row_id int64 0 48.4k | init_message stringlengths 1 342k | conversation_hash stringlengths 32 32 | scores dict |
|---|---|---|---|
15,673 | i have three levels of groups in hierarchy design by flutter this page allow me to recieve data from user : from any group level and save , and also note how can i show data in hierarchy pattern | 7afc6295388c2638543d789adba57fcc | {
"intermediate": 0.48271751403808594,
"beginner": 0.18360625207424164,
"expert": 0.333676278591156
} |
15,674 | Write me code for C# development WPF calendar | bc9825b8aaf6276e94a3c6540bcb32bd | {
"intermediate": 0.5577641129493713,
"beginner": 0.32550275325775146,
"expert": 0.11673308163881302
} |
15,675 | Can you remove any thing about stopLoss from my code please , code: def get_futures_balance(symbol):
try:
balance = mexc_futures.fetch_balance()
futures_balance = balance['info']['data'][symbol]
return futures_balance['total']
except Exception as e:
print(f"Error getting futures balance: {e}")
return 0
futures_balance = get_futures_balance(symbol)
quantity = futures_balance * 0.5
print(f"Quantity: {quantity}")
def execute_order(symbol, order_type, side, quantity):
try:
order_params = {
'symbol': symbol,
'side': side,
'type': order_type,
'quantity': quantity,
'stopPrice': None
}
order = mexc_futures.create_order(**order_params)
return order
except Exception as e:
print(f"Error executing order: {e}")
return None
def set_stop_loss(symbol, side, quantity):
try:
# Calculate stop loss price based on your strategy
stop_loss_price = 0.0 # Calculate the desired stop loss price
order_params = {
'symbol': symbol,
'side': "SELL" if side == "BUY" else "BUY",
'type': 'STOP_MARKET',
'stopPrice': stop_loss_price,
'closePosition': True # Close the entire position
}
order = mexc_futures.create_order(**order_params)
return order
except Exception as e:
print(f"Error setting stop loss: {e}")
return None
def cancel_order(symbol, order_id):
try:
mexc_futures.cancel_orders([order_id], symbol)
print("Order cancelled successfully.")
except Exception as e:
print(f"Error cancelling order: {e}")
def get_open_orders(symbol):
try:
orders = mexc_futures.fetch_open_orders(symbol)
return orders
except Exception as e:
print(f"Error getting open orders: {e}")
return []
def close_position(symbol, stop_loss_order_id):
cancel_order(symbol, stop_loss_order_id)
# Rest of the code…
signal = signal_generator(df)
stop_loss_order_id = None
while True:
stop_loss_order = set_stop_loss(symbol, 'BUY', quantity)
orders = mexc_futures.fetch_open_orders(symbol)
df = get_klines(symbol, '1m', 44640)
if signal is not None:
print(f"The signal time is: {dt.datetime.now().strftime('%Y-%m-%d %H:%M:%S')}:{signal}")
time.sleep(1)
if signal == 'buy':
open_orders = get_open_orders(symbol)
if not open_orders:
# Open Long position
quantity = 1 # Set your desired quantity here
order = execute_order(symbol, 'MARKET', 'BUY', quantity)
if order:
print(f"Opened Long position. Order ID: {order['id']}")
# Set Stop Loss at -50%
stop_loss_order = set_stop_loss(symbol, 'BUY', quantity)
if stop_loss_order:
stop_loss_order_id = stop_loss_order['id']
print(f"Stop Loss order set. Order ID: {stop_loss_order_id}")
elif stop_loss_order_id is not None:
# Check if Stop Loss order has been triggered
stop_loss_order = [order for order in open_orders if order['id'] == stop_loss_order_id][0]
if stop_loss_order['status'] == 'closed':
print("Stop Loss order triggered. Closing Long position…")
# Close Long position
close_position(symbol, stop_loss_order_id)
stop_loss_order_id = None
elif signal == 'sell':
open_orders = get_open_orders(symbol)
if not open_orders:
# Open Short position
quantity = 1 # Set your desired quantity here
order = execute_order(symbol, 'MARKET', 'SELL', quantity)
if order:
print(f"Opened Short position. Order ID: {order['id']}")
# Set Stop Loss at -50%
stop_loss_order = set_stop_loss(symbol, 'SELL', quantity)
if stop_loss_order:
stop_loss_order_id = stop_loss_order['id']
print(f"Stop Loss order set. Order ID: {stop_loss_order_id}")
elif stop_loss_order_id is not None:
# Check if Stop Loss order has been triggered
stop_loss_order = [order for order in open_orders if order['id'] == stop_loss_order_id][0]
if stop_loss_order['status'] == 'closed':
print("Stop Loss order triggered. Closing Short position…")
# Close Short position
close_position(symbol, stop_loss_order_id)
stop_loss_order_id = None
time.sleep(1) | 55c3d96c6be2793bd31c39bd618ca28d | {
"intermediate": 0.3671749532222748,
"beginner": 0.32156291604042053,
"expert": 0.3112621009349823
} |
15,676 | I used your code: import time
from binance.client import Client
from binance.exceptions import BinanceAPIException
from binance.helpers import round_step_size
import pandas as pd
import json
import numpy as np
import pytz
import datetime as dt
import ccxt
from decimal import Decimal
import requests
import hmac
import hashlib
import ntplib
import os
import ta
import ta.volatility
API_KEY = ''
API_SECRET = ''
client = Client(API_KEY, API_SECRET)
def sync_time():
server_time = requests.get('https://api.binance.com/api/v3/time').json()['serverTime']
local_time = int(time.time() * 1000)
time_difference = server_time - local_time
# Set the system clock to the new time
os.system(f'sudo date -s @{int(server_time/1000)}')
print(f'New time: {dt.datetime.now()}')
# Sync your local time with the server time
sync_time()
# Set the endpoint and parameters for the request
url = "https://fapi.binance.com/fapi/v1/klines"
symbol = 'BCH/USDT'
interval = '1m'
lookback = 44640
timestamp = int(time.time() * 1000) - 500 # subtract 500ms from local time to account for clock-drift
recv_window = 60000 # increased recv_window value
params = {
"symbol": symbol.replace("/", ""),
"interval": interval,
"startTime": int((time.time() - lookback * 60) * 1000),
"endTime": int(time.time() * 1000),
"timestamp": timestamp,
"recvWindow": recv_window
}
# Sign the message using the Client’s secret key
message = "&".join([f"{k}={v}" for k, v in params.items()])
signature = hmac.new(API_SECRET.encode(), message.encode(), hashlib.sha256).hexdigest()
params[signature] = signature
# Send the request using the requests library
response = requests.get(url, params=params, headers={'X-MBX-APIKEY': API_KEY})
# Check for errors in the response
response.raise_for_status()
API_KEY_MEXC = ''
API_SECRET_MEXC = ''
# Initialize MEXC client
mexc_futures = ccxt.mexc({
'apiKey': API_KEY_MEXC,
'secret': API_SECRET_MEXC,
'enableRateLimit': True,
'options': {
'defaultType': 'future',
}
})
time.sleep(1)
def get_klines(symbol, interval, lookback):
url = "https://fapi.binance.com/fapi/v1/klines"
end_time = int(time.time() * 1000) # end time is now
start_time = end_time - (lookback * 60 * 1000) # start time is lookback minutes ago
symbol = symbol.replace("/", "") # remove slash from symbol
query_params = f"?symbol={symbol}&interval={interval}&startTime={start_time}&endTime={end_time}"
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36'
}
response = requests.get(url + query_params, headers=headers)
response.raise_for_status()
data = response.json()
if not data: # if data is empty, return None
print('No data found for the given timeframe and symbol')
return None
ohlcv = []
for d in data:
timestamp = dt.datetime.fromtimestamp(d[0]/1000).strftime('%Y-%m-%d %H:%M:%S')
ohlcv.append({
'Open time': timestamp,
'Open': float(d[1]),
'High': float(d[2]),
'Low': float(d[3]),
'Close': float(d[4]),
'Volume': float(d[5])
})
df = pd.DataFrame(ohlcv)
df.set_index('Open time', inplace=True)
return df
df = get_klines(symbol, interval, lookback)
def signal_generator(df):
if df is None:
return ''
ema_analysis = []
candle_analysis = []
df['EMA5'] = df['Close'].ewm(span=5, adjust=False).mean()
df['EMA20'] = df['Close'].ewm(span=20, adjust=False).mean()
df['EMA100'] = df['Close'].ewm(span=100, adjust=False).mean()
df['EMA200'] = df['Close'].ewm(span=200, adjust=False).mean()
if (
df['EMA5'].iloc[-1] > df['EMA20'].iloc[-1] and
df['EMA20'].iloc[-1] > df['EMA100'].iloc[-1] and
df['EMA100'].iloc[-1] > df['EMA200'].iloc[-1] and
df['EMA5'].iloc[-2] < df['EMA20'].iloc[-2] and
df['EMA20'].iloc[-2] < df['EMA100'].iloc[-2] and
df['EMA100'].iloc[-2] < df['EMA200'].iloc[-2]
):
ema_analysis.append('golden_cross')
elif (
df['EMA5'].iloc[-1] < df['EMA20'].iloc[-1] and
df['EMA20'].iloc[-1] < df['EMA100'].iloc[-1] and
df['EMA100'].iloc[-1] < df['EMA200'].iloc[-1] and
df['EMA5'].iloc[-2] > df['EMA20'].iloc[-2] and
df['EMA20'].iloc[-2] > df['EMA100'].iloc[-2] and
df['EMA100'].iloc[-2] > df['EMA200'].iloc[-2]
):
ema_analysis.append('death_cross')
if (
df['Close'].iloc[-1] > df['Open'].iloc[-1] and
df['Open'].iloc[-1] > df['Low'].iloc[-1] and
df['High'].iloc[-1] > df['Close'].iloc[-1]
):
candle_analysis.append('bullish_engulfing')
elif (
df['Close'].iloc[-1] < df['Open'].iloc[-1] and
df['Open'].iloc[-1] < df['High'].iloc[-1] and
df['Low'].iloc[-1] > df['Close'].iloc[-1]
):
candle_analysis.append('bearish_engulfing')
bollinger_std = df['Close'].rolling(window=20).std()
df['UpperBand'] = df['EMA20'] + (bollinger_std * 2)
df['LowerBand'] = df['EMA20'] - (bollinger_std * 2)
if (
df['Close'].iloc[-1] > df['UpperBand'].iloc[-1] and
df['Close'].iloc[-2] < df['UpperBand'].iloc[-2]
):
candle_analysis.append('upper_band_breakout')
elif (
df['Close'].iloc[-1] < df['LowerBand'].iloc[-1] and
df['Close'].iloc[-2] > df['LowerBand'].iloc[-2]
):
candle_analysis.append('lower_band_breakout')
if ('golden_cross' in ema_analysis and 'bullish_engulfing' in candle_analysis) or 'upper_band_breakout' in candle_analysis:
return 'buy'
elif ('death_cross' in ema_analysis and 'bearish_engulfing' in candle_analysis) or 'lower_band_breakout' in candle_analysis:
return 'sell'
else:
return ''
end_time = int(time.time() * 1000)
start_time = end_time - lookback * 60 * 1000
def get_futures_balance(symbol):
try:
balance = mexc_futures.fetch_balance()
print(balance) # Add this line to inspect the balance variable
futures_balance = balance['info']['data'][symbol]
return futures_balance['total']
except Exception as e:
print(f"Error getting futures balance: {e}")
return 0
futures_balance = get_futures_balance(symbol)
quantity = futures_balance * 0.5
print(f"Quantity: {quantity}")
def execute_order(symbol, order_type, side, quantity):
try:
order_params = {
'symbol': symbol,
'side': side,
'type': order_type,
'quantity': quantity
}
order = mexc_futures.create_order(**order_params)
return order
except Exception as e:
print(f"Error executing order: {e}")
return None
def cancel_order(symbol, order_id):
try:
mexc_futures.cancel_orders([order_id], symbol)
print("Order cancelled successfully.")
except Exception as e:
print(f"Error cancelling order: {e}")
def get_open_orders(symbol):
try:
orders = mexc_futures.fetch_open_orders(symbol)
return orders
except Exception as e:
print(f"Error getting open orders: {e}")
return []
def close_position(symbol):
try:
open_orders = get_open_orders(symbol)
if open_orders:
for order in open_orders:
cancel_order(symbol, order['id'])
except Exception as e:
print(f"Error closing position: {e}")
# Rest of the code…
signal = signal_generator(df)
while True:
orders = mexc_futures.fetch_open_orders(symbol)
df = get_klines(symbol, '1m', 44640)
if signal is not None:
print(f"The signal time is: {dt.datetime.now().strftime('%Y-%m-%d %H:%M:%S')}:{signal}")
time.sleep(1)
if signal == 'buy':
open_orders = get_open_orders(symbol)
if not open_orders:
# Open Long position
quantity = 1 # Set your desired quantity here
order = execute_order(symbol, 'MARKET', 'BUY', quantity)
if order:
print(f"Opened Long position. Order ID: {order['id']}")
else:
# Close all open orders
close_position(symbol)
elif signal == 'sell':
open_orders = get_open_orders(symbol)
if not open_orders:
# Open Short position
quantity = 1 # Set your desired quantity here
order = execute_order(symbol, 'MARKET', 'SELL', quantity)
if order:
print(f"Opened Short position. Order ID: {order['id']}")
else:
# Close all open orders
close_position(symbol)
time.sleep(1)
But it doesn't give me any signal , please tell me where is problem ? | 4753fff11f315661faf11ee3b27efb41 | {
"intermediate": 0.4894009232521057,
"beginner": 0.322678804397583,
"expert": 0.1879202276468277
} |
15,677 | How to get all textures in dx9 window in c++? | 43917569adfeb2d7418597ff7fee1a1e | {
"intermediate": 0.5381284952163696,
"beginner": 0.17481456696987152,
"expert": 0.28705698251724243
} |
15,678 | how can i fix this error (pymysql.err.OperationalError) (2006, "MySQL server has gone away (ConnectionResetError(10054, 'An existing connection was forcibly closed by the remote host', None, 10054, None))") | a7af9ff8a88ef1ddfc689a903b5270c2 | {
"intermediate": 0.5950064063072205,
"beginner": 0.20329950749874115,
"expert": 0.2016940861940384
} |
15,679 | How to get all textures from dx9 window in c++? | 7b47a3c3cd70734f63d290d8544b0477 | {
"intermediate": 0.5603081583976746,
"beginner": 0.1640310138463974,
"expert": 0.2756608724594116
} |
15,680 | How to get all textures from dx9 window in c++? d3dDevice->EnumResources not found | 627d2f256803d885e798c8a5a2695b5d | {
"intermediate": 0.6284607648849487,
"beginner": 0.20777447521686554,
"expert": 0.16376477479934692
} |
15,681 | how to connect mysql database using flask.sqlalchemy | 9e1b236e20cbdcafbd81a41472383bf0 | {
"intermediate": 0.6984723210334778,
"beginner": 0.15471230447292328,
"expert": 0.14681538939476013
} |
15,682 | I want you to design command prompt for chatgpt to design best learning course on (Topic). in this course devide each topic into multiples of subtopic and suggest best free online course for each subtopic from free platform. | a78111cb3c23cc85c1a99d872cad0a84 | {
"intermediate": 0.28966471552848816,
"beginner": 0.2659693956375122,
"expert": 0.44436588883399963
} |
15,683 | How to save dx9 texture to png in c++? | 8802c4e022b89f7faeebf1b64c285067 | {
"intermediate": 0.4299154579639435,
"beginner": 0.14698754251003265,
"expert": 0.42309698462486267
} |
15,684 | How to save dx9 texture to png in c++? | 1da142cb8e1f2264d0f904ee437a6751 | {
"intermediate": 0.4299154579639435,
"beginner": 0.14698754251003265,
"expert": 0.42309698462486267
} |
15,685 | My range of data in I:J starts at row 5.
In the range, all the cells in column J have values.
In the range, some of the cells in column I are empty.
As you move down the range cell by cell, not all the empty cells in column I are grouped together.
