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1
+ Metadata-Version: 2.4
2
+ Name: safetensors
3
+ Version: 0.8.0
4
+ Classifier: Development Status :: 5 - Production/Stable
5
+ Classifier: Intended Audience :: Developers
6
+ Classifier: Intended Audience :: Education
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+ Classifier: Intended Audience :: Science/Research
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+ Classifier: License :: OSI Approved :: Apache Software License
9
+ Classifier: Operating System :: OS Independent
10
+ Classifier: Programming Language :: Python :: 3
11
+ Classifier: Programming Language :: Python :: 3.10
12
+ 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
16
+ Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
17
+ Classifier: Typing :: Typed
18
+ Requires-Dist: safetensors[torch] ; extra == 'all'
19
+ Requires-Dist: safetensors[numpy] ; extra == 'all'
20
+ Requires-Dist: safetensors[jax] ; extra == 'all'
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+ Requires-Dist: safetensors[paddlepaddle] ; extra == 'all'
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+ Requires-Dist: safetensors[convert] ; extra == 'all'
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+ Requires-Dist: safetensors[quality] ; extra == 'all'
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+ Requires-Dist: safetensors[testing] ; extra == 'all'
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+ Requires-Dist: safetensors[torch] ; extra == 'convert'
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+ Requires-Dist: huggingface-hub>=1.4 ; extra == 'convert'
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+ Requires-Dist: safetensors[all] ; extra == 'dev'
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+ Requires-Dist: safetensors[pinned-tf] ; extra == 'dev'
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+ Requires-Dist: safetensors[numpy] ; extra == 'jax'
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+ Requires-Dist: flax>=0.6.3 ; extra == 'jax'
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+ Requires-Dist: jax>=0.3.25 ; extra == 'jax'
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+ Requires-Dist: jaxlib>=0.3.25 ; extra == 'jax'
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+ Requires-Dist: mlx>=0.0.9 ; extra == 'mlx'
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+ Requires-Dist: numpy>=1.24.6 ; extra == 'numpy'
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+ Requires-Dist: safetensors[numpy] ; extra == 'paddlepaddle'
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+ Requires-Dist: paddlepaddle>=2.4.1 ; extra == 'paddlepaddle'
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+ Requires-Dist: safetensors[numpy] ; extra == 'pinned-tf'
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+ Requires-Dist: tensorflow==2.18.0 ; extra == 'pinned-tf'
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+ Requires-Dist: ruff ; extra == 'quality'
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+ Requires-Dist: safetensors[numpy] ; extra == 'tensorflow'
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+ Requires-Dist: tensorflow>=2.11.0 ; extra == 'tensorflow'
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+ Requires-Dist: safetensors[numpy] ; extra == 'testing'
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+ Requires-Dist: h5py>=3.7.0 ; extra == 'testing'
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+ Requires-Dist: fsspec>=2024.6.0 ; extra == 'testing'
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+ Requires-Dist: s3fs>=2024.6.0 ; extra == 'testing'
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+ Requires-Dist: safetensors[numpy] ; extra == 'tf-nightly'
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+ Requires-Dist: tf-nightly ; extra == 'tf-nightly'
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+ Requires-Dist: safetensors[numpy] ; extra == 'torch'
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+ Requires-Dist: torch>=2.4 ; extra == 'torch'
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+ Provides-Extra: all
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+ Provides-Extra: convert
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+ Provides-Extra: dev
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+ Provides-Extra: jax
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+ Provides-Extra: mlx
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+ Provides-Extra: numpy
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+ Provides-Extra: paddlepaddle
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+ Provides-Extra: pinned-tf
62
+ Provides-Extra: quality
63
+ Provides-Extra: tensorflow
64
+ Provides-Extra: testing
65
+ Provides-Extra: tf-nightly
66
+ Provides-Extra: torch
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+ License-File: LICENSE
68
+ Author-email: Nicolas Patry <patry.nicolas@protonmail.com>, Luc Georges <luc@huggingface.co>, Daniël De Kok <daniel.dekok@huggingface.co>
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+ Requires-Python: >=3.10
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+ Description-Content-Type: text/markdown; charset=UTF-8; variant=GFM
71
+ Project-URL: Homepage, https://github.com/huggingface/safetensors
72
+ Project-URL: Source, https://github.com/huggingface/safetensors
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+
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+ ## Installation
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+
76
+ ```
77
+ pip install safetensors
78
+ ```
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+
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+
81
+ ## Usage
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+
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+ ### Numpy
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+
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+ ```python
86
+ from safetensors.numpy import save_file, load_file
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+ import numpy as np
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+
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+ tensors = {
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+ "a": np.zeros((2, 2)),
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+ "b": np.zeros((2, 3), dtype=np.uint8)
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+ }
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+
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+ save_file(tensors, "./model.safetensors")
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+
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+
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+ # Now loading
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+ loaded = load_file("./model.safetensors")
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+ ```
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+
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+ ### Torch
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+
103
+ ```python
104
+ from safetensors.torch import save_file, load_file
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+ import torch
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+
107
+ tensors = {
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+ "a": torch.zeros((2, 2)),
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+ "b": torch.zeros((2, 3), dtype=torch.uint8)
110
+ }
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+
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+ save_file(tensors, "./model.safetensors")
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+
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+
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+ # Now loading
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+ loaded = load_file("./model.safetensors")
117
+ ```
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+
119
+ ### Developing
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+
121
+ ```
122
+ # inside ./safetensors/bindings/python
123
+ pip install .[dev]
124
+ ```
125
+ Should be enough to install this library locally.
