如题

from pydantic import BaseModel
from objprint import op


class pyt_class(BaseModel):
    x: int
    y: int


obj_test = pyt_class(x=0, y=1)

op(obj_test)
print(obj_test)

他打印：

x=0 y=1
x=0 y=1

希望后续更新能够支持！ (B站码农高天的视频我是期期都看,期期都三连)

The https://github.com/gruns/icecream lib has an useful feature where it also prints the expression. Please see the following example:

d = {'key': {1: 'one'}}
ic(d['key'][1])

class klass():
    attr = 'yep'
ic(klass.attr)

It prints:

ic| d['key'][1]: 'one'
ic| klass.attr: 'yep'

As you can see icecream lib also prints the expression d['key'][1]. Is it possible to add this feature? This is the only feature holding me back from switching to objprint.

import hashlib op(hashlib) <module 'hashlib' from 'C:\Users\guojoan\AppData\Local\Programs\Python\Python310\lib\hashlib.py'> <module 'hashlib' from 'C:\Users\guojoan\AppData\Local\Programs\Python\Python310\lib\hashlib.py'>

a = [] a.append(a) op(a) [[ ... ]] [[...]]

and so on

通过type 构建的 class 通过 op 正确打印，这个feature 能否实现？

from objprint import op

class Action:
    pass

def Category(label):
    return type("MCategory", (Action,), {"label": label,
                                        "__type__": "category"})


class ECategory(Action):
    def __init__(self,label):
        self.label = label
        self.__type__ = 'category'



mm = Category('test')
nn = ECategory('test')
op(mm)
op(nn)

>> <class '__main__.MCategory'>
>> <UCategory 0x1f2da7b2b00
>>   .label = 'test'
>> >

您好！我正在使用objprint跟踪迭代过程，代码大致如下：

for i in range(i_max):
    obj.step()
    op(obj)

已知obj中有些变量在执行step后是不发生改变的，在第二次到最后一次调用op时，是否能够不打印这些变量？也就是只打印发生了变化的变量？

I used pyreadstat module to read a simple SAS file. the code goes like this in jupyter notebook

import pyreadstat as pyrs
from objprint import op

sas_path = './test_sas/foo.sas7bdat'
df, meta = pyrs.read_sas7bdat(sas_path, metadataonly=True)
# just wanted to check out what meta contains 
op(meta)

the brief output of current cell seems normal

Output exceeds the [size limit]. Open the full output data[ in a text editor]
<metadata_container 0x1bcf4bfa3e0
  .column_labels = [
    'projectid',
    'project',
...
    'project': '$'
  },
  .variable_value_labels = {}
>
<pyreadstat._readstat_parser.metadata_container at 0x1bcf4bfa3e0>

but after I clicked "in a text editor", the first lines look like this:

<metadata_container 0x1bcf4bfa3e0
  .column_labels = [
    'projectid',
    'project',

the weird characters actually look like small suqares contains 3 small letters ESC in the text editor.

测试代码：

from enum import Enum
from objprint import op,add_objprint

class temp_a(Enum):
    a = 1

@add_objprint
class temp_b(Enum):
    b = 1

print("temp_a:\n",temp_a,"\n")

print("temp_a.a:\n",temp_a.a,"\n")

print("op_temp_a:")
op(temp_a)
print("\n")

print("op_temp_a.a:")
op(temp_a.a)
print("\n")

print("================================================================\n")

print("temp_b:\n",temp_b,"\n")

print("temp_b.b:\n",temp_b.b,"\n")

print("op_temp_b:")
op(temp_b)
print("\n")

print("op_temp_b.b:")
op(temp_b.b)
print("\n")

