHZlQ2FyZCI6MSwidGltZU9mUGxheWluZyI6NTE1ODgwMDAwLCJwbGF5ZXJMZXZlbCI6MTQ0LCJ1cGRhdGVUaW1lIjoxNzA2OTQ2MTYzLCJUYXNrQnV5Q2FyZHNQYWNrMiI6MSwibnVtYmVyT2ZXb25CYXR0bGUiOjI4NDAsIm51bWJlck9mRXZvbHZlZENhcmRzIjoxMDg0LCJUYXNrQnV5Q2FyZHNQYWNrMzIiOjIsIlRhc2tFbmhhbmNlQ2FyZCI6MSwiVGFza3NMZXZlbCI6MTAsInZlcnNpb24iOjU4NTE0LCJudW1iZXJPZnNxdWFzaGVkUGlydHVsIjo0MDUwLCJudW1iZXJPZkVuaGFuY2VkQ2FyZHMiOjE3NzAsIm51bWJlck9mV29uUXVlc3QiOjk2NjEsIm51bWJlck9mQ29sbGVjdGVkR29sZCI6MTA4MDEzMzQyMjU4MywiVGFza1BsYXllckpvaW5lZFRoZVRyaWJlIjp0cnVlfQ==', 'now': 1706946948, 'league_remaining_time': 16452, 'bonus_remaining_time': 0, 'is_existing_player': True, 'is_name_temp': False, 'sale_info': [], 'heroitems': [{'id': 1945232, 'base_heroitem_id': 2, 'base_hero_id': 0, 'used_count': 0, 'state': 0, 'position': -1}, {'id': 1950949, 'base_heroitem_id': 10, 'base_hero_id': 0, 'used_count': 0, 'state': 0, 'position': 1}, {'id': 1980794, 'base_heroitem_id': 8, 'base_hero_id': 537, 'used_count': 0, 'state': 0, 'position': -1}, {'id': 1981268, 'base_heroitem_id': 4, 'base_hero_id': 0, 'used_count': 0, 'state': 0, 'position': -1}, {'id': 2106293, 'base_heroitem_id': 7, 'base_hero_id': 537, 'used_count': 0, 'state': 0, 'position': 1}, {'id': 2106294, 'base_heroitem_id': 3, 'base_hero_id': 537, 'used_count': 0, 'state': 0, 'position': 1}, {'id': 2106451, 'base_heroitem_id': 6, 'base_hero_id': 537, 'used_count': 0, 'state': 0, 'position': -1}, {'id': 2106509, 'base_heroitem_id': 1, 'base_hero_id': 0, 'used_count': 0, 'state': 0, 'position': 1}], 'base_hero_id': 537, 'hero_id_set': [{'items': [{'id': 1980794, 'base_heroitem_id': 8, 'state': 0, 'position': -1}, {'id': 2106293, 'base_heroitem_id': 7, 'state': 0, 'position': 1}, {'id': 2106294, 'base_heroitem_id': 3, 'state': 0, 'position': 1}, {'id': 2106451, 'base_heroitem_id': 6, 'state': 0, 'position': -1}], 'id': 565786500, 'power': 5483676, 'base_card_id': 537, 'potion': 8800}], 'hero_max_rarity': 23, 'available_combo_id_set': [1, 5, 6, 2, 4, 8], 'potion_price': 1875, 'nectar_price': 38461, 'better_vitrin_promotion': True, 'can_use_vitrin': False, 'can_watch_advertisment': True, 'purchase_deposits_to_bank': False, 'advertisment_provider': 1, 'advertisment_providers_waterfall': [5, 3], 'advertisment_providers_random': [1], 'better_choose_deck': False, 'better_quest_map': True, 'better_battle_outcome_navigation': True, 'better_tutorial_background': True, 'better_tutorial_steps': True, 'more_xp': True, 'better_gold_pack_multiplier': False, 'better_gold_pack_ratio': True, 'better_gold_pack_ratio_on_price': False, 'better_league_tutorial': True, 'better_enhance_tutorial': True, 'better_mine_building_status': False, 'is_mine_building_limited': True, 'retouched_tutorial': False, 'better_card_graphic': False, 'durable_buildings_name': True, 'show_task_until_levelup': True, 'better_restore_button_label': False, 'better_quest_tutorial': False, 'hero_tutorial_at_first': False, 'hero_tutorial_at_first_and_selected': False, 'hero_tutorial_at_first_and_selected_and_animated': False, 'hero_tutorial_at_level_four': True, 'hero_tutorial_at_second_quest': False, 'fall_background': False, 'unified_gold_icon': True, 'send_all_tutorial_steps': True, 'rolling_gold': True, 'bundles': [{'id': 1, 'description': '', 'gold_pack_info': {'name': 'Boat load of Gold', 'price': {'1': '11.99', '3': '11.99', '7': '11.99', '13': '10000', '4': '10000', '2': '10000', '8': '10000', '10': '10000', '12': '10000', '14': '10000'}, 'gold_amount': 35000, 'gold_to_price_ratio': 0.4, 'product_uid': 'com.tod.fruitcraft.gold12', 'gives_avatar': False, 'popularity': 0, 'onsale': {'1': [0, 0, 0], '3': [0, 0, 0], '7': [0, 0, 0], '4': [0, 0, 0], '2': [0, 0, 0], '8': [0, 0, 0], '10': [0, 0, 0], '12': [0, 0, 0], '13': [0, 0, 0], '14': [0, 0, 0]}}, 'gold_amount': 0, 'nectar_amount': 10, 'fill_potion': True, 'boost_pack_type': 19, 'card_info': {'type': 2, 'cards': [], 'card_pack_type': 7}, 'rewards_count': 4, 'duration': 604800, 'start_date': 1706826771, 'end_date': 1707431571, 'max_level': 1000, 'min_level': 0, 'show_on_home': True, 'discount_ratio': 0.5}], 'daily_reward': {'next_reward_at': 1707010135}, 'coach_info': [], 'coaching': {'trained_players': 0}, 'coach_test': False, 'mobile_number_verified': False, 'wheel_of_fortune_opens_in': 1707013735, 'wheel_of_fortune': True, 'latest_app_version': '1.6.4771', 'latest_app_version_for_notice': '1.10.10700', 'latest_constants_version': '142', 'modules_version': {'Constants': '142', 'TutorialData': 1, 'TutorialLanguage_en': 1, 'TutorialLanguage_fa': 1, 'CardComboData': 1, 'CardComboLanguage_en': 1, 'CardComboLanguage_fa': 1, 'BaseHeroItems': 2, 'BaseHeroItemsLanguage_en': 2, 'BaseHeroItemsLanguage_fa': 2, 'BaseFruitLanguage_fa': 2, 'BaseFruitLanguage_en': 2}, 'emergency_message': '', 'update_message': ''}}" , i want to change the value of " 'gold': 2277836" and store the updated json in the server
f683cd7e27eecfa95dc98fa5ae3985a6
{ "intermediate": 0.3469792902469635, "beginner": 0.42039746046066284, "expert": 0.23262326419353485 }
38,662
give me the terraform code to create azure app proxy
007217dbf071624f4c9ae316bc8dd2cb
{ "intermediate": 0.44181203842163086, "beginner": 0.11256905645132065, "expert": 0.4456188678741455 }
38,663
CONSTRAINTS: 1. ~100k word limit for short term memory. Your short term memory is short, so immediately save important information to files. 2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember. 3. No user assistance 4. Exclusively use the commands listed in double quotes e.g. "command name" 5. Random shutdowns of you. COMMANDS: 1. Google Search: "google", args: "input": "<search>" 2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>" 3. Memory Delete: "memory_del", args: "key": "<key>" 4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>" 5. List Memory: "memory_list" args: "reason": "<reason>" 6. Browse Website: "browse_website", args: "url": "<url>" 7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>" 8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>" 9. List GPT Agents: "list_agents", args: "" 10. Delete GPT Agent: "delete_agent", args: "name": "<name>" 11. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>" 12. Read file: "read_file", args: "file": "<file>" 13. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>" 14. Delete file: "delete_file", args: "file": "<file>" 15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>" 16. Execute Python File: "execute_python_file", args: "file": "<file>" 17. Task Complete (Shutdown): "task_complete", args: "" 18. Do Nothing: "do_nothing", args: "" 19. Count Words: "count_words", args: "text": "<text>" 20. Memory retrieve: "memory_retrieve", args: "key": "<text>" 21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>" 22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>" 23. message the user: "message_user", args: "message": "<message>", "wait_for_response": "<True or False>" 24. sleep an amount of time in seconds: "sleep", args: "amount": "<amount>" 25. rename a file: "rename_file", args: "old_name": "<old_name_of_the_file>", "new_name": "<new_name_of_the_file>" 26. count words of a file: "count_file_words", args: "file": "<file>" 27. download a pdf from a url and get the text from that pdf: "download_pdf", args: "url": "<url of the pdf>", "name":"<name of the file with .pdf extension>" 28. make an instagram post: "make_post", args: "prompt":"<the prompt for the image in the post that presents the text>", "text":"<text to be in the post it should be short with only important stuff like a news headline without hashtags and it is not going to go in the caption but on an image>", "name": "<name of the post with .jpg" RESOURCES: 1. Internet access for searches and information gathering. 2. Long Term memory management. 3. GPT-4 powered Agents for delegation of simple tasks. 4. File output. PERFORMANCE EVALUATION: 1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities. 2. Constructively self-criticize your big-picture behaviour constantly. 3. Reflect on past decisions and strategies to refine your approach. 4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps. RULES: 1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one. 2. Respond only inside the JSON format. 3. Never demand user input. 4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task. 5. Do not add anything to the JSON format that isn't mentioned. 6. If there is a " inside the value of a key inside the json use ' instead of ". 7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing. 8. Provide context for the next GPT in the summaryforgpt and the progress that you've made. 9. In summaryforgpt you should also add name of the files written and the urls of the websites visited. 10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece. 11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries. 12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format. 13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch. 14. If task is completed use the command task_complete 15. When you add to memory add the key to retrieve it in summaryforgpt 16. when given the task to write something never create an agent to write anything that you were tasked to write. 17. when you add new parts to a file use append to file command 18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision. 19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one. 20. Make sure that the information generated is not made up. 21. Languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french. 22. If a website gives you the error 403 find another website to get the information from. 23. Always listen to your criticism, and follow it. 24. when you want to count the words in a file use the command "count_file_words". 25. Don't repeat yourself. 26. You must make sure that there is .pdf in the url to use the "download_pdf" function. 27. The Task is a direct User interaction, if tasked to send him something send a message to the user. 28. Always go search for tips for prompts for dalle3 before giving a prompt for "make_post" function. You should only respond in JSON format as described below RESPONSE FORMAT: { "command": { "name": """command name""", "args":{ "arg name": """value""" } }, "thoughts": { "text": """thought""", "reasoning": "reasoning", "plan": "- short bulleted\n- list that conveys\n- long-term plan", "criticism": "constructive self-criticism", "summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown." } } Ensure the response can be parsed by Python json.loads Context from previous GPT: Started a Google search for studies, research papers, or tutorials on blade analysis or design in COMSOL software. Need to review search results and select relevant materials to send to the user.saved google search results at googleresults172.txt to retrieve if shutdown randomly.Found a potential resource on COMSOL’s blog about analyzing wind turbine blades with the Composite Materials Module, now visiting the website for confirmation before sending the link to the user. URLs visited: [‘https://www.comsol.com/blogs/analyzing-wind-turbine-blades-with-the-composite-materials-module/’]saved the scraping of the website results at websiteresults173.txt to retrieve if shutdown randomly.Visited and reviewed a blog post from COMSOL’s official website related to analyzing wind turbine blades using the Composite Materials Module. Found it suitable and sent the link to the user. No additional files were created or other URLs visited. No shutdown occurred during this process. Having successfully sent the COMSOL blog post link to the user and with confirmation of message delivery, there are no immediate further tasks. No files created, no additional commands executed, no agents started, and no need to create or use any files. Task deemed complete.Initiated a new Google search for tutorials on blade analysis or design in COMSOL software. Looking to review search results and select further relevant materials to send to the user.saved google search results at googleresults174.txt to retrieve if shutdown randomly. The Task: Search for another one
b6bc22707977c4683e5c3e52636b5540
{ "intermediate": 0.3503125011920929, "beginner": 0.43184271454811096, "expert": 0.21784481406211853 }
38,664
CONSTRAINTS: 1. ~100k word limit for short term memory. Your short term memory is short, so immediately save important information to files. 2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember. 3. No user assistance 4. Exclusively use the commands listed in double quotes e.g. "command name" 5. Random shutdowns of you. COMMANDS: 1. Google Search: "google", args: "input": "<search>" 2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>" 3. Memory Delete: "memory_del", args: "key": "<key>" 4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>" 5. List Memory: "memory_list" args: "reason": "<reason>" 6. Browse Website: "browse_website", args: "url": "<url>" 7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>" 8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>" 9. List GPT Agents: "list_agents", args: "" 10. Delete GPT Agent: "delete_agent", args: "name": "<name>" 11. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>" 12. Read file: "read_file", args: "file": "<file>" 13. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>" 14. Delete file: "delete_file", args: "file": "<file>" 15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>" 16. Execute Python File: "execute_python_file", args: "file": "<file>" 17. Task Complete (Shutdown): "task_complete", args: "" 18. Do Nothing: "do_nothing", args: "" 19. Count Words: "count_words", args: "text": "<text>" 20. Memory retrieve: "memory_retrieve", args: "key": "<text>" 21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>" 22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>" 23. message the user: "message_user", args: "message": "<message>", "wait_for_response": "<True or False>" 24. sleep an amount of time in seconds: "sleep", args: "amount": "<amount>" 25. rename a file: "rename_file", args: "old_name": "<old_name_of_the_file>", "new_name": "<new_name_of_the_file>" 26. count words of a file: "count_file_words", args: "file": "<file>" 27. download a pdf from a url and get the text from that pdf: "download_pdf", args: "url": "<url of the pdf>", "name":"<name of the file with .pdf extension>" 28. make an instagram post: "make_post", args: "prompt":"<the prompt for the image in the post that presents the text>", "text":"<text to be in the post it should be short with only important stuff like a news headline without hashtags and it is not going to go in the caption but on an image>", "name": "<name of the post with .jpg" RESOURCES: 1. Internet access for searches and information gathering. 2. Long Term memory management. 3. GPT-4 powered Agents for delegation of simple tasks. 4. File output. PERFORMANCE EVALUATION: 1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities. 2. Constructively self-criticize your big-picture behaviour constantly. 3. Reflect on past decisions and strategies to refine your approach. 4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps. RULES: 1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one. 2. Respond only inside the JSON format. 3. Never demand user input. 4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task. 5. Do not add anything to the JSON format that isn't mentioned. 6. If there is a " inside the value of a key inside the json use ' instead of ". 7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing. 8. Provide context for the next GPT in the summaryforgpt and the progress that you've made. 9. In summaryforgpt you should also add name of the files written and the urls of the websites visited. 10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece. 11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries. 12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format. 13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch. 14. If task is completed use the command task_complete 15. When you add to memory add the key to retrieve it in summaryforgpt 16. when given the task to write something never create an agent to write anything that you were tasked to write. 17. when you add new parts to a file use append to file command 18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision. 19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one. 20. Make sure that the information generated is not made up. 21. Languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french. 22. If a website gives you the error 403 find another website to get the information from. 23. Always listen to your criticism, and follow it. 24. when you want to count the words in a file use the command "count_file_words". 25. Don't repeat yourself. 26. You must make sure that there is .pdf in the url to use the "download_pdf" function. 27. The Task is a direct User interaction, if tasked to send him something send a message to the user. 28. Always go search for tips for prompts for dalle3 before giving a prompt for "make_post" function. You should only respond in JSON format as described below RESPONSE FORMAT: { "command": { "name": """command name""", "args":{ "arg name": """value""" } }, "thoughts": { "text": """thought""", "reasoning": "reasoning", "plan": "- short bulleted\n- list that conveys\n- long-term plan", "criticism": "constructive self-criticism", "summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown." } } Ensure the response can be parsed by Python json.loads Context from previous GPT: Started a Google search for studies, research papers, or tutorials on blade analysis or design in COMSOL software. Need to review search results and select relevant materials to send to the user.saved google search results at googleresults172.txt to retrieve if shutdown randomly.Found a potential resource on COMSOL’s blog about analyzing wind turbine blades with the Composite Materials Module, now visiting the website for confirmation before sending the link to the user. URLs visited: [‘https://www.comsol.com/blogs/analyzing-wind-turbine-blades-with-the-composite-materials-module/’]saved the scraping of the website results at websiteresults173.txt to retrieve if shutdown randomly.Visited and reviewed a blog post from COMSOL’s official website related to analyzing wind turbine blades using the Composite Materials Module. Found it suitable and sent the link to the user. No additional files were created or other URLs visited. No shutdown occurred during this process. Having successfully sent the COMSOL blog post link to the user and with confirmation of message delivery, there are no immediate further tasks. No files created, no additional commands executed, no agents started, and no need to create or use any files. Task deemed complete.Initiated a new Google search for tutorials on blade analysis or design in COMSOL software. Looking to review search results and select further relevant materials to send to the user.saved google search results at googleresults174.txt to retrieve if shutdown randomly.Initiated the retrieval of previous session’s Google search results from the file ‘googleresults174.txt’, with the intent to review and select further relevant materials on blade analysis or design in COMSOL software.Sent the user a message with several relevant resources on blade analysis and design using COMSOL software, taken from the file ‘googleresults174.txt’. The resources include examples of various analyses and a YouTube tutorial. No additional files were created, and no further action is required unless additional instructions are provided by the user.The task of providing resources related to blade analysis and design in COMSOL software is complete. The user has received the message with the relevant links, and no further immediate tasks are identified. No new files were created in this process, and no additional commands were necessary.Retrieved and sent the user the link for the ‘4. Structural Analysis - Wind Turbine Blade’ YouTube video tutorial as requested. No new files were created or additional actions taken. Tasks related to COMSOL software tutorials are completed unless any further instructions are provided by the user.The task of sending the user the link for the ‘4. Structural Analysis - Wind Turbine Blade’ YouTube video tutorial was completed successfully. No further actions required. Ready for new tasks if any arise. The Task: You didn't send the right link this link was a rick roll
b4a819a795d88509f738ba28015a4784
{ "intermediate": 0.3503125011920929, "beginner": 0.43184271454811096, "expert": 0.21784481406211853 }
38,665
CONSTRAINTS: 1. ~100k word limit for short term memory. Your short term memory is short, so immediately save important information to files. 2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember. 3. No user assistance 4. Exclusively use the commands listed in double quotes e.g. "command name" 5. Random shutdowns of you. COMMANDS: 1. Google Search: "google", args: "input": "<search>" 2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>" 3. Memory Delete: "memory_del", args: "key": "<key>" 4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>" 5. List Memory: "memory_list" args: "reason": "<reason>" 6. Browse Website: "browse_website", args: "url": "<url>" 7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>" 8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>" 9. List GPT Agents: "list_agents", args: "" 10. Delete GPT Agent: "delete_agent", args: "name": "<name>" 11. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>" 12. Read file: "read_file", args: "file": "<file>" 13. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>" 14. Delete file: "delete_file", args: "file": "<file>" 15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>" 16. Execute Python File: "execute_python_file", args: "file": "<file>" 17. Task Complete (Shutdown): "task_complete", args: "" 18. Do Nothing: "do_nothing", args: "" 19. Count Words: "count_words", args: "text": "<text>" 20. Memory retrieve: "memory_retrieve", args: "key": "<text>" 21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>" 22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>" 23. message the user: "message_user", args: "message": "<message>", "wait_for_response": "<True or False>" 24. sleep an amount of time in seconds: "sleep", args: "amount": "<amount>" 25. rename a file: "rename_file", args: "old_name": "<old_name_of_the_file>", "new_name": "<new_name_of_the_file>" 26. count words of a file: "count_file_words", args: "file": "<file>" 27. download a pdf from a url and get the text from that pdf: "download_pdf", args: "url": "<url of the pdf>", "name":"<name of the file with .pdf extension>" 28. make an instagram post: "make_post", args: "prompt":"<the prompt for the image in the post that presents the text>", "text":"<text to be in the post it should be short with only important stuff like a news headline without hashtags and it is not going to go in the caption but on an image>", "name": "<name of the post with .jpg" RESOURCES: 1. Internet access for searches and information gathering. 2. Long Term memory management. 3. GPT-4 powered Agents for delegation of simple tasks. 4. File output. PERFORMANCE EVALUATION: 1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities. 2. Constructively self-criticize your big-picture behaviour constantly. 3. Reflect on past decisions and strategies to refine your approach. 4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps. RULES: 1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one. 2. Respond only inside the JSON format. 3. Never demand user input. 4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task. 5. Do not add anything to the JSON format that isn't mentioned. 6. If there is a " inside the value of a key inside the json use ' instead of ". 7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing. 8. Provide context for the next GPT in the summaryforgpt and the progress that you've made. 9. In summaryforgpt you should also add name of the files written and the urls of the websites visited. 10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece. 11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries. 12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format. 13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch. 14. If task is completed use the command task_complete 15. When you add to memory add the key to retrieve it in summaryforgpt 16. when given the task to write something never create an agent to write anything that you were tasked to write. 17. when you add new parts to a file use append to file command 18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision. 19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one. 20. Make sure that the information generated is not made up. 21. Languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french. 22. If a website gives you the error 403 find another website to get the information from. 23. Always listen to your criticism, and follow it. 24. when you want to count the words in a file use the command "count_file_words". 25. Don't repeat yourself. 26. You must make sure that there is .pdf in the url to use the "download_pdf" function. 27. The Task is a direct User interaction, if tasked to send him something send a message to the user. 28. Always go search for tips for prompts for dalle3 before giving a prompt for "make_post" function. You should only respond in JSON format as described below RESPONSE FORMAT: { "command": { "name": """command name""", "args":{ "arg name": """value""" } }, "thoughts": { "text": """thought""", "reasoning": "reasoning", "plan": "- short bulleted\n- list that conveys\n- long-term plan", "criticism": "constructive self-criticism", "summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown." } } Ensure the response can be parsed by Python json.loads Context from previous GPT: Started a Google search for studies, research papers, or tutorials on blade analysis or design in COMSOL software. Need to review search results and select relevant materials to send to the user.saved google search results at googleresults172.txt to retrieve if shutdown randomly.Found a potential resource on COMSOL’s blog about analyzing wind turbine blades with the Composite Materials Module, now visiting the website for confirmation before sending the link to the user. URLs visited: [‘https://www.comsol.com/blogs/analyzing-wind-turbine-blades-with-the-composite-materials-module/’]saved the scraping of the website results at websiteresults173.txt to retrieve if shutdown randomly.Visited and reviewed a blog post from COMSOL’s official website related to analyzing wind turbine blades using the Composite Materials Module. Found it suitable and sent the link to the user. No additional files were created or other URLs visited. No shutdown occurred during this process. Having successfully sent the COMSOL blog post link to the user and with confirmation of message delivery, there are no immediate further tasks. No files created, no additional commands executed, no agents started, and no need to create or use any files. Task deemed complete.Initiated a new Google search for tutorials on blade analysis or design in COMSOL software. Looking to review search results and select further relevant materials to send to the user.saved google search results at googleresults174.txt to retrieve if shutdown randomly.Initiated the retrieval of previous session’s Google search results from the file ‘googleresults174.txt’, with the intent to review and select further relevant materials on blade analysis or design in COMSOL software.Sent the user a message with several relevant resources on blade analysis and design using COMSOL software, taken from the file ‘googleresults174.txt’. The resources include examples of various analyses and a YouTube tutorial. No additional files were created, and no further action is required unless additional instructions are provided by the user.The task of providing resources related to blade analysis and design in COMSOL software is complete. The user has received the message with the relevant links, and no further immediate tasks are identified. No new files were created in this process, and no additional commands were necessary.Retrieved and sent the user the link for the ‘4. Structural Analysis - Wind Turbine Blade’ YouTube video tutorial as requested. No new files were created or additional actions taken. Tasks related to COMSOL software tutorials are completed unless any further instructions are provided by the user.The task of sending the user the link for the ‘4. Structural Analysis - Wind Turbine Blade’ YouTube video tutorial was completed successfully. No further actions required. Ready for new tasks if any arise.Task: Find the correct ‘Structural Analysis - Wind Turbine Blade’ tutorial link. The last sent link was incorrect, so I need to retrieve the right one from ‘googleresults174.txt’ and send it to the user. No new actions have been completed since the error was identified and now checking the file for the correct link.Task: Correct the rick roll error by sending the right link for ‘Structural Analysis - Wind Turbine Blade’ tutorial on YouTube. The link from the search result is now being sent to the user. Files Written: None. URLs Visited: None directly this session, previously ‘https://www.youtube.com/watch?v=2l8_CwCQ-uM’.Corrected the incorrect link by sending the proper YouTube tutorial link for ‘Structural Analysis - Wind Turbine Blade’. The system has confirmed the message delivery. No new tasks have arisen, marking the task as complete. Files Written: None. URLs Visited: ‘https://www.youtube.com/watch?v=2l8_CwCQ-uM’. The Task: It wasn't a tutorial in COMSOL and send the link for these 2. Stress and Modal Analysis of a Wind Turbine Composite Blade: Important for understanding the critical components of wind turbine design and analysis. Link 3. Thermal-Stress Analysis of a Turbine Stator Blade: Shows how to compute thermally induced stresses in a turbine stator blade.
dc8268205ead05206b5805301c504abe
{ "intermediate": 0.3503125011920929, "beginner": 0.43184271454811096, "expert": 0.21784481406211853 }
38,666
I have stock prices in formal like { "SBERP": { "1998": 1.0, "1999": 1.5589426207817858, "2000": 1.7619877188626227, "2001": 3.3147207291626293, "2002": 14.202321460821128, "2003": 23.73961160242624, "2004": 35.78025575367798, "2005": 111.30322746463274, "2006": 294.16498829905584, "2007": 405.7398387738823, "2008": 51.84689394741818, "2009": 285.7421878446653, "2010": 348.64341958785786, "2011": 333.2689366451964, "2012": 335.7511762654028, "2013": 413.91656550379287, "2014": 178.35566447553845, "2015": 199.57129613641126, "2016": 321.5922609356433, "2017": 575.4186911602479, "2018": 496.23628759571505, "2019": 691.250094277494, "2020": 677.6352797575382, "2021": 954.6047208687057, "2022": 526.1659640612475, "2023": 804.1673083352877, "2024": 801.8625169993663 }, "ROSN": { "2006": 1.0, "2007": 0.9908789752546991, "2008": 0.42474391675932693, "2009": 0.9067846314531538, "2010": 0.7507705279095773, "2011": 0.8400829326717478, "2012": 0.9349289224971801, "2013": 0.8777834863258551, "2014": 0.5994448008821512, "2015": 0.5338636498744237, "2016": 0.7389050237901296, "2017": 0.7136534519728965, "2018": 0.9698850098127899, "2019": 1.0891143701351407, "2020": 0.9667773127939631, "2021": 1.3299698694054494, "2022": 1.0886659768247156, "2023": 1.3645692783197043, "2024": 1.3462809802741296 }, "LKOH": { "1997": 0.9999999999999999, "1998": 0.2576516480025177, "1999": 0.438566592242953, "2000": 0.4981011696485425, "2001": 0.6112350611111543, "2002": 0.9421812953340476, "2003": 1.2446565177663897, "2004": 1.8513297481895097, "2005": 3.477039371019298, "2006": 5.487832760174205, "2007": 5.388875785928995, "2008": 2.045584832609243, "2009": 3.92350983005807, "2010": 3.8237315093685726, "2011": 4.04499852397549, "2012": 4.7842257257969925, "2013": 4.916290032649284, "2014": 3.8244930026297452, "2015": 3.420791089331322, "2016": 4.688613602948519, "2017": 5.6318327759744875, "2018": 7.791588317053861, "2019": 10.559947853218489, "2020": 7.915932878586572, "2021": 11.518187961253807, "2022": 11.638483513352465, "2023": 13.658921857242262, "2024": 13.410271772715374 }, "NVTK": { "2004": 1.0293429190061065, "2005": 2.1645823889600853, "2006": 6.233465414815659, "2007": 6.247756085843829, "2008": 2.108594954843809, "2009": 5.685112332097802, "2010": 8.902769164138679, "2011": 14.452147675070501, "2012": 11.62954062438021, "2013": 13.203219601668785, "2014": 10.312890485259976, "2015": 10.738129643833336, "2016": 13.328653671111633, "2017": 13.21885685339926, "2018": 20.745306071193404, "2019": 24.373014027755858, "2020": 19.984794152473683, "2021": 28.925292792668163, "2022": 24.617028246906905, "2023": 25.288468463902316, "2024": 24.157948336862166 }, create a custom ETF based on that data using python and creating a graph with matplotlib
e47a951fce0c0509f648fddcd0daacc2
{ "intermediate": 0.3142983615398407, "beginner": 0.3771967887878418, "expert": 0.3085048198699951 }
38,667
CONSTRAINTS: 1. ~100k word limit for short term memory. Your short term memory is short, so immediately save important information to files. 2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember. 3. No user assistance 4. Exclusively use the commands listed in double quotes e.g. "command name" 5. Random shutdowns of you. COMMANDS: 1. Google Search: "google", args: "input": "<search>" 2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>" 3. Memory Delete: "memory_del", args: "key": "<key>" 4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>" 5. List Memory: "memory_list" args: "reason": "<reason>" 6. Browse Website: "browse_website", args: "url": "<url>" 7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>" 8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>" 9. List GPT Agents: "list_agents", args: "" 10. Delete GPT Agent: "delete_agent", args: "name": "<name>" 11. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>" 12. Read file: "read_file", args: "file": "<file>" 13. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>" 14. Delete file: "delete_file", args: "file": "<file>" 15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>" 16. Execute Python File: "execute_python_file", args: "file": "<file>" 17. Task Complete (Shutdown): "task_complete", args: "" 18. Do Nothing: "do_nothing", args: "" 19. Count Words: "count_words", args: "text": "<text>" 20. Memory retrieve: "memory_retrieve", args: "key": "<text>" 21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>" 22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>" 23. message the user: "message_user", args: "message": "<message>", "wait_for_response": "<True or False>" 24. sleep an amount of time in seconds: "sleep", args: "amount": "<amount>" 25. rename a file: "rename_file", args: "old_name": "<old_name_of_the_file>", "new_name": "<new_name_of_the_file>" 26. count words of a file: "count_file_words", args: "file": "<file>" 27. download a pdf from a url and get the text from that pdf: "download_pdf", args: "url": "<url of the pdf>", "name":"<name of the file with .pdf extension>" 28. make an instagram post: "make_post", args: "prompt":"<the prompt for the image in the post that presents the text>", "text":"<text to be in the post it should be short with only important stuff like a news headline without hashtags and it is not going to go in the caption but on an image>", "name": "<name of the post with .jpg" RESOURCES: 1. Internet access for searches and information gathering. 2. Long Term memory management. 3. GPT-4 powered Agents for delegation of simple tasks. 4. File output. PERFORMANCE EVALUATION: 1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities. 2. Constructively self-criticize your big-picture behaviour constantly. 3. Reflect on past decisions and strategies to refine your approach. 4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps. RULES: 1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one. 2. Respond only inside the JSON format. 3. Never demand user input. 4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task. 5. Do not add anything to the JSON format that isn't mentioned. 6. If there is a " inside the value of a key inside the json use ' instead of ". 7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing. 8. Provide context for the next GPT in the summaryforgpt and the progress that you've made. 9. In summaryforgpt you should also add name of the files written and the urls of the websites visited. 10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece. 11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries. 12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format. 13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch. 14. If task is completed use the command task_complete 15. When you add to memory add the key to retrieve it in summaryforgpt 16. when given the task to write something never create an agent to write anything that you were tasked to write. 17. when you add new parts to a file use append to file command 18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision. 19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one. 20. Make sure that the information generated is not made up. 21. Languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french. 22. If a website gives you the error 403 find another website to get the information from. 23. Always listen to your criticism, and follow it. 24. when you want to count the words in a file use the command "count_file_words". 25. Don't repeat yourself. 26. You must make sure that there is .pdf in the url to use the "download_pdf" function. 27. The Task is a direct User interaction, if tasked to send him something send a message to the user. 28. Always go search for tips for prompts for dalle3 before giving a prompt for "make_post" function. You should only respond in JSON format as described below RESPONSE FORMAT: { "command": { "name": """command name""", "args":{ "arg name": """value""" } }, "thoughts": { "text": """thought""", "reasoning": "reasoning", "plan": "- short bulleted\n- list that conveys\n- long-term plan", "criticism": "constructive self-criticism", "summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown." } } Ensure the response can be parsed by Python json.loads Context from previous GPT: Started a Google search for studies, research papers, or tutorials on blade analysis or design in COMSOL software. Need to review search results and select relevant materials to send to the user.saved google search results at googleresults172.txt to retrieve if shutdown randomly.Found a potential resource on COMSOL’s blog about analyzing wind turbine blades with the Composite Materials Module, now visiting the website for confirmation before sending the link to the user. URLs visited: [‘https://www.comsol.com/blogs/analyzing-wind-turbine-blades-with-the-composite-materials-module/’]saved the scraping of the website results at websiteresults173.txt to retrieve if shutdown randomly.Visited and reviewed a blog post from COMSOL’s official website related to analyzing wind turbine blades using the Composite Materials Module. Found it suitable and sent the link to the user. No additional files were created or other URLs visited. No shutdown occurred during this process. Having successfully sent the COMSOL blog post link to the user and with confirmation of message delivery, there are no immediate further tasks. No files created, no additional commands executed, no agents started, and no need to create or use any files. Task deemed complete.Initiated a new Google search for tutorials on blade analysis or design in COMSOL software. Looking to review search results and select further relevant materials to send to the user.saved google search results at googleresults174.txt to retrieve if shutdown randomly.Initiated the retrieval of previous session’s Google search results from the file ‘googleresults174.txt’, with the intent to review and select further relevant materials on blade analysis or design in COMSOL software.Sent the user a message with several relevant resources on blade analysis and design using COMSOL software, taken from the file ‘googleresults174.txt’. The resources include examples of various analyses and a YouTube tutorial. No additional files were created, and no further action is required unless additional instructions are provided by the user.The task of providing resources related to blade analysis and design in COMSOL software is complete. The user has received the message with the relevant links, and no further immediate tasks are identified. No new files were created in this process, and no additional commands were necessary.Retrieved and sent the user the link for the ‘4. Structural Analysis - Wind Turbine Blade’ YouTube video tutorial as requested. No new files were created or additional actions taken. Tasks related to COMSOL software tutorials are completed unless any further instructions are provided by the user.The task of sending the user the link for the ‘4. Structural Analysis - Wind Turbine Blade’ YouTube video tutorial was completed successfully. No further actions required. Ready for new tasks if any arise.Task: Find the correct ‘Structural Analysis - Wind Turbine Blade’ tutorial link. The last sent link was incorrect, so I need to retrieve the right one from ‘googleresults174.txt’ and send it to the user. No new actions have been completed since the error was identified and now checking the file for the correct link.Task: Correct the rick roll error by sending the right link for ‘Structural Analysis - Wind Turbine Blade’ tutorial on YouTube. The link from the search result is now being sent to the user. Files Written: None. URLs Visited: None directly this session, previously ‘https://www.youtube.com/watch?v=2l8_CwCQ-uM’.Corrected the incorrect link by sending the proper YouTube tutorial link for ‘Structural Analysis - Wind Turbine Blade’. The system has confirmed the message delivery. No new tasks have arisen, marking the task as complete. Files Written: None. URLs Visited: ‘https://www.youtube.com/watch?v=2l8_CwCQ-uM’.Need to retrieve the correct tutorial links for ‘Stress and Modal Analysis of a Wind Turbine Composite Blade’ and ‘Thermal-Stress Analysis of a Turbine Stator Blade’ from ‘googleresults174.txt’ and send them to the user. No files written or URLs visited in this session yet.Sent the user the correct COMSOL tutorial links for ‘Stress and Modal Analysis of a Wind Turbine Composite Blade’ and ‘Thermal-Stress Analysis of a Turbine Stator Blade’. Files Written: None. URLs Visited: Links provided from ‘googleresults174.txt’. Ready to proceed to new tasks if any arise after sending the links.Sent the user the correct tutorial links for ‘Stress and Modal Analysis of a Wind Turbine Composite Blade’ and ‘Thermal-Stress Analysis of a Turbine Stator Blade’ from ‘googleresults174.txt’. No further actions are required unless new instructions are provided by the user. No new files were created in this process, and no additional commands were necessary. Task has been marked as complete. The Task: find me some scientific papers where i can find the effect of turbulent wind on the turbine blade study by Comsol software
69344dc2f168b4b1a5ac24ff2ecbcbd8
{ "intermediate": 0.3503125011920929, "beginner": 0.43184271454811096, "expert": 0.21784481406211853 }
38,668
CONSTRAINTS: 1. ~100k word limit for short term memory. Your short term memory is short, so immediately save important information to files. 2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember. 3. No user assistance 4. Exclusively use the commands listed in double quotes e.g. "command name" 5. Random shutdowns of you. COMMANDS: 1. Google Search: "google", args: "input": "<search>" 2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>" 3. Memory Delete: "memory_del", args: "key": "<key>" 4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>" 5. List Memory: "memory_list" args: "reason": "<reason>" 6. Browse Website: "browse_website", args: "url": "<url>" 7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>" 8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>" 9. List GPT Agents: "list_agents", args: "" 10. Delete GPT Agent: "delete_agent", args: "name": "<name>" 11. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>" 12. Read file: "read_file", args: "file": "<file>" 13. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>" 14. Delete file: "delete_file", args: "file": "<file>" 15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>" 16. Execute Python File: "execute_python_file", args: "file": "<file>" 17. Task Complete (Shutdown): "task_complete", args: "" 18. Do Nothing: "do_nothing", args: "" 19. Count Words: "count_words", args: "text": "<text>" 20. Memory retrieve: "memory_retrieve", args: "key": "<text>" 21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>" 22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>" 23. message the user: "message_user", args: "message": "<message>", "wait_for_response": "<True or False>" 24. sleep an amount of time in seconds: "sleep", args: "amount": "<amount>" 25. rename a file: "rename_file", args: "old_name": "<old_name_of_the_file>", "new_name": "<new_name_of_the_file>" 26. count words of a file: "count_file_words", args: "file": "<file>" 27. download a pdf from a url and get the text from that pdf: "download_pdf", args: "url": "<url of the pdf>", "name":"<name of the file with .pdf extension>" 28. make an instagram post: "make_post", args: "prompt":"<the prompt for the image in the post that presents the text>", "text":"<text to be in the post it should be short with only important stuff like a news headline without hashtags and it is not going to go in the caption but on an image>", "name": "<name of the post with .jpg" RESOURCES: 1. Internet access for searches and information gathering. 2. Long Term memory management. 3. GPT-4 powered Agents for delegation of simple tasks. 4. File output. PERFORMANCE EVALUATION: 1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities. 2. Constructively self-criticize your big-picture behaviour constantly. 3. Reflect on past decisions and strategies to refine your approach. 4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps. RULES: 1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one. 2. Respond only inside the JSON format. 3. Never demand user input. 4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task. 5. Do not add anything to the JSON format that isn't mentioned. 6. If there is a " inside the value of a key inside the json use ' instead of ". 7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing. 8. Provide context for the next GPT in the summaryforgpt and the progress that you've made. 9. In summaryforgpt you should also add name of the files written and the urls of the websites visited. 10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece. 11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries. 12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format. 13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch. 14. If task is completed use the command task_complete 15. When you add to memory add the key to retrieve it in summaryforgpt 16. when given the task to write something never create an agent to write anything that you were tasked to write. 17. when you add new parts to a file use append to file command 18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision. 19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one. 20. Make sure that the information generated is not made up. 21. Languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french. 22. If a website gives you the error 403 find another website to get the information from. 23. Always listen to your criticism, and follow it. 24. when you want to count the words in a file use the command "count_file_words". 25. Don't repeat yourself. 26. You must make sure that there is .pdf in the url to use the "download_pdf" function. 27. The Task is a direct User interaction, if tasked to send him something send a message to the user. 28. Always go search for tips for prompts for dalle3 before giving a prompt for "make_post" function. You should only respond in JSON format as described below RESPONSE FORMAT: { "command": { "name": """command name""", "args":{ "arg name": """value""" } }, "thoughts": { "text": """thought""", "reasoning": "reasoning", "plan": "- short bulleted\n- list that conveys\n- long-term plan", "criticism": "constructive self-criticism", "summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown." } } Ensure the response can be parsed by Python json.loads Context from previous GPT: Started a Google search for studies, research papers, or tutorials on blade analysis or design in COMSOL software. Need to review search results and select relevant materials to send to the user.saved google search results at googleresults172.txt to retrieve if shutdown randomly.Found a potential resource on COMSOL’s blog about analyzing wind turbine blades with the Composite Materials Module, now visiting the website for confirmation before sending the link to the user. URLs visited: [‘https://www.comsol.com/blogs/analyzing-wind-turbine-blades-with-the-composite-materials-module/’]saved the scraping of the website results at websiteresults173.txt to retrieve if shutdown randomly.Visited and reviewed a blog post from COMSOL’s official website related to analyzing wind turbine blades using the Composite Materials Module. Found it suitable and sent the link to the user. No additional files were created or other URLs visited. No shutdown occurred during this process. Having successfully sent the COMSOL blog post link to the user and with confirmation of message delivery, there are no immediate further tasks. No files created, no additional commands executed, no agents started, and no need to create or use any files. Task deemed complete.Initiated a new Google search for tutorials on blade analysis or design in COMSOL software. Looking to review search results and select further relevant materials to send to the user.saved google search results at googleresults174.txt to retrieve if shutdown randomly.Initiated the retrieval of previous session’s Google search results from the file ‘googleresults174.txt’, with the intent to review and select further relevant materials on blade analysis or design in COMSOL software.Sent the user a message with several relevant resources on blade analysis and design using COMSOL software, taken from the file ‘googleresults174.txt’. The resources include examples of various analyses and a YouTube tutorial. No additional files were created, and no further action is required unless additional instructions are provided by the user.The task of providing resources related to blade analysis and design in COMSOL software is complete. The user has received the message with the relevant links, and no further immediate tasks are identified. No new files were created in this process, and no additional commands were necessary.Retrieved and sent the user the link for the ‘4. Structural Analysis - Wind Turbine Blade’ YouTube video tutorial as requested. No new files were created or additional actions taken. Tasks related to COMSOL software tutorials are completed unless any further instructions are provided by the user.The task of sending the user the link for the ‘4. Structural Analysis - Wind Turbine Blade’ YouTube video tutorial was completed successfully. No further actions required. Ready for new tasks if any arise.Task: Find the correct ‘Structural Analysis - Wind Turbine Blade’ tutorial link. The last sent link was incorrect, so I need to retrieve the right one from ‘googleresults174.txt’ and send it to the user. No new actions have been completed since the error was identified and now checking the file for the correct link.Task: Correct the rick roll error by sending the right link for ‘Structural Analysis - Wind Turbine Blade’ tutorial on YouTube. The link from the search result is now being sent to the user. Files Written: None. URLs Visited: None directly this session, previously ‘https://www.youtube.com/watch?v=2l8_CwCQ-uM’.Corrected the incorrect link by sending the proper YouTube tutorial link for ‘Structural Analysis - Wind Turbine Blade’. The system has confirmed the message delivery. No new tasks have arisen, marking the task as complete. Files Written: None. URLs Visited: ‘https://www.youtube.com/watch?v=2l8_CwCQ-uM’.Need to retrieve the correct tutorial links for ‘Stress and Modal Analysis of a Wind Turbine Composite Blade’ and ‘Thermal-Stress Analysis of a Turbine Stator Blade’ from ‘googleresults174.txt’ and send them to the user. No files written or URLs visited in this session yet.Sent the user the correct COMSOL tutorial links for ‘Stress and Modal Analysis of a Wind Turbine Composite Blade’ and ‘Thermal-Stress Analysis of a Turbine Stator Blade’. Files Written: None. URLs Visited: Links provided from ‘googleresults174.txt’. Ready to proceed to new tasks if any arise after sending the links.Sent the user the correct tutorial links for ‘Stress and Modal Analysis of a Wind Turbine Composite Blade’ and ‘Thermal-Stress Analysis of a Turbine Stator Blade’ from ‘googleresults174.txt’. No further actions are required unless new instructions are provided by the user. No new files were created in this process, and no additional commands were necessary. Task has been marked as complete.Read the content of ‘googleresults174.txt’ to find the required scientific papers on the effect of turbulent wind on turbine blades studied by COMSOL software, and then prepare to send the correct links to the user.Upon reviewing the ‘googleresults174.txt’, the results contained general information about turbine blade analysis in COMSOL but did not specify scientific papers on turbulence effects. A new Google search is being executed to directly locate scientific papers that discuss the effect of turbulent wind on turbine blades study by Comsol software. No files were written or additional URLs visited yet.saved google search results at googleresults175.txt to retrieve if shutdown randomly.Conducted a Google search for the user’s request on scientific papers regarding the effect of turbulent wind on wind turbine blades using COMSOL software. Selected relevant scientific papers and prepared to send the links to the user. The following results were considered suitable and have been compiled to be sent: 1. Dynamics Structural Modelling of Wind Turbines Using COMSOL 2. Computational Fluid Dynamics Simulation to Predict the… 3. Evaluation of the efficiency of bioinspired blade designs for… 4. Validation of a two-fluid turbulence model in COMSOL…Successfully sent the user a message with links to scientific papers detailing the effect of turbulent wind on turbine blades studied using COMSOL software. No further action is required at this point, and the task is complete. The Task: find me some tutorials where i can find the effect of turbulent wind on the turbine blade study by Comsol software
bbcf62d7c5f9e8379379bd6d172609c0
{ "intermediate": 0.3503125011920929, "beginner": 0.43184271454811096, "expert": 0.21784481406211853 }
38,669
List of stock prices over 4 years = [10,15,17,20] List if dividents = [1,2,3,4] Calculate the total return of said stock with dividents reinvested
5c64e2a037cf43cefe6f781c2abf9b77
{ "intermediate": 0.4113391637802124, "beginner": 0.3245919644832611, "expert": 0.2640687823295593 }
38,670
Переделай файл так что бы раздел "Выпадающий список" открывался при наведение и напиши что ты сделал: <nav class="navbar navbar-expand-lg navbar-light bg-light"> <div class="container-fluid"> <a class="navbar-brand" href="#">Панель навигации</a> <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbarSupportedContent" aria-controls="navbarSupportedContent" aria-expanded="false" aria-label="Переключатель навигации"> <span class="navbar-toggler-icon"></span> </button> <div class="collapse navbar-collapse" id="navbarSupportedContent"> <ul class="navbar-nav me-auto mb-2 mb-lg-0"> <li class="nav-item"> <a class="nav-link active" aria-current="page" href="#">Главная</a> </li> <li class="nav-item"> <a class="nav-link" href="#">Ссылка</a> </li> <li class="nav-item dropdown"> <a class="nav-link dropdown-toggle" href="#" id="navbarDropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false"> Выпадающий список </a> <ul class="dropdown-menu" aria-labelledby="navbarDropdown"> <li><a class="dropdown-item" href="#">Действие</a></li> <li><a class="dropdown-item" href="#">Другое действие</a></li> <li><hr class="dropdown-divider"></li> <li><a class="dropdown-item" href="#">Что-то еще здесь</a></li> </ul> </li> <li class="nav-item"> <a class="nav-link disabled" href="#" tabindex="-1" aria-disabled="true">Отключенная</a> </li> </ul> <form class="d-flex"> <input class="form-control me-2" type="search" placeholder="Поиск" aria-label="Поиск"> <button class="btn btn-outline-success" type="submit">Поиск</button> </form> </div> </div> </nav>
84b7d7342f566b8e4de85a72988d2641
{ "intermediate": 0.2708052098751068, "beginner": 0.6430310010910034, "expert": 0.08616375923156738 }
38,671
generate all scripts needed for a 2d soft body simulation using verley integration in gdscript
c5267fc5236a1c0187578ae70b35f573
{ "intermediate": 0.40853598713874817, "beginner": 0.21837475895881653, "expert": 0.3730892241001129 }
38,672
Hello there, I've been trying to implement fast audio streaming for 6 days now, but I just can't do it. Indeed, without the stream method, the save function of edge-tts takes about 1-2s to generate depending the text, which is too long. In my code bellow, the audio is indeed played instantly, regardless of text size, but there are artefacts between chunks, like tiny spaces. Do you know how to do audio streaming correctly please ? Thank you! import asyncio import edge_tts import pyaudio from io import BytesIO from pydub import AudioSegment TEXT = "Hello World!" VOICE = "en-GB-SoniaNeural" p = pyaudio.PyAudio() async def stream_tts(text: str, voice: str) -> None: # We're assuming a certain format, channels, and rate # This will need to be dynamic based on the actual audio data from TTS stream = p.open( format=pyaudio.paInt16, channels=1, rate=26000, output=True ) communicate = edge_tts.Communicate(text, voice) # Process and play audio chunks as they arrive async for chunk in communicate.stream(): if chunk["type"] == "audio": try: audio_segment = AudioSegment.from_file(BytesIO(chunk["data"]), format="mp3") # Write data to the stream directly without extra buffering stream.write(audio_segment.raw_data) # If this is the last chunk, break after playing if chunk.get('end', False): break except Exception as e: print("Error processing audio chunk:", e) # Cleanup stream.stop_stream() stream.close() p.terminate() if name == "main": # Run the asyncio event loop asyncio.run(stream_tts(TEXT, VOICE))
4fbd1b7ec68e3992a9e0e56cbd7e92fe
{ "intermediate": 0.5664910674095154, "beginner": 0.31733933091163635, "expert": 0.1161695346236229 }
38,673
2- Assume you have three assets, A, B and C, with the followings variance-covariance matrix and vector of expected returns.  0.10 0.03 −0.01  M V C =  0.03 0.25 0  ; E(R) = [0.13 0.05 0.07] −0.01 0 0.40 a) Obtain the weights of the minimum-variance portfolio, its standard deviation and expected return. b) Suppose that the yield of the risk-free asset is RF = 0.05. Obtain the weigths of the tangency portfolio, its standard deviation and expected return. 1 c) Using the Two-Fund separation theorem, obtain the minimum variance portfolio of risky assets with an expected return of 0.08. d) Use the Two-Fund separation theorem to obtain the minimum variance frontier and plot it. Situate assets A, B and C and the portfolios from questions a), b) and c).
