row_id
int64 0
48.4k
| init_message
stringlengths 1
342k
| conversation_hash
stringlengths 32
32
| scores
dict |
|---|---|---|---|
34,637
|
embedDataInBlock[block_, dataBit_, mask_, inverseMask_,
luminanceCoefficients_, alpha_] :=
Module[{blockData, flattenB1, flattenB0, lumB1, lumB0, deltaLum,
deltaB, deltaArray},
blockData = ImageData[block, "Byte"];
flattenB1 = Flatten[blockData*mask, 1];
flattenB0 = Flatten[blockData*inverseMask, 1];
lumB1 = Mean[Dot[flattenB1, luminanceCoefficients]];
lumB0 = Mean[Dot[flattenB0, luminanceCoefficients]];
deltaLum = 0;
If[dataBit == 1 && lumB0 - lumB1 <= alpha,
deltaLum = alpha + 1 - (lumB0 - lumB1);
deltaB = deltaLum*luminanceCoefficients;
deltaArray = ConstantArray[deltaB, {8, 8}]*inverseMask;
blockData += deltaArray;];
If[dataBit == 0 && lumB0 - lumB1 >= -alpha,
deltaLum = -alpha - 1 - (lumB0 - lumB1);
deltaB = deltaLum*luminanceCoefficients;
deltaArray = ConstantArray[deltaB, {8, 8}]*inverseMask;
blockData += deltaArray;];
(*Print["Яркость с маской 1: ",lumB1,", Яркость с маской 0: ",
lumB0,", Разница в яркости (deltaLum): ",deltaLum,
", Встраиваемый бит: ",dataBit]*)
Image[Clip[Round[blockData], {0, 255}], "Byte"]];
stegoBlocks = blocks;
Do[If[cvzIndex <= cvzLength,
stegoBlocks[[i, j]] =
embedDataInBlock[stegoBlocks[[i, j]], CVZ[[cvzIndex]], mask,
inverseMask, luminanceCoefficients, alpha];
cvzIndex++;], {j, Length[stegoBlocks[[1]]]}, {i,
Length[stegoBlocks]}];
stegoImage1 = ImageAssemble[stegoBlocks]; исправь стего путь на Последовательно, непрерывно,
по строкам.
|
8a1da37998797e211c2621f4ca1239e5
|
{
"intermediate": 0.2785486876964569,
"beginner": 0.37408778071403503,
"expert": 0.34736353158950806
}
|
34,638
|
#include <iostream>
struct Node{
char letter;
int freq;
Node* left = nullptr;
Node* right = nullptr;
};
struct MinHeap{
int size;
int capacity;
Node** arr;
};
void SiftDown(MinHeap* minHeap, int i) {
int j = i;
int left = 2 * i + 1;
int right = 2 * i + 2;
if (left < minHeap->size && minHeap->arr[left]->freq < minHeap->arr[j]->freq) {
j = left;
}
if (right < minHeap->size && minHeap->arr[right]->freq < minHeap->arr[j]->freq) {
j = right;
}
if (j != i) {
Node* temp = minHeap->arr[j];
*minHeap->arr[j] = *minHeap->arr[i];
*minHeap->arr[i] = *temp;
SiftDown(minHeap, j);
}
}
void SiftUp(MinHeap* minHeap) {
int n = minHeap->size - 1;
int i;
for (i = n / 2 - 1; i >= 0; --i) {
SiftDown(minHeap, i);
}
}
MinHeap* HaffmanBuild(int freq[], char letters[], int size) {
MinHeap* minHeap = new MinHeap();
minHeap->size = 0;
minHeap->capacity = size;
for (int i = 0; i < size; ++i) {
minHeap->arr[i] = new Node();
minHeap->arr[i]->freq = freq[i];
minHeap->arr[i]->letter = letters[i];
}
minHeap->size = size;
SiftUp(minHeap);
return minHeap;
}
Node* ExtractMin(MinHeap* minHeap) {
Node* temp = minHeap->arr[0];
minHeap->arr[0] = minHeap->arr[minHeap->size - 1];
--minHeap->size;
SiftDown(minHeap, 0);
return temp;
}
void Insert(MinHeap* minHeap, Node* temp) {
++minHeap->size;
int i = minHeap->size - 1;
while (i && temp->freq < minHeap->arr[(i - 1) / 2]->freq) {
minHeap->arr[i] = minHeap->arr[(i - 1) / 2];
i = (i - 1) / 2;
}
minHeap->arr[i] = temp;
}
Node* Build(int freq[], char letters[], int size) {
MinHeap* minHeap = HaffmanBuild(freq, letters, size);
while (minHeap->size != 1) {
Node* left = ExtractMin(minHeap);
Node* right = ExtractMin(minHeap);
Node* parent = new Node();
parent->freq = left->freq + right->freq;
parent->left = left;
parent->right = right;
Insert(minHeap, parent);
}
return ExtractMin(minHeap);
}
void printArr(std::string str, int n)
{
int i;
for (i = 0; i < n; ++i)
std::cout << str;
std::cout << "\n";
}
void printCodes(struct Node* root, std::string str,
int top)
{
// Assign 0 to left edge and recur
if (root->left) {
printCodes(root->left, str + "0", top + 1);
}
// Assign 1 to right edge and recur
if (root->right) {
printCodes(root->right, str + "1", top + 1);
}
// If this is a leaf node, then
// it contains one of the input
// characters, print the character
// and its code from arr[]
if (!(root->left) && !(root->right)) {
std::cout << root->letter << ": ";
printArr(str, top);
}
}
int main() {
std::string s;
std::cin >> s;
int frequency[26] = {0};
char letters[26] = {""};
for (int i = 0; i < s.length(); ++i) {
frequency[s[i] - 'a'] += 1;
letters[s[i] - 'a'] = s[i];
}
/*for (int i = 0; i < 26; ++i) {
std::cout << frequency[i] << " " << letters[i] << '\n';
}*/
int size = sizeof(letters) / sizeof(letters[0]);
Node* root = Build(frequency, letters, size);
printCodes(root, "", 0);
return 0;
}
why when input is daccaba it returns Process finished with exit code 139 (interrupted by signal 11: SIGSEGV) instead of the codes of each letter
|
f05c096db9ebbcf9cea954d08a1fe553
|
{
"intermediate": 0.26208072900772095,
"beginner": 0.4396699368953705,
"expert": 0.29824936389923096
}
|
34,639
|
Write a bash script to find a share abc mounted and change to 123
|
9906ccdbc67e9f5f2e4ea2fa559061a7
|
{
"intermediate": 0.37375113368034363,
"beginner": 0.25607216358184814,
"expert": 0.370176762342453
}
|
34,640
|
make a regexp for finding hardcoded secrets
|
062524a9962d6c87d48848b3a2f7ae57
|
{
"intermediate": 0.22302155196666718,
"beginner": 0.23730550706386566,
"expert": 0.5396729707717896
}
|
34,641
|
anything I should contribute to this library?
import time
import os
RED = "\x1b[31;1m"
GREEN = "\x1b[32;1m"
GRAY = "\x1b[38;5;244m"
YELLOW = "\x1b[33m"
PURPLE = "\x1b[35m"
ORANGE = "\x1b[38;5;202m"
RESET = "\x1b[0m"
def log_suc(text: str, fields = []):
now = time.localtime()
current_time = time.strftime("%H:%M:%S", now)
msg = f"{YELLOW}{current_time}{RESET} {GREEN}SUC{RESET} {text}"
for field in fields:
msg = f"{msg} {PURPLE}{field[0]}: {RESET}{field[1]} "
print(msg)
def log_err(text: str, fields = []):
now = time.localtime()
current_time = time.strftime("%H:%M:%S", now)
msg = f"{YELLOW}{current_time}{RESET} {RED}ERR{RESET} {text}"
for field in fields:
msg = f"{msg} {PURPLE}{field[0]}: {RESET}{field[1]} "
print(msg)
def log_dbg(text: str, fields = []):
now = time.localtime()
current_time = time.strftime("%H:%M:%S", now)
msg = f"{YELLOW}{current_time}{RESET} {GRAY}DBG{RESET} {text}"
for field in fields:
msg = f"{msg} {PURPLE}{field[0]}: {RESET}{field[1]} "
print(msg)
def log_wrn(text: str, fields = []):
now = time.localtime()
current_time = time.strftime("%H:%M:%S", now)
msg = f"{YELLOW}{current_time}{RESET} {ORANGE}WRN{RESET} {text}"
for field in fields:
msg = f"{msg} {PURPLE}{field[0]}: {RESET}{field[1]} "
print(msg)
def clear_terminal():
if os.name == 'nt':
os.system('cls')
else:
os.system('clear')
if __name__ == "__main__":
log_suc("Text", [["field1", "data"], ["field2", "data"]])
log_err("Text", [["field1", "data"], ["field2", "data"]])
log_dbg("Text", [["field1", "data"], ["field2", "data"]])
log_wrn("Text", [["field1", "data"], ["field2", "data"]])
|
f87a6e6027bdc0df3d29f2c793f85af2
|
{
"intermediate": 0.518215537071228,
"beginner": 0.3476516902446747,
"expert": 0.1341327577829361
}
|
34,642
|
embedDataInBlock[block_, dataBit_, mask_, inverseMask_,
luminanceCoefficients_, alpha_] :=
Module[{blockData, flattenB1, flattenB0, lumB1, lumB0, deltaLum,
deltaB, deltaArray},
blockData = ImageData[block, "Byte"];
flattenB1 = Flatten[blockData*mask, 1];
flattenB0 = Flatten[blockData*inverseMask, 1];
lumB1 = Mean[Dot[flattenB1, luminanceCoefficients]];
lumB0 = Mean[Dot[flattenB0, luminanceCoefficients]];
deltaLum = 0;
If[dataBit == 1 && lumB0 - lumB1 <= alpha,
deltaLum = alpha + 1 - (lumB0 - lumB1);
deltaB = deltaLum*luminanceCoefficients;
deltaArray = ConstantArray[deltaB, {8, 8}]*inverseMask;
blockData += deltaArray;];
If[dataBit == 0 && lumB0 - lumB1 >= -alpha,
deltaLum = -alpha - 1 - (lumB0 - lumB1);
deltaB = deltaLum*luminanceCoefficients;
deltaArray = ConstantArray[deltaB, {8, 8}]*inverseMask;
blockData += deltaArray;];
(*Print["Яркость с маской 1: ",lumB1,", Яркость с маской 0: ",
lumB0,", Разница в яркости (deltaLum): ",deltaLum,
", Встраиваемый бит: ",dataBit]*)
Image[Clip[Round[blockData], {0, 255}], "Byte"]];
stegoBlocks = blocks;
Do[If[cvzIndex <= cvzLength,
stegoBlocks[[i, j]] =
embedDataInBlock[stegoBlocks[[i, j]], CVZ[[cvzIndex]], mask,
inverseMask, luminanceCoefficients, alpha];
cvzIndex++;], {j, Length[stegoBlocks[[1]]]}, {i,
Length[stegoBlocks]}];
stegoImage1 = ImageAssemble[stegoBlocks]; исправь стего путь на Последовательно, непрерывно,
по строкам.
|
1b1cefbf609a44aea97f0b265e83cc0e
|
{
"intermediate": 0.2785486876964569,
"beginner": 0.37408778071403503,
"expert": 0.34736353158950806
}
|
34,643
|
how good are you?
|
a17dda7b46d16c9625a3540823992f0a
|
{
"intermediate": 0.34934383630752563,
"beginner": 0.25071799755096436,
"expert": 0.39993816614151
}
|
34,644
|
embedDataInBlock[block_, dataBit_, mask_, inverseMask_,
luminanceCoefficients_, alpha_] :=
Module[{blockData, flattenB1, flattenB0, lumB1, lumB0, deltaLum,
deltaB, deltaArray},
blockData = ImageData[block, “Byte”];
flattenB1 = Flatten[blockDatamask, 1];
flattenB0 = Flatten[blockDatainverseMask, 1];
lumB1 = Mean[Dot[flattenB1, luminanceCoefficients]];
lumB0 = Mean[Dot[flattenB0, luminanceCoefficients]];
deltaLum = 0;
If[dataBit == 1 && lumB0 - lumB1 <= alpha,
deltaLum = alpha + 1 - (lumB0 - lumB1);
deltaB = deltaLum*luminanceCoefficients;
deltaArray = ConstantArray[deltaB, {8, 8}]inverseMask;
blockData += deltaArray;];
If[dataBit == 0 && lumB0 - lumB1 >= -alpha,
deltaLum = -alpha - 1 - (lumB0 - lumB1);
deltaB = deltaLumluminanceCoefficients;
deltaArray = ConstantArray[deltaB, {8, 8}]*inverseMask;
blockData += deltaArray;];
(Print["Яркость с маской 1: “,lumB1,”, Яркость с маской 0: “,
lumB0,”, Разница в яркости (deltaLum): ",deltaLum,
", Встраиваемый бит: ",dataBit])
Do[If[cvzIndex <= cvzLength,
stegoBlocks[[i, j]] =
embedDataInBlock[stegoBlocks[[i, j]], CVZ[[cvzIndex]], mask,
inverseMask, luminanceCoefficients, alpha];
cvzIndex++;], {i, Length[stegoBlocks[[1]]]}, {j,
Length[stegoBlocks]}]; сделай такой же код но оригинальный
|
ca69a1ef7d72ba1fefdf544448637502
|
{
"intermediate": 0.31524062156677246,
"beginner": 0.46832770109176636,
"expert": 0.21643170714378357
}
|
34,645
|
/*
* Copyright (c) 2010-2011, The MiCode Open Source Community (www.micode.net)
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package net.micode.notes.data;
import android.net.Uri;
public class Notes {
public static final String AUTHORITY = "micode_notes";
public static final String TAG = "Notes";
public static final int TYPE_NOTE = 0;
public static final int TYPE_FOLDER = 1;
public static final int TYPE_SYSTEM = 2;
/**
* Following IDs are system folders' identifiers
* {@link Notes#ID_ROOT_FOLDER } is default folder
* {@link Notes#ID_TEMPARAY_FOLDER } is for notes belonging no folder
* {@link Notes#ID_CALL_RECORD_FOLDER} is to store call records
*/
public static final int ID_ROOT_FOLDER = 0;
public static final int ID_TEMPARAY_FOLDER = -1;
public static final int ID_CALL_RECORD_FOLDER = -2;
public static final int ID_TRASH_FOLER = -3;
public static final String INTENT_EXTRA_ALERT_DATE = "net.micode.notes.alert_date";
public static final String INTENT_EXTRA_BACKGROUND_ID = "net.micode.notes.background_color_id";
public static final String INTENT_EXTRA_WIDGET_ID = "net.micode.notes.widget_id";
public static final String INTENT_EXTRA_WIDGET_TYPE = "net.micode.notes.widget_type";
public static final String INTENT_EXTRA_FOLDER_ID = "net.micode.notes.folder_id";
public static final String INTENT_EXTRA_CALL_DATE = "net.micode.notes.call_date";
public static final int TYPE_WIDGET_INVALIDE = -1;
public static final int TYPE_WIDGET_2X = 0;
public static final int TYPE_WIDGET_4X = 1;
public static class DataConstants {
public static final String NOTE = TextNote.CONTENT_ITEM_TYPE;
public static final String CALL_NOTE = CallNote.CONTENT_ITEM_TYPE;
}
/**
* Uri to query all notes and folders
*/
public static final Uri CONTENT_NOTE_URI = Uri.parse("content://" + AUTHORITY + "/note");
/**
* Uri to query data
*/
public static final Uri CONTENT_DATA_URI = Uri.parse("content://" + AUTHORITY + "/data");
public interface NoteColumns {
/**
* The unique ID for a row
* <P> Type: INTEGER (long) </P>
*/
public static final String ID = "_id";
/**
* The parent's id for note or folder
* <P> Type: INTEGER (long) </P>
*/
public static final String PARENT_ID = "parent_id";
/**
* Created data for note or folder
* <P> Type: INTEGER (long) </P>
*/
public static final String CREATED_DATE = "created_date";
/**
* Latest modified date
* <P> Type: INTEGER (long) </P>
*/
public static final String MODIFIED_DATE = "modified_date";
/**
* Alert date
* <P> Type: INTEGER (long) </P>
*/
public static final String ALERTED_DATE = "alert_date";
/**
* Folder's name or text content of note
* <P> Type: TEXT </P>
*/
public static final String SNIPPET = "snippet";
/**
* Note's widget id
* <P> Type: INTEGER (long) </P>
*/
public static final String WIDGET_ID = "widget_id";
/**
* Note's widget type
* <P> Type: INTEGER (long) </P>
*/
public static final String WIDGET_TYPE = "widget_type";
/**
* Note's background color's id
* <P> Type: INTEGER (long) </P>
*/
public static final String BG_COLOR_ID = "bg_color_id";
/**
* For text note, it doesn't has attachment, for multi-media
* note, it has at least one attachment
* <P> Type: INTEGER </P>
*/
public static final String HAS_ATTACHMENT = "has_attachment";
/**
* Folder's count of notes
* <P> Type: INTEGER (long) </P>
*/
public static final String NOTES_COUNT = "notes_count";
/**
* The file type: folder or note
* <P> Type: INTEGER </P>
*/
public static final String TYPE = "type";
/**
* The last sync id
* <P> Type: INTEGER (long) </P>
*/
public static final String SYNC_ID = "sync_id";
/**
* Sign to indicate local modified or not
* <P> Type: INTEGER </P>
*/
public static final String LOCAL_MODIFIED = "local_modified";
/**
* Original parent id before moving into temporary folder
* <P> Type : INTEGER </P>
*/
public static final String ORIGIN_PARENT_ID = "origin_parent_id";
/**
* The gtask id
* <P> Type : TEXT </P>
*/
public static final String GTASK_ID = "gtask_id";
/**
* The version code
* <P> Type : INTEGER (long) </P>
*/
public static final String VERSION = "version";
}
public interface DataColumns {
/**
* The unique ID for a row
* <P> Type: INTEGER (long) </P>
*/
public static final String ID = "_id";
/**
* The MIME type of the item represented by this row.
* <P> Type: Text </P>
*/
public static final String MIME_TYPE = "mime_type";
/**
* The reference id to note that this data belongs to
* <P> Type: INTEGER (long) </P>
*/
public static final String NOTE_ID = "note_id";
/**
* Created data for note or folder
* <P> Type: INTEGER (long) </P>
*/
public static final String CREATED_DATE = "created_date";
/**
* Latest modified date
* <P> Type: INTEGER (long) </P>
*/
public static final String MODIFIED_DATE = "modified_date";
/**
* Data's content
* <P> Type: TEXT </P>
*/
public static final String CONTENT = "content";
/**
* Generic data column, the meaning is {@link #MIMETYPE} specific, used for
* integer data type
* <P> Type: INTEGER </P>
*/
public static final String DATA1 = "data1";
/**
* Generic data column, the meaning is {@link #MIMETYPE} specific, used for
* integer data type
* <P> Type: INTEGER </P>
*/
public static final String DATA2 = "data2";
/**
* Generic data column, the meaning is {@link #MIMETYPE} specific, used for
* TEXT data type
* <P> Type: TEXT </P>
*/
public static final String DATA3 = "data3";
/**
* Generic data column, the meaning is {@link #MIMETYPE} specific, used for
* TEXT data type
* <P> Type: TEXT </P>
*/
public static final String DATA4 = "data4";
/**
* Generic data column, the meaning is {@link #MIMETYPE} specific, used for
* TEXT data type
* <P> Type: TEXT </P>
*/
public static final String DATA5 = "data5";
}
public static final class TextNote implements DataColumns {
/**
* Mode to indicate the text in check list mode or not
* <P> Type: Integer 1:check list mode 0: normal mode </P>
*/
public static final String MODE = DATA1;
public static final int MODE_CHECK_LIST = 1;
public static final String CONTENT_TYPE = "vnd.android.cursor.dir/text_note";
public static final String CONTENT_ITEM_TYPE = "vnd.android.cursor.item/text_note";
public static final Uri CONTENT_URI = Uri.parse("content://" + AUTHORITY + "/text_note");
}
public static final class CallNote implements DataColumns {
/**
* Call date for this record
* <P> Type: INTEGER (long) </P>
*/
public static final String CALL_DATE = DATA1;
/**
* Phone number for this record
* <P> Type: TEXT </P>
*/
public static final String PHONE_NUMBER = DATA3;
public static final String CONTENT_TYPE = "vnd.android.cursor.dir/call_note";
public static final String CONTENT_ITEM_TYPE = "vnd.android.cursor.item/call_note";
public static final Uri CONTENT_URI = Uri.parse("content://" + AUTHORITY + "/call_note");
}
}
绘制类图
|
b818908168e3a633b2cf50ebcbc1a75b
|
{
"intermediate": 0.3693017065525055,
"beginner": 0.4237077236175537,
"expert": 0.206990584731102
}
|
34,646
|
/*
* Copyright © 2010-2011, The MiCode Open Source Community (www.micode.net)
*
* Licensed under the Apache License, Version 2.0 (the “License”);
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an “AS IS” BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package net.micode.notes.data;
import android.net.Uri;
public class Notes {
public static final String AUTHORITY = “micode_notes”;
public static final String TAG = “Notes”;
public static final int TYPE_NOTE = 0;
public static final int TYPE_FOLDER = 1;
public static final int TYPE_SYSTEM = 2;
/
* Following IDs are system folders’ identifiers
* {@link Notes#ID_ROOT_FOLDER } is default folder
* {@link Notes#ID_TEMPARAY_FOLDER } is for notes belonging no folder
* {@link Notes#ID_CALL_RECORD_FOLDER} is to store call records
*/
public static final int ID_ROOT_FOLDER = 0;
public static final int ID_TEMPARAY_FOLDER = -1;
public static final int ID_CALL_RECORD_FOLDER = -2;
public static final int ID_TRASH_FOLER = -3;
public static final String INTENT_EXTRA_ALERT_DATE = “net.micode.notes.alert_date”;
public static final String INTENT_EXTRA_BACKGROUND_ID = “net.micode.notes.background_color_id”;
public static final String INTENT_EXTRA_WIDGET_ID = “net.micode.notes.widget_id”;
public static final String INTENT_EXTRA_WIDGET_TYPE = “net.micode.notes.widget_type”;
public static final String INTENT_EXTRA_FOLDER_ID = “net.micode.notes.folder_id”;
public static final String INTENT_EXTRA_CALL_DATE = “net.micode.notes.call_date”;
public static final int TYPE_WIDGET_INVALIDE = -1;
public static final int TYPE_WIDGET_2X = 0;
public static final int TYPE_WIDGET_4X = 1;
public static class DataConstants {
public static final String NOTE = TextNote.CONTENT_ITEM_TYPE;
public static final String CALL_NOTE = CallNote.CONTENT_ITEM_TYPE;
}
/
* Uri to query all notes and folders
*/
public static final Uri CONTENT_NOTE_URI = Uri.parse(“content://” + AUTHORITY + “/note”);
/
* Uri to query data
*/
public static final Uri CONTENT_DATA_URI = Uri.parse(“content://” + AUTHORITY + “/data”);
public interface NoteColumns {
/
* The unique ID for a row
* <P> Type: INTEGER (long) </P>
*/
public static final String ID = “_id”;
/
* The parent’s id for note or folder
* <P> Type: INTEGER (long) </P>
*/
public static final String PARENT_ID = “parent_id”;
/
* Created data for note or folder
* <P> Type: INTEGER (long) </P>
*/
public static final String CREATED_DATE = “created_date”;
/
* Latest modified date
* <P> Type: INTEGER (long) </P>
*/
public static final String MODIFIED_DATE = “modified_date”;
/
* Alert date
* <P> Type: INTEGER (long) </P>
*/
public static final String ALERTED_DATE = “alert_date”;
/
* Folder’s name or text content of note
* <P> Type: TEXT </P>
*/
public static final String SNIPPET = “snippet”;
/
* Note’s widget id
* <P> Type: INTEGER (long) </P>
*/
public static final String WIDGET_ID = “widget_id”;
/
* Note’s widget type
* <P> Type: INTEGER (long) </P>
*/
public static final String WIDGET_TYPE = “widget_type”;
/
* Note’s background color’s id
* <P> Type: INTEGER (long) </P>
*/
public static final String BG_COLOR_ID = “bg_color_id”;
/
* For text note, it doesn’t has attachment, for multi-media
* note, it has at least one attachment
* <P> Type: INTEGER </P>
*/
public static final String HAS_ATTACHMENT = “has_attachment”;
/
* Folder’s count of notes
* <P> Type: INTEGER (long) </P>
*/
public static final String NOTES_COUNT = “notes_count”;
/
* The file type: folder or note
* <P> Type: INTEGER </P>
*/
public static final String TYPE = “type”;
/
* The last sync id
* <P> Type: INTEGER (long) </P>
*/
public static final String SYNC_ID = “sync_id”;
/
* Sign to indicate local modified or not
* <P> Type: INTEGER </P>
*/
public static final String LOCAL_MODIFIED = “local_modified”;
/
* Original parent id before moving into temporary folder
* <P> Type : INTEGER </P>
*/
public static final String ORIGIN_PARENT_ID = “origin_parent_id”;
/
* The gtask id
* <P> Type : TEXT </P>
*/
public static final String GTASK_ID = “gtask_id”;
/
* The version code
* <P> Type : INTEGER (long) </P>
*/
public static final String VERSION = “version”;
}
public interface DataColumns {
/
* The unique ID for a row
* <P> Type: INTEGER (long) </P>
*/
public static final String ID = “_id”;
/
* The MIME type of the item represented by this row.
* <P> Type: Text </P>
*/
public static final String MIME_TYPE = “mime_type”;
/
* The reference id to note that this data belongs to
* <P> Type: INTEGER (long) </P>
*/
public static final String NOTE_ID = “note_id”;
/
* Created data for note or folder
* <P> Type: INTEGER (long) </P>
*/
public static final String CREATED_DATE = “created_date”;
/
* Latest modified date
* <P> Type: INTEGER (long) </P>
*/
public static final String MODIFIED_DATE = “modified_date”;
/
* Data’s content
* <P> Type: TEXT </P>
*/
public static final String CONTENT = “content”;
/
* Generic data column, the meaning is {@link #MIMETYPE} specific, used for
* integer data type
* <P> Type: INTEGER </P>
*/
public static final String DATA1 = “data1”;
/
* Generic data column, the meaning is {@link #MIMETYPE} specific, used for
* integer data type
* <P> Type: INTEGER </P>
*/
public static final String DATA2 = “data2”;
/
* Generic data column, the meaning is {@link #MIMETYPE} specific, used for
* TEXT data type
* <P> Type: TEXT </P>
*/
public static final String DATA3 = “data3”;
/
* Generic data column, the meaning is {@link #MIMETYPE} specific, used for
* TEXT data type
* <P> Type: TEXT </P>
*/
public static final String DATA4 = “data4”;
/
* Generic data column, the meaning is {@link #MIMETYPE} specific, used for
* TEXT data type
* <P> Type: TEXT </P>
*/
public static final String DATA5 = “data5”;
}
public static final class TextNote implements DataColumns {
/
* Mode to indicate the text in check list mode or not
* <P> Type: Integer 1:check list mode 0: normal mode </P>
*/
public static final String MODE = DATA1;
public static final int MODE_CHECK_LIST = 1;
public static final String CONTENT_TYPE = “vnd.android.cursor.dir/text_note”;
public static final String CONTENT_ITEM_TYPE = “vnd.android.cursor.item/text_note”;
public static final Uri CONTENT_URI = Uri.parse(“content://” + AUTHORITY + “/text_note”);
}
public static final class CallNote implements DataColumns {
/
* Call date for this record
* <P> Type: INTEGER (long) </P>
*/
public static final String CALL_DATE = DATA1;
/
* Phone number for this record
* <P> Type: TEXT </P>
*/
public static final String PHONE_NUMBER = DATA3;
public static final String CONTENT_TYPE = “vnd.android.cursor.dir/call_note”;
public static final String CONTENT_ITEM_TYPE = “vnd.android.cursor.item/call_note”;
public static final Uri CONTENT_URI = Uri.parse(“content://” + AUTHORITY + “/call_note”);
}
}
总结puml生成类图代码，中文回答
|
e35f570ecd7c7121f3101af1a0a94380
|
{
"intermediate": 0.32608070969581604,
"beginner": 0.33316877484321594,
"expert": 0.340750515460968
}
|
34,647
|
#include <iostream>
#include <string>
struct Node {
int data;
Node* left;
Node* right;
int height;
};
struct BST {
Node* top = nullptr;
Node* CreateNode(int value) {
Node* newNode = new Node;
newNode->data = value;
newNode->height = 1;
newNode->left = newNode->right = nullptr;
return newNode;
}
Node* Insert(Node* node, int value) {
if (node == nullptr) return CreateNode(value);
if (value < node->data) {
node->left = Insert(node->left, value);
} else if (value > node->data) {
node->right = Insert(node->right, value);
}
node->height = 1 + std::max(node->left ? node->left->height : 0, node->right ? node->right->height : 0);
return node;
}
int Find(int value) {
Node* current = top;
while (current != nullptr) {
if (value == current->data) {
return current->height;
}
current = (value > current->data) ? current->right : current->left;
}
return -1;
}
};
int main() {
BST bst;
Node* top;
std::string str;
std::cin >> str;
for (int i = 0; i < str.length(); ++i) {
bst.top = bst.Insert(top, str[i] - 'a');
}
int length = 0;
for (int i = 0; i < str.length(); ++i) {
length += bst.Find(str[i] - 'a');
}
std::cout << length;
}
❯ ./main
daccaba
[1] 28909 segmentation fault ./main
исправь
|
8eedf6c0826fe750ce450c2daaf560db
|
{
"intermediate": 0.3539946675300598,
"beginner": 0.34526145458221436,
"expert": 0.30074387788772583
}
|
34,648
|
Please use OpenMP pragmas to parallelize this code:
int main(int argc, char** argv) {
int partial_Sum, total_Sum;
total_Sum = 0;
int thread_id = omp_get_thread_num();
int num_threads = omp_get_num_threads();
partial_Sum = 0;
for (int i = thread_id * 1000 / num_threads ; i < ((thread_id + 1) * 1000 / num_threads); i++) {
partial_Sum += i;
}
total_Sum += partial_Sum;
printf("Total sum: %d", total_Sum);
return 0;
}
|
b2c3dbd4f3fc3da9a3540bd0de2ce863
|
{
"intermediate": 0.3782568871974945,
"beginner": 0.4398294687271118,
"expert": 0.18191370368003845
}
|
34,649
|
I am using windows 11 and i'm trying to open uac controls and nothing launches. i have the shortcut in my start menu, but it doesn't open.
|
99e06e690956784e796cc4ac11212e79
|
{
"intermediate": 0.3029994070529938,
"beginner": 0.3104536235332489,
"expert": 0.3865469992160797
}
|
34,650
|
How can I make a static html, css, and js website that displays MD content
|
77235a6a4138acedf6af1f57a08ec4e2
|
{
"intermediate": 0.4367886185646057,
"beginner": 0.33016717433929443,
"expert": 0.23304419219493866
}
|
34,651
|
I have a doubt regarding promise in javascript, if i say
let x = new Promise((resolve) => {
let value = callAPI();
if(value) { reslove(value)};
});
will let value = callAPI() wait till getting response from server?
|
4a708ea9f20edafc7547f3708c868324
|
{
"intermediate": 0.7931191325187683,
"beginner": 0.1357988566160202,
"expert": 0.07108195126056671
}
|
34,652
|
$product get no discount prices how to The process of calculating discounts on your own when you receive a shopping cart through the API or receive a shopping cart through the API with all discounts, coupons and shopping cart rules already applied.
<h2>Товары в корзине:</h2>
<table class="table">
<thead>
<tr>
<th></th>
<th>Имя</th>
<th>Количество</th>
<th>Цена</th>
<th>Скидка</th>
<th></th> <!-- New column for the button -->
</tr>
</thead>
<tbody>
<?php
$arResult['TOTAL_PRICE'] = 0;
foreach ($arResult['PRODUCTS'] as $key => $product):
$productId = $product['PRODUCT_ID'];
$elementId = null; // Initialize elementId as null
$productName = $product['NAME'];
$elementQuery = \CIBlockElement::GetList([], ['IBLOCK_ID' => 2, '=NAME' => $productName], false, false, ['ID', 'DETAIL_PICTURE']);
if ($element = $elementQuery->Fetch()) {
$elementId = $element['ID'];
$photoId = $element['DETAIL_PICTURE'];
}
// Get the MORE_PHOTO property for the product
?>
<tr>
<td>
<img src="<?= CFile::GetPath($photoId)??"/images/empty.png"?>" alt="<?= $product['NAME'] ?>" class="product-image" width="60" height="60">
</td>
<td><?= $product['NAME'] ?></td>
<td>
<div class="quantity-input">
<input type="hidden" value="<?= $product['QUANTITY'] ?>" readonly>
<button class="minus-btn btn btn-primary" data-key="<?= $key ?>"><i class="fas fa-minus"></i></button>
<span class="quantity rounded-integer" data-key="<?= $key ?>"><?= round($product['QUANTITY']) ?></span>
<button class="plus-btn btn btn-primary" data-key="<?= $key ?>"><i class="fas fa-plus"></i></button>
</div>
</td>
<td>
<?php
$product['LOL'] = $product['BASE_PRICE'] * $product['QUANTITY'];
$arResult['TOTAL_PRICE'] += $product['LOL'];
echo number_format($product['LOL'], 2, '.', ' ') . ' руб.';
?>
</td>
<td><?php if ($product['DISCOUNT_PRICE'] > 0) { echo $product['DISCOUNT_PRICE'] . ' руб.'; } ?></td>
<td>
<form action="/basket/delete_product.php" method="POST">
<input type="hidden" name="productId" value="<?= $productId ?>">
<input type="hidden" name="key" value="<?= $key ?>">
<button type="submit" class="btn btn-danger delete-btn">
<i class="fas fa-times"></i> <!-- Add a red cross icon -->
</button>
</form>
</td>
</tr>
<?php endforeach; ?>
</tbody>
</table>
|
605486b482aa75f537259c167f429267
|
{
"intermediate": 0.3849234879016876,
"beginner": 0.42866986989974976,
"expert": 0.186406672000885
}
|
34,653
|
/*
* Copyright © 2010-2011, The MiCode Open Source Community (www.micode.net)
*
* Licensed under the Apache License, Version 2.0 (the “License”);
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an “AS IS” BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package net.micode.notes.data;
import android.net.Uri;
public class Notes {
public static final String AUTHORITY = “micode_notes”;
public static final String TAG = “Notes”;
public static final int TYPE_NOTE = 0;
public static final int TYPE_FOLDER = 1;
public static final int TYPE_SYSTEM = 2;
/
* Following IDs are system folders’ identifiers
* {@link Notes#ID_ROOT_FOLDER } is default folder
* {@link Notes#ID_TEMPARAY_FOLDER } is for notes belonging no folder
* {@link Notes#ID_CALL_RECORD_FOLDER} is to store call records
*/
public static final int ID_ROOT_FOLDER = 0;
public static final int ID_TEMPARAY_FOLDER = -1;
public static final int ID_CALL_RECORD_FOLDER = -2;
public static final int ID_TRASH_FOLER = -3;
public static final String INTENT_EXTRA_ALERT_DATE = “net.micode.notes.alert_date”;
public static final String INTENT_EXTRA_BACKGROUND_ID = “net.micode.notes.background_color_id”;
public static final String INTENT_EXTRA_WIDGET_ID = “net.micode.notes.widget_id”;
public static final String INTENT_EXTRA_WIDGET_TYPE = “net.micode.notes.widget_type”;
public static final String INTENT_EXTRA_FOLDER_ID = “net.micode.notes.folder_id”;
public static final String INTENT_EXTRA_CALL_DATE = “net.micode.notes.call_date”;
public static final int TYPE_WIDGET_INVALIDE = -1;
public static final int TYPE_WIDGET_2X = 0;
public static final int TYPE_WIDGET_4X = 1;
public static class DataConstants {
public static final String NOTE = TextNote.CONTENT_ITEM_TYPE;
public static final String CALL_NOTE = CallNote.CONTENT_ITEM_TYPE;
}
/
* Uri to query all notes and folders
*/
public static final Uri CONTENT_NOTE_URI = Uri.parse(“content://” + AUTHORITY + “/note”);
/
* Uri to query data
*/
public static final Uri CONTENT_DATA_URI = Uri.parse(“content://” + AUTHORITY + “/data”);
public interface NoteColumns {
/
* The unique ID for a row
* <P> Type: INTEGER (long) </P>
*/
public static final String ID = “_id”;
/
* The parent’s id for note or folder
* <P> Type: INTEGER (long) </P>
*/
public static final String PARENT_ID = “parent_id”;
/
* Created data for note or folder
* <P> Type: INTEGER (long) </P>
*/
public static final String CREATED_DATE = “created_date”;
/
* Latest modified date
* <P> Type: INTEGER (long) </P>
*/
public static final String MODIFIED_DATE = “modified_date”;
/
* Alert date
* <P> Type: INTEGER (long) </P>
*/
public static final String ALERTED_DATE = “alert_date”;
/
* Folder’s name or text content of note
* <P> Type: TEXT </P>
*/
public static final String SNIPPET = “snippet”;
/
* Note’s widget id
* <P> Type: INTEGER (long) </P>
*/
public static final String WIDGET_ID = “widget_id”;
/
* Note’s widget type
* <P> Type: INTEGER (long) </P>
*/
public static final String WIDGET_TYPE = “widget_type”;
/
* Note’s background color’s id
* <P> Type: INTEGER (long) </P>
*/
public static final String BG_COLOR_ID = “bg_color_id”;
/
* For text note, it doesn’t has attachment, for multi-media
* note, it has at least one attachment
* <P> Type: INTEGER </P>
*/
public static final String HAS_ATTACHMENT = “has_attachment”;
/
* Folder’s count of notes
* <P> Type: INTEGER (long) </P>
*/
public static final String NOTES_COUNT = “notes_count”;
/
* The file type: folder or note
* <P> Type: INTEGER </P>
*/
public static final String TYPE = “type”;
/
* The last sync id
* <P> Type: INTEGER (long) </P>
*/
public static final String SYNC_ID = “sync_id”;
/
* Sign to indicate local modified or not
* <P> Type: INTEGER </P>
*/
public static final String LOCAL_MODIFIED = “local_modified”;
/
* Original parent id before moving into temporary folder
* <P> Type : INTEGER </P>
*/
public static final String ORIGIN_PARENT_ID = “origin_parent_id”;
/
* The gtask id
* <P> Type : TEXT </P>
*/
public static final String GTASK_ID = “gtask_id”;
/
* The version code
* <P> Type : INTEGER (long) </P>
*/
public static final String VERSION = “version”;
}
public interface DataColumns {
/
* The unique ID for a row
* <P> Type: INTEGER (long) </P>
*/
public static final String ID = “_id”;
/
* The MIME type of the item represented by this row.