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+
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+ ### Testing
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+
129
+ ```
130
+ # inside ./safetensors/bindings/python
131
+ pip install .[dev]
132
+ pytest -sv tests/
133
+ ```
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+
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+ Metadata-Version: 2.4
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+ Name: SQLAlchemy
3
+ Version: 2.0.51
4
+ Summary: Database Abstraction Library
5
+ Home-page: https://www.sqlalchemy.org
6
+ Author: Mike Bayer
7
+ Author-email: mike_mp@zzzcomputing.com
8
+ License: MIT
9
+ Project-URL: Documentation, https://docs.sqlalchemy.org
10
+ Project-URL: Issue Tracker, https://github.com/sqlalchemy/sqlalchemy/
11
+ Classifier: Development Status :: 5 - Production/Stable
12
+ Classifier: Intended Audience :: Developers
13
+ Classifier: Operating System :: OS Independent
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+ Classifier: Programming Language :: Python
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+ Classifier: Programming Language :: Python :: 3
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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 :: 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 :: Implementation :: CPython
24
+ Classifier: Programming Language :: Python :: Implementation :: PyPy
25
+ Classifier: Topic :: Database :: Front-Ends
26
+ Requires-Python: >=3.7
27
+ Description-Content-Type: text/x-rst
28
+ License-File: LICENSE
29
+ Requires-Dist: importlib-metadata; python_version < "3.8"
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+ Requires-Dist: greenlet>=1; platform_machine == "aarch64" or (platform_machine == "ppc64le" or (platform_machine == "x86_64" or (platform_machine == "amd64" or (platform_machine == "AMD64" or (platform_machine == "win32" or platform_machine == "WIN32")))))
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+ Requires-Dist: typing-extensions>=4.6.0
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+ Provides-Extra: asyncio
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+ Requires-Dist: greenlet>=1; extra == "asyncio"
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+ Provides-Extra: mypy
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+ Provides-Extra: mssql-pyodbc
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+ Requires-Dist: pyodbc; extra == "mssql-pyodbc"
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+ Provides-Extra: mysql
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+ Requires-Dist: mysqlclient>=1.4.0; extra == "mysql"
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+ Provides-Extra: mysql-connector
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+ Requires-Dist: mysql-connector-python; extra == "mysql-connector"
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+ Provides-Extra: mariadb-connector
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+ Provides-Extra: postgresql
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+ Provides-Extra: pymysql
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+ Requires-Dist: pymysql; extra == "pymysql"
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+ Provides-Extra: aiomysql
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+ Requires-Dist: greenlet>=1; extra == "aiomysql"
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+ Provides-Extra: aiosqlite
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+ Requires-Dist: greenlet>=1; extra == "aiosqlite"
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+ Requires-Dist: aiosqlite; extra == "aiosqlite"
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+ Requires-Dist: typing_extensions!=3.10.0.1; extra == "aiosqlite"
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+ Provides-Extra: sqlcipher
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+ Requires-Dist: sqlcipher3_binary; extra == "sqlcipher"
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+ Dynamic: license-file
85
+
86
+ SQLAlchemy
87
+ ==========
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+
89
+ |PyPI| |Python| |Downloads|
90
+
91
+ .. |PyPI| image:: https://img.shields.io/pypi/v/sqlalchemy
92
+ :target: https://pypi.org/project/sqlalchemy
93
+ :alt: PyPI
94
+
95
+ .. |Python| image:: https://img.shields.io/pypi/pyversions/sqlalchemy
96
+ :target: https://pypi.org/project/sqlalchemy
97
+ :alt: PyPI - Python Version
98
+
99
+ .. |Downloads| image:: https://static.pepy.tech/badge/sqlalchemy/month
100
+ :target: https://pepy.tech/project/sqlalchemy
101
+ :alt: PyPI - Downloads
102
+
103
+
104
+ The Python SQL Toolkit and Object Relational Mapper
105
+
106
+ Introduction
107
+ -------------
108
+
109
+ SQLAlchemy is the Python SQL toolkit and Object Relational Mapper
110
+ that gives application developers the full power and
111
+ flexibility of SQL. SQLAlchemy provides a full suite
112
+ of well known enterprise-level persistence patterns,
113
+ designed for efficient and high-performing database
114
+ access, adapted into a simple and Pythonic domain
115
+ language.
116
+
117
+ Major SQLAlchemy features include:
118
+
119
+ * An industrial strength ORM, built
120
+ from the core on the identity map, unit of work,
121
+ and data mapper patterns. These patterns
122
+ allow transparent persistence of objects
123
+ using a declarative configuration system.
124
+ Domain models
125
+ can be constructed and manipulated naturally,
126
+ and changes are synchronized with the
127
+ current transaction automatically.
128
+ * A relationally-oriented query system, exposing
129
+ the full range of SQL's capabilities
130
+ explicitly, including joins, subqueries,
131
+ correlation, and most everything else,
132
+ in terms of the object model.
133
+ Writing queries with the ORM uses the same
134
+ techniques of relational composition you use
135
+ when writing SQL. While you can drop into
136
+ literal SQL at any time, it's virtually never
137
+ needed.
138
+ * A comprehensive and flexible system
139
+ of eager loading for related collections and objects.
140
+ Collections are cached within a session,
141
+ and can be loaded on individual access, all
142
+ at once using joins, or by query per collection
143
+ across the full result set.
