file_path stringlengths 3 280 | file_language stringclasses 66
values | content stringlengths 1 1.04M | repo_name stringlengths 5 92 | repo_stars int64 0 154k | repo_description stringlengths 0 402 | repo_primary_language stringclasses 108
values | developer_username stringlengths 1 25 | developer_name stringlengths 0 30 | developer_company stringlengths 0 82 |
|---|---|---|---|---|---|---|---|---|---|
pkg/util/tui/update.go | Go | package tui
import (
"time"
"github.com/charmbracelet/bubbles/key"
"github.com/charmbracelet/bubbles/spinner"
"github.com/charmbracelet/bubbles/viewport"
tea "github.com/charmbracelet/bubbletea"
)
// Update handles messages and updates the model
func (m Model) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
var (
... | yaacov/kubectl-mtv | 11 | A kubectl plugin that helps users of Forklift migrate virtualization workloads from oVirt, VMware, OpenStack, and OVA files to KubeVirt on Kubernetes. | Go | yaacov | Yaacov Zamir | Red Hat |
pkg/util/tui/view.go | Go | package tui
import (
"fmt"
"strings"
"time"
"github.com/charmbracelet/lipgloss"
)
// Styles for the TUI
var (
// Status bar styles
statusBarStyle = lipgloss.NewStyle().
Foreground(lipgloss.Color("230")).
Background(lipgloss.Color("63")).
Padding(0, 1)
statusBarErrorStyle = lipgloss.NewStyle().
F... | yaacov/kubectl-mtv | 11 | A kubectl plugin that helps users of Forklift migrate virtualization workloads from oVirt, VMware, OpenStack, and OVA files to KubeVirt on Kubernetes. | Go | yaacov | Yaacov Zamir | Red Hat |
pkg/util/watch/helper.go | Go | package watch
import (
"fmt"
"time"
)
// WrapWithWatch wraps a list function with optional watch mode
// If watchMode is true, it validates output format and enables watching
// Otherwise, it just calls the list function once
func WrapWithWatch(watchMode bool, outputFormat string, listFunc RenderFunc, interval time... | yaacov/kubectl-mtv | 11 | A kubectl plugin that helps users of Forklift migrate virtualization workloads from oVirt, VMware, OpenStack, and OVA files to KubeVirt on Kubernetes. | Go | yaacov | Yaacov Zamir | Red Hat |
pkg/util/watch/watch.go | Go | package watch
import (
"fmt"
"io"
"os"
"strings"
"time"
"github.com/yaacov/kubectl-mtv/pkg/util/tui"
)
// DefaultInterval is the default watch interval for all watch operations
const DefaultInterval = 5 * time.Second
// RenderFunc is a function that renders output and returns an error if any
type RenderFunc f... | yaacov/kubectl-mtv | 11 | A kubectl plugin that helps users of Forklift migrate virtualization workloads from oVirt, VMware, OpenStack, and OVA files to KubeVirt on Kubernetes. | Go | yaacov | Yaacov Zamir | Red Hat |
pkg/version/version.go | Go | // Package version provides version information for kubectl-mtv
package version
// ClientVersion is the version of kubectl-mtv client, set via ldflags during build
var ClientVersion = "unknown"
| yaacov/kubectl-mtv | 11 | A kubectl plugin that helps users of Forklift migrate virtualization workloads from oVirt, VMware, OpenStack, and OVA files to KubeVirt on Kubernetes. | Go | yaacov | Yaacov Zamir | Red Hat |
scripts/dump-mcp-tools.py | Python | #!/usr/bin/env python3
"""
Dump the tools/list MCP response verbatim from a running MCP server.
Supports:
- Stdio mode: spawn the server as subprocess, communicate via stdin/stdout
- SSE mode: connect to an already-running HTTP SSE server
Usage:
# Stdio - spawn kubectl-mtv MCP server
./dump-mcp-tools.py --std... | yaacov/kubectl-mtv | 11 | A kubectl plugin that helps users of Forklift migrate virtualization workloads from oVirt, VMware, OpenStack, and OVA files to KubeVirt on Kubernetes. | Go | yaacov | Yaacov Zamir | Red Hat |
scripts/verify-defaults.sh | Shell | #!/bin/bash
# verify-defaults.sh
# Compares kubectl-mtv settings defaults against forklift operator defaults
#
# Usage:
# ./scripts/verify-defaults.sh [FORKLIFT_PATH]
#
# Environment:
# FORKLIFT_PATH - Path to forklift repository (default: ../../kubev2v/forklift)
set -e
# Colors for output
RED='\033[0;31m'
GREEN=... | yaacov/kubectl-mtv | 11 | A kubectl plugin that helps users of Forklift migrate virtualization workloads from oVirt, VMware, OpenStack, and OVA files to KubeVirt on Kubernetes. | Go | yaacov | Yaacov Zamir | Red Hat |
cmd/kubectl-mtv-mcp/cli.go | Go | package cmd
import (
"context"
"flag"
"fmt"
"log"
"net/http"
"os"
"strings"
"github.com/modelcontextprotocol/go-sdk/mcp"
"github.com/yaacov/kubectl-mtv-mcp/pkg/mtvmcp"
)
// Version is set via linker flags during build
var Version = "dev"
func Execute() error {
version := flag.Bool("version", false, "Print... | yaacov/kubectl-mtv-mcp | 1 | Model Context Protocol (MCP) servers that provide AI assistants with tools to interact with Migration Toolkit for Virtualization (MTV) through kubectl-mtv commands. | Go | yaacov | Yaacov Zamir | Red Hat |
cmd/kubectl-mtv-mcp/server.go | Go | package cmd
import (
"context"
"fmt"
"github.com/modelcontextprotocol/go-sdk/mcp"
"github.com/yaacov/kubectl-mtv-mcp/pkg/mtvmcp/discovery"
"github.com/yaacov/kubectl-mtv-mcp/pkg/mtvmcp/tools"
)
// CreateServer creates the MCP server with dynamically discovered tools.