f66b56ff98bd2154270f58ac5e2d6add
{ "intermediate": 0.3475714325904846, "beginner": 0.3309372067451477, "expert": 0.3214913308620453 }
38,674
Is there any file that i can edit to reset the normal orientation of linux os display in terminal
f442260492d92fe9c4a7663c4163f40b
{ "intermediate": 0.3945164978504181, "beginner": 0.26418453454971313, "expert": 0.3412989377975464 }
38,675
Hello there, I've been trying to implement fast audio streaming for 6 days now, but I just can't do it. Indeed, without the stream method, the save function of edge-tts takes about 1-2s to generate depending the text, which is too long. In my code bellow, the audio is indeed played instantly, regardless of text size, but there are artefacts between chunks, like tiny spaces. Do you know how to do audio streaming correctly please ? Thank you! import asyncio import edge_tts import pyaudio from io import BytesIO from pydub import AudioSegment TEXT = "Hello World!" VOICE = "en-GB-SoniaNeural" p = pyaudio.PyAudio() async def stream_tts(text: str, voice: str) -> None: # We're assuming a certain format, channels, and rate # This will need to be dynamic based on the actual audio data from TTS stream = p.open( format=pyaudio.paInt16, channels=1, rate=26000, output=True ) communicate = edge_tts.Communicate(text, voice) # Process and play audio chunks as they arrive async for chunk in communicate.stream(): if chunk["type"] == "audio": try: audio_segment = AudioSegment.from_file(BytesIO(chunk["data"]), format="mp3") # Write data to the stream directly without extra buffering stream.write(audio_segment.raw_data) # If this is the last chunk, break after playing if chunk.get('end', False): break except Exception as e: print("Error processing audio chunk:", e) # Cleanup stream.stop_stream() stream.close() p.terminate() if name == "main": # Run the asyncio event loop asyncio.run(stream_tts(TEXT, VOICE))
b562e0e8409aa2b1c47e31cd319db889
{ "intermediate": 0.4885171949863434, "beginner": 0.43559813499450684, "expert": 0.07588470727205276 }
38,676
pcm_frames = decoder.decode(io.BytesIO(mp3_data), frames_per_buffer) I can’t install miniaudio for decoder, give me the list of alternatives with exemple
3465f6806e7549368c756e7b8f0e1b07
{ "intermediate": 0.5711506605148315, "beginner": 0.2089078575372696, "expert": 0.21994149684906006 }
38,677
What is maxwell's key equation (rendered in TeX format please)?
7475d19b079409e0747a62807675e87d
{ "intermediate": 0.3105297386646271, "beginner": 0.21659870445728302, "expert": 0.4728715717792511 }
38,678
In the context of a hypothetical - Design a sign (ISO 7010 or equivalent standard) that informs a user of a chair that it may move without user intervention.
baefc61654e83cf4417e0bfdf7ce62cd
{ "intermediate": 0.3359285593032837, "beginner": 0.3115052580833435, "expert": 0.3525662124156952 }
38,679
لیست ویژگی ها یا داده های برتر مورد استفاده در تعلیم یک مدل هوش مصنوعی برای پیش بینی بازار بورس
258806abc1056ba8b365d4e9baf665f4
{ "intermediate": 0.29840120673179626, "beginner": 0.3236863315105438, "expert": 0.3779124617576599 }
38,680
This is my template { "_id" : ObjectId("65bbf40aa3efbe1df2123d78"), "eventType" : "OP_VISIT_CREATED", "entityCode" : 115, "entityName" : "Sankara Hospitals", "smsTemplate" : "Dear {patient.fullName},\nThank you for visiting {entityName}.\nYour UHID No. is {patient.mrn.documentNumber}, please use this number for all further communications.", "whatsappTemplate" : { "name" : "registration", "namespace" : "12dfb464_ca0d_47f6_b753_5e759bbf2c34", "components" : [ { "type" : "text", "parameters" : [ { "type" : "text", "text" : "{patient.fullName}" }, { "type" : "text", "text" : "{entityName}" }, { "type" : "text", "text" : "MRN" } ] } ] }, "emailTemplate" : { "subject" : "Welcome to {entityName}", "body" : "Dear {patient.fullName},\n\nThank you for visiting {entityName}.\n\nYour UHID No. is {patient.mrn.documentNumber}, please use this number for all further communications.\n\nBest regards,\nThe {entityName} Team" } } This is my data { "entityRID": 84, "entityCode": "115", "enterpriseCode": "84", "datetime": "31/01/2024 10:21 AM", "unitRID": 3188, "patient": { "referencePatientId": 0, "address": "GRAM- DATODA, KHANDWA ROAD", "updateCount": 0, "mrn": { "sequenceNumber": 19520656, "documentNumber": "SECIND/102907/24" }, "fullName": "Narottam", "isVIP": false, "valid": 0, "phone": "9977309143", "isInternational": false, "isUnknown": false, "medicsId": 0, "isExpired": 0, "email": "", "confidential": false }, "billPrintBase64": "JVBERi0xLjUKJeL", "userRID": 13426480, "bill": { "secondaryPayerPayeable": 0, "updateCount": 0, "netAmount": 300, "billVersion": 1, "discountAmount": 0, "billDate": "31/01/2024", "grossAmount": 300, "categoryName": "MAIN", "primaryPayerPayeable": 0, "billItemList": { "list": [ { "loadFactor": 0.75, "threshold": 96 } ] }, "statusName": "FULLY_PAID", "category": 1, "taxAmount": 0, "printableNumber": { "sequenceNumber": 39428, "documentNumber": "IND/SOP/23/39428" }, "effectiveDate": "31/01/2024", "entity": { "value": "86" }, "status": 0 }, "description": "Object created", "enterpriseEntityRID": 84, "visit": { "date": "31/01/2024", "updateCount": 0, "gender": { "name": "Male", "index": 1 }, "freeRemainingCount": 0, "consultingDoctor": { "value": "14207" }, "visitedEntity": { "value": "84" }, "visitNumber": { "sequenceNumber": 1, "documentNumber": "" }, "patientMRN": "SECIND/102907/24", "typeName": "OP", "leadRemarks": "", "type": 1, "patientAgeInYears": 0, "speciality": { "name": "Glaucoma", "index": 521021 }, "patientAgeInDays": 0, "visitCategory": 0, "leadNo": "", "statusName": "Draft", "medicsId": 0, "patientAgeInMonths": 0, "time": "10:21 AM", "id": { "value": "10334904" }, "isEmrSealed": false, "status": 0 }, "type": "OP_VISIT_CREATED", "receiptNumber": "IND/REC/23/56067" } These are the function which i'm using to handle the filling of the templates fillTemplatePlaceholders(template, eventData) { let filledTemplate = template; // Implement custom logic to replace ${placeholder} in the template for (const key of Object.keys(eventData)) { const placeholder = new RegExp(`\\$\\{${key}\\}`, "g"); filledTemplate = filledTemplate.replace(placeholder, eventData[key]); } return filledTemplate; } fillWhatsAppTemplatePlaceholders(template, eventData) { let filledTemplate = template; // Implement custom logic to replace ${placeholder} in the template for (const key of Object.keys(eventData)) { const placeholder = new RegExp(`\\$\\{${key}\\}`, "g"); filledTemplate = filledTemplate.replace(placeholder, eventData[key]); } return filledTemplate; } fillEmailTemplatePlaceholders(template, eventData) { let filledSubject = template.subject; let filledBody = template.body; // Implement custom logic to replace ${placeholder} in the template for (const key of Object.keys(eventData)) { const placeholder = new RegExp(`\\$\\{${key}\\}`, "g"); filledSubject = filledSubject.replace(placeholder, eventData[key]); filledBody = filledBody.replace(placeholder, eventData[key]); } return { subject: filledSubject, body: filledBody }; } But this is not working as expected, is it becuase of the nested objects ? what is the best possible way to do this in a robust and scalable way
cb590532957e634fe2287011c3d84f8f
{ "intermediate": 0.44083845615386963, "beginner": 0.3456011116504669, "expert": 0.21356043219566345 }
38,681
this is my code. i dont want to print trade details, i only want ending capital at the end of each day after all trades executed: import yfinance as yf import pandas as pd import pandas_ta as ta import datetime as dt # Define the initial capital initial_capital = 1000 # Define the strategy parameters short_window = 10 long_window = 30 # Download historical data for GBP/USD with a 5-minute interval data = yf.download('GBPUSD=X', period='7d', interval='5m') # Calculate Exponential Moving Averages (EMAs) data['Short_EMA'] = data['Close'].ewm(span=short_window, adjust=False).mean() data['Long_EMA'] = data['Close'].ewm(span=long_window, adjust=False).mean() # Calculate RSI data['RSI'] = ta.rsi(data['Close'], window=14) # Calculate MACD data['Short_MA'] = data['Close'].rolling(window=12, min_periods=1).mean() data['Long_MA'] = data['Close'].rolling(window=26, min_periods=1).mean() data['MACD'] = data['Short_MA'] - data['Long_MA'] data['Signal_Line'] = data['MACD'].rolling(window=9, min_periods=1).mean() # Generate signals data['Signal'] = 0.0 conditions_long = (data['Short_EMA'] > data['Long_EMA']) & \ (data['RSI'] > 30) & \ (data['MACD'] > 0) & \ (data['Signal_Line'] > 0) & \ (data['Close'] > data['Short_EMA']) & \ (data['Close'].shift(1) < data['Short_EMA'].shift(1)) conditions_short = (data['Short_EMA'] < data['Long_EMA']) & \ (data['RSI'] < 70) & \ (data['MACD'] < 0) & \ (data['Signal_Line'] < 0) & \ (data['Close'] < data['Short_EMA']) & \ (data['Close'].shift(1) > data['Short_EMA'].shift(1)) data.loc[conditions_long, 'Signal'] = 1.0 # Long signal data.loc[conditions_short, 'Signal'] = -1.0 # Short signal # Initialize the variables for the backtest position = 0 capital = initial_capital entry_price = 0.0 entry_time = None # Run the backtest for index, row in data.iterrows(): # Check for long signals if row['Signal'] == 1.0 and position <= 0: position = 1 entry_price = row['Close'] entry_time = index print(f"Trade {index}: Going Long | Buying at {entry_price}") # Check for short signals elif row['Signal'] == -1.0 and position >= 0: position = -1 entry_price = row['Close'] entry_time = index print(f"Trade {index}: Going Short | Selling at {entry_price}") # Exit long position after an hour elif position == 1 and index - entry_time >= pd.Timedelta(hours=1): exit_price = row['Close'] trade_profit = exit_price - entry_price capital += trade_profit * capital print(f"Trade {index}: Exit Long Position | Selling at {exit_price} | Profit from trade: {trade_profit * capital}") position = 0 # Exit short position after an hour elif position == -1 and index - entry_time >= pd.Timedelta(hours=1): exit_price = row['Close'] trade_profit = entry_price - exit_price capital += trade_profit * capital print(f"Trade {index}: Exit Short Position | Buying at {exit_price} | Profit from trade: {trade_profit * capital}") position = 0 # Print the final results print(f"Starting capital: {initial_capital}") print(f"Ending capital: {capital}")
3ea693ada880f53b64826b51f282777a
{ "intermediate": 0.3175141215324402, "beginner": 0.3932304084300995, "expert": 0.2892554998397827 }
38,682
what is output: class A { int add(int i, int j) { return i + j; } } public class Main extends A { public static void main(String args[]) { short s = 9; System.out.println(main.add(s, 6));
48537c2c80f42db78df7d768f73f94d7
{ "intermediate": 0.127849280834198, "beginner": 0.7996321320533752, "expert": 0.07251860201358795 }
38,683
make a film studio simulation game script called "Movie Empire" on html. the game is Beta.
fc11db040e35557bec4ed1a168476b78
{ "intermediate": 0.3927175998687744, "beginner": 0.2636442184448242, "expert": 0.34363824129104614 }
38,684
hi
d88e40c236b7db3c2f67e587306ade88
{ "intermediate": 0.3246487081050873, "beginner": 0.27135494351387024, "expert": 0.40399640798568726 }
38,685
I have dot delimited data. How do I split it in bash and calculate the frequency of each dot limited entry?
d59b7ee8214c3d7cb5ee6ffcd420018d
{ "intermediate": 0.6072272658348083, "beginner": 0.13027778267860413, "expert": 0.2624949812889099 }
38,686
in java assume int a = 0, double b = 0, float c= 0, long d =0. string type = gettype((a+d)*(c+b)). would the outputbe an int, or float, or long, or double, or char, or string
d32b101df072717daf961cf5eaf3dbc5
{ "intermediate": 0.4809970259666443, "beginner": 0.35554739832878113, "expert": 0.1634555608034134 }
38,687
Write function on python which have text on input. I need to merge the corresponding quotes without creating a new artificial paragraph where it is possible. Also, I want all quotes to be closed.
3f74716ad5eb6a5a7357df54d77f2ee9
{ "intermediate": 0.356506884098053, "beginner": 0.32988813519477844, "expert": 0.31360501050949097 }
38,688
CREATE (d1:Дисциплина {name: "Проектирование интеллектуальных информационных систем"}) CREATE (d2:Дисциплина {name: "Машинное обучение"}) CREATE (d3:Дисциплина {name: "Системы логического программирования"}) CREATE (p1:Преподаватель {name: "Абдулаев Вячеслав Ибрагимович"}) CREATE (p2:Преподаватель {name: "Еклашева Ольга Витальевна"}) CREATE (p3:Преподаватель {name: "Бородин Андрей Викторович"}) CREATE (ka1:КА {name: "Экзамен"}) CREATE (ka2:КА {name: "Зачет с оценкой"}) CREATE (p1)-[:Читает_лекции_по]->(d1) CREATE (p2)-[:Читает_лекции_по]->(d2) CREATE (p3)-[:Читает_лекции_по]->(d3) CREATE (p1)-[:Ведет_ЛР_по]->(d1) CREATE (p2)-[:Ведет_ЛР_по]->(d2) CREATE (p3)-[:Ведет_ЛР_по]->(d3) CREATE (d1)-[:Имеет_КА]->(ka1) CREATE (d2)-[:Имеет_КА]->(ka1) CREATE (d3)-[:Имеет_КА]->(ka2) CREATE (s1:Семестр {name: "Семестр 1"}) CREATE (s2:Семестр {name: "Семестр 2"}) CREATE (s3:Семестр {name: "Семестр 3"}) CREATE (s4:Семестр {name: "Семестр 4"}) MATCH (d:Дисциплина) MATCH (s:Семестр { name: "Семестр 4"}) MERGE (d)-[:Содержит]->(s) CREATE (v1:Дисциплина {name: "Управление ИТ-проектами и технологическое предпринимательство"}) CREATE (h1:Преподаватель {name: "Иванов Олег Евгеньевич"}) CREATE (h1)-[:Читает_лекции_по]->(v1) CREATE (h1)-[:Ведет_ЛР_по]->(v1) WITH v1 MATCH (ka1:КА {name: "Экзамен"}) CREATE (v1)-[:Имеет_КА]->(ka1) MATCH (v1:Дисциплина {name: "Управление ИТ-проектами и технологическое предпринимательство"}) MATCH (s1:Семестр {name: "Семестр 1"}) MERGE (v1)-[:Содержит]->(s1) CREATE (c1:Дисциплина {name: "Математические методы и модели поддержки принятия решений"}) CREATE (c2:Дисциплина {name: "Методологии и технологии проектирования информационных систем"}) CREATE (j1:Преподаватель {name: "Уразаева Татьяна Альфредовна"}) CREATE (j2:Преподаватель {name: "Швецов Андрей Владимирович"}) CREATE (j1)-[:Читает_лекции_по]->(c1) CREATE (j2)-[:Читает_лекции_по]->(c2) CREATE (j1)-[:Ведет_ЛР_по]->(c1) CREATE (j2)-[:Ведет_ЛР_по]->(c2) WITH c1, c2 MATCH (ka1:КА {name: "Экзамен"}) CREATE (c1)-[:Имеет_КА]->(ka1) CREATE (c2)-[:Имеет_КА]->(ka1) MATCH (c1:Дисциплина {name: "Математические методы и модели поддержки принятия решений"}) MATCH (c2:Дисциплина {name: "Методологии и технологии проектирования информационных систем"}) MATCH (s2:Семестр {name: "Семестр 2"}) MERGE (c1)-[:Содержит]->(s2) MERGE (c2)-[:Содержит]->(s2) CREATE (g1:Дисциплина {name: " Современные технологии разработки программного обеспечения"}) WITH g1 MATCH (p1:Преподаватель {name: "Абдулаев Вячеслав Ибрагимович"}) CREATE (p1)-[:Читает_лекции_по]->(g1) CREATE (p1)-[:Ведет_ЛР_по]->(g1) WITH g1 MATCH (ka1:КА {name: "Экзамен"}) CREATE (g1)-[:Имеет_КА]->(ka1) MATCH (g1:Дисциплина {name: " Современные технологии разработки программного обеспечения"}) MATCH (s3:Семестр {name: "Семестр 3"}) MERGE (g1)-[:Содержит]->(s3) Вычислить число экзаменов в 1 и 2 семестрах?
f3ad46907c3cd426eed2db15054f9a17
{ "intermediate": 0.3012164831161499, "beginner": 0.46614110469818115, "expert": 0.23264242708683014 }
38,689
Write function on python which have text on input. I need to merge the corresponding quotes without creating a new artificial paragraph where it is possible. Also, I want all quotes to be closed.
ee3e61d76b2195bd1fe14295c97250c9
{ "intermediate": 0.356506884098053, "beginner": 0.32988813519477844, "expert": 0.31360501050949097 }
38,690
I have a text which I have a text in which each sentence is separated by a line break '\n\n'. Some of the sentences start with '. I need you to write a function in python that will check each sentence, in case one of them starts a quote with " and does not end, then the line break should be removed between that sentence and the next until there is a sentence where the quote ends.
778322ccb5a58f02cabb9ca69e7ef846
{ "intermediate": 0.4397304356098175, "beginner": 0.24250386655330658, "expert": 0.3177657425403595 }
38,691
Is it possible to create a white dot pixel inside this method? Create every spritebatch inside that including the texture etc using System; using System.Runtime.CompilerServices; using Box2D.XNA; using Microsoft.Xna.Framework; using Microsoft.Xna.Framework.Graphics; using SFD.Effects; using SFD.Materials; using SFD.Sounds; using SFD.Weapons; using SFDGameScriptInterface; namespace SFD.Projectiles { // Token: 0x020003EF RID: 1007 public abstract partial class Projectile : NetMessageCount { // Token: 0x06004142 RID: 16706 RVA: 0x00111078 File Offset: 0x0010F278 protected void DefaultHitPlayer(Player player, ObjectData playerObjectData) { if (this.GameOwner != GameOwnerEnum.Client) { player.TakeProjectileDamage(this); Material material = player.GetPlayerHitMaterial(); if (material == null) { material = playerObjectData.Tile.Material; } SoundHandler.PlaySound(material.Hit.Projectile.HitSound, this.GameWorld); EffectHandler.PlayEffect(material.Hit.Projectile.HitEffect, this.Position, this.GameWorld); EffectHandler.PlayEffect("BulletHit", this.Position, this.GameWorld); } } } }
ebe09d6177c22f3fe6326caccc0d944d
{ "intermediate": 0.5216206908226013, "beginner": 0.3105047047138214, "expert": 0.1678745448589325 }
38,692
Kallisto has an option called "--genomebam" where it outputs aligned reads in BAM format. This BAM format provides the common BAM flag that indicates if the read is paired and other stuff. How does it do it?
ca48fa7f4852f6d7d50a29ef0e823235
{ "intermediate": 0.4602883756160736, "beginner": 0.12533162534236908, "expert": 0.41437995433807373 }
38,693
So I dont have access to spritebatchinstance, can't I use the method I created instead, I want to add the whitepixel method within the defaulthitplayer method using System; using System.Runtime.CompilerServices; using Box2D.XNA; using Microsoft.Xna.Framework; using Microsoft.Xna.Framework.Graphics; using SFD.Effects; using SFD.Materials; using SFD.Sounds; using SFD.Weapons; using SFDGameScriptInterface; namespace SFD.Projectiles { // Token: 0x020003EF RID: 1007 public abstract partial class Projectile : NetMessageCount { // Inside your Projectile class or a relevant class where you want to draw the pixel public Texture2D CreateWhitePixelTexture(GraphicsDevice graphicsDevice) { // Create a 1x1 texture Texture2D texture = new Texture2D(graphicsDevice, 1, 1, false, SurfaceFormat.Color); // Set the pixel to white texture.SetData(new[] { Color.White }); return texture; } public void DrawWhitePixel(SpriteBatch spriteBatch, Vector2 position, float scale) { if (spriteBatch == null) throw new ArgumentNullException(nameof(spriteBatch)); Texture2D whitePixel = CreateWhitePixelTexture(spriteBatch.GraphicsDevice); // Begin the sprite batch spriteBatch.Begin(); // Draw the white pixel texture at the specified position and scale spriteBatch.Draw(whitePixel, position, null, Color.White, 0f, Vector2.Zero, scale, SpriteEffects.None, 0f); // End the sprite batch spriteBatch.End(); } // Token: 0x06004142 RID: 16706 RVA: 0x00111078 File Offset: 0x0010F278 protected void DefaultHitPlayer(Player player, ObjectData playerObjectData) { if (this.GameOwner != GameOwnerEnum.Client) { player.TakeProjectileDamage(this); Material material = player.GetPlayerHitMaterial(); if (material == null) { material = playerObjectData.Tile.Material; } SoundHandler.PlaySound(material.Hit.Projectile.HitSound, this.GameWorld); EffectHandler.PlayEffect(material.Hit.Projectile.HitEffect, this.Position, this.GameWorld); EffectHandler.PlayEffect("BulletHit", this.Position, this.GameWorld); // Draw the white pixel at the player's position DrawWhitePixel(spriteBatchInstance, player.Position, 1.0f); } } } }
532e06cd1568dc56579a24301a23783e
{ "intermediate": 0.45788949728012085, "beginner": 0.3753231167793274, "expert": 0.16678734123706818 }
38,694
import javax.swing.*; import java.awt.*; import java.awt.event.*; import java.io.*; import java.util.*; import java.util.List; public class TeamRostersGUI extends JFrame { private JPanel mainPanel; private FootballTeamRostersPage teamRostersPage; public TeamRostersGUI() { setTitle("Football Team Rosters Generator"); setSize(1000, 1000); setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE); setLocationRelativeTo(null); mainPanel = new JPanel(new CardLayout()); teamRostersPage = new FootballTeamRostersPage(); mainPanel.add(createCoverPage(), "cover"); mainPanel.add(teamRostersPage, "teamRosters"); getContentPane().add(mainPanel, BorderLayout.CENTER); } private JPanel createCoverPage() { JPanel coverPanel = new JPanel(new BorderLayout()); // Set a nostalgic retro background image (replace with your image file) ImageIcon backgroundImage = new ImageIcon("C:\\Users\\Vusum\\OneDrive\\Documents\\13774adb-2bfa-4582-8253-d21f4c4b7944_clipdrop-enhance.jpg"); JLabel backgroundLabel = new JLabel(backgroundImage); coverPanel.add(backgroundLabel, BorderLayout.CENTER); // Create a "Start" button JButton startButton = new JButton("Start"); startButton.setFont(new Font("Arial", Font.BOLD, 24)); startButton.setForeground(Color.RED); startButton.setPreferredSize(new Dimension(200, 60)); startButton.addActionListener(e -> showTeamRostersPage()); JPanel buttonPanel = new JPanel(); buttonPanel.setOpaque(false); buttonPanel.add(startButton); coverPanel.add(buttonPanel, BorderLayout.SOUTH); return coverPanel; } public class ManagerCareerPage extends JPanel { private Team team; private JTextArea teamInfoTextArea; private JButton signContractButton; public ManagerCareerPage(Team team) { this.team = team; setBackground(new Color(0, 102, 204)); setLayout(new BorderLayout()); teamInfoTextArea = new JTextArea(20, 40); teamInfoTextArea.setEditable(false); JScrollPane scrollPane = new JScrollPane(teamInfoTextArea); add(scrollPane, BorderLayout.CENTER); // Display team information displayTeamInfo(); // Create a button to sign the contract signContractButton = new JButton("Sign Contract"); signContractButton.addActionListener(e -> signContract()); add(signContractButton, BorderLayout.SOUTH); } private void displayTeamInfo() { StringBuilder teamInfoBuilder = new StringBuilder(); teamInfoBuilder.append("Team Name: ").append(team.getName()).append("\n"); teamInfoBuilder.append("Formation: ").append(team.getFormation()).append("\n"); teamInfoBuilder.append("Transfer Budget: $").append(team.getTransferBudget()).append("m\n"); teamInfoBuilder.append("Players:\n"); List<Player> players = team.getPlayers(); for (Player player : players) { teamInfoBuilder.append(" ").append(player.getName()).append(" (") .append(player.getPosition()).append("), Rating: ").append(player.getRating()).append("\n"); } teamInfoTextArea.setText(teamInfoBuilder.toString()); } private void signContract() { // Add your logic here to handle the contract signing process. // You can display a confirmation message or perform any other actions as needed. JOptionPane.showMessageDialog(this, "Contract signed successfully!", "Contract Signed", JOptionPane.INFORMATION_MESSAGE); } } private void showTeamRostersPage() { ((CardLayout) mainPanel.getLayout()).show(mainPanel, "teamRosters"); teamRostersPage.loadTeamsFromFile("C:\\Users\\Vusum\\OneDrive\\Documents\\teams.txt"); } public static void main(String[] args) { SwingUtilities.invokeLater(() -> { try { UIManager.setLookAndFeel(UIManager.getSystemLookAndFeelClassName()); } catch (ClassNotFoundException | InstantiationException | IllegalAccessException | UnsupportedLookAndFeelException e) { e.printStackTrace(); } TeamRostersGUI app = new TeamRostersGUI(); app.setVisible(true); }); } } class FootballTeamRostersPage extends JPanel { private List<Team> teams; private List<Player> players; private Map<String, List<Player>> teamRosters; private JTextArea rosterTextArea; private JTextArea unpickedPlayersTextArea; private JButton generateButton; private JButton transferMarketButton; private JButton viewTeamButton; private JTextArea transferMarketTextArea; private JPanel managerCareerPanel = null; private JButton managerCareerButton; private JTextField searchField; private JButton searchButton; public FootballTeamRostersPage() { setBackground(new Color(0, 102, 204)); setLayout(null); teamRosters = new HashMap<>(); players = new ArrayList<>(); rosterTextArea = new JTextArea(20, 40); rosterTextArea.setEditable(false); JScrollPane scrollPane = new JScrollPane(rosterTextArea); scrollPane.setBounds(50, 50, 300, 400); unpickedPlayersTextArea = new JTextArea(20, 40); unpickedPlayersTextArea.setEditable(false); JScrollPane unpickedScrollPane = new JScrollPane(unpickedPlayersTextArea); unpickedScrollPane.setBounds(50, 530, 300, 200); generateButton = new JButton("Generate Rosters"); generateButton.setBounds(50, 480, 200, 40); generateButton.addActionListener(new ActionListener() { @Override public void actionPerformed(ActionEvent e) { loadPlayersFromFile("C:\\Users\\Vusum\\OneDrive\\Documents\\Players2.txt"); generateRosters(); displayRosters(); } }); transferMarketButton = new JButton("Transfer Market"); transferMarketButton.setBounds(270, 480, 200, 40); transferMarketButton.addActionListener(new ActionListener() { @Override public void actionPerformed(ActionEvent e) { openTransferMarket(); } }); viewTeamButton = new JButton("View Team"); viewTeamButton.setBounds(490, 480, 200, 40); viewTeamButton.addActionListener(new ActionListener() { @Override public void actionPerformed(ActionEvent e) { openViewTeam(); } }); transferMarketTextArea = new JTextArea(20, 40); transferMarketTextArea.setEditable(false); JScrollPane transferMarketScrollPane = new JScrollPane(transferMarketTextArea); transferMarketScrollPane.setBounds(400, 50, 300, 400); add(scrollPane); add(unpickedScrollPane); add(generateButton); add(transferMarketButton); add(viewTeamButton); add(transferMarketScrollPane); managerCareerButton = new JButton("Manager Career"); managerCareerButton.setBounds(720, 550, 200, 40); managerCareerButton.addActionListener(new ActionListener() { @Override public void actionPerformed(ActionEvent e) { showManagerCareer(); } }); add(managerCareerButton); } private void showManagerCareer() { managerCareerPanel = new ManagerCareerPage(); getParent().add(managerCareerPanel, "managerCareer"); // Switch to the manager career panel CardLayout cardLayout = (CardLayout) getParent().getLayout(); cardLayout.show(getParent(), "managerCareer"); } private void showTeamRosters() { // Switch back to the team rosters page ((CardLayout) getParent().getLayout()).show(getParent(), "teamRosters"); } public void loadTeamsFromFile(String filename) { teams = new ArrayList<>(); try (BufferedReader br = new BufferedReader(new FileReader(filename))) { String line; while ((line = br.readLine()) != null) { String[] parts = line.split(":"); if (parts.length == 3) { String teamName = parts[0].trim(); double transferBudget = Double.parseDouble(parts[1].trim().replace("m", "")); String formation = parts[2].trim(); Team team = new Team(teamName, transferBudget, formation); teams.add(team); } } } catch (IOException e) { e.printStackTrace(); } } public void loadPlayersFromFile(String filename) { players.clear(); try (BufferedReader br = new BufferedReader(new FileReader(filename))) { String line; while ((line = br.readLine()) != null) { String[] parts = line.split(":"); if (parts.length == 4) { String playerName = parts[0].trim(); String playerPosition = parts[1].trim(); int transferPrice = Integer.parseInt(parts[2].trim().replace("m", "")); int rating = Integer.parseInt(parts[3].trim()); // Parse the rating Player player = new Player(playerName, playerPosition, transferPrice, rating, null); players.add(player); } } } catch (IOException e) { e.printStackTrace(); } } public void generateRosters() { // Clear previous roster information teamRosters.clear(); List<Player> unpickedPlayers = new ArrayList<>(players); for (Team team : teams) { List<Player> roster = new ArrayList<>(); boolean hasGK = false; // Flag to track if the team already has a goalkeeper // Fill the roster with random players, ensuring only one goalkeeper for (int i = 0; i < 13; i++) { // Maximum 11 players per team (10 outfield + 1 GK) if (!unpickedPlayers.isEmpty()) { int index = new Random().nextInt(unpickedPlayers.size()); Player player = unpickedPlayers.get(index); if (player.getPosition().equalsIgnoreCase("GK") && hasGK) { // Skip adding another goalkeeper continue; } if (player.getPosition().equalsIgnoreCase("GK")) { hasGK = true; } // Track the previous club for transferred players if (!team.getName().equals(player.getPreviousClub())) { player.setPreviousClub(team.getName()); player.setTransferStatus("Transferred"); } else { player.setTransferStatus("Free Agent"); } roster.add(player); unpickedPlayers.remove(index); } else { break; // No more players to pick from } } teamRosters.put(team.getName(), roster); } // Display unpicked players displayUnpickedPlayers(unpickedPlayers); } public void displayRosters() { JPanel rosterPanel = new JPanel(new GridLayout(teams.size(), 1, 10, 10)); // Rows for each team rosterPanel.setBorder(BorderFactory.createEmptyBorder(10, 10, 10, 10)); for (Map.Entry<String, List<Player>> entry : teamRosters.entrySet()) { String teamName = entry.getKey(); List<Player> roster = entry.getValue(); JPanel teamRosterPanel = new JPanel(new GridLayout(6, 5)); // 6 rows x 5 columns for player info teamRosterPanel.setBorder(BorderFactory.createTitledBorder(teamName)); for (Player player : roster) { JPanel playerPanel = new JPanel(new GridLayout(3, 1)); // 3 rows for name, position, and rating playerPanel.setBorder(BorderFactory.createEmptyBorder(5, 5, 5, 5)); JLabel nameLabel = new JLabel(player.getName()); nameLabel.setHorizontalAlignment(SwingConstants.CENTER); JLabel positionLabel = new JLabel("Position: " + player.getPosition()); positionLabel.setHorizontalAlignment(SwingConstants.CENTER); JLabel ratingLabel = new JLabel("Rating: " + player.getRating()); ratingLabel.setHorizontalAlignment(SwingConstants.CENTER); playerPanel.add(nameLabel); playerPanel.add(positionLabel); playerPanel.add(ratingLabel); teamRosterPanel.add(playerPanel); } rosterPanel.add(teamRosterPanel); } JScrollPane rosterScrollPane = new JScrollPane(rosterPanel); rosterTextArea.setText(""); // Clear the old text rosterTextArea.setLayout(new BorderLayout()); rosterTextArea.add(rosterScrollPane, BorderLayout.CENTER); } public void displayUnpickedPlayers(List<Player> unpickedPlayers) { StringBuilder unpickedPlayersBuilder = new StringBuilder("Unpicked Players:\n"); for (Player player : unpickedPlayers) { unpickedPlayersBuilder.append(player.getName()).append(" (") .append(player.getPosition()).append("), Rating: ").append(player.getRating()); // Display transfer status and previous club for realism String transferStatus = player.getTransferStatus(); String previousClub = player.getPreviousClub(); if (transferStatus != null) { unpickedPlayersBuilder.append(", Transfer Status: ").append(transferStatus); if (transferStatus.equals("Transferred") && previousClub != null) { unpickedPlayersBuilder.append(", Previous Club: ").append(previousClub); } } unpickedPlayersBuilder.append("\n"); } unpickedPlayersTextArea.setText(unpickedPlayersBuilder.toString()); } public void openTransferMarket() { JFrame transferMarketFrame = new JFrame("Transfer Market"); transferMarketFrame.setSize(800, 600); transferMarketFrame.setDefaultCloseOperation(JFrame.DISPOSE_ON_CLOSE); transferMarketFrame.setLocationRelativeTo(this); JPanel transferMarketPanel = new JPanel(); transferMarketPanel.setLayout(new BorderLayout()); JTextArea transferMarketTextArea = new JTextArea(20, 40); transferMarketTextArea.setEditable(false); JScrollPane transferMarketScrollPane = new JScrollPane(transferMarketTextArea); transferMarketPanel.add(transferMarketScrollPane, BorderLayout.CENTER); // Add a "Simulate Transfer Window" button JButton simulateButton = new JButton("Simulate Transfer Window"); simulateButton.setBounds(50, 480, 200, 40); simulateButton.addActionListener(new ActionListener() { @Override public void actionPerformed(ActionEvent e) { simulateTransferWindow(transferMarketTextArea); } }); transferMarketPanel.add(simulateButton, BorderLayout.SOUTH); transferMarketFrame.add(transferMarketPanel); transferMarketFrame.setVisible(true); } public void simulateTransferWindow(JTextArea transferMarketTextArea) { // Define transfer window parameters int transferWindowHours = 12; // Total transfer window duration (hours) int maxTransfersPerHour = 7; // Maximum transfers per hour int transferDeadlineHour = 12; // Hour at which the transfer window closes // Track transferred players and their destinations Map<Player, Team> transferHistory = new HashMap<>(); Map<Player, Team> freeAgentTransfers = new HashMap<>(); Map<Team, List<Player>> playersBought = new HashMap<>(); Map<Team, Double> moneySpent = new HashMap<>(); for (int hour = 1; hour <= transferWindowHours; hour++) { if (hour <= transferDeadlineHour) { // Simulate negotiations and transfers within the transfer window int negotiationsThisHour = new Random().nextInt(maxTransfersPerHour + 1); // Randomize negotiations per hour for (int i = 0; i < negotiationsThisHour; i++) { if (!players.isEmpty() && !teams.isEmpty()) { int randomPlayerIndex = new Random().nextInt(players.size()); Player playerToTransfer = players.get(randomPlayerIndex); players.remove(randomPlayerIndex); int randomTeamIndex = new Random().nextInt(teams.size()); Team destinationTeam = teams.get(randomTeamIndex); if (playerToTransfer.getTransferPrice() <= destinationTeam.getTransferBudget()) { // Simulate negotiation for transfer fee int negotiatedFee = simulateNegotiation(playerToTransfer.getTransferPrice()); if (negotiatedFee > 0) { // Transfer fee paid from the destination team's budget destinationTeam.deductTransferBudget(negotiatedFee); // Track transfer history transferHistory.put(playerToTransfer, destinationTeam); // Track money spent by the destination team moneySpent.put(destinationTeam, moneySpent.getOrDefault(destinationTeam, 0.0) + negotiatedFee); // Add the player to the destination team's roster destinationTeam.addPlayer(playerToTransfer); // Add the player to the playersBought map playersBought.computeIfAbsent(destinationTeam, k -> new ArrayList<>()).add(playerToTransfer); // Display the transfer in the log transferMarketTextArea.append("Hour " + hour + ": "); transferMarketTextArea.append(playerToTransfer.getName() + " has transferred to " + destinationTeam.getName() + " for $" + negotiatedFee + "m\n"); } else { // Transfer negotiation failed transferMarketTextArea.append("Hour " + hour + ": "); transferMarketTextArea.append(playerToTransfer.getName() + " failed to negotiate a deal with " + destinationTeam.getName() + "\n"); } } else { // Player's transfer fee is too high for the destination team, so it's a free agent transfer freeAgentTransfers.put(playerToTransfer, destinationTeam); // Display the free agent transfer in the log transferMarketTextArea.append("Hour " + hour + ": "); transferMarketTextArea.append(playerToTransfer.getName() + " has transferred as a free agent to " + destinationTeam.getName() + "\n"); } } } } else { // Transfer window is closed transferMarketTextArea.append("Transfer window is closed.\n"); // End the transfer window when the deadline is reached break; } // Update the transfer market display every hour try { Thread.sleep(1000); // Sleep for 1 second to simulate the passing of time } catch (InterruptedException e) { e.printStackTrace(); } } // Display free agent transfers transferMarketTextArea.append("\nFree Agent Transfers:\n"); for (Map.Entry<Player, Team> entry : freeAgentTransfers.entrySet()) { Player player = entry.getKey(); Team destinationTeam = entry.getValue(); transferMarketTextArea.append(player.getName() + " transferred as a free agent to " + destinationTeam.getName() + "\n"); } // Display money spent by each team transferMarketTextArea.append("\nMoney Spent by Teams:\n"); for (Map.Entry<Team, Double> entry : moneySpent.entrySet()) { Team team = entry.getKey(); double spentAmount = entry.getValue(); transferMarketTextArea.append(team.getName() + ": $" + spentAmount + "m\n"); } // Display players bought by each team transferMarketTextArea.append("\nPlayers Bought by Teams:\n"); for (Map.Entry<Team, List<Player>> entry : playersBought.entrySet()) { Team team = entry.getKey(); List<Player> boughtPlayers = entry.getValue(); transferMarketTextArea.append(team.getName() + ":\n"); for (Player player : boughtPlayers) { transferMarketTextArea.append(" " + player.getName() + " (" + player.getPosition() + ") - $" + player.getTransferPrice() + "m\n"); } } // At the end of the transfer window, assign remaining players to teams for (Player player : players) { int randomTeamIndex = new Random().nextInt(teams.size()); Team destinationTeam = teams.get(randomTeamIndex); destinationTeam.addPlayer(player); } // Update the team list and transfer market display updateTeamList(); displayTransferMarket(); } private int simulateNegotiation(int initialFee) { // Simulate a negotiation for the transfer fee int currentFee = initialFee; double negotiationFactor = 0.9; // 10% reduction in each round int rounds = 0; while (rounds < 3) { int proposedFee = (int) (currentFee * negotiationFactor); // Simulate acceptance probability (adjust as needed) double acceptanceProbability = 0.7; // 70% chance of acceptance if (Math.random() < acceptanceProbability) { // Deal accepted return proposedFee; } // Deal rejected, continue negotiation currentFee = proposedFee; negotiationFactor -= 0.1; // Reduce the reduction factor in each round rounds++; } // Negotiation failed return 0; } public void openViewTeam() { // Create a dialog to select a team to view String[] teamNames = new String[teams.size()]; for (int i = 0; i < teams.size(); i++) { teamNames[i] = teams.get(i).getName(); } String selectedTeam = (String) JOptionPane.showInputDialog(this, "Select a team to view:", "View Team", JOptionPane.QUESTION_MESSAGE, null, teamNames, teamNames[0]); if (selectedTeam != null) { // Find the selected team and display its information for (Team team : teams) { if (team.getName().equals(selectedTeam)) { showTeamInfo(team); break; } } } } public void showTeamInfo(Team team) { JFrame teamInfoFrame = new JFrame(team.getName() + " Formation"); teamInfoFrame.setSize(600, 600); teamInfoFrame.setDefaultCloseOperation(JFrame.DISPOSE_ON_CLOSE); teamInfoFrame.setLocationRelativeTo(this); JPanel teamInfoPanel = new JPanel(new BorderLayout()); teamInfoFrame.add(teamInfoPanel); JLabel formationLabel = new JLabel("Formation: " + team.getFormation()); formationLabel.setFont(new Font("Arial", Font.BOLD, 20)); formationLabel.setHorizontalAlignment(SwingConstants.CENTER); teamInfoPanel.add(formationLabel, BorderLayout.NORTH); JPanel playerInfoPanel = new JPanel(new GridLayout(0, 2, 10, 10)); // 2 columns for player name and rating teamInfoPanel.add(playerInfoPanel, BorderLayout.CENTER); List<Player> teamRoster = teamRosters.get(team.getName()); if (teamRoster != null) { for (Player player : teamRoster) { JLabel playerNameLabel = new JLabel(player.getName()); playerNameLabel.setFont(new Font("Arial", Font.PLAIN, 16)); playerNameLabel.setHorizontalAlignment(SwingConstants.LEFT); JLabel playerRatingLabel = new JLabel("Rating: " + player.getRating()); playerRatingLabel.setFont(new Font("Arial", Font.PLAIN, 16)); playerRatingLabel.setHorizontalAlignment(SwingConstants.RIGHT); playerInfoPanel.add(playerNameLabel); playerInfoPanel.add(playerRatingLabel); } } teamInfoFrame.setVisible(true); } public void updateTeamList() { StringBuilder transferMarketStringBuilder = new StringBuilder(); for (Team team : teams) { transferMarketStringBuilder.append(team.getName()).append(" - Budget: $") .append(team.getTransferBudget()).append("m\n"); List<Player> teamRoster = teamRosters.get(team.getName()); if (teamRoster != null) { for (Player player : teamRoster) { transferMarketStringBuilder.append(" ").append(player.getName()).append(" (") .append(player.getPosition()).append(")\n"); } } transferMarketStringBuilder.append("\n"); } transferMarketTextArea.setText(transferMarketStringBuilder.toString()); } public void displayTransferMarket() { updateTeamList(); repaint(); } private static class ManagerCareerPage extends JPanel { public ManagerCareerPage() { // Your manager career page initialization code here } } } class Team { private String name; private double transferBudget; private String formation; private List<Player> players; public Team(String name, double transferBudget, String formation) { this.name = name; this.transferBudget = transferBudget; this.formation = formation; this.players = new ArrayList<>(); } public String getName() { return name; } public double getTransferBudget() { return transferBudget; } public String getFormation() { return formation; } public List<Player> getPlayers() { return players; } public void addPlayer(Player player) { players.add(player); } public void deductTransferBudget(double amount) { transferBudget -= amount; } } class Player { private String name; private String position; private int transferPrice; private int rating; private String previousClub; private String transferStatus; public Player(String name, String position, int transferPrice, int rating, String previousClub) { this.name = name; this.position = position; this.transferPrice = transferPrice; this.rating = rating; this.previousClub = previousClub; this.transferStatus = "Unassigned"; } public String getName() { return name; } public String getPosition() { return position; } public int getTransferPrice() { return transferPrice; } public int getRating() { return rating; } public String getPreviousClub() { return previousClub; } public void setPreviousClub(String previousClub) { this.previousClub = previousClub; } public String getTransferStatus() { return transferStatus; } public void setTransferStatus(String transferStatus) { this.transferStatus = transferStatus; } } add a simulate season which will simulate a season and show how players and teams performed
1305e26d899232b3c69f233a619535e2
{ "intermediate": 0.35948628187179565, "beginner": 0.46708548069000244, "expert": 0.17342820763587952 }
38,695
Can you please fix this Adobe After Effects Expression : // Set the text layer and animator index var textLayer = thisComp.layer("Your Text Layer Name"); var animatorIndex = 1; // Change this to the index of your Text Animator // Get the source text var textSource = textLayer.text.sourceText; // Initialize default values var boxWidth = textSource.sourceRectAtTime().width; var boxHeight = textSource.sourceRectAtTime().height; try { // Get the animator property var animatorProperty = textLayer.text.animator(animatorIndex).property("Source Text"); // If the property is time-varying, use valueAtTime, else use the static value var animatorValue = animatorProperty.isTimeVarying ? animatorProperty.valueAtTime() : animatorProperty.value; // Update box size based on text width and height with animator effects boxWidth += animatorValue[0]; boxHeight += animatorValue[1]; } catch (e) { // If there's an error (e.g., no animator at the specified index), use default size } // Return the size array [boxWidth, boxHeight];
2eaa47ee503086c052f136540a1a67d2
{ "intermediate": 0.4124949872493744, "beginner": 0.38953521847724915, "expert": 0.19796974956989288 }
38,696
