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1
+ Metadata-Version: 2.1
2
+ Name: openpyxl
3
+ Version: 3.1.5
4
+ Summary: A Python library to read/write Excel 2010 xlsx/xlsm files
5
+ Home-page: https://openpyxl.readthedocs.io
6
+ Author: See AUTHORS
7
+ Author-email: charlie.clark@clark-consulting.eu
8
+ License: MIT
9
+ Project-URL: Documentation, https://openpyxl.readthedocs.io/en/stable/
10
+ Project-URL: Source, https://foss.heptapod.net/openpyxl/openpyxl
11
+ Project-URL: Tracker, https://foss.heptapod.net/openpyxl/openpyxl/-/issues
12
+ Classifier: Development Status :: 5 - Production/Stable
13
+ Classifier: Operating System :: MacOS :: MacOS X
14
+ Classifier: Operating System :: Microsoft :: Windows
15
+ Classifier: Operating System :: POSIX
16
+ Classifier: License :: OSI Approved :: MIT License
17
+ Classifier: Programming Language :: Python
18
+ Classifier: Programming Language :: Python :: 3.6
19
+ Classifier: Programming Language :: Python :: 3.7
20
+ Classifier: Programming Language :: Python :: 3.8
21
+ Classifier: Programming Language :: Python :: 3.9
22
+ Classifier: Programming Language :: Python :: 3.10
23
+ Classifier: Programming Language :: Python :: 3.11
24
+ Requires-Python: >=3.8
25
+ License-File: LICENCE.rst
26
+ Requires-Dist: et-xmlfile
27
+
28
+ .. image:: https://coveralls.io/repos/bitbucket/openpyxl/openpyxl/badge.svg?branch=default
29
+ :target: https://coveralls.io/bitbucket/openpyxl/openpyxl?branch=default
30
+ :alt: coverage status
31
+
32
+ Introduction
33
+ ------------
34
+
35
+ openpyxl is a Python library to read/write Excel 2010 xlsx/xlsm/xltx/xltm files.
36
+
37
+ It was born from lack of existing library to read/write natively from Python
38
+ the Office Open XML format.
39
+
40
+ All kudos to the PHPExcel team as openpyxl was initially based on PHPExcel.
41
+
42
+
43
+ Security
44
+ --------
45
+
46
+ By default openpyxl does not guard against quadratic blowup or billion laughs
47
+ xml attacks. To guard against these attacks install defusedxml.
48
+
49
+ Mailing List
50
+ ------------
51
+
52
+ The user list can be found on http://groups.google.com/group/openpyxl-users
53
+
54
+
55
+ Sample code::
56
+
57
+ from openpyxl import Workbook
58
+ wb = Workbook()
59
+
60
+ # grab the active worksheet
61
+ ws = wb.active
62
+
63
+ # Data can be assigned directly to cells
64
+ ws['A1'] = 42
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+
66
+ # Rows can also be appended
67
+ ws.append([1, 2, 3])
68
+
69
+ # Python types will automatically be converted
70
+ import datetime
71
+ ws['A2'] = datetime.datetime.now()
72
+
73
+ # Save the file
74
+ wb.save("sample.xlsx")
75
+
76
+
77
+ Documentation
78
+ -------------
79
+
80
+ The documentation is at: https://openpyxl.readthedocs.io
81
+
82
+ * installation methods
83
+ * code examples
84
+ * instructions for contributing
85
+
86
+ Release notes: https://openpyxl.readthedocs.io/en/stable/changes.html
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1
+ Metadata-Version: 2.4
2
+ Name: rich
3
+ Version: 14.3.3
4
+ Summary: Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal
5
+ License: MIT
6
+ License-File: LICENSE
7
+ Author: Will McGugan
8
+ Author-email: willmcgugan@gmail.com
9
+ Requires-Python: >=3.8.0
10
+ Classifier: Development Status :: 5 - Production/Stable
11
+ Classifier: Environment :: Console
12
+ Classifier: Framework :: IPython
13
+ Classifier: Intended Audience :: Developers
14
+ Classifier: License :: OSI Approved :: MIT License
15
+ Classifier: Operating System :: MacOS
16
+ Classifier: Operating System :: Microsoft :: Windows
17
+ Classifier: Operating System :: POSIX :: Linux
18
+ Classifier: Programming Language :: Python :: 3
19
+ Classifier: Programming Language :: Python :: 3.8
20
+ Classifier: Programming Language :: Python :: 3.9
21
+ Classifier: Programming Language :: Python :: 3.10
22
+ Classifier: Programming Language :: Python :: 3.11
23
+ Classifier: Programming Language :: Python :: 3.12
24
+ Classifier: Programming Language :: Python :: 3.13
25
+ Classifier: Programming Language :: Python :: 3.14
26
+ Classifier: Typing :: Typed
27
+ Provides-Extra: jupyter
28
+ Requires-Dist: ipywidgets (>=7.5.1,<9) ; extra == "jupyter"
29
+ Requires-Dist: markdown-it-py (>=2.2.0)
30
+ Requires-Dist: pygments (>=2.13.0,<3.0.0)
31
+ Project-URL: Documentation, https://rich.readthedocs.io/en/latest/
32
+ Project-URL: Homepage, https://github.com/Textualize/rich
33
+ Description-Content-Type: text/markdown
34
+
35
+ [![Supported Python Versions](https://img.shields.io/pypi/pyversions/rich)](https://pypi.org/project/rich/) [![PyPI version](https://badge.fury.io/py/rich.svg)](https://badge.fury.io/py/rich)
36
+
37
+ [![Downloads](https://pepy.tech/badge/rich/month)](https://pepy.tech/project/rich)
38
+ [![codecov](https://img.shields.io/codecov/c/github/Textualize/rich?label=codecov&logo=codecov)](https://codecov.io/gh/Textualize/rich)
39
+ [![Rich blog](https://img.shields.io/badge/blog-rich%20news-yellowgreen)](https://www.willmcgugan.com/tag/rich/)
40
+ [![Twitter Follow](https://img.shields.io/twitter/follow/willmcgugan.svg?style=social)](https://twitter.com/willmcgugan)
41
+
42
+ ![Logo](https://github.com/textualize/rich/raw/master/imgs/logo.svg)
43
+
44
+ [English readme](https://github.com/textualize/rich/blob/master/README.md)
45
+ • [简体中文 readme](https://github.com/textualize/rich/blob/master/README.cn.md)
46
+ • [正體中文 readme](https://github.com/textualize/rich/blob/master/README.zh-tw.md)
47
+ • [Lengua española readme](https://github.com/textualize/rich/blob/master/README.es.md)
48
+ • [Deutsche readme](https://github.com/textualize/rich/blob/master/README.de.md)
49
+ • [Läs på svenska](https://github.com/textualize/rich/blob/master/README.sv.md)
50
+ • [日本語 readme](https://github.com/textualize/rich/blob/master/README.ja.md)
51
+ • [한국어 readme](https://github.com/textualize/rich/blob/master/README.kr.md)
52
+ • [Français readme](https://github.com/textualize/rich/blob/master/README.fr.md)
53
+ • [Schwizerdütsch readme](https://github.com/textualize/rich/blob/master/README.de-ch.md)
54
+ • [हिन्दी readme](https://github.com/textualize/rich/blob/master/README.hi.md)
55
+ • [Português brasileiro readme](https://github.com/textualize/rich/blob/master/README.pt-br.md)
56
+ • [Italian readme](https://github.com/textualize/rich/blob/master/README.it.md)
57
+ • [Русский readme](https://github.com/textualize/rich/blob/master/README.ru.md)
58
+ • [Indonesian readme](https://github.com/textualize/rich/blob/master/README.id.md)
59
+ • [فارسی readme](https://github.com/textualize/rich/blob/master/README.fa.md)
60
+ • [Türkçe readme](https://github.com/textualize/rich/blob/master/README.tr.md)
61
+ • [Polskie readme](https://github.com/textualize/rich/blob/master/README.pl.md)
62
+
63
+
64
+ Rich is a Python library for _rich_ text and beautiful formatting in the terminal.
65
+
66
+ The [Rich API](https://rich.readthedocs.io/en/latest/) makes it easy to add color and style to terminal output. Rich can also render pretty tables, progress bars, markdown, syntax highlighted source code, tracebacks, and more — out of the box.
67
+
68
+ ![Features](https://github.com/textualize/rich/raw/master/imgs/features.png)
69
+
70
+ For a video introduction to Rich see [calmcode.io](https://calmcode.io/rich/introduction.html) by [@fishnets88](https://twitter.com/fishnets88).
71
+
72
+ See what [people are saying about Rich](https://www.willmcgugan.com/blog/pages/post/rich-tweets/).
73
+
74
+ ## Compatibility
75
+
76
+ Rich works with Linux, macOS and Windows. True color / emoji works with new Windows Terminal, classic terminal is limited to 16 colors. Rich requires Python 3.8 or later.
77
+
78
+ Rich works with [Jupyter notebooks](https://jupyter.org/) with no additional configuration required.
79
+
80
+ ## Installing
81
+
82
+ Install with `pip` or your favorite PyPI package manager.
83
+
84
+ ```sh
85
+ python -m pip install rich
86
+ ```
87
+
88
+ Run the following to test Rich output on your terminal:
89
+
90
+ ```sh
91
+ python -m rich
92
+ ```
93
+
94
+ ## Rich Print
95
+
96
+ To effortlessly add rich output to your application, you can import the [rich print](https://rich.readthedocs.io/en/latest/introduction.html#quick-start) method, which has the same signature as the builtin Python function. Try this:
97
+
98
+ ```python
99
+ from rich import print
100
+
101
+ print("Hello, [bold magenta]World[/bold magenta]!", ":vampire:", locals())
102
+ ```
103
+
104
+ ![Hello World](https://github.com/textualize/rich/raw/master/imgs/print.png)
105
+
106
+ ## Rich REPL
107
+
108
+ Rich can be installed in the Python REPL, so that any data structures will be pretty printed and highlighted.
109
+
110
+ ```python
111
+ >>> from rich import pretty
112
+ >>> pretty.install()
113
+ ```
114
+
115
+ ![REPL](https://github.com/textualize/rich/raw/master/imgs/repl.png)
116
+
117
+ ## Using the Console
118
+
119
+ For more control over rich terminal content, import and construct a [Console](https://rich.readthedocs.io/en/latest/reference/console.html#rich.console.Console) object.
120
+
121
+ ```python
122
+ from rich.console import Console
123
+
124
+ console = Console()
125
+ ```
126
+
127
+ The Console object has a `print` method which has an intentionally similar interface to the builtin `print` function. Here's an example of use:
128
+
129
+ ```python
130
+ console.print("Hello", "World!")
131
+ ```
132
+
133
+ As you might expect, this will print `"Hello World!"` to the terminal. Note that unlike the builtin `print` function, Rich will word-wrap your text to fit within the terminal width.
134
+
135
+ There are a few ways of adding color and style to your output. You can set a style for the entire output by adding a `style` keyword argument. Here's an example:
136
+
137
+ ```python
138
+ console.print("Hello", "World!", style="bold red")
139
+ ```
140
+
141
+ The output will be something like the following:
142
+
143
+ ![Hello World](https://github.com/textualize/rich/raw/master/imgs/hello_world.png)
144
+
145
+ That's fine for styling a line of text at a time. For more finely grained styling, Rich renders a special markup which is similar in syntax to [bbcode](https://en.wikipedia.org/wiki/BBCode). Here's an example:
146
+
147
+ ```python
148
+ console.print("Where there is a [bold cyan]Will[/bold cyan] there [u]is[/u] a [i]way[/i].")