// Discovery happens at startup using kubect... | yaacov/kubectl-mtv-mcp | 1 | Model Context Protocol (MCP) servers that provide AI assistants with tools to interact with Migration Toolkit for Virtualization (MTV) through kubectl-mtv commands. | Go | yaacov | Yaacov Zamir | Red Hat |
main.go | Go | package main
import (
"log"
cmd "github.com/yaacov/kubectl-mtv-mcp/cmd/kubectl-mtv-mcp"
)
func main() {
if err := cmd.Execute(); err != nil {
log.Fatal(err)
}
}
| yaacov/kubectl-mtv-mcp | 1 | Model Context Protocol (MCP) servers that provide AI assistants with tools to interact with Migration Toolkit for Virtualization (MTV) through kubectl-mtv commands. | Go | yaacov | Yaacov Zamir | Red Hat |
pkg/mtvmcp/common.go | Go | package mtvmcp
import (
"bytes"
"context"
"encoding/json"
"fmt"
"os/exec"
"time"
shellquote "github.com/kballard/go-shellquote"
)
// contextKey is a custom type for context keys to avoid collisions
type contextKey string
const (
// kubeconfigTokenKey is the context key for Kubernetes token
kubeconfigTokenK... | yaacov/kubectl-mtv-mcp | 1 | Model Context Protocol (MCP) servers that provide AI assistants with tools to interact with Migration Toolkit for Virtualization (MTV) through kubectl-mtv commands. | Go | yaacov | Yaacov Zamir | Red Hat |
pkg/mtvmcp/discovery/registry.go | Go | package discovery
import (
"context"
"encoding/json"
"fmt"
"os/exec"
"sort"
"strings"
"time"
)
// Registry holds discovered kubectl-mtv commands organized by read/write access.
type Registry struct {
// ReadOnly contains commands that don't modify cluster state
ReadOnly map[string]*Command
// ReadWrite con... | yaacov/kubectl-mtv-mcp | 1 | Model Context Protocol (MCP) servers that provide AI assistants with tools to interact with Migration Toolkit for Virtualization (MTV) through kubectl-mtv commands. | Go | yaacov | Yaacov Zamir | Red Hat |
pkg/mtvmcp/discovery/registry_test.go | Go | package discovery
import (
"testing"
)
func TestCommand_PathKey(t *testing.T) {
tests := []struct {
name string
cmd Command
expected string
}{
{
name: "single level path",
cmd: Command{
Path: []string{"get"},
},
expected: "get",
},
{
name: "two level path",
cmd: Command{
... | yaacov/kubectl-mtv-mcp | 1 | Model Context Protocol (MCP) servers that provide AI assistants with tools to interact with Migration Toolkit for Virtualization (MTV) through kubectl-mtv commands. | Go | yaacov | Yaacov Zamir | Red Hat |
pkg/mtvmcp/discovery/types.go | Go | // Package discovery provides dynamic command discovery from kubectl-mtv help output.
package discovery
import "strings"
// HelpSchema matches kubectl-mtv help --machine output
type HelpSchema struct {
Version string `json:"version"`
CLIVersion string `json:"cli_version"`
Name string `json:"na... | yaacov/kubectl-mtv-mcp | 1 | Model Context Protocol (MCP) servers that provide AI assistants with tools to interact with Migration Toolkit for Virtualization (MTV) through kubectl-mtv commands. | Go | yaacov | Yaacov Zamir | Red Hat |
pkg/mtvmcp/tools/kubectl.go | Go | package tools
import (
"context"
"fmt"
"strconv"
"github.com/modelcontextprotocol/go-sdk/mcp"
"github.com/yaacov/kubectl-mtv-mcp/pkg/mtvmcp"
)
// KubectlDebugInput represents the input for the kubectl_debug tool.
type KubectlDebugInput struct {
// Action is the kubectl action to perform: "logs" or "get"
Actio... | yaacov/kubectl-mtv-mcp | 1 | Model Context Protocol (MCP) servers that provide AI assistants with tools to interact with Migration Toolkit for Virtualization (MTV) through kubectl-mtv commands. | Go | yaacov | Yaacov Zamir | Red Hat |
pkg/mtvmcp/tools/mtv_read.go | Go | package tools
import (
"context"
"fmt"
"strings"
"github.com/modelcontextprotocol/go-sdk/mcp"
"github.com/yaacov/kubectl-mtv-mcp/pkg/mtvmcp"
"github.com/yaacov/kubectl-mtv-mcp/pkg/mtvmcp/discovery"
)
// MTVReadInput represents the input for the mtv_read tool.
type MTVReadInput struct {
// Command is the kubec... | yaacov/kubectl-mtv-mcp | 1 | Model Context Protocol (MCP) servers that provide AI assistants with tools to interact with Migration Toolkit for Virtualization (MTV) through kubectl-mtv commands. | Go | yaacov | Yaacov Zamir | Red Hat |
pkg/mtvmcp/tools/mtv_write.go | Go | package tools
import (
"context"
"fmt"
"strings"
"github.com/modelcontextprotocol/go-sdk/mcp"
"github.com/yaacov/kubectl-mtv-mcp/pkg/mtvmcp"
"github.com/yaacov/kubectl-mtv-mcp/pkg/mtvmcp/discovery"
)
// MTVWriteInput represents the input for the mtv_write tool.
type MTVWriteInput struct {
// Command is the ku... | yaacov/kubectl-mtv-mcp | 1 | Model Context Protocol (MCP) servers that provide AI assistants with tools to interact with Migration Toolkit for Virtualization (MTV) through kubectl-mtv commands. | Go | yaacov | Yaacov Zamir | Red Hat |
main.py | Python | import argparse
from fastapi import FastAPI, HTTPException
from fastapi.staticfiles import StaticFiles
from fastapi.responses import HTMLResponse
from pydantic import BaseModel
from typing import Optional, Union, List
import uvicorn
import torch
import os
from pathlib import Path
import time
# Constants
# Choose the m... | yaacov/rag-chat-interface | 7 | A self-hosted, privacy-focused RAG (Retrieval-Augmented Generation) interface for intelligent document interaction. Turn any document into a knowledge base you can chat with. | Python | yaacov | Yaacov Zamir | Red Hat |
src/get_device.py | Python | import torch
def get_device():
"""
Determine the best available device for PyTorch operations.
