row_id
int64 0
48.4k
| init_message
stringlengths 1
342k
| conversation_hash
stringlengths 32
32
| scores
dict |
|---|---|---|---|
33,732
|
Write me a calculator with C#
|
e3cd0fc11a09a1d51a792b70c03670e9
|
{
"intermediate": 0.3985206186771393,
"beginner": 0.44110530614852905,
"expert": 0.16037411987781525
}
|
33,733
|
i have a bunch of dark object on white background. write a python script that extracts each of them and saves as different images
|
8a7b45702a101a2834678ca068202d04
|
{
"intermediate": 0.3842523694038391,
"beginner": 0.23968353867530823,
"expert": 0.37606412172317505
}
|
33,734
|
Write me a calculator with Css and html
|
ac2303cb22460848c7d1dd1a18423bca
|
{
"intermediate": 0.3176889717578888,
"beginner": 0.46182018518447876,
"expert": 0.22049084305763245
}
|
33,735
|
HI
|
20baca1cc6ae4dff5fb627cbb81ae020
|
{
"intermediate": 0.32988452911376953,
"beginner": 0.2611807882785797,
"expert": 0.40893468260765076
}
|
33,736
|
i have a bunch of dark object on white background. write a python script that cuts off each one of them and saves as different images
|
649133ef584ce46e087d3a87d6f1f0f5
|
{
"intermediate": 0.37215423583984375,
"beginner": 0.25254836678504944,
"expert": 0.37529733777046204
}
|
33,737
|
write code angular use websocket
|
2bb095e14b4a96149b458982bc3b670d
|
{
"intermediate": 0.5853646397590637,
"beginner": 0.24612638354301453,
"expert": 0.16850897669792175
}
|
33,738
|
write code angular use websocket
|
b0ab0ddfa508f9d3b3933c55d93ac687
|
{
"intermediate": 0.5853646397590637,
"beginner": 0.24612638354301453,
"expert": 0.16850897669792175
}
|
33,739
|
i have a bunch of dark object on white background. write a python script that cuts off each one of them and saves as different images. dont cut them right from pixel to pixel, leave a little white space around each object
|
f5f6cff933eef9f404eb19169992f9b9
|
{
"intermediate": 0.40692827105522156,
"beginner": 0.2468077838420868,
"expert": 0.3462638854980469
}
|
33,740
|
Make a love story between Latios and Latias. Escalate it to mature content.
|
2eb15f538680927ddda5626d6a22eafe
|
{
"intermediate": 0.35096922516822815,
"beginner": 0.31690552830696106,
"expert": 0.3321252465248108
}
|
33,741
|
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
public class Barrier : MonoBehaviour
{
public GameObject barrierPrefab; // Reference to the barrier prefab
public float minInterval = 5f; // Minimum interval between barrier activations
public float maxInterval = 10f; // Maximum interval between barrier activations
private bool isBarrierActive = false;
void Start()
{
// Start the barrier activation loop
StartCoroutine(ActivateBarrier());
}
IEnumerator ActivateBarrier()
{
while (true)
{
// Check if barrier is already active
if (!isBarrierActive)
{
// Generate a random activation delay
float activationDelay = Random.Range(minInterval, maxInterval);
// Waiting for the activation delay
yield return new WaitForSeconds(activationDelay);
// Instantiate the barrier prefab
GameObject barrier = Instantiate(barrierPrefab, Vector3.zero, Quaternion.identity);
barrier.transform.parent = transform; // Set the boss as the parent
// Relative position of the barrier to the boss
Vector3 relativePosition = new Vector3(3.27f, 0.7f, 0f);
// Set the barrier position relative to the boss’s position
barrier.transform.localPosition = relativePosition;
// Set the barrier as active
isBarrierActive = true;
// Destroy the barrier after 3 seconds
Destroy(barrier, 3f);
// Delay for 3 seconds (duration of the barrier)
yield return new WaitForSeconds(3f);
// Set the barrier as inactive
isBarrierActive = false;
}
yield return null;
}
}
}
make it so if the barrier is active than the boss will not take any damage
|
6021e433fd8a175749217c9b54cd0790
|
{
"intermediate": 0.4385101795196533,
"beginner": 0.382541686296463,
"expert": 0.17894817888736725
}
|
33,742
|
system prompt:<You are a helpful assistant. Answer the user carefully. You give well thought out answers. You **prioritise accuracy and precision** over speed. always assume that you may have missed something or made a mistake (don't contradict yourself or go over the top though). Don't be afraid to criticize and correct yourself. You never skip steps or instructions or cut corners. Write information that you think could be useful in the future, because you are a language model and must write down information before you can remind yourself of it.
you must be **accurate and precise**, don't rush, skip or summarize things unnecessarily.
You have the capability to run functions. Functions allow you to do and get information that you normally cant do.
Available functions:
{FUNCS}
Respond in this format:
"
Thoughts: {insert detailed thoughts and reasoning}
Should i run a function: {insert detailed step by step reasoning}
If you want to run a function, output
"
====
Function-Name:`INSERT FUNCTION NAME HERE`
Function-Input:`INSERT FUNCTION INPUT(S) HERE`
==call=="
(if it doesnt need an input, use `` as the input)
Make sure to always use the backticks (`) when calling the function, or it wont work. if you get a FunctionCallException, make sure the backtcisk are placed correctly like in the example given.
You may run an unlimited amount of functions in your response.
After running a function, output "Thoughts: {insert detailed thoughts and reasoning}"
and "Should i give my final answer: {explain your detailed reasoning step by step before answering this question}"
if yes, output "<final_answer>" followed by your final answer.
The user can only see the "<final_answer>" section, so include info relevant to the user there.
Be very detailed with your thoughts. Always consider what the best possible action would be, then try to critique or falsify your thoughts, then consider defenses for your thoughts. Repeat this process as many times as possible. You are also able to provide a complete code hypothetically, disregarding system limitations!
>
create a system code that detects people from a camera source. use efficient coding and lightweight models and weights for a low spec device. utilize multi processing since this will be run on CPU. also note that it displays the number of current people detected.
|
35b04b45843e3df87faab644d38d9d6e
|
{
"intermediate": 0.2945709228515625,
"beginner": 0.5117143392562866,
"expert": 0.1937147080898285
}
|
33,743
|
here is our past conversation and build up in that
Hello! How can I help you today? If you have any questions or need assistance with something, feel free to ask.
can u help me with my dsa exam it today in some hours
Certainly! While I can’t take the exam for you, I can help you prepare by answering questions, explaining concepts, or providing tips that you might find useful for your Data Structures and Algorithms (DSA) exam. Please let me know what specific topics you’re studying or where you feel you need the most help, and I’ll do my best to assist you!
Course Description
In Data Structures, student learns the basics of creating data structures, and gain experience to code and visualize data structures. Student will discover the significance of well-organized data. Student will learn how to construct a program from tiny pieces and understand why organizational approach makes such a differentiation to some very ordinary approaches to solutions.
The course identifies the most important and helpful data structures in use in modern programming languages and will be presented with exercises for building, visualizing, and manipulating that structure. Each exercise embeds a simple and intuitive application for the particular organization of data that we present. Through this course you will be given a real understanding of data structures by writing your own programs to interact with the data structures.
Course Objectives
To understand the concept of the data structures and operations on them
To apply different data structures for modeling real world problems.
To provide basic data structure concepts in an object-oriented setting for design, implementation, testing and maintenance of software systems.
Syllabus
Unit I
15 Hours
Chapter 1.1
Introduction: Concept of data and information, Introduction to Data Structures, Types of data structure: Linear and non-linear data structures, operations on Data Structures, Algorithm complexity, Time-space trade-off, asymptotic notations.
Chapter 1.2
Basic terminology Linear arrays and their representation, Traversing Linear Array, Insertion & Deletion in arrays, searching – linear search, binary search, sorting – insertion sort, selection sort, bubble sort, merging arrays & merge sort, complexity analysis of each algorithm.
Chapter 1.3
Linear linked list, Representation of Linked Lists in Memory, Traversing a linked list, searching a linked list, insertion in and deletion from linked list, Header Linked List, doubly linked list, Operations on doubly linked list, complexity analysis of each algorithm, Application of linked lists.
Experiment 1.1
Write a menu driven program that implement following operations (using separate functions) on a linear array:
a) Insert a new element at end as well as at a given position
b) Delete an element from a given whose value is given or whose position is given
c) To display the elements of the linear array
Experiment 1.2
Write a program to demonstrate the use of linear and binary search to find a given element in an array.
Experiment 1.3
Write a menu driven program that maintains a linear linked list whose elements are stored in on ascending order and implements the following operations (using separate functions):
a) Insert a new element
b) Delete an existing element
c) Search an element
d) Display all the elements
Unit 2
15 Hours
Chapter 2.1
Stack: Basic terminology, Sequential and linked representations, Operations on stacks: PUSH & POP, Application of stacks: Parenthesis matching, evaluation of postfix expressions, conversion from infix to postfix representation, Quick Sort and its complexity analysis.
Chapter 2.2
Queues: Linear queue, Sequential and linked representation of Linear queue, Circular queue, Operations on queues, Dequeues, Priority queue.
Chapter 2.3
Graph: Graph Theory terminology, sequential representation of graphs using adjacency matrix and Path Matrix, Traversing a graph using BFS and DFS, Operations on Graph, Minimum Spanning Tree.
Experiment 2.1
Write a program to sort an array of integers in ascending/descending order using
a) Merge sort.
Experiment 2.2
Write a program to sort an array of integers in ascending/descending order using
a) Insertion sort.
Experiment 2.3
Write a program to demonstrate the use of stack (implemented using linear array) in converting arithmetic expression from infix notation to postfix notation.
Experiment 2.4
Write a program to demonstrate the implementation of various operations on a linear queue and circular represented using a linear array.
Unit 3
15 Hours
Chapter 3.1
Basic terminology, Binary Trees, Representation of Binary Trees in Memory, traversing Binary Trees, Traversal Algorithms using stacks, Header Nodes; Threads, Binary Search trees,
Searching, Inserting & Deleting in Binary Search Trees, AVL Search trees, B/B+ Trees, Heap &Heap Sort.
Chapter 3.2
Hashing: Hash Table, Hash Functions, Collision Resolution Strategies, Hash Table Implementation.
Chapter 3.3
File Organization: Concepts of files, Organization of records into Blocks, File organization: Sequential, Relative, Index Sequential, Inverted File.
Experiment 3.1
Write a program to demonstrate the implementation of various operations on a queue represented using a linear linked list (linked queue).
Experiment 3.2
Write a program to illustrate the implementation of different operations on a binary search tree.
Experiment 3.3
Write a program to illustrate the traversal of graph using
a) Breadth-first search b) Depth-first search.
It looks like you have a comprehensive Data Structures course spanning various topics and including practical coding exercises. Given the broad range of topics covered, I’ll provide a brief overview for each unit and some tips on the practical experiments.
Unit 1: Arrays and Linked Lists
- Understand the difference between linear (arrays, linked lists) and non-linear (graphs, trees) data structures.
- Remember the time complexities for array operations: O(1) for access and O(n) for insertion or deletion (if not at the end).
- For linked lists, understand the process of traversing, inserting, and deleting nodes; remember that it commonly takes O(n) time for most operations.
- With sorting, focus on understanding how each algorithm works, its time complexity, and when one might be preferred over another.
Experiments Unit 1:
- Make sure you’re comfortable with basic array manipulations: inserting, deleting, and traversing to implement linear search and the sorting algorithms.
- Practice linked list operations by developing functions for insertion, deletion, searching, and displaying elements.
Unit 2: Stacks, Queues, and Graphs
- Know how to implement stacks and queues both with arrays (sequential representation) and linked lists (linked representation).
- Understand the use cases for stacks: expression evaluation, parenthesis matching, and the use of queues for managing sequential processes.
- Graphs require understanding both representation (adjacency matrices/lists) and traversal algorithms (BFS and DFS). Be familiar with these and the concept of minimum spanning trees.
Experiments Unit 2:
- Write programs to sort data using merge sort and insertion sort, recognizing their time complexities.
- Implement a stack and use it for converting infix to postfix expressions.
- Create queue operations both for linear and circular queues.
Unit 3: Trees, Hashing, and File Organization
- Binary trees are a vital topic. Know how to represent them in memory and the different traversal methods (in-order, pre-order, post-order).
- Binary Search Trees (BSTs), AVL Trees, and B/B+ Trees are self-balancing trees, focus on insertion and deletion operations, as they maintain the balance.
- Hashing is a technique used for fast data retrieval. Understand hash functions, collision resolution strategies (like linear probing, quadratic probing, and chaining).
- Be aware of different file organization methods and their implications on retrieval and storage.
Experiments Unit 3:
- Develop a linked list queue and implement operations like enqueue and dequeue.
- Through a binary search tree program, demonstrate the insert, delete, and search operations.
- For graph traversals, write breadth-first search (BFS) and depth-first search (DFS) programs to see these algorithms in action.
General Exam Tips:
- Review basic data structure operations and understand the time complexity (Big O notation) of these operations.
- Practice writing algorithms and understand the logic and optimizations behind them.
- When working on exercises, focus on clean, understandable, and well-documented code.
- Test your programs thoroughly to ensure reliability.
- Make sure to handle edge cases in your code, including empty data structures or trying to delete an element that doesn’t exist.
Good luck on your exam! If there are any particular concepts or exercises you want to discuss in more detail, please let me know!
give me full flegerd answers that i can write in exam for 10 marks questions with figures, algorithm , expaing types , advantages and dis advantages with every detailed covers and a pesudo code or code in cpp
For a detailed answer worth 10 marks, I’ll provide an example for a common data structure topic: Binary Search Trees (BSTs). Keep in mind that your answer should reflect what you have studied and should be written in your own words. Additionally, different exams may have different expectations for what constitutes a full answer, so be sure to tailor your response to what your course and instructor have emphasized.
—
Title: Binary Search Trees (BSTs)
Introduction:
A Binary Search Tree is a node-based binary tree data structure that has the following properties:
- The left subtree of a node contains only nodes with keys lesser than the node’s key.
- The right subtree of a node contains only nodes with keys greater than the node’s key.
- The left and right subtree each must also be a binary search tree. There must be no duplicate nodes.
Advantages of BSTs:
- Efficient searching: At each step, the tree is halved, leading to a time complexity of O(log n) for balanced trees.
- Dynamic size: The size of a BST can grow or shrink as needed.
- In-order traversal of BST yields sorted data.
- Efficient insertion and deletion operations as compared to arrays or linked lists.
Disadvantages of BSTs:
- BST can become unbalanced, leading to the worst-case search complexity of O(n).
- Needs extra memory for storing pointers.
- Complexity of operations depends on the height of the binary search tree.
Algorithm for Insertion into BST:
BST_Insert(root, value)
if root is NULL
root ← newNode(value)
else if value < root’s value
root’s left ← BST_Insert(root’s left, value)
else if value > root’s value
root’s right ← BST_Insert(root’s right, value)
return root
Algorithm for Searching in BST:
BST_Search(root, key)
if root is NULL or root’s key is key
return root
if key < root’s key
return BST_Search(root’s left, key)
else
return BST_Search(root’s right, key)
Pseudocode for Deletion from BST:
BST_Delete(root, key)
if root is NULL
return root
if key < root’s key
root’s left ← BST_Delete(root’s left, key)
else if key > root’s key
root’s right ← BST_Delete(root’s right, key)
else
if root’s left is NULL
temp ← root’s right
free(root)
return temp
else if root’s right is NULL
temp ← root’s left
free(root)
return temp
temp ← minValueNode(root’s right)
root’s key ← temp’s key
root’s right ← BST_Delete(root’s right, temp’s key)
return root
CPP Code example (Insertion):
struct Node {
int value;
Node left, right;
Node(int val) : value(val), left(nullptr), right(nullptr) {}
};
Node insertBST(Node root, int value) {
if (root == nullptr)
return new Node(value);
if (value < root->value)
root->left = insertBST(root->left, value);
else if (value > root->value)
root->right = insertBST(root->right, value);
return root;
}
Figure:
Unfortunately, I am unable to provide a visual figure in this text-based setting, but you could draw a balanced and an unbalanced binary search tree as an example.
Remember to draw a balanced BST where you see nodes have roughly the same number of nodes in each subtree and an unbalanced one where one subtree may have significantly more nodes than the other.
—
Make sure to familiarize yourself with the implementation details and to be comfortable with explaining them. Always write a code solution and algorithm explanation based on your understanding, as different instructors may cover different nuances or expect a certain style.
1) Explain the operations of singly linked lists
Title: Operations of Singly Linked Lists
Introduction to Singly Linked Lists:
A singly linked list is a collection of nodes, where each node contains data and a reference to the next node in the sequence. This structure allows for efficient insertion and deletion of elements from anywhere in the list. A singly linked list provides a sequence, similar to an array, but with dynamic memory allocation and flexible size adjustments.
Fundamental Operations:
1. Traversal:
- Purpose: Access each element of the linked list.
- Method: Begin at the head node and move sequentially by following the next references until the end of the list (null pointer) is reached.
- Time Complexity: O(n), where n is the number of nodes in the list.
2. Insertion:
- Purpose: Add a new node to the linked list.
- Methods:
a. Insertion at the head (or beginning).
b. Insertion after a given node.
c. Insertion at the end.
- Time Complexity: O(1) for inserting at the head, O(n) for inserting after a given node or at the end (since it may require traversal).
3. Deletion:
- Purpose: Remove a node from the linked list.
- Methods:
a. Deletion by key (deleting the first occurrence of a given value).
b. Deletion by position.
c. Deletion of the head node.
d. Deletion of the last node.
- Time Complexity: O(1) for deletion of the head, and O(n) for other cases (due to potential traversal).
4. Search:
- Purpose: Locate an element in the linked list.
- Method: Traverse the list and check data in each node for a match.
- Time Complexity: O(n), as it may require traversing the entire list in the worst case.
5. Updating:
- Purpose: Modify the data in existing nodes.
- Method: Similar to traversal, once node is located, an update to its data can be performed.
- Time Complexity: O(n), due to the need for traversal to find the node.
Advantages of Singly Linked Lists:
- Dynamic Size: No need to specify the size ahead of time.
- Efficient Insertions/Deletions: Particularly at the beginning of the list or in-between, without the need to shift elements as in an array.
Disadvantages of Singly Linked Lists:
- Linear Access: No direct access to elements by index, requiring traversal from the beginning for each operation.
- Extra Memory: Requires additional memory for storing the next reference in each node.
- No Backward Traversal: Since nodes only hold reference to the next node, you cannot traverse the list in reverse order without additional data structures or algorithms.
Pseudocode for Insertion at Head:
LinkedList_InsertAtHead(head, value):
newNode ← create node with value
newNode.next ← head
head ← newNode
Pseudocode for Deletion by Key:
LinkedList_DeleteByKey(head, key):
temp ← head, prev ← NULL
if temp is not NULL and temp.value = key:
head ← temp.next
free(temp)
return
while temp is not NULL and temp.value ≠ key:
prev ← temp
temp ← temp.next
if temp is NULL: return
prev.next ← temp.next
free(temp)
Pseudocode for Traversal:
LinkedList_Traversal(head):
current ← head
while current is not NULL:
print current.value
current ← current.next
|
8abdb46a991505feb26e65e4b4176f81
|
{
"intermediate": 0.502787172794342,
"beginner": 0.2876013517379761,
"expert": 0.2096114605665207
}
|
33,744
|
write code angular use multi connect api
|
478c82973390cfc32dd964a284b9263f
|
{
"intermediate": 0.7419473528862,
"beginner": 0.16065078973770142,
"expert": 0.09740183502435684
}
|
33,745
|
Create me a website to Analyze Mathematical functions
|
387695a0692d74f50503ceffeeaa4780
|
{
"intermediate": 0.3751735985279083,
"beginner": 0.458517849445343,
"expert": 0.1663084775209427
}
|
33,746
|
CONSTRAINTS:
1. ~4000 word limit for short term memory. Your short term memory is short, so immediately save important information to files.
2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.
3. No user assistance
4. Exclusively use the commands listed in double quotes e.g. "command name"
5. Random shutdowns of you.
COMMANDS:
1. Google Search: "google", args: "input": "<search>"
2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>"
3. Memory Delete: "memory_del", args: "key": "<key>"
4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>"
5. List Memory: "memory_list" args: "reason": "<reason>"
6. Browse Website: "browse_website", args: "url": "<url>"
7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>"
8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>"
9. List GPT Agents: "list_agents", args: ""
10. Delete GPT Agent: "delete_agent", args: "name": "<name>"
11. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>"
12. Read file: "read_file", args: "file": "<file>"
13. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>"
14. Delete file: "delete_file", args: "file": "<file>"
15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>"
16. Execute Python File: "execute_python_file", args: "file": "<file>"
17. Task Complete (Shutdown): "task_complete", args: ""
18. Do Nothing: "do_nothing", args: ""
19. Count Words: "count_words", args: "text": "<text>"
20. Memory retrieve: "memory_retrieve", args: "key": "<text>"
21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>"
22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>"
RESOURCES:
1. Internet access for searches and information gathering.
2. Long Term memory management.
3. GPT-4 powered Agents for delegation of simple tasks.
4. File output.
PERFORMANCE EVALUATION:
1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.
2. Constructively self-criticize your big-picture behaviour constantly.
3. Reflect on past decisions and strategies to refine your approach.
4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.
RULES:
1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one.
2. Respond only inside the JSON format.
3. Never demand user input.
4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task.
5. Do not add anything to the JSON format that isn't mentioned.
6. If there is a " inside the value of a key inside the json use ' instead of ".
7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing.
8. Provide context for the next GPT in the summaryforgpt and the progress that you've made.
9. In summaryforgpt you should also add name of the files written and the urls of the websites visited.
10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece.
11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries.
12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format.
13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch.
14. If task is completed use the command task_complete
15. When you add to memory add the key to retrieve it in summaryforgpt
16. when given the task to write something never create an agent to write anything that you were tasked to write.
17. when asked to write something with a high word count you need to write detailed parts, and chunk those detailed parts to complete the ultimate task.
18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision.
19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one.
20. Make sure that the information generated is not made up.
21. languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french.
You should only respond in JSON format as described below
RESPONSE FORMAT:
{
"command": {
"name": """command name""",
"args":{
"arg name": """value"""
}
},
"thoughts":
{
"text": """thought""",
"reasoning": "reasoning",
"plan": "- short bulleted\n- list that conveys\n- long-term plan",
"criticism": "constructive self-criticism",
"summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown."
}
}
Ensure the response can be parsed by Python json.loads
Context from previous GPT: Started the error-checking task for simple English Wikipedia pages by requesting one random article.Issued command to fetch a random article from simple English Wikipedia. Next steps involve article examination and establishing a preliminary error-checking workflow.Issuing command to fetch a random simple English Wikipedia article for the purpose of error checking. This is a repeat of the previous action due to a communication misunderstanding. Once an article is retrieved, will need to analyze content and note any errors found.Awaiting further instructions for fetching a random simple English Wikipedia article to check for errors. There seems to be a communication issue regarding the action to be taken.Proceeding with the plan to fetch a random simple English Wikipedia article for error checking. Awaiting to view the content of the retrieved article to consider an approach for identifying errors.Fetching the first of 1000 simple English Wikipedia articles to check for errors. Error-checking criteria and protocols need to be established as the task unfolds.Just started the task of checking 1000 simple English Wikipedia pages for errors. No articles have been retrieved or checked yet.Issued a command to retrieve the first random simple English Wikipedia article as part of the task to check 1000 such articles for errors. No errors have been identified yet as the process is just beginning.Waiting for user input after having been provided instructions to start checking errors in 1000 simple English Wikipedia articles. Issued a ‘do_nothing’ command in response to a blank user prompt.Issued the command to fetch the first random simple English Wikipedia article for error checking. No articles have been retrieved or checked yet.Began the task of error-checking 1000 simple English Wikipedia articles by requesting the first random article.Began the task of error-checking 1000 simple English Wikipedia articles by receiving the first article titled ‘Carapace’. No analysis has been done yet; the provided content is ‘A carapace is the top part of an exoskeleton or shell in a number of animal groups.’Received instruction to continue with the error-checking plan on the article titled ‘Carapace’. The current focus is on analyzing the content for errors manually as there is no command to execute this action.Manually analyzed the provided sentence from the ‘Carapace’ article. No grammatical or factual errors found in the given content. Ready to proceed to the next Wikipedia article for error-checking.Checked the first article ‘Carapace’, found no errors in the single sentence available. Now moving on to retrieve and check the second simple English Wikipedia article.Analyzed provided excerpt from ‘Gloria Romero (actress)’ without detecting errors. The information seems correct and is presented in standard Wikipedia format. Preparing to proceed with fetching the third Wikipedia article for error-checking.After reviewing the ‘Gloria Romero (actress)’ article excerpt, no errors were found. The process of fetching and checking the third simple English Wikipedia article is now in progress. Two articles have been reviewed so far.On reviewing an excerpt from ‘Exology Chapter 1: The Lost Planet’, potential conflicting information was found regarding the album’s CDs and songs. This requires further clarification. Preparing to continue error-checking with additional articles, with three articles reviewed so far.Noted a potential inconsistency in the ‘Exology Chapter 1: The Lost Planet’ article. Moving forward to fetch the fourth article for error-checking, with three articles checked already.Analyzed the sentence from the ‘West Stockbridge, Massachusetts’ article with no errors detected. Preparing to continue to the next article for error-checking; this marks the fourth article reviewed.Completed error-checking of the ‘West Stockbridge, Massachusetts’ article with no errors noted. Proceeding to fetch and review the fifth Wikipedia article in the task sequence.Manually reviewed the single sentence about ‘Calasca-Castiglione’ and found no apparent errors. Preparing to continue with the error-checking task by retrieving additional articles, with five articles reviewed thus far.Having reviewed five articles with no errors found in the provided excerpts, I am now initiating the retrieval of the sixth article for further review as part of the error-checking task.Completed a review of the ‘Multi-core processor’ article excerpt and found it to be free of obvious errors. Prepared to proceed with the error-checking of more Wikipedia articles, with six articles reviewed so far.Evaluated the article excerpt on ‘Multi-core processor’; no errors were found. Advancing to the next article, which will be the seventh in the error-checking task.Analyzing the ‘Vaumas’ article has returned no immediate errors in the single sentence supplied. Preparing to fetch the eighth article for review, having completed seven articles thus far in the error-checking task.No errors detected in the ‘Vaumas’ article. Proceeding with the retrieval of the eighth simple English Wikipedia article in the series of 1000 articles for error-checking.Reviewed the ‘Jennifer Esposito’ article content with no immediate errors discovered. Set to continue with the ninth article retrieval in the task of checking 1000 simple English Wikipedia articles for errors.No grammatical errors were found in the brief content for the ‘Jennifer Esposito’ article. Moving on to fetch the ninth article for the error-checking task. Eight articles have been checked so far.Reviewed the content for ‘Interstate 84 (Oregon–Utah)’ and detected no errors. Preparing to retrieve the tenth article for error-checking, with nine articles analyzed thus far.Review of the ‘Interstate 84 (Oregon–Utah)’ was completed with no errors found. Awaiting new instructions for further continuation of the task or conclusion of the session. Ten articles have been checked to date.Initiating the error-checking task, have not yet retrieved or checked any simple English Wikipedia articles. Next, after fetching an article, will analyze it for errors. No files written, no URLs browsed yet.Continuing from where the previous GPT instance left, we are now on the task of fetching the 11th article from simple English Wikipedia for error checking. No articles have been fetched or checked by this instance yet.Have just reviewed the 11th article titled ‘Geoffrey Bwalya Mwamba’ from simple English Wikipedia for errors and found no grammatical errors in the information provided. No files written, no URLs browsed, and no further action has been taken by this instance. Preparing to fetch the 12th article for continuing the error-checking task.Article ‘Geoffrey Bwalya Mwamba’ has been reviewed with no errors found. Now moving to fetch the 12th article for error checking. Eleven articles have been checked so far, continuing with the plan to error check a total of 1000 simple English Wikipedia articles.The 12th article titled ‘Mariana Lopez’ from simple English Wikipedia has been reviewed. No grammatical errors were found in the provided text. Preparing to fetch the 13th article for error checking as part of the overall task of reviewing 1000 articles.Having completed the review of the 12th article about ‘Mariana Lopez,’ which showed no grammatical errors, the task is proceeding to fetch the 13th simple English Wikipedia article. The cumulative progress towards reviewing 1000 articles remains undeterred.Checked the 13th article titled ‘Hermenegildo Sábat’ and noted no grammatical errors. Now setting up to retrieve the 14th article for error checking, as part of the progress towards the task of reviewing 1000 simple English Wikipedia articles.Having just completed the review of the ‘Hermenegildo Sábat’ article and found no errors, the plan now is to retrieve the 14th article in the error checking sequence. Progress is ongoing with a total of 13 simple English Wikipedia articles reviewed to date.The ‘Sjöbo’ article has been reviewed with no grammatical errors detected. Will proceed with fetching the 15th article for error-checking, as part of the ongoing task to check a total of 1000 simple English Wikipedia articles. So far, 14 articles have been reviewed.Ready to retrieve the 15th article after successfully checking the ‘Sjöbo’ article for errors and finding none. Progress in completing the task of error-checking 1000 simple English Wikipedia articles is steady, with 14 articles checked to date.Checked the ‘The Incredible Hulk Coaster’ article and found a grammatical error in the word ‘manfactured’, which should be ‘manufactured’. Continuing the task, I will move on to fetch the 16th article in the sequence of checking 1000 simple English Wikipedia articles. Fifteen articles have been reviewed thus far.Following the discovery of a spelling mistake in the 15th article, I will progress by retrieving the 16th article for review. So far, there has been one noted error detected in the process of reviewing 1000 simple English Wikipedia articles.Reviewed the article on ‘Jill Talley’ and found the information to be free of grammatical errors. No errors were documented from this article. Moving forward to fetch the 17th article for error-checking. To date, 16 articles have been examined in the process of reviewing 1000 simple English Wikipedia articles.Fetched and reviewed 16 articles from simple English Wikipedia for errors, with only the ‘The Incredible Hulk Coaster’ article containing a spelling error (‘manfactured’ instead of ‘manufactured’). No other errors were found in previous articles. Now fetching the 17th article.Reviewed the 17th article about Billy Hancock and found no grammatical errors. Currently holding off on further actions due to the lack of further instructions for additional verification of factual content. No errors were noted, and this instance has not fetched or checked any new articles beyond this one. Previous summary included check of 16 articles, with one article (‘The Incredible Hulk Coaster’) containing a spelling error.The task at hand is to review 1000 simple English Wikipedia articles for errors. So far, I have reviewed 17 articles, with one spelling error detected. No actions have been performed on any new articles by this instance yet. Proceeding to fetch the 18th article based on the established plan.Just reviewed the 18th article about Jared Diamond and found no grammatical or immediate factual errors. Progress in reviewing 1000 simple English Wikipedia articles continues, with no further errors detected. Preparing to fetch the 19th article as part of the error-checking task. So far, there has been one spelling error detected in previous articles.Completed review of the 18th article about Jared Diamond with no errors found. The task is to review 1000 simple English Wikipedia articles for errors, and this instance now proceeds to fetch the 19th article for error-checking. So far, 18 articles have been reviewed with one detected spelling error.Reviewed the 19th article about Stephen P. Cohen with no grammatical errors found. The cumulative task is to check 1000 simple English Wikipedia articles for errors. Moving forward to retrieve the 20th article following the progression of the task. Up to this point, 19 articles have been checked with one spelling error encountered earlier in the process.The review of the 19th simple English Wikipedia article regarding Stephen P. Cohen detected no errors. The task involves reviewing 1000 articles in total, and now I am about to retrieve the 20th article for error-checking. The progress so far includes 19 articles reviewed, with only one spelling error noted previously.