* <P> Type: Text </P>
*/
public static final String MIME_TYPE = “mime_type”;
/
* The reference id to note that this data belongs to
* <P> Type: INTEGER (long) </P>
*/
public static final String NOTE_ID = “note_id”;
/
* Created data for note or folder
* <P> Type: INTEGER (long) </P>
*/
public static final String CREATED_DATE = “created_date”;
/
* Latest modified date
* <P> Type: INTEGER (long) </P>
*/
public static final String MODIFIED_DATE = “modified_date”;
/
* Data’s content
* <P> Type: TEXT </P>
*/
public static final String CONTENT = “content”;
/
* Generic data column, the meaning is {@link #MIMETYPE} specific, used for
* integer data type
* <P> Type: INTEGER </P>
*/
public static final String DATA1 = “data1”;
/
* Generic data column, the meaning is {@link #MIMETYPE} specific, used for
* integer data type
* <P> Type: INTEGER </P>
*/
public static final String DATA2 = “data2”;
/
* Generic data column, the meaning is {@link #MIMETYPE} specific, used for
* TEXT data type
* <P> Type: TEXT </P>
*/
public static final String DATA3 = “data3”;
/
* Generic data column, the meaning is {@link #MIMETYPE} specific, used for
* TEXT data type
* <P> Type: TEXT </P>
*/
public static final String DATA4 = “data4”;
/
* Generic data column, the meaning is {@link #MIMETYPE} specific, used for
* TEXT data type
* <P> Type: TEXT </P>
*/
public static final String DATA5 = “data5”;
}
public static final class TextNote implements DataColumns {
/
* Mode to indicate the text in check list mode or not
* <P> Type: Integer 1:check list mode 0: normal mode </P>
*/
public static final String MODE = DATA1;
public static final int MODE_CHECK_LIST = 1;
public static final String CONTENT_TYPE = “vnd.android.cursor.dir/text_note”;
public static final String CONTENT_ITEM_TYPE = “vnd.android.cursor.item/text_note”;
public static final Uri CONTENT_URI = Uri.parse(“content://” + AUTHORITY + “/text_note”);
}
public static final class CallNote implements DataColumns {
/
* Call date for this record
* <P> Type: INTEGER (long) </P>
*/
public static final String CALL_DATE = DATA1;
/
* Phone number for this record
* <P> Type: TEXT </P>
*/
public static final String PHONE_NUMBER = DATA3;
public static final String CONTENT_TYPE = “vnd.android.cursor.dir/call_note”;
public static final String CONTENT_ITEM_TYPE = “vnd.android.cursor.item/call_note”;
public static final Uri CONTENT_URI = Uri.parse(“content://” + AUTHORITY + “/call_note”);
}
}
绘制类图
|
d55262d2984a9ee1e4cd665d78f87214
|
{
"intermediate": 0.32608070969581604,
"beginner": 0.33316877484321594,
"expert": 0.340750515460968
}
|
34,654
|
NotesDatabaseHelper .up.|> SQLiteOpenHelper : extends
NotesProvider .up.|> ContentProvider : extends
NotesProvider -left-|> NoteColumns : uses
NotesProvider -left-|> DataColumns : uses
NotesProvider -left-|> DataConstants : uses
NotesProvider -left-|> Notes : uses
NotesProvider -left-|> NotesDatabaseHelper : uses
NotesDatabaseHelper .up.|> SQLiteOpenHelper : extends
NotesDatabaseHelper -left-|> NoteColumns : uses
NotesDatabaseHelper -left-|> DataColumns : uses
NotesDatabaseHelper -left-|> DataConstants : uses
NotesDatabaseHelper -left-|> Notes : uses调整布局，使画面变得整洁美观
|
6f11ebed902943e9df1b13cc8fc6acb1
|
{
"intermediate": 0.41260385513305664,
"beginner": 0.2744540572166443,
"expert": 0.3129420578479767
}
|
34,655
|
create script.sh in linux
|
5b6cd276b073ca0d71774bbbe1d57ec9
|
{
"intermediate": 0.3644174039363861,
"beginner": 0.24341073632240295,
"expert": 0.3921718895435333
}
|
34,656
|
HOw to get the password from the website from the insepect option
use this link to learn from it and say the steps by mentioning it in BUllet Points
link: https://www.groovypost.com/howto/reveal-password-behind-asterisk-chrome-firefox/
|
3289101c935d0c18e62f56e00d77ba0c
|
{
"intermediate": 0.3268648684024811,
"beginner": 0.2943118214607239,
"expert": 0.3788233697414398
}
|
34,657
|
embedDataInBlock[block_, dataBit_, mask_, inverseMask_,
luminanceCoefficients_] :=
Module[{blockData, flattenB1, flattenB0, lumB1, lumB0, deltaLum,
deltaB, deltaArray, alpha},
blockData = ImageData[block, "Byte"];
flattenB1 = Flatten[blockData*mask, 1];
flattenB0 = Flatten[blockData*inverseMask, 1];
lumB1 = Mean[Dot[flattenB1, luminanceCoefficients]];
lumB0 = Mean[Dot[flattenB0, luminanceCoefficients]];
alpha = randomAlphaCoefficient*RandomReal[{0.1, 0.5}];
deltaLum = 0;
If[dataBit == 1 && lumB0 - lumB1 <= alpha,
deltaLum = alpha + 1 - (lumB0 - lumB1);
deltaB = deltaLum*luminanceCoefficients;
deltaArray = ConstantArray[deltaB, {8, 8}]*inverseMask;
blockData += deltaArray;];
If[dataBit == 0 && lumB0 - lumB1 >= -alpha,
deltaLum = -alpha - 1 - (lumB0 - lumB1);
deltaB = deltaLum*luminanceCoefficients;
deltaArray = ConstantArray[deltaB, {8, 8}]*inverseMask;
blockData += deltaArray;];
Print["Яркость с маской 1: ", lumB1, ", Яркость с маской 0: ",
lumB0, ", Разница в яркости (deltaLum): ", deltaLum,
", Встраиваемый бит: ", dataBit];
Image[blockData]] функции разверни
и if конструкции
сделай через witch
|
abbc7c9266ed5bfa32c38d6265064084
|
{
"intermediate": 0.30162230134010315,
"beginner": 0.4929288327693939,
"expert": 0.20544888079166412
}
|
34,658
|
NotesDatabaseHelper .up.|> SQLiteOpenHelper : extends
NotesProvider .up.|> ContentProvider : extends
NotesProvider -left-|> NoteColumns : uses
NotesProvider -left-|> DataColumns : uses
NotesProvider -left-|> DataConstants : uses
NotesProvider -left-|> Notes : uses
NotesProvider -left-|> NotesDatabaseHelper : uses
NotesDatabaseHelper .up.|> SQLiteOpenHelper : extends
NotesDatabaseHelper -left-|> NoteColumns : uses
NotesDatabaseHelper -left-|> DataColumns : uses
NotesDatabaseHelper -left-|> DataConstants : uses
NotesDatabaseHelper -left-|> Notes : uses 修改puml代码，调整类图布局，使得画面整洁美观
|
0aadd9fa0675e60925a1785c30b6be4c
|
{
"intermediate": 0.39360398054122925,
"beginner": 0.31719154119491577,
"expert": 0.2892044484615326
}
|
34,659
|
I want to fetch 1 month data using data query what are date functions I can use and write query share with example in ZOQL
|
6d30d03374ca25c05abe761dc31c4560
|
{
"intermediate": 0.7535181045532227,
"beginner": 0.12789641320705414,
"expert": 0.11858551949262619
}
|
34,660
|
When someone hovers over the element <p>, a toolbar hint will appear in the middle of the screen saying "copy" whilst enlarging the element making it pop out, and clicking on the element copies the contents
|
fcbd92591a6d764b4dc756eb34812598
|
{
"intermediate": 0.38531047105789185,
"beginner": 0.22897660732269287,
"expert": 0.3857128918170929
}
|
34,661
|
I have a prompts.csv dataset that contains two hearders, A and B, and i have already made an app that can train a model but not for this type of file, here is the code for it and please help me modify it to suit this use case: import tkinter as tk
from tkinter import filedialog
from keras.models import Sequential, Model
from keras.layers import Embedding, LSTM, Dense, Input, MultiHeadAttention, GlobalAveragePooling1D
from keras.preprocessing.text import Tokenizer
from keras.preprocessing.sequence import pad_sequences
from keras.utils import to_categorical
import numpy as np
import os
import pickle
from keras.layers import Masking
from keras.layers import MultiHeadAttention
# Data loader and preprocessor function
def preprocess_data(file_paths):
tokenizer = Tokenizer()
# Load and concatenate content from all selected dataset files
all_text = ""
for file_path in file_paths:
with open(file_path, "r", encoding="utf-8") as file:
text = file.read()
all_text += text + "\n" # Ensure separation between files’ content
sentences = all_text.split("\n")
tokenizer.fit_on_texts(sentences)
sequences = tokenizer.texts_to_sequences(sentences)
# Check if we’re using a fixed sequence length
if sequence_choice_var.get():
# Read the fixed sequence length from the respective entry field
sequence_length = int(entry_fixed_length.get())
padded_sequences = pad_sequences(sequences, maxlen=sequence_length, padding="pre")
big_sequence = [token for seq in padded_sequences for token in seq if token != 0] # Filter out 0 (padding)
else:
# If not using a fixed length, find the minimal sequence length greater than 1
sequence_length = min(len(seq) for seq in sequences if len(seq) > 1)
big_sequence = [token for seq in sequences for token in seq]
# Filter by sequence_length will not be necessary since we take the minimal length anyway
big_sequence = [token for seq in sequences for token in seq]
input_sequences, output_words = [], []
# Assign a sequence length based on the shortest sentence
# Note: for better training with variable lengths, consider using sentences directly and/or padding at the end of each batch
sequence_length = min(len(seq) for seq in sequences if len(seq) > 1)
for i in range(len(big_sequence) - sequence_length):
input_sequences.append(big_sequence[i:i + sequence_length])
output_words.append(big_sequence[i + sequence_length])
# Remove pad_sequences call - handle varying sequence lengths directly in the model using masking or by padding at batch end
vocab_size = len(tokenizer.word_index) + 1
output_words = np.array(output_words)
output_words = to_categorical(output_words, num_classes=vocab_size)
return np.array(input_sequences), output_words, vocab_size, tokenizer, sequence_length
def create_transformer_model(sequence_length, vocab_size, layer_size, num_heads, dropout_rate):
# Transformer model requires the key, value, and query have the same dimensions (layer_size)
inputs = Input(shape=(sequence_length,))
embedding_layer = Embedding(input_dim=vocab_size, output_dim=layer_size)(inputs)
# Call the MultiHeadAttention layer with the necessary inputs
attn_output = MultiHeadAttention(num_heads=num_heads, key_dim=layer_size, dropout=dropout_rate)(
query=embedding_layer, key=embedding_layer, value=embedding_layer
)
# … Add Normalization, Feed-forward layers, etc. …
# GlobalAveragePooling1D could be used to reduce sequence dimension
pooling_layer = GlobalAveragePooling1D()(attn_output)
outputs = Dense(vocab_size, activation="softmax")(pooling_layer)
# Create the actual model
model = Model(inputs=inputs, outputs=outputs)
return model
# Function to train and save the model
def train_model():
# Move the variable assignments outside of the conditionals so they’re always defined.
num_layers = int(entry_layers.get())
layer_size = int(entry_size.get())
model_name = entry_name.get()
epochs = int(entry_epochs.get())
data_paths = root.filenames # Changed to accept multiple filenames
# Preprocess the data for either model type.
input_sequences, output_words, vocab_size, tokenizer, sequence_length = preprocess_data(data_paths)
# Check model_type and build the appropriate model.
model_type = model_type_var.get()
if model_type == "Transformer":
# Get Transformer configuration
num_heads, dropout_rate = get_transformer_config()
# Build Transformer model
model = create_transformer_model(sequence_length, vocab_size, layer_size, num_heads, dropout_rate)
# Compile the model
model.compile(optimizer="adam", loss="categorical_crossentropy", metrics=["accuracy"])
# Fit the model
model.fit(input_sequences, output_words, epochs=epochs)
else:
num_layers = int(entry_layers.get())
layer_size = int(entry_size.get())
model_name = entry_name.get()
epochs = int(entry_epochs.get())
data_paths = root.filenames # Changed to accept multiple filenames
# Preprocess the data
input_sequences, output_words, vocab_size, tokenizer, sequence_length = preprocess_data(data_paths)
# Define tokenizer_path
tokenizer_path = os.path.join("tokenizers", f"{model_name}_tokenizer.pickle")
# Check if the ‘tokenizers’ directory exists, if not, create it
os.makedirs("tokenizers", exist_ok=True)
# Building and training the model
model = Sequential()
model.add(Embedding(input_dim=vocab_size, output_dim=layer_size))
if not sequence_choice_var.get(): # Add masking for variable length sequences only
model.add(Masking(mask_value=0)) # Ignoring padded values (zeros)
# Adding predefined LSTM layers
for _ in range(num_layers):
model.add(LSTM(layer_size, return_sequences=True))
model.add(LSTM(layer_size))
model.add(Dense(vocab_size, activation="softmax"))
model.compile(optimizer="adam", loss="categorical_crossentropy", metrics=["accuracy"])
model.fit(input_sequences, output_words, epochs=epochs)
# For both: Save the tokenizer and model
tokenizer_path = os.path.join("tokenizers", f"{model_name}_tokenizer.pickle")
os.makedirs("tokenizers", exist_ok=True)
with open(tokenizer_path, "wb") as handle:
if sequence_choice_var.get():
pickle.dump((tokenizer, sequence_length), handle, protocol=pickle.HIGHEST_PROTOCOL)
else:
pickle.dump(tokenizer, handle, protocol=pickle.HIGHEST_PROTOCOL)
print(f"Tokenizer saved at {tokenizer_path}")
os.makedirs("models", exist_ok=True)
model.save(os.path.join("models", f"{model_name}.h5"))
print(f"Model {model_name} trained and saved successfully!")
# UI Setup
root = tk.Tk()
root.title("Chatbot Language Model Trainer")
# Model type
model_type_var = tk.StringVar(value="LSTM") # Default value set to ‘LSTM’
lbl_model_type = tk.Label(root, text="Select Model Type:")
lbl_model_type.pack()
radiobtn_lstm = tk.Radiobutton(root, text="LSTM", variable=model_type_var, value="LSTM")
radiobtn_lstm.pack()
radiobtn_transformer = tk.Radiobutton(root, text="Transformer", variable=model_type_var, value="Transformer")
radiobtn_transformer.pack()
# Number of layers
lbl_layers = tk.Label(root, text="Number of layers:")
lbl_layers.pack()
entry_layers = tk.Entry(root)
entry_layers.pack()
# Layer size
lbl_size = tk.Label(root, text="Size of each layer:")
lbl_size.pack()
entry_size = tk.Entry(root)
entry_size.pack()
# Model name
lbl_name = tk.Label(root, text="Model name:")
lbl_name.pack()
entry_name = tk.Entry(root)
entry_name.pack()
# Transformer specific settings
lbl_heads = tk.Label(root, text="Number of attention heads:")
lbl_heads.pack()
entry_heads = tk.Entry(root)
entry_heads.pack()
lbl_dropout = tk.Label(root, text="Dropout rate:")
lbl_dropout.pack()
entry_dropout = tk.Entry(root)
entry_dropout.pack()
# Number of epochs
lbl_epochs = tk.Label(root, text="Number of epochs:")
lbl_epochs.pack()
entry_epochs = tk.Entry(root)
entry_epochs.pack()
# Data file path
lbl_data_path = tk.Label(root, text="Data file path:")
lbl_data_path.pack()
entry_data_path = tk.Entry(root)
entry_data_path.pack()
# Checkbox for sequence length choice
lbl_sequence_choice = tk.Label(root, text="Use fixed sequence length:")
lbl_sequence_choice.pack()
sequence_choice_var = tk.BooleanVar() # Boolean variable to hold the checkbox state
chk_sequence_choice = tk.Checkbutton(root, text="Fixed length", variable=sequence_choice_var)
chk_sequence_choice.pack()
# Entry for fixed sequence length if the toggle is on
lbl_fixed_length = tk.Label(root, text="Fixed sequence length:")
lbl_fixed_length.pack()
entry_fixed_length = tk.Entry(root)
entry_fixed_length.pack()
# Function to select multiple files
def select_files():
file_paths = filedialog.askopenfilenames() # Changed to open multiple files
root.filenames = file_paths # Store the list of file paths on the root object
entry_data_path.delete(0, tk.END)
entry_data_path.insert(0, "; ".join(file_paths)) # Display all file paths in the entry
btn_browse = tk.Button(root, text="Browse…", command=select_files) # Changed to select_files
btn_browse.pack()
def get_transformer_config():
num_heads = int(entry_heads.get())
dropout_rate = float(entry_dropout.get())
# … fetch other settings similarly …
return num_heads, dropout_rate
# Train button
btn_train = tk.Button(root, text="Train Model", command=train_model)
btn_train.pack()
# Start the tkinter loop
root.mainloop()
|
5dfb47f150b7df9e02a6ff86ab389414
|
{
"intermediate": 0.46665799617767334,
"beginner": 0.32963594794273376,
"expert": 0.20370608568191528
}
|
34,662
|
import 'dart:convert';
import 'package:http/http.dart' as http;
import 'package:flutter/material.dart';
void main() {
runApp(const MyApp());
}
class MyApp extends StatelessWidget {
const MyApp({Key? key}) : super(key: key);
@override
Widget build(BuildContext context) {
return MaterialApp(
home: Scaffold(
appBar: AppBar(
title: const Text('Open Events'),
),
body: const OpenEventsList(),
),
);
}
}
// stores ExpansionPanel state information
class Item {
Item({
required this.expandedValue,
required this.headerValue,
required this.imgValue,
this.isExpanded = false,
});
String expandedValue;
String headerValue;
String imgValue;
bool isExpanded;
}
List<Item> generateItems(int numberOfItems) {
return List<Item>.generate(numberOfItems, (int index) {
return Item(
headerValue: 'Panel $index',
expandedValue: 'This is item number $index',
imgValue: 'https://dev.yugam.in/media/RAM_tShb3p9.jpg',
);
});
}
class OpenEventsList extends StatefulWidget {
const OpenEventsList({Key? key}) : super(key: key);
@override
State<OpenEventsList> createState() => _OpenEventsListState();
}
class _OpenEventsListState extends State<OpenEventsList> {
// final String jsonString = '''
// [
// {
// "id": 1,
// "is_open": false,
// "title": "random event 1",
// "appDescription": "Random description for event 1",
// "image": "https://dev.yugam.in/media/RAM_tShb3p9.jpg"
// },
// {
// "id": 2,
// "is_open": true,
// "title": "random event 2",
// "appDescription": "Random description for event 2",
// "image": "https://dev.yugam.in/media/RAM_tShb3p9.jpg"
// },
// {
// "id": 3,
// "is_open": false,
// "title": "random event 3",
// "appDescription": "Random description for event 3",
// "image": "https://dev.yugam.in/media/RAM_tShb3p9.jpg"
// },
// {
// "id": 4,
// "is_open": true,
// "title": "random event 4",
// "appDescription": "Random description for event 4",
// "image": "https://dev.yugam.in/media/RAM_tShb3p9.jpg"
// },
// {
// "id": 5,
// "is_open": false,
// "title": "random event 5",
// "appDescription": "Random description for event 5",
// "image": "https://dev.yugam.in/media/RAM_tShb3p9.jpg"
// }
// ]
// ''';
List<Item> _data = [];
@override
void initState() {
super.initState();
fetchData();
// List<dynamic> list = jsonDecode(jsonString);
// list = list.where((item) => item['is_open'] == true).toList();
//
// _data = list
// .map<Item>((json) => Item(
// expandedValue: json['appDescription'],
// headerValue: json['title'],
// imgValue: json['image'],
// ))
// .toList();
}
Future<void> fetchData() async {
final response = await http.post(Uri.parse('http://10.1.75.71:8000/'));
if (response.statusCode == 200) {
List<dynamic> list = jsonDecode(response.body);
list = list.where((item) => item['is_open'] == true).toList();
_data = list.map<Item>((json) => Item(
expandedValue: json['appDescription'],
headerValue: json['title'],
imgValue: json['image'],
)).toList();
} else {
throw Exception('Failed to load data');
}
}
@override
Widget build(BuildContext context) {
return SingleChildScrollView(
child: Container(
child: _buildPanel(),
),
);
}
Widget _buildPanel() {
return ExpansionPanelList(
expansionCallback: (int index, bool isExpanded) {
setState(() {
_data[index].isExpanded = isExpanded;
});
},
children: _data.map<ExpansionPanel>((Item item) {
return ExpansionPanel(
headerBuilder: (BuildContext context, bool isExpanded) {
return Card(
child: Column(
children: <Widget>[
// Image.network(item.imgValue),
Column(
children: [
Image.network(item.imgValue),
Text(item.headerValue),
],
),
],
),
);
},
body: Text(item.expandedValue),
isExpanded: item.isExpanded,
);
}).toList(),
);
}
}
give react native equivalent code
|
1765f70fa7b942dcbe789fbc57656a46
|
{
"intermediate": 0.37708422541618347,
"beginner": 0.41798314452171326,
"expert": 0.20493260025978088
}
|
34,663
|
Create a daemon process to generate reports automatically. For example, you may consider generating the following reports.
• System errors (or messages) for the last 7 days
• Logins history for the last 7 days
Create a process that runs in the background that generate reports automatically.
|
54c74eaa29ab524799d0abbf89b7c818
|
{
"intermediate": 0.36560341715812683,
"beginner": 0.2961486876010895,
"expert": 0.3382478952407837
}
|
34,664
|
I would like to change this VBA code 'ActiveSheet.Cells(lastRow, "K").Value = ActiveSheet.Cells(lastRow - 1, "K").Value'
to 'ActiveSheet.Cells(lastRow, "K").Value = ActiveSheet.Cells("B1").Value
|
a1cf671b10a5c6d5642fe2d85ed6a468
|
{
"intermediate": 0.3509856164455414,
"beginner": 0.38449642062187195,
"expert": 0.2645178735256195
}
|
34,665
|
package gtanks.system.dailybonus;
import gtanks.lobby.LobbyManager;
import gtanks.main.database.DatabaseManager;
import gtanks.main.database.impl.DatabaseManagerImpl;
import gtanks.services.annotations.ServicesInject;
import gtanks.system.dailybonus.crystalls.CrystallsBonusModel;
import gtanks.system.dailybonus.ui.DailyBonusUIModel;
import gtanks.users.User;
import gtanks.users.garage.Garage;
import gtanks.users.garage.GarageItemsLoader;
import gtanks.users.garage.items.Item;
import java.util.ArrayList;
import java.util.Calendar;
import java.util.Date;
import java.util.HashMap;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import java.util.Random;
public class DailyBonusService {
private static final DailyBonusService instance = new DailyBonusService();
@ServicesInject(
target = DatabaseManager.class
)
private static final DatabaseManager databaseManager = DatabaseManagerImpl.instance();
public static final String[] SUPPLIES_IDS = new String[]{"armor", "double_damage", "n2o"};
private static Map<LobbyManager, DailyBonusService.Data> waitingUsers = new HashMap();
private static DailyBonusUIModel uiModel = new DailyBonusUIModel();
private static CrystallsBonusModel crystallsBonus = new CrystallsBonusModel();
private static Random random = new Random();
public static DailyBonusService instance() {
return instance;
}
private DailyBonusService() {
}
public void userInited(LobbyManager lobby) {
User user = lobby.getLocalUser();
if (user.getRang() + 1 > 2 && this.canGetBonus(user)) {
int fund = (int)(((double)(user.getRang() + 1) - 1.75D) * 2.4D) * 5;
if (fund > 0) {
DailyBonusService.Data bonusData = new DailyBonusService.Data();
List<BonusListItem> bonusList = bonusData.bonusList;
int rankFirstAid = ((Item)GarageItemsLoader.items.get("health")).rankId;
int itemCrystalPrice = ((Item)GarageItemsLoader.items.get("health")).price;
int countFirstAid = fund / itemCrystalPrice / 2;
itemCrystalPrice = ((Item)GarageItemsLoader.items.get("mine")).price;
int countMine = fund / itemCrystalPrice / 2;
int rankMine = ((Item)GarageItemsLoader.items.get("mine")).rankId;
if ((double)random.nextFloat() < 0.1D) {
bonusData.type = 1;
} else {
bonusData.type = 3;
int count;
int price;
Item bonus;
int nextInt;
if ((double)random.nextFloat() < 0.3D && countFirstAid > 0 && user.getRang() >= rankFirstAid) {
bonus = (Item)GarageItemsLoader.items.get("health");
price = bonus.price;
count = fund / price / 2 + 1;
} else if ((double)random.nextFloat() < 0.3D && countMine > 0 && user.getRang() >= rankMine) {
bonus = (Item)GarageItemsLoader.items.get("mine");
price = bonus.price;
count = fund / price / 2 + 1;
} else {
nextInt = random.nextInt(3);
bonus = (Item)GarageItemsLoader.items.get(SUPPLIES_IDS[nextInt]);
price = bonus.price;
count = fund / price / 2;
}
bonusList.add(new BonusListItem(bonus, count));
fund -= price * count;
nextInt = random.nextInt(3);
bonus = (Item)GarageItemsLoader.items.get(SUPPLIES_IDS[nextInt]);
price = bonus.price;
if (((BonusListItem)bonusList.get(0)).getBonus().equals(bonus)) {
((BonusListItem)bonusList.get(0)).addCount(fund / price);
} else {
bonusList.add(new BonusListItem(bonus, fund / price));
}
}
waitingUsers.put(lobby, bonusData);
Garage garage = user.getGarage();
BonusListItem item;
Item bonusItem;
for(Iterator var17 = bonusList.iterator(); var17.hasNext(); bonusItem.count += item.getCount()) {
item = (BonusListItem)var17.next();
bonusItem = garage.getItemById(item.getBonus().id);
if (bonusItem == null) {
bonusItem = ((Item)GarageItemsLoader.items.get(item.getBonus().id)).clone();
garage.items.add(bonusItem);
}
}
garage.parseJSONData();
databaseManager.update(garage);
}
}
}
public void userLoaded(LobbyManager lobby) {
DailyBonusService.Data data = (DailyBonusService.Data)waitingUsers.get(lobby);
if (data != null) {
if (data.type == 1) {
crystallsBonus.applyBonus(lobby);
uiModel.showCrystalls(lobby, crystallsBonus.getBonus(lobby.getLocalUser().getRang()));
} else if (data.type == 3) {
uiModel.showBonuses(lobby, data.bonusList);
}
waitingUsers.remove(lobby);
this.saveLastDate(lobby.getLocalUser());
}
}
public boolean canGetBonus(User user) {
if (user == null) {
return false;
} else {
boolean result = false;
Date lastDate = user.getLastIssueBonus();
Date now = new Date(System.currentTimeMillis() - 14400000L);
Calendar nowCal = Calendar.getInstance();
nowCal.setTime(now);
Calendar lastCal = Calendar.getInstance();
if (lastDate != null) {
lastCal.setTime(lastDate);
}
if (lastDate == null || nowCal.get(5) > lastCal.get(5) || nowCal.get(2) > lastCal.get(2)) {
result = true;
}
return result;
}
}
private void saveLastDate(User user) {
Date now = new Date(System.currentTimeMillis() - 14400000L);
user.setLastIssueBonus(now);
databaseManager.update(user);
}
private class Data {
public int type = 0;
public List<BonusListItem> bonusList = new ArrayList();
public Data() {
}
}
}
как сюда добавить выдачу предмета с id "double_crystalls"
|
2cc3c2d38b51e8378449772b5efef0f9
|
{
"intermediate": 0.31398874521255493,
"beginner": 0.4652617275714874,
"expert": 0.22074945271015167
}
|
34,666
|
For the /etc/crypttab I have in Debian, upon boot time, things seem to work (for unlocking two drives), but a message along the lines of "RequiresMountsFor ignoring btrfs_r1". What could be causing this and how could I fix it? Be concise.
|
814f264c0f0744bebdc8ab4b2fdfce9f
|
{
"intermediate": 0.5758348107337952,
"beginner": 0.22537481784820557,
"expert": 0.1987903118133545
}
|
34,667
|
Power Bi I want in Matrix table to show parameter values in column
|
41175970e356d1ddb2f3a1639c99fe9b
|
{
"intermediate": 0.300168514251709,
"beginner": 0.24041330814361572,
"expert": 0.45941823720932007
}
|
34,668
|
can you add a few lines of code to show each row in which cluster?
X = df.values # convert the DataFrame to a numpy array
# Standardize data
scaler = StandardScaler()
X_scaled = scaler.fit_transform(X)
# Apply PCA
pca = PCA(n_components=0.95) # choose the number of components that explain 95% of the variance
X_pca = pca.fit_transform(X_scaled) # transform the data to the lower-dimensional space
print(pca.explained_variance_ratio_) # print the percentage of variance explained by each component
print(pca.n_components_) # print the number of components
# Apply k-means
kmeans = KMeans(n_clusters=3, random_state=42) # choose the number of clusters
y_pred = kmeans.fit_predict(X_pca) # assign each data point to a cluster
print(silhouette_score(X_pca, y_pred)) # print the silhouette score of the clustering
# Count number of cells in each class
class_counts = np.bincount(y_pred)
print(class_counts)
# Visualize the clusters
plt.scatter(X_pca[:, 0], X_pca[:, 1], c=y_pred, cmap='viridis') # plot the data points in the first two principal components and color them by their cluster labels
plt.xlabel('PC1')
plt.ylabel('PC2')
plt.title('PCA and k-means on cell segmentation data')
plt.show()
|
1a824e7c936380119a3eac1e548879cb
|
{
"intermediate": 0.32400962710380554,
"beginner": 0.2608565092086792,
"expert": 0.4151338040828705
}
|
34,669
|
function optimizeHeatExchanger101()
% NSGA-II parameters
nPop = 1000; % Population size
maxGen = 30; % Maximum number of generations
pCrossover = 0.999; % Crossover probability
% Optimization options
options = gaoptimset('PopulationType', 'doubleVector', ...
'PopulationSize', nPop, ...
'Generations', maxGen, ...
'CrossoverFraction', pCrossover, ...
'ParetoFraction', 0.35, ...
