This repository has been archived by the owner on Oct 18, 2022. It is now read-only.
-
Notifications
You must be signed in to change notification settings - Fork 0
/
jupyter_notebook_config.py
562 lines (438 loc) · 20.1 KB
/
jupyter_notebook_config.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
# Configuration file for jupyter-notebook.
#------------------------------------------------------------------------------
# Configurable configuration
#------------------------------------------------------------------------------
#------------------------------------------------------------------------------
# LoggingConfigurable configuration
#------------------------------------------------------------------------------
# A parent class for Configurables that log.
#
# Subclasses have a log trait, and the default behavior is to get the logger
# from the currently running Application.
#------------------------------------------------------------------------------
# SingletonConfigurable configuration
#------------------------------------------------------------------------------
# A configurable that only allows one instance.
#
# This class is for classes that should only have one instance of itself or
# *any* subclass. To create and retrieve such a class use the
# :meth:`SingletonConfigurable.instance` method.
#------------------------------------------------------------------------------
# Application configuration
#------------------------------------------------------------------------------
# This is an application.
# The date format used by logging formatters for %(asctime)s
# c.Application.log_datefmt = '%Y-%m-%d %H:%M:%S'
# The Logging format template
# c.Application.log_format = '[%(name)s]%(highlevel)s %(message)s'
# Set the log level by value or name.
# c.Application.log_level = 30
#------------------------------------------------------------------------------
# JupyterApp configuration
#------------------------------------------------------------------------------
# Base class for Jupyter applications
# Answer yes to any prompts.
# c.JupyterApp.answer_yes = False
# Full path of a config file.
# c.JupyterApp.config_file = u''
# Specify a config file to load.
# c.JupyterApp.config_file_name = u''
# Generate default config file.
# c.JupyterApp.generate_config = False
#------------------------------------------------------------------------------
# NotebookApp configuration
#------------------------------------------------------------------------------
# Set the Access-Control-Allow-Credentials: true header
# c.NotebookApp.allow_credentials = False
# Set the Access-Control-Allow-Origin header
#
# Use '*' to allow any origin to access your server.
#
# Takes precedence over allow_origin_pat.
# c.NotebookApp.allow_origin = ''
# Use a regular expression for the Access-Control-Allow-Origin header
#
# Requests from an origin matching the expression will get replies with:
#
# Access-Control-Allow-Origin: origin
#
# where `origin` is the origin of the request.
#
# Ignored if allow_origin is set.
# c.NotebookApp.allow_origin_pat = ''
# DEPRECATED use base_url
# c.NotebookApp.base_project_url = '/'
# The base URL for the notebook server.
#
# Leading and trailing slashes can be omitted, and will automatically be added.
# c.NotebookApp.base_url = '/'
# Specify what command to use to invoke a web browser when opening the notebook.
# If not specified, the default browser will be determined by the `webbrowser`
# standard library module, which allows setting of the BROWSER environment
# variable to override it.
# c.NotebookApp.browser = u''
# The full path to an SSL/TLS certificate file.
# c.NotebookApp.certfile = u''
# The full path to a certificate authority certifificate for SSL/TLS client
# authentication.
# c.NotebookApp.client_ca = u''
# The config manager class to use
# c.NotebookApp.config_manager_class = 'notebook.services.config.manager.ConfigManager'
# The notebook manager class to use.
# c.NotebookApp.contents_manager_class = 'notebook.services.contents.filemanager.FileContentsManager'
# The random bytes used to secure cookies. By default this is a new random
# number every time you start the Notebook. Set it to a value in a config file
# to enable logins to persist across server sessions.
#
# Note: Cookie secrets should be kept private, do not share config files with
# cookie_secret stored in plaintext (you can read the value from a file).
# c.NotebookApp.cookie_secret = ''
# The file where the cookie secret is stored.
# c.NotebookApp.cookie_secret_file = u''
# The default URL to redirect to from `/`
# c.NotebookApp.default_url = '/tree'
# Whether to enable MathJax for typesetting math/TeX
#
# MathJax is the javascript library Jupyter uses to render math/LaTeX. It is
# very large, so you may want to disable it if you have a slow internet
# connection, or for offline use of the notebook.
#
# When disabled, equations etc. will appear as their untransformed TeX source.
# c.NotebookApp.enable_mathjax = True
# extra paths to look for Javascript notebook extensions
# c.NotebookApp.extra_nbextensions_path = []
# Extra paths to search for serving static files.