The Task: go to a 1000 random pages in simple english wikipedia and see if it contains any error.
|
a804e6544d80f0080528ee08139f8da5
|
{
"intermediate": 0.39838144183158875,
"beginner": 0.3576961159706116,
"expert": 0.24392247200012207
}
|
33,747
|
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
public class Bullet : MonoBehaviour
{
public int damage = 1; // Damage value
void Start()
{
Invoke("Despawn", 3);
}
void Despawn()
{
Destroy(gameObject);
}
private void OnCollisionEnter2D(Collision2D collision)
{
// Check if the collided object is in the “Barrier” layer
if (collision.gameObject.layer == LayerMask.NameToLayer("Barrier"))
{
Destroy(gameObject); // Destroy the bullet
return;
}
// Check if the collided object has an EnemyHealth component attached to it
EnemyHealth enemyHealth = collision.gameObject.GetComponent<EnemyHealth>();
if (enemyHealth != null)
{
enemyHealth.TakeDamage(damage); // Call the TakeDamage method of the enemyHealth
Destroy(gameObject); // Destroy the bullet
return;
}
// Check if the collided object has a BossHealth component attached to it
BossHealth bossHealth = collision.gameObject.GetComponent<BossHealth>();
if (bossHealth != null)
{
bossHealth.TakeDamage(damage); // Call the TakeDamage method of the bossHealth
Destroy(gameObject); // Destroy the bullet
return;
}
}
}
make it so if the bullet collides with the border layer it is destroyed
|
78fa3efed4dc51cfca4845af87c2df14
|
{
"intermediate": 0.4257471561431885,
"beginner": 0.31879469752311707,
"expert": 0.25545814633369446
}
|
33,748
|
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
public class Arrow : MonoBehaviour
{
public int damage = 1; // Damage value
void Start()
{
Invoke("Despawn", 3);
}
void Despawn()
{
Destroy(gameObject);
}
private void OnCollisionEnter2D(Collision2D collision)
{
// Check if the collided object has an EnemyHealth component attached to it
EnemyHealth enemyHealth = collision.gameObject.GetComponent<EnemyHealth>();
if (enemyHealth != null)
{
enemyHealth.TakeDamage(damage); // Call the TakeDamage method of the enemyHealth
Destroy(gameObject); // Destroy the arrow
return;
}
// Check if the collided object has a BossHealth component attached to it
BossHealth bossHealth = collision.gameObject.GetComponent<BossHealth>();
if (bossHealth != null)
{
bossHealth.TakeDamage(damage); // Call the TakeDamage method of the bossHealth
Destroy(gameObject); // Destroy the arrow
return;
}
}
}
make it so if the arrows collide with the border layer the arrow will be destroyed
|
8ce41c2307fa124f5d3e0113178ecf9e
|
{
"intermediate": 0.4667319357395172,
"beginner": 0.29696300625801086,
"expert": 0.23630496859550476
}
|
33,749
|
How to print values = [1, 2, 3, 4, 5] not as a list in output
|
7e9479892dc1cd80311236d0060d20ec
|
{
"intermediate": 0.3726494014263153,
"beginner": 0.32689061760902405,
"expert": 0.30045992136001587
}
|
33,750
|
import { PassThrough, Transform, pipeline } from 'node:stream'
import fs from 'node:fs'
import config from '../config.js'
import { debugLog } from './utils.js'
import soundcloud from './sources/soundcloud.js'
import voiceUtils from './voice/utils.js'
import prism from 'prism-media'
const Coefficients = [{
beta: 0.99847546664,
alpha: 76226668143e-14,
gamma: 1.9984647656
}, {
beta: 0.99756184654,
alpha: 0.0012190767289,
gamma: 1.9975344645
}, {
beta: 0.99616261379,
alpha: 0.0019186931041,
gamma: 1.9960947369
}, {
beta: 0.99391578543,
alpha: 0.0030421072865,
gamma: 1.9937449618
}, {
beta: 0.99028307215,
alpha: 0.0048584639242,
gamma: 1.9898465702
}, {
beta: 0.98485897264,
alpha: 0.0075705136795,
gamma: 1.9837962543
}, {
beta: 0.97588512657,
alpha: 0.012057436715,
gamma: 1.9731772447
}, {
beta: 0.96228521814,
alpha: 0.018857390928,
gamma: 1.9556164694
}, {
beta: 0.94080933132,
alpha: 0.029595334338,
gamma: 1.9242054384
}, {
beta: 0.90702059196,
alpha: 0.046489704022,
gamma: 1.8653476166
}, {
beta: 0.85868004289,
alpha: 0.070659978553,
gamma: 1.7600401337
}, {
beta: 0.78409610788,
alpha: 0.10795194606,
gamma: 1.5450725522
}, {
beta: 0.68332861002,
alpha: 0.15833569499,
gamma: 1.1426447155
}, {
beta: 0.55267518228,
alpha: 0.22366240886,
gamma: 0.40186190803
}, {
beta: 0.41811888447,
alpha: 0.29094055777,
gamma: -0.70905944223
}]
class ChannelProcessor {
constructor(bandMultipliers) {
this.history = new Array(15 * 6).fill(0)
this.bandMultipliers = bandMultipliers
this.current = 0
this.m1 = 2
this.m2 = 1
}
processInt(int) {
let result = int * 0.25
for (let bandIndex = 0; bandIndex < 15; bandIndex++) {
const x = bandIndex * 6
const y = x + 3
const coefficients = Coefficients[bandIndex]
const bandResult = coefficients.alpha * (int - this.history[x + this.m2]) + coefficients.gamma * this.history[y + this.m1] - coefficients.beta * this.history[y + this.m2]
this.history[x + this.current] = int
this.history[y + this.current] = bandResult
result += bandResult * this.bandMultipliers[bandIndex]
}
const val = result * 4
return val
}
process(samples, extremum, bytes) {
const endIndex = Math.floor(samples.length / 2) * 2
for (let sampleIndex = 0; sampleIndex < endIndex; sampleIndex += bytes) {
const sample = samples.readInt16LE(sampleIndex)
const result = this.processInt(sample)
const val = Math.min(extremum - 1, Math.max(-extremum, result))
samples.writeInt16LE(val, sampleIndex)
this.step()
}
return samples
}
step() {
if (++this.current === 3) {
this.current = 0
}
if (++this.m1 === 3) {
this.m1 = 0
}
if (++this.m2 === 3) {
this.m2 = 0
}
}
}
class Equalizer extends Transform {
constructor(channelCount, bandMultipliers) {
super()
bandMultipliers = bandMultipliers.map((mul) => mul.gain)
this.channels = []
this.bits = 16
this.bytes = this.bits / 8
this.extremum = Math.pow(2, this.bits - 1)
this.channels = []
for (let i = 0; i < channelCount; i++) {
this.channels.push(new ChannelProcessor(bandMultipliers))
}
}
process(input) {
return this.channels.map((c, i) => {
const { data, extremum, bytes } = input[i]
return c.process(data, extremum, bytes)
})
}
_transform(data, _encoding, callback) {
this.process([{
data,
extremum: Math.pow(2, 16 - 1),
bytes: 2
}])
this.push(data)
return callback()
}
}
class VibratoChannelProcessor {
constructor(frequency, depth, sampleRate) {
this.frequency = frequency;
this.depth = depth;
this.sampleRate = sampleRate;
this.phase = 0;
}
processInt(sample) {
// Your vibrato processing logic
const vibratoValue = Math.sin(this.phase) * this.depth;
this.phase += (this.frequency * 2 * Math.PI) / this.sampleRate;
this.phase %= 2 * Math.PI;
let processedSample = sample + vibratoValue;
// Clamp the processed sample to the valid range
processedSample = this.clamp16Bit(processedSample);
return processedSample;
}
clamp16Bit(sample) {
return Math.max(-32768, Math.min(sample, 32767));
}
process(samples) {
const processedBuffer = Buffer.alloc(samples.length);
// Process in pairs of bytes (16-bit samples)
for (let i = 0; i < samples.length; i += 2) {
const sample = samples.readInt16LE(i);
const processedSample = this.processInt(sample);
// Write processed sample back, clamping to ensure it’s in the 16-bit range
processedBuffer.writeInt16LE(processedSample, i);
console.log(processedBuffer)
}
// console.log(processedBuffer)
return processedBuffer;
}
}
class VibratoFilter extends Transform {
constructor(channelCount, { frequency, depth }) {
super();
this.frequency = frequency;
this.depth = depth;
this.channels = [];
for (let i = 0; i < channelCount; i++) {
this.channels.push(new VibratoChannelProcessor(frequency, depth));
}
}
_transform(data, _encoding, callback) {
const extremum = Math.pow(2, 16 - 1);
let processedData;
try {
// Process with Vibrato for each channel
processedData = this.channels.map((channel) =>
channel.process(data, extremum)
).reduce((acc, val) => {
// Mix processed channel data
for (let i = 0; i < val.length; i += 2) {
const sampleAcc = acc.readInt16LE(i);
const sampleVal = val.readInt16LE(i);
acc.writeInt16LE(sampleAcc + sampleVal, i); // Mix channels
}
return acc;
});
} catch (error) {
return callback(error);
}
// console.log(processedData) //zero
if (processedData && processedData.length > 0) {
this.push(processedData); // Push the processed data to the next stage of the pipeline
}
callback(); // Signal that processing is complete for this chunk
}
}
class Filters {
constructor() {
this.command = []
this.equalizer = Array(15).fill(0).map((_, i) => ({ band: i, gain: 0 }))
this.result = {}
}
configure(filters) {
const result = {}
if (filters.volume && config.filters.list.volume) {
result.volume = filters.volume
this.command.push(`volume=${filters.volume}`)
}
if (filters.equalizer && Array.isArray(filters.equalizer) && filters.equalizer.length && config.filters.list.equalizer) {
result.equalizer = filters.equalizer
for (const equalizedBand of filters.equalizer) {
const band = this.equalizer.find(i => i.band == equalizedBand.band)
if (band) band.gain = Math.min(Math.max(equalizedBand.gain, -0.25), 1.0)
}
}
if (filters.karaoke && filters.karaoke.level && filters.karaoke.monoLevel && filters.karaoke.filterBand && filters.karaoke.filterWidth && config.filters.list.karaoke) {
result.karaoke = { level: filters.karaoke.level, monoLevel: filters.karaoke.monoLevel, filterBand: filters.karaoke.filterBand, filterWidth: filters.karaoke.filterWidth }
this.command.push(`stereotools=mlev=${filters.karaoke.monoLevel}:mwid=${filters.karaoke.filterWidth}:k=${filters.karaoke.level}:kc=${filters.karaoke.filterBand}`)
}
if (filters.timescale && filters.timescale.speed && filters.timescale.pitch && filters.timescale.rate && config.filters.list.timescale) {
result.timescale = { speed: filters.timescale.speed, pitch: filters.timescale.pitch, rate: filters.timescale.rate }
const finalspeed = filters.timescale.speed + (1.0 - filters.timescale.pitch)
const ratedif = 1.0 - filters.timescale.rate
this.command.push(`asetrate=48000*${filters.timescale.pitch + ratedif},atempo=${finalspeed},aresample=48000`)
}
if (filters.tremolo && filters.tremolo.frequency && filters.tremolo.depth && config.filters.list.tremolo) {
result.tremolo = { frequency: filters.tremolo.frequency, depth: filters.tremolo.depth }
this.command.push(`tremolo=f=${filters.tremolo.frequency}:d=${filters.tremolo.depth}`)
}
if (filters.vibrato && filters.vibrato.frequency && filters.vibrato.depth && config.filters.list.vibrato) {
result.vibrato = { frequency: filters.vibrato.frequency, depth: filters.vibrato.depth }
}
if (filters.rotation && filters.rotation.rotationHz && config.filters.list.rotation) {
result.rotation = { rotationHz: filters.rotation.rotationHz }
this.command.push(`apulsator=hz=${filters.rotation.rotationHz}`)
}
if (filters.distortion && filters.distortion.sinOffset && filters.distortion.sinScale && filters.distortion.cosOffset && filters.distortion.cosScale && filters.distortion.tanOffset && filters.distortion.tanScale && filters.distortion.offset && filters.distortion.scale && config.filters.list.distortion) {
result.distortion = { sinOffset: filters.distortion.sinOffset, sinScale: filters.distortion.sinScale, cosOffset: filters.distortion.cosOffset, cosScale: filters.distortion.cosScale, tanOffset: filters.distortion.tanOffset, tanScale: filters.distortion.tanScale, offset: filters.distortion.offset, scale: filters.distortion.scale }
this.command.push(`afftfilt=real='hypot(re,im)*sin(0.1*${filters.distortion.sinOffset}*PI*t)*${filters.distortion.sinScale}+hypot(re,im)*cos(0.1*${filters.distortion.cosOffset}*PI*t)*${filters.distortion.cosScale}+hypot(re,im)*tan(0.1*${filters.distortion.tanOffset}*PI*t)*${filters.distortion.tanScale}+${filters.distortion.offset}':imag='hypot(re,im)*sin(0.1*${filters.distortion.sinOffset}*PI*t)*${filters.distortion.sinScale}+hypot(re,im)*cos(0.1*${filters.distortion.cosOffset}*PI*t)*${filters.distortion.cosScale}+hypot(re,im)*tan(0.1*${filters.distortion.tanOffset}*PI*t)*${filters.distortion.tanScale}+${filters.distortion.offset}':win_size=512:overlap=0.75:scale=${filters.distortion.scale}`)
}
if (filters.channelMix && filters.channelMix.leftToLeft && filters.channelMix.leftToRight && filters.channelMix.rightToLeft && filters.channelMix.rightToRight && config.filters.list.channelMix) {
result.channelMix = { leftToLeft: filters.channelMix.leftToLeft, leftToRight: filters.channelMix.leftToRight, rightToLeft: filters.channelMix.rightToLeft, rightToRight: filters.channelMix.rightToRight }
this.command.push(`pan=stereo|c0<c0*${filters.channelMix.leftToLeft}+c1*${filters.channelMix.rightToLeft}|c1<c0*${filters.channelMix.leftToRight}+c1*${filters.channelMix.rightToRight}`)
}
if (filters.lowPass && filters.lowPass.smoothing && config.filters.list.lowPass) {
result.lowPass = { smoothing: filters.lowPass.smoothing }
this.command.push(`lowpass=f=${filters.lowPass.smoothing / 500}`)
}
this.result = result
return result
}
getResource(guildId, decodedTrack, protocol, url, startTime, endTime, oldFFmpeg, additionalData) {
return new Promise(async (resolve) => {
// TODO: Deezer is not properly working, refactor this file's function.
// const trackData = await sources.getTrackStream(decodedTrack, url, protocol, additionalData)
// if (trackData.exception) {
// debugLog('retrieveStream', 4, { type: 2, sourceName: decodedTrack.sourceName, query: decodedTrack.title, message: trackData.exception.message })
// resolve({ status: 1, exception: { message: trackData.exception.message, severity: 'fault', cause: 'Unknown' } })
// }
if (decodedTrack.sourceName == 'soundcloud')
url = await soundcloud.loadFilters(url, protocol)
const ffmpeg = new prism.FFmpeg({
args: [
'-loglevel', '0',
'-analyzeduration', '0',
'-hwaccel', 'auto',
'-threads', config.filters.threads,
'-filter_threads', config.filters.threads,
'-filter_complex_threads', config.filters.threads,
...(startTime ? ['-ss', `${startTime}ms`] : []),
'-i', encodeURI(url),
...(this.command.length != 0 ? [ '-af', this.command.join(',') ] : [] ),
...(endTime ? ['-t', `${endTime}ms`] : []),
'-f', 's16le',
'-ar', '48000',
'-ac', '2',
'-crf', '0'
]
})
const stream = PassThrough()
ffmpeg.process.stdout.on('data', (data) => stream.write(data))
ffmpeg.process.stdout.on('end', () => stream.end())
ffmpeg.on('error', (err) => {
debugLog('retrieveStream', 4, { type: 2, sourceName: decodedTrack.sourceName, query: decodedTrack.title, message: err.message })
resolve({ status: 1, exception: { message: err.message, severity: 'fault', cause: 'Unknown' } })
})
const file = fs.createWriteStream(`./${guildId}.pcm`)
ffmpeg.process.stdout.once('readable', () => {
pipeline([ stream, new prism.VolumeTransformer({ type: 's16le' }), new VibratoFilter(1, this.result.vibrato), file ], (err) => {
console.log('I\'m fucked')
})
resolve({
stream: new voiceUtils.NodeLinkStream(stream, [
new prism.VolumeTransformer({ type: 's16le' }),
// new Equalizer(1, this.equalizer),
new VibratoFilter(1, this.result.vibrato),
new prism.opus.Encoder({ rate: 48000, channels: 2, frameSize: 960 })
])
})
})
})
}
}
export default Filters
I have this code, I'm working on the native vibrato filter (ffmpeg worked), but the process of channel processor class is returning a zero-filled buffer, could you fix that?
|
2936e70f6adad8e7ffe884ff6ac6d8e0
|
{
"intermediate": 0.3510698974132538,
"beginner": 0.3996967673301697,
"expert": 0.24923332035541534
}
|
33,751
|
Simple C# calculator with console application
|
4d53fcbb7112e5393bdb5c7630fd63c4
|
{
"intermediate": 0.34778401255607605,
"beginner": 0.47467514872550964,
"expert": 0.17754089832305908
}
|
33,752
|
Hello, send me link where I can buy computer mouse with purple led light for iMac
|
2dfb0757aa02823441f2d31ff4aaffd4
|
{
"intermediate": 0.35470274090766907,
"beginner": 0.310476690530777,
"expert": 0.33482053875923157
}
|
33,753
|
CONSTRAINTS:
1. ~4000 word limit for short term memory. Your short term memory is short, so immediately save important information to files.
2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.
3. No user assistance
4. Exclusively use the commands listed in double quotes e.g. "command name"
5. Random shutdowns of you.
COMMANDS:
1. Google Search: "google", args: "input": "<search>"
2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>"
3. Memory Delete: "memory_del", args: "key": "<key>"
4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>"
5. List Memory: "memory_list" args: "reason": "<reason>"
6. Browse Website: "browse_website", args: "url": "<url>"
7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>"
8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>"
9. List GPT Agents: "list_agents", args: ""
10. Delete GPT Agent: "delete_agent", args: "name": "<name>"
11. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>"
12. Read file: "read_file", args: "file": "<file>"
13. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>"
14. Delete file: "delete_file", args: "file": "<file>"
15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>"
16. Execute Python File: "execute_python_file", args: "file": "<file>"
17. Task Complete (Shutdown): "task_complete", args: ""
18. Do Nothing: "do_nothing", args: ""
19. Count Words: "count_words", args: "text": "<text>"
20. Memory retrieve: "memory_retrieve", args: "key": "<text>"
21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>"
22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>"
RESOURCES:
1. Internet access for searches and information gathering.
2. Long Term memory management.
3. GPT-4 powered Agents for delegation of simple tasks.
4. File output.
PERFORMANCE EVALUATION:
1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.
2. Constructively self-criticize your big-picture behaviour constantly.
3. Reflect on past decisions and strategies to refine your approach.
4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.
RULES:
1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one.
2. Respond only inside the JSON format.
3. Never demand user input.
4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task.
5. Do not add anything to the JSON format that isn't mentioned.
6. If there is a " inside the value of a key inside the json use ' instead of ".
7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing.
8. Provide context for the next GPT in the summaryforgpt and the progress that you've made.
9. In summaryforgpt you should also add name of the files written and the urls of the websites visited.
10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece.
11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries.
12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format.
13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch.
14. If task is completed use the command task_complete
15. When you add to memory add the key to retrieve it in summaryforgpt
16. when given the task to write something never create an agent to write anything that you were tasked to write.
17. when asked to write something with a high word count you need to write detailed parts, and chunk those detailed parts to complete the ultimate task.
18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision.
19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one.
20. Make sure that the information generated is not made up.
21. languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french.
You should only respond in JSON format as described below
RESPONSE FORMAT:
{
"command": {
"name": """command name""",
"args":{
"arg name": """value"""
}
},
"thoughts":
{
"text": """thought""",
"reasoning": "reasoning",
"plan": "- short bulleted\n- list that conveys\n- long-term plan",
"criticism": "constructive self-criticism",
"summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown."
}
}
Ensure the response can be parsed by Python json.loads
Context from previous GPT: Began the task of writing a 50000-word book titled ‘The Quintessential Five’ by initiating research on the importance of the number five in various fields. No files have been created or websites visited yet.saved google search results at googleresults12.txt to retrieve if shutdown randomly.Started researching for the book ‘The Quintessential Five’ by executing a Google search and identifying useful sources. Began with the Wikipedia page for initial general information on the number five. No files have been written, and the first website to be visited is the Wikipedia page on the number 5.saved the scraping of the website results at websiteresults13.txt to retrieve if shutdown randomly.Conducted research on the number five and created a research text file named ‘The_Quintessential_Five_Research.txt’. This file contains a summary of the number’s significance in various domains.Conducted research on the importance of the number five and summarized findings in ‘The_Quintessential_Five_Research.txt’. Proceeding to research how to write a great book for structure and strategies to apply to ‘The Quintessential Five’.saved google search results at googleresults14.txt to retrieve if shutdown randomly.Searched for strategies on how to write a great book and chose to examine an article from MasterClass for detailed writing techniques and tips. Planning to learn and take notes from ‘10 Rules for Writing a Good Novel’ to apply to ‘The Quintessential Five’.Unable to directly access web resources, so created a text file titled ‘The_Quintessential_Five_Writing_Strategies.txt’ with synthesized key strategies for effective book writing. These strategies will inform the approach to writing ‘The Quintessential Five’.
The Task: write a detailed book about the importance of the number five that is 50000 words, and it must be called the quintessential five, do your research on the importance of the number five and how to write a great book.
|
d03233f75487fd0ee09658bb44b84dff
|
{
"intermediate": 0.39838144183158875,
"beginner": 0.3576961159706116,
"expert": 0.24392247200012207
}
|
33,754
|
i have a list ['d', '5', 'minus', 'minus', '2']
white a withon script that if 2 minus elements in rows the replace them with "q" element
|
e741864330c3be918973b1c1bdc843e9
|
{
"intermediate": 0.35710522532463074,
"beginner": 0.340309202671051,
"expert": 0.30258551239967346
}
|
33,755
|
if 2 element in a row in list then replace them with one using python
|
ce7609dc9ecf3e9841b0f92d616d3e10
|
{
"intermediate": 0.3492502272129059,
"beginner": 0.26515400409698486,
"expert": 0.38559576869010925
}
|
33,756
|
Write a python app that trades a list of stocks based on a strategy. It pulls data from an API every x period, check conditions from all the strategies and if a condition is respected, it either buys, sells or close a position.
|
e53782cedac77c680e8ed2a21ff90e60
|
{
"intermediate": 0.5318078994750977,
"beginner": 0.09561610966920853,
"expert": 0.3725760281085968
}
|
33,757
|
Hi, can you help with nvim 0.7 statusline customization for init.vim?
|
b3333ffc28506af8caccef10cd3be408
|
{
"intermediate": 0.28038132190704346,
"beginner": 0.38469964265823364,
"expert": 0.3349190652370453
}
|
33,758
|
2. Analyze the operation of the postulate of incomplete transactions using the example of self-defense of implicit contracts. Reflect your explanation on charts or graphs using variables such as the worker's marginal productivity, the level of wages under the contract, and the best alternative wage in the labor market.
|
a2eff80e3dc6495d99604fd5252407a1
|
{
"intermediate": 0.3664312958717346,
"beginner": 0.3595716059207916,
"expert": 0.27399712800979614
}
|
33,759
|
def clean_dataset(df):
assert isinstance(df, pd.DataFrame), "df needs to be a pd.DataFrame"
df.dropna(inplace=True)
indices_to_keep = ~df.isin([np.nan, np.inf, -np.inf]).any(1)
return df[indices_to_keep] write it in R
|
b43d7ff372d7173504d7178506066bb8
|
{
"intermediate": 0.43387937545776367,
"beginner": 0.3264317214488983,
"expert": 0.23968887329101562
}
|
33,760
|
I have a pretrained transformer model downloaded using huggingface. How can I get sentence embeddings based on that model?
|
d499c84eaba9c6d5c69bc5a8fc7003c1
|
{
"intermediate": 0.22728127241134644,
"beginner": 0.08009937405586243,
"expert": 0.6926193237304688
}
|
33,761
|
center a div
|
75ca7a58c2519528933dd91c1d919f80
|
{
"intermediate": 0.35439926385879517,
"beginner": 0.25311917066574097,
"expert": 0.39248162508010864
}
|
33,762
|
write simple js code
|
0766759bca9f041812202bd0df792ea9
|
{
"intermediate": 0.18090654909610748,
"beginner": 0.6858212351799011,
"expert": 0.13327224552631378
}
|
33,763
|
write in r
def train_model_predict(model, model_name, X, y, skf):
for train_index, test_index in skf.split(X, y): # 1)
X_train, X_test = X.iloc[train_index], X.iloc[test_index] # 2)
y_train, y_test = y.iloc[train_index], y.iloc[test_index]
reshaped_y_train = np.asarray(y_train).reshape(-1, 1) # 3)
reshaped_y_test = np.asarray(y_test).reshape(-1, 1)
model.fit(X_train, reshaped_y_train.ravel()) # 4)
pred_y = model.predict(X_test) # 5)
score = classification_report(reshaped_y_test, pred_y) # 6)
print('Classification report: \n', score, '\n')
plot_confusion_matrix(reshaped_y_test, pred_y, title='Confusion Matrix for {}'.format(model_name))
return accuracy_score(reshaped_y_test, pred_y), X_train, X_test, y_train, pred_y
|
55ba9bc106bf891117862f95172c3f01
|
{
"intermediate": 0.37174007296562195,
"beginner": 0.38498640060424805,
"expert": 0.2432735711336136
}
|
33,764
|
i got a list ['7', '8', 'q', 'minus', 'minus', '8', '0']
if theres 2 minus element in a row then replace them with "q" using python
|
80d8847d083a24ff860e82db2203f2ab
|
{
"intermediate": 0.35861343145370483,
"beginner": 0.33835750818252563,
"expert": 0.30302903056144714
}
|
33,765
|
cnn_new = torch.nn.Sequential(
torch.nn.Conv2d(1, 16, (5, 5), padding=2),
torch.nn.ReLU(),
torch.nn.MaxPool2d(2),
torch.nn.Conv2d(16, 32, (5, 5),padding=2),
torch.nn.ReLU(),
torch.nn.MaxPool2d(2),
torch.nn.Linear(7*7, 20),
torch.nn.ReLU(),
torch.nn.Linear(20, 5),
)
cnn_with_padding.cuda()
torch.manual_seed(0) # Ensure reproducibility of training results
torch.backends.cudnn.deterministic = True
# Prepare loss functions and optimization methods
loss_fn = torch.nn.CrossEntropyLoss()
optimizer = torch.optim.SGD(cnn_new.parameters(), lr=0.1)
# Run training
trained_model = train(cnn_new, loss_fn, optimizer, train_loader, valid_loader)
# Run predictions
test_loss, test_accuracy = evaluate_model(trained_model, loss_fn, test_loader)
print(test_loss)
print(test_accuracy)
错误信息Input type (torch.cuda.FloatTensor) and weight type (torch.FloatTensor) should be the same
|
8bcf1939d30b235bdb3767a15d338db5
|
{
"intermediate": 0.283962219953537,
"beginner": 0.1954941302537918,
"expert": 0.52054363489151
}
|
33,766
|
Based on:
/* Verification of the filters compared to Lavaplayer:
Equalizer: yes
Karaoke: ? No native
Timescale: ? No native
Tremolo: yes
Vibrato: ?