149
+ ```
150
+
151
+ ![Console Markup](https://github.com/textualize/rich/raw/master/imgs/where_there_is_a_will.png)
152
+
153
+ You can use a Console object to generate sophisticated output with minimal effort. See the [Console API](https://rich.readthedocs.io/en/latest/console.html) docs for details.
154
+
155
+ ## Rich Inspect
156
+
157
+ Rich has an [inspect](https://rich.readthedocs.io/en/latest/reference/init.html?highlight=inspect#rich.inspect) function which can produce a report on any Python object, such as class, instance, or builtin.
158
+
159
+ ```python
160
+ >>> my_list = ["foo", "bar"]
161
+ >>> from rich import inspect
162
+ >>> inspect(my_list, methods=True)
163
+ ```
164
+
165
+ ![Log](https://github.com/textualize/rich/raw/master/imgs/inspect.png)
166
+
167
+ See the [inspect docs](https://rich.readthedocs.io/en/latest/reference/init.html#rich.inspect) for details.
168
+
169
+ # Rich Library
170
+
171
+ Rich contains a number of builtin _renderables_ you can use to create elegant output in your CLI and help you debug your code.
172
+
173
+ Click the following headings for details:
174
+
175
+ <details>
176
+ <summary>Log</summary>
177
+
178
+ The Console object has a `log()` method which has a similar interface to `print()`, but also renders a column for the current time and the file and line which made the call. By default Rich will do syntax highlighting for Python structures and for repr strings. If you log a collection (i.e. a dict or a list) Rich will pretty print it so that it fits in the available space. Here's an example of some of these features.
179
+
180
+ ```python
181
+ from rich.console import Console
182
+ console = Console()
183
+
184
+ test_data = [
185
+ {"jsonrpc": "2.0", "method": "sum", "params": [None, 1, 2, 4, False, True], "id": "1",},
186
+ {"jsonrpc": "2.0", "method": "notify_hello", "params": [7]},
187
+ {"jsonrpc": "2.0", "method": "subtract", "params": [42, 23], "id": "2"},
188
+ ]
189
+
190
+ def test_log():
191
+ enabled = False
192
+ context = {
193
+ "foo": "bar",
194
+ }
195
+ movies = ["Deadpool", "Rise of the Skywalker"]
196
+ console.log("Hello from", console, "!")
197
+ console.log(test_data, log_locals=True)
198
+
199
+
200
+ test_log()
201
+ ```
202
+
203
+ The above produces the following output:
204
+
205
+ ![Log](https://github.com/textualize/rich/raw/master/imgs/log.png)
206
+
207
+ Note the `log_locals` argument, which outputs a table containing the local variables where the log method was called.
208
+
209
+ The log method could be used for logging to the terminal for long running applications such as servers, but is also a very nice debugging aid.
210
+
211
+ </details>
212
+ <details>
213
+ <summary>Logging Handler</summary>
214
+
215
+ You can also use the builtin [Handler class](https://rich.readthedocs.io/en/latest/logging.html) to format and colorize output from Python's logging module. Here's an example of the output:
216
+
217
+ ![Logging](https://github.com/textualize/rich/raw/master/imgs/logging.png)
218
+
219
+ </details>
220
+
221
+ <details>
222
+ <summary>Emoji</summary>
223
+
224
+ To insert an emoji in to console output place the name between two colons. Here's an example:
225
+
226
+ ```python
227
+ >>> console.print(":smiley: :vampire: :pile_of_poo: :thumbs_up: :raccoon:")
228
+ 😃 🧛 💩 👍 🦝
229
+ ```
230
+
231
+ Please use this feature wisely.
232
+
233
+ </details>
234
+
235
+ <details>
236
+ <summary>Tables</summary>
237
+
238
+ Rich can render flexible [tables](https://rich.readthedocs.io/en/latest/tables.html) with unicode box characters. There is a large variety of formatting options for borders, styles, cell alignment etc.
239
+
240
+ ![table movie](https://github.com/textualize/rich/raw/master/imgs/table_movie.gif)
241
+
242
+ The animation above was generated with [table_movie.py](https://github.com/textualize/rich/blob/master/examples/table_movie.py) in the examples directory.
243
+
244
+ Here's a simpler table example:
245
+
246
+ ```python
247
+ from rich.console import Console
248
+ from rich.table import Table
249
+
250
+ console = Console()
251
+
252
+ table = Table(show_header=True, header_style="bold magenta")
253
+ table.add_column("Date", style="dim", width=12)
254
+ table.add_column("Title")
255
+ table.add_column("Production Budget", justify="right")
256
+ table.add_column("Box Office", justify="right")
257
+ table.add_row(
258
+ "Dec 20, 2019", "Star Wars: The Rise of Skywalker", "$275,000,000", "$375,126,118"
259
+ )
260
+ table.add_row(
261
+ "May 25, 2018",
262
+ "[red]Solo[/red]: A Star Wars Story",
263
+ "$275,000,000",
264
+ "$393,151,347",
265
+ )
266
+ table.add_row(
267
+ "Dec 15, 2017",
268
+ "Star Wars Ep. VIII: The Last Jedi",
269
+ "$262,000,000",
270
+ "[bold]$1,332,539,889[/bold]",
271
+ )
272
+
273
+ console.print(table)
274
+ ```
275
+
276
+ This produces the following output:
277
+
278
+ ![table](https://github.com/textualize/rich/raw/master/imgs/table.png)
279
+
280
+ Note that console markup is rendered in the same way as `print()` and `log()`. In fact, anything that is renderable by Rich may be included in the headers / rows (even other tables).
281
+
282
+ The `Table` class is smart enough to resize columns to fit the available width of the terminal, wrapping text as required. Here's the same example, with the terminal made smaller than the table above:
283
+
284
+ ![table2](https://github.com/textualize/rich/raw/master/imgs/table2.png)
285
+
286
+ </details>
287
+
288
+ <details>
289
+ <summary>Progress Bars</summary>
290
+
291
+ Rich can render multiple flicker-free [progress](https://rich.readthedocs.io/en/latest/progress.html) bars to track long-running tasks.
292
+
293
+ For basic usage, wrap any sequence in the `track` function and iterate over the result. Here's an example:
294
+
295
+ ```python
296
+ from rich.progress import track
297
+
298
+ for step in track(range(100)):
299
+ do_step(step)
300
+ ```
301
+
302
+ It's not much harder to add multiple progress bars. Here's an example taken from the docs:
303
+
304
+ ![progress](https://github.com/textualize/rich/raw/master/imgs/progress.gif)
305
+
306
+ The columns may be configured to show any details you want. Built-in columns include percentage complete, file size, file speed, and time remaining. Here's another example showing a download in progress:
307
+
308
+ ![progress](https://github.com/textualize/rich/raw/master/imgs/downloader.gif)
309
+
310
+ To try this out yourself, see [examples/downloader.py](https://github.com/textualize/rich/blob/master/examples/downloader.py) which can download multiple URLs simultaneously while displaying progress.
311
+
312
+ </details>
313
+
314
+ <details>
315
+ <summary>Status</summary>
316
+
317
+ For situations where it is hard to calculate progress, you can use the [status](https://rich.readthedocs.io/en/latest/reference/console.html#rich.console.Console.status) method which will display a 'spinner' animation and message. The animation won't prevent you from using the console as normal. Here's an example:
318
+
319
+ ```python
320
+ from time import sleep
321
+ from rich.console import Console
322
+
323
+ console = Console()
324
+ tasks = [f"task {n}" for n in range(1, 11)]
325
+
326
+ with console.status("[bold green]Working on tasks...") as status:
327
+ while tasks:
328
+ task = tasks.pop(0)
329
+ sleep(1)
330
+ console.log(f"{task} complete")
331
+ ```
332
+
333
+ This generates the following output in the terminal.
334
+
335
+ ![status](https://github.com/textualize/rich/raw/master/imgs/status.gif)
336
+
337
+ The spinner animations were borrowed from [cli-spinners](https://www.npmjs.com/package/cli-spinners). You can select a spinner by specifying the `spinner` parameter. Run the following command to see the available values:
338
+
339
+ ```
340
+ python -m rich.spinner
341
+ ```
342
+
343
+ The above command generates the following output in the terminal:
344
+
345
+ ![spinners](https://github.com/textualize/rich/raw/master/imgs/spinners.gif)
346
+
347
+ </details>
348
+
349
+ <details>
350
+ <summary>Tree</summary>
351
+
352
+ Rich can render a [tree](https://rich.readthedocs.io/en/latest/tree.html) with guide lines. A tree is ideal for displaying a file structure, or any other hierarchical data.
353
+
354
+ The labels of the tree can be simple text or anything else Rich can render. Run the following for a demonstration:
355
+
356
+ ```
357
+ python -m rich.tree
358
+ ```
359
+
360
+ This generates the following output:
361
+
362
+ ![markdown](https://github.com/textualize/rich/raw/master/imgs/tree.png)
363
+
364
+ See the [tree.py](https://github.com/textualize/rich/blob/master/examples/tree.py) example for a script that displays a tree view of any directory, similar to the linux `tree` command.
365
+
366
+ </details>
367
+
368
+ <details>
369
+ <summary>Columns</summary>
370
+
371
+ Rich can render content in neat [columns](https://rich.readthedocs.io/en/latest/columns.html) with equal or optimal width. Here's a very basic clone of the (MacOS / Linux) `ls` command which displays a directory listing in columns:
372
+
373
+ ```python
374
+ import os
375
+ import sys
376
+
377
+ from rich import print
378
+ from rich.columns import Columns
379
+
380
+ directory = os.listdir(sys.argv[1])
381
+ print(Columns(directory))
382
+ ```
383
+
384
+ The following screenshot is the output from the [columns example](https://github.com/textualize/rich/blob/master/examples/columns.py) which displays data pulled from an API in columns:
385
+
386
+ ![columns](https://github.com/textualize/rich/raw/master/imgs/columns.png)
387
+
388
+ </details>
389
+
390
+ <details>
391
+ <summary>Markdown</summary>
392
+
393
+ Rich can render [markdown](https://rich.readthedocs.io/en/latest/markdown.html) and does a reasonable job of translating the formatting to the terminal.
394
+
395
+ To render markdown import the `Markdown` class and construct it with a string containing markdown code. Then print it to the console. Here's an example:
396
+
397
+ ```python
398
+ from rich.console import Console
399
+ from rich.markdown import Markdown
400
+
401
+ console = Console()
402
+ with open("README.md") as readme:
403
+ markdown = Markdown(readme.read())
404
+ console.print(markdown)
405
+ ```
406
+
407
+ This will produce output something like the following:
408
+
409
+ ![markdown](https://github.com/textualize/rich/raw/master/imgs/markdown.png)
410
+
411
+ </details>
412
+
413
+ <details>
414
+ <summary>Syntax Highlighting</summary>
415
+
416
+ Rich uses the [pygments](https://pygments.org/) library to implement [syntax highlighting](https://rich.readthedocs.io/en/latest/syntax.html). Usage is similar to rendering markdown; construct a `Syntax` object and print it to the console. Here's an example:
417
+
418
+ ```python
419
+ from rich.console import Console
420
+ from rich.syntax import Syntax
421
+
422
+ my_code = '''
423
+ def iter_first_last(values: Iterable[T]) -> Iterable[Tuple[bool, bool, T]]:
424
+ """Iterate and generate a tuple with a flag for first and last value."""
