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dvf-0.1.2
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مشاهده بیشترتوضیحات
A dual vector foil (二向箔) that squashes any Python objects into your console.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | dvf-0.1.2 |
| نام | dvf |
| نسخه کتابخانه | 0.1.2 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | liwt31 |
| ایمیل نویسنده | liwt31@163.com |
| آدرس صفحه اصلی | https://github.com/liwt31/dual_vector_foil |
| آدرس اینترنتی | https://pypi.org/project/dvf/ |
| مجوز | MIT |
# dual_vector_foil
[](https://travis-ci.org/liwt31/dual_vector_foil)
[](https://badge.fury.io/py/dvf)
A dual vector foil（[二向箔](https://zh.wikipedia.org/wiki/%E4%B8%89%E4%BD%93%E7%94%A8%E8%AF%AD%E5%88%97%E8%A1%A8#%E4%BA%8C%E5%90%91%E7%AE%94)） that squashes any Python objects into your console
## Introduction
Simply speaking, `dvf` (dual vector foil) is a recursive pretty printer for any objects in Python. It allows you to inspect Python object in a simple and comprehensive way. Checkout the following example:
## Example on Flask app
`Flask` app is very complex Python object, and `dvf` can use paging (`less`) to wrap the output. If the GIF doesn't show immediately, be patient, it's about 10 MB large (click to zoom in):
If your eyes are sharp enough, you'll find a warning at the end of the gif. That's because `dvf` tries to access some attributes of `Flask` that are only valid in a request context. The warning is quite common for complex objects.
## Installation
```
pip install dvf
```
The project is still under development, so any report on bugs is highly appreciated.
The development is under Python 3.7 and Python 3.6 is also tested. The package provides **no Python <= 3.5 support**.
## Philosophy
#### Why not `dir` or `__dict__`
There is already an amazing inspection package [`pdir`](https://github.com/laike9m/pdir2), which emphasize on the **usage** of modules and objects, while `dvf` is aiming at **data and internal structure** of objects.
As a result, `dvf` will by default omit any object attributes that have type of function, module or class, and will try its best to expand any iterable to see what really lies in .
#### Safety concern
As you might have gaused, it's not wise to use `dvf` on untrusted object because `dvf` will have to evoke some methods of the object to evaluate attributes. Is this a foundamental flaw of `dvf`? I think not.
Because if an object is really malicious, it can delete your system when it's imported, why wait untill `dvf` to check it?
#### Deal with loops
The biggest problem of `dvf` is loops in objects. The following class has a pointer points to himself. A simple recursion implementation of `dvf` will result in an infinite loop.
```python
class Foo:
def __init__(self):
self.another_me = self
```
To solve this economically, `dvf` records every object it has visited and omit them next time it meet the object. That's why sometimes a complete view of certain objects is not possible.
Another troublesome case is object creation during attribute access. A typical example is `NumPy` array, which has an attribute of `T` that returns the transpose of the array,
which has another `T` that returns another new array. So there is also an infinite loop. To solve this `dvf` should be very cautious toward data descriptors. Some result gained from descriptors will not be expanded.
## Todo list
- [ ] User-custom searching and filtering
- [ ] Docs on output format
- [x] Tests
- [ ] Use `prompt_toolkit` to build an application that can handle wide output (horizontally scollable)
نیازمندی
| مقدار | نام |
|---|---|
| - | print-tree2 |
| - | colorama |
| - | termcolor |
نحوه نصب
نصب پکیج whl dvf-0.1.2:
pip install dvf-0.1.2.whl
نصب پکیج tar.gz dvf-0.1.2:
pip install dvf-0.1.2.tar.gz