Returns:
str: Device string, one of:
- "cuda" if NVIDIA CUDA GPU is available
- "xpu" if Intel IPU is available
- "hip" if AMD ROCm is available
- "mps" i... | yaacov/rag-chat-interface | 7 | A self-hosted, privacy-focused RAG (Retrieval-Augmented Generation) interface for intelligent document interaction. Turn any document into a knowledge base you can chat with. | Python | yaacov | Yaacov Zamir | Red Hat |
src/load_and_split.py | Python | import requests
import os
import tempfile
from urllib.parse import urlparse
import mimetypes
import re
try:
import magic
except ImportError:
magic = None
from langchain_community.document_loaders import (
TextLoader,
BSHTMLLoader,
PyPDFLoader,
UnstructuredWordDocumentLoader,
)
from langchain.te... | yaacov/rag-chat-interface | 7 | A self-hosted, privacy-focused RAG (Retrieval-Augmented Generation) interface for intelligent document interaction. Turn any document into a knowledge base you can chat with. | Python | yaacov | Yaacov Zamir | Red Hat |
src/local_model_client.py | Python | import torch
from src.prompt_utils import extract_rag_answer # new import
class LocalModelClient:
"""Client for interacting with local pyTorch models."""
def __init__(self, model, tokenizer=None, model_name=None, device=None):
"""Initialize the local model client.
Args:
model: T... | yaacov/rag-chat-interface | 7 | A self-hosted, privacy-focused RAG (Retrieval-Augmented Generation) interface for intelligent document interaction. Turn any document into a knowledge base you can chat with. | Python | yaacov | Yaacov Zamir | Red Hat |
src/maas_client.py | Python | import requests
from src.prompt_utils import extract_rag_answer
class MaasClient:
"""Client for interacting with Model-As-A-Service APIs."""
def __init__(self, api_url=None, api_key=None, model_name=None):
"""Initialize the MAAS client.
Args:
api_url (str): The API endpoint URL
... | yaacov/rag-chat-interface | 7 | A self-hosted, privacy-focused RAG (Retrieval-Augmented Generation) interface for intelligent document interaction. Turn any document into a knowledge base you can chat with. | Python | yaacov | Yaacov Zamir | Red Hat |
src/milvus_setup.py | Python | from pymilvus import MilvusClient
def get_milvus_client(uri="./rag_milvus.db"):
"""Create and return a Milvus client instance.
Args:
uri (str, optional): URI for the Milvus database connection.
Defaults to "./rag_milvus.db".
Returns:
MilvusClient: A configured Milvus client i... | yaacov/rag-chat-interface | 7 | A self-hosted, privacy-focused RAG (Retrieval-Augmented Generation) interface for intelligent document interaction. Turn any document into a knowledge base you can chat with. | Python | yaacov | Yaacov Zamir | Red Hat |
src/model_setup.py | Python | from transformers import AutoModelForCausalLM, AutoTokenizer
from sentence_transformers import SentenceTransformer
from src.maas_client import MaasClient
from src.local_model_client import LocalModelClient
def get_llm_model(
model_path="ibm-granite/granite-3.1-2b-instruct",
device=None,
llm_api_url=None,
... | yaacov/rag-chat-interface | 7 | A self-hosted, privacy-focused RAG (Retrieval-Augmented Generation) interface for intelligent document interaction. Turn any document into a knowledge base you can chat with. | Python | yaacov | Yaacov Zamir | Red Hat |
src/prompt_utils.py | Python | PROMPT_TEMPLATE = """
Use the following pieces of information enclosed in [context] tags to provide an answer to the question enclosed in [question] tags.
The context is divided into numbered snippets from different documentation sources.
If some snippets are not relevant to the question, ignore the irrelev... | yaacov/rag-chat-interface | 7 | A self-hosted, privacy-focused RAG (Retrieval-Augmented Generation) interface for intelligent document interaction. Turn any document into a knowledge base you can chat with. | Python | yaacov | Yaacov Zamir | Red Hat |
src/query_logging.py | Python | import sqlite3
import json
def setup_sqlite_db(db_path):
"""Set up SQLite database for query logging."""
conn = sqlite3.connect(db_path)
cursor = conn.cursor()
# Create table for storing queries and responses
cursor.execute(
"""
CREATE TABLE IF NOT EXISTS query_logs (
id INTEG... | yaacov/rag-chat-interface | 7 | A self-hosted, privacy-focused RAG (Retrieval-Augmented Generation) interface for intelligent document interaction. Turn any document into a knowledge base you can chat with. | Python | yaacov | Yaacov Zamir | Red Hat |
src/vector_store.py | Python | """
Text Embedding and Vector Database Management Module
This module provides functionality for converting text to embeddings and managing
these embeddings in a Milvus vector database.
Functions:
emb_text: Convert text to vector embeddings
embed_data: Create embeddings for a collection of texts
create_mil... | yaacov/rag-chat-interface | 7 | A self-hosted, privacy-focused RAG (Retrieval-Augmented Generation) interface for intelligent document interaction. Turn any document into a knowledge base you can chat with. | Python | yaacov | Yaacov Zamir | Red Hat |
static/index.html | HTML | <!DOCTYPE html>
<html>
<head>
<title>DocuChat AI</title>
<link href="https://fonts.googleapis.com/css2?family=Roboto:wght@300;400;500&display=swap" rel="stylesheet">
<!-- Add Font Awesome -->
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css">
<!-... | yaacov/rag-chat-interface | 7 | A self-hosted, privacy-focused RAG (Retrieval-Augmented Generation) interface for intelligent document interaction. Turn any document into a knowledge base you can chat with. | Python | yaacov | Yaacov Zamir | Red Hat |
utils/ask_cli.py | Python | #!/usr/bin/env python3
"""
Minimal CLI for an /ask HTTPS API.
Usage:
python ask_cli.py --url https://api.example.com/ask
"""
import argparse
import json
from urllib.request import Request, urlopen
from urllib.error import URLError, HTTPError
def ask(endpoint: str, text: str) -> str:
"""Send { "text": <text> }... | yaacov/rag-chat-interface | 7 | A self-hosted, privacy-focused RAG (Retrieval-Augmented Generation) interface for intelligent document interaction. Turn any document into a knowledge base you can chat with. | Python | yaacov | Yaacov Zamir | Red Hat |
utils/crawler.py | Python | import argparse
import re
import requests
from bs4 import BeautifulSoup
from typing import List, Set
from urllib.parse import urljoin, urlparse
def extract_domain(url: str) -> str:
"""Extract the domain from a URL."""
return urlparse(url).netloc
def is_http_url(url: str) -> bool:
"""Check if a URL uses ... | yaacov/rag-chat-interface | 7 | A self-hosted, privacy-focused RAG (Retrieval-Augmented Generation) interface for intelligent document interaction. Turn any document into a knowledge base you can chat with. | Python | yaacov | Yaacov Zamir | Red Hat |
bin/__init__.py | Python | """YMCA command-line tools."""
| yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
bin/chat_app.py | Python | #!/usr/bin/env python3
"""
Interactive Chat Application - Chat with tools, memory, and planning.