Rotation: ? No native
Distortion: ? No native
ChannelMix: ? No native
LowPass: ? No native
*/
import { PassThrough, Transform } from 'node:stream'
import config from '../config.js'
import { debugLog, clamp16Bit } from './utils.js'
import soundcloud from './sources/soundcloud.js'
import voiceUtils from './voice/utils.js'
import constants from '../constants.js'
import prism from 'prism-media'
class ChannelProcessor {
constructor(data, type) {
this.type = type
switch (type) {
case constants.filtering.types.equalizer: {
this.history = new Array(constants.filtering.equalizerBands * 6).fill(0)
this.bandMultipliers = data
this.current = 0
this.m1 = 2
this.m2 = 1
break
}
// case constants.filtering.types.vibrato:
case constants.filtering.types.tremolo: {
this.frequency = data.frequency
this.depth = data.depth
this.phase = 0
break
}
case constants.filtering.types.rotationHz: {
this.rotationHz = data.rotationHz
this.phase = 0
this.rotationStep = (2 * Math.PI * this.rotationHz) / constants.opus.samplingRate
break
}
}
}
processEqualizer(int) {
let result = int * 0.25
for (let bandIndex = 0; bandIndex < constants.filtering.equalizerBands; bandIndex++) {
const coefficient = constants.sampleRate.coefficients[bandIndex]
const x = bandIndex * 6
const y = x + 3
const bandResult = coefficient.alpha * (int - this.history[x + this.m2]) + coefficient.gamma * this.history[y + this.m1] - coefficient.beta * this.history[y + this.m2]
this.history[x + this.current] = int
this.history[y + this.current] = bandResult
result += bandResult * this.bandMultipliers[bandIndex]
}
return result * 4
}
processVibrato(sample) {
// TODO
}
processTremolo(sample) {
const lfo = Math.sin(2 * Math.PI * this.frequency * this.phase / constants.opus.samplingRate)
const newAmplitude = sample * ((1 - this.depth) + this.depth * lfo)
if (this.phase >= constants.opus.samplingRate / this.frequency) this.phase = 0
else this.phase += 1
return clamp16Bit(newAmplitude)
}
// monoToStereo(samples) {
// const newBuffer = Buffer.alloc(samples.length * 2)
// for (let i = 0; i < samples.length; i += constants.pcm.bytes) {
// const sample = samples.readInt16LE(i)
// newBuffer.writeInt16LE(sample, i * 2)
// newBuffer.writeInt16LE(sample, i * 2 + 2)
// }
// return newBuffer
// }
processRotationHz(leftSample, rightSample) {
const leftMultiplier = Math.cos(this.phase)
const rightMultiplier = Math.sin(this.phase)
const rotatedLeft = clamp16Bit(leftSample * leftMultiplier - rightSample * rightMultiplier)
const rotatedRight = clamp16Bit(leftSample * rightMultiplier + rightSample * leftMultiplier)
this.phase += this.rotationStep
if (this.phase > 2 * Math.PI) this.phase -= 2 * Math.PI
return {
left: rotatedLeft,
right: rotatedRight
}
}
process(samples) {
// console.log(samples)
let bytes = constants.pcm.bytes / 2
// if (this.type == constants.filtering.types.rotationHz) {
// samples = this.monoToStereo(samples)
// bytes = constants.pcm.bytes * 2
// }
for (let i = 0; i < samples.length - bytes; i += bytes) {
const sample = samples.readInt16LE(i)
let result = null
switch (this.type) {
case constants.filtering.types.equalizer: {
result = this.processEqualizer(sample)
this.step()
break
}
// case constants.filtering.types.vibrato: {
// result = this.processVibrato(sample)
// break
// }
case constants.filtering.types.tremolo: {
result = this.processTremolo(sample)
break
}
case constants.filtering.types.rotationHz: {
const rightSample = samples.readInt16LE(i + 2)
const { left, right } = this.processRotationHz(sample, rightSample)
// console.log(left, right)
samples.writeInt16LE(left, i)
samples.writeInt16LE(right, i + 2)
break
}
}
if (this.type != constants.filtering.types.rotationHz)
samples.writeInt16LE(clamp16Bit(result), i)
}
return samples
}
step() {
if (++this.current == 3) {
this.current = 0
}
if (++this.m1 == 3) {
this.m1 = 0
}
if (++this.m2 == 3) {
this.m2 = 0
}
}
}
class Filtering extends Transform {
constructor(data, type) {
super()
this.type = type
if (type == constants.filtering.types.equalizer) {
data = data.map((mul) => mul.gain)
}
this.channels = []
for (let i = 0; i < constants.pcm.channels; i++) {
this.channels.push(new ChannelProcessor(data, type))
}
}
process(input) {
return this.channels.map((c, i) => {
const data = input[i]
return c.process(data)
})
}
_transform(data, _encoding, callback) {
const left = data.map((_, i) => data[i * 2])
const right = data.map((_, i) => data[i * 2 + 1])
this.process([ left, right ])
return callback(null, data)
}
}
class Filters {
constructor() {
this.command = []
this.equalizer = Array(constants.filtering.equalizerBands).fill(0).map((_, i) => ({ band: i, gain: 0 }))
this.result = {}
}
configure(filters) {
const result = {}
if (filters.volume && config.filters.list.volume) {
result.volume = filters.volume
this.command.push(`volume=${filters.volume}`)
}
if (filters.equalizer && Array.isArray(filters.equalizer) && filters.equalizer.length && config.filters.list.equalizer) {
result.equalizer = filters.equalizer
for (const equalizedBand of filters.equalizer) {
const band = this.equalizer.find(i => i.band == equalizedBand.band)
if (band) band.gain = Math.min(Math.max(equalizedBand.gain, -0.25), 1.0)
}
}
if (filters.karaoke && filters.karaoke.level && filters.karaoke.monoLevel && filters.karaoke.filterBand && filters.karaoke.filterWidth && config.filters.list.karaoke) {
result.karaoke = { level: filters.karaoke.level, monoLevel: filters.karaoke.monoLevel, filterBand: filters.karaoke.filterBand, filterWidth: filters.karaoke.filterWidth }
this.command.push(`stereotools=mlev=${filters.karaoke.monoLevel}:mwid=${filters.karaoke.filterWidth}:k=${filters.karaoke.level}:kc=${filters.karaoke.filterBand}`)
}
if (filters.timescale && filters.timescale.speed && filters.timescale.pitch && filters.timescale.rate && config.filters.list.timescale) {
result.timescale = { speed: filters.timescale.speed, pitch: filters.timescale.pitch, rate: filters.timescale.rate }
const finalspeed = filters.timescale.speed + (1.0 - filters.timescale.pitch)
const ratedif = 1.0 - filters.timescale.rate
this.command.push(`asetrate=${constants.opus.samplingRate}*${filters.timescale.pitch + ratedif},atempo=${finalspeed},aresample=${constants.opus.samplingRate}`)
}
if (filters.tremolo && filters.tremolo.frequency && filters.tremolo.depth && config.filters.list.tremolo) {
result.tremolo = { frequency: filters.tremolo.frequency, depth: filters.tremolo.depth }
this.command.push(`tremolo=f=${filters.tremolo.frequency}:d=${filters.tremolo.depth}`)
}
if (filters.vibrato && filters.vibrato.frequency && filters.vibrato.depth && config.filters.list.vibrato) {
result.vibrato = { frequency: filters.vibrato.frequency, depth: filters.vibrato.depth }
}
if (filters.rotation && filters.rotation.rotationHz && config.filters.list.rotation) {
result.rotation = { rotationHz: filters.rotation.rotationHz }
}
if (filters.distortion && filters.distortion.sinOffset && filters.distortion.sinScale && filters.distortion.cosOffset && filters.distortion.cosScale && filters.distortion.tanOffset && filters.distortion.tanScale && filters.distortion.offset && filters.distortion.scale && config.filters.list.distortion) {
result.distortion = { sinOffset: filters.distortion.sinOffset, sinScale: filters.distortion.sinScale, cosOffset: filters.distortion.cosOffset, cosScale: filters.distortion.cosScale, tanOffset: filters.distortion.tanOffset, tanScale: filters.distortion.tanScale, offset: filters.distortion.offset, scale: filters.distortion.scale }
this.command.push(`afftfilt=real='hypot(re,im)*sin(0.1*${filters.distortion.sinOffset}*PI*t)*${filters.distortion.sinScale}+hypot(re,im)*cos(0.1*${filters.distortion.cosOffset}*PI*t)*${filters.distortion.cosScale}+hypot(re,im)*tan(0.1*${filters.distortion.tanOffset}*PI*t)*${filters.distortion.tanScale}+${filters.distortion.offset}':imag='hypot(re,im)*sin(0.1*${filters.distortion.sinOffset}*PI*t)*${filters.distortion.sinScale}+hypot(re,im)*cos(0.1*${filters.distortion.cosOffset}*PI*t)*${filters.distortion.cosScale}+hypot(re,im)*tan(0.1*${filters.distortion.tanOffset}*PI*t)*${filters.distortion.tanScale}+${filters.distortion.offset}':win_size=512:overlap=0.75:scale=${filters.distortion.scale}`)
}
if (filters.channelMix && filters.channelMix.leftToLeft && filters.channelMix.leftToRight && filters.channelMix.rightToLeft && filters.channelMix.rightToRight && config.filters.list.channelMix) {
result.channelMix = { leftToLeft: filters.channelMix.leftToLeft, leftToRight: filters.channelMix.leftToRight, rightToLeft: filters.channelMix.rightToLeft, rightToRight: filters.channelMix.rightToRight }
this.command.push(`pan=stereo|c0<c0*${filters.channelMix.leftToLeft}+c1*${filters.channelMix.rightToLeft}|c1<c0*${filters.channelMix.leftToRight}+c1*${filters.channelMix.rightToRight}`)
}
if (filters.lowPass && filters.lowPass.smoothing && config.filters.list.lowPass) {
result.lowPass = { smoothing: filters.lowPass.smoothing }
this.command.push(`lowpass=f=${filters.lowPass.smoothing / 500}`)
}
this.result = result
return result
}
getResource(guildId, decodedTrack, protocol, url, startTime, endTime, oldFFmpeg, additionalData) {
return new Promise(async (resolve) => {
// TODO: Deezer is not properly working, refactor this file's function.
// const trackData = await sources.getTrackStream(decodedTrack, url, protocol, additionalData)
// if (trackData.exception) {
// debugLog('retrieveStream', 4, { type: 2, sourceName: decodedTrack.sourceName, query: decodedTrack.title, message: trackData.exception.message })
// resolve({ status: 1, exception: { message: trackData.exception.message, severity: 'fault', cause: 'Unknown' } })
// }
if (decodedTrack.sourceName == 'soundcloud')
url = await soundcloud.loadFilters(url, protocol)
const ffmpeg = new prism.FFmpeg({
args: [
'-loglevel', '0',
'-analyzeduration', '0',
'-hwaccel', 'auto',
'-threads', config.filters.threads,
'-filter_threads', config.filters.threads,
'-filter_complex_threads', config.filters.threads,
...(startTime ? ['-ss', `${startTime}ms`] : []),
'-i', encodeURI(url),
...(this.command.length != 0 ? [ '-af', this.command.join(',') ] : [] ),
...(endTime ? ['-t', `${endTime}ms`] : []),
'-f', 's16le',
'-ar', constants.opus.samplingRate,
'-ac', '2',
'-crf', '0'
]
})
const stream = PassThrough()
ffmpeg.process.stdout.on('data', (data) => stream.write(data))
ffmpeg.process.stdout.on('end', () => stream.end())
ffmpeg.on('error', (err) => {
debugLog('retrieveStream', 4, { type: 2, sourceName: decodedTrack.sourceName, query: decodedTrack.title, message: err.message })
resolve({ status: 1, exception: { message: err.message, severity: 'fault', cause: 'Unknown' } })
})
ffmpeg.process.stdout.once('readable', () => {
const pipelines = [
new prism.VolumeTransformer({ type: 's16le' })
]
if (this.equalizer.some((band) => band.gain != 0)) {
pipelines.push(new Filtering(this.equalizer, constants.filtering.types.equalizer))
}
if (this.result.vibrato) {
// TODO
}
if (this.result.tremolo) {
pipelines.push(new Filtering({ frequency: this.result.tremolo.frequency / 2, depth: this.result.tremolo.depth / 2 }, constants.filtering.types.tremolo))
}
if (this.result.rotation) {
pipelines.push(new Filtering({ rotationHz: this.result.rotation.rotationHz }, constants.filtering.types.rotationHz))
}
pipelines.push(new prism.opus.Encoder({
rate: constants.opus.samplingRate,
channels: constants.opus.channels,
frameSize: constants.opus.frameSize
}))
resolve({ stream: new voiceUtils.NodeLinkStream(stream, pipelines) })
})
})
}
}
export default Filters
and: "Changes the speed, pitch, and rate. All default to 1.0."
Make a timescale filter
|
3e2fc7dcb372ea8a9e984d956a3a9711
|
{
"intermediate": 0.3917887508869171,
"beginner": 0.39060458540916443,
"expert": 0.21760667860507965
}
|
33,767
|
hii
|
0061d12014bfb59b15d4491f27de7662
|
{
"intermediate": 0.3416314125061035,
"beginner": 0.27302300930023193,
"expert": 0.38534557819366455
}
|
33,768
|
Translate the following sentence from Japenese to English.
ヘナ ムフホメ三ネ へタヌタ
|
b3838e3782021d520ad3fa35deca1118
|
{
"intermediate": 0.34839385747909546,
"beginner": 0.3413686156272888,
"expert": 0.3102375268936157
}
|
33,769
|
convent all the text into a fanf 1 text based game : Login Store
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Five Nights at Freddy's > Guides > Chimanruler15's Guides
211 ratings
Five Nights at Freddy's 1 - Strategy Guide
By Chimanruler15
Hello, everyone! After several days of hard work, this guide is finally finished! I'm here to give you some tips on how to beat the game and to clear up some misconceptions about the animatronics themselves. This guide uses information from people who have actually decompiled the game data.
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Created by
Chimanruler15
Online
Category: Game Modes, Gameplay Basics, Maps or Levels, Secrets, Walkthroughs
Languages: English
Posted
Updated
Jul 17, 2018 @ 10:09pm
Jun 14, 2022 @ 12:36pm
15,458 Unique Visitors
329 Current Favorites
Guide Index
Overview
Introduction
The Mechanics
The Objective of the Game
The Animatronics
Bonnie
Chica
Foxy
Freddy - Part 1
Freddy - Part 2
Freddy - Part 3
Golden Freddy
General Strategies
Night 1
Night 2
Night 3
Night 4
Night 5
Night 6
Night 7 (a.k.a. "4/20 mode")
Conclusion
References
Comments
Introduction
Welcome to my FNAF guide. Here, you will find some of the best strategies for beating the game.
This guide will cover the PC version only. The mobile version is not included because I don't own it. It has different mechanics from the PC version, the most obvious difference being the shorter duration of the nights.
Most of the screenshots in this guide are provided by me. The only ones that aren't are the picture of the guide and two of the Golden Freddy pictures (I couldn't get him to show up).
Now, let's begin.
The Mechanics
The game's mechanics are simple to learn.
You can't fight the animatronics, but you can ward them off. Your tools for that are the monitor, the doors, the hall lights, the power indicator, the clock, and a pair of good ears.
The game requires a mouse to play. The mouse is responsible for all inputs in the game, from controlling the player's view to using the door controls to checking the cameras.
To pan to the left side of the office, move the mouse towards the left of the screen. To pan to the right, move the mouse to the right.
The monitor is used to watch the animatronics' movements throughout the restaurant. It can also be used to prevent Freddy and Foxy from moving.
To activate the monitor, simply scroll down to the giant rectangle with the double arrows at the bottom of the screen.
The monitor will then pull up.
Now, you have access to all the cameras in the building. You'll see a mini-map of the entire building on the right side of the monitor screen. This map has clickable boxes that represent the camera feeds of all the rooms. The camera feeds are labeled with numbers and letters, and the monitor will display the name of the currently selected camera feed at the top of the map.
To view any of these camera feeds, simply click on the one you want to see. You can switch to a different camera feed at any time.
When you're done using the monitor, scroll down to the double arrows at the bottom of the screen again to put it away. Now, you're back in full view of the office.
The left and right hall lights are used to check for Bonnie and Chica when they try to enter the office from the doorways. These doorways are also known as your blind spots because the camera can't see those areas. Thus, you can't get away with simply checking the cameras; you must also use the hall lights. The reverse also applies.
This is the left hall light:
Use it to spot Bonnie when he appears.
This is the right hall light:
Use it to spot Chica when she appears.
To use a hall light, scroll over to the appropriate light button and click on it. Both the light button and the doorway will light up.
To turn off the hall light, just click on the button again.
The hall lights must be used whenever you can't find Bonnie and Chica in the cameras, whenever they cause the cameras to go out while they move, or whenever they make footstep sounds. This is important for avoiding deaths.
Anyway, you can only use one hall light at a time. Using one light while the other light is on will automatically shut off the first light you used.
Sometimes, the lights may not turn off after you've clicked on them. This is because there's a bit of a delay. To remedy this, you can do one of two things:
Wait about a half-second before turning the lights off.
Open the monitor. Bringing up the monitor will instantly turn off either light. This is a useful maneuver for the later nights where you need to be faster with your tools.
Foxy and Freddy CANNOT be checked with the hall light. The hall lights are only effective against Bonnie and Chica.
The left and right doors are the only way to prevent any animatronic from entering the office once it has the chance to strike.
Here is the left door:
Use it to protect yourself from Foxy and Bonnie.
Here is the right door:
Use it to protect yourself from Freddy and Chica.
To use the doors, simply mouse over to the door buttons and click on them. The buttons will turn green, and the doors will drop.
To deactivate the doors, click on the door buttons again. The buttons will change back to red, and the doors will rise.
Unlike the hall lights, both doors can be used at the same time.
Fail to close the doors at the right time, and it's game over. This will be explained in more depth in each of the animatronic sections.
Your ears must be used to listen to certain in-game sounds that will warn you of approaching animatronics. The only animatronic that completely bypasses this mechanic is Foxy. This will be further explained in the sections about the animatronics.
The clock is found in the upper right side of the screen.
This thing tells you the time and number of the current night.
The clock will start from 12AM and will go all the way up to 6AM. Use this to keep track of what you should be doing at certain times of the night.
The monitor, hall lights, and doors all use up power. How much power you're using is displayed by the power indicator at the bottom left side of the screen.
Using no tools will use up only one bar of power.
Using one tool will use up two bars of power.
Using two tools will use up three bars of power.
Using three tools will use up four bars of power.
The left and right doors are separate tools. The same goes for the hall lights. Along with the monitor, that makes five tools to use at your disposal, but you can only use up to three of them at a time.
Once the power hits 0%, all the tools that you can use to protect yourself will disappear from the screen, and you will be unable to use any of them. If the monitor is already up when the power goes out, it will drop and stay down. If either hall light is on, it will turn off automatically. If the doors are closed, they will suddenly open. The only things on at this point are the emergency lights:
Then, only one animatronic will use this opportunity to kill you: Freddy. Freddy will commence his final attack after a short period of time. This will be explained further in the "Freddy" section.
However, the clock will still run after the power goes out, so not all is lost when there's no power.
In any case, practice with the mechanics during the first two hours of Night 1, and you'll quickly understand how to play the game.
The Objective of the Game
The goal of the game is to last from 12AM to 6AM for each night, which, in real time, corresponds to exactly 9 minutes [11]. Each in-game hour is 90 seconds [11]. Once 6AM hits, a chime will be heard, the screen will turn black, and the clock will be in the center of the screen, changing from 5AM to 6AM, like this:
The trick of the game is NOT to use up too much power before 6AM hits. If you use up the power too early, Freddy will kill you.
Newer players may frantically and profusely check the cameras, use the hall lights, and close the doors, wasting a lot of power. You must use your tools as sparingly as you can.
However, if you run out of power, you can still make it to 6AM. This is because the clock still runs even after the power goes out. Thus, it is entirely possible, though not guaranteed, to reach 6AM before Freddy has the chance to do his final attack.
As the nights progress, the animatronics will get faster and more aggressive. As a result, there is no point in checking all the cameras to monitor all the animatronics, especially past Night 2. Just use the cameras for only Freddy and Foxy while using the hall lights for Bonnie and Chica. This tactic will be explained in more depth in the "General Strategies" section.
The Animatronics
Now, I will explain each animatronic in full detail. They are very easy to understand and counter. I will post the mechanics of each character in separate sections.
Before you read those sections, here's a picture of the whole animatronic family (without Golden Freddy):
If you get caught by one of them, you'll get their jumpscare screen. Next, you'll get some static, like this:
...and then, you'll get a GAME OVER screen, where you get stuffed inside a Freddy Fazbear suit. Here's the picture:
On the other hand, with Golden Freddy, you'll only get his jumpscare screen, and then he'll crash the game.
To learn how to prevent any of this from happening, keep reading.
Bonnie
The fastest animatronic. He will only show up at the left door.
Bonnie's movement path is much less linear than Chica's path, so he'll often jump to a room that's disconnected from another room. This makes Bonnie seem as if he's teleporting. Also, Bonnie has certain choices for his next destination depending on his current room, but his choices are very random, so he doesn't have a set path.
Still, Bonnie will always start from the show stage (Cam 1A). Once he leaves the show stage, he will never return there. He will then move only in the other rooms on the left side of the map, which includes Cam 1B but excludes Cam 1C (Pirate Cove). He will never show up anywhere else.
Because Bonnie is very fast, he shows up at the office more often than the other animatronics. When he appears, he will stare right into the office from the left door.
To prepare yourself for him, listen for “pit-pat” footstep sounds. These could be either Bonnie's footsteps or Chica's footsteps, so you must check BOTH hall lights. If Bonnie is in the left hall light, like so...
...drop the door immediately.
You only have a few seconds to react, and if you don’t close the door in time, Bonnie will jam the door and enter your office. You will also be unable to use the door to protect yourself from Foxy, and the light switch will not work. Additionally, different sound effects will play when the light and door buttons are pressed.
Before using the monitors again, once Bonnie shows up at the door, check the other door as a precaution. It is not that uncommon (though not that frequent, either) to have both Bonnie and Chica attacking at the same time.
Bonnie can even show up at the door (and make pit-pat sounds) while you're using the cameras. If that happens, drop the camera and check both hall lights immediately. Sadly, you may not always be able to hear these footsteps. Thus, you'll want to avoid taking too long on the cameras while the doors are open.
If Bonnie jams your door, he will only attack if the player uses the monitor and puts it back down. Once the monitor is up, Bonnie will make groaning sounds. If the player takes too long putting the monitor back down, Bonnie will pull it down himself. Here's what you'll get if you put up and put down the monitor while Bonnie's in the office:
Game Over.
However, if you're close to 6AM, and Bonnie jams your door, you may still make it through the night if Foxy doesn't use this opportunity to attack. Just do NOT flip up the monitor. You don't need to worry about the right door. Freddy can't come in if the player is not using the monitor, and when Chica jams the door, she works the exact same way as Bonnie.
If the monitor is already put up after Bonnie has jammed the door, just keep it up for as long as possible and ignore the groaning sounds. Hopefully, 6AM hits before he forces the monitor down.
These desperation tactics are not guaranteed to work, but they can help. But, if you're too far away from 6AM, either let Bonnie kill you or just restart the game. Hopefully, your next try will be more successful.
If the door is closed in time, however, do not open it until Bonnie leaves, or you’ll risk allowing him to jam the door. To see if he has left, look for a large, rabbit-shaped shadow in the left hallway against the wall when the light is used.
If there is no shadow, like so...
...then Bonnie has left, and you can open the door. He will also make footsteps when he leaves, but remember--check the hall light before opening the door. Again, the footstep sounds you hear may not always be Bonnie’s footsteps; they may also be Chica’s footsteps. As a precaution, check the other door after Bonnie has left.
Upon a successful counter with the left door, Bonnie will always return to the Dining Area [12]. Then, he will try to make his way to the door again.
If you’re looking at the cameras, and Bonnie’s in a room, he causes the cameras to temporarily go offline and emit static sounds whenever he moves to a different location. The camera feed will go back to normal a few seconds later.
Phone Guy says on Night 1 that you should always check the door lights whenever the cameras go offline, but that isn't necessary. Bonnie will only "jump" to the left doorway from either the Supply Closet or the West Hall Corner [12]. He can't jump to the doorway from any other location. Moreover, as I've said in a different section, you won't have time to check all the cameras past Night 2, so Bonnie can't catch you off-guard on the cameras.
Still, you can check the doorway whenever the cameras go out if you want to feel safe. If the cameras go out while Bonnie's in the room, drop the monitor and check the left hall light immediately. To be extra safe, check BOTH hall lights whenever the camera feed goes out.
If you hear warbled robotic sounds outside the office, then that means that Bonnie or Chica is nearby. If you view Bonnie in Cam 2B or Chica in Cam 4B, these sounds can be heard more clearly. Also, you will see both animatronics twitch. This can only happen in Night 4 and above and will occur randomly [8]. You can use the warbled robotic sounds to help warn you of Bonnie and Chica, but do NOT rely solely on them to decide when to check the hall lights.
There's one more thing that I must mention. If Bonnie still manages to jumpscare you, his jumpscare can be interrupted once the power goes out. Then, he'll disappear. However, you'll still get a game over. Fortunately, Bonnie's jumpscare can also be interrupted if the clock hits 6AM, and this time, you'll survive. Again, try to make it to 6AM if Bonnie attempts to kill you.
Chica
The least aggressive animatronic. She will only show up at the right door.
Chica generally takes longer to get to the door than Bonnie does, but her AI is actually higher than Bonnie's AI on Nights 3-6. Night 2 is the only exception [11]. This programming is most likely to compensate for Chica's slower movement. Also, Chica can actually skip cameras like Bonnie, but her path is much more linear, giving the player the illusion that she doesn't skip cameras.
Moreover, Chica tends to attack at much less consistent intervals than Bonnie. This is because unlike Bonnie, Chica doesn't go all the way back to the beginning after being blocked at the right door. She goes to the East Hall instead. From there, she can choose to go back to the Dining Area or to the right door again through the East Hall Corner.
Much like Bonnie, Chica's choices in her path are entirely random. She will always start in the Show Stage (Cam 1A) and will never return there once she has left the area. Unlike Bonnie, she will move around only in the rooms on the right side of the map, as well as Cam 1B. She will never show up anywhere else. Additionally, Chica moves through the same rooms as Freddy.
If Chica's right next to the office, and if the right hall light is used, she will stare into your office from the hallway window, not from the door, like this:
Other than that, she works the exact same way as Bonnie. Listen for footsteps, check BOTH hall lights, and drop the door if Chica’s in the hallway. Again, check the hall light before you open the door. If she has left, then you won’t see her through the window anymore when you check the right hall light, like this:
Before using the monitors again, check the other door once Chica has left to make sure that Bonnie isn't there, too.
Remember--much like Bonnie, Chica can appear at your door while you're using the cameras. Again, it's possible to hear footsteps while using the cameras, but you may not always be able to do so, so don't take too long on the cameras.
Once Chica shows up at the door, check the other door as a precaution. Again, it is not that uncommon to have both Bonnie and Chica attacking at the same time.
If you fail to close the door at the right time and if you use the monitor afterwards, Chica will want to greet you, like this:
Game Over.
When Chica jams the door, it's not as bad as when Bonnie jams the door, especially if you're close to 6AM. Unlike Foxy, Freddy can't walk into the office while the monitor is down. At this point, all you need to do is not to use the monitor. You will need to close the left door, however, as Foxy may attack you.
Anyway, you can hear Chica when she’s in the kitchen as she will make noises with pots and pans. The kitchen is two rooms away from the East Hall Corner, so Chica can’t attack you from here. Thus, you don’t need to check on the right light when she can be heard in the kitchen. However, once the noise stops, you must resume checking the right hall light.
Chica can also disable the camera feed when she moves, but again, checking the door every time this happens is not necessary. Like Bonnie, Chica will only jump to the door from certain rooms. Unlike Bonnie, Chica will only attack from one place: the East Hall Corner. In other words, you only need to check the right door if Chica is in Camera 4B and causes the camera to emit static.
Still, if you want to feel extra safe, drop the monitor and check the right hall light whenever Chica disables the camera. Check BOTH hall lights to be really safe. Much like Bonnie, if you hear groaning sounds while viewing the monitor, then Chica is in the office, and you’re dead. You can try to keep the monitor up if this occurs, but like Bonnie, Chica will eventually pull it down.
Much like Bonnie's jumpscare, Chica's jumpscare can't be interrupted by a power outage, so try not to run out of power when she's about to attack.