144
+ * A Core SQL construction system and DBAPI
145
+ interaction layer. The SQLAlchemy Core is
146
+ separate from the ORM and is a full database
147
+ abstraction layer in its own right, and includes
148
+ an extensible Python-based SQL expression
149
+ language, schema metadata, connection pooling,
150
+ type coercion, and custom types.
151
+ * All primary and foreign key constraints are
152
+ assumed to be composite and natural. Surrogate
153
+ integer primary keys are of course still the
154
+ norm, but SQLAlchemy never assumes or hardcodes
155
+ to this model.
156
+ * Database introspection and generation. Database
157
+ schemas can be "reflected" in one step into
158
+ Python structures representing database metadata;
159
+ those same structures can then generate
160
+ CREATE statements right back out - all within
161
+ the Core, independent of the ORM.
162
+
163
+ SQLAlchemy's philosophy:
164
+
165
+ * SQL databases behave less and less like object
166
+ collections the more size and performance start to
167
+ matter; object collections behave less and less like
168
+ tables and rows the more abstraction starts to matter.
169
+ SQLAlchemy aims to accommodate both of these
170
+ principles.
171
+ * An ORM doesn't need to hide the "R". A relational
172
+ database provides rich, set-based functionality
173
+ that should be fully exposed. SQLAlchemy's
174
+ ORM provides an open-ended set of patterns
175
+ that allow a developer to construct a custom
176
+ mediation layer between a domain model and
177
+ a relational schema, turning the so-called
178
+ "object relational impedance" issue into
179
+ a distant memory.
180
+ * The developer, in all cases, makes all decisions
181
+ regarding the design, structure, and naming conventions
182
+ of both the object model as well as the relational
183
+ schema. SQLAlchemy only provides the means
184
+ to automate the execution of these decisions.
185
+ * With SQLAlchemy, there's no such thing as
186
+ "the ORM generated a bad query" - you
187
+ retain full control over the structure of
188
+ queries, including how joins are organized,
189
+ how subqueries and correlation is used, what
190
+ columns are requested. Everything SQLAlchemy
191
+ does is ultimately the result of a developer-initiated
192
+ decision.
193
+ * Don't use an ORM if the problem doesn't need one.
194
+ SQLAlchemy consists of a Core and separate ORM
195
+ component. The Core offers a full SQL expression
196
+ language that allows Pythonic construction
197
+ of SQL constructs that render directly to SQL
198
+ strings for a target database, returning
199
+ result sets that are essentially enhanced DBAPI
200
+ cursors.
201
+ * Transactions should be the norm. With SQLAlchemy's
202
+ ORM, nothing goes to permanent storage until
203
+ commit() is called. SQLAlchemy encourages applications
204
+ to create a consistent means of delineating
205
+ the start and end of a series of operations.
206
+ * Never render a literal value in a SQL statement.
207
+ Bound parameters are used to the greatest degree
208
+ possible, allowing query optimizers to cache
209
+ query plans effectively and making SQL injection
210
+ attacks a non-issue.
211
+
212
+ Documentation
213
+ -------------
214
+
215
+ Latest documentation is at:
216
+
217
+ https://www.sqlalchemy.org/docs/
218
+
219
+ Installation / Requirements
220
+ ---------------------------
221
+
222
+ Full documentation for installation is at
223
+ `Installation <https://www.sqlalchemy.org/docs/intro.html#installation>`_.
224
+
225
+ Getting Help / Development / Bug reporting
226
+ ------------------------------------------
227
+
228
+ Please refer to the `SQLAlchemy Community Guide <https://www.sqlalchemy.org/support.html>`_.
229
+
230
+ Code of Conduct
231
+ ---------------
232
+
233
+ Above all, SQLAlchemy places great emphasis on polite, thoughtful, and
234
+ constructive communication between users and developers.
235
+ Please see our current Code of Conduct at
236
+ `Code of Conduct <https://www.sqlalchemy.org/codeofconduct.html>`_.
237
+
238
+ License
239
+ -------
240
+
241
+ SQLAlchemy is distributed under the `MIT license
242
+ <https://www.opensource.org/licenses/mit-license.php>`_.
243
+
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+ Summary: Lightweight in-process concurrent programming
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+ Author-email: Alexey Borzenkov <snaury@gmail.com>
6
+ Maintainer-email: Jason Madden <jason@seecoresoftware.com>
7
+ License-Expression: MIT AND PSF-2.0
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+ Project-URL: Documentation, https://greenlet.readthedocs.io
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+ Classifier: Programming Language :: Python
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+ Classifier: Programming Language :: Python :: 3.10
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+ Classifier: Programming Language :: Python :: 3.11
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+ Classifier: Programming Language :: Python :: 3.12
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+ Classifier: Programming Language :: Python :: 3.14
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+ Classifier: Programming Language :: Python :: 3.15
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+ Classifier: Operating System :: OS Independent
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+ Classifier: Topic :: Software Development :: Libraries :: Python Modules
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+ Requires-Python: >=3.10
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+
41
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+
43
+
44
+ Greenlets are lightweight coroutines for in-process concurrent
45
+ programming.
46
+
47
+ The "greenlet" package is a spin-off of `Stackless`_, a version of
48
+ CPython that supports micro-threads called "tasklets". Tasklets run
49
+ pseudo-concurrently (typically in a single or a few OS-level threads)
50
+ and are synchronized with data exchanges on "channels".
51
+
52
+ A "greenlet", on the other hand, is a still more primitive notion of
53
+ micro-thread with no implicit scheduling; coroutines, in other words.