Features:
- Conversational AI with memory
- Tool calling
- Multi-step planning
- Memory integration
"""
import argparse
import logging
import sys
from pathlib import Path
# Add parent directory to path to import ymca pac... | yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
bin/converter/__init__.py | Python | """
Model Converter Package - Download and convert Hugging Face models to GGUF format.
"""
from .downloader import ModelDownloader
from .llama_cpp import LlamaCppConverter
from .cli import parse_args, setup_logging
__all__ = ['ModelDownloader', 'LlamaCppConverter', 'parse_args', 'setup_logging']
| yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
bin/converter/cli.py | Python | """
CLI - Command-line interface for the model converter.
"""
import argparse
import logging
# Default model: IBM Granite 4.0 Hybrid Small
DEFAULT_MODEL = "ibm-granite/granite-4.0-h-small"
def setup_logging(verbose: bool = False):
"""Setup logging configuration.
Args:
verbose: Enable verbose (D... | yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
bin/converter/downloader.py | Python | """
Model Downloader - Download models from Hugging Face Hub.
"""
import logging
from pathlib import Path
from typing import Optional
from huggingface_hub import snapshot_download
logger = logging.getLogger(__name__)
class ModelDownloader:
"""Handle model downloading from Hugging Face."""
def __init__... | yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
bin/converter/llama_cpp.py | Python | """
Llama.cpp Integration - Convert models to GGUF format using llama.cpp.
"""
import logging
import shutil
import subprocess
import sys
from pathlib import Path
from typing import Optional
logger = logging.getLogger(__name__)
class LlamaCppConverter:
"""Handle GGUF conversion using llama.cpp."""
def _... | yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
bin/memory_cli.py | Python | #!/usr/bin/env python3
"""
Memory Tool CLI - Command-line interface for memory management.
Commands:
store - Store text in memory
retrieve - Search and retrieve memories
clear - Clear all memories
stats - Show memory statistics
load-docs - Load markdown documents from directory
list - Lis... | yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
bin/model_converter.py | Python | #!/usr/bin/env python3
"""
Model Converter - Download and convert Hugging Face models to GGUF format.
This is the main entry point for the model converter tool.
"""
import sys
import logging
try:
from bin.converter import ModelDownloader, LlamaCppConverter, parse_args, setup_logging
except ImportError as e:
... | yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
bin/static/index.html | HTML | <!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>YMCA Chat - AI Assistant</title>
<link rel="stylesheet" href="/static/style.css">
<!-- Markdown rendering library -->
<script src="https://cdn.jsdelivr.net... | yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
bin/static/script.js | JavaScript | // API Configuration
const API_BASE_URL = window.location.origin;
// DOM Elements
const chatContainer = document.getElementById('chat-container');
const userInput = document.getElementById('user-input');
const sendBtn = document.getElementById('send-btn');
const clearBtn = document.getElementById('clear-btn');
const s... | yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
bin/static/style.css | CSS | /* Reset and base styles */
* {
margin: 0;
padding: 0;
box-sizing: border-box;
}
:root {
--primary-color: #3b82f6;
--primary-hover: #2563eb;
--secondary-color: #6b7280;
--danger-color: #ef4444;
--danger-hover: #dc2626;
--success-color: #10b981;
--bg-dark: #1f2937;
--bg-darke... | yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
bin/web_app.py | Python | #!/usr/bin/env python3
"""
Web Chat Application - API server with static web interface.
Provides REST endpoints for chat interactions with tools, memory, and planning.
"""
import argparse
import logging
import sys
from pathlib import Path
from typing import Optional
from contextlib import asynccontextmanager
from f... | yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
ymca/__init__.py | Python | """
YMCA - Your Memory & Chat Assistant
A framework for building conversational AI with memory and tool capabilities.
"""
__version__ = "0.1.0"
# Expose main modules for convenient imports
from ymca.core.model_handler import ModelHandler
from ymca.tools.memory.tool import MemoryTool
from ymca.chat.api import ChatAPI... | yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
ymca/chat/__init__.py | Python | """
Chat components - Advanced conversational AI with tools and planning.
"""
from .message import Message
from .tool import Tool
from .history import ConversationHistory
from .api import ChatAPI
from .tool_parser import parse_xml_tool_calls, has_incomplete_tool_call
__all__ = [
'Message',
'Tool',
'Conve... | yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
ymca/chat/api.py | Python | """
Chat API - Main conversational interface.
Advanced chat API with conversation memory, tools, and planning.
"""
import logging
from typing import Dict, List, Callable, Optional
from .tool import Tool
from .history import ConversationHistory
from .chat_engine import ChatEngine
from .tool_selector import ToolSelect... | yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
ymca/chat/chat_engine.py | Python | """
Chat Engine - Core chat loop and LLM interaction logic.
Handles the iterative tool-calling loop, message preparation,
and interaction with the LLM.
"""
import json
import logging
from typing import Dict, List, Optional, Callable
from .tool_parser import parse_xml_tool_calls, has_incomplete_tool_call
logger = l... | yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
ymca/chat/history.py | Python | """
Conversation history management with sliding window.
"""
from typing import List, Dict, Optional
from .message import Message
class ConversationHistory:
"""Manages conversation history with a sliding window."""
def __init__(self, max_messages: int = 20):
"""
Initialize conversation h... | yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
ymca/chat/message.py | Python | """
Message representation for chat conversations.
"""
from dataclasses import dataclass, field
from datetime import datetime
from typing import Optional, List, Dict
@dataclass
class Message:
"""A single message in the conversation."""
role: str # 'system', 'user', 'assistant', 'tool'
content: Optional[... | yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
ymca/chat/tool.py | Python | """
Tool representation and management for function calling.
"""
from dataclasses import dataclass
from typing import Callable, Dict
@dataclass
class Tool:
"""A tool that the chat API can use."""
name: str
description: str
function: Callable
parameters: Dict
def to_llm_format(self) -> Di... | yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
ymca/chat/tool_parser.py | Python | """
Tool Call Parser - Parse tool calls from various LLM formats.
