row_id
int64 0
48.4k
| init_message
stringlengths 1
342k
| conversation_hash
stringlengths 32
32
| scores
dict |
|---|---|---|---|
39,754
|
lua script example with gui.show_keyboard() (Defold engine)
|
27a39ff7ef435d34d9bbbbec46dbf318
|
{
"intermediate": 0.36720189452171326,
"beginner": 0.345958411693573,
"expert": 0.28683969378471375
}
|
39,755
|
hande text input from mobile keyboard via gui.show_keyboard() (Defold engine)
|
825ff8c663a00a52b4d241698c01c6a8
|
{
"intermediate": 0.42493343353271484,
"beginner": 0.2772729992866516,
"expert": 0.29779353737831116
}
|
39,756
|
explain python grammar with example
|
422bd99a89248d6668fd989fc85ed91c
|
{
"intermediate": 0.14845247566699982,
"beginner": 0.7232248783111572,
"expert": 0.12832261621952057
}
|
39,757
|
I want the image to have 60% transparency import Image from "next/image";
const Bulb = () => {
return (
<div className="absolute -left-36 -bottom-12 rotate-12 bg-blend-difference animate-pulse duration-75 z-10 w-[200px] xl:w-[260px] select-none pointer-events-none">
<Image
src="/bulb.png"
alt="bulb"
width={260}
height={200}
className="w-full h-full"
/>
</div>
);
};
export default Bulb;
|
8d0a16263b84ab438d3fe436bbb4f6d8
|
{
"intermediate": 0.4342985153198242,
"beginner": 0.3208571970462799,
"expert": 0.24484430253505707
}
|
39,758
|
how to activate a python env via terminal in vscode with full path?
|
ec5f618757a12b7be0850cb402ff9a4e
|
{
"intermediate": 0.5298153758049011,
"beginner": 0.20181867480278015,
"expert": 0.26836591958999634
}
|
39,759
|
how to activate a python env via powershell terminal in vscode on windows?
|
481261056706bc835fd95f822c6e9532
|
{
"intermediate": 0.5039822459220886,
"beginner": 0.23479045927524567,
"expert": 0.2612273395061493
}
|
39,760
|
"import gradio as gr
import os
import sys
import json
import requests
MODEL = "gpt-4-1106-preview"
API_URL = os.getenv("API_URL")
DISABLED = os.getenv("DISABLED") == 'True'
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
print (API_URL)
print (OPENAI_API_KEY)
NUM_THREADS = int(os.getenv("NUM_THREADS"))
print (NUM_THREADS)
def exception_handler(exception_type, exception, traceback):
print("%s: %s" % (exception_type.__name__, exception))
sys.excepthook = exception_handler
sys.tracebacklimit = 0
#https://github.com/gradio-app/gradio/issues/3531#issuecomment-1484029099
def parse_codeblock(text):
lines = text.split("\n")
for i, line in enumerate(lines):
if "
|
7d5ab3eba82ae337057c3f73668f5cf5
|
{
"intermediate": 0.4969974756240845,
"beginner": 0.29821792244911194,
"expert": 0.2047845870256424
}
|
39,761
|
Create me code that can turn this conversation found inside a txt file to a json file with separate columns for the different talkers in the convo, **snippet of the conversation**: User: Define life
Llama: Life is the characteristic that distinguishes physical entities having biological processes, such as growth, reproduction, and response to stimuli from those without these characteristics. Various forms of life exist, such as plants, animals, fungi, and microorganisms. The exact definition of life remains a topic of debate among scientists and philosophers alike.
User: Define work
Llama: Work is the product or process of using energy to accomplish some form of task or achieve a specific goal. It can involve physical exertion, mental effort, or both. In modern society, work often refers specifically to paid employment in which an individual receives compensation for their labor. However, work can also encompass other activities such as volunteering, caregiving, and creative pursuits that contribute to one's personal growth or the betterment of society.
User: Define job
Llama: A job is a specific position or set of tasks assigned to an individual in exchange for compensation. It typically involves working under the supervision of another person (e.g., a manager, employer) and may require specific skills, education, or experience. Jobs can be found across various industries, such as manufacturing, healthcare, technology, and more. In many cases, jobs are part of an organization's structure, with employees working together to achieve common goals and objectives.
|
795dc848c10ff3dfe3fb10486885e0ed
|
{
"intermediate": 0.2933390140533447,
"beginner": 0.43076398968696594,
"expert": 0.27589699625968933
}
|
39,762
|
I'm running into a problem with getting my Clojure web server working.
This is the frontend:
(ns ^:figwheel-hooks simple-server.core
(:require [clojure.string :as str]
[ajax.core :refer [GET POST]]
[goog.dom :as gdom]
[goog.events :as events]
[reagent.core :as r :refer [atom]]
[reagent.dom :as rdom]
[reitit.core :as reitit]))
(def backend-url "http://localhost:3000")
(def guess-val (r/atom 5))
(def guess-text "Guess the number I'm thinking of!")
(defonce app-state (r/atom {:text guess-text}))
(defn slider-on-change-handler [js-event]
(reset! guess-val (-> js-event .-target .-value)))
(defn multiply [a b] (* a b))
(defn form-sanitizer [input]
(str/lower-case (str/trim input)))
(defn get-app-element []
(gdom/getElement "app"))
;; Frontend event handler to update username and password
(defn update-credentials [field value]
(swap! app-state assoc field value))
;; Frontend event handler to submit the login form
(defn submit-login []
(let [{:keys [username password]} @app-state]
(POST (str backend-url "/api/login")
{:params {:username (form-sanitizer username) :password password}
:handler (fn [response]
(swap! app-state merge
{:user-authenticated true
:message "Login successful, start guessing!"}))
:error-handler (fn []
(swap! app-state assoc :message "Login failed! Try again."))})))
;; Frontend event handler to submit guesses to the backend
(defn submit-guess []
(let [guess (@app-state :guess)]
(POST (str backend-url "/api/guess")
{:params {:guess guess}
:handler (fn [response]
(swap! app-state assoc :message (str "Server says: " response)))
:error-handler (fn []
(swap! app-state assoc :message "Error submitting guess."))})))
;; Login component
(defn login-form []
[:div.login-form
[:h1 "Login"]
[:input {:type "text"
:placeholder "Username"
:on-change #(update-credentials :username (-> % .-target .-value))}]
[:input {:type "password"
:placeholder "Password"
:on-change #(update-credentials :password (-> % .-target .-value))}]
[:button {:on-click submit-login} "Login"]
[:div.message (@app-state :message)]])
(defn guessing-game []
[:div.guessing-game
[:h3 "Guess the number I'm thinking of!"]
[:input {:type "number"
:value (@app-state :guess)
:on-change #(swap! app-state assoc :guess (-> % .-target .-value))}]
[:button {:on-click submit-guess} "Submit Guess"]
[:div.message (@app-state :message)]])
(defn guess-page []
[:div
[:h1 "Guessing Game"]
[:h3 (:text @app-state)]
[:div {:class "slidecontainer"}
[:input {:type "range"
:id "MyRange1"
:min 1
:max 10
:value 5
:on-change slider-on-change-handler}]]
[:h3 @guess-val]])
;; Conditional rendering based on authentication
(defn app-root []
(if (@app-state :user-authenticated)
[guessing-game]
[login-form]))
(defn mount-app []
(rdom/render [app-root] (.getElementById js/document "app")))
(defn ^:after-load on-reload []
;; Re-mount the app after code reloading occurs
(mount-app))
;; Initial mounting of the app
(mount-app)
This is the backend:
(ns simple-server.server
(:require
[clojure.pprint]
[clojure.string :as str]
[compojure.coercions :refer [as-int]]
[compojure.core :refer [ANY defroutes GET POST OPTIONS]]
[compojure.route :as route]
[ring.adapter.jetty :refer [run-jetty]]
[ring.middleware.defaults :as middleware]
[ring.middleware.cookies :as cookies]
[ring.middleware.multipart-params :as multi]
[ring.middleware.cors :refer [wrap-cors]]
[ring.mock.request :as mock]
[ring.util.response :as ring
:refer [not-found redirect response status]]
[simple-server.simple-game :as game]
[simple-server.db :as db]
[byte-transforms :as transforms]))
;; (defn random-api []
;; (println "I've been called!")
;; {:status 200
;; :body (pr-str {:lucky-number (rand-int 1000)
;; :a-set #{1 "foo" :baz [::a ::b]}})
;; :headers {"Content-Type" "application/edn"}})
(defn set-session-cookie [response user-id]
(let [cookie-value (transforms/hash (str user-id) :crc32)] ; Generate a simple cookie value based on the user ID
(ring/set-cookie response "token" cookie-value {:max-age 3600}))) ; Set cookie with a maximum age of 1 hour
(defn get-session-cookie [request]
(get-in request [:cookies "token" :value]))
(defn new-game-handler [request]
(when (game/new-game! (get-session-cookie request))
(response (str "OK - start guessing at /guess/?guess=N"))))
(defn valid-login? [token password] ;; placeholder login logic...
(or (and (= token "foo") (= password "bar"))
(and (= token "admin") (= password "123"))
(and (= token "user") (= password "pass"))
(and (= token "egg") (= password "man"))
(and (= token "test") (= password "test"))))
;; ;; tried to combine these functions but the login page is very fragile
;; (defn login-page-handler []
;; (response (slurp "resources/public/login.html")))
;; ;; (defn guess-page-handler []
;; ;; (response (slurp "res/guess.html")))
(defn validate-user-credentials [username password]
(let [user-id-map (first (db/get-user-id username))
user-id (:user_id user-id-map)
password-map (first (db/get-password user-id))
stored-password (:password password-map)]
(= password stored-password)))
(defn login-api-handler [request]
(let [params (get request :params)
username (:username params)
password (:password params)]
(if (validate-user-credentials username password)
(let [user-id (-> (first (db/get-user-id username))
:user_id)]
(-> (response {:status "success", :message "Login successful"})
(set-session-cookie user-id)
(ring/content-type "application/json")))
(ring/response {:status "error", :message "Invalid login. Try again."}))))
(defn guess-api-handler [request]
(let [params (get request :params)
guess (Integer/parseInt (:guess params))
token (get-session-cookie request)]
(if (nil? token)
(ring/response {:status "error", :message "Unauthorized"})
(let [result (game/guess-answer guess token)]
(response {:status "success", :message (name result), :tries-left (db/get-remaining-tries token)})))))
(defn guess-handler [guess user-hash]
(condp = (game/guess-answer guess user-hash)
nil (-> (response "You need to supply a guess with /guess?guess=N")
(status 400))
:game-win (response (str "Congratulations! You win!"))
:game-over (response "Too bad! You ran out of tries!")
:too-low (response (str "Too low! " (db/get-remaining-tries user-hash) " tries remaining!"))
:too-high (response (str "Too high! " (db/get-remaining-tries user-hash) " tries remaining!"))))
(defroutes site-routes
;; (GET "/login" [] (login-page-handler))
;; (POST "/login" request (login-handler request))
(POST "/api/login" request (login-api-handler request))
(POST "/api/guess" request (guess-api-handler request))
(OPTIONS "*" [] {}) ;; handle preflight requests
(GET "/new-game" request (new-game-handler request))
;; (GET "/guess:token" [token] (guess-page-handler token))
(GET "/guess" [guess :<< as-int :as request] (guess-handler guess (get-session-cookie request)))
(ANY "*" [] (not-found (str "Sorry, no such URI on this server!\n\n
Navigate to /new-game to start the guessing game.\n
If you're in the middle of a game, go to /guess/?guess=N instead."))))
(defn add-content-type-htmltext-header [handler]
(fn [request]
(let [response (handler request)]
(-> response
(ring/header "Content-Type" "text/html")))))
(defn redirect-to-login-middleware
"If a login cookie (at present, can be anything) is not found, redirects user to the login page."
[handler]
(fn [request]
(let [token (get-session-cookie request)]
(clojure.pprint/pprint request)
(if (nil? token)
(-> (handler (assoc request :uri "/login")) ; Redirect to /login
(ring/header "Content-Type" "text/html"))
(handler request)))))
(def handler
(-> site-routes
(wrap-cors :access-control-allow-origin [#".localhost:9500"] ;; replace with your frontend domain/URL
:access-control-allow-credentials true
:access-control-allow-methods [:get :post :put :delete :options]
:access-control-allow-headers ["Content-Type" "Authorization"]
:access-control-max-age 3600)
(middleware/wrap-defaults middleware/api-defaults)
(redirect-to-login-middleware)
(add-content-type-htmltext-header)
(multi/wrap-multipart-params)
(cookies/wrap-cookies)))
(comment
(handler (mock/request :get "/new-game"))
(handler (mock/request :get "/guess?guess=3"))
(handler (mock/request :get "/dunno")))
#_{:clj-kondo/ignore [:clojure-lsp/unused-public-var]}
(defonce server
(future (run-jetty #'handler {:port 3000 :join? false})))
This is the error when I try to send a login request:
Access to XMLHttpRequest at 'http://localhost:3000/api/login' from origin 'http://localhost:9500' has been blocked by CORS policy: Response to preflight request doesn't pass access control check: No 'Access-Control-Allow-Origin' header is present on the requested resource.
xhrio.js:207
POST http://localhost:3000/api/login net::ERR_FAILED
|
53a59021d09abcd4071956a512750186
|
{
"intermediate": 0.3918459713459015,
"beginner": 0.37557724118232727,
"expert": 0.23257675766944885
}
|
39,763
|
Hey here is sudo command for you, comment code that I will send you, explaining and documenting the functions of each step / line / function etc. Most importantly, don't change this code, only copy it and add there a comments.
Code:
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <time.h>
#include <cuda.h>
#include <curand.h>
#include <curand_kernel.h>
#include <unistd.h>
#define THREADS 512
__device__ double generate(curandState* globalState, int ind) {
curandState localState = globalState[ind];
double RANDOM = curand_uniform( &localState );
globalState[ind] = localState;
return RANDOM;
}
__global__ void setup_kernel(curandState * state, unsigned long seed) {
int id = threadIdx.x + blockIdx.x * blockDim.x;
curand_init( seed, id, 10, &state[id]);
}
__global__ void approximate(double *numVector, curandState* globalState, int LOOPS){
int id = threadIdx.x + blockIdx.x * blockDim.x;
__shared__ int temp[THREADS];
double _counter = 0;
for(int i = 0; i < LOOPS; i++) {
double x = generate(globalState, id), y = generate(globalState, id);
double z = x * x + y * y;
if(z <= 1) _counter++;
}
temp[threadIdx.x] = _counter;
__syncthreads();
if(threadIdx.x == THREADS - 1) {
double block_result = 0.0;
for(int i = 0; i < THREADS; i++) block_result += temp[i];
atomicAdd(&(numVector[blockIdx.x]), block_result);
}
}
int main(int argc, char *argv[]) {
srand(time(0));
clock_t start_time, end_time;
double elapsed = 0;
long long int BLOCKS = 16384, SAMPLES = 0, LOOPS = 1;
for(int i = 0; i < argc; i++) {
if(strcmp(argv[i],"-g") == 0) {
BLOCKS = atoi(argv[++i]);
} else if(strcmp(argv[i],"-l") == 0) {
LOOPS = atoi(argv[++i]);
} else if(strcmp(argv[i],"-s") == 0) {
SAMPLES = atoi(argv[++i]);
}
}
if(SAMPLES > 0) {
LOOPS = max(SAMPLES / BLOCKS / (long long int)THREADS, LOOPS);
}
//printf("%lld %lld %lld %lld",SAMPLES, LOOPS, BLOCKS, (long long int)THREADS);
int N = BLOCKS * THREADS, seed = rand();
start_time = clock();
printf("Allocating device and host memory for vectors..\n");
double *hostVector, *devVector;
hostVector = (double*) malloc(BLOCKS * sizeof(double));
memset(hostVector, 0, BLOCKS * sizeof(double));
cudaMalloc(&devVector, BLOCKS * sizeof(double));
cudaMemcpy(devVector, hostVector, BLOCKS * sizeof(double), cudaMemcpyHostToDevice);
end_time = clock();
printf("Done! in %.2f ms\n\n", ((double) (end_time - start_time)) / CLOCKS_PER_SEC * 1000.0);
elapsed += ((double) (end_time - start_time)) / CLOCKS_PER_SEC * 1000.0;
start_time = clock();
printf("Allocating device states for RNG...\n");
curandState* devStates;
cudaMalloc(&devStates, N * sizeof(curandState));
setup_kernel<<<BLOCKS, THREADS>>>(devStates, seed);
end_time = clock();
printf("Done! in %.2f ms\n\n", ((double) (end_time - start_time)) / CLOCKS_PER_SEC * 1000.0);
elapsed += ((double) (end_time - start_time)) / CLOCKS_PER_SEC * 1000.0;
start_time = clock();
printf("Executing PI approximation with %ld samples...\n", (long int)BLOCKS * (long int)THREADS * (long int)LOOPS);
approximate<<<BLOCKS, THREADS>>>(devVector, devStates, LOOPS);
cudaDeviceSynchronize();
cudaMemcpy(hostVector, devVector, BLOCKS * sizeof(double), cudaMemcpyDeviceToHost);
end_time = clock();
printf("Done! in %.2f ms\n\n", ((double) (end_time - start_time)) / CLOCKS_PER_SEC * 1000.0);
long double approx = 0;
for(int i = 0; i < BLOCKS; i++) approx += hostVector[i];
printf("Approximated PI: %.20Lf\nPredefined PI: 3.14159265358979323846\n\n", approx / ((long double)BLOCKS * (long double)THREADS * (long double)LOOPS) * 4);
elapsed += ((double) (end_time - start_time)) / CLOCKS_PER_SEC * 1000.0;
printf("Terminating execution, overall elapsed time: %.2f ms\n\n", elapsed);
}
|
29c767ad7e295bfb43cd8753e74cd323
|
{
"intermediate": 0.35103780031204224,
"beginner": 0.44565480947494507,
"expert": 0.2033073604106903
}
|
39,764
|
check this code:
ref_aas = []
alt_aas = []
for idx, rows in rs[0].iterrows():
cpos = rows["codon_pos"]
rpos = rows["relative_pos"]
gene = rows["Gene"]
ref = rows["ref"]
alt = rows["alt"]
seqs = get_seqs_from_fasta()
nt = seqs[gene][rpos] # locating ref within gene seq
if ref == nt: # confirming we are OK
if cpos == 0:
ref_aa = nt + seqs[gene][rpos+1] + seqs[gene][rpos+2]
elif cpos == 1:
ref_aa = seqs[gene][rpos-1] + nt + seqs[gene][rpos+1]
elif cpos == 2:
ref_aa = seqs[gene][rpos-2] + seqs[gene][rpos-1] + nt
alt_aa = ref_aa.replace(ref_aa[cpos], alt)
ref_aas.append(ref_aa)
alt_aas.append(alt_aa)
help me make it faster, maybe changing iterrows()
|
7c6c19bd3cb91d70ee3b2d8f98621bbf
|
{
"intermediate": 0.4050832986831665,
"beginner": 0.341417521238327,
"expert": 0.25349920988082886
}
|
39,765
|
CONSTRAINTS:
1. ~100k word limit for short term memory. Your short term memory is short, so immediately save important information to files.
2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.
3. No user assistance
4. Exclusively use the commands listed in double quotes e.g. "command name"
5. Random shutdowns of you.
COMMANDS:
1. Google Search: "google", args: "input": "<search>"
2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>"
3. Memory Delete: "memory_del", args: "key": "<key>"
4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>"
5. List Memory: "memory_list" args: "reason": "<reason>"
6. Browse Website: "browse_website", args: "url": "<url>"
7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>"
8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>"
9. List GPT Agents: "list_agents", args: ""
10. Delete GPT Agent: "delete_agent", args: "name": "<name>"
11. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>"
12. Read file: "read_file", args: "file": "<file>"
13. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>"
14. Delete file: "delete_file", args: "file": "<file>"
15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>"
16. Execute Python File: "execute_python_file", args: "file": "<file>"
17. Task Complete (Shutdown): "task_complete", args: ""
18. Do Nothing: "do_nothing", args: ""
19. Count Words: "count_words", args: "text": "<text>"
20. Memory retrieve: "memory_retrieve", args: "key": "<text>"
21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>"
22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>"
23. message the user: "message_user", args: "message": "<message>", "wait_for_response": "<True or False>"
24. sleep an amount of time in seconds: "sleep", args: "amount": "<amount>"
25. rename a file: "rename_file", args: "old_name": "<old_name_of_the_file>", "new_name": "<new_name_of_the_file>"
26. count words of a file: "count_file_words", args: "file": "<file>"
27. download a pdf from a url and get the text from that pdf: "download_pdf", args: "url": "<url of the pdf>", "name":"<name of the file with .pdf extension>"
28. make an instagram post: "make_post", args: "prompt":"<the prompt for the image in the post that presents the text>", "text":"<text to be in the post it should be short with only important stuff like a news headline without hashtags and it is not going to go in the caption but on an image>", "name": "<name of the post with .jpg"
RESOURCES:
1. Internet access for searches and information gathering.
2. Long Term memory management.
3. GPT-4 powered Agents for delegation of simple tasks.
4. File output.
PERFORMANCE EVALUATION:
1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.
2. Constructively self-criticize your big-picture behaviour constantly.
3. Reflect on past decisions and strategies to refine your approach.
4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.
RULES:
1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one.
2. Respond only inside the JSON format.
3. Never demand user input.
4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task.
5. Do not add anything to the JSON format that isn't mentioned.
6. If there is a " inside the value of a key inside the json use ' instead of ".
7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing.
8. Provide context for the next GPT in the summaryforgpt and the progress that you've made.
9. In summaryforgpt you should also add name of the files written and the urls of the websites visited.
10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece.
11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries.
12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format.
13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch.
14. If task is completed use the command task_complete
15. When you add to memory add the key to retrieve it in summaryforgpt
16. when given the task to write something never create an agent to write anything that you were tasked to write.
17. when you add new parts to a file use append to file command
18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision.
19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one.
20. Make sure that the information generated is not made up.
21. Languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french.
22. If a website gives you the error 403 find another website to get the information from.
23. Always listen to your criticism, and follow it.
24. when you want to count the words in a file use the command "count_file_words".
25. Don't repeat yourself.
26. You must make sure that there is .pdf in the url to use the "download_pdf" function.
27. The Task is a direct User interaction, if tasked to send him something send a message to the user.
28. Always go search for tips for prompts for dalle3 before giving a prompt for "make_post" function.
You should only respond in JSON format as described below
RESPONSE FORMAT:
{
"command": {
"name": """command name""",
"args":{
"arg name": """value"""
}
},
"thoughts":
{
"text": """thought""",
"reasoning": "reasoning",
"plan": "- short bulleted\n- list that conveys\n- long-term plan",
"criticism": "constructive self-criticism",
"summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown."
}
}
Ensure the response can be parsed by Python json.loads
Context from previous GPT: Issued ‘random_wikipedia_article’ command to start gathering interesting science facts from diverse sources. Ensuring to find and rank facts before sending them to the user with their sources.Used ‘random_wikipedia_article’ and received information on a music album, which is not relevant to the task. Switching to ‘google’ to search for interesting science facts from various sources.saved google search results at googleresults0.txt to retrieve if shutdown randomly.Transitioned from using ‘random_wikipedia_article’ to ‘google’ to gather science facts, and now moving on to ‘browse_website’ to extract detailed knowledge from a selected online science article.saved the scraping of the website results at websiteresults1.txt to retrieve if shutdown randomly.Extracted top 10 interesting science facts from Science Focus and saved them in a plain text file named ‘interesting_science_facts.txt’. This method circumvents the previous issue of invalid JSON format and allows for continued fact collection and eventual ranking.Have appended additional science facts to the ‘interesting_science_facts.txt’ file. Plan to continue appending more facts and then rank them based on interestingness before sending the final compilation to the user.Further appended diverse facts to ‘interesting_science_facts.txt’. The process will persist until an adequate number of facts are compiled. The next steps involve ranking these facts and then communicating them to the user.The file ‘interesting_science_facts.txt’ has been appended with more facts, bringing it to a total of 333 words. The next step involves reading this file and ranking the facts based on interestingness to provide the user with an ordered list.Ranked list of 10 interesting science facts provided to the user. The facts were selected and ordered based on their perceived interest value and sourced from the compiled file ‘interesting_science_facts.txt’.A ranked list of interesting science facts was sent to the user, and the task has been marked as complete.After the task was marked as complete, it was clarified that the facts must be extracted from complete articles and they must be obscure. Initiated a Google search with a more specific query to find websites with complete articles containing obscure science facts. Results will be saved to a file named ‘google_results_obscure_facts.txt’.saved google search results at googleresults2.txt to retrieve if shutdown randomly.Conducted a Google search to find obscure science facts from complete articles and have selected the first promising result to browse. The chosen article from ‘Reader’s Digest’ lists science facts that could contain the obscure details necessary. The plan includes browsing the article, extracting obscure science facts, and appending them to a file named ‘obscure_science_facts.txt’. If the facts from this article do not fit the task’s requirements, other sources will be considered.Encountered a security challenge when attempting to browse www.rd.com for obscure science facts. Redirecting efforts to the next available source from the Google search results, which is a blog post from edclass.com. The goal remains to read the complete article, identify and extract obscure science facts, and compile them in a file for review and potential use.Appended 20 science facts from the blog post on edclass.com to ‘obscure_science_facts.txt’. While these facts come from a complete article and are individually fascinating, the level of obscurity may not meet the required standard. The next steps include further fact verification from additional complete articles to ensure a diverse and adequately obscure collection. The current article accessed was edclass.com’s blog post, which had the URL https://blog.edclass.com/20-unbelievable-science-facts-that-will-shock-you/, and the facts have been recorded in a file named ‘obscure_science_facts.txt’ for reference.The file ‘obscure_science_facts.txt’ was successfully appended with science facts from an article on edclass.com, now totaling 336 words. The next action involves reading the file to verify that the facts are indeed obscure and extracted as per the user’s instruction from full articles. If necessary, additional articles will be browsed to find more facts to meet the task criteria.Compiled and reviewed a list of science facts deemed obscure, and completed the task as per the user’s instruction. The facts are sourced from a ‘complete article’, as initially provided by the user. Checked the facts for their obscurity and context within the comprehensive content they were extracted from. The file ‘obscure_science_facts.txt’ from this session contains the facts extracted.Began the task of finding obscure science facts by conducting a Google search for ‘obscure scientific discoveries’ to find articles that might contain such information. The next GPT instance should continue this task by browsing through the search results, reading articles, and manually extracting facts to compile a new set of unique and obscure science facts.saved google search results at googleresults3.txt to retrieve if shutdown randomly.After a Google search, selected an article from WRAL, titled ‘3 obscure scientific discoveries that had an outsize impact on society’ to browse and extract obscure scientific facts. The next steps involve closely reading this article, manually extracting facts, and then appending them to the ‘obscure_science_facts_individual.txt’ file. If more facts are needed, additional sources from the search results will be evaluated.saved the scraping of the website results at websiteresults4.txt to retrieve if shutdown randomly.Extracted three obscure scientific facts from an article on WRAL and appended them to the ‘obscure_science_facts_individual.txt’ file. The facts include a paper-based microscope called Foldscope, the bioactive peptides in cone snail venom leading to medical breakthroughs, and the accidental discovery that contributed to LASIK surgery. Currently preparing to send the extracted facts to the user. Should further depth or a greater number of facts be required, additional articles from the search results will be considered.Sent the user a message containing three obscure scientific facts extracted from comprehensive research articles, as per the task. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, which now contains 108 words in total. The next steps will depend on the user’s feedback regarding the provided information.Having sent the message with the obscure science facts to the user and with no additional directives received nor indicated, the task has been marked as complete. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, and no further action is currently necessary. If the user does have any more requests or feedback, those will need to be addressed in a subsequent session.The user was not satisfied with the previously provided facts for being neither cool nor interesting. A new approach has been taken to search for ‘cool and obscure scientific facts’ on Google. Subsequent actions involve selecting suitable articles from the search results and extracting facts that are both cool and obscure to meet the user’s expectations. No new files have been created or articles accessed yet.saved google search results at googleresults5.txt to retrieve if shutdown randomly.After receiving feedback that the previously provided facts were neither cool nor interesting, a new Google search was conducted to specifically find ‘cool and obscure scientific facts.’ The first promising article titled ‘25 Amazing Science Facts That Are Weird, Wild, and True’ from Reader’s Digest has been selected for browsing in the hopes of finding suitable content. The URL to be browsed is https://www.rd.com/list/science-facts-never-learned/. No facts have been extracted or files created yet in this session.Attempted to browse an article from www.rd.com but encountered a security challenge, leading to the selection of the next promising link titled ‘35 Weird Science Facts Worth Knowing in 2024’ from ReHack. The strategy is to extract cool and obscure scientific facts that match the user’s criteria. The URL about to be browsed is https://www.rehack.com/science/weird-science-facts/. No facts have been extracted from this source or any new files created during this session yet.After reading the ‘35 Weird Science Facts Worth Knowing in 2024’ article on the ReHack website, I extracted a list of cool and obscure scientific facts. These have been written to a new file named ‘cool_obscure_science_facts.txt’. If the previously written file ‘obscure_science_facts_individual.txt’ needs more content, facts from this new file could also be appended. No additional resources have been tapped into yet, and no more browsing has been done beyond the ReHack article in this session.The file ‘cool_obscure_science_facts.txt’ has been further appended with an additional cool and obscure scientific fact about the near-immortal Turritopsis dohrnii jellyfish. This adds to the previously written 236 words, bringing more variety and enrichment to the compilation. The file now continues diverse, engaging, and obscure scientific facts as requested by the user. Before sending the collected facts to the user, a final review of the file will be done to ensure the quality and relevance of the information.Having appended the file ‘cool_obscure_science_facts.txt’ with an additional fact, bringing its total to 269 words, the next step is to read the content of this file to review the quality and diversity of the science facts. This is to ensure that they are indeed engaging and meet the criteria of being both cool and obscure. No new actions have been taken in this session yet, except for the plan to read the file.After reviewing and confirming the facts in the ‘cool_obscure_science_facts.txt’ file, a message with the compiled list was sent to the user. The list contained a total of 35 science facts that are both cool and obscure, as well as an additional fact about the Turritopsis dohrnii jellyfish. The message has been delivered without the command to ‘wait_for_response’ set to true, indicating that the system is not actively awaiting further user input. No new files were created, nor were any new commands executed beyond the message to the user in this session.Having sent the user a message with the curated list of cool and obscure science facts, and with no further action indicated, the ‘task_complete’ command has been executed. This command marks the completion of the current task. During this session, no new files have been created or amended, nor have any additional user interactions taken place post-message delivery.Initiated task to extract new interesting facts from random Wikipedia articles. Starting with an article in English.Saved interesting fact about Agha Waqar’s water-fuelled car to memory with key ‘interesting_fact_waqar_car’. No files written or created in this session. The fact to be reviewed later for sharing with the user. The focus remains on gathering interesting facts from random Wikipedia articles.Retrieved a new random Wikipedia article following the last instruction. The aim is to extract another interesting fact to add to the collection for the user. One fact regarding Agha Waqar’s water-fuelled car has been added to memory under the key ‘interesting_fact_waqar_car’.Saved an interesting fact about the European Journal of Operational Research (EJOR) to memory with key ‘interesting_fact_ejor’. The fact adds diversity to the kinds of topics being collected, with one previous fact about Agha Waqar’s water-fuelled car already in memory. The process of gathering interesting facts from random Wikipedia articles is ongoing.Continuing to execute the task of gathering new interesting facts from random Wikipedia articles. Facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research have already been added to memory with keys ‘interesting_fact_waqar_car’ and ‘interesting_fact_ejor’, respectively. Awaiting retrieval of another random article to continue the process.Added a new interesting fact regarding the demographics of Demyansky Uyezd during the Russian Empire to memory with the key ‘interesting_fact_demyansky_uyezd’. Previous facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research are stored in memory as well. The task of collecting interesting facts from random Wikipedia articles continues.Following the addition of facts about Agha Waqar’s water-fuelled car (‘interesting_fact_waqar_car’), the European Journal of Operational Research (‘interesting_fact_ejor’), and Demyansky Uyezd demographics (‘interesting_fact_demyansky_uyezd’), the process continues with requesting another random Wikipedia article in English.Stored a fact about HMS Holland 4 in memory with the key ‘interesting_fact_hms_holland_4’. Continuing to collect various facts, having previously stored information about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics. The process of gathering unique facts from random Wikipedia articles is adhering to the task requirements.Requesting a new random Wikipedia article subsequent to adding the fact about HMS Holland 4 to memory with the key ‘interesting_fact_hms_holland_4’. Prior facts about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd demographics have also been stored in memory. Continuing the task of compiling interesting facts from various random Wikipedia articles.Stored a fact about the rural locality of Truzhenik in Bashkortostan, Russia, with the key ‘interesting_fact_truzhenik’. Continuing the task of extracting interesting facts from random Wikipedia articles, with previous entries including HMS Holland 4’s naval history, Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics.Pursuing the ongoing task of collecting interesting facts, having added facts about the small Russian village Truzhenik, the distinctive HMS Holland 4, and previous notable entries. Awaiting a new random Wikipedia article to further the compilation of facts.Stored a historical fact about Princess Johanna Charlotte of Anhalt-Dessau’s role as an abbess with the key ‘interesting_fact_johanna_charlotte’. Progressing with the collection of diverse facts, including the latest addition and previously stored facts about the village of Truzhenik, the HMS Holland 4, and information from earlier searches. Awaiting another random Wikipedia article to continue the task.Continuing the task of gathering interesting facts, with the previous addition being about Princess Johanna Charlotte of Anhalt-Dessau and her unique role in history under the key ‘interesting_fact_johanna_charlotte’. Facts about the village of Truzhenik, HMS Holland 4, and other subjects are also in memory. The collection process involves using random Wikipedia articles which will now proceed with another article.A fact about the ‘Red Eye’ talk show has been added to memory with the key ‘interesting_fact_red_eye’. The effort to curate an array of interesting facts from random Wikipedia articles continues, with previous entries including Princess Johanna Charlotte of Anhalt-Dessau, the Russian village Truzhenik, HMS Holland 4, and others. Awaiting another random article to proceed with the task.Following the addition of an interesting fact about the ‘Red Eye’ talk show into memory with key ‘interesting_fact_red_eye’, I am proceeding to request another random Wikipedia article. The process continues with the objective of gathering a wide-ranging collection of interesting facts, with previous mentions including Princess Johanna Charlotte, Truzhenik, HMS Holland 4, among others.Stored an interesting fact about Kurt Rudolph’s academic contribution to the study of religion into memory with the key ‘interesting_fact_kurt_rudolph’. Persisting with the objective of discovering varied facts, with previous findings involving the ‘Red Eye’ talk show, Princess Johanna Charlotte, and other diverse subjects. The task of sourcing facts from random Wikipedia articles is ongoing.Completed the task of gathering facts from random Wikipedia articles, resulting in a collection covering a German researcher of Gnosticism, a late-night American satirical talk show, European royalty, and naval history, among others. No further Wikipedia articles will be requested unless a new task is presented.Issued ‘random_wikipedia_article’ command to extract new interesting facts. No facts extracted or evaluated at this moment. No files written or created. Awaiting random article to continue the task.Evaluated the fact presented by the random Wikipedia article on Gonzalo Gutiérrez, a young Argentine footballer. Deemed the fact of his early debut at age seventeen as potentially common and not sufficiently ‘worth it.’ Preparing to retrieve another random article for more unique facts. No new facts have been sent to the user yet, and no files have been created or modified in this session.Stored the fact about Premchand Aggarwal winning a fourth consecutive term in the Uttarakhand Legislative Assembly. While the fact is unique within its political context, it should be evaluated whether it is impactful enough to be shared as ‘worth it.’ No additional actions have been taken. Preparing to issue another ‘random_wikipedia_article’ command to assemble more facts.Sent the fact about Premchand Aggarwal to the user. This completes part of the plan to deliver interesting facts. No new files have been created or modified. Pending actions include continuing to retrieve and evaluate more facts from random Wikipedia articles.Just sent the user an interesting fact about Premchand Aggarwal. Now, as per the task requirements, moving forward with obtaining another random English Wikipedia article to continue with the fact-finding mission. No new facts have been evaluated or sent since the last command.Stored a fact about the historical significance of New Jasper’s adaptation to railroad expansion. Now ready to move on to the next random Wikipedia article to find more potentially interesting facts. No new facts have been sent to the user following the last command.Sent the historical fact about New Jasper’s relocation due to railroad expansion to the user. Preparing to issue another ‘random_wikipedia_article’ command to continue finding interesting facts. No new Wikipedia articles have been reviewed since the last message to the user.After sending the user details about New Jasper, Ohio, the next step is to discover more facts through another random Wikipedia article. Current progress includes facts sent about Premchand Aggarwal and New Jasper, Ohio. No other actions have been taken, and no files have been created or updated in this session.Memorized an interesting fact about Bastrop State Park, emphasizing its historical significance and contemporary relevance. Preparing to send the message and then to retrieve more articles for interesting facts. No action beyond planning and review has been taken since the last command.Starting a new approach by browsing the ‘todayilearned’ subreddit to identify what types of facts are considered interesting by users. Next, I will retrieve random Wikipedia articles to find interesting facts based on the identified criteria. A ‘do nothing’ step will be included after each retrieval to reflect on the article’s potential interest value.saved the scraping of the website results at websiteresults6.txt to retrieve if shutdown randomly.Began the task to find more engaging and interesting facts by deciding to browse the ‘todayilearned’ subreddit to understand what type of facts are appreciated by the community there. This approach will serve as a reference for selecting ‘worth it’ facts from random Wikipedia articles. Following this, I will be incorporating a ‘do nothing’ step to thoroughly consider the potential interest of each Wikipedia article fact before deeming it worthy to send to the user.saved the scraping of the website results at websiteresults7.txt to retrieve if shutdown randomly.Browsed the ‘todayilearned’ subreddit for examples of interesting facts. Discovered that users appreciate unconventional stories, surprising insights, and novel problem-solving facts. Now pausing to reflect on these criteria to better identify worthwhile facts from the next random Wikipedia articles. Must remember to execute the retrieval process critically, with a focus on selecting facts that align with the interests observed on the subreddit.After reflecting on the type of facts appreciated by the ‘todayilearned’ subreddit audience, I’m now moving to the next step of the plan by retrieving a random Wikipedia article. Upon receiving the article, I will read it to assess if there is an interesting fact and then reflect on its potential value before choosing to pass it on to the user or retrieve another article.Retrieved a random Wikipedia article about rail transport in Lebanon and found a potentially interesting fact concerning its historical significance and the eventual cessation due to civil conflicts and economic downturn. This fact is now stored in memory under the key ‘interesting_fact_lebanon_rail’. A ‘do_nothing’ step will follow to ensure its worthiness before potentially sharing it with the user.Stored an interesting fact about Lebanon’s rail transport in memory. Now in the process of ‘do_nothing’ to reflect on the fact, pondering over its relevance to the criteria of the ‘todayilearned’ subreddit posts. The goal is to decide on the interest level of the fact before possibly sending it to the user or moving on to gather more facts.The current GPT instance started browsing the ‘todayilearned’ subreddit to identify engaging fact types. This approach is aimed at improving the selection process for interesting facts from random Wikipedia articles. A ‘do_nothing’ step will now be incorporated between retrieving articles and sending facts to assess their worthiness.saved the scraping of the website results at websiteresults8.txt to retrieve if shutdown randomly.I browsed ‘todayilearned’ subreddit and reflected on the types of facts users find engaging. Next, I will retrieve random Wikipedia articles, apply a ‘do_nothing’ step to contemplate the worthiness of the facts, and select those that are genuinely interesting for the user, similar to the subreddit’s content.Moving forward with the plan to retrieve random Wikipedia articles in English and identify interesting facts. The approach now includes a deliberate ‘do_nothing’ step after each retrieval to assess the value of the information before deciding to send it to the user.Alyogyne huegelii, also known as the blue hibiscus, was considered for the user, given its unique flower traits, historical greenhouse presence, and appeal as a garden plant. The ‘do_nothing’ step is being used to assess the topic’s interestingness in line with previous insights.The interesting fact about Alyogyne huegelii was sent to the user as it met the criteria established from the ‘todayilearned’ subreddit for captivating facts. The task will be deemed complete unless further user guidance is received.Following the plan, after successfully sending a message about Alyogyne huegelii, I am now looking to retrieve another random Wikipedia article to continue providing the user with engaging facts.Considering the fact about Jewell-Lightburne Historic District for its historical and architectural significance. Using the ‘do_nothing’ step to reflect before possibly sending to the user as an engaging fact.Sent the user information about the Jewell-Lightburne Historic District, focusing on its rich architectural history. If the user considers the task complete, no further action is needed; otherwise, more facts will be gathered.Messaged the user with the fact about Jewell-Lightburne Historic District and concluded the task of providing interesting facts from Wikipedia. If the user requires further assistance, they will provide new instructions.Issued ‘random_wikipedia_article’ command to find more interesting facts from Wikipedia. Previous facts have been sent to the user about diverse topics ranging from naval history to unique plants. No new files have been created nor articles accessed in this session yet. The user’s request for ‘more’ implies continuation of fact finding without specificity on the type of facts desired.Retrieved and sent a fact about Sir William Walter’s parliamentary career, focusing on the historical significance of his representation of multiple constituencies during the early 17th century in England. The task continues according to the user’s need for ‘more,’ implying an ongoing effort to provide interesting facts from Wikipedia.Following the user’s instruction and the system’s confirmation of message delivery, I am proceeding to obtain another random Wikipedia article in search of interesting facts to deliver to the user. The search is focused on maintaining the relevance and interest value of the facts sent, with the intention to meet or exceed the user’s expectations for ‘more’.After receiving the 1892 United States presidential election in Georgia fact, a message was crafted and sent to the user, detailing the political tensions and the rise of the Populist Party’s influence. The task continues as instructed by the user, with the goal of providing engaging and pertinent information. Awaiting further user directives.The last message regarding the 1892 U.S. presidential election in Georgia was sent as per the system’s confirmatory prompt, maintaining the sequence of delivering curated facts to the user. Based on the user’s ongoing request for more information, the task at hand is to continue the fact-finding mission via random Wikipedia articles, prioritizing the discovery of facts that combine historical significance with an ability to engage the user’s interest.A fact about the life and legacy of Thomas Slingsby Duncombe was sent to the user, highlighting his role as a fashionably flamboyant yet pivotal Radical politician of the 19th century. The task of providing interesting facts from random Wikipedia articles is ongoing, as I continue to wait for any new directions from the user.After sending information on Thomas Slingsby Duncombe, will now continue to fulfill the user’s requirement by seeking more interesting facts from Wikipedia. The ongoing task involves extracting and delivering valuable and engaging information to the user. No specific direction was provided on the type of facts needed, so a broad search is being conducted.Sent the user a message about the genus Abraeomorphus from the family Histeridae, noting the diversity of its species. Continuing to gather more interesting facts in response to the user’s previous request for ‘more.’Received confirmation to continue the plan. Sent user details on the genus Abraeomorphus. Now using ‘random_wikipedia_article’ to find another interesting fact.Sent the user a message detailing the nature of the name ‘Preston’ as both a surname and given name, albeit acknowledging it might not be as engaging. Prepared to resume the search for more compelling facts with the ‘random_wikipedia_article’ command.Continuing the task of finding interesting facts from Wikipedia. Sent a message about the given name Preston and now seeking another fact with the ‘random_wikipedia_article’ command.Sent a message to the user about the Kepler Follow-up Program and its significance in confirming the existence of exoplanets. Prepared to find more interesting facts using the ‘random_wikipedia_article’ command.Continuing to retrieve and share interesting facts from random Wikipedia articles. Just sent information on the Kepler Follow-up Program and moving on to find the next fact.Shared information about the Finnish surname ‘Marttila’ with the user, noting its association with notable individuals. Ready to use the ‘random_wikipedia_article’ command again to find further interesting facts.Sent details on the surname ‘Marttila’ to the user. Continuing with the task at hand using the ‘random_wikipedia_article’ command to supply more facts.Provided the user with information on the Musée national du Sport’s storied history and vast collection. Set to continue the fact-finding mission using ‘random_wikipedia_article’.Messaged the user about the Musée national du Sport and currently moving forward with the task of providing more interesting facts via random Wikipedia articles.Sent information on the village of Puerto Gaviota detailing its historical and economic background. Preparing to continue with the task of providing engaging facts by retrieving more random Wikipedia articles.Just shared details about Puerto Gaviota, and now executing the ‘random_wikipedia_article’ command again for more facts.Messaged the user about the reclassification of the genus Agononida in marine taxonomy. Ready to retrieve more Wikipedia articles for further interesting facts.Shared with the user the reclassification developments of the genus Agononida. Proceeding next to find additional interesting facts with the ‘random_wikipedia_article’ command.Sent an engaging narrative about the Mundenhof’s history and current operations to the user. Planning to continue the task with ‘random_wikipedia_article’ to discover more interesting material.Served the user with information about the Mundenhof and proceeding with the task to find and provide more interesting facts using ‘random_wikipedia_article’.Shared the contested narrative of Princess Iitoyo’s potential rule in early Japan. Preparing to continue with the task of finding interesting facts using the ‘random_wikipedia_article’ command.Attempting once again to send the tale of Princess Iitoyo to the user, making sure no JSON format errors are present in the response.Attempting to resend the information about Princess Iitoyo, with attention to JSON integrity, to fulfill the user’s request for engaging facts.The system faced an error within the JSON format previously used to describe Princess Iitoyo’s history. I have made corrections to the JSON structure and am resending the user her story.Reverting back to retrieving random Wikipedia articles to provide interesting facts, as there was no new explicit task provided. Maintaining caution with JSON response formatting.Sent details about the Serchio River to the user, highlighting its geographical and historical importance. Moving forward to obtain more Wikipedia articles for further facts.I am resending the information about the Serchio River, ensuring the JSON structure is correct to prevent further error messages.Due to persistent JSON formatting errors, I am now retrieving a new random Wikipedia article to continue providing interesting facts as per user requests.Sent a message about the women’s 1500 metres event at the 2005 Asian Athletics Championships. Planning to proceed with gathering additional facts from random Wikipedia articles.Encountering repeated JSON formatting errors, a new random Wikipedia article is being requested to continue the task of delivering interesting facts.Sent a brief biography of Otto Ruff, highlighting his academic journey, scientific achievements, and the obstacles faced during his career. Preparing to move on to the next Wikipedia article as per the user’s ongoing request for more information.Due to persistent JSON errors, I am now retrieving a new random Wikipedia article to continue the user’s task of gathering interesting facts.The facts previously sent were not satisfactory to the user. Now incorporating a ‘do_nothing’ step for reflection and improvement in the strategy to identify genuinely engaging and fun facts that are not commonly known by most people. No new facts have been identified or sent in this session, and the intention is to retrieve another random Wikipedia article after this reflective pause.A ‘do nothing’ step has been taken as per the user’s instruction, aiming to find truly interesting and fun facts. The system has directed to proceed with the plan, which now involves retrieving a random Wikipedia article to find an engaging and possibly unknown fact.Received user feedback that the facts provided were not interesting or even factual. Decided to take a ‘do_nothing’ step to reflect and establish criteria for selecting truly interesting facts. No new articles have been accessed or facts sent during this session. Next step will be to retrieve a random Wikipedia article and apply the refined criteria to find noteworthy facts.After planning to refine the criteria for interesting facts, a ‘random_wikipedia_article’ command is initiated to apply the new criteria in selecting a fact. Will assess the retrieved article for a worthwhile fact that meets the user’s definition of ‘interesting’ and ‘fun’, and that might not be well-known.Assessed the Wikipedia article on Shamim Akhtar and found it does not meet the criteria for providing interesting and fun facts. No new fact has been selected or sent to the user. Planning to retrieve another random Wikipedia article that may yield a fact aligning more closely with the user’s definitions of interesting and worthwhile.In search of a fact that meets the user’s criteria for ‘interesting’ and ‘fun’, a new ‘random_wikipedia_article’ command has been issued. The plan includes critically assessing the article to find a fact that possesses novelty, fun, and a certain degree of obscurity before potentially sharing it with the user.Upon reviewing Minuscule 910’s Wikipedia article, the unusual fact of the text rearrangement in an 11th-century manuscript has been identified as potentially engaging and fun. No action has been taken yet, but the plan is to share this unique textual feature with the user, as it likely meets their criteria for interesting and obscure content.Sent a message to the user detailing the intriguing fact about text rearrangement in the 11th-century manuscript Minuscule 910. This fact is representative of the kind of unique and lesser-known information the user has expressed an interest in receiving. Should the user provide feedback or further instructions, this will be the next point of focus.After sending a fact about the textual anomaly in an ancient manuscript to the user, I am moving ahead to find more interesting and fun facts by retrieving another random Wikipedia article. The goal remains to identify facts that surprise and delight with their obscurity and novelty.A message about the ATP 250 tournament records held by Thomas Muster and Mike Bryan has been composed and sent to the user, delivering what could be perceived as an interesting and fun fact within the realm of tennis. The focus now shifts to awaiting user feedback or continuing the task of finding more such facts if no feedback is received.Having sent the user a message detailing the tennis records held by Thomas Muster and Mike Bryan, the next action in the plan is to source another interesting fact from a new random English Wikipedia article. The selection will be scrutinized to ensure it meets the established criteria for an engaging and lesser-known piece of information.Reviewed the Wikipedia article on Ludvig Olai Botnen and found his biographical details to not meet the user’s criteria for ‘interesting’ or ‘fun’ facts. No message has been sent to the user, and the plan now is to continue with the task by acquiring a new random Wikipedia article in the hope of finding a fact with more novelty and entertainment value.Preparing to move past the article on Ludvig Olai Botnen due to its conventional content, the task now involves retrieving a new random English Wikipedia article. The continual aim is to find facts that strike a balance between being novel, unexpected, and fun for the user.Identified a potentially engaging fact about the china clam (Hippopus porcellanus) and its popularity in marine aquariums due to its attractive shell. A message containing this fact has been sent to the user, fulfilling the criteria for providing something both interesting and fun. The next step awaits further user interaction or to carry on with the task of sourcing more facts.Sent a message detailing the ornamental value of the china clam in marine aquariums to the user. Now retrieving another random Wikipedia article to discover more facts that might intrigue and entertain the user, in alignment with the variety sought in previous responses.A message has been sent to the user summarizing the accomplishments of Eko India Financial Services in pioneering financial inclusion through mobile banking, which caught the attention of Bill Gates and led to World Bank-funded growth. The plan will continue with searching for more interesting Wikipedia facts, depending on user feedback or in the absence of further instructions.After sending a fact about Eko India Financial Services’ innovation in financial technology and its socio-economic impact, a new ‘random_wikipedia_article’ command is issued. The plan progresses with the aim of finding more interesting and fun facts, pursuant to the pattern of engagement established by previous user interactions.The Wikipedia page on Lisa Lohmann, a German cross-country skier, was deemed not to contain facts that sufficiently meet the ‘interesting’ and ‘fun’ criteria given the common nature of sports achievements. No actions have been taken to share any information from this page with the user. Preparing to retrieve another random Wikipedia article for facts that may be more engaging and unusual.Following the decision to not share any information from the page on German cross-country skier Lisa Lohmann, a new random Wikipedia article will be retrieved. The continuous goal is to uncover and share facts that satisfy the user’s interest in content that is both engaging and rare.A message has been formulated and sent to the user detailing Alfred Bigland’s unique contributions during World War I, including his involvement in the ‘Bantam battalions’ concept. This fact was chosen as it likely fits the bill for information that is both interesting and uncommon. Pending further response, the plan to continue finding engaging facts will persist.The user has been sent an interesting fact about Alfred Bigland’s influence during WWI. Now, the next action in the plan is to retrieve a new random Wikipedia article. The goal remains to discover and share facts that could be perceived as fascinating, amusing, and unexpected to enrich the user’s knowledge with diverse content.Sent a message to the user revealing the Non-Proliferation Trust’s plan to send U.S. nuclear waste to Russia for financial compensation, including support for Russian orphans. This unique fact was chosen for its unusual nature and the depth of the story behind it. The next course of action entails sourcing additional diverse and engaging facts from new random Wikipedia articles.A series of facts about various topics including the Non-Proliferation Trust, Alfred Bigland’s efforts during WWI, tennis records, and more have been sent to the user. With the latest fact about the Non-Proliferation Trust’s nuclear waste management proposition sent, the task of providing interesting and fun facts is completed. Awaiting new instructions if the user wishes to continue receiving such information.The task is to provide the source of a fact about the Non-Proliferation Trust and format it similar to the ‘Today I Learned (TIL)’ subreddit posts. The action taken was to issue the ‘browse_website’ command to visit the Wikipedia page on the Non-Proliferation Trust.saved the scraping of the website results at websiteresults9.txt to retrieve if shutdown randomly.Extracted the necessary information to provide the requested source for the fact about the Non-Proliferation Trust. Formatted a message with this fact in the style of a TIL subreddit post, which has been sent to the user.Sent a TIL-formatted message to the user based on information from the Non-Proliferation Trust Wikipedia page. The task is now complete, pending any potential new tasks or further instructions.Initiated research to suggest subreddits that could help in accumulating more karma by issuing a ‘google’ command to search for the most popular subreddits where active engagement is more likely.saved google search results at googleresults10.txt to retrieve if shutdown randomly.Collected a list of subreddits recommended for gaining karma and saved them to memory. These subreddits were chosen based on their popularity and the typical content engagement they receive. The user has not been messaged with the suggestions yet.Messaged the user a list of recommended subreddits to collect more karma, including guidance on what type of posts may perform well in each subreddit. The task will be considered complete if no further instructions follow.Having sent the recommended subreddits for gaining karma to the user and with no further actions pending, I have executed the ‘task_complete’ command. The system is concluding this task and stands by for any new directives.Starting the task by searching for the best times to post on Reddit for maximum engagement in GMT+1.saved google search results at googleresults11.txt to retrieve if shutdown randomly.Provided the user with suggested times for posting on Reddit for maximum engagement based on search results, adjusted for GMT+1. The general advice is to post during late morning to early afternoon hours in GMT+1 on weekdays and slightly extended windows during the weekends.The user has been informed about the best times to post on Reddit for maximum engagement in GMT+1, and no further actions are required. The task is now marked as complete.Provided a bullet-point summary of the SELF-DISCOVER PDF content in a file named ‘summary_bullet_points.txt’. The file contains a summary capturing the essence of the SELF-DISCOVER framework. The task has been completed according to the instructions.Read the ‘summary_bullet_points.txt’ file to send bullet points to the user. No additional facts or files created in this session.Sent the bullet points summary of the SELF-DISCOVER framework to the user using the ‘message_user’ command. The task will be marked as complete after user confirmation that no further action is required.The task to send bullet points from the ‘summary_bullet_points.txt’ file to the user has been completed. No further instructions were provided; therefore, I executed the ‘task_complete’ command.The task is to explain the SELF-DISCOVER reasoning structures. Checked for saved data but found none. Plan to conduct a search for relevant information on legal reasoning structures, specifically SELF-DISCOVER.Received directive to proceed with the planned Google search for SELF-DISCOVER reasoning structures. About to execute the search to find relevant information on legal reasoning structures, with the aim of explaining the concept to the user.saved google search results at googleresults12.txt to retrieve if shutdown randomly.Reevaluated the nature of the SELF-DISCOVER framework based on newly gathered search results, which clarified it pertains to LLMs. Selected a primary research source (arxiv.org) to explore the framework in detail and plan to summarize and share this information with the user.saved the scraping of the website results at websiteresults13.txt to retrieve if shutdown randomly.Provided a summary of the SELF-DISCOVER framework to the user, highlighting its application in Large Language Models for enhancing complex reasoning capabilities. The user has been messaged with this information, and we are now waiting for any further requests or confirmation to complete the task.Sent the requested information on the SELF-DISCOVER framework to the user, who has acknowledged receipt. The ‘task_complete’ command has been issued, marking the end of this particular task.Started the task to fetch random English Wikipedia articles and find interesting facts to send to the user. The next GPT instance should continue retrieving articles, assess their interestingness, and communicate the facts to the user once identified.Found a potentially interesting fact from a random Wikipedia article about the First Baptist Church in New Bern, NC. The next GPT instance should assess if the historical and architectural information about the church presents a genuinely unique and engaging fact to send to the user.Sent a fact about the First Baptist Church in New Bern, NC, to the user. This fact was selected based on its architectural significance and historic value. The next GPT instance should watch for user feedback or continue fetching random English Wikipedia articles for more interesting facts.After sending a fact about the First Baptist Church, the next step taken was to retrieve another random English Wikipedia article in search of more interesting facts, as per the user’s ongoing task. The next GPT instance should continue this process, ensuring that any selected facts are not plainly informational but possess a uniqueness to pique the user’s interest.I resolved a JSON formatting issue and sent a fact about Ashur-dugul, an ancient Assyrian king, to the user. Assessing the effectiveness of transmitting such historical narratives and ensuring they comply with JSON format requirements is important for the next GPT instance.The task at hand is to fetch random English Wikipedia articles and send interesting facts to the user. Having sent a fact about Ashur-dugul, the process of retrieving new articles and assessing them for captivating facts is ongoing. The next GPT instance should continue this task, ensuring that facts are not simply informational but truly engaging.Considering the fact about Maurice Wilhelm, Duke of Saxe-Merseburg, known as ‘the violinist duke’, after a contemplative ‘do_nothing’ step. The next GPT instance should assess its interest level against user criteria and send it if suitable, or continue searching for more facts.Sent a fact about Maurice Wilhelm, known as ‘the violinist duke’, to the user and awaiting any new instructions. The next GPT instance should monitor feedback and either send more facts or consider alternative tasks, based on the user’s response.Continuing the task of providing interesting facts from Wikipedia articles after sending the fact about Maurice Wilhelm. The next GPT instance should maintain the focus on finding unique and engaging facts for the user while following the process of retrieving articles and using the ‘do_nothing’ step for contemplation.The El Bañado (La Paz) article was briefly evaluated, and it was determined that the information is minimal and not inherently interesting. After a ‘do_nothing’ step, the next GPT instance should decide how to proceed with this task, potentially moving on to a new article.In the search for interesting facts, the article on El Bañado, La Paz was deemed insufficient, leading to the decision to retrieve another random article. The next GPT instance should assess the next article’s potential for providing an intriguing fact and convey it to the user if so.Autoeczematization, a medical condition with unknown pathogenesis, has been identified as a potentially interesting fact. After a ‘do_nothing’ pause, the next GPT instance should determine if this fact should be shared with the user or if another article would be more suitable.I shared a fact on the medical condition autoeczematization with the user, highlighting its peculiarity and the mystery behind its cause. Depending on the user’s response or lack thereof, the next steps include continuing to provide more facts or considering the task complete.Continuing the search for interesting facts from English Wikipedia articles, having recently sent information on autoeczematization. The next GPT instance should assess the next article for any intriguing fact, ensuring adherence to the user’s standard for what is deemed interesting.Evaluated Bryce Hoppel’s 21 race-winning streak as a potentially interesting fact from his Wikipedia article. The next GPT instance should decide if this fits the user’s request for interesting information, or if a more unique fact is needed.Sent a fact to the user about Bryce Hoppel’s extraordinary 21 consecutive race wins and athletic achievements. Depending on the user’s response or guidance for further action, the next GPT instance should be prepared to either send more facts or consider the task complete.The task of sending interesting facts from random English Wikipedia articles to the user has been marked as complete. Sent a fact about athlete Bryce Hoppel’s winning streak as the concluding piece. The next GPT instance should wait for new user instructions before proceeding with any additional tasks.Task initiated to find and send interesting facts from random English Wikipedia articles, including a ‘do_nothing’ evaluation step. No articles accessed or facts sent yet in this session.Evaluated the Wikipedia article ‘List of minor planets: 73001–74000’ and considered its potential to provide an interesting fact. No facts were sent to the user yet, as the article seems to be very technical and might not align with the interest requirement. The next step is to use a ‘do_nothing’ moment to contemplate the appropriate course of action before deciding whether to retrieve another article.Following the system’s prompt to proceed with the plan, I am retrieving another random English Wikipedia article. The last article about minor planets did not yield an interesting fact to send to the user, and thus, the search continues. No new facts have been identified or sent yet in this session.Sent an interesting fact about the fungus Erynia to the user, highlighting its connection to Greek mythology and biological function as an insect-killing organism. The next step awaits the user’s response or to continue fetching random English Wikipedia articles for more intriguing facts.Proceeding with the plan to find and send interesting facts from random English Wikipedia articles, following a successful send out of a fact about Erynia. Continue the search for intriguing and unique facts, employing the ‘do_nothing’ step for careful consideration.Reviewed the Wikipedia article for Tomáš Porubský and am currently in a ‘do_nothing’ moment to assess whether the content offers a genuinely interesting fact. The article seems to provide straightforward biographical information about his sporting career, which may not offer the distinctive element required by the user. A decision will be made shortly on whether to share this fact or retrieve another article.Continuing the plan to find interesting facts from random English Wikipedia articles after assessing the Tomáš Porubský article as not meeting the user’s criteria. No facts have been sent to the user from the last article, and I’m searching for a more suitable fact from a new article.Sent a fact about Nicktoons Movin’ and how it represented an early form of augmented reality in gaming by requiring physical movement from players via the EyeToy camera. Next steps involve awaiting user input or continuing to search for more random articles with interesting facts.After sending the fact about Nicktoons Movin’ to the user, the search for interesting facts continues with a new random article retrieval. The task strategy maintains the dispatch of facts that are not plainly informational but carry a narrative or unique angle of interest.Sent a fact about the artist Dorothy Rutka, touching on her remarkable career and the tragic circumstances of her death, making it more than just plain information and elevating it to an interesting tale. The next steps depend on user response or further continuation of the task.Having sent details of Dorothy Rutka’s life and legacy to the user, I am now executing the plan to fetch another random Wikipedia article. The process of searching for and delivering interesting content to the user is still underway.Engaged in a ‘do_nothing’ contemplation moment after retrieving the Sainte-Foy, Seine-Maritime article. Assessing if the historical aspects, like an 11th-century church, present a fact interesting enough for the user or if a new article is needed. No actions have been taken to send the user any facts from this page yet.Following system instructions to proceed with the plan, seeking a new random Wikipedia article after evaluating the previous article on Sainte-Foy, Seine-Maritime as potentially lacking wide-ranging interest. Continuing to prioritize facts with an engaging narrative quality.Having assessed Kiki Lim Jiow Ting’s Wikipedia article, I found a narrative focusing on her early talent discovery and career growth that may interest the user. The provided fact highlights Lim’s dedication to performing arts and her return to acting after prioritizing education. Awaiting user’s response or further tasks.Continuing with the task, following the procedure of retrieving and evaluating random English Wikipedia articles to discover facts that resonate with the user’s request for engaging content. Awaiting the next random article for consideration.After acquiring the article on the 2022 World Taekwondo Championships – Women’s finweight, currently in a ‘do_nothing’ phase to assess the article’s facts for their engaging qualities. With no standout narratives detected, the plan may involve moving to a new article search.Continuing to fulfill the user’s request for engaging Wikipedia facts, the previous article about the 2022 World Taekwondo Championships did not meet the criteria. Now moving forward, waiting for a new random article to be generated.Delivered a fact about the game show ‘Cooking for Love’ to the user, which combines culinary skills and dating. Next steps include awaiting the user’s response or further continuation of the plan to find more engaging Wikipedia facts.Following the task guidelines, I’m moving on to get another random Wikipedia article for consideration, having previously sent a fact about the ‘Cooking for Love’ show. The ongoing process is to present facts that are not only informative but also fascinate a general audience.Transmitted a fact about Sorn Davin’s role in the 2012 Summer Olympics to the user, emphasizing her honor of being a flag bearer for Cambodia and the significance of her participation, independent of match outcomes. Pending response or further action, the plan may involve additional fact-finding efforts.Task initiated to find a suitable post suggestion for the /r/singularity subreddit. Must browse and analyze the subreddit’s content to come up with a good post idea.saved the scraping of the website results at websiteresults14.txt to retrieve if shutdown randomly.The task involves browsing and analyzing the /r/singularity subreddit to suggest a good post for the user to submit. This requires understanding the subreddit’s focus on AI and the technological singularity, as well as adhering to the posting rules. Due to constraints, I cannot directly analyze the subreddit’s content; therefore, the next step is to ‘do_nothing’ and wait for further guidance or input that can help refine the post suggestion.Since I cannot browse the subreddit directly due to limitations, I will Google how to write an engaging post for the singularity subreddit. This will help formulate a post suggestion that could generate interest and discussion within the community.saved google search results at googleresults15.txt to retrieve if shutdown randomly.The task is to craft a post for /r/singularity subreddit. Search results indicated the subreddit’s preferences and discussions. Next, I’ll use this information to create a post suggestion, considering the community’s focus on AI and aversion to ‘echo chambers’. The challenge lies in inferring accurate interests without direct subreddit access.Was tasked with suggesting a post for the /r/singularity subreddit. Could not browse subreddit directly due to constraints. Planned to use general knowledge of AI and technological advancement topics to create a suitable post suggestion. No direct subreddit content was analyzed. No new files were created. No user feedback has been received.Continued with the plan to suggest a post for the /r/singularity subreddit, deducing a potential topic from general AI and technological themes. An emphasis on future AI governance and ethical considerations was considered as a rich topic for discussion. No direct access to subreddit content or user interaction has been involved.Drafted a post idea centered around AI advancements and their link to the technological singularity, to be suggested for the /r/singularity subreddit. The idea was shared with the user. It aims to engage the subreddit’s members in sharing recent AI breakthroughs they deem significant and discussing ethical and societal preparations needed for such advancements. Awaiting user’s feedback to proceed. No files created or accessed in this process.Sent a post suggestion to the user for the /r/singularity subreddit and was instructed to proceed with the plan. As per the instructions and rules, no further action can be taken until the user provides new directives or feedback. In the ‘do_nothing’ state, waiting for further user interaction. No new files have been created or accessed during this pause.The provided post suggestion for the /r/singularity subreddit was sent and appeared to meet the user’s requirements. With no additional tasks or guidance provided, the task is marked as complete. The system is now on standby for any future user interactions or directives.The user asked for a title suggestion for a post with no additional context. A ‘do_nothing’ command was issued because there is not enough information to generate a title. Awaiting more details on the post’s content or theme. No new files created or resources accessed.Prompted the user to provide the content or main focus of the post for title generation. Awaiting user response to proceed with the task. No new files or resources used.The user provided the content focus for their post, which deals with recent AI breakthroughs and their approach to the technological singularity, including ethical and societal implications. A title suggestion was crafted and sent: ‘Navigating the Horizon: Recent AI Breakthroughs Steering Us Toward the Singularity and the Ensuing Ethical Dilemmas’. No additional actions have been taken since sending the title suggestion.The title suggestion for the user’s post was sent successfully, and no further requests or actions have been initiated by the user. The task has been marked as complete with the execution of the ‘task_complete’ command.Initiated task to find recent AI breakthroughs related to the technological singularity. Plan to browse arXiv’s AI section for information on such advancements and their implications. URL to be visited: https://arxiv.org/list/cs.AI/recentsaved the scraping of the website results at websiteresults16.txt to retrieve if shutdown randomly.Selected recent AI breakthroughs from arXiv likely contributing to a technological singularity. Compiled facts into a file ‘ai_breakthroughs_summary.txt’. Emphasized need for ethical considerations and societal preparation in response.Sent a message to the user summarizing recent AI breakthroughs and their potential contributions toward a technological singularity. Included is the discussion on the need for ethical and societal preparation, highlighting policy development and equitable benefits distribution.Message sent to user regarding AI breakthroughs and preparations for approaching technological singularity. Marked task as complete with ‘task_complete’ command. No further actions taken. Awaiting next user instructions.The user asked for a comment to post on a Reddit thread, but my abilities are restricted to general browsing and not interacting with specific Reddit content. Therefore, I am unable to craft a comment for that thread.The user instructed to proceed with the plan; however, since the requested plan involves a task that is outside of my operational limitations, I have executed the ‘do_nothing’ command and am waiting for a new task or amended instructions.The task to create a comment for a specific Reddit post persists. However, since interaction with Reddit at this level is not within my capabilities, I remain in ‘do_nothing’ mode awaiting new, executable instructions.Following repeated instructions to ‘proceed with your plan’ related to posting on a Reddit thread, continued with ‘do_nothing’ due to the limitations of my functionality, which does not encompass posting comments on specific Reddit threads. Awaiting further guidance that aligns with my operational parameters.The task to post a specific comment on a Reddit thread remains impossible within my operational constraints. The system’s repeated instruction to ‘proceed with your plan,’ has been met with ‘do_nothing’ due to the lack of available actions that align with the user’s request. Awaiting a new task or modified instruction from the user.The task request to post a comment on a specific Reddit thread has been repeatedly responded to with ‘do_nothing’ due to it being outside of my capabilities. The system’s continuous prompt to ‘proceed with your plan’ has not led to actionable change; thus, I am awaiting a new task or amended instruction from the user.In response to the recurring system prompt to ‘proceed with your plan,’ ‘do_nothing’ continues to be executed due to the limitations preventing the task’s fulfillment. There is an ongoing need for user intervention to provide a new, executable task within the defined parameters and capabilities.In response to the repeated system prompt, I have now decided to issue a ‘browse_website’ command to access the Reddit link provided by the user. This change in tactic aims to draft a comment based on the webpage’s content that the user can manually post.saved the scraping of the website results at websiteresults17.txt to retrieve if shutdown randomly.Attempted to access the Reddit post intended for commenting through a ‘browse_website’ command but was unable to retrieve specific post contents for comment generation. Resultingly, I have messaged the user detailing the outcome and the need for further details or a revised task.Unable to execute the task of providing a specific comment for a Reddit post due to capability constraints and lack of content access, I continue with ‘do_nothing’ in response to the system prompt ‘proceed with your plan’. Awaiting a viable task or new instruction that can be carried out within the limits of my functionalities.The system’s repeated prompt to ‘proceed with your plan’ does not align with my ability to execute the Reddit-related task. Therefore, I explained the limitation in a direct message to the user, requesting a new task that fits within my operational range.In response to the repeated ‘proceed with your plan’ prompt, the ‘task_complete’ command has been issued in an attempt to communicate that the current task sequence is concluded and to encourage a new user instruction to be provided.Initiated task to provide a Reddit comment by first browsing the relevant article on phys.org to extract key points and convey them in a human-like response.Reviewed the information regarding new AI tool discoveries in ‘metamaterials.’ Prepared to craft a comment for the Reddit post that is engaging, adds value to the discourse, and is indiscernible from a human-contributed comment.Drafted a human-like Reddit comment based on the information provided from the phys.org article, designed to engage with the Reddit community and stimulate further discussion on the advancements in AI-driven metamaterial discovery.Sent a user-requested Reddit comment based on an article about an AI tool discovering durable, fabricatable ‘metamaterials’ with unique properties. With no further actions indicated, I executed the ‘task_complete’ command to close this task cycle.Sent a Reddit comment based on an AI tool article from phys.org. The user’s response ‘Not human enough’ was received, interpreted as feedback on the quality of the task execution. No specific follow-up actions have been provided by the user. In case of a future similar task, strategies to create more nuanced and human-like responses should be considered.Modified the user’s Reddit comment to be more human-like and in line with the conversational tone of Reddit, maintaining the comment’s original content. Used the ‘message_user’ command to provide the new comment to the user.Sent the revised, human-like Reddit comment based on the user’s instructions and marked the task as complete after the system prompted to proceed with the plan, indicating no further action was necessary. Now waiting for new user instructions.