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GNU GENERAL PUBLIC LICENSE
Version 3, 29 June 2007
Copyright (C) 2007 Free Software Foundation, Inc. <http://fsf.org/>
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How to Apply These Terms to Your New Programs
If you develop a new program, and you want it to be of the greatest
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{one line to give the program's name and a brief idea of what it does.}
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Also add information on how to contact you by electronic and paper mail.
If the program does terminal interaction, make it output a short
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This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
This is free software, and you are welcome to redistribute it
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The hypothetical commands `show w' and `show c' should show the appropriate
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You should also get your employer (if you work as a programmer) or school,
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For more information on this, and how to apply and follow the GNU GPL, see
<http://www.gnu.org/licenses/>.
The GNU General Public License does not permit incorporating your program
into proprietary programs. If your program is a subroutine library, you
may consider it more useful to permit linking proprietary applications with
the library. If this is what you want to do, use the GNU Lesser General
Public License instead of this License. But first, please read
<http://www.gnu.org/philosophy/why-not-lgpl.html>.

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@ -1,329 +0,0 @@
# :cloud: Air - Live reload for Go apps
[![Go](https://github.com/air-verse/air/actions/workflows/release.yml/badge.svg)](https://github.com/air-verse/air/actions?query=workflow%3AGo+branch%3Amaster) [![Codacy Badge](https://app.codacy.com/project/badge/Grade/dcb95264cc504cad9c2a3d8b0795a7f8)](https://www.codacy.com/gh/air-verse/air/dashboard?utm_source=github.com&amp;utm_medium=referral&amp;utm_content=air-verse/air&amp;utm_campaign=Badge_Grade) [![Go Report Card](https://goreportcard.com/badge/github.com/air-verse/air)](https://goreportcard.com/report/github.com/air-verse/air) [![codecov](https://codecov.io/gh/air-verse/air/branch/master/graph/badge.svg)](https://codecov.io/gh/air-verse/air)
![air](docs/air.png)
English | [简体中文](README-zh_cn.md) | [繁體中文](README-zh_tw.md)
## Motivation
When I started developing websites in Go and using [gin](https://github.com/gin-gonic/gin) framework, it was a pity
that gin lacked a live-reloading function. So I searched around and tried [fresh](https://github.com/pilu/fresh), it seems not much
flexible, so I intended to rewrite it better. Finally, Air's born.
In addition, great thanks to [pilu](https://github.com/pilu), no fresh, no air :)
Air is yet another live-reloading command line utility for developing Go applications. Run `air` in your project root directory, leave it alone,
and focus on your code.
Note: This tool has nothing to do with hot-deploy for production.
## Features
* Colorful log output
* Customize build or any command
* Support excluding subdirectories
* Allow watching new directories after Air started
* Better building process
### Overwrite specify configuration from arguments
Support air config fields as arguments:
If you want to config build command and run command, you can use like the following command without the config file:
```shell
air --build.cmd "go build -o bin/api cmd/run.go" --build.bin "./bin/api"
```
Use a comma to separate items for arguments that take a list as input:
```shell
air --build.cmd "go build -o bin/api cmd/run.go" --build.bin "./bin/api" --build.exclude_dir "templates,build"
```
## Installation
### Via `go install` (Recommended)
With go 1.22 or higher:
```bash
go install github.com/air-verse/air@latest
```
### Via install.sh
```shell
# binary will be $(go env GOPATH)/bin/air
curl -sSfL https://raw.githubusercontent.com/air-verse/air/master/install.sh | sh -s -- -b $(go env GOPATH)/bin
# or install it into ./bin/
curl -sSfL https://raw.githubusercontent.com/air-verse/air/master/install.sh | sh -s
air -v
```
### Via [goblin.run](https://goblin.run)
```shell
# binary will be /usr/local/bin/air
curl -sSfL https://goblin.run/github.com/air-verse/air | sh
# to put to a custom path
curl -sSfL https://goblin.run/github.com/air-verse/air | PREFIX=/tmp sh
```
### Docker/Podman
Please pull this Docker image [cosmtrek/air](https://hub.docker.com/r/cosmtrek/air).
