initial commit

Author: TharukaCkasthuri

.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/

README.md

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+# Installation Instruction for Jaclang Jupyter Kernel
+
+- Step 1: Open the Terminal and go to `jaclang/support/`
+- Step 2: Run the command `jupyter kernelspec install --replace --user jupyter_kernel`
+- Step 3: Start the Jupyter Notebook; If you already installed you have to refresh the server.
+- Step 4: Open a new notebook and select the kernel as the `Jac`,
+
+![Alt Text](start_image.png)

examples/simple_example.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c37e3f66",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\"\"\" This is a Hello World Program \"\"\"\n",
+    "\n",
+    "with entry{\n",
+    "    print(\"Hello world\");\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "87b5906e",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Jac",
+   "language": "",
+   "name": "jackernel"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

jackernel/__init__.py

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+"""Init file for jackernel."""

jackernel/kernel.json

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+{
+    "argv": [
+        "python",
+        "-m",
+        "jackernel.kernel",
+        "-f",
+        "{connection_file}"
+    ],
+    "display_name": "Jac",
+    "language_info": {
+        "name": "python",
+        "mimetype": "text/plain",
+        "pygments_lexer": "jac_lexer",
+        "file_extension": ".jac"
+    }
+}

jackernel/kernel.py

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+"""
+Jac Kernel for Jupyter.
+
+This module provides a Jupyter kernel for the Jac programming language. It allows you to execute Jac code
+in Jupyter notebooks and captures and displays the output.
+
+Version: 1.0.0
+"""
+
+import contextlib
+import os
+import os.path as op
+import tempfile
+from io import StringIO
+
+from ipykernel.kernelapp import IPKernelApp
+from ipykernel.kernelbase import Kernel
+
+from jaclang import jac_blue_import as jac_import
+from jackernel.syntax_hilighter import JacLexer
+
+from pygments import lexers
+
+# jac_lexer = lexers.load_lexer_from_file("syntax_hilighter.py", "JacLexer")
+
+jac_lexer = JacLexer()
+
+
+def exec_jac(code: str) -> str:
+    """Compile, jac code, and execute and return the output."""
+    with tempfile.TemporaryDirectory() as tmpdir:
+        source_path = op.join(tmpdir, "temp.jac")
+
+        # Write the code to the jac file.
+        with open(source_path, "w") as f:
+            f.write(code)
+
+        try:
+            jac_import(op.join(tmpdir, "temp"))
+            # Import the jac file, this generates the __jac_gen__ folder at the same level as the jac file,
+            # This folder contains the python file that we want to execute.
+            script_path = op.join(tmpdir, "__jac_gen__/temp.py")
+
+            with open(script_path, "r") as script_file:
+                script_code = script_file.read()
+                stdout_capture = (
+                    StringIO()
+                )  # You need to import StringIO from io module
+
+                with contextlib.redirect_stdout(stdout_capture):
+                    exec(script_code)
+
+                captured_output = stdout_capture.getvalue()
+
+        except Exception as e:
+            captured_output = "Exception: " + str(e)
+            return captured_output
+
+        finally:
+            pass
+
+
+class JacKernel(Kernel):
+    """Jac wrapper kernel."""
+
+    implementation = "jac"
+    implementation_version = "0.0"
+    language = "python"  # For syntax hilighting
+    language_version = "1.0"
+    language_info = {
+        "name": "python",
+        "mimetype": "text/plain",
+        "pygments_lexer": "jac_lexer",
+        "file_extension": ".jac",
+    }
+
+    banner = "Jac kernel for Jupyter (main), version 1.0.0a4\n\n"
+
+    def do_execute(
+        self,
+        code: str,
+        silent: bool,
+        store_history: bool = True,
+        user_expressions: dict = None,
+        allow_stdin: bool = False,
+        stop_on_error: bool = False,
+    ) -> dict:
+        """Execute the code and return the result."""
+        if not silent:
+            try:
+                output = exec_jac(code)
+                stream_content = {"name": "stdout", "text": output}
+                self.send_response(self.iopub_socket, "stream", stream_content)
+
+            except Exception as e:
+                # Send the exception as an error message to the frontend.
+                error_content = {
+                    "ename": type(e).__name__,
+                    "evalue": str(e),
+                    "traceback": [],
+                }
+                self.send_response(self.iopub_socket, "error", error_content)
+
+                return {
+                    "status": "error",
+                    "execution_count": self.execution_count,
+                }
+
+            finally:
+                pass
+
+        # Return the execution result.
+        return {
+            "status": "ok",
+            "execution_count": self.execution_count,
+            "payload": [],
+            "user_expressions": {},
+        }
+
+
+if __name__ == "__main__":
+    IPKernelApp.launch_instance(kernel_class=JacKernel)

jackernel/resources/__init__.py

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+_ICON_PATH = (
+    "https://www.jaseci.org/wp-content/uploads/2022/02/jaseki-logo-inverted-rgb.svg"
+)