Occassionaly, a group of empty cells in column I is interupted by a cell or group of cells with values.
I need a VBA code that will loop through all the cells in column J that have values,
copy to memory all the values of column J where the value of column I on the same row is empty,
then after completeing the entire loop of column J that has values, copy the matches (where I = "") stored in memory to column F starting at F9.
The code below finds the first group of cells in column I where the values are empty but the loop stops and does not does not complete when it again encounters a cell in column I that has a value.
Can you ammend the code below to provide the functionality described above.
Sub IncompleteJobs()
Dim wscf As Worksheet
Dim wsjr As Worksheet
Dim lastRow As Long
Dim copyRange As Range
Dim i As Long
ActiveSheet.Range("F9:F38").ClearContents
Application.Wait (Now + TimeValue("0:00:01"))
ActiveSheet.Range("G3").Formula = ActiveSheet.Range("G3").Formula
Application.Wait (Now + TimeValue("0:00:01"))
ActiveSheet.Range("H3").Formula = ActiveSheet.Range("H3").Formula
If ActiveSheet.Range("G3") = "" Or 0 Then
Exit Sub
End If
Set wscf = Sheets(Range("G3").Value)
Set wsjr = Sheets("Start Page")
lastRow = wscf.Cells(Rows.count, "J").End(xlUp).Row
For i = 5 To lastRow
If wscf.Cells(i, "I") = "" Then
If copyRange Is Nothing Then
Set copyRange = wscf.Range("J" & i)
Else
Set copyRange = Union(copyRange, wscf.Range("J" & i))
End If
End If
Next i
If Not copyRange Is Nothing Then
wsjr.Range("F9").Resize(copyRange.Rows.count, 1).Value = copyRange.Value
End If
Application.Wait (Now + TimeValue("0:00:02"))
Call LastTwentyJobs
End Sub | 276e2f330bcc7a754376ffb87042b2b1 | {
"intermediate": 0.5050055384635925,
"beginner": 0.29736965894699097,
"expert": 0.1976248323917389
} |
15,686 | i have box on pine scrypt but i don't know how to make two lable on it. explain it to me | b16e0d0c42ae897d60f99ad499d3a0c9 | {
"intermediate": 0.442345529794693,
"beginner": 0.23294560611248016,
"expert": 0.3247089385986328
} |
15,687 | My data range is B:L and starts at row 5.
I want a Vba code that will do the following.
When I enter a date into a cell in column I,
The row B:L on which I entered the date in column I will be copied and pasted into the the next available empty row of the range B:L.
After the paste the contents of the original row will be cleared from column B to L, then all the rows below the recently cleared row will be moved up to fill in the space of the recently cleared row. | 3e772ec33d8c6bd51cb516208f686ee7 | {
"intermediate": 0.542617678642273,
"beginner": 0.2096136212348938,
"expert": 0.24776874482631683
} |
15,688 | How to enumerate all textures from dx9 window with GetRenderTarget in c++? | bc80a0c94c37b3edb9378dd871bdf840 | {
"intermediate": 0.5922276377677917,
"beginner": 0.12558797001838684,
"expert": 0.28218433260917664
} |
15,689 | How to save dx9 texture to png in c++ with D3DXSaveTextureToFileA? | 1bfa69849970c00ecc2fc2a14f2aa63e | {
"intermediate": 0.6185924410820007,
"beginner": 0.15869823098182678,
"expert": 0.2227093130350113
} |
15,690 | My data range is B:L and starts at row 5.
I want a Vba code that will do the following on Worksheet_SelectionChange.
After I enter a date into a cell in column I identify the cell as my Target Cell, and the row from column B to column L as my Target Row.
Find the last used row in column J using lastRow = ws.Cells(ws.Rows.Count, “J”).End(xlUp).Row.
Copy and paste the Target Row into the the next available lastRow.
After paste, clear the contents of the Target Row, then all the rows below the recently cleared Target should be moved up by 1 to fill in the space of the recently cleared Target Row. | c49c39dc4664980c191460f1a666b6f2 | {
"intermediate": 0.5913169384002686,
"beginner": 0.22716744244098663,
"expert": 0.181515634059906
} |
15,691 | Can you remove take profit from my code : import time
from binance.client import Client
from binance.exceptions import BinanceAPIException
from binance.helpers import round_step_size
import pandas as pd
import json
import numpy as np
import pytz
import datetime as dt
import ccxt
from decimal import Decimal
import requests
import hmac
import hashlib
import ntplib
import os
import ta
import ta.volatility
API_KEY = ''
API_SECRET = ''
client = Client(API_KEY, API_SECRET)
def sync_time():
server_time = requests.get('https://api.binance.com/api/v3/time').json()['serverTime']
local_time = int(time.time() * 1000)
time_difference = server_time - local_time
# Set the system clock to the new time
os.system(f'sudo date -s @{int(server_time/1000)}')
print(f'New time: {dt.datetime.now()}')
# Sync your local time with the server time
sync_time()
# Set the endpoint and parameters for the request
url = "https://fapi.binance.com/fapi/v1/klines"
symbol = 'BCH/USDT'
interval = '1m'
lookback = 44640
timestamp = int(time.time() * 1000) - 500 # subtract 500ms from local time to account for clock-drift
recv_window = 60000 # increased recv_window value
params = {
"symbol": symbol.replace("/", ""),
"interval": interval,
"startTime": int((time.time() - lookback * 60) * 1000),
"endTime": int(time.time() * 1000),
"timestamp": timestamp,
"recvWindow": recv_window
}
# Sign the message using the Client’s secret key
message = "&".join([f"{k}={v}" for k, v in params.items()])
signature = hmac.new(API_SECRET.encode(), message.encode(), hashlib.sha256).hexdigest()
params[signature] = signature
# Send the request using the requests library
response = requests.get(url, params=params, headers={'X-MBX-APIKEY': API_KEY})
# Check for errors in the response
response.raise_for_status()
API_KEY_MEXC = ''
API_SECRET_MEXC = ''
# Initialize MEXC client
mexc_futures = ccxt.mexc({
'apiKey': API_KEY_MEXC,
'secret': API_SECRET_MEXC,
'enableRateLimit': True,
'options': {
'defaultType': 'future',
}
})
time.sleep(1)
def get_klines(symbol, interval, lookback):
url = "https://fapi.binance.com/fapi/v1/klines"
end_time = int(time.time() * 1000) # end time is now
start_time = end_time - (lookback * 60 * 1000) # start time is lookback minutes ago
symbol = symbol.replace("/", "") # remove slash from symbol
query_params = f"?symbol={symbol}&interval={interval}&startTime={start_time}&endTime={end_time}"
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36'
}
response = requests.get(url + query_params, headers=headers)
response.raise_for_status()
data = response.json()
if not data: # if data is empty, return None
print('No data found for the given timeframe and symbol')
return None
ohlcv = []
for d in data:
timestamp = dt.datetime.fromtimestamp(d[0]/1000).strftime('%Y-%m-%d %H:%M:%S')
ohlcv.append({
'Open time': timestamp,
'Open': float(d[1]),
'High': float(d[2]),
'Low': float(d[3]),
'Close': float(d[4]),
'Volume': float(d[5])
})
df = pd.DataFrame(ohlcv)
df.set_index('Open time', inplace=True)
return df
df = get_klines(symbol, interval, lookback)
def signal_generator(df):
if df is None:
return ''
ema_analysis = []
candle_analysis = []
df['EMA5'] = df['Close'].ewm(span=5, adjust=False).mean()
df['EMA20'] = df['Close'].ewm(span=20, adjust=False).mean()
df['EMA100'] = df['Close'].ewm(span=100, adjust=False).mean()
df['EMA200'] = df['Close'].ewm(span=200, adjust=False).mean()
if (
df['EMA5'].iloc[-1] > df['EMA20'].iloc[-1] and
df['EMA20'].iloc[-1] > df['EMA100'].iloc[-1] and
df['EMA100'].iloc[-1] > df['EMA200'].iloc[-1] and
df['EMA5'].iloc[-2] < df['EMA20'].iloc[-2] and
df['EMA20'].iloc[-2] < df['EMA100'].iloc[-2] and
df['EMA100'].iloc[-2] < df['EMA200'].iloc[-2]
):
ema_analysis.append('golden_cross')
elif (
df['EMA5'].iloc[-1] < df['EMA20'].iloc[-1] and
df['EMA20'].iloc[-1] < df['EMA100'].iloc[-1] and
df['EMA100'].iloc[-1] < df['EMA200'].iloc[-1] and
df['EMA5'].iloc[-2] > df['EMA20'].iloc[-2] and
df['EMA20'].iloc[-2] > df['EMA100'].iloc[-2] and
df['EMA100'].iloc[-2] > df['EMA200'].iloc[-2]
):
ema_analysis.append('death_cross')
if (
df['Close'].iloc[-1] > df['Open'].iloc[-1] and
df['Open'].iloc[-1] > df['Low'].iloc[-1] and
df['High'].iloc[-1] > df['Close'].iloc[-1]
):
candle_analysis.append('bullish_engulfing')
elif (
df['Close'].iloc[-1] < df['Open'].iloc[-1] and
df['Open'].iloc[-1] < df['High'].iloc[-1] and
df['Low'].iloc[-1] > df['Close'].iloc[-1]
):
candle_analysis.append('bearish_engulfing')
bollinger_std = df['Close'].rolling(window=20).std()
df['UpperBand'] = df['EMA20'] + (bollinger_std * 2)
df['LowerBand'] = df['EMA20'] - (bollinger_std * 2)
if (
df['Close'].iloc[-1] > df['UpperBand'].iloc[-1] and
df['Close'].iloc[-2] < df['UpperBand'].iloc[-2]
):
candle_analysis.append('upper_band_breakout')
elif (
df['Close'].iloc[-1] < df['LowerBand'].iloc[-1] and
df['Close'].iloc[-2] > df['LowerBand'].iloc[-2]
):
candle_analysis.append('lower_band_breakout')
if ('golden_cross' in ema_analysis and 'bullish_engulfing' in candle_analysis) or 'upper_band_breakout' in candle_analysis:
return 'buy'
elif ('death_cross' in ema_analysis and 'bearish_engulfing' in candle_analysis) or 'lower_band_breakout' in candle_analysis:
return 'sell'
else:
return ''
end_time = int(time.time() * 1000)
start_time = end_time - lookback * 60 * 1000
def get_futures_balance(symbol):
try:
balance = mexc_futures.fetch_balance()
print(balance) # Add this line to inspect the balance variable
futures_balance = balance['info']['data'][symbol]
return futures_balance['total']
except Exception as e:
print(f"Error getting futures balance: {e}")
return 0
futures_balance = get_futures_balance(symbol)
quantity = futures_balance * 0.5
print(f"Quantity: {quantity}")
def execute_order(symbol, order_type, side, quantity):
try:
order_params = {
'symbol': symbol,
'side': side,
'type': order_type,
'quantity': quantity
}
order = mexc_futures.create_order(**order_params)
return order
except Exception as e:
print(f"Error executing order: {e}")
return None
def cancel_order(symbol, order_id):
try:
mexc_futures.cancel_orders([order_id], symbol)
print("Order cancelled successfully.")
except Exception as e:
print(f"Error cancelling order: {e}")
def get_open_orders(symbol):
try:
orders = mexc_futures.fetch_open_orders(symbol)
return orders
except Exception as e:
print(f"Error getting open orders: {e}")
return []
def close_position(symbol):
try:
open_orders = get_open_orders(symbol)
if open_orders:
for order in open_orders:
cancel_order(symbol, order['id'])
except Exception as e:
print(f"Error closing position: {e}")
# Rest of the code…
signal = signal_generator(df)
while True:
orders = mexc_futures.fetch_open_orders(symbol)
df = get_klines(symbol, '1m', 44640)
if signal is not None:
print(f"The signal time is: {dt.datetime.now().strftime('%Y-%m-%d %H:%M:%S')}:{signal}")
time.sleep(1)
if signal == 'buy':
open_orders = get_open_orders(symbol)
if not open_orders:
# Open Long position
quantity = 1 # Set your desired quantity here
order = execute_order(symbol, 'MARKET', 'BUY', quantity)
if order:
print(f"Opened Long position. Order ID: {order['id']}")
else:
# Close all open orders
close_position(symbol)
elif signal == 'sell':
open_orders = get_open_orders(symbol)
if not open_orders:
# Open Short position
quantity = 1 # Set your desired quantity here
order = execute_order(symbol, 'MARKET', 'SELL', quantity)
if order:
print(f"Opened Short position. Order ID: {order['id']}")
else:
# Close all open orders
close_position(symbol)
time.sleep(1) | d4e36a4a40297c353a947c7cc19af196 | {
"intermediate": 0.39300400018692017,
"beginner": 0.3771689534187317,
"expert": 0.22982710599899292
} |
15,692 | How to enumerate all textures from dx9 window in c++? | becd12844970e854f840e6cd3027495e | {
"intermediate": 0.5820992588996887,
"beginner": 0.11718828976154327,
"expert": 0.30071237683296204
} |
15,693 | Can you write an excel VBA code that does the following;
For the Active sheet check column J from row 6 downwards to determine the last row with values.
Then sort the range B to L by the date value in column I with the oldest date at the top and the earliest date at the bottom. | f112f07615ec747e0bdcfb4aa6a915cf | {
"intermediate": 0.3949768543243408,
"beginner": 0.20781764388084412,
"expert": 0.39720550179481506
} |
15,694 | custom breakpoint material ui | 76d74752bd1fae647d3489d6e2c3aa66 | {
"intermediate": 0.3942244350910187,
"beginner": 0.365671306848526,
"expert": 0.2401042878627777
} |
15,695 | how can i parse a csv file in c++ ? | 8f3783a1cc48c8d25e0ed5e75de19c0a | {
"intermediate": 0.6567398905754089,
"beginner": 0.12796811759471893,
"expert": 0.21529199182987213
} |
15,696 | maternity leave email | b4467d0b61f8e0790e5ebf9873efd6af | {
"intermediate": 0.32885220646858215,
"beginner": 0.45176687836647034,
"expert": 0.2193809449672699
} |
15,697 | Vasiliy likes to rest after a hard work, so you may often meet him in some bar nearby. As all programmers do, he loves the famous drink "Beecola", which can be bought in n different shops in the city. It's known that the price of one bottle in the shop i is equal to xi coins.
Vasiliy plans to buy his favorite drink for q consecutive days. He knows, that on the i-th day he will be able to spent mi coins. Now, for each of the days he want to know in how many different shops he can buy a bottle of "Beecola".
Input
The first line of the input contains a single integer n (1 ≤ n ≤ 100 000) — the number of shops in the city that sell Vasiliy's favourite drink.
The second line contains n integers xi (1 ≤ xi ≤ 100 000) — prices of the bottles of the drink in the i-th shop.
The third line contains a single integer q (1 ≤ q ≤ 100 000) — the number of days Vasiliy plans to buy the drink.
Then follow q lines each containing one integer mi (1 ≤ mi ≤ 109) — the number of coins Vasiliy can spent on the i-th day.
Output
Print q integers. The i-th of them should be equal to the number of shops where Vasiliy will be able to buy a bottle of the drink on the i-th day.
Example
inputCopy
5
3 10 8 6 11
4
1
10
3
11
outputCopy
0
4
1
5
Note
On the first day, Vasiliy won't be able to buy a drink in any of the shops.
On the second day, Vasiliy can buy a drink in the shops 1, 2, 3 and 4.
On the third day, Vasiliy can buy a drink only in the shop number 1.
