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---

title: Utilities

keywords: fastai

sidebar: home_sidebar

summary: "Useful function and utilities"

description: "Useful function and utilities"

nb_path: "nbs\10_utils.ipynb"

---

<!--

#################################################

### THIS FILE WAS AUTOGENERATED! DO NOT EDIT! ###

#################################################

# file to edit: nbs\10_utils.ipynb

# command to build the docs after a change: nbdev_build_docs

-->

{% raw %}

</div>

{% endraw %}

<h2 id="Import-Modules">Import Modules<a class="anchor-link" href="#Import-Modules"> </a></h2>

</div>

{% raw %}

</div>

{% endraw %}

{% raw %}

<h4 id="is_jupyter" class="doc_header"><code>is_jupyter</code><a href="https://github.com/unpackai/unpackai/tree/master/unpackai/utils.py#L35" class="source_link" style="float:right">[source]</a></h4><blockquote><code>is_jupyter</code>()

</blockquote>

</div>

{% endraw %}

{% raw %}

</div>

{% endraw %}

{% raw %}

<div class=" highlight hl-ipython3"><pre># For Test Cases (might have duplicate import because it will be in a dedicated file)

import requests

from datetime import datetime, timedelta

from pathlib import Path

from shutil import copy, rmtree

from typing import List

import graphviz

import numpy as np

import pandas as pd

import pytest

from PIL import Image

from test_common.utils_4_tests import DATA_DIR, IMG_DIR, check_no_log, check_only_warning

</pre></div>

</div>

{% endraw %}

<h2 id="Image">Image<a class="anchor-link" href="#Image"> </a></h2>

</div>

<h3 id="Cleaning-up-error-image">Cleaning up error image<a class="anchor-link" href="#Cleaning-up-error-image"> </a></h3>

</div>

In some cases, we have error image that will interrupt model trainging. We can use <code>[`clean_error_img`](/unpackai/utils.html#clean_error_img)</code> to clean the image folder

</div>

{% raw %}

<h4 id="check_img" class="doc_header"><code>check_img</code><a href="https://github.com/unpackai/unpackai/tree/master/unpackai/utils.py#L56" class="source_link" style="float:right">[source]</a></h4><blockquote><code>check_img</code>(<code>img</code>:<code>Path</code>, <code>formats</code>:<code>List</code>[<code>str</code>]=<code>['.jpg', '.jpeg', '.png', '.bmp']</code>)

</blockquote>

Check on a single image,

If it's quality is troublesome

we unlink/ditch the image

</div>

{% endraw %}

{% raw %}

<h4 id="clean_error_img" class="doc_header"><code>clean_error_img</code><a href="https://github.com/unpackai/unpackai/tree/master/unpackai/utils.py#L82" class="source_link" style="float:right">[source]</a></h4><blockquote><code>clean_error_img</code>(<code>path</code>:<code>Path</code>, <code>progress</code>:<code>bool</code>=<code>True</code>)

</blockquote>

<ul>

<li>path: an image directory</li>

<li>progress: do we print out progress bar or not

default True</li>

</ul>

</div>

{% endraw %}

{% raw %}

</div>

{% endraw %}

{% raw %}

<div class=" highlight hl-ipython3"><pre>images_rob = list((IMG_DIR / "robustness").glob("*.*"))

IMG_RGB = Image.new("RGB", (60, 30), color=(73, 109, 137))

IMG_RGBA = Image.new("RGBA", (60, 30), color=(73, 109, 137, 100))

@pytest.mark.parametrize("img", images_rob, ids=[i.name for i in images_rob])

def test_check_img_error(img: Path, tmpdir, caplog):

"""Test check_img with incorrect images"""

img_copy = Path(tmpdir) / img.name

copy(img, img_copy)

check_img(img_copy)

check_only_warning(caplog, img.name)

assert not img_copy.is_file(), f"File {img_copy} not be deleted"

def test_check_img_empty_wrong_suffix(tmpdir, caplog):

"""Test check_img with wrong image that does not have a correct extension"""

img_path.write_bytes(b"")

check_img(img_path)

check_no_log(caplog)

assert img_path.is_file(), f"Image {img_path} not found"

@pytest.mark.parametrize("ext", ["png", "bmp", "jpg", "jpeg"])

def test_check_img_correct(img: Image, ext: str, tmpdir, caplog):

