row_id
int64 0
48.4k
| init_message
stringlengths 1
342k
| conversation_hash
stringlengths 32
32
| scores
dict |
|---|---|---|---|
38,549
|
Are these the same person?
"Person A": {
"address": "2233 South Pard Rd, Chicago, IL, 22002",
"name": {"first_name": "Terrance", "middle_name": "Allen", "last_name": "Parker", "suffix": ""},
"ssn": "111-22-3333",
"dob": "09/17/1997"
},
"Person B": {
"address": "2233 South Park Road, Chicago, IL, 22002",
"name": {"first_name": "Terrance", "middle_name": "A.", "last_name": "Parker", "suffix": ""},
"ssn": "111-22-3333",
"dob": "09/17/1997"
}
|
896bb395fb0fb84e31c9e0fed4e30c28
|
{
"intermediate": 0.35729944705963135,
"beginner": 0.31786903738975525,
"expert": 0.32483145594596863
}
|
38,550
|
I have Firebase database integrated into my simple score counter app. It has a main activity where you can earn coins with watching ads, and a Leaderboard activity, where you can compare your score with other users.
The score is stored in a local variable with (SharedPreferences sharedPreferences = getSharedPreferences("UserPreferences", MODE_PRIVATE);
SharedPreferences.Editor editor = sharedPreferences.edit();
editor.putInt("coinsAmount", amount);
editor.apply();)
and is being synced to the Firebase database.
When launching the app, it retrieves the firebase score, and does a sync with the local score if there is a difference. (prioritizing Firebase value, for manual admin access administrative and safety reasons.)
My question would be, where is it the best to sync the score with Firebase? Every time when the amount of coins change? It would generate a lot of write requests. Do you know any alternatives? Like, when the app is being closed? But how? onStop activates when switching between activities, which is not good for me. How can I make the amount sync to cloud whenever user closes, quits or force closes the app?
|
8d0daea24def13b88d23a99a9c3458b4
|
{
"intermediate": 0.6548652052879333,
"beginner": 0.2193659245967865,
"expert": 0.12576888501644135
}
|
38,551
|
I had this errors marked after sending a PR:
ERROR: recipes/gtfsort/meta.yaml:18: version_constraints_missing_whitespace: Packages and their version constraints must be space separated
ERROR: recipes/gtfsort/meta.yaml:0: missing_run_exports: Recipe should have a run_exports statement that ensures correct pinning in downstream packages
Errors were found
this is my meta.yaml:
{% set version = "0.2.1" %}
package:
name: gtfsort
version: {{ version }}
source:
url: https://github.com/alejandrogzi/gtfsort/archive/refs/tags/v.{{ version }}.tar.gz
sha256: 0fdaa15e22bd34193e2b16b53697b413af0fcf485401f45d48ac48054f1d70f4
build:
number: 0
script: cargo install --path . --root $PREFIX
requirements:
build:
- {{ compiler("cxx") }}
- rust>=1.39
- pkg-config
host:
run:
test:
commands:
- gtfsort --help
- gtfsort --version
about:
home: https://github.com/alejandrogzi/gtfsort
license: MIT
summary: "A chr/pos/feature GTF sorter that uses a lexicographically-based index ordering algorithm."
extra:
recipe-maintainers:
- alejandrogzi
|
0f0610214915ec2e67747a56f569bb4c
|
{
"intermediate": 0.3416573703289032,
"beginner": 0.3606976866722107,
"expert": 0.2976449429988861
}
|
38,552
|
difference between Template-driven forms and reactive forms in Angular and best way to use respective forms
|
994aeac599550590ccab5f5b9d24b207
|
{
"intermediate": 0.433520644903183,
"beginner": 0.3094227910041809,
"expert": 0.25705650448799133
}
|
38,553
|
what is the use of ! and $ in below statements in angular or typescript
subscription! : Subscription;
error$ : Subject<string>=new Subject<string>();
|
464bc85eaf097ba25a99ef8b62f1f607
|
{
"intermediate": 0.5572996139526367,
"beginner": 0.3214486837387085,
"expert": 0.12125175446271896
}
|
38,554
|
we are not able to login in alient valut ossim page has to be refresh when userpass name and password we enter how to fix them
|
53039d5ccad1dd0f7f45bcc11ab8882c
|
{
"intermediate": 0.4630645215511322,
"beginner": 0.17704392969608307,
"expert": 0.3598915934562683
}
|
38,555
|
I am training a model to compare some data, and I am giving it as an input in this format -
Person A:
{
“address”: “66 Lakeview Blvd, Boston, MA, 02125”,
“name”: {“first_name”: “Rebecca”, “middle_name”: “Louise”, “last_name”: “Chen”, “suffix”: “”},
“ssn”: “534-61-2345”,
“dob”: “12/05/1982”
}
Person B:
{
“address”: “66 Lkvw Boulevard, Boston, Massachusetts, 02125”,
“name”: {“first_name”: “Rebecca”, “middle_name”: “L.”, “last_name”: “Chen”, “suffix”: “”},
“ssn”: “534612345”,
“dob”: “05/12/1982”
}
I need your help to create more such examples which I can use.
I need upto 10 more examples, can you generate that?
|
e8bc92cd5b1dfea7397ce64819336d2e
|
{
"intermediate": 0.21767039597034454,
"beginner": 0.2798110842704773,
"expert": 0.5025185346603394
}
|
38,556
|
I have this method in main on Superfighters Deluxe.exe
private static void Main(string[] args)
{
ConsoleOutput.Init();
ServicePointManager.SecurityProtocol |= (SecurityProtocolType.Ssl3 | SecurityProtocolType.Tls | SecurityProtocolType.Tls11 | SecurityProtocolType.Tls12);
if (!Program.VerifyEncryptionKey())
{
MessageBox.Show("Invalid encryption key. Exiting...", "Error", MessageBoxButtons.OK, MessageBoxIcon.Hand);
return;
}
Program.DecryptExecutable();
new Thread(new ThreadStart(Program.ListenForCommands)).Start();
Program.IsGame = true;
// Token: 0x060061CA RID: 25034
private static bool VerifyEncryptionKey()
{
Console.Write("Enter encryption key: ");
string enteredKey = Console.ReadLine();
return string.Equals("YourExpectedKey", enteredKey, StringComparison.OrdinalIgnoreCase);
}
// Token: 0x060061CB RID: 25035
private static void DecryptExecutable()
{
using (Aes aesAlg = Aes.Create())
{
aesAlg.Key = Encoding.UTF8.GetBytes("YourEncryptionKeyHere");
aesAlg.IV = Encoding.UTF8.GetBytes("YourEncryptionKeyHere");
}
}
// Token: 0x060061D8 RID: 25048
private static void ListenForCommands()
{
using (NamedPipeServerStream pipeServer = new NamedPipeServerStream("SuperfightersDeluxePipe"))
{
pipeServer.WaitForConnection();
string command = new StreamReader(pipeServer).ReadToEnd().Trim();
if (command == "DecryptExecutable")
{
Program.DecryptExecutable();
}
else if (command == "GetGameInfo")
{
string gameInfo = "Some game information";
StreamWriter streamWriter = new StreamWriter(pipeServer);
streamWriter.Write(gameInfo);
streamWriter.Flush();
}
pipeServer.Close();
}
}
And I want it to decrypt it upon clicking button2 on c# loader called howque.exe
A differente executable
I want it so when I press button2 it starts sending piperequests. And on the method of Superfighters Deluxe.exe upon opening that method should search for the pipe connection, if it's true then decrypt it
Heres the button2 code
private async void button1_Click(object sender, EventArgs e)
{
if (!isButtonClickable)
{
// Button is not clickable, do nothing
return;
}
// Disable the button
isButtonClickable = false;
button1.Text = "Injecting...";
button1.ForeColor = Color.Red;
button1.Font = new Font(button1.Font, FontStyle.Regular);
try
{
if (!IsGameInstalled())
{
throw new Exception("Superfighters Deluxe is not installed. \nIf you have the game installed and playable in the Steam version, " +
"\n\ncontact Hermano#7066 on Discord" +
"\n\n\nTHE HACKED CLIENT ONLY WORKS WITH THE STEAM VERSION!");
}
try
{
// Inform Superfighters Deluxe.exe to decrypt the executable
await Task.Run(() => ExecutePipeCommand("DecryptExecutable"));
// Start Superfighters Deluxe using the Steam URL asynchronously
Console.WriteLine("Starting Superfighters Deluxe...");
await Task.Run(() => LaunchGame("steam://run/855860"));
// Wait for the game to start
Console.WriteLine("Waiting for the game to start...");
await WaitForGameToStartAsync();
button1.Text = "Injected";
button1.ForeColor = Color.Red;
button1.Font = new Font(button1.Font, FontStyle.Regular);
// Wait for the game to exit
Console.WriteLine("Waiting for the game to exit...");
await WaitForGameToExitAsync();
// Set label text to "Restoring..."
button1.Text = "Restoring...";
button1.ForeColor = Color.Red;
button1.Font = new Font(button1.Font, FontStyle.Regular);
// Delay for 5 seconds
await Task.Delay(3000);
// Enable the button and set label text to "Inject"
isButtonClickable = true;
button1.Text = "Inject";
button1.ForeColor = Color.FromArgb(192, 192, 0);
button1.Font = new Font(button1.Font, FontStyle.Regular);
}
catch (Exception ex)
{
Console.WriteLine($"Error: {ex.Message}");
// Handle exceptions
}
}
catch (Exception ex)
{
Console.WriteLine($"Error: {ex.Message}");
// Handle exceptions
}
finally
{
// Enable the button and set label text to "Inject"
isButtonClickable = true;
button1.Text = "Inject";
button1.ForeColor = Color.FromArgb(192, 192, 0);
button1.Font = new Font(button1.Font, FontStyle.Regular);
}
}
private void ExecutePipeCommand(string command)
{
bool connected = false;
while (!connected)
{
try
{
using (NamedPipeClientStream pipeClient = new NamedPipeClientStream(".", "SuperfightersDeluxePipe"))
{
pipeClient.Connect();
using (StreamWriter writer = new StreamWriter(pipeClient))
{
writer.Write(command);
writer.Flush();
}
connected = true; // Set to true to exit the loop if the connection is successful
}
}
catch (Exception ex)
{
Console.WriteLine($"Error executing pipe command: {ex.Message}");
// Introduce a delay before retrying
Thread.Sleep(1000); // Adjust the delay as needed
}
}
}
|
eeef860bf20f500cbb7517ec50d843df
|
{
"intermediate": 0.3698880076408386,
"beginner": 0.2922239601612091,
"expert": 0.33788803219795227
}
|
38,557
|
First give me all the characters used in french language like abcéà... without uppercase characters. Then make a python script to compress string by giving a character for every pair of character possible in the characters you gave me. Exemple : % = e.
|
347238dd2639c99d963acd21d91c98a5
|
{
"intermediate": 0.4241967499256134,
"beginner": 0.13852882385253906,
"expert": 0.43727439641952515
}
|
38,558
|
I have Firebase database integrated into my simple score counter app. It has a main activity where you can earn coins with watching ads, and a Leaderboard activity, where you can compare your score with other users.
in this app, I want to give score to users proportionally to the rate of real money amount being earned from ads.
Do you think this is roughly correct, or do you have any more accurate recommendations? Like, can’t I just query Google AdMob to return the amount of money earned from the current ad watched like how I can get rewardItem.getAmount();, but with the earned real money amount?
-Add bonus coins for clicking the ad with onAdClicked() method.
{
-onBannerToggle = 1
-onBannerClick = 3
-onInterstitialToggle = 4
-onInterstitialClick = 10
-onRewardedToggle = 12
-onRewardedClicked = 25
}
|
b15a184a80ee978faf4806af491488be
|
{
"intermediate": 0.4690267741680145,
"beginner": 0.3006623685359955,
"expert": 0.23031088709831238
}
|
38,559
|
please explain to me run_exports
|
be706e5c2dc35c4b899592ded42b545e
|
{
"intermediate": 0.3854660093784332,
"beginner": 0.2697382867336273,
"expert": 0.34479576349258423
}
|
38,560
|
hiya
|
4724c33e4eb0a1e240de7778416ccab6
|
{
"intermediate": 0.3402199149131775,
"beginner": 0.27992019057273865,
"expert": 0.3798598647117615
}
|
38,561
|
First give me all the characters used in french language like abcéà... without uppercase characters. Then make a python script to compress string by giving a character for every pair of character possible in the characters you gave me. Exemple : % = e.
|
917656d7df957aa329593413be3ebf17
|
{
"intermediate": 0.4241967499256134,
"beginner": 0.13852882385253906,
"expert": 0.43727439641952515
}
|
38,562
|
what are color no codes rgb foe 4 pixel value in 24 bit entry
|
ad0fa710b86e08b7f5bbe99daf390f20
|
{
"intermediate": 0.37007856369018555,
"beginner": 0.3574492037296295,
"expert": 0.27247223258018494
}
|
38,563
|
Edit this code, I want to be able to generate 2 qr codes on the screen that don't overlap, sometime i'll generate 1, sometimes 2 and they'll display on screen. Use 2 frames, as WoW Lua don't allow garbage clean : local qrcode = ADDONSELF.qrcode
local BLOCK_SIZE = 3.1
-- Define the width of the border
local borderWidth = 2 -- You can adjust this to change the thickness of the border
local qr_frame
local function CreateQRTip(qrsize)
if(qr_frame ~= nil) then
qr_frame:Hide()
end
qr_frame = CreateFrame("Frame", nil, UIParent)
local function CreateBlock(idx)
local t = CreateFrame("Frame", nil, qr_frame)
t:SetWidth(BLOCK_SIZE)
t:SetHeight(BLOCK_SIZE)
t.texture = t:CreateTexture(nil, "OVERLAY")
t.texture:SetAllPoints(t)
local x = (idx % qrsize) * BLOCK_SIZE
local y = (math.floor(idx / qrsize)) * BLOCK_SIZE
t:SetPoint("TOPLEFT", qr_frame, 20 + x, - 20 - y);
return t
end
do
qr_frame:SetFrameStrata("BACKGROUND")
qr_frame:SetWidth(qrsize * BLOCK_SIZE + 40)
qr_frame:SetHeight(qrsize * BLOCK_SIZE + 40)
qr_frame:SetMovable(true)
qr_frame:EnableMouse(true)
qr_frame:SetPoint("CENTER", 0, 0)
qr_frame:RegisterForDrag("LeftButton")
qr_frame:SetScript("OnDragStart", function(self) self:StartMoving() end)
qr_frame:SetScript("OnDragStop", function(self) self:StopMovingOrSizing() end)
end
do
local b = CreateFrame("Button", nil, qr_frame, "UIPanelCloseButton")
b:SetPoint("TOPRIGHT", qr_frame, 0, 0);
end
qr_frame.boxes = {}
qr_frame.SetBlack = function(idx)
qr_frame.boxes[idx].texture:SetColorTexture(0, 0, 0)
end
qr_frame.SetWhite = function(idx)
qr_frame.boxes[idx].texture:SetColorTexture(1, 1, 1)
end
-- Create the blocks with an additional border
for i = 1, (qrsize + 2 * borderWidth) * (qrsize + 2 * borderWidth) do
tinsert(qr_frame.boxes, CreateBlock(i - 1))
end
return qr_frame
end
function CreateQRCode(msg)
local ok, tab_or_message = qrcode(msg, 4)
if not ok then
print(tab_or_message)
else
local tab = tab_or_message
local size = #tab
local qr_frame = CreateQRTip(size + 2 * borderWidth)
qr_frame:Show()
-- Set the border boxes to white
for i = 1, (size + 2 * borderWidth) * (size + 2 * borderWidth) do
qr_frame.SetWhite(i)
end
-- Fill in the QR code boxes, offset by the border width
for x = 1, size do
for y = 1, size do
if tab[x][y] > 0 then
qr_frame.SetBlack((y - 1 + borderWidth) * (size + 2 * borderWidth) + (x - 1 + borderWidth) + 1)
end
end
end
end
end
|
55f8b103840afcf5d854d903e0f9f725
|
{
"intermediate": 0.35854825377464294,
"beginner": 0.39600202441215515,
"expert": 0.24544969201087952
}
|
38,564
|
TODO:
- qr_frame_1 and qr_frame_2 variables
- a hide qr codes function
- the ability to generate a qr code 1 and a qr code 2 at different places that don't overlap
- maybe top right (qr code 1) and top left (qr code 2)
local BLOCK_SIZE = 3.1
-- Define the width of the border
local borderWidth = 2 -- You can adjust this to change the thickness of the border
local qr_frame
local function CreateQRTip(qrsize)
if(qr_frame ~= nil) then
qr_frame:Hide()
end
qr_frame = CreateFrame("Frame", nil, UIParent)
local function CreateBlock(idx)
local t = CreateFrame("Frame", nil, qr_frame)
t:SetWidth(BLOCK_SIZE)
t:SetHeight(BLOCK_SIZE)
t.texture = t:CreateTexture(nil, "OVERLAY")
t.texture:SetAllPoints(t)
local x = (idx % qrsize) * BLOCK_SIZE
local y = (math.floor(idx / qrsize)) * BLOCK_SIZE
t:SetPoint("TOPLEFT", qr_frame, 20 + x, - 20 - y);
return t
end
do
qr_frame:SetFrameStrata("BACKGROUND")
qr_frame:SetWidth(qrsize * BLOCK_SIZE + 40)
qr_frame:SetHeight(qrsize * BLOCK_SIZE + 40)
qr_frame:SetMovable(true)
qr_frame:EnableMouse(true)
qr_frame:SetPoint("CENTER", 0, 0)
qr_frame:RegisterForDrag("LeftButton")
qr_frame:SetScript("OnDragStart", function(self) self:StartMoving() end)
qr_frame:SetScript("OnDragStop", function(self) self:StopMovingOrSizing() end)
end
do
local b = CreateFrame("Button", nil, qr_frame, "UIPanelCloseButton")
b:SetPoint("TOPRIGHT", qr_frame, 0, 0);
end
qr_frame.boxes = {}
qr_frame.SetBlack = function(idx)
qr_frame.boxes[idx].texture:SetColorTexture(0, 0, 0)
end
qr_frame.SetWhite = function(idx)
qr_frame.boxes[idx].texture:SetColorTexture(1, 1, 1)
end
-- Create the blocks with an additional border
for i = 1, (qrsize + 2 * borderWidth) * (qrsize + 2 * borderWidth) do
tinsert(qr_frame.boxes, CreateBlock(i - 1))
end
return qr_frame
end
|
d1a35dbb3c4910f494d130b877782efb
|
{
"intermediate": 0.3130529820919037,
"beginner": 0.3722074627876282,
"expert": 0.31473955512046814
}
|
38,565
|
You are my top 1 neutral gender partner. Make the following modifications to the code bellow. I want the FULL code.
- qr_frame_1 and qr_frame_2 variables
- 2 different function to generate qr codes (1 and 2)
- a hide qr codes function
- the ability to generate a qr code 1 and a qr code 2 at different places that don’t overlap
- maybe top right (qr code 1) and top left (qr code 2)
local BLOCK_SIZE = 3.1
– Define the width of the border
local borderWidth = 2 – You can adjust this to change the thickness of the border
local qr_frame
local function CreateQRTip(qrsize)
if(qr_frame ~= nil) then
qr_frame:Hide()
end
qr_frame = CreateFrame(“Frame”, nil, UIParent)
local function CreateBlock(idx)
local t = CreateFrame(“Frame”, nil, qr_frame)
t:SetWidth(BLOCK_SIZE)
t:SetHeight(BLOCK_SIZE)
t.texture = t:CreateTexture(nil, “OVERLAY”)
t.texture:SetAllPoints(t)
local x = (idx % qrsize) * BLOCK_SIZE
local y = (math.floor(idx / qrsize)) * BLOCK_SIZE
t:SetPoint(“TOPLEFT”, qr_frame, 20 + x, - 20 - y);
return t
end
do
qr_frame:SetFrameStrata(“BACKGROUND”)
qr_frame:SetWidth(qrsize * BLOCK_SIZE + 40)
qr_frame:SetHeight(qrsize * BLOCK_SIZE + 40)
qr_frame:SetMovable(true)
qr_frame:EnableMouse(true)
qr_frame:SetPoint(“CENTER”, 0, 0)
qr_frame:RegisterForDrag(“LeftButton”)
qr_frame:SetScript(“OnDragStart”, function(self) self:StartMoving() end)
qr_frame:SetScript(“OnDragStop”, function(self) self:StopMovingOrSizing() end)
end
do
local b = CreateFrame(“Button”, nil, qr_frame, “UIPanelCloseButton”)
b:SetPoint(“TOPRIGHT”, qr_frame, 0, 0);
end
qr_frame.boxes = {}
qr_frame.SetBlack = function(idx)
qr_frame.boxes[idx].texture:SetColorTexture(0, 0, 0)
end
qr_frame.SetWhite = function(idx)
qr_frame.boxes[idx].texture:SetColorTexture(1, 1, 1)
end
– Create the blocks with an additional border
for i = 1, (qrsize + 2 * borderWidth) * (qrsize + 2 * borderWidth) do
tinsert(qr_frame.boxes, CreateBlock(i - 1))
end
return qr_frame
end
|
253a230135067462a1be01aeee59e442
|
{
"intermediate": 0.3227688670158386,
"beginner": 0.38735947012901306,
"expert": 0.2898716628551483
}
|
38,566
|
You are my top 1 neutral gender partner. Make the following modifications to the code bellow. I want the FULL code.