54
+ This is useful when you want to control exactly when your code runs.
55
+ You can build custom scheduled micro-threads on top of greenlet;
56
+ however, it seems that greenlets are useful on their own as a way to
57
+ make advanced control flow structures. For example, we can recreate
58
+ generators; the difference with Python's own generators is that our
59
+ generators can call nested functions and the nested functions can
60
+ yield values too. (Additionally, you don't need a "yield" keyword. See
61
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62
+ <https://github.com/python-greenlet/greenlet/blob/adca19bf1f287b3395896a8f41f3f4fd1797fdc7/src/greenlet/tests/test_generator.py#L1>`_).
63
+
64
+ Greenlets are provided as a C extension module for the regular unmodified
65
+ interpreter.
66
+
67
+ .. _`Stackless`: http://www.stackless.com
68
+
69
+
70
+ Who is using Greenlet?
71
+ ======================
72
+
73
+ There are several libraries that use Greenlet as a more flexible
74
+ alternative to Python's built in coroutine support:
75
+
76
+ - `Concurrence`_
77
+ - `Eventlet`_
78
+ - `Gevent`_
79
+
80
+ .. _Concurrence: http://opensource.hyves.org/concurrence/
81
+ .. _Eventlet: http://eventlet.net/
82
+ .. _Gevent: http://www.gevent.org/
83
+
84
+ Getting Greenlet
85
+ ================
86
+
87
+ The easiest way to get Greenlet is to install it with pip::
88
+
89
+ pip install greenlet
90
+
91
+
92
+ Source code archives and binary distributions are available on the
93
+ python package index at https://pypi.org/project/greenlet
94
+
95
+ The source code repository is hosted on github:
96
+ https://github.com/python-greenlet/greenlet
97
+
98
+ Documentation is available on readthedocs.org:
99
+ https://greenlet.readthedocs.io
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+ Classifier: Programming Language :: Python :: Implementation :: PyPy
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+ License-File: LICENSE.txt
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+ License-File: src/pip/_vendor/msgpack/COPYING
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+ License-File: src/pip/_vendor/packaging/LICENSE.APACHE
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+ License-File: src/pip/_vendor/requests/LICENSE
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+ License-File: src/pip/_vendor/resolvelib/LICENSE
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+ License-File: src/pip/_vendor/truststore/LICENSE
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+ License-File: src/pip/_vendor/urllib3/LICENSE.txt
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+ Project-URL: Changelog, https://pip.pypa.io/en/stable/news/
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+ Project-URL: Documentation, https://pip.pypa.io
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+ Project-URL: Homepage, https://pip.pypa.io/
47
+ Project-URL: Source, https://github.com/pypa/pip
48
+
49
+ pip - The Python Package Installer
50
+ ==================================
51
+
52
+ .. |pypi-version| image:: https://img.shields.io/pypi/v/pip.svg
53
+ :target: https://pypi.org/project/pip/
54
+ :alt: PyPI
55
+
56
+ .. |python-versions| image:: https://img.shields.io/pypi/pyversions/pip
57
+ :target: https://pypi.org/project/pip
58
+ :alt: PyPI - Python Version
59
+
60
+ .. |docs-badge| image:: https://readthedocs.org/projects/pip/badge/?version=latest
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+ :target: https://pip.pypa.io/en/latest
62
+ :alt: Documentation
63
+
64
+ |pypi-version| |python-versions| |docs-badge|
65
+
66
+ pip is the `package installer`_ for Python. You can use pip to install packages from the `Python Package Index`_ and other indexes.
67
+
68
+ Please take a look at our documentation for how to install and use pip:
69
+
70
+ * `Installation`_
71
+ * `Usage`_
72
+
73
+ We release updates regularly, with a new version every 3 months. Find more details in our documentation:
74
+
75
+ * `Release notes`_
76
+ * `Release process`_
77
+
78
+ If you find bugs, need help, or want to talk to the developers, please use our mailing lists or chat rooms:
79
+
80
+ * `Issue tracking`_
81
+ * `Discourse channel`_
82
+ * `User IRC`_
83
+
84
+ If you want to get involved, head over to GitHub to get the source code, look at our development documentation and feel free to jump on the developer mailing lists and chat rooms:
85
+
86
+ * `GitHub page`_
87
+ * `Development documentation`_
88
+ * `Development IRC`_
89
+
90
+ Code of Conduct
91
+ ---------------
92
+
93
+ Everyone interacting in the pip project's codebases, issue trackers, chat
94
+ rooms, and mailing lists is expected to follow the `PSF Code of Conduct`_.
