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equate-0.0.6
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مشاهده بیشترتوضیحات
"This is a package with tools for matching things. Dirty things like language, files in your file system, socks and whistles."
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | equate-0.0.6 |
| نام | equate |
| نسخه کتابخانه | 0.0.6 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | thorwhalen |
| ایمیل نویسنده | - |
| آدرس صفحه اصلی | https://github.com/thorwhalen/equate |
| آدرس اینترنتی | https://pypi.org/project/equate/ |
| مجوز | mit |
# Equate
This is a package with tools for matching things.
Dirty things like language, files in your file system, socks and whistles.
# Install
```
pip install equate
```
Moving on...
# In search of a import-to-package name matcher
Guessing the pip install name from a pip package name, and other related analyses.
## The problem
Ever got an import error and wondered what the pip install package name was.
Say...
```
ImportError: No module named skimage
```
But it ain't `pip install skimage` is it (well, it USED to not to, but you get the point...).
What you actually need to do to install (with `pip`) is:
```
pip install scikit-image
```
I would have guessed that!
So no, it's annoying. It shouldn't be allowed. And since it is, there should be an index out there to help out, right?
```
pip install --just-find-it-for-me skimage
```
Instead of just complaining, I thought I'd throw some code at it.
(I'll still complain though.)
Here's a solution: Ask the world (of semantic clouds -- otherwise known as "Google") about it...
## A (fun) solution
```python
import requests
import re
from collections import Counter
search_re = re.compile('(?<=pip install\W)[-\w]+')
def pkg_name_options(query):
r = requests.get('https://www.google.com/search', params={'q': f'python "pip install" {query}'})
if r.status_code == 200:
return Counter(filter(lambda x: x != query, p.findall(r.content.decode('latin-1')))).most_common()
def best_guess(query):
t = pkg_name_options(query)
if t:
return t[0][0]
```
```python
>>> pkg_name_options('skimage')
[('scikit-image', 5),
('-e', 2),
('virtualenv', 1),
('scikit', 1),
('scikit-', 1),
('pillow', 1)]
```
```python
>>> best_guess('skimage')
'scikit-image'
```
Yay, it works!
With a sample of one!
Let's try two...
```python
>>> pkg_name_options('sklearn')
[('numpy', 3), ('scikit-learn', 2), ('-U', 2), ('scikit-', 1), ('scipy', 1)]
```
Okay, so it already fails.
Sure, I could parse more carefully. I could dig into the webpages and get more scope.
That'd be fun.
But that's not very nice too Google (and probably is illegal, if anyone cares).
What you'll find next is an attempt to look at the man in the mirror instead. Looking locally, where the packages actually are: In the site-packages folders...
# Extract, analyze and compare site-packages info names
```python
import pandas as pd
import numpy as np
from equate.site_names import (
DFLT_SITE_PKG_DIR,
site_packages_info_df,
print_n_null_elements_in_each_column_containing_at_least_one,
Lidx,
)
```
```python
>>> DFLT_SITE_PKG_DIR
'~/.virtualenvs/382/lib/python3.8/site-packages'
```
```python
>>> data = site_packages_info_df()
>>> print(f"{data.shape}")
(303, 8)
>>> data
```