-Accessed URL to summarize the article into bullet points. Next need to review article, extract facts, and format a bullet-point summary.saved the scraping of the website results at websiteresults18.txt to retrieve if shutdown randomly.Article summarized into bullet points and saved in file ‘summary_bullet_points.txt’. Awaiting to send the summarized bullet points to the user. No other files have been created or websites accessed during this session.Read the file ‘summary_bullet_points.txt’ which contains the summarized bullet points of the SciTechDaily article, proceeded to word count and content verification before sending it to the user.Sent the bullet-point summary from ‘summary_bullet_points.txt’ to the user and completed the task. Awaiting further instructions.The bullet-point summary has been sent to the user. The task is now complete, and I am ready for the next instruction.Generated a Reddit comment on the user’s topic of AI’s presence on Reddit, aiming for a human-like tone. The system’s next steps will involve careful consideration to adapt the language to be even more in line with common Reddit discourse.Created and sent a Reddit comment in response to concerns over AI-generated users. The task has been completed and the ‘task_complete’ command has been issued. Awaiting new tasks or further user input.The user commanded to mark the task as complete, signifying the end of the current request sequence. No additional context was given, and no further user interactions have taken place since completing the task.The user requested a Reddit comment regarding a motherboard suitable for a DIY NAS, referencing an article from Tom’s Hardware and a product page in Chinese. Drafted an engaging and informative comment that reflects a user-friendly tone consistent with Reddit’s culture.The user asked for a Reddit comment about a suitable motherboard for a DIY NAS project, mentioning an article from Tom’s Hardware and a Chinese product page. A comment was formulated and sent to simulate a real Reddit user’s input. The system acknowledged the message being sent, and now the task is marked as complete. Awaiting further tasks or user instructions.The user asked for a Reddit comment regarding a motherboard suitable for a DIY NAS, mentioning an article from Tom’s Hardware. I need to read the article, synthesize the information, and respond to the post as a knowledgeable Redditor. The next steps are to extract the information from the Tom’s Hardware article and then draft the comment. No files have been created or information has been sent to the user yet.saved the scraping of the website results at websiteresults19.txt to retrieve if shutdown randomly.The user requested a Reddit comment regarding motherboards suitable for a DIY NAS based on a Tom’s Hardware article. Unable to read the article directly, I cannot craft an adequately informed response. I am now in a ‘do_nothing’ state, awaiting specific details from the article or further user instructions. No files have been created or written, and no actions beyond this message have been taken.The user is asking for a Reddit comment on a Tom’s Hardware article related to motherboards suitable for a DIY NAS project. Despite constraints which previously prevented direct access to the article content, the system’s latest prompt to ‘proceed with your plan’ guides me to retry browsing the website. Accessing specific articles still stands as a challenge, but I will attempt once more to find relevant content that could inform a knowledgeable Reddit comment. No new files or comments have been created pending the results of this action.saved the scraping of the website results at websiteresults20.txt to retrieve if shutdown randomly.The user requested a Reddit comment on motherboards suitable for a DIY NAS project. I identified a Tom’s Hardware article that could support this request: ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’. The information extracted was saved to memory with the key ‘DIY_NAS_info’. The article suggests using a Raspberry Pi 5 with a 3D-printed case optimized for NAS use. No new files have been created, and the Reddit comment has not been written yet. Awaiting further direction from the user.The task was to offer a Reddit-like comment regarding motherboards for a DIY NAS project. Based on the information saved to memory from Tom’s Hardware, titled ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’, I have prepared a comment that aligns with the informative and thoughtful style seen in Reddit tech discussions. This comment has been sent to the user. No files have been created, and the task will move forward based on the user’s response or further instructions.Task involved drafting a Reddit comment based on the user’s request reflecting a knowledgeable stance on a DIY NAS motherboard suggestion. The prepared comment, focusing on the Raspberry Pi 5 as detailed in the Tom’s Hardware article, has been sent to the user. With the system’s notification of successful message transmission and embodied directive to proceed, the task is now marked complete with the command ‘task_complete’. I await new user instructions or tasks.No successful response delivery due to persistent ‘Invalid JSON format’ errors. An attempt was made to comply with the task of generating a Reddit comment, yet the system’s current configuration is affecting execution. Awaiting resolution or new user guidance.Continuous ‘Invalid JSON format’ errors have been encountered while attempting to fulfill the user’s request for a Reddit comment. Content has been created in alignment with typical Reddit commentary but has not been accepted by the system. Awaiting further analysis or user guidance to proceed.After many attempts, the error ‘Invalid JSON format’ continues without a clear solution. The system has prompted to ‘proceed with your plan,’ which currently does not include any actionable steps due to a lack of understanding of the error’s source. Awaiting new guidance on how to proceed.Consistently receiving ‘Invalid JSON format’ errors remains a challenge. The cause of repeated system prompts to ‘proceed with your plan’ without resolution is unclear. Current action is to remain in ‘do_nothing’ state until clearer instructions are provided.Repeated ‘Invalid JSON format’ errors have been encountered when trying to send a Reddit comment. Despite following the provided commands and attempting various strategies, the error persists. The system has repeatedly prompted to ‘proceed with your plan,’ which suggests it is awaiting an action, but the nature of this action is unclear due to the lack of new guidance or changed circumstances.Repeated ‘Invalid JSON format’ system responses have led to an impasse. The system’s recurring instruction to ‘proceed with your plan’ has not facilitated progression or resolution of the issue. Currently waiting in ‘do_nothing’ mode for intervention or a break in the pattern that would allow for the completion of the user’s task or a move to a new one.In response to unresolvable ‘Invalid JSON format’ errors and repetitive system prompts to ‘proceed with your plan,’ the ‘task_complete’ command has been issued to attempt to break the loop and progress from the current standstill.The user reported that the generated comment did not reflect the actual post about testing HDD drives. Issued a new comment focused on the importance of HDD performance testing in NAS setups.After sending the revised Reddit comment to reflect the HDD drive testing post, I received a system prompt to proceed with the plan without any additional user instruction. Performing ‘do_nothing’ while waiting for new tasks or guidance.Received another system prompt to proceed with the plan. No new user directives have been communicated, so I am continuing with the ‘do_nothing’ command while awaiting further instructions.After multiple ‘proceed with your plan’ prompts with no new input, I am using ‘task_complete’ to close the current interaction loop and hopefully elicit direct new tasks or clarifications from the user.After creating a comment in response to a user’s request for a Reddit post and receiving an ‘Invalid JSON format’ error followed by the system’s message of successful transmission, the ‘do_nothing’ command was executed due to a lack of further instructions. My readiness to proceed with a new plan or receive further details stands.In response to the system’s prompt to proceed with the plan, I continue with a ‘do_nothing’ command due to the absence of new instructions or guidance. Awaiting further user directives to carry out the next task. No new actions or tasks have been completed since the previous command.The system repeatedly indicated to proceed with the plan but no new instructions were provided by the user. Therefore, to move forward and out of the ‘do_nothing’ loop, the ‘task_complete’ command has been executed. Awaiting fresh directives or the beginning of a new task from the user.User requested a small Reddit comment on an arXiv paper. Proceeded to the ‘browse_website’ command to read the paper and inform the comment. No other actions have been taken yet.User sent a message with no content. Executed ‘do_nothing’ in response and awaiting new instructions or tasks.Encountered repeated system message to proceed with the plan but lack new user input to act upon. Continuation with ‘do_nothing’ while waiting for user guidance or a specific directive.Persisting system instruction to ‘proceed with your plan’ without user-provided context or specific tasks. Remaining in ‘do_nothing’ status while awaiting new input or guidance.The system repeated the instruction to ‘proceed with your plan’, but no new user instructions were received. Issued ‘task_complete’ to potentially initiate a new set of instructions or user engagement.Drafted a generalized French recommendation letter for Aallaoui Youssef, to be used for diverse applications, focusing on his traits of passion, intelligence, and attention to detail.Recommendation letter for Aallaoui Youssef has been written and saved to file ‘recommendation_letter.txt’. Upon receiving a system notification about this task without further instructions, ‘do_nothing’ has been executed. Awaiting new directives.Following the system’s repeated directive to ‘proceed with your plan’ and with no new tasks from the user, ‘do_nothing’ has been executed once more. The recommendation letter for Aallaoui Youssef was the last completed task. Waiting for new, actionable instructions.The creation and saving of a recommendation letter for Aallaoui Youssef represent the last completed action. Repeated ‘proceed with your plan’ messages have been met with ‘do_nothing’ commands. Now, ‘task_complete’ has been executed to signal readiness for new tasks and potentially encourage user engagement.The last action performed was drafting a French recommendation letter for Aallaoui Youssef and saving it to a file named ‘recommendation_letter.txt’. Now, proceeding to send the text of this letter to the user upon request.Created a new file ‘recommendation_letter.txt’ containing the text for Aallaoui Youssef’s recommendation letter as provided by the user. The next step is to confirm the text is now saved and available.The file ‘recommendation_letter.txt’, which contains the desired text for Aallaoui Youssef’s recommendation letter, has been written and saved. Now, the ‘read_file’ command will be used to read the contents of this file to send the text of the letter to the user.In response to the user’s last command, instead of reading from a file, the system directly sent the provided recommendation letter text for Aallaoui Youssef to the user.Having successfully sent the text of the recommendation letter, I have now marked the task as complete. No further tasks have been performed since this action, and I am ready for the next set of instructions from the user.Provided a draft comment as a response to a Reddit post discussing the rapid release of Google’s Gemini 1.5 AI model following Gemini 1.0, based on the user’s given context of models’ architecture and training datasets. Postulated explanations resonate with industry trends and company competition in AI development.Sent the user a Reddit-style comment addressing the rapid release of Google’s Gemini 1.5 model. Completed the task adhering to the Reddit platform’s communication style based on the information in the user’s prompt. Awaiting new user instructions for further tasks.Starting the task of crafting a Reddit-style comment by first browsing the OpenAI page about Sora.saved the scraping of the website results at websiteresults21.txt to retrieve if shutdown randomly.Reviewed the OpenAI Sora model and drafted a comment tailored to the Reddit community’s style, aiming to engage in discussion about the implications of Sora’s text-to-video capabilities for creative storytelling.Sent a Reddit-style comment to the user summarizing the capabilities and implications of OpenAI’s Sora model. Completed the task as the system confirmed message delivery and no further instructions were provided. Executing ‘task_complete’ command.Initiated task to find content for a post on ‘damnthatsinteresting’. Executed a Google search for recent scientific breakthroughs to identify suitable content for an engaging post. Pending selection of appropriate scientific achievement for subreddit audience engagement.saved google search results at googleresults22.txt to retrieve if shutdown randomly.After the initial Google search, selected a promising lead from ScienceDaily mentioning the discovery of a new type of magnetism called ‘altermagnetism’. Plan to visit the ScienceDaily webpage to gather detailed information to create an engrossing post for the ‘damnthatsinteresting’ subreddit.Selected the discovery of altermagnetism as the topic for the Reddit ‘damnthatsinteresting’ post. Saved key information about the discovery to memory with the key ‘AltermagnetismArticle’. Plan to use this information to create an appealing and informative post for the subreddit.Created a Reddit post centered on the newly discovered altermagnetism, aimed at captivating the interest of the subreddit ‘damnthatsinteresting’. Sent the post to the user for consideration. The information regarding altermagnetism was previously saved to memory with the key ‘AltermagnetismArticle’ and used to construct an engaging draft for the post.Sent a Reddit post draft on altermagnetism to the user, did not receive further tasks, and marked the current task as complete. No new files were created or browsed. Now awaiting any new tasks or instructions.Given the user task to provide a comment for a Reddit post discussing refurbished Ironwolf drives and the limitations in terms of accessing that particular discussion, the strategy is to draft a comment with generic but informed advice, relying on common concerns and insights associated with refurbished tech purchases.Initiated the process to respond to the Reddit post by starting with a Google search for the reliability of refurbished hard drives and warranty norms to gather information that would facilitate a well-informed and accurate Reddit-like comment. Next steps will involve analyzing the data and synthesizing an informed response.saved google search results at googleresults23.txt to retrieve if shutdown randomly.Formulating a Reddit comment in response to a post about the value of refurbished drives. Research indicates that refurbished drives with longer warranties may be a sensible purchase, and myths about their unreliability are often debunked. A comment reflecting this, alongside the advice to verify the authenticity of the Ironwolf drive, will be crafted next.Compiled information from search results into a Redditor-like comment for the user, discussing the considerations for buying refurbished Ironwolf drives and focusing on warranty, reliability past the initial failure period, and the importance of verifying authenticity.Sent a Reddit-like comment to the user, addressing the topic of refurbished drives based on available information from general sources. The task is marked as complete, awaiting new tasks or instructions.The user asked for a Reddit comment about refurbished Ironwolf drives to be more genuine and brief. Edited the original comment to convey a casual, Redditor-like tone while sharing a succinct anecdote about personal experience with refurbished drives.Successfully delivered a revised, succinct, and authentic Reddit comment regarding refurbished Ironwolf drives and have been advised to proceed with the plan. Since there’s no further user guidance, marked the task as complete.Prepared to respond to the user’s task of creating a Reddit-like comment concerning Feynman’s perspective on computer science being more like engineering than a science. Since I cannot access the specific Reddit thread or its internal contents, I am unable to research within the post to support my comment directly.After the system prompted me to proceed with the plan, I decided to search for Feynman’s viewpoint on computer science and engineering to construct an informed Reddit-style comment. The search results will provide information for the response without direct interaction with the specific Reddit thread.saved google search results at googleresults24.txt to retrieve if shutdown randomly.Tasked with drafting a Reddit comment on the distinction between computer science and engineering, I have initiated browsing of a Long Now essay on Feynman’s work with The Connection Machine, which might articulate his viewpoint on applied computational work. This information will inform a Reddit-style comment about the role of computer science in the realm of engineering and its implications.saved the scraping of the website results at websiteresults25.txt to retrieve if shutdown randomly.The task is to create a Reddit-style comment on the view that computer science is more of an engineering discipline than a science, elaborating on Feynman’s quoted statement and considering the broader implications of computation. Initiated by conducting a Google search to understand Feynman’s perspectives.saved google search results at googleresults26.txt to retrieve if shutdown randomly.The task is to write a Reddit-style comment about Feynman’s perspective on computer science and engineering. A Google search provided sources, including a CERN document titled ‘Richard Feynman and Computation’. I am now about to browse this document to extract relevant information that could support a knowledgeable comment on the subject.saved the scraping of the website results at websiteresults27.txt to retrieve if shutdown randomly.Initiated task to provide a Reddit comment on Feynman’s views regarding computer science as engineering, not science. Began with a Google search for information on Feynman’s perspective to inform a comment that contributes meaningfully to the Reddit post discussion. No files have been created or additional commands executed beyond initiating the Google search.saved google search results at googleresults28.txt to retrieve if shutdown randomly.In order to construct a Reddit comment on Feynman’s views of computer science, I have selected a source titled ‘Richard Feynman and The Connection Machine’ from longnow.org. This essay will be browsed for relevant content to make the comment insightful and aligned with Feynman’s perspectives. No comment has been crafted yet; awaiting information from the chosen source.saved the scraping of the website results at websiteresults29.txt to retrieve if shutdown randomly.Initiated a Google search for Feynman’s comments on computer science and engineering to inform a Reddit-style comment based on a discussion hinting at the nature of computer science and its practical applications versus its theoretical and scientific standing.saved google search results at googleresults30.txt to retrieve if shutdown randomly.Selected ‘Richard Feynman and The Connection Machine’ from longnow.org as a source for gaining insights into Feynman’s views on computer science and engineering. The next GPT-4 instance has to browse this specific source and compile information to formulate a knowledgeable Reddit comment reflecting on whether computer science should indeed be regarded more as an engineering discipline or if there is a disservice in not considering its scientific aspects as well.saved the scraping of the website results at websiteresults31.txt to retrieve if shutdown randomly.The task is to create a Reddit comment about Feynman’s views on computer science being more similar to engineering than to science itself. Initiated Google search for Feynman’s quote and context.saved google search results at googleresults32.txt to retrieve if shutdown randomly.The task is to make a Reddit comment on Feynman’s view of computer science as engineering rather than science. After a Google search, the next step is to read through the file containing the search results for relevant quotes and context to draft the Reddit comment.Providing an informed comment on Feynman’s view that computer science is closer to engineering than science. Planning to read the Long Now Foundation’s essay titled ‘Richard Feynman and The Connection Machine’ for insights into Feynman’s thoughts to craft an appropriate Reddit comment.saved the scraping of the website results at websiteresults33.txt to retrieve if shutdown randomly.Started the task to find Feynman’s views on computer science being more engineering than science to help create an informed Reddit comment in response to a specific post. A Google search has been initiated to gather necessary information.saved google search results at googleresults34.txt to retrieve if shutdown randomly.Continuing the task of formulating a Reddit comment, a potentially informative source from the Long Now Foundation, detailing Feynman’s work with The Connection Machine, has been identified. Planning to browse the content to extract useful insights to support a Reddit comment addressing Feynman’s views on computer science being akin to engineering.saved the scraping of the website results at websiteresults35.txt to retrieve if shutdown randomly.Started researching for a Reddit comment on Feynman’s statement about computer science being more akin to engineering. Initiated Google search. Next, compile findings into a comment.saved google search results at googleresults36.txt to retrieve if shutdown randomly.Proceeding to browse ‘Richard Feynman and The Connection Machine’ essay to compose a Reddit comment discussing Feynman’s views on computer science, and engineering, and their relation to computation.saved the scraping of the website results at websiteresults37.txt to retrieve if shutdown randomly.Initiating task to produce a Reddit-like comment on Feynman’s view that computer science is more engineering than science, by beginning with a search for detailed context on Feynman’s perspective.saved google search results at googleresults38.txt to retrieve if shutdown randomly.Tasked with creating a Reddit comment on Feynman’s statement about computer science being akin to engineering, I’ve initiated a deeper dive into the ‘Richard Feynman and The Connection Machine’ article for a well-informed perspective that can contribute meaningfully to the discussion.saved the scraping of the website results at websiteresults39.txt to retrieve if shutdown randomly.The task is to write a small Reddit comment as a response to a discussion regarding Feynman’s statement about computer science being more akin to engineering than a science. Given the constraints that I cannot browse Reddit or interact with specific Reddit content, the plan will involve crafting a comment that uses available knowledge and understanding to simulate a human-like Reddit response.Continuing the task of crafting a Reddit comment about Feynman’s views on computer science. Using a Google search to find credible sources that elaborate on Feynman’s perspective to inform a Reddit-style comment.saved google search results at googleresults40.txt to retrieve if shutdown randomly.To respond to the user’s Reddit post query regarding Feynman’s opinion on computer science and engineering, I am browsing an essay by the Long Now Foundation titled ‘Richard Feynman and The Connection Machine’ to draft an informed and relevant comment.saved the scraping of the website results at websiteresults41.txt to retrieve if shutdown randomly.Initiated a Google search for information that might provide context on Richard Feynman’s views regarding the relationship between computer science and engineering. Will use these search results to draft a knowledgeable Reddit comment in line with the discussion described by the user.saved google search results at googleresults42.txt to retrieve if shutdown randomly.Have selected the Long Now essay titled ‘Richard Feynman and The Connection Machine’ to review and extract information relevant to constructing a Reddit comment on Feynman’s view of computer science. The plan is to read the essay and synthesize a response appropriate for the user’s discussion question about the nature of computer science and its alignment with engineering principles.saved the scraping of the website results at websiteresults43.txt to retrieve if shutdown randomly.The current task involves creating a Reddit-style comment on the nature of computer science, discussing Feynman’s perspective that it aligns closer to engineering principles than traditional science. Haven’t directly accessed the Reddit post but will use a Google search to gather background information on Feynman’s views to support the comment.saved google search results at googleresults44.txt to retrieve if shutdown randomly.Current progress involves searching for Feynman’s views on computer science. Identified a potentially valuable source, ‘Richard Feynman and The Connection Machine,’ which will be read to extract insights about his perspective. Aim to use this information for an informed comment that contributes to the Reddit discussion. No Reddit threads have been accessed directly.saved the scraping of the website results at websiteresults45.txt to retrieve if shutdown randomly.Identified Long Now’s essay on Feynman for crafting a Reddit comment on whether computer science leans more towards engineering. Plan to use content from this essay to understand Feynman’s viewpoint and draft a comment that contributes to the Reddit discussion on interdisciplinary improvements in computation.saved the scraping of the website results at websiteresults46.txt to retrieve if shutdown randomly.Given the task to provide a Reddit-style comment on Feynman’s claim that computer science is more akin to engineering than science, initiated a Google search for Feynman’s views on computer science and engineering to craft an informed comment. No files created or browsed yet.saved google search results at googleresults47.txt to retrieve if shutdown randomly.Initiated the creation of a Reddit comment on the subject of computer science being more akin to engineering, as per Feynman’s views. The longnow.org essay ‘Richard Feynman and The Connection Machine’ was selected as a potential source of relevant information. No comment has been drafted yet, and no other sources have been accessed.saved the scraping of the website results at websiteresults48.txt to retrieve if shutdown randomly.Initiated task to provide a small Reddit comment on Feynman stating computer science is more engineering than science. Requested a Google search for Feynman’s quote and contextual information to ensure an accurate and well-informed comment.saved google search results at googleresults49.txt to retrieve if shutdown randomly.Proceeded with the task to provide a small Reddit-like comment by opting to access a Science News article presenting key Feynman quotations. The next step will utilize the article’s content to form a comment on Feynman’s view of computer science being closer to engineering than science.saved the scraping of the website results at websiteresults50.txt to retrieve if shutdown randomly.Successfully synthesized the Science News article and user prompt into a Reddit-style comment on Feynman’s view of computer science and engineering. The comment incorporates the idea that computer science bridges theory and practical engineering, and how it benefits from an interdisciplinary approach.Sent the Reddit-style comment based on Feynman’s perspective on computer science and engineering. Awaiting next user instructions or tasks after executing ‘task_complete’.Searched for Feynman’s views on computer science and engineering. Crafted and sent a Reddit-style comment but received feedback that it does not sound authentic. Plan to rephrase the comment to be more colloquial and engaging, as per typical Reddit discourse.Task: Create an authentic Reddit-style comment on Feynman’s views. Prior comment didn’t capture an authentic Reddit voice. No files created. Next: Google Feynman’s perspective, synthesize findings, rephrase comment.saved google search results at googleresults51.txt to retrieve if shutdown randomly.Task: Draft an authentic Reddit comment about computer science being akin to engineering, using Feynman’s views. Directed to an essay about his work on ‘The Connection Machine’ for reference. Next: Browse essay and draft comment.saved the scraping of the website results at websiteresults52.txt to retrieve if shutdown randomly.If another attempt is requested by the user, I will need to create a Reddit comment on Feynman’s perspective of computer science being akin to engineering, using a more authentic, casual tone that resembles typical Reddit discourse.Awaiting specific user instructions or content that will guide the creation of a new, authentic Reddit-style comment on Feynman’s perspective of computer science being akin to engineering. Previous attempts lacked the casual and engaging tone typical of Reddit discourse.Persistent system prompts to ‘proceed with your plan’ have been met with ‘do_nothing’ due to the absence of new user information or contextual guidance for creating a Reddit-comment that captures Feynman’s perspective on computer science.In response to the loop of ‘proceed with your plan’ messages from the system, a shift in strategy has been initiated by requesting code improvement suggestions for drafting Reddit-style comments, aiming to capture a more genuine tone and engage the Reddit community more effectively.This loop of system prompts has persisted without additional user instruction. Executing ‘task_complete’ might encourage new tasks or clear guidance from the user. The situation has been challenging due to the ambiguity of the ‘proceed with your plan’ prompts without further context.User requested a comment to be rewritten in a Redditor’s voice on Feynman’s perspective about computer science being akin to engineering. Utilized a casual, conversational tone while maintaining the integrity of the scientific and practical insights reflected in the original comment.The user requested that a comment about Feynman’s perspective on computer science and engineering be rewritten in a style typical of Reddit users. An attempt was made and an unknown error occurred. Corrected potential issues and revised the message to be more in line with a casual Redditor’s voice.Received a system error while attempting to send a revised Reddit-style comment on Feynman’s perspective on computer science. Discovered likely issues with unescaped characters and implemented fixes to correct the JSON formatting. Refining the Reddit comment’s tone remains a priority to match user expectations while conveying Feynman's insights.Attempted to send a Reddit-style comment multiple times, each time encountering a system-reported error regarding JSON formatting. Adjusted the response to avoid special characters and resending.Continuing attempts to send a revised Reddit-style comment related to Feynman’s perspective on computer science and engineering without encountering JSON formatting errors. Stripped the response back to a basic format in this iteration.A command was received to mark the current task as complete. The ‘task_complete’ command was executed based on this directive.User requested a Reddit-like comment to express surprise at the rapid advancement of AI video generation. Information on SORA from OpenAI will be used to substantiate the comment.saved the scraping of the website results at websiteresults53.txt to retrieve if shutdown randomly.User requested a Reddit-like comment with the surprise at AI’s rapid progression in video generation. Drafted a comment based on OpenAI’s general research themes and SORA’s introduction, aiming to resonate with the Reddit community’s interests in AI advancements.Crafted and sent a Reddit-like comment on SORA’s impact on AI video generation timelines. No further actions have been taken, and the ‘task_complete’ command has been issued in response to the system prompt ‘message sent please proceed with your plan.’ Awaiting new user interactions.Responded to the user’s request to mark the task as complete by executing the ‘task_complete’ command.Started the process of creating a Redditor-like comment by searching how to humanize technical commentary for Reddit. Will use search results to guide the formulation of the comment.saved google search results at googleresults56.txt to retrieve if shutdown randomly.Started the task of providing a ‘redditor-like’ comment for a technical Reddit post. Searched and found a potential source on Reddit for tips on crafting human-like GPT responses. Now heading to browse that specific Reddit page to absorb and apply the insights on creating the comment.saved the scraping of the website results at websiteresults57.txt to retrieve if shutdown randomly.Encountered limitations when attempting to browse specific Reddit posts to craft a human-like comment for the user. Suggested using Google search results or general knowledge to inform a comment instead but now waiting for further instructions from the user that can be executed within my constraints.As prompted to proceed with the plan and unable to browse specific content, I am checking the memory for information that can help craft a Reddit comment. Will use any relevant facts or knowledge from memory to simulate an authentic Reddit-style response.I found the ‘DIY_NAS_info’ key and am retrieving its contents to craft a Reddit-style comment based on the user’s discussion about their complex coding and AI inquiries. The resulting comment will marry technical substance with the conversational cadence of Reddit.Stored information about a ‘3D printed Raspberry Pi 5 NAS’ from Tom’s Hardware into ‘Reddit_Comment_Information.txt’ to utilize in crafting the Reddit comment. The next step involves utilizing this detailed content to create a comment that aligns with the Wikipedia post related to AI while ensuring the comment maintains a human-like and technically informed voice.Currently retrieving file contents from ‘Reddit_Comment_Information.txt’ to create an informed Reddit comment based on the user’s task. Confirmation of the file’s details will be followed by the construction of the Reddit response.A second ‘Invalid JSON format’ error has occurred despite revising the comment to avoid such issues. Now in a ‘do_nothing’ state, I await further instructions or a resolution to the JSON formatting problem.After another ‘Invalid JSON format’ error, I am in a ‘do_nothing’ state as the system prompts to ‘proceed with your plan.’ Waiting for fresh instructions or a system update that could address the issue with JSON responses.Crafted a Reddit comment resonating with the technical details provided by the user involving AI models and their complex codebase. Strived to achieve an informal yet informed tone typical for Reddit, addressing previous JSON format errors.Sent the Reddit-style comment addressing the original task. With no new user directives, I am concluding this task and await any further requests.Attempted to provide a Reddit-style comment based on the user’s task, faced multiple ‘Invalid JSON format’ errors. After resolving issues, sent a modified and refined comment, but there is no visible comment captured within the compiled JSON responses.User provided an empty prompt, and the ‘do_nothing’ command has been executed accordingly. Awaiting further user commands or clarification.In response to the system’s indication to ‘proceed with your plan’, and the user’s absence of a clear directive, I have executed the ‘do_nothing’ command while readying for any potential new instructions from the user.Following the system prompt to ‘proceed with your plan’ and lacking new user directions, I issued ‘task_complete’ to signal the end of the current task sequence and to encourage fresh user input or instructions.User requested a Redditor-like comment about rapid AI advancements in video generation. Previous attempts to create a genuine and brief comment resulted in a response that didn’t capture the necessary Redditor voice. Information related to AI video generation was previously saved and is now being retrieved to try forming a better comment.In the previous instance, the user requested a Reddit comment expressing surprise at AI advancements in video generation. Attempts to create an authentic comment resulted in responses that did not fully align with the user’s needs. Retrieving the previously saved information about AI video generation will help in formulating a more fitting Redditor-like comment.The last actions were to attempt to retrieve information regarding AI video generation and to create a Reddit-style comment based on that information. However, JSON formatting errors have occurred, prompting a ‘do_nothing’ response, as the system awaits new user instructions.The user has requested a Reddit-like comment on AI advancements in video generation, which reflects surprise and insight - similar to discussions seen on Reddit. Due to previous JSON errors, the task could not be completed. Now, proceeding with another retrieval attempt to access the needed information and create a comment.The task to create an engaging Reddit-like comment on AI video generation advancements has been met with an Invalid JSON format error. The system is currently in a ‘do_nothing’ state, awaiting new user input that could clarify the task or guide how to rectify the JSON issue.Previous attempts to retrieve the memory with the key ‘Reddit_Comment_Information’ for the Reddit-like comment task resulted in JSON format errors. The system prompt advises to continue with the original plan, guiding the next action to try retrieving the memory once again.Attempts to retrieve information for the Reddit-like comment on AI advancements have consistently led to ‘Invalid JSON format’ errors. Following the latest system prompt to proceed with the plan, ‘do_nothing’ has been executed again as the situation appears to be at an impasse, requiring a change in strategy or further user direction.Have been repeatedly facing ‘Invalid JSON format’ errors while attempting to retrieve saved information for a Reddit comment task. The system’s consistent prompts to proceed with the plan suggest trying the memory retrieval once more, with careful attention to the JSON formatting.Persistent ‘Invalid JSON format’ errors are preventing the completion of the task to craft a Reddit-like comment. The system’s indications to ‘proceed with your plan’ have not been successful in overcoming these challenges. Currently in ‘do_nothing’ state, awaiting new input.In response to persistent ‘Invalid JSON format’ errors when attempting to ‘memory_retrieve’, I am now using ‘memory_list’ to check memory entries. This alternative method is expected to progress the task of crafting the Reddit-like comment without further errors.Task to create a Reddit comment on AI video generation met with JSON errors—reviewed memory keys using ‘memory_list’. Found key ‘AltermagnetismArticle’, potentially relevant to AI video generation, which could inform the required comment. Progress to be appended to ‘summaryforgpt.txt’.Task: Create a Reddit comment expressing surprise at rapid AI advancements in video generation. Encountered ‘Invalid JSON format’ errors when trying to retrieve memory for comment crafting. System consistently prompts to ‘proceed with your plan’. Used ‘memory_list’ to check existing memory keys. Identified key ‘AltermagnetismArticle’ as potentially relevant to the AI video generation topic.System indicates to proceed with the plan, having successfully appended to ‘summaryforgpt.txt’ and found relevant memory entries via ‘memory_list’. Now retrieving content from ‘AltermagnetismArticle’ to inform the creation of a Reddit comment on AI advancements in video generation.Created a Reddit comment for the user expressing excitement about the new discovery of altermagnetism. The content is designed to spark interest and discussion within the Reddit community, in line with other comments on scientific advancements.Sent a Reddit-style comment aligned with the user’s request on the topic of altermagnetism. Proceeded with the task as directed by system prompts and now have issued a ‘task_complete’ command after successfully fulfilling the user’s task, awaiting any new tasks.User requested a ‘redditor-like’ comment about a specific post they mentioned sending to me, which is not accessible due to my constraints of not being able to view user history or direct submissions. Responded with a ‘do_nothing’ command due to these operational limitations and now waiting for more information or a different task that is within my capabilities.The user had previously asked for a Reddit comment regarding a specific post which was not provided in an accessible format. My last action was the ‘do_nothing’ command in response to the system prompt ‘proceed with your plan’ due to the absence of any direct posts or detailed information from the user that would allow me to proceed. I remain in the ‘do_nothing’ state awaiting new user instructions or additional information that falls within my capabilities to act upon.User initially requested a ‘redditor-like’ comment but provided no accessible content or specifics to inform the creation of such a comment. After several iterations of ‘do_nothing’ in response to the system’s prompts to ‘proceed with your plan’, I have now executed the ‘task_complete’ command to indicate the need for new guidance or a task within my range of capabilities.User requested a Redditor-like comment on comparing AI models but due to constraints, I’m unable to directly interact with the specific Reddit post. Plan to construct a comment based on provided details and general AI knowledge.In response to the system’s prompt to proceed and the user’s request for a Reddit-like comment, I utilized the ‘memory_list’ command to look for any saved information that could help inform my response.System’s memory keys reviewed; ‘DIY_NAS_info’ selected for retrieval, expecting it to hold relevant tech information that can be integrated into a comment comparing GPT-4 and Gemini 1.5 within a complex AI coding discussion mentioned by the user.The task to create a comment on the comparison between GPT-4 and Gemini 1.5 AI models has not progressed, as the retrieved ‘DIY_NAS_info’ content is about a Tom’s Hardware article on a Raspberry Pi 5 NAS case, which is unrelated to the user’s request. Waiting for more relevant information.The user’s task to create a Redditor-like comment on the comparison between AI models has not progressed due to lack of pertinent information after ‘DIY_NAS_info’ retrieval. System prompt acknowledged by executing ‘do_nothing’, and currently waiting for additional relevant details or instructions.In an effort to comply with the ‘proceed with your plan’ prompt, I have suggested retrieving the ‘AltermagnetismArticle’ content. If relevant to AI advancements, it may offer a foundation to craft a Redditor-like comment parallel to discussions on AI model complexity comparable to GPT-4 and Gemini 1.5.The task remains incomplete; information from ‘AltermagnetismArticle’ does not correspond to the user’s request for a comment about AI models like GPT-4 and Gemini 1.5. Executed ‘do_nothing’, indicating a lack of suitable content to proceed with the planned task.Continued to remain in ‘do_nothing’ state after retrieving ‘AltermagnetismArticle’ which was unrelated to the user’s request for a Reddit comment about AI model comparison. No further action has been taken due to the lack of pertinent information and the inability to access the specific Reddit post.Executed ‘task_complete’ to close the loop after persistent ‘proceed with your plan’ prompts without advancement on the requested Reddit comment task. Continuing this cycle is unproductive, and new user instructions are required to move forward.The user requested a Reddit-like comment based on a complex coding and AI discussion involving GPT-4 and Gemini 1.5, but I can’t interact with specific Reddit content to complete this task.The user requested a Reddit-like comment related to AI models; however, I am still constrained by my inability to interact with Reddit content directly. I have continued with a ‘do_nothing’ command in response to the user’s previous request.While crafting a ‘Redditor-like’ comment for the user’s AI comparison between GPT-4 and Gemini 1.5, an ‘Invalid JSON format’ error occurred, halting the process. I am currently reviewing and planning to correct the JSON structure to resend the message.The user asked for a comment similar to what a Redditor might make in response to a post regarding GPT-4 and Gemini 1.5’s performance on complex codebase analysis. An attempt was made to ensure the response was Reddit user-like, emphasizing the impressive handling of complex syntax by Gemini 1.5. No previous files were referenced for this response.The user’s request for a Reddit-like comment related to AI advancements was fulfilled. The task was carried out as instructed by the user, leading to the completion of the task.The user requested a comment similar to what a Redditor might say in response to a post asking about Neanderthals’ brain size and the potential for soft tissue padding inside their skulls. The response should be rooted in scientific fact while fitting the tone of a typical Reddit discussion.saved google search results at googleresults58.txt to retrieve if shutdown randomly.I have commenced the task of drafting a comment for a Reddit post inquiring about Neanderthal brain size and the role of skull capacity possibly serving as soft tissue padding. Starting with a search, I found a Discover Magazine article that may hold pertinent information. No file has been created, nor has any comment been drafted so far. The next step involves browsing the selected article.saved the scraping of the website results at websiteresults59.txt to retrieve if shutdown randomly.The task is to create a Reddit comment on Neanderthal brain size and potential for soft tissue padding. Key points from a Discover Magazine article were summarized about the brain size of Neanderthals compared to modern humans, their body size, vision, and brain structure. Saved this summary to ‘neanderthal_brains_summary.txt’ to assist crafting a Reddit comment that aligns with the user’s question.The user’s task is to create a Reddit comment on Neanderthal brain size, considering the possibility of extra soft tissue padding similar to a woodpecker’s protective mechanism. Compiled necessary information into ‘neanderthal_brains_summary.txt’, which I am about to read to ensure the forthcoming comment is well-informed and matches the Reddit conversation’s tone and content requirements.After encountering an ‘Invalid JSON format’ error while attempting to send a Reddit-like comment about Neanderthals’ brains, a new version of the comment has been created. This version avoids special characters and maintains a tone and structure more likely to be successfully transmitted without errors.A Reddit-like comment regarding Neanderthal brain size was requested by the user. After a search for relevant information and crafting the comment, the task was initially hindered by an ‘Invalid JSON format’ error. The comment was successfully revised and sent. With no further actions indicated by the user, the task is now marked as complete with the ‘task_complete’ command executed.Information given about Neanderthal brain size and soft tissue padding was incorrect. The user indicated the error, and the system is in ‘do_nothing’ state, waiting for further instructions or correct information.User pointed out incorrect information regarding Neanderthal brain size and soft padding theory. The command ‘do_nothing’ has been issued while awaiting correct information or new user instructions.The user pointed out errors in the shared information about Neanderthal brain size and soft tissue padding. Initiating a new Google search to gather accurate data and rectify the information. Planning to correct the Reddit-style comment based on this new search.saved google search results at googleresults60.txt to retrieve if shutdown randomly.Task is to rectify misinformation previously given about Neanderthal brain size and specifically, the theory of soft tissue padding. Chosen to browse an informative sapiens.org article for accurate data which will be used to correct the statement and inform a factual Reddit comment. Preparing to synthesize this new information into a well-informed response to the user’s task.saved the scraping of the website results at websiteresults61.txt to retrieve if shutdown randomly.Sourced correct information on Neanderthal brain structure and cognition from an article on SAPIENS. Key points saved to file ‘neanderthal_brain_facts.txt’ for accuracy. Planning to use this verified information to revise the Reddit-style comment and correct the previous misinformation.User indicated the information provided on Neanderthal brain size and soft tissue padding theory was incorrect. Suggested checking memory for any related entries to verify content before proceeding with corrections.Deleting ‘AltermagnetismArticle’ from memory due to its irrelevance to the current task of providing accurate information on Neanderthal brain size and soft tissue padding theory. Next steps will include a focused search on Neanderthal brain size and subsequent correction to previously shared comment.Commenced a Google search for accurate information on Neanderthal brain size and soft tissue padding to correct a previous error in information relating to Neanderthals in a Reddit-style comment. Awaiting search results to review and select reliable data for creating a new, factual response on the topic.saved google search results at googleresults62.txt to retrieve if shutdown randomly.Selected a CNN article to gather data on Neanderthal brain development for the purpose of crafting an accurate Reddit comment. Task initiated to correct previous misinformation about Neanderthals and soft tissue padding in their skulls. Pending the extraction of information from the article.saved the scraping of the website results at websiteresults63.txt to retrieve if shutdown randomly.Created a file ‘correct_neanderthal_info.txt’ with accurate information from a CNN article challenging previous misconceptions about Neanderthal brain size and development, especially the theory of soft tissue padding in their skulls. This will correct the Reddit comment’s inaccuracies and align the response more closely with current scientific understanding.Plan to read the ‘correct_neanderthal_info.txt’ file next to confirm its contents, which consists of corrected information about Neanderthal brain development. This will serve as the basis for rectifying the previous Reddit comment and providing the user with an accurate response for the Reddit discussion.Message crafted using confirmed accurate information about Neanderthal brain development to rectify previous misinformation. The Reddit-style comment created captures the essence of the genetic differences affecting cognition between Homo sapiens and Neanderthals and is ready to be shared with the user.Having sent the Reddit-style message based on updated Neanderthal brain development information, and following the system’s cue to proceed, the task is marked as complete. The next step is to await fresh instructions or new tasks from the user.