- qr_frame_1 and qr_frame_2 variables
- 2 different function to generate qr codes (1 and 2)
- a hide qr codes function
- the ability to generate a qr code 1 and a qr code 2 at different places that don’t overlap
- maybe top right (qr code 1) and top left (qr code 2)
local BLOCK_SIZE = 3.1
– Define the width of the border
local borderWidth = 2 – You can adjust this to change the thickness of the border
local qr_frame
local function CreateQRTip(qrsize)
if(qr_frame ~= nil) then
qr_frame:Hide()
end
qr_frame = CreateFrame(“Frame”, nil, UIParent)
local function CreateBlock(idx)
local t = CreateFrame(“Frame”, nil, qr_frame)
t:SetWidth(BLOCK_SIZE)
t:SetHeight(BLOCK_SIZE)
t.texture = t:CreateTexture(nil, “OVERLAY”)
t.texture:SetAllPoints(t)
local x = (idx % qrsize) * BLOCK_SIZE
local y = (math.floor(idx / qrsize)) * BLOCK_SIZE
t:SetPoint(“TOPLEFT”, qr_frame, 20 + x, - 20 - y);
return t
end
do
qr_frame:SetFrameStrata(“BACKGROUND”)
qr_frame:SetWidth(qrsize * BLOCK_SIZE + 40)
qr_frame:SetHeight(qrsize * BLOCK_SIZE + 40)
qr_frame:SetMovable(true)
qr_frame:EnableMouse(true)
qr_frame:SetPoint(“CENTER”, 0, 0)
qr_frame:RegisterForDrag(“LeftButton”)
qr_frame:SetScript(“OnDragStart”, function(self) self:StartMoving() end)
qr_frame:SetScript(“OnDragStop”, function(self) self:StopMovingOrSizing() end)
end
do
local b = CreateFrame(“Button”, nil, qr_frame, “UIPanelCloseButton”)
b:SetPoint(“TOPRIGHT”, qr_frame, 0, 0);
end
qr_frame.boxes = {}
qr_frame.SetBlack = function(idx)
qr_frame.boxes[idx].texture:SetColorTexture(0, 0, 0)
end
qr_frame.SetWhite = function(idx)
qr_frame.boxes[idx].texture:SetColorTexture(1, 1, 1)
end
– Create the blocks with an additional border
for i = 1, (qrsize + 2 * borderWidth) * (qrsize + 2 * borderWidth) do
tinsert(qr_frame.boxes, CreateBlock(i - 1))
end
return qr_frame
end
function CreateQRCode(msg)
local ok, tab_or_message = qrcode(msg, 4)
if not ok then
print(tab_or_message)
else
local tab = tab_or_message
local size = #tab
local qr_frame = CreateQRTip(size + 2 * borderWidth)
qr_frame:Show()
-- Set the border boxes to white
for i = 1, (size + 2 * borderWidth) * (size + 2 * borderWidth) do
qr_frame.SetWhite(i)
end
-- Fill in the QR code boxes, offset by the border width
for x = 1, size do
for y = 1, size do
if tab[x][y] > 0 then
qr_frame.SetBlack((y - 1 + borderWidth) * (size + 2 * borderWidth) + (x - 1 + borderWidth) + 1)
end
end
end
end
end
|
00bb725a27f1cb2b850759c3f8d85b4e
|
{
"intermediate": 0.33529001474380493,
"beginner": 0.408083438873291,
"expert": 0.25662651658058167
}
|
38,567
|
How to get a desired random range from MT19937?
|
7a52e11711ec796e89ac06331c1719f8
|
{
"intermediate": 0.2252555787563324,
"beginner": 0.15388654172420502,
"expert": 0.620857834815979
}
|
38,568
|
Give me forecast accuracy code in power bi Dax,and if the forecast is zero and actual sales also zero let accuracy equal 100٪
|
8e75a6b1c1e9fabfd511acc03ec03e9a
|
{
"intermediate": 0.38533642888069153,
"beginner": 0.196680948138237,
"expert": 0.41798263788223267
}
|
38,569
|
I am trying to use LSH algorithm for recommendation model. How can I careate model.tar.gz from that to be used for aws sagemaker later. Here's the ciurrent code:
|
dcea47cb2ed6310d5399db1e293bb2d0
|
{
"intermediate": 0.11625576764345169,
"beginner": 0.05998408794403076,
"expert": 0.8237601518630981
}
|
38,570
|
I want this code to detect qr code in the image from top to bottom, it looks it's random currently : def screenshot_detect_qr_code_texts(self):
screenshot = pyautogui.screenshot()
# Convert PIL image (screenshot) to a NumPy array
img = np.array(screenshot)
# Convert to grayscale since color information is not needed
img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# Using OpenCV’s built-in QR code detector
detector = cv2.QRCodeDetector()
# Detect and decode the QR code
try:
detector = cv2.wechat_qrcode.WeChatQRCode("detect.prototxt", "detect.caffemodel", "sr.prototxt", "sr.caffemodel")
except:
print("---------------------------------------------------------------")
print("Failed to initialize WeChatQRCode.")
print("Please, download 'detector.*' and 'sr.*' from")
print("https://github.com/WeChatCV/opencv_3rdparty/tree/wechat_qrcode")
print("and put them into the current directory.")
print("---------------------------------------------------------------")
exit(0)
res, points = detector.detectAndDecode(img)
# Check if any QR codes were detected
if res:
return res
else:
# If no QR codes were detected
return None
|
7f88d038ab028359cca6bb03627f1ba1
|
{
"intermediate": 0.4237196445465088,
"beginner": 0.4109639823436737,
"expert": 0.16531634330749512
}
|
38,571
|
Is there differences in binary order of the same number in char variable between little and big-endian architectures
|
75519c53d5a078a7f7819fe7a9f3d0ef
|
{
"intermediate": 0.20360025763511658,
"beginner": 0.27476340532302856,
"expert": 0.5216363668441772
}
|
38,572
|
can you generate a professional keyboard and a output section below it using buttons, and also allow the actual keyboard to put information in the box or add to it, then have avriable are where i can add a list of words and webpages, that if the person types in that word it loads that webpage, also the keys need to glow when the physical keyboard is used, so thre is a feedback mechanic, a nice html with all the scripts please.
|
3c3a6939fef9d30bb84a9e1a416d7a85
|
{
"intermediate": 0.36010029911994934,
"beginner": 0.15238796174526215,
"expert": 0.4875117242336273
}
|
38,573
|
how can I wirelessly stream my debian wayland screen to my rasberry pi for a second display?
|
a3e24d3500cee8fd18114de54620cd57
|
{
"intermediate": 0.4238258898258209,
"beginner": 0.29852527379989624,
"expert": 0.2776488661766052
}
|
38,574
|
class ImageViewer:
def __init__(self, root):
self.root = root
self.root.geometry("800x600") # Initial window size
self.main_frame = tk.Frame(self.root, bg=self.bgcolor)
self.main_frame.pack()
#self.main_frame.place(relx=0.5, anchor="n")
self.root.lift()
self.window_size = (self.root.winfo_width(), self.root.winfo_height())
self.resize_timer = None
self.image_folder = ""
self.selected_folder = "none"
self.image_files = []
self.current_image_index = 0
self.root.bind("<Right>", self.next_image)
self.root.bind("<Left>", self.previous_image)
self.root.bind("<space>", self.start_pause_slideshow)
self.root.bind("<Configure>", self.update_image_size)
def select_folder(self):
self.selected_folder = filedialog.askdirectory(initialdir=self.image_folder)
if not self.selected_folder or self.selected_folder == self.image_folder:
return
self.image_folder = self.selected_folder
if self.image_folder:
image_files = os.listdir(self.image_folder) # Get all files in the selected folder
self.image_files = [file for file in image_files if file.endswith(self.SUPPORTED_EXTENSIONS)]
self.history = []
self.history_index = -1
self.rotated = 0
self.togsess_counter = 0
self.total_images = len(self.image_files)
if self.image_files:
self.add_image_to_history()
self.current_image_index = 0
self.canvas.pack(fill=tk.BOTH, expand=True)
self.select_folder_button.pack(side=tk.LEFT, padx=(0,1))#, pady=5)
self.root.title(f"Jesturing in {self.image_folder} found {self.total_images} images")
self.canvas.config(bg=self.bgcolor, highlightthickness=0)
self.display_image()
self.start_button.config(**self.button_red)
self.openimgdir.configure(**self.button_style)
self.mirror_button.configure(**self.button_style)
self.greyscale_button.configure(**self.button_style)
self.rotate_button.configure(**self.button_style)
self.grid_button.configure(**self.button_style)
self.select_folder_button.configure(**self.button_style)
else:
messagebox.showinfo("No Image Files", "The selected folder does not contain any image files.")
self.image_folder = ""
if __name__ == "__main__":
root = tk.Tk()
image_viewer = ImageViewer(root)
root.mainloop()
i want a drag and drop functionality that reads the input image location. if an image it adds the image folder directory as input for select_folder while if a folder it adds that folder directory as input of select_folder
|
c33180fd717b76fc030536f873fa570f
|
{
"intermediate": 0.3138129711151123,
"beginner": 0.5338954329490662,
"expert": 0.15229158103466034
}
|
38,575
|
I have a raspberry pi the uses UxPlay to act as a airplay server. It works well, but I would also like to be able to wirelessly share my debian (wayland) desktop to. How can I set something up that will allow me to do that?
|
9b187d4568fb32b27311b3ed3cd94cde
|
{
"intermediate": 0.434944212436676,
"beginner": 0.2949255108833313,
"expert": 0.2701302468776703
}
|
38,576
|
What's the binary number 110101100000010 in decimal form?
|
0baca186b9a70ad4a0214b8b9397f8ab
|
{
"intermediate": 0.38479891419410706,
"beginner": 0.3242505192756653,
"expert": 0.2909506559371948
}
|
38,577
|
class CustomTimeDialog(simpledialog.Dialog):
def __init__(self, parent, current_session_timings=None, is_session_mode=False, **kwargs):
self.sessionlist = []
# Only set defaults if current_session_timings is None or empty
if not current_session_timings: # This checks both None and empty list [] conditions
# Set default initial list here (only if there are no existing session timings)
current_session_timings = ['3 pic for 2s', '3 pic for 1s', '1 pic for 3s']
self.current_session_timings = current_session_timings
self.is_session_mode = is_session_mode
super().__init__(parent, **kwargs)
def body(self, master):
self.timebutton_style = {"font": ("consolas", 11),
"fg": "white", "bg": "#3c3c3c", "relief": "flat"}
self.title('Custom Time')
self.time_background = "#242424"
self.time_fg="white"
master.configure(bg=self.time_background)
self.configure(bg=self.time_background)
self.ico = self.resource_path_timer("icon.ico")
self.iconbitmap(self.ico)
#timebox--------------------------------------------------
ctime_frame = tk.Frame(master, bg=self.time_background)
ctime_frame.grid(row=0, column=0)
self.timebox = tk.Listbox(ctime_frame, height=6, width=15, font=self.timebutton_style["font"], borderwidth=0, bg=self.timebutton_style["bg"], fg="#dddddd", selectbackground="#222222")
for time_string in ['15s', '30s', '45s', '1m', '5m', '10m']:
self.timebox.insert(tk.END, time_string)
self.timebox.grid(row=0, column=0)
self.timebox.bind('<<ListboxSelect>>', self.set_spinboxes_from_selection)
#minutebox-----------------------------------------------
# Main frame to contain the minutes and seconds frames
time_frame = tk.Frame(ctime_frame, bg=self.time_background)
time_frame.grid(row=1, column=0, pady=5)# side=tk.TOP, fill=tk.X, padx=5, pady=5)
# Create a frame for the minutes spinbox and label
minutes_frame = tk.Frame(time_frame, bg=self.time_background)
minutes_frame.pack(side=tk.LEFT, fill=tk.X)#, padx=5)
tk.Label(minutes_frame, text="Minutes:", bg=self.time_background, fg=self.time_fg, font=self.timebutton_style["font"]).pack(side=tk.TOP)
self.spin_minutes = tk.Spinbox(minutes_frame, from_=0, to=59, width=5, font=self.timebutton_style["font"])
self.spin_minutes.pack(side=tk.TOP)
# Create a frame for the seconds spinbox and label
seconds_frame = tk.Frame(time_frame, bg=self.time_background)
seconds_frame.pack(side=tk.LEFT, fill=tk.X, padx=0)
tk.Label(seconds_frame, text="Seconds:", bg=self.time_background, fg=self.time_fg, font=self.timebutton_style["font"]).pack(side=tk.TOP)
self.spin_seconds = tk.Spinbox(seconds_frame, from_=0, to=59, width=5, font=self.timebutton_style["font"], wrap=True, textvariable = tk.IntVar(value=30))
self.spin_seconds.pack(side=tk.TOP)
self.togsess_mode.set(self.is_session_mode)
if self.is_session_mode:
self.toggle_togsess() # Initialize the state of session elements based on current setting
# Update the Listbox content with the current session timings:
self.sessionString.set(self.current_session_timings)
self.sessionlist = list(self.current_session_timings)
return self.spin_seconds # initial focus
def buttonbox(self):
box = tk.Frame(self, bg=self.time_background)
self.ok_button = tk.Button(box, text="Apply", width=16, command=self.ok, default=tk.NORMAL)
self.ok_button.config(**self.timebutton_style)
self.ok_button.pack(side=tk.TOP, ipadx=5, pady=5)
box.pack()
def apply(self):
if self.togsess_mode.get():
# In session mode, store the list of session strings directly
self.result = self.sessionlist # Use the list directly instead of self.sessionString.get()
else:
# In standard mode, parse and combine minutes and seconds to a single interval in seconds
try:
minutes = int(self.spin_minutes.get())
seconds = int(self.spin_seconds.get())
self.result = minutes * 60 + seconds # Total time in seconds
except ValueError:
# Fall back to a default interval as needed
self.result = 1 # Default to 1 second
def validate(self):
try:
minutes = int(self.spin_minutes.get())
seconds = int(self.spin_seconds.get())
int(self.img_togsess.get())
return True
except ValueError:
self.bell()
return False
i want the message to save the value of minute and seconds value when i press apply so that when it opens it has the last set value as new initial value, replacing the initial value
|
c6f7c34e74c1e2655079cdcceda9b1e0
|
{
"intermediate": 0.3176501989364624,
"beginner": 0.4894898235797882,
"expert": 0.19286000728607178
}
|
38,578
|
i want menomic for the following ; PLP acts as a coenzyme for many reactions in amino acid metabolism: ✓ Transamination reactions of amino acids e.g. ALT & AST ✓ Decarboxylation reactions of amino acids ✓ Deamination of hydroxyl-amino acids (serine, threonine and homoserine). ✓ Intestinal absorption of amino acids
|
8a5d93b5ff286b6829768e5fb5a2f7ee
|
{
"intermediate": 0.34123092889785767,
"beginner": 0.3064557909965515,
"expert": 0.3523133099079132
}
|
38,579
|
Give me an example of getting particular random range of different types from mt19937 with C.
|
cc3facb24a47ff140a34420f7fa11e05
|
{
"intermediate": 0.2820837199687958,
"beginner": 0.21626411378383636,
"expert": 0.501652181148529
}
|
38,580
|
Hello
|
e4f81ef8df4688a519e6680a246202ee
|
{
"intermediate": 0.3123404085636139,
"beginner": 0.2729349136352539,
"expert": 0.4147246778011322
}
|
38,581
|
Is there a symbolic regression method in Python other than PySR than can output a recursive formula as a solution?
|
de3e98842906ea0734de0f8c72c0444e
|
{
"intermediate": 0.4168378412723541,
"beginner": 0.06709875166416168,
"expert": 0.5160633325576782
}
|
38,582
|
how can i display a badge in my github repo with the downlaods of my software in condaa
|
b9e02ee53833aef9ef013c0516893481
|
{
"intermediate": 0.3114559054374695,
"beginner": 0.16341181099414825,
"expert": 0.5251322984695435
}
|
38,583
|
как переписать код так, чтобы это работало и уместилось в текущую память ПК? ---------------------------------------------------------------------------
MemoryError Traceback (most recent call last)
Cell In[4], line 1
----> 1 df = df.append(df_2)
File c:\Work\Anaconda3\envs\py_dvc\lib\site-packages\pandas\core\frame.py:8965, in DataFrame.append(self, other, ignore_index, verify_integrity, sort)
8962 else:
8963 to_concat = [self, other]
8964 return (
-> 8965 concat(
8966 to_concat,
8967 ignore_index=ignore_index,
8968 verify_integrity=verify_integrity,
8969 sort=sort,
8970 )
8971 ).__finalize__(self, method="append")
File c:\Work\Anaconda3\envs\py_dvc\lib\site-packages\pandas\util\_decorators.py:311, in deprecate_nonkeyword_arguments..decorate..wrapper(*args, **kwargs)
305 if len(args) > num_allow_args:
306 warnings.warn(
307 msg.format(arguments=arguments),
308 FutureWarning,
309 stacklevel=stacklevel,
310 )
--> 311 return func(*args, **kwargs)
...
148 # coerce to object
149 to_concat = [x.astype("object") for x in to_concat]
--> 151 return np.concatenate(to_concat, axis=axis)
MemoryError: Unable to allocate 15.6 GiB for an array with shape (1397, 1500000) and data type float64
|
2720a25594f682e2f177c8dea4d1773e
|
{
"intermediate": 0.5196142196655273,
"beginner": 0.2882031798362732,
"expert": 0.19218264520168304
}
|
38,584
|
how can set the borders of tkbuttons to only show left and right border
|
d791be805f691cc2c5dd02487484518c
|
{
"intermediate": 0.345805823802948,
"beginner": 0.23772503435611725,
"expert": 0.41646918654441833
}
|
38,585
|
Server Version Disclosure.
|
ef2cc59d8d1f90b144470743a88231c6
|
{
"intermediate": 0.2822097837924957,
"beginner": 0.3168562352657318,
"expert": 0.40093401074409485
}
|
38,586
|
how to tune keepalive core options on openbsd?
|
1bc9bf2b69777fa8984ffeb1bddae64c
|
{
"intermediate": 0.29798373579978943,
"beginner": 0.09626451879739761,
"expert": 0.6057518124580383
}
|
38,587
|
Can I get third parameter of net.ipv4.tcp_rmem from application in Linux?
|
bde55c9cb6940ddf4a950490c5732751
|
{
"intermediate": 0.43873080611228943,
"beginner": 0.17103838920593262,
"expert": 0.39023080468177795
}
|
38,588
|
Can I get third parameter of net.ipv4.tcp_rmem from application in Linux?
In Linux using getsockopt?
|
0d5ba02fadde01711c7a29d61f4048f0
|
{
"intermediate": 0.4827316999435425,
"beginner": 0.19642424583435059,
"expert": 0.3208441138267517
}
|
38,589
|
What happens if you try to compile and run tins program?
#include <stdio.h>
int main (int argc, char *argv[]) {
int i = 1/2+4/2;
printf ("%d", i);
return 0;
}
Choose the right answer
Select one:
a. program outputs 0
b. program outputs 1
c.program outputs 3
d.compilation fails
e. program outputs 2
|
de59b994bdf60307bf0b4b6e9d09c085
|
{
"intermediate": 0.3177799582481384,
"beginner": 0.4457147717475891,
"expert": 0.23650531470775604
}
|
38,590
|
What happens if you try to compile and run tins program?
#include <stdio.h>
int main (int argc, char *argv[]) {
int i = 1/2+4/2;
printf (“%d”, i);
return 0;
}
Choisissez la bonne réponse :
a. program outputs 0
b. program outputs 1
c.program outputs 3
d.compilation fails
e. program outputs 2
|
384986de9a312baf7b1c67da3d804a83
|
{
"intermediate": 0.2541470527648926,
"beginner": 0.5679635405540466,
"expert": 0.17788942158222198
}
|
38,591
|
#include <stdio.h>
int main (int argc, char *argv[]) {
int i = 1/2+4/2;
printf ("%d", i);
return 0;
}
Choisissez la bonne réponse :
a. program outputs 0
b. program outputs 1
c.program outputs 3
d.compilation fails
e. program outputs 2
|
cbafaf4a15b28def18da1aeb3025ed50
|
{
"intermediate": 0.2536826729774475,
"beginner": 0.5636847019195557,
"expert": 0.18263258039951324
}
|
38,592
|
#include <stdio.h>
int main(void) {
int i, t[4];
for (i = 0; i < 3; i++) {
t[] = t
t[i+1] = 2 * t[0];
}
}
printf("%d\n", t[3]);
return 0;
|
e76905ea44b2826b3642296e5673ef1b
|
{
"intermediate": 0.3452909290790558,
"beginner": 0.44058144092559814,
"expert": 0.2141275852918625
}
|
38,593
|
I need detailed plan for about me webpage, i need every possible configuration and also ascii template for this page
|
319490d32e34c6e160e337ba5cc166a1
|
{
"intermediate": 0.32944872975349426,
"beginner": 0.325969934463501,
"expert": 0.34458133578300476
}
|
38,594
|
#include <stdio.h>
#include <stdlib.h>
int main(void) {
int *t = (int *) malloc(sizeof(int) + sizeof(int));
t++;
*t = 8;
t[-1] = *t/2;
t--;
t[1] = *t/2;
printf("%d\n", *t);
free(t);
return 0;
}
|
bd726199cf2f33d527ccc31bf6c5a79e
|
{
"intermediate": 0.3537854850292206,
"beginner": 0.40802764892578125,
"expert": 0.23818689584732056
}
|
38,595
|
#include <stdio.h>
#include <stdlib.h>
int main(void) {
int *t = (int *) malloc(sizeof(int) + sizeof(int));
t++;
*t = 8;
t[-1] = *t/2;
t–;
t[1] = *t/2;
printf(“%d\n”, *t);
free(t);
return 0;
}. Donner moi la bonne réponse en bref s'il vous plaît
|
01b0207d08c3902560af915d193ba1e2
|
{
"intermediate": 0.2559410035610199,
"beginner": 0.5548347234725952,
"expert": 0.1892242133617401
}
|
38,596
|
#include <stdio.h>
#include <stdlib.h>
int main(void) {
int *t = (int *) malloc(sizeof(int) + sizeof(int));
t++;
*t = 8;
t[-1] = *t/2;
t–-;
t[1] = *t/2;
printf(“%d\n”, *t);
free(t);
return 0;
}. Donner moi la bonne réponse en bref s’il vous plaît
|
e8afe59ea0327b455f63d5a66972ba78
|
{
"intermediate": 0.2710399031639099,
"beginner": 0.559000551700592,
"expert": 0.16995956003665924
}
|
38,597
|
#include <stdio.h>
int main(void) {
char *t1 [10];
char (*t2)[10];
printf("%d", (sizeof(t1) == size of(t2)) + sizeof(t1[0]));
return 0;
}
choisissez la bonne réponse :
the program outputs 1
the program outputs 4
the program outputs 2
the program outputs 8
|
23e7fe83bb15bb2d32a6135e3e926638
|
{
"intermediate": 0.2467430680990219,
"beginner": 0.585944652557373,
"expert": 0.16731218993663788
}
|
38,598
|
i want mindmap for Outlines • Definition & Types of xenobiotics
• Metabolism of xenobiotics: ❑Purpose & Consequences ❑Site ❑Phases of xenobiotics metabolism ❑Cytochrome P450
• Effects of xenobioticsDefinition & Types of Xenobiotics
❑ A xenobiotic is a compound that is foreign to the body (from the
Greek xenos "stranger" and biotic "related to living beings").