425
+ iter_values = iter(values)
426
+ try:
427
+ previous_value = next(iter_values)
428
+ except StopIteration:
429
+ return
430
+ first = True
431
+ for value in iter_values:
432
+ yield first, False, previous_value
433
+ first = False
434
+ previous_value = value
435
+ yield first, True, previous_value
436
+ '''
437
+ syntax = Syntax(my_code, "python", theme="monokai", line_numbers=True)
438
+ console = Console()
439
+ console.print(syntax)
440
+ ```
441
+
442
+ This will produce the following output:
443
+
444
+ ![syntax](https://github.com/textualize/rich/raw/master/imgs/syntax.png)
445
+
446
+ </details>
447
+
448
+ <details>
449
+ <summary>Tracebacks</summary>
450
+
451
+ Rich can render [beautiful tracebacks](https://rich.readthedocs.io/en/latest/traceback.html) which are easier to read and show more code than standard Python tracebacks. You can set Rich as the default traceback handler so all uncaught exceptions will be rendered by Rich.
452
+
453
+ Here's what it looks like on OSX (similar on Linux):
454
+
455
+ ![traceback](https://github.com/textualize/rich/raw/master/imgs/traceback.png)
456
+
457
+ </details>
458
+
459
+ All Rich renderables make use of the [Console Protocol](https://rich.readthedocs.io/en/latest/protocol.html), which you can also use to implement your own Rich content.
460
+
461
+ # Rich CLI
462
+
463
+
464
+ See also [Rich CLI](https://github.com/textualize/rich-cli) for a command line application powered by Rich. Syntax highlight code, render markdown, display CSVs in tables, and more, directly from the command prompt.
465
+
466
+
467
+ ![Rich CLI](https://raw.githubusercontent.com/Textualize/rich-cli/main/imgs/rich-cli-splash.jpg)
468
+
469
+ # Textual
470
+
471
+ See also Rich's sister project, [Textual](https://github.com/Textualize/textual), which you can use to build sophisticated User Interfaces in the terminal.
472
+
473
+ ![textual-splash](https://github.com/user-attachments/assets/4caeb77e-48c0-4cf7-b14d-c53ded855ffd)
474
+
475
+ # Toad
476
+
477
+ [Toad](https://github.com/batrachianai/toad) is a unified interface for agentic coding. Built with Rich and Textual.
478
+
479
+ ![toad](https://github.com/user-attachments/assets/6678b707-1aeb-420f-99ad-abfcd4356771)
480
+
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@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Metadata-Version: 2.1
2
+ Name: cycler
3
+ Version: 0.12.1
4
+ Summary: Composable style cycles
5
+ Author-email: Thomas A Caswell <matplotlib-users@python.org>
6
+ License: Copyright (c) 2015, matplotlib project
7
+ All rights reserved.
8
+
9
+ Redistribution and use in source and binary forms, with or without
10
+ modification, are permitted provided that the following conditions are met:
11
+
12
+ * Redistributions of source code must retain the above copyright notice, this
13
+ list of conditions and the following disclaimer.
14
+
15
+ * Redistributions in binary form must reproduce the above copyright notice,
16
+ this list of conditions and the following disclaimer in the documentation
17
+ and/or other materials provided with the distribution.
18
+
19
+ * Neither the name of the matplotlib project nor the names of its
20
+ contributors may be used to endorse or promote products derived from
21
+ this software without specific prior written permission.
22
+
23
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
24
+ AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
25
+ IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
26
+ DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
27
+ FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
28
+ DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
29
+ SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
30
+ CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
31
+ OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
32
+ OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
33
+ Project-URL: homepage, https://matplotlib.org/cycler/
34
+ Project-URL: repository, https://github.com/matplotlib/cycler
35
+ Keywords: cycle kwargs
36
+ Classifier: License :: OSI Approved :: BSD License
37
+ Classifier: Development Status :: 4 - Beta
38
+ Classifier: Programming Language :: Python :: 3
39
+ Classifier: Programming Language :: Python :: 3.8
40
+ Classifier: Programming Language :: Python :: 3.9
41
+ Classifier: Programming Language :: Python :: 3.10
42
+ Classifier: Programming Language :: Python :: 3.11
43
+ Classifier: Programming Language :: Python :: 3.12
44
+ Classifier: Programming Language :: Python :: 3 :: Only
45
+ Requires-Python: >=3.8
46
+ Description-Content-Type: text/x-rst
47
+ License-File: LICENSE
48
+ Provides-Extra: docs
49
+ Requires-Dist: ipython ; extra == 'docs'
50
+ Requires-Dist: matplotlib ; extra == 'docs'
51
+ Requires-Dist: numpydoc ; extra == 'docs'
52
+ Requires-Dist: sphinx ; extra == 'docs'
53
+ Provides-Extra: tests
54
+ Requires-Dist: pytest ; extra == 'tests'
55
+ Requires-Dist: pytest-cov ; extra == 'tests'
56
+ Requires-Dist: pytest-xdist ; extra == 'tests'
57
+
58
+ |PyPi|_ |Conda|_ |Supported Python versions|_ |GitHub Actions|_ |Codecov|_
59
+
60
+ .. |PyPi| image:: https://img.shields.io/pypi/v/cycler.svg?style=flat
61
+ .. _PyPi: https://pypi.python.org/pypi/cycler
62
+
63
+ .. |Conda| image:: https://img.shields.io/conda/v/conda-forge/cycler
64
+ .. _Conda: https://anaconda.org/conda-forge/cycler
65
+
66
+ .. |Supported Python versions| image:: https://img.shields.io/pypi/pyversions/cycler.svg
67
+ .. _Supported Python versions: https://pypi.python.org/pypi/cycler
68
+
69
+ .. |GitHub Actions| image:: https://github.com/matplotlib/cycler/actions/workflows/tests.yml/badge.svg
70
+ .. _GitHub Actions: https://github.com/matplotlib/cycler/actions
71
+
72
+ .. |Codecov| image:: https://codecov.io/github/matplotlib/cycler/badge.svg?branch=main&service=github
73
+ .. _Codecov: https://codecov.io/github/matplotlib/cycler?branch=main
74
+
75
+ cycler: composable cycles
76
+ =========================
77
+
78
+ Docs: https://matplotlib.org/cycler/
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1
+ Metadata-Version: 2.4
2
+ Name: optuna
3
+ Version: 4.8.0
4
+ Summary: A hyperparameter optimization framework
5
+ Author: Takuya Akiba
6
+ Project-URL: homepage, https://optuna.org/
7
+ Project-URL: repository, https://github.com/optuna/optuna
8
+ Project-URL: documentation, https://optuna.readthedocs.io
9
+ Project-URL: bugtracker, https://github.com/optuna/optuna/issues
10
+ Classifier: Development Status :: 5 - Production/Stable
11
+ Classifier: Intended Audience :: Science/Research
12
+ Classifier: Intended Audience :: Developers
13
+ Classifier: License :: OSI Approved :: MIT License
14
+ Classifier: Programming Language :: Python :: 3
15
+ Classifier: Programming Language :: Python :: 3.9
16
+ Classifier: Programming Language :: Python :: 3.10
17
+ Classifier: Programming Language :: Python :: 3.11
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+ Classifier: Programming Language :: Python :: 3.12
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+ Classifier: Programming Language :: Python :: 3.13
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+ Classifier: Programming Language :: Python :: 3.14
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+ Classifier: Programming Language :: Python :: 3 :: Only
22
+ Classifier: Topic :: Scientific/Engineering
23
+ Classifier: Topic :: Scientific/Engineering :: Mathematics
24
+ Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
25
+ Classifier: Topic :: Software Development
26
+ Classifier: Topic :: Software Development :: Libraries
27
+ Classifier: Topic :: Software Development :: Libraries :: Python Modules
28
+ Requires-Python: >=3.9
29
+ Description-Content-Type: text/markdown
30
+ License-File: LICENSE
31
+ License-File: LICENSE_THIRD_PARTY
32
+ Requires-Dist: alembic>=1.5.0
33
+ Requires-Dist: colorlog
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+ Requires-Dist: numpy
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+ Requires-Dist: packaging>=20.0
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+ Requires-Dist: sqlalchemy>=1.4.2
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+ Requires-Dist: tqdm
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+ Requires-Dist: PyYAML
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+ Provides-Extra: checking
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+ Requires-Dist: mypy; extra == "checking"
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+ Requires-Dist: mypy_boto3_s3; extra == "checking"
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+ Requires-Dist: ruff; extra == "checking"
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+ Requires-Dist: scipy-stubs; python_version >= "3.10" and extra == "checking"
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+ Requires-Dist: types-PyYAML; extra == "checking"
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+ Requires-Dist: types-redis; extra == "checking"
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+ Requires-Dist: types-setuptools; extra == "checking"
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+ Requires-Dist: types-tqdm; extra == "checking"
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+ Requires-Dist: typing_extensions>=3.10.0.0; extra == "checking"
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+ Provides-Extra: document
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+ Requires-Dist: ase; extra == "document"
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+ Requires-Dist: cmaes>=0.12.0; extra == "document"
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+ Requires-Dist: fvcore; extra == "document"
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+ Requires-Dist: kaleido<0.4; extra == "document"
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+ Requires-Dist: lightgbm; extra == "document"
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+ Requires-Dist: matplotlib!=3.6.0; extra == "document"
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+ Requires-Dist: pandas; extra == "document"
57
+ Requires-Dist: pillow; extra == "document"
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+ Requires-Dist: plotly>=4.9.0; extra == "document"
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+ Requires-Dist: scikit-learn; extra == "document"
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+ Requires-Dist: sphinx; extra == "document"
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+ Requires-Dist: sphinx-copybutton; extra == "document"
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+ Requires-Dist: sphinx-gallery; extra == "document"
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+ Requires-Dist: sphinx-notfound-page; extra == "document"
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+ Requires-Dist: sphinx_rtd_theme>=1.2.0; extra == "document"
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+ Requires-Dist: torch; extra == "document"
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+ Requires-Dist: torchvision; extra == "document"
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+ Provides-Extra: optional
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+ Requires-Dist: cmaes>=0.12.0; extra == "optional"
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+ Requires-Dist: google-cloud-storage; extra == "optional"
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+ Requires-Dist: matplotlib!=3.6.0; extra == "optional"
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+ Requires-Dist: pandas; extra == "optional"
73
+ Requires-Dist: plotly>=4.9.0; extra == "optional"
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+ Requires-Dist: redis; extra == "optional"
75
+ Requires-Dist: scikit-learn>=0.24.2; extra == "optional"
76
+ Requires-Dist: scipy; extra == "optional"
77
+ Requires-Dist: torch; extra == "optional"
78
+ Requires-Dist: greenlet; extra == "optional"
79
+ Requires-Dist: grpcio; extra == "optional"
80
+ Requires-Dist: protobuf>=5.28.1; extra == "optional"
81
+ Provides-Extra: test
82
+ Requires-Dist: fakeredis[lua]; extra == "test"
83
+ Requires-Dist: kaleido<0.4; extra == "test"
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+ Requires-Dist: moto; extra == "test"
85
+ Requires-Dist: pytest; extra == "test"
86
+ Requires-Dist: pytest-xdist; extra == "test"
87
+ Requires-Dist: scipy>=1.9.2; extra == "test"
88
+ Requires-Dist: torch; extra == "test"
89
+ Requires-Dist: greenlet; extra == "test"
90
+ Requires-Dist: grpcio; extra == "test"
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+ Requires-Dist: protobuf>=5.28.1; extra == "test"
92
+ Dynamic: license-file
93
+
94
+ <div align="center"><img src="https://raw.githubusercontent.com/optuna/optuna/master/docs/image/optuna-logo.png" width="800"/></div>
95
+
96
+ # Optuna: A hyperparameter optimization framework
97
+
98
+ [![Python](https://img.shields.io/badge/python-3.9%20%7C%203.10%20%7C%203.11%20%7C%203.12%20%7C%203.13%20%7C%203.14-blue)](https://www.python.org)
99
+ [![pypi](https://img.shields.io/pypi/v/optuna.svg)](https://pypi.python.org/pypi/optuna)
100
+ [![conda](https://img.shields.io/conda/vn/conda-forge/optuna.svg)](https://anaconda.org/conda-forge/optuna)
101
+ [![GitHub license](https://img.shields.io/badge/license-MIT-blue.svg)](https://github.com/optuna/optuna)
102
+ [![Read the Docs](https://readthedocs.org/projects/optuna/badge/?version=stable)](https://optuna.readthedocs.io/en/stable/)
103
+
104
+ :link: [**Website**](https://optuna.org/)
105
+ | :page_with_curl: [**Docs**](https://optuna.readthedocs.io/en/stable/)
106
+ | :gear: [**Install Guide**](https://optuna.readthedocs.io/en/stable/installation.html)
107
+ | :pencil: [**Tutorial**](https://optuna.readthedocs.io/en/stable/tutorial/index.html)
108
+ | :bulb: [**Examples**](https://github.com/optuna/optuna-examples)
109
+ | [**Twitter**](https://twitter.com/OptunaAutoML)
110
+ | [**LinkedIn**](https://www.linkedin.com/showcase/optuna/)
111
+ | [**Medium**](https://medium.com/optuna)
112
+
113
+ *Optuna* is an automatic hyperparameter optimization software framework, particularly designed
114
+ for machine learning. It features an imperative, *define-by-run* style user API. Thanks to our
115
+ *define-by-run* API, the code written with Optuna enjoys high modularity, and the user of
116
+ Optuna can dynamically construct the search spaces for the hyperparameters.