#
# This allows adding javascript/css to be available from the notebook server
# machine, or overriding individual files in the IPython
# c.NotebookApp.extra_static_paths = []
# Extra paths to search for serving jinja templates.
#
# Can be used to override templates from notebook.templates.
# c.NotebookApp.extra_template_paths = []
#
# c.NotebookApp.file_to_run = ''
# Use minified JS file or not, mainly use during dev to avoid JS recompilation
# c.NotebookApp.ignore_minified_js = False
# The IP address the notebook server will listen on.
# c.NotebookApp.ip = 'localhost'
# Supply extra arguments that will be passed to Jinja environment.
# c.NotebookApp.jinja_environment_options = {}
# Extra variables to supply to jinja templates when rendering.
# c.NotebookApp.jinja_template_vars = {}
# The kernel manager class to use.
# c.NotebookApp.kernel_manager_class = 'notebook.services.kernels.kernelmanager.MappingKernelManager'
# The kernel spec manager class to use. Should be a subclass of
# `jupyter_client.kernelspec.KernelSpecManager`.
#
# The Api of KernelSpecManager is provisional and might change without warning
# between this version of Jupyter and the next stable one.
# c.NotebookApp.kernel_spec_manager_class = 'jupyter_client.kernelspec.KernelSpecManager'
# The full path to a private key file for usage with SSL/TLS.
# c.NotebookApp.keyfile = u''
# The login handler class to use.
# c.NotebookApp.login_handler_class = 'notebook.auth.login.LoginHandler'
# The logout handler class to use.
# c.NotebookApp.logout_handler_class = 'notebook.auth.logout.LogoutHandler'
# The url for MathJax.js.
# c.NotebookApp.mathjax_url = ''
# The directory to use for notebooks and kernels.
# c.NotebookApp.notebook_dir = u''
# Whether to open in a browser after starting. The specific browser used is
# platform dependent and determined by the python standard library `webbrowser`
# module, unless it is overridden using the --browser (NotebookApp.browser)
# configuration option.
# c.NotebookApp.open_browser = True
# Hashed password to use for web authentication.
#
# To generate, type in a python/IPython shell:
#
# from notebook.auth import passwd; passwd()
#
# The string should be of the form type:salt:hashed-password.
# c.NotebookApp.password = u''
# The port the notebook server will listen on.
# c.NotebookApp.port = 8888
# The number of additional ports to try if the specified port is not available.
# c.NotebookApp.port_retries = 50
# DISABLED: use %pylab or %matplotlib in the notebook to enable matplotlib.
# c.NotebookApp.pylab = 'disabled'
# Reraise exceptions encountered loading server extensions?
# c.NotebookApp.reraise_server_extension_failures = False
# Python modules to load as notebook server extensions. This is an experimental
# API, and may change in future releases.
# c.NotebookApp.server_extensions = []
# The session manager class to use.
# c.NotebookApp.session_manager_class = 'notebook.services.sessions.sessionmanager.SessionManager'
# Supply SSL options for the tornado HTTPServer. See the tornado docs for
# details.
# c.NotebookApp.ssl_options = {}
# Supply overrides for the tornado.web.Application that the Jupyter notebook
# uses.
# c.NotebookApp.tornado_settings = {}
# Whether to trust or not X-Scheme/X-Forwarded-Proto and X-Real-Ip/X-Forwarded-
# For headerssent by the upstream reverse proxy. Necessary if the proxy handles
# SSL
# c.NotebookApp.trust_xheaders = False
# DEPRECATED, use tornado_settings
# c.NotebookApp.webapp_settings = {}
# The base URL for websockets, if it differs from the HTTP server (hint: it
# almost certainly doesn't).
#
# Should be in the form of an HTTP origin: ws[s]://hostname[:port]
# c.NotebookApp.websocket_url = ''
#------------------------------------------------------------------------------
# ConnectionFileMixin configuration
#------------------------------------------------------------------------------
# Mixin for configurable classes that work with connection files
# JSON file in which to store connection info [default: kernel-<pid>.json]
#
# This file will contain the IP, ports, and authentication key needed to connect
# clients to this kernel. By default, this file will be created in the security
# dir of the current profile, but can be specified by absolute path.
# c.ConnectionFileMixin.connection_file = ''
# set the control (ROUTER) port [default: random]
# c.ConnectionFileMixin.control_port = 0
# set the heartbeat port [default: random]
# c.ConnectionFileMixin.hb_port = 0
# set the iopub (PUB) port [default: random]
# c.ConnectionFileMixin.iopub_port = 0
# Set the kernel's IP address [default localhost]. If the IP address is
# something other than localhost, then Consoles on other machines will be able
# to connect to the Kernel, so be careful!
# c.ConnectionFileMixin.ip = u''
# set the shell (ROUTER) port [default: random]
# c.ConnectionFileMixin.shell_port = 0
# set the stdin (ROUTER) port [default: random]
# c.ConnectionFileMixin.stdin_port = 0
#
# c.ConnectionFileMixin.transport = 'tcp'
#------------------------------------------------------------------------------
# KernelManager configuration
#------------------------------------------------------------------------------