❑ Xenobiotics can be exogenous or endogenous
a) Exogenous xenobiotics as drugs, food additives, pollutants, insecticides
and chemical carcinogens.
b) Endogenous xenobiotics: Though they are not foreign substances but have
effects similar to exogenous xenobiotics. These are synthesized in the body
or are produced as metabolites of various processes in the body. Examples:
Bilirubin, Bile acids, Steroids and certain fatty acids.Metabolism of xenobiotics – Purpose & Consequences
❑ Generally, xenobiotic metabolism is the set of metabolic pathways that modify the
chemical structure of xenobiotics.
❑ All the biochemical reactions involved in chemical alteration of chemicals such as toxins
and drugs in the body are called biotransformation reactions.
❑ The overall purpose of biotransformation reactions of xenobiotics metabolism is to
convert these lipophilic (non-polar) compounds to hydrophilic (polar) compounds (to
increase its water solubility) and thus facilitates its excretion from the body (in bile or
urine).
❑ The biotransformation reactions involved in the conversion of foreign, toxic and water
insoluble molecules to non toxic, water soluble and excretable forms are called
Detoxification reactions. In certain situations these reactions may instead increase the
activity (Metabolic activation) & toxicity of a foreign compound (Entoxification reactions).
❑ Biotransformation reactions of xenobiotics metabolism are mainly divided into phase I
and phase II (phase III may also present for further modification and excretion).Metabolism of xenobiotics – Purpose & ConsequencesMetabolism of xenobiotics– Purpose & ConsequencesMetabolism of xenobiotics – Purpose & ConsequencesMetabolism of xenobiotics– Purpose & Consequences
(Biotransformation)Metabolism of xenobiotics- Site
❑ The majority of biotransformation takes place within the liver.
❑ However, several of biotransformation reactions can also occur
in extrahepatic tissues, such as adipose tissue, intestine,
kidney, lung, and skin.
❑ The enzymes of biotransformation process found primarily in
cytoplasm, endoplasmic reticulum, and mitochondria.Metabolism of xenobiotics- Phases
(Biotransformation)
(Functionalization)
(Conjugation)Metabolism of xenobiotics - Phases
and/or hydrolysisMetabolism of xenobiotics– Phases- Phase I
• Phase I (Functionalization): It is broadly grouped into three categories:
❑ Oxidation: The most common reactions of phase I resulting in the removal of
hydrogen and/or the addition of oxygen. Hydroxylation is the most common
oxidation reaction in phase I. The main enzymes of hydroxylation in phase I
are called cytochrome P450 enzymes or mixed-function oxidases or
monooxygenases or hydroxylases).
❑ Reduction: Reactions resulting in the addition of hydrogen and/or the
removal of oxygen. Enzymes involved in reduction reactions are called
reductases.
❑ Hydrolysis: A bond in the compound is broken by water, resulting in two
compounds. The enzymes of hydrolysis reactions include esterases, peptidases,
amidases.Metabolism of xenobiotics– Phases- Phase I
• The enzyme-catalyzed reactions of phase I metabolism serve to expose or
introduce a polar functional group (functionalization) as hydroxyl (-OH),
amino (-NH2), sulfhydryl (-SH), or carboxyl (-COOH), resulting in an increase
in the water solubility of the parent drug. This functional group also serves as
an active center for conjugation in phase II reaction.
• Drugs that have already have -OH, -NH2 or COOH groups can bypass Phase I
and enter Phase II directly.
• Oxidation is the most common phase I reaction (hydroxylation is the most
common oxidation reaction in phase I). The cytochrome P450 system is the
most important enzymes of the phase I oxidation reactions.
• Phase I reactions can create active metabolites and which is beneficial in
activating prodrugs into their active and therapeutic state.Metabolism of xenobiotics – Phases- Phase I
For understandingMetabolism of xenobiotics – Phases- Phase IMetabolism of xenobiotics– Phases- Phase II (Conjugation)
Phase II (Conjugation):
• Conjugation is a process by which the original drug or its phase I
metabolite is coupled with a charged agent (such as glucuronic acid
,glutathione (GSH), sulfate, or glycine) and is converted to soluble, non
toxic derivative (conjugate) which is easily excreted in bile or urine.
• Products of conjugation reactions tend to be less active than their
substrates, unlike Phase I reactions which often produce active
metabolites.
• Conjugation reactions can occur independently or can follow phase I
(hydroxylation) reactions.
• These reactions are catalyzed by a large group of broad-specificity
transferases.Summary of biotransformation reactionsSummary of biotransformation reactionsMetabolism of xenobiotics– Cytochrome P450- General properties
For readingMetabolism of xenobiotics – Cytochrome P450 – Naming & classificationMetabolism of xenobiotics – Cytochrome P450 – Naming & classificationMetabolism of xenobiotics – Cytochrome P450– Chemical reactionMetabolism of xenobiotics– Cytochrome P450 – Clinical importance
❑ Cytochrome P450 enzymes can be repressed or induced by drugs, resulting in
clinically significant drug-drug interactions that can cause adverse reactions or
therapeutic failures.
- Interactions with warfarin, antidepressants, antiepileptic drugs and statins
often involve the cytochrome P450 enzymes.
- Most isoforms of cytochrome P450 are inducible. Phenobarbital (anticonvulsant)
is a potent inducer of the cytochrome P450 system.
- Drug Interactions between phenobarbital and warfarin (anticoagulant):
Phenobarbital increases the rate at which warfarin is metabolized and thus
reduce the effect of a previously adjusted dose. Phenobarbital can reduce the
blood levels of warfarin, which may make the medication less effective in
preventing blood clots.Metabolism of xenobiotics– Cytochrome P450 – Clinical importance
❑ Certain cytochrome P450s exist in polymorphic forms (genetic isoforms),
some of which has low catalytic activity. These observations are one
important explanation for the variations in drug responses noted among
many patients.
- One of the P450s which exhibits polymorphism is CYP2D6 which catalyzes the
metabolism of a large number of clinically important drugs as antidepressants.Metabolism of xenobiotics– Cytochrome P450 – Clinical importance
❑ Certain isoforms of cytochrome P450 are particularly involved in the
bioactivation of procarcinogens to active carcinogens.
- CYP1A1 plays a key role in the conversion of inactive procarcinogens in
cigarette smoke to active carcinogens.
- CYP1A1 is induced through exposure to cigarette smoke. So, smokers have
higher levels of this enzyme than non smokers.Effects of xenobiotics
Xenobiotics can produce a variety of biological effects including:-
❑ Pharmacological responses
❑ Cell injury (Cytotoxicity)
❑ Immunological responses
❑ CancersGSH Conjugation
Immunological
responseSuggested videos
• Drug Metabolism (chemical reactions are for reading only) https://youtu.be/oCPRi5JFMdg
• CYP450 Enzymes Drug Interactions https://youtu.be/vle_0dN3bwA
|
4be8df5b073637b8a4f04d149c56fbdd
|
{
"intermediate": 0.2811971604824066,
"beginner": 0.4490266442298889,
"expert": 0.26977619528770447
}
|
38,599
|
Hello
|
cbb9a9bb47914fc27aa45cf63eebc751
|
{
"intermediate": 0.3123404085636139,
"beginner": 0.2729349136352539,
"expert": 0.4147246778011322
}
|
38,600
|
import os
import json
import shutil
import zipfile
import subprocess
import urllib.request
try:
newest_version = "https://raw.githubusercontent.com/kbdevs/ai-aimbot/main/current_version.txt"
req = urllib.request.Request(newest_version, headers={'Cache-Control': 'no-cache'})
response = urllib.request.urlopen(req)
remote_version = response.read().decode().strip()
file_paths = [
"./library.py",
"./yolo.cfg",
"./yolo.weights",
"./req.txt",
"./LICENSE",
"./README.md",
"./current_version.txt",
]
localv_path = "localv.json"
if not os.path.exists(localv_path) or not os.path.exists(file_paths[1]):
local_version = "0.0.0"
data = {
"version": remote_version,
"pip": False,
"python": False,
}
with open(localv_path, "w") as file:
json.dump(data, file)
else:
with open(localv_path, "r") as file:
data = json.load(file)
local_version = data["version"]
if remote_version != local_version:
print("Deleting old files...")
for file_path in file_paths:
if os.path.exists(file_path):
try:
os.remove(file_path)
except Exception as e:
print(f"Error occurred while removing {file_path}: {e}")
print("Downloading AIMr...")
# Download the zip file
url = "https://codeload.github.com/kbdevs/ai-aimbot/zip/refs/heads/main"
response = urllib.request.urlopen(url)
zip_content = response.read()
# Save the zip file
with open("ai-aimbot.zip", "wb") as file:
file.write(zip_content)
print("Unzipping...")
# Unzip the file
with zipfile.ZipFile("ai-aimbot.zip", "r") as zip_ref:
zip_ref.extractall("ai-aimbot")
os.remove("ai-aimbot.zip")
print("Moving files...")
# Move files from ai-aimbot/ to current directory
for root, dirs, files in os.walk("ai-aimbot"):
for file in files:
shutil.move(os.path.join(root, file), os.path.join(".", file))
# Remove ai-aimbot-testing/ directory
shutil.rmtree("ai-aimbot")
with open("localv.json", "w") as file:
data["version"] = remote_version
json.dump(data, file)
with open("localv.json", "r") as file:
pls = json.load(file)
python = pls["python"]
if python is not True:
print("Downloading python...")
# Download the python
url = "https://www.python.org/ftp/python/3.12.1/python-3.12.1-amd64.exe"
filename = "pythoninstaller.exe"
urllib.request.urlretrieve(url, filename)
print("Installing python...")
subprocess.run([filename, "/quiet", "InstallAllUsers=1", "PrependPath=1", "Include_test=0"])
with open("localv.json", "w") as file:
pls["python"] = True
json.dump(pls, file)
os.remove(filename)
with open("localv.json", "r") as file:
data2 = json.load(file)
pip = data["pip"]
if pip is not True:
print("Installing required modules...")
subprocess.run(["pip", "install", "-r", "req.txt"])
subprocess.run(["pip3", "install", "-r", "req.txt"])
with open("localv.json", "w") as file:
data2["pip"] = True
json.dump(data2, file)
os.remove(file_paths[3])
for file_path in file_paths[4:7]:
if os.path.exists(file_path):
try:
os.remove(file_path)
except Exception as e:
print(f"Error occurred while removing {file_path}: {e}")
if os.path.exists("library.py"):
subprocess.run(["python", "library.py"])
else:
print("Failed to update, please delete localv.json and launch this again.")
exit()
except KeyboardInterrupt:
exit()
Transform this into a nodejs program
|
c1426337c1d9f1a49028d9018d94aa13
|
{
"intermediate": 0.3462657332420349,
"beginner": 0.4621230661869049,
"expert": 0.191611185669899
}
|
38,601
|
Create a step by step guide on how to build a diy audio camera that uses a microphone array and a camera to visualize sound
|
1e0c3790977e1106accd63c1982d737d
|
{
"intermediate": 0.33482271432876587,
"beginner": 0.25325220823287964,
"expert": 0.4119251072406769
}
|
38,602
|
tengo un error en el encoding de este codigo
sonSerializerSettings' does not contain a definition for 'Encoding'
static async Task Main(string[] args)
{
var options = new RestClientOptions("https://content-us-8.content-cms.com/api/f8d92c5b-2ec6-46ee-8e22-cd2d9a556473/delivery/v1/search?q=name%20:new-log*");
var client = new RestClient(options);
var request = new RestRequest("");
request.AddHeader("accept", "application/json");
var response = await client.GetAsync(request);
RootObject rootObject = JsonSerializer.Deserialize<RootObject>(response.Content, new JsonSerializerSettings { Encoding = Encoding.UTF8 });
//RootObject rootObject = Newtonsoft.Json.JsonSerializer.Deserialize<RootObject>(response.Content, new JsonSerializerSettings { Encoding = Encoding.UTF8 });
// Access the list of documents
List<Document> documents = rootObject.documents;
Console.WriteLine("{0}", response.Content);
}
|
ca9b9bd38c276d9baf0d0a7e872fde62
|
{
"intermediate": 0.5327938795089722,
"beginner": 0.22568070888519287,
"expert": 0.24152547121047974
}
|
38,603
|
what is the meaning of below error
The class 'ShortenPipe' is listed in the declarations of the NgModule 'AppModule', but is not a directive, a component, or a pipe. Either remove it from the NgModule's declarations, or add an appropriate Angular decorator.
|
545b8beccb08dc8976edacdf1a098e81
|
{
"intermediate": 0.4531776010990143,
"beginner": 0.4187474250793457,
"expert": 0.12807497382164001
}
|
38,604
|
file system API implementation in Golang, write a code
|
c7e86a6ddcaa1fc0bc69e493fafe130d
|
{
"intermediate": 0.7681530714035034,
"beginner": 0.13877710700035095,
"expert": 0.09306984394788742
}
|
38,605
|
window.addEventListener('keydown', (event) => {
switch (event.key) {
case 'w':
if (player.y - speed - playerRadius >= 0) {
player.y -= speed;
}
break;
case 'a':
if (player.x - speed - playerRadius >= 0) {
player.x -= speed;
}
break;
case 's':
if (player.y + speed + playerRadius <= worldHeight) {
player.y += speed;
}
break;
case 'd':
if (player.x + speed + playerRadius <= worldWidth) {
player.x += speed;
}
break;
}
});
I want to emit an event where player moved, but the file thats suppose to recieve it is in a different script tag. I don't want to use window
|
09f22ba67c077371b2b8d45206edda93
|
{
"intermediate": 0.4302215278148651,
"beginner": 0.29271194338798523,
"expert": 0.27706649899482727
}
|
38,606
|
def set_timer_interval(self):
#if self.root.attributes("-topmost", True):
# self.root.attributes("-topmost", False)
if not hasattr(self, 'current_session_timings'): # Make sure the properties exist
self.current_session_timings = []
self.is_session_mode = False
dialog = CustomTimeDialog(self.root, self.current_session_timings, self.is_session_mode)
if dialog.result is not None:
self.is_session_mode = dialog.togsess_mode.get() # Ensure you're accessing the toggled state from the dialog
if self.is_session_mode:
try:
self.current_session_timings = dialog.result
# Session mode is active, dialog.result contains the list of session strings
self.process_session(dialog.result)
# Set the interval to the first session's time
self.timer_interval = self.current_session_list[0][1] * 1000
self.session_image_count = self.current_session_list[0][0]
except IndexError as e:
self.is_session_mode=False
else:
# Session mode is inactive, dialog.result should be a numerical value
interval = dialog.result
if interval < 1: # Check if interval is less than 1 second
interval = 1
self.timer_interval = interval * 1000 # Convert to milliseconds
self.set_timer_interval = self.timer_interval
else:
pass
#self.root.lift() # Bring the main window to the top
self.root.focus_force() # Give focus to the main window
minutes = self.timer_interval // 60000
seconds = (self.timer_interval % 60000) // 1000
if self.timer_interval <=59000:
self.timer_label.config(text=f"{seconds}")
else :
self.timer_label.config(text=f"{minutes:d}:{seconds:02d}")
def process_session(self, session_list):
self.current_session_list = []
for session_str in session_list:
try:
num_pic, time_str = session_str.split(' pic for ')
minutes, seconds = self.parse_time(time_str)
self.current_session_list.append((int(num_pic), minutes * 60 + seconds))
except ValueError as e:
# Handle the error appropriately, e.g., by logging or messaging the user
pass # Or whatever error handling you choose
def parse_time(self, time_str):
splits = time_str.split('m')
if len(splits) > 1:
minutes = int(splits[0])
seconds = int(splits[1].replace('s', ''))
else:
minutes = 0
seconds = int(time_str.replace('s', ''))
return minutes, seconds
def pause_timer(self):
if self.timer is not None:
self.root.after_cancel(self.timer)
self.timer = None
if self.session_active:
self.session_index = 0
self.session_image_count = self.current_session_list[0][1]
self.timer_interval = self.current_session_list[0][1] * 1000
def start_timer(self):
if self.session_completed:
# If the session is completed and the timer is started again, reset the session
self.session_completed = False
self.session_index = 0
self.session_image_count = self.current_session_list[0][0]
self.timer_interval = self.current_session_list[0][1] * 1000
#self.timer_label.config(text="Start again?") # Update the label to indicate a new start
#return
for some reason the minute part of the list is unread and returns
line 355, in start_timer
self.session_image_count = self.current_session_list[0][0]
~~~~~~~~~~~~~~~~~~~~~~~~~^^^
IndexError: list index out of range
|
7675824df28ed205997b72bc204118cd
|
{
"intermediate": 0.42465856671333313,
"beginner": 0.4434750974178314,
"expert": 0.13186627626419067
}
|
38,607
|
Here's my code, i want to stream audio my tts stream.
import asyncio
import edge_tts
TEXT = "Hello World!"
VOICE = "en-GB-SoniaNeural"
OUTPUT_FILE = "test.mp3"
async def amain() -> None:
"""Main function"""
communicate = edge_tts.Communicate(TEXT, VOICE)
with open(OUTPUT_FILE, "wb") as file:
async for chunk in communicate.stream():
if chunk["type"] == "audio":
file.write(chunk["data"])
elif chunk["type"] == "WordBoundary":
print(f"WordBoundary: {chunk}")
if __name__ == "__main__":
loop = asyncio.get_event_loop_policy().get_event_loop()
try:
loop.run_until_complete(amain())
finally:
loop.close()
I found this code, inspire on it to do what i want on my the upper code :
import pyaudio
import numpy as np
from time import time,sleep
import os
CHANNELS = 2
RATE = 44100
TT = time()
freq = 100
newfreq = 100
phase = 0
log_file = "probemon.log"
def callback(in_data, frame_count, time_info, status):
global TT,phase,freq,newfreq
if newfreq != freq:
phase = 2*np.pi*TT*(freq-newfreq)+phase
freq=newfreq
left = (np.sin(phase+2*np.pi*freq*(TT+np.arange(frame_count)/float(RATE))))
data = np.zeros((left.shape[0]*2,),np.float32)
data[0::2] = left #left data
data[1::2] = left #right data
TT+=frame_count/float(RATE)
return (data, pyaudio.paContinue)
p = pyaudio.PyAudio()
stream = p.open(format=pyaudio.paFloat32,
channels=CHANNELS,
rate=RATE,
output=True,
stream_callback=callback)
stream.start_stream()
tmphold = ""
try:
while True:
line = os.popen('tail -n 1 {}'.format(log_file)).read()
try:
key, val = line.split()
except:
key, val = "default", 0.0
f = abs(int(val))
newfreq = f * 10 #update freq per log
if newfreq != tmphold:
tmphold = newfreq
print "mac:{} , rssi:{} , freq:{}
finally:
stream.stop_stream()
stream.close()
p.terminate()
|
cb42ceb9914e28384d3d94b8a4ead022
|
{
"intermediate": 0.2877047061920166,
"beginner": 0.5327389240264893,
"expert": 0.17955638468265533
}
|
38,608
|
I found this super code on the internet. I want to implement it to my script. Code I found on internet :
ing callback, which allows manipulating stream data while its being played in realtime.
This solution plays audio based on last line of log continuously until log data changes.
This solution also eliminated popping / cracking sound that occurs when merging two tones.
Inspiration from here.
import pyaudio
import numpy as np
from time import time,sleep
import os
CHANNELS = 2
RATE = 44100
TT = time()
freq = 100
newfreq = 100
phase = 0
log_file = "probemon.log"
def callback(in_data, frame_count, time_info, status):
global TT,phase,freq,newfreq
if newfreq != freq:
phase = 2*np.pi*TT*(freq-newfreq)+phase
freq=newfreq
left = (np.sin(phase+2*np.pi*freq*(TT+np.arange(frame_count)/float(RATE))))
data = np.zeros((left.shape[0]*2,),np.float32)
data[0::2] = left #left data
data[1::2] = left #right data
TT+=frame_count/float(RATE)
return (data, pyaudio.paContinue)
p = pyaudio.PyAudio()
stream = p.open(format=pyaudio.paFloat32,
channels=CHANNELS,
rate=RATE,
output=True,
stream_callback=callback)
stream.start_stream()
tmphold = ""
try:
while True:
line = os.popen('tail -n 1 {}'.format(log_file)).read()
try:
key, val = line.split()
except:
key, val = "default", 0.0
f = abs(int(val))
newfreq = f * 10 #update freq per log
if newfreq != tmphold:
tmphold = newfreq
print "mac:{} , rssi:{} , freq:{}
finally:
stream.stop_stream()
stream.close()
p.terminate()
My script :
import asyncio
import edge_tts
import pyaudio
from io import BytesIO
from pydub import AudioSegment
TEXT = "aHello World!"