Finally, on the last day Vasiliy can buy a drink in any shop.
solve this in c language. | 801af9392a38406d413f1fbc54eea37e | {
"intermediate": 0.35343948006629944,
"beginner": 0.26769858598709106,
"expert": 0.3788619637489319
} |
15,698 | using the livecode language how to get the name of a control when another control is placed on top | 1503010ec89377aa3f8491f7b531b241 | {
"intermediate": 0.2179386019706726,
"beginner": 0.21548427641391754,
"expert": 0.5665770769119263
} |
15,699 | <!DOCTYPE html>
<html>
<head>
<meta charset=“UTF-8”/>
<title>Multiplayer Chat Server</title>
<script type="text/json"> | 7ea846ca96c8c5a5fe34070a0ccb0091 | {
"intermediate": 0.31750842928886414,
"beginner": 0.3262018859386444,
"expert": 0.35628971457481384
} |
15,700 | I am trying to sort values in column B that start from row 18. I am using this code but getting error. Can you please correct it: Dim lastRow As Long
Dim s As Long
lastRow = Range("B" & Rows.count).End(xlUp).Row
With Range("B18:B" & lastRow)
.Sort Key1:=Range("B18:B" & lastRow), Order1:=xlAscending, Header:=xlYes
End With | d2269958b6f167ad0f2c9b891c4f5b65 | {
"intermediate": 0.42003336548805237,
"beginner": 0.29039284586906433,
"expert": 0.2895738184452057
} |
15,701 | I have data in column B that starts from B18.
All the data starts with a text date in the format dd/mm/yyyy
I would like to sort the range by the text date format with the oldest dat at the top.
Can you please write a VBA code to do this | d23a69713de0d0f9aeb6fc7503c8379b | {
"intermediate": 0.5003864765167236,
"beginner": 0.29492729902267456,
"expert": 0.20468628406524658
} |
15,702 | You will act as a careful reader and annotator. You will be given some text. You will read the text carefully and identify all cause-and-effect relationship. In case such a relationship does exist, you should extract the cause with <CAUSE> and </CAUSE>, and extract the effect with <EFFECT> and </EFFECT>.
Example:
<CAUSE>Habitual smoking</CAUSE> may result in <EFFECT>poor health</EFFECT>
text = Because of the rain, I stayed at home. I stayed at home due to the rain. It was raining. Consequently, I stayed at home. It was raining; therefore, I stayed home. Too much exposure to the sun will lead to skin cancer. | ceb74cc0c8f3a619f20962c6c4743b65 | {
"intermediate": 0.362017959356308,
"beginner": 0.3278590142726898,
"expert": 0.3101230561733246
} |
15,703 | I have data in column B that starts from B18.
All the data starts with a text date in the format dd/mm/yyyy
I would like to sort the range by the text date format with the oldest dat at the top.
Can you please write a VBA code to do this | 218d0ab31da70976a116690fb7dee1e8 | {
"intermediate": 0.5003864765167236,
"beginner": 0.29492729902267456,
"expert": 0.20468628406524658
} |
15,704 | I have values in column B that start from B18.
All the values in column B are text values.
All the values start with the text value of a date in the format dd/mm/yyyy
I would like to sort the range by the text value of the represented date with the oldest date at the top.
Can you please write a VBA code to do this. | aa71a3888602559490995dff36487b06 | {
"intermediate": 0.46583935618400574,
"beginner": 0.2818606197834015,
"expert": 0.2523000240325928
} |
15,705 | Can you give me order_execution code with out take profit : import time
from binance.client import Client
from binance.exceptions import BinanceAPIException
from binance.helpers import round_step_size
import pandas as pd
import json
import numpy as np
import pytz
import datetime as dt
import ccxt
from decimal import Decimal
import requests
import hmac
import hashlib
import ntplib
import os
import ta
import ta.volatility
API_KEY = ‘’
API_SECRET = ‘’
client = Client(API_KEY, API_SECRET)
def sync_time():
server_time = requests.get(‘https://api.binance.com/api/v3/time’).json()['serverTime’]
local_time = int(time.time() * 1000)
time_difference = server_time - local_time
# Set the system clock to the new time
os.system(f’sudo date -s @{int(server_time/1000)}‘)
print(f’New time: {dt.datetime.now()}’)
# Sync your local time with the server time
sync_time()
# Set the endpoint and parameters for the request
url = “https://fapi.binance.com/fapi/v1/klines”
symbol = ‘BCH/USDT’
interval = ‘1m’
lookback = 44640
timestamp = int(time.time() * 1000) - 500 # subtract 500ms from local time to account for clock-drift
recv_window = 60000 # increased recv_window value
params = {
“symbol”: symbol.replace(“/”, “”),
“interval”: interval,
“startTime”: int((time.time() - lookback * 60) * 1000),
“endTime”: int(time.time() * 1000),
“timestamp”: timestamp,
“recvWindow”: recv_window
}
# Sign the message using the Client’s secret key
message = “&”.join([f"{k}={v}" for k, v in params.items()])
signature = hmac.new(API_SECRET.encode(), message.encode(), hashlib.sha256).hexdigest()
params[signature] = signature
# Send the request using the requests library
response = requests.get(url, params=params, headers={‘X-MBX-APIKEY’: API_KEY})
# Check for errors in the response
response.raise_for_status()
API_KEY_MEXC = ‘’
API_SECRET_MEXC = ‘’
# Initialize MEXC client
mexc_futures = ccxt.mexc({
‘apiKey’: API_KEY_MEXC,
‘secret’: API_SECRET_MEXC,
‘enableRateLimit’: True,
‘options’: {
‘defaultType’: ‘future’,
}
})
time.sleep(1)
def get_klines(symbol, interval, lookback):
url = “https://fapi.binance.com/fapi/v1/klines”
end_time = int(time.time() * 1000) # end time is now
start_time = end_time - (lookback * 60 * 1000) # start time is lookback minutes ago
symbol = symbol.replace(“/”, “”) # remove slash from symbol
query_params = f"?symbol={symbol}&interval={interval}&startTime={start_time}&endTime={end_time}“
headers = {
‘User-Agent’: ‘Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36’
}
response = requests.get(url + query_params, headers=headers)
response.raise_for_status()
data = response.json()
if not data: # if data is empty, return None
print(‘No data found for the given timeframe and symbol’)
return None
ohlcv = []
for d in data:
timestamp = dt.datetime.fromtimestamp(d[0]/1000).strftime(‘%Y-%m-%d %H:%M:%S’)
ohlcv.append({
‘Open time’: timestamp,
‘Open’: float(d[1]),
‘High’: float(d[2]),
‘Low’: float(d[3]),
‘Close’: float(d[4]),
‘Volume’: float(d[5])
})
df = pd.DataFrame(ohlcv)
df.set_index(‘Open time’, inplace=True)
return df
df = get_klines(symbol, interval, lookback)
def signal_generator(df):
if df is None:
return ‘’
ema_analysis = []
candle_analysis = []
df[‘EMA5’] = df[‘Close’].ewm(span=5, adjust=False).mean()
df[‘EMA20’] = df[‘Close’].ewm(span=20, adjust=False).mean()
df[‘EMA100’] = df[‘Close’].ewm(span=100, adjust=False).mean()
df[‘EMA200’] = df[‘Close’].ewm(span=200, adjust=False).mean()
if (
df[‘EMA5’].iloc[-1] > df[‘EMA20’].iloc[-1] and
df[‘EMA20’].iloc[-1] > df[‘EMA100’].iloc[-1] and
df[‘EMA100’].iloc[-1] > df[‘EMA200’].iloc[-1] and
df[‘EMA5’].iloc[-2] < df[‘EMA20’].iloc[-2] and
df[‘EMA20’].iloc[-2] < df[‘EMA100’].iloc[-2] and
df[‘EMA100’].iloc[-2] < df[‘EMA200’].iloc[-2]
):
ema_analysis.append(‘golden_cross’)
elif (
df[‘EMA5’].iloc[-1] < df[‘EMA20’].iloc[-1] and
df[‘EMA20’].iloc[-1] < df[‘EMA100’].iloc[-1] and
df[‘EMA100’].iloc[-1] < df[‘EMA200’].iloc[-1] and
df[‘EMA5’].iloc[-2] > df[‘EMA20’].iloc[-2] and
df[‘EMA20’].iloc[-2] > df[‘EMA100’].iloc[-2] and
df[‘EMA100’].iloc[-2] > df[‘EMA200’].iloc[-2]
):
ema_analysis.append(‘death_cross’)
if (
df[‘Close’].iloc[-1] > df[‘Open’].iloc[-1] and
df[‘Open’].iloc[-1] > df[‘Low’].iloc[-1] and
df[‘High’].iloc[-1] > df[‘Close’].iloc[-1]
):
candle_analysis.append(‘bullish_engulfing’)
elif (
df[‘Close’].iloc[-1] < df[‘Open’].iloc[-1] and
df[‘Open’].iloc[-1] < df[‘High’].iloc[-1] and
df[‘Low’].iloc[-1] > df[‘Close’].iloc[-1]
):
candle_analysis.append(‘bearish_engulfing’)
bollinger_std = df[‘Close’].rolling(window=20).std()
df[‘UpperBand’] = df[‘EMA20’] + (bollinger_std * 2)
df[‘LowerBand’] = df[‘EMA20’] - (bollinger_std * 2)
if (
df[‘Close’].iloc[-1] > df[‘UpperBand’].iloc[-1] and
df[‘Close’].iloc[-2] < df[‘UpperBand’].iloc[-2]
):
candle_analysis.append(‘upper_band_breakout’)
elif (
df[‘Close’].iloc[-1] < df[‘LowerBand’].iloc[-1] and
df[‘Close’].iloc[-2] > df[‘LowerBand’].iloc[-2]
):
candle_analysis.append(‘lower_band_breakout’)
if (‘golden_cross’ in ema_analysis and ‘bullish_engulfing’ in candle_analysis) or ‘upper_band_breakout’ in candle_analysis:
return ‘buy’
elif (‘death_cross’ in ema_analysis and ‘bearish_engulfing’ in candle_analysis) or ‘lower_band_breakout’ in candle_analysis:
return ‘sell’
else:
return ‘’
end_time = int(time.time() * 1000)
start_time = end_time - lookback * 60 * 1000
def get_futures_balance(symbol):
try:
balance = mexc_futures.fetch_balance()
print(balance) # Add this line to inspect the balance variable
futures_balance = balance[‘info’][‘data’][symbol]
return futures_balance[‘total’]
except Exception as e:
print(f"Error getting futures balance: {e}”)
return 0
futures_balance = get_futures_balance(symbol)
quantity = futures_balance * 0.5
print(f"Quantity: {quantity}“)
def execute_order(symbol, order_type, side, quantity):
try:
order_params = {
‘symbol’: symbol,
‘side’: side,
‘type’: order_type,
‘quantity’: quantity
}
order = mexc_futures.create_order(**order_params)
return order
except Exception as e:
print(f"Error executing order: {e}”)
return None
def cancel_order(symbol, order_id):
try:
mexc_futures.cancel_orders([order_id], symbol)
print(“Order cancelled successfully.”)
except Exception as e:
print(f"Error cancelling order: {e}“)
def get_open_orders(symbol):
try:
orders = mexc_futures.fetch_open_orders(symbol)
return orders
except Exception as e:
print(f"Error getting open orders: {e}”)
return []
def close_position(symbol):
try:
open_orders = get_open_orders(symbol)
if open_orders:
for order in open_orders:
cancel_order(symbol, order[‘id’])
except Exception as e:
print(f"Error closing position: {e}“)
# Rest of the code…
signal = signal_generator(df)
while True:
orders = mexc_futures.fetch_open_orders(symbol)
df = get_klines(symbol, ‘1m’, 44640)
if signal is not None:
print(f"The signal time is: {dt.datetime.now().strftime(‘%Y-%m-%d %H:%M:%S’)}:{signal}”)
time.sleep(1)
if signal == ‘buy’:
open_orders = get_open_orders(symbol)
if not open_orders:
# Open Long position
quantity = 1 # Set your desired quantity here
order = execute_order(symbol, ‘MARKET’, ‘BUY’, quantity)
if order:
print(f"Opened Long position. Order ID: {order[‘id’]}“)
else:
# Close all open orders
close_position(symbol)
elif signal == ‘sell’:
open_orders = get_open_orders(symbol)
if not open_orders:
# Open Short position
quantity = 1 # Set your desired quantity here
order = execute_order(symbol, ‘MARKET’, ‘SELL’, quantity)
if order:
print(f"Opened Short position. Order ID: {order[‘id’]}”)
else:
# Close all open orders
close_position(symbol)
time.sleep(1) | a64c44ac9a34757216dec210b8764b4d | {
"intermediate": 0.41546735167503357,
"beginner": 0.4644708037376404,
"expert": 0.12006180733442307
} |
15,706 | I used your trading bot code: import time
from binance.client import Client
from binance.exceptions import BinanceAPIException
from binance.helpers import round_step_size
import pandas as pd
import json
import numpy as np
import pytz
import datetime as dt
import ccxt
from decimal import Decimal
import requests
import hmac
import hashlib
import ntplib
import os
import ta
import ta.volatility
API_KEY = ''
API_SECRET = ''
client = Client(API_KEY, API_SECRET)
def sync_time():
server_time = requests.get('https://api.binance.com/api/v3/time').json()['serverTime']
local_time = int(time.time() * 1000)
time_difference = server_time - local_time
# Set the system clock to the new time
os.system(f'sudo date -s @{int(server_time/1000)}')
print(f'New time: {dt.datetime.now()}')
# Sync your local time with the server time
sync_time()
# Set the endpoint and parameters for the request
url = "https://fapi.binance.com/fapi/v1/klines"
symbol = 'BCH/USDT'
interval = '1m'
lookback = 44640
timestamp = int(time.time() * 1000) - 500 # subtract 500ms from local time to account for clock-drift
recv_window = 60000 # increased recv_window value
params = {
"symbol": symbol.replace("/", ""),
"interval": interval,
"startTime": int((time.time() - lookback * 60) * 1000),
"endTime": int(time.time() * 1000),
"timestamp": timestamp,
"recvWindow": recv_window
}
# Sign the message using the Client’s secret key
message = "&".join([f"{k}={v}" for k, v in params.items()])
signature = hmac.new(API_SECRET.encode(), message.encode(), hashlib.sha256).hexdigest()
params[signature] = signature
# Send the request using the requests library
response = requests.get(url, params=params, headers={'X-MBX-APIKEY': API_KEY})
# Check for errors in the response
response.raise_for_status()
API_KEY_MEXC = ''
API_SECRET_MEXC = ''
# Initialize MEXC client
mexc_futures = ccxt.mexc({
'apiKey': API_KEY_MEXC,
'secret': API_SECRET_MEXC,
'enableRateLimit': True,
'options': {
'defaultType': 'future',
}
})
time.sleep(1)
def get_klines(symbol, interval, lookback):
url = "https://fapi.binance.com/fapi/v1/klines"
end_time = int(time.time() * 1000) # end time is now
start_time = end_time - (lookback * 60 * 1000) # start time is lookback minutes ago
symbol = symbol.replace("/", "") # remove slash from symbol
query_params = f"?symbol={symbol}&interval={interval}&startTime={start_time}&endTime={end_time}"
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36'
}
response = requests.get(url + query_params, headers=headers)
response.raise_for_status()
data = response.json()
if not data: # if data is empty, return None
print('No data found for the given timeframe and symbol')
return None
ohlcv = []
for d in data:
timestamp = dt.datetime.fromtimestamp(d[0]/1000).strftime('%Y-%m-%d %H:%M:%S')
ohlcv.append({
'Open time': timestamp,
'Open': float(d[1]),
'High': float(d[2]),
'Low': float(d[3]),
'Close': float(d[4]),
'Volume': float(d[5])
})
df = pd.DataFrame(ohlcv)
df.set_index('Open time', inplace=True)
return df
df = get_klines(symbol, interval, lookback)
def signal_generator(df):
if df is None:
return ''
ema_analysis = []
candle_analysis = []
df['EMA5'] = df['Close'].ewm(span=5, adjust=False).mean()
df['EMA20'] = df['Close'].ewm(span=20, adjust=False).mean()
df['EMA100'] = df['Close'].ewm(span=100, adjust=False).mean()
df['EMA200'] = df['Close'].ewm(span=200, adjust=False).mean()
if (
df['EMA5'].iloc[-1] > df['EMA20'].iloc[-1] and
df['EMA20'].iloc[-1] > df['EMA100'].iloc[-1] and
df['EMA100'].iloc[-1] > df['EMA200'].iloc[-1] and
df['EMA5'].iloc[-2] < df['EMA20'].iloc[-2] and
df['EMA20'].iloc[-2] < df['EMA100'].iloc[-2] and
df['EMA100'].iloc[-2] < df['EMA200'].iloc[-2]
):
ema_analysis.append('golden_cross')
elif (
df['EMA5'].iloc[-1] < df['EMA20'].iloc[-1] and
df['EMA20'].iloc[-1] < df['EMA100'].iloc[-1] and
df['EMA100'].iloc[-1] < df['EMA200'].iloc[-1] and
df['EMA5'].iloc[-2] > df['EMA20'].iloc[-2] and
df['EMA20'].iloc[-2] > df['EMA100'].iloc[-2] and
df['EMA100'].iloc[-2] > df['EMA200'].iloc[-2]
):
ema_analysis.append('death_cross')
if (
df['Close'].iloc[-1] > df['Open'].iloc[-1] and
df['Open'].iloc[-1] > df['Low'].iloc[-1] and
df['High'].iloc[-1] > df['Close'].iloc[-1]
):
candle_analysis.append('bullish_engulfing')
elif (
df['Close'].iloc[-1] < df['Open'].iloc[-1] and
df['Open'].iloc[-1] < df['High'].iloc[-1] and
df['Low'].iloc[-1] > df['Close'].iloc[-1]
):
candle_analysis.append('bearish_engulfing')
bollinger_std = df['Close'].rolling(window=20).std()
df['UpperBand'] = df['EMA20'] + (bollinger_std * 2)
df['LowerBand'] = df['EMA20'] - (bollinger_std * 2)
if (
df['Close'].iloc[-1] > df['UpperBand'].iloc[-1] and
df['Close'].iloc[-2] < df['UpperBand'].iloc[-2]
):
candle_analysis.append('upper_band_breakout')
elif (
df['Close'].iloc[-1] < df['LowerBand'].iloc[-1] and
df['Close'].iloc[-2] > df['LowerBand'].iloc[-2]
):
candle_analysis.append('lower_band_breakout')
if ('golden_cross' in ema_analysis and 'bullish_engulfing' in candle_analysis) or 'upper_band_breakout' in candle_analysis:
return 'buy'
elif ('death_cross' in ema_analysis and 'bearish_engulfing' in candle_analysis) or 'lower_band_breakout' in candle_analysis:
return 'sell'
else:
return ''
end_time = int(time.time() * 1000)
start_time = end_time - lookback * 60 * 1000
def get_futures_balance(symbol):
try:
balance = mexc_futures.fetch_balance()
print(balance) # Add this line to inspect the balance variable
futures_balance = balance['info']['data'][symbol]
return futures_balance['total']
except Exception as e:
print(f"Error getting futures balance: {e}")
return 0
futures_balance = get_futures_balance(symbol)
quantity = futures_balance * 0.5
print(f"Quantity: {quantity}")
def execute_order(symbol, order_type, side, quantity):
try:
order = client.create_order(
symbol=symbol,
side=side,
type=order_type,
quantity=quantity
)
return order
except Exception as e:
print(f"Error executing order: {e}")
return None
def get_open_orders(symbol):
try:
orders = client.get_open_orders(symbol=symbol)
return orders
except Exception as e:
print(f"Error getting open orders: {e}")
return []
def close_position(symbol):
try:
open_orders = get_open_orders(symbol)
if open_orders:
for order in open_orders:
client.cancel_order(
symbol=symbol,
origClientOrderId=order['orderId']
)
print("Position closed successfully.")
