cheeyeo

import datetime
import json
import base64
from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives import hashes
from cryptography.hazmat.primitives import serialization
from cryptography.hazmat.primitives.asymmetric import padding
from botocore.signers import CloudFrontSigner

cheeyeo

--- board/__init__.py
+++ board/__init__.py
@@ -18,7 +18,7 @@
 
 
 def get_locale():
-    return request.accept_languages.best_match(['en', 'es'])
+    return request.accept_languages.best_match(["en", "es"])
 

cheeyeo

cheeyeo

#!/usr/bin/env python

import os
import json
import time
import boto3
import sagemaker


if __name__ == "__main__":

cheeyeo

root@8423ac911e05:/opt/tritonserver# tritonserver --model-repository=model_repository
I0425 10:08:43.682014 1236 pinned_memory_manager.cc:241] Pinned memory pool is created at '0x77fa88000000' with size 268435456
I0425 10:08:43.682247 1236 cuda_memory_manager.cc:107] CUDA memory pool is created on device 0 with size 67108864
I0425 10:08:43.684950 1236 model_lifecycle.cc:461] loading: detection_postprocessing:1
W0425 10:08:43.685049 1236 model_lifecycle.cc:108] ignore version directory 'hf_cache' which fails to convert to integral number
I0425 10:08:43.685063 1236 model_lifecycle.cc:461] loading: sam_vit:1
W0425 10:08:43.685125 1236 model_lifecycle.cc:108] ignore version directory 'hf_cache' which fails to convert to integral number
I0425 10:08:43.685138 1236 model_lifecycle.cc:461] loading: grounding_dino_tiny:1
I0425 10:08:45.251843 1236 python_be.cc:2363] TRITONBACKEND_ModelInstanceInitialize: detection_postprocessing_0 (GPU device 0)
I0425 10:08:45.654267 1236 model_lifecycle.cc:818] successfully loaded 'd

cheeyeo

import json
import io
import numpy as np
import torch
from transformers import GroundingDinoForObjectDetection, GroundingDinoProcessor
import triton_python_backend_utils as pb_utils
from PIL import Image


class TritonPythonModel:

cheeyeo

package main

// Example of using MCP with Gemini via Function Calls

import (
	"context"
	"encoding/json"
	"fmt"
	"log"
	"os"

cheeyeo

package main

import (
	"context"
	"fmt"
	"log"
	"os"

	"github.com/google/generative-ai-go/genai"
	"github.com/hectormalot/omgo"

cheeyeo

from abc import ABC, abstractmethod
import re
from typing import Dict, Any
import json
import requests
from bs4 import BeautifulSoup


class Scraper(ABC):
    def parse_site(self, url: str, headers: dict={}) -> Dict[str, Any]:

cheeyeo

#image processing resources
from skimage.io import imread, imshow
from skimage.filters import gaussian, threshold_otsu
from skimage.feature import canny
from skimage.transform import probabilistic_hough_line, rotate

#testing 
import numpy as np
import os