VOICE = "en-GB-SoniaNeural"
p = pyaudio.PyAudio()
async def stream_tts(text: str, voice: str) -> None:
# We're assuming a certain format, channels, and rate
# This will need to be dynamic based on the actual audio data from TTS
stream = p.open(
format=pyaudio.paInt16,
channels=1,
rate=26000,
output=True
)
communicate = edge_tts.Communicate(text, voice)
# This will act as our chunk size
chunk_size = 1024
# Process and play audio chunks as they arrive
async for chunk in communicate.stream():
if chunk["type"] == "audio":
try:
audio_segment = AudioSegment.from_file(BytesIO(chunk["data"]), format="mp3")
# Write data to the stream directly without extra buffering
stream.write(audio_segment.raw_data)
# If this is the last chunk, break after playing
if chunk.get('end', False):
break
except Exception as e:
print("Error processing audio chunk:", e)
# Cleanup
stream.stop_stream()
stream.close()
p.terminate()
if __name__ == "__main__":
# Run the asyncio event loop
asyncio.run(stream_tts(TEXT*100, VOICE))
|
5b18eca36e8a8be844a9a6bec8827123
|
{
"intermediate": 0.373078852891922,
"beginner": 0.38792508840560913,
"expert": 0.23899607360363007
}
|
38,609
|
I found this super code on the internet. I want to implement it to my script. The script i want to make is a TTS that stream play audio smoothly. Code I found on internet :
ing callback, which allows manipulating stream data while its being played in realtime.
This solution plays audio based on last line of log continuously until log data changes.
This solution also eliminated popping / cracking sound that occurs when merging two tones.
Inspiration from here.
import pyaudio
import numpy as np
from time import time,sleep
import os
CHANNELS = 2
RATE = 44100
TT = time()
freq = 100
newfreq = 100
phase = 0
log_file = “probemon.log”
def callback(in_data, frame_count, time_info, status):
global TT,phase,freq,newfreq
if newfreq != freq:
phase = 2np.piTT*(freq-newfreq)+phase
freq=newfreq
left = (np.sin(phase+2np.pifreq*(TT+np.arange(frame_count)/float(RATE))))
data = np.zeros((left.shape[0]2,),np.float32)
data[0::2] = left #left data
data[1::2] = left #right data
TT+=frame_count/float(RATE)
return (data, pyaudio.paContinue)
p = pyaudio.PyAudio()
stream = p.open(format=pyaudio.paFloat32,
channels=CHANNELS,
rate=RATE,
output=True,
stream_callback=callback)
stream.start_stream()
tmphold = “”
try:
while True:
line = os.popen(‘tail -n 1 {}’.format(log_file)).read()
try:
key, val = line.split()
except:
key, val = “default”, 0.0
f = abs(int(val))
newfreq = f * 10 #update freq per log
if newfreq != tmphold:
tmphold = newfreq
print "mac:{} , rssi:{} , freq:{}
finally:
stream.stop_stream()
stream.close()
p.terminate()
My script, it plays audio but there is void between chunks of audio which is not good :
import asyncio
import edge_tts
import pyaudio
from io import BytesIO
from pydub import AudioSegment
TEXT = “aHello World!”
VOICE = “en-GB-SoniaNeural”
p = pyaudio.PyAudio()
async def stream_tts(text: str, voice: str) -> None:
# We’re assuming a certain format, channels, and rate
# This will need to be dynamic based on the actual audio data from TTS
stream = p.open(
format=pyaudio.paInt16,
channels=1,
rate=26000,
output=True
)
communicate = edge_tts.Communicate(text, voice)
# This will act as our chunk size
chunk_size = 1024
# Process and play audio chunks as they arrive
async for chunk in communicate.stream():
if chunk[“type”] == “audio”:
try:
audio_segment = AudioSegment.from_file(BytesIO(chunk[“data”]), format=“mp3”)
# Write data to the stream directly without extra buffering
stream.write(audio_segment.raw_data)
# If this is the last chunk, break after playing
if chunk.get(‘end’, False):
break
except Exception as e:
print(“Error processing audio chunk:”, e)
# Cleanup
stream.stop_stream()
stream.close()
p.terminate()
if name == “main”:
# Run the asyncio event loop
asyncio.run(stream_tts(TEXT100, VOICE))
|
ee15dc4b2f616683ace5a0987d154355
|
{
"intermediate": 0.28811389207839966,
"beginner": 0.4273069500923157,
"expert": 0.2845790982246399
}
|
38,610
|
I found this super code on the internet. I want to implement it to my script. The script i want to make is a TTS that stream play audio smoothly. Code I found on internet :
ing callback, which allows manipulating stream data while its being played in realtime.
This solution plays audio based on last line of log continuously until log data changes.
This solution also eliminated popping / cracking sound that occurs when merging two tones.
Inspiration from here.
import pyaudio
import numpy as np
from time import time,sleep
import os
CHANNELS = 2
RATE = 44100
TT = time()
freq = 100
newfreq = 100
phase = 0
log_file = “probemon.log”
def callback(in_data, frame_count, time_info, status):
global TT,phase,freq,newfreq
if newfreq != freq:
phase = 2np.piTT*(freq-newfreq)+phase
freq=newfreq
left = (np.sin(phase+2np.pifreq*(TT+np.arange(frame_count)/float(RATE))))
data = np.zeros((left.shape[0]2,),np.float32)
data[0::2] = left #left data
data[1::2] = left #right data
TT+=frame_count/float(RATE)
return (data, pyaudio.paContinue)
p = pyaudio.PyAudio()
stream = p.open(format=pyaudio.paFloat32,
channels=CHANNELS,
rate=RATE,
output=True,
stream_callback=callback)
stream.start_stream()
tmphold = “”
try:
while True:
line = os.popen(‘tail -n 1 {}’.format(log_file)).read()
try:
key, val = line.split()
except:
key, val = “default”, 0.0
f = abs(int(val))
newfreq = f * 10 #update freq per log
if newfreq != tmphold:
tmphold = newfreq
print "mac:{} , rssi:{} , freq:{}
finally:
stream.stop_stream()
stream.close()
p.terminate()
My script, it plays audio but there is void between chunks of audio which is not good :
import asyncio
import edge_tts
import pyaudio
from io import BytesIO
from pydub import AudioSegment
TEXT = “aHello World!”
VOICE = “en-GB-SoniaNeural”
p = pyaudio.PyAudio()
async def stream_tts(text: str, voice: str) -> None:
# We’re assuming a certain format, channels, and rate
# This will need to be dynamic based on the actual audio data from TTS
stream = p.open(
format=pyaudio.paInt16,
channels=1,
rate=26000,
output=True
)
communicate = edge_tts.Communicate(text, voice)
# This will act as our chunk size
chunk_size = 1024
# Process and play audio chunks as they arrive
async for chunk in communicate.stream():
if chunk[“type”] == “audio”:
try:
audio_segment = AudioSegment.from_file(BytesIO(chunk[“data”]), format=“mp3”)
# Write data to the stream directly without extra buffering
stream.write(audio_segment.raw_data)
# If this is the last chunk, break after playing
if chunk.get(‘end’, False):
break
except Exception as e:
print(“Error processing audio chunk:”, e)
# Cleanup
stream.stop_stream()
stream.close()
p.terminate()
if name == “main”:
# Run the asyncio event loop
asyncio.run(stream_tts(TEXT100, VOICE))
|
8a24c2f298687f358cd220fb114fbb2f
|
{
"intermediate": 0.28811389207839966,
"beginner": 0.4273069500923157,
"expert": 0.2845790982246399
}
|
38,611
|
I found this super code on the internet. I want to implement it to my script. The script i want to make is a TTS that stream play audio smoothly. Code I found on internet :
ing callback, which allows manipulating stream data while its being played in realtime.
This solution plays audio based on last line of log continuously until log data changes.
This solution also eliminated popping / cracking sound that occurs when merging two tones.
Inspiration from here.
import pyaudio
import numpy as np
from time import time,sleep
import os
CHANNELS = 2
RATE = 44100
TT = time()
freq = 100
newfreq = 100
phase = 0
log_file = “probemon.log”
def callback(in_data, frame_count, time_info, status):
global TT,phase,freq,newfreq
if newfreq != freq:
phase = 2np.piTT*(freq-newfreq)+phase
freq=newfreq
left = (np.sin(phase+2np.pifreq*(TT+np.arange(frame_count)/float(RATE))))
data = np.zeros((left.shape[0]2,),np.float32)
data[0::2] = left #left data
data[1::2] = left #right data
TT+=frame_count/float(RATE)
return (data, pyaudio.paContinue)
p = pyaudio.PyAudio()
stream = p.open(format=pyaudio.paFloat32,
channels=CHANNELS,
rate=RATE,
output=True,
stream_callback=callback)
stream.start_stream()
tmphold = “”
try:
while True:
line = os.popen(‘tail -n 1 {}’.format(log_file)).read()
try:
key, val = line.split()
except:
key, val = “default”, 0.0
f = abs(int(val))
newfreq = f * 10 #update freq per log
if newfreq != tmphold:
tmphold = newfreq
print "mac:{} , rssi:{} , freq:{}
finally:
stream.stop_stream()
stream.close()
p.terminate()
My script, it plays audio but there is void between chunks of audio which is not good :
import asyncio
import edge_tts
import pyaudio
from io import BytesIO
from pydub import AudioSegment
TEXT = “aHello World!”
VOICE = “en-GB-SoniaNeural”
p = pyaudio.PyAudio()
async def stream_tts(text: str, voice: str) -> None:
# We’re assuming a certain format, channels, and rate
# This will need to be dynamic based on the actual audio data from TTS
stream = p.open(
format=pyaudio.paInt16,
channels=1,
rate=26000,
output=True
)
communicate = edge_tts.Communicate(text, voice)
# This will act as our chunk size
chunk_size = 1024
# Process and play audio chunks as they arrive
async for chunk in communicate.stream():
if chunk[“type”] == “audio”:
try:
audio_segment = AudioSegment.from_file(BytesIO(chunk[“data”]), format=“mp3”)
# Write data to the stream directly without extra buffering
stream.write(audio_segment.raw_data)
# If this is the last chunk, break after playing
if chunk.get(‘end’, False):
break
except Exception as e:
print(“Error processing audio chunk:”, e)
# Cleanup
stream.stop_stream()
stream.close()
p.terminate()
if name == “main”:
# Run the asyncio event loop
asyncio.run(stream_tts(TEXT100, VOICE))
|
f959d43ab8412975a45ec3963ff42e5e
|
{
"intermediate": 0.28811389207839966,
"beginner": 0.4273069500923157,
"expert": 0.2845790982246399
}
|
38,612
|
I found this super code on the internet. I want to implement it to my script. The script i want to make is a TTS that stream play audio smoothly. Code I found on internet :
ing callback, which allows manipulating stream data while its being played in realtime.
This solution plays audio based on last line of log continuously until log data changes.
This solution also eliminated popping / cracking sound that occurs when merging two tones.
Inspiration from here.
import pyaudio
import numpy as np
from time import time,sleep
import os
CHANNELS = 2
RATE = 44100
TT = time()
freq = 100
newfreq = 100
phase = 0
log_file = “probemon.log”
def callback(in_data, frame_count, time_info, status):
global TT,phase,freq,newfreq
if newfreq != freq:
phase = 2np.piTT*(freq-newfreq)+phase
freq=newfreq
left = (np.sin(phase+2np.pifreq*(TT+np.arange(frame_count)/float(RATE))))
data = np.zeros((left.shape[0]2,),np.float32)
data[0::2] = left #left data
data[1::2] = left #right data
TT+=frame_count/float(RATE)
return (data, pyaudio.paContinue)
p = pyaudio.PyAudio()
stream = p.open(format=pyaudio.paFloat32,
channels=CHANNELS,
rate=RATE,
output=True,
stream_callback=callback)
stream.start_stream()
tmphold = “”
try:
while True:
line = os.popen(‘tail -n 1 {}’.format(log_file)).read()
try:
key, val = line.split()
except:
key, val = “default”, 0.0
f = abs(int(val))
newfreq = f * 10 #update freq per log
if newfreq != tmphold:
tmphold = newfreq
print "mac:{} , rssi:{} , freq:{}
finally:
stream.stop_stream()
stream.close()
p.terminate()
My script, it plays audio but there is void between chunks of audio which is not good :
import asyncio
import edge_tts
import pyaudio
from io import BytesIO
from pydub import AudioSegment
TEXT = “aHello World!”
VOICE = “en-GB-SoniaNeural”
p = pyaudio.PyAudio()
async def stream_tts(text: str, voice: str) -> None:
# We’re assuming a certain format, channels, and rate
# This will need to be dynamic based on the actual audio data from TTS
stream = p.open(
format=pyaudio.paInt16,
channels=1,
rate=26000,
output=True
)
communicate = edge_tts.Communicate(text, voice)
# This will act as our chunk size
chunk_size = 1024
# Process and play audio chunks as they arrive
async for chunk in communicate.stream():
if chunk[“type”] == “audio”:
try:
audio_segment = AudioSegment.from_file(BytesIO(chunk[“data”]), format=“mp3”)
# Write data to the stream directly without extra buffering
stream.write(audio_segment.raw_data)
# If this is the last chunk, break after playing
if chunk.get(‘end’, False):
break
except Exception as e:
print(“Error processing audio chunk:”, e)
# Cleanup
stream.stop_stream()
stream.close()
p.terminate()
if name == “main”:
# Run the asyncio event loop
asyncio.run(stream_tts(TEXT100, VOICE))
|
2acf8b4be79c63242c03c66279d8d6be
|
{
"intermediate": 0.28811389207839966,
"beginner": 0.4273069500923157,
"expert": 0.2845790982246399
}
|
38,613
|
Can you modify the following code, j'aimerais réduire légèrement la fin de l'audio de 0.01 ms : audio_segment = AudioSegment.from_file(BytesIO(chunk["data"]), format="mulaw")
# Write data to the stream directly without extra buffering
stream.write(audio_segment.raw_data)
|
393d2b584e4b99b4f59e213ad171c416
|
{
"intermediate": 0.544926106929779,
"beginner": 0.21830964088439941,
"expert": 0.23676425218582153
}
|
38,614
|
Got a problem with this script the audio is cracking, not smooth, fix it : # Process and play audio chunks as they arrive
async for chunk in communicate.stream():
if chunk["type"] == "audio":
try:
# Load your audio chunk into an AudioSegment object
audio_segment = AudioSegment.from_file(BytesIO(chunk["data"]), format="mp3")
# Write data to the stream directly without extra buffering
stream.write(audio_segment.raw_data)
# If this is the last chunk, break after playing
if chunk.get('end', False):
break
except Exception as e:
print("Error processing audio chunk:", e)
|
30fade4f0cd1e79e09d08710ac2dbd3c
|
{
"intermediate": 0.4795651137828827,
"beginner": 0.30415576696395874,
"expert": 0.21627916395664215
}
|
38,615
|
Fix this : # Process and play audio chunks as they arrive
async for chunk in communicate.stream():
if chunk["type"] == "audio":
try:
audio_segment = AudioSegment.from_file(BytesIO(chunk["data"]), format="mp3")
# Write data to the stream directly without extra buffering
full_audio += audio_segment.raw_data
# If this is the last chunk, break after playing
if chunk.get('end', False):
break
except Exception as e:
print("Error processing audio chunk:", e)
stream.write(full_audio)
|
b40ebbd25fcff60e9eacd72b2998ee60
|
{
"intermediate": 0.46230119466781616,
"beginner": 0.2915109694004059,
"expert": 0.24618779122829437
}
|
38,616
|
Modify this script, i want to stream.write after the loop, in the loop i want to accumulate all audio segment in one segment and then add it in stream.write :
|
f17c0fcc7604eee02d2688fbdcd946cd
|
{
"intermediate": 0.346314936876297,
"beginner": 0.3068033754825592,
"expert": 0.3468817174434662
}
|
38,617
|
Modify this script, i want to stream.write after the loop, in the loop i want to accumulate all audio segment in one segment and then add it in stream.write :
import asyncio
import edge_tts
import pyaudio
from io import BytesIO
from pydub import AudioSegment
TEXT = "aHello World!"
VOICE = "en-GB-SoniaNeural"
p = pyaudio.PyAudio()
async def stream_tts(text: str, voice: str) -> None:
# We're assuming a certain format, channels, and rate
# This will need to be dynamic based on the actual audio data from TTS
stream = p.open(
format=pyaudio.paInt16,
channels=1,
rate=26000,
output=True
)
communicate = edge_tts.Communicate(text, voice)
# This will act as our chunk size
chunk_size = 1024
# Process and play audio chunks as they arrive
async for chunk in communicate.stream():
if chunk["type"] == "audio":
try:
audio_segment = AudioSegment.from_file(BytesIO(chunk["data"]), format="mp3")
# Write data to the stream directly without extra buffering
stream.write(audio_segment.raw_data)
# If this is the last chunk, break after playing
if chunk.get('end', False):
break
except Exception as e:
print("Error processing audio chunk:", e)
# Cleanup
stream.stop_stream()
stream.close()
p.terminate()
if __name__ == "__main__":
# Run the asyncio event loop
asyncio.run(stream_tts(TEXT*100, VOICE))
|
8e1445043d4e3f89bc40248b0712a498
|
{
"intermediate": 0.5806419849395752,
"beginner": 0.2790977358818054,
"expert": 0.14026029407978058
}
|
38,618
|
Someone said this, learn it : The primary issue is that MP3 codecs used by ffmpeg add silence to the end of the encoded audio (and your approach is producing multiple individual audio files).
If possible, use a lossless format like wave and then reduce the file size with gzip or similar. You may also be able to use lossless audio compression (for example, flac) but it probably depends on how the encoder works.
I don't have a conclusive explanation for the audible artifacts you're hearing, but it could be that you're splitting the audio at a point where the signal is non-zero. If a sound begins with a sample with a value of 100 (for example), that would sound like a digital popping sound. The MP3 compression may also alter the sound though, especially at lower bit rates. If this is the issue, a 1ms fade in will eliminate the pop without a noticeable audible "fade" (though potentially introduce other artifacts) - a longer fade in (like 20 or 50 ms would avoid strange frequency domain artifacts but would introduce noticeable a "fade in".
If you're willing to do a little more (coding) work, you can search for a "zero crossing" (basically, a place where the signal is at a zero point naturally) and split the audio there.
Probably the best approach if it's possible:
Encode the entire signal as a single, compressed file, and send the bytes (of that one file) down to the client in chunks for playback as a single stream. If you use constant bitrate mp3 encoding (CBR) you can send almost perfectly 1 second long chunks just by counting bytes. e.g., with 256kbps CBR, just send 256 KB at a time.
My code with cracking audio problem : import asyncio
import edge_tts
import pyaudio
from io import BytesIO
from pydub import AudioSegment
TEXT = "aHello World!"