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>dist_info_dirname</th>
<th>info_kind</th>
<th>dist_name</th>
<th>most_frequent_record_dirname</th>
<th>first_line_of_top_level_txt</th>
<th>installer</th>
<th>metadata_name</th>
<th>pypi_url_name</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>xlrd-1.2.0.dist-info</td>
<td>dist-info</td>
<td>xlrd</td>
<td>xlrd</td>
<td>xlrd</td>
<td>pip</td>
<td>xlrd</td>
<td>None</td>
</tr>
<tr>
<th>1</th>
<td>boltons-20.2.0.dist-info</td>
<td>dist-info</td>
<td>boltons</td>
<td>boltons</td>
<td>boltons</td>
<td>pip</td>
<td>boltons</td>
<td>None</td>
</tr>
<tr>
<th>2</th>
<td>appdirs-1.4.3.dist-info</td>
<td>dist-info</td>
<td>appdirs</td>
<td>appdirs</td>
<td>appdirs</td>
<td>pip</td>
<td>appdirs</td>
<td>None</td>
</tr>
<tr>
<th>3</th>
<td>yapf-0.29.0.dist-info</td>
<td>dist-info</td>
<td>yapf</td>
<td>yapftests</td>
<td>yapf</td>
<td>pip</td>
<td>yapf</td>
<td>None</td>
</tr>
<tr>
<th>4</th>
<td>cmudict-0.4.4.dist-info</td>
<td>dist-info</td>
<td>cmudict</td>
<td>cmudict</td>
<td>cmudict</td>
<td>pip</td>
<td>cmudict</td>
<td>None</td>
</tr>
<tr>
<th>...</th>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
<td>...</td>
</tr>
<tr>
<th>298</th>
<td>simplegeneric-0.8.1.dist-info</td>
<td>dist-info</td>
<td>simplegeneric</td>
<td>simplegeneric</td>
<td>simplegeneric</td>
<td>pip</td>
<td>simplegeneric</td>
<td>None</td>
</tr>
<tr>
<th>299</th>
<td>plotly-4.6.0.dist-info</td>
<td>dist-info</td>
<td>plotly</td>
<td>plotly</td>
<td>_plotly_future_</td>
<td>pip</td>
<td>plotly</td>
<td>None</td>
</tr>
<tr>
<th>300</th>
<td>rsa-3.4.2.dist-info</td>
<td>dist-info</td>
<td>rsa</td>
<td>rsa</td>
<td>rsa</td>
<td>pip</td>
<td>rsa</td>
<td>None</td>
</tr>
<tr>
<th>301</th>
<td>backcall-0.1.0.dist-info</td>
<td>dist-info</td>
<td>backcall</td>
<td>backcall</td>
<td>backcall</td>
<td>pip</td>
<td>backcall</td>
<td>None</td>
</tr>
<tr>
<th>302</th>
<td>cantools-33.1.1.dist-info</td>
<td>dist-info</td>
<td>cantools</td>
<td>cantools</td>
<td>cantools</td>
<td>pip</td>
<td>cantools</td>
<td>None</td>
</tr>
</tbody>
</table>
<p>303 rows × 8 columns</p>
</div>
```python
>>> print_n_null_elements_in_each_column_containing_at_least_one(data)
most_frequent_record_dirname: 1 null values
first_line_of_top_level_txt: 6 null values
installer: 32 null values
metadata_name: 1 null values
pypi_url_name: 255 null values
```
```python
>>> lidx = Lidx(data)
>>> df = data[lidx.no_nans]
>>> print(f"no nan df: {len(df)=}")
no_nans: 302
equal: 187
dash_underscore_eq: 220
('equal', 'dash_underscore_eq'): 186
```
```python
>>> lidx = Lidx(df)
>>> lidx.print_diagnosis()
no_nans: 302
equal: 187
dash_underscore_eq: 220
('equal', 'dash_underscore_eq'): 186
```
```python
>>> lidx = Lidx(df, 'first_line_of_top_level_txt')
>>> lidx.print_diagnosis()
no_nans: 297
equal: 182
dash_underscore_eq: 214
('equal', 'dash_underscore_eq'): 181
```
```python
>>> t = Lidx(df, 'most_frequent_record_dirname')
>>> tt = Lidx(df, 'first_line_of_top_level_txt')
>>> sum(t.equal | tt.equal)
199
```
```python
>> sum(t.dash_underscore_eq | tt.dash_underscore_eq)
233
```
نیازمندی
| مقدار | نام |
|---|---|
| - | py2store |
| - | pandas |
| - | numpy |
نحوه نصب
نصب پکیج whl equate-0.0.6:
pip install equate-0.0.6.whl
نصب پکیج tar.gz equate-0.0.6:
pip install equate-0.0.6.tar.gz