except Exception as e:
print(f"Error closing position: {e}")
# Rest of the code…
order_type = 'MARKET'
while True:
signal = signal_generator(df)
if signal is not None:
print(f"The signal time is: {dt.datetime.now().strftime('%Y-%m-%d %H:%M:%S')} - Signal: {signal}")
if signal == 'buy':
open_orders = get_open_orders(symbol)
if not open_orders:
# Open Long position
order = execute_order(symbol, order_type, 'BUY', quantity)
if order:
print(f"Opened Long position. Order ID: {order['orderId']}")
else:
# Close all open orders
close_position(symbol)
elif signal == 'sell':
open_orders = get_open_orders(symbol)
if not open_orders:
# Open Short position
order = execute_order(symbol, order_type, 'SELL', quantity)
if order:
print(f"Opened Short position. Order ID: {order['orderId']}")
else:
# Close all open orders
close_position(symbol)
time.sleep(1)
But it doesn't give me any signals | ced73aa82db5eb24fc2a6fbe895a71cd | {
"intermediate": 0.4804280698299408,
"beginner": 0.3289898633956909,
"expert": 0.1905820518732071
} |
15,707 | draw a plan of land size 42'*39' | 845356d8e3c9626717985f55ff793ba0 | {
"intermediate": 0.40606972575187683,
"beginner": 0.33655327558517456,
"expert": 0.2573769986629486
} |
15,708 | I used your code: import time
from binance.client import Client
from binance.exceptions import BinanceAPIException
from binance.helpers import round_step_size
import pandas as pd
import json
import numpy as np
import pytz
import datetime as dt
import ccxt
from decimal import Decimal
import requests
import hmac
import hashlib
import ntplib
import os
import ta
import ta.volatility
API_KEY = ‘’
API_SECRET = ‘’
API_KEY_MEXC = ‘’
API_SECRET_MEXC = ‘’
client = Client(API_KEY, API_SECRET)
def sync_time():
server_time = requests.get(‘https://api.binance.com/api/v3/time’).json()['serverTime’]
local_time = int(time.time() * 1000)
time_difference = server_time - local_time
# Set the system clock to the new time
os.system(f’sudo date -s @{int(server_time/1000)}‘)
print(f’New time: {dt.datetime.now()}’)
# Sync your local time with the server time
sync_time()
# Set the endpoint and parameters for the request
url = “https://fapi.binance.com/fapi/v1/klines”
symbol = ‘BCH/USDT’
interval = ‘1m’
lookback = 44640
timestamp = int(time.time() * 1000) - 500 # subtract 500ms from local time to account for clock-drift
recv_window = 60000 # increased recv_window value
params = {
“symbol”: symbol.replace(“/”, “”),
“interval”: interval,
“startTime”: int((time.time() - lookback * 60) * 1000),
“endTime”: int(time.time() * 1000),
“timestamp”: timestamp,
“recvWindow”: recv_window
}
# Sign the message using the Client’s secret key
message = “&”.join([f"{k}={v}" for k, v in params.items()])
signature = hmac.new(API_SECRET.encode(), message.encode(), hashlib.sha256).hexdigest()
params[signature] = signature
# Send the request using the requests library
response = requests.get(url, params=params, headers={‘X-MBX-APIKEY’: API_KEY})
# Check for errors in the response
response.raise_for_status()
# Initialize MEXC client
mexc_futures = ccxt.mexc({
‘apiKey’: API_KEY_MEXC,
‘secret’: API_SECRET_MEXC,
‘enableRateLimit’: True,
‘options’: {
‘defaultType’: ‘future’,
}
})
time.sleep(1)
def get_klines(symbol, interval, lookback):
url = “https://fapi.binance.com/fapi/v1/klines”
end_time = int(time.time() * 1000) # end time is now
start_time = end_time - (lookback * 60 * 1000) # start time is lookback minutes ago
symbol = symbol.replace(“/”, “”) # remove slash from symbol
query_params = f"?symbol={symbol}&interval={interval}&startTime={start_time}&endTime={end_time}“
headers = {
‘User-Agent’: ‘Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36’
}
response = requests.get(url + query_params, headers=headers)
response.raise_for_status()
data = response.json()
if not data: # if data is empty, return None
print(‘No data found for the given timeframe and symbol’)
return None
ohlcv = []
for d in data:
timestamp = dt.datetime.fromtimestamp(d[0]/1000).strftime(‘%Y-%m-%d %H:%M:%S’)
ohlcv.append({
‘Open time’: timestamp,
‘Open’: float(d[1]),
‘High’: float(d[2]),
‘Low’: float(d[3]),
‘Close’: float(d[4]),
‘Volume’: float(d[5])
})
df = pd.DataFrame(ohlcv)
df.set_index(‘Open time’, inplace=True)
return df
df = get_klines(symbol, interval, lookback)
def signal_generator(df):
if df is None:
return ‘’
ema_analysis = []
candle_analysis = []
df[‘EMA5’] = df[‘Close’].ewm(span=5, adjust=False).mean()
df[‘EMA20’] = df[‘Close’].ewm(span=20, adjust=False).mean()
df[‘EMA100’] = df[‘Close’].ewm(span=100, adjust=False).mean()
df[‘EMA200’] = df[‘Close’].ewm(span=200, adjust=False).mean()
if (
df[‘EMA5’].iloc[-1] > df[‘EMA20’].iloc[-1] and
df[‘EMA20’].iloc[-1] > df[‘EMA100’].iloc[-1] and
df[‘EMA100’].iloc[-1] > df[‘EMA200’].iloc[-1] and
df[‘EMA5’].iloc[-2] < df[‘EMA20’].iloc[-2] and
df[‘EMA20’].iloc[-2] < df[‘EMA100’].iloc[-2] and
df[‘EMA100’].iloc[-2] < df[‘EMA200’].iloc[-2]
):
ema_analysis.append(‘golden_cross’)
elif (
df[‘EMA5’].iloc[-1] < df[‘EMA20’].iloc[-1] and
df[‘EMA20’].iloc[-1] < df[‘EMA100’].iloc[-1] and
df[‘EMA100’].iloc[-1] < df[‘EMA200’].iloc[-1] and
df[‘EMA5’].iloc[-2] > df[‘EMA20’].iloc[-2] and
df[‘EMA20’].iloc[-2] > df[‘EMA100’].iloc[-2] and
df[‘EMA100’].iloc[-2] > df[‘EMA200’].iloc[-2]
):
ema_analysis.append(‘death_cross’)
if (
df[‘Close’].iloc[-1] > df[‘Open’].iloc[-1] and
df[‘Open’].iloc[-1] > df[‘Low’].iloc[-1] and
df[‘High’].iloc[-1] > df[‘Close’].iloc[-1]
):
candle_analysis.append(‘bullish_engulfing’)
elif (
df[‘Close’].iloc[-1] < df[‘Open’].iloc[-1] and
df[‘Open’].iloc[-1] < df[‘High’].iloc[-1] and
df[‘Low’].iloc[-1] > df[‘Close’].iloc[-1]
):
candle_analysis.append(‘bearish_engulfing’)
bollinger_std = df[‘Close’].rolling(window=20).std()
df[‘UpperBand’] = df[‘EMA20’] + (bollinger_std * 2)
df[‘LowerBand’] = df[‘EMA20’] - (bollinger_std * 2)
if (
df[‘Close’].iloc[-1] > df[‘UpperBand’].iloc[-1] and
df[‘Close’].iloc[-2] < df[‘UpperBand’].iloc[-2]
):
candle_analysis.append(‘upper_band_breakout’)
elif (
df[‘Close’].iloc[-1] < df[‘LowerBand’].iloc[-1] and
df[‘Close’].iloc[-2] > df[‘LowerBand’].iloc[-2]
):
candle_analysis.append(‘lower_band_breakout’)
if (‘golden_cross’ in ema_analysis and ‘bullish_engulfing’ in candle_analysis) or ‘upper_band_breakout’ in candle_analysis:
return ‘buy’
elif (‘death_cross’ in ema_analysis and ‘bearish_engulfing’ in candle_analysis) or ‘lower_band_breakout’ in candle_analysis:
return ‘sell’
else:
return ‘’
end_time = int(time.time() * 1000)
start_time = end_time - lookback * 60 * 1000
def get_futures_balance(symbol):
try:
balance = mexc_futures.fetch_balance()
print(balance) # Add this line to inspect the balance variable
futures_balance = balance[‘info’][‘data’][symbol]
return futures_balance[‘total’]
except Exception as e:
print(f"Error getting futures balance: {e}”)
return 0
futures_balance = get_futures_balance(symbol)
quantity = futures_balance * 0.5
print(f"Quantity: {quantity}“)
def execute_order(symbol, order_type, side, quantity):
try:
order = client.create_order(
symbol=symbol,
side=side,
type=order_type,
quantity=quantity
)
return order
except Exception as e:
print(f"Error executing order: {e}”)
return None
def get_open_orders(symbol):
try:
orders = client.get_open_orders(symbol=symbol)
return orders
except Exception as e:
print(f"Error getting open orders: {e}“)
return []
def close_position(symbol):
try:
open_orders = get_open_orders(symbol)
if open_orders:
for order in open_orders:
client.cancel_order(
symbol=symbol,
origClientOrderId=order[‘orderId’]
)
print(“Position closed successfully.”)
except Exception as e:
print(f"Error closing position: {e}”)
# Rest of the code…
order_type = ‘MARKET’
while True:
signal = signal_generator(df)
if signal is not None:
print(f"The signal time is: {dt.datetime.now().strftime(‘%Y-%m-%d %H:%M:%S’)} - Signal: {signal}“)
if signal == ‘buy’:
open_orders = get_open_orders(symbol)
if not open_orders:
# Open Long position
order = execute_order(symbol, order_type, ‘BUY’, quantity)
if order:
print(f"Opened Long position. Order ID: {order[‘orderId’]}”)
else:
# Close all open orders
close_position(symbol)
elif signal == ‘sell’:
open_orders = get_open_orders(symbol)
if not open_orders:
# Open Short position
order = execute_order(symbol, order_type, ‘SELL’, quantity)
if order:
print(f"Opened Short position. Order ID: {order[‘orderId’]}")
else:
# Close all open orders
close_position(symbol)
time.sleep(1)
But it doesn’t give me my any signals, give me code which will give me signals
Your advices: The code you provided seems to have all the necessary functions and logic to generate trading signals based on the EMA crossover and candlestick patterns. However, there might be some issues with the data source or the parameters being used.
Here are a few possible improvements you can make to the code:
1. Check data source: Ensure that the get_klines function is correctly fetching the historical data for the specified symbol and interval. You can add print statements or debug the code to see if the data is being retrieved successfully.
2. Adjust lookback period: The lookback parameter determines the number of minutes of historical data to fetch. Make sure the value is appropriate for your trading strategy. You can also experiment with different lookback periods to see if it affects the generation of signals.
3. Verify signal conditions: Double-check the conditions for generating buy and sell signals in the signal_generator function. Ensure that the conditions are correctly evaluating the moving averages and candlestick patterns.
4. Test on different symbols and intervals: Try running the code on different symbols and intervals to see if it generates signals for them. It’s possible that the current symbol and interval combination is not producing any signals due to specific market conditions.
5. Verify account balance and quantity: Double-check your account balance and ensure that you have enough funds available to place orders. Also, verify the calculation of the quantity variable to ensure that it is being set correctly for opening positions.
6. Monitor error messages: Check for any error messages or exceptions being printed in the console. These messages can provide valuable information about any issues or errors that might be occurring.
