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+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "This file is part of the [test suite](./tests) and will be moved there when [nbval#116](https://github.com/computationalmodelling/nbval/issues/116#issuecomment-793148404) is fixed.\n",
+ "\n",
+ "See [DEMO.ipynb](DEMO.ipynb) instead for notebook examples."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from functools import partial\n",
+ "from time import sleep\n",
+ "\n",
+ "from tqdm.notebook import tqdm_notebook\n",
+ "from tqdm.notebook import tnrange\n",
+ "\n",
+ "# avoid displaying widgets by default (pollutes output cells)\n",
+ "tqdm = partial(tqdm_notebook, display=False)\n",
+ "trange = partial(tnrange, display=False)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Help on function display in module tqdm.notebook:\n",
+ "\n",
+ "display(self, msg=None, pos=None, close=False, bar_style=None, check_delay=True)\n",
+ " Use `self.sp` to display `msg` in the specified `pos`.\n",
+ " \n",
+ " Consider overloading this function when inheriting to use e.g.:\n",
+ " `self.some_frontend(**self.format_dict)` instead of `self.sp`.\n",
+ " \n",
+ " Parameters\n",
+ " ----------\n",
+ " msg : str, optional. What to display (default: `repr(self)`).\n",
+ " pos : int, optional. Position to `moveto`\n",
+ " (default: `abs(self.pos)`).\n",
+ "\n"
+ ]
+ }
+ ],
+ "source": [
+ "help(tqdm_notebook.display)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "7c18c038bf964b55941e228503292506",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ " 0%| | 0/9 [00:00<?, ?it/s]"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "0\n",
+ "1\n",
+ "2\n",
+ "3\n",
+ "4\n",
+ "5\n",
+ "6\n",
+ "7\n",
+ "8\n"
+ ]
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "e29668be41ca4e40b16fb98572b333a5",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ " 0%| | 0/9 [00:00<?, ?it/s]"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/plain": [
+ "True"
+ ]
+ },
+ "execution_count": 3,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# NBVAL_TEST_NAME: basic use\n",
+ "with tqdm_notebook(range(9)) as t:\n",
+ " for i in t:\n",
+ " print(i)\n",
+ "assert t.container.children[1].bar_style == 'success'\n",
+ "\n",
+ "t = tqdm_notebook(total=9)\n",
+ "t.update()\n",
+ "t.refresh()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " 11%|█ | 1/9 [00:00<00:00, 17.73it/s]\n",
+ " 20%|██ | 1/5 [00:00<00:00, 341.50it/s]\n"
+ ]
+ }
+ ],
+ "source": [
+ "# NBVAL_TEST_NAME: reset\n",
+ "print(t)\n",
+ "t.reset(total=5)\n",
+ "t.update(1)\n",
+ "print(t)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# NBVAL_TEST_NAME: bar_style\n",
+ "assert t.container.children[1].bar_style != 'danger'\n",
+ "t.close()\n",
+ "assert t.container.children[1].bar_style == 'danger'"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " 0%| | 0/8 [00:00<?, ?it/s]\n",
+ " 0%| | 0/8 [00:00<?, ?it/s]\n",
+ "1\n",
+ " 0%| | 0/8 [00:00<?, ?it/s]\n",
+ " 0%| | 0/8 [00:00<?, ?it/s]\n"
+ ]
+ }
+ ],
+ "source": [
+ "# NBVAL_TEST_NAME: repr\n",
+ "with trange(1, 9) as t:\n",
+ " print(t)\n",
+ " print(t.container)\n",
+ " it = iter(t)\n",
+ " print(next(it))\n",
+ " print(t)\n",
+ " print(t.container)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "t = trange(9)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " 0%| | 0/9 [00:00<?, ?it/s]\n",
+ " 0%| | 0/9 [00:00<?, ?it/s]\n"
+ ]
+ }
+ ],
+ "source": [
+ "# NBVAL_TEST_NAME: display pre\n",
+ "print(t)\n",
+ "print(t.container)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "for i in t:\n",
+ " pass"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "100%|██████████| 9/9 [00:00<00:00, 132.23it/s]\n",
+ "100%|##########| 9/9 [00:00<00:00, 131.02it/s]\n"
+ ]
+ }
+ ],
+ "source": [
+ "# NBVAL_TEST_NAME: display post\n",
+ "print(t)\n",
+ "print(t.container)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "no total: 0it [00:00, ?it/s]\n",
+ "no total: 1it [00:00, 47.83it/s]\n"
+ ]
+ }
+ ],
+ "source": [
+ "# NBVAL_TEST_NAME: no total\n",
+ "with tqdm(desc=\"no total\") as t:\n",
+ " print(t)\n",
+ " t.update()\n",