Supports:
- OpenAI format (native from llama-cpp-python)
- Granite XML format
"""
import json
import logging
import re
from typing import List, Dict
logger = logging.getLogger(__name__)
def parse_xml_tool_calls(content: str) -> List[Dict]:
"""
... | yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
ymca/chat/tool_selector.py | Python | """Tool selector using semantic search to find relevant tools."""
import json
import logging
from pathlib import Path
from typing import List, Dict, Set, TYPE_CHECKING, Optional
import numpy as np
if TYPE_CHECKING:
from .tool import Tool
logger = logging.getLogger(__name__)
class ToolSelector:
"""
Sel... | yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
ymca/core/__init__.py | Python | """
Core components - Model handling and LLM interface.
"""
from .model_handler import ModelHandler
from .answer_refiner import AnswerRefiner
__all__ = ['ModelHandler', 'AnswerRefiner']
| yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
ymca/core/answer_refiner.py | Python | """
Answer Refiner - Post-process LLM responses for clarity and accuracy.
This module provides functionality to refine raw LLM responses by:
- Improving clarity and formatting
- Prioritizing practical examples
- Ensuring answers directly address the original question
"""
import logging
from typing import Optional
lo... | yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
ymca/core/model_handler.py | Python | """
Model Handler - Manages LLM for question generation and other tasks.
"""
from pathlib import Path
from typing import List, Optional
import logging
import gc
import time
from llama_cpp import Llama
from .question_parser import parse_questions_from_text
from .answer_refiner import AnswerRefiner
logger = logging.ge... | yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
ymca/core/question_parser.py | Python | """
Statement Parser - Utilities for parsing and cleaning LLM-generated semantic summaries.
Parses declarative statements from LLM output.
"""
from typing import List
import logging
import re
logger = logging.getLogger(__name__)
def parse_questions_from_text(text: str, expected_count: int = 3) -> List[str]:
""... | yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
ymca/core/ui.py | Python | """
UI utilities for terminal-based interactions.
"""
import sys
import threading
import time
from rich.console import Console
from rich.markdown import Markdown
from rich.panel import Panel
from rich.text import Text
# Global console instance for consistent rendering
console = Console()
def print_user_input(text: ... | yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
ymca/tools/__init__.py | Python | """
Tools for the main application.
"""
from .memory.tool import MemoryTool
from .mcp.client import MCPClient
__all__ = ['MemoryTool', 'MCPClient']
| yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
ymca/tools/mcp/__init__.py | Python | """MCP (Model Context Protocol) client for tool integration."""
from .client import MCPClient
__all__ = ['MCPClient']
| yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
ymca/tools/mcp/client.py | Python | """MCP client for connecting to MCP servers and using their tools."""
import json
import logging
import subprocess
from typing import Dict, List, Optional, Any
from pathlib import Path
logger = logging.getLogger(__name__)
class MCPClient:
"""
Client for connecting to MCP (Model Context Protocol) servers.
... | yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
ymca/tools/memory/__init__.py | Python | """
Memory Tool Package - RAG-based memory system with ChromaDB.
Main Components:
- MemoryTool: Main interface for storing and retrieving memories
- ChunkStorage: File-based storage for text chunks (one file per chunk)
- VectorStore: ChromaDB-based vector storage for embeddings
- TextChunker: Text chunking with overla... | yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
ymca/tools/memory/chunker.py | Python | """Text chunking utilities with markdown awareness."""
import re
from typing import List
class TextChunker:
"""Handles text chunking with overlap and markdown structure awareness."""
def __init__(self, chunk_size: int = 4000, overlap: int = 400):
"""
Initialize chunker.
... | yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
ymca/tools/memory/embedder.py | Python | """Embedding generation using sentence transformers."""
import logging
from typing import List, Optional
from pathlib import Path
import numpy as np
from sentence_transformers import SentenceTransformer
import torch
logger = logging.getLogger(__name__)
class Embedder:
"""Handles text embedding generation with G... | yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
ymca/tools/memory/retriever.py | Python | """Memory retrieval logic."""
import logging
import time
from typing import List, Dict, Optional
import numpy as np
from .storage import ChunkStorage
from .vector_store import VectorStore
from .embedder import Embedder
logger = logging.getLogger(__name__)
class MemoryRetriever:
"""Handles memory search and ret... | yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
ymca/tools/memory/storage.py | Python | """File-based storage for text chunks."""
import json
import hashlib
import logging
from pathlib import Path
from typing import Dict, Optional
logger = logging.getLogger(__name__)
class ChunkStorage:
"""Stores text chunks as individual files."""
def __init__(self, storage_dir: Path):
"""
... | yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
ymca/tools/memory/tool.py | Python | """Main MemoryTool class."""
import logging
import time
from pathlib import Path
from typing import List, Dict
from .chunker import TextChunker
from .embedder import Embedder
from .storage import ChunkStorage
from .vector_store import VectorStore
from .retriever import MemoryRetriever
logger = logging.getLogger(__na... | yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
ymca/tools/memory/vector_store.py | Python | """ChromaDB vector store for embeddings."""
import logging
import chromadb
from chromadb.config import Settings
from pathlib import Path
from typing import List, Dict, Tuple
import numpy as np
logger = logging.getLogger(__name__)
class VectorStore:
"""Manages embeddings using ChromaDB."""
def __init__(... | yaacov/ymca | 1 | YMCA combines the power of small language models (SML) with the flexibility of MCP servers, all while maintaining a small footprint through quantized models. The framework uses llama.cpp and includes built-in memory capabilities, allowing the agent to maintain context across conversations using semantic search and vect... | Python | yaacov | Yaacov Zamir | Red Hat |
index.html | HTML | <!DOCTYPE html>
<html lang="en"><head>
<script src="index_files/libs/clipboard/clipboard.min.js"></script>
<script src="index_files/libs/quarto-html/tabby.min.js"></script>
<script src="index_files/libs/quarto-html/popper.min.js"></script>
<script src="index_files/libs/quarto-html/tippy.umd.min.js"></script>
<link href... | yabellini/CSVConfv7 | 0 | Talk at CSV Conf V7 | JavaScript | yabellini | Yanina Bellini Saibene | ropensci |
index_files/libs/clipboard/clipboard.min.js | JavaScript | /*!