'PlotFcn', @gaplotpareto);
% Lower and upper bounds for design variables
lb = [5, 3, 1, 0.15, 300];
ub = [10, 6, 2, 0.3, 800];
% Run the NSGA-II optimizer
[x, fval] = gamultiobj(@plateFinHeatExchanger, 5, [], [], [], [], lb, ub, options);
% Display the results to the Command Window
disp('Optimized Design Variables:');
disp(x);
disp('Objective Function Values:');
disp(fval);
% Obtain the design parameters at which the optimum values of the objective functions are achieved
designParametersAtOptimum = findOptimalDesignParameters(x, fval);
disp('Design Parameters at Optimal Objective Function Values:');
disp(designParametersAtOptimum);
% Plot the objective function values vs Reynolds number
plotObjectiveFunctionsVsReynolds(x, fval);
% Plot the j/f ratio vs Reynolds number
plotJFRatioVsReynolds(x, fval);
% Plot the objective function values vs design parameters h, l, s, and t
plotObjectiveFunctionsVsDesignParameters(x, fval);
end
function plotObjectiveFunctionsVsDesignParameters(x, fval)
designParams = x(:, 1:4);
f1_values = fval(:, 1);
f2_values = fval(:, 2);
figure;
subplot(2, 2, 1);
plot(designParams(:, 1), f1_values, 'b.');
xlabel('h');
ylabel('Objective Function 1 Value (Negative Colburn Factor)');
title('Objective Function 1 vs h');
subplot(2, 2, 2);
plot(designParams(:, 2), f1_values, 'r.');
xlabel('l');
ylabel('Objective Function 1 Value (Negative Colburn Factor)');
title('Objective Function 1 vs l');
subplot(2, 2, 3);
plot(designParams(:, 3), f1_values, 'g.');
xlabel('s');
ylabel('Objective Function 1 Value (Negative Colburn Factor)');
title('Objective Function 1 vs s');
subplot(2, 2, 4);
plot(designParams(:, 4), f1_values, 'm.');
xlabel('t');
ylabel('Objective Function 1 Value (Negative Colburn Factor)');
title('Objective Function 1 vs t');
figure;
subplot(2, 2, 1);
plot(designParams(:, 1), f2_values, 'b.');
xlabel('h');
ylabel('Objective Function 2 Value (Friction Factor)');
title('Objective Function 2 vs h');
subplot(2, 2, 2);
plot(designParams(:, 2), f2_values, 'r.');
xlabel('l');
ylabel('Objective Function 2 Value (Friction Factor)');
title('Objective Function 2 vs l');
subplot(2, 2, 3);
plot(designParams(:, 3), f2_values, 'g.');
xlabel('s');
ylabel('Objective Function 2 Value (Friction Factor)');
title('Objective Function 2 vs s');
subplot(2, 2, 4);
plot(designParams(:, 4), f2_values, 'm.');
xlabel('t');
ylabel('Objective Function 2 Value (Friction Factor)');
title('Objective Function 2 vs t');
end
% (Remaining functions remain unchanged)
function plotObjectiveFunctionsVsReynolds(x, fval)
ReynoldsNumbers = x(:, 5);
f1_values = fval(:, 1);
f2_values = fval(:, 2);
figure;
subplot(2, 1, 1);
plot(ReynoldsNumbers, f1_values, 'b.');
xlabel('Reynolds Number');
ylabel('Objective Function 1 Value (Negative Colburn Factor)');
title('Objective Function 1 vs Reynolds Number');
subplot(2, 1, 2);
plot(ReynoldsNumbers, f2_values, 'r.');
xlabel('Reynolds Number');
ylabel('Objective Function 2 Value (Friction Factor)');
title('Objective Function 2 vs Reynolds Number');
end
function plotJFRatioVsReynolds(x, fval)
ReynoldsNumbers = x(:, 5);
jf_ratio = fval(:, 1) ./ fval(:, 2);
figure;
plot(ReynoldsNumbers, jf_ratio, 'g.');
xlabel('Reynolds Number');
ylabel('j/f Ratio');
title('j/f Ratio vs Reynolds Number');
end
function [f, c] = plateFinHeatExchanger(x)
h = x(1);
l = x(2);
s = x(3);
t = x(4);
Re = x(5);
f1 = -ColburnFactor(h, l, s, t, Re);
f2 = FrictionFactor(h, l, s, t, Re);
f = [f1, f2];
c = [];
end
function j = ColburnFactor(h, l, s, t, Re)
if (Re >= 300 && Re <= 800)
j = 0.661 * (Re^(-0.651)) * ((s/h)^(-0.343)) * ((t/s)^(-0.538)) * ((t/l)^(0.305));
elseif (Re >= 1000 && Re <= 15000)
j = 0.185 * (Re^(-0.396)) * ((s/h)^(-0.178)) * ((t/s)^(-0.403)) * ((t/l)^(0.29));
else
error('Reynolds number is out of the valid range for the provided formula.');
end
end
function f = FrictionFactor(h, l, s, t, Re)
if (Re >= 300 && Re <= 800)
f = 10.882 * (Re^(-0.79)) * ((s/h)^(-0.359)) * ((t/s)^(-0.187)) * ((t/l)^(0.284));
elseif (Re >= 1000 && Re <= 15000)
f = 2.237 * (Re^(-0.236)) * ((s/h)^(-0.347)) * ((t/s)^(-0.151)) * ((t/l)^(0.639));
else
error('Reynolds number is out of the valid range for the provided formula.');
end
end
function designParameters = findOptimalDesignParameters(x, fval)
[~, minIdx] = min(fval, [], 1);
designParameters = x(minIdx, :);
end
|
9ead7d05d8d2441a3d38edc3e4a504c3
|
{
"intermediate": 0.3294948935508728,
"beginner": 0.3585304319858551,
"expert": 0.31197458505630493
}
|
34,670
|
package gtanks.system.dailybonus;
import gtanks.lobby.LobbyManager;
import gtanks.main.database.DatabaseManager;
import gtanks.main.database.impl.DatabaseManagerImpl;
import gtanks.services.annotations.ServicesInject;
import gtanks.system.dailybonus.crystalls.CrystallsBonusModel;
import gtanks.system.dailybonus.ui.DailyBonusUIModel;
import gtanks.users.User;
import gtanks.users.garage.Garage;
import gtanks.users.garage.GarageItemsLoader;
import gtanks.users.garage.items.Item;
import java.util.ArrayList;
import java.util.Calendar;
import java.util.Date;
import java.util.HashMap;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import java.util.Random;
public class DailyBonusService {
private static final DailyBonusService instance = new DailyBonusService();
@ServicesInject(
target = DatabaseManager.class
)
private static final DatabaseManager databaseManager = DatabaseManagerImpl.instance();
public static final String[] SUPPLIES_IDS = new String[]{"armor", "double_damage", "n2o"};
private static Map<LobbyManager, DailyBonusService.Data> waitingUsers = new HashMap();
private static DailyBonusUIModel uiModel = new DailyBonusUIModel();
private static CrystallsBonusModel crystallsBonus = new CrystallsBonusModel();
private static Random random = new Random();
public static DailyBonusService instance() {
return instance;
}
private DailyBonusService() {
}
public void userInited(LobbyManager lobby) {
User user = lobby.getLocalUser();
if (user.getRang() + 1 > 2 && this.canGetBonus(user)) {
int fund = (int)(((double)(user.getRang() + 1) - 1.75D) * 2.4D) * 5;
if (fund > 0) {
DailyBonusService.Data bonusData = new DailyBonusService.Data();
List<BonusListItem> bonusList = bonusData.bonusList;
int rankFirstAid = ((Item)GarageItemsLoader.items.get("health")).rankId;
int itemCrystalPrice = ((Item)GarageItemsLoader.items.get("health")).price;
int countFirstAid = fund / itemCrystalPrice / 2;
itemCrystalPrice = ((Item)GarageItemsLoader.items.get("mine")).price;
int countMine = fund / itemCrystalPrice / 2;
int rankMine = ((Item)GarageItemsLoader.items.get("mine")).rankId;
if ((double)random.nextFloat() < 0.1D) {
bonusData.type = 1;
} else {
bonusData.type = 3;
int count;
int price;
Item bonus;
int nextInt;
if ((double)random.nextFloat() < 0.3D && countFirstAid > 0 && user.getRang() >= rankFirstAid) {
bonus = (Item)GarageItemsLoader.items.get("health");
price = bonus.price;
count = fund / price / 2 + 1;
} else if ((double)random.nextFloat() < 0.3D && countMine > 0 && user.getRang() >= rankMine) {
bonus = (Item)GarageItemsLoader.items.get("mine");
price = bonus.price;
count = fund / price / 2 + 1;
} else {
nextInt = random.nextInt(3);
bonus = (Item)GarageItemsLoader.items.get(SUPPLIES_IDS[nextInt]);
price = bonus.price;
count = fund / price / 2;
}
bonusList.add(new BonusListItem(bonus, count));
fund -= price * count;
nextInt = random.nextInt(3);
bonus = (Item)GarageItemsLoader.items.get(SUPPLIES_IDS[nextInt]);
price = bonus.price;
if (((BonusListItem)bonusList.get(0)).getBonus().equals(bonus)) {
((BonusListItem)bonusList.get(0)).addCount(fund / price);
} else {
bonusList.add(new BonusListItem(bonus, fund / price));
}
}
waitingUsers.put(lobby, bonusData);
Garage garage = user.getGarage();
BonusListItem item;
Item bonusItem;
for(Iterator var17 = bonusList.iterator(); var17.hasNext(); bonusItem.count += item.getCount()) {
item = (BonusListItem)var17.next();
bonusItem = garage.getItemById(item.getBonus().id);
if (bonusItem == null) {
bonusItem = ((Item)GarageItemsLoader.items.get(item.getBonus().id)).clone();
garage.items.add(bonusItem);
}
}
garage.parseJSONData();
databaseManager.update(garage);
}
}
}
public void userLoaded(LobbyManager lobby) {
DailyBonusService.Data data = (DailyBonusService.Data)waitingUsers.get(lobby);
if (data != null) {
if (data.type == 1) {
crystallsBonus.applyBonus(lobby);
uiModel.showCrystalls(lobby, crystallsBonus.getBonus(lobby.getLocalUser().getRang()));
} else if (data.type == 3) {
uiModel.showBonuses(lobby, data.bonusList);
}
waitingUsers.remove(lobby);
this.saveLastDate(lobby.getLocalUser());
}
}
public boolean canGetBonus(User user) {
if (user == null) {
return false;
} else {
boolean result = false;
Date lastDate = user.getLastIssueBonus();
Date now = new Date(System.currentTimeMillis() - 14400000L);
Calendar nowCal = Calendar.getInstance();
nowCal.setTime(now);
Calendar lastCal = Calendar.getInstance();
if (lastDate != null) {
lastCal.setTime(lastDate);
}
if (lastDate == null || nowCal.get(5) > lastCal.get(5) || nowCal.get(2) > lastCal.get(2)) {
result = true;
}
return result;
}
}
private void saveLastDate(User user) {
Date now = new Date(System.currentTimeMillis() - 14400000L);
user.setLastIssueBonus(now);
databaseManager.update(user);
}
private class Data {
public int type = 0;
public List<BonusListItem> bonusList = new ArrayList();
public Data() {
}
}
}
как сюда добавить выдачу нового предмета с id double_crystalls c с новым типом bonusData.type = 4;
|
8dd27a88b74c973203ed44f139459c28
|
{
"intermediate": 0.31398874521255493,
"beginner": 0.4652617275714874,
"expert": 0.22074945271015167
}
|
34,671
|
Можно ли упростить этот код? for (size_t j = 0; j < rows; j++)
{
int count = 0;
for (size_t i = 0; i < cols; i++)
{
std::cout << input[i][j] << "\t";
std::cout << occur[i][j] << "\t";
if(occur[i][j] > threshold)
{
count++;
}
}
std::cout << count << std::endl;
std::cout << count << "_" << cols << "\n";
if(count == cols)
{
std::vector<size_t> temp{};
for(size_t i = 0; i < cols; i++)
{
temp.push_back(input[i][j]);
}
cutted.push_back(temp);
}
}
|
97234031ee1e8de55317e5c58f47fec6
|
{
"intermediate": 0.31502920389175415,
"beginner": 0.4388139545917511,
"expert": 0.24615684151649475
}
|
34,672
|
按照如下格式给我生成后续代码的类图文本 - mMatcher: UriMatcher
- mHelper: NotesDatabaseHelper
- TAG: String
- NOTES_SEARCH_PROJECTION: String
…
+ onCreate(): boolean
+ query(uri: Uri, projection: String[], selection: String, selectionArgs: String[], sortOrder: String): Cursor
+ insert(uri: Uri, values: ContentValues): Uri
+ delete(uri: Uri, selection: String, selectionArgs: String[]): int
+ update(uri: Uri, values: ContentValues, selection: String, selectionArgs: String[]): int
+ getType(uri: Uri): String /*
* Copyright (c) 2010-2011, The MiCode Open Source Community (www.micode.net)
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package net.micode.notes.widget;
import android.app.PendingIntent;
import android.appwidget.AppWidgetManager;
import android.appwidget.AppWidgetProvider;
import android.content.ContentValues;
import android.content.Context;
import android.content.Intent;
import android.database.Cursor;
import android.util.Log;
import android.widget.RemoteViews;
//import net.micode.notes.R;
import com.example.namespace.R;
import net.micode.notes.data.Notes;
import net.micode.notes.data.Notes.NoteColumns;
import net.micode.notes.tool.ResourceParser;
import net.micode.notes.ui.NoteEditActivity;
import net.micode.notes.ui.NotesListActivity;
public abstract class NoteWidgetProvider extends AppWidgetProvider {
public static final String [] PROJECTION = new String [] {
NoteColumns.ID,
NoteColumns.BG_COLOR_ID,
NoteColumns.SNIPPET
};
public static final int COLUMN_ID = 0;
public static final int COLUMN_BG_COLOR_ID = 1;
public static final int COLUMN_SNIPPET = 2;
private static final String TAG = "NoteWidgetProvider";
@Override
public void onDeleted(Context context, int[] appWidgetIds) {
ContentValues values = new ContentValues();
values.put(NoteColumns.WIDGET_ID, AppWidgetManager.INVALID_APPWIDGET_ID);
for (int i = 0; i < appWidgetIds.length; i++) {
context.getContentResolver().update(Notes.CONTENT_NOTE_URI,
values,
NoteColumns.WIDGET_ID + "=?",
new String[] { String.valueOf(appWidgetIds[i])});
}
}
private Cursor getNoteWidgetInfo(Context context, int widgetId) {
return context.getContentResolver().query(Notes.CONTENT_NOTE_URI,
PROJECTION,
NoteColumns.WIDGET_ID + "=? AND " + NoteColumns.PARENT_ID + "<>?",
new String[] { String.valueOf(widgetId), String.valueOf(Notes.ID_TRASH_FOLER) },
null);
}
protected void update(Context context, AppWidgetManager appWidgetManager, int[] appWidgetIds) {
update(context, appWidgetManager, appWidgetIds, false);
}
private void update(Context context, AppWidgetManager appWidgetManager, int[] appWidgetIds,
boolean privacyMode) {
for (int i = 0; i < appWidgetIds.length; i++) {
if (appWidgetIds[i] != AppWidgetManager.INVALID_APPWIDGET_ID) {
int bgId = ResourceParser.getDefaultBgId(context);
String snippet = "";
Intent intent = new Intent(context, NoteEditActivity.class);
intent.setFlags(Intent.FLAG_ACTIVITY_SINGLE_TOP);
intent.putExtra(Notes.INTENT_EXTRA_WIDGET_ID, appWidgetIds[i]);
intent.putExtra(Notes.INTENT_EXTRA_WIDGET_TYPE, getWidgetType());
Cursor c = getNoteWidgetInfo(context, appWidgetIds[i]);
if (c != null && c.moveToFirst()) {
if (c.getCount() > 1) {
Log.e(TAG, "Multiple message with same widget id:" + appWidgetIds[i]);
c.close();
return;
}
snippet = c.getString(COLUMN_SNIPPET);
bgId = c.getInt(COLUMN_BG_COLOR_ID);
intent.putExtra(Intent.EXTRA_UID, c.getLong(COLUMN_ID));
intent.setAction(Intent.ACTION_VIEW);
} else {
snippet = context.getResources().getString(R.string.widget_havenot_content);
intent.setAction(Intent.ACTION_INSERT_OR_EDIT);
}
if (c != null) {
c.close();
}
RemoteViews rv = new RemoteViews(context.getPackageName(), getLayoutId());
rv.setImageViewResource(R.id.widget_bg_image, getBgResourceId(bgId));
intent.putExtra(Notes.INTENT_EXTRA_BACKGROUND_ID, bgId);
/**
* Generate the pending intent to start host for the widget
*/
PendingIntent pendingIntent = null;
if (privacyMode) {
rv.setTextViewText(R.id.widget_text,
context.getString(R.string.widget_under_visit_mode));
pendingIntent = PendingIntent.getActivity(context, appWidgetIds[i], new Intent(
context, NotesListActivity.class), PendingIntent.FLAG_UPDATE_CURRENT);
} else {
rv.setTextViewText(R.id.widget_text, snippet);
pendingIntent = PendingIntent.getActivity(context, appWidgetIds[i], intent,
PendingIntent.FLAG_UPDATE_CURRENT);
}
rv.setOnClickPendingIntent(R.id.widget_text, pendingIntent);
appWidgetManager.updateAppWidget(appWidgetIds[i], rv);
}
}
}
protected abstract int getBgResourceId(int bgId);
protected abstract int getLayoutId();
protected abstract int getWidgetType();
}
|
2e1a998d792fb0c54cf92eaf88d21f13
|
{
"intermediate": 0.32945796847343445,
"beginner": 0.5170602798461914,
"expert": 0.15348170697689056
}
|
34,673
|
power bi how to convert scalar values
|
9a30e3f0b22cda3c4499b37acc577f0a
|
{
"intermediate": 0.2684236764907837,
"beginner": 0.20579874515533447,
"expert": 0.5257775783538818
}
|
34,674
|
package gtanks.system.dailybonus;
import gtanks.lobby.LobbyManager;
import gtanks.main.database.DatabaseManager;
import gtanks.main.database.impl.DatabaseManagerImpl;
import gtanks.services.annotations.ServicesInject;
import gtanks.system.dailybonus.crystalls.CrystallsBonusModel;
import gtanks.system.dailybonus.ui.DailyBonusUIModel;
import gtanks.users.User;
import gtanks.users.garage.Garage;
import gtanks.users.garage.GarageItemsLoader;
import gtanks.users.garage.items.Item;
import java.util.ArrayList;
import java.util.Calendar;
import java.util.Date;
import java.util.HashMap;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import java.util.Random;
public class DailyBonusService {
private static final DailyBonusService instance = new DailyBonusService();
@ServicesInject(
target = DatabaseManager.class
)
private static final DatabaseManager databaseManager = DatabaseManagerImpl.instance();
public static final String[] SUPPLIES_IDS = new String[]{"armor", "double_damage", "n2o"};
private static Map<LobbyManager, DailyBonusService.Data> waitingUsers = new HashMap();
private static DailyBonusUIModel uiModel = new DailyBonusUIModel();
private static CrystallsBonusModel crystallsBonus = new CrystallsBonusModel();
private static Random random = new Random();
public static DailyBonusService instance() {
return instance;
}
private DailyBonusService() {
}
public void userInited(LobbyManager lobby) {
User user = lobby.getLocalUser();
if (user.getRang() + 1 > 2 && this.canGetBonus(user)) {
int fund = (int)(((double)(user.getRang() + 1) - 1.75D) * 2.4D) * 5;
if (fund > 0) {
DailyBonusService.Data bonusData = new DailyBonusService.Data();
List<BonusListItem> bonusList = bonusData.bonusList;
int rankFirstAid = ((Item)GarageItemsLoader.items.get("health")).rankId;
int itemCrystalPrice = ((Item)GarageItemsLoader.items.get("health")).price;
int countFirstAid = fund / itemCrystalPrice / 2;
itemCrystalPrice = ((Item)GarageItemsLoader.items.get("mine")).price;
int countMine = fund / itemCrystalPrice / 2;
int rankMine = ((Item)GarageItemsLoader.items.get("mine")).rankId;
if ((double)random.nextFloat() < 0.1D) {
bonusData.type = 1;
} else {
bonusData.type = 3;
int count;
int price;
Item bonus;
int nextInt;
if ((double)random.nextFloat() < 0.3D && countFirstAid > 0 && user.getRang() >= rankFirstAid) {
bonus = (Item)GarageItemsLoader.items.get("health");
price = bonus.price;
count = fund / price / 2 + 1;
} else if ((double)random.nextFloat() < 0.3D && countMine > 0 && user.getRang() >= rankMine) {
bonus = (Item)GarageItemsLoader.items.get("mine");
price = bonus.price;
count = fund / price / 2 + 1;
} else {
nextInt = random.nextInt(3);
bonus = (Item)GarageItemsLoader.items.get(SUPPLIES_IDS[nextInt]);
price = bonus.price;
count = fund / price / 2;
}
bonusList.add(new BonusListItem(bonus, count));
fund -= price * count;
nextInt = random.nextInt(3);
bonus = (Item)GarageItemsLoader.items.get(SUPPLIES_IDS[nextInt]);
price = bonus.price;
if (((BonusListItem)bonusList.get(0)).getBonus().equals(bonus)) {
((BonusListItem)bonusList.get(0)).addCount(fund / price);
} else {
bonusList.add(new BonusListItem(bonus, fund / price));
}
}
int count;
int price;
Item bonus;
int nextInt;
if ((double)random.nextFloat() < 0.1D){
bonusData.type = 4;
Item doubleCrystals = (Item)GarageItemsLoader.items.get("double_crystalls");
bonusList.add(new BonusListItem(doubleCrystals, 1));
fund -= doubleCrystals.price;
}
waitingUsers.put(lobby, bonusData);
Garage garage = user.getGarage();
BonusListItem item;
Item bonusItem;
for(Iterator var17 = bonusList.iterator(); var17.hasNext(); bonusItem.count += item.getCount()) {
item = (BonusListItem)var17.next();
bonusItem = garage.getItemById(item.getBonus().id);
if (bonusItem == null) {
bonusItem = ((Item)GarageItemsLoader.items.get(item.getBonus().id)).clone();
garage.items.add(bonusItem);
}
}
garage.parseJSONData();
databaseManager.update(garage);
}
}
}
public void userLoaded(LobbyManager lobby) {
DailyBonusService.Data data = (DailyBonusService.Data)waitingUsers.get(lobby);
if (data != null) {
if (data.type == 1) {
crystallsBonus.applyBonus(lobby);
uiModel.showCrystalls(lobby, crystallsBonus.getBonus(lobby.getLocalUser().getRang()));
} else if (data.type == 3) {
uiModel.showBonuses(lobby, data.bonusList);
} else if (data.type == 4) {
uiModel.showBonuses(lobby, data.bonusList);
}
waitingUsers.remove(lobby);
this.saveLastDate(lobby.getLocalUser());
}
}
public boolean canGetBonus(User user) {
if (user == null) {
return false;
} else {
boolean result = false;
Date lastDate = user.getLastIssueBonus();
Date now = new Date(System.currentTimeMillis() - 14400000L);
Calendar nowCal = Calendar.getInstance();
nowCal.setTime(now);
Calendar lastCal = Calendar.getInstance();
if (lastDate != null) {
lastCal.setTime(lastDate);
}
if (lastDate == null || nowCal.get(5) > lastCal.get(5) || nowCal.get(2) > lastCal.get(2)) {
result = true;
}
return result;
}
}
private void saveLastDate(User user) {
Date now = new Date(System.currentTimeMillis() - 14400000L);
user.setLastIssueBonus(now);
databaseManager.update(user);
}
private class Data {
public int type = 0;
public List<BonusListItem> bonusList = new ArrayList();
public Data() {
}
}
}
как для if ((double)random.nextFloat() < 0.1D){
bonusData.type = 4;
Item doubleCrystals = (Item)GarageItemsLoader.items.get("double_crystalls");
bonusList.add(new BonusListItem(doubleCrystals, 1));
fund -= doubleCrystals.price;
} сделать показ окна lobby.send(Type.LOBBY, "show_double_crystalls"); только после получения double_crystalls
|
b0df0a93d0f5a3ed777de6f8458a032c
|
{
"intermediate": 0.31398874521255493,
"beginner": 0.4652617275714874,
"expert": 0.22074945271015167
}
|
34,675
|
Как сделать так, чтобы в каждый из этих векторов запись шла по очереди? for(size_t i = 0; i < cols; i++)
{
first_col.push_back(input[i][j]);
second_col.push_back(input[i][j]);
}
|
4bcc408b804c9ebfd36d4c4f7a7220bd
|
{
"intermediate": 0.3103734850883484,
"beginner": 0.4232299029827118,
"expert": 0.2663966417312622
}
|
34,676
|
make a processing 4 project
|
c759ff449cee76ab18d88d201459e3b7
|
{
"intermediate": 0.15534070134162903,
"beginner": 0.0976385846734047,
"expert": 0.7470207214355469
}
|
34,677
|
generate jsx code
|
3797f7f4334efd35bf7db25ea1f03ea2
|
{
"intermediate": 0.22843420505523682,
"beginner": 0.474141925573349,
"expert": 0.2974238991737366
}
|
34,678
|
as path of exile expert player can make an items filter that show items with armor, armor and energy shield, minions item and currencies
|
bdb059b114ba330b5c06c1361c1acb60
|
{
"intermediate": 0.387818843126297,
"beginner": 0.19760259985923767,
"expert": 0.4145786166191101
}
|
34,679
|
按照这个文本格式- mMatcher: UriMatcher
- mHelper: NotesDatabaseHelper
- TAG: String
- NOTES_SEARCH_PROJECTION: String
…
+ onCreate(): boolean
+ query(uri: Uri, projection: String[], selection: String, selectionArgs: String[], sortOrder: String): Cursor
+ insert(uri: Uri, values: ContentValues): Uri
+ delete(uri: Uri, selection: String, selectionArgs: String[]): int
+ update(uri: Uri, values: ContentValues, selection: String, selectionArgs: String[]): int
+ getType(uri: Uri): String 将以下代码生成上述文本格式/*
* Copyright (c) 2010-2011, The MiCode Open Source Community (www.micode.net)
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package net.micode.notes.ui;
import android.app.Activity;
import android.app.AlertDialog;
import android.content.Context;
import android.content.DialogInterface;
import android.content.DialogInterface.OnClickListener;
import android.content.DialogInterface.OnDismissListener;
import android.content.Intent;
import android.media.AudioManager;
import android.media.MediaPlayer;
import android.media.RingtoneManager;
import android.net.Uri;
import android.os.Bundle;
import android.os.PowerManager;
import android.provider.Settings;
import android.view.Window;
import android.view.WindowManager;
//import net.micode.notes.R;
import com.example.namespace.R;
import net.micode.notes.data.Notes;
import net.micode.notes.tool.DataUtils;
import java.io.IOException;
public class AlarmAlertActivity extends Activity implements OnClickListener, OnDismissListener {
private long mNoteId;
private String mSnippet;
private static final int SNIPPET_PREW_MAX_LEN = 60;
MediaPlayer mPlayer;
@Override
protected void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
requestWindowFeature(Window.FEATURE_NO_TITLE);
final Window win = getWindow();
win.addFlags(WindowManager.LayoutParams.FLAG_SHOW_WHEN_LOCKED);
if (!isScreenOn()) {
win.addFlags(WindowManager.LayoutParams.FLAG_KEEP_SCREEN_ON
| WindowManager.LayoutParams.FLAG_TURN_SCREEN_ON
| WindowManager.LayoutParams.FLAG_ALLOW_LOCK_WHILE_SCREEN_ON
| WindowManager.LayoutParams.FLAG_LAYOUT_INSET_DECOR);
}
Intent intent = getIntent();
try {
mNoteId = Long.valueOf(intent.getData().getPathSegments().get(1));
mSnippet = DataUtils.getSnippetById(this.getContentResolver(), mNoteId);
mSnippet = mSnippet.length() > SNIPPET_PREW_MAX_LEN ? mSnippet.substring(0,
SNIPPET_PREW_MAX_LEN) + getResources().getString(R.string.notelist_string_info)
: mSnippet;
} catch (IllegalArgumentException e) {
e.printStackTrace();
return;
}
mPlayer = new MediaPlayer();
if (DataUtils.visibleInNoteDatabase(getContentResolver(), mNoteId, Notes.TYPE_NOTE)) {
showActionDialog();
playAlarmSound();
} else {
finish();
}
}
private boolean isScreenOn() {
PowerManager pm = (PowerManager) getSystemService(Context.POWER_SERVICE);
return pm.isScreenOn();
}
private void playAlarmSound() {
Uri url = RingtoneManager.getActualDefaultRingtoneUri(this, RingtoneManager.TYPE_ALARM);
int silentModeStreams = Settings.System.getInt(getContentResolver(),
Settings.System.MODE_RINGER_STREAMS_AFFECTED, 0);
if ((silentModeStreams & (1 << AudioManager.STREAM_ALARM)) != 0) {
mPlayer.setAudioStreamType(silentModeStreams);
} else {
mPlayer.setAudioStreamType(AudioManager.STREAM_ALARM);
}
try {
mPlayer.setDataSource(this, url);
mPlayer.prepare();
mPlayer.setLooping(true);
mPlayer.start();
} catch (IllegalArgumentException e) {
// TODO Auto-generated catch block
e.printStackTrace();
} catch (SecurityException e) {
// TODO Auto-generated catch block
e.printStackTrace();
} catch (IllegalStateException e) {
// TODO Auto-generated catch block
e.printStackTrace();
} catch (IOException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
}
private void showActionDialog() {
AlertDialog.Builder dialog = new AlertDialog.Builder(this);
dialog.setTitle(R.string.app_name);
dialog.setMessage(mSnippet);
dialog.setPositiveButton(R.string.notealert_ok, this);
if (isScreenOn()) {
dialog.setNegativeButton(R.string.notealert_enter, this);
}
dialog.show().setOnDismissListener(this);
}
public void onClick(DialogInterface dialog, int which) {
switch (which) {
case DialogInterface.BUTTON_NEGATIVE:
Intent intent = new Intent(this, NoteEditActivity.class);
intent.setAction(Intent.ACTION_VIEW);
intent.putExtra(Intent.EXTRA_UID, mNoteId);
startActivity(intent);
break;
default:
break;
}
}
public void onDismiss(DialogInterface dialog) {
stopAlarmSound();
finish();
}
private void stopAlarmSound() {
if (mPlayer != null) {
mPlayer.stop();
mPlayer.release();
mPlayer = null;
}
}
}
|
2ee63e4d971416b3ad72f49caab2b09b
|
{
"intermediate": 0.3538435995578766,
"beginner": 0.4338710308074951,
"expert": 0.21228539943695068
}
|
34,680
|
I want you to set me up pyroject.toml file for an flask project, I will use it for API requests. include in it scikit-learn and numpy package,
|
f714227a678a1733d37e87ed0b229498
|
{
"intermediate": 0.6851754784584045,
"beginner": 0.08308855444192886,
"expert": 0.2317359745502472
}
|
34,681
|
world of warcraft lua put link to chat frame shift click by link
|
5872a0b06e9dbe877aa780aac1f9747d
|
{
"intermediate": 0.30629488825798035,
"beginner": 0.4268191158771515,
"expert": 0.2668859660625458
}
|
34,682
|
I had made a motivational youtube shorts now make strong SEO title,description and tags for it
|
2a0c83fa08fa30ab7a39163dd1160a4e
|
{
"intermediate": 0.30623576045036316,
"beginner": 0.43879133462905884,
"expert": 0.254972904920578
}
|
34,683
|
Use this formula Pr{𝑡_1+…+𝑡_𝑛 > T} =∑24_(i=0)^(S−1)▒〖(𝑑∗𝑇)〗^𝑖/𝑖!∗𝑒^(−𝑑∗𝑇)≥𝑅. To calculate this Acme Automotive have trouble keeping the right number of spare parts in their storage.
There’s a bearing that is used in 15 of their turning machines, with three bearings in each. In
table 1 the number of changed bearings per month, the latest 18 months is shown.
According to the bearing manufacturer, the bearings that runs approximately 8200 h/year
should have an MTTF of 18800 h.
Considering a very long lead-time and a rather un-even demand, Acme Automotive wants to
keep 3 months’ supply of these bearings in storage. The probability of a stock-out (being out
of bearings) should not exceed 10%.
Table 1: Number of changed bearings per month.
Month Number of
failures
2021-01 5
2021-02 0
2021-03 0
2021-04 3
2021-05 4
2021-06 6
2021-07 0
2021-08 4
2021-09 0
2021-10 0
2021-11 2
2021-12 8
2022-01 1
2022-02 0
2022-03 4
2022-04 5
2022-05 0
2022-06 2
1. Find out how many bearings the company need to keep in storage to cover the need
for three months with no more than 10% probability of a shortage of bearings.
|
60cb0b6a2e6a34e89e81869b504efb60
|
{
"intermediate": 0.23155955970287323,
"beginner": 0.43185558915138245,
"expert": 0.3365848660469055
}
|
34,684
|
Yo
|
b5c619e769a21e5d2a5432d88182ee9b
|
{
"intermediate": 0.347726970911026,
"beginner": 0.2597816288471222,
"expert": 0.3924914002418518
}
|
34,685
|
Write a program that takes your year of birth
and then calculates the age
|
75b60f864241f5b1b79cad551877d016
|
{
"intermediate": 0.3515746593475342,
"beginner": 0.13288302719593048,
"expert": 0.5155423283576965
}
|
34,686
|
import numpy as np
import tensorflow as tf
from tensorflow.keras.models import Model
from tensorflow.keras.layers import Input, LSTM, Bidirectional, GRU, Concatenate, Dot, Attention, Dense,Embedding,Activation
from tensorflow.keras.preprocessing.text import Tokenizer
from tensorflow.keras.preprocessing.sequence import pad_sequences
# Define hyperparameters
max_sequence_length = 100
embedding_dim = 100
latent_dim = 256
# Load train, validate, and test data from text files
with open('D:/PHD Papers/scientific translation/Technical/Dataset/NewDataset23-11/Train.txt', 'r', encoding='utf-8') as f:
train_data = f.readlines()
with open('D:/PHD Papers/scientific translation/Technical/Dataset/NewDataset23-11/Test.txt', 'r', encoding='utf-8') as f:
test_data = f.readlines()
# Extract English and Arabic sentences from data
english_sentences_train = []
arabic_sentences_train = []
english_test = []
arabic_test = []
for line in train_data:
english, arabic = line.strip().split('\t')
english_sentences_train.append(english)
arabic_sentences_train.append(arabic)
for line in test_data:
english, arabic = line.strip().split('\t')
english_test.append(english)
arabic_test.append(arabic)
# Tokenize sentences and convert them into numerical representations
tokenizer_en = Tokenizer()
tokenizer_en.fit_on_texts(english_sentences_train)
train_data_en = tokenizer_en.texts_to_sequences(english_sentences_train)
train_data_en = pad_sequences(train_data_en, maxlen=max_sequence_length, padding='post', truncating='post')
tokenizer_ar = Tokenizer()
tokenizer_ar.fit_on_texts(arabic_sentences_train)
train_data_ar = tokenizer_ar.texts_to_sequences(arabic_sentences_train)
train_data_ar = pad_sequences(train_data_ar, maxlen=max_sequence_length, padding='post', truncating='post')
# Define encoder inputs and BiLSTM layer
encoder_inputs = Input(shape=(max_sequence_length,))
encoder_embedding = Embedding(len(tokenizer_ar.word_index) + 1, embedding_dim)(encoder_inputs)
encoder_lstm = GRU(latent_dim, return_sequences=True)(encoder_embedding)
encoder_lstm = Dense(latent_dim)(encoder_lstm)
# Define decoder inputs and BiGRU layer
decoder_inputs = Input(shape=(max_sequence_length,))
decoder_embedding = Embedding(len(tokenizer_en.word_index) + 1, embedding_dim)(decoder_inputs)
decoder_lstm = GRU(latent_dim, return_sequences=True)(decoder_embedding)
# Apply Attention mechanism
attention = Dot(axes=[2, 2])([decoder_lstm, encoder_lstm])
attention = Activation('softmax')(attention)
context = Dot(axes=[2, 1])([attention, encoder_lstm])
decoder_combined_context = Concatenate(axis=-1)([context, decoder_lstm])
# Define decoder output layer
decoder_dense = Dense(len(tokenizer_en.word_index) + 1, activation='softmax')
decoder_outputs = decoder_dense(decoder_combined_context)
# Define the model
model = Model([encoder_inputs, decoder_inputs], decoder_outputs)
model.compile(optimizer='adam', loss='sparse_categorical_crossentropy', metrics=['accuracy'])
#model.summary()
# Train the model
model.fit([train_data_ar,train_data_en], train_data_en, batch_size=64, epochs=30, validation_split=0.2)
# Use test data to evaluate the model
test_data_en = tokenizer_en.texts_to_sequences(english_test)
test_data_en = pad_sequences(test_data_en, maxlen=max_sequence_length, padding='post', truncating='post')
test_data_ar = tokenizer_ar.texts_to_sequences(arabic_test)
test_data_ar = pad_sequences(test_data_ar, maxlen=max_sequence_length, padding='post', truncating='post')
predicted_arabic = model.predict([test_data_ar,test_data_en])
decoded_arabic = tokenizer_en.sequences_to_texts(np.argmax(predicted_arabic, axis=-1))
# Print example prediction translation from test data
for i in range(len(english_test)):
# print("English sentence: ", english_test[i])
print("Predicted Arabic sentence: ", decoded_arabic[i])
|
bdccd15e763b8b95a2a00c6c5e5b3dc0
|
{
"intermediate": 0.3127017319202423,
"beginner": 0.3733465373516083,
"expert": 0.3139517605304718
}
|
34,687
|
how to redirect in flask admin view to main page of site
|
08a975894d878a3acbe3ab29ada9cb2f
|
{
"intermediate": 0.5324430465698242,
"beginner": 0.19348971545696259,
"expert": 0.274067223072052
}
|
34,688
|
python code using GRU encoder and BiLSTM decoder rnn with attention layer to translate English text to Arabic text by splitting data from file into train, validate and test then Tokenize the sentences and convert them into numerical representations ,Pad or truncate the sentences to a fixed length and use test data to get example translation from test
|
f544f7febde82de54a3444e5ed390ada
|
{
"intermediate": 0.42667362093925476,
"beginner": 0.11767429858446121,
"expert": 0.4556520879268646
}
|
34,689
|
import numpy as np
import tensorflow as tf
from tensorflow.keras.models import Model
from tensorflow.keras.layers import Input, LSTM, Bidirectional, GRU, Concatenate, Dot, Attention, Dense,Embedding,Activation
from tensorflow.keras.preprocessing.text import Tokenizer
from tensorflow.keras.preprocessing.sequence import pad_sequences
# Define hyperparameters
max_sequence_length = 100
embedding_dim = 100
latent_dim = 256
# Load train, validate, and test data from text files
with open('D:/PHD Papers/scientific translation/Technical/Dataset/NewDataset23-11/EngArbPreprocessTrain.txt', 'r', encoding='utf-8') as f:
train_data = f.readlines()
with open('D:/PHD Papers/scientific translation/Technical/Dataset/NewDataset23-11/EngArbPreprocessTest.txt', 'r', encoding='utf-8') as f:
test_data = f.readlines()
# Extract English and Arabic sentences from data
english_sentences_train = []
arabic_sentences_train = []
english_test = []
arabic_test = []
for line in train_data:
english, arabic = line.strip().split('\t')
english_sentences_train.append(english)
arabic_sentences_train.append(arabic)
for line in test_data:
english, arabic = line.strip().split('\t')
english_test.append(english)
arabic_test.append(arabic)
# Tokenize sentences and convert them into numerical representations
tokenizer_en = Tokenizer()
tokenizer_en.fit_on_texts(english_sentences_train)
train_data_en = tokenizer_en.texts_to_sequences(english_sentences_train)
train_data_en = pad_sequences(train_data_en, maxlen=max_sequence_length, padding='post', truncating='post')
tokenizer_ar = Tokenizer()
tokenizer_ar.fit_on_texts(arabic_sentences_train)
train_data_ar = tokenizer_ar.texts_to_sequences(arabic_sentences_train)
train_data_ar = pad_sequences(train_data_ar, maxlen=max_sequence_length, padding='post', truncating='post')
# Define encoder inputs and BiLSTM layer
encoder_inputs = Input(shape=(max_sequence_length,))
encoder_embedding = Embedding(len(tokenizer_en.word_index) + 1, embedding_dim)(encoder_inputs)
encoder_lstm = LSTM(latent_dim, return_sequences=True)(encoder_embedding)
encoder_lstm = Dense(latent_dim)(encoder_lstm)
# Define decoder inputs and BiGRU layer
decoder_inputs = Input(shape=(max_sequence_length,))
decoder_embedding = Embedding(len(tokenizer_ar.word_index) + 1, embedding_dim)(decoder_inputs)
decoder_lstm = Bidirectional(LSTM(latent_dim, return_sequences=True))(decoder_embedding)
# Apply Attention mechanism
attention = Dot(axes=[2, 2])([decoder_lstm, encoder_lstm])
attention = Activation('softmax')(attention)
context = Dot(axes=[2, 1])([attention, encoder_lstm])
decoder_combined_context = Concatenate(axis=-1)([context, decoder_lstm])
# Define decoder output layer
decoder_dense = Dense(len(tokenizer_ar.word_index) + 1, activation='softmax')
decoder_outputs = decoder_dense(decoder_combined_context)
# Define the model
model = Model([encoder_inputs, decoder_inputs], decoder_outputs)
model.compile(optimizer='adam', loss='sparse_categorical_crossentropy', metrics=['accuracy'])
#model.summary()
# Train the model
model.fit([train_data_en,train_data_ar], train_data_ar, batch_size=64, epochs=30, validation_split=0.2)
# Use test data to evaluate the model
test_data_en = tokenizer_en.texts_to_sequences(english_test)
test_data_en = pad_sequences(test_data_en, maxlen=max_sequence_length, padding='post', truncating='post')
test_data_ar = tokenizer_ar.texts_to_sequences(arabic_test)
test_data_ar = pad_sequences(test_data_ar, maxlen=max_sequence_length, padding='post', truncating='post')
predicted_arabic = model.predict([test_data_en,test_data_ar])
decoded_arabic = tokenizer_ar.sequences_to_texts(np.argmax(predicted_arabic, axis=-1))
# Print example prediction translation from test data
for i in range(len(english_test)):
# print("English sentence: ", english_test[i])
print("Predicted Arabic sentence: ", decoded_arabic[i])
|
77cefde55a7801e98f2713f4660be9b5
|
{
"intermediate": 0.2855304479598999,
"beginner": 0.42283791303634644,
"expert": 0.29163166880607605
}
|
34,690
|
solve for an interior point in the polyhedron
|
8c97f9262cf4aeded922f05ed2e0555b
|
{
"intermediate": 0.29256683588027954,
"beginner": 0.45258182287216187,
"expert": 0.2548513114452362
}
|
34,691
|
def start_timer():
# Get the duration from the input box, defaulting to 0 if empty
duration = int(entry.get()) if entry.get() else 0
# Disable the input box and start button
entry.config(state=tk.DISABLED)
start_btn.config(state=tk.DISABLED)
while duration > 0:
# Check keyboard input
if keyboard_input():
break
minutes, seconds = divmod(duration, 60)
timer_label.config(text=f"{minutes:02d}:{seconds:02d}“)
timer_label.update()
time.sleep(1) # Wait for 1 second
duration -= 1
timer_label.config(text=“Timer Done!”)