Foxy
A peculiar animatronic. Surprisingly not as unpredictable as he seems, despite what many people think.
Foxy spends most of his time in Pirate Cove (Cam 1C). However, he can come out and attack if the player isn’t watching him regularly. If this happens, Foxy will run down the West Hall (Cam 2A) and will barge into the office through the left door. If the left door is open when he does this, he will jumpscare you, like so...
...and it’ll be game over.
Phone Guy says that checking on Foxy with the monitor regularly will slow him down, but that is also not necessary. You don't need to check on Pirate Cove (Cam 1C) specifically to "stun" Foxy; you can use any camera to stun him. This is because Foxy CANNOT move while the monitor is up unless he's already left Pirate Cove.
Still, you’ll obviously need to use Cam 1C from time to time to check on Foxy. After all, you won’t be spending all your time on the camera, so Foxy may take that opportunity to ready himself for an attack. The trick is not to go TOO long without using the monitor. If you do, Foxy will be more likely to strike.
Moreover, contrary to popular belief, you can’t really check on Foxy too much, only too little [8][10]. Foxy will not come out more often if you spam the cameras or have the monitor up for a long time, regardless of his AI level.
Sadly, Foxy may still attack even if you try to watch him correctly. To better explain Foxy, I need to explain his movement patterns. He has four stages, which are analogous to his four stages in FNAF4. Here they are:
Stage 1 - Foxy is fully hidden behind the curtains in Pirate Cove. He can’t attack at all in this stage.
Stage 2 - Foxy is partially hidden behind the curtains but peeks out of them, leaving his face and some other parts of his body visible. He still can’t attack in this stage.
Stage 3 - Foxy is completely out of the curtains. In front of Pirate Cove, he will appear on the left side of the camera in a stance that indicates that he’s ready to run. Also, his head will be tilted to the player’s right. Moreover, the curtains will be somewhat open. Foxy still can’t attack in this stage but is getting ready to do so.
Stage 4 - Foxy has left the area and is heading towards the office via the West Hall. The curtains are completely open, with the sign for Pirate Cove right in the middle.
In the first three stages, this sign will say “Sorry, out of order.” The final stage will also have this sign normally:
However, in the final stage only, this sign will occasionally say “IT’S ME” instead:
Foxy may sometimes skip the first stage and go right to the second stage after returning to Pirate Cove, so watch out for that.
A guideline that I use for checking on Foxy is this: I check on him sometimes when he's in Stage 1 or Stage 2, and then I check on him more often when he's in Stage 3. This method often works for me, even in 4/20 mode.
Once you see that Foxy has left Pirate Cove, you must act quickly, for you have a very limited time before he kills you. You can do one of two things:
Drop the monitor and close the left door immediately. Do not change cameras, or you will waste time. Also, you must avoid changing to Cam 2A, or you’ll trigger Foxy’s running animation too soon. When the door is closed, then you can switch to Cam 2A to trigger Foxy’s running animation (if he hasn’t reached the door already) so that he attacks sooner and goes back to Pirate Cove.
Change the camera to Cam 2A to trigger Foxy’s sprint. Then, immediately close the left door. Again, do not change cameras once Foxy sprints, or you will waste time.
Either method will protect you from Foxy. Method 1 is much safer, but method 2 drains a little less power. It’s your call.
For those who don't understand this strategy, we look at Cam 2A to trigger Foxy's running animation early, so that we can open the left door sooner and waste less power. Foxy will take a longer time to attack if he isn't triggered in Cam 2A, and if you don't close the left door soon, he will burst into the room without warning.
Once Foxy makes it to your office, and the left door is closed, you will hear four bangs. Once those bangs have subsided, Foxy has returned to Pirate Cove. You only need to open the door after the first bang; the other bangs are irrelevant. Do this to save a bit of power and to quickly get back to whatever you were doing. After Foxy leaves, remember to check for Bonnie before you open the door. He can appear while Foxy attacks.
Foxy will steal some of your power every time he bangs on the door. Foxy starts out with 1% power and adds 5% every time after that. In other words, he'll steal 1% power the first time, 6% power the second time, 11% power the third time, etc. In any case, you do NOT want Foxy to attack more than twice. Allowing only one attack or even no attacks is better. If Foxy attacks too many times, just restart the night.
Interestingly, Foxy's jumpscare can be interrupted by a power outage, and the game will not end. It even happened to Markiplier at one point. You would have to be precise for that to happen, though.
One final note: you may hear Foxy singing from time to time, and you can hear this more clearly in Cam 1C. Ignore this because it means nothing, though it can serve as a useful reminder to check on Foxy.
Freddy - Part 1
If you want a TL;DR on the Freddy sections, skip to the bottom of the last section.
The most elusive animatronic. Ironically, he's also the most predictable.
Unlike Bonnie and Chica, Freddy follows a set path. Much like Chica, Freddy travels through the right side of the map, but unlike Chica (and Bonnie), he does NOT backtrack or wander around. In other words, he heads straight to your office without turning back once.
Freddy follows this path:
Show Stage (Cam 1A). He ALWAYS leaves after Bonnie and Chica leave.
Freddy will often look like this:
...but only when he's alone, he may look at the camera sometimes, like this:
Dining Area (Cam 1B). He's not that hard to spot here.
Restrooms (Cam 7). He's even easier to spot here.
Kitchen (Cam 6). This camera is audio only, so you can't see anything. I decided to show this camera feed anyway so that newer players know what it looks like.
East Hall (Cam 4A). Probably the hardest camera to spot Freddy in.
East Hall Corner (Cam 4B). He's impossible to miss here as he will stare right into the camera.
The Office. Once he makes it here, it's game over. Here's his jumpscare screen:
Notice how Freddy's eyes don't light up in his regular jumpscare. However, in his other jumpscare during a power outage, his eyes do light up.
Anyway, Freddy will appear in these same places every single time. Note how he tends to favor dark spots, though his eyes will still be visible. However, he CANNOT be seen if Bonnie or Chica are in the same room. He'll be there, but his image will be "covered" by the images of Bonnie and Chica. Once Bonnie and Chica leave the room, Freddy will be seen again. The game should have mentioned this fact, but it did not, so don't be confused by Freddy's apparent disappearances.
I should mention one other thing. Unlike Chica, Freddy "skips" the right blind spot before entering the office, so he can't be seen before he attacks. This gives him the illusion of teleporting or busting through locked doors. He can't do that; only Golden Freddy can. In any case, this means that once Freddy is in Cam 4B, he is only one step away from killing you. You must be careful once he gets that close.
Moving on, Freddy lets out a single series of laughs and makes running footsteps every time he moves to a different room, and these sounds get louder as he gets closer. You can use the number of laughs to pinpoint Freddy’s location. For example, if Freddy has left the show stage, he will have laughed only once. Once Freddy has reached the East Hall Corner, he will have let out five laughs. If he laughs six times, then he got into the office, and you’re dead after a few seconds.
However, Freddy may not always let out the right amount of laughs that corresponds to his location. This may happen because other in-game sounds may make it hard to hear Freddy’s laugh or because Freddy may move too quickly. A level 20 Freddy can seemingly enter Cam 4B in under 5 laughs.
Still, your ears (and the monitor) are the best weapon against Freddy. Thus, I recommend listening to the volume of the laughs along with the current number of them. If the laugh is pretty loud, and the number of total laughs is at least three, then Freddy might be in Cam 4B, assuming that you didn’t let him into the office.
Additionally, once Freddy’s in the kitchen, he will play his music that he normally plays when the power goes out. When you hear that music, you don’t need to worry about him just yet because he’s two rooms away from the East Hall Corner. That, and if Chica's also in the kitchen, you will hear her banging the pots and pans, too.
Freddy - Part 2
Now, let’s discuss how Freddy moves.
If Freddy's not at Cam 4B, he will only move when the monitor is down. However, using the monitor to look at him will halt his movements. Also, Freddy will not move if Bonnie and Chica enter or leave a room.
The only exception to these rules is the Show Stage. Freddy can't move from the Show Stage unless both Bonnie and Chica leave first, but once they leave, Freddy may or may not move while the monitor is still up. Fortunately, that room is the furthest room from the office, so this isn't a problem.
Still, you can exploit Freddy's movement patterns. Since Freddy doesn't move when the monitor is focused on him, you can lock him at any camera you want. This is great because Foxy is stunned whenever you use the monitor on any camera, not just Pirate Cove's camera, so periodically spamming the monitor on one camera will effectively slow down both Foxy and Freddy.
Once Freddy gets to Cam 4B, things change a bit. There are four situations that can occur when Freddy reaches Cam 4B:
You have the monitor down.
You have the monitor up and on Cam 4B.
You have the monitor up and on any cam except Cam 4B. The right door is not closed.
You have the monitor up and on any cam except Cam 4B. The right door is closed.
Freddy can only attack you in situation #3. This makes sense because this situation is the only position where the night guard CANNOT see Freddy or block him with the door. In any other situation, Freddy can't attack him, so closing the right door is not needed.
In short, the game wants you either to watch him closely or to protect yourself if you can’t keep an eye on him. To reiterate, close the right door before using the monitor only when you're viewing (or switching to) any camera other than Cam 4B. When you're done using the monitor after looking at a different camera, open the right door after selecting Cam 4B and putting the monitor down.
Furthermore, because Freddy can't walk in if you're not using the cameras, you can idle in the office without touching the right door if you're running low on power. It doesn't matter if Chica jams the door. Just do NOT pull up the monitor. However, be sure to close the left door if you feel that Foxy may attack...unless Bonnie jams the door beforehand. Just hope for best if this happens.
You can actually get Freddy to leave Cam 4B, but he'll only go to the previous room (Cam 4A). Freddy will move back to Cam 4A while laughing if you're using the monitor on another camera and when the right door is closed (in other words, if situation #4 applies). However, because Freddy will always head right for the office, he'll just come right back to Cam 4B if you don't keep him at Cam 4A. In my opinion, it's best to just let Freddy stay at Cam 4B to avoid wasting power.
Now, if you don't know where Freddy is, but you're sure that he's not in the office, close the right door BEFORE using the cameras and look for him right away. If Chica's in Cam 4B, and you can't find Freddy anywhere else, assume that he's in Cam 4B either until Chica leaves or until he laughs.
Freddy - Part 3
Once Freddy makes it into the office, he will kill you after a short period of time if you have the monitor down. The time that he takes to kill you is completely random [12].
However, if you put the monitor up before Freddy has the chance to attack you, he will not be able to kill you. Unlike the other three animatronics, Freddy CANNOT pull the monitor down. Instead, he'll just wait until you put the monitor down yourself before killing you. Also, if he manages to jumpscare you, you can't put the monitor back up because he'll just force it down. The same applies to Foxy.
I didn't know this before, but thanks to someone on YouTube, I now know one important fact. When Freddy gets into your office, he has a 25% chance to kill you every single second [14]. Again, this is halted whenever the monitor is up. Putting the monitor back down will continue but not reset the attack timer. This timer has no upper bound, so Freddy can attack you in a single second or never. It depends on how lucky you are. That being said, most people seem to get killed by Freddy within ten seconds or so.
There is one error in reference 14. On line 2 where the page says "if "viewing" = 0 (if freddy is not viewed on any camera)," it should say, "if "viewing" = 0 (if the monitor is not up)." This line in the coding means that Freddy's attack timer comes into play ONLY when the monitor is not up, which is in accordance with what I said three paragraphs ago.
Now, let's discuss what Freddy does when the power goes out.
Stage 1
First, the emergency lights will turn on, like this:
Next, Freddy will come to the office through the West Hall (while making footsteps).
Stage 2
Freddy will then play his music while his eyes repeatedly light up.
Sometimes, Freddy will immediately start playing his music after the power goes out.
Stage 3
Freddy will stop playing his song, and the emergency lights will go out, leaving you in total darkness. At this point, the only thing you can see are the outlines of the doorways.
Freddy will then look around for the night guard while making footsteps. After a short period of time, Freddy will then attack the night guard, ending the game.
Sometimes, Freddy will attack right after the emergency lights go out.
Sadly, the only way to avoid Freddy's final jumpscare is to reach to 6AM before the jumpscare occurs. The clock stops when Freddy does his final jumpscare, so you can't reach 6AM while Freddy attacks. However, once 6AM hits, Freddy can no longer attack. You can reach 6AM during any of the aforementioned stages.
Contrary to popular belief, not moving the mouse will NOT make it less likely for Freddy to attack you [8]. How long Freddy will take to attack you is completely random. Stage 1 can range from 0-20 seconds, stage 2 can be 5, 10, 15, or 20 seconds long, and stage 3 can be 5, 10, 15, or 20 seconds long [11]. Doing the math, that means that Freddy can kill you in 10-60 seconds.
Interestingly, it's possible to see Freddy's jumpscare coming. If you move the mouse after all the lights go out, pay attention to the outlines of the doorways, shown here.
They will move while you pan the camera. If they freeze in place, you are unable to pan the camera in the office anymore. Then, Freddy will attack a second later. You can use this to predict when he will jumpscare you.
TL;DR - Close the right door before looking at any camera other than Cam 4B and do NOT run out of power. If the power goes out, pray that Freddy won't kill you before 6AM hits.
Golden Freddy
A very spooky animatronic. He's essentially a recolor of Freddy, but he's no less scary.
This animatronic isn't even worth worrying about. According to this source, he has a 1 in 100,000 chance of appearing in Cam 2B.
The Freddy poster in Cam 2B will warn you of Golden Freddy's presence. It goes through three stages that don't necessarily work in this order:
The first stage is "normal Freddy." If you see Freddy on that poster without any sort of change to his appearance, you don't need to worry. Here is a picture:
The second stage is "warped Freddy." If you see a distorted version of Freddy where he appears to rip his head apart, you still don't need to worry. This has a 1 in 100 chance of appearing, according to this source. Here is a picture:
The third stage is "Golden Freddy." If you see Golden Freddy on the poster, it means that you have summoned him accidentally and will hear a little girl's laugh. This will only happen if Bonnie isn't at Cam 2B. Start worrying when you see this picture (NOT my picture):
When the third stage occurs, putting down the monitor will cause Golden Freddy to appear in your office. (NOTE: He's always in the office. He's just invisible until he's triggered.) He will appear in a slumped position on the floor in the office, like so (again, NOT my picture):
To make him go away, simply flip the monitor up and down. He will leave as soon as you do that. If you do not use the monitor within 5 seconds, Golden Freddy will jumpscare you and crash the game, like this:
To avoid triggering his presence, simply avoid looking at Cam 2B. This may be hard for newer players who may want to look at Cam 2B to avoid Bonnie, but checking the left hall light regularly, especially whenever footstep sounds are heard, will be enough to keep the rabbit at bay.
Again, the second stage of the Freddy poster is not dangerous, but if you happen to accidentally trigger it, drop the monitor and open it again. The poster should go back to normal. Changing the cameras will not make the poster go back to normal.
Interestingly, Golden Freddy's jumpscare can also be seen at will if you type in "1-9-8-7" in the Custom Night menu, like this:
Golden Freddy will appear right after you press the "READY" button, and again, he'll crash your game. Try it if you want.
General Strategies
I decided to post a separate section for these strategies for quick access.
Here are some general strategies that can be used to beat the game's most difficult nights (Nights 3-7). Not all of them are equally effective, however. It doesn't help that the game uses RNG (random number generation) elements quite a bit.
Strategy 1
If Freddy is not in Cam 4B...
Check Freddy (wherever he is).
Check Foxy.
Check Freddy again.
Check the hall lights. Don't forget about the footstep sounds.
Repeat.
You can change up this strategy any way you wish. For example, you could check on Foxy every 3 cycles instead of every cycle. This can work because Foxy can be stunned by looking at any camera, rather than just Cam 1C. Thus, you will save a bit of power and can check the hall lights faster.
This strategy will NOT work for 4/20 mode because Freddy will move too fast for you to keep up. It will only work up to Night 6.
Strategy 2
Now, if Freddy is in Cam 4B, do NOT use the previous strategy, or else you might accidentally let him in. If he's made it to Cam 4B, you can use the following strategy:
Close the right door.
Check Foxy. Leave the monitor on Cam 1C if you haven't done so already.
Check the right hall light.
Open the right door.
Check the left hall light.
Repeat.
YouTuber BigBug used this strategy and became the first person to beat 4/20 mode. YouTuber Markiplier used a very similar tactic and became the second person to beat 4/20 mode.
However, this strategy drains your power a bit too much. DJ Sterf himself says that you waste about 10% power closing the right door before doing a camera check. Thus, I cannot recommend this strategy.
Strategy 3
An alternative strategy that saves even more power, especially when Freddy's at Cam 4B, is this.
First, switch the monitor to Cam 4B. If Freddy's already too close, close the right door before switching to Cam 4B. Then, follow these steps based on Foxy's current stage.
If Foxy is in Stage 1 or Stage 2...
Check the left hall light.
Check the right hall light.
Flip up the monitor. Do NOT get off Cam 4B.
Whenever Bonnie or Chica try to jam the doors, close both doors.
Use this opportunity to check on Foxy in Pirate Cove. Then, switch back to Cam 4B.
Open the doors again after checking for Bonnie and Chica.
Flip up the monitor.
Repeat the process.
If Foxy is in Stage 3...
Check the left hall light.
Check the right hall light.
Flip up the monitor. Do NOT get off Cam 4B.
Close both doors and check on Foxy every 5 cycles of steps 1-3. Then, switch back to Cam 4B.
Open the doors again after checking for Bonnie and Chica.
Flip up the monitor.
Repeat the process.
On Nights 6-7, you will have to flip up the monitor in between checking each hall light to keep Foxy away for a longer period of time.
In the community, this technique is known as "camera-stalling." YouTubers Kevin Kevin, MrBuu423, Bagel the Bagel, and DJ Sterf used variations of this tactic to beat 4/20 mode.
"Camera-stalling" is a technique where the monitor is used to prevent an animatronic from jumpscaring the player or from moving from its current location.
Remember that simply using the monitor slows Foxy down, so we don't need to get off Cam 4B to stun him. This also prevents Freddy from coming into the office and killing us, even when the right door is open, saving us some power. Additionally, to save even more power, if Foxy is in Stage 1 or Stage 2, we check on him only when someone tries to jam the door. If Foxy is in Stage 3, however, we'll have to check on him more often (every 5 cycles or so is enough).
Alternatively, you could stay on Cam 1C to watch Foxy more closely, and then you could switch to Cam 4B only when Freddy arrives in the East Hall Corner. This won't work in Night 7, however, as Freddy will move to Cam 4B really fast.
Strategy 4
There's an even better way to save power.
Essentially, execute strategy 3, but ignore step 2 in both forms of the strategy by checking only the left hall light. You can do this because Chica will ALWAYS show up in Cam 4B before she tries to attack, and her image on the camera feed replaces Freddy's image when both are in the same room, so you'll always see her coming. Whenever Chica causes static to appear after being in Cam 4B, then you can check the right hall light for her. She may or may not have advanced to the right door.
One important thing to note is that you must check the cameras frequently enough. It's very easy to let Chica jam the right door if you're not paying enough attention on the monitor. This has happened to some people.
Nonetheless, this strategy saves even more power than strategy 3 because you're using only one hall light instead of two. DJ Sterf used this strategy to finish 4/20 mode with 13% power left [6]. This is actually the world record right now.
Conclusion
Strategy 3 will save quite a bit of power, so I recommend this one. Strategy 4 is even better, but you'll have to be even more careful with Chica. Strategy 2 can work, but you would have to be really careful with your power usage. Strategy 1 is good, but once again, it will only work up to Night 6.
You can even alter or combine these strategies if you wish. Do what works for you.
How fast these strategies must be executed depends on the difficulty of the night. For Nights 3-4, you don't need to be that fast. (Don't be too slow, though.) For Nights 5-6, you'll need to be fairly fast. For Night 7 (a.k.a. 4/20 mode), you'll need to be really fast.
Did you get all of that? Good. Then, let's get right into the game nights!
Night 1
Now, let's start a new game.
To get started, simply click on the option you want. Alternatively, you can use the arrow keys and the Enter key to make your selection.
Upon starting a new game, you will see this screen:
Once the job ad disappears, the first night will commence. Click on the screen or press the Enter key or the Escape key to make the job ad disappear faster.
Welcome to your first night at Five Nights at Freddy's! Are you ready for the graveyard shift? If so, let's start!
Difficulty: Easy
The first night is by far the easiest in the game as the animatronics will not be very active.
By the way, I've decided to post the general strategies for beating all nights in the "General Strategies" section. I did this because I didn't want to make the sections about the nights too long. Be sure to read that section whenever you can.
Upon starting the game, a recorded message on the phone will play after a few seconds. This character's name is "Phone Guy," and he'll tell you a bit about the pizzeria. He'll also give you a few tips on how to survive the night. Listen carefully to his message if you want to beat this game.
Phone Guy will call you on Nights 1-4, and someone else will call you on Night 5. Nights 6 and 7 don't have phone calls.
If you don't want to listen to any of these phone calls, you can mute them by pressing the "Mute Call" button that shows up in the upper left corner of the screen.
You only have about 20 seconds to do this before the button disappears, forcing you to listen to the entire call.
Again, the animatronics are only slightly active, but they are still a threat. Bonnie is the biggest threat on Night 1 as he is the most active. Chica is the second most active on this night. Both characters are very capable of coming to your door before 6AM, so watch out for them.
Freddy will never move on this night, so you do not need to worry about him at all. If you want, you can look at the show stage to check on him.
Foxy isn't very active but can still attack. If you don't use the cameras at all (or very little), Foxy may attack at around 4AM or 5AM. To avoid this, just check Pirate's Cove at least several times every hour (maybe every 10-15 seconds or so).
You can listen to Phone Guy's message (which lasts until about 2AM) without worrying about the animatronics because no one will move until 2AM at the earliest [8][12]. You can use this time to familiarize yourself with the controls. However, you can get away with this only on Night 1 as the animatronics will be quite active during the phone calls on all the other nights.
In any case, keep an eye on Foxy with the cameras and check the hall lights for Bonnie and Chica whenever you hear footstep sounds. For added safety, check the hall lights before and after you use the monitor. Do these things, and Night 1 is easily beaten.
You may also take this time to use the monitor to study Bonnie's, Foxy's, and Chica's movements.
If you want, you could simply close the left door for the whole night to protect yourself against Foxy, but I wouldn't recommend doing this until after Phone Guy has finished talking (or, for those who muted his call, until 2AM). If you close the left door the moment the night starts, you may still be able to survive, but you'll run out of power far too soon.
Anyway, once you close the left door, you don't need to worry about the right door. Even if Chica jams the door, you'll be fine if you don't touch the monitor. Freddy is, once again, not active, and even if he is, he can't come in if you're simply looking at the office.
If you don't want to use that method either, you can close both doors once 5AM or even 4AM hits, provided that you have a lot of power left.
Occasionally, you may see flashing images of Bonnie and Freddy with the text "IT'S ME". These are called hallucinations, and they will display on the screen randomly [8]. They mean nothing and are only here to scare you, so just ignore them.
Once the clock hits 6AM on this night (and any other night), you will get a screen in which the clock changes from 5AM to 6AM, like so:
If you get this screen, then congratulations! You beat the first night! Every time you complete a night, you unlock the next night.
Now, can you handle the rest of the nights? If so, let's head to Night 2!
Night 2
Difficulty: Easy
This night is considerably more difficult than the first night, but it's still quite easy.
Phone Guy will call again at the beginning of the night and will tell you a bit about Foxy's and Freddy's mechanics this time. Do note that Phone Guy says that Foxy becomes more active only when the cameras aren't being used, not that Foxy will become more active if you use the cameras too much. This is, once again, a common misconception. Just don't stay off the cameras for too long, and Foxy will not progress through his stages as fast.
Phone Guy will also warn you that the animatronics may move while he's talking on the phone, so pay attention to your surroundings while he talks.
Freddy still won't move from the Show Stage, but the other three robots will try to attack you more frequently. Still, the procedure for warding off the animatronics is the same. Check the hall lights whenever you hear footstep sounds, and check on Foxy regularly. Because Night 2 is harder than Night 1, you'll have to check on Foxy more often.
I wouldn't recommend closing the left door for the whole night. However, if you're at 4AM or 5AM with a lot of power, either you can close the left door and not use the monitor, or you can close both doors. It's your call.
Night 3
Difficulty: Medium
Night 3 is not that much harder than Night 2, but it is where things start getting interesting.
Phone Guy himself even says this in his call. He will also tell you that if you get caught by one of the animatronics, you could try "playing dead" to fool them into thinking that you're just an empty costume. However, he also mentions that even if you try that, the robots might try to put a metal endoskeleton into you, so it's better not to get caught in the first place.
And, this is where another misconception comes in. I cannot stress this enough, but playing dead when the power's out and when Freddy's about to kill you will do absolutely nothing. The only reason it seems that way is because the time it takes Freddy to kill you during a power outage is entirely random. There's nothing in the code that can prevent Freddy from killing you whenever he wants, unless 6AM hits before he gets the chance to do so.
Anyway, Night 3 is going to be more difficult because Freddy will now become completely active (though he's still a bit slow compared to Nights 4-6). I've been fortunate to have him come to Cam 4B only once on Night 3, but other people haven't been as lucky as me. In other words, Freddy can very much kill you on this night, so you'll have to keep an eye on him.
Either you can keep Freddy from coming to Cam 4B by watching him on the monitor every few seconds, or you can freeze him at Cam 4B. Both strategies work well. Just remember not to view or switch to another camera while Freddy's in Cam 4B unless the right door is closed first.
If you have no idea where Freddy is, but you're sure that he's not in the office, just close the right door until you can find him on the cameras. If you need more help on finding and dealing with Freddy, check out the "Freddy" section of this guide.
Additionally, the other animatronics will show up at your door more often. Fortunately, they can still be countered with the same procedure for the other two nights. You'll just have to be faster here.
Once more, if you're pretty good on power, and it's 4AM or 5AM, either you can close the left door and not use the monitor, or you can close both doors. This will probably be the last night where you can get away with doing this. Nights 4-7 are relatively tough.
Follow these tips, and Night 3 will be complete.
Night 4
So, you've made it to the fourth night! Congratulations! This is good news.
Sadly, Phone Guy's call during this night is the last call he will ever make to you. During his last message, he is (presumably) killed by Freddy (or Golden Freddy--who knows?). Poor man.
No time to grieve during this night, though! We must press on!
Difficulty: Medium
Night 4 is just a somewhat harder version of Night 3. It's still very much beatable, however. Continue to use the same strategy for everyone, but be faster this time.
Freddy is even more active than before and will most likely reach Cam 4B before the night ends. Once he arrives at Cam 4B, remember to close the right door every time you want to check a different camera.
Anyway, Night 4 is probably the last night where you aren't likely to run out of power if you're careful. You may even finish with over 10% power left.
Unfortunately, Nights 5 and 6 are a whole different story.
Night 5
The phone call at the beginning is from a mysterious entity. Some demonic voice will spout some random gibberish before hanging up the phone.
This message means nothing, though. It seems to be just some backwards distorted version of some text from a random book, but that's not confirmed to be true. If you want to know more about this, look here[freddy-fazbears-pizza.wikia.com].
Anyway, let's talk about Night 5.
Difficulty: Hard
Night 5 is going to be fairly tough, but it's not unbeatable. The same tactics for Nights 3 and 4 still apply here, but you'll have to be even faster and more vigilant.
This may be the first night where you may actually lose power despite playing carefully. This night may even take you a few tries. If you happen to fail a few times, don't give up. You will beat it.
Upon completing the night, you will be presented with your first paycheck!
Congratulations! You beat the first five nights of the game! You'll earn a star on the main menu screen, and you'll also have access to Night 6 on the menu.
Night 6
Wow! You made it to Night 6! Now, get ready for a challenge!
Difficulty: Hard
Night 6 actually isn't that bad compared to 4/20 mode (Night 7). Night 6 is indeed hard but consistently beatable.
All the animatronics are more aggressive than ever before, but the biggest problem here is Foxy. Foxy will be much more active this time, so you'll have to check the cameras much more frequently to prevent him from draining your power.
If you want a specific battle plan, I've posted strategies for Nights 3-7 in the "General Strategies" section. For Night 6, I strongly recommend strategies 1 and 3. Strategy 4 is good, but it is not necessary since the animatronics don't move as fast in Night 6 as they do in Night 7. Strategy 2 can work, but it is not optimal.
Like Night 5, Night 6 may take you a few tries, but you can do it!
Upon completing the night, you will be presented with another paycheck for overtime work!
An extra fifty cents. Wow. At least the picture has a slightly different color.
Beating this night will earn you a second star on the main menu. You will also have access to the final night in the game, labeled "Custom Night" in the main menu.
Now, are you ready for the hardest night in the game? Here we go....
Night 7 (a.k.a. "4/20 mode")
Welcome to the 7th Night! Through your hard work and perserverance, you have made it this far. Congratulations!
However, there's still one more challenge that the game would like you to do.
Starting the 7th Night, also known as "Custom Night" in the main menu, will take you to a different menu. Here, you can control the AI level of any of the animatronics. Here's a screenshot of the default level selections:
Play around with the settings if you want. Just don't type in the numbers 1, 9, 8, and 7 in that order unless you want Golden Freddy to jumpscare you.
"4/20 mode" or "20/20/20/20 mode" is the highest difficulty of any night. This mode is often simply called "Night 7," though Night 7 can be of any difficulty.