Make these adjustments and run the code again to see if it successfully generates trading signals. If you encounter any specific error messages or issues, please provide those details so that I can assist you further. | 9dbdb58acb5c76ad5bd5e6b0e74828d3 | {
"intermediate": 0.41260284185409546,
"beginner": 0.47958096861839294,
"expert": 0.10781627148389816
} |
15,709 | import csv
from bson import ObjectId
import pymongo
from datetime import datetime, timedelta
import pytz
# Create a timezone object for UTC
utc = pytz.UTC
client = pymongo.MongoClient("mongodb://keystone:<PRESIDIO_ANONYMIZED_EMAIL_ADDRESS>:27017/keystone")
db = client["keystone"]
jobstatuses = db["jobstatuses"]
custom_asin_pages = db["custom-asin-pages"]
jobs = db["jobs"]
job_id = ObjectId('6458abcd7c09f047136908b6')
# Get the current datetime in UTC
current_datetime = datetime.utcnow().replace(tzinfo=utc)
# Calculate the datetime for 10 days ago at midnight 12 am UTC
ten_days_ago = current_datetime - timedelta(days=2, hours=current_datetime.hour, minutes=current_datetime.minute, seconds=current_datetime.second, microseconds=current_datetime.microsecond)
# Retrieve the documents with the specified jobId and within the last 10 days
documents = jobstatuses.find({"jobId": job_id, "createdAt": {"$gte": ten_days_ago}}, {"_id": 1})
document_ids = [str(doc["_id"]) for doc in documents]
# Create a CSV file and write the header
with open("missed_asins.csv", "w", newline="") as csvfile:
fieldnames = ["Job ID", "Job Name", "Pipeline ID", "Source Data", "Fetched Data", "Missed Data"]
writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
writer.writeheader()
for document_id in document_ids:
pipeline_id = document_id
source_data = jobstatuses.find_one({"_id": ObjectId(document_id)}, {"source.data": 1})["source"]["data"]
missed_asins = []
# Check presence of source.data in asin field for each pipeline_id
for asin in source_data:
pipeline_asin = custom_asin_pages.find_one({"pipeline_id": pipeline_id, "asin": asin})
if not pipeline_asin:
missed_asins.append(asin)
# Retrieve job name from the jobs collection
job_name = jobs.find_one({"_id": job_id}, {"name": 1})["name"]
document_count = custom_asin_pages.count_documents({"pipeline_id": document_id})
# Write the results to the CSV file
writer.writerow({
"Job ID": str(job_id),
"Job Name": job_name,
"Pipeline ID": pipeline_id,
"Source Data": len(source_data),
"Fetched Data": document_count,
"Missed Data": ", ".join(missed_asins)
})
print("Results have been written to missed_asins.csv")
please optimise this code | 7390f20a3ac1a1d04662bcb3201f19be | {
"intermediate": 0.42381301522254944,
"beginner": 0.3668985366821289,
"expert": 0.20928847789764404
} |
15,710 | I used your signal_generator and order_execution code: import time
from binance.client import Client
from binance.exceptions import BinanceAPIException
from binance.helpers import round_step_size
import pandas as pd
import json
import numpy as np
import pytz
import datetime as dt
import ccxt
from decimal import Decimal
import requests
import hmac
import hashlib
import ntplib
import os
import ta
import ta.volatility
API_KEY = ''
API_SECRET = ''
API_KEY_MEXC = ''
API_SECRET_MEXC = ''
client = Client(API_KEY, API_SECRET)
def sync_time():
server_time = requests.get('https://api.binance.com/api/v3/time').json()['serverTime']
local_time = int(time.time() * 1000)
time_difference = server_time - local_time
# Set the system clock to the new time
os.system(f'sudo date -s @{int(server_time/1000)}')
print(f'New time: {dt.datetime.now()}')
# Sync your local time with the server time
sync_time()
# Set the endpoint and parameters for the request
url = "https://fapi.binance.com/fapi/v1/klines"
symbol = 'BCH/USDT'
interval = '1m'
lookback = 44640
timestamp = int(time.time() * 1000) - 500 # subtract 500ms from local time to account for clock-drift
recv_window = 60000 # increased recv_window value
params = {
"symbol": symbol.replace("/", ""),
"interval": interval,
"startTime": int((time.time() - lookback * 60) * 1000),
"endTime": int(time.time() * 1000),
"timestamp": timestamp,
"recvWindow": recv_window
}
# Sign the message using the Client’s secret key
message = "&".join([f"{k}={v}" for k, v in params.items()])
signature = hmac.new(API_SECRET.encode(), message.encode(), hashlib.sha256).hexdigest()
params[signature] = signature
# Send the request using the requests library
response = requests.get(url, params=params, headers={'X-MBX-APIKEY': API_KEY})
# Check for errors in the response
response.raise_for_status()
# Initialize MEXC client
mexc_futures = ccxt.mexc({
'apiKey': API_KEY_MEXC,
'secret': API_SECRET_MEXC,
'enableRateLimit': True,
'options': {
'defaultType': 'future',
}
})
time.sleep(1)
def get_klines(symbol, interval, lookback):
url = "https://fapi.binance.com/fapi/v1/klines"
end_time = int(time.time() * 1000) # end time is now
start_time = end_time - (lookback * 60 * 1000) # start time is lookback minutes ago
symbol = symbol.replace("/", "") # remove slash from symbol
query_params = f"?symbol={symbol}&interval={interval}&startTime={start_time}&endTime={end_time}"
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36'
}
response = requests.get(url + query_params, headers=headers)
response.raise_for_status()
data = response.json()
if not data: # if data is empty, return None
print('No data found for the given timeframe and symbol')
return None
ohlcv = []
for d in data:
timestamp = dt.datetime.fromtimestamp(d[0]/1000).strftime('%Y-%m-%d %H:%M:%S')
ohlcv.append({
'Open time': timestamp,
'Open': float(d[1]),
'High': float(d[2]),
'Low': float(d[3]),
'Close': float(d[4]),
'Volume': float(d[5])
})
df = pd.DataFrame(ohlcv)
df.set_index('Open time', inplace=True)
return df
df = get_klines(symbol, interval, lookback)
def signal_generator(df):
if df is None:
return ''
ema_analysis = []
candle_analysis = []
df['EMA5'] = df['Close'].ewm(span=5, adjust=False).mean()
df['EMA20'] = df['Close'].ewm(span=20, adjust=False).mean()
df['EMA100'] = df['Close'].ewm(span=100, adjust=False).mean()
df['EMA200'] = df['Close'].ewm(span=200, adjust=False).mean()
if (
df['EMA5'].iloc[-1] > df['EMA20'].iloc[-1] and
df['EMA20'].iloc[-1] > df['EMA100'].iloc[-1] and
df['EMA100'].iloc[-1] > df['EMA200'].iloc[-1] and
df['EMA5'].iloc[-2] < df['EMA20'].iloc[-2] and
df['EMA20'].iloc[-2] < df['EMA100'].iloc[-2] and
df['EMA100'].iloc[-2] < df['EMA200'].iloc[-2]
):
ema_analysis.append('golden_cross')
elif (
df['EMA5'].iloc[-1] < df['EMA20'].iloc[-1] and
df['EMA20'].iloc[-1] < df['EMA100'].iloc[-1] and
df['EMA100'].iloc[-1] < df['EMA200'].iloc[-1] and
df['EMA5'].iloc[-2] > df['EMA20'].iloc[-2] and
df['EMA20'].iloc[-2] > df['EMA100'].iloc[-2] and
df['EMA100'].iloc[-2] > df['EMA200'].iloc[-2]
):
ema_analysis.append('death_cross')
if (
df['Close'].iloc[-1] > df['Open'].iloc[-1] and
df['Open'].iloc[-1] > df['Low'].iloc[-1] and
df['High'].iloc[-1] > df['Close'].iloc[-1]
):
candle_analysis.append('bullish_engulfing')
elif (
df['Close'].iloc[-1] < df['Open'].iloc[-1] and
df['Open'].iloc[-1] < df['High'].iloc[-1] and
df['Low'].iloc[-1] > df['Close'].iloc[-1]
):
candle_analysis.append('bearish_engulfing')
bollinger_std = df['Close'].rolling(window=20).std()
df['UpperBand'] = df['EMA20'] + (bollinger_std * 2)
df['LowerBand'] = df['EMA20'] - (bollinger_std * 2)
if (
df['Close'].iloc[-1] > df['UpperBand'].iloc[-1] and
df['Close'].iloc[-2] < df['UpperBand'].iloc[-2]
):
candle_analysis.append('upper_band_breakout')
elif (
df['Close'].iloc[-1] < df['LowerBand'].iloc[-1] and
df['Close'].iloc[-2] > df['LowerBand'].iloc[-2]
):
candle_analysis.append('lower_band_breakout')
if ('golden_cross' in ema_analysis and 'bullish_engulfing' in candle_analysis) or 'upper_band_breakout' in candle_analysis:
return 'buy'
elif ('death_cross' in ema_analysis and 'bearish_engulfing' in candle_analysis) or 'lower_band_breakout' in candle_analysis:
return 'sell'
else:
return ''
end_time = int(time.time() * 1000)
start_time = end_time - lookback * 60 * 1000
def get_futures_balance(symbol):
try:
balance = mexc_futures.fetch_balance()
print(balance) # Add this line to inspect the balance variable
futures_balance = balance['info']['data'][symbol]
return futures_balance['total']
except Exception as e:
print(f"Error getting futures balance: {e}")
return 0
futures_balance = get_futures_balance(symbol)
quantity = futures_balance * 0.5
print(f"Quantity: {quantity}")
def execute_order(symbol, order_type, side, quantity):
try:
order = client.create_order(
symbol=symbol,
side=side,
type=order_type,
quantity=quantity
)
return order
except Exception as e:
print(f"Error executing order: {e}")
return None
def get_open_orders(symbol):
try:
orders = client.get_open_orders(symbol=symbol)
return orders
except Exception as e:
print(f"Error getting open orders: {e}")
return []
def close_position(symbol):
try:
open_orders = get_open_orders(symbol)
if open_orders:
for order in open_orders:
client.cancel_order(
symbol=symbol,
origClientOrderId=order['orderId']
)
print("Position closed successfully.")
except Exception as e:
print(f"Error closing position: {e}")
# Rest of the code…
order_type = 'MARKET'
while True:
signal = signal_generator(df)
if signal is not None:
print(f"The signal time is: {dt.datetime.now().strftime('%Y-%m-%d %H:%M:%S')} - Signal: {signal}")
if signal == 'buy':
open_orders = get_open_orders(symbol)
if not open_orders:
# Open Long position
order = execute_order(symbol, order_type, 'BUY', quantity)
if order:
print(f"Opened Long position. Order ID: {order['orderId']}")
else:
# Close all open orders
close_position(symbol)
elif signal == 'sell':
open_orders = get_open_orders(symbol)
if not open_orders:
# Open Short position
order = execute_order(symbol, order_type, 'SELL', quantity)
if order:
print(f"Opened Short position. Order ID: {order['orderId']}")
else:
# Close all open orders
close_position(symbol)
time.sleep(1)
But it doesn't print me any signls , please tell me what I need to change in my code and how my code need to seem with your advices | 3776f468fdff3c40dd09641ccadd8698 | {
"intermediate": 0.46712055802345276,
"beginner": 0.40771666169166565,
"expert": 0.12516285479068756
} |
15,711 | hii | ab0c78a4096ceb2957c18a54da973227 | {
"intermediate": 0.3416314125061035,
"beginner": 0.27302300930023193,
"expert": 0.38534557819366455
} |
15,712 | what is the correct format to publish joint angles into the rostopic of Iiwa/PositionController/command | 2ccc1d17f678df7d847a6a7bf9a04c53 | {
"intermediate": 0.4848591685295105,
"beginner": 0.22118006646633148,
"expert": 0.2939607501029968
} |
15,713 | im in windows 7 how can i check how many devices are in my network? | 92bbeeff83b606ecb1e1946cba28964b | {
"intermediate": 0.45133233070373535,
"beginner": 0.22994910180568695,
"expert": 0.3187185227870941
} |
15,714 | Напиши функцию на языке python, которая имела бы на входе словарь, содержащий ключи: grandprix_name, first_run_name, second_run_name, third_run_name, fourth_run_name, fifth_run_name, first_run_time, second_run_time, third_run_time, fourth_run_time, fifth_run_time, а на выходе создавала картинку, содержащую таблицу со следующими данными: в первой строке указывается день недели, число месяца и название месяца, найденные из значения first_run_time. Следующая строка должна быть разделена на 5 разных столбцов: в первом вставляется картинка cloud.png, выравненная по центру ячейки, во второй ячейке текстом пишется значение из first_run_name, в третьей ячейке вставляется картинка water.png, выравненная по центру ячейки, в четвертой ячейке вставляется картинка heat.png, и в пятой ячейке вставляется значения из first_run_time. Если день, полученный из значения second_run_time совпадает с предыдущим, то в следующей строке в соответствующие ячейки вставляются те же значения, только first_run_name и first_run_time заменяются на second_run_time и second_run_time соответственно, и так далее. Но если же день, полученный из следующего значения run_time отличается от предыдущего, то в следующей строке пишется день недели, число месяца и название месяца соответствующее ему, а следующая строчка снова разбивается на 5 ячеек и туда добавляются значения из предыдущего шага. | fe6f7d2df3ad908df640449f7fa419a3 | {
"intermediate": 0.3358306288719177,
"beginner": 0.5302167534828186,
"expert": 0.13395267724990845
} |
15,715 | hi | e18133cf5424678340b9face410e51ec | {
"intermediate": 0.3246487081050873,
"beginner": 0.27135494351387024,
"expert": 0.40399640798568726
} |
15,716 | I've an asp.net core with react project, this is my program.cs: "using cryptotasky;
using cryptotasky.Models;
using Microsoft.AspNetCore.Authentication.JwtBearer;
using Microsoft.EntityFrameworkCore;
using Microsoft.IdentityModel.Tokens;
using System.Text;
var builder = WebApplication.CreateBuilder(args);
// Add services to the container.
builder.Services.AddCors(options =>
{
options.AddPolicy("AllowAll", policy =>
{
policy.AllowAnyOrigin()
.AllowAnyMethod()
.AllowAnyHeader();
});
});
builder.Services.AddControllersWithViews();
builder.Services.AddTransient<IEmailService, EmailService>();
builder.Services.AddDbContext<CryptoTContext>(options =>
options.UseSqlServer(builder.Configuration.GetConnectionString("DefaultConnection")));
builder.Services.AddAuthentication(JwtBearerDefaults.AuthenticationScheme)
.AddJwtBearer(options =>
{
options.TokenValidationParameters = new TokenValidationParameters
{
ValidateIssuer = true,
ValidateAudience = true,
ValidateLifetime = true,
ValidateIssuerSigningKey = true,
ValidIssuer = builder.Configuration["Jwt:Issuer"],
ValidAudience = builder.Configuration["Jwt:Issuer"],
IssuerSigningKey = new SymmetricSecurityKey(Encoding.UTF8.GetBytes(builder.Configuration["Jwt:Key"]))
};
});
builder.Services.AddHostedService<DailyResetService>();
var app = builder.Build();
// Configure the HTTP request pipeline.
app.UseStaticFiles();
app.UseRouting();
app.UseCors("AllowAll");
app.UseAuthentication(); // Add this line to enable authentication
app.UseAuthorization();
app.MapControllerRoute(
name: "default",
pattern: "{controller}/{action=Index}/{id?}");
app.MapFallbackToFile("index.html");
app.Run();" and it's throwing that error: "Unhandled exception. System.Net.Sockets.SocketException (10049): The requested address is not valid in its context.
at System.Net.Sockets.Socket.UpdateStatusAfterSocketErrorAndThrowException(SocketError error, Boolean disconnectOnFailure, String callerName)
at System.Net.Sockets.Socket.DoBind(EndPoint endPointSnapshot, SocketAddress socketAddress)
at System.Net.Sockets.Socket.Bind(EndPoint localEP)
at Microsoft.AspNetCore.Server.Kestrel.Transport.Sockets.SocketTransportOptions.CreateDefaultBoundListenSocket(EndPoint endpoint)
at Microsoft.AspNetCore.Server.Kestrel.Transport.Sockets.SocketConnectionListener.Bind()
at Microsoft.AspNetCore.Server.Kestrel.Transport.Sockets.SocketTransportFactory.BindAsync(EndPoint endpoint, CancellationToken cancellationToken)
at Microsoft.AspNetCore.Server.Kestrel.Core.Internal.Infrastructure.TransportManager.BindAsync(EndPoint endPoint, ConnectionDelegate connectionDelegate, EndpointConfig endpointConfig, CancellationToken cancellationToken)
at Microsoft.AspNetCore.Server.Kestrel.Core.KestrelServerImpl.<>c__DisplayClass30_0`1.<<StartAsync>g__OnBind|0>d.MoveNext()
--- End of stack trace from previous location ---
at Microsoft.AspNetCore.Server.Kestrel.Core.Internal.AddressBinder.BindEndpointAsync(ListenOptions endpoint, AddressBindContext context, CancellationToken cancellationToken)
at Microsoft.AspNetCore.Server.Kestrel.Core.ListenOptions.BindAsync(AddressBindContext context, CancellationToken cancellationToken)
at Microsoft.AspNetCore.Server.Kestrel.Core.Internal.AddressBinder.AddressesStrategy.BindAsync(AddressBindContext context, CancellationToken cancellationToken)
at Microsoft.AspNetCore.Server.Kestrel.Core.Internal.AddressBinder.BindAsync(IEnumerable`1 listenOptions, AddressBindContext context, CancellationToken cancellationToken)
at Microsoft.AspNetCore.Server.Kestrel.Core.KestrelServerImpl.BindAsync(CancellationToken cancellationToken)
at Microsoft.AspNetCore.Server.Kestrel.Core.KestrelServerImpl.StartAsync[TContext](IHttpApplication`1 application, CancellationToken cancellationToken)
at Microsoft.AspNetCore.Hosting.GenericWebHostService.StartAsync(CancellationToken cancellationToken)
at Microsoft.Extensions.Hosting.Internal.Host.StartAsync(CancellationToken cancellationToken)
at Microsoft.Extensions.Hosting.HostingAbstractionsHostExtensions.RunAsync(IHost host, CancellationToken token)
at Microsoft.Extensions.Hosting.HostingAbstractionsHostExtensions.RunAsync(IHost host, CancellationToken token)
at Microsoft.Extensions.Hosting.HostingAbstractionsHostExtensions.Run(IHost host)
at Program.<Main>$(String[] args) in C:\Users\kingk\Desktop\Cryptotaskys\cryptotasky\Program.cs:line 62
C:\Users\kingk\Desktop\Cryptotaskys\cryptotasky\bin\Debug\net7.0\cryptotasky.exe (process 14288) exited with code -532462766.