输出：

temp_a:
 <enum 'temp_a'> 

temp_a.a:
 temp_a.a

op_temp_a:
<enum 'temp_a'>


op_temp_a.a:
temp_a.a


================================================================

temp_b:
 <enum 'temp_b'>

temp_b.b:
 <temp_b 0x24a740c2ee0
  .__objclass__ = <enum 'temp_b'>,
  ._name_ = 'b',
  ._value_ = 1
>

op_temp_b:
<enum 'temp_b'>


op_temp_b.b:
<temp_b 0x24a740c2ee0
  .__objclass__ = <enum 'temp_b'>,
  ._name_ = 'b',
  ._value_ = 1
>

符合直觉的结果应该是：

class temp_a(Enum):
    a = 1
op(temp_a)

输出：

 <temp_a 0xFFFFFFFF
  .__objclass__ = <enum 'temp_a'>,
  .temp_a.a = < xxxxxxx
      ._name_ = 'b',
      ._value_ = 1
  >
>

//JavaScript function ad(a, b) {

return a + b;

}

console.log(ad.toString())

//输出 // function ad(a, b) { // // return a + b; // }

//python def ad(a,b): return a+b print(ad)

输出

<function ad at 0x000002511B318550>

For the following example:

from objprint import config, install, objjson, op

config(line_number=True)
config(arg_name=True)

x = 1
op(x)

This is the output right now:

x:
<module> (/path/to/objprint-test.py:7)
1

What I think more intuitive is argument name followed by the value and the file and line number at the top. In this particular case:

<module> (/path/to/objprint-test.py:7)
x:
1

Any thoughts?

I created two python file to play with the install() feature:

temp1.py:

from objprint import op, install

# Now you can use op() in any file
install()

temp2.py:

op("hello")

But run the temp2.py, it throws error : NameError: name 'op' is not defined What is the correct usage of install() ? Thanks !

打印链表会输出

<Node 0x18136a4bd30
  .next = <Node 0x18136a4b3d0
    .next = <Node 0x18136dd5750
      .next = <Node 0x18136dd5930
        .next = <Node 0x18136dd5810
          .next = <Node 0x18136dd5870
            .next = None,
            .value = 'node_5'
          >,
          .value = 'node_4'
        >,
        .value = 'node_3'
      >,
      .value = 'node_2'
    >,
    .value = 'node_1'
  >,
  .value = 'Head'
>

可以考虑在打印属性为对象的属性的时候缩进幅度大一些

<Node 0x18136a4bd30
    .next = <Node 0x18136a4b3d0
            .next = <Node 0x18136dd5750
                    .next = <Node 0x18136dd5930
                                .next = <Node 0x18136dd5810
                                        .next = <Node 0x18136dd5870
                                                .next = None,
                                                .value = 'node_5'
                                        >,
                                        .value = 'node_4'
                                >,
                                .value = 'node_3'
                    >,
                    .value = 'node_2'
            >,
            .value = 'node_1'
     >,
     .value = 'Head'
>

或者结构修改一下

<Node 0x18136a4bd30 ->  .next = <Node 0x18136a4b3d0 ->  .next = <Node 0x18136dd5750 ->  .next = <Node 0x18136dd5930 ->  .next = <Node 0x18136dd5810 ->  .next = <Node 0x18136dd5870 ->  .next = None,
                                                                                                                                                                                        .value = 'node_5'
                                                                                                                                                                                        >,         
                                                                                                                                                        .value = 'node_4'
                                                                                                                                                        >,
                                                                                                                        .value = 'node_3'
                                                                                                                        >,
                                                                                        .value = 'node_2'
                                                                                        >,
                                                        .value = 'node_1'
                                                        >,
                        .value = 'Head'
                        >

简单的建议，希望能优化一下！

我在使用 pydantic + objprint，打印对象使用了 #52 中的方法，但程序在 op 处阻塞住。

from objprint import op
from pydantic import BaseModel


class A(BaseModel):
    a: int


obj = A(a=1)
op(obj, honor_existing=False)

Now op() returns the object it prints to make calling chain possible. But in repl, that will print two instances. We should fix that for a better user experience.