117
+
118
+ ## :loudspeaker: News
119
+ Help us create the next version of Optuna!
120
+
121
+ Optuna 5.0 Roadmap published for review. Please take a look at [the planned improvements to Optuna](https://medium.com/optuna/optuna-v5-roadmap-ac7d6935a878), and share your feedback in [the github issues](https://github.com/optuna/optuna/labels/v5). PR contributions also welcome!
122
+
123
+ Please take a few minutes to fill in [this survey](https://forms.gle/wVwLCQ9g6st6AXuq9), and let us know how you use Optuna now and what improvements you'd like.🤔
124
+ All questions are optional. 🙇‍♂️
125
+
126
+ <!-- TODO: when you add a new line, please delete the oldest line -->
127
+ * **Jan 19, 2026**: Optuna 4.7.0 is out! Check out [the release note](https://github.com/optuna/optuna/releases/tag/v4.7.0) for details.
128
+ * **Nov 10, 2025**: A new article [Announcing Optuna 4.6](https://medium.com/optuna/announcing-optuna-4-6-a9e82183ab07) has been published.
129
+ * **Oct 28, 2025**: A new article [AutoSampler: Full Support for Multi-Objective & Constrained Optimization](https://medium.com/optuna/autosampler-full-support-for-multi-objective-constrained-optimization-c1c4fc957ba2) has been published.
130
+ * **Sep 22, 2025**: A new article [[Optuna v4.5] Gaussian Process-Based Sampler (GPSampler) Can Now Perform Constrained Multi-Objective Optimization](https://medium.com/optuna/optuna-v4-5-81e78d8e077a) has been published.
131
+ * **Jun 16, 2025**: Optuna 4.4.0 has been released! Check out [the release blog](https://medium.com/optuna/announcing-optuna-4-4-ece661493126).
132
+ * **May 26, 2025**: Optuna 5.0 roadmap has been published! See [the blog](https://medium.com/optuna/optuna-v5-roadmap-ac7d6935a878) for more details.
133
+
134
+ ## :fire: Key Features
135
+
136
+ Optuna has modern functionalities as follows:
137
+
138
+ - [Lightweight, versatile, and platform agnostic architecture](https://optuna.readthedocs.io/en/stable/tutorial/10_key_features/001_first.html)
139
+ - Handle a wide variety of tasks with a simple installation that has few requirements.
140
+ - [Pythonic search spaces](https://optuna.readthedocs.io/en/stable/tutorial/10_key_features/002_configurations.html)
141
+ - Define search spaces using familiar Python syntax including conditionals and loops.
142
+ - [Efficient optimization algorithms](https://optuna.readthedocs.io/en/stable/tutorial/10_key_features/003_efficient_optimization_algorithms.html)
143
+ - Adopt state-of-the-art algorithms for sampling hyperparameters and efficiently pruning unpromising trials.
144
+ - [Easy parallelization](https://optuna.readthedocs.io/en/stable/tutorial/10_key_features/004_distributed.html)
145
+ - Scale studies to tens or hundreds of workers with little or no changes to the code.
146
+ - [Quick visualization](https://optuna.readthedocs.io/en/stable/tutorial/10_key_features/005_visualization.html)
147
+ - Inspect optimization histories from a variety of plotting functions.
148
+
149
+
150
+ ## Basic Concepts
151
+
152
+ We use the terms *study* and *trial* as follows:
153
+
154
+ - Study: optimization based on an objective function
155
+ - Trial: a single execution of the objective function
156
+
157
+ Please refer to the sample code below. The goal of a *study* is to find out the optimal set of
158
+ hyperparameter values (e.g., `regressor` and `svr_c`) through multiple *trials* (e.g.,
159
+ `n_trials=100`). Optuna is a framework designed for automation and acceleration of
160
+ optimization *studies*.
161
+
162
+ <details open>
163
+ <summary>Sample code with scikit-learn</summary>
164
+
165
+ [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](http://colab.research.google.com/github/optuna/optuna-examples/blob/main/quickstart.ipynb)
166
+
167
+ ```python
168
+ import optuna
169
+ import sklearn
170
+
171
+
172
+ # Define an objective function to be minimized.
173
+ def objective(trial):
174
+
175
+ # Invoke suggest methods of a Trial object to generate hyperparameters.
176
+ regressor_name = trial.suggest_categorical("regressor", ["SVR", "RandomForest"])
177
+ if regressor_name == "SVR":
178
+ svr_c = trial.suggest_float("svr_c", 1e-10, 1e10, log=True)
179
+ regressor_obj = sklearn.svm.SVR(C=svr_c)
180
+ else:
181
+ rf_max_depth = trial.suggest_int("rf_max_depth", 2, 32)
182
+ regressor_obj = sklearn.ensemble.RandomForestRegressor(max_depth=rf_max_depth)
183
+
184
+ X, y = sklearn.datasets.fetch_california_housing(return_X_y=True)
185
+ X_train, X_val, y_train, y_val = sklearn.model_selection.train_test_split(X, y, random_state=0)
186
+
187
+ regressor_obj.fit(X_train, y_train)
188
+ y_pred = regressor_obj.predict(X_val)
189
+
190
+ error = sklearn.metrics.mean_squared_error(y_val, y_pred)
191
+
192
+ return error # An objective value linked with the Trial object.
193
+
194
+
195
+ study = optuna.create_study() # Create a new study.
196
+ study.optimize(objective, n_trials=100) # Invoke optimization of the objective function.
197
+ ```
198
+ </details>
199
+
200
+ > [!NOTE]
201
+ > More examples can be found in [optuna/optuna-examples](https://github.com/optuna/optuna-examples).
202
+ >
203
+ > The examples cover diverse problem setups such as multi-objective optimization, constrained optimization, pruning, and distributed optimization.
204
+
205
+ ## Installation
206
+
207
+ Optuna is available at [the Python Package Index](https://pypi.org/project/optuna/) and on [Anaconda Cloud](https://anaconda.org/conda-forge/optuna).
208
+
209
+ ```bash
210
+ # PyPI
211
+ $ pip install optuna
212
+ ```
213
+
214
+ ```bash
215
+ # Anaconda Cloud
216
+ $ conda install -c conda-forge optuna
217
+ ```
218
+
219
+ > [!IMPORTANT]
220
+ > Optuna supports Python 3.9 or newer.
221
+ >
222
+ > Also, we provide Optuna docker images on [DockerHub](https://hub.docker.com/r/optuna/optuna).
223
+
224
+ ## Integrations
225
+
226
+ Optuna has integration features with various third-party libraries. Integrations can be found in [optuna/optuna-integration](https://github.com/optuna/optuna-integration) and the document is available [here](https://optuna-integration.readthedocs.io/en/stable/index.html).
227
+
228
+ <details>
229
+ <summary>Supported integration libraries</summary>
230
+
231
+ * [Catboost](https://github.com/optuna/optuna-examples/tree/main/catboost/catboost_pruning.py)
232
+ * [Dask](https://github.com/optuna/optuna-examples/tree/main/dask/dask_simple.py)
233
+ * [fastai](https://github.com/optuna/optuna-examples/tree/main/fastai/fastai_simple.py)
234
+ * [Keras](https://github.com/optuna/optuna-examples/tree/main/keras/keras_integration.py)
235
+ * [LightGBM](https://github.com/optuna/optuna-examples/tree/main/lightgbm/lightgbm_integration.py)
236
+ * [MLflow](https://github.com/optuna/optuna-examples/tree/main/mlflow/keras_mlflow.py)
237
+ * [PyTorch](https://github.com/optuna/optuna-examples/tree/main/pytorch/pytorch_simple.py)
238
+ * [PyTorch Ignite](https://github.com/optuna/optuna-examples/tree/main/pytorch/pytorch_ignite_simple.py)
239
+ * [PyTorch Lightning](https://github.com/optuna/optuna-examples/tree/main/pytorch/pytorch_lightning_simple.py)
240
+ * [TensorBoard](https://github.com/optuna/optuna-examples/tree/main/tensorboard/tensorboard_simple.py)
241
+ * [TensorFlow](https://github.com/optuna/optuna-examples/tree/main/tensorflow/tensorflow_estimator_integration.py)
242
+ * [tf.keras](https://github.com/optuna/optuna-examples/tree/main/tfkeras/tfkeras_integration.py)
243
+ * [Weights & Biases](https://github.com/optuna/optuna-examples/tree/main/wandb/wandb_integration.py)
244
+ * [XGBoost](https://github.com/optuna/optuna-examples/tree/main/xgboost/xgboost_integration.py)
245
+ </details>
246
+
247
+ ## Web Dashboard
248
+
249
+ [Optuna Dashboard](https://github.com/optuna/optuna-dashboard) is a real-time web dashboard for Optuna.
250
+ You can check the optimization history, hyperparameter importance, etc. in graphs and tables.
251
+ You don't need to create a Python script to call [Optuna's visualization](https://optuna.readthedocs.io/en/stable/reference/visualization/index.html) functions.
252
+ Feature requests and bug reports are welcome!
253
+
254
+ ![optuna-dashboard](https://user-images.githubusercontent.com/5564044/204975098-95c2cb8c-0fb5-4388-abc4-da32f56cb4e5.gif)
255
+
256
+ `optuna-dashboard` can be installed via pip:
257
+
258
+ ```shell
259
+ $ pip install optuna-dashboard
260
+ ```
261
+
262
+ > [!TIP]
263
+ > Please check out the convenience of Optuna Dashboard using the sample code below.
264
+
265
+ <details>
266
+ <summary>Sample code to launch Optuna Dashboard</summary>
267
+
268
+ Save the following code as `optimize_toy.py`.