95
+
96
+ .. _package installer: https://packaging.python.org/guides/tool-recommendations/
97
+ .. _Python Package Index: https://pypi.org
98
+ .. _Installation: https://pip.pypa.io/en/stable/installation/
99
+ .. _Usage: https://pip.pypa.io/en/stable/
100
+ .. _Release notes: https://pip.pypa.io/en/stable/news.html
101
+ .. _Release process: https://pip.pypa.io/en/latest/development/release-process/
102
+ .. _GitHub page: https://github.com/pypa/pip
103
+ .. _Development documentation: https://pip.pypa.io/en/latest/development
104
+ .. _Issue tracking: https://github.com/pypa/pip/issues
105
+ .. _Discourse channel: https://discuss.python.org/c/packaging
106
+ .. _User IRC: https://kiwiirc.com/nextclient/#ircs://irc.libera.chat:+6697/pypa
107
+ .. _Development IRC: https://kiwiirc.com/nextclient/#ircs://irc.libera.chat:+6697/pypa-dev
108
+ .. _PSF Code of Conduct: https://github.com/pypa/.github/blob/main/CODE_OF_CONDUCT.md
109
+
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+ Name: et_xmlfile
3
+ Version: 2.0.0
4
+ Summary: An implementation of lxml.xmlfile for the standard library
5
+ Home-page: https://foss.heptapod.net/openpyxl/et_xmlfile
6
+ Author: See AUTHORS.txt
7
+ Author-email: charlie.clark@clark-consulting.eu
8
+ License: MIT
9
+ Project-URL: Documentation, https://openpyxl.pages.heptapod.net/et_xmlfile/
10
+ Project-URL: Source, https://foss.heptapod.net/openpyxl/et_xmlfile
11
+ Project-URL: Tracker, https://foss.heptapod.net/openpyxl/et_xmfile/-/issues
12
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13
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14
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+ Classifier: Programming Language :: Python :: 3.10
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+ Classifier: Programming Language :: Python :: 3.11
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+ Classifier: Programming Language :: Python :: 3.12
23
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+ License-File: LICENCE.python
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+ License-File: LICENCE.rst
27
+ License-File: AUTHORS.txt
28
+
29
+ .. image:: https://foss.heptapod.net/openpyxl/et_xmlfile/badges/branch/default/coverage.svg
30
+ :target: https://coveralls.io/bitbucket/openpyxl/et_xmlfile?branch=default
31
+ :alt: coverage status
32
+
33
+ et_xmfile
34
+ =========
35
+
36
+ XML can use lots of memory, and et_xmlfile is a low memory library for creating large XML files
37
+ And, although the standard library already includes an incremental parser, `iterparse` it has no equivalent when writing XML. Once an element has been added to the tree, it is written to
38
+ the file or stream and the memory is then cleared.
39
+
40
+ This module is based upon the `xmlfile module from lxml <http://lxml.de/api.html#incremental-xml-generation>`_ with the aim of allowing code to be developed that will work with both libraries.
41
+ It was developed initially for the openpyxl project, but is now a standalone module.
42
+
43
+ The code was written by Elias Rabel as part of the `Python Düsseldorf <http://pyddf.de>`_ openpyxl sprint in September 2014.
44
+
45
+ Proper support for incremental writing was provided by Daniel Hillier in 2024
46
+
47
+ Note on performance
48
+ -------------------
49
+
50
+ The code was not developed with performance in mind, but turned out to be faster than the existing SAX-based implementation but is generally slower than lxml's xmlfile.
51
+ There is one area where an optimisation for lxml may negatively affect the performance of et_xmfile and that is when using the `.element()` method on the xmlfile context manager. It is, therefore, recommended simply to create Elements write these directly, as in the sample code.
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+ Name: huggingface_hub
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+ Version: 1.24.0
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+ Summary: Client library to download and publish models, datasets and other repos on the huggingface.co hub
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+ Home-page: https://github.com/huggingface/huggingface_hub
6
+ Author: Hugging Face, Inc.
7
+ Author-email: julien@huggingface.co
8
+ License: Apache-2.0
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+ Keywords: model-hub machine-learning models natural-language-processing deep-learning pytorch pretrained-models
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+ Classifier: Intended Audience :: Developers
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+ Classifier: Intended Audience :: Education
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+ Classifier: Intended Audience :: Science/Research
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+ Classifier: License :: OSI Approved :: Apache Software License
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+ Classifier: Operating System :: OS Independent
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+ Classifier: Programming Language :: Python :: 3
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+ Classifier: Programming Language :: Python :: 3 :: Only
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+ Classifier: Programming Language :: Python :: 3.10
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+ Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
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+ Provides-Extra: dev
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+ Requires-Dist: types-tqdm; extra == "dev"
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+ Requires-Dist: types-urllib3; extra == "dev"
149
+ Dynamic: author
150
+ Dynamic: author-email
151
+ Dynamic: classifier
152
+ Dynamic: description
153
+ Dynamic: description-content-type