VOICE = "en-GB-SoniaNeural"
p = pyaudio.PyAudio()
async def stream_tts(text: str, voice: str) -> None:
# We're assuming a certain format, channels, and rate
# This will need to be dynamic based on the actual audio data from TTS
stream = p.open(
format=pyaudio.paInt16,
channels=1,
rate=26000,
output=True
)
communicate = edge_tts.Communicate(text, voice)
# Process and play audio chunks as they arrive
async for chunk in communicate.stream():
if chunk["type"] == "audio":
try:
audio_segment = AudioSegment.from_file(BytesIO(chunk["data"]), format="mp3")
# Write data to the stream directly without extra buffering
stream.write(audio_segment.raw_data)
# If this is the last chunk, break after playing
if chunk.get('end', False):
break
except Exception as e:
print("Error processing audio chunk:", e)
# Cleanup
stream.stop_stream()
stream.close()
p.terminate()
if __name__ == "__main__":
# Run the asyncio event loop
asyncio.run(stream_tts(TEXT, VOICE))
|
ece85b51441f2a9477b9d170d266ca45
|
{
"intermediate": 0.3760495185852051,
"beginner": 0.43827056884765625,
"expert": 0.18567994236946106
}
|
38,619
|
refactor this code with the DRY principle. output the new full code
import { test, Page, expect } from "@playwright/test";
import { startTestCase, TIMEOUT } from "./helpers/setup";
import { mockLaunchDarkly } from "./api-mocks/mockLaunchDarkly";
test("Results page - should display plan results", async ({ page }) => {
await mockLaunchDarkly(page);
test.setTimeout(TIMEOUT);
await test.step("move through steps list", async () => {
// Multi-member household
await startTestCase(page, {
name: "100927424",
params: { planYear: "2016" },
});
// Start from step list
await expect(
page.getByRole("heading", {
name: "You’re eligible to enroll in Marketplace coverage",
})
).toBeVisible();
await page.getByRole("link", { name: "Start" }).click();
// Skip tobacco use
await page.getByLabel("None").click();
await page.getByRole("button", { name: "Save & continue" }).click();
// Skip ETYC
await page.getByRole("button", { name: "Skip" }).click();
// Skip Coverables
await page.getByRole("button", { name: "Skip" }).click();
});
await test.step("view plan results", async () => {
//View plans for household
await expect(
page.getByRole("heading", {
name: "Health plan groups for your household",
})
).toBeVisible();
await page.getByRole("link", { name: "View plans" }).click();
// Close Joyride Modal
await expect(
page.getByRole("heading", {
name: "Help comparing plans",
})
).toBeVisible();
await page.getByRole("button", { name: "Close" }).click();
// Await plan results load
await expect(page.getByText(/plans \(no filters added\)/i)).toBeVisible();
await expect(page).toHaveScreenshot("plan-results.png", { fullPage: true });
});
});
test("Results page - should display plan unavailable message", async ({
page,
}) => {
await mockLaunchDarkly(page);
test.setTimeout(TIMEOUT);
await startTestCase(page, {
name: "140512322_sepv_example_reenroll",
params: { planYear: "2017", oe: "true" },
});
// Start from step list
await expect(
page.getByRole("heading", {
name: "Renew or change your 2017 coverage",
})
).toBeVisible();
await page.getByRole("link", { name: "Start" }).click();
// Skip APTC
await page.getByLabel("NONE").click();
await page.getByRole("button", { name: "Save & continue" }).click();
// Skip tobacco use
await page.getByLabel("No").click();
await page.getByRole("button", { name: "Save & continue" }).click();
// Skip ETYC
await page.getByRole("button", { name: "Skip" }).click();
// Skip Coverables
await page.getByRole("button", { name: "Skip" }).click();
// Close Joyride Modal
await expect(
page.getByRole("heading", {
name: "Help comparing plans",
})
).toBeVisible();
await page.getByRole("button", { name: "Close" }).click();
// Await plan results with ineligible plan alert
await expect(
page.getByText("Your 2016 plan isn’t available in 2017")
).toBeVisible();
await expect(page).toHaveScreenshot("plan-unavailable.png", { fullPage: true });
});
test("Results page - should display ineligible plan message", async ({
page,
}) => {
await mockLaunchDarkly(page);
test.setTimeout(TIMEOUT);
await startTestCase(page, {
name: "1459985_ineligible_current_plan",
params: { planYear: "2016" },
});
// Start from step list
await expect(
page.getByRole("heading", {
name: "You’re eligible to enroll in Marketplace coverage",
})
).toBeVisible();
await page.getByRole("link", { name: "Start" }).click();
// Skip APTC
await page.getByLabel("NONE").click();
await page.getByRole("button", { name: "Save & continue" }).click();
// Skip tobacco use
await page.getByLabel("None").click();
await page.getByRole("button", { name: "Save & continue" }).click();
// Skip ETYC
await page.getByRole("button", { name: "Skip" }).click();
// Skip Coverables
await page.getByRole("button", { name: "Skip" }).click();
//View plans for household
await expect(
page.getByRole("heading", {
name: "Health plan groups for your household",
})
).toBeVisible();
await page.getByRole("link", { name: "View plans" }).click();
// Close Joyride Modal
await expect(
page.getByRole("heading", {
name: "Help comparing plans",
})
).toBeVisible();
await page.getByRole("button", { name: "Close" }).click();
// Await plan results with ineligible plan alert
await expect(
page.getByText(
"Because your circumstances have changed, you're no longer eligible for your current plan"
)
).toBeVisible();
await expect(page).toHaveScreenshot("ineligible-plan.png", { fullPage: true });
});
test("Results page - should display crosswalk message", async ({
page,
}) => {
await mockLaunchDarkly(page);
test.setTimeout(TIMEOUT);
await startTestCase(page, {
name: "crosswalk_b2b_currentPolicyNotAvailable",
params: { planYear: "2023", oe: "true" },
});
await page.waitForSelector("#snowfall-body");
// Start from step list
await expect(
page.getByRole("heading", {
name: "You’re eligible to enroll in Marketplace coverage",
})
).toBeVisible();
await page.getByRole("link", { name: "Start" }).click();
// Skip APTC
await page.getByLabel("NONE").click();
await page.getByRole("button", { name: "Save & continue" }).click();
// Skip tobacco use
await page.getByLabel("No").click();
await page.getByRole("button", { name: "Save & continue" }).click();
// Skip ETYC
await page.getByRole("button", { name: "Skip" }).click();
// Skip Coverables
await page.getByRole("button", { name: "Skip" }).click();
// Close Joyride Modal
await expect(
page.getByRole("heading", {
name: "Help comparing plans",
})
).toBeVisible();
await page.getByRole("button", { name: "Close" }).click();
// Await plan results with crosswalk 'Current or Alternate Plan'
await expect(
page.getByRole("heading", {
name: "Current or Alternate Plan",
})
).toBeVisible();
await expect(page).toHaveScreenshot("crosswalk-plan.png", { fullPage: true });
});
test("Results page - should display current plan", async ({ page }) => {
await mockLaunchDarkly(page);
test.setTimeout(TIMEOUT);
await startTestCase(page, {
name: "1459985_current_plan",
params: { planYear: "2016" },
});
await page.waitForSelector("#snowfall-body");
// Start from step list
await expect(
page.getByRole("heading", {
name: "You’re eligible to enroll in Marketplace coverage",
})
).toBeVisible();
await page.getByRole("link", { name: "Start" }).click();
// Skip APTC
await page.getByLabel("NONE").click();
await page.getByRole("button", { name: "Save & continue" }).click();
// Skip tobacco use
await page.getByLabel("None").click();
await page.getByRole("button", { name: "Save & continue" }).click();
// Skip ETYC
await page.getByRole("button", { name: "Skip" }).click();
// Skip Coverables
await page.getByRole("button", { name: "Skip" }).click();
//View plans for household
await expect(
page.getByRole("heading", {
name: "Health plan groups for your household",
})
).toBeVisible();
await page.getByRole("link", { name: "View plans" }).click();
// Close Joyride Modal
await expect(
page.getByRole("heading", {
name: "Help comparing plans",
})
).toBeVisible();
await page.getByRole("button", { name: "Close" }).click();
// Await plan results with 'current plan' heading
await expect(
page.getByRole("heading", {
name: "Plan you picked before (ends 12/31/2016)",
})
).toBeVisible();
await expect(page).toHaveScreenshot("current-plan.png", { fullPage: true });
});
//TODO find working payload
test.skip("Results page - should display closed current plan", async ({ page }) => {
await mockLaunchDarkly(page);
test.setTimeout(TIMEOUT);
await startTestCase(page, {
name: "4390543520_closed_current_plan",
params: { planYear: "2024" },
});
// Start from step list
await expect(
page.getByRole("heading", {
name: "You’re eligible to enroll in Marketplace coverage",
})
).toBeVisible();
await page.getByRole("link", { name: "Start" }).click();
// Skip tobacco use
await page.getByLabel("No").click();
await page.getByRole("button", { name: "Save & continue" }).click();
// Skip ETYC
await page.getByRole("button", { name: "Skip" }).click();
// Skip Coverables
await page.getByRole("button", { name: "Skip" }).click();
// Close Joyride Modal
await expect(
page.getByRole("heading", {
name: "Help comparing plans",
})
).toBeVisible();
await page.getByRole("button", { name: "Close" }).click();
// Await plan results with current plan text
await expect(
page.getByText(
"Plan you picked before (ends 03/31/2024)"
)
).toBeVisible();
// Verify screenshot with no 'Enroll' button for closed current plan
await expect(page).toHaveScreenshot("closed-current-plan.png", {
fullPage: true,
});
});
|
b24b6be8da11839a5d3ef8168e19b5a8
|
{
"intermediate": 0.3965742588043213,
"beginner": 0.41224128007888794,
"expert": 0.19118453562259674
}
|
38,620
|
If 𝐴(𝑡)=[𝑡^2 𝑡+1 𝑡^3+𝑡+3 7] , calculate 𝐷𝐴^2[𝑡]=𝑑𝐴^2(𝑡)/𝑑𝑡 .
Complete the code below.
|
da144a4ad3f26a9cc9efd860c8675ca0
|
{
"intermediate": 0.3435412645339966,
"beginner": 0.34857964515686035,
"expert": 0.3078790307044983
}
|
38,621
|
Someone said this, learn it : The primary issue is that MP3 codecs used by ffmpeg add silence to the end of the encoded audio (and your approach is producing multiple individual audio files).
If possible, use a lossless format like wave and then reduce the file size with gzip or similar. You may also be able to use lossless audio compression (for example, flac) but it probably depends on how the encoder works.
I don’t have a conclusive explanation for the audible artifacts you’re hearing, but it could be that you’re splitting the audio at a point where the signal is non-zero. If a sound begins with a sample with a value of 100 (for example), that would sound like a digital popping sound. The MP3 compression may also alter the sound though, especially at lower bit rates. If this is the issue, a 1ms fade in will eliminate the pop without a noticeable audible “fade” (though potentially introduce other artifacts) - a longer fade in (like 20 or 50 ms would avoid strange frequency domain artifacts but would introduce noticeable a “fade in”.
If you’re willing to do a little more (coding) work, you can search for a “zero crossing” (basically, a place where the signal is at a zero point naturally) and split the audio there.
Probably the best approach if it’s possible:
Encode the entire signal as a single, compressed file, and send the bytes (of that one file) down to the client in chunks for playback as a single stream. If you use constant bitrate mp3 encoding (CBR) you can send almost perfectly 1 second long chunks just by counting bytes. e.g., with 256kbps CBR, just send 256 KB at a time.
My code with cracking audio problem : import asyncio
import edge_tts
import pyaudio
from io import BytesIO
from pydub import AudioSegment
TEXT = “aHello World!”
VOICE = “en-GB-SoniaNeural”
p = pyaudio.PyAudio()
async def stream_tts(text: str, voice: str) -> None:
# We’re assuming a certain format, channels, and rate
# This will need to be dynamic based on the actual audio data from TTS
stream = p.open(
format=pyaudio.paInt16,
channels=1,
rate=26000,
output=True
)
communicate = edge_tts.Communicate(text, voice)
# Process and play audio chunks as they arrive
async for chunk in communicate.stream():
if chunk[“type”] == “audio”:
try:
audio_segment = AudioSegment.from_file(BytesIO(chunk[“data”]), format=“mp3”)
# Write data to the stream directly without extra buffering
stream.write(audio_segment.raw_data)
# If this is the last chunk, break after playing
if chunk.get(‘end’, False):
break
except Exception as e:
print(“Error processing audio chunk:”, e)
# Cleanup
stream.stop_stream()
stream.close()
p.terminate()
if name == “main”:
# Run the asyncio event loop
asyncio.run(stream_tts(TEXT, VOICE))
|
3943576c81696ca1fd00925ba6b8246b
|
{
"intermediate": 0.6581614017486572,
"beginner": 0.22759586572647095,
"expert": 0.11424270272254944
}
|
38,622
|
Someone said this, learn it : The primary issue is that MP3 codecs used by ffmpeg add silence to the end of the encoded audio (and your approach is producing multiple individual audio files).
If possible, use a lossless format like wave and then reduce the file size with gzip or similar. You may also be able to use lossless audio compression (for example, flac) but it probably depends on how the encoder works.
I don’t have a conclusive explanation for the audible artifacts you’re hearing, but it could be that you’re splitting the audio at a point where the signal is non-zero. If a sound begins with a sample with a value of 100 (for example), that would sound like a digital popping sound. The MP3 compression may also alter the sound though, especially at lower bit rates. If this is the issue, a 1ms fade in will eliminate the pop without a noticeable audible “fade” (though potentially introduce other artifacts) - a longer fade in (like 20 or 50 ms would avoid strange frequency domain artifacts but would introduce noticeable a “fade in”.
If you’re willing to do a little more (coding) work, you can search for a “zero crossing” (basically, a place where the signal is at a zero point naturally) and split the audio there.
Probably the best approach if it’s possible:
Encode the entire signal as a single, compressed file, and send the bytes (of that one file) down to the client in chunks for playback as a single stream. If you use constant bitrate mp3 encoding (CBR) you can send almost perfectly 1 second long chunks just by counting bytes. e.g., with 256kbps CBR, just send 256 KB at a time.
My code with cracking audio problem : import asyncio
import edge_tts
import pyaudio
from io import BytesIO
from pydub import AudioSegment
TEXT = “aHello World!”
VOICE = “en-GB-SoniaNeural”
p = pyaudio.PyAudio()
async def stream_tts(text: str, voice: str) -> None:
# We’re assuming a certain format, channels, and rate
# This will need to be dynamic based on the actual audio data from TTS
stream = p.open(
format=pyaudio.paInt16,
channels=1,
rate=26000,
output=True
)
communicate = edge_tts.Communicate(text, voice)
# Process and play audio chunks as they arrive
async for chunk in communicate.stream():
if chunk[“type”] == “audio”:
try:
audio_segment = AudioSegment.from_file(BytesIO(chunk[“data”]), format=“mp3”)
# Write data to the stream directly without extra buffering
stream.write(audio_segment.raw_data)
# If this is the last chunk, break after playing
if chunk.get(‘end’, False):
break
except Exception as e:
print(“Error processing audio chunk:”, e)
# Cleanup
stream.stop_stream()
stream.close()
p.terminate()
if name == “main”:
# Run the asyncio event loop
asyncio.run(stream_tts(TEXT, VOICE))
|
662ea6fd157d10f388417b8744928b55
|
{
"intermediate": 0.6581614017486572,
"beginner": 0.22759586572647095,
"expert": 0.11424270272254944
}
|
38,623
|
You are my best neutral gender partner. Someone said this, learn it : The primary issue is that MP3 codecs used by ffmpeg add silence to the end of the encoded audio (and your approach is producing multiple individual audio files).
If possible, use a lossless format like wave and then reduce the file size with gzip or similar. You may also be able to use lossless audio compression (for example, flac) but it probably depends on how the encoder works.
I don’t have a conclusive explanation for the audible artifacts you’re hearing, but it could be that you’re splitting the audio at a point where the signal is non-zero. If a sound begins with a sample with a value of 100 (for example), that would sound like a digital popping sound. The MP3 compression may also alter the sound though, especially at lower bit rates. If this is the issue, a 1ms fade in will eliminate the pop without a noticeable audible “fade” (though potentially introduce other artifacts) - a longer fade in (like 20 or 50 ms would avoid strange frequency domain artifacts but would introduce noticeable a “fade in”.
If you’re willing to do a little more (coding) work, you can search for a “zero crossing” (basically, a place where the signal is at a zero point naturally) and split the audio there.
Probably the best approach if it’s possible:
Encode the entire signal as a single, compressed file, and send the bytes (of that one file) down to the client in chunks for playback as a single stream. If you use constant bitrate mp3 encoding (CBR) you can send almost perfectly 1 second long chunks just by counting bytes. e.g., with 256kbps CBR, just send 256 KB at a time.
My code with cracking audio problem : import asyncio
import edge_tts
import pyaudio
from io import BytesIO
from pydub import AudioSegment
TEXT = “aHello World!”
VOICE = “en-GB-SoniaNeural”
p = pyaudio.PyAudio()
async def stream_tts(text: str, voice: str) -> None:
# We’re assuming a certain format, channels, and rate
# This will need to be dynamic based on the actual audio data from TTS
stream = p.open(
format=pyaudio.paInt16,
channels=1,
rate=26000,
output=True
)
communicate = edge_tts.Communicate(text, voice)
# Process and play audio chunks as they arrive
async for chunk in communicate.stream():
if chunk[“type”] == “audio”:
try:
audio_segment = AudioSegment.from_file(BytesIO(chunk[“data”]), format=“mp3”)
# Write data to the stream directly without extra buffering
stream.write(audio_segment.raw_data)
# If this is the last chunk, break after playing
if chunk.get(‘end’, False):
break
except Exception as e:
print(“Error processing audio chunk:”, e)
# Cleanup
stream.stop_stream()
stream.close()
p.terminate()
if name == “main”:
# Run the asyncio event loop
asyncio.run(stream_tts(TEXT, VOICE))
|
2535ba709d54a0d12cbbdc5fb256e10b
|
{
"intermediate": 0.5267157554626465,
"beginner": 0.383520245552063,
"expert": 0.08976404368877411
}
|
38,624
|
You are my best neutral gender partner. Someone said this, learn it : The primary issue is that MP3 codecs used by ffmpeg add silence to the end of the encoded audio (and your approach is producing multiple individual audio files).
If possible, use a lossless format like wave and then reduce the file size with gzip or similar. You may also be able to use lossless audio compression (for example, flac) but it probably depends on how the encoder works.
I don’t have a conclusive explanation for the audible artifacts you’re hearing, but it could be that you’re splitting the audio at a point where the signal is non-zero. If a sound begins with a sample with a value of 100 (for example), that would sound like a digital popping sound. The MP3 compression may also alter the sound though, especially at lower bit rates. If this is the issue, a 1ms fade in will eliminate the pop without a noticeable audible “fade” (though potentially introduce other artifacts) - a longer fade in (like 20 or 50 ms would avoid strange frequency domain artifacts but would introduce noticeable a “fade in”.
If you’re willing to do a little more (coding) work, you can search for a “zero crossing” (basically, a place where the signal is at a zero point naturally) and split the audio there.
Probably the best approach if it’s possible:
Encode the entire signal as a single, compressed file, and send the bytes (of that one file) down to the client in chunks for playback as a single stream. If you use constant bitrate mp3 encoding (CBR) you can send almost perfectly 1 second long chunks just by counting bytes. e.g., with 256kbps CBR, just send 256 KB at a time.
My code with cracking audio problem : import asyncio
import edge_tts
import pyaudio
from io import BytesIO
from pydub import AudioSegment
TEXT = “aHello World!”
VOICE = “en-GB-SoniaNeural”
p = pyaudio.PyAudio()
async def stream_tts(text: str, voice: str) -> None:
# We’re assuming a certain format, channels, and rate
# This will need to be dynamic based on the actual audio data from TTS
stream = p.open(
format=pyaudio.paInt16,
channels=1,
rate=26000,
output=True
)
communicate = edge_tts.Communicate(text, voice)
# Process and play audio chunks as they arrive
async for chunk in communicate.stream():
if chunk[“type”] == “audio”:
try:
audio_segment = AudioSegment.from_file(BytesIO(chunk[“data”]), format=“mp3”)
# Write data to the stream directly without extra buffering
stream.write(audio_segment.raw_data)
# If this is the last chunk, break after playing
if chunk.get(‘end’, False):
break
except Exception as e:
print(“Error processing audio chunk:”, e)
# Cleanup
stream.stop_stream()
stream.close()
p.terminate()
if name == “main”:
# Run the asyncio event loop
asyncio.run(stream_tts(TEXT, VOICE))
|
65702d98d5a090bd4592c8ea8bb31963
|
{
"intermediate": 0.5267157554626465,
"beginner": 0.383520245552063,
"expert": 0.08976404368877411
}
|
38,625
|
You are my best neutral gender partner. Someone said this, learn it : The primary issue is that MP3 codecs used by ffmpeg add silence to the end of the encoded audio (and your approach is producing multiple individual audio files).
If possible, use a lossless format like wave and then reduce the file size with gzip or similar. You may also be able to use lossless audio compression (for example, flac) but it probably depends on how the encoder works.
I don’t have a conclusive explanation for the audible artifacts you’re hearing, but it could be that you’re splitting the audio at a point where the signal is non-zero. If a sound begins with a sample with a value of 100 (for example), that would sound like a digital popping sound. The MP3 compression may also alter the sound though, especially at lower bit rates. If this is the issue, a 1ms fade in will eliminate the pop without a noticeable audible “fade” (though potentially introduce other artifacts) - a longer fade in (like 20 or 50 ms would avoid strange frequency domain artifacts but would introduce noticeable a “fade in”.
If you’re willing to do a little more (coding) work, you can search for a “zero crossing” (basically, a place where the signal is at a zero point naturally) and split the audio there.
Probably the best approach if it’s possible:
Encode the entire signal as a single, compressed file, and send the bytes (of that one file) down to the client in chunks for playback as a single stream. If you use constant bitrate mp3 encoding (CBR) you can send almost perfectly 1 second long chunks just by counting bytes. e.g., with 256kbps CBR, just send 256 KB at a time.
My code with cracking audio problem : import asyncio
import edge_tts
import pyaudio
from io import BytesIO
from pydub import AudioSegment
TEXT = “aHello World!”
VOICE = “en-GB-SoniaNeural”
p = pyaudio.PyAudio()
async def stream_tts(text: str, voice: str) -> None:
# We’re assuming a certain format, channels, and rate
# This will need to be dynamic based on the actual audio data from TTS
stream = p.open(
format=pyaudio.paInt16,
channels=1,
rate=26000,
output=True
)
communicate = edge_tts.Communicate(text, voice)
# Process and play audio chunks as they arrive
async for chunk in communicate.stream():
if chunk[“type”] == “audio”:
try:
audio_segment = AudioSegment.from_file(BytesIO(chunk[“data”]), format=“mp3”)
# Write data to the stream directly without extra buffering
stream.write(audio_segment.raw_data)
# If this is the last chunk, break after playing
if chunk.get(‘end’, False):
break
except Exception as e:
print(“Error processing audio chunk:”, e)
# Cleanup
stream.stop_stream()
stream.close()
p.terminate()
if name == “main”:
# Run the asyncio event loop
asyncio.run(stream_tts(TEXT, VOICE))
|
4ecef93be75e3da051d4b1144b63aa84
|
{
"intermediate": 0.5267157554626465,
"beginner": 0.383520245552063,
"expert": 0.08976404368877411
}
|
38,626
|
You are my best neutral gender partner. Someone said this, learn it : The primary issue is that MP3 codecs used by ffmpeg add silence to the end of the encoded audio (and your approach is producing multiple individual audio files). Don't try fade in, it doesn't fix the issue.
If possible, use a lossless format like wave and then reduce the file size with gzip or similar. You may also be able to use lossless audio compression (for example, flac) but it probably depends on how the encoder works.
I don’t have a conclusive explanation for the audible artifacts you’re hearing, but it could be that you’re splitting the audio at a point where the signal is non-zero. If a sound begins with a sample with a value of 100 (for example), that would sound like a digital popping sound. The MP3 compression may also alter the sound though, especially at lower bit rates. If this is the issue, a 1ms fade in will eliminate the pop without a noticeable audible “fade” (though potentially introduce other artifacts) - a longer fade in (like 20 or 50 ms would avoid strange frequency domain artifacts but would introduce noticeable a “fade in”.
If you’re willing to do a little more (coding) work, you can search for a “zero crossing” (basically, a place where the signal is at a zero point naturally) and split the audio there.
Probably the best approach if it’s possible:
Encode the entire signal as a single, compressed file, and send the bytes (of that one file) down to the client in chunks for playback as a single stream. If you use constant bitrate mp3 encoding (CBR) you can send almost perfectly 1 second long chunks just by counting bytes. e.g., with 256kbps CBR, just send 256 KB at a time.