269
+
270
+ ```python
271
+ import optuna
272
+
273
+
274
+ def objective(trial):
275
+ x1 = trial.suggest_float("x1", -100, 100)
276
+ x2 = trial.suggest_float("x2", -100, 100)
277
+ return x1**2 + 0.01 * x2**2
278
+
279
+
280
+ study = optuna.create_study(storage="sqlite:///db.sqlite3") # Create a new study with database.
281
+ study.optimize(objective, n_trials=100)
282
+ ```
283
+
284
+ Then try the commands below:
285
+
286
+ ```shell
287
+ # Run the study specified above
288
+ $ python optimize_toy.py
289
+
290
+ # Launch the dashboard based on the storage `sqlite:///db.sqlite3`
291
+ $ optuna-dashboard sqlite:///db.sqlite3
292
+ ...
293
+ Listening on http://localhost:8080/
294
+ Hit Ctrl-C to quit.
295
+ ```
296
+
297
+ </details>
298
+
299
+
300
+ ## OptunaHub
301
+
302
+ [OptunaHub](https://hub.optuna.org/) is a feature-sharing platform for Optuna.
303
+ You can use the registered features and publish your packages.
304
+
305
+ ### Use registered features
306
+
307
+ `optunahub` can be installed via pip:
308
+
309
+ ```shell
310
+ $ pip install optunahub
311
+ # Install AutoSampler dependencies (CPU only is sufficient for PyTorch)
312
+ $ pip install cmaes scipy torch --extra-index-url https://download.pytorch.org/whl/cpu
313
+ ```
314
+
315
+ You can load registered module with `optunahub.load_module`.
316
+
317
+ ```python
318
+ import optuna
319
+ import optunahub
320
+
321
+
322
+ def objective(trial: optuna.Trial) -> float:
323
+ x = trial.suggest_float("x", -5, 5)
324
+ y = trial.suggest_float("y", -5, 5)
325
+ return x**2 + y**2
326
+
327
+
328
+ module = optunahub.load_module(package="samplers/auto_sampler")
329
+ study = optuna.create_study(sampler=module.AutoSampler())
330
+ study.optimize(objective, n_trials=10)
331
+
332
+ print(study.best_trial.value, study.best_trial.params)
333
+ ```
334
+
335
+ For more details, please refer to [the optunahub documentation](https://optuna.github.io/optunahub/).
336
+
337
+ ### Publish your packages
338
+
339
+ You can publish your package via [optunahub-registry](https://github.com/optuna/optunahub-registry).
340
+ See the [Tutorials for Contributors](https://optuna.github.io/optunahub/tutorials_for_contributors.html) in OptunaHub.
341
+
342
+
343
+ ## Communication
344
+
345
+ - [GitHub Discussions] for questions.
346
+ - [GitHub Issues] for bug reports and feature requests.
347
+
348
+ [GitHub Discussions]: https://github.com/optuna/optuna/discussions
349
+ [GitHub issues]: https://github.com/optuna/optuna/issues
350
+
351
+
352
+ ## Contribution
353
+
354
+ Any contributions to Optuna are more than welcome!
355
+
356
+ If you are new to Optuna, please check the [good first issues](https://github.com/optuna/optuna/labels/good%20first%20issue). They are relatively simple, well-defined, and often good starting points for you to get familiar with the contribution workflow and other developers.
357
+
358
+ If you already have contributed to Optuna, we recommend the other [contribution-welcome issues](https://github.com/optuna/optuna/labels/contribution-welcome).
359
+
360
+ For general guidelines on how to contribute to the project, take a look at [CONTRIBUTING.md](./CONTRIBUTING.md).
361
+
362
+
363
+ ## Reference
364
+
365
+ If you use Optuna in one of your research projects, please cite [our KDD paper](https://doi.org/10.1145/3292500.3330701) "Optuna: A Next-generation Hyperparameter Optimization Framework":
366
+
367
+ <details open>
368
+ <summary>BibTeX</summary>
369
+
370
+ ```bibtex
371
+ @inproceedings{akiba2019optuna,
372
+ title={{O}ptuna: A Next-Generation Hyperparameter Optimization Framework},
373
+ author={Akiba, Takuya and Sano, Shotaro and Yanase, Toshihiko and Ohta, Takeru and Koyama, Masanori},
374
+ booktitle={The 25th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining},
375
+ pages={2623--2631},
376
+ year={2019}
377
+ }
378
+ ```
379
+ </details>
380
+
381
+
382
+ ## License
383
+
384
+ MIT License (see [LICENSE](./LICENSE)).
385
+
386
+ Optuna uses the codes from SciPy and fdlibm projects (see [LICENSE_THIRD_PARTY](./LICENSE_THIRD_PARTY)).
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1
+ Metadata-Version: 2.4
2
+ Name: alembic
3
+ Version: 1.18.4
4
+ Summary: A database migration tool for SQLAlchemy.
5
+ Author-email: Mike Bayer <mike_mp@zzzcomputing.com>
6
+ License-Expression: MIT
7
+ Project-URL: Homepage, https://alembic.sqlalchemy.org
8
+ Project-URL: Documentation, https://alembic.sqlalchemy.org/en/latest/
9
+ Project-URL: Changelog, https://alembic.sqlalchemy.org/en/latest/changelog.html
10
+ Project-URL: Source, https://github.com/sqlalchemy/alembic/
11
+ Project-URL: Issue Tracker, https://github.com/sqlalchemy/alembic/issues/
12
+ Classifier: Development Status :: 5 - Production/Stable
13
+ Classifier: Intended Audience :: Developers
14
+ Classifier: Environment :: Console
15
+ Classifier: Operating System :: OS Independent
16
+ Classifier: Programming Language :: Python
17
+ Classifier: Programming Language :: Python :: 3
18
+ Classifier: Programming Language :: Python :: 3.10
19
+ Classifier: Programming Language :: Python :: 3.11
20
+ Classifier: Programming Language :: Python :: 3.12
21
+ Classifier: Programming Language :: Python :: 3.13
22
+ Classifier: Programming Language :: Python :: Implementation :: CPython
23
+ Classifier: Programming Language :: Python :: Implementation :: PyPy
24
+ Classifier: Topic :: Database :: Front-Ends
25
+ Requires-Python: >=3.10
26
+ Description-Content-Type: text/x-rst
27
+ License-File: LICENSE
28
+ Requires-Dist: SQLAlchemy>=1.4.23
29
+ Requires-Dist: Mako
30
+ Requires-Dist: typing-extensions>=4.12
31
+ Requires-Dist: tomli; python_version < "3.11"
32
+ Provides-Extra: tz
33
+ Requires-Dist: tzdata; extra == "tz"
34
+ Dynamic: license-file
35
+
36
+ Alembic is a database migrations tool written by the author
37
+ of `SQLAlchemy <http://www.sqlalchemy.org>`_. A migrations tool
38
+ offers the following functionality:
39
+
40
+ * Can emit ALTER statements to a database in order to change
41
+ the structure of tables and other constructs
42
+ * Provides a system whereby "migration scripts" may be constructed;
43
+ each script indicates a particular series of steps that can "upgrade" a
44
+ target database to a new version, and optionally a series of steps that can
45
+ "downgrade" similarly, doing the same steps in reverse.
46
+ * Allows the scripts to execute in some sequential manner.
47
+
48
+ The goals of Alembic are:
49
+
50
+ * Very open ended and transparent configuration and operation. A new
51
+ Alembic environment is generated from a set of templates which is selected
52
+ among a set of options when setup first occurs. The templates then deposit a
53
+ series of scripts that define fully how database connectivity is established
54
+ and how migration scripts are invoked; the migration scripts themselves are
55
+ generated from a template within that series of scripts. The scripts can
56
+ then be further customized to define exactly how databases will be
57
+ interacted with and what structure new migration files should take.
58
+ * Full support for transactional DDL. The default scripts ensure that all
59
+ migrations occur within a transaction - for those databases which support
60
+ this (Postgresql, Microsoft SQL Server), migrations can be tested with no
61
+ need to manually undo changes upon failure.
62
+ * Minimalist script construction. Basic operations like renaming
63
+ tables/columns, adding/removing columns, changing column attributes can be
64
+ performed through one line commands like alter_column(), rename_table(),
65
+ add_constraint(). There is no need to recreate full SQLAlchemy Table
66
+ structures for simple operations like these - the functions themselves
67
+ generate minimalist schema structures behind the scenes to achieve the given
68
+ DDL sequence.
69
+ * "auto generation" of migrations. While real world migrations are far more
70
+ complex than what can be automatically determined, Alembic can still
71
+ eliminate the initial grunt work in generating new migration directives
72
+ from an altered schema. The ``--autogenerate`` feature will inspect the
73
+ current status of a database using SQLAlchemy's schema inspection
74
+ capabilities, compare it to the current state of the database model as
75
+ specified in Python, and generate a series of "candidate" migrations,
76
+ rendering them into a new migration script as Python directives. The
77
+ developer then edits the new file, adding additional directives and data
78
+ migrations as needed, to produce a finished migration. Table and column
79
+ level changes can be detected, with constraints and indexes to follow as
80
+ well.
81
+ * Full support for migrations generated as SQL scripts. Those of us who
82
+ work in corporate environments know that direct access to DDL commands on a
83
+ production database is a rare privilege, and DBAs want textual SQL scripts.
84
+ Alembic's usage model and commands are oriented towards being able to run a
85
+ series of migrations into a textual output file as easily as it runs them
86
+ directly to a database. Care must be taken in this mode to not invoke other
87
+ operations that rely upon in-memory SELECTs of rows - Alembic tries to
88
+ provide helper constructs like bulk_insert() to help with data-oriented
89
+ operations that are compatible with script-based DDL.
90
+ * Non-linear, dependency-graph versioning. Scripts are given UUID
91
+ identifiers similarly to a DVCS, and the linkage of one script to the next
92
+ is achieved via human-editable markers within the scripts themselves.
93
+ The structure of a set of migration files is considered as a
94
+ directed-acyclic graph, meaning any migration file can be dependent
95
+ on any other arbitrary set of migration files, or none at
96
+ all. Through this open-ended system, migration files can be organized
97
+ into branches, multiple roots, and mergepoints, without restriction.
98
+ Commands are provided to produce new branches, roots, and merges of
99
+ branches automatically.
100
+ * Provide a library of ALTER constructs that can be used by any SQLAlchemy
101
+ application. The DDL constructs build upon SQLAlchemy's own DDLElement base
102
+ and can be used standalone by any application or script.
103
+ * At long last, bring SQLite and its inability to ALTER things into the fold,
104
+ but in such a way that SQLite's very special workflow needs are accommodated
105
+ in an explicit way that makes the most of a bad situation, through the
106
+ concept of a "batch" migration, where multiple changes to a table can
107
+ be batched together to form a series of instructions for a single, subsequent
108
+ "move-and-copy" workflow. You can even use "move-and-copy" workflow for
109
+ other databases, if you want to recreate a table in the background
110
+ on a busy system.
111
+
112
+ Documentation and status of Alembic is at https://alembic.sqlalchemy.org/
113
+
114
+ The SQLAlchemy Project
115
+ ======================
116
+
117
+ Alembic is part of the `SQLAlchemy Project <https://www.sqlalchemy.org>`_ and
118
+ adheres to the same standards and conventions as the core project.
119
+
120
+ Development / Bug reporting / Pull requests
121
+ ___________________________________________
122
+
123
+ Please refer to the
124
+ `SQLAlchemy Community Guide <https://www.sqlalchemy.org/develop.html>`_ for
125
+ guidelines on coding and participating in this project.