# Enable the input box and start button after timer finishes
entry.config(state=tk.NORMAL)
start_btn.config(state=tk.NORMAL)
def keyboard_input():
# Check for keyboard input
root.update()
for key in keys_pressed:
if key == ‘w’ or key == ‘a’ or key == ‘d’ or key == ‘s’:
return True
return False
def keydown(event):
# Add pressed key to the list
if event.keysym not in keys_pressed:
keys_pressed.append(event.keysym)
def keyup(event):
# Remove released key from the list
if event.keysym in keys_pressed:
keys_pressed.remove(event.keysym)
# Create the main window
window = tk.Tk()
window.title(“Countdown Timer”)
# Create a label for the timer
timer_label = tk.Label(window, font=(“Arial”, 80), text=“00:00”)
timer_label.pack(pady=50)
# Create an input box for the duration
entry = tk.Entry(window, font=(“Arial”, 20), width=10, justify=“center”)
entry.pack()
# Create a start button
start_btn = tk.Button(window, text=“Start”, font=(“Arial”, 20), command=start_timer)
start_btn.pack(pady=20)
# Bind keydown and keyup events
keys_pressed = []
window.bind(”<KeyPress>“, keydown)
window.bind(”<KeyRelease>", keyup)
# Run the main window loop
window.mainloop()
|
f473e398f0a2028f20f837d37671f644
|
{
"intermediate": 0.4398634731769562,
"beginner": 0.26505017280578613,
"expert": 0.29508641362190247
}
|
34,692
|
What codings do exist in ToCharacterCode function of Wolfram Matematica 9 ?
|
f0a9620c183531e366d444d209a101f0
|
{
"intermediate": 0.40553274750709534,
"beginner": 0.26624810695648193,
"expert": 0.32821911573410034
}
|
34,693
|
socket sent函数
|
5fe7e78e30f3c247b1f9069104647505
|
{
"intermediate": 0.32651424407958984,
"beginner": 0.30899620056152344,
"expert": 0.3644895851612091
}
|
34,694
|
How do i exclude a long list of programs in powershell or cmd for windows defender
|
eca550ef8397cab744e5b433f0ad2892
|
{
"intermediate": 0.3588296175003052,
"beginner": 0.39866602420806885,
"expert": 0.24250434339046478
}
|
34,695
|
on the following ts code
const reviewDataForMonth = async (selectedMonth: number): Promise<void> => {
// const currentDate = new Date();
const plSummaryBoxService = new PLService();
const response = await plSummaryBoxService.verifyIfDataExist(selectedMonth);
return response.data
};
the response has a response.data that can be true or false if response exist, on that function mention above how to return true or false?
|
60a57e8b10b3039e6d86aed4d28917a2
|
{
"intermediate": 0.46511730551719666,
"beginner": 0.38957124948501587,
"expert": 0.1453114151954651
}
|
34,696
|
how to start a venv environment with command prompt
|
ffb5df081209992c4bdce341aa68de83
|
{
"intermediate": 0.4344478249549866,
"beginner": 0.2762115001678467,
"expert": 0.2893407642841339
}
|
34,697
|
Cannot resolve symbol 'app'
|
5cba2e71a506ce0b3540693bb85ff956
|
{
"intermediate": 0.36758914589881897,
"beginner": 0.4056940972805023,
"expert": 0.22671669721603394
}
|
34,698
|
Для обфускации JS кода ты мне написал скрипт на Pythone с функциями для обфускации, однако следующая функция не работает: она не удаляет комментарии:
# Функция удаления комментариев
def remove_comments(js_code):
lines = js_code.split('\n')
cleaned_lines = []
for line in lines:
line = line.split('//')[0].strip()
if line:
cleaned_lines.append(line)
return '\n'.join(cleaned_lines)
Помоги исправить функции.
Вот весь алгоритм, если нужно:
# Функция удаления комментариев
def remove_comments(js_code):
lines = js_code.split('\n')
cleaned_lines = []
for line in lines:
line = line.split('//')[0].strip()
if line:
cleaned_lines.append(line)
return '\n'.join(cleaned_lines)
|
ba8c83f1ef17fdfc00063c0ca8aca3b6
|
{
"intermediate": 0.3191153109073639,
"beginner": 0.3742680549621582,
"expert": 0.30661657452583313
}
|
34,699
|
#include <iostream>
#include <vector>
#include <stack>
using namespace std;
int main() {
int n;
cin >> n;
vector<int> snakes(n);
for (int i = 0; i < n; i++) {
cin >> snakes[i];
}
vector<stack<int>> snakeTower;
for (int i = 0; i < n; i++) {
int snakeSize = snakes[i];
int index = -1;
for (int j = 0; j < snakeTower.size(); j++) {
if (snakeSize > snakeTower[j].top()) {
index = j;
break;
}
}
if (index != -1) {
snakeTower[index].push(snakeSize);
} else {
stack<int> newStack;
newStack.push(snakeSize);
snakeTower.push_back(newStack);
}
}
for (auto& currentStack : snakeTower) {
while (!currentStack.empty()) {
cout << currentStack.top() << "\n";
currentStack.pop();
}
cout << endl;
}
for (int i = snakeTower.size(); i < n; i++) {
cout << endl;
}
return 0;
}
что деает этот код?
|
759f7c4d3645cc5fc02e5819b4fcc15d
|
{
"intermediate": 0.3811216950416565,
"beginner": 0.309447318315506,
"expert": 0.3094310462474823
}
|
34,700
|
Does mariadb galera sync schema when a new node join?
|
795018f94a06c2815d60fe9be6746f6a
|
{
"intermediate": 0.49214836955070496,
"beginner": 0.1277158558368683,
"expert": 0.380135715007782
}
|
34,701
|
Can you help me make an end-to-end encrypted messaging app that will work when two devices are connected to the same network, python please
|
cd43867c05d49d73931fe154f2737dff
|
{
"intermediate": 0.4804854094982147,
"beginner": 0.13333386182785034,
"expert": 0.3861807584762573
}
|
34,702
|
edit docker container exposed hostname
|
8b49746c154907998e78c5be31b8cce3
|
{
"intermediate": 0.38045498728752136,
"beginner": 0.2953808605670929,
"expert": 0.32416409254074097
}
|
34,703
|
У меня есть обфускатор JS кода, написанный на питоне, однако при запуске в IDLE Shell у меня появляется ошибка в области функции комментирования. После кода напишу ошибку.
Код обфускатора:
import random
import string
import re
# Функция удаления комментариев
def remove_comments(js_code):
# Регулярное выражение для удаления многострочных комментариев
multiline_comment_pattern = r'/*[\s\S]?*/'
# Регулярное выражение для удаления однострочных комментариев
singleline_comment_pattern = r'//.(?=\n|\r|$)'
# Удаление многострочных комментариев
js_code = re.sub(multiline_comment_pattern, '', js_code, flags=re.DOTALL)
# Удаление однострочных комментариев
js_code = re.sub(singleline_comment_pattern, '', js_code, flags=re.MULTILINE)
return js_code.strip();
# Функция минимизации пробелов
def minimize_spaces(js_code):
lines = js_code.split('\n')
return ''.join(line.strip() for line in lines)
# Функция для генерации случайного имени переменной
def generate_random_name(length=10):
letters = string.ascii_letters
return ''.join(random.choice(letters) for i in range(length))
# Функция обфускации переменных
def obfuscate_variables(js_code):
var_map = {}
# Найти все объявления переменных (после ключевого слова var)
for var_name in re.findall(r'\bvar\s+(\w+)', js_code):
obfuscated_name = generate_random_name()
var_map[var_name] = obfuscated_name
# Заменить все экземпляры оригинальных имен переменных на обфусцированные имена
for original_name, obfuscated_name in var_map.items():
js_code = re.sub(r'\b' + original_name + r'\b', obfuscated_name, js_code)
return js_code
# Добавление “мертвого” кода
def add_dead_code(js_code):
dead_code = f"function {generate_random_name()}(){{console.log(’{generate_random_name()}');}}\n"
return dead_code + js_code
def obfuscate_js(js_code):
#js_code = remove_comments(js_code)
js_code = obfuscate_variables(js_code)
js_code = minimize_spaces(js_code)
#js_code = add_dead_code(js_code)
return js_code
# Исходный код javascript
original_js = """
//var cvs = document.getElementById("canvas");
var cvs = document.querySelector("canvas");
var ctx = cvs.getContext("2d"); //указывает вид игры - 2D;
// добавляем картинки и звуки в канвас
var background = new Image(); background.src="images/backgroundd.png";
var frontground = new Image(); frontground.src="images/fg.jpg";
var player = new Image(); player.src="images/playerr.png";
var upper_stalactite = new Image(); upper_stalactite.src = "images/upper_stalactitee.png";
var bottom_stalactite = new Image(); bottom_stalactite.src = "images/bottom_stalactitee.png";
var star = new Image(); star.src = "images/starr.png";
var flying = new Audio(); flying.src = "sounds/flight.mp3";
var game_over = new Audio(); game_over.src = "sounds/end.wav";
var point1 = new Audio(); point1.src = "sounds/1point.mp3";
var point2 = new Audio(); point2.src = "sounds/2points.mp3";
var point3 = new Audio(); point3.src = "sounds/3points.mp3";
var point4 = new Audio(); point4.src = "sounds/4points.mp3";
var safe_zone=180;
var xPos=45;
var yPos=225;
var score=0;
function fly() {
yPos -= 50;
flying.play();
}
document.addEventListener('keydown', function(event) {
if (event.code == 'ArrowUp'|| event.code == 'Space' || event.code=='KeyW') {
fly();
}
});
//созданием массив для препятствий и первое препятствие
var obstacle = [];
obstacle[0]= {
x: cvs.width,
y: -200
}
function draw () {
ctx.drawImage(background, 0, 0);
for (var i=0; i<obstacle.length; i++) {
ctx.drawImage(upper_stalactite, obstacle[i].x, obstacle[i].y);
ctx.drawImage(bottom_stalactite, obstacle[i].x, obstacle[i].y+upper_stalactite.height + safe_zone);
obstacle[i].x-=2;
if (obstacle[i].x==350) {
obstacle.push({x:cvs.width, y:Math.floor(Math.random()*upper_stalactite.height)-upper_stalactite.height-50})
}
if (xPos+player.width >= obstacle[i].x && xPos <= obstacle[i].x+ upper_stalactite.width && (yPos <= obstacle[i].y+upper_stalactite.height || yPos + player.height >= obstacle[i].y+upper_stalactite.height + safe_zone) || yPos + player.height >= cvs.height || yPos <= 0) {
game_over.play();
var x=0;
var ln=0;
var num=score;
if (num==0) {ln++;}
while(num>=1){
num/=10;
ln++;
}
function draw_timer () { //создал таймер через многократное использование requestAnimationFrame(draw_timer);
ctx.drawImage(background, 0, 0);
ctx.fillStyle = "#ff0000";
ctx.font = "28px Verdana";
ctx.fillText("[" + "Game Over" + "]", cvs.width/2-79, cvs.height/2-60);
ctx.fillStyle = "#DB5720";
ctx.font = "24px Verdana";
ctx.drawImage(star, cvs.width/2-25-8*ln, cvs.height/2-25);
ctx.fillText("(" + score + ")", cvs.width/2+25-8*ln, cvs.height/2+7);
x++; if (x>=100) { //через 100 проходов можно перезапускать игру
ctx.fillStyle = "#ff0000";
ctx.font = "16px Verdana";
ctx.fillText("Press any key to restart", cvs.width/2-79, 475);
document.addEventListener ("keydown", restart);
function restart (){
location.reload();
}return 0;}
requestAnimationFrame(draw_timer);
}
draw_timer();
return 0;
}
if (obstacle[i].x==0) {
if (obstacle[i].y<=-459) {
score+=4;
point4.play();
} else if (obstacle[i].y<=-451||obstacle[i].y>=-53) {
score+=3;
point3.play();
} else if (obstacle[i].y<=-436||obstacle[i].y>=-62) {
score+=2;
point2.play();
} else {
score++;
point1.play();
}}
if (obstacle[i].x%200==0) {
console.log (obstacle[i].y); }}
ctx.drawImage(player, xPos, yPos);
yPos+=4;
ctx.fillStyle = "#DB5720";;
ctx.font = "24px Verdana";
ctx.drawImage(star, 590, 452);
ctx.fillText("(" + score + ")", 640, 485);
requestAnimationFrame(draw);
if (obstacle.length > 2){ // удаляем из массива уже преодоленные препятствия
obstacle.shift();
}
}
bottom_stalactite.onload = draw;
"""
# Выполнение обфускации и печать результата
obfuscated_js = obfuscate_js(original_js)
print(obfuscated_js)
Ошибка:
Python 3.12.1 (tags/v3.12.1:2305ca5, Dec 7 2023, 22:03:25) [MSC v.1937 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license()" for more information.
= RESTART: E:\Programms\Python\Python312\Obfuscator3.py
Traceback (most recent call last):
File "E:\Programms\Python\Python312\Obfuscator3.py", line 183, in <module>
obfuscated_js = obfuscate_js(original_js)
File "E:\Programms\Python\Python312\Obfuscator3.py", line 53, in obfuscate_js
js_code = remove_comments(js_code)
File "E:\Programms\Python\Python312\Obfuscator3.py", line 15, in remove_comments
js_code = re.sub(multiline_comment_pattern, '', js_code, flags=re.DOTALL)
File "E:\Programms\Python\Python312\Lib\re\__init__.py", line 186, in sub
return _compile(pattern, flags).sub(repl, string, count)
File "E:\Programms\Python\Python312\Lib\re\__init__.py", line 307, in _compile
p = _compiler.compile(pattern, flags)
File "E:\Programms\Python\Python312\Lib\re\_compiler.py", line 745, in compile
p = _parser.parse(p, flags)
File "E:\Programms\Python\Python312\Lib\re\_parser.py", line 979, in parse
p = _parse_sub(source, state, flags & SRE_FLAG_VERBOSE, 0)
File "E:\Programms\Python\Python312\Lib\re\_parser.py", line 460, in _parse_sub
itemsappend(_parse(source, state, verbose, nested + 1,
File "E:\Programms\Python\Python312\Lib\re\_parser.py", line 690, in _parse
raise source.error("multiple repeat",
re.error: multiple repeat at position 9
Обрати внимание на
File "E:\Programms\Python\Python312\Obfuscator3.py", line 15, in remove_comments
js_code = re.sub(multiline_comment_pattern, '', js_code, flags=re.DOTALL)
|
2e6b844ef287d2182bf8ab23641be644
|
{
"intermediate": 0.30980512499809265,
"beginner": 0.5344848036766052,
"expert": 0.15571007132530212
}
|
34,704
|
bash Sets an environment variable
|
f06197fa242664fbed6b8a63f1ddf11f
|
{
"intermediate": 0.29095202684402466,
"beginner": 0.4834868311882019,
"expert": 0.2255612015724182
}
|
34,705
|
clc
%% Driver %%
Fd = 120;
Fd_max = 150;
Vi = 120;
Vi = Vi / 3.6; % Convert from km/h to m/s
%% Road %%
grad = 5; % Road gradient
mu_max = 0.8;
mu_s = 0.65;
va = 0;
va = va / 3.6; % Convert from km/h to m/s
%% Pedal %%
i = 4; % Pedal ratio
%% Servo %%
Pa = 1; % Atmospheric pressure
Pm = 0.45; % Master cylinder pressure
Do = 238; % Servo diameter
di = 75; % Servo piston diameter
factor = Fd / Fd_max;
%% Master %%
Dm = 18; % Master cylinder diameter
%% Front disk %%
Db_f = 55; % Front disk piston diameter
Db_f_o = 200; % Outer diameter of front disk
Db_f_i = 160; % Inner diameter of front disk
mu_f = 0.3; % Friction coefficient for front disk
N_f = 2; % Number of front disks
%% Rear disk %%
Db_r = 50; % Rear disk piston diameter
Db_r_o = 220; % Outer diameter of rear disk
Db_r_i = 160; % Inner diameter of rear disk
mu_r = 0.2813; % Friction coefficient for rear disk
%% Tire %%
W_N = 195; % Tire width
As_Ratio = 65; % Tire aspect ratio
rim_diameter = 15; % Rim diameter in inches
%% Vehicle characteristics %%
W = 2000; % Vehicle weight (Note: In the first code, W is in kN)
CG = 45; % Center of gravity height
CG_H = 600; % CG height
CG_L = 50; % CG lateral position
Jw = 0.8;
track = 1425; % Track width
WheelB = 2540; % Wheelbase
nf = 2; % Number of front wheels
nr = 2; % Number of rear wheels
Afr = 2; % Frontal area
%% Resistance %%
Fr = 0.007; % Rolling resistance coefficient
Cd = 0.4; % Drag coefficient
%% Calculations %%
A_servo = (pi/4) * ((Do)^2 - (di)^2);
A_master = (pi/4) * (Dm)^2;
Af = (pi/4) * (Db_f)^2;
Ar = (pi/4) * (Db_r)^2;
Rmean_f = (1e-3) * (2/3) * ((Db_f_o/2)^3 - (Db_f_i/2)^3)/((Db_f_o/2)^2 - (Db_f_i/2)^2);
Rmean_r = (1e-3) * (2/3) * ((Db_r_o/2)^3 - (Db_r_i/2)^3)/((Db_r_o/2)^2 - (Db_r_i/2)^2);
Rtire = ((W_N * As_Ratio / 100) + (rim_diameter * 25.4 / 2)) * 1e-3;
%% Force and Pressure %%
Fp = Fd * i;
F_servo = factor*(Pa - Pm) * A_servo / 10;
Pl = (Fp + F_servo) / A_master;
RR = Fr * W * 9.81 * cos(atan(grad/100)); % Rolling resistance
GR = sin(atan(grad/100)) * W * 9.81; % Gradient resistance
%% Weight distribution %%
nF_L = (2/nf) * (1 - CG_L) * W * 9.81 * (1 - CG); % Normal force on front left tire
nF_R = (2/nf) * (CG_L) * W * 9.81 * (1 - CG); % Normal force on front right tire
nR_L = (2/nr) * (1 - CG_L) * W * 9.81 * (CG); % Normal force on rear left
nR_R = (2/nr) * (CG_L) * W * 9.81 * (CG); % Normal force on rear right
%% Initial conditions %%
V = Vi; % Initial vehicle velocity
h = 0.0001; % Time step for simulation
N = 0; % Counter for iterations
X = 0; % Initial distance covered
T = 20; % Total simulation time
t = 0; % Initial time
omega = Vi / Rtire; % Initial angular velocity of tires
OMEGA = [omega omega omega omega]; % Angular velocity for each wheel
I_a = [0 0 0 0]; % Adjusted for 4 wheels
Pl_0 = 0;
Pl_pre = 0;
F_fl = 0; F_fr = 0; R_rl = 0; R_rr = 0; % Initial braking forces
a1 = -110;
a2 = -125;
a3 = 20;
a4 = 200;
Alpha = 1.5;
ACC_w = Alpha * Rtire;
control = 1;
%% Simulation loop %%
while t < T
N = N + 1;
[Pl_ramp] = Ramp(Pl, Pl_0, t, Pl_pre, control);
Pl_pre = Pl_ramp;
[T_f, T_r] = Braking_torque(Pl, Af, Ar, mu_f, mu_r, N_f, Rmean_f, Rmean_r);
Pl_pre_FL = Pl_ramp; Pl_pre_FR = Pl_ramp;
Pl_pre_RL = Pl_ramp; Pl_pre_RR = Pl_ramp;
Pline(N, 1) = Pl_ramp;
vr = V - va; % Relative velocity for air resistance calculation
Ar = 0.5 * 1.225 * Cd * Afr * vr^2; % Calculate air resistance
% Calculate total resistance
R_t = ((sign(V)) * (Ar + RR)) + GR;
% Calculate dynamics for front left wheel
ddt_FL = -(T_f - (F_fl * Rtire)) / Jw;
dt_FL = (ddt_FL * h) + OMEGA(N, 1);
vfl = dt_FL * Rtire;
ifl = (vfl / V) - 1;
ifl = max(min(ifl, 0), -1);
if ifl == -1, dt_FL = 0; end
aw_FL = ddt_FL * Rtire; % Calculate angular acceleration
if N == 1
aw_pre_FL = 0;
else
aw_pre_FL = aw_FL; % Update aw_pre_FL with the current value
end
control_FL = ABScycle(a1, a2, a3, a4, aw_FL, aw_pre_FL);
[Pl_ramp_FL] = Ramp(Pl, Pl_0, t, Pl_pre_FL, control_FL);
Pl_pre_FL = Pl_ramp_FL;
[T_f, T_dum] = Braking_torque(Pl_ramp_FL, Af, Ar, mu_f, mu_r, N_f, Rmean_f, Rmean_r);
% Same structure for the other wheels (front right, rear left, rear right)
% Calculate braking force
FB = F_fl + F_fr + R_rl + R_rr;
% Vehicle dynamics
ddx = -(R_t + ((sign(V)) * FB)) / W;
dx = (ddx * h) + V;
x = dx * h;
X = X + x;
V = dx;
% Update time, acceleration, velocity, and distance
time(N, 1) = t;
acc(N, 1) = ddx;
vel(N, 1) = V;
dist(N, 1) = X;
% Calculate tire forces
F_rr = tiremodel(irr, nR_R, mu_max);
F_rl = tiremodel(irl, nR_L, mu_max);
F_fr = tiremodel(ifr, nF_R, mu_max);
F_fl = tiremodel(ifl, nF_L, mu_max);
% Break the loop if the vehicle almost stops
if V <= 0.1
break;
end
% Increment time
t = t + h;
% Update angular velocities for next iteration
OMEGA(N + 1, :) = [dt_FL dt_FR dt_RL dt_RR];
% Update slip ratio for each wheel
I_a(N, :) = [ifl ifr irl irr];
end
% Trim vectors to the length of completed iterations
finalLength = N;
time = time(1:finalLength);
acc = acc(1:finalLength);
vel = vel(1:finalLength);
dist = dist(1:finalLength);
I_a = I_a(1:finalLength, :);
OMEGA = OMEGA(1:finalLength, :);
% Plotting the results
figure; plot(time, acc); xlabel('Time (s)'); ylabel('Acceleration (m/s^2)'); title('Acceleration vs Time');
figure; plot(time, vel); xlabel('Time (s)'); ylabel('Velocity (m/s)'); title('Velocity vs Time');
figure; plot(time, dist); xlabel('Time (s)'); ylabel('Distance (m)'); title('Distance vs Time');
figure; plot(time, I_a); xlabel('Time (s)'); ylabel('Slip Ratio (I)'); title('Slip Ratio vs Time');
figure; plot(time, OMEGA); xlabel('Time (s)'); ylabel('Wheel Angular Velocity (OMEGA)'); title('Angular Velocity vs Time');
% Final values
t_end = time(end);
vel_end = vel(end);
acc_end = acc(end);
stopping_distance = dist(end);
this code gives me irr,irl,ifr,ifl variable unknown
|
ae71daba6d3dcbd3f73f58a7fbc405c8
|
{
"intermediate": 0.35203519463539124,
"beginner": 0.36423107981681824,
"expert": 0.28373369574546814
}
|
34,706
|
these are my functions
Ramp.m
function [PL_RAMP] = Ramp(PL, PL_0, T1, PL_PRE, CONTROL)
% Define the step size for changing the pressure
PLINE_STEP = 0.2;
% Pressure Adjustment Based on Control Flag
% CONTROL = 1: Increase Pressure
% CONTROL = -1: Decrease Pressure
% CONTROL = 0: Maintain Current Pressure
if CONTROL == 1
PL_RAMP = PL_PRE + PLINE_STEP; % Increase pressure by PLINE_STEP
elseif CONTROL == -1
PL_RAMP = PL_PRE - PLINE_STEP; % Decrease pressure by PLINE_STEP
elseif CONTROL == 0
PL_RAMP = PL_PRE; % Keep pressure constant
end
% Initial Time Condition Check
% If T1 is 0 (start of simulation), set pressure to initial value PL_0
if T1 == 0
PL_RAMP = PL_0;
end
% Pressure Boundary Conditions
% Ensure PL_RAMP does not exceed maximum pressure PL
% Ensure PL_RAMP does not fall below zero
if PL_RAMP > PL
PL_RAMP = PL;
elseif PL_RAMP < 0
PL_RAMP = 0;
end
end
tiremodel.m
function [FX] = tiremodel(I, N, MU_MAX)
% Tire Slip Ratio vs. Normalized Force Lookup Table
% Column 1: Slip ratio (I)
% Column 2: Corresponding normalized force
TIRE_W = [0 0; -0.05 0.6; -0.1 0.8; -0.15 0.95; -0.2 1; -0.25 0.97; -0.3 0.94; -0.4 0.87; -0.6 0.8; -0.8 0.75; -1 0.7];
% Longitudinal Force Calculation (FX)
% Interpolate the normalized force from the lookup table based on the slip ratio (I)
% Multiply the interpolated value by the normal force (N) and the maximum friction coefficient (MU_MAX)
FX = N * (interp1(TIRE_W(:,1), TIRE_W(:,2), I)) * MU_MAX;
end
slip.m
function [FB_S, SKID] = slip(FB, N, MU_MAX, MU_S)
% Checking Skid Condition Based on Applied Braking Force and Maximum Frictional Force
% FB: Applied Braking Force
% N: Normal Force
% MU_MAX: Maximum Friction Coefficient
% MU_S: Static Friction Coefficient
% Determine if Tire is Skidding
if FB <= MU_MAX * N
% No Skid: Effective Braking Force equals Applied Force
FB_S = FB;
SKID = ‘NO’; % Set SKID status to ‘NO’ indicating no skidding
else
% Skid: Effective Braking Force limited by Static Frictional Force
FB_S = MU_S * N;
SKID = ‘YES’; % Set SKID status to ‘YES’ indicating skidding
end
end
Braking_torque.m
function [T_f, T_r] = Braking_torque(Pl, Af, Ar, mu_f, mu_r, N_f, Rmean_f, Rmean_r)
FRIC_F = Pl * Af * mu_f * N_f;
FRIC_R = Pl * Ar * mu_r * N_f;
TFRIC_F = FRIC_F * Rmean_f;
TFRIC_R = FRIC_R * Rmean_r;
T_f = TFRIC_F;
T_r = TFRIC_R;
end
ABScycle.m
function [control] = ABScycle(a1, a2, a3, a4, aw, aw_pre)
% Determine the direction of change in angular acceleration
if (aw - aw_pre) <= 0
slope = -1; % Negative slope indicates deceleration
else
slope = 1; % Positive slope indicates acceleration
end
% ABS logic based on current angular acceleration (aw) and its change (slope)
if aw <= 0
% If angular acceleration is negative or zero (decelerating wheel)
if aw > a1
% If angular acceleration is greater than threshold a1
if slope == -1
control = 1; % Increase brake pressure
elseif slope == 1
control = 0; % Hold brake pressure
end
elseif aw <= a1
% If angular acceleration is less than or equal to threshold a1
if slope == -1
control = -1; % Decrease brake pressure
elseif slope == 1
control = 0; % Hold brake pressure
end
end
else
% If angular acceleration is positive (accelerating wheel)
if aw <= a4
% If angular acceleration is less than or equal to threshold a4
if slope == 1
control = 0; % Hold brake pressure
elseif slope == -1
% If the wheel is starting to decelerate
if aw >= a3
control = 0; % Hold brake pressure
else
control = 1; % Increase brake pressure
end
end
elseif aw > a4
% If angular acceleration is greater than threshold a4
control = 1; % Increase brake pressure
end
end
end
rewrite me the code i provided this one
clc
%% Driver %%
Fd = 120;
Fd_max = 150;
Vi = 120;
Vi = Vi / 3.6; % Convert from km/h to m/s
%% Road %%
grad = 5; % Road gradient
mu_max = 0.8;
mu_s = 0.65;
va = 0;
va = va / 3.6; % Convert from km/h to m/s
%% Pedal %%
i = 4; % Pedal ratio
%% Servo %%
Pa = 1; % Atmospheric pressure
Pm = 0.45; % Master cylinder pressure
Do = 238; % Servo diameter
di = 75; % Servo piston diameter
factor = Fd / Fd_max;
%% Master %%
Dm = 18; % Master cylinder diameter
%% Front disk %%
Db_f = 55; % Front disk piston diameter
Db_f_o = 200; % Outer diameter of front disk
Db_f_i = 160; % Inner diameter of front disk
mu_f = 0.3; % Friction coefficient for front disk
N_f = 2; % Number of front disks
%% Rear disk %%
Db_r = 50; % Rear disk piston diameter
Db_r_o = 220; % Outer diameter of rear disk
Db_r_i = 160; % Inner diameter of rear disk
mu_r = 0.2813; % Friction coefficient for rear disk
%% Tire %%
W_N = 195; % Tire width
As_Ratio = 65; % Tire aspect ratio
rim_diameter = 15; % Rim diameter in inches
%% Vehicle characteristics %%
W = 2000; % Vehicle weight (Note: In the first code, W is in kN)
CG = 45; % Center of gravity height
CG_H = 600; % CG height
CG_L = 50; % CG lateral position
Jw = 0.8;
track = 1425; % Track width
WheelB = 2540; % Wheelbase
nf = 2; % Number of front wheels
nr = 2; % Number of rear wheels
Afr = 2; % Frontal area
%% Resistance %%
Fr = 0.007; % Rolling resistance coefficient
Cd = 0.4; % Drag coefficient
%% Calculations %%
A_servo = (pi/4) * ((Do)^2 - (di)^2);
A_master = (pi/4) * (Dm)^2;
Af = (pi/4) * (Db_f)^2;
Ar = (pi/4) * (Db_r)^2;
Rmean_f = (1e-3) * (2/3) * ((Db_f_o/2)^3 - (Db_f_i/2)^3)/((Db_f_o/2)^2 - (Db_f_i/2)^2);
Rmean_r = (1e-3) * (2/3) * ((Db_r_o/2)^3 - (Db_r_i/2)^3)/((Db_r_o/2)^2 - (Db_r_i/2)^2);
Rtire = ((W_N * As_Ratio / 100) + (rim_diameter * 25.4 / 2)) * 1e-3;
%% Force and Pressure %%
Fp = Fd * i;
F_servo = factor*(Pa - Pm) * A_servo / 10;
Pl = (Fp + F_servo) / A_master;
RR = Fr * W * 9.81 * cos(atan(grad/100)); % Rolling resistance
GR = sin(atan(grad/100)) * W * 9.81; % Gradient resistance
%% Weight distribution %%
nF_L = (2/nf) * (1 - CG_L) * W * 9.81 * (1 - CG); % Normal force on front left tire
nF_R = (2/nf) * (CG_L) * W * 9.81 * (1 - CG); % Normal force on front right tire
nR_L = (2/nr) * (1 - CG_L) * W * 9.81 * (CG); % Normal force on rear left
nR_R = (2/nr) * (CG_L) * W * 9.81 * (CG); % Normal force on rear right
%% Initial conditions %%
V = Vi; % Initial vehicle velocity
h = 0.0001; % Time step for simulation
N = 0; % Counter for iterations
X = 0; % Initial distance covered
T = 20; % Total simulation time
t = 0; % Initial time
omega = Vi / Rtire; % Initial angular velocity of tires
OMEGA = [omega omega omega omega]; % Angular velocity for each wheel
I_a = [0 0 0 0]; % Adjusted for 4 wheels
Pl_0 = 0;
Pl_pre = 0;
F_fl = 0; F_fr = 0; R_rl = 0; R_rr = 0; % Initial braking forces
a1 = -110;
a2 = -125;
a3 = 20;
a4 = 200;
Alpha = 1.5;
ACC_w = Alpha * Rtire;
control = 1;
%% Simulation loop %%
while t < T
N = N + 1;
[Pl_ramp] = Ramp(Pl, Pl_0, t, Pl_pre, control);
Pl_pre = Pl_ramp;
[T_f, T_r] = Braking_torque(Pl, Af, Ar, mu_f, mu_r, N_f, Rmean_f, Rmean_r);
Pl_pre_FL = Pl_ramp; Pl_pre_FR = Pl_ramp;
Pl_pre_RL = Pl_ramp; Pl_pre_RR = Pl_ramp;
Pline(N, 1) = Pl_ramp;
vr = V - va; % Relative velocity for air resistance calculation
Ar = 0.5 * 1.225 * Cd * Afr * vr^2; % Calculate air resistance
% Calculate total resistance
R_t = ((sign(V)) * (Ar + RR)) + GR;
% Calculate dynamics for front left wheel
ddt_FL = -(T_f - (F_fl * Rtire)) / Jw;
dt_FL = (ddt_FL * h) + OMEGA(N, 1);
vfl = dt_FL * Rtire;
ifl = (vfl / V) - 1;
ifl = max(min(ifl, 0), -1);
if ifl == -1, dt_FL = 0; end
aw_FL = ddt_FL * Rtire; % Calculate angular acceleration
if N == 1
aw_pre_FL = 0;
else
aw_pre_FL = aw_FL; % Update aw_pre_FL with the current value
end
control_FL = ABScycle(a1, a2, a3, a4, aw_FL, aw_pre_FL);
[Pl_ramp_FL] = Ramp(Pl, Pl_0, t, Pl_pre_FL, control_FL);
Pl_pre_FL = Pl_ramp_FL;
[T_f, T_dum] = Braking_torque(Pl_ramp_FL, Af, Ar, mu_f, mu_r, N_f, Rmean_f, Rmean_r);
% Same structure for the other wheels (front right, rear left, rear right)
% Calculate braking force
FB = F_fl + F_fr + R_rl + R_rr;
% Vehicle dynamics
ddx = -(R_t + ((sign(V)) * FB)) / W;
dx = (ddx * h) + V;
x = dx * h;
X = X + x;
V = dx;
% Update time, acceleration, velocity, and distance
time(N, 1) = t;
acc(N, 1) = ddx;
vel(N, 1) = V;
dist(N, 1) = X;
% Calculate tire forces
F_rr = tiremodel(irr, nR_R, mu_max);
F_rl = tiremodel(irl, nR_L, mu_max);
F_fr = tiremodel(ifr, nF_R, mu_max);
F_fl = tiremodel(ifl, nF_L, mu_max);
% Break the loop if the vehicle almost stops
if V <= 0.1
break;
end
% Increment time
t = t + h;
% Update angular velocities for next iteration
OMEGA(N + 1, :) = [dt_FL dt_FR dt_RL dt_RR];
% Update slip ratio for each wheel
I_a(N, :) = [ifl ifr irl irr];
end
% Trim vectors to the length of completed iterations
finalLength = N;
time = time(1:finalLength);
acc = acc(1:finalLength);
vel = vel(1:finalLength);
dist = dist(1:finalLength);
I_a = I_a(1:finalLength, :);
OMEGA = OMEGA(1:finalLength, :);
% Plotting the results
figure; plot(time, acc); xlabel(‘Time (s)’); ylabel(‘Acceleration (m/s^2)’); title(‘Acceleration vs Time’);
figure; plot(time, vel); xlabel(‘Time (s)’); ylabel(‘Velocity (m/s)’); title(‘Velocity vs Time’);
figure; plot(time, dist); xlabel(‘Time (s)’); ylabel(‘Distance (m)’); title(‘Distance vs Time’);
figure; plot(time, I_a); xlabel(‘Time (s)’); ylabel(‘Slip Ratio (I)’); title(‘Slip Ratio vs Time’);
figure; plot(time, OMEGA); xlabel(‘Time (s)’); ylabel(‘Wheel Angular Velocity (OMEGA)’); title(‘Angular Velocity vs Time’);
% Final values
t_end = time(end);
vel_end = vel(end);
acc_end = acc(end);
stopping_distance = dist(end);
and fix it and fix all the inconsistencies
|
aeedc36ccb4c93d47dbcaceaae5c3734
|
{
"intermediate": 0.3193601369857788,
"beginner": 0.4407229721546173,
"expert": 0.2399168759584427
}
|
34,707
|
Объедени эти два метода в конце должен остться метод с именем LoadImagesToImageList
private void LoadImageToImageList(string imageFileName)
{
if (!ImageList.Images.ContainsKey(imageFileName))
{
string imagePath = Path.Combine(AppDomain.CurrentDomain.BaseDirectory, "BuyMenu", "ItemsIco", imageFileName + ".png");
if (File.Exists(imagePath))
{
using (var bmpTemp = new Bitmap(imagePath))
{
ImageList.Images.Add(imageFileName, new Bitmap(bmpTemp));
}
}
}
}
public void LoadImagesToImageList()
{
foreach (var item in itemsList.GetItems())
{
// Получаем ImageFileName для текущего item
string imageFileName = item.GetImageFileName();
LoadImageToImageList(imageFileName);
}
}
|
58d80f164c6ce86228d746ddcb8cb434
|
{
"intermediate": 0.3216983675956726,
"beginner": 0.3465123474597931,
"expert": 0.3317892849445343
}
|
34,708
|
these are my functions
Ramp.m
function [PL_RAMP] = Ramp(PL, PL_0, T1, PL_PRE, CONTROL)
% Define the step size for changing the pressure
PLINE_STEP = 0.2;
% Pressure Adjustment Based on Control Flag
% CONTROL = 1: Increase Pressure
% CONTROL = -1: Decrease Pressure
% CONTROL = 0: Maintain Current Pressure
if CONTROL == 1
PL_RAMP = PL_PRE + PLINE_STEP; % Increase pressure by PLINE_STEP
elseif CONTROL == -1
PL_RAMP = PL_PRE - PLINE_STEP; % Decrease pressure by PLINE_STEP
elseif CONTROL == 0
PL_RAMP = PL_PRE; % Keep pressure constant
end
% Initial Time Condition Check
% If T1 is 0 (start of simulation), set pressure to initial value PL_0
if T1 == 0
PL_RAMP = PL_0;
end
% Pressure Boundary Conditions
% Ensure PL_RAMP does not exceed maximum pressure PL
% Ensure PL_RAMP does not fall below zero
if PL_RAMP > PL
PL_RAMP = PL;
elseif PL_RAMP < 0
PL_RAMP = 0;
end
end
tiremodel.m
function [FX] = tiremodel(I, N, MU_MAX)
% Tire Slip Ratio vs. Normalized Force Lookup Table
% Column 1: Slip ratio (I)
% Column 2: Corresponding normalized force
TIRE_W = [0 0; -0.05 0.6; -0.1 0.8; -0.15 0.95; -0.2 1; -0.25 0.97; -0.3 0.94; -0.4 0.87; -0.6 0.8; -0.8 0.75; -1 0.7];
% Longitudinal Force Calculation (FX)
% Interpolate the normalized force from the lookup table based on the slip ratio (I)
% Multiply the interpolated value by the normal force (N) and the maximum friction coefficient (MU_MAX)
FX = N * (interp1(TIRE_W(:,1), TIRE_W(:,2), I)) * MU_MAX;
end
slip.m
function [FB_S, SKID] = slip(FB, N, MU_MAX, MU_S)
% Checking Skid Condition Based on Applied Braking Force and Maximum Frictional Force
% FB: Applied Braking Force
% N: Normal Force
% MU_MAX: Maximum Friction Coefficient
% MU_S: Static Friction Coefficient
% Determine if Tire is Skidding
if FB <= MU_MAX * N
% No Skid: Effective Braking Force equals Applied Force
FB_S = FB;
SKID = ‘NO’; % Set SKID status to ‘NO’ indicating no skidding
else
% Skid: Effective Braking Force limited by Static Frictional Force
FB_S = MU_S * N;
SKID = ‘YES’; % Set SKID status to ‘YES’ indicating skidding
end
end
Braking_torque.m
function [T_f, T_r] = Braking_torque(Pl, Af, Ar, mu_f, mu_r, N_f, Rmean_f, Rmean_r)