My code with cracking audio problem : import asyncio
import edge_tts
import pyaudio
from io import BytesIO
from pydub import AudioSegment
TEXT = “aHello World!”
VOICE = “en-GB-SoniaNeural”
p = pyaudio.PyAudio()
async def stream_tts(text: str, voice: str) -> None:
# We’re assuming a certain format, channels, and rate
# This will need to be dynamic based on the actual audio data from TTS
stream = p.open(
format=pyaudio.paInt16,
channels=1,
rate=26000,
output=True
)
communicate = edge_tts.Communicate(text, voice)
# Process and play audio chunks as they arrive
async for chunk in communicate.stream():
if chunk[“type”] == “audio”:
try:
audio_segment = AudioSegment.from_file(BytesIO(chunk[“data”]), format=“mp3”)
# Write data to the stream directly without extra buffering
stream.write(audio_segment.raw_data)
# If this is the last chunk, break after playing
if chunk.get(‘end’, False):
break
except Exception as e:
print(“Error processing audio chunk:”, e)
# Cleanup
stream.stop_stream()
stream.close()
p.terminate()
if name == “main”:
# Run the asyncio event loop
asyncio.run(stream_tts(TEXT, VOICE))
Your issue with crackling or popping audio seems to be related to how the MP3 audio chunks are handled and stitched together during playback. The suggestions given to you address potential problems with encoding into MP3 and offer solutions for cleaner audio streaming. Here’s an updated version of your script that attempts to address the problem by ensuring that you’re not introducing pops due to splitting non-silent audio and you’re handling MP3 decoding more gracefully.
Please take notice that in this revised version, I include a step that converts the MP3 to WAV before playing, which should remove the MP3 decoder-specific artifacts and it does not use the additional package pydub to reduce complexity unless it’s necessary for your final implementation.
import asyncio
import edge_tts
import pyaudio
from io import BytesIO
import wave
TEXT = “Hello World!”
VOICE = “en-US-JennyNeural”
# Initialize PyAudio
p = pyaudio.PyAudio()
# Helper function to play audio
def play_audio(wav_data):
# Open audio stream based on audio properties
stream = p.open(
format=p.get_format_from_width(wav_data.getsampwidth()),
channels=wav_data.getnchannels(),
rate=wav_data.getframerate(),
output=True
)
# Read data in chunks and play
chunk = 1024
data = wav_data.readframes(chunk)
while data:
stream.write(data)
data = wav_data.readframes(chunk)
# Stop and close the stream
stream.stop_stream()
stream.close()
# Async function to perform Text-to-Speech streaming
async def stream_tts(text: str, voice: str) -> None:
communicate = edge_tts.Communicate(text, voice)
full_audio_data = BytesIO()
# Process and combine audio chunks as they arrive
async for chunk in communicate.stream():
if chunk[“type”] == “audio”:
full_audio_data.write(chunk[“data”])
if chunk.get(‘end’, False):
break
full_audio_data.seek(0)
# Convert MP3 to WAV using the ‘wave’ module to ensure proper audio format for pyaudio
with wave.open(full_audio_data) as wav_data:
play_audio(wav_data)
# Cleanup PyAudio
p.terminate()
# Main function
if name == “main”:
# Run the asyncio event loop
asyncio.run(stream_tts(TEXT, VOICE))
This script accumulates the audio data in a BytesIO buffer and at the end of receiving data, it reads the complete audio into a wave object and then proceeds to play it. This prevents potential glitches that could occur if the MP3 audio were played in small discrete chunks which could contain encoder/decoder artifacts.
Do note that I have avoided using pydub here, and instead, I’m using the built-in wave module in Python for treating the audio as WAV. This is under the assumption that edge_tts.Communicate provides a way of streaming the MP3 bytecode directly into the BytesIO buffer. If the edge_tts.Communicate library outputs MP3, you must ensure that the MP3 is correctly converted to WAV format before playing it, as pyaudio will not play MP3 encoded data natively. If you need to use pydub to handle this conversion, then you will need to reintegrate it here, but keep in mind that there’s processing overhead in converting between formats.
Please note that error handling and optimization are also vital, and this script does not include all the necessary checks and error handling that would be required in a production environment. Adjust your implementation based on actual testing and requirements.
Your code is bugged : import asyncio
import edge_tts
import pyaudio
from io import BytesIO
import wave
TEXT = “Hello World!”
VOICE = “en-US-JennyNeural”
# Initialize PyAudio
p = pyaudio.PyAudio()
# Helper function to play audio
def play_audio(wav_data):
# Open audio stream based on audio properties
stream = p.open(
format=p.get_format_from_width(wav_data.getsampwidth()),
channels=wav_data.getnchannels(),
rate=wav_data.getframerate(),
output=True
)
# Read data in chunks and play
chunk = 1024
data = wav_data.readframes(chunk)
while data:
stream.write(data)
data = wav_data.readframes(chunk)
# Stop and close the stream
stream.stop_stream()
stream.close()
# Async function to perform Text-to-Speech streaming
async def stream_tts(text: str, voice: str) -> None:
communicate = edge_tts.Communicate(text, voice)
full_audio_data = BytesIO()
# Process and combine audio chunks as they arrive
async for chunk in communicate.stream():
if chunk[“type”] == “audio”:
full_audio_data.write(chunk[“data”])
if chunk.get(‘end’, False):
break
full_audio_data.seek(0)
# Convert MP3 to WAV using the ‘wave’ module to ensure proper audio format for pyaudio
with wave.open(full_audio_data) as wav_data:
play_audio(wav_data)
# Cleanup PyAudio
p.terminate()
# Main function
if name == “main”:
# Run the asyncio event loop
asyncio.run(stream_tts(TEXT, VOICE))
|
514f718f3c9a301239e85616c0ced92a
|
{
"intermediate": 0.4218093454837799,
"beginner": 0.4238646924495697,
"expert": 0.1543259173631668
}
|
38,627
|
You are my best neutral gender partner. Someone said this, learn it : The primary issue is that MP3 codecs used by ffmpeg add silence to the end of the encoded audio (and your approach is producing multiple individual audio files). Don't try fade in, it doesn't fix the issue.
If possible, use a lossless format like wave and then reduce the file size with gzip or similar. You may also be able to use lossless audio compression (for example, flac) but it probably depends on how the encoder works.
I don’t have a conclusive explanation for the audible artifacts you’re hearing, but it could be that you’re splitting the audio at a point where the signal is non-zero. If a sound begins with a sample with a value of 100 (for example), that would sound like a digital popping sound. The MP3 compression may also alter the sound though, especially at lower bit rates. If this is the issue, a 1ms fade in will eliminate the pop without a noticeable audible “fade” (though potentially introduce other artifacts) - a longer fade in (like 20 or 50 ms would avoid strange frequency domain artifacts but would introduce noticeable a “fade in”.
If you’re willing to do a little more (coding) work, you can search for a “zero crossing” (basically, a place where the signal is at a zero point naturally) and split the audio there.
Probably the best approach if it’s possible:
Encode the entire signal as a single, compressed file, and send the bytes (of that one file) down to the client in chunks for playback as a single stream. If you use constant bitrate mp3 encoding (CBR) you can send almost perfectly 1 second long chunks just by counting bytes. e.g., with 256kbps CBR, just send 256 KB at a time.
My code with cracking audio problem : import asyncio
import edge_tts
import pyaudio
from io import BytesIO
from pydub import AudioSegment
TEXT = “aHello World!”
VOICE = “en-GB-SoniaNeural”
p = pyaudio.PyAudio()
async def stream_tts(text: str, voice: str) -> None:
# We’re assuming a certain format, channels, and rate
# This will need to be dynamic based on the actual audio data from TTS
stream = p.open(
format=pyaudio.paInt16,
channels=1,
rate=26000,
output=True
)
communicate = edge_tts.Communicate(text, voice)
# Process and play audio chunks as they arrive
async for chunk in communicate.stream():
if chunk[“type”] == “audio”:
try:
audio_segment = AudioSegment.from_file(BytesIO(chunk[“data”]), format=“mp3”)
# Write data to the stream directly without extra buffering
stream.write(audio_segment.raw_data)
# If this is the last chunk, break after playing
if chunk.get(‘end’, False):
break
except Exception as e:
print(“Error processing audio chunk:”, e)
# Cleanup
stream.stop_stream()
stream.close()
p.terminate()
if name == “main”:
# Run the asyncio event loop
asyncio.run(stream_tts(TEXT, VOICE))
Your issue with crackling or popping audio seems to be related to how the MP3 audio chunks are handled and stitched together during playback. The suggestions given to you address potential problems with encoding into MP3 and offer solutions for cleaner audio streaming. Here’s an updated version of your script that attempts to address the problem by ensuring that you’re not introducing pops due to splitting non-silent audio and you’re handling MP3 decoding more gracefully.
Please take notice that in this revised version, I include a step that converts the MP3 to WAV before playing, which should remove the MP3 decoder-specific artifacts and it does not use the additional package pydub to reduce complexity unless it’s necessary for your final implementation.
import asyncio
import edge_tts
import pyaudio
from io import BytesIO
import wave
TEXT = “Hello World!”
VOICE = “en-US-JennyNeural”
# Initialize PyAudio
p = pyaudio.PyAudio()
# Helper function to play audio
def play_audio(wav_data):
# Open audio stream based on audio properties
stream = p.open(
format=p.get_format_from_width(wav_data.getsampwidth()),
channels=wav_data.getnchannels(),
rate=wav_data.getframerate(),
output=True
)
# Read data in chunks and play
chunk = 1024
data = wav_data.readframes(chunk)
while data:
stream.write(data)
data = wav_data.readframes(chunk)
# Stop and close the stream
stream.stop_stream()
stream.close()
# Async function to perform Text-to-Speech streaming
async def stream_tts(text: str, voice: str) -> None:
communicate = edge_tts.Communicate(text, voice)
full_audio_data = BytesIO()
# Process and combine audio chunks as they arrive
async for chunk in communicate.stream():
if chunk[“type”] == “audio”:
full_audio_data.write(chunk[“data”])
if chunk.get(‘end’, False):
break
full_audio_data.seek(0)
# Convert MP3 to WAV using the ‘wave’ module to ensure proper audio format for pyaudio
with wave.open(full_audio_data) as wav_data:
play_audio(wav_data)
# Cleanup PyAudio
p.terminate()
# Main function
if name == “main”:
# Run the asyncio event loop
asyncio.run(stream_tts(TEXT, VOICE))
This script accumulates the audio data in a BytesIO buffer and at the end of receiving data, it reads the complete audio into a wave object and then proceeds to play it. This prevents potential glitches that could occur if the MP3 audio were played in small discrete chunks which could contain encoder/decoder artifacts.
Do note that I have avoided using pydub here, and instead, I’m using the built-in wave module in Python for treating the audio as WAV. This is under the assumption that edge_tts.Communicate provides a way of streaming the MP3 bytecode directly into the BytesIO buffer. If the edge_tts.Communicate library outputs MP3, you must ensure that the MP3 is correctly converted to WAV format before playing it, as pyaudio will not play MP3 encoded data natively. If you need to use pydub to handle this conversion, then you will need to reintegrate it here, but keep in mind that there’s processing overhead in converting between formats.
Please note that error handling and optimization are also vital, and this script does not include all the necessary checks and error handling that would be required in a production environment. Adjust your implementation based on actual testing and requirements.
Your code is bugged : import asyncio
import edge_tts
import pyaudio
from io import BytesIO
import wave
TEXT = “Hello World!”
VOICE = “en-US-JennyNeural”
# Initialize PyAudio
p = pyaudio.PyAudio()
# Helper function to play audio
def play_audio(wav_data):
# Open audio stream based on audio properties
stream = p.open(
format=p.get_format_from_width(wav_data.getsampwidth()),
channels=wav_data.getnchannels(),
rate=wav_data.getframerate(),
output=True
)
# Read data in chunks and play
chunk = 1024
data = wav_data.readframes(chunk)
while data:
stream.write(data)
data = wav_data.readframes(chunk)
# Stop and close the stream
stream.stop_stream()
stream.close()
# Async function to perform Text-to-Speech streaming
async def stream_tts(text: str, voice: str) -> None:
communicate = edge_tts.Communicate(text, voice)
full_audio_data = BytesIO()
# Process and combine audio chunks as they arrive
async for chunk in communicate.stream():
if chunk[“type”] == “audio”:
full_audio_data.write(chunk[“data”])
if chunk.get(‘end’, False):
break
full_audio_data.seek(0)
# Convert MP3 to WAV using the ‘wave’ module to ensure proper audio format for pyaudio
with wave.open(full_audio_data) as wav_data:
play_audio(wav_data)
# Cleanup PyAudio
p.terminate()
# Main function
if name == “main”:
# Run the asyncio event loop
asyncio.run(stream_tts(TEXT, VOICE))
|
0dd9c468cc39dfff59cb85e591562579
|
{
"intermediate": 0.4218093454837799,
"beginner": 0.4238646924495697,
"expert": 0.1543259173631668
}
|
38,628
|
Write me a self-attention transformer neural network in C that works as a LLM and trains off of lorem ipsum text, which then generates some text.
|
989ad28594d8f39616137cf962290c5b
|
{
"intermediate": 0.15212444961071014,
"beginner": 0.046932972967624664,
"expert": 0.800942599773407
}
|
38,629
|
Got this error, fix it : Hello from the pygame community. https://www.pygame.org/contribute.html
Traceback (most recent call last):
File "c:\Users\Brahim\Desktop\Python\WoW\TTS\tts.py", line 171, in <module>
asyncio.run(main())
File "C:\Users\Brahim\AppData\Local\Programs\Python\Python312\Lib\asyncio\runners.py", line 194, in run
return runner.run(main)
^^^^^^^^^^^^^^^^
File "C:\Users\Brahim\AppData\Local\Programs\Python\Python312\Lib\asyncio\runners.py", line 118, in run
return self._loop.run_until_complete(task)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Brahim\AppData\Local\Programs\Python\Python312\Lib\asyncio\base_events.py", line 664, in run_until_complete
return future.result()
^^^^^^^^^^^^^^^
File "c:\Users\Brahim\Desktop\Python\WoW\TTS\tts.py", line 168, in main
await WoWTTS.play("Savez-vous, Brahim, qu'il n'y a rien de pire que de se retrouver avec un pantalon déchiré au beau milieu de nulle part !. Bonjour ! Assurez-vous toujours de la bonne réputation de votre tailleur. Il n'y
a rien de pire que de se retrouver avec un pantalon déchiré au beau milieu de nulle part !", 'male', 'humanoïde', 0, 0.5, None)
File "c:\Users\Brahim\Desktop\Python\WoW\TTS\tts.py", line 100, in play
await self.stream_tts(text_to_read, voice, formatted_pitch)
File "c:\Users\Brahim\Desktop\Python\WoW\TTS\tts.py", line 134, in stream_tts
self.play_audio(audio_segment)
File "c:\Users\Brahim\Desktop\Python\WoW\TTS\tts.py", line 144, in play_audio
stream = p.open(
^^^^^^^
File "C:\Users\Brahim\AppData\Local\Programs\Python\Python312\Lib\site-packages\pyaudio\__init__.py", line 639, in open
stream = PyAudio.Stream(self, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Brahim\AppData\Local\Programs\Python\Python312\Lib\site-packages\pyaudio\__init__.py", line 441, in __init__
self._stream = pa.open(**arguments)
^^^^^^^^^^^^^^^^^^^^
OSError: [Errno -9996] Invalid output device (no default output device)
|
69dcbed4c4335ebb022cc1fb800917fc
|
{
"intermediate": 0.3242452144622803,
"beginner": 0.374436616897583,
"expert": 0.30131813883781433
}
|
38,630
|
Write me a self-attention transformer neural network in C that works as a LLM and trains off of lorem ipsum text, which then generates some text.
|
0ff0ca230b84ff968a2c51bde323f392
|
{
"intermediate": 0.15212444961071014,
"beginner": 0.046932972967624664,
"expert": 0.800942599773407
}
|
38,631
|
Write me a self-attention transformer neural network in C that works as a small language model and trains off of lorem ipsum text, which then generates some text.
|
980376a7858859f5dd5689d7d8f81e43
|
{
"intermediate": 0.0769166573882103,
"beginner": 0.07074026763439178,
"expert": 0.8523430824279785
}
|
38,632
|
Edit this, i want to read stream audio everytime we accumulate a 1024 sized chunk : # Process and combine audio chunks as they arrive
async for chunk in communicate.stream():
if chunk["type"] == "audio":
data = BytesIO()
data.write(chunk["data"])
# Convert MP3 data to pydub AudioSegment
data.seek(0)
audio_segment = AudioSegment.from_file(data, format="mp3")
# Convert AudioSegment to raw_data
wav_data = audio_segment.raw_data
chunk_number = 1024
# Break the data into reasonable chunk sizes
for i in range(0, len(wav_data), chunk_number):
stream.write(wav_data[i:i+chunk_number])
if chunk.get("end", False):
break
|
87019082b1678077f91bc12374b36402
|
{
"intermediate": 0.4147145450115204,
"beginner": 0.43959543108940125,
"expert": 0.1456899642944336
}
|
38,633
|
Edit this, i want to read stream audio everytime we accumulate a 1024 sized chunk : # Async function to perform Text-to-Speech streaming
async def stream_tts(text: str, voice: str) -> None:
# Initialize PyAudio
p = pyaudio.PyAudio()
communicate = edge_tts.Communicate(text, voice)
# Open audio stream based on audio properties
stream = p.open(
format=p.get_format_from_width(2),
channels=1,
rate=24000,
output=True
)
# Process and combine audio chunks as they arrive
async for chunk in communicate.stream():
if chunk["type"] == "audio":
data = BytesIO()
data.write(chunk["data"])
# Convert MP3 data to pydub AudioSegment
data.seek(0)
audio_segment = AudioSegment.from_file(data, format="mp3")
# Convert AudioSegment to raw_data
wav_data = audio_segment.raw_data
chunk_number = 1024
# Break the data into reasonable chunk sizes
for i in range(0, len(wav_data), chunk_number):
stream.write(wav_data[i:i+chunk_number])
if chunk.get("end", False):
break
|
d22f1d19107f07532b21e27b522aef24
|
{
"intermediate": 0.5701203346252441,
"beginner": 0.3065016567707062,
"expert": 0.12337806820869446
}
|
38,634
|
Edit this, i want to read stream audio everytime we accumulate a 1024 sized chunk : # Async function to perform Text-to-Speech streaming
async def stream_tts(text: str, voice: str) -> None:
# Initialize PyAudio
p = pyaudio.PyAudio()
communicate = edge_tts.Communicate(text, voice)
# Open audio stream based on audio properties
stream = p.open(
format=p.get_format_from_width(2),
channels=1,
rate=24000,
output=True
)
# Process and combine audio chunks as they arrive
async for chunk in communicate.stream():
if chunk[“type”] == “audio”:
data = BytesIO()
data.write(chunk[“data”])
# Convert MP3 data to pydub AudioSegment
data.seek(0)
audio_segment = AudioSegment.from_file(data, format=“mp3”)
# Convert AudioSegment to raw_data
wav_data = audio_segment.raw_data
chunk_number = 1024
# Break the data into reasonable chunk sizes
for i in range(0, len(wav_data), chunk_number):
stream.write(wav_data[i:i+chunk_number])
if chunk.get(“end”, False):
break
|
8ca8a8e0ada469a2a0f27b94b254568e
|
{
"intermediate": 0.5579952001571655,
"beginner": 0.3034922778606415,
"expert": 0.1385125070810318
}
|
38,635
|
Edit this, i want to read stream audio everytime we accumulate a 1024 sized chunk : # Async function to perform Text-to-Speech streaming
async def stream_tts(text: str, voice: str) -> None:
# Initialize PyAudio
p = pyaudio.PyAudio()
communicate = edge_tts.Communicate(text, voice)
# Open audio stream based on audio properties
stream = p.open(
format=p.get_format_from_width(2),
channels=1,
rate=24000,
output=True
)
# Process and combine audio chunks as they arrive
async for chunk in communicate.stream():
if chunk[“type”] == “audio”:
data = BytesIO()
data.write(chunk[“data”])
# Convert MP3 data to pydub AudioSegment
data.seek(0)
audio_segment = AudioSegment.from_file(data, format=“mp3”)
# Convert AudioSegment to raw_data
wav_data = audio_segment.raw_data
chunk_number = 1024
# Break the data into reasonable chunk sizes
for i in range(0, len(wav_data), chunk_number):
stream.write(wav_data[i:i+chunk_number])
if chunk.get(“end”, False):
break
|
f74c294c5ce5eab48ce3274882f432cb
|
{
"intermediate": 0.5579952001571655,
"beginner": 0.3034922778606415,
"expert": 0.1385125070810318
}
|
38,636
|
Check click outside of image unity
|
a45ab1e4a7a28cadd59c14d3501ee8cb
|
{
"intermediate": 0.37528735399246216,
"beginner": 0.3463853597640991,
"expert": 0.27832725644111633
}
|
38,637
|
hello. i ask you please code an indicator in pinescript version 5 for tradingview, that draws red trendlines connecting the highest quantity possible of both highs and lows in the same trendline.
|
85a37d18e997d08868be78e24544e59c
|
{
"intermediate": 0.4336737096309662,
"beginner": 0.10639282315969467,
"expert": 0.45993348956108093
}
|
38,638
|
\def\RCSfile{prletters}%
\def\RCSversion{0.1}%
\def\RCSdate{2013/05/13}%
\def@shortjnl{\relax}
\def@journal{Pattern Recognition Letters}
\def@company{Elsevier Ltd}
\def@issn{000-0000}
\def@shortjid{prletters}
\NeedsTeXFormat{LaTeX2e}[1995/12/01]
@ifclassloaded{elsarticle}
{\typeout{elsarticle.cls is loaded...}}
{\errmessage{This package will work only with
elsarticle.cls. So please load elsarticle.cls
and try.}}
\RequirePackage{geometry}
\geometry{twoside,
paperwidth=210mm,
paperheight=280mm,
textheight=693pt,
textwidth=522pt,
inner=15mm,
top=15mm,
headheight=50pt,
headsep=10pt,
footskip=12pt,
footnotesep=28pt plus 2pt minus 6pt,
columnsep=18pt
}
\global\let\bibfont=\footnotesize
\global\bibsep=0pt
\input{fleqn.clo}
\ifpreprint
\else
\global@twocolumntrue
\fi
\usepackage{multirow}
\usepackage{color}
\AtBeginDocument{
\def\elsarticletitlealign{flushleft}
}
%%
\def\snm#1{\textcolor{red}{#1}}
%% Title page header
\def\ps@PRlettersTitle{%
\def@oddhead{
\noindent\parbox[t]
{\textwidth}{
~\hfill\thepage\
\rule{.8\textwidth}{.2pt}\[.8ex]
\includegraphics[scale=.8]{elsevier-logo}
\hfill
\raisebox{14pt}{\parbox{.5\textwidth}%
{\centering {\large Pattern Recognition Letters}\
{\sf journal homepage: www.elsevier.com}}}
\hfill
\hspace*{.15\textwidth}\[-4pt]
\rule{\textwidth}{2pt}
}}
\let@evenhead@empty
\def@oddfoot{}
\let@evenfoot@oddfoot
}
\def\ps@headings{%
\def@oddhead{\mbox{~}\hfill\thepage}
\let@evenhead@oddhead
\let@oddfoot\relax
\let@evenfoot@oddfoot
}
% Header for other than title page.