Press any key to close this window . . ." find the issue and fix it. | f52c9167f84ee17f631e68a3a8bf4d0a | {
"intermediate": 0.3023141622543335,
"beginner": 0.4576583206653595,
"expert": 0.24002759158611298
} |
15,717 | #include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <unistd.h>
#include <sys/types.h>
#include <sys/wait.h>
#include <fcntl.h>
#define MAX_COMMANDS 7
#define MAX_ARGS 10
#define MAX_INPUT_LENGTH 100
void execute_command(char *command) {
pid_t pid = fork();
if (pid == -1) {
perror("Error forking child process");
exit(EXIT_FAILURE);
} else if (pid == 0) {
// Child process
char *args[MAX_ARGS];
int argc = 0;
// Tokenize the command into arguments
char *token = strtok(command, " ");
while (token != NULL && argc < MAX_ARGS) {
args[argc++] = token;
token = strtok(NULL, " ");
}
args[argc] = NULL;
// Execute the command
if (execvp(args[0], args) == -1) {
perror("Error executing command");
exit(EXIT_FAILURE);
}
} else {
// Parent process
if (wait(NULL) == -1) {
perror("Error waiting for child process");
exit(EXIT_FAILURE);
}
}
}
void execute_piped_commands(char *commands[], int num_commands) {
int pipes[num_commands - 1][2];
int command_status[MAX_COMMANDS] = {0};
// Create pipes for each command
for (int i = 0; i < num_commands - 1; i++) {
if (pipe(pipes[i]) == -1) {
perror("Error creating pipe");
exit(EXIT_FAILURE);
}
}
// Fork child processes for each command
for (int i = 0; i < num_commands; i++) {
pid_t pid = fork();
if (pid == -1) {
perror("Error forking child process");
exit(EXIT_FAILURE);
} else if (pid == 0) {
// Child process
// Redirect input/output as necessary
if (i == 0) {
// First command, redirect output to pipe
if (dup2(pipes[i][1], STDOUT_FILENO) == -1) {
perror("Error redirecting output");
exit(EXIT_FAILURE);
}
// Close unused read end of the pipe
close(pipes[i][0]);
} else if (i == num_commands - 1) {
// Last command, redirect input from pipe
if (dup2(pipes[i - 1][0], STDIN_FILENO) == -1) {
perror("Error redirecting input");
exit(EXIT_FAILURE);
}
// Close unused write end of the pipe
close(pipes[i - 1][1]);
} else {
// Middle commands, redirect both input and output
if (dup2(pipes[i - 1][0], STDIN_FILENO) == -1) {
perror("Error redirecting input");
exit(EXIT_FAILURE);
}
if (dup2(pipes[i][1], STDOUT_FILENO) == -1) {
perror("Error redirecting output");
exit(EXIT_FAILURE);
}
// Close unused ends of the pipes
close(pipes[i - 1][1]);
close(pipes[i][0]);
}
// Close all pipe ends
for (int j = 0; j < num_commands - 1; j++) {
close(pipes[j][0]);
close(pipes[j][1]);
}
// Execute the command
execute_command(commands[i]);
exit(EXIT_SUCCESS);
}
}
// Close all pipe ends in the parent process
for (int i = 0; i < num_commands - 1; i++) {
close(pipes[i][0]);
close(pipes[i][1]);
}
// Wait for child processes to finish and collect their exit status
for (int i = 0; i < num_commands; i++) {
int status;
if (wait(&status) == -1) {
perror("Error waiting for child process");
exit(EXIT_FAILURE);
}
command_status[i] = WEXITSTATUS(status);
}
// Determine the overall exit status based on the logical operators
int overall_status = 0;
for (int i = 0; i < num_commands; i++) {
if (command_status[i] != 0 && commands[i][0] == '&') {
overall_status = 1;
break;
}
if (command_status[i] == 0 && commands[i][0] == '|') {
overall_status = 1;
break;
}
}
// exit(overall_status);
}
void execute_command_with_redirection(char *command, char *filename, int mode) {
int fd;
// Open the file for redirection
if (mode == 0) {
fd = open(filename, O_WRONLY | O_CREAT | O_TRUNC, 0644);
} else if (mode == 1) {
fd = open(filename, O_WRONLY | O_CREAT | O_APPEND, 0644);
} else if (mode == 2) {
fd = open(filename, O_RDONLY);
}
if (fd == -1) {
perror("Error opening file");
exit(EXIT_FAILURE);
}
// Fork a child process
pid_t pid = fork();
if (pid == -1) {
perror("Error forking child process");
exit(EXIT_FAILURE);
} else if (pid == 0) {
// Child process
if (mode == 0 || mode == 1) {
// Output redirection
if (dup2(fd, STDOUT_FILENO) == -1) {
perror("Error redirecting output");
exit(EXIT_FAILURE);
}
} else if (mode == 2) {
// Input redirection
if (dup2(fd, STDIN_FILENO) == -1) {
perror("Error redirecting input");
exit(EXIT_FAILURE);
}
}
// Close the file descriptor
close(fd);
// Tokenize the command into arguments
char *args[MAX_ARGS];
int argc = 0;
char *token = strtok(command, " ");
while (token != NULL && argc < MAX_ARGS) {
args[argc++] = token;
token = strtok(NULL, " ");
}
args[argc] = NULL;
// Execute the command
if (execvp(args[0], args) == -1) {
perror("Error executing command");
exit(EXIT_FAILURE);
}
}
// Close the file descriptor in the parent process
close(fd);
// Wait for the child process to finish
if (wait(NULL) == -1) {
perror("Error waiting for child process");
exit(EXIT_FAILURE);
}
}
int main() {
char input[MAX_INPUT_LENGTH];
while (1) {
printf("mshell$ ");
fgets(input, sizeof(input), stdin);
// Remove the newline character from the input
input[strcspn(input, "\n")] = '\0';
// Tokenize the input into commands
char *commands[MAX_COMMANDS];
int num_commands = 0;
char *token = strtok(input, "|");
while (token != NULL && num_commands < MAX_COMMANDS) {
commands[num_commands++] = token;
token = strtok(NULL, "|");
}
// Check if piping is required
if (num_commands > 1) {
execute_piped_commands(commands, num_commands);
// Remove the exit statement here
} else {
// Tokenize the command into individual commands
char *sequential_commands[MAX_COMMANDS];
int num_sequential_commands = 0;
token = strtok(commands[0], ";");
while (token != NULL && num_sequential_commands < MAX_COMMANDS) {
sequential_commands[num_sequential_commands++] = token;
token = strtok(NULL, ";");
}
// Execute each command sequentially
for (int i = 0; i < num_sequential_commands; i++) {
char *command = sequential_commands[i];
// Check for redirection operators
char *output_redirect = strstr(command, ">>");
char *input_redirect = strstr(command, "<");
char *output_redirect_truncate = strstr(command, ">");
if (output_redirect != NULL) {
*output_redirect = '\0';
char *filename = output_redirect + 2;
execute_command_with_redirection(command, filename, 1);
} else if (input_redirect != NULL) {
*input_redirect = '\0';
char *filename = input_redirect + 1;
execute_command_with_redirection(command, filename, 2);
} else if (output_redirect_truncate != NULL) {
*output_redirect_truncate = '\0';
char *filename = output_redirect_truncate + 1;
execute_command_with_redirection(command, filename, 0);
} else {
execute_command(command);
// Remove the exit statement here
}
}
}
}
return 0;
}
in the above code && and || condition is not working correctly | 94427b010810bc9d123674064d893d9e | {
"intermediate": 0.4332476556301117,
"beginner": 0.4227297306060791,
"expert": 0.1440226286649704
} |
15,718 | I use Snapraid on my Openmediavault home server, how do I replace the parity drive? | e34a9bea1c9758cfa610996121d2ae27 | {
"intermediate": 0.6716558933258057,
"beginner": 0.14493931829929352,
"expert": 0.18340471386909485
} |
15,719 | full C# Code for infinite voxel terrain generation | 4cc4865ad0a5731236f271faed86d62e | {
"intermediate": 0.3523073196411133,
"beginner": 0.20005366206169128,
"expert": 0.44763901829719543
} |
15,720 | what is computer | f630a33bf0b73b1de0df82205a6f3d98 | {
"intermediate": 0.22831615805625916,
"beginner": 0.2832443416118622,
"expert": 0.4884394705295563
} |
15,721 | how to merge json in javascript | 12186474f3c96db09ac5081226dc1943 | {
"intermediate": 0.424250990152359,
"beginner": 0.23491165041923523,
"expert": 0.34083735942840576
} |
15,722 | simple python code to convert list of pillow images into a video | 7196a362f26858060bbda1c4b6a619bd | {
"intermediate": 0.3535255193710327,
"beginner": 0.29733699560165405,
"expert": 0.34913748502731323
} |
15,723 | how should i implement hashcode function | 6f7f9753a6829229ab062cf83f6f0c6a | {
"intermediate": 0.2954860031604767,
"beginner": 0.20452871918678284,
"expert": 0.49998530745506287
} |
15,724 | please write me a paper on my family | d005c3bf2a487ef2c003d3870f0cc986 | {
"intermediate": 0.3802781105041504,
"beginner": 0.36892396211624146,
"expert": 0.25079798698425293
} |
15,725 | I'm use AWS S3 replicate feature to replicate objects in one bucket to another region. I have already configured daily replication job, will S3 execute full replication or just replicate incremental changed objects? | 33dec199f006e3b9de19708aadd04f9e | {
"intermediate": 0.45416170358657837,
"beginner": 0.251331627368927,
"expert": 0.29450666904449463
} |
15,726 | In flutter, I use a button in a form of SVG image with complex geometry. How to bound tapping registration only inside it's form and not the whole box (ignore transparent bits) | 69084b28fbb2d0a66bcba6477b495a24 | {
"intermediate": 0.5499039888381958,
"beginner": 0.1825403869152069,
"expert": 0.2675556242465973
} |
15,727 | JavaScript how to drag and drop resize image | 7e8b3cd0f656598b1b429cb30db7fd19 | {
"intermediate": 0.6351029276847839,
"beginner": 0.17867551743984222,
"expert": 0.18622158467769623
} |
15,728 | import { Component, OnInit } from '@angular/core';
import { FormBuilder, FormGroup, Validators, FormArray } from '@angular/forms';
@Component({
selector: 'comp2-component',
templateUrl: './comp2.component.html',
styleUrls: ['./comp2.component.css']
})
export class SecondComponent implements OnInit {
hotelForm: FormGroup | undefined;
constructor(private formBuilder: FormBuilder) { }
ngOnInit(): void {
this.hotelForm = this.formBuilder.group({
hotel: this.formBuilder.group({
name: ['', Validators.required],
location: ['', Validators.required],
hotelOwner: ['', Validators.required],
telNumber: ['', Validators.required]
}),
contracts: this.formBuilder.array([]),
rooms: this.formBuilder.array([])
});
}
get contracts(): FormArray | null {
return this.hotelForm?.get('contracts') as FormArray;
}
get rooms(): FormArray | null {
return this.hotelForm?.get('rooms') as FormArray;
}
addContract(): void {
this.contracts.push(this.formBuilder.group({
startDate: ['', Validators.required],
endDate: ['', Validators.required],
markup: ['', Validators.required]
}));
}
addRoom(): void {
this.rooms.push(this.formBuilder.group({
typeName: ['', Validators.required],
price: ['', Validators.required],
maxNoOfPeople: ['', Validators.required],
noOfRooms: ['', Validators.required]
}));
}
removeRoom(index: number): void {
this.rooms.removeAt(index);
}
onSubmit(): void {
if (this.hotelForm && this.hotelForm.valid) {
console.log(this.hotelForm.value);
// You can perform further actions here, such as submitting the form data to a server.
}
}
}
<form formGroup="hotelForm" (ngSubmit)="onSubmit()">
<!-- Hotel Information-->
<div formGroupName="hotel">
<div class="form-group">
<label for="name">Hotel Name</label>
<input type="text" class="form-control" id="name" formControlName="name" placeholder="Enter hotel name">
</div>
<div class="form-group">
<label for="location">Location</label>
<input type="text" class="form-control" id="location" formControlName="location" placeholder="Enter location">
</div>
<div class="form-group">
<label for="hotelOwner">Hotel Owner</label>
<input type="text" class="form-control" id="hotelOwner" formControlName="hotelOwner" placeholder="Enter hotel owner">
</div>
<div class="form-group">
<label for="telNumber">Telephone Number</label>
<input type="text" class="form-control" id="telNumber" formControlName="telNumber" placeholder="Enter telephone number">
</div>
</div>
<!-- Contracts -->
<div formArrayName="contracts">
<div *ngFor="let contract of contracts.controls; let i = index" formGroupName="{{i}}">
<h4>Contract {{ i + 1 }}</h4>
<div class="form-row">
<div class="form-group col-md-6">
<label for="startDate">Start Date</label>
<input type="text" class="form-control" id="startDate" formControlName="startDate" placeholder="Select start date">
</div>
<div class="form-group col-md-6">
<label for="endDate">End Date</label>
<input type="text" class="form-control" id="endDate" formControlName="endDate" placeholder="Select end date">
</div>
</div>
<div class="form-group">
<label for="markup">Markup</label>
<input type="text" class="form-control" id="markup" formControlName="markup" placeholder="Enter markup">
</div>
</div>
<button type="button" class="btn btn-secondary" (click)="addContract()">Add Contract</button>
</div>
<!-- Rooms -->
<div formArrayName="rooms">
<div *ngFor="let room of rooms.controls; let i = index" [formGroupName]="i">
<h4>Room {{ i + 1 }}</h4>
<div class="form-group">
<label for="typeName">Room Type</label>
<input type="text" class="form-control" id="typeName" formControlName="typeName" placeholder="Enter room type">
</div>
<div class="form-group">
<label for="price">Price</label>
<input type="text" class="form-control" id="price" formControlName="price" placeholder="Enter price">
</div>
<div class="form-group">
<label for="maxNoOfPeople">Maximum Number of People</label>
<input type="text" class="form-control" id="maxNoOfPeople" formControlName="maxNoOfPeople" placeholder="Enter maximum number of people">
</div>
<div class="form-group">
<label for="noOfRooms">Number of Rooms</label>
<input type="text" class="form-control" id="noOfRooms" formControlName="noOfRooms" placeholder="Enter number of rooms">
</div>
<button type="button" class="btn btn-danger" (click)="removeRoom(i)">Remove Room</button>
</div>
<button type="button" class="btn btn-success" (click)="addRoom()">Add Room</button>
</div>
<button type="submit" class="btn btn-primary">Submit</button>
</form> | de3e5ace8a3349297f963b3fac50cde7 | {
"intermediate": 0.34599000215530396,
"beginner": 0.40910014510154724,
"expert": 0.2449098378419876
} |
15,729 | 你好，以下报错怎么解决：/Users/luoyujia/anaconda3/envs/tensorflow230/lib/python3.6/site-packages/sklearn/utils/validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().
return f(*args, **kwargs) | 9b83d5d1fc6bf24df0e174e62803f554 | {
"intermediate": 0.45052045583724976,
"beginner": 0.22004978358745575,
"expert": 0.3294297456741333
} |
15,730 | request_threaded_irq() | 668e91f8ebe87398a740794afe630a8a | {
"intermediate": 0.2805408239364624,
"beginner": 0.21022355556488037,
"expert": 0.509235680103302
} |
15,731 | implement freertos version of request_threaded_irq() as a whole function, you are only allowed to use xTask apis | 955a19ac2fdf02ac343e3ddb03ae52bf | {
"intermediate": 0.4526723027229309,
"beginner": 0.2842234969139099,
"expert": 0.26310423016548157
} |
15,732 | write a code for a simple tic tac toe game in python | 0180e43f0e4eb7b89f7ccbffba08d965 | {
"intermediate": 0.32690274715423584,
"beginner": 0.3427581191062927,
"expert": 0.33033910393714905
} |
15,733 | I want to use retrieval agumented generation in local. Using hugging face transformer pretrained model flan-gl2, chromadb with local persistence. Give the the detailed instructions and code to do the implementation. | 9597541b7ac2807833b91efa573e7d05 | {
"intermediate": 0.2749060094356537,
"beginner": 0.13579201698303223,
"expert": 0.5893020629882812
} |
15,734 | Problem statement
Ahmed was thinking about coding a new algorithm to get the unique values in an array A, which holds repetitive values N numbers. Moreover, Ahmed wants to solve it with a perfect approach in order to send it to Gammal Tech for the volunteering points.