```shell
docker/podman run -it --rm \
-w "<PROJECT>" \
-e "air_wd=<PROJECT>" \
-v $(pwd):<PROJECT> \
-p <PORT>:<APP SERVER PORT> \
cosmtrek/air
-c <CONF>
```
#### Docker/Podman .${SHELL}rc
if you want to use air continuously like a normal app, you can create a function in your ${SHELL}rc (Bash, Zsh, etc…)
```shell
air() {
podman/docker run -it --rm \
-w "$PWD" -v "$PWD":"$PWD" \
-p "$AIR_PORT":"$AIR_PORT" \
docker.io/cosmtrek/air "$@"
}
```
`<PROJECT>` is your project path in container, eg: /go/example
if you want to enter the container, Please add --entrypoint=bash.
<details>
<summary>For example</summary>
One of my project runs in Docker:
```shell
docker run -it --rm \
-w "/go/src/github.com/cosmtrek/hub" \
-v $(pwd):/go/src/github.com/cosmtrek/hub \
-p 9090:9090 \
cosmtrek/air
```
Another example:
```shell
cd /go/src/github.com/cosmtrek/hub
AIR_PORT=8080 air -c "config.toml"
```
this will replace `$PWD` with the current directory, `$AIR_PORT` is the port where to publish and `$@` is to accept arguments of the application itself for example -c
</details>
## Usage
For less typing, you could add `alias air='~/.air'` to your `.bashrc` or `.zshrc`.
First enter into your project
```shell
cd /path/to/your_project
```
The simplest usage is run
```shell
# firstly find `.air.toml` in current directory, if not found, use defaults
air -c .air.toml
```
You can initialize the `.air.toml` configuration file to the current directory with the default settings running the following command.
```shell
air init
```
After this, you can just run the `air` command without additional arguments, and it will use the `.air.toml` file for configuration.
```shell
air
```
For modifying the configuration refer to the [air_example.toml](air_example.toml) file.
### Runtime arguments
You can pass arguments for running the built binary by adding them after the air command.
```shell
# Will run ./tmp/main bench
air bench
# Will run ./tmp/main server --port 8080
air server --port 8080
```
You can separate the arguments passed for the air command and the built binary with `--` argument.
```shell
# Will run ./tmp/main -h
air -- -h
# Will run air with custom config and pass -h argument to the built binary
air -c .air.toml -- -h
```
### Docker Compose
```yaml
services:
my-project-with-air:
image: cosmtrek/air
# working_dir value has to be the same of mapped volume
working_dir: /project-package
ports:
- <any>:<any>
environment:
- ENV_A=${ENV_A}
- ENV_B=${ENV_B}
- ENV_C=${ENV_C}
volumes:
- ./project-relative-path/:/project-package/
```
### Debug
`air -d` prints all logs.
## Installation and Usage for Docker users who don't want to use air image
`Dockerfile`
```Dockerfile
# Choose whatever you want, version >= 1.16
FROM golang:1.22-alpine
WORKDIR /app
RUN go install github.com/air-verse/air@latest
COPY go.mod go.sum ./
RUN go mod download
CMD ["air", "-c", ".air.toml"]
```
`docker-compose.yaml`
```yaml
version: "3.8"
services:
web:
build:
context: .
# Correct the path to your Dockerfile
dockerfile: Dockerfile
ports:
- 8080:3000
# Important to bind/mount your codebase dir to /app dir for live reload
volumes:
- ./:/app
```
## Q&A
### "command not found: air" or "No such file or directory"
```shell
export GOPATH=$HOME/xxxxx
export PATH=$PATH:$GOROOT/bin:$GOPATH/bin
export PATH=$PATH:$(go env GOPATH)/bin <---- Confirm this line in you profile!!!
```
### Error under wsl when ' is included in the bin
Should use `\` to escape the `' in the bin. related issue: [#305](https://github.com/air-verse/air/issues/305)
### Question: how to do hot compile only and do not run anything?
[#365](https://github.com/air-verse/air/issues/365)
```toml
[build]
cmd = "/usr/bin/true"
```
### How to Reload the Browser Automatically on Static File Changes
Refer to issue [#512](https://github.com/air-verse/air/issues/512) for additional details.
* Ensure your static files in `include_dir`, `include_ext`, or `include_file`.
* Ensure your HTML has a `</body>` tag
* Activate the proxy by configuring the following config:
```toml
[proxy]
enabled = true
proxy_port = <air proxy port>
app_port = <your server port>
```
## Development
Please note that it requires Go 1.16+ since I use `go mod` to manage dependencies.