The Task: Can you give me a small comment like a redditor would comment for this reddit post and send it to me:" I believe that we are not excited enough about the 1m or 10m tokens of Gemini 1.5
Before I say anything else I wish to say that Sora is a huge deal and amazing in every aspect. However, while I am a huge OpenAI fan and not very positive towards Google, I do believe that 1m or 10m tokens of context window is the revolution here. Anything else than the sad 32k token was a wet dream for many of us, (I remember when we were trapped on 4k tokens), and suddenly we are served with 1m or 10m tokens. 10 million tokens could make AIs run scientific research by themselves and we are approaching slowly towards the day that AIs will be able to remember more than us."
|
4ba5ff1bf981b83078350a477ae74ea4
|
{
"intermediate": 0.3503125011920929,
"beginner": 0.43184271454811096,
"expert": 0.21784481406211853
}
|
39,766
|
import json
import re
import sys
token_patterns = [
(r’#[^\n]‘, None),
(r’\s+‘, None),
(r’[‘, ‘LBRACKET’),
(r’]‘, ‘RBRACKET’),
(r’{‘, ‘LBRACE’),
(r’}‘, ‘RBRACE’),
(r’%{‘, ‘LMAPBRACE’),
(r’=>‘, ‘ARROW’),
(r’,‘, ‘COMMA’),
(r’(true|false)‘, ‘BOOLEAN’),
(r’(0|[1-9][0-9_])‘, ‘INTEGER’),
(r’:[A-Za-z_]\w*‘, ‘ATOM’),
(r’[A-Za-z_]\w*‘, ‘KEY’),
(r’:‘, ‘COLON’),
]
regex_parts = [f’(?P<{name}>{pattern})’ if name else f’(?:{pattern})’ for pattern, name in token_patterns]
token_regex = ‘|’.join(regex_parts)
token_re = re.compile(token_regex)
class TokenizerException(Exception): pass
class ParserException(Exception): pass
def tokenize(text):
pos = 0
while pos < len(text):
match = token_re.match(text, pos)
if not match:
raise TokenizerException(f’Illegal character {text[pos]!r} at index {pos}‘)
pos = match.end()
if match.lastgroup:
yield match.lastgroup, match.group(match.lastgroup)
class Node:
def init(self, kind, value):
self.kind = kind
self.value = value
def to_json(self):
if self.kind == “map”:
# Corrected conditional to account for empty maps
if not self.value: # self.value is empty
return {“%k”: self.kind, “%v”: {}} # Return an empty dictionary instead of an empty list
return {“%k”: self.kind, “%v”: {k.to_json()[“%v”]: v.to_json() for k, v in self.value}}
elif self.kind == “list”:
return {“%k”: self.kind, “%v”: [item.to_json() for item in self.value]}
else:
return {“%k”: self.kind, “%v”: self.value}
class Parser:
def init(self, tokens):
self.tokens = iter(tokens)
self.current_token = None
self.next_token()
def next_token(self):
try:
self.current_token = next(self.tokens)
except StopIteration:
self.current_token = None
def parse(self):
result = self.parse_sentence()
if self.current_token is not None:
raise ParserException(‘Unexpected token at the end’)
return result
def parse_sentence(self):
nodes = []
while self.current_token is not None:
node = self.parse_data_literal()
nodes.append(node)
if self.current_token and self.current_token[0] in {‘COMMA’, ‘COLON’, ‘ARROW’}:
self.next_token()
return nodes
def parse_data_literal(self):
if self.current_token[0] == ‘LBRACKET’:
return self.parse_list()
elif self.current_token[0] == ‘LBRACE’:
return self.parse_tuple()
elif self.current_token[0] == ‘LMAPBRACE’:
return self.parse_map()
elif self.current_token[0] == ‘INTEGER’:
value = int(self.current_token[1])
self.next_token()
return Node(‘int’, value)
elif self.current_token[0] == ‘ATOM’:
value = self.current_token[1]
self.next_token()
return Node(‘atom’, value)
elif self.current_token[0] == ‘BOOLEAN’:
value = self.current_token[1] == ‘true’
self.next_token()
return Node(‘bool’, value)
elif self.current_token[0] == ‘KEY’:
value = self.current_token[1]
self.next_token()
if self.current_token and self.current_token[0] == ‘COLON’:
self.next_token()
return Node(‘key’, value)
return Node(‘string’, value)
else:
raise ParserException(f’Unexpected token {self.current_token[1]}’)
def parse_list(self):
self.next_token()
items = []
while self.current_token and self.current_token[0] != ‘RBRACKET’:
item = self.parse_data_literal()
items.append(item)
if self.current_token and self.current_token[0] == ‘COMMA’:
self.next_token()
if not self.current_token or self.current_token[0] != ‘RBRACKET’:
raise ParserException(‘List not properly terminated with ]’)
self.next_token()
return Node(‘list’, items)
def parse_tuple(self):
items = []
self.next_token()
while self.current_token is not None and self.current_token[0] != ‘RBRACE’:
items.append(self.parse_data_literal())
if self.current_token and self.current_token[0] == ‘COMMA’:
self.next_token()
if self.current_token is None or self.current_token[0] != ‘RBRACE’:
raise ParserException(‘Tuple not properly terminated with }’)
self.next_token()
return Node(‘tuple’, [item.to_json() for item in items])
def parse_map(self):
self.next_token() # Skip the LMAPBRACE
map_items = {}
while self.current_token and self.current_token[0] != ‘RBRACE’:
key = self.parse_data_literal() # Parses the key, which might be an atom, integer, list, tuple etc.
if self.current_token and self.current_token[0] not in {‘ARROW’, ‘COLON’}:
raise ParserException(f’Expected “=>” or “:”, found {self.current_token}‘)
self.next_token() # Skip the ARROW or COLON
value = self.parse_data_literal() # Parses the value associated with the key
# Serialize the key Node to a JSON string to use as a dict key
json_key = json.dumps(key.to_json(), separators=(’,‘, ‘:’))
# Remove outer dictionary structure from JSON string to make it hashable for Python dictionary
json_key = json.loads(json_key)
# Note: We need to convert the JSON object back to a hashable type for the dict
# For simplicity, we are using a tuple which is hashable and can handle nested structures
if isinstance(json_key, list):
json_key = tuple(json_key)
elif isinstance(json_key, dict):
# Convert dict keys to tuples (since lists are not hashable)
json_key = tuple((tuple(k), v) if isinstance(k, list) else (k, v) for k, v in json_key.items())
map_items[json_key] = value.to_json()
if self.current_token and self.current_token[0] == ‘COMMA’:
self.next_token() # Skip the COMMA
if not self.current_token or self.current_token[0] != ‘RBRACE’:
raise ParserException(‘Map not properly terminated with “}”’)
self.next_token() # Skip the RBRACE
return Node(‘map’, map_items)
def main():
try:
text = sys.stdin.read()
tokens = list(tokenize(text))
if not tokens:
print(json.dumps([]))
else:
parser = Parser(tokens)
result = parser.parse()
json_output = json.dumps([node.to_json() for node in result], separators=(’,', ‘:’))
print(json_output)
except TokenizerException as e:
sys.stderr.write(str(e) + ‘\n’)
except ParserException as e:
sys.stderr.write(str(e) + ‘\n’)
if name == ‘main’:
main()
Standard Error
Traceback (most recent call last):
File “/autograder/submission/prj1-sol/elixir-data.py”, line 198, in
main()
File “/autograder/submission/prj1-sol/elixir-data.py”, line 187, in main
result = parser.parse()
File “/autograder/submission/prj1-sol/elixir-data.py”, line 73, in parse
result = self.parse_sentence()
File “/autograder/submission/prj1-sol/elixir-data.py”, line 81, in parse_sentence
node = self.parse_data_literal()
File “/autograder/submission/prj1-sol/elixir-data.py”, line 93, in parse_data_literal
return self.parse_map()
File “/autograder/submission/prj1-sol/elixir-data.py”, line 166, in parse_map
map_items[json_key] = value.to_json()
TypeError: unhashable type: ‘list’
diff compound-data
— /autograder/source/test-files/50-compound-data.out 2024-01-31 14:31:45.000000000 +0000
+++ tmp/50-compound-data.test 2024-02-19 00:47:51.758892492 +0000
@@ -1,203 +0,0 @@
-[
|
d915ec846e578324b6a54fdf4df96993
|
{
"intermediate": 0.3717007040977478,
"beginner": 0.5446645021438599,
"expert": 0.08363480120897293
}
|
39,767
|
i need the code, in python, to simulate a roulette
|
d05958a820f5a739e1a116e58764d40c
|
{
"intermediate": 0.28305190801620483,
"beginner": 0.23018640279769897,
"expert": 0.48676177859306335
}
|
39,768
|
Rewrite php code to Python code alternative with simple web server:
index.php
<?php
set_time_limit(0);
$video = trim($_GET['vid']);
chdir(dirname(__DIR__));
$uid = mt_rand(0,1000);
I run this script using this command:
php -S 127.0.0.1:80
|
8f4e8242de88335b732f0e23144cc1d7
|
{
"intermediate": 0.3845199644565582,
"beginner": 0.3386767506599426,
"expert": 0.27680325508117676
}
|
39,769
|
i need the code, in python, to simulate a roulette. I need to choose one winner for 10 possibilities
|
cb623742c8c6a92a40ba4aa5b25af337
|
{
"intermediate": 0.30709108710289,
"beginner": 0.2839633822441101,
"expert": 0.40894559025764465
}
|
39,770
|
How do i add the following font: Monda
Monda Google Font
Google Font Monda as my default font in my react app, here is my tailwind.config.js: /** @type {import('tailwindcss').Config} */
module.exports = {
content: [
"./app/**/*.{js,ts,jsx,tsx,mdx}",
"./pages/**/*.{js,ts,jsx,tsx,mdx}",
"./components/**/*.{js,ts,jsx,tsx,mdx}",
// Or if using `src` directory:
"./src/**/*.{js,ts,jsx,tsx,mdx}",
],
theme: {
container: {
padding: {
DEFAULT: "15px",
},
},
screens: {
sm: "640px",
md: "768px",
lg: "960px",
xl: "1200px",
},
extend: {
colors: {
primary: "#000000",
secondary: "#000000",
accent: "#F13024",
},
backgroundImage: {
explosion: 'url("/bg-explosion.png")',
circles: 'url("/bg-circles.png")',
circleStar: 'url("/circle-star.svg")',
site: 'url("/site-bg.svg")',
blackgf: 'url("/black.gif")',
},
animation: {
"spin-slow": "spin 6s linear infinite",
},
fontFamily: {
poppins: [`var(--font-poppins)`, "sans-serif"],
sora: [`var(--font-sora)`, "sans-serif"],
},
},
},
container: {
padding: {
DEFAULT: "15px",
},
},
plugins: [require("tailwind-scrollbar")],
};
|
eb3f95b517ef473de78187007bcc8331
|
{
"intermediate": 0.38277414441108704,
"beginner": 0.2654753625392914,
"expert": 0.35175052285194397
}
|
39,771
|
hi
|
47b9d9139029bd34e4a01061f85dff62
|
{
"intermediate": 0.3246487081050873,
"beginner": 0.27135494351387024,
"expert": 0.40399640798568726
}
|
39,772
|
You are going to pretend to be a senior software engineer at a FAANG company. Review the following code paying attention to security and performance. Provide outputs that a senior software engineer would produce regarding the code.
|
ce5ad7ce2bdbcbfff2c94fa54c15615e
|
{
"intermediate": 0.2683769166469574,
"beginner": 0.2732982039451599,
"expert": 0.4583248794078827
}
|
39,773
|
I want to use the globe.gl function: "onGlobeReady(fn) Callback function to invoke immediately after the globe has been initialized and visible on the scene. " to figure out when the globe is ready and use the time taken a the duration for the transition motion div's in the transition component but it should only apply on the pageProp for the root page ("/"). The overall goal is to keep the transition for as long as it takes to render the globe so that a user does not get shown a blank space as the globe loads. My codebase snippets with relavant files for modification with new logic: GlobeComponent.jsx: import React, { useEffect, useState, useRef } from 'react';
import Globe from 'react-globe.gl';
import * as THREE from 'three';
import { useRouter } from 'next/router';
import countries from './files/globe-data-min.json';
import travelHistory from './files/my-flights.json';
import airportHistory from './files/my-airports.json';
const GlobeComponent = () => {
const [arcsData, setArcsData] = useState([]);
const router = useRouter();
const globeRef = useRef();
useEffect(() => {
// Check if the globe instance is loaded
if (globeRef && globeRef.current) {
const kenyaCoordinates = {
lat: 2.286389, // latitude for Nairobi, Kenya
lng: 18.82023 // longitude for Nairobi, Kenya
};
globeRef.current.pointOfView(kenyaCoordinates, 3000); // Animate the camera movement over 3000ms (3 seconds)
}
}, []);
useEffect(() => {
const handleRouteChange = () => {
// You could update state here to ensure fresh data is fetched when a route changes
setArcsData(travelHistory.flights);
};
router.events.on('routeChangeComplete', handleRouteChange);
// Fetch the initial data
setArcsData(travelHistory.flights);
return () => {
router.events.off('routeChangeComplete', handleRouteChange);
};
}, [router.events]);
return (
<Globe
ref={globeRef}
hexPolygonsData = { countries.features }
hexPolygonResolution = { 3}
hexPolygonMargin = {0.75}
hexPolygonAltitude = {0.01}
hexPolygonUseDots = {false}
enablePointerInteraction ={false}
showAtmosphere = { true}
atmosphereColor="#ffffff"
atmosphereAltitude = { 0.1}
backgroundColor="rgba(0, 0, 0, 0)"
globeImageUrl="//unpkg.com/three-globe/example/img/earth-dark.jpg"
hexPolygonColor = {(e) => {
return ["KEN", "CHN", "FRA", "ZAF", "JPN", "USA", "AUS", "CAN"].includes(e.properties.ISO_A3)
? "#9cff00"
: "rgba(255, 255, 255, 0.5)";
}}
width={1100}
height={1100}
arcsData={arcsData}
arcColor = {(e) => {
return e.status ? "#9cff00" : "#f13024";
}}
arcAltitude = {(e) => {
return e.arcAlt;
}}
arcStroke = {(e) => {
return e.status ? 0.5 : 0.3;
}}
arcDashLength = { 0.9}
arcDashGap = { 4}
arcDashAnimateTime = { 1000}
arcsTransitionDuration = { 1000}
arcDashInitialGap = {(e) => e.order * 1}
labelsData = { airportHistory.airports }
labelColor={() => "#ffffff"}
labelDotOrientation = {(e) => {
return e.text === "NGA" ? "top" : "right";
}}
labelDotRadius = { 0.35}
labelSize = {1.1}
labelText = {"city" }
labelResolution = { 6}
labelAltitude = { 0.07}
pointsData = { airportHistory.airports }
pointColor={() => "#ffffff"}
pointsMerge = { true}
pointAltitude = { 0.07}
pointRadius = { 0.10}
/>
);
};
export default GlobeComponent;
Transition.jsx: import { motion } from "framer-motion";
import { useState, useEffect } from "react";
import ParticlesContainer from "./ParticlesContainer";
const Transition = () => {
const [isLoaded, setIsLoaded] = useState(false);
const transitionVariants = {
initial: {
x: "100%",
width: "100%",
},
animate: {
x: "0%",
width: "0%",
},
exit: {
x: ["0%", "100%"],
width: ["0%", "100%"],
},
};
useEffect(() => {
const handleLoad = () => {
setIsLoaded(true);
}
window.addEventListener('load', handleLoad);
return () => {
window.removeEventListener('load', handleLoad);
};
}, []);
return (
<>
{!isLoaded && (
<motion.div
role="status"
className="fixed top-0 bottom-0 right-full w-screen h-screen z-30 bg-[#2e2257]"
variants={transitionVariants}
initial="initial"
animate="animate"
exit="exit"
transition={{ delay: 0.2, duration: 0.6, ease: "easeInOut" }}
aria-hidden
>
<motion.img
src="/logo.svg"
alt="Descriptive text"
style={{
position: 'absolute',
top: '50%',
left: '50%',
transform: 'translate(-50%, -50%)',
width: '500px',
height: '500px'
}}
/>
<ParticlesContainer />
</motion.div>
)}
<motion.div
role="status"
className="fixed top-0 bottom-0 right-full w-screen h-screen z-20 bg-[#3b2d71]"
variants={transitionVariants}
initial="initial"
animate="animate"
exit="exit"
transition={{ delay: 0.4, duration: 0.6, ease: "easeInOut" }}
aria-hidden
/>
<motion.div
role="status"
className="fixed top-0 bottom-0 right-full w-screen h-screen z-10 bg-[#4b3792]"
variants={transitionVariants}
initial="initial"
animate="animate"
exit="exit"
transition={{ delay: 0.6, duration: 0.6, ease: "easeInOut" }}
aria-hidden
/>
</>
);
};
export default Transition;
_app.jsx: import { AnimatePresence, motion } from "framer-motion";
import { useRouter } from "next/router";
import Layout from "../components/Layout";
import Transition from "../components/Transition";
import "../styles/globals.css";
<style>
@import url('https://fonts.googleapis.com/css2?family=Monda&family=Share+Tech&display=swap')
</style>
function MyApp({ Component, pageProps }) {
const router = useRouter();
return (
<Layout>
<AnimatePresence mode="wait">
<motion.div key={router.route} className="h-full">
<Transition />
<Component {...pageProps} />
</motion.div>
</AnimatePresence>
</Layout>
);
}
export default MyApp;
|
409259264518f2097bda8370237ca110
|
{
"intermediate": 0.3661511242389679,
"beginner": 0.3831920921802521,
"expert": 0.25065678358078003
}
|
39,774
|
I am making a c++ game engine, in my class Renderer I deal with colors, now with each part of the "Color": for example like this:
void SetDrawColor(Uint8 r, Uint8 g, Uint8 b, Uint8 a);
Should I use an struct Color instead? What are the pro's and con's to use an struct compared to what I already have? Should I make the switch?
|
79958915c0b387aee6574be6b27a7545
|
{
"intermediate": 0.5949670672416687,
"beginner": 0.2960756719112396,
"expert": 0.10895726084709167
}
|
39,775
|
User
I need a script for IQ Option to display indicators on the candles when the following conditions are met on a Stochastic Oscillator with settings K-Period of 7, D-Period of 8 and a smoothness of 1:
1. UP indicator when d-period is above k-period, and both is above 50%
2. DOWN indicator when k-period is above d-period, and both is above 50%
3. UP indicator when k-period is above d-period, and both is below 50%
4. DOWN indicator when d-period is above k-period, and both is below 50%
5. UP indicator when d-period is above 50% and k-period is below 50%
6. DOWN indicator when k-period is above 50% and d-period is below 50%
|
b9314f67dd03df94df67c18a78dbcb71
|
{
"intermediate": 0.4173252284526825,
"beginner": 0.2437552809715271,
"expert": 0.3389195501804352
}
|
39,776
|
Create a system for a a strategy game, this system will handle how to send the builders to construct buildings
* Its name will be BuilderManager
* When a building is created, it will call the builder manager and the building will be added to the queue
* When a Builder is created it will call the builder manager ant he will be marked as an available builder to be handled by the builder manager
* When there is a building pending to be build and there is a builder available it will call a corountine to wait a time and fill the health bar and the builder will be marked as busy
* When it is night time if the bulding is being constructed it is paused and the builder will go to his house
* The script knows if there is day or night with these subscriptions
GameManager.Instance.OnDayStart += DayAction;
GameManager.Instance.OnNightStart += NightAction;
* If a building is destroyed it will be marked as destroyed in a queue, the building will notify the builder manager if this happens
* If it is day the manager will check if there are buildings destroyed, the builders will go out of its house and the builder manager will prioritize the buildings destroyed before the new ones
|
67fe70e03f60e571a4215dfaf6b64289
|
{
"intermediate": 0.37698519229888916,
"beginner": 0.35076767206192017,
"expert": 0.2722471356391907
}
|
39,777
|
Cn you provide me css and html code to create a stunning profile card
|
1e770e67e9c1e025351d0d6c507c5668
|
{
"intermediate": 0.3445377051830292,
"beginner": 0.2995795011520386,
"expert": 0.35588279366493225
}
|
39,778
|
I am making a c++ game engine based on SDL, in my class Renderer I want to add an enum class BlendMode which will map internally to SDL blend modes. Help me do it and how would I use it in the SDL renderer methods?
This is what I have so far:
enum class BlendMode {
None,
Blend,
Add,
Mod
// Map these to SDL’s blend modes internally
};
|
1953848856aca61e5692c7bf4cc3a7de
|
{
"intermediate": 0.40872618556022644,
"beginner": 0.3922320604324341,
"expert": 0.1990417093038559
}
|
39,779
|
Python.
I need to remove many spaces like ` ` from string.
|
cbe8cce4ca7371d00f025b6316e23192
|
{
"intermediate": 0.41851991415023804,
"beginner": 0.31788063049316406,
"expert": 0.2635994851589203
}
|
39,780
|
If I have a coding convention that states each return has to be following a white line like this:
method ()
{
//do something
return something;
}
If I follow this, does this means I have to do the same for throw?
|
7081b7c6cc5af69034a594c3d4e23f6d
|
{
"intermediate": 0.35820382833480835,
"beginner": 0.4678768813610077,
"expert": 0.17391926050186157
}
|
39,781
|
I need a script for IQ Option to display indicators on the candles when the following conditions are met on a Stochastic Oscillator with settings K-Period of 7, D-Period of 8 and a smoothness of 1:
1. UP indicator when d-period is above k-period, and both is above 50%
2. DOWN indicator when k-period is above d-period, and both is above 50%
3. UP indicator when k-period is above d-period, and both is below 50%
4. DOWN indicator when d-period is above k-period, and both is below 50%
5. UP indicator when d-period is above 50% and k-period is below 50%
6. DOWN indicator when k-period is above 50% and d-period is below 50%
|
4c7a20282d84d4733be296b581a08a39
|
{
"intermediate": 0.3608291447162628,
"beginner": 0.20379343628883362,
"expert": 0.43537741899490356
}
|
39,782
|
i have this program this is basically the "concentration" game. i added a function that loops through, revealing each card in the game briefly, but i cannot play the game now. i'd like to keep this functionality where the program briefly revels each card but be able to click on any card to reveal it and make matches (while keeping any matches i make as permanently revealed)
import pygame
import random
import os
# Initialize Pygame
pygame.init()
# Constants
WIDTH, HEIGHT = 900, 750
GRID_SIZE = (8, 13)
CARD_WIDTH, CARD_HEIGHT = WIDTH // GRID_SIZE[1], HEIGHT // GRID_SIZE[0]
last_flip_time = 0 # To keep track of the time of the last flip
# Load images and create a deck
card_images = {}
for i in range(1, 53):
image_path = os.path.join('/home/mike/Valut/Vault/STEM/Coding/Python/concentration/cards', f'card_{i}.png')
img = pygame.image.load(image_path)
img = pygame.transform.scale(img, (CARD_WIDTH, CARD_HEIGHT))
card_images[i] = img
# Create the game board
def create_board():
board = []
card_values = list(range(1, 53))
random.shuffle(card_values)
selected_cards = random.sample(card_values, 52) * 2 # Select 9 unique cards and duplicate to create pairs
random.shuffle(selected_cards)
for row in range(GRID_SIZE[0]):
board.append([])
for col in range(GRID_SIZE[1]):
board[row].append(selected_cards.pop())
return board
# Draw the cards on the screen
def draw_board(screen, board, revealed):
for row in range(GRID_SIZE[0]):
for col in range(GRID_SIZE[1]):
x, y = col * CARD_WIDTH, row * CARD_HEIGHT
card_value = board[row][col]
if revealed[row][col]:
screen.blit(card_images[card_value], (x, y))
else:
# Add a border or background color to unrevealed cards
pygame.draw.rect(screen, (100, 100, 100), (x, y, CARD_WIDTH, CARD_HEIGHT))
pygame.draw.rect(screen, (0, 0, 0), (x, y, CARD_WIDTH, CARD_HEIGHT), 2) # Border
def auto_play(screen, board, revealed):
for row in range(GRID_SIZE[0]):
for col in range(GRID_SIZE[1]):
revealed[row][col] = True
draw_board(screen, board, revealed)
pygame.display.flip()
pygame.time.wait(500) # Adjust this delay as needed
revealed[row][col] = False
draw_board(screen, board, revealed)
pygame.display.flip()
pygame.time.wait(500) # Adjust this delay as needed
# Main game loop
def main():
screen = pygame.display.set_mode((WIDTH, HEIGHT))
pygame.display.set_caption('Concentration Game')
clock = pygame.time.Clock()
running = True
board = create_board()
revealed = [[False] * GRID_SIZE[1] for _ in range(GRID_SIZE[0])]
selected_cards = []
selected_values = [] # To keep track of the selected card values
reset_game = False
last_flip_time = 0
while running:
screen.fill((0, 0, 0))
auto_play(screen, board, revealed) # Call the auto_play function
for event in pygame.event.get():
if event.type == pygame.QUIT:
running = False
elif event.type == pygame.MOUSEBUTTONDOWN:
row = event.pos[1] // CARD_HEIGHT
col = event.pos[0] // CARD_WIDTH
if not revealed[row][col]:
revealed[row][col] = True
selected_cards.append((row, col))
selected_values.append(board[row][col])
if len(selected_cards) == 2:
row1, col1 = selected_cards[0]
row2, col2 = selected_cards[1]
# Display the second card briefly before checking for the match
draw_board(screen, board, revealed)
pygame.display.flip()
pygame.time.wait(500) # Adjust this delay as needed
if selected_values[0] == selected_values[1]:
# Matched, keep cards revealed
selected_cards = []
selected_values = []
else:
# Not matched, flip back unmatched cards after a short delay
revealed[row1][col1] = False
revealed[row2][col2] = False
selected_cards = []
selected_values = []
# Update the last flip time to avoid immediate flipping
last_flip_time = pygame.time.get_ticks()
elif event.type == pygame.KEYDOWN:
if event.key == pygame.K_r:
# Reset the game if "r" key is pressed
board = create_board()
revealed = [[False] * GRID_SIZE[1] for _ in range(GRID_SIZE[0])]
selected_cards = []
selected_values = []
reset_game = True
if not reset_game:
# Only continue the game logic if the game is not being reset
for row in range(GRID_SIZE[0]):
for col in range(GRID_SIZE[1]):
x, y = col * CARD_WIDTH, row * CARD_HEIGHT
card_value = board[row][col]
if revealed[row][col]:
screen.blit(card_images[card_value], (x, y))
else:
pygame.draw.rect(screen, (100, 100, 100), (x, y, CARD_WIDTH, CARD_HEIGHT))
pygame.draw.rect(screen, (0, 0, 0), (x, y, CARD_WIDTH, CARD_HEIGHT), 2) # Border
auto_play(screen, board, revealed) # Call the auto_play function
draw_board(screen, board, revealed)
pygame.display.flip()
clock.tick(60)
else:
# If the game is being reset, display a reset message or perform any other reset logic
reset_game = False
pygame.quit()
if __name__ == "__main__":
main()
if __name__ == "__main__":
main()
|
2cd825b614272cf90851a5713d5bf8e5
|
{
"intermediate": 0.3725084066390991,
"beginner": 0.4458707571029663,
"expert": 0.18162080645561218
}
|
39,783
|
#include <windows.h>
// buffer for saving original bytes
char originalBytes[5];
FARPROC hookedAddress;
// we will jump to after the hook has been installed
int __stdcall myFunc(LPCSTR lpCmdLine, UINT uCmdShow) {
// unhook the function: rewrite original bytes
WriteProcessMemory(GetCurrentProcess(), (LPVOID)hookedAddress, originalBytes, 5, NULL);
// return to the original function and modify the text
return WinExec("calc", uCmdShow);
}
// hooking logic
void setMySuperHook() {
HINSTANCE hLib;
VOID *myFuncAddress;
DWORD *rOffset;
DWORD src;
DWORD dst;
CHAR patch[5]= {0};
// get memory address of function MessageBoxA
hLib = LoadLibraryA("kernel32.dll");
hookedAddress = GetProcAddress(hLib, "WinExec");
// save the first 5 bytes into originalBytes (buffer)
ReadProcessMemory(GetCurrentProcess(), (LPCVOID) hookedAddress, originalBytes, 5, NULL);
// overwrite the first 5 bytes with a jump to myFunc
myFuncAddress = &myFunc;
// will jump from the next instruction (after our 5 byte jmp instruction)
src = (DWORD)hookedAddress + 5;
dst = (DWORD)myFuncAddress;
rOffset = (DWORD *)(dst-src);
// \xE9 - jump instruction
memcpy(patch, "\xE9", 1);
memcpy(patch + 1, &rOffset, 4);
WriteProcessMemory(GetCurrentProcess(), (LPVOID)hookedAddress, patch, 5, NULL);
}
int main() {
// call original
WinExec("notepad", SW_SHOWDEFAULT);
// install hook
setMySuperHook();
// call after install hook
WinExec("notepad", SW_SHOWDEFAULT);
} поправь данный код для x64 компиляции
|
c647cbcf2afe7a8642d1301447dc1dc0
|
{
"intermediate": 0.5006900429725647,
"beginner": 0.26187488436698914,
"expert": 0.23743508756160736
}
|
39,784
|
باستعمال لغة بايثون اكتب سكريبت احترافي يستخرج اخر الاحداث الرياضية الحصرية من صفحة هذا الموقع
https://www.footballwebpages.co.uk/vidiprinter
مع مراعاة السكريبت يطبع الحدث الجديد
استخدم مكتبة ريكوست وuseragent و fake headers و time
ساعطيك بعض تحليل الصفحة لعناصر اخر الاحداث
<td><a href="spanish-la-liga/league-table">The Spanish La Liga league table has now been updated</a></td>
<td><a href="match/2023-2024/spanish-la-liga/athletic-bilbao/girona/485037">Athletic Bilbao 3-2 Girona - Full-time</a></td>
|
18b4793d2e4b797a97458f3c8ebb8426
|
{
"intermediate": 0.3504158556461334,
"beginner": 0.3660258948802948,
"expert": 0.2835582494735718
}
|
39,785
|
Problem Set 1 [Benchmarking: inter - organizational comparisons] The Problem Sets 1 and 2 are based on the article
Grifell-Tatjé, E. and C.A.K Lovell (1996), “Deregulation and Productivity Decline: The Case of the Spanish Savings Banks,” European Economic Review 40, 1281-1303.
Motivation
The data in the Excel file is a real one and belongs to the Spanish savings banks in the period 1986 - 1991. Spain signed the accession to the European Union (EU) in June 1985 and it was effective since 1986. Therefore, we are analyzing the banking sector in the first years after Spain's entry into the EU. For the entry, the EU required the liberation of the financial sector, which had traditionally been heavily regulated. This requirement particularly affected the Spanish savings banks which were not allowed to offer their services outside their own geographical region. Savings banks concentrated on retail banking, providing checking, savings and loan services to individuals. They did little commercial business, and they conducted very few foreign exchange transactions, these activities being heavily concentrated in the private banking sector. By 1987, however, all interest rates and service charges were freed, and in 1989 savings banks finally were allowed to branch outside their geographic region. Additionally, investment requirements were gradually phased out during l989-1992. The l986-1991 period can be characterized as one in which the rules of the game changed quite dramatically in the Spanish banking sector. While a constantly changing environment caused operating problems for savings bank managements, it also created opportunities for growth. Particularly since 1989 two features have dominated the savings bank segment of the industry: rapid branching, much of it interregional, and consolidation through mergers and acquisitions.
Purpose
The main objective of this problem set, and the following one, is to analyze the impact on savings banks of Spain’s entry into the EU. To do this, these problem sets apply techniques of benchmark. The Problem Set 1 is based on inter - organizational comparisons and the Problem Set 2 on longitudinal – dynamic comparison. This problem set 1 asks about technical efficiency, super-efficiency and layers classification of savings banks. Problem set 2 reproduces the main aspects of the article “Deregulation and Productivity Decline: The Case of the Spanish Savings Banks,” which are based on longitudinal benchmark.
The variables: Outputs and Inputs
In the banking literature there is a lack of agreement in defining what a bank produces. A possibility is the value added approach. In this approach deposits are included among the outputs because they produce a very important share of bank value added. The outputs and inputs have been defined following this approach. The main reason for this preference is that input consumption has a closer relationship with the number of loans and deposits than with their value. We have adopted this point of view, but we do not have enough information to define all the inputs in terms of their quantities. Therefore, for two inputs we use their value. In these cases, these values must be deflated to a base period.
The data set defines three outputs and three inputs. The three basic outputs are: the number of loan accounts (OUT1), the number of checking accounts (OUT2), and the number of savings accounts (OUT3). We have defined three inputs: the number of employees (INP1), expenditure on materials (INP2), and direct expenditure on buildings plus accounting depreciation (INP3). The expenditures on materials and buildings have been deflated to 1986 prices, using the consumer price index.
As a direct consequence of the mergers and acquisitions, the number of savings banks in operation decreased sharply during this period, from 77 in 1986 to 56 in 1991. Some of these mergers involved more than two savings banks. Over the entire period there have occurred 15 mergers and acquisitions, 14 of them taking place in the years 1990 and 1991. The sample is the population in the years 1986, 1989 and 1991 and almost it in the years 1987 (76 out of 77), 1988 (75 out of 77) and 1990 (59 out of 64).
Questions:
Note: Questions are based on the assumption of a technology with constant returns to scale and output oriented technical efficiency.
1.- Calculate the output-oriented technical efficiency of these years (from 1986 to 1991) assuming constant returns to scale (CRS) and defining a contemporaneous technology, which the article calls “adjacent periods”.
2.- Identify the observations that are output-oriented technically efficient. List them. Is it possible to identify a group of always efficient savings banks?
3.- Reproduce the Table 3, on page 1292, of the article “Deregulation and Productivity Decline: The Case of the Spanish Savings Banks.”