154
+ Dynamic: home-page
155
+ Dynamic: keywords
156
+ Dynamic: license
157
+ Dynamic: license-file
158
+ Dynamic: provides-extra
159
+ Dynamic: requires-dist
160
+ Dynamic: requires-python
161
+ Dynamic: summary
162
+
163
+ <p align="center">
164
+ <picture>
165
+ <source media="(prefers-color-scheme: dark)" srcset="https://huggingface.co/datasets/huggingface/documentation-images/raw/main/huggingface_hub-dark.svg">
166
+ <source media="(prefers-color-scheme: light)" srcset="https://huggingface.co/datasets/huggingface/documentation-images/raw/main/huggingface_hub.svg">
167
+ <img alt="huggingface_hub library logo" src="https://huggingface.co/datasets/huggingface/documentation-images/raw/main/huggingface_hub.svg" width="352" height="59" style="max-width: 100%">
168
+ </picture>
169
+ <br/>
170
+ <br/>
171
+ </p>
172
+
173
+ <p align="center">
174
+ <i>The official CLI and Python client for the Hugging Face Hub.</i>
175
+ <br/>
176
+ <a href="#what-is-huggingface_hub">About</a>
177
+ ·
178
+ <a href="https://huggingface.co/docs/huggingface_hub">Documentation</a>
179
+ ·
180
+ <a href="https://huggingface.co/docs/huggingface_hub/en/installation">Install</a>
181
+ ·
182
+ <a href="https://huggingface.co/docs/huggingface_hub/en/guides/cli">CLI Guide</a>
183
+ ·
184
+ <a href="https://github.com/huggingface/huggingface_hub/blob/main/CONTRIBUTING.md">Contributing</a>
185
+ </p>
186
+
187
+ <p align="center">
188
+ <a href="https://huggingface.co/docs/huggingface_hub/en/index"><img alt="Documentation" src="https://img.shields.io/website/http/huggingface.co/docs/huggingface_hub/index.svg?down_color=red&down_message=offline&up_message=online&label=doc"></a>
189
+ <a href="https://github.com/huggingface/huggingface_hub/releases"><img alt="GitHub release" src="https://img.shields.io/github/release/huggingface/huggingface_hub.svg"></a>
190
+ <a href="https://github.com/huggingface/huggingface_hub"><img alt="PyPi version" src="https://img.shields.io/pypi/pyversions/huggingface_hub.svg"></a>
191
+ <a href="https://pypi.org/project/huggingface-hub"><img alt="PyPI - Downloads" src="https://img.shields.io/pypi/dm/huggingface_hub"></a>
192
+ <a href="https://codecov.io/gh/huggingface/huggingface_hub"><img alt="Code coverage" src="https://codecov.io/gh/huggingface/huggingface_hub/branch/main/graph/badge.svg?token=RXP95LE2XL"></a>
193
+ </p>
194
+
195
+ <h4 align="center">
196
+ <p>
197
+ <b>English</b> |
198
+ <a href="https://github.com/huggingface/huggingface_hub/blob/main/i18n/README_de.md">Deutsch</a> |
199
+ <a href="https://github.com/huggingface/huggingface_hub/blob/main/i18n/README_fr.md">Français</a> |
200
+ <a href="https://github.com/huggingface/huggingface_hub/blob/main/i18n/README_hi.md">हिंदी</a> |
201
+ <a href="https://github.com/huggingface/huggingface_hub/blob/main/i18n/README_ko.md">한국어</a> |
202
+ <a href="https://github.com/huggingface/huggingface_hub/blob/main/i18n/README_cn.md">中文 (简体)</a> |
203
+ <a href="https://github.com/huggingface/huggingface_hub/blob/main/i18n/README_kn.md">ಕನ್ನಡ</a>
204
+ </p>
205
+ </h4>
206
+
207
+ ## Quick start
208
+
209
+ Install the [`hf` CLI](https://huggingface.co/docs/huggingface_hub/en/guides/cli) with the standalone installer:
210
+
211
+ ```bash
212
+ # On macOS and Linux.
213
+ curl -LsSf https://hf.co/cli/install.sh | bash
214
+ ```
215
+
216
+ ```powershell
217
+ # On Windows.
218
+ powershell -ExecutionPolicy ByPass -c "irm https://hf.co/cli/install.ps1 | iex"
219
+ ```
220
+
221
+ Log in, then start working with the Hub:
222
+
223
+ ```bash
224
+ # Log in (use --token $HF_TOKEN in non-interactive environments)
225
+ hf auth login
226
+
227
+ # Find models served by Inference Providers
228
+ hf models ls --warm
229
+
230
+ # Download a model
231
+ hf download Qwen/Qwen3-0.6B
232
+
233
+ # Upload files to your own repo
234
+ hf upload username/my-cool-model ./model.safetensors
235
+
236
+ # Sync a local folder to a storage bucket
237
+ hf buckets sync ./checkpoints hf://buckets/username/my-bucket
238
+
239
+ # Run a job on Hugging Face infrastructure
240
+ hf jobs run python:3.12 python -c "print('Hello from the cloud!')"
241
+
242
+ # Discover everything else
243
+ hf --help
244
+ ```
245
+
246
+ The Hub uses tokens to authenticate applications (see [docs](https://huggingface.co/docs/hub/security-tokens)). Check out the [CLI guide](https://huggingface.co/docs/huggingface_hub/en/guides/cli) for a tour of the main features.
247
+
248
+ ## What is `huggingface_hub`?
249
+
250
+ The `huggingface_hub` library allows you to interact with the [Hugging Face Hub](https://huggingface.co/), a platform democratizing open-source Machine Learning for creators and collaborators. Discover pre-trained models and datasets for your projects, play with the thousands of machine learning apps hosted on the Hub, or create and share your own models, datasets and demos with the community. Everything ships in one package with two interfaces: the [`hf` CLI](https://huggingface.co/docs/huggingface_hub/en/guides/cli) for your terminal and the `huggingface_hub` library for Python — both designed to work well for humans and AI agents. Use them to:
251
+
252
+ - [Download files](https://huggingface.co/docs/huggingface_hub/en/guides/download) from the Hub.
253
+ - [Upload files](https://huggingface.co/docs/huggingface_hub/en/guides/upload) to the Hub.
254
+ - [Manage your repositories](https://huggingface.co/docs/huggingface_hub/en/guides/repository).
255
+ - [Run Inference](https://huggingface.co/docs/huggingface_hub/en/guides/inference) on deployed models.
256
+ - [Run Jobs](https://huggingface.co/docs/huggingface_hub/en/guides/jobs) on Hugging Face infrastructure.
257
+ - [Search](https://huggingface.co/docs/huggingface_hub/en/guides/search) for models, datasets and Spaces.