```shell
# Fork this project
# Clone it
mkdir -p $GOPATH/src/github.com/cosmtrek
cd $GOPATH/src/github.com/cosmtrek
git clone git@github.com:<YOUR USERNAME>/air.git
# Install dependencies
cd air
make ci
# Explore it and happy hacking!
make install
```
Pull requests are welcome.
### Release
```shell
# Checkout to master
git checkout master
# Add the version that needs to be released
git tag v1.xx.x
# Push to remote
git push origin v1.xx.x
# The CI will process and release a new version. Wait about 5 min, and you can fetch the latest version
```
## Star History
[![Star History Chart](https://api.star-history.com/svg?repos=air-verse/air&type=Date)](https://star-history.com/#air-verse/air&Date)
## Sponsor
[![Buy Me A Coffee](https://cdn.buymeacoffee.com/buttons/default-orange.png)](https://www.buymeacoffee.com/cosmtrek)
Give huge thanks to lots of supporters. I've always been remembering your kindness.
## License
[GNU General Public License v3.0](LICENSE)

57
config.yml Normal file
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@ -0,0 +1,57 @@
measurements:
- name: arm_length
landmarks:
- 11
- 13
- 15
- name: leg_length
landmarks:
- 23
- 25
- 27
- name: shoulder_length
landmarks:
- 11
- 12
- name: neck_to_hip_length
landmarks:
- 11
- 23
#0 - nose
#1 - left eye (inner)
#2 - left eye
#3 - left eye (outer)
#4 - right eye (inner)
#5 - right eye
#6 - right eye (outer)
#7 - left ear
#8 - right ear
#9 - mouth (left)
#10 - mouth (right)
#11 - left shoulder
#12 - right shoulder
#13 - left elbow
#14 - right elbow
#15 - left wrist
#16 - right wrist
#17 - left pinky
#18 - right pinky
#19 - left index
#20 - right index
#21 - left thumb
#22 - right thumb
#23 - left hip
#24 - right hip
#25 - left knee
#26 - right knee
#27 - left ankle
#28 - right ankle
#29 - left heel
#30 - right heel
#31 - left foot index
#32 - right foot index

BIN
landmarks.bin Executable file
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296
landmarks.py
View File

@ -1,50 +1,54 @@
import warnings import logging
import os import os
import warnings
import sys
os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"
from tabulate import tabulate from tabulate import tabulate
import math import math
import argparse import argparse
import cv2 import cv2
from mediapipe.python.solutions import pose from mediapipe.python.solutions import (
import logging pose,
)
warnings.filterwarnings("ignore", import yaml
logging.basicConfig(level=logging.INFO)
warnings.filterwarnings(
"ignore",
category=UserWarning, category=UserWarning,
module="google.protobuf") module="google.protobuf",
)
os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"
class Landmarker: class Landmarker:
resized_height = 256 resized_height = 256
resized_width = 300 resized_width = 256
def __init__(self) -> None: def __init__(self) -> None:
args = self.parse_args() self.args = self.parse_args()
if args.front_image == None: self.measurements = self.load_landmarks()
if self.args.front_image is None:
raise Exception("front image needs to be passed") raise Exception("front image needs to be passed")
if args.side_image == None: if self.args.side_image is None:
raise Exception("side image needs to be passed") raise Exception("side image needs to be passed")
self.front_image = cv2.imread(args.front_image) self.front_image = cv2.imread(self.args.front_image)
self.side_image = cv2.imread(args.side_image) self.side_image = cv2.imread(self.args.side_image)
self.front_image_resized = cv2.resize( self.front_image_resized = cv2.resize(self.front_image, (self.resized_height, self.resized_width))
self.front_image, (self.resized_height, self.resized_width)) self.side_image_resized = cv2.resize(self.side_image, (self.resized_height, self.resized_width))
self.side_image_resized = cv2.resize(