126
+
127
+ Code of Conduct
128
+ _______________
129
+
130
+ Above all, SQLAlchemy places great emphasis on polite, thoughtful, and
131
+ constructive communication between users and developers.
132
+ Please see our current Code of Conduct at
133
+ `Code of Conduct <https://www.sqlalchemy.org/codeofconduct.html>`_.
134
+
135
+ License
136
+ =======
137
+
138
+ Alembic is distributed under the `MIT license
139
+ <https://opensource.org/licenses/MIT>`_.
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1
+ Metadata-Version: 2.1
2
+ Name: pandas
3
+ Version: 3.0.1
4
+ Summary: Powerful data structures for data analysis, time series, and statistics
5
+ Author-Email: The Pandas Development Team <pandas-dev@python.org>
6
+ License: BSD 3-Clause License
7
+
8
+ Copyright (c) 2008-2011, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
9
+ All rights reserved.
10
+
11
+ Copyright (c) 2011-2026, Open source contributors.
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+
13
+ Redistribution and use in source and binary forms, with or without
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+ modification, are permitted provided that the following conditions are met:
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+
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+ * Redistributions of source code must retain the above copyright notice, this
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+ list of conditions and the following disclaimer.
18
+
19
+ * Redistributions in binary form must reproduce the above copyright notice,
20
+ this list of conditions and the following disclaimer in the documentation
21
+ and/or other materials provided with the distribution.
22
+
23
+ * Neither the name of the copyright holder nor the names of its
24
+ contributors may be used to endorse or promote products derived from
25
+ this software without specific prior written permission.
26
+
27
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
28
+ AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
29
+ IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
30
+ DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
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+ FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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+ DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
33
+ SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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+ CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
35
+ OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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+ OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
37
+ Copyright (c) 2010-2019 Keith Goodman
38
+ Copyright (c) 2019 Bottleneck Developers
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+ All rights reserved.
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+
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+ Redistribution and use in source and binary forms, with or without
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+ modification, are permitted provided that the following conditions are met:
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+
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+ * Redistributions of source code must retain the above copyright notice,
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+ this list of conditions and the following disclaimer.
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+
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+ * Redistributions in binary form must reproduce the above copyright
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+ notice, this list of conditions and the following disclaimer in the
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+ documentation and/or other materials provided with the distribution.
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+
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+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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+ AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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+ IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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+ ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
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+ LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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+ CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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+ SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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+ INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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+ CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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+ ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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+ POSSIBILITY OF SUCH DAMAGE.Copyright 2017- Paul Ganssle <paul@ganssle.io>
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+ Copyright 2017- dateutil contributors (see AUTHORS file)
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+
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+ Licensed under the Apache License, Version 2.0 (the "License");
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+ you may not use this file except in compliance with the License.
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+ You may obtain a copy of the License at
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+
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+ http://www.apache.org/licenses/LICENSE-2.0
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+
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+ Unless required by applicable law or agreed to in writing, software
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+ distributed under the License is distributed on an "AS IS" BASIS,
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+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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+ See the License for the specific language governing permissions and
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+ limitations under the License.
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+
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+ The above license applies to all contributions after 2017-12-01, as well as
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+ all contributions that have been re-licensed (see AUTHORS file for the list of
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+ contributors who have re-licensed their code).
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+ --------------------------------------------------------------------------------
80
+ dateutil - Extensions to the standard Python datetime module.
81
+
82
+ Copyright (c) 2003-2011 - Gustavo Niemeyer <gustavo@niemeyer.net>
83
+ Copyright (c) 2012-2014 - Tomi Pieviläinen <tomi.pievilainen@iki.fi>
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+ Copyright (c) 2014-2016 - Yaron de Leeuw <me@jarondl.net>
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+ Copyright (c) 2015- - Paul Ganssle <paul@ganssle.io>
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+ Copyright (c) 2015- - dateutil contributors (see AUTHORS file)
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+
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+ All rights reserved.
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+
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+ Redistribution and use in source and binary forms, with or without
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+ modification, are permitted provided that the following conditions are met:
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+
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+ * Redistributions of source code must retain the above copyright notice,
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+ this list of conditions and the following disclaimer.
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+ * Redistributions in binary form must reproduce the above copyright notice,
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+ this list of conditions and the following disclaimer in the documentation
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+ and/or other materials provided with the distribution.
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+ * Neither the name of the copyright holder nor the names of its
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+ contributors may be used to endorse or promote products derived from
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+ this software without specific prior written permission.
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+
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+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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+ "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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+ LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
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+ A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
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+ CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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+ EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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+ PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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+ PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
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+ LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
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+ NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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+
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+ The above BSD License Applies to all code, even that also covered by Apache 2.0.# MIT License
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+
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+ Copyright (c) 2019 Hadley Wickham; RStudio; and Evan Miller
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+
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+ Permission is hereby granted, free of charge, to any person obtaining a copy
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+ of this software and associated documentation files (the "Software"), to deal
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+ in the Software without restriction, including without limitation the rights
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+ to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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+ copies of the Software, and to permit persons to whom the Software is
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+ furnished to do so, subject to the following conditions:
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+
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+ The above copyright notice and this permission notice shall be included in all
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+ copies or substantial portions of the Software.
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+
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+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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+ IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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+ FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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+ AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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+ LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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+ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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+ SOFTWARE.
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+ Based on http://opensource.org/licenses/MIT
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+
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+ This is a template. Complete and ship as file LICENSE the following 2
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+ lines (only)
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+
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+ COPYRIGHT HOLDER:
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+ and specify as
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+ License: MIT + file LICENSE
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+ distribute, sublicense, and/or sell copies of the Software, and to
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+ permit persons to whom the Software is furnished to do so, subject to
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+ the following conditions:
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+
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+ The above copyright notice and this permission notice shall be
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+ included in all copies or substantial portions of the Software.
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+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
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+ EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
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+ The above copyright notice and this permission notice shall be
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+ included in all copies or substantial portions of the Software.
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+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
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+ CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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+ SOFTWARE.musl as a whole is licensed under the following standard MIT license:
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+ Copyright © 2005-2020 Rich Felker, et al.
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+ ----------------------------------------------------------------------
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+
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+ Timo Teräs
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+ Trutz Behn
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+ Valentin Ochs
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+ William Haddon
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+ William Pitcock
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+
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+ Portions of this software are derived from third-party works licensed
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+ under terms compatible with the above MIT license:
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+ The TRE regular expression implementation (src/regex/reg* and
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+ ==========================
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+
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+ Python was created in the early 1990s by Guido van Rossum at Stichting
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+ CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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+ OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
916
+ OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.Copyright (c) 2017 Anthony Sottile
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918
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919
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920
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924
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925
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927
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928
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929
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930
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931
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932
+ LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
933
+ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
934
+ THE SOFTWARE.Copyright (c) 2015-2019 Jared Hobbs
935
+
936
+ Permission is hereby granted, free of charge, to any person obtaining a copy of
937
+ this software and associated documentation files (the "Software"), to deal in
938
+ the Software without restriction, including without limitation the rights to
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+ use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies
940
+ of the Software, and to permit persons to whom the Software is furnished to do
941
+ so, subject to the following conditions:
942
+
943
+ The above copyright notice and this permission notice shall be included in all
944
+ copies or substantial portions of the Software.
945
+
946
+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
947
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948
+ FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
949
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950
+ LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
951
+ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
952
+ SOFTWARE.Developed by ESN, an Electronic Arts Inc. studio.
953
+ Copyright (c) 2014, Electronic Arts Inc.
954
+ All rights reserved.
955
+
956
+ Redistribution and use in source and binary forms, with or without
957
+ modification, are permitted provided that the following conditions are met:
958
+ * Redistributions of source code must retain the above copyright
959
+ notice, this list of conditions and the following disclaimer.
960
+ * Redistributions in binary form must reproduce the above copyright
961
+ notice, this list of conditions and the following disclaimer in the
962
+ documentation and/or other materials provided with the distribution.
963
+ * Neither the name of ESN, Electronic Arts Inc. nor the
964
+ names of its contributors may be used to endorse or promote products
965
+ derived from this software without specific prior written permission.
966
+
967
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
968
+ ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
969
+ WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
970
+ DISCLAIMED. IN NO EVENT SHALL ELECTRONIC ARTS INC. BE LIABLE
971
+ FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
972
+ (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
973
+ LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
974
+ ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
975
+ (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
976
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
977
+
978
+ ----
979
+
980
+ Portions of code from MODP_ASCII - Ascii transformations (upper/lower, etc)
981
+ https://github.com/client9/stringencoders
982
+
983
+ Copyright 2005, 2006, 2007
984
+ Nick Galbreath -- nickg [at] modp [dot] com
985
+ All rights reserved.
986
+
987
+ Redistribution and use in source and binary forms, with or without
988
+ modification, are permitted provided that the following conditions are
989
+ met:
990
+
991
+ Redistributions of source code must retain the above copyright
992
+ notice, this list of conditions and the following disclaimer.
993
+
994
+ Redistributions in binary form must reproduce the above copyright
995
+ notice, this list of conditions and the following disclaimer in the
996
+ documentation and/or other materials provided with the distribution.
997
+
998
+ Neither the name of the modp.com nor the names of its
999
+ contributors may be used to endorse or promote products derived from
1000
+ this software without specific prior written permission.
1001
+
1002
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
1003
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1005
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1006
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1007
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1008
+ LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
1009
+ DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
1010
+ THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
1011
+ (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
1012
+ OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
1013
+
1014
+ This is the standard "new" BSD license:
1015
+ http://www.opensource.org/licenses/bsd-license.php
1016
+
1017
+ https://github.com/client9/stringencoders/blob/cfd5c1507325ae497ea9bacdacba12c0ffd79d30/COPYING
1018
+
1019
+ ----
1020
+
1021
+ Numeric decoder derived from from TCL library
1022
+ https://opensource.apple.com/source/tcl/tcl-14/tcl/license.terms
1023
+ * Copyright (c) 1988-1993 The Regents of the University of California.
1024
+ * Copyright (c) 1994 Sun Microsystems, Inc.
1025
+
1026
+ This software is copyrighted by the Regents of the University of
1027
+ California, Sun Microsystems, Inc., Scriptics Corporation, ActiveState
1028
+ Corporation and other parties. The following terms apply to all files
1029
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1030
+ individual files.
1031
+
1032
+ The authors hereby grant permission to use, copy, modify, distribute,
1033
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1034
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1035
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1036
+ license, or royalty fee is required for any of the authorized uses.
1037
+ Modifications to this software may be copyrighted by their authors
1038
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1039
+ the new terms are clearly indicated on the first page of each file where
1040
+ they apply.
1041
+
1042
+ IN NO EVENT SHALL THE AUTHORS OR DISTRIBUTORS BE LIABLE TO ANY PARTY
1043
+ FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES
1044
+ ARISING OUT OF THE USE OF THIS SOFTWARE, ITS DOCUMENTATION, OR ANY
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1052
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+ MODIFICATIONS.
1054
+
1055
+ GOVERNMENT USE: If you are acquiring this software on behalf of the
1056
+ U.S. government, the Government shall have only "Restricted Rights"
1057
+ in the software and related documentation as defined in the Federal
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1059
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+ 252.227-7013 (c) (1) of DFARs. Notwithstanding the foregoing, the
1063
+ authors grant the U.S. Government and others acting in its behalf
1064
+ permission to use and distribute the software in accordance with the
1065
+ terms specified in this license.