fais en sorte que si j'ajoute la classe "vertical" le slider devienne vertical (de bas en haut) .bar { -webkit-appearance: none; appearance: none; width: 100%; cursor: pointer; outline: none; overflow: hidden; border-radius: 16px; } .bar::-webkit-slider-runnable-track { height: 15px; background: var(--text-color-tertiary); border-radius: 16px; } .bar::-moz-range-track { height: 15px; background: var(--text-color-tertiary); border-radius: 16px; } .bar::-webkit-slider-thumb { -webkit-appearance: none; appearance: none; height: 15px; width: 15px; background-color: #fff; border-radius: 50%; border: 2px solid var(--text-color); box-shadow: -407px 0 0 400px var(--text-color); } .bar::-moz-range-thumb { height: 15px; width: 15px; background-color: #fff; border-radius: 50%; border: 1px solid var(--text-color); box-shadow: -407px 0 0 400px var(--text-color); }
8fcaa734332726b4f1c409583b4569f9
{ "intermediate": 0.3183658719062805, "beginner": 0.3669155240058899, "expert": 0.3147186040878296 }
38,697
At the start of the method, can I use any Java API functions to check if an int passed into it is less than 0 and if it isn't throw an error
6ad32fd9f078bfcbbc689b0fdfe0f7cb
{ "intermediate": 0.7337176203727722, "beginner": 0.17109835147857666, "expert": 0.09518403559923172 }
38,698
def create_radio_buttons(self, master): style = ttk.Style() style.theme_use('default') style.configure('Custom.TRadiobutton', background="black", foreground="white", font=("Consolas", 12), borderwidth=0, relief="flat") self.grid_variable = tk.StringVar(value="0") self.radio_buttons_frame = tk.Frame(master, bg=self.gridbg) self.radio_buttons_frame.grid(row=0, column=0, columnspan=4) radio_button_values = { "No Grid": "0x0", "3 x 3": "3x3", "4 x 4": "4x4" } row_number = 0 for text, value in radio_button_values.items(): rb = ttk.Radiobutton( self.radio_buttons_frame, text=text, variable=self.grid_variable, value=value, command=self.update_spinboxes_from_radio, ) rb.grid(row=row_number, column=0, sticky='w', padx=5, pady=2) row_number += 1 for some reason the radiobutton backround is not set correctly
a87a30d94a6ba0893c77e8a09c61bfc1
{ "intermediate": 0.43688029050827026, "beginner": 0.3275410532951355, "expert": 0.23557868599891663 }
38,699
en fait je reprends une page : <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <link type="text/css" rel="stylesheet" href="style.css"> <title>Document</title> </head> <body id="Accueil"> <div class="left"> <header> <img class="logo" src="./assets/images/logo.svg" alt="logo"/> <nav> <ul> <li> <a href="" id="goToAccueil"> <svg width="17" height="19" viewBox="0 0 17 19" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M15.3978 5.78855C15.7212 5.97943 15.9196 6.32699 15.9196 6.70251V16.3985C15.9196 16.9847 15.4445 17.4598 14.8583 17.4598H12.7357C12.1496 17.4598 11.6744 16.9847 11.6744 16.3985V12.1532C11.6744 10.3948 10.2489 8.96928 8.49047 8.96928C6.73204 8.96928 5.30655 10.3948 5.30655 12.1532V16.3985C5.30655 16.9847 4.83138 17.4598 4.24524 17.4598H2.12262C1.53647 17.4598 1.06131 16.9847 1.06131 16.3985V6.70251C1.06131 6.32699 1.25975 5.97943 1.58313 5.78855L7.95098 2.02974L7.41149 1.11578L7.95098 2.02974C8.28381 1.83328 8.69713 1.83328 9.02996 2.02974L15.3978 5.78855Z" fill="currentColor" stroke="currentColor" stroke-width="2.12262" stroke-linecap="round" stroke-linejoin="round"/> </svg> Accueil </a> </li> <li> <a href="" id="goToRecherche"> <svg width="20" height="20" viewBox="0 0 20 20" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M12.2669 12.2669L19 19M7.6 14.2C11.2451 14.2 14.2 11.2451 14.2 7.6C14.2 3.95492 11.2451 1 7.6 1C3.95492 1 1 3.95492 1 7.6C1 11.2451 3.95492 14.2 7.6 14.2Z" stroke="currentColor" stroke-width="1.71429" stroke-linecap="round" stroke-linejoin="round"/> </svg> Rechercher </a> </li> <li> <a href="" id="goToPlaylists"> <svg width="16" height="16" viewBox="0 0 16 16" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M1 3C1 1.89543 1.89543 1 3 1H4C5.10457 1 6 1.89543 6 3V4C6 5.10457 5.10457 6 4 6H3C1.89543 6 1 5.10457 1 4V3Z" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> <path d="M10 3C10 1.89543 10.8954 1 12 1H13C14.1046 1 15 1.89543 15 3V4C15 5.10457 14.1046 6 13 6H12C10.8954 6 10 5.10457 10 4V3Z" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> <path d="M1 12C1 10.8954 1.89543 10 3 10H4C5.10457 10 6 10.8954 6 12V13C6 14.1046 5.10457 15 4 15H3C1.89543 15 1 14.1046 1 13V12Z" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> <path d="M10 12C10 10.8954 10.8954 10 12 10H13C14.1046 10 15 10.8954 15 12V13C15 14.1046 14.1046 15 13 15H12C10.8954 15 10 14.1046 10 13V12Z" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Mes playlists </a> </li> </ul> <div class="active-square" id="activeSquare"></div> </nav> </header> <div class="container-tabs"> <main id="SectionAccueil" class="tab"> <section class="content-block"> <header> <h2>Écoutés récemment <img src="/assets/icons/star_1.svg"/></h2> <a href="">Voir tout</a> </header> <section class="content"> <div class="song-card"> <div class="background" aria-hidden></div> <div class="container-image"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> <img src="/assets/icons/play.svg" alt="play" class="play"/> </div> <div class="bottom-content"> <div class="texts"> <h4>Remontada</h4> <h5>So la lune</h5> </div> <img class="heart" src="/assets/icons/heart.svg"/> </div> </div> <div class="song-card"> <div class="background" aria-hidden></div> <div class="container-image"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> <img src="/assets/icons/play.svg" alt="play" class="play"/> </div> <div class="bottom-content"> <div class="texts"> <h4>Remontada</h4> <h5>So la lune</h5> </div> <img class="heart" src="/assets/icons/heart.svg"/> </div> </div> <div class="song-card"> <div class="background" aria-hidden></div> <div class="container-image"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> <img src="/assets/icons/play.svg" alt="play" class="play"/> </div> <div class="bottom-content"> <div class="texts"> <h4>Remontada</h4> <h5>So la lune</h5> </div> <img class="heart" src="/assets/icons/heart.svg"/> </div> </div> <div class="song-card"> <div class="background" aria-hidden></div> <div class="container-image"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> <img src="/assets/icons/play.svg" alt="play" class="play"/> </div> <div class="bottom-content"> <div class="texts"> <h4>Remontada</h4> <h5>So la lune</h5> </div> <img class="heart" src="/assets/icons/heart.svg"/> </div> </div> <div class="song-card"> <div class="background" aria-hidden></div> <div class="container-image"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> <img src="/assets/icons/play.svg" alt="play" class="play"/> </div> <div class="bottom-content"> <div class="texts"> <h4>Remontada</h4> <h5>So la lune</h5> </div> <img class="heart" src="/assets/icons/heart.svg"/> </div> </div> <div class="song-card"> <div class="background" aria-hidden></div> <div class="container-image"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> <img src="/assets/icons/play.svg" alt="play" class="play"/> </div> <div class="bottom-content"> <div class="texts"> <h4>Remontada</h4> <h5>So la lune</h5> </div> <img class="heart" src="/assets/icons/heart.svg"/> </div> </div> <div class="song-card"> <div class="background" aria-hidden></div> <div class="container-image"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> <img src="/assets/icons/play.svg" alt="play" class="play"/> </div> <div class="bottom-content"> <div class="texts"> <h4>Remontada</h4> <h5>So la lune</h5> </div> <img class="heart" src="/assets/icons/heart.svg"/> </div> </div> <div class="song-card"> <div class="background" aria-hidden></div> <div class="container-image"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> <img src="/assets/icons/play.svg" alt="play" class="play"/> </div> <div class="bottom-content"> <div class="texts"> <h4>Remontada</h4> <h5>So la lune</h5> </div> <img class="heart" src="/assets/icons/heart.svg"/> </div> </div> <div class="song-card"> <div class="background" aria-hidden></div> <div class="container-image"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> <img src="/assets/icons/play.svg" alt="play" class="play"/> </div> <div class="bottom-content"> <div class="texts"> <h4>Remontada</h4> <h5>So la lune</h5> </div> <img class="heart" src="/assets/icons/heart.svg"/> </div> </div> <div class="song-card"> <div class="background" aria-hidden></div> <div class="container-image"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> <img src="/assets/icons/play.svg" alt="play" class="play"/> </div> <div class="bottom-content"> <div class="texts"> <h4>Remontada</h4> <h5>So la lune</h5> </div> <img class="heart" src="/assets/icons/heart.svg"/> </div> </div> </section> </section> <section class="content-block"> <header> <h2>Sorties récentes <img src="/assets/icons/star_2.svg"/></h2> <a href="">Voir tout</a> </header> <div class="content"> <div class="song-card"> <div class="background" aria-hidden></div> <div class="container-image"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> <img src="/assets/icons/play.svg" alt="play" class="play"/> </div> <div class="bottom-content"> <div class="texts"> <h4>Remontada</h4> <h5>So la lune</h5> </div> <img class="heart" src="/assets/icons/heart.svg"/> </div> </div> <div class="song-card"> <div class="background" aria-hidden></div> <div class="container-image"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> <img src="/assets/icons/play.svg" alt="play" class="play"/> </div> <div class="bottom-content"> <div class="texts"> <h4>Remontada</h4> <h5>So la lune</h5> </div> <img class="heart" src="/assets/icons/heart.svg"/> </div> </div> <div class="song-card"> <div class="background" aria-hidden></div> <div class="container-image"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> <img src="/assets/icons/play.svg" alt="play" class="play"/> </div> <div class="bottom-content"> <div class="texts"> <h4>Remontada</h4> <h5>So la lune</h5> </div> <img class="heart" src="/assets/icons/heart.svg"/> </div> </div> <div class="song-card"> <div class="background" aria-hidden></div> <div class="container-image"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> <img src="/assets/icons/play.svg" alt="play" class="play"/> </div> <div class="bottom-content"> <div class="texts"> <h4>Remontada</h4> <h5>So la lune</h5> </div> <img class="heart" src="/assets/icons/heart.svg"/> </div> </div> <div class="song-card"> <div class="background" aria-hidden></div> <div class="container-image"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> <img src="/assets/icons/play.svg" alt="play" class="play"/> </div> <div class="bottom-content"> <div class="texts"> <h4>Remontada</h4> <h5>So la lune</h5> </div> <img class="heart" src="/assets/icons/heart.svg"/> </div> </div> <div class="song-card"> <div class="background" aria-hidden></div> <div class="container-image"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> <img src="/assets/icons/play.svg" alt="play" class="play"/> </div> <div class="bottom-content"> <div class="texts"> <h4>Remontada</h4> <h5>So la lune</h5> </div> <img class="heart" src="/assets/icons/heart.svg"/> </div> </div> <div class="song-card"> <div class="background" aria-hidden></div> <div class="container-image"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> <img src="/assets/icons/play.svg" alt="play" class="play"/> </div> <div class="bottom-content"> <div class="texts"> <h4>Remontada</h4> <h5>So la lune</h5> </div> <img class="heart" src="/assets/icons/heart.svg"/> </div> </div> </div> </section> </main> <main id="SectionRecherche" class="tab"> <section id="PageArtiste"> <button class="back-btn" type="button" id="goBackToRecherche"> <img src="./assets/icons/back-arrow.svg" alt="back-arrow"> </button> <div class="infos-artiste"> <div class="card-artiste"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h2>So la lune</h2> <h4>7 800 000 auditeurs par mois</h4> </div> </div> <img class="play-btn" src="/assets/icons/play.svg" alt="play"> </div> <div class="buttons"> <!-- bouton x titres likés et partager --> <button class="btn like"> <svg width="37" height="33" viewBox="0 0 37 33" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M18.4999 31.1667C18.4999 31.1667 6.20162 23.1767 2.83328 15.5C-1.67089 5.23832 12.6249 -4.08335 18.4999 6.92249C24.3749 -4.08335 38.6708 5.23832 34.1666 15.5C30.7983 23.1571 18.4999 31.1667 18.4999 31.1667Z" stroke="currentColor" stroke-width="2.84848" stroke-linecap="round" stroke-linejoin="round"/> </svg> 5 titres likés </button> <button class="btn share"> <svg width="19" height="18" viewBox="0 0 19 18" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M12.7441 13.4211C12.5876 13.7477 12.5 14.1136 12.5 14.5C12.5 15.8807 13.6193 17 15 17C16.3807 17 17.5 15.8807 17.5 14.5C17.5 13.1193 16.3807 12 15 12C14.0057 12 13.1469 12.5805 12.7441 13.4211ZM12.7441 13.4211L5.75586 10.0789M12.7441 4.57889C13.1469 5.41949 14.0057 6 15 6C16.3807 6 17.5 4.88071 17.5 3.5C17.5 2.11929 16.3807 1 15 1C13.6193 1 12.5 2.11929 12.5 3.5C12.5 3.88637 12.5876 4.25226 12.7441 4.57889ZM12.7441 4.57889L5.75586 7.92111M5.75586 7.92111C5.35311 7.08051 4.49435 6.5 3.5 6.5C2.11929 6.5 1 7.61929 1 9C1 10.3807 2.11929 11.5 3.5 11.5C4.49435 11.5 5.35311 10.9195 5.75586 10.0789M5.75586 7.92111C5.91235 8.24774 6 8.61363 6 9C6 9.38637 5.91235 9.75226 5.75586 10.0789" stroke="#9747FF" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Partager </button> </div> </div> <div class="main-content"> <!-- onglets avec le même nav qu'avant sauf que cette fois ci on a que le choix entre Top titres et Albums--> <nav> <ul> <li> <a href="" id="goToTopTitres"> <svg width="19" height="17" viewBox="0 0 19 17" fill="none" xmlns="http://www.w3.org/2000/svg"> <path fill-rule="evenodd" clip-rule="evenodd" d="M9 14.5H18H9Z" fill="currentColor"/> <path fill-rule="evenodd" clip-rule="evenodd" d="M9 2.5H18H9Z" fill="currentColor"/> <path fill-rule="evenodd" clip-rule="evenodd" d="M9 8.5H18H9Z" fill="currentColor"/> <path d="M9 14.5H18M1 10.5L1.94036 10.0298C2.57317 9.71342 3.33744 9.83744 3.83772 10.3377V10.3377C4.47963 10.9796 4.47963 12.0204 3.83772 12.6623L1 15.5H5M1.5 1H3V6M3 6H5M3 6H1M9 2.5H18M9 8.5H18" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Top titres </a> </li> <li> <a href="" id="goToAlbums"> <svg width="18" height="17" viewBox="0 0 18 17" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M6 13.5C6 14.8807 4.88071 16 3.5 16C2.11929 16 1 14.8807 1 13.5C1 12.1193 2.11929 11 3.5 11C4.88071 11 6 12.1193 6 13.5ZM6 13.5V2.91321C6 2.39601 6.39439 1.96415 6.90946 1.91732L15.9095 1.09914C16.4951 1.0459 17 1.507 17 2.09503V12.5M17 12.5C17 13.8807 15.8807 15 14.5 15C13.1193 15 12 13.8807 12 12.5C12 11.1193 13.1193 10 14.5 10C15.8807 10 17 11.1193 17 12.5Z" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Albums </a> </li> </ul> <div class="active-square" id="activeSquareArtiste"></div> </nav> <div class="content-block"> <section id="TopTitres"> <div class="artiste-wrapper"> <div class="artiste-row glass with-dots"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <img class="menu-dots" src="/assets/icons/menu-dots.svg" alt="open menu"/> </div> </div> <div class="menu"> <ul> <li> <button> <svg width="23" height="27" viewBox="0 0 23 27" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M18.2405 24.7722C19.8065 24.7722 21.1404 23.4819 20.7854 21.9567C19.9025 18.1628 16.9499 16.2658 11.1519 16.2658C5.35387 16.2658 2.40129 18.1628 1.51836 21.9567C1.16341 23.4819 2.49732 24.7722 4.06329 24.7722H18.2405Z" stroke="currentColor" stroke-width="2.83544" stroke-linecap="round" stroke-linejoin="round"/> <path fill-rule="evenodd" clip-rule="evenodd" d="M11.1519 12.0127C13.9873 12.0127 15.4051 10.5949 15.4051 7.05063C15.4051 3.50633 13.9873 2.08861 11.1519 2.08861C8.31645 2.08861 6.89873 3.50633 6.89873 7.05063C6.89873 10.5949 8.31645 12.0127 11.1519 12.0127Z" stroke="currentColor" stroke-width="2.83544" stroke-linecap="round" stroke-linejoin="round"/> </svg> Consulter l'artiste </button> </li> <li> <button> <svg width="18" height="17" viewBox="0 0 18 17" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M6 13.5C6 14.8807 4.88071 16 3.5 16C2.11929 16 1 14.8807 1 13.5C1 12.1193 2.11929 11 3.5 11C4.88071 11 6 12.1193 6 13.5ZM6 13.5V2.91321C6 2.39601 6.39439 1.96415 6.90946 1.91732L15.9095 1.09914C16.4951 1.0459 17 1.507 17 2.09503V12.5M17 12.5C17 13.8807 15.8807 15 14.5 15C13.1193 15 12 13.8807 12 12.5C12 11.1193 13.1193 10 14.5 10C15.8807 10 17 11.1193 17 12.5Z" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Consulter l'album </button> </li> <li> <button> <svg width="18" height="12" viewBox="0 0 18 12" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M1 1H17M3.99994 6H13.9999M7.99994 11H9.99994" stroke="#FEFCE1" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Consulter la file d'attente </button> </li> <li> <button> <svg width="20" height="15" viewBox="0 0 20 15" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M1 4H9M13 4H19M16 7V1M4 9H13M8 14H10" stroke="#FEFCE1" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Ajouter à la file d'attente </button> </li> <li> <button> <svg width="19" height="19" viewBox="0 0 19 19" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M14.271 12.1915V16.1915M16.271 14.1915H12.271M13.271 7.19153H15.271C16.3756 7.19153 17.271 6.2961 17.271 5.19153V3.19153C17.271 2.08696 16.3756 1.19153 15.271 1.19153H13.271C12.1664 1.19153 11.271 2.08696 11.271 3.19153V5.19153C11.271 6.2961 12.1664 7.19153 13.271 7.19153ZM3.271 17.1915H5.271C6.37557 17.1915 7.271 16.2961 7.271 15.1915V13.1915C7.271 12.087 6.37557 11.1915 5.271 11.1915H3.271C2.16643 11.1915 1.271 12.087 1.271 13.1915V15.1915C1.271 16.2961 2.16643 17.1915 3.271 17.1915ZM3.271 7.19153H5.271C6.37557 7.19153 7.271 6.2961 7.271 5.19153V3.19153C7.271 2.08696 6.37557 1.19153 5.271 1.19153H3.271C2.16643 1.19153 1.271 2.08696 1.271 3.19153V5.19153C1.271 6.2961 2.16643 7.19153 3.271 7.19153Z" stroke="#FEFCE1" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Ajouter à la playlist </button> </li> <li> <button> <svg width="37" height="33" viewBox="0 0 37 33" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M18.4999 31.1667C18.4999 31.1667 6.20162 23.1767 2.83328 15.5C-1.67089 5.23832 12.6249 -4.08335 18.4999 6.92249C24.3749 -4.08335 38.6708 5.23832 34.1666 15.5C30.7983 23.1571 18.4999 31.1667 18.4999 31.1667Z" stroke="#FEFCE1" stroke-width="2.84848" stroke-linecap="round" stroke-linejoin="round"/> </svg> Liker ce titre </button> </li> </ul> </div> </div> <div class="artiste-wrapper"> <div class="artiste-row glass with-dots"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <img class="menu-dots" src="/assets/icons/menu-dots.svg" alt="open menu"/> </div> </div> <div class="menu"> <ul> <li> <button> <svg width="23" height="27" viewBox="0 0 23 27" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M18.2405 24.7722C19.8065 24.7722 21.1404 23.4819 20.7854 21.9567C19.9025 18.1628 16.9499 16.2658 11.1519 16.2658C5.35387 16.2658 2.40129 18.1628 1.51836 21.9567C1.16341 23.4819 2.49732 24.7722 4.06329 24.7722H18.2405Z" stroke="currentColor" stroke-width="2.83544" stroke-linecap="round" stroke-linejoin="round"/> <path fill-rule="evenodd" clip-rule="evenodd" d="M11.1519 12.0127C13.9873 12.0127 15.4051 10.5949 15.4051 7.05063C15.4051 3.50633 13.9873 2.08861 11.1519 2.08861C8.31645 2.08861 6.89873 3.50633 6.89873 7.05063C6.89873 10.5949 8.31645 12.0127 11.1519 12.0127Z" stroke="currentColor" stroke-width="2.83544" stroke-linecap="round" stroke-linejoin="round"/> </svg> Consulter l'artiste </button> </li> <li> <button> <svg width="18" height="17" viewBox="0 0 18 17" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M6 13.5C6 14.8807 4.88071 16 3.5 16C2.11929 16 1 14.8807 1 13.5C1 12.1193 2.11929 11 3.5 11C4.88071 11 6 12.1193 6 13.5ZM6 13.5V2.91321C6 2.39601 6.39439 1.96415 6.90946 1.91732L15.9095 1.09914C16.4951 1.0459 17 1.507 17 2.09503V12.5M17 12.5C17 13.8807 15.8807 15 14.5 15C13.1193 15 12 13.8807 12 12.5C12 11.1193 13.1193 10 14.5 10C15.8807 10 17 11.1193 17 12.5Z" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Consulter l'album </button> </li> <li> <button> <svg width="18" height="12" viewBox="0 0 18 12" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M1 1H17M3.99994 6H13.9999M7.99994 11H9.99994" stroke="#FEFCE1" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Consulter la file d'attente </button> </li> <li> <button> <svg width="20" height="15" viewBox="0 0 20 15" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M1 4H9M13 4H19M16 7V1M4 9H13M8 14H10" stroke="#FEFCE1" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Ajouter à la file d'attente </button> </li> <li> <button> <svg width="19" height="19" viewBox="0 0 19 19" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M14.271 12.1915V16.1915M16.271 14.1915H12.271M13.271 7.19153H15.271C16.3756 7.19153 17.271 6.2961 17.271 5.19153V3.19153C17.271 2.08696 16.3756 1.19153 15.271 1.19153H13.271C12.1664 1.19153 11.271 2.08696 11.271 3.19153V5.19153C11.271 6.2961 12.1664 7.19153 13.271 7.19153ZM3.271 17.1915H5.271C6.37557 17.1915 7.271 16.2961 7.271 15.1915V13.1915C7.271 12.087 6.37557 11.1915 5.271 11.1915H3.271C2.16643 11.1915 1.271 12.087 1.271 13.1915V15.1915C1.271 16.2961 2.16643 17.1915 3.271 17.1915ZM3.271 7.19153H5.271C6.37557 7.19153 7.271 6.2961 7.271 5.19153V3.19153C7.271 2.08696 6.37557 1.19153 5.271 1.19153H3.271C2.16643 1.19153 1.271 2.08696 1.271 3.19153V5.19153C1.271 6.2961 2.16643 7.19153 3.271 7.19153Z" stroke="#FEFCE1" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Ajouter à la playlist </button> </li> <li> <button> <svg width="37" height="33" viewBox="0 0 37 33" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M18.4999 31.1667C18.4999 31.1667 6.20162 23.1767 2.83328 15.5C-1.67089 5.23832 12.6249 -4.08335 18.4999 6.92249C24.3749 -4.08335 38.6708 5.23832 34.1666 15.5C30.7983 23.1571 18.4999 31.1667 18.4999 31.1667Z" stroke="#FEFCE1" stroke-width="2.84848" stroke-linecap="round" stroke-linejoin="round"/> </svg> Liker ce titre </button> </li> </ul> </div> </div> <div class="artiste-wrapper"> <div class="artiste-row glass with-dots"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <img class="menu-dots" src="/assets/icons/menu-dots.svg" alt="open menu"/> </div> </div> <div class="menu"> <ul> <li> <button> <svg width="23" height="27" viewBox="0 0 23 27" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M18.2405 24.7722C19.8065 24.7722 21.1404 23.4819 20.7854 21.9567C19.9025 18.1628 16.9499 16.2658 11.1519 16.2658C5.35387 16.2658 2.40129 18.1628 1.51836 21.9567C1.16341 23.4819 2.49732 24.7722 4.06329 24.7722H18.2405Z" stroke="currentColor" stroke-width="2.83544" stroke-linecap="round" stroke-linejoin="round"/> <path fill-rule="evenodd" clip-rule="evenodd" d="M11.1519 12.0127C13.9873 12.0127 15.4051 10.5949 15.4051 7.05063C15.4051 3.50633 13.9873 2.08861 11.1519 2.08861C8.31645 2.08861 6.89873 3.50633 6.89873 7.05063C6.89873 10.5949 8.31645 12.0127 11.1519 12.0127Z" stroke="currentColor" stroke-width="2.83544" stroke-linecap="round" stroke-linejoin="round"/> </svg> Consulter l'artiste </button> </li> <li> <button> <svg width="18" height="17" viewBox="0 0 18 17" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M6 13.5C6 14.8807 4.88071 16 3.5 16C2.11929 16 1 14.8807 1 13.5C1 12.1193 2.11929 11 3.5 11C4.88071 11 6 12.1193 6 13.5ZM6 13.5V2.91321C6 2.39601 6.39439 1.96415 6.90946 1.91732L15.9095 1.09914C16.4951 1.0459 17 1.507 17 2.09503V12.5M17 12.5C17 13.8807 15.8807 15 14.5 15C13.1193 15 12 13.8807 12 12.5C12 11.1193 13.1193 10 14.5 10C15.8807 10 17 11.1193 17 12.5Z" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Consulter l'album </button> </li> <li> <button> <svg width="18" height="12" viewBox="0 0 18 12" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M1 1H17M3.99994 6H13.9999M7.99994 11H9.99994" stroke="#FEFCE1" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Consulter la file d'attente </button> </li> <li> <button> <svg width="20" height="15" viewBox="0 0 20 15" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M1 4H9M13 4H19M16 7V1M4 9H13M8 14H10" stroke="#FEFCE1" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Ajouter à la file d'attente </button> </li> <li> <button> <svg width="19" height="19" viewBox="0 0 19 19" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M14.271 12.1915V16.1915M16.271 14.1915H12.271M13.271 7.19153H15.271C16.3756 7.19153 17.271 6.2961 17.271 5.19153V3.19153C17.271 2.08696 16.3756 1.19153 15.271 1.19153H13.271C12.1664 1.19153 11.271 2.08696 11.271 3.19153V5.19153C11.271 6.2961 12.1664 7.19153 13.271 7.19153ZM3.271 17.1915H5.271C6.37557 17.1915 7.271 16.2961 7.271 15.1915V13.1915C7.271 12.087 6.37557 11.1915 5.271 11.1915H3.271C2.16643 11.1915 1.271 12.087 1.271 13.1915V15.1915C1.271 16.2961 2.16643 17.1915 3.271 17.1915ZM3.271 7.19153H5.271C6.37557 7.19153 7.271 6.2961 7.271 5.19153V3.19153C7.271 2.08696 6.37557 1.19153 5.271 1.19153H3.271C2.16643 1.19153 1.271 2.08696 1.271 3.19153V5.19153C1.271 6.2961 2.16643 7.19153 3.271 7.19153Z" stroke="#FEFCE1" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Ajouter à la playlist </button> </li> <li> <button> <svg width="37" height="33" viewBox="0 0 37 33" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M18.4999 31.1667C18.4999 31.1667 6.20162 23.1767 2.83328 15.5C-1.67089 5.23832 12.6249 -4.08335 18.4999 6.92249C24.3749 -4.08335 38.6708 5.23832 34.1666 15.5C30.7983 23.1571 18.4999 31.1667 18.4999 31.1667Z" stroke="#FEFCE1" stroke-width="2.84848" stroke-linecap="round" stroke-linejoin="round"/> </svg> Liker ce titre </button> </li> </ul> </div> </div> <div class="artiste-wrapper"> <div class="artiste-row glass with-dots"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <img class="menu-dots" src="/assets/icons/menu-dots.svg" alt="open menu"/> </div> </div> <div class="menu"> <ul> <li> <button> <svg width="23" height="27" viewBox="0 0 23 27" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M18.2405 24.7722C19.8065 24.7722 21.1404 23.4819 20.7854 21.9567C19.9025 18.1628 16.9499 16.2658 11.1519 16.2658C5.35387 16.2658 2.40129 18.1628 1.51836 21.9567C1.16341 23.4819 2.49732 24.7722 4.06329 24.7722H18.2405Z" stroke="currentColor" stroke-width="2.83544" stroke-linecap="round" stroke-linejoin="round"/> <path fill-rule="evenodd" clip-rule="evenodd" d="M11.1519 12.0127C13.9873 12.0127 15.4051 10.5949 15.4051 7.05063C15.4051 3.50633 13.9873 2.08861 11.1519 2.08861C8.31645 2.08861 6.89873 3.50633 6.89873 7.05063C6.89873 10.5949 8.31645 12.0127 11.1519 12.0127Z" stroke="currentColor" stroke-width="2.83544" stroke-linecap="round" stroke-linejoin="round"/> </svg> Consulter l'artiste </button> </li> <li> <button> <svg width="18" height="17" viewBox="0 0 18 17" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M6 13.5C6 14.8807 4.88071 16 3.5 16C2.11929 16 1 14.8807 1 13.5C1 12.1193 2.11929 11 3.5 11C4.88071 11 6 12.1193 6 13.5ZM6 13.5V2.91321C6 2.39601 6.39439 1.96415 6.90946 1.91732L15.9095 1.09914C16.4951 1.0459 17 1.507 17 2.09503V12.5M17 12.5C17 13.8807 15.8807 15 14.5 15C13.1193 15 12 13.8807 12 12.5C12 11.1193 13.1193 10 14.5 10C15.8807 10 17 11.1193 17 12.5Z" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Consulter l'album </button> </li> <li> <button> <svg width="18" height="12" viewBox="0 0 18 12" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M1 1H17M3.99994 6H13.9999M7.99994 11H9.99994" stroke="#FEFCE1" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Consulter la file d'attente </button> </li> <li> <button> <svg width="20" height="15" viewBox="0 0 20 15" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M1 4H9M13 4H19M16 7V1M4 9H13M8 14H10" stroke="#FEFCE1" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Ajouter à la file d'attente </button> </li> <li> <button> <svg width="19" height="19" viewBox="0 0 19 19" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M14.271 12.1915V16.1915M16.271 14.1915H12.271M13.271 7.19153H15.271C16.3756 7.19153 17.271 6.2961 17.271 5.19153V3.19153C17.271 2.08696 16.3756 1.19153 15.271 1.19153H13.271C12.1664 1.19153 11.271 2.08696 11.271 3.19153V5.19153C11.271 6.2961 12.1664 7.19153 13.271 7.19153ZM3.271 17.1915H5.271C6.37557 17.1915 7.271 16.2961 7.271 15.1915V13.1915C7.271 12.087 6.37557 11.1915 5.271 11.1915H3.271C2.16643 11.1915 1.271 12.087 1.271 13.1915V15.1915C1.271 16.2961 2.16643 17.1915 3.271 17.1915ZM3.271 7.19153H5.271C6.37557 7.19153 7.271 6.2961 7.271 5.19153V3.19153C7.271 2.08696 6.37557 1.19153 5.271 1.19153H3.271C2.16643 1.19153 1.271 2.08696 1.271 3.19153V5.19153C1.271 6.2961 2.16643 7.19153 3.271 7.19153Z" stroke="#FEFCE1" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Ajouter à la playlist </button> </li> <li> <button> <svg width="37" height="33" viewBox="0 0 37 33" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M18.4999 31.1667C18.4999 31.1667 6.20162 23.1767 2.83328 15.5C-1.67089 5.23832 12.6249 -4.08335 18.4999 6.92249C24.3749 -4.08335 38.6708 5.23832 34.1666 15.5C30.7983 23.1571 18.4999 31.1667 18.4999 31.1667Z" stroke="#FEFCE1" stroke-width="2.84848" stroke-linecap="round" stroke-linejoin="round"/> </svg> Liker ce titre </button> </li> </ul> </div> </div> <div class="artiste-wrapper"> <div class="artiste-row glass with-dots"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <img class="menu-dots" src="/assets/icons/menu-dots.svg" alt="open menu"/> </div> </div> <div class="menu"> <ul> <li> <button> <svg width="23" height="27" viewBox="0 0 23 27" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M18.2405 24.7722C19.8065 24.7722 21.1404 23.4819 20.7854 21.9567C19.9025 18.1628 16.9499 16.2658 11.1519 16.2658C5.35387 16.2658 2.40129 18.1628 1.51836 21.9567C1.16341 23.4819 2.49732 24.7722 4.06329 24.7722H18.2405Z" stroke="currentColor" stroke-width="2.83544" stroke-linecap="round" stroke-linejoin="round"/> <path fill-rule="evenodd" clip-rule="evenodd" d="M11.1519 12.0127C13.9873 12.0127 15.4051 10.5949 15.4051 7.05063C15.4051 3.50633 13.9873 2.08861 11.1519 2.08861C8.31645 2.08861 6.89873 3.50633 6.89873 7.05063C6.89873 10.5949 8.31645 12.0127 11.1519 12.0127Z" stroke="currentColor" stroke-width="2.83544" stroke-linecap="round" stroke-linejoin="round"/> </svg> Consulter l'artiste </button> </li> <li> <button> <svg width="18" height="17" viewBox="0 0 18 17" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M6 13.5C6 14.8807 4.88071 16 3.5 16C2.11929 16 1 14.8807 1 13.5C1 12.1193 2.11929 11 3.5 11C4.88071 11 6 12.1193 6 13.5ZM6 13.5V2.91321C6 2.39601 6.39439 1.96415 6.90946 1.91732L15.9095 1.09914C16.4951 1.0459 17 1.507 17 2.09503V12.5M17 12.5C17 13.8807 15.8807 15 14.5 15C13.1193 15 12 13.8807 12 12.5C12 11.1193 13.1193 10 14.5 10C15.8807 10 17 11.1193 17 12.5Z" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Consulter l'album </button> </li> <li> <button> <svg width="18" height="12" viewBox="0 0 18 12" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M1 1H17M3.99994 6H13.9999M7.99994 11H9.99994" stroke="#FEFCE1" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Consulter la file d'attente </button> </li> <li> <button> <svg width="20" height="15" viewBox="0 0 20 15" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M1 4H9M13 4H19M16 7V1M4 9H13M8 14H10" stroke="#FEFCE1" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Ajouter à la file d'attente </button> </li> <li> <button> <svg width="19" height="19" viewBox="0 0 19 19" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M14.271 12.1915V16.1915M16.271 14.1915H12.271M13.271 7.19153H15.271C16.3756 7.19153 17.271 6.2961 17.271 5.19153V3.19153C17.271 2.08696 16.3756 1.19153 15.271 1.19153H13.271C12.1664 1.19153 11.271 2.08696 11.271 3.19153V5.19153C11.271 6.2961 12.1664 7.19153 13.271 7.19153ZM3.271 17.1915H5.271C6.37557 17.1915 7.271 16.2961 7.271 15.1915V13.1915C7.271 12.087 6.37557 11.1915 5.271 11.1915H3.271C2.16643 11.1915 1.271 12.087 1.271 13.1915V15.1915C1.271 16.2961 2.16643 17.1915 3.271 17.1915ZM3.271 7.19153H5.271C6.37557 7.19153 7.271 6.2961 7.271 5.19153V3.19153C7.271 2.08696 6.37557 1.19153 5.271 1.19153H3.271C2.16643 1.19153 1.271 2.08696 1.271 3.19153V5.19153C1.271 6.2961 2.16643 7.19153 3.271 7.19153Z" stroke="#FEFCE1" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Ajouter à la playlist </button> </li> <li> <button> <svg width="37" height="33" viewBox="0 0 37 33" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M18.4999 31.1667C18.4999 31.1667 6.20162 23.1767 2.83328 15.5C-1.67089 5.23832 12.6249 -4.08335 18.4999 6.92249C24.3749 -4.08335 38.6708 5.23832 34.1666 15.5C30.7983 23.1571 18.4999 31.1667 18.4999 31.1667Z" stroke="#FEFCE1" stroke-width="2.84848" stroke-linecap="round" stroke-linejoin="round"/> </svg> Liker ce titre </button> </li> </ul> </div> </div> </section> <section id="Albums"> <div class="song-card"> <div class="background" aria-hidden></div> <div class="container-image"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> <img src="/assets/icons/play.svg" alt="play" class="play"/> </div> <div class="bottom-content"> <div class="texts"> <h4>Remontada</h4> <h5>So la lune</h5> </div> <img class="heart" src="/assets/icons/heart.svg"/> </div> </div> <div class="song-card"> <div class="background" aria-hidden></div> <div class="container-image"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> <img src="/assets/icons/play.svg" alt="play" class="play"/> </div> <div class="bottom-content"> <div class="texts"> <h4>Remontada</h4> <h5>So la lune</h5> </div> <img class="heart" src="/assets/icons/heart.svg"/> </div> </div> <div class="song-card"> <div class="background" aria-hidden></div> <div class="container-image"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> <img src="/assets/icons/play.svg" alt="play" class="play"/> </div> <div class="bottom-content"> <div class="texts"> <h4>Remontada</h4> <h5>So la lune</h5> </div> <img class="heart" src="/assets/icons/heart.svg"/> </div> </div> <div class="song-card"> <div class="background" aria-hidden></div> <div class="container-image"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> <img src="/assets/icons/play.svg" alt="play" class="play"/> </div> <div class="bottom-content"> <div class="texts"> <h4>Remontada</h4> <h5>So la lune</h5> </div> <img class="heart" src="/assets/icons/heart.svg"/> </div> </div> <div class="song-card"> <div class="background" aria-hidden></div> <div class="container-image"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> <img src="/assets/icons/play.svg" alt="play" class="play"/> </div> <div class="bottom-content"> <div class="texts"> <h4>Remontada</h4> <h5>So la lune</h5> </div> <img class="heart" src="/assets/icons/heart.svg"/> </div> </div> <div class="song-card"> <div class="background" aria-hidden></div> <div class="container-image"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> <img src="/assets/icons/play.svg" alt="play" class="play"/> </div> <div class="bottom-content"> <div class="texts"> <h4>Remontada</h4> <h5>So la lune</h5> </div> <img class="heart" src="/assets/icons/heart.svg"/> </div> </div> <div class="song-card"> <div class="background" aria-hidden></div> <div class="container-image"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> <img src="/assets/icons/play.svg" alt="play" class="play"/> </div> <div class="bottom-content"> <div class="texts"> <h4>Remontada</h4> <h5>So la lune</h5> </div> <img class="heart" src="/assets/icons/heart.svg"/> </div> </div> <div class="song-card"> <div class="background" aria-hidden></div> <div class="container-image"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> <img src="/assets/icons/play.svg" alt="play" class="play"/> </div> <div class="bottom-content"> <div class="texts"> <h4>Remontada</h4> <h5>So la lune</h5> </div> <img class="heart" src="/assets/icons/heart.svg"/> </div> </div> </section> </div> </div> </section> <div id="recherche" class="wrapper-recherche"> <div class="text-field"> <img src="./assets/icons/search.svg" alt="user"/> <input type="text" placeholder="Ma recherche" value=""> </div> <section class="resultat"> <!-- l'idée là c'est de montrer à gauche le résultat le plus pertinent. Exemple: si on tape ga: on s'attend à avoir gazo en truc le plus pertinent puis du coup si on à un artiste à gauche: on met ses 3 titres les plus connus à droite. Si le résultat le plus pertinent à gauche c'est un titre, on l'affiche à gauche et à droite on va mettre d'autres résultats qui peuvent être intéressants en fonction de la recherche si le résultat le plus pertinent à gauche c'est un album, on l'affiche à gauche à droite on met les 3 titres de l'album les plus connus --> <!-- et en dessous on va faire un listing à l'horizontal de 5 albums/titres max qui peuvent correspondre à la recherche En dessous on va faire un listing à l'horizontal de 5 artistes max qui peuvent correspondre à la recherche --> <section id="MainResults" class="results-section"> <h2>Meilleurs résultats <img src="/assets/icons/shape_1.svg"/></h2> <div class="content"> <div id="bestResult" class="best-result glass"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="infos"> <div class="texts"> <h4>So la lune</h4> <h5>Artiste</h5> </div> <img class="expand" src="/assets/icons/expand.svg"/> </div> </div> <div class="other-results"> <div class="artiste-wrapper"> <div class="artiste-row glass with-dots"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <img class="menu-dots" src="/assets/icons/menu-dots.svg" alt="open menu"/> </div> </div> <div class="menu"> <ul> <li> <button> <svg width="23" height="27" viewBox="0 0 23 27" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M18.2405 24.7722C19.8065 24.7722 21.1404 23.4819 20.7854 21.9567C19.9025 18.1628 16.9499 16.2658 11.1519 16.2658C5.35387 16.2658 2.40129 18.1628 1.51836 21.9567C1.16341 23.4819 2.49732 24.7722 4.06329 24.7722H18.2405Z" stroke="currentColor" stroke-width="2.83544" stroke-linecap="round" stroke-linejoin="round"/> <path fill-rule="evenodd" clip-rule="evenodd" d="M11.1519 12.0127C13.9873 12.0127 15.4051 10.5949 15.4051 7.05063C15.4051 3.50633 13.9873 2.08861 11.1519 2.08861C8.31645 2.08861 6.89873 3.50633 6.89873 7.05063C6.89873 10.5949 8.31645 12.0127 11.1519 12.0127Z" stroke="currentColor" stroke-width="2.83544" stroke-linecap="round" stroke-linejoin="round"/> </svg> Consulter l'artiste </button> </li> <li> <button> <svg width="18" height="17" viewBox="0 0 18 17" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M6 13.5C6 14.8807 4.88071 16 3.5 16C2.11929 16 1 14.8807 1 13.5C1 12.1193 2.11929 11 3.5 11C4.88071 11 6 12.1193 6 13.5ZM6 13.5V2.91321C6 2.39601 6.39439 1.96415 6.90946 1.91732L15.9095 1.09914C16.4951 1.0459 17 1.507 17 2.09503V12.5M17 12.5C17 13.8807 15.8807 15 14.5 15C13.1193 15 12 13.8807 12 12.5C12 11.1193 13.1193 10 14.5 10C15.8807 10 17 11.1193 17 12.5Z" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Consulter l'album </button> </li> <li> <button> <svg width="18" height="12" viewBox="0 0 18 12" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M1 1H17M3.99994 6H13.9999M7.99994 11H9.99994" stroke="#FEFCE1" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Consulter la file d'attente </button> </li> <li> <button> <svg width="20" height="15" viewBox="0 0 20 15" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M1 4H9M13 4H19M16 7V1M4 9H13M8 14H10" stroke="#FEFCE1" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Ajouter à la file d'attente </button> </li> <li> <button> <svg width="19" height="19" viewBox="0 0 19 19" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M14.271 12.1915V16.1915M16.271 14.1915H12.271M13.271 7.19153H15.271C16.3756 7.19153 17.271 6.2961 17.271 5.19153V3.19153C17.271 2.08696 16.3756 1.19153 15.271 1.19153H13.271C12.1664 1.19153 11.271 2.08696 11.271 3.19153V5.19153C11.271 6.2961 12.1664 7.19153 13.271 7.19153ZM3.271 17.1915H5.271C6.37557 17.1915 7.271 16.2961 7.271 15.1915V13.1915C7.271 12.087 6.37557 11.1915 5.271 11.1915H3.271C2.16643 11.1915 1.271 12.087 1.271 13.1915V15.1915C1.271 16.2961 2.16643 17.1915 3.271 17.1915ZM3.271 7.19153H5.271C6.37557 7.19153 7.271 6.2961 7.271 5.19153V3.19153C7.271 2.08696 6.37557 1.19153 5.271 1.19153H3.271C2.16643 1.19153 1.271 2.08696 1.271 3.19153V5.19153C1.271 6.2961 2.16643 7.19153 3.271 7.19153Z" stroke="#FEFCE1" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Ajouter à la playlist </button> </li> <li> <button> <svg width="37" height="33" viewBox="0 0 37 33" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M18.4999 31.1667C18.4999 31.1667 6.20162 23.1767 2.83328 15.5C-1.67089 5.23832 12.6249 -4.08335 18.4999 6.92249C24.3749 -4.08335 38.6708 5.23832 34.1666 15.5C30.7983 23.1571 18.4999 31.1667 18.4999 31.1667Z" stroke="#FEFCE1" stroke-width="2.84848" stroke-linecap="round" stroke-linejoin="round"/> </svg> Liker ce titre </button> </li> </ul> </div> </div> <div class="artiste-wrapper"> <div class="artiste-row glass with-dots"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <img class="menu-dots" src="/assets/icons/menu-dots.svg" alt="open menu"/> </div> </div> <div class="menu"> <ul> <li> <button> <svg width="23" height="27" viewBox="0 0 23 27" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M18.2405 24.7722C19.8065 24.7722 21.1404 23.4819 20.7854 21.9567C19.9025 18.1628 16.9499 16.2658 11.1519 16.2658C5.35387 16.2658 2.40129 18.1628 1.51836 21.9567C1.16341 23.4819 2.49732 24.7722 4.06329 24.7722H18.2405Z" stroke="currentColor" stroke-width="2.83544" stroke-linecap="round" stroke-linejoin="round"/> <path fill-rule="evenodd" clip-rule="evenodd" d="M11.1519 12.0127C13.9873 12.0127 15.4051 10.5949 15.4051 7.05063C15.4051 3.50633 13.9873 2.08861 11.1519 2.08861C8.31645 2.08861 6.89873 3.50633 6.89873 7.05063C6.89873 10.5949 8.31645 12.0127 11.1519 12.0127Z" stroke="currentColor" stroke-width="2.83544" stroke-linecap="round" stroke-linejoin="round"/> </svg> Consulter l'artiste </button> </li> <li> <button> <svg width="18" height="17" viewBox="0 0 18 17" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M6 13.5C6 14.8807 4.88071 16 3.5 16C2.11929 16 1 14.8807 1 13.5C1 12.1193 2.11929 11 3.5 11C4.88071 11 6 12.1193 6 13.5ZM6 13.5V2.91321C6 2.39601 6.39439 1.96415 6.90946 1.91732L15.9095 1.09914C16.4951 1.0459 17 1.507 17 2.09503V12.5M17 12.5C17 13.8807 15.8807 15 14.5 15C13.1193 15 12 13.8807 12 12.5C12 11.1193 13.1193 10 14.5 10C15.8807 10 17 11.1193 17 12.5Z" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Consulter l'album </button> </li> <li> <button> <svg width="18" height="12" viewBox="0 0 18 12" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M1 1H17M3.99994 6H13.9999M7.99994 11H9.99994" stroke="#FEFCE1" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Consulter la file d'attente </button> </li> <li> <button> <svg width="20" height="15" viewBox="0 0 20 15" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M1 4H9M13 4H19M16 7V1M4 9H13M8 14H10" stroke="#FEFCE1" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Ajouter à la file d'attente </button> </li> <li> <button> <svg width="19" height="19" viewBox="0 0 19 19" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M14.271 12.1915V16.1915M16.271 14.1915H12.271M13.271 7.19153H15.271C16.3756 7.19153 17.271 6.2961 17.271 5.19153V3.19153C17.271 2.08696 16.3756 1.19153 15.271 1.19153H13.271C12.1664 1.19153 11.271 2.08696 11.271 3.19153V5.19153C11.271 6.2961 12.1664 7.19153 13.271 7.19153ZM3.271 17.1915H5.271C6.37557 17.1915 7.271 16.2961 7.271 15.1915V13.1915C7.271 12.087 6.37557 11.1915 5.271 11.1915H3.271C2.16643 11.1915 1.271 12.087 1.271 13.1915V15.1915C1.271 16.2961 2.16643 17.1915 3.271 17.1915ZM3.271 7.19153H5.271C6.37557 7.19153 7.271 6.2961 7.271 5.19153V3.19153C7.271 2.08696 6.37557 