semvec/pypi-packages huggingface dataset:
metrace 1.0.1
cpu and memory tracing for process trees
Keywords: metrace cpu memory trace

[![Latest Version](https://img.shields.io/pypi/v/metrace.svg)](https://pypi.python.org/pypi/metrace) [![Python Support](https://img.shields.io/pypi/pyversions/metrace.svg)](https://pypi.python.org/pypi/metrace)

# Metrace - cpu/memory tracing for process trees

Metrace makes it easy to get a nice interactive html plot of the cpu/memory usage of a whole process tree.


<kbd>
<img src="https://raw.githubusercontent.com/sloev/metrace/master/docs/report.png" width="550">
</kbd>


## Install

Metrace depends on `Plotly` and `Psutil`, both will be installed with metrace using pip:

```
$ pip install metrace
```

## Client usage (optional)

Metrace lets you annotate specific parts of your code with scopes and these will become part of your final plot output and end up look like this:


<kbd>
<img src="https://raw.githubusercontent.com/sloev/metrace/master/docs/trace_annotation.png" width="200">
</kbd>


Metrace gives you a context manager `trace` you can wrap code blocks with:

```
$ cat foobar.py

from metrace import trace

with trace('creating 1000 objects'):
    l = []
    for i in range(1000):
        l.append(object())
```

To collect these traces you run your script with metrace as usual:

```
$ metrace run python foobar.py
```

## Commandline Usage

After installation you will have the **metrace** command available.

```
$ metrace run python main.py && metrace plot
```

**It has two subcommands:**

### run

```
$ metrace run python foobar.py
```

Runs a process and collects cpu/memory metrics for both the process and its children seperately.

Metrace outputs the metrics in a json file in current working directory named like: `metrace_1568385178098218.json` with the number being milliseconds since epoch.

### plot

```
$ metrace plot
# or
# to not open the html report automatically:
$ metrace plot --autoopen=no
# or
# to specify input/output files
$ metrace plot -i metrace_1568385178098218.json -o metrace_report.html
```

Plots cpu/memory usage for a given, or latest found, `metrace json file`.

Output is a html file where you can download the images, zoom in and hover to inspect the different traces.


## Samples

Docs folder contains a sample of a [metrace json file](./docs/metrace_1568385178098218.json) and a [metrace html report](./docs/metrace_report.html)

# Attribution

[plotly.min.js](https://github.com/plotly/plotly.js) Licensed under MIT, has been included in this library here: [metrace/plotly_latest.min.js](./metrace/plotly_latest.min.js)
eatable 0.1.3
Eatable Code

# Eatable Dataset Code

可食用数据集代码

## Target

支持大部分开放的深度学习相关数据集的解析和读取。

## Dependences

+ opencv-python
+ numpy

## Installation

```sh
python setup.py install
```

## Support

+ [x] Coco Dataset
+ [ ] Captcha
+ [ ] CatDog


## Wishes

所有听说、接触、使用此仓库的人，都能够获得暂时的快乐和永久不变的快乐。