"""Correct that correct image is not removed"""

alpha_suffix = "_alpha" if len(img.getcolors()[0][1]) == 4 else ""

if alpha_suffix and ext.startswith("jp"):

pytest.skip("JPG does not support RGBA")

img_path = Path(tmpdir) / f"correct_image_blue{alpha_suffix}.{ext}"

img.save(img_path)

check_img(img_path)

check_no_log(caplog)

</pre></div>

</div>

{% endraw %}

{% raw %}

<div class=" highlight hl-ipython3"><pre>def test_clean_error_img(tmpdir, monkeypatch) -> None:

"""Test clean_error_img"""

for img in images_rob:

copy(img, Path(tmpdir) / img.name)

monkeypatch.chdir(tmpdir)

root = Path(".")

sub1 = root / "sub1"

sub2 = root / "sub2"

sub1.mkdir()

sub2.mkdir()

sub3 = sub2 / "sub3"

sub3.mkdir()

(sub1 / "file11.BMP").write_text("fake image")

(sub1/"file12 haha.jpg").write_text("fake image")

(sub1 / "file13 haha.txt").write_text("not image")

IMG_RGB.save(sub1 / "img14_good.jpg")

IMG_RGBA.save(sub1 / "img15_good.png")

(sub2 / "file21.jpg").write_text("fake image")

(sub2 / "file22.jpeg").write_text("fake image")

(sub3 / "file31.jpeg").write_text("fake image")

IMG_RGB.save(sub3 / "img32_good.jpeg")

IMG_RGBA.save(sub3 / "img33_good.bmp")

good: List[Path] = list()

bad: List[Path] = list()

print("Existing files:")

for file in root.rglob("*.*"):

print(f" * {file}")

if file.suffix.lower() in [".jpg", ".jpeg", ".png", ".bmp"]:

(good if "good" in file.name else bad).append(file)

print(" => CLEANING")

clean_error_img(root, progress=False)

good_removed = [f for f in good if not f.is_file()]

assert not good_removed, f"Good pictures deleted: {good_removed}"

bad_still_here = [f for f in bad if f.is_file()]

assert not bad_still_here, f"Bad pictures not deleted: {bad_still_here}"

</pre></div>

</div>

{% endraw %}

<h2 id="Magic-function-[`hush`](/unpackai/utils.html#hush)">Magic function <code>[`hush`](/unpackai/utils.html#hush)</code><a class="anchor-link" href="#Magic-function-[`hush`](/unpackai/utils.html#hush)"> </a></h2><blockquote>Run things quietly...

</blockquote>

</div>

This is a magical cell function, so remember to use the <code>%%</code>

</div>

Now we have 2 versions of hush, the 1st on is the backup one, that using ipywidget as event trigger

</div>

But this version of <code>toggle action</code> will be stuck by the ongoing interactive

If the process is working on some thing, you can't toggle until the end of the execution.

The further improvement will be move the toggle entirely to JavaScript, hence the second version

</div>

<h3 id="Hush-event-in-JS">Hush event in JS<a class="anchor-link" href="#Hush-event-in-JS"> </a></h3><blockquote>As not going through any amount of python backend after run

</blockquote>

</div>

{% raw %}

<h4 id="hush" class="doc_header"><code>hush</code><a href="https://github.com/unpackai/unpackai/tree/master/unpackai/utils.py#L114" class="source_link" style="float:right">[source]</a></h4><blockquote><code>hush</code>(<code>line</code>, <code>cell</code>)

</blockquote>

A magic cell function to collapse the print out

%%hush

how_loud = 100

how_verbose = "very"

do_some_python_thing(how_loud, how_verbose)

</div>

{% endraw %}

{% raw %}

</div>

{% endraw %}

<h3 id="Try-hushing-various-kinds-of-info">Try hushing various kinds of info<a class="anchor-link" href="#Try-hushing-various-kinds-of-info"> </a></h3>

</div>

<ul>

<li>html display</li>

<li>print</li>

<li>logging</li>

</ul>

</div>

{% raw %}

<div class=" highlight hl-ipython3"><pre>%%hush

import pandas as pd

import logging

logging.getLogger().setLevel('DEBUG')

a = 1

for i in range(1000):

print(i, end="\t")

logging.info("a lots of text, VERBOSITY!!"*100)