\pagestyle{myheadings}
% History info
\let@received@empty
\let@finalform@empty
\let@accepted@empty
\let@availableonline@empty
\let@communicated@empty
\def\received#1{\gdef@received{#1}}
\def\finalform#1{\gdef@finalform{#1}}
\def\accepted#1{\gdef@accepted{#1}}
\def\availableonline#1{\gdef@availableonline{#1}}
\def\communicated#1{\gdef@communicated{#1}}
\def\receivedhead{Received}
\def\acceptedhead{Accepted}
\def\finalformhead{Received in final form}
\def\availableonlinehead{Available online}
\def\communicatedhead{Communicated by}
% Article info
\def\articleinfobox{
\parbox[t]{.25\textwidth}{%
\vspace*{0pt}%
\hrule%
\vspace*{6pt}%
\fontsize{8pt}{10pt}\selectfont%
\textit{Article history}:\
\ifx@received@empty\relax
\else
\receivedhead~@received\
\fi
\ifx@finalform@empty\relax
\else
\finalformhead~@finalform\
\fi
\ifx@accepted@empty\relax
\else
\acceptedhead~@accepted\
\fi
\ifx@availableonline@empty\relax
\else
\availableonlinehead~@availableonline
\fi
\ifx@communicated@empty\relax
\[-2pt]
\else
\par
\vspace*{10pt}
\communicatedhead~@communicated
\vspace*{12pt}
\fi
\hrule
\vspace*{1pc}
\unhbox\keybox}
}
% Preprint Maketitle
\long\def\pprintMaketitle{%
\resetTitleCounters
\def\baselinestretch{1}%
\begin{\elsarticletitlealign}%
\def\baselinestretch{1}%
\vspace*{5pc}
\Large@title\par\vskip18pt
\normalsize
\ifdoubleblind
\vspace*{2pc}
\else
\elsauthors\par\vskip10pt
{\footnotesize\itshape\elsaddress}\par\vskip12pt
\fi
\vspace*{-\baselineskip}%
\parbox[t]{\textwidth}{%
\parbox[t]{.25\textwidth}{\articleinfobox\[3pt]\hrule}\hfill%
\parbox[t]{0.7\textwidth}{\rule{.6\textwidth}{.2pt}\vskip10pt
\begin{tabular*}{.6\textwidth}{c@{}p{.9\textwidth}}
\hspace*{7pt}&ABSTRACT\[8pt]
\hline\[-8pt]
\end{tabular*}
\hspace*{13.5pt}\parbox[t]{.577\textwidth}{\unhbox\absbox}
\[3pt]\rule{.7\textwidth}{.2pt}%\vskip10pt%
}}%
\end{\elsarticletitlealign}%
%\rule{.6\textwidth}{.2pt}%\vskip10pt%
\vspace*{2pc}
\printFirstPageNotes
}
% Maketitle
\long\def\MaketitleBox{%
\resetTitleCounters
\def\baselinestretch{1}%
\begin{\elsarticletitlealign}%
\def\baselinestretch{1}%
\vspace*{7.5pc}
\Large@title\par\vskip18pt
\normalsize
\ifdoubleblind
\vspace*{2pc}
\else
\elsauthors\par\vskip10pt
{\footnotesize\itshape\elsaddress}\par\vskip12pt
\fi
\vspace*{-\baselineskip}%
\parbox[t]{\textwidth}{%
\parbox[t]{.25\textwidth}{\articleinfobox\[3pt]\hrule}\hfill%
\parbox[t]{0.7\textwidth}{\rule{.7\textwidth}{.2pt}\vskip10pt
\begin{tabular*}{.7\textwidth}{c@{}p{.7\textwidth}}
\hspace*{7pt}&ABSTRACT\[8pt]
\hline\[-8pt]
\end{tabular*}
\hspace*{13.5pt}\parbox[t]{.677\textwidth}{\unhbox\absbox}%
\[3pt]\rule{.7\textwidth}{.2pt}%\vskip10pt%
}}
\end{\elsarticletitlealign}%
\vspace*{2pc}
\printFirstPageNotes
}
\long\def\finalMaketitle{%
\resetTitleCounters
\def\baselinestretch{1}%
\MaketitleBox
\thispagestyle{PRlettersTitle}%
\gdef\thefootnote{\arabic{footnote}}%
}
\def\printFirstPageNotes{%
\def\snm##1{##1}%
\iflongmktitle
\let\columnwidth=\textwidth\fi
\ifdoubleblind
\else
\ifx@tnotes@empty\else@tnotes\fi
\ifx@nonumnotes@empty\else@nonumnotes\fi
\ifx@cornotes@empty\else@cornotes\fi
\ifx@elseads@empty\relax\else
\let\thefootnote\relax
\footnotetext{\ifnum\theead=1\relax
\textit{e-mail:\space}\else
\textit{e-mail:\space}\fi
@elseads}\fi
\ifx@elsuads@empty\relax\else
\let\thefootnote\relax
\footnotetext{\textit{URL:\space}%
@elsuads}\fi
\fi
\ifx@fnotes@empty\else@fnotes\fi
\iflongmktitle\if@twocolumn
\let\columnwidth=\Columnwidth\fi\fi
}
% Abstract
\renewenvironment{abstract}{%
\global\setbox\absbox=\hbox\bgroup%
\hsize=.4\textwidth%
\hskip-1pt}
{\newline
\mbox{}\hfill\copyright\the\year\
ElsevierLtd.Allrightsreserved.\egroup%
}
% Keyword
\def\keyword{%
%\def\sep{\newline}%
\def\sep{\unskip\ignorespaces,\space}%
\def\MSC{@ifnextchar[{@MSC}{@MSC[2000]}}%
% \def@MSC[##1]{\leavevmode\hbox {\it ##1MSC:}\newline}%
\def@MSC[##1]{\leavevmode\hbox {\it ##1MSC:}}%
\def\JEL{\newline\leavevmode\hbox {\it JEL:\space}}%
\def\KWD{%
\vspace*{10pt}\newline
% \leavevmode\hbox {\it Keywords:}\newline}%
{\it Keywords:}}%
\global\setbox\keybox=\hbox\bgroup\hsize=.3\textwidth%
\fontsize{8pt}{10pt}\selectfont%
\parskip\z@%
\noindent%
\ignorespaces}
\def\endkeyword{\egroup}
%% Other customization
% Enumerate
\def\labelenumii{\labelenumi.\arabic{enumii}}
% Caption
\def\figurename{Fig.}
\long\def@makecaption#1#2{%
\vskip\abovecaptionskip\footnotesize\bfseries
\sbox@tempboxa{#1.#2}%
\ifdim \wd@tempboxa >\hsize
#1.#2\par
\else
\global @minipagefalse
\hb@xt@\hsize{\hfil\box@tempboxa\hfil}%
\fi
\vskip\belowcaptionskip}
\AtBeginDocument{\ifpreprint
\advance\baselineskip by 12pt
\fi}
\def\TM{$^{\rm TM}$}
这是我的sty文件，现在在frontmatter中只显示abstract，我该怎么修改让他在articleinfobox上显示article info，最好根据已有代码做出改动
|
2cf282c4302c1ac67b60124354230ecf
|
{
"intermediate": 0.2550952136516571,
"beginner": 0.4584752023220062,
"expert": 0.28642958402633667
}
|
38,639
|
\def\RCSfile{prletters}%
\def\RCSversion{0.1}%
\def\RCSdate{2013/05/13}%
\def@shortjnl{\relax}
\def@journal{Pattern Recognition Letters}
\def@company{Elsevier Ltd}
\def@issn{000-0000}
\def@shortjid{prletters}
\NeedsTeXFormat{LaTeX2e}[1995/12/01]
@ifclassloaded{elsarticle}
{\typeout{elsarticle.cls is loaded…}}
{\errmessage{This package will work only with
elsarticle.cls. So please load elsarticle.cls
and try.}}
\RequirePackage{geometry}
\geometry{twoside,
paperwidth=210mm,
paperheight=280mm,
textheight=693pt,
textwidth=522pt,
inner=15mm,
top=15mm,
headheight=50pt,
headsep=10pt,
footskip=12pt,
footnotesep=28pt plus 2pt minus 6pt,
columnsep=18pt
}
\global\let\bibfont=\footnotesize
\global\bibsep=0pt
\input{fleqn.clo}
\ifpreprint
\else
\global@twocolumntrue
\fi
\usepackage{multirow}
\usepackage{color}
\AtBeginDocument{
\def\elsarticletitlealign{flushleft}
}
%%
\def\snm#1{\textcolor{red}{#1}}
%% Title page header
\def\ps@PRlettersTitle{%
\def@oddhead{
\noindent\parbox[t]
{\textwidth}{
~\hfill\thepage\
\rule{.8\textwidth}{.2pt}\[.8ex]
\includegraphics[scale=.8]{elsevier-logo}
\hfill
\raisebox{14pt}{\parbox{.5\textwidth}%
{\centering {\large Pattern Recognition Letters}\
{\sf journal homepage: www.elsevier.com}}}
\hfill
\hspace*{.15\textwidth}\[-4pt]
\rule{\textwidth}{2pt}
}}
\let@evenhead@empty
\def@oddfoot{}
\let@evenfoot@oddfoot
}
\def\ps@headings{%
\def@oddhead{\mbox{~}\hfill\thepage}
\let@evenhead@oddhead
\let@oddfoot\relax
\let@evenfoot@oddfoot
}
% Header for other than title page.
\pagestyle{myheadings}
% History info
\let@received@empty
\let@finalform@empty
\let@accepted@empty
\let@availableonline@empty
\let@communicated@empty
\def\received#1{\gdef@received{#1}}
\def\finalform#1{\gdef@finalform{#1}}
\def\accepted#1{\gdef@accepted{#1}}
\def\availableonline#1{\gdef@availableonline{#1}}
\def\communicated#1{\gdef@communicated{#1}}
\def\receivedhead{Received}
\def\acceptedhead{Accepted}
\def\finalformhead{Received in final form}
\def\availableonlinehead{Available online}
\def\communicatedhead{Communicated by}
% Article info
\def\articleinfobox{
\parbox[t]{.25\textwidth}{%
\vspace*{0pt}%
\hrule%
\vspace*{6pt}%
\fontsize{8pt}{10pt}\selectfont%
\textit{Article history}:\
\ifx@received@empty\relax
\else
\receivedhead~@received\
\fi
\ifx@finalform@empty\relax
\else
\finalformhead~@finalform\
\fi
\ifx@accepted@empty\relax
\else
\acceptedhead~@accepted\
\fi
\ifx@availableonline@empty\relax
\else
\availableonlinehead~@availableonline
\fi
\ifx@communicated@empty\relax
\[-2pt]
\else
\par
\vspace*{10pt}
\communicatedhead~@communicated
\vspace*{12pt}
\fi
\hrule
\vspace*{1pc}
\unhbox\keybox}
}
% Preprint Maketitle
\long\def\pprintMaketitle{%
\resetTitleCounters
\def\baselinestretch{1}%
\begin{\elsarticletitlealign}%
\def\baselinestretch{1}%
\vspace*{5pc}
\Large@title\par\vskip18pt
\normalsize
\ifdoubleblind
\vspace*{2pc}
\else
\elsauthors\par\vskip10pt
{\footnotesize\itshape\elsaddress}\par\vskip12pt
\fi
\vspace*{-\baselineskip}%
\parbox[t]{\textwidth}{%
\parbox[t]{.25\textwidth}{\articleinfobox\[3pt]\hrule}\hfill%
\parbox[t]{0.7\textwidth}{\rule{.6\textwidth}{.2pt}\vskip10pt
\begin{tabular*}{.6\textwidth}{c@{}p{.9\textwidth}}
\hspace*{7pt}&ABSTRACT\[8pt]
\hline\[-8pt]
\end{tabular*}
\hspace*{13.5pt}\parbox[t]{.577\textwidth}{\unhbox\absbox}
\[3pt]\rule{.7\textwidth}{.2pt}%\vskip10pt%
}}%
\end{\elsarticletitlealign}%
%\rule{.6\textwidth}{.2pt}%\vskip10pt%
\vspace*{2pc}
\printFirstPageNotes
}
% Maketitle
\long\def\MaketitleBox{%
\resetTitleCounters
\def\baselinestretch{1}%
\begin{\elsarticletitlealign}%
\def\baselinestretch{1}%
\vspace*{7.5pc}
\Large@title\par\vskip18pt
\normalsize
\ifdoubleblind
\vspace*{2pc}
\else
\elsauthors\par\vskip10pt
{\footnotesize\itshape\elsaddress}\par\vskip12pt
\fi
\vspace*{-\baselineskip}%
\parbox[t]{\textwidth}{%
\parbox[t]{.25\textwidth}{\articleinfobox\[3pt]\hrule}\hfill%
\parbox[t]{0.7\textwidth}{\rule{.7\textwidth}{.2pt}\vskip10pt
\begin{tabular*}{.7\textwidth}{c@{}p{.7\textwidth}}
\hspace*{7pt}&ABSTRACT\[8pt]
\hline\[-8pt]
\end{tabular*}
\hspace*{13.5pt}\parbox[t]{.677\textwidth}{\unhbox\absbox}%
\[3pt]\rule{.7\textwidth}{.2pt}%\vskip10pt%
}}
\end{\elsarticletitlealign}%
\vspace*{2pc}
\printFirstPageNotes
}
\long\def\finalMaketitle{%
\resetTitleCounters
\def\baselinestretch{1}%
\MaketitleBox
\thispagestyle{PRlettersTitle}%
\gdef\thefootnote{\arabic{footnote}}%
}
\def\printFirstPageNotes{%
\def\snm##1{##1}%
\iflongmktitle
\let\columnwidth=\textwidth\fi
\ifdoubleblind
\else
\ifx@tnotes@empty\else@tnotes\fi
\ifx@nonumnotes@empty\else@nonumnotes\fi
\ifx@cornotes@empty\else@cornotes\fi
\ifx@elseads@empty\relax\else
\let\thefootnote\relax
\footnotetext{\ifnum\theead=1\relax
\textit{e-mail:\space}\else
\textit{e-mail:\space}\fi
@elseads}\fi
\ifx@elsuads@empty\relax\else
\let\thefootnote\relax
\footnotetext{\textit{URL:\space}%
@elsuads}\fi
\fi
\ifx@fnotes@empty\else@fnotes\fi
\iflongmktitle\if@twocolumn
\let\columnwidth=\Columnwidth\fi\fi
}
% Abstract
\renewenvironment{abstract}{%
\global\setbox\absbox=\hbox\bgroup%
\hsize=.4\textwidth%
\hskip-1pt}
{\newline
\mbox{~}\hfill\copyright~\the\year\
Elsevier~Ltd.~All~rights~reserved.\egroup%
}
% Keyword
\def\keyword{%
%\def\sep{\newline}%
\def\sep{\unskip\ignorespaces,\space}%
\def\MSC{@ifnextchar[{@MSC}{@MSC[2000]}}%
% \def@MSC[##1]{\leavevmode\hbox {\it ##1~MSC:}\newline}%
\def@MSC[##1]{\leavevmode\hbox {\it ##1~MSC:}~}%
\def\JEL{\newline\leavevmode\hbox {\it JEL:\space}}%
\def\KWD{%
\vspace*{10pt}\newline
% \leavevmode\hbox {\it Keywords:}\newline}%
{\it Keywords:}~}%
\global\setbox\keybox=\hbox\bgroup\hsize=.3\textwidth%
\fontsize{8pt}{10pt}\selectfont%
\parskip\z@%
\noindent%
\ignorespaces}
\def\endkeyword{\egroup}
%% Other customization
% Enumerate
\def\labelenumii{\labelenumi.\arabic{enumii}}
% Caption
\def\figurename{Fig.}
\long\def@makecaption#1#2{%
\vskip\abovecaptionskip\footnotesize\bfseries
\sbox@tempboxa{#1.~#2}%
\ifdim \wd@tempboxa >\hsize
#1.~#2\par
\else
\global @minipagefalse
\hb@xt@\hsize{\hfil\box@tempboxa\hfil}%
\fi
\vskip\belowcaptionskip}
\AtBeginDocument{\ifpreprint
\advance\baselineskip by 12pt
\fi}
\def\TM{^{\rm TM}}以上sty代码中只显示abstact的标题，我该如何修改使其在显示abstract的同时并列为articleinfo添加标题，根据\hspace*{7pt}&ABSTRACT\[8pt]这一行代码，显示类似的标题，标题内容为article info
|
de12355a76f558426643d2da3bddc581
|
{
"intermediate": 0.25602465867996216,
"beginner": 0.45706701278686523,
"expert": 0.2869083285331726
}
|
38,640
|
class ImageViewer:
def __init__(self, root):
def set_timer_interval(self):
#if self.root.attributes("-topmost", True):
# self.root.attributes("-topmost", False)
if not hasattr(self, 'current_session_timings'): # Make sure the properties exist
self.current_session_timings = []
self.is_session_mode = False
dialog = CustomTimeDialog(self.root, self.current_session_timings, self.is_session_mode)
if dialog.result is not None:
self.is_session_mode = dialog.togsess_mode.get() # Ensure you're accessing the toggled state from the dialog
if self.is_session_mode:
try:
self.current_session_timings = dialog.result
# Session mode is active, dialog.result contains the list of session strings
self.process_session(dialog.result)
# Set the interval to the first session's time
self.timer_interval = self.current_session_list[0][1] * 1000
self.session_image_count = self.current_session_list[0][0]
except IndexError as e:
self.is_session_mode=False
else:
# Session mode is inactive, dialog.result should be a numerical value
interval = dialog.result
if interval < 1: # Check if interval is less than 1 second
interval = 1
self.timer_interval = interval * 1000 # Convert to milliseconds
self.set_timer_interval = self.timer_interval
else:
pass
#self.root.lift() # Bring the main window to the top
self.root.focus_force() # Give focus to the main window
minutes = self.timer_interval // 60000
seconds = (self.timer_interval % 60000) // 1000
if self.timer_interval <=59000:
self.timer_label.config(text=f"{seconds}")
else :
self.timer_label.config(text=f"{minutes:d}:{seconds:02d}")
def process_session(self, session_list):
self.current_session_list = []
for session_str in session_list:
try:
num_pic, time_str = session_str.split(' pic for ')
minutes, seconds = self.parse_time(time_str)
self.current_session_list.append((int(num_pic), minutes * 60 + seconds))
except ValueError as e:
# Handle the error appropriately, e.g., by logging or messaging the user
pass # Or whatever error handling you choose
def parse_time(self, time_str):
splits = time_str.split('m')
minutes = 0
seconds = 0
if len(splits) > 1:
minutes = int(splits[0])
# Check if there is actually a seconds part after splitting by 'm'
seconds_part = splits[1].replace('s', '').strip()
if seconds_part: # If the seconds part is not empty, convert it to an integer
seconds = int(seconds_part)
else:
seconds = int(splits[0].replace('s', '').strip())
return minutes, seconds
def pause_timer(self):
if self.timer is not None:
self.root.after_cancel(self.timer)
self.timer = None
if self.session_active:
self.session_index = 0
self.session_image_count = self.current_session_list[0][1]
self.timer_interval = self.current_session_list[0][1] * 1000
def start_timer(self):
if self.session_completed:
# If the session is completed and the timer is started again, reset the session
self.session_completed = False
self.session_index = 0
self.session_image_count = self.current_session_list[0][0]
self.timer_interval = self.current_session_list[0][1] * 1000
#self.timer_label.config(text="Start again?") # Update the label to indicate a new start
#return
if self.image_folder != "" and not self.is_paused:# and not self.session_completed:
self.update_timer()
if not self.session_completed:
self.timer = self.root.after(1000, self.start_timer)
def update_timer(self):
#if self.session_completed:
# # If the session is completed, display "done" and don't update the timer further
# self.timer_label.config(text="doner")
# return
# Calculate minutes and seconds left
minutes = self.timer_interval // 60000
seconds = (self.timer_interval % 60000) // 1000
if self.timer_interval <=59000:
self.timer_label.config(text=f"{seconds}")
else :
self.timer_label.config(text=f"{minutes:d}:{seconds:02d}")
if self.vol:
if self.timer_interval == 3000:
wave_obj = sa.WaveObject.from_wave_file(self.beep1)
play_obj = wave_obj.play()
play_obj.wait_done()
if self.timer_interval == 2000:
wave_obj = sa.WaveObject.from_wave_file(self.beep1)
play_obj = wave_obj.play()
play_obj.wait_done()
if self.timer_interval == 1000:
wave_obj = sa.WaveObject.from_wave_file(self.beep1)
play_obj = wave_obj.play()
play_obj.wait_done()
if self.timer_interval == 0:
wave_obj = sa.WaveObject.from_wave_file(self.beep2)
play_obj = wave_obj.play()
play_obj.wait_done()
self.timer_interval -= 1000
if self.timer_interval < 0:
self.timer_interval = self.set_timer_interval # Use the stored set timer interval
self.next_image()
def display_image(self):
if self.image_folder != "" and len(self.image_files) > 0:
if self.update_switch_timestamps():
# Show the text of the image name instead of loading the actual image
image_name = self.history[self.history_index]
self.canvas.delete("all") # Clear the canvas
self.canvas.create_text(
self.canvas.winfo_width() // 2,
self.canvas.winfo_height() // 2,
text=image_name,
fill="white"
)
# Schedule the image load with a delay
if self.timer is not None:
self.root.after_cancel(self.timer) # Cancel existing timer to avoid conflicts
self.timer = self.root.after(500, self.load_image_delayed) # Set a new timer to load the image after 500ms
else:
# Load the image normally if not quick-switching
self.current_image_index = self.history[self.history_index]
image_path = os.path.join(self.image_folder, self.current_image_index)
self.path_to_open = image_path
threading.Thread(target=self.load_image, args=(image_path,)).start()
def next_image(self, event=None):
if self.image_folder != "":
if len(self.image_files) == len(self.history):
self.history_index = (self.history_index + 1) % len(self.image_files)
else:
self.add_image_to_history()
self.display_image()
# Reset the timer interval to the stored set timer interval
#self.timer_interval = self.set_timer_interval
if self.is_session_mode and not self.session_completed:
print (self.session_completed)
print (self.session_image_count)
self.session_image_count -= 1
if self.session_image_count <= 0:
# move to the next session item or end the session if it's the last step
if self.session_index < len(self.current_session_list) - 1:
self.session_index += 1
self.session_image_count, interval = self.current_session_list[self.session_index]
self.timer_interval = interval * 1000
else:
# End of the session, update the label and stop the timer
self.timer_label.config(text="done")
#self.pause_timer() # Stops the timer
if not self.is_paused:
#self.start_pause_slideshow()
self.pause_timer()
self.start_button.config(text="Start", **self.button_green)
self.timer_label.configure(bg="green")
self.is_paused = True # Set paused flag to True
self.session_completed = True # Set completion flag
#return # Exit early to avoid resetting the timer below
else:
#show the next image
_, interval = self.current_session_list[self.session_index]
self.timer_interval = interval * 1000
#self.timer_interval = self.current_session_list[0][1] * 1000
print ("what")
elif self.is_session_mode and self.session_completed:
print ("bob")
return
else:
# Reset the timer if session mode is not active or after the session is completed
print ("huh")