258
+ - [Share Model Cards](https://huggingface.co/docs/huggingface_hub/en/guides/model-cards) to document your models.
259
+ - [Engage with the community](https://huggingface.co/docs/huggingface_hub/en/guides/community) through PRs and comments.
260
+ - Do all of the above from the terminal with the [`hf` CLI](https://huggingface.co/docs/huggingface_hub/en/guides/cli).
261
+
262
+ ## Built for humans and AI agents
263
+
264
+ The `hf` CLI is designed for people and coding agents alike: the same commands adapt their output when run by an agent. If you use Claude Code, Codex, Cursor, or another coding agent, install the `hf` CLI Skill — a command reference generated from your installed CLI:
265
+
266
+ ```bash
267
+ # for Codex, Cursor, OpenCode, Pi and other agents that load skills from `.agents/skills`
268
+ hf skills add
269
+ # includes the above + Claude Code
270
+ hf skills add --claude
271
+ ```
272
+
273
+ Learn more in the [Hugging Face CLI for AI agents guide](https://huggingface.co/docs/hub/agents-cli) and the [announcement blog post](https://huggingface.co/blog/hf-cli-for-agents).
274
+
275
+ ## Use the Python library
276
+
277
+ Install the `huggingface_hub` package with [pip](https://pypi.org/project/huggingface-hub/) (this also installs the `hf` CLI):
278
+
279
+ ```bash
280
+ pip install huggingface_hub
281
+ ```
282
+
283
+ We recommend using [`uv`](https://docs.astral.sh/uv/) for a fast and reliable install:
284
+
285
+ ```bash
286
+ uv pip install huggingface_hub
287
+ ```
288
+
289
+ In order to keep the package minimal by default, `huggingface_hub` comes with optional dependencies useful for some use cases. For example, if you want to use the MCP module, run:
290
+
291
+ ```bash
292
+ pip install "huggingface_hub[mcp]"
293
+ ```
294
+
295
+ To learn more about installation and optional dependencies, check out the [installation guide](https://huggingface.co/docs/huggingface_hub/en/installation).
296
+
297
+ ### Download files
298
+
299
+ Download a single file
300
+
301
+ ```py
302
+ from huggingface_hub import hf_hub_download
303
+
304
+ hf_hub_download(repo_id="zai-org/GLM-5.2", filename="config.json")
305
+ ```
306
+
307
+ Or an entire repository
308
+
309
+ ```py
310
+ from huggingface_hub import snapshot_download
311
+
312
+ snapshot_download("sentence-transformers/all-MiniLM-L6-v2")
313
+ ```
314
+
315
+ Files will be downloaded in a local cache folder. More details in [this guide](https://huggingface.co/docs/huggingface_hub/en/guides/manage-cache).
316
+
317
+ ### Create a repository
318
+
319
+ ```py
320
+ from huggingface_hub import create_repo
321
+
322
+ create_repo(repo_id="super-cool-model")
323
+ ```
324
+
325
+ ### Upload files
326
+
327
+ Upload a single file
328
+
329
+ ```py
330
+ from huggingface_hub import upload_file
331
+
332
+ upload_file(
333
+ path_or_fileobj="/home/lysandre/dummy-test/README.md",
334
+ path_in_repo="README.md",
335
+ repo_id="lysandre/test-model",
336
+ )
337
+ ```
338
+
339
+ Or an entire folder
340
+
341
+ ```py
342
+ from huggingface_hub import upload_folder
343
+
344
+ upload_folder(
345
+ folder_path="/path/to/local/space",
346
+ repo_id="username/my-cool-space",
347
+ repo_type="space",
348
+ )
349
+ ```
350
+
351
+ More details in the [upload guide](https://huggingface.co/docs/huggingface_hub/en/guides/upload).
352
+
353
+ ## Integrating with the Hub.
354
+
355
+ We're partnering with cool open source ML libraries to provide free model hosting and versioning. You can find the existing integrations [here](https://huggingface.co/docs/hub/libraries).
356
+
357
+ The advantages are:
358
+
359
+ - Free model or dataset hosting for libraries and their users.
360
+ - Built-in file versioning, even with very large files, made possible by [Xet](https://huggingface.co/docs/hub/xet/index), the Hub's chunk-deduplicated storage backend.
361
+ - In-browser widgets to play with the uploaded models.
362
+ - Anyone can upload a new model for your library, they just need to add the corresponding tag for the model to be discoverable.
363
+ - Fast downloads! We use Cloudfront (a CDN) to geo-replicate downloads so they're blazing fast from anywhere on the globe.
364
+ - Usage stats and more features to come.
365
+
366
+ If you would like to integrate your library, feel free to open an issue to begin the discussion. We wrote a [step-by-step guide](https://huggingface.co/docs/hub/adding-a-library) with ❤️ showing how to do this integration.
367
+
368
+ ## Contributions (feature requests, bugs, etc.) are super welcome 💙💚💛💜🧡❤️
369
+
370
+ Everyone is welcome to contribute, and we value everybody's contribution. Code is not the only way to help the community.
371
+ Answering questions, helping others, reaching out and improving the documentations are immensely valuable to the community.
372
+ We wrote a [contribution guide](https://github.com/huggingface/huggingface_hub/blob/main/CONTRIBUTING.md) to summarize
373
+ how to get started to contribute to this repository.
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1
+ Metadata-Version: 2.1
2
+ Name: contourpy
3
+ Version: 1.3.3
4
+ Summary: Python library for calculating contours of 2D quadrilateral grids
5
+ Author-Email: Ian Thomas <ianthomas23@gmail.com>
6
+ License: BSD 3-Clause License
7
+
8
+ Copyright (c) 2021-2025, ContourPy Developers.