# a big dataframe

display(pd.DataFrame({"a":[1,2]*50}))

# a big output

pd.DataFrame({"b":range(100)})

</pre></div>

</div>

var element = $('#1e98ee6d-dc2f-45a9-aa69-34230fcf8995');

console.info("loading toggle event: 00d9724d-55e4-4ab8-b426-5e92f71f593c")

const toggle_hush = (e) =>{

var op = document.querySelector(".hush_output_00d9724d-55e4-4ab8-b426-5e92f71f593c");

if(op.style.display=="none"){

op.style.display="block"

} else {

op.style.display="none"

}

document.querySelector('.hush_toggle_00d9724d-55e4-4ab8-b426-5e92f71f593c').onclick=toggle_hush

</script>

</div>

{% endraw %}

<h3 id="Capable-of-open/close-verbosity-during-the-main-process">Capable of open/close verbosity during the main process<a class="anchor-link" href="#Capable-of-open/close-verbosity-during-the-main-process"> </a></h3>

</div>

{% raw %}

<div class=" highlight hl-ipython3"><pre>%%hush

from time import sleep

for i in tqdm(range(10)):

sleep(1)

</pre></div>

</div>

var element = $('#afbabf0d-95c5-48e2-989d-a92b90992758');

console.info("loading toggle event: a5461483-be0b-4a73-8299-458f05a7c0d5")

const toggle_hush = (e) =>{

var op = document.querySelector(".hush_output_a5461483-be0b-4a73-8299-458f05a7c0d5");

if(op.style.display=="none"){

op.style.display="block"

} else {

op.style.display="none"

}

document.querySelector('.hush_toggle_a5461483-be0b-4a73-8299-458f05a7c0d5').onclick=toggle_hush

</script>

</div>

{% endraw %}

<h3 id="But-we-still-want-the-error-to-be-loud">But we still want the error to be loud<a class="anchor-link" href="#But-we-still-want-the-error-to-be-loud"> </a></h3><blockquote>As such information should interrupt the user

</blockquote>

</div>

{% raw %}

<div class=" highlight hl-ipython3"><pre>%%hush

def _test_hush():

for i in range(20):

print(f"some logging:\t{i}!")

raise ValueError("but some error, because life!")

# Testing hush when exception is raised

</pre></div>

</div>

var element = $('#639ad8dd-86f0-4d95-a004-d7a16eef7928');

console.info("loading toggle event: 33d84ffd-6fef-48a7-8ddc-26ef5ec8513b")

const toggle_hush = (e) =>{

var op = document.querySelector(".hush_output_33d84ffd-6fef-48a7-8ddc-26ef5ec8513b");

if(op.style.display=="none"){

op.style.display="block"

} else {

op.style.display="none"

}

document.querySelector('.hush_toggle_33d84ffd-6fef-48a7-8ddc-26ef5ec8513b').onclick=toggle_hush

</script>

</div>

{% endraw %}

<h2 id="Fetching-static-files">Fetching static files<a class="anchor-link" href="#Fetching-static-files"> </a></h2>

</div>

{% raw %}

<h4 id="static_root" class="doc_header"><code>static_root</code><a href="https://github.com/unpackai/unpackai/tree/master/unpackai/utils.py#L173" class="source_link" style="float:right">[source]</a></h4><blockquote><code>static_root</code>()

</blockquote>

Return static path

</div>

{% endraw %}

{% raw %}

</div>

{% endraw %}

Test the validation of such static path

</div>

{% raw %}

<div class=" highlight hl-ipython3"><pre>def test_find_static():

error_report_html = STATIC/"html"/"bug"/"error_report.html"

assert (error_report_html).is_file(), f"'{STATIC}' is not a valid static path"

</pre></div>

</div>

{% endraw %}

<h2 id="Listing-files-in-DataFrame">Listing files in DataFrame<a class="anchor-link" href="#Listing-files-in-DataFrame"> </a></h2>

</div>

{% raw %}

<h4 id="friendly_size" class="doc_header"><code>friendly_size</code><a href="https://github.com/unpackai/unpackai/tree/master/unpackai/utils.py#L226" class="source_link" style="float:right">[source]</a></h4><blockquote><code>friendly_size</code>(<code>size</code>:<code>float</code>)