1066
+ Classifier: Development Status :: 5 - Production/Stable
1067
+ Classifier: Environment :: Console
1068
+ Classifier: Intended Audience :: Science/Research
1069
+ Classifier: License :: OSI Approved :: BSD License
1070
+ Classifier: Operating System :: OS Independent
1071
+ Classifier: Programming Language :: Cython
1072
+ Classifier: Programming Language :: Python
1073
+ Classifier: Programming Language :: Python :: 3
1074
+ Classifier: Programming Language :: Python :: 3 :: Only
1075
+ Classifier: Programming Language :: Python :: 3.11
1076
+ Classifier: Programming Language :: Python :: 3.12
1077
+ Classifier: Programming Language :: Python :: 3.13
1078
+ Classifier: Programming Language :: Python :: 3.14
1079
+ Classifier: Topic :: Scientific/Engineering
1080
+ Project-URL: homepage, https://pandas.pydata.org
1081
+ Project-URL: documentation, https://pandas.pydata.org/docs/
1082
+ Project-URL: repository, https://github.com/pandas-dev/pandas
1083
+ Requires-Python: >=3.11
1084
+ Requires-Dist: numpy>=1.26.0; python_version < "3.14"
1085
+ Requires-Dist: numpy>=2.3.3; python_version >= "3.14"
1086
+ Requires-Dist: python-dateutil>=2.8.2
1087
+ Requires-Dist: tzdata; sys_platform == "win32"
1088
+ Requires-Dist: tzdata; sys_platform == "emscripten"
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+ Requires-Dist: psycopg2>=2.9.10; extra == "all"
1172
+ Requires-Dist: pyarrow>=13.0.0; extra == "all"
1173
+ Requires-Dist: pyiceberg>=0.8.1; extra == "all"
1174
+ Requires-Dist: pymysql>=1.1.1; extra == "all"
1175
+ Requires-Dist: PyQt5>=5.15.9; extra == "all"
1176
+ Requires-Dist: pyreadstat>=1.2.8; extra == "all"
1177
+ Requires-Dist: pytest>=8.3.4; extra == "all"
1178
+ Requires-Dist: pytest-xdist>=3.6.1; extra == "all"
1179
+ Requires-Dist: python-calamine>=0.3.0; extra == "all"
1180
+ Requires-Dist: pytz>=2024.2; extra == "all"
1181
+ Requires-Dist: pyxlsb>=1.0.10; extra == "all"
1182
+ Requires-Dist: qtpy>=2.4.2; extra == "all"
1183
+ Requires-Dist: scipy>=1.14.1; extra == "all"
1184
+ Requires-Dist: s3fs>=2024.10.0; extra == "all"
1185
+ Requires-Dist: SQLAlchemy>=2.0.36; extra == "all"
1186
+ Requires-Dist: tables>=3.10.1; extra == "all"
1187
+ Requires-Dist: tabulate>=0.9.0; extra == "all"
1188
+ Requires-Dist: xarray>=2024.10.0; extra == "all"
1189
+ Requires-Dist: xlrd>=2.0.1; extra == "all"
1190
+ Requires-Dist: xlsxwriter>=3.2.0; extra == "all"
1191
+ Requires-Dist: zstandard>=0.23.0; extra == "all"
1192
+ Description-Content-Type: text/markdown
1193
+
1194
+ <picture align="center">
1195
+ <source media="(prefers-color-scheme: dark)" srcset="https://pandas.pydata.org/static/img/pandas_white.svg">
1196
+ <img alt="Pandas Logo" src="https://pandas.pydata.org/static/img/pandas.svg">
1197
+ </picture>
1198
+
1199
+ -----------------
1200
+
1201
+ # pandas: A Powerful Python Data Analysis Toolkit
1202
+
1203
+ | | |
1204
+ | --- | --- |
1205
+ | Testing | [![CI - Test](https://github.com/pandas-dev/pandas/actions/workflows/unit-tests.yml/badge.svg)](https://github.com/pandas-dev/pandas/actions/workflows/unit-tests.yml) [![Coverage](https://codecov.io/github/pandas-dev/pandas/coverage.svg?branch=main)](https://codecov.io/gh/pandas-dev/pandas) |
1206
+ | Package | [![PyPI Latest Release](https://img.shields.io/pypi/v/pandas.svg)](https://pypi.org/project/pandas/) [![PyPI Downloads](https://img.shields.io/pypi/dm/pandas.svg?label=PyPI%20downloads)](https://pypi.org/project/pandas/) [![Conda Latest Release](https://anaconda.org/conda-forge/pandas/badges/version.svg)](https://anaconda.org/conda-forge/pandas) [![Conda Downloads](https://img.shields.io/conda/dn/conda-forge/pandas.svg?label=Conda%20downloads)](https://anaconda.org/conda-forge/pandas) |
1207
+ | Meta | [![Powered by NumFOCUS](https://img.shields.io/badge/powered%20by-NumFOCUS-orange.svg?style=flat&colorA=E1523D&colorB=007D8A)](https://numfocus.org) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3509134.svg)](https://doi.org/10.5281/zenodo.3509134) [![License - BSD 3-Clause](https://img.shields.io/pypi/l/pandas.svg)](https://github.com/pandas-dev/pandas/blob/main/LICENSE) [![Slack](https://img.shields.io/badge/join_Slack-information-brightgreen.svg?logo=slack)](https://pandas.pydata.org/docs/dev/development/community.html?highlight=slack#community-slack) [![LFX Health Score](https://insights.linuxfoundation.org/api/badge/health-score?project=pandas-dev-pandas)](https://insights.linuxfoundation.org/project/pandas-dev-pandas) |
1208
+
1209
+
1210
+ ## What is it?
1211
+
1212
+ **pandas** is a Python package that provides fast, flexible, and expressive data
1213
+ structures designed to make working with "relational" or "labeled" data both
1214
+ easy and intuitive. It aims to be the fundamental high-level building block for
1215
+ doing practical, **real-world** data analysis in Python. Additionally, it has
1216
+ the broader goal of becoming **the most powerful and flexible open-source data
1217
+ analysis/manipulation tool available in any language**. It is already well on
1218
+ its way towards this goal.
1219
+
1220
+ ## Table of Contents
1221
+
1222
+ - [Main Features](#main-features)
1223
+ - [Where to get it](#where-to-get-it)
1224
+ - [Dependencies](#dependencies)
1225
+ - [Installation from sources](#installation-from-sources)
1226
+ - [License](#license)
1227
+ - [Documentation](#documentation)
1228
+ - [Background](#background)
1229
+ - [Getting Help](#getting-help)
1230
+ - [Discussion and Development](#discussion-and-development)
1231
+ - [Contributing to pandas](#contributing-to-pandas)
1232
+
1233
+ ## Main Features
1234
+ Here are just a few of the things that pandas does well:
1235
+
1236
+ - Easy handling of [**missing data**][missing-data] (represented as
1237
+ `NaN`, `NA`, or `NaT`) in floating point as well as non-floating point data
1238
+ - Size mutability: columns can be [**inserted and
1239
+ deleted**][insertion-deletion] from DataFrame and higher dimensional
1240
+ objects
1241
+ - Automatic and explicit [**data alignment**][alignment]: objects can
1242
+ be explicitly aligned to a set of labels, or the user can simply
1243
+ ignore the labels and let `Series`, `DataFrame`, etc. automatically
1244
+ align the data for you in computations
1245
+ - Powerful, flexible [**group by**][groupby] functionality to perform
1246
+ split-apply-combine operations on data sets, for both aggregating
1247
+ and transforming data
1248
+ - Make it [**easy to convert**][conversion] ragged,
1249
+ differently-indexed data in other Python and NumPy data structures
1250
+ into DataFrame objects
1251
+ - Intelligent label-based [**slicing**][slicing], [**fancy
1252
+ indexing**][fancy-indexing], and [**subsetting**][subsetting] of
1253
+ large data sets
1254
+ - Intuitive [**merging**][merging] and [**joining**][joining] data
1255
+ sets
1256
+ - Flexible [**reshaping**][reshape] and [**pivoting**][pivot-table] of
1257
+ data sets
1258
+ - [**Hierarchical**][mi] labeling of axes (possible to have multiple
1259
+ labels per tick)
1260
+ - Robust I/O tools for loading data from [**flat files**][flat-files]
1261
+ (CSV and delimited), [**Excel files**][excel], [**databases**][db],
1262
+ and saving/loading data from the ultrafast [**HDF5 format**][hdfstore]
1263
+ - [**Time series**][timeseries]-specific functionality: date range
1264
+ generation and frequency conversion, moving window statistics,
1265
+ date shifting and lagging
1266
+
1267
+
1268
+ [missing-data]: https://pandas.pydata.org/pandas-docs/stable/user_guide/missing_data.html
1269
+ [insertion-deletion]: https://pandas.pydata.org/pandas-docs/stable/user_guide/dsintro.html#column-selection-addition-deletion
1270
+ [alignment]: https://pandas.pydata.org/pandas-docs/stable/user_guide/dsintro.html?highlight=alignment#intro-to-data-structures
1271
+ [groupby]: https://pandas.pydata.org/pandas-docs/stable/user_guide/groupby.html#group-by-split-apply-combine
1272
+ [conversion]: https://pandas.pydata.org/pandas-docs/stable/user_guide/dsintro.html#dataframe
1273
+ [slicing]: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#slicing-ranges
1274
+ [fancy-indexing]: https://pandas.pydata.org/pandas-docs/stable/user_guide/advanced.html#advanced
1275
+ [subsetting]: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#boolean-indexing
1276
+ [merging]: https://pandas.pydata.org/pandas-docs/stable/user_guide/merging.html#database-style-dataframe-or-named-series-joining-merging
1277
+ [joining]: https://pandas.pydata.org/pandas-docs/stable/user_guide/merging.html#joining-on-index
1278
+ [reshape]: https://pandas.pydata.org/pandas-docs/stable/user_guide/reshaping.html
1279
+ [pivot-table]: https://pandas.pydata.org/pandas-docs/stable/user_guide/reshaping.html
1280
+ [mi]: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#hierarchical-indexing-multiindex
1281
+ [flat-files]: https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#csv-text-files
1282
+ [excel]: https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#excel-files
1283
+ [db]: https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#sql-queries
1284
+ [hdfstore]: https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#hdf5-pytables
1285
+ [timeseries]: https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#time-series-date-functionality
1286
+
1287
+ ## Where to get it
1288
+ The source code is currently hosted on GitHub at:
1289
+ https://github.com/pandas-dev/pandas
1290
+
1291
+ Binary installers for the latest released version are available at the [Python
1292
+ Package Index (PyPI)](https://pypi.org/project/pandas) and on [Conda](https://anaconda.org/conda-forge/pandas).
1293
+
1294
+ ```sh
1295
+ # conda
1296
+ conda install -c conda-forge pandas
1297
+ ```
1298
+
1299
+ ```sh
1300
+ # or PyPI
1301
+ pip install pandas
1302
+ ```
1303
+
1304
+ The list of changes to pandas between each release can be found
1305
+ [here](https://pandas.pydata.org/pandas-docs/stable/whatsnew/index.html). For full
1306
+ details, see the commit logs at https://github.com/pandas-dev/pandas.
1307
+
1308
+ ## Dependencies
1309
+ - [NumPy - Adds support for large, multi-dimensional arrays, matrices and high-level mathematical functions to operate on these arrays](https://www.numpy.org)
1310
+ - [python-dateutil - Provides powerful extensions to the standard datetime module](https://dateutil.readthedocs.io/en/stable/index.html)
1311
+ - [tzdata - Provides an IANA time zone database](https://tzdata.readthedocs.io/en/latest/) (Only required on Windows/Emscripten)
1312
+
1313
+ See the [full installation instructions](https://pandas.pydata.org/pandas-docs/stable/install.html#dependencies) for minimum supported versions of required, recommended and optional dependencies.