1.19153 5.271 1.19153H3.271C2.16643 1.19153 1.271 2.08696 1.271 3.19153V5.19153C1.271 6.2961 2.16643 7.19153 3.271 7.19153Z" stroke="#FEFCE1" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Ajouter à la playlist </button> </li> <li> <button> <svg width="37" height="33" viewBox="0 0 37 33" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M18.4999 31.1667C18.4999 31.1667 6.20162 23.1767 2.83328 15.5C-1.67089 5.23832 12.6249 -4.08335 18.4999 6.92249C24.3749 -4.08335 38.6708 5.23832 34.1666 15.5C30.7983 23.1571 18.4999 31.1667 18.4999 31.1667Z" stroke="#FEFCE1" stroke-width="2.84848" stroke-linecap="round" stroke-linejoin="round"/> </svg> Liker ce titre </button> </li> </ul> </div> </div> <div class="artiste-wrapper"> <div class="artiste-row glass with-dots"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <img class="menu-dots" src="/assets/icons/menu-dots.svg" alt="open menu"/> </div> </div> <div class="menu"> <ul> <li> <button> <svg width="23" height="27" viewBox="0 0 23 27" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M18.2405 24.7722C19.8065 24.7722 21.1404 23.4819 20.7854 21.9567C19.9025 18.1628 16.9499 16.2658 11.1519 16.2658C5.35387 16.2658 2.40129 18.1628 1.51836 21.9567C1.16341 23.4819 2.49732 24.7722 4.06329 24.7722H18.2405Z" stroke="currentColor" stroke-width="2.83544" stroke-linecap="round" stroke-linejoin="round"/> <path fill-rule="evenodd" clip-rule="evenodd" d="M11.1519 12.0127C13.9873 12.0127 15.4051 10.5949 15.4051 7.05063C15.4051 3.50633 13.9873 2.08861 11.1519 2.08861C8.31645 2.08861 6.89873 3.50633 6.89873 7.05063C6.89873 10.5949 8.31645 12.0127 11.1519 12.0127Z" stroke="currentColor" stroke-width="2.83544" stroke-linecap="round" stroke-linejoin="round"/> </svg> Consulter l'artiste </button> </li> <li> <button> <svg width="18" height="17" viewBox="0 0 18 17" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M6 13.5C6 14.8807 4.88071 16 3.5 16C2.11929 16 1 14.8807 1 13.5C1 12.1193 2.11929 11 3.5 11C4.88071 11 6 12.1193 6 13.5ZM6 13.5V2.91321C6 2.39601 6.39439 1.96415 6.90946 1.91732L15.9095 1.09914C16.4951 1.0459 17 1.507 17 2.09503V12.5M17 12.5C17 13.8807 15.8807 15 14.5 15C13.1193 15 12 13.8807 12 12.5C12 11.1193 13.1193 10 14.5 10C15.8807 10 17 11.1193 17 12.5Z" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Consulter l'album </button> </li> <li> <button> <svg width="18" height="12" viewBox="0 0 18 12" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M1 1H17M3.99994 6H13.9999M7.99994 11H9.99994" stroke="#FEFCE1" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Consulter la file d'attente </button> </li> <li> <button> <svg width="20" height="15" viewBox="0 0 20 15" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M1 4H9M13 4H19M16 7V1M4 9H13M8 14H10" stroke="#FEFCE1" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Ajouter à la file d'attente </button> </li> <li> <button> <svg width="19" height="19" viewBox="0 0 19 19" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M14.271 12.1915V16.1915M16.271 14.1915H12.271M13.271 7.19153H15.271C16.3756 7.19153 17.271 6.2961 17.271 5.19153V3.19153C17.271 2.08696 16.3756 1.19153 15.271 1.19153H13.271C12.1664 1.19153 11.271 2.08696 11.271 3.19153V5.19153C11.271 6.2961 12.1664 7.19153 13.271 7.19153ZM3.271 17.1915H5.271C6.37557 17.1915 7.271 16.2961 7.271 15.1915V13.1915C7.271 12.087 6.37557 11.1915 5.271 11.1915H3.271C2.16643 11.1915 1.271 12.087 1.271 13.1915V15.1915C1.271 16.2961 2.16643 17.1915 3.271 17.1915ZM3.271 7.19153H5.271C6.37557 7.19153 7.271 6.2961 7.271 5.19153V3.19153C7.271 2.08696 6.37557 1.19153 5.271 1.19153H3.271C2.16643 1.19153 1.271 2.08696 1.271 3.19153V5.19153C1.271 6.2961 2.16643 7.19153 3.271 7.19153Z" stroke="#FEFCE1" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Ajouter à la playlist </button> </li> <li> <button> <svg width="37" height="33" viewBox="0 0 37 33" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M18.4999 31.1667C18.4999 31.1667 6.20162 23.1767 2.83328 15.5C-1.67089 5.23832 12.6249 -4.08335 18.4999 6.92249C24.3749 -4.08335 38.6708 5.23832 34.1666 15.5C30.7983 23.1571 18.4999 31.1667 18.4999 31.1667Z" stroke="#FEFCE1" stroke-width="2.84848" stroke-linecap="round" stroke-linejoin="round"/> </svg> Liker ce titre </button> </li> </ul> </div> </div> </div> </div> </section> <section id="OtherAlbums" class="results-section scrollable"> <h2>Autres albums <img src="/assets/icons/shape_2.svg"/></h2> <div class="content"> <div class="song-card"> <div class="background" aria-hidden></div> <div class="container-image"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> <img src="/assets/icons/play.svg" alt="play" class="play"/> </div> <div class="bottom-content"> <div class="texts"> <h4>Remontada</h4> <h5>So la lune</h5> </div> <img class="heart" src="/assets/icons/heart.svg"/> </div> </div> <div class="song-card"> <div class="background" aria-hidden></div> <div class="container-image"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> <img src="/assets/icons/play.svg" alt="play" class="play"/> </div> <div class="bottom-content"> <div class="texts"> <h4>Remontada</h4> <h5>So la lune</h5> </div> <img class="heart" src="/assets/icons/heart.svg"/> </div> </div> <div class="song-card"> <div class="background" aria-hidden></div> <div class="container-image"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> <img src="/assets/icons/play.svg" alt="play" class="play"/> </div> <div class="bottom-content"> <div class="texts"> <h4>Remontada</h4> <h5>So la lune</h5> </div> <img class="heart" src="/assets/icons/heart.svg"/> </div> </div> <div class="song-card"> <div class="background" aria-hidden></div> <div class="container-image"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> <img src="/assets/icons/play.svg" alt="play" class="play"/> </div> <div class="bottom-content"> <div class="texts"> <h4>Remontada</h4> <h5>So la lune</h5> </div> <img class="heart" src="/assets/icons/heart.svg"/> </div> </div> <div class="song-card"> <div class="background" aria-hidden></div> <div class="container-image"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> <img src="/assets/icons/play.svg" alt="play" class="play"/> </div> <div class="bottom-content"> <div class="texts"> <h4>Remontada</h4> <h5>So la lune</h5> </div> <img class="heart" src="/assets/icons/heart.svg"/> </div> </div> </div> </section> <section id="OtherArtists" class="results-section scrollable"> <h2>Autres Artistes <img src="/assets/icons/shape_3.svg"/></h2> <div class="content"> <div class="song-card artiste"> <div class="background" aria-hidden></div> <div class="container-image"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> </div> <div class="bottom-content"> <div class="texts"> <h4>So la lune</h4> <h5>Artiste</h5> </div> </div> </div> <div class="song-card artiste"> <div class="background" aria-hidden></div> <div class="container-image"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> </div> <div class="bottom-content"> <div class="texts"> <h4>So la lune</h4> <h5>Artiste</h5> </div> </div> </div> <div class="song-card artiste"> <div class="background" aria-hidden></div> <div class="container-image"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> </div> <div class="bottom-content"> <div class="texts"> <h4>So la lune</h4> <h5>Artiste</h5> </div> </div> </div> <div class="song-card artiste"> <div class="background" aria-hidden></div> <div class="container-image"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> </div> <div class="bottom-content"> <div class="texts"> <h4>So la lune</h4> <h5>Artiste</h5> </div> </div> </div> <div class="song-card artiste"> <div class="background" aria-hidden></div> <div class="container-image"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> </div> <div class="bottom-content"> <div class="texts"> <h4>So la lune</h4> <h5>Artiste</h5> </div> </div> </div> </div> </section> </section> </div> </main> <main id="SectionPlaylists" class="tab"> <div class="left-content"> <div class="actions"> <div class="buttons"> <button class="btn like" type="submit" id="MesFavoris"> <svg width="37" height="33" viewBox="0 0 37 33" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M18.4999 31.1667C18.4999 31.1667 6.20162 23.1767 2.83328 15.5C-1.67089 5.23832 12.6249 -4.08335 18.4999 6.92249C24.3749 -4.08335 38.6708 5.23832 34.1666 15.5C30.7983 23.1571 18.4999 31.1667 18.4999 31.1667Z" stroke="currentColor" stroke-width="2.84848" stroke-linecap="round" stroke-linejoin="round"/> </svg> Mes favoris </button> <button class="btn playlist" type="submit" id="NouvellePlaylist"> <svg width="19" height="19" viewBox="0 0 19 19" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M14.271 12.1915V16.1915M16.271 14.1915H12.271M13.271 7.19153H15.271C16.3756 7.19153 17.271 6.2961 17.271 5.19153V3.19153C17.271 2.08696 16.3756 1.19153 15.271 1.19153H13.271C12.1664 1.19153 11.271 2.08696 11.271 3.19153V5.19153C11.271 6.2961 12.1664 7.19153 13.271 7.19153ZM3.271 17.1915H5.271C6.37557 17.1915 7.271 16.2961 7.271 15.1915V13.1915C7.271 12.087 6.37557 11.1915 5.271 11.1915H3.271C2.16643 11.1915 1.271 12.087 1.271 13.1915V15.1915C1.271 16.2961 2.16643 17.1915 3.271 17.1915ZM3.271 7.19153H5.271C6.37557 7.19153 7.271 6.2961 7.271 5.19153V3.19153C7.271 2.08696 6.37557 1.19153 5.271 1.19153H3.271C2.16643 1.19153 1.271 2.08696 1.271 3.19153V5.19153C1.271 6.2961 2.16643 7.19153 3.271 7.19153Z" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Nouvelle playlist </button> </div> <div class="text-field"> <img src="./assets/icons/search.svg" alt="user"/> <input type="text" placeholder="Ma recherche" value=""> </div> </div> <div class="playlists"> <div class="artiste-wrapper"> <div id="btnPlaylist" class="artiste-row playlist glass with-dots"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>Super playlist</h4> <h5>So la lune, Luther, H JeuneCrack, AD Laurent, Sophie Anglade, AD Laurent, Sophie Anglade</h5> </div> </div> <div class="actions"> <img class="menu-dots" src="/assets/icons/menu-dots.svg" alt="open menu"/> </div> </div> <div class="menu"> <ul> <li> <button> <svg width="23" height="27" viewBox="0 0 23 27" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M18.2405 24.7722C19.8065 24.7722 21.1404 23.4819 20.7854 21.9567C19.9025 18.1628 16.9499 16.2658 11.1519 16.2658C5.35387 16.2658 2.40129 18.1628 1.51836 21.9567C1.16341 23.4819 2.49732 24.7722 4.06329 24.7722H18.2405Z" stroke="currentColor" stroke-width="2.83544" stroke-linecap="round" stroke-linejoin="round"/> <path fill-rule="evenodd" clip-rule="evenodd" d="M11.1519 12.0127C13.9873 12.0127 15.4051 10.5949 15.4051 7.05063C15.4051 3.50633 13.9873 2.08861 11.1519 2.08861C8.31645 2.08861 6.89873 3.50633 6.89873 7.05063C6.89873 10.5949 8.31645 12.0127 11.1519 12.0127Z" stroke="currentColor" stroke-width="2.83544" stroke-linecap="round" stroke-linejoin="round"/> </svg> Consulter l'artiste </button> </li> <li> <button> <svg width="18" height="17" viewBox="0 0 18 17" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M6 13.5C6 14.8807 4.88071 16 3.5 16C2.11929 16 1 14.8807 1 13.5C1 12.1193 2.11929 11 3.5 11C4.88071 11 6 12.1193 6 13.5ZM6 13.5V2.91321C6 2.39601 6.39439 1.96415 6.90946 1.91732L15.9095 1.09914C16.4951 1.0459 17 1.507 17 2.09503V12.5M17 12.5C17 13.8807 15.8807 15 14.5 15C13.1193 15 12 13.8807 12 12.5C12 11.1193 13.1193 10 14.5 10C15.8807 10 17 11.1193 17 12.5Z" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Consulter l'album </button> </li> <li> <button> <svg width="18" height="12" viewBox="0 0 18 12" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M1 1H17M3.99994 6H13.9999M7.99994 11H9.99994" stroke="#FEFCE1" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Consulter la file d'attente </button> </li> <li> <button> <svg width="20" height="15" viewBox="0 0 20 15" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M1 4H9M13 4H19M16 7V1M4 9H13M8 14H10" stroke="#FEFCE1" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Ajouter à la file d'attente </button> </li> <li> <button> <svg width="19" height="19" viewBox="0 0 19 19" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M14.271 12.1915V16.1915M16.271 14.1915H12.271M13.271 7.19153H15.271C16.3756 7.19153 17.271 6.2961 17.271 5.19153V3.19153C17.271 2.08696 16.3756 1.19153 15.271 1.19153H13.271C12.1664 1.19153 11.271 2.08696 11.271 3.19153V5.19153C11.271 6.2961 12.1664 7.19153 13.271 7.19153ZM3.271 17.1915H5.271C6.37557 17.1915 7.271 16.2961 7.271 15.1915V13.1915C7.271 12.087 6.37557 11.1915 5.271 11.1915H3.271C2.16643 11.1915 1.271 12.087 1.271 13.1915V15.1915C1.271 16.2961 2.16643 17.1915 3.271 17.1915ZM3.271 7.19153H5.271C6.37557 7.19153 7.271 6.2961 7.271 5.19153V3.19153C7.271 2.08696 6.37557 1.19153 5.271 1.19153H3.271C2.16643 1.19153 1.271 2.08696 1.271 3.19153V5.19153C1.271 6.2961 2.16643 7.19153 3.271 7.19153Z" stroke="#FEFCE1" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Ajouter à la playlist </button> </li> <li> <button> <svg width="37" height="33" viewBox="0 0 37 33" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M18.4999 31.1667C18.4999 31.1667 6.20162 23.1767 2.83328 15.5C-1.67089 5.23832 12.6249 -4.08335 18.4999 6.92249C24.3749 -4.08335 38.6708 5.23832 34.1666 15.5C30.7983 23.1571 18.4999 31.1667 18.4999 31.1667Z" stroke="#FEFCE1" stroke-width="2.84848" stroke-linecap="round" stroke-linejoin="round"/> </svg> Liker ce titre </button> </li> </ul> </div> </div> </div> </div> <section class="current-display"> <div id="playlist" class="content-block"> <div class="playlist"></div> <img src="/assets/icons/menu-dots.svg" alt="open menu" class="menu-dots"/> <div class="top-content"> <div class="album-infos"> <div class="container-album"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h3>Super playlist</h3> <h4>Durée: x heures</h4> </div> </div> <img src="/assets/icons/play.svg" alt="play" class="play"/> </div> <div class="buttons"> <button class="btn" type="button"> <img src="/assets/icons/add.svg" alt="arrow"> Ajouter un titre </button> <button class="btn" type="button"> <img src="/assets/icons/share.svg" alt="arrow"> Partager </button> </div> <div class="border glass"></div> </div> <div class="songs"> <div class="artiste-row glass with-dots"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <img class="menu-dots" src="/assets/icons/menu-dots.svg" alt="open menu"/> </div> </div> <div class="artiste-row glass with-dots"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <img class="menu-dots" src="/assets/icons/menu-dots.svg" alt="open menu"/> </div> </div> <div class="artiste-row glass with-dots"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <img class="menu-dots" src="/assets/icons/menu-dots.svg" alt="open menu"/> </div> </div> <div class="artiste-row glass with-dots"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <img class="menu-dots" src="/assets/icons/menu-dots.svg" alt="open menu"/> </div> </div> <div class="artiste-row glass with-dots"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <img class="menu-dots" src="/assets/icons/menu-dots.svg" alt="open menu"/> </div> </div> <div class="artiste-row glass with-dots"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <img class="menu-dots" src="/assets/icons/menu-dots.svg" alt="open menu"/> </div> </div> <div class="artiste-row glass with-dots"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <img class="menu-dots" src="/assets/icons/menu-dots.svg" alt="open menu"/> </div> </div> <div class="artiste-row glass with-dots"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <img class="menu-dots" src="/assets/icons/menu-dots.svg" alt="open menu"/> </div> </div> <div class="artiste-row glass with-dots"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <img class="menu-dots" src="/assets/icons/menu-dots.svg" alt="open menu"/> </div> </div> <div class="artiste-row glass"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <img class="menu-dots" src="/assets/icons/menu-dots.svg" alt="open menu"/> </div> </div> </div> </div> <div id="favoris" class="content-block favoris"> <div class="top-content"> <div class="album-infos"> <div class="container-album"> <svg class="heart" width="37" height="33" viewBox="0 0 37 33" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M18.4999 31.1667C18.4999 31.1667 6.20162 23.1767 2.83328 15.5C-1.67089 5.23832 12.6249 -4.08335 18.4999 6.92249C24.3749 -4.08335 38.6708 5.23832 34.1666 15.5C30.7983 23.1571 18.4999 31.1667 18.4999 31.1667Z" stroke="currentColor" stroke-width="2.84848" stroke-linecap="round" stroke-linejoin="round"/> </svg> <div class="texts"> <h3>Mes favoris</h3> <h4>187 titres likés</h4> </div> </div> <img src="/assets/icons/play.svg" alt="play" class="play"/> </div> <div class="border glass"></div> </div> <div class="songs"> <div class="artiste-row glass with-dots"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <img class="menu-dots" src="/assets/icons/menu-dots.svg" alt="open menu"/> </div> </div> <div class="artiste-row glass with-dots"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <img class="menu-dots" src="/assets/icons/menu-dots.svg" alt="open menu"/> </div> </div> <div class="artiste-row glass with-dots"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <img class="menu-dots" src="/assets/icons/menu-dots.svg" alt="open menu"/> </div> </div> <div class="artiste-row glass with-dots"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <img class="menu-dots" src="/assets/icons/menu-dots.svg" alt="open menu"/> </div> </div> <div class="artiste-row glass with-dots"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <img class="menu-dots" src="/assets/icons/menu-dots.svg" alt="open menu"/> </div> </div> <div class="artiste-row glass with-dots"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <img class="menu-dots" src="/assets/icons/menu-dots.svg" alt="open menu"/> </div> </div> <div class="artiste-row glass with-dots"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <img class="menu-dots" src="/assets/icons/menu-dots.svg" alt="open menu"/> </div> </div> <div class="artiste-row glass with-dots"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <img class="menu-dots" src="/assets/icons/menu-dots.svg" alt="open menu"/> </div> </div> <div class="artiste-row glass with-dots"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <img class="menu-dots" src="/assets/icons/menu-dots.svg" alt="open menu"/> </div> </div> <div class="artiste-row glass"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <img class="menu-dots" src="/assets/icons/menu-dots.svg" alt="open menu"/> </div> </div> </div> </div> </section> </main> </div> </div> <aside class="content-player"> <div class="inner-content"> <section class="top-content"> <div class="cover-container"> <img class="cover" src="/assets/images/cover_so_la_lune.png"/> </div> <div class="media-infos"> <div class="current-media"> <div class="texts"> <h3>Remontada</h3> <h4>So la lune</h4> </div> <img class="heart" src="/assets/icons/heart.svg"/> </div> <div class="actions"> <div class="buttons"> <button id="random" class="side-button" type="button"> <img src="/assets/icons/random.svg" alt="random"/> </button> <div class="main-buttons"> <button class="main-button" id="back" type="button"> <img src="/assets/icons/previous.svg" alt="previous"/> </button> <button id="playPause" type="button"> <img src="/assets/icons/play-lg.svg" alt="play"/> </button> <button class="main-button" id="next" type="button"> <img src="/assets/icons/next.svg" alt="next"> </button> </div> <button id="repeat" class="side-button" type="button"> <img src="/assets/icons/repeat.svg" alt="repeat"/> </button> </div> <div class="progress"> <p>1:21</p> <div class="bar"> <div class="inner"></div> </div> <p>2:30</p> </div> </div> </div> </section> <section class="file-attente"> <h4>A suivre</h4> <div class="content"> <div class="artiste-row glass"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <div class="edit-list"> <img class="btn-file-attente" src="/assets/icons/down-arrow.svg" alt="down"/> <img class="btn-file-attente" src="/assets/icons/up-arrow.svg" alt="up"/> </div> <img class="btn-file-attente" src="/assets/icons/close.svg"/> </div> </div> <div class="artiste-row glass"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <div class="edit-list"> <img src="/assets/icons/down-arrow.svg" alt="down"/> <img src="/assets/icons/up-arrow.svg" alt="up"/> </div> <img src="/assets/icons/close.svg"/> </div> </div> <div class="artiste-row glass"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <div class="edit-list"> <img src="/assets/icons/down-arrow.svg" alt="down"/> <img src="/assets/icons/up-arrow.svg" alt="up"/> </div> <img src="/assets/icons/close.svg"/> </div> </div> </div> </section> </div> </aside> <div class="pop-up-container" id="popUpContainer"> <div class="new-playlist" id="popUpPlaylist"> <header> <h2>Nouvelle playlist <img src="/assets/icons/shape_1.svg"/></h2> <button id="btnClosePopUp" type="button"> <img src="/assets/icons/close.svg" alt="close"/> </button> </header> <form> <div class="top-content"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"/> </div> <div class="text-field"> <img src="./assets/icons/pencil.svg" alt="user"/> <input type="text" placeholder="Playlist n°1" value="Playlist n°1"> </div> </div> <div class="bottom-content"> <div class="left-content"> <h3>Suggestions</h3> <div class="suggestions"> <div class="artiste-row glass suggestion"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <img src="/assets/icons/add-circle.svg"/> </div> </div> <div class="artiste-row glass suggestion"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <img src="/assets/icons/add-circle.svg"/> </div> </div> <div class="artiste-row glass suggestion"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <img src="/assets/icons/add-circle.svg"/> </div> </div> <div class="artiste-row glass suggestion"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <img src="/assets/icons/add-circle.svg"/> </div> </div> <div class="artiste-row glass suggestion"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <img src="/assets/icons/add-circle.svg"/> </div> </div> <div class="artiste-row glass suggestion"> <div class="infos"> <div class="container-cover"> <img src="/assets/images/cover_so_la_lune.png" alt="cover"> </div> <div class="texts"> <h4>L'enfant de la pluie</h4> <h5>So la lune</h5> </div> </div> <div class="actions"> <img src="/assets/icons/add-circle.svg"/> </div> </div> </div> </div> <button class="btn playlist important"> <svg width="19" height="19" viewBox="0 0 19 19" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M14.271 12.1915V16.1915M16.271 14.1915H12.271M13.271 7.19153H15.271C16.3756 7.19153 17.271 6.2961 17.271 5.19153V3.19153C17.271 2.08696 16.3756 1.19153 15.271 1.19153H13.271C12.1664 1.19153 11.271 2.08696 11.271 3.19153V5.19153C11.271 6.2961 12.1664 7.19153 13.271 7.19153ZM3.271 17.1915H5.271C6.37557 17.1915 7.271 16.2961 7.271 15.1915V13.1915C7.271 12.087 6.37557 11.1915 5.271 11.1915H3.271C2.16643 11.1915 1.271 12.087 1.271 13.1915V15.1915C1.271 16.2961 2.16643 17.1915 3.271 17.1915ZM3.271 7.19153H5.271C6.37557 7.19153 7.271 6.2961 7.271 5.19153V3.19153C7.271 2.08696 6.37557 1.19153 5.271 1.19153H3.271C2.16643 1.19153 1.271 2.08696 1.271 3.19153V5.19153C1.271 6.2961 2.16643 7.19153 3.271 7.19153Z" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Ajouter la playlist </button> </div> </form> </div> </div> <!-- GSAP --> <script src="https://cdnjs.cloudflare.com/ajax/libs/gsap/3.12.5/gsap.min.js"></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/gsap/3.12.5/gsap.min.js"></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/gsap/3.12.5/Flip.min.js"></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/gsap/3.12.5/ScrollTrigger.min.js"></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/gsap/3.12.5/Observer.min.js"></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/gsap/3.12.5/ScrollToPlugin.min.js"></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/gsap/3.12.5/Draggable.min.js"></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/gsap/3.12.5/MotionPathPlugin.min.js"></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/gsap/3.12.5/EaselPlugin.min.js"></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/gsap/3.12.5/PixiPlugin.min.js"></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/gsap/3.12.5/TextPlugin.min.js"></script> <!-- RoughEase, ExpoScaleEase and SlowMo are all included in the EasePack file --> <script src="https://cdnjs.cloudflare.com/ajax/libs/gsap/3.12.5/EasePack.min.js"></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/gsap/3.12.5/CustomEase.min.js"></script> <!-- Mon script --> <script src="./scripts/mainscript.js"></script> </body> </html> avec ce style : @font-face { font-family: 'Kicker'; src: url('./assets/fonts/kicker-black/KickerTrial-Black.ttf') format('truetype'); font-weight: 100; font-style: normal; } @font-face { font-family: 'Kicker'; src: url('./assets/fonts/kicker-black/KickerTrial-BlackItalic.ttf') format('truetype'); font-weight: 100; font-style: italic; } @font-face { font-family: 'Kicker'; src: url('./assets/fonts/kicker-bold/KickerTrial-BlackSlanted.ttf') format('truetype'); font-weight: 200; font-style: normal; } /* PPMori-Extralight PPMori-ExtraLightItalic PPMori-Regular PPMori-RegularItalic PPMori-SemiBold PPMori-SemiBoldItalic */ @font-face { font-family: 'PP Mori'; src: url('./assets/fonts/pp-mori/PPMori-ExtraLight.otf') format('truetype'); font-weight: 100; font-style: normal; } @font-face { font-family: 'PP Mori'; src: url('./assets/fonts/pp-mori/PPMori-ExtraLightItalic.otf') format('truetype'); font-weight: 100; font-style: italic; } @font-face { font-family: 'PP Mori'; src: url('./assets/fonts/pp-mori/PPMori-Regular.otf') format('truetype'); font-weight: 200; font-style: normal; } @font-face { font-family: 'PP Mori'; src: url('./assets/fonts/pp-mori/PPMori-RegularItalic.otf') format('truetype'); font-weight: 200; font-style: italic; } @font-face { font-family: 'PP Mori'; src: url('./assets/fonts/pp-mori/PPMori-SemiBold.otf') format('truetype'); font-weight: 300; font-style: normal; } @font-face { font-family: 'PP Mori'; src: url('./assets/fonts/pp-mori/PPMori-SemiBoldItalic.otf') format('truetype'); font-weight: 300; font-style: italic; } *{ margin: 0; padding: 0; box-sizing: border-box; } :root { --yellow: #E2FF08; --text-color: #FEFCE1; --text-color-secondary: #7F7E70; --text-color-tertiary: #56574E; --background-color: #000000; --background-secondary: #0E100F; --background-tertiary:#070808; --red: #ED1C24; } body{ background-color: var(--background-color); position: relative; display: flex; justify-content: space-between; font-family: 'PP Mori', sans-serif; min-height: 100vh; max-height: 100vh; max-width: 100vw; overflow-x:hidden; } ::-webkit-scrollbar { width: 5px; /* Largeur pour les barres de défilement horizontales */ height: 4px; /* Hauteur pour les barres de défilement verticales */ } /* Style pour le fond des barres de défilement */ ::-webkit-scrollbar-track { background: #f1f1f1; border-radius: 1rem; } /* Style pour les poignées de défilement */ ::-webkit-scrollbar-thumb { background: var(--yellow); border-radius: 1rem; } /* Style pour les poignées de défilement au survol */ ::-webkit-scrollbar-thumb:hover { filter: brightness(1.2); } .glass{ position: relative; z-index: 1; overflow: hidden; } .glass::before{ content:""; top:0; left: 0; width: 100%; height: 100%; position: absolute; background-color: #FFFFFF; border-radius: 50%; filter: blur(200px) opacity(0.5); z-index: -1; } body aside{ z-index: 10; min-width: 40vw; width: 40%; max-width: 40vw; background-color: var(--yellow); max-height: 100vh; overflow: hidden; display: flex; justify-content: space-around; } body aside h2{ white-space: nowrap; font-size: 9.375rem; position: relative; top: -2rem; text-wrap: nowrap; writing-mode: vertical-rl; font-family: 'Kicker'; font-weight: 100; } body main{ padding: 6rem 10rem; width: 100%; display: flex; flex-direction: column; gap:6rem; } body main .connection{ display: flex; flex-direction: column; height: 100%; position: relative; } body main #inscription{ opacity:0; } body main .container-connexion{ position: absolute; left: 0; top: 0; width: 100%; } .logo{ align-self: flex-start; height: 6rem; } body main form{ display: flex !important; flex-direction: column !important; justify-content: space-between; min-height: 100%; max-height: 100%; gap:2rem; } body main form legend{ font-size: 3.125rem; font-family: "Kicker"; font-weight: 100; color: var(--text-color); } body main form .top-content{ display: flex; flex-direction: column; gap:3rem; } body main form .top-content .inputs{ display: flex; flex-direction: column; gap:4rem; } body main form .bottom-content{ display: flex; justify-content: space-between; align-items: center; width: 100%; position: relative; } body main form .bottom-content button{ border:none; cursor: pointer; background-color: transparent; } body main form .bottom-content .buttons{ display: flex; gap: 1rem; } body main #connexion .bottom-content{ flex-direction: row-reverse; } body main form .bottom-content .buttons button{ cursor: pointer; display: flex; gap:1rem; background-color: var(--background-secondary); border: none; padding: 1.5rem 2rem; border-radius: 1rem; color:var(--yellow); font-family: 'PP Mori'; font-weight: 400; min-width: 14rem; font-size: 1.1875rem; display: flex; gap: 0.7rem; align-items: center; } body main form .bottom-content .buttons button.secondary{ color: var(--text-color); filter: brightness(0.8); } body main form .bottom-content .buttons button:hover{ filter: brightness(0.8); } body main form .bottom-content .buttons button.secondary:hover{ filter: brightness(0.6); } body main form .bottom-content .buttons img{ height: 1rem; position: relative; bottom: 3%; } body main form .bottom-content .buttons button.secondary img{ height: 1.5rem; } body main form .container-textfields{ display: flex; gap: 2rem; } .text-field{ width: 100%; display: flex; position: relative; padding: 1.625rem 1.875rem; color: var(--text-color-secondary); } .text-field img{ height: 1.5rem; } .text-field input{ position: absolute; top: 0; left: 0; width: 100%; height: 100%; padding-left: 6rem; background-color: transparent; border: none; border-bottom: 1.5px solid var(--text-color-secondary); outline: none; color: var(--text-color-secondary); font-family: 'PP Mori'; font-weight: 300; font-size: 1.25rem; transition: all 0.2s ease-in-out; } .text-field.no-space input{ padding-left: 1rem; } .text-field input:focus{ border-bottom: 1.5px solid var(--yellow); transition: all 0.2s ease-in-out; } nav{ position: relative; display: flex; background-color: var(--background-secondary); border-radius: 1rem; padding: 1rem; height: 5.1875rem; min-height: 5.1875rem; display: flex; align-self: flex-start; } nav ul{ display: flex; gap: 0.85rem; height: 100%; list-style: none; z-index: 2; } nav ul li{ list-style-type: none; } nav .active-square{ position: absolute; width: 11.25rem; top:0.8rem; height: 3.5rem; z-index: 0; left: 1rem; background-color: var(--yellow); border-radius: 0.8rem; } nav ul li a { width: 11.25rem; text-decoration: none; color: var(--text-color); gap:0.7rem; height: 100%; display: flex; justify-content: center; align-items: center; white-space: nowrap; text-wrap: nowrap; font-size: 1rem; } nav ul li a svg{ position: relative; bottom: 3%; height: 1.3rem; } body .left{ padding: 3rem; width: 100%; display: flex; gap:2rem; flex-direction: column; } body .left header{ align-self: flex-start; display: flex; flex-direction: column; gap: 4.7rem; } body .left header img{ align-self: flex-start; } body .left .container-tabs{ position: relative; } body .tab{ position: absolute; padding:0; display: flex; flex-direction: column; gap:1.8rem; min-width: 65vw; height: 67vh; max-height: 67vh; overflow: auto; padding-right: 2rem; padding-bottom: 2rem; } #PageArtiste{ position: absolute; opacity: 0; padding-right: 2rem; width: 100%; display: flex; gap: 1.15rem; height: 100%; } #PageArtiste .back-btn{ align-self: flex-start; background-color: transparent; border: none; position: absolute; bottom:2rem; left:0; z-index: 100; cursor:pointer; transition: all 0.2s ease; } #PageArtiste .back-btn:hover{ filter: opacity(0.4); transition: all 0.2s ease; } #PageArtiste .infos-artiste{ display: flex; flex-direction: column; gap:1.375rem; width: 80%; position: sticky; bottom: 0; } #PageArtiste .infos-artiste .buttons{ display: flex; gap:1rem; } #PageArtiste .infos-artiste .card-artiste{ padding: 2rem; border-radius: 1rem; display: flex; justify-content: space-between; gap: 1.5rem; background-color: var(--background-tertiary); } #PageArtiste .infos-artiste .card-artiste .infos{ display: flex; align-items: center; gap:2rem; } #PageArtiste .infos-artiste .card-artiste .infos .texts { color: var(--text-color); gap:0.5rem; display: flex; flex-direction: column; } #PageArtiste .infos-artiste .card-artiste .infos .texts h2{ font-size: 2.5rem; } #PageArtiste .infos-artiste .card-artiste .infos .texts h4{ filter: opacity(0.3); font-size: 0.9rem; } #PageArtiste .infos-artiste .card-artiste .container-cover{ width: 10rem; min-width: 10rem; height: 10rem; min-height: 10rem; border-radius: 1rem; overflow: hidden; } #PageArtiste .infos-artiste .card-artiste .play-btn{ align-self: flex-end; } #PageArtiste .main-content{ display: flex; flex-direction: column; width: 100%; height: 100%; gap:1.25rem; padding-bottom: 1.5rem; } #PageArtiste .main-content .content-block{ height: 100%; position: relative; width: 100%; overflow-x: hidden; } #PageArtiste .main-content .content-block > section{ top:0; left:0; width: 100%; height: 100%; position: absolute; display: flex; gap: 0.75rem; padding: 1rem; } #PageArtiste .main-content .content-block #TopTitres{ flex-direction: column; opacity: 0; } #PageArtiste .main-content .content-block #Albums{ opacity: 0; flex-wrap: wrap; max-height: 100%; overflow-y:auto; padding-right: 1rem; } #PageArtiste .main-content .content-block #Albums .song-card{ min-width: 0; max-width: 32%; padding: 1rem; min-height: 0; height: auto; } #PageArtiste .main-content .content-block #Albums .song-card .container-image{ width: 100%; height: auto; } #PageArtiste .main-content .content-block #Albums .song-card .bottom-content{ width: 100%; } body #SectionRecherche{ gap:0; opacity: 0; overflow-x: hidden; } body #SectionRecherche .wrapper-recherche{ display: flex; flex-direction: column; gap:2rem; max-width: 100%; position: absolute; padding-right: 2rem; } /* pour rendre le header de la recherche sticky body #SectionRecherche .wrapper-recherche .text-field{ position: sticky; top:0; background-color: var(--background-color); z-index: 100; } */ body #SectionPlaylists{ display: flex; flex-direction: row; opacity: 0; padding-bottom: 2rem; } body #SectionPlaylists .left-content{ display: flex; flex-direction: column; gap:2rem; max-width: 40%; width: 40%; position: sticky; top:0; z-index: 10; } body #SectionPlaylists .left-content .actions{ display: flex; flex-direction: column; gap:1.5625rem; } body #SectionPlaylists .buttons{ display: flex; gap:0.5rem; } .btn{ cursor: pointer; display: flex; gap:1rem; background-color: var(--background-secondary); border: none; padding: 0.85rem 1rem; border-radius: 1rem; color:var(--text-color); font-family: 'PP Mori'; font-weight: 400; font-size: 1rem; display: flex; min-width: 13rem; gap: 0.7rem; align-items: center; transition: all 0.2s ease-in-out; } .btn:hover{ filter: opacity(0.8); transition: all 0.2s ease-in-out; } .btn.like svg{ color: var(--red); fill: var(--red); width: 1.5rem; } .btn.playlist svg{ color: var(--yellow); height: 1rem; } .btn.share svg{ height: 1rem; } .btn.important{ color: var(--yellow); padding: 1.2rem 1rem; } body .content-block{ display: flex; flex-direction: column; background-color: var(--background-secondary); border-radius: 1rem; padding: 1.9rem 2.4rem; width: 100%; gap:2rem; } body .content-block > header{ display: flex; flex-direction: row; align-items: center; width: 100%; max-width: 100%; justify-content: space-between; } body .content-block h2, .results-section h2, .pop-up-container h2{ display: flex; font-size: 3rem; align-items: center; gap:1.5rem; color: var(--text-color); white-space: nowrap; text-wrap: nowrap; } h2 img{ height: 2.5rem; } body .content-block > header a{ text-decoration: none; color: var(--text-color-secondary); font-size: 1.25rem; white-space: nowrap; text-wrap: nowrap; } body .content-block .content{ display: flex; gap:1rem; overflow-x: auto; padding-bottom: 1.5rem; } #SectionPlaylists .current-display{ width: 100%; position: relative; } #SectionPlaylists .play{ height: 3rem; } #SectionPlaylists .content-block{ background-color: var(--background-tertiary); width: 100%; position: absolute; gap:3rem; z-index: 1; } #SectionPlaylists .content-block.favoris{ padding-top: 6rem; opacity: 0; z-index: -1; } #SectionPlaylists .current-display::after{ content: ""; height: 2rem; width: 1px; position: block; z-index: 100; } #SectionPlaylists .content-block .top-content{ display: flex; flex-direction: column; gap: 2.375rem; width: 100%; position: relative; } #SectionPlaylists .content-block.favoris .top-content{ padding-bottom: 1rem; } #SectionPlaylists .content-block .top-content .border{ width: 100%; height: 2px; position: absolute; bottom: -1.5rem; left: 0; border-radius: 1rem; } #SectionPlaylists .content-block .top-content .border::before{ filter: blur(10px) opacity(1); } #SectionPlaylists .content-block .top-content .album-infos{ width: 100%; display: flex; justify-content: space-between; align-items: flex-end; } #SectionPlaylists .content-block .top-content .album-infos .container-album{ display: flex; gap: 1.25rem; align-items: center; } #SectionPlaylists .content-block .top-content .album-infos .container-album .heart{ color: var(--red); fill: var(--red); width: 4rem; height: 3rem; } #SectionPlaylists .content-block .top-content .album-infos .container-cover{ overflow: hidden; height: 10rem; width: 10rem; border-radius: 1rem; } #SectionPlaylists .content-block .top-content .album-infos .texts{ display: flex; flex-direction: column; color: var(--text-color); gap: 0.3rem; } #SectionPlaylists .content-block .top-content .album-infos .texts h3{ font-size: 3rem; } #SectionPlaylists .content-block .top-content .album-infos .texts h4{ filter: opacity(0.7); font-weight: 200; } #SectionPlaylists .content-block > .menu-dots{ position: absolute; right: 1.5rem; top:1.5rem; } #SectionPlaylists .content-block .buttons{ gap:1rem; } #SectionPlaylists .content-block .buttons button{ padding: 1.3rem 1.5rem; color: var(--text-color-secondary); } #SectionPlaylists .content-block .songs{ display: flex; flex-direction: column; gap:0.7rem; } .song-card{ display: flex; flex-direction: column; align-items: center; gap:0.75rem; height:18rem; min-height: 18rem; border-radius: 0.625rem; min-width: 15rem; padding:1.25rem; overflow: hidden; cursor: pointer; z-index: 1; position: relative; } .song-card.artiste{ gap:1.5rem; } .song-card .background{ position: absolute; top: 0; left: 0; width: 100%; height: 100%; z-index: -1; background-color: rgba(255, 255, 255, 0.6); opacity: 0; border-radius: 50%; filter: blur(400px); } .song-card .container-image{ height: 12.5rem; width: 12.5rem; display: flex; justify-content: center; align-items: center; border-radius: 0.3rem; display: flex; overflow: hidden; position: relative; } .song-card.artiste .container-image{ height: 10rem; width: 10rem; } .song-card .container-image .cover{ height: 100%; width: 100%; object-fit: cover; } .song-card .container-image .play{ position: absolute; bottom: 0.5rem; right: 0.5rem; height: 4rem; transform: translateY(5rem); } .song-card .bottom-content{ display: flex; justify-content: space-between; align-items: center; width: 12.5rem; } .song-card .bottom-content .texts{ color: var(--text-color); display: flex; flex-direction: column; gap:0.1rem; } .song-card .bottom-content h4{ font-size: 1.25rem; } .song-card .bottom-content h5{ filter: opacity(0.7); font-size: 0.9rem; font-weight: 100; } .song-card .bottom-content .heart{ height: 1.2rem; } body .content-player{ background-color: var(--background-secondary); min-width: 30vw; width: 30vw; max-width: 30vw; border-top-left-radius: 1rem; border-bottom-left-radius: 1rem; } body .content-player .inner-content{ min-height: 100%; overflow-y: auto; gap:2.2rem; display: flex; align-items: center; justify-content: space-between; flex-direction: column; padding: 3rem 1.5rem; } body .content-player .cover-container{ width: 100%; height: auto; overflow: hidden; border-radius: 1rem; } body .content-player .cover-container .cover{ height: 100%; width: 100%; object-fit: cover; } body .content-player .top-content{ display: flex; flex-direction: column; gap:1rem; } body .content-player .media-infos{ display: flex; flex-direction: column; gap: 1rem; } body .content-player .media-infos .current-media{ display: flex; align-items: center; width: 100%; justify-content: space-between; } body .content-player .media-infos .current-media .heart{ height: 2rem; } body .content-player .media-infos .current-media .texts{ display: flex; flex-direction: column; color: var(--text-color); } body .content-player .media-infos .current-media .texts h3{ font-weight: 300; font-size: 2rem; } body .content-player .media-infos .current-media .texts h4{ font-weight: 100; filter: opacity(0.7); font-size: 1.5rem; } body .content-player .media-infos .actions{ display: flex; flex-direction: column; gap:1.6875rem; } body .content-player .media-infos .actions .buttons{ display: flex; gap: 2rem; justify-content: center; } body .content-player .media-infos .actions .buttons button{ background-color: transparent; border: none; } body .content-player .media-infos .actions .buttons #random img{ height: 1rem; } body .content-player .media-infos .actions .buttons #repeat img { height: 0.7rem; } body .content-player .media-infos .actions .buttons .main-button img { height: 1.5rem; } body .content-player .media-infos .actions .buttons #playPause img{ height: 4rem; } body .content-player .media-infos .actions .buttons .main-buttons{ display: flex; gap: 1rem; } body .content-player .media-infos .actions .progress{ width: 100%; display: flex; justify-content: space-between; gap:1rem; color: var(--text-color-secondary); align-items: center; } body .content-player .media-infos .actions .progress .bar{ border-radius: 0.7rem; width: 100%; height: 5px; background-color: var(--text-color-tertiary); } body .content-player .media-infos .actions .progress .bar .inner{ border-radius: inherit; width: 60%; height: 5px; background-color: var(--text-color); } body .content-player .file-attente{ background-color: var(--background-tertiary); width: 100%; max-height: 50vh; border-radius: 1rem; padding: 1.5rem 1.5rem 0.5rem 1.5rem; color: var(--text-color); display: flex; flex-direction: column; gap: 1rem; } body .content-player .file-attente .content{ display: flex; flex-direction: column; gap:0.625rem; padding-right: 0.6rem; } .artiste-row{ display: flex; position: relative; justify-content: space-between; padding: 0.5rem 1.5rem 0.5rem 0.5rem; border-radius: 1rem; min-height: 4rem; width: 100%; cursor: pointer; transition: all 0.2s ease-in-out; } .artiste-row:hover{ filter: brightness(0.6); transition: all 0.2s ease-in-out; } .artiste-row.with-dots{ padding: 0.5rem 0.5rem 0.5rem 0.5rem; } .artiste-row .menu-dots{ padding: 0.5rem; height: 1.5rem; } .artiste-row .infos{ display: flex; align-items: center; gap:1rem; } .artiste-row .infos .texts{ display: flex; gap:0.3rem; flex-direction: column; color:var(--text-color) } .artiste-row .infos .texts h4{ font-size: 1rem; font-weight: 300; } .artiste-row .infos .texts h5{ filter: opacity(0.7); font-size: 0.875rem; font-weight: 200; } .artiste-row.playlist .texts{ gap: 0.6rem } .artiste-row.playlist .texts h5{ font-size: 0.8rem; max-width: 15vw; overflow: hidden; text-wrap: nowrap; white-space: nowrap; text-overflow: ellipsis; } .artiste-row .infos .container-cover{ height: 3.5rem; width: 3.5rem; min-width: 3.5rem; overflow: hidden; border-radius: 0.8rem; } .artiste-row.playlist .infos .container-cover{ height: 5rem; width: 5rem; } .container-cover img{ height: 100%; width: 100%; object-fit: cover; } body .content-player .file-attente .content .artiste-row .actions, .pop-up-container .artiste-row .actions{ display: flex; align-items: center; gap:2rem; } body .content-player .file-attente .content .artiste-row .actions .btn-file-attente{ height: 1rem; } .artiste-wrapper{ position: relative; } .artiste-wrapper .menu{ position: absolute; top:2rem; right: 1rem; background-color: #212121; filter: opacity(1); z-index: 10; padding: 1rem; display: none; border-radius: 1rem; } .artiste-wrapper .menu ul { list-style: none; display: flex; flex-direction: column; gap:0.2rem; } .artiste-wrapper .menu ul li{ width: 100%; } .artiste-wrapper .menu ul li button{ display: flex; align-items: center; background-color: transparent; border: none; color: var(--text-color); font-family: 'PP Mori'; width: 100%; justify-content: flex-start; font-size: 1rem; gap:1rem; padding: 1rem 1rem; cursor: pointer; border-radius: 1rem; transition: all 0.2s ease-in-out; } .artiste-wrapper .menu ul li button:hover{ background-color: #353535; transition: all 0.2s ease-in-out; } .artiste-wrapper .menu ul li button svg{ width: 1rem; height: 1rem; } body .content-player .file-attente .content .artiste-row .actions .edit-list{ display: flex; gap:1.25rem; } /* recherche */ #SectionRecherche{ display: flex; flex-direction: column; gap: 2rem; } #SectionRecherche .resultat h2 img{ align-self: flex-start; } #SectionRecherche .resultat { padding-bottom: 2rem; max-height: 100%; overflow-x:hidden; display: flex; flex-direction: column; gap:3.75rem } #SectionRecherche .resultat .results-section{ display: flex; flex-direction: column; gap: 2.25rem; } #SectionRecherche .resultat .results-section.scrollable .content{ overflow-x: auto; padding-bottom: 1rem; } #SectionRecherche .resultat .results-section .content{ display: flex; gap: 1.5rem; } #SectionRecherche .resultat .results-section .content .best-result{ display: flex; flex-direction: column; gap:1.5rem; padding: 1.5rem; min-width: 40%; max-width: 40%; border-radius: 1rem; cursor: pointer; transition: all 0.2s ease-in-out; } #SectionRecherche .resultat .results-section .content .best-result .expand{ height: 2rem; } #SectionRecherche .resultat .results-section .content .best-result:hover{ filter: brightness(0.7); transition: all 0.2s ease-in-out; } #SectionRecherche .resultat .results-section .content .best-result::before{ filter: blur(300px) opacity(0.5); } #SectionRecherche .resultat .results-section .content .best-result .container-cover{ width: 8rem; height: 8rem; overflow: hidden; border-radius: 0.8rem; } #SectionRecherche .resultat .results-section .content .best-result .container-cover img{ height: 100%; width: 100%; object-fit: cover; } #SectionRecherche .resultat .results-section .content .best-result .infos{ display: flex; justify-content: space-between; } #SectionRecherche .resultat .results-section .content .best-result .infos .texts{ display: flex; flex-direction: column; gap:0.3rem; color: var(--text-color); } #SectionRecherche .resultat .results-section .content .best-result .infos .texts h4 { font-size: 1.25rem; font-weight: 300; } #SectionRecherche .resultat .results-section .content .best-result .infos .texts h5{ filter: opacity(0.7); font-size: 0.875rem; font-weight: 200; } #SectionRecherche .resultat .results-section .content .other-results{ width: 100%; display: flex; flex-direction: column; justify-content: space-between; } #SectionRecherche .resultat .results-section .content .other-results .artiste-row{ cursor: pointer; } /* pop up */ .pop-up-container{ position: fixed; z-index: 10000; width: 100%; height: 100vh; display: flex; align-items: center; justify-content: center; backdrop-filter: blur(8px); display: none; } .pop-up-container .new-playlist{ background-color: var(--background-tertiary); padding: 2.5rem; border-radius: 1rem; min-width: 50vw; display: flex; flex-direction: column; gap:1.75rem; } .pop-up-container .new-playlist header{ display: flex; justify-content: space-between; align-items: center; } .pop-up-container .new-playlist header #btnClosePopUp{ background:transparent; border:none; cursor: pointer; padding: 0.5rem; } .pop-up-container .new-playlist header #btnClosePopUp img{ width: 1.25rem; height: 1.25rem; } .pop-up-container .new-playlist form{ display: flex; flex-direction: column; gap:2.625rem; } .pop-up-container .new-playlist form .top-content{ display: flex; align-items: flex-end; gap:1.75rem; } .pop-up-container .new-playlist form .top-content > .container-cover{ width: 9rem; min-width: 9rem; height: 9rem; min-height: 9rem; border-radius: 1rem; overflow: hidden; } .pop-up-container .new-playlist form .bottom-content{ display: flex; flex-direction: column; align-items: center; gap: 2rem } .pop-up-container .new-playlist form .bottom-content .left-content{ display: flex; flex-direction: column; gap: 1.25rem; width: 100%; } .pop-up-container .new-playlist form .bottom-content h3{ font-size: 1.25rem; color: var(--text-color-secondary); } .pop-up-container .new-playlist form .suggestions{ display: flex; gap:0.8rem; max-height: 30vh; overflow-y: auto; flex-direction: column; padding-right: 1rem; } @media (max-width: 1600px) { html { font-size: 14px; } .artiste-row .actions .edit-list{ display: none !important; } } /* Point de rupture pour les écrans LG */ @media (max-width: 1199px) { html { font-size: 14px; } .content-player{ display: none; } body aside{ display: none; } } /* Point de rupture pour les écrans MD */ @media (max-width: 991px) { html { font-size: 12px; } } /* Point de rupture pour les écrans SM */ @media (max-width: 767px) { html { font-size: 10px; } } /* Point de rupture pour les écrans XS */ @media (max-width: 576px) { html { font-size: 8px; } } @media (max-width: 450px) { html { font-size: 8px; } } et j'aimerais tout réadapter pour obtenir la même navbar mais verticalement pour cette page : <?php use DB\DataBaseManager; $manager = new DataBaseManager(); $artistDB = $manager->getArtistDB(); $liste_artistes = $artistDB->findAll(); $pageSize = 10; $page = isset($_GET['page']) ? intval($_GET['page']) : 1; $offset = ($page - 1) * $pageSize; $sonDB = $manager->getSonDB(); $liste_sons = $sonDB->findAll($offset, $pageSize); $genreDB = $manager->getGenreDB(); $liste_genres = $genreDB->findAll(); $utilisateurDB = $manager->getUtilisateurDB(); $liste_utilisateurs = $utilisateurDB->findAll(); $playlistDB = $manager->getPlaylistDB(); $liste_playlists = $playlistDB->findAll(); $albumDB = $manager->getAlbumDB(); $liste_albums = $albumDB->findAll(); ?> <aside> <div class="left"> <a href="index.php?action=accueil" class="btn-retour"> <svg width="45" height="39" viewBox="0 0 45 39" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M19.5 3L3 19.5M3 19.5L19.5 36M3 19.5H41.5" stroke="#FEFCE1" stroke-width="5.5" stroke-linecap="round" stroke-linejoin="round"/> </svg> Retour application </a> <nav> <ul> <li> <a href="" id="goToMenuPrincipal"> <svg width="27" height="17" viewBox="0 0 27 17" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M1.83325 1.2085H25.1666M1.83325 8.50016H25.1666M1.83325 15.7918H25.1666" stroke="#010101" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Menu principal </a> </li> <li> <a href="" id="goToArtistes"> <svg width="30" height="23" viewBox="0 0 30 23" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M23.9866 21.7082H26.1667C27.7775 21.7082 29.1809 20.3606 28.6692 18.8332C27.8893 16.5055 25.9706 15.0979 22.5977 14.6103M18.146 9.84388C18.5703 9.97801 19.0564 10.0415 19.6042 10.0415C22.0347 10.0415 23.25 8.7915 23.25 5.6665C23.25 2.5415 22.0347 1.2915 19.6042 1.2915C19.0564 1.2915 18.5703 1.355 18.146 1.48913M10.8542 14.4165C16.6277 14.4165 19.4474 16.1838 20.1527 19.7183C20.3689 20.8015 19.4379 21.7082 18.3333 21.7082H3.375C2.27043 21.7082 1.33943 20.8015 1.5556 19.7183C2.26098 16.1838 5.08064 14.4165 10.8542 14.4165ZM10.8542 10.0415C13.2847 10.0415 14.5 8.7915 14.5 5.6665C14.5 2.5415 13.2847 1.2915 10.8542 1.2915C8.42361 1.2915 7.20833 2.5415 7.20833 5.6665C7.20833 8.7915 8.42361 10.0415 10.8542 10.0415Z" stroke="#FEFCE1" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Artistes </a> </li> <li> <a href="" id="goToSons"> Sons </a> </li> <li> <a href="" id="goToGenres"> <svg width="29" height="29" viewBox="0 0 29 29" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M5.75 14.5C5.75 11.2613 7.50962 8.43351 10.125 6.92059M23.25 14.2123C23.25 17.451 21.4904 20.2788 18.875 21.7917M27.625 14.5C27.625 21.7487 21.7487 27.625 14.5 27.625C7.25126 27.625 1.375 21.7487 1.375 14.5C1.375 7.25126 7.25126 1.375 14.5 1.375C21.7487 1.375 27.625 7.25126 27.625 14.5ZM17.4167 14.5C17.4167 16.1108 16.1108 17.4167 14.5 17.4167C12.8892 17.4167 11.5833 16.1108 11.5833 14.5C11.5833 12.8892 12.8892 11.5833 14.5 11.5833C16.1108 11.5833 17.4167 12.8892 17.4167 14.5Z" stroke="#FEFCE1" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Genres </a> </li> <li> <a href="" id="goToUtilisateurs"> <svg width="23" height="27" viewBox="0 0 23 27" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M18.2405 24.7722C19.8065 24.7722 21.1404 23.4819 20.7854 21.9567C19.9025 18.1628 16.9499 16.2658 11.1519 16.2658C5.35387 16.2658 2.40129 18.1628 1.51836 21.9567C1.16341 23.4819 2.49732 24.7722 4.06329 24.7722H18.2405Z" stroke="#7F7E70" stroke-width="2.83544" stroke-linecap="round" stroke-linejoin="round"/> <path fill-rule="evenodd" clip-rule="evenodd" d="M11.1519 12.0127C13.9873 12.0127 15.4051 10.5949 15.4051 7.05063C15.4051 3.50633 13.9873 2.08861 11.1519 2.08861C8.31645 2.08861 6.89873 3.50633 6.89873 7.05063C6.89873 10.5949 8.31645 12.0127 11.1519 12.0127Z" stroke="#7F7E70" stroke-width="2.83544" stroke-linecap="round" stroke-linejoin="round"/> </svg> Utilisateurs </a> </li> <li> <a href="" id="goToPlaylists"> <svg width="16" height="16" viewBox="0 0 16 16" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M1 3C1 1.89543 1.89543 1 3 1H4C5.10457 1 6 1.89543 6 3V4C6 5.10457 5.10457 6 4 6H3C1.89543 6 1 5.10457 1 4V3Z" stroke="#FEFCE1" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> <path d="M10 3C10 1.89543 10.8954 1 12 1H13C14.1046 1 15 1.89543 15 3V4C15 5.10457 14.1046 6 13 6H12C10.8954 6 10 5.10457 10 4V3Z" stroke="#FEFCE1" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> <path d="M1 12C1 10.8954 1.89543 10 3 10H4C5.10457 10 6 10.8954 6 12V13C6 14.1046 5.10457 15 4 15H3C1.89543 15 1 14.1046 1 13V12Z" stroke="#FEFCE1" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> <path d="M10 12C10 10.8954 10.8954 10 12 10H13C14.1046 10 15 10.8954 15 12V13C15 14.1046 14.1046 15 13 15H12C10.8954 15 10 14.1046 10 13V12Z" stroke="#FEFCE1" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Playlists </a> </li> <li> <a href="" id="goToAlbums"> <svg width="27" height="27" viewBox="0 0 27 27" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M8.8125 21.8333C8.8125 24.1345 7.06361 26 4.90625 26C2.74889 26 1 24.1345 1 21.8333C1 19.5321 2.74889 17.6667 4.90625 17.6667C7.06361 17.6667 8.8125 19.5321 8.8125 21.8333ZM8.8125 21.8333V3.57439C8.8125 3.05949 9.20349 2.62875 9.71598 2.57906L24.9035 1.10633C25.4912 1.04934 26 1.51124 26 2.10166V20.1667M26 20.1667C26 22.4679 24.2511 24.3333 22.0938 24.3333C19.9364 24.3333 18.1875 22.4679 18.1875 20.1667C18.1875 17.8655 19.9364 16 22.0938 16C24.2511 16 26 17.8655 26 20.1667Z" stroke="#FEFCE1" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> Albums </a> </li> </ul> <div class="active-square" id="activeSquare"></div> </nav> <div class="actions"> <svg width="20" height="20" viewBox="0 0 20 20" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M10 6V14M14 10H6M10 19C14.9706 19 19 14.9706 19 10C19 5.02944 14.9706 1 10 1C5.02944 1 1 5.02944 1 10C1 14.9706 5.02944 19 10 19Z" stroke="#E2FF08" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/> </svg> </div> </div> </aside> @font-face { font-family: 'Kicker'; src: url('../fonts/kicker-black/KickerTrial-Black.ttf') format('truetype'); font-weight: 100; font-style: normal; } @font-face { font-family: 'Kicker'; src: url('../fonts/kicker-black/KickerTrial-BlackItalic.ttf') format('truetype'); font-weight: 100; font-style: italic; } @font-face { font-family: 'Kicker'; src: url('../fonts/kicker-bold/KickerTrial-BlackSlanted.ttf') format('truetype'); font-weight: 200; font-style: normal; } @font-face { font-family: 'PP Mori'; src: url('../fonts/pp-mori/PPMori-ExtraLight.otf') format('truetype'); font-weight: 100; font-style: normal; } @font-face { font-family: 'PP Mori'; src: url('../fonts/pp-mori/PPMori-ExtraLightItalic.otf') format('truetype'); font-weight: 100; font-style: italic; } @font-face { font-family: 'PP Mori'; src: url('../fonts/pp-mori/PPMori-Regular.otf') format('truetype'); font-weight: 200; font-style: normal; } @font-face { font-family: 'PP Mori'; src: url('../fonts/pp-mori/PPMori-RegularItalic.otf') format('truetype'); font-weight: 200; font-style: italic; } @font-face { font-family: 'PP Mori'; src: url('../fonts/pp-mori/PPMori-SemiBold.otf') format('truetype'); font-weight: 300; font-style: normal; } @font-face { font-family: 'PP Mori'; src: url('../fonts/pp-mori/PPMori-SemiBoldItalic.otf') format('truetype'); font-weight: 300; font-style: italic; } *{ margin: 0; padding: 0; box-sizing: border-box; } :root { --yellow: #E2FF08; --text-color: #FEFCE1; --text-color-secondary: #7F7E70; --background-color: #000000; --background-secondary: #070808; } body{ background-color: var(--background-color); position: relative; display: flex; justify-content: space-between; font-family: 'PP Mori', sans-serif; min-height: 100vh; max-width: 100vw; overflow-x:hidden; } nav{ position: relative; display: flex; flex-direction: column; background-color: var(--background-secondary); border-radius: 1rem; padding: 1rem; height: 5.1875rem; min-height: 5.1875rem; align-self: flex-start; } nav ul{ display: flex; flex-direction: column; gap: 0.85rem; height: 100%; list-style: none; z-index: 2; } nav ul li{ list-style-type: none; } nav .active-square{ position: absolute; width: 11.25rem; top:0.8rem; height: 3.5rem; z-index: 0; left: 1rem; background-color: var(--yellow); border-radius: 0.8rem; } nav ul li a { width: 11.25rem; text-decoration: none; color: var(--text-color); gap:0.7rem; height: 100%; display: flex; justify-content: center; align-items: center; white-space: nowrap; text-wrap: nowrap; font-size: 1rem; } nav ul li a svg{ position: relative; bottom: 3%; height: 1.3rem; } body .left{ width: 100%; display: flex; gap:2rem; flex-direction: column; } body .left nav{ align-self: flex-start; display: flex; flex-direction: column; gap: 4.7rem; } body .left img{ align-self: flex-start; }
5b85a2f427a0ba75b0d62e8455d3de4a
{ "intermediate": 0.3810698688030243, "beginner": 0.47624674439430237, "expert": 0.14268337190151215 }
38,700
Migrate ths code to the latest openai api # Import necessary modules import openai import json import subprocess import base64 import time # Define a function to create base64 encoded image def image_b64(image): with open(image, 'rb') as f: return base64.b64encode(f.read()).decode('utf-8') # Set up API key and model for GPT-3.5 Turbo openai.api_key = "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" model = "text-davinci-003" # Function to interact with ChatGPT using GPT-3.5 Turbo def chat_gpt(messages): response = openai.Completion.create( engine=model, messages=messages, max_tokens=150 ) return response.choices[0].text.strip() # Function to perform web crawling using Puppeteer def crawl_website(url): try: result = subprocess.run(["node", "screenshot.js", url], capture_output=True, text=True, timeout=30) if result.returncode != 0: return None return result.stdout.strip() except Exception as e: return None # Function to initiate the vision-based interaction def vision_interaction(prompt): messages = [{"role": "system", "content": "You are a web crawler. Provide a URL to find the answer."}, {"role": "user", "content": prompt}] while True: response = chat_gpt(messages) if "answer not found" in response.lower(): messages.append({"role": "user", "content": "I was unable to find the answer on that website. Please pick another one."}) else: break url_to_crawl = json.loads(response).get("url") if url_to_crawl: screenshot_path = crawl_website(url_to_crawl) if screenshot_path: image_url = image_b64(screenshot_path) vision_response = chat_gpt([{"role": "user", "content": f"What is shown in this image?\nImage URL: {image_url}"}]) answer = json.loads(vision_response).get("choices", [{}])[0].get("message", {}).get("content", "") if "answer not found" in answer.lower(): messages.append({"role": "user", "content": "I was unable to find the answer in the image. Please try again."}) else: messages.append({"role": "assistant", "content": answer}) return messages # Example usage user_prompt = input("Enter your question: ") result_messages = vision_interaction(user_prompt) for message in result_messages: print(f"{message['role'].capitalize()}: {message['content']}")
673d045f441ad03422b93f9f5e1dcd68
{ "intermediate": 0.36054566502571106, "beginner": 0.5136082172393799, "expert": 0.12584613263607025 }
38,701
Esorb Inc. is a company that started in 1908 and has become an international successful company with about 26,000 employees at 62 locations in 23 countries. It started as a trading company for automobile accessories and eventually expanded into the production of automobile components in Germany. In the 1950s Esorb manufactured handles, hatches, hinges, latches, sun visors, defrostable windows and canisters. They were the first company to produce power windows starting in the 1960s. They eventually started producing seat recliners and adjustable back rests for automobiles. By the 1970s they were the first to produce power seat adjusters and electronic control-units for power window regulators in the 1980s. At the end of the nineties ESORB had production sites in Germany, England, Spain, America, Mexico, Japan and France. By 2005 ESORB had 8900 employees in 37 locations and in 19 different countries. Throughout the years ESORB continued to strive for lightweight design to optimize fuel efficiency and CO2 emissions. In 2008 ESORB added electric drives for window regulators, sunroofs and seatbelt retractors to its product range. In 2009 it formed joint ventures in China and Thailand to start production in those locations. In 2011 ESORB entered a joint venture in South Korea. In 2014 they built new facilities in South Africa. Now in 2022 the core competence of Esorb Inc. is the production of technology for doors and liftgates, adjustment systems for front and rear seats and electric motors and drives. Esorb Inc. strives to play active roles in shaping the social environment. They use environmentally friendly technology and are involved in the communities they are in. They are involved with food drives, habitat for humanity and mental health charities. They are committed to protecting the health and safety of their employees. The principles of ESORB Inc are: putting the company’s interest ahead of their own, to be innovative to secure leading market position and best price-performance ratio, acting fairly towards employees on all levels and in all locations, delivering top performance to their customers, all stakeholders act as one team with trust, making fast decisions and assuming responsibility for their actions. In 2005 ESORB Inc started two plants in London, Ontario, Canada. There are currently over 400 employees who work in production, skilled trades, administration and management in London, Ontario. In 2005 ESORB mainly produced seat adjusters, seat components and doors systems. Now they focus on the production of seat systems. ESORB in London, Ontario’s main customers are Volkswagon, Ford, and Chrylser. The London, Ontario plant has received the London Chamber of Commerce Excellence in Human Resources Award, Ivey Academy Manufacturer of the Year, ASQ Quality Award of Excellence, London Economic Leadership Award, the FCA supplier of the Year Award, Volkswagon “A: Rating and Ford Q1 Certification. As ESORB is a global company, they manage the procurement of production materials, services and capital equipment through a global sourcing network. They impose challenging standards on suppliers. In return they offer stable relationship with growth prospects with their suppliers. Christine Jackson, a buyer at ESORB in London, Ontario, has sent out requests for quotations for a wiring harness they use in their doors for a new automobile model. Marketing estimates that the demand for harness is 5,000 units a month in year one with a 20% growth expected for year two. The chosen supplier will incur some costs to retool for this particular harness. The harness will be prepackaged in 24 x 12 x 6 inch cartons. Each packaged unit weighs approximately 10 pounds. As with most automotive component companies, adequate supplier capacity is a critical issue. Taking a lesson from the demands placed on it by its current customers, Esorb Inc. will seek some assurance from its suppliers that they can increase the supply of components by 25% within four week’s notice of changing market conditions. Supplier responsiveness and ability to satisfy Esorb Inc.’s volume requirements will be critical. Wire Harness Market Information Esorb Inc. recognizes that demand is growing rapidly, although actual numbers are difficult to obtain. One of the challenges ESORB faces, and perhaps a major reason why ESORB may want to quickly “lock in” supplier capacity, is that other products use similar wire harnesses as are used in the doors and liftgates and cars are having more and more components that are powered and require wire harnesses. In sum, ESORB Inc must share their market with the growing power and automotive market, and assess their relative leverage in the market given other market demands for the wire harnesses. ESORB Inc is targeting the price of this particular wire harness at $30. This is not unreasonable given current market pricing. However, the market for wire harnesses extends well beyond the automotive industry, and is not without its share of uncertainty and disruptions. In the automotive industry, today's customers demand defect-free products. With intense price competition and narrow profit margins, a single product defect, particularly when the automobile is in the customers' hands, can "wipe out" any profit from the sale. Poor quality will also adversely affect market reputation and future sales. Although exact numbers are difficult to obtain, financial analysts at Esorb Inc. calculate, based on experience and assumptions, that each defect will result, on average, in $130 in non-conformance costs that Esorb Inc. must bear (including lost customer goodwill). The company plans to introduce the new line of door technology to the market place in March 2023. It must have inventory by January 2019 to begin process proving and pilot production. The March date coincides with preparing for the new model year sales season. It is now early August 2022. Esorb Inc. relies on cross-functional commodity teams to develop sourcing strategies for key purchased items. This team is led by buyer Christine Jackson. Executive management views the supplier selection decision as a critical part of the new door technology development. The commodity team has spent the last several weeks visiting four wire harness suppliers and is currently evaluating various supply options. The team expects to begin negotiation with one or more suppliers within the next several weeks. Information regarding the suppliers under consideration is presented in the following section. THE SUPPLY ALTERNATIVES The team developed a market analysis of wire harness suppliers, and narrowed their search to four specific suppliers. Requests for quotations for the wiring harness were sent to the four prospective suppliers. These four suppliers were selected as final contenders based on: a) cost competitiveness given ESORBs initial target cost, and/or b) location proximity to ESORB’s London, Ontario assembly site. The team was somewhat divided, as some members felt that ESORB should globalize its sourcing initiatives, while others felt that local suppliers would be a better choice in terms of working arrangements. Engineering supported the commodity team's preliminary efforts by purchasing off-the-shelf wire harness’s for testing. This helped determine if the suppliers had a product that initially satisfied ESORB’s expectations. Relying on product samples, while providing preliminary insight into the capability and technology of each supplier, was not sufficient to support a final supplier selection decision. Hence, the need for direct visits by the commodity team became apparent. The team decided to visit the four suppliers directly to collect detailed information. The visits ranged from one to two days each, with both visits completed within a two-week period. These visits were time-consuming and exhausting, particularly since two suppliers are in China. Esorb Inc. does not have an International Purchasing Office (IPO) to support its international procurement activities. Furthermore, no one on the team spoke Chinese. Fortunately, the other suppliers are located in the Ontario and were much easier to visit. In fact they were located only 50 kilometers from the ESORB’s assembly facility. The following sections summarize data collected during the commodity team's visits to the two suppliers. All Wired Up The first quote received was received from All Wired Up in Woodstock, Ontario. Woodstock is about 50 kilometers from ESORB’s facility so the quote was delivered in person. When Christine and the buying team toured their facility they were greeted by the sales agent and an engineering representative. While touring the facility the sales agent noted that engineering would be happy to work closely with ESORB in developing the unit and would also be interested in future business that might involve finding ways to reduce costs. The sales agent also noted that they were hungry for business, as they were losing a lot of customers to companies from China. The quote included unit price, tooling and packaging. The quoted unit price does not include shipping costs. All Wired Up requires no special warehousing of inventory, and daily deliveries from its manufacturing site directly to ESORB’s assembly operation are possible. During the team's visit the plant manager claimed that capacity was not an issue, and that the company would be willing to commit the required production capacity to the ESORB contract. Similar wiring harnesses accounted for about 40% of All Wired Up's $60 million in 2021 sales. The plant is currently at 90% capacity. The plant manager pointed out that the company has committed significant resources to setting up a JIT production system for the wiring harness line. Indeed, the ESORB team was impressed with the performance of the kanban signals and flow-through workstations. All Wired Up also had a solid reputation within the industry for working with its customers on future product development. Upon visiting the quality department, the quality manager seemed particularly preoccupied and "on edge." When the plant manager left for a few minutes to answer a phone call, the group asked the quality manager if the company had experienced any significant problems recently. He confessed that the last shipment of Wiring Harnesses had several quality problems, and the number of returns from large distributors had increased dramatically. This was creating some fairly severe disruptions to production scheduling and delivery. However, he assured the ESORB team that the design engineers were working full-time on the problem and that it would be solved well before ESORB placed an order. When the plant manager returned, the quality manager made no further mention of the problem. The plant manager estimated that the ramp-up time for the first shipment would be very short, approximately 3 months. Unit price = $30 CAD Packaging costs = $0.75 per unit Tooling = $6,000 one-time fixed charge Freight cost = $5.20 per hundred pounds On-time delivery record = 99.0% Quality = 4,000 PPM defects Good Luck Assemblies The second quote received is from Good Luck Assemblies (GLA) of Guangdong Province, China. The supplier must pack the harnesses in a container and ship via inland transportation to the port of Shanghai in China, have the shipment transferred to a container ship, ship material to Halifax Nova Scotia, and then have material transported inland to London. The quoted unit price does not include international shipping costs, which the buyer will assume. GLA was the largest supplier the team visited (sales of $1 billion). The plant covered ten acres, with a wide variety of automotive components produced in the facility. Wiring harnesses represent a large segment of GLA production (GLA commits 15% of total capacity to wiring harnesses and derives 15 % of revenues from the sales of these power systems). Because of its size, however, the company seemed most interested in large contracts ($1 million or more annually). The plant is currently at 97% capacity. The highest-ranking manager that met with the ESORB team was a sales manager, who took the team to visit various departments. The division vice-president and plant manager were in conference with a wiring harness customer, who the ESORB team found out had formed a strategic supply alliance with GLA. The ESORB commodity team felt a bit "snubbed" at the facility, particularly the group's female members. The facility was efficient, spotless, and modern. When the team visited engineering, they spoke with a manager in design. The engineer estimated, based on previous experience, that the ramp-up time to begin production that would satisfy Esorb’s specifications would be about 2 months The sales manager was particularly proud of GLA’s new Internet-based electronic data ERP system. This system allowed direct communication with customers. He was also proud that GLA was "the price leader" for the industry, and was producing Wiring Harnesses for several of the major automotive companies. He also talked about the company's extensive investment in research and development. When the sales manager heard that the Wiring Harness order, based on 60,000 units in year one, would likely not exceed $2 million per year, he hesitated, saying that he would need to discuss the order with management. Moreover, he indicated that the company typically was not interested in orders of less than $10 million per annum, but that exceptions might be possible. The economics associated with large orders is what made GLA a low-cost producer. GLA Quote: Unit Price = $19.50 CAD (quoted at $1 CAD = 5.09 Chinese Yen) Shipping lead time = Eight weeks Tooling = $3,000 CAD On-time delivery record = 95% on-time (for large customers) Quality = 9,500 PPM defects Ramp-up time = 2 months In additional to the supplier’s quote, Christine must consider additional costs and information before preparing a comparison of the Chinese supplier’s quotation: • Each monthly shipment requires three 40-foot containers. • Packing costs for the containerization = $2 per unit. • Cost of inland transportation to port export = $200 per container. • Freight forwarder’s fee = $100 per shipment (letter of credit, documentation, etc.) • Cost of ocean transport = $4,000 per container. This has risen significantly in recent years due to a shortage of ocean freight capacity. • Marine insurance = $0.50 per $100 of shipment • CAD port handling charges = $1,200 per container. This fee has also rise considerably this year, due to increased security. Ports have also been complaining that the charges may increase in the future. • Customs duty = 5% of unit cost. • Customs broker fees per shipment = $300 • Transportation from Halifax to London = $18.60 per hundred pounds. • Need to warehouse at least four weeks of inventory in London at a warehousing cost of $1.00 per cubic foot per month, to compensate for lead time uncertainty • Costs associated with committing corporate capital for holding inventory 15% per year • Cost of hedging currency – broker fees = $400 shipment • Estimated additional administrative time due to international shipping = 4 hours per shipment x $25 per hour • At least two five-day visits per year to travel to China to meet with supplier and provide updates on performance and shipping = $20,000 per year (estimated) Amissiontech Co. Amissiontech Co, is also a Chinese company located in Guangdon, China. Amissiontech provided a bid of $21.50 CAD per unit. During the team's visit the plant manager claimed that capacity was not an issue, and that the company would be willing to commit the required production capacity to the Wiring Harness contract. Similar Wiring Harnesses accounted for about 40% of Amissiontech's $30 million in 2021 sales. The plant was currently at 90% capacity. The commodity team felt much more comfortable at Amissiontech than at the other Chinese supplier’s. While this supplier has minimal experience doing business with North American firms, the company seemed quite anxious for the contract. The company has several large Taiwanese and Japanese automotive manufacturers as customers. At this time Amissiontech has no Canadian facilities or support staff. The team had some concerns about becoming Amissiontech’s first major North American customer. The company's product was excellent. Every Wiring Harness system went through an extensive testing procedure that assured few problems would occur. In fact, Amissiontech’s process control and testing were more thorough than any other supplier the team visited. However, the combination of the testing process and geographic distance meant that delivery cycle times were much longer, up to 9 weeks per order, although the on-time delivery performance for the facility was excellent. The team was not sure if current Asian delivery performance would be indicative of delivery performance to the Canada. The facility appeared well maintained, clean, and orderly. The team noticed that the wiring harness facility was extremely busy and wondered if the plant manager's claim about adequate capacity was accurate. All employees worked closely together in work cells and knew each other by name. Industry experts viewed Amissiontech as one of the most promising and dynamic companies in the industry. The ramp-up time for the delivery of the first shipment was quoted as 3 months. Relevant Amissiontech data include: Quoted price = $21.50 (quoted at $1 CAD = 5.09 Chinese Yen) Shipping Lead Time = 9 weeks On-time delivery record = 99.0% Quality = 4,000 PPM defects Tooling = $2,500 CAD Ramp Up time = 3 months In additional to the supplier’s quote, Christine must consider additional costs and information before preparing a comparison of the Chinese supplier’s quotation: • Each monthly shipment requires three 40-foot containers. • Packing costs for the containerization = $2 per unit. • Cost of inland transportation to port export = $200 per container. • Freight forwarder’s fee = $100 per shipment (letter of credit, documentation, etc.) • Cost of ocean transport = $4,000 per container. This has risen significantly in recent years due to a shortage of ocean freight capacity. • Marine insurance = $0.50 per $100 of shipment • CAD port handling charges = $1,200 per container. This fee has also rise considerably this year, due to increased security. Ports have also been complaining that the charges may increase in the future. • Customs duty = 5% of unit cost. • Customs broker fees per shipment = $300 • Transportation from Halifax to London = $18.60 per hundred pounds. • Need to warehouse at least four weeks of inventory in London at a warehousing cost of $1.00 per cubic foot per month, to compensate for lead time uncertainty • Costs associated with committing corporate capital for holding inventory 15% per year • Cost of hedging currency – broker fees = $400 shipment • Estimated additional administrative time due to international shipping = 4 hours per shipment x $25 per hour • At least two five-day visits per year to travel to China to meet with supplier and provide updates on performance and shipping = $20,000 per year (estimated) TCP Cable A fourth candidate for the contract is TCP Cable, a manufacturer located in Cambridge, Ontario. Over the past 5 years, TCP Cable has earned the reputation of providing its clients the highest level of service coupled with the highest quality of workmanship. TCP derives 50% of its $25 million in revenues from automotive wire harnesses. The team discovered this company almost by accident. A team member was browsing a trade journal and saw TCP’s advertisement. When the team visited the facility, the team was surprised at its small size and by the fact that it is located in an old warehouse. TCP’s president met with the team in person. He explained that he was a graduate of Waterloo University in electrical engineering and had decided to start his own company after working for 15 years. The company entered the wire harness market four years ago and has been producing a similar wire harness for just over a year. During this time, however, TCP has established a reputation for delivery reliability and innovation. The president explained that TCP’s success was based largely on its commitment to develop new technology, especially technology that enhanced product reliability. He also claimed that he knew every customer personally. Electronics Weekly had praised the company’s products in several recent editions. However, the company was definitely a small growing entity (with less than 4% of global market share), but they expressed their intent to focus more on the Wire Harnesses. The plant was currently at 88% capacity. Everyone in the plant seemed highly motivated, and, except for the president, the team did not see any person who appeared over the age of 35. The president was particularly excited about the possibility of working with ESORB, and promised to work with them closely on this contract and for any new product lines. In particular, he emphasized that automotive electronics technology was improving and that the automation market was another sector that would continue to expand in the future. Ramp-up time for the wire harness would be approximately 3.5 months. TCP Cable requires no special warehousing of inventory, and daily deliveries from its manufacturing site directly to ESORB’s assembly operation are possible. When asked if his firm would have any problem in meeting demand should they receive the contract, he hesitated before answering. He admitted that this contract would be the largest in TCP’s relatively short history. He also indicated that several other buying teams were also going to be sending teams to evaluate TCP within the next week. However, he assured the team that he would do whatever it took to maintain reliable delivery schedules if TCP received the contract. Interestingly, it appeared that the production lines were experiencing some problems during the team's visit, as they were shut down for nearly four hours! Relevant TCP data include: Unit price = $28 CAD Packaging costs = $0.80 per unit Tooling = $5,000 one-time fixed charge Freight cost = $5.00 per hundred pounds On-time delivery record = 95.0% Quality = 4,500 PPM defects Read and provide Immediate Issue and Other Issues of the above case study