</blockquote>

Convert a size in bytes (as float) to a size with unit (as a string)

</div>

{% endraw %}

{% raw %}

<h4 id="ls" class="doc_header"><code>ls</code><a href="https://github.com/unpackai/unpackai/tree/master/unpackai/utils.py#L240" class="source_link" style="float:right">[source]</a></h4><blockquote><code>ls</code>(<code>root</code>:<code>Union</code>[<code>Path</code>, <code>str</code>], <code>exclude</code>:<code>List</code>[<code>str</code>]=<code>None</code>, <code>hide_info</code>=<code>False</code>)

</blockquote>

Return a DataFrame with list of files & directories in a given path.

Args:

root: root path to look for files and directories recursively

exclude: optional list of names to exclude in the search (e.g. <code>[".git"]</code>)

</div>

{% endraw %}

{% raw %}

</div>

{% endraw %}

{% raw %}

"size,exp",

[

(0, "0.00 B"),

(1, "1.00 B"),

(1024, "1.00 KB"),

(1024 ** 2, "1.00 MB"),

(1024 ** 3 * 3.14, "3.14 GB"),

],

)

def test_friendly_size(size, exp):

"""Test computation of friendly size (human readable)"""

assert friendly_size(size) == exp

</pre></div>

</div>

{% endraw %}

{% raw %}

<div class=" highlight hl-ipython3"><pre>@pytest.fixture

def populated_tmp_dir(tmpdir):

"""Create files to test `ls` function"""

tmpdir = Path(tmpdir)

for dir_ in ["dir1/subdir1", "dir1/subdir2", "dir2"]:

(tmpdir / dir_).mkdir(parents=True)

for file in ["at_root.txt", "dir1/subdir1/at_subdir.txt", "dir2/at_dir.txt"]:

(tmpdir / file).write_text("unpackai")

(tmpdir / "dir1" / "subdir2" / "some_pickle.pkl").write_bytes(b"3141590000")

return tmpdir

import numpy as np

exp_columns = [

"Name",

"Parent",

"Path",

"Level",

"Last_Modif",

"FileDir",

"Extension",

"Type",

"Size",

"Friendly_Size",

]

def test_ls(populated_tmp_dir):

"""Test DataFrame generated by `ls` function"""

df = ls(populated_tmp_dir)

now = datetime.now()

assert list(df.columns) == exp_columns, "Incorrect columns in DF"

# We want to copy the list of expecgted columns to keep it intact

columns = exp_columns[:]

assert all(now - timedelta(minutes=5) < date < now for date in df["Last_Modif"])

df.drop("Last_Modif", axis=1, inplace=True)

columns.remove("Last_Modif")

# We check the file "at_root.txt" and do some cleanup

at_root = df[df["Name"] == "at_root.txt"].iloc[0]

assert Path(at_root["Path"]) == populated_tmp_dir.absolute() / "at_root.txt"

assert at_root["Friendly_Size"] == friendly_size(at_root["Size"])

df.drop(["Path", "Friendly_Size"], axis=1, inplace=True)

columns.remove("Path")

columns.remove("Friendly_Size")

print("===TRUNCATED DF FOR LIST OF FILES/DIR===")

print(df)

print("=" * 20)

exp_root_dir = populated_tmp_dir.name

df_exp = pd.DataFrame(

[

("at_root.txt", exp_root_dir, 0, "File", ".txt", "text/plain", 8.0),

("dir1", exp_root_dir, 0, "Dir", np.NaN, np.NaN, np.NaN),

("subdir1", "dir1", 1, "Dir", np.NaN, np.NaN, np.NaN),

("at_subdir.txt", "subdir1", 2, "File", ".txt", "text/plain", 8.0),

("subdir2", "dir1", 1, "Dir", np.NaN, np.NaN, np.NaN),

("some_pickle.pkl", "subdir2", 2, "File", ".pkl", None, 10.0),

("dir2", exp_root_dir, 0, "Dir", np.NaN, np.NaN, np.NaN),

("at_dir.txt", "dir2", 1, "File", ".txt", "text/plain", 8.0),

],

columns=columns,

)

print("===EXPECTED DF FOR LIST OF FILES/DIR===")