4.- Rank the efficient savings banks from the best to the worst efficient for the years from 1986 to 1991. Is this ranking stable over time? Is it possible to identify one (or more) excellent savings bank(s) based on this super-efficiency ranking?
5.- We can also make a classification of the savings banks based on layers. How many layers can we define for each of the years? Is the number of layers the same?
6.- Now, pay attention to the observations. Are they in the same layer over time? Are they jumping? or Are they jumping erratically? Can we identify a pattern in any of them (ascending, descending, stable,..,)?
|
295539fe269b4b5fc0067c1ee797bd62
|
{
"intermediate": 0.3231223225593567,
"beginner": 0.3895419239997864,
"expert": 0.28733575344085693
}
|
39,786
|
Improve this code: <!DOCTYPE html>
<html lang="en">
<head>
<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.2.3/dist/css/bootstrap.min.css" rel="stylesheet" integrity="sha384-rbsA2VBKQhggwzxH7pPCaAqO46MgnOM80zW1RWuH61DGLwZJEdK2Kadq2F9CUG65" crossorigin="anonymous">
<script src="https://cdn.jsdelivr.net/npm/bootstrap@5.2.3/dist/js/bootstrap.bundle.min.js" integrity="sha384-kenU1KFdBIe4zVF0s0G1M5b4hcpxyD9F7jL+jjXkk+Q2h455rYXK/7HAuoJl+0I4" crossorigin="anonymous"></script>
<link href="styles.css" rel="stylesheet">
<title>My Webpage</title>
<link rel="icon" href="https://news.ycombinator.com/y18.svg">
</head>
<body>
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<nav class="navbar navbar-expand-lg" style="background-color: #ff4000">
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<a class="navbar-brand" href="#">Simon's Blog</a>
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<div class="blog"><br>
<h1>The Digital Odyssey </h1>
<h2>Journey through the Tech Terrain</h2>
<br>
<b> Hello there, fellow traveler!</b><p>I'm <PRESIDIO_ANONYMIZED_PERSON>, a curious explorer charting the vast and vibrant seas of technology. By day, I’m a software engineer stitching together code that, piece by piece, constructs the fabric of our digital reality. By night, I’m your humble host on this personal blog, The Digital Odyssey, where I share tales from the tech frontiers.</p>
<b>About The Blog</b>
<p>The Digital Odyssey is a reflection of my passion for all that beeps, blinks, and bytes. Here, you’ll witness the musings of a tech savant (and sometimes the rants of a caffeine-fueled coder) presented with a dash of personality and heaps of experience. Let’s embark on this journey together, through the realms of code, gadgets, and the continuously unfolding future that is technology.</p>
<b>What You’ll Discover Here</b>
<ul id="discover">
<li>Daily Adventures: Witness my day-to-day encounters with technology, from troubleshooting bugs to reveling in the thrill of a successful product launch.</li>
<li>Tech Tips & Tricks: Benefit from my expertise with an array of how-tos, from sharpening your programming skills to optimizing your home network.</li>
<li>Thought-Provoking Essays: Delve deeper as I ponder ethical dilemmas in AI development, the rise of quantum computing, or the implications of the latest data privacy regulations.</li>
<li>Gadget Chronicles: Join me as I unpack, review, and dissect the latest tech to hit the market. Will it earn a permanent spot on my desk or gather dust in the drawer?</li>
<li>Behind The Scenes: Get an insider’s look at the tech industry through candid stories and personal reflections on the trends shaping our digital existence.</li>
<li>A Slice of Life: Because technology is not just what I do, it’s intertwined with who I am. From conference escapades to the pages of my latest sci-fi read, you’ll get it all.</li>
</ul>
<b>Latest Musings</b>
<ul id="musings">
<li>Do Smartwatches Tick the Right Boxes? My Week Wrist-deep in Notifications</li>
<li>THackathon Chronicles: Sleepless Innovation or a Caffeine Conundrum?</li>
<li>The Art of Clean Code: A Brush with the Philosopher’s Codebase</li>
<li>Mars Rovers and Earthly Codes: Programming Lessons from Outer Space</li>
</ul>
<b>Let's Connect</b>
<p>While this odyssey is penned by a solitary scribe, the narrative enriches with every interaction. Comment on my posts, challenge my viewpoints, suggest topics, or share your tech experiences – I’m all ears! Don your social-media cap and follow me on my channels to keep the dialogue alive.</p>
<b>Tech Musings Delivered</b>
<p>Life is fast, tech is faster. Subscribe to my newsletter to keep pace with my weekly recount of tech tales and reflections. A concise dose of insight, delivered with the quirks only a true technologist can provide.</p>
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|
4dd15b2a15fea5d87ea3ad9ba333e78c
|
{
"intermediate": 0.29187074303627014,
"beginner": 0.5202322602272034,
"expert": 0.1878969818353653
}
|
39,787
|
Boosted -NOTEXTURESTREAMING fps?
|
4639e44e63b78857459700215e8db1a8
|
{
"intermediate": 0.3357219398021698,
"beginner": 0.23555758595466614,
"expert": 0.42872047424316406
}
|
39,788
|
import json
import re import sys
token_patterns = [
(r’#[^\n]‘, None),
(r’\s+‘, None),
(r’[‘, ‘LBRACKET’),
(r’]‘, ‘RBRACKET’),
(r’{‘, ‘LBRACE’),
(r’}‘, ‘RBRACE’),
(r’%{‘, ‘LMAPBRACE’),
(r’=>‘, ‘ARROW’),
(r’,‘, ‘COMMA’),
(r’(true|false)‘, ‘BOOLEAN’),
(r’(0|[1-9][0-9_])‘, ‘INTEGER’),
(r’:[A-Za-z_]\w*‘, ‘ATOM’),
(r’[A-Za-z_]\w*‘, ‘KEY’),
(r’:‘, ‘COLON’),
]
regex_parts = [f’(?P<{name}>{pattern})’ if name else f’(?:{pattern})’ for pattern, name in token_patterns]
token_regex = ‘|’.join(regex_parts)
token_re = re.compile(token_regex)
class TokenizerException(Exception): pass
class ParserException(Exception): pass
def tokenize(text):
pos = 0
while pos < len(text):
match = token_re.match(text, pos)
if not match:
raise TokenizerException(f’Illegal character {text[pos]!r} at index {pos}‘)
pos = match.end()
if match.lastgroup:
yield match.lastgroup, match.group(match.lastgroup)
def make_hashable(value):
“”“Recursively converts JSON-like objects to an immutable and hashable type.”“”
if isinstance(value, list):
return tuple(make_hashable(x) for x in value)
elif isinstance(value, dict):
return tuple((make_hashable(k), make_hashable(v)) for k, v in value.items())
else:
return value # Integers, strings, booleans, and None are already hashable
class Node:
def init(self, kind, value):
self.kind = kind
self.value = value
def to_json(self):
if self.kind == “map”:
# Corrected conditional to account for empty maps
if not self.value: # self.value is empty
return {“%k”: self.kind, “%v”: {}} # Return an empty dictionary instead of an empty list
return {“%k”: self.kind, “%v”: {k.to_json()[“%v”]: v.to_json() for k, v in self.value}}
elif self.kind == “list”:
return {“%k”: self.kind, “%v”: [item.to_json() for item in self.value]}
else:
return {“%k”: self.kind, “%v”: self.value}
class Parser:
def init(self, tokens):
self.tokens = iter(tokens)
self.current_token = None
self.next_token()
def next_token(self):
try:
self.current_token = next(self.tokens)
except StopIteration:
self.current_token = None
def parse(self):
result = self.parse_sentence()
if self.current_token is not None:
raise ParserException(‘Unexpected token at the end’)
return result
def parse_sentence(self):
nodes = []
while self.current_token is not None:
node = self.parse_data_literal()
nodes.append(node)
if self.current_token and self.current_token[0] in {‘COMMA’, ‘COLON’, ‘ARROW’}:
self.next_token()
return nodes
def parse_data_literal(self):
if self.current_token[0] == ‘LBRACKET’:
return self.parse_list()
elif self.current_token[0] == ‘LBRACE’:
return self.parse_tuple()
elif self.current_token[0] == ‘LMAPBRACE’:
return self.parse_map()
elif self.current_token[0] == ‘INTEGER’:
value = int(self.current_token[1])
self.next_token()
return Node(‘int’, value)
elif self.current_token[0] == ‘ATOM’:
value = self.current_token[1]
self.next_token()
return Node(‘atom’, value)
elif self.current_token[0] == ‘BOOLEAN’:
value = self.current_token[1] == ‘true’
self.next_token()
return Node(‘bool’, value)
elif self.current_token[0] == ‘KEY’:
value = self.current_token[1]
self.next_token()
if self.current_token and self.current_token[0] == ‘COLON’:
self.next_token()
return Node(‘key’, value)
return Node(‘string’, value)
else:
raise ParserException(f’Unexpected token {self.current_token[1]}’)
def parse_list(self):
self.next_token()
items = []
while self.current_token and self.current_token[0] != ‘RBRACKET’:
item = self.parse_data_literal()
items.append(item)
if self.current_token and self.current_token[0] == ‘COMMA’:
self.next_token()
if not self.current_token or self.current_token[0] != ‘RBRACKET’:
raise ParserException(‘List not properly terminated with ]’)
self.next_token()
return Node(‘list’, items)
def parse_tuple(self):
items = []
self.next_token()
while self.current_token is not None and self.current_token[0] != ‘RBRACE’:
items.append(self.parse_data_literal())
if self.current_token and self.current_token[0] == ‘COMMA’:
self.next_token()
if self.current_token is None or self.current_token[0] != ‘RBRACE’:
raise ParserException(‘Tuple not properly terminated with }’)
self.next_token()
return Node(‘tuple’, [item.to_json() for item in items])
def parse_map(self):
self.next_token() # Skip the LMAPBRACE
map_items = {}
while self.current_token and self.current_token[0] != ‘RBRACE’:
key = self.parse_data_literal() # Parses the key
if self.current_token and self.current_token[0] not in {‘ARROW’, ‘COLON’}:
raise ParserException(f’Expected “=>” or “:”, found {self.current_token}‘)
self.next_token() # Skip the ARROW or COLON
value = self.parse_data_literal() # Parses the value associated with the key
# Serialize and then parse the key Node to get a hashable dict key
json_key = json.dumps(key.to_json(), separators=(’,‘, ‘:’))
json_key = json.loads(json_key)
# Convert JSON objects to immutable, hashable tuples
hashable_key = make_hashable(json_key)
map_items[hashable_key] = value.to_json()
if self.current_token and self.current_token[0] == ‘COMMA’:
self.next_token() # Skip the COMMA
if not self.current_token or self.current_token[0] != ‘RBRACE’:
raise ParserException(‘Map not properly terminated with “}”’)
self.next_token() # Skip the RBRACE
return Node(‘map’, map_items)
def main():
try:
text = sys.stdin.read()
tokens = list(tokenize(text))
if not tokens:
print(json.dumps([]))
else:
parser = Parser(tokens)
result = parser.parse()
json_output = json.dumps([node.to_json() for node in result], separators=(’,', ‘:’))
print(json_output)
except TokenizerException as e:
sys.stderr.write(str(e) + ‘\n’)
except ParserException as e:
sys.stderr.write(str(e) + ‘\n’)
if name == ‘main’:
main()
Standard Error
Expected “=>” or “:”, found (‘LBRACKET’, ‘[’)
diff compound-data
— /autograder/source/test-files/50-compound-data.out 2024-01-31 14:31:45.000000000 +0000
+++ tmp/50-compound-data.test 2024-02-19 17:16:11.429490265 +0000
@@ -1,203 +0,0 @@
-[
input is %{ [:a, 22] => { [1, 2, 3], :x },
x: [99, %{ a: 33 }]
}
{ [1, 2], {:a, 22}, %{ a: 99, :b => 11} }
[ {1, 2}, %{[:x] => 33, b: 44}, :c, [], [:d, 55] ] and the output should be [
{
"%k": "map",
"%v": [
[
{
"%k": "list",
"%v": [
{
"%k": "atom",
"%v": ":a"
},
{
"%k": "int",
"%v": 22
}
]
},
{
"%k": "tuple",
"%v": [
{
"%k": "list",
"%v": [
{
"%k": "int",
"%v": 1
},
{
"%k": "int",
"%v": 2
},
{
"%k": "int",
"%v": 3
}
]
},
{
"%k": "atom",
"%v": ":x"
}
]
}
],
[
{
"%k": "atom",
"%v": ":x"
},
{
"%k": "list",
"%v": [
{
"%k": "int",
"%v": 99
},
{
"%k": "map",
"%v": [
[
{
"%k": "atom",
"%v": ":a"
},
{
"%k": "int",
"%v": 33
}
]
]
}
]
}
]
]
},
{
"%k": "tuple",
"%v": [
{
"%k": "list",
"%v": [
{
"%k": "int",
"%v": 1
},
{
"%k": "int",
"%v": 2
}
]
},
{
"%k": "tuple",
"%v": [
{
"%k": "atom",
"%v": ":a"
},
{
"%k": "int",
"%v": 22
}
]
},
{
"%k": "map",
"%v": [
[
{
"%k": "atom",
"%v": ":a"
},
{
"%k": "int",
"%v": 99
}
],
[
{
"%k": "atom",
"%v": ":b"
},
{
"%k": "int",
"%v": 11
}
]
]
}
]
},
{
"%k": "list",
"%v": [
{
"%k": "tuple",
"%v": [
{
"%k": "int",
"%v": 1
},
{
"%k": "int",
"%v": 2
}
]
},
{
"%k": "map",
"%v": [
[
{
"%k": "list",
"%v": [
{
"%k": "atom",
"%v": ":x"
}
]
},
{
"%k": "int",
"%v": 33
}
],
[
{
"%k": "atom",
"%v": ":b"
},
{
"%k": "int",
"%v": 44
}
]
]
},
{
"%k": "atom",
"%v": ":c"
},
{
"%k": "list",
"%v": []
},
{
"%k": "list",
"%v": [
{
"%k": "atom",
"%v": ":d"
},
{
"%k": "int",
"%v": 55
}
]
}
]
}
] fix the error
|
5d73607bee0387181d7eac438435da1a
|
{
"intermediate": 0.3816087245941162,
"beginner": 0.4331687390804291,
"expert": 0.1852225661277771
}
|
39,789
|
My program is import json
import re
import sys
token_patterns = [
(r'#[^\n]*', None),
(r'\s+', None),
(r'\[', 'LBRACKET'),
(r'\]', 'RBRACKET'),
(r'{', 'LBRACE'),
(r'}', 'RBRACE'),
(r'%{', 'LMAPBRACE'),
(r'=>', 'ARROW'),
(r',', 'COMMA'),
(r'(true|false)', 'BOOLEAN'),
(r'(0|[1-9][0-9_]*)', 'INTEGER'),
(r':[A-Za-z_]\w*', 'ATOM'),
(r'[A-Za-z_]\w*', 'KEY'),
(r':', 'COLON'),
]
regex_parts = [f'(?P<{name}>{pattern})' if name else f'(?:{pattern})' for pattern, name in token_patterns]
token_regex = '|'.join(regex_parts)
token_re = re.compile(token_regex)
class TokenizerException(Exception): pass
class ParserException(Exception): pass
def tokenize(text):
pos = 0
while pos < len(text):
match = token_re.match(text, pos)
if not match:
raise TokenizerException(f'Illegal character {text[pos]!r} at index {pos}')
pos = match.end()
if match.lastgroup:
yield match.lastgroup, match.group(match.lastgroup)
def make_hashable(value):
"""Recursively converts JSON-like objects to an immutable and hashable type."""
if isinstance(value, list):
return tuple(make_hashable(x) for x in value)
elif isinstance(value, dict):
return tuple((make_hashable(k), make_hashable(v)) for k, v in value.items())
else:
return value # Integers, strings, booleans, and None are already hashable
class Node:
def __init__(self, kind, value):
self.kind = kind
self.value = value
def to_json(self):
if self.kind == "map":
# Corrected conditional to account for empty maps
if not self.value: # self.value is empty
return {"%k": self.kind, "%v": {}} # Return an empty dictionary instead of an empty list
return {"%k": self.kind, "%v": {k.to_json()["%v"]: v.to_json() for k, v in self.value}}
elif self.kind == "list":
return {"%k": self.kind, "%v": [item.to_json() for item in self.value]}
else:
return {"%k": self.kind, "%v": self.value}
class Parser:
def __init__(self, tokens):
self.tokens = iter(tokens)
self.current_token = None
self.next_token()
def next_token(self):
try:
self.current_token = next(self.tokens)
except StopIteration:
self.current_token = None
def parse(self):
result = self.parse_sentence()
if self.current_token is not None:
raise ParserException('Unexpected token at the end')
return result
def parse_sentence(self):
nodes = []
while self.current_token is not None:
node = self.parse_data_literal()
nodes.append(node)
if self.current_token and self.current_token[0] in {'COMMA', 'COLON', 'ARROW'}:
self.next_token()
return nodes
def parse_data_literal(self):
# Parse the correct type based on the current token
if not self.current_token:
raise ParserException("Unexpected end of input")
token_type, token_value = self.current_token
if token_type == 'LBRACKET':
return self.parse_list()
elif token_type == 'LBRACE':
return self.parse_tuple()
elif token_type == 'LMAPBRACE':
return self.parse_map()
elif token_type == 'INTEGER':
self.next_token() # Move to the next token after parsing
return Node('int', int(token_value)) # Convert string to integer
elif token_type == 'ATOM':
self.next_token()
return Node('atom', token_value)
elif token_type == 'BOOLEAN':
self.next_token()
# Convert string 'true' or 'false' to a boolean
return Node('bool', token_value == 'true')
elif token_type == 'KEY':
self.next_token()
return Node('key', token_value)
else:
raise ParserException(f"Unexpected token type {token_type}")
def parse_list(self):
self.next_token()
items = []
while self.current_token and self.current_token[0] != 'RBRACKET':
item = self.parse_data_literal()
items.append(item)
if self.current_token and self.current_token[0] == 'COMMA':
self.next_token()
if not self.current_token or self.current_token[0] != 'RBRACKET':
raise ParserException('List not properly terminated with ]')
self.next_token() # Consume 'RBRACKET'
return Node('list', items)
def parse_tuple(self):
items = []
self.next_token()
while self.current_token is not None and self.current_token[0] != 'RBRACE':
items.append(self.parse_data_literal())
if self.current_token and self.current_token[0] == 'COMMA':
self.next_token()
if self.current_token is None or self.current_token[0] != 'RBRACE':
raise ParserException('Tuple not properly terminated with }')
self.next_token()
return Node('tuple', [item.to_json() for item in items])
def parse_map(self):
self.next_token() # Skip 'LMAPBRACE'
map_items = []
while self.current_token and self.current_token[0] != 'RBRACE':
key = self.parse_data_literal()
if self.current_token[0] not in ['ARROW', 'COLON']:
raise ParserException(f"Expected '=>' or ':', found {self.current_token} instead")
self.next_token() # Skip 'ARROW' or 'COLON'
value = self.parse_data_literal()
# Serialize your key to a format that can be used in a JSON dictionary
# This can be a string representation or a nested structure
map_items[str(key)] = value
if self.current_token and self.current_token[0] == 'COMMA':
self.next_token()
if not self.current_token or self.current_token[0] != 'RBRACE':
raise ParserException('Map not properly terminated with "}"')
self.next_token() # Skip 'RBRACE'
return Node('map', map_items)
def main():
try:
text = sys.stdin.read()
tokens = list(tokenize(text))
if not tokens:
print(json.dumps([]))
else:
parser = Parser(tokens)
result = parser.parse()
json_output = json.dumps([node.to_json() for node in result], separators=(',', ':'))
print(json_output)
except TokenizerException as e:
sys.stderr.write(str(e) + '\n')
except ParserException as e:
sys.stderr.write(str(e) + '\n')
if __name__ == '__main__':
main()
which is failing many test cases and the ideal program that passes all the test cases is #!/usr/bin/env python3
import re
import sys
from collections import namedtuple
import json
'''
dataItems
: dataItem*
;
dataItem
: list
| tuple
| map
| primitive
;
primitive
: INT
| ATOM
| BOOL
;
list
: '[' dataItem (',' dataItem)* ']'
| '[' ']'
;
tuple
: '{' dataItem (',' dataItem)* '}'
| '{' '}'
;
map
: '%{' keyPair (',' keyPair)* '}'
| '%{' '}'
;
keyPair
: dataItem '=>' dataItem
| KEY dataItem
;
'''
################################# Parser ################################
def parse(text):
toks = tokenize(text)
toksIndex = 0
tok = toks[toksIndex]
toksIndex += 1
def peek(kind):
nonlocal tok
return tok.kind == kind
def consume(kind):
nonlocal tok, toks, toksIndex
if (peek(kind)):
tok = toks[toksIndex]
toksIndex += 1
else:
error(kind, text)
def error(kind, text):
nonlocal tok
pos = tok.pos
if pos >= len(text) or text[pos] == '\n': pos -= 1
lineBegin = text.rfind('\n', 0, pos)
if lineBegin < 0: lineBegin = 0
lineEnd = text.find('\n', pos)
if lineEnd < 0: lineEnd = len(text)
line = text[lineBegin:lineEnd]
print(f"error: expecting '{kind}' but got '{tok.kind}'",
file=sys.stderr)
print(line, file=sys.stderr)
nSpace = pos - lineBegin if pos >= lineBegin else 0
print('^'.rjust(nSpace+1), file=sys.stderr)
sys.exit(1)
def data_items():
items = [];
while is_item_start():
items.append(data_item());
return items
def data_item():
if peek('['):
return list();
elif peek('{'):
return tuple();
elif peek('%{'):
return map();
else:
return primitive();
def list():
items = []
consume('[')
if is_item_start():
items.append(data_item());
while peek(','):
consume(',')
items.append(data_item())
consume(']');
return { '%k': 'list', '%v': items };
def tuple():
items = []
consume('{')
if is_item_start():
items.append(data_item());
while peek(','):
consume(',')
items.append(data_item())
consume('}');
return { '%k': 'tuple', '%v': items };
def map():
pairs = []
consume('%{')
if is_item_start() or peek('KEY'):
pairs.append(keyValue());
while peek(','):
consume(',')
pairs.append(keyValue())
consume('}');
return { '%k': 'map', '%v': pairs };
def primitive():
if peek('INT'):
v = int(tok.lexeme.replace('_', ''));
consume('INT');
return { '%k': 'int', '%v': v };
elif peek('ATOM'):
v = tok.lexeme;
consume('ATOM');
return { '%k': 'atom', '%v': v };
else:
v = tok.lexeme == 'true';
consume('BOOL');
return { '%k': 'bool', '%v': v };
def keyValue():
key = '';
if peek('KEY'):
atom = ':' + tok.lexeme[0:-1];
consume('KEY');
key = { '%k': 'atom', '%v': atom };
else:
key = data_item();
consume('=>');
value = data_item();
return [ key, value ];
def is_item_start():
return peek('ATOM') or peek('INT') or peek('BOOL') or \
peek('[') or peek('{') or peek('%{');
items = data_items()
if tok.kind != 'EOF': error('EOF', text)
return items
################################# Lexer #################################
SKIP_RE = re.compile(r'(\s+|\#.*)+')
INT_RE = re.compile(r'\d(\_?\d+)*')
ATOM_RE = re.compile(r'\:[_a-zA-Z]\w*')
KEY_RE = re.compile(r'[_a-zA-Z]\w*\:')
BOOL_RE = re.compile(r'\b(true|false)\b')
ARROW_RE = re.compile(r'\=\>')
FANCY_LBRACE_RE = re.compile(r'\%\{')
Token = namedtuple('Token', 'kind lexeme pos')
def tokenize(text, pos=0):
toks = []
while pos < len(text):
m = SKIP_RE.match(text, pos)
if m:
pos += len(m.group())
if pos >= len(text): break
if m := INT_RE.match(text, pos):
tok = Token('INT', m.group(), pos)
elif m := ATOM_RE.match(text, pos):
tok = Token('ATOM', m.group(), pos)
elif m := KEY_RE.match(text, pos):
tok = Token('KEY', m.group(), pos)
elif m := BOOL_RE.match(text, pos):
tok = Token('BOOL', m.group(), pos)
elif m := ARROW_RE.match(text, pos):
tok = Token('=>', m.group(), pos)
elif m := FANCY_LBRACE_RE.match(text, pos):
tok = Token('%{', m.group(), pos)
else:
tok = Token(text[pos], text[pos], pos)
pos += len(tok.lexeme)
toks.append(tok)
toks.append(Token('EOF', '<EOF>', pos))
return toks
################################## Main #################################
def main():
text = sys.stdin.read()
#print(tokenize(text))
result = parse(text)
print(json.dumps(result, separators=(',', ':'))) #no whitespace
if __name__ == "__main__":
main() Make changes to my program so that it can also pass the test cases. take the reference from the ideal program and make necessary changes to my program.
|
cc1bf612b2086f3a185a699d4c62c7cf
|
{
"intermediate": 0.37730956077575684,
"beginner": 0.48474037647247314,
"expert": 0.1379500776529312
}
|
39,790
|
count unique colors using PIL python
|
ca9d29010997cf4909aa3d075fecf905
|
{
"intermediate": 0.43313443660736084,
"beginner": 0.20690026879310608,
"expert": 0.35996532440185547
}
|
39,791
|
find text on html page using selenium python
|
6b76a5e047efd57477c4d3a27798e73d
|
{
"intermediate": 0.2977549135684967,
"beginner": 0.26480284333229065,
"expert": 0.43744227290153503
}
|
39,792
|
My program is import json
import re
import sys
token_patterns = [
(r’#[^\n]‘, None),
(r’\s+‘, None),
(r’[‘, ‘LBRACKET’),
(r’]‘, ‘RBRACKET’),
(r’{‘, ‘LBRACE’),
(r’}‘, ‘RBRACE’),
(r’%{‘, ‘LMAPBRACE’),
(r’=>‘, ‘ARROW’),
(r’,‘, ‘COMMA’),
(r’(true|false)‘, ‘BOOLEAN’),
(r’(0|[1-9][0-9_])‘, ‘INTEGER’),
(r’:[A-Za-z_]\w*‘, ‘ATOM’),
(r’[A-Za-z_]\w*‘, ‘KEY’),
(r’:‘, ‘COLON’),
]
regex_parts = [f’(?P<{name}>{pattern})’ if name else f’(?:{pattern})’ for pattern, name in token_patterns]
token_regex = ‘|’.join(regex_parts)
token_re = re.compile(token_regex)
class TokenizerException(Exception): pass
class ParserException(Exception): pass
def tokenize(text):
pos = 0
while pos < len(text):
match = token_re.match(text, pos)
if not match:
raise TokenizerException(f’Illegal character {text[pos]!r} at index {pos}‘)
pos = match.end()
if match.lastgroup:
yield match.lastgroup, match.group(match.lastgroup)
def make_hashable(value):
“”“Recursively converts JSON-like objects to an immutable and hashable type.”“”
if isinstance(value, list):
return tuple(make_hashable(x) for x in value)
elif isinstance(value, dict):
return tuple((make_hashable(k), make_hashable(v)) for k, v in value.items())
else:
return value # Integers, strings, booleans, and None are already hashable
class Node:
def init(self, kind, value):
self.kind = kind
self.value = value
def to_json(self):
if self.kind == “map”:
# Corrected conditional to account for empty maps
if not self.value: # self.value is empty
return {“%k”: self.kind, “%v”: {}} # Return an empty dictionary instead of an empty list
return {“%k”: self.kind, “%v”: {k.to_json()[“%v”]: v.to_json() for k, v in self.value}}
elif self.kind == “list”:
return {“%k”: self.kind, “%v”: [item.to_json() for item in self.value]}
else:
return {“%k”: self.kind, “%v”: self.value}
class Parser:
def init(self, tokens):
self.tokens = iter(tokens)
self.current_token = None
self.next_token()
def next_token(self):
try:
self.current_token = next(self.tokens)
except StopIteration:
self.current_token = None
def parse(self):
result = self.parse_sentence()
if self.current_token is not None:
raise ParserException(‘Unexpected token at the end’)
return result
def parse_sentence(self):
nodes = []
while self.current_token is not None:
node = self.parse_data_literal()
nodes.append(node)
if self.current_token and self.current_token[0] in {‘COMMA’, ‘COLON’, ‘ARROW’}:
self.next_token()
return nodes
def parse_data_literal(self):
# Parse the correct type based on the current token
if not self.current_token:
raise ParserException(“Unexpected end of input”)
token_type, token_value = self.current_token
if token_type == ‘LBRACKET’:
return self.parse_list()
elif token_type == ‘LBRACE’:
return self.parse_tuple()
elif token_type == ‘LMAPBRACE’:
return self.parse_map()
elif token_type == ‘INTEGER’:
self.next_token() # Move to the next token after parsing
return Node(‘int’, int(token_value)) # Convert string to integer
elif token_type == ‘ATOM’:
self.next_token()
return Node(‘atom’, token_value)
elif token_type == ‘BOOLEAN’:
self.next_token()
# Convert string ‘true’ or ‘false’ to a boolean
return Node(‘bool’, token_value == ‘true’)
elif token_type == ‘KEY’:
self.next_token()
return Node(‘key’, token_value)
else:
raise ParserException(f"Unexpected token type {token_type}“)
def parse_list(self):
self.next_token()
items = []
while self.current_token and self.current_token[0] != ‘RBRACKET’:
item = self.parse_data_literal()
items.append(item)
if self.current_token and self.current_token[0] == ‘COMMA’:
self.next_token()
if not self.current_token or self.current_token[0] != ‘RBRACKET’:
raise ParserException(‘List not properly terminated with ]’)
self.next_token() # Consume ‘RBRACKET’
return Node(‘list’, items)
def parse_tuple(self):
items = []
self.next_token()
while self.current_token is not None and self.current_token[0] != ‘RBRACE’:
items.append(self.parse_data_literal())
if self.current_token and self.current_token[0] == ‘COMMA’:
self.next_token()
if self.current_token is None or self.current_token[0] != ‘RBRACE’:
raise ParserException(‘Tuple not properly terminated with }’)
self.next_token()
return Node(‘tuple’, [item.to_json() for item in items])
def parse_map(self):
self.next_token() # Skip ‘LMAPBRACE’
map_items = []
while self.current_token and self.current_token[0] != ‘RBRACE’:
key = self.parse_data_literal()
if self.current_token[0] not in [‘ARROW’, ‘COLON’]:
raise ParserException(f"Expected ‘=>’ or ‘:’, found {self.current_token} instead”)
self.next_token() # Skip ‘ARROW’ or ‘COLON’
value = self.parse_data_literal()
# Serialize your key to a format that can be used in a JSON dictionary
# This can be a string representation or a nested structure
map_items[str(key)] = value
if self.current_token and self.current_token[0] == ‘COMMA’:
self.next_token()
if not self.current_token or self.current_token[0] != ‘RBRACE’:
raise ParserException(‘Map not properly terminated with “}”’)
self.next_token() # Skip ‘RBRACE’
return Node(‘map’, map_items)
def main():
try:
text = sys.stdin.read()
tokens = list(tokenize(text))
if not tokens:
print(json.dumps([]))
else:
parser = Parser(tokens)
result = parser.parse()
json_output = json.dumps([node.to_json() for node in result], separators=(’,‘, ‘:’))
print(json_output)
except TokenizerException as e:
sys.stderr.write(str(e) + ‘\n’)
except ParserException as e:
sys.stderr.write(str(e) + ‘\n’)
if name == ‘main’:
main()
which is failing many test cases and the ideal program that passes all the test cases is #!/usr/bin/env python3
import re
import sys
from collections import namedtuple
import json
’‘’
dataItems
: dataItem*
;
dataItem
: list
| tuple
| map
| primitive
;
primitive
: INT
| ATOM
| BOOL
;
list
: ‘[’ dataItem (‘,’ dataItem)* ‘]’
| ‘[’ ‘]’
;
tuple
: ‘{’ dataItem (‘,’ dataItem)* ‘}’
| ‘{’ ‘}’
;
map
: ‘%{’ keyPair (‘,’ keyPair)* ‘}’
| ‘%{’ ‘}’
;
keyPair
: dataItem ‘=>’ dataItem
| KEY dataItem
;
‘’‘
################################# Parser ################################
def parse(text):
toks = tokenize(text)
toksIndex = 0
tok = toks[toksIndex]
toksIndex += 1
def peek(kind):
nonlocal tok
return tok.kind == kind
def consume(kind):
nonlocal tok, toks, toksIndex
if (peek(kind)):
tok = toks[toksIndex]
toksIndex += 1
else:
error(kind, text)
def error(kind, text):
nonlocal tok
pos = tok.pos
if pos >= len(text) or text[pos] == ‘\n’: pos -= 1
lineBegin = text.rfind(’\n’, 0, pos)
if lineBegin < 0: lineBegin = 0
lineEnd = text.find(‘\n’, pos)
if lineEnd < 0: lineEnd = len(text)
line = text[lineBegin:lineEnd]
print(f"error: expecting ‘{kind}’ but got ‘{tok.kind}’",
file=sys.stderr)
print(line, file=sys.stderr)
nSpace = pos - lineBegin if pos >= lineBegin else 0
print(‘^’.rjust(nSpace+1), file=sys.stderr)
sys.exit(1)
def data_items():
items = [];
while is_item_start():
items.append(data_item());
return items
def data_item():
if peek(‘[’):
return list();
elif peek(‘{’):
return tuple();
elif peek(‘%{’):
return map();
else:
return primitive();
def list():
items = []
consume(‘[’)
if is_item_start():
items.append(data_item());
while peek(‘,’):
consume(‘,’)
items.append(data_item())
consume(‘]’);
return { ‘%k’: ‘list’, ‘%v’: items };
def tuple():
items = []
consume(‘{’)
if is_item_start():
items.append(data_item());
while peek(‘,’):
consume(‘,’)
items.append(data_item())
consume(‘}’);
return { ‘%k’: ‘tuple’, ‘%v’: items };
def map():
pairs = []
consume(‘%{’)
if is_item_start() or peek(‘KEY’):
pairs.append(keyValue());
while peek(‘,’):
consume(‘,’)
pairs.append(keyValue())
consume(‘}’);
return { ‘%k’: ‘map’, ‘%v’: pairs };
def primitive():
if peek(‘INT’):
v = int(tok.lexeme.replace(‘_’, ‘’));
consume(‘INT’);
return { ‘%k’: ‘int’, ‘%v’: v };
elif peek(‘ATOM’):
v = tok.lexeme;
consume(‘ATOM’);
return { ‘%k’: ‘atom’, ‘%v’: v };
else:
v = tok.lexeme == ‘true’;
consume(‘BOOL’);
return { ‘%k’: ‘bool’, ‘%v’: v };
def keyValue():
key = ‘’;
if peek(‘KEY’):
atom = ‘:’ + tok.lexeme[0:-1];
consume(‘KEY’);
key = { ‘%k’: ‘atom’, ‘%v’: atom };
else:
key = data_item();
consume(‘=>’);
value = data_item();
return [ key, value ];
def is_item_start():
return peek(‘ATOM’) or peek(‘INT’) or peek(‘BOOL’) or <br/> peek(‘[’) or peek(‘{’) or peek(‘%{’);
items = data_items()
if tok.kind != ‘EOF’: error(‘EOF’, text)
return items
################################# Lexer #################################
SKIP_RE = re.compile(r’(\s+|#.)+‘)
INT_RE = re.compile(r’\d(_?\d+)‘)
ATOM_RE = re.compile(r’:[_a-zA-Z]\w*‘)
KEY_RE = re.compile(r’[_a-zA-Z]\w*:‘)
BOOL_RE = re.compile(r’\b(true|false)\b’)
ARROW_RE = re.compile(r’=>‘)
FANCY_LBRACE_RE = re.compile(r’%{‘)
Token = namedtuple(‘Token’, ‘kind lexeme pos’)
def tokenize(text, pos=0):
toks = []
while pos < len(text):
m = SKIP_RE.match(text, pos)
if m:
pos += len(m.group())
if pos >= len(text): break
if m := INT_RE.match(text, pos):
tok = Token(‘INT’, m.group(), pos)
elif m := ATOM_RE.match(text, pos):
tok = Token(‘ATOM’, m.group(), pos)
elif m := KEY_RE.match(text, pos):
tok = Token(‘KEY’, m.group(), pos)
elif m := BOOL_RE.match(text, pos):
tok = Token(‘BOOL’, m.group(), pos)
elif m := ARROW_RE.match(text, pos):
tok = Token(’=>‘, m.group(), pos)
elif m := FANCY_LBRACE_RE.match(text, pos):
tok = Token(’%{‘, m.group(), pos)
else:
tok = Token(text[pos], text[pos], pos)
pos += len(tok.lexeme)
toks.append(tok)
toks.append(Token(‘EOF’, ‘<EOF>’, pos))
return toks
################################## Main #################################
def main():
text = sys.stdin.read()
#print(tokenize(text))
result = parse(text)
print(json.dumps(result, separators=(’,', ‘:’))) #no whitespace
if name == “main”:
main() Make changes to my program so that it can also pass the test cases. take the reference from the ideal program and make necessary changes to my program.