1314
+
1315
+ ## Installation from sources
1316
+ To install pandas from source you need [Cython](https://cython.org/) in addition to the normal
1317
+ dependencies above. Cython can be installed from PyPI:
1318
+
1319
+ ```sh
1320
+ pip install cython
1321
+ ```
1322
+
1323
+ In the `pandas` directory (same one where you found this file after
1324
+ cloning the git repo), execute:
1325
+
1326
+ ```sh
1327
+ pip install .
1328
+ ```
1329
+
1330
+ or for installing in [development mode](https://pip.pypa.io/en/latest/cli/pip_install/#install-editable):
1331
+
1332
+
1333
+ ```sh
1334
+ python -m pip install -ve . --no-build-isolation --config-settings editable-verbose=true
1335
+ ```
1336
+
1337
+ See the full instructions for [installing from source](https://pandas.pydata.org/docs/dev/development/contributing_environment.html).
1338
+
1339
+ ## License
1340
+ [BSD 3](LICENSE)
1341
+
1342
+ ## Documentation
1343
+ The official documentation is hosted on [PyData.org](https://pandas.pydata.org/pandas-docs/stable/).
1344
+
1345
+ ## Background
1346
+ Work on ``pandas`` started at [AQR](https://www.aqr.com/) (a quantitative hedge fund) in 2008 and
1347
+ has been under active development since then.
1348
+
1349
+ ## Getting Help
1350
+
1351
+ For usage questions, the best place to go to is [Stack Overflow](https://stackoverflow.com/questions/tagged/pandas).
1352
+ Further, general questions and discussions can also take place on the [pydata mailing list](https://groups.google.com/forum/?fromgroups#!forum/pydata).
1353
+
1354
+ ## Discussion and Development
1355
+ Most development discussions take place on GitHub in this repo, via the [GitHub issue tracker](https://github.com/pandas-dev/pandas/issues).
1356
+
1357
+ Further, the [pandas-dev mailing list](https://mail.python.org/mailman/listinfo/pandas-dev) can also be used for specialized discussions or design issues, and a [Slack channel](https://pandas.pydata.org/docs/dev/development/community.html?highlight=slack#community-slack) is available for quick development related questions.
1358
+
1359
+ There are also frequent [community meetings](https://pandas.pydata.org/docs/dev/development/community.html#community-meeting) for project maintainers open to the community as well as monthly [new contributor meetings](https://pandas.pydata.org/docs/dev/development/community.html#new-contributor-meeting) to help support new contributors.
1360
+
1361
+ Additional information on the communication channels can be found on the [contributor community](https://pandas.pydata.org/docs/development/community.html) page.
1362
+
1363
+ ## Contributing to pandas
1364
+
1365
+ [![Open Source Helpers](https://www.codetriage.com/pandas-dev/pandas/badges/users.svg)](https://www.codetriage.com/pandas-dev/pandas)
1366
+
1367
+ All contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas are welcome.
1368
+
1369
+ A detailed overview on how to contribute can be found in the **[contributing guide](https://pandas.pydata.org/docs/dev/development/contributing.html)**.
1370
+
1371
+ If you are simply looking to start working with the pandas codebase, navigate to the [GitHub "issues" tab](https://github.com/pandas-dev/pandas/issues) and start looking through interesting issues. There are a number of issues listed under [Docs](https://github.com/pandas-dev/pandas/issues?q=is%3Aissue%20state%3Aopen%20label%3ADocs%20sort%3Aupdated-desc) and [good first issue](https://github.com/pandas-dev/pandas/issues?q=is%3Aissue%20state%3Aopen%20label%3A%22good%20first%20issue%22%20sort%3Aupdated-desc) where you could start out.
1372
+
1373
+ You can also triage issues which may include reproducing bug reports, or asking for vital information such as version numbers or reproduction instructions. If you would like to start triaging issues, one easy way to get started is to [subscribe to pandas on CodeTriage](https://www.codetriage.com/pandas-dev/pandas).
1374
+
1375
+ Or maybe through using pandas you have an idea of your own or are looking for something in the documentation and thinking ‘this can be improved’... you can do something about it!
1376
+
1377
+ Feel free to ask questions on the [mailing list](https://groups.google.com/forum/?fromgroups#!forum/pydata) or on [Slack](https://pandas.pydata.org/docs/dev/development/community.html?highlight=slack#community-slack).
1378
+
1379
+ As contributors and maintainers to this project, you are expected to abide by pandas' code of conduct. More information can be found at: [Contributor Code of Conduct](https://github.com/pandas-dev/.github/blob/master/CODE_OF_CONDUCT.md)
1380
+
1381
+ <hr>
1382
+
1383
+ [Go to Top](#table-of-contents)
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1
+ Metadata-Version: 2.4
2
+ Name: greenlet
3
+ Version: 3.3.2
4
+ Summary: Lightweight in-process concurrent programming
5
+ Author-email: Alexey Borzenkov <snaury@gmail.com>
6
+ Maintainer-email: Jason Madden <jason@seecoresoftware.com>
7
+ License-Expression: MIT AND PSF-2.0
8
+ Project-URL: Homepage, https://greenlet.readthedocs.io
9
+ Project-URL: Documentation, https://greenlet.readthedocs.io
10
+ Project-URL: Repository, https://github.com/python-greenlet/greenlet
11
+ Project-URL: Issues, https://github.com/python-greenlet/greenlet/issues
12
+ Project-URL: Changelog, https://greenlet.readthedocs.io/en/latest/changes.html
13
+ Keywords: greenlet,coroutine,concurrency,threads,cooperative
14
+ Classifier: Development Status :: 5 - Production/Stable
15
+ Classifier: Intended Audience :: Developers
16
+ Classifier: Natural Language :: English
17
+ Classifier: Programming Language :: C
18
+ Classifier: Programming Language :: Python
19
+ Classifier: Programming Language :: Python :: 3
20
+ Classifier: Programming Language :: Python :: 3.10
21
+ Classifier: Programming Language :: Python :: 3.11
22
+ Classifier: Programming Language :: Python :: 3.12
23
+ Classifier: Programming Language :: Python :: 3.13
24
+ Classifier: Programming Language :: Python :: 3.14
25
+ Classifier: Operating System :: OS Independent
26
+ Classifier: Topic :: Software Development :: Libraries :: Python Modules
27
+ Requires-Python: >=3.10
28
+ Description-Content-Type: text/x-rst
29
+ License-File: LICENSE
30
+ License-File: LICENSE.PSF
31
+ Provides-Extra: docs
32
+ Requires-Dist: Sphinx; extra == "docs"
33
+ Requires-Dist: furo; extra == "docs"
34
+ Provides-Extra: test
35
+ Requires-Dist: objgraph; extra == "test"
36
+ Requires-Dist: psutil; extra == "test"
37
+ Requires-Dist: setuptools; extra == "test"
38
+ Dynamic: license-file
39
+
40
+ .. This file is included into docs/history.rst
41
+
42
+
43
+ Greenlets are lightweight coroutines for in-process concurrent
44
+ programming.
45
+
46
+ The "greenlet" package is a spin-off of `Stackless`_, a version of
47
+ CPython that supports micro-threads called "tasklets". Tasklets run
48
+ pseudo-concurrently (typically in a single or a few OS-level threads)
49
+ and are synchronized with data exchanges on "channels".
50
+
51
+ A "greenlet", on the other hand, is a still more primitive notion of
52
+ micro-thread with no implicit scheduling; coroutines, in other words.
53
+ This is useful when you want to control exactly when your code runs.
54
+ You can build custom scheduled micro-threads on top of greenlet;
55
+ however, it seems that greenlets are useful on their own as a way to
56
+ make advanced control flow structures. For example, we can recreate
57
+ generators; the difference with Python's own generators is that our
58
+ generators can call nested functions and the nested functions can
59
+ yield values too. (Additionally, you don't need a "yield" keyword. See
60
+ the example in `test_generator.py
61
+ <https://github.com/python-greenlet/greenlet/blob/adca19bf1f287b3395896a8f41f3f4fd1797fdc7/src/greenlet/tests/test_generator.py#L1>`_).
62
+
63
+ Greenlets are provided as a C extension module for the regular unmodified
64
+ interpreter.
65
+
66
+ .. _`Stackless`: http://www.stackless.com
67
+
68
+
69
+ Who is using Greenlet?
70
+ ======================
71
+
72
+ There are several libraries that use Greenlet as a more flexible
73
+ alternative to Python's built in coroutine support:
74
+
75
+ - `Concurrence`_
76
+ - `Eventlet`_
77
+ - `Gevent`_
78
+
79
+ .. _Concurrence: http://opensource.hyves.org/concurrence/
80
+ .. _Eventlet: http://eventlet.net/
81
+ .. _Gevent: http://www.gevent.org/
82
+
83
+ Getting Greenlet
84
+ ================
85
+
86
+ The easiest way to get Greenlet is to install it with pip::
87
+
88
+ pip install greenlet
89
+
90
+
91
+ Source code archives and binary distributions are available on the
92
+ python package index at https://pypi.org/project/greenlet
93
+
94
+ The source code repository is hosted on github:
95
+ https://github.com/python-greenlet/greenlet
96
+
97
+ Documentation is available on readthedocs.org:
98
+ https://greenlet.readthedocs.io
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1
+ Metadata-Version: 2.1
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+ Name: mdurl
3
+ Version: 0.1.2
4
+ Summary: Markdown URL utilities
5
+ Keywords: markdown,commonmark
6
+ Author-email: Taneli Hukkinen <hukkin@users.noreply.github.com>
7
+ Requires-Python: >=3.7
8
+ Description-Content-Type: text/markdown
9
+ Classifier: License :: OSI Approved :: MIT License
10
+ Classifier: Operating System :: MacOS
11
+ Classifier: Operating System :: Microsoft :: Windows
12
+ Classifier: Operating System :: POSIX :: Linux
13
+ Classifier: Programming Language :: Python :: 3 :: Only
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+ Classifier: Programming Language :: Python :: 3.7
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+ Classifier: Programming Language :: Python :: 3.8
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+ Classifier: Programming Language :: Python :: 3.9
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+ Classifier: Programming Language :: Python :: 3.10
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+ Classifier: Programming Language :: Python :: Implementation :: CPython
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+ Classifier: Programming Language :: Python :: Implementation :: PyPy
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+ Classifier: Topic :: Software Development :: Libraries :: Python Modules
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+ Classifier: Typing :: Typed
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+ Project-URL: Homepage, https://github.com/executablebooks/mdurl
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+
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+ # mdurl
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+
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+ [![Build Status](https://github.com/executablebooks/mdurl/workflows/Tests/badge.svg?branch=master)](https://github.com/executablebooks/mdurl/actions?query=workflow%3ATests+branch%3Amaster+event%3Apush)
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+ [![codecov.io](https://codecov.io/gh/executablebooks/mdurl/branch/master/graph/badge.svg)](https://codecov.io/gh/executablebooks/mdurl)
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+ [![PyPI version](https://img.shields.io/pypi/v/mdurl)](https://pypi.org/project/mdurl)
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+
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+ This is a Python port of the JavaScript [mdurl](https://www.npmjs.com/package/mdurl) package.
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+ See the [upstream README.md file](https://github.com/markdown-it/mdurl/blob/master/README.md) for API documentation.
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+