# Async-Tio
This is a simple unofficial async Api-wrapper for [tio.run](https://tio.run/#)
**Installation**
```bash
$ py -m pip install async_tio
```
**Install Latest**
```bash
$ py -m pip install git+https://github.com/Tom-the-Bomb/async-tio.git
```
**Example**
```py
# assuming you are already inside an async environment and have already imported everything
# to instantiate
# recommended to have a global class if you are going to run .execute more than 1 time throughout the program
# alternatively you can use the async context manager if it's a one time use:
# async with async_tio.Tio() as tio: ...
tio = async_tio.Tio() # Optional 'loop' and 'session' kwargs etc. if needed
# to execute
output = await tio.execute("print('')", language="python3") # pass in other optional kwargs if needed
print(str(output)) # the formatted output along with the stats
print(output.stdout) # the output by itself
print(int(output)) # returns the exit status
# print(vars(output).keys())
# -> dict_keys(['token', 'output', 'stdout', 'real_time', 'user_time', 'sys_time', 'cpu_usage', 'exit_status'])
# all the attributes of the response object you can access
```
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"description": "# Async-Tio\nThis is a simple unofficial async Api-wrapper for [tio.run](https://tio.run/#)\n\n**Installation**\n```bash\n$ py -m pip install async_tio\n```\n**Install Latest**\n```bash\n$ py -m pip install git+https://github.com/Tom-the-Bomb/async-tio.git\n```\n**Example**\n\n```py\n# assuming you are already inside an async environment and have already imported everything\n# to instantiate\n# recommended to have a global class if you are going to run .execute more than 1 time throughout the program\n# alternatively you can use the async context manager if it's a one time use:\n# async with async_tio.Tio() as tio: ...\ntio = async_tio.Tio() # Optional 'loop' and 'session' kwargs etc. if needed\n\n# to execute\noutput = await tio.execute(\"print('')\", language=\"python3\") # pass in other optional kwargs if needed\n\nprint(str(output)) # the formatted output along with the stats\nprint(output.stdout) # the output by itself\nprint(int(output)) # returns the exit status\n\n# print(vars(output).keys())\n# -> dict_keys(['token', 'output', 'stdout', 'real_time', 'user_time', 'sys_time', 'cpu_usage', 'exit_status'])\n# all the attributes of the response object you can access\n```\n\n",
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