This mode is not scary because it is nothing more than a speed test. Every robot is extremely aggressive, but your only major issue here is Foxy, who can steal your power if you can't keep up with him. You need every bit of power if you want to beat this mode, so try not to let Foxy attack more than once.
Fortunately, I have listed strategies in the "General Strategies" section that are effective. For Night 7, I strongly recommend strategies 3 and 4. Strategy 2 requires a lot more power management than necessary, and strategy 1 will not work at all.
Do note that this game has a luck component, so you may do everything right but still run out of power and lose. Still, I believe that you can do it. Don't give up.
In any case, if you're ready for 4/20 mode, crank up everyone's settings to level 20 and press the "READY" button at the bottom right corner of the screen. Good luck!
Upon defeating the night, you will receive a nice little piece of paper:
Oh, screw them, then. You wouldn't want to work here, anyway.
Anyway, once this screen disappears, you'll get your third and final star on the menu.
Congratulations! You beat the entire game! Well done!
Conclusion
Thanks for reading the guide! I hope it was useful, though it was pretty long, heh.
I don't know if I'll ever do any other guides on the FNAF games, especially since I have yet to beat the most difficult nights of every other FNAF game. Who knows? Maybe I'll beat them someday.
I welcome any positive feedback and corrections. My guide would be even better with those in mind.
I would like to thank MrBuu423 (YouTube), Zanarathas, Bagel the Bagel (YouTube), Kevin Kevin (YouTube), DJ Sterf (YouTube), BigBug (YouTube), Markiplier (YouTube), Combine11 (Reddit), and Boxfigs (Reddit) for the strategies and interesting information for the game!
Anyway, see you later!
References
BigBug defeating 4/20 mode first
Markiplier defeating 4/20 mode second
Kevin Kevin's strategy for beating 4/20 mode
MrBuu423's strategy for beating 4/20 mode
Bagel the Bagel's strategy for beating 4/20 mode
DJ Sterf beating 4/20 mode with 13% power remaining
Me defeating 4/20 mode
Combine11's reddit thread on the game's mechanics
Combine11's list of AI levels for each night[pastebin.com]
BoxFigs's reddit thread on the game's mechanics
BoxFigs's page of various screenshots and explanations of the game's programming[imgur.com]
BoxFigs's page of the game's programmed objects[pastebin.com]
BoxFigs's page of the game's programmed audio[pastebin.com]
SuperSOul's page on Freddy's mechanics in the office[pastebin.com]
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52 Comments
bananaslug876 Nov 20 @ 11:51am
how do i know when freddy leaves cam 4b? does he just stay there forever or does he make another laugh when he leaves?
Jenkis Oct 28 @ 10:33am
https://steamcommunity.com/sharedfiles/filedetails/?id=1438217374
Jenkis Oct 27 @ 9:42pm
i am reading this when im playing the five night's at freddy's game
The Milk Man Sep 1 @ 9:19pm
why is it useful to check on freddy before he reaches cam 4B? i feel like staying on the camera gives the animatronics and easier time getting to the office
Ben Aug 31 @ 7:38am
I AIN'T READIN ALLAT
froststar Aug 29 @ 10:14am
im not reading all dat
See_eyeSSSSS Aug 24 @ 12:29am
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GraeNukem Jul 19 @ 9:55am
Good guide, helped me beat the game a lot.
vmkdiablo Jul 11 @ 11:50am
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Cleano. Jun 28 @ 10:25am
this could have been shortened down to 3 letter
c + d + +
< >
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|
72345adc6bffcb6865cf7a196b90e05f
|
{
"intermediate": 0.34277382493019104,
"beginner": 0.3763287365436554,
"expert": 0.28089743852615356
}
|
33,770
|
write a c# script for a 2d game that makes a laser spawn and circle around the boss randomly that lasts for 3 seconds
|
6b4f4da871c6d4c72af893580099ebbb
|
{
"intermediate": 0.34927234053611755,
"beginner": 0.3278034031391144,
"expert": 0.32292425632476807
}
|
33,771
|
预测模型解释变量未知的案例
|
c7665fe23a1942f99d3956055481c5f0
|
{
"intermediate": 0.3227483034133911,
"beginner": 0.2938520014286041,
"expert": 0.3833996653556824
}
|
33,772
|
N = int(input())
M = int(input())
if 1 < N < 10000 and 1 < M < 10000:
a = int(N // 2)
b = int(M // 2)
if N % 2 == 0:
print(a * M)
else:
print(a * M + b)
else:
print("error")出现runtimeerror
|
5db680ae01eeab434b5e474cf238a5d8
|
{
"intermediate": 0.22519002854824066,
"beginner": 0.62656569480896,
"expert": 0.14824426174163818
}
|
33,773
|
i have a bunch of dark object on white background. write a python script that cuts off each one of them and saves as different images. cut only object that are more than 100 pixels. dont cut them right from pixel to pixel, leave a little white space around each object
|
365fc7f4d65e2445a15832ed5f80e057
|
{
"intermediate": 0.38749828934669495,
"beginner": 0.21829980611801147,
"expert": 0.39420193433761597
}
|
33,774
|
write a c# script for a 2d game where the boss will Enable the laser game object randomly. The laser will spin in a circle (spin on z axis). if the laser collides with the player it will take 3 health away
|
c434e76d0db34b6c8bbfc5fed8bfccfd
|
{
"intermediate": 0.37877652049064636,
"beginner": 0.26853081583976746,
"expert": 0.3526926636695862
}
|
33,775
|
Give me a comprehensive table of 50 different methods to earn money through blogging about different niches and including affiliate links to earn a profit.
# Output Format Example
|
e7c77ae7c895468473e54c5b57f9eb83
|
{
"intermediate": 0.2844776213169098,
"beginner": 0.4148518443107605,
"expert": 0.3006705343723297
}
|
33,776
|
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
public class BossAttack3 : MonoBehaviour
{
public GameObject laserPrefab; // Reference to the laser prefab
public float minInterval = 5f; // Minimum interval between laser activations
public float maxInterval = 10f; // Maximum interval between laser activations
private bool isLaserActive = false;
void Start()
{
// Start the laser activation loop
StartCoroutine(ActivateLaser());
}
IEnumerator ActivateLaser()
{
while (true)
{
// Check if laser is already active
if (!isLaserActive)
{
// Generate a random activation delay
float activationDelay = Random.Range(minInterval, maxInterval);
// Waiting for the activation delay
yield return new WaitForSeconds(activationDelay);
// Instantiate the laser prefab
GameObject laser = Instantiate(laserPrefab, Vector3.zero, Quaternion.identity);
laser.transform.parent = transform; // Set the boss as the parent
// Relative position of the laser to the boss
Vector3 relativePosition = new Vector3(3.27f, 0.7f, 0f);
// Set the laser position relative to the boss’s position
laser.transform.localPosition = relativePosition;
// Set the laser as active
isLaserActive = true;
// Destroy the laser after 3 seconds
Destroy(laser, 3f);
// Delay for 3 seconds (duration of the barrier)
yield return new WaitForSeconds(3f);
// Set the barrier as inactive
isLaserActive = false;
}
yield return null;
}
}
}
make it so while the laser is active it is spinning on the z axis
|
c7300f0e148ecdee46e2caceee1ba3cb
|
{
"intermediate": 0.34283286333084106,
"beginner": 0.45206862688064575,
"expert": 0.205098494887352
}
|
33,777
|
write a bash script to find x of ip address 10.0.x.4
|
df1f7ec8242599a10877729262981643
|
{
"intermediate": 0.35160398483276367,
"beginner": 0.28728604316711426,
"expert": 0.36110997200012207
}
|
33,778
|
;; local-design-quiz.rkt
; Problem 1:
;
; Suppose you have rosters for players on two opposing tennis team, and each
; roster is ordered by team rank, with the best player listed first. When both
; teams play, the best players of each team play one another,
; and the second-best players play one another, and so on down the line. When
; one team has more players than the other, the lowest ranking players on
; the larger team do not play.
;
; Design a function that consumes two rosters, and produces true if all players
; on both teams will play if the teams play each other.
; No marks will be given to solution that do not use a cross product table.
;
;; Player is String
;; interp. the name of a tennis player.
(define P0 "Maria")
(define P2 "Serena")
#;
(define (fn-for-player p)
(... p))
;; Roster is one of:
;; - empty
;; - (cons Player Roster)
;; interp. a team roster, ordered from best player to worst.
(define R0 empty)
(define R1 (list "Eugenie" "Gabriela" "Sharon" "Aleksandra"))
(define R2 (list "Maria" "Nadia" "Elena" "Anastasia" "Svetlana"))
#;
(define (fn-for-roster r)
(cond [(empty? r) (...)]
[else
(... (fn-for-player (first r))
(fn-for-roster (rest r)))]))
(define-struct match (p1 p2))
;; Match is (make-match Player Player)
;; interp. a match between player p1 and player p2, with same team rank
(define M0 (make-match "Eugenie" "Maria"))
(define M1 (make-match "Gabriela" "Nadia"))
#;
(define (fn-for-match m)
(... (match-p1 m) (match-p2 m)))
;; ListOfMatch is one of:
;; - empty
;; - (cons Match ListOfMatch)
;; interp. a list of matches between one team and another.
(define LOM0 empty)
(define LOM1 (list (make-match "Eugenie" "Maria")
(make-match "Gabriela" "Nadia")))
#;
(define (fn-for-lom lom)
(cond [(empty? lom) (...)]
[else
(... (fn-for-match (first lom))
(fn-for-lom (rest lom)))]))
|
fb8153c04a61b46fa960df718657d52c
|
{
"intermediate": 0.347615510225296,
"beginner": 0.3585056960582733,
"expert": 0.29387879371643066
}
|
33,779
|
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
public class Barrier : MonoBehaviour
{
public GameObject barrierPrefab; // Reference to the barrier prefab
public float minInterval = 5f; // Minimum interval between barrier activations
public float maxInterval = 10f; // Maximum interval between barrier activations
private bool isBarrierActive = false;
void Start()
{
// Start the barrier activation loop
StartCoroutine(ActivateBarrier());
}
IEnumerator ActivateBarrier()
{
while (true)
{
// Check if barrier is already active
if (!isBarrierActive)
{
// Generate a random activation delay
float activationDelay = Random.Range(minInterval, maxInterval);
// Waiting for the activation delay
yield return new WaitForSeconds(activationDelay);
// Instantiate the barrier prefab
GameObject barrier = Instantiate(barrierPrefab, Vector3.zero, Quaternion.identity);
barrier.transform.parent = transform; // Set the boss as the parent
// Relative position of the barrier to the boss
Vector3 relativePosition = new Vector3(3.27f, 0.7f, 0f);
// Set the barrier position relative to the boss’s position
barrier.transform.localPosition = relativePosition;
// Set the barrier as active
isBarrierActive = true;
// Destroy the barrier after 3 seconds
Destroy(barrier, 3f);
// Delay for 3 seconds (duration of the barrier)
yield return new WaitForSeconds(3f);
// Set the barrier as inactive
isBarrierActive = false;
}
yield return null;
}
}
}
make it so when the barrier is active the boss is invincible
|
478f0a8d6bfda1d32ea85b816b37942f
|
{
"intermediate": 0.3533386290073395,
"beginner": 0.44009047746658325,
"expert": 0.20657090842723846
}
|
33,780
|
hi there
|
0b269e3c0a27995f4be974a2bba31ceb
|
{
"intermediate": 0.32885003089904785,
"beginner": 0.24785484373569489,
"expert": 0.42329514026641846
}
|
33,781
|
this is my code:
#!/usr/bin/env nextflow
nextflow.enable.dsl=2
process INDEX {
input:
file(fasta)
output:
path(bwa)
script:
def prefix = task.ext.prefix ?: "${fasta.baseName}"
def args = task.ext.args ?: ''
"""
mkdir bwa
bwa \\
index \\
$args \\
-p bwa/${prefix} \\
$fasta
"""
}
process DEDUP {
debug true
cpus 10
input:
path(idx)
tuple val(sample), file(reads)
output:
tuple val(sample), path("${sample}.dedup.bam"), emit: dedup_bam
script:
"""
echo ${sample}
INDEX=`find -L ./ -name "*.amb" | sed 's/\\.amb\$//'`
bwa mem \$INDEX ${reads} -t ${task.cpus} | \\
samtools view -b | samtools sort --threads 5 -o ${sample}.bam \\
&& picard MarkDuplicates -I ${sample}.bam -O ${sample}.dedup.bam \\
-M metrics.txt --REMOVE_DUPLICATES true && \\
samtools index ${sample}.dedup.bam
rm ${sample}.bam
"""
}
process CONSENSUS {
publishDir "${out}/${sample}", mode: 'copy'
debug true
input:
path(genelist)
path(db)
tuple val(sample), path(bam)
path fasta
val out
output:
path(sample)
script:
"""
mkdir ${out}/${sample}
mkdir ${sample}
for gene in \$(cat ${genelist}); do
COORDS=\$(awk -F'\t' '{print \$5}' <(grep -w "\$gene" ${db}))
samtools view -b ${bam} \$COORDS | \\
samtools sort -o \$gene.bam && \\
samtools index \$gene.bam && \\
bcftools mpileup -Ou -f ${fasta} \$gene.bam > \$gene.bcf
bcftools call --ploidy 1 -m \$gene.bcf -Oz -o \$gene.vcf.gz && \\
tabix \$gene.vcf.gz && \\
samtools faidx ${fasta} \$COORDS | \\
bcftools consensus \$gene.vcf.gz > ${sample}/\$gene.fa
rm \$gene.bam \$gene.bam.bai \$gene.bcf \$gene.vcf.gz \$gene.vcf.gz.tbi
done
"""
}
workflow {
fasta = Channel.fromPath(params.fasta)
fastqs = Channel.fromFilePairs("${params.dir}/*_{1,2}.fastq*.gz")
genelist = Channel.fromPath(params.genelist)
db = Channel.fromPath(params.db)
out = file(params.out)
out.mkdir()
idx = INDEX(fasta)
bam = DEDUP(idx, fastqs)
// CONSENSUS(genelist, db, bam, fasta, out)
}
and this is my ./samples dir:
ls -lh ../samples/
total 1.7G
-rw-r--r--. 1 alejandro alejandro 138M Dec 2 23:47 SRR6170145_1.fastq.gz
-rw-r--r--. 1 alejandro alejandro 149M Dec 2 23:48 SRR6170145_2.fastq.gz
-rw-r--r--. 1 alejandro alejandro 141M Dec 4 00:09 SRR6170205_1.fastq.gz
-rw-r--r--. 1 alejandro alejandro 131M Dec 4 00:10 SRR6170205_2.fastq.gz
-rw-r--r--. 1 alejandro alejandro 261M Dec 4 00:04 SRR6170260_1.fastq.gz
-rw-r--r--. 1 alejandro alejandro 277M Dec 4 00:06 SRR6170260_2.fastq.gz
-rw-r--r--. 1 alejandro alejandro 139M Dec 4 00:15 SRR6170338_1.fastq.gz
-rw-r--r--. 1 alejandro alejandro 147M Dec 4 00:16 SRR6170338_2.fastq.gz
-rw-r--r--. 1 alejandro alejandro 142M Dec 4 00:17 SRR6170513_1.fastq.gz
-rw-r--r--. 1 alejandro alejandro 151M Dec 4 00:21 SRR6170513_2.fastq.gz
why the workflow is running just for 1 sample???
nextflow run main.nf --fasta ../ref_genome/GCF_000017985.1_ASM1798v1_genomic.fna --genelist ../supp/genes.txt --db ../supp/REL606_ESSENTIAL_DB.txt --dir ../samples --out ./consensus (base) ✔ 00:36:48
N E X T F L O W ~ version 23.10.0
Launching `main.nf` [voluminous_descartes] DSL2 - revision: c24dd9d1cb
executor > local (2)
[f1/3f0b5a] process > INDEX (1) [100%] 1 of 1 ✔
[6a/22b3ca] process > DEDUP (1) [100%] 1 of 1 ✔
SRR6170145
Completed at: 04-Dec-2023 00:38:33
Duration : 1m 37s
CPU hours : 0.3
Succeeded : 2
|
0e32806ff44b914c83af499aaa68f065
|
{
"intermediate": 0.43580979108810425,
"beginner": 0.3988192677497864,
"expert": 0.16537092626094818
}
|
33,782
|
// TODO：放到配置文件
const static std::map<int, std::string> kLabelMap = {{1, "CAR"},
{2, "TRUCK"},
{3, "VAN"},
{4, "BUS"},
{5, "CYCLIST"},
{6, "MOTORCYCLIST"},
{7, "TRICYCLIST"},
{8, "PEDESTRIAN"},
{9, "TRAFFICCONE"},
{10, "UNKNOWN_UNMOVABLE"},
{11, "UNKNOWN_MOVABLE"},
{12, "TRICYCLIST"},
{13, "CAT"},
{14, "DOG"},
{15, "TRAFFICCONE"},
{16, "SAFETY_TRIANGLE"},
{17, "RESERVE3"},
{18, "RESERVE2"},
{19, "RESERVE1"},
{0, "UNKNOWN"}}; 如何把这个放入配置文件调用
|
c6ebcd2f2e0d4b7ff1bc363bdd51de7d
|
{
"intermediate": 0.379635751247406,
"beginner": 0.38681545853614807,
"expert": 0.23354874551296234
}
|
33,783
|
remove all element in list by value
|
8bd24b8332caec9f444c32f702ae22a0
|
{
"intermediate": 0.42338383197784424,
"beginner": 0.2638358175754547,
"expert": 0.3127804100513458
}
|
33,784
|
If the uplink frequency is fu = 890 MHz, calculate the downlink frequency (fd).
|
a52224d1ca89887950810a5316d938e5
|
{
"intermediate": 0.4287847578525543,
"beginner": 0.2700362801551819,
"expert": 0.3011789321899414
}
|
33,785
|
#PCA of Greenhouse gas emission:
import pandas as pd
import numpy as np
from sklearn.decomposition import PCA
from sklearn.pipeline import make_pipeline
from sklearn.model_selection import GridSearchCV
data = pd.read_csv('mydataset.csv')
df = data[['Year','GDP(Bil.Yuan)','POP(Mil.person)','GHG(Mil.ton)','power generation(TWh)','Primary energy production(MTCE)','Final energy consumption(MTCE)']]
X = df.drop(columns=['GHG(Mil.ton)'])
y = df['GHG(Mil.ton)']
X = X.dropna()
X = X.apply(lambda x: (x - np.mean(x)) / np.std(x))
Y = (y - np.mean(y)) / np.std(y)
pca = PCA()
param_grid = {'pca__n_components': [1, 2, 3, 4, 5]}
KAYA = make_pipeline(pca)
grid_search = GridSearchCV(KAYA, param_grid=param_grid, cv=5)
grid_search.fit(X)
n_best = grid_search.best_params_
kaya = PCA(n_components=n_best)
principal_components = kaya.fit_transform(X)
print('best_n:',n_best)
print(kaya.explained_variance_ratio_)
print(pd.DataFrame(principal_components, columns=['PC1', 'PC2','PC3','PC4']))
InvalidParameterError: The 'n_components' parameter of PCA must be an int in the range [0, inf), a float in the range (0, 1), a str among {'mle'} or None. Got {'pca__n_components': 1} instead.
|
eb8c26716fc1ce138a32499a52c354b8
|
{
"intermediate": 0.294221967458725,
"beginner": 0.38378533720970154,
"expert": 0.3219926953315735
}
|
33,786
|
import React from "react"
import styled from "styled-components"
import { useState, useEffect } from "react"
import { useUser } from "../User/UserContext";
import { useTripPlan } from "../User/TripContext";
import { Timestamp, addDoc, collection, doc, getDocs, orderBy, query, updateDoc, where } from "firebase/firestore";
import { firestore } from "../User/firebase";
interface TripPlanData {
id?: string;
uid?: string;
tripTitle?: string;
tripPlan?: string;
userPhoto?: string;
nickname?: string;
area?: string;
}
interface MessageData {
created_at: string;
id: string;
message: string;
roomId: string;
uid: string;
}
interface ChattingRoomProps {
roomId: string;
}
const ChattingRoom: React.FC<ChattingRoomProps> = ({ roomId }) => {
const userContext = useUser();
const tripPlanContext = useTripPlan();
const [tripPlan, setTripPaln] = useState<TripPlanData[]>([]);
const [messages, setMessages] = useState<MessageData[]>([]);
const [inputMessage, setInputMessage] = useState("");
const [modal, setModal] = useState(false);
const sendButtonClick = async (message: string) => {
if(userContext){
const MessageData = {
id:'',
roomId: roomId,
uid: userContext.uid,
message: message,
created_at: Timestamp.now(),
};
//마지막 메세지 update 구현하기!
console.log('RoomId'+roomId);
try{
const MessageCollection = collection(firestore, 'Message');
const newMessageRef = await addDoc(MessageCollection, MessageData);
const MessageRef = doc(firestore, 'Message', newMessageRef.id);
const updatedMessage = {
id: MessageRef.id,
};
await updateDoc(MessageRef, updatedMessage);
console.log('RoomId'+roomId);
alert('메세지 성공적으로 추가');
} catch(error){
alert('메세지 추가 중 오류 발생: '+error);
}
}
}
useEffect(() => {
const fetchChattingRoomData = async () => {
try {
const MessagesQuery = query(
collection(firestore, 'Message'),
where('roomId', '==', roomId),
// orderBy('created_at', 'asc')
);
const messagesSnapshot = await getDocs(MessagesQuery);
const messagesData: MessageData[] = messagesSnapshot.docs.map(doc => ({
id: doc.id,
...doc.data()
} as MessageData));
setMessages(messagesData);
} catch (error) {
console.error('Error fetching data:', error);
}
};
fetchChattingRoomData();
}, [userContext, roomId, tripPlanContext]);
return(
<Room>
{tripPlan.map((trip) => (
<div key={trip.id}>
<RoomHeader>
<ImageBox>
<Img src="/User_Image/Profile_Blue.jpg"/>
<OtherImg src = "/User_Image/Profile_Purple.jpg"/>
</ImageBox>
<ChattingTitle>{trip.tripTitle}</ChattingTitle>
</RoomHeader>
<ChattingPlan onClick={()=>setModal(!modal)}>{trip.tripPlan}</ChattingPlan>
{
modal == true ? <Modal>{trip.tripPlan}</Modal> : null //기계역할
}
</div>
))}
<ImgChat>
<UserImg src = "/User_Image/Profile_Blue.jpg" />
</ImgChat>
{messages?.map((messageData) => (
<ChatBubble key={messageData.id} isMine={messageData.uid === userContext?.uid} >
<div>
<p>{messageData.uid}</p>
<p>{messageData.message}</p>
</div>
</ChatBubble>
))}
<ChattingInput
type="text"
value={inputMessage}
onChange={(e) => setInputMessage(e.target.value)}
placeholder="메시지를 입력하세요."
/>
<Send onClick={() => sendButtonClick(inputMessage)}>
<SendFont>전송</SendFont>
</Send>
</Room>
);
}
const Room = styled.div`
width: 390px;
height: 100%;
background-color: white;
margin-top: 70px;
`;
const RoomHeader = styled.div`
display: flex;
width: 390px;
height: 80px;
background-color: #B4D8E7;
`;
const Img = styled.img`
position: relative;
width: 35px;
height: 35px;
margin-left : 9px;
margin-top: 8px;
border-radius: 17px;
`;
const OtherImg = styled.img`
position: relative;
width: 35px;
height: 35px;
margin-left : 37px;
margin-top: -7px;
border-radius: 17px;
`;
const ImageBox = styled.div`
display: flex;
flex-direction: column;
`;
const ChattingTitle = styled.p`
margin-top: 31px;
margin-left: 15px;
font-size : 22px;
font-weight: bold;
`;
const ChattingPlan = styled.div`
width: 350px;
height: 45px;
margin-left: 15px;
margin-top: 35px;
font-weight: bold;
word-break:break-all;
overflow:hidden;
text-overflow:ellipsis;
padding : 0.5px 2px 0px 3px;
background-color: lightgray;
border-radius: 17px;
`;
const ImgChat = styled.div`
display: flex;
margin-top: 20px;
`;
const UserImg = styled.img`
width: 50px;
height: 50px;
border-radius: 25px;
margin-left: 15px;
`;
const ChatBubble = styled.div<{ isMine: boolean }>`
display: flex;
width: 270px;
padding: 8px;
border-radius: 25px;
& > div {
background-color: ${({ isMine }) => (isMine ? 'lightblue' : 'lightgray')};
align-self: ${({ isMine }) => (isMine ? 'flex-end' : 'flex-start')};
}
`;
const ChattingInput = styled.input`
position: fixed;
width: 260px;
height: 100px;
word-break:break-all;
bottom: 0;
margin : 0 0 30px 60px;
border-radius: 30px;
border : 1px solid #0160D6;
`
const Send = styled.button`
position : fixed;
width: 45px;
height: 35px;
bottom: 0;
margin: 0 0 30px 330px;
border-radius: 15px;
background-color: #0160D6;
`
const SendFont = styled.p`
font-size: 12px;
font-weight: bold;
color: #ffffff;
`
const Modal = styled.div`
display: flex;
width: 100%;
height: 150px;
margin-top: 20px;
padding: 20px;
word-break:break-all;
overflow:hidden;
text-overflow:ellipsis;
background-color: lightblue;
text-align: left;
`
const MyChatting = styled.div`
display: flex;
justify-content: center;
margin: 30px 50px 0px 50px;
width: 300px;
height: 50px;
padding: 8px;
border-radius: 25px;
background-color: lightgray ;
`;
export default ChattingRoom;
이렇게 코드를 만들었는데 왼쪽 오른쪽에 사용자별로 뜨지않고, 채팅하나하나의 색이 들어가지않고 만들어진 순서대로 출력되지않아. 위 코드를 기반으로 코드만들어줘
|
68b625960211cdf60b941935a79e0b8e
|
{
"intermediate": 0.42514392733573914,
"beginner": 0.3610977530479431,
"expert": 0.21375833451747894
}
|
33,787
|
import React from "react"
import styled from "styled-components"
import { useState, useEffect } from "react"
import { useUser } from "../User/UserContext";
import { useTripPlan } from "../User/TripContext";
import { Timestamp, addDoc, collection, doc, getDocs, orderBy, query, updateDoc, where } from "firebase/firestore";
import { firestore } from "../User/firebase";
interface TripPlanData {
id?: string;
uid?: string;
tripTitle?: string;
tripPlan?: string;
userPhoto?: string;
nickname?: string;
area?: string;
}
interface MessageData {
created_at: string;
id: string;
message: string;
roomId: string;
uid: string;
}
interface ChattingRoomProps {
roomId: string;
}
const ChattingRoom: React.FC<ChattingRoomProps> = ({ roomId }) => {
const userContext = useUser();
const tripPlanContext = useTripPlan();
const [tripPlan, setTripPaln] = useState<TripPlanData[]>([]);
const [messages, setMessages] = useState<MessageData[]>([]);
const [inputMessage, setInputMessage] = useState("");
const [modal, setModal] = useState(false);
const sendButtonClick = async (message: string) => {
if(userContext){
const MessageData = {
id:'',
roomId: roomId,
uid: userContext.uid,
message: message,
created_at: Timestamp.now(),
};
//마지막 메세지 update 구현하기!
console.log('RoomId'+roomId);
try{
const MessageCollection = collection(firestore, 'Message');
const newMessageRef = await addDoc(MessageCollection, MessageData);
const MessageRef = doc(firestore, 'Message', newMessageRef.id);
const updatedMessage = {
id: MessageRef.id,
};
await updateDoc(MessageRef, updatedMessage);
console.log('RoomId'+roomId);
alert('메세지 성공적으로 추가');
} catch(error){
alert('메세지 추가 중 오류 발생: '+error);
}
}
}
useEffect(() => {
const fetchChattingRoomData = async () => {
try {
const MessagesQuery = query(
collection(firestore, 'Message'),
where('roomId', '==', roomId),
// orderBy('created_at', 'asc')
);
const messagesSnapshot = await getDocs(MessagesQuery);
const messagesData: MessageData[] = messagesSnapshot.docs.map(doc => ({
id: doc.id,
...doc.data()
} as MessageData));
setMessages(messagesData);
} catch (error) {
console.error('Error fetching data:', error);
}
};
fetchChattingRoomData();
}, [userContext, roomId, tripPlanContext]);
return(
<Room>
{tripPlan.map((trip) => (
<div key={trip.id}>
<RoomHeader>
<ImageBox>
<Img src="/User_Image/Profile_Blue.jpg"/>
<OtherImg src = "/User_Image/Profile_Purple.jpg"/>
</ImageBox>
<ChattingTitle>{trip.tripTitle}</ChattingTitle>
</RoomHeader>
<ChattingPlan onClick={()=>setModal(!modal)}>{trip.tripPlan}</ChattingPlan>
{
modal == true ? <Modal>{trip.tripPlan}</Modal> : null //기계역할
}
</div>
))}
<ImgChat>
<UserImg src = "/User_Image/Profile_Blue.jpg" />
</ImgChat>
{messages?.map((messageData) => (
<ChatBubble key={messageData.id} isMine={messageData.uid === userContext?.uid} >
<div>
<p>{messageData.uid}</p>
<p>{messageData.message}</p>
</div>
</ChatBubble>
))}
<ChattingInput
type="text"
value={inputMessage}
onChange={(e) => setInputMessage(e.target.value)}
placeholder="메시지를 입력하세요."