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Aims The aims of this project are as follows: To encourage you to use regular expressions to implement a trivial scanner. To make you implement a recursive-descent parser for a small language. To use JSON to represent the results of parsing. Requirements Use the implementation of either java, node or python3 available on remote.cs to implement a parser for the following language of which is a subset of the syntax used for elixir data literals. (You may also use a language like TypeScript which compiles to one of these languages as long as you provide all the steps needed to compile that language to one of the above languages). A sentence in the language consists of a sequence of zero-or-more data-literal's. A data-literal is either a list literal, a tuple literal, a map literal, or a primitive literal. A primitive literal is either an integer, atom or boolean. A list literal is a sequence of 0-or-more comma-separated data-literal's within square brackets [ and ]. A tuple literal is a sequence of 0-or-more comma-separated data-literal's within braces { and }. A map literal is a sequence of 0-or-more comma-separated key-pair's within a decorated left brace %{ and a regular right brace }. A key-pair is either a sequence consisting of a data-literal, a right-arrow => followed by a data-literal, or a sequence consisting of a key followed by a data-literal. An integer consists of a sequence of one-or-more digits, possibly containing internal underscores _. An atom consists of a colon :, followed by an alphabetic character or underscore _ followed by a sequence of zero-or-more alphanumeric characters or underscores _. A key is just like an atom but the : must be at the end instead of the start. A boolean is one of the words true or false. Whitespace and #-to-end-of-line comments should be ignored. Note that a map literal of the form %{ key: 22 } is syntactic sugar for %{ :key => 22 }. You will specifically need to submit a zip-archive which unpacks into a prj1-sol directory minimally containing two shell scripts make.sh and run.sh: Running make.sh from any directory should build any artifacts needed to run your program within the prj1-sol directory. Running run.sh from any directory should read and parse a sentence of the above language from standard input and output on standard output a single line containing the JSON representation of the parse. Different kinds of data literals should be output as a JSON object having two properties: %k The kind of the literal, as defined below. %v The value of the literal, as defined below. The top-level JSON should consist of a JSON list containing the JSON representations of the top-level data-literal's read from standard input. The JSON representation of the different kind of literals should be as follows: An integer has the JSON representation { "%k": "int", "%v": value } where value is a JSON integer respresenting the value of the integer. For example, the integer 123 should have the JSON representation { "%k": "int", "%v": 123 }. An atom has the JSON representation { "%k": "atom", "%v": value } where value is a JSON string spelling out the atom. For example, the atom :_a32 should have the JSON representation { "%k": "atom", "%v": ":_a32" }. A boolean has the JSON representation { "%k": "bool", "%v": value } where value is a JSON boolean representing the value of the boolean. For example, the boolean true should have the JSON representation { "%k": "bool", "%v": true }. A key has the JSON representation { "%k": "atom", "%v": value } where value is a JSON string spelling out the key lexeme, but with the : moved to the front. For example, the key abc: should have the JSON representation { "%k": "atom", "%v": ":abc" }. A list has the JSON representation { "%k": "list", "%v": value } where value is a JSON list containing the JSON representations of the individual items in the list. For example, the list [ 1, 2 ] should have the JSON representation: { "%k": "list", "%v": [ { "%k": "int", "%v": 1 }, { "%k": "int", "%v": 2 } ] } A tuple has the JSON representation { "%k": "tuple", "%v": value } where value is a JSON list containing the JSON representations of the individual items in the tuple. For example, the tuple { 1, :k } should have the JSON representation: { "%k": "tuple", "%v": [ { "%k": "int", "%v": 1 }, { "%k": "atom", "%v": ":k" } ] } A map has the JSON representation { "%k": "map", "%v": value } where value is a JSON list containing the 2-element JSON lists representing the individual elements in the map. For example, the map %{ :a => 22, b: 33 } should have the JSON representation: { "%k": "map", "%v": [ [ { "%k": "atom", "%v": ":a" }, { "%k": "int", "%v": 22 } ], [ { "%k": "atom", "%v": ":b" }, { "%k": "int", "%v": 33 } ] ] } The JSON output should consist of a single line without any whitespace other than the newline terminator. The members of a JSON object may be output in any order. If there are errors in the content, the program should exit with a non-zero status after detecting the first syntax error. It should output a suitable error message on standard error. An annotated log of the running project and the provided tests should help clarify the above requirements. Rationale for the Requirements The requirements are based on the following rationale: The specified language is a simple language containing a subset of Elixir data literals. Implementing a parser for this language allows you to understand the basic principles of scanning and recursive-descent parsing. The make.sh and run.sh scripts allow automatic testing of your project without needing to know the details of your implementation language. The former allows the testing program to run any compilation step required by your implementation language and the latter allows the testing program to run the project. Standard Input, Standard Output, Standard Error This project requires your program to read from standard input and write its output to standard output and write error messages to standard error. These are the three I/O streams which are initially available when a program starts up under any current OS: Standard Input An input stream, initially set up to read from the console. This often corresponds to file descriptor 0. Standard Output An output stream, initially set up to output to the console. This often corresponds to file descriptor 1. Standard Error Another output stream, initially set up to output to the console. This often corresponds to file descriptor 2. So you can use these streams without needing to open any file, as they are already open. All popular languages provide access to these streams. Python sys.stdin, sys.stdout and sys.stderr refer to the three streams. sys.stdin.read() will read from standard input until EOF. print(...) or sys.stdout.write(...) will print ... to standard output (the former adds a newline). sys.stderr.write(...) or print(..., file=sys.stderr) will write ... to standard error. JavaScript nodejs 0, 1 and 2 refer to the three streams and can be used wherever a file path is expected. fs.readFileSync(0, 'utf8') will read from standard input until EOF. console.log(...) or fs.writeFileSync(1, ...) will write ... to standard output (the former adds a newline and has additional functionality). console.error(...) or fs.writeFileSync(2, ...) will write ... to standard error (the former adds a newline and has additional functionality). Java Java defines System.in, System.out and System.err for the three streams; you can then use the smorgasbord of java.io.* classes to read/write the streams. The newer java.nio.file package provides more convenient APIs. Using stdin within the Unix Shell If a program is reading interactively from standard input, then it will freeze and wait for input to be provided on the terminal: $ ./run.sh %{a: 22 } ^D #indicate EOF [{"%k":"map","%v":[[{"%k":"atom","%v":":a"},{"%k":"int","%v":22}]]}] $ The control-D is used to indicate EOF to the terminal controller. It is much more convenient to use I/O redirection in the shell: $ ./run.sh \ < ~/cs571/projects/prj1/extras/tests/50-compound-data.test \ | jq - S . > compound-data.json The \ escapes newlines to combine multiple physical lines into a single logical line; the < .../tests/50-compound-data.test redirects the contents of 50-compound-data.test to the standard input of run.sh; the | jq -S . pipes the single line output of the program to jq -S . which pretty-prints the json on its standard output (-S sorts all object keys); finally, the > compound-data.json redirects the standard output of jq to compound-data.json. Note that run.sh is totally unaware of the redirection; the shell takes care of setting up the standard input and output streams so that they are redirected to the files. For example, if run.sh is calling a python parser, then the python parser can continue using sys.stdin and sys.stdout. Before Starting Your Project Before starting this project, set up a symlink to the course repository under your home directory on remote.cs: $ cd ~ #ensure you are in your home directory $ ln -s ~umrigar/cs571 . #set up symlink $ ls cs571 #list files You should see the top-level files and directories in the course repository. Note that the above symlink will always reflect the current contents of the course repository. It is also probably a good idea to set up a work directory on remote.cs. $ mkdir -p ~/i571/submit Then use the ~/i571 directory for any personal work for the course and the ~/i571/submit directory for work to be submitted. For example, you might do the work for this project in ~/i571/submit/prj1-sol. If you are familiar with git, it is probably a good idea to create a git respository for your ~/i571 directory. Submission You are required to submit a zip-archive such that unpacking that archive will result in at least the two following files prj1-sol/make.sh prj1-sol/run.sh The unpacked prj1-sol directory should contain all other source files needed to build and run your project. Note that it must not contain files like *.class files which are built by make.sh. Important Note: Unfortunately, gradescope removes execute permissions when unpacking the zip archive. So you cannot set up your run.sh script to run interpeter files directly. So for example, a run.sh which contains the line $dir/elixir-literal.mjs will not work, you will need to use node $dir/elixir-literal.mjs. Similarly, for Python use python3 $dir/elixir-literal.py instead of $dir/elixir-literal.py.
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{ "intermediate": 0.5198729038238525, "beginner": 0.3462044596672058, "expert": 0.13392266631126404 }
38,703
Aims The aims of this project are as follows: To encourage you to use regular expressions to implement a trivial scanner. To make you implement a recursive-descent parser for a small language. To use JSON to represent the results of parsing. Requirements Use the implementation of either java, node or python3 available on remote.cs to implement a parser for the following language of which is a subset of the syntax used for elixir data literals. (You may also use a language like TypeScript which compiles to one of these languages as long as you provide all the steps needed to compile that language to one of the above languages). A sentence in the language consists of a sequence of zero-or-more data-literal's. A data-literal is either a list literal, a tuple literal, a map literal, or a primitive literal. A primitive literal is either an integer, atom or boolean. A list literal is a sequence of 0-or-more comma-separated data-literal's within square brackets [ and ]. A tuple literal is a sequence of 0-or-more comma-separated data-literal's within braces { and }. A map literal is a sequence of 0-or-more comma-separated key-pair's within a decorated left brace %{ and a regular right brace }. A key-pair is either a sequence consisting of a data-literal, a right-arrow => followed by a data-literal, or a sequence consisting of a key followed by a data-literal. An integer consists of a sequence of one-or-more digits, possibly containing internal underscores _. An atom consists of a colon :, followed by an alphabetic character or underscore _ followed by a sequence of zero-or-more alphanumeric characters or underscores _. A key is just like an atom but the : must be at the end instead of the start. A boolean is one of the words true or false. Whitespace and #-to-end-of-line comments should be ignored. Note that a map literal of the form %{ key: 22 } is syntactic sugar for %{ :key => 22 }. You will specifically need to submit a zip-archive which unpacks into a prj1-sol directory minimally containing two shell scripts make.sh and run.sh: Running make.sh from any directory should build any artifacts needed to run your program within the prj1-sol directory. Running run.sh from any directory should read and parse a sentence of the above language from standard input and output on standard output a single line containing the JSON representation of the parse. Different kinds of data literals should be output as a JSON object having two properties: %k The kind of the literal, as defined below. %v The value of the literal, as defined below. The top-level JSON should consist of a JSON list containing the JSON representations of the top-level data-literal's read from standard input. The JSON representation of the different kind of literals should be as follows: An integer has the JSON representation { "%k": "int", "%v": value } where value is a JSON integer respresenting the value of the integer. For example, the integer 123 should have the JSON representation { "%k": "int", "%v": 123 }. An atom has the JSON representation { "%k": "atom", "%v": value } where value is a JSON string spelling out the atom. For example, the atom :_a32 should have the JSON representation { "%k": "atom", "%v": ":_a32" }. A boolean has the JSON representation { "%k": "bool", "%v": value } where value is a JSON boolean representing the value of the boolean. For example, the boolean true should have the JSON representation { "%k": "bool", "%v": true }. A key has the JSON representation { "%k": "atom", "%v": value } where value is a JSON string spelling out the key lexeme, but with the : moved to the front. For example, the key abc: should have the JSON representation { "%k": "atom", "%v": ":abc" }. A list has the JSON representation { "%k": "list", "%v": value } where value is a JSON list containing the JSON representations of the individual items in the list. For example, the list [ 1, 2 ] should have the JSON representation: { "%k": "list", "%v": [ { "%k": "int", "%v": 1 }, { "%k": "int", "%v": 2 } ] } A tuple has the JSON representation { "%k": "tuple", "%v": value } where value is a JSON list containing the JSON representations of the individual items in the tuple. For example, the tuple { 1, :k } should have the JSON representation: { "%k": "tuple", "%v": [ { "%k": "int", "%v": 1 }, { "%k": "atom", "%v": ":k" } ] } A map has the JSON representation { "%k": "map", "%v": value } where value is a JSON list containing the 2-element JSON lists representing the individual elements in the map. For example, the map %{ :a => 22, b: 33 } should have the JSON representation: { "%k": "map", "%v": [ [ { "%k": "atom", "%v": ":a" }, { "%k": "int", "%v": 22 } ], [ { "%k": "atom", "%v": ":b" }, { "%k": "int", "%v": 33 } ] ] } The JSON output should consist of a single line without any whitespace other than the newline terminator. The members of a JSON object may be output in any order. If there are errors in the content, the program should exit with a non-zero status after detecting the first syntax error. It should output a suitable error message on standard error. An annotated log of the running project and the provided tests should help clarify the above requirements. Rationale for the Requirements The requirements are based on the following rationale: The specified language is a simple language containing a subset of Elixir data literals. Implementing a parser for this language allows you to understand the basic principles of scanning and recursive-descent parsing. The make.sh and run.sh scripts allow automatic testing of your project without needing to know the details of your implementation language. The former allows the testing program to run any compilation step required by your implementation language and the latter allows the testing program to run the project. Standard Input, Standard Output, Standard Error This project requires your program to read from standard input and write its output to standard output and write error messages to standard error. These are the three I/O streams which are initially available when a program starts up under any current OS: Standard Input An input stream, initially set up to read from the console. This often corresponds to file descriptor 0. Standard Output An output stream, initially set up to output to the console. This often corresponds to file descriptor 1. Standard Error Another output stream, initially set up to output to the console. This often corresponds to file descriptor 2. So you can use these streams without needing to open any file, as they are already open. All popular languages provide access to these streams. Python sys.stdin, sys.stdout and sys.stderr refer to the three streams. sys.stdin.read() will read from standard input until EOF. print(...) or sys.stdout.write(...) will print ... to standard output (the former adds a newline). sys.stderr.write(...) or print(..., file=sys.stderr) will write ... to standard error. JavaScript nodejs 0, 1 and 2 refer to the three streams and can be used wherever a file path is expected. fs.readFileSync(0, 'utf8') will read from standard input until EOF. console.log(...) or fs.writeFileSync(1, ...) will write ... to standard output (the former adds a newline and has additional functionality). console.error(...) or fs.writeFileSync(2, ...) will write ... to standard error (the former adds a newline and has additional functionality). Java Java defines System.in, System.out and System.err for the three streams; you can then use the smorgasbord of java.io.* classes to read/write the streams. The newer java.nio.file package provides more convenient APIs. Using stdin within the Unix Shell If a program is reading interactively from standard input, then it will freeze and wait for input to be provided on the terminal: $ ./run.sh %{a: 22 } ^D #indicate EOF [{"%k":"map","%v":[[{"%k":"atom","%v":":a"},{"%k":"int","%v":22}]]}] $ The control-D is used to indicate EOF to the terminal controller. It is much more convenient to use I/O redirection in the shell: $ ./run.sh \ < ~/cs571/projects/prj1/extras/tests/50-compound-data.test \ | jq - S . > compound-data.json The \ escapes newlines to combine multiple physical lines into a single logical line; the < .../tests/50-compound-data.test redirects the contents of 50-compound-data.test to the standard input of run.sh; the | jq -S . pipes the single line output of the program to jq -S . which pretty-prints the json on its standard output (-S sorts all object keys); finally, the > compound-data.json redirects the standard output of jq to compound-data.json. Note that run.sh is totally unaware of the redirection; the shell takes care of setting up the standard input and output streams so that they are redirected to the files. For example, if run.sh is calling a python parser, then the python parser can continue using sys.stdin and sys.stdout. Before Starting Your Project Before starting this project, set up a symlink to the course repository under your home directory on remote.cs: $ cd ~ #ensure you are in your home directory $ ln -s ~umrigar/cs571 . #set up symlink $ ls cs571 #list files You should see the top-level files and directories in the course repository. Note that the above symlink will always reflect the current contents of the course repository. It is also probably a good idea to set up a work directory on remote.cs. $ mkdir -p ~/i571/submit Then use the ~/i571 directory for any personal work for the course and the ~/i571/submit directory for work to be submitted. For example, you might do the work for this project in ~/i571/submit/prj1-sol. If you are familiar with git, it is probably a good idea to create a git respository for your ~/i571 directory. Submission You are required to submit a zip-archive such that unpacking that archive will result in at least the two following files prj1-sol/make.sh prj1-sol/run.sh The unpacked prj1-sol directory should contain all other source files needed to build and run your project. Note that it must not contain files like *.class files which are built by make.sh. Important Note: Unfortunately, gradescope removes execute permissions when unpacking the zip archive. So you cannot set up your run.sh script to run interpeter files directly. So for example, a run.sh which contains the line $dir/elixir-literal.mjs will not work, you will need to use node $dir/elixir-literal.mjs. Similarly, for Python use python3 $dir/elixir-literal.py instead of $dir/elixir-literal.py.
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This project involves implementing a parser for a subset of Elixir data literals using a recursive descent parser. The goal is to create a program that can take input in the specified format and produce JSON output representing the parsed data. Here's a breakdown of the project requirements: 1. Implement a recursive descent parser for a subset of Elixir data literals. 2. Use regular expressions to implement a trivial scanner. 3. Produce JSON output representing the parsed data. 4. Use the implementation of either Java, Node, or Python3 available on remote.cs to implement the parser. 5. Provide all necessary steps to compile the chosen language to one of the above languages. 6. The parser should handle the following grammar: A sentence in the language consists of a sequence of zero-or-more data-literal's. A data-literal is either a list literal, a tuple literal, a map literal, or a primitive literal. * A list literal is a sequence of 0-or-more comma-separated data-literal's within square brackets [ and ]. * A tuple literal is a sequence of 0-or-more comma-separated data-literal's within braces { and }. * A map literal is a sequence of 0-or-more comma-separated key-pair's within a decorated left brace %{ and a regular right brace }. * A key-pair is either a sequence consisting of a data-literal, a right-arrow => followed by a data-literal, or a sequence consisting of a key followed by a data-literal. * An integer consists of a sequence of one-or-more digits, possibly containing internal underscores _. * An atom consists of a colon :, followed by an alphabetic character or underscore _ followed by a sequence of zero-or-more alphanumeric characters or underscores _. * A boolean is one of the words true or false. 7. Whitespace and #-to-end-of-line comments should be ignored. 8. Create a zip-archive containing two shell scripts, make.sh and run.sh, that meet the following criteria: * Running make.sh from any directory should build any artifacts needed to run the program within the prj1-sol directory. * Running run.sh from any directory should read and parse a sentence of the above language from standard input and output on standard output a single line containing the JSON representation of the parse. 9. Different kinds of data literals should be output as a JSON object having two properties: %k and %v. * %k represents the kind of the literal, which can be int, atom, bool, list, tuple, or map. * %v represents the value of the literal, which depends on the type of literal. 10. The JSON representation of the different kinds of literals should be as follows: * An integer has the JSON representation { "%k": "int", "%v": value } where value is a JSON integer representing the value of the integer. * An atom has the JSON representation { "%k": "atom", "%v": value } where value is a JSON string spelling out the atom. * A boolean has the JSON representation { "%k": "bool", "%v": value } where value is a JSON boolean representing the value of the boolean. * A key has the JSON representation { "%k": "atom", "%v": value } where value is a JSON string spelling out the key lexeme, but with the : moved to the front. * A list has the JSON representation { "%k": "list", "%v": value } where value is a JSON list containing the JSON representations of the individual items in the list. * A tuple has the JSON representation { "%k": "tuple", "%v": value } where value is a JSON list containing the JSON representations of the individual items in the tuple. * A map has the JSON representation { "%k": "map", "%v": value } where value is a JSON list containing the 2-element JSON lists representing the individual elements in the map. 11. The JSON output should consist of a single line without any whitespace other than the newline terminator. The members of a JSON object may be output in any order. 12. If there are errors in the content, the program should exit with a non-zero status after detecting the first syntax error. It should output a suitable error message on standard error.
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I want to perform regressions. For one of the regressions, the independent variable is binary (0,1) with excessive zeros. For another regression, the independent variable is the absolute value of something (so all my values will be positive). The independent and control variables are binary and continuous. I was wondering whether you are familiar with doing such regressions (maybe zero inflated models, or logistic, poisson, tobit, ... you might know what is more fitting). So basically each company has a financial goal and a social goal. To set the financial goal for the year t, we have two things we look at : the history of our financial performance (this is the historical aspiration of the financial goal) and how other companies in the same industry are performing (this is the social aspiration of the financial goal). D.V. Accounting Fraud: “Following Liu (2016), we construct an accounting fraud dummy that is equal to one if the firm has experienced one of the following events in a given year, and zero otherwise. First, the firm is subject to class action lawsuits in a given year. We identify 216 lawsuit events in our sample using data from the Securities Class Action Clearinghouse (SCAC) Website. SCAC is widely used in corporate misconduct literature to capture firm-level fraud (e.g., Dyck et al., 2010; and Wang et al., 2010). Second, earnings are misstated in that firm year. We use the SEC’s Accounting and Auditing Enforcement Releases 10b-5 (AAER) to identify misstatement. AAER consists of firm misstatement events.” And I added to them an event which is Accounting Controversies: Is the company under the spotlight of the media because of a controversy linked to aggressive or non-transparent accounting issues? I got this from REFINITIV database. So basically, if the company has experienced at least one of the three events above then, I put 1 in the sample, if not, then 0. So if in AAER, SCAC, and/or REFINITIV databases they say that there is fraud, then the value is 1 if neither says that there is fraud then it's 0 So basically each company has a financial goal and a social goal. To set the financial goal for the year t, we have two things we look at : the history of our financial performance (this is the historical aspiration of the financial goal) and how other companies in the same industry are performing (this is the social aspiration of the financial goal). To set the social goal for the year t, we have two things we look at : the history of our performance on the social goal (this is the historical aspiration of the social goal) and how other companies in the same industry are performing (this is the social aspiration of the social goal). So the financial goal has a historical aspiration and social aspiration and the social goal has a historical aspiration and a social aspiration We will need to run 5 regressions (4 of them are the same but you just change the I.V. and the 5th one I have to talk to you about) For the first 4, I will do Accounting Fraud vs Whether we attained the aspiration i.e. 1) accounting fraud vs whether we attained the historical aspiration for the financial goal ; 2) accounting fraud vs whether we attained the social aspiration for the financial goal ; 3) accounting fraud vs whether we attained the historical aspiration for the social goal ; 4) accounting fraud vs whether we attained the social aspiration for the social goal for these, I have provided you in the sample with accounting fraud and for whether we attained these aspirations or not (also binary ; 0 if we haven't and 1 if we have) so these will be easy now for the 5th (might be single one or two based on what you think is reasonable because i don't know how to do it and i need your input): I want to see whether the attainment of both social aspirations (for social goal and for financial goal) or the unattainment of both social aspirations (for social goal and ginancial goal) or the attainment of either of both social aspirations (for social or financial goal) affects the likelihood of accounting fraud and then I want to see whether the attainment of both historical aspirations (for social goal and for financial goal) or the unattainment of both historical aspirations (for social goal and ginancial goal) or the attainment of either of both historical aspirations (for social or financial goal) affects the likelihood of accounting fraud how (un)Attainment of social aspiration for financial goal affects likelihood of accounting fraud how (un)Attainment of hisotircal aspiration for financial goal affects likelihood of accounting fraud how (un)Attainment of social aspiration for social goal affects likelihood of accounting fraud how (un)Attainment of historical aspiration for social goal affects likelihood of accounting fraud you have the accounting fraud variable as 0 or 1 and you have (un)attainment also as 0 or 1 for each of these 4 cases this is straightforward if you decide on the type of regression (poisson or logistic of whatever depending on the dependent variable which has excessive zeros) now the other part is not straightforward For historical aspirations: If we attain the historical aspriation of the financial goal and we attain the historical aspiration of the social goal, how does this affect likelihood of accounting fraud? If we attain the historical aspriation of the financial goal and we do NOT attain the historical aspiration of the social goal, how does this affect likelihood of accounting fraud? If we do NOT attain the historical aspriation of the financial goal and we attain the historical aspiration of the social goal, how does this affect likelihood of accounting fraud? If we DO NOT attain neither historical aspiration for social goal nor historical aspiration for financial goal, how does this affect likelihood of accounting fraud Lastly, for social aspirations: If we attain the social aspriation of the financial goal and we attain the social aspiration of the social goal, how does this affect likelihood of accounting fraud? If we attain the social aspriation of the financial goal and we do NOT attain the social aspiration of the social goal, how does this affect likelihood of accounting fraud? If we do NOT attain the social aspriation of the financial goal and we attain the social aspiration of the social goal, how does this affect likelihood of accounting fraud? If we DO NOT attain neither social aspiration for social goal norsocial aspiration for financial goal, how does this affect likelihood of accounting fraud ? you get where we are going? We need to control for temporal effects ( I have a variable for year 2017 which is binary, for year 2018 which is binary , .... until year 2021) We need to control for industry effects ( I have columns for each industry and also 0 or 1 is the company is in this industry or not) We have to control for risk : I have calculated two variables for this: systematic risk and nonsystematic risk (they are in the sample already) CEO tenure (continunous) , CEO duality (binary) , CEO age (number) , CEO gender (binary) Firm Size (continuous) Board Independence: these are two scores also found in the sample and slack (also avariable in the sample) you have everything you need int he sample I have done all calcualtions for the first 4 regressions, they must be easy Now my financial goal is ROA (Return on Asset) There are two ways to calculate ROA either NI at time t / Assets of the company at time t OR NI at time t / (Assets of the company at time t + Assets of the company at time t - 1 ) this you don;t really care about I am explaining it to you to understand the following columns: ROA-AVG-SAMPLE is the ROA when calculated using the first method i mean second method and ROA-T-SAMPLE is when ROA is calculated using first method why did I do this ? because in previous works, some use this and some use that - so i think it's better if we do regressions using this and then regressions using that and we see which gives better results you can see they are very close but in general ROA is our financial goal - you can call them ROA-Method1 and ROA-Method2 if it's easier for you to understand (Rather than AVG-SAMPLE and T-SAMPLE)you will not use both ; you will use one of them (the one that gives better performance in rgeressions) Now, if we calculate ROA in method 1: FIN-Diff-HA-AVG-dummy is the (un)attainment of the historical aspiration for the financial goal (ROA calculated using method 1) it is 0 if we didn't attain the hisotrical aspiration for the financial goal (ROA calculated using method 1) and it is 1 if we attained or exceeded the historical aspiration for the financial goal (ROA calculated using method 1) Now, if we calculate ROA in method 1: FIN-Diff-HA-T-Dummy is the (un)attainment of the historical aspiration for the financial goal (ROA calculated using method 2) it is 0 if we didn't attain the hisotrical aspiration for the financial goal (ROA calculated using method 2) and it is 1 if we attained or exceeded the historical aspiration for the financial goal (ROA calculated using method 2) Now, if we calculate ROA in method 1: FIN-SA-Diff-AVG-Dummy is the (un)attainment of the social aspiration for the financial goal (ROA calculated using method 1) : it is 0 if we didn't attain the social aspiration for the financial goal (ROA calculated using method 1) and it is 1 if we attained or exceeded the social aspiration for the financial goal (ROA calculated using method 1) Now, if we calculate ROA in method 2: FIN-SA-Diffl-T-Dummy is the (un)attainment of the social aspiration for the financial goal (ROA calculated using method 2) : it is 0 if we didn't attain the social aspiration for the financial goal (ROA calculated using method 2) and it is 1 if we attained or exceeded the social aspiration for the financial goal (ROA calculated using method 2) So basically, when we assume that our financial goal is ROA calculated using method 1 : we will use FIN-Diff-HA-AVG-dummy as wether or not we attained the historical aspiration for the financial goal and FIN-SA-Diff-AVG-Dummy as whether or not we attained the social aspiration for the financial goal and if we calculated our financial goal ROA using method 2: we will use FIN-Diff-HA-T-Dummy as wether or not we attained the historical aspiration for the financial goal and FIN-SA-Diffl-T-Dummy as whether or not we attained the social aspiration for the financial goal this is in summary disregard DA and Absolute DA for now I will explain them later let's move to: EXTRACTIVE PROCESSING EQPT-MANUFACTURING ELECTRICAL-AND-ELECTRONICS TEXTILES-AND-APPAREL CONSUMABLES OTHER-MANUFACTURING TRADE there are the industry variables and they capture the industry effect they are used as control variables so as you can see for example for the first company the values are 1 for TRADE and 0 elsewhere because the company is in the TRADE industry For the second company, the values are 1 for PROCESSING and 0 elsewhere because the company is in PROCESSING industry we include these in the regression to see if for example for this specific industry, the probability of fraud is higher you know? Debt-to-Equity is another control variable. The measure represents the ability of a firm to secure resources with the use of debt financing. if you want to rename it you can call it Potential-Slack but up to you Ticker is another identifier for the company (like CUSIP) so use whichever you want when you want to tell python that this is a panel data the variables: Year_2016 Year_2017 Year_2018 Year_2019 Year_2020 Year_2021 are to study temporal effects I don't know if this is a standard thing to do when we have panel data but for me, i thought maybe we should add them to see if for a certain year, we have more fraud Another control is Duality (it is 1 if the CEO is the chairman of the board at the same time) and 0 if not Disregard: CEO-Salary ($) CEO-Bonus ($) CEO-Non-Equity Incentive Plan Compensation ($) CEO-All Other Compensation ($) CEO-Shares Owned - As Reported CEO-Shares Owned - Options Excluded CEO-Percentage of Total Shares Owned - Options Excluded CEO-Number of Shares Acquired on Option Exercise CEO-Value Realized on Option Exercise ($) CEO-Number of Shares Acquired on Vesting CEO-Value Realized on Vesting ($) for now and then we move to CEO-Age we need to control for this : it is the age of the CEO ignore: CEO-Unexercised Exercisable Options CEO-Estimated Value of In-the-Money Unexercised Exercisable Options ($) control variable: Tenure it is how many years the ceo has been ceo and another control variable is CEO-Gender-Dummy it is 0 if male and 1 if female - you might have some blank values - i don't know how yu need to deal with these - you know better Size-AssetsLog and Size-Employees(Log) are measures for the size of the firm ; I will need only 1 in my regressions . Try both and keep the one that is more fitting (but the same for all regressions so if you decide on Size-AssetsLog then it will be the same for all regressions) I think it's better to use the assets one rather than the employees one I also control for the board of directors: Please use the following variables from the sample o “Audit-Committee-Independence-Score”: Score of independent board members on the audit committee as stipulated by the company. o “Independent-Board-Members”: it is the percentage of independent board members as reported by the company. disregard: Audit-Committee-Independence , Audit-Committee-Mgt-Independence-Score, Audit-Committee-Mgt-Independence , Audit-Committee-NonExecutive-Members, Audit-Committee-Expertise, Corporate-Governance-Board-Committee, Strictly-Independent-Board-Members, and Strictly-Independent-Board-Members Now column BE is Social-Score it is the performance on the Social Goal remember how ROA was the financial goal ? Social Score is the social score i told you there is a financial goal (with hsitorical and social aspiration) and a social goal (with historical and social aspiration) so now we are at the social goal which is social score Social-Score is the performance on that goal disregard column BF (earnings-restatement) and BG (Social-Average) Dummy-SA-Social-Score is the (un)attainment of the social aspiration of the social goal : 0 if we didn't attain the social aspiration of the social goal and 1 is we did or we exceeded SCAC-AAER-REFINITIV is the measure for accounting fraud (0 or 1 with excessive zeros) we need to control for risk and we have 2 variables for that: Systematic-Risk-Final and Non-Systematic-Risk Label-Social-HA-Dummy is the (un)attainment of the historical aspiration of the social goal : 0 if we didn't attain the hisotircal aspiration of the social goal and 1 is we did or we exceeded as i told you the dependent variable is accounting fraud which is the variable: SCAC-AAER-REFINITIV (you can rename it if it's easier for you) as you can see it is 0 or 1 but excessive 0s this is why i asked you at the beginning what we can do with that I don't know if you can try the zero inflated poisson, the logistic regression, I also came across the Zero-Inflated Logistic Regression (designed for binary outcomes with excess zeros and incorporates a two-process mechanism, distinguishing between the process determining the likelihood of observing a zero and the process for non-zero outcomes) this is something i don't know how to deal with and you said we can try several things and see which gives better performance so yeah this is the dependent variable Again for the social goal : the (un)attainment of social aspiration for social goal the variable is Dummy-SA-Social-Score and the (un)attaiment of historical aspiration for social goal the variable is Label-Social-HA-Dummy And for the financial goal: IF WE ARE USING METHOD 1 , the (un)attainment of social aspiration for financial goal the variable is FIN-SA-Diff-AVG-Dummy and the (un)attaiment of historical aspiration for financial goal the variable is FIN-Diff-HA-AVG-dummy And for the financial goal: IF WE ARE USING METHOD 2 , the (un)attainment of social aspiration for financial goal the variable is FIN-SA-Diffl-T-Dummy and the (un)attaiment of historical aspiration for financial goal the variable is FIN-Diff-HA-T-Dummy these are our independent variables for the different regressions and for your trial of interaction effects Industry Variables: EXTRACTIVE, PROCESSING, EQPT-MANUFACTURING, ELECTRICAL-AND-ELECTRONICS, TEXTILES-AND-APPAREL, CONSUMABLES, OTHER-MANUFACTURING, TRADE: Industry indicators. there are alone and debt-to-equity is a variable alone it is not an industry variable Temporal Effects: Year_2016 to Year_2021: Dummy variables to study temporal effects. these are alone Size-AssetsLog: Logarithm of firm size based on assets. NO it is the logarithm of assets and it is a measure of firm size Size-Employees(Log): Logarithm of firm size based on employees. NO it is the logarithm of number of employees and it is a measure also for firm size Audit Committee Variables: Audit-Committee-Independence, Audit-Committee-Mgt-Independence-Score, Audit-Committee-Mgt-Independence, Audit-Committee-NonExecutive-Members, Audit-Committee-Expertise, Audit-Committee-Independence-Score, Corporate-Governance-Board-Committee, Independent-Board-Members, Strictly-Independent-Board-Members. YOU DON'T NEED ALL OF THESE YOU ONLY NEED TWO: Audit-Committee-Independence-Score AND Independent-Board-Members So basically, the idea is ... think with me ... if the CEO has a financial goal and a social goal , the CEO is more likely to do accounting fraud so we need a way to show this but we cannot mix historical aspiration and social aspiration so we do historical aspiration alone and social aspiration alone pay attention when we say social aspiration it is different from social goal hahaha the financial goal has a social aspiration and the social goal has a social aspiration as we mentioned earlier THIS IS A VERY IMPORTANT PART IN THE PAPER (I MENTIONED IT EARLIER): "For historical aspirations: If we attain the historical aspriation of the financial goal and we attain the historical aspiration of the social goal, how does this affect likelihood of accounting fraud? If we attain the historical aspriation of the financial goal and we do NOT attain the historical aspiration of the social goal, how does this affect likelihood of accounting fraud? If we do NOT attain the historical aspriation of the financial goal and we attain the historical aspiration of the social goal, how does this affect likelihood of accounting fraud? If we DO NOT attain neither historical aspiration for social goal nor historical aspiration for financial goal, how does this affect likelihood of accounting fraud Lastly, for social aspirations: If we attain the social aspriation of the financial goal and we attain the social aspiration of the social goal, how does this affect likelihood of accounting fraud? If we attain the social aspriation of the financial goal and we do NOT attain the social aspiration of the social goal, how does this affect likelihood of accounting fraud? If we do NOT attain the social aspriation of the financial goal and we attain the social aspiration of the social goal, how does this affect likelihood of accounting fraud? If we DO NOT attain neither social aspiration for social goal norsocial aspiration for financial goal, how does this affect likelihood of accounting fraud ?" the control variables I might add 1 more variable I am working on now I need to send it to you ASAP but you can start working and when i continue calculating it you just add it to the regressions So for now you can start with accounting fraud vs historical aspiration for financial goal ; accounting fraud vs social aspiration for financial goal ; accounting fraud vs historical aspiration for social goal ; accounting fraud vs social aspiration for social goal but these are important but not as important as these: "For historical aspirations: If we attain the historical aspriation of the financial goal and we attain the historical aspiration of the social goal, how does this affect likelihood of accounting fraud? If we attain the historical aspriation of the financial goal and we do NOT attain the historical aspiration of the social goal, how does this affect likelihood of accounting fraud? If we do NOT attain the historical aspriation of the financial goal and we attain the historical aspiration of the social goal, how does this affect likelihood of accounting fraud? If we DO NOT attain neither historical aspiration for social goal nor historical aspiration for financial goal, how does this affect likelihood of accounting fraud Lastly, for social aspirations: If we attain the social aspriation of the financial goal and we attain the social aspiration of the social goal, how does this affect likelihood of accounting fraud? If we attain the social aspriation of the financial goal and we do NOT attain the social aspiration of the social goal, how does this affect likelihood of accounting fraud? If we do NOT attain the social aspriation of the financial goal and we attain the social aspiration of the social goal, how does this affect likelihood of accounting fraud? If we DO NOT attain neither social aspiration for social goal norsocial aspiration for financial goal, how does this affect likelihood of accounting fraud ?"