Can you help Ahmed to get Gammal Tech volunteering points?
Input
First line contains a number N (1 ≤ N ≤ 10^3) the number of elements.
Second line contains N numbers (0 ≤ A[ i ]≤ 10^9).
Output
Print unique elements in the array.
c programe use x[ ] | bc7d1729cedf13a84e04f5f3bbe4744a | {
"intermediate": 0.2157118171453476,
"beginner": 0.2293396145105362,
"expert": 0.554948627948761
} |
15,735 | Do opengl loaders allow one to use the various prefixed extensions (ARB_, etc.) in ancient opengl versions automatically, by using the not prefixed names of modern opengl versions? | 6872454ea1784e1abac0116fc4e291d3 | {
"intermediate": 0.4637162685394287,
"beginner": 0.28024619817733765,
"expert": 0.25603753328323364
} |
15,736 | A program that asks the user to enter a sentence with a maximum of 50 characters, and prints the number of the most frequent characters in the sentence
c programe use #include <stdio.h> just | d6df81735035bef3330afade188b309b | {
"intermediate": 0.5773029327392578,
"beginner": 0.17822495102882385,
"expert": 0.24447213113307953
} |
15,737 | c برنامج يطلب من المستخدم إدخال جملة بحد أقصى 50 حرفًا ، ويطبع عدد الأحرف الأكثر تكرار في الجملة استخدم برنامج | e334036bb958753fec18a0316ba60985 | {
"intermediate": 0.2785409092903137,
"beginner": 0.40534508228302,
"expert": 0.31611403822898865
} |
15,738 | где в коде это прописывать ? import io.sentry.Sentry;
Sentry.configureScope(scope -> scope.setTransaction("UserListView")); | 93e21c8a92e3907790d05f2beb943921 | {
"intermediate": 0.45783400535583496,
"beginner": 0.31227731704711914,
"expert": 0.2298886477947235
} |
15,739 | translate css code to WPF c# * {
margin: 0;
padding: 0;
box-sizing: border-box;
}
:root {
--index: calc(1vw + 1vh);
--transition: 1.5s cubic-bezier(.05, .5, 0, 1);
}
@font-face {
font-family: kamerik-3d;
src: url(../fonts/kamerik205-heavy.woff2);
font-weight: 900;
}
@font-face {
font-family: merriweather-italic-3d;
src: url(../fonts/merriweather-regular-italic.woff2);
}
body {
background-color: #000;
color: #fff;
font-family: kamerik-3d;
}
.logo {
--logo-size: calc(var(--index) * 7.8);
width: var(--logo-size);
height: var(--logo-size);
background-repeat: no-repeat;
position: absolute;
left: calc(51% - calc(var(--logo-size) / 2));
top: calc(var(--index) * 2.8);
z-index: 1;
}
.layers {
perspective: 1000px;
overflow: hidden;
}
.layers__container {
height: 100vh;
min-height: 500px;
transform-style: preserve-3d;
transform: rotateX(var(--move-y)) rotateY(var(--move-x));
will-change: transform;
transition: transform var(--transition);
}
.layers__item {
position: absolute;
inset: -5vw;
background-size: cover;
background-position: center;
display: flex;
align-items: center;
justify-content: center;
}
.layer-1 {
transform: translateZ(-55px) scale(1.06);
}
.layer-2 {
transform: translateZ(80px) scale(.88);
}
.layer-3 {
transform: translateZ(180px) scale(.8);
}
.layer-4 {
transform: translateZ(190px) scale(.9);
}
.layer-5 {
transform: translateZ(300px) scale(.9);
}
.layer-6 {
transform: translateZ(380px);
}
.hero-content {
font-size: calc(var(--index) * 2.9);
text-align: center;
text-transform: uppercase;
letter-spacing: calc(var(--index) * -.15);
line-height: 1.35em;
margin-top: calc(var(--index) * 5.5);
}
.hero-content span {
display: block;
}
.hero-content__p {
text-transform: none;
font-family: merriweather-italic-3d;
letter-spacing: normal;
font-size: calc(var(--index) * .73);
line-height: 3;
}
.button-start {
font-family: Arial;
font-weight: 600;
text-transform: uppercase;
font-size: calc(var(--index) * .71);
letter-spacing: -.02vw;
padding: calc(var(--index) * .7) calc(var(--index) * 1.25);
background-color: transparent;
color: #fff;
border-radius: 10em;
border: rgb(255 255 255 / .4) 3px solid;
outline: none;
cursor: pointer;
margin-top: calc(var(--index) * 2.5);
}
.layer-4, .layer-5, .layer-6 {
pointer-events: none;
} | 70a0d97d4649dbd59d97ff9ef0493792 | {
"intermediate": 0.2567306458950043,
"beginner": 0.4628993570804596,
"expert": 0.28036996722221375
} |
15,740 | public static Mono<ValidRequest> create(OplRequestData oplRequestData) {
switch (oplRequestData.getTypeOperation()){
case on: return CreateUpdateRequest.createCreateUpdateRequest(oplRequestData);
}
} | ec109b181126b63862f6e3842b1cf166 | {
"intermediate": 0.3686267137527466,
"beginner": 0.4420333504676819,
"expert": 0.18933993577957153
} |
15,741 | how to make 1 slider out of 2 sliders with different ranges in WPF <Slider Minimum=“-90” Maximum=“90” Value=“{Binding ElementName=rotate, Path= Angle}” /> | c37dd8ebd69da041af1f09091461e5a1 | {
"intermediate": 0.4444824159145355,
"beginner": 0.2926318347454071,
"expert": 0.262885719537735
} |
15,742 | To test the API request for post request with /CheckLicense endpoint and body {
"instanceType": " Developer",
"webApplication": " https://org8ec9810d.crm6.dynamics.com/",
"environmentId": " 3b6196c2-c722-ea44-b36f-84d353d1b0c1",
"environmentFriendlyName": " DataPress Environment",
"orgVersion": " 9.2.23062.168",
"tenantId": " ede123e5-d464-4560-bd5f-7ee8d5807f08",
"uniqueName": " unqa8c521a7a71a41c586e51f1b8d42f",
"state": " Enabled",
"urlName": " org8ec9810d",
"geo": " OCE",
"activeUsers": 6,
"activeWpSites": 0,
"solutions": [
{
"solutionName": " Field for Test",
"version": " 1.0.0.6",
"publisher": " AlexaCRM Dev"
}
]
} response should be like this {
"clientName": "Beta User",
"clientEmail": "beta@alexacrm.com",
"issuedOn": "2023-02-01T00:00:00",
"expiresOn": "2023-07-01T00:00:00",
"gracePeriodExpiresOn": null,
"instanceType": " Developer",
"isEnabledVirtualRequest": true,
"features": [
{
"name": "RetrieveView",
"isEnabled": true
},
{
"name": "RetrieveViews",
"isEnabled": true
},
{
"name": "RetrieveForm",
"isEnabled": true
},
{
"name": "RetrieveForms",
"isEnabled": true
},
{
"name": "AuthorizeUser",
"isEnabled": true
},
{
"name": "AssociateUser",
"isEnabled": true
},
{
"name": "RetrieveUser",
"isEnabled": true
},
{
"name": "AuthorizeUserRef",
"isEnabled": true
}
],
"addons": null,
"licenseName": null
} | db2ce235d2df24caa7a711c01a3faa74 | {
"intermediate": 0.541338324546814,
"beginner": 0.25534918904304504,
"expert": 0.20331257581710815
} |
15,743 | <Slider Minimum="40" Maximum="80" />
<Slider Minimum="90" Maximum="180" />
how to make 1 slider out of 2 sliders with different ranges in WPF | fdd6277f91bb6dbc5e21432935bffa95 | {
"intermediate": 0.3548508286476135,
"beginner": 0.260795921087265,
"expert": 0.3843532204627991
} |
15,744 | How can I add a stromg trasparency to this background color?
background-image: url(/wp-content/uploads/2023/06/overlay.png),linear-gradient(360deg,#311a1d 0%,#50C878 3%); | 3302519e74064b35bd91231072b36103 | {
"intermediate": 0.3196820318698883,
"beginner": 0.30411496758461,
"expert": 0.3762030005455017
} |
15,745 | 你好，我接到一个客户的项目，实现需求如下：在TensorFlow 2.3中，使用FastText进行中文文本分类，帮忙给出一个包含中文文本和对应分类、数据预处理、分词、向量化、训练、预测、评估及模型保存在内的完整例子，要求模型训练准确率达到90%以上，并且代码可直接运行。谢谢！ | 7313f8c3c88f38214d551da160d84a12 | {
"intermediate": 0.35692286491394043,
"beginner": 0.20744630694389343,
"expert": 0.43563082814216614
} |
15,746 | switch java version powershell | 014d525017852953f6c87e1a428c1f62 | {
"intermediate": 0.4526107609272003,
"beginner": 0.2880341112613678,
"expert": 0.25935518741607666
} |
15,747 | int main() {
long long HEX;
int POWER;//存储幂
bool ZHENG;//判断是否为正数
cout << "请输入十六进制数字：";
scanf_s("%x", HEX);
if (HEX >= pow(2, 31)) {
ZHENG = false;
HEX = (HEX - pow(16, 7)) * 2;
}
else {
ZHENG = true;
HEX *= 2;
}
POWER = (HEX >> 24)-127;
for (int i = 0; i < 8; ++i) {
HEX = HEX << 1;
if (HEX >= pow(2, 32))
HEX -= pow(2, 32);
}
HEX += pow(2, 32);
while (!(HEX % 2))
HEX /= 2;
int temp1;
double temp2;
int k = 0, i = 0;
for (; k < HEX; i++)
k = pow(2, i);//i=11
temp1 = HEX >> (i - POWER - 2);
temp2= HEX-temp1*pow(2, i - POWER - 2);
for(int k=0;k<i - POWER - 2;++k)
temp2 /= 2;
if(ZHENG)
cout<<"十进制数的形式为："<<temp1 + temp2;
else
cout << "十进制数的形式为：" << -temp1 - temp2;
return 0;
}这个代码要在C环境中运行应该怎么修改 | 8920a5d046d2193891c133756f9bf301 | {
"intermediate": 0.2344539910554886,
"beginner": 0.5468157529830933,
"expert": 0.21873024106025696
} |
15,748 | how can i write this method using spring reactive webflux mono/flux? provide me an example and explain also why it should be better:
public void sendToQueue(LoginRequestElement loginRequestElement){
try {
// employee = new Employee("Micheal", "Jackson", 10000L, new Date(), 24);
//String jsonObj = new XmlMapper().writer().withDefaultPrettyPrinter().writeValueAsString(loginRequestElement);
jmsTemplate.send(queue, messageCreator -> {
TextMessage message = messageCreator.createTextMessage();
//message.setText(jsonObj);
SOAPMessage message1 = soapUtilities.createSoapRequest(loginRequestElement);
ByteArrayOutputStream out = new ByteArrayOutputStream();
try {
message1.writeTo(out);
} catch (SOAPException e) {
e.printStackTrace();
} catch (IOException e) {
e.printStackTrace();
}
String strMsg = new String(out.toByteArray());
message.setText(strMsg);
return message;
});
}
catch (Exception ex) {
System.out.println("ERROR in sending message to queue");
}
} | beb272e6b117f711f7d42dff77681f15 | {
"intermediate": 0.4921753406524658,
"beginner": 0.3988914489746094,
"expert": 0.10893320292234421
} |
15,749 | bet way to design Parent - child ui page in flutter | 030c3f58479e7a26b7c743d0c861fa4f | {
"intermediate": 0.2684750556945801,
"beginner": 0.2308211326599121,
"expert": 0.5007038116455078
} |
15,750 | i have this utility class made with webflux:
package com.mediaworld.apimanager.utilities;
import com.mediaworld.apimanager.models.LoginRequestElement;
import jakarta.xml.soap.*;
import org.springframework.stereotype.Component;
import reactor.core.publisher.Mono;
@Component
public class ReactiveSoapUtilities {
public Mono<SOAPMessage> createSoapRequestReactive(Mono<LoginRequestElement> loginRequestElement){
return loginRequestElement.flatMap( requestElement -> {
SOAPMessage request = null;
try {
MessageFactory messageFactory = MessageFactory.newInstance(SOAPConstants.SOAP_1_1_PROTOCOL);
request = messageFactory.createMessage();
SOAPPart messagePart = request.getSOAPPart();
SOAPEnvelope envelope = messagePart.getEnvelope();
//envelope.removeNamespaceDeclaration(envelope.getPrefix());
envelope.setPrefix("SOAP-ENV");
/*SOAPHeader header = request.getSOAPHeader();
header.setPrefix("soap-env-3");*/
/*String soapAction = "/LoginService/login";
request.getMimeHeaders().addHeader("SOAPAction",soapAction);*/
SOAPBody body = envelope.getBody();
body.setPrefix("SOAP-ENV");
SOAPElement loginRequestElement1 = body.addChildElement("loginRequestElement","ns0","http://www.tibco.com/schemas/login_bw_project/login/schemas/Schema.xsd");
SOAPElement userElement = loginRequestElement1.addChildElement("user","ns0");
userElement.setTextContent(requestElement.getUser());
SOAPElement passwordElement = loginRequestElement1.addChildElement("pass","ns0");
passwordElement.setTextContent(requestElement.getPassword());
request.writeTo(System.out);
return Mono.just(request);
}catch (Exception e){
return Mono.error(e);
}
});
}
}
then i have this service class which calls it, but i need to modify it because it is not implemented to read a Mono<SOAPMessage>, how can i modify in order to make it work properly?
package com.mediaworld.apimanager.testActiveMQ.service;
import com.mediaworld.apimanager.models.LoginRequestElement;
import com.mediaworld.apimanager.utilities.ReactiveSoapUtilities;
import jakarta.jms.TextMessage;
import jakarta.xml.soap.SOAPException;
import jakarta.xml.soap.SOAPMessage;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.jms.core.JmsTemplate;
import org.springframework.stereotype.Service;
import java.io.ByteArrayOutputStream;
import java.io.IOException;
@Service
public class ReactiveProducerService {
@Value("${spring.activemq.topic}")
String topic;
@Value("${spring.activemq.queue}")
String queue;
@Autowired
JmsTemplate jmsTemplate;
@Autowired
private ReactiveSoapUtilities reactiveSoapUtilities;
public void sendToQueue(LoginRequestElement loginRequestElement){
try {
// employee = new Employee("Micheal", "Jackson", 10000L, new Date(), 24);
//String jsonObj = new XmlMapper().writer().withDefaultPrettyPrinter().writeValueAsString(loginRequestElement);
jmsTemplate.send(queue, messageCreator -> {
TextMessage message = messageCreator.createTextMessage();
//message.setText(jsonObj);
SOAPMessage message1 = reactiveSoapUtilities.createSoapRequest(loginRequestElement);
ByteArrayOutputStream out = new ByteArrayOutputStream();
try {
message1.writeTo(out);
} catch (SOAPException e) {
e.printStackTrace();
} catch (IOException e) {
e.printStackTrace();
}
String strMsg = new String(out.toByteArray());
message.setText(strMsg);
return message;
});
}
catch (Exception ex) {
System.out.println("ERROR in sending message to queue");
}
}
} | ed3ab461fd9b99f84fd056e9008cf76d | {
"intermediate": 0.32544171810150146,
"beginner": 0.48458975553512573,
"expert": 0.18996860086917877
} |
15,751 | how to use xcopy to make a backup script which copy and replace the newest files and delete the deleted files for some folders. | a9efe9f975d598d2c85a92fe99ff39e1 | {
"intermediate": 0.3467649817466736,
"beginner": 0.28009742498397827,
"expert": 0.37313753366470337
} |
15,752 | Assignment - Database Developer
Outcome/Task/Result - Build a candidate management database
schema using MYSQL OR MSSQL only.