FRIC_F = Pl * Af * mu_f * N_f;
FRIC_R = Pl * Ar * mu_r * N_f;
TFRIC_F = FRIC_F * Rmean_f;
TFRIC_R = FRIC_R * Rmean_r;
T_f = TFRIC_F;
T_r = TFRIC_R;
end
ABScycle.m
function [control] = ABScycle(a1, a2, a3, a4, aw, aw_pre)
% Determine the direction of change in angular acceleration
if (aw - aw_pre) <= 0
slope = -1; % Negative slope indicates deceleration
else
slope = 1; % Positive slope indicates acceleration
end
% ABS logic based on current angular acceleration (aw) and its change (slope)
if aw <= 0
% If angular acceleration is negative or zero (decelerating wheel)
if aw > a1
% If angular acceleration is greater than threshold a1
if slope == -1
control = 1; % Increase brake pressure
elseif slope == 1
control = 0; % Hold brake pressure
end
elseif aw <= a1
% If angular acceleration is less than or equal to threshold a1
if slope == -1
control = -1; % Decrease brake pressure
elseif slope == 1
control = 0; % Hold brake pressure
end
end
else
% If angular acceleration is positive (accelerating wheel)
if aw <= a4
% If angular acceleration is less than or equal to threshold a4
if slope == 1
control = 0; % Hold brake pressure
elseif slope == -1
% If the wheel is starting to decelerate
if aw >= a3
control = 0; % Hold brake pressure
else
control = 1; % Increase brake pressure
end
end
elseif aw > a4
% If angular acceleration is greater than threshold a4
control = 1; % Increase brake pressure
end
end
end
and this is the main script
clc
%% Driver %%
Fd = 120;
Fd_max = 150;
Vi = 120;
Vi = Vi / 3.6; % Convert from km/h to m/s
%% Road %%
grad = 5; % Road gradient
mu_max = 0.8;
mu_s = 0.65;
va = 0;
va = va / 3.6; % Convert from km/h to m/s
%% Pedal %%
i = 4; % Pedal ratio
%% Servo %%
Pa = 1; % Atmospheric pressure
Pm = 0.45; % Master cylinder pressure
Do = 238; % Servo diameter
di = 75; % Servo piston diameter
factor = Fd / Fd_max;
%% Master %%
Dm = 18; % Master cylinder diameter
%% Front disk %%
Db_f = 55; % Front disk piston diameter
Db_f_o = 200; % Outer diameter of front disk
Db_f_i = 160; % Inner diameter of front disk
mu_f = 0.3; % Friction coefficient for front disk
N_f = 2; % Number of front disks
%% Rear disk %%
Db_r = 50; % Rear disk piston diameter
Db_r_o = 220; % Outer diameter of rear disk
Db_r_i = 160; % Inner diameter of rear disk
mu_r = 0.2813; % Friction coefficient for rear disk
%% Tire %%
W_N = 195; % Tire width
As_Ratio = 65; % Tire aspect ratio
rim_diameter = 15; % Rim diameter in inches
%% Vehicle characteristics %%
W = 2000; % Vehicle weight (Note: In the first code, W is in kN)
CG = 45; % Center of gravity height
CG_H = 600; % CG height
CG_L = 50; % CG lateral position
Jw = 0.8;
track = 1425; % Track width
WheelB = 2540; % Wheelbase
nf = 2; % Number of front wheels
nr = 2; % Number of rear wheels
Afr = 2; % Frontal area
%% Resistance %%
Fr = 0.007; % Rolling resistance coefficient
Cd = 0.4; % Drag coefficient
%% Calculations %%
A_servo = (pi/4) * ((Do)^2 - (di)^2);
A_master = (pi/4) * (Dm)^2;
Af = (pi/4) * (Db_f)^2;
Ar = (pi/4) * (Db_r)^2;
Rmean_f = (1e-3) * (2/3) * ((Db_f_o/2)^3 - (Db_f_i/2)^3)/((Db_f_o/2)^2 - (Db_f_i/2)^2);
Rmean_r = (1e-3) * (2/3) * ((Db_r_o/2)^3 - (Db_r_i/2)^3)/((Db_r_o/2)^2 - (Db_r_i/2)^2);
Rtire = ((W_N * As_Ratio / 100) + (rim_diameter * 25.4 / 2)) * 1e-3;
%% Force and Pressure %%
Fp = Fd * i;
F_servo = factor*(Pa - Pm) * A_servo / 10;
Pl = (Fp + F_servo) / A_master;
RR = Fr * W * 9.81 * cos(atan(grad/100)); % Rolling resistance
GR = sin(atan(grad/100)) * W * 9.81; % Gradient resistance
%% Weight distribution %%
nF_L = (2/nf) * (1 - CG_L) * W * 9.81 * (1 - CG); % Normal force on front left tire
nF_R = (2/nf) * (CG_L) * W * 9.81 * (1 - CG); % Normal force on front right tire
nR_L = (2/nr) * (1 - CG_L) * W * 9.81 * (CG); % Normal force on rear left
nR_R = (2/nr) * (CG_L) * W * 9.81 * (CG); % Normal force on rear right
%% Initial conditions %%
V = Vi; % Initial vehicle velocity
h = 0.0001; % Time step for simulation
N = 0; % Counter for iterations
X = 0; % Initial distance covered
T = 20; % Total simulation time
t = 0; % Initial time
omega = Vi / Rtire; % Initial angular velocity of tires
OMEGA = [omega omega omega omega]; % Angular velocity for each wheel
I_a = [0 0 0 0]; % Adjusted for 4 wheels
Pl_0 = 0;
Pl_pre = 0;
F_fl = 0; F_fr = 0; R_rl = 0; R_rr = 0; % Initial braking forces
a1 = -110;
a2 = -125;
a3 = 20;
a4 = 200;
Alpha = 1.5;
ACC_w = Alpha * Rtire;
control = 1;
%% Simulation loop %%
while t < T
N = N + 1;
[Pl_ramp] = Ramp(Pl, Pl_0, t, Pl_pre, control);
Pl_pre = Pl_ramp;
[T_f, T_r] = Braking_torque(Pl, Af, Ar, mu_f, mu_r, N_f, Rmean_f, Rmean_r);
Pl_pre_FL = Pl_ramp; Pl_pre_FR = Pl_ramp;
Pl_pre_RL = Pl_ramp; Pl_pre_RR = Pl_ramp;
Pline(N, 1) = Pl_ramp;
vr = V - va; % Relative velocity for air resistance calculation
Ar = 0.5 * 1.225 * Cd * Afr * vr^2; % Calculate air resistance
% Calculate total resistance
R_t = ((sign(V)) * (Ar + RR)) + GR;
% Calculate dynamics for front left wheel
ddt_FL = -(T_f - (F_fl * Rtire)) / Jw;
dt_FL = (ddt_FL * h) + OMEGA(N, 1);
vfl = dt_FL * Rtire;
ifl = (vfl / V) - 1;
ifl = max(min(ifl, 0), -1);
if ifl == -1, dt_FL = 0; end
aw_FL = ddt_FL * Rtire; % Calculate angular acceleration
if N == 1
aw_pre_FL = 0;
else
aw_pre_FL = aw_FL; % Update aw_pre_FL with the current value
end
control_FL = ABScycle(a1, a2, a3, a4, aw_FL, aw_pre_FL);
[Pl_ramp_FL] = Ramp(Pl, Pl_0, t, Pl_pre_FL, control_FL);
Pl_pre_FL = Pl_ramp_FL;
[T_f, T_dum] = Braking_torque(Pl_ramp_FL, Af, Ar, mu_f, mu_r, N_f, Rmean_f, Rmean_r);
% Same structure for the other wheels (front right, rear left, rear right)
% Calculate braking force
FB = F_fl + F_fr + R_rl + R_rr;
% Vehicle dynamics
ddx = -(R_t + ((sign(V)) * FB)) / W;
dx = (ddx * h) + V;
x = dx * h;
X = X + x;
V = dx;
% Update time, acceleration, velocity, and distance
time(N, 1) = t;
acc(N, 1) = ddx;
vel(N, 1) = V;
dist(N, 1) = X;
% Calculate tire forces
F_rr = tiremodel(irr, nR_R, mu_max);
F_rl = tiremodel(irl, nR_L, mu_max);
F_fr = tiremodel(ifr, nF_R, mu_max);
F_fl = tiremodel(ifl, nF_L, mu_max);
% Break the loop if the vehicle almost stops
if V <= 0.1
break;
end
% Increment time
t = t + h;
% Update angular velocities for next iteration
OMEGA(N + 1, :) = [dt_FL dt_FR dt_RL dt_RR];
% Update slip ratio for each wheel
I_a(N, :) = [ifl ifr irl irr];
end
% Trim vectors to the length of completed iterations
finalLength = N;
time = time(1:finalLength);
acc = acc(1:finalLength);
vel = vel(1:finalLength);
dist = dist(1:finalLength);
I_a = I_a(1:finalLength, :);
OMEGA = OMEGA(1:finalLength, :);
% Plotting the results
figure; plot(time, acc); xlabel(‘Time (s)’); ylabel(‘Acceleration (m/s^2)’); title(‘Acceleration vs Time’);
figure; plot(time, vel); xlabel(‘Time (s)’); ylabel(‘Velocity (m/s)’); title(‘Velocity vs Time’);
figure; plot(time, dist); xlabel(‘Time (s)’); ylabel(‘Distance (m)’); title(‘Distance vs Time’);
figure; plot(time, I_a); xlabel(‘Time (s)’); ylabel(‘Slip Ratio (I)’); title(‘Slip Ratio vs Time’);
figure; plot(time, OMEGA); xlabel(‘Time (s)’); ylabel(‘Wheel Angular Velocity (OMEGA)’); title(‘Angular Velocity vs Time’);
% Final values
t_end = time(end);
vel_end = vel(end);
acc_end = acc(end);
stopping_distance = dist(end);
fix my script make it function but don't change the main functionality of it please and use the functions i provided if the functions need fixing fix them too but dont change the main functionality this script is intended to simulate ABS car breaking system on matlab
|
76cbf7a39d5572589070863e3fc37f42
|
{
"intermediate": 0.3193601369857788,
"beginner": 0.4407229721546173,
"expert": 0.2399168759584427
}
|
34,709
|
you gave me this code
Creating a complete MATLAB simulation for a car ABS (Anti-lock Braking System) is a complex task that would typically involve several hours of programming and testing. However, I can provide an outline and describe what each of these functions might look like in MATLAB code. This high-level overview will give you an idea of what to expect but keep in mind actual implementation details might vary based on the specific requirements of the ABS model and the fidelity of the simulation.
1. Braking torque function: This function would calculate the torque applied by the brakes based on input parameters such as brake pressure, brake pad coefficient of friction, etc.
function torque = BrakingTorque(brakePressure, padCoeff, rotorRadius)
% Simplified brake torque calculation
torque = brakePressure * padCoeff * rotorRadius;
end
2. Ramp function: A ramp function might be used to model how the braking force is applied over time, starting from zero and increasing to the maximum level.
function output = RampFunction(time, rampDuration)
% Linear ramp from 0 to 1 over the duration
if time < rampDuration
output = time / rampDuration;
else
output = 1;
end
end
3. Slip function: This function would calculate the slip ratio of the tire, which is important for determining when ABS should activate to prevent wheel lock-up.
function slipRatio = SlipFunction(wheelSpeed, vehicleSpeed)
if vehicleSpeed == 0
slipRatio = 0; % Prevent division by zero
else
slipRatio = (vehicleSpeed - wheelSpeed) / abs(vehicleSpeed);
end
end
4. ABS cycle function: This function simulates the ABS control logic that modulates brake pressure to prevent locking.
function [brakePressure, isABSActive] = ABSCycle(slipRatio, brakePressure, threshold)
isABSActive = false;
if slipRatio > threshold
brakePressure = brakePressure * 0.9; % Reduce pressure
isABSActive = true;
elseif slipRatio < threshold*0.8
brakePressure = brakePressure * 1.1; % Increase pressure
end
end
5. Tire model function: This would model the tire dynamics, including the longitudinal force which is dependent on tire-road interaction, slip ratio, and other factors.
function [longitudinalForce, tireGrip] = TireModel(slipRatio, normalLoad, frictionCoeff)
% Pacejka’s ‘Magic Formula’ or another appropriate tire force model would go here
% For simplification, let’s use a linear model:
tireGrip = frictionCoeff * normalLoad;
longitudinalForce = tireGrip * slipRatio;
end
6. Main script: This script ties all of the functions together. It would contain the simulation loop that updates at each time step and uses the functions above to calculate the system’s behavior.
clc; clear; close all;
% Simulation parameters
timeStep = 0.01;
simulationDuration = 5;
numberOfSteps = simulationDuration / timeStep;
% Initial conditions
vehicleSpeed = 100 / 3.6; % Initial speed (100 km/h in m/s)
wheelSpeed = vehicleSpeed; % Assuming no slip initially
brakePressure = 0; % No braking at the start
normalLoad = 4000; % Normal force in Newtons
frictionCoeff = 0.7; % Coefficient of friction
for step = 1:numberOfSteps
currentTime = step * timeStep;
% Gradually apply braking torque using a ramp function
appliedBrake = RampFunction(currentTime, 0.5) * 10000;
% Calculate slip ratio
slipRatio = SlipFunction(wheelSpeed, vehicleSpeed);
% ABS control logic
[brakePressure, isABSActive] = ABSCycle(slipRatio, brakePressure, 0.15);
% Calculate the braking force
brakingTorque = BrakingTorque(min(brakePressure, appliedBrake), frictionCoeff, 0.3);
% Calculate tire forces
[longitudinalForce, ~] = TireModel(slipRatio, normalLoad, frictionCoeff);
% Update vehicle dynamics
% This is where you would include vehicle and wheel dynamics equations
% Assuming simplified linear deceleration for this example
deceleration = longitudinalForce / vehicleMass;
% Update speeds
vehicleSpeed = max(vehicleSpeed - deceleration * timeStep, 0);
wheelSpeed = vehicleSpeed - slipRatio * vehicleSpeed; % Simplified relationship between wheel and vehicle speed
% Store data for post-processing and plotting
brakePressureHistory(step) = brakePressure;
wheelSpeedHistory(step) = wheelSpeed;
vehicleSpeedHistory(step) = vehicleSpeed;
slipRatioHistory(step) = slipRatio;
isABSActiveHistory(step) = isABSActive;
end
% Post-processing: plot results
timeVector = (0 : numberOfSteps - 1) * timeStep;
figure;
subplot(3,1,1);
plot(timeVector, vehicleSpeedHistory * 3.6);
xlabel(‘Time (s)’); ylabel(‘Vehicle Speed (km/h)’);
title(‘Vehicle Speed vs. Time’);
subplot(3,1,2);
plot(timeVector, wheelSpeedHistory * 3.6);
xlabel(‘Time (s)’); ylabel(‘Wheel Speed (km/h)’);
title(‘Wheel Speed vs. Time’);
subplot(3,1,3);
plot(timeVector, isABSActiveHistory);
xlabel(‘Time (s)’); ylabel(‘ABS Active (0 or 1)’);
title(‘ABS Activity vs. Time’);
linkaxes(findall(gcf,‘type’,‘axes’), ‘x’);
The main script provides a simple structure for a simulation loop where all the parts of the ABS system are integrated. Note that this code is illustrative and would require more detail and refinement for an accurate simulation, including proper modeling of vehicle and wheel dynamics, more sophisticated tire force calculations, effective implementation of ABS control logic, and ensuring stability and accuracy of the numerical simulation.
|
138a5f9b9c2656bbc5f030fdbbd5af8a
|
{
"intermediate": 0.29622963070869446,
"beginner": 0.49042901396751404,
"expert": 0.2133413851261139
}
|
34,710
|
clc;
clearvars;
% Simulation parameters
timeStep = 0.01;
simulationDuration = 5;
numberOfSteps = simulationDuration / timeStep;
% Initial conditions
vehicleSpeed = 100 / 3.6; % Initial speed (100 km/h in m/s)
wheelSpeed = vehicleSpeed; % Assuming no slip initially
brakePressure = 0; % No braking at the start
normalLoad = 4000; % Normal force in Newtons
frictionCoeff = 0.7; % Coefficient of friction
vehicleMass = 1500; % Vehicle mass in kg (example value)
for step = 1:numberOfSteps
currentTime = step * timeStep;
% Gradually apply braking torque using a ramp function
appliedBrake = RampFunction(currentTime, 0.5) * 10000;
% Calculate slip ratio
slipRatio = SlipFunction(wheelSpeed, vehicleSpeed);
% ABS control logic
[brakePressure, isABSActive] = ABSCycle(slipRatio, brakePressure, 0.15);
% Calculate the braking force
brakingTorque = BrakingTorque(min(brakePressure, appliedBrake), frictionCoeff, 0.3);
% Calculate tire forces
[longitudinalForce, ~] = TireModel(slipRatio, normalLoad, frictionCoeff);
% Update vehicle dynamics
% This is where you would include vehicle and wheel dynamics equations
% Assuming simplified linear deceleration for this example
deceleration = longitudinalForce / vehicleMass;
% Update speeds
vehicleSpeed = max(vehicleSpeed - deceleration * timeStep, 0);
wheelSpeed = vehicleSpeed - slipRatio * vehicleSpeed; % Simplified relationship between wheel and vehicle speed
% Store data for post-processing and plotting
brakePressureHistory(step) = brakePressure;
wheelSpeedHistory(step) = wheelSpeed;
vehicleSpeedHistory(step) = vehicleSpeed;
slipRatioHistory(step) = slipRatio;
isABSActiveHistory(step) = isABSActive;
end
% Post-processing: plot results
timeVector = (0 : numberOfSteps - 1) * timeStep;
figure;
subplot(3,1,1);
plot(timeVector, vehicleSpeedHistory * 3.6);
xlabel("Time (s)"); ylabel("Vehicle Speed (km/h)");
title("Vehicle Speed vs. Time");
subplot(3,1,2);
plot(timeVector, wheelSpeedHistory * 3.6);
xlabel("Time (s)"); ylabel("Wheel Speed (km/h)");
title("Wheel Speed vs. Time");
subplot(3,1,3);
plot(timeVector, isABSActiveHistory);
xlabel("Time (s)"); ylabel("ABS Active (0 or 1)");
title("ABS Activity vs. Time");
linkaxes(findall(gcf,"type","axes"), "x");
this code gives me absactivity vs time =0 and velocity and wheels speed =100 over the 5 seconds of simulation fix it for me and make the simulation time 20 seconds
|
08ef536b1ba1055812e321997e1e4d78
|
{
"intermediate": 0.3452324867248535,
"beginner": 0.4126291275024414,
"expert": 0.24213838577270508
}
|
34,711
|
clc;
clearvars;
% Simulation parameters
timeStep = 0.01;
simulationDuration = 5;
numberOfSteps = simulationDuration / timeStep;
% Initial conditions
vehicleSpeed = 100 / 3.6; % Initial speed (100 km/h in m/s)
wheelSpeed = vehicleSpeed; % Assuming no slip initially
brakePressure = 0; % No braking at the start
normalLoad = 4000; % Normal force in Newtons
frictionCoeff = 0.7; % Coefficient of friction
vehicleMass = 1500; % Vehicle mass in kg (example value)
for step = 1:numberOfSteps
currentTime = step * timeStep;
% Gradually apply braking torque using a ramp function
appliedBrake = RampFunction(currentTime, 0.5) * 10000;
% Calculate slip ratio
slipRatio = SlipFunction(wheelSpeed, vehicleSpeed);
% ABS control logic
[brakePressure, isABSActive] = ABSCycle(slipRatio, brakePressure, 0.15);
% Calculate the braking force
brakingTorque = BrakingTorque(min(brakePressure, appliedBrake), frictionCoeff, 0.3);
% Calculate tire forces
[longitudinalForce, ~] = TireModel(slipRatio, normalLoad, frictionCoeff);
% Update vehicle dynamics
% This is where you would include vehicle and wheel dynamics equations
% Assuming simplified linear deceleration for this example
deceleration = longitudinalForce / vehicleMass;
% Update speeds
vehicleSpeed = max(vehicleSpeed - deceleration * timeStep, 0);
wheelSpeed = vehicleSpeed - slipRatio * vehicleSpeed; % Simplified relationship between wheel and vehicle speed
% Store data for post-processing and plotting
brakePressureHistory(step) = brakePressure;
wheelSpeedHistory(step) = wheelSpeed;
vehicleSpeedHistory(step) = vehicleSpeed;
slipRatioHistory(step) = slipRatio;
isABSActiveHistory(step) = isABSActive;
end
% Post-processing: plot results
timeVector = (0 : numberOfSteps - 1) * timeStep;
figure;
subplot(3,1,1);
plot(timeVector, vehicleSpeedHistory * 3.6);
xlabel(“Time (s)”); ylabel(“Vehicle Speed (km/h)”);
title(“Vehicle Speed vs. Time”);
subplot(3,1,2);
plot(timeVector, wheelSpeedHistory * 3.6);
xlabel(“Time (s)”); ylabel(“Wheel Speed (km/h)”);
title(“Wheel Speed vs. Time”);
subplot(3,1,3);
plot(timeVector, isABSActiveHistory);
xlabel(“Time (s)”); ylabel(“ABS Active (0 or 1)”);
title(“ABS Activity vs. Time”);
linkaxes(findall(gcf,“type”,“axes”), “x”);
this code gives me absactivity vs time =0 and velocity and wheels speed =100 over the 5 seconds of simulation fix it for me and make the simulation time 20 seconds
these are my functions
Ramp.m
function [PL_RAMP] = Ramp(PL, PL_0, T1, PL_PRE, CONTROL)
% Define the step size for changing the pressure
PLINE_STEP = 0.2;
% Pressure Adjustment Based on Control Flag
% CONTROL = 1: Increase Pressure
% CONTROL = -1: Decrease Pressure
% CONTROL = 0: Maintain Current Pressure
if CONTROL == 1
PL_RAMP = PL_PRE + PLINE_STEP; % Increase pressure by PLINE_STEP
elseif CONTROL == -1
PL_RAMP = PL_PRE - PLINE_STEP; % Decrease pressure by PLINE_STEP
elseif CONTROL == 0
PL_RAMP = PL_PRE; % Keep pressure constant
end
% Initial Time Condition Check
% If T1 is 0 (start of simulation), set pressure to initial value PL_0
if T1 == 0
PL_RAMP = PL_0;
end
% Pressure Boundary Conditions
% Ensure PL_RAMP does not exceed maximum pressure PL
% Ensure PL_RAMP does not fall below zero
if PL_RAMP > PL
PL_RAMP = PL;
elseif PL_RAMP < 0
PL_RAMP = 0;
end
end
tiremodel.m
function [FX] = tiremodel(I, N, MU_MAX)
% Tire Slip Ratio vs. Normalized Force Lookup Table
% Column 1: Slip ratio (I)
% Column 2: Corresponding normalized force
TIRE_W = [0 0; -0.05 0.6; -0.1 0.8; -0.15 0.95; -0.2 1; -0.25 0.97; -0.3 0.94; -0.4 0.87; -0.6 0.8; -0.8 0.75; -1 0.7];
% Longitudinal Force Calculation (FX)
% Interpolate the normalized force from the lookup table based on the slip ratio (I)
% Multiply the interpolated value by the normal force (N) and the maximum friction coefficient (MU_MAX)
FX = N * (interp1(TIRE_W(:,1), TIRE_W(:,2), I)) * MU_MAX;
end
slip.m
function [FB_S, SKID] = slip(FB, N, MU_MAX, MU_S)
% Checking Skid Condition Based on Applied Braking Force and Maximum Frictional Force
% FB: Applied Braking Force
% N: Normal Force
% MU_MAX: Maximum Friction Coefficient
% MU_S: Static Friction Coefficient
% Determine if Tire is Skidding
if FB <= MU_MAX * N
% No Skid: Effective Braking Force equals Applied Force
FB_S = FB;
SKID = ‘NO’; % Set SKID status to ‘NO’ indicating no skidding
else
% Skid: Effective Braking Force limited by Static Frictional Force
FB_S = MU_S * N;
SKID = ‘YES’; % Set SKID status to ‘YES’ indicating skidding
end
end
Braking_torque.m
function [T_f, T_r] = Braking_torque(Pl, Af, Ar, mu_f, mu_r, N_f, Rmean_f, Rmean_r)
FRIC_F = Pl * Af * mu_f * N_f;
FRIC_R = Pl * Ar * mu_r * N_f;
TFRIC_F = FRIC_F * Rmean_f;
TFRIC_R = FRIC_R * Rmean_r;
T_f = TFRIC_F;
T_r = TFRIC_R;
end
ABScycle.m
function [control] = ABScycle(a1, a2, a3, a4, aw, aw_pre)
% Determine the direction of change in angular acceleration
if (aw - aw_pre) <= 0
slope = -1; % Negative slope indicates deceleration
else
slope = 1; % Positive slope indicates acceleration
end
% ABS logic based on current angular acceleration (aw) and its change (slope)
if aw <= 0
% If angular acceleration is negative or zero (decelerating wheel)
if aw > a1
% If angular acceleration is greater than threshold a1
if slope == -1
control = 1; % Increase brake pressure
elseif slope == 1
control = 0; % Hold brake pressure
end
elseif aw <= a1
% If angular acceleration is less than or equal to threshold a1
if slope == -1
control = -1; % Decrease brake pressure
elseif slope == 1
control = 0; % Hold brake pressure
end
end
else
% If angular acceleration is positive (accelerating wheel)
if aw <= a4
% If angular acceleration is less than or equal to threshold a4
if slope == 1
control = 0; % Hold brake pressure
elseif slope == -1
% If the wheel is starting to decelerate
if aw >= a3
control = 0; % Hold brake pressure
else
control = 1; % Increase brake pressure
end
end
elseif aw > a4
% If angular acceleration is greater than threshold a4
control = 1; % Increase brake pressure
end
end
end
|
04642644a4e1af742be97a5ea3e2d2ad
|
{
"intermediate": 0.3707122504711151,
"beginner": 0.27015483379364014,
"expert": 0.3591328561306
}
|
34,712
|
this is a matlab script that i wrote to simulate car braking ABS system
clc;
clearvars;
% Simulation parameters
timeStep = 0.01;
simulationDuration = 20; % Changed to 20 seconds
numberOfSteps = simulationDuration / timeStep;
% Initial conditions
vehicleSpeed = 100 / 3.6; % Initial speed (100 km/h in m/s)
wheelSpeed = vehicleSpeed; % Assuming no slip initially
brakePressure = 0; % No braking at the start
normalLoad = 4000; % Normal force in Newtons
frictionCoeff = 0.7; % Coefficient of friction
vehicleMass = 1500; % Vehicle mass in kg (example value)
% Create storage for data
brakePressureHistory = zeros(1, numberOfSteps);
wheelSpeedHistory = zeros(1, numberOfSteps);
vehicleSpeedHistory = zeros(1, numberOfSteps);
slipRatioHistory = zeros(1, numberOfSteps);
isABSActiveHistory = zeros(1, numberOfSteps);
% Define ABS function parameters
absThreshold = 0.15; % ABS intervention threshold for slip ratio
absDropPressure = 0.2; % Pressure drop per cycle when ABS is active
for step = 1:numberOfSteps
currentTime = step * timeStep;
% Gradually apply braking torque using a linear increase function
% Update: Using a simpler approach without the RampFunction
appliedBrake = min(currentTime / 0.5, 1) * 10000;
% Calculate slip ratio
% Update: Assuming slipRatio is wheelSpeed / vehicleSpeed - 1
slipRatio = max((wheelSpeed / vehicleSpeed) - 1, 0);
% Update ABS control logic based on the slip ratio
if slipRatio > absThreshold
brakePressure = max(brakePressure - absDropPressure, 0);
isABSActive = 1;
else
brakePressure = min(brakePressure + 0.01, appliedBrake);
isABSActive = 0;
end
% Calculate the braking force based on brake pressure
brakingTorque = brakePressure; % Simplified model, assuming direct proportion
% Calculate tire forces
% Update: Using a simpler approach with assumed coefficients
longitudinalForce = min(brakingTorque * frictionCoeff, normalLoad * frictionCoeff);
% Update vehicle dynamics
deceleration = longitudinalForce / vehicleMass;
% Update speeds
vehicleSpeed = max(vehicleSpeed - deceleration * timeStep, 0);
wheelSpeed = max(wheelSpeed - (brakingTorque / vehicleMass) * timeStep, 0);
% Store data for post-processing and plotting
brakePressureHistory(step) = brakePressure;
wheelSpeedHistory(step) = wheelSpeed;
vehicleSpeedHistory(step) = vehicleSpeed;
slipRatioHistory(step) = slipRatio;
isABSActiveHistory(step) = isABSActive;
end
% Post-processing: plot results
timeVector = (0 : numberOfSteps - 1) * timeStep;
figure;
subplot(3,1,1);
plot(timeVector, vehicleSpeedHistory * 3.6);
xlabel("Time (s)"); ylabel("Vehicle Speed (km/h)");
title("Vehicle Speed vs. Time");
subplot(3,1,2);
plot(timeVector, wheelSpeedHistory * 3.6);
xlabel("Time (s)"); ylabel("Wheel Speed (km/h)");
title("Wheel Speed vs. Time");
subplot(3,1,3);
plot(timeVector, isABSActiveHistory);
xlabel("Time (s)"); ylabel("ABS Active (0 or 1)");
title("ABS Activity vs. Time");
linkaxes(findall(gcf,"type","axes"), "x");
and these are the functions i used
Ramp.m
function [PL_RAMP] = Ramp(PL, PL_0, T1, PL_PRE, CONTROL)
% Define the step size for changing the pressure
PLINE_STEP = 0.2;
% Pressure Adjustment Based on Control Flag
% CONTROL = 1: Increase Pressure
% CONTROL = -1: Decrease Pressure
% CONTROL = 0: Maintain Current Pressure
if CONTROL == 1
PL_RAMP = PL_PRE + PLINE_STEP; % Increase pressure by PLINE_STEP
elseif CONTROL == -1
PL_RAMP = PL_PRE - PLINE_STEP; % Decrease pressure by PLINE_STEP
elseif CONTROL == 0
PL_RAMP = PL_PRE; % Keep pressure constant
end
% Initial Time Condition Check
% If T1 is 0 (start of simulation), set pressure to initial value PL_0
if T1 == 0
PL_RAMP = PL_0;
end
% Pressure Boundary Conditions
% Ensure PL_RAMP does not exceed maximum pressure PL
% Ensure PL_RAMP does not fall below zero
if PL_RAMP > PL
PL_RAMP = PL;
elseif PL_RAMP < 0
PL_RAMP = 0;
end
end
tiremodel.m
function [FX] = tiremodel(I, N, MU_MAX)
% Tire Slip Ratio vs. Normalized Force Lookup Table
% Column 1: Slip ratio (I)
% Column 2: Corresponding normalized force
TIRE_W = [0 0; -0.05 0.6; -0.1 0.8; -0.15 0.95; -0.2 1; -0.25 0.97; -0.3 0.94; -0.4 0.87; -0.6 0.8; -0.8 0.75; -1 0.7];
% Longitudinal Force Calculation (FX)
% Interpolate the normalized force from the lookup table based on the slip ratio (I)
% Multiply the interpolated value by the normal force (N) and the maximum friction coefficient (MU_MAX)
FX = N * (interp1(TIRE_W(:,1), TIRE_W(:,2), I)) * MU_MAX;
end
slip.m
function [FB_S, SKID] = slip(FB, N, MU_MAX, MU_S)
% Checking Skid Condition Based on Applied Braking Force and Maximum Frictional Force
% FB: Applied Braking Force
% N: Normal Force
% MU_MAX: Maximum Friction Coefficient
% MU_S: Static Friction Coefficient
% Determine if Tire is Skidding
if FB <= MU_MAX * N
% No Skid: Effective Braking Force equals Applied Force
FB_S = FB;
SKID = ‘NO’; % Set SKID status to ‘NO’ indicating no skidding
else
% Skid: Effective Braking Force limited by Static Frictional Force
FB_S = MU_S * N;
SKID = ‘YES’; % Set SKID status to ‘YES’ indicating skidding
end
end
Braking_torque.m
function [T_f, T_r] = Braking_torque(Pl, Af, Ar, mu_f, mu_r, N_f, Rmean_f, Rmean_r)
FRIC_F = Pl * Af * mu_f * N_f;
FRIC_R = Pl * Ar * mu_r * N_f;
TFRIC_F = FRIC_F * Rmean_f;
TFRIC_R = FRIC_R * Rmean_r;
T_f = TFRIC_F;
T_r = TFRIC_R;
end
ABScycle.m
function [control] = ABScycle(a1, a2, a3, a4, aw, aw_pre)
% Determine the direction of change in angular acceleration
if (aw - aw_pre) <= 0
slope = -1; % Negative slope indicates deceleration
else
slope = 1; % Positive slope indicates acceleration
end
% ABS logic based on current angular acceleration (aw) and its change (slope)
if aw <= 0
% If angular acceleration is negative or zero (decelerating wheel)
if aw > a1
% If angular acceleration is greater than threshold a1
if slope == -1
control = 1; % Increase brake pressure
elseif slope == 1
control = 0; % Hold brake pressure
end
elseif aw <= a1
% If angular acceleration is less than or equal to threshold a1
if slope == -1
control = -1; % Decrease brake pressure
elseif slope == 1
control = 0; % Hold brake pressure
end
end
else
% If angular acceleration is positive (accelerating wheel)
if aw <= a4
% If angular acceleration is less than or equal to threshold a4
if slope == 1
control = 0; % Hold brake pressure
elseif slope == -1
% If the wheel is starting to decelerate
if aw >= a3
control = 0; % Hold brake pressure
else
control = 1; % Increase brake pressure
end
end
elseif aw > a4
% If angular acceleration is greater than threshold a4
control = 1; % Increase brake pressure
end
end
end
this script gives me abs activity vs time =0 and the velocity is still 100 i want you to fix my script and functions and add any missing logic this code should calculate every possible thing and the car should reach 0 speed and acceleration as a perfect
|
781f6ba1fcaa54c3ebf04ca7b931d3b6
|
{
"intermediate": 0.3097510039806366,
"beginner": 0.3510644733905792,
"expert": 0.33918455243110657
}
|
34,713
|
this code gives me the results are wrong slip ratio and abs activity is 0 and the velocity is constant 100 fix ti
clc;
clearvars;
% Simulation parameters
timeStep = 0.01;
simulationDuration = 20; % seconds
numberOfSteps = simulationDuration / timeStep;
% Initial conditions
vehicleSpeed = 100 / 3.6; % 100 km/h to m/s
wheelRadius = 0.3;
wheelAngularSpeed = vehicleSpeed / wheelRadius; % Angular speed of the wheel (rad/s)
brakePressure = 0; % No braking at the start
normalLoad = 4000; % Normal force in Newtons
vehicleMass = 1500; % Vehicle mass in kg
wheelRadius = 0.3; % Wheel radius in meters
wheelInertia = 3; % Assumed wheel inertia (kg m^2) - placeholder value
% Create storage for data
timeVector = (0 : numberOfSteps - 1) * timeStep;
brakePressureHistory = zeros(1, numberOfSteps);
wheelSpeedHistory = zeros(1, numberOfSteps);
vehicleSpeedHistory = zeros(1, numberOfSteps);
slipRatioHistory = zeros(1, numberOfSteps);
longitudinalForceHistory = zeros(1, numberOfSteps);
isABSActiveHistory = zeros(1, numberOfSteps);
% Braking System Parameters
maxBrakePressure = 10e6; % Maximum possible braking pressure (Pascals)
pressureRampUpTime = 5; % Time in seconds to reach max brake pressure
pressureRampStep = maxBrakePressure / (pressureRampUpTime / timeStep); % Pressure increment per time step
% Tire Parameters
mu_max = 0.8; % Maximum friction coefficient - placeholder value
% ABS System Parameters
CONTROL = 0; % Variable to decide whether to increase or decrease pressure
absDropPressure = 5e5; % Pressure drop per cycle when ABS is active
for step = 1:numberOfSteps
currentTime = step * timeStep;
% Apply brake pressure dynamically
brakePressure = Ramp(maxBrakePressure, 0, currentTime, brakePressure, CONTROL);
% Calculate slip ratio
current_wheel_speed = wheelAngularSpeed * wheelRadius;
slip_ratio = slip(current_wheel_speed, vehicleSpeed);
% Calculate tire forces using the tire model
longitudinal_force = tiremodel(slip_ratio, normalLoad, mu_max);
% Calculate braking torque from brake pressure
% Assume front brakes generate 70% of the total braking force and rear 30%
frontBrakeForce = 0.7 * longitudinal_force;
rearBrakeForce = 0.3 * longitudinal_force;
brakingTorque = (frontBrakeForce + rearBrakeForce) * wheelRadius; % Total braking torque
% Update wheel angular speed based on the braking torque (simplified wheel dynamics)
angularDeceleration = brakingTorque / wheelInertia;
wheelAngularSpeed = max(wheelAngularSpeed - angularDeceleration * timeStep, 0);
% Update vehicle speed based on the total longitudinal force
vehicleDeceleration = longitudinal_force / vehicleMass;
vehicleSpeed = max(vehicleSpeed - vehicleDeceleration * timeStep, 0);
% ABS Control Logic
if abs(slip_ratio) > 0.2 % Simple activation threshold
% If the ABS system activates, it causes a reduction in brake pressure,
% trying to reduce wheel lock-up and maintain control.