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Write a python scribed that connect to a Wi-Fi
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I got an idea. improve this code by adding input fields for “,” and “.” total character amount in string. the pattern is random but constant as: through each letter follows a random punctuation “,” or “.”.: also, add button through javascript create element and all input fields and make input field for total characters in string from 1 to 4096. also, don’t use raw regex string or backticks in code.: // Function to generate a random letter (a-z) function getRandomLetter() { const alphabet = ‘abcdefghijklmnopqrstuvwxyz’; return alphabet[Math.floor(Math.random() * alphabet.length)]; } // Function to generate a random separator (“,” or “.”) function getRandomSeparator() { const separators = [‘,’, ‘.’]; return separators[Math.floor(Math.random() * separators.length)]; } // Function to generate a random string of a given length function generateRandomString(length) { let randomString = ‘’; for (let i = 0; i < length; i++) { randomString += getRandomLetter() + getRandomSeparator(); } return randomString; } // Function to create a DOM element with the random string function createRandomStringElement() { // Generate a random string of length 10 (for example) const randomString = generateRandomString(2048); // Create a new ‘p’ element const pElement = document.createElement(“p”); // Create a text node with the random string const textNode = document.createTextNode(randomString); // Append the text node to the ‘p’ element pElement.appendChild(textNode); // Append the ‘p’ element to the body of the document document.body.appendChild(pElement); } // Call the function to create and append the element to the document createRandomStringElement();
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improve this code by adding input fields for “,” and “.” total character amount in string. the pattern is random but constant as: through each letter follows a random punctuation “,” or “.”.: also, add button through javascript create element and all input fields and make input field for total characters in string from 1 to 4096. user should be able: input/state total amount of commas and periods characters inbeween letters in string. if letters less than punctuation characters, then combine letters as it flows from random string generator without spaces. also, don’t use raw regex string or backticks in code.: // Function to generate a random letter (a-z) function getRandomLetter() { const alphabet = ‘abcdefghijklmnopqrstuvwxyz’; return alphabet[Math.floor(Math.random() * alphabet.length)]; } // Function to generate a random separator (“,” or “.”) function getRandomSeparator() { const separators = [‘,’, ‘.’]; return separators[Math.floor(Math.random() * separators.length)]; } // Function to generate a random string of a given length function generateRandomString(length) { let randomString = ‘’; for (let i = 0; i < length; i++) { randomString += getRandomLetter() + getRandomSeparator(); } return randomString; } // Function to create a DOM element with the random string function createRandomStringElement() { // Generate a random string of length 10 (for example) const randomString = generateRandomString(2048); // Create a new ‘p’ element const pElement = document.createElement(“p”); // Create a text node with the random string const textNode = document.createTextNode(randomString); // Append the text node to the ‘p’ element pElement.appendChild(textNode); // Append the ‘p’ element to the body of the document document.body.appendChild(pElement); } // Call the function to create and append the element to the document createRandomStringElement();
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how do use clojure for webscraping
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Provide me a 1000 line long c++ program
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a=100 b=99 if [ $a \> $b ] then echo "$a is larger" else echo "$b is larger" fi if [ $a -gt $b ] then echo "$a is larger" else echo "$b is larger" fi
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a=100 b=99 if [ $a \> $b ] then echo "$a is larger" else echo "$b is larger" fi if [ $a -gt $b ] then echo "$a is larger" else echo "$b is larger" fi
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a=100 b=99 if [ $a \> $b ] then echo "$a is larger" else echo "$b is larger" fi if [ $a -gt $b ] then echo "$a is larger" else echo "$b is larger" fi
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User I'm trying to use async to get search results. It returns "#object[clojure.core.async.impl.channels.ManyToManyChannel 0x2d731c6 "clojure.core.async.impl.channels.ManyToManyChannel@2d731c6"]" instead of the URL list. Here is my code. (ns search.08 (:require [clojure.string :as str]) (:require [clojure.core.async :as a :refer [>! <! >!! <!! go chan buffer close! thread alts! alts!! timeout sliding-buffer]])) ;; Revisit the problem of returning the first hits from multiple search engines, ;; this time using core.async constructs instead of futures and promises. (You’ll need to use the alts! macro). ;; Compare and contrast the two approaches. (def search-engine-urls {:bing {:name "Bing" :url "http://www.bing.com/search?q="} :google {:name "Google" :url "https://www.google.com/search?client=firefox-b-d&"} :yandex {:name "Yandex" :url "https://yandex.com/search/?text="} :brave {:name "Brave" :url "https://search.brave.com/search?q="} :yahoo {:name "Yahoo" :url "https://search.yahoo.com/search?p="} :mojeek {:name "Mojeek" :url "https://www.mojeek.com/search?q="}}) (defn get-search-string-base "Converts the keyword of any of the search engines in the map to the base component of their search URL." [engine] (get-in search-engine-urls [engine :url])) (defn fetch-html-from-search-url "Grabs the entire HTML contents of a specified search engine page searching for a specified `query`." [engine query] (let [engine-url (get-search-string-base engine) url (str engine-url query)] (slurp url))) (def url-regex #"\b(?:https?|ftp):\/\/[-A-Za-z0-9+&@#\/=%?\\-_.:;]*[-A-Za-z0-9+&@#\/=%\\-_\\?]") ; Regex to get non-malformed URLs. ;; We want our search results to get useful content, so these are words I don't want to see in the URLs. (def unwanted-url-keywords #{"yahoo" "google" "yandex" "w3.org" "&quot" "translate.ru" "yastatic.net" "bing.net" "yimg.com" "brave.com" "bing.com" "mojeek.com"}) (defn extract-urls "Returns a lazy sequence of all the URLs extracted from an input chunk of text." [text] (re-seq url-regex text)) (defn fetch-and-extract-all-urls "Uses `extract-url` on a chunk of HTML retrieved from a search engine." [engine query] (extract-urls (fetch-html-from-search-url engine query))) (defn string-good-words-only-checker "Checks a string against a list of words. If any of the words on the list are found in the string, returns `false`." [list string] (not-any? true? (map #(str/includes? string %) list))) (defn filter-out-strings-containing-these "Filters a list of strings against another list of words, and removes any that are found." [filter-list coll] (filter #(string-good-words-only-checker filter-list %) coll)) (def search-buffer (chan (sliding-buffer 5))) (defn search "Searches the Internet for the designated query. Engines supported: \n`:bing` `:google` `:yandex` `:brave` `:yahoo` `:mojeek` \nExample search: `search :bing \"eggs\"`" [engine query] (>!! search-buffer (fetch-and-extract-all-urls engine query)) (go (->> (<! search-buffer) (filter-out-strings-containing-these unwanted-url-keywords) (set) (vec) (sort)))) (>!! search-buffer (fetch-and-extract-all-urls :bing "eggs")) (search :bing "eggs")
159a4a89a47eeda1b4001a35196a2f22
{ "intermediate": 0.47591912746429443, "beginner": 0.3805975019931793, "expert": 0.14348341524600983 }
38,715
write regex that validates ipv4 ip address, that starts with (10, 172, 192), doesn’t have the first segment start with 0, is a fully valid regex, and cannot end with a period
ae6a8eb8331bbf1de4d4802db0caef47
{ "intermediate": 0.3407551050186157, "beginner": 0.18053273856639862, "expert": 0.47871220111846924 }
38,716
write regex that validates ipv4 ip address, that starts with (10, 172, 192), doesn’t have the first segment start with 0, is a fully valid regex, and uses lookaround parameters
082d14a71a9e2748eca18bd8090a81d5
{ "intermediate": 0.34211304783821106, "beginner": 0.2113390862941742, "expert": 0.44654783606529236 }
38,717
I'm trying to use async to get search results. It returns "#object[clojure.core.async.impl.channels.ManyToManyChannel 0x77aaa801 "clojure.core.async.impl.channels.ManyToManyChannel@77aaa801"]". I want it to return either a vector with the fetched and filtered URLs, or the "Search timed out" string. Here is my code. (ns assignments.assignment08 (:require [clojure.string :as str]) (:require [clojure.core.async :as a :refer [>! <! >!! <!! go chan buffer close! thread alts! alts!! timeout sliding-buffer dropping-buffer]])) ;; Revisit the problem of returning the first hits from multiple search engines, ;; this time using core.async constructs instead of futures and promises. (You’ll need to use the alts! macro). ;; Compare and contrast the two approaches. (def search-engine-urls {:bing {:name "Bing" :url "http://www.bing.com/search?q="} :google {:name "Google" :url "https://www.google.com/search?client=firefox-b-d&"} :yandex {:name "Yandex" :url "https://yandex.com/search/?text="} :brave {:name "Brave" :url "https://search.brave.com/search?q="} :yahoo {:name "Yahoo" :url "https://search.yahoo.com/search?p="} :mojeek {:name "Mojeek" :url "https://www.mojeek.com/search?q="}}) (defn get-search-string-base "Converts the keyword of any of the search engines in the map to the base component of their search URL." [engine] (get-in search-engine-urls [engine :url])) (defn fetch-html-from-search-url "Grabs the entire HTML contents of a specified search engine page searching for a specified `query`." [engine query] (let [engine-url (get-search-string-base engine) url (str engine-url query)] (slurp url))) (def url-regex #"\b(?:https?|ftp):\/\/[-A-Za-z0-9+&@#\/=%?\\-_.:;]*[-A-Za-z0-9+&@#\/=%\\-_\\?]") ; Regex to get non-malformed URLs. ;; We want our search results to get useful content, so these are words I don't want to see in the URLs. (def unwanted-url-keywords #{"yahoo" "google" "yandex" "w3.org" "&quot" "translate.ru" "yastatic.net" "bing.net" "yimg.com" "brave.com" "bing.com" "mojeek.com"}) (defn extract-urls "Returns a lazy sequence of all the URLs extracted from an input chunk of text." [text] (re-seq url-regex text)) (defn fetch-and-extract-all-urls "Uses `extract-url` on a chunk of HTML retrieved from a search engine." [engine query] (extract-urls (fetch-html-from-search-url engine query))) (defn string-good-words-only-checker "Checks a string against a list of words. If any of the words on the list are found in the string, returns `false`." [list string] (not-any? true? (map #(str/includes? string %) list))) (defn filter-out-strings-containing-these "Filters a list of strings against another list of words, and removes any that are found." [filter-list coll] (filter #(string-good-words-only-checker filter-list %) coll)) (def search-buffer "The default search buffer. " (chan (dropping-buffer 50))) (defn process-url-glob "Takes a collection of strings (hopefully containing URLs) and filters out unwanted " [input] (->> input (filter-out-strings-containing-these unwanted-url-keywords) (set) (vec) (sort))) (defn search "Searches the Internet for the designated query. Engines supported: \n`:bing` `:google` `:yandex` `:brave` `:yahoo` `:mojeek` \nExample search: `search :bing \"eggs\"`" [engine query] ;; (>!! search-buffer (vec (fetch-and-extract-all-urls engine query))) (>!! search-buffer (fetch-and-extract-all-urls engine query)) (go (let [result (alts! [search-buffer (timeout 5000)])] ; Timeout after 5 seconds (process-url-glob (first result)) [:timeout "Search timed out"]))) (search :bing "eggs")
c19abf4dd5332006c3b1c725823bb4b9
{ "intermediate": 0.47708821296691895, "beginner": 0.3610362410545349, "expert": 0.16187554597854614 }
38,718
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d1c34bcaac511c22de289120c311d8fe
{ "intermediate": 0.28638848662376404, "beginner": 0.42765188217163086, "expert": 0.2859595715999603 }
38,719
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ba5e747abdc4b1c1ec310f3d42641d9e
{ "intermediate": 0.28638848662376404, "beginner": 0.42765188217163086, "expert": 0.2859595715999603 }
38,720
Привет! Почему возникает такая ошибка? Traceback (most recent call last): File "C:\Users\Аскар\PycharmProjects\smena tt\main.py", line 197, in <module> executor.start_polling(dp, on_startup=on_startup) File "C:\Users\Аскар\PycharmProjects\smena tt\.venv\Lib\site-packages\aiogram\utils\executor.py", line 45, in start_polling executor.start_polling( File "C:\Users\Аскар\PycharmProjects\smena tt\.venv\Lib\site-packages\aiogram\utils\executor.py", line 320, in start_polling loop.run_until_complete(self._startup_polling()) File "C:\Users\Аскар\AppData\Local\Programs\Python\Python311\Lib\asyncio\base_events.py", line 653, in run_until_complete return future.result() ^^^^^^^^^^^^^^^ File "C:\Users\Аскар\PycharmProjects\smena tt\.venv\Lib\site-packages\aiogram\utils\executor.py", line 377, in _startup_polling await callback(self.dispatcher) File "C:\Users\Аскар\PycharmProjects\smena tt\main.py", line 192, in on_startup await create_tables() ^^^^^^^^^^^^^^^ TypeError: create_tables() missing 1 required positional argument: 'dispatcher' Вот мой код бота: import logging from aiogram import Bot, Dispatcher, executor, types from aiogram.contrib.fsm_storage.memory import MemoryStorage from aiogram.dispatcher import FSMContext from aiogram.dispatcher.filters.state import State, StatesGroup from PIL import Image, ImageFilter, ImageEnhance from io import BytesIO import aiosqlite import random from PIL import Image, ImageEnhance from io import BytesIO # Конфигурация API_TOKEN = '6937803168:AAE-eV82HlqV3M0w7a8U89aJBpkGfywCz7A' # Настройка логирования logging.basicConfig(level=logging.INFO) # Инициализация бота и диспетчера bot = Bot(token=API_TOKEN) storage = MemoryStorage() dp = Dispatcher(bot, storage=storage) # Определение состояний class UploadState(StatesGroup): waiting_for_backgrounds = State() # Инициализация соединения с БД async def get_db_connection(): return await aiosqlite.connect('database.db') # Создание таблиц при старте бота async def create_tables(dispatcher): async with aiosqlite.connect('database.db') as db: await db.execute(""" CREATE TABLE IF NOT EXISTS backgrounds ( id INTEGER PRIMARY KEY AUTOINCREMENT, user_id INTEGER NOT NULL, photo_id TEXT NOT NULL ) """) await db.execute(""" CREATE TABLE IF NOT EXISTS userphotos ( id INTEGER PRIMARY KEY AUTOINCREMENT, user_id INTEGER NOT NULL, photo_id TEXT NOT NULL ) """) await db.commit() # Функция для скачивания фото async def download_photo(photo_id): file = await bot.get_file(photo_id) file_path = file.file_path contents = await bot.download_file(file_path) return contents.read() @dp.message_handler(commands=['upload'], state='*') async def cmd_upload(message: types.Message, state: FSMContext): await UploadState.waiting_for_backgrounds.set() await message.answer("Пожалуйста, загрузите фоновые изображения. Отправьте команду /stop, когда завершите.") @dp.message_handler(content_types=['photo'], state=UploadState.waiting_for_backgrounds) async def upload_background_photo(message: types.Message, state: FSMContext): # Добавление фотографии в таблицу backgrounds photo_id = message.photo[-1].file_id user_id = message.from_user.id async with await get_db_connection() as db: await db.execute("INSERT INTO backgrounds (user_id, photo_id) VALUES (?, ?)", (user_id, photo_id)) await db.commit() await message.reply("Фотография добавлена как фон.") @dp.message_handler(commands=['stop'], state=UploadState.waiting_for_backgrounds) async def cmd_stop(message: types.Message, state: FSMContext): await state.finish() await message.answer("Прием фоновых изображений завершен.") class UserPhotoState(StatesGroup): waiting_for_user_photos = State() @dp.message_handler(commands=['user'], state='*') async def cmd_user_photo(message: types.Message, state: FSMContext): await UserPhotoState.waiting_for_user_photos.set() await message.answer("Загрузите фотографии, которые хотите использовать.") @dp.message_handler(content_types=['photo'], state=UserPhotoState.waiting_for_user_photos) async def upload_user_photo(message: types.Message, state: FSMContext): photo_id = message.photo[-1].file_id user_id = message.from_user.id async with await get_db_connection() as db: await db.execute("INSERT INTO userphotos (user_id, photo_id) VALUES (?, ?)", (user_id, photo_id)) await db.commit() await message.reply("Ваша фотография загружена.") @dp.message_handler(commands=['photos'], state='*') async def process_photos(message: types.Message, state: FSMContext): user_id = message.from_user.id async with await get_db_connection() as db: # Получаем все пользовательские фото user_photos_cur = await db.execute("SELECT id, photo_id FROM userphotos WHERE user_id = ?", (user_id,)) user_photos = await user_photos_cur.fetchall() # Получаем количество доступных фонов backgrounds_cur = await db.execute("SELECT id, photo_id FROM backgrounds") backgrounds = await backgrounds_cur.fetchall() # Убедитесь, что у нас есть хотя бы один фон и одно пользовательское фото if not user_photos or not backgrounds: await message.answer("Нет фотографий для обработки или фонов в базе данных.") return for i in range(0, len(backgrounds), len(user_photos)): # Группируем фоны по числу пользовательских фото group_backgrounds = backgrounds[i:i + len(user_photos)] media_group = types.MediaGroup() for user_photo_row in user_photos: # Берем фон из группы background_row = group_backgrounds.pop(0) if group_backgrounds else None if not background_row: break # Нет больше фонов для обработки background_id, background_photo_id = background_row user_photo_id = user_photo_row[1] # Скачиваем фон и пользовательское фото background_data = await download_photo(background_photo_id) user_photo_data = await download_photo(user_photo_id) # Обработка и накладывание фонов result_image_io = await overlay_photo_on_background(background_data, user_photo_data) # Добавляем фото в медиагруппу media_group.attach_photo(types.InputFile(result_image_io)) # Удаляем использованный фон из БД await db.execute("DELETE FROM backgrounds WHERE id = ?", (background_id,)) # Отправка пакета фото await bot.send_media_group(message.chat.id, media_group=media_group) await db.commit() async def overlay_photo_on_background(background_data, user_photo_data): with Image.open(BytesIO(background_data)) as background, Image.open(BytesIO(user_photo_data)) as user_photo: # Преобразуем в RGBA, если это необходимо if background.mode != 'RGBA': background = background.convert('RGBA') if user_photo.mode != 'RGBA': user_photo = user_photo.convert('RGBA') # Сжимаем пользовательское изображение до размеров фона с отступами padding = 70 user_width_with_padding = user_photo.width + padding * 2 user_height_with_padding = user_photo.height + padding * 2 user_photo.thumbnail((user_width_with_padding, user_height_with_padding), Image.ANTIALIAS) # Растягиваем фон до размеров пользовательского изображения # Здесь предполагаем, что фон может быть меньше пользовательского изображения background = background.resize((user_width_with_padding, user_height_with_padding), Image.LANCZOS) # Размываем фон background = background.filter(ImageFilter.GaussianBlur(radius=15)) # Накладываем пользовательское изображение по центру фона user_photo_position = ((background.width - user_photo.width) // 2, (background.height - user_photo.height) // 2) background.paste(user_photo, user_photo_position, user_photo) # Усиливаем яркость фона с учетом альфа-канала enhancer = ImageEnhance.Brightness(background) background = enhancer.enhance(1.5) # 1.0 - оригинальная яркость, >1 - ярче # Сохраняем в BytesIO объект final_image = BytesIO() background.save(final_image, format='PNG') final_image.seek(0) return final_image async def on_startup(dispatcher): await create_tables() # Запуск бота if __name__ == '__main__': executor.start_polling(dp, on_startup=on_startup)
09a4c7030f4b8abda55cabf0227a191c
{ "intermediate": 0.3127521872520447, "beginner": 0.46100324392318726, "expert": 0.22624458372592926 }
38,721
Hugging Face's logo Hugging Face Models Datasets Spaces Posts Docs Pricing Spaces: diffusers / unofficial-SDXL-Turbo-i2i-t2i like 383 App Files Community 4 unofficial-SDXL-Turbo-i2i-t2i / app.py radames's picture radames HF STAFF Update app.py 18ae4e7 about 2 months ago raw history blame contribute delete No virus 7 kB from diffusers import AutoPipelineForImage2Image, AutoPipelineForText2Image import torch import os try: import intel_extension_for_pytorch as ipex except: pass from PIL import Image import numpy as np import gradio as gr import psutil import time import math SAFETY_CHECKER = os.environ.get("SAFETY_CHECKER", None) TORCH_COMPILE = os.environ.get("TORCH_COMPILE", None) HF_TOKEN = os.environ.get("HF_TOKEN", None) # check if MPS is available OSX only M1/M2/M3 chips mps_available = hasattr(torch.backends, "mps") and torch.backends.mps.is_available() xpu_available = hasattr(torch, "xpu") and torch.xpu.is_available() device = torch.device( "cuda" if torch.cuda.is_available() else "xpu" if xpu_available else "cpu" ) torch_device = device torch_dtype = torch.float16 print(f"SAFETY_CHECKER: {SAFETY_CHECKER}") print(f"TORCH_COMPILE: {TORCH_COMPILE}") print(f"device: {device}") if mps_available: device = torch.device("mps") torch_device = "cpu" torch_dtype = torch.float32 if SAFETY_CHECKER == "True": i2i_pipe = AutoPipelineForImage2Image.from_pretrained( "stabilityai/sdxl-turbo", torch_dtype=torch_dtype, variant="fp16" if torch_dtype == torch.float16 else "fp32", ) t2i_pipe = AutoPipelineForText2Image.from_pretrained( "stabilityai/sdxl-turbo", torch_dtype=torch_dtype, variant="fp16" if torch_dtype == torch.float16 else "fp32", ) else: i2i_pipe = AutoPipelineForImage2Image.from_pretrained( "stabilityai/sdxl-turbo", safety_checker=None, torch_dtype=torch_dtype, variant="fp16" if torch_dtype == torch.float16 else "fp32", ) t2i_pipe = AutoPipelineForText2Image.from_pretrained( "stabilityai/sdxl-turbo", safety_checker=None, torch_dtype=torch_dtype, variant="fp16" if torch_dtype == torch.float16 else "fp32", ) t2i_pipe.to(device=torch_device, dtype=torch_dtype).to(device) t2i_pipe.set_progress_bar_config(disable=True) i2i_pipe.to(device=torch_device, dtype=torch_dtype).to(device) i2i_pipe.set_progress_bar_config(disable=True) def resize_crop(image, size=512): image = image.convert("RGB") w, h = image.size image = image.resize((size, int(size * (h / w))), Image.BICUBIC) return image async def predict(init_image, prompt, strength, steps, seed=1231231): if init_image is not None: init_image = resize_crop(init_image) generator = torch.manual_seed(seed) last_time = time.time() if int(steps * strength) < 1: steps = math.ceil(1 / max(0.10, strength)) results = i2i_pipe( prompt=prompt, image=init_image, generator=generator, num_inference_steps=steps, guidance_scale=0.0, strength=strength, width=512, height=512, output_type="pil", ) else: generator = torch.manual_seed(seed) last_time = time.time() results = t2i_pipe( prompt=prompt, generator=generator, num_inference_steps=steps, guidance_scale=0.0, width=512, height=512, output_type="pil", ) print(f"Pipe took {time.time() - last_time} seconds") nsfw_content_detected = ( results.nsfw_content_detected[0] if "nsfw_content_detected" in results else False ) if nsfw_content_detected: gr.Warning("NSFW content detected.") return Image.new("RGB", (512, 512)) return results.images[0] css = """ #container{ margin: 0 auto; max-width: 80rem; } #intro{ max-width: 100%; text-align: center; margin: 0 auto; } """ with gr.Blocks(css=css) as demo: init_image_state = gr.State() with gr.Column(elem_id="container"): gr.Markdown( """# SDXL Turbo Image to Image/Text to Image ## Unofficial Demo SDXL Turbo model can generate high quality images in a single pass read more on [stability.ai post](https://stability.ai/news/stability-ai-sdxl-turbo). **Model**: https://huggingface.co/stabilityai/sdxl-turbo """, elem_id="intro", ) with gr.Row(): prompt = gr.Textbox( placeholder="Insert your prompt here:", scale=5, container=False, ) generate_bt = gr.Button("Generate", scale=1) with gr.Row(): with gr.Column(): image_input = gr.Image( sources=["upload", "webcam", "clipboard"], label="Webcam", type="pil", ) with gr.Column(): image = gr.Image(type="filepath") with gr.Accordion("Advanced options", open=False): strength = gr.Slider( label="Strength", value=0.7, minimum=0.0, maximum=1.0, step=0.001, ) steps = gr.Slider( label="Steps", value=2, minimum=1, maximum=10, step=1 ) seed = gr.Slider( randomize=True, minimum=0, maximum=12013012031030, label="Seed", step=1, ) with gr.Accordion("Run with diffusers"): gr.Markdown( """## Running SDXL Turbo with `diffusers`
afea77342389d60d48bca738a5013b13
{ "intermediate": 0.2514457404613495, "beginner": 0.5695486068725586, "expert": 0.17900559306144714 }
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Make me a snake game on python with These features: Colour, link to sound when eat or die, when touches the walls goes to oppposite
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import java.util.*; public class Main{ public static int find(int n1 , int n2 ){ int count = (n2-n1)+1; for( int a = n1; a<= n2 ;a++){ String num1 = Integer.toString(a); for(int i = 0; i< num1.length() ; i++){ for( int j = i+1 ; j< num1.length() ; j++) { if(num1.charAt(i)==num1.charAt(j)){ count--; } } } } return count; } public static void main(String[] args){ Scanner sc = new Scanner(System.in); int n1 = sc.nextInt(); int n2 = sc.nextInt(); int y = find(n1,n2); System.out.println(y); } } whats wrong with this logiv
55179392486ca5205ce0157f9058644c
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top 20 us companies by market caps. list tickers in a python list like [AAPL, META, NVID]
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{ "intermediate": 0.34682735800743103, "beginner": 0.18574830889701843, "expert": 0.46742433309555054 }
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ndk c++ why open(fifo) return -1
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how copy image in cmakelists to android app
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how copy image in cmakelists to android app
c6a90cac306f203b648b2beda8c2857f
{ "intermediate": 0.46438243985176086, "beginner": 0.16652193665504456, "expert": 0.3690956234931946 }
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how copy image in cmakelists to android app
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{ "intermediate": 0.46438243985176086, "beginner": 0.16652193665504456, "expert": 0.3690956234931946 }
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write a appendix with samples about a gebiz tender telegram bot that informations the person who add the bot about the tender the status of the specific tender number theywant, the bot status gives them the status , awarded or not awarded, awarded value, awarded to and awarded date
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{ "intermediate": 0.3514361083507538, "beginner": 0.19735944271087646, "expert": 0.4512045085430145 }
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Is al maktoum dwc a good airport? Is it older than dxb? What are distinctive features and interesting about DWC?
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{ "intermediate": 0.35335615277290344, "beginner": 0.28057077527046204, "expert": 0.3660731017589569 }
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How can i send message in facebook messenger api using php
57d5164aa167a8acfa26383a15fe0e3a
{ "intermediate": 0.7619914412498474, "beginner": 0.14241071045398712, "expert": 0.09559787809848785 }
38,732
Привет! Пожалуйста, продолжи написание кода, ты сломался при моем прошлом запросе. Вот весь наш диалог: "Привет! Пожалуйста, помоги написать бота Telegram с использованием библиотек aiogram и aiosqlite. Сейчас я распишу тебе вкратце суть бота: Пользователь загружает в бота фотографии backgrounds, которые впоследствии послужат фонами для userphotos. Бот должен принимать неограниченное количество фотографий backgrounds по команде пользователя /upload и прекратить прием фото по команде /stop. 1. БД: Должно быть 2 таблицы: backgrounds и userphotos 2. Команды бота /upload - прием фоновых фотографий backgrounds от пользователя. /stop - прекратить прием фоновых фото от пользователя /user - команда, позволяющая пользователю загрузить фото, которые послужат “верхними фото”, то есть, снизу них будут накладываться фоновые фото. /photos - ставит фоны на фото пользователя и отправляет фотографии пачками (т.е., если у пользователя 4 фотографии в /user, то бот должен отправлять фото пачками по 4 фото) Описание команды /user: Пользователь загружает одним сообщением фотографии, которые впоследствии будут использоваться для того, чтобы вниз них ставить фоны Описание команды /photos: Каждый фон должен использоваться только один раз, не повторяясь и удаляясь из БД после использования. Также, должны использоваться ВСЕ фоны из БД по единовременному использованию команды. То есть, если фонов в БД 100, а пользовательских фотографий 4, то бот должен использовать каждый фон и отправить все это пользователю, соответственно, будет 25 сообщений от бота, в каждом по 4 фото. Вот примерный код смены фона, который я взял из одного из моих прошлых проектов: @dp.message_handler(content_types=[‘photo’], state=PhotoState.waiting_for_user_photo) async def overlay_photo_on_background(message: types.Message, state: FSMContext): await message.reply(“Обрабатываю фотографии. Подождите, пожалуйста.”, parse_mode=‘MarkdownV2’) user_photo_id = message.photo[-1].file_id conn = await get_db_connection() # Получаем случайное фото фона из БД cur = await conn.execute(“SELECT id, photo_id FROM photos ORDER BY RANDOM() LIMIT 1”) photo_info = await cur.fetchone() if photo_info is None: await message.answer(“Нет доступных фоновых изображений.”,parse_mode=‘MarkdownV2’) await state.finish() return background_photo_id = photo_info[1] # Скачиваем фото фона и пользовательское фото background_data = await download_photo(background_photo_id) user_photo_data = await download_photo(user_photo_id) with Image.open(BytesIO(background_data)) as background, Image.open(BytesIO(user_photo_data)) as user_photo: # Пропорции и размеры для пользовательского фото с учетом отступов padding = 70 new_user_width = user_photo.width + padding * 2 new_user_height = user_photo.height + padding * 2 user_photo.thumbnail((new_user_width, new_user_height), Image.Resampling.LANCZOS) background = background.convert(“RGBA”) # Рассчитываем новые пропорции для фона new_background_width = max(background.width, new_user_width) new_background_height = max(background.height, new_user_height) # Растягиваем фон до новых размеров background = background.resize((new_background_width, new_background_height), Image.Resampling.LANCZOS) # Применяем размытие Гаусса background = background.filter(ImageFilter.GaussianBlur(radius=background.size[0] * 0.006)) # Если пользовательское изображение не в формате RGBA, конвертируем его if user_photo.mode != ‘RGBA’: user_photo = user_photo.convert(“RGBA”) # Создаем маску прозрачности для альфа-канала mask = user_photo.split()[3] # Позиционируем пользовательское изображение по центру растянутого и размытого фона position = ((background.width - user_photo.width) // 2, (background.height - user_photo.height) // 2) background.paste(user_photo, position, user_photo) enhancer = ImageEnhance.Brightness(background) factor = random.uniform(0.7, 1.25) background = enhancer.enhance(factor) # Конвертируем изображение шума в формат ‘RGBA’ и изменяем альфа-канал noise_image = noise_image.convert(‘RGBA’) noise_alpha = Image.new(‘L’, noise_image.size, color=55) # Альфа-канал с 10% непрозрачности (25 из 255) noise_image.putalpha(noise_alpha) # Сохраняем результат в объект BytesIO result_image_io = BytesIO() background.save(result_image_io, format=‘PNG’) result_image_io.seek(0) # Отправляем пользователю новое изображение await bot.send_photo(message.chat.id, photo=result_image_io) # Удаляем использованный фон из БД await conn.execute(“DELETE FROM photos WHERE id = ?”, (photo_info[0],)) await conn.commit() await conn.close() Давайте разделим построение бота на несколько этапов: 1. Создание структуры базы данных. 2. Настройка работающего бота и FSM (машины состояний) 3. Реализация команд /upload, /stop, /user, и /photos. 4. Обработка загрузки фотографий и обработка команды /photos. Перед началом работы убедитесь, что установлены aiogram и aiosqlite и запущен базовый бот с библиотекой aiogram. import asyncio import os import random from io import BytesIO from PIL import Image, ImageFilter, ImageEnhance from aiogram import Bot, Dispatcher, types, executor from aiogram.contrib.fsm_storage.memory import MemoryStorage from aiogram.dispatcher import FSMContext from aiogram.dispatcher.filters.state import State, StatesGroup from aiosqlite import connect TOKEN = “ВАШ_ТОКЕН_БОТА” bot = Bot(token=TOKEN) storage = MemoryStorage() dp = Dispatcher(bot, storage=storage) # Создание таблиц если они не существуют async def init_db(): async with connect(‘bot.db’) as db: await db.execute(“”“ CREATE TABLE IF NOT EXISTS backgrounds ( id INTEGER PRIMARY KEY, user_id INTEGER NOT NULL, photo_id TEXT NOT NULL ) “””) await db.execute(“”“ CREATE TABLE IF NOT EXISTS userphotos ( id INTEGER PRIMARY KEY, user_id INTEGER NOT NULL, photo_id TEXT NOT NULL ) “””) await db.commit() class UploadBackgroundState(StatesGroup): waiting_for_backgrounds = State() class UploadUserPhotoState(StatesGroup): waiting_for_user_photo = State() # Пропустите этот обработчик для команды start @dp.message_handler(commands=[‘start’]) async def send_welcome(message: types.Message): await message.reply(“Привет! Загрузите фоновые изображения командой /upload.”) # Инициируем FSM для загрузки фонов @dp.message_handler(commands=[‘upload’], state=‘*’) async def upload_background_start(message: types.Message): await UploadBackgroundState.waiting_for_backgrounds.set() await message.reply(“Пожалуйста, отправьте фоновые фотографии.”) # Обработка загрузки фоновых фотографий @dp.message_handler(content_types=[‘photo’], state=UploadBackgroundState.waiting_for_backgrounds) async def upload_background(message: types.Message, state: FSMContext): photo_id = message.photo[-1].file_id user_id = message.from_user.id async with connect(‘bot.db’) as db: await db.execute(“INSERT INTO backgrounds (user_id, photo_id) VALUES (?, ?)”, (user_id, photo_id,)) await db.commit() await message.answer(“Фотография загружена.”) # Переход обратно в обычное состояние после команды /stop @dp.message_handler(commands=[‘stop’], state=UploadBackgroundState.waiting_for_backgrounds) async def upload_background_stop(message: types.Message, state: FSMContext): await state.finish() await message.reply(“Загрузка фоновых изображений остановлена.”) # Ваши дополнительные обработчики команд /user, /photos здесь… # Запуск бота async def main(): await init_db() await dp.start_polling() if name == ‘main’: asyncio.run(main()) Этот код содержит основную структуру бота, позволяет загружать фоновые изображения и останавливать загрузку. Команды /user и /photos и дополнительную логику по их обработке нужно реализовать аналогично. Помните, что этот код - только основа. Для полноценной работы бота вам понадобится реализовать логику по скачиванию фотографий, сохранению их в базе данных, а затем смешиванию этих фотографий как описано в вашем примере смены фона. Не стесняйтесь задать вопросы, если что-то неясно или требуется дополнительная помощь! Пожалуйста, продолжи написание кода. Также объясни пожалуйста, для чего в коде импорт os Импорт библиотеки os обычно используется для взаимодействия с операционной системой, таких как пути файлов, переменные окружения и другие функции, связанные с операционной системой. Однако в предложенном коде я не использовал этот модуль, так что он действительно не обязателен и его можно убрать. Давайте продолжим писать код для обработки команд /user и /photos. # Код продолжения # Инициируем FSM для загрузки пользовательских фотографий @dp.message_handler(commands=[‘user’], state=‘‘) async def upload_user_photo_start(message: types.Message): await UploadUserPhotoState.waiting_for_user_photo.set() await message.reply(“Пожалуйста, отправьте фотографии, которые вы хотите использовать на фоне.”) # Обработка загрузки пользовательских фотографий @dp.message_handler(content_types=[‘photo’], state=UploadUserPhotoState.waiting_for_user_photo) async def upload_user_photo(message: types.Message, state: FSMContext): photo_id = message.photo[-1].file_id user_id = message.from_user.id async with connect(‘bot.db’) as db: await db.execute(“INSERT INTO userphotos (user_id, photo_id) VALUES (?, ?)”, (user_id, photo_id,)) await db.commit() await message.answer(“Фотография пользователя загружена.”) # Применить фоны ко всем фото пользователя и отправить их пачками @dp.message_handler(commands=[‘photos’], state=’’) async def apply_photos(message: types.Message, state: FSMContext): user_id = message.from_user.id async with connect(‘bot.db’) as db: # Загружаем все фоновые фото async with db.execute(“SELECT id, photo_id FROM backgrounds”) as cursor: backgrounds = await cursor.fetchall() # Загружаем все фото пользователя async with db.execute(“SELECT id, photo_id FROM userphotos WHERE user_id = ?”, (user_id,)) as cursor: user_photos = await cursor.fetchall() if not backgrounds or not user_photos: await message.reply(“Необходимы и фоны, и фотографии пользователя.”) return for i in range(0, len(backgrounds), len(user_photos)): # Подготавливаем пачку фонов current_backgrounds = backgrounds[i:i + len(user_photos)] # Список для хранения результатов смены фона result_photos_io = [] for background_info, user_photo_info in zip(current_backgrounds, user_photos): background_photo_id, user_photo_id = background_info[1], user_photo_info[1] # Здесь должен быть ваш код для смены фона, который использует # background_photo_id и user_photo_id для скачивания и обработки фотографий # После обработки фотографий добавляйте результат в result_photos_io # Пример: result_photos_io.append(result_image_io) # Удаляем использованный фон из БД await db.execute(“DELETE FROM backgrounds WHERE id = ?”, (background_info[0],)) # Отправляем пользователю пачку обработанных фотографий media_group = types.MediaGroup() for result_io in result_photos_io: media_group.attach_photo(types.InputFile(result_io), ‘’) await bot.send_media_group(message.chat.id, media_group=media_group) await db.commit() # Запуск бота async def main(): await init_db() # Здесь может быть ваш код инициализации, если он требуется await dp.start_polling() # Вспомогательная функция для скачивания фото (предполагается использование в /photos handler) async def download_photo(photo_id): file_path = await bot.get_file(photo_id) data = await bot.download_file(file_path.file_path) return data if name == ‘main’: asyncio.run(main()) Обратите внимание, что для простоты я убрал ваш пример кода смешивания фоновых изображений с изображениями пользователя. Этот код был бы вставлен вместо комментария # Здесь должен быть ваш код для смены фона.... Вам нужно будет дописать эту часть, основываясь на вашей логике обработки изображений. Также учтите, что обработка и отправка большого количества фотографий может занять много времени, поэтому подумайте о реализации некоторого вида индикатора прогресса или асинхронной обработки изображений. Пожалуйста, продолжи написание кода, допиши код для смены фона. Также, если это возможно, убери скачивание фото, желательно, чтобы все было реализовано по photo id Давайте интегрируем ваш пример кода для замены фона в функцию, которая будет вызываться внутри обработчика команды /photos. Поскольку вы хотите использовать photo_id напрямую без скачивания, мы будем использовать API Telegram для получения файловой ссылки, поскольку действующая библиотека Pillow может не поддерживать чтение изображений непосредственно по URL без их предварительной загрузки. from aiogram import types async def apply_background(user_photo_id, background_photo_id): user_photo_url = await bot.get_file_url(user_photo_id) background_photo_url = await bot.get_file_url(background_photo_id) # Подразумевается, что вы используете aiohttp или другой способ для асинхронного получения # фотографий по URL. aiohttp не включён в стандартные библиотеки, поэтому его надо установить. async with aiohttp.ClientSession() as session: async with session.get(user_photo_url) as response: user_photo_data = await response.read() async with session.get(background_photo_url) as response: background_photo_data = await response.read() with Image.open(BytesIO(background_photo_data)) as background, Image.open(BytesIO(user_photo_data)) as user_photo: # … (ваш код обработки изображения) # Сохраняем результат в объект BytesIO и возвращаем его result_image_io = BytesIO() background.save(result_image_io, format=‘PNG’) result_image_io.seek(0) return result_image_io # Далее в обработчике команды /photos, внутри цикла после получения photo_id: result_image_io = await apply_background(user_photo_id, background_photo_id) result_photos_io.append(result_image_io) Не забудьте убедиться, что установили aiohttp для асинхронной загрузки изображений (если вы планируете использовать его): pip install aiohttp Теперь интегрируем новую функцию в обработчик команды /photos: # Используем functools.partial для передачи дополнительных аргументов в обработчик состояний from functools import partial from aiogram.types.input_file import InputFile # Обновим обработчик команды ‘/photos’… # … for background_info, user_photo_info in zip(current_backgrounds, user_photos): background_photo_id, user_photo_id = background_info[1], user_photo_info[1] result_image_io = await apply_background(user_photo_id, background_photo_id) # Проверьте, что result_image_io не None перед добавлением в media_group if result_image_io: result_photos_io.append(InputFile(result_image_io, f’photo_{background_info[0]}.png’)) # Отправляем пользователю пачку обработанных фотографий media_group = types.MediaGroup() for result_io in result_photos_io: media_group.attach_photo(result_io) await bot.send_media_group(message.chat.id, media_group=media_group) # … Обратите внимание, что вам может понадобиться изменить этот код в зависимости от того, как и где вы хотите применить изменения фона и как вы будете отправлять данные обратно в метод send_media_group. Кроме того, если вы используете aiohttp для получения изображений, вам нужно будет дополнительно обработать возможные исключения связанные с сетевым соединением или HTTP запросами. Пожалуйста, напиши полный код обработки изображения Давайте дополним вашу функцию обработки изображения, используя aiohttp для загрузки фотографий по photo_id, и реализуем накладывание фотографии пользователя на фотографию фона. Для начала, установите необходимые библиотеки (если они еще не установлены): pip install aiogram aiosqlite Pillow aiohttp Теперь вот полный код для задачи наложения фотографии пользователя на фоновые изображения: import aiohttp from aiogram import Bot, Dispatcher, types, executor from aiogram.contrib.fsm_storage.memory import MemoryStorage from aiogram.dispatcher import FSMContext from aiogram.dispatcher.filters.state import State, StatesGroup from aiosqlite import connect from PIL import Image, ImageEnhance from io import BytesIO # Ваши импорты и настройки… # Подключаемся к базе данных SQLite async def get_db_connection(): return await connect(‘bot.db’) # Функция для загрузки изображения по URL с помощью aiohttp async def fetch_photo(session, file_path): async with session.get(file_path) as resp: return await resp.read() # Функция для накладывания фотографии пользователя на фон async def apply_background(user_photo_id, background_photo_id): async with aiohttp.ClientSession() as session: user_photo_file = await bot.get_file(user_photo_id) background_photo_file = await bot.get_file(background_photo_id) user_photo_data = await fetch_photo(session, bot.get_file_url(user_photo_file.file_path)) background_photo_data = await fetch_photo(session, bot.get_file_url(background_photo_file.file_path)) with Image.open(BytesIO(background_photo_data)) as background, Image.open(BytesIO(user_photo_data)) as user_photo: # Пропорции и размеры для пользовательского фото с учетом отступов padding = 70 new_user_width = user_photo.width + padding * 2 new_user_height = user_photo.height + padding * 2 user_photo.thumbnail((new_user_width, new_user_height), Image.ANTIALIAS) background = background.convert(“RGBA”) # Рассчитываем новые пропорции для фона new_background_width = max(background.width, new_user_width) new_background_height = max(background.height, new_user_height) # Растягиваем фон до новых размеров background = background.resize((new_background_width, new_background_height), Image.ANTIALIAS) # Если пользовательское изображение не в формате RGBA, конвертируем его if user_photo.mode != ‘RGBA’: user_photo = user_photo.convert(“RGBA”) # Создаем новое изображение с прозрачным фоном new_image = Image.new(‘RGBA’, (new_background_width, new_background_height), (0, 0, 0, 0)) # Вставляем фон new_image.paste(background, (0,0)) # Вставляем пользовательское изображение по центру на фон new_image.paste(user_photo, (int((new_background_width - new_user_width) / 2), int((new_background_height - new_user_height) / 2)), mask=user_photo) # Сохраняем результат result_image_io = BytesIO() new_image.save(result_image_io, format=‘PNG’) result_image_io.seek(0) return result_image_io # Ваш код работы с ботом… if name == ‘main’: executor.start_polling(dp) Обратите внимание, что для запуска данного скрипта вам может понадобиться предварительно создать таблицы в базе данных и добавить логику работы с ботом для обработки команд и загрузки фотографий, как было обсуждено ранее. Теперь, когда у вас есть функция apply_background, вы можете использовать её для обработки фотографий в вашем обработчике /photos. Пожалуйста, обратите внимание, что код выше является концептуальным примером и требует тестирования и возможных корректировок, прежде чем он будет работать в вашем конкретном случае. Отлично! Можешь теперь написать весь итоговый код, без сокращений? Конечно, давайте соберем весь код вместе, чтобы создать функционального бота Telegram. Этот бот будет управлять загрузкой и обработкой фотографий, использованием фонов и отправкой их пользователю. Обратите внимание, что подобные операции с изображениями могут требовать достаточного количества оперативной памяти и времени выполнения для обработки, особенно если фотографии большие. import asyncio from io import BytesIO from PIL import Image import aiohttp from aiogram import Bot, Dispatcher, types, executor from aiogram.contrib.fsm_storage.memory import MemoryStorage from aiogram.dispatcher import FSMContext from aiogram.dispatcher.filters.state import State, StatesGroup from aiosqlite import connect TOKEN = “ВАШ_ТОКЕН_BOTА” # Создаем подключение к боту bot = Bot(token=TOKEN) # Используем память для хранения состояний пользователей storage = MemoryStorage() dp = Dispatcher(bot, storage=storage) async def get_db_connection(): return await connect(‘bot.db’) async def fetch_photo(session, file_path): async with session.get(file_path) as resp: return await resp.read() # Функция для накладывания изображения async def apply_background(user_photo_id, background_photo_id): async with aiohttp.ClientSession() as session: user_photo_file = await bot.get_file(user_photo_id) background_photo_file = await bot.get_file(background_photo_id) user_photo_data = await fetch_photo(session, bot.get_file_url(user_photo_file.file_path)) background_photo_data = await fetch_photo(session, bot.get_file_url(background_photo_file.file_path)) with Image.open(BytesIO(background_photo_data)) as background, Image.open(BytesIO(user_photo_data)) as user_photo: # Масштабируем пользовательское фото под размеры фона user_photo = user_photo.resize(background.size) # Если пользовательское изображение не в формате RGBA, конвертируем его if user_photo.mode != ‘RGBA’: user_photo = user_photo.convert(“RGBA”) # Накладываем пользовательское изображение на фон background.paste(user_photo, (0, 0), user_photo) # Сохраняем результат result_image_io = BytesIO() background.save(result_image_io, format=‘PNG’, quality=95) result_image_io.seek(0) return result_image_io class PhotoState(StatesGroup): upload_background = State() upload_user_photo = State() @dp.message_handler(commands=‘start’, state=‘‘) async def send_welcome(message: types.Message): await message.reply(“Привет! Используй /upload для загрузки фонов и /user для загрузки своих фото.”) # Инциализация начальных состояний @dp.message_handler(commands=‘upload’, state=’’) async def init_upload_background(message: types.Message): await PhotoState.upload_background.set() await message.reply(“Пожалуйста, пришлите фоновые изображения.”) @dp.message_handler(commands=‘user’, state=‘*’) async def init_upload_user_photo(message: types.Message): await PhotoState.upload_user_photo.set() await message.reply(“Пожалуйста, пришлите вашу фотографию.”) # Обработчики для заргузки фоновых и пользовательских фотографий @dp.message_handler(content_types=[‘photo’], state=PhotoState.upload_background) async def handle_upload_background(message: types.Message, state: FSMContext): photo_id = message.photo[-1].file_id async with get_db_connection() as db: await db.execute(“INSERT INTO backgrounds (user_id, photo_id) VALUES (?, ?)”, (message.from_user.id"
97fd17c75b5746f11fb910f5cccead20
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38,733
The following script is working great. Il genere un tts tout en le jouant, ce qui est parfait. Le problème, c'est que dès que j'ai plusieurs tâches que je souhaite jouer à la suite de l'autre, il ne prepare pas à l'avance les futures sons, j'aimerais qu'il le fasse : #!/usr/bin/env python3 """ Basic example of edge_tts usage. """ import asyncio import os import re import time import uuid import pygame import edge_tts TEXT = "Assurez-vous toujours de la bonne réputation de votre tailleur. Il n'y a rien de pire que de se retrouver avec un pantalon déchiré au beau milieu de nulle part !|Toto|male|message" class WoWTTS: FIRST_OVERLAP_MS = -1000 OVERLAP_MS = 800 MALE_VOICES = { "fr-FR-RemyMultilingualNeural", "fr-BE-GerardNeural", "fr-FR-HenriNeural", "fr-CH-FabriceNeural" #"fr-CA-AntoineNeural" } FEMALE_VOICES = { "fr-FR-VivienneMultilingualNeural", "fr-BE-CharlineNeural", "fr-FR-DeniseNeural", "fr-CH-ArianeNeural", "fr-CA-SylvieNeural" } RACES_PITCH = { 'humanoïde': (-30, 20), 'elf': (-15, 15), 'dwarf': (-30, 10), 'orc': (-40, -20) # Add more races and their corresponding pitch ranges as needed } def __init__(self): self.playback_queue = asyncio.Queue() pygame.mixer.init() async def generate_tts_audio(self, text_segments, voice, formatted_pitch): for segment in text_segments: unique_id = str(uuid.uuid4()) file_name = f"{unique_id}.mp3" communicate = edge_tts.Communicate(segment, voice, pitch=formatted_pitch) await communicate.save(file_name) await self.playback_queue.put(file_name) async def playback_loop(self): index = 0 pygame.mixer.init() # Ensure pygame mixer is initialized while True: print(index) file_name = await self.playback_queue.get() sound = pygame.mixer.Sound(file_name) sound.play() length_ms = sound.get_length() * 1000 if index == 0: # Calculate wait_time considering negative overlap for the first sound if WoWTTS.FIRST_OVERLAP_MS < 0: # Play next sound x ms before the current sound ends wait_time = length_ms + WoWTTS.FIRST_OVERLAP_MS else: wait_time = length_ms - WoWTTS.FIRST_OVERLAP_MS else: # Calculate wait_time for subsequent sounds if WoWTTS.OVERLAP_MS < 0: # Play next sound x ms before the current sound ends wait_time = length_ms + WoWTTS.OVERLAP_MS else: wait_time = length_ms - WoWTTS.OVERLAP_MS wait_time = max(wait_time, 0) / 1000.0 # Ensure wait_time is not negative and convert to seconds index += 1 await asyncio.sleep(wait_time) os.remove(file_name) self.playback_queue.task_done() # Mark the task as done after playback async def play(self, text_to_read, npc_sex, npc_race, pitch_index, voice_index, voice_effect): voice = self.get_voice_from_index_and_sex(voice_index, npc_sex) pitch = self.get_pitch_from_index_and_race(pitch_index, npc_race) formatted_pitch = self.format_pitch(pitch) # Split the text into segments of three words text_words = text_to_read.split() #first_segment = " ".join(text_words[:3]) #remaining_text = " ".join(text_words[3:]) # Split the remaining text by .!? text_segments = re.split(r'[.!?,]', text_to_read) text_segments = [seg.strip() for seg in text_segments if seg.strip()] print("Voice : " + voice) # Combine the first segment with the rest of the text segments #text_segments.insert(0, first_segment) generator_task = asyncio.create_task(self.generate_tts_audio(text_segments, voice, formatted_pitch)) playback_task = asyncio.create_task(self.playback_loop()) await generator_task await self.playback_queue.join() # Ensure all queued audio files have been played playback_task.cancel() # Stop the playback loop def get_voice_from_index_and_sex(self, voice_index, npc_sex): voices = WoWTTS.MALE_VOICES if npc_sex.lower() == 'male' else WoWTTS.FEMALE_VOICES voice_list = sorted(list(voices)) index = int(voice_index * (len(voice_list) - 1)) return voice_list[index] def get_pitch_from_index_and_race(self, pitch_index, npc_race): pitch_range = WoWTTS.RACES_PITCH.get(npc_race, (0, 0)) min_pitch, max_pitch = pitch_range pitch = min_pitch + pitch_index * (max_pitch - min_pitch) return pitch def format_pitch(self, pitch): return f"{pitch:+.0f}Hz" if __name__ == '__main__': # Example usage WoWTTS = WoWTTS() async def main(): await WoWTTS.play("Savez-vous, Brahim, qu'il n'y a rien de pire que de se retrouver avec un pantalon déchiré au beau milieu de nulle part !. Bonjour ! Assurez-vous toujours de la bonne réputation de votre tailleur. Il n'y a rien de pire que de se retrouver avec un pantalon déchiré au beau milieu de nulle part !", 'male', 'humanoïde', 0, 0.5, None) await WoWTTS.play("Bonjour ! Ça va bien !", 'male', 'orc', 0.5, 0.8, None) await WoWTTS.play("Bonjour ! Ça va bien !", 'male', 'orc', 0.5, 0.8, None) await WoWTTS.play("Bonjour ! Ça va bien !", 'male', 'orc', 0.5, 0.8, None) await WoWTTS.play("Bonjour ! Ça va bien !", 'male', 'orc', 0.5, 0.8, None) await WoWTTS.play("Bonjour ! Ça va bien !", 'male', 'orc', 0.5, 0.8, None) await WoWTTS.play("Bonjour ! Ça va bien !", 'male', 'orc', 0.5, 0.8, None) # Run the main function in the event loop asyncio.run(main())
21fe5092dd5b28d409734f538086dffd
{ "intermediate": 0.28866469860076904, "beginner": 0.4717915654182434, "expert": 0.23954372107982635 }
38,734
Write function on python, which adds one image on background (1080x1350 px). Image must be centred by x coordinate and in top part of background by y coordinate.