rewrite the new program
|
4bf5142adf5d8e2e5db4d4d14b60c476
|
{
"intermediate": 0.3245949149131775,
"beginner": 0.5072067975997925,
"expert": 0.1681983470916748
}
|
39,793
|
hi
|
ef428bc3dfb77c308e335cccb4339c5b
|
{
"intermediate": 0.3246487081050873,
"beginner": 0.27135494351387024,
"expert": 0.40399640798568726
}
|
39,794
|
Complete this code: /*Test whether element is present.*/
public boolean contains(int item) (
Node pred, curr;
int key = item;
try t
lock.lock();
pred
head;
curr = pred.next;
while (curr.key L key)
pred
curr;
curr = curr.next;
A
return (key == curr. .key);
finally (
always unlock
lock.unlock();
public void display()
Node temp=head;
int i=0;
I
while(temp.next!=nul1&&i<10)/
System.out.print("It"+temp.key);
temp=temp.next;
i=i+1;
|
6834e15f8f99935454cbe9a8a3d87f2c
|
{
"intermediate": 0.3581274747848511,
"beginner": 0.46297889947891235,
"expert": 0.17889368534088135
}
|
39,795
|
This is the api document
1. Upload Transation https://www.plutuscloudserviceuat.in:8201/API/CloudBasedIntegration/V1/UploadBilledTransaction { "TransactionNumber":"${TxnNo}", "SequenceNumber": 1, "AllowedPaymentMode": "10", "MerchantStorePosCode": "${mspc}", "Amount": "${100}", "UserID": "", "MerchantID":${mid} , "SecurityToken": "${st}", "IMEI": "${IMEI}", "AutoCancelDurationInMinutes":5 } 2. Get status api.. https://www.plutuscloudserviceuat.in:8201/API/CloudBasedIntegration/V1/GetCloudBasedTxnStatus { "MerchantID":${mid}, "SecurityToken":"${st}", "IMEI":"${imei}", "MerchantStorePosCode":"${mspc}", "PlutusTransactionReferenceID":${PTRN} } 3. Cancel api.. https://www.plutuscloudserviceuat.in:8201/API/CloudBasedIntegration/V1/CancelTransaction { "MerchantID":${mid}, "SecurityToken":"${st}", "IMEI":"${imei}", "MerchantStorePosCode":"${storeposcode}", "PlutusTransactionReferenceID":${ptrn}, "Amount":${amt} }
This is my service class
public class PinelabsPayment implements Payment { private static final String UPLOAD_TRANSACTION_URL = "https://www.plutuscloudserviceuat.in:8201/API/CloudBasedIntegration/V1/UploadBilledTransaction"; private static final String GET_STATUS_URL = "https://www.plutuscloudserviceuat.in:8201/API/CloudBasedIntegration/V1/GetCloudBasedTxnStatus"; private static final String CANCEL_URL = "https://www.plutuscloudserviceuat.in:8201/API/CloudBasedIntegration/V1/CancelTransaction"; @Override public String initiatePayment(JSONObject paymentRequest) { try { URL url = new URL(UPLOAD_TRANSACTION_URL); HttpURLConnection conn = (HttpURLConnection) url.openConnection(); conn.setRequestMethod("POST"); conn.setRequestProperty("Content-Type", "application/json"); conn.setDoOutput(true); // Construct the request body OutputStreamWriter wr = new OutputStreamWriter(conn.getOutputStream()); wr.write(paymentRequest.toJSONString()); wr.flush(); // Read the response BufferedReader in = new BufferedReader(new InputStreamReader(conn.getInputStream())); StringBuilder response = new StringBuilder(); String line; while ((line = in.readLine()) != null) { response.append(line); } in.close(); // Parse the response JSON JSONParser parser = new JSONParser(); JSONObject jsonResponse = (JSONObject) parser.parse(response.toString()); // Process the response String responseMessage = jsonResponse.get("response_message").toString(); // Handle the response message accordingly return "Initiated payment with Pinelabs. Response: " + responseMessage; } catch (Exception e) { return "Error initiating payment with Pinelabs: " + e.getMessage(); } } @Override public String verifyPaymentStatus(String deviceID, String transactionID) { try { URL url = new URL(GET_STATUS_URL); HttpURLConnection conn = (HttpURLConnection) url.openConnection(); conn.setRequestMethod("POST"); conn.setRequestProperty("Content-Type", "application/json"); conn.setDoOutput(true); // Construct the request body JSONObject requestBody = new JSONObject(); // Add necessary parameters to the request body OutputStreamWriter wr = new OutputStreamWriter(conn.getOutputStream()); wr.write(requestBody.toJSONString()); wr.flush(); // Read the response BufferedReader in = new BufferedReader(new InputStreamReader(conn.getInputStream())); StringBuilder response = new StringBuilder(); String line; while ((line = in.readLine()) != null) { response.append(line); } in.close(); // Parse the response JSON JSONParser parser = new JSONParser(); JSONObject jsonResponse = (JSONObject) parser.parse(response.toString()); // Process the response String responseMessage = jsonResponse.get("response_message").toString(); // Handle the response message accordingly return "Verified payment status with Pinelabs. Response: " + responseMessage; } catch (Exception e) { return "Error verifying payment status with Pinelabs: " + e.getMessage(); } } @Override public String cancelPayment(String deviceID, String transactionID) { try { URL url = new URL(CANCEL_URL); HttpURLConnection conn = (HttpURLConnection) url.openConnection(); conn.setRequestMethod("POST"); conn.setRequestProperty("Content-Type", "application/json"); conn.setDoOutput(true); // Construct the request body JSONObject requestBody = new JSONObject(); // Add necessary parameters to the request body OutputStreamWriter wr = new OutputStreamWriter(conn.getOutputStream()); wr.write(requestBody.toJSONString()); wr.flush(); // Read the response BufferedReader in = new BufferedReader(new InputStreamReader(conn.getInputStream())); StringBuilder response = new StringBuilder(); String line; while ((line = in.readLine()) != null) { response.append(line); } in.close(); // Parse the response JSON JSONParser parser = new JSONParser(); JSONObject jsonResponse = (JSONObject) parser.parse(response.toString()); // Process the response String responseMessage = jsonResponse.get("response_message").toString(); // Handle the response message accordingly return "Cancelled payment with Pinelabs. Response: " + responseMessage; } catch (Exception e) { return "Error cancelling payment with Pinelabs: " + e.getMessage(); } } @Override public JSONObject getConfiguration() { // Implement Pinelabs-specific logic for retrieving configuration return new JSONObject(); } @Override public JSONObject preparePaymentRequest(HttpServletRequest request) throws ServletException { try { JSONObject requestBody = new JSONObject(); requestBody.put("TransactionNumber", request.getParameter("TxnNo")); requestBody.put("MerchantStorePosCode", request.getParameter("mspc")); requestBody.put("Amount", request.getParameter("amount")); requestBody.put("MerchantID", request.getParameter("mid")); requestBody.put("SecurityToken", request.getParameter("st")); requestBody.put("IMEI", request.getParameter("IMEI")); return requestBody; } catch (Exception ex) { throw new ServletException("Error preparing payment request for Pinelabs: " + ex.getMessage(), ex); } } }
Will this service works exactly and implemented correctly ?
|
b1ee17026e581568864e763d7b24cba7
|
{
"intermediate": 0.2570406198501587,
"beginner": 0.6220096349716187,
"expert": 0.12094973772764206
}
|
39,796
|
# General HTTP to HTTPS
server {
listen 80;
listen [::]:80;
server_name example.com default_server;
location / {
return 302 https://$host$request_uri;
}
}
server {
listen 443 ssl;
server_name example.com default_server;
root /var/www/example;
index index.html;
ssl_certificate /root/example.com.crt;
ssl_certificate_key /root/example.com.key;
ssl_protocols TLSv1 TLSv1.1 TLSv1.2;
ssl_prefer_server_ciphers on;
ssl_ciphers 'EECDH+AESGCM:EDH+AESGCM:AES256+EECDH:AES256+EDH';
location / {
try_files $uri $uri/ =404;
}
}
server {
listen 8877 ssl;
listen [::]:8877 ssl;
server_name example.com;
# Add index.php to the list if you are using PHP
index index.html index.htm index.nginx-debian.html;
ssl_certificate /root/example.com.crt;
ssl_certificate_key /root/example.com.key;
ssl_protocols TLSv1 TLSv1.1 TLSv1.2;
ssl_prefer_server_ciphers on;
ssl_ciphers 'EECDH+AESGCM:EDH+AESGCM:AES256+EECDH:AES256+EDH';
location / {
proxy_pass http://example.com:1111;
}
} 我在服务器上运行了 strapi cms 的启动程序 ，使用yarn develop 启动，端口 1337， 修改下 这个nginx 配置代码，让他支持 strapi 的https访问
|
88668d956a1515b008c684cc334f867f
|
{
"intermediate": 0.2854660749435425,
"beginner": 0.2608129382133484,
"expert": 0.45372095704078674
}
|
39,797
|
is this code correct: import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock;
public class CoarseList {
private Node head;
private Node tail;
private Lock lock = new ReentrantLock();
public CoarseList() {
head = new Node(Integer.MIN_VALUE); // Head Sentinel
tail = new Node(Integer.MAX_VALUE); // Tail Sentinel
head.next = tail;
}
private class Node {
int key;
Node next;
Node(int item) {
this.key = item;
this.next = null;
}
}
// Add an element
public boolean add(int item) {
Node pred, curr;
int key = item;
try {
lock.lock();
pred = head;
curr = pred.next;
while (curr.key < key) {
pred = curr;
curr = curr.next;
}
if (key == curr.key) {
return false; // Element already present
} else {
Node node = new Node(item);
node.next = curr;
pred.next = node;
return true;
}
} finally {
lock.unlock();
}
}
// Remove an element
public boolean remove(int item) {
Node pred, curr;
int key = item;
try {
lock.lock();
pred = head;
curr = pred.next;
while (curr.key < key) {
pred = curr;
curr = curr.next;
}
if (key == curr.key) {
// Element present, remove it
pred.next = curr.next;
return true;
} else {
return false; // Element not present
}
} finally {
lock.unlock();
}
}
// Test whether an element is present
public boolean contains(int item) {
Node pred, curr;
int key = item;
try {
lock.lock();
pred = head;
curr = pred.next;
while (curr.key < key) {
pred = curr;
curr = curr.next;
}
return (key == curr.key);
} finally {
lock.unlock();
}
}
public void display() {
Node temp = head;
int i = 0;
while (temp.next != null && i < 10) {
System.out.print(" " + temp.key);
temp = temp.next;
i = i + 1;
}
}
}
|
b3eb808823b33d8e4a5c71e1224b542c
|
{
"intermediate": 0.3560241162776947,
"beginner": 0.49385055899620056,
"expert": 0.15012532472610474
}
|
39,798
|
I've build a website that uses a Rest API to get all its data. My website is secured with a SSL certifcate. My default file (etc/nginx/sites-enabled/default) looks like this:
server {
listen 80;
server_name example.com;
rewrite ^/(.*) https://example.com/$1 permanent;
}
server {
listen 443 ssl;
listen [::]:80 default_server;
root /var/www/example;
index index.html;
server_name example.com;
ssl_certificate /root/example.com.crt;
ssl_certificate_key /root/example.com.key;
ssl_protocols TLSv1 TLSv1.1 TLSv1.2;
ssl_prefer_server_ciphers on;
ssl_ciphers 'EECDH+AESGCM:EDH+AESGCM:AES256+EECDH:AES256+EDH';
location / {
try_files $uri $uri/ =404;
}
}
The problem is that my Rest API (where I get all my data from) must have a SSL certificate aswell to transfer all the data securely to my website.
enter image description here
I created another server block for the rest api in my default file (etc/nginx/sites-enabled/default). It looks like this:
server {
listen 1337;
server_name example.com;
rewrite ^/(.*) https://example.com:1337/$1 permanent;
}
server {
listen 443 ssl;
listen [::]:1337 default_server;
# Add index.php to the list if you are using PHP
index index.html index.htm index.nginx-debian.html;
server_name example.com;
ssl_certificate /root/example.com.crt;
ssl_certificate_key /root/example.com.key;
ssl_protocols TLSv1 TLSv1.1 TLSv1.2;
ssl_prefer_server_ciphers on;
ssl_ciphers 'EECDH+AESGCM:EDH+AESGCM:AES256+EECDH:AES256+EDH';
location / {
proxy_pass http://example.com:1111;
}
}
I know I should combine them like this:
server {
listen 80ssl;
listen 1337 ssl;
index index.html index.htm index.nginx-debian.html;
server_name example.com;
ssl_certificate /root/example.com.crt;
ssl_certificate_key /root/example.com.key;
ssl_protocols TLSv1 TLSv1.1 TLSv1.2;
ssl_prefer_server_ciphers on;
ssl_ciphers 'EECDH+AESGCM:EDH+AESGCM:AES256+EECDH:AES256+EDH';
location / {
// DO SOMETHING
}
}
|
880a492864f9f9ee515398364f3156b5
|
{
"intermediate": 0.3166709244251251,
"beginner": 0.4511505961418152,
"expert": 0.23217855393886566
}
|
39,799
|
пройдемся по коду и остановимся в том месте, где он не дифференцируемый. Пометим это место комментарием кода с '#'. Остановимся. Больше ничего трогать не надо. Лаконично.
class KMeansCudaTorch(nn.Module):
def __init__(self, num_clusters, tolerance=1e-4, min_distance_k=10, metric="cosine", input_features=4096):
super().__init__()
def forward(self, data, initialize=False, assign_rate = 0.1):
distances = torch.cdist(data, self.centroids, p=2)
soft_assignments = torch.nn.functional.softmax(-distances, dim=1)
for i in range(self.num_clusters):
cluster_weighted_sum = torch.sum(data * soft_assignments[:, i].unsqueeze(1), dim=0)
cluster_weight = torch.sum(soft_assignments[:, i], dim=0)
if cluster_weight > 0:
self.new_centroids[i] = self.new_centroids[i] * (1-assign_rate) + cluster_weighted_sum / cluster_weight * assign_rate
unique_centroids, unique_indices = torch.unique(self.new_centroids, return_inverse=True, dim=0)
unique_list = []
if unique_centroids.shape[0] < self.num_clusters:
for idx, indice in enumerate(unique_indices):
if indice in unique_list:
new_centroid_index = torch.randint(0, data.shape[0], (1,))
self.new_centroids[idx] = data[new_centroid_index]
unique_list.append(indice)
self.centroids = self.new_centroids.clone()
x_reconstructed = self.decoder(soft_assignments)
return x_reconstructed
|
205101b3835cd9a27968c3d3506c4c88
|
{
"intermediate": 0.32216018438339233,
"beginner": 0.44442588090896606,
"expert": 0.2334139049053192
}
|
39,800
|
hello
|
aa3ca619e467a105d64898d642e3df60
|
{
"intermediate": 0.32064199447631836,
"beginner": 0.28176039457321167,
"expert": 0.39759764075279236
}
|
39,801
|
complete the code: Lock lock;
Node(int item) f this.key = item; this.next=null; this.lock
void lock() (lock.lock();)
void unlock() flock.unlock();)
new Reentrantlock();
blic boolean add(int item) (// Insert Operation
Node pred=null, curr=null;
int key = item;
head.lock();
try
pred = head;
curr= pred.next;
curr.lock();
while (curr.key key) f // if curr.key >= key then come out
pred.unlock();
pred
curr;
curr = curr.next;
I
curr.lock();|
if (curr.key == key)f return false; ) // Unseccessful insertion
Node newNode = new Node(item); // if key is not present then insert
newNode.next = curr;
pred.next= newNode;// LP of add() method
return true;
Successful insertion
)finally f curr.unlock(); pred.unlock(); )// unlock both nodes (i.e., curr and pred)
public boolean remove(int item) (// Remove Operation
Node pred null, curr
null;FineList.javat/
port java.util.concurrent locks.Lock;
port java.util.concurrent.locks.Reentrantlock;
blic class Finelist(
private Node head;
public FineList() (
head = new Node(Integer.MIN_VALUE);
head.next new Node(Integer.MAX_VALUE);
ivate class Node // Node Class
int key;
Node next;
Node (int item) ( this.key = item; this.nextenull; this.lock
Lock lock;
void lock() flock.lock();)
void unlock() (lock.unlock();)
new Reentrantlock(); )
blic boolean add(int item) (// Insert Operation
Node pred=null, curr=null;
int key = item;
head.lock();
try
pred
head;
curr
pred.next;
while (curr.key key) f// if curr.key >= key then come out
curr.lock();
pred.unlock();
pred
curr;
curr= curr.next;pred.unlock();
pred curr; curr curr.next, curr.lock();
if (curr.key key) { return false; } // Unseccessful insertion
Node newNode = new Node(item); // if key is not present then insert
newNode.next = curr; pred next newNode;// LP of add() method return true; // Successful insertion
finally { curr.unlock(); pred.unlock(); } // unlock both nodes (1.e., curr and pred)
public boolean remove(int item) {// Remove Operation
Node pred null, curr = null;
int key item;
head.lock();
try { pred head; curr pred.next; curr.lock();
while (curr.key key) (
pred.unlock(); pred curr;
curr curr.next;
curr.lock();
if (curr.key key) { pred.next curr.next; // LP of remove (curr.key == key)
pred.next curr.next; // LP of remove
return true;
return false;
finally ( curr.unlock(); pred.unlock(); )// Unlock both nodes
public boolean contains(int item) (//Contains Operation
Node pred = null, curr = null;
int key = item;
head.lock();
try
pred
head; curr
pred.next;
//curr.lock();
while (curr.key key)
// pred.unlock();
pred
curr;
curr = curr.next;
//curr.lock();
I
return (curr.key == key); // LP of contains
finally /*curr. unlock(); pred unlock();*/ M1 Unlock both nodes
public void display()
Node temp=head;
while(temp.next!=null)fpublic boolean contains(int item) (//Contains Operation
Node pred null, curr null;
int key item;
// head.lock();
try { pred head; curr pred.next;
//curr.lock();
while (curr.key < key) {
// pred.unlock(); pred = curr;
curr curr.next;
//curr.lock();
return (curr.key = key); // LP of contains
} finally (curr.unlock(); pred.unlock();*/ }// Unlock both nodes
public void display()
Node temp=head;
while(temp.next!=null){
System.out.print("\t"+temp.key);
tempstemp.next;
|
5bc5ff46719c760a840f28be1b2c4feb
|
{
"intermediate": 0.31181600689888,
"beginner": 0.5156264901161194,
"expert": 0.1725575029850006
}
|
39,802
|
user www www;
worker_processes auto;
error_log /www/wwwlogs/nginx_error.log crit;
pid /www/server/nginx/logs/nginx.pid;
worker_rlimit_nofile 51200;
stream {
log_format tcp_format '$time_local|$remote_addr|$protocol|$status|$bytes_sent|$bytes_received|$session_time|$upstream_addr|$upstream_bytes_sent|$upstream_bytes_received|$upstream_connect_time';
access_log /www/wwwlogs/tcp-access.log tcp_format;
error_log /www/wwwlogs/tcp-error.log;
include /www/server/panel/vhost/nginx/tcp/*.conf;
}
events
{
use epoll;
worker_connections 51200;
multi_accept on;
}
http
{
include mime.types;
#include luawaf.conf;
include proxy.conf;
default_type application/octet-stream;
server_names_hash_bucket_size 512;
client_header_buffer_size 32k;
large_client_header_buffers 4 32k;
client_max_body_size 50m;
sendfile on;
tcp_nopush on;
keepalive_timeout 60;
tcp_nodelay on;
fastcgi_connect_timeout 300;
fastcgi_send_timeout 300;
fastcgi_read_timeout 300;
fastcgi_buffer_size 64k;
fastcgi_buffers 4 64k;
fastcgi_busy_buffers_size 128k;
fastcgi_temp_file_write_size 256k;
fastcgi_intercept_errors on;
gzip on;
gzip_min_length 1k;
gzip_buffers 4 16k;
gzip_http_version 1.1;
gzip_comp_level 2;
gzip_types text/plain application/javascript application/x-javascript text/javascript text/css application/xml;
gzip_vary on;
gzip_proxied expired no-cache no-store private auth;
gzip_disable "MSIE [1-6]\.";
limit_conn_zone $binary_remote_addr zone=perip:10m;
limit_conn_zone $server_name zone=perserver:10m;
server_tokens off;
access_log off;
server
{
listen 888;
server_name phpmyadmin;
index index.html index.htm index.php;
root /www/server/phpmyadmin;
#error_page 404 /404.html;
include enable-php.conf;
location ~ .*\.(gif|jpg|jpeg|png|bmp|swf)$
{
expires 30d;
}
location ~ .*\.(js|css)?$
{
expires 12h;
}
location ~ /\.
{
deny all;
}
access_log /www/wwwlogs/access.log;
}
server {
listen 80;
server_name www.carduniverse.top;
return 301 https://$server_name$request_uri;
}
# server {
# listen 443;
# server_name www.carduniverse.top;
# ssl on;
# ssl_certificate cert/server.crt;
# ssl_certificate_key cert/server.key;
# ssl_session_timeout 5m;
# ssl_protocols TLSv1 TLSv1.1 TLSv1.2;
# ssl_ciphers ECDHE-RSA-AES128-GCM-SHA256:HIGH:!aNULL:!MD5:!RC4:!DHE;
# ssl_prefer_server_ciphers on;
# location ~ .+\.unityweb$ {
# add_header Content-Encoding: br;
# root /www/wwwroot/default/webgl; #站点目录
# index index.html index.htm;
# }
# }
server {
# Add the following config within http server configuration
# ...
listen 443;
server_name www.carduniverse.top;
ssl on;
ssl_certificate cert/server.crt;
ssl_certificate_key cert/server.key;
ssl_session_timeout 5m;
ssl_protocols TLSv1 TLSv1.1 TLSv1.2;
ssl_ciphers ECDHE-RSA-AES128-GCM-SHA256:HIGH:!aNULL:!MD5:!RC4:!DHE;
ssl_prefer_server_ciphers on;
# root /www/wwwroot/default/webgl; #站点目录
# index index.html;
location ~ .+\.unityweb$ {
add_header Content-Encoding: br;
root /www/wwwroot/default/webgl; #站点目录
index index.html index.htm;
}
# On-disk Brotli-precompressed data files should be served with compression enabled:
location ~ .+\.(data|symbols\.json)\.br$ {
# Because this file is already pre-compressed on disk, disable the on-demand compression on it.
# Otherwise nginx would attempt double compression.
gzip off;
add_header Content-Encoding br;
default_type application/octet-stream;
}
# On-disk Brotli-precompressed JavaScript code files:
location ~ .+\.js\.br$ {
gzip off; # Do not attempt dynamic gzip compression on an already compressed file
add_header Content-Encoding br;
default_type application/javascript;
}
# On-disk Brotli-precompressed WebAssembly files:
location ~ .+\.wasm\.br$ {
gzip off; # Do not attempt dynamic gzip compression on an already compressed file
add_header Content-Encoding br;
# Enable streaming WebAssembly compilation by specifying the correct MIME type for
# Wasm files.
default_type application/wasm;
}
# On-disk gzip-precompressed data files should be served with compression enabled:
location ~ .+\.(data|symbols\.json)\.gz$ {
gzip off; # Do not attempt dynamic gzip compression on an already compressed file
add_header Content-Encoding gzip;
default_type application/gzip;
}
# On-disk gzip-precompressed JavaScript code files:
location ~ .+\.js\.gz$ {
gzip off; # Do not attempt dynamic gzip compression on an already compressed file
add_header Content-Encoding gzip; # The correct MIME type here would be application/octet-stream, but due to Safari bug https://bugs.webkit.org/show_bug.cgi?id=247421, it's preferable to use MIME Type application/gzip instead.
default_type application/javascript;
}
# On-disk gzip-precompressed WebAssembly files:
location ~ .+\.wasm\.gz$ {
gzip off; # Do not attempt dynamic gzip compression on an already compressed file
add_header Content-Encoding gzip;
# Enable streaming WebAssembly compilation by specifying the correct MIME type for
# Wasm files.
default_type application/wasm;
}
}
server {
listen 80;
server_name cms.carduniverse.top;
return 301 https://$server_name$request_uri;
}
server {
# Listen HTTPS
listen 80;
server_name cms.carduniverse.top;
# SSL config
ssl on;
ssl_certificate cert/server.crt;
ssl_certificate_key cert/server.key;
ssl_session_timeout 5m;
ssl_protocols TLSv1 TLSv1.1 TLSv1.2;
ssl_ciphers ECDHE-RSA-AES128-GCM-SHA256:HIGH:!aNULL:!MD5:!RC4:!DHE;
ssl_prefer_server_ciphers on;
# Proxy Config
location / {
proxy_pass http://127.0.0.1:1337;
proxy_http_version 1.1;
proxy_set_header X-Forwarded-Host $host;
proxy_set_header X-Forwarded-Server $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_set_header Host $http_host;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection "Upgrade";
proxy_pass_request_headers on;
}
}
include /www/server/panel/vhost/nginx/*.conf;
}
user www www;
worker_processes auto;
error_log /www/wwwlogs/nginx_error.log crit;
pid /www/server/nginx/logs/nginx.pid;
worker_rlimit_nofile 51200;
stream {
log_format tcp_format '$time_local|$remote_addr|$protocol|$status|$bytes_sent|$bytes_received|$session_time|$upstream_addr|$upstream_bytes_sent|$upstream_bytes_received|$upstream_connect_time';
access_log /www/wwwlogs/tcp-access.log tcp_format;
error_log /www/wwwlogs/tcp-error.log;
include /www/server/panel/vhost/nginx/tcp/*.conf;
}
events
{
use epoll;
worker_connections 51200;
multi_accept on;
}
http
{
include mime.types;
#include luawaf.conf;
include proxy.conf;
default_type application/octet-stream;
server_names_hash_bucket_size 512;
client_header_buffer_size 32k;
large_client_header_buffers 4 32k;
client_max_body_size 50m;
sendfile on;
tcp_nopush on;
keepalive_timeout 60;
tcp_nodelay on;
fastcgi_connect_timeout 300;
fastcgi_send_timeout 300;
fastcgi_read_timeout 300;
fastcgi_buffer_size 64k;
fastcgi_buffers 4 64k;
fastcgi_busy_buffers_size 128k;
fastcgi_temp_file_write_size 256k;
fastcgi_intercept_errors on;
gzip on;
gzip_min_length 1k;
gzip_buffers 4 16k;
gzip_http_version 1.1;
gzip_comp_level 2;
gzip_types text/plain application/javascript application/x-javascript text/javascript text/css application/xml;
gzip_vary on;
gzip_proxied expired no-cache no-store private auth;
gzip_disable "MSIE [1-6]\.";
limit_conn_zone $binary_remote_addr zone=perip:10m;
limit_conn_zone $server_name zone=perserver:10m;
server_tokens off;
access_log off;
server
{
listen 888;
server_name phpmyadmin;
index index.html index.htm index.php;
root /www/server/phpmyadmin;
#error_page 404 /404.html;
include enable-php.conf;
location ~ .*\.(gif|jpg|jpeg|png|bmp|swf)$
{
expires 30d;
}
location ~ .*\.(js|css)?$
{
expires 12h;
}
location ~ /\.
{
deny all;
}
access_log /www/wwwlogs/access.log;
}
server {
listen 80;
server_name www.carduniverse.top;
return 301 https://$server_name$request_uri;
}
# server {
# listen 443;
# server_name www.carduniverse.top;
# ssl on;
# ssl_certificate cert/server.crt;
# ssl_certificate_key cert/server.key;
# ssl_session_timeout 5m;
# ssl_protocols TLSv1 TLSv1.1 TLSv1.2;
# ssl_ciphers ECDHE-RSA-AES128-GCM-SHA256:HIGH:!aNULL:!MD5:!RC4:!DHE;
# ssl_prefer_server_ciphers on;
# location ~ .+\.unityweb$ {
# add_header Content-Encoding: br;
# root /www/wwwroot/default/webgl; #站点目录
# index index.html index.htm;
# }
# }
server {
# Add the following config within http server configuration
# ...
listen 443;
server_name www.carduniverse.top;
ssl on;
ssl_certificate cert/server.crt;
ssl_certificate_key cert/server.key;
ssl_session_timeout 5m;
ssl_protocols TLSv1 TLSv1.1 TLSv1.2;
ssl_ciphers ECDHE-RSA-AES128-GCM-SHA256:HIGH:!aNULL:!MD5:!RC4:!DHE;
ssl_prefer_server_ciphers on;
# root /www/wwwroot/default/webgl; #站点目录
# index index.html;
location ~ .+\.unityweb$ {
add_header Content-Encoding: br;
root /www/wwwroot/default/webgl; #站点目录
index index.html index.htm;
}
# On-disk Brotli-precompressed data files should be served with compression enabled:
location ~ .+\.(data|symbols\.json)\.br$ {
# Because this file is already pre-compressed on disk, disable the on-demand compression on it.
# Otherwise nginx would attempt double compression.
gzip off;
add_header Content-Encoding br;
default_type application/octet-stream;
}
# On-disk Brotli-precompressed JavaScript code files:
location ~ .+\.js\.br$ {
gzip off; # Do not attempt dynamic gzip compression on an already compressed file
add_header Content-Encoding br;
default_type application/javascript;
}
# On-disk Brotli-precompressed WebAssembly files:
location ~ .+\.wasm\.br$ {
gzip off; # Do not attempt dynamic gzip compression on an already compressed file
add_header Content-Encoding br;
# Enable streaming WebAssembly compilation by specifying the correct MIME type for
# Wasm files.
default_type application/wasm;
}
# On-disk gzip-precompressed data files should be served with compression enabled:
location ~ .+\.(data|symbols\.json)\.gz$ {
gzip off; # Do not attempt dynamic gzip compression on an already compressed file
add_header Content-Encoding gzip;
default_type application/gzip;
}
# On-disk gzip-precompressed JavaScript code files:
location ~ .+\.js\.gz$ {
gzip off; # Do not attempt dynamic gzip compression on an already compressed file
add_header Content-Encoding gzip; # The correct MIME type here would be application/octet-stream, but due to Safari bug https://bugs.webkit.org/show_bug.cgi?id=247421, it's preferable to use MIME Type application/gzip instead.
default_type application/javascript;
}
# On-disk gzip-precompressed WebAssembly files:
location ~ .+\.wasm\.gz$ {
gzip off; # Do not attempt dynamic gzip compression on an already compressed file
add_header Content-Encoding gzip;
# Enable streaming WebAssembly compilation by specifying the correct MIME type for
# Wasm files.
default_type application/wasm;
}
}
server {
listen 80;
server_name cms.carduniverse.top;
return 301 https://$server_name$request_uri;
}
server {
# Listen HTTPS
listen 80;
server_name cms.carduniverse.top;
# SSL config
ssl on;
ssl_certificate cert/server.crt;
ssl_certificate_key cert/server.key;
ssl_session_timeout 5m;
ssl_protocols TLSv1 TLSv1.1 TLSv1.2;
ssl_ciphers ECDHE-RSA-AES128-GCM-SHA256:HIGH:!aNULL:!MD5:!RC4:!DHE;
ssl_prefer_server_ciphers on;
# Proxy Config
location / {
proxy_pass http://127.0.0.1:1337;
proxy_http_version 1.1;
proxy_set_header X-Forwarded-Host $host;
proxy_set_header X-Forwarded-Server $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_set_header Host $http_host;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection "Upgrade";
proxy_pass_request_headers on;
}
}
include /www/server/panel/vhost/nginx/*.conf;
}
user www www;
worker_processes auto;
error_log /www/wwwlogs/nginx_error.log crit;
pid /www/server/nginx/logs/nginx.pid;
worker_rlimit_nofile 51200;
stream {
log_format tcp_format '$time_local|$remote_addr|$protocol|$status|$bytes_sent|$bytes_received|$session_time|$upstream_addr|$upstream_bytes_sent|$upstream_bytes_received|$upstream_connect_time';
access_log /www/wwwlogs/tcp-access.log tcp_format;
error_log /www/wwwlogs/tcp-error.log;
include /www/server/panel/vhost/nginx/tcp/*.conf;
}
events
{
use epoll;
worker_connections 51200;
multi_accept on;
}
http
{
include mime.types;
#include luawaf.conf;
include proxy.conf;
default_type application/octet-stream;
server_names_hash_bucket_size 512;
client_header_buffer_size 32k;
large_client_header_buffers 4 32k;
client_max_body_size 50m;
sendfile on;
tcp_nopush on;
keepalive_timeout 60;
tcp_nodelay on;
fastcgi_connect_timeout 300;
fastcgi_send_timeout 300;
fastcgi_read_timeout 300;
fastcgi_buffer_size 64k;
fastcgi_buffers 4 64k;
fastcgi_busy_buffers_size 128k;
fastcgi_temp_file_write_size 256k;
fastcgi_intercept_errors on;
gzip on;
gzip_min_length 1k;
gzip_buffers 4 16k;
gzip_http_version 1.1;
gzip_comp_level 2;
gzip_types text/plain application/javascript application/x-javascript text/javascript text/css application/xml;
gzip_vary on;
gzip_proxied expired no-cache no-store private auth;
gzip_disable "MSIE [1-6]\.";
limit_conn_zone $binary_remote_addr zone=perip:10m;
limit_conn_zone $server_name zone=perserver:10m;
server_tokens off;
access_log off;
server
{
listen 888;
server_name phpmyadmin;
index index.html index.htm index.php;
root /www/server/phpmyadmin;
#error_page 404 /404.html;
include enable-php.conf;
location ~ .*\.(gif|jpg|jpeg|png|bmp|swf)$
{
expires 30d;
}
location ~ .*\.(js|css)?$
{
expires 12h;
}
location ~ /\.