# Manages a single kernel in a subprocess on this host.
#
# This version starts kernels with Popen.
# Should we autorestart the kernel if it dies.
# c.KernelManager.autorestart = True
# DEPRECATED: Use kernel_name instead.
#
# The Popen Command to launch the kernel. Override this if you have a custom
# kernel. If kernel_cmd is specified in a configuration file, Jupyter does not
# pass any arguments to the kernel, because it cannot make any assumptions about
# the arguments that the kernel understands. In particular, this means that the
# kernel does not receive the option --debug if it given on the Jupyter command
# line.
# c.KernelManager.kernel_cmd = []
#------------------------------------------------------------------------------
# Session configuration
#------------------------------------------------------------------------------
# Object for handling serialization and sending of messages.
#
# The Session object handles building messages and sending them with ZMQ sockets
# or ZMQStream objects. Objects can communicate with each other over the
# network via Session objects, and only need to work with the dict-based IPython
# message spec. The Session will handle serialization/deserialization, security,
# and metadata.
#
# Sessions support configurable serialization via packer/unpacker traits, and
# signing with HMAC digests via the key/keyfile traits.
#
# Parameters ----------
#
# debug : bool
# whether to trigger extra debugging statements
# packer/unpacker : str : 'json', 'pickle' or import_string
# importstrings for methods to serialize message parts. If just
# 'json' or 'pickle', predefined JSON and pickle packers will be used.
# Otherwise, the entire importstring must be used.
#
# The functions must accept at least valid JSON input, and output *bytes*.
#
# For example, to use msgpack:
# packer = 'msgpack.packb', unpacker='msgpack.unpackb'
# pack/unpack : callables
# You can also set the pack/unpack callables for serialization directly.
# session : bytes
# the ID of this Session object. The default is to generate a new UUID.
# username : unicode
# username added to message headers. The default is to ask the OS.
# key : bytes
# The key used to initialize an HMAC signature. If unset, messages
# will not be signed or checked.
# keyfile : filepath
# The file containing a key. If this is set, `key` will be initialized
# to the contents of the file.
# Threshold (in bytes) beyond which an object's buffer should be extracted to
# avoid pickling.
# c.Session.buffer_threshold = 1024
# Whether to check PID to protect against calls after fork.
#
# This check can be disabled if fork-safety is handled elsewhere.
# c.Session.check_pid = True
# Threshold (in bytes) beyond which a buffer should be sent without copying.
# c.Session.copy_threshold = 65536
# Debug output in the Session
# c.Session.debug = False
# The maximum number of digests to remember.
#
# The digest history will be culled when it exceeds this value.
# c.Session.digest_history_size = 65536
# The maximum number of items for a container to be introspected for custom
# serialization. Containers larger than this are pickled outright.
# c.Session.item_threshold = 64
# execution key, for signing messages.
# c.Session.key = ''
# path to file containing execution key.
# c.Session.keyfile = ''
# Metadata dictionary, which serves as the default top-level metadata dict for
# each message.
# c.Session.metadata = {}
# The name of the packer for serializing messages. Should be one of 'json',
# 'pickle', or an import name for a custom callable serializer.
# c.Session.packer = 'json'
# The UUID identifying this session.
# c.Session.session = u''
# The digest scheme used to construct the message signatures. Must have the form
# 'hmac-HASH'.
# c.Session.signature_scheme = 'hmac-sha256'
# The name of the unpacker for unserializing messages. Only used with custom
# functions for `packer`.
# c.Session.unpacker = 'json'
# Username for the Session. Default is your system username.
# c.Session.username = u'dang'
#------------------------------------------------------------------------------
# MultiKernelManager configuration
#------------------------------------------------------------------------------
# A class for managing multiple kernels.
# The name of the default kernel to start
# c.MultiKernelManager.default_kernel_name = 'python2'
# The kernel manager class. This is configurable to allow subclassing of the
# KernelManager for customized behavior.
# c.MultiKernelManager.kernel_manager_class = 'jupyter_client.ioloop.IOLoopKernelManager'
#------------------------------------------------------------------------------
# MappingKernelManager configuration
#------------------------------------------------------------------------------
# A KernelManager that handles notebook mapping and HTTP error handling
#
# c.MappingKernelManager.root_dir = u''
#------------------------------------------------------------------------------
# ContentsManager configuration
#------------------------------------------------------------------------------