CONTROL = -1;
isABSActive = 1;
else
CONTROL = 1; % Increase brake pressure gradually
isABSActive = 0;
end
% Adjust brake pressure based on ABS control
brakePressure = Ramp(maxBrakePressure, 0, currentTime, brakePressure, CONTROL);
% Store data for post-processing
brakePressureHistory(step) = brakePressure;
wheelSpeedHistory(step) = wheelAngularSpeed * wheelRadius;
vehicleSpeedHistory(step) = vehicleSpeed;
slipRatioHistory(step) = slip_ratio;
longitudinalForceHistory(step) = longitudinal_force;
isABSActiveHistory(step) = isABSActive;
end
% Post-processing: plot results
subplot(4,1,1);
plot(timeVector, vehicleSpeedHistory * 3.6);
xlabel("Time (s)"); ylabel("Vehicle Speed (km/h)");
title("Vehicle Speed vs. Time");
subplot(4,1,2);
plot(timeVector, wheelSpeedHistory * 3.6);
xlabel("Time (s)"); ylabel("Wheel Speed (km/h)");
title("Wheel Speed vs. Time");
subplot(4,1,3);
plot(timeVector, slipRatioHistory);
xlabel("Time (s)"); ylabel("Slip Ratio");
title("Slip Ratio vs. Time");
subplot(4,1,4);
plot(timeVector, isABSActiveHistory);
xlabel("Time (s)"); ylabel("ABS Active (0 or 1)");
title("ABS Activity vs. Time");
linkaxes(findall(gcf,"type","axes"), "x");
these are my functions
function [T_f, T_r] = Braking_torque(Pl, Af, Ar, mu_f, mu_r, N_f, Rmean_f, Rmean_r)
% Friction forces at the front and rear tires
FRIC_F = Pl * Af * mu_f * N_f;
FRIC_R = Pl * Ar * mu_r * N_f;
% Braking torques at the front and rear tires
T_f = FRIC_F * Rmean_f;
T_r = FRIC_R * Rmean_r;
end
function [PL_RAMP] = Ramp(PL, PL_0, T1, PL_PRE, CONTROL)
% Define the step size for changing the pressure
PLINE_STEP = 0.2;
% Set initial pressure if simulation just started
if T1 == 0
PL_RAMP = PL_0;
else
% Adjust pressure based on control flag
PL_RAMP = PL_PRE + CONTROL * PLINE_STEP;
% Bound pressure to not exceed maximum or go below zero
PL_RAMP = min(max(PL_RAMP, 0), PL);
end
end
function [slip_ratio] = slip(wheel_speed, vehicle_speed)
if vehicle_speed > 0
slip_ratio = (vehicle_speed - wheel_speed) / vehicle_speed;
else
slip_ratio = 0;
end
end
function [control] = ABScycle(a1, a2, a3, a4, aw, aw_pre)
% Determine the direction of change in angular acceleration
delta_aw = aw - aw_pre;
% ABS control logic to determine brake pressure adjustment
if aw < 0 % Decelerating wheel
if aw > a1 && delta_aw < 0
control = 1; % Increase brake pressure
elseif aw <= a1 && delta_aw < 0
control = -1; % Decrease brake pressure
else
control = 0; % Hold brake pressure
end
else % Accelerating wheel or steady state
if aw <= a4
control = 0; % Hold brake pressure
else
control = 1; % Increase brake pressure
end
end
end
function [FX] = tiremodel(slip_ratio, normal_load, mu_max)
% Pacejka tire coefficients - these values are placeholders
B = 10; % Stiffness factor
C = 1.9; % Shape factor
D = mu_max * normal_load; % Peak value
E = 0.97; % Curvature factor
% Calculate the normalized slip ratio (input to the Pacejka formula)
slip_normalized = abs(slip_ratio);
% Calculate the longitudinal force using the simplified Pacejka ‘Magic Formula’
Fx_normalized = D * sin(C * atan(B * slip_normalized - E * (B * slip_normalized - atan(B * slip_normalized))));
% Check if we are in the linear or saturation region of the tire curve
if slip_normalized < 1
FX = Fx_normalized;
else
FX = D; % Tires in full sliding produce force dependent on mu_max and normal_load only
end
end
|
8779ad05f53953c1dd84bdef7a70060b
|
{
"intermediate": 0.464765727519989,
"beginner": 0.3537604510784149,
"expert": 0.18147383630275726
}
|
34,714
|
edit the following script to implement the following:
- fastest possible method to scrape and save files
- only download one folder at a time though onto the host system, then upload it to gofile.io
- after upload is complete. continue scrape as normal and repeat process
original script:
from minio import Minio
client = Minio(
"s3-api.laokyc.gov.la",
access_key = "Laokyc_admin",
secret_key = "L@0kyc@2021"
)
for bucket in client.list_buckets():
for item in client.list_objects(bucket.name, recursive=True):
client.fget_object(bucket.name, item.object_name, "./" + bucket.name + "/" + item.object_name)
|
415f7c32a8e797e9f701f45d5b6cdf98
|
{
"intermediate": 0.4576523005962372,
"beginner": 0.2746325433254242,
"expert": 0.26771512627601624
}
|
34,715
|
I have installed ts-node locally in project, i got this error
console.log(fetch)
^
ReferenceError: fetch is not defined
|
0b892f1708dc92fe1d4968ac25013869
|
{
"intermediate": 0.46599453687667847,
"beginner": 0.29359355568885803,
"expert": 0.2404119074344635
}
|
34,716
|
write me an html code of enigma machine m3
|
2567efb86eea60f88676e3e27b8a0a51
|
{
"intermediate": 0.2972451150417328,
"beginner": 0.3031673729419708,
"expert": 0.39958757162094116
}
|
34,717
|
Write a function to find the longest common prefix string amongst an array of strings.
If there is no common prefix, return an empty string "".
Example 1:
Input: strs = ["flower","flow","flight"]
Output: "fl"
|
fa61f7476cbbd12222308ddd673adf25
|
{
"intermediate": 0.2650107741355896,
"beginner": 0.44733577966690063,
"expert": 0.28765344619750977
}
|
34,718
|
do i need to add celery beat in installed app in settings.py in django project
|
9d2f6bf6b027c36e231fc87c82b7ad6b
|
{
"intermediate": 0.5407218337059021,
"beginner": 0.2309820055961609,
"expert": 0.22829610109329224
}
|
34,719
|
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8"/>
<title>Multiplayer Chat Server</title>
</head>
<style>
|
d742bf26484b63060de4d74f6a47ef8d
|
{
"intermediate": 0.2956821918487549,
"beginner": 0.3433172404766083,
"expert": 0.36100053787231445
}
|
34,720
|
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8"/>
<title>Multiplayer Chat Server</title>
</head>
<style>
|
e1d9b94431220dddb9507dda2af2640e
|
{
"intermediate": 0.2956821918487549,
"beginner": 0.3433172404766083,
"expert": 0.36100053787231445
}
|
34,721
|
Angola
Benin
Botswana
Burkina Faso
Burundi
Cameroon
Cape Verde
Central African Republic
Chad
Comoros
Congo (DRC)
Congo (Republic)
Côte d'Ivoire
Equatorial Guinea
Eritrea
Eswatini
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Madagascar
Malawi
Mali
Mauritius
Mozambique
Namibia
Niger
Nigeria
Rwanda
São Tomé and Príncipe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Tanzania
Togo
Uganda
Western Sahara
Zambia
Zimbabwe
Find a country not from africa
|
37005f248bf70209a79fef1c07cf3876
|
{
"intermediate": 0.39481493830680847,
"beginner": 0.3108658194541931,
"expert": 0.2943193018436432
}
|
34,722
|
Fix this code: "def toggle_theme(self):
if self.master.tk.call("ttk::style", "theme", "use") == "azure-dark":
self.master.tk.call("set_theme", "azure")
else:
self.master.tk.call("set_theme", "azure-dark")"
|
a0cbc7becd20a827c49fc1fabe737ac3
|
{
"intermediate": 0.3231976628303528,
"beginner": 0.5116562843322754,
"expert": 0.16514605283737183
}
|
34,723
|
I need you to help me study by analysing the lecture slides I give you, and then forming a study plan based on the course material, as well as the final exam template I give you. In the next prompt, I will feed you lecture slides starting with chapter 6, all the way to 15. Do not respond anything until at the end of all slides, I specifically ask you to start working based on the data. Capisce?
|
eb18e974a222ae6dba68591ebd2e2dda
|
{
"intermediate": 0.36108526587486267,
"beginner": 0.29543113708496094,
"expert": 0.34348368644714355
}
|
34,724
|
hey can you help me
|
0abc65bb45c5cbf2761676638c19f2f4
|
{
"intermediate": 0.37131592631340027,
"beginner": 0.29492753744125366,
"expert": 0.3337565064430237
}
|
34,725
|
Перепиши на питон
#include <iostream>
#include <vector>
#include <algorithm>
#include <unordered_map>
#include <string>
#include <climits>
#define int long long
using namespace std;
struct pos {
int x, y;
};
signed main() {
ios_base::sync_with_stdio(0);
cin.tie(0);
cout.tie(0);
int n; cin >> n;
vector<int> vec;
vector<int> temp(n);
for (int i = 0; i < n; i++) {
cin >> temp[i];
}
//ввод данных
for (auto it = temp.begin() + 1; it < temp.end(); it++) {
vec.push_back(*it);
}
for (auto el : temp) {
vec.push_back(el);
}
for (auto it = temp.begin(); it < temp.end() - 1; it++) {
vec.push_back(*it);
}
int L, R;
int ans = INT_MIN;
int curr_sum = 0;
L = 1; R = 1;
for (int i = 0; i < vec.size(); ++i) {
R++;
int el = vec[i];
curr_sum += el;
if (curr_sum > ans && R - L <= n) {
ans = curr_sum;
}
if (curr_sum <= 0 || R - L > n) {
L = R;
curr_sum = 0;
}
}
cout << ans;
return 0;
}
|
df3cdcedb2f78f0a11ca902c9f6c2913
|
{
"intermediate": 0.2680376172065735,
"beginner": 0.2809658348560333,
"expert": 0.4509965479373932
}
|
34,726
|
I have a project idea in mind, what if i train a custom on images of websites an inputs and their HTML code as input, but i need a way to collect a bunch of website captures, how do i automate that to get the image and the HTML of a bunch of randomly selected websites to train this custom model
|
7c5806abb65c2f41e8ee9cc5a71d1cdb
|
{
"intermediate": 0.2967413067817688,
"beginner": 0.12104574590921402,
"expert": 0.5822129249572754
}
|
34,727
|
1
00:00:00,800 --> 00:00:05,360
I've spent the last 10 years campaigning for better food for our kids.
2
00:00:05,360 --> 00:00:08,400
From school dinners to processed junk.
3
00:00:08,400 --> 00:00:12,040
But now I'm going into my biggest battle ever.
4
00:00:12,040 --> 00:00:15,040
This time I'm taking on sugar.
5
00:00:15,040 --> 00:00:16,880
It's everywhere.
6
00:00:16,880 --> 00:00:17,880
It's in your food.
7
00:00:17,880 --> 00:00:23,280
Nobody would suspect that little pot to have nearly 20 teaspoons of sugar in it.
8
00:00:23,280 --> 00:00:24,280
In your drinks.
9
00:00:24,280 --> 00:00:27,760
Do most mothers feed their babies coke and breastfeed at the same time?
10
00:00:27,760 --> 00:00:30,440
Yeah, mostly everyone.
11
00:00:30,440 --> 00:00:32,640
And all over the UK press.
12
00:00:32,640 --> 00:00:39,560
More and more we're hearing calls from health experts to slash the amount of sugar in our
13
00:00:39,560 --> 00:00:40,560
diets.
14
00:00:40,560 --> 00:00:43,160
We're just allowing our children to have this.
15
00:00:43,160 --> 00:00:45,560
That is a scandal.
16
00:00:45,560 --> 00:00:50,440
And it's rich fever pitch when it comes to warnings about sugar and our health.
17
00:00:50,440 --> 00:00:54,960
We are red light flashing, flood lights, sirens, alarms.
18
00:00:54,960 --> 00:00:56,720
We're beyond red.
19
00:00:56,720 --> 00:01:00,880
I'm tired of all the talking and waiting around for something to be done while more and more
20
00:01:00,880 --> 00:01:03,160
people get sick.
21
00:01:03,160 --> 00:01:06,120
Children Becky's age should not have type 2 diabetes.
22
00:01:06,120 --> 00:01:09,120
The health system is collapsing.
23
00:01:09,120 --> 00:01:11,960
So I've decided to do something about it.
24
00:01:11,960 --> 00:01:23,080
It's going to get interesting pretty quick I think.
25
00:01:23,080 --> 00:01:27,640
We've all seen the headlines, unhealthy diets are putting incredible pressure on the NHS.
26
00:01:27,640 --> 00:01:32,400
But I don't think that we really understand what that means.
27
00:01:32,400 --> 00:01:40,320
I'm here at St George's Hospital in London to try and get my head around it.
28
00:01:40,320 --> 00:01:41,320
This is recovery.
29
00:01:41,320 --> 00:01:44,320
This is the way through to see Mario.
30
00:01:44,320 --> 00:01:48,480
What's going on here is nothing to do with being overweight or obese.
31
00:01:48,480 --> 00:01:51,600
Hi buddy.
32
00:01:51,600 --> 00:01:54,280
Hi.
33
00:01:54,280 --> 00:01:56,440
This is Mario.
34
00:01:56,440 --> 00:01:58,360
These are all the x-rays we've taken of Mario.
35
00:01:58,360 --> 00:02:00,360
Look at the tooth in front.
36
00:02:00,360 --> 00:02:01,360
Nearly all decayed.
37
00:02:01,360 --> 00:02:02,360
It's just a shell.
38
00:02:02,360 --> 00:02:03,880
That's just a big lump of bacteria.
39
00:02:03,880 --> 00:02:04,880
That's empty.
40
00:02:04,880 --> 00:02:07,760
Well what we do is blow in and out of here.
41
00:02:07,760 --> 00:02:08,760
That's great.
42
00:02:08,760 --> 00:02:09,760
Like this.
43
00:02:09,760 --> 00:02:10,760
OK.
44
00:02:10,760 --> 00:02:14,440
Six year old Mario is a healthy boy who regularly cleans his teeth.
45
00:02:14,440 --> 00:02:18,080
But he's got a real weakness for sugary drinks.
46
00:02:18,080 --> 00:02:21,720
This is a bit of a tough watch, but it's important to see.
47
00:02:21,720 --> 00:02:23,320
Is he breathing for himself now?
48
00:02:23,320 --> 00:02:24,960
So now you're breathing for him.
49
00:02:24,960 --> 00:02:25,960
The machine's taking over.
50
00:02:25,960 --> 00:02:55,760
It's so quick and absolutely brutal.
51
00:02:55,760 --> 00:03:04,560
The only way to get the teeth out is to yank them out.
52
00:03:04,560 --> 00:03:10,520
In my head, this environment that's expensive and full of care and you kind of get it when
53
00:03:10,520 --> 00:03:15,960
it's for cancers and this and the other and poor kids with leukaemia and stuff like that.
54
00:03:15,960 --> 00:03:16,960
This is tooth decay?
55
00:03:16,960 --> 00:03:17,960
Yes.
56
00:03:17,960 --> 00:03:18,960
From sugar?
57
00:03:18,960 --> 00:03:19,960
From sugar.
58
00:03:20,960 --> 00:03:28,560
So fast, exhausting work and they've got another five kids to get through this morning.
59
00:03:28,560 --> 00:03:34,000
Now Mario is off to recovery where he'll be reunited with his parents.
60
00:03:34,000 --> 00:03:41,520
Absolutely I mean to see a child put under that, that is really quite nerve wracking.
61
00:03:41,520 --> 00:03:44,560
Mario will be OK, but it's hard to see.
62
00:03:44,560 --> 00:03:45,560
He's OK.
63
00:03:45,560 --> 00:03:46,560
Let's get mum's out.
64
00:03:46,560 --> 00:03:47,560
Yeah, shall we get mum's out?
65
00:03:47,560 --> 00:04:05,960
Quite hard, big procedure and completely avoidable.
66
00:04:05,960 --> 00:04:07,960
How big is the problem?
67
00:04:07,960 --> 00:04:08,960
Massive.
68
00:04:08,960 --> 00:04:10,160
Oh my lord.
69
00:04:10,160 --> 00:04:11,240
That's just decay.
70
00:04:11,240 --> 00:04:14,400
It's decay that's gone right through the tooth, all the way through the enamel, through to
71
00:04:14,400 --> 00:04:17,520
the middle of the tooth, into the nerve and so they're just rotten.
72
00:04:17,520 --> 00:04:21,600
And if they have 20 teeth, which is a full set of children's teeth and they all need
73
00:04:21,600 --> 00:04:22,600
to come out.
74
00:04:22,600 --> 00:04:23,600
20 teeth?
75
00:04:23,600 --> 00:04:25,240
20 teeth, that happens routinely.
76
00:04:25,240 --> 00:04:28,680
That's not exceptional or rare, that's frequent.
77
00:04:28,680 --> 00:04:33,360
The problem then comes if the decay carries on into the adult teeth and those adult teeth
78
00:04:33,360 --> 00:04:34,680
need to be lost.
79
00:04:34,680 --> 00:04:37,000
That's happening routinely now, we see that frequently.
80
00:04:37,000 --> 00:04:38,680
We'll often replace them with dentures.
81
00:04:38,680 --> 00:04:39,680
False teeth?
82
00:04:39,680 --> 00:04:40,680
False teeth.
83
00:04:40,680 --> 00:04:44,920
So the sugar is pretty much responsible for most of this?
84
00:04:44,920 --> 00:04:46,420
Not pretty much entirely.
85
00:04:46,420 --> 00:04:51,320
It doesn't matter how well you brush your teeth, if you do it twice a day, if you constantly
86
00:04:51,320 --> 00:04:57,360
sip or eat sugar throughout the day, you can easily overwhelm any preventative regime you
87
00:04:57,360 --> 00:04:58,360
do.
88
00:04:58,360 --> 00:05:01,880
So you can brush all day, it won't make a difference.
89
00:05:01,880 --> 00:05:03,320
It's not just Mario.
90
00:05:03,320 --> 00:05:11,200
Each year 26,000 primary school aged kids go to hospital just because of rotten teeth.
91
00:05:11,200 --> 00:05:17,800
Pulling out kids' teeth costs the NHS around £30 million a year.
92
00:05:17,800 --> 00:05:22,360
Sugar is the biggest source of children going to hospital in the country.
93
00:05:22,360 --> 00:05:27,360
The numbers are enormous, they're terrifying and it's the biggest pressing problem we have.
94
00:05:27,360 --> 00:05:31,880
We are red light, flashing, floodlights, sirens, alarms.
95
00:05:31,880 --> 00:05:32,880
We're beyond red.
96
00:05:32,880 --> 00:05:41,080
The demand for our services, particularly for children's teeth, is absolutely overwhelming.
97
00:05:41,080 --> 00:05:42,920
Today's definitely shocked me.
98
00:05:42,920 --> 00:05:48,200
You step outside the building and you see this institution called the hospital and we're
99
00:05:48,200 --> 00:05:50,520
kind of taking the piss out of it.
100
00:05:50,520 --> 00:05:54,400
We're putting it under extraordinary pressure.
101
00:05:54,400 --> 00:05:56,680
You know, it's getting absolutely ridiculous.
102
00:05:56,680 --> 00:06:01,760
We need to help these guys do their job and focus on the things that really matter, not
103
00:06:01,760 --> 00:06:06,200
pulling out bloody teeth because there's too much sugary shit in the environment.
104
00:06:06,200 --> 00:06:16,600
I definitely feel fired up, definitely up for a bit of a fight.
105
00:06:16,600 --> 00:06:21,960
It isn't just the kids that are getting caught out by too much sugar.
106
00:06:21,960 --> 00:06:27,920
The World Health Organisation are so worried they've told us we all need to cut back.
107
00:06:27,920 --> 00:06:32,320
Experts here agree and have now recommended adults have no more than seven teaspoons of
108
00:06:32,320 --> 00:06:33,960
sugar a day.
109
00:06:33,960 --> 00:06:41,160
Pretty terrifying then that many people in the UK are getting through over 40.
110
00:06:41,160 --> 00:06:44,040
Experts are worried about what they call free sugars.
111
00:06:44,040 --> 00:06:49,520
So that's any extra sugars added to food and drink, plus sugars found in honey and syrup
112
00:06:49,520 --> 00:06:53,800
and even natural sugars found in fruit juices.
113
00:06:53,800 --> 00:06:58,720
I've asked my mate Lucy to show me how sugar could be getting into our everyday diets without
114
00:06:58,720 --> 00:07:01,240
us even realising.
115
00:07:01,240 --> 00:07:02,440
So here's a cake.
116
00:07:02,440 --> 00:07:06,120
We know we shouldn't be having that every day, but it's not about cake really is it?
117
00:07:06,120 --> 00:07:07,360
Not all about cake.
118
00:07:07,360 --> 00:07:09,000
What bit worries you the most?
119
00:07:09,000 --> 00:07:13,800
How much sugar we're consuming without realising it, without it being in these obvious bits.
120
00:07:13,800 --> 00:07:18,040
So what's hidden in the everyday food that we don't assume have any sugar in.
121
00:07:18,040 --> 00:07:24,760
Can we start by going through like some typical meal options for a day and I can explain it
122
00:07:24,760 --> 00:07:26,560
to you much better that way.
123
00:07:26,560 --> 00:07:27,560
So where do we start?
124
00:07:27,560 --> 00:07:28,560
Breakfast.
125
00:07:28,560 --> 00:07:32,760
Can you pour out a like normal breakfast serving for brown flakes?
126
00:07:32,760 --> 00:07:35,920
I mean that is quite a blokey portion.
127
00:07:35,920 --> 00:07:44,560
To my brown flakes I'm adding some milk, some low-fat lemon yoghurt and berries.
128
00:07:44,560 --> 00:07:49,040
Lucy has picked products that we would think of as healthy and selected the brand with
129
00:07:49,040 --> 00:07:51,240
the highest sugar content.
130
00:07:51,240 --> 00:07:56,880
Can I get you to guess how much free sugar is in your lovely breakfast there?
131
00:07:56,880 --> 00:07:59,000
I've got no clue.
132
00:07:59,000 --> 00:08:00,000
56.4 grams.
133
00:08:00,000 --> 00:08:02,320
Doesn't sound great.
134
00:08:02,320 --> 00:08:04,360
Which in teaspoons is 14.1.
135
00:08:04,360 --> 00:08:07,040
Oh shit the bed.
136
00:08:07,040 --> 00:08:09,480
How do we get to that much?
137
00:08:09,480 --> 00:08:13,520
Okay so let's do this in teaspoons which is 4 grams.
138
00:08:13,520 --> 00:08:18,720
There were roughly 5 teaspoons of added sugar in my man-sized serving of brown flakes.
139
00:08:18,720 --> 00:08:24,480
Nearly 3 teaspoons in my portion of yoghurt and over 6 teaspoons of free sugar in my orange
140
00:08:24,480 --> 00:08:25,480
juice.
141
00:08:25,480 --> 00:08:30,760
If the experts are saying we should have no more than 7 teaspoons a day, that's twice
142
00:08:30,760 --> 00:08:34,160
the amount just for this breakfast.
143
00:08:34,160 --> 00:08:36,920
Let's move on to lunch.
144
00:08:36,920 --> 00:08:38,560
Tomato soup and bread.
145
00:08:38,560 --> 00:08:42,400
Would you think either of those have a significant amount of sugar in?
146
00:08:42,400 --> 00:08:46,680
You'll have natural sugars from the tomatoes and I don't know if they've sweetened the
147
00:08:46,680 --> 00:08:50,560
bread but it looks fairly branded so I imagine there is a bit of added sugar.
148
00:08:50,560 --> 00:08:52,360
Let's have a little look.
149
00:08:52,360 --> 00:08:56,800
Different brands can have different amounts of sugar so you need to check the labels.
150
00:08:56,800 --> 00:09:02,400
Sadly labels don't list the value for added sugars but comparing the total sugars in similar
151
00:09:02,400 --> 00:09:05,260
products can help us estimate.
152
00:09:05,260 --> 00:09:10,200
Some wholemeal bread has nearly twice as much sugar and this cream of tomato soup has about
153
00:09:10,200 --> 00:09:14,160
2 teaspoons more than some other brands.
154
00:09:14,160 --> 00:09:20,600
So this healthy looking lunch would add about 3 more teaspoons of free sugar to your day.
155
00:09:20,600 --> 00:09:24,320
Next up, an afternoon snack and a drink.
156
00:09:24,320 --> 00:09:27,920
So most people would feel that that's a pretty healthy snack, it's not something to be too
157
00:09:27,920 --> 00:09:28,920
concerned about.
158
00:09:28,920 --> 00:09:35,000
In half of this bottle there is 3 and a half teaspoons of sugar.
159
00:09:35,000 --> 00:09:36,000
I thought it was water.
160
00:09:36,000 --> 00:09:37,240
Oh it's flavoured water.
161
00:09:37,240 --> 00:09:43,800
In one bottle, which most of us would drink, there is 7 teaspoons of sugar.
162
00:09:43,800 --> 00:09:44,800
That's sweet, ok.
163
00:09:44,800 --> 00:09:49,920
In this bar not many of us would think that there's actually 2 teaspoons of sugar in it.
164
00:09:49,920 --> 00:09:55,600
So that's 9 teaspoons of sugar in a healthy looking snack.
165
00:09:55,600 --> 00:09:56,600
So what next?
166
00:09:56,600 --> 00:10:00,920
I'm going to cheer you up, I'm going to get you to do some cooking for dinner.
167
00:10:00,920 --> 00:10:05,160
Next up, Lucy wants me to whip up a good old stir fry.
168
00:10:05,160 --> 00:10:08,960
Now I haven't cheeked out on you, we've got a lemon and ginger stir fry sauce.
169
00:10:08,960 --> 00:10:11,280
So I'd just like you to add that in.
170
00:10:11,280 --> 00:10:14,040
That's the amount for 2 people.
171
00:10:14,040 --> 00:10:21,520
So by adding that sauce in, you've just increased the sugar content by nearly 10 teaspoons per
172
00:10:21,520 --> 00:10:22,520
person.
173
00:10:22,520 --> 00:10:23,680
Per person!
174
00:10:23,680 --> 00:10:30,000
Even if I was making a sweet and sour dish, I mean you know, of course sugar has the amazing
175
00:10:30,000 --> 00:10:34,320
ability to balance tartness and even balance bitterness.
176
00:10:34,320 --> 00:10:37,400
I would never add 10 teaspoons per person.
177
00:10:37,400 --> 00:10:42,400
And this really epitomises hidden sugar, because nobody would suspect that little pot to have
178
00:10:42,400 --> 00:10:45,000
nearly 20 teaspoons of sugar in it.
179
00:10:45,000 --> 00:10:46,080
That's crazy.
180
00:10:46,080 --> 00:10:51,560
And once you've tot up your breakfast, your lunch, your snack and your evening meal, you're
181
00:10:51,560 --> 00:10:57,040
actually having roughly 36 teaspoons of sugar.
182
00:10:57,040 --> 00:10:58,240
That's too much.
183
00:10:58,240 --> 00:11:03,800
Whenever you buy something that's in a packet or in a bottle, read the label, because you
184
00:11:03,800 --> 00:11:07,520
cannot tell if it's got added sugar in it until you look at it.
185
00:11:07,520 --> 00:11:11,240
And even then, you can't tell the difference between total and added.
186
00:11:11,240 --> 00:11:13,440
This is a healthy looking day's food.
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No chocolate bars here, yet it's actually 5 times the amount of free sugar UK experts
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now say we should be having each day.
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36 teaspoons when we should be aiming for less than 7.
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We urgently need to do something about this.
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Do you know what?
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I'm really bothered about all of this sugar in our food and drinks.
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And it isn't just about our kids' teeth being yanked out.
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That's just the tip of the iceberg.
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Experts warn that eating too much sugar can help make people obese, increasing their risk
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of developing diet-related illnesses like heart disease and some types of cancer.
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In the last few years, one disease in particular has gripped the UK, and I'm really worried
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about it.
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There's been this kind of cloud of doom.
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This disease, type 2 diabetes, that everyone's talking about, it's always associated with
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diet-related disease.
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I just don't know enough about it.
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I don't think enough people do.
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Like, what is it?
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How does it affect the body?
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So today I'm going to the Royal Free Hospital to find out about type 2 diabetes.
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I kind of need to get my head around it.
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All right, mate.
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Thank you.
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Type 2 diabetes is increasing on an alarming scale in the UK.
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There are currently 3.5 million people with the disease, costing the NHS almost £9 billion
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per year.
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And it's only going to get worse if we continue the way that we're going.
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There are two main types of diabetes, but we're only talking about type 2 today, as
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that's the one that can be linked to lifestyle factors such as diet.
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This is a specialist foot clinic.
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Type 2 diabetes can affect the nerves and blood vessels, resulting in wounds that can
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become ulcers, and in the most extreme cases, can lead to amputations.
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So with Julian, we're checking both feet.
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Julian has recently had his foot amputated.
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I didn't know I had diabetes at the time.
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A couple of toes had gone gangrenous and got infected.
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They originally took the three toes off, and it was only about a month ago that they did
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this later surgery.
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But it couldn't happen to me.
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I'm not sure they had diabetes, but they did.
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This is at the hard end of diet-related disease, isn't it?
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It is.
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And unfortunately, it's not more common than you might think.
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So in the UK, there's up to about 7,000 amputations, low-limb amputations a year.
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That would shock people.
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I mean, that's got to be, what, 130 people a week?
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It is.
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That's extraordinary.
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Losing limbs, removing limbs, trying to save limbs all feels quite medieval to me.
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I find it utterly shocking.
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Were you expecting to lose your leg?
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No.
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No.
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So it must have been an ordeal.
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No, the first thought I had was they took three toes.
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When I think about amputations, it's usually in relation to the Paralympics or because
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of war.
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Hello, Ralph.
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Hello.
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How are you, mate?
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I'm doing research, and in 13 years of British combat in Iraq and Afghanistan, there were
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around 300 amputations.
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Come on, then, Sharkey.
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But 7,000 amputations just in a year in the UK due to diabetes, I find heartbreaking.
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Why aren't we talking about this more?
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Diabetes is already 10% of the NHS budget.
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That's extraordinary.
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Yes.
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And just for type 2, that's 8.8 billion.
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So the future ain't looking bright, is it?
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Well, if there's this continued rise in obesity, it's going to be a huge, huge burden on the
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households.
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So how worried are you about that?
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As a fellow countryman and medical practitioner, I mean, like, are we green?
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Are we amber?
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Or are we flashing red?
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I think we're flashing red.
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Yeah, definitely.
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Yeah, I think that's accepted.
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This burden is only going to get worse now that type 2 diabetes is increasingly affecting
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our kids.
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So I'm now off to see a 15-year-old girl with type 2 diabetes, which is scary and shocking.
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And this is a disease that used to be for old people in their 70s and 80s, and it's
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getting younger and younger and younger.
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And I'm struggling with the words to say how angry I am and how upset I am and how bothered
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I am.
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Until 20 years ago, there were virtually no kids in the UK with this disease.
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Now there's hundreds.
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Schoolgirl Becky was diagnosed aged just 13.
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Although in some cases genetics can play a role, the rapid rise in numbers is largely
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thought to be down to diet.
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And sugar is a big part of the problem.
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Hi!
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Come in!
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Nice to meet you.
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Come through.
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Thanks for having me.
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Obviously, type 2 is massively affected by diet.
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As a mother, I'm sure you were tracing back what would have happened to you.