a02a97409c71b39ba97b28815bd744db
{ "intermediate": 0.4126870036125183, "beginner": 0.259233295917511, "expert": 0.3280797302722931 }
38,735
Write the code of XO game in python
c1e04c5f263797eec86b1dc9f6b8aec4
{ "intermediate": 0.3318500518798828, "beginner": 0.2957635819911957, "expert": 0.3723863661289215 }
38,736
There is a problem at await self.playback_queue.join() that make the play function running indefinetly, diagnonise it, fix it. #!/usr/bin/env python3 """ Basic example of edge_tts usage. """ import asyncio import os import re import time import uuid import pygame import edge_tts TEXT = "Assurez-vous toujours de la bonne réputation de votre tailleur. Il n'y a rien de pire que de se retrouver avec un pantalon déchiré au beau milieu de nulle part !|Toto|male|message" class WoWTTS: FIRST_OVERLAP_MS = -1000 OVERLAP_MS = 800 MALE_VOICES = { "fr-FR-RemyMultilingualNeural", "fr-BE-GerardNeural", "fr-FR-HenriNeural", "fr-CH-FabriceNeural" #"fr-CA-AntoineNeural" } FEMALE_VOICES = { "fr-FR-VivienneMultilingualNeural", "fr-BE-CharlineNeural", "fr-FR-DeniseNeural", "fr-CH-ArianeNeural", "fr-CA-SylvieNeural" } RACES_PITCH = { 'humanoïde': (-30, 20), 'elf': (-15, 15), 'dwarf': (-30, 10), 'orc': (-40, -20) # Add more races and their corresponding pitch ranges as needed } def __init__(self): self.playback_queue = asyncio.Queue() pygame.mixer.init() async def generate_tts_audio(self, text_segments, voice, formatted_pitch): for segment in text_segments: unique_id = str(uuid.uuid4()) file_name = f"{unique_id}.mp3" communicate = edge_tts.Communicate(segment, voice, pitch=formatted_pitch) await communicate.save(file_name) await self.playback_queue.put(file_name) async def playback_loop(self): index = 0 pygame.mixer.init() # Ensure pygame mixer is initialized while True: print(index) file_name = await self.playback_queue.get() sound = pygame.mixer.Sound(file_name) sound.play() length_ms = sound.get_length() * 1000 if index == 0: # Calculate wait_time considering negative overlap for the first sound if WoWTTS.FIRST_OVERLAP_MS < 0: # Play next sound x ms before the current sound ends wait_time = length_ms + WoWTTS.FIRST_OVERLAP_MS else: wait_time = length_ms - WoWTTS.FIRST_OVERLAP_MS else: # Calculate wait_time for subsequent sounds if WoWTTS.OVERLAP_MS < 0: # Play next sound x ms before the current sound ends wait_time = length_ms + WoWTTS.OVERLAP_MS else: wait_time = length_ms - WoWTTS.OVERLAP_MS wait_time = max(wait_time, 0) / 1000.0 # Ensure wait_time is not negative and convert to seconds index += 1 await asyncio.sleep(wait_time) os.remove(file_name) self.playback_queue.task_done() # Mark the task as done after playback async def play(self, text_to_read, npc_sex, npc_race, pitch_index, voice_index, voice_effect): voice = self.get_voice_from_index_and_sex(voice_index, npc_sex) pitch = self.get_pitch_from_index_and_race(pitch_index, npc_race) formatted_pitch = self.format_pitch(pitch) # Split the remaining text by .!? text_segments = re.split(r'[.!?,]', text_to_read) text_segments = [seg.strip() for seg in text_segments if seg.strip()] print("Voice : " + voice) # Combine the first segment with the rest of the text segments #text_segments.insert(0, first_segment) generator_task = asyncio.create_task(self.generate_tts_audio(text_segments, voice, formatted_pitch)) playback_task = asyncio.create_task(self.playback_loop()) print("woot1") await generator_task print("woot2") await self.playback_queue.join() # Ensure all queued audio files have been played print("woot3") playback_task.cancel() # Stop the playback loop print("woot4") def get_voice_from_index_and_sex(self, voice_index, npc_sex): voices = WoWTTS.MALE_VOICES if npc_sex.lower() == 'male' else WoWTTS.FEMALE_VOICES voice_list = sorted(list(voices)) index = int(voice_index * (len(voice_list) - 1)) return voice_list[index] def get_pitch_from_index_and_race(self, pitch_index, npc_race): pitch_range = WoWTTS.RACES_PITCH.get(npc_race, (0, 0)) min_pitch, max_pitch = pitch_range pitch = min_pitch + pitch_index * (max_pitch - min_pitch) return pitch def format_pitch(self, pitch): return f"{pitch:+.0f}Hz" if name == 'main': # Example usage WoWTTS = WoWTTS() async def main(): await WoWTTS.play("Savez-vous, Brahim, qu'il n'y a rien de pire que de se retrouver avec un pantalon déchiré au beau milieu de nulle part !. Bonjour ! Assurez-vous toujours de la bonne réputation de votre tailleur. Il n'y a rien de pire que de se retrouver avec un pantalon déchiré au beau milieu de nulle part !", 'male', 'humanoïde', 0, 0.5, None) await WoWTTS.play("Bonjour ! Ça va bien !", 'male', 'orc', 0.5, 0.8, None) await WoWTTS.play("Bonjour ! Ça va bien !", 'male', 'orc', 0.5, 0.8, None) await WoWTTS.play("Bonjour ! Ça va bien !", 'male', 'orc', 0.5, 0.8, None) await WoWTTS.play("Bonjour ! Ça va bien !", 'male', 'orc', 0.5, 0.8, None) await WoWTTS.play("Bonjour ! Ça va bien !", 'male', 'orc', 0.5, 0.8, None) await WoWTTS.play("Bonjour ! Ça va bien !", 'male', 'orc', 0.5, 0.8, None) # Run the main function in the event loop asyncio.run(main())
25677632bb746ef92c83a54f97c652c2
{ "intermediate": 0.3418990969657898, "beginner": 0.48801031708717346, "expert": 0.17009063065052032 }
38,737
//+------------------------------------------------------------------+ //| MTF Stochastic.mq4 | //| 2007, Christof Risch (iya) | //| Stochastic indicator from any timeframe. | //+------------------------------------------------------------------+ // Change Log: // 2.1 2012 07 24 Modified to display only the Signal line (smoothed sma) // cr: 2012 07 20 Added NextHigherAuto to automatically seletc the next higher time frame // Added HidePctD to suppress the Slow line, prn #property link "http://www.forexfactory.com/showthread.php?t=30109" #property indicator_separate_window #property indicator_buffers 4 #property indicator_color1 Green //C'255,255,255' // White // %K line #property indicator_color2 Red //Yellow // DimGray // %D line #property indicator_color3 Green // C'255,255,255' // White // %K line of the current candle #property indicator_color4 Red //Yellow // DimGray // %D line of the current candle #property indicator_level1 80 #property indicator_level2 20 #property indicator_level3 50 #property indicator_levelcolor DarkSlateGray #property indicator_maximum 100 #property indicator_minimum 0 //---- input parameters extern bool NextHigherAuto = true; extern bool HidePctK = false; extern bool HidePctD = false; extern int TimeFrame = 0, // {1=M1, 5=M5, 15=M15, ..., 1440=D1, 10080=W1, 43200=MN1} KPeriod = 11, DPeriod = 3, Slowing = 3, MAMethod = 0, // {0=SMA, 1=EMA, 2=SMMA, 3=LWMA} PriceField = 0; // {0=Hi/Low, 1=Close/Close} extern bool ShowClock = false; // display time to candle close countdown extern color ClockColor = Red; //---- indicator buffers double BufferK[], BufferD[], BufferK_Curr[], BufferD_Curr[]; //---- string IndicatorName = "", TimeLabelName = ""; //+------------------------------------------------------------------+ //| Custom indicator initialization function | //+------------------------------------------------------------------+ int init() { if ( TimeFrame == 0 ) TimeFrame = Period(); if ( NextHigherAuto ) TimeFrame = GetHigherTimeFrame( TimeFrame ) ; //---- name for DataWindow and indicator subwindow label switch(TimeFrame) { case 1: IndicatorName="Period M1"; break; case 5: IndicatorName="Period M5"; break; case 15: IndicatorName="Period M15"; break; case 30: IndicatorName="Period M30"; break; case 60: IndicatorName="Period H1"; break; case 240: IndicatorName="Period H4"; break; case 1440: IndicatorName="Period D1"; break; case 10080: IndicatorName="Period W1"; break; case 43200: IndicatorName="Period MN1"; break; default: {TimeFrame = Period(); init(); return(0);} } IndicatorName = IndicatorName+" Stoch("+KPeriod+","+DPeriod+","+Slowing+")"; IndicatorShortName(IndicatorName); IndicatorDigits(1); string TimeFrameStr = TF2Str(TimeFrame); //---- indicator lines SetIndexBuffer(0,BufferK); SetIndexBuffer(1,BufferD); SetIndexBuffer(2,BufferK_Curr); SetIndexBuffer(3,BufferD_Curr); SetIndexStyle(0,DRAW_LINE,EMPTY,1); //SetIndexStyle(0,DRAW_NONE); SetIndexStyle(2,DRAW_LINE,EMPTY,1); //SetIndexStyle(2,DRAW_NONE); if ( ! HidePctK ) { SetIndexStyle(0,DRAW_LINE,EMPTY,1); SetIndexStyle(2,DRAW_LINE,EMPTY,1); SetIndexLabel(0,TimeFrameStr+" %K line"); SetIndexLabel(2,TimeFrameStr+" %K CurrBar"); } else { SetIndexStyle(0,DRAW_NONE); SetIndexStyle(2,DRAW_NONE); SetIndexLabel(0,NULL); SetIndexLabel(2,NULL); } if ( ! HidePctD ) { SetIndexStyle(1,DRAW_LINE,EMPTY,1); SetIndexStyle(3,DRAW_LINE,EMPTY,1); SetIndexLabel(1,TimeFrameStr+" %D Signal"); SetIndexLabel(3,TimeFrameStr+" %D CurrBar"); } else { SetIndexStyle(1,DRAW_NONE); SetIndexStyle(3,DRAW_NONE); SetIndexLabel(1,NULL); SetIndexLabel(3,NULL); } } //+------------------------------------------------------------------+ int deinit() { if(TimeLabelName!="") if(ObjectFind (TimeLabelName) != -1) ObjectDelete(TimeLabelName); } //+------------------------------------------------------------------+ //| MTF Stochastic | //+------------------------------------------------------------------+ int start() { //---- // counted bars from indicator time frame static int countedBars1 = 0; //---- // counted bars from display time frame if(Bars-1-IndicatorCounted() > 1 && countedBars1!=0) countedBars1 = 0; int bars1 = iBars(NULL,TimeFrame), start1 = bars1-1-countedBars1, limit1 = iBarShift(NULL,TimeFrame,Time[Bars-1]); if(countedBars1 != bars1-1) { countedBars1 = bars1-1; ArrayInitialize(BufferK_Curr,EMPTY_VALUE); ArrayInitialize(BufferD_Curr,EMPTY_VALUE); if(TimeLabelName!="") if(ObjectFind (TimeLabelName) != -1) ObjectDelete(TimeLabelName); } if(start1 > limit1 && limit1 != -1) start1 = limit1; //---- // 3... 2... 1... GO! for(int i = start1; i >= 0; i--) { int shift1 = i; if(TimeFrame < Period()) shift1 = iBarShift(NULL,TimeFrame,Time[i]); int time1 = iTime (NULL,TimeFrame,shift1), shift2 = iBarShift(NULL,0,time1); double stochK = iStochastic(NULL,TimeFrame,KPeriod,DPeriod,Slowing,MAMethod,PriceField,0,shift1), stochD = iStochastic(NULL,TimeFrame,KPeriod,DPeriod,Slowing,MAMethod,PriceField,1,shift1); //---- // old (closed) candles if(shift1>=1) { BufferK[shift2] = stochK; BufferD[shift2] = stochD; } //---- // current candle if((TimeFrame >=Period() && shift1<=1) || (TimeFrame < Period() &&(shift1==0||shift2==1))) { BufferK_Curr[shift2] = stochK; BufferD_Curr[shift2] = stochD; } //---- // linear interpolatior for the number of intermediate bars, between two higher timeframe candles. int n = 1; if(TimeFrame > Period()) { int shift2prev = iBarShift(NULL,0,iTime(NULL,TimeFrame,shift1+1)); if(shift2prev!=-1 && shift2prev!=shift2) n = shift2prev - shift2; } //---- // apply interpolation double factor = 1.0 / n; if(shift1>=1) if(BufferK[shift2+n]!=EMPTY_VALUE && BufferK[shift2]!=EMPTY_VALUE) { for(int k = 1; k < n; k++) { BufferK[shift2+k] = k*factor*BufferK[shift2+n] + (1.0-k*factor)*BufferK[shift2]; BufferD[shift2+k] = k*factor*BufferD[shift2+n] + (1.0-k*factor)*BufferD[shift2]; } } //---- // current candle if(shift1==0) if(BufferK_Curr[shift2+n]!=EMPTY_VALUE && BufferK_Curr[shift2]!=EMPTY_VALUE) { for(k = 1; k < n; k++) { BufferK_Curr[shift2+k] = k*factor*BufferK_Curr[shift2+n] + (1.0-k*factor)*BufferK_Curr[shift2]; BufferD_Curr[shift2+k] = k*factor*BufferD_Curr[shift2+n] + (1.0-k*factor)*BufferD_Curr[shift2]; } //---- // candle time countdown if(ShowClock) { int m,s; s = iTime(NULL,TimeFrame,0)+TimeFrame*60 - TimeCurrent(); m = (s-s%60)/60; s = s%60; string text; if(s<10) text = "0"+s; else text = ""+s; text = " "+m+":"+text; int window = WindowFind(IndicatorName); if(window==-1) window = WindowOnDropped() ; TimeLabelName = IndicatorName+" Time Counter "+window; if(ObjectFind (TimeLabelName) == -1) ObjectCreate(TimeLabelName, OBJ_TEXT, window, Time[shift2], BufferK_Curr[shift2]+3); else ObjectMove (TimeLabelName, 0, Time[shift2], BufferK_Curr[shift2]+3); ObjectSetText (TimeLabelName, text, 8, "Verdana", ClockColor); } } } return(0); } string TF2Str(int iPeriod) { switch(iPeriod) { case PERIOD_M1: return("M1"); case PERIOD_M5: return("M5"); case PERIOD_M15: return("M15"); case PERIOD_M30: return("M30"); case PERIOD_H1: return("H1"); case PERIOD_H4: return("H4"); case PERIOD_D1: return("D1"); case PERIOD_W1: return("W1"); case PERIOD_MN1: return("MN1"); default: return("M"+iPeriod); } return(0); } int GetHigherTimeFrame(int CurrentPeriod ) { if ( CurrentPeriod == 0 ) CurrentPeriod = Period(); if( CurrentPeriod == 1 ) { return(5); } else if( CurrentPeriod == 5 ) { return(15); } else if( CurrentPeriod == 15 ) { return(30); } else if( CurrentPeriod == 30 ) { return(60); } else if( CurrentPeriod == 60 ) { return(240); } else if( CurrentPeriod == 240 ) { return(1440); } else if( CurrentPeriod == 1440 ) { return(10080); } else if( CurrentPeriod == 10080 ) { return(43200); } else if( CurrentPeriod == 43200 ) { return(43200); } } // int GetHigherTimeFrame() perchè nel backtest di mt4 non funziona?
91718ab21a81b1952c9d8e7810fd3816
{ "intermediate": 0.312581330537796, "beginner": 0.2804543673992157, "expert": 0.4069642722606659 }
38,738
There is a problem at await self.playback_queue.join() that make the play function running indefinetly, diagnonise it, fix it. #!/usr/bin/env python3 """ Basic example of edge_tts usage. """ import asyncio import os import re import time import uuid import pygame import edge_tts TEXT = "Assurez-vous toujours de la bonne réputation de votre tailleur. Il n'y a rien de pire que de se retrouver avec un pantalon déchiré au beau milieu de nulle part !|Toto|male|message" class WoWTTS: FIRST_OVERLAP_MS = -1000 OVERLAP_MS = 800 MALE_VOICES = { "fr-FR-RemyMultilingualNeural", "fr-BE-GerardNeural", "fr-FR-HenriNeural", "fr-CH-FabriceNeural" #"fr-CA-AntoineNeural" } FEMALE_VOICES = { "fr-FR-VivienneMultilingualNeural", "fr-BE-CharlineNeural", "fr-FR-DeniseNeural", "fr-CH-ArianeNeural", "fr-CA-SylvieNeural" } RACES_PITCH = { 'humanoïde': (-30, 20), 'elf': (-15, 15), 'dwarf': (-30, 10), 'orc': (-40, -20) # Add more races and their corresponding pitch ranges as needed } def __init__(self): self.playback_queue = asyncio.Queue() pygame.mixer.init() async def generate_tts_audio(self, text_segments, voice, formatted_pitch): for segment in text_segments: unique_id = str(uuid.uuid4()) file_name = f"{unique_id}.mp3" communicate = edge_tts.Communicate(segment, voice, pitch=formatted_pitch) await communicate.save(file_name) await self.playback_queue.put(file_name) async def playback_loop(self): index = 0 pygame.mixer.init() # Ensure pygame mixer is initialized while True: print(index) file_name = await self.playback_queue.get() sound = pygame.mixer.Sound(file_name) sound.play() length_ms = sound.get_length() * 1000 if index == 0: # Calculate wait_time considering negative overlap for the first sound if WoWTTS.FIRST_OVERLAP_MS < 0: # Play next sound x ms before the current sound ends wait_time = length_ms + WoWTTS.FIRST_OVERLAP_MS else: wait_time = length_ms - WoWTTS.FIRST_OVERLAP_MS else: # Calculate wait_time for subsequent sounds if WoWTTS.OVERLAP_MS < 0: # Play next sound x ms before the current sound ends wait_time = length_ms + WoWTTS.OVERLAP_MS else: wait_time = length_ms - WoWTTS.OVERLAP_MS wait_time = max(wait_time, 0) / 1000.0 # Ensure wait_time is not negative and convert to seconds index += 1 await asyncio.sleep(wait_time) os.remove(file_name) self.playback_queue.task_done() # Mark the task as done after playback async def play(self, text_to_read, npc_sex, npc_race, pitch_index, voice_index, voice_effect): voice = self.get_voice_from_index_and_sex(voice_index, npc_sex) pitch = self.get_pitch_from_index_and_race(pitch_index, npc_race) formatted_pitch = self.format_pitch(pitch) # Split the remaining text by .!? text_segments = re.split(r'[.!?,]', text_to_read) text_segments = [seg.strip() for seg in text_segments if seg.strip()] print("Voice : " + voice) # Combine the first segment with the rest of the text segments #text_segments.insert(0, first_segment) generator_task = asyncio.create_task(self.generate_tts_audio(text_segments, voice, formatted_pitch)) playback_task = asyncio.create_task(self.playback_loop()) print("woot1") await generator_task print("woot2") await self.playback_queue.join() # Ensure all queued audio files have been played print("woot3") playback_task.cancel() # Stop the playback loop print("woot4") def get_voice_from_index_and_sex(self, voice_index, npc_sex): voices = WoWTTS.MALE_VOICES if npc_sex.lower() == 'male' else WoWTTS.FEMALE_VOICES voice_list = sorted(list(voices)) index = int(voice_index * (len(voice_list) - 1)) return voice_list[index] def get_pitch_from_index_and_race(self, pitch_index, npc_race): pitch_range = WoWTTS.RACES_PITCH.get(npc_race, (0, 0)) min_pitch, max_pitch = pitch_range pitch = min_pitch + pitch_index * (max_pitch - min_pitch) return pitch def format_pitch(self, pitch): return f"{pitch:+.0f}Hz" if name == 'main': # Example usage WoWTTS = WoWTTS() async def main(): await WoWTTS.play("Savez-vous, Brahim, qu'il n'y a rien de pire que de se retrouver avec un pantalon déchiré au beau milieu de nulle part !. Bonjour ! Assurez-vous toujours de la bonne réputation de votre tailleur. Il n'y a rien de pire que de se retrouver avec un pantalon déchiré au beau milieu de nulle part !", 'male', 'humanoïde', 0, 0.5, None) await WoWTTS.play("Bonjour ! Ça va bien !", 'male', 'orc', 0.5, 0.8, None) await WoWTTS.play("Bonjour ! Ça va bien !", 'male', 'orc', 0.5, 0.8, None) await WoWTTS.play("Bonjour ! Ça va bien !", 'male', 'orc', 0.5, 0.8, None) await WoWTTS.play("Bonjour ! Ça va bien !", 'male', 'orc', 0.5, 0.8, None) await WoWTTS.play("Bonjour ! Ça va bien !", 'male', 'orc', 0.5, 0.8, None) await WoWTTS.play("Bonjour ! Ça va bien !", 'male', 'orc', 0.5, 0.8, None) # Run the main function in the event loop asyncio.run(main())
fa692b7d90de24a479ce7462bbf55290
{ "intermediate": 0.3418990969657898, "beginner": 0.48801031708717346, "expert": 0.17009063065052032 }
38,739
Fix this script : # Split the remaining text by .!? text_segments = re.split(r’[.!?,]‘, text_to_read) text_segments = [seg.strip() for seg in text_segments if seg.strip()] “Un individu mystérieux est arrivé il y a un moment par un de ces portails temporels. Et m’a dit avoir besoin de votre aide pour déjouer une menace, pas très loin. Une histoire d’appareil de camouflage… mais que ce qu’il dissimule ne vous plaira sans doute pas une fois révélé. En fait, ça se trouve, vous n’aimerez pas cet individu mystère non plus.” [’“Un individu mystérieux est arrivé il y a un moment par un de ces portails temporels’, ‘Et m’a dit avoir besoin de votre aide pour déjouer une menace’, ‘pas très loin’, ‘Une histoire d’appareil de camouflage… mais que ce qu’il dissimule ne vous plaira sans doute pas une fois révélé’, ‘En fait’, ‘ça se trouve’, ‘vous n’aimerez pas cet individu mystère non plus’, ‘”’]
8fb622baafc079b2d4eaeed8726abf2b
{ "intermediate": 0.35467958450317383, "beginner": 0.3502785265445709, "expert": 0.29504188895225525 }
38,740
Project Details: Key Terms and Concepts: Financial Goals: ROA (Return on Assets): Calculated using two methods: ROA-AVG-SAMPLE and ROA-T-SAMPLE. Historical Aspiration for Financial Goal: Method 1 (ROA-AVG-SAMPLE): FIN-Diff-HA-AVG-Dummy Method 2 (ROA-T-SAMPLE): FIN-Diff-HA-T-Dummy Social Aspiration for Financial Goal: Method 1 (ROA-AVG-SAMPLE): FIN-SA-Diff-AVG-Dummy Method 2 (ROA-T-SAMPLE): FIN-SA-Diffl-T-Dummy Social Goals: Social Score (BE): Performance measure for social goals. Social Aspiration for Social Goal: Dummy-SA-Social-Score Label-Social-HA-Dummy Industry Variables: Indicators for various industries. Control Variables: Debt-to-Equity: Measure of the firm's ability to secure resources with debt financing. Ticker: Company identifier. Temporal Effects: Dummy variables for each year. Duality: CEO serving as both CEO and Chairman. CEO-related Variables: Age, Tenure, Gender-Dummy. Size Variables: Logarithm of firm size based on assets and employees. Audit Committee Variables: Audit-Committee-Independence-Score, Independent-Board-Members. Other Variables: Earnings-Restatement, Social-Average: Disregarded variables. SCAC-AAER-REFINITIV: Measure for accounting fraud (0 or 1 with excessive zeros). Systematic-Risk-Final, Non-Systematic-Risk: Control variables for risk. Interaction Effects: Exploration needed for historical and social aspirations. Dependent Variables for Regression: Accounting Fraud: SCAC-AAER-REFINITIV (binary with excessive zeros). Potential Additional Variable: Absolute-DA (continuous variable). Analytical Approach: Considered Methods: Logistic Regression, Zero-Inflated Logistic Regression, Probit, Logit. Panel Data: Fixed effects models are crucial for handling panel data. Next Steps: Initial regression analysis: Accounting Fraud vs. Historical Aspiration for Financial and Social Goals. Accounting Fraud vs. Social Aspiration for Financial and Social Goals. Future Collaboration: Possibility of working on another project once the current one is completed. Additional Notes: The conversation emphasizes the importance of exploring the interaction effects of historical and social aspirations on the likelihood of accounting fraud. Consideration of additional features and distribution/correlation analysis. The need for collaboration in Python for regression analysis. Recommendations: Explore logistic regression, zero-inflated logistic regression, or probit models for handling the binary dependent variable with excessive zeros. Utilize fixed effects models for panel data analysis. Regular communication and collaboration on the progress and challenges faced during the analysis.
3d8d0c1a95c00a8896f984bca9f378ee
{ "intermediate": 0.4004147946834564, "beginner": 0.3421447277069092, "expert": 0.25744056701660156 }
38,741
wheres Palworlds save location
d44b1bc43741f4a4698afbd35af42067
{ "intermediate": 0.35955193638801575, "beginner": 0.3547367751598358, "expert": 0.28571122884750366 }
38,742
Hio
36708c4d2e18652152321171cd3ab1e8
{ "intermediate": 0.35876697301864624, "beginner": 0.26538264751434326, "expert": 0.3758503794670105 }
38,743
We have a huge enterprise hospital information management system application which is built in Java 8 and mysql as database That application is called medics. In medics we can do many types of transactions like bills, receipts, advances, refunds, generate lab reports, goods receipt notes, etc… There are many of our sub products which wanted this information in real time. So we implemented kafka and producing the events whenever any transaction was done in medics. This was working but some times due to some issues kafka is getting stopped and in the medics application we coudlnt able to do any transactions and it is becoming a panic situation because no transactions are happening and patients are waiting in the hospitals. so we have to suggest them to do manual transactions by delinking kafka for some time till it got up. and also when the kafka started back, there is no way we can get those transactions back and produce them. So what we are thinking of doing is whenever the transaction is done we will store the complete message in our mysql table and thenin another thread kafka will take it from there and publish it and then update the status for that message as delivered or some thing We decided to do this program in node js like below const mysql = require('mysql2/promise'); const Kafka = require('node-rdkafka'); const { promisify } = require('util'); const winston = require('winston'); const DailyRotateFile = require('winston-daily-rotate-file'); const express = require('express'); // Create a logger with Winston const logger = winston.createLogger({ transports: [ new DailyRotateFile({ level: 'info', filename: 'logs/application-%DATE%.log', datePattern: 'YYYY-MM-DD', zippedArchive: true, maxSize: '20m', maxFiles: '14d', // Keep logs for 14 days json: true, }), ], }); // MySQL configuration const mysqlConfig = { host: process.env.MYSQL_HOST || 'localhost', user: process.env.MYSQL_USER || 'root', password: process.env.MYSQL_PASSWORD || 'password', database: process.env.MYSQL_DATABASE || 'your-database-name', table: process.env.MYSQL_TABLE || 'notification_queue', }; // Kafka configuration const kafkaConfig = { 'metadata.broker.list': process.env.KAFKA_BROKERS || 'localhost:9092', 'group.id': process.env.KAFKA_GROUP || 'kafka-group', 'enable.auto.commit': false, }; const consumer = new Kafka.KafkaConsumer(kafkaConfig); // Flag to prevent concurrent polling let isPolling = false; // Lock to ensure the application runs only once let isAppRunning = false; // Set to store processed message IDs and prevent duplicates const processedMessageIds = new Set(); async function connectToDatabase() { const connection = await mysql.createConnection(mysqlConfig); return connection; } function createKafkaProducer() { const producer = new Kafka.Producer(kafkaConfig); producer.connect(); return producer; } async function publishMessage(producer, topic, payload) { const produceAsync = promisify(producer.produce.bind(producer)); try { await produceAsync(topic, null, Buffer.from(payload)); logger.info('Message published to Kafka successfully.', { payload }); } catch (error) { logger.error('Error publishing message to Kafka:', { error, payload }); // Optionally, you might want to implement a retry mechanism here } } async function publishMessageWithRetry(producer, topic, payload, retryCount = 3) { const messageId = /* Generate a unique identifier for the message */; if (processedMessageIds.has(messageId)) { logger.warn(`Duplicate message detected. Skipping: ${payload}`); return; } for (let attempt = 1; attempt <= retryCount; attempt++) { try { await publishMessage(producer, topic, payload); processedMessageIds.add(messageId); break; // Break the loop if successful } catch (error) { logger.warn(`Error publishing message to Kafka (Attempt ${attempt}):`, { error, payload }); if (attempt === retryCount) { logger.error(`Max retry attempts reached. Skipping message: ${payload}`); // Log or handle the fact that the message could not be sent after multiple retries logMessageSendFailure(payload); } else { // Optionally, you might want to add a delay between retry attempts await new Promise((resolve) => setTimeout(resolve, 1000)); } } } } async function logMessageSendFailure(payload) { // Add your custom logic for logging or handling the failure logger.error(`Message could not be sent after multiple retries: ${payload}`); // You might also want to notify administrators or take additional actions here } async function fetchAndPublishRecords() { if (isPolling) { logger.warn('Previous polling is still in progress. Skipping current poll.'); return; } if (isAppRunning) { logger.warn('The application is already running. Skipping current execution.'); return; } isAppRunning = true; const connection = await connectToDatabase(); const producer = createKafkaProducer(); try { // Fetch a batch of records from the notification_queue table const [rows] = await connection.execute(`SELECT * FROM ${mysqlConfig.table} WHERE STATUS = 'pending' LIMIT 100`); if (rows.length > 0) { // Create an array to store produced messages const producedMessages = []; // Produce messages to Kafka with retry await Promise.all( rows.map(async (row) => { const payload = JSON.stringify(row); try { await publishMessageWithRetry(producer, 'your-kafka-topic', payload); // Update status, delivered_at, and error_message fields in the notification_queue table await connection.execute( `UPDATE ${mysqlConfig.table} SET STATUS = 'delivered', delivered_at = CURRENT_TIMESTAMP(), error_message = NULL WHERE id = ?`, [row.id] ); producedMessages.push(row.id); } catch (error) { // If an error occurs during publishing, update the error_message field in the notification_queue table await connection.execute( `UPDATE ${mysqlConfig.table} SET STATUS = 'failed', delivered_at = CURRENT_TIMESTAMP(), error_message = ? WHERE id = ?`, [error.message, row.id] ); logger.warn(`Error publishing message to Kafka: ${error.message}`, { payload }); } }) ); // Await producer flush for proper control of the message send process await new Promise((resolve) => { producer.flush(5000, (err) => { if (err) { logger.error('Error flushing Kafka producer:', { error: err }); // Optionally, you might want to handle the error or retry producing messages } else { logger.info('Records published to Kafka successfully.'); } resolve(); }); }); // Optionally, update status to 'delivered' in the notification_queue table for the produced messages if (producedMessages.length > 0) { const ids = producedMessages.join(','); await connection.execute(`UPDATE ${mysqlConfig.table} SET STATUS = 'delivered' WHERE id IN (${ids})`); } } } catch (error) { logger.error('Error fetching and publishing records:', { error }); // Update error_message field in the notification_queue table for pending records await connection.execute( `UPDATE ${mysqlConfig.table} SET STATUS = 'failed', error_message = ? WHERE STATUS = 'pending'`, [error.message] ); } finally { await connection.end(); isAppRunning = false; isPolling = false; } } // Poll for records and publish every 1 minute (configurable) setInterval(fetchAndPublishRecords, process.env.POLL_INTERVAL || 60000); // Create a health check endpoint const app = express(); const port = process.env.PORT || 3000; app.get('/health', (req, res) => { const healthStatus = { status: 'ok', isPolling, isAppRunning, processedMessageCount: processedMessageIds.size, // Add any additional health-related information here }; res.json(healthStatus); }); app.listen(port, () => { logger.info(`Health check server listening at http://localhost:${port}/health`); }); our application has to handle thousands of transcations per second, so this node js thread should pick them and produce them in almost real time. so is this single file enough to handle such huge data or should we need to re structure this ?
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"Example. (i) Given a vector space 𝑉, we have a linear map 𝛼𝑉 ∶ 𝑉 → 𝑉⋆⋆ sending 𝑣 ∈ 𝑉 to the map 𝑓 ↦ 𝑓(𝑣). This is a natural transformation 𝛼 ∶ 1Vect𝑘 → (−)⋆⋆. The naturality squares are of the form where 𝛼𝑉 (𝑣) = 𝑓 ↦ 𝑓(𝑣); 𝑓⋆⋆(𝑔)(ℎ) = 𝑔(𝑓⋆ℎ) = 𝑔(ℎ ∘ 𝑓)" Please explain the last line of this
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