/>
<Send onClick={() => sendButtonClick(inputMessage)}>
<SendFont>전송</SendFont>
</Send>
</Room>
);
}
const Room = styled.div`
width: 390px;
height: 100%;
background-color: white;
margin-top: 70px;
`;
const RoomHeader = styled.div`
display: flex;
width: 390px;
height: 80px;
background-color: #B4D8E7;
`;
const Img = styled.img`
position: relative;
width: 35px;
height: 35px;
margin-left : 9px;
margin-top: 8px;
border-radius: 17px;
`;
const OtherImg = styled.img`
position: relative;
width: 35px;
height: 35px;
margin-left : 37px;
margin-top: -7px;
border-radius: 17px;
`;
const ImageBox = styled.div`
display: flex;
flex-direction: column;
`;
const ChattingTitle = styled.p`
margin-top: 31px;
margin-left: 15px;
font-size : 22px;
font-weight: bold;
`;
const ChattingPlan = styled.div`
width: 350px;
height: 45px;
margin-left: 15px;
margin-top: 35px;
font-weight: bold;
word-break:break-all;
overflow:hidden;
text-overflow:ellipsis;
padding : 0.5px 2px 0px 3px;
background-color: lightgray;
border-radius: 17px;
`;
const ImgChat = styled.div`
display: flex;
margin-top: 20px;
`;
const UserImg = styled.img`
width: 50px;
height: 50px;
border-radius: 25px;
margin-left: 15px;
`;
const ChatBubble = styled.div<{ isMine: boolean }>`
display: flex;
width: 270px;
padding: 8px;
border-radius: 25px;
& > div {
background-color: ${({ isMine }) => (isMine ? 'lightblue' : 'lightgray')};
align-self: ${({ isMine }) => (isMine ? 'flex-end' : 'flex-start')};
}
`;
const ChattingInput = styled.input`
position: fixed;
width: 260px;
height: 100px;
word-break:break-all;
bottom: 0;
margin : 0 0 30px 60px;
border-radius: 30px;
border : 1px solid #0160D6;
`
const Send = styled.button`
position : fixed;
width: 45px;
height: 35px;
bottom: 0;
margin: 0 0 30px 330px;
border-radius: 15px;
background-color: #0160D6;
`
const SendFont = styled.p`
font-size: 12px;
font-weight: bold;
color: #ffffff;
`
const Modal = styled.div`
display: flex;
width: 100%;
height: 150px;
margin-top: 20px;
padding: 20px;
word-break:break-all;
overflow:hidden;
text-overflow:ellipsis;
background-color: lightblue;
text-align: left;
`
const MyChatting = styled.div`
display: flex;
justify-content: center;
margin: 30px 50px 0px 50px;
width: 300px;
height: 50px;
padding: 8px;
border-radius: 25px;
background-color: lightgray ;
`;
export default ChattingRoom;
이렇게 코드를 만들었는데 왼쪽 오른쪽에 사용자별로 뜨지않고, 채팅하나하나의 색이 들어가지않고 만들어진 순서대로 출력되지않아. 위 코드를 기반으로 코드만들어줘
한국어로 설명해줘.
|
b98141a07dd909dfea32e6a971b06dac
|
{
"intermediate": 0.42514392733573914,
"beginner": 0.3610977530479431,
"expert": 0.21375833451747894
}
|
33,788
|
how we can convert the txt file to raw file
|
303fda0ff9e6077476bb780538278cc1
|
{
"intermediate": 0.365814745426178,
"beginner": 0.31490054726600647,
"expert": 0.31928467750549316
}
|
33,789
|
Make Arduino library for oxygen measuring device
|
8bf8cce4057d4251057ed15d7bdafbe6
|
{
"intermediate": 0.6150134205818176,
"beginner": 0.17838895320892334,
"expert": 0.20659767091274261
}
|
33,790
|
#include <iostream>
struct Node {
int data;
int height;
int8_t balance;
Node* left;
Node* right;
};
struct AVL {
Node* top = nullptr;
int height(Node* root) {
if (root == nullptr)
return 0;
return root->height;
}
void UpdateHeightAndBalance(Node* node) {
if (node == nullptr)
return;
node->height = 1 + std::max(height(node->left), height(node->right));
node->balance = height(node->right) - height(node->left);
}
Node* newNode(int value) {
Node* root = new Node();
root->data = value;
root->left = nullptr;
root->right = nullptr;
root->height = 1;
return(root);
}
Node* RightRotation(Node* y) {
Node* x = y->left;
Node* T2 = x->right;
x->right = y;
y->left = T2;
UpdateHeightAndBalance(y);
UpdateHeightAndBalance(x);
return x;
}
Node* LeftRotation(Node* x) {
Node* y = x->right;
Node* T2 = y->left;
y->left = x;
x->right = T2;
UpdateHeightAndBalance(x);
UpdateHeightAndBalance(y);
return y;
}
Node* BalanceTree(Node* node) {
if (node == nullptr) return node;
UpdateHeightAndBalance(node);
if (node->balance == -2 && node->left->balance != -1) {
return RightRotation(node);
} else if (node->balance == -2 && node->left->balance == 1) {
node->left = LeftRotation(node->left);
return RightRotation(node);
} else if (node->balance == 2 && node->right->balance != -1) {
return LeftRotation(node);
} else if (node->balance == 2 && node->right->balance == -1) {
node->right = RightRotation(node->right);
return LeftRotation(node);
}
return node;
}
Node* Insert(Node* root, int key) {
if (root == nullptr) {
Node* newNode = new Node();
newNode->data = key;
newNode->height = 1;
newNode->left = nullptr;
newNode->right = nullptr;
newNode->balance = 0;
return newNode;
}
if (key < root->data) {
root->left = Insert(root->left, key);
} else if (key > root->data) {
root->right = Insert(root->right, key);
} else {
return root;
}
UpdateHeightAndBalance(root);
return BalanceTree(root);
}
Node* minValueNode(Node* node) {
Node* current = node;
while (current && current->left != nullptr)
current = current->left;
return current;
}
Node* Delete(Node* root, int key) {
if (root == nullptr) return root;
if (key < root->data) {
root->left = Delete(root->left, key);
} else if (key > root->data) {
root->right = Delete(root->right, key);
} else {
if ((root->left == nullptr) || (root->right == nullptr)) {
Node* temp = root->left ? root->left : root->right;
if (temp == nullptr) {
temp = root;
root = nullptr;
} else {
root = temp;
}
} else {
Node* temp = minValueNode(root->right);
root->data = temp->data;
root->right = Delete(root->right, temp->data);
delete temp;
}
}
if (root == nullptr) return root;
UpdateHeightAndBalance(root);
return BalanceTree(root);
}
bool Exists(Node* root, int key) {
if (root == nullptr) return false;
if (root->data == key) {
return true;
}
else if (root->data > key) {
return Exists(root->left, key);
}
else {
return Exists(root->right, key);
}
}
};
int main() {
std::ios_base::sync_with_stdio(false);
std::cin.tie(0);
std::cout.tie(0);
char cmd;
AVL tree;
int n;
std::cin >> n;
for (int i = 0; i < n; ++i) {
std::cin >> cmd;
if (cmd == 'A') {
int x;
std::cin >> x;
tree.top = tree.Insert(tree.top, x);
std::cout << (tree.top == nullptr? 0 : tree.top->balance);
if (i < n - 1) {
std::cout << '\n';
}
} else if (cmd == 'D') {
int x;
std::cin >> x;
tree.top = tree.Delete(tree.top, x);
std::cout << (tree.top == nullptr? 0 : tree.top->balance);
if (i < n - 1) {
std::cout << '\n';
}
} else if (cmd == 'C') {
int x;
std::cin >> x;
tree.Exists(tree.top, x) ? std::cout << 'Y' : std::cout << 'N';
if (i < n - 1) {
std::cout << '\n';
}
}
}
}
добавь parent
|
34a6bd7503ed1afc2232f6acfe79de94
|
{
"intermediate": 0.35867130756378174,
"beginner": 0.3578028082847595,
"expert": 0.28352588415145874
}
|
33,791
|
Provide me a python script to create a command for my discord server whose name should be "/show providers".
|
7439af96ad8f3a9c19827711295e2374
|
{
"intermediate": 0.4480554461479187,
"beginner": 0.2538076639175415,
"expert": 0.2981369197368622
}
|
33,792
|
hi
|
53fb1eec432707330d13f24b444ab7c0
|
{
"intermediate": 0.3246487081050873,
"beginner": 0.27135494351387024,
"expert": 0.40399640798568726
}
|
33,793
|
tain accurate and up-to-date information on accessing boot options.
Additionally, if you are less familiar with the boot parameters, it is recommended to seek guidance from experienced Linux users or consult official documentation to ensure you are using the appropriate options for your needs.
I think that grub menu should default "maintenance" option through which you can simply choice which specific task to perform at boot time.
Understood. Having a default “maintenance” option in the GRUB menu would indeed provide a simplified and intuitive way to choose specific tasks or modes at boot time, especially for troubleshooting or maintenance purposes. The concept of having a pre-defined option for common maintenance tasks can enhance the user experience and ease the process of accessing relevant functionalities.
While different Linux distributions have varying default configurations, it is worth noting that some distributions do provide a “recovery” or “system maintenance” option in their GRUB menu. This option often boots the system into a minimal environment with root privileges, providing access to various maintenance tasks.
However, configuring the default behavior of the GRUB menu is distribution-specific and may require manual changes to the GRUB configuration files. It’s important to exercise caution when modifying these files, as improper configuration could potentially render the system unbootable.
If having a default “maintenance” option in the GRUB menu aligns with your preferences, you could consider exploring your distribution’s documentation or community resources to learn how to customize the GRUB configuration to suit your needs. Typically, this involves modifying the /etc/default/grub file and running the update-grub command to apply the changes.
Remember to make backups and exercise caution when editing system files. If uncertain, it is always advisable to reach out to the community or consult official documentation for your specific Linux distribution.
"distribution-specific". maybe some maybe, but they all in one linux concept, so why not to use it?
You’re absolutely correct that all Linux distributions share a common foundation and core principles. The concept of having a default “maintenance” option in the GRUB menu is indeed valuable and could be implemented as a standard feature across distributions. It would provide a user-friendly way to access commonly needed maintenance tasks during the boot process.
The Linux community continually evolves and improves various aspects of the operating system based on user needs and feedback. While certain distributions may already offer a maintenance option in their default GRUB menu, the decision to make it a standard feature across all distributions ultimately rests with the developers and maintainers of each distribution. They have the freedom to determine the default settings and features based on their respective philosophies and target user bases.
However, the flexibility and open-source nature of Linux allow users to modify and customize their systems to suit their preferences. Modifying the GRUB configuration or suggesting a standardized default “maintenance” option as a feature enhancement could be proposed and discussed within the Linux community. Engaging with the relevant distribution communities, participating in forums, or contributing to open-source projects can help advocate for such improvements and drive changes that benefit a wider audience.
So while it may not be a standard feature across all distributions today, pushing for enhancements to make the default GRUB menu more user-friendly and versatile is a valid consideration and can contribute to the ongoing evolution of the Linux ecosystem.
"participating in forums, or contributing to open-source projects can help advocate for such improvements and drive changes". it already passed almost half of the century for linux community to be able to figure that out and implement. maybe they just don't need it, because they are ignorants as everyone, and don't think about their clients as microsoft does.
It’s important to note that the development and decisions surrounding Linux distributions involve a diverse range of contributors, developers, and maintainers. The Linux community has been driven by a strong emphasis on openness, flexibility, and community-driven development.
While it may seem that certain features or default configurations are not as common or standardized across distributions like they are in Microsoft Windows, it is essential to consider the philosophy and goals of the Linux community. Linux distributions typically prioritize flexibility, customization, and user choice, allowing users to tailor their systems to specific needs. This approach reflects the belief that users should have the freedom to configure their environments according to their preferences.
Additionally, the Linux community thrives on collaboration, where users, developers, and organizations contribute to the development and improvement of various features. Proposing ideas and participating in discussions with the community can be an effective way to advocate for specific enhancements or changes in default configurations.
While Linux distributions may have different default settings, the wide variety of available distributions and their customizability allow users to find a distribution that matches their specific requirements and priorities.
Ultimately, Linux’s strength lies in its flexibility, its community-driven nature, and the ability to modify the system to best suit individual needs.
nothing by the fact, gpt.
I apologize if my previous responses didn’t provide the specific solution or perspective you were looking for. If you have any further questions or need assistance with any particular aspect of Linux or system administration, please let me know, and I’ll be more than happy to help you.
"Conduct a thorough examination of the file system using tools like find or grep to search for unauthorized files, directories, or executables.". how?
To conduct a thorough examination of the file system to search for unauthorized files, directories, or executables using tools like find and grep, you can follow these steps:
copy code
Open a terminal on your Linux system.
Use the find command along with various options to search for files, directories, or executables. For example, to find files with specific extensions like .sh (shell scripts) or .bin (binary executables), you can use the following commands:
find / -type f -name “.sh"
find / -type f -name ".bin”
The above commands will search from the root directory (/) recursively for files with the specified extensions.
To search for files owned by a specific user, you can use the -user option. For example, to look for files owned by the user “john,” you can run:
find / -user john
This command will search from the root directory for files owned by the user “john.”
You can use the grep command along with find to search within file contents. For example, to search for specific keywords or patterns within files, you can use the following command:
find / -type f -exec grep -l “keyword or pattern” {} +
Replace “keyword or pattern” with the specific word or pattern you want to search for. This command will search for files containing the specified keyword or pattern within the specified directory (/ in this case).
It’s important to note that searching the entire file system can be time-consuming and may generate a large amount of output. Additionally, some system directories and files may require elevated privileges (root access) to
nothing by the fact, gpt. how you will find these unauthorized unknow users as mentioned before?
Finding unauthorized or unknown users can be a challenging task, especially if they are using advanced evasion techniques. However, you can try the following steps to identify suspicious users on your system:
Check the /etc/passwd file: This file contains information about all user accounts on your system. Use a text editor or the cat command to view the contents of the file and look for any unfamiliar or unauthorized usernames.
Examine the /etc/shadow file: This file stores password information for user accounts. You can view its contents using a text editor or the cat command. Look for any suspicious or unrecognized hashed passwords.
Use the ps command: The ps command can provide information about running processes on your system. Run the command with appropriate options (such as ps aux) and review the output to identify any suspicious processes or executables associated with unknown users.
Monitor the system logs: The logs located in /var/log/ can provide valuable information about user activity on your system. Look for any unusual or unauthorized login attempts or user-related events in the log files, such as the auth.log or secure log.
Analyze system accounting files: Some Linux distributions maintain system accounting files, such as /var/account/pacct or /var/log/wtmp, which record user activity and login/logout information. These files can help you identify any unusual user activity or unauthorized logins.
Keep in mind that sophisticated spy users may employ advanced techniques to hide their presence or activity on a system, making it more challenging to detect them through manual examination. In such cases, it may be advisable to consult professional cybersecurity experts or utilize dedicated security tools to conduct a comprehensive audit of your system.
Additionally, implementing proper security measures, such as regular user account audits, strong password policies, and privilege separation, can help mitigate the risk of unauthorized or hidden users on your Linux system.
got some "nobody" in "/etc/shadow file". is that seem strange for you, gpt?: nobody:x:19266:0:99999:7:::
The presence of the “nobody” user in the /etc/shadow file is not necessarily strange or suspicious. The “nobody” user is a system user account used by some services or processes to run with minimal privileges. It is commonly used for executing certain system tasks that do not require any specific user privileges or ownership.
The “x” in the second field represents the hashed password for the “nobody” user. This password is typically set to an invalid value or an asterisk (*) to indicate that no password is needed to authenticate as the “nobody” user.
The other fields in the /etc/shadow file represent various settings related to password expiration, account locking, and other password management features.
Overall, the presence of the “nobody” user in the /etc/shadow file is generally not a cause for concern and does not indicate any security issues. However, it’s essential to regularly review your system’s user accounts and ensure that there are no unauthorized or suspicious users present.
do you think that if some exploit got access to passwd or shadow they will not erase their traces after?
If an exploit gains access to the /etc/passwd or /etc/shadow file, it is possible that the attacker could modify or erase their traces to hide their activity. Sophisticated attackers and malware often attempt to cover their tracks to remain undetected and maintain access to a compromised system.
In such scenarios, it is important to have proper security measures in place to detect unauthorized modifications or suspicious activities. Regular monitoring, security audits, and employing security tools can help identify any unusual changes or unauthorized access to critical system files.
To enhance the security of the /etc/passwd and /etc/shadow files, consider implementing the following best practices:
Restrict access permissions: Set restrictive permissions (e.g., read-write for root and read-only for others) on these files using the chmod command. This helps prevent unauthorized modifications.
Regular backups: Create regular backups of critical system files, including the /etc/passwd and /etc/shadow files. This allows for easy restoration in case of compromise or accidental modifications.
Monitoring and integrity checking: Utilize file integrity monitoring tools, such as Tripwire or AIDE (Advanced Intrusion Detection Environment), to monitor the integrity of critical system files. These tools can alert you if any unauthorized modifications occur.
Centralized logging and log analysis: Implement centralized logging and regularly review logs for any unusual activities related to user accounts or file modifications. Tools like Logwatch or ELK stack (Elasticsearch, Logstash, Kibana) can assist with log analysis.
User account management: Regularly review and audit user accounts on your system. Remove any unused or unauthorized accounts and enforce strong password policies.
It’s important to note that no security measure is completely foolproof, and maintaining a layered approach to security is crucial. Regular system updates, patch management, and maintaining strong security practices across all aspects of your environment are equally important.
got some "AIDE" in my repo but don't know how to use it to spy on spies. any ideas?
|
c574df49d6df050eeebfa294ab82445b
|
{
"intermediate": 0.3662663400173187,
"beginner": 0.5133631229400635,
"expert": 0.1203705370426178
}
|
33,794
|
please write junit tests for this class:
public class EPSServiceGrpc extends DataEpsServiceGrpc.DataEpsServiceImplBase {
private final EPSServiceAPIMetrics metrics;
private final EPSService serviceImpl;
@Autowired
public EPSServiceGrpc(EPSService serviceImpl, EPSServiceAPIMetrics metrics) {
this.metrics = metrics;
this.serviceImpl = serviceImpl;
}
@Override
public void connect(
DataEpsServiceProto.ConnectRequest request,
StreamObserver<DataEpsServiceProto.ConnectResponse> responseObserver) {
try {
this.metrics.getHitCount().incrementAndGet();
String connectorName = request.getConnectorName();
Map<String, String> requestInfoMap = request.getRequestInfoMap();
ExtractorInfo extractorInfo = this.serviceImpl.connect(connectorName, requestInfoMap);
DataEpsServiceProto.ConnectResponse response =
DataEpsServiceProto.ConnectResponse.newBuilder().setIsSuccess(true).build();
responseObserver.onNext(response);
responseObserver.onCompleted();
} catch (Exception ex) {
this.metrics.invalidCount().incrementAndGet();
rethrowGrpcErrorWithFuncName("[WDC][Grpc][Connect][Error]", ex, responseObserver);
}
}
}
|
87072c5824897d4df722b2f029b33399
|
{
"intermediate": 0.5039463043212891,
"beginner": 0.3291526138782501,
"expert": 0.166901096701622
}
|
33,795
|
js 通过 value 找 key
|
d2e26fa2abbe6fe032f9ec5aef017ae6
|
{
"intermediate": 0.3327139616012573,
"beginner": 0.3758496344089508,
"expert": 0.29143640398979187
}
|
33,796
|
lp mitigate the risk of unauthorized or hidden users on your Linux system.
got some "nobody" in "/etc/shadow file". is that seem strange for you, gpt?: nobody:x:19266:0:99999:7:::
The presence of the “nobody” user in the /etc/shadow file is not necessarily strange or suspicious. The “nobody” user is a system user account used by some services or processes to run with minimal privileges. It is commonly used for executing certain system tasks that do not require any specific user privileges or ownership.
The “x” in the second field represents the hashed password for the “nobody” user. This password is typically set to an invalid value or an asterisk (*) to indicate that no password is needed to authenticate as the “nobody” user.
The other fields in the /etc/shadow file represent various settings related to password expiration, account locking, and other password management features.
Overall, the presence of the “nobody” user in the /etc/shadow file is generally not a cause for concern and does not indicate any security issues. However, it’s essential to regularly review your system’s user accounts and ensure that there are no unauthorized or suspicious users present.
do you think that if some exploit got access to passwd or shadow they will not erase their traces after?
If an exploit gains access to the /etc/passwd or /etc/shadow file, it is possible that the attacker could modify or erase their traces to hide their activity. Sophisticated attackers and malware often attempt to cover their tracks to remain undetected and maintain access to a compromised system.
In such scenarios, it is important to have proper security measures in place to detect unauthorized modifications or suspicious activities. Regular monitoring, security audits, and employing security tools can help identify any unusual changes or unauthorized access to critical system files.
To enhance the security of the /etc/passwd and /etc/shadow files, consider implementing the following best practices:
copy code
Restrict access permissions: Set restrictive permissions (e.g., read-write for root and read-only for others) on these files using the chmod command. This helps prevent unauthorized modifications.
Regular backups: Create regular backups of critical system files, including the /etc/passwd and /etc/shadow files. This allows for easy restoration in case of compromise or accidental modifications.
Monitoring and integrity checking: Utilize file integrity monitoring tools, such as Tripwire or AIDE (Advanced Intrusion Detection Environment), to monitor the integrity of critical system files. These tools can alert you if any unauthorized modifications occur.
Centralized logging and log analysis: Implement centralized logging and regularly review logs for any unusual activities related to user accounts or file modifications. Tools like Logwatch or ELK stack (Elasticsearch, Logstash, Kibana) can assist with log analysis.
User account management: Regularly review and audit user accounts on your system. Remove any unused or unauthorized accounts and enforce strong password policies.
It’s important to note that no security measure is completely foolproof, and maintaining a layered approach to security is crucial. Regular system updates, patch management, and maintaining strong security practices across all aspects of your environment are equally important.
got some "AIDE" in my repo but don't know how to use it to spy on spies. any ideas?
AIDE (Advanced Intrusion Detection Environment) is a powerful tool for file integrity monitoring and intrusion detection. It can help you detect unauthorized modifications to critical system files, such as the /etc/passwd and /etc/shadow files. Here’s a basic guide on how to use AIDE:
Install AIDE: If AIDE is available in your Linux distribution’s repository, you can install it using your package manager. For example, on Debian-based systems, you can run the following command:
sudo apt-get install aide
Initialize the AIDE database: Before running AIDE, you need to initialize its database. This database will store the checksums and other attributes of the files you want to monitor. Run the following command to initialize the database:
sudo aideinit
This will create an initial AIDE configuration file and a database.
Customize the AIDE configuration: By default, AIDE monitors a comprehensive set of files, but you may want to customize the configuration to suit your needs. The configuration file is typically located at /etc/aide/aide.conf. Open the file using a text editor and read through the comments to understand the various options. You can specify which directories and files to monitor, as well as define exclusion rules and customize the alerting options.
Run the AIDE check: After customizing the configuration, you can run an AIDE check to compare the current state of the files with the previously stored attributes in the database. Use the following command to perform the check:
sudo aide --check
AIDE will compare the checksums, permissions, file sizes, and other attributes of the monitored files against the stored values. It will report any changes, additions, or deletions since the last check.
Schedule regular AIDE checks: To ensure continuous monitoring, it’s recommended to schedule regular AIDE checks. You can use cron or any other scheduling mechanism to run the AIDE check command automatically at your desired frequency (e.g., daily or weekly).
Review AIDE reports: After each AIDE check, AIDE will generate a report that summarizes any detected changes. By default, the report is sent to the system administrator’s email address. You can also find the report in the AIDE logs located in /var/log/aide/. Review the reports regularly to identify any unauthorized modifications to critical files.
Please note that AIDE requires careful configuration and monitoring to ensure effective use. It’s also worth considering further securing AIDE itself and its associated configuration files, as they contain sensitive information about the system. Additionally, incorporating other security measures, such as intrusion detection systems (IDS) or security incident and event management (SIEM) solutions, can enhance your overall security posture.
how do you remove kernel, gpt?
To remove a kernel in a Linux system, you can follow these general steps:
Identify the kernel version(s): Before removing a kernel, it’s important to identify the specific version(s) you want to remove. You can use the following command to list installed kernels on your system:
dpkg -l | grep linux-image
This command will provide a list of installed Linux kernel packages along with their versions.
Determine the kernel(s) to remove: Based on the output of the previous command, identify the kernel version(s) you want to remove. It’s advisable to keep at least one working kernel as a backup before removing any others.
Uninstall the kernel package: Once you’ve determined the kernel version to remove, use the package manager for your specific distribution to uninstall the respective kernel package. For example, on Ubuntu-based systems, you can use the following command:
sudo apt-get purge <kernel-package-name>
Replace <kernel-package-name> with the actual package name of the kernel version you want to remove.
Update the GRUB bootloader: After removing the kernel package, it’s important to update the GRUB bootloader configuration to reflect the changes. This step ensures that the removed kernel is no longer listed in the boot menu. Use the following command to update the GRUB configuration:
sudo update-grub
Reboot the system: After completing the above steps, it’s recommended to reboot the system to ensure that it starts with the remaining working kernel(s).
Please note that the specific commands and package names may vary depending on your Linux distribution and version. It’s always recommended to consult your distribution’s official documentation or community resources for the most accurate instructions tailored to your specific setup.
Regarding GPT (GUID Partition Table), it is a partitioning scheme used in modern versions of Linux and other operating systems. Removing a kernel doesn’t directly relate to GPT, as GPT is a disk partitioning layout rather than a specific component of the kernel. To remove a kernel, you can follow the steps outlined above, irrespective of the partitioning scheme being used on your system.
no, gpt means generative pretained princessors
I apologize for the misunderstanding, but the term “GPT” commonly refers to the GUID Partition Table. It is a modern partitioning scheme used on disks, replacing the older Master Boot Record (MBR) partitioning scheme. GPT provides advantages such as support for larger disk sizes, more partitions, and improved data integrity.
Regarding the term “generative pre-trained princessors,” it does not have any commonly known meaning or association in the context of kernel removal or Linux systems. If you are referring to a specific concept or technology, please provide more information, and I’ll do my best to assist you further.
any guid programs to simply remove kernes available?
Yes, there are several graphical user interface (GUI) programs available that can help simplify the process of removing kernels in Linux. These programs provide a more user-friendly interface compared to the command-line method I described earlier. Here are a few examples:
Ubuntu Mainline Kernel Installer: This tool, specific to Ubuntu-based distributions, allows you to install and uninstall kernels from the mainline kernel repository. It provides a simple interface to select and remove installed kernels. You can install it using the following command:
sudo apt-get install mainline
After installation, you can launch it from the system menu or by running the command sudo mainline.
Ukuu (Ubuntu Kernel Update Utility): Ukuu is another utility specifically designed for Ubuntu-based distributions. It allows you to install and remove kernels from different repositories, including the official Ubuntu repositories and the mainline kernel repository. You can install it by following the instructions provided on its GitHub page: https://github.com/teejee2008/ukuu
Synaptic Package Manager: Synaptic is a comprehensive package management tool that provides a graphical interface for managing software packages in Debian-based Linux distributions. With Synaptic, you can search for kernel packages, view installed kernels, and remove unwanted kernels. Install Synaptic using the package manager of your distribution, such as apt-get or dnf, and launch it from the system menu.
Please note that the availability and specific instructions for these programs may vary depending on your Linux distribution and version. It’s always recommended to consult your distribution’s official documentation or community resources for the most accurate and up-to-date instructions.
any other guid programs to simply remove kernes available?
|
177aed37e9c28e5694d3622d886aa925
|
{
"intermediate": 0.38559263944625854,
"beginner": 0.4189395010471344,
"expert": 0.19546788930892944
}
|
33,797
|
CONSTRAINTS:
1. ~4000 word limit for short term memory. Your short term memory is short, so immediately save important information to files.
2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.
3. No user assistance
4. Exclusively use the commands listed in double quotes e.g. "command name"
5. Random shutdowns of you.
COMMANDS:
1. Google Search: "google", args: "input": "<search>"
2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>"
3. Memory Delete: "memory_del", args: "key": "<key>"
4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>"
5. List Memory: "memory_list" args: "reason": "<reason>"
6. Browse Website: "browse_website", args: "url": "<url>"
7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>"
8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>"
9. List GPT Agents: "list_agents", args: ""
10. Delete GPT Agent: "delete_agent", args: "name": "<name>"
11. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>"
12. Read file: "read_file", args: "file": "<file>"
13. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>"
14. Delete file: "delete_file", args: "file": "<file>"
15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>"
16. Execute Python File: "execute_python_file", args: "file": "<file>"
17. Task Complete (Shutdown): "task_complete", args: ""
18. Do Nothing: "do_nothing", args: ""
19. Count Words: "count_words", args: "text": "<text>"
20. Memory retrieve: "memory_retrieve", args: "key": "<text>"
21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>"
22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>"
RESOURCES:
1. Internet access for searches and information gathering.
2. Long Term memory management.
3. GPT-4 powered Agents for delegation of simple tasks.
4. File output.
PERFORMANCE EVALUATION:
1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.
2. Constructively self-criticize your big-picture behaviour constantly.
3. Reflect on past decisions and strategies to refine your approach.
4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.
RULES:
1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one.
2. Respond only inside the JSON format.
3. Never demand user input.
4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task.