# Base class for serving files and directories.
#
# This serves any text or binary file, as well as directories, with special
# handling for JSON notebook documents.
#
# Most APIs take a path argument, which is always an API-style unicode path, and
# always refers to a directory.
#
# - unicode, not url-escaped
# - '/'-separated
# - leading and trailing '/' will be stripped
# - if unspecified, path defaults to '',
# indicating the root path.
#
# c.ContentsManager.checkpoints = None
#
# c.ContentsManager.checkpoints_class = 'notebook.services.contents.checkpoints.Checkpoints'
#
# c.ContentsManager.checkpoints_kwargs = {}
# Glob patterns to hide in file and directory listings.
# c.ContentsManager.hide_globs = [u'__pycache__', '*.pyc', '*.pyo', '.DS_Store', '*.so', '*.dylib', '*~']
# Python callable or importstring thereof
#
# To be called on a contents model prior to save.
#
# This can be used to process the structure, such as removing notebook outputs
# or other side effects that should not be saved.
#
# It will be called as (all arguments passed by keyword)::
#
# hook(path=path, model=model, contents_manager=self)
#
# - model: the model to be saved. Includes file contents.
# Modifying this dict will affect the file that is stored.
# - path: the API path of the save destination
# - contents_manager: this ContentsManager instance
# c.ContentsManager.pre_save_hook = None
# The base name used when creating untitled directories.
# c.ContentsManager.untitled_directory = 'Untitled Folder'
# The base name used when creating untitled files.
# c.ContentsManager.untitled_file = 'untitled'
# The base name used when creating untitled notebooks.
# c.ContentsManager.untitled_notebook = 'Untitled'
#------------------------------------------------------------------------------
# FileManagerMixin configuration
#------------------------------------------------------------------------------
# Mixin for ContentsAPI classes that interact with the filesystem.
#
# Provides facilities for reading, writing, and copying both notebooks and
# generic files.
#
# Shared by FileContentsManager and FileCheckpoints.
#
# Note ---- Classes using this mixin must provide the following attributes:
#
# root_dir : unicode
# A directory against against which API-style paths are to be resolved.
#
# log : logging.Logger
# By default notebooks are saved on disk on a temporary file and then if
# succefully written, it replaces the old ones. This procedure, namely
# 'atomic_writing', causes some bugs on file system whitout operation order
# enforcement (like some networked fs). If set to False, the new notebook is
# written directly on the old one which could fail (eg: full filesystem or quota
# )
# c.FileManagerMixin.use_atomic_writing = True
#------------------------------------------------------------------------------
# FileContentsManager configuration
#------------------------------------------------------------------------------
# Python callable or importstring thereof
#
# to be called on the path of a file just saved.
#
# This can be used to process the file on disk, such as converting the notebook
# to a script or HTML via nbconvert.
#
# It will be called as (all arguments passed by keyword)::
#
# hook(os_path=os_path, model=model, contents_manager=instance)
#
# - path: the filesystem path to the file just written - model: the model
# representing the file - contents_manager: this ContentsManager instance
# c.FileContentsManager.post_save_hook = None
#
# c.FileContentsManager.root_dir = u''
# DEPRECATED, use post_save_hook
# c.FileContentsManager.save_script = False
#------------------------------------------------------------------------------
# NotebookNotary configuration
#------------------------------------------------------------------------------
# A class for computing and verifying notebook signatures.
# The hashing algorithm used to sign notebooks.
# c.NotebookNotary.algorithm = 'sha256'
# The number of notebook signatures to cache. When the number of signatures
# exceeds this value, the oldest 25% of signatures will be culled.
# c.NotebookNotary.cache_size = 65535
# The sqlite file in which to store notebook signatures. By default, this will
# be in your Jupyter runtime directory. You can set it to ':memory:' to disable
# sqlite writing to the filesystem.
# c.NotebookNotary.db_file = u''
# The secret key with which notebooks are signed.
# c.NotebookNotary.secret = ''
# The file where the secret key is stored.
# c.NotebookNotary.secret_file = u''
#------------------------------------------------------------------------------
# KernelSpecManager configuration
#------------------------------------------------------------------------------
# If there is no Python kernelspec registered and the IPython kernel is
# available, ensure it is added to the spec list.
# c.KernelSpecManager.ensure_native_kernel = True
# The kernel spec class. This is configurable to allow subclassing of the
# KernelSpecManager for customized behavior.
# c.KernelSpecManager.kernel_spec_class = 'jupyter_client.kernelspec.KernelSpec'
# Whitelist of allowed kernel names.
#
# By default, all installed kernels are allowed.
# c.KernelSpecManager.whitelist = set([])