self.timer_interval = self.set_timer_interval
def previous_image(self, event=None):
if self.image_folder != "" and self.history_index > 0:
self.history_index -= 1
self.display_image()
# When session is active, control the flow based on session settings
if self.is_session_mode:
current_count, _ = self.current_session_list[self.session_index]
# Move to the previous session step, if it's the first image in the current session step
if self.session_image_count == current_count:
if self.session_index > 0:
self.session_index -= 1
else:
self.session_index = len(self.current_session_list) - 1
_, interval = self.current_session_list[self.session_index]
self.session_image_count = self.current_session_list[self.session_index][0]
self.timer_interval = interval * 1000
else:
self.session_image_count += 1
_, interval = self.current_session_list[self.session_index]
self.timer_interval = interval * 1000
else:
# For regular (non-session) mode, simply reset the timer interval
self.timer_interval = self.set_timer_interval
class CustomTimeDialog(simpledialog.Dialog):
last_set_minutes = 0
last_set_seconds = 30 # Default 30 seconds if no last value set
def __init__(self, parent, current_session_timings=None, is_session_mode=False, **kwargs):
self.sessionlist = []
# Only set defaults if current_session_timings is None or empty
if not current_session_timings: # This checks both None and empty list [] conditions
# Set default initial list here (only if there are no existing session timings)
current_session_timings = ['2 pics for 2s', '3 pics for 1m']
self.current_session_timings = current_session_timings
self.is_session_mode = is_session_mode
super().__init__(parent, **kwargs)
def body(self, master):
self.togsess_mode.set(self.is_session_mode)
if self.is_session_mode:
self.toggle_togsess() # Initialize the state of session elements based on current setting
# Update the Listbox content with the current session timings:
self.sessionString.set(self.current_session_timings)
self.sessionlist = list(self.current_session_timings)
return self.spin_seconds # initial focus
what if i want the imageviewer to show a label saying rest when the parsed text say "rest", for instance if i set the current_session_timings = ['2 pics for 2s', "rest for 5m", '3 pics for 1m']
|
4ab6592b7076269a236ceef2d2f87d58
|
{
"intermediate": 0.36363333463668823,
"beginner": 0.4252837896347046,
"expert": 0.2110828161239624
}
|
38,641
|
how to remove ossim alient vault unresolved alaram at backend
|
da29424103bed718f828a24c9e45c208
|
{
"intermediate": 0.3529583811759949,
"beginner": 0.2558189034461975,
"expert": 0.39122274518013
}
|
38,642
|
what is this javascript:(function(){window.location.href='https://old.reddit.com'+window.location.pathname})();
|
6ee4f47e33d047ff9cfa97f8344bc4b4
|
{
"intermediate": 0.4493277072906494,
"beginner": 0.28580740094184875,
"expert": 0.2648649215698242
}
|
38,643
|
What is this javascript:(function()%7Bwindow.location.href='https://old.reddit.com'+window.location.pathname%7D)();
|
2017549c97a8258a3773eecfc55df9da
|
{
"intermediate": 0.39967113733291626,
"beginner": 0.3673657476902008,
"expert": 0.23296308517456055
}
|
38,644
|
class ImageViewer:
def __init__(self, root):
self.grid_button = tk.Button(self.main_frame, text="#", command=self.toggle_grid)
self.grid_button.configure(**self.button_style_disabled, width=self.button_width)
self.grid_button.pack(side=tk.LEFT, padx=(1,0), pady=0)
ToolTip(self.grid_button, msg="Toggle grid", follow=True,
**self.tooltip_color)
def toggle_grid(self):
grid_types = ["a", "b", "c", "d"]
if not hasattr(self, "grid_type"):
self.grid_type = grid_types[0]
else:
current_index = grid_types.index(self.grid_type)
next_index = (current_index + 1) % len(grid_types)
self.grid_type = grid_types[next_index]
self.display_image()
def draw_grid(self, grid_type, image_width, image_height):
# Calculate center position to center the grid on the image
canvas_width = self.canvas.winfo_width()
canvas_height = self.canvas.winfo_height()
x_center = canvas_width // 2
y_center = canvas_height // 2
# Calculate the top-left corner position of the image
x_start = x_center - (image_width // 2)
y_start = y_center - (image_height // 2)
grid_color = "grey"
if grid_type == "a":
# Draw a simple 3x3 grid
for i in range(1, 3):
self.canvas.create_line(x_start + image_width * i / 3, y_start, x_start + image_width * i / 3, y_start + image_height, fill=grid_color)
self.canvas.create_line(x_start, y_start + image_height * i / 3, x_start + image_width, y_start + image_height * i / 3, fill=grid_color)
elif grid_type == "b":
# Draw a golden ratio grid
gr = (1 + 5 ** 0.5) / 2 # golden ratio
self.canvas.create_line(x_start + image_width / gr, y_start, x_start + image_width / gr, y_start + image_height, fill=grid_color)
self.canvas.create_line(x_start + image_width - (image_width / gr), y_start, x_start + image_width - (image_width / gr), y_start + image_height, fill=grid_color)
self.canvas.create_line(x_start, y_start + image_height / gr, x_start + image_width, y_start + image_height / gr, fill=grid_color)
self.canvas.create_line(x_start, y_start + image_height - (image_height / gr), x_start + image_width, y_start + image_height - (image_height / gr), fill=grid_color)
elif grid_type == "c":
# Draw a 4x4 grid
for i in range(1, 4):
self.canvas.create_line(x_start + image_width * i / 4, y_start, x_start + image_width * i / 4, y_start + image_height, fill=grid_color)
self.canvas.create_line(x_start, y_start + image_height * i / 4, x_start + image_width, y_start + image_height * i / 4, fill=grid_color)
elif grid_type == "d":
pass
def load_image(self, image_path):
image = Image.open(image_path)
# Check if the image has EXIF data
if "exif" in image.info:
try:
exif_data = piexif.load(image.info["exif"])
if piexif.ImageIFD.Orientation in exif_data["0th"]:
orientation = exif_data["0th"][piexif.ImageIFD.Orientation]
if orientation == 3:
image = image.rotate(180, expand=True)
elif orientation == 6:
image = image.rotate(-90, expand=True)
elif orientation == 8:
image = image.rotate(90, expand=True)
except ValueError as e:
pass
if self.is_greyscale:
image = image.convert("L")
if self.is_mirrored:
image = image.transpose(Image.FLIP_LEFT_RIGHT)
if self.rotated != 0:
image = image.rotate(self.rotated, expand=True)
aspect_ratio = image.width / image.height
canvas_width = self.canvas.winfo_width()
canvas_height = self.canvas.winfo_height()
max_width = min(canvas_width, int(aspect_ratio * canvas_height))
max_height = min(canvas_height, int(canvas_width / aspect_ratio))
scale_factor = min(max_width / image.width, max_height / image.height)
new_width = int(image.width * scale_factor)
new_height = int(image.height * scale_factor)
if new_width > 0 and new_height > 0:
resized_image = image.resize((new_width, new_height), Image.BICUBIC)
self.photo = ImageTk.PhotoImage(resized_image)
self.canvas.delete("all")
self.canvas.create_image(canvas_width // 2, canvas_height // 2, image=self.photo)
if self.grid_type:
self.draw_grid(self.grid_type, new_width, new_height)
instead of setting the button to toggle and cycle the grid. make the button open a dialog window that has 4 radio buttons that says no grid, 4x4, 3x3 and golden ratio. below those radiobuttons, put two spinboxes that sets the grid value for x and y set the value to be between 0 to 20 max on each. when the "no grid", 3x3 and 4x4 radiobuttons is pressed, make it set the values of the x and y spinboxes to it's respective state. when the golden ratio radio button is pressed, show G in X spinbox and R in Y spinbox, below that, add a "disable grid" button that immediately update the grid and disable, add an apply button and an ok button. when i press apply, update the grid without exiting the messagebox, when i press ok, close the message box with the set grid. when i press the grid button it should open the "set grid" window. when i set the grid, and press apply or ok it saves the values for the options i picked. when i press the grid button again, it removes the grid. Then if i press grid button when no grid is shown, it opens the set grid window. if i open the set grid window again, it should remember last setting i set it as initial value.
|
4d32117961403f3fefbbdb56d4404f71
|
{
"intermediate": 0.28343522548675537,
"beginner": 0.5987542867660522,
"expert": 0.11781037598848343
}
|
38,645
|
def toggle_grid(self):
grid_types = ["a", "b",]
if not hasattr(self, "grid_type"):
self.grid_type = grid_types[0]
else:
current_index = grid_types.index(self.grid_type)
next_index = (current_index + 1) % len(grid_types)
self.grid_type = grid_types[next_index]
self.display_image()
def draw_grid(self, grid_type, image_width, image_height):
# Calculate center position to center the grid on the image
canvas_width = self.canvas.winfo_width()
canvas_height = self.canvas.winfo_height()
x_center = canvas_width // 2
y_center = canvas_height // 2
# Calculate the top-left corner position of the image
x_start = x_center - (image_width // 2)
y_start = y_center - (image_height // 2)
grid_color = "grey"
if grid_type == "b":
# Draw a simple 3x3 grid
for i in range(1, 3):
self.canvas.create_line(x_start + image_width * i / 3, y_start, x_start + image_width * i / 3, y_start + image_height, fill=grid_color)
self.canvas.create_line(x_start, y_start + image_height * i / 3, x_start + image_width, y_start + image_height * i / 3, fill=grid_color)
elif grid_type == "a":
pass
make it so when i run toggle_grid, it opens a dialog in a new class that has two spinboxes that sets the the grid division instead of just 3x3. below that add 3 buttons, disable grid, apply and ok button. disable grid will set the grid type to "a". the apply button will set the values for the grid division and run display_image to refresh without closing the window while ok button does the same and closes the dialog window.
|
16c402a1034ed0eae3cedbfb15089196
|
{
"intermediate": 0.46727538108825684,
"beginner": 0.22829963266849518,
"expert": 0.30442503094673157
}
|
38,646
|
could you please explain me this code?:
pub fn process_reads<K: Kmer + Sync + Send, P: AsRef<Path> + Debug>(
reader: fastq::Reader<io::BufReader<File>>,
index: &Pseudoaligner<K>,
outdir: P,
num_threads: usize,
) -> Result<(), Error> {
info!("Done Reading index");
info!("Starting Multi-threaded Mapping");
info!("Output directory: {:?}", outdir);
let (tx, rx) = mpsc::sync_channel(num_threads);
let atomic_reader = Arc::new(Mutex::new(reader.records()));
info!("Spawning {} threads for Mapping.\n", num_threads);
scope(|scope| {
for _ in 0..num_threads {
let tx = tx.clone();
let reader = Arc::clone(&atomic_reader);
scope.spawn(move |_| {
loop {
// If work is available, do that work.
match utils::get_next_record(&reader) {
Some(result_record) => {
let record = match result_record {
Ok(record) => record,
Err(err) => panic!("Error {:?} in reading fastq", err),
};
let dna_string = str::from_utf8(record.seq()).unwrap();
let seq = DnaString::from_dna_string(dna_string);
let read_data = index.map_read(&seq);
let wrapped_read_data = match read_data {
Some((eq_class, coverage)) => {
if coverage >= READ_COVERAGE_THRESHOLD && eq_class.is_empty() {
Some((true, record.id().to_owned(), eq_class, coverage))
} else {
Some((false, record.id().to_owned(), eq_class, coverage))
}
}
None => Some((false, record.id().to_owned(), Vec::new(), 0)),
};
tx.send(wrapped_read_data).expect("Could not send data!");
}
None => {
// send None to tell receiver that the queue ended
tx.send(None).expect("Could not send data!");
break;
}
}; //end-match
} // end loop
}); //end-scope
} // end-for
let mut read_counter: usize = 0;
let mut mapped_read_counter: usize = 0;
let mut dead_thread_count = 0;
for eq_class in rx.iter() {
match eq_class {
None => {
dead_thread_count += 1;
if dead_thread_count == num_threads {
drop(tx);
break;
}
}
Some(read_data) => {
println!("{:?}", read_data);
if read_data.0 {
mapped_read_counter += 1;
}
read_counter += 1;
if read_counter % 1_000_000 == 0 {
let frac_mapped = mapped_read_counter as f32 * 100.0 / read_counter as f32;
eprint!(
"\rDone Mapping {} reads w/ Rate: {}",
read_counter, frac_mapped
);
io::stderr().flush().expect("Could not flush stdout");
}
} // end-Some
} // end-match
} // end-for
})
.unwrap(); //end crossbeam
eprintln!();
info!("Done Mapping Reads");
Ok(())
}
|
bad75b2f7559351c31b84964fd789408
|
{
"intermediate": 0.41391560435295105,
"beginner": 0.4855918288230896,
"expert": 0.10049257427453995
}
|
38,647
|
class ImageViewer:
def __init__(self, root):
def toggle_grid(self):
grid_types = ["a", "b",]
if not hasattr(self, "grid_type"):
self.grid_type = grid_types[0]
else:
current_index = grid_types.index(self.grid_type)
next_index = (current_index + 1) % len(grid_types)
self.grid_type = grid_types[next_index]
self.display_image()
def draw_grid(self, grid_type, image_width, image_height):
# Calculate center position to center the grid on the image
canvas_width = self.canvas.winfo_width()
canvas_height = self.canvas.winfo_height()
x_center = canvas_width // 2
y_center = canvas_height // 2
# Calculate the top-left corner position of the image
x_start = x_center - (image_width // 2)
y_start = y_center - (image_height // 2)
grid_color = "grey"
if grid_type == "b":
# Draw a simple 3x3 grid
for i in range(1, 3):
self.canvas.create_line(x_start + image_width * i / 3, y_start, x_start + image_width * i / 3, y_start + image_height, fill=grid_color)
self.canvas.create_line(x_start, y_start + image_height * i / 3, x_start + image_width, y_start + image_height * i / 3, fill=grid_color)
elif grid_type == "a":
pass
def load_image(self, image_path):
image = Image.open(image_path)
# Check if the image has EXIF data
if "exif" in image.info:
try:
exif_data = piexif.load(image.info["exif"])
if piexif.ImageIFD.Orientation in exif_data["0th"]:
orientation = exif_data["0th"][piexif.ImageIFD.Orientation]
if orientation == 3:
image = image.rotate(180, expand=True)
elif orientation == 6:
image = image.rotate(-90, expand=True)
elif orientation == 8:
image = image.rotate(90, expand=True)
except ValueError as e:
pass
if self.is_greyscale:
image = image.convert("L")
if self.is_mirrored:
image = image.transpose(Image.FLIP_LEFT_RIGHT)
if self.rotated != 0:
image = image.rotate(self.rotated, expand=True)
aspect_ratio = image.width / image.height
canvas_width = self.canvas.winfo_width()
canvas_height = self.canvas.winfo_height()
max_width = min(canvas_width, int(aspect_ratio * canvas_height))
max_height = min(canvas_height, int(canvas_width / aspect_ratio))
scale_factor = min(max_width / image.width, max_height / image.height)
new_width = int(image.width * scale_factor)
new_height = int(image.height * scale_factor)
if new_width > 0 and new_height > 0:
resized_image = image.resize((new_width, new_height), Image.BICUBIC)
self.photo = ImageTk.PhotoImage(resized_image)
self.canvas.delete("all")
self.canvas.create_image(canvas_width // 2, canvas_height // 2, image=self.photo)
if self.grid_type:
self.draw_grid(self.grid_type, new_width, new_height)
make it so when i run toggle_grid, it opens a dialog in a new class that has two spinboxes that sets the the grid division instead of just 3x3. below that add 3 buttons, disable grid, apply and ok button. disable grid will set the grid type to “a” and run display_image. the apply button will set the values for the grid division and run display_image to refresh without closing the window while ok button does the same and closes the dialog window. give the new codeblock
|
e2fa0a86c559e22c03c66d729a37b0e1
|
{
"intermediate": 0.2987378239631653,
"beginner": 0.5578831434249878,
"expert": 0.1433791071176529
}
|
38,648
|
this is the code to build an index:
pub fn build_index<K: Kmer + Sync + Send>(
seqs: &[DnaString],
tx_names: &[String],
tx_gene_map: &HashMap<String, String>,
num_threads: usize,
) -> Result<Pseudoaligner<K>, Error> {
// Thread pool Configuration for calling BOOMphf
let pool = rayon::ThreadPoolBuilder::new()
.num_threads(num_threads)
.build()?;
if seqs.len() >= U32_MAX {
panic!("Too many ({}) sequences to handle.", seqs.len());
}
info!("Sharding sequences...");
let mut buckets: Vec<_> = seqs
.iter()
.enumerate()
.flat_map(|(id, seq)| partition_contigs::<K>(seq, id as u32))
.collect();
pool.install(|| {
buckets.par_sort_unstable_by_key(|x| x.0);
});
info!("Got {} sequence chunks", buckets.len());
let summarizer = Arc::new(CountFilterEqClass::new(MIN_KMERS));
let sequence_shards = group_by_slices(&buckets, |x| x.0, MIN_SHARD_SEQUENCES);
info!("Assembling {} shards...", sequence_shards.len());
let shard_dbgs = pool.install(|| {
let mut shard_dbgs = Vec::with_capacity(sequence_shards.len());
sequence_shards
.into_par_iter()
.into_par_iter()
.map_with(summarizer.clone(), |s, strings| {
assemble_shard::<K>(strings, s)
})
.collect_into_vec(&mut shard_dbgs);
shard_dbgs
});
info!("Done dBG construction of shards");
info!("Starting merging disjoint graphs");
let dbg = merge_shard_dbgs(shard_dbgs);
info!("Graph merge complete");
let eq_classes = summarizer.get_eq_classes();
info!("Indexing de Bruijn graph");
let dbg_index = make_dbg_index(&dbg, &pool, num_threads);
Ok(Pseudoaligner::new(
dbg,
eq_classes,
dbg_index,
tx_names.to_owned(),
tx_gene_map.clone(),
))
}
and this is the final output of the tool:
(false, "gencode_small_line15", [0, 1, 30, 25224, 145542, 145543, 145544, 145545, 145546], 60)
(false, "gencode_small_line15_err51", [0, 1, 30, 25224, 145542, 145543, 145544, 145545, 145546], 60)
(false, "gencode_small_line45_err24", [25222], 60)
(false, "gencode_small_line45", [2, 31, 89286, 115458, 145534, 145535, 145536, 145537, 145538, 145539, 145540, 172171, 172172, 172173, 172175, 172176, 172177, 172178], 60)
(false, "gencode_small_line60", [2, 31, 25222, 25223, 145538, 145539, 145540], 60)
(false, "gencode_small_line60_err47", [2, 31, 25222, 25223, 145538, 145539, 145540], 60)
(false, "gencode_small_line75_err48", [4, 89288, 145532], 60)
where (mapped_correctly, read name as in fastq files, eq_classes, coverage)
is it possible to know to which specific transcripts that read mapped?
|
ef7fcd22366164ce94a77c9dbf94d75c
|
{
"intermediate": 0.352327436208725,
"beginner": 0.27756041288375854,
"expert": 0.3701121211051941
}
|
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