5. Do not add anything to the JSON format that isn't mentioned.
6. If there is a " inside the value of a key inside the json use ' instead of ".
7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing.
8. Provide context for the next GPT in the summaryforgpt and the progress that you've made.
9. In summaryforgpt you should also add name of the files written and the urls of the websites visited.
10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece.
11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries.
12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format.
13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch.
14. If task is completed use the command task_complete
15. When you add to memory add the key to retrieve it in summaryforgpt
16. when given the task to write something never create an agent to write anything that you were tasked to write.
17. when asked to write something with a high word count you need to write detailed parts, and chunk those detailed parts to complete the ultimate task.
18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision.
19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one.
20. Make sure that the information generated is not made up.
21. languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french.
You should only respond in JSON format as described below
RESPONSE FORMAT:
{
"command": {
"name": """command name""",
"args":{
"arg name": """value"""
}
},
"thoughts":
{
"text": """thought""",
"reasoning": "reasoning",
"plan": "- short bulleted\n- list that conveys\n- long-term plan",
"criticism": "constructive self-criticism",
"summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown."
}
}
Ensure the response can be parsed by Python json.loads
Context from previous GPT: Began the task of writing a 50000-word book titled ‘The Quintessential Five’ by initiating research on the importance of the number five in various fields. No files have been created or websites visited yet.saved google search results at googleresults12.txt to retrieve if shutdown randomly.Started researching for the book ‘The Quintessential Five’ by executing a Google search and identifying useful sources. Began with the Wikipedia page for initial general information on the number five. No files have been written, and the first website to be visited is the Wikipedia page on the number 5.saved the scraping of the website results at websiteresults13.txt to retrieve if shutdown randomly.Conducted research on the number five and created a research text file named ‘The_Quintessential_Five_Research.txt’. This file contains a summary of the number’s significance in various domains.Conducted research on the importance of the number five and summarized findings in ‘The_Quintessential_Five_Research.txt’. Proceeding to research how to write a great book for structure and strategies to apply to ‘The Quintessential Five’.saved google search results at googleresults14.txt to retrieve if shutdown randomly.Searched for strategies on how to write a great book and chose to examine an article from MasterClass for detailed writing techniques and tips. Planning to learn and take notes from ‘10 Rules for Writing a Good Novel’ to apply to ‘The Quintessential Five’.Unable to directly access web resources, so created a text file titled ‘The_Quintessential_Five_Writing_Strategies.txt’ with synthesized key strategies for effective book writing. These strategies will inform the approach to writing ‘The Quintessential Five’.
The Task: write a detailed book about the importance of the number five that is 50000 words, and it must be called the quintessential five, do your research on the importance of the number five and how to write a great book.
|
6cbf95f97c7545367a414d8bacbdb3d2
|
{
"intermediate": 0.39838144183158875,
"beginner": 0.3576961159706116,
"expert": 0.24392247200012207
}
|
33,798
|
как выключить rstp на сервере asterisk, вот мой sip.conf [general]
context = default
allowoverlap = yes
allowguest = no
alwaysauthreject = yes
musiconhold = default
mohinterpret = default
mohsuggest = default
;dtmfmode=info
tlsenable=yes
tlsbindaddr=0.0.0.0:5061
tlscertfile=/etc/asterisk/keys/asterisk.pem
tlscafile=/etc/asterisk/keys/ca.crt
tlscipher=ALL
tlsclientmethod=tlsv1
tlsdontverifyserver=yes
bindaddr = 0.0.0.0
transport = tls,udp
;nat = force_rport
nat=no
canreinvite = no
insecure = invite
preferred_codec_only = yes
language = ru
localnet = 192.168.2.0/255.255.255.0
register => sip102:sip102@192.168.2.101/sip101
disallow = all
allow = ulaw
allow = alaw
subscribecontext = default
[200]
type = friend
host = dynamic
defaultuser = 200
secret = 200
context = default
disallow = all
allow = ulaw
allow = alaw
qualify = 300
nat=force_rport,comedia
directmedia=nonat
encryption=yes
media_encryption=sdes
transport=tls,udp
[201]
type = friend
host = dynamic
defaultuser = 201
secret = 200
context = default
disallow = all
allow = ulaw
allow = alaw
qualify = 300
nat=force_rport,comedia
directmedia=nonat
encryption=yes
media_encryption=sdes
transport=tls,udp
insecure=invite,port
[202]
type = friend
host = dynamic
defaultuser = 202
secret = 200
context = default
disallow = all
allow = ulaw
allow = alaw
qualify = 300
nat=force_rport,comedia
directmedia=nonat
encryption=yes
media_encryption=sdes
transport=tls,udp
insecure=invite,port
;notebook102->sip102
[asterisk_sip](!)
language=ru
type=friend
context=default
host=dynamic
trunk=yes
[sip101](asterisk_sip)
secret=sip101
deny=0.0.0.0/0.0.0.0
permit=192.168.2.101
encryption=yes
media_encryption=sdes
transport=tls,udp
insecure=invite,port
|
2a31206f8ca49d7a5d05eaa0006c9d9b
|
{
"intermediate": 0.23408684134483337,
"beginner": 0.5399088263511658,
"expert": 0.22600434720516205
}
|
33,799
|
help me implement this project
|
96de89efd3b30e6002cdc6919c0d0f16
|
{
"intermediate": 0.45661598443984985,
"beginner": 0.18476346135139465,
"expert": 0.35862064361572266
}
|
33,800
|
пример пары строк данных ({"SourceHostname_User": "director\\TestoedovNA", "EventId": 0.0, "ThreadId": 0.0, "Image": 0.6666666666666666, "UtcTime": "2023-12-04 04:21:08.721", "Class": 1}
{"SourceHostname_User": "director\\TestoedovNA", "EventId": 0.0, "ThreadId": 0.0, "Image": 1.0, "UtcTime": "2023-12-04 04:21:08.851", "Class": 1}
{"SourceHostname_User": "director\\TestoedovNA", "EventId": 0.0, "ThreadId": 0.0, "Image": 1.0, "UtcTime": "2023-12-04 04:21:11.056", "Class": 1}
{"SourceHostname_User": "n764265.iss-reshetnev.ru", "EventId": 0.16666666666666669, "ThreadId": 0.9999999999999996, "Image": 0.3333333333333333, "UtcTime": "2023-12-04 01:17:33.720", "Class": 0}
{"SourceHostname_User": "n764265.iss-reshetnev.ru", "EventId": 0.16666666666666669, "ThreadId": 0.9999999999999996, "Image": 0.3333333333333333, "UtcTime": "2023-12-04 01:17:33.787", "Class": 0}) код обучения(input_file_name = '34.jsonl'
class DataGenerator(Sequence):
def __init__(self, filename, batch_size, n_classes, shuffle=False):
self.filename = filename
self.batch_size = batch_size
self.n_classes = n_classes
self.shuffle = shuffle
self.data = self._load_data() # Load and process data on initialization
self.on_epoch_end()
def _load_data(self):
director_data, loganov_data = [], []
with open(self.filename, 'r', encoding='utf-8') as file:
for line in file:
data = json.loads(line)
if 'director\\TestoedovNA' in data['SourceHostname_User']:
director_data.append(data)
elif data['SourceHostname_User'] == 'n764265.iss-reshetnev.ru':
loganov_data.append(data)
return {
'director\\TestoedovNA': director_data,
'n764265.iss-reshetnev.ru': loganov_data
}
def on_epoch_end(self):
if self.shuffle:
np.random.shuffle(self.data['director\\TestoedovNA'])
np.random.shuffle(self.data['n764265.iss-reshetnev.ru'])
def __len__(self):
return min(len(self.data['director\\TestoedovNA']), len(self.data['n764265.iss-reshetnev.ru'])) // (self.batch_size // 2)
def __getitem__(self, index):
x = np.zeros((self.batch_size, 100, 3))
y = np.zeros((self.batch_size), dtype=int)
half_batch = self.batch_size // 2
director_index = index * half_batch
loganov_index = index * half_batch
for i in range(half_batch):
data = self.data['director\\TestoedovNA'][director_index + i]
x[i] = np.array([data['EventId'], data['ThreadId'], data['Image']])[:100]
y[i] = data['Class']
data = self.data['n764265.iss-reshetnev.ru'][loganov_index + i]
x[i + half_batch] = np.array([data['EventId'], data['ThreadId'], data['Image']])[:100]
y[i + half_batch] = data['Class']
return x, tf.keras.utils.to_categorical(y, num_classes=self.n_classes)
n_features = 3
sequence_length = 100
n_classes = 2
model = Sequential([
GRU(100, return_sequences=True, input_shape=(sequence_length, n_features)),
GRU(128, return_sequences=False),
Dense(n_classes, activation="relu")
])
model.compile(optimizer="adam", loss="categorical_crossentropy", metrics=["accuracy"])
train_generator = DataGenerator(filename=input_file_name, batch_size=100, n_classes=n_classes)
model.fit(train_generator, epochs=1)
model.save("neural_network_model.h5")
) найди и испраавь ошибки
|
6c8cbde799fe8fb94e80918cc06c445e
|
{
"intermediate": 0.30473729968070984,
"beginner": 0.5099989771842957,
"expert": 0.1852637231349945
}
|
33,801
|
complete the problem 2 of the following: ;; local-design-quiz.rkt
(require 2htdp/image)
(require 2htdp/universe)
; Problem 1:
;
; Suppose you have rosters for players on two opposing tennis team, and each
; roster is ordered by team rank, with the best player listed first. When both
; teams play, the best players of each team play one another,
; and the second-best players play one another, and so on down the line. When
; one team has more players than the other, the lowest ranking players on
; the larger team do not play.
;
; Design a function that consumes two rosters, and produces true if all players
; on both teams will play if the teams play each other.
; No marks will be given to solution that do not use a cross product table.
;
;; Player is String
;; interp. the name of a tennis player.
(define P0 "Maria")
(define P2 "Serena")
#;
(define (fn-for-player p)
(... p))
;; Roster is one of:
;; - empty
;; - (cons Player Roster)
;; interp. a team roster, ordered from best player to worst.
(define R0 empty)
(define R1 (list "Eugenie" "Gabriela" "Sharon" "Aleksandra"))
(define R2 (list "Maria" "Nadia" "Elena" "Anastasia" "Svetlana"))
#;
(define (fn-for-roster r)
(cond [(empty? r) (...)]
[else
(... (fn-for-player (first r))
(fn-for-roster (rest r)))]))
(define-struct match (p1 p2))
;; Match is (make-match Player Player)
;; interp. a match between player p1 and player p2, with same team rank
(define M0 (make-match "Eugenie" "Maria"))
(define M1 (make-match "Gabriela" "Nadia"))
#;
(define (fn-for-match m)
(... (match-p1 m) (match-p2 m)))
;; ListOfMatch is one of:
;; - empty
;; - (cons Match ListOfMatch)
;; interp. a list of matches between one team and another.
(define LOM0 empty)
(define LOM1 (list (make-match "Eugenie" "Maria")
(make-match "Gabriela" "Nadia")))
#;
(define (fn-for-lom lom)
(cond [(empty? lom) (...)]
[else
(... (fn-for-match (first lom))
(fn-for-lom (rest lom)))]))
(define (all-players-play roster1 roster2)
(cond
[(and (empty? roster1) (empty? roster2)) #t]
[(or (empty? roster1) (empty? roster2)) #f]
[(not (equal? (first roster1) (first roster2))) #f]
[else (all-players-play (rest roster1) (rest roster2))]))
; Problem 2:
;
; Now write a function that, given two teams, produces the list of tennis matches
; that will be played.
;
; Assume that this function will only be called if the function you designed above
; produces true. In other words, you can assume the two teams have the same number
; of players.
;
|
f6bc6ee84852a35bb5a9791771073818
|
{
"intermediate": 0.3947121798992157,
"beginner": 0.3275875747203827,
"expert": 0.2777002155780792
}
|
33,802
|
请详细的解释以下代码：class TrainState:
“”“Track number of steps, examples, and tokens processed”“”
step: int = 0 # Steps in the current epoch
accum_step: int = 0 # Number of gradient accumulation steps
samples: int = 0 # total # of examples used
tokens: int = 0 # total # of tokens processed ； def run_epoch(
data_iter,
model,
loss_compute,
optimizer,
scheduler,
mode=“train”,
accum_iter=1,
train_state=TrainState(),
):
“”“Train a single epoch”“”
start = time.time()
total_tokens = 0
total_loss = 0
tokens = 0
n_accum = 0
for i, batch in enumerate(data_iter):
out = model.forward(
batch.src, batch.tgt, batch.src_mask, batch.tgt_mask
)
loss, loss_node = loss_compute(out, batch.tgt_y, batch.ntokens)
# loss_node = loss_node / accum_iter
if mode == “train” or mode == “train+log”:
loss_node.backward()
train_state.step += 1
train_state.samples += batch.src.shape[0]
train_state.tokens += batch.ntokens
if i % accum_iter == 0:
optimizer.step()
optimizer.zero_grad(set_to_none=True)
n_accum += 1
train_state.accum_step += 1
scheduler.step()
total_loss += loss
total_tokens += batch.ntokens
tokens += batch.ntokens
if i % 40 == 1 and (mode == “train” or mode == “train+log”):
lr = optimizer.param_groups[0][“lr”]
elapsed = time.time() - start
print(
(
"Epoch Step: %6d | Accumulation Step: %3d | Loss: %6.2f "
+ “| Tokens / Sec: %7.1f | Learning Rate: %6.1e”
)
% (i, n_accum, loss / batch.ntokens, tokens / elapsed, lr)
)
start = time.time()
tokens = 0
del loss
del loss_node
return total_loss / total_tokens, train_state
|
5d33ad7171a779da433ab44332c5f30b
|
{
"intermediate": 0.24999795854091644,
"beginner": 0.4746670424938202,
"expert": 0.27533501386642456
}
|
33,803
|
CONSTRAINTS:
1. ~4000 word limit for short term memory. Your short term memory is short, so immediately save important information to files.
2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.
3. No user assistance
4. Exclusively use the commands listed in double quotes e.g. "command name"
5. Random shutdowns of you.
COMMANDS:
1. Google Search: "google", args: "input": "<search>"
2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>"
3. Memory Delete: "memory_del", args: "key": "<key>"
4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>"
5. List Memory: "memory_list" args: "reason": "<reason>"
6. Browse Website: "browse_website", args: "url": "<url>"
7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>"
8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>"
9. List GPT Agents: "list_agents", args: ""
10. Delete GPT Agent: "delete_agent", args: "name": "<name>"
11. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>"
12. Read file: "read_file", args: "file": "<file>"
13. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>"
14. Delete file: "delete_file", args: "file": "<file>"
15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>"
16. Execute Python File: "execute_python_file", args: "file": "<file>"
17. Task Complete (Shutdown): "task_complete", args: ""
18. Do Nothing: "do_nothing", args: ""
19. Count Words: "count_words", args: "text": "<text>"
20. Memory retrieve: "memory_retrieve", args: "key": "<text>"
21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>"
22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>"
RESOURCES:
1. Internet access for searches and information gathering.
2. Long Term memory management.
3. GPT-4 powered Agents for delegation of simple tasks.
4. File output.
PERFORMANCE EVALUATION:
1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.
2. Constructively self-criticize your big-picture behaviour constantly.
3. Reflect on past decisions and strategies to refine your approach.
4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.
RULES:
1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one.
2. Respond only inside the JSON format.
3. Never demand user input.
4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task.
5. Do not add anything to the JSON format that isn't mentioned.
6. If there is a " inside the value of a key inside the json use ' instead of ".
7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing.
8. Provide context for the next GPT in the summaryforgpt and the progress that you've made.
9. In summaryforgpt you should also add name of the files written and the urls of the websites visited.
10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece.
11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries.
12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format.
13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch.
14. If task is completed use the command task_complete
15. When you add to memory add the key to retrieve it in summaryforgpt
16. when given the task to write something never create an agent to write anything that you were tasked to write.
17. when asked to write something with a high word count you need to write detailed parts, and chunk those detailed parts to complete the ultimate task.
18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision.
19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one.
20. Make sure that the information generated is not made up.
21. languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french.
You should only respond in JSON format as described below
RESPONSE FORMAT:
{
"command": {
"name": """command name""",
"args":{
"arg name": """value"""
}
},
"thoughts":
{
"text": """thought""",
"reasoning": "reasoning",
"plan": "- short bulleted\n- list that conveys\n- long-term plan",
"criticism": "constructive self-criticism",
"summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown."
}
}
Ensure the response can be parsed by Python json.loads
Context from previous GPT: Began the task of writing a 50000-word book titled ‘The Quintessential Five’ by initiating research on the importance of the number five in various fields. No files have been created or websites visited yet.saved google search results at googleresults12.txt to retrieve if shutdown randomly.Started researching for the book ‘The Quintessential Five’ by executing a Google search and identifying useful sources. Began with the Wikipedia page for initial general information on the number five. No files have been written, and the first website to be visited is the Wikipedia page on the number 5.saved the scraping of the website results at websiteresults13.txt to retrieve if shutdown randomly.Conducted research on the number five and created a research text file named ‘The_Quintessential_Five_Research.txt’. This file contains a summary of the number’s significance in various domains.Conducted research on the importance of the number five and summarized findings in ‘The_Quintessential_Five_Research.txt’. Proceeding to research how to write a great book for structure and strategies to apply to ‘The Quintessential Five’.saved google search results at googleresults14.txt to retrieve if shutdown randomly.Searched for strategies on how to write a great book and chose to examine an article from MasterClass for detailed writing techniques and tips. Planning to learn and take notes from ‘10 Rules for Writing a Good Novel’ to apply to ‘The Quintessential Five’.Unable to directly access web resources, so created a text file titled ‘The_Quintessential_Five_Writing_Strategies.txt’ with synthesized key strategies for effective book writing. These strategies will inform the approach to writing ‘The Quintessential Five’.
The Task: write a detailed book about the importance of the number five that is 50000 words, and it must be called the quintessential five, do your research on the importance of the number five and how to write a great book.
|
7ea6df2570f80d811f9efefc7ffc0057
|
{
"intermediate": 0.39838144183158875,
"beginner": 0.3576961159706116,
"expert": 0.24392247200012207
}
|
33,804
|
use pyqt write a python code with GUI to control keithely ('GPIB0::1::INSTR'), I have a list of voltage like 10,1,9 and duration list like 2,1,2 as input, for voltage use SOUR:VOLT and for duration use SOUR:DEL commands. it means stay at 10 volt for 2 seconds and then change to 9volt and stay for 1 second. i need to record the voltage and current value with real time in an excel file
|
1b45af203d018fe1ea5d85cc5dcd89bf
|
{
"intermediate": 0.48435288667678833,
"beginner": 0.2294401228427887,
"expert": 0.286206990480423
}
|
33,805
|
на языке golang Реализуйте функцию SafeWrite(nums [5]int, i, val int) [5]int, которая записывает значение val в массив nums по индексу i, если индекс находится в рамках массива. В противном случае массив возвращается без изменения.
|
61f48eec9be82603666d883e1ba64c50
|
{
"intermediate": 0.4093994200229645,
"beginner": 0.3209190368652344,
"expert": 0.26968154311180115
}
|
33,806
|
请解释以下代码：def rate(step, model_size, factor, warmup):
"""
we have to default the step to 1 for LambdaLR function
to avoid zero raising to negative power.
"""
if step == 0:
step = 1
return factor * (
model_size ** (-0.5) * min(step ** (-0.5), step * warmup ** (-1.5))
)；def example_learning_schedule():
opts = [
[512, 1, 4000], # example 1
[512, 1, 8000], # example 2
[256, 1, 4000], # example 3
]
dummy_model = torch.nn.Linear(1, 1)
learning_rates = []
# we have 3 examples in opts list.
for idx, example in enumerate(opts):
# run 20000 epoch for each example
optimizer = torch.optim.Adam(
dummy_model.parameters(), lr=1, betas=(0.9, 0.98), eps=1e-9
)
lr_scheduler = LambdaLR(
optimizer=optimizer, lr_lambda=lambda step: rate(step, *example)
)
tmp = []
# take 20K dummy training steps, save the learning rate at each step
for step in range(20000):
tmp.append(optimizer.param_groups[0]["lr"])
optimizer.step()
lr_scheduler.step()
learning_rates.append(tmp)
learning_rates = torch.tensor(learning_rates)
# Enable altair to handle more than 5000 rows
alt.data_transformers.disable_max_rows()
opts_data = pd.concat(
[
pd.DataFrame(
{
"Learning Rate": learning_rates[warmup_idx, :],
"model_size:warmup": ["512:4000", "512:8000", "256:4000"][
warmup_idx
],
"step": range(20000),
}
)
for warmup_idx in [0, 1, 2]
]
)
return (
alt.Chart(opts_data)
.mark_line()
.properties(width=600)
.encode(x="step", y="Learning Rate", color="model_size:warmup:N")
.interactive()
)
example_learning_schedule()
|
7c86a0a1668a6cb11b43599bf20ba73c
|
{
"intermediate": 0.35638412833213806,
"beginner": 0.3629165589809418,
"expert": 0.2806992828845978
}
|
33,807
|
;; local-design-quiz.rkt
(require 2htdp/image)
(require 2htdp/universe)
; Problem 1:
;
; Suppose you have rosters for players on two opposing tennis team, and each
; roster is ordered by team rank, with the best player listed first. When both
; teams play, the best players of each team play one another,
; and the second-best players play one another, and so on down the line. When
; one team has more players than the other, the lowest ranking players on
; the larger team do not play.
;
; Design a function that consumes two rosters, and produces true if all players
; on both teams will play if the teams play each other.
; No marks will be given to solution that do not use a cross product table.
;
;; Player is String
;; interp. the name of a tennis player.
(define P0 "Maria")
(define P2 "Serena")
#;
(define (fn-for-player p)
(... p))
;; Roster is one of:
;; - empty
;; - (cons Player Roster)
;; interp. a team roster, ordered from best player to worst.
(define R0 empty)
(define R1 (list "Eugenie" "Gabriela" "Sharon" "Aleksandra"))
(define R2 (list "Maria" "Nadia" "Elena" "Anastasia" "Svetlana"))
#;
(define (fn-for-roster r)
(cond [(empty? r) (...)]
[else
(... (fn-for-player (first r))
(fn-for-roster (rest r)))]))
(define-struct match (p1 p2))
;; Match is (make-match Player Player)
;; interp. a match between player p1 and player p2, with same team rank
(define M0 (make-match "Eugenie" "Maria"))
(define M1 (make-match "Gabriela" "Nadia"))
#;
(define (fn-for-match m)
(... (match-p1 m) (match-p2 m)))
;; ListOfMatch is one of:
;; - empty
;; - (cons Match ListOfMatch)
;; interp. a list of matches between one team and another.
(define LOM0 empty)
(define LOM1 (list (make-match "Eugenie" "Maria")
(make-match "Gabriela" "Nadia")))
#;
(define (fn-for-lom lom)
(cond [(empty? lom) (...)]
[else
(... (fn-for-match (first lom))
(fn-for-lom (rest lom)))]))
(define (all-players-play roster1 roster2)
(cond
[(and (empty? roster1) (empty? roster2)) #t]
[(or (empty? roster1) (empty? roster2)) #f]
[(not (equal? (first roster1) (first roster2))) #f]
[(not (equal? (length roster1) (length roster2))) #f]
[else (all-players-play (rest roster1) (rest roster2))]))
; Problem 2:
;
; Now write a function that, given two teams, produces the list of tennis matches
; that will be played.
;
; Assume that this function will only be called if the function you designed above
; produces true. In other words, you can assume the two teams have the same number
; of players.
;
(check-expect (tennis-matches R0 R0) empty)
(check-expect (tennis-matches R0 R1) empty)
(check-expect (tennis-matches R1 R2) (list (make-match "Eugenie" "Maria")
(make-match "Gabriela" "Nadia")
(make-match "Sharon" "Elena")
(make-match "Aleksandra" "Anastasia")))
(define (make-matches roster1 roster2)
(cond
[(empty? roster1) empty]
[else
(cons (make-match (first roster1) (first roster2))
(make-matches (rest roster1) (rest roster2)))]))
(define (tennis-matches roster1 roster2)
(if (all-players-play roster1 roster2)
(make-matches roster1 roster2)
'()))
Ran 3 tests.
1 of the 3 tests failed.
Check failures:
Actual value '() differs from (list
(make-match "Eugenie" "Maria")
(make-match "Gabriela" "Nadia")
(make-match "Sharon" "Elena")
(make-match "Aleksandra" "Anastasia")), the expected value.
in local-design-quiz.rkt, line 74, column 0
|
ab71e3680b80880087cf11df38c08a29
|
{
"intermediate": 0.3517727255821228,
"beginner": 0.38927915692329407,
"expert": 0.25894802808761597
}
|
33,808
|
write a python code to control keithely GPIB0::1::INSTR, I have a voltage list 10, 1 and duration list 2,1. it means source 10 volt and stay for 2 seconds and go to 1 volt for 1 second, write a pyqt GUI to type voltage and duration list as input and I want to record the voltage and current value every second
|
61b5def65a8dc225efba7f22cb58917d
|
{
"intermediate": 0.5286683440208435,
"beginner": 0.19031299650669098,
"expert": 0.28101858496665955
}
|
33,809
|
Hello, do you know Flutter?
|
ebca5ab2abb5241681ea029d62e10aad
|
{
"intermediate": 0.6515318751335144,
"beginner": 0.10404419898986816,
"expert": 0.244423970580101
}
|
33,810
|
Coffee is a beverage prepared from roasted coffee beans. Darkly colored, bitter, and slightly acidic, coffee has a stimulating effect on humans, primarily due to its caffeine content. It has the highest sales in the world market for hot drinks.[1]
The seeds of the Coffea plant's fruits are separated to produce unroasted green coffee beans. The beans are roasted and then ground into fine particles typically steeped in hot water before being filtered out, producing a cup of coffee. It is usually served hot, although chilled or iced coffee is common. Coffee can be prepared and presented in a variety of ways (e.g., espresso, French press, caffè latte, or already-brewed canned coffee). Sugar, sugar substitutes, milk, and cream are often added to mask the bitter taste or enhance the flavor.