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Yeah.
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00:16:49,240 --> 00:16:51,360
I made some really poor choices.
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I started getting pocket money, and at the end of the day I'd just go into the corn shop,
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buy drinks and sweets and stuff and biscuits and chocolate.
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00:16:58,360 --> 00:17:02,960
Looking back, I kind of fell out of the habit of cooking meals every day and got more into
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the habit of buying something that was quick and easy or buying a takeaway.
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As a parent, it is my responsibility to take care of my children.
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I mean, I had half an idea and was trying to get healthy things, but maybe if the packaging
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on the...
295
00:17:18,360 --> 00:17:19,360
But you're still getting it wrong.
296
00:17:19,360 --> 00:17:20,360
Yeah, I was still getting it wrong.
297
00:17:20,360 --> 00:17:22,240
Children Becky's age should not have type 2 diabetes.
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This should not be happening.
299
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And it's not just Becky.
300
00:17:28,280 --> 00:17:31,840
Becky has to keep a constant track of her blood sugar levels.
301
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If left untreated, abnormal levels can lead to potentially dangerous complications.
302
00:17:37,440 --> 00:17:38,800
Looks like something from Star Trek.
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00:17:38,800 --> 00:17:39,800
Touch it in.
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00:17:39,800 --> 00:17:42,400
I don't like needles.
305
00:17:42,400 --> 00:17:44,280
This is normal for me.
306
00:17:44,280 --> 00:17:46,360
You kind of get used to it.
307
00:17:46,360 --> 00:17:48,120
So you have to do this to yourself every day.
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You've got to take your own bloods.
309
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Yeah.
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Morning, night, after, like, breakfast and lunch and dinner and before.
311
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As long as you're monitoring it day and night to make sure it doesn't spike.
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That's a constant worry for you?
313
00:18:00,120 --> 00:18:03,320
Yeah, my friend, she actually went into a coma with her diabetes.
314
00:18:03,320 --> 00:18:06,280
That's how she was diagnosed, because she went into a coma.
315
00:18:06,280 --> 00:18:10,600
All of this monitoring and all the learning you've had to do, it's not really something
316
00:18:10,600 --> 00:18:15,920
I ever thought teenagers, 13, 14, 15-year-olds would have to deal with.
317
00:18:15,920 --> 00:18:19,440
It's quite annoying to have to try and be so responsible.
318
00:18:19,440 --> 00:18:22,800
When you usually get home, your mum makes dinner, you don't have to worry about it.
319
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Just don't have to think about it.
320
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Yeah.
321
00:18:24,800 --> 00:18:27,520
So basically what you're saying is having type 2 diabetes sucks.
322
00:18:27,520 --> 00:18:28,520
Yeah.
323
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It does.
324
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A lot.
325
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She's tagged this one - young and skinny.
326
00:18:37,400 --> 00:18:41,040
Mum Claire shows me when she started to see the problem.
327
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This is when she'd just started high school and that's when she really started to put
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the weight on.
329
00:18:45,280 --> 00:18:48,040
What are your worries for the future, then, for Becky?
330
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There's so many health complications she can get and even if she does lose the weight,
331
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the type 2 diabetes might not go away.
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In her whole life, it literally does, it makes your whole life based around what you can
333
00:18:59,680 --> 00:19:02,160
and can't eat, rather than being...
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A teenager.
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00:19:03,160 --> 00:19:14,420
Being a teenager.
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00:19:14,420 --> 00:19:18,920
In Britain today, one in five kids turn up at primary school at the age of four overweight
337
00:19:18,920 --> 00:19:19,920
or obese.
338
00:19:19,920 --> 00:19:23,080
But what's disgusting is when they leave at 11.
339
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One in three are overweight or obese.
340
00:19:25,440 --> 00:19:28,760
And that's not good.
341
00:19:28,760 --> 00:19:33,720
One of the biggest problems is that as a kid, it's pretty darn tough to escape sugar.
342
00:19:33,720 --> 00:19:39,880
It's everywhere.
343
00:19:39,880 --> 00:19:42,400
This is eight-year-old Ori and her mum, Ola.
344
00:19:42,400 --> 00:19:46,280
Could you just look at me a second?
345
00:19:46,280 --> 00:19:53,040
They're going to help me see the world from a child's perspective.
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This year, they reckon advertising spend in Britain is set to hit £16 billion.
347
00:19:59,040 --> 00:20:03,160
And loads of these ads will reach our kids.
348
00:20:03,160 --> 00:20:05,200
So this is their local corner shop in Ryslip.
349
00:20:05,200 --> 00:20:10,200
So it's basically, if you track the little red dot, it's just showing where she's looking.
350
00:20:10,200 --> 00:20:15,080
And it's kind of about branding, really, and eye height and how companies or brands advertise
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00:20:15,080 --> 00:20:16,080
to kids.
352
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Mummy.
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You can see her homing in on those drinks.
354
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That's amazing.
355
00:20:22,000 --> 00:20:25,040
OK, so now they're going to Tesco.
356
00:20:25,040 --> 00:20:29,680
Some sweet markets have recognised that it's not very ethical to kind of have all the sweets
357
00:20:29,680 --> 00:20:32,560
and sugary products next to the till.
358
00:20:32,560 --> 00:20:34,880
That's mental, because they're at the sweet-free checkouts.
359
00:20:34,880 --> 00:20:37,280
Please can I pop one to eat?
360
00:20:37,280 --> 00:20:40,000
But all the sweets are right next door.
361
00:20:40,000 --> 00:20:41,520
That's amazing.
362
00:20:41,520 --> 00:20:46,220
Look, around 70% of confectionery sales are impulse buys.
363
00:20:46,220 --> 00:20:49,440
So you can see why shops make them so easy to reach.
364
00:20:49,440 --> 00:20:51,320
Right, this is Superdrug.
365
00:20:51,320 --> 00:20:55,200
There's no sweets in the pharmacy, though, is there?
366
00:20:55,200 --> 00:20:59,320
Every checkout seems to have, even the pharmacy, there's a load of sweets.
367
00:20:59,320 --> 00:21:00,320
They're just everywhere.
368
00:21:00,320 --> 00:21:03,320
Look at her eye.
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00:21:03,320 --> 00:21:06,880
Mum's got no chance.
370
00:21:06,880 --> 00:21:12,640
As many as 90% of snacks at a child's eye level at convenient supermarket checkouts
371
00:21:12,640 --> 00:21:14,880
are classified as unhealthy.
372
00:21:14,880 --> 00:21:18,080
Right, Marks and Spencers, what's going on in here?
373
00:21:18,080 --> 00:21:22,200
OK, cake's on the way in.
374
00:21:22,200 --> 00:21:23,200
And cake's on the way out.
375
00:21:23,200 --> 00:21:24,200
I love it.
376
00:21:24,200 --> 00:21:27,040
Top and tail end, double-ended.
377
00:21:27,040 --> 00:21:30,520
And look at that wall of Percy Pigs at Auri's eye level.
378
00:21:30,520 --> 00:21:33,120
It's terrible when you see it like this.
379
00:21:33,120 --> 00:21:38,560
M&S have recently committed to removing sweets from their tills, but many other retailers
380
00:21:38,560 --> 00:21:39,560
still do this.
381
00:21:39,560 --> 00:21:41,720
I've got to say, that's really interesting.
382
00:21:41,720 --> 00:21:43,840
I've been shopping with my kids, and it is aggro.
383
00:21:43,840 --> 00:21:47,920
I mean, you're always trying to keep the happy balance, and you're only 30 seconds away from
384
00:21:47,920 --> 00:21:49,760
anarchy with a load of kids.
385
00:21:49,760 --> 00:21:53,400
And it's just at that checkout bit, trying to get through.
386
00:21:53,400 --> 00:21:57,300
But I just think it's hard being a parent, because you can say no like five or six times.
387
00:21:57,300 --> 00:22:02,560
But when it's everywhere, when it's total sugar saturation, it's hard, isn't it?
388
00:22:02,560 --> 00:22:05,160
I asked the shops for an explanation.
389
00:22:05,160 --> 00:22:09,880
Tesco's came back and said, "We've replaced sweets and chocolates on the checkouts with
390
00:22:09,880 --> 00:22:13,840
a wide variety of healthier snacks that appeal to customers.
391
00:22:13,840 --> 00:22:18,200
We will continue to keep how we implement the policy under review."
392
00:22:18,200 --> 00:22:23,240
Sadly Superdrug didn't get back to me.
393
00:22:23,240 --> 00:22:26,080
Next it's Saturday night primetime TV.
394
00:22:26,080 --> 00:22:27,920
Britain's Got Talent.
395
00:22:27,920 --> 00:22:33,760
Watched by 10 million people, shows like this often attract over 1 million child viewers,
396
00:22:33,760 --> 00:22:39,440
who can be exposed to up to 11 unhealthy food adverts an hour.
397
00:22:39,440 --> 00:22:45,440
These shows don't qualify as children's programming, so advertisers don't face the same Ofcom ban,
398
00:22:45,440 --> 00:22:50,280
preventing them from advertising foods high in fat, salt and sugar.
399
00:22:50,280 --> 00:22:53,320
Okay, so here we go.
400
00:22:53,320 --> 00:22:56,600
Straight in to a Coke advert.
401
00:22:56,600 --> 00:23:01,400
So take a look at this glossy ad, which to me seems to suggest if you drink Coke, you'll
402
00:23:01,400 --> 00:23:05,320
be happy, healthy and good at sport.
403
00:23:05,320 --> 00:23:10,040
There are regulations that protect children's programming against junk food, but this for
404
00:23:10,040 --> 00:23:11,600
me is even bigger.
405
00:23:11,600 --> 00:23:12,600
This is the big rating stuff.
406
00:23:12,600 --> 00:23:14,320
This is a family show.
407
00:23:14,320 --> 00:23:16,760
And we've had Coke.
408
00:23:16,760 --> 00:23:19,080
We're now on to Harry Bow.
409
00:23:19,080 --> 00:23:20,640
Oh, now McDonald's.
410
00:23:20,640 --> 00:23:22,440
So that's sort of interesting.
411
00:23:22,440 --> 00:23:25,000
I watch the show and I watch it with my kids.
412
00:23:25,000 --> 00:23:26,000
It's a family show.
413
00:23:26,000 --> 00:23:27,240
We love it.
414
00:23:27,240 --> 00:23:35,320
And I think the way that public health is going, that is probably inappropriate.
415
00:23:35,320 --> 00:23:37,160
Obesity is up.
416
00:23:37,160 --> 00:23:39,080
Type 2 diabetes is up.
417
00:23:39,080 --> 00:23:42,040
And too many kids are having all their teeth removed.
418
00:23:42,040 --> 00:23:46,240
Sugar is everywhere and sugary marketing feels inescapable.
419
00:23:46,240 --> 00:23:48,320
It's getting ridiculous.
420
00:23:48,320 --> 00:23:52,040
So what does the industry have to say about all of this?
421
00:23:52,040 --> 00:23:55,480
One spokesperson was bold enough to come and speak to me.
422
00:23:55,480 --> 00:23:57,120
Sugar, too much of it.
423
00:23:57,120 --> 00:24:01,640
Children we know having too much of certain types of food is bad for your health.
424
00:24:01,640 --> 00:24:04,760
Is it OK to market those aggressively to children?
425
00:24:04,760 --> 00:24:07,240
I don't think we do market them aggressively to children.
426
00:24:07,240 --> 00:24:13,280
If you look at the regulatory and self-regulatory codes, we work within those codes.
427
00:24:13,280 --> 00:24:17,680
And the reality is, is the masses of kids are online and watching shows like Britain's
428
00:24:17,680 --> 00:24:20,160
Got Talent, where they are being marketed.
429
00:24:20,160 --> 00:24:24,320
If the family's watching together, it's down to the parents to exercise discretion.
430
00:24:24,320 --> 00:24:25,680
But you don't do that, do you?
431
00:24:25,680 --> 00:24:27,480
Well, no, but they can talk about it, can't they?
432
00:24:27,480 --> 00:24:29,560
It doesn't just mean don't watch it.
433
00:24:29,560 --> 00:24:33,880
It means you can say to kids what you think is appropriate behaviour when the ads come
434
00:24:33,880 --> 00:24:36,520
on and I'm sure quite a lot of parents do do that.
435
00:24:36,520 --> 00:24:39,800
But too much sugar is very detrimental to your health.
436
00:24:39,800 --> 00:24:41,920
Too much anything is very detrimental to your health.
437
00:24:41,920 --> 00:24:44,200
Too much fat, too much salt.
438
00:24:44,200 --> 00:24:45,200
It's demonising...
439
00:24:45,200 --> 00:24:46,960
Not too much fruit and veg.
440
00:24:46,960 --> 00:24:52,840
Well, demonising one nutrient out of a whole range of them in the national menu is not
441
00:24:52,840 --> 00:24:54,080
going to be a helpful way to proceed.
442
00:24:54,080 --> 00:24:56,760
There is a hierarchy of nutrients.
443
00:24:56,760 --> 00:24:58,320
It's a problem, right?
444
00:24:58,320 --> 00:25:01,440
Well, obesity is a problem.
445
00:25:01,440 --> 00:25:05,200
And our position is very much about responsibility in this.
446
00:25:05,200 --> 00:25:09,560
Responsibility on the part of individual consumers, manufacturers, and of those who sell through
447
00:25:09,560 --> 00:25:13,760
the supermarkets or other shops, and of course through restaurants.
448
00:25:13,760 --> 00:25:18,000
At the moment, we're consuming lots more sugar than we're supposed to.
449
00:25:18,000 --> 00:25:20,840
We need to cut it quite drastically.
450
00:25:20,840 --> 00:25:26,120
Obviously sugar consumption in the UK per head is going down, not up, but from quite
451
00:25:26,120 --> 00:25:27,120
a high plateau.
452
00:25:27,120 --> 00:25:31,200
Now, the second report says that that's too much and they're the experts, so we have to
453
00:25:31,200 --> 00:25:32,400
listen to them.
454
00:25:32,400 --> 00:25:37,160
Sugar does seem to, kind of like if it was a badly behaved child, it would need to be
455
00:25:37,160 --> 00:25:39,000
put on the naughty step.
456
00:25:39,000 --> 00:25:41,120
And I'm saying it needs to go on the naughty step.
457
00:25:41,120 --> 00:25:44,440
But I think what you're saying is let feralness go?
458
00:25:44,440 --> 00:25:48,360
I mean, like, do you acknowledge that sugar is actually a problem?
459
00:25:48,360 --> 00:25:53,160
I think we acknowledge that excessive consumption of any single thing is a problem.
460
00:25:53,160 --> 00:25:58,280
OK, it's not statutory at the moment to say on any packaging about added sugars.
461
00:25:58,280 --> 00:25:59,280
Yeah.
462
00:25:59,280 --> 00:26:02,080
Well, one of the issues there is do people understand it?
463
00:26:02,080 --> 00:26:06,720
I mean, we've spent 80 years in this country educating people on the notion of calories
464
00:26:06,720 --> 00:26:08,720
and they've just about got it.
465
00:26:08,720 --> 00:26:14,000
If you start mucking about with the way you express these things, I think you put a barrier
466
00:26:14,000 --> 00:26:15,660
to people's understanding.
467
00:26:15,660 --> 00:26:22,200
Is it possible that businesses that need to make a profit can self-regulate successfully?
468
00:26:22,200 --> 00:26:23,240
Yeah.
469
00:26:23,240 --> 00:26:25,400
These businesses are responsible businesses.
470
00:26:25,400 --> 00:26:27,560
So yes, it is possible to do that.
471
00:26:27,560 --> 00:26:32,560
Our argument would be that the consumer's choice is the best way to go because government
472
00:26:32,560 --> 00:26:35,560
interventions simply don't work.
473
00:26:35,560 --> 00:26:40,060
Look, I get it, I run a business.
474
00:26:40,060 --> 00:26:43,320
Businesses need to make profit to exist, of course.
475
00:26:43,320 --> 00:26:47,400
But I always think that public health comes first, for sure.
476
00:26:47,400 --> 00:26:52,000
And self-regulation and personal responsibility isn't working.
477
00:26:52,000 --> 00:26:53,000
It's not working.
478
00:26:53,000 --> 00:26:57,840
And the fact is that it's not working because kids are getting sicker.
479
00:26:57,840 --> 00:27:03,800
That's why I think now is the time for the British government to step up and just get
480
00:27:03,800 --> 00:27:05,960
tougher on the industry's ass.
481
00:27:05,960 --> 00:27:24,360
One country where the government have been forced to take action on sugar is Mexico.
482
00:27:24,360 --> 00:27:30,280
It has some of the worst problems in the world, but could also offer some solutions.
483
00:27:30,280 --> 00:27:35,920
Thirty-five years ago, a third of people here were obese or overweight.
484
00:27:35,920 --> 00:27:41,320
Today, that figure has almost doubled, making them one of the fattest populations in the
485
00:27:41,320 --> 00:27:44,200
world.
486
00:27:44,200 --> 00:27:51,600
Type 2 diabetes is the leading cause of death, with an estimated 8 million people affected.
487
00:27:51,600 --> 00:27:57,360
In 1994, a trade agreement with the USA allowed increasing levels of processed food and sugary
488
00:27:57,360 --> 00:28:01,240
drinks to flood local economies.
489
00:28:01,240 --> 00:28:06,280
Local Mexican diets rapidly shifted towards high-calorie, processed foods and sugary sweetened
490
00:28:06,280 --> 00:28:07,280
drinks.
491
00:28:07,280 --> 00:28:14,400
I'm meeting the man leading the charge against sugary brands in Mexico, prominent campaigner
492
00:28:14,400 --> 00:28:16,080
Alejandro Calvillo.
493
00:28:16,080 --> 00:28:17,480
Thank you so much for meeting me.
494
00:28:17,480 --> 00:28:21,960
You are in the country with the highest level of soda consumption in the world, one of the
495
00:28:21,960 --> 00:28:28,280
highest levels of diabetes, obesity, overweight, and a lot of sickness related with the junk
496
00:28:28,280 --> 00:28:29,280
food consumption.
497
00:28:29,280 --> 00:28:35,200
You know, the people here in the little communities in the mountains, in the rural areas, drink
498
00:28:35,200 --> 00:28:37,600
a lot, a lot of coke.
499
00:28:37,600 --> 00:28:42,440
The communities don't have water to drink of quality, but they have coke.
500
00:28:42,440 --> 00:28:44,560
Right, so you've got a problem then.
501
00:28:44,560 --> 00:28:49,840
And the health system is collapsing at this moment, because we have a lot of people with
502
00:28:49,840 --> 00:28:53,920
diabetes, with amputation, blindness related with diabetes.
503
00:28:53,920 --> 00:29:01,120
It's a human drama that we are living here.
504
00:29:01,120 --> 00:29:04,320
I want to see for myself how bad it really is.
505
00:29:04,320 --> 00:29:08,840
So I've asked Alejandro to show me how sugary products are being marketed in some of the
506
00:29:08,840 --> 00:29:14,800
poorer and more remote indigenous areas.
507
00:29:14,800 --> 00:29:19,640
Before we even reach the first town, we're greeted with some familiar branding.
508
00:29:19,640 --> 00:29:24,680
You are at the entrance of Sinacantan, one of the most important indigenous communities
509
00:29:24,680 --> 00:29:26,240
here in Chiapas.
510
00:29:26,240 --> 00:29:31,100
And you find this billboard that says, "Welcome to Sinacantan."
511
00:29:31,100 --> 00:29:35,520
You see the coke bottle with the traditional dress of the woman here.
512
00:29:35,520 --> 00:29:37,040
The same as the girls behind me?
513
00:29:37,040 --> 00:29:38,040
Yes.
514
00:29:38,040 --> 00:29:41,120
This actual advertising is not just specific to the area, it's specific to this village.
515
00:29:41,120 --> 00:29:42,120
It's to this village.
516
00:29:42,120 --> 00:29:45,440
I mean, don't get me wrong, marketing is supposed to be efficient.
517
00:29:45,440 --> 00:29:46,440
Yes.
518
00:29:46,440 --> 00:29:47,440
This is very efficient.
519
00:29:47,440 --> 00:29:53,880
The problem is when your product is creating a health problem, you need to stop it.
520
00:29:53,880 --> 00:30:00,700
They cannot deal with the health impact of this level of soda consumption.
521
00:30:00,700 --> 00:30:06,240
These huge village-specific Coca-Cola billboards are the welcome signs to several indigenous
522
00:30:06,240 --> 00:30:08,520
villages in the Chiapas.
523
00:30:08,520 --> 00:30:14,120
The Coca-Cola bottling plant just 15 minutes down the road means that trucks here are often
524
00:30:14,120 --> 00:30:15,720
Coca-Cola red.
525
00:30:15,720 --> 00:30:18,520
Okay, so what are we looking at?
526
00:30:18,520 --> 00:30:22,760
Of the marketing and the promotion of soda consumption.
527
00:30:22,760 --> 00:30:24,680
You have all the soda there.
528
00:30:24,680 --> 00:30:27,000
Branding in the church, this is PepsiCo.
529
00:30:27,000 --> 00:30:31,840
I must say, it is kind of an ambush on the whole town.
530
00:30:31,840 --> 00:30:38,660
Next, Alejandro takes me to the Mayan village of San Juan de Mula.
531
00:30:38,660 --> 00:30:45,400
Communities here drink a lot of soda, over two litres per person per day.
532
00:30:45,400 --> 00:30:50,900
Too many sugary drinks can increase the risk of developing type 2 diabetes, and Alejandro
533
00:30:50,900 --> 00:30:54,480
is very concerned about the levels of the disease here.
534
00:30:54,480 --> 00:30:57,740
Why is it different here than the rest of Mexico then?
535
00:30:57,740 --> 00:31:04,120
Because the introduction of the soda consumption is so strong that it's part of the culture.
536
00:31:04,120 --> 00:31:08,720
They receive the Coke in the baby bottle.
537
00:31:08,720 --> 00:31:10,360
The kids receive all the time.
538
00:31:10,360 --> 00:31:17,120
Do the people in here today know about the scale of complexities and amputations?
539
00:31:17,120 --> 00:31:19,160
How many amputations do you have in Mexico?
540
00:31:19,160 --> 00:31:24,200
It's around, in 2013, 75,000 amputations.
541
00:31:24,200 --> 00:31:25,200
75,000?
542
00:31:25,200 --> 00:31:28,520
Related with diabetes.
543
00:31:28,520 --> 00:31:36,440
So you're about twice the size of Britain, with like 10 times the problem.
544
00:31:36,440 --> 00:31:40,560
The problem is the health system.
545
00:31:40,560 --> 00:31:42,240
We don't have the capacity to deal with the...
546
00:31:42,240 --> 00:31:43,240
Saving lives.
547
00:31:43,240 --> 00:31:44,240
Yeah.
548
00:31:44,240 --> 00:31:58,040
Alejandro's concern is that soda, and in particular Coke, has become an intrinsic part of culture.
549
00:31:58,040 --> 00:32:01,640
I'm off to a family gathering in Romarillo to see this for myself.
550
00:32:01,640 --> 00:32:04,640
How you doing, man?
551
00:32:04,640 --> 00:32:05,640
Good.
552
00:32:05,640 --> 00:32:06,640
Thanks for having me.
553
00:32:06,640 --> 00:32:07,640
So this is the father-in-law's altar.
554
00:32:07,640 --> 00:32:13,680
So now we're going to the little ceremony.
555
00:32:13,680 --> 00:32:17,200
So how important is having fizzy drinks for this offering?
556
00:32:17,200 --> 00:32:23,880
It shows that we're thankful to the saints and to offer them the drink too.
557
00:32:23,880 --> 00:32:26,320
The tradition is that they are thirsty.
558
00:32:26,320 --> 00:32:28,680
This is very traditional amongst all of the community.
559
00:32:28,680 --> 00:32:29,680
Yeah.
560
00:32:29,680 --> 00:32:30,680
Coke will be offered up.
561
00:32:30,680 --> 00:32:31,680
Yeah.
562
00:32:31,680 --> 00:32:32,680
Every party.
563
00:32:32,680 --> 00:32:33,680
Every party, every...
564
00:32:33,680 --> 00:32:35,040
And if you didn't, it would simply not be right.
565
00:32:35,040 --> 00:32:36,040
Yeah.
566
00:32:36,040 --> 00:32:44,440
So the Coke's been embraced as a kind of spiritual, sort of authentic part of the experience.
567
00:32:44,440 --> 00:32:45,440
Yeah.
568
00:32:45,440 --> 00:32:48,960
Just looking around me now, there's all these lovely people, your family.
569
00:32:48,960 --> 00:32:51,360
Every one of them's got a massive big old bottle of Coke.
570
00:32:51,360 --> 00:32:54,720
I mean, how many of these will they be drinking a day, average?
571
00:32:54,720 --> 00:32:57,800
Average, they would be drinking like three or four bottles.
572
00:32:57,800 --> 00:32:58,800
Yeah.
573
00:32:58,800 --> 00:32:59,800
And then the little one here?
574
00:32:59,800 --> 00:33:02,320
We usually serve the little one too.
575
00:33:02,320 --> 00:33:03,320
Yeah.
576
00:33:03,320 --> 00:33:04,320
All the ages.
577
00:33:04,320 --> 00:33:05,320
So even...
578
00:33:05,320 --> 00:33:07,160
Because I noticed she was just breastfeeding a minute ago.
579
00:33:07,160 --> 00:33:08,160
Yeah.
580
00:33:08,160 --> 00:33:09,880
But she's straight on the soda as well.
581
00:33:09,880 --> 00:33:11,560
So you mix them both up.
582
00:33:11,560 --> 00:33:12,560
Yeah.
583
00:33:12,560 --> 00:33:16,120
Do most mothers feed their babies Coke and breastfeed at the same time?
584
00:33:16,120 --> 00:33:17,840
Yeah, mostly everyone.
585
00:33:17,840 --> 00:33:22,920
So this drink is really the modern holy water?
586
00:33:22,920 --> 00:33:23,920
Yeah.
587
00:33:23,920 --> 00:33:26,680
So, Vin Santo.
588
00:33:26,680 --> 00:33:27,680
Vin Coco.
589
00:33:27,680 --> 00:33:28,680
Vin Coco.
590
00:33:28,680 --> 00:33:29,680
Okay.
591
00:33:29,680 --> 00:33:37,760
Coke, successfully offered to the saints, time to cook up a feast.
592
00:33:37,760 --> 00:33:42,520
She's making mole, which is like the absolute classic dish.
593
00:33:42,520 --> 00:33:45,200
It's really, really good.
594
00:33:45,200 --> 00:33:47,920
This is like my idea of heaven.
595
00:33:47,920 --> 00:33:52,920
But this absolutely beautiful traditional dish seems completely at odds with the drink
596
00:33:52,920 --> 00:33:57,120
it's being served up with.
597
00:33:57,120 --> 00:34:03,400
It's interesting seeing the modern day place for soda so central to everything.
598
00:34:03,400 --> 00:34:09,120
Just the sheer quantity of Coke getting knocked back by three, four, five, six, seven, eight,
599
00:34:09,120 --> 00:34:10,120
80 year olds.
600
00:34:10,120 --> 00:34:14,080
I haven't seen one kid drink a glass of water.
601
00:34:14,080 --> 00:34:18,240
It's all soda.
602
00:34:18,240 --> 00:34:21,760
So what did Coke have to say for themselves?
603
00:34:21,760 --> 00:34:27,980
We ensure our brands are marketed responsibly and never to children under 12.
604
00:34:27,980 --> 00:34:31,680
We offer low and no sugar options.
605
00:34:31,680 --> 00:34:35,720
We provide consumers with the information they need to make informed choices about our
606
00:34:35,720 --> 00:34:38,960
drinks.
607
00:34:38,960 --> 00:34:44,920
I'm shocked by what I've seen here, but the campaigners have been fighting back hard.
608
00:34:44,920 --> 00:34:50,080
A huge step forward in tackling the problem was the introduction of a soda tax in 2014.
609
00:34:50,080 --> 00:34:56,160
I'm keen to ask Alejandro how it's worked so far.
610
00:34:56,160 --> 00:35:01,240
And I wonder if it could provide part of the solution to our problems back home.
611
00:35:01,240 --> 00:35:03,960
So you've achieved a soda tax of 10%.
612
00:35:03,960 --> 00:35:04,960
What is it?
613
00:35:04,960 --> 00:35:10,080
The soda tax applies only for the drinks that have sugar added.
614
00:35:10,080 --> 00:35:11,080
And how much?
615
00:35:11,080 --> 00:35:13,520
It's one peso per litre.
616
00:35:13,520 --> 00:35:16,680
That is like 10% of the price.
617
00:35:16,680 --> 00:35:17,680
Right.
618
00:35:17,680 --> 00:35:18,680
OK.
619
00:35:18,680 --> 00:35:20,520
And how much money is that raising a year?
620
00:35:20,520 --> 00:35:25,400
In 2014, the revenue was $1.2 billion.
621
00:35:25,400 --> 00:35:26,400
That's good.
622
00:35:26,400 --> 00:35:27,400
New money.
623
00:35:27,400 --> 00:35:29,760
And did you see any drop off in consumption?
624
00:35:29,760 --> 00:35:33,840
In the first quarter, we have the only independent research.
625
00:35:33,840 --> 00:35:40,680
We have a reduction of 10% of the soda consumption and increase in water consumption and increase
626
00:35:40,680 --> 00:35:42,800
in milk also.
627
00:35:42,800 --> 00:35:44,340
Wow.
628
00:35:44,340 --> 00:35:46,860
That's the story for Britain that I want to read.
629
00:35:46,860 --> 00:35:48,400
So what about the general public?
630
00:35:48,400 --> 00:35:52,840
Do they understand the logic between you take from Peter to pay Paul?
631
00:35:52,840 --> 00:35:53,840
Yes.
632
00:35:53,840 --> 00:35:56,560
You say to people, do you support the soda taxes?
633
00:35:56,560 --> 00:36:00,120
This money go to water fountain size schools?
634
00:36:00,120 --> 00:36:02,120
They say yes.
635
00:36:02,120 --> 00:36:04,040
80% say yes.
636
00:36:04,040 --> 00:36:11,360
And now in Mexico, more than 80% make a very clear relation between soda consumption and
637
00:36:11,360 --> 00:36:12,360
diabetes.
638
00:36:12,360 --> 00:36:13,360
OK.
639
00:36:13,360 --> 00:36:14,360
Thank you.
640
00:36:14,360 --> 00:36:16,440
Because everything that you guys have been doing here kind of gives me hope.
641
00:36:17,160 --> 00:36:24,280
Now, you'll hear critics of these taxes saying it costs jobs and won't reduce how many sugary
642
00:36:24,280 --> 00:36:26,080
drinks people have.
643
00:36:26,080 --> 00:36:30,160
But the latest figures for Mexico's soda tax show that there's been a reduction in soda
644
00:36:30,160 --> 00:36:35,400
consumption of 6% and it's early days.
645
00:36:35,400 --> 00:36:39,120
There's definitely a long way to go in addressing the health crisis in Mexico.
646
00:36:39,120 --> 00:36:45,360
But I feel really inspired by Alejandro's victory.
647
00:36:45,360 --> 00:36:49,120
I reckon we should be doing the same here in Britain.
648
00:36:49,120 --> 00:36:55,280
Campaigners say a 20 pence per litre sugary drinks tax in the UK could raise up to a billion
649
00:36:55,280 --> 00:37:03,040
pounds a year, reduce obesity by around 200,000 people and save the NHS around 15 million
650
00:37:03,040 --> 00:37:05,240
pounds a year.
651
00:37:05,240 --> 00:37:10,680
You'll hear people argue that a tax like this is unfair on those who drink in moderation.
652
00:37:10,680 --> 00:37:14,180
But for me, we just need to take action.
653
00:37:14,180 --> 00:37:18,680
So would and could the British government impose their very own sugary drinks tax?
654
00:37:18,680 --> 00:37:21,840
I don't know and I'm definitely not going to hang around and wait to find out.
655
00:37:21,840 --> 00:37:25,880
But what I will do is put my neck on the line because I want to show them that it can work,
656
00:37:25,880 --> 00:37:30,700
it will work and that the money raised can go to places that will really make a difference
657
00:37:30,700 --> 00:37:31,840
in health.
658
00:37:31,840 --> 00:37:36,040
So I'm going to impose my very own sugary drinks tax in my restaurants.
659
00:37:36,040 --> 00:37:53,980
I'm introducing a sugary drinks tax in my own UK restaurants to show the government
660
00:37:53,980 --> 00:37:57,140
how it's done.
661
00:37:57,140 --> 00:38:02,400
I reckon I could raise around £80,000 a year and I want to spend that cash on children's
662
00:38:02,400 --> 00:38:04,660
food education.
663
00:38:04,660 --> 00:38:08,740
Just imagine what we could achieve if we had a tax on a national scale and use that
664
00:38:08,740 --> 00:38:13,900
cash to help schools and inspire children to make better choices.
665
00:38:13,900 --> 00:38:17,540
This was one of my schools 10 years ago in school dinners campaign.
666
00:38:17,540 --> 00:38:23,860
This is Charlemanor and if we're going to tax sugary drinks, seven pence on a can, then
667
00:38:23,860 --> 00:38:27,380
there's a billion pounds a year raised through that.
668
00:38:27,380 --> 00:38:31,240
And I think a massive chunk of that should go into primary schools across Britain to
669
00:38:31,240 --> 00:38:34,100
support teachers and support learning.
670
00:38:34,100 --> 00:38:39,460
And if you want to know what a school looks like when they put food at the heart of it,
671
00:38:39,460 --> 00:38:42,460
come and have a look at this.
672
00:38:42,460 --> 00:38:45,060
Let's have a look.
673
00:38:45,060 --> 00:38:46,500
OK, here we go.
674
00:38:46,500 --> 00:38:53,140
Head teacher Tim Baker has put food and cooking at the very centre of his school and the lessons.
675
00:38:53,140 --> 00:38:55,100
Hello.
676
00:38:55,100 --> 00:38:58,580
And the school and pupils are reaping the rewards in great results.
677
00:38:58,580 --> 00:39:01,500
What we're teaching is cooking skills.
678
00:39:01,500 --> 00:39:05,620
We know English and maths are essential life skills, but actually cooking skills are life's
679
00:39:05,620 --> 00:39:06,620
necessities.
680
00:39:06,620 --> 00:39:08,220
What are you cooking with today?
681
00:39:08,220 --> 00:39:09,220
Beetroot.
682
00:39:09,220 --> 00:39:10,700
Hands up if you like beetroot.
683
00:39:10,700 --> 00:39:11,700
Me!
684
00:39:11,700 --> 00:39:12,700
Me!
685
00:39:12,700 --> 00:39:13,700
Me!
686
00:39:13,700 --> 00:39:16,140
It's not very often you get an army of kids saying they love beetroot.
687
00:39:16,140 --> 00:39:17,140
Where do you get your beetroot from?
688
00:39:17,140 --> 00:39:18,140
Here.
689
00:39:18,140 --> 00:39:21,140
So who's going to take me there to get some?
690
00:39:21,140 --> 00:39:22,140
Me!
691
00:39:22,140 --> 00:39:23,140
Me!
692
00:39:23,140 --> 00:39:24,140
Me!
693
00:39:24,140 --> 00:39:28,500
The kids even have their own garden where they grow all kinds of food for cooking and
694
00:39:28,500 --> 00:39:29,500
learning.
695
00:39:29,500 --> 00:39:30,500
Oh, wow.
696
00:39:30,500 --> 00:39:31,500
So who's going to pull the beetroot out for me?
697
00:39:31,500 --> 00:39:32,500
Me!
698
00:39:32,500 --> 00:39:33,500
That's it, go on.
699
00:39:33,500 --> 00:39:34,500
Whee!
700
00:39:34,500 --> 00:39:35,500
These are lovely beetroots.
701
00:39:35,500 --> 00:39:36,500
Well, good luck with the cake baking.
702
00:39:36,500 --> 00:39:37,500
Is it going to taste nice?
703
00:39:37,500 --> 00:39:38,500
It's going to be yummy.
704
00:39:38,500 --> 00:39:39,500
It has honey.
705
00:39:39,500 --> 00:39:40,500
Honey from the bees.
706
00:39:40,500 --> 00:39:41,500
But you haven't got bees here, though.
707
00:39:41,500 --> 00:39:42,500
We do have bees.
708
00:39:42,500 --> 00:39:43,500
Have you?
709
00:39:43,500 --> 00:39:44,500
Bees?
710
00:39:44,500 --> 00:39:45,500
Look, bee honey.
711
00:39:45,500 --> 00:39:51,500
The responsibility for primary schools is to enable the children to learn and to be
712
00:39:51,500 --> 00:40:02,500
successful.
713
00:40:02,500 --> 00:40:07,060
And so we have a responsibility to ensure they are eating healthily and understand why
714
00:40:07,060 --> 00:40:08,660
it's important to eat healthily.