print(df_exp)

print("=" * 20)

compare_df = df.reset_index(drop=True).compare(df_exp.reset_index(drop=True))

assert compare_df.empty, f"Differences found when checking DF:\n{compare_df}"

exp_files = [

"at_root.txt",

"dir1",

"subdir1",

"at_subdir.txt",

"subdir2",

"some_pickle.pkl",

"dir2",

"at_dir.txt",

]

exp_dir1 = ["at_root.txt", "dir2", "at_dir.txt"]

exp_dir2 = [

"at_root.txt",

"dir1",

"subdir1",

"subdir2",

"at_subdir.txt",

"some_pickle.pkl",

]

exp_subdir = [

"at_root.txt",

"dir1",

"dir2",

"subdir2",

"some_pickle.pkl",

"at_dir.txt",

]

exp_dir2_subdir = ["at_root.txt", "dir1", "subdir2", "some_pickle.pkl"]

def test_ls_path_as_str(populated_tmp_dir):

"""Test `ls` function called with a string for path"""

df = ls(str(populated_tmp_dir))

assert sorted(df["Name"]) == sorted(exp_files)

@pytest.mark.parametrize(

"exclude, exp",

[

([], exp_files),

(["I am not a Dir"], exp_files),

(["dir1"], exp_dir1),

(["dir2"], exp_dir2),

(["subdir1"], exp_subdir),

(["subdir1", "dir2"], exp_dir2_subdir),

],

)

def test_ls_exclude(exclude, exp, populated_tmp_dir):

"""Test `ls` function with an exclusion of some directories"""

df = ls(populated_tmp_dir, exclude=exclude)

def test_ls_no_info(populated_tmp_dir):

"""Test `ls` function with `hide_info` set to True"""

df = ls(populated_tmp_dir, hide_info=True)

assert set(exp_columns) - set(df.columns) == {"Size", "Friendly_Size"}

def test_ls_not_exist():

"""Test `ls` when path does not exist"""

with pytest.raises(FileNotFoundError):

ls("this_path_does_not_exist")

def test_not_dir(tmpdir):

"""Test `ls` if root is a file and not a dir"""

file_path = Path(tmpdir) / "toto.txt"

file_path.touch(exist_ok=True)

ls(file_path)

</pre></div>

</div>

{% endraw %}

<h2 id="GraphViz">GraphViz<a class="anchor-link" href="#GraphViz"> </a></h2>Drawing a Graphviz Graph in Jupyter

</div>

{% raw %}

<h4 id="gv" class="doc_header"><code>gv</code><a href="https://github.com/unpackai/unpackai/tree/master/unpackai/utils.py#L257" class="source_link" style="float:right">[source]</a></h4><blockquote><code>gv</code>(<code>source</code>:<code>str</code>, <code>rankdir</code>=<code>'LR'</code>)

</blockquote>

Generate a GraphViz diagram, with a settable orientation (i.e. rankdir)

</div>

{% endraw %}

{% raw %}

</div>

{% endraw %}

{% raw %}

<div class=" highlight hl-ipython3"><pre>gv("program[shape=box3d width=1 height=0.7] inputs->program->results").__dict__

</pre></div>

</div>

{% endraw %}

{% raw %}

<div class=" highlight hl-ipython3"><pre>@pytest.mark.parametrize("rankdir", [None, "LR", "TD"])

def test_gv(rankdir):

"""Test Graphviz Generation via `gv`"""

src = "inputs->program->results"

if rankdir is None:

graph = gv(src)

rankdir = "LR" # default orientation

else:

graph = gv(src, rankdir=rankdir)

assert isinstance(

graph, graphviz.Source

), f"Output shall be a GraphViz Source (but is {type(graph)})"

gv_src = graph.source

assert gv_src.startswith("digraph"), f"Source is not a digraph: {gv_src}"

assert src in gv_src, f"Source input not in Graph Source: {gv_src}"

assert f'rankdir="{rankdir}"' in gv_src, f"Rankdir {rankdir} not found: {gv_src}"

</pre></div>

</div>

{% endraw %}

<h2 id="Download-and-unzip-utilities">Download and unzip utilities<a class="anchor-link" href="#Download-and-unzip-utilities"> </a></h2>

</div>

View remainder of file in raw view

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