9
+ All rights reserved.
10
+
11
+ Redistribution and use in source and binary forms, with or without
12
+ modification, are permitted provided that the following conditions are met:
13
+
14
+ 1. Redistributions of source code must retain the above copyright notice, this
15
+ list of conditions and the following disclaimer.
16
+
17
+ 2. Redistributions in binary form must reproduce the above copyright notice,
18
+ this list of conditions and the following disclaimer in the documentation
19
+ and/or other materials provided with the distribution.
20
+
21
+ 3. Neither the name of the copyright holder nor the names of its
22
+ contributors may be used to endorse or promote products derived from
23
+ this software without specific prior written permission.
24
+
25
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
26
+ AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
27
+ IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
28
+ DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
29
+ FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
30
+ DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
31
+ SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
32
+ CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
33
+ OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
34
+ OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
35
+
36
+ Classifier: Development Status :: 5 - Production/Stable
37
+ Classifier: Intended Audience :: Developers
38
+ Classifier: Intended Audience :: Science/Research
39
+ Classifier: License :: OSI Approved :: BSD License
40
+ Classifier: Programming Language :: C++
41
+ Classifier: Programming Language :: Python :: 3
42
+ Classifier: Programming Language :: Python :: 3.11
43
+ Classifier: Programming Language :: Python :: 3.12
44
+ Classifier: Programming Language :: Python :: 3.13
45
+ Classifier: Programming Language :: Python :: 3.14
46
+ Classifier: Topic :: Scientific/Engineering :: Information Analysis
47
+ Classifier: Topic :: Scientific/Engineering :: Mathematics
48
+ Classifier: Topic :: Scientific/Engineering :: Visualization
49
+ Project-URL: Homepage, https://github.com/contourpy/contourpy
50
+ Project-URL: Changelog, https://contourpy.readthedocs.io/en/latest/changelog.html
51
+ Project-URL: Documentation, https://contourpy.readthedocs.io
52
+ Project-URL: Repository, https://github.com/contourpy/contourpy
53
+ Requires-Python: >=3.11
54
+ Requires-Dist: numpy>=1.25
55
+ Provides-Extra: docs
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+ Requires-Dist: furo; extra == "docs"
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+ Requires-Dist: sphinx>=7.2; extra == "docs"
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+ Requires-Dist: sphinx-copybutton; extra == "docs"
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+ Provides-Extra: bokeh
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+ Requires-Dist: bokeh; extra == "bokeh"
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+ Requires-Dist: selenium; extra == "bokeh"
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+ Provides-Extra: mypy
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+ Requires-Dist: contourpy[bokeh,docs]; extra == "mypy"
64
+ Requires-Dist: bokeh; extra == "mypy"
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+ Requires-Dist: docutils-stubs; extra == "mypy"
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+ Requires-Dist: mypy==1.17.0; extra == "mypy"
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+ Requires-Dist: types-Pillow; extra == "mypy"
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+ Provides-Extra: test
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+ Requires-Dist: contourpy[test-no-images]; extra == "test"
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+ Requires-Dist: matplotlib; extra == "test"
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+ Requires-Dist: Pillow; extra == "test"
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+ Provides-Extra: test-no-images
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+ Requires-Dist: pytest; extra == "test-no-images"
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+ Requires-Dist: pytest-cov; extra == "test-no-images"
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+ Requires-Dist: pytest-rerunfailures; extra == "test-no-images"
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+ Requires-Dist: pytest-xdist; extra == "test-no-images"
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+ Requires-Dist: wurlitzer; extra == "test-no-images"
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+ Description-Content-Type: text/markdown
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+
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+ <img alt="ContourPy" src="https://raw.githubusercontent.com/contourpy/contourpy/main/docs/_static/contourpy_logo_horiz.svg" height="90">
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+
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+ ContourPy is a Python library for calculating contours of 2D quadrilateral grids. It is written in C++11 and wrapped using pybind11.
83
+
84
+ It contains the 2005 and 2014 algorithms used in Matplotlib as well as a newer algorithm that includes more features and is available in both serial and multithreaded versions. It provides an easy way for Python libraries to use contouring algorithms without having to include Matplotlib as a dependency.
85
+
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+ * **Documentation**: https://contourpy.readthedocs.io
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+ * **Source code**: https://github.com/contourpy/contourpy
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+
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+ | | |
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+ | --- | --- |
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+ | Latest release | [![PyPI version](https://img.shields.io/pypi/v/contourpy.svg?label=pypi&color=fdae61)](https://pypi.python.org/pypi/contourpy) [![conda-forge version](https://img.shields.io/conda/v/conda-forge/contourpy.svg?label=conda-forge&color=a6d96a)](https://anaconda.org/conda-forge/contourpy) |
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+ | Downloads | [![PyPi downloads](https://img.shields.io/pypi/dm/contourpy?label=pypi&style=flat&color=fdae61)](https://pepy.tech/project/contourpy) |
93
+ | Python version | [![Platforms](https://img.shields.io/pypi/pyversions/contourpy?color=fdae61)](https://pypi.org/project/contourpy/) |
94
+ | Coverage | [![Codecov](https://img.shields.io/codecov/c/gh/contourpy/contourpy?color=fdae61&label=codecov)](https://app.codecov.io/gh/contourpy/contourpy) |
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