* clipboard.js v2.0.11
* https://clipboardjs.com/
*
* Licensed MIT © Zeno Rocha
*/
!function(t,e){"object"==typeof exports&&"object"==typeof module?module.exports=e():"function"==typeof define&&define.amd?define([],e):"object"==typeof exports?exports.ClipboardJS=e():t.ClipboardJS=e()}(this,function(){return n=... | yabellini/CSVConfv7 | 0 | Talk at CSV Conf V7 | JavaScript | yabellini | Yanina Bellini Saibene | ropensci |
index_files/libs/quarto-html/light-border.css | CSS | .tippy-box[data-theme~=light-border]{background-color:#fff;background-clip:padding-box;border:1px solid rgba(0,8,16,.15);color:#333;box-shadow:0 4px 14px -2px rgba(0,8,16,.08)}.tippy-box[data-theme~=light-border]>.tippy-backdrop{background-color:#fff}.tippy-box[data-theme~=light-border]>.tippy-arrow:after,.tippy-box[da... | yabellini/CSVConfv7 | 0 | Talk at CSV Conf V7 | JavaScript | yabellini | Yanina Bellini Saibene | ropensci |
index_files/libs/quarto-html/popper.min.js | JavaScript | /**
* @popperjs/core v2.11.4 - MIT License
*/
!function(e,t){"object"==typeof exports&&"undefined"!=typeof module?t(exports):"function"==typeof define&&define.amd?define(["exports"],t):t((e="undefined"!=typeof globalThis?globalThis:e||self).Popper={})}(this,(function(e){"use strict";function t(e){if(null==e)return w... | yabellini/CSVConfv7 | 0 | Talk at CSV Conf V7 | JavaScript | yabellini | Yanina Bellini Saibene | ropensci |
index_files/libs/quarto-html/quarto-html.min.css | CSS | /*# sourceMappingURL=0a6b880beb84f9b6f36107a76f82c5b1.css.map */
| yabellini/CSVConfv7 | 0 | Talk at CSV Conf V7 | JavaScript | yabellini | Yanina Bellini Saibene | ropensci |
index_files/libs/quarto-html/quarto-syntax-highlighting.css | CSS | /* quarto syntax highlight colors */
:root {
--quarto-hl-ot-color: #003B4F;
--quarto-hl-at-color: #657422;
--quarto-hl-ss-color: #20794D;
--quarto-hl-an-color: #5E5E5E;
--quarto-hl-fu-color: #4758AB;
--quarto-hl-st-color: #20794D;
--quarto-hl-cf-color: #003B4F;
--quarto-hl-op-color: #5E5E5E;
--quarto-... | yabellini/CSVConfv7 | 0 | Talk at CSV Conf V7 | JavaScript | yabellini | Yanina Bellini Saibene | ropensci |
index_files/libs/quarto-html/tabby.min.js | JavaScript | (function (root, factory) {
if (typeof define === "function" && define.amd) {
define([], function () {
return factory(root);
});
} else if (typeof exports === "object") {
module.exports = factory(root);
} else {
root.Tabby = factory(root);
}
})(
typeof global !== "undefined"
? global... | yabellini/CSVConfv7 | 0 | Talk at CSV Conf V7 | JavaScript | yabellini | Yanina Bellini Saibene | ropensci |
index_files/libs/quarto-html/tippy.css | CSS | .tippy-box[data-animation=fade][data-state=hidden]{opacity:0}[data-tippy-root]{max-width:calc(100vw - 10px)}.tippy-box{position:relative;background-color:#333;color:#fff;border-radius:4px;font-size:14px;line-height:1.4;white-space:normal;outline:0;transition-property:transform,visibility,opacity}.tippy-box[data-placeme... | yabellini/CSVConfv7 | 0 | Talk at CSV Conf V7 | JavaScript | yabellini | Yanina Bellini Saibene | ropensci |
index_files/libs/quarto-html/tippy.umd.min.js | JavaScript | !function(e,t){"object"==typeof exports&&"undefined"!=typeof module?module.exports=t(require("@popperjs/core")):"function"==typeof define&&define.amd?define(["@popperjs/core"],t):(e=e||self).tippy=t(e.Popper)}(this,(function(e){"use strict";var t={passive:!0,capture:!0},n=function(){return document.body};function r(e,t... | yabellini/CSVConfv7 | 0 | Talk at CSV Conf V7 | JavaScript | yabellini | Yanina Bellini Saibene | ropensci |
index_files/libs/revealjs/plugin/highlight/highlight.esm.js | JavaScript | function e(t){return(e="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(e){return typeof e}:function(e){return e&&"function"==typeof Symbol&&e.constructor===Symbol&&e!==Symbol.prototype?"symbol":typeof e})(t)}function t(e,t){if(!(e instanceof t))throw new TypeError("Cannot call a class as a function... | yabellini/CSVConfv7 | 0 | Talk at CSV Conf V7 | JavaScript | yabellini | Yanina Bellini Saibene | ropensci |
index_files/libs/revealjs/plugin/highlight/highlight.js | JavaScript | !function(e,t){"object"==typeof exports&&"undefined"!=typeof module?module.exports=t():"function"==typeof define&&define.amd?define(t):(e="undefined"!=typeof globalThis?globalThis:e||self).RevealHighlight=t()}(this,(function(){"use strict";function e(t){return(e="function"==typeof Symbol&&"symbol"==typeof Symbol.iterat... | yabellini/CSVConfv7 | 0 | Talk at CSV Conf V7 | JavaScript | yabellini | Yanina Bellini Saibene | ropensci |
index_files/libs/revealjs/plugin/highlight/monokai.css | CSS | /*
Monokai style - ported by Luigi Maselli - http://grigio.org
*/
.hljs {
display: block;
overflow-x: auto;
padding: 0.5em;
background: #272822;
color: #ddd;
}
.hljs-tag,
.hljs-keyword,
.hljs-selector-tag,
.hljs-literal,
.hljs-strong,
.hljs-name {
color: #f92672;
}
.hljs-code {
color: #66d9ef;
}
.hljs... | yabellini/CSVConfv7 | 0 | Talk at CSV Conf V7 | JavaScript | yabellini | Yanina Bellini Saibene | ropensci |
index_files/libs/revealjs/plugin/highlight/plugin.js | JavaScript | import hljs from 'highlight.js';