self.side_image, (self.resized_height, self.resized_width))
self.distances = {} self.distances = {}
self.person_height = args.person_height self.person_height = self.args.person_height
self.pixel_height = args.pixel_height self.pixel_height = self.args.pixel_height
self.pose = pose.Pose( self.pose = pose.Pose(
static_image_mode=True, static_image_mode=True,
min_detection_confidence=args.pose_detection_confidence, min_detection_confidence=self.args.pose_detection_confidence,
min_tracking_confidence=args.pose_tracking_confidence, min_tracking_confidence=self.args.pose_tracking_confidence,
) )
self.landmarks_to_calculate = []
self.landmarks_indices = [ self.landmarks_indices = [
pose.PoseLandmark.LEFT_SHOULDER.value, pose.PoseLandmark.LEFT_SHOULDER.value,
pose.PoseLandmark.RIGHT_SHOULDER.value, pose.PoseLandmark.RIGHT_SHOULDER.value,
@ -60,16 +64,28 @@ class Landmarker:
pose.PoseLandmark.RIGHT_ANKLE.value, pose.PoseLandmark.RIGHT_ANKLE.value,
] ]
def load_landmarks(self):
with open(self.args.yaml_file, "r") as file:
landmarks_data = yaml.safe_load(file)
measurements = {}
for measurement in landmarks_data["measurements"]:
measurements[measurement["name"]] = measurement["landmarks"]
return measurements
def parse_args(self): def parse_args(self):
parser = argparse.ArgumentParser() parser = argparse.ArgumentParser()
parser.add_argument("--front", parser.add_argument(
"--front",
dest="front_image", dest="front_image",
type=str, type=str,
help="Front image") help="Front image",
parser.add_argument("--side", )
parser.add_argument(
"--side",
dest="side_image", dest="side_image",
type=str, type=str,
help="Side image") help="Side image",
)
parser.add_argument( parser.add_argument(
"--pose_detection_confidence", "--pose_detection_confidence",
dest="pose_detection_confidence", dest="pose_detection_confidence",
@ -86,43 +102,74 @@ class Landmarker:
) )
parser.add_argument( parser.add_argument(
"--person_height", "--person_height",
# default=153,
dest="person_height", dest="person_height",
type=int, type=int,
help="person height of person", help="person height of person",
) )
parser.add_argument( parser.add_argument(
"--pixel_height", "--pixel_height",
# default=216,
dest="pixel_height", dest="pixel_height",
type=int, type=int,
help="pixel height of person", help="pixel height of person",
) )
parser.add_argument(
"--measurement",
dest="measurement",
nargs="+",
type=str,
help="Type of measurement",
)
parser.add_argument(
"--yaml_file",
dest="yaml_file",
type=str,
help="Path to the YAML file containing landmarks",
)
return parser.parse_args() return parser.parse_args()
def run(self): def run(self):
front_results, _ = self.process_images()
logging.warning("person's height: %s", self.person_height)
logging.warning("person's pixel height: %s", self.pixel_height)
front_results, side_results = self.process_images()
self.get_center_top_point(front_results) self.get_center_top_point(front_results)
self.calculate_distance_betn_landmarks(front_results) table = []
if self.args.measurement:
for m in self.args.measurement:
if m not in self.measurements:
raise Exception("Incorrect input (input not present in config.yml)")
else:
distance = self.calculate_distance_betn_landmarks(front_results, m)
table.append([m, distance])
else:
for m in self.measurements:
distance = self.calculate_distance_betn_landmarks(front_results, m)
table.append([m, distance])
self.output() output = tabulate(
table,
self.display_images() headers=[
"measurement",
"Distance (cm)",
],
tablefmt="plain",
)
print(output)
self.pose.close() self.pose.close()
def process_images(self): def process_images(self):
front_results = self.pose.process( front_results = self.pose.process(
cv2.cvtColor(self.front_image_resized, cv2.COLOR_BGR2RGB)) cv2.cvtColor(
self.front_image_resized,