The schema contains three primary entities -
● Account
● User
● Candidate
Account entity contains following fields:
Column
Name
Description
ID Unique id per Account
Title Name of the Account
Candidates
Created count
Count of candidates created on Account
Candidates
Deleted count
Count of candidates created on Account
User entity contains following fields:
Column
Name
Description
ID Unique id per User record
First Name First Name of User
Last Name Last Name of User
Email Id Email Address of User
AccountID AccountID of the User
Candidates
Created count
Count of candidates created by User
Candidates
Deleted count
Count of candidates created by User
Candidate entity has following fields:
Field Description
ID Unique id per candidate record
Serial Number Unique sequence number (serial number) per
account.
First Name First Name of candidate
Last Name Last Name of candidate
Email Address Email Address of candidate
Gender Id Gender id of candidate
Contact number Contact number of candidate(can be multiple using
comma)
Qualification Id Qualification id of the candidate
Date of Birth Date of birth
Resume File
Link
Link of the Resume File
Resume text Extracted text from resume. Should be searchable
and quick.
Resume File
name
Resume File name
Willing to
relocate
Does the candidate wish to relocate? 0 - no, 1 -yes
Slug Unique string(can be used to mask id in urls)
Linked In Url Linkedin profile url
AccountID AccountID of Candidate record
Created By
User Id
User id who has created the record
Created On Time when record was created
Address Full address of candidate
Latitude Latitude
Longitude Longitude
Skills One candidate can have multiple skills
Instructions & Guidelines to create the database schema in mysql that
satisfies following conditions:
● Design and create tables with suitable columns, data types and normalisation.
Ensure appropriate relationships, such as one-to-one, one-to-many, and
many-to-many, are maintained. If necessary, create additional tables.
● Implement reference tables with relevant values for the dependent fields (shown
in yellow).
● Incorporate indexes on columns that are frequently used in search or join
operations. Identify the columns that are commonly queried or involved in joins,
and create indexes to optimise query performance.
● Utilize triggers, procedures, views and functions where necessary to enhance
functionality and maintain scalability. Document these database objects, including
their purpose, input parameters, and expected output.
● Develop and implement a logging mechanism to track and record changes made
to candidate records.
● Share .sql dump file while submitting the assignment. (mandatory)
Assignment Tasks:
Task 1:
a. Document the logging mechanism, including the structure of the log
table, the logged events and the information captured in the logs.
b. Create comprehensive documentation for the database schema,
including table definitions, column descriptions, relationships, and
indexes. Document any naming conventions, data constraints, and
data types used throughout the schema.
c. Document any specific design decisions, such as the reasoning
behind the choice of normalisation levels, table structures and
relationships.
(Note : You need to write the documentation along with queries, tables etc. for a, b & c to
get maximum scores)
Task 2:
a. Write a query to delete the User record.(Mandatory)
b. Write a query to search candidates based on name, email and
linkedIn URLs.
c. Write an optimized boolean search query to fetch candidate
records using resumetext.
d. Write a query to fetch comma separated User IDs against each
account title.
e. Write a query to fetch counts of Candidates, based on gender, on
each account. | 96dc5f492677c7b9b604c14161e65727 | {
"intermediate": 0.3296157717704773,
"beginner": 0.38350918889045715,
"expert": 0.28687500953674316
} |
15,753 | I have three ranges H5:H38, L5:L24, P5:P14.
I would like to enter a text value in P3 and have a VBA code that will search my ranges and highlight any cell that contains the text value in P3.
Is it possible to do this | 5aef63fe83783b673734c37cffbf8c03 | {
"intermediate": 0.497422993183136,
"beginner": 0.2008078694343567,
"expert": 0.30176910758018494
} |
15,754 | Medical imaging to analyze and detect different diseases and problems now a day an emerging field.
In this project we will design automated techniques and methods to analyze and detect bone fracture
from X-ray images. X-ray images when examined manually it is time consuming and prone to errors.
So our proposed system is able to detect fracture more accurately. images are a crucial resource for
assessing the severity and prediction of bone injuries caused by trauma or accident. Fracture
detection in long bones is a very challenging task due to the limited resolution of the original X-Ray
images, as well as the complexity of bone structures and their possible fractures. So our proposed
automated bone fracture detection system will work on these aspects.
Functional Requirements:
The system should have the following features:
• Image Datasets are maintained
• Image is selected for examine.
• Image is shown as real image and then focused or noise removed image
• Noise is removed from the image and image is transformed to clearer image so that system
can easily detect fracture
• Clearer image is used to detect fracture
• System detects fracture based on the type of fracture. 1.fracture 2. Non fracture | b3a9267ffd2897782f444e38df13fee8 | {
"intermediate": 0.21692590415477753,
"beginner": 0.26390349864959717,
"expert": 0.5191705822944641
} |
15,755 | How run a fast api and connection to python | 229e944411a1ea65620894a70d4d0e7d | {
"intermediate": 0.7013707160949707,
"beginner": 0.10720642656087875,
"expert": 0.19142284989356995
} |
15,756 | i have parent child groups conatin 3 level of child ,every group has arabic name and english name field , how to design Parent - child ui page in flutter to recieve data from user with example : it is fine if you use 3 tabs widget to manage this | 76a2513277dc8915217f739635262b8c | {
"intermediate": 0.5777782201766968,
"beginner": 0.16340401768684387,
"expert": 0.25881773233413696
} |
15,757 | как настроить мониторинг производительности sentry в spring boot приложении? | d7d4398458b653537c09a078f2fedda4 | {
"intermediate": 0.3329283595085144,
"beginner": 0.23331645131111145,
"expert": 0.43375515937805176
} |
15,758 | describe the use of base128 in security | 5febdc16f570ce5473c7b3fdf4685c8b | {
"intermediate": 0.1799420267343521,
"beginner": 0.26495879888534546,
"expert": 0.5550991296768188
} |
15,759 | Я напишу тебе программу на языке python, на входе которой даётся словарь с датами заездов, а на выходе рисуется картинка, содержащая таблицу из 8 строк и 5 столбцов.
Программа:
from PIL import Image, ImageDraw, ImageFont
def draw_date_header(text, font, cell_width):
cell_text = text
# Находим размер текста с помощью метода font.getbbox
text_bbox = font.getbbox(cell_text)
text_width = text_bbox[2] - text_bbox[0]
text_height = text_bbox[3] - text_bbox[1]
text_x = x + (cell_width - text_width) // 2
text_y = y + (row_height - text_height) // 2
draw.text((text_x, text_y), cell_text, fill=(0, 0, 0), font=font)
def find_table_width(column_widths, column_spacing):
cell_width = 0
for i in range(0, len(column_widths)):
cell_width = cell_width + column_widths[i] + column_spacing
return cell_width
def draw_table_with_dates(data):
# Создаем изображение размером 1080x1350 пикселей
image = Image.new("RGB", (1080, 1350), (255, 255, 255))
draw = ImageDraw.Draw(image)
# Задаем параметры таблицы
row_height = 75
column_widths = [75, 305, 125, 125, 150]
column_spacing = 10
row_spacing = 10
font = ImageFont.truetype("arial.ttf", size=30)
date_header_font = ImageFont.truetype("arial.ttf", size=50)
# Вычисляем положение таблицы
table_width = sum(column_widths) + column_spacing * (len(column_widths) - 1)
table_height = row_height * 5
x = (image.width - table_width) // 2
y = (image.height - table_height) // 2
# Выводим даты над строками таблицы
#dates = [data.get("first_day_date"), data.get("second_day_date"), data.get("third_day_date")]
#date_y_positions = [y - 50, y + row_height * 2 - 50, y + row_height * 4 - 50]
#for i in range(3):
#date_left, date_top, date_width, date_height = font.getbbox(dates[i])
#date_x_position = (image.width - date_width) // 2
#draw.text((date_x_position, date_y_positions[i]), dates[i], fill=(0, 0, 0), font=font)
current_table_row = 0
current_run = 0
# Рисуем таблицу
for row in range(8):
for col in range(5):
if current_table_row == 0:
cell_width = find_table_width(column_widths, column_spacing)
draw_date_header(data[current_run], date_header_font, cell_width)
continue
else:
if current_table_row >= 2:
if data[current_run] != data[current_run - 1]:
cell_width = find_table_width(column_widths, column_spacing)
draw_date_header(data[current_run], date_header_font)
continue
else:
cell_width = column_widths[col]
if col == 1:
cell_text = data.get("first_run_date")
elif col == 2:
cell_text = data.get("second_run_date")
elif col == 3:
cell_text = data.get("third_run_date")
else:
cell_text = ""
# Находим размер текста с помощью метода font.getbbox
text_bbox = font.getbbox(cell_text)
text_width = text_bbox[2] - text_bbox[0]
text_height = text_bbox[3] - text_bbox[1]
text_x = x + (cell_width - text_width) // 2
text_y = y + (row_height - text_height) // 2
draw.text((text_x, text_y), cell_text, fill=(0, 0, 0), font=font)
# Рисуем ячейку
draw.rectangle([(x, y), (x + cell_width, y + row_height)], outline=(0, 0, 0))
x += cell_width + column_spacing # переходим к следующей ячейке
if (col == 4):
current_run += 1
# Переходим на новую строку
x = (image.width - table_width) // 2
y += row_height + row_spacing
current_table_row += 1
# Сохраняем изображение в файл
image.save("table_with_dates.png")
# Пример использования функции с примером словаря данных
data = {
"first_run_date": "29.11",
"second_run_date": "29.11",
"third_run_date": "30.11",
"fourth_run_date": "30.11",
"fifth_run_date": "31.11"
}
draw_table_with_dates(data)
Сделай так, чтобы в первом столбце каждой строки вставлялась картинка heat.png, с автоматической подгонкой размера под размер ячейки и автоматическим выравниваем картинки в центр ячейки. | fb671806c5593eb5c4e1e0d50c076e7e | {
"intermediate": 0.3015833795070648,
"beginner": 0.5663453936576843,
"expert": 0.13207131624221802
} |
15,760 | <SOAP-ENV:Envelope xmlns:SOAP-ENV="http://schemas.xmlsoap.org/soap/envelope/"><SOAP-ENV:Header/><SOAP-ENV:Body><ns0:loginRequestElement xmlns:ns0="http://www.tibco.com/schemas/login_bw_project/login/schemas/Schema.xsd"><ns0:user><PRESIDIO_ANONYMIZED_EMAIL_ADDRESS></ns0:user><ns0:pass>password</ns0:pass></ns0:loginRequestElement></SOAP-ENV:Body></SOAP-ENV:Envelope>
i need to extract the user and password in java using objectmapper/xmlmapper | 20e937666be0172e69e7d01e8377ab88 | {
"intermediate": 0.46397289633750916,
"beginner": 0.20707514882087708,
"expert": 0.32895195484161377
} |
15,761 | generate a postgres user table query with id,token,type,createdAt and user_id(foreign key referenced from users table) | 18cb36a0c28c5fc4c7312980b41fb5d7 | {
"intermediate": 0.4230273365974426,
"beginner": 0.3266145884990692,
"expert": 0.25035804510116577
} |
15,762 | java code to provide a symbolic square on jpanel, that is indended to drag and drop midi data to an external app outside from java, may be as clipboard action that is dropped when releasing the mouse button | 4defe7cd5cc9bc3c867a61afc6d98f59 | {
"intermediate": 0.7701284885406494,
"beginner": 0.07139626145362854,
"expert": 0.15847526490688324
} |
15,763 | code nodejs upload image to google file store | 4f9c2dd5056ca9ed332f22410287da51 | {
"intermediate": 0.3424929082393646,
"beginner": 0.2700014114379883,
"expert": 0.3875057101249695
} |
15,764 | AttributeError: module 'string' has no attribute 'replace'. Did you mean: 'Template'? | c0791861a58907d4ee6ee28417235d73 | {
"intermediate": 0.4733642637729645,
"beginner": 0.31453704833984375,
"expert": 0.21209868788719177
} |
15,765 | act as a React Native developer
Task: Generate only code with files and its folder structure
Requirement: An app to manage all personal details | 87fa7f3f2c5345d8ea2ff60c03e993b8 | {
"intermediate": 0.4578564167022705,
"beginner": 0.246250718832016,
"expert": 0.2958928644657135
} |
15,766 | use test tokens that map to the test card how to do with flutter | 9cc4c6f8a6122bbe318d2a45851c7e96 | {
"intermediate": 0.5085673928260803,
"beginner": 0.21680337190628052,
"expert": 0.27462923526763916
} |
15,767 | write a python code to take in 3 test inputs and give me the best two average out of three | 913b7f948a6b85b0d84cd55d5d96249f | {
"intermediate": 0.2952837347984314,
"beginner": 0.17872345447540283,
"expert": 0.5259928703308105
} |
15,768 | local variables referenced from a lambda expression must be final or effectively final
int freq1 = (int) Arrays.stream(rank).filter(a -> a == max1).count(); | 95ef85c38c4d3a5caa082933481a2f44 | {
"intermediate": 0.14095696806907654,
"beginner": 0.7600765228271484,
"expert": 0.09896654635667801
} |
15,769 | code nodejs connect and upload image to google cloud storage bucket | ced110f57b25c909c03a5672ed23450c | {
"intermediate": 0.3607296943664551,
"beginner": 0.24693980813026428,
"expert": 0.392330527305603
} |
15,770 | C++ AI car traffic code for Rigs of Rods | c652fcc8d4d294a35d66a10afc34b83d | {
"intermediate": 0.10184017568826675,
"beginner": 0.09419097751379013,
"expert": 0.8039688467979431
} |
15,771 | Hi! Please tell me how do I redirect from one URL to another URL using /etc/host on macOS? | 7dc8cc80bc22aed5efb04cb615c0b1ae | {
"intermediate": 0.5386624932289124,
"beginner": 0.21717695891857147,
"expert": 0.2441604733467102
} |
15,772 | what are the benefits to use chatgpt | 1835c0ec15d11cf7807aa1083ad7cba9 | {
"intermediate": 0.3891594707965851,
"beginner": 0.16803745925426483,
"expert": 0.4428030550479889
} |
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