/* highlightjs-line-numbers.js 2.8.0 | (C) 2018 Yauheni Pakala | MIT License | github.com/wcoder/highlightjs-line-numbers.js */
!function(r,o){"use strict";var e,i="hljs-ln",l="hljs-ln-line",h="hljs-ln-code",s="hljs-ln-numbers",c="hljs-ln-n",m="data-line-number",a=/\r\n|\r|\n/g;functio... | yabellini/CSVConfv7 | 0 | Talk at CSV Conf V7 | JavaScript | yabellini | Yanina Bellini Saibene | ropensci |
index_files/libs/revealjs/plugin/highlight/zenburn.css | CSS | /*
Zenburn style from voldmar.ru (c) Vladimir Epifanov <voldmar@voldmar.ru>
based on dark.css by Ivan Sagalaev
*/
.hljs {
display: block;
overflow-x: auto;
padding: 0.5em;
background: #3f3f3f;
color: #dcdcdc;
}
.hljs-keyword,
.hljs-selector-tag,
.hljs-tag {
color: #e3ceab;
}
.hljs-template-tag {
colo... | yabellini/CSVConfv7 | 0 | Talk at CSV Conf V7 | JavaScript | yabellini | Yanina Bellini Saibene | ropensci |
index_files/libs/revealjs/plugin/markdown/markdown.esm.js | JavaScript | function e(e,t){var n=Object.keys(e);if(Object.getOwnPropertySymbols){var r=Object.getOwnPropertySymbols(e);t&&(r=r.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),n.push.apply(n,r)}return n}function t(e,t){if(!(e instanceof t))throw new TypeError("Cannot call a class as a function")}func... | yabellini/CSVConfv7 | 0 | Talk at CSV Conf V7 | JavaScript | yabellini | Yanina Bellini Saibene | ropensci |
index_files/libs/revealjs/plugin/markdown/markdown.js | JavaScript | !function(e,t){"object"==typeof exports&&"undefined"!=typeof module?module.exports=t():"function"==typeof define&&define.amd?define(t):(e="undefined"!=typeof globalThis?globalThis:e||self).RevealMarkdown=t()}(this,(function(){"use strict";function e(e,t){var n=Object.keys(e);if(Object.getOwnPropertySymbols){var r=Objec... | yabellini/CSVConfv7 | 0 | Talk at CSV Conf V7 | JavaScript | yabellini | Yanina Bellini Saibene | ropensci |
index_files/libs/revealjs/plugin/markdown/plugin.js | JavaScript | /*!
* The reveal.js markdown plugin. Handles parsing of
* markdown inside of presentations as well as loading
* of external markdown documents.
*/
import { marked } from 'marked';
const DEFAULT_SLIDE_SEPARATOR = '\r?\n---\r?\n',
DEFAULT_NOTES_SEPARATOR = 'notes?:',
DEFAULT_ELEMENT_ATTRIBUTES_SEPARATOR = '\\... | yabellini/CSVConfv7 | 0 | Talk at CSV Conf V7 | JavaScript | yabellini | Yanina Bellini Saibene | ropensci |
index_files/libs/revealjs/plugin/math/katex.js | JavaScript | /**
* A plugin which enables rendering of math equations inside
* of reveal.js slides. Essentially a thin wrapper for KaTeX.
*
* @author Hakim El Hattab
* @author Gerhard Burger
*/
export const KaTeX = () => {
let deck;
let defaultOptions = {
version: 'latest',
delimiters: [
{left: '$$', right: '$$', di... | yabellini/CSVConfv7 | 0 | Talk at CSV Conf V7 | JavaScript | yabellini | Yanina Bellini Saibene | ropensci |
index_files/libs/revealjs/plugin/math/math.esm.js | JavaScript | var t="undefined"!=typeof globalThis?globalThis:"undefined"!=typeof window?window:"undefined"!=typeof global?global:"undefined"!=typeof self?self:{},e=function(t){return t&&t.Math==Math&&t},n=e("object"==typeof globalThis&&globalThis)||e("object"==typeof window&&window)||e("object"==typeof self&&self)||e("object"==type... | yabellini/CSVConfv7 | 0 | Talk at CSV Conf V7 | JavaScript | yabellini | Yanina Bellini Saibene | ropensci |
index_files/libs/revealjs/plugin/math/math.js | JavaScript | !function(t,e){"object"==typeof exports&&"undefined"!=typeof module?module.exports=e():"function"==typeof define&&define.amd?define(e):(t="undefined"!=typeof globalThis?globalThis:t||self).RevealMath=e()}(this,(function(){"use strict";var t="undefined"!=typeof globalThis?globalThis:"undefined"!=typeof window?window:"un... | yabellini/CSVConfv7 | 0 | Talk at CSV Conf V7 | JavaScript | yabellini | Yanina Bellini Saibene | ropensci |
index_files/libs/revealjs/plugin/math/mathjax2.js | JavaScript | /**
* A plugin which enables rendering of math equations inside
* of reveal.js slides. Essentially a thin wrapper for MathJax.
*
* @author Hakim El Hattab
*/
export const MathJax2 = () => {
// The reveal.js instance this plugin is attached to
let deck;
let defaultOptions = {
messageStyle: 'none',
tex2jax:... | yabellini/CSVConfv7 | 0 | Talk at CSV Conf V7 | JavaScript | yabellini | Yanina Bellini Saibene | ropensci |
index_files/libs/revealjs/plugin/math/mathjax3.js | JavaScript | /**
* A plugin which enables rendering of math equations inside
* of reveal.js slides. Essentially a thin wrapper for MathJax 3
*
* @author Hakim El Hattab
* @author Gerhard Burger
*/
export const MathJax3 = () => {
// The reveal.js instance this plugin is attached to
let deck;
let defaultOptions = ... | yabellini/CSVConfv7 | 0 | Talk at CSV Conf V7 | JavaScript | yabellini | Yanina Bellini Saibene | ropensci |
index_files/libs/revealjs/plugin/math/plugin.js | JavaScript | import {KaTeX} from "./katex";
import {MathJax2} from "./mathjax2";
import {MathJax3} from "./mathjax3";
const defaultTypesetter = MathJax2;
/*!
* This plugin is a wrapper for the MathJax2,
* MathJax3 and KaTeX typesetter plugins.