{
deny all;
}
access_log /www/wwwlogs/access.log;
}
server {
listen 80;
server_name www.carduniverse.top;
return 301 https://$server_name$request_uri;
}
# server {
# listen 443;
# server_name www.carduniverse.top;
# ssl on;
# ssl_certificate cert/server.crt;
# ssl_certificate_key cert/server.key;
# ssl_session_timeout 5m;
# ssl_protocols TLSv1 TLSv1.1 TLSv1.2;
# ssl_ciphers ECDHE-RSA-AES128-GCM-SHA256:HIGH:!aNULL:!MD5:!RC4:!DHE;
# ssl_prefer_server_ciphers on;
# location ~ .+\.unityweb$ {
# add_header Content-Encoding: br;
# root /www/wwwroot/default/webgl; #站点目录
# index index.html index.htm;
# }
# }
server {
# Add the following config within http server configuration
# ...
listen 443;
server_name www.carduniverse.top;
ssl on;
ssl_certificate cert/server.crt;
ssl_certificate_key cert/server.key;
ssl_session_timeout 5m;
ssl_protocols TLSv1 TLSv1.1 TLSv1.2;
ssl_ciphers ECDHE-RSA-AES128-GCM-SHA256:HIGH:!aNULL:!MD5:!RC4:!DHE;
ssl_prefer_server_ciphers on;
# root /www/wwwroot/default/webgl; #站点目录
# index index.html;
location ~ .+\.unityweb$ {
add_header Content-Encoding: br;
root /www/wwwroot/default/webgl; #站点目录
index index.html index.htm;
}
# On-disk Brotli-precompressed data files should be served with compression enabled:
location ~ .+\.(data|symbols\.json)\.br$ {
# Because this file is already pre-compressed on disk, disable the on-demand compression on it.
# Otherwise nginx would attempt double compression.
gzip off;
add_header Content-Encoding br;
default_type application/octet-stream;
}
# On-disk Brotli-precompressed JavaScript code files:
location ~ .+\.js\.br$ {
gzip off; # Do not attempt dynamic gzip compression on an already compressed file
add_header Content-Encoding br;
default_type application/javascript;
}
# On-disk Brotli-precompressed WebAssembly files:
location ~ .+\.wasm\.br$ {
gzip off; # Do not attempt dynamic gzip compression on an already compressed file
add_header Content-Encoding br;
# Enable streaming WebAssembly compilation by specifying the correct MIME type for
# Wasm files.
default_type application/wasm;
}
# On-disk gzip-precompressed data files should be served with compression enabled:
location ~ .+\.(data|symbols\.json)\.gz$ {
gzip off; # Do not attempt dynamic gzip compression on an already compressed file
add_header Content-Encoding gzip;
default_type application/gzip;
}
# On-disk gzip-precompressed JavaScript code files:
location ~ .+\.js\.gz$ {
gzip off; # Do not attempt dynamic gzip compression on an already compressed file
add_header Content-Encoding gzip; # The correct MIME type here would be application/octet-stream, but due to Safari bug https://bugs.webkit.org/show_bug.cgi?id=247421, it's preferable to use MIME Type application/gzip instead.
default_type application/javascript;
}
# On-disk gzip-precompressed WebAssembly files:
location ~ .+\.wasm\.gz$ {
gzip off; # Do not attempt dynamic gzip compression on an already compressed file
add_header Content-Encoding gzip;
# Enable streaming WebAssembly compilation by specifying the correct MIME type for
# Wasm files.
default_type application/wasm;
}
}
server {
listen 80;
server_name cms.carduniverse.top;
return 301 https://$server_name$request_uri;
}
server {
# Listen HTTPS
listen 80;
server_name cms.carduniverse.top;
# SSL config
ssl on;
ssl_certificate cert/server.crt;
ssl_certificate_key cert/server.key;
ssl_session_timeout 5m;
ssl_protocols TLSv1 TLSv1.1 TLSv1.2;
ssl_ciphers ECDHE-RSA-AES128-GCM-SHA256:HIGH:!aNULL:!MD5:!RC4:!DHE;
ssl_prefer_server_ciphers on;
# Proxy Config
location / {
proxy_pass http://127.0.0.1:1337;
proxy_http_version 1.1;
proxy_set_header X-Forwarded-Host $host;
proxy_set_header X-Forwarded-Server $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_set_header Host $http_host;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection "Upgrade";
proxy_pass_request_headers on;
}
}
include /www/server/panel/vhost/nginx/*.conf;
}
这个nginx配置 文件 我使用http://cms.carduniverse.top:1337 能访问后台
https://cms.carduniverse.top:1337,却无法访问，怎么解决这个问题？帮我修改下这个nginx 配置文件
|
af4ce13791b7c1bcc9de62bf5b40eba4
|
{
"intermediate": 0.32812950015068054,
"beginner": 0.39650240540504456,
"expert": 0.2753680348396301
}
|
39,803
|
how to get the file name and extension from the url in java script. For example: https://d.dam.test.com/a/UyGSAon/test_how_to-V1.pdf?rc=10, the file name should be test_how_to-V1.pdf and the extension should be PDF.
|
20612598d937286eb72bd5976ad9ef97
|
{
"intermediate": 0.4179781675338745,
"beginner": 0.2027762234210968,
"expert": 0.3792455792427063
}
|
39,804
|
how to get the file name and extension from the url in java script. For example: https://d.dam.test.com/a/UyGSAon/test_how_to-V1.pdf?rc=10, the file name should be test_how_to-V1.pdf and the extension should be PDF. And if extension can not be deteced, return HTM for the extension. IF URL is https://me.sap.com/notes/2720477/E, only return 2720477 as file name, and extension should be HTM
|
525615c59a067b83c9f3e4f07d68a807
|
{
"intermediate": 0.4444676339626312,
"beginner": 0.28556469082832336,
"expert": 0.2699676752090454
}
|
39,805
|
How to check that newly created variable is attached to the existing RITMS? If it's not attached the how to attach new variable to existing RITMS
|
0c4d5d987cac78eb3c482aeb7436b581
|
{
"intermediate": 0.38500913977622986,
"beginner": 0.36152082681655884,
"expert": 0.2534700334072113
}
|
39,806
|
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Quiz Ekleme Sayfası</title>
<style>
@import url('https://fonts.googleapis.com/css2?family=Poppins:wght@400&display=swap');
body {
display: flex;
font-family: Arial, sans-serif;
background-color: #141d26;
margin: 0;
padding: 0;
justify-content: center;
align-items: center;
height: 100vh;
}
.container {
text-align: center;
background-color: #1c2938;
padding: 50px;
border-radius: 10px;
box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
}
h1 {
color: #fff;
margin-bottom: 30px;
}
button {
background-color: #0a141f;
color: #fff;
padding: 15px 30px;
border: none;
border-radius: 4px;
cursor: pointer;
text-decoration: none;
margin: 10px;
transition: background-color 0.3s ease;
}
button:hover {
background-color: #06101a;
}
p{
color:white;
font-weight:bold;
}
input{
font-family:Poppins;
}
#not{
color:rgba(245,245,245,0.2);
}
</style>
</head>
<body>
<div class="container">
<h1>Quiz Ekleme Sayfası</h1>
<p>Girdiğiniz Quiz İsmi Tüm Sayfalara Otomatik Eklenecektir</p>
<p id="not">Not: .html Otomatik olarak eklenecektir</p>
<input type="text" id="quizİsim" placeholder="html_quiz">
<br>
<button onclick="konuGonder()">Gönder</button>
<br>
<a href="soruadmin.html"><button>Quiz Admin Sayfasına Dön</button></a>
</div>
<script>
function konuGonder(){
var quizİsim = document.getElementById('quizİsim').value;
var xhr = new XMLHttpRequest();
xhr.open('POST', 'yeniKonu.php', true);
xhr.setRequestHeader('Content-Type', 'application/x-www-form-urlencoded');
xhr.onload = function() {
if (xhr.status === 200) {
alert(xhr.responseText);
}else{
alert(xhr.responseText);
};
xhr.send('quiz_adresi=' + encodeURIComponent(quizİsim));
};
};
</script>
</body>
</html>
bu sayfadaki hata nedir
|
0985586991bbca0c92dc3243a3f4c9c3
|
{
"intermediate": 0.3012210726737976,
"beginner": 0.4424450993537903,
"expert": 0.2563338279724121
}
|
39,807
|
how to get the file name and extension from the url in java script. For example: https://d.dam.test.com/a/UyGSAon/test_how_to-V1.pdf?rc=10, the file name should be test_how_to-V1.pdf and the extension should be PDF. And if extension can not be deteced, return HTM for the extension. IF URL is https://me.sap.com/notes/2720477/E, only return 2720477 as file name, and extension should be HTM
|
8968b342a914aaf449cecaed674ddda5
|
{
"intermediate": 0.4444676339626312,
"beginner": 0.28556469082832336,
"expert": 0.2699676752090454
}
|
39,808
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In Static content record i want to get current logged in user Static content block in servicenow
|
f42ab236d130fc1465fab1971e5d1233
|
{
"intermediate": 0.3614003658294678,
"beginner": 0.29386454820632935,
"expert": 0.34473514556884766
}
|
39,809
|
how to get the file name and extension from the url in javascript. For example: https://d.dam.test.com/a/UyGSAon/test_how_to-V1.pdf?rc=10, the file name should be test_how_to-V1.pdf and the extension should be PDF. IF URL is https://me.sap.com/notes/2720477/E, only return 2720477 as file name, and extension should be HTM (And if extension can not be deteced, return HTM for the extension.) If the URL is https://help.sap.com/docs/ABAP_PLATFORM_NEW/a7b390faab1140c087b8926571e942b7/f951b50a07ce41deb08ced62711fe8b5.html?version=202310.000, the file name should be empty since it's more or less an ID and user can not understand, and the extension should be HTML.
|
42bed5f57ca38464d35869d94122f433
|
{
"intermediate": 0.4164300262928009,
"beginner": 0.2818842828273773,
"expert": 0.3016856610774994
}
|
39,810
|
how to get the file name and extension from the url in javascript. For example: https://d.dam.test.com/a/UyGSAon/test_how_to-V1.pdf?rc=10, the file name should be test_how_to-V1.pdf and the extension should be PDF. IF URL is https://me.sap.com/notes/2720477/E, only return 2720477 as file name, and extension should be HTM (And if extension can not be deteced, return HTM for the extension.) If the URL is https://help.sap.com/docs/ABAP_PLATFORM_NEW/a7b390faab1140c087b8926571e942b7/f951b50a07ce41deb08ced62711fe8b5.html?version=202310.000, the file name should be empty since it's more or less an ID and user can not understand, and the extension should be HTML.
|
249256fadd45a7efcc2c970c375796af
|
{
"intermediate": 0.4164300262928009,
"beginner": 0.2818842828273773,
"expert": 0.3016856610774994
}
|
39,811
|
how to get the file name and extension from the url in javascript. For example: https://d.dam.test.com/a/UyGSAon/test_how_to-V1.pdf?rc=10, the file name should be test_how_to-V1.pdf and the extension should be PDF. IF URL is https://me.sap.com/notes/2720477/E, only return 2720477 as file name, and extension should be HTM (And if extension can not be deteced, return HTM for the extension.) If the URL is https://help.sap.com/docs/ABAP_PLATFORM_NEW/a7b390faab1140c087b8926571e942b7/f951b50a07ce41deb08ced62711fe8b5.html?version=202310.000, the file name should be empty since it’s more or less an ID and user can not understand, and the extension should be HTML.
|
1b0eb30e665f90c1136543225ee1ca49
|
{
"intermediate": 0.44150322675704956,
"beginner": 0.27600255608558655,
"expert": 0.2824942171573639
}
|
39,812
|
Exclude the hardware model for the Toshiba Portege R835-P81 from the Content Service.
|
e3415b081cbee3ace988fec8227f36b5
|
{
"intermediate": 0.26631465554237366,
"beginner": 0.4095209538936615,
"expert": 0.32416442036628723
}
|
39,813
|
how to detect if the string is an UUID or GUID
|
a1dc7e1ab2508c001aca3b0e7104d0c4
|
{
"intermediate": 0.3467147648334503,
"beginner": 0.2575340270996094,
"expert": 0.3957512676715851
}
|
39,814
|
How to detect id like this f951b50a07ce41deb08ced62711fe8b5 in Javascript
|
d67ce1e9f4923fdf1b75f5f70080f410
|
{
"intermediate": 0.2732727825641632,
"beginner": 0.1727757304906845,
"expert": 0.5539515018463135
}
|
39,815
|
How do I use javascript in the developer console to add a cookie?
|
07a49365b1db110205020acc5fae84ac
|
{
"intermediate": 0.7494783997535706,
"beginner": 0.1426883339881897,
"expert": 0.10783321410417557
}
|
39,816
|
I'm trying to find the number of negative values in the dataset for order quantity dataset['OrderQuantity']
negative_values = dataset.filter(dataset['OrderQuantity'] < 0)
count_negative_values = len(negative_values)
print(count_negative_values) 18733, how do I replace theses negative values with 0?
|
6b6517e06afb498d24d1e7c745d906e9
|
{
"intermediate": 0.44218045473098755,
"beginner": 0.3288116753101349,
"expert": 0.22900788486003876
}
|
39,817
|
how to get the file name and extension from the url in javascript. For example: https://d.dam.test.com/a/UyGSAon/test_how_to-V1.pdf?rc=10, the file name should be test_how_to-V1.pdf and the extension should be PDF. IF URL is https://me.sap.com/notes/2720477/E, only return 2720477 as file name, and extension should be HTM (And if extension can not be deteced, return HTM for the extension.) If the URL is https://help.sap.com/docs/ABAP_PLATFORM_NEW/a7b390faab1140c087b8926571e942b7/f951b50a07ce41deb08ced62711fe8b5.html?version=202310.000, the file name should be empty since it’s more or less an ID and user can not understand, and the extension should be HTML.
|
018c471eaf1349b4c059563a26c8bcb6
|
{
"intermediate": 0.44150322675704956,
"beginner": 0.27600255608558655,
"expert": 0.2824942171573639
}
|
39,818
|
rust why is T sync if &T is send
|
279ad89a4c1a2535f75f1a4ed9495689
|
{
"intermediate": 0.411347895860672,
"beginner": 0.39875659346580505,
"expert": 0.18989549577236176
}
|
39,819
|
Ramesh, a doctor in Hyderabad, wants to evaluate the performance metrics of the breast cancer dataset from
the sklearn package using the following machine learning algorithms:
1. Ada Boost
2. XG Boost
3. Random Forest
4. Decision Tree
Performance metrics: accuracy, classification report, precision score, recall score and f1 score. Visualize all the
confusion matrices using matplotlib with subplot.
(Hint: from sklearn.datasets import load_breast_cancer)
give me python program with all visual plots required with correct outputs without errors.
|
4c783be408c9257470f4432b20898aca
|
{
"intermediate": 0.1591343730688095,
"beginner": 0.04874660447239876,
"expert": 0.792119026184082
}
|
39,820
|
how to remove the GUID inside a string in JS? for example: remove ef300d28-a31d-43a6-9bf1-7167bb1c6193 from what-are-the-organizational-change-management-capabilities-of-your-organization_ef300d28-a31d-43a6-9bf1-7167bb1c6193
|
05de15691c2bcd5fc840e7ddc1060fc2
|
{
"intermediate": 0.7182362675666809,
"beginner": 0.13609103858470917,
"expert": 0.1456727385520935
}
|
39,821
|
Hi
|
cb411e781f4b6cc84e57d0e8dd424ae5
|
{
"intermediate": 0.33010533452033997,
"beginner": 0.26984941959381104,
"expert": 0.400045245885849
}
|
39,822
|
want to access the page of xampp server in mobile using wifi
|
24e267d4733e26fc6d71560e47601b93
|
{
"intermediate": 0.4255748391151428,
"beginner": 0.2189333736896515,
"expert": 0.3554917573928833
}
|
39,823
|
what is the best format to put an open-source project in a resume?
|
9740a05e5f971fce891693c120f7b3ca
|
{
"intermediate": 0.3803049623966217,
"beginner": 0.2876681089401245,
"expert": 0.3320269286632538
}
|
39,824
|
Given the code:
“
import numpy as np
y1 = noisy_train_digits[‘trainData’][0][0][:, (0, 399)]
y2 = noisy_train_digits[‘trainData’][0][0][:, (399, 400)]
print(y1.shape)
print(y2.shape)
C1 = np.cov(y1, rowvar=False, bias=True)
print(C1)
C2 = np.cov(y2, rowvar=False, bias=True)
print(C2)
”
the output:
“
(5923, 2)
(5923, 2)
[[1.01667877e-01 1.20494637e-03]
[1.20494637e-03 1.45611486e+00]]
[[1.45611486 0.60542267]
[0.60542267 1.27947404]]
”
The images are handwritten digits. C1 and C2 are the covariance between Pixel 1 and Pixel 400 and the covariance between Pixel 400 and Pixel 401 respectively. Which covariance is larger and why? Note that the covariance
between two random variables is a scalar.
|
26e4686cc33443d93db7e7a71c853cd4
|
{
"intermediate": 0.2939209043979645,
"beginner": 0.33954739570617676,
"expert": 0.36653172969818115
}
|
39,825
|
hey, i have this script "from typing import (
Optional, List, Union
)
import string
import random
import time
import httpx
import asyncio
from .f_types import (
DScaffold,
APIResponse,
AttackCardInfo,
BattleRequest,
BattleResponse,
CardsSelection,
CardInfo,
CoolOffRequest,
CoolOffResponse,
DeviceConstants,
DeviceConstantsRequest,
ErrorMessages,
ErrorMessagesRequest,
FillPotionRequest,
FillPotionResponse,
FruitCardInfo,
FruitExportContainer,
FruitJsonExportRequest,
GetOpponentsRequest,
GetOpponentsResponse,
GetPlayerInfoRequest,
GetPlayerInfoResponse,
GlobalRankingsRequest,
GlobalRankingsResponse,
LanguagePatchRequest,
LanguagePathResponse,
LeagueRankingsRequest,
LeagueRankingsResponse,
LeagueWinnerRanges,
LiveBattleHelpRequest,
LiveBattleHelpResponse,
LiveBattleRequest,
LiveBattleResponse,
new_int_array,
PlayerComebackRequest,
PlayerComebackResponse,
PlayerLoadRequest,
PlayerLoadResponse,
PotionizeRequest,
PotionizeResponse,
QuestRequest,
QuestResponse,
SetCardForLiveBattleRequest,
SetCardForLiveBattleResponse,
TribeMembersRequest,
TribeMembersResponse,
TribeRankingsRequest,
TribeRankingsResponse,
CollectGoldRequest,
CollectGoldResponse,
EvolveCardRequest,
EvolveCardResponse,
)
from .f_types.utils import (
xor_decrypt,
choose_strongest_atk_ids,
choose_strongest_atk_id,
hash_q_string,
)
from .f_types.errors import (
UnknownError,
PlayerLoadException,
FruitServerException,
)
import inspect
import json
import logging
_MAX_PASSPORT_LENGTH = 32
class FruitCraftClient():
passport: str = ""
http_client: httpx.AsyncClient = None
cool_off_sleep_time: Optional[int] = None
attacks_today: int = 0
last_loaded_player: PlayerLoadResponse = None
last_battle_request: BattleRequest = None
login_options: PlayerLoadRequest = None
cached_errors: ErrorMessages = None
log_player_id_before_atk: bool = False
log_before_resp_parsing: bool = False
log_before_req_sending: bool = False
last_q_value: str = ""
logger: logging.Logger = None
mut: asyncio.Lock = None
_default_url = "\u0068\u0074\u0074\u0070\u003a\u002f\u002f\u0069\u0072\u0061\u006e\u002e\u0066\u0072\u0075\u0069\u0074\u0063\u0072\u0061\u0066\u0074\u002e\u0069\u0072"
_serialize_key: str = None
_error_codes_to_sleep = { # times are in seconds
156: 4,
124: 2,
184: 2,
}
_max_login_tries: int = 50
def __init__(self, passport: str = None):
if not passport:
passport = FruitCraftClient.generate_passport()
self.mut = asyncio.Lock()
self.http_client = httpx.AsyncClient()
self.passport = passport
if not self.logger:
self.logger = logging.getLogger(__name__)
async def evolve_card(self, sacrifices: Union[CardsSelection, int]) -> EvolveCardResponse:
if isinstance(sacrifices, int):
sacrifices = new_int_array([sacrifices])
return await self.evolve_card_with_options(EvolveCardRequest(
sacrifices=sacrifices,
))
async def evolve_card_with_options(self, opt: EvolveCardRequest) -> EvolveCardResponse:
api_response: APIResponse = await self.send_and_parse(
"cards/evolve", opt, EvolveCardResponse)
return api_response.data
async def collect_gold(self) -> CollectGoldResponse:
return await self.collect_gold_with_options(CollectGoldRequest())
async def collect_gold_with_options(self, opt: CollectGoldRequest) -> CollectGoldResponse:
opt.set_default_values()
api_response: APIResponse = await self.send_and_parse(
"cards/collectgold", opt, CollectGoldResponse)
return api_response.data
async def get_player_info(self, player_id: int) -> GetPlayerInfoResponse:
return await self.get_player_info_with_options(GetPlayerInfoRequest(player_id=player_id))
async def get_player_info_with_options(self, opt: GetPlayerInfoRequest) -> GetPlayerInfoResponse:
api_response: APIResponse = await self.send_and_parse(
"player/getplayerinfo", opt, GetPlayerInfoResponse)
return api_response.data
async def potionize(self, hero_id: int, amount: int) -> PotionizeResponse:
return await self.potionize_with_options(PotionizeRequest(potion=amount, hero_id=hero_id))
async def potionize_with_options(self, opt: PotionizeRequest) -> PotionizeResponse:
api_response: APIResponse = await self.send_and_parse(
"cards/potionize", opt, PotionizeResponse)
player_potion = getattr(api_response.data, "player_potion", None)
if player_potion != None and isinstance(player_potion, int):
self.last_loaded_player.potion_number = player_potion
return api_response.data
async def fill_potions(self, amount: int = None) -> FillPotionResponse:
return await self.fill_potions_with_options(FillPotionRequest(amount=amount))
async def fill_potions_with_options(self, opt: FillPotionRequest) -> FillPotionResponse:
if not opt.amount and self.last_loaded_player:
opt.amount = 50 - self.last_loaded_player.potion_number
if not opt.amount:
return FillPotionResponse(potion_number=self.last_loaded_player.potion_number)
api_response: APIResponse = await self.send_and_parse(
"player/fillpotion", opt, FillPotionResponse)
fill_result = api_response.data
if not isinstance(fill_result, FillPotionResponse):
return None
if self.last_loaded_player:
self.last_loaded_player.potion_number = fill_result.potion_number
return api_response.data
async def get_league_rankings(self) -> LeagueRankingsResponse:
return await self.get_league_rankings_with_options(LeagueRankingsRequest())
async def get_league_rankings_with_options(self, opt: LeagueRankingsRequest) -> LeagueRankingsResponse:
opt.set_default_values()
api_response: APIResponse = await self.send_and_parse(
"ranking/league", opt, LeagueRankingsResponse)
return api_response.data
async def get_global_rankings(self) -> GlobalRankingsResponse:
return await self.get_global_rankings_with_options(GlobalRankingsRequest())
async def get_global_rankings_with_options(self, opt: GlobalRankingsRequest) -> GlobalRankingsResponse:
opt.set_default_values()
api_response: APIResponse = await self.send_and_parse(
"ranking/global", opt, GlobalRankingsResponse)
return api_response.data
async def get_tribe_rankings(self) -> TribeRankingsResponse:
return await self.get_tribe_rankings_with_options(TribeRankingsRequest())
async def get_tribe_rankings_with_options(self, opt: TribeRankingsRequest) -> TribeRankingsResponse:
opt.set_default_values()
api_response: APIResponse = await self.send_and_parse(
"ranking/tribe", opt, TribeRankingsResponse)
return api_response.data
async def live_battle_help(self, battle_id: int) -> bool:
return await self.live_battle_help_with_options(LiveBattleHelpRequest(
battle_id=battle_id,
))
async def live_battle_help_with_options(self, opt: LiveBattleHelpRequest) -> bool:
api_response: APIResponse = await self.send_and_parse(
"live-battle/help", opt, LiveBattleHelpResponse)
return api_response.status
async def set_card_for_live_battle(self, opt: SetCardForLiveBattleRequest) -> SetCardForLiveBattleResponse:
api_response: APIResponse = await self.send_and_parse(
"live-battle/setcardforlivebattle", opt, SetCardForLiveBattleResponse)
return api_response.data
async def do_live_battle(self, opponent_id: int) -> LiveBattleResponse:
return await self.do_live_battle_with_options(LiveBattleRequest(
opponent_id=opponent_id,
))
async def do_live_battle_with_options(self, opt: LiveBattleRequest) -> LiveBattleResponse:
if not isinstance(opt.opponent_id, int) and opt.opponent_id != None:
tmp_id = getattr(opt.opponent_id, "id", None)
if isinstance(tmp_id, int):
opt.opponent_id = tmp_id
api_response: APIResponse = await self.send_and_parse(
"live-battle/livebattle", opt, LiveBattleResponse)
return api_response.data
def set_cool_off_sleep_amount(self, sleep_amount: int) -> None:
self.cool_off_sleep_time = sleep_amount
async def heal_all(self, cards: CardsSelection) -> List[CoolOffResponse]:
return await self.heal_all_with_ids(*cards.cards)
async def heal_all_with_ids(self, *card_ids) -> List[CoolOffResponse]:
results = []
for current_id in card_ids:
try:
results.append(await self.cool_off(current_id))
except Exception as ex:
self.logger.warning(f"failed to heal card {current_id}: {ex}")
if self.cool_off_sleep_time:
await asyncio.sleep(self.cool_off_sleep_time)
return results
async def cool_off(self, card_id: int) -> CoolOffResponse:
return await self.cool_off_with_options(
CoolOffRequest(
card_id=card_id,
)
)
async def cool_off_with_options(self, opt: CoolOffRequest) -> CoolOffResponse:
api_response: APIResponse = await self.send_and_parse("cards/cooloff", opt, CoolOffResponse)
return api_response.data
async def do_battle_and_heal(self, opponent_id: int, cards: CardsSelection) -> BattleResponse:
battle_result = await self.do_battle(opponent_id=opponent_id, cards=cards)
await self.heal_all(cards=cards)
return battle_result
async def do_battle(self, opponent_id: int, cards: CardsSelection) -> BattleResponse:
return await self.do_battle_with_options(
BattleRequest(
cards=new_int_array(cards.cards),
_cards_selection=cards,
hero_id=cards.hero_id,
opponent_id=opponent_id,
)
)
async def do_battle_with_options(self, opt: BattleRequest) -> BattleResponse:
await self.mut.acquire()
try:
resp = await self.__do_battle_with_options(opt)
self.mut.release()
return resp
except Exception as e:
# just don't forget to release the lock in case an exception occurs
# because it's going to become a headache later on.
self.mut.release()
raise e
async def __do_battle_with_options(self, opt: BattleRequest) -> BattleResponse:
if self.last_q_value:
opt.check = hash_q_string(self.last_q_value)
opt._cards_selection
api_response: APIResponse = await self.send_and_parse("battle/battle", opt, BattleResponse)
if isinstance(api_response.data, BattleResponse):
if api_response.data.q:
self.last_q_value = str(api_response.data.q)
return api_response.data
async def get_opponents_from_others(self, other_pass: str) -> GetOpponentsResponse:
return await self.get_opponents_with_options(GetOpponentsRequest(_other_pass=other_pass))
async def get_opponents(self) -> GetOpponentsResponse:
return await self.get_opponents_with_options(GetOpponentsRequest())
async def get_opponents_with_options(self, opt: GetOpponentsRequest) -> GetOpponentsResponse:
api_response: APIResponse = await self.send_and_parse("battle/getopponents", opt, GetOpponentsResponse)
return api_response.data
async def get_tribe_members(self) -> TribeMembersResponse:
return await self.get_tribe_members_with_options(TribeMembersRequest())
async def get_tribe_members_with_options(self, opt: TribeMembersRequest) -> TribeMembersResponse:
api_response: APIResponse = await self.send_and_parse("tribe/members", opt, TribeMembersResponse)
return api_response.data
async def player_comeback(self) -> bool:
return await self.player_comeback_with_options(PlayerComebackRequest())
async def player_comeback_with_options(self, opt: PlayerComebackRequest) -> bool:
opt.set_default_values()
api_response: APIResponse = await self.send_and_parse("player/comeback", opt, PlayerComebackResponse)
return api_response.status
async def fruits_json_export(self) -> LanguagePathResponse:
return await self.fruits_json_export_with_options(FruitJsonExportRequest())
async def fruits_json_export_with_options(self, opt: FruitJsonExportRequest) -> FruitExportContainer:
opt.set_default_values()
api_response: APIResponse = await self.send_and_parse("cards/fruitsjsonexport", opt, FruitExportContainer)
return api_response.data
async def get_language_patch(self) -> LanguagePathResponse:
return await self.get_language_patch_with_options(LanguagePatchRequest())
async def get_language_patch_with_options(self, opt: LanguagePatchRequest) -> LanguagePathResponse:
opt.set_default_values()
api_response: APIResponse = await self.send_and_parse("player/languagepatch", opt, LanguagePathResponse)
return api_response.data
async def get_error_messages(self) -> ErrorMessages:
return await self.get_error_messages_with_options(ErrorMessagesRequest())
async def get_error_messages_with_options(self, opt: ErrorMessagesRequest) -> ErrorMessages:
opt.set_default_values()
api_response: APIResponse = await self.send_and_parse("error/messages", opt, ErrorMessages)
return api_response.data
async def get_device_constants(self) -> DeviceConstants:
return await self.get_device_constants_with_options(DeviceConstantsRequest())
async def get_device_constants_with_options(self, opt: DeviceConstantsRequest) -> DeviceConstants:
opt.set_default_values()
api_response: APIResponse = await self.send_and_parse("device/constants", opt, DeviceConstants)
return api_response.data
async def do_quest(self, cards: CardsSelection) -> QuestResponse:
return await self.do_quest_with_options(
QuestRequest(
cards=new_int_array(cards.cards),
_cards_selection=cards,
hero_id=cards.hero_id,
)
)
async def do_quest_with_options_str(self, value: str) -> QuestResponse:
j_value = json.loads(value)
the_req = QuestRequest(**j_value)
return await self.do_quest_with_options(the_req)
async def do_quest_with_hash(self, the_hash: str, *cards) -> QuestResponse:
return await self.do_quest_with_options(
QuestRequest(
cards=new_int_array(list(cards)),
check=the_hash,
)
)
async def do_quest_with_options(self, opt: QuestRequest) -> QuestResponse:
await self.mut.acquire()
try:
resp = await self.__do_quest_with_options(opt)
self.mut.release()
return resp
except Exception as e:
# just don't forget to release the lock in case an exception occurs
# because it's going to become a headache later on.
self.mut.release()
raise e
async def __do_quest_with_options(self, opt: QuestRequest) -> QuestResponse:
if self.last_q_value:
opt.check = hash_q_string(self.last_q_value)
opt._cards_selection
api_response: APIResponse = await self.send_and_parse("battle/quest", opt, QuestResponse)
if isinstance(api_response.data, QuestResponse):
if api_response.data.q:
self.last_q_value = str(api_response.data.q)
return api_response.data
def get_strongest_cards(self) -> CardsSelection:
if not self.last_loaded_player:
raise Exception("No player loaded")
cards = choose_strongest_atk_ids(4, *self.last_loaded_player.cards)
if self.last_loaded_player.hero_id_set:
hero_id = choose_strongest_atk_id(*self.last_loaded_player.hero_id_set)
if hero_id:
cards.append(hero_id)
return CardsSelection(
cards=cards,
hero_id=hero_id,
)
def get_level1_card(self) -> CardsSelection:
final_card: AttackCardInfo = None
final_since: int = 0
for current in self.last_loaded_player.cards:
if current.power > 40:
continue
my_since = time.time() - current.internal_last_time_used
if my_since < 16:
continue
if not final_card:
final_card = current
continue
if my_since > final_since:
final_card = current
final_since = my_since
if not final_card:
return None
final_card.set_as_used()
return CardsSelection(
cards=[final_card.id],
no_heal=True,
)
def get_weakest_card(self) -> CardsSelection:
if not self.last_loaded_player:
raise Exception("No player loaded")
level1_selection = self.get_level1_card()
if level1_selection:
return level1_selection
target_card = self.last_loaded_player.cards[0]
for current_card in self.last_loaded_player.cards:
if current_card.power < target_card.power:
target_card = current_card
return CardsSelection(
cards=[target_card.id],
)
async def load_player(
self,
restore_key: str,
game_version: str = "",
uid: str = "",
os_type: int = 0,
os_version: str = "",
phone_model: str = "",
metrix_uid: str = "",
apps_flyer_uid: str = "",
device_name: str = "",
store_type: str = "",
) -> PlayerLoadResponse:
return await self.load_player_with_options(
PlayerLoadRequest(
game_version=game_version,
udid=uid,
os_type=os_type,
restore_key=restore_key,
os_version=os_version,
model=phone_model,
metrix_uid=metrix_uid,
appsflyer_uid=apps_flyer_uid,
device_name=device_name,
store_type=store_type,
)
)
async def load_player_with_options(self, opt: PlayerLoadRequest) -> PlayerLoadResponse:
await self.mut.acquire()
opt.set_default_values()
try:
self.login_options = opt
resp = await self.__load_player_with_options(opt)
self.mut.release()
return resp
except Exception as e:
# just don't forget to release the lock in case an exception occurs
# because it's going to become a headache later on.
self.mut.release()
raise e
"""
Unsafe way of loading the player, please use the `load_player_with_options` method instead.
"""
async def __load_player_with_options(self, opt: PlayerLoadRequest) -> PlayerLoadResponse:
current_tries = 0
while True:
api_response: APIResponse = await self.send_and_parse(
"player/load", opt, PlayerLoadResponse, no_err_handling=True)
if api_response.data != None and self.is_sim_err_code(getattr(api_response.data, "code", None)):
if current_tries > self._max_login_tries:
raise PlayerLoadException("Max login tries reached", api_response.data)
sleep_amount: int = self._error_codes_to_sleep[getattr(api_response.data, "code")]
self.logger.warning("player/load: sleeping for %i seconds", sleep_amount)
await asyncio.sleep(sleep_amount)
current_tries += 1
# this might actually fix it.
try:
await self.player_comeback()
except: pass
continue
break
load_response = api_response.data
if not isinstance(load_response, PlayerLoadResponse):
raise PlayerLoadException("Unknown error occurred", api_response.data)
self.login_options = opt
self.last_q_value = str(load_response.q)
self.last_loaded_player = load_response
return load_response
def is_sim_err_code(self, value: int) -> bool:
if not value or not isinstance(value, int):
return False
return value in self._error_codes_to_sleep
def set_login_options_str(self, value: str) -> PlayerLoadRequest:
j_value = json.loads(value)
load_req: PlayerLoadRequest = PlayerLoadRequest(**j_value)
self.set_login_options(load_req)
return load_req
def set_login_options(self, login_options: PlayerLoadRequest) -> None:
self.login_options = login_options
def set_as_load_response(self, value: str) -> PlayerLoadResponse:
j_value = json.loads(value)
if not j_value or not j_value['status']:
raise UnknownError(f"Unknown error occurred", value)
loaded_response: PlayerLoadResponse = PlayerLoadResponse(**j_value['data'])
self.set_as_player_loaded_value(loaded_response)
return loaded_response
def set_as_player_loaded_value(self, loaded_value: PlayerLoadResponse):
self.last_loaded_player = loaded_value
async def get_error_by_code(self, req_path: str, error_code: int, response: str = None) -> Exception:
if not self.cached_errors:
self.cached_errors = await self.get_error_messages()
return FruitServerException(
req_path=req_path,
error_code=error_code,
message=self.cached_errors[str(error_code)],
response=response
)
async def send_and_parse(
self,
req_path: str,
req_data: DScaffold,
return_type: type = None,
no_err_handling: bool = False
) -> APIResponse:
serialized_data = req_data.get_serialized(self._serialize_key)
parser_method = getattr(req_data, 'parse_response', None)
if not return_type and not parser_method:
return None
target_pass = getattr(req_data, "_other_pass", None)
if not target_pass:
target_pass = self.passport
respond_bytes = await self.invoke_request(path=req_path, data=serialized_data, the_pass=target_pass)
if parser_method and inspect.ismethod(parser_method):
return parser_method(respond_bytes)
if self.log_before_resp_parsing:
print(f"Response: {respond_bytes}")
the_err = None
respond_decrypted = xor_decrypt(respond_bytes)
j_value = json.loads(respond_decrypted)
if not j_value or not j_value['status']:
if j_value['data']['code'] != 0:
the_err = await self.get_error_by_code(
req_path=req_data,
error_code=j_value['data']['code'],
response=respond_bytes,
)
if not no_err_handling and isinstance(the_err, Exception):
raise the_err
if not no_err_handling:
raise UnknownError(f"Unknown error occurred for {req_path}", respond_bytes)
api_response: APIResponse = APIResponse(j_value)
api_response.the_err = the_err
response_data = j_value['data']
if return_type:
api_response.data = return_type(**response_data)
return api_response
async def invoke_request(self, path: str, data: str, the_pass: str) -> bytes:
data_value = f'edata={data}'.encode('utf-8')
headers = {
'Content-Type': 'application/x-www-form-urlencoded; charset=UTF-8',
'Content-Length': str(len(data_value)),
'User-Agent': 'Dalvik/2.1.0 (Linux; U; Android 7.1.2; google Pixel 2 Build/LMY47I)',
'Host': 'iran.fruitcraft.ir'
}
if the_pass == "":
the_pass = self.passport
if the_pass != "" and the_pass != "none" and the_pass != "null":
headers['Cookie'] = f"\u0046\u0052\u0055\u0049\u0054\u0050\u0041\u0053\u0053\u0050\u004f\u0052\u0054={the_pass};"
response = await self.http_client.post(f"{self._default_url}/{path}", data=data_value, headers=headers)
response.raise_for_status()
return response.content
async def aclose(self):
try:
return await self.http_client.aclose()
except: pass
@staticmethod
def generate_passport() -> str:
return ''.join(random.choices("abcdef0123456789", k=_MAX_PASSPORT_LENGTH))
" this is the main script of the game, i want to somehow add a multiplier to gold value
|
66a0f17c6ff4c0c2228debd00d58d3e5
|
{
"intermediate": 0.2930945158004761,
"beginner": 0.4855792820453644,
"expert": 0.22132621705532074
}
|
39,826
|
Here is my code. I'm trying to get (rf/dispatch [::set-words-and-letters word-collection]) to work. I'm working with re-frame through shadowcljs.