715
00:40:08,660 --> 00:40:12,260
If you're going to get taxed seven pence on a can of Coke and a proportion of that is
716
00:40:12,260 --> 00:40:16,780
going to be given to head teachers in primary schools across the country, is that money
717
00:40:16,780 --> 00:40:18,060
well spent or not?
718
00:40:18,060 --> 00:40:19,060
Incredibly well spent.
719
00:40:19,060 --> 00:40:22,820
What we've got to make sure is that we educate these children.
720
00:40:22,820 --> 00:40:26,660
And to educate those children, we need that new money.
721
00:40:26,660 --> 00:40:31,700
The benefits of Tim's personal mission to teach kids about food are clear.
722
00:40:31,700 --> 00:40:32,700
You guys are 11, right?
723
00:40:32,700 --> 00:40:33,700
Yes.
724
00:40:33,700 --> 00:40:34,700
So how many of you can cook?
725
00:40:34,700 --> 00:40:35,700
Me.
726
00:40:35,700 --> 00:40:36,700
That's all of them.
727
00:40:36,700 --> 00:40:37,700
Hello.
728
00:40:37,700 --> 00:40:48,700
This is quite a big deal for me because ten years ago when I came here, the food was terrible.
729
00:40:48,700 --> 00:40:49,700
And this is beautiful.
730
00:40:49,700 --> 00:40:54,940
You know, everything that Tim's doing here is about raising kids who are more likely
731
00:40:54,940 --> 00:41:02,540
to lead healthier, longer, more productive lives.
732
00:41:02,540 --> 00:41:06,940
For a nationwide sugary drinks tax to work, the money raised must be ring-fenced to help
733
00:41:06,940 --> 00:41:08,540
fight the problem.
734
00:41:08,540 --> 00:41:10,740
I want to show the government how it's done.
735
00:41:10,740 --> 00:41:15,760
I've committed to a tax in my restaurants, but can I get others to join me?
736
00:41:15,760 --> 00:41:21,960
It's going to take some convincing, so I've called in some leading experts to help me.
737
00:41:21,960 --> 00:41:27,500
These guys are all CEOs, directors and founders of some of the biggest and brightest restaurant
738
00:41:27,500 --> 00:41:32,440
groups in the UK.
739
00:41:32,440 --> 00:41:38,060
I'm really excited that we've got some amazing businesses from the restaurant industry in
740
00:41:38,060 --> 00:41:39,060
the room.
741
00:41:39,060 --> 00:41:43,440
If I can do just some broad strokes about where Britain is right now with public health.
742
00:41:43,440 --> 00:41:46,260
We have some of the most unhealthy kids in Europe.
743
00:41:46,260 --> 00:41:51,220
The single biggest reason for a child being put under general anaesthetic is actually
744
00:41:51,220 --> 00:41:54,560
to have multiple teeth extractions.
745
00:41:54,560 --> 00:42:00,460
So here we've got a pile of 130 legs and this represents the expected amount of amputations
746
00:42:00,460 --> 00:42:04,280
every single week in Britain just from diabetes.
747
00:42:04,280 --> 00:42:06,860
7,000 a year.
748
00:42:06,860 --> 00:42:09,440
And it's just not acceptable.
749
00:42:09,440 --> 00:42:11,680
Doing nothing I think is unforgivable.
750
00:42:11,680 --> 00:42:19,600
What I'm kind of heading for is a kind of self-inflicted tax on sugary drinks.
751
00:42:19,600 --> 00:42:21,960
I don't think I'm mad.
752
00:42:21,960 --> 00:42:23,960
I know it's important.
753
00:42:23,960 --> 00:42:26,600
Graham, why sugar?
754
00:42:26,600 --> 00:42:29,840
Well sugar is a completely unnecessary source of calories.
755
00:42:29,840 --> 00:42:34,120
We have this crisis of obesity and absolutely nothing has happened in the last five years
756
00:42:34,120 --> 00:42:35,640
and that is a scandal.
757
00:42:35,640 --> 00:42:39,120
We're just allowing our children to become obese, everyone else to get obese and they're
758
00:42:39,120 --> 00:42:41,260
dying of it completely unnecessarily.
759
00:42:41,260 --> 00:42:42,440
We need to change.
760
00:42:42,440 --> 00:42:44,380
One way of changing this is to have a tax.
761
00:42:44,380 --> 00:42:48,680
In terms of implementing something like this in the restaurant, I wonder whether there
762
00:42:48,680 --> 00:42:53,360
is another way for us particularly that might implement something where you actually steer
763
00:42:53,360 --> 00:42:56,400
people towards something that's better.
764
00:42:56,400 --> 00:43:01,280
Trying to persuade people to do something has not worked in terms of obesity or many
765
00:43:01,280 --> 00:43:04,080
of the other nutrition related diseases.
766
00:43:04,080 --> 00:43:10,040
You know I think there are other ways that one can potentially attack the problem.
767
00:43:10,040 --> 00:43:15,880
Putting this tax on it would firstly discourage people from drinking sugary drinks and also
768
00:43:15,880 --> 00:43:19,840
raising the money for education in schools and for the health service would be a really
769
00:43:19,840 --> 00:43:24,160
fantastic thing as well because we do need money to address the obesity crisis.
770
00:43:24,160 --> 00:43:26,840
Tim, what difference would that money make?
771
00:43:26,840 --> 00:43:31,920
Most essentially what it would fund is a healthier outcome for the school children of, you know,
772
00:43:31,920 --> 00:43:32,920
across Britain.
773
00:43:32,920 --> 00:43:37,560
Does it have the power to help curb kids leaving primary school overweight or obese?
774
00:43:37,560 --> 00:43:42,720
I challenge anyone here to come to my school and find three children that will be leaving
775
00:43:42,720 --> 00:43:44,480
my school obese.
776
00:43:44,480 --> 00:43:47,140
We are proof that it works.
777
00:43:47,140 --> 00:43:53,660
This kind of levy should kickstart the government and say what the hell are we doing sitting
778
00:43:53,660 --> 00:43:59,140
in Whitehall not producing any kind of strategy and here are these guys who are taking it
779
00:43:59,140 --> 00:44:00,980
on their own to do something.
780
00:44:00,980 --> 00:44:05,440
I would be 100% behind you in what you're trying to do.
781
00:44:05,440 --> 00:44:06,720
Thank you, Tam.
782
00:44:06,720 --> 00:44:08,680
There is precedent.
783
00:44:08,680 --> 00:44:15,840
Mexico are doing it, seeing the benefits of lower consumption and money raised.
784
00:44:15,840 --> 00:44:22,120
I think the restaurant industry absolutely has the power and the kind of verve and excitement
785
00:44:22,120 --> 00:44:32,080
and access to the public to do it beautifully.
786
00:44:32,080 --> 00:44:34,320
That was intense.
787
00:44:34,320 --> 00:44:36,640
Time to find out if anyone's up for it.
788
00:44:36,640 --> 00:44:40,960
It's a huge opportunity and it's a journey that we're on.
789
00:44:40,960 --> 00:44:43,200
I think we need to mull it over.
790
00:44:43,200 --> 00:44:44,960
How is this right for our business?
791
00:44:44,960 --> 00:44:49,160
What is it for Costa and then Whitbread and all the board names?
792
00:44:49,160 --> 00:44:54,800
I think it's something we may well be interested in as a business but it's that big stack of
793
00:44:54,800 --> 00:44:57,280
legs that really confessed me.
794
00:44:57,280 --> 00:45:01,520
I didn't really realise quite how dramatic the problem was.
795
00:45:01,520 --> 00:45:04,200
We'll look at how we can get involved.
796
00:45:04,200 --> 00:45:07,520
I'd like to try and help.
797
00:45:07,520 --> 00:45:11,920
Any kind of tax is a tough sell but I believe this is different and I'm determined to get
798
00:45:11,920 --> 00:45:13,040
this off the ground.
799
00:45:13,040 --> 00:45:19,320
My biggest worry is the urgency, the urgency in which change is needed.
800
00:45:19,320 --> 00:45:22,320
And I know personally that I hate doing nothing.
801
00:45:22,320 --> 00:45:26,800
So definitely a rocket up the arse of the government is a really positive thing.
802
00:45:26,800 --> 00:45:32,080
We want them briefed and working hard for us and it's going to be really interesting
803
00:45:32,080 --> 00:45:42,840
to see if an industry that's connected to food can come together as a unified voice.
804
00:45:42,840 --> 00:45:47,320
The tax will roll out in my UK restaurants this autumn.
805
00:45:47,320 --> 00:45:51,440
I hope some of the other restaurants will decide to join me but what I really want is
806
00:45:51,440 --> 00:45:53,120
for the government to start listening.
807
00:45:53,120 --> 00:45:58,480
This is what's at stake.
808
00:45:58,480 --> 00:45:59,480
The kids of Britain, right?
809
00:45:59,480 --> 00:46:00,480
Their health, their wellbeing.
810
00:46:00,480 --> 00:46:03,240
Where will they be in 10, 15, 20 years?
811
00:46:03,240 --> 00:46:05,600
Where will their kids be?
812
00:46:05,600 --> 00:46:11,680
I believe we can make change happen but I need your help because this really matters
813
00:46:11,680 --> 00:46:15,720
and I want us to make a whole load of noise about it.
814
00:46:15,720 --> 00:46:19,960
If you think we should introduce a national sugary drinks tax then please, please get
815
00:46:19,960 --> 00:46:22,200
online and show your support now.
816
00:46:23,200 --> 00:46:27,920
Go to channel4.com/sugarrush and sign.
817
00:46:27,920 --> 00:46:33,440
It's that simple and the more people that sign up, the more voices get heard and the
818
00:46:33,440 --> 00:46:37,780
more pressure it puts on the government to change their strategy.
819
00:46:37,780 --> 00:46:42,420
We need a sugary drinks tax and that billion pounds we can raise a year, that can be spent
820
00:46:42,420 --> 00:46:48,160
in schools all across Britain, in hospitals all across Britain, in nurseries.
821
00:46:48,160 --> 00:46:51,480
That's what we need and this, this is what it's all about.
822
00:46:51,480 --> 00:46:54,060
(upbeat music)
823
00:46:54,060 --> 00:46:56,640
(upbeat music)
824
00:46:56,640 --> 00:46:59,220
(upbeat music)
825
00:46:59,220 --> 00:47:01,800
(upbeat music)
826
00:47:01,800 --> 00:47:22,820
[Music]
827
00:47:22,820 --> 00:47:24,820
[Music]
828
00:47:24,820 --> 00:47:26,820
[Music]
829
00:47:26,820 --> 00:47:36,820
[BLANK_AUDIO]
Help me extract the subtitle text
|
20a2f593adcd3c33deb678e57c6b59a1
|
{
"intermediate": 0.3129251301288605,
"beginner": 0.47117409110069275,
"expert": 0.21590079367160797
}
|
34,728
|
make a youtube niche finder tool for me which has a UI. I want to find niches with very less competition in it.
|
78cdfd80d6b2a3521302d3138e13a94d
|
{
"intermediate": 0.3324393033981323,
"beginner": 0.2558222711086273,
"expert": 0.41173839569091797
}
|
34,729
|
The error says this, "Uncaught SyntaxError: Invalid or unexpected token
|
0e1aff7f68992a88b37a51893f470f69
|
{
"intermediate": 0.2752319872379303,
"beginner": 0.4944838583469391,
"expert": 0.23028410971164703
}
|
34,730
|
• Original plaintext is a string of English capital alphabets • Plaintext sequence was made by converting plaintext letters (English capital letters) to ASCII codes (Refer to https://www.ascii-code.com/) • Example) Convert ‘WE’ – W = 0x57 = 0101 0111 – E = 0x45 = 0100 0101 – Plaintext sequence (𝑝0, 𝑝1, … , 𝑝15)= 0 1 0 1 0 1 1 1 0 1 0 0 0 1 0 1
𝑠0, 𝑠1, … , 𝑠𝑛−1 are the initial key values • 𝑎0, 𝑎1, … , 𝑎𝑛−1 are the coefficients • Key string begins with 𝑠0, 𝑠1, … , 𝑠𝑛−1, and the next bit 𝑠𝑛 is: 𝑠𝑛 = 𝑎𝑛−1𝑠𝑛−1 ⊕ ⋯ ⊕ 𝑎1𝑠1⨁𝑎0𝑠0 (𝑎𝑖 , 𝑠𝑖 ∈ {0, 1}) • Generally, key string bits 𝑠𝑖 (𝑖 ≥ 𝑛) can be generated by: 𝑠𝑚+𝑛 = 𝑎𝑛−1𝑠𝑚+𝑛−1 ⊕ ⋯ ⊕ 𝑎1𝑠𝑚+1⨁𝑎0𝑠𝑚
𝑠3 is a XOR sum of 𝑠2 and 𝑠0: 𝑠3 = 1 ∙ 𝑠2 ⊕ 0 ∙ 𝑠1 ⊕ 1 ∙ 𝑠0 • So, 𝑎2 = 1, 𝑎1 = 0, 𝑎0 = 1
The generated key string will have iteration • The period of iteration depends on the combination of coefficients • Example – 𝑠𝑛+3 = 1 ∙ 𝑠𝑛+2 ⊕ 0 ∙ 𝑠𝑛+1 ⊕ 1 ∙ 𝑠𝑛 – Let’s choose the initial key values as 𝑠2 = 0, 𝑠1 = 0, 𝑠0 = 1 – (𝑠𝑛+2, 𝑠𝑛+1, 𝑠𝑛) – n = 0: (0, 0, 1) n = 4: (0, 1, 1) – n = 1: (1, 0, 0) n = 5: (1, 0, 1) – n = 2: (1, 1, 0) n = 6: (0, 1, 0) – n = 3: (1, 1, 1) n = 7: (0, 0, 1) – In this case, period = 7, and 𝑠0, 𝑠1, … , 𝑠6 = 1 0 0 1 1 1 0
Another example with the same initial bit length, but different coefficients • Example – 𝑠3 = 1 ∙ 𝑠2 ⊕ 1 ∙ 𝑠1 ⊕ 1 ∙ 𝑠0 – Let’s choose the initial key values as 𝑠2 = 0, 𝑠1 = 0, 𝑠0 = 1 – (𝑠𝑛+2, 𝑠𝑛+1, 𝑠𝑛) – n = 0: (0, 0, 1) – n = 1: (1, 0, 0) – n = 2: (1, 1, 0) – n = 3: (0, 1, 1) – n = 4: (0, 0, 1) – In this case, period = 4 and 𝑠0, 𝑠1, … , 𝑠3 = 1 0 0 1
Here is your task: You are given ciphertext of 344 bits • Original plaintext is a string of 43 English capital letters • Ciphertext was generated by XOR operation of plaintext sequence and key string sequence (𝑐𝑖 = 𝑝𝑖 ⊕ 𝑘𝑖)
Key string is generated by the method explained before • Initial bit length is n (5 ≤ 𝑛 ≤ 7) 𝑠𝑛 = 𝑎𝑛−1𝑠𝑛−1 ⊕ ⋯ ⊕ 𝑎1𝑠1⨁𝑎0𝑠0 • Coefficients satisfy following condition: Period of the key string T satisfies 𝑇 ≥ 2 𝑛 − 1 • Ciphertext is given
Find out n
Find the initial key 𝑠0, 𝑠1, … , 𝑠𝑛−1 and the coefficients 𝑎0, 𝑎1, … , 𝑎𝑛−1
Denote the set of coefficient pairs (𝑎0, 𝑎1, … , 𝑎𝑛−1) that satisfy 𝑇 ≥ 2 𝑛 − 1 as A: 𝐴 = {(𝑎0, 𝑎1, … , 𝑎𝑛−1)| 𝑇 ≥ 2 𝑛 − 1} Among the elements of A, find the number of (𝑎0, 𝑎1, … , 𝑎𝑛−1) that satisfy 𝑎0, 𝑎1, 𝑎2 … , 𝑎𝑛−2, 𝑎𝑛−1 ∈ 𝐴 𝑎𝑛𝑑 (𝑎0, 𝑎𝑛−1, 𝑎𝑛−2, … 𝑎2, 𝑎1) ∈ 𝐴
Recover the plaintext
Write a python program to achieve these steps.
|
2665be1106d885d982f46986ede16c7a
|
{
"intermediate": 0.4698432385921478,
"beginner": 0.2989318072795868,
"expert": 0.23122495412826538
}
|
34,731
|
hi
|
47eb39c42b8272660dc4c26473bb8363
|
{
"intermediate": 0.3246487081050873,
"beginner": 0.27135494351387024,
"expert": 0.40399640798568726
}
|
34,732
|
This is my code"<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>YouTube Niche Finder Tool</title>
<style>
/* Add your CSS styling here */
</style>
</head>
<body>
<h1>YouTube Niche Finder</h1>
<input type="text" id="searchQuery" placeholder="Enter a keyword…">
<button id="searchBtn">Find Niche</button>
<div id="results"></div>
<script>
document.getElementById('searchBtn').addEventListener('click', () => {
const query = document.getElementById('searchQuery').value;
fetch('/search', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify({ query }), // send the search query to the server
})
.then(response => response.json())
.then(data => {
document.getElementById('results').textContent = `Competition Level: ${data.competition};
})
.catch(error => {
console.error('Error:', error);
document.getElementById('results').textContent = 'An error occurred.';
});
});
</script>
</body>
</html>" now it says this, "Uncaught SyntaxError: Unexpected end of input (at (index):37:5)"
|
61d7e18da04f614e6edb2973fb0600d1
|
{
"intermediate": 0.34252193570137024,
"beginner": 0.44688376784324646,
"expert": 0.2105942666530609
}
|
34,733
|
This code doesn't work properly: from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from bs4 import BeautifulSoup
import time
import os
import random
import string
from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.chrome.options import Options
def get_random_url():
# Random URL generation logic goes here
# This is a naive example: Generates random strings and appends to a common domain
random_string = "".join(random.choice(string.ascii_lowercase) for i in range(10))
url = f"http://{random_string}.com"
return url
def setup_browser():
# Set up Chrome options
chrome_options = Options()
chrome_options.add_argument("-headless") # for headless mode
# Path to your chromedriver executable
service = Service("C:/Users/Dell-PC/Desktop/Projets/Img-2-Code/chromedriver-win64/chromedriver.exe")
browser = webdriver.Chrome(service=service, options=chrome_options)
return browser
browser = setup_browser()
number_of_websites_to_visit = 100
for i in range(number_of_websites_to_visit):
url = get_random_url()
try:
browser.get(url)
time.sleep(3) # Wait for the page to load
screenshot_path = os.path.join("screenshots", f"screen_{i}.png")
html_path = os.path.join("html", f"html_{i}.html")
# Taking a screenshot
browser.save_screenshot(screenshot_path)
# Getting HTML source
html = browser.page_source
soup = BeautifulSoup(html, "html.parser")
with open(html_path, "w", encoding="utf-8") as file:
file.write(str(soup.prettify()))
except Exception as e:
print(f"An error occurred while fetching {url}: {e}")
browser.quit()
|
ce0038cc7aa954e5e80c1a069d4def73
|
{
"intermediate": 0.3737868070602417,
"beginner": 0.4243357181549072,
"expert": 0.20187748968601227
}
|
34,734
|
В C# я добавил ComboBox для выбора языка отображаемого в ListView. Как сделать чтобы при выборе языка English или Русский, изменялись названиия колонок, а также названия предметов и кнопки. Также можно добавить checkbox чтобы названия предметов не изменялись.
Есть такой файл класса ItemsList.cs
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using static System.Windows.Forms.VisualStyles.VisualStyleElement;
namespace Albion_Helper
{
public class Item
{
public string EnglishName { get; set; }
public string RussianName { get; set; }
public string Category { get; set; }
public string Subcategory { get; set; }
public int MinLevel { get; set; }
public int MinCharm { get; set; }
public int Level { get; set; }
public int Charms { get; set; }
public string Quality { get; set; }
public string RussianQuality { get; set; }
public string ImageFileName { get; set; }
public string GetImageFileName()
{
string enchantmentSuffix = Charms > 0 ? "@" + Charms.ToString() : string.Empty;
return $"T{Level}_{ImageFileName}{enchantmentSuffix}";
}
public string GetImageFileNameForMin()
{
return $"T{Level}_{ImageFileName}";
}
public Item(string englishName, string russianName,
string Category, string Subcategory,
int minLevel, int minCharms, int level, int charms, string quality, string imageFileName)
{
EnglishName = englishName;
RussianName = russianName;
Category = Category;
Subcategory = Subcategory;
MinLevel = minLevel;
MinCharm = minCharms;
Level = level;
Charms = charms;
Quality = quality;
ImageFileName = imageFileName;
}
public string GetCategory()
{
return Category;
}
public string GetFullEnglishName()
{
string prefix = GetLevelPrefix();
return prefix + " " + EnglishName;
}
public string GetLevelPrefix()
{
// Вставьте логику для возвращения префикса уровня
switch (Level)
{
case 1: return "Beginner's";
case 2: return "Novice's";
case 3: return "Journeyman’s";
case 4: return "Adept’s";
case 5: return "Expert’s";
case 6: return "Master’s";
case 7: return "Grandmaster’s";
case 8: return "Elder’s";
default: return "";
}
}
}
public class ItemsList
{
// Приватное поле для хранения списка предметов
public List<Item> items;
public List<Item> GetItems() => items;
// Конструктор класса ItemsList
public ItemsList()
{
items = new List<Item>();
items.Add(new Item
("Arcane Staff", "Арканый посох",
"Weapons",
"Magic Staffs",
3, // Минимальный уровень этого предмета
0, // Минимальный уровень чар этого предмета
3, // Текущий уровень предмета
0, // Уровень чар предмета
"Normal", "MAIN_ARCANESTAFF"));
items.Add(new Item
("Mercenary Hood", "Капюшон наемника",
"Armor",
"Leather Helmet",
1, // Минимальный уровень этого предмета
0, // Минимальный уровень чар этого предмета
1, // Текущий уровень предмета
0, // Уровень чар предмета
"Normal", "HEAD_LEATHER_SET1"));
items.Add(new Item
("Scholar Robe", "Мантия ученого",
"Armor",
"Cloth Armor",
2, // Минимальный уровень этого предмета
0, // Минимальный уровень чар этого предмета
2, // Текущий уровень предмета
0, // Уровень чар предмета
"Normal", "ARMOR_CLOTH_SET1"));
}
}
}
|
f3786c734227baf5fe0c0916d46bba33
|
{
"intermediate": 0.3127641975879669,
"beginner": 0.5342171788215637,
"expert": 0.15301860868930817
}
|
34,735
|
Есть такой метод, как сделать чтобы он убирал не только выделенные, а все предметы
private void RemoveFromInventory_Click(object sender, EventArgs e)
{
if (InventoryList.SelectedItems.Count > 0)
{
// Создаём список элементов, чтобы не изменять коллекцию во время просмотра
List<ListViewItem> selectedItems = new List<ListViewItem>(InventoryList.SelectedItems.Cast<ListViewItem>());
foreach (ListViewItem inventoryItem in selectedItems)
{
// Получаем объект Item из Tag выделенного элемента
Item item = inventoryItem.Tag as Item;
if (item != null)
{
// Сбрасываем значения до изначальных
item.Level = item.MinLevel; // Указываем начальное значение для уровня
item.Charms = item.MinCharm; // Указываем начальное значение для чаров
// Создаём новый элемент для BrowserList
ListViewItem browserItem = itemsProcessing.CreateBrowserListViewItem(item);
BrowserList.Items.Add(browserItem);
}
// Удаляем элемент из InventoryList
InventoryList.Items.Remove(inventoryItem);
}
}
}
|
485676eaa10d88cb343af2cb0739fb80
|
{
"intermediate": 0.3847731649875641,
"beginner": 0.44464612007141113,
"expert": 0.17058072984218597
}
|
34,736
|
Do[AppendTo[Bits,
DataFromBlock[stegoBlocks[[i, j]], mask, inverseMask,
coefficients]], {j, Length[stegoblok[[1]]]}, {i,
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GraphicsBox[TagBox[RasterBox[{{{161, 153, 142}, {161, 153, 142}, {160, 152, 141}, {158, 152, 140}, {158, 152, 140}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}}, {{160, 152, 141}, {159, 151, 140}, {158, 152, 140}, {157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{159, 151, 140}, {158, 152, 140}, {157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{158, 152, 140}, {158, 152, 140}, {157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{154, 150, 138}, {154, 150, 138}, {154, 150, 138}, {154, 150, 138}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{153, 149, 137}, {154, 150, 138}, {154, 150, 138}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{154, 150, 138}, {154, 150, 138}, {155, 151, 139}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}}}, {{0, 8}, {8, 0}}, {0, 255},
ColorFunction->RGBColor],
BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
Selectable->False],
BaseStyle->"ImageGraphics",
ImageSize->Magnification[1],
ImageSizeRaw->{8, 8},
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ColorFunction->RGBColor],
BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
Selectable->False],
BaseStyle->"ImageGraphics",
ImageSize->Magnification[1],
ImageSizeRaw->{8, 8},
PlotRange->{{0, 8}, {0, 8}}]\),CurlyDoubleQuote[Byte]],0},{ImageData[\!\(\*
GraphicsBox[TagBox[RasterBox[{{{161, 153, 142}, {161, 153, 142}, {160, 152, 141}, {158, 152, 140}, {158, 152, 140}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}}, {{160, 152, 141}, {159, 151, 140}, {158, 152, 140}, {157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{159, 151, 140}, {158, 152, 140}, {157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{158, 152, 140}, {158, 152, 140}, {157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{154, 150, 138}, {154, 150, 138}, {154, 150, 138}, {154, 150, 138}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{153, 149, 137}, {154, 150, 138}, {154, 150, 138}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{154, 150, 138}, {154, 150, 138}, {155, 151, 139}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}}}, {{0, 8}, {8, 0}}, {0, 255},
ColorFunction->RGBColor],
BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
Selectable->False],
BaseStyle->"ImageGraphics",
ImageSize->Magnification[1],
ImageSizeRaw->{8, 8},
PlotRange->{{0, 8}, {0, 8}}]\),CurlyDoubleQuote[Byte]],0},<<27>>,{ImageData[\!\(\*
GraphicsBox[TagBox[RasterBox[{{{161, 153, 142}, {161, 153, 142}, {160, 152, 141}, {158, 152, 140}, {158, 152, 140}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}}, {{160, 152, 141}, {159, 151, 140}, {158, 152, 140}, {157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{159, 151, 140}, {158, 152, 140}, {157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{158, 152, 140}, {158, 152, 140}, {157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{154, 150, 138}, {154, 150, 138}, {154, 150, 138}, {154, 150, 138}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{153, 149, 137}, {154, 150, 138}, {154, 150, 138}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{154, 150, 138}, {154, 150, 138}, {155, 151, 139}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}}}, {{0, 8}, {8, 0}}, {0, 255},
ColorFunction->RGBColor],
BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
Selectable->False],
BaseStyle->"ImageGraphics",
ImageSize->Magnification[1],
ImageSizeRaw->{8, 8},
PlotRange->{{0, 8}, {0, 8}}]\),CurlyDoubleQuote[Byte]],0},{ImageData[\!\(\*
GraphicsBox[TagBox[RasterBox[{{{161, 153, 142}, {161, 153, 142}, {160, 152, 141}, {158, 152, 140}, {158, 152, 140}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}}, {{160, 152, 141}, {159, 151, 140}, {158, 152, 140}, {157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{159, 151, 140}, {158, 152, 140}, {157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{158, 152, 140}, {158, 152, 140}, {157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{154, 150, 138}, {154, 150, 138}, {154, 150, 138}, {154, 150, 138}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{153, 149, 137}, {154, 150, 138}, {154, 150, 138}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{154, 150, 138}, {154, 150, 138}, {155, 151, 139}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}}}, {{0, 8}, {8, 0}}, {0, 255},
ColorFunction->RGBColor],
BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
Selectable->False],
BaseStyle->"ImageGraphics",
ImageSize->Magnification[1],
ImageSizeRaw->{8, 8},
PlotRange->{{0, 8}, {0, 8}}]\),CurlyDoubleQuote[Byte]],0}} and {0.299,0.587,0.114} have incompatible shapes. >>Dot::dotsh: Tensors {{0,ImageData[\!\(\*
GraphicsBox[TagBox[RasterBox[{{{161, 153, 142}, {161, 153, 142}, {160, 152, 141}, {158, 152, 140}, {158, 152, 140}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}}, {{160, 152, 141}, {159, 151, 140}, {158, 152, 140}, {157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{159, 151, 140}, {158, 152, 140}, {157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{158, 152, 140}, {158, 152, 140}, {157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{154, 150, 138}, {154, 150, 138}, {154, 150, 138}, {154, 150, 138}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{153, 149, 137}, {154, 150, 138}, {154, 150, 138}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{154, 150, 138}, {154, 150, 138}, {155, 151, 139}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}}}, {{0, 8}, {8, 0}}, {0, 255},
ColorFunction->RGBColor],
BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
Selectable->False],
BaseStyle->"ImageGraphics",
ImageSize->Magnification[1],
ImageSizeRaw->{8, 8},
PlotRange->{{0, 8}, {0, 8}}]\),CurlyDoubleQuote[Byte]]},{0,ImageData[\!\(\*
GraphicsBox[TagBox[RasterBox[{{{161, 153, 142}, {161, 153, 142}, {160, 152, 141}, {158, 152, 140}, {158, 152, 140}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}}, {{160, 152, 141}, {159, 151, 140}, {158, 152, 140}, {157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{159, 151, 140}, {158, 152, 140}, {157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{158, 152, 140}, {158, 152, 140}, {157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{154, 150, 138}, {154, 150, 138}, {154, 150, 138}, {154, 150, 138}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{153, 149, 137}, {154, 150, 138}, {154, 150, 138}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{154, 150, 138}, {154, 150, 138}, {155, 151, 139}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}}}, {{0, 8}, {8, 0}}, {0, 255},
ColorFunction->RGBColor],
BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
Selectable->False],
BaseStyle->"ImageGraphics",
ImageSize->Magnification[1],
ImageSizeRaw->{8, 8},
PlotRange->{{0, 8}, {0, 8}}]\),CurlyDoubleQuote[Byte]]},{0,ImageData[\!\(\*
GraphicsBox[TagBox[RasterBox[{{{161, 153, 142}, {161, 153, 142}, {160, 152, 141}, {158, 152, 140}, {158, 152, 140}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}}, {{160, 152, 141}, {159, 151, 140}, {158, 152, 140}, {157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{159, 151, 140}, {158, 152, 140}, {157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{158, 152, 140}, {158, 152, 140}, {157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{154, 150, 138}, {154, 150, 138}, {154, 150, 138}, {154, 150, 138}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{153, 149, 137}, {154, 150, 138}, {154, 150, 138}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{154, 150, 138}, {154, 150, 138}, {155, 151, 139}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}}}, {{0, 8}, {8, 0}}, {0, 255},
ColorFunction->RGBColor],
BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
Selectable->False],
BaseStyle->"ImageGraphics",
ImageSize->Magnification[1],
ImageSizeRaw->{8, 8},
PlotRange->{{0, 8}, {0, 8}}]\),CurlyDoubleQuote[Byte]]},<<27>>,{0,ImageData[\!\(\*
GraphicsBox[TagBox[RasterBox[{{{161, 153, 142}, {161, 153, 142}, {160, 152, 141}, {158, 152, 140}, {158, 152, 140}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}}, {{160, 152, 141}, {159, 151, 140}, {158, 152, 140}, {157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{159, 151, 140}, {158, 152, 140}, {157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{158, 152, 140}, {158, 152, 140}, {157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{154, 150, 138}, {154, 150, 138}, {154, 150, 138}, {154, 150, 138}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{153, 149, 137}, {154, 150, 138}, {154, 150, 138}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{154, 150, 138}, {154, 150, 138}, {155, 151, 139}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}}}, {{0, 8}, {8, 0}}, {0, 255},
ColorFunction->RGBColor],
BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
Selectable->False],
BaseStyle->"ImageGraphics",
ImageSize->Magnification[1],
ImageSizeRaw->{8, 8},
PlotRange->{{0, 8}, {0, 8}}]\),CurlyDoubleQuote[Byte]]},{0,ImageData[\!\(\*
GraphicsBox[TagBox[RasterBox[{{{161, 153, 142}, {161, 153, 142}, {160, 152, 141}, {158, 152, 140}, {158, 152, 140}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}}, {{160, 152, 141}, {159, 151, 140}, {158, 152, 140}, {157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{159, 151, 140}, {158, 152, 140}, {157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{158, 152, 140}, {158, 152, 140}, {157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{157, 151, 139}, {157, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{154, 150, 138}, {154, 150, 138}, {154, 150, 138}, {154, 150, 138}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{153, 149, 137}, {154, 150, 138}, {154, 150, 138}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{154, 150, 138}, {154, 150, 138}, {155, 151, 139}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}}}, {{0, 8}, {8, 0}}, {0, 255},
ColorFunction->RGBColor],
BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
Selectable->False],
BaseStyle->"ImageGraphics",
ImageSize->Magnification[1],
ImageSizeRaw->{8, 8},
PlotRange->{{0, 8}, {0, 8}}]\),CurlyDoubleQuote[Byte]]}} and {0.299,0.587,0.114} have incompatible shapes. >>
Dot::dotsh: Tensors {{ImageData[\!\(\*
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BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
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GraphicsBox[TagBox[RasterBox[{{{155, 151, 139}, {155, 151, 139}, {154, 150, 138}, {154, 150, 138}, {154, 150, 138}, {154, 150, 138}, {155, 151, 139}, {155, 151, 139}}, {{156, 152, 140}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{157, 153, 141}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}, {155, 151, 139}, {155, 151, 139}, {156, 152, 140}, {156, 152, 140}}, {{157, 153, 141}, {157, 153, 141}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}}, {{157, 153, 141}, {157, 153, 141}, {157, 153, 141}, {157, 153, 141}, {156, 152, 140}, {156, 152, 140}, {157, 153, 141}, {157, 153, 141}}, {{159, 155, 143}, {158, 154, 142}, {158, 154, 142}, {158, 154, 142}, {158, 154, 142}, {158, 154, 142}, {159, 155, 143}, {159, 155, 143}}, {{160, 156, 144}, {160, 156, 144}, {160, 156, 144}, {160, 156, 144}, {161, 157, 145}, {161, 157, 145}, {161, 157, 145}, {162, 158, 146}}, {{162, 158, 146}, {162, 158, 146}, {162, 158, 146}, {162, 158, 146}, {162, 158, 146}, {163, 159, 147}, {163, 159, 147}, {164, 160, 148}}}, {{0, 8}, {8, 0}}, {0, 255},
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BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
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BaseStyle->"ImageGraphics",
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PlotRange->{{0, 8}, {0, 8}}]\),CurlyDoubleQuote[Byte]],0},<<27>>,{ImageData[\!\(\*
GraphicsBox[TagBox[RasterBox[{{{155, 151, 139}, {155, 151, 139}, {154, 150, 138}, {154, 150, 138}, {154, 150, 138}, {154, 150, 138}, {155, 151, 139}, {155, 151, 139}}, {{156, 152, 140}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}, {155, 151, 139}}, {{157, 153, 141}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}, {155, 151, 139}, {155, 151, 139}, {156, 152, 140}, {156, 152, 140}}, {{157, 153, 141}, {157, 153, 141}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}, {156, 152, 140}}, {{157, 153, 141}, {157, 153, 141}, {157, 153, 141}, {157, 153, 141}, {156, 152, 140}, {156, 152, 140}, {157, 153, 141}, {157, 153, 141}}, {{159, 155, 143}, {158, 154, 142}, {158, 154, 142}, {158, 154, 142}, {158, 154, 142}, {158, 154, 142}, {159, 155, 143}, {159, 155, 143}}, {{160, 156, 144}, {160, 156, 144}, {160, 156, 144}, {160, 156, 144}, {161, 157, 145}, {161, 157, 145}, {161, 157, 145}, {162, 158, 146}}, {{162, 158, 146}, {162, 158, 146}, {162, 158, 146}, {162, 158, 146}, {162, 158, 146}, {163, 159, 147}, {163, 159, 147}, {164, 160, 148}}}, {{0, 8}, {8, 0}}, {0, 255},
ColorFunction->RGBColor],
BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
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BaseStyle->"ImageGraphics",
ImageSize->Magnification[1],
ImageSizeRaw->{8, 8},
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ColorFunction->RGBColor],
BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
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BaseStyle->"ImageGraphics",
ImageSize->Magnification[1],
ImageSizeRaw->{8, 8},
PlotRange->{{0, 8}, {0, 8}}]\),CurlyDoubleQuote[Byte]],0}} and {0.299,0.587,0.114} have incompatible shapes. >>
General::stop: Further output of Dot::dotsh will be suppressed during this calculation. >>
ImageData::imgdargs: -- Message text not found -- (CurlyDoubleQuote[Byte]) >> обьясни ошибки
|
53875f9171dcb2aa973bde7167991143
|
{
"intermediate": 0.3867596983909607,
"beginner": 0.3489093780517578,
"expert": 0.2643308937549591
}
|
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