*/
export default Plugin = Object.assign( defaultTypesetter(), {
KaTeX,
MathJax2,
... | yabellini/CSVConfv7 | 0 | Talk at CSV Conf V7 | JavaScript | yabellini | Yanina Bellini Saibene | ropensci |
index_files/libs/revealjs/plugin/notes/notes.esm.js | JavaScript | var t="undefined"!=typeof globalThis?globalThis:"undefined"!=typeof window?window:"undefined"!=typeof global?global:"undefined"!=typeof self?self:{},e=function(t){return t&&t.Math==Math&&t},n=e("object"==typeof globalThis&&globalThis)||e("object"==typeof window&&window)||e("object"==typeof self&&self)||e("object"==type... | yabellini/CSVConfv7 | 0 | Talk at CSV Conf V7 | JavaScript | yabellini | Yanina Bellini Saibene | ropensci |
index_files/libs/revealjs/plugin/notes/notes.js | JavaScript | !function(t,e){"object"==typeof exports&&"undefined"!=typeof module?module.exports=e():"function"==typeof define&&define.amd?define(e):(t="undefined"!=typeof globalThis?globalThis:t||self).RevealNotes=e()}(this,(function(){"use strict";var t="undefined"!=typeof globalThis?globalThis:"undefined"!=typeof window?window:"u... | yabellini/CSVConfv7 | 0 | Talk at CSV Conf V7 | JavaScript | yabellini | Yanina Bellini Saibene | ropensci |
index_files/libs/revealjs/plugin/notes/plugin.js | JavaScript | import speakerViewHTML from './speaker-view.html';
import { marked } from 'marked';
/**
* Handles opening of and synchronization with the reveal.js
* notes window.
*
* Handshake process:
* 1. This window posts 'connect' to notes window
* - Includes URL of presentation to show
* 2. Notes window responds with... | yabellini/CSVConfv7 | 0 | Talk at CSV Conf V7 | JavaScript | yabellini | Yanina Bellini Saibene | ropensci |
index_files/libs/revealjs/plugin/notes/speaker-view.html | HTML | <!--
NOTE: You need to build the notes plugin after making changes to this file.
-->
<html lang="en">
<head>
<meta charset="utf-8">
<title>reveal.js - Speaker View</title>
<style>
body {
font-family: Helvetica;
font-size: 18px;
}
#current-slide,
#upcoming-slide,
#speaker-controls {
... | yabellini/CSVConfv7 | 0 | Talk at CSV Conf V7 | JavaScript | yabellini | Yanina Bellini Saibene | ropensci |
index_files/libs/revealjs/plugin/pdf-export/pdfexport.js | JavaScript | var PdfExport = ( function( _Reveal ){
var Reveal = _Reveal;
var setStylesheet = null;
var installAltKeyBindings = null;
function getRevealJsPath(){
var regex = /\b[^/]+\/reveal.css$/i;
var script = Array.from( document.querySelectorAll( 'link' ) ).find( function( e ){
return e.attributes.href && e.attribu... | yabellini/CSVConfv7 | 0 | Talk at CSV Conf V7 | JavaScript | yabellini | Yanina Bellini Saibene | ropensci |
index_files/libs/revealjs/plugin/quarto-line-highlight/line-highlight.css | CSS | .reveal
div.sourceCode
pre
code.has-line-highlights
> span:not(.highlight-line) {
opacity: 0.4;
}
.reveal pre.numberSource {
padding-left: 0;
}
.reveal pre.numberSource code > span {
left: -2.1em;
}
pre.numberSource code > span > a:first-child::before {
left: -0.7em;
}
.reveal pre > code:not(:first-... | yabellini/CSVConfv7 | 0 | Talk at CSV Conf V7 | JavaScript | yabellini | Yanina Bellini Saibene | ropensci |
index_files/libs/revealjs/plugin/quarto-line-highlight/line-highlight.js | JavaScript | window.QuartoLineHighlight = function () {
function isPrintView() {
return /print-pdf/gi.test(window.location.search);
}
const delimiters = {
step: "|",
line: ",",
lineRange: "-",
};
const regex = new RegExp(
"^[\\d" + Object.values(delimiters).join("") + "]+$"
);
function handleLin... | yabellini/CSVConfv7 | 0 | Talk at CSV Conf V7 | JavaScript | yabellini | Yanina Bellini Saibene | ropensci |
index_files/libs/revealjs/plugin/quarto-support/footer.css | CSS | .reveal .slide-logo {
display: block;
position: fixed;
bottom: 0;
right: 12px;
max-height: 2.2rem;
height: 100%;
width: auto;
z-index: 2;
}
.reveal .footer {
display: block;
position: fixed;
bottom: 18px;
width: 100%;
margin: 0 auto;
text-align: center;
font-size: 18px;
z-index: 2;
}
.... | yabellini/CSVConfv7 | 0 | Talk at CSV Conf V7 | JavaScript | yabellini | Yanina Bellini Saibene | ropensci |
index_files/libs/revealjs/plugin/quarto-support/support.js | JavaScript | // catch all plugin for various quarto features
window.QuartoSupport = function () {
function isPrintView() {
return /print-pdf/gi.test(window.location.search);
}
// implement controlsAudo
function controlsAuto(deck) {
const config = deck.getConfig();
if (config.controlsAuto === true) {
const... | yabellini/CSVConfv7 | 0 | Talk at CSV Conf V7 | JavaScript | yabellini | Yanina Bellini Saibene | ropensci |
index_files/libs/revealjs/plugin/reveal-chalkboard/font-awesome/css/all.css | CSS | /*!
* Font Awesome Free 5.1.0 by @fontawesome - https://fontawesome.com
* License - https://fontawesome.com/license (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
*/
.fa,.fab,.fal,.far,.fas{-moz-osx-font-smoothing:grayscale;-webkit-font-smoothing:antialiased;display:inline-block;font-style:normal;font-var... | yabellini/CSVConfv7 | 0 | Talk at CSV Conf V7 | JavaScript | yabellini | Yanina Bellini Saibene | ropensci |
index_files/libs/revealjs/plugin/reveal-chalkboard/font-awesome/css/brands.css | CSS | /*!
* Font Awesome Free 5.1.0 by @fontawesome - https://fontawesome.com
* License - https://fontawesome.com/license (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
*/
@font-face{font-family:"Font Awesome 5 Brands";font-style:normal;font-weight:normal;src:url(../webfonts/fa-brands-400.eot);src:url(../webfon... | yabellini/CSVConfv7 | 0 | Talk at CSV Conf V7 | JavaScript | yabellini | Yanina Bellini Saibene | ropensci |
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