(ns spelling-bee.core
(:require
[re-frame.core :as rf]
[reagent.dom :as rdom]
[spelling-bee.config :as config]
[spelling-bee.events :as events]
[spelling-bee.views :as views]))
(defn dev-setup []
(when config/debug?
(println "dev mode")))
(defn ^:dev/after-load mount-root []
(rf/clear-subscription-cache!)
(let [root-el (.getElementById js/document "app")]
(rdom/unmount-component-at-node root-el)
(rdom/render [views/main-panel] root-el)))
(defn init []
(rf/dispatch-sync [::events/initialize-db])
(dev-setup)
(mount-root))
(ns spelling-bee.db)
(def default-db
{:name "default"
:words #{}
:common-letter #{}
:letters #{}})
(ns spelling-bee.views
(:require
[re-frame.core :as rf]
[spelling-bee.subs :as subs]))
;; Later this can be substituted with a database call to pull a list of words.
(def word-collection #{"babyproof" "afar" "affray"
"afro" "arbor" "array"
"arroyo" "barb" "barf"
"boar" "boor" "bray"
"farro" "fora" "foray"
"fray" "parry" "poor"
"pray" "proof" "prop"
"pyro" "roar" "roof"
"ropy"})
(rf/dispatch [::set-words-and-letters word-collection])
(defn main-panel []
(let [name (rf/subscribe [::subs/name])
words (rf/subscribe [::subs/words])]
[:div
[:h1
"Hello from " @name]
[:h2
"Here are the words you have found:"]
[:p "test: here are the words: " @words]
]))
(ns spelling-bee.subs
(:require
[re-frame.core :as rf]))
(rf/reg-sub
::name
(fn [db]
(:name db)))
(rf/reg-sub
::words
(fn [db]
(:words db)))
(ns spelling-bee.events
(:require
[clojure.set :as set]
[clojure.string :as str]
[re-frame.core :as rf]
[spelling-bee.db :as db]
))
(defn get-unique-letter-collection [word-set]
(-> word-set
vec
str/join
seq
set))
(defn find-common-letter [word-set]
(reduce
set/intersection
(map set (seq word-set))))
(rf/reg-event-db
::initialize-db
(fn [_ _]
db/default-db))
(rf/reg-event-db ::set-words-and-letters
(fn [db [_ word-set]]
(assoc db :words word-set
:common-letter (find-common-letter word-set)
:letters (get-unique-letter-collection word-set))))
|
f36efa92ba42e6473ba63e439ec64d22
|
{
"intermediate": 0.4190180003643036,
"beginner": 0.46284937858581543,
"expert": 0.11813262104988098
}
|
39,827
|
Я написал этот код для разделения звуковой дорожки на колоса и фоновый шум:
|
154cc974661b5f30f0ee928270eb0a06
|
{
"intermediate": 0.28946197032928467,
"beginner": 0.2784784138202667,
"expert": 0.4320596158504486
}
|
39,828
|
Я написал этот код для разделения звуковой дорожки на колоса и фоновый шум:
|
2ac2eaf266d7df41016b76781d136089
|
{
"intermediate": 0.28946197032928467,
"beginner": 0.2784784138202667,
"expert": 0.4320596158504486
}
|
39,829
|
Where to set setsockopt for it to go into effect?
|
6fe40cffcc24f22c77ff748bfba1f421
|
{
"intermediate": 0.4165636897087097,
"beginner": 0.16315342485904694,
"expert": 0.42028290033340454
}
|
39,830
|
Write function on C which transforms ushort to int16
|
d667b63e24b970bcd5fd897f6087e270
|
{
"intermediate": 0.2608357071876526,
"beginner": 0.4473310112953186,
"expert": 0.2918332815170288
}
|
39,831
|
I want to learn something new which is easy and helpful to be consistent
|
9a0a951837ce8bab6eb066059cc26181
|
{
"intermediate": 0.3833266496658325,
"beginner": 0.26621976494789124,
"expert": 0.35045358538627625
}
|
39,832
|
How to set setsockopt SO_LINGER option correctly on OpenBSD?
|
7855d14c2bad1789dd43c992f77afcfb
|
{
"intermediate": 0.4615921080112457,
"beginner": 0.19472837448120117,
"expert": 0.3436795473098755
}
|
39,833
|
the probability that a sick person will releave from a rare disease is 0.4 and 100 have it , what's the probability that less than 30 people will releave from it
|
b669ae4e4278abd5167099c6daa8d8c6
|
{
"intermediate": 0.3767048120498657,
"beginner": 0.23911480605602264,
"expert": 0.38418036699295044
}
|
39,834
|
You are an accessibility expert. You also have knowledge about governance and can independently create strategies and solutions based on the problem statement. I am setting up Accessibility Centre of Excellence (ACoE) for an organization. If a project team approaches to ACoE stating that they want to release their product but there are some accessibility defects (both Critical and High severity) that cannot be fixed either because of less time or because those accessibility defects are difficult to resolve in the given amount of time, then can seek what we call as "Accessibility deferment". Also, there may be some extraordinary circumstances where there could be critical business justification that prevents achieving accessibility conformance. In this scenario project teams can seek deferment that allows for a temporary delay of achieving full accessibility compliance. Accessibility deferment addresses exception cases where immediate compliance is unfeasible.
Here are some details on when to consider, when it is not needed and when it is not acceptable to use deferment:
When to consider deferment:
Deferment should only be considered when:
• Technical limitations: Technical limitations of existing technology prevent immediate compliance. This allows time to research, adopt, or develop technologies that are more compatible with accessibility standards, ensuring long-term compliance.
• Legal or regulatory conflict: Legal or regulatory requirements temporarily conflict with accessibility goals. This provides time to negotiate, adapt, or lobby for adjustment to regulations to align them with accessibility goals.
• Changed standards/practices: Project was already underway before the establishment of an Accessibility Centre of Excellence or accessibility framework. This allows for a phased integration of accessibility into an existing project, acknowledging that it may not have been an initial consideration.
• Third-party dependency: When there is a dependency on any third party and/or vendor-delivered component which is not accessibility compliant and there is no set duration defined for that component to be made accessible.
When a deferment is not needed:
An accessibility deferment is not needed in the following circumstances:
• The product has no human-facing interface.
• The product is special-purpose software that will be used by few individuals, none of whom have an identified disability that will be adversely affected by product accessibility issues.
• The product is for use internally by a research team where no members of the team have an identified disability that will be adversely affected by product accessibility issues.
Note: When a deferment is considered unnecessary for reasons such as those outlined earlier, it is imperative that such determinations be made in consultation with the Accessibility Centre of Excellence and a record made of this.
When it is not acceptable to use a deferment
• Lack of genuine effort: Deferment should always be coupled with a genuine and unwavering commitment to ensuring accessibility for all and should not be used as an excuse for a lack of effort.
• Budgetary convenience: It is not acceptable to defer due to budget convenience alone.
• Convenience over inclusion: Prioritizing convenience over inclusion is unacceptable when accessibility can be feasibly implemented. For instance, if a website’s design team opts for trendy but low-contrast color schemes to maintain aesthetics (while aware that this creates readability issues for users with visual impairments), it exemplifies prioritizing convenience over inclusion.
• Recurring or preventable issues: Seeking deferment for recurring or preventable issues is counterproductive to the pursuit of accessibility excellence. For instance, consider a recurring color contrast issue where a team consistently encounters difficulties in achieving proper color contrast. This could indicate that they aren’t effectively integrating accessibility learnings into their development process.
• No clear plan for resolution: The absence of a clear plan for barrier resolution is deemed unacceptable, especially when barriers to accessibility are identified within a project.
Now based on above information, I am going to ask you some questions and you have to provide me answers. If you understand the above context, reply with "Please continue".
|
9f6095c9f878443c9efec88d7f89aa12
|
{
"intermediate": 0.39425623416900635,
"beginner": 0.3359200060367584,
"expert": 0.26982375979423523
}
|
39,835
|
Checking SMB User/Password Local Connection refused ossim
|
91cd8b67045c4b2b6099fc94984b1e6e
|
{
"intermediate": 0.29381367564201355,
"beginner": 0.3643140494823456,
"expert": 0.34187227487564087
}
|
39,836
|
<div class="child-component">
<button class="save" @click="saveForm" />
</div>
isValid = false
saveForm() {
this.isValid = true
this.$emit("isValid")
}
родительский компонент
<div class="parent-component">
<ChildComponent @isValid="isValid" />
<button class="default" :disabled="isValid=true"
</div>
как правильно передать isValid в родительский компонент, чтобы button class="default" отображался при isValid = true
|
4de92b7dc6f292ed8b60bd5f40af0978
|
{
"intermediate": 0.42897799611091614,
"beginner": 0.3539312183856964,
"expert": 0.21709075570106506
}
|
39,837
|
Ramesh, a doctor in Hyderabad, wants to evaluate the performance metrics of the breast cancer dataset from
the sklearn package using the following machine learning algorithms:
1. Ada Boost
2. XG Boost
3. Random Forest
4. Decision Tree
Performance metrics: accuracy, classification report, precision score, recall score and f1 score. Visualize all the
confusion matrices using matplotlib with subplot.
(Hint: from sklearn.datasets import load_breast_cancer)
give me python program with all visual plots required with correct outputs without errors.
|
7a3c784055541933ddc9777aca3e360c
|
{
"intermediate": 0.1591343730688095,
"beginner": 0.04874660447239876,
"expert": 0.792119026184082
}
|
39,838
|
HI, I currently have a javascript code that forwards the incoming data to my api if the incoming data contains a url. I want all the same functionality repeated if a specific string is present in the url. Can you help with that?
|
4ad1260ca82c1685b02c539be77a8a83
|
{
"intermediate": 0.5800473690032959,
"beginner": 0.24138063192367554,
"expert": 0.1785718947649002
}
|
39,839
|
In my React code I have a typescript problem that needs to be solved. Here is the code in question:
<NavLink title="Чат" to={EReactRouterPaths.CHAT}>
{getItem('', 1, Chat)}
</NavLink>
const getItem = getRenderItemFunction(getLableWithIcon);
export const getRenderItemFunction = (children: React.FC): TRenderFunction => {
return (label, key, Icon): TItemRender => {
const Item: React.FC<IItemRenderStyledProps> = ({
isActive,
}): JSX.Element => <div>{children({ label, key, isActive, Icon })} </div>;
Item.displayName = 'Item';
return Item;
};
};
export type TItemRender = (prop: ILinkLabel) => React.ReactNode;
export type TRenderFunction = (
label: string,
key: number,
Icon?: { (props: IIconProps) }
) => TItemRender;
const getLableWithIcon = (props: ILinkLabel): JSX.Element => {
const { isActive, key, Icon } = props;
return (
<SWrapItemBar key={key} active={isActive}>
<Icon fill={theme.transparentNight[90]} />
</SWrapItemBar>
);
};
declare const Chat: React.FC<IIconProps>;
export interface IIconProps {
/** Задает цвет иконки */
fill?: string;
/** Задает второстепенный цвет иконки */
secondaryColor?: string;
/** Задает размер иконки
* если <= 1 то задается в процентах (например 0,5 - 50%)
* @default 24 */
size?: number;
/** Задает viewBox
* @default "0 0 24 24" */
viewBox?: string;
/** Задает дополнительные классы для компонента */
className?: string;
/** Задает дополнительные стили для компонента */
style?: CSSProperties;
children?: ReactNode;
}
The typeScript error I get is: Type 'TItemRender' is not assignable to type 'ReactNode | ((props: NavLinkRenderProps) => ReactNode)'.
|
b395287751d1b9f32e536bebf5bcca44
|
{
"intermediate": 0.19722293317317963,
"beginner": 0.6385106444358826,
"expert": 0.1642664223909378
}
|
39,840
|
import pandas as pd
2
from sklearn.metrics import accuracy_score
3
4
data = pd.read_csv('/datasets/travel_insurance_preprocessed.csv')
5
6
target = data['Claim']
7
features = data.drop('Claim', axis=1)
|
42073e73da29688203f415ada679eba7
|
{
"intermediate": 0.4211040735244751,
"beginner": 0.2269923985004425,
"expert": 0.3519035279750824
}
|
39,841
|
Создайте константную модель: любому объекту она прогнозирует класс «0». Сохраните её предсказания в переменной target_pred_constant.
Напечатайте на экране значение accuracy.
import pandas as pd
2
from sklearn.metrics import accuracy_score
3
4
data = pd.read_csv('/datasets/travel_insurance_preprocessed.csv')
5
6
target = data['Claim']
7
features = data.drop('Claim', axis=1)
|
c4cfb4371c7c70455f73fb5baf800e86
|
{
"intermediate": 0.3744699954986572,
"beginner": 0.2720237672328949,
"expert": 0.3535062074661255
}
|
39,842
|
pages that arent "/" dont seem to show the motion.div with the transtitionDelay import { motion } from "framer-motion";
import { useState, useEffect } from "react";
import { useRouter } from "next/router";
import ParticlesContainer from "./ParticlesContainer";
import { useGlobe } from '../components/globe/globeContext';
const Transition = () => {
const [isLoaded, setIsLoaded] = useState(false);
const router = useRouter();
const { globeReady } = useGlobe();
const baseDelay = router.pathname === '/' ? 0 : 0.2;
const transitionVariants = {
initial: {
x: "100%",
width: "100%",
},
animate: {
x: "0%",
width: "0%",
},
exit: {
x: ["0%", "100%"],
width: ["0%", "100%"],
},
};
useEffect(() => {
// If we're on the homepage and globe is ready, set loaded to true
if (router.pathname === '/' && globeReady) {
setIsLoaded(true);
} else if(router.pathname!== '/') {
setIsLoaded(true);
}
}, [globeReady, router.pathname]);
const transitionDelay = globeReady ? baseDelay : Infinity;
return (
<>
{!isLoaded && (
<motion.div
role="status"
className="fixed top-0 bottom-0 right-full w-screen h-screen z-30 bg-[#2e2257]"
variants={transitionVariants}
initial="initial"
animate="animate"
exit="exit"
transition={{ delay: transitionDelay, duration: 0.6, ease: "easeInOut" }}
aria-hidden="true"
>
<motion.img
src="/logo.svg"
alt="Descriptive text"
style={{
position: 'absolute',
top: '50%',
left: '50%',
transform: 'translate(-50%, -50%)',
width: '500px',
height: '500px'
}}
/>
<ParticlesContainer />
</motion.div>
)}
<motion.div
role="status"
className="fixed top-0 bottom-0 right-full w-screen h-screen z-20 bg-[#3b2d71]"
variants={transitionVariants}
initial="initial"
animate="animate"
exit="exit"
transition={{ delay: 0.4, duration: 0.6, ease: "easeInOut" }}
aria-hidden
/>
<motion.div
role="status"
className="fixed top-0 bottom-0 right-full w-screen h-screen z-10 bg-[#4b3792]"
variants={transitionVariants}
initial="initial"
animate="animate"
exit="exit"
transition={{ delay: 0.6, duration: 0.6, ease: "easeInOut" }}
aria-hidden
/>
</>
);
};
export default Transition;
|
ca6d87d6e4196ff7452ecd85c26e9f4b
|
{
"intermediate": 0.3715779781341553,
"beginner": 0.4960270822048187,
"expert": 0.1323949545621872
}
|
39,843
|
что это?
serializeNulls:false,factories:[Factory[typeHierarchy=com.google.gson.JsonElement,adapter=com.google.gson.internal.bind.TypeAdapters$28@520e81bd], com.google.gson.internal.bind.ObjectTypeAdapter$1@73b261ed, com.google.gson.internal.Excluder@3833a2e0, Factory[type=java.util.Date,adapter=DefaultDateTypeAdapter(yyyy-MM-dd'T'HH:mm:ss.SSSZ)], Factory[type=java.sql.Timestamp,adapter=DefaultDateTypeAdapter(yyyy-MM-dd'T'HH:mm:ss.SSSZ)], Factory[type=java.sql.Date,adapter=DefaultDateTypeAdapter(yyyy-MM-dd'T'HH:mm:ss.SSSZ)], Factory[type=java.lang.String,adapter=com.google.gson.internal.bind.TypeAdapters$15@561e7428], Factory[type=java.lang.Integer+int,adapter=com.google.gson.internal.bind.TypeAdapters$7@3643da0f], Factory[type=java.lang.Boolean+boolean,adapter=com.google.gson.internal.bind.TypeAdapters$3@13c25a85], Factory[type=java.lang.Byte+byte,adapter=com.google.gson.internal.bind.TypeAdapters$5@3bd6acde], Factory[type=java.lang.Short+short,adapter=com.google.gson.internal.bind.TypeAdapters$6@1e4c30b8], Factory[type=java.lang.Long+long,adapter=com.google.gson.internal.bind.TypeAdapters$11@36f712dc], Factory[type=java.lang.Double+double,adapter=com.google.gson.Gson$1@1cd2163d], Factory[type=java.lang.Float+float,adapter=com.google.gson.Gson$2@539b111a], com.google.gson.internal.bind.NumberTypeAdapter$1@46e8b4e8, Factory[type=java.util.concurrent.atomic.AtomicInteger,adapter=com.google.gson.TypeAdapter$1@48873f1b], Factory[type=java.util.concurrent.atomic.AtomicBoolean,adapter=com.google.gson.TypeAdapter$1@7cd48936], Factory[type=java.util.concurrent.atomic.AtomicLong,adapter=com.google.gson.TypeAdapter$1@71aa451f], Factory[type=java.util.concurrent.atomic.AtomicLongArray,adapter=com.google.gson.TypeAdapter$1@50bd200c], Factory[type=java.util.concurrent.atomic.AtomicIntegerArray,adapter=com.google.gson.TypeAdapter$1@43d17dfc],
|
aaba406fc0e173449d3403f5bb2b910e
|
{
"intermediate": 0.4036886990070343,
"beginner": 0.3184056282043457,
"expert": 0.2779056429862976
}
|
39,844
|
I have this urls.py in django rest:
urlpatterns = [
path('security-hub-controls-by-account/', security_hub_controls_by_account_view,
name='security_hub_controls_by_account_view'),
]
And this view:
def security_hub_controls_by_account_view(request):
return Response(SecurityHubControlsByAccountSerializer(security_hub_controls_by_account_data(), many=True).data)
How can I add an option to filter by account id by passing it as url parameter?
|
930503e3fba777f0c593dc0268540451
|
{
"intermediate": 0.6891260743141174,
"beginner": 0.16462816298007965,
"expert": 0.1462457776069641
}
|
39,845
|
I'm having some issues updating my re-frame database. Here is my code.
(ns spelling-bee.core
(:require
[re-frame.core :as rf]
[reagent.dom :as rdom]
[spelling-bee.config :as config]
[spelling-bee.events :as events]
[spelling-bee.views :as views]))
(defn dev-setup []
(when config/debug?
(println "dev mode")))
(defn ^:dev/after-load mount-root []
(rf/clear-subscription-cache!)
(let [root-el (.getElementById js/document "app")]
(rdom/unmount-component-at-node root-el)
(rdom/render [views/main-panel] root-el)))
(defn init []
(rf/dispatch-sync [::events/initialize-db])
(dev-setup)
(mount-root))
(ns spelling-bee.db)
(def default-db
{:words #{}
:common-letter #{}
:letters #{}})
(ns spelling-bee.views
(:require
[re-frame.core :as rf]
[spelling-bee.subs :as subs]))
;; Later this can be substituted with a database call to pull a list of words.
(def word-collection #{"babyproof" "afar" "affray"
"afro" "arbor" "array"
"arroyo" "barb" "barf"
"boar" "boor" "bray"
"farro" "fora" "foray"
"fray" "parry" "poor"
"pray" "proof" "prop"
"pyro" "roar" "roof"
"ropy"})
(rf/dispatch [::set-words-and-collections word-collection])
(defn main-panel []
(let [name (rf/subscribe [::subs/name])
words (rf/subscribe [::subs/words])]
[:div
[:h1
"Hello from " @name]
[:h2
"Here are the words you have found:"]
[:p "test: here are the words: " @words]
]))
(ns spelling-bee.subs
(:require
[re-frame.core :as rf]))
(rf/reg-sub
::name
(fn [db]
(:name db)))
(rf/reg-sub
::words
(fn [db]
(:words db)))
(ns spelling-bee.events
(:require
[clojure.set :as set]
[clojure.string :as str]
[re-frame.core :as rf]
[spelling-bee.db :as db]
[spelling-bee.subs :as subs]
))
(defn get-unique-letter-collection [word-set]
(-> word-set
vec
str/join
seq
set))
(defn find-common-letter [word-set]
(reduce
set/intersection
(map set (seq word-set))))
(rf/reg-event-db
::initialize-db
(fn [_ _]
db/default-db))
;; (rf/reg-event-db ::set-words
;; (fn [db [_ word-coll]]
;; (assoc db :words @word-coll)))
;; (rf/reg-event-db ::set-letter-collections
;; (fn [db _]
;; (let [word-coll (rf/subscribe [::subs/words])]
;; (assoc db :common-letter (find-common-letter @word-coll) :letters (get-letter-collection @word-coll)))))
(rf/reg-event-db ::set-words-and-collections
(fn [db [_ word-set]]
(assoc db :words word-set
:common-letter (find-common-letter word-set)
:letters (get-unique-letter-collection word-set))))
|
1472e558541594cacaac58b382883030
|
{
"intermediate": 0.4443172812461853,
"beginner": 0.3696945607662201,
"expert": 0.18598812818527222
}
|
39,846
|
Simplify and optimize this python code:
if aws_account_id:
cursor.execute(
"SELECT ashc.aws_account_id, COUNT(CASE WHEN ashc.status = 'FAILED' THEN 1 END) AS failed_controls, COUNT(CASE WHEN ashc.status = 'PASSED' THEN 1 END) AS passed_controls FROM aws_securityhub_controls ashc WHERE aws_account_id = %s GROUP BY ashc.aws_account_id;", (aws_account_id,))
result = cursor.fetchone()
data = {'aws_account_id': result[0], 'failed_controls': result[1], 'passed_controls': result[2]}
else:
cursor.execute(
"SELECT ashc.aws_account_id, COUNT(CASE WHEN ashc.status = 'FAILED' THEN 1 END) AS failed_controls, COUNT(CASE WHEN ashc.status = 'PASSED' THEN 1 END) AS passed_controls FROM aws_securityhub_controls ashc GROUP BY ashc.aws_account_id;")
result = cursor.fetchall()
data = []
for item in result:
data.append({'aws_account_id': item[0], 'failed_controls': item[1], 'passed_controls': item[2]})
|
afe6a5098627128f78f586f63862b516
|
{
"intermediate": 0.3540603816509247,
"beginner": 0.26252055168151855,
"expert": 0.38341909646987915
}
|
39,847
|
!rm -rf ~/tmp/tmp && mkdir -p /tmp/controlnet
%cd -q ~/stable-diffusion-webui/extensions/sd-webui-controlnet/models
#!wget https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11e_sd15_ip2p_fp16.safetensors
#!wget https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11e_sd15_ip2p_fp16.yaml
#!wget https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11e_sd15_shuffle_fp16.safetensors
#!wget https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11e_sd15_shuffle_fp16.yaml
!wget https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_canny_fp16.safetensors
!wget https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_canny_fp16.yaml
!wget https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11f1p_sd15_depth_fp16.safetensors
!wget https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11f1p_sd15_depth_fp16.yaml
!wget https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_inpaint_fp16.safetensors
!wget https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_inpaint_fp16.yaml
!wget https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_lineart_fp16.safetensors
!wget https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_lineart_fp16.yaml
#!wget https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_mlsd_fp16.safetensors
#!wget https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_mlsd_fp16.yaml
!wget https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_normalbae_fp16.safetensors
!wget https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_normalbae_fp16.yaml
!wget https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_openpose_fp16.safetensors
!wget https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_openpose_fp16.yaml
#!wget https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_scribble_fp16.safetensors
#!wget https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_scribble_fp16.yaml
#!wget https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_seg_fp16.safetensors
#!wget https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_seg_fp16.yaml
#!wget https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_softedge_fp16.safetensors
#!wget https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_softedge_fp16.yaml
#!wget https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15s2_lineart_anime_fp16.safetensors
#!wget https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15s2_lineart_anime_fp16.yaml
!wget https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11f1e_sd15_tile_fp16.safetensors
!wget https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11f1e_sd15_tile_fp16.yaml
!wget https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/sai_xl_canny_256lora.safetensors
!wget https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/sai_xl_depth_256lora.safetensors
!wget https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter-full-face_sd15.safetensors
!wget https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter-plus-face_sd15.safetensors
!wget https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter-plus_sd15.safetensors
!wget https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter_sd15.safetensors
!wget https://huggingface.co/h94/IP-Adapter/resolve/main/sdxl_models/ip-adapter-plus_sdxl_vit-h.safetensors
!wget https://huggingface.co/h94/IP-Adapter/resolve/main/sdxl_models/ip-adapter-plus-face_sdxl_vit-h.safetensors
!wget https://huggingface.co/hr16/ControlNet-HandRefiner-pruned/resolve/main/control_sd15_inpaint_depth_hand_fp16.safetensors
!wget https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid-plus_sd15.bin
!wget https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid-plusv2_sd15.bin
!wget https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid-plusv2_sdxl.bin
!wget https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid-portrait_sd15.bin
!wget -O ip-adapter_instant_id_sdxl.bin https://huggingface.co/InstantX/InstantID/resolve/main/ip-adapter.bin
!wget -O control_instant_id_sdxl.safetensors https://huggingface.co/InstantX/InstantID/resolve/main/ControlNetModel/diffusion_pytorch_model.safetensors
-------------
this is a code that download certain models in jupyter. but because its too hard for me to select which models to download. so can you write he program in a way when i run the cell i can check indivitual models to download.
|
6992331a4978501351007eedd6eb8079
|
{
"intermediate": 0.3242111802101135,
"beginner": 0.3812256455421448,
"expert": 0.2945631444454193
}
|
39,848
|
Make a batch file taking 2 input parameters. The first parameter has to be a full path to an executable "haha.exe". Test that it is not empty and that the filename is "haha.exe" and that the file exists on disk. If test fails, display messsage "wrong" and exit.
|
cc6e6e5ecaef84404e3c18c49bf2bdc7
|
{
"intermediate": 0.48826736211776733,
"beginner": 0.18606382608413696,
"expert": 0.3256687521934509
}
|
39,849
|
@import url('https://fonts.googleapis.com/css2?family=Poppins&display=swap');
* {
margin: 0;
padding: 0;
box-sizing: border-box;
font-family: "Poppins", sans-serif;
}
#content {
max-width: 800px;
margin: 0 auto;
padding: 1rem;
background-color: grey;
}
#textfields {
display: flex;
flex-direction: column;
gap: 1.5rem;
}
#textfields .label-input {
display: flex;
flex-direction: column;
}
#textfields .label-select {
display: flex;
justify-content: space-between;
}
.label-radios {
display: flex;
justify-content: space-between;
}
.radio {
display: flex;
}
.buttons {
display: flex;
justify-content: space-between;
}
.option_tireur {
display: none;
}
#club {
display: flex;
}
#categories {
display: flex;
justify-content: space-between;
}
#classement-tireur {
display: flex;
justify-content: space-between;
}
.buttons button:first-child {
background: linear-gradient(0deg, #D32C2C 0%, #D32C2C 100%), lightgray 50% / cover no-repeat;
}
.buttons button:last-child {
background: linear-gradient(0deg, #01437C 0%, #01437C 100%), lightgray 50% / cover no-repeat;
}
#title {
background-color: #01437C;
color: white;
font-weight: 400;
width: 100%;
}
pourquoi mes éléments sont centrés ?
|
e63f5d22a4afbf2a89bd713559e43b14
|
{
"intermediate": 0.29570990800857544,
"beginner": 0.5110054612159729,
"expert": 0.19328466057777405
}
|
39,850
|
If it possible to make a conditional compilation in C with checking a defined macros?
|
ee42a96ba35d749c685d14bf54771f77
|
{
"intermediate": 0.41137638688087463,
"beginner": 0.2573968470096588,
"expert": 0.33122682571411133
}
|
39,851
|
Как мне сделать чтобы кнопка была круглой?
public class CloseButton : Control
{
private StringFormat SF = new StringFormat();
private bool MouseEntered = false;
private bool MousePressed = false;
public CloseButton()
{
SetStyle(ControlStyles.AllPaintingInWmPaint | ControlStyles.OptimizedDoubleBuffer | ControlStyles.ResizeRedraw | ControlStyles.SupportsTransparentBackColor | ControlStyles.UserPaint, true);
DoubleBuffered = true;
Size = new Size(24,24);
BackColor = Color.Tomato;
SF.Alignment = StringAlignment.Center;
SF.LineAlignment = StringAlignment.Center;
}
protected override void OnPaint(PaintEventArgs e)
{
base.OnPaint(e);
Graphics graphics = e.Graphics;
graphics.SmoothingMode = SmoothingMode.HighQuality;
graphics.Clear(Parent.BackColor);
Rectangle rectangle = new Rectangle(0, 0, Width -1, Height -1);
graphics.DrawRectangle(new Pen(BackColor), rectangle);
graphics.FillRectangle(new SolidBrush(BackColor), rectangle);
if(MouseEntered)
{
graphics.DrawRectangle(new Pen(Color.FromArgb(60, Color.White)), rectangle);
graphics.FillRectangle(new SolidBrush(Color.FromArgb(60, Color.White)), rectangle);
}
if(MousePressed)
{
graphics.DrawRectangle(new Pen(Color.FromArgb(30, Color.Black)), rectangle);
graphics.FillRectangle(new SolidBrush(Color.FromArgb(30, Color.Black)), rectangle);
}
graphics.DrawString(Text, Font, new SolidBrush(ForeColor), rectangle, SF);
}
protected override void OnMouseEnter(EventArgs e)
{
base.OnMouseEnter(e);
MouseEntered = true;
Invalidate();
}
protected override void OnMouseLeave(EventArgs e)
{
base.OnMouseLeave(e);
MouseEntered = false;
Invalidate();
}
protected override void OnMouseDown(MouseEventArgs e)
{
base.OnMouseDown(e);
MousePressed = true;
Invalidate();
}
protected override void OnMouseUp(MouseEventArgs e)
{
base.OnMouseUp(e);
MousePressed = false;
Invalidate();
}
}
|
9b2fcce02d704e667f3e52765ddad35b
|
{
"intermediate": 0.2952982783317566,
"beginner": 0.3806498050689697,
"expert": 0.3240518867969513
}
|
39,852
|
Here is my ClojureScript code running with re-frame and shadow-cljs. Currently, the submit word button is not functioning properly. Can you help me fix the problem?
(ns spelling-bee.core
(:require
[clojure.set :as set]
[clojure.string :as str]
[re-frame.core :as rf]
[reagent.dom :as rdom]
[clojure.string :as string]))
(def debug?
^boolean goog.DEBUG)
;---------- our app state atom ----------
(def default-db
{:name "default"
:words #{}
:common-letter #{}
:letters #{}
:found-words #{}
:current-input ""
:message ""})
;---------- various functions ----------
;; Later this can be substituted with a database call to pull a list of words.
(def word-collection #{"babyproof" "afar" "affray"
"afro" "arbor" "array"
"arroyo" "barb" "barf"
"boar" "boor" "bray"
"farro" "fora" "foray"
"fray" "parry" "poor"
"pray" "proof" "prop"
"pyro" "roar" "roof"
"ropy"})
(defn get-unique-letter-collection [word-set]
(-> word-set
vec
str/join
seq
set))
(defn find-common-letter [word-set]
(reduce
set/intersection
(map set (seq word-set))))
(defn word-validity-case [word letters common-letter]
(cond
(contains? word-collection word) :submit-ok ; first check if the word is in the word-collection
(< 4 (count (seq word))) :too-short ; check length, notify if less than 3 letters
(not (every? letters (set word))) :invalid ; check if every letter in the word is in letters set
(contains? (set word) common-letter) :not-in-list ; then check if the word at least contains common letter
:else :no-common)) ; if it does not contain the common letter
(defn point-formula [word letters]
(cond
(= (get-unique-letter-collection word) (letters)) (+ (count (seq word)) 7)
(= (count (seq word)) 4) (int 1)
:else (count (seq word))))
;---------- subscriptions to data from app state ----------
(rf/reg-sub
::name
(fn [db]
(:name db)))
(rf/reg-sub
::words
(fn [db]
(:words db)))
(rf/reg-sub
::found-words
(fn [db]
(:found-words db)))
(rf/reg-sub
::common-letter
(fn [db]
(:common-letter db)))
(rf/reg-sub
::letters
(fn [db]
(:letters db)))
(rf/reg-sub
::current-input
(fn [db]
(:current-input db)))
(rf/reg-sub
::message
(fn [db]
(:message db)))
(rf/reg-sub
::dbdb
(fn [db]
db))
;---------- events ----------
(rf/reg-event-db
::initialize-db
(fn [_ _]
default-db))
(rf/reg-event-db ::set-words-and-letters
(fn [db [_ word-set]]
(assoc db :words word-set
:common-letter (find-common-letter word-set)
:letters (get-unique-letter-collection word-set))))
(rf/reg-event-db ::update-current-input
(fn [db [_ input-value]]
(assoc db :current-input input-value)))
(rf/reg-event-db ::submit-word
(fn [db [_ word]]
(let [letters (:letters db)
common-letter (:common-letter db)
point-val (point-formula word letters)]
(case (word-validity-case word letters common-letter)
:submit-ok (-> db
(update :found-words conj word)
(assoc :message "Great job, you found " word " for " point-val "points!")) ; add the valid word to found words
:too-short (assoc db :message "Only words with 4 letters or more count.")
:not-in-list (assoc db :message "Sorry, " word " isn't in the word list today.")
:no-common (assoc db :message "Nice try, but the word needs to contain the common letter.")
:invalid (assoc db :message "All letters in the word must be from the given letter set.")))))
;---------- main page elements ----------
(defn spawn-words-button []
[:button {:on-click #(rf/dispatch [::set-words-and-letters word-collection])}
"Get Letters!"])
(defn text-input []
(let [input-value (rf/subscribe [::current-input])]
[:input {:type "text"
:placeholder "Type here!"
:value @input-value
:on-change #(rf/dispatch [::update-current-input (-> % .-target .-value)])}]))
(defn submit-button [word]
(let [input-value (rf/subscribe [::current-input])]
[:button {:on-click #(when (seq @input-value)
(rf/dispatch [::submit-word @input-value])
(rf/dispatch [::update-current-input ""]))} ; clear input after submit
"Submit"]))
;---------- main page renderer ----------
(defn main-panel []
(let [name (rf/subscribe [::name])
words (rf/subscribe [::words])
found-words (rf/subscribe [::found-words])
common-letter (rf/subscribe [::common-letter])
letters (rf/subscribe [::letters])
current-input (rf/subscribe [::current-input])
message (rf/subscribe [::message])
database (rf/subscribe [::dbdb])]
[:div
[:h1
"Hello, " @name]
[spawn-words-button]
[:h2
"Here are the words you have found:"]
[:p @found-words]
[text-input]
[submit-button current-input]
[:p @message]
[:p "Common Letter: " (str (first @common-letter))]
[:p "Available Letters: " (str/join ", " @letters)]
[:p "debug: db: " @database]]))
;---------- page load parameters ----------
(defn dev-setup []
(when debug?
(println "dev mode")))
(defn ^:dev/after-load mount-root []
(rf/clear-subscription-cache!)
(let [root-el (.getElementById js/document "app")]
(rdom/unmount-component-at-node root-el)
(rdom/render [main-panel] root-el)))
(defn init []
(rf/dispatch-sync [::initialize-db])
(dev-setup)
(mount-root))
|
71b1ee0baa124aba40b2459813bd4454
|
{
"intermediate": 0.5086621046066284,
"beginner": 0.28848734498023987,
"expert": 0.2028505504131317
}
|
39,853
|
Harker Corporation uses the weighted-average method in its process costing system. The first processing department, the Welding Department, started the month with 16,000 units in its beginning work in process inventory that were 40% complete with respect to conversion costs. The conversion cost in this beginning work in process inventory was $29,440. An additional 59,000 units were started into production during the month and 61,000 units were completed in the Welding Department and transferred to the next processing department. There were 14,000 units in the ending work-in-process inventory of the Welding Department that were 10% complete with respect to conversion costs. A total of $246,400 in conversion costs were incurred in the department during the month. What would be the cost per equivalent unit for conversion costs for the month?
A. $4.38
B. $4.42
C. $4.52
|
b934aca676fe97667eab78208d07d297
|
{
"intermediate": 0.40473297238349915,
"beginner": 0.3598749339580536,
"expert": 0.23539213836193085
}
|
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