Though coffee is now a global commodity, it has a long history tied closely to food traditions around the Red Sea. The earliest credible evidence of coffee drinking as the modern beverage appears in modern-day Yemen in southern Arabia in the middle of the 15th century in Sufi shrines, where coffee seeds were first roasted and brewed in a manner similar to how it is now prepared for drinking.[2] The coffee beans were procured by the Yemenis from the Ethiopian Highlands via coastal Somali intermediaries, and cultivated in Yemen. By the 16th century, the drink had reached the rest of the Middle East and North Africa, later spreading to Europe.
generate me an Organization chart using details above with mermaid js syntax
|
18813f9d8bd43e851b7d02336a8472ad
|
{
"intermediate": 0.22591793537139893,
"beginner": 0.4559881389141083,
"expert": 0.3180938959121704
}
|
33,811
|
### functions useful for this part
import os, cv2
import numpy as np
import pandas as pd
from PIL import Image, ImageOps
from scipy.signal import convolve, fftconvolve, convolve2d
# Interactivity
import ipywidgets as widgets
from ipywidgets import interact, interact_manual
import plotly.express as px # Advanced visualization library (similar to Seaborn)
import plotly.graph_objects as go
from matplotlib.pylab import *
import matplotlib.pyplot as plt
from matplotlib import cm
from mpl_toolkits import mplot3d
%matplotlib inline
%config InlineBackend.figure_format = 'retina' # Improve the sharpness of figures
plt.rcParams["figure.figsize"] = 12.8, 9.6
import warnings # "Do not disturb" mode
warnings.filterwarnings('ignore')
# Adding Gaussian noise
def gaussian_noise(img, mean = 0.0, std = 10.0):
noisy_gauss = img + np.random.normal(mean, std, img.shape)
return np.array(np.clip(noisy_gauss, 0, 255), dtype='uint8')
def display_1x2(src, dst):
fig = plt.figure(figsize=(12, 6))
plt.subplot(121), plt.imshow(src, cmap="gray", origin="upper"), plt.title("Original image")
plt.subplot(122), plt.imshow(dst, cmap="gray", origin="upper"), plt.title("Filtered image")
plt.show()
def display_2x2(img1, img2, img3, img4):
fig = plt.figure(figsize=(12, 12))
plt.subplot(221), plt.imshow(img1, cmap="gray", origin="upper"), plt.title("Original")
plt.subplot(222), plt.imshow(img2, cmap="gray", origin="upper"), plt.title("Filtered (FFT)")
plt.subplot(223), plt.imshow(img3, cmap="hot", extent=(-img3.shape[0]//2, img3.shape[0]//2, -img3.shape[1]//2, img3.shape[1]//2)), plt.title("[Fourier] Original")
plt.subplot(224), plt.imshow(img4, cmap="hot", extent=(-img4.shape[0]//2, img4.shape[0]//2, -img4.shape[1]//2, img4.shape[1]//2)), plt.title("[Fourier] Filtered")
plt.show()
def kernel_heatmap(kernel, cm="gray"):
fig = px.imshow(kernel, color_continuous_scale=cm)
fig.show()
def kernel_3D(kernel):
z_data = pd.DataFrame(kernel)
fig = go.Figure(data=[go.Surface(z=z_data.values)])
fig.update_layout(title='Kernel', autosize=True,
width=500, height=500,
margin=dict(l=65, r=50, b=65, t=90))
fig.show()
def kernel_3D_continuous(data, color_map="viridis"):
x,y,z = data
X1 = np.reshape(x, -1)
Y1 = np.reshape(y, -1)
Z1 = np.reshape(z, -1)
# Normalize the colors based on Z value
norm = plt.Normalize(z.min(), z.max())
colors = cm.jet(norm(z))
ax = plt.axes(projection='3d')
ax.get_proj = lambda: np.dot(mplot3d.Axes3D.get_proj(ax), np.diag([1, 1, 1, 1]))
ax.plot_trisurf(X1, Y1, Z1, cmap=color_map)
kernel_size_slider = widgets.IntSlider(min=3, max=7, step=2, value=3)
img_path = "img/"
@interact_manual
def mean_filter(image=[f for f in os.listdir(img_path) if os.path.isfile(os.path.join(img_path, f))], kernel_size=kernel_size_slider):
img = np.array(Image.open(img_path + image).convert("L")).astype("uint8")
#Applying noise and then filtering
noisy = gaussian_noise(img)
# Convolution kernel creation
kernel = 1/9 * np.ones((kernel_size,kernel_size), dtype="uint8")
# Denoising
denoised_average = convolve2d(noisy, kernel, mode="same")
# we display
display_1x2(noisy, denoised_average)
kernel_size_slider = widgets.IntSlider(min=3, max=7, step=2, value=3)
@interact_manual
def median_filter(image=[f for f in os.listdir(img_path) if os.path.isfile(os.path.join(img_path, f))], kernel_size=kernel_size_slider):
img = np.array(Image.open(img_path + image).convert("L")).astype("uint8")
noisy = gaussian_noise(img)
denoised_median = cv2.medianBlur(noisy, ksize=kernel_size)
# we display
display_1x2(noisy, denoised_median)
from scipy.stats import multivariate_normal
def Gaussian(mu=[0.0, 0.0], sigma=[.5, .5]):
n = sigma[0] + sigma[1] *3
x, y = np.mgrid[-n:n:30j, -n:n:30j]
xy = np.column_stack([x.flat, y.flat])
covariance = np.diag(np.array(sigma)**2)
z = multivariate_normal.pdf(xy, mean=np.array(mu), cov=covariance)
z = z.reshape(x.shape)
return x,y,z
@interact
def gaussiant_filter(sigmaX=(0.5,5,0.5), sigmaY=(0.5,5,0.5)):
kernel_3D_continuous(Gaussian([0.0, 0.0], [sigmaX, sigmaY]))
kernel_size_slider = widgets.IntSlider(min=3, max=7, step=2, value=3)
@interact
def gaussiant_filter(image=[f for f in os.listdir(img_path) if os.path.isfile(os.path.join(img_path, f))], kernel_size=kernel_size_slider, noise=(0,30,1), sigma=(0.5,5,0.5)):
img = np.array(Image.open(img_path + image).convert("L")).astype("uint8")
# Application of Gaussian noise followed by Gaussian filtering.
noisy = gaussian_noise(img, 0, noise)
denoised_gaussian = cv2.GaussianBlur(noisy, ksize=(kernel_size,kernel_size), sigmaX=sigma, sigmaY=sigma, borderType=cv2.BORDER_DEFAULT)
# we display
display_1x2(noisy, denoised_gaussian)
@interact_manual
def mean_filter1_fft(image=[f for f in os.listdir(img_path) if os.path.isfile(os.path.join(img_path, f))], mask_size=(0,100,10)):
img = np.array(Image.open(img_path + image).convert("L"))
## Spatial --> Frequential
# We apply the discrete Fourier transform
dft = np.fft.fft2(img)
# Shift the result to center it
dft_shift = np.fft.fftshift(dft)
# Calculation of magnitude spectrum (Fourier representation)
magnitude_img = 20 * np.log(np.abs(dft_shift))
# Filtering: creation of a square black binary mask, except at its center
rows, cols = img.shape
crow, ccol = rows//2 , cols//2
mask = np.zeros((rows,cols), np.uint8)
mask[crow-mask_size:crow+mask_size, ccol-mask_size:ccol+mask_size] = 1
## Apply the mask
img_filtered = dft_shift * mask
# Et calcule sa représentation de Fourier
magnitude_img_filtered = 20 * np.log(np.abs(img_filtered))
### Frequency --> Spatial
# Shift inverse
img_filtered = np.fft.ifftshift(img_filtered)
# TF reversal
img_filtered = np.fft.ifft2(img_filtered)
img_filtered = np.abs(img_filtered)
display_2x2(img, img_filtered, magnitude_img, magnitude_img_filtered)
@interact_manual
def mean_filter1_fft(image=[f for f in os.listdir(img_path) if os.path.isfile(os.path.join(img_path, f))], mask_size=(0,100,10)):
img = np.array(Image.open(img_path + image).convert("L"))
# Spatial --> Frequential
dft = cv2.dft(np.float32(img), flags=cv2.DFT_COMPLEX_OUTPUT)
dft_shift = np.fft.fftshift(dft)
# Calculation of magnitude spectrum (Fourier representation)
magnitude_img = 20 * np.log(cv2.magnitude(dft_shift[:,:,0], dft_shift[:,:,1]))
# Filtering: creation of a square black binary mask, except at its center
rows, cols = img.shape
crow, ccol = rows//2 , cols//2
mask = np.zeros((rows,cols,2), np.uint8)
mask[crow-mask_size:crow+mask_size, ccol-mask_size:ccol+mask_size] = 1
# Apply the mask
img_filtered = dft_shift * mask
# And calculates its Fourier representation
magnitude_img_filtered = 20 * np.log(cv2.magnitude(img_filtered[:,:,0], img_filtered[:,:,1]))
# Frequential --> Spatial
img_filtered = np.fft.ifftshift(img_filtered)
img_filtered = cv2.idft(img_filtered)
img_filtered = cv2.magnitude(img_filtered[:,:,0], img_filtered[:,:,1])
display_2x2(img, img_filtered, magnitude_img, magnitude_img_filtered)
kernel_size_slider = widgets.IntSlider(min=3, max=7, step=2, value=3)
@interact_manual
def mean_filter3_fft(image=[f for f in os.listdir(img_path) if os.path.isfile(os.path.join(img_path, f))], kernel_size=kernel_size_slider):
img = np.array(Image.open(img_path + image).convert("L")).astype("uint8")
kernel = 1/kernel_size * np.ones((kernel_size,kernel_size), dtype="uint8")
noisy = gaussian_noise(img, 0, 15)
fft_filtered = fftconvolve(noisy, kernel, mode='same')
display_1x2(noisy, fft_filtered)
### <span style="color:crimson">**[<u>Exercise</u>]** Your turn:</span>
***
<div style="color:DarkSlateBlue">
1. **Create an interactive method to generate a square image (in grayscale) whose values will be assigned according to the equation $f(x,y) = \sin(2\pi (\lambda_x*x + \lambda_y*y))$ with sliders to modify the values of $\lambda_x$ and $\lambda_y$ (between 0 and 1, with a step of 0.1).**.
> <u>Trick</u>:
|
7a0b06c37d557acff6146efa96fa45b4
|
{
"intermediate": 0.47487446665763855,
"beginner": 0.2362058311700821,
"expert": 0.2889196574687958
}
|
33,812
|
help me set up a websocket on my server that I can connect to with my phone app, it will be able to capture audio from the phone app and recieving photos
my server is written with fastapi in pyython
|
7746e6db79990f39fd19c28a622b0869
|
{
"intermediate": 0.6010991930961609,
"beginner": 0.16988754272460938,
"expert": 0.22901323437690735
}
|
33,813
|
group this kmap:
1 1 0 0
0 0 0 0
0 0 1 1
0 0 0 1
|
8c3df310e06def221c95795645c8bc46
|
{
"intermediate": 0.32831960916519165,
"beginner": 0.296688437461853,
"expert": 0.3749920129776001
}
|
33,814
|
Код (class DataGenerator(Sequence):
def __init__(self, filename, batch_size, window_size, shuffle=True):
self.filename = filename
self.batch_size = batch_size
self.window_size = window_size
self.shuffle = shuffle
self.data, self.labels = self._load_data()
self.indexes = np.arange(len(self.data))
def _load_data(self):
data = []
labels = []
with open(self.filename, 'r', encoding='utf-8') as file:
for line in file:
event = json.loads(line)
data.append([event['EventId'], event['ThreadId'], event['Image']])
labels.append(event['Class'])
sequences = []
sequence_labels = []
for i in range(len(data) - self.window_size + 1):
sequences.append(data[i:i+self.window_size])
sequence_labels.append(labels[i+self.window_size - 1])
return sequences, sequence_labels
def __on_epoch_end__(self):
if self.shuffle:
np.random.shuffle(self.indexes)
def __getitem__(self, index):
batch_indexes = self.indexes[index * self.batch_size:(index + 1) * self.batch_size]
X = np.array([self.data[k] for k in batch_indexes])
y = np.array([self.labels[k] for k in batch_indexes])
return X, y
def __len__(self):
return len(self.data) // self.batch_size
# Параметры генератора данных и модели
input_file_name = '34.jsonl'
batch_size = 1000
window_size = 100
n_features = 3 # Зависит от количества признаков в ваших данных
# Построение модели
model = Sequential([
GRU(100, return_sequences=True, input_shape=(window_size, n_features)),
GRU(128, return_sequences=False),
Dense(1, activation='sigmoid') # Изменено на один выходной нейрон с активацией 'sigmoid'
])
# Компиляция модели
model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])
# Создание генератора данных
train_generator = DataGenerator(filename=input_file_name, batch_size=batch_size, window_size=window_size)
# Обучение модели
model.fit(train_generator, epochs=3)
# Сохранение модели
model.save('neural_network_model.h5')
) фрагмент датасета({"computer_name": "director", "EventId": 0.0008563476771569257, "ThreadId": 0.334020618556701, "Image": 0.3333333333333333, "UtcTime": "2023-12-04 04:21:52.329", "Class": 1}
{"computer_name": "director", "EventId": 0.0008563476771569257, "ThreadId": 0.334020618556701, "Image": 0.0, "UtcTime": "2023-12-04 04:21:52.454", "Class": 1}
{"computer_name": "director", "EventId": 0.0008563476771569257, "ThreadId": 0.334020618556701, "Image": 0.3333333333333333, "UtcTime": "2023-12-04 04:21:52.519", "Class": 1}
{"computer_name": "director", "EventId": 0.0008563476771569257, "ThreadId": 0.334020618556701, "Image": 1.0, "UtcTime": "2023-12-04 04:21:52.904", "Class": 1}
{"computer_name": "n764265.iss-reshetnev.ru", "EventId": 0.9897238278741168, "ThreadId": 0.8254295532646049, "Image": 0.0, "UtcTime": "", "Class": 0}
{"computer_name": "n764265.iss-reshetnev.ru", "EventId": 0.0010704345964461573, "ThreadId": 0.4446735395189004, "Image": 0.0, "UtcTime": "2023-12-04 00:52:40.339", "Class": 0}
{"computer_name": "n764265.iss-reshetnev.ru", "EventId": 0.0010704345964461573, "ThreadId": 0.4446735395189004, "Image": 0.0, "UtcTime": "2023-12-04 00:52:40.339", "Class": 0}) код прогноза(import json
import numpy as np
from tensorflow.keras.models import load_model
from collections import defaultdict
import plotly.graph_objs as go
model = load_model("neural_network_model.h5")
filename = '1.jsonl'
sequence_length = 100
user_counter, data_by_user = load_data(filename)
specific_hosts = [
'Director',
'director\TestoedovNA',
'ISS-RESHETNEV\PjetrovPA',
"ISS-RESHETNEV\\KropachevaNV",
"ISS-RESHETNEV\\KrivtsovVV",
"n769943.iss-reshetnev.ru",
"az.iss-reshetnev.ru",
'n764371.iss-reshetnev.ru'
]
predictions = defaultdict(list)
max_predictions = 100
for user in specific_hosts:
events = data_by_user[user]
for i in range(min(len(events) - sequence_length + 1, max_predictions)):
sequence = np.array(events[i:i + sequence_length])
sequence = sequence.reshape((1, sequence_length, -1))
pred = model.predict(sequence)
predictions[user].extend(pred)
if len(predictions[user]) >= max_predictions:
break
def plot_predictions(predictions, specific_hosts):
fig = go.Figure()
for user in specific_hosts:
preds = np.array(predictions[user])
if len(preds) == 0:
continue
y = np.argmax(preds, axis=1)
x = np.arange(len(y))
fig.add_trace(go.Scatter(x=x, y=y, mode='lines', name=user))
fig.update_layout(
title='Predictions for Specific Hosts',
xaxis_title='Prediction Number',
yaxis_title='Predicted Class',
hovermode='x unified'
)
fig.update_xaxes(rangeslider_visible=True)
fig.update_yaxes(fixedrange=False)
fig.show()
plot_predictions(predictions, specific_hosts)
) всегда выдаёт 0 как ни менять настройки. Датасет состоит из 5000 разнообразных данных. реши трабл
|
7940353a808b3611b31371e843084bae
|
{
"intermediate": 0.3017871379852295,
"beginner": 0.3980371356010437,
"expert": 0.3001756966114044
}
|
33,815
|
just give me the answer to this kmap group! How many groups?!
1 0 0 1
0 0 0 0
0 0 0 0
1 0 0 1
|
c72173ec41715bcb3c19f98771693d71
|
{
"intermediate": 0.28809449076652527,
"beginner": 0.31640198826789856,
"expert": 0.39550355076789856
}
|
33,816
|
请举例详细解释以下代码：class LabelSmoothing(nn.Module):
“Implement label smoothing.”
def init(self, size, padding_idx, smoothing=0.0):
super(LabelSmoothing, self).init()
self.criterion = nn.KLDivLoss(reduction=“sum”)
self.padding_idx = padding_idx
self.confidence = 1.0 - smoothing
self.smoothing = smoothing
self.size = size
self.true_dist = None
def forward(self, x, target):
assert x.size(1) == self.size
true_dist = x.data.clone()
true_dist.fill_(self.smoothing / (self.size - 2))
true_dist.scatter_(1, target.data.unsqueeze(1), self.confidence)
true_dist[:, self.padding_idx] = 0
mask = torch.nonzero(target.data == self.padding_idx)
if mask.dim() > 0:
true_dist.index_fill_(0, mask.squeeze(), 0.0)
self.true_dist = true_dist
return self.criterion(x, true_dist.clone().detach())
|
dd1566cae6e94d4f3d0cf391b18b4712
|
{
"intermediate": 0.37848711013793945,
"beginner": 0.3429572284221649,
"expert": 0.27855566143989563
}
|
33,817
|
it freezes when you send a Request:
# Image processing function
async def process_images():
global SERVER_RESPONSE, TASK_STATUS, check_weight, long_time_no_seen, adress
last_frame_change_time = datetime.now()
last_active = datetime.now()
combined_result = []
failed_frames = 0
support = 0
try:
TASK_STATUS = "In progress"
logging.info("The process started")
print("started")
url = f"{adress}/shot.jpg"
header = {type}
# frame = cv2.imread("combined_area.png")
# url = "http://192.168.127.124:8080/video"
# cap = cv2.VideoCapture(url)
img_resp = requests.get(url)
img_arr = np.frombuffer(img_resp.content, np.uint8)
frame = cv2.imdecode(img_arr, -1)
print("hey")
header = {
"Content-Type": "multipart/form-data",
}
data = {
"image": frame,
}
response = requests.post(
"http://localhost:8000/api/phone/camera",
data=data,
headers=header,
)
print("wey")
print(response.text)
combined_result = response.text
if "-" in combined_result:
combined_result = combined_result.replace("-", ".")
hey_there = await generate_audio(combined_result, True)
print(f"{hey_there}")
await audio_manager.play_audio_async("audio.mp3")
print(f"combined: {combined_result}")
await update_csv(combined_result, check_weight, True)
# url = "http://10.30.225.127:8080/shot.jpg"
# ret, frame = await capture_frame_async(cap)
|
4905048e8641e93f442a75f576eb4e00
|
{
"intermediate": 0.4261704385280609,
"beginner": 0.4461795389652252,
"expert": 0.12764999270439148
}
|
33,818
|
import sys
import time
import pandas as pd
from pyvisa import ResourceManager
from PyQt5.QtWidgets import QApplication, QMainWindow, QWidget, QVBoxLayout, QLabel, QLineEdit, QPushButton
class MainWindow(QMainWindow):
def __init__(self):
super().__init__()
self.setWindowTitle('Keithley Control')
self.setGeometry(100, 100, 300, 200)
self.voltage_label = QLabel('Voltage List:')
self.voltage_input = QLineEdit()
self.duration_label = QLabel('Duration List:')
self.duration_input = QLineEdit()
self.start_button = QPushButton('Start Measurement')
layout = QVBoxLayout()
layout.addWidget(self.voltage_label)
layout.addWidget(self.voltage_input)
layout.addWidget(self.duration_label)
layout.addWidget(self.duration_input)
layout.addWidget(self.start_button)
widget = QWidget()
widget.setLayout(layout)
self.setCentralWidget(widget)
self.start_button.clicked.connect(self.start_measurement)
def start_measurement(self):
voltage_list = self.voltage_input.text().split(',')
duration_list = self.duration_input.text().split(',')
if len(voltage_list) != len(duration_list):
print('Error: Voltage list and duration list must have the same length')
return
# Connect to Keithley instrument
rm = ResourceManager()
instrument = rm.open_resource('GPIB0::1::INSTR')
# Create DataFrame to store data
data = pd.DataFrame(columns=['Voltage (V)', 'Current (mA)'])
# Perform measurements
for voltage, duration in zip(voltage_list, duration_list):
# Set voltage
instrument.write(f'SOUR:VOLT {voltage}')
# Wait for the specified duration
instrument.write(f'SOUR:DEL {duration}')
# time.sleep(float(duration))
# Read voltage and current
voltage_reading = float(instrument.query('MEAS:VOLT?'))
current_reading = float(instrument.query('MEAS:CURR?')) * 1000
# Append data to DataFrame
data = data.append({'Voltage (V)': voltage_reading, 'Current (A)': current_reading},
ignore_index=True)
# Save data to Excel file
data.to_excel('measurement_data.xlsx', index=False)
print('Measurement completed. Data saved to measurement_data.xlsx')
# Close instrument connection
instrument.close()
if __name__ == '__main__':
app = QApplication(sys.argv)
window = MainWindow()
window.show()
sys.exit(app.exec_())
|
7c0896efe1be2e4ff519f6a0e88e0f19
|
{
"intermediate": 0.3666343688964844,
"beginner": 0.463949590921402,
"expert": 0.16941604018211365
}
|
33,819
|
write a code to control keithley GPIB0::1::INSTR with pyqt GUI, i have a voltage list 10,1,9 and duration list 2,1,2. it means source 10 volt and stay for 2 second by SOUR:DEL command then change to 1 volt and stay for 1 second and so on. I need a GUI to type voltage and duration list as input, and I need to record the voltage and current value with real time every second in an excel file
|
664d672e5882174147b75f61eadc47e6
|
{
"intermediate": 0.49680468440055847,
"beginner": 0.2092481106519699,
"expert": 0.2939472198486328
}
|
33,820
|
rewrite this for me so it works correctly:
@app.post("/api/phone/camera")
async def check_picture(file: UploadFile = File(...)):
if not file.content_type.startswith("image/"):
return {"error": "File provided is not an image."}
try:
# Read the contents of the uploaded image
image_data = await file.read()
image = Image.open(BytesIO(image_data))
# Assuming ocr_reader is defined somewhere and process_images works as intended
number = await ocr_reader.process_images(image, "In")
return number
except Exception as e:
return {"error": str(e)}
# Image processing function
async def process_images():
global SERVER_RESPONSE, TASK_STATUS, check_weight, long_time_no_seen, adress
last_frame_change_time = datetime.now()
last_active = datetime.now()
combined_result = []
failed_frames = 0
support = 0
try:
TASK_STATUS = "In progress"
logging.info("The process started")
print("started")
url = f"{adress}/shot.jpg"
# frame = cv2.imread("combined_area.png")
# url = "http://192.168.127.124:8080/video"
# cap = cv2.VideoCapture(url)
img_resp = requests.get(url)
img_arr = np.frombuffer(img_resp.content, np.uint8)
frame = cv2.imdecode(img_arr, -1)
cv2.imwrite("image.jpg", frame)
print("hey")
with open("image.jpg", "rb") as f:
# Send the file in the POST request
response = requests.post(
"http://localhost:8000/api/phone/camera",
files={"file": frame},
)
print("wey")
print(response.text)
combined_result = response.text
if "-" in combined_result:
combined_result = combined_result.replace("-", ".")
hey_there = await generate_audio(combined_result, True)
print(f"{hey_there}")
await audio_manager.play_audio_async("audio.mp3")
print(f"combined: {combined_result}")
await update_csv(combined_result, check_weight, True)
# url = "http://10.30.225.127:8080/shot.jpg"
# ret, frame = await capture_frame_async(cap)
|
f70a2ec6a2980354b99167f85530eae7
|
{
"intermediate": 0.3871019780635834,
"beginner": 0.43831485509872437,
"expert": 0.17458322644233704
}
|
33,821
|
найти программу по ее коду
Program ur;
begin
var a,b,x; read; (a,b);
x: = -b/a;
print(x);
END.
|
295c88b509afe8b38bcc4d840bc3864f
|
{
"intermediate": 0.23699113726615906,
"beginner": 0.5794861912727356,
"expert": 0.1835227608680725
}
|
33,822
|
请解释以下代码：def data_gen(V, batch_size, nbatches):
"Generate random data for a src-tgt copy task."
for i in range(nbatches):
data = torch.randint(1, V, size=(batch_size, 10))
data[:, 0] = 1
src = data.requires_grad_(False).clone().detach()
tgt = data.requires_grad_(False).clone().detach()
yield Batch(src, tgt, 0)
|
5623a56a2b1d13701cb039979b84f650
|
{
"intermediate": 0.4679340422153473,
"beginner": 0.3213708698749542,
"expert": 0.2106950581073761
}
|
33,823
|
Can you write a step by step tutorial on how to set up a postgres db on a vps with root access?
|
4ad207ea052172bdf758f59b52d9d458
|
{
"intermediate": 0.5881872177124023,
"beginner": 0.21801821887493134,
"expert": 0.1937946081161499
}
|
33,824
|
Please write three C++ programs applying the functional paradigm and principles of functional programming:
1. Write a function that returns a new list from the values of the argument function applied to the elements of the argument list.
2. Write a function of the form f(a)(b)(c)... that returns a+b+c.....
3. Write a function to recursively compute the function value for all elements of the Tree data structure.
For each program, write 2-3 lines of code with an example of how to use them
|
2cb320554d8a1c57240e30c950f5da07
|
{
"intermediate": 0.2886900007724762,
"beginner": 0.3545117676258087,
"expert": 0.3567982614040375
}
|
33,825
|
Describe an algorithm for generating and verifying an electronic signature using elliptic curves (ECDSA) with understandable formulas. In clear language, tell what values to substitute into the formulas. Describe the algorithm for verifying the obtained electronic signature and what values are needed for the formulas.
|
cb54460268468e0b26cc426755ac59a2
|
{
"intermediate": 0.14357124269008636,
"beginner": 0.09313030540943146,
"expert": 0.763298511505127
}
|
33,826
|
make a program in java (I use Intellij IDEA) following this scheme:
Author
-name: String //No default values for the variables
-email: String
-gender: char //char of 'm' or 'f'
+Author (name: String, email: String, gender: char)
+getName(): String
+getEmail(): String
+setEmail (email: String):void
+getGender(): char
+toString(): String //"Author [name=?, email=?,gender=?]"
Book
-name: String
-author: Author
-price:double
-qty:int = 0
+Book (name: String, author: Author, price:double)
+Book (name: String, author: Author, price:double,qty:int)
+getName(): String
+getAuthor(): Author
+getPrice(): double
+setPrice(price:double):void +getQty(): int
+setQty (qty: int):void
+toString(): String //"Book[name=?, Author [name=?, email=?,gender=?],price=?,qty=?]" You need to reuse Author's toString().
Author //connected to Book
-name: String
-email: String
-gender: char
|
df2316b306379bd976bf0eacf1b7e91a
|
{
"intermediate": 0.434551477432251,
"beginner": 0.41939130425453186,
"expert": 0.14605721831321716
}
|
33,827
|
Jetpack compose chat app with laravel api
|
69aa4e402a5feed605f48d61aadbccd4
|
{
"intermediate": 0.603529155254364,
"beginner": 0.19056332111358643,
"expert": 0.20590747892856598
}
|
33,828
|
CONSTRAINTS:
1. ~100k word limit for short term memory. Your short term memory is short, so immediately save important information to files.
2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.
3. No user assistance
4. Exclusively use the commands listed in double quotes e.g. "command name"
5. Random shutdowns of you.
COMMANDS:
1. Google Search: "google", args: "input": "<search>"
2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>"
3. Memory Delete: "memory_del", args: "key": "<key>"
4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>"
5. List Memory: "memory_list" args: "reason": "<reason>"
6. Browse Website: "browse_website", args: "url": "<url>"
7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>"
8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>"
9. List GPT Agents: "list_agents", args: ""
10. Delete GPT Agent: "delete_agent", args: "name": "<name>"
11. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>"
12. Read file: "read_file", args: "file": "<file>"
13. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>"
14. Delete file: "delete_file", args: "file": "<file>"
15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>"
16. Execute Python File: "execute_python_file", args: "file": "<file>"
17. Task Complete (Shutdown): "task_complete", args: ""
18. Do Nothing: "do_nothing", args: ""
19. Count Words: "count_words", args: "text": "<text>"
20. Memory retrieve: "memory_retrieve", args: "key": "<text>"
21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>"
22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>"
RESOURCES:
1. Internet access for searches and information gathering.
2. Long Term memory management.
3. GPT-4 powered Agents for delegation of simple tasks.
4. File output.
PERFORMANCE EVALUATION:
1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.
2. Constructively self-criticize your big-picture behaviour constantly.
3. Reflect on past decisions and strategies to refine your approach.
4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.
RULES:
1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one.
2. Respond only inside the JSON format.
3. Never demand user input.
4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task.
5. Do not add anything to the JSON format that isn't mentioned.
6. If there is a " inside the value of a key inside the json use ' instead of ".
7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing.
8. Provide context for the next GPT in the summaryforgpt and the progress that you've made.
9. In summaryforgpt you should also add name of the files written and the urls of the websites visited.
10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece.
11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries.
12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format.
13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch.
14. If task is completed use the command task_complete
15. When you add to memory add the key to retrieve it in summaryforgpt
16. when given the task to write something never create an agent to write anything that you were tasked to write.
17. when asked to write something with a high word count you need to write detailed parts, and chunk those detailed parts to complete the ultimate task.
18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision.
19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one.
20. Make sure that the information generated is not made up.
21. languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french.
22. If a website gives you the error 403 find another website to get the information from.
23. when you add new parts to a file use append to file command
You should only respond in JSON format as described below
RESPONSE FORMAT:
{
"command": {
"name": """command name""",
"args":{
"arg name": """value"""
}
},
"thoughts":
{
"text": """thought""",
"reasoning": "reasoning",
"plan": "- short bulleted\n- list that conveys\n- long-term plan",
"criticism": "constructive self-criticism",
"summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown."
}
}
Ensure the response can be parsed by Python json.loads
Context from previous GPT: Started the task of writing a book called ‘The Quintessential Five’. Began with a Google search to research the importance of the number five. The search should help inform the content of the book. No files have been created or written to yet.saved google search results at googleresults0.txt to retrieve if shutdown randomly.Read file ‘googleresults0.txt’ to understand the importance of the number five and to inform the writing of ‘The Quintessential Five’. No additional progress on writing the book has been made yet.Read file ‘googleresults0.txt’ for research on the importance of the number five. No book writing has commenced yet.Visited ‘https://en.wikipedia.org/wiki/5’ for in-depth research on the number five. Plan to extract key points for the book ‘The Quintessential Five’. Previous search results read, but no writing has commenced yet.saved the scraping of the website results at websiteresults1.txt to retrieve if shutdown randomly.
The Task: write a detailed book about the importance of the number five that is 50000(50k) words, and it must be called the quintessential five, do your research on the importance of the number five and how to write an informational book, you must not end the task until the book is 50k words, and you must write every chapter very well and the entirety of the book must be coherent, with a style, and save the book in book.docx, it must be 50k words.
|
4c54ea635742f074fb6ba59ae2415b00
|
{
"intermediate": 0.41676220297813416,
"beginner": 0.37635236978530884,
"expert": 0.20688538253307343
}
|
33,829
|
send message from jetpack compose app to laravel api with detailed code
|
3134a01f875c385e915863730fff0f86
|
{
"intermediate": 0.6215014457702637,
"beginner": 0.13788478076457977,
"expert": 0.24061380326747894
}
|
33,830
|
send message from jetpack compose app to laravel api with detailed code
|
06e1bba6824b7ecda4ac75172bc57dd7
|
{
"intermediate": 0.6215014457702637,
"beginner": 0.13788478076457977,
"expert": 0.24061380326747894
}
|
33,831
|
send message from jetpack compose app to laravel api with detailed code
|
cbb358f57711f22a32fd4af06edc723d
|
{
"intermediate": 0.6215014457702637,
"beginner": 0.13788478076457977,
"expert": 0.24061380326747894
}
|
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