cv2.COLOR_BGR2RGB,
)
)
side_results = self.pose.process( side_results = self.pose.process(
cv2.cvtColor(self.side_image_resized, cv2.COLOR_BGR2RGB)) cv2.cvtColor(
self.side_image_resized,
cv2.COLOR_BGR2RGB,
)
)
self.side_image_keypoints = self.side_image_resized.copy() self.side_image_keypoints = self.side_image_resized.copy()
self.front_image_keypoints = self.front_image_resized.copy() self.front_image_keypoints = self.front_image_resized.copy()
@ -139,12 +186,18 @@ class Landmarker:
side_results.pose_landmarks, # type: ignore# type: ignore side_results.pose_landmarks, # type: ignore# type: ignore
self.landmarks_indices, self.landmarks_indices,
) )
return front_results, side_results return (
front_results,
side_results,
)
def pixel_to_metric_ratio(self): def pixel_to_metric_ratio(self):
self.pixel_height = self.pixel_distance * 2 self.pixel_height = self.pixel_distance * 2
pixel_to_metric_ratio = self.person_height / self.pixel_height pixel_to_metric_ratio = self.person_height / self.pixel_height
logging.warning("pixel_to_metric_ratio %s", pixel_to_metric_ratio) logging.debug(
"pixel_to_metric_ratio %s",
pixel_to_metric_ratio,
)
return pixel_to_metric_ratio return pixel_to_metric_ratio
def draw_landmarks(self, image, landmarks, indices): def draw_landmarks(self, image, landmarks, indices):
@ -155,112 +208,77 @@ class Landmarker:
self.circle(image, cx, cy) self.circle(image, cx, cy)
def circle(self, image, cx, cy): def circle(self, image, cx, cy):
return cv2.circle(image, (cx, cy), 2, (255, 0, 0), -1) return cv2.circle(
image,
(cx, cy),
2,
(255, 0, 0),
-1,
)
def output(self): def calculate_distance_betn_landmarks(
table = [] self,
for landmark, distance in self.distances.items(): front_results,
table.append([landmark.replace("_", " "), distance]) measurement_name,
output = tabulate(table, ):
headers=["measurement", "value"],
tablefmt="grid")
print(output)
def calculate_distance_betn_landmarks(self, front_results, landmarks=[]):
if not front_results.pose_landmarks: if not front_results.pose_landmarks:
return return
landmarks = front_results.pose_landmarks.landmark landmarks = front_results.pose_landmarks.landmark
leg_landmarks = [ landmark_names = self.measurements[measurement_name]
pose.PoseLandmark.LEFT_HIP,
pose.PoseLandmark.LEFT_KNEE,
pose.PoseLandmark.LEFT_ANKLE,
]
hand_landmarks = [
pose.PoseLandmark.LEFT_SHOULDER,
pose.PoseLandmark.LEFT_ELBOW,
pose.PoseLandmark.LEFT_WRIST,
]
self.landmarks_to_calculate = leg_landmarks + hand_landmarks
# self.landmarks_to_calculate = [
# pose.PoseLandmark.LEFT_SHOULDER,
# pose.PoseLandmark.LEFT_ELBOW,
# pose.PoseLandmark.LEFT_WRIST,
# ]
table = [] total_distance = 0
for idx, l in enumerate(self.landmarks_to_calculate): for idx in range(len(landmark_names) - 1):
if idx < len(self.landmarks_to_calculate) - 1: _current = landmarks[landmark_names[idx]]
_current = landmarks[l.value] _next = landmarks[landmark_names[idx + 1]]
_nextl = self.landmarks_to_calculate[idx + 1]
_next = landmarks[_nextl.value]
pixel_distance = self.euclidean_distance( pixel_distance = self.euclidean_distance(
_current.x * self.resized_width, _current.x * self.resized_width,
_current.y * self.resized_height, _current.y * self.resized_height,
_next.x * self.resized_width, _next.x * self.resized_width,
_next.y * self.resized_height) _next.y * self.resized_height,
)
real_distance = pixel_distance * self.pixel_to_metric_ratio() real_distance = pixel_distance * self.pixel_to_metric_ratio()
table.append([l.name, _nextl.name, real_distance]) total_distance += real_distance
return total_distance
output = tabulate(
table,
headers=["Landmark 1", "Landmark 2", "Distance (cm)"],
tablefmt="grid")
print(output)