+ " print(t)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " 0%| | 0/9 [00:00<?, ?it/s]\n",
+ " 11%|███▍ | 1/9 [00:00<00:00, 45.06it/s]\n"
+ ]
+ }
+ ],
+ "source": [
+ "# NBVAL_TEST_NAME: ncols\n",
+ "with trange(9, ncols=66) as t:\n",
+ " print(t)\n",
+ " for i in t:\n",
+ " if i == 1:\n",
+ " break\n",
+ " print(t)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " 0%| | 0/1 [00:00<?, ?it/s]\n",
+ "100%|██████████| 1/1 [00:00<00:00, 54.60it/s]\n",
+ " 0%| | 0/9 [00:00<?, ?it/s]\n",
+ " 11%|█ | 1/9 [00:00<00:00, 57.43it/s]\n"
+ ]
+ }
+ ],
+ "source": [
+ "# NBVAL_TEST_NAME: leave\n",
+ "def is_hidden(widget):\n",
+ " return ('hidden', False, None) == (\n",
+ " getattr(getattr(widget, \"layout\", None), \"visibility\", 'visible'), # ipyw>=8\n",
+ " getattr(widget, \"visible\", False), getattr(widget, \"_ipython_display_\", None)) # ipyw<8\n",
+ "\n",
+ "assert not is_hidden(t.container)\n",
+ "for total in (1, 9):\n",
+ " with tqdm(total=total, leave=False) as t:\n",
+ " print(t)\n",
+ " t.update()\n",
+ " print(t)\n",
+ " assert total != 1 or is_hidden(t.container)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "0it [00:00, ?it/s]\n",
+ "1it [00:00, 47.87it/s]\n"
+ ]
+ }
+ ],
+ "source": [
+ "# NBVAL_TEST_NAME: no total\n",
+ "with tqdm() as t:\n",
+ " print(t)\n",
+ " t.update()\n",
+ " print(t)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "disable: None\n",
+ " 0%| | 0/1 [00:00<?, ?it/s]\n",
+ "100%|██████████| 1/1 [00:00<00:00, 53.24it/s]\n",
+ " 0%| | 0/9 [00:00<?, ?it/s]\n",
+ " 11%|█ | 1/9 [00:00<00:00, 1752.01it/s]\n",
+ "0it [00:00, ?it/s]\n",
+ "1it [00:00, 35.88it/s]\n",
+ " 0%| | 0/1 [00:00<?, ?it/s]\n",
+ "100%|██████████| 1/1 [00:00<00:00, 1880.85it/s]\n",
+ "disable: True\n",
+ " 0%| | 0/1 [00:00<?, ?it/s]\n",
+ " 0%| | 0/1 [00:00<?, ?it/s]\n",
+ " 0%| | 0/9 [00:00<?, ?it/s]\n",
+ " 0%| | 0/9 [00:00<?, ?it/s]\n",
+ "0it [00:00, ?it/s]\n",
+ "0it [00:00, ?it/s]\n",
+ " 0%| | 0/1 [00:00<?, ?it/s]\n",
+ " 0%| | 0/1 [00:00<?, ?it/s]\n"
+ ]
+ }
+ ],
+ "source": [
+ "# NBVAL_TEST_NAME: reset and disable\n",
+ "for disable in (None, True):\n",
+ " print(\"disable:\", disable)\n",
+ " with tqdm(total=1, disable=disable) as t:\n",
+ " print(t)\n",
+ " t.update()\n",
+ " print(t)\n",
+ "\n",
+ " t.reset(total=9)\n",
+ " print(t)\n",
+ " t.update()\n",
+ " print(t)\n",
+ " with tqdm(disable=disable) as t:\n",
+ " print(t)\n",
+ " t.update()\n",
+ " print(t)\n",
+ "\n",
+ " t.reset(total=1)\n",
+ " print(t)\n",
+ " t.update()\n",
+ " print(t)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " 0%|| 0/1 [00:00<?, ?it/s]\n",
+ "100%|| 1/1 [00:00<00:00, 32.57it/s]\n",
+ " 0%| \n",
+ "100%|██████████\n"
+ ]
+ }
+ ],
+ "source": [
+ "# NBVAL_TEST_NAME: bar_format\n",
+ "with tqdm(total=1, bar_format='{l_bar}{r_bar}') as t:\n",
+ " print(t)\n",
+ " t.update()\n",
+ " print(t)\n",
+ "\n",
+ "with tqdm(total=1, bar_format='{l_bar}{bar}') as t:\n",
+ " print(t)\n",
+ " t.update()\n",
+ " print(t)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " 0%|\u001b[33m \u001b[0m| 0/1 [00:00<?, ?it/s]\n",
+ "100%|\u001b[33m██████████\u001b[0m| 1/1 [00:00<00:00, 47.14it/s]\n"
+ ]
+ }
+ ],
+ "source": [
+ "# NBVAL_TEST_NAME: colour\n",
+ "assert t.colour != 'yellow'\n",
+ "with tqdm(total=1, colour='yellow') as t:\n",
+ " print(t)\n",
+ " t.update()\n",
+ " print(t)\n",
+ " assert t.colour == 'yellow'"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# NBVAL_TEST_NAME: delay no trigger\n",
+ "with tqdm_notebook(total=1, delay=10) as t:\n",
+ " t.update()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "fe102eedbb4f437783fbd0cff32f6613",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "100%|##########| 1/1 [00:00<00:00, 7.68it/s]"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# NBVAL_TEST_NAME: delay trigger\n",
+ "with tqdm_notebook(total=1, delay=0.1) as t:\n",
+ " sleep(0.1)\n",
+ " t.update()"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python [conda env:tqdm]",
+ "language": "python",
+ "name": "conda-env-tqdm-py"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython"
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
generated by cgit v1.2.3 (git 2.39.1) at 2024-11-13 09:33:13 +0000