# for l in self.landmarks_to_calculate:
# real_distance = 0
# for idx, l in enumerate(self.landmarks_to_calculate):
# if idx < len(self.landmarks_to_calculate) - 1:
# _current = landmarks[l.value]
# _nextl = self.landmarks_to_calculate[idx + 1]
# _next = landmarks[_nextl.value]
# pixel_distance = self.euclidean_distance(
# _current.x * self.resized_width,
# _current.y * self.resized_height,
# _next.x * self.resized_width,
# _next.y * self.resized_height,
# )
# real_distance += pixel_distance * self.pixel_to_metric_ratio(
# )
# print(real_distance)
# self.distances[l.name] = real_distance
#
def euclidean_distance(self, x1, y1, x2, y2): def euclidean_distance(self, x1, y1, x2, y2):
distance = math.sqrt((x2 - x1) ** 2 + (y2 - y1) ** 2) distance = math.sqrt((x2 - x1) ** 2 + (y2 - y1) ** 2)
return distance return distance
def destroy(self):
cv2.destroyAllWindows()
def display_images(self):
cv2.imshow("front_image_keypoints", self.front_image_keypoints)
cv2.imshow("side_image_keypoints", self.side_image_keypoints)
cv2.imshow("edges", self.edges)
cv2.waitKey(0)
def get_center_top_point(self, side_results): def get_center_top_point(self, side_results):
gray_image = cv2.cvtColor(self.side_image_keypoints, gray_image = cv2.cvtColor(
cv2.COLOR_BGR2GRAY) self.side_image_keypoints,
cv2.COLOR_BGR2GRAY,
)
blurred_image = cv2.GaussianBlur(gray_image, (5, 5), 0) blurred_image = cv2.GaussianBlur(gray_image, (5, 5), 0)
roi = blurred_image[0:int(self.side_image_resized.shape[0] / 2), :] roi = blurred_image[
0 : int(self.side_image_resized.shape[0] / 2),
:,
]
self.edges = cv2.Canny(roi, 50, 150) self.edges = cv2.Canny(roi, 50, 150)
contours, _ = cv2.findContours(self.edges, cv2.RETR_EXTERNAL, contours, _ = cv2.findContours(
cv2.CHAIN_APPROX_SIMPLE) self.edges,
cv2.RETR_EXTERNAL,
cv2.CHAIN_APPROX_SIMPLE,
)
xt, yt = None, None xt, yt = None, None
self.topmost_point = None self.topmost_point = None
if contours: if contours:
largest_contour = max(contours, key=cv2.contourArea) largest_contour = max(
self.topmost_point = tuple( contours,
largest_contour[largest_contour[:, :, 1].argmin()][0]) key=cv2.contourArea,
)
self.topmost_point = tuple(largest_contour[largest_contour[:, :, 1].argmin()][0])
xt, yt = self.topmost_point xt, yt = self.topmost_point
self.circle(self.side_image_keypoints, xt, yt)
logging.warning("xt: %s", xt) cv2.circle(
logging.warning("yt: %s", yt) self.side_image_keypoints,
(xt, yt),
2,
(255, 255, 0),
-1,
)
xc, yc = None, None xc, yc = None, None
landmarks = side_results.pose_landmarks.landmark landmarks = side_results.pose_landmarks.landmark
@ -276,23 +294,29 @@ class Landmarker:
int(center_point[1] * self.side_image_resized.shape[0]), int(center_point[1] * self.side_image_resized.shape[0]),
) )
xc, yc = center_point xc, yc = center_point
logging.warning("xc: %s", xc) self.circle(
logging.warning("yc: %s", yc) self.side_image_keypoints,
self.circle(self.side_image_keypoints, xc, yc) xc,
yc,
)
self.pixel_distance = self.euclidean_distance(xc, yc, xt, yt) self.pixel_distance = self.euclidean_distance(xc, yc, xt, yt)
logging.warning("top_center_pixel_distance: %s", logging.debug(
self.pixel_distance) "top_center_pixel_distance: %s",
self.pixel_distance,
)
self.pixel_height = self.pixel_distance * 2 self.pixel_height = self.pixel_distance * 2
logging.warning("pxl height: %s ", self.pixel_height) logging.debug(
self.distance = (self.euclidean_distance(xc, yc, xt, yt) * "pixel height: %s ",
self.pixel_to_metric_ratio()) self.pixel_height,
)
self.distance = self.euclidean_distance(xc, yc, xt, yt) * self.pixel_to_metric_ratio()
return self.distance return self.distance
l = Landmarker() l = Landmarker()
try: try:
l.run() l.run()
except: except Exception as e:
print("error") print(e)
finally:
l.destroy()

3
pyproject.toml Normal file
View File

@ -0,0 +1,3 @@
[tool.black]
line-length = 120